From a7e23bfbc16b6ccaa86a0641f5a446bc1b3f977a Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 4 May 2023 12:24:59 +0200 Subject: [PATCH 01/54] Add LMQL (as a dependency) --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index e1900ef5360..8a49be34987 100644 --- a/requirements.txt +++ b/requirements.txt @@ -24,6 +24,7 @@ click charset-normalizer>=3.1.0 spacy>=3.0.0,<4.0.0 en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl +lmql >=0.0.6.1,<0.1.0.0 ##Dev coverage From cbb85c20796a293c7612913a255c81485a21aac6 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 5 May 2023 02:47:14 +0200 Subject: [PATCH 02/54] WIP: memory implementation revamp --- .env.template | 8 +- autogpt/app.py | 7 +- autogpt/commands/web_selenium.py | 2 +- autogpt/config/config.py | 21 +-- autogpt/llm/llm_utils.py | 138 ++++++++++-------- autogpt/llm/providers/openai.py | 2 +- autogpt/memory/__init__.py | 26 ++-- autogpt/memory/local.py | 126 ---------------- autogpt/memory/memory_item.py | 50 +++++++ autogpt/memory/providers/__init__.py | 15 ++ autogpt/memory/{ => providers}/base.py | 16 +- autogpt/memory/providers/json_file.py | 105 +++++++++++++ autogpt/memory/{ => providers}/milvus.py | 3 +- autogpt/memory/{ => providers}/no_memory.py | 2 +- autogpt/memory/{ => providers}/pinecone.py | 3 +- .../{redismem.py => providers/redis.py} | 111 ++++++++------ autogpt/memory/{ => providers}/weaviate.py | 3 +- autogpt/memory/utils.py | 51 +++++++ autogpt/processing/text.py | 108 +++++++++++++- autogpt/utils.py | 9 ++ tests/integration/agent_factory.py | 2 +- tests/integration/memory_tests.py | 50 ------- tests/integration/milvus_memory_tests.py | 2 +- tests/integration/test_json_file_memory.py | 102 +++++++++++++ tests/integration/test_local_cache.py | 110 -------------- tests/integration/weaviate_memory_tests.py | 2 +- tests/milvus_memory_test.py | 2 +- 27 files changed, 624 insertions(+), 452 deletions(-) delete mode 100644 autogpt/memory/local.py create mode 100644 autogpt/memory/memory_item.py create mode 100644 autogpt/memory/providers/__init__.py rename autogpt/memory/{ => providers}/base.py (57%) create mode 100644 autogpt/memory/providers/json_file.py rename autogpt/memory/{ => providers}/milvus.py (98%) rename autogpt/memory/{ => providers}/no_memory.py (96%) rename autogpt/memory/{ => providers}/pinecone.py (98%) rename autogpt/memory/{redismem.py => providers/redis.py} (59%) rename autogpt/memory/{ => providers}/weaviate.py (98%) create mode 100644 autogpt/memory/utils.py delete mode 100644 tests/integration/memory_tests.py create mode 100644 tests/integration/test_json_file_memory.py delete mode 100644 tests/integration/test_local_cache.py diff --git a/.env.template b/.env.template index 33cabc967f4..55907733b80 100644 --- a/.env.template +++ b/.env.template @@ -68,23 +68,19 @@ OPENAI_API_KEY=your-openai-api-key ### EMBEDDINGS ## EMBEDDING_MODEL - Model to use for creating embeddings -## EMBEDDING_TOKENIZER - Tokenizer to use for chunking large inputs -## EMBEDDING_TOKEN_LIMIT - Chunk size limit for large inputs # EMBEDDING_MODEL=text-embedding-ada-002 -# EMBEDDING_TOKENIZER=cl100k_base -# EMBEDDING_TOKEN_LIMIT=8191 ################################################################################ ### MEMORY ################################################################################ ### MEMORY_BACKEND - Memory backend type -## local - Default +## json_file - Default ## pinecone - Pinecone (if configured) ## redis - Redis (if configured) ## milvus - Milvus (if configured - also works with Zilliz) ## MEMORY_INDEX - Name of index created in Memory backend (Default: auto-gpt) -# MEMORY_BACKEND=local +# MEMORY_BACKEND=json_file # MEMORY_INDEX=auto-gpt ### PINECONE diff --git a/autogpt/app.py b/autogpt/app.py index 2fb13135528..947b2afec8b 100644 --- a/autogpt/app.py +++ b/autogpt/app.py @@ -141,7 +141,7 @@ def execute_command( ) @validate_url def get_text_summary(url: str, question: str) -> str: - """Return the results of a Google search + """Get the text summary of a webpage Args: url (str): The url to scrape @@ -151,14 +151,15 @@ def get_text_summary(url: str, question: str) -> str: str: The summary of the text """ text = scrape_text(url) - summary = summarize_text(url, text, question) + summary = summarize_text(text, question) + return f""" "Result" : {summary}""" @command("get_hyperlinks", "Get text summary", '"url": ""') @validate_url def get_hyperlinks(url: str) -> Union[str, List[str]]: - """Return the results of a Google search + """Get all hyperlinks on a webpage Args: url (str): The url to scrape diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index 0f5764b5343..cbf068ce353 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -53,7 +53,7 @@ def browse_website(url: str, question: str) -> tuple[str, WebDriver]: return f"Error: {msg}", None add_header(driver) - summary_text = summary.summarize_text(url, text, question, driver) + summary_text = summary.summarize_memorize_webpage(url, text, question, driver) links = scrape_links_with_selenium(driver, url) # Limit links to 5 diff --git a/autogpt/config/config.py b/autogpt/config/config.py index 7ee0df8b953..e533ee6f89b 100644 --- a/autogpt/config/config.py +++ b/autogpt/config/config.py @@ -17,8 +17,8 @@ class Config(metaclass=Singleton): def __init__(self) -> None: """Initialize the Config class""" - self.workspace_path = None - self.file_logger_path = None + self.workspace_path: str = None + self.file_logger_path: str = None self.debug_mode = False self.continuous_mode = False @@ -43,9 +43,6 @@ def __init__(self) -> None: self.fast_token_limit = int(os.getenv("FAST_TOKEN_LIMIT", 4000)) self.smart_token_limit = int(os.getenv("SMART_TOKEN_LIMIT", 8000)) self.embedding_model = os.getenv("EMBEDDING_MODEL", "text-embedding-ada-002") - self.embedding_tokenizer = os.getenv("EMBEDDING_TOKENIZER", "cl100k_base") - self.embedding_token_limit = int(os.getenv("EMBEDDING_TOKEN_LIMIT", 8191)) - self.browse_chunk_max_length = int(os.getenv("BROWSE_CHUNK_MAX_LENGTH", 3000)) self.browse_spacy_language_model = os.getenv( "BROWSE_SPACY_LANGUAGE_MODEL", "en_core_web_sm" ) @@ -138,7 +135,7 @@ def __init__(self) -> None: self.memory_index = os.getenv("MEMORY_INDEX", "auto-gpt") # Note that indexes must be created on db 0 in redis, this is not configurable. - self.memory_backend = os.getenv("MEMORY_BACKEND", "local") + self.memory_backend = os.getenv("MEMORY_BACKEND", "json_file") self.plugins_dir = os.getenv("PLUGINS_DIR", "plugins") self.plugins: List[AutoGPTPluginTemplate] = [] @@ -235,18 +232,6 @@ def set_embedding_model(self, value: str) -> None: """Set the model to use for creating embeddings.""" self.embedding_model = value - def set_embedding_tokenizer(self, value: str) -> None: - """Set the tokenizer to use when creating embeddings.""" - self.embedding_tokenizer = value - - def set_embedding_token_limit(self, value: int) -> None: - """Set the token limit for creating embeddings.""" - self.embedding_token_limit = value - - def set_browse_chunk_max_length(self, value: int) -> None: - """Set the browse_website command chunk max length value.""" - self.browse_chunk_max_length = value - def set_openai_api_key(self, value: str) -> None: """Set the OpenAI API key value.""" self.openai_api_key = value diff --git a/autogpt/llm/llm_utils.py b/autogpt/llm/llm_utils.py index a77bccbc06a..cb3a47f2d21 100644 --- a/autogpt/llm/llm_utils.py +++ b/autogpt/llm/llm_utils.py @@ -4,19 +4,46 @@ import time from itertools import islice from typing import List, Optional +from unittest.mock import patch import numpy as np import openai import tiktoken from colorama import Fore, Style -from openai.error import APIError, RateLimitError, Timeout +from openai.api_resources.abstract.engine_api_resource import EngineAPIResource +from openai.error import APIError, RateLimitError from autogpt.config import Config from autogpt.llm.api_manager import ApiManager from autogpt.llm.base import Message +from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS from autogpt.logs import logger +def metered(func): + """Adds ApiManager metering to functions which make OpenAI API calls""" + api_manager = ApiManager() + + def metered_create(*args, **kwargs): + response = EngineAPIResource.create(*args, **kwargs) + try: + api_manager.update_cost( + response.usage.prompt_tokens, + response.usage.completion_tokens, + response.model, + ) + except Exception as err: + logger.warn("Failed to update API costs:" + err) + return response + + @functools.wraps(func) + def metered_func(*args, **kwargs): + with patch.object(EngineAPIResource, "create", metered_create): + func(*args, **kwargs) + + return metered_func + + def retry_openai_api( num_retries: int = 10, backoff_base: float = 2.0, @@ -106,8 +133,37 @@ def call_ai_function( return create_chat_completion(model=model, messages=messages, temperature=0) +@retry_openai_api() +def create_text_completion( + prompt: str, + model: Optional[str], + temperature: Optional[float], + max_output_tokens: Optional[int], +): + cfg = Config() + if model is None: + model = cfg.fast_llm_model + if temperature is None: + temperature = cfg.temperature + + if cfg.use_azure: + kwargs = {"deployment_id": cfg.get_azure_deployment_id_for_model(model)} + else: + kwargs = {"model": model} + + response = openai.Completion.create( + **kwargs, + prompt=prompt, + temperature=temperature, + max_tokens=max_output_tokens, + api_key=cfg.openai_api_key, + ) + return response.choices[0].text + + # Overly simple abstraction until we create something better # simple retry mechanism when getting a rate error or a bad gateway +@retry_openai_api() def create_chat_completion( messages: List[Message], # type: ignore model: Optional[str] = None, @@ -129,8 +185,6 @@ def create_chat_completion( if temperature is None: temperature = cfg.temperature - num_retries = 10 - warned_user = False logger.debug( f"{Fore.GREEN}Creating chat completion with model {model}, temperature {temperature}, max_tokens {max_tokens}{Fore.RESET}" ) @@ -151,57 +205,19 @@ def create_chat_completion( return message api_manager = ApiManager() response = None - for attempt in range(num_retries): - backoff = 2 ** (attempt + 2) - try: - if cfg.use_azure: - response = api_manager.create_chat_completion( - deployment_id=cfg.get_azure_deployment_id_for_model(model), - model=model, - messages=messages, - temperature=temperature, - max_tokens=max_tokens, - ) - else: - response = api_manager.create_chat_completion( - model=model, - messages=messages, - temperature=temperature, - max_tokens=max_tokens, - ) - break - except RateLimitError: - logger.debug( - f"{Fore.RED}Error: ", f"Reached rate limit, passing...{Fore.RESET}" - ) - if not warned_user: - logger.double_check( - f"Please double check that you have setup a {Fore.CYAN + Style.BRIGHT}PAID{Style.RESET_ALL} OpenAI API Account. " - + f"You can read more here: {Fore.CYAN}https://docs.agpt.co/setup/#getting-an-api-key{Fore.RESET}" - ) - warned_user = True - except (APIError, Timeout) as e: - if e.http_status != 502: - raise - if attempt == num_retries - 1: - raise - logger.debug( - f"{Fore.RED}Error: ", - f"API Bad gateway. Waiting {backoff} seconds...{Fore.RESET}", - ) - time.sleep(backoff) - if response is None: - logger.typewriter_log( - "FAILED TO GET RESPONSE FROM OPENAI", - Fore.RED, - "Auto-GPT has failed to get a response from OpenAI's services. " - + f"Try running Auto-GPT again, and if the problem the persists try running it with `{Fore.CYAN}--debug{Fore.RESET}`.", - ) - logger.double_check() - if cfg.debug_mode: - raise RuntimeError(f"Failed to get response after {num_retries} retries") - else: - quit(1) + + if cfg.use_azure: + kwargs = {"deployment_id": cfg.get_azure_deployment_id_for_model(model)} + else: + kwargs = {"model": model} + + response = api_manager.create_chat_completion( + **kwargs, + messages=messages, + temperature=temperature, + max_tokens=max_tokens, + ) + resp = response.choices[0].message["content"] for plugin in cfg.plugins: if not plugin.can_handle_on_response(): @@ -210,7 +226,7 @@ def create_chat_completion( return resp -def batched(iterable, n): +def batch(iterable, n): """Batch data into tuples of length n. The last batch may be shorter.""" # batched('ABCDEFG', 3) --> ABC DEF G if n < 1: @@ -220,10 +236,10 @@ def batched(iterable, n): yield batch -def chunked_tokens(text, tokenizer_name, chunk_length): - tokenizer = tiktoken.get_encoding(tokenizer_name) +def chunked_tokens(text: str, for_model: str, chunk_length: int): + tokenizer = tiktoken.encoding_for_model(for_model) tokens = tokenizer.encode(text) - chunks_iterator = batched(tokens, chunk_length) + chunks_iterator = batch(tokens, chunk_length) yield from chunks_iterator @@ -265,12 +281,14 @@ def create_embedding( openai.Embedding: The embedding object. """ cfg = Config() + token_limit = OPEN_AI_EMBEDDING_MODELS[cfg.embedding_model].max_tokens + chunk_embeddings = [] chunk_lengths = [] for chunk in chunked_tokens( text, - tokenizer_name=cfg.embedding_tokenizer, - chunk_length=cfg.embedding_token_limit, + for_model=cfg.embedding_model, + chunk_length=token_limit, ): embedding = openai.Embedding.create( input=[chunk], diff --git a/autogpt/llm/providers/openai.py b/autogpt/llm/providers/openai.py index 188d5cf75b4..0c3cfaead5c 100644 --- a/autogpt/llm/providers/openai.py +++ b/autogpt/llm/providers/openai.py @@ -31,7 +31,7 @@ ), } -OPEN_AI_MODELS = { +OPEN_AI_MODELS: dict[str, ChatModelInfo | EmbeddingModelInfo] = { **OPEN_AI_CHAT_MODELS, **OPEN_AI_EMBEDDING_MODELS, } diff --git a/autogpt/memory/__init__.py b/autogpt/memory/__init__.py index a955a3e7bfd..474a4c60669 100644 --- a/autogpt/memory/__init__.py +++ b/autogpt/memory/__init__.py @@ -1,41 +1,44 @@ +from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory.local import LocalCache -from autogpt.memory.no_memory import NoMemory + +from .memory_item import MemoryItem +from .providers.json_file import JSONFileMemory +from .providers.no_memory import NoMemory # List of supported memory backends # Add a backend to this list if the import attempt is successful -supported_memory = ["local", "no_memory"] +supported_memory = ["json_file", "no_memory"] try: - from autogpt.memory.redismem import RedisMemory + from .providers.redis import RedisMemory supported_memory.append("redis") except ImportError: RedisMemory = None try: - from autogpt.memory.pinecone import PineconeMemory + from .providers.pinecone import PineconeMemory supported_memory.append("pinecone") except ImportError: PineconeMemory = None try: - from autogpt.memory.weaviate import WeaviateMemory + from .providers.weaviate import WeaviateMemory supported_memory.append("weaviate") except ImportError: WeaviateMemory = None try: - from autogpt.memory.milvus import MilvusMemory + from .providers.milvus import MilvusMemory supported_memory.append("milvus") except ImportError: MilvusMemory = None -def get_memory(cfg, init=False): +def get_memory(cfg: Config, init=False): memory = None if cfg.memory_backend == "pinecone": if not PineconeMemory: @@ -75,7 +78,7 @@ def get_memory(cfg, init=False): memory = NoMemory(cfg) if memory is None: - memory = LocalCache(cfg) + memory = JSONFileMemory(cfg) if init: memory.clear() return memory @@ -87,10 +90,11 @@ def get_supported_memory_backends(): __all__ = [ "get_memory", - "LocalCache", + "MemoryItem", + "JSONFileMemory", + "NoMemory", "RedisMemory", "PineconeMemory", - "NoMemory", "MilvusMemory", "WeaviateMemory", ] diff --git a/autogpt/memory/local.py b/autogpt/memory/local.py deleted file mode 100644 index 18b7255cb52..00000000000 --- a/autogpt/memory/local.py +++ /dev/null @@ -1,126 +0,0 @@ -from __future__ import annotations - -import dataclasses -from pathlib import Path -from typing import Any, List - -import numpy as np -import orjson - -from autogpt.llm import get_ada_embedding -from autogpt.memory.base import MemoryProviderSingleton - -EMBED_DIM = 1536 -SAVE_OPTIONS = orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_SERIALIZE_DATACLASS - - -def create_default_embeddings(): - return np.zeros((0, EMBED_DIM)).astype(np.float32) - - -@dataclasses.dataclass -class CacheContent: - texts: List[str] = dataclasses.field(default_factory=list) - embeddings: np.ndarray = dataclasses.field( - default_factory=create_default_embeddings - ) - - -class LocalCache(MemoryProviderSingleton): - """A class that stores the memory in a local file""" - - def __init__(self, cfg) -> None: - """Initialize a class instance - - Args: - cfg: Config object - - Returns: - None - """ - workspace_path = Path(cfg.workspace_path) - self.filename = workspace_path / f"{cfg.memory_index}.json" - - self.filename.touch(exist_ok=True) - - file_content = b"{}" - with self.filename.open("w+b") as f: - f.write(file_content) - - self.data = CacheContent() - - def add(self, text: str): - """ - Add text to our list of texts, add embedding as row to our - embeddings-matrix - - Args: - text: str - - Returns: None - """ - if "Command Error:" in text: - return "" - self.data.texts.append(text) - - embedding = get_ada_embedding(text) - - vector = np.array(embedding).astype(np.float32) - vector = vector[np.newaxis, :] - self.data.embeddings = np.concatenate( - [ - self.data.embeddings, - vector, - ], - axis=0, - ) - - with open(self.filename, "wb") as f: - out = orjson.dumps(self.data, option=SAVE_OPTIONS) - f.write(out) - return text - - def clear(self) -> str: - """ - Clears the data in memory. - - Returns: A message indicating that the memory has been cleared. - """ - self.data = CacheContent() - return "Obliviated" - - def get(self, data: str) -> list[Any] | None: - """ - Gets the data from the memory that is most relevant to the given data. - - Args: - data: The data to compare to. - - Returns: The most relevant data. - """ - return self.get_relevant(data, 1) - - def get_relevant(self, text: str, k: int) -> list[Any]: - """ " - matrix-vector mult to find score-for-each-row-of-matrix - get indices for top-k winning scores - return texts for those indices - Args: - text: str - k: int - - Returns: List[str] - """ - embedding = get_ada_embedding(text) - - scores = np.dot(self.data.embeddings, embedding) - - top_k_indices = np.argsort(scores)[-k:][::-1] - - return [self.data.texts[i] for i in top_k_indices] - - def get_stats(self) -> tuple[int, tuple[int, ...]]: - """ - Returns: The stats of the local cache. - """ - return len(self.data.texts), self.data.embeddings.shape diff --git a/autogpt/memory/memory_item.py b/autogpt/memory/memory_item.py new file mode 100644 index 00000000000..cf7a593453e --- /dev/null +++ b/autogpt/memory/memory_item.py @@ -0,0 +1,50 @@ +import dataclasses + +import numpy as np + +from autogpt.config import Config +from autogpt.logs import logger +from autogpt.processing.text import chunk_text, summarize_text + +from .utils import Embedding, get_embedding + + +@dataclasses.dataclass +class MemoryItem: + """Memory object containing raw content as well as embeddings""" + + raw_content: str + e_summary: Embedding + e_chunks: list[Embedding] + metadata: dict + + def from_text(text: str, metadata: dict = {}): + cfg = Config() + logger.debug(f"Memorizing text:\n{'-'*32}\n{text}\n{'-'*32}\n") + + chunks = chunk_text(text, cfg.embedding_model) + logger.debug("Chunks: " + str(chunks)) + + chunk_summaries = [summarize_text(text_chunk) for text_chunk in chunks] + logger.debug("Chunk summaries: " + str(chunk_summaries)) + + e_chunks = get_embedding(chunks) + logger.debug("Chunk embeddings: " + str(e_chunks)) + + summary = ( + chunk_summaries[0] + if len(chunks) == 1 + else summarize_text("\n\n".join(chunk_summaries)) + ) + logger.debug("Total summary: " + summary) + + # TODO: investigate search performance of weighted average vs summary + # e_average = np.average(e_chunks, axis=0, weights=[len(c) for c in chunks]) + e_summary = get_embedding(summary) + + return MemoryItem( + text, + e_summary, + e_chunks, + metadata=metadata, + ) diff --git a/autogpt/memory/providers/__init__.py b/autogpt/memory/providers/__init__.py new file mode 100644 index 00000000000..6fbf9966b03 --- /dev/null +++ b/autogpt/memory/providers/__init__.py @@ -0,0 +1,15 @@ +from .json_file import JSONFileMemory +from .milvus import MilvusMemory +from .no_memory import NoMemory +from .pinecone import PineconeMemory +from .redis import RedisMemory +from .weaviate import WeaviateMemory + +__all__ = [ + "JSONFileMemory", + "MilvusMemory", + "NoMemory", + "PineconeMemory", + "RedisMemory", + "WeaviateMemory", +] diff --git a/autogpt/memory/base.py b/autogpt/memory/providers/base.py similarity index 57% rename from autogpt/memory/base.py rename to autogpt/memory/providers/base.py index d99cadde8e5..534ce4da708 100644 --- a/autogpt/memory/base.py +++ b/autogpt/memory/providers/base.py @@ -3,26 +3,28 @@ from autogpt.singleton import AbstractSingleton +from ..memory_item import MemoryItem + class MemoryProviderSingleton(AbstractSingleton): @abc.abstractmethod - def add(self, data): + def add(self, document: str): """Adds to memory""" pass @abc.abstractmethod - def get(self, data): - """Gets from memory""" + def get(self, query: str) -> MemoryItem | None: + """Gets an item from memory based on the query""" pass @abc.abstractmethod - def clear(self): - """Clears memory""" + def get_relevant(self, query: str, num_relevant=5) -> list[MemoryItem]: + """Gets relevant memory items for the query""" pass @abc.abstractmethod - def get_relevant(self, data, num_relevant=5): - """Gets relevant memory for""" + def clear(self) -> None: + """Clears memory""" pass @abc.abstractmethod diff --git a/autogpt/memory/providers/json_file.py b/autogpt/memory/providers/json_file.py new file mode 100644 index 00000000000..2aeedb6ed31 --- /dev/null +++ b/autogpt/memory/providers/json_file.py @@ -0,0 +1,105 @@ +from __future__ import annotations + +import functools +from pathlib import Path + +import numpy as np +import orjson + +from autogpt.config import Config + +from ..memory_item import MemoryItem +from ..utils import Embedding, get_embedding +from .base import MemoryProviderSingleton + + +class JSONFileMemory(MemoryProviderSingleton): + """Memory backend that stores memories in a JSON file""" + + SAVE_OPTIONS = orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_SERIALIZE_DATACLASS + + file_path: Path + memories: list[MemoryItem] + + def __init__(self, cfg: Config) -> None: + """Initialize a class instance + + Args: + cfg: Config object + + Returns: + None + """ + workspace_path = Path(cfg.workspace_path) + self.file_path = workspace_path / f"{cfg.memory_index}.json" + self.file_path.touch() + + self.memories = [] + self.save_index() + + def add(self, document: str): + """ + Add text to our list of texts, add embedding as row to our + embeddings-matrix + + Args: + text: str + + Returns: None + """ + if "Command Error:" in document: + return None + + new_memory = MemoryItem.from_text(document) + + self.memories.append(new_memory) + self.save_index() + return new_memory + + def get(self, query: str) -> MemoryItem | None: + """ + Gets the data from the memory that is most relevant to the given query. + + Args: + data: The data to compare to. + + Returns: The most relevant Memory + """ + return self.get_relevant(query, 1)[0] + + def get_relevant(self, query: str, k: int) -> list[MemoryItem]: + """ + matrix-vector mult to find score-for-each-row-of-matrix + get indices for top-k winning scores + return texts for those indices + Args: + text: str + k: int + + Returns: list[Memory] containing the top [k] relevant memories + """ + e_query: Embedding = get_embedding(query) + + scores: list[float] = np.dot([m.e_summary for m in self.memories], e_query) + # scores: list[float] = np.dot([m.e for m in self.memories], e_query) + + top_k_indices = np.argsort(scores)[-k:][::-1] # take last 5 items and reverse + + return [self.memories[i] for i in top_k_indices] + + def get_stats(self) -> tuple[int, int]: + """ + Returns: The stats of the local cache in a tuple (n_memories, n_chunks) + """ + return len(self.memories), functools.reduce( + lambda t, m: t + len(m.e_chunks), self.memories, 0 + ) + + def clear(self): + """Clears the data in memory.""" + self.memories = [] + self.save_index() + + def save_index(self): + with self.file_path.open("wb") as f: + f.write(orjson.dumps(self.memories, option=self.SAVE_OPTIONS)) diff --git a/autogpt/memory/milvus.py b/autogpt/memory/providers/milvus.py similarity index 98% rename from autogpt/memory/milvus.py rename to autogpt/memory/providers/milvus.py index 40694df558b..b22733ff6b2 100644 --- a/autogpt/memory/milvus.py +++ b/autogpt/memory/providers/milvus.py @@ -5,7 +5,8 @@ from autogpt.config import Config from autogpt.llm import get_ada_embedding -from autogpt.memory.base import MemoryProviderSingleton + +from .base import MemoryProviderSingleton class MilvusMemory(MemoryProviderSingleton): diff --git a/autogpt/memory/no_memory.py b/autogpt/memory/providers/no_memory.py similarity index 96% rename from autogpt/memory/no_memory.py rename to autogpt/memory/providers/no_memory.py index 0371e96ae89..92a54a82dd7 100644 --- a/autogpt/memory/no_memory.py +++ b/autogpt/memory/providers/no_memory.py @@ -3,7 +3,7 @@ from typing import Any -from autogpt.memory.base import MemoryProviderSingleton +from .base import MemoryProviderSingleton class NoMemory(MemoryProviderSingleton): diff --git a/autogpt/memory/pinecone.py b/autogpt/memory/providers/pinecone.py similarity index 98% rename from autogpt/memory/pinecone.py rename to autogpt/memory/providers/pinecone.py index 7c027956468..1567532b5c3 100644 --- a/autogpt/memory/pinecone.py +++ b/autogpt/memory/providers/pinecone.py @@ -3,7 +3,8 @@ from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from autogpt.memory.base import MemoryProviderSingleton + +from .base import MemoryProviderSingleton class PineconeMemory(MemoryProviderSingleton): diff --git a/autogpt/memory/redismem.py b/autogpt/memory/providers/redis.py similarity index 59% rename from autogpt/memory/redismem.py rename to autogpt/memory/providers/redis.py index 2a072a557d0..d2020d36ac6 100644 --- a/autogpt/memory/redismem.py +++ b/autogpt/memory/providers/redis.py @@ -6,26 +6,40 @@ import numpy as np import redis from colorama import Fore, Style -from redis.commands.search.field import TextField, VectorField +from redis.commands.json.commands import JSONCommands +from redis.commands.search.field import Field, TextField, VectorField from redis.commands.search.indexDefinition import IndexDefinition, IndexType from redis.commands.search.query import Query +from autogpt.config import Config from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from autogpt.memory.base import MemoryProviderSingleton -SCHEMA = [ - TextField("data"), - VectorField( - "embedding", - "HNSW", - {"TYPE": "FLOAT32", "DIM": 1536, "DISTANCE_METRIC": "COSINE"}, - ), -] +from ..memory_item import MemoryItem +from ..utils import Embedding, get_embedding +from .base import MemoryProviderSingleton class RedisMemory(MemoryProviderSingleton): - def __init__(self, cfg): + cfg: Config + + redis: redis.Redis + dimension: int + index_name: str + + n_memories: int + """Number of items currently in memory""" + + SCHEMA = [ + TextField("raw_content"), + VectorField( + "embedding", + "HNSW", + {"TYPE": "FLOAT32", "DIM": 1536, "DISTANCE_METRIC": "IP"}, + ), + ] + + def __init__(self, cfg: Config): """ Initializes the Redis memory provider. @@ -34,17 +48,19 @@ def __init__(self, cfg): Returns: None """ + self.cfg = cfg + redis_host = cfg.redis_host redis_port = cfg.redis_port redis_password = cfg.redis_password - self.dimension = 1536 self.redis = redis.Redis( host=redis_host, port=redis_port, password=redis_password, db=0, # Cannot be changed ) - self.cfg = cfg + self.dimension = 1536 + self.index_name = cfg.memory_index # Check redis connection try: @@ -64,20 +80,25 @@ def __init__(self, cfg): exit(1) if cfg.wipe_redis_on_start: - self.redis.flushall() + self.clear() try: - self.redis.ft(f"{cfg.memory_index}").create_index( - fields=SCHEMA, + self.redis.ft(f"{self.index_name}").create_index( + fields=self.SCHEMA, definition=IndexDefinition( - prefix=[f"{cfg.memory_index}:"], index_type=IndexType.HASH + prefix=[f"{self.index_name}:"], index_type=IndexType.HASH ), ) except Exception as e: logger.warn("Error creating Redis search index: ", e) - existing_vec_num = self.redis.get(f"{cfg.memory_index}-vec_num") - self.vec_num = int(existing_vec_num.decode("utf-8")) if existing_vec_num else 0 - def add(self, data: str) -> str: + n_existing_memories: bytes | None = self.redis.get( + f"{self.index_name}-n_memories" + ) + self.n_memories = ( + int(n_existing_memories.decode("utf-8")) if n_existing_memories else 0 + ) + + def add(self, document: str) -> MemoryItem | None: """ Adds a data point to the memory. @@ -86,20 +107,23 @@ def add(self, data: str) -> str: Returns: Message indicating that the data has been added. """ - if "Command Error:" in data: - return "" - vector = get_ada_embedding(data) - vector = np.array(vector).astype(np.float32).tobytes() - data_dict = {b"data": data, "embedding": vector} + if "Command Error:" in document: + return None + + memory = MemoryItem.from_text(document) + + data_dict = {"raw_content": document, "embedding": memory.e_summary.tobytes()} + pipe = self.redis.pipeline() - pipe.hset(f"{self.cfg.memory_index}:{self.vec_num}", mapping=data_dict) - _text = ( - f"Inserting data into memory at index: {self.vec_num}:\n" f"data: {data}" + pipe.hset(f"{self.index_name}:{self.n_memories}", mapping=data_dict) + logger.debug( + f"Inserting data into memory at index: {self.n_memories}:\n" + f"data: {document}" ) - self.vec_num += 1 - pipe.set(f"{self.cfg.memory_index}-vec_num", self.vec_num) + self.n_memories += 1 + pipe.set(f"{self.index_name}-n_memories", self.n_memories) pipe.execute() - return _text + return memory def get(self, data: str) -> list[Any] | None: """ @@ -112,16 +136,7 @@ def get(self, data: str) -> list[Any] | None: """ return self.get_relevant(data, 1) - def clear(self) -> str: - """ - Clears the redis server. - - Returns: A message indicating that the memory has been cleared. - """ - self.redis.flushall() - return "Obliviated" - - def get_relevant(self, data: str, num_relevant: int = 5) -> list[Any] | None: + def get_relevant(self, query: str, num_relevant: int = 5) -> list[Any] | None: """ Returns all the data in the memory that is relevant to the given data. Args: @@ -130,18 +145,18 @@ def get_relevant(self, data: str, num_relevant: int = 5) -> list[Any] | None: Returns: A list of the most relevant data. """ - query_embedding = get_ada_embedding(data) + query_embedding = get_embedding(query) base_query = f"*=>[KNN {num_relevant} @embedding $vector AS vector_score]" query = ( Query(base_query) - .return_fields("data", "vector_score") + .return_fields("raw_content", "vector_score") .sort_by("vector_score") .dialect(2) ) - query_vector = np.array(query_embedding).astype(np.float32).tobytes() + query_vector = query_embedding.tobytes() try: - results = self.redis.ft(f"{self.cfg.memory_index}").search( + results = self.redis.ft(f"{self.index_name}").search( query, query_params={"vector": query_vector} ) except Exception as e: @@ -153,4 +168,8 @@ def get_stats(self): """ Returns: The stats of the memory index. """ - return self.redis.ft(f"{self.cfg.memory_index}").info() + return self.redis.ft(f"{self.index_name}").info() + + def clear(self) -> None: + """Clears the Redis database.""" + self.redis.flushall() diff --git a/autogpt/memory/weaviate.py b/autogpt/memory/providers/weaviate.py similarity index 98% rename from autogpt/memory/weaviate.py rename to autogpt/memory/providers/weaviate.py index 0b4f58b55a0..00a002cd045 100644 --- a/autogpt/memory/weaviate.py +++ b/autogpt/memory/providers/weaviate.py @@ -5,7 +5,8 @@ from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from autogpt.memory.base import MemoryProviderSingleton + +from .base import MemoryProviderSingleton def default_schema(weaviate_index): diff --git a/autogpt/memory/utils.py b/autogpt/memory/utils.py new file mode 100644 index 00000000000..6e5a32801ea --- /dev/null +++ b/autogpt/memory/utils.py @@ -0,0 +1,51 @@ +import numpy as np +import openai + +from autogpt.config import Config +from autogpt.llm.llm_utils import metered, retry_openai_api + +Embedding = np.ndarray[np.float32] +"""Embedding vector""" +TText = list[int] +"""Token array representing text""" + + +@metered +@retry_openai_api() +def get_embedding( + input: str | TText | list[str | TText], +) -> Embedding | list[Embedding]: + """Get an embedding from the ada model. + + Args: + input: Input text to get embeddings for, encoded as a string or array of tokens. + Multiple inputs may be given as a list of strings or token arrays. + + Returns: + List[float]: The embedding. + """ + cfg = Config() + multiple = isinstance(input, list) and not isinstance(input[0], int) + + if isinstance(input, str): + input = input.replace("\n", " ") + elif multiple and isinstance(input[0], str): + input = [text.replace("\n", " ") for text in input] + + model = cfg.embedding_model + if cfg.use_azure: + kwargs = {"engine": cfg.get_azure_deployment_id_for_model(model)} + else: + kwargs = {"model": model} + + embeddings = openai.Embedding.create( + input=input, + api_key=cfg.openai_api_key, + **kwargs, + ).data + + if not multiple: + return embeddings[0]["embedding"] + + embeddings = sorted(embeddings, key=lambda x: x["index"]) + return [d["embedding"] for d in embeddings] diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index 9391e0a0c28..4e1f5fc1a99 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -1,20 +1,118 @@ """Text processing functions""" +from math import ceil from typing import Dict, Generator, Optional import spacy +import tiktoken from selenium.webdriver.remote.webdriver import WebDriver from autogpt.config import Config from autogpt.llm import count_message_tokens, create_chat_completion +from autogpt.llm.llm_utils import create_text_completion +from autogpt.llm.providers.openai import OPEN_AI_MODELS +from autogpt.llm.token_counter import count_string_tokens from autogpt.logs import logger from autogpt.memory import get_memory +from autogpt.utils import batch CFG = Config() +def _max_chunk_length(model: str, max: int = None): + model_max_input_tokens = OPEN_AI_MODELS[model].max_tokens - 1 + if max is not None and max > 0: + return min(max, model_max_input_tokens) + return model_max_input_tokens + + +def must_chunk_text(text: str, for_model: str, max_chunk_length: int = None): + return count_string_tokens(text) > _max_chunk_length(for_model, max_chunk_length) + + +def chunk_text( + text: str, for_model: str, max_chunk_length: int = None, with_overlap=True +): + if not must_chunk_text(text, for_model, max_chunk_length): + yield text, count_string_tokens(text, for_model) + return + + tokenizer = tiktoken.encoding_for_model(for_model) + + tokenized_text = tokenizer.encode(text) + total_length = len(tokenized_text) + n_chunks = ceil(total_length / max_chunk_length) + + chunk_length = ceil(total_length / n_chunks) + if with_overlap: + overlap = min(max_chunk_length - chunk_length, max_chunk_length / 4) + else: + overlap = 0 + + for token_batch in batch(tokenized_text, chunk_length + overlap, overlap): + yield tokenizer.decode(token_batch), len(token_batch) + + +def summarize_text(text: str, question: Optional[str]) -> str: + """Summarize text using the OpenAI API + + Args: + text (str): The text to summarize + question (str): A question to focus the summary content + + Returns: + str: The summary of the text + """ + if not text: + return "Error: No text to summarize" + + model = CFG.fast_llm_model + + summarization_prompt_template = ( + ( + "Describe and summarize the following document, focusing on information" + f'related to the question "{question}".' + "Do not answer the question itself.\n" + '\nDocument: """{content}"""\n' + "\nSummary/description:" + ) + if question is not None + else ( + "Describe and summarize the following document, " + "covering all major topics present in the source text.\n" + '\nDocument: """{content}"""\n' + "\nSummary/description:" + ) + ) + + token_length = count_string_tokens(text, model) + logger.info(f"Text length: {token_length} tokens") + + if not must_chunk_text( + text, model, _max_chunk_length(model) - 550 + ): # reserve 50 tokens for summary prompt, 500 for the response + prompt = summarization_prompt_template.format(content=text) + logger.debug(f"Summarizing with {model}:\n{'-'*32}\n{prompt}\n{'-'*32}\n") + return create_text_completion( + prompt, model, temperature=0, max_output_tokens=500 + ) + + summaries: list[str] = [] + chunks = chunk_text(text, for_model=model) + + for i, (chunk, chunk_length) in enumerate(chunks): + logger.info( + f"Summarizing chunk {i + 1} / {len(chunks)} of length {chunk_length} tokens" + ) + summary = summarize_text(chunk, question) + summaries.append(summary) + + logger.info(f"Summarized {len(chunks)} chunks") + + return summarize_text("\n\n".join(summaries)) + + def split_text( text: str, - max_length: int = CFG.browse_chunk_max_length, model: str = CFG.fast_llm_model, question: str = "", ) -> Generator[str, None, None]: @@ -30,6 +128,8 @@ def split_text( Raises: ValueError: If the text is longer than the maximum length """ + max_length = round(_max_chunk_length(CFG.embedding_model) * 0.75) + flatened_paragraphs = " ".join(text.split("\n")) nlp = spacy.load(CFG.browse_spacy_language_model) nlp.add_pipe("sentencizer") @@ -68,7 +168,7 @@ def split_text( yield " ".join(current_chunk) -def summarize_text( +def summarize_memorize_webpage( url: str, text: str, question: str, driver: Optional[WebDriver] = None ) -> str: """Summarize text using the OpenAI API @@ -91,9 +191,7 @@ def summarize_text( summaries = [] chunks = list( - split_text( - text, max_length=CFG.browse_chunk_max_length, model=model, question=question - ), + split_text(text, model=model, question=question), ) scroll_ratio = 1 / len(chunks) diff --git a/autogpt/utils.py b/autogpt/utils.py index 6a3ef0ae78a..412263ed2fc 100644 --- a/autogpt/utils.py +++ b/autogpt/utils.py @@ -17,6 +17,15 @@ from autogpt.config import Config +def batch(iterable, max_batch_length: int, overlap: int = 0): + """Batch data from iterable into slices of length N. The last batch may be shorter.""" + # batched('ABCDEFG', 3) --> ABC DEF G + if max_batch_length < 1: + raise ValueError("n must be at least one") + for i in range(0, len(iterable), max_batch_length - overlap): + yield iterable[i : i + max_batch_length] + + def clean_input(prompt: str = "", talk=False): try: cfg = Config() diff --git a/tests/integration/agent_factory.py b/tests/integration/agent_factory.py index 31dcae0b924..ccaba4b7c19 100644 --- a/tests/integration/agent_factory.py +++ b/tests/integration/agent_factory.py @@ -3,7 +3,7 @@ from autogpt.agent import Agent from autogpt.commands.command import CommandRegistry from autogpt.config import AIConfig, Config -from autogpt.memory import LocalCache, NoMemory, get_memory +from autogpt.memory import JSONFileMemory, NoMemory, get_memory from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT from autogpt.workspace import Workspace diff --git a/tests/integration/memory_tests.py b/tests/integration/memory_tests.py deleted file mode 100644 index 66c2331441b..00000000000 --- a/tests/integration/memory_tests.py +++ /dev/null @@ -1,50 +0,0 @@ -import random -import string -import sys -import unittest -from pathlib import Path - -from autogpt.config import Config -from autogpt.memory.local import LocalCache - - -class TestLocalCache(unittest.TestCase): - def generate_random_string(self, length): - return "".join(random.choice(string.ascii_letters) for _ in range(length)) - - def setUp(self): - """Set up the test environment for the LocalCache tests.""" - cfg = cfg = Config() - self.cache = LocalCache(cfg) - self.cache.clear() - - # Add example texts to the cache - self.example_texts = [ - "The quick brown fox jumps over the lazy dog", - "I love machine learning and natural language processing", - "The cake is a lie, but the pie is always true", - "ChatGPT is an advanced AI model for conversation", - ] - for text in self.example_texts: - self.cache.add(text) - - # Add some random strings to test noise - for _ in range(5): - self.cache.add(self.generate_random_string(10)) - - def test_get_relevant(self): - """Test getting relevant texts from the cache.""" - query = "I'm interested in artificial intelligence and NLP" - k = 3 - relevant_texts = self.cache.get_relevant(query, k) - - print(f"Top {k} relevant texts for the query '{query}':") - for i, text in enumerate(relevant_texts, start=1): - print(f"{i}. {text}") - - self.assertEqual(len(relevant_texts), k) - self.assertIn(self.example_texts[1], relevant_texts) - - -if __name__ == "__main__": - unittest.main() diff --git a/tests/integration/milvus_memory_tests.py b/tests/integration/milvus_memory_tests.py index c4b97d34d63..99dcb30e0a2 100644 --- a/tests/integration/milvus_memory_tests.py +++ b/tests/integration/milvus_memory_tests.py @@ -5,7 +5,7 @@ import unittest from autogpt.config import Config -from autogpt.memory.milvus import MilvusMemory +from autogpt.memory.providers import MilvusMemory try: diff --git a/tests/integration/test_json_file_memory.py b/tests/integration/test_json_file_memory.py new file mode 100644 index 00000000000..3843d29b371 --- /dev/null +++ b/tests/integration/test_json_file_memory.py @@ -0,0 +1,102 @@ +# sourcery skip: snake-case-functions +"""Tests for LocalCache class""" +import orjson +import pytest +from pytest_mock import MockerFixture + +from autogpt.config import Config +from autogpt.memory.providers import JSONFileMemory +from autogpt.workspace import Workspace +from tests.utils import requires_api_key + +EMBED_DIM = 1536 + + +@pytest.fixture +def mock_get_embedding(mocker: MockerFixture): + mocker.patch.object( + JSONFileMemory, + "get_embedding", + return_value=[0.1] * EMBED_DIM, + ) + + +def test_init_without_backing_file(config: Config, workspace: Workspace): + index_file = workspace.root / f"{config.memory_index}.json" + + assert not index_file.exists() + JSONFileMemory(config) + assert index_file.exists() + assert index_file.read_text() == "[]" + + +def test_init_with_backing_empty_file(config: Config, workspace: Workspace): + index_file = workspace.root / f"{config.memory_index}.json" + index_file.touch() + + assert index_file.exists() + JSONFileMemory(config) + assert index_file.exists() + assert index_file.read_text() == "[]" + + +def test_init_with_backing_file(config: Config, workspace: Workspace): + index_file = workspace.root / f"{config.memory_index}.json" + index_file.touch() + + raw_data = {"texts": ["test"]} + data = orjson.dumps(raw_data, option=JSONFileMemory.SAVE_OPTIONS) + with index_file.open("wb") as f: + f.write(data) + + assert index_file.exists() + JSONFileMemory(config) + assert index_file.exists() + assert index_file.read_text() == "[]" + + +def test_add(config: Config, mock_get_embedding): + index = JSONFileMemory(config) + index.add("test") + assert index.memories[0].raw_content == "test" + assert len(index.memories[0].e_chunks) == 1 + + +def test_clear(config: Config, mock_get_embedding): + index = JSONFileMemory(config) + assert index.memories == [] + + index.add("test") + assert index.memories[0].raw_content == "test" + + index.clear() + assert index.memories == [] + + +def test_get(config: Config, mock_get_embedding): + index = JSONFileMemory(config) + assert index.get("test") == [] + + index.add("test") + assert index.get("test").raw_content == "test" + + +@pytest.mark.vcr +@requires_api_key("OPENAI_API_KEY") +def test_get_relevant(config) -> None: + index = JSONFileMemory(config) + text1 = "Sample text 1" + text2 = "Sample text 2" + index.add(text1) + index.add(text2) + + result = index.get_relevant(text1, 1) + assert result[0].raw_content == text1 + + +def test_get_stats(config: Config, mock_get_embedding) -> None: + index = JSONFileMemory(config) + text = "Sample text" + index.add(text) + stats = index.get_stats() + assert stats == (1, 1) diff --git a/tests/integration/test_local_cache.py b/tests/integration/test_local_cache.py deleted file mode 100644 index 5200e026e70..00000000000 --- a/tests/integration/test_local_cache.py +++ /dev/null @@ -1,110 +0,0 @@ -# sourcery skip: snake-case-functions -"""Tests for LocalCache class""" -import unittest - -import orjson -import pytest - -from autogpt.memory.local import EMBED_DIM, SAVE_OPTIONS -from autogpt.memory.local import LocalCache as LocalCache_ -from tests.utils import requires_api_key - - -@pytest.fixture -def LocalCache(): - # Hack, real gross. Singletons are not good times. - if LocalCache_ in LocalCache_._instances: - del LocalCache_._instances[LocalCache_] - return LocalCache_ - - -@pytest.fixture -def mock_embed_with_ada(mocker): - mocker.patch( - "autogpt.memory.local.get_ada_embedding", - return_value=[0.1] * EMBED_DIM, - ) - - -def test_init_without_backing_file(LocalCache, config, workspace): - cache_file = workspace.root / f"{config.memory_index}.json" - - assert not cache_file.exists() - LocalCache(config) - assert cache_file.exists() - assert cache_file.read_text() == "{}" - - -def test_init_with_backing_empty_file(LocalCache, config, workspace): - cache_file = workspace.root / f"{config.memory_index}.json" - cache_file.touch() - - assert cache_file.exists() - LocalCache(config) - assert cache_file.exists() - assert cache_file.read_text() == "{}" - - -def test_init_with_backing_file(LocalCache, config, workspace): - cache_file = workspace.root / f"{config.memory_index}.json" - cache_file.touch() - - raw_data = {"texts": ["test"]} - data = orjson.dumps(raw_data, option=SAVE_OPTIONS) - with cache_file.open("wb") as f: - f.write(data) - - assert cache_file.exists() - LocalCache(config) - assert cache_file.exists() - assert cache_file.read_text() == "{}" - - -def test_add(LocalCache, config, mock_embed_with_ada): - cache = LocalCache(config) - cache.add("test") - assert cache.data.texts == ["test"] - assert cache.data.embeddings.shape == (1, EMBED_DIM) - - -def test_clear(LocalCache, config, mock_embed_with_ada): - cache = LocalCache(config) - assert cache.data.texts == [] - assert cache.data.embeddings.shape == (0, EMBED_DIM) - - cache.add("test") - assert cache.data.texts == ["test"] - assert cache.data.embeddings.shape == (1, EMBED_DIM) - - cache.clear() - assert cache.data.texts == [] - assert cache.data.embeddings.shape == (0, EMBED_DIM) - - -def test_get(LocalCache, config, mock_embed_with_ada): - cache = LocalCache(config) - assert cache.get("test") == [] - - cache.add("test") - assert cache.get("test") == ["test"] - - -@pytest.mark.vcr -@requires_api_key("OPENAI_API_KEY") -def test_get_relevant(LocalCache, config) -> None: - cache = LocalCache(config) - text1 = "Sample text 1" - text2 = "Sample text 2" - cache.add(text1) - cache.add(text2) - - result = cache.get_relevant(text1, 1) - assert result == [text1] - - -def test_get_stats(LocalCache, config, mock_embed_with_ada) -> None: - cache = LocalCache(config) - text = "Sample text" - cache.add(text) - stats = cache.get_stats() - assert stats == (1, cache.data.embeddings.shape) diff --git a/tests/integration/weaviate_memory_tests.py b/tests/integration/weaviate_memory_tests.py index 2cea871c618..8eb4b59c115 100644 --- a/tests/integration/weaviate_memory_tests.py +++ b/tests/integration/weaviate_memory_tests.py @@ -6,7 +6,7 @@ from autogpt.config import Config from autogpt.llm import get_ada_embedding -from autogpt.memory.weaviate import WeaviateMemory +from autogpt.memory.providers import WeaviateMemory class TestWeaviateMemory(unittest.TestCase): diff --git a/tests/milvus_memory_test.py b/tests/milvus_memory_test.py index 46010f7ea18..85bf424383e 100644 --- a/tests/milvus_memory_test.py +++ b/tests/milvus_memory_test.py @@ -5,7 +5,7 @@ import unittest try: - from autogpt.memory.milvus import MilvusMemory + from autogpt.memory.providers import MilvusMemory def mock_config() -> dict: """Mock the config object for testing purposes.""" From 9130462a50e45b9f30c0c2071086698c4e7f54aa Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 5 May 2023 23:05:04 +0200 Subject: [PATCH 03/54] fix metering decorator --- autogpt/llm/api_manager.py | 4 +++- autogpt/llm/llm_utils.py | 33 ++++++++++++++++++++++++--------- 2 files changed, 27 insertions(+), 10 deletions(-) diff --git a/autogpt/llm/api_manager.py b/autogpt/llm/api_manager.py index 9143389e887..f9b685963ca 100644 --- a/autogpt/llm/api_manager.py +++ b/autogpt/llm/api_manager.py @@ -65,7 +65,7 @@ def create_chat_completion( self.update_cost(prompt_tokens, completion_tokens, model) return response - def update_cost(self, prompt_tokens, completion_tokens, model): + def update_cost(self, prompt_tokens, completion_tokens, model: str): """ Update the total cost, prompt tokens, and completion tokens. @@ -74,6 +74,8 @@ def update_cost(self, prompt_tokens, completion_tokens, model): completion_tokens (int): The number of tokens used in the completion. model (str): The model used for the API call. """ + model = model[:-3] if model.endswith("-v2") else model + self.total_prompt_tokens += prompt_tokens self.total_completion_tokens += completion_tokens self.total_cost += ( diff --git a/autogpt/llm/llm_utils.py b/autogpt/llm/llm_utils.py index cb3a47f2d21..9d33eeee2ae 100644 --- a/autogpt/llm/llm_utils.py +++ b/autogpt/llm/llm_utils.py @@ -8,10 +8,12 @@ import numpy as np import openai +import openai.api_resources.abstract.engine_api_resource as engine_api_resource +import openai.util import tiktoken from colorama import Fore, Style -from openai.api_resources.abstract.engine_api_resource import EngineAPIResource from openai.error import APIError, RateLimitError +from openai.openai_object import OpenAIObject from autogpt.config import Config from autogpt.llm.api_manager import ApiManager @@ -24,21 +26,32 @@ def metered(func): """Adds ApiManager metering to functions which make OpenAI API calls""" api_manager = ApiManager() - def metered_create(*args, **kwargs): - response = EngineAPIResource.create(*args, **kwargs) + openai_obj_processor = openai.util.convert_to_openai_object + + def update_usage_with_response(response: OpenAIObject): try: + usage = response.usage + logger.debug(f"Reported usage from call to model {response.model}: {usage}") api_manager.update_cost( response.usage.prompt_tokens, - response.usage.completion_tokens, + response.usage.completion_tokens if "completion_tokens" in usage else 0, response.model, ) except Exception as err: - logger.warn("Failed to update API costs:" + err) - return response + logger.warn(f"Failed to update API costs: {err.__class__.__name__}: {err}") + + def metering_wrapper(*args, **kwargs): + openai_obj = openai_obj_processor(*args, **kwargs) + if isinstance(openai_obj, OpenAIObject) and "usage" in openai_obj: + update_usage_with_response(openai_obj) + return openai_obj - @functools.wraps(func) def metered_func(*args, **kwargs): - with patch.object(EngineAPIResource, "create", metered_create): + with patch.object( + engine_api_resource.util, + "convert_to_openai_object", + side_effect=metering_wrapper, + ): func(*args, **kwargs) return metered_func @@ -133,13 +146,14 @@ def call_ai_function( return create_chat_completion(model=model, messages=messages, temperature=0) +@metered @retry_openai_api() def create_text_completion( prompt: str, model: Optional[str], temperature: Optional[float], max_output_tokens: Optional[int], -): +) -> str: cfg = Config() if model is None: model = cfg.fast_llm_model @@ -163,6 +177,7 @@ def create_text_completion( # Overly simple abstraction until we create something better # simple retry mechanism when getting a rate error or a bad gateway +@metered @retry_openai_api() def create_chat_completion( messages: List[Message], # type: ignore From b0a5d748cc296a0865de5d5581316180993df10c Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Sat, 6 May 2023 02:57:28 +0200 Subject: [PATCH 04/54] Fix a lot of the breakage --- autogpt/app.py | 2 +- autogpt/commands/web_selenium.py | 42 +++- autogpt/llm/base.py | 7 + autogpt/llm/llm_utils.py | 2 +- autogpt/llm/modelsinfo.py | 1 + autogpt/llm/providers/openai.py | 14 +- autogpt/memory/memory_item.py | 42 +++- autogpt/memory/providers/__init__.py | 19 +- autogpt/memory/providers/base.py | 4 +- autogpt/memory/providers/json_file.py | 36 ++- autogpt/memory/providers/no_memory.py | 5 +- autogpt/memory/utils.py | 17 +- autogpt/processing/text.py | 258 ++++++++------------- tests/integration/test_json_file_memory.py | 97 +++++--- tests/unit/test_llm_utils.py | 2 +- 15 files changed, 305 insertions(+), 243 deletions(-) diff --git a/autogpt/app.py b/autogpt/app.py index 947b2afec8b..1c5040d92d4 100644 --- a/autogpt/app.py +++ b/autogpt/app.py @@ -151,7 +151,7 @@ def get_text_summary(url: str, question: str) -> str: str: The summary of the text """ text = scrape_text(url) - summary = summarize_text(text, question) + summary, _ = summarize_text(text, question) return f""" "Result" : {summary}""" diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index cbf068ce353..7b43da80c66 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -4,6 +4,7 @@ import logging from pathlib import Path from sys import platform +from typing import Optional from bs4 import BeautifulSoup from selenium import webdriver @@ -18,10 +19,12 @@ from webdriver_manager.chrome import ChromeDriverManager from webdriver_manager.firefox import GeckoDriverManager -import autogpt.processing.text as summary from autogpt.commands.command import command from autogpt.config import Config +from autogpt.logs import logger +from autogpt.memory import MemoryItem, NoMemory, get_memory from autogpt.processing.html import extract_hyperlinks, format_hyperlinks +from autogpt.processing.text import summarize_text from autogpt.url_utils.validators import validate_url FILE_DIR = Path(__file__).parent.parent @@ -34,7 +37,7 @@ '"url": "", "question": ""', ) @validate_url -def browse_website(url: str, question: str) -> tuple[str, WebDriver]: +def browse_website(url: str, question: str) -> tuple[str, WebDriver | None]: """Browse a website and return the answer and links to the user Args: @@ -53,14 +56,14 @@ def browse_website(url: str, question: str) -> tuple[str, WebDriver]: return f"Error: {msg}", None add_header(driver) - summary_text = summary.summarize_memorize_webpage(url, text, question, driver) + summary = summarize_memorize_webpage(url, text, question, driver) links = scrape_links_with_selenium(driver, url) # Limit links to 5 if len(links) > 5: links = links[:5] close_browser(driver) - return f"Answer gathered from website: {summary_text} \n \n Links: {links}", driver + return f"Answer gathered from website: {summary}\n\nLinks: {links}", driver def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]: @@ -181,3 +184,34 @@ def add_header(driver: WebDriver) -> None: driver.execute_script(overlay_script) except Exception as e: print(f"Error executing overlay.js: {e}") + + +def summarize_memorize_webpage( + url: str, text: str, question: str, driver: Optional[WebDriver] = None +) -> str: + """Summarize text using the OpenAI API + + Args: + url (str): The url of the text + text (str): The text to summarize + question (str): The question to ask the model + driver (WebDriver): The webdriver to use to scroll the page + + Returns: + str: The summary of the text + """ + if not text: + return "Error: No text to summarize" + + text_length = len(text) + logger.info(f"Text length: {text_length} characters") + + memory = get_memory(CFG) + + if isinstance(memory, NoMemory): + summary, chunks = summarize_text(text, question) + return summary + + new_memory = MemoryItem.from_webpage(text, url) + memory.add(new_memory) + return new_memory.summary diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index 722e0f0f1ed..88041e71e88 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -31,6 +31,13 @@ class ChatModelInfo(ModelInfo): pass +@dataclass +class TextModelInfo(ModelInfo): + """Struct for text completion model information.""" + + pass + + @dataclass class EmbeddingModelInfo(ModelInfo): """Struct for embedding model information.""" diff --git a/autogpt/llm/llm_utils.py b/autogpt/llm/llm_utils.py index 9d33eeee2ae..82eca5c6d03 100644 --- a/autogpt/llm/llm_utils.py +++ b/autogpt/llm/llm_utils.py @@ -52,7 +52,7 @@ def metered_func(*args, **kwargs): "convert_to_openai_object", side_effect=metering_wrapper, ): - func(*args, **kwargs) + return func(*args, **kwargs) return metered_func diff --git a/autogpt/llm/modelsinfo.py b/autogpt/llm/modelsinfo.py index 1bebcbf93f0..425472dec48 100644 --- a/autogpt/llm/modelsinfo.py +++ b/autogpt/llm/modelsinfo.py @@ -7,4 +7,5 @@ "gpt-4-32k": {"prompt": 0.06, "completion": 0.12}, "gpt-4-32k-0314": {"prompt": 0.06, "completion": 0.12}, "text-embedding-ada-002": {"prompt": 0.0004, "completion": 0.0}, + "text-davinci-003": {"prompt": 0.02, "completion": 0.02}, } diff --git a/autogpt/llm/providers/openai.py b/autogpt/llm/providers/openai.py index 0c3cfaead5c..fd4980cba0b 100644 --- a/autogpt/llm/providers/openai.py +++ b/autogpt/llm/providers/openai.py @@ -1,4 +1,4 @@ -from autogpt.llm.base import ChatModelInfo, EmbeddingModelInfo +from autogpt.llm.base import ChatModelInfo, EmbeddingModelInfo, TextModelInfo OPEN_AI_CHAT_MODELS = { "gpt-3.5-turbo": ChatModelInfo( @@ -21,6 +21,15 @@ ), } +OPEN_AI_TEXT_MODELS = { + "text-davinci-003": TextModelInfo( + name="text-davinci-003", + prompt_token_cost=0.02, + completion_token_cost=0.02, + max_tokens=4097, + ), +} + OPEN_AI_EMBEDDING_MODELS = { "text-embedding-ada-002": EmbeddingModelInfo( name="text-embedding-ada-002", @@ -31,7 +40,8 @@ ), } -OPEN_AI_MODELS: dict[str, ChatModelInfo | EmbeddingModelInfo] = { +OPEN_AI_MODELS: dict[str, ChatModelInfo | EmbeddingModelInfo | TextModelInfo] = { **OPEN_AI_CHAT_MODELS, + **OPEN_AI_TEXT_MODELS, **OPEN_AI_EMBEDDING_MODELS, } diff --git a/autogpt/memory/memory_item.py b/autogpt/memory/memory_item.py index cf7a593453e..9a876d88c03 100644 --- a/autogpt/memory/memory_item.py +++ b/autogpt/memory/memory_item.py @@ -1,40 +1,54 @@ import dataclasses +from typing import Literal import numpy as np from autogpt.config import Config from autogpt.logs import logger -from autogpt.processing.text import chunk_text, summarize_text +from autogpt.processing.text import chunk_content, split_text, summarize_text from .utils import Embedding, get_embedding +MemoryDocType = Literal["webpage", "text_file", "code_file"] + @dataclasses.dataclass class MemoryItem: """Memory object containing raw content as well as embeddings""" raw_content: str + summary: str e_summary: Embedding e_chunks: list[Embedding] metadata: dict - def from_text(text: str, metadata: dict = {}): + @staticmethod + def from_text(text: str, source_type: MemoryDocType, metadata: dict = {}): cfg = Config() logger.debug(f"Memorizing text:\n{'-'*32}\n{text}\n{'-'*32}\n") - chunks = chunk_text(text, cfg.embedding_model) + chunks = [ + chunk + for chunk, _ in ( + split_text(text, cfg.embedding_model) + if source_type != "code_file" + else chunk_content(text, cfg.embedding_model) + ) + ] logger.debug("Chunks: " + str(chunks)) - chunk_summaries = [summarize_text(text_chunk) for text_chunk in chunks] + chunk_summaries = [ + summary + for summary, _ in [summarize_text(text_chunk) for text_chunk in chunks] + ] logger.debug("Chunk summaries: " + str(chunk_summaries)) e_chunks = get_embedding(chunks) - logger.debug("Chunk embeddings: " + str(e_chunks)) summary = ( chunk_summaries[0] if len(chunks) == 1 - else summarize_text("\n\n".join(chunk_summaries)) + else summarize_text("\n\n".join(chunk_summaries))[0] ) logger.debug("Total summary: " + summary) @@ -42,9 +56,25 @@ def from_text(text: str, metadata: dict = {}): # e_average = np.average(e_chunks, axis=0, weights=[len(c) for c in chunks]) e_summary = get_embedding(summary) + metadata["source_type"] = source_type + return MemoryItem( text, + summary, e_summary, e_chunks, metadata=metadata, ) + + @staticmethod + def from_text_file(content: str, path: str): + return MemoryItem.from_text(content, "text_file", {"location": path}) + + @staticmethod + def from_code_file(content: str, path: str): + # TODO: implement tailored code memories + return MemoryItem.from_text(content, "code_file", {"location": path}) + + @staticmethod + def from_webpage(content: str, url: str): + return MemoryItem.from_text(content, "webpage", {"location": url}) diff --git a/autogpt/memory/providers/__init__.py b/autogpt/memory/providers/__init__.py index 6fbf9966b03..ea3ab566066 100644 --- a/autogpt/memory/providers/__init__.py +++ b/autogpt/memory/providers/__init__.py @@ -1,15 +1,26 @@ from .json_file import JSONFileMemory -from .milvus import MilvusMemory from .no_memory import NoMemory from .pinecone import PineconeMemory from .redis import RedisMemory -from .weaviate import WeaviateMemory __all__ = [ "JSONFileMemory", - "MilvusMemory", "NoMemory", "PineconeMemory", "RedisMemory", - "WeaviateMemory", ] + +# add backends requiring libraries that are not installed by default +try: + from .milvus import MilvusMemory + + __all__.append("MilvusMemory") +except ImportError: + pass + +try: + from .weaviate import WeaviateMemory + + __all__.append("WeaviateMemory") +except ImportError: + pass diff --git a/autogpt/memory/providers/base.py b/autogpt/memory/providers/base.py index 534ce4da708..fd80775614d 100644 --- a/autogpt/memory/providers/base.py +++ b/autogpt/memory/providers/base.py @@ -8,8 +8,8 @@ class MemoryProviderSingleton(AbstractSingleton): @abc.abstractmethod - def add(self, document: str): - """Adds to memory""" + def add(self, item: MemoryItem): + """Adds a MemoryItem to the memory index""" pass @abc.abstractmethod diff --git a/autogpt/memory/providers/json_file.py b/autogpt/memory/providers/json_file.py index 2aeedb6ed31..98a01975514 100644 --- a/autogpt/memory/providers/json_file.py +++ b/autogpt/memory/providers/json_file.py @@ -7,6 +7,7 @@ import orjson from autogpt.config import Config +from autogpt.logs import logger from ..memory_item import MemoryItem from ..utils import Embedding, get_embedding @@ -33,28 +34,15 @@ def __init__(self, cfg: Config) -> None: workspace_path = Path(cfg.workspace_path) self.file_path = workspace_path / f"{cfg.memory_index}.json" self.file_path.touch() + logger.debug(f"Initialized {__name__} with index path {self.file_path}") self.memories = [] self.save_index() - def add(self, document: str): - """ - Add text to our list of texts, add embedding as row to our - embeddings-matrix - - Args: - text: str - - Returns: None - """ - if "Command Error:" in document: - return None - - new_memory = MemoryItem.from_text(document) - - self.memories.append(new_memory) + def add(self, item: MemoryItem): + self.memories.append(item) self.save_index() - return new_memory + return len(self.memories) def get(self, query: str) -> MemoryItem | None: """ @@ -65,7 +53,8 @@ def get(self, query: str) -> MemoryItem | None: Returns: The most relevant Memory """ - return self.get_relevant(query, 1)[0] + result = self.get_relevant(query, 1) + return result[0] if result else None def get_relevant(self, query: str, k: int) -> list[MemoryItem]: """ @@ -78,10 +67,16 @@ def get_relevant(self, query: str, k: int) -> list[MemoryItem]: Returns: list[Memory] containing the top [k] relevant memories """ + if len(self.memories) < 1: + return [] + e_query: Embedding = get_embedding(query) - scores: list[float] = np.dot([m.e_summary for m in self.memories], e_query) + logger.debug(f"Searching for {k} relevant items; {len(self.memories)} in index") + + scores: list[float] = [np.dot(m.e_summary, e_query) for m in self.memories] # scores: list[float] = np.dot([m.e for m in self.memories], e_query) + logger.debug(f"Memory match scores: {scores}") top_k_indices = np.argsort(scores)[-k:][::-1] # take last 5 items and reverse @@ -101,5 +96,6 @@ def clear(self): self.save_index() def save_index(self): + logger.debug(f"Saving memory index to file {self.file_path}") with self.file_path.open("wb") as f: - f.write(orjson.dumps(self.memories, option=self.SAVE_OPTIONS)) + return f.write(orjson.dumps(self.memories, option=self.SAVE_OPTIONS)) diff --git a/autogpt/memory/providers/no_memory.py b/autogpt/memory/providers/no_memory.py index 92a54a82dd7..b201d123135 100644 --- a/autogpt/memory/providers/no_memory.py +++ b/autogpt/memory/providers/no_memory.py @@ -3,6 +3,7 @@ from typing import Any +from .. import MemoryItem from .base import MemoryProviderSingleton @@ -22,7 +23,7 @@ def __init__(self, cfg): """ pass - def add(self, data: str) -> str: + def add(self, item: MemoryItem): """ Adds a data point to the memory. No action is taken in NoMemory. @@ -31,7 +32,7 @@ def add(self, data: str) -> str: Returns: An empty string. """ - return "" + return def get(self, data: str) -> list[Any] | None: """ diff --git a/autogpt/memory/utils.py b/autogpt/memory/utils.py index 6e5a32801ea..03465f94a8a 100644 --- a/autogpt/memory/utils.py +++ b/autogpt/memory/utils.py @@ -1,19 +1,32 @@ +from typing import overload + import numpy as np +import numpy.typing as npt import openai from autogpt.config import Config from autogpt.llm.llm_utils import metered, retry_openai_api -Embedding = np.ndarray[np.float32] +Embedding = list[np.float32] """Embedding vector""" TText = list[int] """Token array representing text""" +@overload +def get_embedding(input: str | TText) -> Embedding: + ... + + +@overload +def get_embedding(input: list[str] | list[TText]) -> list[Embedding]: + ... + + @metered @retry_openai_api() def get_embedding( - input: str | TText | list[str | TText], + input: str | TText | list[str] | list[TText], ) -> Embedding | list[Embedding]: """Get an embedding from the ada model. diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index 4e1f5fc1a99..4f322183a79 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -4,55 +4,64 @@ import spacy import tiktoken -from selenium.webdriver.remote.webdriver import WebDriver from autogpt.config import Config -from autogpt.llm import count_message_tokens, create_chat_completion from autogpt.llm.llm_utils import create_text_completion from autogpt.llm.providers.openai import OPEN_AI_MODELS from autogpt.llm.token_counter import count_string_tokens from autogpt.logs import logger -from autogpt.memory import get_memory from autogpt.utils import batch CFG = Config() -def _max_chunk_length(model: str, max: int = None): +def _max_chunk_length(model: str, max: Optional[int] = None) -> int: model_max_input_tokens = OPEN_AI_MODELS[model].max_tokens - 1 if max is not None and max > 0: return min(max, model_max_input_tokens) return model_max_input_tokens -def must_chunk_text(text: str, for_model: str, max_chunk_length: int = None): - return count_string_tokens(text) > _max_chunk_length(for_model, max_chunk_length) +def must_chunk_content( + text: str, for_model: str, max_chunk_length: Optional[int] = None +) -> bool: + return count_string_tokens(text, for_model) > _max_chunk_length( + for_model, max_chunk_length + ) -def chunk_text( - text: str, for_model: str, max_chunk_length: int = None, with_overlap=True +def chunk_content( + content: str, + for_model: str, + max_chunk_length: Optional[int] = None, + with_overlap=True, ): - if not must_chunk_text(text, for_model, max_chunk_length): - yield text, count_string_tokens(text, for_model) + """Split content into chunks of approximately equal token length.""" + + MAX_OVERLAP = 200 # limit overlap to save tokens + + if not must_chunk_content(content, for_model, max_chunk_length): + yield content, count_string_tokens(content, for_model) return + max_chunk_length = max_chunk_length or _max_chunk_length(for_model) + tokenizer = tiktoken.encoding_for_model(for_model) - tokenized_text = tokenizer.encode(text) + tokenized_text = tokenizer.encode(content) total_length = len(tokenized_text) n_chunks = ceil(total_length / max_chunk_length) chunk_length = ceil(total_length / n_chunks) - if with_overlap: - overlap = min(max_chunk_length - chunk_length, max_chunk_length / 4) - else: - overlap = 0 + overlap = min(max_chunk_length - chunk_length, MAX_OVERLAP) if with_overlap else 0 for token_batch in batch(tokenized_text, chunk_length + overlap, overlap): yield tokenizer.decode(token_batch), len(token_batch) -def summarize_text(text: str, question: Optional[str]) -> str: +def summarize_text( + text: str, question: Optional[str] = None, max_chunk_length: Optional[int] = None +) -> tuple[str, None | list[tuple[str, str]]]: """Summarize text using the OpenAI API Args: @@ -61,25 +70,30 @@ def summarize_text(text: str, question: Optional[str]) -> str: Returns: str: The summary of the text + list[(summary, chunk)]: Text chunks and their summary, if the text was chunked. + None otherwise. """ if not text: - return "Error: No text to summarize" + raise ValueError("No text to summarize") - model = CFG.fast_llm_model + # model = CFG.fast_llm_model # does not support text completion :( + model = "text-davinci-003" summarization_prompt_template = ( ( - "Describe and summarize the following document, focusing on information" - f'related to the question "{question}".' - "Do not answer the question itself.\n" - '\nDocument: """{content}"""\n' + "Consisely summarize the following text, focusing on " + f'information related to the question "{question}". ' + "Do not answer the question itself. " + "If the text does not contain information, describe the type of text.\n" + '\nText: """{content}"""\n' "\nSummary/description:" ) if question is not None else ( - "Describe and summarize the following document, " - "covering all major topics present in the source text.\n" - '\nDocument: """{content}"""\n' + "Consisely summarize the following text, " + "covering the topics present in the text and nothing more. " + "If the text does not contain information, describe the type of text.\n" + '\nText: """{content}"""\n' "\nSummary/description:" ) ) @@ -87,182 +101,92 @@ def summarize_text(text: str, question: Optional[str]) -> str: token_length = count_string_tokens(text, model) logger.info(f"Text length: {token_length} tokens") - if not must_chunk_text( - text, model, _max_chunk_length(model) - 550 + if not must_chunk_content( + text, model, _max_chunk_length(model, max_chunk_length) - 550 ): # reserve 50 tokens for summary prompt, 500 for the response prompt = summarization_prompt_template.format(content=text) logger.debug(f"Summarizing with {model}:\n{'-'*32}\n{prompt}\n{'-'*32}\n") - return create_text_completion( - prompt, model, temperature=0, max_output_tokens=500 - ) + summary = create_text_completion(prompt, model, temperature=0, max_output_tokens=500) + logger.debug(f"Summary:\n{'-'*32}\n{summary}\n{'-'*32}\n") + return summary, None summaries: list[str] = [] - chunks = chunk_text(text, for_model=model) + chunks = list(split_text(text, for_model=model)) for i, (chunk, chunk_length) in enumerate(chunks): logger.info( f"Summarizing chunk {i + 1} / {len(chunks)} of length {chunk_length} tokens" ) - summary = summarize_text(chunk, question) + summary, _ = summarize_text(chunk, question) summaries.append(summary) logger.info(f"Summarized {len(chunks)} chunks") - return summarize_text("\n\n".join(summaries)) + summary, _ = summarize_text("\n\n".join(summaries)) + + return summary, [(summaries[i], chunks[i][0]) for i in range(0, len(chunks))] def split_text( text: str, - model: str = CFG.fast_llm_model, - question: str = "", -) -> Generator[str, None, None]: - """Split text into chunks of a maximum length + for_model: str = CFG.fast_llm_model, + max_chunk_length: Optional[int] = None, +): + """Split text into chunks of sentences, with each chunk not exceeding the maximum length Args: text (str): The text to split - max_length (int, optional): The maximum length of each chunk. Defaults to 8192. + for_model (str): The model to chunk for; determines tokenizer and constraints + max_length (int, optional): The maximum length of each chunk Yields: str: The next chunk of text Raises: - ValueError: If the text is longer than the maximum length + ValueError: when a sentence is longer than the maximum length """ - max_length = round(_max_chunk_length(CFG.embedding_model) * 0.75) - - flatened_paragraphs = " ".join(text.split("\n")) - nlp = spacy.load(CFG.browse_spacy_language_model) - nlp.add_pipe("sentencizer") - doc = nlp(flatened_paragraphs) - sentences = [sent.text.strip() for sent in doc.sents] - - current_chunk = [] - - for sentence in sentences: - message_with_additional_sentence = [ - create_message(" ".join(current_chunk) + " " + sentence, question) - ] + max_length = max_chunk_length or _max_chunk_length(for_model) - expected_token_usage = ( - count_message_tokens(messages=message_with_additional_sentence, model=model) - + 1 - ) - if expected_token_usage <= max_length: - current_chunk.append(sentence) - else: - yield " ".join(current_chunk) - current_chunk = [sentence] - message_this_sentence_only = [ - create_message(" ".join(current_chunk), question) - ] - expected_token_usage = ( - count_message_tokens(messages=message_this_sentence_only, model=model) - + 1 - ) - if expected_token_usage > max_length: - raise ValueError( - f"Sentence is too long in webpage: {expected_token_usage} tokens." - ) + # flatten paragraphs to improve performance + text = text.replace("\n", " ") + text_length = count_string_tokens(text, for_model) - if current_chunk: - yield " ".join(current_chunk) - - -def summarize_memorize_webpage( - url: str, text: str, question: str, driver: Optional[WebDriver] = None -) -> str: - """Summarize text using the OpenAI API - - Args: - url (str): The url of the text - text (str): The text to summarize - question (str): The question to ask the model - driver (WebDriver): The webdriver to use to scroll the page - - Returns: - str: The summary of the text - """ - if not text: - return "Error: No text to summarize" - - model = CFG.fast_llm_model - text_length = len(text) - logger.info(f"Text length: {text_length} characters") - - summaries = [] - chunks = list( - split_text(text, model=model, question=question), - ) - scroll_ratio = 1 / len(chunks) - - for i, chunk in enumerate(chunks): - if driver: - scroll_to_percentage(driver, scroll_ratio * i) - logger.info(f"Adding chunk {i + 1} / {len(chunks)} to memory") - - memory_to_add = f"Source: {url}\n" f"Raw content part#{i + 1}: {chunk}" - - memory = get_memory(CFG) - memory.add(memory_to_add) - - messages = [create_message(chunk, question)] - tokens_for_chunk = count_message_tokens(messages, model) - logger.info( - f"Summarizing chunk {i + 1} / {len(chunks)} of length {len(chunk)} characters, or {tokens_for_chunk} tokens" - ) - - summary = create_chat_completion( - model=model, - messages=messages, - ) - summaries.append(summary) - logger.info( - f"Added chunk {i + 1} summary to memory, of length {len(summary)} characters" - ) - - memory_to_add = f"Source: {url}\n" f"Content summary part#{i + 1}: {summary}" - - memory.add(memory_to_add) - - logger.info(f"Summarized {len(chunks)} chunks.") - - combined_summary = "\n".join(summaries) - messages = [create_message(combined_summary, question)] - - return create_chat_completion( - model=model, - messages=messages, - ) + if text_length < max_length: + yield text, text_length + return + n_chunks = ceil(text_length / max_length) + target_chunk_length = ceil(text_length / n_chunks) -def scroll_to_percentage(driver: WebDriver, ratio: float) -> None: - """Scroll to a percentage of the page + nlp: spacy.language.Language = spacy.load(CFG.browse_spacy_language_model) + nlp.add_pipe("sentencizer") + doc = nlp(text) + sentences = [sentence.text.strip() for sentence in doc.sents] - Args: - driver (WebDriver): The webdriver to use - ratio (float): The percentage to scroll to + current_chunk: list[str] = [] + current_chunk_length = 0 - Raises: - ValueError: If the ratio is not between 0 and 1 - """ - if ratio < 0 or ratio > 1: - raise ValueError("Percentage should be between 0 and 1") - driver.execute_script(f"window.scrollTo(0, document.body.scrollHeight * {ratio});") + for sentence in sentences: + sentence_length = count_string_tokens(sentence, for_model) + expected_chunk_length = current_chunk_length + 1 + sentence_length + + # TODO: implement overlap + if ( + expected_chunk_length <= max_length + # try to create chunks of approximately equal size + and expected_chunk_length - (sentence_length / 2) < target_chunk_length + ): + current_chunk.append(sentence) + current_chunk_length = expected_chunk_length + elif sentence_length < max_length: + yield " ".join(current_chunk), current_chunk_length -def create_message(chunk: str, question: str) -> Dict[str, str]: - """Create a message for the chat completion + current_chunk = [sentence] + current_chunk_length = sentence_length - Args: - chunk (str): The chunk of text to summarize - question (str): The question to answer + else: + raise ValueError(f"Sentence is too long: {sentence_length} tokens.") - Returns: - Dict[str, str]: The message to send to the chat completion - """ - return { - "role": "user", - "content": f'"""{chunk}""" Using the above text, answer the following' - f' question: "{question}" -- if the question cannot be answered using the text,' - " summarize the text.", - } + if current_chunk: + yield " ".join(current_chunk), current_chunk_length diff --git a/tests/integration/test_json_file_memory.py b/tests/integration/test_json_file_memory.py index 3843d29b371..eb2b0013563 100644 --- a/tests/integration/test_json_file_memory.py +++ b/tests/integration/test_json_file_memory.py @@ -1,27 +1,53 @@ # sourcery skip: snake-case-functions """Tests for LocalCache class""" +import numpy import orjson import pytest from pytest_mock import MockerFixture +import autogpt.memory.providers.json_file as json_file_memory from autogpt.config import Config +from autogpt.memory.memory_item import MemoryItem from autogpt.memory.providers import JSONFileMemory +from autogpt.memory.utils import Embedding from autogpt.workspace import Workspace from tests.utils import requires_api_key EMBED_DIM = 1536 +@pytest.fixture(autouse=True) +def cleanup_sut_singleton(): + if JSONFileMemory in JSONFileMemory._instances: + del JSONFileMemory._instances[JSONFileMemory] + + @pytest.fixture def mock_get_embedding(mocker: MockerFixture): mocker.patch.object( - JSONFileMemory, + json_file_memory, "get_embedding", - return_value=[0.1] * EMBED_DIM, + return_value=[0.0255] * EMBED_DIM, + ) + + +@pytest.fixture +def mock_embedding() -> Embedding: + return numpy.full((1, EMBED_DIM), 0.0255, numpy.float32)[0] + + +@pytest.fixture +def memory_item(mock_embedding: Embedding): + return MemoryItem( + raw_content="test content", + summary="test content summary", + e_summary=mock_embedding, + e_chunks=[mock_embedding], + metadata={}, ) -def test_init_without_backing_file(config: Config, workspace: Workspace): +def test_json_memory_init_without_backing_file(config: Config, workspace: Workspace): index_file = workspace.root / f"{config.memory_index}.json" assert not index_file.exists() @@ -30,7 +56,7 @@ def test_init_without_backing_file(config: Config, workspace: Workspace): assert index_file.read_text() == "[]" -def test_init_with_backing_empty_file(config: Config, workspace: Workspace): +def test_json_memory_init_with_backing_empty_file(config: Config, workspace: Workspace): index_file = workspace.root / f"{config.memory_index}.json" index_file.touch() @@ -40,7 +66,7 @@ def test_init_with_backing_empty_file(config: Config, workspace: Workspace): assert index_file.read_text() == "[]" -def test_init_with_backing_file(config: Config, workspace: Workspace): +def test_json_memory_init_with_backing_file(config: Config, workspace: Workspace): index_file = workspace.root / f"{config.memory_index}.json" index_file.touch() @@ -55,48 +81,57 @@ def test_init_with_backing_file(config: Config, workspace: Workspace): assert index_file.read_text() == "[]" -def test_add(config: Config, mock_get_embedding): +def test_json_memory_add(config: Config, memory_item: MemoryItem): index = JSONFileMemory(config) - index.add("test") - assert index.memories[0].raw_content == "test" - assert len(index.memories[0].e_chunks) == 1 + index.add(memory_item) + assert index.memories[0] == memory_item -def test_clear(config: Config, mock_get_embedding): +def test_json_memory_clear(config: Config, memory_item: MemoryItem): index = JSONFileMemory(config) assert index.memories == [] - index.add("test") - assert index.memories[0].raw_content == "test" + index.add(memory_item) + assert index.memories[0] == memory_item, "Cannot test clear() because add() fails" index.clear() assert index.memories == [] -def test_get(config: Config, mock_get_embedding): +def test_json_memory_get(config: Config, memory_item: MemoryItem, mock_get_embedding): index = JSONFileMemory(config) - assert index.get("test") == [] + assert ( + index.get("test") == None + ), "Cannot test get() because initial index is not empty" - index.add("test") - assert index.get("test").raw_content == "test" + index.add(memory_item) + retrieved = index.get("test") + assert retrieved is not None + assert retrieved == memory_item @pytest.mark.vcr @requires_api_key("OPENAI_API_KEY") -def test_get_relevant(config) -> None: +def test_json_memory_get_relevant(config: Config) -> None: index = JSONFileMemory(config) - text1 = "Sample text 1" - text2 = "Sample text 2" - index.add(text1) - index.add(text2) - - result = index.get_relevant(text1, 1) - assert result[0].raw_content == text1 - - -def test_get_stats(config: Config, mock_get_embedding) -> None: + mem1 = MemoryItem.from_text_file("Sample text", ".") + mem2 = MemoryItem.from_text_file("Grocery list:\n- Pancake mix", ".") + mem3 = MemoryItem.from_text_file("What is your favorite color?", ".") + mem4 = MemoryItem.from_text_file("Lorem ipsum dolor sit amet", ".") + index.add(mem1) + index.add(mem2) + index.add(mem3) + index.add(mem4) + + assert index.get_relevant(mem1.raw_content, 1)[0] == mem1 + assert index.get_relevant(mem2.raw_content, 1)[0] == mem2 + assert index.get_relevant(mem3.raw_content, 1)[0] == mem3 + assert index.get_relevant(mem4.raw_content, 1)[0] == mem4 + + +def test_json_memory_get_stats(config: Config, memory_item: MemoryItem) -> None: index = JSONFileMemory(config) - text = "Sample text" - index.add(text) - stats = index.get_stats() - assert stats == (1, 1) + index.add(memory_item) + n_memories, n_chunks = index.get_stats() + assert n_memories == 1 + assert n_chunks == 1 diff --git a/tests/unit/test_llm_utils.py b/tests/unit/test_llm_utils.py index be36dc090dc..845f3f1cdab 100644 --- a/tests/unit/test_llm_utils.py +++ b/tests/unit/test_llm_utils.py @@ -129,5 +129,5 @@ def test_chunked_tokens(): 1646, ) ] - output = list(llm_utils.chunked_tokens(text, "cl100k_base", 8191)) + output = list(llm_utils.chunked_tokens(text, "gpt-3.5-turbo", 4096)) assert output == expected_output From 314efd92cee5455a68219e48d45811e5cc3637d1 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 8 May 2023 20:36:00 +0200 Subject: [PATCH 05/54] Improve typing --- autogpt/agent/agent.py | 30 +++++++++++-------- autogpt/commands/file_operations.py | 3 +- autogpt/config/ai_config.py | 7 +++-- autogpt/llm/chat.py | 23 ++++++++++---- autogpt/llm/llm_utils.py | 2 +- autogpt/memory/__init__.py | 2 ++ .../memory/{providers/base.py => provider.py} | 4 +-- autogpt/memory/providers/json_file.py | 4 +-- autogpt/memory/providers/milvus.py | 4 +-- autogpt/memory/providers/no_memory.py | 4 +-- autogpt/memory/providers/pinecone.py | 4 +-- autogpt/memory/providers/redis.py | 4 +-- autogpt/memory/providers/weaviate.py | 4 +-- autogpt/memory_management/summary_memory.py | 30 ++++++++----------- autogpt/processing/text.py | 4 ++- autogpt/prompts/generator.py | 4 ++- 16 files changed, 78 insertions(+), 55 deletions(-) rename autogpt/memory/{providers/base.py => provider.py} (89%) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index 9130d105c61..d0d24a1ae46 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -3,10 +3,13 @@ from colorama import Fore, Style from autogpt.app import execute_command, get_command +from autogpt.commands.command import CommandRegistry from autogpt.config import Config +from autogpt.config.ai_config import AIConfig from autogpt.json_utils.json_fix_llm import fix_json_using_multiple_techniques from autogpt.json_utils.utilities import LLM_DEFAULT_RESPONSE_FORMAT, validate_json from autogpt.llm import chat_with_ai, create_chat_completion, create_chat_message +from autogpt.llm.base import Message as ChatMessage from autogpt.llm.token_counter import count_string_tokens from autogpt.log_cycle.log_cycle import ( FULL_MESSAGE_HISTORY_FILE_NAME, @@ -14,6 +17,7 @@ LogCycleHandler, ) from autogpt.logs import logger, print_assistant_thoughts +from autogpt.memory.provider import MemoryProvider from autogpt.speech import say_text from autogpt.spinner import Spinner from autogpt.utils import clean_input @@ -51,22 +55,24 @@ class Agent: def __init__( self, - ai_name, - memory, - full_message_history, - next_action_count, - command_registry, - config, - system_prompt, - triggering_prompt, - workspace_directory, + ai_name: str, + memory: MemoryProvider, + full_message_history: list[ChatMessage], + next_action_count: int, + command_registry: CommandRegistry, + config: AIConfig, + system_prompt: str, + triggering_prompt: str, + workspace_directory: str, ): cfg = Config() self.ai_name = ai_name self.memory = memory - self.summary_memory = ( - "I was created." # Initial memory necessary to avoid hilucination - ) + self.summary_memory: ChatMessage = { + # Initial memory necessary to avoid hallucination + "role": "assistant", + "content": "I was created.", + } self.last_memory_index = 0 self.full_message_history = full_message_history self.next_action_count = next_action_count diff --git a/autogpt/commands/file_operations.py b/autogpt/commands/file_operations.py index 28198ebae27..0f8cfc18f0b 100644 --- a/autogpt/commands/file_operations.py +++ b/autogpt/commands/file_operations.py @@ -14,6 +14,7 @@ from autogpt.commands.command import command from autogpt.config import Config from autogpt.logs import logger +from autogpt.memory import MemoryProvider from autogpt.spinner import Spinner from autogpt.utils import readable_file_size @@ -163,7 +164,7 @@ def read_file(filename: str) -> str: def ingest_file( - filename: str, memory, max_length: int = 4000, overlap: int = 200 + filename: str, memory: MemoryProvider, max_length: int = 4000, overlap: int = 200 ) -> None: """ Ingest a file by reading its content, splitting it into chunks with a specified diff --git a/autogpt/config/ai_config.py b/autogpt/config/ai_config.py index 88acbfe6fb7..55309fb3f29 100644 --- a/autogpt/config/ai_config.py +++ b/autogpt/config/ai_config.py @@ -7,11 +7,12 @@ import os import platform from pathlib import Path -from typing import Any, Optional, Type +from typing import Optional import distro import yaml +from autogpt.commands.command import CommandRegistry from autogpt.prompts.generator import PromptGenerator # Soon this will go in a folder where it remembers more stuff about the run(s) @@ -53,8 +54,8 @@ def __init__( self.ai_role = ai_role self.ai_goals = ai_goals self.api_budget = api_budget - self.prompt_generator = None - self.command_registry = None + self.prompt_generator: PromptGenerator | None = None + self.command_registry: CommandRegistry | None = None @staticmethod def load(config_file: str = SAVE_FILE) -> "AIConfig": diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 8f7f7d50fb3..81156954a4d 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -3,6 +3,7 @@ from openai.error import RateLimitError +from autogpt.agent.agent import Agent from autogpt.config import Config from autogpt.llm.api_manager import ApiManager from autogpt.llm.base import Message @@ -10,11 +11,12 @@ from autogpt.llm.token_counter import count_message_tokens from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME from autogpt.logs import logger +from autogpt.memory import MemoryItem, MemoryProvider cfg = Config() -def create_chat_message(role, content) -> Message: +def create_chat_message(role: str, content: str) -> Message: """ Create a chat message with the given role and content. @@ -28,7 +30,12 @@ def create_chat_message(role, content) -> Message: return {"role": role, "content": content} -def generate_context(prompt, relevant_memory, full_message_history, model): +def generate_context( + prompt: str, + relevant_memory: MemoryItem, + full_message_history: list[Message], + model: str, +): current_context = [ create_chat_message("system", prompt), create_chat_message( @@ -55,7 +62,12 @@ def generate_context(prompt, relevant_memory, full_message_history, model): # TODO: Change debug from hardcode to argument def chat_with_ai( - agent, prompt, user_input, full_message_history, permanent_memory, token_limit + agent: Agent, + prompt: str, + user_input: str, + full_message_history: list[Message], + permanent_memory: MemoryProvider, + token_limit: int, ): """Interact with the OpenAI API, sending the prompt, user input, message history, and permanent memory.""" @@ -146,6 +158,7 @@ def chat_with_ai( # Move to the next most recent message in the full message history next_message_to_add_index -= 1 + from autogpt.memory_management.summary_memory import ( get_newly_trimmed_messages, update_running_summary, @@ -164,7 +177,7 @@ def chat_with_ai( agent.summary_memory = update_running_summary( agent, - current_memory=agent.summary_memory, + current_summary=agent.summary_memory["content"], new_events=newly_trimmed_messages, ) current_context.insert(insertion_index, agent.summary_memory) @@ -200,7 +213,7 @@ def chat_with_ai( if not plugin.can_handle_on_planning(): continue plugin_response = plugin.on_planning( - agent.prompt_generator, current_context + agent.config.prompt_generator, current_context ) if not plugin_response or plugin_response == "": continue diff --git a/autogpt/llm/llm_utils.py b/autogpt/llm/llm_utils.py index 82eca5c6d03..91b3c9cf686 100644 --- a/autogpt/llm/llm_utils.py +++ b/autogpt/llm/llm_utils.py @@ -180,7 +180,7 @@ def create_text_completion( @metered @retry_openai_api() def create_chat_completion( - messages: List[Message], # type: ignore + messages: list[Message], # type: ignore model: Optional[str] = None, temperature: float = None, max_tokens: Optional[int] = None, diff --git a/autogpt/memory/__init__.py b/autogpt/memory/__init__.py index 474a4c60669..8a512187f2c 100644 --- a/autogpt/memory/__init__.py +++ b/autogpt/memory/__init__.py @@ -2,6 +2,7 @@ from autogpt.logs import logger from .memory_item import MemoryItem +from .provider import MemoryProvider from .providers.json_file import JSONFileMemory from .providers.no_memory import NoMemory @@ -91,6 +92,7 @@ def get_supported_memory_backends(): __all__ = [ "get_memory", "MemoryItem", + "MemoryProvider", "JSONFileMemory", "NoMemory", "RedisMemory", diff --git a/autogpt/memory/providers/base.py b/autogpt/memory/provider.py similarity index 89% rename from autogpt/memory/providers/base.py rename to autogpt/memory/provider.py index fd80775614d..9af9a43f73e 100644 --- a/autogpt/memory/providers/base.py +++ b/autogpt/memory/provider.py @@ -3,10 +3,10 @@ from autogpt.singleton import AbstractSingleton -from ..memory_item import MemoryItem +from .memory_item import MemoryItem -class MemoryProviderSingleton(AbstractSingleton): +class MemoryProvider(AbstractSingleton): @abc.abstractmethod def add(self, item: MemoryItem): """Adds a MemoryItem to the memory index""" diff --git a/autogpt/memory/providers/json_file.py b/autogpt/memory/providers/json_file.py index 98a01975514..99fad04f1f0 100644 --- a/autogpt/memory/providers/json_file.py +++ b/autogpt/memory/providers/json_file.py @@ -10,11 +10,11 @@ from autogpt.logs import logger from ..memory_item import MemoryItem +from ..provider import MemoryProvider from ..utils import Embedding, get_embedding -from .base import MemoryProviderSingleton -class JSONFileMemory(MemoryProviderSingleton): +class JSONFileMemory(MemoryProvider): """Memory backend that stores memories in a JSON file""" SAVE_OPTIONS = orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_SERIALIZE_DATACLASS diff --git a/autogpt/memory/providers/milvus.py b/autogpt/memory/providers/milvus.py index b22733ff6b2..f21ad679869 100644 --- a/autogpt/memory/providers/milvus.py +++ b/autogpt/memory/providers/milvus.py @@ -6,10 +6,10 @@ from autogpt.config import Config from autogpt.llm import get_ada_embedding -from .base import MemoryProviderSingleton +from ..provider import MemoryProvider -class MilvusMemory(MemoryProviderSingleton): +class MilvusMemory(MemoryProvider): """Milvus memory storage provider.""" def __init__(self, cfg: Config) -> None: diff --git a/autogpt/memory/providers/no_memory.py b/autogpt/memory/providers/no_memory.py index b201d123135..5f1b20e0cb7 100644 --- a/autogpt/memory/providers/no_memory.py +++ b/autogpt/memory/providers/no_memory.py @@ -4,10 +4,10 @@ from typing import Any from .. import MemoryItem -from .base import MemoryProviderSingleton +from ..provider import MemoryProvider -class NoMemory(MemoryProviderSingleton): +class NoMemory(MemoryProvider): """ A class that does not store any data. This is the default memory provider. """ diff --git a/autogpt/memory/providers/pinecone.py b/autogpt/memory/providers/pinecone.py index 1567532b5c3..e15e9d71d1e 100644 --- a/autogpt/memory/providers/pinecone.py +++ b/autogpt/memory/providers/pinecone.py @@ -4,10 +4,10 @@ from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from .base import MemoryProviderSingleton +from ..provider import MemoryProvider -class PineconeMemory(MemoryProviderSingleton): +class PineconeMemory(MemoryProvider): def __init__(self, cfg): pinecone_api_key = cfg.pinecone_api_key pinecone_region = cfg.pinecone_region diff --git a/autogpt/memory/providers/redis.py b/autogpt/memory/providers/redis.py index d2020d36ac6..de2af6663cf 100644 --- a/autogpt/memory/providers/redis.py +++ b/autogpt/memory/providers/redis.py @@ -16,11 +16,11 @@ from autogpt.logs import logger from ..memory_item import MemoryItem +from ..provider import MemoryProvider from ..utils import Embedding, get_embedding -from .base import MemoryProviderSingleton -class RedisMemory(MemoryProviderSingleton): +class RedisMemory(MemoryProvider): cfg: Config redis: redis.Redis diff --git a/autogpt/memory/providers/weaviate.py b/autogpt/memory/providers/weaviate.py index 00a002cd045..04736051628 100644 --- a/autogpt/memory/providers/weaviate.py +++ b/autogpt/memory/providers/weaviate.py @@ -6,7 +6,7 @@ from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from .base import MemoryProviderSingleton +from ..provider import MemoryProvider def default_schema(weaviate_index): @@ -22,7 +22,7 @@ def default_schema(weaviate_index): } -class WeaviateMemory(MemoryProviderSingleton): +class WeaviateMemory(MemoryProvider): def __init__(self, cfg): auth_credentials = self._build_auth_credentials(cfg) diff --git a/autogpt/memory_management/summary_memory.py b/autogpt/memory_management/summary_memory.py index 55ff385341e..5d1c9f19861 100644 --- a/autogpt/memory_management/summary_memory.py +++ b/autogpt/memory_management/summary_memory.py @@ -1,9 +1,9 @@ import copy import json -from typing import Dict, List, Tuple from autogpt.agent import Agent from autogpt.config import Config +from autogpt.llm.base import Message from autogpt.llm.llm_utils import create_chat_completion from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME @@ -11,10 +11,10 @@ def get_newly_trimmed_messages( - full_message_history: List[Dict[str, str]], - current_context: List[Dict[str, str]], + full_message_history: list[Message], + current_context: list[Message], last_memory_index: int, -) -> Tuple[List[Dict[str, str]], int]: +) -> tuple[list[Message], int]: """ This function returns a list of dictionaries contained in full_message_history with an index higher than prev_index that are absent from current_context. @@ -48,8 +48,8 @@ def get_newly_trimmed_messages( def update_running_summary( - agent: Agent, current_memory: str, new_events: List[Dict[str, str]] -) -> str: + agent: Agent, current_summary: str, new_events: list[Message] +) -> Message: """ This function takes a list of dictionaries representing new events and combines them with the current summary, focusing on key and potentially important information to remember. The updated summary is returned in a message @@ -87,26 +87,22 @@ def update_running_summary( elif event["role"] == "user": new_events.remove(event) - # This can happen at any point during execturion, not just the beginning - if len(new_events) == 0: - new_events = "Nothing new happened." - prompt = f'''Your task is to create a concise running summary of actions and information results in the provided text, focusing on key and potentially important information to remember. You will receive the current summary and the your latest actions. Combine them, adding relevant key information from the latest development in 1st person past tense and keeping the summary concise. Summary So Far: """ -{current_memory} +{current_summary} """ Latest Development: """ -{new_events} +{new_events or "Nothing new happened."} """ ''' - messages = [ + messages: list[Message] = [ { "role": "user", "content": prompt, @@ -120,19 +116,19 @@ def update_running_summary( PROMPT_SUMMARY_FILE_NAME, ) - current_memory = create_chat_completion(messages, cfg.fast_llm_model) + current_summary = create_chat_completion(messages, cfg.fast_llm_model) agent.log_cycle_handler.log_cycle( agent.config.ai_name, agent.created_at, agent.cycle_count, - current_memory, + current_summary, SUMMARY_FILE_NAME, ) - message_to_return = { + message_to_return: Message = { "role": "system", - "content": f"This reminds you of these events from your past: \n{current_memory}", + "content": f"This reminds you of these events from your past: \n{current_summary}", } return message_to_return diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index 4f322183a79..362dab907ff 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -106,7 +106,9 @@ def summarize_text( ): # reserve 50 tokens for summary prompt, 500 for the response prompt = summarization_prompt_template.format(content=text) logger.debug(f"Summarizing with {model}:\n{'-'*32}\n{prompt}\n{'-'*32}\n") - summary = create_text_completion(prompt, model, temperature=0, max_output_tokens=500) + summary = create_text_completion( + prompt, model, temperature=0, max_output_tokens=500 + ) logger.debug(f"Summary:\n{'-'*32}\n{summary}\n{'-'*32}\n") return summary, None diff --git a/autogpt/prompts/generator.py b/autogpt/prompts/generator.py index 2ae9123b239..4ad430f01fa 100644 --- a/autogpt/prompts/generator.py +++ b/autogpt/prompts/generator.py @@ -2,6 +2,8 @@ import json from typing import Any, Callable, Dict, List, Optional +from autogpt.commands.command import CommandRegistry + class PromptGenerator: """ @@ -19,7 +21,7 @@ def __init__(self) -> None: self.resources = [] self.performance_evaluation = [] self.goals = [] - self.command_registry = None + self.command_registry: CommandRegistry | None = None self.name = "Bob" self.role = "AI" self.response_format = { From cc8f53d5e2a4a83dcf23ada70ca997d0d31ddf08 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Tue, 9 May 2023 01:13:36 +0200 Subject: [PATCH 06/54] Modularize message history memory & fix/refactor lots of things --- autogpt/agent/agent.py | 25 +- autogpt/agent/agent_manager.py | 10 +- autogpt/app.py | 2 +- autogpt/commands/file_operations.py | 9 +- autogpt/commands/web_selenium.py | 2 +- autogpt/configurator.py | 2 +- autogpt/llm/chat.py | 374 ++++++++---------- autogpt/main.py | 4 +- autogpt/memory/__init__.py | 102 ----- autogpt/memory/context/__init__.py | 115 ++++++ autogpt/memory/{ => context}/memory_item.py | 0 autogpt/memory/context/providers/__init__.py | 64 +++ .../{ => context}/providers/json_file.py | 4 +- .../memory/{ => context}/providers/milvus.py | 4 +- .../{ => context}/providers/no_memory.py | 4 +- .../{ => context}/providers/pinecone.py | 4 +- .../memory/{ => context}/providers/redis.py | 4 +- .../{ => context}/providers/weaviate.py | 4 +- autogpt/memory/{ => context}/utils.py | 0 autogpt/memory/history.py | 185 +++++++++ autogpt/memory/provider.py | 33 -- autogpt/memory/providers/__init__.py | 26 -- autogpt/memory_management/store_memory.py | 33 -- autogpt/memory_management/summary_memory.py | 134 ------- data_ingestion.py | 6 +- docs/configuration/memory.md | 2 +- tests/integration/agent_factory.py | 7 +- tests/integration/milvus_memory_tests.py | 2 +- ...y_management.py => test_history_memory.py} | 8 +- tests/integration/test_json_file_memory.py | 7 +- tests/integration/weaviate_memory_tests.py | 2 +- tests/test_agent.py | 8 +- tests/test_agent_manager.py | 2 +- 33 files changed, 588 insertions(+), 600 deletions(-) delete mode 100644 autogpt/memory/__init__.py create mode 100644 autogpt/memory/context/__init__.py rename autogpt/memory/{ => context}/memory_item.py (100%) create mode 100644 autogpt/memory/context/providers/__init__.py rename autogpt/memory/{ => context}/providers/json_file.py (97%) rename autogpt/memory/{ => context}/providers/milvus.py (98%) rename autogpt/memory/{ => context}/providers/no_memory.py (95%) rename autogpt/memory/{ => context}/providers/pinecone.py (97%) rename autogpt/memory/{ => context}/providers/redis.py (98%) rename autogpt/memory/{ => context}/providers/weaviate.py (98%) rename autogpt/memory/{ => context}/utils.py (100%) create mode 100644 autogpt/memory/history.py delete mode 100644 autogpt/memory/provider.py delete mode 100644 autogpt/memory/providers/__init__.py delete mode 100644 autogpt/memory_management/store_memory.py delete mode 100644 autogpt/memory_management/summary_memory.py rename tests/integration/{test_memory_management.py => test_history_memory.py} (89%) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index d0d24a1ae46..f7145304148 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -17,7 +17,8 @@ LogCycleHandler, ) from autogpt.logs import logger, print_assistant_thoughts -from autogpt.memory.provider import MemoryProvider +from autogpt.memory.context import ContextMemory +from autogpt.memory.history import MessageHistory from autogpt.speech import say_text from autogpt.spinner import Spinner from autogpt.utils import clean_input @@ -30,7 +31,6 @@ class Agent: Attributes: ai_name: The name of the agent. memory: The memory object to use. - full_message_history: The full message history. next_action_count: The number of actions to execute. system_prompt: The system prompt is the initial prompt that defines everything the AI needs to know to achieve its task successfully. @@ -56,8 +56,7 @@ class Agent: def __init__( self, ai_name: str, - memory: MemoryProvider, - full_message_history: list[ChatMessage], + memory: ContextMemory, next_action_count: int, command_registry: CommandRegistry, config: AIConfig, @@ -68,13 +67,7 @@ def __init__( cfg = Config() self.ai_name = ai_name self.memory = memory - self.summary_memory: ChatMessage = { - # Initial memory necessary to avoid hallucination - "role": "assistant", - "content": "I was created.", - } - self.last_memory_index = 0 - self.full_message_history = full_message_history + self.history = MessageHistory(self) self.next_action_count = next_action_count self.command_registry = command_registry self.config = config @@ -101,7 +94,7 @@ def start_interaction_loop(self): self.config.ai_name, self.created_at, self.cycle_count, - self.full_message_history, + self.history.messages, FULL_MESSAGE_HISTORY_FILE_NAME, ) if ( @@ -119,8 +112,6 @@ def start_interaction_loop(self): self, self.system_prompt, self.triggering_prompt, - self.full_message_history, - self.memory, cfg.fast_token_limit, ) # TODO: This hardcodes the model to use GPT3.5. Make this an argument @@ -269,7 +260,7 @@ def start_interaction_loop(self): str(command_result), cfg.fast_llm_model ) memory_tlength = count_string_tokens( - str(self.summary_memory), cfg.fast_llm_model + str(self.history.summary_message()), cfg.fast_llm_model ) if result_tlength + memory_tlength + 600 > cfg.fast_token_limit: result = f"Failure: command {command_name} returned too much output. \ @@ -285,10 +276,10 @@ def start_interaction_loop(self): # Check if there's a result from the command append it to the message # history if result is not None: - self.full_message_history.append(create_chat_message("system", result)) + self.history.add(create_chat_message("system", result)) logger.typewriter_log("SYSTEM: ", Fore.YELLOW, result) else: - self.full_message_history.append( + self.history.add( create_chat_message("system", "Unable to execute command") ) logger.typewriter_log( diff --git a/autogpt/agent/agent_manager.py b/autogpt/agent/agent_manager.py index 17fb35d8784..d65b8d0ce6e 100644 --- a/autogpt/agent/agent_manager.py +++ b/autogpt/agent/agent_manager.py @@ -1,9 +1,7 @@ """Agent manager for managing GPT agents""" from __future__ import annotations -from typing import List - -from autogpt.config.config import Config +from autogpt.config import Config from autogpt.llm import Message, create_chat_completion from autogpt.singleton import Singleton @@ -13,7 +11,9 @@ class AgentManager(metaclass=Singleton): def __init__(self): self.next_key = 0 - self.agents = {} # key, (task, full_message_history, model) + self.agents: dict[ + int, tuple[str, list[Message], str] + ] = {} # key, (task, full_message_history, model) self.cfg = Config() # Create new GPT agent @@ -30,7 +30,7 @@ def create_agent(self, task: str, prompt: str, model: str) -> tuple[int, str]: Returns: The key of the new agent """ - messages: List[Message] = [ + messages: list[Message] = [ {"role": "user", "content": prompt}, ] for plugin in self.cfg.plugins: diff --git a/autogpt/app.py b/autogpt/app.py index 1c5040d92d4..92beca6d174 100644 --- a/autogpt/app.py +++ b/autogpt/app.py @@ -7,7 +7,7 @@ from autogpt.commands.web_requests import scrape_links, scrape_text from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory import get_memory +from autogpt.memory.context import get_memory from autogpt.processing.text import summarize_text from autogpt.prompts.generator import PromptGenerator from autogpt.speech import say_text diff --git a/autogpt/commands/file_operations.py b/autogpt/commands/file_operations.py index 0f8cfc18f0b..448fee4cfb2 100644 --- a/autogpt/commands/file_operations.py +++ b/autogpt/commands/file_operations.py @@ -14,7 +14,7 @@ from autogpt.commands.command import command from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory import MemoryProvider +from autogpt.memory.context import ContextMemory from autogpt.spinner import Spinner from autogpt.utils import readable_file_size @@ -28,7 +28,7 @@ def text_checksum(text: str) -> str: return hashlib.md5(text.encode("utf-8")).hexdigest() -def operations_from_log(log_path: str) -> Generator[Tuple[Operation, str, str | None]]: +def operations_from_log(log_path: str) -> Generator[tuple[Operation, str, str | None]]: """Parse the file operations log and return a tuple containing the log entries""" try: log = open(log_path, "r", encoding="utf-8") @@ -164,7 +164,10 @@ def read_file(filename: str) -> str: def ingest_file( - filename: str, memory: MemoryProvider, max_length: int = 4000, overlap: int = 200 + filename: str, + memory: ContextMemory, + max_length: int = 4000, + overlap: int = 200, ) -> None: """ Ingest a file by reading its content, splitting it into chunks with a specified diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index 7b43da80c66..64349c29cbb 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -22,7 +22,7 @@ from autogpt.commands.command import command from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory import MemoryItem, NoMemory, get_memory +from autogpt.memory.context import MemoryItem, NoMemory, get_memory from autogpt.processing.html import extract_hyperlinks, format_hyperlinks from autogpt.processing.text import summarize_text from autogpt.url_utils.validators import validate_url diff --git a/autogpt/configurator.py b/autogpt/configurator.py index 84000e57655..3dc6af319a5 100644 --- a/autogpt/configurator.py +++ b/autogpt/configurator.py @@ -5,7 +5,7 @@ from autogpt import utils from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory import get_supported_memory_backends +from autogpt.memory.context import get_supported_memory_backends CFG = Config() diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 81156954a4d..f2e96e37c7e 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -1,8 +1,6 @@ import time from random import shuffle -from openai.error import RateLimitError - from autogpt.agent.agent import Agent from autogpt.config import Config from autogpt.llm.api_manager import ApiManager @@ -11,7 +9,7 @@ from autogpt.llm.token_counter import count_message_tokens from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME from autogpt.logs import logger -from autogpt.memory import MemoryItem, MemoryProvider +from autogpt.memory.context import ContextMemory, MemoryItem cfg = Config() @@ -31,13 +29,13 @@ def create_chat_message(role: str, content: str) -> Message: def generate_context( - prompt: str, - relevant_memory: MemoryItem, + system_prompt: str, + relevant_memory: list[MemoryItem], full_message_history: list[Message], model: str, ): current_context = [ - create_chat_message("system", prompt), + create_chat_message("system", system_prompt), create_chat_message( "system", f"The current time and date is {time.strftime('%c')}" ), @@ -63,211 +61,181 @@ def generate_context( # TODO: Change debug from hardcode to argument def chat_with_ai( agent: Agent, - prompt: str, + system_prompt: str, user_input: str, - full_message_history: list[Message], - permanent_memory: MemoryProvider, token_limit: int, ): - """Interact with the OpenAI API, sending the prompt, user input, message history, - and permanent memory.""" - while True: - try: - """ - Interact with the OpenAI API, sending the prompt, user input, - message history, and permanent memory. - - Args: - prompt (str): The prompt explaining the rules to the AI. - user_input (str): The input from the user. - full_message_history (list): The list of all messages sent between the - user and the AI. - permanent_memory (Obj): The memory object containing the permanent - memory. - token_limit (int): The maximum number of tokens allowed in the API call. - - Returns: - str: The AI's response. - """ - model = cfg.fast_llm_model # TODO: Change model from hardcode to argument - # Reserve 1000 tokens for the response - logger.debug(f"Token limit: {token_limit}") - send_token_limit = token_limit - 1000 - - # if len(full_message_history) == 0: - # relevant_memory = "" - # else: - # recent_history = full_message_history[-5:] - # shuffle(recent_history) - # relevant_memories = permanent_memory.get_relevant( - # str(recent_history), 5 - # ) - # if relevant_memories: - # shuffle(relevant_memories) - # relevant_memory = str(relevant_memories) - relevant_memory = "" - logger.debug(f"Memory Stats: {permanent_memory.get_stats()}") - - ( - next_message_to_add_index, - current_tokens_used, - insertion_index, - current_context, - ) = generate_context(prompt, relevant_memory, full_message_history, model) - - # while current_tokens_used > 2500: - # # remove memories until we are under 2500 tokens - # relevant_memory = relevant_memory[:-1] - # ( - # next_message_to_add_index, - # current_tokens_used, - # insertion_index, - # current_context, - # ) = generate_context( - # prompt, relevant_memory, full_message_history, model - # ) - - current_tokens_used += count_message_tokens( - [create_chat_message("user", user_input)], model - ) # Account for user input (appended later) - - current_tokens_used += 500 # Account for memory (appended later) TODO: The final memory may be less than 500 tokens - - # Add Messages until the token limit is reached or there are no more messages to add. - while next_message_to_add_index >= 0: - # print (f"CURRENT TOKENS USED: {current_tokens_used}") - message_to_add = full_message_history[next_message_to_add_index] - - tokens_to_add = count_message_tokens([message_to_add], model) - if current_tokens_used + tokens_to_add > send_token_limit: - # save_memory_trimmed_from_context_window( - # full_message_history, - # next_message_to_add_index, - # permanent_memory, - # ) - break - - # Add the most recent message to the start of the current context, - # after the two system prompts. - current_context.insert( - insertion_index, full_message_history[next_message_to_add_index] - ) + """ + Interact with the OpenAI API, sending the prompt, user input, + message history, and permanent memory. - # Count the currently used tokens - current_tokens_used += tokens_to_add + Args: + system_prompt (str): The prompt explaining the rules to the AI. + user_input (str): The input from the user. + token_limit (int): The maximum number of tokens allowed in the API call. - # Move to the next most recent message in the full message history - next_message_to_add_index -= 1 + Returns: + str: The AI's response. + """ + model = cfg.fast_llm_model # TODO: Change model from hardcode to argument + # Reserve 1000 tokens for the response + logger.debug(f"Token limit: {token_limit}") + send_token_limit = token_limit - 1000 + + # if len(agent.history.messages) == 0: + # relevant_memory = "" + # else: + # recent_history = agent.history.messages[-5:] + # shuffle(recent_history) + # relevant_memories = agent.memory.get_relevant( + # str(recent_history), 5 + # ) + # if relevant_memories: + # shuffle(relevant_memories) + # relevant_memory = str(relevant_memories) + # logger.debug(f"Memory Stats: {agent.memory.get_stats()}") + relevant_memory = [] + + ( + next_message_to_add_index, + current_tokens_used, + insertion_index, + message_chain, + ) = generate_context( + system_prompt, relevant_memory, agent.history.messages, model + ) - from autogpt.memory_management.summary_memory import ( - get_newly_trimmed_messages, - update_running_summary, + # while current_tokens_used > 2500: + # # remove memories until we are under 2500 tokens + # relevant_memory = relevant_memory[:-1] + # ( + # next_message_to_add_index, + # current_tokens_used, + # insertion_index, + # current_context, + # ) = generate_context( + # prompt, relevant_memory, agent.history.messages, model + # ) + + # Account for user input (appended later) + user_input_msg = create_chat_message("user", user_input) + current_tokens_used += count_message_tokens([user_input_msg], model) + + current_tokens_used += 500 # Account for memory (appended later) TODO: The final memory may be less than 500 tokens + + # Add Messages until the token limit is reached or there are no more messages to add. + while next_message_to_add_index >= 0: + message_to_add = agent.history.messages[next_message_to_add_index] + + tokens_to_add = count_message_tokens([message_to_add], model) + if current_tokens_used + tokens_to_add > send_token_limit: + # agent.history.save_memory_trimmed_from_context_window( + # next_message_to_add_index, + # agent.memory, + # ) + break + + # Add the most recent message to the start of the chain, + # after the system prompts. + message_chain.insert( + insertion_index, agent.history.messages[next_message_to_add_index] + ) + current_tokens_used += tokens_to_add + next_message_to_add_index -= 1 + + # Update & add summary of trimmed messages + if len(agent.history.messages) > 0: + newly_trimmed_messages = agent.history.get_trimmed_messages( + current_message_chain=message_chain, + ) + + summary_message = agent.history.update_running_summary( + new_events=newly_trimmed_messages, + ) + message_chain.insert(insertion_index, summary_message) + + api_manager = ApiManager() + # inform the AI about its remaining budget (if it has one) + if api_manager.get_total_budget() > 0.0: + remaining_budget = ( + api_manager.get_total_budget() - api_manager.get_total_cost() + ) + if remaining_budget < 0: + remaining_budget = 0 + budget_message = ( + f"Your remaining API budget is ${remaining_budget:.3f}" + + ( + " BUDGET EXCEEDED! SHUT DOWN!\n\n" + if remaining_budget == 0 + else " Budget very nearly exceeded! Shut down gracefully!\n\n" + if remaining_budget < 0.005 + else " Budget nearly exceeded. Finish up.\n\n" + if remaining_budget < 0.01 + else "\n\n" ) - - # Insert Memories - if len(full_message_history) > 0: - ( - newly_trimmed_messages, - agent.last_memory_index, - ) = get_newly_trimmed_messages( - full_message_history=full_message_history, - current_context=current_context, - last_memory_index=agent.last_memory_index, - ) - - agent.summary_memory = update_running_summary( - agent, - current_summary=agent.summary_memory["content"], - new_events=newly_trimmed_messages, - ) - current_context.insert(insertion_index, agent.summary_memory) - - api_manager = ApiManager() - # inform the AI about its remaining budget (if it has one) - if api_manager.get_total_budget() > 0.0: - remaining_budget = ( - api_manager.get_total_budget() - api_manager.get_total_cost() - ) - if remaining_budget < 0: - remaining_budget = 0 - system_message = ( - f"Your remaining API budget is ${remaining_budget:.3f}" - + ( - " BUDGET EXCEEDED! SHUT DOWN!\n\n" - if remaining_budget == 0 - else " Budget very nearly exceeded! Shut down gracefully!\n\n" - if remaining_budget < 0.005 - else " Budget nearly exceeded. Finish up.\n\n" - if remaining_budget < 0.01 - else "\n\n" - ) - ) - logger.debug(system_message) - current_context.append(create_chat_message("system", system_message)) - - # Append user input, the length of this is accounted for above - current_context.extend([create_chat_message("user", user_input)]) - - plugin_count = len(cfg.plugins) - for i, plugin in enumerate(cfg.plugins): - if not plugin.can_handle_on_planning(): - continue - plugin_response = plugin.on_planning( - agent.config.prompt_generator, current_context - ) - if not plugin_response or plugin_response == "": - continue - tokens_to_add = count_message_tokens( - [create_chat_message("system", plugin_response)], model - ) - if current_tokens_used + tokens_to_add > send_token_limit: - logger.debug("Plugin response too long, skipping:", plugin_response) - logger.debug("Plugins remaining at stop:", plugin_count - i) - break - current_context.append(create_chat_message("system", plugin_response)) - - # Calculate remaining tokens - tokens_remaining = token_limit - current_tokens_used - # assert tokens_remaining >= 0, "Tokens remaining is negative. - # This should never happen, please submit a bug report at - # https://www.github.com/Torantulino/Auto-GPT" - - # Debug print the current context - logger.debug(f"Token limit: {token_limit}") - logger.debug(f"Send Token Count: {current_tokens_used}") - logger.debug(f"Tokens remaining for response: {tokens_remaining}") - logger.debug("------------ CONTEXT SENT TO AI ---------------") - for message in current_context: - # Skip printing the prompt - if message["role"] == "system" and message["content"] == prompt: - continue - logger.debug(f"{message['role'].capitalize()}: {message['content']}") - logger.debug("") - logger.debug("----------- END OF CONTEXT ----------------") - agent.log_cycle_handler.log_cycle( - agent.config.ai_name, - agent.created_at, - agent.cycle_count, - current_context, - CURRENT_CONTEXT_FILE_NAME, + ) + logger.debug(budget_message) + message_chain.append(create_chat_message("system", budget_message)) + + # Append user input, the length of this is accounted for above + message_chain.append(user_input_msg) + + plugin_count = len(cfg.plugins) + for i, plugin in enumerate(cfg.plugins): + if not plugin.can_handle_on_planning(): + continue + plugin_response = plugin.on_planning( + agent.config.prompt_generator, message_chain + ) + if not plugin_response or plugin_response == "": + continue + tokens_to_add = count_message_tokens( + [create_chat_message("system", plugin_response)], model + ) + if current_tokens_used + tokens_to_add > send_token_limit: + logger.debug( + f"Plugin response too long, skipping: {plugin_response}" ) + logger.debug(f"Plugins remaining at stop: {plugin_count - i}") + break + message_chain.append(create_chat_message("system", plugin_response)) + + # Calculate remaining tokens + tokens_remaining = token_limit - current_tokens_used + # assert tokens_remaining >= 0, "Tokens remaining is negative. + # This should never happen, please submit a bug report at + # https://www.github.com/Torantulino/Auto-GPT" + + # Debug print the current context + logger.debug(f"Token limit: {token_limit}") + logger.debug(f"Send Token Count: {current_tokens_used}") + logger.debug(f"Tokens remaining for response: {tokens_remaining}") + logger.debug("------------ CONTEXT SENT TO AI ---------------") + for message in message_chain: + # Skip printing the prompt + if message["role"] == "system" and message["content"] == system_prompt: + continue + logger.debug(f"{message['role'].capitalize()}: {message['content']}") + logger.debug("") + logger.debug("----------- END OF CONTEXT ----------------") + agent.log_cycle_handler.log_cycle( + agent.config.ai_name, + agent.created_at, + agent.cycle_count, + message_chain, + CURRENT_CONTEXT_FILE_NAME, + ) - # TODO: use a model defined elsewhere, so that model can contain - # temperature and other settings we care about - assistant_reply = create_chat_completion( - model=model, - messages=current_context, - max_tokens=tokens_remaining, - ) + # TODO: use a model defined elsewhere, so that model can contain + # temperature and other settings we care about + assistant_reply = create_chat_completion( + model=model, + messages=message_chain, + max_tokens=tokens_remaining, + ) - # Update full message history - full_message_history.append(create_chat_message("user", user_input)) - full_message_history.append( - create_chat_message("assistant", assistant_reply) - ) + # Update full message history + agent.history.add(user_input_msg) + agent.history.add(create_chat_message("assistant", assistant_reply)) - return assistant_reply - except RateLimitError: - # TODO: When we switch to langchain, this is built in - logger.warn("Error: ", "API Rate Limit Reached. Waiting 10 seconds...") - time.sleep(10) + return assistant_reply diff --git a/autogpt/main.py b/autogpt/main.py index 72eb67868f1..9745acc7991 100644 --- a/autogpt/main.py +++ b/autogpt/main.py @@ -10,7 +10,7 @@ from autogpt.config import Config, check_openai_api_key from autogpt.configurator import create_config from autogpt.logs import logger -from autogpt.memory import get_memory +from autogpt.memory.context import get_memory from autogpt.plugins import scan_plugins from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT, construct_main_ai_config from autogpt.utils import ( @@ -151,7 +151,6 @@ def run_auto_gpt( ai_config.command_registry = command_registry # print(prompt) # Initialize variables - full_message_history = [] next_action_count = 0 # add chat plugins capable of report to logger @@ -175,7 +174,6 @@ def run_auto_gpt( agent = Agent( ai_name=ai_name, memory=memory, - full_message_history=full_message_history, next_action_count=next_action_count, command_registry=command_registry, config=ai_config, diff --git a/autogpt/memory/__init__.py b/autogpt/memory/__init__.py deleted file mode 100644 index 8a512187f2c..00000000000 --- a/autogpt/memory/__init__.py +++ /dev/null @@ -1,102 +0,0 @@ -from autogpt.config import Config -from autogpt.logs import logger - -from .memory_item import MemoryItem -from .provider import MemoryProvider -from .providers.json_file import JSONFileMemory -from .providers.no_memory import NoMemory - -# List of supported memory backends -# Add a backend to this list if the import attempt is successful -supported_memory = ["json_file", "no_memory"] - -try: - from .providers.redis import RedisMemory - - supported_memory.append("redis") -except ImportError: - RedisMemory = None - -try: - from .providers.pinecone import PineconeMemory - - supported_memory.append("pinecone") -except ImportError: - PineconeMemory = None - -try: - from .providers.weaviate import WeaviateMemory - - supported_memory.append("weaviate") -except ImportError: - WeaviateMemory = None - -try: - from .providers.milvus import MilvusMemory - - supported_memory.append("milvus") -except ImportError: - MilvusMemory = None - - -def get_memory(cfg: Config, init=False): - memory = None - if cfg.memory_backend == "pinecone": - if not PineconeMemory: - logger.warn( - "Error: Pinecone is not installed. Please install pinecone" - " to use Pinecone as a memory backend." - ) - else: - memory = PineconeMemory(cfg) - if init: - memory.clear() - elif cfg.memory_backend == "redis": - if not RedisMemory: - logger.warn( - "Error: Redis is not installed. Please install redis-py to" - " use Redis as a memory backend." - ) - else: - memory = RedisMemory(cfg) - elif cfg.memory_backend == "weaviate": - if not WeaviateMemory: - logger.warn( - "Error: Weaviate is not installed. Please install weaviate-client to" - " use Weaviate as a memory backend." - ) - else: - memory = WeaviateMemory(cfg) - elif cfg.memory_backend == "milvus": - if not MilvusMemory: - logger.warn( - "Error: pymilvus sdk is not installed." - "Please install pymilvus to use Milvus or Zilliz Cloud as memory backend." - ) - else: - memory = MilvusMemory(cfg) - elif cfg.memory_backend == "no_memory": - memory = NoMemory(cfg) - - if memory is None: - memory = JSONFileMemory(cfg) - if init: - memory.clear() - return memory - - -def get_supported_memory_backends(): - return supported_memory - - -__all__ = [ - "get_memory", - "MemoryItem", - "MemoryProvider", - "JSONFileMemory", - "NoMemory", - "RedisMemory", - "PineconeMemory", - "MilvusMemory", - "WeaviateMemory", -] diff --git a/autogpt/memory/context/__init__.py b/autogpt/memory/context/__init__.py new file mode 100644 index 00000000000..75e5bb6e99f --- /dev/null +++ b/autogpt/memory/context/__init__.py @@ -0,0 +1,115 @@ +from autogpt.config import Config +from autogpt.logs import logger + +from .memory_item import MemoryItem +from .providers import ContextMemoryProvider as ContextMemory +from .providers.json_file import JSONFileMemory +from .providers.no_memory import NoMemory + +# List of supported memory backends +# Add a backend to this list if the import attempt is successful +supported_memory = ["json_file", "no_memory"] + +try: + from .providers.redis import RedisMemory + + supported_memory.append("redis") +except ImportError: + RedisMemory = None + +try: + from .providers.pinecone import PineconeMemory + + supported_memory.append("pinecone") +except ImportError: + PineconeMemory = None + +try: + from .providers.weaviate import WeaviateMemory + + supported_memory.append("weaviate") +except ImportError: + WeaviateMemory = None + +try: + from .providers.milvus import MilvusMemory + + supported_memory.append("milvus") +except ImportError: + MilvusMemory = None + + +def get_memory(cfg: Config, init=False) -> ContextMemory: + memory = None + + match cfg.memory_backend: + case "json_file": + memory = JSONFileMemory(cfg) + + case "pinecone": + if not PineconeMemory: + logger.warn( + "Error: Pinecone is not installed. Please install pinecone" + " to use Pinecone as a memory backend." + ) + else: + memory = PineconeMemory(cfg) + if init: + memory.clear() + + case "redis": + if not RedisMemory: + logger.warn( + "Error: Redis is not installed. Please install redis-py to" + " use Redis as a memory backend." + ) + else: + memory = RedisMemory(cfg) + + case "weaviate": + if not WeaviateMemory: + logger.warn( + "Error: Weaviate is not installed. Please install weaviate-client to" + " use Weaviate as a memory backend." + ) + else: + memory = WeaviateMemory(cfg) + + case "milvus": + if not MilvusMemory: + logger.warn( + "Error: pymilvus sdk is not installed." + "Please install pymilvus to use Milvus or Zilliz Cloud as memory backend." + ) + else: + memory = MilvusMemory(cfg) + + case "no_memory": + memory = NoMemory(cfg) + + case _: + raise ValueError( + f"Unknown memory backend '{cfg.memory_backend}'. Please check your config." + ) + + if memory is None: + memory = JSONFileMemory(cfg) + + return memory + + +def get_supported_memory_backends(): + return supported_memory + + +__all__ = [ + "get_memory", + "MemoryItem", + "ContextMemory", + "JSONFileMemory", + "NoMemory", + "RedisMemory", + "PineconeMemory", + "MilvusMemory", + "WeaviateMemory", +] diff --git a/autogpt/memory/memory_item.py b/autogpt/memory/context/memory_item.py similarity index 100% rename from autogpt/memory/memory_item.py rename to autogpt/memory/context/memory_item.py diff --git a/autogpt/memory/context/providers/__init__.py b/autogpt/memory/context/providers/__init__.py new file mode 100644 index 00000000000..0dd8a87578d --- /dev/null +++ b/autogpt/memory/context/providers/__init__.py @@ -0,0 +1,64 @@ +from __future__ import annotations + +import abc + +from autogpt.config import Config +from autogpt.logs import logger +from autogpt.singleton import AbstractSingleton + +from ..memory_item import MemoryItem +from .json_file import JSONFileMemory +from .no_memory import NoMemory +from .pinecone import PineconeMemory +from .redis import RedisMemory + + +class ContextMemoryProvider(AbstractSingleton): + @abc.abstractmethod + def add(self, item: MemoryItem): + """Adds a MemoryItem to the memory index""" + pass + + @abc.abstractmethod + def get(self, query: str) -> MemoryItem | None: + """Gets an item from memory based on the query""" + pass + + @abc.abstractmethod + def get_relevant(self, query: str, num_relevant=5) -> list[MemoryItem]: + """Gets relevant memory items for the query""" + pass + + @abc.abstractmethod + def clear(self) -> None: + """Clears memory""" + pass + + @abc.abstractmethod + def get_stats(self): + """Get stats from memory""" + pass + + +__all__ = [ + "ContextMemoryProvider", + "JSONFileMemory", + "NoMemory", + "PineconeMemory", + "RedisMemory", +] + +# add backends requiring libraries that are not installed by default +try: + from .milvus import MilvusMemory + + __all__.append("MilvusMemory") +except ImportError: + pass + +try: + from .weaviate import WeaviateMemory + + __all__.append("WeaviateMemory") +except ImportError: + pass diff --git a/autogpt/memory/providers/json_file.py b/autogpt/memory/context/providers/json_file.py similarity index 97% rename from autogpt/memory/providers/json_file.py rename to autogpt/memory/context/providers/json_file.py index 99fad04f1f0..2dc1e3a46b8 100644 --- a/autogpt/memory/providers/json_file.py +++ b/autogpt/memory/context/providers/json_file.py @@ -10,11 +10,11 @@ from autogpt.logs import logger from ..memory_item import MemoryItem -from ..provider import MemoryProvider from ..utils import Embedding, get_embedding +from . import ContextMemoryProvider -class JSONFileMemory(MemoryProvider): +class JSONFileMemory(ContextMemoryProvider): """Memory backend that stores memories in a JSON file""" SAVE_OPTIONS = orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_SERIALIZE_DATACLASS diff --git a/autogpt/memory/providers/milvus.py b/autogpt/memory/context/providers/milvus.py similarity index 98% rename from autogpt/memory/providers/milvus.py rename to autogpt/memory/context/providers/milvus.py index f21ad679869..b6a2dfde4ba 100644 --- a/autogpt/memory/providers/milvus.py +++ b/autogpt/memory/context/providers/milvus.py @@ -6,10 +6,10 @@ from autogpt.config import Config from autogpt.llm import get_ada_embedding -from ..provider import MemoryProvider +from . import ContextMemoryProvider -class MilvusMemory(MemoryProvider): +class MilvusMemory(ContextMemoryProvider): """Milvus memory storage provider.""" def __init__(self, cfg: Config) -> None: diff --git a/autogpt/memory/providers/no_memory.py b/autogpt/memory/context/providers/no_memory.py similarity index 95% rename from autogpt/memory/providers/no_memory.py rename to autogpt/memory/context/providers/no_memory.py index 5f1b20e0cb7..394fcd209a0 100644 --- a/autogpt/memory/providers/no_memory.py +++ b/autogpt/memory/context/providers/no_memory.py @@ -4,10 +4,10 @@ from typing import Any from .. import MemoryItem -from ..provider import MemoryProvider +from . import ContextMemoryProvider -class NoMemory(MemoryProvider): +class NoMemory(ContextMemoryProvider): """ A class that does not store any data. This is the default memory provider. """ diff --git a/autogpt/memory/providers/pinecone.py b/autogpt/memory/context/providers/pinecone.py similarity index 97% rename from autogpt/memory/providers/pinecone.py rename to autogpt/memory/context/providers/pinecone.py index e15e9d71d1e..9501ca20828 100644 --- a/autogpt/memory/providers/pinecone.py +++ b/autogpt/memory/context/providers/pinecone.py @@ -4,10 +4,10 @@ from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from ..provider import MemoryProvider +from . import ContextMemoryProvider -class PineconeMemory(MemoryProvider): +class PineconeMemory(ContextMemoryProvider): def __init__(self, cfg): pinecone_api_key = cfg.pinecone_api_key pinecone_region = cfg.pinecone_region diff --git a/autogpt/memory/providers/redis.py b/autogpt/memory/context/providers/redis.py similarity index 98% rename from autogpt/memory/providers/redis.py rename to autogpt/memory/context/providers/redis.py index de2af6663cf..70b3417a801 100644 --- a/autogpt/memory/providers/redis.py +++ b/autogpt/memory/context/providers/redis.py @@ -16,11 +16,11 @@ from autogpt.logs import logger from ..memory_item import MemoryItem -from ..provider import MemoryProvider from ..utils import Embedding, get_embedding +from . import ContextMemoryProvider -class RedisMemory(MemoryProvider): +class RedisMemory(ContextMemoryProvider): cfg: Config redis: redis.Redis diff --git a/autogpt/memory/providers/weaviate.py b/autogpt/memory/context/providers/weaviate.py similarity index 98% rename from autogpt/memory/providers/weaviate.py rename to autogpt/memory/context/providers/weaviate.py index 04736051628..c7c3107a786 100644 --- a/autogpt/memory/providers/weaviate.py +++ b/autogpt/memory/context/providers/weaviate.py @@ -6,7 +6,7 @@ from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from ..provider import MemoryProvider +from . import ContextMemoryProvider def default_schema(weaviate_index): @@ -22,7 +22,7 @@ def default_schema(weaviate_index): } -class WeaviateMemory(MemoryProvider): +class WeaviateMemory(ContextMemoryProvider): def __init__(self, cfg): auth_credentials = self._build_auth_credentials(cfg) diff --git a/autogpt/memory/utils.py b/autogpt/memory/context/utils.py similarity index 100% rename from autogpt/memory/utils.py rename to autogpt/memory/context/utils.py diff --git a/autogpt/memory/history.py b/autogpt/memory/history.py new file mode 100644 index 00000000000..8beb56af018 --- /dev/null +++ b/autogpt/memory/history.py @@ -0,0 +1,185 @@ +import copy +import json + +from autogpt.agent import Agent +from autogpt.config import Config +from autogpt.json_utils.utilities import ( + LLM_DEFAULT_RESPONSE_FORMAT, + is_string_valid_json, +) +from autogpt.llm.base import Message +from autogpt.llm.llm_utils import create_chat_completion +from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME +from autogpt.logs import logger +from autogpt.memory.context import ContextMemory + + +class MessageHistory: + agent: Agent + + messages: list[Message] + summary: str + + last_memory_index: int + + def __init__(self, agent: Agent): + self.agent = agent + self.messages = [] + self.summary = "I was created." + self.last_memory_index = 0 + + def add(self, message: Message): + self.messages.append(message) + + def get_trimmed_messages( + self, + current_message_chain: list[Message], + ) -> list[Message]: + """ + Returns a list of trimmed messages: messages which are in the message history + but not in current_message_chain. + + Args: + current_message_chain (list): The messages currently in the context. + + Returns: + list: A list of messages that are in full_message_history with an index higher than last_memory_index and absent from current_context. + """ + # Select messages in full_message_history with an index higher than last_memory_index + new_messages = [ + msg for i, msg in enumerate(self.messages) if i > self.last_memory_index + ] + + # Remove messages that are already present in current_message_chain + new_messages_not_in_chain = [ + msg for msg in new_messages if msg not in current_message_chain + ] + + # Find the index of the last message processed + if new_messages_not_in_chain: + last_message = new_messages_not_in_chain[-1] + self.last_memory_index = self.messages.index(last_message) + + return new_messages_not_in_chain + + def save_memory_trimmed_from_context_window( + self, + next_message_to_add_index: int, + permanent_memory: ContextMemory, + ): + while next_message_to_add_index >= 0: + message_content = self.messages[next_message_to_add_index]["content"] + if is_string_valid_json(message_content, LLM_DEFAULT_RESPONSE_FORMAT): + next_message = self.messages[next_message_to_add_index + 1] + memory_to_add = self.format_memory( + message_content, next_message["content"] + ) + logger.debug(f"Storing the following memory: {memory_to_add}") + permanent_memory.add(memory_to_add) + + next_message_to_add_index -= 1 + + def format_memory(self, assistant_reply: str, next_message_content: str): + # the next_message_content is a variable to stores either the user_input or the command following the assistant_reply + result = ( + "None" + if next_message_content.startswith("Command") + else next_message_content + ) + user_input = ( + "None" + if next_message_content.startswith("Human feedback") + else next_message_content + ) + + return f"Assistant Reply: {assistant_reply}\nResult: {result}\nHuman Feedback:{user_input}" + + def summary_message(self) -> Message: + return { + "role": "system", + "content": f"This reminds you of these events from your past: \n{self.summary}", + } + + def update_running_summary(self, new_events: list[Message]) -> Message: + """ + This function takes a list of dictionaries representing new events and combines them with the current summary, + focusing on key and potentially important information to remember. The updated summary is returned in a message + formatted in the 1st person past tense. + + Args: + new_events (List[Dict]): A list of dictionaries containing the latest events to be added to the summary. + + Returns: + str: A message containing the updated summary of actions, formatted in the 1st person past tense. + + Example: + new_events = [{"event": "entered the kitchen."}, {"event": "found a scrawled note with the number 7"}] + update_running_summary(new_events) + # Returns: "This reminds you of these events from your past: \nI entered the kitchen and found a scrawled note saying 7." + """ + cfg = Config() + + if not new_events: + return self.summary_message() + + # Create a copy of the new_events list to prevent modifying the original list + new_events = copy.deepcopy(new_events) + + # Replace "assistant" with "you". This produces much better first person past tense results. + for event in new_events: + if event["role"].lower() == "assistant": + event["role"] = "you" + + # Remove "thoughts" dictionary from "content" + content_dict = json.loads(event["content"]) + if "thoughts" in content_dict: + del content_dict["thoughts"] + event["content"] = json.dumps(content_dict) + + elif event["role"].lower() == "system": + event["role"] = "your computer" + + # Delete all user messages + elif event["role"] == "user": + new_events.remove(event) + + prompt = f'''Your task is to create a concise running summary of actions and information results in the provided text, focusing on key and potentially important information to remember. + + You will receive the current summary and the your latest actions. Combine them, adding relevant key information from the latest development in 1st person past tense and keeping the summary concise. + + Summary So Far: + """ + {self.summary} + """ + + Latest Development: + """ + {new_events or "Nothing new happened."} + """ + ''' + + messages: list[Message] = [ + { + "role": "user", + "content": prompt, + } + ] + self.agent.log_cycle_handler.log_cycle( + self.agent.config.ai_name, + self.agent.created_at, + self.agent.cycle_count, + messages, + PROMPT_SUMMARY_FILE_NAME, + ) + + self.summary = create_chat_completion(messages, cfg.fast_llm_model) + + self.agent.log_cycle_handler.log_cycle( + self.agent.config.ai_name, + self.agent.created_at, + self.agent.cycle_count, + self.summary, + SUMMARY_FILE_NAME, + ) + + return self.summary_message() diff --git a/autogpt/memory/provider.py b/autogpt/memory/provider.py deleted file mode 100644 index 9af9a43f73e..00000000000 --- a/autogpt/memory/provider.py +++ /dev/null @@ -1,33 +0,0 @@ -"""Base class for memory providers.""" -import abc - -from autogpt.singleton import AbstractSingleton - -from .memory_item import MemoryItem - - -class MemoryProvider(AbstractSingleton): - @abc.abstractmethod - def add(self, item: MemoryItem): - """Adds a MemoryItem to the memory index""" - pass - - @abc.abstractmethod - def get(self, query: str) -> MemoryItem | None: - """Gets an item from memory based on the query""" - pass - - @abc.abstractmethod - def get_relevant(self, query: str, num_relevant=5) -> list[MemoryItem]: - """Gets relevant memory items for the query""" - pass - - @abc.abstractmethod - def clear(self) -> None: - """Clears memory""" - pass - - @abc.abstractmethod - def get_stats(self): - """Get stats from memory""" - pass diff --git a/autogpt/memory/providers/__init__.py b/autogpt/memory/providers/__init__.py deleted file mode 100644 index ea3ab566066..00000000000 --- a/autogpt/memory/providers/__init__.py +++ /dev/null @@ -1,26 +0,0 @@ -from .json_file import JSONFileMemory -from .no_memory import NoMemory -from .pinecone import PineconeMemory -from .redis import RedisMemory - -__all__ = [ - "JSONFileMemory", - "NoMemory", - "PineconeMemory", - "RedisMemory", -] - -# add backends requiring libraries that are not installed by default -try: - from .milvus import MilvusMemory - - __all__.append("MilvusMemory") -except ImportError: - pass - -try: - from .weaviate import WeaviateMemory - - __all__.append("WeaviateMemory") -except ImportError: - pass diff --git a/autogpt/memory_management/store_memory.py b/autogpt/memory_management/store_memory.py deleted file mode 100644 index e37434ef5ea..00000000000 --- a/autogpt/memory_management/store_memory.py +++ /dev/null @@ -1,33 +0,0 @@ -from autogpt.json_utils.utilities import ( - LLM_DEFAULT_RESPONSE_FORMAT, - is_string_valid_json, -) -from autogpt.logs import logger - - -def format_memory(assistant_reply, next_message_content): - # the next_message_content is a variable to stores either the user_input or the command following the assistant_reply - result = ( - "None" if next_message_content.startswith("Command") else next_message_content - ) - user_input = ( - "None" - if next_message_content.startswith("Human feedback") - else next_message_content - ) - - return f"Assistant Reply: {assistant_reply}\nResult: {result}\nHuman Feedback:{user_input}" - - -def save_memory_trimmed_from_context_window( - full_message_history, next_message_to_add_index, permanent_memory -): - while next_message_to_add_index >= 0: - message_content = full_message_history[next_message_to_add_index]["content"] - if is_string_valid_json(message_content, LLM_DEFAULT_RESPONSE_FORMAT): - next_message = full_message_history[next_message_to_add_index + 1] - memory_to_add = format_memory(message_content, next_message["content"]) - logger.debug(f"Storing the following memory: {memory_to_add}") - permanent_memory.add(memory_to_add) - - next_message_to_add_index -= 1 diff --git a/autogpt/memory_management/summary_memory.py b/autogpt/memory_management/summary_memory.py deleted file mode 100644 index 5d1c9f19861..00000000000 --- a/autogpt/memory_management/summary_memory.py +++ /dev/null @@ -1,134 +0,0 @@ -import copy -import json - -from autogpt.agent import Agent -from autogpt.config import Config -from autogpt.llm.base import Message -from autogpt.llm.llm_utils import create_chat_completion -from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME - -cfg = Config() - - -def get_newly_trimmed_messages( - full_message_history: list[Message], - current_context: list[Message], - last_memory_index: int, -) -> tuple[list[Message], int]: - """ - This function returns a list of dictionaries contained in full_message_history - with an index higher than prev_index that are absent from current_context. - - Args: - full_message_history (list): A list of dictionaries representing the full message history. - current_context (list): A list of dictionaries representing the current context. - last_memory_index (int): An integer representing the previous index. - - Returns: - list: A list of dictionaries that are in full_message_history with an index higher than last_memory_index and absent from current_context. - int: The new index value for use in the next loop. - """ - # Select messages in full_message_history with an index higher than last_memory_index - new_messages = [ - msg for i, msg in enumerate(full_message_history) if i > last_memory_index - ] - - # Remove messages that are already present in current_context - new_messages_not_in_context = [ - msg for msg in new_messages if msg not in current_context - ] - - # Find the index of the last message processed - new_index = last_memory_index - if new_messages_not_in_context: - last_message = new_messages_not_in_context[-1] - new_index = full_message_history.index(last_message) - - return new_messages_not_in_context, new_index - - -def update_running_summary( - agent: Agent, current_summary: str, new_events: list[Message] -) -> Message: - """ - This function takes a list of dictionaries representing new events and combines them with the current summary, - focusing on key and potentially important information to remember. The updated summary is returned in a message - formatted in the 1st person past tense. - - Args: - new_events (List[Dict]): A list of dictionaries containing the latest events to be added to the summary. - - Returns: - str: A message containing the updated summary of actions, formatted in the 1st person past tense. - - Example: - new_events = [{"event": "entered the kitchen."}, {"event": "found a scrawled note with the number 7"}] - update_running_summary(new_events) - # Returns: "This reminds you of these events from your past: \nI entered the kitchen and found a scrawled note saying 7." - """ - # Create a copy of the new_events list to prevent modifying the original list - new_events = copy.deepcopy(new_events) - - # Replace "assistant" with "you". This produces much better first person past tense results. - for event in new_events: - if event["role"].lower() == "assistant": - event["role"] = "you" - - # Remove "thoughts" dictionary from "content" - content_dict = json.loads(event["content"]) - if "thoughts" in content_dict: - del content_dict["thoughts"] - event["content"] = json.dumps(content_dict) - - elif event["role"].lower() == "system": - event["role"] = "your computer" - - # Delete all user messages - elif event["role"] == "user": - new_events.remove(event) - - prompt = f'''Your task is to create a concise running summary of actions and information results in the provided text, focusing on key and potentially important information to remember. - -You will receive the current summary and the your latest actions. Combine them, adding relevant key information from the latest development in 1st person past tense and keeping the summary concise. - -Summary So Far: -""" -{current_summary} -""" - -Latest Development: -""" -{new_events or "Nothing new happened."} -""" -''' - - messages: list[Message] = [ - { - "role": "user", - "content": prompt, - } - ] - agent.log_cycle_handler.log_cycle( - agent.config.ai_name, - agent.created_at, - agent.cycle_count, - messages, - PROMPT_SUMMARY_FILE_NAME, - ) - - current_summary = create_chat_completion(messages, cfg.fast_llm_model) - - agent.log_cycle_handler.log_cycle( - agent.config.ai_name, - agent.created_at, - agent.cycle_count, - current_summary, - SUMMARY_FILE_NAME, - ) - - message_to_return: Message = { - "role": "system", - "content": f"This reminds you of these events from your past: \n{current_summary}", - } - - return message_to_return diff --git a/data_ingestion.py b/data_ingestion.py index c907cedf45c..ef55d704c29 100644 --- a/data_ingestion.py +++ b/data_ingestion.py @@ -3,7 +3,7 @@ from autogpt.commands.file_operations import ingest_file, list_files from autogpt.config import Config -from autogpt.memory import get_memory +from autogpt.memory.context import ContextMemory, get_memory cfg = Config() @@ -21,14 +21,14 @@ def configure_logging(): return logging.getLogger("AutoGPT-Ingestion") -def ingest_directory(directory, memory, args): +def ingest_directory(directory: str, memory: ContextMemory, args): """ Ingest all files in a directory by calling the ingest_file function for each file. :param directory: The directory containing the files to ingest :param memory: An object with an add() method to store the chunks in memory """ - global logger + logger = logging.getLogger("AutoGPT-Ingestion") try: files = list_files(directory) for file in files: diff --git a/docs/configuration/memory.md b/docs/configuration/memory.md index 7d7075986f0..a67ca2f5119 100644 --- a/docs/configuration/memory.md +++ b/docs/configuration/memory.md @@ -6,7 +6,7 @@ Otherwise, the default is LocalCache (which stores memory in a JSON file). To switch to a different backend, change the `MEMORY_BACKEND` in `.env` to the value that you want: -* `local` uses a local JSON cache file +* `json_file` uses a local JSON cache file * `pinecone` uses the Pinecone.io account you configured in your ENV settings * `redis` will use the redis cache that you configured * `milvus` will use the milvus cache that you configured diff --git a/tests/integration/agent_factory.py b/tests/integration/agent_factory.py index ccaba4b7c19..0db126fb702 100644 --- a/tests/integration/agent_factory.py +++ b/tests/integration/agent_factory.py @@ -3,7 +3,7 @@ from autogpt.agent import Agent from autogpt.commands.command import CommandRegistry from autogpt.config import AIConfig, Config -from autogpt.memory import JSONFileMemory, NoMemory, get_memory +from autogpt.memory.context import NoMemory, get_memory from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT from autogpt.workspace import Workspace @@ -23,7 +23,7 @@ def agent_test_config(config: Config): def memory_local_cache(agent_test_config: Config): was_memory_backend = agent_test_config.memory_backend - agent_test_config.set_memory_backend("local_cache") + agent_test_config.set_memory_backend("json_file") yield get_memory(agent_test_config, init=True) agent_test_config.set_memory_backend(was_memory_backend) @@ -64,7 +64,6 @@ def browser_agent(agent_test_config, memory_none: NoMemory, workspace: Workspace agent = Agent( ai_name="", memory=memory_none, - full_message_history=[], command_registry=command_registry, config=ai_config, next_action_count=0, @@ -103,7 +102,6 @@ def writer_agent(agent_test_config, memory_none: NoMemory, workspace: Workspace) agent = Agent( ai_name="", memory=memory_none, - full_message_history=[], command_registry=command_registry, config=ai_config, next_action_count=0, @@ -139,7 +137,6 @@ def memory_management_agent( agent = Agent( ai_name="", memory=memory_local_cache, - full_message_history=[], command_registry=command_registry, config=ai_config, next_action_count=0, diff --git a/tests/integration/milvus_memory_tests.py b/tests/integration/milvus_memory_tests.py index 99dcb30e0a2..97a590e191d 100644 --- a/tests/integration/milvus_memory_tests.py +++ b/tests/integration/milvus_memory_tests.py @@ -5,7 +5,7 @@ import unittest from autogpt.config import Config -from autogpt.memory.providers import MilvusMemory +from autogpt.memory.context import MilvusMemory try: diff --git a/tests/integration/test_memory_management.py b/tests/integration/test_history_memory.py similarity index 89% rename from tests/integration/test_memory_management.py rename to tests/integration/test_history_memory.py index c9ab9fc9481..ca7ddda3a8f 100644 --- a/tests/integration/test_memory_management.py +++ b/tests/integration/test_history_memory.py @@ -3,10 +3,8 @@ import pytest from autogpt.config import Config -from autogpt.memory import get_memory -from autogpt.memory_management.store_memory import ( - save_memory_trimmed_from_context_window, -) +from autogpt.memory.context import get_memory +from autogpt.memory.history import MessageHistory from tests.utils import requires_api_key @@ -56,7 +54,7 @@ def test_save_memory_trimmed_from_context_window( ): next_message_to_add_index = len(message_history_fixture) - 1 memory = get_memory(config, init=True) - save_memory_trimmed_from_context_window( + MessageHistory().save_memory_trimmed_from_context_window( message_history_fixture, next_message_to_add_index, memory ) diff --git a/tests/integration/test_json_file_memory.py b/tests/integration/test_json_file_memory.py index eb2b0013563..f9fb6b4ce04 100644 --- a/tests/integration/test_json_file_memory.py +++ b/tests/integration/test_json_file_memory.py @@ -5,11 +5,10 @@ import pytest from pytest_mock import MockerFixture -import autogpt.memory.providers.json_file as json_file_memory +import autogpt.memory.context.providers.json_file as json_file_memory from autogpt.config import Config -from autogpt.memory.memory_item import MemoryItem -from autogpt.memory.providers import JSONFileMemory -from autogpt.memory.utils import Embedding +from autogpt.memory.context import JSONFileMemory, MemoryItem +from autogpt.memory.context.utils import Embedding from autogpt.workspace import Workspace from tests.utils import requires_api_key diff --git a/tests/integration/weaviate_memory_tests.py b/tests/integration/weaviate_memory_tests.py index 8eb4b59c115..73e7995f529 100644 --- a/tests/integration/weaviate_memory_tests.py +++ b/tests/integration/weaviate_memory_tests.py @@ -6,7 +6,7 @@ from autogpt.config import Config from autogpt.llm import get_ada_embedding -from autogpt.memory.providers import WeaviateMemory +from autogpt.memory.context import WeaviateMemory class TestWeaviateMemory(unittest.TestCase): diff --git a/tests/test_agent.py b/tests/test_agent.py index e8596731592..1f7866817eb 100644 --- a/tests/test_agent.py +++ b/tests/test_agent.py @@ -3,17 +3,16 @@ import pytest from autogpt.agent import Agent -from autogpt.config import Config +from autogpt.config import AIConfig @pytest.fixture def agent(): ai_name = "Test AI" memory = MagicMock() - full_message_history = [] next_action_count = 0 command_registry = MagicMock() - config = Config() + config = AIConfig() system_prompt = "System prompt" triggering_prompt = "Triggering prompt" workspace_directory = "workspace_directory" @@ -21,7 +20,6 @@ def agent(): agent = Agent( ai_name, memory, - full_message_history, next_action_count, command_registry, config, @@ -35,7 +33,7 @@ def agent(): def test_agent_initialization(agent): assert agent.ai_name == "Test AI" assert agent.memory == agent.memory - assert agent.full_message_history == [] + assert agent.history_memory.messages == [] assert agent.next_action_count == 0 assert agent.command_registry == agent.command_registry assert agent.config == agent.config diff --git a/tests/test_agent_manager.py b/tests/test_agent_manager.py index e7e696ae5cd..c5a776e7d28 100644 --- a/tests/test_agent_manager.py +++ b/tests/test_agent_manager.py @@ -18,7 +18,7 @@ def task(): @pytest.fixture -def prompt(): +def system_prompt(): return "Translate the following English text to French: 'Hello, how are you?'" From 1ca6c1de8dc5d237113db64fd0c62448a272719e Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Sat, 13 May 2023 17:34:24 +0200 Subject: [PATCH 07/54] Fix imports --- autogpt/agent/__init__.py | 4 +- autogpt/app.py | 13 ++++--- autogpt/llm/chat.py | 34 ++++++----------- autogpt/main.py | 2 +- autogpt/memory/context/providers/__init__.py | 38 +------------------ autogpt/memory/context/providers/abstract.py | 31 +++++++++++++++ autogpt/memory/context/providers/json_file.py | 2 +- autogpt/memory/context/providers/milvus.py | 2 +- autogpt/memory/context/providers/no_memory.py | 2 +- autogpt/memory/context/providers/pinecone.py | 16 ++++---- autogpt/memory/context/providers/redis.py | 3 +- autogpt/memory/context/providers/weaviate.py | 2 +- autogpt/memory/history.py | 9 ++++- 13 files changed, 74 insertions(+), 84 deletions(-) create mode 100644 autogpt/memory/context/providers/abstract.py diff --git a/autogpt/agent/__init__.py b/autogpt/agent/__init__.py index e928af2205b..c1a51fb09ec 100644 --- a/autogpt/agent/__init__.py +++ b/autogpt/agent/__init__.py @@ -1,4 +1,4 @@ -from autogpt.agent.agent import Agent -from autogpt.agent.agent_manager import AgentManager +from .agent import Agent +from .agent_manager import AgentManager __all__ = ["Agent", "AgentManager"] diff --git a/autogpt/app.py b/autogpt/app.py index 92beca6d174..42f45a7de19 100644 --- a/autogpt/app.py +++ b/autogpt/app.py @@ -14,7 +14,6 @@ from autogpt.url_utils.validators import validate_url CFG = Config() -AGENT_MANAGER = AgentManager() def is_valid_int(value: str) -> bool: @@ -187,6 +186,8 @@ def start_agent(name: str, task: str, prompt: str, model=CFG.fast_llm_model) -> Returns: str: The response of the agent """ + agent_manager = AgentManager() + # Remove underscores from name voice_name = name.replace("_", " ") @@ -196,13 +197,13 @@ def start_agent(name: str, task: str, prompt: str, model=CFG.fast_llm_model) -> # Create agent if CFG.speak_mode: say_text(agent_intro, 1) - key, ack = AGENT_MANAGER.create_agent(task, first_message, model) + key, ack = agent_manager.create_agent(task, first_message, model) if CFG.speak_mode: say_text(f"Hello {voice_name}. Your task is as follows. {task}.") # Assign task (prompt), get response - agent_response = AGENT_MANAGER.message_agent(key, prompt) + agent_response = agent_manager.message_agent(key, prompt) return f"Agent {name} created with key {key}. First response: {agent_response}" @@ -212,7 +213,7 @@ def message_agent(key: str, message: str) -> str: """Message an agent with a given key and message""" # Check if the key is a valid integer if is_valid_int(key): - agent_response = AGENT_MANAGER.message_agent(int(key), message) + agent_response = AgentManager().message_agent(int(key), message) else: return "Invalid key, must be an integer." @@ -230,7 +231,7 @@ def list_agents() -> str: str: A list of all agents """ return "List of agents:\n" + "\n".join( - [str(x[0]) + ": " + x[1] for x in AGENT_MANAGER.list_agents()] + [str(x[0]) + ": " + x[1] for x in AgentManager().list_agents()] ) @@ -244,5 +245,5 @@ def delete_agent(key: str) -> str: Returns: str: A message indicating whether the agent was deleted or not """ - result = AGENT_MANAGER.delete_agent(key) + result = AgentManager().delete_agent(key) return f"Agent {key} deleted." if result else f"Agent {key} does not exist." diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index f2e96e37c7e..4d8532d121b 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -1,7 +1,6 @@ import time from random import shuffle -from autogpt.agent.agent import Agent from autogpt.config import Config from autogpt.llm.api_manager import ApiManager from autogpt.llm.base import Message @@ -60,7 +59,7 @@ def generate_context( # TODO: Change debug from hardcode to argument def chat_with_ai( - agent: Agent, + agent, system_prompt: str, user_input: str, token_limit: int, @@ -101,9 +100,7 @@ def chat_with_ai( current_tokens_used, insertion_index, message_chain, - ) = generate_context( - system_prompt, relevant_memory, agent.history.messages, model - ) + ) = generate_context(system_prompt, relevant_memory, agent.history.messages, model) # while current_tokens_used > 2500: # # remove memories until we are under 2500 tokens @@ -157,22 +154,17 @@ def chat_with_ai( api_manager = ApiManager() # inform the AI about its remaining budget (if it has one) if api_manager.get_total_budget() > 0.0: - remaining_budget = ( - api_manager.get_total_budget() - api_manager.get_total_cost() - ) + remaining_budget = api_manager.get_total_budget() - api_manager.get_total_cost() if remaining_budget < 0: remaining_budget = 0 - budget_message = ( - f"Your remaining API budget is ${remaining_budget:.3f}" - + ( - " BUDGET EXCEEDED! SHUT DOWN!\n\n" - if remaining_budget == 0 - else " Budget very nearly exceeded! Shut down gracefully!\n\n" - if remaining_budget < 0.005 - else " Budget nearly exceeded. Finish up.\n\n" - if remaining_budget < 0.01 - else "\n\n" - ) + budget_message = f"Your remaining API budget is ${remaining_budget:.3f}" + ( + " BUDGET EXCEEDED! SHUT DOWN!\n\n" + if remaining_budget == 0 + else " Budget very nearly exceeded! Shut down gracefully!\n\n" + if remaining_budget < 0.005 + else " Budget nearly exceeded. Finish up.\n\n" + if remaining_budget < 0.01 + else "\n\n" ) logger.debug(budget_message) message_chain.append(create_chat_message("system", budget_message)) @@ -193,9 +185,7 @@ def chat_with_ai( [create_chat_message("system", plugin_response)], model ) if current_tokens_used + tokens_to_add > send_token_limit: - logger.debug( - f"Plugin response too long, skipping: {plugin_response}" - ) + logger.debug(f"Plugin response too long, skipping: {plugin_response}") logger.debug(f"Plugins remaining at stop: {plugin_count - i}") break message_chain.append(create_chat_message("system", plugin_response)) diff --git a/autogpt/main.py b/autogpt/main.py index 9745acc7991..6b49d2bac4e 100644 --- a/autogpt/main.py +++ b/autogpt/main.py @@ -5,7 +5,7 @@ from colorama import Fore, Style -from autogpt.agent.agent import Agent +from autogpt.agent import Agent from autogpt.commands.command import CommandRegistry from autogpt.config import Config, check_openai_api_key from autogpt.configurator import create_config diff --git a/autogpt/memory/context/providers/__init__.py b/autogpt/memory/context/providers/__init__.py index 0dd8a87578d..23c15294f63 100644 --- a/autogpt/memory/context/providers/__init__.py +++ b/autogpt/memory/context/providers/__init__.py @@ -1,45 +1,9 @@ -from __future__ import annotations - -import abc - -from autogpt.config import Config -from autogpt.logs import logger -from autogpt.singleton import AbstractSingleton - -from ..memory_item import MemoryItem +from .abstract import ContextMemoryProvider from .json_file import JSONFileMemory from .no_memory import NoMemory from .pinecone import PineconeMemory from .redis import RedisMemory - -class ContextMemoryProvider(AbstractSingleton): - @abc.abstractmethod - def add(self, item: MemoryItem): - """Adds a MemoryItem to the memory index""" - pass - - @abc.abstractmethod - def get(self, query: str) -> MemoryItem | None: - """Gets an item from memory based on the query""" - pass - - @abc.abstractmethod - def get_relevant(self, query: str, num_relevant=5) -> list[MemoryItem]: - """Gets relevant memory items for the query""" - pass - - @abc.abstractmethod - def clear(self) -> None: - """Clears memory""" - pass - - @abc.abstractmethod - def get_stats(self): - """Get stats from memory""" - pass - - __all__ = [ "ContextMemoryProvider", "JSONFileMemory", diff --git a/autogpt/memory/context/providers/abstract.py b/autogpt/memory/context/providers/abstract.py new file mode 100644 index 00000000000..e724f4f477a --- /dev/null +++ b/autogpt/memory/context/providers/abstract.py @@ -0,0 +1,31 @@ +import abc + +from autogpt.memory.context import MemoryItem +from autogpt.singleton import AbstractSingleton + + +class ContextMemoryProvider(AbstractSingleton): + @abc.abstractmethod + def add(self, item: MemoryItem): + """Adds a MemoryItem to the memory index""" + pass + + @abc.abstractmethod + def get(self, query: str) -> MemoryItem | None: + """Gets an item from memory based on the query""" + pass + + @abc.abstractmethod + def get_relevant(self, query: str, num_relevant=5) -> list[MemoryItem]: + """Gets relevant memory items for the query""" + pass + + @abc.abstractmethod + def clear(self) -> None: + """Clears memory""" + pass + + @abc.abstractmethod + def get_stats(self): + """Get stats from memory""" + pass diff --git a/autogpt/memory/context/providers/json_file.py b/autogpt/memory/context/providers/json_file.py index 2dc1e3a46b8..3674f466495 100644 --- a/autogpt/memory/context/providers/json_file.py +++ b/autogpt/memory/context/providers/json_file.py @@ -11,7 +11,7 @@ from ..memory_item import MemoryItem from ..utils import Embedding, get_embedding -from . import ContextMemoryProvider +from .abstract import ContextMemoryProvider class JSONFileMemory(ContextMemoryProvider): diff --git a/autogpt/memory/context/providers/milvus.py b/autogpt/memory/context/providers/milvus.py index b6a2dfde4ba..400a9367254 100644 --- a/autogpt/memory/context/providers/milvus.py +++ b/autogpt/memory/context/providers/milvus.py @@ -6,7 +6,7 @@ from autogpt.config import Config from autogpt.llm import get_ada_embedding -from . import ContextMemoryProvider +from .abstract import ContextMemoryProvider class MilvusMemory(ContextMemoryProvider): diff --git a/autogpt/memory/context/providers/no_memory.py b/autogpt/memory/context/providers/no_memory.py index 394fcd209a0..6b294aa9366 100644 --- a/autogpt/memory/context/providers/no_memory.py +++ b/autogpt/memory/context/providers/no_memory.py @@ -4,7 +4,7 @@ from typing import Any from .. import MemoryItem -from . import ContextMemoryProvider +from .abstract import ContextMemoryProvider class NoMemory(ContextMemoryProvider): diff --git a/autogpt/memory/context/providers/pinecone.py b/autogpt/memory/context/providers/pinecone.py index 9501ca20828..e6fd02b8d98 100644 --- a/autogpt/memory/context/providers/pinecone.py +++ b/autogpt/memory/context/providers/pinecone.py @@ -1,10 +1,10 @@ import pinecone from colorama import Fore, Style -from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from . import ContextMemoryProvider +from ..utils import get_embedding +from .abstract import ContextMemoryProvider class PineconeMemory(ContextMemoryProvider): @@ -47,8 +47,8 @@ def __init__(self, cfg): ) self.index = pinecone.Index(table_name) - def add(self, data): - vector = get_ada_embedding(data) + def add(self, data: str): + vector = get_embedding(data) # no metadata here. We may wish to change that long term. self.index.upsert([(str(self.vec_num), vector, {"raw_text": data})]) _text = f"Inserting data into memory at index: {self.vec_num}:\n data: {data}" @@ -62,13 +62,13 @@ def clear(self): self.index.delete(deleteAll=True) return "Obliviated" - def get_relevant(self, data, num_relevant=5): + def get_relevant(self, query: str, num_relevant=5): """ - Returns all the data in the memory that is relevant to the given data. - :param data: The data to compare to. + Returns all the data in the memory that is relevant to the given query. + :param query: The query to compare to. :param num_relevant: The number of relevant data to return. Defaults to 5 """ - query_embedding = get_ada_embedding(data) + query_embedding = get_embedding(query) results = self.index.query( query_embedding, top_k=num_relevant, include_metadata=True ) diff --git a/autogpt/memory/context/providers/redis.py b/autogpt/memory/context/providers/redis.py index 70b3417a801..07f0c74a3b3 100644 --- a/autogpt/memory/context/providers/redis.py +++ b/autogpt/memory/context/providers/redis.py @@ -12,12 +12,11 @@ from redis.commands.search.query import Query from autogpt.config import Config -from autogpt.llm import get_ada_embedding from autogpt.logs import logger from ..memory_item import MemoryItem from ..utils import Embedding, get_embedding -from . import ContextMemoryProvider +from .abstract import ContextMemoryProvider class RedisMemory(ContextMemoryProvider): diff --git a/autogpt/memory/context/providers/weaviate.py b/autogpt/memory/context/providers/weaviate.py index c7c3107a786..132a1173b9d 100644 --- a/autogpt/memory/context/providers/weaviate.py +++ b/autogpt/memory/context/providers/weaviate.py @@ -6,7 +6,7 @@ from autogpt.llm import get_ada_embedding from autogpt.logs import logger -from . import ContextMemoryProvider +from .abstract import ContextMemoryProvider def default_schema(weaviate_index): diff --git a/autogpt/memory/history.py b/autogpt/memory/history.py index 8beb56af018..30d6facaee0 100644 --- a/autogpt/memory/history.py +++ b/autogpt/memory/history.py @@ -1,7 +1,12 @@ +from __future__ import annotations + import copy import json +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from autogpt.agent import Agent -from autogpt.agent import Agent from autogpt.config import Config from autogpt.json_utils.utilities import ( LLM_DEFAULT_RESPONSE_FORMAT, @@ -92,7 +97,7 @@ def format_memory(self, assistant_reply: str, next_message_content: str): else next_message_content ) - return f"Assistant Reply: {assistant_reply}\nResult: {result}\nHuman Feedback:{user_input}" + return f"Assistant Reply: {assistant_reply}\nResult: {result}\nHuman Feedback: {user_input}" def summary_message(self) -> Message: return { From b1b12c54daf640067ab5ad8c2a86a01af113ecc4 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Sat, 13 May 2023 22:13:53 +0200 Subject: [PATCH 08/54] Fix MessageHistory, tests & linting --- autogpt/agent/agent.py | 6 +- autogpt/app.py | 5 +- autogpt/commands/web_selenium.py | 5 +- autogpt/llm/chat.py | 39 +++++----- autogpt/memory/context/memory_item.py | 66 ++++++++++++++++- autogpt/memory/context/providers/json_file.py | 5 +- autogpt/memory/history.py | 74 +++++++++---------- autogpt/plugins.py | 14 ++-- autogpt/processing/text.py | 18 ++--- tests/test_agent.py | 4 +- tests/test_agent_manager.py | 2 +- 11 files changed, 146 insertions(+), 92 deletions(-) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index 5d4177ee791..a52d0c34018 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -95,7 +95,7 @@ def start_interaction_loop(self): self.config.ai_name, self.created_at, self.cycle_count, - self.history.messages, + self.history, FULL_MESSAGE_HISTORY_FILE_NAME, ) if ( @@ -284,10 +284,10 @@ def start_interaction_loop(self): # Check if there's a result from the command append it to the message # history if result is not None: - self.history.add(create_chat_message("system", result)) + self.history.append(create_chat_message("system", result)) logger.typewriter_log("SYSTEM: ", Fore.YELLOW, result) else: - self.history.add( + self.history.append( create_chat_message("system", "Unable to execute command") ) logger.typewriter_log( diff --git a/autogpt/app.py b/autogpt/app.py index 42f45a7de19..87a121cd889 100644 --- a/autogpt/app.py +++ b/autogpt/app.py @@ -150,7 +150,10 @@ def get_text_summary(url: str, question: str) -> str: str: The summary of the text """ text = scrape_text(url) - summary, _ = summarize_text(text, question) + summary, _ = summarize_text( + text, + f'focus on information related to the question "{question}". Do not answer the question itself', + ) return f""" "Result" : {summary}""" diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index 9c140552bf2..d2967c5a661 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -209,7 +209,10 @@ def summarize_memorize_webpage( memory = get_memory(CFG) if isinstance(memory, NoMemory): - summary, chunks = summarize_text(text, question) + summary, chunks = summarize_text( + text, + f'focus on information related to the question "{question}". Do not answer the question itself', + ) return summary new_memory = MemoryItem.from_webpage(text, url) diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 4d8532d121b..3ee777f7d5d 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -1,6 +1,11 @@ +from __future__ import annotations + import time from random import shuffle +from typing import TYPE_CHECKING +if TYPE_CHECKING: + from autogpt.agent.agent import Agent from autogpt.config import Config from autogpt.llm.api_manager import ApiManager from autogpt.llm.base import Message @@ -59,7 +64,7 @@ def generate_context( # TODO: Change debug from hardcode to argument def chat_with_ai( - agent, + agent: Agent, system_prompt: str, user_input: str, token_limit: int, @@ -81,10 +86,10 @@ def chat_with_ai( logger.debug(f"Token limit: {token_limit}") send_token_limit = token_limit - 1000 - # if len(agent.history.messages) == 0: + # if len(agent.history) == 0: # relevant_memory = "" # else: - # recent_history = agent.history.messages[-5:] + # recent_history = agent.history[-5:] # shuffle(recent_history) # relevant_memories = agent.memory.get_relevant( # str(recent_history), 5 @@ -100,7 +105,7 @@ def chat_with_ai( current_tokens_used, insertion_index, message_chain, - ) = generate_context(system_prompt, relevant_memory, agent.history.messages, model) + ) = generate_context(system_prompt, relevant_memory, agent.history, model) # while current_tokens_used > 2500: # # remove memories until we are under 2500 tokens @@ -111,7 +116,7 @@ def chat_with_ai( # insertion_index, # current_context, # ) = generate_context( - # prompt, relevant_memory, agent.history.messages, model + # prompt, relevant_memory, agent.history, model # ) # Account for user input (appended later) @@ -122,34 +127,24 @@ def chat_with_ai( # Add Messages until the token limit is reached or there are no more messages to add. while next_message_to_add_index >= 0: - message_to_add = agent.history.messages[next_message_to_add_index] + message_to_add = agent.history[next_message_to_add_index] tokens_to_add = count_message_tokens([message_to_add], model) if current_tokens_used + tokens_to_add > send_token_limit: - # agent.history.save_memory_trimmed_from_context_window( - # next_message_to_add_index, - # agent.memory, - # ) break # Add the most recent message to the start of the chain, # after the system prompts. - message_chain.insert( - insertion_index, agent.history.messages[next_message_to_add_index] - ) + message_chain.insert(insertion_index, agent.history[next_message_to_add_index]) current_tokens_used += tokens_to_add next_message_to_add_index -= 1 # Update & add summary of trimmed messages - if len(agent.history.messages) > 0: - newly_trimmed_messages = agent.history.get_trimmed_messages( + if len(agent.history) > 0: + new_summary_message, newly_trimmed_messages = agent.history.trim_messages( current_message_chain=message_chain, ) - - summary_message = agent.history.update_running_summary( - new_events=newly_trimmed_messages, - ) - message_chain.insert(insertion_index, summary_message) + message_chain.insert(insertion_index, new_summary_message) api_manager = ApiManager() # inform the AI about its remaining budget (if it has one) @@ -225,7 +220,7 @@ def chat_with_ai( ) # Update full message history - agent.history.add(user_input_msg) - agent.history.add(create_chat_message("assistant", assistant_reply)) + agent.history.append(user_input_msg) + agent.history.append(create_chat_message("assistant", assistant_reply)) return assistant_reply diff --git a/autogpt/memory/context/memory_item.py b/autogpt/memory/context/memory_item.py index 9a876d88c03..41a9e73fd7a 100644 --- a/autogpt/memory/context/memory_item.py +++ b/autogpt/memory/context/memory_item.py @@ -1,15 +1,18 @@ import dataclasses +import json from typing import Literal import numpy as np from autogpt.config import Config +from autogpt.llm.base import Message +from autogpt.llm.token_counter import count_string_tokens from autogpt.logs import logger from autogpt.processing.text import chunk_content, split_text, summarize_text from .utils import Embedding, get_embedding -MemoryDocType = Literal["webpage", "text_file", "code_file"] +MemoryDocType = Literal["webpage", "text_file", "code_file", "agent_history"] @dataclasses.dataclass @@ -23,7 +26,12 @@ class MemoryItem: metadata: dict @staticmethod - def from_text(text: str, source_type: MemoryDocType, metadata: dict = {}): + def from_text( + text: str, + source_type: MemoryDocType, + metadata: dict = {}, + summarization_instruction: str | None = None, + ): cfg = Config() logger.debug(f"Memorizing text:\n{'-'*32}\n{text}\n{'-'*32}\n") @@ -39,7 +47,10 @@ def from_text(text: str, source_type: MemoryDocType, metadata: dict = {}): chunk_summaries = [ summary - for summary, _ in [summarize_text(text_chunk) for text_chunk in chunks] + for summary, _ in [ + summarize_text(text_chunk, summarization_instruction) + for text_chunk in chunks + ] ] logger.debug("Chunk summaries: " + str(chunk_summaries)) @@ -48,7 +59,9 @@ def from_text(text: str, source_type: MemoryDocType, metadata: dict = {}): summary = ( chunk_summaries[0] if len(chunks) == 1 - else summarize_text("\n\n".join(chunk_summaries))[0] + else summarize_text( + "\n\n".join(chunk_summaries), summarization_instruction + )[0] ) logger.debug("Total summary: " + summary) @@ -75,6 +88,51 @@ def from_code_file(content: str, path: str): # TODO: implement tailored code memories return MemoryItem.from_text(content, "code_file", {"location": path}) + @staticmethod + def from_ai_action(ai_message: Message, result_message: Message): + # The result_message contains either user feedback + # or the result of the command specified in ai_message + + if ai_message["role"] != "assistant": + raise ValueError(f"Invalid role on 'ai_message': {ai_message['role']}") + + result = ( + result_message["content"] + if result_message["content"].startswith("Command") + else "None" + ) + user_input = ( + result_message["content"] + if result_message["content"].startswith("Human feedback") + else "None" + ) + memory_content = ( + f"Assistant Reply: {ai_message['content']}" + "\n\n" + f"Result: {result}" + "\n\n" + f"Human Feedback: {user_input}" + ) + + return MemoryItem.from_text( + memory_content, + "agent_history", + summarization_instruction="if possible, also make clear the link between the command in the assistant's response and the command result. Do not mention the human feedback if there is none", + ) + @staticmethod def from_webpage(content: str, url: str): return MemoryItem.from_text(content, "webpage", {"location": url}) + + def __str__(self) -> str: + token_length = count_string_tokens(self.raw_content, Config().embedding_model) + return f""" +=============== MemoryItem =============== +Length: {token_length} tokens in {len(self.e_chunks)} chunks +Metadata: {json.dumps(self.metadata, indent=2)} +---------------- SUMMARY ----------------- +{self.summary} +------------------ RAW ------------------- +{self.raw_content} +========================================== +""" diff --git a/autogpt/memory/context/providers/json_file.py b/autogpt/memory/context/providers/json_file.py index 3674f466495..ce0e01f5a8b 100644 --- a/autogpt/memory/context/providers/json_file.py +++ b/autogpt/memory/context/providers/json_file.py @@ -58,9 +58,8 @@ def get(self, query: str) -> MemoryItem | None: def get_relevant(self, query: str, k: int) -> list[MemoryItem]: """ - matrix-vector mult to find score-for-each-row-of-matrix - get indices for top-k winning scores - return texts for those indices + Returns the top-k most relevant memories for the given query + Args: text: str k: int diff --git a/autogpt/memory/history.py b/autogpt/memory/history.py index 7c1a8612e60..519f33614b1 100644 --- a/autogpt/memory/history.py +++ b/autogpt/memory/history.py @@ -4,6 +4,8 @@ import json from typing import TYPE_CHECKING +from autogpt.memory.context.memory_item import MemoryItem + if TYPE_CHECKING: from autogpt.agent import Agent @@ -19,40 +21,36 @@ from autogpt.memory.context import ContextMemory -class MessageHistory: +class MessageHistory(list[Message]): agent: Agent - messages: list[Message] summary: str - last_memory_index: int + last_trimmed_index: int def __init__(self, agent: Agent): self.agent = agent - self.messages = [] self.summary = "I was created." - self.last_memory_index = 0 - - def add(self, message: Message): - self.messages.append(message) + self.last_trimmed_index = 0 - def get_trimmed_messages( + def trim_messages( self, current_message_chain: list[Message], - ) -> list[Message]: + ) -> tuple[Message, list[Message]]: """ Returns a list of trimmed messages: messages which are in the message history but not in current_message_chain. Args: - current_message_chain (list): The messages currently in the context. + current_message_chain (list[Message]): The messages currently in the context. Returns: - list: A list of messages that are in full_message_history with an index higher than last_memory_index and absent from current_context. + Message: A message with the new running summary after adding the trimmed messages. + list[Message]: A list of messages that are in full_message_history with an index higher than last_trimmed_index and absent from current_message_chain. """ - # Select messages in full_message_history with an index higher than last_memory_index + # Select messages in full_message_history with an index higher than last_trimmed_index new_messages = [ - msg for i, msg in enumerate(self.messages) if i > self.last_memory_index + msg for i, msg in enumerate(self) if i > self.last_trimmed_index ] # Remove messages that are already present in current_message_chain @@ -60,44 +58,38 @@ def get_trimmed_messages( msg for msg in new_messages if msg not in current_message_chain ] + # agent.history.archive( + # new_messages_not_in_chain, + # agent.memory, + # ) + + new_summary_message = self.update_running_summary( + new_events=new_messages_not_in_chain + ) + # Find the index of the last message processed if new_messages_not_in_chain: last_message = new_messages_not_in_chain[-1] - self.last_memory_index = self.messages.index(last_message) + self.last_trimmed_index = self.index(last_message) - return new_messages_not_in_chain + return new_summary_message, new_messages_not_in_chain - def save_memory_trimmed_from_context_window( + def archive( self, - next_message_to_add_index: int, + up_to_index: int, permanent_memory: ContextMemory, ): - while next_message_to_add_index >= 0: - message_content = self.messages[next_message_to_add_index]["content"] - if is_string_valid_json(message_content, LLM_DEFAULT_RESPONSE_FORMAT): - next_message = self.messages[next_message_to_add_index + 1] - memory_to_add = self.format_memory( - message_content, next_message["content"] - ) + """Saves messages up to the given index to permanent memory""" + + while up_to_index >= 0: + ai_message = self[up_to_index] + if is_string_valid_json(ai_message["content"], LLM_DEFAULT_RESPONSE_FORMAT): + next_message = self[up_to_index + 1] + memory_to_add = MemoryItem.from_ai_action(ai_message, next_message) logger.debug(f"Storing the following memory: {memory_to_add}") permanent_memory.add(memory_to_add) - next_message_to_add_index -= 1 - - def format_memory(self, assistant_reply: str, next_message_content: str): - # the next_message_content is a variable to stores either the user_input or the command following the assistant_reply - result = ( - "None" - if next_message_content.startswith("Command") - else next_message_content - ) - user_input = ( - "None" - if next_message_content.startswith("Human feedback") - else next_message_content - ) - - return f"Assistant Reply: {assistant_reply}\nResult: {result}\nHuman Feedback: {user_input}" + up_to_index -= 1 def summary_message(self) -> Message: return { diff --git a/autogpt/plugins.py b/autogpt/plugins.py index 99bb6256b42..3e27fe13813 100644 --- a/autogpt/plugins.py +++ b/autogpt/plugins.py @@ -1,6 +1,6 @@ """Handles loading of plugins.""" -import importlib +import importlib.util import json import os import zipfile @@ -12,7 +12,7 @@ import openapi_python_client import requests from auto_gpt_plugin_template import AutoGPTPluginTemplate -from openapi_python_client.cli import Config as OpenAPIConfig +from openapi_python_client.config import Config as OpenAPIConfig from autogpt.config import Config from autogpt.logs import logger @@ -152,7 +152,7 @@ def initialize_openai_plugins( ) prev_cwd = Path.cwd() os.chdir(openai_plugin_client_dir) - Path("ai-plugin.json") + if not os.path.exists("client"): client_results = openapi_python_client.create_new_client( url=manifest_spec["manifest"]["api"]["url"], @@ -170,9 +170,13 @@ def initialize_openai_plugins( "client", "client/client/client.py" ) module = importlib.util.module_from_spec(spec) - spec.loader.exec_module(module) + + try: + spec.loader.exec_module(module) + finally: + os.chdir(prev_cwd) + client = module.Client(base_url=url) - os.chdir(prev_cwd) manifest_spec["client"] = client return manifests_specs diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index 362dab907ff..815ed33b7d7 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -60,13 +60,13 @@ def chunk_content( def summarize_text( - text: str, question: Optional[str] = None, max_chunk_length: Optional[int] = None + text: str, instruction: Optional[str] = None, max_chunk_length: Optional[int] = None ) -> tuple[str, None | list[tuple[str, str]]]: """Summarize text using the OpenAI API Args: text (str): The text to summarize - question (str): A question to focus the summary content + instruction (str): Additional instruction for summarization, e.g. "focus on information related to polar bears", "omit personal information contained in the text" Returns: str: The summary of the text @@ -81,14 +81,12 @@ def summarize_text( summarization_prompt_template = ( ( - "Consisely summarize the following text, focusing on " - f'information related to the question "{question}". ' - "Do not answer the question itself. " + f"Consisely summarize the following text; {instruction}. " "If the text does not contain information, describe the type of text.\n" '\nText: """{content}"""\n' "\nSummary/description:" ) - if question is not None + if instruction is not None else ( "Consisely summarize the following text, " "covering the topics present in the text and nothing more. " @@ -110,7 +108,7 @@ def summarize_text( prompt, model, temperature=0, max_output_tokens=500 ) logger.debug(f"Summary:\n{'-'*32}\n{summary}\n{'-'*32}\n") - return summary, None + return summary.strip(), None summaries: list[str] = [] chunks = list(split_text(text, for_model=model)) @@ -119,14 +117,16 @@ def summarize_text( logger.info( f"Summarizing chunk {i + 1} / {len(chunks)} of length {chunk_length} tokens" ) - summary, _ = summarize_text(chunk, question) + summary, _ = summarize_text(chunk, instruction) summaries.append(summary) logger.info(f"Summarized {len(chunks)} chunks") summary, _ = summarize_text("\n\n".join(summaries)) - return summary, [(summaries[i], chunks[i][0]) for i in range(0, len(chunks))] + return summary.strip(), [ + (summaries[i], chunks[i][0]) for i in range(0, len(chunks)) + ] def split_text( diff --git a/tests/test_agent.py b/tests/test_agent.py index 1f7866817eb..5f7dab75faf 100644 --- a/tests/test_agent.py +++ b/tests/test_agent.py @@ -30,10 +30,10 @@ def agent(): return agent -def test_agent_initialization(agent): +def test_agent_initialization(agent: Agent): assert agent.ai_name == "Test AI" assert agent.memory == agent.memory - assert agent.history_memory.messages == [] + assert agent.history == [] assert agent.next_action_count == 0 assert agent.command_registry == agent.command_registry assert agent.config == agent.config diff --git a/tests/test_agent_manager.py b/tests/test_agent_manager.py index c5a776e7d28..e7e696ae5cd 100644 --- a/tests/test_agent_manager.py +++ b/tests/test_agent_manager.py @@ -18,7 +18,7 @@ def task(): @pytest.fixture -def system_prompt(): +def prompt(): return "Translate the following English text to French: 'Hello, how are you?'" From fd6ff16d4dfbd1a4b6c386d30a5c8d9d4112c887 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Sat, 13 May 2023 22:15:13 +0200 Subject: [PATCH 09/54] Fix tests --- tests/integration/test_history_memory.py | 62 -------------------- tests/integration/test_plugins.py | 73 ++++++++++++++++++++++++ tests/unit/test_plugins.py | 53 ----------------- 3 files changed, 73 insertions(+), 115 deletions(-) delete mode 100644 tests/integration/test_history_memory.py create mode 100644 tests/integration/test_plugins.py diff --git a/tests/integration/test_history_memory.py b/tests/integration/test_history_memory.py deleted file mode 100644 index ca7ddda3a8f..00000000000 --- a/tests/integration/test_history_memory.py +++ /dev/null @@ -1,62 +0,0 @@ -import json - -import pytest - -from autogpt.config import Config -from autogpt.memory.context import get_memory -from autogpt.memory.history import MessageHistory -from tests.utils import requires_api_key - - -@pytest.fixture -def message_history_fixture(): - assistant_reply = { - "thoughts": { - "text": "thoughts", - "reasoning": "reasoning", - "plan": "plan", - "criticism": "criticism", - "speak": "speak", - }, - "command": {"name": "google", "args": {"query": "google_query"}}, - } - return [ - {"content": json.dumps(assistant_reply, indent=4)}, - {"content": "Command Result: Important Information."}, - ] - - -@pytest.fixture -def expected_permanent_memory() -> str: - return """Assistant Reply: { - "thoughts": { - "text": "thoughts", - "reasoning": "reasoning", - "plan": "plan", - "criticism": "criticism", - "speak": "speak" - }, - "command": { - "name": "google", - "args": { - "query": "google_query" - } - } -} -Result: None -Human Feedback:Command Result: Important Information.""" - - -@requires_api_key("OPENAI_API_KEY") -@pytest.mark.vcr -def test_save_memory_trimmed_from_context_window( - message_history_fixture, expected_permanent_memory, config: Config -): - next_message_to_add_index = len(message_history_fixture) - 1 - memory = get_memory(config, init=True) - MessageHistory().save_memory_trimmed_from_context_window( - message_history_fixture, next_message_to_add_index, memory - ) - - memory_found = memory.get_relevant("Important Information", 5) - assert memory_found[0] == expected_permanent_memory diff --git a/tests/integration/test_plugins.py b/tests/integration/test_plugins.py new file mode 100644 index 00000000000..533c72b3e4b --- /dev/null +++ b/tests/integration/test_plugins.py @@ -0,0 +1,73 @@ +import pytest + +from autogpt.config import Config +from autogpt.plugins import ( + scan_plugins, +) + +PLUGINS_TEST_DIR = "tests/unit/data/test_plugins" +PLUGIN_TEST_OPENAI = "https://weathergpt.vercel.app/" + + +@pytest.fixture +def mock_config_denylist_allowlist_check(): + class MockConfig: + """Mock config object for testing the denylist_allowlist_check function""" + + plugins_denylist = ["BadPlugin"] + plugins_allowlist = ["GoodPlugin"] + authorise_key = "y" + exit_key = "n" + + return MockConfig() + + +@pytest.fixture +def config_with_plugins(): + """Mock config object for testing the scan_plugins function""" + # Test that the function returns the correct number of plugins + cfg = Config() + cfg.plugins_dir = PLUGINS_TEST_DIR + cfg.plugins_openai = ["https://weathergpt.vercel.app/"] + return cfg + + +@pytest.fixture +def mock_config_openai_plugin(): + """Mock config object for testing the scan_plugins function""" + + class MockConfig: + """Mock config object for testing the scan_plugins function""" + + plugins_dir = PLUGINS_TEST_DIR + plugins_openai = [PLUGIN_TEST_OPENAI] + plugins_denylist = ["AutoGPTPVicuna"] + plugins_allowlist = [PLUGIN_TEST_OPENAI] + + return MockConfig() + + +def test_scan_plugins_openai(mock_config_openai_plugin): + # Test that the function returns the correct number of plugins + result = scan_plugins(mock_config_openai_plugin, debug=True) + assert len(result) == 1 + + +@pytest.fixture +def mock_config_generic_plugin(): + """Mock config object for testing the scan_plugins function""" + + # Test that the function returns the correct number of plugins + class MockConfig: + plugins_dir = PLUGINS_TEST_DIR + plugins_openai = [] + plugins_denylist = [] + plugins_allowlist = ["AutoGPTPVicuna"] + + return MockConfig() + + +def test_scan_plugins_generic(mock_config_generic_plugin): + # Test that the function returns the correct number of plugins + result = scan_plugins(mock_config_generic_plugin, debug=True) + assert len(result) == 1 diff --git a/tests/unit/test_plugins.py b/tests/unit/test_plugins.py index 08c9114c761..769bac30c5d 100644 --- a/tests/unit/test_plugins.py +++ b/tests/unit/test_plugins.py @@ -4,13 +4,11 @@ from autogpt.plugins import ( denylist_allowlist_check, inspect_zip_for_modules, - scan_plugins, ) PLUGINS_TEST_DIR = "tests/unit/data/test_plugins" PLUGIN_TEST_ZIP_FILE = "Auto-GPT-Plugin-Test-master.zip" PLUGIN_TEST_INIT_PY = "Auto-GPT-Plugin-Test-master/src/auto_gpt_vicuna/__init__.py" -PLUGIN_TEST_OPENAI = "https://weathergpt.vercel.app/" def test_inspect_zip_for_modules(): @@ -77,54 +75,3 @@ def test_denylist_allowlist_check_user_input_invalid( assert not denylist_allowlist_check( "UnknownPlugin", mock_config_denylist_allowlist_check ) - - -@pytest.fixture -def config_with_plugins(): - """Mock config object for testing the scan_plugins function""" - # Test that the function returns the correct number of plugins - cfg = Config() - cfg.plugins_dir = PLUGINS_TEST_DIR - cfg.plugins_openai = ["https://weathergpt.vercel.app/"] - return cfg - - -@pytest.fixture -def mock_config_openai_plugin(): - """Mock config object for testing the scan_plugins function""" - - class MockConfig: - """Mock config object for testing the scan_plugins function""" - - plugins_dir = PLUGINS_TEST_DIR - plugins_openai = [PLUGIN_TEST_OPENAI] - plugins_denylist = ["AutoGPTPVicuna"] - plugins_allowlist = [PLUGIN_TEST_OPENAI] - - return MockConfig() - - -def test_scan_plugins_openai(mock_config_openai_plugin): - # Test that the function returns the correct number of plugins - result = scan_plugins(mock_config_openai_plugin, debug=True) - assert len(result) == 1 - - -@pytest.fixture -def mock_config_generic_plugin(): - """Mock config object for testing the scan_plugins function""" - - # Test that the function returns the correct number of plugins - class MockConfig: - plugins_dir = PLUGINS_TEST_DIR - plugins_openai = [] - plugins_denylist = [] - plugins_allowlist = ["AutoGPTPVicuna"] - - return MockConfig() - - -def test_scan_plugins_generic(mock_config_generic_plugin): - # Test that the function returns the correct number of plugins - result = scan_plugins(mock_config_generic_plugin, debug=True) - assert len(result) == 1 From fae3098d30dc9c4c6052c5faa82b708286d7169e Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 15 May 2023 02:51:31 +0200 Subject: [PATCH 10/54] Fix summarization --- autogpt/app.py | 5 +--- autogpt/commands/web_selenium.py | 7 ++---- autogpt/memory/context/memory_item.py | 28 +++++++++++++++------- autogpt/processing/text.py | 34 ++++++++++++++++++++------- 4 files changed, 49 insertions(+), 25 deletions(-) diff --git a/autogpt/app.py b/autogpt/app.py index 87a121cd889..18ad781af76 100644 --- a/autogpt/app.py +++ b/autogpt/app.py @@ -150,10 +150,7 @@ def get_text_summary(url: str, question: str) -> str: str: The summary of the text """ text = scrape_text(url) - summary, _ = summarize_text( - text, - f'focus on information related to the question "{question}". Do not answer the question itself', - ) + summary, _ = summarize_text(text, question=question) return f""" "Result" : {summary}""" diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index d2967c5a661..8588ab71f2b 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -209,12 +209,9 @@ def summarize_memorize_webpage( memory = get_memory(CFG) if isinstance(memory, NoMemory): - summary, chunks = summarize_text( - text, - f'focus on information related to the question "{question}". Do not answer the question itself', - ) + summary, chunks = summarize_text(text, question=question) return summary - new_memory = MemoryItem.from_webpage(text, url) + new_memory = MemoryItem.from_webpage(text, url, question=question) memory.add(new_memory) return new_memory.summary diff --git a/autogpt/memory/context/memory_item.py b/autogpt/memory/context/memory_item.py index 41a9e73fd7a..3c5d20bdb99 100644 --- a/autogpt/memory/context/memory_item.py +++ b/autogpt/memory/context/memory_item.py @@ -30,7 +30,8 @@ def from_text( text: str, source_type: MemoryDocType, metadata: dict = {}, - summarization_instruction: str | None = None, + how_to_summarize: str | None = None, + question_for_summary: str | None = None, ): cfg = Config() logger.debug(f"Memorizing text:\n{'-'*32}\n{text}\n{'-'*32}\n") @@ -48,7 +49,11 @@ def from_text( chunk_summaries = [ summary for summary, _ in [ - summarize_text(text_chunk, summarization_instruction) + summarize_text( + text_chunk, + instruction=how_to_summarize, + question=question_for_summary, + ) for text_chunk in chunks ] ] @@ -60,7 +65,9 @@ def from_text( chunk_summaries[0] if len(chunks) == 1 else summarize_text( - "\n\n".join(chunk_summaries), summarization_instruction + "\n\n".join(chunk_summaries), + instruction=how_to_summarize, + question=question_for_summary, )[0] ) logger.debug("Total summary: " + summary) @@ -115,14 +122,19 @@ def from_ai_action(ai_message: Message, result_message: Message): ) return MemoryItem.from_text( - memory_content, - "agent_history", - summarization_instruction="if possible, also make clear the link between the command in the assistant's response and the command result. Do not mention the human feedback if there is none", + text=memory_content, + source_type="agent_history", + how_to_summarize="if possible, also make clear the link between the command in the assistant's response and the command result. Do not mention the human feedback if there is none", ) @staticmethod - def from_webpage(content: str, url: str): - return MemoryItem.from_text(content, "webpage", {"location": url}) + def from_webpage(content: str, url: str, question: str | None = None): + return MemoryItem.from_text( + text=content, + source_type="webpage", + metadata={"location": url}, + question_for_summary=question, + ) def __str__(self) -> str: token_length = count_string_tokens(self.raw_content, Config().embedding_model) diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index 815ed33b7d7..fb1c77226ef 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -60,7 +60,7 @@ def chunk_content( def summarize_text( - text: str, instruction: Optional[str] = None, max_chunk_length: Optional[int] = None + text: str, instruction: Optional[str] = None, question: Optional[str] = None ) -> tuple[str, None | list[tuple[str, str]]]: """Summarize text using the OpenAI API @@ -76,9 +76,18 @@ def summarize_text( if not text: raise ValueError("No text to summarize") + if instruction and question: + raise ValueError("Parameters 'question' and 'instructions' cannot both be set") + # model = CFG.fast_llm_model # does not support text completion :( model = "text-davinci-003" + if question: + instruction = ( + f'include any information that can be used to answer the question "{question}". ' + "Do not directly answer the question itself" + ) + summarization_prompt_template = ( ( f"Consisely summarize the following text; {instruction}. " @@ -99,9 +108,11 @@ def summarize_text( token_length = count_string_tokens(text, model) logger.info(f"Text length: {token_length} tokens") - if not must_chunk_content( - text, model, _max_chunk_length(model, max_chunk_length) - 550 - ): # reserve 50 tokens for summary prompt, 500 for the response + # reserve 50 tokens for summary prompt, 500 for the response + max_chunk_length = _max_chunk_length(model) - 550 + logger.info(f"Max chunk length: {max_chunk_length} tokens") + + if not must_chunk_content(text, model, max_chunk_length): prompt = summarization_prompt_template.format(content=text) logger.debug(f"Summarizing with {model}:\n{'-'*32}\n{prompt}\n{'-'*32}\n") summary = create_text_completion( @@ -111,7 +122,7 @@ def summarize_text( return summary.strip(), None summaries: list[str] = [] - chunks = list(split_text(text, for_model=model)) + chunks = list(split_text(text, for_model=model, max_chunk_length=max_chunk_length)) for i, (chunk, chunk_length) in enumerate(chunks): logger.info( @@ -168,7 +179,9 @@ def split_text( current_chunk: list[str] = [] current_chunk_length = 0 - for sentence in sentences: + i = 0 + while i < len(sentences): + sentence = sentences[i] sentence_length = count_string_tokens(sentence, for_model) expected_chunk_length = current_chunk_length + 1 + sentence_length @@ -187,8 +200,13 @@ def split_text( current_chunk = [sentence] current_chunk_length = sentence_length - else: - raise ValueError(f"Sentence is too long: {sentence_length} tokens.") + else: # sentence longer than maximum length + sentences[i : i + 1] = [ + chunk + for chunk, _ in chunk_content(sentence, for_model, target_chunk_length) + ] + continue + i += 1 if current_chunk: yield " ".join(current_chunk), current_chunk_length From 3a6bc495c046533553b477cb439bbb5e4032e91f Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 15 May 2023 02:52:51 +0200 Subject: [PATCH 11/54] Move memory relevance calculation to MemoryItem & improve test --- autogpt/memory/context/memory_item.py | 10 + autogpt/memory/context/providers/json_file.py | 2 +- autogpt/memory/context/utils.py | 9 +- .../test_json_memory_get_relevant.yaml | 2359 +++++++++++++++++ tests/integration/test_json_file_memory.py | 11 +- 5 files changed, 2384 insertions(+), 7 deletions(-) create mode 100644 tests/integration/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml diff --git a/autogpt/memory/context/memory_item.py b/autogpt/memory/context/memory_item.py index 3c5d20bdb99..9995ecd833f 100644 --- a/autogpt/memory/context/memory_item.py +++ b/autogpt/memory/context/memory_item.py @@ -25,6 +25,16 @@ class MemoryItem: e_chunks: list[Embedding] metadata: dict + def relevance(self, compare_to: Embedding): + summary_relevance = np.dot(self.e_summary, compare_to) + chunk_relevances = np.dot(self.e_chunks, compare_to) + logger.debug(f"Relevance of summary: {summary_relevance}") + logger.debug(f"Relevance of chunks: {chunk_relevances}") + + relevance_scores = [summary_relevance, *chunk_relevances] + logger.debug(f"Relevance scores: {relevance_scores}") + return max(relevance_scores) + @staticmethod def from_text( text: str, diff --git a/autogpt/memory/context/providers/json_file.py b/autogpt/memory/context/providers/json_file.py index ce0e01f5a8b..6b87a6c3109 100644 --- a/autogpt/memory/context/providers/json_file.py +++ b/autogpt/memory/context/providers/json_file.py @@ -73,7 +73,7 @@ def get_relevant(self, query: str, k: int) -> list[MemoryItem]: logger.debug(f"Searching for {k} relevant items; {len(self.memories)} in index") - scores: list[float] = [np.dot(m.e_summary, e_query) for m in self.memories] + scores: list[float] = [m.relevance(e_query) for m in self.memories] # scores: list[float] = np.dot([m.e for m in self.memories], e_query) logger.debug(f"Memory match scores: {scores}") diff --git a/autogpt/memory/context/utils.py b/autogpt/memory/context/utils.py index 03465f94a8a..486de0316c5 100644 --- a/autogpt/memory/context/utils.py +++ b/autogpt/memory/context/utils.py @@ -6,6 +6,7 @@ from autogpt.config import Config from autogpt.llm.llm_utils import metered, retry_openai_api +from autogpt.logs import logger Embedding = list[np.float32] """Embedding vector""" @@ -38,7 +39,7 @@ def get_embedding( List[float]: The embedding. """ cfg = Config() - multiple = isinstance(input, list) and not isinstance(input[0], int) + multiple = isinstance(input, list) and all(not isinstance(i, int) for i in input) if isinstance(input, str): input = input.replace("\n", " ") @@ -51,6 +52,12 @@ def get_embedding( else: kwargs = {"model": model} + logger.debug( + f"Getting embedding{f's for {len(input)} inputs' if multiple else ''}" + f" with model '{model}'" + + (f" via Azure deployment '{kwargs['engine']}'" if cfg.use_azure else "") + ) + embeddings = openai.Embedding.create( input=input, api_key=cfg.openai_api_key, diff --git a/tests/integration/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml b/tests/integration/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml new file mode 100644 index 00000000000..19e4a34e8fe --- /dev/null +++ b/tests/integration/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml @@ -0,0 +1,2359 @@ +interactions: +- request: + body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following + text, covering the topics present in the text and nothing more. If the text + does not contain information, describe the type of text.\n\nText: \"\"\"Sample + text\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": 500}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '303' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOwUrEMBRF935FuetUWlpbyVLUWYg7Z6NISZM302iaF5vMWCj9d6nIuD3ncLkL + rIGEHoPL293usK+eXu/38fwQ+nBXOF/O9WS/n78eIcD9B+kEiURz6jSPwVGy7CGgJ1KJDGTZ3NZl + WTZtIzCyIfeX50adrdc2L4pq6we2miLk2/KrIZG9DDZmNmYqi2qbzjZxDQHrDc2QhYDjY5i4j5D+ + 5JzAwXobh24iFdlDIiYOWN8FTlEdCXJBmHgMqUv8ST5C1q3A//ELbgQSJ+Uu4KZa16sfAAAA//8D + AFguZCUcAQAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f5848891c83-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:47:57 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - text-davinci-003 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '744' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249500' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 120ms + x-request-id: + - e6b71d9577dd427c94a5edb4bc0cecf5 + status: + code: 200 + message: OK +- request: + body: '{"input": ["Sample text"], "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '90' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWQ+zvJal78+v+PTd0kcBkuDNuWMKYbQZMkCr1QoZSEhIwmADLtV/b5H3qLrq + JlIIUjDeXnutx/6Pf/z119+forqe+7//9dffr0fX//2/5muXU3/6+19//e9//PXXX3/9x+/zf9x5 + rYvr5fJ4l7/bfz8+3pfr+Pe//hL/68r/v+lff/3tJ8svlV+lXVErX4hr86DtGZaqBPGXTM4QWJct + s1/uuu0vFk4A2lFgeIV35sSNKVDv9kVllpCZ/rjpGwtlO8ci2rmTUy7XSbCWZeIRLCirli3MM0b7 + PfhML9vU77yaOzCpzgOPsfou+GDZA7CrHDJHua5Qv45FCvbHrQjWvhQNGcoSWCcSZ3jbaQUv3CiA + nTFe2MY28nYSat1Rq3y5/z1v1V9uJwv2z/uR+A/liKZFfTJgWXzvzC49K+2bLCnR/uaHVPLMizko + 1k2D91o6kHBEpj/4MRzQN9QsFiz2qfldv60TbBdhRnDKGj7hNw1QGdoRC4TjvXjbffNAephwWo63 + O2KW8T1Bp9Vbps/j+zLxLkIpFwyrq0+bcjtLRNh+l4QuHgVBg2IdNbQdPiExNL9GU+fbDvgfMmF5 + v2mrfpOdMliJQc7O7+jedjsqRLC5BDXxZU30W0r3ETwPxCZ69Pm0HEumAg4qETFu6ZeP2w/p0Jb5 + HgnM7FJMW+mVwcUtMZVraZPKlmQ2QKiyYyGL7uh9ML5n1O2FiDl+sm2ZXi4aUGrjToLypVV8k+kC + rPKrTSwhq0xO3a8HmZiURGtzoWC26XtwYmmDl9Y3TCczp6BM0/XK7O+98Tm86xoJzD/QdUDkdJqM + +05tfK5QNSlIym3TdGBzVFpmfV/LdmijlQDv3WlBlRgZqZzXrgam1gQk1E3bHA99noAYFicSViL4 + v/cJJ9mTWfgJo2Jw0AhQeKZK9PU2bsdHua8BkpISMrpFxadbdUZrt34wa9Hf+RD2uQHvsrZJeBKr + ontklQMPMROwhIuw7epbvoKitwmWniGupoUkX8Gj8oa5JH6mPMjfAXSLmBJn88oKjozvE4510ROi + q006LNDkge2YWyyH1scfev9aQxIt9uS33kbZP4iQtG3OsJe9zPHzvgSQFG+faKfs4Y9Ln1F4G0hl + ni271XCBdPjNH9nGpoWGY/QxYL3Ybim9jSPqdHcMYBBvhCrlF5tjCr4F/uXek2BCRTudwTwspLI5 + Mkf0LN7ujayGaPgQsg+okE6b18oC/dH7WNF8p+XoOEZIWq/fzF4k25Rn6tZAEnN3bF4/5vS5VRgS + DW3pWrIZp/6xNODj7zKs7lyj4H5+2MFCo2/mj4uhGvlr0KBE4wqL55AWTe2uJ3CjRUpRsuxTniCl + Af74Osze7seKunXToftqU5CLKvQV9d/BFV3dbsVsnNt89G66A9LuFrGNZ6o+7dD3g3ymMUbW3s1k + phGVsPH7J3Hkyz4tlXxZK5cw35Pt+tGjLxUjAVarTUl86FaoaaLyAUXxDvFKkd10WYjaVfXzpsbi + C91NHpcXAX2X8ovoWNm3PImNEwxuQ/GiGnA1BMfhqpyn1iTGs2Gc5+pNAdDNjhijtU2HY1Qa6jq8 + fVkgxldzUlEmgkA0hfjdlxY8rk82CC5d/PSM80wlBir9N2Z6v/HaUarz4bf+mKVvfF+k5cJBC3f9 + xamcPfhwMz4iPK5QE/MWm3/qB9Urt6HiQf6kDbyGBB6LrUG2G6Ezh7GPPciH2iTaa9Okw0HyE5Dl + 0CNG/EyrCW6ig3YfItKJ6vuKl17RAckfPtMeRtZ2bpzUcLxvJzouR+bzdbey4fRdMGaORlm9lVh1 + FLl2gGz226ToQ8k/w2cQBeJt7g3/ip5qoVNEb8TcOFLapGJsw+KWTsza2LjtVuK9AdbnOXNr/Wj2 + zB2falc2e7ZZJltzet9OB4U4uku0UPDa0RUzEaY6PjIHg+CPRHoFUL7FihF6kdHrV39BSc9su4i0 + djnPjzLXE9EFySqGm1HK6lcuRiqt66Lg255nUK+bDqPFMUd8QYMr2pdNxBzhdi6mvefVoG9hRbQq + O/Fhri8Y3A/F68UkFr17XSWKL2ZrpkUNSf/0s9/8m9/3tRhqy7bhsjA45ZZntlNwXK3QWlI2f/oj + /xhRAxfxwMj2ZJz8YUVfJQhDk8/6Nlb9PB71TQyJzHprct1ngLwwkYjnBIHPOXI8pbftjvhV/ESf + MHMPkK/5huiPzCg+iRh9YGudVnRSzHPFhZ4/QUKHAk9DJ/PR6vMAsK4/iFvtk2LIpN5Ai3KQ2OmK + CpO+3I8CEvN3mH/i8zwfyQ7ebeSxTH+KiIe3agerBztioZGbaqRiJkD9GO94mPWtu7+FDiWHNMJC + aNop/emP1dsec5djhMZXjc7osTsMxOhNk4sXKAaFH1cSI9I9MMdHrcngRMOXmMv+XrEsO63gGxoW + 0d/0WQ1uuTQg9M+UHCSkV/SE7jV4/dEkzuDe04GCIcC1/CRkW+UL/pHNLoNFkbXEm/RjwZS3JYIV + IYva/aOvaIuyCZIkc/E1MYqKD7dTjdbrMcBIMApz6GJdRGznuOTyDDo+vo0sUOpJYrQ/XQ5p/6tP + d3pUzLgIvjnRuPCgZYbMglF1EXevKwrV8/3BpRUt+WTXjqDglovE0erKpIs60eCbnDDdZYHHRyOG + BzpMJ4+ZC/Zph0eyXMHx4pxJaGQWf2WmMaDjdkjZtZa25jRl7mpdRZ+U+Y73SulwLD14beUnva0f + pJ3KPi6hUYuMeM1RQ3Qn3gHO66vGDDT4aPDk2xMZN63/07/6jbGWwdQ+AbkdslcxgjEZsLpOOkYX + ZFRUkPoaXVahTGb9b8tlHghInnYm5fp2nJ9fLIH2AWP2+rmrvoz2HSxs7UFcP9I4f5XLCTrx3dDh + pO9NvjB3gWpTKMk5vj3TT1Y7NbLat4PZxzXQrH8yLA72wELzIFd9Kt9klLOthlnaP/3+dnsAXJlP + 8EKLCpN7pjRBOGUOcy+LyB+C904B/FZ6Zl0eoTk8rysHjGQtESu8GVXf9sj602+suX+1Dg0i2KhH + gz63I2ung5deQReTgoRaK1V90zcBDMl6gRfNmaec3XQKaVJzKsalbTJ0HBM4olEmluOW6ZRH4w5G + f3ciOnhVwfANMDI+qUA/p6zi48LsGng96iUje7Ou3o9aT8BgNiL4cr0X8/OvkNVbHjGWGSq6e5ZE + IDxvCdMf2ohm/26j90vRmf0q67azvEqGJsSUOQux8Idbn9vQR/KCLg/52x/jOm+Qv7BVLDquVvQX + KjzQz+9o1/xVjXavADKe2ZJ+6cn3uVS7Bwi+6IqF+81C7RJNE2A1kolNjlk72Shr4NA+BOJuqrhi + 7OZ260V7XeNF59Upv4pNgH7+b3nQD+1w9FoFAu2p4eUiKtse9XGGdKNRmXPVZd7tclojXF/WzHTL + FxpyP/yg55s6GLT+nA5vz8OKLigxM8/1wxxM7ySguZ4x19zSbG8it5BzsJ+UdZ6ddvP40QJV21nv + 17w81yiActttMVBl5XOl1wBkkg5zPznwaUV7gKA4JHQYHZGPeyPzYCM6GtvkjsSbU50rwI2yY5tn + SKshvTkCBFqtsS0+ar7M++YKxDFdul6592qo8/2EDMd/0DWJn8Xw8VIL4aN4I3qxC/0pBEmBaL2M + 2TZqxYI965ODSjXomJks22qY+6WSfcuQ6Vmy8On8/0rX7nLmhk/J51mWrGDUPgdMh3CouGlkJdoX + kU2Sr1EW37u0y5AiW4zgIRxaNnnptCLr5o0XnK/9ocrAQGaOzrg/nBNES2NyQPO/e6K/zKodTrE7 + KOQq2kRPUG4OeXnZof3QXSmXMwOxbc9PgFT7gFdm/PQHtXY6SA5xxEhuef5nHq/67DWTBLFzLLia + pQaYET0Rq4syNDQoOkBS76/MOXeZPy7rpgHL9kYKrj0Ug+EZFqQr05vra6ymnTt2UD+jirneOuVD + i74BwoeixXXQHVs69XGtBLV2JJoib1uq5wcb5vxCTCw7Ph/o0gB83wzM3z9oNY6iQkG2LUowoe9i + /OXFWW/oevfxioGbxkcNl1OMYee7Zn/sHw7s1JdKr9oXozHLkjOsJv5i5ub2KKZCJgG8rcNIAvda + IhaXe4BbcZ6I09usGub8h+b+xKKm6CoaZVUJBzmN8cvdtAUPPG9CoytlrNBcnUtV7Blo7tf4NcIT + TWq5MdDGeDx++mZOijgJIJS1T/Q63/CprXVbMYfpQx/562iOW7Oo0fpSLal4FBXzHtweKzXf7SjD + /uHAJ4PKH2VzwfVPP/0pvbkZOhvl+9/1p7sjVrWjfGbOfkHQeAC1g/l3on3tntPJ+B6Q9chsZvYL + ivo7ikpUrz8d0f3YaLmM7goIkrCjwrf8FK2fXw9gX5WE/ep/wNkJK+G7M1mhZFa7TND0UYiYXAkx + k6/J1ffijAZjOTJjtN7p1ERlqcYRvTCyFM/V8DSfB3RW91vK5jw++uK3A129Xej6tqOcrsQ8gFq9 + c+bja15MgvSq4fk4hcwWcZKO77d1UE67d02n8tsVzHfHFWyKccJCMeCUd1krA38vTKJn387vl+Bj + 1PfGBrNt2rU86x81GDejx0O661B/zamIgnwZzbyjLEa15x6Ux2E/55GMszvSbPQ9xHtGnC/x6fM6 + 1LDPlwleXk9exYNbcoW4yO54+XTv5hCZxQnqacloV4aRSX/+WBCrkpn31zGl2/JCgdNJY8a83qcQ + 1H/7BS+N7v74fVMbXktVo4/FSIrlnPegOIQWs8Lbo2KzPkP2xAnx71D74ymD4MdLmP6mVvUnnz/l + eMesd1wVtJHODbIOeIHv/carBkOcDqBotTfnZyuV9fxqIbZdGHShRcgcN6pdgsEsRJXX+4bY8U3P + qL8dgYIYC2YvlZcPuudnnW38DKHxx1tM4rtUzL1zO+ZZtUOraXwRq14nfETJ5vlHj+O5voaupAlS + LS9gBB/vfAqNb6BcDBYz2z9I5iBfVxjNfoC+Vh+35ULWruB0ME7MEM5D1cZ1YsHxcLwxvdalor+j + 7AHZVlApWvZmIW99bCBZoy9GIBzQcE/exto3eIHRO/mk3IxFAey8PjKiv3LE7f5RAlyC6Y/+TF25 + l+GSbU7MnP00f8XFDp5krzBXuOzboSmDEqpc2hPjGD/QGIjTU3VytSV0CKN2PGXizMv4hZgNXMzv + slxmyly/xM2+PaKBkR2U8m7WeDGWTjXmZvoB/SqbOKYnt6CsRh3E6KHShynm7bBFd1ud64NpXztE + Eok+gTLzDYrm9UGdOpfR7MeJ9zUMn1vJRkbkwc94Zb3rivc0yMAwlm8KZNqh3/uGWHZEQo6H5ewv + 4g8U0zUnPjocUs6R5qgXo4+Jx2ldTYZ4V+D8BoEZvnTxh7VnJIi+FREPVaZwBn0uQ1Q+debM/qiX + 0P0K+lZY0eecd7kJfQAbdW8Q114NRfOmwgALf3fBw40+i2mXXx107HFDl/V5rIby/ZLhhiqNbI/H + FWI/nlNOjw/78bZhf2soKqNFRtdGeeOsEJ0zKlXcMbfqDd7bpkcheVyPzE5OXjqk4rdEsBW/xMXK + Mh2u0DWwdTtOdJLYJhdM/wDQxxpz4vei4J9YtdBeNnKqdi8N8Rr8J4r9Q8q8SV8WMz87QLNd8X/z + p17UHj8/SCELuopHUt+gfsoIM3qzQpPmloOK69sarybRSKeKBt6vv1PI723Komgs/+gfD+9uwT9G + 1ijZM0hwKSxbk21AtiG62QLl5ftVTY33PIG0Rm8WhpvQ7G+SWaI5f/7pv+z4rq8w5w3i3Kjtj/ve + OUGXL490dMiunTJp94RgV+1ZMD/vzIsDNG4gJjOPQp+5f4BsvTvM5zz3aWvng4zd7st81XLTMfXf + T0TWnzeVVXiZbLq1V+RotMDLbdqg6STJux9fYtYL3X32krdXcBpzzXz9qrUDrXkCbOe5+Df+YStJ + MqxRoM2ZTStEjfY7hJcCwu9J/vpjFK1t1Drbyy8vFiPNQ0dZuOhL5UMRIrSPJQ11uxumuSkJLbu4 + I6CZNzHfdZbm8FCPiQJb+Yvvx/RbcanWD3/4aOha35Zr/s1WZj3B9W1Kq2FKrvjHi6gQWy4fCcrO + MPtZ4soFbsel/+4A4o3C9OVIzEHsJwW+o/7ByjG2quWc31Fj1CuMikgvJqHcK+vZf7PNukYFLZBy + RspGSLFwOHUm38H5pCyPw4mFW/o2Z32MIJRjQvbwDc3uod4SNKKrTNFL/VY06LUnoDcNqXS9ZubE + 4qcB8/oh2GqmYkrMrlMuFk6pgPWVyRxqRXAX8Y42tvxtuRiVAzD3apFAhoXfFHUzATXOF+Id1juT + kXJjAxOjFwvyu1+MeY80kMjWppJuPlPmuXcNvhoKZj1QfzyoRvfVtsDru6Ejvqu5rJ7Er0jC0neL + UZIEjL4XO2FOKASp/Oh5AqeNEBCtNsFsr54nQu3omBHSlW1XgKFAsLvvqTAtsblcxcUJHR+Pms38 + sJiub6uENcIa0RdcnvvR/gMXLLp0fHZyW8eZeAKrXCQMO+0eTQWazhBG8opsF1FZDdf3DkD/bHd4 + 0U77aoivK2ulYjFiB9e02t/7g6OmHvAg+nXFmKmu4FCcB+bHnuAPsdlFSH1Gn9mvYC6d6av58UJM + PW1XjWsjisCxXg+m1/kLidfj6gHHOu/JthENc1nHHUbxs52IsfHOPuUqXoFVpyFerIIwZVjyFeV4 + 2N+Y0xS0mIbjx4O6v7yIczE3JlPgdUK6GBXM4dPOH+d+DN/p0TCyfrCq59L5vE6WcjnrQ+93e+uw + gqN8Q2xD19ycHj2P4JqPNsOEblO+rCsb/XiUdtDidiiTgweqAB0eNLIrJFs9nsBhe3HmRYb/4xtI + vu0FYiXXJafJdXiosta9qJhITzSIWYVhvdtJJN5UDHWpu05Avxx1pjVFUI03tj3BR3bWzD/XFeez + v/jxJkJURfPb4ZY8YTEdNuzHKwcq3ygyb+TItPF251MjnT/KzDfx0G/HYiTRBytdLh2Jqz+wz8hr + 2P3J48FjFfvsm4QAy+R6Y1723pr9Ekysju3pw1xFNKof/0HNxHbMcdUPGjvqCz/ewHBioIr5+XUH + s9+hpejbVZvE3kkRqdDM/KszuzwaVmpziYBtBiK1Y6PiBhwXXbA883P2Pn4Oir0wKFZ10/b7GE1Y + neT9i4X17VLIFQ0c6G5+goX9pi84icoG7dHpQdfH1C8m0zMekIqeyYJwyzlr+kfz25/Bk+bbiIue + 9AB73byYt6vNakzqRwlvJ1xhUd/45vg2ogDmPES8XV21XH0vzxDaHqc3ZYmLcQ07C/aMFCyc+T43 + jh+sGOtRY945Opn8QqkNfH3esCBwDXPmuRg8ox7pauYVHBn3p/ocFvm8X/RIeWMoJzTXC7N69WPO + /fkKf/KLuWN8jCXZho5sLUamq5KOddwOaNtGJsHmjqD+Y3xtQO8uZLtGkQum12iCviYOFub8NgVG + tlMkWSuZqegSn/T8YKFQtQJmvZ6iyc7u3f75GzyGUKHBuvESplI90847T+24/WwpFI+TP68vnA6n + kgYQ39LPHz36eJB26CobBTFUGxc9elMHSjtOiXWvhmqwJBPDPUwUrI5P2eRr2JWQ9cWO+fHd99kT + KfSXN4nH+srvXjfdUNjEKzzNevlagh+g7+N6poMsWf4w91eQcu4TM0cal377UcJt4+AzSz7V93Nc + TbDfCz7zJcMo5v1XT0V1nLNIh6qazuWiBBGLmJFVEBajk4EDc34kxIqFduYtAMvQ3jNtXi9Mgf70 + 8xvzeM8+JaYnKLzgQDCQY9v99jPKcSti+bJNqulNhQlm/SY+ojYfFeProeGmLWm7OK5Rr/TOA5r+ + 6OEhN81i3o/D6ELhRZL5/f14ujr5lUWF++2JxmtOZaSGR0zlLmjToUeTBXM/JES+XdCf77M/IfbM + i5nZawNaUZmwoF6L7VD2dwGC7/rKDPum8NF4W/jn18kmd/Z8kMyiROhAfBLO8zOtbu4DHQ6OhJdZ + X8y82RPAIXFN73GtFNPUx09Qit2Z2V3QFvP+3gQfrXv8eGPL1vEzAfuZnJnVfdx05nkJyKqxpbxG + 6+rnT6DGov9nv6P/JtdMKY/TntlzPxmy0rrC379TAf/5j7/++j+/Ewb153J9zQcD+uvY//O/jgr8 + 83Q5/VMU5X8y+c9JBNqdyuvf//r3IYS/v+2n/vb/t/88r+/u73/9Jf85bfB3/+lPr/92+R/zf/3n + P/4fAAAA//8DALL3VtrhIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f5e1c301c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:47:57 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '193' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 3d4aff3a996525e62025c9460288d048 + status: + code: 200 + message: OK +- request: + body: '{"input": "This is a sample text.", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '99' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWRO6Orvl799PsWvf0m8JiCTsO2aZTFAGsaurC0QRHJAhAXLqfPdT+O863X1j + lYiCyZNnrfUj//Gvv/76uy2a23X8+5+//n7Vw/j3/1iPlfmY//3PX//zX3/99ddf//F7/f/OvL2L + W1nWn+p3+u/D+lPe5r//+Yv/7yP/96R//vq7zc6QiNEtAsTVIAHdmQqEix5cQd3IiaHLrg11lExq + iAqOCMp7L1jfZw39tDCG1od1hMlE9Sfdmx14V9Qv9hZ/ZyxSKD9B/pyP2F3u1355Da8UxNI9RMKS + D+wrxP0TTkkeUN/q3v0kat0AZnm3pZbIXaPld70LJ3MIcs+rPy3HA9wRnFrUlhIYUQHhJ7AjSURD + 6pFiGfDVhO2CPIoj22IzSHIe8vtgi1WaIzD1w5cDbFI46rHTwEa9XHRYHfcnIpvTIxrraAqV/bid + 0HC5qD6vTc4JlPvpRradvWsIH4AOJqOEcPoSD830qEYH9G9rQ9WLLkRk2e4J8L6xQDVuGNnw3Ton + 6GilRbVj5hut29pXuOcfHLa389BMrHMreGsvb+rsjk0/ndRU3nHmo8WuYRSAPXayCpUl7HDwCh4F + NV4gBBZRGxr32bcfr+8+gFyBBQQ46d536ANsmeO2Lg5i+OoZS6UOcs3pQuDcLAYLOL8FGymdsEab + F5i6VxHD1/O6pwHEm4axLhfBh49iqjafsRkP/AdCJWp2RMjPmA2vfiHKfhPY2BH1mU36LUohBQ2H + vc/dbxYzph3gTDvGmqJ1/XCyppOSLvCNtdp6RHP6YhBm0YdQVzETn0m9bkNjuiXota9Bw3Ay8HAT + HJ7UN5sFdLuLeAUnqTUoHo8qECNekOWL6bnU06kUTSqMeKg+zhCJwnUylqD3FlhK0wHfuAvt2VZo + MxjAVKd2dGOAXjA/QHL8mNgSoos/sTnz4F1ybLwPjs9oeTzOE8ytV0B1LvOi5d45IsSdrGIMcweQ + axxDKNkXha7fN6bHQYfKaCAZTfm76YekvORQUYScaneliYbDfebhOp7Y4aANJnpqM9hzTo3LPHpF + rB/YCRSVXKKlSw4Fw1+sw+cweTi3rbu/7LP3E7YaKmjAPaExLEcLQoHYEpovUO6pVfdvKBBToufk + hCIG0sMVlG+uwUbdN/40fvMTvOR8is29ePen0+V0hYFcZURGm9hYWhNV0BNpiOB3msBwwU2+UUO5 + pejevYyhmDsRvnhQYFwPTiRymXSFC1/c0JJSD8z9KEjw7HaMokfS9gO30RFkWvyiehG8ou8SDh1M + X2+feumSFF3FAgLGG+sQJ2Sv/k9/CZNWpEh7b6LeFxUVZH13xJpR+uy3HiA82SLpdYlGs2a4CNax + nBNY553/zLNPCOdoSnEoXx9gjtBJhOY7/dAAvxK2hO7yBO3WHqklbayCHrlFgs9h8eie0x/9YAn8 + DYivRcAHLsyaPrMlHkRAmrB7jKt+iBDvQKx4HOKJV4H2PPay/JpUiez8QG8EJGspvG6oTFKxyxir + zsv7z/yaV/wAs3C4chA/v3vqvNC7H91Y54BwjRB27nbbTK7m2fDLvgeMj5uTwQLrlMJm6jZUXb5V + M4TbnJNPfMDjtZ+BOTf7BQ5+rWCTHBM2cRdmw9bbPKgf62ox9/augmOiP6k2qWovfv3E+fVDbEzh + lc3JlIe7531roE10yMGMtVCH38MkE7mHtjG/TokItzutxq4mMGO6Xd8IvgfPIGJuDNG0bWoP5r3u + 4YP7psYiEmADedpnZGfT1mAzvU8wB/cb1RVP62ndWjZsvGkgYHe4FlOtPzt4eEWIqjGoCsazdID+ + oSjRPMyIUUu0JqjN9hWjT/mOJmjiAKzrDWs6Nnz2GgIdKMo2p+jrfMFyCW8qGENHowfZbZqhuKmt + crvyAkXpNBnzTVBvsBGaGrH1/z8Dy1WhK5wO1M6Epmf67dlCTKeGKMMSG5SfH1ewuXg9NX1rAiy8 + gutOejkELVIY9EvjSB1so/uFiM/2yYhmJg60QMZh21ZxMb9t/SRjujRU9feiP4haTeBNxiF6S+gT + TTVIODi4NEKc+CbFbLycFqA0VKgpP44Nm3InBQ3JVBq1sugvifcQoVcZBpnzS2J0a/8BnyJ1qF35 + XbFU5m6QfaM74+ByqXzmObUKLe+Csb3W49BQPYOyldZ4n1ZnY9XfGL4IPmD17kU+2w2bFNS8eceB + lTb+E33UG7SuaIdxuUTF4gSFCn7r24/1KmL4u1cBapCJDfLaRfMpmx14FTgeq3YHerbJgxyg1vzQ + y8RfiqkpWgTz75fHe74/GVOc6hMEXPmgah7e/GWouRAUeYCx7mZFNG0c24N90vZIPiGLPRE8S/Kq + v0jkN0JDHX83wD3fcNRdsk8/1188AK2877EFYo1tR+UwgVvqtdTStlk0TOMlALqR5Gjaqw9j/npu + ALZHWcOebd2NCT2oDaxznOKjoxX9hK+1B7e8t8GqbF+jKbA0HfK56ONg6SxAPzCtoHEcn1jfsiMj + fniB8LjtYhpAp2uWb6nbcHuUNLJ5vfhmVl5jCrfyNiDMIkeDwkkM/+i/O/GXaB6xkoG1X2IjzLn+ + E1VyBmlvd4T3rZCRVc9AckYaddk7jNpfP+5vsKSGa54ZC7fPE3xnNcV+Z8ZR39BigEki9EhUk8BY + NgRLQK9GgTq03BWsCF4qWFDjo41qRsYMjZcMdviK6ao3BnPH2YOP+WjjfeRNETWLGIIhu5oYsfDT + /95DlJ4UjO6z7I+u2i7gbC4hxQ/N8qe33bx3z/gUoSbMuaaXTqgGWM9djBPUgMWNHh0go88jwUcf + QIxN5kFpGu/YVT9dMaSSjkCfPxA1DdoZiypseTmLnBxNqtREE0igA79u0mO7OCbGJMixDh92HVIM + FGQs8Oo4iuE9dXznCWyoxYc1sIjeoGH1j4tYhLJyrl8bQveR2ZA2YTeoS1NGTWUyChYdwgByrQcR + cNUxmj3CFnhrizdhg/sBtDVGJGunc08U/lZF1E5DFXriGGLf3j/8Vf8C6A5TQt2qbBumwpcDi7xv + COeYOtgeKsODwpRssXpidTQ9qpcDX8CLEf8KfbbdXUoPFI9kpkFbt8bQFBUC9uN4RNvd62PMyXQK + wa8/H9SXZSwxfi+gDZhPyIHaxqJ9hxMko8uv/dFl8/sQSnIpLQe0TS+1/1vPkODYwq6kVD51x50D + 1YT51EAU+DPdGTcozsmbah5b+ml2dBtmX/FDD8WDrP5+5wHhixKKy4UVE8uuT8CN2jp/ZFO0iZmI + 8OFnDHFZwZopV7gMrPNFndBMGLl+Nh74htoOVa1fRl/7nHdwvM0dEr6XGiy5qd9gc32n+PCZv+Cb + LPsKhvnjgoSNNEfk8Z4deDankPquOhYDOb9SuNvsW/Ktd7L/hl4UwDDpROo5tmPMm/0gAmi5lLoj + OPjz/vY4yTkob4Rq/psxfv7e4EeuDlRLBKtZ+5sOPyc1Rc+KHQvGS5MNeRYb2GbxYoxL+Ozkq7w9 + o4+kSeBz/ZQ8uHaZQfXFIf1czdMEnjlXUUcFI1v156qEG3jGPz/I4CSeoNsmNvXug1eMh8vWg0y4 + HMhFE6JfXnrD9H4+UvtJd4B51yCQPci51DZ3oJm7TceDwE8jGjwU2i/p69TCYZwB9nr49pc4UT3F + ZFSnfk0O/UTf3hM8gwOlf/x3S8MYpuXjQ+Td4w6G/Rlw0HRggNHRGsDktugGpqEZyfjcLGziA1eF + a71jvYjyYvUPJ+mdpxds2fEJLLtMC2B1KBVSt+oEmOd06m4ynjXF24r1n+02aaEAygi7IVf4LDpk + ARx7MiPhmFps8opFgt6pa9fxf/Wrnngw22KdgFf1BMQl+fX3+9QxxidYFvgwlQctC2yg1jbYVqhy + aY6WFCldJ/rzNXJ1IG2LAfUnbVsMfa7ocJsuT7IThdqfrp+gArlKvlitBLGZYKlPEMnJC22toWf9 + z48+5sgmW2W4+mR24CAPLciQwFtTNGhGXUP+nUPy2Zauz7K80OG0u/FI+vk5FRbir56xdjZIsTyb + 7w1eXH0g0ta1mqGQ5qvyHeAGG+FkGkt6lK7gRQ4HGlwMuSfBuX3+/C61g9f+z/gq+H2bsX4gKphN + YlbyqqdE+OlddaG8vOoFxY189CcVOTzcdFyChOLW9Ew+aG/41b83mhS3pplivX0D4Zz1aJ7Uqiea + WTrAHxxE06F4G8T9+CL074c9tnBfR5P93NfwHqgytTn13lR+49bQ2Do1NXeRwyaRKgN0U9uhe593 + m+mDP1doMxugE9lB8OXUNIBrvyC8X/fRlO42N3huRYkG6s7pJ+P1hcC5ZT42ONMGf/QiIlVCLec6 + gRkkJx7yOe+jLZCbnu6GbQqbl40Q3wHsswvMb3CfEvynPkg/xm84P3FHMbl/+/n51BeQhBsHAe0w + GFPQZQ6YS9uhds/10SLsjpkSTSymtrm8G/rLv5XzylHt3bFPpGc8QfFufoiSR1axeNex+vlfsvsw + 6k9x6i3wIMk12ciXO5sG9LjB8zgWZFG8R//UurcEFSW3sQ70pplvTkd+/hzvd6+PT2N9lmEblRfE + bSqjEFLfd8CpvnjY+3rYX86qX4G13qj9uDB/URG7gZWHYKes5Yhs3YaT5+ehW9e3VoxtGi+wyfw9 + Ei7u3qezU+SgImqG3epZNgvWew42YCkIf06Cvi01JQePjKGVv9g9Szy1VkRJY3/6xxwn3+uvnsl3 + zUPsA281jKY5pl6cGmArH9w3tM5pStWCDyKSSpAHcA4Bdvnq1XcoziT4KIMStRx8s9kJYAovTYyo + y1dWQz36zqHPtzbd8/1iTBfc5yB6oYYGoKfsp5+gHrMj1a9bh4lePoVwFo2Yamofg6V7WxDw/fFO + 9aP5aSgpQxXWgSDSPVNJvyTel5cDGOtkoVgvxudTn6D6SCDeA7lpxreth0CvqEARG2uffZBfyXtB + iulhAwq2GDtuAWs/oujZ04hNp5lA1/U1AnQJF3/605ioT6oHn9EfxkQy5VU/6P4WNMV8la38px9o + KzhDv7wZ4ADd6zo9DAvvz6/+kkNNgBvs2YXZ/P4/pG+0/9Vjv1j8zMO4twX0WPsj1abjEyjVXaWH + O+c0iwBQC1d/Q/UikgvyfWYDfPuvFm0czvEZpJqquOPhi0mUfwv6afkY7lVVx1mxTcF4wbqprP4Q + bUtRAT2IMwSVID+jnWImxtJf5Ow3PmjDWYNPFf/jwHwmGeFL+eXPS318K92zg9QeCtvfYmMjyS/v + syPCEzoF/fGnz0lP0aQkxG/1Wanh97DIaGvLcTM7VVpBPD8RNcOr2k+1PrSwDHoNyVeZFUu3cWuw + 8ZcQm/yFgTYpj5myQ9YOCd48Rqy6awjejqG16qtRLJv8NYCH6H+xSQXTJ62Jang/jQ7FzNgZ40VJ + bDiXpoMkWl6i5aXun3Ao4w9WVckoSEMVFUqaaVPNuaX+eO865+cvyfPujGzaXXwRRlfSY9fJ+370 + 6zaAzD449McLFruLarj6ZYocU2dLrXU6WPWByI/zgU23K0HweLZ2dC/iKlpcDQ5g6+Yu/uXVP/lw + Z6YMbe/54H8Zt+3gdjNSetgDvxfI7dTCa/E9Ufe2vPypES86fHRPiQisTXq27z83OXm+r3/Wz3Tn + Xi30P8OGBhtNbObxbOo/XoneXvkFy/HZZMo0PEZs7aWHwXzvfIL3E3UIvJ6CiN3qTAJ32iIEneHL + +p0lQxCV7oaIi/2NOkkJU6iGUku9oNGbRS+zQcaLVlOzYsdogaWSg+rD7mRe+xO7uUn8y7eI3/oe + WOx0ThWtLPf0oIdOMRNvukJ3Y0Q0mJJvtNxwpv7qG698qPi+RtSBsjqliOcvjA3m/nuVC+YX1Oyz + b/OHl/VDKqFm9wkiUo5hDTlveaDacNti2bBHCAuj1qlrnw79fHNqAo9luvyZj8FQTzwUdv0XzWeD + RHOpxTYEh/tCtbK1gXBWnzyUz5+KzI4Geqb41JHrYCtitPKsNf88YYLdkoiOcyh2yvYUwlpSdOL6 + gd4v2T53fvVKreJmNAJ3uSzyfhQmrGc5iYYFhwMIPdOiRhQI/fzebyuw21gt3aMxYate5UqSbHsy + qZssWo79ov7xf5gZF38ur4H082tkl64413nXNTTOXLnyKI0JR4nI4GPt8Y9XgfZRjR7onVNIZvf1 + ZYPnhOSXv/CPNy7dqV/AfoNsejBus7GEEwdh/JiNlSdsDTqArAZ1HQqIjseKLde3K0FklhE1yOsS + zS+OveWj3b2wtd+IPsPGRt6t+YUe6D5slnLMKkg45UbX/A7mDa8/ZYcId4z2n9YY1vuD0VY9YCd+ + hEU3P6RQXtcf9cV48ieeHbI//U6slUcxvpdWhcSTRXpYym3Rp89dLP94uqY4m55m9iQqr0mXVp7Z + FrOkzB08KMwir5ehRNP02YrgPu8Oa97d9+RltRCu+vgbH/AS2sMCMi2eCLRSw+CF906EYrTxf7y8 + X/YZeYIy8XY4oEVsMEyqHGbbg04k88j3Q8Yvlew+2h01LjPxGZy4EDqvZlz5uBaN5TjzsJvfBpLN + bRqxaazr33xSm2zPDfPoO4Nv/ShiO3HP0bSIpQnBEDREHIq3z5RnPUBRIwc043HfiJfv8Q3FSPGp + yhc7Y7mEqQrfi3ik6nEgvRg9CvKnPmxjbxj86l936i6749K4HX1K34X0u3/q60XM2ADCCh5eR/SH + 986WI+TwtLPO2G1DF0x9LqgwvlcmPTiZXUzVcjKVHw+zxy9i5PlKB7jy7pX33ouVL/OAcJsbdWW/ + ZfOAVAf6Ti2Tj89/+zX/1bDzkhwbabEvpp5Jb9CBxMV+5Pj+NpWiGnrP3RvrZHcFbOXH8sqH0Ibc + 3Wa8vhukrPwIH/SwLab93XsCzV5kbIbXqn/UyauG5/G0p2oJu2g096qnbNs3IpIr1Gw+Sm8Jrv0G + O7S8FONpiFLwOFka3e/P2J/KfOIgchORuiq5R2yTmzm0dSvA5t0ZwXSwxRDS53ZGfN5HBS3J8wrX + PIbV8o4Ba3QBwk+IBupVoezTcl/ZSmFUOr0yCTVsLoQ3bLWernyD+GteWSA65jn1bjetITEMKlhd + EUFS/kX+dHNNFb7z+EJvm08WretNgvw7g+h147vi5z/g9SgHZJuZr2ZSMbfyrzTFaPWfbGPXSJk1 + biDCtzoDITmnA3zAvEbbVprAfMO7FKz3S0R+k/QzkrUY0DgvqXNsTYPcxGu2W/M0XvNAT0aF2rL3 + vJ3ojyc9yZI6P73H+v5ds3EuPCifbrOAVbr9Fstm71fwMu5jIo+fbz/fvDOErRYUNPMr2//GyfcG + e2d80kBJo2hZeQLUc+ODFKJe2fDjy0yOJiTZ76M/M/NoKkvtVehlxyc27axHB/djdqW3x2IYf/jk + Rr/eKDqIwGAr34FcE14oDmLEhONGqYB5ECnWWzVkrUnGlb9x5dqfk4YgUJ5gPEh37D3OBzCt+WiX + dREgEs+7xnbN76APF4fMoVdHX7UNY/i2Rws7xxPXD0juWigFrbjyyI3PDmxM/+i1Wz2VZkSyG8OK + uw9Ys9PMmPRbEQNXdiZsb54jWPOtCjV6mrHG74X+FYpzB6kvv3DwtMZmHh51DLWvIREJf4DxcbUi + hysvxy7XNsXMca0sl71gk5nafsHuHMeBE0of1Lg2VjQ9j64Mghm9sVnKliFg4xD+8UNicUz8+c4F + KdxJl4Lq3/2zJ9xw6uDOjBmN8k3KJm1yQqiH4YPqyaM22mvUxT++ho37dS4WqwmkH88lkzHTiB5P + pQdnGWyxZ06PYnlu/RZ8Cz/BpqpE/vq8KJVXnoDktK8i2ia597sfjO+p1qx+Nd/BzT1E4iSp/Zof + RWhZ9UCGgHFg0Lq3DJvjVcaJEO38IRisTLk+fY9MTnL3WcdVCJRVmKIebFg0GZGgws66bfE+8/N+ + 4bLpBlwGtnjf2ZeGlEX/3hWSwVGPD2p/HtuJg2W/tSl6LI3BjtwiQ7nkL3+e7yzfrSyB9XkNNv3a + j9g5MnPIpecT2fW6ynh87Tw4pF2OljJuiinI+gCu/ps0K3+cZfnLQYNaHJLm17kYy1g8QcHTQ4pt + 5e7T7PFtwRadBiSdxIDxziHpINWfjDqPTczo7/mStl2+1NrXoO/7wk7h379dAf/5r7/++l+/HQbv + try91o0B420e//3fWwX+nZf5v3le/DcV/+xEIENe3f7+5/9sQvj727fv7/i/x/Z5+wx///OX/Ge3 + wd9jO+av/+fwv9Zr/ee//gsAAP//AwBQut1b4SAAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f604db71c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:47:58 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '144' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 75c264af975f35cced39721c5a215f3d + status: + code: 200 + message: OK +- request: + body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following + text, covering the topics present in the text and nothing more. If the text + does not contain information, describe the type of text.\n\nText: \"\"\"Grocery + list: - Pancake mix\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": + 500}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '319' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SPwUvDMBhH7/4V5XdOpdXZdbmNCUP0spOCSMnSb21smi82Weko/d9FkXl9713e + DFNDQvfepuv9/vTajpdtvgtv9GxffPe0cfX4dTg8biDAx0/SERKRplhp7r2laNhBQA+kItWQeVGu + 8jwv1qVAzzXZvzyt1WicNmmW3f/0LRtNAfJ9/tWQSLZJM7Cm4ZJYE2Ki2UVlnHFN4pXTqqOkN9Mt + BIyraYLMBCw3fuBjgHRnawVOxpnQVgOpwA4SIbLH8iFwDqohyBl+4N7HKnJHLkA+rAT+R664FIgc + lb2C4m5Zbr4BAAD//wMARi4t5iwBAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f688b731c83-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:47:59 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - text-davinci-003 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '733' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249500' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 120ms + x-request-id: + - 42bac4c61de60d9b3e8c79583d7e8387 + status: + code: 200 + message: OK +- request: + body: '{"input": ["Grocery list: - Pancake mix"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '106' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R62w+6zLLl+/4rvnyvzI6ISBf7jZvIRbsVvOBkMhFEBUSu3UCfnP99gr+dM+e8 + mIhEuqmqVWut6v/4x19//V3FeZr0f//rr78/Wdf//b/ma497f//7X3/973/89ddff/3H7/N/3JmW + cfp4ZN/X7/bfj9n3kY5//+sv8b+u/P+b/vXX30a2TMmuuL7N7zW+RuA/qUSVUsL+KO+NCgzzTqlc + n+N4sIVHgMrl7s0scyhz3jTaTpXWkcduVmHx6dyEjdI+vC8x0gzlY8zWBcpd38ZCCpPPB3dDoYnv + Mh3tdDDZMWE2SvBhZOQjirx7OIUHrxLLzNbrlz+9vuIB8sOrICcwPv74rKoAtGPcYGl9wS1b6nBH + NDV9WsgU+IS2wQmOSfxi+zw/8YR5QgfqW30R+8ND3vrseAFo3YAY+qqPm+e+mpSP+qVMaxOC2NT1 + DpRE7ol32Iltv4rvMtKd/YpthOxtdnLlOXBeHB06vr4s7sqkbVDmDxoxjfdk8tNSK9XgLdR4uYgN + c7xkowFRkV2YfaUuGkX6TYGk46ZX6zHgfNwdNPics4R4+82y7cVxPcBZPH/xYkX1cFomSIHFORXw + mhaMT265jiA8xjc6NeUBrUyWdyopvZy4/JSgXrltFDjHT0b00fT9ai+7AYi9IWLRFax8lRJ9gJWd + I4pa+RZzSL0XrILAYP7B03OpuL8v8JHzA/NKCZu9TXwZ/M6ZmLNr9v6wM0kAi9f9RYea64iem7iB + 9N5s8UXzWVik2aKB6hJrZLcjl7z/Pl0B8DHSGMkFNe6EKNtBc7ncmUXPetvU4cFQe2u9wPL5rpgD + XDsZ+rxRaMZ8Le8acujgTsuOuR8xQ2y4VwEaQt2i6znfxEXaigDaqGNBPFshc05ahp7+90gsXcfx + IC4fFtpWTKHFe/1B0yUxI7SuhhM5INlvpxfYHvjO9cZMhx3ModGdBCoF3+h6a3PeHfaHDDaDL9C6 + thdmz/H9BLJwNyh93U1z+GxIsj4nh9MvfjnNVTNFdVG2xCefY15Zr1UKUidgorvqMudrh19QtBlj + skE44jy5RndYhEKBp75nvEvxZ0C33aci7tlXEd+jpICrGOrE/Hy/+SQpR4rCnEYMh6OK6OZCX2iO + PzNK3IR9bo4eWHF8J7r6LHl3UYdMdXkp4XVwrHx2dzxReXxOJ4ZTmMz2aSMHgk726KLI+7iTrIwu + sKJ2zLqG77ByR+OighHGeCg7g4vn171TbvtoT4h3p37321+wLa5snwV9OFBLtVC2qjriyscwHPdj + 2MDxejWIfVqM7bCNuacoz/JNXw/WtZypRgTxKEl03ezqkH1rQ4Yh2mTE+mgFHzeifAJtcD546INv + OJqfZkKHw2tJou+pbNnioyfo9nm+iIYLORzATZpffpFN7TJzTBCIAEVxZycZ2f5QteMOvqXb4skS + dvEw7xc9H9uWaH6T5fP/D5C4u5BdbsU77E7V+wRv+n5iOT4cQ36oHA3Wy92BOCBLZhfc4mF1xYs9 + /kipz4esFkplees2xGXLa7zc2mqgnKvuwMJF9PK7hXcU4Ko4Fts8Njc+rwerl+Co0nWYkXZ4GFkG + UDcy0S+6x8XFtOzg0AkD0WhOUaPerjvYDK7ArPf6w7m+sw4Afpex/SV+x7Tx9Ui1X7eQiolJWxp2 + VQPbwDew3PDO7/rm/QKzrlvi1JmVU/mxxsBvUzvfj9tpJwsBmMV3T7b5ZZ2P6+aVqrER2WyrPiM+ + KP67At0hK0Ie1pfTq3RRYCktJcwnsMJVoOxkyIB5zPZue3P87r93tOikmLln7dW2Rt1YCkzZwMj5 + k8VUXZgNwnEG9HtzYjSo5BKgxVtWyEZvQ3MSQyagOb/oc1d15uQwxwCvuZnMlY88pOIiNWB0Tis8 + bDcBGuUljVBy73rMHTb436RtDrDtrZzsk+Tij86Un9QBKYg5F7lBU3C2UsiJ4WJpG2Cfl6vYQ9bh + uabqZkrCpn/YAbjm+c1IcyvyYdwoEYTK8YBh/xL8DtejBidJeBNbTyTec0W7w7TRHLa7wQ1Rl5wx + 3JfgkcAmfH5/dQPB/eOzbZ5nvBLdr/GrX4KNY84n238VYJ2kjBkfyeQc3KFRneZZ03fXFvk0xxfc + Q2GQiOwSf2TxJ4DEWjVYEhZJzrD1KtHJHxtCKhSi4aIOL/WYDwKu28eAhuQCEdobt4Ho6OigMRBO + GO7DdkvsItuFw0q6R7DKp4Rt5v7FI1nFwMzLgmaHZRT2YzOJSP+kEdOsi5KP+zGulCoJTLoQTh80 + KfqhU99LWWVH9WnzoRf4HczQ4sQeV645bT9gozLvtiwuBBPx1SeUIP/KOnPiasW/7XssofYppx8D + lPYlRWIB6vqiYvnkTnmfvOsT1FCreGWEFlolC9GBnL8jYrlCkU8VQpPi31acmUpco8FZHwDFqaiz + zVyffLHvD0BDhTD9fhvD4Y1uHtoMQk724SkLZ37SIf9NjsSzzk4+9iiy/uDvtjcfPt9mh0Gd6vxC + ttT9hnybRQOQlG+ocnM9PgXEkFTDWjtEf7yGeLyqVgYzfyDaG0/m+zAdALxhAQQn+xufVp2e/N4n + li7Vs6XMHGx4NPeJeUBeYR9K+xIGSXwwd7PcxdyoMxsc/TOxTTOpfg0nt4R8fY9pMfdTbj9xgp6B + wLC6t612eF7XFG2XQkwXbdP5023TvYDl5Yl4tdr7/PXGFSyM1KOSnlz4eCycDrrd90o/nIXhsKPq + CRz9O2Fla734OF4qAezVNLCtEVp8kifTQst94BJyG54tOxphAW7VnmgWm5LPuWcaKNiWVxrS6ykf + gT5s1A6CTldb88i7p/bIkPUOUuI+S4t3V/Y6QIE8jypP7xlOt/FeoM+2tBkJr1Y81I8XANmsMdGv + QRBz4xxhuMaxS1+hW5kcplOkTo/NnWDhIiNGn0UByo2lWHi3Xj4eA+qBftMS2uSMmN2OLi/AFvuG + eJJuhKN5PCig7tMjs/unkXdmF91BFKOA3QzaxxPn9wEuqWay3biKTR5n6QmdPsmWGYt7aI6WqVXq + 973dz/spON9CdwCR5phYecZRJ1kNBVmIDOYH3ZA3LNIF6FLlwpxvt/eHTA9EZNwHn0SLLw25oSJB + uX5Xmz/40HmZYkN5vDn0edqO+WREKIPlYyFQiMKWT/fVCcP1cmrZzF9z3hv2AM36jJk3KXk8BkKy + Q+6TJ3hofCfkz6newQ+fvc/HbqVTeohQiyyV7W/nq8+O1G3Q16aISkYvxMPh3fwb3+Z+G0/ZyhWh + 1xqbGfXZjZdPacgAi5GI1Xqc+OjvYQf3OsMYrujjjx6vKnnWCwRvlRGxMtcDYF8nIlotLHxuveMU + hLH94Ka3dubKjLYZ9EmY0Gk9bsxpkK82aHlX/+FD43fPIoXvT4xsVOsQVkuhNkBUFh6GcYV8yrTP + hPKlOdHluTzF0wKEBn0lOLBkR6R2jm8EblWfKHaHOu6Puy5DbfHa0FrYNvlAmFIBtVuKByZewvHT + bGWEyVYjFitdk/vXpYe0wfsw/92gdmBY19AqkhRG6Nia06kINDCOV4tt88stH1pzNfzhA/H1qMVj + LR49KI+xQ3USl+FobRbCD3+owkrkTzh5TEoUkCuzw0sejthnGOU8j5hGlk/UmTW2FP9eRWxP3XXY + +eqm/MNnMSm1fDi/AvrD05k/G3z5ap8FuPdOoOWsRzp39E5ozc47uhQy3Zdwcp7ADtUrVr8IhX0e + mZr6uRcKubmnkTP2oTsk5PPulOiL+vZUXpCruJTWyWrXjg3uKHiaNrHt/sj40LKPiKIBAuKZQ5T3 + 8rK8o9f+qmFJrzWzP/eCAMtVE1OPnnnLd8sAkPt1FDzrOdSBGWuwDVyDyobltMPHiBxYpkNOXKX6 + mNy5LCS0/FwTYlI2x7uLRQgOCSG7oeQtPY6FAHnnKszc4WXb6ivlAoqarWjwfY6c13KU/Pgd2dfj + hFr7aaewdwJOsMZDf+Q4OMHGbxhxt+k9Hhl301+/ZLbrbFrxeZRt6AdbIj88rtabl6GKX7iQR+FY + aDKsd6P6J36my2Z6+OOwNi310roiHrVK5oP1WiVQXg8+zlaobydaBjsoHqimlXpI8mIpvDWY84Wc + +XXHqa1sBOi2rzVGcfLIC/s8ZshS6Y1tA+XBuSs+KsSek4J/+NoLq7cmn26az3b83HKeqsxB66vK + yOYbrlqWjLkCAkFLpk+nKR/E3XgB+V7W/+bfa2E6gYuPBjGLi+ZzFGkKnC1lRbTGd2K6Ji+Ah54h + 2pK9b0plENAfntAJ2jvqH+HRQvN+iNPwzuSO0QPM/Rmv6uKas3MpX8D7nD7kPilmzMXikoHhqiWW + p2DMqVuu7/AI9TNWq1cb07RxA/CnvmW6tsz8wcMVhjn+bHdFG39lWxPApLVPpkXHGI1zPUPcPCP8 + CkwVjYursEOrz0GiwnVj+6xchR7EqZ6wH98dTC27oGwqMOVv8va5Uh49qI6XDMPLW6Huqn1lGPSs + oSq3Sbuk9TJDRhJ86EBzyutu2nlgqd2NuFlv8jF9JiekNC/z1+8RS+6EAk+X7g9/49UlqiwQl0qH + hwfbtY0X1R6Eg3OiK8DHsO9zLqNKPF+wfP6aocT5fUKm3ayIdSpqc2xP5QksJyqZW1wmk4lIoWju + j3jZTKrZvEcNQ7jcTXSNtDbnydjKaNZfZH/nX8QVDAI8ijdjrlUUaDh4NoZIMgZGOiNAg4dfO3XR + XnRizPEconRDoTqeMrw8l2I4w2IDtnPRyHZzzzmnfkDhUeSMirnXx0OZ5JXKBu3A5vpvK+2q78CJ + FgTbQ/nOJ8zX8ONjWOaDEf/0m1KzbMccjb/NWS86sHyoAvHfq4KPsixTJMmfD9HxGfxxv/kUIAlp + xTa7OjUZkaLgz350W7rkg+c/ZOWXT5K82fpj6hsp+pzYCguvqW4nAd8O8JXThrnDfRsO4edpIFUM + nsy91DRnt0tsg4fQY+abBe+pfpxAPTxtKl1pzWd+UUJdFC3bSUmDeiTl3Q8vmCYsvHYSwy8oLg4N + Ks71RAV8DNCEpDMdbenS8psgiEgLdoRsTNdEbI6HogpxTF9+k7WzX5Qo9k1fEnOCIubnnBogHbKQ + /fKLSVvB+OlNFlxa0v7pb+DTjNlJq8US7GMBvWAcSL9cVn5vnzcv+Dr7M7nclxVntXxIAPXDjhDh + tEHDse8b9MNjXr3V8HMsHAqFNL6pKKPSp2aqOtCVak0nZ9P+0c+qN05v2tOL0YptHAMotz7Fa34C + VF27h4Cc5lETH588c9IJK5EWYEJ222cdsuhwTH74zWzNJ+H02d1sBA8MBKubYzyeRzdAa0tAxF+Z + +3bWhwfwHost2Uhpi/i39mQkPJwL8S5Gi9rS720Au7KIbfRpzJ828iC5037+3eeDFIklRN5qTeF5 + 9/LeG9ITjJ1zIO4iCszBei0SdFLzGx7eOPDHcy8B/PDSPUdbc6kb5gWU6XshXilR89t65z96jCVX + GiO+QSWsvWtE2OW+dNCndloLbcVEJ5qDmnBY30ZFvSfHnu1SNzfHcFvtYPa/CJFTnA/pS7uoYDcW + HpRv4c9+VArf5nXCip9s49V14gW8lUXMNCs30Xi+fWxwnXhBND2x0IqniYJm/4CO6Xjl0w6cAs34 + x8izvHD2yMMKRd5yzbZl80acrLcFPJeLnI74nPi//FZnPs/cc/Q1vzXaDtCtgwqL11CPOVO9+89P + YA7IF7/P8MpCU/2+sN1kWXHv7ARFmf1FrASoQ12w0WXFG1Qgm530jceF2Z3QDSQVz+v7tx/61asH + Fb7vN2KrTyhCtxowS7ZPN2b6ajr99D/RK/uEOH12Jejyc0eFMr7mQ6bfRfh8NQmvLzVumwrxCbJ0 + EonbGRoXP5fGgIvPLEK8SWwHAyvFT48Qc/ZjZn2cKbP/xTZ0Ycf8mHyt9awPCEnPLKzt+hqhZenp + FLL14A8Gngr4vIUI94dP4/eW6TTQIlslzsbftlW+PaWQ8PLDtnbrxzIOTiJslxCzOf/9YSUFEbJT + RaYc6i2f9GCtoEUIBdtfsGz2Mz9DtzLYsNkfRMPkgwFofcuJN/NBtoUugIndb0RXt1o4Gs/aAWFw + fbJ99H7Ogw831vo2M+ji5duIHypNg+TJfap8IjWcLol/X6sLrFFeyswfu8lylGZ9xT/+ZE6H6y1V + ulS+sHDVjfFULRXvly/4FbqOOX930Fzf5I/+n/MbrP3DIq7KLFO8ofwFVbeQmSE9EjSlEaXIZBkl + /sF7tyOSWorqlH3xdL475nDeORKaPKv85SuaNkZSIce4Xykf9p1P06ikQCPoiXFYyvFgW6kAqUhE + NvtjaFh4R/jVD11HT9ucqvcrUFYSPzB7XNUmm7SFrShvC4hhCV3cz8+HXSWaxGc7PR+CjavAzDdn + v8Dl4q/+fvlAYjzETBWuDTx2acKc5W3IR3rOG2SXhwv9htuvOU7OofszD/FiOfcn/tRkmOcRxK82 + GRqKfWohIzl8yN0ngtnEbFPCJTVM4jrQxsPCOpygXn2e5Byqttll56ID7hyO5HB903yQIihhNdIJ + B2Ex5KOSHHZo7ek3Qlb0HQ6bwh0g2vCY7d/6B02PXZ6ojXDriBscHVM8hoGDNE8aMV/4Eu8OSzH4 + 7YdYXGCtGH6uBnzVt4OVeX08abNAPbvqmTi7pveb2Z8AYxHe8OL8MUKx/14xHDoYmLvvorgP34ii + N82fxDidHvznz8nF2Jts+xK9dlhstxW6taf8p49ydhMECX2fxcQ2nIXx1H5Os99fKczLGTN5sgAH + 9F3xwtX3ZLdDUSgHJK3vHu4ji7X8tHRKoPrnQKeX1rXTa3FIIREyGwvqZoypItgn+GwLm23HQxk3 + i9NdgcdDkMgm6sNwqHf4DqGnI/zjp7zaZXcol/hNdu75xcdJEmwI+MPE6maCsOeKc4f5feI0XoZm + 5awjAZaahJmDyBZJv3qIP3eF7Q5iGXa4XmvAFqQhXtVt2qXBuaEeXPf68798Pr5qBc39kuwnWvs/ + vaiql5PLDoc7Qd3PHyyTU/3jE3ySVtvohzdUsGsvFpdfS/rDn8V0KlHvHtwdRJF1J7vnNJrj/DyI + Q+XFtHh9Nqc7lhM0+4dkt3+l/uSn2aRqZE2ootwcNM+fDPXHBzBKTH8o3kz4vR863K6lv9y43gFm + /MYQXs4xe8mNpPgYJ8zayfdwyHrnz3yKWfN8aeIfL4OV/UZEzy/fdhCCV4G8cXgzywjOiKPIkX/8 + luhda+U//Yp8uaA/P4D32+5N10my3+Kf/uW1cLdg5rtMB10y+aVbCyA7x4a4fpvnY8pLDHSUPlQs + 64CLxf5ir3/+hZ4Yi3bEuRlBpFGVKltLQ1JHX9I6lcsHM+/iDQ3Pzi9h/3Zatis14s/zlhJmvMLy + Wnj9/L0JqP49EBI9ZXN09UGAcz9Rtqu31GShZpewCY09wZvIQOOijgalXJwfs/5AqPLwCyuK3uzI + cZ4X8kceV9C1l4DpdfHJu6E6vf6sf90+Dkia8Rny7yZhe4i7fI7/HbnLzYHoU7f2qVW51vrbZCey + 80onHr44jODUZB/ia1+bL1db1/ijj6/xSjR/fr4CoaUxi3ynnC32nwDh+AXErpQASfXt2MBxI1bE + K7ZL3uqviwODZMrEU24VGp5H2UKK6ZTEYf7U/ul33/2RU8VUdc4122uQWCcDM4111LZ1qSqwNE4V + s+zVp53x5gDa8dYQRz0kbXMOVgl4r8OWHE+54k/33LugYz4JzFNfW8S1Uaaw4PGJ8uzl5GMemQYQ + fzj+8D+s6TmvfvNb2m6uHLEY71J4PEAim6u18fswVmx4BsCYVvWrdkwOePrxIWbM88SRsYWDrGyQ + SXgX15wtb1GhznyBvmiO0XTaqaKSd8KTaNvNhOqnJL/gN/+wi6yLJz9tBvDNAFF6uvRo0B0ZYJ2h + I9OVaIt4StwJ5tkelujg+RRx5w6yEza4WYo3cyyWlQjBOeuJLgw4LNtPooDoaRozFX4Ipx9ezfMI + 4n6+t1a8fW8V1A+yx+InauPx+/FLSO/VltjPPQmnrRodAH2Ri4e53oeBpg7qr1hgm+37Nw9ce8Cq + amJWOtlo+rwa4ccH8CQ1tj+IbxOrf/9OBfznP/766//8ThiU1SP9zAcD+nTs//lfRwX+eX/c/ymK + 0j+Z9OckAu3ur/Tvf/37EMLfdVuVdf9/+6pIv93f//oL/pw2+Luv+vvnv13+x/ys//zH/wMAAP// + AwBhiEyh4SAAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f6e3f481c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:47:59 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '15' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - bfe6c40887a35d01d4e5d4124addf131 + status: + code: 200 + message: OK +- request: + body: '{"input": "A grocery list containing pancake mix.", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '115' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SWS8+yzpbF5+dTvHmndiKgUpv/jIuoXKzioog9AkUU5E4VUOfLd57nJN3pSQ12 + 7WSnKvu31vr3v/78+dukRfYY//7z5+/3M4x//+un9kzG5O8/f/77X3/+/Pnz79/z/3VmVZo9n586 + /23/vfzUz2z++88f4X8r/9f0z5+/eM1fWDi1OB0eTzfbne93iwrjPki5SYUcNnJwxnOrEWdx9VeA + NqNoM+18lQqeSZkAXkJGtue26fRNnruwoYeaWPVTKrhhNBXwmY505y7gzI9w/iDlrGe02UVqwTu5 + kuXf+e1qLztNsW0zpEbqzFTv/nGWcdM2gCoHE+s+julsbnobjrrCKaq6GS1jHWCo7w3Ga6mSisWb + ykZu1E5ghiqUzvA8ywKQteWRQ3YX++H4vuownD0Hb6Xw6Cz3zbVB4WaYWWA0QUir8b4F/Dxg3Ms4 + RfMh1vdy9RQTuhXxYozvh9nA1VTuhKQI8X6zFhYorqcv0bWOGlOk1RkUT12ikja8woG3ToTS8pMx + xz1+0dQGugya8JGwtDWWYnnNV0BH5/gmdiLW/eQnkwqP1WvGdX9zjeHxOHSwOPsdUf2oKeZm2zyA + H2LOHGe9cXjvLqqyDvyB2N4+L7qFHDN40/BCiBrKiNF2sUFRhR2WrwMKp6J+uCgnxUJlb5/3S5G3 + LgiP98DOSmEWwpPeKZjzCbNLXLwR9fKnC48bbdnBFEbE3G7KlLTMM2alvd/T9bergPDsi5Fr4H4Z + m1iHoTk65Oi3W4Mu3jmAV7nyqMgsbrSvaW6AHXDG7LNWG+zquQsw/VSTw2aNjGW4khM4C48wysuX + M9iTdYEjcWLmYrfqua9HntxwYU233sYMxde0ayDS8glvDeCcNV68wFhnQHTy+aLp4Yoqsj2SYPFS + 1c5SvPoY5UbdkfNjiZ0lcgwZ1tlZYMcu2BjDgMsTWLuHT8Exr5zu+i6Ax+o541kENZzQ2gTg4lLS + pVi/jAmPTQzyh1V4OU4q56VWZrC5PtcED2ziw+8+TGZFCPGxayz8nXwQ2yUt0XrDLiZEpQ8op9Em + +9N3Y7D9kwUyn1c20ThdoTnlSQmnsX/iOUytkEeBmqAEn47MwabtzA8hjqGPVIu9xHYyBpbcdGTH + 1ZcYaVqnzKnXOsBdCskxK610ypGeADkiTBevMPiEnzFAqFKXCki8p1NYfeT1I11yduwiHHLrqa0U + eN49YvVf0xC0I+9QWKRPPM9T0s+yIGLI9OTCzk+WFTwQ9BjOd2fAh+YchVP9nQ+QP3BA1FF/O1z/ + OBK6gZsQMshlv3zlegvZ4eEw8/ae+fBcvU+QfY9fYgzKlc+r8vRAbSKWTG1WLZ94a0RA9hefXHKf + 9QO3PgHypO2ZPLY3wWDOzg3A0jEhRhxTY46l3QUuhXdiMbrs0Sz0vQdjeDfxDvSsn1jyUlGOjhax + tD0OOZWtEiLhlTHcjVfnI57LC3xXUGCxOew4W/VvD27CxSJn8fbiUxTAgDbHvc70jVqktOu2KxT3 + F4rD08dHG3OUKEKfi8BeF98sml1hdNAWeKIbb5gLljq6rMhk2eD23kZO71jhAr7PzuQknIWQN1RQ + Qa+ZRtzVnRSzLCIVAnduGVHDhC8hNQZ5DFOTrjw9Kei4eTfKsL00zBjlR7qU2skGSfqe8KdxTGdR + V8RGXtVMuNdD0+C/vFDdB3YsvkeHE6mPwAnlF8Fdq3Du2n6lXAKO6SbLA2Nxg2oA7PUuOVxGoxjW + ykeC6CrsqWDXS7EMIlVhHYQD09/q01guTPug7KFITBMhT2mxdjO01x3CDkHtFXSQCgGpgXujUyml + 6Zz6ylaut35D7Fu3Lqbp6T3Qy+uAzm7sGROXvRJlb4PSx+pZIfr7vucLn6hMwEdcSS4q+B98pDB8 + mTOceL6HYHtT8U6IG2dZX8OT0iabkrn2iaXzmD8pehRb8sNvjug+UxfIH27A9PTS8U7ZxQviu2rF + zDwejEWxGg92D8kixtVX0mFUvQsS8o1GiFAio++fVgbrz1KxUz6+i/aLtORXP4nVFm0x15G5gvn1 + /jAjjrHDfD0KgA1KhUV6EsNpgl2OKr8XmUrcVTgKro6V/twozF3dWcHf5RDsfvyLeMKE0bQLFx3y + FESivfxvPy6vKYaBjWtyPhyfKSeHRYBXXJyxdKQy4sHel1GbtSvcz0Xd8w05ZDD3qy9xKmoZC742 + J3jOu4S515VTcCyOHxSc1gQzsfWM6YwEDF2SLcx1sR5KxxY1MpvzmGnfldhPzHVcqKf7jfnLHIf8 + BtEH/O4Qk1OaK5xOpofhGGYj22+lW8perfqzP9KeEe0SF503lR2sE0fBFTiaM9mke8jvo8cI6QS/ + YM7pCr/8Ubn8zs7yEIQB2KxlxHxfl2LOGBeQGgWYnQ7rMV1gGwDyqnuIFVZH4TS+djFsr+aZYU+X + izn9mBHcig0h9nk1FlOTR3T3qwdqs7L49JG+Apglc4h6+L7TZRW+cpjK14H88set8/YCr3LgtCix + nc5UFTrlLTU5nhN36ukuTSSoBTIT0+Gl07tJq8JQbyhx6QuMsTOepbzoikMsH53Cof7u9rK7qix2 + EJVXMWhtHIHsrJ7MFnM9/eUJjmm0orsyE/qhuhQS7LytRuG2jft59A4equ68wKhb8pS2935AjtzX + 9P5iDZrEkk7o8y1uxOzNFC2T6bnKEzPM9k97xSlsE0BeN9TYZfmdz5Zou9AI+weezT43lmR3D6DY + 9z2zNqkWcmyKOrLeUUFs6a0a88uPq11x2Z3Y4TBf0uVc8BW00Tz++PnaoIdGkRAN9RBLorozvkLf + B6jdfPaEBKRFTeRLW2gDJuF7lXvG1PrnA1pTStlR9jQ+B8O7/E++1B7YTedm03Xwk9+o554hnPJ+ + OymzcVOIZva5M2pxHaMf/8HwFY58YghRKN2kxitUEoNTKwx+8yaxAqgMqq6ONoom+c20xJ2KZomR + DN7n9mBqZgrOf3iST7bB9h/nUYzJHAEcyj0wlzdNOCD8alAN1xdRZUkrBHvSLgrZR/5//IZPV2zD + PLg6RamiobL1zQMI3rek1TO+oSF3/C1qKUrJKeu/fP6cZwHEOMqJO1cuH4pN0cE9ahpyrPCL87fp + YHhKLqXyt6KcS7T+QJVoKjs9u5MhRMt1gvm2pZj2NEA/+gNwfMUinpPTPZykWzyBuD42dBvsVCRu + O9WWg7NxoMLl1fWN1zqCPA3XG9P2nZ4K535YQLnaZ8rLQOsFUB0BrhbntN6RvbOxlEaCn/+ju7ZW + uUgDbascBrcj9l2wEGdJ80HhPq8ItqMm7dM0iGDu4Ut0o1lS7tr36pcPzM/1gUs/eQm6KEZsX8e5 + MZayUcE1i0q8zjTKl0nQtxBu6Ey7x6ZI2WGabMCbfsaLFSM0kukUoeo6DrTQRA3xg+cHaJ0R4SfP + nvko7/EWSUai4N3avKFZNvcURG7lRFMrxxh7wdmiQBXfxKhcXCxnwYjhhy9ycGS14CYJM3hLqcEw + FY1ewqZH4XTotky/R1WxrL9dCW9qbNhRdrtiaqfKRm3ER2bUvtFPkT4GyKNvja5/9GRu6hBDU/d3 + fGsuC1oCuOVoXegG0z9awn/yX4wyZTizq02ZMRw/iYQm4X8AAAD//0yaSQ+yTLbH9/0pOu/WvBER + qEPvmEWQKgXH5OZGFJVJZKgqIOnv3oGnc3O3LjCp1PkPv1OgsR28jKwPAy0FoR23zDwez4jF92MK + g0KCKS/W5lAoTIIiHRaUemc3Hk+6BBLxlzYV04/lr0y0VWY9pOiyGqPpvPbqvn565MQCL67ZaFtQ + pvcdpfYhikclaM6oFcKeyoYuoM70D3d1eN0DFtieOHLgiouEwjuRzZeoTUMcRZQr64lJ8BZJNJwV + uMP1sl/TpVh3qE8TPQS3+DA8pLqCWi8BC97Hs46F0ekQP9TbCpRhaRJNpJE5XNoql6MmosQ8h7E/ + vq7y5H9sicXubDQ97rCCErk6M+sdXGNaoo4CoiHgX/mQxmEpwA4VZXHF6sZFJs3YIMLhADXZTn21 + e+QaQB2Wnz/f59U7ofBjrsS0JDAaUZJFB50DeiJ67eT++8ZAhKB7acQqL2nMy9OnVj3LFJh3bJ5N + rxRZrk7zjaVXtYuGpWVLkFm/hiK4lj5fBsMRzEQ1md+/eNx9V0xDsubXxGi8jZm/fisPPuZOYkbw + GE1+8N4lnINEYti/lGaTruQ3GmSVk22kZmN7OfIzkB1O6ZBc8mhwJPKY9RRLVcyi5mAkIRIK98SS + pkZZf9xQD5h8/ZGpP5u8tB5XpdIqgUJsvv97ntnBooT8xghVF+stgfwQthTKlZ0J+s1VYP7eVri6 + Pts+twtps4k2xMxxHY3Vq76CrTpnLGD2MevDUIUQLYUXeabC2FDvHCToGm8OU996R8NeEzww1bWC + 7/nPjccr/tXQv/iSef01QoN0u2DQ7kebPQphgwSUfC1onsqdOfvi5I9x3SzA3io+XrlC6g9j/wE4 + 0VKngjw+x3aTXWvU8NWWebpfjxwlzEFMDUwqSpsfmvpHgiDwR7x8quvslzAkoCmPUzmhvi8Oi/UC + th/boaWyLaLmuFyFcMmdFsPWr0b+QN9WsYwtIebpJDR1RlUDzNfujQf8cf11WqQWGPFhQfx1kfk/ + OfsuoNWdkkqWlWbMCi4C6uLojJfWZTC5t7wvUB9978R6B1LEb5p1RG9zvaHDsllnnTs6Jbp5TwPD + 5Bf0mCiO8n0mFRW7sIk4ix8Cco2vTizuZz5fWRsFLoHj0GHuy+ZISqTxVc/8WP0gLp7vAFL3uOK9 + /lj5I0qkEsYi21BBXZpZFw+PAVycbXFfO5bJO64Jiiro1pyf0Xy/VaXsn8xQuyhqy2z1QIOx9DEX + OB77/Ja3oGyUEkvXTzxWmz5/oInvMDs986gTkNKCnh9uxDKVNBsXzSeEZnv5kaD7Df5wedxcMF6n + FdNa3Yxo66AjmvSfCtzPTJbziwebC9eJNWw3UfO6yneU9NzGKxbU8bh+Ry0Uy53GXs7pHI/FeC3R + NI/MX5y9iE16BY2dEbJJKy3j74YPqBrFJR1h/YuoJC8ctNrvhikvNw2Hw8ECrbcx82J6Rn34uLtI + SbuSCqfHwRwGsnkglJ4FWri8RnNeBGUjlcRc9GLcPrFUo31Zc8zDiPhcd+UHcjEvif/Olz4dGD0D + TRYxI3clMduWBljh28phYbZ8+aONn7Xi+1k0+6U/7DXw0JQvSDrxre5PPiwTk1zjfGVS51pegTrf + PRbfL7cZ1VuCkb9gCUVF58djIoUJiItWZL5Q6n6139b8jz5zgVPEu2WYqGe7/NKxUyCe7zsoPjwJ + Pnpbs18FroEW7KgSc7EKMk7Wr3o+D6LlYhyNp4ORgz8a4zzPY7+WogVM80icU137HaYWRU/TyIjD + 9qxpQusmgfDIWqI1WhFz5pEcfcT6TfCvvUR0491LKBSpJeZouk0fG20I/sMIiG4WgdkevKoE571P + mb+8uOY4bLirRqwwiLPSbuaY84sLLVMfNFR/D5/xk+PCaJS3P7xGhPXJg9BCV7ILiGaO/net/eFl + IVf2zVjXrwe6OqPKdON9NfnKDlr0yulIjEUtj3P/BqPVTmxXropsWJ5iF4Rckoglj+pIHwJQyB79 + bT6fmH8L2YG0NA6UyysTrZVd8Ybs5BWT/kf+mB+QMuc/YuAnRz1ZHhZKv7kJtKitZD5/DZjs79jc + 5+nUX5R5vpxzs0H95PfSgFFEVy1245ZDn6rph6p/+lE9hpoEe7M1iHNpi4ZNPAhYuyyZr520sZKF + vYLcX1EyTX+szJ9THVLl99U94k397HvZlQZCdA+4v9hLNMhNukf3/hgR/eo8EVvENxF8seBs5nUs + jLI3SJ/3nh2mvjGy+zuFVHHcOe+isXq/sboe3BfbbryPyVTPykEX3iLb3XTbbMVvhWGazymv0WzS + HwUsuaZE2wWPeHiK/AiWp7/J7r7cxrO+K8lVXlIqFYE/3L54p0z85L9+ZQUvAeXokDDjkH+avkDb + Kywy/4pVj/homFoT+AqyiLHWzLi7rlCKOJe2FIav10h1dnUhvCVbtiHfiauZPwdl2lfAQupDNs5+ + vb59RGbe77+sjU6nCuwqKyif+/0DuhSuF/OOV0vTaTjs4xAmnky8p/Qx6Vf9HeGkyymxlSWJeuMn + VKgJbm8si/esaUWxFyB4koxCX1vmmucXruxDe/mHv/X4sUzQZmPWxPhoqjnaC+wqt57Zc5+JR999 + LlDXvEcqf5/njO+l0wOG4QjEJL80Gr6JuwfzvD5N+SwYxZmP7GmmMx8RuRm58MWgnY2eWKDQZuZJ + YAdtQf7wjc/TfKCCMode79klphH1W8QqxOgxP5Uj8yUngfLwW1GYeE/f5EoItHF1dpy+N8hNvUdC + tWBUPWmROYiJnKOJf7OJN5rjISyo8tpXQNxI3MRz/gb+rtu5z0e9IeMQGpu3zK6thdnjoBMBnlXH + bFn3/aZ3lDN8A+LTPnpp2apbilxxcgfoKn+YMQtzPsBnOO2YsWwus/47aJoPorV6FvdNIVnK1tgR + cjsgN+4O/k5BbLU54fVGLdDUjwEew+dH7jox/GFYqnzu3+SWJ0I2fvHTgw1GCMN3aE1e7cleaeyh + Ja5ta9Hafexc2FzSnG0cqHw+9UeVaIZKzF25NUVpu+HoGi6zeX9j8mcXKYBRVxFy8AQklt1NAZFc + bCxw3zTFnxc6avelN0KmvFF5zH+jqDlQumSyk60+TzOBZls4LCiQFfduVKSgCagi9jlvoj98e7pf + E584Nj3h7hEZl1dOB/9+ibrjeT2A6y12TK8dy++3p5+LgmeQMXI8FFnvmmcLtj8s4O95sGJeD58B + Wim38VI/StN+RDLATJYmXjq3rhmiIBfRNL8YxbLXUH0f7oGMxKXjOUTm1B8c+J7KC9FqwGZvbJ8D + vFrxg5NIfzR8L0chYob3JaYxuNGgbt+hemH9hS7ca242c5+c+DnutTQa+0/zCv/wSsEt1v7gnYMH + WjSRw/ytirKujjpDLkxpQ+5ttEBTv8AwenRDLEVADb1v3xzNeeR0+uZoyDmv1LN98ZhuFp2fiysw + IF8/LWZ8jWs2tOfdAi1QmmGmUNsXrGN+Bl9cB1i0+bnpTz9PmPMJXklqNI6P5jPIWogvbPN8HaPB + E9sj4iAcyHORm/GInsOgWnJFya5Lkrid8oy6870P8dVT27Tl6VfD5LfY+uCzv3Kq2xum/EYmXtv0 + 8/2d9ILtaDbGuRnRFCI0VGziLSYv7RDP/JR4q3caD88isyBfky9NhcUXjX3xzEE4xguaZNChn+HF + JeJtLtBa34xZRw+WBbx6q3jyQ/RnH6QH6Z4R96VlonfxQ7jJJ5nsrto3Gi67SWnj83m6r6G5Xuw0 + DJat/pivYIR65ZgcUc42Eq3rJkMzf0ETX2Rz3urcDBYw67tnuIeI+ZdvCc+VeiAWtbnZj79vDfY7 + XpMde8vjaCedpUz7D6aZCc/Y6liJsK3UC9nF5jvrnKtnwS9pFnQZI4SqOW88o1Aj+0ZtELeO+RES + J/EZziAYh/3BzxFBm9tEDSIkeuvaA++xTRmWfnnExbK+z/5PAki/6Fdd9RK+cHnh4XU1/D5sfzlc + moVK9GT/HfncDxfaY0OeI8vH3tdWnqLb15SZXCMR3/9Mcd6XEaNw/WaVdqECY3e74lVjx2Mn3BMN + 7WmUkw0uFw2zX6kEU57Hw+7VNu3KtluUfc4+leTzOysI185g9mig/HB2s2GR0QX08bOh6/ahx333 + eknI6jMNy+v4E7cTDwCdtw/ygLiJB7zSd+i73R7ZrJfNTjEcyMctJ8FbcbIxOasDSrzUIPoz0qNB + 17UaTf2RKrrvjZ1qNAM8L84dT36BfsyQwtkPKTeeIeL+vgqRQn+UbavSNOd9rvwNAp9cutsG8U0a + Cuq0b6Njjuu4D6HXwGgGiRjB24t+Uu26YOvDkyqa1/lD4S2vf/hh7n2HZs7ncA7aE9s//I1fF7Ej + AlmnD7ymdzsb0VMZoI+ENbOXZtlM+i+hLqtTsp39+QMuhiUFn+1IkMelllAHLnwfTvvqUyNagXyE + +KjnU57++b2w8zCoJzegvVUbEQ+als98mGiNfMz+9EP5SOM/fjbIj2sNe5MazMPLJu6FOBYn46QU + T/sitmbFWf1rfhXw73/885//M78wKKtnUkwPA7qk7/7+v6cCf9+f978FQfybiX9eItD2/k7++td/ + HyH89Wuq8tf9b1flybf961//hD+vDf7qqu5e/L+f/zH917//8R8AAAD//wMArJLFo+EgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f6f5ff11c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:00 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '407' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - b76e7dfb5eca1312635b74b2dac6c4f7 + status: + code: 200 + message: OK +- request: + body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following + text, covering the topics present in the text and nothing more. If the text + does not contain information, describe the type of text.\n\nText: \"\"\"What + is your favorite color?\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": + 500}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '320' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SPwUoDMRRF935FuBs3GcmoHWt2FaEKom5cqEhJM2/a2ExeTDKlMvTfpSJ1e+7h + wB3hWmjYPvrqaj7vXt/SU5y4F6/8bLh5uL87b8rs+fv2ERK8/CRboFFoVxaW++ipOA6QsIlMoRa6 + bqaXdV03UyXRc0v+T69as3XBukqpi4O/ZmcpQ7+PvzM0xEx8DZQPQWHyxoWV6DiJzD1xoNMsOrPl + 5AoJy57TGSRcaGkHrSQ8r2LiZYYOg/cSnQsurxeJTOYAjVw4Yv8hMWSzIugRMXEfy6LwhkKGntQS + /4+O+FqicDH+CBq135/8AAAA//8DACFzu+01AQAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f72ea321c83-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:01 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - text-davinci-003 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '756' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249500' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 120ms + x-request-id: + - a2687565593a43a7132c994730618f24 + status: + code: 200 + message: OK +- request: + body: '{"input": ["What is your favorite color?"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '107' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SWS7OyPBaF5/0rTr1TukpFIZtvhlwUAQkXReyRCCIgIpeEhP7zXZ6vqrt6ksHO + HuSy1rP2v//x8/OnTav8Pv756+fPqxzGP//81rLbePvz18+//vHz8/Pz79/1/zrzJs2zrHwXv+2/ + m+U7y9mfv36W/638r+mvnz+WWYRYD5nqEEyuLpCEr+jeyQxnvZIOJ/BOXKVeejVS9qr5BIdyeaEW + yI+e6e3SBzk0XU8OHibiVtc2wEqXUtU5HPR1loGFLoeceywq1ymJF9hG6sm2sSWG754PnX2DkJU1 + xa49VuPoPw3QpWimW6IY1TQtLxpM2cXAhtbuEb9iu4SPtb1Te9SW6WjWegiLD12QmoVdOvJsJugq + 759061KYx0VmtZAcDhesuusHai3PDIFaj5u3qfJLTzanSkXRcu0RJnZFxeqcTHDYR+C5KKzne7jS + SqWfmicR96+3wzwDapRjocPacO4d9hJ8AwVvscbmMo8ibo5iAxLzLnhL2RV97pKRgywceo89lXXE + tZQDkCGRsWXcb/3Eg8eAkoNz8cRd8pyZvRBdQHmZUne1mHsGRd6haH8k1Ol3XvVx7+JGKhbXg8c6 + XU9FaLctDMRVPZlgqZqNpBCUI5bPXne4SmhaPVMNWQO/EyQfy2pef9ITSNp2TZQrFpzJu8syonUl + e6P5TmZezxcD9EHXqbt5dFErRZYKRx471BDdvur1hdOg2R5yIm5Nv29HNA3waW8udgsmORNs7gLk + VzDx41K/It6R+aYYJ9Ej72NtI/aq5UkOj0+CTYXVPREEMYQ7u8d4Xy26isPKA/hMy7cnpQDVZLYb + H8VMTah5OdOUBZnhweLSykSul3t95b7RBrqeiGSTZHjmTPloQG31hp031/p1K0ECybXcU/N6j3W+ + K5iPouyt4z0ZScXF60lDXfxkWG2Frb6813cLatZ6X32dIqrZVgfOUw+wezzMiCmqqiorO0+wyS9D + P+kyqWEfnzlV42qrj60fcfBXCfWWQ/Jx+KsJOFSXV451hvJ+PudQyA5Se3z6uEI0CcftCQK1vlFj + zYuZzmcgYN+dBnuFukVinNQFyFXnkvnd2JUo9DVAPmxt6hRmg2YOlxNUdkwoVqdz//tfm/c61zy+ + UHydN5Z+R52RD9gc/J3DcNO40PGdSw+L19oZcLLdQHIt9p60Yqeen9qwXKiJ8KAWS5robz8PBxVh + YzNo0XprvVp40PMS65HwSmd/45boI2cBPqzYsuLl4WpDI2XcA1wJ0ZDtjiKIGdOo0fGo4owPGvjX + E8ZqaAcOT8ZkCXNkSfRIsqRq0tfCAvFx0rBvxV41pfgt/s2fY6IlM7seqxLel32Id2/r3L8/T3n3 + +94482TbYUnSlmDpixB7UZSkUxD5G2UqC5sUXrbSx6A9uPCA3YOaJX3/rSdknWKNrHeVNvNoV2yU + l7dRqK4ZMSKTTW5y5V5nIh6vn5nNi/EEI5CzB0Ljz8tlKA8wXxYeVXNG0tHLAxm+/sNbe2+gSeNh + +MsfT87fp2hqGOzgbn0c+n3PlJXkziF4ZtgTANcRyQ6OiBi4B8LWDptpPTw5lB9F8OR5ReZRb5ch + tN0V6FFmbK7dBXfRstUqisdhm461k91hpwo6UT6wT8WHS21UvpwPPiTnYaZ6eAdAEwQ41UBDbHU4 + ETjzUqfGsol/z2eg3cJ8U+vcrRy23KoJ3DYvkXp+oSC+5lIMK9lWsMp5VU0k6xIU7TEhExsX1Wx/ + 4g0ElYap9lotIza01Q0GsUupiq4FGhtEE9izzZHufeNZzQ9vZyHLjt/YKrsynWQythAdBMETAzl1 + uIRlVeYFNbB3GayUBe3Bgy9/ieg11OndS9sgNXzZXvV81PpUxFsLikagdO9eXj1DiR1DqCPDk57T + I53GMkrQoRQvFOduFrXXDbJQXLotVnU9c4jQ1wJc1Smk96qe+3n1qDXoC8yokVyieWjb0IDhuPIp + bnmh08k9JuCdJhVbGqkQ2/I8hOaYhuQzdyMaksu2QHtxKPE3L6vJYVcZUTrW9FBoLWJD29/g8aI2 + tbafxzw7tJP/5q9j6oeKkpVPgIb5isje4Dijs9NCxbJPb2pftwuHjWudKE8VbAIj26V8YWoniKS+ + wnadrh16ql4F9H2aYl0u05lk98xCN+w3OCg/Tso/RbpDt+A8YPvL09mSXBk9zelBPWb56ZiRfQ7j + pfI90Qkrh1qLZAPiSj9i9esnthKdGKVm/MTHKxb0oT1bE/StvaO7886c+c2+lkjPeYR36dGNlgER + CjmaNIm6abxLudAPApwukY61tCgirgo8BDWblthMsD8PH1ufIAsvDt5u2Dua76DdIV5GI3UPqzcq + Y993UfKE8ve+OkMG02C8n1/UdbSjs05vvojkWHpi9/LpUoJPSIbEuGh4u0wuETdfZQjXyt1j3/jw + nlqPd42+eYItG5hOg10tw/NU4y9fOmfeWmMrp+iW4uOk4HSazMJQyG0tU2tllinfFr0AQgYy9Tgx + qzljxxxQFDNsjX2XjtJ7E6Mv/wjsLGdem3LYyLRDmIyjP6dT8QlzWNXKBh8Wxgt9/XeD84sl1Lm+ + JmdmC0uDrx8ovjiriB8Dv4EpKSgRyUGpSF2YXMYaehGRndto3FwTFeogyLF2v22RqFmfFmJbyPAR + LvtotERPBq2SDSJrbDuz7qbvUOZRE6vr6DTzeLG3YGfyxPtk2HP6dYVjhO/yguq3xRhNY/cm8G7b + EMdx5Dhf/fvrEuc5gVgR0xn7noyuouhie3Mfoll/NT7Kk9QkbMP26TQb4U0h5eRTHBgE9SY91+jV + HCyK96A6Iz0ZCTTO6Uj3yydLJ/lZnJTLRBRsZRfmTEE6enAju5iUOqcOE9ntpHz5+cufdCw66Q6+ + SWx8pJ0y961q5fDNRyIeogyxJClKEK72Cx+tWe/ZWmo6IMjrvOHrJ3YPP0tUEt/DuoB6NAltI8Bk + bDpCj5cQEVebfBicySEL5W1XU9wullL/5Axvb9UjmqTmGiPtaS+9ZWqTdG4CgSNVWp2wmR24Tk16 + boB2EiZKcFNnXn7eHPJ8uuGdVJ0r1u+kCalC/8GHj9hH80nRRGjGSaP30QyjKYU4h2MST9QSJGOe + 9OMCEGn0F5nXcjXzqtc4QnjoqWaaRT/bR8lHx2XqY5veBcTeZ4NDHUQ5kfd95XzzxZc+J74ngmP2 + zgeia4yWjqCTqZcAcaFKOvTSaUS311h2KIAEKDKtD3U+xTVl6yaL4eFrqsftea0zqs47UOzOx9tr + fHM4+8Lqeb3V2HDwS5+yrrBhle8ybOApjpiXX2X0MJZn8j6syTw1ecfh8HADGkTlOprjHXeVZr9V + sBlbnT5Zz7wBTX+eqLYEKxof2izCV09YEyYbrc4e8371iw0TZjRvtImABMmWpk6lOrOqBifFgF2C + D8bpUrFkubMh7bc93ZFDVs3L7qkpelR/SP15eWnnwuAi7gUeNnZnHXEr0H3AfGdSTTwc++W2kgC2 + gfmgAamX1RQQsYDn1FG638jPtNOVoUHfeYD+zncMD9wF5/ZB2Dn1ZJ5NjQhgpGNLLWmh98v2rHJ0 + mQbFW8lGW03WM26gCFjnBYIrobk4hRZs2f0/AAAA//9MmkkPuky2xvf9KTrv1rwRUahD75BJBqlC + UdTk5kYQlUmZqoBK+rt38N+5uUtxARRneJ7fOYRKs54b99vDUUH9yWMx71s+uEYeQJJ9K3YwqcC5 + XfIKka/RzPpr9Kbo2r1Qf+wQ+fm7QUwyDX56aXU5k3AyN6iAx8V7EUd2i7Zfid4JFmrn/XmfofWZ + JYcI58zmFqCyuesGbEwrI7uvf9V/5wvfFz9SbgbvfPzWkgGXp7AjBwvdvTb+pC40CkfMG+Qx5g8j + EsD4piHBbOu040OIUzTHO9lCmof0d/4oPI3MbCOjncjXxBAe4xvxnziPm6HwOtA1vWb4aHF9yE8o + kRbV7cwe9xWPaWsHA1pU8Zlu7nqpT8i6qiAfd3s6eI7j9Sc1kKE5sATz+9KPeYnDBIG+jcj2KQbt + 5Be1jK7vRUanub4Mh7jEoFurBc385RvVzvotK0y0ZOJofsDHzxalgG6dxbQGFyGzS1TAaLmE5n5K + +fBRTwmU9vvLvPPmpA/u4oKhLkxgul30OVv2HsCvnhjCsoqnRR40QBqPEcvpet63ljQBQZSx7Wh4 + cbvneI/4tpTI9uqc0BA+bIyCbSzTpZ4P+nQYIUP5cK9nvbHknQlOBZuJanS9rbd5fXFVDKRxGNFG + sg+5lRgBekifMzO3ld4yJW0b5IdZjIdr8+GTaLkd6Nn9RoWbUuuDjc0AJPu2x3WEK28s0mpA/cFB + xNKOK86HvX+HnpcDlryX5q12vVwgL114xDjrH949qZ6ic/PpMZczxDssBnvkeSeLBHz5RdNb3kxA + vZdJPC9/eWOLoINfPATbs9VOv+/76xdp/hnbsbl7luyJOCJu4jucX765ABe0+dDOyMS2K8TSQptH + Bsyyn3b+q09ybesJ8aJD4fHC3iVwMZoHzs9d4g09cQ1QpfWJ6LgVdGZq1QLeQbikbKvIiL1JbSPV + jO7M7ek37o52uAFg5oqpn6uXd7W+nhB9+wHbTfemHcH3IzT3XzLXm3a47+IXunyDjOwG4Rz3UZMK + KEdFSEXGJsQRPTSK5sg10S/HMaYPbS2CvYYdw0/rFfaH4ZzBOjlcqNjFH69f4FekNBulosN8/9Vj + VwiQhsVAyOQf22HrnhpY1v2Sma7/QmP6dl2gahQz/JVzrw+v8f7He+hwUjy0/umZd/yo6b4fq5hR + ZlAFvco3wftWbXkUrl+/+KQX4qreoD1tkPf2IabL0iw8OjC7Q3Grt/gh5kVebblyBPEzPfAmiupf + /44QqhYivfr6hfMLfwlwkpFNzFV7bek1ISLy7i36nb83ZrGeAG7bOzG9e6VPa2R+0ccRMvac+/Nw + 2vQiqreuRsUSDTFbQ9EgptcmLrG20Of3w9Deooht97ht2UbbUCRmC5tYd3Wnfzv1PUD4tHU2+zne + y4PRoPblj7SaeRD/6cMb3m7Jfnc+6HwbLwBZ5nBl/mo95LUZSAtA7iaiMpGCmDf4NcHukD/oAogR + C3O9VWY9jKe5P4+dZg9olRoPor+fhTcc3xKGdnUXsVLDJx5M4wxQdb7GTp/0k7/tTClggao7XTyt + V8zXUHzRnH9kr27LkNd0fQVabUtSrpU3536lbqBeHioSzvogezieAD8eYoWvIB6cTCrASvFEnJCy + kKJbHcEgxQVzjm9XH0gb7v/EhzM9vu00fT4a8DTK6dukJzRmu8mFUI1OmG+EMh7m/JJnfUD06UTz + P+dzfi11Otlqko8BOmaQnusV297zZTxCeDvB4v1RqTEem5B1C5mi7rSv8AbXvd4cN/br59+Jy1cY + jdlpmaBbjneMfJ40H3714zNaPXHsftcOc75BNGpXYhYi1YeZ78jRbfDZbrnd8RVU2Vfxo3HAA2nu + YW9NbQEa7hZUjm4fb4qPvSgfzdQgJtll+lingiX3l3dA0pJew4E3igrnsAvZaRtnbV/thxTM8val + kv/58k6b7kdJF9WUqE13yYft2gvQxUkmoh88lw+WWwNEwqEn5H5R9XFdnSNwbAEYOV3viB+sTpYs + OTyynSJk7fDjlzPPm/1Wqo+rhGrom0VHujkZS94Ht5eM2qq0ML+075hpjwMAKc93gme+wH9+UMVL + g+je5hbzjzGmkJ8ih4rZxwj5a2uLcMGH3dxv9XiKggCDoz0+hOzg5U27s3BEgewbbL+jb32ifKTQ + HPqEbe03a8dMeA2oMFT6yxfEZ/6GUs8+s1M+ti3fNUUF/mIr4+G7eOtUX12PcMP6lrmHp8m51IkN + WifhhWGOXDTx+7uDPW4Ggr+y7q1DmmUgomtGEvGqt/SGJPcPLxBmvjSCb54QNzcOOyRZgbp0fxDB + l/xyzgczFp39/fjjF1Toro43ShGLYJRrB69VxW+nNigt9F5rBl61UZFPH/2eQhpWA3Mb5LfjMb/u + 4egeb7OfdMORmoWhRJZtk6fpmPl3SacFqJfbkx6to4mk3/+OmCZk961s709+JP7jxXTXzfgEX6eR + h4UvMYcOXT61QW+A1FcHpjey2A6k3GF4hLKHl3N81+99a4OJvQdWOp3qf/jjcy8tiXlLRL1+siZB + P96MjoXtDavdqpOna1AzV4n8XFhhh6IfP9qRxSoetZ3WoPE2nJg9eG99CL31Hn1i6UPFZnVoe1mP + NDTXe2aVKAj5mixUIDsmY8FgOKfHNN//+DszhKUV99hTC5h5BHny+4V3WzdpUKe1FbHWCeX9QnkG + aPbLdH4+fZz7GwwhvROrOCN95oMqOoc0pNwu/HY6YQVDdJv8//LERBlTeOaNiRHlTc5kK1F/+cl2 + p3LiHJx19ONpzF72d71Xo6GBMS3qP35sAlxEMK4EgZCLd46Ht2e44IhJwtRxj8P1N7wN6BErK0LQ + K0eT1F6+kL5WLzb3A2/EY4thUK3zHz7z84/K7XS/4DXgPh6e4mUA8eReqfStLZ1RLTXQ7Feo4JHS + m+hOt2Q6VirDqqGHPL5fBVREJie3CFc6L27XBF6SLmBFW774+FXc608vspkfhENy0ATY++ZAbDuz + 8rolloFm3kTc9671xgX+nuBpmw2z48ANV6iNGzT75T/6klvZNYDtfW/QJVa+nhiXaxt1uyf6zTP0 + +l2pCTBICIlWWhGOoelsQMWKQX78XAgf6h5NeXpiWz8O+GQr4wa60oyJXuzAY7egfqG53jDXXRJP + vCY7AXpJMYn/ZZo3MhVZaONs1sxSgkPLF949grc5PZnmL7ecipZL5bk+EEuCsq359NKUx/oVMK0g + S2/cdO9IcROnYk4eCS0v3t2AVmajY/acpnaImCfKc38knqnX+dTmizuUjE84eBS1zklgyXAu+ZV4 + rUXzQaj2GrQmPfzhn1PUrkR4BqpKJ+kh5dMBpAwkTV8TZ/6eP54BuixwYubBph22jxJgddxwpp4O + az5Mjn5FY7y6USEa03j8xNdJPmUJJSTdK/GsLzVFKh4dcVp9aKcHqxIQtc+Vqcru0tKh8Cgc4p2E + R5OeOLclQwZLBZ1t2SihTlenBqLl88KMnXPT6+q1HQBdHYthGY5o8tOH/IeHbHz98vu9+c0T8Kz/ + vV++gyhWPmYX7xyy6TV2UJpBSI4XXsQj9tQK1uJxos+DgZGYOTf750fpcE4Vbzhouw20ZCbjc/2e + 65UFvmeptCg3x3hMpH2CnE/TETfgBz6cjh4GAycbphe7RJ9q3t2l2T8RIlZZPi6HG8gHbzDYvfwm + Mf89j/BVc0ZWMm35cb/ZwJBuDHYLKQmnU4azn9/Hq+T74vy23rvwwL1Jdnbj5CtFVTVob6eIxYmU + eFSC11eJHwOig6lprfjzi8fxVbDr2cl5fwozDI8uKik0Zdyy16dNoXWzCguZJ4bTdVXaqPMmj3hu + Cvroi8keyYaQMGPmOT1UWaNInp0w4gWdV/REM8B/OCYjWLF1cfaLcC39NcFPeZU3XeNe4eHIA0V9 + ZYbjU+MCmt+XaIP28abv4n0Hk9AHDW+TrQt9wzo0z8+I5Uqh11HDN2A/WhWxV9Kl5fE9EJR53kEn + +9blyezHYfbzWLb3Qj715e0KNnEBK2JutP1mKTcAq6dH3PIL8RgrSiL7H/f1Xz9YBm4KMw+h3NtI + MXuakoi2n1T4Mw8T/cO1QLMe+MU7agtBtGD86Ab76Zm5n57WL7kS8BLuZdzbcN8Asx93Ys/6bcCD + gWENzY54sp+1fdgWL2QfucY0VotodLtChnWtauTq62tOdaUoIMmaitLiHXr8VI8ZHKKw+PmXfOo3 + DYV7kkfEWQV5yN3IL8Dxqj37zX9474cWpOM++MMTJnNLAD26U0nuuGv1/v0UEuX5CBgxkLVH4+G7 + 3Svfj/vB3HpUqKvF6arM8Y2nB754/Fyq2ea2CvdUwgLVi9Y8DjD7Nbazcg2tF+o5Qkc/p2yPWa0P + p/abwa9e4o1zDflUWxosYtIQnz42OctDI4WjzW504e9HPmzXegAbYdzR9tmJ7W8eAy+rXOJ5/teu + sVBjOGHx+8ffz/qrg4uy7JiedXXYToKnwjzPwsD3Vz4aTD3C9bLc4Q2fBj5U3i1BqLyJzKfit23D + LZLRX7+tgH//45///J/fhkH1faTlvBjQp2P/9/+tCvx9f9z/FgTxbyb+2USg3f2V/vWv/y4h/FW3 + 36ru/7f/Fumn++tf/5T/bBv81X/7e/n/Lv9jvte///EfAAAA//8DAJQ7ipLhIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f78be551c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:01 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '83' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - aa1e0cca83fd3362f772adbda634eddb + status: + code: 200 + message: OK +- request: + body: '{"input": "A question asking for someone''s favorite color.", "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '124' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaW8+6Srfl799PsbJu6TciIlWsO+QkJ6sQULHT6YAiAiLHKqB29nfv4H9nd/eN + iTwoPDJrzDF+s/7jX3/99XeTltlj/Pufv/7+FMP49/9Yjz2TMfn7n7/+57/++uuvv/7j9/r/nZnV + afZ8Ft/8d/rvj8X3mc1///MX/99H/u9J//z19/VwT7D7fN3L71eoKxjcQE+1tqrSyaFAh9ZG8Kj5 + zcSUna5uB2PhcyBcy5xwvPLNFc7GxkKAbyhoTz3LoLUPayQ5tcZ2evBpoDB3Bj7s8gzMl/2gAoyX + J8Y7uU4nare5lMCupiYXMK1Nzl8Pcn0e0EwQPW2JrImDwtwYWI1Hu5zt/d4EinK+0YPuOim/uMYV + 7uW+RaS1WVpruy4Cr09wo8b8MLTxFV49WNaw+nM9dsrbGGQ648kzgriflIORAfuTqVQ5mpgxdQYD + 7JbjSJbgYqbTkKEOpmBqsDqLSb9oRS3Ay4sQbCRNFz4tO6ih69gmtsPqrC18+s7gciQ1/n3fWL/N + BRIpytHUXbbhUuH3BLVMdrAl3RWN3RwLgWiX+9i2hY82l0mkS2r2TrCZz3uw9M8gAqmyBxRdbguj + 0f2aAXGrI3Te2lYvHOq7CJ/x9UCkt6Fpwu7GJfCTDikSlYlzl+DZBjDV3jds7Y1FY1LITVAbB0zV + +y3v53v9yiXnzTXYjjlSLoA0Imy+C6OecVfBwm3TCjavOqL4mX1Dyl0+Czy/rpiItI966n8fprR3 + OQ5b2B7B7HyURX4Ico595X4O5z3SavkwCJS8Vavop2RADqhutzcie8lM51fpCPB4kXx8Io+HNuMz + 78PIvfFoxic95K96W0H01u4U80HhrvcnwXzcLQRsv2rI+4XSyPm9zpCsLi6bQuIgGNU2xd5TgmB5 + FC8Rvo5bBfG33ErnMDuowBkoxdrNMLTZ321V+L4edbTUR5Nt2x3RYeIXHLWWEYH3EPcInCsQYLV3 + U0DeFRKh4KkYK4dYAwPduANUnsNIGknXS3pwJQ6Opnhb66dOp8ftIoCHGCKMd00HZvtVD3BM3R5b + F2Eop2t3s+A7fDVoTtpHPz4bVMBi0g4YFce9uxiFpECfLy5o48Uim8Ow9EF4yHqKk9nqF28qqj/P + 89WJejnXSq7DVpC2aJJmj41kfzEFdzY77AVZ1VO5u+rSor4Iog9+Ckf7VRNwe/k5Rr/nkaOg2OSl + 2VPr04wavUTJAgSHvLFzve3KSXF7DxZ3x8eGfBIBZblfQfnrxqjZWPuSPYOMwJNNRGrRw7MccvQ1 + obBRG2rXcc9G0z4mkIoWj91uL4Blu9MfsFednFpDd0zHopVzWMU9xup2/w3nfkwL+FERphgd1JCv + /MyEOBVNfAihDMglolfwW38PPfHT0XPtGjb3A8Fo1Q9yXs6VfO+AhX71srvYsgITuztR/S72/Qx4 + L4LCRmmoFttS2NiRr8syX1G0PYmV1oaa0ICF7nV6nMO9NggeH0FCiw8CvgHDuXmfIfzczQ2RhjdI + +2dwJXB/8gesC8mSUnIPCJwfW5F6kfBlLAtaCeL5aVN7pIeeZadUhYqRY+zY3zltr69BANU3jgh9 + vHjWjHYWSVqENIyGrd6TTfpIIFENTHUWx9o00c4HB4UeqTmJW/a9bYpY/jxVm7C+3ri/+t/fA9Lh + 09ZO2DRdXiK0gkTATr+8+9lxhBjY+/FK1Y/FhxPlPxCcnp1KVbU0wJJ99xzkrXdIXfeq9rvM0h24 + b+MLtsrPJ2Tp96iAKwyO1DZ5h+2ewXWAhOYfep3EC5sVITXhMoYN9S5uGU5QjydYMxXS4xL05bT4 + Dw8k4CqSi5KZQPD6dIBfJQvRTy/IK45zKI6nPXayWE+H7XwPoADvHlYDpQPtxY4JGPfSRKb05AL2 + LNwIpsfsTY9vIXKnx3C/wvZwVshOuUiAqd8LBIlIH9QkedDPi5KqO1FZjgRsg5p1FtcgqGUbhxpv + 5dTvhAAvIBRjRM+fW6P1unWUIE4lk2KBY2w4q0slB8VYo/21dtNpc2kRbOdWpgb3rsH0fdw6eDOm + CCvSPDASxEkCu5GP8U9/SXpOOujeqic9MzNn82YLrrB5VRFN/LYvKQ9ADSMBFWRnXY/l0L5nIovB + fUNm3hHchb4OV7nmrx2BjVyCaRDPCgy07oaNaUHagL5eBM4N/8AJcXQ2ndlJBLo/tPgGD3o/8e+h + ATGJC3xcoNpPXqoucNUD6jkLS6uN6z7A9YEjtFECuyTtEzvS2h+xR5U+nJZLacLUdBg2owMriVU9 + eelSf1/U/tz3IROGxIGvOVGwbh/F8qe/ME8kjxpCLrlZbJxN+d6cB3xMmRfSCVsO5F2HYg0OI6Cr + 3wAdtcz/6k9mGFfQkz+YKstV1eY7SFVw9w2Ej6JyY4toRRy0deNNLZzZKd8tAoRQW1Ts8WTXD2/9 + UfzeI2HxSrZ0sElgUDcTTsXo4BL1Oj0gV20GbA0Xl9FJLxJoYLbDqoqcdF71AMrtxGPbR006fxyp + +ekV9Qz9mza/5z29DhVVNxCxee0fUDDZDRuOYAN6wZoIP7f5/Gf9TE6yqcFLfmyJ3MZflxH95YEh + qHx80PMPmK8VI0Bh4UTVQ8XSX73CLCz29KQdvyEz5G0Az68IE5ALOFwojgaArqeMagweUwLwsQGr + /mJFS7J+9gSkAM+4cPj0VjNAxeZrwm8fnKiKon05Qd1fILzSBqOGvzF2+kw+NOTggLUWN4BceKuG + 7P7Q6WXHN9okhQuCdyIEWEHPT1ktl16XuEA16TF5cemcnL8IiBctxWhbcdocjN0DSCfyoBbil5Tc + IqmA+iuWKBZaMaVW9GhAmtItApw6auMm3/EwkbmIGtqLd1mcnh7weJZNfIwty1287ZzJhuwfMB79 + I2BVNypy1CdfNH3OeUoNK9Thtz5cqJLhWptb1ZWgHl4NbKKmYAutfARbEZVolzIvJff+LgDwPjL0 + mRaiUT34dNInJSk2YzUP+91jItKhfx/Q9t7ewCw+R0Uq33Qgwlx4jGijV8PNJ30goxxe4XLPoQ4W + 8VhiRbnP6QQ3tgB3H87DRqV+wdR+lVp+iVgmbKs8ygUvKIF25UQ/vxp2yOQmCdt4h0/vYcvI/Zpd + Qci/dKoc0z6k6TwskKvkgfAea0HjF1YHKPrwFCnem7Fq0xTSB1cLPeCTnlJ8+z5AvA1D7Pjc0d25 + kyOA9XoEguncz7ntNvDLYUZ68rHc5b13YuC5UkVdsDHSrbBcrhL3Slrq+jRMWZwaGcheX4Je7X5x + J2lPF3g9csrPv7Llt55UUp+wser7dBguOhBnW8cmfX206fF1Mik58wN+qRxIx338vsLXHCtUE6Ku + nJbcEqDcLjxVsupQCpuPZMHZqivC7T8OmxVFlCC33DXqvcQDI1+TCkDffe8YqaXoTndFyKX6cD1j + 471R3IW0oQT5vhwokvCbjZ9LHEPPd/dYPewRGOPXpMpXXRFQ+copGLnEv8qt6JWI7H2cLraBJ3iu + sYI2p8FkA6RPD56m5oGG8ytwd11hP+CJUzb00XOzNk9J4sGl5PFav5HGum8cAR0UJcUKzHvm5ldP + euZFjk+ekIfT7jh1Mj3j8/r/Oz2fzBcVNA9OxKeePsMF3D8JHD6lQMBYX3rWqywGPpJeCOht5U5v + tAQwvNANdW+PMyO35BD//DQ9ucWikasTLSDumYmmPjqCsaB6DFCaXTFOHid3+g56AB9ybq795luO + Fmof0A1uH6xtxlQb4euhQJ4+BOqCC0rZ88FnEApTSrEXx2zulyIB6vzm8akhk7YsH6jA9hk3q3+p + ylYMjz4035WNb8rmzOrlA1VYwKOw9tMQTKN9vQL1bO3wQd++09l5zRJQnmREuwHr2qy+uwmeH4St + eSgAZOMLHQBpMWEVnrtybB6uDlPZvFJ9m24Yc/PMA3178Gk8k0c6LLnCQ3O4+PTUjmq5M04tBGv/ + RIsObG0M4pqD6/rHCjCbdICbAw+yifN/39+zn/9Z8xeBfr7pp2FkAUytBSPBgedysiPflFNyOWO3 + wxtASfauoSfJjGzlk8iGfSyv+s/OBOrJFE7tLeT25Sm7UdMFlTYKR18EQi041GjNBxi1W+zBZOOr + OLrsONbw76ED/fJ+Yv0bWIDtjlsEX9L2Tq2QVayOe7MBO5p+8KlUSrDc+zsPNu21XutNKXdjOQZg + rS8yAdMKh1XvgaFRlUiwuYXTtXs5wOY4hB3TT8tp9RsACktKj9x4TZvudEigu5kA4faSGc7qmbOg + f6pmxDf9vpwFVVXgFECKNl3ZaiOb5hxOvX36Lz0QNdOEYlodEOAG3RVA5To/f4WdsBPZMGSoAVxf + BERIY9v97h4igf1uuuBo9dOMlFMGD3pzxpadvsGy8bkG8t7jSV/3RXCHkmcKXPMg4Vksukvcow7U + ztwhmFWMUYnYFui31p6a3BeVc7+bfSCfepeevLfOtk815uCQUIAPzV1NhSoSG7jmIWxJetVP492B + 4KB3Z2zYBWBtv5sDec332LrmWjnAvQTB1ewCsnnaLuhvjuVBK4gFwpmVDtr7tA2g9nVbkq/9eLCj + 2ATPEWgYPbXKnXQxa6RVv6jWfGYw+sd2AMV8pdRwcwUI5h458NnKe+yURxnQ59Ca8Gt9OCI9dSEc + 8RkGcNVnjDxouctj8QoIU5hjnTO1cidlUQ7dJY6x69wmd5GjlgDa3in1LPPQz633boDn23vSwFlL + l01vKwCf3APhvQyl/PTxCnhQlS3amw4D7Lb1OtgPMMFWyHSwdAOY4DtRENU9OwDs/LRzeHu0OnUA + NsuF3pcMfLaoIWnGjiVZpvMCy42toh2ppXB4ipgAUjgqtZY4DKen+ikkfLIPRI6+vNsfsy+CzV0j + 2K61KZ2czzMCYgw/2DliorHzbWl+/okmoCrchd6l7M/96XVzBsyf9wI4y8aEYPFRyvXz15+/o/ZT + frtjGC/Onob8iNffm02uefShK7svwhpfCNna/+HyRoz0gfZOh/X+YOurBnlvs0pjlXTuIGFMQqE3 + qtqg+JIJ+74Z0GblF9PJDB7Am4uELHFMXKYXQSB/vM2VvI/erWck0gToFeyCTRfo7i7QnCs8ldhA + C//Zpwt/DSowS2dMz6g8hWwvpgMkA7ARjN5Dykj2ruA7Jjlqfvns55ewuw3xl9M2IZPKMoYFNwY4 + CTsR0FOa5D+/gvV2c+wn1u88cEsODVrXJBjFEAcS5rYDtZ9hp7VGc3nA8tMI9Fd/6+8TQG7Daqre + 1Y87i+O9Aw9hk6M3z4/ucLynCwh0zsBGfc+0lffwUgqWhrDX1g0ZuScErPVL3WhSNBqech1+e/9E + EdltUqoOlQDRFWdoEVAB2MFdILTfuYizpM/BdIx0EQrmfKOozQgjcY8a0G+dPVbmG+5ZVxwe0po3 + sF0MSbkMp0mCWSR8qemeT5qA0sWXT/mnxS5rn9r8gBwP+Xz5IK7hd2CSQskDYXxLydxNYrnywgeU + wEvGavPqNCY1kg8/6KxT78yP/bJsmwa8w2eDYGDb2o/HALsQamzvtxMjK18D/pbXyM46DNry8zPR + QUqxGmtLuWSjIkDDjDKMzH2eLsaJy8GUxyZ9PsJPOk2SosIfr8Ov7bNk8+cRwGN2AEQu+iZthEfO + weebRxRpRddXXyCK0BAPNkZha5bC42jpQFYlHTugUt3dJ9VqQEnzRZ0pLeVA9aCDyg5JGJ9ubkgD + giYoNcUNm9Vi9ovRWBK4ZvyE6tUPM+6TJIBfzPC0L/vRZV8zDGCYiQd6LYwj+GzfsQlFB+f06Kr7 + dLp13RW8DFyR3T4y2FwrjQnvkRrTw/lzLIfHnHsgTLgdNZ3vVZu371gH2aZ7YyORDbBbeRTkBl7B + j9tuq9GZSipcKNBRzt9t0JYXwwOPYvBoPCh+Sh3scz99xPg01GCpIrGD7dzLSDiUb3c+gcaEi61G + ZEv1N+hW3rDvdtcPkR0RaJPcnQsYbpeFmmJ1dOcw7H14mjkH29czZt8LdkVY1WaNrTrQ3Z9/gdtw + 4dBeeh3BPii9AbJ3V2LT+QpuIzwaDqL0ccWafNXZ9DzCGIyw8OgpCuJyvk9bHzZp6xDeSc1+O2iU + gGyCPtWnwQzZ6ap1e29CAxKL8y5kbgcgBB9FxnoXaRq76LUFDsp4xF4jl2x4BokFDfOaUSdSDiFf + flAsgXgfUYUnRjodkaBCeXMTkCR/W7ZUUo1AHeMDAddFYmRg9QMaAIZok5qVxvrT2ZJXnoUYg8dw + YqbdwNVvrOv1FVJmIg+0qC/x6dUSdx7QKYNYIAesbisXDPzgxHDNp2jqNl5IkSDnMGgDDyM35EKW + Hu4PoLa3C+pZK7tDd1wK2Th2HrZvvpquvDCDBUcD9ADT3NORuAqgFyelJ9WK2GJXrfrH/1rSPdem + qz09fn4AcXr9YgtKpQAaeN5hdQMJGBwpFoCLdJ+67+2B8U6yqcDR2D6x8dW27vh6Aghf0D1SrMkj + mDYGX8OQ2dc/fHP59N4C63lEpHSUMmWrn4S23OR09TOgLaiX/Po32WqvyJ0JV3Lg8t2fqHa4vHo6 + 2bMPWXTy8LO58+WgDbkP3GtA1/kBZfP0eutwGMwH4e+IL1eeFcE5IifsOHXJ6CUTc6Ao4Q0fEXF6 + 3paMBnqNeiLVdHMY/51TB2ZulFDt/mzSfNUzGE5vCc29wbu75GpPoBY4E3sBy7VpaIYYrvqMj5e0 + DZk6DDycbTEgY9FboRBpnQnK6mLRQ29E2uwZyyDGUu7+5jM9kXHAgzUfUUf+2mDHA1bBn5+Qs83N + pcIQWHB9nquexiVZ/YD8knb3P7xo3PSXCpYmmP/wf1blxwAej65LPiTpwMpHEKynNKcHH0z9bIzV + FeSXPsJO/zTdLW1BB/ZO75MWFrQkNOpreJPMdNWPD2N90KhQt3IHhwx+Q/aODAKrp3T85cue7S0r + gbLiN9QLmKIJ95w3Ze+EAoy70nbHp+pzstkfCoxPKgWzWDARdpqSkfbZfMqxX4oYpEI5IWr0iTvv + LX6ATvxISTMoU7r8/Nsynhvsvt0OzE7SK7BfyueaR4p+rddMHl4cI4wFfvp9218OenZoEeDcfPcP + bxbZktND/D2ASSucHKoX80B1+TH0U7cI3J/8rGv3IWzXfvsnfyvf5tpPpzmTfuv593m2SOUG/uEB + etPv+xlSpYPnRnhQ5cRQvwVcp0O1pntEyknt+dpvfbiIRkmkLK7ChTOsALy4qaQGMWi6zrsmQPbq + go/ihaWjsTAEv003U8PDUjntmRKA4m75ZJPMTTnp4rWBpP+m9BTsj4CV+uCD6/eAqfb13i4rsar8 + eBnVvLguh00ymfJ2KbQ/fvc3r4Dg29zxadXrP/wk3omURvfSd396CN3g8vmzfmdxPHdw0zURveeK + xZZ77XA/Pktk4WkxVuU4gFtL1n7zCTZJqI/AJ0lG7K15bb7otgAmat7QVj7F4M98a81rZJfa27BZ + +5dsm4O8zteUcqvdYgQjXuSxDpdLSUhlKNAzbhx6d5PYj2bTNL9+QirtPqRz8XotwJa7nEi3Ayq3 + p/dlgLIq6vj1ZAUYJPvxgP1e16j1kZueFC/X+9MP3ff2zYqX9lRh9U0itARKx/7ko5+/3O/zSzoL + 310NVr6DPeF20LrffHV8siM9PUIjZK6U1zBUpzvab8oHYEJwXODKcwlxwyzc8W7jQ9dbCnpYHjYb + Vt4E69Pd/M1n0unFdBWOW7leedEnnbrAD6DfqxYZtmPn0jnhCjj7TFvnn7k7Hcs5//E4evwUn5T1 + 4rOGnaDuMAo63h3OqlSByL3wWFv9Ipm3zww4F2GDD1nXhlNixjUkWiJjiw3vcNweTwNE5A6p1kin + 8MfXpNVPkltqX9Iqz8Lhx6uw5x4RGMKyesibrosQuy8lWAqcVVAM0g3ZrDxyPF03EB6N3RMlx8ru + h0lSFLiL8+3Knwt3DtEjhrpP2jWvQ7C8TtK0946bhB4avWZzc4UI1ofoTJFQ+uX4ufgJ2Lr1CzvP + +5mRTX9QwJo3qHURvJI8YBFIK/8g/PdbpTOMOB++b8mCmK5mKeO6NgDd7bys82ipn5+yqsAhqH1q + 7ZOx/DNfsQu+RluFFeE0SZYKV/6BhFQbS+JOr3X+PfP0RCfHXf2nA//+7Qr4z3/99df/+u0wqJtn + 9lk3BozZPP77v7cK/Dt5Jv/meeHfVPizE4EMSZ79/c9/bUL4u+2buh3/99hU2Xf4+5+/5D+7Df4e + mzH5/D+H/7Ve6z//9X8AAAD//wMA47OjSuEgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f7a3f511c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:02 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '230' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 302d6bcf723120accc8dac91da87078f + status: + code: 200 + message: OK +- request: + body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following + text, covering the topics present in the text and nothing more. If the text + does not contain information, describe the type of text.\n\nText: \"\"\"Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": + 500}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2991' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0yPTWsCMRRF9/0V4a5jmbFqJdtSBOnHZqxCWyRmnk5qJi8kzyKI/71YStvl5RwO + 3BN8CwPXpzC4nc22djW/WzXzo2ual+dxHC2W94vH5VOzhwZvPsgJDISOsnbcp0DiOULDZbJCLUw9 + mY7qup5Mhxo9txR+9EFrP310flBVNxe/Y++owLyevjEMVNP5oi5D+aKsypRI/KWveKukI5W6bAup + Nzxwpl75VA69ajlwVsWLsj3JG66h4WNLR5hKI/AuZd4UmHgIQWProy/dOpMtHGFQhBPO7xqHYncE + c0LK3CdZC+8pFpi6Go01/r7+gmGlISw2/FMn4/P56gsAAP//AwA8cigCUgEAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f7cd8f21c83-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:04 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - text-davinci-003 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '2033' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249500' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 120ms + x-request-id: + - 268db6b1cd81e084a18559159d15832a + status: + code: 200 + message: OK +- request: + body: '{"input": ["Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2778' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RXydKzupLc36f442zdETY2oOLsmIwxg2SDDXavmMzgATNIgO7L3/i+09EdvdGi + VKEoKbOyUv/+158/f7VpU2TjX3//+etVD+Nf//UTy5Mx+evvP//9rz9//vz59+/6/zKLd1rkef0p + f9N/N+tPXsx//f1n87+R/0v6+89faokovsnVxZ3cBi4oVvoXM+e+RXPYrjeQBonJzObSoklfLW+Q + W36nsxqqoaAltg17Gq3oaji47vDatQFSsPggdgW42Tjv2YGKR4xuWN64s1npAHraNcTD90OzSBJZ + yaUkMkY+D9R8DRIE6OSJBSu8EhtslsJEuVEfE18+Une4XuUa8loF5n8WbAzRp/dQ2e9UzKTGacYg + Pjhy/goM5rVSxYfSRCIaK9pjQam0VJj9dwBVoElsf7eWfql3/RbmPMyYUcolH0ZHuqCVfPDwpEqh + O/n6t4bPZ9gzI4j9ZikvTgH7hTvEGs68f0Wis4VhPuoMY/mN2qJKCrRr3yIxntTvR9StZFDU/ZP5 + aaQjrj7di3y2A4ZLWJ7N0l7rCYZPVTBiDqd+ypVZVVqL9Biy6dAvlVx24Lqazg6hOKV0nykmxPfV + hznb5IIG2NwcKYJuT8zCfxuT8bpt0Lco3uQXr2U+tCuY/IdK52RW+CJe6ROxd43IMasdd9O+jhdI + 8hthJpJwKKS7yxu6aVJYpFZZyD8jL2Rx+zCY/aAtGlsdR3AT5IoOc6WGU7jzI7gezJZcz3Pn0q21 + UNTVDBN39IyGhzxw4BpdU7qyBy3c7gxFhJnrBd7s9lkzz0ip4aqhE25ewhQuw8k+AbZNTLzuYfPp + jrpMFqzMwquv9EqXV5hhZFn6GS/aQQuXQ61minY6hWTPzw9jKKqgUFDOfWI9oXc5/rgA8Khk5hnx + yZ3R22khn6yemA8+uoOIWwzhRtsTEpOm4SrJt/JyyL50vKY0nKQ8s6DkdYipPWgp1w7PCZW3l/SD + xymd1GNZyz98IpZ2pcZyNv0EDe9LggGxPZovh1GF8+t1JhYxWTg63eWimFLsEDe1N82ch94P/2XG + HH07oeG7XXTl9tkuhJxthOYl6QaQoEeM7I5zs0jJvEJpLSBi+bOUzpITRBB5ZsbC02z1lMWuCb/v + kbqu3/OofZ6AyveceE1+Tjlq2hJ46WZ09Vzqns8PqQWGdy1WjHidTvity+vVOnhiyXs1xkxydYKP + El+I0++HcJr6XEZlGXrEyi5ePw2DaYPn7Ao6u63d/JzXoa96E4nhHVtj+DyEFRpuQc+0fG03051S + HVaheyDHTEhdPg0RgOHfTwx7/OGOo/QGVAjWg7hVJKdjWjMLNWU+MoKUJpxJbi+Qvdue/PKxSuuP + +YsvOQ9R27OATAs8l8gjWisMfIYduoCxiSMs77DVb5Q5vaDYlUWiToDClpyvyT/1+J+FuvNXKFcw + OBgoqvPcHblmA9Lk60j0h5X086G5l0D6T4un/fjks1ZAAkW1u2HhRQY+1fJ+BffGN4ipH0y07G/2 + FnVEJVTub0r43aw8C3Aca/RzK4kxh853g2JXFMk+XrOmi15HC5bmecDzWxbdoTnoGZoPnU9U9a27 + i/WVaoTjq/ZTf5oOIJk3uAlixfbn2TH4XXts4Ol9HDp19NovqWHrgAJ4E32IdnyoMSphdV4ZxArF + yp0e928CqhT5uBLOosH9Tl2Us7i5EaKYVshF8g3A9P2B7IlZGstdgTc6ks0Vs+q8Nbh3IjLyR3dD + Ny9h3SycbZ/QsFPLcHW2EO0ckCE8oA+W8bp3p/gh25Dly4Wp2XoTfu8hwpK5rCjR3TZGc7rLnnCo + wGXE84dwiWsz+NUbvNxEwW1dsdoCQlvAu/g+uBOjCQVeHjMsGscm5FZbZkqkCEdmxms17NKtW0Jg + iQeS9DclbT8PAaDfrgU64WuTTmSH3kh0zYVpwvnmfvVe3MDl+aZM1w5aujtGWg2bq5wzXXwsBq++ + UQTZFBAsCsmcLtHraMKkt3e6iYtHM9yvZgDP16NiKixmPwrVWKMz71XiZ1PEmdyf3yBYhUWObqEa + zD76Jvoo1wsdt1ctXIhwL2A+s5b5V7pOh9GZL7/9T9cxMXp2TdkWJWr1IirJLHcrpC0GfbdotOHP + +X/6eTqqAtPOW5yyQT626Ee/iemfEpfK2g3L4WUJiMaNJZ27kheg2suTWPmnbkY7LQvI++5Bv9XX + 41zLggAl9spkbiI0zQKoKNHh9L0Su6mvPQPh7EG4Czyyv1tBzzl9lfDaXVR2vnbI7UH2C9CfpUy8 + bpE49bguQ3mMLSrq13PP82tswvJdNZgn68GYjrTD4N/GL+7sed/z53tqAQvJhHfmVnLpJT0WyKDU + ovM+MVxG/NoDe4zSf/SI7fRhizb+Q2HWQ4tSvlGLE7SNFeHtfIvCeS1rIrjlYpKjwqgxu3UTgG+Y + Cbkbx6X5+J09IeKbOjlX/BpOrlJY4B27hBhh1zRzrmUnuDnlieRGvA5/7iOiX36oyl7oh1e9THBV + B4/gNPrhy8rdwrb5mGRPnSychUw6QY3diK4Cyv/Rf9hap5qu5qrg/Ou1LZS3j4RnrFf93N+dBPaa + njPD1V8GewtDDbR3OspLWeXjp3iKv/zAVDVrxPJrbMHEVjLl2uHUj20jBuiIvDed5Jvbb1Y0KoF7 + WU68eXMOZz/UHBAel4yd5VvCaQCXAAJ77xJdWmx3vujThKqjWxPjsEnSkVSKjiDgOiEbJnKmPo2L + fDnZDV2PyRQu6uktwtt683/m2T/+w+knQh71/sP55T4lCHdvmxGKdZce4+T5iwedu5SjcXtVPfQu + Tnt2Kfy3m41bY4GKXxhRL7HAh6vmq7DKFcrMimp8Ok16rZBziVkoLXE47/YWKLazrYj6ulR8+Uqm + DZxC/KPHT7R8DNmCSp8t5m+vWjpZMXWgOm0E4tnBGrE7NCVI8EU/+m7y7SjmMlTaUydB6St9f9fi + jdxocKBCcm/7ubRjCz7UqrAwnJ/pVz7kJdRlf6Y79zRzbrzPovKI33diW8dVukTbeZJ/6if74fwM + l/cpTtDav4TsiAtkLKeD46EaHyMsne6M89FdEri6NccSdjuDm83VlLPAK5nniD3nEXFq0NfXivmt + NBvz7i2KcrSnKiPtu2g6twowtPdsYYfn95su2WUaFNEcIqZ9bYV/46IyAQlZyUz/JLu83AMg8YNP + zMzkyWBCs+7QM8KUqUes9ls4eaaEe+5RmKsy5Tcza9HTezm4KyBwZ0MeKErfG4IFK9P65YA6T56f + K0alwSt//Jfews57JFh85V3I+qgNwEY3hwIpnXRYUrSgQ+MSjJ7PvbFk3Bp+5zH78avGtrxtBzh4 + 5IjBt87N3MSdBfh4Dph5v2/CTh66Fn76l6VHMW7m/LMUv/8VcuDLKh3m5rlF2kuq2XFcDsYUDY8C + /eqhj60Xn/D62SH1psVEj4vKWC6pVqCs3xp4pcStOxskCZAWdQyL4gGlc9lpqpyuhxezy6/YT6TB + FkK4TFj443+m1ogTWRViiZjX16eh3fYQoV/928wriQ/CbjCRT3YB5mY7hM+pv8owGi38/AemfvSO + xxrpKztnjpIN4Wy0oANZbRg7VPbYDM3BydBg/AcAAP//VJpLz4JAtrXn/Ss6PSUdEYUqzoy7KFKF + oFySL18AEUUUuVQBlZz/fgJv5yRnzEBw1157rae2UGIUbYVscnbxDHNgCPT609uAbqtdA3zXrxAz + wD0Y5/HnwXt0vmLrmdGsj3P5Cr2zVGAjsaqgPY58COr2fiPgGUpB3ylTL8dzl+JDPfYOe6RtDj05 + P9BjJHUZqYMrgkIz52R0tSEbK4cj8JVpKtr5/i+Yv23swWDmVTSykHeGwgkkqM6ji7EogK5PlGIU + ++3XpZjdDDDZ1szB6yX6kk07fDISvQwPRj83pfbmVgMGqrKEHo3jJX+WWelLJxus/gS/HwrYHeqq + gWBj6fj4/J3BZDxPHGyLQCNbpzIy9uR0HlZyGOFDcxf0fvgdQvH2gBx22UHoeo2b37C6/UxqLn5u + 0CIn/PMPS/9XPclbTVryFeFCjLMpDkdNNjtzh4TV/0d3T5MXP4Tty+bbjZ4xWjC/j1eKm8DtGL3N + itzM0REbx9wN2L32rrL5kxhqlvy9fD8EUCqu1HadLSDLvIUlF0r4pFYSIDxkGkx/CUCycHsGM1I5 + AegHjaeu0/eAmHpwhVvtPuOzZUgOWfKS9OLIhqrN9symQ2POqx9EUhNr3Xy/gD3QDiim6kfa6zQf + jikUmjHH6rM0glkUDxysrTlCwjJPSfsO21WPEVTaT0BfQjrCozBn1EgsPZhc1cvlw+/ZYd3RTGcU + wsSH6ZPPqKYEtGKrHyjd6YLt5Do68/K+YPGHi99PgzF9KQRGsHjSk+odwVSUagrNQyxS7Nslm6ZX + NgK00QKq+MfRIb2n+OC5fx3oobmH+vxsaQw/46ggojp1N4XnMYZgW5RYzWra/ZKN24JR393Ju7ra + jDIylPC42zzoOcEOm4vq/ZGSCutofNRKNno8NwJjb1v0EFqhzvAj3cPrWcyoU/y8bHL7lwRLfojI + zIktm4OX9AKxGe4JvGap3u53XgmEDExoXOZRV+xUTT6QQUd7dna6acMJJ6jw9pYqZek5jIvnFl4v + ty9qq7FiTVCWsWw+DIcWC1+ZXDUuwDDKBcboWzuknTIL1vvKoLqsaM44Vb0A89HDZLpvmooYD1GC + FoQhPk6Bxvg88gX4bPMYH+ISOz1NBgQd8O5WvchICD4aUPrHiwhtyIF58Tcwj98Qm/Lzmc2RW8zQ + Js8H8jPfBTyX1wLMgSWQ/a3Ug7nKXG8XzIKKdkc5Y3MIiAI3VHDxAU1DRbhUJ/DWsg+SDecSjOBW + afBz3mBsS6hyyP7VKeCBHZGet7dBn81Y4WXiCjY97htnOY8YAndMIarpSc3GvTi3IC5ghvV662Uj + v7nb8GslGA0+eWfsPIk8LCJtxKpk/gBjN30Ex4dp43OkfvQmfdkE9LHXUX1/HoPBqDdo1S9q0Lvu + 9IYt+VCQ0XfhQwrbtZX7WfvtT+8m03jHsLRPGqr8yO0GwXZGKD/TlB5I3FbMKEoBIlS0GFm1mI1Q + NFKwc/yQIifpHCYdaQvFvTtiU1LMalf22QlOrX1Ak660zvet+LnIQ/5Fj5feBFtXjXM4fGyB2vWY + ZQsv8UEOLxLZ45p0o747viRiJj/qoiQEo2A0b9AVZoGJ3IrOYItCIe0fpYxv/cUIxu9DhlAyrQzb + 17LIyP3CpL9+l/O7CSaBheeVjxFuflbgz3/1fHpEVebLDjum8gyZqM8orl63alj77S2CHg0LTyBx + GiDIhSlC1eLvJ3d6nGAGvJSIGdnr7DxNPLyE14KaxzzvmBClV1hdC5UeldwG007xexg+ppSkQsoD + OnGHBmYnMmEnVCf2TdpZAHEVf4lkT3U3gZbbg4VnYX/Ji3Uw2RpsTO2LdjIirMO8kq48Cjvt3FbT + 9lmXUM34A/rUGDpEqa8xmLmYkM6YeMA8c7Jl6zdg/Nf/aXWcYZxMOhLuX61b6wEMr+CpuUnFjGS6 + okEvohZhchA4g8dqAs7BsEXSufazGbzFz8or6cE6Un2adkcPrPwLLH5lzhki4jYUZXz2vm4wR/dY + g+rlEWFHBBswLecTJHGaUasgdTZL/auFtfreYHXJW5N4SkPwPMCCrvxjzT9gdO8K2Sv0VG03HHeC + kxhL9HiM4oD4u0aDI59Zf/N/cnbeDKv24KGcink1Z89QWfMaGtvM6Mbxwp/+eOjCT6uxj8IGcmGM + lrz6COiSn6CvAUbd7Mf+/D8g5VWnp/uWZmveAxRtG6oUdRYMXNi8oHlqFGrqKAQsn7YNyD9tR82f + LlY0nisJNtPJxPh5CfUp3GsCpEHAo8l61oy9HDuEq//cbZpD10dWnALvcm2RpFYpGz/HiwZfrc/j + 4/aAu3n/jTxQGKWAxnzDZzPNNiGkv1GjfvPq9N/7l877WTVcatKTGmwz42LB2LzuacY/e4dt2X4v + rbwEfN8PMCroOkOs5w+sv9Sq60Ksvf784dbQbLBv77EHX7lrYi3e3xxyabsP9NWeUid5DRWVy64X + reblIHZ4HoMh2ZgtKI83i94yBjN2NU97aM+bDsnSETkj92t9aL2rHRqaj6IL5+RnQ8+4b/BpUp4O + K3aqIi/9gbotr+n8tPevoEl/AkaZruo7BMQC+prIqBttvw47SIkNq1x/YiWUn4xtYK7A9ijsEP/Z + GlX7mdUQqFyoYmWASrB1p8iGr9bjF95s6UJ1vH7gPr3VCNZdpLPx2/Yrv0Wje+OC6XPmEeRQD6hR + Egjm6ph/gDvGkOovVa96+bS15bPx0Ii88TzQOxUfQuRLAnneotYhpZbMUBwSG5ttSLvuwikavN8/ + I1X402fl8yWodMdZ/LDbzeLx6EF7lwlk4JFYDdnchHDVT0UPHMbkOU/h0D999N2Kn4xdfn4JxEeU + UCNySMVoSjyw9p/NB6Sbe0/x5M5QDKrOoxq0z5qdINN4iR6tlgRz4r9OcLD5Kz4bjuZs3xr8gNuu + uWBbRoVOtw8nhsqlBYTy+Rf0sR68oWPuWsI2gwNmxZlbSMRzgq/sgtk00/gMeG8wl3z7ZNPLbXNg + vZ+7tV+yqUu0GMbKfiBsCM/OqOlEktrr70F1b/p048ILoWM0H2xIwSHgz7njw7eTWtTVDRLMLMx5 + cLJ0RDYB+YKdUTQCHO7+A+vsolS7ESkcTJThiPGQjtniZ8q/fHn6cb9qPg271999hMJ03RkPeGvA + qtmfV16STQ+BhMBOzSu1JaQ7Qp70cPXPC783A+bqr/eaP2iSkb1DeTcl4NQ8bWrth4JNiZTEsLxo + Car4uOrmlW85QhYgRsYHGHdqN4KFV6HN4qeFLhJDsOgRjhzvAqZGs0KoUPLDrr2pHLbMa+h2cKSW + grpsCuHGkryt2mB14TuM/SYfXjWDp7bvx9XCTwU4xIcDmafTseLF+fiWXodRQuJ9q+hsyVMw/24p + 8pZ6DLGmvWRLEUSq3qJWn+nY83Ctn007CkZtOEpAZycf6ztzyMhdcRBMnGrERvUVwXBLbj2008OV + 6oHMd7/zUX3Jy/eSLT09A5ZcEgtOuRVTQ+ERGKdi/4E1u/XU9vqpavjzpZE/CoqQPPNmt/DJKwxc + a0M19n5l/VofrBePhf9GYOIGt4Dq5R5Rh4pDMCz6JovVVC95LOvo2claGMm/mircOc527bHj1/NN + z9VJyYT7BUhSWHxCxBu3tutJ/tKgIyQB6vVo1Nf7ENhMtoldqz4500Y6SiAPsje1hEfiDOK2H4GE + RW3hIUUwKOy3F1FeJhgt/qRdeVE9kJyIR+Ob/fVfo7ISbXF00Rd/6YOnr4tk35z4gPbxg0BTVe5o + Soszmyg3h1B5Sxo9xeRcjYf36y3vTTElbL1fCo7eLC/3d/SwP5z1OfzJIWwA15P53ltgirO3D7ri + UKAtqh4BW/Qccq2QYKXw22B6golA5ynb1Mnsa7XwFmnl3TgM9k99PJe7F9xdTwPFVYeYUJw0HnrR + YJHtk0wOW3nvq/xdsMWLszN++KoAK7+Wl/9r5ZfQVs8cPiTfiQ2Xjm9Wf46NTXrSp/kRcpCvjx4+ + GJXt/OUlZOwOaJTNW9c9OV2Aobw7ol9hX/TxlpJxvd8g8Lk7BfRQdy30yvq+9HvZzebUfoB1TgfE + 2KWsBrXgY3gLowy9HpZUUbhNEPhC28O6N1nV+LXyM6xZ1NOTWqWA4LLj4CvHJoHJCzLy82tu5Zd/ + eYls/LSBRX62cVrqt//odVgpL1RtubZj++utlKoLkpb59NTn8mBp8EbxhG2vv1TEFEIeFtJA8JqH + Z3/XKLBRPjkaUXPNWC+pLVz0G6/1ZvzLPgNccwm25u6cjTSpERSu1ws9E+VdEbdLeID8vYCDFgbO + LMyuLeMtPpN3YlXZeMaIhxbkQgIfP6Mar7Zg/OnNduHbw2OSLLjymD9/8tV+CnBRi8iWF19gMmfQ + ws+0MUidf0kwZubrBCmHXIKbD1fNGz9tYYs1jJ5n6lRTDfQc6Po0kFUfd30c9WCpDz1sQNztdtqb + h6YXeH/+S7jEkrTOPySp3o8Nad3tAePrL9XO+Q/0II080DiZTlc9F3KSFjC4PB168lnEfkN1Ula9 + pEEgX6sxeswn+K91K+C///HPf/6/dcPg09yLelkMGIpp+Pf/rgr8O72n/+Z54d9U+NtEIH1aFv/6 + r/8sIfzr1zWf3/D/h+ZdfPt//dc/Rf4/+wb/Gpohrf/Pg38sv/ff//gfAAAA//8DACC8/ZjlIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f8ad9851c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:05 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '802' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 3dede0864fd0b6b9c3da0f83741fc5e1 + status: + code: 200 + message: OK +- request: + body: '{"input": "This text is a repetition of the phrase \"Lorem ipsum dolor + sit amet\".", "model": "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '148' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6WROyOrfm/fcrdu1b+isRhYR9xzyTKCBqV1cXODLJmAA5df57l76npxsvMGIR + 1nqmlf/4119//d3m5eM2/f3PX3/XxTj9/d++1+7ZlP39z1///V9//fXXX//x+/z/Vj6a/HG/F5/X + b/nvy+Jzfyx///MX/3+u/N9F//z19zqWR7LR5z6mOQYpeIzJlVoeSod1OMo3OOztllo73QQ8M31H + 4kVVozZ91GydJi2QWhnxaP+0LTBbVZxC05u31H3QvT5f+s1FTKvoiY1h5wxr9+gcSSyUCptthnTm + vtMVlORJyTol22Ho0zIBkuB7NAgceejbyzWCeohzwrNNCFZ0vmrQrv2EbHRrHpZgwx6gto4Ntrbh + HbDihh2gP5YrNfn+Ui7ixXJA9nJljNwZDuuuPnoyDHKNmjnG+eB9mh5am3ym2rld9fGKugTq+ium + ym4U8lVc9hJ0zK4j0t0xy5l+ZA2e1iDAd0GzSnaDGwKS80oI5w2HgfZvdwZx4t2RXPJoIGEgNRAE + N5Werwfks/g6jSCs4Yj147lmq2lvIEgAF9NwjRXAm+N8k5Frtdhp9DuY7tfYgWfpdcYep0r61N6c + F7zM84GmHhIGWqnrRX76zMTqc+eDCTnBKF2XVcKad48HNk/3Bnbz1iJ8wdN4NttOAmj3HHDIB49h + sbcvCEEXW0h2w3PMA3AhgImWSjXtRPI56jwF5nosUiTUPpt2mOfkwxG4aA+VvFzOQ0rgxo4FbHCm + MrDWlBXwSW8f/OR1M2aAPxbyAxxmqniqxkZn8zJk+RQV1EQbgzHteizky1CqBIT5K2aeIjmQ2KFC + lqv4KBmU3hdoS1lBrUNdDnOxsBRK702NdgN96SwXKA+bKkvIrhktxu5Hvoc3FPU4WKw3mO2cC6Aj + nUtqqEfVX3adcoEit20xPnFFPj/KLAJ5st1h02vMeNdliwRvT6ElM6eX8aqXlx5GfiRje3MX/DWq + JQs6CzGodokCf8b2dIFaeMiw8QkJm9mKC2CK/p5M4yaMabHNKpjWqYMVsy3zcXtTE9l5ORbOmKnr + W6GYX/BleAf0ff6cnPZvInOJL2H78KD+OjZSAq/HqKaKfHVL5n1IK228jYV4d63B/JxmAl1cLfQQ + zm1Jue7jQLbNFuzVUjWsr53ygjdlH1Hrbjn5UuquAjvZ3WIU32nZGi6qoNzwL9Qdq+uwMke3No+2 + c2kYNgIjlbtHUrKPdWzfu6mcW+20QuG4L7D+GmHckZ2aQOBnl+/6FKwnOB9gGq8eRfeyiEnG1T14 + b01A9kPrl3Mizqk8J3OGo2uo+HOeqwZ8ckAl4kbXyuU0DRyQ6n6LQ5o9Y+rDoYDuo3Soi55hud1e + Iguii7KhhhPu9U/+aBOojZP1vd/LrzZzk0jNEl6xcxyIvlD5GsDzUCnUYsnLH8rNokALXS3sVcZt + IOZbz+DtnX0wWoMgX3BUevCGDj1Wj/ampPqzy4De9Bgr8rUrScqJFYgORYC1/Lxji/aaNek2pxwq + T7MZ80vYRtB8N9rv98O4M3YI1lw7o3l7NOLxVecNPLfcFfsHvOrz53RNofYQLtjVcKmvm6OTQk9I + Ntg1dR6QQ7mfYXwsBLIfzks+zsTYi/kNnbH+TgV/Ld87IvWmNtCwClE83d7zQe7jjUZWgt2BPwcv + De4Oi4R95fBmq/SQE4BqMJG8CeiwiLeEQFy+LALu2eF/4xvRGmx88eKLTxxMN+8aG8fDMV6FQxLB + U1gciShSqs/PQzqCcXN1ye/5+Ge2daC4vkT07Z98uPgzkcsbWIgQBJXPUqAlkP88DerIgl4uultL + 8LW+Y8T5TTXMFhHnH56Q26676qtLxweIMbdDuw2Z8/Z4iQm4aglCk7fW/qy4WQG//EJ29kjB0GXi + HpazSqhyRInOkNIE8HPKOKycPvEwD60C5YNy8qmVr8mwPE5BA771js2JvIdp3DoauJzPN2o3YwOW + 4eV7YIdDQET0nAbS+EsBbXNsKYqDU878iXtB9vhUBBRGn4+74ooktbO2qGKEDV1aWwKIT8jCwU5i + cWuLB/TDUwJb3RnmDzQF+AwEQjbF86MvfHpYIUn9M1W++EPoK31JwnJGRGrvUB/PmluB51J02J7E + vb9sN1YDk/NMMD7WBWD3I2yh9S51Qg/KVh8TcZ/AMapMfJHrLp5+/VDW/AFbU7qC0SLLCj0jGpGo + XHN/+tazjHb3gbzEXmdjZhkBHPOwooEpKPG28aMANpGQEgnHob42/vKCknL9YMfldX82H/4DnMLX + kd4ayjMyDI4E61F3sVMIQbmkNeLB5rLjqc9Vm3haNlEBDSA8yJYHK2N9fUhhGo3vn95gVC6fB6gv + Yopdz0L6or32ClyRh2jIGAcmabk20pasNfaDpSmXrjhcYKMgSrG2FeIhuxxushMqLtq7fKnPqrK9 + 7JhCdlR/uBVj/PVAoHlQDByHWCmHeTpV8HhFPdaZT+K5PWorPKt2hfFKj+WomDqE+309Ix7Uj2Fq + YO3AO8ID6lcP68usvz3g5uKbakBtyzlLFiRfWjHDQfbs8zF6DBXshnqHCiTE+twotwcsrE7E5lZo + GNmasiAKu94kfA/5sg30fgXlrBPCfx6dX+vuJMH1HflkU8zvmBVi50HO5W4EtknB2vFZ8sB5eRb1 + LSb69JivEB7FcUPNzrCBMG8WXrxLBwvjh2UP1FqvimSfDw09FNe1nLRb95B2ydNDgI+KuJsb24DQ + P10R3MfMn3u0fUmr9+Cwvx/ejK2cL4m5JbtUA4MWLw1+zfCLh0Q0OQeQ+3V9wNEdGmxu66Bcc0Nu + wBdPyPy5+WC1y2AETqi52D9FQ06GW74H3knoqRlfjHhWFfkCzpmi0WAnxTGbl9GBe3KJkNR1fbz2 + 1aLJKpfqNCjSU7yodlXJ3/7CZipgsCSCavzRT86c9awZY26FtCA2Dc+VodPhxhBMJKknnKSf87m0 + 5ghkl8qi9tsW9dV4ehbMdzLDwfapxrPhWg3UT8aRCF898gdf4F1WaPAe82F+0VUD6S3vqNPoMls8 + WXJg36EDRtiY/dUSnAN4pHqBBOt5AGM5VTOwnrJBEWJbthpdW0DymU5INHWekfiecNBdBpNIF9ro + jH5MAhb3lmBDPb71pSinHlbqZ6Sh+TiW8x2dLr96Jrt7F5ZNVK8WrOTWojnFDmDeGhrQjj8pETb+ + 4E9SUVXw+biM9P7l7+V+70agLyClocGfwcJWIoCItQ699Dc5n5/TnkBxIx6p196hvx6DpoX396kl + SdCchwXf1Qbyn7uB7RsRy/p+fxNpcR8Jkt7v2u/njSjASuQEAuV0zEl2fEfgnlpvNIro4881JYbk + SQrGuiAl+lx2KYJt/wnJck4/+lry7ADFnI6kwMvHp+Oyt4Aa7z5kw65DzE6NeYOVwwVEjF07X1Pd + QUBICpe880eQLyd4gNKpiyfifPXrPPEtgWWMOmyMUqGv3gcnYDuYJyR7q6nP5TTOAHne8ac3/DEZ + /FQaVc3G7pf/+vwsOlCgC0arF4j5ym/qvWRcxoI+WW+Wv/cNb7yGsNK8z4yl4z0FdstX2FTEKJ+/ + ehgatlNhdd+CePTU7gGFxrBpko29P475KYL+oIkU1YNdvkJgNjDp0vHnFxhz6jqBljcJWDXfCKzG + 4W4BYbQ3NOCOSs4M5xmBRTN5svH3uFzsBkB4e18+WDcE1V+k5VgBvBG2WPf7aGCV5XCAPwGL7GzZ + 0+dXSiq4wxhgTJWB9a1bHSBFrzcOWr0dmLgeEKjP2wp11VR/61/SYMR6B+P9rWLro3/NMJixixF3 + E8BXz73gU95esKNqlV7BlTXg7DwMin10AvMHhryk1tcarQf+NXQNnBzYSzOipiKu+RwgNZAtYT7S + UHxF+hd/9lLsYw6jLgvzrSeWFRws9YTN1VZ1FvAog8+jliD4HvOSzNv4ItG52WLtfqrj5cxlB2Br + 6oXqhvDWe6xYe4imKETr1z+1Ku4zKL448K2HWl/P7sX6w/f75PkELG4zAu3iPVFHDDq2iINKZKto + RqzbYARryuce/PHhFw/A+PMLb3t+f/cjZfNILjxEnnPEvr755Iw5/QVuNoNChMZVh/X0fBygZK82 + xnc/Lsdz0Gp/+vdTv/bl0oZxAe679kmfyTUpx9O2W+FYOTpWtx4GbD86CYib1aCq9CjjRe7l9aeX + 0eJttXySwKyIauY9KMqTrJzvusBB5emPqBvjNF447+rBlhzuRLj5ST5fDU3649d3Zyjl02mRXvCH + F276idhqIcwDZyoe2DY+hs+y+ckBLbOfRAJhG3/1ZwqSUt3SHx6yNik0CFevwR43MDb88C0uDf7L + f8nAPijyoNOyGnHvyPHnj1WlsKbjFTtsngHFftCDd/mWf3qATQVcDHilfkQVFZdglPvHAwzuWP/q + j63D4OzhteBLajxyykhSVjxUhU1Jtbfh6/Rq9x6Y57eAFffs6utZGhSY2YqDcbNvyqVRwAyVpzsi + psrPgdnJRoNZ8+Cx5SGhnPbVwoNdRy7URfOHrWOzJnC3bykh/UnN66G6ElhqJMEOCothpWLHwfdx + s0Hc9/utInABeOechaJdVIC13FxHILGypL/8ZFIEDgF85BysF4WRs+xyeMjJhT/TjFMzf5TOjQBz + r71iiyhBuZy5KIJc/1jIcjZHtmiRr8GlFZWv39/FrVNYFuRceKOPcb8HfcioJWlu7VFDz/dgiaNn + AO/PpUNiuGVgXbxDKt9X0KDtedHB1hq8l8hX2/u0rGYJxtBdW1jGQYfDrb0OgxDUCjxX4QtbrRzH + 88J9+bZUt9/+CBj75S/bOa3QBm6reDnTKQL84CUUcdNRZ7pmXyA9Oi51B0ko1yFs9tKpO05/+Jne + X+8eenuuIdUXn6f8fOT/6FmwOxN/OT41CQQYPbABam6Yx+fAw/cnDLF9vJb+OFxzDqyX80jdz3rM + x4qLLXjhnJZa76fNfvgBVvBsqXksYLyCLl7hHuAzKbtHnn/5KYBfvMfKaT8BNpa6AU8AJNS2Zc+f + FDUhUDveFBwk0m0gm84WfvqRoqungZnTOw660/2JDTG32C5PXAmyUG3Q6FMZMOV8CX55CNXXdzLM + HFIuAB7bIz20lsnWxu4h2Fy2/B//Pdt9GYBeuxrUvpwkvckNuYJbW77i9t0/4ipmr4d0Gase39hB + HPq0bhxIjPqKPRxPfsdt1v6nx3/+uOwSwbVApdYjddzSYevZdF9w7UBP7jTb5KtwuEXwnGka2hXx + H/zKpO967N+Hnk2nB8f9+BljbgN9ek91JBeHVv3jJ3hs1xeY9Y5B3W2Kh3Vumgs8Wf6Cfnp3+Zz2 + LTz2c0uI3xgDufrHiyxOxx4rezPV5xQsLdSjR09tbwGAXmS9BdPxecd6/JaHqZOeEjg84zdGb3Vi + Xz9VwHT1Q7T5+gNWiG9HJpAraQi5+8DO5ouHhZ+t5NS6DHz9YQUr8wCxORZxPNeO2MBvPoZ93WDx + WO79AB5Mw6Babxv5x7wnHtydXuyXn5bzErYH8NVzX36acuqZDoE3RYrIx5Z7fd7e3AT2O4tD8r7m + 9Pnr12UlLULUml4X02NzzaDwCI9I1LDub8+0PkigDe9EysQ7YKAeC+jL/YvMLBbATObIk2yBRt8U + TyuFWHhdQB/LGg6Ot0VfHuXS/MmbJCxbYP7lP9bmOmP92L70ZThVBAY8p1Hb+FQ6+YQrD4tu2eKA + 39rlQtokBUZqAfKqzi+d7a/GH/9IlfFp5uxWzQH0PllLeJm34mVPDwcY71ONepN9AmyGXrM/SbsB + Cd/+IhbCAhz2Zkudd8/lrE+HBJzOlFLbHimbedt4gGx79XFQpNuY6OWhl9x1JGjnpC5jw+faA+Ok + R9Rmuzpmu/d7D4gYx+RPPjoghH5+Ge0dkfrshxf6MVeR+OxHn9WEW2GZHCKajUI+/MmL4nrMqeW7 + fbnWB8WCWu469GYc12F+D8MN0NsV4+CjYH/t7bMGAyZdEeS3n4H+8OLTajWRI8nLRTL2eyDFKvry + ZZYv/UMV4EdsSmqMkqYLalSk0nOMM1RFfh3Pdi4Ev/dJ7biUwMzivQOL2ZqI0O3tfIoCO/35beod + Pi+2WoJyAHNMFuz6auEzh88SqA3dnWJuc9Nn6UwEcL1/ErQbTCvePnv3AYK7GZDtdP/kK763e5jv + NuyXH7P12CstsJ4bAztFvcYzGIcRqG7vktRnVbwcUFLBs3gjqPe3arlT6JlA6/3WcdA/snIO9GKW + CacF1PnW72w0bSVx+StDovzgwbwrjkhS4n1Dnf52zzu2Eh7uOemDWH/F+dfiEBg5XYqDdDYG4mqt + 9YcvdTppjG3CowUHiWJq36UP+ObJFvzqceorB5X98mbw0q0PGbhqk3fWoBUQ2NRBu7iUGK2DgyAX + F7z75ZlD9zybexhaL4Uap4tQ9q7WGlBgcPvdT81fHLDn4XTypl+eVs78aXnAl/JUaMjxdfnd7xQq + 7BShFipg+D5fACnVBLRR1IpRIY8UqApyidW2G/TZFg8BrGp2RPXHknKm0PMIireT4ujrn+fOqVvo + BrKHA03m2MhnjgJ2xXlP1Zw2Azl4UwL3G3jAKpI/5U9Pgm8/Y1/LxGFR7bECw33vffPHZ8mLL5+D + no51wr3hm80qbGY4HosbNVOBgh2uLhbc7T4WEta+iVe52EHYs5xge6CKTk1EHZB9XneqGPq2HPXw + 7oHv+6BBqB8H9mpXHnznQVi9OU3OnpObScf0o5Nr6ZyH7bG83mCVvTxqRL4ZLzgaHPAsqoie3OGY + z788qz2dN9TrLgedyEsFYfOaDLIsuefPVHUKaMX9CbUZ+cR9n0UVrB0xpK7rS/5KMtSLF+l+wUqZ + NMNyHh7f/fRSHGTo4I9MgQ3sZH+LVstI/HX/1hp4xaTBKo9zsPZZ1MAi/1bINx8b80PRy59WqRH9 + 6j32zQeAJPIZgoulMjYusyVb03alCv/pv/xylqAWBAvh2qcYU1fqA3gJjBO2T28nn4dTeAHf/ydt + akzlEJ73Kcj0dI+tVtvk46uOKyg+M/jVF7ec0a1EoJojm6pb3i3ZzrAleDR1kyr2mvuLs0QZNJmn + UP87L2D6832Rk4twxtoF1mykH1kBk5hE9DEV0TDkj1ciH8KpxP7KkWEt5EMmQ1pwZN6NaTxXoeLB + KXpbWKnOL581jhbJIO2eVGc3ZxDsRRxhKwf8Hz3DX5zrA7ZXFaPD9mjkS85ZKSimu0lV61aw8ZHU + EVQHckOS18U5s5+nxx995ejCtlx2fnOB11IKSBTjqFw7FTuASrGM2GuEOeE3tQS+8xxUffOEP3mP + dYt5GojI/vKlmkKKijcCuhHHLAyPksyq/Q0b5rXJf/sLtdx3ENzLAVg5qF9kMOwnVBk0KHfzMnp/ + 8Pf3fDdFmh7wVy92oU36735wfZKAgH32KReUKxE4uTsVcd95BnM6IEHznt2oZ56ejETvoYA3t1yw + 5bMqHz6XfQUUg8PULrRQ38Z0QXArj5BInjQNjEdS9MuTsaYftHx6HARFgvwakp5TJf/HZ/Dwcc7Y + e0Zy/F/zIjcRMf7iyXhLpZd0g8P000f6n/737b2M3a8+H68LjkD67vdoJS+dLcG42f/qEVWFtx3G + KLtr4OefdFXeDMOXDwEcxTOS4nzNx2g6NDAPI4X6p7IuR2/lM6jjrYbxq3vq7GBxBtQLuKGeFPH5 + 7Knvh2z0h9fPL7AJpSKB81wK1Ji7D1uRKEC4eToD1nx7itfu8XZkTswdtEehNvCZl81QKC67bz48 + DpPnXHr4y38eFvTYuA1vye9+WNGvYBg99X0DaXiPqP4abzGzykr7zbfwaSLv8oOrgwWbBV+xwn+8 + oW5g7YF7lB9p4NaNPz+fOgG/96U+Ik4nntFdZGWmA/mKU7BqlzWA37wHe9+87TvvmmFVL0esfedL + 88eTpN98CJH+9I67t/AO5N3HWug3fx5YuRE1uD/deYqkZCm//lGD7ka/ExjqSznvfdv46RtCnpOk + j/e7l4EeTYzsAurGQqm3KQiTCyFcCoC/hlriQGmHGKpUxQLb2vRSuLGPAlbPqa2vkA49CFTeovnb + FfJx4ZMZUl+SaCiLS7mMod3ATr1k9PGcMn8Cj1QD3/6hpnGWGW10QODfv1MB//mvv/76H78TBk17 + f9TfgwHTY5n+/X+OCvw7u2f/5nnh31T4cxKBjNnr8fc//3UI4e9uaJtu+p9TWz0+49///LUV/xw3 + +Htqp6z+f6//6/tv//mv/wUAAP//AwDUSaWO4yAAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f90ed4c1c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:05 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '17' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 157c938fa4783b7fb76050cdbef6719a + status: + code: 200 + message: OK +- request: + body: '{"input": "Sample text", "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '88' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaSRO6SrPm9++nOHG29BsiIpWcHZPIZJUCTh0dHYDKoIgMVUDduN/9hv47bndv + XCBaDJn5PPnL+o9//fXX301a3bPh73/++vtV9sPf/+N77JYMyd///PU///XXX3/99R+/z//vzHud + 3m+38p3/Tv99Wb5v9+nvf/4S//vI/z3pn7/+fhxQQ5f9tOX0qO3E9aw2R+ZtizCd+/UiA3f6bJl3 + 79eISdt7CPLqumDYFCLOiyAM1Dk/qGzXU9OfUfEBpD9ii2xaLEWzt11paw/OLnFkZZ323SLz0F19 + +oyc1dDvlTJyQGV5iadseqfTGUs97EiyYxp7yaivdiIFQzhWJOgeFI0b9RKCS2+c7VRXS7mhag7g + 4/Xxvb4rmlBzcNQw6Y7MC/R11KsrTwM5u56Is5zP3QRBYsCHHnJmLRvLHNQxFNF9gQKq+t7NnPLn + QwPjdTwRvbUMNJtTEKJ0yE0WKB6p2tdknUBfuQlxm1Nncml736Ouk/ZsNwt1Wp8SpUZeLS3pAIfS + p5K1TiCYlS3b3oVX15kbXYaLux0xd3gXTd/1wWhWhCJrufdHZ65lxIbnjujYrrspmm0LVGU1YVl5 + 9RF9F8oFgl1/YWcBCkTlGe+BWXJNNutpmX5CvNnDnac28Ya26cZNXAnweFmIGO/bh0+3G+uR+TZ9 + 4u6Wt3Re4U0GLhIDCizZRNLSNmd4HfCR6Wf/1r0v1jpD2q0lDEvlNqXTk7WgpEJBbPuhVXwfHQRQ + XMEmui9V5jhaaw+uUpuTTeULPmNCZ8P+HXVYRfedOR7nxUVZH8IHMy+nNp3fnX1HcpaeqKK0kjlr + kR6r/dVXqHq5kIgzobJg8sKOOct51Y1d4ggg6KVA1btpRGIlfTRwkRQQ61Ta5ugF7gmg7RJiGwfw + f/EHuzaRmL+m+3R6J6UGpbJQiXe2Dil/Zcca3mBRQgIj5fydmgF6tbhk/skszfmqfgw4p7NNNDl6 + pux3Pbc+ALxqa+zTb7xDdCr3WO0QNmfIpDv0t3LD3Lf0NCdFWwUweEtGAv10QRMk1ydkyWogu7PW + mlwSDA8EbFp4zI6NP8ZYqKEki5gQ5qy78bquexC97socPXhFfJKHAISk8omeXkt/croFhSFaqcy7 + b91qKhbmCNvFPSYESRYad/pZgKyttpRW1oR6iPQArtVjR5dlvePTetVZkCXLgbiLOkWjtuKnxSjO + Z0ZevhV9yqtcw/DsCTm8JCGac9WxYLs8EKwMrdPNkjVd0DrfvNnWlLfVOJ9sBYXJ5/irB+bcbHj4 + Z/2Vn49mf3+Pxi9+sWKA4c+VdophFStvZpnWWM1quNeALF8SnpA1pl2RXGd4BGlE14I7RNN601Kw + Xrstc0dp4oOYKDnytm5Kzmc0RKyZgjuSWC8z95zafPzdb5O898wXTTXtc7bu0S0KGNPl4mHSnGk5 + cEd9Et3Kb+btRbZYyXhxJNjXe7+1/MmG9+taEuK1UtdFkpZA7r0JXrK1G4luo91VKE5vLKFLzvmc + URvVT+VFtoF8TLm1MkLYnuYBI6nGFSfqvlU2VWoSYniMjyUnCuj6oie7Kt1Gk+PvDbVdPloW2PTG + 54/VyNDuQCHmcKDp9Fh5NkiAF8RLnxdzfqypgErzgRn21146r6T1CPCUcuY2J98XC0Is1EptiU+X + sDKnQyiP8JGzmmx3vpnyx7yY0ZEPHV0nVVN9rtY+hOTlG7/7N0e7OHgwstAg33yNps/YhdAdPj5x + D2PEx439vKBrxDkdP8djNd4XfgN2E/rMDvtrylajUUOz3s5UHJcsnZdUtuEtpIxZ9eZlvrMYROVX + n+wmCVOGxy6DDxkFopmPIfok0+Ag0ZIexGzu6+qzkQobvusxTbzsUN9Ehxa25ithbqydI5ax4qka + lXFknhNvo1nbuLOyVAqPWC7xusllFxGq5HNmhqwK6XybXnvQuPNkNr+16Rt3C0DGokwZng2tk771 + TklP4ops2sJKxzfbz6oRdJTKVzFN536sLnC1hA5z5Cb+PC2yBGHP3jPDgizli6gt4ff74Oym5ni9 + vWuoi0uPF69R7GgcyopSK5c182aPRFMgaQ6MOmqZdmL3lCuabcDZqTldniWz46rfiMjuZouRy23t + 84e1L2ExJYzYxTnxx+e0zOHD7hdC9HCqvvmmqW+5XpLtoWvNb3xpoO2EJfG44qN51GpJYXoyEOe0 + eHedL31O8MmiDTGzg4Y+V2nfwDHAiC7uQxZNk202oDzuCV54rVSN7+IawLNYFsRgmzCdqTzYKMkc + kR3edcJ7UW0kKDZRiNeLOuVzEpUxpK3mseQai4jzT7QHz+tijIquraaV2gjwPB4TvIguBWKb+T6i + Z3AOsKzFW7NvJceCtT97LFDDQ8rZ2OUor+eRGENj8uVn7PZK2TtL9r0/PgvSXoI82X8IWdZFxdxI + keFe2Bviu82Tj8HtbP+p/+mr1k06B3oL5dI3CdGGIuLH0hDAUZs9CVpDi6hSQgzVILbEu2Snjr4q + a4SjoUt01yFqMtVvJDgHVo8fXz2Zzpu2RVF29LCgnlNzEqWpQZc6c8nBRH31q6fK47Bu6Huvnc3v + 8xLhKCoV8/DTq+Z01XlgHsoVM943F3GiXlpQi9UTD09txWcplAXFpQ9O7G9+s6NgWNBsryq9oJtX + 8eUiK1Eu3T22ueEGzfntLQKOrDvZ1ZVr1smmHJErxxFL1N224vXKi9e2OIZMX6xeJjvT0YP9U2jp + 7XIh6Zhu9CfUd3IhW0cV0AeCUIOVWOvM6RS/Gyl5PNGquFCys5Q16s/BVYKpzgJy0YNXOkZRaQNy + PAOvx4Ne0UU1zGiTDRJxc1p2eV/dDHROR5vKNzbxkcdiDrtBZiyYydXs4uNthLCIS6K3oJtTcHor + sDHZh4p1e4ymYyk6KrmNOcmu78ps3Ma5o7eNNPwxcgPNN+kyQ0daxoI8k3i/ei4UtAiIhmuHPf0h + CmYZdjojGL75Oh+1jQTDJXCYfXoTxNVYVCAh7cC2irszRz1sHEjutyUx7qpp9jT2LRje5p5h7A6o + HeJ+D/daWdD8GDI0liuewG1HE7JJq2XVD6MXQCAlGl7tRl5NXnSgkB0NTtfWaEcsTvTwF1/Efg55 + NHXFIYa2dVKyOUtVRy8lhMjpuUDLoan4qO+gBVmuV2x7rfOqdqQCw0pJ0C+e03HMrBH5Yu8TrJ6R + P1TFvIe19w5/eor4ProK6GgnOjOKXd3Rnx+cY4EyK3uk3Wz5axtOJ0Wg0rB7+zNinxK5L1/Do7hZ + oFaf7y0KXgUlX79bzWLpyWgfHAxaLHs/nX9+eB29c7z81tM2LA0J6KNf/fFHIw7lFnzBEMjmRUlF + v/q3bneCgsfrro7G7/NCgcx0inbHE+Ky7SuwOVgGnloo/B5bk4VuPQaGn9nKZG2Ha/QOBoUFu+CF + Jna8PZG6K7cYxEdWjftEOSmBjkO2g0NpzkbqG+jb32ClNHKz9cYqRqdF/aL0GNjmsEtcAwVL4uCV + PaCobDZoD+4i3mAlfco+960cwNyeJ2aK6xOfWTYA1I9kT5VrLPJJujYeGLdcY7sxXZrthq0VcB9N + x/StSaM//vYbD0xXHpq/mjfJHViVOnR+LItodqclRd3Kf1BJbZ7pfA64hrS6uRH/sN+lM8teAjiL + xYEZ8070f/0PEm9iz9yF3lVjJRWGEsd98PU/C59a6vqukMM+Yb63W/ozbEoRBiWocP5Wx2g8SZcc + KS7Y5Ka6efqxUjFGm51MSeBcJ5+aC1+Sz0rYYCXQ1+nIZF9BMVQFrr963i+j0oH9YToTM5KqlBfJ + dVQSFm/JL5+5gndPlOv7jM5BaHS0H6sEROd0wYCtpz+/rnIPvrPcM/tAPPS5rCpN/bhgEQ2Tczf3 + QilAPNArMY/8guZJ0k5wVIYbM1+nM+LXRKFATTxRsQjH9Ou3HUD2wvujj/NRmnpwnKxk+sOOTS6o + nwA5EZ/wtx77tEtKT0m5diHWZ2ejPs4kD3Bk38k2rJz0218Y8BaujG2mA63+rDc4OSVua7+78W0/ + 72DYkkin/cnzp/OmbFRizRFeXzsv+v6/A/ebMtGbO+BuGkcjhmbcvpgl5WU61utFAPvpPhGLX/KO + WfgI4GbOTLRjyDhHM74gyi4Hdrmce95T28xh73AX5+WrS3kbKQIq9OnK4mqpV8uwUQyU9kcfv6zo + ieaiPRooLE4lM67h3uRtNAs/fSW2v9pUEySHWhkUXFGGqhPnm51fo+n1VqhYerQqxdKQ1cV0YczP + tHM1StrKUj7yvcbrZJ90E7fWe/RmzzcLXqSr5jnRsZqIUsYcWBLEBVntQWmyhphJPVQsTtzwF29M + P1Lms9HfxyghzUBs922kM4sOCjDFjqkCx0/aYkxPwJF0YFox7HxufTyqmJfAZDcuWZ20SA69Yir4 + TiykfcxJ6FiMdjmZ2La03xH3wjxXB5VmzMOHrJr3i/iEZn7b0z4FguajtO6BB48bXXBEo8Etrvs/ + /OHnb6eketWQiXTH9FQIo2//NSuRcH5RSXr1PttHB/jpA0b6gCOux6kES8E0iRWc+7S/7fwQxQ7e + 4A+79x2nQUlBvEk9Hoth8IftVpDRT088U8zTicSmB/tHdvz64WvV353HrHjeJ2aYPYhPfXVfwswf + ezxLjldNUTLf4WE/r3j5PBQmP8V+8vPP9O3ne5M5TDGUIKtyRq7Hc0T58UZhbjydeaWR++PlOMgw + qH1G/Fdd+HO4vduw9l4hzVc5SaXHuhZgKegm81bLMhrkqN2DLc4h2Rmb2h/1FAI4Nesr07Fg8bmV + PiHEVREzXLyrdEgWPUXaaWHi9ut3vvF/gtpQPBYIqhWt5oxaaCzeFlXbPTLncH3KYHOSgUJr5OkQ + PXGOVNcHupguqjmE2q5HXSiazF3UCE1Y0EXIZe7TcVpm6RQLfI9wsa6JJyYhn5G8fELrOBq7h2B0 + k4cpRtfCC5jdLQs+XaVLo9wmdmA6qZYmFyXnjvgi9uiLrd10Nhe+CJacJMx7sdnsvjwM8DF9ML9P + RTRoV7n8o/9irZrpEm9vAnJN78Usro5ozDsbr/3N+YyXi6yJRtEWBXA978w2eJ/4XBPCHNhN5sR8 + TtuO02mpwPq8ubLt8ZKZUyygPUyvl8Lw1j52vJmCDF5RcSLe8V0ivhqNp2rfrx2h83uPxtXuuf/F + MzFI8jSbTbd6Kt/4JYHtDl0f+k2iCFDVv/6+4o9P1QNxwgDHl9ntaGT7PZwPb52+xXviz4pa2GpT + 7G9fv7ND4k4/g3KYFpROe5Skwyi4Cho22pKYAdXRJGqbGSkHnuEJ23U1oV1/gSc9v+l6ZR99vvXX + AQSs58QX8MrnH3VqQH9KV2Jq2qkayzAPVGmrH4ivfmr+px5MbFww+/2+pdwp5jsC5SRi9fxSImZu + XAVW4lNnzp49o2HFiuTXL9HPt98d7XYI4IV1nWhSM/kdOwojBEnwwFyLnt0oaHcHyaz+0PWXN0zV + eqPA1y+SH59kU3F9wpvVb7Y7y006xqtWQacGXSnf1fmXLzg5Ogd2z2yHWSajQUv/vF/3W/9nWlwz + 9Kr7D/EzbVXxp5xRuOrZ/OV/dvV9vyG4L1djDmWLlA871ULf/o6K/KJ102uFcjTNQsQ2926VfvnZ + CZ5LTWSmFj2rUbfyGh5NLdLV+95H8ze/0aa1CPOvfoV46uej+g6YguXd26i4vfAFtJ+yic5npeXU + UqcMXnvzRoU0c9N5mcul0lz2BA/yqavo/Vh7cE3uCyrPm1fF01JM4MuTmRYZQcTENOqRMwgSXXBz + 9IfmKJUwzRD9eJ0/C9blDq+oOtGZLOJ0PC2eT/jxW+fLOwdtChykN3FIfDs3/eZdHDBM2bvHy5iW + 5seymh75l7xlut650Xx2tjn68g06DcGz6ne2f0ff+MGLoev8aZ1JMZyCQWZbzyw62q9Xd5BmU2Ha + xtO6KSsjDBZLAjyWry6auuwl/akPty9vXgm2GqNQkiQ81NXHHyvpYyD5gm5EOy8Lf8R45yhKyz8/ + vobW9U4UUVxVMc2uV6Fjr40OyD3eamZ95pXJ0Wwnyv2QdDh/3D7V/C7mRPn6iy/P+3TTZ704KeLW + z3GhxhHni1bwQPqY/c9PmFOrXjJYTbZDTGLibs7mVQP2+bpmfnwh5iikhgKL1e6Dl1Zk8RUbqxx1 + gSd9/bLu81y6KGvzkK+YoQwK6otIeaJy10bfrqE3J54FinKe9inTs+kd8eJI92A0S0IiEHfRIHTs + hOyjLVNh3X7MXpb2T1ATA9NFo13MaZYtA/xL2ZLtopj96SZnmQKpFFIxIbI5FJMVQHg5xfR7/90I + hTYCGNKGbA61lrLDKplBrbSMBPgTR+ySbWyQkuDJvBvxU16OqQaw8W26bItn1OtSDnBiyGd+cYGK + IlaUaGu+k2+8GP7cl5Wkiv1HJB4c3XRqKsFGenMKmbHeB9EyFngIi1DZkc0+V6vmlnoiKM6EmVvU + OaJiaShQEjWmX/5rrtjYlWg9zC9G5PSYTo79zKF1PI3g4yRFtN5uGhAVbUelL49+1amYgHA2Qxbs + ppM/34Uwg5OXrEjgi3k1dfIT4HlZRViW2iOfb8m1kQsDDizSIqvj5zZoAEW3A0ZUqM3erFQZzI02 + Mse9Cv4spL2FuN1UVKo9zFf79lUDOO0CV5oc89l8jwHcgqL80w9J33yGXnMHolmhES1nOTBQBd1M + gpeYov72vMtwbt8YS/tzUA3Fwp8V11EfzKU1TafiLXt/+KkzbzbVkEwvD912fcKCRRl3Y4ZvDXzr + J9NtfzRpigVx/Z0PMPfrd/rb8yRDVq0Q804BN3/6DEpw2P7mDRHfCZWBDvZiQ5wbO6DvPMQG/mhG + LPMy9ld6975Ds97MWNTfhj8Nz3eOBHO5IJ46r/igXcdSvXlBQeUqeaJpO1YYfnp0fZgspXPiYgg3 + vs6273sQ8d//IXBkZmms4jNkQgbd4+SSHRwMvyuF8AmSlGzYH9611QlFGxmdmVbnBeeGne1/+oeF + /XVKeSQ5ifLVa+JLNe4GxdrHMBxKIFiTwnTA2xtAkQp39uO/9MvL1VCVGrZlV4PzTep7yBJIzLRg + /vi/+gzr9UZkztZVqmGdCTEcDVOi9zje8kZboZNSDVLL9Nrto2FRaLL69UvsNx+av/05qK/zDa/D + Zjb773xAAVUasJKubL8fRgOrf3i+Qm+pFMuBBeS8jbHcGUM6m9exRX5mVHQBJx/99BYEn5rMRwKv + mPUxKETmScX8ZNuIm9mxhF9+7HBuRmNQGk/o8G2FV7bjm7zPcwdOrX0g2LxWHT/dztkf/hGXHu74 + I3064OAoYx43hmr2/YunWJdBY0TlSTRFM7bBKmWbff0F59vjJgTncB+/fjH151qdcjXOzZQqX386 + 4dEL0XN1XLLtODXm0KqXO3x51Z/45M7atiGHyGK7r3/gVZzKyJcD6+sPDl++sLZBsbMdu74ryR+k + Ec0gm6mLFxzhdN6GzUU51M2D6Xe85OP6+AKUdCJmG+XDK/qbJ3z1GSu2VaHx1695e/dDe7+YO26f + zi38eJ05HHD0my+Ct/c/xI4BeOeteI9eN5oSN7hgNIgzdmClDzHZqXSsxlngGMhiRpjXWDKnhRzn + kPHqyCx28/xhKr0ZnH4SyK6nlf/jO8qPJ6722sp8ZWUa/Pg3FcbQ8r+8sYF6Q3xiuJ7Gl9m6FqGM + nAbf0+wTfQ6hPP/h/Xp6NfwxjXRPPWS3Kzu1alXNxumRQ+WLhO2u+103ffUc8tdbJtqJCSnXxgRA + 9uwjMzNp8vv+eLvDnkY3srWHNGXf+FdWwIB4zvrcDb/+7TtPwHOwCvk8alSCr54Qe9htzVFknxAd + wOG0+c6bqa9eSvjOO/H64JvdlD/PBjotni+yDz3sT4vCkVWbbjd0gaQnmsXuLqBvvaNLrnfmJDaz + Ba58ioib5Xd/1leGAy1bHIknDhpnT6Y16Mt3mKnJIprspBBA2usPpr9rhX/9dvhnXmxZ2ZGP1zjN + kcMfPjF/7+fEPif05V94yes0+vlHUJXlRIfzS0n5Vp2eIJ+eGbMeSufzbsVnWDSXgthKbnTsaccn + +PXTPtFcTnebMIThgh2qWsqa82fh2kBL2WdBYy1SWmn3WJnV9siM+8ZC002O7/D3b1fAf/7rr7/+ + 12+HQd3c7q/vxoDhPg3//u+tAv9Obsm/RVH6N5P+7ESgfZLf//7n/2xC+PvTNfVn+N9D87y/+7// + +Uv6s9vg76EZktf/c/hf37X+81//BQAA//8DAD4Xe6XhIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f921e231c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:05 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '112' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - e6fbdd05f0df6797306b451386c21076 + status: + code: 200 + message: OK +- request: + body: '{"input": "Grocery list: - Pancake mix", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '104' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R62w+6zLLl+/4rvnyvzI6ISBf7jZvIRbsVvOBkMhFEBUSu3UCfnP99gr+dM+e8 + mIhEuqmqVWut6v/4x19//V3FeZr0f//rr78/Wdf//b/ma497f//7X3/973/89ddff/3H7/N/3JmW + cfp4ZN/X7/bfj9n3kY5//+sv8b+u/P+b/vXX30a2TMmuuL7N7zW+RuA/qUSVUsL+KO+NCgzzTqlc + n+N4sIVHgMrl7s0scyhz3jTaTpXWkcduVmHx6dyEjdI+vC8x0gzlY8zWBcpd38ZCCpPPB3dDoYnv + Mh3tdDDZMWE2SvBhZOQjirx7OIUHrxLLzNbrlz+9vuIB8sOrICcwPv74rKoAtGPcYGl9wS1b6nBH + NDV9WsgU+IS2wQmOSfxi+zw/8YR5QgfqW30R+8ND3vrseAFo3YAY+qqPm+e+mpSP+qVMaxOC2NT1 + DpRE7ol32Iltv4rvMtKd/YpthOxtdnLlOXBeHB06vr4s7sqkbVDmDxoxjfdk8tNSK9XgLdR4uYgN + c7xkowFRkV2YfaUuGkX6TYGk46ZX6zHgfNwdNPics4R4+82y7cVxPcBZPH/xYkX1cFomSIHFORXw + mhaMT265jiA8xjc6NeUBrUyWdyopvZy4/JSgXrltFDjHT0b00fT9ai+7AYi9IWLRFax8lRJ9gJWd + I4pa+RZzSL0XrILAYP7B03OpuL8v8JHzA/NKCZu9TXwZ/M6ZmLNr9v6wM0kAi9f9RYea64iem7iB + 9N5s8UXzWVik2aKB6hJrZLcjl7z/Pl0B8DHSGMkFNe6EKNtBc7ncmUXPetvU4cFQe2u9wPL5rpgD + XDsZ+rxRaMZ8Le8acujgTsuOuR8xQ2y4VwEaQt2i6znfxEXaigDaqGNBPFshc05ahp7+90gsXcfx + IC4fFtpWTKHFe/1B0yUxI7SuhhM5INlvpxfYHvjO9cZMhx3ModGdBCoF3+h6a3PeHfaHDDaDL9C6 + thdmz/H9BLJwNyh93U1z+GxIsj4nh9MvfjnNVTNFdVG2xCefY15Zr1UKUidgorvqMudrh19QtBlj + skE44jy5RndYhEKBp75nvEvxZ0C33aci7tlXEd+jpICrGOrE/Hy/+SQpR4rCnEYMh6OK6OZCX2iO + PzNK3IR9bo4eWHF8J7r6LHl3UYdMdXkp4XVwrHx2dzxReXxOJ4ZTmMz2aSMHgk726KLI+7iTrIwu + sKJ2zLqG77ByR+OighHGeCg7g4vn171TbvtoT4h3p37321+wLa5snwV9OFBLtVC2qjriyscwHPdj + 2MDxejWIfVqM7bCNuacoz/JNXw/WtZypRgTxKEl03ezqkH1rQ4Yh2mTE+mgFHzeifAJtcD546INv + OJqfZkKHw2tJou+pbNnioyfo9nm+iIYLORzATZpffpFN7TJzTBCIAEVxZycZ2f5QteMOvqXb4skS + dvEw7xc9H9uWaH6T5fP/D5C4u5BdbsU77E7V+wRv+n5iOT4cQ36oHA3Wy92BOCBLZhfc4mF1xYs9 + /kipz4esFkplees2xGXLa7zc2mqgnKvuwMJF9PK7hXcU4Ko4Fts8Njc+rwerl+Co0nWYkXZ4GFkG + UDcy0S+6x8XFtOzg0AkD0WhOUaPerjvYDK7ArPf6w7m+sw4Afpex/SV+x7Tx9Ui1X7eQiolJWxp2 + VQPbwDew3PDO7/rm/QKzrlvi1JmVU/mxxsBvUzvfj9tpJwsBmMV3T7b5ZZ2P6+aVqrER2WyrPiM+ + KP67At0hK0Ie1pfTq3RRYCktJcwnsMJVoOxkyIB5zPZue3P87r93tOikmLln7dW2Rt1YCkzZwMj5 + k8VUXZgNwnEG9HtzYjSo5BKgxVtWyEZvQ3MSQyagOb/oc1d15uQwxwCvuZnMlY88pOIiNWB0Tis8 + bDcBGuUljVBy73rMHTb436RtDrDtrZzsk+Tij86Un9QBKYg5F7lBU3C2UsiJ4WJpG2Cfl6vYQ9bh + uabqZkrCpn/YAbjm+c1IcyvyYdwoEYTK8YBh/xL8DtejBidJeBNbTyTec0W7w7TRHLa7wQ1Rl5wx + 3JfgkcAmfH5/dQPB/eOzbZ5nvBLdr/GrX4KNY84n238VYJ2kjBkfyeQc3KFRneZZ03fXFvk0xxfc + Q2GQiOwSf2TxJ4DEWjVYEhZJzrD1KtHJHxtCKhSi4aIOL/WYDwKu28eAhuQCEdobt4Ho6OigMRBO + GO7DdkvsItuFw0q6R7DKp4Rt5v7FI1nFwMzLgmaHZRT2YzOJSP+kEdOsi5KP+zGulCoJTLoQTh80 + KfqhU99LWWVH9WnzoRf4HczQ4sQeV645bT9gozLvtiwuBBPx1SeUIP/KOnPiasW/7XssofYppx8D + lPYlRWIB6vqiYvnkTnmfvOsT1FCreGWEFlolC9GBnL8jYrlCkU8VQpPi31acmUpco8FZHwDFqaiz + zVyffLHvD0BDhTD9fhvD4Y1uHtoMQk724SkLZ37SIf9NjsSzzk4+9iiy/uDvtjcfPt9mh0Gd6vxC + ttT9hnybRQOQlG+ocnM9PgXEkFTDWjtEf7yGeLyqVgYzfyDaG0/m+zAdALxhAQQn+xufVp2e/N4n + li7Vs6XMHGx4NPeJeUBeYR9K+xIGSXwwd7PcxdyoMxsc/TOxTTOpfg0nt4R8fY9pMfdTbj9xgp6B + wLC6t612eF7XFG2XQkwXbdP5023TvYDl5Yl4tdr7/PXGFSyM1KOSnlz4eCycDrrd90o/nIXhsKPq + CRz9O2Fla734OF4qAezVNLCtEVp8kifTQst94BJyG54tOxphAW7VnmgWm5LPuWcaKNiWVxrS6ykf + gT5s1A6CTldb88i7p/bIkPUOUuI+S4t3V/Y6QIE8jypP7xlOt/FeoM+2tBkJr1Y81I8XANmsMdGv + QRBz4xxhuMaxS1+hW5kcplOkTo/NnWDhIiNGn0UByo2lWHi3Xj4eA+qBftMS2uSMmN2OLi/AFvuG + eJJuhKN5PCig7tMjs/unkXdmF91BFKOA3QzaxxPn9wEuqWay3biKTR5n6QmdPsmWGYt7aI6WqVXq + 973dz/spON9CdwCR5phYecZRJ1kNBVmIDOYH3ZA3LNIF6FLlwpxvt/eHTA9EZNwHn0SLLw25oSJB + uX5Xmz/40HmZYkN5vDn0edqO+WREKIPlYyFQiMKWT/fVCcP1cmrZzF9z3hv2AM36jJk3KXk8BkKy + Q+6TJ3hofCfkz6newQ+fvc/HbqVTeohQiyyV7W/nq8+O1G3Q16aISkYvxMPh3fwb3+Z+G0/ZyhWh + 1xqbGfXZjZdPacgAi5GI1Xqc+OjvYQf3OsMYrujjjx6vKnnWCwRvlRGxMtcDYF8nIlotLHxuveMU + hLH94Ka3dubKjLYZ9EmY0Gk9bsxpkK82aHlX/+FD43fPIoXvT4xsVOsQVkuhNkBUFh6GcYV8yrTP + hPKlOdHluTzF0wKEBn0lOLBkR6R2jm8EblWfKHaHOu6Puy5DbfHa0FrYNvlAmFIBtVuKByZewvHT + bGWEyVYjFitdk/vXpYe0wfsw/92gdmBY19AqkhRG6Nia06kINDCOV4tt88stH1pzNfzhA/H1qMVj + LR49KI+xQ3USl+FobRbCD3+owkrkTzh5TEoUkCuzw0sejthnGOU8j5hGlk/UmTW2FP9eRWxP3XXY + +eqm/MNnMSm1fDi/AvrD05k/G3z5ap8FuPdOoOWsRzp39E5ozc47uhQy3Zdwcp7ADtUrVr8IhX0e + mZr6uRcKubmnkTP2oTsk5PPulOiL+vZUXpCruJTWyWrXjg3uKHiaNrHt/sj40LKPiKIBAuKZQ5T3 + 8rK8o9f+qmFJrzWzP/eCAMtVE1OPnnnLd8sAkPt1FDzrOdSBGWuwDVyDyobltMPHiBxYpkNOXKX6 + mNy5LCS0/FwTYlI2x7uLRQgOCSG7oeQtPY6FAHnnKszc4WXb6ivlAoqarWjwfY6c13KU/Pgd2dfj + hFr7aaewdwJOsMZDf+Q4OMHGbxhxt+k9Hhl301+/ZLbrbFrxeZRt6AdbIj88rtabl6GKX7iQR+FY + aDKsd6P6J36my2Z6+OOwNi310roiHrVK5oP1WiVQXg8+zlaobydaBjsoHqimlXpI8mIpvDWY84Wc + +XXHqa1sBOi2rzVGcfLIC/s8ZshS6Y1tA+XBuSs+KsSek4J/+NoLq7cmn26az3b83HKeqsxB66vK + yOYbrlqWjLkCAkFLpk+nKR/E3XgB+V7W/+bfa2E6gYuPBjGLi+ZzFGkKnC1lRbTGd2K6Ji+Ah54h + 2pK9b0plENAfntAJ2jvqH+HRQvN+iNPwzuSO0QPM/Rmv6uKas3MpX8D7nD7kPilmzMXikoHhqiWW + p2DMqVuu7/AI9TNWq1cb07RxA/CnvmW6tsz8wcMVhjn+bHdFG39lWxPApLVPpkXHGI1zPUPcPCP8 + CkwVjYursEOrz0GiwnVj+6xchR7EqZ6wH98dTC27oGwqMOVv8va5Uh49qI6XDMPLW6Huqn1lGPSs + oSq3Sbuk9TJDRhJ86EBzyutu2nlgqd2NuFlv8jF9JiekNC/z1+8RS+6EAk+X7g9/49UlqiwQl0qH + hwfbtY0X1R6Eg3OiK8DHsO9zLqNKPF+wfP6aocT5fUKm3ayIdSpqc2xP5QksJyqZW1wmk4lIoWju + j3jZTKrZvEcNQ7jcTXSNtDbnydjKaNZfZH/nX8QVDAI8ijdjrlUUaDh4NoZIMgZGOiNAg4dfO3XR + XnRizPEconRDoTqeMrw8l2I4w2IDtnPRyHZzzzmnfkDhUeSMirnXx0OZ5JXKBu3A5vpvK+2q78CJ + FgTbQ/nOJ8zX8ONjWOaDEf/0m1KzbMccjb/NWS86sHyoAvHfq4KPsixTJMmfD9HxGfxxv/kUIAlp + xTa7OjUZkaLgz350W7rkg+c/ZOWXT5K82fpj6hsp+pzYCguvqW4nAd8O8JXThrnDfRsO4edpIFUM + nsy91DRnt0tsg4fQY+abBe+pfpxAPTxtKl1pzWd+UUJdFC3bSUmDeiTl3Q8vmCYsvHYSwy8oLg4N + Ks71RAV8DNCEpDMdbenS8psgiEgLdoRsTNdEbI6HogpxTF9+k7WzX5Qo9k1fEnOCIubnnBogHbKQ + /fKLSVvB+OlNFlxa0v7pb+DTjNlJq8US7GMBvWAcSL9cVn5vnzcv+Dr7M7nclxVntXxIAPXDjhDh + tEHDse8b9MNjXr3V8HMsHAqFNL6pKKPSp2aqOtCVak0nZ9P+0c+qN05v2tOL0YptHAMotz7Fa34C + VF27h4Cc5lETH588c9IJK5EWYEJ222cdsuhwTH74zWzNJ+H02d1sBA8MBKubYzyeRzdAa0tAxF+Z + +3bWhwfwHost2Uhpi/i39mQkPJwL8S5Gi9rS720Au7KIbfRpzJ828iC5037+3eeDFIklRN5qTeF5 + 9/LeG9ITjJ1zIO4iCszBei0SdFLzGx7eOPDHcy8B/PDSPUdbc6kb5gWU6XshXilR89t65z96jCVX + GiO+QSWsvWtE2OW+dNCndloLbcVEJ5qDmnBY30ZFvSfHnu1SNzfHcFvtYPa/CJFTnA/pS7uoYDcW + HpRv4c9+VArf5nXCip9s49V14gW8lUXMNCs30Xi+fWxwnXhBND2x0IqniYJm/4CO6Xjl0w6cAs34 + x8izvHD2yMMKRd5yzbZl80acrLcFPJeLnI74nPi//FZnPs/cc/Q1vzXaDtCtgwqL11CPOVO9+89P + YA7IF7/P8MpCU/2+sN1kWXHv7ARFmf1FrASoQ12w0WXFG1Qgm530jceF2Z3QDSQVz+v7tx/61asH + Fb7vN2KrTyhCtxowS7ZPN2b6ajr99D/RK/uEOH12Jejyc0eFMr7mQ6bfRfh8NQmvLzVumwrxCbJ0 + EonbGRoXP5fGgIvPLEK8SWwHAyvFT48Qc/ZjZn2cKbP/xTZ0Ycf8mHyt9awPCEnPLKzt+hqhZenp + FLL14A8Gngr4vIUI94dP4/eW6TTQIlslzsbftlW+PaWQ8PLDtnbrxzIOTiJslxCzOf/9YSUFEbJT + RaYc6i2f9GCtoEUIBdtfsGz2Mz9DtzLYsNkfRMPkgwFofcuJN/NBtoUugIndb0RXt1o4Gs/aAWFw + fbJ99H7Ogw831vo2M+ji5duIHypNg+TJfap8IjWcLol/X6sLrFFeyswfu8lylGZ9xT/+ZE6H6y1V + ulS+sHDVjfFULRXvly/4FbqOOX930Fzf5I/+n/MbrP3DIq7KLFO8ofwFVbeQmSE9EjSlEaXIZBkl + /sF7tyOSWorqlH3xdL475nDeORKaPKv85SuaNkZSIce4Xykf9p1P06ikQCPoiXFYyvFgW6kAqUhE + NvtjaFh4R/jVD11HT9ucqvcrUFYSPzB7XNUmm7SFrShvC4hhCV3cz8+HXSWaxGc7PR+CjavAzDdn + v8Dl4q/+fvlAYjzETBWuDTx2acKc5W3IR3rOG2SXhwv9htuvOU7OofszD/FiOfcn/tRkmOcRxK82 + GRqKfWohIzl8yN0ngtnEbFPCJTVM4jrQxsPCOpygXn2e5Byqttll56ID7hyO5HB903yQIihhNdIJ + B2Ex5KOSHHZo7ek3Qlb0HQ6bwh0g2vCY7d/6B02PXZ6ojXDriBscHVM8hoGDNE8aMV/4Eu8OSzH4 + 7YdYXGCtGH6uBnzVt4OVeX08abNAPbvqmTi7pveb2Z8AYxHe8OL8MUKx/14xHDoYmLvvorgP34ii + N82fxDidHvznz8nF2Jts+xK9dlhstxW6taf8p49ydhMECX2fxcQ2nIXx1H5Os99fKczLGTN5sgAH + 9F3xwtX3ZLdDUSgHJK3vHu4ji7X8tHRKoPrnQKeX1rXTa3FIIREyGwvqZoypItgn+GwLm23HQxk3 + i9NdgcdDkMgm6sNwqHf4DqGnI/zjp7zaZXcol/hNdu75xcdJEmwI+MPE6maCsOeKc4f5feI0XoZm + 5awjAZaahJmDyBZJv3qIP3eF7Q5iGXa4XmvAFqQhXtVt2qXBuaEeXPf68798Pr5qBc39kuwnWvs/ + vaiql5PLDoc7Qd3PHyyTU/3jE3ySVtvohzdUsGsvFpdfS/rDn8V0KlHvHtwdRJF1J7vnNJrj/DyI + Q+XFtHh9Nqc7lhM0+4dkt3+l/uSn2aRqZE2ootwcNM+fDPXHBzBKTH8o3kz4vR863K6lv9y43gFm + /MYQXs4xe8mNpPgYJ8zayfdwyHrnz3yKWfN8aeIfL4OV/UZEzy/fdhCCV4G8cXgzywjOiKPIkX/8 + luhda+U//Yp8uaA/P4D32+5N10my3+Kf/uW1cLdg5rtMB10y+aVbCyA7x4a4fpvnY8pLDHSUPlQs + 64CLxf5ir3/+hZ4Yi3bEuRlBpFGVKltLQ1JHX9I6lcsHM+/iDQ3Pzi9h/3Zatis14s/zlhJmvMLy + Wnj9/L0JqP49EBI9ZXN09UGAcz9Rtqu31GShZpewCY09wZvIQOOijgalXJwfs/5AqPLwCyuK3uzI + cZ4X8kceV9C1l4DpdfHJu6E6vf6sf90+Dkia8Rny7yZhe4i7fI7/HbnLzYHoU7f2qVW51vrbZCey + 80onHr44jODUZB/ia1+bL1db1/ijj6/xSjR/fr4CoaUxi3ynnC32nwDh+AXErpQASfXt2MBxI1bE + K7ZL3uqviwODZMrEU24VGp5H2UKK6ZTEYf7U/ul33/2RU8VUdc4122uQWCcDM4111LZ1qSqwNE4V + s+zVp53x5gDa8dYQRz0kbXMOVgl4r8OWHE+54k/33LugYz4JzFNfW8S1Uaaw4PGJ8uzl5GMemQYQ + fzj+8D+s6TmvfvNb2m6uHLEY71J4PEAim6u18fswVmx4BsCYVvWrdkwOePrxIWbM88SRsYWDrGyQ + SXgX15wtb1GhznyBvmiO0XTaqaKSd8KTaNvNhOqnJL/gN/+wi6yLJz9tBvDNAFF6uvRo0B0ZYJ2h + I9OVaIt4StwJ5tkelujg+RRx5w6yEza4WYo3cyyWlQjBOeuJLgw4LNtPooDoaRozFX4Ipx9ezfMI + 4n6+t1a8fW8V1A+yx+InauPx+/FLSO/VltjPPQmnrRodAH2Ri4e53oeBpg7qr1hgm+37Nw9ce8Cq + amJWOtlo+rwa4ccH8CQ1tj+IbxOrf/9OBfznP/766//8ThiU1SP9zAcD+nTs//lfRwX+eX/c/ymK + 0j+Z9OckAu3ur/Tvf/37EMLfdVuVdf9/+6pIv93f//oL/pw2+Luv+vvnv13+x/ys//zH/wMAAP// + AwBhiEyh4SAAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f93cf221c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:05 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '14' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 61f436a4ba30aa3e6f6d7866b80a3a48 + status: + code: 200 + message: OK +- request: + body: '{"input": "What is your favorite color?", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '105' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VEpQ/rDgGRkxQBFSeTCSAi4IFTW+jO/u4T/K/s2fvG + BEqCpX1+p6f/8Y+//vr7m1Z5Nvz9r7/+fpX98Pf/mu/dkyH5+19//e9//PXXX3/9x+/3fzyZv9P8 + fi8/xe/x32D5uefj3//6S/ivO///oX/99fcZ6z7epWjZNRd+c2GRtyvqQqWnQj82ERBDVShmht5N + WA56YFJ0pbZVPTouvwUfrrvG9cB77RFfZd83RKggVH1kliZoF9CR7qmjJyhojcizojZCx9zCnvj6 + dJONkwRuj0tND+JmCPuLuFNAMymnmr3XK55N4gLoxtGx6+WmMz6ObQnP3TGj3uUhpH0FlQfbyN0R + 4fZqU5IfQhEVoVZS43ySQxruvj1Ir/sVO/azQN/X6xyAGBxib43vV6dXq4ChUv5gwsEu+JStCAM1 + Zqr3OHV69fQU9S2TwnuSMR8+DrMR1Gg7LFrsnnjn8EjzTZQ2ao2PdzfUxnRzecML7As22DVJm/au + l+Bdz50nDuo6HGtUCnDaZwgrZpo4/O0te1Rbh7O3Jf2T8+Ai+tDsLhlVtTvveNGRN5KbkVBLuJyq + RihNd3t83A7eqmVauvYOuy8kxQd5TZZv+cTvxUIGMUi9r6Rt0fTaIBUV7ftOxjcqK7Z7dhHczvsV + maztwpmUt7RAr5O29QYqxpy9rgcTtMHR6OFotlW7iU0Fqr3tUP2c91V3fXQ5uuvwJKOxwmmrD6wH + xWsd7HbK1mEH7aiCn8d7HHDjFY59USWyI70xeWLNRsy2bSbt5OOAnVtQd71ALxfIPt8zNtqhrcZ4 + SQD8RKg8yfCg4siNY0TYN6Y7Y0XT0ZUED7aSsCRTVRl8BX26AbxdrAhPZVyxi2ipULhCgq3roHaC + 3/UxbC7qgR7r50Xj1m3no3Fc69hzViSc7vs6QdZ5nLBxDHaaWK0yE6JT5FG8ZZFG+9XmDVlRnbB1 + Ejhi+/EB8K3eN+zWXd+N9cOrYa/eONVUtqvIcctFkNJ+8JgXfRHD+lOEVbXNsRejHPFiC720SuoO + 3yJ/EfLddPJhhbIbNY7BUxvqISOgvw4fbERkh8QtEzJQzYtDJKWzuYAbAUAyLYcesumNRn17jWEU + FpTuTo9z2sIRC5vWT3RPqLEfTvVaq9F48HrsWNRwxot98SEfJ5cq1VNEfUfHDZAwcj2Z6VE3Xt9T + udRz6UH3ZP8OWQvxG5oj2+LDS1HDtRLta3hMloBVt3t1/N30JYqsMcBHpgvVuPFuNnzj7eQt7+Oi + Gjp/EKH0Tzq1GA75GLS9Cq3cY6xE65MzXadYgO6QbekxXxthfWcPE05SpOKsqD0+JsKawNHyFOp5 + p5iz81vLgXEcYq9UA/QSQsmAMowpPmkf25kCPS4hsniAlesiTifsFBuZGIpCmrpfhTR5Ny6ELC+o + U3w+3QRNbaDPd7EjqF5pGnNifyPjplhQZWdcnQHHS1X61Qu3woZPpjxEoL7aqyfwzudCvUi+4J6w + R+1xTVKapeMCHDc540Ox1bup0soLNB85+X3fiksUjH+vn/pS01ENMhHatxV5YynUnKxRR1D5iU2y + dvGkkSx/TpBzWfK4FNNqYK5wAc+4y1SVWRfWnjrFaLy2FbVIv0PDuxwyeKieRuB5P6SCWFMD3Q68 + wXomDSGJ7i7Afih8HG40zeHfoibQt4ZGnXx1CSdBBRPdU+tL7cNh5Yy7bRGBoK9E6sBVRqwfmwsY + L1XGh9u94hN5Jhk6QcXItjOXFV8cxQ34x4VHPUESQnZ3eQ6256X0h7/U7GkMCLkudYT4WTG6uyjI + fXkfrHZjmbKyH77w3iPF2/JL6kwXsgVp/15r2N2cTTRF28aDr0o6IvCJdJ1ZbUrktdujR3a3Whs3 + 3sn8Uw/2Y/NKx4hKFxCcSvOmbHx0bDyFNQoO3pXi+5hXHcmQi5Kj/sE2et4Rie76Aoq7f6I3hjli + maOrMG2vjB6uXVD12S0wQR7OPjXoUHDy2w/aRVt6U+bVDt9Z+QU+yhKT6lMQh3wWuwhtF/ETW535 + qOb5LNAVThXdhfa3G6stSgBOa4cqq+LB2fkjSRB6VKO7Ibf5gA7KBC9bHMk0RXY3iPYUyHZXfKi7 + apfOtEYVkau96ZBFNRgOY/fJhwx3JXbylZjSCV4x6FeeYmsXZ5xoeFBQkZhvnCuF000fijzk3psO + qzOeslEHCRnf+kF/9UnN/pPAWgmDmW+qlI7VBsCvP0e8W0srbfKnLkfOjTyxam0X2oAOJoMFNwzq + VYOh8a25LdG5F0NsBYMbrvr9opbuy/eG2ubWSP/wxTU4aNg7a0U4zvODz+QLWJvA44N+5j0or9DG + 7vP+CbngBRmUkjZQSz2t0ufLKTI0Xr8VPoybtcZj+lTB3NzfdK+dj44oG0qC6vftia3cbxHRQ0eC + 9PxQsWF/ruEkrycPvkJ2wGeWcIe8T58C3XeiiI0yHkOy2ugi9OsYz/jSOkw5DUya+RXrSw+nY6P7 + ujzzL9U8t0zZa0QLOMeCRJUm2fPxjuQczF0yYvc7tekg3swEud8oILz7OFw4fyZJeh2oQbot4um4 + 3U05eEKzxoqxfKGpOrEczudTTI+bgDl8WH9V8FeaThWur8LpXiotvGxhJHywZd6L08qT1C79kMXj + /Q2pmMcK8OSYY69Du048Kdsv5IWUYw2dTG2QEiLBShFVIiutqrGAagH6nFIDu9SLKuaWaxc+K/Hi + EdnEqCWbR47WT0ehJiKDNiK8bmGeD47Ut+NMfn2PNgkKnoQTTUz54riQEAkvLt5pRR+yzXcP6FTy + AwFNPaTch+Aiz3hEDfwZuuaOVhkqhPOBHlilIHLf1/EfPra37piOduFHcmItYOaP0WHL2+CB09ox + KZ2OOsxTpVgeVrVFZz7qevvSZNB1koW152cZfr/7OAeL7xcEwfWO2HXNcrDkqcbu6qB1Y3h6tzDz + pTfkayOdwvWWoR9f6bbaIe68ripc33pG+sUYOiQWFB9CXjtkmZ3t6oeX0m+9f/U+XvjNQ6u1tPYW + rU9Str3nBNXW/oy1qzhyQo1XCzN+kaUqKZyfd9cJ9nf9hmc+D/lC3AqIr6sWG6LVhVyCYALloas0 + T96BxuzhnYOdGozu5a/O2ea2FJCjOm+yNHDF2cqZWqSWRU/3VVqkPFhuXVRw5ONjtF/+G/9XFcqJ + ZCm1Qy5khG2itDbhXOu7zrpZATq+FxpZQyk7bODxhLCYhnR/NKSuj6bWREZsfqnbKTeHRVf5AlH4 + hD96lxX7yoDDx/Mxfi0Th+XZqAC8xBor98VL49qK2XCy1Du2IblUPEu3C/SAuCLdgxA+Lqg0wVKJ + A3pHt3XIvX3gyvzSAD4O31b76WNwql0046lZkRkPwZFqjPeHzEbiMIw2tEMQ/1u/8Up5Q3yId9Rf + FUtEl5unL6cOibErVtdq3LwuNvjPXUfdcrpXY1btVPlz+Gbk02Vu15LQjZChWxgf0Eab8ZO7sFe8 + PbXb9NitCnwDGP3ng57VTKjGVf8uIBhFSo/+sei69drNkTK9LnT3eOwQc5zJheC2AmxajHA+KPkC + 1O72oYpjaN1a1vw3KoseefLW+VZjvxffcBXL0PNbcYvYS1FNeEF9JAvA63T03GcgK97XocF77DVu + 2dyEUPXfNEwdgY/nKmxRf9Fb7CzU0WHq2f2iEJsS/uPvjqaqgk11i7A6wRX7tl0NDrsWWLmUddov + PygCgcUO3bfrpzPBEYvSvSQ1PVwmyXlHXajD5SOV2AmDK2dCfIp+eo2sb/Xzpw9NqJ+6iS8nSNLv + fkkM4JcO6EHhY8oOgihAZkkBdhbI6vh3cBL0UF0Nm0Cqilg710duxBi1wreOGHH3AZx26IZ3GKq0 + tVXUQ7p7NPR4d7k2+8t4+w7GM81LdUL9QmEMHR5dROBgvTS2H68AHB1csr0ItkOwU0jwOFSZt/bv + x27c5bz4rRfe3QYfsdKyFugpGhWRT43Qjf5nbwOSbxKpGCmc9gMnSb4GpYS9t+VX7M27BB5L2NP9 + 5NYaLeW0Bh+RE6n5RCq+vAsZ/PSWkrmRNj2rjw3rdoeociqJNiSnTAHxbYzYq4a3w06mQiC2PhRr + +z0JSZY3E+SKyqhZiw7qesdzkWo/t1jPdhEayRQnSLWrLWFUZNrsX9/olQZf6jwLRePewWqhmdod + WdpbWavJSvHggrcUW6PphrwWQoZKnJ6p6/gq6q93p0WzP/W228uHT4Ut9TDXD1l81EbjDn+ZcKTC + wqsy+e0wsf7oSF7vJWwk9uqnny8w6w1vKRzVdJ0mdoFw4bnYXrifinwo91BzOPQekDNow9ZXajQc + BANf465xRl7EE9RatMd21hbpWA9ZDx+9GGm6fhvdWAZMQOuPcKQxL8aOxTkyJGOrXvChPlh8OheV + AMOzZqRsjmL340tkEgJ0N77MiqljsZFkqcuwPeMh4906A+FRZl5PzpnDxGOrwzvgZ7yf65v+ySfG + x5qUao0cCrvGRPw5JVSNlG83YF4JQMf7mtqkdMJBUT4iKuUXpuZp0ab8SY85ile2jvd+eu9+9YbU + CSqs+/kl7WM1F5AZQUgW2mdCox2OrbxEaoO98TWmpFt+RBCz6EB3nVqE1JRWJejXMSXyO/w4xD/6 + F3nGEwLL1qnW36Lu4VrCiI1gFSDurqI3ODDK1PlCgVg0tTb4XZDQ/az3iHZHJlhFdiObeX+t27Oc + Q3Ivc6IE6bujxVYg8k9fGTtRSf98r+XTV0gjYSXlu+nmS7P/IWMa1w6tsflFz/Jge5H2qKr6vhgC + mP2mJ01N4/CnJV1+4yQdhyv/rQd8lo75wxNEZrxBlwEjjNOz4IxpqGVgnB4pVuPDOxw7/yWgy2dT + 0qtkBN2YaEcJPVNJJeLqyjq6JXr7xy80s//uK+g8WB3JhXpK0XW9+YwJ2rVvEytBalQNfY39z49S + pyD7kJ4z/Y3MlbgjBQSflEldLUK73qn4UHknbdY7G/QnH0s2VGvzc7OAS1JfiITPfsfXYTHBevjc + yVa39XStfUpV3hn2xpNnfhjLYCOgMOjv+FguaodXx5sHbN6lbH7feMrOG9jkW5XeHuqrqpToWEPh + igkR61ORTh7Va7QSRhdrp+cr5Gb/iQGfny/8bcRSGxcLZQPGYnzj+0gPvMwPqQClH+rYOxC/49dh + W0M+TBPWUplW/c/vCS9a0z2ItjZ5qPLBO71TuneqbzcW78sCpspuSOfIEZqebmlD9mnP3tqSXilz + x/1FUnXW4L3wJRU7CAsBPadqR6S6ySp2K8oSpOd2RR0mLNNxypsI4jdCBC9YG1Katy26nr8vT0rb + hjdb36x//h1jqfTQdG+XBbq/A4Pu7gKpxqAPc3RkZMDmoB/SP3pK8sQYuzeTaOOMp9LMl9RK0IGL + 37H8yk+04t6k1qlGuY1qiImy/FM/k67Lk/S9EB3r473UZrzOpdn/YV+8xSFfZEcFmhML6fkRlR01 + K1bCajy2BJ30RqMNkcTt7Kfwfj9eK66lToSWUj1hT5bsaqKVtYFldSe/+gknU35doOkKoM5WTdC0 + 2rjidgIU0N0bld1vJ8Dn0GbYucOdT8GNGOgW5D7Z6sOSDwMrFuhUjgdPPAZPZ4i/T4BubBKsD5c6 + 5DfzXICHrjpWWXnrJs8acxAlwyaCh/SQvw1ThDlfxPau1tKp2RUBvMbtB3vrvHD4pwsXSNwfNbrz + tWc40tdIQJaajJonl3Zjty0Y6rkwUO1b6B2bjD5CjhufaaymHWI2Et4w85O3Wd2Kqr9/vgEsuuWO + zvmUNo5clJD0elypeUsch58WOwZN7jF86DPNEVqi5vC2shJnQa915HWwPHjFtuyxmT/Z63X20U// + n9Njjfrx8SRA4uaF8bLcO8JnbQfweYoy4bu15fCJPALImGx6yx0+duyg7VVk7y4HT8y0mk9LIiXg + RhOjeB4fwdy4cLhMN+zaVzscLU3Q5XAvmDgIt3bVHcJpAUTNchIn7h6hvR/p8qaUMqzDwXSm+DXZ + UIS7kupJXvLpyppEyqSTRDWu9RV/fWQdhpcd0J9/n/2XB18jOHrbZ860LzBkQiavMw9QNfBZ/9ZA + tZM869d11d5DqUCQn77e+oTNlJmbcy89D5uGqtvmWK3UwWrRrM8pJsdVx/aZmqCXF4fUqvynNr6i + a4Qk/dWQEUwfke4oqr9rekgnP2SfhCjgK47sbV+vI6ck4y7UwXpJd9eTkRJCixoS5WvjAPaxNgyR + S1C7D9/YLWrCh8hYxii4rYGsyvLAJ+frCaBpSYK1QyLxP/nTLrFPZHMOjyl3+GDDKxdtb/zkC20w + szGHGc890QxaPrgSuNKcd1Jj5U98dItDAsvPzqfaIUk4eZusBVEsvthhwiPk1VRfYGWbArbU0zkd + 72bkgfAoMmpscy9c0de2R3Peh52jWCG+zq5feBf7J93lw8HhL9HxgGXviOqstiru20Upz3mwt0Fk + cHj+PfRQlfn1l8doBNI7oHl9ybo/v1J+XOuqtHwGyk9P8bneBKSZA8epRd8a++7jDKD7CN6qXT81 + bp7bGOb8nOq3VxsymqkCnODJ/vj31ivEDP3y0B3WWsQiZRPBZbFvqPMBOxRtFRGkpxeZ4vQcaX/G + rzf3QNa8/TpiDGvzD58a8/dsyOTHID18jDOo6pCBfBPgXTUa/uXnQnX1dVTpJKKzHuaMX54bMDsr + wVoSQDqszk2BZryhRvnAjkD5QYDEeu5n/FQdHoydgax+I1LsK6d0dC07+ekJqqJI4UOwkexfPWDt + /K2cb7dQVFl0Nj7d65ulw0m3u8gzf9FZf3X8GroMDau35VH9PiFmGZ0k3dJRnf1DU7HquUjgbhaa + R2Z9OjZHY/Hr/+DjKyHVaGlgwBwlU/u2vFScaisR8jpTCNLoNmTk25TgCd0a//KsSd3lElRkI2Ac + HjbdBOkZYHsvOHXCYM0nJIQRmv0oWffLvJvSzsyl+q4TvBdFOeXYHA35c7z12LgA66YHucRwPocx + /embQT8jAvYz3Hjg8ohPdVtLv34UNU5zX8EM1Tdc8+WV6ld+075YfwpwXa729I+eu+BB+uU1BCLz + +rvewNFZv7zNUmPOiDbTG4gqnb3PuLlqQx6fGHxMPcTXYlt3/MdfBVIjElvMQ8L0vJnwiFZfsk4O + ssMui/Xml/8Scc4/xya9GxB8jT0pQyVw+Dlza8R9qcfedhdoE7t0HtBE2FBtM2Th9BzlYGv5aond + pis5myIpk1ak1mnq6Fk6rt1nD/eyr+msFzoWLk0Boifb0zsTcTj2+8Ufv+8J+auopmqV2dCk+z3+ + 1aOwHx8LtDr2FxpuhiwlZ+R/5Un1EVn4oHarg3L2IG2Ump4wVOFgBaoHDWk/hMkkTYegT3Oodu/G + m/OrkF9DnaGnkzv46DPQxruZuQhEP6Wz/0r7/qW28o2ylB7l4J2+ukHVwYheBnW+mhmuxmwrgf08 + bbDaHMWqnfNykDWbEb6GvcY2YqQj/owqbGrHdzcZ1S6HBi048dWNqa3zL+7Rg5Ye3h+XoUMHb9Bh + eQ/e+Ihu1/Tnd+SV8QkIM9NEy6Xr0vjpB29VrIVqelxv8Y/vvA0QrRtKvSWw8R7On3pldJcr0q/f + M/d/K0KeSf7rXxLpGW27Yf7/6DMFAjVeQxSK99L8ol8+Yc79xdaaRAMG8tCplz7sin8OG3/VV4n4 + 40/Unz/S5tf/wFZiDdqoRXoA50d5wK7jl4iIW8FH7VpTqSkSEbEm1yWY1qaK/etiE/bqWf8CHoyC + DHc3dNg93b1BXKYV/uXx07W2CQB1LrNeqUL+08PZxnDpr//D4pzP+ZPrY80KLcQoxwLat/ELh5nT + hXT23/KvPp1q5XY8WI6uLGDj5f3xT0syxXIdrJbeuIcLYpc08tbmce0RwVY7/v71wy1fKanbdCoS + Zr2LtpeUUntqGm3U2beEl5eE1LLecTjNfAq/PM/U2WaO7PUcNim/ks1xP/IxzjQf/OtpRxpUi904 + nMGELJmUme9stP75gbBQG+y6PEJTlj8ZdD7vqbJxmqr5TJ0C23Ghe4Lk3bTpmbAAljeqe5DdR43N + eSia82VqGmXTtdLUSejv36mA//zHX3/9n98Jg/f3nr/mgwFDPg7//K+jAv9M7sk/BUH8JxX/nEQg + fVLkf//r34cQ/m6677sZ/u/wrfNP//e//pL+nDb4e/gOyeu/3f7H/K7//Mf/AwAA//8DAHICMqHh + IAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775f94ffb71c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:07 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '1774' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 4ac521cbb276715dfb45149c61d7c049 + status: + code: 200 + message: OK +- request: + body: '{"input": "Lorem ipsum dolor sit amet", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '103' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R62w6yyrbm/XqKmXlLr4gI1GDecRIRsEoFUTudDigqIHKsAmpnv3tH/53d3Tcm + HBJM1RjfadR//Ouvv/6u0yK7DX//89ff77wf/v4f33v3ZEj+/uev//mvv/7666//+P3+f29mVZrd + 7/nn+Xv99zD/3LPp73/+Ev/7zv996Z+//g5y+cgcmx58Tm2zRnLe2sw+0xlNJT3qGoZYZ5vNXKF+ + OtFKzZVkz3ylDUMJurOntu9MoHKsL3n1wqsZdXo3U0YHN5Rob8ygLJWBWOs4SefGeplqH26OhITb + azEl0j5Q6XHUmCvWaUp7k3koHkqLndP7qattM6NQm2GAxVWz6+aYaRQq3fGYp44bfz7dcwle6faE + pfM+8mflMblQr8SW4Ta+W/yTGHs43yEg/nthd6JBxkyLDvqZBfan9efv/4XPU7qxwI31cHQ6JYJO + b2a8Gt9FN6vh9QjP02dF5cHCfMpqKQM6bRjZSMTmIypHD57srNKpM7f+uOwgQ9dqisi61J4+RXYs + gJ+qFvNv2tWf1qjs0XMb3/CzPy3CqdwFEmq6eGJb987RiDPd1ZYrTyDBZ3z78/QyM4WN1wPu26Dy + 2/TZAVRW4LJTaB07dt4IJVTkkRNrpRl8mjHU4HQvjTgrnyK+K1sHvFYJiYUMuRjv+2UL7uH+Js7w + GrpJ3RURtNuuoPN8962VLSAXwaZmLDlmejouzvEFhPCzZEYRzmhouqennadbRLbTfgwbJbEwADmn + ZOcpz7CdgpOrvpvMJrr89kOay8dEk3LhSlcHLoY8UgQbwqfxwWlxVTgr3nqlAfIkzM4tCweWby+w + 668rypzDmU9Q+zU6HuKe4ffu0E3mOxNR95EzErhCbM1+gUsonP0RIyt7+NQDHEPKTwaxl+UFjWja + 65pyrtC3vlBaq41Xouxwzojbfnac133kQW6JM9GzaOKzrewCZd+cBzrcHmrIczSoYLWtTtawSBBD + Wg/qnTxL5g3yOuVwTCJwtf2CBMfZsJbRKLYwXW8SVast8/vjO+xBrdQ7cXN51dHVWNw0CfobuayL + TzGPF02XO7gHzPd3y3TwDT3WbgXziC2D5a+KnLrwbm42u33GtSX5hVOqD89UiXmXuD+J6COBNe0d + dntFZTiejg5APTwWxKofp45vqC6CKUhvPAKs0kHmJsCgn+5sl4frsJ35PYKzjbdYDCZIp7bkx4Wo + mRMzXYcVI8rvPWI3tCXuPo6K2arUGM5c68haLa68Hwzkot96SUF4L7g5qj26V27Ltvz0tgZ9txcg + W94C3NzTFW8ARkHziW6Q6FlFfL5Ftg0wrwo8h8t18dtPdDk/Zoy+9UGRnQnI0g8x87/X4zi5Mwxt + vyGeFrj+2LlPHSWJapIksQI+me9YQp27WBN/vz6HE4nQCHU4AF6J3ujzYqozFMaHgmw+w6vr2S3N + 0G23sYm+PHu8+dXXtz/oceq6grp0pyIzjTNCysOmGJ0mk1G7bQqyPUl+yBf1EyNzt1pi7ZpaxbLR + kAl3OTCI84aXP4vMU3/rjZns6H63TcAB58BVqpbSlY+HXq/AENcz8fzzg3eRIjhQXaUdRkYhWl3i + KyXkIkZ08FjczeWndlB9MwjmdBuj6bYfSzCl4siCMrfRAGr2hNwvMgxH3ejEzf7sATmCQ/TmUBej + KY21Zr+sGqt5ckHzan2RQKYoo0my7ENuaEkF+dbckN19ZsUsWvLxh2+4urmSNbZ6UoHYlQbR1Va3 + JHhde9Uu5x2V1iso5uC6dX94RNE4H7o2ni8eWKdbR9EX/4b1TQGIVtaS+YT6/ryMfQ+V6HPERcwm + xN9Z2kMHj4ACOx0KfvauOjryxKJIfn04iz4dVlXrEjP8lN7djD/b6s96IsF4hOz4GgNNUqqMbTeR + a7F3y0sggqeQrWzdU1o9UQBzPV+wqgW1PyrR/agWkiHiJZzf1mjbiosOGfLZFy+7SRfiCm2HzsX0 + c3RCvnUbDFMku8x6uk03ld2iBMOVBerX6bsYrqbsoeVW5cw/eoHPUZfYakpEhd5IqReDzc9HdNYf + JV6EoRVOLN8m6JBEd4LToLQqRShUdTV1EXNpbPuzvi9vQHq6xXB9U6vCH6OCkg57EsTnoZuNi6LC + wFcllX715oETweNy7vE4b9t0CMTnRYtnbya6vTPT0r2UpUr7QifO6dT4YxSEAhTO8UiM827f8RPu + MlDOJSL+7VSE80ZzMWLecmbWIqchD0+XCLaXOyf6Rwit4XQWZfRSHUo2z8crZcXbLdH6tjIZ5ljg + 3YmNrXZxLBPP6xYXPZ+bWKlVoaZzJExpv5YPAbq6t5wE6VOx5urJMWxuzwEvX+8TmpqHu4dq1lqy + XfWT31xfrfrrT4aTxP7Dz2q/wvoP7zm1k+SmaFmrMXN3tdHcpVSGsJgD2l7UV8hfZ9dFxZmZFMpL + ak0/fKqjqCDp+W6EDQrjCHi4CMjOY3Ex9srQgr+/zXgsPhtrtNL4BuYFP4kVs4lTcb93oWjmKwva + wLFml+5k1BT1mv3+D8+951H7rY8Zdoj306kqQXv2J0KYFHK+VDsJ+Cy/8VwbbciW17iGOmRAf/3J + rbMqgLCJExZkspXO8rmjcMeKRh/OYcX764bUyiXFZ/yt/3R49VOG2mE+MP2ISTcdlxsHvfvKZDqZ + cbey+3oPn7Vl4PHhHNKm1HsBoQAhZkImd8wzxBg+Z+dCeSRWvBOMpw5nvuiwMu336SygWf+j59Y7 + 9WPx01OIUXpQD1Q0R8znwhsi0JYH66vPPv54zhtJpbvPh5BgZRa8CaMEXFHrma2FzBpiYWlD6Oku + sTcHu6hXqemp5Cg4DF83JOxx5nrqU6FvqvXREQ2ONQfakV8stgs/l7RF6iHTTkbyZL6g1QXLvXqv + /b5nbIMiHAlZi2h7tRPiKtuD3018f9SEg5OxzckQEZPv1xacWCN0NK9nfwrCMIDkWDIsLi4WF6/b + 1oFAyc/EsuzC6oPdcEROV2i0Zq7VTWq+r9Enm2w83v0qHPTe72GPrjYznRu1uKXorvZ57pbEVlf0 + x9ei6l/mNb10oxL29uFgwnLlCsy/b0zOElhhmFa8xp8i6Dh9pzoG0q9zsrs9knBMz22OJCYmdPG4 + vouZux6F95I9mKm/CmtmTusi+qIxM5/HyJoyrZgRv3ovutyN93S2qjkCdD5WdNytimLQ9cmGu3ci + bNe2Uzq3K8OGIvQitivWNppfxeCgy0SkL5+vfWlaaPi3nlg7ZgFafdcbJkJnXHfjNZ2GzctG2i7Y + EVsLiT9et7mDxldifPn/jKabve+RAekaSyd/kdKvH4Duo2a0zvcvxDcBb5FwmTxil6fO+vJbBVp8 + aplno4U1Xd5aBIN+vtP8+vhYnK1aCoPtmBR98bedgrsLr1K5sp2n6CndpEhH9qNakR3aPLqpctUE + ucsyZObZqqx5/4yowprJJ7/r6WAb2aqNdPzVQ7e0qnAdI04ud+bvuO6LwixXqJvqnHivufCHMGtG + 6ERfoW9DLNHXH9yUSb4QduaNanEFPyKUnw45wVK19ceNc6XgNHpFFVU9dONV81xkH6lEFal4F727 + OseQvHKXkYv/Thtnf3QgLMaAOeqVhPNFEzy4WocdM5zRDPllOgSw4S4nTo0vKW/EV4kec3/+6feQ + J20fIftRruhUvXg4ysNJhxZLMsFLcduN7/JagyFuZszfh5PFqqrx1J/etMLXFI4nfnPhGQcZidtw + 5zNLcV346d8N5wXqf/zRDn6Lxb4/+/OCJd7vOdl4+MPnc6wBOk1zQ/Tb1UF8f7jHaHt1Egpu/Ezp + t3/BDVSJ+Q9zh0a2oZ6s7KTVtz4eaSOcDxHUZLujcIfEnzN9EQGqWUxHP827ziwTEX39FSGP67ub + N5oegJdZh//yi+/LMMPXj+J68T7wr79t4ROw4cd/FpW2xR7I8fSgLW1t3swDu6jbjWVRiVV52G+f + swm782pLsL7102EhHHLYCQ/MjFoT0+EedxVM3uvO1n3eF1zSMxUOZ/wgW3nhdMsHESg6f+ieGWvB + RGN2tWzttV0LuPTrsRh++uEV3ho8TcvY5+UqvIGs7LdsfS7ddBwKPdJeRnokPz0xLKc8gbHHHW5e + MBS83r0u6IgcxjZx5Pn0s3zmwDdrD1fv+Zzyn/6pdNujr2Of8Kkt0RF8nCa4xczze1hZulq+VoTO + X7wYfH89wzcPIH62pyFDXqBC116X9OsHui9/ekiYC0xZMU4dbXbVDXL/lTEHX+aQ63Fygf1ViMiW + +2k6y/KoAuk3OR3txYtPX/0Pywt5Y+TvTukkei1WF0F4IMaxV1F9Dy8OQqVXs10fHTmfyruA2o0X + MP+VUc7egSuhXJ4atsVK1M2pL7TovvokzPG9A5/wK62BPmrh2//PlN/1+YiKvRkT19SAs1G7U/TF + S6oEQlMMXuLaEHaZzNbCcfRr9ZZT2JC6I9vHM+hm7x6W8LT9Df3U9o7zx2e+QS4GiNnDok9plts5 + LFPBI3jL+2IQERORvsows7/+hkmmEv32l1LivFAu7veelh1OGbHMY9F9/dYetXt1z7ZPI+9m4WP3 + 6LAsDnjiqof6bXYu4aIUW4axJ3fTXLwAHpdTTwwx1Xm9mfoYCuG8YdiUlmjau6n6yzOILpCgGKdT + VaGvP8fw7saQK6zPkb0rnljr+A3N6bMQACzbYNGylNHgJboDcZr3+KK1FZp0ISthJUkNltz7J52h + e3gAUT5hGc6HbjlErqB+/TRVL67B+ekpRbAT7vjnN7qhf9YiRKv29uuH4qvPMTxBLIipJAb/6n0K + Kd12xP6Yp+Lrx27oi6cMnxTKx9WF9eB2EmG2rCt8Wu7vWBW2y4mOQUlTer+uHKjGW0h8kDnq9eo+ + QrWZJdz0TO2mRLoE8OV7PMSWknJ9uXOREy8IwV1zTGkr0hah5fvCAunopu/JYRj6t9f8wfu+fqsY + NpFosNPrveRTlk0m9P3qRFfpfdlNk/MJYF7vD3TIUepzsb4AGK1wYlupWBdzksgC+vIXVtpQ6aby + pXpw52bP7Py1QIMhHjzwiWnQQ1nVIX8WT1MLd55D5ezVdXzzcJ6QM+NNxcd960uZvopAbuORbYRq + j4aSJjq43a5mWN633Qgry0RhVkrM++rHsbYHHTab04VUqLe7qZZdHe314EDSoiiKwTfcCPJ89MnG + 3XKrdy9lBf5W6rHoPN4+6yNRQC98CJnfHxCnpXOU4XNQrK//V9D47VeILxfK7O2w7iaN+Kpq5dGA + n/ttwrm+XH/9kMzJt7+sITlZpvbuSxPPNW/4uHJuInTs49HJuA8+a9NGhExcvan29bvTOcxvcPWr + JxUWmce57ac26GnL8er5eIXfPCVD2mEEZn3ihndFXnlgnLhOTPt8TekiV4/o/XInsssRsupx0mc4 + mteQuFNZFuNIaQTb1TXAVTo1aK4Wb1DzydYwiAvuzz+/+MDvGo/7r6t7LVUVus680fqp9f+FD7tj + IzJvoGk3bzZrCv673nz50UJTYa8S9HhLJ5xFldJ9ztrkwH1DDuzn90cfJdFPfxHnuKmL+aJJHgAR + TDqyYRv2hnWpQOW+jJf2fo2W6f2SIT4MhD7LcUbMUWsK/FKomC2fy3S8iCIFWa8GZli5wcWlx/Zo + a2Ynqr1fa77MMsWETtwqeLF8nlIu1nvhj5+3RGYUvH2zI9K37xuFgpBw0l7xCN5pEKi8j6NucIzz + DIfnCZhLdjWfzPRwAUEVX2yd6Nt0fFvBDX35ia2TuUY0UYoeLkKfseAVlel8r5VEuTL7w7bJ+WXR + +vacNUlXTEaCteXP6rv30HFT1cz2TmlI7/V0UQfx5n/zTIz6kVaRkpogE5NEhHNuXObVe9c27KvH + LD4GFwcshimWLsW24LdikaFESLbEm8khHXenuQdhOMtUarxXx83109FM6XVkt2//j6+1FKHHzT5Q + aIV1IbHQNOFTv1x2H5w55cX0zOA6vi7EDs8Vmtn7JiNe6QUxdgVL++Z6jKFPkzduD77vK6/noQQU + dwss6padzovnWUJHGgx09nhi8S5gOcqe+xWxxPeZM7vdich8KAFL1usa8XExulDRCyKBb7WIPtur + ANLpMdLxm+fM2vF8gZIfFsT51i8LvO0In6d4Y9tiJRcjP9w89ZunEwv5Zijly5UAHkDLvOX9gEaP + 2zJkXe+SBBK3GKuzMsJURTKxiPdOh69+kUmZSFi8Gm4obepEhmrMQrLFm6U1olL2IDIdAXPF2RU/ + vQvHKjewuA4YH4P8WEFjlJRtQrpIJ80sTZT08Yxh2N/4wM+mrVUVJVTuRiVlWweP6iaSDDzzKu6m + tBljLQpflDi76sj/8JUenp5MV+RnN2Pe3JRdOfhMT9g6nIyPsgdLvNhs8xC6kB5v3hG++ENDU1XC + 4aR4Dgimv8bLyxD5E9MhgGpetMw6acdwdkv3ht7nZMBgfzz/m4+JUCRLnTmCurbmnx/46l2GG/oJ + Z5I0FFT63hLrnguIn72D/tNLZFteaFdzG/aw9i9HYicQhuPbsm+Q+kef0kIFf/w+R5UniyTKu6ag + 6mzrwOdQoOogr8OZPhoZ4dciZiYf9XDc7M8uZJnk/PgWDTdD2KNocXYp3672/qSgywVA1mXaH+tz + KBXCOoHGqChtQye2pg9TS2iWzpKqX38uqreW/uYj+GleV9Y0j4aEhHcTYLW72Wkfo6aE33xmszLK + kHVkK8C98lpmXJup6+/7ZY0sPt2Jt9FDNLSOnoN88lPK5Qj7q8JCFxjAXTE9iw58ZqGnq6hbRcz5 + +olJf3QSusUrl23K06rg19NCh8yANdOHWvzmW5MK7nWW8WtpxUX/m7f8/JW+MHp/VnxfVFW+lckX + /9Hcr41KXfOHS3bG+hQ2xyVxfnjHNnkSpCPz3Aq9H1QnZhRMvPnme5DFOWfbt4ctujdegvbdT0a+ + +Qpf1HWA3ru6+TMfoNfPXoI5Zgad+fhMWZT6MQgpctkf/FSXjyd04vgkuPfctM/U/RGFywC+ehqn + 075pHPjm21/9ZxXv2YxGuLpZzqzUuaNpE+8ccJdVyDxI6mI6rpocycpxy5xs16KZemIFP/3NvYYV + Q6c8S20jxy4GoRFDZrdrEVR/bf7mdbw+hq4IK1dbka+eRvNh6ZlAheqMp69+/JNnfvNsrMULsxu3 + T9UEt6YH5u/Jy5dipvVQkmlF0VUxU9FpYhXYCd9pncvnbtwOVxV5RfDB4zcP/uadDvTS+0oMYWV0 + PLjdWtQpZ8y8ZBmEXCLXAFjV7OhCdp4WvxWrG7pfj/UfvzQ3uyqDhikPLOioReNPz33zkm+/bcJx + XhgBGhRdoS/rcvE7yZxi7W62BZWK59OahhlRJN9vlLmi/u7YdLRsjST1zEzJXBWc7tscvnkcI05q + FDNSrxnkei8ScsC4mPTeoup3/oSn/cT4PJyjDKLIOxHvrVuFVHRqDr963S4nx5oX+Xz8+X/ijVEV + 9nmu2IjJtGTr280LV08893/00QZe4A/94FL1rGz1n97t+Ct696gQThs8OaOZLvErbUF7biiVlk5i + 9b/5VVMHnOAeNnzM2UVA3Wm5ITtp5N+8DiJU7PWYuO/MTBvpkreQmoKMP9/9546M9/C6WOcv36hW + Fx6XKpxE+UNModil43wHU35+OkwXCCSr/7R2q9bDffHNH9bhmLM9wJ68G+K/lyof/P4IkHXrFyNf + vdF7PFAheT1dth43it8nY3sERXpG7GKYE2+wjm9QSG1KvFQ48zFaiPrPH+JpLSr+pOaXGr7zHUJk + R7d4IzYVZHXpkZNcY87Xc7iH3iF7ovenRzqpfWzD/tUYf/qV14aRQ8D8nuD3biqm5vaWVOA3j6Sb + hYiGD5sruLzEOzM2yo7TTF/FcNDEkiRf/ptC7fbUhFVfYHmr8m54+eUemW8np3Iurwp6efgXNHdy + zDxu7PmgEUuFp9K/sfqITWsuj/MI37yRSrNZpJPv72Z4zJsRZz+9epkOGL2PuwsVfLoqpu6SJnDV + fYLhxmkxufVDQMm6H5h+951w+VrYMbrV6oM5jWd0S+Mz7eE+LGMSCI2YzlfHakHcPlviI1ZbUwXJ + TfVmV2dJKpxRLz+XHlL6bcNc9VaFPBOTGBgvCHML85Xel1N7QcLiSphFtxIfoLZa+Pt3KuA///XX + X//rd8Kgqu/Z+3swYMim4d//fVTg38k9+bcoSv9m0p+TCLRPntnf//zXIYS/m66umuF/D3WZffq/ + //lL+XPa4O+hHpL3/3P7X99v/ee//g8AAAD//wMAcglDZeEgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c775fa10f931c83-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Mon, 15 May 2023 00:48:08 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '801' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - eab878e76dacaeb2e6d7195181954cf5 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/integration/test_json_file_memory.py b/tests/integration/test_json_file_memory.py index f9fb6b4ce04..056380f7e98 100644 --- a/tests/integration/test_json_file_memory.py +++ b/tests/integration/test_json_file_memory.py @@ -113,10 +113,11 @@ def test_json_memory_get(config: Config, memory_item: MemoryItem, mock_get_embed @requires_api_key("OPENAI_API_KEY") def test_json_memory_get_relevant(config: Config) -> None: index = JSONFileMemory(config) - mem1 = MemoryItem.from_text_file("Sample text", ".") - mem2 = MemoryItem.from_text_file("Grocery list:\n- Pancake mix", ".") - mem3 = MemoryItem.from_text_file("What is your favorite color?", ".") - mem4 = MemoryItem.from_text_file("Lorem ipsum dolor sit amet", ".") + mem1 = MemoryItem.from_text_file("Sample text", "sample.txt") + mem2 = MemoryItem.from_text_file("Grocery list:\n- Pancake mix", "groceries.txt") + mem3 = MemoryItem.from_text_file("What is your favorite color?", "color.txt") + lipsum = "Lorem ipsum dolor sit amet" + mem4 = MemoryItem.from_text_file(" ".join([lipsum]*100), "lipsum.txt") index.add(mem1) index.add(mem2) index.add(mem3) @@ -125,7 +126,7 @@ def test_json_memory_get_relevant(config: Config) -> None: assert index.get_relevant(mem1.raw_content, 1)[0] == mem1 assert index.get_relevant(mem2.raw_content, 1)[0] == mem2 assert index.get_relevant(mem3.raw_content, 1)[0] == mem3 - assert index.get_relevant(mem4.raw_content, 1)[0] == mem4 + assert index.get_relevant(lipsum, 2) == [mem4, mem1] def test_json_memory_get_stats(config: Config, memory_item: MemoryItem) -> None: From 77e5b4e32cde217f510239520ebdce9312a00ff4 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 15 May 2023 02:53:59 +0200 Subject: [PATCH 12/54] Fix test warnings & linting --- autogpt/commands/web_selenium.py | 8 +++++--- tests/integration/goal_oriented/test_browse_website.py | 3 +-- tests/integration/test_json_file_memory.py | 2 +- tests/integration/test_plugins.py | 4 +--- tests/unit/test_plugins.py | 5 +---- 5 files changed, 9 insertions(+), 13 deletions(-) diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index 8588ab71f2b..18ea53197bd 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -10,8 +10,10 @@ from selenium import webdriver from selenium.common.exceptions import WebDriverException from selenium.webdriver.chrome.options import Options as ChromeOptions +from selenium.webdriver.chrome.service import Service as ChromeDriverService from selenium.webdriver.common.by import By from selenium.webdriver.firefox.options import Options as FirefoxOptions +from selenium.webdriver.firefox.service import Service as GeckoDriverService from selenium.webdriver.remote.webdriver import WebDriver from selenium.webdriver.safari.options import Options as SafariOptions from selenium.webdriver.support import expected_conditions as EC @@ -93,7 +95,7 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]: options.headless = True options.add_argument("--disable-gpu") driver = webdriver.Firefox( - executable_path=GeckoDriverManager().install(), options=options + service=GeckoDriverService(GeckoDriverManager().install()), options=options ) elif CFG.selenium_web_browser == "safari": # Requires a bit more setup on the users end @@ -112,9 +114,9 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]: chromium_driver_path = Path("/usr/bin/chromedriver") driver = webdriver.Chrome( - executable_path=chromium_driver_path + service=ChromeDriverService(str(chromium_driver_path)) if chromium_driver_path.exists() - else ChromeDriverManager().install(), + else ChromeDriverService(ChromeDriverManager().install()), options=options, ) driver.get(url) diff --git a/tests/integration/goal_oriented/test_browse_website.py b/tests/integration/goal_oriented/test_browse_website.py index ca433d80f99..9d2feffafa4 100644 --- a/tests/integration/goal_oriented/test_browse_website.py +++ b/tests/integration/goal_oriented/test_browse_website.py @@ -1,7 +1,6 @@ import pytest from autogpt.agent import Agent -from autogpt.commands.file_operations import read_file from tests.integration.agent_utils import run_interaction_loop from tests.utils import requires_api_key @@ -14,5 +13,5 @@ def test_browse_website(browser_agent: Agent) -> None: run_interaction_loop(browser_agent, 120) # catch system exit exceptions except SystemExit: # the agent returns an exception when it shuts down - content = read_file(file_path) + content = open(file_path, encoding="utf-8").read() assert "£25.89" in content, f"Expected £25.89, got {content}" diff --git a/tests/integration/test_json_file_memory.py b/tests/integration/test_json_file_memory.py index 056380f7e98..29219f1658e 100644 --- a/tests/integration/test_json_file_memory.py +++ b/tests/integration/test_json_file_memory.py @@ -117,7 +117,7 @@ def test_json_memory_get_relevant(config: Config) -> None: mem2 = MemoryItem.from_text_file("Grocery list:\n- Pancake mix", "groceries.txt") mem3 = MemoryItem.from_text_file("What is your favorite color?", "color.txt") lipsum = "Lorem ipsum dolor sit amet" - mem4 = MemoryItem.from_text_file(" ".join([lipsum]*100), "lipsum.txt") + mem4 = MemoryItem.from_text_file(" ".join([lipsum] * 100), "lipsum.txt") index.add(mem1) index.add(mem2) index.add(mem3) diff --git a/tests/integration/test_plugins.py b/tests/integration/test_plugins.py index 533c72b3e4b..d5f62cca5a6 100644 --- a/tests/integration/test_plugins.py +++ b/tests/integration/test_plugins.py @@ -1,9 +1,7 @@ import pytest from autogpt.config import Config -from autogpt.plugins import ( - scan_plugins, -) +from autogpt.plugins import scan_plugins PLUGINS_TEST_DIR = "tests/unit/data/test_plugins" PLUGIN_TEST_OPENAI = "https://weathergpt.vercel.app/" diff --git a/tests/unit/test_plugins.py b/tests/unit/test_plugins.py index 769bac30c5d..885ec4c3318 100644 --- a/tests/unit/test_plugins.py +++ b/tests/unit/test_plugins.py @@ -1,10 +1,7 @@ import pytest from autogpt.config import Config -from autogpt.plugins import ( - denylist_allowlist_check, - inspect_zip_for_modules, -) +from autogpt.plugins import denylist_allowlist_check, inspect_zip_for_modules PLUGINS_TEST_DIR = "tests/unit/data/test_plugins" PLUGIN_TEST_ZIP_FILE = "Auto-GPT-Plugin-Test-master.zip" From 9d8c14227cc79487de0dfb5792010569f33210d8 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 15 May 2023 17:53:10 +0200 Subject: [PATCH 13/54] Fix import warnings in web_selenium.py --- autogpt/commands/web_selenium.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index 18ea53197bd..e09f2b5cd82 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -4,18 +4,20 @@ import logging from pathlib import Path from sys import platform -from typing import Optional +from typing import Optional, Type from bs4 import BeautifulSoup -from selenium import webdriver from selenium.common.exceptions import WebDriverException from selenium.webdriver.chrome.options import Options as ChromeOptions from selenium.webdriver.chrome.service import Service as ChromeDriverService +from selenium.webdriver.chrome.webdriver import WebDriver as ChromeDriver from selenium.webdriver.common.by import By from selenium.webdriver.firefox.options import Options as FirefoxOptions from selenium.webdriver.firefox.service import Service as GeckoDriverService +from selenium.webdriver.firefox.webdriver import WebDriver as FirefoxDriver from selenium.webdriver.remote.webdriver import WebDriver from selenium.webdriver.safari.options import Options as SafariOptions +from selenium.webdriver.safari.webdriver import WebDriver as SafariDriver from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.support.wait import WebDriverWait from webdriver_manager.chrome import ChromeDriverManager @@ -29,6 +31,8 @@ from autogpt.processing.text import summarize_text from autogpt.url_utils.validators import validate_url +BrowserOptions = ChromeOptions | FirefoxOptions | SafariOptions + FILE_DIR = Path(__file__).parent.parent CFG = Config() @@ -79,13 +83,13 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]: """ logging.getLogger("selenium").setLevel(logging.CRITICAL) - options_available = { + options_available: dict[str, Type[BrowserOptions]] = { "chrome": ChromeOptions, "safari": SafariOptions, "firefox": FirefoxOptions, } - options = options_available[CFG.selenium_web_browser]() + options: BrowserOptions = options_available[CFG.selenium_web_browser]() options.add_argument( "user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.5615.49 Safari/537.36" ) @@ -94,13 +98,13 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]: if CFG.selenium_headless: options.headless = True options.add_argument("--disable-gpu") - driver = webdriver.Firefox( + driver = FirefoxDriver( service=GeckoDriverService(GeckoDriverManager().install()), options=options ) elif CFG.selenium_web_browser == "safari": # Requires a bit more setup on the users end # See https://developer.apple.com/documentation/webkit/testing_with_webdriver_in_safari - driver = webdriver.Safari(options=options) + driver = SafariDriver(options=options) else: if platform == "linux" or platform == "linux2": options.add_argument("--disable-dev-shm-usage") @@ -113,7 +117,7 @@ def scrape_text_with_selenium(url: str) -> tuple[WebDriver, str]: chromium_driver_path = Path("/usr/bin/chromedriver") - driver = webdriver.Chrome( + driver = ChromeDriver( service=ChromeDriverService(str(chromium_driver_path)) if chromium_driver_path.exists() else ChromeDriverService(ChromeDriverManager().install()), From 32e119ece6cc1a16fc7d111049b94a71aa980bcd Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 15 May 2023 17:55:34 +0200 Subject: [PATCH 14/54] Remove `memory_add` ghost command --- autogpt/app.py | 26 +++++++++++--------------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/autogpt/app.py b/autogpt/app.py index 18ad781af76..c4a25638c87 100644 --- a/autogpt/app.py +++ b/autogpt/app.py @@ -113,24 +113,20 @@ def execute_command( # TODO: Remove commands below after they are moved to the command registry. command_name = map_command_synonyms(command_name.lower()) - if command_name == "memory_add": - return get_memory(CFG).add(arguments["string"]) - # TODO: Change these to take in a file rather than pasted code, if # non-file is given, return instructions "Input should be a python # filepath, write your code to file and try again - else: - for command in prompt.commands: - if ( - command_name == command["label"].lower() - or command_name == command["name"].lower() - ): - return command["function"](**arguments) - return ( - f"Unknown command '{command_name}'. Please refer to the 'COMMANDS'" - " list for available commands and only respond in the specified JSON" - " format." - ) + for command in prompt.commands: + if ( + command_name == command["label"].lower() + or command_name == command["name"].lower() + ): + return command["function"](**arguments) + return ( + f"Unknown command '{command_name}'. Please refer to the 'COMMANDS'" + " list for available commands and only respond in the specified JSON" + " format." + ) except Exception as e: return f"Error: {str(e)}" From ca3d515f5f1c9ae4242bcde76efeafd985d8c8c6 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 15 May 2023 18:39:09 +0200 Subject: [PATCH 15/54] Fix memory usage in file operations --- autogpt/commands/file_operations.py | 51 ++++++++++++++--------------- autogpt/commands/web_selenium.py | 2 +- autogpt/processing/text.py | 2 +- 3 files changed, 27 insertions(+), 28 deletions(-) diff --git a/autogpt/commands/file_operations.py b/autogpt/commands/file_operations.py index 448fee4cfb2..01319ab3dfb 100644 --- a/autogpt/commands/file_operations.py +++ b/autogpt/commands/file_operations.py @@ -4,7 +4,7 @@ import hashlib import os import os.path -from typing import Dict, Generator, Literal, Tuple +from typing import Generator, Literal import charset_normalizer import requests @@ -14,7 +14,7 @@ from autogpt.commands.command import command from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory.context import ContextMemory +from autogpt.memory.context import ContextMemory, MemoryItem from autogpt.spinner import Spinner from autogpt.utils import readable_file_size @@ -28,7 +28,9 @@ def text_checksum(text: str) -> str: return hashlib.md5(text.encode("utf-8")).hexdigest() -def operations_from_log(log_path: str) -> Generator[tuple[Operation, str, str | None]]: +def operations_from_log( + log_path: str, +) -> Generator[tuple[Operation, str, str | None], None, None]: """Parse the file operations log and return a tuple containing the log entries""" try: log = open(log_path, "r", encoding="utf-8") @@ -45,6 +47,7 @@ def operations_from_log(log_path: str) -> Generator[tuple[Operation, str, str | try: path, checksum = (x.strip() for x in tail.rsplit(" #", maxsplit=1)) except ValueError: + logger.warn(f"File log entry lacks checksum: '{line}'") path, checksum = tail.strip(), None yield (operation, path, checksum) elif operation == "delete": @@ -53,7 +56,7 @@ def operations_from_log(log_path: str) -> Generator[tuple[Operation, str, str | log.close() -def file_operations_state(log_path: str) -> Dict: +def file_operations_state(log_path: str) -> dict[str, str]: """Iterates over the operations log and returns the expected state. Parses a log file at CFG.file_logger_path to construct a dictionary that maps @@ -158,7 +161,14 @@ def read_file(filename: str) -> str: charset_match = charset_normalizer.from_path(filename).best() encoding = charset_match.encoding logger.debug(f"Read file '{filename}' with encoding '{encoding}'") - return str(charset_match) + content = str(charset_match) + + # TODO: invalidate/update memory when file is edited + file_memory = MemoryItem.from_text_file(content, filename) + if len(file_memory.e_chunks) > 1: + return file_memory.summary + + return content except Exception as err: return f"Error: {err}" @@ -166,38 +176,27 @@ def read_file(filename: str) -> str: def ingest_file( filename: str, memory: ContextMemory, - max_length: int = 4000, - overlap: int = 200, ) -> None: """ Ingest a file by reading its content, splitting it into chunks with a specified maximum length and overlap, and adding the chunks to the memory storage. - :param filename: The name of the file to ingest - :param memory: An object with an add() method to store the chunks in memory - :param max_length: The maximum length of each chunk, default is 4000 - :param overlap: The number of overlapping characters between chunks, default is 200 + Args: + filename: The name of the file to ingest + memory: An object with an add() method to store the chunks in memory """ try: - logger.info(f"Working with file {filename}") + logger.info(f"Ingesting file {filename}") content = read_file(filename) - content_length = len(content) - logger.info(f"File length: {content_length} characters") - - chunks = list(split_file(content, max_length=max_length, overlap=overlap)) - - num_chunks = len(chunks) - for i, chunk in enumerate(chunks): - logger.info(f"Ingesting chunk {i + 1} / {num_chunks} into memory") - memory_to_add = ( - f"Filename: {filename}\n" f"Content part#{i + 1}/{num_chunks}: {chunk}" - ) - memory.add(memory_to_add) + # TODO: differentiate between different types of files + file_memory = MemoryItem.from_text_file(content, filename) + logger.debug(f"Created memory: {file_memory}") + memory.add(file_memory) - logger.info(f"Done ingesting {num_chunks} chunks from {filename}.") + logger.info(f"Ingested {len(file_memory.e_chunks)} chunks from {filename}") except Exception as err: - logger.info(f"Error while ingesting file '{filename}': {err}") + logger.warn(f"Error while ingesting file '{filename}': {err}") @command("write_to_file", "Write to file", '"filename": "", "text": ""') diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index e09f2b5cd82..8a1ed3877b7 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -215,7 +215,7 @@ def summarize_memorize_webpage( memory = get_memory(CFG) if isinstance(memory, NoMemory): - summary, chunks = summarize_text(text, question=question) + summary, _ = summarize_text(text, question=question) return summary new_memory = MemoryItem.from_webpage(text, url, question=question) diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index fb1c77226ef..dbed178c911 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -158,7 +158,7 @@ def split_text( Raises: ValueError: when a sentence is longer than the maximum length """ - max_length = max_chunk_length or _max_chunk_length(for_model) + max_length = _max_chunk_length(for_model, max_chunk_length) # flatten paragraphs to improve performance text = text.replace("\n", " ") From aa8e41688a617fdc9064870fee4770270ea78922 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 15 May 2023 19:25:09 +0200 Subject: [PATCH 16/54] Implement overlap in `split_text` --- autogpt/processing/text.py | 44 ++++++++++++++++++++++++++++++-------- 1 file changed, 35 insertions(+), 9 deletions(-) diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index dbed178c911..3339fb3da76 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -1,6 +1,6 @@ """Text processing functions""" from math import ceil -from typing import Dict, Generator, Optional +from typing import Optional import spacy import tiktoken @@ -143,6 +143,7 @@ def summarize_text( def split_text( text: str, for_model: str = CFG.fast_llm_model, + with_overlap=True, max_chunk_length: Optional[int] = None, ): """Split text into chunks of sentences, with each chunk not exceeding the maximum length @@ -178,6 +179,8 @@ def split_text( current_chunk: list[str] = [] current_chunk_length = 0 + last_sentence = None + last_sentence_length = 0 i = 0 while i < len(sentences): @@ -185,9 +188,8 @@ def split_text( sentence_length = count_string_tokens(sentence, for_model) expected_chunk_length = current_chunk_length + 1 + sentence_length - # TODO: implement overlap if ( - expected_chunk_length <= max_length + expected_chunk_length < max_length # try to create chunks of approximately equal size and expected_chunk_length - (sentence_length / 2) < target_chunk_length ): @@ -195,18 +197,42 @@ def split_text( current_chunk_length = expected_chunk_length elif sentence_length < max_length: - yield " ".join(current_chunk), current_chunk_length - - current_chunk = [sentence] - current_chunk_length = sentence_length - - else: # sentence longer than maximum length + if last_sentence: + yield " ".join(current_chunk), current_chunk_length + current_chunk = [] + current_chunk_length = 0 + + if with_overlap: + overlap_max_length = max_length - sentence_length - 1 + if last_sentence_length < overlap_max_length: + current_chunk += [last_sentence] + current_chunk_length += last_sentence_length + 1 + elif overlap_max_length > 5: + # add as much from the end of the last sentence as fits + current_chunk += [ + list( + chunk_content( + last_sentence, + for_model, + overlap_max_length, + ) + ).pop()[0], + ] + current_chunk_length += overlap_max_length + 1 + + current_chunk += [sentence] + current_chunk_length += sentence_length + + else: # sentence longer than maximum length -> chop up and try again sentences[i : i + 1] = [ chunk for chunk, _ in chunk_content(sentence, for_model, target_chunk_length) ] continue + i += 1 + last_sentence = sentence + last_sentence_length = sentence_length if current_chunk: yield " ".join(current_chunk), current_chunk_length From 56c8f5323748e4e662ab96e581beb157efe3c1c0 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Mon, 15 May 2023 23:15:02 +0200 Subject: [PATCH 17/54] Add MemoryItemRelevance class --- autogpt/memory/context/__init__.py | 3 +- autogpt/memory/context/memory_item.py | 75 ++++++++++++++++--- autogpt/memory/context/providers/abstract.py | 6 +- autogpt/memory/context/providers/json_file.py | 23 +++--- 4 files changed, 83 insertions(+), 24 deletions(-) diff --git a/autogpt/memory/context/__init__.py b/autogpt/memory/context/__init__.py index 75e5bb6e99f..44df788bb48 100644 --- a/autogpt/memory/context/__init__.py +++ b/autogpt/memory/context/__init__.py @@ -1,7 +1,7 @@ from autogpt.config import Config from autogpt.logs import logger -from .memory_item import MemoryItem +from .memory_item import MemoryItem, MemoryItemRelevance from .providers import ContextMemoryProvider as ContextMemory from .providers.json_file import JSONFileMemory from .providers.no_memory import NoMemory @@ -105,6 +105,7 @@ def get_supported_memory_backends(): __all__ = [ "get_memory", "MemoryItem", + "MemoryItemRelevance", "ContextMemory", "JSONFileMemory", "NoMemory", diff --git a/autogpt/memory/context/memory_item.py b/autogpt/memory/context/memory_item.py index 9995ecd833f..1d6149468ff 100644 --- a/autogpt/memory/context/memory_item.py +++ b/autogpt/memory/context/memory_item.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import dataclasses import json from typing import Literal @@ -22,18 +24,12 @@ class MemoryItem: raw_content: str summary: str e_summary: Embedding + chunks: list[str] e_chunks: list[Embedding] metadata: dict - def relevance(self, compare_to: Embedding): - summary_relevance = np.dot(self.e_summary, compare_to) - chunk_relevances = np.dot(self.e_chunks, compare_to) - logger.debug(f"Relevance of summary: {summary_relevance}") - logger.debug(f"Relevance of chunks: {chunk_relevances}") - - relevance_scores = [summary_relevance, *chunk_relevances] - logger.debug(f"Relevance scores: {relevance_scores}") - return max(relevance_scores) + def relevance_for(self, query: str, e_query: Embedding | None = None): + return MemoryItemRelevance.of(self, query, e_query) @staticmethod def from_text( @@ -92,6 +88,7 @@ def from_text( text, summary, e_summary, + chunks, e_chunks, metadata=metadata, ) @@ -158,3 +155,63 @@ def __str__(self) -> str: {self.raw_content} ========================================== """ + + +@dataclasses.dataclass +class MemoryItemRelevance: + """ + Class that encapsulates memory relevance search functionality and data. + Instances contain a MemoryItem and its relevance scores for a given query. + """ + memory_item: MemoryItem + for_query: str + summary_relevance_score: float + chunk_relevance_scores: list[float] + + @staticmethod + def of( + memory_item: MemoryItem, for_query: str, e_query: Embedding | None = None + ) -> MemoryItemRelevance: + e_query = e_query or get_embedding(for_query) + _, srs, crs = MemoryItemRelevance.calculate_scores(memory_item, e_query) + return MemoryItemRelevance( + for_query=for_query, + memory_item=memory_item, + summary_relevance_score=srs, + chunk_relevance_scores=crs, + ) + + @staticmethod + def calculate_scores( + memory: MemoryItem, compare_to: Embedding + ) -> tuple[float, float, list[float]]: + """ + Calculates similarity between given embedding and all embeddings of the memory + + Returns: + float: the aggregate (max) relevance score of the memory + float: the relevance score of the memory summary + list: the relevance scores of the memory chunks + """ + summary_relevance_score = np.dot(memory.e_summary, compare_to) + chunk_relevance_scores = np.dot(memory.e_chunks, compare_to) + logger.debug(f"Relevance of summary: {summary_relevance_score}") + logger.debug(f"Relevance of chunks: {chunk_relevance_scores}") + + relevance_scores = [summary_relevance_score, *chunk_relevance_scores] + logger.debug(f"Relevance scores: {relevance_scores}") + return max(relevance_scores), summary_relevance_score, chunk_relevance_scores + + @property + def score(self) -> float: + """The aggregate relevance score of the memory item for the given query""" + return max([self.summary_relevance_score, *self.chunk_relevance_scores]) + + @property + def most_relevant_chunk(self) -> tuple[str, float]: + """The most relevant chunk of the memory item + its score for the given query""" + i_relmax = np.argmax(self.chunk_relevance_scores) + return self.memory_item.chunks[i_relmax], self.chunk_relevance_scores[i_relmax] + + def __str___(self): + return f"({self.summary_relevance_score}) {self.chunk_relevance_scores}" diff --git a/autogpt/memory/context/providers/abstract.py b/autogpt/memory/context/providers/abstract.py index e724f4f477a..92865fba0b2 100644 --- a/autogpt/memory/context/providers/abstract.py +++ b/autogpt/memory/context/providers/abstract.py @@ -1,6 +1,6 @@ import abc -from autogpt.memory.context import MemoryItem +from autogpt.memory.context import MemoryItem, MemoryItemRelevance from autogpt.singleton import AbstractSingleton @@ -11,12 +11,12 @@ def add(self, item: MemoryItem): pass @abc.abstractmethod - def get(self, query: str) -> MemoryItem | None: + def get(self, query: str) -> MemoryItemRelevance | None: """Gets an item from memory based on the query""" pass @abc.abstractmethod - def get_relevant(self, query: str, num_relevant=5) -> list[MemoryItem]: + def get_relevant(self, query: str, num_relevant=5) -> list[MemoryItemRelevance]: """Gets relevant memory items for the query""" pass diff --git a/autogpt/memory/context/providers/json_file.py b/autogpt/memory/context/providers/json_file.py index 6b87a6c3109..6f359e7cc35 100644 --- a/autogpt/memory/context/providers/json_file.py +++ b/autogpt/memory/context/providers/json_file.py @@ -9,7 +9,7 @@ from autogpt.config import Config from autogpt.logs import logger -from ..memory_item import MemoryItem +from ..memory_item import MemoryItem, MemoryItemRelevance from ..utils import Embedding, get_embedding from .abstract import ContextMemoryProvider @@ -44,7 +44,7 @@ def add(self, item: MemoryItem): self.save_index() return len(self.memories) - def get(self, query: str) -> MemoryItem | None: + def get(self, query: str) -> MemoryItemRelevance | None: """ Gets the data from the memory that is most relevant to the given query. @@ -56,15 +56,16 @@ def get(self, query: str) -> MemoryItem | None: result = self.get_relevant(query, 1) return result[0] if result else None - def get_relevant(self, query: str, k: int) -> list[MemoryItem]: + def get_relevant(self, query: str, k: int) -> list[MemoryItemRelevance]: """ Returns the top-k most relevant memories for the given query Args: - text: str - k: int + query: the query to compare stored memories to + k: the number of relevant memories to fetch - Returns: list[Memory] containing the top [k] relevant memories + Returns: + list[MemoryItemRelevance] containing the top [k] relevant memories """ if len(self.memories) < 1: return [] @@ -73,13 +74,13 @@ def get_relevant(self, query: str, k: int) -> list[MemoryItem]: logger.debug(f"Searching for {k} relevant items; {len(self.memories)} in index") - scores: list[float] = [m.relevance(e_query) for m in self.memories] - # scores: list[float] = np.dot([m.e for m in self.memories], e_query) - logger.debug(f"Memory match scores: {scores}") + relevances = [m.relevance_for(query, e_query) for m in self.memories] + logger.debug(f"Memory match scores: {relevances}") - top_k_indices = np.argsort(scores)[-k:][::-1] # take last 5 items and reverse + # take last k items and reverse + top_k_indices = np.argsort([r.score for r in relevances])[-k:][::-1] - return [self.memories[i] for i in top_k_indices] + return [relevances[i] for i in top_k_indices] def get_stats(self) -> tuple[int, int]: """ From 1f31bdd30313ae27887bd428a0be210299dceb88 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Tue, 16 May 2023 01:07:57 +0200 Subject: [PATCH 18/54] Further abstract memory storage and retrieval --- autogpt/memory/context/memory_item.py | 1 + autogpt/memory/context/providers/abstract.py | 75 +++++++++++++------ autogpt/memory/context/providers/json_file.py | 68 +++++------------ tests/integration/test_json_file_memory.py | 9 ++- 4 files changed, 75 insertions(+), 78 deletions(-) diff --git a/autogpt/memory/context/memory_item.py b/autogpt/memory/context/memory_item.py index 1d6149468ff..99605e6b2b2 100644 --- a/autogpt/memory/context/memory_item.py +++ b/autogpt/memory/context/memory_item.py @@ -163,6 +163,7 @@ class MemoryItemRelevance: Class that encapsulates memory relevance search functionality and data. Instances contain a MemoryItem and its relevance scores for a given query. """ + memory_item: MemoryItem for_query: str summary_relevance_score: float diff --git a/autogpt/memory/context/providers/abstract.py b/autogpt/memory/context/providers/abstract.py index 92865fba0b2..8584032a2e8 100644 --- a/autogpt/memory/context/providers/abstract.py +++ b/autogpt/memory/context/providers/abstract.py @@ -1,31 +1,58 @@ import abc +import functools +from typing import MutableSet +import numpy as np + +from autogpt.logs import logger from autogpt.memory.context import MemoryItem, MemoryItemRelevance +from autogpt.memory.context.utils import Embedding, get_embedding from autogpt.singleton import AbstractSingleton -class ContextMemoryProvider(AbstractSingleton): - @abc.abstractmethod - def add(self, item: MemoryItem): - """Adds a MemoryItem to the memory index""" - pass - - @abc.abstractmethod +class ContextMemoryProvider(MutableSet[MemoryItem], AbstractSingleton): def get(self, query: str) -> MemoryItemRelevance | None: - """Gets an item from memory based on the query""" - pass - - @abc.abstractmethod - def get_relevant(self, query: str, num_relevant=5) -> list[MemoryItemRelevance]: - """Gets relevant memory items for the query""" - pass - - @abc.abstractmethod - def clear(self) -> None: - """Clears memory""" - pass - - @abc.abstractmethod - def get_stats(self): - """Get stats from memory""" - pass + """ + Gets the data from the memory that is most relevant to the given query. + + Args: + data: The data to compare to. + + Returns: The most relevant Memory + """ + result = self.get_relevant(query, 1) + return result[0] if result else None + + def get_relevant(self, query: str, k: int) -> list[MemoryItemRelevance]: + """ + Returns the top-k most relevant memories for the given query + + Args: + query: the query to compare stored memories to + k: the number of relevant memories to fetch + + Returns: + list[MemoryItemRelevance] containing the top [k] relevant memories + """ + if len(self) < 1: + return [] + + e_query: Embedding = get_embedding(query) + + logger.debug(f"Searching for {k} relevant items; {len(self)} in index") + + relevances = [m.relevance_for(query, e_query) for m in self] + logger.debug(f"Memory match scores: {relevances}") + + # take last k items and reverse + top_k_indices = np.argsort([r.score for r in relevances])[-k:][::-1] + + return [relevances[i] for i in top_k_indices] + + def get_stats(self) -> tuple[int, int]: + """ + Returns: The stats of the memory in a tuple (n_memories, n_chunks) + """ + return len(self), functools.reduce( + lambda t, m: t + len(m.e_chunks), self, 0 + ) diff --git a/autogpt/memory/context/providers/json_file.py b/autogpt/memory/context/providers/json_file.py index 6f359e7cc35..d69c541b64b 100644 --- a/autogpt/memory/context/providers/json_file.py +++ b/autogpt/memory/context/providers/json_file.py @@ -1,16 +1,15 @@ from __future__ import annotations -import functools from pathlib import Path +from typing import Iterator -import numpy as np import orjson from autogpt.config import Config from autogpt.logs import logger +from autogpt.memory.context.memory_item import MemoryItem -from ..memory_item import MemoryItem, MemoryItemRelevance -from ..utils import Embedding, get_embedding +from ..memory_item import MemoryItem from .abstract import ContextMemoryProvider @@ -39,60 +38,29 @@ def __init__(self, cfg: Config) -> None: self.memories = [] self.save_index() + def __iter__(self) -> Iterator[MemoryItem]: + return iter(self.memories) + + def __contains__(self, x: MemoryItem) -> bool: + return x in self.memories + + def __len__(self) -> int: + return len(self.memories) + def add(self, item: MemoryItem): self.memories.append(item) self.save_index() return len(self.memories) - def get(self, query: str) -> MemoryItemRelevance | None: - """ - Gets the data from the memory that is most relevant to the given query. - - Args: - data: The data to compare to. - - Returns: The most relevant Memory - """ - result = self.get_relevant(query, 1) - return result[0] if result else None - - def get_relevant(self, query: str, k: int) -> list[MemoryItemRelevance]: - """ - Returns the top-k most relevant memories for the given query - - Args: - query: the query to compare stored memories to - k: the number of relevant memories to fetch - - Returns: - list[MemoryItemRelevance] containing the top [k] relevant memories - """ - if len(self.memories) < 1: - return [] - - e_query: Embedding = get_embedding(query) - - logger.debug(f"Searching for {k} relevant items; {len(self.memories)} in index") - - relevances = [m.relevance_for(query, e_query) for m in self.memories] - logger.debug(f"Memory match scores: {relevances}") - - # take last k items and reverse - top_k_indices = np.argsort([r.score for r in relevances])[-k:][::-1] - - return [relevances[i] for i in top_k_indices] - - def get_stats(self) -> tuple[int, int]: - """ - Returns: The stats of the local cache in a tuple (n_memories, n_chunks) - """ - return len(self.memories), functools.reduce( - lambda t, m: t + len(m.e_chunks), self.memories, 0 - ) + def discard(self, item: MemoryItem): + try: + self.remove(item) + except: + pass def clear(self): """Clears the data in memory.""" - self.memories = [] + self.memories.clear() self.save_index() def save_index(self): diff --git a/tests/integration/test_json_file_memory.py b/tests/integration/test_json_file_memory.py index 29219f1658e..174097bc9d6 100644 --- a/tests/integration/test_json_file_memory.py +++ b/tests/integration/test_json_file_memory.py @@ -41,6 +41,7 @@ def memory_item(mock_embedding: Embedding): raw_content="test content", summary="test content summary", e_summary=mock_embedding, + chunks=["test content"], e_chunks=[mock_embedding], metadata={}, ) @@ -123,10 +124,10 @@ def test_json_memory_get_relevant(config: Config) -> None: index.add(mem3) index.add(mem4) - assert index.get_relevant(mem1.raw_content, 1)[0] == mem1 - assert index.get_relevant(mem2.raw_content, 1)[0] == mem2 - assert index.get_relevant(mem3.raw_content, 1)[0] == mem3 - assert index.get_relevant(lipsum, 2) == [mem4, mem1] + assert index.get_relevant(mem1.raw_content, 1)[0].memory_item == mem1 + assert index.get_relevant(mem2.raw_content, 1)[0].memory_item == mem2 + assert index.get_relevant(mem3.raw_content, 1)[0].memory_item == mem3 + assert [mr.memory_item for mr in index.get_relevant(lipsum, 2)] == [mem4, mem1] def test_json_memory_get_stats(config: Config, memory_item: MemoryItem) -> None: From 3d9a89f654c814cc4c0bc35796e5642acd2fee30 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Tue, 16 May 2023 01:22:34 +0200 Subject: [PATCH 19/54] Fix memory.get_relevant debug logging --- autogpt/memory/context/memory_item.py | 7 +++++-- autogpt/memory/context/providers/abstract.py | 2 +- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/autogpt/memory/context/memory_item.py b/autogpt/memory/context/memory_item.py index 99605e6b2b2..4d06de10d42 100644 --- a/autogpt/memory/context/memory_item.py +++ b/autogpt/memory/context/memory_item.py @@ -214,5 +214,8 @@ def most_relevant_chunk(self) -> tuple[str, float]: i_relmax = np.argmax(self.chunk_relevance_scores) return self.memory_item.chunks[i_relmax], self.chunk_relevance_scores[i_relmax] - def __str___(self): - return f"({self.summary_relevance_score}) {self.chunk_relevance_scores}" + def __str__(self): + return ( + f"{self.memory_item.summary} ({self.summary_relevance_score}) " + f"{self.chunk_relevance_scores}" + ) diff --git a/autogpt/memory/context/providers/abstract.py b/autogpt/memory/context/providers/abstract.py index 8584032a2e8..ba22bae158c 100644 --- a/autogpt/memory/context/providers/abstract.py +++ b/autogpt/memory/context/providers/abstract.py @@ -42,7 +42,7 @@ def get_relevant(self, query: str, k: int) -> list[MemoryItemRelevance]: logger.debug(f"Searching for {k} relevant items; {len(self)} in index") relevances = [m.relevance_for(query, e_query) for m in self] - logger.debug(f"Memory match scores: {relevances}") + logger.debug(f"Memory match scores: {[str(r) for r in relevances]}") # take last k items and reverse top_k_indices = np.argsort([r.score for r in relevances])[-k:][::-1] From 288ad0e74d7ff3d92bd8dac4ebf6cf095b48df45 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Tue, 16 May 2023 01:39:26 +0200 Subject: [PATCH 20/54] Abstract memory relevance scoring in ContextMemoryProvider --- autogpt/config/config.py | 2 +- autogpt/memory/context/providers/abstract.py | 31 +++++++++++++------- 2 files changed, 21 insertions(+), 12 deletions(-) diff --git a/autogpt/config/config.py b/autogpt/config/config.py index e533ee6f89b..f445cf0fd81 100644 --- a/autogpt/config/config.py +++ b/autogpt/config/config.py @@ -129,7 +129,7 @@ def __init__(self) -> None: ) self.redis_host = os.getenv("REDIS_HOST", "localhost") - self.redis_port = os.getenv("REDIS_PORT", "6379") + self.redis_port = int(os.getenv("REDIS_PORT", "6379")) self.redis_password = os.getenv("REDIS_PASSWORD", "") self.wipe_redis_on_start = os.getenv("WIPE_REDIS_ON_START", "True") == "True" self.memory_index = os.getenv("MEMORY_INDEX", "auto-gpt") diff --git a/autogpt/memory/context/providers/abstract.py b/autogpt/memory/context/providers/abstract.py index ba22bae158c..4ff24ce1230 100644 --- a/autogpt/memory/context/providers/abstract.py +++ b/autogpt/memory/context/providers/abstract.py @@ -1,6 +1,5 @@ -import abc import functools -from typing import MutableSet +from typing import MutableSet, Sequence import numpy as np @@ -37,22 +36,32 @@ def get_relevant(self, query: str, k: int) -> list[MemoryItemRelevance]: if len(self) < 1: return [] - e_query: Embedding = get_embedding(query) - - logger.debug(f"Searching for {k} relevant items; {len(self)} in index") + logger.debug( + f"Searching for {k} relevant memories for query '{query}'; " + f"{len(self)} memories in index" + ) - relevances = [m.relevance_for(query, e_query) for m in self] - logger.debug(f"Memory match scores: {[str(r) for r in relevances]}") + relevances = self.score_memories_for_relevance(query) + logger.debug(f"Memory relevance scores: {[str(r) for r in relevances]}") # take last k items and reverse top_k_indices = np.argsort([r.score for r in relevances])[-k:][::-1] return [relevances[i] for i in top_k_indices] + def score_memories_for_relevance( + self, for_query: str + ) -> Sequence[MemoryItemRelevance]: + """ + Returns MemoryItemRelevance for every memory in the index. + Implementations may override this function for performance purposes. + """ + e_query: Embedding = get_embedding(for_query) + return [m.relevance_for(for_query, e_query) for m in self] + def get_stats(self) -> tuple[int, int]: """ - Returns: The stats of the memory in a tuple (n_memories, n_chunks) + Returns: + tuple (n_memories: int, n_chunks: int): the stats of the memory index """ - return len(self), functools.reduce( - lambda t, m: t + len(m.e_chunks), self, 0 - ) + return len(self), functools.reduce(lambda t, m: t + len(m.e_chunks), self, 0) From 82daf341bc7fb54fef6e27d4a5809e0a2f63e363 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Tue, 16 May 2023 05:07:08 +0200 Subject: [PATCH 21/54] MemoryItem retrofit for Redis backend --- autogpt/memory/context/memory_item.py | 6 +- autogpt/memory/context/providers/abstract.py | 2 +- autogpt/memory/context/providers/redis.py | 217 ++++++++++++------- autogpt/memory/context/utils.py | 4 +- 4 files changed, 151 insertions(+), 78 deletions(-) diff --git a/autogpt/memory/context/memory_item.py b/autogpt/memory/context/memory_item.py index 4d06de10d42..052dfcb19e9 100644 --- a/autogpt/memory/context/memory_item.py +++ b/autogpt/memory/context/memory_item.py @@ -23,8 +23,9 @@ class MemoryItem: raw_content: str summary: str - e_summary: Embedding chunks: list[str] + chunk_summaries: list[str] + e_summary: Embedding e_chunks: list[Embedding] metadata: dict @@ -87,8 +88,9 @@ def from_text( return MemoryItem( text, summary, - e_summary, chunks, + chunk_summaries, + e_summary, e_chunks, metadata=metadata, ) diff --git a/autogpt/memory/context/providers/abstract.py b/autogpt/memory/context/providers/abstract.py index 4ff24ce1230..5029c717fb2 100644 --- a/autogpt/memory/context/providers/abstract.py +++ b/autogpt/memory/context/providers/abstract.py @@ -22,7 +22,7 @@ def get(self, query: str) -> MemoryItemRelevance | None: result = self.get_relevant(query, 1) return result[0] if result else None - def get_relevant(self, query: str, k: int) -> list[MemoryItemRelevance]: + def get_relevant(self, query: str, k: int) -> Sequence[MemoryItemRelevance]: """ Returns the top-k most relevant memories for the given query diff --git a/autogpt/memory/context/providers/redis.py b/autogpt/memory/context/providers/redis.py index b2692266c0f..0ad2959abe2 100644 --- a/autogpt/memory/context/providers/redis.py +++ b/autogpt/memory/context/providers/redis.py @@ -1,18 +1,18 @@ """Redis memory provider.""" from __future__ import annotations -from typing import Any +from typing import Any, Iterator -import numpy as np import redis from colorama import Fore, Style from redis.commands.json.commands import JSONCommands -from redis.commands.search.field import Field, TextField, VectorField +from redis.commands.search.field import TextField, VectorField from redis.commands.search.indexDefinition import IndexDefinition, IndexType from redis.commands.search.query import Query from autogpt.config import Config from autogpt.logs import logger +from autogpt.memory.context import MemoryItemRelevance from ..memory_item import MemoryItem from ..utils import Embedding, get_embedding @@ -23,18 +23,23 @@ class RedisMemory(ContextMemoryProvider): cfg: Config redis: redis.Redis - dimension: int index_name: str - n_memories: int - """Number of items currently in memory""" + id_seq: int + """Last sequential ID in index""" + @property + def id_seq_key(self): + return f"{self.index_name}-id_seq" + + DIMENSION = 1536 SCHEMA = [ - TextField("raw_content"), + TextField("content"), + TextField("summary"), VectorField( "embedding", "HNSW", - {"TYPE": "FLOAT32", "DIM": 1536, "DISTANCE_METRIC": "IP"}, + {"TYPE": "FLOAT32", "DIM": DIMENSION, "DISTANCE_METRIC": "IP"}, ), ] @@ -57,8 +62,8 @@ def __init__(self, cfg: Config): port=redis_port, password=redis_password, db=0, # Cannot be changed + decode_responses=True, ) - self.dimension = 1536 self.index_name = cfg.memory_index # Check redis connection @@ -81,94 +86,160 @@ def __init__(self, cfg: Config): if cfg.wipe_redis_on_start: self.clear() try: - self.redis.ft(f"{self.index_name}").create_index( + self.redis.ft(self.index_name).create_index( fields=self.SCHEMA, definition=IndexDefinition( prefix=[f"{self.index_name}:"], index_type=IndexType.HASH ), ) except Exception as e: - logger.warn("Error creating Redis search index: ", e) - - n_existing_memories: bytes | None = self.redis.get( - f"{self.index_name}-n_memories" - ) - self.n_memories = ( - int(n_existing_memories.decode("utf-8")) if n_existing_memories else 0 + logger.warn(f"Error creating Redis search index: {e}") + + stored_id_seq: str | None = self.redis.get(self.id_seq_key) + self.id_seq = int(stored_id_seq) if stored_id_seq else 0 + + def __iter__(self) -> Iterator[MemoryItem]: + for hkey in self.redis.keys(f"{self.index_name}:*[0-9]_header"): + meta = self.redis.hget(hkey, "metadata") + memory = self._retrieve(meta["memory_id"]) + if not memory: + continue + yield memory + + def __contains__(self, x: MemoryItem) -> bool: + return bool(self._find(x)) + + def __len__(self) -> int: + return len(self.redis.keys(f"{self.index_name}:*[0-9]_header")) + + def add(self, item: MemoryItem): + id = self._increment_id_seq() + self._set( + f"{id}_header", + item.raw_content, + item.summary, + item.e_summary, + item.metadata | {"memory_id": id}, ) - def add(self, document: str) -> MemoryItem | None: - """ - Adds a data point to the memory. + for j, chunk in enumerate(item.chunks): + self._set( + f"{id}_chunk-{j}", + chunk, + item.chunk_summaries[j], + item.e_chunks[j], + {"memory_id": id, "chunk_pos": j}, + ) - Args: - data: The data to add. + def _set( + self, + key: str, + content: str, + summary: str, + embedding: Embedding, + metadata: dict[str, Any] | None = None, + ): + data_dict = { + "content": content, + "summary": summary, + "embedding": embedding.tobytes(), + "metadata": metadata, + } + + self.redis.hset(f"{self.index_name}:{key}", mapping=data_dict) + logger.debug( + f"Inserting item into Redis collection at key '{key}':\n" + f"summary: {summary}\n" + f"metadata: {metadata}\n" + f"content: {content}" + ) - Returns: Message indicating that the data has been added. - """ - if "Command Error:" in document: + def _retrieve(self, id: int) -> MemoryItem | None: + hkey = f"{self.index_name}:{id}_header" + if not self.redis.exists(hkey): return None - memory = MemoryItem.from_text(document) - - data_dict = {"raw_content": document, "embedding": memory.e_summary.tobytes()} - - pipe = self.redis.pipeline() - pipe.hset(f"{self.index_name}:{self.n_memories}", mapping=data_dict) - logger.debug( - f"Inserting data into memory at index: {self.n_memories}:\n" - f"data: {document}" + header = self.redis.hgetall(hkey) + chunks = [] + for ckey in self.redis.keys(f"{self.index_name}:{id}_chunk-*[0-9]"): + chunks.append(self.redis.hgetall(ckey)) + + return MemoryItem( + raw_content=header["content"], + summary=header["summary"], + metadata=header["metadata"], + e_summary=header["embedding"], + e_chunks=[c["embedding"] for c in chunks], + chunks=[c["content"] for c in chunks], + chunk_summaries=[c["summary"] for c in chunks], ) - self.n_memories += 1 - pipe.set(f"{self.index_name}-n_memories", self.n_memories) - pipe.execute() - return memory - - def get(self, data: str) -> list[Any] | None: - """ - Gets the data from the memory that is most relevant to the given data. - Args: - data: The data to compare to. + def _find(self, item: MemoryItem) -> MemoryItem | None: + results = self.redis.ft(self.index_name).search( + Query("@content:$content").return_field("metadata"), + {"content": item.raw_content}, + ) + if not results.docs: + return None + return self._retrieve(results.docs[0]["metadata"]["memory_id"]) - Returns: The most relevant data. - """ - return self.get_relevant(data, 1) + def _increment_id_seq(self): + self.id_seq = self.redis.incrby(self.id_seq_key) + return self.id_seq - def get_relevant(self, query: str, num_relevant: int = 5) -> list[Any] | None: - """ - Returns all the data in the memory that is relevant to the given data. - Args: - data: The data to compare to. - num_relevant: The number of relevant data to return. + def get_relevant(self, query: str, k: int) -> list[MemoryItemRelevance]: + v_query = get_embedding(query).tobytes() - Returns: A list of the most relevant data. - """ - query_embedding = get_embedding(query) - base_query = f"*=>[KNN {num_relevant} @embedding $vector AS vector_score]" - query = ( - Query(base_query) - .return_fields("raw_content", "vector_score") - .sort_by("vector_score") + base_search_query = f"*=>[KNN @embedding $v_query AS relevance_score]" + search_query = ( + Query(base_search_query) + .return_fields("metadata", "relevance_score") + .sort_by("relevance_score") .dialect(2) ) - query_vector = query_embedding.tobytes() try: - results = self.redis.ft(f"{self.index_name}").search( - query, query_params={"vector": query_vector} + search_result = self.redis.ft(self.index_name).search( + search_query, query_params={"v_query": v_query} ) except Exception as e: - logger.warn("Error calling Redis search: ", e) - return None - return [result.data for result in results.docs] + logger.warn(f"Error calling Redis search: {e}") + return [] + + results: list[MemoryItemRelevance] = [] + result_ids: list[int] = [] + for r in search_result.docs: + id = r["metadata"]["memory_id"] + if id in result_ids: + continue + + pieces = filter( + lambda d: d["metadata"]["memory_id"] == id, search_result.docs + ) + header = next(filter(lambda p: "chunk_pos" not in p["metadata"], pieces)) + chunks = list(filter(lambda p: "chunk_pos" in p["metadata"], pieces)) + chunks.sort(key=lambda c: c["metadata"]["chunk_pos"]) + results.append( + MemoryItemRelevance( + memory_item=self._retrieve(id), + for_query=query, + summary_relevance_score=header["relevance_score"], + chunk_relevance_scores=[cr["relevance_score"] for cr in chunks], + ) + ) + result_ids.append(id) - def get_stats(self): - """ - Returns: The stats of the memory index. - """ - return self.redis.ft(f"{self.index_name}").info() + if len(results) == k: + break + return results + + def discard(self, item: MemoryItem): + if not item.metadata["memory_id"]: + item = self._find(item) + if item: + id = item.metadata["memory_id"] + self.redis.delete(self.redis.keys(f"{self.index_name}:{id}_[hc][eh][au][dn][ek]?*")) def clear(self) -> None: """Clears the Redis database.""" - self.redis.flushall() + self.redis.flushdb() diff --git a/autogpt/memory/context/utils.py b/autogpt/memory/context/utils.py index 486de0316c5..1c43aabbba0 100644 --- a/autogpt/memory/context/utils.py +++ b/autogpt/memory/context/utils.py @@ -1,4 +1,4 @@ -from typing import overload +from typing import Any, overload import numpy as np import numpy.typing as npt @@ -8,7 +8,7 @@ from autogpt.llm.llm_utils import metered, retry_openai_api from autogpt.logs import logger -Embedding = list[np.float32] +Embedding = list[np.float32] | np.ndarray[Any, np.dtype[np.float32]] """Embedding vector""" TText = list[int] """Token array representing text""" From 8a99043d97e7419070887be9980be8a143095a12 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 03:15:45 +0200 Subject: [PATCH 22/54] Move memory tests into subdirectory --- tests/integration/memory/__init__.py | 0 .../test_json_memory_get_relevant.yaml | 2359 +++++++++++++++++ tests/integration/memory/conftest.py | 36 + .../{ => memory}/milvus_memory_tests.py | 0 .../{ => memory}/test_json_file_memory.py | 36 +- tests/integration/memory/test_redis_memory.py | 70 + .../{ => memory}/weaviate_memory_tests.py | 0 7 files changed, 2467 insertions(+), 34 deletions(-) create mode 100644 tests/integration/memory/__init__.py create mode 100644 tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml create mode 100644 tests/integration/memory/conftest.py rename tests/integration/{ => memory}/milvus_memory_tests.py (100%) rename tests/integration/{ => memory}/test_json_file_memory.py (79%) create mode 100644 tests/integration/memory/test_redis_memory.py rename tests/integration/{ => memory}/weaviate_memory_tests.py (100%) diff --git a/tests/integration/memory/__init__.py b/tests/integration/memory/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml b/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml new file mode 100644 index 00000000000..0e40eee7a0d --- /dev/null +++ b/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml @@ -0,0 +1,2359 @@ +interactions: +- request: + body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following + text, covering the topics present in the text and nothing more. If the text + does not contain information, describe the type of text.\n\nText: \"\"\"Sample + text\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": 500}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '303' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SPUUvDMBSF3/0V4Tyn0ta6al6FCXMIwhRBpGRp1l6X5pYmc8PS/y4V2V7P93EO + ZwTVUDBd75LysVnRe/xZZi+b4q1bDa9P6+f10jwc830LCd5+WROhEO0pVoa73tlI7CFhBqujraGy + xV2RZ2lephId19b960mtv8kbStL0ZvZbJmMD1Mf4h6EgNi0FQUFoEfRcLWYgjhRb4VmQ3/HQ6Xnv + GhLka3uCSiUcN/3A2wDlD85J7MhTaKvB6sAeCiFyj+lT4hB0Y6FG9AN3fawi760PUEUpcTlzju8l + IkftzsHtYpqufgEAAP//AwBbx97yMAEAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c6672fd10a63-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:12 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - text-davinci-003 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '1500' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249500' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 120ms + x-request-id: + - d2548891e9d655d681b9ac0683d3613a + status: + code: 200 + message: OK +- request: + body: '{"input": ["Sample text"], "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '90' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWQ+zvJal78+v+PTd0kcBkuDNuWMKYbQZMkCr1QoZSEhIwmADLtV/b5H3qLrq + JlIIUjDeXnutx/6Pf/z119+forqe+7//9dffr0fX//2/5muXU3/6+19//e9//PXXX3/9x+/zf9x5 + rYvr5fJ4l7/bfz8+3pfr+Pe//hL/68r/v+lff/3tJ8svlV+lXVErX4hr86DtGZaqBPGXTM4QWJct + s1/uuu0vFk4A2lFgeIV35sSNKVDv9kVllpCZ/rjpGwtlO8ci2rmTUy7XSbCWZeIRLCirli3MM0b7 + PfhML9vU77yaOzCpzgOPsfou+GDZA7CrHDJHua5Qv45FCvbHrQjWvhQNGcoSWCcSZ3jbaQUv3CiA + nTFe2MY28nYSat1Rq3y5/z1v1V9uJwv2z/uR+A/liKZFfTJgWXzvzC49K+2bLCnR/uaHVPLMizko + 1k2D91o6kHBEpj/4MRzQN9QsFiz2qfldv60TbBdhRnDKGj7hNw1QGdoRC4TjvXjbffNAephwWo63 + O2KW8T1Bp9Vbps/j+zLxLkIpFwyrq0+bcjtLRNh+l4QuHgVBg2IdNbQdPiExNL9GU+fbDvgfMmF5 + v2mrfpOdMliJQc7O7+jedjsqRLC5BDXxZU30W0r3ETwPxCZ69Pm0HEumAg4qETFu6ZeP2w/p0Jb5 + HgnM7FJMW+mVwcUtMZVraZPKlmQ2QKiyYyGL7uh9ML5n1O2FiDl+sm2ZXi4aUGrjToLypVV8k+kC + rPKrTSwhq0xO3a8HmZiURGtzoWC26XtwYmmDl9Y3TCczp6BM0/XK7O+98Tm86xoJzD/QdUDkdJqM + +05tfK5QNSlIym3TdGBzVFpmfV/LdmijlQDv3WlBlRgZqZzXrgam1gQk1E3bHA99noAYFicSViL4 + v/cJJ9mTWfgJo2Jw0AhQeKZK9PU2bsdHua8BkpISMrpFxadbdUZrt34wa9Hf+RD2uQHvsrZJeBKr + ontklQMPMROwhIuw7epbvoKitwmWniGupoUkX8Gj8oa5JH6mPMjfAXSLmBJn88oKjozvE4510ROi + q006LNDkge2YWyyH1scfev9aQxIt9uS33kbZP4iQtG3OsJe9zPHzvgSQFG+faKfs4Y9Ln1F4G0hl + ni271XCBdPjNH9nGpoWGY/QxYL3Ybim9jSPqdHcMYBBvhCrlF5tjCr4F/uXek2BCRTudwTwspLI5 + Mkf0LN7ujayGaPgQsg+okE6b18oC/dH7WNF8p+XoOEZIWq/fzF4k25Rn6tZAEnN3bF4/5vS5VRgS + DW3pWrIZp/6xNODj7zKs7lyj4H5+2MFCo2/mj4uhGvlr0KBE4wqL55AWTe2uJ3CjRUpRsuxTniCl + Af74Osze7seKunXToftqU5CLKvQV9d/BFV3dbsVsnNt89G66A9LuFrGNZ6o+7dD3g3ymMUbW3s1k + phGVsPH7J3Hkyz4tlXxZK5cw35Pt+tGjLxUjAVarTUl86FaoaaLyAUXxDvFKkd10WYjaVfXzpsbi + C91NHpcXAX2X8ovoWNm3PImNEwxuQ/GiGnA1BMfhqpyn1iTGs2Gc5+pNAdDNjhijtU2HY1Qa6jq8 + fVkgxldzUlEmgkA0hfjdlxY8rk82CC5d/PSM80wlBir9N2Z6v/HaUarz4bf+mKVvfF+k5cJBC3f9 + xamcPfhwMz4iPK5QE/MWm3/qB9Urt6HiQf6kDbyGBB6LrUG2G6Ezh7GPPciH2iTaa9Okw0HyE5Dl + 0CNG/EyrCW6ig3YfItKJ6vuKl17RAckfPtMeRtZ2bpzUcLxvJzouR+bzdbey4fRdMGaORlm9lVh1 + FLl2gGz226ToQ8k/w2cQBeJt7g3/ip5qoVNEb8TcOFLapGJsw+KWTsza2LjtVuK9AdbnOXNr/Wj2 + zB2falc2e7ZZJltzet9OB4U4uku0UPDa0RUzEaY6PjIHg+CPRHoFUL7FihF6kdHrV39BSc9su4i0 + djnPjzLXE9EFySqGm1HK6lcuRiqt66Lg255nUK+bDqPFMUd8QYMr2pdNxBzhdi6mvefVoG9hRbQq + O/Fhri8Y3A/F68UkFr17XSWKL2ZrpkUNSf/0s9/8m9/3tRhqy7bhsjA45ZZntlNwXK3QWlI2f/oj + /xhRAxfxwMj2ZJz8YUVfJQhDk8/6Nlb9PB71TQyJzHprct1ngLwwkYjnBIHPOXI8pbftjvhV/ESf + MHMPkK/5huiPzCg+iRh9YGudVnRSzHPFhZ4/QUKHAk9DJ/PR6vMAsK4/iFvtk2LIpN5Ai3KQ2OmK + CpO+3I8CEvN3mH/i8zwfyQ7ebeSxTH+KiIe3agerBztioZGbaqRiJkD9GO94mPWtu7+FDiWHNMJC + aNop/emP1dsec5djhMZXjc7osTsMxOhNk4sXKAaFH1cSI9I9MMdHrcngRMOXmMv+XrEsO63gGxoW + 0d/0WQ1uuTQg9M+UHCSkV/SE7jV4/dEkzuDe04GCIcC1/CRkW+UL/pHNLoNFkbXEm/RjwZS3JYIV + IYva/aOvaIuyCZIkc/E1MYqKD7dTjdbrMcBIMApz6GJdRGznuOTyDDo+vo0sUOpJYrQ/XQ5p/6tP + d3pUzLgIvjnRuPCgZYbMglF1EXevKwrV8/3BpRUt+WTXjqDglovE0erKpIs60eCbnDDdZYHHRyOG + BzpMJ4+ZC/Zph0eyXMHx4pxJaGQWf2WmMaDjdkjZtZa25jRl7mpdRZ+U+Y73SulwLD14beUnva0f + pJ3KPi6hUYuMeM1RQ3Qn3gHO66vGDDT4aPDk2xMZN63/07/6jbGWwdQ+AbkdslcxgjEZsLpOOkYX + ZFRUkPoaXVahTGb9b8tlHghInnYm5fp2nJ9fLIH2AWP2+rmrvoz2HSxs7UFcP9I4f5XLCTrx3dDh + pO9NvjB3gWpTKMk5vj3TT1Y7NbLat4PZxzXQrH8yLA72wELzIFd9Kt9klLOthlnaP/3+dnsAXJlP + 8EKLCpN7pjRBOGUOcy+LyB+C904B/FZ6Zl0eoTk8rysHjGQtESu8GVXf9sj602+suX+1Dg0i2KhH + gz63I2ung5deQReTgoRaK1V90zcBDMl6gRfNmaec3XQKaVJzKsalbTJ0HBM4olEmluOW6ZRH4w5G + f3ciOnhVwfANMDI+qUA/p6zi48LsGng96iUje7Ou3o9aT8BgNiL4cr0X8/OvkNVbHjGWGSq6e5ZE + IDxvCdMf2ohm/26j90vRmf0q67azvEqGJsSUOQux8Idbn9vQR/KCLg/52x/jOm+Qv7BVLDquVvQX + KjzQz+9o1/xVjXavADKe2ZJ+6cn3uVS7Bwi+6IqF+81C7RJNE2A1kolNjlk72Shr4NA+BOJuqrhi + 7OZ260V7XeNF59Upv4pNgH7+b3nQD+1w9FoFAu2p4eUiKtse9XGGdKNRmXPVZd7tclojXF/WzHTL + FxpyP/yg55s6GLT+nA5vz8OKLigxM8/1wxxM7ySguZ4x19zSbG8it5BzsJ+UdZ6ddvP40QJV21nv + 17w81yiActttMVBl5XOl1wBkkg5zPznwaUV7gKA4JHQYHZGPeyPzYCM6GtvkjsSbU50rwI2yY5tn + SKshvTkCBFqtsS0+ar7M++YKxDFdul6592qo8/2EDMd/0DWJn8Xw8VIL4aN4I3qxC/0pBEmBaL2M + 2TZqxYI965ODSjXomJks22qY+6WSfcuQ6Vmy8On8/0rX7nLmhk/J51mWrGDUPgdMh3CouGlkJdoX + kU2Sr1EW37u0y5AiW4zgIRxaNnnptCLr5o0XnK/9ocrAQGaOzrg/nBNES2NyQPO/e6K/zKodTrE7 + KOQq2kRPUG4OeXnZof3QXSmXMwOxbc9PgFT7gFdm/PQHtXY6SA5xxEhuef5nHq/67DWTBLFzLLia + pQaYET0Rq4syNDQoOkBS76/MOXeZPy7rpgHL9kYKrj0Ug+EZFqQr05vra6ymnTt2UD+jirneOuVD + i74BwoeixXXQHVs69XGtBLV2JJoib1uq5wcb5vxCTCw7Ph/o0gB83wzM3z9oNY6iQkG2LUowoe9i + /OXFWW/oevfxioGbxkcNl1OMYee7Zn/sHw7s1JdKr9oXozHLkjOsJv5i5ub2KKZCJgG8rcNIAvda + IhaXe4BbcZ6I09usGub8h+b+xKKm6CoaZVUJBzmN8cvdtAUPPG9CoytlrNBcnUtV7Blo7tf4NcIT + TWq5MdDGeDx++mZOijgJIJS1T/Q63/CprXVbMYfpQx/562iOW7Oo0fpSLal4FBXzHtweKzXf7SjD + /uHAJ4PKH2VzwfVPP/0pvbkZOhvl+9/1p7sjVrWjfGbOfkHQeAC1g/l3on3tntPJ+B6Q9chsZvYL + ivo7ikpUrz8d0f3YaLmM7goIkrCjwrf8FK2fXw9gX5WE/ep/wNkJK+G7M1mhZFa7TND0UYiYXAkx + k6/J1ffijAZjOTJjtN7p1ERlqcYRvTCyFM/V8DSfB3RW91vK5jw++uK3A129Xej6tqOcrsQ8gFq9 + c+bja15MgvSq4fk4hcwWcZKO77d1UE67d02n8tsVzHfHFWyKccJCMeCUd1krA38vTKJn387vl+Bj + 1PfGBrNt2rU86x81GDejx0O661B/zamIgnwZzbyjLEa15x6Ux2E/55GMszvSbPQ9xHtGnC/x6fM6 + 1LDPlwleXk9exYNbcoW4yO54+XTv5hCZxQnqacloV4aRSX/+WBCrkpn31zGl2/JCgdNJY8a83qcQ + 1H/7BS+N7v74fVMbXktVo4/FSIrlnPegOIQWs8Lbo2KzPkP2xAnx71D74ymD4MdLmP6mVvUnnz/l + eMesd1wVtJHODbIOeIHv/carBkOcDqBotTfnZyuV9fxqIbZdGHShRcgcN6pdgsEsRJXX+4bY8U3P + qL8dgYIYC2YvlZcPuudnnW38DKHxx1tM4rtUzL1zO+ZZtUOraXwRq14nfETJ5vlHj+O5voaupAlS + LS9gBB/vfAqNb6BcDBYz2z9I5iBfVxjNfoC+Vh+35ULWruB0ME7MEM5D1cZ1YsHxcLwxvdalor+j + 7AHZVlApWvZmIW99bCBZoy9GIBzQcE/exto3eIHRO/mk3IxFAey8PjKiv3LE7f5RAlyC6Y/+TF25 + l+GSbU7MnP00f8XFDp5krzBXuOzboSmDEqpc2hPjGD/QGIjTU3VytSV0CKN2PGXizMv4hZgNXMzv + slxmyly/xM2+PaKBkR2U8m7WeDGWTjXmZvoB/SqbOKYnt6CsRh3E6KHShynm7bBFd1ud64NpXztE + Eok+gTLzDYrm9UGdOpfR7MeJ9zUMn1vJRkbkwc94Zb3rivc0yMAwlm8KZNqh3/uGWHZEQo6H5ewv + 4g8U0zUnPjocUs6R5qgXo4+Jx2ldTYZ4V+D8BoEZvnTxh7VnJIi+FREPVaZwBn0uQ1Q+debM/qiX + 0P0K+lZY0eecd7kJfQAbdW8Q114NRfOmwgALf3fBw40+i2mXXx107HFDl/V5rIby/ZLhhiqNbI/H + FWI/nlNOjw/78bZhf2soKqNFRtdGeeOsEJ0zKlXcMbfqDd7bpkcheVyPzE5OXjqk4rdEsBW/xMXK + Mh2u0DWwdTtOdJLYJhdM/wDQxxpz4vei4J9YtdBeNnKqdi8N8Rr8J4r9Q8q8SV8WMz87QLNd8X/z + p17UHj8/SCELuopHUt+gfsoIM3qzQpPmloOK69sarybRSKeKBt6vv1PI723Komgs/+gfD+9uwT9G + 1ijZM0hwKSxbk21AtiG62QLl5ftVTY33PIG0Rm8WhpvQ7G+SWaI5f/7pv+z4rq8w5w3i3Kjtj/ve + OUGXL490dMiunTJp94RgV+1ZMD/vzIsDNG4gJjOPQp+5f4BsvTvM5zz3aWvng4zd7st81XLTMfXf + T0TWnzeVVXiZbLq1V+RotMDLbdqg6STJux9fYtYL3X32krdXcBpzzXz9qrUDrXkCbOe5+Df+YStJ + MqxRoM2ZTStEjfY7hJcCwu9J/vpjFK1t1Drbyy8vFiPNQ0dZuOhL5UMRIrSPJQ11uxumuSkJLbu4 + I6CZNzHfdZbm8FCPiQJb+Yvvx/RbcanWD3/4aOha35Zr/s1WZj3B9W1Kq2FKrvjHi6gQWy4fCcrO + MPtZ4soFbsel/+4A4o3C9OVIzEHsJwW+o/7ByjG2quWc31Fj1CuMikgvJqHcK+vZf7PNukYFLZBy + RspGSLFwOHUm38H5pCyPw4mFW/o2Z32MIJRjQvbwDc3uod4SNKKrTNFL/VY06LUnoDcNqXS9ZubE + 4qcB8/oh2GqmYkrMrlMuFk6pgPWVyRxqRXAX8Y42tvxtuRiVAzD3apFAhoXfFHUzATXOF+Id1juT + kXJjAxOjFwvyu1+MeY80kMjWppJuPlPmuXcNvhoKZj1QfzyoRvfVtsDru6Ejvqu5rJ7Er0jC0neL + UZIEjL4XO2FOKASp/Oh5AqeNEBCtNsFsr54nQu3omBHSlW1XgKFAsLvvqTAtsblcxcUJHR+Pms38 + sJiub6uENcIa0RdcnvvR/gMXLLp0fHZyW8eZeAKrXCQMO+0eTQWazhBG8opsF1FZDdf3DkD/bHd4 + 0U77aoivK2ulYjFiB9e02t/7g6OmHvAg+nXFmKmu4FCcB+bHnuAPsdlFSH1Gn9mvYC6d6av58UJM + PW1XjWsjisCxXg+m1/kLidfj6gHHOu/JthENc1nHHUbxs52IsfHOPuUqXoFVpyFerIIwZVjyFeV4 + 2N+Y0xS0mIbjx4O6v7yIczE3JlPgdUK6GBXM4dPOH+d+DN/p0TCyfrCq59L5vE6WcjnrQ+93e+uw + gqN8Q2xD19ycHj2P4JqPNsOEblO+rCsb/XiUdtDidiiTgweqAB0eNLIrJFs9nsBhe3HmRYb/4xtI + vu0FYiXXJafJdXiosta9qJhITzSIWYVhvdtJJN5UDHWpu05Avxx1pjVFUI03tj3BR3bWzD/XFeez + v/jxJkJURfPb4ZY8YTEdNuzHKwcq3ygyb+TItPF251MjnT/KzDfx0G/HYiTRBytdLh2Jqz+wz8hr + 2P3J48FjFfvsm4QAy+R6Y1723pr9Ekysju3pw1xFNKof/0HNxHbMcdUPGjvqCz/ewHBioIr5+XUH + s9+hpejbVZvE3kkRqdDM/KszuzwaVmpziYBtBiK1Y6PiBhwXXbA883P2Pn4Oir0wKFZ10/b7GE1Y + neT9i4X17VLIFQ0c6G5+goX9pi84icoG7dHpQdfH1C8m0zMekIqeyYJwyzlr+kfz25/Bk+bbiIue + 9AB73byYt6vNakzqRwlvJ1xhUd/45vg2ogDmPES8XV21XH0vzxDaHqc3ZYmLcQ07C/aMFCyc+T43 + jh+sGOtRY945Opn8QqkNfH3esCBwDXPmuRg8ox7pauYVHBn3p/ocFvm8X/RIeWMoJzTXC7N69WPO + /fkKf/KLuWN8jCXZho5sLUamq5KOddwOaNtGJsHmjqD+Y3xtQO8uZLtGkQum12iCviYOFub8NgVG + tlMkWSuZqegSn/T8YKFQtQJmvZ6iyc7u3f75GzyGUKHBuvESplI90847T+24/WwpFI+TP68vnA6n + kgYQ39LPHz36eJB26CobBTFUGxc9elMHSjtOiXWvhmqwJBPDPUwUrI5P2eRr2JWQ9cWO+fHd99kT + KfSXN4nH+srvXjfdUNjEKzzNevlagh+g7+N6poMsWf4w91eQcu4TM0cal377UcJt4+AzSz7V93Nc + TbDfCz7zJcMo5v1XT0V1nLNIh6qazuWiBBGLmJFVEBajk4EDc34kxIqFduYtAMvQ3jNtXi9Mgf70 + 8xvzeM8+JaYnKLzgQDCQY9v99jPKcSti+bJNqulNhQlm/SY+ojYfFeProeGmLWm7OK5Rr/TOA5r+ + 6OEhN81i3o/D6ELhRZL5/f14ujr5lUWF++2JxmtOZaSGR0zlLmjToUeTBXM/JES+XdCf77M/IfbM + i5nZawNaUZmwoF6L7VD2dwGC7/rKDPum8NF4W/jn18kmd/Z8kMyiROhAfBLO8zOtbu4DHQ6OhJdZ + X8y82RPAIXFN73GtFNPUx09Qit2Z2V3QFvP+3gQfrXv8eGPL1vEzAfuZnJnVfdx05nkJyKqxpbxG + 6+rnT6DGov9nv6P/JtdMKY/TntlzPxmy0rrC379TAf/5j7/++j+/Ewb153J9zQcD+uvY//O/jgr8 + 83Q5/VMU5X8y+c9JBNqdyuvf//r3IYS/v+2n/vb/t/88r+/u73/9Jf85bfB3/+lPr/92+R/zf/3n + P/4fAAAA//8DALL3VtrhIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c679fef10a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:12 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '215' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 9cc2e20edc6745d36d0b0cf07a33525f + status: + code: 200 + message: OK +- request: + body: '{"input": "This is a sample text with no information.", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '119' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6WROyOrfm/fcrdu1b+ysBgSz2HZOKTFFQxK6uLkBFcGBMAjl1/nuXvqdOd99Y + JUQDycp6hrX+419//fV3k9e3Yvz7n7/+flXD+Pf/+F67ZmP29z9//c9//fXXX3/9x+/z/xt5e+e3 + 67X6lL/hv5vV53qb/v7nL+G/r/zfQf/89ffe0TSqP+ZdPDU0kFXXfojUuKx21uhKaxmcQFeoF6gq + ovKzi+BUBgXFmXKxZlNVSniqs0imJIn6sYzvC/X1Wd7Dl1YUMY8OrQTHTVLh7/950w5VJRxYIoZw + nHuPrsMhBaDMJlJ+Kb2p++QluonoRL1US2MG0vINw+rd4tC5PrxZY2WjzLDl1FwseqtT9XWhbvWV + HQrr5ZxP2qEsNCffxHRj2A4fD+ehgdTe13gXjVfEFr0ByFqWe+pJyK9ZE20TlAu2Q3fsSGMurDod + DuwoEiafR8Q/89JGeyd7hNNKqzk7CK0LD/kTYY9niTVlo7hQxo1zpRiLvUdOr+gNw6UIqBG9l/Xr + ZA8qiKWLaOif855UTarD8ZQx7PWsqXl/731Ap0VA13XxRvO6F3UIjVTH7uVkeKx+wxO2RL5S77nt + ERGSxgcwHYsm96jz+HBtn3BLDzH2TrHLSROoOkqKBGMzPELOL7zowNw6L7x1AqmermUmoI69Hewt + rnE/Lz+FDEOztYhIGhRPlXcpkDzdCd3Cxc9pNtYyOL13IqKzbK1eYtasYb+zCKIV1JPHDBM+Bj9j + t7lQi37vg2UlOQ60rO4nfDUijTmJHgrBQ4nnXu912CeLE3Wy8tzzzUY1f+PJNPSdxR7DxYcrslsa + zOe3RdE534Ph3zXCy4/Wz+eLsoHjBi3IMpOderKOHx+GpszDuYkYZ0hOFyAF+wqfq+yTT0H3TIHL + h5Yaw6D243DbMqgPaYIvQz/nvO3YG7pqm5BnLZbWjJfsCbEcO0RQ47Ce59LZoIeyHrAzrguLaIQ7 + 8EolTNdHd7S65P4QtLM4TXiXnNyYFdt7hTzIN6Sj6iumEvMYiKZ5x8Hx0Ocs3wX6730wrjJaU/wI + 30g0X4jMaP3w5saTMyhKluLrfQCPnItQUBc790mdNm6sYZdyH1bv1sS4ilprqJ/qAprumdHEhirm + zO8LZFnKCgek1LxJOwhvoIXrYkfGuGer4F2i0JAz7KeFXA979SIDO6sNxufty6MeszbLVWr61P6u + R390zwQsZvZ453kSn3ySl6gV8w2Rs0/QzxoDBvO4PNPdUHucnuUpAmv5iYgkll5PQkONIOlUi8zX + 84Xz4r3ulLPIp5BVxhrNN9TLYHSmFkYnwYz5GZoU3avXC4d7525NO0UzkVg6iAbG8OZTeQpuEC7a + ngjFOsi7TctT0PXmhg+XJe35qqMO6lgw062ntTG5oVr+rTf1zXDlDae61sEp1lu6uyzPiDnloUAR + TnRsnsQI0YYgSY29XiUlDmxEnwZqUJ7UDhHWdJ0zc6Un6HseyTK+OZbUm/sKdN2xwxmFsjXSfVoh + cTEx7PEI93zjoA7WzT0NQRPGuA8r2KBSO4fYS+HD+XBfJtB0Gx1bp7iqJ3+4qOijFTPFVYZ7Oi+d + SD1EhOPf89L99XyDiYkM26qf1lQpuQuffbSjXnm/59/5GtiSzKI6ThCa2t5tYHeOdqFGPrE1W6LO + 4Ho1MDbdWkazkAiJGrtPm5SjXccMLwwT3htTCWc+TNbcL9oE8u1NHdXLi1i8+1zfqHrFVfg2fBoz + fhs6JLPlkTSv+mRxZ0kFSO2opnZwifiE8uMNFrtuES6nQPemonIS+I6n4f1gcMaLWkerj51hfE4e + 9XDsTylaXxInnC3diKXveUfuY2PgnTVJ+bBsiwLVhyyheApKjxExLlGPD0u6ni8L3snbpQA311n9 + 9tv6xkuh7oQbJw92XXjEVHwdBfVKp5vaXnhTHLAGHp11I1wVSD7A3ITo/G4eNE8FI2d7Od0DVo4x + 3r69Dg27FIXwy/f+wdj2NKzARi7Dh/ApZXbPnxpL1MvtLVAHHy2PyetSR1RJBOyidRszeSvOCG01 + kdrFsUXzyiMLtEp1n9of0ll84SkMmVwSqcFOq356S4ML7JyG5LGNRas7SHuCrv3LIuIn6HJmIusJ + RgYU4/M58ub7qmxArgQZ66NtxYyIeYm++IIx1qaadZvL8MuHeNfwFLFjm8+Attec3GzBtlgWth3S + 9e6G7YX16PnaFffQKE5I/uDftoo30D3egL1+UixunpmjacMjwRbtVMQyHxwkLgZCT0ov83c0iwT4 + peM4OLqneLTD6gjVc9gQIYgADdHMG2hfSkk3Z2ZZ43bt3uD41FLssNGpOfPrG7JVdgwnRFd8+O43 + 6OO8pro3hDlPlXWKqHpu8DY3VvE0Zn4J5Z36dLdMrxYR47UP5mu4YEdI1vXsHe4mgoUUYROFqTXP + 1UmCkJY5zlaFnzPpcOogbkMVW7385tNwYRm0gjxg97o9eczHtECOcpjCiQUHazyZ/R6sZbWnemVK + 8Xf/ZoizfkOE9crjgnQwKs1vnkB12TnErZUmR6iEiODdy3jyabaujXqW3C3GcnOwSGe/96DfSU/t + HTtxqlQCU1diF1I/zRurzT/KBhyl237j/caZeLJneH3UK95ohmkxCRc6SKohhLKMac3SpNDRu+4Q + dUtq9KKGZ4DGX6TYDfOsnvD9bKJSb5Z0j099zN6nLoH33G3x1lkziy52soPal3DD3qH65PQbn3A8 + SQ7Wk88rnufyGAKY3fUP3yFIpq4SnEI3XNl5VU98SQoEpmvhjZ9UqKnfTYGOm2OFfbqtYvIgRxUu + +u3yxVewBtaqOpqxgKh3sUlM8OIcqk7XIYL45VXzC9dLqLa2jRMxfVncH/IFZN50o1hY1PVcv6VG + 6xiesT76O87EI2vADp83bH/z91RbPNRwJz5C0RipNcrvh4Sk4siovV4Y6CVyJsB7Gk7Y6pVz/MW7 + CqyDjH/8OGedvd9ASQ460dsjy0f5KSRorMUHQU8c5fQR7HRwY/1Df/tLyfEqIEm1BNIf+kXOBaXu + 0LIqTGwXAefEuR1kiGV/Q/3j3FtT3kPy4w9Ul/E2ptFBA5RzJ8Ghn/TWVLzPA4rgM4Sr6XzP2/Lg + hmAonxcB6VFx/hGGp+yFk003yoFac2dHLgzeXQwfK61GNF15DFBy+4Tz1jigudvEDAKevKlXiAdE + mdOEsD+rW6qPQZZPebeRoDgMLr2/Pe7x8Nm+0WHaf6ijm23+5VuAsvZSYotH25gb10YFcYkdvDnL + bc3sqR9+96nH3dbqvYm9oce+FgrFKfuux2r+8T281evW43LzqlC4v4U4mM8bb6q81xMtREkIq+cj + iKeu3keqfj/E1PniDfkctD1arwwfewXJ0Y8/okem7an+6irO5We3V2vrCCF79XE+rbo9oErYE2oO + nsr/4NFXPxA18m/W1BBlhr348YjC/AYxXW8iuB/vu1AalydrGBYoQ+edeSczF8498b3MQeEeGhrc + +ezNQtKE6Hl1OXWWSsGnbGwFSPrrHePpptXf/HFDHrofqbGtDj332DlE0S0Lqa1pYA0NVt4ILKzQ + 9ewY+eqL78gUxJa6W72tGaWSDKvPJqObSb5708neM1i7Rwi1+in27HOSbrDeSRU1t8aE2HpsChUr + wki9VHjk5JytfSi1VRNKyq7pu/dpH2nL2rqFqJ8u3qTmegLrz+1J2Df+VvW6mpG4f8c4JOsKjS81 + 3yP34Vl4I5Z9P81GoSPmCBlZGMebN/CiN+ECdE/UMFfrYVxdHWDia8A//djxYrQRVZiPrU3q1d94 + kZE9hCXVdffT89kwvvx9tSCq2276mU6kgO3+2JHlT1/dlUUKCtApFEXFRkOvlwt4ZGoYVqXMcpbc + uYzqg8pI9XC0uNVfYwJxw6tQqLV3z8vTtoTQ0Aq88fHAWUztCq2ba4rX+wez3sX6DD9+HSpJUCNi + 070O/grPxHIPYk1/z3dzA4WuJcPLefeKF2D4KcIBeVc1P5mXEOQqL0MJEPRcYt4Mpbb3w6VelWiw + xEjQqu37hp2tWtUzG1dHsMp6TX1NGHM+Gzf7C08+3ZBN7424ZKk2zscYh/Hyg5gXmwVa1oUUrm6d + EE+fuVThdNiFFOPRrlu6HxogtAS83mHJ4z++WOrOix6sx8P68oMOohGkcEE2cf7jbzLu5js1r2HF + +ck8hJpyr7ff3ycWT5Ugg7X0EchyHLNffjahdYgUPoa6rodfPL6kRU+NbeZZ87OcGLRbYv7RQ8O2 + +vhA9vI27J/bnk9nLXyDa9ci9WgF/djXzwwFmzHFrrWX6n7j8A7qxzWlu2Z2cuFqRA0kfXYlitVi + TmNP2YBuYJVIXZJ6TCPKBiYWHWmwC0f+4tpTAgWcEw3P8p/4v8F2cV+HLFnN8fysUIo+2tKnoVhy + zs9QplptJUCtMimtfrk5ubBdXNfUX9hZPhyEhwtSj9IQzETrqZW4DRxsd0m+fNibDud9pR1ix8OW + ezjV8/IVR9BF+pEa0YtaJGJgQ0mGFO+Wt6qexaNK4KLXObYPJkXDg2QSdNZCDZXleegnXLJMnWHN + SambhsdP5usI7xrX1HN3q5zZ01JCaZUtse49P5w+gpMLrXjZUJvucm9Ork0IW5Ja2CzlfTyrC2uG + 4sB97M/tLuZ5W3Za7LVqqKB36zUmst5wqOKcoJ45PT8jbAL1m2dIQLHQ5Hf7vXaTjiP5fPX03Ozx + DGMdrak9q4uek0j/4mGsU+vQS14nb1cC7EWPh28STj1J0/sAv/j1j+pU98a9q9D3OzXL5TsnKiQR + ah2/+OpTWjNDF7KfPqGbCs41W34iAenacaSBpFuWcNn3e/Ryo5w6y6UZM1X3MtVG3KFemTj5VNvb + I+ydpUaDr35mwwKlqHvYFXa8fuPR6NAK6KkyMXx8zwNFuZnBly9Q3Ap7jytV2QFWz1u66U6f/j2X + hY/ch23Q6JtP5ny3tZXNHIY02G1XaKi6eoD2dbRpQraoH6/VsYDP/uzRzbgUvRnmKoKS8IzQ6rHu + p3syA+Lu+/XVHzePXZf7hda+Eht7i1dmzTb/ZFAlwZHMnG89PlveE0nBDCHqZezRfb4bYMZIo26Y + dRbzvb2tVduNTTd31+rFeB+mcLCfZ+p/3j2aL8eiACTsetytnhGahoucQvUkG7x7maecJY9HqpmJ + z3FA7kM/nsw6ApnJEbZNfI9Z6zoCWk6fKBTJp0PE5p8UbunQh+M+NXIhuc6R1nS2Tm+Ko+ei/GzC + X/xga2V1iB0/kYsMP0PYO3QBmvS6J3CPF5RIht1wRkdxD7vzyaP6bW/mk8tlB7bGSg4lxVW8Gckf + F+Ei7HE4LbX4Ve1q0MbjcMDBvr1xXq8lFWxsy9jvcYN4eeQpEFoB3ig7px/u0jqEyX7K1FqcbPTF + TxVq67Kg20xhnFliJqAv3oWTZzUWvfCiAe8qRmRZRa03X/YHX1Xb1YWsqniK+VmdVVDG5wPr3iuN + R79L98Delk3gsCPeZFzVBRrnyzf/NE8+L1szRa8mXVEc3xqLDSpzNSO/7+gvP04P7DwBzOaKndc8 + 1awUzgTsazMQJQQ1b/uHpP78G7rN9Q0S5jJz4LzT7zRQpnc9uOeAgH4PD0RMzU3PSuFOULjoe6qz + UY8F33v68PVTqIOvqjXlrUrQF5/DBQkVNNfvqtRwHynYXq96PvHl+wbxKjqSN6Cib+3o9UQ4n2Ia + TtIm508DdcrXzyPTssxj+suXhJpVOGq1Wo/f/K6QxW6mDjiXelIeQYi2dwGT1Td/MDpqEZJ6IcGG + NYXelz+YsNoVKVGQ+OqZujgJkHm+STOqrmPefYzijx/mLGU/nq+G80YpW/BwYsetxWNvsiHnHfvz + fuTY7gagOZmJHK/ffdP65g2O21OCTY7Gfi65UoLvgkr1rBHR0LrFAoihImokp8rqNCYw1NkWhD/9 + thLFJkPXMLtQ3Xtu0eoRnByYcfIg6Mfn6+2QqTtB9nB+8p45318KH/Vw+YTstvNzFAfzAMIMB2o0 + aOVRfPcBff0E6mz5UPP9Rf/i/SkMlej55vR33otl4n35mpETvJSfPz+J+sfOrumXP2vcK88hIeGF + 82QhOfA7vzpOcjS+QGeacDpiajaXN5+ReuzQyVzr2N6VDhfOOesgzpwBW4FSWS2JSKRWwolR42UG + 1jQmu/2Pb+LAEDU+NYynUJfFk1oSesbzs1QYlPfRx45w8605XIsVPNraDqX8sakniDsb0kn70ODj + VxYzlWTz879/+h3N26fZwJdPUnthRx63jjsdNuuXTr/xh/7Mp8rKBztbxL1PuWeu1sWGQ9rodc4/ + EO9N6JjD6G75ufTsxw+a7p0RqnfbuN+htAAcUIXuHnsjnlLRsZG/ejrYSMLBa83Mk2Bcdxbe5Bnr + nz//hKqnJhQOuxef2tYwwb+UBOMv3+Gb7caBwb0aZD6JM6eHU7pA2G8swm67IeZWkszQBFb2fZ/Z + Y8/HGWC7sEZsfz5Hi0/rIETvtb6m5uoq9HR/vReoOBA3fO3bpOeeEB4hXcdnvF5fK29YBe8K4Xw4 + YOPnhxN+UUFexzJ1v3yDdnV2BDPpPBz8/LzN298DEjYtQcEs5HPce0f0O7/zYFpcuCFxgZBgt9g9 + Dba10nCjopcrrmjQSbSXfHzNYPEh6R89OhOeL1CbsD2+anXWT+4KpSCa+p3+8u/oSoGqLFJ/pruh + eyD+lrINFOVZx35/FxG1khtDp8P7TYDqQz4f+3sBWEGU2vXi7NHiNZXQ38IdxeM18IbjJ3Jgl0gT + NZiv16I3JwxWYhPir5+HmoP8zEBT2xnrN7dA3/pPB8Pq2WJzM9lIdLTBBRq4C+x/3h4i7/NFVb7x + hHchZHFvpnakmQkNwu6Ayn6atj5DFw13eAuXIWeF5bgwzoh+82WZD8tPJkH+soHuttHAJzu6FNC+ + pBveLT9KPbqcuXAUrDcppGxA8/JzVEGOo/1Pb3HursQb+KvWxWaTrXJe7S4y2OjMQvl2yL35dXWb + P37cD58pxKn507sUj6PqjVaivzXaxxn1P6Px9Yd2FfryOXoYhqyfhJWwQVogl9RP40c9V81e1z4k + fYY/P34Kmo7Bw1ckurusDvFEosjR7rO+C4W0fudzsBs6EM1KIRM7fv7gkfL6aHf89adyntFDpn0W + 1zf1qRMhoa6UI8jrg/zHL2Z3eSNBXS4WZHE/PNDslHEJWv96Urvw63iQt22Hrn1p4NPsPHIq8llG + qS0u6e7xuCH+80e+9Ti6e5RhzK3jyYFzao9/9P4KXXSmBRt/QXchr3MmZI8U/MauaPrlb0X9nBcQ + 4Yv59cdEPtfvRQd/6gXi3YqHYmtl0HSeGVbW4Yb4du2X8F6X95+/z//4fTyzPZp/+W6jGEyFr99P + dbbQ+Ne/dAHKWSGr+L6PxftxOsLDk3SMM0XxhmNLVfBXwUy/fnRMWtdVYb16vEOGrwfEBlCY+p2P + eodqG4v389b++Vukdg+nni83Ox3tHRlhPZEM9F/na+lucLA+WUh4sOIGxWE/09CwJ4vC6dKgL5/G + uySoOf+uDyxtScfBvV5bzBIJwIwlhI1vfHSU7gl89w+bg9v9/Dkf8g2UIcMJ4k9jMZNffIRCLeqe + dGyNAd3XV4360qNCw7nwZ6RrF0p3L1OMf/odfet/2JceJhfxwy/hWy/AZmTTuP35tVZ5syg+J0Y/ + ctSHMEVNRAtqFJwfHQPgh1cNPvG6OUgVQw8/yXBw3D3RvOh9HXTdtUMkIb//1ls34Lu3Evs7Ovat + sxyZ+uXf+MCuN2+8TONGTeNkIh/Hf1vzajcmEDxPGV5rdRQPvdk91SNfC+ECVCGnJHI2KFHrMbw5 + Y2hNdlglf+pvTkKP1nhPhacWN1NFPuPLy4felAZ03CiLEB36W/ynfug+2is2H871q/fzhXo+P2Mc + ffPP2D8kGU6UGtRznTeiF+5UsNVuB4ohtS1WDa8E9rvLCW9vc8bZoMou+vmL+aELeH9GWxPe87gL + UUEQn56G8v7lSwKF/fLm9/kig3BKcDgPrpvPy1cegbh/xqEs3Hxv/Ahd9av3Ub/WCBrzZh0iNyoD + Ejrv1FqdVVWFXz3D+/KV4a4ICTyvT4/exY3rMT+4EPj71xXwn//666//9esweDfX2+vbGDDepvHf + /90q8O/smv1bEKR/U+lPJwIZsvL29z//1YTwd9s373b832PzvH2Gv//5S/vTbfD32IzZ6/+5/K/v + XP/5r/8DAAD//wMAYFCOa+EgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c67cb9280a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:12 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '89' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 3dbc4b59fa4757eab4ada6b65123a4ca + status: + code: 200 + message: OK +- request: + body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following + text, covering the topics present in the text and nothing more. If the text + does not contain information, describe the type of text.\n\nText: \"\"\"Grocery + list: - Pancake mix\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": + 500}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '319' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SPTUsDMRRF9/6K4a5TmX44HbJrN4WCXUhdiQxp8pzGZvLi5LWMDv3vokjdnnu4 + cEZ4Bw3bpTBZbtpt2FYf9e5xvZKv9eWy2+z3T/Xz4JZzKPDhnaxAQ2iQxnKXAonnCAXbkxFy0NOq + Xsym5Ww5V+jYUfjTJ85cfLR+UpY/V/bI3lKGfhl/Z2gUq6Lt2VL/WQSfpbAcxfjoY1skE605UdH5 + 4R4KPjoaoEuFwG3q+ZCh4zkEhTcffT42PZnMERpZOOH6qnDOpiXoEannLkkjfKKYoR8WCv8hN1wr + CIsJN1DNrte7bwAAAP//AwBHdKSJLAEAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c67e2a620a63-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:15 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - text-davinci-003 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '1923' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249500' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 120ms + x-request-id: + - 43755075836f6f963d49bb3aa7d66de9 + status: + code: 200 + message: OK +- request: + body: '{"input": ["Grocery list: - Pancake mix"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '106' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RXy9KqzJKdn6fYsad0hIhCJf9MLqJcrEJQxB5xE0FBuVQBdV6+4/tORHf0pAZV + OcjMlWvlqn//68+fv5+0LrLx7z9//r6rYfz7Xz93eTImf//589//+vPnz59//57/L7Jo0iLPq7b8 + Df99rNq8mP/+80f835v/C/rnz9/UHx/Ee76eYQvfWwzftlhTeGs4XaxV8II8aCa6Knnaz+NxxCiq + yyczsdzUi7LdeWpclQ7L07NZL8+1GCjTXvoQ69mjmo8X+4Vi97bHAhMXdwnsK4U1RAoVCn0y6Fld + OWiRzZkdH7MY0j0XLSi+dMtwAaXLK+HiAav8F0kn/e3OQbINwFHdHiteS9IRsaxC89h7lOo58Fny + dR+UIS2ZbUs1TzNHGKBZtJJYzRTUvTFrAWyu75Ds9t8BdewdJ8pZ7SkzR+ajoXicjlAZMSXe6iqm + Y7lVRES3pw2zBqXkLAblCNVl71BJ9imin8FtkPHcaWR/7hZj0anfqJxaX7zx17oxL7IvwOAWEfO0 + 3HFnNzwUIM7tMi4VDvhMvHIHQUtT4t0MyaXlVp5gd7m3eNZsLeRKjRTAyFExeo6Mzx9RjuGuGQnd + uLqP1ifGB9WWu5p4Oy93GWFvCbS+ZsS5DlbaVZ4c/eKJV/fKrMWv8hwgyo0tXdzbvZ+md1LC0290 + 5kGj1Zt+P0egh6nPDEC4pk7kbmEXvTjblf3JXR7FKoBm3ZVUGKiejm3dd/Bu3gjns77h78O06qCV + 0Y4cnEvER2+0Bbgyf8dsFanueHAWDywpSZjrHQzUrRJfV+eKaphrqWIsnGdbWGRrpt8v0Yxhl/sD + lLdgZE5k1CkN6xgjbT7v6Ep8mVwMb0gEiecGFtatEQ7Jedehm4zOBLcBdnke5R76rbfUijealpGX + qD2YFxLJrYumNrYwEHdzZ146+8bcDHEMzxO9U9kDzlnelQUck1ag7+thZQzrQ3eBkDs7+oLUMHjX + C5M8gX8hRmeuQyZYBkWprvTEkn3Mv794CwLFxN2r63o2ZyNBRyonxHzMcb0c/E8CyGjeWK4zxtl+ + WpfI248fYo6einhgZx+Y2WFHjpuoreczOS/oLVQ3tm99wR1Xu+KFRsmpGdlIXc2k+OmAv1kl5HDA + DR8v312lGoIk4o1/+Lg0oh0oZjNcmSaDWPdcdk1AUXaiq0s+9lQ0K7pazvLIdjfhyXuv0yP147QZ + Xh5HnW9gg2JFEAZMnGqiKUXlpgDxUkZsr4RjyNOjB4iqfk9IyMJwenR1B6RgGrHyzdwvaK1T5ade + +nLcoZ87NYjhWSRruurUb02JoG8hOdoVOUnhiy8fcXuBawIvvFGDNuR25Ejo22Zrkn+NBtFrP3uo + 2K5KYrzHbTgl+tBBLHYJwVebGfzUeiKo2jFh+crbo1k8PH3A1/uIN7z33OnoVxVqpnYgp/2jqpdK + S0Swb2XIbi6UnNp3LQYXvx9YTJtzPbFPvAOnNH1iqemaU/npepschyH+rLZuPfvrB1bWtLSIJr9v + vbSnnqR4meezbDOW6VC0swLNC0xmaGlizN4yY9WvvwKVzYSgeVsEFTTVsiWn+e3wzae+ToB0ZyZY + Nqe0511rgljaArOE65tP9cH0oL17L2Yl87P/zVd9364hXekXmo7ae9uBkjITb79s6EfpOpfgqHZP + PMs1DabaNoY6FToq/PBleVlCBCjYnIjrPOR6uc5lod5702Ju9ok5Hy/aCzZauCHH+NLW4yeRFOBf + bY3Xq9gMpV/+SsXDYV52PIVzEd0i9KNvDB/50+0WKYkVOdIn5or3yh2Vhleotg86/Sa7FPGYRg6q + NFDIAUmhMVfLSkLHU1VRO1F6Ph3Cjw5FfDYZoTOvx2RFdRDf3oLlxz5APPRwjGLsjVjy+Ldv37ni + //aH4Pslcqeo5xf13WHEDmTqEI/6VwLBvnHxbDY4nVLsOqhh7oZuNPLg32seBdAl5ycz1MOrntJQ + iSG870Ms8Vztx3j/NKHLlSchNJHqccymAq6Of2QYtkk6NvHegeo2OOTm9JwvpiQ3cMxmhxHW13WH + moailZjUxOyCmk/etCtBOAYVO1LRqOfK2XUq4vWXfrL+VU939xzD03/ppLg0mcuN6h3Ax3Y/eLnb + KWfx0afoF1/bgxBxQ5pKtbyKMn6NbEI8z7wM5VRl5HDf2e40f8wA6qG3iOEfvJArLImhCayM7cdG + D5drnuPfeaCjN91ritb6gFI5urG9PCnhHARuqZRHfU+nX319auWglnKssvxrWHx6ebyAYTguBE+y + HS6PdtDR+M4OLB8TAy3Gu5bglsYaM8ITGK1oPjtoRDzQ9il3bt2rZgnCRxCw4C+LMQSJfIGLK6+w + KoUmWrup6IEm3G/kiMbXj766iZJFKWfm+/VFy7ucRLR2QGeW3Lr8px4PkgUTZjyrOVxaZlso3Sg1 + Ma1bVU/Ari/08QyfmNr3WC97PT7CtzG0/+zXiVblpArRISJGTtuQN994ArKEFhWX3OFzcgwkVVmd + j//hKzc/lwpwqMrEnue98dL7EkD2V0BOP/2c80p7IRtZNwxn4eEy+igt8D90YftULA0WntUO7h+v + YD/4pPzsBQ68HvnCjicOafdO7QbUFy3omH60fpoioUQ/fg1vs97s+VO7L+gSShlVfGFI57UAGbwT + ISS2sB7dhe7pB6itu1Q4uBGfp/44gKyxC+0mN6wX2xljAKWfsTrOJedp9BGgvS3TDx/MehI1bqLl + K9lkl+PSHUtuvOD0dE+0uyxSypVv7aB4GFUaK/xSTzc6WugHP6ocbmdjaHO1QH1TFMTrrH3I0sz3 + IHMWl25P2SPk2T0ZkLppLObIgtlPv/3bx/vTr5/rp+x9dGDdIYuWNPgYP3yO1d/9ur+uZXdQGvEF + kXfLMPIDhy+2KTjQ5dsnLZecGCP6vgNYpXNHnJOjh4s77hQorebMzE2l8bEZ4gT4BAHLkDOmP/tH + BEp3BvNeRRpOaxn7SN28LGYrh9DgC+xe6vfSnoh+3b748lyDD8fpRohXhmLKVLXr4Hcej/ZqCT+v + +CxAFQXRf/zVXG4XEdlQuuRcf2jIL3nmKNhy9+TXzw7yV7F+/RY91+c5nJUGVVCuuUq3q21fL8n+ + EsDGuvSMZB+xXlDTDCAtGmF43dYptyDbodv2kWOlLY7hNOCvD1mmpEwbG6tfW8ddhiLRU9lRym49 + ddt7h9xAASo+DKH/0b8EilV2ZD/7Np026VcEviQW04KTna7Te9lAsI03WBW+C5/dFDxQ9QZjTuDt + zhycYevfM4ecju+lH4JkjkCrdjHZXw8rl2dhX8BXY2/cb0+esVbiWwX6eZXRDSv3xmJkGwuMyf8S + Ip5aPrshyRT74zFi90LI+8/mq4O7Njy8+W6ROxT3q4L892Ghc6Fc0lkp8IIuV99nd3mSXIq1YwZp + UzCqBadvOp46r0CPV6bRbu139byXlA9Y3m3EqzCOQh7s2i26on73q5/GHG/2OrodrDc7FRXqp253 + 3iHCqcIMF/cG73a6CZf6YDKLyPdwCevYU6Z48Nl9Fe/cBaOzA/b1dqDWyWlqzl8rCXH1dqa/+U/A + 8kaRTkb063/Deb4zjPLnJmZ7SSpT2iaqqLitFzMSanLIvOe1gW/o3pkTJbtw9tqAQpbonLmVr3NR + JqsXEP8oUXqgNhp9uytR8H4SKrRrzRWn7L1Ajs8h5u8IhVQwwp1aC6ZCrj//m/EAxRFN14NPVXP+ + 9KwhUYCa6X8AAAD//0yayQ6DOLaG9/UUpdpGpRAmm94xhTl2EjIhXV1BRgiEMNhgS/3uLUip1VsW + DOYM//+dU3Ykd9WoHT0XEmhl24H6dkr5GN1LCNbL7Q47QnjmHWZVDniGDTTYlyVvS5+asB4Nn4R4 + w1vGhsIDoOxW6LOuIOj6XaZDfO8Nssxtr+Wrref9/KA5qKXFTumDgCk+MGooCDsBhgNs7QPC8/16 + q3yrcCX3Kt10Tw5qKAenn965T/2EHcf6+vOHm04aQG3sqjvUTxXHpraNw1HT8wP0a0SxsUJpO3y6 + 5A6XT9elm7W3biUnkB2o7UQRG4Kktc1SeyxmPYwfSW63rAtfjXZ6nY+Ehfq1ZVYb29pUvxG41jJn + m+xzgVd7uUQXVvctky55BL96PJLWRXlRzvrinl63eLcTo7gHhWjCt1hLaFg7CS+xYeRgHewTuhkO + Nz4G21sHJn+N1OS5jemrd67yVE/orJ9G8/Dwfv1/M5oS6F4yV2H7WK7o5vNhxTDn42Z1/2L74L/5 + WETsAt+rjYVN57ts+/dlq0LJViXsvTZe2xV4gFCq74A03jqMVxyaBEYBuxJtaFNA9rcnBOeP9cW6 + KHQW1wRNhrIvcaR0z4tF9Kd3gmfXLvHuBKyM656Yw8Hc1AiQauC98fRTaASrGC3abxvS9zH51Wtq + jrs85IdWDqCN3Cu1MFyHorRnEMZu+6DhdZcBpknwDr9yuEPvyU9N9d8DoSQLRNGrNej9OEbQRusr + 9T2k8LGmZgCm+kSkED7BLz/Vp/lCHIhSRvlbEuDk7wlwWtzO+QJyOa0Id56j1QhKFMDWlFO82V+s + Ygji6xZc6WBNejpp+9kf28LLR7ITetnqpHk6jDq1Q+LkR1vx8g3g5CfJWOx2ce9vCgjCorz8/K3U + qCkDmXGXsH7xv9ZwOIiH+fzoZjWMvFe7hoFwZURosCnkX7bUEdyuPUIEY98W7CKFEFwezQvr8fYD + WIyjBczx2FMsvN8//Q3Dw2mY4mHfMu4+Iw18VAPbY5GCkZVrAuvX8ELq3RTi/nPEDfxouf6PfmU8 + Z/BGlvTnJ5nn8lp7fy6YYik+t9+IjRE87YU1irX7qxgFQ9VnPYZ4ezSzSZ/e1bBuIrr225c1ZMjy + oL57LbEef96c785yAzb33RvrqQzA+LbXNby7VU1DYt14r9B6D8vaoNTeLE/F+LY3tbqwvzlaFK4b + cpXuU+DGDxEJQf5t2fWabOGLil9qmZ1rsdMTLcByKz4m/kEK8satAyU7fCBhyoduaA0262XCzWNj + Uda/K9gbXkvNXdAAck3iARo0oJMfD9oxbC6RCt6xQVZoU1okj8YTUMf7kSxJemr5unzoIGURxma0 + tECnvjYn1VwVT/J+JTkYV6LbqeeyXGErX78zHmzuDuwPZkzR7ri2OtRscvXp6Wt68yBuB8xIDoTY + yamVFHomWmUrgq++G3G1Wn8AkfHqCtl7POIHBt944gNP+OnsCKMUOSGz61sFbIPciDLlQ+mdLgRy + oNyI8qhLQMhu48H1elOSVf1qs7ELc6L1UnUmue2YQKi/GYTzeUvLRgvr8IRMAPjri/WXGVjDpaUV + mHmILoXf+TwOYIjbK3U+Li5+enwMc4iDPNllbOiVFPgVA9hYjZuWr1tnC+lt6eKpnoGB8WYAmXI4 + Y39vNKD1bM2B90y2sZGTe8b3BxDA3EoJnvX/EO/tCs7+TghyvyB2Tg5w0gPYwsne4k2Fn3N/Ratd + sw9HV6xk2I9rivUyca3V1uJ7uD1kJ+wm58qqxsfxAvH+YNJtKmeA0XJ7UeZ4P2nZChQ2BzpQwKBj + F4ImZiQZVW3ON/dGCmsojnX0i++Ztw3yRz9pzQatkVR93uE468+pnyD1XrqZJB2LGgaZlf34GZeC + dQD1XbHE/onaQLhuoQomfkqWUnwuOIPeG1hNcaHGsTnFU72XgRMoCg2T8wuMn6NbQ+fGX0Twd9eW + vowd02w58KlJwI1/7MdngCQhHySbupGx/T64w3YfmvP9su62kS6AWNqZ6uVgh/2kr1Rt5Cpa6bgP + 6QvkV1XZahCjwv2ETN91B5CX+WKu/yGb+VG1qp8ETDyANGoszP2bbl9mENJHv4/Ap6kv2D+uDmBQ + K1jBT/2IiCr352JMvVSA6s2T0cr3UNhck5jBcchX2I4/eiEVuDFhlFo2xlIjtAM2gp/fwqH2fYbj + 5NfV/fod0pmXcmwpnnLC8IqNRUOKuiXSFayChUlWd3UIx7NqPmFrqil6QrvJ+jzwGujkzgJ75Oa0 + 9f0tpPCxDUqKnTbMQB8eBChvD1fqL6MgnHkX2MupRFTl4xac5okIwnJ4U5dg2SKe8niDeuesqX8/ + X8BAE2hCo9MK7Hc+CKmRRnvIw0WC/eVFt5gbKN7ME3DwccN4MMuRKDOfBA1zwHjSdB3yhG/ISkm0 + eIjPQFRkL1mSxRDSjJf7eFBXa4CwNek9lngJU7vweqLXZTdmw/4YOADk6xV6M8Hlo56mHiiS8Y4t + 8FBj3nmtDU+PjY2n/2+t9nvrCe+VK1Pdplcw3GLSgN24p3j97l/ZsBYBAe8n+CBw+Lp8gFatgvao + N+QXD/Kx68DeDs4ExrgLSWaeGFTJu8OodeSQSfZ9AT8SFagzkADwI3nJcPaXArQdiw/9cFLvJ2lL + 3UT/WoTlOFDDvQwxhrQFRNNaAt+yYOGgiI14OEuJCHdUUKnvez4X9ad+0oivh9TUPkPYreszgWp0 + v9JJH/IxMYsKSOBQkE++/VjjVD9BRA5PitKyCJkNnwKkYxFh03ZyMEb3HoJXtC1x/F4u4qaMygrq + 3cnCUXBqw8F/DVsYu98HPkzvT7a60EFmCzu8m+KPmQ9YQYfnDGXxeyhGWxk88I39BBuG/5r/1wDf + +Tmjvl6VgMVpcdWay6rHEeo9SzwJ+wggWI1IpHuxoF8i7OfvwZvPgrar4/ljQsXyPcSn95vmJ3vt + Wb2O2KSrHjQLND5nP4FGZJqxFDvnAH4teaTG53rJ+pXdsh9/dfjtVgwl7iMxHQyLBqtt0A4Klt4g + k+SC+qkOOMnMOwPeo2Z0s7vHLVsTW4Do/FaosXnQmAlK5M3+Fb2R4rR8rTRb8GwrH73qF22HdOc1 + kBmbHdH8uGvn/IV9eXeRfPXGtrdS5wLXQ+dQp44q8NUPjQqXm4WIdXUZW2OxuJ9mfopELqQtj9M8 + hQcpfWI8mE8+JBJy4LXzLaS4Eix+/h/zTkX3UNnyL1MuC5g4DqI2E1ww1RcdFAtHpevMqayu0RMd + ZjhusGPv1q3UeYWjzXxKl0I/HJeHrwhYtXjh9Yl+Q5YgQ9dUJvt0r322YZcl3wZ+4FBTm90aztHb + PcDwgy5kpTZBJsCVLcL348HQIkVVSE9C4v30JqrAaPHyYpkwYOhJEb0dLb5A8hXw5vHFet3cQ26W + OdPOirIj0sT/Rum1NTXnsTniUNtbIX++6ALa7KiR4fKsQnHhB1sYqo6O2GFxALS8hKZ6980rjdRP + GnMhuKhQKNiCbqb5H6+7IIfJaqfO84qWY/95ASi9vmh0tk4h44YMoZREMTZrw7YI7G4QTPoUu0Rj + FokPAlImvjv7z4wHmWrDt9hIVH9UK86gqixghncNtgZUFOPMZ5Xz/U0m/stX03xQAXqn0Y1nLttB + 04sLbEilEYF8dSBO8yblq55udO12CeBDGVaw9OyW2uIS/dNfOq8iaDzvnzFbHmoGD7t2i03+lTjj + xrCAvUAojUqDxBR9xQp+OifCm2VhArba+pE6+wm9N0DY8oY6SjySCB/3Bg3HT9HWMPk2e4rDpIy7 + eG+/4YWjirD2vgXSsQhTeNhurjTo9K5gnnKuQEUVjB2sKFmPDf+phFZzwKH59NqxW/MrhEtSYtOr + HS4myDdhTIQCx44vWPwaLIh6kw86xaXMCprL78XMd7D9fOyBGH52DZTv8mfqrwKvlexkQ/VbyNi8 + pzWY/TYQxLqaeBtrf/0usncCWcrA4Nx11QoA0xup/b3EoNl8Nio8Lp41DTxeZn0ChS08f4zvNM+6 + ga96OT9h8dy6+Oh2ChiLSE3B1D+pJ53cduKPBNKoiIkw8dcRrfLFzN/m74+/M19s9R4RGlOeEdG9 + 3mERPEX80x8pChw48SBqTX5tTJUFA9M8hYbRXedjIVMbyC9dxvE0byTFvn5rY7QYSLeXccgyD+nq + lD8/XtdaovyEnF0cauzELuOFrw5w4hekjUHfTjwUQmbgHTV3LxeMO5wwqKHlBonHLmiJeJTvEPfL + LyrO78TiztoToIMXPUby6xaXVtmpv/loGL+3xXBZqiJsniyY+XArduG3hlN/RvJaaDM2zZuhlNYu + xniD4zEJLwd4YtxHEAVHa/hcUAS6lCxmP8IptpQAXsaBUddFDhhJoi5gfnADxBTuhPy54kj7a94K + +Pcff/75f/OGQVXf7uW0GNDfx/7v/64K/J3e0r8FQfybir9NBNKlz/tf//pnCeGvb1tX3/7/+/p9 + /3R//etP+Ns2+Kuv+7T8n8t/TM/69x//AQAA//8DAJk2zafhIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c68b7e120a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:15 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '162' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 8275fcae9171cc55ffc4f52e03774dcd + status: + code: 200 + message: OK +- request: + body: '{"input": "A grocery list containing pancake mix.", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '115' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaXQ+6PLfmz59Pcec+ZZ6IiLTcZ7yJvLYIijiZTAQRARF5aYHu7O8+wf/OnpkT + E5FYaFfXuq7f6n/866+//m7TKs/Gv//56+93OYx//4/12uM+3v/+56//+a+//vrrr//4ff5/d+ZN + mj8e5af43f77sfw88vnvf/7i//vK/73pn7/+NqLoiTYPiNOxkd1lf9QuLoGPc5gu5p4voJnnPoKG + hcDcTc8QoPbgUC1pBMZig/CQuOlIffl86NvNoQhgNIYfbKVUqJZh05YQXMlIRI1Bl6WfOQR07F7k + w5BSTZbw4ST9uHmgdgJS2h0CuwQvQZypX1ulO2fSvoWvQ4WwitiYLimfOvA+HHiyOeWLO1dzieCS + DT5a1ueZzmFtSdAxeXpQ09olg97xUONeATZP49YdvqeDBoNqcpFk+Md0XqpD/We8OHfDaIy/exGe + YidEdJekgF3ubJK6QM0Irx/miphg20LZvN2x4xowak+uIcAttWqsf/dEXyZxd4dF2G3JbrnkbGwL + kIOD3uXUtOgbzEWnSXDmlx3ivu+lYrvKNIAQ6SV2L9Onn4ReUeB9OPJocK5+RAJodvBDsz3G2q2t + lqQRM+heWka94bRLGahLRZbN/YCREj2j7jf+d+zPWHVdCQxILk24GZQ9AqUAolmZswQ4l4gnoDSL + dLK6rwd7fu6orzWHiperPYHkxSN6ycgLjCdt9GAgky9d38+l37HI5ROtc+rP5imltXHvoD1Jb8SJ + IepZLLYavN5cF1vybVcRfXkg2B7vAWGBzKq2c9UWfgcnp4dMaCKCz9kCGa4brOYKiNhh+7SgXoAE + AVF7usOU2Qn0TpsbxdOrAdN83NaSr58hmbbPQ8S7vN1CpwoGtJ8nPhp5TiSw3kgA2xF5A4bcrQW6 + QM8QhNePO/ULKEAk4g4fnNcVzNKFSbB62Ftq1LudPhw+hgWf8RkTzgnPjL5bJ4TgNm7R5sOUaIn0 + RoGGRCrC64+nPm/LNoHit3+j3fGi6vPyMnK4z14cRpSfddK7nxg+4xhj60G8aNrYXQnObfPFSlY5 + bHZZU0JH9h1sztYuooft05FwktsYy3Tjstq4tzA1qgeSPq0dsXX+wZevj1RXRced3qmYQJxkNk0E + ibLx0TYciDPhjbHVftKhkKgGiSVF2G4lu2fdJbzDr/DBZE9VvZryjwXhrhdsAgPu1k9BFUqbUJIK + 6s4Rihbr9uLkePJP+Ejjg76l11oDfXp9oJ1zvoNl4rcObCrnTPWhzdkCwyWDyeU5I0c2Yn2aN7MG + 97cyxJopvdx5zS9AOCl3bF/kup8a/wNhIdUuRfG06IQXTgZsw90bOx2+VLOExQJ8jq+KmtP0ZSw8 + RTEUcy/AwfEzuePTCB3g2GcfJ7XP67SXvfDPfKPvg+hTpt/O0CkDi97a5eAuxasPoHqbNbRPYJ5O + WkUN8GAfG6vTA0XMSb4trLafnP6et0yFcwAr3miRUHeSTtyXGvzmGx8Cq9AnqchagBpDo+rnU6Xj + U7tp4EUeFnrY/gnsYqMRgE5FRqPv96B/ZxB1MG7ChewcY2Zkk4WSPAUlQDU1L31/oNECjZD5WO1i + Xl/ClDdg8I5UfKAAV0zYpwqssdpRRYzv1fR+sUmSNpFBpvX7mElzK2/64kM9o8jS5e60DmzOXwcV + ZWeAaY0HsF/gE5UEHPQ5/ogLFFVfpipkR3eadRDD/cI9sY95mc1X/9XIe+2IyJLkYcRO13iAm6xy + 8eF71qtBfi8CxHNiENapSzVvB6LAYToOVKHiQ1+Sdm6ALm0F6nySIh3mA8zBhQeYqp9NwAZX1EUg + 1fyZ7ON36i6bMg+kSh+/2Eo3m4rVSpAAIwwBYcITM4b1qQVPT9RI+9k26SAliQPPeeeQKfBDl5Vl + bcDPRbPJAmYKyFdQDPguIx1tv1nrTk4YWfJxi2tqlAlNp2iSG7DTRIyY2r5c0pBigTObIorRpou6 + dEokYLYSR+0sG6Jpulvr+uf2b34A7U6BBQz7qmBTV/Z6z8Z9DqV33FCD35bRd96d7jCp8i+2iPet + Jv4Ua3BjHCqK1nw5PM9CCF/i7YO28Wars5thtyAyr1uKkwMXDWUcIjl/Zxx1ppiu9W1w9rOaePgM + MpROThBqMPtMW4yg9u7HZqck8Cb5G4yE9JEyfFxEKPkpRvNaDxZOKE3QPUoVta/mA5bjq8lhl5dv + jC/I1td4seA+fd2pBr5uxN7E70D2vHqom2LMWC8bIZS4ZaEuGTSdL/i+ld5IvFJE4bZfPAt4sOEO + MY0qKYmW7i2U8HXWEnww7jIbMjVAEN/ykeqnQ+KO94siwewRG/QoZjf9OwQGgcpy5VANDAWwMZd4 + Kd0mBGtzeYrGaXMR4SNpTSLU99mdNn49QVDaOUZrPV1sNRKBVjWIHm04pmu9FYFe7BMkpjSuFqXc + JxCzm0cd2ZMq9jltY7jGI/ZTaVzjt9H2mufaWKO6XbFgfotQvz5d7KDzK53OCS1g4F1N7Ant/b/i + IYHilnSodtJF/NaNLHFBgUC9nV0KnbsA2yGasfMpavBV+psCm0tPMK4rUI0XKgfSqrd++bkid+8b + SGs+pgdx/9QH/pjcofjpHtQkJ8397UcYbwhHtobDA2Kc9QX+9sN2cBMwyb3ggV1+rZC07jeCw7QF + 9EBd8rygr/vTa2BngCs+CGUK5sFSPPlGGaKG/tjoI6c6IuCeSEXK+3XX52ruPHjQ2xyx+1DoU0/2 + IfTCZ0/9S6RWi3DgOTCJXIW1J6fos4dvZP++Xaw1zZzTyRV1CXKhT9DiqJtoHEJfAK+BC9HmEMjs + rdA0BBUzDaxl6Jt+waYRYV5BC9X2OYhm7eojcH52hOqfUGXTTz9UvNniQ0w9l5njvYPfwcpJfLjC + aGlIO8lWe5SxzTVPl0rk0wKdSBhJqXasJt5PFwiKrkVCymP9V0/AnmXzTy+wsdGPCLgX50Xtt7NU + HZhdCd72OKXeV+JdlrOQh9ero1Plpmds4E4fBc4pD6mJzZYNyWHTAig/nti7v9VKGN+ns1xnZYDA + 2897dvOQA7+apxAJ8r5bE+5iQudy4sm4eydgIOJpAGUXZVgP3o2+6MOJh90nL7CdZV40FHzVweFt + fbH3GJ6M9cB1oEvqkWydE2HTOfmU8BzYKjUIsfTtEB74P/rvLYQhYGy7hXDDQx4Jp+2tYsahnaB7 + dL+EwVh1d0keCNLzujsQuVQ/oFc1d5DSx+NK7W2gpXwhDAsc49Ij4llU++227Sdoqk+JdLA23B0o + WwleZ7MkwlQobMsrsyjfyNRhj+3tnt00qwSprnywvS36tPtKWgyJnbzxOt/9bJV2A4/6lSJuy0zG + F0tX/p6fWumx0AkOow5e1LJGe8wRxmZPgzCXpYaU5aVKR8gKB6o1ZgjMPQDkgKw7gO67I/RVq2De + WScEtE3F02M2+2wEGyICyZNkxIPhmi5jfybw3B2e2PukXkRb1vNAFucX9iYVRfPOizKI75sKWyNU + qqk5VDn8jq5G13rY88Ez6GD5DUXqEr6p5rC81zBbqEjV9NRVkyILITiI+kg9QdHB8rIfCPDyrJJV + TzEGmsqBXIgJygZ7Acs+urZAv+Q6xSeS6tOeLzJwDyxEz2VCI+rcuwXEKa9SFfZaNcVTcIfcCTvU + WN+HvgejhEPj+vR4fHc6O6YYwnTYHAjVblY/lfcs2yVyeiS8Nhouf0ZfCSLsYiIhnkVsz82eXH5n + B5+E2kq/9Pa2oPfkAlLYXJQuqtPHIHFKQphDeECfF/Uuk5eAqBFrQjUZm7sHrtfugo35Ladt8Lot + +3q6IezXBa6WQPTu8MGMHZE+0wiWfD/HcArVGfGcLvUkTKEBaWFDND/aEUz357f91XOsGkMUrf6y + 2OcbQPA6P+6S7/dneJPwBi3gpqWTVOcSwLMYU0Xf3VzapY8FBhwCaNy9RTbnVpaAYfO+/fFHw6p/ + 4bmtvxh5M+zpS5wV2C9Lie1Vn8zLGxGoue2OKkes9YLOxzHwjlqMDW1r9R/GoAATV1ewKZtlP92f + r04uTzueKtz46Ge002t53d9oG1NPZ8R6i1CaTl8iXpTGXS6vMIAh2BvUC8jU0+cTK0B/pR0208Gp + PvnuYsKmtkTqywPTZ98PGihInEg9Nr/13uxvBQg244yP23fFyBIUMWyPUklAdKujxefpGax+HMn2 + YYy+xYRC0N/OF5rOPWCzdOMcGMjDFzuqUOtsb8BWumiKQAAPCjC/LhsT4Fs24kMwxX0/7BQRrnqE + zMb5wHgHJRJMteJCPYQtQOzjNRTX+MIOqrtosobuDEOrvCGY8UXUbg5tCM0cPnGaXBmgfuvnoHEp + RnJaFvpc384OFIYnQZlgWem6/h18FrNC9WqJwHwcjgjuFcOk11I8AsG4Hy2oydqdGsnpki6Pu8vB + /ZL7CJChdOevVipQqmON7Koij8jjbDVgW9g2PWRcx1Y/YALXtA9kofq3n69um4OfH4dCsWXfvktF + sBvjDZlo4rr8yi+gqpwFUkTbOvqK/CH+6Ru0s/mWLUohBtKBHBBG33HndoD5GvT2yQNtSGi5W0IX + A55sm8MO40r3a9QfCaa69iGcv5RssIQPBFzXx0g66Ys+nYNeA/u0uuPDIxajhZPqMzim0YHMBr9j + 1O/MBgj2Qf8TXwMRb0R64/uXMOHaR7MuQR60p52KzYtfubOyuy4wrziLCCufYNmVkl/8UOszvsDy + OtwhVJMpR9Gj2qZsvIsNnL6b4/p8GqPP1Ftg7O9sJKmCoS/28Rnsuc42qFEGHVhwfBHl1Hg9KN5Z + IaOWtD2D/r5zfzyJTf6DH+BRjT9I7o9p1alenQH7Ji/0YGhTRNu5G6AB/Rs2LFiyqSdz+KtX+BC0 + i7uYbG9BVskCddbxR/mRemDVW2STXiqdHrZXBz7mWsX6cWPo7ZTZd3AbJxNxwanrp6nQW/gaMoWG + 9hynk/wSG2AMY09/eni4v7rljz50eaAwVmUF+el9shW0LxtEjphAsOqZevDZ9yz0TwY8f98+dWrl + 6i6q1XlAiNSSyLN5itjY7M7A36KZFFnVgQXGPIHhCTbYP1yE9McvQKUhhjb4iMD0mr4JWP0cdkVt + 49KyITFMHC2jZq8+dNpv/Lt0GAyTPmX6dKdYyjXJ60BE8ZkrXGa4gwN2+aXC3UcMI7KuB+hbQcfX + KthGtGyaM8zfmwBNQLDSSe45BFYeSLaMue4fXuAPgUDRRlJAfzOd6Y+em2yBgGljl6Wsx/mHTA6C + KdukuwmKn/aBLaO0GDv6lgmEUOEwPsV+ternEsz6vsH6NUv1acq14o+fOMZdVLGxYBwMQ9nBmu50 + 7rj6AcBXQvXz8257Rl8R+g82YHerv9OZOZsCrLwCHwY3YVRVnAZGxnnEunG0wJIKWQhzV/OxPlke + G9zFKiFf8RV1wd2KZkefLHndL9g41LdobvSjB83gEZNnXaU9yXLTg5y53P7kX+FlXxCMdjTB6B4o + OpMFE8JfPQ7iLOinXbapwao/f/5Gn8+e3/7WExvJbc8mM9gg+Mu33lF8V3/8EvrU4h+/TYk5LNA7 + ybff/LhTeb6ZcNXLBK56gUf6u4Ar36GWVkXuLF2ABGGkUKyV4wQmgWqhJEeSQt5XnOvzIW4VaPm9 + R3//TyZxk0jlactT69Ucwapn8n3u6xeyW/PnEC+nUj6MDaT63oR6l06BCLmnp+Lj8fHuh/Zz4uBL + TD9UibZG1K96EdyOl4YqtOX11pBPppQaqouRGJK+7oXtAvAiSmiq7hswRd3iAWKJ0eoHH4Dow02A + FvpOv/rlki/UM3id6oDeg6rQGTSDBhJpsVYe8OxnNCtIlkc+p8fj5aVT/loX0GqMLdXskxHR4NOG + sEq7DbZkm1TzEB4EOHiIYF+GmbvqowRuj2OBjfpp9yu/u0vjJjcJlbHvztPmIUpZfm7xTy8takh5 + sOpBqqbqq1+qj53BZ3K9Is7RXLDo5M7BnZEesHtpdZemPSiBlCZHAu9bpweelFgwimKbKg7K0vmQ + fJ0ff0XSyo8XMNotcIu3QJ2AffVBP1zaH/8iP97OTpdHA0+Je0cTDcx+4cQewVmVcowC9VURjG4J + HF/yC+MHxNH8qOsB1NO+QPPKo4Yzeonw+WL1T9/pQr4TPcmubhus3/m6X8LXJv/DQ7X3Wdank+9D + qZE/BjWlTZsyYo0SYDeFEfjIYrbQ06GAj7sFf/qmWrCXBPC1Axc0lZLPdkVkBbCAR5Wu8b72C64h + zD1txgbISDpv61f5J9+pxZWryLrK4Fef7mu+pMToW+DINCOpBj760NI4hyegMsKvpIb9eOzdHFT6 + BApJlzvqEuA48UxE+RTpTEztGqz8mxrAKBjjb+9OspMMYiPdH/vVHyOIcqfHrq29okmRuRD2ijhS + O4FcxFzjIUACpoG61MB9/xtve8WILIQpFf9gx0FqpQUQ6Uv1nljXQoC8u/eoavBX8OOdQL2zBluv + vEon4BwHqVI9jJMptdLRaj0OaJdPjDZo9wYM27zy03/4NAqaO9u+PP3J96ke8dXMHXwHiiqWEbiI + gz6fEZqkXpFGbL56JRIafrDgO4lrimjduss2U0V5LDgZu/hlse2F7Qogi+yFeFwhNqcck+CC/Q92 + jDcPtu/LTYKrfkAwiHV9l/mlKX+35g0rojlX352XZiD7nnqyxl+1O0Z6DmukmtS3tka6qOjdwBCC + Fmvg20fTlDsleF9jhcyye+6XA7KSH49Y9cmVETX8CFBNQo+u9dhdeOFmgMRTa4ql6R3N10tjwMAV + ePS9yEa/TGReoOb3G/QeXBEs5ixqf3ieFICxX4zYkMD3MHJois+eOxib0IOb7dMkzPhIbNQungnb + /XLF9ldDOvvpf78PQ3TGIEunfmElYLhpsH0MrGqa7kooK0gOyfxIatb+eJU93SO0xDiq5uOAETgM + dULErt65EzD9DKw8iP54zmAtI9lzZnDEz07iemaJEMEyF47YFjF0yfauTEBzLBVnGazB8lKDQRbA + 06G+xjG3mRaoQfMp6xTPasKYk48aWB7oiT40Prhbl9YhbEHkIyGPYjB7pzsPwav3kFy3Z52N5dbc + v5F0pcZ8OUcTNLwzGP36hM/prLvMuZeL3J7OFLsrjxjjz7TIOr2/sD9xAxhc3u5+/Zkfv3e3V/9b + Q/0oP7D1EAKwCAfIgfSx+dLjzQZp0725EvKO1FJ0Dwqd6dWyzlcSYQ3cynT+GpUF8+ZZkuETfcCs + sEcB70cvIrXt9aDDYdqBgPMAKfU706nh1hZ8368DwodABmu99KAhoRO1206ptisvgqP9ErFj+J9o + +vWrKtbE2Dnpob6jXIH+8HG8SwBY93cAVv9FOlWo3fl6ISZIOCBTE+dCOl6jgYMZ3ub0ELShTq/d + tYEb/X3CppxP+uq/Owgv+g57Fduz6f4eFUlqdhnVsDhFowmTBXLdN8b4w4qIZn5nQDkSFXp0zhLo + UNs28HTpFBziqQdzbp0TyMPQpcqaL+ewTgfwIps7kR7fCOym5u7AVS9S+2jV+uJWzv33/lgNpE// + 7ZtTBx+pW/zxt0vS7mtYBjGHtfLxYcumuDhw3GQmvn+Kms3FZIYStOuSKlmPI+ZklQTrJqPYlWe3 + F8LbwsFLKp8RNIosWvWsAdZ+1i8/9yO9lCLcbB8mWrb3AdBpuBTguQltspRjwGrtWsRQacFMdtvR + iqbMzzm4283TH570p36ufhjB+/vVkxPvWNAlRoqf07dP57OhWsCa1DPVVn7TrXwabh4vik1yM6vf + fgUOQBq2zqJazVe3yAFqmjPh54MbjboIyJ/+43XVJ30RWSG87f2UCLMSgumkWzE46hdKfWxobM3P + yj4iJxdHD/cIfnxchqXmEmgoXTpF7WzApnZErH86HLX9IFrQ298fZBaGAUy4fybQ14QOjWS39Cz4 + fhP4IdmFni+d7bbbnbn89DkCtnNgC6DO8uMb9NePW/3SBDZ8Xq79k6qnlGsRVJPAo87DfoH3Gp8w + cPjg1//qt4Njn+Fx69drPm/B6icQ3C+ZTwRy0vSJlt4EHwrKsQ8e52i+9EADOOFSerhiTp/pqe1g + U3baH38yW40rwNtZ8MiP746rX5X//p0K+M9//fXX//qdMGjaR/5eDwaM+Tz++7+PCvz7/rj/m+eF + f1Phz0kEMtyL/O9//usQwt/fvm2+4/8e2zr/DH//8xf8c9rg77Ed7+//5/K/1rH+81//BwAA//8D + AH0UA4fhIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c68da81f0a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:15 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '303' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 1e17820dae161f47acdb4b16c759cb46 + status: + code: 200 + message: OK +- request: + body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following + text, covering the topics present in the text and nothing more. If the text + does not contain information, describe the type of text.\n\nText: \"\"\"What + is your favorite color?\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": + 500}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '320' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SPQUvDMBiG7/6K8F68pNKts9XcFHGg6MGTKKNk6bc2Ns1Xk3QMRv+7TGRen/fh + gfcI20DBDKPLqnX7xEX1VvCqennu1+z9+6N+ze+7j+kBErz9IpOgkOiQasPD6ChZ9pAwgXSiBmpR + 3qyWi3xZlRIDN+T+9KzRe+uNzfK8OPkdW0MR6vP4O0NB3InvieIpKHTsrW/FjoOIPBB7uoxip/cc + bCJh2HG4goT1DR2gcgnH7Rh4G6H85JzEznobuzqQjuyhEBOPmDcSU9QtQR0xBh7GVCfuyUeo64XE + /6MzvpVInLQ7gzKf54sfAAAA//8DAEaxPU41AQAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c6908a8b0a63-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:16 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - text-davinci-003 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '865' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249500' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 120ms + x-request-id: + - 9a6da5aea5e60351c57ce201451e9983 + status: + code: 200 + message: OK +- request: + body: '{"input": ["What is your favorite color?"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '107' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VEpQ/rDgGRkxQBFSeTCSAi4IFTW+jO/u4T/K/s2fvG + BEqCpX1+p6f/8Y+//vr7m1Z5Nvz9r7/+fpX98Pf/mu/dkyH5+19//e9//PXXX3/9x+/3fzyZv9P8 + fi8/xe/x32D5uefj3//6S/ivO///oX/99fcZ6z7epWjZNRd+c2GRtyvqQqWnQj82ERBDVShmht5N + WA56YFJ0pbZVPTouvwUfrrvG9cB77RFfZd83RKggVH1kliZoF9CR7qmjJyhojcizojZCx9zCnvj6 + dJONkwRuj0tND+JmCPuLuFNAMymnmr3XK55N4gLoxtGx6+WmMz6ObQnP3TGj3uUhpH0FlQfbyN0R + 4fZqU5IfQhEVoVZS43ySQxruvj1Ir/sVO/azQN/X6xyAGBxib43vV6dXq4ChUv5gwsEu+JStCAM1 + Zqr3OHV69fQU9S2TwnuSMR8+DrMR1Gg7LFrsnnjn8EjzTZQ2ao2PdzfUxnRzecML7As22DVJm/au + l+Bdz50nDuo6HGtUCnDaZwgrZpo4/O0te1Rbh7O3Jf2T8+Ai+tDsLhlVtTvveNGRN5KbkVBLuJyq + RihNd3t83A7eqmVauvYOuy8kxQd5TZZv+cTvxUIGMUi9r6Rt0fTaIBUV7ftOxjcqK7Z7dhHczvsV + maztwpmUt7RAr5O29QYqxpy9rgcTtMHR6OFotlW7iU0Fqr3tUP2c91V3fXQ5uuvwJKOxwmmrD6wH + xWsd7HbK1mEH7aiCn8d7HHDjFY59USWyI70xeWLNRsy2bSbt5OOAnVtQd71ALxfIPt8zNtqhrcZ4 + SQD8RKg8yfCg4siNY0TYN6Y7Y0XT0ZUED7aSsCRTVRl8BX26AbxdrAhPZVyxi2ipULhCgq3roHaC + 3/UxbC7qgR7r50Xj1m3no3Fc69hzViSc7vs6QdZ5nLBxDHaaWK0yE6JT5FG8ZZFG+9XmDVlRnbB1 + Ejhi+/EB8K3eN+zWXd+N9cOrYa/eONVUtqvIcctFkNJ+8JgXfRHD+lOEVbXNsRejHPFiC720SuoO + 3yJ/EfLddPJhhbIbNY7BUxvqISOgvw4fbERkh8QtEzJQzYtDJKWzuYAbAUAyLYcesumNRn17jWEU + FpTuTo9z2sIRC5vWT3RPqLEfTvVaq9F48HrsWNRwxot98SEfJ5cq1VNEfUfHDZAwcj2Z6VE3Xt9T + udRz6UH3ZP8OWQvxG5oj2+LDS1HDtRLta3hMloBVt3t1/N30JYqsMcBHpgvVuPFuNnzj7eQt7+Oi + Gjp/EKH0Tzq1GA75GLS9Cq3cY6xE65MzXadYgO6QbekxXxthfWcPE05SpOKsqD0+JsKawNHyFOp5 + p5iz81vLgXEcYq9UA/QSQsmAMowpPmkf25kCPS4hsniAlesiTifsFBuZGIpCmrpfhTR5Ny6ELC+o + U3w+3QRNbaDPd7EjqF5pGnNifyPjplhQZWdcnQHHS1X61Qu3woZPpjxEoL7aqyfwzudCvUi+4J6w + R+1xTVKapeMCHDc540Ox1bup0soLNB85+X3fiksUjH+vn/pS01ENMhHatxV5YynUnKxRR1D5iU2y + dvGkkSx/TpBzWfK4FNNqYK5wAc+4y1SVWRfWnjrFaLy2FbVIv0PDuxwyeKieRuB5P6SCWFMD3Q68 + wXomDSGJ7i7Afih8HG40zeHfoibQt4ZGnXx1CSdBBRPdU+tL7cNh5Yy7bRGBoK9E6sBVRqwfmwsY + L1XGh9u94hN5Jhk6QcXItjOXFV8cxQ34x4VHPUESQnZ3eQ6256X0h7/U7GkMCLkudYT4WTG6uyjI + fXkfrHZjmbKyH77w3iPF2/JL6kwXsgVp/15r2N2cTTRF28aDr0o6IvCJdJ1ZbUrktdujR3a3Whs3 + 3sn8Uw/2Y/NKx4hKFxCcSvOmbHx0bDyFNQoO3pXi+5hXHcmQi5Kj/sE2et4Rie76Aoq7f6I3hjli + maOrMG2vjB6uXVD12S0wQR7OPjXoUHDy2w/aRVt6U+bVDt9Z+QU+yhKT6lMQh3wWuwhtF/ETW535 + qOb5LNAVThXdhfa3G6stSgBOa4cqq+LB2fkjSRB6VKO7Ibf5gA7KBC9bHMk0RXY3iPYUyHZXfKi7 + apfOtEYVkau96ZBFNRgOY/fJhwx3JXbylZjSCV4x6FeeYmsXZ5xoeFBQkZhvnCuF000fijzk3psO + qzOeslEHCRnf+kF/9UnN/pPAWgmDmW+qlI7VBsCvP0e8W0srbfKnLkfOjTyxam0X2oAOJoMFNwzq + VYOh8a25LdG5F0NsBYMbrvr9opbuy/eG2ubWSP/wxTU4aNg7a0U4zvODz+QLWJvA44N+5j0or9DG + 7vP+CbngBRmUkjZQSz2t0ufLKTI0Xr8VPoybtcZj+lTB3NzfdK+dj44oG0qC6vftia3cbxHRQ0eC + 9PxQsWF/ruEkrycPvkJ2wGeWcIe8T58C3XeiiI0yHkOy2ugi9OsYz/jSOkw5DUya+RXrSw+nY6P7 + ujzzL9U8t0zZa0QLOMeCRJUm2fPxjuQczF0yYvc7tekg3swEud8oILz7OFw4fyZJeh2oQbot4um4 + 3U05eEKzxoqxfKGpOrEczudTTI+bgDl8WH9V8FeaThWur8LpXiotvGxhJHywZd6L08qT1C79kMXj + /Q2pmMcK8OSYY69Du048Kdsv5IWUYw2dTG2QEiLBShFVIiutqrGAagH6nFIDu9SLKuaWaxc+K/Hi + EdnEqCWbR47WT0ehJiKDNiK8bmGeD47Ut+NMfn2PNgkKnoQTTUz54riQEAkvLt5pRR+yzXcP6FTy + AwFNPaTch+Aiz3hEDfwZuuaOVhkqhPOBHlilIHLf1/EfPra37piOduFHcmItYOaP0WHL2+CB09ox + KZ2OOsxTpVgeVrVFZz7qevvSZNB1koW152cZfr/7OAeL7xcEwfWO2HXNcrDkqcbu6qB1Y3h6tzDz + pTfkayOdwvWWoR9f6bbaIe68ripc33pG+sUYOiQWFB9CXjtkmZ3t6oeX0m+9f/U+XvjNQ6u1tPYW + rU9Str3nBNXW/oy1qzhyQo1XCzN+kaUqKZyfd9cJ9nf9hmc+D/lC3AqIr6sWG6LVhVyCYALloas0 + T96BxuzhnYOdGozu5a/O2ea2FJCjOm+yNHDF2cqZWqSWRU/3VVqkPFhuXVRw5ONjtF/+G/9XFcqJ + ZCm1Qy5khG2itDbhXOu7zrpZATq+FxpZQyk7bODxhLCYhnR/NKSuj6bWREZsfqnbKTeHRVf5AlH4 + hD96lxX7yoDDx/Mxfi0Th+XZqAC8xBor98VL49qK2XCy1Du2IblUPEu3C/SAuCLdgxA+Lqg0wVKJ + A3pHt3XIvX3gyvzSAD4O31b76WNwql0046lZkRkPwZFqjPeHzEbiMIw2tEMQ/1u/8Up5Q3yId9Rf + FUtEl5unL6cOibErVtdq3LwuNvjPXUfdcrpXY1btVPlz+Gbk02Vu15LQjZChWxgf0Eab8ZO7sFe8 + PbXb9NitCnwDGP3ng57VTKjGVf8uIBhFSo/+sei69drNkTK9LnT3eOwQc5zJheC2AmxajHA+KPkC + 1O72oYpjaN1a1vw3KoseefLW+VZjvxffcBXL0PNbcYvYS1FNeEF9JAvA63T03GcgK97XocF77DVu + 2dyEUPXfNEwdgY/nKmxRf9Fb7CzU0WHq2f2iEJsS/uPvjqaqgk11i7A6wRX7tl0NDrsWWLmUddov + PygCgcUO3bfrpzPBEYvSvSQ1PVwmyXlHXajD5SOV2AmDK2dCfIp+eo2sb/Xzpw9NqJ+6iS8nSNLv + fkkM4JcO6EHhY8oOgihAZkkBdhbI6vh3cBL0UF0Nm0Cqilg710duxBi1wreOGHH3AZx26IZ3GKq0 + tVXUQ7p7NPR4d7k2+8t4+w7GM81LdUL9QmEMHR5dROBgvTS2H68AHB1csr0ItkOwU0jwOFSZt/bv + x27c5bz4rRfe3QYfsdKyFugpGhWRT43Qjf5nbwOSbxKpGCmc9gMnSb4GpYS9t+VX7M27BB5L2NP9 + 5NYaLeW0Bh+RE6n5RCq+vAsZ/PSWkrmRNj2rjw3rdoeociqJNiSnTAHxbYzYq4a3w06mQiC2PhRr + +z0JSZY3E+SKyqhZiw7qesdzkWo/t1jPdhEayRQnSLWrLWFUZNrsX9/olQZf6jwLRePewWqhmdod + WdpbWavJSvHggrcUW6PphrwWQoZKnJ6p6/gq6q93p0WzP/W228uHT4Ut9TDXD1l81EbjDn+ZcKTC + wqsy+e0wsf7oSF7vJWwk9uqnny8w6w1vKRzVdJ0mdoFw4bnYXrifinwo91BzOPQekDNow9ZXajQc + BANf465xRl7EE9RatMd21hbpWA9ZDx+9GGm6fhvdWAZMQOuPcKQxL8aOxTkyJGOrXvChPlh8OheV + AMOzZqRsjmL340tkEgJ0N77MiqljsZFkqcuwPeMh4906A+FRZl5PzpnDxGOrwzvgZ7yf65v+ySfG + x5qUao0cCrvGRPw5JVSNlG83YF4JQMf7mtqkdMJBUT4iKuUXpuZp0ab8SY85ile2jvd+eu9+9YbU + CSqs+/kl7WM1F5AZQUgW2mdCox2OrbxEaoO98TWmpFt+RBCz6EB3nVqE1JRWJejXMSXyO/w4xD/6 + F3nGEwLL1qnW36Lu4VrCiI1gFSDurqI3ODDK1PlCgVg0tTb4XZDQ/az3iHZHJlhFdiObeX+t27Oc + Q3Ivc6IE6bujxVYg8k9fGTtRSf98r+XTV0gjYSXlu+nmS7P/IWMa1w6tsflFz/Jge5H2qKr6vhgC + mP2mJ01N4/CnJV1+4yQdhyv/rQd8lo75wxNEZrxBlwEjjNOz4IxpqGVgnB4pVuPDOxw7/yWgy2dT + 0qtkBN2YaEcJPVNJJeLqyjq6JXr7xy80s//uK+g8WB3JhXpK0XW9+YwJ2rVvEytBalQNfY39z49S + pyD7kJ4z/Y3MlbgjBQSflEldLUK73qn4UHknbdY7G/QnH0s2VGvzc7OAS1JfiITPfsfXYTHBevjc + yVa39XStfUpV3hn2xpNnfhjLYCOgMOjv+FguaodXx5sHbN6lbH7feMrOG9jkW5XeHuqrqpToWEPh + igkR61ORTh7Va7QSRhdrp+cr5Gb/iQGfny/8bcRSGxcLZQPGYnzj+0gPvMwPqQClH+rYOxC/49dh + W0M+TBPWUplW/c/vCS9a0z2ItjZ5qPLBO71TuneqbzcW78sCpspuSOfIEZqebmlD9mnP3tqSXilz + x/1FUnXW4L3wJRU7CAsBPadqR6S6ySp2K8oSpOd2RR0mLNNxypsI4jdCBC9YG1Katy26nr8vT0rb + hjdb36x//h1jqfTQdG+XBbq/A4Pu7gKpxqAPc3RkZMDmoB/SP3pK8sQYuzeTaOOMp9LMl9RK0IGL + 37H8yk+04t6k1qlGuY1qiImy/FM/k67Lk/S9EB3r473UZrzOpdn/YV+8xSFfZEcFmhML6fkRlR01 + K1bCajy2BJ30RqMNkcTt7Kfwfj9eK66lToSWUj1hT5bsaqKVtYFldSe/+gknU35doOkKoM5WTdC0 + 2rjidgIU0N0bld1vJ8Dn0GbYucOdT8GNGOgW5D7Z6sOSDwMrFuhUjgdPPAZPZ4i/T4BubBKsD5c6 + 5DfzXICHrjpWWXnrJs8acxAlwyaCh/SQvw1ThDlfxPau1tKp2RUBvMbtB3vrvHD4pwsXSNwfNbrz + tWc40tdIQJaajJonl3Zjty0Y6rkwUO1b6B2bjD5CjhufaaymHWI2Et4w85O3Wd2Kqr9/vgEsuuWO + zvmUNo5clJD0elypeUsch58WOwZN7jF86DPNEVqi5vC2shJnQa915HWwPHjFtuyxmT/Z63X20U// + n9Njjfrx8SRA4uaF8bLcO8JnbQfweYoy4bu15fCJPALImGx6yx0+duyg7VVk7y4HT8y0mk9LIiXg + RhOjeB4fwdy4cLhMN+zaVzscLU3Q5XAvmDgIt3bVHcJpAUTNchIn7h6hvR/p8qaUMqzDwXSm+DXZ + UIS7kupJXvLpyppEyqSTRDWu9RV/fWQdhpcd0J9/n/2XB18jOHrbZ860LzBkQiavMw9QNfBZ/9ZA + tZM869d11d5DqUCQn77e+oTNlJmbcy89D5uGqtvmWK3UwWrRrM8pJsdVx/aZmqCXF4fUqvynNr6i + a4Qk/dWQEUwfke4oqr9rekgnP2SfhCjgK47sbV+vI6ck4y7UwXpJd9eTkRJCixoS5WvjAPaxNgyR + S1C7D9/YLWrCh8hYxii4rYGsyvLAJ+frCaBpSYK1QyLxP/nTLrFPZHMOjyl3+GDDKxdtb/zkC20w + szGHGc890QxaPrgSuNKcd1Jj5U98dItDAsvPzqfaIUk4eZusBVEsvthhwiPk1VRfYGWbArbU0zkd + 72bkgfAoMmpscy9c0de2R3Peh52jWCG+zq5feBf7J93lw8HhL9HxgGXviOqstiru20Upz3mwt0Fk + cHj+PfRQlfn1l8doBNI7oHl9ybo/v1J+XOuqtHwGyk9P8bneBKSZA8epRd8a++7jDKD7CN6qXT81 + bp7bGOb8nOq3VxsymqkCnODJ/vj31ivEDP3y0B3WWsQiZRPBZbFvqPMBOxRtFRGkpxeZ4vQcaX/G + rzf3QNa8/TpiDGvzD58a8/dsyOTHID18jDOo6pCBfBPgXTUa/uXnQnX1dVTpJKKzHuaMX54bMDsr + wVoSQDqszk2BZryhRvnAjkD5QYDEeu5n/FQdHoydgax+I1LsK6d0dC07+ekJqqJI4UOwkexfPWDt + /K2cb7dQVFl0Nj7d65ulw0m3u8gzf9FZf3X8GroMDau35VH9PiFmGZ0k3dJRnf1DU7HquUjgbhaa + R2Z9OjZHY/Hr/+DjKyHVaGlgwBwlU/u2vFScaisR8jpTCNLoNmTk25TgCd0a//KsSd3lElRkI2Ac + HjbdBOkZYHsvOHXCYM0nJIQRmv0oWffLvJvSzsyl+q4TvBdFOeXYHA35c7z12LgA66YHucRwPocx + /embQT8jAvYz3Hjg8ohPdVtLv34UNU5zX8EM1Tdc8+WV6ld+075YfwpwXa729I+eu+BB+uU1BCLz + +rvewNFZv7zNUmPOiDbTG4gqnb3PuLlqQx6fGHxMPcTXYlt3/MdfBVIjElvMQ8L0vJnwiFZfsk4O + ssMui/Xml/8Scc4/xya9GxB8jT0pQyVw+Dlza8R9qcfedhdoE7t0HtBE2FBtM2Th9BzlYGv5aond + pis5myIpk1ak1mnq6Fk6rt1nD/eyr+msFzoWLk0Boifb0zsTcTj2+8Ufv+8J+auopmqV2dCk+z3+ + 1aOwHx8LtDr2FxpuhiwlZ+R/5Un1EVn4oHarg3L2IG2Ump4wVOFgBaoHDWk/hMkkTYegT3Oodu/G + m/OrkF9DnaGnkzv46DPQxruZuQhEP6Wz/0r7/qW28o2ylB7l4J2+ukHVwYheBnW+mhmuxmwrgf08 + bbDaHMWqnfNykDWbEb6GvcY2YqQj/owqbGrHdzcZ1S6HBi048dWNqa3zL+7Rg5Ye3h+XoUMHb9Bh + eQ/e+Ihu1/Tnd+SV8QkIM9NEy6Xr0vjpB29VrIVqelxv8Y/vvA0QrRtKvSWw8R7On3pldJcr0q/f + M/d/K0KeSf7rXxLpGW27Yf7/6DMFAjVeQxSK99L8ol8+Yc79xdaaRAMG8tCplz7sin8OG3/VV4n4 + 40/Unz/S5tf/wFZiDdqoRXoA50d5wK7jl4iIW8FH7VpTqSkSEbEm1yWY1qaK/etiE/bqWf8CHoyC + DHc3dNg93b1BXKYV/uXx07W2CQB1LrNeqUL+08PZxnDpr//D4pzP+ZPrY80KLcQoxwLat/ELh5nT + hXT23/KvPp1q5XY8WI6uLGDj5f3xT0syxXIdrJbeuIcLYpc08tbmce0RwVY7/v71wy1fKanbdCoS + Zr2LtpeUUntqGm3U2beEl5eE1LLecTjNfAq/PM/U2WaO7PUcNim/ks1xP/IxzjQf/OtpRxpUi904 + nMGELJmUme9stP75gbBQG+y6PEJTlj8ZdD7vqbJxmqr5TJ0C23Ghe4Lk3bTpmbAAljeqe5DdR43N + eSia82VqGmXTtdLUSejv36mA//zHX3/9n98Jg/f3nr/mgwFDPg7//K+jAv9M7sk/BUH8JxX/nEQg + fVLkf//r34cQ/m6677sZ/u/wrfNP//e//pL+nDb4e/gOyeu/3f7H/K7//Mf/AwAA//8DAHICMqHh + IAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c69718700a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:17 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '299' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 340a5926dddcd467075606cefa115ece + status: + code: 200 + message: OK +- request: + body: '{"input": "A question asking for someone''s favorite color.", "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '124' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6WQ+yXLPl/fcr3ry39BcZhF28d8wOCBtl0k6nw+SADArszXBy/nsHn5PT3Tcm + IlGpXbVqrVX1H//666+/27QssuHvf/76u3r1w9//Y72WJ0Py9z9//c9//fXXX3/9x+/1/7uzqNMi + z1/N43f778NXkxfT3//8xf73lf970z9//e2fwwQrJ+Xpvzm9biE9dz01ncM7HSfaGaDB60TNON+m + s/3pvkDOjkIkYI5+f1fbBMLkvnPncD/aXXPzX7C909pFvK0vHNeZb0iXi4l3/LdAi39ADNKhyLHB + KHU3H+6frfQOkpoqA17K9tA1J/hE7wsN6OWkTyJ6SGBcTyY+bA6HcpLZzxGVmRjRIzDHlDUrM4J3 + UbJuie3Rfi9VckUMz8fUwZG5EO5hnSDy2zd2HbvuRlp9AiTJ7I60xg53U/6qZvTkEo2qdxMvi953 + I9yvG0JQo1n2/PTIFzg5aPEhmhI0ilDzcCk0gg+O76SZGs9fMLzPDqt8evbnnKoFNFDXWDPfWCdh + HxGg4qNwxerO+dM5e45Qps4BG/JR0edJ2LpoHrce1vum0udzxbJSch5SbLCjiGZBmk9oDHKgSpUv + ei8T/oKeadC4F4PsO6GxxS0knKYSvhJ1neMmJoEt2ycuZ1DGHp+GGAHjHWJ8vO9mfTIfzAjr79FD + fHt0Uz7iqxSfpRYfMoH4y8Zpt3C48As98E+tG/XUfsP+7IbUiJ+NP6zxgjTkPbJ5ayEiAj4R6ZTX + DD4N9wEt8lmZ5ZcXPvB5jcdEW72WD+djTepi9+pmRypchK5L5fa5aaVTmCU8FIzmYY17pstiF28P + TkG8uMAqRinszrc3aHF5o9pu+0STiFoJHjGeyRQ2ms/nrdfKV7l+uGPGnfQxbBIXPpcbwUpNAE3V + C2/hHU+Ki067vT0u8TgjO9pRbL7v5jKmk6lBFemGOwqhtXChUBggoJdMzXDq0iceugs6B8IF79+P + NKWfkdmCeDlifMxT06b51PXgXq8iaUzV1Emq2Bqw8jUmiyPV6Si3ZoE0duNim1m+aFTFuodjLHRY + eTd9OauZsAc+QL27CYM0pWFCXsCdGxU7liXai/A5KqBumNCV2Xi7zDmUBup9raMHWu27xT5rLYAU + YBoLF6Mcm35U4Hi2BFfIHUenJj+8+KdUfLAZoDcaHDNspbJoSrduqlEfBque0UtQHtjsz1Y6+672 + 2rQS/6V69Br8YT0fJNy0Jz5EkVCO8bfbwxEdzxi/c9Emn9PjDTjRY/dR+2I5h31BgIK0peq7zMte + 5hoL9LvWUm1z6hY6vYQEkqxd8D54CvYk43cGn+vlTrUm3dnD7TM8YIMEjBXTaPx5s3QvoFeC6d5K + NV/4fF0Lsst1h7X6yti0YmiBKu5g4UC4Y9Qf4FbAeJkoVjavY9nb2+ktG163c2X5pPlCfBgU6M6J + Qy3Mdul8WCAAb2w/VOeRqLec8zBkhR9FV7hDqX8+Tv1AjiQb1OVPok9kmT0B2hSVO+880MeBzgo0 + Hr8hQt1J3cd88DN8btDjQ2XMdp/fLgQUzxSpXnnNsuKd9Kt/qsSz2k1LkmqQhqyH98ZrRh81ySTU + SNsb6Xc8p7fniNlK54ToWGsUHQ1P95TAFuUuPfGvqz453yRAS7RYVLO47VKplpbJe+Z7IGytbdJp + 8/Uyqbp8v9hik1RfzhRvoc0TDh9q+dktU2a90RCFEVWskfXnSuMNFPizRg9GZ6WznR01cNPJp0oT + aR1/37AaqBsI8YEeK38R3Z2BJJnfUcvQbJ2XL1YP0TzWtOCmSJ9z6CyAWP9QQ65Kf76/tyNIbA1U + H/KunIY589A7ExpyO+UWEn71JHmJ7z6a6NX1T2af/eKHHaIbXf/DM3IRHaw4587uUNB+EZNalGzq + yUZjs0MBrPlKtWoXpFPVHyKgsN0SJr5L3Xj2LANBGGf00POXbjEDsdiO4cUiiK8b/bu5thf4ps2R + OvfRSfnKuxPUXgOXxkFV613uxzzY19qienxdlkHXXm+ZOXNvVyrOdjeV9OPCvhhkarJ6jRaH333h + xQU+3t+1oRxS+5jAQ3pcV/x/2P1H/tZwLoycesz5scx+gCKQNo+ApkHQLcNOS78gbI8lmfnNXh+6 + 55PIdjwBWfgHh0ZaPSPZG78fMjdKiaZzOAKY12OE9/wV673QgYeOeZ/hyGWMZTnQYUTFxfvgVJaN + dNbNE4tqJnhhx0VaN545bQZlud6pkb0n1NgxylCUpFeXs5yjT88US1Kf3nusCUnnj7K/aNAwlwUf + rHjxBzHPFYn38f1PPS1i9T2C5WsK1jhrW84T89QgiesT3b8RU+Zoq2ryrph6vNtIdjmI7NaCMuYp + 3vUTscmT6yJ0lU4WVuWZlMt5vj5gThxM92yv6cuzREfU3TgXmzsx9pf4UGkwns0X3WP9kAqqbQHQ + WNPw0WiEdJBxX4DjJ6q7catyGZG+L8BMHyPOzEDteqQrGZyvuMfGyj+GTzcnUGSpgBVhPNrLgY/e + QJiWxUrQtulin48tgN9hasnfBn0PrvAF83KuqBIW7jJ95s4FxrNjrJj3Y0c+TcnCLIZnrLO3qpye + H/xFJ6QsRIKysaebgPeoFTIP23ev6pZPuHyRmnWUmoO8pMvZ6jRwr4lI3Yw25RSO1QWM2/ZCptjH + /lTtjBZVt1tB9yCaaFBJEyBLcD/4GKoFmm8F2SM2nRiMQ1p0dPgIR7AC4tADV4jlQkePQJfjFhth + Gy8TmrwTcNuLig0itIje/X0NRzEz6IXftPr8STQXzuh1wTrUH7/e9FIvrfVEVXbHdEvFNAXyz3GC + TYMy+tS1yQM9t3NGcaBP3dC1yQtc4YGoW7fbdNicTm/UFYhzN5gfyuHwaFi4wyWgbvRh7VFunQyk + +LDDFr7t7R/fkkUv07By4ndoqb65Iq/8yxUa/5EODa8bkGXPkO7W+p2Wp82De/6a+GB4pT5vro8L + nMSodvn79ZQONPkwKLsj6nYbl6z9s3pJos9n2IiKwu9s/alJt82JcSdTuabLc+u8pSKhX7JYzMnv + dwl8Ib52metwzt0fq8tJQVmBX3g3nKZ0QozIg1ccT/jEpg2ahcGrZSEQZMLwTVZOP/7mzkWA3UBu + 9DZH7ijpN1vAuoF5vz+8mQQpt9j48RN/4N7ZDNdrNRAhmz/ocyi3BeoKkVv7y7McV34uba8wU3sn + GTZ1+F2LjEv8+/6dzVeNNKORt0KybfA5nRectgBXypPGzPbpJB6Ob3RK3DdV7hsz5Z5prUlrPq35 + 6Kdjda++6BU8DHcQnrM933o8AxEkBWvRTVymqvIesFkSF++y2OqmZ8CdkHgVdYwrVPnLIfi+pKu3 + 73HMY9RRsZgimD1DpXoufsuxWVoeuqhg6WkTqyWfiskevty3IjAYx3LkgqsEW3FSqbP290H+UoJW + vohxIG7t8XOPeqkVCg9rxaLY0/LU+T/6RnW459IPr+sVUj8W8b5mXZtOtaLJkj8O7pd4FJHKf0Sy + EsLXfZlvbC/qeTMCN1LdZRzbKgc5yj1QLm/P/VTGxeaa9pPBY/Pe0DOfTv4oO8fTH35m7opAX4S0 + vSLkRW+6z6NHt9xOHEhGWt+xwt8f/nRTla98DO5navH+sWOHIxchkY+22KrOub/kGzOCONN5wr6n + sPvDBwG0zOW5/G0vZvq6gBl2G2oWt4s/2I16BT+g7K/eSmKqbwbxzMZyWUwtNOwORoYGWYswZnZO + utw2wQW0/HokAkWNT81AzOARlhU+8XLq92s+g7Xd8tRiHm463sugAIK8hCoRvZajvXkliMQyi62V + X07ptVd+/Arv86lcPs5F8CCbHgecRJLrVx8x037PQ02O+mg0O/6I+GIvYAvYZ7pMy/OL7Pw7uEuu + G/pEn8kIm1u0/OJpD2fTImgYkwkfTtuvTlGLDNiPUUzNRtgsS24yJ6QHpkczXk7T3iGPLSipeqa6 + OWglq54PLCLANC5f00M5hIwlAUruMz7mfJsS+fMc0S9/ME6/6WxKrAVBmGHCR/tNN3VUjyAIC+yO + 7u5cTl2gWHJanM/YFbQN6uNcfcEaD/Lj7/3nOmyhiGOPjD07+vPTq78iHsmVKqf0XQ6LpbxR5F2O + 9BR4Gerx+3qCKn9rON1dGP9zewFBzt3JsH3v9mjMh+oIh1hM6K7xH/7byfkWnS5djc1NUqLl1h1Y + lCRMveabUnLPQHbR2q+IXPc7nzi28kL6JdWJUHuxP380ekS/ev2d9yywaoKcaE6pzQ5x97ntpgL2 + kQeErwPL//UTuMj70RXinVjO1VMFKHzg3S3WP36/FM83HCLH+enZZRQ5XoNn5CmuXJ8Nm212KELd + +MDYbFTRp1PmvtEVST6ZmoFHL/GzJXBLlRBHQTZ3c9qNLxAn74yNGj/Rqs/bP/yp2D34lN4bXwFl + Se5ECuxtuji04FFwPnfuuPoLlKtEA638nurD1l1m+TUCYuTGpmaAjIX9jHsGxuAOeMWTlJ3SawtK + yHzxMfy8u0XsE0DyrThjJzJlv+sY9SJXo3HHGHi9JDhFBjJELSBMNZ/RN+Sve9gJe4nwu5ORtudD + eAEu6lpSBp8c0anea8hjdR3ruf62l0pgWmnKuys9xuHU0fIirhmdEGrv7griDr7r/uHDP/3Td/3H + Ari9lFWPcwvZCZkLx3vywTth2KG5meAFRvq+YwMHeikIcpDB6fqI8R6LFM2hLvJo1UsU50TtFpSe + M3S8PbfkQfe6vVT7FpAlNToRM8FNuanLXpDFGXFR/1jQcg5OX+BQm+LTZjbQcnZSFriEPVHH9C7d + rH8PD6gi1aBaLFj6fJ8vCXp4BUMycPY+vXUqD0X40V3OCKSlN8X7jDxUq/RUTL4/Pusqkbhx0MnE + 82z3Fe/CBYyQEnzktTFdVHnw0CZua2ybNtHn8PhqUXX3ML0R+rKXSUoKgGybYOv0vdjTjhUZ1Kd5 + 7079SylHs3KiH7+jPz3UO6C9xNrbEny426o+cdvmBG5+fxCR03n/5x+AKX1nUvanJxoqhysAZYcN + GerzW5/wQ/1CfYupe8+JWvbm8WjBLgo6F8X6E6347KEDUydkKYIBjVM7X2Tv6qdkeC8xmlNr4cG+ + 0BArTG/YfM5JF9Cn0nSlhor2lO9eD7RBHKa+O56W0d+mPZRSbLsM++jTJZzVN3yE5Ol+K6cqZ2cZ + rj/9hh9xtdFHodIzkM+ij9NI2aKVfz2gvdxzbBvhrpu5WlD+1At7qpyOcunmK63xoiv++Z2oVNkf + /HdjSUbzWdpd4HBrGupwXGVPuSIStMbLfbybvqNnJ+WRMmrmH/60DHvbkNqUtGQWEtsfhSL5otv1 + yVD1PSo6jZ+KAXHxcOjxXW0Q0U2DB9lvHi7LLS80O/cLwK8/FHfxgZbQMbaAEzWme1KTkkwDM6Lr + mRexGvs4XTpG9aRok9j4aGpJOfvKQwLv/GqoTb+OLqznISf+rcWYzXJ/XPU2lNzl7SIrE9DqJ51+ + fIJwcb71p8rhMtgXVMYmW3z1xUy/3p/8Vok7dD99i6Z7WLkQkoM+U+QZKJrnGh9ldlxoedqzSI5H + g/Bx3S0j7ZM9rPmAd+59XvnOgwc+GXPsFMYjndSGeaDX0lo03hiVPaslZZBzLVqsB598WfXzBeRI + lgj0nyb96Jwigc8HDnUjd0RN3Gy3f/xGLJ+tRbBhu0fBLBnY2R00m7c/5RdZC4vdYePPJaH4VcP9 + 4kp4T2zb71f+CaufihVaWun6fDMa8m3glgH/8MfK+CZoe76xzpzdh3RST8sFOoZVaWTkbvr86bk1 + H+iK7+kyqMkFfYvNm2yGwVymLthbsA3rK/39PxLPo4eU+CtQ3cCRP1N0NdBwr5/4wIOJfnwV3kym + 4Hi353yqvr4aUKYx3ZqAk35lozLQNLcnmr59zyahrDCw5hdWhLBGc95ev4DvO8blTuRpTzq5WpAF + VkBGXiq77iweAnEU5hcRo0lapqZ9FtDcj9Oq5y002lbqweS/jj89tdTCPt3C73wtGRvd/EH8BTap + rrgyKXYImRR6sJH1wrtdue2+8mvLwCO9Rlh1PVOfymP/QI3onlb9c/XnW8wFYI+HI2EZxeqEj0AJ + iuUWU8zdLX+ijhKJq5/nQs0I+uQIaIU3T8Z719GW6TZGAfrkoYWdaCh1mr+PBsjpsaDO0Ko+dxuL + QAqzQ0A1wzfTSc4tC1Z94bJM+lkm9WkS5AVI/fkl5bD6X3BJ2mDt12991K1pLxvxDbnICHfluBSf + NzQhqunq7y+9TBgP4ZS+sWXkZPU/nQJmz1KxC5cT6ld/HqyCS10+ru2ln3T5Devzr/jA+KtfHaBr + iH33sfq3faNqL/nEMSdsF5yWLjh+v/7g4dk4TqinyxFQm2gptS01KOcyFzV4XNGGmoLz0BfMjVd4 + xVLh8tH+Xs6CJLlQZdMWO8LKHFO5JchhTx51uERdePm6eaA5FTOssR2X9gevAxhzuqMWTwY0c5d3 + DT+/7E/9/fQXhGFG2nBTpmO33LZwld//le+fg9nXqOSZiYghCtLlTnQe+czkUm3X3dPe1M8enO5n + GycMZvXhUI7Zr9/jXcjTZWlM1YBkm6QEWSpb/uYXAKnrYJu3y6U/cG2LygxF+OgOx44XL2H786dJ + Z4zHhT0c0BFEn83oyTq29uunn/TbQXAnarA2m0aHES1yYeEDbh76XHHZFUAmH7wLlY8/i3bPQj5l + CRl4b++ztE+OKEu4Pd1VXKDPg/lgtwgMG6u1ekD9mdNGtPrXdB9xB8Se0fIG7hpyhOOPsd3LjnaC + Z8w4ZPPOb3p/e1wKOU+W26oftmU/6dwbbpEwuTOZDX+sht0Fupvgkra+fdHqjxxhl+/u9OCQsZvL + LXtBYWYH2F7nNXzsoBpxc+qRb11Qn1Skq2Hlryt+VMuM7q0GDLc/4jN3bMpZvIRf2N9fO3pyLM1e + 9VkC63yF/uYznJAYlrybLR9rweXQDSu+ylLyfOLjqg/HkF1YcKIxJe/6W+lk0889MuIUuW/rnthT + o79HmOd3Tj4mjPZodswRfv3GzY9fNJYuMn79d9Ujr25EulLIHVfzhGvUW1qrZcP88I0wbualo+48 + Ac6ye1/nISoaG/X4+NUXdS3cd6M51wygzN4Q1rh+lnbgvywcQFr5dxh1i2q7zJ/52s6o1eXnB//q + DZ9iTkznvPW+UHh1Rt0qdjtuI0gGiPdOcInBaIhFB9H7+VtkXPXKqOqti9SpLakh3CkazAc/oq8Q + zXjPVDMaPnPpwn4hE93VnVSOuqJEqAyykIxZ0i7jb97YpWVKzTDa2+PHPnmIzCqmljU97QXrF+OP + XrPqoPbJM3lYsripdbKsfsg8+FoBXPa4YadykT6u/giE/InSS7j37EU1oj3kWV7TlR/a87171rD2 + Lxo77n4Zn5eEgTt4AWFY86DP4n1z+fVz7ISYX2aTtT0kI2bATnAb/eku32a0CZmbiyLliuaKlLUc + Fy9n1eNc2TWMd5JVTpGpaYBSCre8deGZKyzeRX3k92pvGvDyqeQ+TWWb/uoXVr1Hqirs0+nwoDxK + +e+dwE5xS+5jcT2Im7eOcxe9OpoiuP7eUwvfWptSozvBZurVld+XZXlogQFp8wpcoY++a3xJC8J9 + CckYBWE6TVbMo7ywlz/+THUORwZesNtRl25NfZQ3j9cvni7L2bk9yd+GwIrnZKg+hc/m5t6DW0Ze + 1InLQ0lX/x0oU5l0D4XWTWu9wPY+1FRjoiqdy1hxIZteB9IJ6jcdPg55wao3sfoeH/Z8Pk5vWIrI + oGY2VOnEdU4Na//HNnthU3oIvo//8hN4/1gO0+xE6CtqG2z2/acc5U37+s3rsL27PxYqi0P7x3/H + fHj6+U8vafazlKTkVqbN2fHZP/O/w/vjImKPQSavfpsrwb5Ey4Ev3kCErbLOV7Y2UUsKsDkvnHsz + rUM3dIFiQIJGjmoyetkLp8AVVv+dmk0G3TR0XSaSoEko3rl1uVRl74J8y85UyySvJKvfh8IweWC3 + UM5+779VD1XT2FN747o6QVJ5kWg+8kRa9eb8QYwH07WeXDYqivQ3X0A4v014raduEavX/jePpb/5 + wrI7tiN450fjbq305c/mba/Bibk5Lgz3YRk+wT1AWiIuf+bnU3w5HuHv31bAf/7rr7/+12/DoG7z + oloXA4ZiGv7936sC/07y5N8sy/+b8n82EUifPIq///mvJYS/P11bf4b/PbTvoun//ucv+c+2wd9D + OyTV/3P5X+tv/ee//g8AAAD//wMA48pKz+EgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c699faa20a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:17 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '24' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 98fedc92edc89332a324b62c314a7d00 + status: + code: 200 + message: OK +- request: + body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following + text, covering the topics present in the text and nothing more. If the text + does not contain information, describe the type of text.\n\nText: \"\"\"Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": + 500}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2991' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0yPzWoCMRRG932K8K1jGcdf8gK1tV0U7EJqkczM1YkmuSG5FkF892IpbZcf53Dg + u8B1MGhD8oPZw/4pvS0XDVeHl8d6fV7PV5PF7vi6PIw8NLg5UCswEDrLtuWQPInjCI02kxXqYIbT + +bgeVvVsphG4I/+jDzr76WLrBlU1uvk9u5YKzPvlG8NArXpX1G0oV5RVmRKJu/UV75T0pFKfbSG1 + wTNnCsqlcgqqY89ZFSfKBpIN7qHhYkdnmErD8z5lbgpMPHmvsXPRlX6byRaOMCjCCdcPjVOxe4K5 + IGUOSbbCR4oFZliNJxp/X39BXWkIi/X/1Onker37AgAA//8DANywh0dSAQAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c69b3bc30a63-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:20 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - text-davinci-003 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '2925' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-limit-tokens: + - '250000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-remaining-tokens: + - '249500' + x-ratelimit-reset-requests: + - 20ms + x-ratelimit-reset-tokens: + - 120ms + x-request-id: + - fdd7fb5777c8d341d1913fb7b0d9a38e + status: + code: 200 + message: OK +- request: + body: '{"input": ["Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2778' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWw+yzJat79ev+PLdulcEBKpYd5xEEKhCUMBOZwcQOXhADlVAdfq/7+i70jt9 + 44USBWfNMcd4qv7rH3/99XeXt2Ux/f2vv/5+NuP09//5vnfLpuzvf/31H//466+//vqv3+v/urJ8 + 5eXt1ryr3+W/D5v3rVz+/tdf3P+88/8v+tdff6sVICiV67M7uy08g0QZntRchg4sUbflYB5mJjXb + cwdmfbO+oNyxK1nUSI14LbNtuCfxhmzGg+uOz10XAgWJd2zXELXc8bUcYc1iSjh6a93FrHUI9bxv + sYeuh3aVJLyRK0mkFL/voP0YOAxB4IklLb0KGXSRokxJiY+wLzvEHS8XuYG3RoXUf6/IGOP34IFq + 2KmISu2xncLkcJRvz9CgXifVbKxMIIKpJgPilVrL+cV/hbAONYnur9Y6rM1uEOByiwpqVHLFxuko + ncFGPnhoVqXInX3908D3e9xTI0z8dq3OxxLuV3bE1nhiwzMWjwIcF0enCMkv0JV1VoJd9xKx8SD+ + MIF+I0NF3T+on8c6YOrDPcsnO6SoguujXbtLM8PxXZcUm2MwzDdlUZXOwgOCxXwY1lqueui6mk4P + kTjnZF8oJkyumzc9CtkZjJBLj1IM+z02S/9lzMYz5cCnLF/4V691OXQbOPt3lSzZorBVvJAHoK8G + YKdoji7XPZ0zzG4ppiaQUMTnu/ML9vOs0Fiti4i9J1bKonA3qH0nHZg6HcUw5eWajEutRnO082N4 + OZgdvpyW3iWCtRLQNxRhd/KMlkUsPMJLfMnJxh61SNgZiggXppeI2+2LdlmA0sCLBgLUPvk5WsfA + DiCyTYS9/m6z+Qr6QuatwkKbj/TM12dUIGBZ+gmt2kGL1kOjFooWBBHes9PdGMs6LBVwYz62HnBw + GXq7EMJ7LVPPSAJ3Aa9jB2+zNWDzziZ3FFGHYMRpe4wT3LZMxTdBXg/Fh0yXnESzdCssWLEmQsQe + tZxph8cMqvQpfesR5LPqVI38XU/Y0i7EWE+mn4Hxdc4QBHQPlvNhUuHp+TxhC5s0mo79+ayYUnLE + bm5z7XKLvO/6lyk96sIMxo+w6kr6FlaMTzYAy5r1I5TgACjeOUu7StmyAXnDA2z5i5Qv0jGMYeyZ + BY2CxRoITVwT/v6P3HX9gcXdI4BEvt6w195OOQNtV0FWuQXZPNZmYMtd6iBFuw4pRrLNZ/TS5e1m + Gz6Q5D1bY8E3dYZvJTnj47Afo3kebjKoqsjDVnH2hnkcTRt6x11JFrez2+/39eCjpiI2PKczxved + 34AxDQeq3bZ2O18J0eEmcg/YKfjcZfMYQ2j414Aij93daZJeEJS8dcduHcv5lDfUAm11mygGShst + +GavsHh1A/6txzpv3uavvvg0xt1AQzyv8LHGHtY6fmQL3IEzNLgkRvIOWQOnLPkZJK4sYnWGIOrw + 6ZL9uR//vRJ3+fDVBo5HBAlobjd3YpoNgSZfJqzfrWxYDu21gnh4d2jeTw+2aCXMYFnvUsQ/8cjm + Rt5v4LX1DWzqBxOs+9QWQI9VTOQhVaIPt/EsiJJEI++0wsYSHT8cSFxRxPtkS9s+fjoWXNvHAS0v + WXTH9qAXYDn0PlbVl+6u1kdqAEou2vf+83yEkpnClBdruj8tR4NdtTsHH977SOaeXIY1N2wdghC+ + sD7GOzY2CFRwc9oY2IrE2p3v108GVSn2Uc2fRIP5vboqJ5FLMVZMK2Ii/oTQ9P0R77FZGetVgS/g + YO6CaH0SDOYFWAb+5HKEe/LbdmVUeMCWBh1F9ckCpD9CGUYH8EYy2g7unNxlGxa39UzVYstFn2sE + kGSuG4J1t0vAku+KBzzU0KXY88doTRoz/OkNWlORdztXrAUIgADRLrmO7kxJRiCrnAKJhtNGzOqq + QokV3qFmslWjPhfcCoaWeMDZkCp5977zEA7CliczurT5jHfgBUTXXKnGn1L3ow8iB8+PF6G6dtDy + nRNrDeQu8o3q4n01WP2JY1jMIUYiny35Gj8dE856dyVcUt7b8XoxQ/h43muqwtUcJr6eGnBig4r9 + Yo4ZlYfTC/JWaWHHLVWD2o5vgrdyOZNJuGjRivlrCZcT7ah/Idt8nI7L+df/ZJtgY6CXnAogU+sn + VnFhuQKfdwjqu1UjLXss/+7n2VF5qp0ElNNRdjrw1W9s+kHmEllLkRyd1xBrzFjzpa9YCVV7fWDr + 9m7ayc6rEt6G/k4+9cdjTCvCEGT2xqRuxrftCkFZgUPwuWC7bS4DhfzJg9Eu9PD+aoUDY+RZwefu + rNLTpQfuAGW/hPqjkrHXrxIjHtNlWDmJRUT9chrY7ZKYcP1sWsSy7WjMDukR9NPpg3p72Q/s8Zo7 + iPhsRjtTkFxyzp0SGIRYZNlnhkux33jQnuL8jx7RnT4KgPPvCrXuWpwzTi0D2LVWjIQljaNlK2si + dKvVxI5CibG4TRtC3zAzfDWctX37vT0D7Js6PtXsEs2uUlrQc/oMG1HftstNKwKYHqsA34xkG32f + RwS/9aEqe34Yn806w4s6ehjl8Xe9bFwBCu3bxHtyLKKFL6QANsiNySYk7I/+Q8EKGrJZ6pKxj9d1 + sErfElqQXg/LcD1mcK/pN2q4+tOgL35sIBmOPWGVrLLpXT7E3/pARDUbQG+XxIIz3ciEaYdgmLpW + DIEDvBeZ5dQduA2JK8i84oa9hTtFix9pR8jfzwU9yWnGSAjPIQztvYt1abXd5azPM6gdt8HGgcvy + CdeKDmDIdIw5KjKqPoyzfA7slmynbI5WNXiJ8GW92J959sd/HIcZ43uzfzN2vs4ZQP3Lppgg3SVO + kj1+9SBLnzMwCRfVA68y2NNz6b/cYhKMFdbsTLF6Tng2XjRfhZubQqhZE43Nwaw3Cj5ViEbSmkTL + bm9BxT4KNVaf55qtH8m0ISMw+erxA6xvQ7ZgrS8W9YWLls9WQo6wDjgee3a4BfQK2wpK8AO++m4y + YRJvMqy1h47DyleG4aolnNxq8ED47NoNS2UnFnwTq0b8eHrkH/lwq2BTDSeyc4OFMeN1EpV78rpi + 23I2+RoLyyx/7x/vx9MjWl9BkoGtf46og0pgrMHh6IEGOTGSgitlbHLXDF7chiEJub3BzPZiykXo + VdQ7igNjMT42UN9eaup30mIsu5coyvGeqBR3r7Lt3TpEsLsWKz08Pp98Lc7zqIjmGFPtYyvsk5S1 + CQFfVNT0A9ll1R5CIL5RQM1Cng3Kt9sePGJEqOogdRBg4JkSGphH4FJXOUvNogMP73lEfQlDdzHk + kYD8xWHEW4U2rAfQe/Ly2FAijV719V96B3fePUPi89ZHdIi7ENogPRKIq2M+rjlYwaF1MQKPx95Y + C2aNv3lMv37VEKpUGOHBww6CvnVqlzbpLYicU0jN65WLennsO/jtX5o7YtIut/da/vIKPrB1k49L + +xCA9pQa6kzrwZjj8V6Cnx76yHqyGW0fPVBTLcF6UtbGes61EhSDYKCNknTuYuAsBFrcUySKB5Av + Va+pcr4dn9SuPuIw4xZZAKAqo9HX/8ydkWSyyicSNi/Pd0t64RCDn/5xy0ZiI78bTeDjXYiY2Y3R + Yx4uMpyMDn7zwDxMnuM0QN/YN3pUijFajA7qEG84Sg+1PbVjezgWYDSECqOEF/LF3aUrLIAp0PPH + 6CPKt7sOhH7YImaCWzSv8yeAt8Q7Y6vOaT6mhXKGgSeX2LxabdQ7MxeDZ3+7EFDHcjQO6jIq6Tpk + +PCcR5fds76AgVIcqJPIQ06e0RlBoVsLMvv6lM+tuyGwyXUN7cLwE63vPg1gtHIamlnMuVPpRjLU + 1tnHWBLAMF7VcpZG/u1TzC4mWGxr3cDzKXmTbT+9cpI0ZgCTj59Re3t5AgbaqoIBTdNv/qzyKpSP + Nvj5E/y4q2B3eLYdBFvLwE798cBi1scN7MtIJ7zbmjmrNwYHWyVO8KG7CcY4fQ6xdLnDDfbZQRhG + fbM+YHv57On+6+cmPXHjP/7h2//tSIpel7/5imxijPMljWdd2Q/7HRJ+/j+5Bbry9UPYPm3fwxyY + swWL23ymuIv8gdHLqirdmjjYdAo/YrdncFb2H5mh7pu/v88PAZTLM7V9lwfkO29htYllfNRaGRAO + Mh1mnytAinCpoxVpGwEYB52jvjuOgOyN6Ax5/bZizzJll3zzktxsyJZqHe+x5dDt158fRHKX6sN6 + OwER6AeUUu0liwYtJieDQjcXWKsrM1ol6bCBT2tNkPCdp6R/xP1PjxFU+1dEGyGboSOsOTWvlhEt + vhYUyuFTD9hw9b07C/E1hFnN5VRXI9qynx+o/OWE7et5dtfv/YKvP/z6/Syas0YlMIFlTY9a4ICl + rLQM7g+pRHFoV2xZmnwGaKtHVA2d2SVjoIagFpsDPXS32FjrnqbwNc8qIpr7HJbYm1MI+LLCWv6k + w+e69XswG7sbebRnm1FGpgo6u+2delfssrVsHy/52mIDzfenms8Bt5mBKdoWPcRWbDB8z0R49qSc + uuUnyBd/bGRYcVNC1o3UszVq5Aak+1gk8JxnRi/uggoIOVjQ/J1HQ7nTdOVAJgOJzHOHZbsRjlDl + bJ6qVRW4bJOuPTyfLm/Ut3PLuqiqUmV/N11afvnK4mtpCaZZKTFG76dL+iW34FNsTWooqu7OSzsK + sJgDTJbbtmuJeZdkaEEYY2eJdMYVSSjAui9SfEgr7I70OiHogsfw04ucxOClA3W8N0To4w1Yv/4G + FukD4r1S1/ma+OUKbVLfUZiHPuA2xVOABbAEIl4qI1rb3A920SpoaOcoOVtjQFS4pYKPD2iZWrLJ + DAIvPXshxXRP0QwurQ5f3hZjW0atS8RmUMEduxL1+MtkrPtU5RTiCzZ1xM79rkcMgT9nED3pUctn + UVp7kJYwx8aTD/KZ295s+LauGE0heeTMWyQOlok+Y03efwBjF2MGzn1vYy/RXkaXNTYBYxoM1BC9 + OZrM5xb99Iua9Ga4o2nLIRQU9P7yIZXt+tZ//frtj94te/ORwso+6qgNE3+YBNudoVJnGT2QtG+Z + WVYCRKjsMbKeUj5DyczAzg1jitzr4DLZoT2URH/Ge1ndt7tqzI9w6e0DWgy1d98PNSwkDnINdU7j + HvC+lhZwetkCtZ9znn95SQgKeJKJiJ9kmI2d08hkf/1QH11jMAtm9wBDuS8xUXrJnWxJKGXxXin4 + Mp7MaH7fFQjlvZVj+1yVObmdmPyn35XitgeLwGLvx8fIZq1b8Md/jVzmoDYPFZc5mbJCJhkrStvm + 0k6/fntIYETTlyeQNIsQ3MQZQu3X3y/+cj/CHAQZkXIiGsxbFg6e4nNJ905RDExIsjNsz6VGHbWw + wbJTwxHG9yUjmZBxgC6bQwfzI1mwG2sLe1/7VQBpm76JbC/PYQH9RgRfnoXDb158Routw26vv9FO + QYQNmFOzH4/Cbr/27cLXzwpqOXdAryeGLlGf5xSsm5SQwVw4wIL9YivWZ8L4T/9nrbPC9LoYSLi9 + 9eFXD2AGJUf320zKSW6oOgwSahGmRJE7BexJgBdNPJK9Z5iv4CG9frySHiyHGsuycwLw41/g61fW + giEi8bGkYC94+9Ga3FIdaqd7gl0JbMHyXZ/gmmY5tUryzFd5bHr41B5brH3z1iIdsxjUB1jSH//4 + 5R8w+zeViCo9tvx2sznCRUpl6jhJGpFw1+lw5nLrz/xf3F2wwrY/BKigUtGueR2rv7yG5j43h3k+ + ccc/PPTLT9t5TOIObuIUffPqPaLf/ARDHTDq5x/2x/8DUp0NerzxNP/lPUAR31G1fObRtIm7Bu6P + nUr3BooBKxa+A8WrH+j+Y0gtTddWht1y3GNcn2JjiUVdgDSKOLRY9ZOxxrVj+POfu213GMbESjMQ + nM49krU2Y/PLOemw6UMOO/wBD6v4TgJQmpWA5mLL5SvNtzGkn1mnYdcMxufxyVZx1Uyf7ulRi/jc + PFkw3Z9FmnP16DKeiaL84yXg/biDWUXnFWKjuGOj0dphiLHe/PGHvKnbQOxvaQCbwt9jPRUvLjn1 + wwuG2kipe22mlirVMEpW17iIHWonmq7bfQ8q52LRS85gzs77owjtdTsgRXaQO28+fQitR7tDU/dS + DcG7fmwYmLctPi5q7bJyp6nKtz/QwHO6wS1ieAZd9hEwyg3N2CEglTDUJUb9hH+77CBfbdgWRo3V + WKkZ28JChb0j7BD34s22f61aDLRNrGF1gmrE+0tiw6YPuC9vtgyhdc4vKGaXJ4LPITHY/O7HH79F + s3/ZRMvL4xDcoBFQsyIQrK1TvIA/p5AajWa0o3LkbcUz7zpRtkEARrflYohCWSD1JeldUunXFUrT + 1cb7PqbDcNqoOrzdXjNVuePrx+cr0Bqu+/XD/rBKjhNAe5cLZOKQ1E752sXwp5+qEbmMKWuRwWms + Q/TmpVfOTp+wAtI9uVIzcUnLaEYC8Os/m4vIsI6BGiiDqZpUW2ct6usnO0KmczJ1rJ5E6zVsjnCy + uTP2TFd3+YcOX+Cy607YVlBpUP7uplA99YBQrniDMTWiB3T3u56w7eSCVXXXHhLJu+IzO2G2rDT1 + ABdM+2++rdnS+H0BrEe9+/VLvgxXPYWpKk6ETbHnzrpBZLk/f+7UCJbXMH95IXTN7oVNOTpEnFe4 + IXy4mUV9wyTRyuKCA0fLQGQbkTfYmWUnwOkW3rHBTmq7m5G6gVd1cjCesjn/+pnqT748fjafdj1O + u+bPfoTKDMOdD5g3YduJ3o+X5MtdIDGws/2Z2jIyXKG4jvDnn7/8fh8x32gev/xBrzkRXcr5GQHH + rrapJU4lW67yNYXVSb+ilkvbYf3xLVfII8TIfAfzThtm8OVVaPv108KQSDH46hFO3OAElk63YqhS + 8sG+vW1d9p3X0B/gTC0VDfkSw60lB7zWYe3Ldxj7LCE86yZH7TBM2y8/FeCUHg5kXY5Oy0mr85Cb + wywj6carBvvmKVi8eYqCbz2mVNcbxVIFiWqXpDdWOo8c/NXPpgMFsz45MjDYMcTGbj/l5Ka6CF7d + dsZm+5bAdLleRmhnhzM1IoUbPp6jNcr3eQlPj3XErqerBZfCSqmpcgjMSym+4JNdRmoH49J2nHfq + lJeKEqSs3H748skzjHxrS3X2aPLxVx9slPcv/03Aspn8EmqnW0JdKk3R9NU3RWqX5zeP5QP13LyH + ifJ5UnXjpfmudwbut76p1x7VXLidgCzH5StGnHnph5EUjQ5d4Rqh0Uhm47cfArvF3mPfeh7dZSs7 + Miii/EEt4X51J4kfZyBjSf/ykDKaVPYRJVRUV4y+/qT/8aLnRAoiOeY7/9N/ncYqxOPkZHz9ZQjq + 0JCI2B25iI7pncC9pt7QkpUeW+hmjaH6kHV6TInXzodH81DEvZQR9ttfipxgVb77d/QgHjxjjT9K + DDuwGcl6Gy2wpPkjBEN5KBGP2nvEvnoON71wxWoZ9tFSg4VAt1Zs6ub2uf3yFvnHu3EcibUxe9Wu + gbvzcaK4HRATyqPOwSCZLMLXZHHZj/c21eeELU5a3fnFtSX48Wvl+3/9+CW0NW+DD9f3wqbTwHU/ + f47NbXY0lvUebyD3dAJ8MFvb/ZOXkLk7oFnZX4ah3hgCjJWdgz6lfTLmS0bm3/4GgfXuGNHDc+hh + UD1v336vhnW/9C9gedmEGDtV7aSVXAovcZKj5m7JLYX8FYE3tANsBIvVzm+r8OCTJSM9am0GCK6G + DWwKvCfw2kBGPuFz8+OXf/IS2YZZB8vCs3FWGZd/63Xcqg1q+U0/MPF8qeT2hOTvfKqNtTpYOrxQ + vGA7GE8t2QsxB0t5IviXh9dw16mwU18FmlF3ztkoaz386jf+1Ztxje0B/NxcsbUOXj7T6xNB4Xw+ + UY+oj5b4w5UDKBQFHPUwcldh9W0F89gjj6vV5rOHEQctuIkJvH/Mdj7bgvlHb/gv357ui2zBH4/5 + 40/e+kcFPuoR4TmpAct+BT18LVuTPIs3ieZ83xwh3SCf4O61addtmPWwxzpGtUfddnkCowCGsUzk + p4+7MU1G8K0PPWxBOux2+oOD+yAK/vgv4ZTK8m/+IVkLPmzKnoMIGPd8U90rPmAEWRKAzs0N+tNz + oSBZCaNT7dJjyBL2mdqj+tNLGkXKuZ2T+3qEf/9OBfz3P/766z9/Jwxe3a18fg8GTOUy/fN/jgr8 + M7tl/+Q44Z9U+HMSgYxZVf79r38fQvj7M3Svz/R/p+5Rvse///WXxP37vMHfUzdlz//1wT++v/ff + //h/AAAA//8DACC8/ZjlIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c6aebd050a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:21 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '244' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 6a121b1c83412d98e7cdcaa887002647 + status: + code: 200 + message: OK +- request: + body: '{"input": "This text is a repetition of the phrase \"Lorem ipsum dolor + sit amet\".", "model": "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '148' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VAoGXdIeeTrQiiTiYTUFRARA4ttDv7u0/0v7Jn7xsT + sEasz/M7Pf2Pf/z1199dUZfX6e9//fX3qxqnv//X994tn/K///XX//7HX3/99dd//F7/x8qyLcrb + rXo/fst/b1bvW7n8/a+/hP+68/8X/euvv/sgOZBZCfp6pCk4gK0hXKjhnTPAeKtd4bN2O+rinQ02 + 036wVPGhGDS80NaccyEeVY23EpJfizOw8pxkELWyQF0aySa/K6WgxD0pMa59b2Bp7kO1OjQNNj8B + SnjftATowWkmwsqSQC8SroPYuQd0F6Va0UHJP0BbojcCR4DC5ZP7Bnzf7ykRdXkGXPfMCjQ35YWj + 5/sG5k1LIxDj6Uy3N/dcz1Hb7kFyfmo4qkI4LDeyBJr+pgZF9g4XH+Q4PSwAXqh1UhY+uVDZw1hO + D9TdvqWCG0KnwuT57ImSzXYyb03NgZPQRDinhlPPTxdL4OX0M9k4/h4Qf6PMwJmcAsHxhAsiXvMW + 5rf9lh72KSrm7e4mgJVnjdip2IvP4+cOwdZ2UmpuMh1saml/1U5+22Hd2N4KKp8SC/qxfsKWfFbr + 0Q7kB/THM6an7/NN14Cdtfs2dLCxfkXFBMHYqZlCFOxLU1Kwm6C10FOfLtHOjCZseH9WgB6KAVvh + uhyWQ/TUITBMFy234ZQI0PMISBV1S21SkGJ+sUCHny5RqKElO3PCp2alqTLwEaxokcw6ywjMjm8J + uwnVizkKJgvILXzjxNFsk9fSUmn6plmou2639SSA2dLea+dJ9Ti2TfZAcaW9u/uWsDN7JMwnqgWZ + nK6JskVlMudafIbyB1XUhXM9sCSuM6hluEHz6fkwl5pSAd5nlhA4Jw5frIvQw3hyehzepidg12oV + wRG6NbWjaBvOS7A/w2dtd9iWzaqYZ6pmoF1PEg5oaycC9rcqrPbZh3CG6oSr93MPUZWvsJUAKfw+ + nwNvtmRRXNNwYDy8pVBumgIbB4PwRXVwC+zhLpIPEnacRh+1gavHysPOW62LaV0+Uy06NA6+Vblp + Cvv48YA3D+2RctEfw/gCW6LRYlCw2csE8JPS76Euohd1no5fL8hBnUpB4iDh9nyBpbzuCXRyuNBz + C7qEXN2NB0EaLNiWQDOwoJgbmO/OB+q1wCvmdukgzI4v6dt/JBl8YfWAt+Aaooc5XQb+9Lmzlt2d + T51MlTgVhg1T70Fi4l3RTQlbNS8G5U9U4dA/wvrTxdsUitA4U7QVs4Gr3T6FksEC6p/kipPb5VgC + 6l9WRMinkH/3P9eqk5XjsjHWYFzkPYSauDYIuBdGMqv+oIKL1gvYG1+PejRmUMH35Hp024a7WpJ8 + FkAqdWvqkk5J3mp3TuGTiQ6+ZFE7NOQonlU6XE5YD01i8rPiR5D6xYosxH6AfjCeFtT45GJ/MYuC + blCSw1cYtNhIgqiYLwN34HSDA0aNseY02ik5sHwD4zA/fsyp8/wODIYaYfPRy+a8vOZKFU/cQu3T + shMpaOQDzG+HLQ5Zth6oqG0CODsPgoTryTKn9zS0END8jG09ZeZyCy4ZlDVyxuHNr01On132q38c + glwY6O4uz7A/VirRTv0ykJi0nZKHwQnr9kUK+S47G+pJLwdqHV8oIUEz7zXfBjpR1jt/2CQcq6Cx + FAX75+uTs9VhlwJhbSokyw90YK6RElhNQkhE+tqbfJB2BuRm+8bI3tGEfz8PdSS22KbbOFlsN0Xw + VJADUdSBmgvSHBmEr6NNtKdkJZKbih68TpaCxG9/fVw0E20v3BeykKEGPEKHKwxfJ5ta5cdM2G0Q + VXg5bVO0SZZmYA/7IsBXoxuEHuuLyUcvKkEIHQnN4WcJ+49al6DfPBLU3PkrXJyzWsGt3pZkeSsk + HBRwEWCh3UYa9W5qsmslRTCcyQrj3E6G2brtodZUcUi9W5IO/JhFLaDM9/GuWj3BOH5OK0A/4ZVu + h7gFPCsHBEoaawTS3VTQbfWs4MlvOro7ro4Fu15WD2j6Q0PgrHzAuJe8TJ0OLUcP58mHLry1LcgL + w8GuveVJVzz36IenRLvJ3rBYoijB+zWfiOif3+aSHB8E3rfJibpro+KjHLS6mogAE2E3AHPqxs8V + fPEJG6GwAbMsty1cIUjwdz1YrAvsfnhFHuws8Kl8nc9wWkMLF9/6pfVaiaCjjhiHqz0Dk4tjBnW2 + 6pEG/bygtH8YWgmXB+k+oVmPVBE8eDn5L2pVpp4Ir10VwfShHomQ+Ttzntu4+VMfCOzNkCVTWILV + 9RrTva0JnAxvT4Ws3vjYXuKoZtf9SgAftRYoPtC1OXHOKujUq5JIucxqvtvtM+j0woO6u7udkP2V + 7qE2asdvPyNzLmzZgls3w9QdhHVBv/isRuHqhe2wb5NZi/Uz9G1G6Xd/+GBU+lVb9ZaNoLiuTaZt + 3ns53QYb6h+NhrPNYc8gvp1NfP8+T+u+jw0E9+qDnVIiCQ/tA4Mbtmmwv/PieipuXIbvrcbQOklu + gNyqowfVFsyoOSWI87Ohr4A6fZ7UXy9dwoZyizSWaDlG4a0vJvtSNFALNIia5JiYTGivOfz1p3XV + 3iZJDlGuHOyVQ8Qx5EnvX1UCtJgSsgljUrROeVNhNUkh4dbnWbPj/oNg7qlXIjzvz7r3trwDOD04 + X/0jD1PMDAjFXl9Tf2W6QFhovFeqh+Vife+7w/jlAzW3zi2Nq93CKan8XL1mJw8JV1DxLgzfEUzU + Z4ZW5pOB5bV5ndX7tVphr9s++ZxNm0xphotHnaY0Evaw5hmypdTIBnMPTI52yOBnSVrsBm5UM27c + ehAeX2/CtE0IlmV/FUCXZz724WkYxotYCODL3zQYAyuZa7w7AwULBg1qL/nizzWCr9t+jxQI+oQF + JDa0PA0sGkbTMeEBThvtgkIZm12Lh7lwYg+m7/mEbV2e+btvCIH3Ve5Qr1cskz5fCYJsyUaiJd4p + 5IbzyMB3f2iItzKfwbo3YFkvAsb9c5vM1eC0MCqElIjgXhfMOWYR7HN/S0NfKQpeTYsEEAo/NPQW + jc9YDyKY1sEeO2d9LviXr0CzD59InJI9mFq/EUAaXGyKdFf68olcwWZaUqRWjVDTIW9U+NV3ZAO6 + F5+3u6MEOltIcOTlz4RLvdZDm64HGh4ucc0f7TGFeaE7RDgpMX85zsH5XdNkG3tgscabBWlTH4my + +vSAuK3wgCLXR5o/r6eQSZtLB1SQHKnOVifAWFlKQNYal+6NrVaw48ojEF0uMXU/DwDYGzodfDWG + QY7d7jTMcNq2UIOihd3lypPXqjMctfpkRySUdjMMk/CRoLxHElFW9hjSuokdkFt5i14if4fz1N0E + deumGCN6Ts3v/iLYfMIdgXb7TpYr5XvI7veaVMdVW4wsOTtg/Gw6sgmGIWG3y/EK0/GwI6tg4xZf + vHCA/2Ye6Z44CheOlk5lMb0TnBZFvQgfmcArXHV4Oz0rc86mdQrQPk4RyBOLzwoZZyArTkx3WrwB + VP7kpdolpYt1byF8UBbFgtdcw0i9psrAfUeEqrh5VPTe1na9CKfzHt65gb564Wwur+vuAOZCb7AP + 4kPIntnswZ8fQv1B5VTplBwOtufSc2P3BTls7AOMs0yh+L5bwvImiC2UGzJS/Yh1znh4TKGafkTs + qwMOl/YVrYCdrdcUHbAesnePD2Az2ozIdY1rts4HCOdYfmMjf+iAR2CBYA4DEeubx6FgwUFWARvX + DlEgCJI5vJEGFhIF2EfCxPtEaiI4VdcKf/GtWEp9bsG+2klotK6v4U+/bA/E++nP+qtPxz/4r1vi + phhpCBqY1fYFB+Ra16/3VLfgp6fdOT2CZd5rsmr6nwat06IYhkC7ebBXZkT10GYFC/wl0k6psKfm + u4z53MBQUNV9uMbeY9gVUuLVHVRBfMSB629NtjqQHJoSS9H6tLnWYwNNQT2FK+Gr91/JnDtqBFTm + n6mryU9zEB1JhrdthhBDXQw+q3uQw1CRwBfbXz/+ceDbozVR9P4+sHufE6jFE6G7W/rhXz9MNJDl + I0bOcQQLe4IA+vX+QL2TrQ3UP2sprIrxib/+mi/lRhag5J5jbOXDe1i6uD//0cPiTt0O/B6Wezh3 + lfvVD0lCP/p7BbMRZ6RBXK65vjYZeMvRnZ5vSVpPXf1hcFVHJkYOwGD58j+ICmJSO7Tqr36fGJz8 + l4NE9bgdSPfYXeVT6ZTUiVFeL03QruAHcoroWcvMGa8/DgQ370aWp50W82V/WAF7ojOZJ0ktJues + PqDN3IzqIkpMLgzrGSDFKLG7Kq2QjYZuQI8md6IkWZdwiWsZoDdFoGafziFL8+0KIq1/4eA9MrN3 + 38cWXITHhgCQp8P82lXox79I+fLX0m6sDEZ+c8Gu48+AHKaxAmegaHSHo3VNd9liQa11E4rAvg7J + 9bKqQP/uGmy+kMTZ43GWYZp7NQ21nvIJnizh939S0yiCeuJQRb96xhEPfZOJBOgQh56HA2q09bIH + wwg3q+OENoNwL2b9czfgr56iZi3V0+26zOCr76n32r35nFeHFE6Xq0j615kMNbn4BM65mmC0c6uB + n4ze+PkTpD3322Ijnld74J/UC8r1pA6Zn1wgCE+bioa54oJxa5UBsKzcwwjFVsHG9FFqX36jqQwv + Bb0rmQRxuL/84dvZTFkGp4LMZOUcR87SfDB+/gJt6CzxjzlKAcw9+UqTh6MUQ/pAuRo7t4BG740M + uFetPYiQ/0HiR+Hgp8+0Uq1fiHNoAmlMu6uS47kkpvusAZ1WRgPTk9xh7zotQ7c1RQvSVnliA1mJ + OTfIPPzhU/NDduaXP3r4FlcNAudXk8zKdncAeFel1KvWe87s5XSG28PoUZwPUr0g7KTq+H5NdAcn + xaTb1baHq1K6kf4hywWdhKcA02tF0bp8k3BhPZPAt76xwf3VMFMDyNBMlQg7bVSByR6gAcLkNFKX + 6YdwRC/Tgd/8guqrg2cy9i4rwG64o/ZLg8myBzWBYe7eSHfeFf/m/3uvP7Fz8ybAp31twWbiKTWn + 0QPk56/2E10jae/cQrIP3ios2y2lenYxhu//u4JmqNwxfq0dLljGRf35F0STRAP8LHce1B+iTqNB + TIfZpvsUTFUa0+u8sWsuA1UGumeL3/3JBq6PdQpA6FsUa9dV3Zxq7QGfinjBld1cefuwZqb6Z73H + cbFWQbe1Mg9+8zKsK/M0DNOlYjAd8xLbb/vCh/Pt44DnQ5yonry8mkmF8oD0BgSSSt66YKV2RdCR + MxNp5fVdMOmVH9QwOY5YV+XBJD/9YDP8xrtIhiERgwRpE4v0f/sJ5fo6w+oTWRSXJi6YE2UP2FwK + itSP+gn5zjp30Altg9Tu0wRkUJ6pdrGUHiPdzUz2+CwdlCfpQ3frFyimvVVff/4Nb/ONVoyblEqA + tuCJXXE1ceJEWQXZ840QiHypXjrx6WlxV9bU8urbwOtpP//R13F94sO8k6MGZnMDsR8ckmTOz0oL + /TrYYt3j3Jzsqtj/8JZa+eAOjVEKARTfHacunTM+a2IXga+ew7bTTOG0njsCZUnKyItdenM5mJ8U + Vm4GEXy+Nf7DS21bOjp6OVXHyaB8Mth72xNaIdEMResidGr2EEsCvOUGfv4VzrfDnajP6yb85Wkq + o6cD4ZZtcHF91BvA6G6Lw/2wmMvq+OyhP+YYcd11Q/7Lf75+BofX+mH+yc9OQ7ul0Waqaxrahxn+ + 8BC/Jzf54S/QZKSRUbw8zJm8BQZ1RRqpLXzsglNHj2BPqpZA9nK+ecYjhZPiGNQ1leMw46LP5LeF + J/T1v/X4zU/hZn59qNudV8XXP17BxRgoxfeF8mX/aTJwR0qAo1ctJvSsbJHa9/qMlmHj89kKLy1I + II/p7nl41WyItgL41g8pt6I0jFFLDkCEwQdtvDUNv361hXG8MdH6eRuL5dKVDEYpPNBsfSpCvmOX + CN5f55yaROpr/vXDkNWiT+/lhxWLrYEz6M3LHkfffJex4ymAc8wypOrHdzHNq1UJrnL2JJC9g0JG + JJhBvDtG5OevZ8uIVYgkVlOEL1su0BtbqfHufkOfbH4ljM9ZBONn+6RfPQiWtdF5f/zJyvcdMF2y + Uw7V4dJS3PEHn7/54S9//unXcImt4Ayf71f5xatrMj8rpIJ+Gx6RGPZOIkn6JQfNx/+jpwu2mWQZ + JpPJsUkOIZ/h+HgAjw82DmHFknlHBgHIErHJ/e02yVKEwgPKh+uCPufrlkuFuCEwjkUTu8TKa66v + qlGTQRZR01h/Ek4Eb1a74Jqj9eUpgBlK24O6Mq8vatZVXnRhSmQoioc3Wt8XDGjYJz2U/dcRm0tv + DVNJzg6U16sE+yfZ4OwBFgN+8xDq1PA9TGvjEcDBDlxqPe/b+pc3g2tXMjJ4iwZ6f3tooaa+faTe + Z7UeC7yXNObcN9iAlBQ9V44yDIPTmqiVLvLhcvN0GJ8bAbt7xSiWdeTJ8OWpA1EOzK9ZoC8VNA+1 + TpHqveoZSH0GS/X5Qo/pAAZ+VrYRBFtVQhsYNXy0bkyH7H6rsffiPV88uI+gaQwxqoJRLRbVcRsw + x3OGi2/+yX75w/W2C/A330gmQ9pAsNsUMnXR5x3S431Kf/k/tkPnXf/0G4iXco9RLykDO0zjA2BD + D3FwedzrTfgsVjA1a5Ooy+HJFzOXZvidT/z6C2xo3xnwen6biDOhTbiBOx1+8waMVr1ujmFII/DV + fzRUPDEhrnJdAQkdEurOh3j45qUWoNpzi/X91BZ86/q5qpO3RQr8Og1Crl3OMOZjSG0P2QkfxzAC + v347KMe44KTyz0CAfEXDGGNOB8nWYQZtmwiXOgi5asoVjCXnhB675JMMP30hWxqi3nlRw6XdRJny + y3uR77dgaRLSga/f/PrtfUGHemyhmg4iUoQiDdmvHqY9emPD8YqB9ceqhfrr7lKT5p9kRIeq1+Qb + VNFQ3Np6bljtgNd5ztGcadtkKcne0QymcOofUA+ogTsDztaeExbuFXPqpCCCTndNMZKIN/BHe0uB + sCQieb6PNBm++S6QT46Mv/lXSD6Z2UGxDjSqG69ryMSNSn56nyIp8DlPuKtCc5/Y1BDEIuRVwUo4 + MfTjz0fB6yI+a9/9wfph/aoJp5oH0l4/0D07p2Co8znVRmjXOCIfMrDnbi41sTfWZJ0PWf37PZCN + moOD2XuEC4cMaR6N7xQFiTdsyMUf4T3WRepiHIQCjD/lz2+ixMbWME/3LAAUxA61laXiY81fCCIW + XNFmuSYFl3qxB3uJjtQ67MR61kF2/uXf5CKsD3wx47UFzgBoSPvy9/jLN5ylPaD31jwNc80jDzZu + KFBzrFyTBa84g198RYo0JckPTzUTnAv8nUeGnU3PGQxrN0BwukdgVjfmWfvOI1Hd6VEt1DwKoPMk + NbX98zvMV9NUQskOMuzc88lk98eygrHa7gg75u96+ewfB2BeCgMpWVAlCxsKFd7Hw5XuXsLDpNlx + qOCzfC84MLb1MJBz1wFQq5jabL0zxbW5RbDSryoRTptpYH3ZHwCzdhB7w80Af/Ld6YMSMgQ39Ze/ + 9NChaYZ36k3jf+ZF71pQsde9Gz69m0BQv/yI+Dbu+A8PgFl0GtYlyIdx01IErpOj/PQ5Z/BF5V// + ofZUisP0ywe+813svFO9GJdgKYFYLiekCGsGyLF6tPCrP6iueW1CAy7kMDWfJna0oeQL4EiH4eal + U7PNhGK26JJraC0/aHBNlZpWhwuB+wpL1I+7N+cJcnVoDo8RBx84JYv7jD3t7pkeWgzBGDb6qh/h + tY02OKLLGNKdde4hqGWM9+gWmmONxvTPfNECAhjGb34J+iA+/JvfDDM14BZFMU6+/fv+8XVWuxcc + fP3AIwpeDnCsU0yDKW3D2XhzCXznEdhZYa2mW9c/a6Wc9GQegzLkVcM8KLl5jHd3vTW/9dvBp7g7 + /PRRyMQkV6EIvQ96ZNozGb54r4kPtlA3Au3ABuPjwGTa8m8et9Ss70ID6snpRsD3+uuvIXjmLiAf + R1Xr6ZsvgMb1BbISrn4ievCMQFVaExHbJwj5GFsevCeHGRGlcYBgpmoG7eEm4l15dROeLWEP/Ifs + 0OSFJDBZYjrDSi9VGrxWS832ybuFuaHnNN0NRThG9LUCp3T1pF99nNDnBvTw79+pgP/8x19//Z/f + CYO2u5Wv78GAqVymf/7XUYF/5rf8n4Ig/ZNKf04ikDF/lH//69+HEP7+DF37mf7v1DXle/z7X3+J + yp/jBn9P3ZS//vv9f3y/7T//8f8AAAD//wMAShJOBOMgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c6b14ed20a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:21 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '314' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 029615be347c457dc622d5cba74fd16c + status: + code: 200 + message: OK +- request: + body: '{"input": "Sample text", "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '88' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWQ+zvJal78+v+PTd0kcBkuDNuWMKYbQZMkCr1QoZSEhIwmADLtV/b5H3qLrq + JlIIUjDeXnutx/6Pf/z119+forqe+7//9dffr0fX//2/5muXU3/6+19//e9//PXXX3/9x+/zf9x5 + rYvr5fJ4l7/bfz8+3pfr+Pe//hL/68r/v+lff/3tJ8svlV+lXVErX4hr86DtGZaqBPGXTM4QWJct + s1/uuu0vFk4A2lFgeIV35sSNKVDv9kVllpCZ/rjpGwtlO8ci2rmTUy7XSbCWZeIRLCirli3MM0b7 + PfhML9vU77yaOzCpzgOPsfou+GDZA7CrHDJHua5Qv45FCvbHrQjWvhQNGcoSWCcSZ3jbaQUv3CiA + nTFe2MY28nYSat1Rq3y5/z1v1V9uJwv2z/uR+A/liKZFfTJgWXzvzC49K+2bLCnR/uaHVPLMizko + 1k2D91o6kHBEpj/4MRzQN9QsFiz2qfldv60TbBdhRnDKGj7hNw1QGdoRC4TjvXjbffNAephwWo63 + O2KW8T1Bp9Vbps/j+zLxLkIpFwyrq0+bcjtLRNh+l4QuHgVBg2IdNbQdPiExNL9GU+fbDvgfMmF5 + v2mrfpOdMliJQc7O7+jedjsqRLC5BDXxZU30W0r3ETwPxCZ69Pm0HEumAg4qETFu6ZeP2w/p0Jb5 + HgnM7FJMW+mVwcUtMZVraZPKlmQ2QKiyYyGL7uh9ML5n1O2FiDl+sm2ZXi4aUGrjToLypVV8k+kC + rPKrTSwhq0xO3a8HmZiURGtzoWC26XtwYmmDl9Y3TCczp6BM0/XK7O+98Tm86xoJzD/QdUDkdJqM + +05tfK5QNSlIym3TdGBzVFpmfV/LdmijlQDv3WlBlRgZqZzXrgam1gQk1E3bHA99noAYFicSViL4 + v/cJJ9mTWfgJo2Jw0AhQeKZK9PU2bsdHua8BkpISMrpFxadbdUZrt34wa9Hf+RD2uQHvsrZJeBKr + ontklQMPMROwhIuw7epbvoKitwmWniGupoUkX8Gj8oa5JH6mPMjfAXSLmBJn88oKjozvE4510ROi + q006LNDkge2YWyyH1scfev9aQxIt9uS33kbZP4iQtG3OsJe9zPHzvgSQFG+faKfs4Y9Ln1F4G0hl + ni271XCBdPjNH9nGpoWGY/QxYL3Ybim9jSPqdHcMYBBvhCrlF5tjCr4F/uXek2BCRTudwTwspLI5 + Mkf0LN7ujayGaPgQsg+okE6b18oC/dH7WNF8p+XoOEZIWq/fzF4k25Rn6tZAEnN3bF4/5vS5VRgS + DW3pWrIZp/6xNODj7zKs7lyj4H5+2MFCo2/mj4uhGvlr0KBE4wqL55AWTe2uJ3CjRUpRsuxTniCl + Af74Osze7seKunXToftqU5CLKvQV9d/BFV3dbsVsnNt89G66A9LuFrGNZ6o+7dD3g3ymMUbW3s1k + phGVsPH7J3Hkyz4tlXxZK5cw35Pt+tGjLxUjAVarTUl86FaoaaLyAUXxDvFKkd10WYjaVfXzpsbi + C91NHpcXAX2X8ovoWNm3PImNEwxuQ/GiGnA1BMfhqpyn1iTGs2Gc5+pNAdDNjhijtU2HY1Qa6jq8 + fVkgxldzUlEmgkA0hfjdlxY8rk82CC5d/PSM80wlBir9N2Z6v/HaUarz4bf+mKVvfF+k5cJBC3f9 + xamcPfhwMz4iPK5QE/MWm3/qB9Urt6HiQf6kDbyGBB6LrUG2G6Ezh7GPPciH2iTaa9Okw0HyE5Dl + 0CNG/EyrCW6ig3YfItKJ6vuKl17RAckfPtMeRtZ2bpzUcLxvJzouR+bzdbey4fRdMGaORlm9lVh1 + FLl2gGz226ToQ8k/w2cQBeJt7g3/ip5qoVNEb8TcOFLapGJsw+KWTsza2LjtVuK9AdbnOXNr/Wj2 + zB2falc2e7ZZJltzet9OB4U4uku0UPDa0RUzEaY6PjIHg+CPRHoFUL7FihF6kdHrV39BSc9su4i0 + djnPjzLXE9EFySqGm1HK6lcuRiqt66Lg255nUK+bDqPFMUd8QYMr2pdNxBzhdi6mvefVoG9hRbQq + O/Fhri8Y3A/F68UkFr17XSWKL2ZrpkUNSf/0s9/8m9/3tRhqy7bhsjA45ZZntlNwXK3QWlI2f/oj + /xhRAxfxwMj2ZJz8YUVfJQhDk8/6Nlb9PB71TQyJzHprct1ngLwwkYjnBIHPOXI8pbftjvhV/ESf + MHMPkK/5huiPzCg+iRh9YGudVnRSzHPFhZ4/QUKHAk9DJ/PR6vMAsK4/iFvtk2LIpN5Ai3KQ2OmK + CpO+3I8CEvN3mH/i8zwfyQ7ebeSxTH+KiIe3agerBztioZGbaqRiJkD9GO94mPWtu7+FDiWHNMJC + aNop/emP1dsec5djhMZXjc7osTsMxOhNk4sXKAaFH1cSI9I9MMdHrcngRMOXmMv+XrEsO63gGxoW + 0d/0WQ1uuTQg9M+UHCSkV/SE7jV4/dEkzuDe04GCIcC1/CRkW+UL/pHNLoNFkbXEm/RjwZS3JYIV + IYva/aOvaIuyCZIkc/E1MYqKD7dTjdbrMcBIMApz6GJdRGznuOTyDDo+vo0sUOpJYrQ/XQ5p/6tP + d3pUzLgIvjnRuPCgZYbMglF1EXevKwrV8/3BpRUt+WTXjqDglovE0erKpIs60eCbnDDdZYHHRyOG + BzpMJ4+ZC/Zph0eyXMHx4pxJaGQWf2WmMaDjdkjZtZa25jRl7mpdRZ+U+Y73SulwLD14beUnva0f + pJ3KPi6hUYuMeM1RQ3Qn3gHO66vGDDT4aPDk2xMZN63/07/6jbGWwdQ+AbkdslcxgjEZsLpOOkYX + ZFRUkPoaXVahTGb9b8tlHghInnYm5fp2nJ9fLIH2AWP2+rmrvoz2HSxs7UFcP9I4f5XLCTrx3dDh + pO9NvjB3gWpTKMk5vj3TT1Y7NbLat4PZxzXQrH8yLA72wELzIFd9Kt9klLOthlnaP/3+dnsAXJlP + 8EKLCpN7pjRBOGUOcy+LyB+C904B/FZ6Zl0eoTk8rysHjGQtESu8GVXf9sj602+suX+1Dg0i2KhH + gz63I2ung5deQReTgoRaK1V90zcBDMl6gRfNmaec3XQKaVJzKsalbTJ0HBM4olEmluOW6ZRH4w5G + f3ciOnhVwfANMDI+qUA/p6zi48LsGng96iUje7Ou3o9aT8BgNiL4cr0X8/OvkNVbHjGWGSq6e5ZE + IDxvCdMf2ohm/26j90vRmf0q67azvEqGJsSUOQux8Idbn9vQR/KCLg/52x/jOm+Qv7BVLDquVvQX + KjzQz+9o1/xVjXavADKe2ZJ+6cn3uVS7Bwi+6IqF+81C7RJNE2A1kolNjlk72Shr4NA+BOJuqrhi + 7OZ260V7XeNF59Upv4pNgH7+b3nQD+1w9FoFAu2p4eUiKtse9XGGdKNRmXPVZd7tclojXF/WzHTL + FxpyP/yg55s6GLT+nA5vz8OKLigxM8/1wxxM7ySguZ4x19zSbG8it5BzsJ+UdZ6ddvP40QJV21nv + 17w81yiActttMVBl5XOl1wBkkg5zPznwaUV7gKA4JHQYHZGPeyPzYCM6GtvkjsSbU50rwI2yY5tn + SKshvTkCBFqtsS0+ar7M++YKxDFdul6592qo8/2EDMd/0DWJn8Xw8VIL4aN4I3qxC/0pBEmBaL2M + 2TZqxYI965ODSjXomJks22qY+6WSfcuQ6Vmy8On8/0rX7nLmhk/J51mWrGDUPgdMh3CouGlkJdoX + kU2Sr1EW37u0y5AiW4zgIRxaNnnptCLr5o0XnK/9ocrAQGaOzrg/nBNES2NyQPO/e6K/zKodTrE7 + KOQq2kRPUG4OeXnZof3QXSmXMwOxbc9PgFT7gFdm/PQHtXY6SA5xxEhuef5nHq/67DWTBLFzLLia + pQaYET0Rq4syNDQoOkBS76/MOXeZPy7rpgHL9kYKrj0Ug+EZFqQr05vra6ymnTt2UD+jirneOuVD + i74BwoeixXXQHVs69XGtBLV2JJoib1uq5wcb5vxCTCw7Ph/o0gB83wzM3z9oNY6iQkG2LUowoe9i + /OXFWW/oevfxioGbxkcNl1OMYee7Zn/sHw7s1JdKr9oXozHLkjOsJv5i5ub2KKZCJgG8rcNIAvda + IhaXe4BbcZ6I09usGub8h+b+xKKm6CoaZVUJBzmN8cvdtAUPPG9CoytlrNBcnUtV7Blo7tf4NcIT + TWq5MdDGeDx++mZOijgJIJS1T/Q63/CprXVbMYfpQx/562iOW7Oo0fpSLal4FBXzHtweKzXf7SjD + /uHAJ4PKH2VzwfVPP/0pvbkZOhvl+9/1p7sjVrWjfGbOfkHQeAC1g/l3on3tntPJ+B6Q9chsZvYL + ivo7ikpUrz8d0f3YaLmM7goIkrCjwrf8FK2fXw9gX5WE/ep/wNkJK+G7M1mhZFa7TND0UYiYXAkx + k6/J1ffijAZjOTJjtN7p1ERlqcYRvTCyFM/V8DSfB3RW91vK5jw++uK3A129Xej6tqOcrsQ8gFq9 + c+bja15MgvSq4fk4hcwWcZKO77d1UE67d02n8tsVzHfHFWyKccJCMeCUd1krA38vTKJn387vl+Bj + 1PfGBrNt2rU86x81GDejx0O661B/zamIgnwZzbyjLEa15x6Ux2E/55GMszvSbPQ9xHtGnC/x6fM6 + 1LDPlwleXk9exYNbcoW4yO54+XTv5hCZxQnqacloV4aRSX/+WBCrkpn31zGl2/JCgdNJY8a83qcQ + 1H/7BS+N7v74fVMbXktVo4/FSIrlnPegOIQWs8Lbo2KzPkP2xAnx71D74ymD4MdLmP6mVvUnnz/l + eMesd1wVtJHODbIOeIHv/carBkOcDqBotTfnZyuV9fxqIbZdGHShRcgcN6pdgsEsRJXX+4bY8U3P + qL8dgYIYC2YvlZcPuudnnW38DKHxx1tM4rtUzL1zO+ZZtUOraXwRq14nfETJ5vlHj+O5voaupAlS + LS9gBB/vfAqNb6BcDBYz2z9I5iBfVxjNfoC+Vh+35ULWruB0ME7MEM5D1cZ1YsHxcLwxvdalor+j + 7AHZVlApWvZmIW99bCBZoy9GIBzQcE/exto3eIHRO/mk3IxFAey8PjKiv3LE7f5RAlyC6Y/+TF25 + l+GSbU7MnP00f8XFDp5krzBXuOzboSmDEqpc2hPjGD/QGIjTU3VytSV0CKN2PGXizMv4hZgNXMzv + slxmyly/xM2+PaKBkR2U8m7WeDGWTjXmZvoB/SqbOKYnt6CsRh3E6KHShynm7bBFd1ud64NpXztE + Eok+gTLzDYrm9UGdOpfR7MeJ9zUMn1vJRkbkwc94Zb3rivc0yMAwlm8KZNqh3/uGWHZEQo6H5ewv + 4g8U0zUnPjocUs6R5qgXo4+Jx2ldTYZ4V+D8BoEZvnTxh7VnJIi+FREPVaZwBn0uQ1Q+debM/qiX + 0P0K+lZY0eecd7kJfQAbdW8Q114NRfOmwgALf3fBw40+i2mXXx107HFDl/V5rIby/ZLhhiqNbI/H + FWI/nlNOjw/78bZhf2soKqNFRtdGeeOsEJ0zKlXcMbfqDd7bpkcheVyPzE5OXjqk4rdEsBW/xMXK + Mh2u0DWwdTtOdJLYJhdM/wDQxxpz4vei4J9YtdBeNnKqdi8N8Rr8J4r9Q8q8SV8WMz87QLNd8X/z + p17UHj8/SCELuopHUt+gfsoIM3qzQpPmloOK69sarybRSKeKBt6vv1PI723Komgs/+gfD+9uwT9G + 1ijZM0hwKSxbk21AtiG62QLl5ftVTY33PIG0Rm8WhpvQ7G+SWaI5f/7pv+z4rq8w5w3i3Kjtj/ve + OUGXL490dMiunTJp94RgV+1ZMD/vzIsDNG4gJjOPQp+5f4BsvTvM5zz3aWvng4zd7st81XLTMfXf + T0TWnzeVVXiZbLq1V+RotMDLbdqg6STJux9fYtYL3X32krdXcBpzzXz9qrUDrXkCbOe5+Df+YStJ + MqxRoM2ZTStEjfY7hJcCwu9J/vpjFK1t1Drbyy8vFiPNQ0dZuOhL5UMRIrSPJQ11uxumuSkJLbu4 + I6CZNzHfdZbm8FCPiQJb+Yvvx/RbcanWD3/4aOha35Zr/s1WZj3B9W1Kq2FKrvjHi6gQWy4fCcrO + MPtZ4soFbsel/+4A4o3C9OVIzEHsJwW+o/7ByjG2quWc31Fj1CuMikgvJqHcK+vZf7PNukYFLZBy + RspGSLFwOHUm38H5pCyPw4mFW/o2Z32MIJRjQvbwDc3uod4SNKKrTNFL/VY06LUnoDcNqXS9ZubE + 4qcB8/oh2GqmYkrMrlMuFk6pgPWVyRxqRXAX8Y42tvxtuRiVAzD3apFAhoXfFHUzATXOF+Id1juT + kXJjAxOjFwvyu1+MeY80kMjWppJuPlPmuXcNvhoKZj1QfzyoRvfVtsDru6Ejvqu5rJ7Er0jC0neL + UZIEjL4XO2FOKASp/Oh5AqeNEBCtNsFsr54nQu3omBHSlW1XgKFAsLvvqTAtsblcxcUJHR+Pms38 + sJiub6uENcIa0RdcnvvR/gMXLLp0fHZyW8eZeAKrXCQMO+0eTQWazhBG8opsF1FZDdf3DkD/bHd4 + 0U77aoivK2ulYjFiB9e02t/7g6OmHvAg+nXFmKmu4FCcB+bHnuAPsdlFSH1Gn9mvYC6d6av58UJM + PW1XjWsjisCxXg+m1/kLidfj6gHHOu/JthENc1nHHUbxs52IsfHOPuUqXoFVpyFerIIwZVjyFeV4 + 2N+Y0xS0mIbjx4O6v7yIczE3JlPgdUK6GBXM4dPOH+d+DN/p0TCyfrCq59L5vE6WcjnrQ+93e+uw + gqN8Q2xD19ycHj2P4JqPNsOEblO+rCsb/XiUdtDidiiTgweqAB0eNLIrJFs9nsBhe3HmRYb/4xtI + vu0FYiXXJafJdXiosta9qJhITzSIWYVhvdtJJN5UDHWpu05Avxx1pjVFUI03tj3BR3bWzD/XFeez + v/jxJkJURfPb4ZY8YTEdNuzHKwcq3ygyb+TItPF251MjnT/KzDfx0G/HYiTRBytdLh2Jqz+wz8hr + 2P3J48FjFfvsm4QAy+R6Y1723pr9Ekysju3pw1xFNKof/0HNxHbMcdUPGjvqCz/ewHBioIr5+XUH + s9+hpejbVZvE3kkRqdDM/KszuzwaVmpziYBtBiK1Y6PiBhwXXbA883P2Pn4Oir0wKFZ10/b7GE1Y + neT9i4X17VLIFQ0c6G5+goX9pi84icoG7dHpQdfH1C8m0zMekIqeyYJwyzlr+kfz25/Bk+bbiIue + 9AB73byYt6vNakzqRwlvJ1xhUd/45vg2ogDmPES8XV21XH0vzxDaHqc3ZYmLcQ07C/aMFCyc+T43 + jh+sGOtRY945Opn8QqkNfH3esCBwDXPmuRg8ox7pauYVHBn3p/ocFvm8X/RIeWMoJzTXC7N69WPO + /fkKf/KLuWN8jCXZho5sLUamq5KOddwOaNtGJsHmjqD+Y3xtQO8uZLtGkQum12iCviYOFub8NgVG + tlMkWSuZqegSn/T8YKFQtQJmvZ6iyc7u3f75GzyGUKHBuvESplI90847T+24/WwpFI+TP68vnA6n + kgYQ39LPHz36eJB26CobBTFUGxc9elMHSjtOiXWvhmqwJBPDPUwUrI5P2eRr2JWQ9cWO+fHd99kT + KfSXN4nH+srvXjfdUNjEKzzNevlagh+g7+N6poMsWf4w91eQcu4TM0cal377UcJt4+AzSz7V93Nc + TbDfCz7zJcMo5v1XT0V1nLNIh6qazuWiBBGLmJFVEBajk4EDc34kxIqFduYtAMvQ3jNtXi9Mgf70 + 8xvzeM8+JaYnKLzgQDCQY9v99jPKcSti+bJNqulNhQlm/SY+ojYfFeProeGmLWm7OK5Rr/TOA5r+ + 6OEhN81i3o/D6ELhRZL5/f14ujr5lUWF++2JxmtOZaSGR0zlLmjToUeTBXM/JES+XdCf77M/IfbM + i5nZawNaUZmwoF6L7VD2dwGC7/rKDPum8NF4W/jn18kmd/Z8kMyiROhAfBLO8zOtbu4DHQ6OhJdZ + X8y82RPAIXFN73GtFNPUx09Qit2Z2V3QFvP+3gQfrXv8eGPL1vEzAfuZnJnVfdx05nkJyKqxpbxG + 6+rnT6DGov9nv6P/JtdMKY/TntlzPxmy0rrC379TAf/5j7/++j+/Ewb153J9zQcD+uvY//O/jgr8 + 83Q5/VMU5X8y+c9JBNqdyuvf//r3IYS/v+2n/vb/t/88r+/u73/9Jf85bfB3/+lPr/92+R/zf/3n + P/4fAAAA//8DALL3VtrhIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c6b449420a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:21 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '43' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - b475a6d4351497acecc4ae68009ea3db + status: + code: 200 + message: OK +- request: + body: '{"input": "Grocery list: - Pancake mix", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '104' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RWy9KyShLcz1N88W+ZCBGFLs5OBFEudiMo4qy4iaCgXLqBnpef+DwRMzGbXlTX + oqqyMiv//Y+fnz/vpMrT4c9fP39eZT/8+edvLIuH+M9fP//6x8/Pz8+/v+//ZeZ1kmdZ2RTf9O9n + 2WT59OevH/G/kf8l/fXzJ/GGO3Efz0fQwOcawafJlxReGk5mc+E/IfPrkS4KnnTTcBgwCqviwQws + 19WsrDeuGpWFzbLkZFTzYyn6yriT3sR8dKjiw9l6osi57rDAxNmZfetCYQmhQoV8O+r0pC5sNMvG + xA73SQzojosm5B+6ZjiHwuGlcHaBld6TJOP25Ux+vPbBVp0OK25DkgGxtETT0LmUbjPgk+RtPVD6 + pGCWJVU8SW2hh3rWCmLWo191+qT5sLq8ArLZfXrUslcUKye1o8wYmIf6/H48QKlHlLiLi5gMxVoR + EV0fV8zslYKzCJQDlOedTSXZo4i+e6dG+mOjkd2pnfV5S71a5dT84JW33OrTLHsC9E4eMlfLbGdy + gn0O4tTMw1xin0/ELTbgNzQh7lWXHFqs5RE251uDJ83SAq5USAGMbBWjx8D49BblCG6aHtOVs/XQ + 8sh4r1pyWxF342YOI+wlgdZVjNiX3kza0pXDL554cSuNSvwojx7CTF/T2bneunF8xQU8vHrLXKi1 + atXtphC2QeIxHRCuqB06a9iET842RXd05nu+8KFetgUVerpNhqbqWnjVL4Szabvir/24aKGR0Ybs + 7XPIB3ewBLgwb8MsFanOsLdnF0wpjpnj7nXULmJvq04l1TDXEkWfOU/XMMvmRD8foun9JvN6KK7+ + wOxQrxIaVBFG2nTa0IX4NLgYXJEIEs90LCwbPejj06ZFVxmdCG587PAszFz07bfQ8hca54EXqNkb + ZxLKjYPGJjIxEGd1Y24yefpU91EEjyO9UdkFzlnWFjkc4kagr8t+offLfXuGgNsb+oRE13nbCaM8 + gncmemssAyaYOkXJVumIKXuYf754CwLFxNmpy2oyJj1GByrHxLhPUTXvvXcMSK9fWK5SxtluXBbI + 3Q1vYgyuirhvpW+Y2H5DDquwqaYTOc3oJZRXtms8wRkWm/yJBsmuGFlJbcWk6GGDt1rEZL/HNR/O + n02p6oIk4pW3fzs0pC0oRt1fmCaDWHVcdgxAYXqki3M2dFQ0SrqYT/LANlfhwTu33Ybq225SPN8P + W76CFYoUQegxscuRJhQVqxzEcxGynRIMAU8OLiCqeh0hAQuC8d5WLZCcacTMVlM3o+WWKr/90qft + 9N3Uqn4Ejzxe0kWrfipKhO0a4oNVkqMUPPn8FtdnuMTwxCvVbwJuhbaEPk26JNlHrxG9dJOL8vWi + IPprWAdjvO1biMQ2JvhiMZ0fG1cEVTvELFu4OzSJ+4cH+HIb8Ip3rjMevLJE9dj05Li7l9VcarEI + 1rUI2NWBglPrpkXg4Ncdi0l9qkb2jjZgF4ZHTDVZcio/HHeV4SDA78XaqSZvecfKkhYm0eTXtZN2 + 1JUUN3U9lq6GIunzZlKgfoLBdC2J9cmdJ6x61UegshETNK1zv4S6nNfkOL1svnpXlxHQ1p4Ilo0x + 6XjbGCAWlsBM4fLiY7U3XGhu7pOZ8fTovvWqr+sloIvtmSaD9lq3oCTMwOsP67tBukwF2KrVEdd0 + DJ2ploWhSoSWCr98mZ+mEALyV0fi2He5mi9Tkau3zjCZk74jzoez9oSVFqzIITo31fCOJQX4R1vi + 5SIyAunLXym/28xND8dgysNriH71jeEDfzjtLMWRIofbkTnirXQGpeYlqqz9ln7iTYJ4REMblRoo + ZI+kQJ/KeSGhw7EsqRUrHR/3wXsLeXQyGKETr4Z4QbcgvtwZy/edj3jg4ghF2B2w5PJP17wyxfvO + h+DbOXTGsONn9dVixPZkbBEPu2cM/q528GTUOBkT7NioZs6KrjRy559LFvrQxqcH09X9sxqTQIkg + uO0CLPFM7YZo9zCgzZQHITSWqmFIxxwutndgGNZxMtTRzoby2tvkanecz4Yk13BIJ5sR1lVVi+qa + ooUYV8Ro/YqP7rgpQDj4JTtQUa+m0t60KuLVh77T7lmNN+cUwcN7bkl+rlOH6+XLh7flvPF8sxLO + ooNH0Rdfy4UAcV0aC7W4iDJ+DmxEPEvdFGVUZWR/21jOOL0NH6q+M4nu7d2AKyyOoPbNlO2GehvM + lyzD332ggzveKoqW2x4lcnhlO3lUgsn3nUIpDtsdHb/6+tCKXi3kSGXZRzf5+HR5Dn1/mAkeZSuY + 702/RcMr3bNsiHU0669KgmsSaUwPjqA3ovFooRZxT5uH3DpVpxoFCG9BwII3z3rvx/IZzo68wKoU + GGjpJKILmnC7kgManr/66sRKGiacGa/nB82vYhTR0oYtM+XG4b/9uBDPmDD9UU7B3DDLRMlKqYhh + XstqBHZ5orere8TQPodq3m2jA3xqXfv7vo60LEZVCPch0TPaBLz+RCOQOTCpOGc2n+KDL6nK4nT4 + m6/ceJ9LwIEqE2uadvpz2xUAsrcAcvyd55SV2hNZyLxiOAl3h9F7YYL3pjPbJWKhs+CktnB7uzn7 + xSfhJ9e34XnPZnY4ckjaV2LVoD5pTofkrXXjGAoF+vVreJ12Rscf2m1G50BKqeIJfTItBUjhFQsB + sYTl4Mx0R99Ara1Dhb0T8mnsDj3IGjvTdnSCarbsIQJQugmrw1RwnoRvAZrrPP7ywahGUeMGmj+S + RTYZLpyh4PoTjg/nSNvzLCVc+VQ2ivpBpZHCz9V4pYOJfvGjyv560vsmU3PU1XlO3NbcBSxJPRdS + e3bo+pjeA57e4h6pq9pktiwY3fid3y7aHb9+rhvT18GGZYtMWlD/rf/yOVK/93V3WcpOr9TiE0L3 + mmLk+TafLUOwoc3WD1rMGdEH9Hn5sEimlthHexvMzrBRoDDrEzNWpcaHuo9i4CP4LEX2kPzeHxEo + 3ejMfeZJMC5l7CF19TSZpewDnc+weaqfc3Mk28v6yefHEjw4jFdC3CIQE6aqbQvffTxYizl4P6OT + AGXoh3/7q6lYzyKyoHDIqXrTgJ+z1Faw6ezI18/28kcxv36LnqrTFExKjUoollyl68W6q+Z4d/Zh + ZZ47RtK3WM2ornuQZo0wvGyqhJuQbtB1fc+w0uSHYOzxx4M0VRKmDbXZLc3DJkWh6KrsIKXXjjrN + rUWOrwAV77rQ/epfDPkiPbDfe5uMq+QjAp9jk2n+0UqWya2owV9HK6wKn5lPTgIuqNsaY07g5Uwc + 7H7t3VKbHA+vuev9eApBKzcR2V32C4enQZfDR2Mv3K2Prr5UomsJ29MipStW7PRZT1cm6KP3IUQ8 + NnxyApIq1ttlxOqEgHfv1WcLzlJ38eqzRk6f3y4K8l77mU65ck4mJcczOl88j93kUXIo1g4pJHXO + qOYfP8lwbN0c3Z+pRtul11bTTlLeYLrXAS+CKAy4v2nW6IK6zVc/9Sla7bboujdf7JiXqBvbzWmD + CKcK0x3c6bzdbA04V3uDmUS+BXNQRa4yRr3Hboto48wYnWywLtc9NY92XXH+XEiIq9cT/dY/Astq + RTrq4df/BtN0Yxhlj1XEdpJUJLSJVVFxmv8AAAD//0yayQ6DOLaG9/UUpdpGpRAmm94xhTl2EjIh + XV1BRgiEMNhgS/3uLUip1VsWDOYM//+dE10ojg0lptHrWMFvHCY0OKV6PEafPYHX1OQ0zLcmFxS8 + fEO89URCXOKDfus3T7AvX5gsPisjFIZryeAN7WLEyxOIycKKda1Y2Co+Tv6md+HdA8PR3RLNHuuW + Vvi0B9VQdiR31agdPRcSaGXbgfp2SvkY3UsI1svtDjtCeOYdZlUOeIYNNNiXJW9Ln5qwHg2fhHjD + W8aGwgOg7Fbos64g6PpdpkN87w2yzG2v5aut5/38oDmopcVO6YOAKT4waigIOwGGA2ztA8Lz/Xqr + fKtwJfcq3XRPDmooB6ef3rlP/YQdx/r684ebThpAbeyqO9RPFcemto3DUdPzA/RrRLGxQmk7fLrk + DpdP16WbtbduJSeQHajtRBEbgqS1zVJ7LGY9jB9JbresC1+Ndnqdj4SF+rVlVhvb2lS/EbjWMmeb + 7HOBV3u5RBdW9y2TLnkEv3o8ktZFeVHO+uKeXrd4txOjuAeFaMK3WEtoWDsJL7Fh5GAd7BO6GQ43 + PgbbWwcmf43U5LmN6at3rvJUT+isn0bz8PB+/X8zmhLoXjJXYftYrujm82HFMOfjZnX/Yvvgv/lY + ROwC36uNhU3nu2z792WrQslWJey9Nl7bFXiAUKrvgDTeOoxXHJoERgG7Em1oU0D2tycE54/1xboo + dBbXBE2Gsi9xpHTPi0X0p3eCZ9cu8e4ErIzrnpjDwdzUCJBq4L3x9FNoBKsYLdpvG9L3MfnVa2qO + uzzkh1YOoI3cK7UwXIeitGcQxm77oOF1lwGmSfAOv3K4Q+/JT0313wOhJAtE0as16P04RtBG6yv1 + PaTwsaZmAKb6RKQQPsEvP9Wn+UIciFJG+VsS4OTvCXBa3M75AnI5rQh3nqPVCEoUwNaUU7zZX6xi + COLrFlzpYE16Omn72R/bwstHshN62eqkeTqMOrVD4uRHW/HyDeDkJ8lY7HZx728KCMKivPz8rdSo + KQOZcZewfvG/1nA4iIf5/OhmNYy8V7uGgXBlRGiwKeRfttQR3K49QgRj3xbsIoUQXB7NC+vx9gNY + jKMFzPHYUyy83z/9DcPDaZjiYd8y7j4jDXxUA9tjkYKRlWsC69fwQurdFOL+c8QN/Gi5/o9+ZTxn + 8EaW9OcnmefyWnt/LphiKT6334iNETzthTWKtfurGAVD1Wc9hnh7NLNJn97VsG4iuvbblzVkyPKg + vnstsR5/3pzvznIDNvfdG+upDMD4ttc1vLtVTUNi3Xiv0HoPy9qg1N4sT8X4tje1urC/OVoUrhty + le5T4MYPEQlB/m3Z9Zps4YuKX2qZnWux0xMtwHIrPib+QQryxq0DJTt8IGHKh25oDTbrZcLNY2NR + 1r8r2BteS81d0AByTeIBGjSgkx8P2jFsLpEK3rFBVmhTWiSPxhNQx/uRLEl6avm6fOggZRHGZrS0 + QKe+NifVXBVP8n4lORhXotup57JcYStfvzMebO4O7A9mTNHuuLY61Gxy9enpa3rzIG4HzEgOhNjJ + qZUUeiZaZSuCr74bcbVafwCR8eoK2Xs84gcG33jiA0/46ewIoxQ5IbPrWwVsg9yIMuVD6Z0uBHKg + 3IjyqEtAyG7jwfV6U5JV/WqzsQtzovVSdSa57ZhAqL8ZhPN5S8tGC+vwhEwA+OuL9ZcZWMOlpRWY + eYguhd/5PA5giNsrdT4uLn56fAxziIM82WVs6JUU+BUD2FiNm5avW2cL6W3p4qmegYHxZgCZcjhj + f280oPVszYH3TLaxkZN7xvcHEMDcSgme9f8Q7+0Kzv5OCHK/IHZODnDSA9jCyd7iTYWfc39Fq12z + D0dXrGTYj2uK9TJxrdXW4nu4PWQn7CbnyqrGx/EC8f5g0m0qZ4DRcntR5ng/adkKFDYHOlDAoGMX + giZmJBlVbc4390YKayiOdfSL75m3DfJHP2nNBq2RVH3e4Tjrz6mfIPVeupkkHYsaBpmV/fgZl4J1 + APVdscT+idpAuG6hCiZ+SpZSfC44g94bWE1xocaxOcVTvZeBEygKDZPzC4yfo1tD58ZfRPB315a+ + jB3TbDnwqUnAjX/sx2eAJCEfJJu6kbH9PrjDdh+a8/2y7raRLoBY2pnq5WCH/aSvVG3kKlrpuA/p + C+RXVdlqEKPC/YRM33UHkJf5Yq7/IZv5UbWqnwRMPIA0aizM/ZtuX2YQ0ke/j8CnqS/YP64OYFAr + WMFP/YiIKvfnYky9VIDqzZPRyvdQ2FyTmMFxyFfYjj96IRW4MWGUWjbGUiO0AzaCn9/CofZ9huPk + 19X9+h3SmZdybCmecsLwio1FQ4q6JdIVrIKFSVZ3dQjHs2o+YWuqKXpCu8n6PPAa6OTOAnvk5rT1 + /S2k8LENSoqdNsxAHx4EKG8PV+ovoyCceRfYy6lEVOXjFpzmiQjCcnhTl2DZIp7yeIN656ypfz9f + wEATaEKj0wrsdz4IqZFGe8jDRYL95UW3mBso3swTcPBxw3gwy5EoM58EDXPAeNJ0HfKEb8hKSbR4 + iM9AVGQvWZLFENKMl/t4UFdrgLA16T2WeAlTu/B6otdlN2bD/hg4AOTrFXozweWjnqYeKJLxji3w + UGPeea0NT4+Njaf/b632e+sJ75UrU92mVzDcYtKA3bineP3uX9mwFgEB7yf4IHD4unyAVq2C9qg3 + 5BcP8rHrwN4OzgTGuAtJZp4YVMm7w6h15JBJ9n0BPxIVqDOQAPAjeclw9pcCtB2LD/1wUu8naUvd + RP9ahOU4UMO9DDGGtAVE01oC37Jg4aCIjXg4S4kId1RQqe97Phf1p37SiK+H1NQ+Q9it6zOBanS/ + 0kkf8jExiwpI4FCQT779WONUP0FEDk+K0rIImQ2fAqRjEWHTdnIwRvcegle0LXH8Xi7ipozKCurd + ycJRcGrDwX8NWxi73wc+TO9PtrrQQWYLO7yb4o+ZD1hBh+cMZfF7KEZbGTzwjf0EG4b/mv/XAN/5 + OaO+XpWAxWlx1ZrLqscR6j1LPAn7CCBYjUike7GgXyLs5+/Bm8+Ctqvj+WNCxfI9xKf3m+Yne+1Z + vY7YpKseNAs0Pmc/gUZkmrEUO+cAfi15pMbnesn6ld2yH391+O1WDCXuIzEdDIsGq23QDgqW3iCT + 5IL6qQ44ycw7A96jZnSzu8ctWxNbgOj8VqixedCYCUrkzf4VvZHitHytNFvwbCsfveoXbYd05zWQ + GZsd0fy4a+f8hX15d5F89ca2t1LnAtdD51Cnjirw1Q+NCpebhYh1dRlbY7G4n2Z+ikQupC2P0zyF + Byl9YjyYTz4kEnLgtfMtpLgSLH7+H/NORfdQ2fIvUy4LmDgOojYTXDDVFx0UC0el68yprK7REx1m + OG6wY+/WrdR5haPNfEqXQj8cl4evCFi1eOH1iX5DliBD11Qm+3SvfbZhlyXfBn7gUFOb3RrO0ds9 + wPCDLmSlNkEmwJUtwvfjwdAiRVVIT0Li/fQmqsBo8fJimTBg6EkRvR0tvkDyFfDm8cV63dxDbpY5 + 086KsiPSxP9G6bU1NeexOeJQ21shf77oAtrsqJHh8qxCceEHWxiqjo7YYXEAtLyEpnr3zSuN1E8a + cyG4qFAo2IJupvkfr7sgh8lqp87zipZj/3kBKL2+aHS2TiHjhgyhlEQxNmvDtgjsbhBM+hS7RGMW + iQ8CUia+O/vPjAeZasO32EhUf1QrzqCqLGCGdw22BlQU48xnlfP9TSb+y1fTfFABeqfRjWcu20HT + iwtsSKURgXx1IE7zJuWrnm507XYJ4EMZVrD07Jba4hL90186ryJoPO+fMVseagYPu3aLTf6VOOPG + sIC9QCiNSoPEFH3FCn46J8KbZWECttr6kTr7Cb03QNjyhjpKPJIIH/cGDcdP0dYw+TZ7isOkjLt4 + b7/hhaOKsPa+BdKxCFN42G6uNOj0rmCecq5ARRWMHawoWY8N/6mEVnPAofn02rFb8yuES1Ji06sd + LibIN2FMhALHji9Y/BosiHqTDzrFpcwKmsvvxcx3sP187IEYfnYNlO/yZ+qvAq+V7GRD9VvI2Lyn + NZj9NhDEupp4G2t//S6ydwJZysDg3HXVCgDTG6n9vcSg2Xw2KjwunjUNPF5mfQKFLTx/jO80z7qB + r3o5P2Hx3Lr46HYKGItITcHUP6knndx24o8E0qiIiTDx1xGt8sXM3+bvj78zX2z1HhEaU54R0b3e + YRE8RfzTHykKHDjxIGpNfm1MlQUD0zyFhtFd52MhUxvIL13G8TRvJMW+fmtjtBhIt5dxyDIP6eqU + Pz9e11qi/IScXRxq7MQu44WvDnDiF6SNQd9OPBRCZuAdNXcvF4w7nDCooeUGiccuaIl4lO8Q98sv + Ks7vxOLO2hOggxc9RvLrFpdW2am/+WgYv7fFcFmqImyeLJj5cCt24beGU39G8lpoMzbNm6GU1i7G + eIPjMQkvB3hi3EcQBUdr+FxQBLqULGY/wim2lABexoFR10UOGEmiLmB+cAPEFO6E/LniSPtr3gr4 + 9x9//vl/84ZBVd/u5bQY0N/H/u//rgr8nd7SvwVB/JuKv00E0qXP+1//+mcJ4a9vW1ff/v/7+n3/ + dH/960/42zb4q6/7tPyfy39Mz/r3H/8BAAD//wMAmTbNp+EgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c6b59a3f0a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:22 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '170' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 37cf30ebe1e928c13d7f152d942d463e + status: + code: 200 + message: OK +- request: + body: '{"input": "What is your favorite color?", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '105' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VEpQ/rDgGRkxQBFSeTCSAi4IFTW+jO/u4T/K/s2fvG + BEqCpX1+p6f/8Y+//vr7m1Z5Nvz9r7/+fpX98Pf/mu/dkyH5+19//e9//PXXX3/9x+/3fzyZv9P8 + fi8/xe/x32D5uefj3//6S/ivO///oX/99fcZ6z7epWjZNRd+c2GRtyvqQqWnQj82ERBDVShmht5N + WA56YFJ0pbZVPTouvwUfrrvG9cB77RFfZd83RKggVH1kliZoF9CR7qmjJyhojcizojZCx9zCnvj6 + dJONkwRuj0tND+JmCPuLuFNAMymnmr3XK55N4gLoxtGx6+WmMz6ObQnP3TGj3uUhpH0FlQfbyN0R + 4fZqU5IfQhEVoVZS43ySQxruvj1Ir/sVO/azQN/X6xyAGBxib43vV6dXq4ChUv5gwsEu+JStCAM1 + Zqr3OHV69fQU9S2TwnuSMR8+DrMR1Gg7LFrsnnjn8EjzTZQ2ao2PdzfUxnRzecML7As22DVJm/au + l+Bdz50nDuo6HGtUCnDaZwgrZpo4/O0te1Rbh7O3Jf2T8+Ai+tDsLhlVtTvveNGRN5KbkVBLuJyq + RihNd3t83A7eqmVauvYOuy8kxQd5TZZv+cTvxUIGMUi9r6Rt0fTaIBUV7ftOxjcqK7Z7dhHczvsV + maztwpmUt7RAr5O29QYqxpy9rgcTtMHR6OFotlW7iU0Fqr3tUP2c91V3fXQ5uuvwJKOxwmmrD6wH + xWsd7HbK1mEH7aiCn8d7HHDjFY59USWyI70xeWLNRsy2bSbt5OOAnVtQd71ALxfIPt8zNtqhrcZ4 + SQD8RKg8yfCg4siNY0TYN6Y7Y0XT0ZUED7aSsCRTVRl8BX26AbxdrAhPZVyxi2ipULhCgq3roHaC + 3/UxbC7qgR7r50Xj1m3no3Fc69hzViSc7vs6QdZ5nLBxDHaaWK0yE6JT5FG8ZZFG+9XmDVlRnbB1 + Ejhi+/EB8K3eN+zWXd+N9cOrYa/eONVUtqvIcctFkNJ+8JgXfRHD+lOEVbXNsRejHPFiC720SuoO + 3yJ/EfLddPJhhbIbNY7BUxvqISOgvw4fbERkh8QtEzJQzYtDJKWzuYAbAUAyLYcesumNRn17jWEU + FpTuTo9z2sIRC5vWT3RPqLEfTvVaq9F48HrsWNRwxot98SEfJ5cq1VNEfUfHDZAwcj2Z6VE3Xt9T + udRz6UH3ZP8OWQvxG5oj2+LDS1HDtRLta3hMloBVt3t1/N30JYqsMcBHpgvVuPFuNnzj7eQt7+Oi + Gjp/EKH0Tzq1GA75GLS9Cq3cY6xE65MzXadYgO6QbekxXxthfWcPE05SpOKsqD0+JsKawNHyFOp5 + p5iz81vLgXEcYq9UA/QSQsmAMowpPmkf25kCPS4hsniAlesiTifsFBuZGIpCmrpfhTR5Ny6ELC+o + U3w+3QRNbaDPd7EjqF5pGnNifyPjplhQZWdcnQHHS1X61Qu3woZPpjxEoL7aqyfwzudCvUi+4J6w + R+1xTVKapeMCHDc540Ox1bup0soLNB85+X3fiksUjH+vn/pS01ENMhHatxV5YynUnKxRR1D5iU2y + dvGkkSx/TpBzWfK4FNNqYK5wAc+4y1SVWRfWnjrFaLy2FbVIv0PDuxwyeKieRuB5P6SCWFMD3Q68 + wXomDSGJ7i7Afih8HG40zeHfoibQt4ZGnXx1CSdBBRPdU+tL7cNh5Yy7bRGBoK9E6sBVRqwfmwsY + L1XGh9u94hN5Jhk6QcXItjOXFV8cxQ34x4VHPUESQnZ3eQ6256X0h7/U7GkMCLkudYT4WTG6uyjI + fXkfrHZjmbKyH77w3iPF2/JL6kwXsgVp/15r2N2cTTRF28aDr0o6IvCJdJ1ZbUrktdujR3a3Whs3 + 3sn8Uw/2Y/NKx4hKFxCcSvOmbHx0bDyFNQoO3pXi+5hXHcmQi5Kj/sE2et4Rie76Aoq7f6I3hjli + maOrMG2vjB6uXVD12S0wQR7OPjXoUHDy2w/aRVt6U+bVDt9Z+QU+yhKT6lMQh3wWuwhtF/ETW535 + qOb5LNAVThXdhfa3G6stSgBOa4cqq+LB2fkjSRB6VKO7Ibf5gA7KBC9bHMk0RXY3iPYUyHZXfKi7 + apfOtEYVkau96ZBFNRgOY/fJhwx3JXbylZjSCV4x6FeeYmsXZ5xoeFBQkZhvnCuF000fijzk3psO + qzOeslEHCRnf+kF/9UnN/pPAWgmDmW+qlI7VBsCvP0e8W0srbfKnLkfOjTyxam0X2oAOJoMFNwzq + VYOh8a25LdG5F0NsBYMbrvr9opbuy/eG2ubWSP/wxTU4aNg7a0U4zvODz+QLWJvA44N+5j0or9DG + 7vP+CbngBRmUkjZQSz2t0ufLKTI0Xr8VPoybtcZj+lTB3NzfdK+dj44oG0qC6vftia3cbxHRQ0eC + 9PxQsWF/ruEkrycPvkJ2wGeWcIe8T58C3XeiiI0yHkOy2ugi9OsYz/jSOkw5DUya+RXrSw+nY6P7 + ujzzL9U8t0zZa0QLOMeCRJUm2fPxjuQczF0yYvc7tekg3swEud8oILz7OFw4fyZJeh2oQbot4um4 + 3U05eEKzxoqxfKGpOrEczudTTI+bgDl8WH9V8FeaThWur8LpXiotvGxhJHywZd6L08qT1C79kMXj + /Q2pmMcK8OSYY69Du048Kdsv5IWUYw2dTG2QEiLBShFVIiutqrGAagH6nFIDu9SLKuaWaxc+K/Hi + EdnEqCWbR47WT0ehJiKDNiK8bmGeD47Ut+NMfn2PNgkKnoQTTUz54riQEAkvLt5pRR+yzXcP6FTy + AwFNPaTch+Aiz3hEDfwZuuaOVhkqhPOBHlilIHLf1/EfPra37piOduFHcmItYOaP0WHL2+CB09ox + KZ2OOsxTpVgeVrVFZz7qevvSZNB1koW152cZfr/7OAeL7xcEwfWO2HXNcrDkqcbu6qB1Y3h6tzDz + pTfkayOdwvWWoR9f6bbaIe68ripc33pG+sUYOiQWFB9CXjtkmZ3t6oeX0m+9f/U+XvjNQ6u1tPYW + rU9Str3nBNXW/oy1qzhyQo1XCzN+kaUqKZyfd9cJ9nf9hmc+D/lC3AqIr6sWG6LVhVyCYALloas0 + T96BxuzhnYOdGozu5a/O2ea2FJCjOm+yNHDF2cqZWqSWRU/3VVqkPFhuXVRw5ONjtF/+G/9XFcqJ + ZCm1Qy5khG2itDbhXOu7zrpZATq+FxpZQyk7bODxhLCYhnR/NKSuj6bWREZsfqnbKTeHRVf5AlH4 + hD96lxX7yoDDx/Mxfi0Th+XZqAC8xBor98VL49qK2XCy1Du2IblUPEu3C/SAuCLdgxA+Lqg0wVKJ + A3pHt3XIvX3gyvzSAD4O31b76WNwql0046lZkRkPwZFqjPeHzEbiMIw2tEMQ/1u/8Up5Q3yId9Rf + FUtEl5unL6cOibErVtdq3LwuNvjPXUfdcrpXY1btVPlz+Gbk02Vu15LQjZChWxgf0Eab8ZO7sFe8 + PbXb9NitCnwDGP3ng57VTKjGVf8uIBhFSo/+sei69drNkTK9LnT3eOwQc5zJheC2AmxajHA+KPkC + 1O72oYpjaN1a1vw3KoseefLW+VZjvxffcBXL0PNbcYvYS1FNeEF9JAvA63T03GcgK97XocF77DVu + 2dyEUPXfNEwdgY/nKmxRf9Fb7CzU0WHq2f2iEJsS/uPvjqaqgk11i7A6wRX7tl0NDrsWWLmUddov + PygCgcUO3bfrpzPBEYvSvSQ1PVwmyXlHXajD5SOV2AmDK2dCfIp+eo2sb/Xzpw9NqJ+6iS8nSNLv + fkkM4JcO6EHhY8oOgihAZkkBdhbI6vh3cBL0UF0Nm0Cqilg710duxBi1wreOGHH3AZx26IZ3GKq0 + tVXUQ7p7NPR4d7k2+8t4+w7GM81LdUL9QmEMHR5dROBgvTS2H68AHB1csr0ItkOwU0jwOFSZt/bv + x27c5bz4rRfe3QYfsdKyFugpGhWRT43Qjf5nbwOSbxKpGCmc9gMnSb4GpYS9t+VX7M27BB5L2NP9 + 5NYaLeW0Bh+RE6n5RCq+vAsZ/PSWkrmRNj2rjw3rdoeociqJNiSnTAHxbYzYq4a3w06mQiC2PhRr + +z0JSZY3E+SKyqhZiw7qesdzkWo/t1jPdhEayRQnSLWrLWFUZNrsX9/olQZf6jwLRePewWqhmdod + WdpbWavJSvHggrcUW6PphrwWQoZKnJ6p6/gq6q93p0WzP/W228uHT4Ut9TDXD1l81EbjDn+ZcKTC + wqsy+e0wsf7oSF7vJWwk9uqnny8w6w1vKRzVdJ0mdoFw4bnYXrifinwo91BzOPQekDNow9ZXajQc + BANf465xRl7EE9RatMd21hbpWA9ZDx+9GGm6fhvdWAZMQOuPcKQxL8aOxTkyJGOrXvChPlh8OheV + AMOzZqRsjmL340tkEgJ0N77MiqljsZFkqcuwPeMh4906A+FRZl5PzpnDxGOrwzvgZ7yf65v+ySfG + x5qUao0cCrvGRPw5JVSNlG83YF4JQMf7mtqkdMJBUT4iKuUXpuZp0ab8SY85ile2jvd+eu9+9YbU + CSqs+/kl7WM1F5AZQUgW2mdCox2OrbxEaoO98TWmpFt+RBCz6EB3nVqE1JRWJejXMSXyO/w4xD/6 + F3nGEwLL1qnW36Lu4VrCiI1gFSDurqI3ODDK1PlCgVg0tTb4XZDQ/az3iHZHJlhFdiObeX+t27Oc + Q3Ivc6IE6bujxVYg8k9fGTtRSf98r+XTV0gjYSXlu+nmS7P/IWMa1w6tsflFz/Jge5H2qKr6vhgC + mP2mJ01N4/CnJV1+4yQdhyv/rQd8lo75wxNEZrxBlwEjjNOz4IxpqGVgnB4pVuPDOxw7/yWgy2dT + 0qtkBN2YaEcJPVNJJeLqyjq6JXr7xy80s//uK+g8WB3JhXpK0XW9+YwJ2rVvEytBalQNfY39z49S + pyD7kJ4z/Y3MlbgjBQSflEldLUK73qn4UHknbdY7G/QnH0s2VGvzc7OAS1JfiITPfsfXYTHBevjc + yVa39XStfUpV3hn2xpNnfhjLYCOgMOjv+FguaodXx5sHbN6lbH7feMrOG9jkW5XeHuqrqpToWEPh + igkR61ORTh7Va7QSRhdrp+cr5Gb/iQGfny/8bcRSGxcLZQPGYnzj+0gPvMwPqQClH+rYOxC/49dh + W0M+TBPWUplW/c/vCS9a0z2ItjZ5qPLBO71TuneqbzcW78sCpspuSOfIEZqebmlD9mnP3tqSXilz + x/1FUnXW4L3wJRU7CAsBPadqR6S6ySp2K8oSpOd2RR0mLNNxypsI4jdCBC9YG1Katy26nr8vT0rb + hjdb36x//h1jqfTQdG+XBbq/A4Pu7gKpxqAPc3RkZMDmoB/SP3pK8sQYuzeTaOOMp9LMl9RK0IGL + 37H8yk+04t6k1qlGuY1qiImy/FM/k67Lk/S9EB3r473UZrzOpdn/YV+8xSFfZEcFmhML6fkRlR01 + K1bCajy2BJ30RqMNkcTt7Kfwfj9eK66lToSWUj1hT5bsaqKVtYFldSe/+gknU35doOkKoM5WTdC0 + 2rjidgIU0N0bld1vJ8Dn0GbYucOdT8GNGOgW5D7Z6sOSDwMrFuhUjgdPPAZPZ4i/T4BubBKsD5c6 + 5DfzXICHrjpWWXnrJs8acxAlwyaCh/SQvw1ThDlfxPau1tKp2RUBvMbtB3vrvHD4pwsXSNwfNbrz + tWc40tdIQJaajJonl3Zjty0Y6rkwUO1b6B2bjD5CjhufaaymHWI2Et4w85O3Wd2Kqr9/vgEsuuWO + zvmUNo5clJD0elypeUsch58WOwZN7jF86DPNEVqi5vC2shJnQa915HWwPHjFtuyxmT/Z63X20U// + n9Njjfrx8SRA4uaF8bLcO8JnbQfweYoy4bu15fCJPALImGx6yx0+duyg7VVk7y4HT8y0mk9LIiXg + RhOjeB4fwdy4cLhMN+zaVzscLU3Q5XAvmDgIt3bVHcJpAUTNchIn7h6hvR/p8qaUMqzDwXSm+DXZ + UIS7kupJXvLpyppEyqSTRDWu9RV/fWQdhpcd0J9/n/2XB18jOHrbZ860LzBkQiavMw9QNfBZ/9ZA + tZM869d11d5DqUCQn77e+oTNlJmbcy89D5uGqtvmWK3UwWrRrM8pJsdVx/aZmqCXF4fUqvynNr6i + a4Qk/dWQEUwfke4oqr9rekgnP2SfhCjgK47sbV+vI6ck4y7UwXpJd9eTkRJCixoS5WvjAPaxNgyR + S1C7D9/YLWrCh8hYxii4rYGsyvLAJ+frCaBpSYK1QyLxP/nTLrFPZHMOjyl3+GDDKxdtb/zkC20w + szGHGc890QxaPrgSuNKcd1Jj5U98dItDAsvPzqfaIUk4eZusBVEsvthhwiPk1VRfYGWbArbU0zkd + 72bkgfAoMmpscy9c0de2R3Peh52jWCG+zq5feBf7J93lw8HhL9HxgGXviOqstiru20Upz3mwt0Fk + cHj+PfRQlfn1l8doBNI7oHl9ybo/v1J+XOuqtHwGyk9P8bneBKSZA8epRd8a++7jDKD7CN6qXT81 + bp7bGOb8nOq3VxsymqkCnODJ/vj31ivEDP3y0B3WWsQiZRPBZbFvqPMBOxRtFRGkpxeZ4vQcaX/G + rzf3QNa8/TpiDGvzD58a8/dsyOTHID18jDOo6pCBfBPgXTUa/uXnQnX1dVTpJKKzHuaMX54bMDsr + wVoSQDqszk2BZryhRvnAjkD5QYDEeu5n/FQdHoydgax+I1LsK6d0dC07+ekJqqJI4UOwkexfPWDt + /K2cb7dQVFl0Nj7d65ulw0m3u8gzf9FZf3X8GroMDau35VH9PiFmGZ0k3dJRnf1DU7HquUjgbhaa + R2Z9OjZHY/Hr/+DjKyHVaGlgwBwlU/u2vFScaisR8jpTCNLoNmTk25TgCd0a//KsSd3lElRkI2Ac + HjbdBOkZYHsvOHXCYM0nJIQRmv0oWffLvJvSzsyl+q4TvBdFOeXYHA35c7z12LgA66YHucRwPocx + /embQT8jAvYz3Hjg8ohPdVtLv34UNU5zX8EM1Tdc8+WV6ld+075YfwpwXa729I+eu+BB+uU1BCLz + +rvewNFZv7zNUmPOiDbTG4gqnb3PuLlqQx6fGHxMPcTXYlt3/MdfBVIjElvMQ8L0vJnwiFZfsk4O + ssMui/Xml/8Scc4/xya9GxB8jT0pQyVw+Dlza8R9qcfedhdoE7t0HtBE2FBtM2Th9BzlYGv5aond + pis5myIpk1ak1mnq6Fk6rt1nD/eyr+msFzoWLk0Boifb0zsTcTj2+8Ufv+8J+auopmqV2dCk+z3+ + 1aOwHx8LtDr2FxpuhiwlZ+R/5Un1EVn4oHarg3L2IG2Ump4wVOFgBaoHDWk/hMkkTYegT3Oodu/G + m/OrkF9DnaGnkzv46DPQxruZuQhEP6Wz/0r7/qW28o2ylB7l4J2+ukHVwYheBnW+mhmuxmwrgf08 + bbDaHMWqnfNykDWbEb6GvcY2YqQj/owqbGrHdzcZ1S6HBi048dWNqa3zL+7Rg5Ye3h+XoUMHb9Bh + eQ/e+Ihu1/Tnd+SV8QkIM9NEy6Xr0vjpB29VrIVqelxv8Y/vvA0QrRtKvSWw8R7On3pldJcr0q/f + M/d/K0KeSf7rXxLpGW27Yf7/6DMFAjVeQxSK99L8ol8+Yc79xdaaRAMG8tCplz7sin8OG3/VV4n4 + 40/Unz/S5tf/wFZiDdqoRXoA50d5wK7jl4iIW8FH7VpTqSkSEbEm1yWY1qaK/etiE/bqWf8CHoyC + DHc3dNg93b1BXKYV/uXx07W2CQB1LrNeqUL+08PZxnDpr//D4pzP+ZPrY80KLcQoxwLat/ELh5nT + hXT23/KvPp1q5XY8WI6uLGDj5f3xT0syxXIdrJbeuIcLYpc08tbmce0RwVY7/v71wy1fKanbdCoS + Zr2LtpeUUntqGm3U2beEl5eE1LLecTjNfAq/PM/U2WaO7PUcNim/ks1xP/IxzjQf/OtpRxpUi904 + nMGELJmUme9stP75gbBQG+y6PEJTlj8ZdD7vqbJxmqr5TJ0C23Ghe4Lk3bTpmbAAljeqe5DdR43N + eSia82VqGmXTtdLUSejv36mA//zHX3/9n98Jg/f3nr/mgwFDPg7//K+jAv9M7sk/BUH8JxX/nEQg + fVLkf//r34cQ/m6677sZ/u/wrfNP//e//pL+nDb4e/gOyeu/3f7H/K7//Mf/AwAA//8DAHICMqHh + IAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c6b7abba0a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:22 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '81' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 71cb7c54950cb34ed724fcb963cbb17b + status: + code: 200 + message: OK +- request: + body: '{"input": "Lorem ipsum dolor sit amet", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '103' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R62w6yyrbm/XqKmXlLr4gI1GDecRIRsEoFUTudDigqIHKsAmpnv3tH/53d3Tcm + HBJM1RjfadR//Ouvv/6u0yK7DX//89ff77wf/v4f33v3ZEj+/uev//mvv/7666//+P3+f29mVZrd + 7/nn+Xv99zD/3LPp73/+Ev/7zv996Z+//g5y+cgcmx58Tm2zRnLe2sw+0xlNJT3qGoZYZ5vNXKF+ + OtFKzZVkz3ylDUMJurOntu9MoHKsL3n1wqsZdXo3U0YHN5Rob8ygLJWBWOs4SefGeplqH26OhITb + azEl0j5Q6XHUmCvWaUp7k3koHkqLndP7qattM6NQm2GAxVWz6+aYaRQq3fGYp44bfz7dcwle6faE + pfM+8mflMblQr8SW4Ta+W/yTGHs43yEg/nthd6JBxkyLDvqZBfan9efv/4XPU7qxwI31cHQ6JYJO + b2a8Gt9FN6vh9QjP02dF5cHCfMpqKQM6bRjZSMTmIypHD57srNKpM7f+uOwgQ9dqisi61J4+RXYs + gJ+qFvNv2tWf1qjs0XMb3/CzPy3CqdwFEmq6eGJb987RiDPd1ZYrTyDBZ3z78/QyM4WN1wPu26Dy + 2/TZAVRW4LJTaB07dt4IJVTkkRNrpRl8mjHU4HQvjTgrnyK+K1sHvFYJiYUMuRjv+2UL7uH+Js7w + GrpJ3RURtNuuoPN8962VLSAXwaZmLDlmejouzvEFhPCzZEYRzmhouqennadbRLbTfgwbJbEwADmn + ZOcpz7CdgpOrvpvMJrr89kOay8dEk3LhSlcHLoY8UgQbwqfxwWlxVTgr3nqlAfIkzM4tCweWby+w + 668rypzDmU9Q+zU6HuKe4ffu0E3mOxNR95EzErhCbM1+gUsonP0RIyt7+NQDHEPKTwaxl+UFjWja + 65pyrtC3vlBaq41Xouxwzojbfnac133kQW6JM9GzaOKzrewCZd+cBzrcHmrIczSoYLWtTtawSBBD + Wg/qnTxL5g3yOuVwTCJwtf2CBMfZsJbRKLYwXW8SVast8/vjO+xBrdQ7cXN51dHVWNw0CfobuayL + TzGPF02XO7gHzPd3y3TwDT3WbgXziC2D5a+KnLrwbm42u33GtSX5hVOqD89UiXmXuD+J6COBNe0d + dntFZTiejg5APTwWxKofp45vqC6CKUhvPAKs0kHmJsCgn+5sl4frsJ35PYKzjbdYDCZIp7bkx4Wo + mRMzXYcVI8rvPWI3tCXuPo6K2arUGM5c68haLa68Hwzkot96SUF4L7g5qj26V27Ltvz0tgZ9txcg + W94C3NzTFW8ARkHziW6Q6FlFfL5Ftg0wrwo8h8t18dtPdDk/Zoy+9UGRnQnI0g8x87/X4zi5Mwxt + vyGeFrj+2LlPHSWJapIksQI+me9YQp27WBN/vz6HE4nQCHU4AF6J3ujzYqozFMaHgmw+w6vr2S3N + 0G23sYm+PHu8+dXXtz/oceq6grp0pyIzjTNCysOmGJ0mk1G7bQqyPUl+yBf1EyNzt1pi7ZpaxbLR + kAl3OTCI84aXP4vMU3/rjZns6H63TcAB58BVqpbSlY+HXq/AENcz8fzzg3eRIjhQXaUdRkYhWl3i + KyXkIkZ08FjczeWndlB9MwjmdBuj6bYfSzCl4siCMrfRAGr2hNwvMgxH3ejEzf7sATmCQ/TmUBej + KY21Zr+sGqt5ckHzan2RQKYoo0my7ENuaEkF+dbckN19ZsUsWvLxh2+4urmSNbZ6UoHYlQbR1Va3 + JHhde9Uu5x2V1iso5uC6dX94RNE4H7o2ni8eWKdbR9EX/4b1TQGIVtaS+YT6/ryMfQ+V6HPERcwm + xN9Z2kMHj4ACOx0KfvauOjryxKJIfn04iz4dVlXrEjP8lN7djD/b6s96IsF4hOz4GgNNUqqMbTeR + a7F3y0sggqeQrWzdU1o9UQBzPV+wqgW1PyrR/agWkiHiJZzf1mjbiosOGfLZFy+7SRfiCm2HzsX0 + c3RCvnUbDFMku8x6uk03ld2iBMOVBerX6bsYrqbsoeVW5cw/eoHPUZfYakpEhd5IqReDzc9HdNYf + JV6EoRVOLN8m6JBEd4LToLQqRShUdTV1EXNpbPuzvi9vQHq6xXB9U6vCH6OCkg57EsTnoZuNi6LC + wFcllX715oETweNy7vE4b9t0CMTnRYtnbya6vTPT0r2UpUr7QifO6dT4YxSEAhTO8UiM827f8RPu + MlDOJSL+7VSE80ZzMWLecmbWIqchD0+XCLaXOyf6Rwit4XQWZfRSHUo2z8crZcXbLdH6tjIZ5ljg + 3YmNrXZxLBPP6xYXPZ+bWKlVoaZzJExpv5YPAbq6t5wE6VOx5urJMWxuzwEvX+8TmpqHu4dq1lqy + XfWT31xfrfrrT4aTxP7Dz2q/wvoP7zm1k+SmaFmrMXN3tdHcpVSGsJgD2l7UV8hfZ9dFxZmZFMpL + ak0/fKqjqCDp+W6EDQrjCHi4CMjOY3Ex9srQgr+/zXgsPhtrtNL4BuYFP4kVs4lTcb93oWjmKwva + wLFml+5k1BT1mv3+D8+951H7rY8Zdoj306kqQXv2J0KYFHK+VDsJ+Cy/8VwbbciW17iGOmRAf/3J + rbMqgLCJExZkspXO8rmjcMeKRh/OYcX764bUyiXFZ/yt/3R49VOG2mE+MP2ISTcdlxsHvfvKZDqZ + cbey+3oPn7Vl4PHhHNKm1HsBoQAhZkImd8wzxBg+Z+dCeSRWvBOMpw5nvuiwMu336SygWf+j59Y7 + 9WPx01OIUXpQD1Q0R8znwhsi0JYH66vPPv54zhtJpbvPh5BgZRa8CaMEXFHrma2FzBpiYWlD6Oku + sTcHu6hXqemp5Cg4DF83JOxx5nrqU6FvqvXREQ2ONQfakV8stgs/l7RF6iHTTkbyZL6g1QXLvXqv + /b5nbIMiHAlZi2h7tRPiKtuD3018f9SEg5OxzckQEZPv1xacWCN0NK9nfwrCMIDkWDIsLi4WF6/b + 1oFAyc/EsuzC6oPdcEROV2i0Zq7VTWq+r9Enm2w83v0qHPTe72GPrjYznRu1uKXorvZ57pbEVlf0 + x9ei6l/mNb10oxL29uFgwnLlCsy/b0zOElhhmFa8xp8i6Dh9pzoG0q9zsrs9knBMz22OJCYmdPG4 + vouZux6F95I9mKm/CmtmTusi+qIxM5/HyJoyrZgRv3ovutyN93S2qjkCdD5WdNytimLQ9cmGu3ci + bNe2Uzq3K8OGIvQitivWNppfxeCgy0SkL5+vfWlaaPi3nlg7ZgFafdcbJkJnXHfjNZ2GzctG2i7Y + EVsLiT9et7mDxldifPn/jKabve+RAekaSyd/kdKvH4Duo2a0zvcvxDcBb5FwmTxil6fO+vJbBVp8 + aplno4U1Xd5aBIN+vtP8+vhYnK1aCoPtmBR98bedgrsLr1K5sp2n6CndpEhH9qNakR3aPLqpctUE + ucsyZObZqqx5/4yowprJJ7/r6WAb2aqNdPzVQ7e0qnAdI04ud+bvuO6LwixXqJvqnHivufCHMGtG + 6ERfoW9DLNHXH9yUSb4QduaNanEFPyKUnw45wVK19ceNc6XgNHpFFVU9dONV81xkH6lEFal4F727 + OseQvHKXkYv/Thtnf3QgLMaAOeqVhPNFEzy4WocdM5zRDPllOgSw4S4nTo0vKW/EV4kec3/+6feQ + J20fIftRruhUvXg4ysNJhxZLMsFLcduN7/JagyFuZszfh5PFqqrx1J/etMLXFI4nfnPhGQcZidtw + 5zNLcV346d8N5wXqf/zRDn6Lxb4/+/OCJd7vOdl4+MPnc6wBOk1zQ/Tb1UF8f7jHaHt1Egpu/Ezp + t3/BDVSJ+Q9zh0a2oZ6s7KTVtz4eaSOcDxHUZLujcIfEnzN9EQGqWUxHP827ziwTEX39FSGP67ub + N5oegJdZh//yi+/LMMPXj+J68T7wr79t4ROw4cd/FpW2xR7I8fSgLW1t3swDu6jbjWVRiVV52G+f + swm782pLsL7102EhHHLYCQ/MjFoT0+EedxVM3uvO1n3eF1zSMxUOZ/wgW3nhdMsHESg6f+ieGWvB + RGN2tWzttV0LuPTrsRh++uEV3ho8TcvY5+UqvIGs7LdsfS7ddBwKPdJeRnokPz0xLKc8gbHHHW5e + MBS83r0u6IgcxjZx5Pn0s3zmwDdrD1fv+Zzyn/6pdNujr2Of8Kkt0RF8nCa4xczze1hZulq+VoTO + X7wYfH89wzcPIH62pyFDXqBC116X9OsHui9/ekiYC0xZMU4dbXbVDXL/lTEHX+aQ63Fygf1ViMiW + +2k6y/KoAuk3OR3txYtPX/0Pywt5Y+TvTukkei1WF0F4IMaxV1F9Dy8OQqVXs10fHTmfyruA2o0X + MP+VUc7egSuhXJ4atsVK1M2pL7TovvokzPG9A5/wK62BPmrh2//PlN/1+YiKvRkT19SAs1G7U/TF + S6oEQlMMXuLaEHaZzNbCcfRr9ZZT2JC6I9vHM+hm7x6W8LT9Df3U9o7zx2e+QS4GiNnDok9plts5 + LFPBI3jL+2IQERORvsows7/+hkmmEv32l1LivFAu7veelh1OGbHMY9F9/dYetXt1z7ZPI+9m4WP3 + 6LAsDnjiqof6bXYu4aIUW4axJ3fTXLwAHpdTTwwx1Xm9mfoYCuG8YdiUlmjau6n6yzOILpCgGKdT + VaGvP8fw7saQK6zPkb0rnljr+A3N6bMQACzbYNGylNHgJboDcZr3+KK1FZp0ISthJUkNltz7J52h + e3gAUT5hGc6HbjlErqB+/TRVL67B+ekpRbAT7vjnN7qhf9YiRKv29uuH4qvPMTxBLIipJAb/6n0K + Kd12xP6Yp+Lrx27oi6cMnxTKx9WF9eB2EmG2rCt8Wu7vWBW2y4mOQUlTer+uHKjGW0h8kDnq9eo+ + QrWZJdz0TO2mRLoE8OV7PMSWknJ9uXOREy8IwV1zTGkr0hah5fvCAunopu/JYRj6t9f8wfu+fqsY + NpFosNPrveRTlk0m9P3qRFfpfdlNk/MJYF7vD3TIUepzsb4AGK1wYlupWBdzksgC+vIXVtpQ6aby + pXpw52bP7Py1QIMhHjzwiWnQQ1nVIX8WT1MLd55D5ezVdXzzcJ6QM+NNxcd960uZvopAbuORbYRq + j4aSJjq43a5mWN633Qgry0RhVkrM++rHsbYHHTab04VUqLe7qZZdHe314EDSoiiKwTfcCPJ89MnG + 3XKrdy9lBf5W6rHoPN4+6yNRQC98CJnfHxCnpXOU4XNQrK//V9D47VeILxfK7O2w7iaN+Kpq5dGA + n/ttwrm+XH/9kMzJt7+sITlZpvbuSxPPNW/4uHJuInTs49HJuA8+a9NGhExcvan29bvTOcxvcPWr + JxUWmce57ac26GnL8er5eIXfPCVD2mEEZn3ihndFXnlgnLhOTPt8TekiV4/o/XInsssRsupx0mc4 + mteQuFNZFuNIaQTb1TXAVTo1aK4Wb1DzydYwiAvuzz+/+MDvGo/7r6t7LVUVus680fqp9f+FD7tj + IzJvoGk3bzZrCv673nz50UJTYa8S9HhLJ5xFldJ9ztrkwH1DDuzn90cfJdFPfxHnuKmL+aJJHgAR + TDqyYRv2hnWpQOW+jJf2fo2W6f2SIT4MhD7LcUbMUWsK/FKomC2fy3S8iCIFWa8GZli5wcWlx/Zo + a2Ynqr1fa77MMsWETtwqeLF8nlIu1nvhj5+3RGYUvH2zI9K37xuFgpBw0l7xCN5pEKi8j6NucIzz + DIfnCZhLdjWfzPRwAUEVX2yd6Nt0fFvBDX35ia2TuUY0UYoeLkKfseAVlel8r5VEuTL7w7bJ+WXR + +vacNUlXTEaCteXP6rv30HFT1cz2TmlI7/V0UQfx5n/zTIz6kVaRkpogE5NEhHNuXObVe9c27KvH + LD4GFwcshimWLsW24LdikaFESLbEm8khHXenuQdhOMtUarxXx83109FM6XVkt2//j6+1FKHHzT5Q + aIV1IbHQNOFTv1x2H5w55cX0zOA6vi7EDs8Vmtn7JiNe6QUxdgVL++Z6jKFPkzduD77vK6/noQQU + dwss6padzovnWUJHGgx09nhi8S5gOcqe+xWxxPeZM7vdich8KAFL1usa8XExulDRCyKBb7WIPtur + ANLpMdLxm+fM2vF8gZIfFsT51i8LvO0In6d4Y9tiJRcjP9w89ZunEwv5Zijly5UAHkDLvOX9gEaP + 2zJkXe+SBBK3GKuzMsJURTKxiPdOh69+kUmZSFi8Gm4obepEhmrMQrLFm6U1olL2IDIdAXPF2RU/ + vQvHKjewuA4YH4P8WEFjlJRtQrpIJ80sTZT08Yxh2N/4wM+mrVUVJVTuRiVlWweP6iaSDDzzKu6m + tBljLQpflDi76sj/8JUenp5MV+RnN2Pe3JRdOfhMT9g6nIyPsgdLvNhs8xC6kB5v3hG++ENDU1XC + 4aR4Dgimv8bLyxD5E9MhgGpetMw6acdwdkv3ht7nZMBgfzz/m4+JUCRLnTmCurbmnx/46l2GG/oJ + Z5I0FFT63hLrnguIn72D/tNLZFteaFdzG/aw9i9HYicQhuPbsm+Q+kef0kIFf/w+R5UniyTKu6ag + 6mzrwOdQoOogr8OZPhoZ4dciZiYf9XDc7M8uZJnk/PgWDTdD2KNocXYp3672/qSgywVA1mXaH+tz + KBXCOoHGqChtQye2pg9TS2iWzpKqX38uqreW/uYj+GleV9Y0j4aEhHcTYLW72Wkfo6aE33xmszLK + kHVkK8C98lpmXJup6+/7ZY0sPt2Jt9FDNLSOnoN88lPK5Qj7q8JCFxjAXTE9iw58ZqGnq6hbRcz5 + +olJf3QSusUrl23K06rg19NCh8yANdOHWvzmW5MK7nWW8WtpxUX/m7f8/JW+MHp/VnxfVFW+lckX + /9Hcr41KXfOHS3bG+hQ2xyVxfnjHNnkSpCPz3Aq9H1QnZhRMvPnme5DFOWfbt4ctujdegvbdT0a+ + +Qpf1HWA3ru6+TMfoNfPXoI5Zgad+fhMWZT6MQgpctkf/FSXjyd04vgkuPfctM/U/RGFywC+ehqn + 075pHPjm21/9ZxXv2YxGuLpZzqzUuaNpE+8ccJdVyDxI6mI6rpocycpxy5xs16KZemIFP/3NvYYV + Q6c8S20jxy4GoRFDZrdrEVR/bf7mdbw+hq4IK1dbka+eRvNh6ZlAheqMp69+/JNnfvNsrMULsxu3 + T9UEt6YH5u/Jy5dipvVQkmlF0VUxU9FpYhXYCd9pncvnbtwOVxV5RfDB4zcP/uadDvTS+0oMYWV0 + PLjdWtQpZ8y8ZBmEXCLXAFjV7OhCdp4WvxWrG7pfj/UfvzQ3uyqDhikPLOioReNPz33zkm+/bcJx + XhgBGhRdoS/rcvE7yZxi7W62BZWK59OahhlRJN9vlLmi/u7YdLRsjST1zEzJXBWc7tscvnkcI05q + FDNSrxnkei8ScsC4mPTeoup3/oSn/cT4PJyjDKLIOxHvrVuFVHRqDr963S4nx5oX+Xz8+X/ijVEV + 9nmu2IjJtGTr280LV08893/00QZe4A/94FL1rGz1n97t+Ct696gQThs8OaOZLvErbUF7biiVlk5i + 9b/5VVMHnOAeNnzM2UVA3Wm5ITtp5N+8DiJU7PWYuO/MTBvpkreQmoKMP9/9546M9/C6WOcv36hW + Fx6XKpxE+UNModil43wHU35+OkwXCCSr/7R2q9bDffHNH9bhmLM9wJ68G+K/lyof/P4IkHXrFyNf + vdF7PFAheT1dth43it8nY3sERXpG7GKYE2+wjm9QSG1KvFQ48zFaiPrPH+JpLSr+pOaXGr7zHUJk + R7d4IzYVZHXpkZNcY87Xc7iH3iF7ovenRzqpfWzD/tUYf/qV14aRQ8D8nuD3biqm5vaWVOA3j6Sb + hYiGD5sruLzEOzM2yo7TTF/FcNDEkiRf/ptC7fbUhFVfYHmr8m54+eUemW8np3Iurwp6efgXNHdy + zDxu7PmgEUuFp9K/sfqITWsuj/MI37yRSrNZpJPv72Z4zJsRZz+9epkOGL2PuwsVfLoqpu6SJnDV + fYLhxmkxufVDQMm6H5h+951w+VrYMbrV6oM5jWd0S+Mz7eE+LGMSCI2YzlfHakHcPlviI1ZbUwXJ + TfVmV2dJKpxRLz+XHlL6bcNc9VaFPBOTGBgvCHML85Xel1N7QcLiSphFtxIfoLZa+Pt3KuA///XX + X//rd8Kgqu/Z+3swYMim4d//fVTg38k9+bcoSv9m0p+TCLRPntnf//zXIYS/m66umuF/D3WZffq/ + //lL+XPa4O+hHpL3/3P7X99v/ee//g8AAAD//wMAcglDZeEgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c80c6b92cf30a63-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Tue, 16 May 2023 04:11:22 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '215' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - f6796e0fb1f2bfab31d19d05edeea391 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/integration/memory/conftest.py b/tests/integration/memory/conftest.py new file mode 100644 index 00000000000..1f9ffdfece5 --- /dev/null +++ b/tests/integration/memory/conftest.py @@ -0,0 +1,36 @@ +import numpy +import pytest +from pytest_mock import MockerFixture + +import autogpt.memory.context.utils as memory_utils +from autogpt.memory.context.memory_item import MemoryItem +from autogpt.memory.context.utils import Embedding + +EMBED_DIM = 1536 + + +@pytest.fixture +def mock_get_embedding(mocker: MockerFixture): + mocker.patch.object( + memory_utils, + "get_embedding", + return_value=[0.0255] * EMBED_DIM, + ) + + +@pytest.fixture +def mock_embedding() -> Embedding: + return numpy.full((1, EMBED_DIM), 0.0255, numpy.float32)[0] + + +@pytest.fixture +def memory_item(mock_embedding: Embedding): + return MemoryItem( + raw_content="test content", + summary="test content summary", + chunks=["test content"], + chunk_summaries=["test content summary"], + e_summary=mock_embedding, + e_chunks=[mock_embedding], + metadata={}, + ) diff --git a/tests/integration/milvus_memory_tests.py b/tests/integration/memory/milvus_memory_tests.py similarity index 100% rename from tests/integration/milvus_memory_tests.py rename to tests/integration/memory/milvus_memory_tests.py diff --git a/tests/integration/test_json_file_memory.py b/tests/integration/memory/test_json_file_memory.py similarity index 79% rename from tests/integration/test_json_file_memory.py rename to tests/integration/memory/test_json_file_memory.py index 174097bc9d6..063cd60a574 100644 --- a/tests/integration/test_json_file_memory.py +++ b/tests/integration/memory/test_json_file_memory.py @@ -1,19 +1,13 @@ # sourcery skip: snake-case-functions -"""Tests for LocalCache class""" -import numpy +"""Tests for JSONFileMemory class""" import orjson import pytest -from pytest_mock import MockerFixture -import autogpt.memory.context.providers.json_file as json_file_memory from autogpt.config import Config from autogpt.memory.context import JSONFileMemory, MemoryItem -from autogpt.memory.context.utils import Embedding from autogpt.workspace import Workspace from tests.utils import requires_api_key -EMBED_DIM = 1536 - @pytest.fixture(autouse=True) def cleanup_sut_singleton(): @@ -21,32 +15,6 @@ def cleanup_sut_singleton(): del JSONFileMemory._instances[JSONFileMemory] -@pytest.fixture -def mock_get_embedding(mocker: MockerFixture): - mocker.patch.object( - json_file_memory, - "get_embedding", - return_value=[0.0255] * EMBED_DIM, - ) - - -@pytest.fixture -def mock_embedding() -> Embedding: - return numpy.full((1, EMBED_DIM), 0.0255, numpy.float32)[0] - - -@pytest.fixture -def memory_item(mock_embedding: Embedding): - return MemoryItem( - raw_content="test content", - summary="test content summary", - e_summary=mock_embedding, - chunks=["test content"], - e_chunks=[mock_embedding], - metadata={}, - ) - - def test_json_memory_init_without_backing_file(config: Config, workspace: Workspace): index_file = workspace.root / f"{config.memory_index}.json" @@ -107,7 +75,7 @@ def test_json_memory_get(config: Config, memory_item: MemoryItem, mock_get_embed index.add(memory_item) retrieved = index.get("test") assert retrieved is not None - assert retrieved == memory_item + assert retrieved.memory_item == memory_item @pytest.mark.vcr diff --git a/tests/integration/memory/test_redis_memory.py b/tests/integration/memory/test_redis_memory.py new file mode 100644 index 00000000000..08daa3349aa --- /dev/null +++ b/tests/integration/memory/test_redis_memory.py @@ -0,0 +1,70 @@ +# sourcery skip: snake-case-functions +"""Tests for RedisMemory class""" +import pytest + +from autogpt.config import Config +from autogpt.memory.context import MemoryItem, RedisMemory +from tests.utils import requires_api_key + + +@pytest.fixture(autouse=True) +def cleanup_sut_singleton(): + if RedisMemory in RedisMemory._instances: + del RedisMemory._instances[RedisMemory] + + +def test_redis_memory_add(config: Config, memory_item: MemoryItem): + index = RedisMemory(config) + index.add(memory_item) + assert memory_item in index + + +def test_redis_memory_clear(config: Config, memory_item: MemoryItem): + index = RedisMemory(config) + assert len(index) == 0 + + index.add(memory_item) + assert len(index) == 1, "Cannot test clear() because add() fails" + + index.clear() + assert len(index) == 0 + + +def test_redis_memory_get(config: Config, memory_item: MemoryItem, mock_get_embedding): + index = RedisMemory(config) + assert ( + index.get("test") == None + ), "Cannot test get() because initial index is not empty" + + index.add(memory_item) + retrieved = index.get("test") + assert retrieved is not None + assert retrieved.memory_item == memory_item + + +@pytest.mark.vcr +@requires_api_key("OPENAI_API_KEY") +def test_redis_memory_get_relevant(config: Config) -> None: + index = RedisMemory(config) + mem1 = MemoryItem.from_text_file("Sample text", "sample.txt") + mem2 = MemoryItem.from_text_file("Grocery list:\n- Pancake mix", "groceries.txt") + mem3 = MemoryItem.from_text_file("What is your favorite color?", "color.txt") + lipsum = "Lorem ipsum dolor sit amet" + mem4 = MemoryItem.from_text_file(" ".join([lipsum] * 100), "lipsum.txt") + index.add(mem1) + index.add(mem2) + index.add(mem3) + index.add(mem4) + + assert index.get_relevant(mem1.raw_content, 1)[0].memory_item == mem1 + assert index.get_relevant(mem2.raw_content, 1)[0].memory_item == mem2 + assert index.get_relevant(mem3.raw_content, 1)[0].memory_item == mem3 + assert [mr.memory_item for mr in index.get_relevant(lipsum, 2)] == [mem4, mem1] + + +def test_redis_memory_get_stats(config: Config, memory_item: MemoryItem) -> None: + index = RedisMemory(config) + index.add(memory_item) + n_memories, n_chunks = index.get_stats() + assert n_memories == 1 + assert n_chunks == 1 diff --git a/tests/integration/weaviate_memory_tests.py b/tests/integration/memory/weaviate_memory_tests.py similarity index 100% rename from tests/integration/weaviate_memory_tests.py rename to tests/integration/memory/weaviate_memory_tests.py From 073f39e0e24570a90d68321ad6569be84298081f Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 04:28:37 +0200 Subject: [PATCH 23/54] Clean-up --- autogpt/agent/agent.py | 4 +- autogpt/app.py | 2 +- autogpt/commands/file_operations.py | 4 +- autogpt/commands/web_selenium.py | 2 +- autogpt/configurator.py | 2 +- autogpt/llm/chat.py | 3 +- autogpt/main.py | 2 +- autogpt/memory/context/__init__.py | 116 --------- autogpt/memory/context/providers/__init__.py | 28 -- autogpt/memory/context/providers/milvus.py | 163 ------------ autogpt/memory/context/providers/no_memory.py | 74 ------ autogpt/memory/context/providers/pinecone.py | 79 ------ autogpt/memory/context/providers/redis.py | 245 ------------------ autogpt/memory/context/providers/weaviate.py | 128 --------- autogpt/memory/history.py | 6 +- autogpt/memory/vector/__init__.py | 138 ++++++++++ .../memory/{context => vector}/memory_item.py | 0 autogpt/memory/vector/providers/__init__.py | 7 + .../abstract.py => vector/providers/base.py} | 7 +- .../providers/json_file.py | 5 +- autogpt/memory/vector/providers/no_memory.py | 31 +++ autogpt/memory/{context => vector}/utils.py | 0 data_ingestion.py | 4 +- requirements.txt | 1 - tests/integration/agent_factory.py | 2 +- tests/integration/memory/conftest.py | 6 +- .../integration/memory/milvus_memory_tests.py | 55 ---- .../memory/test_json_file_memory.py | 2 +- tests/integration/memory/test_redis_memory.py | 70 ----- .../memory/weaviate_memory_tests.py | 120 --------- tests/milvus_memory_test.py | 72 ----- 31 files changed, 202 insertions(+), 1176 deletions(-) delete mode 100644 autogpt/memory/context/__init__.py delete mode 100644 autogpt/memory/context/providers/__init__.py delete mode 100644 autogpt/memory/context/providers/milvus.py delete mode 100644 autogpt/memory/context/providers/no_memory.py delete mode 100644 autogpt/memory/context/providers/pinecone.py delete mode 100644 autogpt/memory/context/providers/redis.py delete mode 100644 autogpt/memory/context/providers/weaviate.py create mode 100644 autogpt/memory/vector/__init__.py rename autogpt/memory/{context => vector}/memory_item.py (100%) create mode 100644 autogpt/memory/vector/providers/__init__.py rename autogpt/memory/{context/providers/abstract.py => vector/providers/base.py} (91%) rename autogpt/memory/{context => vector}/providers/json_file.py (92%) create mode 100644 autogpt/memory/vector/providers/no_memory.py rename autogpt/memory/{context => vector}/utils.py (100%) delete mode 100644 tests/integration/memory/milvus_memory_tests.py delete mode 100644 tests/integration/memory/test_redis_memory.py delete mode 100644 tests/integration/memory/weaviate_memory_tests.py delete mode 100644 tests/milvus_memory_test.py diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index a52d0c34018..797c630c460 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -18,8 +18,8 @@ LogCycleHandler, ) from autogpt.logs import logger, print_assistant_thoughts -from autogpt.memory.context import ContextMemory from autogpt.memory.history import MessageHistory +from autogpt.memory.vector import VectorMemory from autogpt.speech import say_text from autogpt.spinner import Spinner from autogpt.utils import clean_input @@ -57,7 +57,7 @@ class Agent: def __init__( self, ai_name: str, - memory: ContextMemory, + memory: VectorMemory, next_action_count: int, command_registry: CommandRegistry, config: AIConfig, diff --git a/autogpt/app.py b/autogpt/app.py index c4a25638c87..f5d9c08b855 100644 --- a/autogpt/app.py +++ b/autogpt/app.py @@ -7,7 +7,7 @@ from autogpt.commands.web_requests import scrape_links, scrape_text from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory.context import get_memory +from autogpt.memory.vector import get_memory from autogpt.processing.text import summarize_text from autogpt.prompts.generator import PromptGenerator from autogpt.speech import say_text diff --git a/autogpt/commands/file_operations.py b/autogpt/commands/file_operations.py index 01319ab3dfb..7446226aeb3 100644 --- a/autogpt/commands/file_operations.py +++ b/autogpt/commands/file_operations.py @@ -14,7 +14,7 @@ from autogpt.commands.command import command from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory.context import ContextMemory, MemoryItem +from autogpt.memory.vector import MemoryItem, VectorMemory from autogpt.spinner import Spinner from autogpt.utils import readable_file_size @@ -175,7 +175,7 @@ def read_file(filename: str) -> str: def ingest_file( filename: str, - memory: ContextMemory, + memory: VectorMemory, ) -> None: """ Ingest a file by reading its content, splitting it into chunks with a specified diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index 8a1ed3877b7..0d5a4b14d86 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -26,7 +26,7 @@ from autogpt.commands.command import command from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory.context import MemoryItem, NoMemory, get_memory +from autogpt.memory.vector import MemoryItem, NoMemory, get_memory from autogpt.processing.html import extract_hyperlinks, format_hyperlinks from autogpt.processing.text import summarize_text from autogpt.url_utils.validators import validate_url diff --git a/autogpt/configurator.py b/autogpt/configurator.py index 3dc6af319a5..b5d669dbf27 100644 --- a/autogpt/configurator.py +++ b/autogpt/configurator.py @@ -5,7 +5,7 @@ from autogpt import utils from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory.context import get_supported_memory_backends +from autogpt.memory.vector import get_supported_memory_backends CFG = Config() diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 3ee777f7d5d..11ef9a46777 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -6,6 +6,7 @@ if TYPE_CHECKING: from autogpt.agent.agent import Agent + from autogpt.config import Config from autogpt.llm.api_manager import ApiManager from autogpt.llm.base import Message @@ -13,7 +14,7 @@ from autogpt.llm.token_counter import count_message_tokens from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME from autogpt.logs import logger -from autogpt.memory.context import ContextMemory, MemoryItem +from autogpt.memory.vector import MemoryItem, VectorMemory cfg = Config() diff --git a/autogpt/main.py b/autogpt/main.py index 6b49d2bac4e..41c0b58dc51 100644 --- a/autogpt/main.py +++ b/autogpt/main.py @@ -10,7 +10,7 @@ from autogpt.config import Config, check_openai_api_key from autogpt.configurator import create_config from autogpt.logs import logger -from autogpt.memory.context import get_memory +from autogpt.memory.vector import get_memory from autogpt.plugins import scan_plugins from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT, construct_main_ai_config from autogpt.utils import ( diff --git a/autogpt/memory/context/__init__.py b/autogpt/memory/context/__init__.py deleted file mode 100644 index 44df788bb48..00000000000 --- a/autogpt/memory/context/__init__.py +++ /dev/null @@ -1,116 +0,0 @@ -from autogpt.config import Config -from autogpt.logs import logger - -from .memory_item import MemoryItem, MemoryItemRelevance -from .providers import ContextMemoryProvider as ContextMemory -from .providers.json_file import JSONFileMemory -from .providers.no_memory import NoMemory - -# List of supported memory backends -# Add a backend to this list if the import attempt is successful -supported_memory = ["json_file", "no_memory"] - -try: - from .providers.redis import RedisMemory - - supported_memory.append("redis") -except ImportError: - RedisMemory = None - -try: - from .providers.pinecone import PineconeMemory - - supported_memory.append("pinecone") -except ImportError: - PineconeMemory = None - -try: - from .providers.weaviate import WeaviateMemory - - supported_memory.append("weaviate") -except ImportError: - WeaviateMemory = None - -try: - from .providers.milvus import MilvusMemory - - supported_memory.append("milvus") -except ImportError: - MilvusMemory = None - - -def get_memory(cfg: Config, init=False) -> ContextMemory: - memory = None - - match cfg.memory_backend: - case "json_file": - memory = JSONFileMemory(cfg) - - case "pinecone": - if not PineconeMemory: - logger.warn( - "Error: Pinecone is not installed. Please install pinecone" - " to use Pinecone as a memory backend." - ) - else: - memory = PineconeMemory(cfg) - if init: - memory.clear() - - case "redis": - if not RedisMemory: - logger.warn( - "Error: Redis is not installed. Please install redis-py to" - " use Redis as a memory backend." - ) - else: - memory = RedisMemory(cfg) - - case "weaviate": - if not WeaviateMemory: - logger.warn( - "Error: Weaviate is not installed. Please install weaviate-client to" - " use Weaviate as a memory backend." - ) - else: - memory = WeaviateMemory(cfg) - - case "milvus": - if not MilvusMemory: - logger.warn( - "Error: pymilvus sdk is not installed." - "Please install pymilvus to use Milvus or Zilliz Cloud as memory backend." - ) - else: - memory = MilvusMemory(cfg) - - case "no_memory": - memory = NoMemory(cfg) - - case _: - raise ValueError( - f"Unknown memory backend '{cfg.memory_backend}'. Please check your config." - ) - - if memory is None: - memory = JSONFileMemory(cfg) - - return memory - - -def get_supported_memory_backends(): - return supported_memory - - -__all__ = [ - "get_memory", - "MemoryItem", - "MemoryItemRelevance", - "ContextMemory", - "JSONFileMemory", - "NoMemory", - "RedisMemory", - "PineconeMemory", - "MilvusMemory", - "WeaviateMemory", -] diff --git a/autogpt/memory/context/providers/__init__.py b/autogpt/memory/context/providers/__init__.py deleted file mode 100644 index 23c15294f63..00000000000 --- a/autogpt/memory/context/providers/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -from .abstract import ContextMemoryProvider -from .json_file import JSONFileMemory -from .no_memory import NoMemory -from .pinecone import PineconeMemory -from .redis import RedisMemory - -__all__ = [ - "ContextMemoryProvider", - "JSONFileMemory", - "NoMemory", - "PineconeMemory", - "RedisMemory", -] - -# add backends requiring libraries that are not installed by default -try: - from .milvus import MilvusMemory - - __all__.append("MilvusMemory") -except ImportError: - pass - -try: - from .weaviate import WeaviateMemory - - __all__.append("WeaviateMemory") -except ImportError: - pass diff --git a/autogpt/memory/context/providers/milvus.py b/autogpt/memory/context/providers/milvus.py deleted file mode 100644 index 400a9367254..00000000000 --- a/autogpt/memory/context/providers/milvus.py +++ /dev/null @@ -1,163 +0,0 @@ -""" Milvus memory storage provider.""" -import re - -from pymilvus import Collection, CollectionSchema, DataType, FieldSchema, connections - -from autogpt.config import Config -from autogpt.llm import get_ada_embedding - -from .abstract import ContextMemoryProvider - - -class MilvusMemory(ContextMemoryProvider): - """Milvus memory storage provider.""" - - def __init__(self, cfg: Config) -> None: - """Construct a milvus memory storage connection. - - Args: - cfg (Config): Auto-GPT global config. - """ - self.configure(cfg) - - connect_kwargs = {} - if self.username: - connect_kwargs["user"] = self.username - connect_kwargs["password"] = self.password - - connections.connect( - **connect_kwargs, - uri=self.uri or "", - address=self.address or "", - secure=self.secure, - ) - - self.init_collection() - - def configure(self, cfg: Config) -> None: - # init with configuration. - self.uri = None - self.address = cfg.milvus_addr - self.secure = cfg.milvus_secure - self.username = cfg.milvus_username - self.password = cfg.milvus_password - self.collection_name = cfg.milvus_collection - # use HNSW by default. - self.index_params = { - "metric_type": "IP", - "index_type": "HNSW", - "params": {"M": 8, "efConstruction": 64}, - } - - if (self.username is None) != (self.password is None): - raise ValueError( - "Both username and password must be set to use authentication for Milvus" - ) - - # configured address may be a full URL. - if re.match(r"^(https?|tcp)://", self.address) is not None: - self.uri = self.address - self.address = None - - if self.uri.startswith("https"): - self.secure = True - - # Zilliz Cloud requires AutoIndex. - if re.match(r"^https://(.*)\.zillizcloud\.(com|cn)", self.uri) is not None: - self.index_params = { - "metric_type": "IP", - "index_type": "AUTOINDEX", - "params": {}, - } - - def init_collection(self) -> None: - """Initialize collection in vector database.""" - fields = [ - FieldSchema(name="pk", dtype=DataType.INT64, is_primary=True, auto_id=True), - FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=1536), - FieldSchema(name="raw_text", dtype=DataType.VARCHAR, max_length=65535), - ] - - # create collection if not exist and load it. - self.schema = CollectionSchema(fields, "auto-gpt memory storage") - self.collection = Collection(self.collection_name, self.schema) - # create index if not exist. - if not self.collection.has_index(): - self.collection.release() - self.collection.create_index( - "embeddings", - self.index_params, - index_name="embeddings", - ) - self.collection.load() - - def add(self, data) -> str: - """Add an embedding of data into memory. - - Args: - data (str): The raw text to construct embedding index. - - Returns: - str: log. - """ - embedding = get_ada_embedding(data) - result = self.collection.insert([[embedding], [data]]) - _text = ( - "Inserting data into memory at primary key: " - f"{result.primary_keys[0]}:\n data: {data}" - ) - return _text - - def get(self, data): - """Return the most relevant data in memory. - Args: - data: The data to compare to. - """ - return self.get_relevant(data, 1) - - def clear(self) -> str: - """Drop the index in memory. - - Returns: - str: log. - """ - self.collection.drop() - self.collection = Collection(self.collection_name, self.schema) - self.collection.create_index( - "embeddings", - self.index_params, - index_name="embeddings", - ) - self.collection.load() - return "Obliviated" - - def get_relevant(self, data: str, num_relevant: int = 5): - """Return the top-k relevant data in memory. - Args: - data: The data to compare to. - num_relevant (int, optional): The max number of relevant data. - Defaults to 5. - - Returns: - list: The top-k relevant data. - """ - # search the embedding and return the most relevant text. - embedding = get_ada_embedding(data) - search_params = { - "metrics_type": "IP", - "params": {"nprobe": 8}, - } - result = self.collection.search( - [embedding], - "embeddings", - search_params, - num_relevant, - output_fields=["raw_text"], - ) - return [item.entity.value_of_field("raw_text") for item in result[0]] - - def get_stats(self) -> str: - """ - Returns: The stats of the milvus cache. - """ - return f"Entities num: {self.collection.num_entities}" diff --git a/autogpt/memory/context/providers/no_memory.py b/autogpt/memory/context/providers/no_memory.py deleted file mode 100644 index 6b294aa9366..00000000000 --- a/autogpt/memory/context/providers/no_memory.py +++ /dev/null @@ -1,74 +0,0 @@ -"""A class that does not store any data. This is the default memory provider.""" -from __future__ import annotations - -from typing import Any - -from .. import MemoryItem -from .abstract import ContextMemoryProvider - - -class NoMemory(ContextMemoryProvider): - """ - A class that does not store any data. This is the default memory provider. - """ - - def __init__(self, cfg): - """ - Initializes the NoMemory provider. - - Args: - cfg: The config object. - - Returns: None - """ - pass - - def add(self, item: MemoryItem): - """ - Adds a data point to the memory. No action is taken in NoMemory. - - Args: - data: The data to add. - - Returns: An empty string. - """ - return - - def get(self, data: str) -> list[Any] | None: - """ - Gets the data from the memory that is most relevant to the given data. - NoMemory always returns None. - - Args: - data: The data to compare to. - - Returns: None - """ - return None - - def clear(self) -> str: - """ - Clears the memory. No action is taken in NoMemory. - - Returns: An empty string. - """ - return "" - - def get_relevant(self, data: str, num_relevant: int = 5) -> list[Any] | None: - """ - Returns all the data in the memory that is relevant to the given data. - NoMemory always returns None. - - Args: - data: The data to compare to. - num_relevant: The number of relevant data to return. - - Returns: None - """ - return None - - def get_stats(self): - """ - Returns: An empty dictionary as there are no stats in NoMemory. - """ - return {} diff --git a/autogpt/memory/context/providers/pinecone.py b/autogpt/memory/context/providers/pinecone.py deleted file mode 100644 index 64e0be15d2a..00000000000 --- a/autogpt/memory/context/providers/pinecone.py +++ /dev/null @@ -1,79 +0,0 @@ -import pinecone -from colorama import Fore, Style - -from autogpt.logs import logger - -from ..utils import get_embedding -from .abstract import ContextMemoryProvider - - -class PineconeMemory(ContextMemoryProvider): - def __init__(self, cfg): - pinecone_api_key = cfg.pinecone_api_key - pinecone_region = cfg.pinecone_region - pinecone.init(api_key=pinecone_api_key, environment=pinecone_region) - dimension = 1536 - metric = "cosine" - pod_type = "p1" - table_name = "auto-gpt" - # this assumes we don't start with memory. - # for now this works. - # we'll need a more complicated and robust system if we want to start with - # memory. - self.vec_num = 0 - - try: - pinecone.whoami() - except Exception as e: - logger.typewriter_log( - "FAILED TO CONNECT TO PINECONE", - Fore.RED, - Style.BRIGHT + str(e) + Style.RESET_ALL, - ) - logger.double_check( - "Please ensure you have setup and configured Pinecone properly for use." - + f"You can check out {Fore.CYAN + Style.BRIGHT}" - "https://docs.agpt.co/configuration/memory/#pinecone-api-key-setup" - f"{Style.RESET_ALL} to ensure you've set up everything correctly." - ) - exit(1) - - if table_name not in pinecone.list_indexes(): - logger.typewriter_log( - "Connecting Pinecone. This may take some time...", Fore.MAGENTA, "" - ) - pinecone.create_index( - table_name, dimension=dimension, metric=metric, pod_type=pod_type - ) - self.index = pinecone.Index(table_name) - - def add(self, data: str): - vector = get_embedding(data) - # no metadata here. We may wish to change that long term. - self.index.upsert([(str(self.vec_num), vector, {"raw_text": data})]) - _text = f"Inserting data into memory at index: {self.vec_num}:\n data: {data}" - self.vec_num += 1 - return _text - - def get(self, data): - return self.get_relevant(data, 1) - - def clear(self): - self.index.delete(deleteAll=True) - return "Obliviated" - - def get_relevant(self, query: str, num_relevant=5): - """ - Returns all the data in the memory that is relevant to the given query. - :param query: The query to compare to. - :param num_relevant: The number of relevant data to return. Defaults to 5 - """ - query_embedding = get_embedding(query) - results = self.index.query( - query_embedding, top_k=num_relevant, include_metadata=True - ) - sorted_results = sorted(results.matches, key=lambda x: x.score) - return [str(item["metadata"]["raw_text"]) for item in sorted_results] - - def get_stats(self): - return self.index.describe_index_stats() diff --git a/autogpt/memory/context/providers/redis.py b/autogpt/memory/context/providers/redis.py deleted file mode 100644 index 0ad2959abe2..00000000000 --- a/autogpt/memory/context/providers/redis.py +++ /dev/null @@ -1,245 +0,0 @@ -"""Redis memory provider.""" -from __future__ import annotations - -from typing import Any, Iterator - -import redis -from colorama import Fore, Style -from redis.commands.json.commands import JSONCommands -from redis.commands.search.field import TextField, VectorField -from redis.commands.search.indexDefinition import IndexDefinition, IndexType -from redis.commands.search.query import Query - -from autogpt.config import Config -from autogpt.logs import logger -from autogpt.memory.context import MemoryItemRelevance - -from ..memory_item import MemoryItem -from ..utils import Embedding, get_embedding -from .abstract import ContextMemoryProvider - - -class RedisMemory(ContextMemoryProvider): - cfg: Config - - redis: redis.Redis - index_name: str - - id_seq: int - """Last sequential ID in index""" - - @property - def id_seq_key(self): - return f"{self.index_name}-id_seq" - - DIMENSION = 1536 - SCHEMA = [ - TextField("content"), - TextField("summary"), - VectorField( - "embedding", - "HNSW", - {"TYPE": "FLOAT32", "DIM": DIMENSION, "DISTANCE_METRIC": "IP"}, - ), - ] - - def __init__(self, cfg: Config): - """ - Initializes the Redis memory provider. - - Args: - cfg: The config object. - - Returns: None - """ - self.cfg = cfg - - redis_host = cfg.redis_host - redis_port = cfg.redis_port - redis_password = cfg.redis_password - self.redis = redis.Redis( - host=redis_host, - port=redis_port, - password=redis_password, - db=0, # Cannot be changed - decode_responses=True, - ) - self.index_name = cfg.memory_index - - # Check redis connection - try: - self.redis.ping() - except redis.ConnectionError as e: - logger.typewriter_log( - "FAILED TO CONNECT TO REDIS", - Fore.RED, - Style.BRIGHT + str(e) + Style.RESET_ALL, - ) - logger.double_check( - "Please ensure you have setup and configured Redis properly for use. " - + f"You can check out {Fore.CYAN + Style.BRIGHT}" - f"https://docs.agpt.co/configuration/memory/#redis-setup{Style.RESET_ALL}" - " to ensure you've set up everything correctly." - ) - exit(1) - - if cfg.wipe_redis_on_start: - self.clear() - try: - self.redis.ft(self.index_name).create_index( - fields=self.SCHEMA, - definition=IndexDefinition( - prefix=[f"{self.index_name}:"], index_type=IndexType.HASH - ), - ) - except Exception as e: - logger.warn(f"Error creating Redis search index: {e}") - - stored_id_seq: str | None = self.redis.get(self.id_seq_key) - self.id_seq = int(stored_id_seq) if stored_id_seq else 0 - - def __iter__(self) -> Iterator[MemoryItem]: - for hkey in self.redis.keys(f"{self.index_name}:*[0-9]_header"): - meta = self.redis.hget(hkey, "metadata") - memory = self._retrieve(meta["memory_id"]) - if not memory: - continue - yield memory - - def __contains__(self, x: MemoryItem) -> bool: - return bool(self._find(x)) - - def __len__(self) -> int: - return len(self.redis.keys(f"{self.index_name}:*[0-9]_header")) - - def add(self, item: MemoryItem): - id = self._increment_id_seq() - self._set( - f"{id}_header", - item.raw_content, - item.summary, - item.e_summary, - item.metadata | {"memory_id": id}, - ) - - for j, chunk in enumerate(item.chunks): - self._set( - f"{id}_chunk-{j}", - chunk, - item.chunk_summaries[j], - item.e_chunks[j], - {"memory_id": id, "chunk_pos": j}, - ) - - def _set( - self, - key: str, - content: str, - summary: str, - embedding: Embedding, - metadata: dict[str, Any] | None = None, - ): - data_dict = { - "content": content, - "summary": summary, - "embedding": embedding.tobytes(), - "metadata": metadata, - } - - self.redis.hset(f"{self.index_name}:{key}", mapping=data_dict) - logger.debug( - f"Inserting item into Redis collection at key '{key}':\n" - f"summary: {summary}\n" - f"metadata: {metadata}\n" - f"content: {content}" - ) - - def _retrieve(self, id: int) -> MemoryItem | None: - hkey = f"{self.index_name}:{id}_header" - if not self.redis.exists(hkey): - return None - - header = self.redis.hgetall(hkey) - chunks = [] - for ckey in self.redis.keys(f"{self.index_name}:{id}_chunk-*[0-9]"): - chunks.append(self.redis.hgetall(ckey)) - - return MemoryItem( - raw_content=header["content"], - summary=header["summary"], - metadata=header["metadata"], - e_summary=header["embedding"], - e_chunks=[c["embedding"] for c in chunks], - chunks=[c["content"] for c in chunks], - chunk_summaries=[c["summary"] for c in chunks], - ) - - def _find(self, item: MemoryItem) -> MemoryItem | None: - results = self.redis.ft(self.index_name).search( - Query("@content:$content").return_field("metadata"), - {"content": item.raw_content}, - ) - if not results.docs: - return None - return self._retrieve(results.docs[0]["metadata"]["memory_id"]) - - def _increment_id_seq(self): - self.id_seq = self.redis.incrby(self.id_seq_key) - return self.id_seq - - def get_relevant(self, query: str, k: int) -> list[MemoryItemRelevance]: - v_query = get_embedding(query).tobytes() - - base_search_query = f"*=>[KNN @embedding $v_query AS relevance_score]" - search_query = ( - Query(base_search_query) - .return_fields("metadata", "relevance_score") - .sort_by("relevance_score") - .dialect(2) - ) - - try: - search_result = self.redis.ft(self.index_name).search( - search_query, query_params={"v_query": v_query} - ) - except Exception as e: - logger.warn(f"Error calling Redis search: {e}") - return [] - - results: list[MemoryItemRelevance] = [] - result_ids: list[int] = [] - for r in search_result.docs: - id = r["metadata"]["memory_id"] - if id in result_ids: - continue - - pieces = filter( - lambda d: d["metadata"]["memory_id"] == id, search_result.docs - ) - header = next(filter(lambda p: "chunk_pos" not in p["metadata"], pieces)) - chunks = list(filter(lambda p: "chunk_pos" in p["metadata"], pieces)) - chunks.sort(key=lambda c: c["metadata"]["chunk_pos"]) - results.append( - MemoryItemRelevance( - memory_item=self._retrieve(id), - for_query=query, - summary_relevance_score=header["relevance_score"], - chunk_relevance_scores=[cr["relevance_score"] for cr in chunks], - ) - ) - result_ids.append(id) - - if len(results) == k: - break - return results - - def discard(self, item: MemoryItem): - if not item.metadata["memory_id"]: - item = self._find(item) - if item: - id = item.metadata["memory_id"] - self.redis.delete(self.redis.keys(f"{self.index_name}:{id}_[hc][eh][au][dn][ek]?*")) - - def clear(self) -> None: - """Clears the Redis database.""" - self.redis.flushdb() diff --git a/autogpt/memory/context/providers/weaviate.py b/autogpt/memory/context/providers/weaviate.py deleted file mode 100644 index 132a1173b9d..00000000000 --- a/autogpt/memory/context/providers/weaviate.py +++ /dev/null @@ -1,128 +0,0 @@ -import weaviate -from weaviate import Client -from weaviate.embedded import EmbeddedOptions -from weaviate.util import generate_uuid5 - -from autogpt.llm import get_ada_embedding -from autogpt.logs import logger - -from .abstract import ContextMemoryProvider - - -def default_schema(weaviate_index): - return { - "class": weaviate_index, - "properties": [ - { - "name": "raw_text", - "dataType": ["text"], - "description": "original text for the embedding", - } - ], - } - - -class WeaviateMemory(ContextMemoryProvider): - def __init__(self, cfg): - auth_credentials = self._build_auth_credentials(cfg) - - url = f"{cfg.weaviate_protocol}://{cfg.weaviate_host}:{cfg.weaviate_port}" - - if cfg.use_weaviate_embedded: - self.client = Client( - embedded_options=EmbeddedOptions( - hostname=cfg.weaviate_host, - port=int(cfg.weaviate_port), - persistence_data_path=cfg.weaviate_embedded_path, - ) - ) - - logger.info( - f"Weaviate Embedded running on: {url} with persistence path: {cfg.weaviate_embedded_path}" - ) - else: - self.client = Client(url, auth_client_secret=auth_credentials) - - self.index = WeaviateMemory.format_classname(cfg.memory_index) - self._create_schema() - - @staticmethod - def format_classname(index): - # weaviate uses capitalised index names - # The python client uses the following code to format - # index names before the corresponding class is created - index = index.replace("-", "_") - if len(index) == 1: - return index.capitalize() - return index[0].capitalize() + index[1:] - - def _create_schema(self): - schema = default_schema(self.index) - if not self.client.schema.contains(schema): - self.client.schema.create_class(schema) - - def _build_auth_credentials(self, cfg): - if cfg.weaviate_username and cfg.weaviate_password: - return weaviate.AuthClientPassword( - cfg.weaviate_username, cfg.weaviate_password - ) - if cfg.weaviate_api_key: - return weaviate.AuthApiKey(api_key=cfg.weaviate_api_key) - else: - return None - - def add(self, data): - vector = get_ada_embedding(data) - - doc_uuid = generate_uuid5(data, self.index) - data_object = {"raw_text": data} - - with self.client.batch as batch: - batch.add_data_object( - uuid=doc_uuid, - data_object=data_object, - class_name=self.index, - vector=vector, - ) - - return f"Inserting data into memory at uuid: {doc_uuid}:\n data: {data}" - - def get(self, data): - return self.get_relevant(data, 1) - - def clear(self): - self.client.schema.delete_all() - - # weaviate does not yet have a neat way to just remove the items in an index - # without removing the entire schema, therefore we need to re-create it - # after a call to delete_all - self._create_schema() - - return "Obliterated" - - def get_relevant(self, data, num_relevant=5): - query_embedding = get_ada_embedding(data) - try: - results = ( - self.client.query.get(self.index, ["raw_text"]) - .with_near_vector({"vector": query_embedding, "certainty": 0.7}) - .with_limit(num_relevant) - .do() - ) - - if len(results["data"]["Get"][self.index]) > 0: - return [ - str(item["raw_text"]) for item in results["data"]["Get"][self.index] - ] - else: - return [] - - except Exception as err: - logger.warn(f"Unexpected error {err=}, {type(err)=}") - return [] - - def get_stats(self): - result = self.client.query.aggregate(self.index).with_meta_count().do() - class_data = result["data"]["Aggregate"][self.index] - - return class_data[0]["meta"] if class_data else {} diff --git a/autogpt/memory/history.py b/autogpt/memory/history.py index 519f33614b1..0a12a06d323 100644 --- a/autogpt/memory/history.py +++ b/autogpt/memory/history.py @@ -4,7 +4,7 @@ import json from typing import TYPE_CHECKING -from autogpt.memory.context.memory_item import MemoryItem +from autogpt.memory.vector.memory_item import MemoryItem if TYPE_CHECKING: from autogpt.agent import Agent @@ -18,7 +18,7 @@ from autogpt.llm.llm_utils import create_chat_completion from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME from autogpt.logs import logger -from autogpt.memory.context import ContextMemory +from autogpt.memory.vector import VectorMemory class MessageHistory(list[Message]): @@ -77,7 +77,7 @@ def trim_messages( def archive( self, up_to_index: int, - permanent_memory: ContextMemory, + permanent_memory: VectorMemory, ): """Saves messages up to the given index to permanent memory""" diff --git a/autogpt/memory/vector/__init__.py b/autogpt/memory/vector/__init__.py new file mode 100644 index 00000000000..c4085d111d3 --- /dev/null +++ b/autogpt/memory/vector/__init__.py @@ -0,0 +1,138 @@ +from autogpt.config import Config +from autogpt.logs import logger + +from .memory_item import MemoryItem, MemoryItemRelevance +from .providers.base import VectorMemoryProvider as VectorMemory +from .providers.json_file import JSONFileMemory +from .providers.no_memory import NoMemory + +# List of supported memory backends +# Add a backend to this list if the import attempt is successful +supported_memory = ["json_file", "no_memory"] + +# try: +# from .providers.redis import RedisMemory + +# supported_memory.append("redis") +# except ImportError: +# RedisMemory = None + +# try: +# from .providers.pinecone import PineconeMemory + +# supported_memory.append("pinecone") +# except ImportError: +# PineconeMemory = None + +# try: +# from .providers.weaviate import WeaviateMemory + +# supported_memory.append("weaviate") +# except ImportError: +# WeaviateMemory = None + +# try: +# from .providers.milvus import MilvusMemory + +# supported_memory.append("milvus") +# except ImportError: +# MilvusMemory = None + + +def get_memory(cfg: Config, init=False) -> VectorMemory: + memory = None + + match cfg.memory_backend: + case "json_file": + memory = JSONFileMemory(cfg) + + case "pinecone": + raise NotImplementedError( + "The Pinecone memory backend has been rendered incompatible by work on " + "the memory system, and was removed. Whether support will be added back " + "in the future is subject to discussion, feel free to pitch in: " + "https://github.com/Significant-Gravitas/Auto-GPT/discussions/4280" + ) + # if not PineconeMemory: + # logger.warn( + # "Error: Pinecone is not installed. Please install pinecone" + # " to use Pinecone as a memory backend." + # ) + # else: + # memory = PineconeMemory(cfg) + # if init: + # memory.clear() + + case "redis": + raise NotImplementedError( + "The Redis memory backend has been rendered incompatible by work on " + "the memory system, and has been removed temporarily." + ) + # if not RedisMemory: + # logger.warn( + # "Error: Redis is not installed. Please install redis-py to" + # " use Redis as a memory backend." + # ) + # else: + # memory = RedisMemory(cfg) + + case "weaviate": + raise NotImplementedError( + "The Weaviate memory backend has been rendered incompatible by work on " + "the memory system, and was removed. Whether support will be added back " + "in the future is subject to discussion, feel free to pitch in: " + "https://github.com/Significant-Gravitas/Auto-GPT/discussions/4280" + ) + # if not WeaviateMemory: + # logger.warn( + # "Error: Weaviate is not installed. Please install weaviate-client to" + # " use Weaviate as a memory backend." + # ) + # else: + # memory = WeaviateMemory(cfg) + + case "milvus": + raise NotImplementedError( + "The Milvus memory backend has been rendered incompatible by work on " + "the memory system, and was removed. Whether support will be added back " + "in the future is subject to discussion, feel free to pitch in: " + "https://github.com/Significant-Gravitas/Auto-GPT/discussions/4280" + ) + # if not MilvusMemory: + # logger.warn( + # "Error: pymilvus sdk is not installed." + # "Please install pymilvus to use Milvus or Zilliz Cloud as memory backend." + # ) + # else: + # memory = MilvusMemory(cfg) + + case "no_memory": + memory = NoMemory(cfg) + + case _: + raise ValueError( + f"Unknown memory backend '{cfg.memory_backend}'. Please check your config." + ) + + if memory is None: + memory = JSONFileMemory(cfg) + + return memory + + +def get_supported_memory_backends(): + return supported_memory + + +__all__ = [ + "get_memory", + "MemoryItem", + "MemoryItemRelevance", + "JSONFileMemory", + "NoMemory", + "VectorMemory", + # "RedisMemory", + # "PineconeMemory", + # "MilvusMemory", + # "WeaviateMemory", +] diff --git a/autogpt/memory/context/memory_item.py b/autogpt/memory/vector/memory_item.py similarity index 100% rename from autogpt/memory/context/memory_item.py rename to autogpt/memory/vector/memory_item.py diff --git a/autogpt/memory/vector/providers/__init__.py b/autogpt/memory/vector/providers/__init__.py new file mode 100644 index 00000000000..12a23b6000b --- /dev/null +++ b/autogpt/memory/vector/providers/__init__.py @@ -0,0 +1,7 @@ +from .json_file import JSONFileMemory +from .no_memory import NoMemory + +__all__ = [ + "JSONFileMemory", + "NoMemory", +] diff --git a/autogpt/memory/context/providers/abstract.py b/autogpt/memory/vector/providers/base.py similarity index 91% rename from autogpt/memory/context/providers/abstract.py rename to autogpt/memory/vector/providers/base.py index 5029c717fb2..fd895f386a8 100644 --- a/autogpt/memory/context/providers/abstract.py +++ b/autogpt/memory/vector/providers/base.py @@ -4,12 +4,13 @@ import numpy as np from autogpt.logs import logger -from autogpt.memory.context import MemoryItem, MemoryItemRelevance -from autogpt.memory.context.utils import Embedding, get_embedding from autogpt.singleton import AbstractSingleton +from .. import MemoryItem, MemoryItemRelevance +from ..utils import Embedding, get_embedding -class ContextMemoryProvider(MutableSet[MemoryItem], AbstractSingleton): + +class VectorMemoryProvider(MutableSet[MemoryItem], AbstractSingleton): def get(self, query: str) -> MemoryItemRelevance | None: """ Gets the data from the memory that is most relevant to the given query. diff --git a/autogpt/memory/context/providers/json_file.py b/autogpt/memory/vector/providers/json_file.py similarity index 92% rename from autogpt/memory/context/providers/json_file.py rename to autogpt/memory/vector/providers/json_file.py index d69c541b64b..46446a9c523 100644 --- a/autogpt/memory/context/providers/json_file.py +++ b/autogpt/memory/vector/providers/json_file.py @@ -7,13 +7,12 @@ from autogpt.config import Config from autogpt.logs import logger -from autogpt.memory.context.memory_item import MemoryItem from ..memory_item import MemoryItem -from .abstract import ContextMemoryProvider +from .base import VectorMemoryProvider -class JSONFileMemory(ContextMemoryProvider): +class JSONFileMemory(VectorMemoryProvider): """Memory backend that stores memories in a JSON file""" SAVE_OPTIONS = orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_SERIALIZE_DATACLASS diff --git a/autogpt/memory/vector/providers/no_memory.py b/autogpt/memory/vector/providers/no_memory.py new file mode 100644 index 00000000000..2f8c02edde3 --- /dev/null +++ b/autogpt/memory/vector/providers/no_memory.py @@ -0,0 +1,31 @@ +"""A class that does not store any data. This is the default memory provider.""" +from __future__ import annotations + +from typing import Any, Iterator, Sequence + +from .. import MemoryItem +from .base import VectorMemoryProvider + + +class NoMemory(VectorMemoryProvider): + """ + A class that does not store any data. This is the default memory provider. + """ + + def __iter__(self) -> Iterator[MemoryItem]: + return iter([]) + + def __contains__(self, x: MemoryItem) -> bool: + return False + + def __len__(self) -> int: + return 0 + + def add(self, item: MemoryItem): + pass + + def discard(self, item: MemoryItem): + pass + + def clear(self): + pass diff --git a/autogpt/memory/context/utils.py b/autogpt/memory/vector/utils.py similarity index 100% rename from autogpt/memory/context/utils.py rename to autogpt/memory/vector/utils.py diff --git a/data_ingestion.py b/data_ingestion.py index ef55d704c29..e2d98d1c5b5 100644 --- a/data_ingestion.py +++ b/data_ingestion.py @@ -3,7 +3,7 @@ from autogpt.commands.file_operations import ingest_file, list_files from autogpt.config import Config -from autogpt.memory.context import ContextMemory, get_memory +from autogpt.memory.vector import VectorMemory, get_memory cfg = Config() @@ -21,7 +21,7 @@ def configure_logging(): return logging.getLogger("AutoGPT-Ingestion") -def ingest_directory(directory: str, memory: ContextMemory, args): +def ingest_directory(directory: str, memory: VectorMemory, args): """ Ingest all files in a directory by calling the ingest_file function for each file. diff --git a/requirements.txt b/requirements.txt index d68b14042c1..c59b8bb632b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -24,7 +24,6 @@ click charset-normalizer>=3.1.0 spacy>=3.0.0,<4.0.0 en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl -lmql >=0.0.6.1,<0.1.0.0 ##Dev coverage diff --git a/tests/integration/agent_factory.py b/tests/integration/agent_factory.py index 187ffe1cd10..5d1f7a9bf75 100644 --- a/tests/integration/agent_factory.py +++ b/tests/integration/agent_factory.py @@ -3,7 +3,7 @@ from autogpt.agent import Agent from autogpt.commands.command import CommandRegistry from autogpt.config import AIConfig, Config -from autogpt.memory.context import NoMemory, get_memory +from autogpt.memory.vector import NoMemory, get_memory from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT from autogpt.workspace import Workspace diff --git a/tests/integration/memory/conftest.py b/tests/integration/memory/conftest.py index 1f9ffdfece5..2143172f639 100644 --- a/tests/integration/memory/conftest.py +++ b/tests/integration/memory/conftest.py @@ -2,9 +2,9 @@ import pytest from pytest_mock import MockerFixture -import autogpt.memory.context.utils as memory_utils -from autogpt.memory.context.memory_item import MemoryItem -from autogpt.memory.context.utils import Embedding +import autogpt.memory.vector.utils as memory_utils +from autogpt.memory.vector.memory_item import MemoryItem +from autogpt.memory.vector.utils import Embedding EMBED_DIM = 1536 diff --git a/tests/integration/memory/milvus_memory_tests.py b/tests/integration/memory/milvus_memory_tests.py deleted file mode 100644 index 97a590e191d..00000000000 --- a/tests/integration/memory/milvus_memory_tests.py +++ /dev/null @@ -1,55 +0,0 @@ -# sourcery skip: snake-case-functions -"""Tests for the MilvusMemory class.""" -import random -import string -import unittest - -from autogpt.config import Config -from autogpt.memory.context import MilvusMemory - -try: - - class TestMilvusMemory(unittest.TestCase): - """Unit tests for the MilvusMemory class.""" - - def generate_random_string(self, length: int) -> str: - return "".join(random.choice(string.ascii_letters) for _ in range(length)) - - def setUp(self) -> None: - cfg = Config() - cfg.milvus_addr = "localhost:19530" - self.memory = MilvusMemory(cfg) - self.memory.clear() - - # Add example texts to the cache - self.example_texts = [ - "The quick brown fox jumps over the lazy dog", - "I love machine learning and natural language processing", - "The cake is a lie, but the pie is always true", - "ChatGPT is an advanced AI model for conversation", - ] - - for text in self.example_texts: - self.memory.add(text) - - # Add some random strings to test noise - for _ in range(5): - self.memory.add(self.generate_random_string(10)) - - def test_get_relevant(self) -> None: - """Test getting relevant texts from the cache.""" - query = "I'm interested in artificial intelligence and NLP" - num_relevant = 3 - relevant_texts = self.memory.get_relevant(query, num_relevant) - - print(f"Top {k} relevant texts for the query '{query}':") - for i, text in enumerate(relevant_texts, start=1): - print(f"{i}. {text}") - - self.assertEqual(len(relevant_texts), k) - self.assertIn(self.example_texts[1], relevant_texts) - -except: - print( - "Skipping tests/integration/milvus_memory_tests.py as Milvus is not installed." - ) diff --git a/tests/integration/memory/test_json_file_memory.py b/tests/integration/memory/test_json_file_memory.py index 063cd60a574..3afd1e71468 100644 --- a/tests/integration/memory/test_json_file_memory.py +++ b/tests/integration/memory/test_json_file_memory.py @@ -4,7 +4,7 @@ import pytest from autogpt.config import Config -from autogpt.memory.context import JSONFileMemory, MemoryItem +from autogpt.memory.vector import JSONFileMemory, MemoryItem from autogpt.workspace import Workspace from tests.utils import requires_api_key diff --git a/tests/integration/memory/test_redis_memory.py b/tests/integration/memory/test_redis_memory.py deleted file mode 100644 index 08daa3349aa..00000000000 --- a/tests/integration/memory/test_redis_memory.py +++ /dev/null @@ -1,70 +0,0 @@ -# sourcery skip: snake-case-functions -"""Tests for RedisMemory class""" -import pytest - -from autogpt.config import Config -from autogpt.memory.context import MemoryItem, RedisMemory -from tests.utils import requires_api_key - - -@pytest.fixture(autouse=True) -def cleanup_sut_singleton(): - if RedisMemory in RedisMemory._instances: - del RedisMemory._instances[RedisMemory] - - -def test_redis_memory_add(config: Config, memory_item: MemoryItem): - index = RedisMemory(config) - index.add(memory_item) - assert memory_item in index - - -def test_redis_memory_clear(config: Config, memory_item: MemoryItem): - index = RedisMemory(config) - assert len(index) == 0 - - index.add(memory_item) - assert len(index) == 1, "Cannot test clear() because add() fails" - - index.clear() - assert len(index) == 0 - - -def test_redis_memory_get(config: Config, memory_item: MemoryItem, mock_get_embedding): - index = RedisMemory(config) - assert ( - index.get("test") == None - ), "Cannot test get() because initial index is not empty" - - index.add(memory_item) - retrieved = index.get("test") - assert retrieved is not None - assert retrieved.memory_item == memory_item - - -@pytest.mark.vcr -@requires_api_key("OPENAI_API_KEY") -def test_redis_memory_get_relevant(config: Config) -> None: - index = RedisMemory(config) - mem1 = MemoryItem.from_text_file("Sample text", "sample.txt") - mem2 = MemoryItem.from_text_file("Grocery list:\n- Pancake mix", "groceries.txt") - mem3 = MemoryItem.from_text_file("What is your favorite color?", "color.txt") - lipsum = "Lorem ipsum dolor sit amet" - mem4 = MemoryItem.from_text_file(" ".join([lipsum] * 100), "lipsum.txt") - index.add(mem1) - index.add(mem2) - index.add(mem3) - index.add(mem4) - - assert index.get_relevant(mem1.raw_content, 1)[0].memory_item == mem1 - assert index.get_relevant(mem2.raw_content, 1)[0].memory_item == mem2 - assert index.get_relevant(mem3.raw_content, 1)[0].memory_item == mem3 - assert [mr.memory_item for mr in index.get_relevant(lipsum, 2)] == [mem4, mem1] - - -def test_redis_memory_get_stats(config: Config, memory_item: MemoryItem) -> None: - index = RedisMemory(config) - index.add(memory_item) - n_memories, n_chunks = index.get_stats() - assert n_memories == 1 - assert n_chunks == 1 diff --git a/tests/integration/memory/weaviate_memory_tests.py b/tests/integration/memory/weaviate_memory_tests.py deleted file mode 100644 index 73e7995f529..00000000000 --- a/tests/integration/memory/weaviate_memory_tests.py +++ /dev/null @@ -1,120 +0,0 @@ -import unittest -from uuid import uuid4 - -from weaviate import Client -from weaviate.util import get_valid_uuid - -from autogpt.config import Config -from autogpt.llm import get_ada_embedding -from autogpt.memory.context import WeaviateMemory - - -class TestWeaviateMemory(unittest.TestCase): - cfg = None - client = None - index = None - - @classmethod - def setUpClass(cls): - """Set up the test environment for the WeaviateMemory tests.""" - # only create the connection to weaviate once - cls.cfg = Config() - - if cls.cfg.use_weaviate_embedded: - from weaviate.embedded import EmbeddedOptions - - cls.client = Client( - embedded_options=EmbeddedOptions( - hostname=cls.cfg.weaviate_host, - port=int(cls.cfg.weaviate_port), - persistence_data_path=cls.cfg.weaviate_embedded_path, - ) - ) - else: - cls.client = Client( - f"{cls.cfg.weaviate_protocol}://{cls.cfg.weaviate_host}:{self.cfg.weaviate_port}" - ) - - cls.index = WeaviateMemory.format_classname(cls.cfg.memory_index) - - """ - In order to run these tests you will need a local instance of - Weaviate running. Refer to https://weaviate.io/developers/weaviate/installation/docker-compose - for creating local instances using docker. - Alternatively in your .env file set the following environmental variables to run Weaviate embedded (see: https://weaviate.io/developers/weaviate/installation/embedded): - - USE_WEAVIATE_EMBEDDED=True - WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate" - """ - - def setUp(self): - """Set up the test environment for the WeaviateMemory tests.""" - try: - self.client.schema.delete_class(self.index) - except: - pass - - self.memory = WeaviateMemory(self.cfg) - - def test_add(self): - """Test adding a text to the cache""" - doc = "You are a Titan name Thanos and you are looking for the Infinity Stones" - self.memory.add(doc) - result = self.client.query.get(self.index, ["raw_text"]).do() - actual = result["data"]["Get"][self.index] - - self.assertEqual(len(actual), 1) - self.assertEqual(actual[0]["raw_text"], doc) - - def test_get(self): - """Test getting a text from the cache""" - doc = "You are an Avenger and swore to defend the Galaxy from a menace called Thanos" - # add the document to the cache - with self.client.batch as batch: - batch.add_data_object( - uuid=get_valid_uuid(uuid4()), - data_object={"raw_text": doc}, - class_name=self.index, - vector=get_ada_embedding(doc), - ) - - batch.flush() - - actual = self.memory.get(doc) - - self.assertEqual(len(actual), 1) - self.assertEqual(actual[0], doc) - - def test_get_stats(self): - """Test getting the stats of the cache""" - docs = [ - "You are now about to count the number of docs in this index", - "And then you about to find out if you can count correctly", - ] - - [self.memory.add(doc) for doc in docs] - - stats = self.memory.get_stats() - - self.assertTrue(stats) - self.assertTrue("count" in stats) - self.assertEqual(stats["count"], 2) - - def test_clear(self): - """Test clearing the cache""" - docs = [ - "Shame this is the last test for this class", - "Testing is fun when someone else is doing it", - ] - - [self.memory.add(doc) for doc in docs] - - self.assertEqual(self.memory.get_stats()["count"], 2) - - self.memory.clear() - - self.assertEqual(self.memory.get_stats()["count"], 0) - - -if __name__ == "__main__": - unittest.main() diff --git a/tests/milvus_memory_test.py b/tests/milvus_memory_test.py deleted file mode 100644 index fbeeedefb00..00000000000 --- a/tests/milvus_memory_test.py +++ /dev/null @@ -1,72 +0,0 @@ -# sourcery skip: snake-case-functions -"""Tests for the MilvusMemory class.""" -import os -import sys -import unittest - -try: - from autogpt.config import Config - from autogpt.memory.providers import MilvusMemory - - def mock_config() -> Config: - """Mock the config object for testing purposes.""" - - # Return a mock config object with the required attributes - class MockConfig(Config): - debug_mode = False - continuous_mode = False - speak_mode = False - milvus_collection = "autogpt" - milvus_addr = "localhost:19530" - - return MockConfig() - - class TestMilvusMemory(unittest.TestCase): - """Tests for the MilvusMemory class.""" - - def setUp(self) -> None: - """Set up the test environment""" - self.cfg = mock_config() - self.memory = MilvusMemory(self.cfg) - - def test_add(self) -> None: - """Test adding a text to the cache""" - text = "Sample text" - self.memory.clear() - self.memory.add(text) - result = self.memory.get(text) - self.assertEqual([text], result) - - def test_clear(self) -> None: - """Test clearing the cache""" - self.memory.clear() - self.assertEqual(self.memory.collection.num_entities, 0) - - def test_get(self) -> None: - """Test getting a text from the cache""" - text = "Sample text" - self.memory.clear() - self.memory.add(text) - result = self.memory.get(text) - self.assertEqual(result, [text]) - - def test_get_relevant(self) -> None: - """Test getting relevant texts from the cache""" - text1 = "Sample text 1" - text2 = "Sample text 2" - self.memory.clear() - self.memory.add(text1) - self.memory.add(text2) - result = self.memory.get_relevant(text1, 1) - self.assertEqual(result, [text1]) - - def test_get_stats(self) -> None: - """Test getting the cache stats""" - text = "Sample text" - self.memory.clear() - self.memory.add(text) - stats = self.memory.get_stats() - self.assertEqual(15, len(stats)) - -except ImportError as err: - print(f"Skipping tests for MilvusMemory: {err}") From 24b9a653d72ac4914c9777a448b78d91028a6759 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 16:24:04 +0200 Subject: [PATCH 24/54] Fix mypy complaints --- .../challenges/basic_abilities/test_browse_website.py | 2 +- tests/integration/challenges/basic_abilities/test_write_file.py | 2 +- .../test_information_retrieval_challenge_a.py | 2 +- tests/integration/challenges/memory/test_memory_challenge_a.py | 2 +- tests/integration/challenges/memory/test_memory_challenge_b.py | 2 +- tests/integration/challenges/memory/test_memory_challenge_c.py | 2 +- 6 files changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/integration/challenges/basic_abilities/test_browse_website.py b/tests/integration/challenges/basic_abilities/test_browse_website.py index 94d172e7e13..4befb059a16 100644 --- a/tests/integration/challenges/basic_abilities/test_browse_website.py +++ b/tests/integration/challenges/basic_abilities/test_browse_website.py @@ -11,7 +11,7 @@ @pytest.mark.vcr def test_browse_website( browser_agent: Agent, - patched_api_requestor, + patched_api_requestor: None, monkeypatch: pytest.MonkeyPatch, ) -> None: file_path = browser_agent.workspace.get_path("browse_website.txt") diff --git a/tests/integration/challenges/basic_abilities/test_write_file.py b/tests/integration/challenges/basic_abilities/test_write_file.py index 13ccbb81dee..1b0198c79d6 100644 --- a/tests/integration/challenges/basic_abilities/test_write_file.py +++ b/tests/integration/challenges/basic_abilities/test_write_file.py @@ -12,7 +12,7 @@ @pytest.mark.vcr def test_write_file( writer_agent: Agent, - patched_api_requestor, + patched_api_requestor: None, monkeypatch: pytest.MonkeyPatch, ) -> None: file_path = str(writer_agent.workspace.get_path("hello_world.txt")) diff --git a/tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py b/tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py index 8bb9b5fd2f4..e527507193e 100644 --- a/tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py +++ b/tests/integration/challenges/information_retrieval/test_information_retrieval_challenge_a.py @@ -15,7 +15,7 @@ def test_information_retrieval_challenge_a( get_company_revenue_agent: Agent, monkeypatch: pytest.MonkeyPatch, - patched_api_requestor, + patched_api_requestor: None, ) -> None: """ Test the challenge_a function in a given agent by mocking user inputs and checking the output file content. diff --git a/tests/integration/challenges/memory/test_memory_challenge_a.py b/tests/integration/challenges/memory/test_memory_challenge_a.py index ad6d8e4283c..1b1bcfe09a9 100644 --- a/tests/integration/challenges/memory/test_memory_challenge_a.py +++ b/tests/integration/challenges/memory/test_memory_challenge_a.py @@ -14,7 +14,7 @@ def test_memory_challenge_a( memory_management_agent: Agent, user_selected_level: int, - patched_api_requestor, + patched_api_requestor: None, monkeypatch: pytest.MonkeyPatch, ) -> None: """ diff --git a/tests/integration/challenges/memory/test_memory_challenge_b.py b/tests/integration/challenges/memory/test_memory_challenge_b.py index 0574e5b593c..f05c1cfcffc 100644 --- a/tests/integration/challenges/memory/test_memory_challenge_b.py +++ b/tests/integration/challenges/memory/test_memory_challenge_b.py @@ -19,7 +19,7 @@ def test_memory_challenge_b( memory_management_agent: Agent, user_selected_level: int, - patched_api_requestor, + patched_api_requestor: None, monkeypatch: pytest.MonkeyPatch, ) -> None: """ diff --git a/tests/integration/challenges/memory/test_memory_challenge_c.py b/tests/integration/challenges/memory/test_memory_challenge_c.py index 757132b0fc3..f6afad972c6 100644 --- a/tests/integration/challenges/memory/test_memory_challenge_c.py +++ b/tests/integration/challenges/memory/test_memory_challenge_c.py @@ -19,7 +19,7 @@ def test_memory_challenge_c( memory_management_agent: Agent, user_selected_level: int, - patched_api_requestor, + patched_api_requestor: None, monkeypatch: pytest.MonkeyPatch, ) -> None: """ From 2f7e920e258ca7c30a487dcb04c2ac7896df4f63 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 16:34:32 +0200 Subject: [PATCH 25/54] Fix `NoMemory.__init__()` --- autogpt/memory/vector/__init__.py | 2 +- autogpt/memory/vector/providers/no_memory.py | 7 ++++++- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/autogpt/memory/vector/__init__.py b/autogpt/memory/vector/__init__.py index c4085d111d3..aaaf83fb532 100644 --- a/autogpt/memory/vector/__init__.py +++ b/autogpt/memory/vector/__init__.py @@ -107,7 +107,7 @@ def get_memory(cfg: Config, init=False) -> VectorMemory: # memory = MilvusMemory(cfg) case "no_memory": - memory = NoMemory(cfg) + memory = NoMemory() case _: raise ValueError( diff --git a/autogpt/memory/vector/providers/no_memory.py b/autogpt/memory/vector/providers/no_memory.py index 2f8c02edde3..01f6c18014e 100644 --- a/autogpt/memory/vector/providers/no_memory.py +++ b/autogpt/memory/vector/providers/no_memory.py @@ -1,7 +1,9 @@ """A class that does not store any data. This is the default memory provider.""" from __future__ import annotations -from typing import Any, Iterator, Sequence +from typing import Iterator, Optional + +from autogpt.config.config import Config from .. import MemoryItem from .base import VectorMemoryProvider @@ -12,6 +14,9 @@ class NoMemory(VectorMemoryProvider): A class that does not store any data. This is the default memory provider. """ + def __init__(self, config: Optional[Config] = None): + pass + def __iter__(self) -> Iterator[MemoryItem]: return iter([]) From f550aec65e735f5ae9521bc51ffce8c5d69448cd Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 21:09:39 +0200 Subject: [PATCH 26/54] Fix `summarize_text()` using configured fast LLM --- autogpt/llm/base.py | 46 +- autogpt/llm/providers/openai.py | 89 +- autogpt/processing/text.py | 45 +- .../test_json_memory_get_relevant.yaml | 2359 ---------------- .../test_local_cache/test_get_relevant.yaml | 997 ------- ...ve_memory_trimmed_from_context_window.yaml | 843 ------ .../test_browse_website.yaml | 823 ++++++ .../test_write_file/test_write_file.yaml | 538 ++++ .../test_memory_challenge_a.yaml | 2385 +++++++++++++++++ .../test_json_memory_get_relevant.yaml | 2324 ++++++++-------- 10 files changed, 5031 insertions(+), 5418 deletions(-) delete mode 100644 tests/integration/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml delete mode 100644 tests/integration/cassettes/test_local_cache/test_get_relevant.yaml delete mode 100644 tests/integration/cassettes/test_memory_management/test_save_memory_trimmed_from_context_window.yaml diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index 88041e71e88..742fa2ebcb1 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -1,11 +1,12 @@ from dataclasses import dataclass, field -from typing import List, TypedDict +from math import ceil, floor +from typing import List, Literal, TypedDict class Message(TypedDict): """OpenAI Message object containing a role and the message content""" - role: str + role: Literal["system", "user", "assistant"] content: str @@ -45,6 +46,47 @@ class EmbeddingModelInfo(ModelInfo): embedding_dimensions: int +@dataclass +class ChatPrompt(List[Message]): + """Container for an OpenAI chat completion prompt""" + + model: ChatModelInfo + + @classmethod + def for_model(cls, model_name: str): + from autogpt.llm.providers.openai import OPEN_AI_CHAT_MODELS + + if not model_name in OPEN_AI_CHAT_MODELS: + raise ValueError(f"Unknown chat model '{model_name}'") + return ChatPrompt(model=OPEN_AI_CHAT_MODELS[model_name]) + + def add(self, message_role: Literal["system", "user", "assistant"], content: str): + self.append({"role": message_role, "content": content}) + + @property + def token_length(self): + from autogpt.llm.token_counter import count_message_tokens + + return count_message_tokens(self, self.model.name) + + def __str__(self): + SEPARATOR_LENGTH = 42 + + def separator(text: str): + half_sep_len = (SEPARATOR_LENGTH - 2 - len(text)) / 2 + return f"{floor(half_sep_len)*'-'} {text.upper()} {ceil(half_sep_len)*'-'}" + + formatted_messages = "\n".join( + [f"{separator(m['role'])}\n{m['content']}" for m in self] + ) + return f""" +=============== ChatPrompt =============== +Length: {self.token_length} tokens; {len(self)} messages +{formatted_messages} +========================================== +""" + + @dataclass class LLMResponse: """Standard response struct for a response from an LLM model.""" diff --git a/autogpt/llm/providers/openai.py b/autogpt/llm/providers/openai.py index fd4980cba0b..acaf06719ff 100644 --- a/autogpt/llm/providers/openai.py +++ b/autogpt/llm/providers/openai.py @@ -1,43 +1,70 @@ from autogpt.llm.base import ChatModelInfo, EmbeddingModelInfo, TextModelInfo OPEN_AI_CHAT_MODELS = { - "gpt-3.5-turbo": ChatModelInfo( - name="gpt-3.5-turbo", - prompt_token_cost=0.002, - completion_token_cost=0.002, - max_tokens=4096, - ), - "gpt-4": ChatModelInfo( - name="gpt-4", - prompt_token_cost=0.03, - completion_token_cost=0.06, - max_tokens=8192, - ), - "gpt-4-32k": ChatModelInfo( - name="gpt-4-32k", - prompt_token_cost=0.06, - completion_token_cost=0.12, - max_tokens=32768, - ), + info.name: info + for info in [ + ChatModelInfo( + name="gpt-3.5-turbo", + prompt_token_cost=0.002, + completion_token_cost=0.002, + max_tokens=4096, + ), + ChatModelInfo( + name="gpt-3.5-turbo-0301", + prompt_token_cost=0.002, + completion_token_cost=0.002, + max_tokens=4096, + ), + ChatModelInfo( + name="gpt-4", + prompt_token_cost=0.03, + completion_token_cost=0.06, + max_tokens=8192, + ), + ChatModelInfo( + name="gpt-4-0314", + prompt_token_cost=0.03, + completion_token_cost=0.06, + max_tokens=8192, + ), + ChatModelInfo( + name="gpt-4-32k", + prompt_token_cost=0.06, + completion_token_cost=0.12, + max_tokens=32768, + ), + ChatModelInfo( + name="gpt-4-32k-0314", + prompt_token_cost=0.06, + completion_token_cost=0.12, + max_tokens=32768, + ), + ] } OPEN_AI_TEXT_MODELS = { - "text-davinci-003": TextModelInfo( - name="text-davinci-003", - prompt_token_cost=0.02, - completion_token_cost=0.02, - max_tokens=4097, - ), + info.name: info + for info in [ + TextModelInfo( + name="text-davinci-003", + prompt_token_cost=0.02, + completion_token_cost=0.02, + max_tokens=4097, + ), + ] } OPEN_AI_EMBEDDING_MODELS = { - "text-embedding-ada-002": EmbeddingModelInfo( - name="text-embedding-ada-002", - prompt_token_cost=0.0004, - completion_token_cost=0.0, - max_tokens=8191, - embedding_dimensions=1536, - ), + info.name: info + for info in [ + EmbeddingModelInfo( + name="text-embedding-ada-002", + prompt_token_cost=0.0004, + completion_token_cost=0.0, + max_tokens=8191, + embedding_dimensions=1536, + ), + ] } OPEN_AI_MODELS: dict[str, ChatModelInfo | EmbeddingModelInfo | TextModelInfo] = { diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index 3339fb3da76..399da90bae5 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -6,7 +6,8 @@ import tiktoken from autogpt.config import Config -from autogpt.llm.llm_utils import create_text_completion +from autogpt.llm.base import ChatPrompt +from autogpt.llm.llm_utils import create_chat_completion from autogpt.llm.providers.openai import OPEN_AI_MODELS from autogpt.llm.token_counter import count_string_tokens from autogpt.logs import logger @@ -79,8 +80,7 @@ def summarize_text( if instruction and question: raise ValueError("Parameters 'question' and 'instructions' cannot both be set") - # model = CFG.fast_llm_model # does not support text completion :( - model = "text-davinci-003" + model = CFG.fast_llm_model if question: instruction = ( @@ -88,22 +88,7 @@ def summarize_text( "Do not directly answer the question itself" ) - summarization_prompt_template = ( - ( - f"Consisely summarize the following text; {instruction}. " - "If the text does not contain information, describe the type of text.\n" - '\nText: """{content}"""\n' - "\nSummary/description:" - ) - if instruction is not None - else ( - "Consisely summarize the following text, " - "covering the topics present in the text and nothing more. " - "If the text does not contain information, describe the type of text.\n" - '\nText: """{content}"""\n' - "\nSummary/description:" - ) - ) + summarization_prompt = ChatPrompt.for_model(model) token_length = count_string_tokens(text, model) logger.info(f"Text length: {token_length} tokens") @@ -113,12 +98,24 @@ def summarize_text( logger.info(f"Max chunk length: {max_chunk_length} tokens") if not must_chunk_content(text, model, max_chunk_length): - prompt = summarization_prompt_template.format(content=text) - logger.debug(f"Summarizing with {model}:\n{'-'*32}\n{prompt}\n{'-'*32}\n") - summary = create_text_completion( - prompt, model, temperature=0, max_output_tokens=500 + # summarization_prompt.add("user", text) + summarization_prompt.add( + "user", + "Write a concise summary of the following text" + f"{f'; {instruction}' if instruction is not None else ''}:" + "\n\n\n" + f'LITERAL TEXT: """{text}"""' + "\n\n\n" + "CONCISE SUMMARY: The text is best summarized as" + # "Only respond with a concise summary or description of the user message." ) - logger.debug(f"Summary:\n{'-'*32}\n{summary}\n{'-'*32}\n") + + logger.debug(f"Summarizing with {model}:\n{summarization_prompt}\n") + summary = create_chat_completion( + summarization_prompt, model, temperature=0, max_tokens=500 + ) + + logger.debug(f"\n{'-'*16} SUMMARY {'-'*17}\n{summary}\n{'-'*42}\n") return summary.strip(), None summaries: list[str] = [] diff --git a/tests/integration/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml b/tests/integration/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml deleted file mode 100644 index 19e4a34e8fe..00000000000 --- a/tests/integration/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml +++ /dev/null @@ -1,2359 +0,0 @@ -interactions: -- request: - body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following - text, covering the topics present in the text and nothing more. If the text - does not contain information, describe the type of text.\n\nText: \"\"\"Sample - text\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": 500}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '303' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOwUrEMBRF935FuetUWlpbyVLUWYg7Z6NISZM302iaF5vMWCj9d6nIuD3ncLkL - rIGEHoPL293usK+eXu/38fwQ+nBXOF/O9WS/n78eIcD9B+kEiURz6jSPwVGy7CGgJ1KJDGTZ3NZl - WTZtIzCyIfeX50adrdc2L4pq6we2miLk2/KrIZG9DDZmNmYqi2qbzjZxDQHrDc2QhYDjY5i4j5D+ - 5JzAwXobh24iFdlDIiYOWN8FTlEdCXJBmHgMqUv8ST5C1q3A//ELbgQSJ+Uu4KZa16sfAAAA//8D - AFguZCUcAQAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f5848891c83-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:47:57 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - text-davinci-003 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '744' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-limit-tokens: - - '250000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-remaining-tokens: - - '249500' - x-ratelimit-reset-requests: - - 20ms - x-ratelimit-reset-tokens: - - 120ms - x-request-id: - - e6b71d9577dd427c94a5edb4bc0cecf5 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Sample text"], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '90' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaWQ+zvJal78+v+PTd0kcBkuDNuWMKYbQZMkCr1QoZSEhIwmADLtV/b5H3qLrq - JlIIUjDeXnutx/6Pf/z119+forqe+7//9dffr0fX//2/5muXU3/6+19//e9//PXXX3/9x+/zf9x5 - rYvr5fJ4l7/bfz8+3pfr+Pe//hL/68r/v+lff/3tJ8svlV+lXVErX4hr86DtGZaqBPGXTM4QWJct - s1/uuu0vFk4A2lFgeIV35sSNKVDv9kVllpCZ/rjpGwtlO8ci2rmTUy7XSbCWZeIRLCirli3MM0b7 - PfhML9vU77yaOzCpzgOPsfou+GDZA7CrHDJHua5Qv45FCvbHrQjWvhQNGcoSWCcSZ3jbaQUv3CiA - nTFe2MY28nYSat1Rq3y5/z1v1V9uJwv2z/uR+A/liKZFfTJgWXzvzC49K+2bLCnR/uaHVPLMizko - 1k2D91o6kHBEpj/4MRzQN9QsFiz2qfldv60TbBdhRnDKGj7hNw1QGdoRC4TjvXjbffNAephwWo63 - O2KW8T1Bp9Vbps/j+zLxLkIpFwyrq0+bcjtLRNh+l4QuHgVBg2IdNbQdPiExNL9GU+fbDvgfMmF5 - v2mrfpOdMliJQc7O7+jedjsqRLC5BDXxZU30W0r3ETwPxCZ69Pm0HEumAg4qETFu6ZeP2w/p0Jb5 - HgnM7FJMW+mVwcUtMZVraZPKlmQ2QKiyYyGL7uh9ML5n1O2FiDl+sm2ZXi4aUGrjToLypVV8k+kC - rPKrTSwhq0xO3a8HmZiURGtzoWC26XtwYmmDl9Y3TCczp6BM0/XK7O+98Tm86xoJzD/QdUDkdJqM - +05tfK5QNSlIym3TdGBzVFpmfV/LdmijlQDv3WlBlRgZqZzXrgam1gQk1E3bHA99noAYFicSViL4 - v/cJJ9mTWfgJo2Jw0AhQeKZK9PU2bsdHua8BkpISMrpFxadbdUZrt34wa9Hf+RD2uQHvsrZJeBKr - ontklQMPMROwhIuw7epbvoKitwmWniGupoUkX8Gj8oa5JH6mPMjfAXSLmBJn88oKjozvE4510ROi - q006LNDkge2YWyyH1scfev9aQxIt9uS33kbZP4iQtG3OsJe9zPHzvgSQFG+faKfs4Y9Ln1F4G0hl - ni271XCBdPjNH9nGpoWGY/QxYL3Ybim9jSPqdHcMYBBvhCrlF5tjCr4F/uXek2BCRTudwTwspLI5 - Mkf0LN7ujayGaPgQsg+okE6b18oC/dH7WNF8p+XoOEZIWq/fzF4k25Rn6tZAEnN3bF4/5vS5VRgS - DW3pWrIZp/6xNODj7zKs7lyj4H5+2MFCo2/mj4uhGvlr0KBE4wqL55AWTe2uJ3CjRUpRsuxTniCl - Af74Osze7seKunXToftqU5CLKvQV9d/BFV3dbsVsnNt89G66A9LuFrGNZ6o+7dD3g3ymMUbW3s1k - phGVsPH7J3Hkyz4tlXxZK5cw35Pt+tGjLxUjAVarTUl86FaoaaLyAUXxDvFKkd10WYjaVfXzpsbi - C91NHpcXAX2X8ovoWNm3PImNEwxuQ/GiGnA1BMfhqpyn1iTGs2Gc5+pNAdDNjhijtU2HY1Qa6jq8 - fVkgxldzUlEmgkA0hfjdlxY8rk82CC5d/PSM80wlBir9N2Z6v/HaUarz4bf+mKVvfF+k5cJBC3f9 - xamcPfhwMz4iPK5QE/MWm3/qB9Urt6HiQf6kDbyGBB6LrUG2G6Ezh7GPPciH2iTaa9Okw0HyE5Dl - 0CNG/EyrCW6ig3YfItKJ6vuKl17RAckfPtMeRtZ2bpzUcLxvJzouR+bzdbey4fRdMGaORlm9lVh1 - FLl2gGz226ToQ8k/w2cQBeJt7g3/ip5qoVNEb8TcOFLapGJsw+KWTsza2LjtVuK9AdbnOXNr/Wj2 - zB2falc2e7ZZJltzet9OB4U4uku0UPDa0RUzEaY6PjIHg+CPRHoFUL7FihF6kdHrV39BSc9su4i0 - djnPjzLXE9EFySqGm1HK6lcuRiqt66Lg255nUK+bDqPFMUd8QYMr2pdNxBzhdi6mvefVoG9hRbQq - O/Fhri8Y3A/F68UkFr17XSWKL2ZrpkUNSf/0s9/8m9/3tRhqy7bhsjA45ZZntlNwXK3QWlI2f/oj - /xhRAxfxwMj2ZJz8YUVfJQhDk8/6Nlb9PB71TQyJzHprct1ngLwwkYjnBIHPOXI8pbftjvhV/ESf - MHMPkK/5huiPzCg+iRh9YGudVnRSzHPFhZ4/QUKHAk9DJ/PR6vMAsK4/iFvtk2LIpN5Ai3KQ2OmK - CpO+3I8CEvN3mH/i8zwfyQ7ebeSxTH+KiIe3agerBztioZGbaqRiJkD9GO94mPWtu7+FDiWHNMJC - aNop/emP1dsec5djhMZXjc7osTsMxOhNk4sXKAaFH1cSI9I9MMdHrcngRMOXmMv+XrEsO63gGxoW - 0d/0WQ1uuTQg9M+UHCSkV/SE7jV4/dEkzuDe04GCIcC1/CRkW+UL/pHNLoNFkbXEm/RjwZS3JYIV - IYva/aOvaIuyCZIkc/E1MYqKD7dTjdbrMcBIMApz6GJdRGznuOTyDDo+vo0sUOpJYrQ/XQ5p/6tP - d3pUzLgIvjnRuPCgZYbMglF1EXevKwrV8/3BpRUt+WTXjqDglovE0erKpIs60eCbnDDdZYHHRyOG - BzpMJ4+ZC/Zph0eyXMHx4pxJaGQWf2WmMaDjdkjZtZa25jRl7mpdRZ+U+Y73SulwLD14beUnva0f - pJ3KPi6hUYuMeM1RQ3Qn3gHO66vGDDT4aPDk2xMZN63/07/6jbGWwdQ+AbkdslcxgjEZsLpOOkYX - ZFRUkPoaXVahTGb9b8tlHghInnYm5fp2nJ9fLIH2AWP2+rmrvoz2HSxs7UFcP9I4f5XLCTrx3dDh - pO9NvjB3gWpTKMk5vj3TT1Y7NbLat4PZxzXQrH8yLA72wELzIFd9Kt9klLOthlnaP/3+dnsAXJlP - 8EKLCpN7pjRBOGUOcy+LyB+C904B/FZ6Zl0eoTk8rysHjGQtESu8GVXf9sj602+suX+1Dg0i2KhH - gz63I2ung5deQReTgoRaK1V90zcBDMl6gRfNmaec3XQKaVJzKsalbTJ0HBM4olEmluOW6ZRH4w5G - f3ciOnhVwfANMDI+qUA/p6zi48LsGng96iUje7Ou3o9aT8BgNiL4cr0X8/OvkNVbHjGWGSq6e5ZE - IDxvCdMf2ohm/26j90vRmf0q67azvEqGJsSUOQux8Idbn9vQR/KCLg/52x/jOm+Qv7BVLDquVvQX - KjzQz+9o1/xVjXavADKe2ZJ+6cn3uVS7Bwi+6IqF+81C7RJNE2A1kolNjlk72Shr4NA+BOJuqrhi - 7OZ260V7XeNF59Upv4pNgH7+b3nQD+1w9FoFAu2p4eUiKtse9XGGdKNRmXPVZd7tclojXF/WzHTL - FxpyP/yg55s6GLT+nA5vz8OKLigxM8/1wxxM7ySguZ4x19zSbG8it5BzsJ+UdZ6ddvP40QJV21nv - 17w81yiActttMVBl5XOl1wBkkg5zPznwaUV7gKA4JHQYHZGPeyPzYCM6GtvkjsSbU50rwI2yY5tn - SKshvTkCBFqtsS0+ar7M++YKxDFdul6592qo8/2EDMd/0DWJn8Xw8VIL4aN4I3qxC/0pBEmBaL2M - 2TZqxYI965ODSjXomJks22qY+6WSfcuQ6Vmy8On8/0rX7nLmhk/J51mWrGDUPgdMh3CouGlkJdoX - kU2Sr1EW37u0y5AiW4zgIRxaNnnptCLr5o0XnK/9ocrAQGaOzrg/nBNES2NyQPO/e6K/zKodTrE7 - KOQq2kRPUG4OeXnZof3QXSmXMwOxbc9PgFT7gFdm/PQHtXY6SA5xxEhuef5nHq/67DWTBLFzLLia - pQaYET0Rq4syNDQoOkBS76/MOXeZPy7rpgHL9kYKrj0Ug+EZFqQr05vra6ymnTt2UD+jirneOuVD - i74BwoeixXXQHVs69XGtBLV2JJoib1uq5wcb5vxCTCw7Ph/o0gB83wzM3z9oNY6iQkG2LUowoe9i - /OXFWW/oevfxioGbxkcNl1OMYee7Zn/sHw7s1JdKr9oXozHLkjOsJv5i5ub2KKZCJgG8rcNIAvda - IhaXe4BbcZ6I09usGub8h+b+xKKm6CoaZVUJBzmN8cvdtAUPPG9CoytlrNBcnUtV7Blo7tf4NcIT - TWq5MdDGeDx++mZOijgJIJS1T/Q63/CprXVbMYfpQx/562iOW7Oo0fpSLal4FBXzHtweKzXf7SjD - /uHAJ4PKH2VzwfVPP/0pvbkZOhvl+9/1p7sjVrWjfGbOfkHQeAC1g/l3on3tntPJ+B6Q9chsZvYL - ivo7ikpUrz8d0f3YaLmM7goIkrCjwrf8FK2fXw9gX5WE/ep/wNkJK+G7M1mhZFa7TND0UYiYXAkx - k6/J1ffijAZjOTJjtN7p1ERlqcYRvTCyFM/V8DSfB3RW91vK5jw++uK3A129Xej6tqOcrsQ8gFq9 - c+bja15MgvSq4fk4hcwWcZKO77d1UE67d02n8tsVzHfHFWyKccJCMeCUd1krA38vTKJn387vl+Bj - 1PfGBrNt2rU86x81GDejx0O661B/zamIgnwZzbyjLEa15x6Ux2E/55GMszvSbPQ9xHtGnC/x6fM6 - 1LDPlwleXk9exYNbcoW4yO54+XTv5hCZxQnqacloV4aRSX/+WBCrkpn31zGl2/JCgdNJY8a83qcQ - 1H/7BS+N7v74fVMbXktVo4/FSIrlnPegOIQWs8Lbo2KzPkP2xAnx71D74ymD4MdLmP6mVvUnnz/l - eMesd1wVtJHODbIOeIHv/carBkOcDqBotTfnZyuV9fxqIbZdGHShRcgcN6pdgsEsRJXX+4bY8U3P - qL8dgYIYC2YvlZcPuudnnW38DKHxx1tM4rtUzL1zO+ZZtUOraXwRq14nfETJ5vlHj+O5voaupAlS - LS9gBB/vfAqNb6BcDBYz2z9I5iBfVxjNfoC+Vh+35ULWruB0ME7MEM5D1cZ1YsHxcLwxvdalor+j - 7AHZVlApWvZmIW99bCBZoy9GIBzQcE/exto3eIHRO/mk3IxFAey8PjKiv3LE7f5RAlyC6Y/+TF25 - l+GSbU7MnP00f8XFDp5krzBXuOzboSmDEqpc2hPjGD/QGIjTU3VytSV0CKN2PGXizMv4hZgNXMzv - slxmyly/xM2+PaKBkR2U8m7WeDGWTjXmZvoB/SqbOKYnt6CsRh3E6KHShynm7bBFd1ud64NpXztE - Eok+gTLzDYrm9UGdOpfR7MeJ9zUMn1vJRkbkwc94Zb3rivc0yMAwlm8KZNqh3/uGWHZEQo6H5ewv - 4g8U0zUnPjocUs6R5qgXo4+Jx2ldTYZ4V+D8BoEZvnTxh7VnJIi+FREPVaZwBn0uQ1Q+debM/qiX - 0P0K+lZY0eecd7kJfQAbdW8Q114NRfOmwgALf3fBw40+i2mXXx107HFDl/V5rIby/ZLhhiqNbI/H - FWI/nlNOjw/78bZhf2soKqNFRtdGeeOsEJ0zKlXcMbfqDd7bpkcheVyPzE5OXjqk4rdEsBW/xMXK - Mh2u0DWwdTtOdJLYJhdM/wDQxxpz4vei4J9YtdBeNnKqdi8N8Rr8J4r9Q8q8SV8WMz87QLNd8X/z - p17UHj8/SCELuopHUt+gfsoIM3qzQpPmloOK69sarybRSKeKBt6vv1PI723Komgs/+gfD+9uwT9G - 1ijZM0hwKSxbk21AtiG62QLl5ftVTY33PIG0Rm8WhpvQ7G+SWaI5f/7pv+z4rq8w5w3i3Kjtj/ve - OUGXL490dMiunTJp94RgV+1ZMD/vzIsDNG4gJjOPQp+5f4BsvTvM5zz3aWvng4zd7st81XLTMfXf - T0TWnzeVVXiZbLq1V+RotMDLbdqg6STJux9fYtYL3X32krdXcBpzzXz9qrUDrXkCbOe5+Df+YStJ - MqxRoM2ZTStEjfY7hJcCwu9J/vpjFK1t1Drbyy8vFiPNQ0dZuOhL5UMRIrSPJQ11uxumuSkJLbu4 - I6CZNzHfdZbm8FCPiQJb+Yvvx/RbcanWD3/4aOha35Zr/s1WZj3B9W1Kq2FKrvjHi6gQWy4fCcrO - MPtZ4soFbsel/+4A4o3C9OVIzEHsJwW+o/7ByjG2quWc31Fj1CuMikgvJqHcK+vZf7PNukYFLZBy - RspGSLFwOHUm38H5pCyPw4mFW/o2Z32MIJRjQvbwDc3uod4SNKKrTNFL/VY06LUnoDcNqXS9ZubE - 4qcB8/oh2GqmYkrMrlMuFk6pgPWVyRxqRXAX8Y42tvxtuRiVAzD3apFAhoXfFHUzATXOF+Id1juT - kXJjAxOjFwvyu1+MeY80kMjWppJuPlPmuXcNvhoKZj1QfzyoRvfVtsDru6Ejvqu5rJ7Er0jC0neL - UZIEjL4XO2FOKASp/Oh5AqeNEBCtNsFsr54nQu3omBHSlW1XgKFAsLvvqTAtsblcxcUJHR+Pms38 - sJiub6uENcIa0RdcnvvR/gMXLLp0fHZyW8eZeAKrXCQMO+0eTQWazhBG8opsF1FZDdf3DkD/bHd4 - 0U77aoivK2ulYjFiB9e02t/7g6OmHvAg+nXFmKmu4FCcB+bHnuAPsdlFSH1Gn9mvYC6d6av58UJM - PW1XjWsjisCxXg+m1/kLidfj6gHHOu/JthENc1nHHUbxs52IsfHOPuUqXoFVpyFerIIwZVjyFeV4 - 2N+Y0xS0mIbjx4O6v7yIczE3JlPgdUK6GBXM4dPOH+d+DN/p0TCyfrCq59L5vE6WcjnrQ+93e+uw - gqN8Q2xD19ycHj2P4JqPNsOEblO+rCsb/XiUdtDidiiTgweqAB0eNLIrJFs9nsBhe3HmRYb/4xtI - vu0FYiXXJafJdXiosta9qJhITzSIWYVhvdtJJN5UDHWpu05Avxx1pjVFUI03tj3BR3bWzD/XFeez - v/jxJkJURfPb4ZY8YTEdNuzHKwcq3ygyb+TItPF251MjnT/KzDfx0G/HYiTRBytdLh2Jqz+wz8hr - 2P3J48FjFfvsm4QAy+R6Y1723pr9Ekysju3pw1xFNKof/0HNxHbMcdUPGjvqCz/ewHBioIr5+XUH - s9+hpejbVZvE3kkRqdDM/KszuzwaVmpziYBtBiK1Y6PiBhwXXbA883P2Pn4Oir0wKFZ10/b7GE1Y - neT9i4X17VLIFQ0c6G5+goX9pi84icoG7dHpQdfH1C8m0zMekIqeyYJwyzlr+kfz25/Bk+bbiIue - 9AB73byYt6vNakzqRwlvJ1xhUd/45vg2ogDmPES8XV21XH0vzxDaHqc3ZYmLcQ07C/aMFCyc+T43 - jh+sGOtRY945Opn8QqkNfH3esCBwDXPmuRg8ox7pauYVHBn3p/ocFvm8X/RIeWMoJzTXC7N69WPO - /fkKf/KLuWN8jCXZho5sLUamq5KOddwOaNtGJsHmjqD+Y3xtQO8uZLtGkQum12iCviYOFub8NgVG - tlMkWSuZqegSn/T8YKFQtQJmvZ6iyc7u3f75GzyGUKHBuvESplI90847T+24/WwpFI+TP68vnA6n - kgYQ39LPHz36eJB26CobBTFUGxc9elMHSjtOiXWvhmqwJBPDPUwUrI5P2eRr2JWQ9cWO+fHd99kT - KfSXN4nH+srvXjfdUNjEKzzNevlagh+g7+N6poMsWf4w91eQcu4TM0cal377UcJt4+AzSz7V93Nc - TbDfCz7zJcMo5v1XT0V1nLNIh6qazuWiBBGLmJFVEBajk4EDc34kxIqFduYtAMvQ3jNtXi9Mgf70 - 8xvzeM8+JaYnKLzgQDCQY9v99jPKcSti+bJNqulNhQlm/SY+ojYfFeProeGmLWm7OK5Rr/TOA5r+ - 6OEhN81i3o/D6ELhRZL5/f14ujr5lUWF++2JxmtOZaSGR0zlLmjToUeTBXM/JES+XdCf77M/IfbM - i5nZawNaUZmwoF6L7VD2dwGC7/rKDPum8NF4W/jn18kmd/Z8kMyiROhAfBLO8zOtbu4DHQ6OhJdZ - X8y82RPAIXFN73GtFNPUx09Qit2Z2V3QFvP+3gQfrXv8eGPL1vEzAfuZnJnVfdx05nkJyKqxpbxG - 6+rnT6DGov9nv6P/JtdMKY/TntlzPxmy0rrC379TAf/5j7/++j+/Ewb153J9zQcD+uvY//O/jgr8 - 83Q5/VMU5X8y+c9JBNqdyuvf//r3IYS/v+2n/vb/t/88r+/u73/9Jf85bfB3/+lPr/92+R/zf/3n - P/4fAAAA//8DALL3VtrhIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f5e1c301c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:47:57 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '193' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 3d4aff3a996525e62025c9460288d048 - status: - code: 200 - message: OK -- request: - body: '{"input": "This is a sample text.", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '99' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaWRO6Orvl799PsWvf0m8JiCTsO2aZTFAGsaurC0QRHJAhAXLqfPdT+O863X1j - lYiCyZNnrfUj//Gvv/76uy2a23X8+5+//n7Vw/j3/1iPlfmY//3PX//zX3/99ddf//F7/f/OvL2L - W1nWn+p3+u/D+lPe5r//+Yv/7yP/96R//vq7zc6QiNEtAsTVIAHdmQqEix5cQd3IiaHLrg11lExq - iAqOCMp7L1jfZw39tDCG1od1hMlE9Sfdmx14V9Qv9hZ/ZyxSKD9B/pyP2F3u1355Da8UxNI9RMKS - D+wrxP0TTkkeUN/q3v0kat0AZnm3pZbIXaPld70LJ3MIcs+rPy3HA9wRnFrUlhIYUQHhJ7AjSURD - 6pFiGfDVhO2CPIoj22IzSHIe8vtgi1WaIzD1w5cDbFI46rHTwEa9XHRYHfcnIpvTIxrraAqV/bid - 0HC5qD6vTc4JlPvpRradvWsIH4AOJqOEcPoSD830qEYH9G9rQ9WLLkRk2e4J8L6xQDVuGNnw3Ton - 6GilRbVj5hut29pXuOcfHLa389BMrHMreGsvb+rsjk0/ndRU3nHmo8WuYRSAPXayCpUl7HDwCh4F - NV4gBBZRGxr32bcfr+8+gFyBBQQ46d536ANsmeO2Lg5i+OoZS6UOcs3pQuDcLAYLOL8FGymdsEab - F5i6VxHD1/O6pwHEm4axLhfBh49iqjafsRkP/AdCJWp2RMjPmA2vfiHKfhPY2BH1mU36LUohBQ2H - vc/dbxYzph3gTDvGmqJ1/XCyppOSLvCNtdp6RHP6YhBm0YdQVzETn0m9bkNjuiXota9Bw3Ay8HAT - HJ7UN5sFdLuLeAUnqTUoHo8qECNekOWL6bnU06kUTSqMeKg+zhCJwnUylqD3FlhK0wHfuAvt2VZo - MxjAVKd2dGOAXjA/QHL8mNgSoos/sTnz4F1ybLwPjs9oeTzOE8ytV0B1LvOi5d45IsSdrGIMcweQ - axxDKNkXha7fN6bHQYfKaCAZTfm76YekvORQUYScaneliYbDfebhOp7Y4aANJnpqM9hzTo3LPHpF - rB/YCRSVXKKlSw4Fw1+sw+cweTi3rbu/7LP3E7YaKmjAPaExLEcLQoHYEpovUO6pVfdvKBBToufk - hCIG0sMVlG+uwUbdN/40fvMTvOR8is29ePen0+V0hYFcZURGm9hYWhNV0BNpiOB3msBwwU2+UUO5 - pejevYyhmDsRvnhQYFwPTiRymXSFC1/c0JJSD8z9KEjw7HaMokfS9gO30RFkWvyiehG8ou8SDh1M - X2+feumSFF3FAgLGG+sQJ2Sv/k9/CZNWpEh7b6LeFxUVZH13xJpR+uy3HiA82SLpdYlGs2a4CNax - nBNY553/zLNPCOdoSnEoXx9gjtBJhOY7/dAAvxK2hO7yBO3WHqklbayCHrlFgs9h8eie0x/9YAn8 - DYivRcAHLsyaPrMlHkRAmrB7jKt+iBDvQKx4HOKJV4H2PPay/JpUiez8QG8EJGspvG6oTFKxyxir - zsv7z/yaV/wAs3C4chA/v3vqvNC7H91Y54BwjRB27nbbTK7m2fDLvgeMj5uTwQLrlMJm6jZUXb5V - M4TbnJNPfMDjtZ+BOTf7BQ5+rWCTHBM2cRdmw9bbPKgf62ox9/augmOiP6k2qWovfv3E+fVDbEzh - lc3JlIe7531roE10yMGMtVCH38MkE7mHtjG/TokItzutxq4mMGO6Xd8IvgfPIGJuDNG0bWoP5r3u - 4YP7psYiEmADedpnZGfT1mAzvU8wB/cb1RVP62ndWjZsvGkgYHe4FlOtPzt4eEWIqjGoCsazdID+ - oSjRPMyIUUu0JqjN9hWjT/mOJmjiAKzrDWs6Nnz2GgIdKMo2p+jrfMFyCW8qGENHowfZbZqhuKmt - crvyAkXpNBnzTVBvsBGaGrH1/z8Dy1WhK5wO1M6Epmf67dlCTKeGKMMSG5SfH1ewuXg9NX1rAiy8 - gutOejkELVIY9EvjSB1so/uFiM/2yYhmJg60QMZh21ZxMb9t/SRjujRU9feiP4haTeBNxiF6S+gT - TTVIODi4NEKc+CbFbLycFqA0VKgpP44Nm3InBQ3JVBq1sugvifcQoVcZBpnzS2J0a/8BnyJ1qF35 - XbFU5m6QfaM74+ByqXzmObUKLe+Csb3W49BQPYOyldZ4n1ZnY9XfGL4IPmD17kU+2w2bFNS8eceB - lTb+E33UG7SuaIdxuUTF4gSFCn7r24/1KmL4u1cBapCJDfLaRfMpmx14FTgeq3YHerbJgxyg1vzQ - y8RfiqkpWgTz75fHe74/GVOc6hMEXPmgah7e/GWouRAUeYCx7mZFNG0c24N90vZIPiGLPRE8S/Kq - v0jkN0JDHX83wD3fcNRdsk8/1188AK2877EFYo1tR+UwgVvqtdTStlk0TOMlALqR5Gjaqw9j/npu - ALZHWcOebd2NCT2oDaxznOKjoxX9hK+1B7e8t8GqbF+jKbA0HfK56ONg6SxAPzCtoHEcn1jfsiMj - fniB8LjtYhpAp2uWb6nbcHuUNLJ5vfhmVl5jCrfyNiDMIkeDwkkM/+i/O/GXaB6xkoG1X2IjzLn+ - E1VyBmlvd4T3rZCRVc9AckYaddk7jNpfP+5vsKSGa54ZC7fPE3xnNcV+Z8ZR39BigEki9EhUk8BY - NgRLQK9GgTq03BWsCF4qWFDjo41qRsYMjZcMdviK6ao3BnPH2YOP+WjjfeRNETWLGIIhu5oYsfDT - /95DlJ4UjO6z7I+u2i7gbC4hxQ/N8qe33bx3z/gUoSbMuaaXTqgGWM9djBPUgMWNHh0go88jwUcf - QIxN5kFpGu/YVT9dMaSSjkCfPxA1DdoZiypseTmLnBxNqtREE0igA79u0mO7OCbGJMixDh92HVIM - FGQs8Oo4iuE9dXznCWyoxYc1sIjeoGH1j4tYhLJyrl8bQveR2ZA2YTeoS1NGTWUyChYdwgByrQcR - cNUxmj3CFnhrizdhg/sBtDVGJGunc08U/lZF1E5DFXriGGLf3j/8Vf8C6A5TQt2qbBumwpcDi7xv - COeYOtgeKsODwpRssXpidTQ9qpcDX8CLEf8KfbbdXUoPFI9kpkFbt8bQFBUC9uN4RNvd62PMyXQK - wa8/H9SXZSwxfi+gDZhPyIHaxqJ9hxMko8uv/dFl8/sQSnIpLQe0TS+1/1vPkODYwq6kVD51x50D - 1YT51EAU+DPdGTcozsmbah5b+ml2dBtmX/FDD8WDrP5+5wHhixKKy4UVE8uuT8CN2jp/ZFO0iZmI - 8OFnDHFZwZopV7gMrPNFndBMGLl+Nh74htoOVa1fRl/7nHdwvM0dEr6XGiy5qd9gc32n+PCZv+Cb - LPsKhvnjgoSNNEfk8Z4deDankPquOhYDOb9SuNvsW/Ktd7L/hl4UwDDpROo5tmPMm/0gAmi5lLoj - OPjz/vY4yTkob4Rq/psxfv7e4EeuDlRLBKtZ+5sOPyc1Rc+KHQvGS5MNeRYb2GbxYoxL+Ozkq7w9 - o4+kSeBz/ZQ8uHaZQfXFIf1czdMEnjlXUUcFI1v156qEG3jGPz/I4CSeoNsmNvXug1eMh8vWg0y4 - HMhFE6JfXnrD9H4+UvtJd4B51yCQPci51DZ3oJm7TceDwE8jGjwU2i/p69TCYZwB9nr49pc4UT3F - ZFSnfk0O/UTf3hM8gwOlf/x3S8MYpuXjQ+Td4w6G/Rlw0HRggNHRGsDktugGpqEZyfjcLGziA1eF - a71jvYjyYvUPJ+mdpxds2fEJLLtMC2B1KBVSt+oEmOd06m4ynjXF24r1n+02aaEAygi7IVf4LDpk - ARx7MiPhmFps8opFgt6pa9fxf/Wrnngw22KdgFf1BMQl+fX3+9QxxidYFvgwlQctC2yg1jbYVqhy - aY6WFCldJ/rzNXJ1IG2LAfUnbVsMfa7ocJsuT7IThdqfrp+gArlKvlitBLGZYKlPEMnJC22toWf9 - z48+5sgmW2W4+mR24CAPLciQwFtTNGhGXUP+nUPy2Zauz7K80OG0u/FI+vk5FRbir56xdjZIsTyb - 7w1eXH0g0ta1mqGQ5qvyHeAGG+FkGkt6lK7gRQ4HGlwMuSfBuX3+/C61g9f+z/gq+H2bsX4gKphN - YlbyqqdE+OlddaG8vOoFxY189CcVOTzcdFyChOLW9Ew+aG/41b83mhS3pplivX0D4Zz1aJ7Uqiea - WTrAHxxE06F4G8T9+CL074c9tnBfR5P93NfwHqgytTn13lR+49bQ2Do1NXeRwyaRKgN0U9uhe593 - m+mDP1doMxugE9lB8OXUNIBrvyC8X/fRlO42N3huRYkG6s7pJ+P1hcC5ZT42ONMGf/QiIlVCLec6 - gRkkJx7yOe+jLZCbnu6GbQqbl40Q3wHsswvMb3CfEvynPkg/xm84P3FHMbl/+/n51BeQhBsHAe0w - GFPQZQ6YS9uhds/10SLsjpkSTSymtrm8G/rLv5XzylHt3bFPpGc8QfFufoiSR1axeNex+vlfsvsw - 6k9x6i3wIMk12ciXO5sG9LjB8zgWZFG8R//UurcEFSW3sQ70pplvTkd+/hzvd6+PT2N9lmEblRfE - bSqjEFLfd8CpvnjY+3rYX86qX4G13qj9uDB/URG7gZWHYKes5Yhs3YaT5+ehW9e3VoxtGi+wyfw9 - Ei7u3qezU+SgImqG3epZNgvWew42YCkIf06Cvi01JQePjKGVv9g9Szy1VkRJY3/6xxwn3+uvnsl3 - zUPsA281jKY5pl6cGmArH9w3tM5pStWCDyKSSpAHcA4Bdvnq1XcoziT4KIMStRx8s9kJYAovTYyo - y1dWQz36zqHPtzbd8/1iTBfc5yB6oYYGoKfsp5+gHrMj1a9bh4lePoVwFo2Yamofg6V7WxDw/fFO - 9aP5aSgpQxXWgSDSPVNJvyTel5cDGOtkoVgvxudTn6D6SCDeA7lpxreth0CvqEARG2uffZBfyXtB - iulhAwq2GDtuAWs/oujZ04hNp5lA1/U1AnQJF3/605ioT6oHn9EfxkQy5VU/6P4WNMV8la38px9o - KzhDv7wZ4ADd6zo9DAvvz6/+kkNNgBvs2YXZ/P4/pG+0/9Vjv1j8zMO4twX0WPsj1abjEyjVXaWH - O+c0iwBQC1d/Q/UikgvyfWYDfPuvFm0czvEZpJqquOPhi0mUfwv6afkY7lVVx1mxTcF4wbqprP4Q - bUtRAT2IMwSVID+jnWImxtJf5Ow3PmjDWYNPFf/jwHwmGeFL+eXPS318K92zg9QeCtvfYmMjyS/v - syPCEzoF/fGnz0lP0aQkxG/1Wanh97DIaGvLcTM7VVpBPD8RNcOr2k+1PrSwDHoNyVeZFUu3cWuw - 8ZcQm/yFgTYpj5myQ9YOCd48Rqy6awjejqG16qtRLJv8NYCH6H+xSQXTJ62Jang/jQ7FzNgZ40VJ - bDiXpoMkWl6i5aXun3Ao4w9WVckoSEMVFUqaaVPNuaX+eO865+cvyfPujGzaXXwRRlfSY9fJ+370 - 6zaAzD449McLFruLarj6ZYocU2dLrXU6WPWByI/zgU23K0HweLZ2dC/iKlpcDQ5g6+Yu/uXVP/lw - Z6YMbe/54H8Zt+3gdjNSetgDvxfI7dTCa/E9Ufe2vPypES86fHRPiQisTXq27z83OXm+r3/Wz3Tn - Xi30P8OGBhtNbObxbOo/XoneXvkFy/HZZMo0PEZs7aWHwXzvfIL3E3UIvJ6CiN3qTAJ32iIEneHL - +p0lQxCV7oaIi/2NOkkJU6iGUku9oNGbRS+zQcaLVlOzYsdogaWSg+rD7mRe+xO7uUn8y7eI3/oe - WOx0ThWtLPf0oIdOMRNvukJ3Y0Q0mJJvtNxwpv7qG698qPi+RtSBsjqliOcvjA3m/nuVC+YX1Oyz - b/OHl/VDKqFm9wkiUo5hDTlveaDacNti2bBHCAuj1qlrnw79fHNqAo9luvyZj8FQTzwUdv0XzWeD - RHOpxTYEh/tCtbK1gXBWnzyUz5+KzI4Geqb41JHrYCtitPKsNf88YYLdkoiOcyh2yvYUwlpSdOL6 - gd4v2T53fvVKreJmNAJ3uSzyfhQmrGc5iYYFhwMIPdOiRhQI/fzebyuw21gt3aMxYate5UqSbHsy - qZssWo79ov7xf5gZF38ur4H082tkl64413nXNTTOXLnyKI0JR4nI4GPt8Y9XgfZRjR7onVNIZvf1 - ZYPnhOSXv/CPNy7dqV/AfoNsejBus7GEEwdh/JiNlSdsDTqArAZ1HQqIjseKLde3K0FklhE1yOsS - zS+OveWj3b2wtd+IPsPGRt6t+YUe6D5slnLMKkg45UbX/A7mDa8/ZYcId4z2n9YY1vuD0VY9YCd+ - hEU3P6RQXtcf9cV48ieeHbI//U6slUcxvpdWhcSTRXpYym3Rp89dLP94uqY4m55m9iQqr0mXVp7Z - FrOkzB08KMwir5ehRNP02YrgPu8Oa97d9+RltRCu+vgbH/AS2sMCMi2eCLRSw+CF906EYrTxf7y8 - X/YZeYIy8XY4oEVsMEyqHGbbg04k88j3Q8Yvlew+2h01LjPxGZy4EDqvZlz5uBaN5TjzsJvfBpLN - bRqxaazr33xSm2zPDfPoO4Nv/ShiO3HP0bSIpQnBEDREHIq3z5RnPUBRIwc043HfiJfv8Q3FSPGp - yhc7Y7mEqQrfi3ik6nEgvRg9CvKnPmxjbxj86l936i6749K4HX1K34X0u3/q60XM2ADCCh5eR/SH - 986WI+TwtLPO2G1DF0x9LqgwvlcmPTiZXUzVcjKVHw+zxy9i5PlKB7jy7pX33ouVL/OAcJsbdWW/ - ZfOAVAf6Ti2Tj89/+zX/1bDzkhwbabEvpp5Jb9CBxMV+5Pj+NpWiGnrP3RvrZHcFbOXH8sqH0Ibc - 3Wa8vhukrPwIH/SwLab93XsCzV5kbIbXqn/UyauG5/G0p2oJu2g096qnbNs3IpIr1Gw+Sm8Jrv0G - O7S8FONpiFLwOFka3e/P2J/KfOIgchORuiq5R2yTmzm0dSvA5t0ZwXSwxRDS53ZGfN5HBS3J8wrX - PIbV8o4Ba3QBwk+IBupVoezTcl/ZSmFUOr0yCTVsLoQ3bLWernyD+GteWSA65jn1bjetITEMKlhd - EUFS/kX+dHNNFb7z+EJvm08WretNgvw7g+h147vi5z/g9SgHZJuZr2ZSMbfyrzTFaPWfbGPXSJk1 - biDCtzoDITmnA3zAvEbbVprAfMO7FKz3S0R+k/QzkrUY0DgvqXNsTYPcxGu2W/M0XvNAT0aF2rL3 - vJ3ojyc9yZI6P73H+v5ds3EuPCifbrOAVbr9Fstm71fwMu5jIo+fbz/fvDOErRYUNPMr2//GyfcG - e2d80kBJo2hZeQLUc+ODFKJe2fDjy0yOJiTZ76M/M/NoKkvtVehlxyc27axHB/djdqW3x2IYf/jk - Rr/eKDqIwGAr34FcE14oDmLEhONGqYB5ECnWWzVkrUnGlb9x5dqfk4YgUJ5gPEh37D3OBzCt+WiX - dREgEs+7xnbN76APF4fMoVdHX7UNY/i2Rws7xxPXD0juWigFrbjyyI3PDmxM/+i1Wz2VZkSyG8OK - uw9Ys9PMmPRbEQNXdiZsb54jWPOtCjV6mrHG74X+FYpzB6kvv3DwtMZmHh51DLWvIREJf4DxcbUi - hysvxy7XNsXMca0sl71gk5nafsHuHMeBE0of1Lg2VjQ9j64Mghm9sVnKliFg4xD+8UNicUz8+c4F - KdxJl4Lq3/2zJ9xw6uDOjBmN8k3KJm1yQqiH4YPqyaM22mvUxT++ho37dS4WqwmkH88lkzHTiB5P - pQdnGWyxZ06PYnlu/RZ8Cz/BpqpE/vq8KJVXnoDktK8i2ia597sfjO+p1qx+Nd/BzT1E4iSp/Zof - RWhZ9UCGgHFg0Lq3DJvjVcaJEO38IRisTLk+fY9MTnL3WcdVCJRVmKIebFg0GZGgws66bfE+8/N+ - 4bLpBlwGtnjf2ZeGlEX/3hWSwVGPD2p/HtuJg2W/tSl6LI3BjtwiQ7nkL3+e7yzfrSyB9XkNNv3a - j9g5MnPIpecT2fW6ynh87Tw4pF2OljJuiinI+gCu/ps0K3+cZfnLQYNaHJLm17kYy1g8QcHTQ4pt - 5e7T7PFtwRadBiSdxIDxziHpINWfjDqPTczo7/mStl2+1NrXoO/7wk7h379dAf/5r7/++l+/HQbv - try91o0B420e//3fWwX+nZf5v3le/DcV/+xEIENe3f7+5/9sQvj727fv7/i/x/Z5+wx///OX/Ge3 - wd9jO+av/+fwv9Zr/ee//gsAAP//AwBQut1b4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f604db71c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:47:58 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '144' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 75c264af975f35cced39721c5a215f3d - status: - code: 200 - message: OK -- request: - body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following - text, covering the topics present in the text and nothing more. If the text - does not contain information, describe the type of text.\n\nText: \"\"\"Grocery - list: - Pancake mix\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": - 500}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '319' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SPwUvDMBhH7/4V5XdOpdXZdbmNCUP0spOCSMnSb21smi82Weko/d9FkXl9713e - DFNDQvfepuv9/vTajpdtvgtv9GxffPe0cfX4dTg8biDAx0/SERKRplhp7r2laNhBQA+kItWQeVGu - 8jwv1qVAzzXZvzyt1WicNmmW3f/0LRtNAfJ9/tWQSLZJM7Cm4ZJYE2Ki2UVlnHFN4pXTqqOkN9Mt - BIyraYLMBCw3fuBjgHRnawVOxpnQVgOpwA4SIbLH8iFwDqohyBl+4N7HKnJHLkA+rAT+R664FIgc - lb2C4m5Zbr4BAAD//wMARi4t5iwBAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f688b731c83-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:47:59 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - text-davinci-003 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '733' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-limit-tokens: - - '250000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-remaining-tokens: - - '249500' - x-ratelimit-reset-requests: - - 20ms - x-ratelimit-reset-tokens: - - 120ms - x-request-id: - - 42bac4c61de60d9b3e8c79583d7e8387 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Grocery list: - Pancake mix"], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '106' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R62w+6zLLl+/4rvnyvzI6ISBf7jZvIRbsVvOBkMhFEBUSu3UCfnP99gr+dM+e8 - mIhEuqmqVWut6v/4x19//V3FeZr0f//rr78/Wdf//b/ma497f//7X3/973/89ddff/3H7/N/3JmW - cfp4ZN/X7/bfj9n3kY5//+sv8b+u/P+b/vXX30a2TMmuuL7N7zW+RuA/qUSVUsL+KO+NCgzzTqlc - n+N4sIVHgMrl7s0scyhz3jTaTpXWkcduVmHx6dyEjdI+vC8x0gzlY8zWBcpd38ZCCpPPB3dDoYnv - Mh3tdDDZMWE2SvBhZOQjirx7OIUHrxLLzNbrlz+9vuIB8sOrICcwPv74rKoAtGPcYGl9wS1b6nBH - NDV9WsgU+IS2wQmOSfxi+zw/8YR5QgfqW30R+8ND3vrseAFo3YAY+qqPm+e+mpSP+qVMaxOC2NT1 - DpRE7ol32Iltv4rvMtKd/YpthOxtdnLlOXBeHB06vr4s7sqkbVDmDxoxjfdk8tNSK9XgLdR4uYgN - c7xkowFRkV2YfaUuGkX6TYGk46ZX6zHgfNwdNPics4R4+82y7cVxPcBZPH/xYkX1cFomSIHFORXw - mhaMT265jiA8xjc6NeUBrUyWdyopvZy4/JSgXrltFDjHT0b00fT9ai+7AYi9IWLRFax8lRJ9gJWd - I4pa+RZzSL0XrILAYP7B03OpuL8v8JHzA/NKCZu9TXwZ/M6ZmLNr9v6wM0kAi9f9RYea64iem7iB - 9N5s8UXzWVik2aKB6hJrZLcjl7z/Pl0B8DHSGMkFNe6EKNtBc7ncmUXPetvU4cFQe2u9wPL5rpgD - XDsZ+rxRaMZ8Le8acujgTsuOuR8xQ2y4VwEaQt2i6znfxEXaigDaqGNBPFshc05ahp7+90gsXcfx - IC4fFtpWTKHFe/1B0yUxI7SuhhM5INlvpxfYHvjO9cZMhx3ModGdBCoF3+h6a3PeHfaHDDaDL9C6 - thdmz/H9BLJwNyh93U1z+GxIsj4nh9MvfjnNVTNFdVG2xCefY15Zr1UKUidgorvqMudrh19QtBlj - skE44jy5RndYhEKBp75nvEvxZ0C33aci7tlXEd+jpICrGOrE/Hy/+SQpR4rCnEYMh6OK6OZCX2iO - PzNK3IR9bo4eWHF8J7r6LHl3UYdMdXkp4XVwrHx2dzxReXxOJ4ZTmMz2aSMHgk726KLI+7iTrIwu - sKJ2zLqG77ByR+OighHGeCg7g4vn171TbvtoT4h3p37321+wLa5snwV9OFBLtVC2qjriyscwHPdj - 2MDxejWIfVqM7bCNuacoz/JNXw/WtZypRgTxKEl03ezqkH1rQ4Yh2mTE+mgFHzeifAJtcD546INv - OJqfZkKHw2tJou+pbNnioyfo9nm+iIYLORzATZpffpFN7TJzTBCIAEVxZycZ2f5QteMOvqXb4skS - dvEw7xc9H9uWaH6T5fP/D5C4u5BdbsU77E7V+wRv+n5iOT4cQ36oHA3Wy92BOCBLZhfc4mF1xYs9 - /kipz4esFkplees2xGXLa7zc2mqgnKvuwMJF9PK7hXcU4Ko4Fts8Njc+rwerl+Co0nWYkXZ4GFkG - UDcy0S+6x8XFtOzg0AkD0WhOUaPerjvYDK7ArPf6w7m+sw4Afpex/SV+x7Tx9Ui1X7eQiolJWxp2 - VQPbwDew3PDO7/rm/QKzrlvi1JmVU/mxxsBvUzvfj9tpJwsBmMV3T7b5ZZ2P6+aVqrER2WyrPiM+ - KP67At0hK0Ie1pfTq3RRYCktJcwnsMJVoOxkyIB5zPZue3P87r93tOikmLln7dW2Rt1YCkzZwMj5 - k8VUXZgNwnEG9HtzYjSo5BKgxVtWyEZvQ3MSQyagOb/oc1d15uQwxwCvuZnMlY88pOIiNWB0Tis8 - bDcBGuUljVBy73rMHTb436RtDrDtrZzsk+Tij86Un9QBKYg5F7lBU3C2UsiJ4WJpG2Cfl6vYQ9bh - uabqZkrCpn/YAbjm+c1IcyvyYdwoEYTK8YBh/xL8DtejBidJeBNbTyTec0W7w7TRHLa7wQ1Rl5wx - 3JfgkcAmfH5/dQPB/eOzbZ5nvBLdr/GrX4KNY84n238VYJ2kjBkfyeQc3KFRneZZ03fXFvk0xxfc - Q2GQiOwSf2TxJ4DEWjVYEhZJzrD1KtHJHxtCKhSi4aIOL/WYDwKu28eAhuQCEdobt4Ho6OigMRBO - GO7DdkvsItuFw0q6R7DKp4Rt5v7FI1nFwMzLgmaHZRT2YzOJSP+kEdOsi5KP+zGulCoJTLoQTh80 - KfqhU99LWWVH9WnzoRf4HczQ4sQeV645bT9gozLvtiwuBBPx1SeUIP/KOnPiasW/7XssofYppx8D - lPYlRWIB6vqiYvnkTnmfvOsT1FCreGWEFlolC9GBnL8jYrlCkU8VQpPi31acmUpco8FZHwDFqaiz - zVyffLHvD0BDhTD9fhvD4Y1uHtoMQk724SkLZ37SIf9NjsSzzk4+9iiy/uDvtjcfPt9mh0Gd6vxC - ttT9hnybRQOQlG+ocnM9PgXEkFTDWjtEf7yGeLyqVgYzfyDaG0/m+zAdALxhAQQn+xufVp2e/N4n - li7Vs6XMHGx4NPeJeUBeYR9K+xIGSXwwd7PcxdyoMxsc/TOxTTOpfg0nt4R8fY9pMfdTbj9xgp6B - wLC6t612eF7XFG2XQkwXbdP5023TvYDl5Yl4tdr7/PXGFSyM1KOSnlz4eCycDrrd90o/nIXhsKPq - CRz9O2Fla734OF4qAezVNLCtEVp8kifTQst94BJyG54tOxphAW7VnmgWm5LPuWcaKNiWVxrS6ykf - gT5s1A6CTldb88i7p/bIkPUOUuI+S4t3V/Y6QIE8jypP7xlOt/FeoM+2tBkJr1Y81I8XANmsMdGv - QRBz4xxhuMaxS1+hW5kcplOkTo/NnWDhIiNGn0UByo2lWHi3Xj4eA+qBftMS2uSMmN2OLi/AFvuG - eJJuhKN5PCig7tMjs/unkXdmF91BFKOA3QzaxxPn9wEuqWay3biKTR5n6QmdPsmWGYt7aI6WqVXq - 973dz/spON9CdwCR5phYecZRJ1kNBVmIDOYH3ZA3LNIF6FLlwpxvt/eHTA9EZNwHn0SLLw25oSJB - uX5Xmz/40HmZYkN5vDn0edqO+WREKIPlYyFQiMKWT/fVCcP1cmrZzF9z3hv2AM36jJk3KXk8BkKy - Q+6TJ3hofCfkz6newQ+fvc/HbqVTeohQiyyV7W/nq8+O1G3Q16aISkYvxMPh3fwb3+Z+G0/ZyhWh - 1xqbGfXZjZdPacgAi5GI1Xqc+OjvYQf3OsMYrujjjx6vKnnWCwRvlRGxMtcDYF8nIlotLHxuveMU - hLH94Ka3dubKjLYZ9EmY0Gk9bsxpkK82aHlX/+FD43fPIoXvT4xsVOsQVkuhNkBUFh6GcYV8yrTP - hPKlOdHluTzF0wKEBn0lOLBkR6R2jm8EblWfKHaHOu6Puy5DbfHa0FrYNvlAmFIBtVuKByZewvHT - bGWEyVYjFitdk/vXpYe0wfsw/92gdmBY19AqkhRG6Nia06kINDCOV4tt88stH1pzNfzhA/H1qMVj - LR49KI+xQ3USl+FobRbCD3+owkrkTzh5TEoUkCuzw0sejthnGOU8j5hGlk/UmTW2FP9eRWxP3XXY - +eqm/MNnMSm1fDi/AvrD05k/G3z5ap8FuPdOoOWsRzp39E5ozc47uhQy3Zdwcp7ADtUrVr8IhX0e - mZr6uRcKubmnkTP2oTsk5PPulOiL+vZUXpCruJTWyWrXjg3uKHiaNrHt/sj40LKPiKIBAuKZQ5T3 - 8rK8o9f+qmFJrzWzP/eCAMtVE1OPnnnLd8sAkPt1FDzrOdSBGWuwDVyDyobltMPHiBxYpkNOXKX6 - mNy5LCS0/FwTYlI2x7uLRQgOCSG7oeQtPY6FAHnnKszc4WXb6ivlAoqarWjwfY6c13KU/Pgd2dfj - hFr7aaewdwJOsMZDf+Q4OMHGbxhxt+k9Hhl301+/ZLbrbFrxeZRt6AdbIj88rtabl6GKX7iQR+FY - aDKsd6P6J36my2Z6+OOwNi310roiHrVK5oP1WiVQXg8+zlaobydaBjsoHqimlXpI8mIpvDWY84Wc - +XXHqa1sBOi2rzVGcfLIC/s8ZshS6Y1tA+XBuSs+KsSek4J/+NoLq7cmn26az3b83HKeqsxB66vK - yOYbrlqWjLkCAkFLpk+nKR/E3XgB+V7W/+bfa2E6gYuPBjGLi+ZzFGkKnC1lRbTGd2K6Ji+Ah54h - 2pK9b0plENAfntAJ2jvqH+HRQvN+iNPwzuSO0QPM/Rmv6uKas3MpX8D7nD7kPilmzMXikoHhqiWW - p2DMqVuu7/AI9TNWq1cb07RxA/CnvmW6tsz8wcMVhjn+bHdFG39lWxPApLVPpkXHGI1zPUPcPCP8 - CkwVjYursEOrz0GiwnVj+6xchR7EqZ6wH98dTC27oGwqMOVv8va5Uh49qI6XDMPLW6Huqn1lGPSs - oSq3Sbuk9TJDRhJ86EBzyutu2nlgqd2NuFlv8jF9JiekNC/z1+8RS+6EAk+X7g9/49UlqiwQl0qH - hwfbtY0X1R6Eg3OiK8DHsO9zLqNKPF+wfP6aocT5fUKm3ayIdSpqc2xP5QksJyqZW1wmk4lIoWju - j3jZTKrZvEcNQ7jcTXSNtDbnydjKaNZfZH/nX8QVDAI8ijdjrlUUaDh4NoZIMgZGOiNAg4dfO3XR - XnRizPEconRDoTqeMrw8l2I4w2IDtnPRyHZzzzmnfkDhUeSMirnXx0OZ5JXKBu3A5vpvK+2q78CJ - FgTbQ/nOJ8zX8ONjWOaDEf/0m1KzbMccjb/NWS86sHyoAvHfq4KPsixTJMmfD9HxGfxxv/kUIAlp - xTa7OjUZkaLgz350W7rkg+c/ZOWXT5K82fpj6hsp+pzYCguvqW4nAd8O8JXThrnDfRsO4edpIFUM - nsy91DRnt0tsg4fQY+abBe+pfpxAPTxtKl1pzWd+UUJdFC3bSUmDeiTl3Q8vmCYsvHYSwy8oLg4N - Ks71RAV8DNCEpDMdbenS8psgiEgLdoRsTNdEbI6HogpxTF9+k7WzX5Qo9k1fEnOCIubnnBogHbKQ - /fKLSVvB+OlNFlxa0v7pb+DTjNlJq8US7GMBvWAcSL9cVn5vnzcv+Dr7M7nclxVntXxIAPXDjhDh - tEHDse8b9MNjXr3V8HMsHAqFNL6pKKPSp2aqOtCVak0nZ9P+0c+qN05v2tOL0YptHAMotz7Fa34C - VF27h4Cc5lETH588c9IJK5EWYEJ222cdsuhwTH74zWzNJ+H02d1sBA8MBKubYzyeRzdAa0tAxF+Z - +3bWhwfwHost2Uhpi/i39mQkPJwL8S5Gi9rS720Au7KIbfRpzJ828iC5037+3eeDFIklRN5qTeF5 - 9/LeG9ITjJ1zIO4iCszBei0SdFLzGx7eOPDHcy8B/PDSPUdbc6kb5gWU6XshXilR89t65z96jCVX - GiO+QSWsvWtE2OW+dNCndloLbcVEJ5qDmnBY30ZFvSfHnu1SNzfHcFvtYPa/CJFTnA/pS7uoYDcW - HpRv4c9+VArf5nXCip9s49V14gW8lUXMNCs30Xi+fWxwnXhBND2x0IqniYJm/4CO6Xjl0w6cAs34 - x8izvHD2yMMKRd5yzbZl80acrLcFPJeLnI74nPi//FZnPs/cc/Q1vzXaDtCtgwqL11CPOVO9+89P - YA7IF7/P8MpCU/2+sN1kWXHv7ARFmf1FrASoQ12w0WXFG1Qgm530jceF2Z3QDSQVz+v7tx/61asH - Fb7vN2KrTyhCtxowS7ZPN2b6ajr99D/RK/uEOH12Jejyc0eFMr7mQ6bfRfh8NQmvLzVumwrxCbJ0 - EonbGRoXP5fGgIvPLEK8SWwHAyvFT48Qc/ZjZn2cKbP/xTZ0Ycf8mHyt9awPCEnPLKzt+hqhZenp - FLL14A8Gngr4vIUI94dP4/eW6TTQIlslzsbftlW+PaWQ8PLDtnbrxzIOTiJslxCzOf/9YSUFEbJT - RaYc6i2f9GCtoEUIBdtfsGz2Mz9DtzLYsNkfRMPkgwFofcuJN/NBtoUugIndb0RXt1o4Gs/aAWFw - fbJ99H7Ogw831vo2M+ji5duIHypNg+TJfap8IjWcLol/X6sLrFFeyswfu8lylGZ9xT/+ZE6H6y1V - ulS+sHDVjfFULRXvly/4FbqOOX930Fzf5I/+n/MbrP3DIq7KLFO8ofwFVbeQmSE9EjSlEaXIZBkl - /sF7tyOSWorqlH3xdL475nDeORKaPKv85SuaNkZSIce4Xykf9p1P06ikQCPoiXFYyvFgW6kAqUhE - NvtjaFh4R/jVD11HT9ucqvcrUFYSPzB7XNUmm7SFrShvC4hhCV3cz8+HXSWaxGc7PR+CjavAzDdn - v8Dl4q/+fvlAYjzETBWuDTx2acKc5W3IR3rOG2SXhwv9htuvOU7OofszD/FiOfcn/tRkmOcRxK82 - GRqKfWohIzl8yN0ngtnEbFPCJTVM4jrQxsPCOpygXn2e5Byqttll56ID7hyO5HB903yQIihhNdIJ - B2Ex5KOSHHZo7ek3Qlb0HQ6bwh0g2vCY7d/6B02PXZ6ojXDriBscHVM8hoGDNE8aMV/4Eu8OSzH4 - 7YdYXGCtGH6uBnzVt4OVeX08abNAPbvqmTi7pveb2Z8AYxHe8OL8MUKx/14xHDoYmLvvorgP34ii - N82fxDidHvznz8nF2Jts+xK9dlhstxW6taf8p49ydhMECX2fxcQ2nIXx1H5Os99fKczLGTN5sgAH - 9F3xwtX3ZLdDUSgHJK3vHu4ji7X8tHRKoPrnQKeX1rXTa3FIIREyGwvqZoypItgn+GwLm23HQxk3 - i9NdgcdDkMgm6sNwqHf4DqGnI/zjp7zaZXcol/hNdu75xcdJEmwI+MPE6maCsOeKc4f5feI0XoZm - 5awjAZaahJmDyBZJv3qIP3eF7Q5iGXa4XmvAFqQhXtVt2qXBuaEeXPf68798Pr5qBc39kuwnWvs/ - vaiql5PLDoc7Qd3PHyyTU/3jE3ySVtvohzdUsGsvFpdfS/rDn8V0KlHvHtwdRJF1J7vnNJrj/DyI - Q+XFtHh9Nqc7lhM0+4dkt3+l/uSn2aRqZE2ootwcNM+fDPXHBzBKTH8o3kz4vR863K6lv9y43gFm - /MYQXs4xe8mNpPgYJ8zayfdwyHrnz3yKWfN8aeIfL4OV/UZEzy/fdhCCV4G8cXgzywjOiKPIkX/8 - luhda+U//Yp8uaA/P4D32+5N10my3+Kf/uW1cLdg5rtMB10y+aVbCyA7x4a4fpvnY8pLDHSUPlQs - 64CLxf5ir3/+hZ4Yi3bEuRlBpFGVKltLQ1JHX9I6lcsHM+/iDQ3Pzi9h/3Zatis14s/zlhJmvMLy - Wnj9/L0JqP49EBI9ZXN09UGAcz9Rtqu31GShZpewCY09wZvIQOOijgalXJwfs/5AqPLwCyuK3uzI - cZ4X8kceV9C1l4DpdfHJu6E6vf6sf90+Dkia8Rny7yZhe4i7fI7/HbnLzYHoU7f2qVW51vrbZCey - 80onHr44jODUZB/ia1+bL1db1/ijj6/xSjR/fr4CoaUxi3ynnC32nwDh+AXErpQASfXt2MBxI1bE - K7ZL3uqviwODZMrEU24VGp5H2UKK6ZTEYf7U/ul33/2RU8VUdc4122uQWCcDM4111LZ1qSqwNE4V - s+zVp53x5gDa8dYQRz0kbXMOVgl4r8OWHE+54k/33LugYz4JzFNfW8S1Uaaw4PGJ8uzl5GMemQYQ - fzj+8D+s6TmvfvNb2m6uHLEY71J4PEAim6u18fswVmx4BsCYVvWrdkwOePrxIWbM88SRsYWDrGyQ - SXgX15wtb1GhznyBvmiO0XTaqaKSd8KTaNvNhOqnJL/gN/+wi6yLJz9tBvDNAFF6uvRo0B0ZYJ2h - I9OVaIt4StwJ5tkelujg+RRx5w6yEza4WYo3cyyWlQjBOeuJLgw4LNtPooDoaRozFX4Ipx9ezfMI - 4n6+t1a8fW8V1A+yx+InauPx+/FLSO/VltjPPQmnrRodAH2Ri4e53oeBpg7qr1hgm+37Nw9ce8Cq - amJWOtlo+rwa4ccH8CQ1tj+IbxOrf/9OBfznP/766//8ThiU1SP9zAcD+nTs//lfRwX+eX/c/ymK - 0j+Z9OckAu3ur/Tvf/37EMLfdVuVdf9/+6pIv93f//oL/pw2+Luv+vvnv13+x/ys//zH/wMAAP// - AwBhiEyh4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f6e3f481c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:47:59 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '15' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - bfe6c40887a35d01d4e5d4124addf131 - status: - code: 200 - message: OK -- request: - body: '{"input": "A grocery list containing pancake mix.", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '115' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SWS8+yzpbF5+dTvHmndiKgUpv/jIuoXKzioog9AkUU5E4VUOfLd57nJN3pSQ12 - 7WSnKvu31vr3v/78+dukRfYY//7z5+/3M4x//+un9kzG5O8/f/77X3/+/Pnz79/z/3VmVZo9n586 - /23/vfzUz2z++88f4X8r/9f0z5+/eM1fWDi1OB0eTzfbne93iwrjPki5SYUcNnJwxnOrEWdx9VeA - NqNoM+18lQqeSZkAXkJGtue26fRNnruwoYeaWPVTKrhhNBXwmY505y7gzI9w/iDlrGe02UVqwTu5 - kuXf+e1qLztNsW0zpEbqzFTv/nGWcdM2gCoHE+s+julsbnobjrrCKaq6GS1jHWCo7w3Ga6mSisWb - ykZu1E5ghiqUzvA8ywKQteWRQ3YX++H4vuownD0Hb6Xw6Cz3zbVB4WaYWWA0QUir8b4F/Dxg3Ms4 - RfMh1vdy9RQTuhXxYozvh9nA1VTuhKQI8X6zFhYorqcv0bWOGlOk1RkUT12ikja8woG3ToTS8pMx - xz1+0dQGugya8JGwtDWWYnnNV0BH5/gmdiLW/eQnkwqP1WvGdX9zjeHxOHSwOPsdUf2oKeZm2zyA - H2LOHGe9cXjvLqqyDvyB2N4+L7qFHDN40/BCiBrKiNF2sUFRhR2WrwMKp6J+uCgnxUJlb5/3S5G3 - LgiP98DOSmEWwpPeKZjzCbNLXLwR9fKnC48bbdnBFEbE3G7KlLTMM2alvd/T9bergPDsi5Fr4H4Z - m1iHoTk65Oi3W4Mu3jmAV7nyqMgsbrSvaW6AHXDG7LNWG+zquQsw/VSTw2aNjGW4khM4C48wysuX - M9iTdYEjcWLmYrfqua9HntxwYU233sYMxde0ayDS8glvDeCcNV68wFhnQHTy+aLp4Yoqsj2SYPFS - 1c5SvPoY5UbdkfNjiZ0lcgwZ1tlZYMcu2BjDgMsTWLuHT8Exr5zu+i6Ax+o541kENZzQ2gTg4lLS - pVi/jAmPTQzyh1V4OU4q56VWZrC5PtcED2ziw+8+TGZFCPGxayz8nXwQ2yUt0XrDLiZEpQ8op9Em - +9N3Y7D9kwUyn1c20ThdoTnlSQmnsX/iOUytkEeBmqAEn47MwabtzA8hjqGPVIu9xHYyBpbcdGTH - 1ZcYaVqnzKnXOsBdCskxK610ypGeADkiTBevMPiEnzFAqFKXCki8p1NYfeT1I11yduwiHHLrqa0U - eN49YvVf0xC0I+9QWKRPPM9T0s+yIGLI9OTCzk+WFTwQ9BjOd2fAh+YchVP9nQ+QP3BA1FF/O1z/ - OBK6gZsQMshlv3zlegvZ4eEw8/ae+fBcvU+QfY9fYgzKlc+r8vRAbSKWTG1WLZ94a0RA9hefXHKf - 9QO3PgHypO2ZPLY3wWDOzg3A0jEhRhxTY46l3QUuhXdiMbrs0Sz0vQdjeDfxDvSsn1jyUlGOjhax - tD0OOZWtEiLhlTHcjVfnI57LC3xXUGCxOew4W/VvD27CxSJn8fbiUxTAgDbHvc70jVqktOu2KxT3 - F4rD08dHG3OUKEKfi8BeF98sml1hdNAWeKIbb5gLljq6rMhk2eD23kZO71jhAr7PzuQknIWQN1RQ - Qa+ZRtzVnRSzLCIVAnduGVHDhC8hNQZ5DFOTrjw9Kei4eTfKsL00zBjlR7qU2skGSfqe8KdxTGdR - V8RGXtVMuNdD0+C/vFDdB3YsvkeHE6mPwAnlF8Fdq3Du2n6lXAKO6SbLA2Nxg2oA7PUuOVxGoxjW - ykeC6CrsqWDXS7EMIlVhHYQD09/q01guTPug7KFITBMhT2mxdjO01x3CDkHtFXSQCgGpgXujUyml - 6Zz6ylaut35D7Fu3Lqbp6T3Qy+uAzm7sGROXvRJlb4PSx+pZIfr7vucLn6hMwEdcSS4q+B98pDB8 - mTOceL6HYHtT8U6IG2dZX8OT0iabkrn2iaXzmD8pehRb8sNvjug+UxfIH27A9PTS8U7ZxQviu2rF - zDwejEWxGg92D8kixtVX0mFUvQsS8o1GiFAio++fVgbrz1KxUz6+i/aLtORXP4nVFm0x15G5gvn1 - /jAjjrHDfD0KgA1KhUV6EsNpgl2OKr8XmUrcVTgKro6V/twozF3dWcHf5RDsfvyLeMKE0bQLFx3y - FESivfxvPy6vKYaBjWtyPhyfKSeHRYBXXJyxdKQy4sHel1GbtSvcz0Xd8w05ZDD3qy9xKmoZC742 - J3jOu4S515VTcCyOHxSc1gQzsfWM6YwEDF2SLcx1sR5KxxY1MpvzmGnfldhPzHVcqKf7jfnLHIf8 - BtEH/O4Qk1OaK5xOpofhGGYj22+lW8perfqzP9KeEe0SF503lR2sE0fBFTiaM9mke8jvo8cI6QS/ - YM7pCr/8Ubn8zs7yEIQB2KxlxHxfl2LOGBeQGgWYnQ7rMV1gGwDyqnuIFVZH4TS+djFsr+aZYU+X - izn9mBHcig0h9nk1FlOTR3T3qwdqs7L49JG+Apglc4h6+L7TZRW+cpjK14H88set8/YCr3LgtCix - nc5UFTrlLTU5nhN36ukuTSSoBTIT0+Gl07tJq8JQbyhx6QuMsTOepbzoikMsH53Cof7u9rK7qix2 - EJVXMWhtHIHsrJ7MFnM9/eUJjmm0orsyE/qhuhQS7LytRuG2jft59A4equ68wKhb8pS2935AjtzX - 9P5iDZrEkk7o8y1uxOzNFC2T6bnKEzPM9k97xSlsE0BeN9TYZfmdz5Zou9AI+weezT43lmR3D6DY - 9z2zNqkWcmyKOrLeUUFs6a0a88uPq11x2Z3Y4TBf0uVc8BW00Tz++PnaoIdGkRAN9RBLorozvkLf - B6jdfPaEBKRFTeRLW2gDJuF7lXvG1PrnA1pTStlR9jQ+B8O7/E++1B7YTedm03Xwk9+o554hnPJ+ - OymzcVOIZva5M2pxHaMf/8HwFY58YghRKN2kxitUEoNTKwx+8yaxAqgMqq6ONoom+c20xJ2KZomR - DN7n9mBqZgrOf3iST7bB9h/nUYzJHAEcyj0wlzdNOCD8alAN1xdRZUkrBHvSLgrZR/5//IZPV2zD - PLg6RamiobL1zQMI3rek1TO+oSF3/C1qKUrJKeu/fP6cZwHEOMqJO1cuH4pN0cE9ahpyrPCL87fp - YHhKLqXyt6KcS7T+QJVoKjs9u5MhRMt1gvm2pZj2NEA/+gNwfMUinpPTPZykWzyBuD42dBvsVCRu - O9WWg7NxoMLl1fWN1zqCPA3XG9P2nZ4K535YQLnaZ8rLQOsFUB0BrhbntN6RvbOxlEaCn/+ju7ZW - uUgDbascBrcj9l2wEGdJ80HhPq8ItqMm7dM0iGDu4Ut0o1lS7tr36pcPzM/1gUs/eQm6KEZsX8e5 - MZayUcE1i0q8zjTKl0nQtxBu6Ey7x6ZI2WGabMCbfsaLFSM0kukUoeo6DrTQRA3xg+cHaJ0R4SfP - nvko7/EWSUai4N3avKFZNvcURG7lRFMrxxh7wdmiQBXfxKhcXCxnwYjhhy9ycGS14CYJM3hLqcEw - FY1ewqZH4XTotky/R1WxrL9dCW9qbNhRdrtiaqfKRm3ER2bUvtFPkT4GyKNvja5/9GRu6hBDU/d3 - fGsuC1oCuOVoXegG0z9awn/yX4wyZTizq02ZMRw/iYQm4X8AAAD//0yaSQ+yTLbH9/0pOu/WvBER - qEPvmEWQKgXH5OZGFJVJZKgqIOnv3oGnc3O3LjCp1PkPv1OgsR28jKwPAy0FoR23zDwez4jF92MK - g0KCKS/W5lAoTIIiHRaUemc3Hk+6BBLxlzYV04/lr0y0VWY9pOiyGqPpvPbqvn565MQCL67ZaFtQ - pvcdpfYhikclaM6oFcKeyoYuoM70D3d1eN0DFtieOHLgiouEwjuRzZeoTUMcRZQr64lJ8BZJNJwV - uMP1sl/TpVh3qE8TPQS3+DA8pLqCWi8BC97Hs46F0ekQP9TbCpRhaRJNpJE5XNoql6MmosQ8h7E/ - vq7y5H9sicXubDQ97rCCErk6M+sdXGNaoo4CoiHgX/mQxmEpwA4VZXHF6sZFJs3YIMLhADXZTn21 - e+QaQB2Wnz/f59U7ofBjrsS0JDAaUZJFB50DeiJ67eT++8ZAhKB7acQqL2nMy9OnVj3LFJh3bJ5N - rxRZrk7zjaVXtYuGpWVLkFm/hiK4lj5fBsMRzEQ1md+/eNx9V0xDsubXxGi8jZm/fisPPuZOYkbw - GE1+8N4lnINEYti/lGaTruQ3GmSVk22kZmN7OfIzkB1O6ZBc8mhwJPKY9RRLVcyi5mAkIRIK98SS - pkZZf9xQD5h8/ZGpP5u8tB5XpdIqgUJsvv97ntnBooT8xghVF+stgfwQthTKlZ0J+s1VYP7eVri6 - Pts+twtps4k2xMxxHY3Vq76CrTpnLGD2MevDUIUQLYUXeabC2FDvHCToGm8OU996R8NeEzww1bWC - 7/nPjccr/tXQv/iSef01QoN0u2DQ7kebPQphgwSUfC1onsqdOfvi5I9x3SzA3io+XrlC6g9j/wE4 - 0VKngjw+x3aTXWvU8NWWebpfjxwlzEFMDUwqSpsfmvpHgiDwR7x8quvslzAkoCmPUzmhvi8Oi/UC - th/boaWyLaLmuFyFcMmdFsPWr0b+QN9WsYwtIebpJDR1RlUDzNfujQf8cf11WqQWGPFhQfx1kfk/ - OfsuoNWdkkqWlWbMCi4C6uLojJfWZTC5t7wvUB9978R6B1LEb5p1RG9zvaHDsllnnTs6Jbp5TwPD - 5Bf0mCiO8n0mFRW7sIk4ix8Cco2vTizuZz5fWRsFLoHj0GHuy+ZISqTxVc/8WP0gLp7vAFL3uOK9 - /lj5I0qkEsYi21BBXZpZFw+PAVycbXFfO5bJO64Jiiro1pyf0Xy/VaXsn8xQuyhqy2z1QIOx9DEX - OB77/Ja3oGyUEkvXTzxWmz5/oInvMDs986gTkNKCnh9uxDKVNBsXzSeEZnv5kaD7Df5wedxcMF6n - FdNa3Yxo66AjmvSfCtzPTJbziwebC9eJNWw3UfO6yneU9NzGKxbU8bh+Ry0Uy53GXs7pHI/FeC3R - NI/MX5y9iE16BY2dEbJJKy3j74YPqBrFJR1h/YuoJC8ctNrvhikvNw2Hw8ECrbcx82J6Rn34uLtI - SbuSCqfHwRwGsnkglJ4FWri8RnNeBGUjlcRc9GLcPrFUo31Zc8zDiPhcd+UHcjEvif/Olz4dGD0D - TRYxI3clMduWBljh28phYbZ8+aONn7Xi+1k0+6U/7DXw0JQvSDrxre5PPiwTk1zjfGVS51pegTrf - PRbfL7cZ1VuCkb9gCUVF58djIoUJiItWZL5Q6n6139b8jz5zgVPEu2WYqGe7/NKxUyCe7zsoPjwJ - Pnpbs18FroEW7KgSc7EKMk7Wr3o+D6LlYhyNp4ORgz8a4zzPY7+WogVM80icU137HaYWRU/TyIjD - 9qxpQusmgfDIWqI1WhFz5pEcfcT6TfCvvUR0491LKBSpJeZouk0fG20I/sMIiG4WgdkevKoE571P - mb+8uOY4bLirRqwwiLPSbuaY84sLLVMfNFR/D5/xk+PCaJS3P7xGhPXJg9BCV7ILiGaO/net/eFl - IVf2zVjXrwe6OqPKdON9NfnKDlr0yulIjEUtj3P/BqPVTmxXropsWJ5iF4Rckoglj+pIHwJQyB79 - bT6fmH8L2YG0NA6UyysTrZVd8Ybs5BWT/kf+mB+QMuc/YuAnRz1ZHhZKv7kJtKitZD5/DZjs79jc - 5+nUX5R5vpxzs0H95PfSgFFEVy1245ZDn6rph6p/+lE9hpoEe7M1iHNpi4ZNPAhYuyyZr520sZKF - vYLcX1EyTX+szJ9THVLl99U94k397HvZlQZCdA+4v9hLNMhNukf3/hgR/eo8EVvENxF8seBs5nUs - jLI3SJ/3nh2mvjGy+zuFVHHcOe+isXq/sboe3BfbbryPyVTPykEX3iLb3XTbbMVvhWGazymv0WzS - HwUsuaZE2wWPeHiK/AiWp7/J7r7cxrO+K8lVXlIqFYE/3L54p0z85L9+ZQUvAeXokDDjkH+avkDb - Kywy/4pVj/homFoT+AqyiLHWzLi7rlCKOJe2FIav10h1dnUhvCVbtiHfiauZPwdl2lfAQupDNs5+ - vb59RGbe77+sjU6nCuwqKyif+/0DuhSuF/OOV0vTaTjs4xAmnky8p/Qx6Vf9HeGkyymxlSWJeuMn - VKgJbm8si/esaUWxFyB4koxCX1vmmucXruxDe/mHv/X4sUzQZmPWxPhoqjnaC+wqt57Zc5+JR999 - LlDXvEcqf5/njO+l0wOG4QjEJL80Gr6JuwfzvD5N+SwYxZmP7GmmMx8RuRm58MWgnY2eWKDQZuZJ - YAdtQf7wjc/TfKCCMode79klphH1W8QqxOgxP5Uj8yUngfLwW1GYeE/f5EoItHF1dpy+N8hNvUdC - tWBUPWmROYiJnKOJf7OJN5rjISyo8tpXQNxI3MRz/gb+rtu5z0e9IeMQGpu3zK6thdnjoBMBnlXH - bFn3/aZ3lDN8A+LTPnpp2apbilxxcgfoKn+YMQtzPsBnOO2YsWwus/47aJoPorV6FvdNIVnK1tgR - cjsgN+4O/k5BbLU54fVGLdDUjwEew+dH7jox/GFYqnzu3+SWJ0I2fvHTgw1GCMN3aE1e7cleaeyh - Ja5ta9Hafexc2FzSnG0cqHw+9UeVaIZKzF25NUVpu+HoGi6zeX9j8mcXKYBRVxFy8AQklt1NAZFc - bCxw3zTFnxc6avelN0KmvFF5zH+jqDlQumSyk60+TzOBZls4LCiQFfduVKSgCagi9jlvoj98e7pf - E584Nj3h7hEZl1dOB/9+ibrjeT2A6y12TK8dy++3p5+LgmeQMXI8FFnvmmcLtj8s4O95sGJeD58B - Wim38VI/StN+RDLATJYmXjq3rhmiIBfRNL8YxbLXUH0f7oGMxKXjOUTm1B8c+J7KC9FqwGZvbJ8D - vFrxg5NIfzR8L0chYob3JaYxuNGgbt+hemH9hS7ca242c5+c+DnutTQa+0/zCv/wSsEt1v7gnYMH - WjSRw/ytirKujjpDLkxpQ+5ttEBTv8AwenRDLEVADb1v3xzNeeR0+uZoyDmv1LN98ZhuFp2fiysw - IF8/LWZ8jWs2tOfdAi1QmmGmUNsXrGN+Bl9cB1i0+bnpTz9PmPMJXklqNI6P5jPIWogvbPN8HaPB - E9sj4iAcyHORm/GInsOgWnJFya5Lkrid8oy6870P8dVT27Tl6VfD5LfY+uCzv3Kq2xum/EYmXtv0 - 8/2d9ILtaDbGuRnRFCI0VGziLSYv7RDP/JR4q3caD88isyBfky9NhcUXjX3xzEE4xguaZNChn+HF - JeJtLtBa34xZRw+WBbx6q3jyQ/RnH6QH6Z4R96VlonfxQ7jJJ5nsrto3Gi67SWnj83m6r6G5Xuw0 - DJat/pivYIR65ZgcUc42Eq3rJkMzf0ETX2Rz3urcDBYw67tnuIeI+ZdvCc+VeiAWtbnZj79vDfY7 - XpMde8vjaCedpUz7D6aZCc/Y6liJsK3UC9nF5jvrnKtnwS9pFnQZI4SqOW88o1Aj+0ZtELeO+RES - J/EZziAYh/3BzxFBm9tEDSIkeuvaA++xTRmWfnnExbK+z/5PAki/6Fdd9RK+cHnh4XU1/D5sfzlc - moVK9GT/HfncDxfaY0OeI8vH3tdWnqLb15SZXCMR3/9Mcd6XEaNw/WaVdqECY3e74lVjx2Mn3BMN - 7WmUkw0uFw2zX6kEU57Hw+7VNu3KtluUfc4+leTzOysI185g9mig/HB2s2GR0QX08bOh6/ahx333 - eknI6jMNy+v4E7cTDwCdtw/ygLiJB7zSd+i73R7ZrJfNTjEcyMctJ8FbcbIxOasDSrzUIPoz0qNB - 17UaTf2RKrrvjZ1qNAM8L84dT36BfsyQwtkPKTeeIeL+vgqRQn+UbavSNOd9rvwNAp9cutsG8U0a - Cuq0b6Njjuu4D6HXwGgGiRjB24t+Uu26YOvDkyqa1/lD4S2vf/hh7n2HZs7ncA7aE9s//I1fF7Ej - AlmnD7ymdzsb0VMZoI+ENbOXZtlM+i+hLqtTsp39+QMuhiUFn+1IkMelllAHLnwfTvvqUyNagXyE - +KjnU57++b2w8zCoJzegvVUbEQ+als98mGiNfMz+9EP5SOM/fjbIj2sNe5MazMPLJu6FOBYn46QU - T/sitmbFWf1rfhXw73/885//M78wKKtnUkwPA7qk7/7+v6cCf9+f978FQfybiX9eItD2/k7++td/ - HyH89Wuq8tf9b1flybf961//hD+vDf7qqu5e/L+f/zH917//8R8AAAD//wMArJLFo+EgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f6f5ff11c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:00 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '407' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - b76e7dfb5eca1312635b74b2dac6c4f7 - status: - code: 200 - message: OK -- request: - body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following - text, covering the topics present in the text and nothing more. If the text - does not contain information, describe the type of text.\n\nText: \"\"\"What - is your favorite color?\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": - 500}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '320' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SPwUoDMRRF935FuBs3GcmoHWt2FaEKom5cqEhJM2/a2ExeTDKlMvTfpSJ1e+7h - wB3hWmjYPvrqaj7vXt/SU5y4F6/8bLh5uL87b8rs+fv2ERK8/CRboFFoVxaW++ipOA6QsIlMoRa6 - bqaXdV03UyXRc0v+T69as3XBukqpi4O/ZmcpQ7+PvzM0xEx8DZQPQWHyxoWV6DiJzD1xoNMsOrPl - 5AoJy57TGSRcaGkHrSQ8r2LiZYYOg/cSnQsurxeJTOYAjVw4Yv8hMWSzIugRMXEfy6LwhkKGntQS - /4+O+FqicDH+CBq135/8AAAA//8DACFzu+01AQAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f72ea321c83-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:01 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - text-davinci-003 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '756' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-limit-tokens: - - '250000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-remaining-tokens: - - '249500' - x-ratelimit-reset-requests: - - 20ms - x-ratelimit-reset-tokens: - - 120ms - x-request-id: - - a2687565593a43a7132c994730618f24 - status: - code: 200 - message: OK -- request: - body: '{"input": ["What is your favorite color?"], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '107' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SWS7OyPBaF5/0rTr1TukpFIZtvhlwUAQkXReyRCCIgIpeEhP7zXZ6vqrt6ksHO - HuSy1rP2v//x8/OnTav8Pv756+fPqxzGP//81rLbePvz18+//vHz8/Pz79/1/zrzJs2zrHwXv+2/ - m+U7y9mfv36W/638r+mvnz+WWYRYD5nqEEyuLpCEr+jeyQxnvZIOJ/BOXKVeejVS9qr5BIdyeaEW - yI+e6e3SBzk0XU8OHibiVtc2wEqXUtU5HPR1loGFLoeceywq1ymJF9hG6sm2sSWG754PnX2DkJU1 - xa49VuPoPw3QpWimW6IY1TQtLxpM2cXAhtbuEb9iu4SPtb1Te9SW6WjWegiLD12QmoVdOvJsJugq - 759061KYx0VmtZAcDhesuusHai3PDIFaj5u3qfJLTzanSkXRcu0RJnZFxeqcTHDYR+C5KKzne7jS - SqWfmicR96+3wzwDapRjocPacO4d9hJ8AwVvscbmMo8ibo5iAxLzLnhL2RV97pKRgywceo89lXXE - tZQDkCGRsWXcb/3Eg8eAkoNz8cRd8pyZvRBdQHmZUne1mHsGRd6haH8k1Ol3XvVx7+JGKhbXg8c6 - XU9FaLctDMRVPZlgqZqNpBCUI5bPXne4SmhaPVMNWQO/EyQfy2pef9ITSNp2TZQrFpzJu8syonUl - e6P5TmZezxcD9EHXqbt5dFErRZYKRx471BDdvur1hdOg2R5yIm5Nv29HNA3waW8udgsmORNs7gLk - VzDx41K/It6R+aYYJ9Ej72NtI/aq5UkOj0+CTYXVPREEMYQ7u8d4Xy26isPKA/hMy7cnpQDVZLYb - H8VMTah5OdOUBZnhweLSykSul3t95b7RBrqeiGSTZHjmTPloQG31hp031/p1K0ECybXcU/N6j3W+ - K5iPouyt4z0ZScXF60lDXfxkWG2Frb6813cLatZ6X32dIqrZVgfOUw+wezzMiCmqqiorO0+wyS9D - P+kyqWEfnzlV42qrj60fcfBXCfWWQ/Jx+KsJOFSXV451hvJ+PudQyA5Se3z6uEI0CcftCQK1vlFj - zYuZzmcgYN+dBnuFukVinNQFyFXnkvnd2JUo9DVAPmxt6hRmg2YOlxNUdkwoVqdz//tfm/c61zy+ - UHydN5Z+R52RD9gc/J3DcNO40PGdSw+L19oZcLLdQHIt9p60Yqeen9qwXKiJ8KAWS5robz8PBxVh - YzNo0XprvVp40PMS65HwSmd/45boI2cBPqzYsuLl4WpDI2XcA1wJ0ZDtjiKIGdOo0fGo4owPGvjX - E8ZqaAcOT8ZkCXNkSfRIsqRq0tfCAvFx0rBvxV41pfgt/s2fY6IlM7seqxLel32Id2/r3L8/T3n3 - +94482TbYUnSlmDpixB7UZSkUxD5G2UqC5sUXrbSx6A9uPCA3YOaJX3/rSdknWKNrHeVNvNoV2yU - l7dRqK4ZMSKTTW5y5V5nIh6vn5nNi/EEI5CzB0Ljz8tlKA8wXxYeVXNG0tHLAxm+/sNbe2+gSeNh - +MsfT87fp2hqGOzgbn0c+n3PlJXkziF4ZtgTANcRyQ6OiBi4B8LWDptpPTw5lB9F8OR5ReZRb5ch - tN0V6FFmbK7dBXfRstUqisdhm461k91hpwo6UT6wT8WHS21UvpwPPiTnYaZ6eAdAEwQ41UBDbHU4 - ETjzUqfGsol/z2eg3cJ8U+vcrRy23KoJ3DYvkXp+oSC+5lIMK9lWsMp5VU0k6xIU7TEhExsX1Wx/ - 4g0ElYap9lotIza01Q0GsUupiq4FGhtEE9izzZHufeNZzQ9vZyHLjt/YKrsynWQythAdBMETAzl1 - uIRlVeYFNbB3GayUBe3Bgy9/ieg11OndS9sgNXzZXvV81PpUxFsLikagdO9eXj1DiR1DqCPDk57T - I53GMkrQoRQvFOduFrXXDbJQXLotVnU9c4jQ1wJc1Smk96qe+3n1qDXoC8yokVyieWjb0IDhuPIp - bnmh08k9JuCdJhVbGqkQ2/I8hOaYhuQzdyMaksu2QHtxKPE3L6vJYVcZUTrW9FBoLWJD29/g8aI2 - tbafxzw7tJP/5q9j6oeKkpVPgIb5isje4Dijs9NCxbJPb2pftwuHjWudKE8VbAIj26V8YWoniKS+ - wnadrh16ql4F9H2aYl0u05lk98xCN+w3OCg/Tso/RbpDt+A8YPvL09mSXBk9zelBPWb56ZiRfQ7j - pfI90Qkrh1qLZAPiSj9i9esnthKdGKVm/MTHKxb0oT1bE/StvaO7886c+c2+lkjPeYR36dGNlgER - CjmaNIm6abxLudAPApwukY61tCgirgo8BDWblthMsD8PH1ufIAsvDt5u2Dua76DdIV5GI3UPqzcq - Y993UfKE8ve+OkMG02C8n1/UdbSjs05vvojkWHpi9/LpUoJPSIbEuGh4u0wuETdfZQjXyt1j3/jw - nlqPd42+eYItG5hOg10tw/NU4y9fOmfeWmMrp+iW4uOk4HSazMJQyG0tU2tllinfFr0AQgYy9Tgx - qzljxxxQFDNsjX2XjtJ7E6Mv/wjsLGdem3LYyLRDmIyjP6dT8QlzWNXKBh8Wxgt9/XeD84sl1Lm+ - JmdmC0uDrx8ovjiriB8Dv4EpKSgRyUGpSF2YXMYaehGRndto3FwTFeogyLF2v22RqFmfFmJbyPAR - LvtotERPBq2SDSJrbDuz7qbvUOZRE6vr6DTzeLG3YGfyxPtk2HP6dYVjhO/yguq3xRhNY/cm8G7b - EMdx5Dhf/fvrEuc5gVgR0xn7noyuouhie3Mfoll/NT7Kk9QkbMP26TQb4U0h5eRTHBgE9SY91+jV - HCyK96A6Iz0ZCTTO6Uj3yydLJ/lZnJTLRBRsZRfmTEE6enAju5iUOqcOE9ntpHz5+cufdCw66Q6+ - SWx8pJ0y961q5fDNRyIeogyxJClKEK72Cx+tWe/ZWmo6IMjrvOHrJ3YPP0tUEt/DuoB6NAltI8Bk - bDpCj5cQEVebfBicySEL5W1XU9wullL/5Axvb9UjmqTmGiPtaS+9ZWqTdG4CgSNVWp2wmR24Tk16 - boB2EiZKcFNnXn7eHPJ8uuGdVJ0r1u+kCalC/8GHj9hH80nRRGjGSaP30QyjKYU4h2MST9QSJGOe - 9OMCEGn0F5nXcjXzqtc4QnjoqWaaRT/bR8lHx2XqY5veBcTeZ4NDHUQ5kfd95XzzxZc+J74ngmP2 - zgeia4yWjqCTqZcAcaFKOvTSaUS311h2KIAEKDKtD3U+xTVl6yaL4eFrqsftea0zqs47UOzOx9tr - fHM4+8Lqeb3V2HDwS5+yrrBhle8ybOApjpiXX2X0MJZn8j6syTw1ecfh8HADGkTlOprjHXeVZr9V - sBlbnT5Zz7wBTX+eqLYEKxof2izCV09YEyYbrc4e8371iw0TZjRvtImABMmWpk6lOrOqBifFgF2C - D8bpUrFkubMh7bc93ZFDVs3L7qkpelR/SP15eWnnwuAi7gUeNnZnHXEr0H3AfGdSTTwc++W2kgC2 - gfmgAamX1RQQsYDn1FG638jPtNOVoUHfeYD+zncMD9wF5/ZB2Dn1ZJ5NjQhgpGNLLWmh98v2rHJ0 - mQbFW8lGW03WM26gCFjnBYIrobk4hRZs2f0/AAAA//9MmkkPuky2xvf9KTrv1rwRUahD75BJBqlC - UdTk5kYQlUmZqoBK+rt38N+5uUtxARRneJ7fOYRKs54b99vDUUH9yWMx71s+uEYeQJJ9K3YwqcC5 - XfIKka/RzPpr9Kbo2r1Qf+wQ+fm7QUwyDX56aXU5k3AyN6iAx8V7EUd2i7Zfid4JFmrn/XmfofWZ - JYcI58zmFqCyuesGbEwrI7uvf9V/5wvfFz9SbgbvfPzWkgGXp7AjBwvdvTb+pC40CkfMG+Qx5g8j - EsD4piHBbOu040OIUzTHO9lCmof0d/4oPI3MbCOjncjXxBAe4xvxnziPm6HwOtA1vWb4aHF9yE8o - kRbV7cwe9xWPaWsHA1pU8Zlu7nqpT8i6qiAfd3s6eI7j9Sc1kKE5sATz+9KPeYnDBIG+jcj2KQbt - 5Be1jK7vRUanub4Mh7jEoFurBc385RvVzvotK0y0ZOJofsDHzxalgG6dxbQGFyGzS1TAaLmE5n5K - +fBRTwmU9vvLvPPmpA/u4oKhLkxgul30OVv2HsCvnhjCsoqnRR40QBqPEcvpet63ljQBQZSx7Wh4 - cbvneI/4tpTI9uqc0BA+bIyCbSzTpZ4P+nQYIUP5cK9nvbHknQlOBZuJanS9rbd5fXFVDKRxGNFG - sg+5lRgBekifMzO3ld4yJW0b5IdZjIdr8+GTaLkd6Nn9RoWbUuuDjc0AJPu2x3WEK28s0mpA/cFB - xNKOK86HvX+HnpcDlryX5q12vVwgL114xDjrH949qZ6ic/PpMZczxDssBnvkeSeLBHz5RdNb3kxA - vZdJPC9/eWOLoINfPATbs9VOv+/76xdp/hnbsbl7luyJOCJu4jucX765ABe0+dDOyMS2K8TSQptH - Bsyyn3b+q09ybesJ8aJD4fHC3iVwMZoHzs9d4g09cQ1QpfWJ6LgVdGZq1QLeQbikbKvIiL1JbSPV - jO7M7ek37o52uAFg5oqpn6uXd7W+nhB9+wHbTfemHcH3IzT3XzLXm3a47+IXunyDjOwG4Rz3UZMK - KEdFSEXGJsQRPTSK5sg10S/HMaYPbS2CvYYdw0/rFfaH4ZzBOjlcqNjFH69f4FekNBulosN8/9Vj - VwiQhsVAyOQf22HrnhpY1v2Sma7/QmP6dl2gahQz/JVzrw+v8f7He+hwUjy0/umZd/yo6b4fq5hR - ZlAFvco3wftWbXkUrl+/+KQX4qreoD1tkPf2IabL0iw8OjC7Q3Grt/gh5kVebblyBPEzPfAmiupf - /44QqhYivfr6hfMLfwlwkpFNzFV7bek1ISLy7i36nb83ZrGeAG7bOzG9e6VPa2R+0ccRMvac+/Nw - 2vQiqreuRsUSDTFbQ9EgptcmLrG20Of3w9Deooht97ht2UbbUCRmC5tYd3Wnfzv1PUD4tHU2+zne - y4PRoPblj7SaeRD/6cMb3m7Jfnc+6HwbLwBZ5nBl/mo95LUZSAtA7iaiMpGCmDf4NcHukD/oAogR - C3O9VWY9jKe5P4+dZg9olRoPor+fhTcc3xKGdnUXsVLDJx5M4wxQdb7GTp/0k7/tTClggao7XTyt - V8zXUHzRnH9kr27LkNd0fQVabUtSrpU3536lbqBeHioSzvogezieAD8eYoWvIB6cTCrASvFEnJCy - kKJbHcEgxQVzjm9XH0gb7v/EhzM9vu00fT4a8DTK6dukJzRmu8mFUI1OmG+EMh7m/JJnfUD06UTz - P+dzfi11Otlqko8BOmaQnusV297zZTxCeDvB4v1RqTEem5B1C5mi7rSv8AbXvd4cN/br59+Jy1cY - jdlpmaBbjneMfJ40H3714zNaPXHsftcOc75BNGpXYhYi1YeZ78jRbfDZbrnd8RVU2Vfxo3HAA2nu - YW9NbQEa7hZUjm4fb4qPvSgfzdQgJtll+lingiX3l3dA0pJew4E3igrnsAvZaRtnbV/thxTM8val - kv/58k6b7kdJF9WUqE13yYft2gvQxUkmoh88lw+WWwNEwqEn5H5R9XFdnSNwbAEYOV3viB+sTpYs - OTyynSJk7fDjlzPPm/1Wqo+rhGrom0VHujkZS94Ht5eM2qq0ML+075hpjwMAKc93gme+wH9+UMVL - g+je5hbzjzGmkJ8ih4rZxwj5a2uLcMGH3dxv9XiKggCDoz0+hOzg5U27s3BEgewbbL+jb32ifKTQ - HPqEbe03a8dMeA2oMFT6yxfEZ/6GUs8+s1M+ti3fNUUF/mIr4+G7eOtUX12PcMP6lrmHp8m51IkN - WifhhWGOXDTx+7uDPW4Ggr+y7q1DmmUgomtGEvGqt/SGJPcPLxBmvjSCb54QNzcOOyRZgbp0fxDB - l/xyzgczFp39/fjjF1Toro43ShGLYJRrB69VxW+nNigt9F5rBl61UZFPH/2eQhpWA3Mb5LfjMb/u - 4egeb7OfdMORmoWhRJZtk6fpmPl3SacFqJfbkx6to4mk3/+OmCZk961s709+JP7jxXTXzfgEX6eR - h4UvMYcOXT61QW+A1FcHpjey2A6k3GF4hLKHl3N81+99a4OJvQdWOp3qf/jjcy8tiXlLRL1+siZB - P96MjoXtDavdqpOna1AzV4n8XFhhh6IfP9qRxSoetZ3WoPE2nJg9eG99CL31Hn1i6UPFZnVoe1mP - NDTXe2aVKAj5mixUIDsmY8FgOKfHNN//+DszhKUV99hTC5h5BHny+4V3WzdpUKe1FbHWCeX9QnkG - aPbLdH4+fZz7GwwhvROrOCN95oMqOoc0pNwu/HY6YQVDdJv8//LERBlTeOaNiRHlTc5kK1F/+cl2 - p3LiHJx19ONpzF72d71Xo6GBMS3qP35sAlxEMK4EgZCLd46Ht2e44IhJwtRxj8P1N7wN6BErK0LQ - K0eT1F6+kL5WLzb3A2/EY4thUK3zHz7z84/K7XS/4DXgPh6e4mUA8eReqfStLZ1RLTXQ7Feo4JHS - m+hOt2Q6VirDqqGHPL5fBVREJie3CFc6L27XBF6SLmBFW774+FXc608vspkfhENy0ATY++ZAbDuz - 8rolloFm3kTc9671xgX+nuBpmw2z48ANV6iNGzT75T/6klvZNYDtfW/QJVa+nhiXaxt1uyf6zTP0 - +l2pCTBICIlWWhGOoelsQMWKQX78XAgf6h5NeXpiWz8O+GQr4wa60oyJXuzAY7egfqG53jDXXRJP - vCY7AXpJMYn/ZZo3MhVZaONs1sxSgkPLF949grc5PZnmL7ecipZL5bk+EEuCsq359NKUx/oVMK0g - S2/cdO9IcROnYk4eCS0v3t2AVmajY/acpnaImCfKc38knqnX+dTmizuUjE84eBS1zklgyXAu+ZV4 - rUXzQaj2GrQmPfzhn1PUrkR4BqpKJ+kh5dMBpAwkTV8TZ/6eP54BuixwYubBph22jxJgddxwpp4O - az5Mjn5FY7y6USEa03j8xNdJPmUJJSTdK/GsLzVFKh4dcVp9aKcHqxIQtc+Vqcru0tKh8Cgc4p2E - R5OeOLclQwZLBZ1t2SihTlenBqLl88KMnXPT6+q1HQBdHYthGY5o8tOH/IeHbHz98vu9+c0T8Kz/ - vV++gyhWPmYX7xyy6TV2UJpBSI4XXsQj9tQK1uJxos+DgZGYOTf750fpcE4Vbzhouw20ZCbjc/2e - 65UFvmeptCg3x3hMpH2CnE/TETfgBz6cjh4GAycbphe7RJ9q3t2l2T8RIlZZPi6HG8gHbzDYvfwm - Mf89j/BVc0ZWMm35cb/ZwJBuDHYLKQmnU4azn9/Hq+T74vy23rvwwL1Jdnbj5CtFVTVob6eIxYmU - eFSC11eJHwOig6lprfjzi8fxVbDr2cl5fwozDI8uKik0Zdyy16dNoXWzCguZJ4bTdVXaqPMmj3hu - Cvroi8keyYaQMGPmOT1UWaNInp0w4gWdV/REM8B/OCYjWLF1cfaLcC39NcFPeZU3XeNe4eHIA0V9 - ZYbjU+MCmt+XaIP28abv4n0Hk9AHDW+TrQt9wzo0z8+I5Uqh11HDN2A/WhWxV9Kl5fE9EJR53kEn - +9blyezHYfbzWLb3Qj715e0KNnEBK2JutP1mKTcAq6dH3PIL8RgrSiL7H/f1Xz9YBm4KMw+h3NtI - MXuakoi2n1T4Mw8T/cO1QLMe+MU7agtBtGD86Ab76Zm5n57WL7kS8BLuZdzbcN8Asx93Ys/6bcCD - gWENzY54sp+1fdgWL2QfucY0VotodLtChnWtauTq62tOdaUoIMmaitLiHXr8VI8ZHKKw+PmXfOo3 - DYV7kkfEWQV5yN3IL8Dxqj37zX9474cWpOM++MMTJnNLAD26U0nuuGv1/v0UEuX5CBgxkLVH4+G7 - 3Svfj/vB3HpUqKvF6arM8Y2nB754/Fyq2ea2CvdUwgLVi9Y8DjD7Nbazcg2tF+o5Qkc/p2yPWa0P - p/abwa9e4o1zDflUWxosYtIQnz42OctDI4WjzW504e9HPmzXegAbYdzR9tmJ7W8eAy+rXOJ5/teu - sVBjOGHx+8ffz/qrg4uy7JiedXXYToKnwjzPwsD3Vz4aTD3C9bLc4Q2fBj5U3i1BqLyJzKfit23D - LZLRX7+tgH//45///J/fhkH1faTlvBjQp2P/9/+tCvx9f9z/FgTxbyb+2USg3f2V/vWv/y4h/FW3 - 36ru/7f/Fumn++tf/5T/bBv81X/7e/n/Lv9jvte///EfAAAA//8DAJQ7ipLhIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f78be551c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:01 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '83' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - aa1e0cca83fd3362f772adbda634eddb - status: - code: 200 - message: OK -- request: - body: '{"input": "A question asking for someone''s favorite color.", "model": - "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '124' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaW8+6Srfl799PsbJu6TciIlWsO+QkJ6sQULHT6YAiAiLHKqB29nfv4H9nd/eN - iTwoPDJrzDF+s/7jX3/99XeTltlj/Pufv/7+FMP49/9Yjz2TMfn7n7/+57/++uuvv/7j9/r/nZnV - afZ8Ft/8d/rvj8X3mc1///MX/99H/u9J//z19/VwT7D7fN3L71eoKxjcQE+1tqrSyaFAh9ZG8Kj5 - zcSUna5uB2PhcyBcy5xwvPLNFc7GxkKAbyhoTz3LoLUPayQ5tcZ2evBpoDB3Bj7s8gzMl/2gAoyX - J8Y7uU4nare5lMCupiYXMK1Nzl8Pcn0e0EwQPW2JrImDwtwYWI1Hu5zt/d4EinK+0YPuOim/uMYV - 7uW+RaS1WVpruy4Cr09wo8b8MLTxFV49WNaw+nM9dsrbGGQ648kzgriflIORAfuTqVQ5mpgxdQYD - 7JbjSJbgYqbTkKEOpmBqsDqLSb9oRS3Ay4sQbCRNFz4tO6ih69gmtsPqrC18+s7gciQ1/n3fWL/N - BRIpytHUXbbhUuH3BLVMdrAl3RWN3RwLgWiX+9i2hY82l0mkS2r2TrCZz3uw9M8gAqmyBxRdbguj - 0f2aAXGrI3Te2lYvHOq7CJ/x9UCkt6Fpwu7GJfCTDikSlYlzl+DZBjDV3jds7Y1FY1LITVAbB0zV - +y3v53v9yiXnzTXYjjlSLoA0Imy+C6OecVfBwm3TCjavOqL4mX1Dyl0+Czy/rpiItI966n8fprR3 - OQ5b2B7B7HyURX4Ico595X4O5z3SavkwCJS8Vavop2RADqhutzcie8lM51fpCPB4kXx8Io+HNuMz - 78PIvfFoxic95K96W0H01u4U80HhrvcnwXzcLQRsv2rI+4XSyPm9zpCsLi6bQuIgGNU2xd5TgmB5 - FC8Rvo5bBfG33ErnMDuowBkoxdrNMLTZ321V+L4edbTUR5Nt2x3RYeIXHLWWEYH3EPcInCsQYLV3 - U0DeFRKh4KkYK4dYAwPduANUnsNIGknXS3pwJQ6Opnhb66dOp8ftIoCHGCKMd00HZvtVD3BM3R5b - F2Eop2t3s+A7fDVoTtpHPz4bVMBi0g4YFce9uxiFpECfLy5o48Uim8Ow9EF4yHqKk9nqF28qqj/P - 89WJejnXSq7DVpC2aJJmj41kfzEFdzY77AVZ1VO5u+rSor4Iog9+Ckf7VRNwe/k5Rr/nkaOg2OSl - 2VPr04wavUTJAgSHvLFzve3KSXF7DxZ3x8eGfBIBZblfQfnrxqjZWPuSPYOMwJNNRGrRw7MccvQ1 - obBRG2rXcc9G0z4mkIoWj91uL4Blu9MfsFednFpDd0zHopVzWMU9xup2/w3nfkwL+FERphgd1JCv - /MyEOBVNfAihDMglolfwW38PPfHT0XPtGjb3A8Fo1Q9yXs6VfO+AhX71srvYsgITuztR/S72/Qx4 - L4LCRmmoFttS2NiRr8syX1G0PYmV1oaa0ICF7nV6nMO9NggeH0FCiw8CvgHDuXmfIfzczQ2RhjdI - +2dwJXB/8gesC8mSUnIPCJwfW5F6kfBlLAtaCeL5aVN7pIeeZadUhYqRY+zY3zltr69BANU3jgh9 - vHjWjHYWSVqENIyGrd6TTfpIIFENTHUWx9o00c4HB4UeqTmJW/a9bYpY/jxVm7C+3ri/+t/fA9Lh - 09ZO2DRdXiK0gkTATr+8+9lxhBjY+/FK1Y/FhxPlPxCcnp1KVbU0wJJ99xzkrXdIXfeq9rvM0h24 - b+MLtsrPJ2Tp96iAKwyO1DZ5h+2ewXWAhOYfep3EC5sVITXhMoYN9S5uGU5QjydYMxXS4xL05bT4 - Dw8k4CqSi5KZQPD6dIBfJQvRTy/IK45zKI6nPXayWE+H7XwPoADvHlYDpQPtxY4JGPfSRKb05AL2 - LNwIpsfsTY9vIXKnx3C/wvZwVshOuUiAqd8LBIlIH9QkedDPi5KqO1FZjgRsg5p1FtcgqGUbhxpv - 5dTvhAAvIBRjRM+fW6P1unWUIE4lk2KBY2w4q0slB8VYo/21dtNpc2kRbOdWpgb3rsH0fdw6eDOm - CCvSPDASxEkCu5GP8U9/SXpOOujeqic9MzNn82YLrrB5VRFN/LYvKQ9ADSMBFWRnXY/l0L5nIovB - fUNm3hHchb4OV7nmrx2BjVyCaRDPCgy07oaNaUHagL5eBM4N/8AJcXQ2ndlJBLo/tPgGD3o/8e+h - ATGJC3xcoNpPXqoucNUD6jkLS6uN6z7A9YEjtFECuyTtEzvS2h+xR5U+nJZLacLUdBg2owMriVU9 - eelSf1/U/tz3IROGxIGvOVGwbh/F8qe/ME8kjxpCLrlZbJxN+d6cB3xMmRfSCVsO5F2HYg0OI6Cr - 3wAdtcz/6k9mGFfQkz+YKstV1eY7SFVw9w2Ej6JyY4toRRy0deNNLZzZKd8tAoRQW1Ts8WTXD2/9 - UfzeI2HxSrZ0sElgUDcTTsXo4BL1Oj0gV20GbA0Xl9FJLxJoYLbDqoqcdF71AMrtxGPbR006fxyp - +ekV9Qz9mza/5z29DhVVNxCxee0fUDDZDRuOYAN6wZoIP7f5/Gf9TE6yqcFLfmyJ3MZflxH95YEh - qHx80PMPmK8VI0Bh4UTVQ8XSX73CLCz29KQdvyEz5G0Az68IE5ALOFwojgaArqeMagweUwLwsQGr - /mJFS7J+9gSkAM+4cPj0VjNAxeZrwm8fnKiKon05Qd1fILzSBqOGvzF2+kw+NOTggLUWN4BceKuG - 7P7Q6WXHN9okhQuCdyIEWEHPT1ktl16XuEA16TF5cemcnL8IiBctxWhbcdocjN0DSCfyoBbil5Tc - IqmA+iuWKBZaMaVW9GhAmtItApw6auMm3/EwkbmIGtqLd1mcnh7weJZNfIwty1287ZzJhuwfMB79 - I2BVNypy1CdfNH3OeUoNK9Thtz5cqJLhWptb1ZWgHl4NbKKmYAutfARbEZVolzIvJff+LgDwPjL0 - mRaiUT34dNInJSk2YzUP+91jItKhfx/Q9t7ewCw+R0Uq33Qgwlx4jGijV8PNJ30goxxe4XLPoQ4W - 8VhiRbnP6QQ3tgB3H87DRqV+wdR+lVp+iVgmbKs8ygUvKIF25UQ/vxp2yOQmCdt4h0/vYcvI/Zpd - Qci/dKoc0z6k6TwskKvkgfAea0HjF1YHKPrwFCnem7Fq0xTSB1cLPeCTnlJ8+z5AvA1D7Pjc0d25 - kyOA9XoEguncz7ntNvDLYUZ68rHc5b13YuC5UkVdsDHSrbBcrhL3Slrq+jRMWZwaGcheX4Je7X5x - J2lPF3g9csrPv7Llt55UUp+wser7dBguOhBnW8cmfX206fF1Mik58wN+qRxIx338vsLXHCtUE6Ku - nJbcEqDcLjxVsupQCpuPZMHZqivC7T8OmxVFlCC33DXqvcQDI1+TCkDffe8YqaXoTndFyKX6cD1j - 471R3IW0oQT5vhwokvCbjZ9LHEPPd/dYPewRGOPXpMpXXRFQ+copGLnEv8qt6JWI7H2cLraBJ3iu - sYI2p8FkA6RPD56m5oGG8ytwd11hP+CJUzb00XOzNk9J4sGl5PFav5HGum8cAR0UJcUKzHvm5ldP - euZFjk+ekIfT7jh1Mj3j8/r/Oz2fzBcVNA9OxKeePsMF3D8JHD6lQMBYX3rWqywGPpJeCOht5U5v - tAQwvNANdW+PMyO35BD//DQ9ucWikasTLSDumYmmPjqCsaB6DFCaXTFOHid3+g56AB9ybq795luO - Fmof0A1uH6xtxlQb4euhQJ4+BOqCC0rZ88FnEApTSrEXx2zulyIB6vzm8akhk7YsH6jA9hk3q3+p - ylYMjz4035WNb8rmzOrlA1VYwKOw9tMQTKN9vQL1bO3wQd++09l5zRJQnmREuwHr2qy+uwmeH4St - eSgAZOMLHQBpMWEVnrtybB6uDlPZvFJ9m24Yc/PMA3178Gk8k0c6LLnCQ3O4+PTUjmq5M04tBGv/ - RIsObG0M4pqD6/rHCjCbdICbAw+yifN/39+zn/9Z8xeBfr7pp2FkAUytBSPBgedysiPflFNyOWO3 - wxtASfauoSfJjGzlk8iGfSyv+s/OBOrJFE7tLeT25Sm7UdMFlTYKR18EQi041GjNBxi1W+zBZOOr - OLrsONbw76ED/fJ+Yv0bWIDtjlsEX9L2Tq2QVayOe7MBO5p+8KlUSrDc+zsPNu21XutNKXdjOQZg - rS8yAdMKh1XvgaFRlUiwuYXTtXs5wOY4hB3TT8tp9RsACktKj9x4TZvudEigu5kA4faSGc7qmbOg - f6pmxDf9vpwFVVXgFECKNl3ZaiOb5hxOvX36Lz0QNdOEYlodEOAG3RVA5To/f4WdsBPZMGSoAVxf - BERIY9v97h4igf1uuuBo9dOMlFMGD3pzxpadvsGy8bkG8t7jSV/3RXCHkmcKXPMg4Vksukvcow7U - ztwhmFWMUYnYFui31p6a3BeVc7+bfSCfepeevLfOtk815uCQUIAPzV1NhSoSG7jmIWxJetVP492B - 4KB3Z2zYBWBtv5sDec332LrmWjnAvQTB1ewCsnnaLuhvjuVBK4gFwpmVDtr7tA2g9nVbkq/9eLCj - 2ATPEWgYPbXKnXQxa6RVv6jWfGYw+sd2AMV8pdRwcwUI5h458NnKe+yURxnQ59Ca8Gt9OCI9dSEc - 8RkGcNVnjDxouctj8QoIU5hjnTO1cidlUQ7dJY6x69wmd5GjlgDa3in1LPPQz633boDn23vSwFlL - l01vKwCf3APhvQyl/PTxCnhQlS3amw4D7Lb1OtgPMMFWyHSwdAOY4DtRENU9OwDs/LRzeHu0OnUA - NsuF3pcMfLaoIWnGjiVZpvMCy42toh2ppXB4ipgAUjgqtZY4DKen+ikkfLIPRI6+vNsfsy+CzV0j - 2K61KZ2czzMCYgw/2DliorHzbWl+/okmoCrchd6l7M/96XVzBsyf9wI4y8aEYPFRyvXz15+/o/ZT - frtjGC/Onob8iNffm02uefShK7svwhpfCNna/+HyRoz0gfZOh/X+YOurBnlvs0pjlXTuIGFMQqE3 - qtqg+JIJ+74Z0GblF9PJDB7Am4uELHFMXKYXQSB/vM2VvI/erWck0gToFeyCTRfo7i7QnCs8ldhA - C//Zpwt/DSowS2dMz6g8hWwvpgMkA7ARjN5Dykj2ruA7Jjlqfvns55ewuw3xl9M2IZPKMoYFNwY4 - CTsR0FOa5D+/gvV2c+wn1u88cEsODVrXJBjFEAcS5rYDtZ9hp7VGc3nA8tMI9Fd/6+8TQG7Daqre - 1Y87i+O9Aw9hk6M3z4/ucLynCwh0zsBGfc+0lffwUgqWhrDX1g0ZuScErPVL3WhSNBqech1+e/9E - EdltUqoOlQDRFWdoEVAB2MFdILTfuYizpM/BdIx0EQrmfKOozQgjcY8a0G+dPVbmG+5ZVxwe0po3 - sF0MSbkMp0mCWSR8qemeT5qA0sWXT/mnxS5rn9r8gBwP+Xz5IK7hd2CSQskDYXxLydxNYrnywgeU - wEvGavPqNCY1kg8/6KxT78yP/bJsmwa8w2eDYGDb2o/HALsQamzvtxMjK18D/pbXyM46DNry8zPR - QUqxGmtLuWSjIkDDjDKMzH2eLsaJy8GUxyZ9PsJPOk2SosIfr8Ov7bNk8+cRwGN2AEQu+iZthEfO - weebRxRpRddXXyCK0BAPNkZha5bC42jpQFYlHTugUt3dJ9VqQEnzRZ0pLeVA9aCDyg5JGJ9ubkgD - giYoNcUNm9Vi9ovRWBK4ZvyE6tUPM+6TJIBfzPC0L/vRZV8zDGCYiQd6LYwj+GzfsQlFB+f06Kr7 - dLp13RW8DFyR3T4y2FwrjQnvkRrTw/lzLIfHnHsgTLgdNZ3vVZu371gH2aZ7YyORDbBbeRTkBl7B - j9tuq9GZSipcKNBRzt9t0JYXwwOPYvBoPCh+Sh3scz99xPg01GCpIrGD7dzLSDiUb3c+gcaEi61G - ZEv1N+hW3rDvdtcPkR0RaJPcnQsYbpeFmmJ1dOcw7H14mjkH29czZt8LdkVY1WaNrTrQ3Z9/gdtw - 4dBeeh3BPii9AbJ3V2LT+QpuIzwaDqL0ccWafNXZ9DzCGIyw8OgpCuJyvk9bHzZp6xDeSc1+O2iU - gGyCPtWnwQzZ6ap1e29CAxKL8y5kbgcgBB9FxnoXaRq76LUFDsp4xF4jl2x4BokFDfOaUSdSDiFf - flAsgXgfUYUnRjodkaBCeXMTkCR/W7ZUUo1AHeMDAddFYmRg9QMaAIZok5qVxvrT2ZJXnoUYg8dw - YqbdwNVvrOv1FVJmIg+0qC/x6dUSdx7QKYNYIAesbisXDPzgxHDNp2jqNl5IkSDnMGgDDyM35EKW - Hu4PoLa3C+pZK7tDd1wK2Th2HrZvvpquvDCDBUcD9ADT3NORuAqgFyelJ9WK2GJXrfrH/1rSPdem - qz09fn4AcXr9YgtKpQAaeN5hdQMJGBwpFoCLdJ+67+2B8U6yqcDR2D6x8dW27vh6Aghf0D1SrMkj - mDYGX8OQ2dc/fHP59N4C63lEpHSUMmWrn4S23OR09TOgLaiX/Po32WqvyJ0JV3Lg8t2fqHa4vHo6 - 2bMPWXTy8LO58+WgDbkP3GtA1/kBZfP0eutwGMwH4e+IL1eeFcE5IifsOHXJ6CUTc6Ao4Q0fEXF6 - 3paMBnqNeiLVdHMY/51TB2ZulFDt/mzSfNUzGE5vCc29wbu75GpPoBY4E3sBy7VpaIYYrvqMj5e0 - DZk6DDycbTEgY9FboRBpnQnK6mLRQ29E2uwZyyDGUu7+5jM9kXHAgzUfUUf+2mDHA1bBn5+Qs83N - pcIQWHB9nquexiVZ/YD8knb3P7xo3PSXCpYmmP/wf1blxwAej65LPiTpwMpHEKynNKcHH0z9bIzV - FeSXPsJO/zTdLW1BB/ZO75MWFrQkNOpreJPMdNWPD2N90KhQt3IHhwx+Q/aODAKrp3T85cue7S0r - gbLiN9QLmKIJ95w3Ze+EAoy70nbHp+pzstkfCoxPKgWzWDARdpqSkfbZfMqxX4oYpEI5IWr0iTvv - LX6ATvxISTMoU7r8/Nsynhvsvt0OzE7SK7BfyueaR4p+rddMHl4cI4wFfvp9218OenZoEeDcfPcP - bxbZktND/D2ASSucHKoX80B1+TH0U7cI3J/8rGv3IWzXfvsnfyvf5tpPpzmTfuv593m2SOUG/uEB - etPv+xlSpYPnRnhQ5cRQvwVcp0O1pntEyknt+dpvfbiIRkmkLK7ChTOsALy4qaQGMWi6zrsmQPbq - go/ihaWjsTAEv003U8PDUjntmRKA4m75ZJPMTTnp4rWBpP+m9BTsj4CV+uCD6/eAqfb13i4rsar8 - eBnVvLguh00ymfJ2KbQ/fvc3r4Dg29zxadXrP/wk3omURvfSd396CN3g8vmzfmdxPHdw0zURveeK - xZZ77XA/Pktk4WkxVuU4gFtL1n7zCTZJqI/AJ0lG7K15bb7otgAmat7QVj7F4M98a81rZJfa27BZ - +5dsm4O8zteUcqvdYgQjXuSxDpdLSUhlKNAzbhx6d5PYj2bTNL9+QirtPqRz8XotwJa7nEi3Ayq3 - p/dlgLIq6vj1ZAUYJPvxgP1e16j1kZueFC/X+9MP3ff2zYqX9lRh9U0itARKx/7ko5+/3O/zSzoL - 310NVr6DPeF20LrffHV8siM9PUIjZK6U1zBUpzvab8oHYEJwXODKcwlxwyzc8W7jQ9dbCnpYHjYb - Vt4E69Pd/M1n0unFdBWOW7leedEnnbrAD6DfqxYZtmPn0jnhCjj7TFvnn7k7Hcs5//E4evwUn5T1 - 4rOGnaDuMAo63h3OqlSByL3wWFv9Ipm3zww4F2GDD1nXhlNixjUkWiJjiw3vcNweTwNE5A6p1kin - 8MfXpNVPkltqX9Iqz8Lhx6uw5x4RGMKyesibrosQuy8lWAqcVVAM0g3ZrDxyPF03EB6N3RMlx8ru - h0lSFLiL8+3Knwt3DtEjhrpP2jWvQ7C8TtK0946bhB4avWZzc4UI1ofoTJFQ+uX4ufgJ2Lr1CzvP - +5mRTX9QwJo3qHURvJI8YBFIK/8g/PdbpTOMOB++b8mCmK5mKeO6NgDd7bys82ipn5+yqsAhqH1q - 7ZOx/DNfsQu+RluFFeE0SZYKV/6BhFQbS+JOr3X+PfP0RCfHXf2nA//+7Qr4z3/99df/+u0wqJtn - 9lk3BozZPP77v7cK/Dt5Jv/meeHfVPizE4EMSZ79/c9/bUL4u+2buh3/99hU2Xf4+5+/5D+7Df4e - mzH5/D+H/7Ve6z//9X8AAAD//wMA47OjSuEgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f7a3f511c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:02 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '230' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 302d6bcf723120accc8dac91da87078f - status: - code: 200 - message: OK -- request: - body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following - text, covering the topics present in the text and nothing more. If the text - does not contain information, describe the type of text.\n\nText: \"\"\"Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": - 500}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '2991' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0yPTWsCMRRF9/0V4a5jmbFqJdtSBOnHZqxCWyRmnk5qJi8kzyKI/71YStvl5RwO - 3BN8CwPXpzC4nc22djW/WzXzo2ual+dxHC2W94vH5VOzhwZvPsgJDISOsnbcp0DiOULDZbJCLUw9 - mY7qup5Mhxo9txR+9EFrP310flBVNxe/Y++owLyevjEMVNP5oi5D+aKsypRI/KWveKukI5W6bAup - Nzxwpl75VA69ajlwVsWLsj3JG66h4WNLR5hKI/AuZd4UmHgIQWProy/dOpMtHGFQhBPO7xqHYncE - c0LK3CdZC+8pFpi6Go01/r7+gmGlISw2/FMn4/P56gsAAP//AwA8cigCUgEAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f7cd8f21c83-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:04 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - text-davinci-003 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '2033' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-limit-tokens: - - '250000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-remaining-tokens: - - '249500' - x-ratelimit-reset-requests: - - 20ms - x-ratelimit-reset-tokens: - - 120ms - x-request-id: - - 268db6b1cd81e084a18559159d15832a - status: - code: 200 - message: OK -- request: - body: '{"input": ["Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet"], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '2778' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1RXydKzupLc36f442zdETY2oOLsmIwxg2SDDXavmMzgATNIgO7L3/i+09EdvdGi - VKEoKbOyUv/+158/f7VpU2TjX3//+etVD+Nf//UTy5Mx+evvP//9rz9//vz59+/6/zKLd1rkef0p - f9N/N+tPXsx//f1n87+R/0v6+89faokovsnVxZ3cBi4oVvoXM+e+RXPYrjeQBonJzObSoklfLW+Q - W36nsxqqoaAltg17Gq3oaji47vDatQFSsPggdgW42Tjv2YGKR4xuWN64s1npAHraNcTD90OzSBJZ - yaUkMkY+D9R8DRIE6OSJBSu8EhtslsJEuVEfE18+Une4XuUa8loF5n8WbAzRp/dQ2e9UzKTGacYg - Pjhy/goM5rVSxYfSRCIaK9pjQam0VJj9dwBVoElsf7eWfql3/RbmPMyYUcolH0ZHuqCVfPDwpEqh - O/n6t4bPZ9gzI4j9ZikvTgH7hTvEGs68f0Wis4VhPuoMY/mN2qJKCrRr3yIxntTvR9StZFDU/ZP5 - aaQjrj7di3y2A4ZLWJ7N0l7rCYZPVTBiDqd+ypVZVVqL9Biy6dAvlVx24Lqazg6hOKV0nykmxPfV - hznb5IIG2NwcKYJuT8zCfxuT8bpt0Lco3uQXr2U+tCuY/IdK52RW+CJe6ROxd43IMasdd9O+jhdI - 8hthJpJwKKS7yxu6aVJYpFZZyD8jL2Rx+zCY/aAtGlsdR3AT5IoOc6WGU7jzI7gezJZcz3Pn0q21 - UNTVDBN39IyGhzxw4BpdU7qyBy3c7gxFhJnrBd7s9lkzz0ip4aqhE25ewhQuw8k+AbZNTLzuYfPp - jrpMFqzMwquv9EqXV5hhZFn6GS/aQQuXQ61minY6hWTPzw9jKKqgUFDOfWI9oXc5/rgA8Khk5hnx - yZ3R22khn6yemA8+uoOIWwzhRtsTEpOm4SrJt/JyyL50vKY0nKQ8s6DkdYipPWgp1w7PCZW3l/SD - xymd1GNZyz98IpZ2pcZyNv0EDe9LggGxPZovh1GF8+t1JhYxWTg63eWimFLsEDe1N82ch94P/2XG - HH07oeG7XXTl9tkuhJxthOYl6QaQoEeM7I5zs0jJvEJpLSBi+bOUzpITRBB5ZsbC02z1lMWuCb/v - kbqu3/OofZ6AyveceE1+Tjlq2hJ46WZ09Vzqns8PqQWGdy1WjHidTvity+vVOnhiyXs1xkxydYKP - El+I0++HcJr6XEZlGXrEyi5ePw2DaYPn7Ao6u63d/JzXoa96E4nhHVtj+DyEFRpuQc+0fG03051S - HVaheyDHTEhdPg0RgOHfTwx7/OGOo/QGVAjWg7hVJKdjWjMLNWU+MoKUJpxJbi+Qvdue/PKxSuuP - +YsvOQ9R27OATAs8l8gjWisMfIYduoCxiSMs77DVb5Q5vaDYlUWiToDClpyvyT/1+J+FuvNXKFcw - OBgoqvPcHblmA9Lk60j0h5X086G5l0D6T4un/fjks1ZAAkW1u2HhRQY+1fJ+BffGN4ipH0y07G/2 - FnVEJVTub0r43aw8C3Aca/RzK4kxh853g2JXFMk+XrOmi15HC5bmecDzWxbdoTnoGZoPnU9U9a27 - i/WVaoTjq/ZTf5oOIJk3uAlixfbn2TH4XXts4Ol9HDp19NovqWHrgAJ4E32IdnyoMSphdV4ZxArF - yp0e928CqhT5uBLOosH9Tl2Us7i5EaKYVshF8g3A9P2B7IlZGstdgTc6ks0Vs+q8Nbh3IjLyR3dD - Ny9h3SycbZ/QsFPLcHW2EO0ckCE8oA+W8bp3p/gh25Dly4Wp2XoTfu8hwpK5rCjR3TZGc7rLnnCo - wGXE84dwiWsz+NUbvNxEwW1dsdoCQlvAu/g+uBOjCQVeHjMsGscm5FZbZkqkCEdmxms17NKtW0Jg - iQeS9DclbT8PAaDfrgU64WuTTmSH3kh0zYVpwvnmfvVe3MDl+aZM1w5aujtGWg2bq5wzXXwsBq++ - UQTZFBAsCsmcLtHraMKkt3e6iYtHM9yvZgDP16NiKixmPwrVWKMz71XiZ1PEmdyf3yBYhUWObqEa - zD76Jvoo1wsdt1ctXIhwL2A+s5b5V7pOh9GZL7/9T9cxMXp2TdkWJWr1IirJLHcrpC0GfbdotOHP - +X/6eTqqAtPOW5yyQT626Ee/iemfEpfK2g3L4WUJiMaNJZ27kheg2suTWPmnbkY7LQvI++5Bv9XX - 41zLggAl9spkbiI0zQKoKNHh9L0Su6mvPQPh7EG4Czyyv1tBzzl9lfDaXVR2vnbI7UH2C9CfpUy8 - bpE49bguQ3mMLSrq13PP82tswvJdNZgn68GYjrTD4N/GL+7sed/z53tqAQvJhHfmVnLpJT0WyKDU - ovM+MVxG/NoDe4zSf/SI7fRhizb+Q2HWQ4tSvlGLE7SNFeHtfIvCeS1rIrjlYpKjwqgxu3UTgG+Y - Cbkbx6X5+J09IeKbOjlX/BpOrlJY4B27hBhh1zRzrmUnuDnlieRGvA5/7iOiX36oyl7oh1e9THBV - B4/gNPrhy8rdwrb5mGRPnSychUw6QY3diK4Cyv/Rf9hap5qu5qrg/Ou1LZS3j4RnrFf93N+dBPaa - njPD1V8GewtDDbR3OspLWeXjp3iKv/zAVDVrxPJrbMHEVjLl2uHUj20jBuiIvDed5Jvbb1Y0KoF7 - WU68eXMOZz/UHBAel4yd5VvCaQCXAAJ77xJdWmx3vujThKqjWxPjsEnSkVSKjiDgOiEbJnKmPo2L - fDnZDV2PyRQu6uktwtt683/m2T/+w+knQh71/sP55T4lCHdvmxGKdZce4+T5iwedu5SjcXtVPfQu - Tnt2Kfy3m41bY4GKXxhRL7HAh6vmq7DKFcrMimp8Ok16rZBziVkoLXE47/YWKLazrYj6ulR8+Uqm - DZxC/KPHT7R8DNmCSp8t5m+vWjpZMXWgOm0E4tnBGrE7NCVI8EU/+m7y7SjmMlTaUydB6St9f9fi - jdxocKBCcm/7ubRjCz7UqrAwnJ/pVz7kJdRlf6Y79zRzbrzPovKI33diW8dVukTbeZJ/6if74fwM - l/cpTtDav4TsiAtkLKeD46EaHyMsne6M89FdEri6NccSdjuDm83VlLPAK5nniD3nEXFq0NfXivmt - NBvz7i2KcrSnKiPtu2g6twowtPdsYYfn95su2WUaFNEcIqZ9bYV/46IyAQlZyUz/JLu83AMg8YNP - zMzkyWBCs+7QM8KUqUes9ls4eaaEe+5RmKsy5Tcza9HTezm4KyBwZ0MeKErfG4IFK9P65YA6T56f - K0alwSt//Jfews57JFh85V3I+qgNwEY3hwIpnXRYUrSgQ+MSjJ7PvbFk3Bp+5zH78avGtrxtBzh4 - 5IjBt87N3MSdBfh4Dph5v2/CTh66Fn76l6VHMW7m/LMUv/8VcuDLKh3m5rlF2kuq2XFcDsYUDY8C - /eqhj60Xn/D62SH1psVEj4vKWC6pVqCs3xp4pcStOxskCZAWdQyL4gGlc9lpqpyuhxezy6/YT6TB - FkK4TFj443+m1ogTWRViiZjX16eh3fYQoV/928wriQ/CbjCRT3YB5mY7hM+pv8owGi38/AemfvSO - xxrpKztnjpIN4Wy0oANZbRg7VPbYDM3BydBg/AcAAP//VJpLz4JAtrXn/Ss6PSUdEYUqzoy7KFKF - oFySL18AEUUUuVQBlZz/fgJv5yRnzEBw1157rae2UGIUbYVscnbxDHNgCPT609uAbqtdA3zXrxAz - wD0Y5/HnwXt0vmLrmdGsj3P5Cr2zVGAjsaqgPY58COr2fiPgGUpB3ylTL8dzl+JDPfYOe6RtDj05 - P9BjJHUZqYMrgkIz52R0tSEbK4cj8JVpKtr5/i+Yv23swWDmVTSykHeGwgkkqM6ji7EogK5PlGIU - ++3XpZjdDDDZ1szB6yX6kk07fDISvQwPRj83pfbmVgMGqrKEHo3jJX+WWelLJxus/gS/HwrYHeqq - gWBj6fj4/J3BZDxPHGyLQCNbpzIy9uR0HlZyGOFDcxf0fvgdQvH2gBx22UHoeo2b37C6/UxqLn5u - 0CIn/PMPS/9XPclbTVryFeFCjLMpDkdNNjtzh4TV/0d3T5MXP4Tty+bbjZ4xWjC/j1eKm8DtGL3N - itzM0REbx9wN2L32rrL5kxhqlvy9fD8EUCqu1HadLSDLvIUlF0r4pFYSIDxkGkx/CUCycHsGM1I5 - AegHjaeu0/eAmHpwhVvtPuOzZUgOWfKS9OLIhqrN9symQ2POqx9EUhNr3Xy/gD3QDiim6kfa6zQf - jikUmjHH6rM0glkUDxysrTlCwjJPSfsO21WPEVTaT0BfQjrCozBn1EgsPZhc1cvlw+/ZYd3RTGcU - wsSH6ZPPqKYEtGKrHyjd6YLt5Do68/K+YPGHi99PgzF9KQRGsHjSk+odwVSUagrNQyxS7Nslm6ZX - NgK00QKq+MfRIb2n+OC5fx3oobmH+vxsaQw/46ggojp1N4XnMYZgW5RYzWra/ZKN24JR393Ju7ra - jDIylPC42zzoOcEOm4vq/ZGSCutofNRKNno8NwJjb1v0EFqhzvAj3cPrWcyoU/y8bHL7lwRLfojI - zIktm4OX9AKxGe4JvGap3u53XgmEDExoXOZRV+xUTT6QQUd7dna6acMJJ6jw9pYqZek5jIvnFl4v - ty9qq7FiTVCWsWw+DIcWC1+ZXDUuwDDKBcboWzuknTIL1vvKoLqsaM44Vb0A89HDZLpvmooYD1GC - FoQhPk6Bxvg88gX4bPMYH+ISOz1NBgQd8O5WvchICD4aUPrHiwhtyIF58Tcwj98Qm/Lzmc2RW8zQ - Js8H8jPfBTyX1wLMgSWQ/a3Ug7nKXG8XzIKKdkc5Y3MIiAI3VHDxAU1DRbhUJ/DWsg+SDecSjOBW - afBz3mBsS6hyyP7VKeCBHZGet7dBn81Y4WXiCjY97htnOY8YAndMIarpSc3GvTi3IC5ghvV662Uj - v7nb8GslGA0+eWfsPIk8LCJtxKpk/gBjN30Ex4dp43OkfvQmfdkE9LHXUX1/HoPBqDdo1S9q0Lvu - 9IYt+VCQ0XfhQwrbtZX7WfvtT+8m03jHsLRPGqr8yO0GwXZGKD/TlB5I3FbMKEoBIlS0GFm1mI1Q - NFKwc/yQIifpHCYdaQvFvTtiU1LMalf22QlOrX1Ak660zvet+LnIQ/5Fj5feBFtXjXM4fGyB2vWY - ZQsv8UEOLxLZ45p0o747viRiJj/qoiQEo2A0b9AVZoGJ3IrOYItCIe0fpYxv/cUIxu9DhlAyrQzb - 17LIyP3CpL9+l/O7CSaBheeVjxFuflbgz3/1fHpEVebLDjum8gyZqM8orl63alj77S2CHg0LTyBx - GiDIhSlC1eLvJ3d6nGAGvJSIGdnr7DxNPLyE14KaxzzvmBClV1hdC5UeldwG007xexg+ppSkQsoD - OnGHBmYnMmEnVCf2TdpZAHEVf4lkT3U3gZbbg4VnYX/Ji3Uw2RpsTO2LdjIirMO8kq48Cjvt3FbT - 9lmXUM34A/rUGDpEqa8xmLmYkM6YeMA8c7Jl6zdg/Nf/aXWcYZxMOhLuX61b6wEMr+CpuUnFjGS6 - okEvohZhchA4g8dqAs7BsEXSufazGbzFz8or6cE6Un2adkcPrPwLLH5lzhki4jYUZXz2vm4wR/dY - g+rlEWFHBBswLecTJHGaUasgdTZL/auFtfreYHXJW5N4SkPwPMCCrvxjzT9gdO8K2Sv0VG03HHeC - kxhL9HiM4oD4u0aDI59Zf/N/cnbeDKv24KGcink1Z89QWfMaGtvM6Mbxwp/+eOjCT6uxj8IGcmGM - lrz6COiSn6CvAUbd7Mf+/D8g5VWnp/uWZmveAxRtG6oUdRYMXNi8oHlqFGrqKAQsn7YNyD9tR82f - LlY0nisJNtPJxPh5CfUp3GsCpEHAo8l61oy9HDuEq//cbZpD10dWnALvcm2RpFYpGz/HiwZfrc/j - 4/aAu3n/jTxQGKWAxnzDZzPNNiGkv1GjfvPq9N/7l877WTVcatKTGmwz42LB2LzuacY/e4dt2X4v - rbwEfN8PMCroOkOs5w+sv9Sq60Ksvf784dbQbLBv77EHX7lrYi3e3xxyabsP9NWeUid5DRWVy64X - reblIHZ4HoMh2ZgtKI83i94yBjN2NU97aM+bDsnSETkj92t9aL2rHRqaj6IL5+RnQ8+4b/BpUp4O - K3aqIi/9gbotr+n8tPevoEl/AkaZruo7BMQC+prIqBttvw47SIkNq1x/YiWUn4xtYK7A9ijsEP/Z - GlX7mdUQqFyoYmWASrB1p8iGr9bjF95s6UJ1vH7gPr3VCNZdpLPx2/Yrv0Wje+OC6XPmEeRQD6hR - Egjm6ph/gDvGkOovVa96+bS15bPx0Ii88TzQOxUfQuRLAnneotYhpZbMUBwSG5ttSLvuwikavN8/ - I1X402fl8yWodMdZ/LDbzeLx6EF7lwlk4JFYDdnchHDVT0UPHMbkOU/h0D999N2Kn4xdfn4JxEeU - UCNySMVoSjyw9p/NB6Sbe0/x5M5QDKrOoxq0z5qdINN4iR6tlgRz4r9OcLD5Kz4bjuZs3xr8gNuu - uWBbRoVOtw8nhsqlBYTy+Rf0sR68oWPuWsI2gwNmxZlbSMRzgq/sgtk00/gMeG8wl3z7ZNPLbXNg - vZ+7tV+yqUu0GMbKfiBsCM/OqOlEktrr70F1b/p048ILoWM0H2xIwSHgz7njw7eTWtTVDRLMLMx5 - cLJ0RDYB+YKdUTQCHO7+A+vsolS7ESkcTJThiPGQjtniZ8q/fHn6cb9qPg271999hMJ03RkPeGvA - qtmfV16STQ+BhMBOzSu1JaQ7Qp70cPXPC783A+bqr/eaP2iSkb1DeTcl4NQ8bWrth4JNiZTEsLxo - Car4uOrmlW85QhYgRsYHGHdqN4KFV6HN4qeFLhJDsOgRjhzvAqZGs0KoUPLDrr2pHLbMa+h2cKSW - grpsCuHGkryt2mB14TuM/SYfXjWDp7bvx9XCTwU4xIcDmafTseLF+fiWXodRQuJ9q+hsyVMw/24p - 8pZ6DLGmvWRLEUSq3qJWn+nY83Ctn007CkZtOEpAZycf6ztzyMhdcRBMnGrERvUVwXBLbj2008OV - 6oHMd7/zUX3Jy/eSLT09A5ZcEgtOuRVTQ+ERGKdi/4E1u/XU9vqpavjzpZE/CoqQPPNmt/DJKwxc - a0M19n5l/VofrBePhf9GYOIGt4Dq5R5Rh4pDMCz6JovVVC95LOvo2claGMm/mircOc527bHj1/NN - z9VJyYT7BUhSWHxCxBu3tutJ/tKgIyQB6vVo1Nf7ENhMtoldqz4500Y6SiAPsje1hEfiDOK2H4GE - RW3hIUUwKOy3F1FeJhgt/qRdeVE9kJyIR+Ob/fVfo7ISbXF00Rd/6YOnr4tk35z4gPbxg0BTVe5o - Soszmyg3h1B5Sxo9xeRcjYf36y3vTTElbL1fCo7eLC/3d/SwP5z1OfzJIWwA15P53ltgirO3D7ri - UKAtqh4BW/Qccq2QYKXw22B6golA5ynb1Mnsa7XwFmnl3TgM9k99PJe7F9xdTwPFVYeYUJw0HnrR - YJHtk0wOW3nvq/xdsMWLszN++KoAK7+Wl/9r5ZfQVs8cPiTfiQ2Xjm9Wf46NTXrSp/kRcpCvjx4+ - GJXt/OUlZOwOaJTNW9c9OV2Aobw7ol9hX/TxlpJxvd8g8Lk7BfRQdy30yvq+9HvZzebUfoB1TgfE - 2KWsBrXgY3gLowy9HpZUUbhNEPhC28O6N1nV+LXyM6xZ1NOTWqWA4LLj4CvHJoHJCzLy82tu5Zd/ - eYls/LSBRX62cVrqt//odVgpL1RtubZj++utlKoLkpb59NTn8mBp8EbxhG2vv1TEFEIeFtJA8JqH - Z3/XKLBRPjkaUXPNWC+pLVz0G6/1ZvzLPgNccwm25u6cjTSpERSu1ws9E+VdEbdLeID8vYCDFgbO - LMyuLeMtPpN3YlXZeMaIhxbkQgIfP6Mar7Zg/OnNduHbw2OSLLjymD9/8tV+CnBRi8iWF19gMmfQ - ws+0MUidf0kwZubrBCmHXIKbD1fNGz9tYYs1jJ5n6lRTDfQc6Po0kFUfd30c9WCpDz1sQNztdtqb - h6YXeH/+S7jEkrTOPySp3o8Nad3tAePrL9XO+Q/0II080DiZTlc9F3KSFjC4PB168lnEfkN1Ula9 - pEEgX6sxeswn+K91K+C///HPf/6/dcPg09yLelkMGIpp+Pf/rgr8O72n/+Z54d9U+NtEIH1aFv/6 - r/8sIfzr1zWf3/D/h+ZdfPt//dc/Rf4/+wb/Gpohrf/Pg38sv/ff//gfAAAA//8DACC8/ZjlIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f8ad9851c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:05 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '802' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 3dede0864fd0b6b9c3da0f83741fc5e1 - status: - code: 200 - message: OK -- request: - body: '{"input": "This text is a repetition of the phrase \"Lorem ipsum dolor - sit amet\".", "model": "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '148' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6WROyOrfm/fcrdu1b+isRhYR9xzyTKCBqV1cXODLJmAA5df57l76npxsvMGIR - 1nqmlf/4119//d3m5eM2/f3PX3/XxTj9/d++1+7ZlP39z1///V9//fXXX//x+/z/Vj6a/HG/F5/X - b/nvy+Jzfyx///MX/3+u/N9F//z19zqWR7LR5z6mOQYpeIzJlVoeSod1OMo3OOztllo73QQ8M31H - 4kVVozZ91GydJi2QWhnxaP+0LTBbVZxC05u31H3QvT5f+s1FTKvoiY1h5wxr9+gcSSyUCptthnTm - vtMVlORJyTol22Ho0zIBkuB7NAgceejbyzWCeohzwrNNCFZ0vmrQrv2EbHRrHpZgwx6gto4Ntrbh - HbDihh2gP5YrNfn+Ui7ixXJA9nJljNwZDuuuPnoyDHKNmjnG+eB9mh5am3ym2rld9fGKugTq+ium - ym4U8lVc9hJ0zK4j0t0xy5l+ZA2e1iDAd0GzSnaDGwKS80oI5w2HgfZvdwZx4t2RXPJoIGEgNRAE - N5Werwfks/g6jSCs4Yj147lmq2lvIEgAF9NwjRXAm+N8k5Frtdhp9DuY7tfYgWfpdcYep0r61N6c - F7zM84GmHhIGWqnrRX76zMTqc+eDCTnBKF2XVcKad48HNk/3Bnbz1iJ8wdN4NttOAmj3HHDIB49h - sbcvCEEXW0h2w3PMA3AhgImWSjXtRPI56jwF5nosUiTUPpt2mOfkwxG4aA+VvFzOQ0rgxo4FbHCm - MrDWlBXwSW8f/OR1M2aAPxbyAxxmqniqxkZn8zJk+RQV1EQbgzHteizky1CqBIT5K2aeIjmQ2KFC - lqv4KBmU3hdoS1lBrUNdDnOxsBRK702NdgN96SwXKA+bKkvIrhktxu5Hvoc3FPU4WKw3mO2cC6Aj - nUtqqEfVX3adcoEit20xPnFFPj/KLAJ5st1h02vMeNdliwRvT6ElM6eX8aqXlx5GfiRje3MX/DWq - JQs6CzGodokCf8b2dIFaeMiw8QkJm9mKC2CK/p5M4yaMabHNKpjWqYMVsy3zcXtTE9l5ORbOmKnr - W6GYX/BleAf0ff6cnPZvInOJL2H78KD+OjZSAq/HqKaKfHVL5n1IK228jYV4d63B/JxmAl1cLfQQ - zm1Jue7jQLbNFuzVUjWsr53ygjdlH1Hrbjn5UuquAjvZ3WIU32nZGi6qoNzwL9Qdq+uwMke3No+2 - c2kYNgIjlbtHUrKPdWzfu6mcW+20QuG4L7D+GmHckZ2aQOBnl+/6FKwnOB9gGq8eRfeyiEnG1T14 - b01A9kPrl3Mizqk8J3OGo2uo+HOeqwZ8ckAl4kbXyuU0DRyQ6n6LQ5o9Y+rDoYDuo3Soi55hud1e - Iguii7KhhhPu9U/+aBOojZP1vd/LrzZzk0jNEl6xcxyIvlD5GsDzUCnUYsnLH8rNokALXS3sVcZt - IOZbz+DtnX0wWoMgX3BUevCGDj1Wj/ampPqzy4De9Bgr8rUrScqJFYgORYC1/Lxji/aaNek2pxwq - T7MZ80vYRtB8N9rv98O4M3YI1lw7o3l7NOLxVecNPLfcFfsHvOrz53RNofYQLtjVcKmvm6OTQk9I - Ntg1dR6QQ7mfYXwsBLIfzks+zsTYi/kNnbH+TgV/Ld87IvWmNtCwClE83d7zQe7jjUZWgt2BPwcv - De4Oi4R95fBmq/SQE4BqMJG8CeiwiLeEQFy+LALu2eF/4xvRGmx88eKLTxxMN+8aG8fDMV6FQxLB - U1gciShSqs/PQzqCcXN1ye/5+Ge2daC4vkT07Z98uPgzkcsbWIgQBJXPUqAlkP88DerIgl4uultL - 8LW+Y8T5TTXMFhHnH56Q26676qtLxweIMbdDuw2Z8/Z4iQm4aglCk7fW/qy4WQG//EJ29kjB0GXi - HpazSqhyRInOkNIE8HPKOKycPvEwD60C5YNy8qmVr8mwPE5BA771js2JvIdp3DoauJzPN2o3YwOW - 4eV7YIdDQET0nAbS+EsBbXNsKYqDU878iXtB9vhUBBRGn4+74ooktbO2qGKEDV1aWwKIT8jCwU5i - cWuLB/TDUwJb3RnmDzQF+AwEQjbF86MvfHpYIUn9M1W++EPoK31JwnJGRGrvUB/PmluB51J02J7E - vb9sN1YDk/NMMD7WBWD3I2yh9S51Qg/KVh8TcZ/AMapMfJHrLp5+/VDW/AFbU7qC0SLLCj0jGpGo - XHN/+tazjHb3gbzEXmdjZhkBHPOwooEpKPG28aMANpGQEgnHob42/vKCknL9YMfldX82H/4DnMLX - kd4ayjMyDI4E61F3sVMIQbmkNeLB5rLjqc9Vm3haNlEBDSA8yJYHK2N9fUhhGo3vn95gVC6fB6gv - Yopdz0L6or32ClyRh2jIGAcmabk20pasNfaDpSmXrjhcYKMgSrG2FeIhuxxushMqLtq7fKnPqrK9 - 7JhCdlR/uBVj/PVAoHlQDByHWCmHeTpV8HhFPdaZT+K5PWorPKt2hfFKj+WomDqE+309Ix7Uj2Fq - YO3AO8ID6lcP68usvz3g5uKbakBtyzlLFiRfWjHDQfbs8zF6DBXshnqHCiTE+twotwcsrE7E5lZo - GNmasiAKu94kfA/5sg30fgXlrBPCfx6dX+vuJMH1HflkU8zvmBVi50HO5W4EtknB2vFZ8sB5eRb1 - LSb69JivEB7FcUPNzrCBMG8WXrxLBwvjh2UP1FqvimSfDw09FNe1nLRb95B2ydNDgI+KuJsb24DQ - P10R3MfMn3u0fUmr9+Cwvx/ejK2cL4m5JbtUA4MWLw1+zfCLh0Q0OQeQ+3V9wNEdGmxu66Bcc0Nu - wBdPyPy5+WC1y2AETqi52D9FQ06GW74H3knoqRlfjHhWFfkCzpmi0WAnxTGbl9GBe3KJkNR1fbz2 - 1aLJKpfqNCjSU7yodlXJ3/7CZipgsCSCavzRT86c9awZY26FtCA2Dc+VodPhxhBMJKknnKSf87m0 - 5ghkl8qi9tsW9dV4ehbMdzLDwfapxrPhWg3UT8aRCF898gdf4F1WaPAe82F+0VUD6S3vqNPoMls8 - WXJg36EDRtiY/dUSnAN4pHqBBOt5AGM5VTOwnrJBEWJbthpdW0DymU5INHWekfiecNBdBpNIF9ro - jH5MAhb3lmBDPb71pSinHlbqZ6Sh+TiW8x2dLr96Jrt7F5ZNVK8WrOTWojnFDmDeGhrQjj8pETb+ - 4E9SUVXw+biM9P7l7+V+70agLyClocGfwcJWIoCItQ699Dc5n5/TnkBxIx6p196hvx6DpoX396kl - SdCchwXf1Qbyn7uB7RsRy/p+fxNpcR8Jkt7v2u/njSjASuQEAuV0zEl2fEfgnlpvNIro4881JYbk - SQrGuiAl+lx2KYJt/wnJck4/+lry7ADFnI6kwMvHp+Oyt4Aa7z5kw65DzE6NeYOVwwVEjF07X1Pd - QUBICpe880eQLyd4gNKpiyfifPXrPPEtgWWMOmyMUqGv3gcnYDuYJyR7q6nP5TTOAHne8ac3/DEZ - /FQaVc3G7pf/+vwsOlCgC0arF4j5ym/qvWRcxoI+WW+Wv/cNb7yGsNK8z4yl4z0FdstX2FTEKJ+/ - ehgatlNhdd+CePTU7gGFxrBpko29P475KYL+oIkU1YNdvkJgNjDp0vHnFxhz6jqBljcJWDXfCKzG - 4W4BYbQ3NOCOSs4M5xmBRTN5svH3uFzsBkB4e18+WDcE1V+k5VgBvBG2WPf7aGCV5XCAPwGL7GzZ - 0+dXSiq4wxhgTJWB9a1bHSBFrzcOWr0dmLgeEKjP2wp11VR/61/SYMR6B+P9rWLro3/NMJixixF3 - E8BXz73gU95esKNqlV7BlTXg7DwMin10AvMHhryk1tcarQf+NXQNnBzYSzOipiKu+RwgNZAtYT7S - UHxF+hd/9lLsYw6jLgvzrSeWFRws9YTN1VZ1FvAog8+jliD4HvOSzNv4ItG52WLtfqrj5cxlB2Br - 6oXqhvDWe6xYe4imKETr1z+1Ku4zKL448K2HWl/P7sX6w/f75PkELG4zAu3iPVFHDDq2iINKZKto - RqzbYARryuce/PHhFw/A+PMLb3t+f/cjZfNILjxEnnPEvr755Iw5/QVuNoNChMZVh/X0fBygZK82 - xnc/Lsdz0Gp/+vdTv/bl0oZxAe679kmfyTUpx9O2W+FYOTpWtx4GbD86CYib1aCq9CjjRe7l9aeX - 0eJttXySwKyIauY9KMqTrJzvusBB5emPqBvjNF447+rBlhzuRLj5ST5fDU3649d3Zyjl02mRXvCH - F276idhqIcwDZyoe2DY+hs+y+ckBLbOfRAJhG3/1ZwqSUt3SHx6yNik0CFevwR43MDb88C0uDf7L - f8nAPijyoNOyGnHvyPHnj1WlsKbjFTtsngHFftCDd/mWf3qATQVcDHilfkQVFZdglPvHAwzuWP/q - j63D4OzhteBLajxyykhSVjxUhU1Jtbfh6/Rq9x6Y57eAFffs6utZGhSY2YqDcbNvyqVRwAyVpzsi - psrPgdnJRoNZ8+Cx5SGhnPbVwoNdRy7URfOHrWOzJnC3bykh/UnN66G6ElhqJMEOCothpWLHwfdx - s0Hc9/utInABeOechaJdVIC13FxHILGypL/8ZFIEDgF85BysF4WRs+xyeMjJhT/TjFMzf5TOjQBz - r71iiyhBuZy5KIJc/1jIcjZHtmiRr8GlFZWv39/FrVNYFuRceKOPcb8HfcioJWlu7VFDz/dgiaNn - AO/PpUNiuGVgXbxDKt9X0KDtedHB1hq8l8hX2/u0rGYJxtBdW1jGQYfDrb0OgxDUCjxX4QtbrRzH - 88J9+bZUt9/+CBj75S/bOa3QBm6reDnTKQL84CUUcdNRZ7pmXyA9Oi51B0ko1yFs9tKpO05/+Jne - X+8eenuuIdUXn6f8fOT/6FmwOxN/OT41CQQYPbABam6Yx+fAw/cnDLF9vJb+OFxzDqyX80jdz3rM - x4qLLXjhnJZa76fNfvgBVvBsqXksYLyCLl7hHuAzKbtHnn/5KYBfvMfKaT8BNpa6AU8AJNS2Zc+f - FDUhUDveFBwk0m0gm84WfvqRoqungZnTOw660/2JDTG32C5PXAmyUG3Q6FMZMOV8CX55CNXXdzLM - HFIuAB7bIz20lsnWxu4h2Fy2/B//Pdt9GYBeuxrUvpwkvckNuYJbW77i9t0/4ipmr4d0Gase39hB - HPq0bhxIjPqKPRxPfsdt1v6nx3/+uOwSwbVApdYjddzSYevZdF9w7UBP7jTb5KtwuEXwnGka2hXx - H/zKpO967N+Hnk2nB8f9+BljbgN9ek91JBeHVv3jJ3hs1xeY9Y5B3W2Kh3Vumgs8Wf6Cfnp3+Zz2 - LTz2c0uI3xgDufrHiyxOxx4rezPV5xQsLdSjR09tbwGAXmS9BdPxecd6/JaHqZOeEjg84zdGb3Vi - Xz9VwHT1Q7T5+gNWiG9HJpAraQi5+8DO5ouHhZ+t5NS6DHz9YQUr8wCxORZxPNeO2MBvPoZ93WDx - WO79AB5Mw6Babxv5x7wnHtydXuyXn5bzErYH8NVzX36acuqZDoE3RYrIx5Z7fd7e3AT2O4tD8r7m - 9Pnr12UlLULUml4X02NzzaDwCI9I1LDub8+0PkigDe9EysQ7YKAeC+jL/YvMLBbATObIk2yBRt8U - TyuFWHhdQB/LGg6Ot0VfHuXS/MmbJCxbYP7lP9bmOmP92L70ZThVBAY8p1Hb+FQ6+YQrD4tu2eKA - 39rlQtokBUZqAfKqzi+d7a/GH/9IlfFp5uxWzQH0PllLeJm34mVPDwcY71ONepN9AmyGXrM/SbsB - Cd/+IhbCAhz2Zkudd8/lrE+HBJzOlFLbHimbedt4gGx79XFQpNuY6OWhl9x1JGjnpC5jw+faA+Ok - R9Rmuzpmu/d7D4gYx+RPPjoghH5+Ge0dkfrshxf6MVeR+OxHn9WEW2GZHCKajUI+/MmL4nrMqeW7 - fbnWB8WCWu469GYc12F+D8MN0NsV4+CjYH/t7bMGAyZdEeS3n4H+8OLTajWRI8nLRTL2eyDFKvry - ZZYv/UMV4EdsSmqMkqYLalSk0nOMM1RFfh3Pdi4Ev/dJ7biUwMzivQOL2ZqI0O3tfIoCO/35beod - Pi+2WoJyAHNMFuz6auEzh88SqA3dnWJuc9Nn6UwEcL1/ErQbTCvePnv3AYK7GZDtdP/kK763e5jv - NuyXH7P12CstsJ4bAztFvcYzGIcRqG7vktRnVbwcUFLBs3gjqPe3arlT6JlA6/3WcdA/snIO9GKW - CacF1PnW72w0bSVx+StDovzgwbwrjkhS4n1Dnf52zzu2Eh7uOemDWH/F+dfiEBg5XYqDdDYG4mqt - 9YcvdTppjG3CowUHiWJq36UP+ObJFvzqceorB5X98mbw0q0PGbhqk3fWoBUQ2NRBu7iUGK2DgyAX - F7z75ZlD9zybexhaL4Uap4tQ9q7WGlBgcPvdT81fHLDn4XTypl+eVs78aXnAl/JUaMjxdfnd7xQq - 7BShFipg+D5fACnVBLRR1IpRIY8UqApyidW2G/TZFg8BrGp2RPXHknKm0PMIireT4ujrn+fOqVvo - BrKHA03m2MhnjgJ2xXlP1Zw2Azl4UwL3G3jAKpI/5U9Pgm8/Y1/LxGFR7bECw33vffPHZ8mLL5+D - no51wr3hm80qbGY4HosbNVOBgh2uLhbc7T4WEta+iVe52EHYs5xge6CKTk1EHZB9XneqGPq2HPXw - 7oHv+6BBqB8H9mpXHnznQVi9OU3OnpObScf0o5Nr6ZyH7bG83mCVvTxqRL4ZLzgaHPAsqoie3OGY - z788qz2dN9TrLgedyEsFYfOaDLIsuefPVHUKaMX9CbUZ+cR9n0UVrB0xpK7rS/5KMtSLF+l+wUqZ - NMNyHh7f/fRSHGTo4I9MgQ3sZH+LVstI/HX/1hp4xaTBKo9zsPZZ1MAi/1bINx8b80PRy59WqRH9 - 6j32zQeAJPIZgoulMjYusyVb03alCv/pv/xylqAWBAvh2qcYU1fqA3gJjBO2T28nn4dTeAHf/ydt - akzlEJ73Kcj0dI+tVtvk46uOKyg+M/jVF7ec0a1EoJojm6pb3i3ZzrAleDR1kyr2mvuLs0QZNJmn - UP87L2D6832Rk4twxtoF1mykH1kBk5hE9DEV0TDkj1ciH8KpxP7KkWEt5EMmQ1pwZN6NaTxXoeLB - KXpbWKnOL581jhbJIO2eVGc3ZxDsRRxhKwf8Hz3DX5zrA7ZXFaPD9mjkS85ZKSimu0lV61aw8ZHU - EVQHckOS18U5s5+nxx995ejCtlx2fnOB11IKSBTjqFw7FTuASrGM2GuEOeE3tQS+8xxUffOEP3mP - dYt5GojI/vKlmkKKijcCuhHHLAyPksyq/Q0b5rXJf/sLtdx3ENzLAVg5qF9kMOwnVBk0KHfzMnp/ - 8Pf3fDdFmh7wVy92oU36735wfZKAgH32KReUKxE4uTsVcd95BnM6IEHznt2oZ56ejETvoYA3t1yw - 5bMqHz6XfQUUg8PULrRQ38Z0QXArj5BInjQNjEdS9MuTsaYftHx6HARFgvwakp5TJf/HZ/Dwcc7Y - e0Zy/F/zIjcRMf7iyXhLpZd0g8P000f6n/737b2M3a8+H68LjkD67vdoJS+dLcG42f/qEVWFtx3G - KLtr4OefdFXeDMOXDwEcxTOS4nzNx2g6NDAPI4X6p7IuR2/lM6jjrYbxq3vq7GBxBtQLuKGeFPH5 - 7Knvh2z0h9fPL7AJpSKB81wK1Ji7D1uRKEC4eToD1nx7itfu8XZkTswdtEehNvCZl81QKC67bz48 - DpPnXHr4y38eFvTYuA1vye9+WNGvYBg99X0DaXiPqP4abzGzykr7zbfwaSLv8oOrgwWbBV+xwn+8 - oW5g7YF7lB9p4NaNPz+fOgG/96U+Ik4nntFdZGWmA/mKU7BqlzWA37wHe9+87TvvmmFVL0esfedL - 88eTpN98CJH+9I67t/AO5N3HWug3fx5YuRE1uD/deYqkZCm//lGD7ka/ExjqSznvfdv46RtCnpOk - j/e7l4EeTYzsAurGQqm3KQiTCyFcCoC/hlriQGmHGKpUxQLb2vRSuLGPAlbPqa2vkA49CFTeovnb - FfJx4ZMZUl+SaCiLS7mMod3ATr1k9PGcMn8Cj1QD3/6hpnGWGW10QODfv1MB//mvv/76H78TBk17 - f9TfgwHTY5n+/X+OCvw7u2f/5nnh31T4cxKBjNnr8fc//3UI4e9uaJtu+p9TWz0+49///LUV/xw3 - +Htqp6z+f6//6/tv//mv/wUAAP//AwDUSaWO4yAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f90ed4c1c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:05 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '17' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 157c938fa4783b7fb76050cdbef6719a - status: - code: 200 - message: OK -- request: - body: '{"input": "Sample text", "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '88' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaSRO6SrPm9++nOHG29BsiIpWcHZPIZJUCTh0dHYDKoIgMVUDduN/9hv47bndv - XCBaDJn5PPnL+o9//fXX301a3bPh73/++vtV9sPf/+N77JYMyd///PU///XXX3/99R+/z//vzHud - 3m+38p3/Tv99Wb5v9+nvf/4S//vI/z3pn7/+fhxQQ5f9tOX0qO3E9aw2R+ZtizCd+/UiA3f6bJl3 - 79eISdt7CPLqumDYFCLOiyAM1Dk/qGzXU9OfUfEBpD9ii2xaLEWzt11paw/OLnFkZZ323SLz0F19 - +oyc1dDvlTJyQGV5iadseqfTGUs97EiyYxp7yaivdiIFQzhWJOgeFI0b9RKCS2+c7VRXS7mhag7g - 4/Xxvb4rmlBzcNQw6Y7MC/R11KsrTwM5u56Is5zP3QRBYsCHHnJmLRvLHNQxFNF9gQKq+t7NnPLn - QwPjdTwRvbUMNJtTEKJ0yE0WKB6p2tdknUBfuQlxm1Nncml736Ouk/ZsNwt1Wp8SpUZeLS3pAIfS - p5K1TiCYlS3b3oVX15kbXYaLux0xd3gXTd/1wWhWhCJrufdHZ65lxIbnjujYrrspmm0LVGU1YVl5 - 9RF9F8oFgl1/YWcBCkTlGe+BWXJNNutpmX5CvNnDnac28Ya26cZNXAnweFmIGO/bh0+3G+uR+TZ9 - 4u6Wt3Re4U0GLhIDCizZRNLSNmd4HfCR6Wf/1r0v1jpD2q0lDEvlNqXTk7WgpEJBbPuhVXwfHQRQ - XMEmui9V5jhaaw+uUpuTTeULPmNCZ8P+HXVYRfedOR7nxUVZH8IHMy+nNp3fnX1HcpaeqKK0kjlr - kR6r/dVXqHq5kIgzobJg8sKOOct51Y1d4ggg6KVA1btpRGIlfTRwkRQQ61Ta5ugF7gmg7RJiGwfw - f/EHuzaRmL+m+3R6J6UGpbJQiXe2Dil/Zcca3mBRQgIj5fydmgF6tbhk/skszfmqfgw4p7NNNDl6 - pux3Pbc+ALxqa+zTb7xDdCr3WO0QNmfIpDv0t3LD3Lf0NCdFWwUweEtGAv10QRMk1ydkyWogu7PW - mlwSDA8EbFp4zI6NP8ZYqKEki5gQ5qy78bquexC97socPXhFfJKHAISk8omeXkt/croFhSFaqcy7 - b91qKhbmCNvFPSYESRYad/pZgKyttpRW1oR6iPQArtVjR5dlvePTetVZkCXLgbiLOkWjtuKnxSjO - Z0ZevhV9yqtcw/DsCTm8JCGac9WxYLs8EKwMrdPNkjVd0DrfvNnWlLfVOJ9sBYXJ5/irB+bcbHj4 - Z/2Vn49mf3+Pxi9+sWKA4c+VdophFStvZpnWWM1quNeALF8SnpA1pl2RXGd4BGlE14I7RNN601Kw - Xrstc0dp4oOYKDnytm5Kzmc0RKyZgjuSWC8z95zafPzdb5O898wXTTXtc7bu0S0KGNPl4mHSnGk5 - cEd9Et3Kb+btRbZYyXhxJNjXe7+1/MmG9+taEuK1UtdFkpZA7r0JXrK1G4luo91VKE5vLKFLzvmc - URvVT+VFtoF8TLm1MkLYnuYBI6nGFSfqvlU2VWoSYniMjyUnCuj6oie7Kt1Gk+PvDbVdPloW2PTG - 54/VyNDuQCHmcKDp9Fh5NkiAF8RLnxdzfqypgErzgRn21146r6T1CPCUcuY2J98XC0Is1EptiU+X - sDKnQyiP8JGzmmx3vpnyx7yY0ZEPHV0nVVN9rtY+hOTlG7/7N0e7OHgwstAg33yNps/YhdAdPj5x - D2PEx439vKBrxDkdP8djNd4XfgN2E/rMDvtrylajUUOz3s5UHJcsnZdUtuEtpIxZ9eZlvrMYROVX - n+wmCVOGxy6DDxkFopmPIfok0+Ag0ZIexGzu6+qzkQobvusxTbzsUN9Ehxa25ithbqydI5ax4qka - lXFknhNvo1nbuLOyVAqPWC7xusllFxGq5HNmhqwK6XybXnvQuPNkNr+16Rt3C0DGokwZng2tk771 - TklP4ops2sJKxzfbz6oRdJTKVzFN536sLnC1hA5z5Cb+PC2yBGHP3jPDgizli6gt4ff74Oym5ni9 - vWuoi0uPF69R7GgcyopSK5c182aPRFMgaQ6MOmqZdmL3lCuabcDZqTldniWz46rfiMjuZouRy23t - 84e1L2ExJYzYxTnxx+e0zOHD7hdC9HCqvvmmqW+5XpLtoWvNb3xpoO2EJfG44qN51GpJYXoyEOe0 - eHedL31O8MmiDTGzg4Y+V2nfwDHAiC7uQxZNk202oDzuCV54rVSN7+IawLNYFsRgmzCdqTzYKMkc - kR3edcJ7UW0kKDZRiNeLOuVzEpUxpK3mseQai4jzT7QHz+tijIquraaV2gjwPB4TvIguBWKb+T6i - Z3AOsKzFW7NvJceCtT97LFDDQ8rZ2OUor+eRGENj8uVn7PZK2TtL9r0/PgvSXoI82X8IWdZFxdxI - keFe2Bviu82Tj8HtbP+p/+mr1k06B3oL5dI3CdGGIuLH0hDAUZs9CVpDi6hSQgzVILbEu2Snjr4q - a4SjoUt01yFqMtVvJDgHVo8fXz2Zzpu2RVF29LCgnlNzEqWpQZc6c8nBRH31q6fK47Bu6Huvnc3v - 8xLhKCoV8/DTq+Z01XlgHsoVM943F3GiXlpQi9UTD09txWcplAXFpQ9O7G9+s6NgWNBsryq9oJtX - 8eUiK1Eu3T22ueEGzfntLQKOrDvZ1ZVr1smmHJErxxFL1N224vXKi9e2OIZMX6xeJjvT0YP9U2jp - 7XIh6Zhu9CfUd3IhW0cV0AeCUIOVWOvM6RS/Gyl5PNGquFCys5Q16s/BVYKpzgJy0YNXOkZRaQNy - PAOvx4Ne0UU1zGiTDRJxc1p2eV/dDHROR5vKNzbxkcdiDrtBZiyYydXs4uNthLCIS6K3oJtTcHor - sDHZh4p1e4ymYyk6KrmNOcmu78ps3Ma5o7eNNPwxcgPNN+kyQ0daxoI8k3i/ei4UtAiIhmuHPf0h - CmYZdjojGL75Oh+1jQTDJXCYfXoTxNVYVCAh7cC2irszRz1sHEjutyUx7qpp9jT2LRje5p5h7A6o - HeJ+D/daWdD8GDI0liuewG1HE7JJq2XVD6MXQCAlGl7tRl5NXnSgkB0NTtfWaEcsTvTwF1/Efg55 - NHXFIYa2dVKyOUtVRy8lhMjpuUDLoan4qO+gBVmuV2x7rfOqdqQCw0pJ0C+e03HMrBH5Yu8TrJ6R - P1TFvIe19w5/eor4ProK6GgnOjOKXd3Rnx+cY4EyK3uk3Wz5axtOJ0Wg0rB7+zNinxK5L1/Do7hZ - oFaf7y0KXgUlX79bzWLpyWgfHAxaLHs/nX9+eB29c7z81tM2LA0J6KNf/fFHIw7lFnzBEMjmRUlF - v/q3bneCgsfrro7G7/NCgcx0inbHE+Ky7SuwOVgGnloo/B5bk4VuPQaGn9nKZG2Ha/QOBoUFu+CF - Jna8PZG6K7cYxEdWjftEOSmBjkO2g0NpzkbqG+jb32ClNHKz9cYqRqdF/aL0GNjmsEtcAwVL4uCV - PaCobDZoD+4i3mAlfco+960cwNyeJ2aK6xOfWTYA1I9kT5VrLPJJujYeGLdcY7sxXZrthq0VcB9N - x/StSaM//vYbD0xXHpq/mjfJHViVOnR+LItodqclRd3Kf1BJbZ7pfA64hrS6uRH/sN+lM8teAjiL - xYEZ8070f/0PEm9iz9yF3lVjJRWGEsd98PU/C59a6vqukMM+Yb63W/ozbEoRBiWocP5Wx2g8SZcc - KS7Y5Ka6efqxUjFGm51MSeBcJ5+aC1+Sz0rYYCXQ1+nIZF9BMVQFrr963i+j0oH9YToTM5KqlBfJ - dVQSFm/JL5+5gndPlOv7jM5BaHS0H6sEROd0wYCtpz+/rnIPvrPcM/tAPPS5rCpN/bhgEQ2Tczf3 - QilAPNArMY/8guZJ0k5wVIYbM1+nM+LXRKFATTxRsQjH9Ou3HUD2wvujj/NRmnpwnKxk+sOOTS6o - nwA5EZ/wtx77tEtKT0m5diHWZ2ejPs4kD3Bk38k2rJz0218Y8BaujG2mA63+rDc4OSVua7+78W0/ - 72DYkkin/cnzp/OmbFRizRFeXzsv+v6/A/ebMtGbO+BuGkcjhmbcvpgl5WU61utFAPvpPhGLX/KO - WfgI4GbOTLRjyDhHM74gyi4Hdrmce95T28xh73AX5+WrS3kbKQIq9OnK4mqpV8uwUQyU9kcfv6zo - ieaiPRooLE4lM67h3uRtNAs/fSW2v9pUEySHWhkUXFGGqhPnm51fo+n1VqhYerQqxdKQ1cV0YczP - tHM1StrKUj7yvcbrZJ90E7fWe/RmzzcLXqSr5jnRsZqIUsYcWBLEBVntQWmyhphJPVQsTtzwF29M - P1Lms9HfxyghzUBs922kM4sOCjDFjqkCx0/aYkxPwJF0YFox7HxufTyqmJfAZDcuWZ20SA69Yir4 - TiykfcxJ6FiMdjmZ2La03xH3wjxXB5VmzMOHrJr3i/iEZn7b0z4FguajtO6BB48bXXBEo8Etrvs/ - /OHnb6eketWQiXTH9FQIo2//NSuRcH5RSXr1PttHB/jpA0b6gCOux6kES8E0iRWc+7S/7fwQxQ7e - 4A+79x2nQUlBvEk9Hoth8IftVpDRT088U8zTicSmB/tHdvz64WvV353HrHjeJ2aYPYhPfXVfwswf - ezxLjldNUTLf4WE/r3j5PBQmP8V+8vPP9O3ne5M5TDGUIKtyRq7Hc0T58UZhbjydeaWR++PlOMgw - qH1G/Fdd+HO4vduw9l4hzVc5SaXHuhZgKegm81bLMhrkqN2DLc4h2Rmb2h/1FAI4Nesr07Fg8bmV - PiHEVREzXLyrdEgWPUXaaWHi9ut3vvF/gtpQPBYIqhWt5oxaaCzeFlXbPTLncH3KYHOSgUJr5OkQ - PXGOVNcHupguqjmE2q5HXSiazF3UCE1Y0EXIZe7TcVpm6RQLfI9wsa6JJyYhn5G8fELrOBq7h2B0 - k4cpRtfCC5jdLQs+XaVLo9wmdmA6qZYmFyXnjvgi9uiLrd10Nhe+CJacJMx7sdnsvjwM8DF9ML9P - RTRoV7n8o/9irZrpEm9vAnJN78Usro5ozDsbr/3N+YyXi6yJRtEWBXA978w2eJ/4XBPCHNhN5sR8 - TtuO02mpwPq8ubLt8ZKZUyygPUyvl8Lw1j52vJmCDF5RcSLe8V0ivhqNp2rfrx2h83uPxtXuuf/F - MzFI8jSbTbd6Kt/4JYHtDl0f+k2iCFDVv/6+4o9P1QNxwgDHl9ntaGT7PZwPb52+xXviz4pa2GpT - 7G9fv7ND4k4/g3KYFpROe5Skwyi4Cho22pKYAdXRJGqbGSkHnuEJ23U1oV1/gSc9v+l6ZR99vvXX - AQSs58QX8MrnH3VqQH9KV2Jq2qkayzAPVGmrH4ivfmr+px5MbFww+/2+pdwp5jsC5SRi9fxSImZu - XAVW4lNnzp49o2HFiuTXL9HPt98d7XYI4IV1nWhSM/kdOwojBEnwwFyLnt0oaHcHyaz+0PWXN0zV - eqPA1y+SH59kU3F9wpvVb7Y7y006xqtWQacGXSnf1fmXLzg5Ogd2z2yHWSajQUv/vF/3W/9nWlwz - 9Kr7D/EzbVXxp5xRuOrZ/OV/dvV9vyG4L1djDmWLlA871ULf/o6K/KJ102uFcjTNQsQ2926VfvnZ - CZ5LTWSmFj2rUbfyGh5NLdLV+95H8ze/0aa1CPOvfoV46uej+g6YguXd26i4vfAFtJ+yic5npeXU - UqcMXnvzRoU0c9N5mcul0lz2BA/yqavo/Vh7cE3uCyrPm1fF01JM4MuTmRYZQcTENOqRMwgSXXBz - 9IfmKJUwzRD9eJ0/C9blDq+oOtGZLOJ0PC2eT/jxW+fLOwdtChykN3FIfDs3/eZdHDBM2bvHy5iW - 5seymh75l7xlut650Xx2tjn68g06DcGz6ne2f0ff+MGLoev8aZ1JMZyCQWZbzyw62q9Xd5BmU2Ha - xtO6KSsjDBZLAjyWry6auuwl/akPty9vXgm2GqNQkiQ81NXHHyvpYyD5gm5EOy8Lf8R45yhKyz8/ - vobW9U4UUVxVMc2uV6Fjr40OyD3eamZ95pXJ0Wwnyv2QdDh/3D7V/C7mRPn6iy/P+3TTZ704KeLW - z3GhxhHni1bwQPqY/c9PmFOrXjJYTbZDTGLibs7mVQP2+bpmfnwh5iikhgKL1e6Dl1Zk8RUbqxx1 - gSd9/bLu81y6KGvzkK+YoQwK6otIeaJy10bfrqE3J54FinKe9inTs+kd8eJI92A0S0IiEHfRIHTs - hOyjLVNh3X7MXpb2T1ATA9NFo13MaZYtA/xL2ZLtopj96SZnmQKpFFIxIbI5FJMVQHg5xfR7/90I - hTYCGNKGbA61lrLDKplBrbSMBPgTR+ySbWyQkuDJvBvxU16OqQaw8W26bItn1OtSDnBiyGd+cYGK - IlaUaGu+k2+8GP7cl5Wkiv1HJB4c3XRqKsFGenMKmbHeB9EyFngIi1DZkc0+V6vmlnoiKM6EmVvU - OaJiaShQEjWmX/5rrtjYlWg9zC9G5PSYTo79zKF1PI3g4yRFtN5uGhAVbUelL49+1amYgHA2Qxbs - ppM/34Uwg5OXrEjgi3k1dfIT4HlZRViW2iOfb8m1kQsDDizSIqvj5zZoAEW3A0ZUqM3erFQZzI02 - Mse9Cv4spL2FuN1UVKo9zFf79lUDOO0CV5oc89l8jwHcgqL80w9J33yGXnMHolmhES1nOTBQBd1M - gpeYov72vMtwbt8YS/tzUA3Fwp8V11EfzKU1TafiLXt/+KkzbzbVkEwvD912fcKCRRl3Y4ZvDXzr - J9NtfzRpigVx/Z0PMPfrd/rb8yRDVq0Q804BN3/6DEpw2P7mDRHfCZWBDvZiQ5wbO6DvPMQG/mhG - LPMy9ld6975Ds97MWNTfhj8Nz3eOBHO5IJ46r/igXcdSvXlBQeUqeaJpO1YYfnp0fZgspXPiYgg3 - vs6273sQ8d//IXBkZmms4jNkQgbd4+SSHRwMvyuF8AmSlGzYH9611QlFGxmdmVbnBeeGne1/+oeF - /XVKeSQ5ifLVa+JLNe4GxdrHMBxKIFiTwnTA2xtAkQp39uO/9MvL1VCVGrZlV4PzTep7yBJIzLRg - /vi/+gzr9UZkztZVqmGdCTEcDVOi9zje8kZboZNSDVLL9Nrto2FRaLL69UvsNx+av/05qK/zDa/D - Zjb773xAAVUasJKubL8fRgOrf3i+Qm+pFMuBBeS8jbHcGUM6m9exRX5mVHQBJx/99BYEn5rMRwKv - mPUxKETmScX8ZNuIm9mxhF9+7HBuRmNQGk/o8G2FV7bjm7zPcwdOrX0g2LxWHT/dztkf/hGXHu74 - I3064OAoYx43hmr2/YunWJdBY0TlSTRFM7bBKmWbff0F59vjJgTncB+/fjH151qdcjXOzZQqX386 - 4dEL0XN1XLLtODXm0KqXO3x51Z/45M7atiGHyGK7r3/gVZzKyJcD6+sPDl++sLZBsbMdu74ryR+k - Ec0gm6mLFxzhdN6GzUU51M2D6Xe85OP6+AKUdCJmG+XDK/qbJ3z1GSu2VaHx1695e/dDe7+YO26f - zi38eJ05HHD0my+Ct/c/xI4BeOeteI9eN5oSN7hgNIgzdmClDzHZqXSsxlngGMhiRpjXWDKnhRzn - kPHqyCx28/xhKr0ZnH4SyK6nlf/jO8qPJ6722sp8ZWUa/Pg3FcbQ8r+8sYF6Q3xiuJ7Gl9m6FqGM - nAbf0+wTfQ6hPP/h/Xp6NfwxjXRPPWS3Kzu1alXNxumRQ+WLhO2u+103ffUc8tdbJtqJCSnXxgRA - 9uwjMzNp8vv+eLvDnkY3srWHNGXf+FdWwIB4zvrcDb/+7TtPwHOwCvk8alSCr54Qe9htzVFknxAd - wOG0+c6bqa9eSvjOO/H64JvdlD/PBjotni+yDz3sT4vCkVWbbjd0gaQnmsXuLqBvvaNLrnfmJDaz - Ba58ioib5Xd/1leGAy1bHIknDhpnT6Y16Mt3mKnJIprspBBA2usPpr9rhX/9dvhnXmxZ2ZGP1zjN - kcMfPjF/7+fEPif05V94yes0+vlHUJXlRIfzS0n5Vp2eIJ+eGbMeSufzbsVnWDSXgthKbnTsaccn - +PXTPtFcTnebMIThgh2qWsqa82fh2kBL2WdBYy1SWmn3WJnV9siM+8ZC002O7/D3b1fAf/7rr7/+ - 12+HQd3c7q/vxoDhPg3//u+tAv9Obsm/RVH6N5P+7ESgfZLf//7n/2xC+PvTNfVn+N9D87y/+7// - +Uv6s9vg76EZktf/c/hf37X+81//BQAA//8DAD4Xe6XhIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f921e231c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:05 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '112' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - e6fbdd05f0df6797306b451386c21076 - status: - code: 200 - message: OK -- request: - body: '{"input": "Grocery list: - Pancake mix", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '104' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R62w+6zLLl+/4rvnyvzI6ISBf7jZvIRbsVvOBkMhFEBUSu3UCfnP99gr+dM+e8 - mIhEuqmqVWut6v/4x19//V3FeZr0f//rr78/Wdf//b/ma497f//7X3/973/89ddff/3H7/N/3JmW - cfp4ZN/X7/bfj9n3kY5//+sv8b+u/P+b/vXX30a2TMmuuL7N7zW+RuA/qUSVUsL+KO+NCgzzTqlc - n+N4sIVHgMrl7s0scyhz3jTaTpXWkcduVmHx6dyEjdI+vC8x0gzlY8zWBcpd38ZCCpPPB3dDoYnv - Mh3tdDDZMWE2SvBhZOQjirx7OIUHrxLLzNbrlz+9vuIB8sOrICcwPv74rKoAtGPcYGl9wS1b6nBH - NDV9WsgU+IS2wQmOSfxi+zw/8YR5QgfqW30R+8ND3vrseAFo3YAY+qqPm+e+mpSP+qVMaxOC2NT1 - DpRE7ol32Iltv4rvMtKd/YpthOxtdnLlOXBeHB06vr4s7sqkbVDmDxoxjfdk8tNSK9XgLdR4uYgN - c7xkowFRkV2YfaUuGkX6TYGk46ZX6zHgfNwdNPics4R4+82y7cVxPcBZPH/xYkX1cFomSIHFORXw - mhaMT265jiA8xjc6NeUBrUyWdyopvZy4/JSgXrltFDjHT0b00fT9ai+7AYi9IWLRFax8lRJ9gJWd - I4pa+RZzSL0XrILAYP7B03OpuL8v8JHzA/NKCZu9TXwZ/M6ZmLNr9v6wM0kAi9f9RYea64iem7iB - 9N5s8UXzWVik2aKB6hJrZLcjl7z/Pl0B8DHSGMkFNe6EKNtBc7ncmUXPetvU4cFQe2u9wPL5rpgD - XDsZ+rxRaMZ8Le8acujgTsuOuR8xQ2y4VwEaQt2i6znfxEXaigDaqGNBPFshc05ahp7+90gsXcfx - IC4fFtpWTKHFe/1B0yUxI7SuhhM5INlvpxfYHvjO9cZMhx3ModGdBCoF3+h6a3PeHfaHDDaDL9C6 - thdmz/H9BLJwNyh93U1z+GxIsj4nh9MvfjnNVTNFdVG2xCefY15Zr1UKUidgorvqMudrh19QtBlj - skE44jy5RndYhEKBp75nvEvxZ0C33aci7tlXEd+jpICrGOrE/Hy/+SQpR4rCnEYMh6OK6OZCX2iO - PzNK3IR9bo4eWHF8J7r6LHl3UYdMdXkp4XVwrHx2dzxReXxOJ4ZTmMz2aSMHgk726KLI+7iTrIwu - sKJ2zLqG77ByR+OighHGeCg7g4vn171TbvtoT4h3p37321+wLa5snwV9OFBLtVC2qjriyscwHPdj - 2MDxejWIfVqM7bCNuacoz/JNXw/WtZypRgTxKEl03ezqkH1rQ4Yh2mTE+mgFHzeifAJtcD546INv - OJqfZkKHw2tJou+pbNnioyfo9nm+iIYLORzATZpffpFN7TJzTBCIAEVxZycZ2f5QteMOvqXb4skS - dvEw7xc9H9uWaH6T5fP/D5C4u5BdbsU77E7V+wRv+n5iOT4cQ36oHA3Wy92BOCBLZhfc4mF1xYs9 - /kipz4esFkplees2xGXLa7zc2mqgnKvuwMJF9PK7hXcU4Ko4Fts8Njc+rwerl+Co0nWYkXZ4GFkG - UDcy0S+6x8XFtOzg0AkD0WhOUaPerjvYDK7ArPf6w7m+sw4Afpex/SV+x7Tx9Ui1X7eQiolJWxp2 - VQPbwDew3PDO7/rm/QKzrlvi1JmVU/mxxsBvUzvfj9tpJwsBmMV3T7b5ZZ2P6+aVqrER2WyrPiM+ - KP67At0hK0Ie1pfTq3RRYCktJcwnsMJVoOxkyIB5zPZue3P87r93tOikmLln7dW2Rt1YCkzZwMj5 - k8VUXZgNwnEG9HtzYjSo5BKgxVtWyEZvQ3MSQyagOb/oc1d15uQwxwCvuZnMlY88pOIiNWB0Tis8 - bDcBGuUljVBy73rMHTb436RtDrDtrZzsk+Tij86Un9QBKYg5F7lBU3C2UsiJ4WJpG2Cfl6vYQ9bh - uabqZkrCpn/YAbjm+c1IcyvyYdwoEYTK8YBh/xL8DtejBidJeBNbTyTec0W7w7TRHLa7wQ1Rl5wx - 3JfgkcAmfH5/dQPB/eOzbZ5nvBLdr/GrX4KNY84n238VYJ2kjBkfyeQc3KFRneZZ03fXFvk0xxfc - Q2GQiOwSf2TxJ4DEWjVYEhZJzrD1KtHJHxtCKhSi4aIOL/WYDwKu28eAhuQCEdobt4Ho6OigMRBO - GO7DdkvsItuFw0q6R7DKp4Rt5v7FI1nFwMzLgmaHZRT2YzOJSP+kEdOsi5KP+zGulCoJTLoQTh80 - KfqhU99LWWVH9WnzoRf4HczQ4sQeV645bT9gozLvtiwuBBPx1SeUIP/KOnPiasW/7XssofYppx8D - lPYlRWIB6vqiYvnkTnmfvOsT1FCreGWEFlolC9GBnL8jYrlCkU8VQpPi31acmUpco8FZHwDFqaiz - zVyffLHvD0BDhTD9fhvD4Y1uHtoMQk724SkLZ37SIf9NjsSzzk4+9iiy/uDvtjcfPt9mh0Gd6vxC - ttT9hnybRQOQlG+ocnM9PgXEkFTDWjtEf7yGeLyqVgYzfyDaG0/m+zAdALxhAQQn+xufVp2e/N4n - li7Vs6XMHGx4NPeJeUBeYR9K+xIGSXwwd7PcxdyoMxsc/TOxTTOpfg0nt4R8fY9pMfdTbj9xgp6B - wLC6t612eF7XFG2XQkwXbdP5023TvYDl5Yl4tdr7/PXGFSyM1KOSnlz4eCycDrrd90o/nIXhsKPq - CRz9O2Fla734OF4qAezVNLCtEVp8kifTQst94BJyG54tOxphAW7VnmgWm5LPuWcaKNiWVxrS6ykf - gT5s1A6CTldb88i7p/bIkPUOUuI+S4t3V/Y6QIE8jypP7xlOt/FeoM+2tBkJr1Y81I8XANmsMdGv - QRBz4xxhuMaxS1+hW5kcplOkTo/NnWDhIiNGn0UByo2lWHi3Xj4eA+qBftMS2uSMmN2OLi/AFvuG - eJJuhKN5PCig7tMjs/unkXdmF91BFKOA3QzaxxPn9wEuqWay3biKTR5n6QmdPsmWGYt7aI6WqVXq - 973dz/spON9CdwCR5phYecZRJ1kNBVmIDOYH3ZA3LNIF6FLlwpxvt/eHTA9EZNwHn0SLLw25oSJB - uX5Xmz/40HmZYkN5vDn0edqO+WREKIPlYyFQiMKWT/fVCcP1cmrZzF9z3hv2AM36jJk3KXk8BkKy - Q+6TJ3hofCfkz6newQ+fvc/HbqVTeohQiyyV7W/nq8+O1G3Q16aISkYvxMPh3fwb3+Z+G0/ZyhWh - 1xqbGfXZjZdPacgAi5GI1Xqc+OjvYQf3OsMYrujjjx6vKnnWCwRvlRGxMtcDYF8nIlotLHxuveMU - hLH94Ka3dubKjLYZ9EmY0Gk9bsxpkK82aHlX/+FD43fPIoXvT4xsVOsQVkuhNkBUFh6GcYV8yrTP - hPKlOdHluTzF0wKEBn0lOLBkR6R2jm8EblWfKHaHOu6Puy5DbfHa0FrYNvlAmFIBtVuKByZewvHT - bGWEyVYjFitdk/vXpYe0wfsw/92gdmBY19AqkhRG6Nia06kINDCOV4tt88stH1pzNfzhA/H1qMVj - LR49KI+xQ3USl+FobRbCD3+owkrkTzh5TEoUkCuzw0sejthnGOU8j5hGlk/UmTW2FP9eRWxP3XXY - +eqm/MNnMSm1fDi/AvrD05k/G3z5ap8FuPdOoOWsRzp39E5ozc47uhQy3Zdwcp7ADtUrVr8IhX0e - mZr6uRcKubmnkTP2oTsk5PPulOiL+vZUXpCruJTWyWrXjg3uKHiaNrHt/sj40LKPiKIBAuKZQ5T3 - 8rK8o9f+qmFJrzWzP/eCAMtVE1OPnnnLd8sAkPt1FDzrOdSBGWuwDVyDyobltMPHiBxYpkNOXKX6 - mNy5LCS0/FwTYlI2x7uLRQgOCSG7oeQtPY6FAHnnKszc4WXb6ivlAoqarWjwfY6c13KU/Pgd2dfj - hFr7aaewdwJOsMZDf+Q4OMHGbxhxt+k9Hhl301+/ZLbrbFrxeZRt6AdbIj88rtabl6GKX7iQR+FY - aDKsd6P6J36my2Z6+OOwNi310roiHrVK5oP1WiVQXg8+zlaobydaBjsoHqimlXpI8mIpvDWY84Wc - +XXHqa1sBOi2rzVGcfLIC/s8ZshS6Y1tA+XBuSs+KsSek4J/+NoLq7cmn26az3b83HKeqsxB66vK - yOYbrlqWjLkCAkFLpk+nKR/E3XgB+V7W/+bfa2E6gYuPBjGLi+ZzFGkKnC1lRbTGd2K6Ji+Ah54h - 2pK9b0plENAfntAJ2jvqH+HRQvN+iNPwzuSO0QPM/Rmv6uKas3MpX8D7nD7kPilmzMXikoHhqiWW - p2DMqVuu7/AI9TNWq1cb07RxA/CnvmW6tsz8wcMVhjn+bHdFG39lWxPApLVPpkXHGI1zPUPcPCP8 - CkwVjYursEOrz0GiwnVj+6xchR7EqZ6wH98dTC27oGwqMOVv8va5Uh49qI6XDMPLW6Huqn1lGPSs - oSq3Sbuk9TJDRhJ86EBzyutu2nlgqd2NuFlv8jF9JiekNC/z1+8RS+6EAk+X7g9/49UlqiwQl0qH - hwfbtY0X1R6Eg3OiK8DHsO9zLqNKPF+wfP6aocT5fUKm3ayIdSpqc2xP5QksJyqZW1wmk4lIoWju - j3jZTKrZvEcNQ7jcTXSNtDbnydjKaNZfZH/nX8QVDAI8ijdjrlUUaDh4NoZIMgZGOiNAg4dfO3XR - XnRizPEconRDoTqeMrw8l2I4w2IDtnPRyHZzzzmnfkDhUeSMirnXx0OZ5JXKBu3A5vpvK+2q78CJ - FgTbQ/nOJ8zX8ONjWOaDEf/0m1KzbMccjb/NWS86sHyoAvHfq4KPsixTJMmfD9HxGfxxv/kUIAlp - xTa7OjUZkaLgz350W7rkg+c/ZOWXT5K82fpj6hsp+pzYCguvqW4nAd8O8JXThrnDfRsO4edpIFUM - nsy91DRnt0tsg4fQY+abBe+pfpxAPTxtKl1pzWd+UUJdFC3bSUmDeiTl3Q8vmCYsvHYSwy8oLg4N - Ks71RAV8DNCEpDMdbenS8psgiEgLdoRsTNdEbI6HogpxTF9+k7WzX5Qo9k1fEnOCIubnnBogHbKQ - /fKLSVvB+OlNFlxa0v7pb+DTjNlJq8US7GMBvWAcSL9cVn5vnzcv+Dr7M7nclxVntXxIAPXDjhDh - tEHDse8b9MNjXr3V8HMsHAqFNL6pKKPSp2aqOtCVak0nZ9P+0c+qN05v2tOL0YptHAMotz7Fa34C - VF27h4Cc5lETH588c9IJK5EWYEJ222cdsuhwTH74zWzNJ+H02d1sBA8MBKubYzyeRzdAa0tAxF+Z - +3bWhwfwHost2Uhpi/i39mQkPJwL8S5Gi9rS720Au7KIbfRpzJ828iC5037+3eeDFIklRN5qTeF5 - 9/LeG9ITjJ1zIO4iCszBei0SdFLzGx7eOPDHcy8B/PDSPUdbc6kb5gWU6XshXilR89t65z96jCVX - GiO+QSWsvWtE2OW+dNCndloLbcVEJ5qDmnBY30ZFvSfHnu1SNzfHcFvtYPa/CJFTnA/pS7uoYDcW - HpRv4c9+VArf5nXCip9s49V14gW8lUXMNCs30Xi+fWxwnXhBND2x0IqniYJm/4CO6Xjl0w6cAs34 - x8izvHD2yMMKRd5yzbZl80acrLcFPJeLnI74nPi//FZnPs/cc/Q1vzXaDtCtgwqL11CPOVO9+89P - YA7IF7/P8MpCU/2+sN1kWXHv7ARFmf1FrASoQ12w0WXFG1Qgm530jceF2Z3QDSQVz+v7tx/61asH - Fb7vN2KrTyhCtxowS7ZPN2b6ajr99D/RK/uEOH12Jejyc0eFMr7mQ6bfRfh8NQmvLzVumwrxCbJ0 - EonbGRoXP5fGgIvPLEK8SWwHAyvFT48Qc/ZjZn2cKbP/xTZ0Ycf8mHyt9awPCEnPLKzt+hqhZenp - FLL14A8Gngr4vIUI94dP4/eW6TTQIlslzsbftlW+PaWQ8PLDtnbrxzIOTiJslxCzOf/9YSUFEbJT - RaYc6i2f9GCtoEUIBdtfsGz2Mz9DtzLYsNkfRMPkgwFofcuJN/NBtoUugIndb0RXt1o4Gs/aAWFw - fbJ99H7Ogw831vo2M+ji5duIHypNg+TJfap8IjWcLol/X6sLrFFeyswfu8lylGZ9xT/+ZE6H6y1V - ulS+sHDVjfFULRXvly/4FbqOOX930Fzf5I/+n/MbrP3DIq7KLFO8ofwFVbeQmSE9EjSlEaXIZBkl - /sF7tyOSWorqlH3xdL475nDeORKaPKv85SuaNkZSIce4Xykf9p1P06ikQCPoiXFYyvFgW6kAqUhE - NvtjaFh4R/jVD11HT9ucqvcrUFYSPzB7XNUmm7SFrShvC4hhCV3cz8+HXSWaxGc7PR+CjavAzDdn - v8Dl4q/+fvlAYjzETBWuDTx2acKc5W3IR3rOG2SXhwv9htuvOU7OofszD/FiOfcn/tRkmOcRxK82 - GRqKfWohIzl8yN0ngtnEbFPCJTVM4jrQxsPCOpygXn2e5Byqttll56ID7hyO5HB903yQIihhNdIJ - B2Ex5KOSHHZo7ek3Qlb0HQ6bwh0g2vCY7d/6B02PXZ6ojXDriBscHVM8hoGDNE8aMV/4Eu8OSzH4 - 7YdYXGCtGH6uBnzVt4OVeX08abNAPbvqmTi7pveb2Z8AYxHe8OL8MUKx/14xHDoYmLvvorgP34ii - N82fxDidHvznz8nF2Jts+xK9dlhstxW6taf8p49ydhMECX2fxcQ2nIXx1H5Os99fKczLGTN5sgAH - 9F3xwtX3ZLdDUSgHJK3vHu4ji7X8tHRKoPrnQKeX1rXTa3FIIREyGwvqZoypItgn+GwLm23HQxk3 - i9NdgcdDkMgm6sNwqHf4DqGnI/zjp7zaZXcol/hNdu75xcdJEmwI+MPE6maCsOeKc4f5feI0XoZm - 5awjAZaahJmDyBZJv3qIP3eF7Q5iGXa4XmvAFqQhXtVt2qXBuaEeXPf68798Pr5qBc39kuwnWvs/ - vaiql5PLDoc7Qd3PHyyTU/3jE3ySVtvohzdUsGsvFpdfS/rDn8V0KlHvHtwdRJF1J7vnNJrj/DyI - Q+XFtHh9Nqc7lhM0+4dkt3+l/uSn2aRqZE2ootwcNM+fDPXHBzBKTH8o3kz4vR863K6lv9y43gFm - /MYQXs4xe8mNpPgYJ8zayfdwyHrnz3yKWfN8aeIfL4OV/UZEzy/fdhCCV4G8cXgzywjOiKPIkX/8 - luhda+U//Yp8uaA/P4D32+5N10my3+Kf/uW1cLdg5rtMB10y+aVbCyA7x4a4fpvnY8pLDHSUPlQs - 64CLxf5ir3/+hZ4Yi3bEuRlBpFGVKltLQ1JHX9I6lcsHM+/iDQ3Pzi9h/3Zatis14s/zlhJmvMLy - Wnj9/L0JqP49EBI9ZXN09UGAcz9Rtqu31GShZpewCY09wZvIQOOijgalXJwfs/5AqPLwCyuK3uzI - cZ4X8kceV9C1l4DpdfHJu6E6vf6sf90+Dkia8Rny7yZhe4i7fI7/HbnLzYHoU7f2qVW51vrbZCey - 80onHr44jODUZB/ia1+bL1db1/ijj6/xSjR/fr4CoaUxi3ynnC32nwDh+AXErpQASfXt2MBxI1bE - K7ZL3uqviwODZMrEU24VGp5H2UKK6ZTEYf7U/ul33/2RU8VUdc4122uQWCcDM4111LZ1qSqwNE4V - s+zVp53x5gDa8dYQRz0kbXMOVgl4r8OWHE+54k/33LugYz4JzFNfW8S1Uaaw4PGJ8uzl5GMemQYQ - fzj+8D+s6TmvfvNb2m6uHLEY71J4PEAim6u18fswVmx4BsCYVvWrdkwOePrxIWbM88SRsYWDrGyQ - SXgX15wtb1GhznyBvmiO0XTaqaKSd8KTaNvNhOqnJL/gN/+wi6yLJz9tBvDNAFF6uvRo0B0ZYJ2h - I9OVaIt4StwJ5tkelujg+RRx5w6yEza4WYo3cyyWlQjBOeuJLgw4LNtPooDoaRozFX4Ipx9ezfMI - 4n6+t1a8fW8V1A+yx+InauPx+/FLSO/VltjPPQmnrRodAH2Ri4e53oeBpg7qr1hgm+37Nw9ce8Cq - amJWOtlo+rwa4ccH8CQ1tj+IbxOrf/9OBfznP/766//8ThiU1SP9zAcD+nTs//lfRwX+eX/c/ymK - 0j+Z9OckAu3ur/Tvf/37EMLfdVuVdf9/+6pIv93f//oL/pw2+Luv+vvnv13+x/ys//zH/wMAAP// - AwBhiEyh4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f93cf221c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:05 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '14' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 61f436a4ba30aa3e6f6d7866b80a3a48 - status: - code: 200 - message: OK -- request: - body: '{"input": "What is your favorite color?", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '105' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VEpQ/rDgGRkxQBFSeTCSAi4IFTW+jO/u4T/K/s2fvG - BEqCpX1+p6f/8Y+//vr7m1Z5Nvz9r7/+fpX98Pf/mu/dkyH5+19//e9//PXXX3/9x+/3fzyZv9P8 - fi8/xe/x32D5uefj3//6S/ivO///oX/99fcZ6z7epWjZNRd+c2GRtyvqQqWnQj82ERBDVShmht5N - WA56YFJ0pbZVPTouvwUfrrvG9cB77RFfZd83RKggVH1kliZoF9CR7qmjJyhojcizojZCx9zCnvj6 - dJONkwRuj0tND+JmCPuLuFNAMymnmr3XK55N4gLoxtGx6+WmMz6ObQnP3TGj3uUhpH0FlQfbyN0R - 4fZqU5IfQhEVoVZS43ySQxruvj1Ir/sVO/azQN/X6xyAGBxib43vV6dXq4ChUv5gwsEu+JStCAM1 - Zqr3OHV69fQU9S2TwnuSMR8+DrMR1Gg7LFrsnnjn8EjzTZQ2ao2PdzfUxnRzecML7As22DVJm/au - l+Bdz50nDuo6HGtUCnDaZwgrZpo4/O0te1Rbh7O3Jf2T8+Ai+tDsLhlVtTvveNGRN5KbkVBLuJyq - RihNd3t83A7eqmVauvYOuy8kxQd5TZZv+cTvxUIGMUi9r6Rt0fTaIBUV7ftOxjcqK7Z7dhHczvsV - maztwpmUt7RAr5O29QYqxpy9rgcTtMHR6OFotlW7iU0Fqr3tUP2c91V3fXQ5uuvwJKOxwmmrD6wH - xWsd7HbK1mEH7aiCn8d7HHDjFY59USWyI70xeWLNRsy2bSbt5OOAnVtQd71ALxfIPt8zNtqhrcZ4 - SQD8RKg8yfCg4siNY0TYN6Y7Y0XT0ZUED7aSsCRTVRl8BX26AbxdrAhPZVyxi2ipULhCgq3roHaC - 3/UxbC7qgR7r50Xj1m3no3Fc69hzViSc7vs6QdZ5nLBxDHaaWK0yE6JT5FG8ZZFG+9XmDVlRnbB1 - Ejhi+/EB8K3eN+zWXd+N9cOrYa/eONVUtqvIcctFkNJ+8JgXfRHD+lOEVbXNsRejHPFiC720SuoO - 3yJ/EfLddPJhhbIbNY7BUxvqISOgvw4fbERkh8QtEzJQzYtDJKWzuYAbAUAyLYcesumNRn17jWEU - FpTuTo9z2sIRC5vWT3RPqLEfTvVaq9F48HrsWNRwxot98SEfJ5cq1VNEfUfHDZAwcj2Z6VE3Xt9T - udRz6UH3ZP8OWQvxG5oj2+LDS1HDtRLta3hMloBVt3t1/N30JYqsMcBHpgvVuPFuNnzj7eQt7+Oi - Gjp/EKH0Tzq1GA75GLS9Cq3cY6xE65MzXadYgO6QbekxXxthfWcPE05SpOKsqD0+JsKawNHyFOp5 - p5iz81vLgXEcYq9UA/QSQsmAMowpPmkf25kCPS4hsniAlesiTifsFBuZGIpCmrpfhTR5Ny6ELC+o - U3w+3QRNbaDPd7EjqF5pGnNifyPjplhQZWdcnQHHS1X61Qu3woZPpjxEoL7aqyfwzudCvUi+4J6w - R+1xTVKapeMCHDc540Ox1bup0soLNB85+X3fiksUjH+vn/pS01ENMhHatxV5YynUnKxRR1D5iU2y - dvGkkSx/TpBzWfK4FNNqYK5wAc+4y1SVWRfWnjrFaLy2FbVIv0PDuxwyeKieRuB5P6SCWFMD3Q68 - wXomDSGJ7i7Afih8HG40zeHfoibQt4ZGnXx1CSdBBRPdU+tL7cNh5Yy7bRGBoK9E6sBVRqwfmwsY - L1XGh9u94hN5Jhk6QcXItjOXFV8cxQ34x4VHPUESQnZ3eQ6256X0h7/U7GkMCLkudYT4WTG6uyjI - fXkfrHZjmbKyH77w3iPF2/JL6kwXsgVp/15r2N2cTTRF28aDr0o6IvCJdJ1ZbUrktdujR3a3Whs3 - 3sn8Uw/2Y/NKx4hKFxCcSvOmbHx0bDyFNQoO3pXi+5hXHcmQi5Kj/sE2et4Rie76Aoq7f6I3hjli - maOrMG2vjB6uXVD12S0wQR7OPjXoUHDy2w/aRVt6U+bVDt9Z+QU+yhKT6lMQh3wWuwhtF/ETW535 - qOb5LNAVThXdhfa3G6stSgBOa4cqq+LB2fkjSRB6VKO7Ibf5gA7KBC9bHMk0RXY3iPYUyHZXfKi7 - apfOtEYVkau96ZBFNRgOY/fJhwx3JXbylZjSCV4x6FeeYmsXZ5xoeFBQkZhvnCuF000fijzk3psO - qzOeslEHCRnf+kF/9UnN/pPAWgmDmW+qlI7VBsCvP0e8W0srbfKnLkfOjTyxam0X2oAOJoMFNwzq - VYOh8a25LdG5F0NsBYMbrvr9opbuy/eG2ubWSP/wxTU4aNg7a0U4zvODz+QLWJvA44N+5j0or9DG - 7vP+CbngBRmUkjZQSz2t0ufLKTI0Xr8VPoybtcZj+lTB3NzfdK+dj44oG0qC6vftia3cbxHRQ0eC - 9PxQsWF/ruEkrycPvkJ2wGeWcIe8T58C3XeiiI0yHkOy2ugi9OsYz/jSOkw5DUya+RXrSw+nY6P7 - ujzzL9U8t0zZa0QLOMeCRJUm2fPxjuQczF0yYvc7tekg3swEud8oILz7OFw4fyZJeh2oQbot4um4 - 3U05eEKzxoqxfKGpOrEczudTTI+bgDl8WH9V8FeaThWur8LpXiotvGxhJHywZd6L08qT1C79kMXj - /Q2pmMcK8OSYY69Du048Kdsv5IWUYw2dTG2QEiLBShFVIiutqrGAagH6nFIDu9SLKuaWaxc+K/Hi - EdnEqCWbR47WT0ehJiKDNiK8bmGeD47Ut+NMfn2PNgkKnoQTTUz54riQEAkvLt5pRR+yzXcP6FTy - AwFNPaTch+Aiz3hEDfwZuuaOVhkqhPOBHlilIHLf1/EfPra37piOduFHcmItYOaP0WHL2+CB09ox - KZ2OOsxTpVgeVrVFZz7qevvSZNB1koW152cZfr/7OAeL7xcEwfWO2HXNcrDkqcbu6qB1Y3h6tzDz - pTfkayOdwvWWoR9f6bbaIe68ripc33pG+sUYOiQWFB9CXjtkmZ3t6oeX0m+9f/U+XvjNQ6u1tPYW - rU9Str3nBNXW/oy1qzhyQo1XCzN+kaUqKZyfd9cJ9nf9hmc+D/lC3AqIr6sWG6LVhVyCYALloas0 - T96BxuzhnYOdGozu5a/O2ea2FJCjOm+yNHDF2cqZWqSWRU/3VVqkPFhuXVRw5ONjtF/+G/9XFcqJ - ZCm1Qy5khG2itDbhXOu7zrpZATq+FxpZQyk7bODxhLCYhnR/NKSuj6bWREZsfqnbKTeHRVf5AlH4 - hD96lxX7yoDDx/Mxfi0Th+XZqAC8xBor98VL49qK2XCy1Du2IblUPEu3C/SAuCLdgxA+Lqg0wVKJ - A3pHt3XIvX3gyvzSAD4O31b76WNwql0046lZkRkPwZFqjPeHzEbiMIw2tEMQ/1u/8Up5Q3yId9Rf - FUtEl5unL6cOibErVtdq3LwuNvjPXUfdcrpXY1btVPlz+Gbk02Vu15LQjZChWxgf0Eab8ZO7sFe8 - PbXb9NitCnwDGP3ng57VTKjGVf8uIBhFSo/+sei69drNkTK9LnT3eOwQc5zJheC2AmxajHA+KPkC - 1O72oYpjaN1a1vw3KoseefLW+VZjvxffcBXL0PNbcYvYS1FNeEF9JAvA63T03GcgK97XocF77DVu - 2dyEUPXfNEwdgY/nKmxRf9Fb7CzU0WHq2f2iEJsS/uPvjqaqgk11i7A6wRX7tl0NDrsWWLmUddov - PygCgcUO3bfrpzPBEYvSvSQ1PVwmyXlHXajD5SOV2AmDK2dCfIp+eo2sb/Xzpw9NqJ+6iS8nSNLv - fkkM4JcO6EHhY8oOgihAZkkBdhbI6vh3cBL0UF0Nm0Cqilg710duxBi1wreOGHH3AZx26IZ3GKq0 - tVXUQ7p7NPR4d7k2+8t4+w7GM81LdUL9QmEMHR5dROBgvTS2H68AHB1csr0ItkOwU0jwOFSZt/bv - x27c5bz4rRfe3QYfsdKyFugpGhWRT43Qjf5nbwOSbxKpGCmc9gMnSb4GpYS9t+VX7M27BB5L2NP9 - 5NYaLeW0Bh+RE6n5RCq+vAsZ/PSWkrmRNj2rjw3rdoeociqJNiSnTAHxbYzYq4a3w06mQiC2PhRr - +z0JSZY3E+SKyqhZiw7qesdzkWo/t1jPdhEayRQnSLWrLWFUZNrsX9/olQZf6jwLRePewWqhmdod - WdpbWavJSvHggrcUW6PphrwWQoZKnJ6p6/gq6q93p0WzP/W228uHT4Ut9TDXD1l81EbjDn+ZcKTC - wqsy+e0wsf7oSF7vJWwk9uqnny8w6w1vKRzVdJ0mdoFw4bnYXrifinwo91BzOPQekDNow9ZXajQc - BANf465xRl7EE9RatMd21hbpWA9ZDx+9GGm6fhvdWAZMQOuPcKQxL8aOxTkyJGOrXvChPlh8OheV - AMOzZqRsjmL340tkEgJ0N77MiqljsZFkqcuwPeMh4906A+FRZl5PzpnDxGOrwzvgZ7yf65v+ySfG - x5qUao0cCrvGRPw5JVSNlG83YF4JQMf7mtqkdMJBUT4iKuUXpuZp0ab8SY85ile2jvd+eu9+9YbU - CSqs+/kl7WM1F5AZQUgW2mdCox2OrbxEaoO98TWmpFt+RBCz6EB3nVqE1JRWJejXMSXyO/w4xD/6 - F3nGEwLL1qnW36Lu4VrCiI1gFSDurqI3ODDK1PlCgVg0tTb4XZDQ/az3iHZHJlhFdiObeX+t27Oc - Q3Ivc6IE6bujxVYg8k9fGTtRSf98r+XTV0gjYSXlu+nmS7P/IWMa1w6tsflFz/Jge5H2qKr6vhgC - mP2mJ01N4/CnJV1+4yQdhyv/rQd8lo75wxNEZrxBlwEjjNOz4IxpqGVgnB4pVuPDOxw7/yWgy2dT - 0qtkBN2YaEcJPVNJJeLqyjq6JXr7xy80s//uK+g8WB3JhXpK0XW9+YwJ2rVvEytBalQNfY39z49S - pyD7kJ4z/Y3MlbgjBQSflEldLUK73qn4UHknbdY7G/QnH0s2VGvzc7OAS1JfiITPfsfXYTHBevjc - yVa39XStfUpV3hn2xpNnfhjLYCOgMOjv+FguaodXx5sHbN6lbH7feMrOG9jkW5XeHuqrqpToWEPh - igkR61ORTh7Va7QSRhdrp+cr5Gb/iQGfny/8bcRSGxcLZQPGYnzj+0gPvMwPqQClH+rYOxC/49dh - W0M+TBPWUplW/c/vCS9a0z2ItjZ5qPLBO71TuneqbzcW78sCpspuSOfIEZqebmlD9mnP3tqSXilz - x/1FUnXW4L3wJRU7CAsBPadqR6S6ySp2K8oSpOd2RR0mLNNxypsI4jdCBC9YG1Katy26nr8vT0rb - hjdb36x//h1jqfTQdG+XBbq/A4Pu7gKpxqAPc3RkZMDmoB/SP3pK8sQYuzeTaOOMp9LMl9RK0IGL - 37H8yk+04t6k1qlGuY1qiImy/FM/k67Lk/S9EB3r473UZrzOpdn/YV+8xSFfZEcFmhML6fkRlR01 - K1bCajy2BJ30RqMNkcTt7Kfwfj9eK66lToSWUj1hT5bsaqKVtYFldSe/+gknU35doOkKoM5WTdC0 - 2rjidgIU0N0bld1vJ8Dn0GbYucOdT8GNGOgW5D7Z6sOSDwMrFuhUjgdPPAZPZ4i/T4BubBKsD5c6 - 5DfzXICHrjpWWXnrJs8acxAlwyaCh/SQvw1ThDlfxPau1tKp2RUBvMbtB3vrvHD4pwsXSNwfNbrz - tWc40tdIQJaajJonl3Zjty0Y6rkwUO1b6B2bjD5CjhufaaymHWI2Et4w85O3Wd2Kqr9/vgEsuuWO - zvmUNo5clJD0elypeUsch58WOwZN7jF86DPNEVqi5vC2shJnQa915HWwPHjFtuyxmT/Z63X20U// - n9Njjfrx8SRA4uaF8bLcO8JnbQfweYoy4bu15fCJPALImGx6yx0+duyg7VVk7y4HT8y0mk9LIiXg - RhOjeB4fwdy4cLhMN+zaVzscLU3Q5XAvmDgIt3bVHcJpAUTNchIn7h6hvR/p8qaUMqzDwXSm+DXZ - UIS7kupJXvLpyppEyqSTRDWu9RV/fWQdhpcd0J9/n/2XB18jOHrbZ860LzBkQiavMw9QNfBZ/9ZA - tZM869d11d5DqUCQn77e+oTNlJmbcy89D5uGqtvmWK3UwWrRrM8pJsdVx/aZmqCXF4fUqvynNr6i - a4Qk/dWQEUwfke4oqr9rekgnP2SfhCjgK47sbV+vI6ck4y7UwXpJd9eTkRJCixoS5WvjAPaxNgyR - S1C7D9/YLWrCh8hYxii4rYGsyvLAJ+frCaBpSYK1QyLxP/nTLrFPZHMOjyl3+GDDKxdtb/zkC20w - szGHGc890QxaPrgSuNKcd1Jj5U98dItDAsvPzqfaIUk4eZusBVEsvthhwiPk1VRfYGWbArbU0zkd - 72bkgfAoMmpscy9c0de2R3Peh52jWCG+zq5feBf7J93lw8HhL9HxgGXviOqstiru20Upz3mwt0Fk - cHj+PfRQlfn1l8doBNI7oHl9ybo/v1J+XOuqtHwGyk9P8bneBKSZA8epRd8a++7jDKD7CN6qXT81 - bp7bGOb8nOq3VxsymqkCnODJ/vj31ivEDP3y0B3WWsQiZRPBZbFvqPMBOxRtFRGkpxeZ4vQcaX/G - rzf3QNa8/TpiDGvzD58a8/dsyOTHID18jDOo6pCBfBPgXTUa/uXnQnX1dVTpJKKzHuaMX54bMDsr - wVoSQDqszk2BZryhRvnAjkD5QYDEeu5n/FQdHoydgax+I1LsK6d0dC07+ekJqqJI4UOwkexfPWDt - /K2cb7dQVFl0Nj7d65ulw0m3u8gzf9FZf3X8GroMDau35VH9PiFmGZ0k3dJRnf1DU7HquUjgbhaa - R2Z9OjZHY/Hr/+DjKyHVaGlgwBwlU/u2vFScaisR8jpTCNLoNmTk25TgCd0a//KsSd3lElRkI2Ac - HjbdBOkZYHsvOHXCYM0nJIQRmv0oWffLvJvSzsyl+q4TvBdFOeXYHA35c7z12LgA66YHucRwPocx - /embQT8jAvYz3Hjg8ohPdVtLv34UNU5zX8EM1Tdc8+WV6ld+075YfwpwXa729I+eu+BB+uU1BCLz - +rvewNFZv7zNUmPOiDbTG4gqnb3PuLlqQx6fGHxMPcTXYlt3/MdfBVIjElvMQ8L0vJnwiFZfsk4O - ssMui/Xml/8Scc4/xya9GxB8jT0pQyVw+Dlza8R9qcfedhdoE7t0HtBE2FBtM2Th9BzlYGv5aond - pis5myIpk1ak1mnq6Fk6rt1nD/eyr+msFzoWLk0Boifb0zsTcTj2+8Ufv+8J+auopmqV2dCk+z3+ - 1aOwHx8LtDr2FxpuhiwlZ+R/5Un1EVn4oHarg3L2IG2Ump4wVOFgBaoHDWk/hMkkTYegT3Oodu/G - m/OrkF9DnaGnkzv46DPQxruZuQhEP6Wz/0r7/qW28o2ylB7l4J2+ukHVwYheBnW+mhmuxmwrgf08 - bbDaHMWqnfNykDWbEb6GvcY2YqQj/owqbGrHdzcZ1S6HBi048dWNqa3zL+7Rg5Ye3h+XoUMHb9Bh - eQ/e+Ihu1/Tnd+SV8QkIM9NEy6Xr0vjpB29VrIVqelxv8Y/vvA0QrRtKvSWw8R7On3pldJcr0q/f - M/d/K0KeSf7rXxLpGW27Yf7/6DMFAjVeQxSK99L8ol8+Yc79xdaaRAMG8tCplz7sin8OG3/VV4n4 - 40/Unz/S5tf/wFZiDdqoRXoA50d5wK7jl4iIW8FH7VpTqSkSEbEm1yWY1qaK/etiE/bqWf8CHoyC - DHc3dNg93b1BXKYV/uXx07W2CQB1LrNeqUL+08PZxnDpr//D4pzP+ZPrY80KLcQoxwLat/ELh5nT - hXT23/KvPp1q5XY8WI6uLGDj5f3xT0syxXIdrJbeuIcLYpc08tbmce0RwVY7/v71wy1fKanbdCoS - Zr2LtpeUUntqGm3U2beEl5eE1LLecTjNfAq/PM/U2WaO7PUcNim/ks1xP/IxzjQf/OtpRxpUi904 - nMGELJmUme9stP75gbBQG+y6PEJTlj8ZdD7vqbJxmqr5TJ0C23Ghe4Lk3bTpmbAAljeqe5DdR43N - eSia82VqGmXTtdLUSejv36mA//zHX3/9n98Jg/f3nr/mgwFDPg7//K+jAv9M7sk/BUH8JxX/nEQg - fVLkf//r34cQ/m6677sZ/u/wrfNP//e//pL+nDb4e/gOyeu/3f7H/K7//Mf/AwAA//8DAHICMqHh - IAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775f94ffb71c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:07 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '1774' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 4ac521cbb276715dfb45149c61d7c049 - status: - code: 200 - message: OK -- request: - body: '{"input": "Lorem ipsum dolor sit amet", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '103' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R62w6yyrbm/XqKmXlLr4gI1GDecRIRsEoFUTudDigqIHKsAmpnv3tH/53d3Tcm - HBJM1RjfadR//Ouvv/6u0yK7DX//89ff77wf/v4f33v3ZEj+/uev//mvv/7666//+P3+f29mVZrd - 7/nn+Xv99zD/3LPp73/+Ev/7zv996Z+//g5y+cgcmx58Tm2zRnLe2sw+0xlNJT3qGoZYZ5vNXKF+ - OtFKzZVkz3ylDUMJurOntu9MoHKsL3n1wqsZdXo3U0YHN5Rob8ygLJWBWOs4SefGeplqH26OhITb - azEl0j5Q6XHUmCvWaUp7k3koHkqLndP7qattM6NQm2GAxVWz6+aYaRQq3fGYp44bfz7dcwle6faE - pfM+8mflMblQr8SW4Ta+W/yTGHs43yEg/nthd6JBxkyLDvqZBfan9efv/4XPU7qxwI31cHQ6JYJO - b2a8Gt9FN6vh9QjP02dF5cHCfMpqKQM6bRjZSMTmIypHD57srNKpM7f+uOwgQ9dqisi61J4+RXYs - gJ+qFvNv2tWf1qjs0XMb3/CzPy3CqdwFEmq6eGJb987RiDPd1ZYrTyDBZ3z78/QyM4WN1wPu26Dy - 2/TZAVRW4LJTaB07dt4IJVTkkRNrpRl8mjHU4HQvjTgrnyK+K1sHvFYJiYUMuRjv+2UL7uH+Js7w - GrpJ3RURtNuuoPN8962VLSAXwaZmLDlmejouzvEFhPCzZEYRzmhouqennadbRLbTfgwbJbEwADmn - ZOcpz7CdgpOrvpvMJrr89kOay8dEk3LhSlcHLoY8UgQbwqfxwWlxVTgr3nqlAfIkzM4tCweWby+w - 668rypzDmU9Q+zU6HuKe4ffu0E3mOxNR95EzErhCbM1+gUsonP0RIyt7+NQDHEPKTwaxl+UFjWja - 65pyrtC3vlBaq41Xouxwzojbfnac133kQW6JM9GzaOKzrewCZd+cBzrcHmrIczSoYLWtTtawSBBD - Wg/qnTxL5g3yOuVwTCJwtf2CBMfZsJbRKLYwXW8SVast8/vjO+xBrdQ7cXN51dHVWNw0CfobuayL - TzGPF02XO7gHzPd3y3TwDT3WbgXziC2D5a+KnLrwbm42u33GtSX5hVOqD89UiXmXuD+J6COBNe0d - dntFZTiejg5APTwWxKofp45vqC6CKUhvPAKs0kHmJsCgn+5sl4frsJ35PYKzjbdYDCZIp7bkx4Wo - mRMzXYcVI8rvPWI3tCXuPo6K2arUGM5c68haLa68Hwzkot96SUF4L7g5qj26V27Ltvz0tgZ9txcg - W94C3NzTFW8ARkHziW6Q6FlFfL5Ftg0wrwo8h8t18dtPdDk/Zoy+9UGRnQnI0g8x87/X4zi5Mwxt - vyGeFrj+2LlPHSWJapIksQI+me9YQp27WBN/vz6HE4nQCHU4AF6J3ujzYqozFMaHgmw+w6vr2S3N - 0G23sYm+PHu8+dXXtz/oceq6grp0pyIzjTNCysOmGJ0mk1G7bQqyPUl+yBf1EyNzt1pi7ZpaxbLR - kAl3OTCI84aXP4vMU3/rjZns6H63TcAB58BVqpbSlY+HXq/AENcz8fzzg3eRIjhQXaUdRkYhWl3i - KyXkIkZ08FjczeWndlB9MwjmdBuj6bYfSzCl4siCMrfRAGr2hNwvMgxH3ejEzf7sATmCQ/TmUBej - KY21Zr+sGqt5ckHzan2RQKYoo0my7ENuaEkF+dbckN19ZsUsWvLxh2+4urmSNbZ6UoHYlQbR1Va3 - JHhde9Uu5x2V1iso5uC6dX94RNE4H7o2ni8eWKdbR9EX/4b1TQGIVtaS+YT6/ryMfQ+V6HPERcwm - xN9Z2kMHj4ACOx0KfvauOjryxKJIfn04iz4dVlXrEjP8lN7djD/b6s96IsF4hOz4GgNNUqqMbTeR - a7F3y0sggqeQrWzdU1o9UQBzPV+wqgW1PyrR/agWkiHiJZzf1mjbiosOGfLZFy+7SRfiCm2HzsX0 - c3RCvnUbDFMku8x6uk03ld2iBMOVBerX6bsYrqbsoeVW5cw/eoHPUZfYakpEhd5IqReDzc9HdNYf - JV6EoRVOLN8m6JBEd4LToLQqRShUdTV1EXNpbPuzvi9vQHq6xXB9U6vCH6OCkg57EsTnoZuNi6LC - wFcllX715oETweNy7vE4b9t0CMTnRYtnbya6vTPT0r2UpUr7QifO6dT4YxSEAhTO8UiM827f8RPu - MlDOJSL+7VSE80ZzMWLecmbWIqchD0+XCLaXOyf6Rwit4XQWZfRSHUo2z8crZcXbLdH6tjIZ5ljg - 3YmNrXZxLBPP6xYXPZ+bWKlVoaZzJExpv5YPAbq6t5wE6VOx5urJMWxuzwEvX+8TmpqHu4dq1lqy - XfWT31xfrfrrT4aTxP7Dz2q/wvoP7zm1k+SmaFmrMXN3tdHcpVSGsJgD2l7UV8hfZ9dFxZmZFMpL - ak0/fKqjqCDp+W6EDQrjCHi4CMjOY3Ex9srQgr+/zXgsPhtrtNL4BuYFP4kVs4lTcb93oWjmKwva - wLFml+5k1BT1mv3+D8+951H7rY8Zdoj306kqQXv2J0KYFHK+VDsJ+Cy/8VwbbciW17iGOmRAf/3J - rbMqgLCJExZkspXO8rmjcMeKRh/OYcX764bUyiXFZ/yt/3R49VOG2mE+MP2ISTcdlxsHvfvKZDqZ - cbey+3oPn7Vl4PHhHNKm1HsBoQAhZkImd8wzxBg+Z+dCeSRWvBOMpw5nvuiwMu336SygWf+j59Y7 - 9WPx01OIUXpQD1Q0R8znwhsi0JYH66vPPv54zhtJpbvPh5BgZRa8CaMEXFHrma2FzBpiYWlD6Oku - sTcHu6hXqemp5Cg4DF83JOxx5nrqU6FvqvXREQ2ONQfakV8stgs/l7RF6iHTTkbyZL6g1QXLvXqv - /b5nbIMiHAlZi2h7tRPiKtuD3018f9SEg5OxzckQEZPv1xacWCN0NK9nfwrCMIDkWDIsLi4WF6/b - 1oFAyc/EsuzC6oPdcEROV2i0Zq7VTWq+r9Enm2w83v0qHPTe72GPrjYznRu1uKXorvZ57pbEVlf0 - x9ei6l/mNb10oxL29uFgwnLlCsy/b0zOElhhmFa8xp8i6Dh9pzoG0q9zsrs9knBMz22OJCYmdPG4 - vouZux6F95I9mKm/CmtmTusi+qIxM5/HyJoyrZgRv3ovutyN93S2qjkCdD5WdNytimLQ9cmGu3ci - bNe2Uzq3K8OGIvQitivWNppfxeCgy0SkL5+vfWlaaPi3nlg7ZgFafdcbJkJnXHfjNZ2GzctG2i7Y - EVsLiT9et7mDxldifPn/jKabve+RAekaSyd/kdKvH4Duo2a0zvcvxDcBb5FwmTxil6fO+vJbBVp8 - aplno4U1Xd5aBIN+vtP8+vhYnK1aCoPtmBR98bedgrsLr1K5sp2n6CndpEhH9qNakR3aPLqpctUE - ucsyZObZqqx5/4yowprJJ7/r6WAb2aqNdPzVQ7e0qnAdI04ud+bvuO6LwixXqJvqnHivufCHMGtG - 6ERfoW9DLNHXH9yUSb4QduaNanEFPyKUnw45wVK19ceNc6XgNHpFFVU9dONV81xkH6lEFal4F727 - OseQvHKXkYv/Thtnf3QgLMaAOeqVhPNFEzy4WocdM5zRDPllOgSw4S4nTo0vKW/EV4kec3/+6feQ - J20fIftRruhUvXg4ysNJhxZLMsFLcduN7/JagyFuZszfh5PFqqrx1J/etMLXFI4nfnPhGQcZidtw - 5zNLcV346d8N5wXqf/zRDn6Lxb4/+/OCJd7vOdl4+MPnc6wBOk1zQ/Tb1UF8f7jHaHt1Egpu/Ezp - t3/BDVSJ+Q9zh0a2oZ6s7KTVtz4eaSOcDxHUZLujcIfEnzN9EQGqWUxHP827ziwTEX39FSGP67ub - N5oegJdZh//yi+/LMMPXj+J68T7wr79t4ROw4cd/FpW2xR7I8fSgLW1t3swDu6jbjWVRiVV52G+f - swm782pLsL7102EhHHLYCQ/MjFoT0+EedxVM3uvO1n3eF1zSMxUOZ/wgW3nhdMsHESg6f+ieGWvB - RGN2tWzttV0LuPTrsRh++uEV3ho8TcvY5+UqvIGs7LdsfS7ddBwKPdJeRnokPz0xLKc8gbHHHW5e - MBS83r0u6IgcxjZx5Pn0s3zmwDdrD1fv+Zzyn/6pdNujr2Of8Kkt0RF8nCa4xczze1hZulq+VoTO - X7wYfH89wzcPIH62pyFDXqBC116X9OsHui9/ekiYC0xZMU4dbXbVDXL/lTEHX+aQ63Fygf1ViMiW - +2k6y/KoAuk3OR3txYtPX/0Pywt5Y+TvTukkei1WF0F4IMaxV1F9Dy8OQqVXs10fHTmfyruA2o0X - MP+VUc7egSuhXJ4atsVK1M2pL7TovvokzPG9A5/wK62BPmrh2//PlN/1+YiKvRkT19SAs1G7U/TF - S6oEQlMMXuLaEHaZzNbCcfRr9ZZT2JC6I9vHM+hm7x6W8LT9Df3U9o7zx2e+QS4GiNnDok9plts5 - LFPBI3jL+2IQERORvsows7/+hkmmEv32l1LivFAu7veelh1OGbHMY9F9/dYetXt1z7ZPI+9m4WP3 - 6LAsDnjiqof6bXYu4aIUW4axJ3fTXLwAHpdTTwwx1Xm9mfoYCuG8YdiUlmjau6n6yzOILpCgGKdT - VaGvP8fw7saQK6zPkb0rnljr+A3N6bMQACzbYNGylNHgJboDcZr3+KK1FZp0ISthJUkNltz7J52h - e3gAUT5hGc6HbjlErqB+/TRVL67B+ekpRbAT7vjnN7qhf9YiRKv29uuH4qvPMTxBLIipJAb/6n0K - Kd12xP6Yp+Lrx27oi6cMnxTKx9WF9eB2EmG2rCt8Wu7vWBW2y4mOQUlTer+uHKjGW0h8kDnq9eo+ - QrWZJdz0TO2mRLoE8OV7PMSWknJ9uXOREy8IwV1zTGkr0hah5fvCAunopu/JYRj6t9f8wfu+fqsY - NpFosNPrveRTlk0m9P3qRFfpfdlNk/MJYF7vD3TIUepzsb4AGK1wYlupWBdzksgC+vIXVtpQ6aby - pXpw52bP7Py1QIMhHjzwiWnQQ1nVIX8WT1MLd55D5ezVdXzzcJ6QM+NNxcd960uZvopAbuORbYRq - j4aSJjq43a5mWN633Qgry0RhVkrM++rHsbYHHTab04VUqLe7qZZdHe314EDSoiiKwTfcCPJ89MnG - 3XKrdy9lBf5W6rHoPN4+6yNRQC98CJnfHxCnpXOU4XNQrK//V9D47VeILxfK7O2w7iaN+Kpq5dGA - n/ttwrm+XH/9kMzJt7+sITlZpvbuSxPPNW/4uHJuInTs49HJuA8+a9NGhExcvan29bvTOcxvcPWr - JxUWmce57ac26GnL8er5eIXfPCVD2mEEZn3ihndFXnlgnLhOTPt8TekiV4/o/XInsssRsupx0mc4 - mteQuFNZFuNIaQTb1TXAVTo1aK4Wb1DzydYwiAvuzz+/+MDvGo/7r6t7LVUVus680fqp9f+FD7tj - IzJvoGk3bzZrCv673nz50UJTYa8S9HhLJ5xFldJ9ztrkwH1DDuzn90cfJdFPfxHnuKmL+aJJHgAR - TDqyYRv2hnWpQOW+jJf2fo2W6f2SIT4MhD7LcUbMUWsK/FKomC2fy3S8iCIFWa8GZli5wcWlx/Zo - a2Ynqr1fa77MMsWETtwqeLF8nlIu1nvhj5+3RGYUvH2zI9K37xuFgpBw0l7xCN5pEKi8j6NucIzz - DIfnCZhLdjWfzPRwAUEVX2yd6Nt0fFvBDX35ia2TuUY0UYoeLkKfseAVlel8r5VEuTL7w7bJ+WXR - +vacNUlXTEaCteXP6rv30HFT1cz2TmlI7/V0UQfx5n/zTIz6kVaRkpogE5NEhHNuXObVe9c27KvH - LD4GFwcshimWLsW24LdikaFESLbEm8khHXenuQdhOMtUarxXx83109FM6XVkt2//j6+1FKHHzT5Q - aIV1IbHQNOFTv1x2H5w55cX0zOA6vi7EDs8Vmtn7JiNe6QUxdgVL++Z6jKFPkzduD77vK6/noQQU - dwss6padzovnWUJHGgx09nhi8S5gOcqe+xWxxPeZM7vdich8KAFL1usa8XExulDRCyKBb7WIPtur - ANLpMdLxm+fM2vF8gZIfFsT51i8LvO0In6d4Y9tiJRcjP9w89ZunEwv5Zijly5UAHkDLvOX9gEaP - 2zJkXe+SBBK3GKuzMsJURTKxiPdOh69+kUmZSFi8Gm4obepEhmrMQrLFm6U1olL2IDIdAXPF2RU/ - vQvHKjewuA4YH4P8WEFjlJRtQrpIJ80sTZT08Yxh2N/4wM+mrVUVJVTuRiVlWweP6iaSDDzzKu6m - tBljLQpflDi76sj/8JUenp5MV+RnN2Pe3JRdOfhMT9g6nIyPsgdLvNhs8xC6kB5v3hG++ENDU1XC - 4aR4Dgimv8bLyxD5E9MhgGpetMw6acdwdkv3ht7nZMBgfzz/m4+JUCRLnTmCurbmnx/46l2GG/oJ - Z5I0FFT63hLrnguIn72D/tNLZFteaFdzG/aw9i9HYicQhuPbsm+Q+kef0kIFf/w+R5UniyTKu6ag - 6mzrwOdQoOogr8OZPhoZ4dciZiYf9XDc7M8uZJnk/PgWDTdD2KNocXYp3672/qSgywVA1mXaH+tz - KBXCOoHGqChtQye2pg9TS2iWzpKqX38uqreW/uYj+GleV9Y0j4aEhHcTYLW72Wkfo6aE33xmszLK - kHVkK8C98lpmXJup6+/7ZY0sPt2Jt9FDNLSOnoN88lPK5Qj7q8JCFxjAXTE9iw58ZqGnq6hbRcz5 - +olJf3QSusUrl23K06rg19NCh8yANdOHWvzmW5MK7nWW8WtpxUX/m7f8/JW+MHp/VnxfVFW+lckX - /9Hcr41KXfOHS3bG+hQ2xyVxfnjHNnkSpCPz3Aq9H1QnZhRMvPnme5DFOWfbt4ctujdegvbdT0a+ - +Qpf1HWA3ru6+TMfoNfPXoI5Zgad+fhMWZT6MQgpctkf/FSXjyd04vgkuPfctM/U/RGFywC+ehqn - 075pHPjm21/9ZxXv2YxGuLpZzqzUuaNpE+8ccJdVyDxI6mI6rpocycpxy5xs16KZemIFP/3NvYYV - Q6c8S20jxy4GoRFDZrdrEVR/bf7mdbw+hq4IK1dbka+eRvNh6ZlAheqMp69+/JNnfvNsrMULsxu3 - T9UEt6YH5u/Jy5dipvVQkmlF0VUxU9FpYhXYCd9pncvnbtwOVxV5RfDB4zcP/uadDvTS+0oMYWV0 - PLjdWtQpZ8y8ZBmEXCLXAFjV7OhCdp4WvxWrG7pfj/UfvzQ3uyqDhikPLOioReNPz33zkm+/bcJx - XhgBGhRdoS/rcvE7yZxi7W62BZWK59OahhlRJN9vlLmi/u7YdLRsjST1zEzJXBWc7tscvnkcI05q - FDNSrxnkei8ScsC4mPTeoup3/oSn/cT4PJyjDKLIOxHvrVuFVHRqDr963S4nx5oX+Xz8+X/ijVEV - 9nmu2IjJtGTr280LV08893/00QZe4A/94FL1rGz1n97t+Ct696gQThs8OaOZLvErbUF7biiVlk5i - 9b/5VVMHnOAeNnzM2UVA3Wm5ITtp5N+8DiJU7PWYuO/MTBvpkreQmoKMP9/9546M9/C6WOcv36hW - Fx6XKpxE+UNModil43wHU35+OkwXCCSr/7R2q9bDffHNH9bhmLM9wJ68G+K/lyof/P4IkHXrFyNf - vdF7PFAheT1dth43it8nY3sERXpG7GKYE2+wjm9QSG1KvFQ48zFaiPrPH+JpLSr+pOaXGr7zHUJk - R7d4IzYVZHXpkZNcY87Xc7iH3iF7ovenRzqpfWzD/tUYf/qV14aRQ8D8nuD3biqm5vaWVOA3j6Sb - hYiGD5sruLzEOzM2yo7TTF/FcNDEkiRf/ptC7fbUhFVfYHmr8m54+eUemW8np3Iurwp6efgXNHdy - zDxu7PmgEUuFp9K/sfqITWsuj/MI37yRSrNZpJPv72Z4zJsRZz+9epkOGL2PuwsVfLoqpu6SJnDV - fYLhxmkxufVDQMm6H5h+951w+VrYMbrV6oM5jWd0S+Mz7eE+LGMSCI2YzlfHakHcPlviI1ZbUwXJ - TfVmV2dJKpxRLz+XHlL6bcNc9VaFPBOTGBgvCHML85Xel1N7QcLiSphFtxIfoLZa+Pt3KuA///XX - X//rd8Kgqu/Z+3swYMim4d//fVTg38k9+bcoSv9m0p+TCLRPntnf//zXIYS/m66umuF/D3WZffq/ - //lL+XPa4O+hHpL3/3P7X99v/ee//g8AAAD//wMAcglDZeEgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c775fa10f931c83-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 15 May 2023 00:48:08 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '801' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - eab878e76dacaeb2e6d7195181954cf5 - status: - code: 200 - message: OK -version: 1 diff --git a/tests/integration/cassettes/test_local_cache/test_get_relevant.yaml b/tests/integration/cassettes/test_local_cache/test_get_relevant.yaml deleted file mode 100644 index 8a11796b41d..00000000000 --- a/tests/integration/cassettes/test_local_cache/test_get_relevant.yaml +++ /dev/null @@ -1,997 +0,0 @@ -interactions: -- request: - body: '{"input": ["Sample text 1"], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '92' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6SxOyOrfm/PsVu/aU/kpFJIs9AwG5miB4o6urSwQREJFLAuTU+e9d+p463T1x - ALGiycpzW/mPf/31199NUmb34e9//vr7VfTD3//j+yy9Dbe///nrf/7rr7/++us/fp//38isTrI0 - Ld75b/jvZfFOs+nvf/5a/veT/zvon7/+NuPiQ5nS1Anz5acM4uJ1ZNpa6bouyZMjLJdQMZs0H071 - gcrA3keVHUtt4GxxmpbKpd8Q5urcTppOaEXZRcct8U/hJ+LRfchQhzZv4iqmnoz4sN3CaV17ePPq - P15npqcc9Pf9yLCTWmi8r4mBLoLgMxWNqKR6tKTwcM83rLRb8OZ4jLcgX4URN/ux8KgSvxtUsFJl - ji1XiBfJs1dO/JwwcyO5+oS8tQGQGluyS6ibDOB1N3AIDfAQNarXy5f4iE5iTpgpd5bOk8GtoPH0 - HsOptJOxux9cqNitYI6nd2WR7zcusGJ7JGpq5px/KtyjfIMRUzeG7bHJkVto/O1AVxpqk1m0BRFN - SbH/vdeHi6MBXGZXI/jlC5wv2PWIOOlvTDvOQTJpbiSjOiUWBn67JNy/Xn3wyyUi2HaSjkVXVwX5 - yBFTYytLhsxY9LBYXp/EROPEh9rYuqjFqkWiNiiSWeR2C/JN7Yl/Pr8iflyNAbCk7Yg1r4/JpO0M - G8xTsGGOfa35tHx1Mypq4cX2/uB59LA73SC1IoMR65B3w1IPd0qRVwqx/fuKT055zWVf2nV487pf - +fRQ7Roqeq6JqepFN54Wnx088MckesuJ3t+PqyvE75tLZ3o8JPMhMlr4iF2GZWU36/w45bmSc/HI - dLy0+GQ3VoMEB9XM552YTNkhCiFU45KiTaXpq9qOJbg894jo7eGgz6zoCpgyqhHttEbelK2XPRQv - pWLO+/XoRr69jhBErUy2w1R11K1iEbQNbYlNLi3nPpF6KNr9kaloj/mYvhoK8Ts1iZvG124+NMxA - S6FGeNwYjc6mdyOB3jIdo4Sq5ci3wQzWLgqZKgPhc56QEbFzLBNVjktv1q39HQQtCEhc58vvfCOF - o9V/8GrLRG/EdZWBtspkorfhAk3Ds/VBavSQOc6ClJOmNT3o7+xIdPKu0LiT9mcYqLRlD+uglnxx - WI0gLsUdMbfUSqbMWFMQUfDBrWaXXcv2xxEuihQwa65PUecf7zbo/RIRuz28k2lJ9XAhn0WJqcl0 - jJpTezuDoF08st9Pli6K2b4CRweN2K3aJDRcbRuI5lRiu+tcd62elwKasl5j3/pG7RvWNdSZb7Mt - fY1Rfw9e7YabqoXFSyZ7rHhMdzADATOrZ/eo74bABr2bF7jE4Qf1lXWtwdkqKv2eRj7nPZ5huoQp - 3by8mI+ysLuDYFaIHA2ZdsxE3oyGz+fAtFVYc25eZwOma3JkhlUZ3YgRwihXypoZxUg5m86rCriG - MDG37Oy1b+loo/ipFsQx4lXZiuvgKhedfyJeLIlRf0rFUZaKpiPGM4m42BQTVRabycYoyYJo5NOB - /v4PcR8z6bgvhi749InpSp/LaKoX8xHBZT4Tc/Pu9LES4wJC9dwQuzvPel9ZCwEtlrcn80f/xbn0 - DnuwrBMmuNq9kikw1ZtS9ZgSo3rb+ojjZwHdOtdYGNmWN873cwPB4aUwL/G3nZhnkg2N2ZlULoYK - fUBUJZCjzsALYSGgQWu2LgzDAqhQzxKnsRbsAMKsJbozyeWc7ycXILUV4i7GRufF9ixDcmcYr4Ps - HU1ZPM8/fGV7Zn6i+Q2LCqzj7sFIwaSOfZS4gGY3AXMVKU9md3J24EK5ZNvDAXs0h3knT+mg4sXz - mnv9/Vk1Pzwi1iy+SiqkwRZEFH6IK9wT1M+fvQyOc26Yux2R1/zqoz6PFcPv6ovfnlEp/ttsmRXd - PL3vXv4ZhdbKomsehwmT4HMHTRFuzDEQ72YRoSUSsHOmrMjijn+UAW+++8H2YWR6IjvlNTQ7puFl - zVSPhviDoajhxbCzeKFRXtUAoowHLO1x5VF309TQaOcb28X6q+PJZ1dAEloiXqFHyHlSdTtUPJsN - nkRJRZ+l9RTBneaantTjs5ycMijAIujD9M+iTJh0kEK4CODjObotEY2VRJCDu3tjhhWZnRhebCo7 - 6rzHyzL0EV+wdY9++OBPgcbnHPtLcDe+S2JPtEs+mmK1CaP8Tqx+LyQ0dz5XFHf9iuz7riypgoYW - tNHBxLs5p6TvPmxEl0+bM3OzufJZSbsePbaSSHR3JZaTrYU5DP3KJMbr9vL4wjmHSBNzkcXVxtep - aIsimPfpitf0dI64eSyO8JkuM3OzRdjNwlHK5STOHsRVmlGflVrH8P0+Mcpli9o8vNfyZ/Uu6Glj - 7vUex88c9I4azL8kozeHF7VHx70VEPyObH391SOQC++CrjYXmXfSPi9Q8hAt4s9rt6wF2wkgCWBB - jAKPnPvHowvxKwjJtbHVkhejlAHs9xIhz2uuz65wodDo95Bg761EQ/2UrsCSpvutVzc4t0kF8+hu - KRLte0lF1Li/98xUX3k5yo9RBH+tMlz0fhxN2UnsYbrdDySklfadb8zgNOHyWz+G/hnmjw9SZ3vM - /uy9iPu6k/3wll0/+y5hIz7vIK4OB7oOG+AzO1sCTJHVEFzPV9RF4qWBKr8/sBifomjOHcVA2ux7 - zLxXbzSzQ5WDX6xlvDAdu0uHNMxA3NgTO4ufUzmzMwGkNy+PuYqc8p7vmkJ2hWpippycEfc/rQSO - fXl/+dLlfKEKM2LpOqPyFqceP8qqCrgPJOKPiwKNcpSGsHKDgKS+N3j88yhDkLPgTgda3fQ5ViIB - vvqRuIVX82bHXiKS6FXGY2xl0TQcZUCwJxJVosvTew16Hij44y2wEm5rfVhelwVoCtyY8+odfT7k - VqX85ntYIYt6y5Yo4qaj0GpHnG64dEmLHt7jwH71Ml26qIVsvX8y7Xsee2s9NXApA4lop1OqcylD - GIYqaJlh6auE6hdpRkt46My7lkn0Pd85uOtdSHaryuXf+rlDa2Qdc9y573pLrSSAm+BSCWuat/6U - fAuhvdHxeNcq3ortx4bUfXLm3WCORouFLqTODegkmjqfbHzK4LHPMUZXLY34cbiOkDyWFvEvt2fU - p8dnj4qWHOnzIhgRT+5e/dOfzBNbuexlPC3Rg7S7P/px/vIVGtomJLYvRGh2XX6EBVogpjdtk/Ai - cjGqgvLG7G6ToSlQxxbqu+cxvbHdZLIVl8KXf+hnV9yT8b6oa3C0jUGMZx+iL56KKCRhR6xg30R8 - Go8GxHXsMFdXu4QVl1gAwZ4ZXj77GbWh0rpwNKuJbJmdelOw5zUAOY3Ev7gHfdaHCIOZtE/K2zmP - ZjHdSCh+XfZUXjw+Ho21coYpkFdU1lqtY8U2k+WhOr2Y4wg5n4Y4u8n652Ox3fmWebzFQQWPrSxi - MTaW0TTQl/tbH5qjMSmnpR4aKN/4CE9rF5fjPRgaOUkpwYuyWHX9V8+idN/0xLDEORq0amfAdPaf - uIvX725ava4GXMpQYubm7ekzy9gd4vqI2fc8cB4NfQb6p/bp0vSGkiqL1Q0sO3EpHKebzhedXYPg - CSXTRrLpxmpOM5SNqw2d2XUfTTVqayQf7gfmCkrnzfn52sIHKS5RkZ973/WRwXqIlHm32zGZw1AC - tMK5yqzzKY/4Fw9BTrwSr0efdLxorrAR5x4T936CbsS24KPlYpiJTTYNnxkvCtTsjQ9JVscAfSCX - baS3rU1s0jh8GFqnRzGVPsyTJsNbT4p+Br6VCEZJ+uxoeLH7P/rKseprMv3wrd3VJd7U2NLHzrvZ - qGAv9PVbTVL9+Lwxcky0dbLv5t/5CPcuZ+5itD2qy5kN3So1CBGE0euKle0jTR5rYoVm4M1CrAZQ - ZxeBCk76RqMFzg2ksn8zxzJuyTQsrnfw11tGrOnZltyY1wDhdWkz/3LTIl5MlyX68gtumhuN6rzf - zUhvioC+pNUdfWBY7aAo5wlPK81Cs6h6LdTH4Y37+Yyi/ucXpvh2wtxWKPrjh8w7v9I5SLcJX3Rq - pfz8sB95C8SK3LTBfzKdblmLvO6zM0awrmfCrKhrvTnWAkMxb9WLOK9hjYbM5uMPr4n79UujZY89 - nKYoY9/zo3dmqi3htHyEXz6Cbqqf0g26Tb9kN2UX6lPNPQNJHzViu1tMkqkufEOuj23P9HaZ8unB - 4xDkxCm//m1bjph5gLhznIntK6beV9cyRNVV27D9F48nW9n2imWSMxWTtIumi2nK6Ov3qKwhtRsr - Lz9Dks0eRdeiL/lU9iIMdZoyN0ViR396MTV3B/xcJ/uS366kQLg1TKZx4ZbMYvt0Qb7bFdnj18w/ - l+VuifTX8Y7X3DK6b/3RP/ip3pdPNNS16oIZEWCm1t08LpmOij6Kvvvhi859/WTDgsc5IxB10aRt - NFvh6jpkHhrenEvn9xXgivZYweIBzYecVJBLhsFUGT31mdUoAItsPsw/Ld/JzBjN5K9/pfzDuN7f - bWwjcVHEVIzrORpq/9lA8WRLvFhMe33EgGXQm7f31VerpNV3mxmmSB2Iq7y1RHybDxfVp76hMJ/8 - jhfbTNqw0ghYXI8vb7qcNhiEvfogptbJ+lCncNw0ZuV++StH7Q9PvviDV9u9pLPPUt6Cu/b2+LWl - 74j+6hUX7E5X8s3Wx1k2JJQkXciscCdwKp5uN8iVZ822Ufvy5jgU7jA8DZGosl15Q5ZlGPT6dqUK - 1fbJKts/MEot32HYMxdRYxWtBJemrohhXJ6o5/mth6PFK6p88kyfLmqbweUzJGy3vofdeF9bOyQY - mYFlRVZ4g+NPAUNurhiuA5lPMG1scMjkUSYoWiTqVbNF4vg5sH1YfX9P3apScFOLn5/Ue9ktDBjy - rUynMZc6vnDcClhoERxszic0DcdZAMHsRIwkUutD0D2XcHkXDdutIo83cp/vkHlJe6YTs+bcX5hn - eSG1B+aJ1sC56We5nM+rCEs4zL3RAu0KwX1/+sNvLTtbAHVYLJmaXnA3u82zBr3EFV3W2dObanVn - IMfCI7M/49Wb2QlCJD0rRrYDqcvZXV1FENfbDSOCEHh8VC4qsDo0CDG7uuMmtZeoTl2fOdWO6WPq - uz7EpXv74mPjzQzSHvyXwIlRPAjinz7MlWFQgDQf5iTc/GwM9OUbslu94nJaXvMlXMoLx3BRsE71 - j35HjRafiJpeaMeKywGAb2VCBe+Yo/qw3TfQLRObDl89N7vKeFa6zcSYtipNtMQGvcvizB3K1Mst - 6Xe3yw6q++FDVNmZOTNF2P74A8fe61NOy7tU/fI45hbeDo3dVbv+yau0i2AkortbBOsvfuKFIX3K - H38r4lidibo5WfqErvUZjo74pCv0mBErdqEAHSjlHz081CrewXLBZppGu8LrO+/mAt/ZAtE/fh19 - /awE7fbMCbFKnFB9NfdKMZz3+Hnxz96k7S5LOI32m2lHvtAnyGcX8rUjkN95o2ES3OHhBBlLadkl - s1hoLcix1jFTPxy9wTl/QlnqLwpd05MY9fj0yoBVrs+sAK91JmFLQl8/h8XlNPAJdE+GKoufRG+f - WjIEN6GAfCX4THcIdHxUHqqsTTbB0rd+ukU9ir88gQqO3yDu66krL3iS0wAxn8/NW8sgicsbvkTK - mvP2PBqyHFxPX30Rd3zC26uymPyBmAhHnEvqJkSP/duh4s3Syok46xyS2+v81Sv7jpuv1Rb0blzQ - 7nZbRuyjKVuEh5gx/BqwPtWUnwF/LIP5p+qiDwM93JHU7XdY8IygG090NUMSSAaxmyT1xnTuvvnk - tmc7cWcj/vMvjEkJOyzHhlMlWN7l1szfxPb7nT7+8peYwYuYGU0jtuCNIbc2TfDGfQ5lvzusK0ju - TcT8izvp7CjbW/TNa+gru7NuGixJRa0veMyKHN+bLoaMQc7CO9vFYlEO2anbgrMj7JsvbX75ZgGO - urb/jBf1ive//ITOdJV3PLmgJZKeNSPGNx/48cWmqihh/sRxt4F7e0PDsNHwdNrmHdXzEqDOsM3M - dPfi07CoXCQY+YJsWZvocy61ZyRsE4uZmbDvZn0qBDiBMNPkehjKnguqoCzE1xHTmvQ6Ty6NDR1C - b2Ju0yaZwya5gv7c9RR996e39ncXnTazgKXufdDFePOQZZGPLtstn0rHzIAGv/XBEj4q5Wug8R2G - 5nWiDCo34v6RiWgKpBXTjqT85gdCBc6+upLIdg98VuJIAKnRQrbvHbOctJBfUdG6MXO+53tMXzmF - bvVcEH9aKsmIMwOgqtGWKrTsojHVix5S5wq4XeRrNNTrcInYrWZEO72GhE0SqiHIgpAY+U7iQx1f - ZXD8/M5cPYy98bffjmGumTatonL+5rmoPrI32++DNR9q/9Oi4LQaMJy2sTcNiyBTjsZr/OVv3rCc - 614W1ANhxlOZ+DRYowoPy62/+PLWabzxfWD3qaCyZusd+1S7HjV7p6J5esGlqK9kCvl6azOiXM/e - mCLPRt/1JbrXRH/8FwSnecbfPAK9Lk7aoHZXlWy30pNuWraWjz4LVyDemooljc9y/sMH+pKijM86 - iUP0WZANwy8v8L79hCXIZe3gEbGeM+mBpT9+qoWt+NW/doDM+FXhMW325RK34Etc22B6NNMkGqtZ - G8FKcp1Zh6JMVjUqakjVzZ14sbmJRvlyOKJU14/E9oclGl5ICKDRkhMum26tD/YZBFS9QWD2fhrR - aDn+7ZcvEuwZY0e/+TZydEFjpj7rSf37P/izdZh1KEN9WOrDiHA1xkxvkJWMeN3doXjJH+bPxlBO - mtJXKE5RQyd+h4jqpBdkM10fib1/6N6PL5D8OF8xzMa+W5tUFSG4SC3NbJA6tnC29Z985scPc+xm - AnzzXCwvcOuNaRCDbEbGjtyE3vcmzU1kYHHB2TZ4LPjnh1/C3rzRBWz9aKyCxx1+ea13PezLOW5M - H5IH2jIi3GdvGmydwkli2z/1w4tKw8CYnBAC2z6Z6rar5aHEFIvrvuBULLQGzPN5Rb55hcd/+/fr - T7h3HSMq6FOh1OGLMVc9r6I+FfkVllxqWOath26Ol5ABy4UrM+9bB/W4IxLgonli3oYPzvwjWyLz - iJWff+d9mmq+chr3BV5889hpeYUCkmy1I/Zn30UDyNVRyvmGEFXiH692ib5TOOEn5t3iVyfqpAf4 - 5d3qvSzQF5+O6Mv3xJS0yXtdiqUL4WX2f3lqOSyvjYi++gA3jYK8lqmxiE5SazHtOD3LIXi/RoBj - l/7R780JvVTQ6zQiqhRuEHUV6Qj5xlXpOjwzj+qkAri83yXTRLPkc6M2qtytuzUVvnzDpTO7gT81 - NsPuXHDmz+cd+GPlU+rpT8QWEAVKt7o5dJQKV+dRrmD07Rcx4wW6zj8l2qJsc4kpXIaUT867Cf/k - Yf7Xz021/2lkRx333/oOuvaX/6ZbiNnRQGnSjTjbQeOrA62+/DjreRDAdDQ+jCywGolhpbcQXkYf - D8Ne69hxNYagjbsIr9Jr1PHjSgoguNs3jMRW7vj0cG4/vfjD53IY7McV4ue2IPs9cTzacKlHSaii - 7/55SS/vbkeIO7oiKsJpyRdvo4DHzmiJxdEYcfOlqBBcFi/m1GTFe5mYBRQdPpFfPv315xRVzzwh - JF+PnBWXVwOCI3aUN6399cvB/ecfifnNU2elpc2PH/H0zccG+BxakLPThRGl2SWzfhlnpXGkFUv3 - 01sfZ+/RIDlIAyp/83++cLIAQt+byZ5d1t4vfwdrP03MMHZbPmTFIADfLlyyjZwVGpaWUmxaHzxy - 4ShIeOL51fq0KjFthXvCp0tpiZBi+u2fnMqIRVsewLcfTB+WNib9LPsydKN3xcu8OaM5D+8Vqh/H - BTl885XhmwcoR3udY3m7p8msxKxFzd6rqODyqZxscwXQLbY5Xk/zp5sCpxTh+/6Pv2kq+Rmib/+T - bXt/k8xMMoVfv5D96bf+8tpv/kqMcnsv52+/GnD+qsg26jgfU6S7v7wQr7n8LLnvNQJ895fOga8n - 4q+efDgmTP/4u2QthZ4AD02U8Rw8HnwIVKkF6yC8mauedt3MHHOLqt6n/6Vflq2FIYi1J9O//WD+ - 6WuMgsTI2DagWjJibm/h79+tgP/8119//a/fDYO6SbPX92LAkE3Dv//7qsC/b+nt38ul+G8m/rmJ - QPtbnv39z39dQvj70zX1Z/jfQ1Nl7/7vf/6S/tw2+Htohtvr/3n8r+9c//mv/wMAAP//AwCkxTP2 - 4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7be211a83807169e-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 26 Apr 2023 21:55:16 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '311' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 665023d2f6ce38148bbb6db93c66bb82 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Sample text 2"], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '92' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6W9O6vJbn/f4Ub723zi4BkYR9x0nOJCiKOjU1BYgICMghAdLV331K/7t6um+e - Cx6EWmHld1r5j3/89dffXVrl2fT3v/76+12O09//63vtkUzJ3//663//46+//vrrP35//8edeZPm - j0fZFr/bf/8s20e+/P2vv7j/uvL/b/rXX3+PA19Q5yVYKZuW7ix1zX5Dre0xABNeX2e5CviZms81 - 0sd7il0Y1XxL8bzt9YkEuIBShzOyRHOYzvviHcJ7sOcQ3y4LY7wDOJB7rY9VVxe80ffjEppne8WO - dMf6qAmbEKjHViZygrSUlXZ5hkrRC1Q1PAKIs0ENOOJnhbbCbklZthVjyDYSILtj1nsLFTY3sL0J - B4qj+w5Mwno0ZPNq6jRQYBPR7XlW5Jfmd9jdEDNdYL3fwPQcytRA5MCWtxfYQDIuBtWG5KbPqXAZ - oXZmL1S/RSdlt4tygm53wNSQhjKaHq3fQLFe3vhg3a/6sr5LDv7eb0GlTKduVVYJ3bwzql1cgrVQ - +wSeQs2mRhJZw+dsKTc44scbq3tzieZtznzoDlpBHUfGw8yu7Ax68/lAgiK+PCadphkYu7JGrNF4 - j5TMVaD9sCV6YXFUdYEQ3KA2Nhh774dXkSZWbzB6XB3sBTUDK6lEAX4cN8XeoxMrdpy8G0hl2mAD - 33iwuscxgzgSUsLhG8+WxAhCCdHPQg2nQMPaPlYXdst1okqf0GEq2SrI19exxepbGyuWCkIJHHQ7 - YV/lzYhNSxHDodEgPtz8MBpVSWqgfEkQqQ7eNVpfwzGE8SoX1DRVzhsDVSqlOn3qRAyrXp97pPhy - kSU6NQYVRuQ1HE+gUDcX6itXGbBHFyMoZ+KAxGyn6Fx492eYXbMXtt7bI1vTSY/h3EUFPvgtGdYy - pSI4xNUTFQJ5D+vrWfvw4oEKuw7ZDlTcXV3I53mCA/RRKq4vzhDeNuKeBs/rJVpdEMXQ/CgYu6dT - AxYZdSLEzm2kVvyWdeJadgbFpLewtjmI1SRA3oSH7jlQ97HrqklY7wYIlFuNbfaA3vjxtzZEFGo4 - /X6PhdSfXuJ2/UKWJp3B8pT6BAofN8NurPHDLKJbAXfzPqAu6V/VXMHsBu+FfcLGtz9X93Es5f33 - kfFD8hgJ4g+EbuzoWLG5x8DOSbPC6LRP0ZzzExg5nrehv8mvBJrnTzTVenaDXsEfsGXcn2Cmk462 - 2+3lQR1e8nVKr8kG9jO6YTUzzIpHvVhDfeRK7HAvC8zZ+VrD8pL41M52irfwn+cJMCoqBHwgqvpY - S0/wvVYKWd6aX7F8CRVY12BCIjk73rfeG4wO3EidZitFJG+iGbw01KFV2N7BuufPBO5R8SRiK0rR - HO9DQcYhcEnz8K7VwqaohhoNML7f2EMnRFIlKeFPGkU78xUx5TiW+0UxMXWybvYovZ4ghCfUU1z4 - R31h+L5Kd2VnYmMwi2rdvRkC2/VEEUBR53VVo8fg9mwnxBM7S+mNaQbQzssLBzfTYXxlhURmpmMi - iTl1Nas0KPYwXgTs99kJrEPfJbB1o5nsvZgxqjyODRwz4Y1xuCsqZu0/MdSXlOJDXTTReNQYgc0G - mVRxT43ODvBcQysTW+wIHyXlvTcw4X3CCsbH4zNtrRIjEGeZRfNSvkVD/u4h0D7dhv6+z64yiALG - g7ojaapC9u13+0995dNr0lm8cSX81oOazvxEbM3CHFqHwx4f9I8d8Xn6LAH/hiJGFOTRrKEwh6+5 - pGjPvVq2dAnpgJCPE8WdWuvr8TrYcG1djxq1Uno0xE4DuSnQqHK+P9OZdyINXiTcU1WTr188NRpA - SvQhUbM46dxEzQjFEN2xtb+bwzIddQFeayT+9mtFL8aFwI3CDHqQy6PH1PvjBA/x60nt4DFE6/JQ - QzkWXws12FuvFlFyBHi75CG2LVMBs1h/aniiukaD81EAq35NOGgL7xqRYC6GZbjYNvykZksPaal4 - fF91OfhQaGANL8dhed7GE7RmppC1nztvWcwrBPvd6YJmL917ZOuAGYAV5EQ2D/u0171pheGcf9CK - blM0tfZRgm3SqOR9NI8DcVjfAJyfHKqnflvN7hpCGPI6Tw+t9QIr4oYVTkJVIjZslYEFxcMGJEkl - InbZ6w8egq357tD0wBBMPz6S1NHA0eVcRGuViRC6EV5x8Ga113nGNIMzlDqyGgPzvv13BrHV9Oij - bD8V2Qx7CY7sssHGMIcDEx73HsRfoBI2i1Ot56zrYGhSgrjdZY2YHvcKnELFxd/1HpYWjivw4ntM - M3OzTynadhpsCt7CyPHv0ZzUNgTHj5/TpEbMmz9SH++cej9gm09aNitHjwAx9O9oSd962sWvzSiV - BwsgTksoG5eTzIGLFV+pfXUPA5O4QQIhr/LY9wfGVisQFWBQypO5fGfVFI/rBjrTPcBO5DVs1OpP - AUcyL0iGKIqYVYWh9MVXfGLY06f3K0f7qxIX2HatNJrbdWng0G0CbD5XpncX/IEw0NUaccH2ODD7 - mUIQeTcZ7fg6qqaMHyXohPHzD5/OhxkRsJXmI1ZXZa0o9d4i/NaPT83xoK/XUXMhmrSFbMOdMsw/ - fG6v3Uy1scMVpZWiyU+0ztSQl5dHw/eph4tYMcL5Vh+t2jRIYHHxiI1oJ4JOYI7462eqZOiUdtXc - nkF9E3Sqq9IwsCx2MnjX5yvW46muxvObKbBXxSONK7vSJ2jONjRmzSL8SEV9xA/VhIkkRAS8H96w - 1PcpA473VDHeNe+K/N5/bKKAcLpj6BTitYCdkjTYfPXSMO0yW4ObS//CZvayBjZ0TQmlLsiIXPld - RL/6AWZMyLDyrDV97EdXk0zNb9CyHDfR1POyD1QMVWpzQzSwDng2fMrmDgGcpfqs3bgc1P2MsZ7D - OJqtvV3I4zU84/uniXX2VtcZ9BH3wP6zOaQrhucS5O+zRZ2bM+k0cA0Tvvn8SA9H/gDWbcvX8J6G - HFbF7BUtwactf/WQZYnLoX5fKw22ihsRiR8yne1HYMPEaQBWQGBX8/P+MOAeCg11UykDZJY3Z5iY - Q4+uqWOkwvZScMDbIAOjA5iGgeDeh57xcKnOobVi4f3dQN4vEQ2c9BORw/pKIHzhN9rY5Sdi+Z0X - Ydmeb9i/bR3wURa8AV6xOxC54/JqBgAIEHRPSl1zOui0uYQ1HOdx8+MrsNAxuQGdPkrEve5Nuvbe - pQBfvKCPr/5eP/o4S9v0eaBKEveA+LrvwvvtUlG3m2JvaWG9QtbeciQcTk/A5P0rgXO6f2OHVq+h - yAq/B189g5XLrmXzPbv58Bw55Ps8F6zdXRb+zTc3rR5IRQ8EHg+xifHySbwl1g0TQuGgYUN3an2U - NtQEL8FSyGcjnnQ29+IMC6zrhB+aGixi2RLI7/YGPpyBMdAksDpgEYFRM4Rvth6yMIYTE0saRHY1 - MKu6hZLIGQsCvker+fDYQ8lu6w/VlzZm882WEqnPTx5hnl2yD85u4c9fkPotflLCULcBeph12CZn - RydfvgHf/YEqa13BUj4+M6zqIaHaJfe9z+vcwp8+J9wtVaL1DoYeDldNpZ4aymzEB7IBRkgA6fjE - YutbGxrYXUKd2sM0pbO0aU1on6hPhn74iu/5icCS5Q6RKooBy2I1hwR2V6wl7dNbPJ3bwNTZIaqO - 9pCu55DV8JFcObIZ+5XNTt/5QFKJgZg48QPLAafsR+22I7A7S+k8Pl4j+OojspPFTzULmcjB42tU - 8RGVd71/a1UNr6+oRRvzLVckNIIz2I1nBck0lbx5oywJjNAZYf+zauAPn/300iGaAm++h5UNK5jb - SPIvaTRbU5RJj6Q/oM0J68N6GuwNJCgOkawEqzfX+5cNY15cqHNctWqKHNDB08MQMDpbnsfO85aT - ZvWxw7/9tu6vibhvxzKgf9bjcn+4UHF4n6z6Ix0YBsMIBdZ42NkrPVuG4ejD0K9Dqu+euTfIE3cG - ennjcDB/jgM7r7YEskBZ0fvmhyl98UYOn+XHQRy+XQBr23cMj/f9ierZRWLL3OUmvKw0QJfw+kiX - 5SGZ8Osv0XsD+HRh+DjLZrys2HlZkff++mcQ5mWGZPQpBtrHxxnOVnynNqdWw5qK801OdkDD6FjQ - dOqadAQWG49Iun2WiHXmHMLbxdvSb/9X0y0/dUCkOJp21/OSsr7gV0jXDNLk9jlG6+4NENiNKiVC - j1SwSJdbBjvutKFGFNjsq39cGO1MA2txoESrs0E12Fy6F/75HbqStw+uDS9Sa06LYdoqSi1/9x+1 - PheVMVrZClCv+ZOwy2ZOWZRXBkRchREI+7ViZYTiHz9SfdrZ3sxfFENm44Z+++lRsZYlCeD0+U6t - YkmGxXbrAmruZcWe79GhwXObQ241CzK/fTHq/RFocCBlTrGMAGvF3dPe82dt/PInHb7PuwFTfqc4 - OPapPtNXbIPEL3yKFrHXGdkfDTloAKTOKVurlYuPREqbwMG4YeOw3BvvBpFe20RCMGbT67JX4Ho6 - Eaot1jqsUhQ3MMXpk2y+zxtT4TFKm7aZENF4wqgjP2agP14x2itbZxjyuyzBZxwhjE+0ZeuWlZ30 - rgKOlHzDD7/1AnqZcKT86s353kAffOjAqA82hTfrsYqgKRj/xvPxYD4FgPTGJltX4sD4UsIVfnZZ - ifb5bFfzZIU9JN5tiw1p0KJpnU0B2kJbE+B7uFqs4LrC7NhuaeBF8zDVO3qCJzu4U8/nt8O0KeTu - p6+RHOnPlGwKX4C/vGa/1tBbWb1qsK73E4KuIeqE3Lz5p48xyvNLumg3r4OX2Qi++Cow4h7HHGaj - OlF0wtVQt45G4Ddf+vqNLqLuul9h6s9Pqu0I0RkXiDYkXrIl/JSP0azVnxL8+Nq3pmCg+WxuwOMz - KEhSnxMbQ+CKEumJRzVsqQPf2kdR0B9VTOZiuqQscH0TbPMkxqga/YqxWvXhZOOUqvdHzwZu2ENp - fV4y6mUbu5pHts7wMTbHP3yy8N+A4J77B2y5sZculXUb/9Rjl7RNSSQ/Rohv95ZasugMw2jtc7BZ - tYzs5lQZOE0QTuCXb1n6VgG74qp14HZxtkjgWVUtt9O7gRvo7b/5yNlj3aH1oSA6V6xEoe8tp8Ig - EuoPBWrHOIsW3HAhBIV8Io10aoYZHxoIB0m8Y91R+nQtnciWo+Qu4r6W23SV/VaB1uHm4sc3H5sP - 5pOTrOerxQFQABs2/GSAr1/Dpoe9lEr5iYNizd5kd9jZEalvsIPfvJDw2/4zzLtDTqCyvjVqRrns - sWGzrUHUriJ6zS1Kp4ejrXAUIoyt7XEC/UXqczh57ojeQnaKFmWxIDy9NmfqxosD5vNSGLCp5hs2 - bqmS7qqmtqEvtjya7f2LzeCxKvJP7zmHfKz+5D2lu3lQt4yHYUROdYJvPjv+wUvyLqYE7lvZIez8 - 9r1VewkC/JjYRfL9SfRFcoYbdPP+je3VuDJCSMbBl/x+kOG0Dt4aC8QGJj6eqfuwuWjdsr6HPCcz - jDSeALJlfQfTnAzUmg7zsFy5isAuEc5U4bfHiGRegKR3VRyoqc12RGHjNZBahkk2eX6JaFBcbMja - JEdC2zY6u/JyDMVHZOFDc5sqcqmPifzLR4zjRR2E17NG4JFcOMQ/T4gNRrdZJW7CGtlv2yZdDw2M - gaxnGuGduGQL2ys9pJE3E3h48/o6n60cKP78oJZx34K5avSzHHAniIT1EVWrYC0J9Nbl+O987pfv - ZBjq2Jo4Aywm0DYwAMv9h3/V+IpfAoxgd6GHfhdW7NDoBTgMN0jtj7kwcrwOLtAWLyOPca8Btn8h - EzwOc4fN4iik4xF1K7z1akY17lEOsyqtNdzudgpF0LCq73qcwbrpO4w+91b/7o8afPEC8Zq3ZdRx - XHFvOP6DeupF05lVWj68EFehimoQ8Cdvha1p/fDf+6PvV3cNqRlzk0c9IudQvBKBOnvFBeN0nxIA - XeIjTmhyfT5YnQR//PDrT07e27X01fNf/Ms8Jl+r8I9f9rtzkk48b5wlphcmtTe3AEhqYppwb28Q - eXngkVKiyzbYOsX+u/5Pxm5MM0HT3G/Y9slVX/NV4WBiaD21T4M2LLV+TsBW1a+kEbmNTi/Eb+A3 - 3yKNW1x1FqtlBjMQ77HHPjZgMMmLn98iixZZ0eLvQwkeBz5Hb79FlTA7Qwb2vZjg4HTH6dy2RvHz - ixgZehPR4LK3QXQQRnSvsFetoIHJn3zH5Qf477wfXYozDsfTTie8YvegiF8vqo95xWbOR6EUjHP+ - p9+Zm157+M2bcHBtm2HW6lfx4wMCUjVj7MUbGYyflkUNd38CX39W/PQqNgUYDxNBtwYK53CLv/1f - ffX1CjXQulQTtnswajcug1Z7jqkOzkd9Nt8lkb55CQ1GF1Vrcn+X8MSkAmMUGmDBYYXkoYMBVp+X - Vf94OtwAo/xY37xQjXj9bMWgIDHG6ubcDaQDAMLhbMxUUZmuE/2aCNI8+AvGdDlVHD/cXbiOJCO7 - qrNS5mvRGXYN2Pwbr9bQrWHwvOfYZmURDddo54OttB7J/uZM3neecQZke7z++CRaCTlzMH/HFjJv - Wl1NBbJD8IoZR1VU3j2KrRsHF/HFCKcOacVu7UOB59jYEt6wh4FtIwLB2x9T+usn7mBehZ+fQEsg - fvQ/fHW1OPnrD9+ekOhZDgNdr7HhW260s6rwBOx9yX/5m09pFaYGfCTdgSrfPGVtu9wFwbjmRNJQ - 6X35xYXXvXHB5xEzNnqSQwCNDyp1hE+RjpckgBDGTKBKzgeMbR13s7+oq0k9fXdP2aHxCni/kIo6 - aSJWS0jeyj50ui395qdsXleFQP0Djth+vEJvjZEd/5mHAG/0U25zdXP409Nofr7BEngTARvk6tj2 - 3jqb/ZI28Ps+VFx2LZipOJ9gHwIfW1DR/sx3ZF7iLvRSF03ajOvdBaTefci2McRoiVhfwOvevOBA - ij0262MSgqO89NRx2+ew6GccA+8ouFSLgyJa3PlqgvBskD/zheXrzyX+rIx/5gtdbQR/9BzWw/nu - jec3UH7fk/qnCuhEstdG/s5LfvkBm/mLbQJO2dlUHT6dN2eXroc1Ss7UHXVTpwk9zLB/bCU0SLQd - xjXU6l/eSf2lXKrxZq83Ob/KFtrMzwPgzHdP4FU5FwjwrzmdQjJpgD8eUmyUepwuBVJOstJgiyor - LofdZb/voCVcj1j1gJx+8z5NynenCIFleQ2DcBwb8PVf1Pvm/eNhNslvPoLV95gNM7C6DaR8ElBU - S7VO5jPOwLmHGVZkzoiWGqvZrx6sLAVJv/MqDlbKohH5fIzB0igfG26QrdNLplbRPFEhBz88BXfx - w1YV9yYsicAToG5P+vjbj++i5r7zPNGb7PhYy8W6z8gbI/dPXgRvC+fRZ6ca+jolWw1883eypVoe - sfCd9NA5yU+Kglmpdms4JHuY9Tfsm5t7Shdb6qHjPVT6+FQr+Pz8JRC/XfrF/z/5tRQfQ6ojpFb8 - +i4FaGbdGStfPOieaG8CDbxdHIz7Evz0mSRcUUjKbaV6/OtMN8A1/N2Xz0qdgmXu5EUxMLa3Vum9 - el5GEu3UAPvnwgQfUXI4iAsUY2Pc2Pq6As+EQYsC1GBCopl/jsYvv6L27IfVgtdPDDUFXbDZiAsb - /WrugLwPG2yUaz9MWiWOf/ZLt3fjgb2FQ7c/SMTG7lx+9JXtzBl+uOqI5oExQDh37OHxfFGJwPwW - LJJTJbJb1CvNv/7nm1f4MC9vwne+W6bsFEvn3++xkfFbj5GXAGFwCVUaypyRLpvNNv/x30//DMQM - qxMYWYfxk2qb9Dc/A48zq8jwzW8moRk1uGseOfZdNkbjPlZPoNY3DckyKg5UUu4a5DvJwb5qnjy2 - e2sJ9O7nFqei7Xtr7O9CuT5tX188GdP5AMD6q5ca7XGqlnuj3+CnbA/Y2EPire/xlIPUX59fPFfS - OSuMDl7U2aTaN0+fc0uJ//SPfidbfX0So4T31cxxYHJBtZj0Iv6Zz6pqzfTFS0wNtmf6RGJJ22hh - e7uHhoMeSCpyIxX6q1uDZ9QhwuLJGPhhuCN4d+IOSb2ZpH2ZttJPL1KsDbpHIziKv/pR/XZ4nfm3 - MYGynmvUu4sOWKwd6n/4SP0tIX/4EP79OxXwn//466//8zth0HSP/P09GDDly/TP/zoq8M/kkfyT - 44R/UuHPSQQyJkX+97/+fQjh78/QNZ/p/05dnbfj3//6S/xz2uDvqZuS93+7/I/vu/7zH/8PAAD/ - /wMAVLQZa+EgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7be211ab1afd169e-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 26 Apr 2023 21:55:16 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '172' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 5b810c395d48248e473bc4e53de0eafa - status: - code: 200 - message: OK -- request: - body: '{"input": ["Sample text 1"], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '92' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6SxOyOrfm/PsVu/aU/kpFJIs9AwG5miB4o6urSwQREJFLAuTU+e9d+p463T1x - ALGiycpzW/mPf/31199NUmb34e9//vr7VfTD3//j+yy9Dbe///nrf/7rr7/++us/fp//38isTrI0 - Ld75b/jvZfFOs+nvf/5a/veT/zvon7/+NuPiQ5nS1Anz5acM4uJ1ZNpa6bouyZMjLJdQMZs0H071 - gcrA3keVHUtt4GxxmpbKpd8Q5urcTppOaEXZRcct8U/hJ+LRfchQhzZv4iqmnoz4sN3CaV17ePPq - P15npqcc9Pf9yLCTWmi8r4mBLoLgMxWNqKR6tKTwcM83rLRb8OZ4jLcgX4URN/ux8KgSvxtUsFJl - ji1XiBfJs1dO/JwwcyO5+oS8tQGQGluyS6ibDOB1N3AIDfAQNarXy5f4iE5iTpgpd5bOk8GtoPH0 - HsOptJOxux9cqNitYI6nd2WR7zcusGJ7JGpq5px/KtyjfIMRUzeG7bHJkVto/O1AVxpqk1m0BRFN - SbH/vdeHi6MBXGZXI/jlC5wv2PWIOOlvTDvOQTJpbiSjOiUWBn67JNy/Xn3wyyUi2HaSjkVXVwX5 - yBFTYytLhsxY9LBYXp/EROPEh9rYuqjFqkWiNiiSWeR2C/JN7Yl/Pr8iflyNAbCk7Yg1r4/JpO0M - G8xTsGGOfa35tHx1Mypq4cX2/uB59LA73SC1IoMR65B3w1IPd0qRVwqx/fuKT055zWVf2nV487pf - +fRQ7Roqeq6JqepFN54Wnx088MckesuJ3t+PqyvE75tLZ3o8JPMhMlr4iF2GZWU36/w45bmSc/HI - dLy0+GQ3VoMEB9XM552YTNkhCiFU45KiTaXpq9qOJbg894jo7eGgz6zoCpgyqhHttEbelK2XPRQv - pWLO+/XoRr69jhBErUy2w1R11K1iEbQNbYlNLi3nPpF6KNr9kaloj/mYvhoK8Ts1iZvG124+NMxA - S6FGeNwYjc6mdyOB3jIdo4Sq5ci3wQzWLgqZKgPhc56QEbFzLBNVjktv1q39HQQtCEhc58vvfCOF - o9V/8GrLRG/EdZWBtspkorfhAk3Ds/VBavSQOc6ClJOmNT3o7+xIdPKu0LiT9mcYqLRlD+uglnxx - WI0gLsUdMbfUSqbMWFMQUfDBrWaXXcv2xxEuihQwa65PUecf7zbo/RIRuz28k2lJ9XAhn0WJqcl0 - jJpTezuDoF08st9Pli6K2b4CRweN2K3aJDRcbRuI5lRiu+tcd62elwKasl5j3/pG7RvWNdSZb7Mt - fY1Rfw9e7YabqoXFSyZ7rHhMdzADATOrZ/eo74bABr2bF7jE4Qf1lXWtwdkqKv2eRj7nPZ5huoQp - 3by8mI+ysLuDYFaIHA2ZdsxE3oyGz+fAtFVYc25eZwOma3JkhlUZ3YgRwihXypoZxUg5m86rCriG - MDG37Oy1b+loo/ipFsQx4lXZiuvgKhedfyJeLIlRf0rFUZaKpiPGM4m42BQTVRabycYoyYJo5NOB - /v4PcR8z6bgvhi749InpSp/LaKoX8xHBZT4Tc/Pu9LES4wJC9dwQuzvPel9ZCwEtlrcn80f/xbn0 - DnuwrBMmuNq9kikw1ZtS9ZgSo3rb+ojjZwHdOtdYGNmWN873cwPB4aUwL/G3nZhnkg2N2ZlULoYK - fUBUJZCjzsALYSGgQWu2LgzDAqhQzxKnsRbsAMKsJbozyeWc7ycXILUV4i7GRufF9ixDcmcYr4Ps - HU1ZPM8/fGV7Zn6i+Q2LCqzj7sFIwaSOfZS4gGY3AXMVKU9md3J24EK5ZNvDAXs0h3knT+mg4sXz - mnv9/Vk1Pzwi1iy+SiqkwRZEFH6IK9wT1M+fvQyOc26Yux2R1/zqoz6PFcPv6ovfnlEp/ttsmRXd - PL3vXv4ZhdbKomsehwmT4HMHTRFuzDEQ72YRoSUSsHOmrMjijn+UAW+++8H2YWR6IjvlNTQ7puFl - zVSPhviDoajhxbCzeKFRXtUAoowHLO1x5VF309TQaOcb28X6q+PJZ1dAEloiXqFHyHlSdTtUPJsN - nkRJRZ+l9RTBneaantTjs5ycMijAIujD9M+iTJh0kEK4CODjObotEY2VRJCDu3tjhhWZnRhebCo7 - 6rzHyzL0EV+wdY9++OBPgcbnHPtLcDe+S2JPtEs+mmK1CaP8Tqx+LyQ0dz5XFHf9iuz7riypgoYW - tNHBxLs5p6TvPmxEl0+bM3OzufJZSbsePbaSSHR3JZaTrYU5DP3KJMbr9vL4wjmHSBNzkcXVxtep - aIsimPfpitf0dI64eSyO8JkuM3OzRdjNwlHK5STOHsRVmlGflVrH8P0+Mcpli9o8vNfyZ/Uu6Glj - 7vUex88c9I4azL8kozeHF7VHx70VEPyObH391SOQC++CrjYXmXfSPi9Q8hAt4s9rt6wF2wkgCWBB - jAKPnPvHowvxKwjJtbHVkhejlAHs9xIhz2uuz65wodDo95Bg761EQ/2UrsCSpvutVzc4t0kF8+hu - KRLte0lF1Li/98xUX3k5yo9RBH+tMlz0fhxN2UnsYbrdDySklfadb8zgNOHyWz+G/hnmjw9SZ3vM - /uy9iPu6k/3wll0/+y5hIz7vIK4OB7oOG+AzO1sCTJHVEFzPV9RF4qWBKr8/sBifomjOHcVA2ux7 - zLxXbzSzQ5WDX6xlvDAdu0uHNMxA3NgTO4ufUzmzMwGkNy+PuYqc8p7vmkJ2hWpippycEfc/rQSO - fXl/+dLlfKEKM2LpOqPyFqceP8qqCrgPJOKPiwKNcpSGsHKDgKS+N3j88yhDkLPgTgda3fQ5ViIB - vvqRuIVX82bHXiKS6FXGY2xl0TQcZUCwJxJVosvTew16Hij44y2wEm5rfVhelwVoCtyY8+odfT7k - VqX85ntYIYt6y5Yo4qaj0GpHnG64dEmLHt7jwH71Ml26qIVsvX8y7Xsee2s9NXApA4lop1OqcylD - GIYqaJlh6auE6hdpRkt46My7lkn0Pd85uOtdSHaryuXf+rlDa2Qdc9y573pLrSSAm+BSCWuat/6U - fAuhvdHxeNcq3ortx4bUfXLm3WCORouFLqTODegkmjqfbHzK4LHPMUZXLY34cbiOkDyWFvEvt2fU - p8dnj4qWHOnzIhgRT+5e/dOfzBNbuexlPC3Rg7S7P/px/vIVGtomJLYvRGh2XX6EBVogpjdtk/Ai - cjGqgvLG7G6ToSlQxxbqu+cxvbHdZLIVl8KXf+hnV9yT8b6oa3C0jUGMZx+iL56KKCRhR6xg30R8 - Go8GxHXsMFdXu4QVl1gAwZ4ZXj77GbWh0rpwNKuJbJmdelOw5zUAOY3Ev7gHfdaHCIOZtE/K2zmP - ZjHdSCh+XfZUXjw+Ho21coYpkFdU1lqtY8U2k+WhOr2Y4wg5n4Y4u8n652Ox3fmWebzFQQWPrSxi - MTaW0TTQl/tbH5qjMSmnpR4aKN/4CE9rF5fjPRgaOUkpwYuyWHX9V8+idN/0xLDEORq0amfAdPaf - uIvX725ava4GXMpQYubm7ekzy9gd4vqI2fc8cB4NfQb6p/bp0vSGkiqL1Q0sO3EpHKebzhedXYPg - CSXTRrLpxmpOM5SNqw2d2XUfTTVqayQf7gfmCkrnzfn52sIHKS5RkZ973/WRwXqIlHm32zGZw1AC - tMK5yqzzKY/4Fw9BTrwSr0efdLxorrAR5x4T936CbsS24KPlYpiJTTYNnxkvCtTsjQ9JVscAfSCX - baS3rU1s0jh8GFqnRzGVPsyTJsNbT4p+Br6VCEZJ+uxoeLH7P/rKseprMv3wrd3VJd7U2NLHzrvZ - qGAv9PVbTVL9+Lwxcky0dbLv5t/5CPcuZ+5itD2qy5kN3So1CBGE0euKle0jTR5rYoVm4M1CrAZQ - ZxeBCk76RqMFzg2ksn8zxzJuyTQsrnfw11tGrOnZltyY1wDhdWkz/3LTIl5MlyX68gtumhuN6rzf - zUhvioC+pNUdfWBY7aAo5wlPK81Cs6h6LdTH4Y37+Yyi/ucXpvh2wtxWKPrjh8w7v9I5SLcJX3Rq - pfz8sB95C8SK3LTBfzKdblmLvO6zM0awrmfCrKhrvTnWAkMxb9WLOK9hjYbM5uMPr4n79UujZY89 - nKYoY9/zo3dmqi3htHyEXz6Cbqqf0g26Tb9kN2UX6lPNPQNJHzViu1tMkqkufEOuj23P9HaZ8unB - 4xDkxCm//m1bjph5gLhznIntK6beV9cyRNVV27D9F48nW9n2imWSMxWTtIumi2nK6Ov3qKwhtRsr - Lz9Dks0eRdeiL/lU9iIMdZoyN0ViR396MTV3B/xcJ/uS366kQLg1TKZx4ZbMYvt0Qb7bFdnj18w/ - l+VuifTX8Y7X3DK6b/3RP/ip3pdPNNS16oIZEWCm1t08LpmOij6Kvvvhi859/WTDgsc5IxB10aRt - NFvh6jpkHhrenEvn9xXgivZYweIBzYecVJBLhsFUGT31mdUoAItsPsw/Ld/JzBjN5K9/pfzDuN7f - bWwjcVHEVIzrORpq/9lA8WRLvFhMe33EgGXQm7f31VerpNV3mxmmSB2Iq7y1RHybDxfVp76hMJ/8 - jhfbTNqw0ghYXI8vb7qcNhiEvfogptbJ+lCncNw0ZuV++StH7Q9PvviDV9u9pLPPUt6Cu/b2+LWl - 74j+6hUX7E5X8s3Wx1k2JJQkXciscCdwKp5uN8iVZ822Ufvy5jgU7jA8DZGosl15Q5ZlGPT6dqUK - 1fbJKts/MEot32HYMxdRYxWtBJemrohhXJ6o5/mth6PFK6p88kyfLmqbweUzJGy3vofdeF9bOyQY - mYFlRVZ4g+NPAUNurhiuA5lPMG1scMjkUSYoWiTqVbNF4vg5sH1YfX9P3apScFOLn5/Ue9ktDBjy - rUynMZc6vnDcClhoERxszic0DcdZAMHsRIwkUutD0D2XcHkXDdutIo83cp/vkHlJe6YTs+bcX5hn - eSG1B+aJ1sC56We5nM+rCEs4zL3RAu0KwX1/+sNvLTtbAHVYLJmaXnA3u82zBr3EFV3W2dObanVn - IMfCI7M/49Wb2QlCJD0rRrYDqcvZXV1FENfbDSOCEHh8VC4qsDo0CDG7uuMmtZeoTl2fOdWO6WPq - uz7EpXv74mPjzQzSHvyXwIlRPAjinz7MlWFQgDQf5iTc/GwM9OUbslu94nJaXvMlXMoLx3BRsE71 - j35HjRafiJpeaMeKywGAb2VCBe+Yo/qw3TfQLRObDl89N7vKeFa6zcSYtipNtMQGvcvizB3K1Mst - 6Xe3yw6q++FDVNmZOTNF2P74A8fe61NOy7tU/fI45hbeDo3dVbv+yau0i2AkortbBOsvfuKFIX3K - H38r4lidibo5WfqErvUZjo74pCv0mBErdqEAHSjlHz081CrewXLBZppGu8LrO+/mAt/ZAtE/fh19 - /awE7fbMCbFKnFB9NfdKMZz3+Hnxz96k7S5LOI32m2lHvtAnyGcX8rUjkN95o2ES3OHhBBlLadkl - s1hoLcix1jFTPxy9wTl/QlnqLwpd05MY9fj0yoBVrs+sAK91JmFLQl8/h8XlNPAJdE+GKoufRG+f - WjIEN6GAfCX4THcIdHxUHqqsTTbB0rd+ukU9ir88gQqO3yDu66krL3iS0wAxn8/NW8sgicsbvkTK - mvP2PBqyHFxPX30Rd3zC26uymPyBmAhHnEvqJkSP/duh4s3Syok46xyS2+v81Sv7jpuv1Rb0blzQ - 7nZbRuyjKVuEh5gx/BqwPtWUnwF/LIP5p+qiDwM93JHU7XdY8IygG090NUMSSAaxmyT1xnTuvvnk - tmc7cWcj/vMvjEkJOyzHhlMlWN7l1szfxPb7nT7+8peYwYuYGU0jtuCNIbc2TfDGfQ5lvzusK0ju - TcT8izvp7CjbW/TNa+gru7NuGixJRa0veMyKHN+bLoaMQc7CO9vFYlEO2anbgrMj7JsvbX75ZgGO - urb/jBf1ive//ITOdJV3PLmgJZKeNSPGNx/48cWmqihh/sRxt4F7e0PDsNHwdNrmHdXzEqDOsM3M - dPfi07CoXCQY+YJsWZvocy61ZyRsE4uZmbDvZn0qBDiBMNPkehjKnguqoCzE1xHTmvQ6Ty6NDR1C - b2Ju0yaZwya5gv7c9RR996e39ncXnTazgKXufdDFePOQZZGPLtstn0rHzIAGv/XBEj4q5Wug8R2G - 5nWiDCo34v6RiWgKpBXTjqT85gdCBc6+upLIdg98VuJIAKnRQrbvHbOctJBfUdG6MXO+53tMXzmF - bvVcEH9aKsmIMwOgqtGWKrTsojHVix5S5wq4XeRrNNTrcInYrWZEO72GhE0SqiHIgpAY+U7iQx1f - ZXD8/M5cPYy98bffjmGumTatonL+5rmoPrI32++DNR9q/9Oi4LQaMJy2sTcNiyBTjsZr/OVv3rCc - 614W1ANhxlOZ+DRYowoPy62/+PLWabzxfWD3qaCyZusd+1S7HjV7p6J5esGlqK9kCvl6azOiXM/e - mCLPRt/1JbrXRH/8FwSnecbfPAK9Lk7aoHZXlWy30pNuWraWjz4LVyDemooljc9y/sMH+pKijM86 - iUP0WZANwy8v8L79hCXIZe3gEbGeM+mBpT9+qoWt+NW/doDM+FXhMW325RK34Etc22B6NNMkGqtZ - G8FKcp1Zh6JMVjUqakjVzZ14sbmJRvlyOKJU14/E9oclGl5ICKDRkhMum26tD/YZBFS9QWD2fhrR - aDn+7ZcvEuwZY0e/+TZydEFjpj7rSf37P/izdZh1KEN9WOrDiHA1xkxvkJWMeN3doXjJH+bPxlBO - mtJXKE5RQyd+h4jqpBdkM10fib1/6N6PL5D8OF8xzMa+W5tUFSG4SC3NbJA6tnC29Z985scPc+xm - AnzzXCwvcOuNaRCDbEbGjtyE3vcmzU1kYHHB2TZ4LPjnh1/C3rzRBWz9aKyCxx1+ea13PezLOW5M - H5IH2jIi3GdvGmydwkli2z/1w4tKw8CYnBAC2z6Z6rar5aHEFIvrvuBULLQGzPN5Rb55hcd/+/fr - T7h3HSMq6FOh1OGLMVc9r6I+FfkVllxqWOath26Ol5ABy4UrM+9bB/W4IxLgonli3oYPzvwjWyLz - iJWff+d9mmq+chr3BV5889hpeYUCkmy1I/Zn30UDyNVRyvmGEFXiH692ib5TOOEn5t3iVyfqpAf4 - 5d3qvSzQF5+O6Mv3xJS0yXtdiqUL4WX2f3lqOSyvjYi++gA3jYK8lqmxiE5SazHtOD3LIXi/RoBj - l/7R780JvVTQ6zQiqhRuEHUV6Qj5xlXpOjwzj+qkAri83yXTRLPkc6M2qtytuzUVvnzDpTO7gT81 - NsPuXHDmz+cd+GPlU+rpT8QWEAVKt7o5dJQKV+dRrmD07Rcx4wW6zj8l2qJsc4kpXIaUT867Cf/k - Yf7Xz021/2lkRx333/oOuvaX/6ZbiNnRQGnSjTjbQeOrA62+/DjreRDAdDQ+jCywGolhpbcQXkYf - D8Ne69hxNYagjbsIr9Jr1PHjSgoguNs3jMRW7vj0cG4/vfjD53IY7McV4ue2IPs9cTzacKlHSaii - 7/55SS/vbkeIO7oiKsJpyRdvo4DHzmiJxdEYcfOlqBBcFi/m1GTFe5mYBRQdPpFfPv315xRVzzwh - JF+PnBWXVwOCI3aUN6399cvB/ecfifnNU2elpc2PH/H0zccG+BxakLPThRGl2SWzfhlnpXGkFUv3 - 01sfZ+/RIDlIAyp/83++cLIAQt+byZ5d1t4vfwdrP03MMHZbPmTFIADfLlyyjZwVGpaWUmxaHzxy - 4ShIeOL51fq0KjFthXvCp0tpiZBi+u2fnMqIRVsewLcfTB+WNib9LPsydKN3xcu8OaM5D+8Vqh/H - BTl885XhmwcoR3udY3m7p8msxKxFzd6rqODyqZxscwXQLbY5Xk/zp5sCpxTh+/6Pv2kq+Rmib/+T - bXt/k8xMMoVfv5D96bf+8tpv/kqMcnsv52+/GnD+qsg26jgfU6S7v7wQr7n8LLnvNQJ895fOga8n - 4q+efDgmTP/4u2QthZ4AD02U8Rw8HnwIVKkF6yC8mauedt3MHHOLqt6n/6Vflq2FIYi1J9O//WD+ - 6WuMgsTI2DagWjJibm/h79+tgP/8119//a/fDYO6SbPX92LAkE3Dv//7qsC/b+nt38ul+G8m/rmJ - QPtbnv39z39dQvj70zX1Z/jfQ1Nl7/7vf/6S/tw2+Htohtvr/3n8r+9c//mv/wMAAP//AwCkxTP2 - 4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7be211ac8cdd169e-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 26 Apr 2023 21:55:16 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '114' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - d39b785f954e1f1cc64746735c44b522 - status: - code: 200 - message: OK -- request: - body: '{"input": [[18031, 1495, 220, 16]], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '99' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaS6+zOrel+9+v2Nrd1KcQQvDM7nELECB2EnItlUpACOEWrjbgo/PfS+Q9OlXV - WQ0WS3jZnmM+Y9j/8a+//vq7CrM46v/+56+/i7Tr//4f87NX0Ad///PX//zXX3/99dd//H7+f2/G - ZRi/Xuk3+b3++2X6fcXj3//8Jfz3k//70j9//b0V0oz2TVyG/Rt/ZNCN/sr2Me7CatyjC9C+y5mX - y43OQnuxAIvnCnstoOdMy07C9hEVhJkt2odNlyJNVtPEIEoy1f743G1jZLXFlxxOSA8nvUg1eOgL - D6/UpEFVYO8qqKnns11X2uEU90xB2Ft4zPyMSGcv90Ihft0eeDxtwR3erNbgvRZXmEq31O0M8w5I - JkRhxjHIEe8+Y7d9RWbIdlbj+NPo3A2Quk4le1l0UBc5bQCvLtjjplK3qPWm5xE1kkGYHTeWz+3O - yWFydYrlGuxwuiw+JoTHRcZ2TVRl6Td8OhAk2oUYtvvRJ+kSd4jcHcRUPbfCro6bBnxjonSpJE04 - tCqWUXROMbOc3spYFY0ShI+FQry1v8jGYv2IUOccQ+YIx2M4Tu7FRAGx9ng7VPeQuyf7CJcSZKJc - 4jCkyzhQQLqEiLkv7x32RskqSDaPhOzS85ixM9I0VHmKRZ6SmIaDH0kNdHvoyQGg8CfxNFzg2wYt - sfB0Caf2k9sw+ReZWXe15MMldkVkyreCkbF1EdWN6w1sj+gMq2qC+nCfmtsXdEDw/rjiUzLYkYxF - 3GGBWY9sqCK7hGp1/hLvEqUtX/tPE/L11SRe3GLe093uAfhauhSx4hSO6Gk04G/ZG6/XdNIn7g3J - dp5fpmwDi0+X+JujJOFftrdKMRyXb/8GYV2UdHVdqLoYWE8JTvtaJkZQn3Q+uSiF9zfV5vlC4bgR - 8w7sbpWzgzC926HcVBWoaikTbJk5olZTi0BisSE7NWn4KBC7g2TcXdkeENG5nlcUkmo0iKkbj5Cr - KTkix7oBXlzflc/Kpw1QqkTDqA6VbHSPiQif9H5m1nlN+HjX3x36jU87RZnLyfr1AMaOhLz7j8BH - fE0aeFzyHi8sU3RHvbjEEPeLDVGOzyWaKmhsKJ/ZmR0ih3C+eD06cEfxQtSpydGkfrYBaK6tsVhV - Fc73/XWA9Vk0yb56We3gHO8lJMmQ4rpLM7c5+JcBmnd0ZF61vPHaYZEBBCdA9M/lGw5xr5+XU7uQ - fvvRr4aqOUN2WXvEWJ0sfdUohxy2vqQRUkeV2x8fWgfJ8bVhujfmYf2muYbe30RjhH22s36sG/hm - jz3Trh/G+3qbxZs+j3Z46M0NYqwcE5CxfGAEraKMZivlCNwo15jN9UPH5lGCflV12i43Q8bHhk5w - 501M5Wx68knTzQgu8QWRpziysJNW7gLtd+OJ4ckq+dS8NQPOYebP+mCgIe7dMyruyy87VDHT6WlT - 5CCevpgQLTmj+pHnDxQeISNeuVrr1Uk+drJbe1fiFjfR791RtGXnXjXE2Nx8LsjrD90GZLfHWyIe - /eEbjBTmeifa9UMQx6KGwZFOLp3IOfPH3XfyUH9x7kTvs1bnlrMpIV7M9dIbk8/ITTFBoFPC9C0U - fOLdVIGiqISYhViEw8M4BttPc2PEXTPb56wcU8jXF5Xdj2sr5CtW5tAL45aZ1l5r1ytS2UALZtFl - /8naSjwdJWgsd4dHWViEdIsmE+J+uaCLd73Rqf86mlAZWkOceyxnY5d+HOi044Io62OlTwK5yRC/ - WhcvV8PXn9zjRKG+Sjr76f3gHN85fM7am3nOQWq7LdTpn/Fg103C6aefwyMT2KwHqLe7SZPDsTDw - 8m0nLsUroQL340lErZLCp2hz1GCXxA1RDCdyuy30IlzW54p5zJBR4w5SCoF0ydm837OBlkayrV+b - hpHi7mUUbaIbuu33Jt0cVqeW7ftnBMiOQ2YefN4OZ9RK6Js9Me3d7hnyNzk0m76Lv8wtbjt3/TSP - JTRSqGGx2yltx6znGY7jpWDEKAo0nuRSgq829Xg1tBnqfnpLzDRgankrWp6exRLC2pcwum3PfBwb - V0OhUq3w4nA02sZhnwbm/kGjRv74g75TYjDle8P2Ec4Qc0/2GV764OLt7rsK2c4ORfkl0IA5Ltm1 - 6zfZ3+Sz4BywKF88NIz7dYXMVLvO+1nNRuniCSDa4JDL7W3zyX89jM2oRhFxN8IWdc+ifqCcKStC - vveM05RvKTiWisk+MK5hf1m8BfTbj/YleerT4dJW6L0WVsR9e2LGX+05AV58TEKOm8Kd+tzEaOvm - Ijv7kZt1j/wmwnMxhhj4/uYPYX2+wOPynZhGjTMa8bWq5HMmvglZD4z/9Af+jGeu//YodWfZIfpA - L7nk+d3yrUaQm6bBcMYHd0DSkKO2vp/IzA++cNyoAizvekqHZJKzCklDiSpPs4gpP59ZubnWRxj3 - 0YKQNhqyuf85IK2UMwn03ZL3xfoRgxC/1mRXRYk+bmFNgS6UM9H8CHi/EasHYNHrCOFt5tLL4mOA - Oq2ALs0m1PubZmMQn3n72+/+9CwVEZhZnXCyPj79wfbKCk7N8USiZFD5cPsMMZymMsVTu1zy8hzt - vd96M5VwVx+W730MpxOo7DJ6bdsno2lCFxSYShEDPsrrtQxUvFfEcw6Ptm4SqwPfi154MXl+xhev - l4LOgn1gh4P4RaOqCTnUi/UGb+7L0c3iwxTD3elGds3vVz6qHyag52vlMWVzfWXd3M9l9j1OTK2S - WzucgkACTQi/RMsGh4+77yJFSrKM5/FEaHzkiQHZ1ZaJwb0UTW3yOkNRHY/kWt5798/6irX0pOW8 - HnwL+gLk++dEzEop9NZyVjK6Vt4aC+cgzrjxdQY08w6F3vi4X94r3lZVv0ss+o/SZ+7JKOGLuicj - t8VeH2lhJdvNoTqS8ChRTu1WogjQWafFzJeMmYiis+Ce2T7a2z4fa7+EUn59Zj5YttU3GDvohUEi - 6q6O+OBNyIH4WtVMlYQV6t1jJaJw/BrM3txDf4jpLQIviM8EyzfnD89Bdy47Zh/DLuzxNYcf79KN - +lHdNZJ8DdzjxsEbqyz0aqw3NnTnYmRqGU7+9NPjmU/oamh1Poz1Kob5/8EC0176cLxLAiiPyibK - Lf74VKBqgtbntUsTphr+lPqohG6/6Gc9lrN+fR4rlF1Ei3jpELZDIZ0mVJDqRFyz9tvxWfDjH57U - sViFw+Q6GOVx+GSO/3y7QxUpJfTh2mXKJXbcUTw1E9BSW9HWqKNwbD+3Eha7vfGnf3KjQDKKD1pD - Dm5X6ZPl5AoE395mdsLalsl3R4PbZHK8kldC21TQODDvL6K/yMvlb6bHgMXDSBRmnvQJ5AxDpOGE - LuZ6Gh3yBFR5ukflZ1W7dGqzCcxGW1MxG1W3D+x3Kn/Oas4IFhI+xDSO5ePmarH9SY7Dmbcq8M7x - Co9WLei8ywwZiTK26Cc9hf5UrNMLGuUOYfGe4mwE+VXJd40SPIzuKqSltMFo3A8dOQj9xGlYiwYE - lSLi6pJ8EU8nyYD6UK7/1O8Y2O8EhKWB2eGxy3SeHKMUXvrk0mnx6rMuPuxiMJ9sT1FfBPqYXaQS - eJ9mzEj5Jhy1/FCioFIRXT71g88H2ynRrB9Me5ZtOIpjVcKzfLnEuLyTkF+VvQwPd0GZM7gXNEFQ - G+jHB972kfjjRkwCaMc2xZvhS9BglNdh80kvB2Lu9tBOOxsf0UHYCmRPVhWf9fqGdknUkPtye0XV - 5DoeSgHbZBfYe59Obl0hcfIapoyu4Qq/+tbAOGH0tD4he2RSBcjmmBxi5xGOhll7IOU0x8LMk9P1 - Ldto5gOMLtsmzNW0SuGQXzBRbhl2h199WFzmbH9d2m0/tbEH7LY1iHvXaFjZXWUj89N9CenLYzjQ - UvHgKfIFleb1mFbHOoajYlTMQlIQ/qnPKEgHcuiyJuPZ9aEAuQk2s9Fd9Yefn3SP8g73KeG8yO+3 - BXrp8YsmyRS0Ne8KE4S1OWL+dqx2eO7aEtTTpsddOqCM3dTHBME9uOJ1caWIm3WVgua/H1S8v1Q0 - KIpSbU/PbUW8ZrkMO/F09SDrXw51LAeFlZrmAoQbmTDHchp3UpTE2L5vUkm822eN6BvzAZrBmP7w - ItfzpINZf//0m8ZqPgIsv/cjXaIVtFN6rgK4PSOBXa+Lsz/peWgjL4jOTHUpafk18RT5lQcd21Wf - WB+1fH8GfVXnRPsMms/7PBxQOEoTca/ajnf7nt/QZldLbHddfFze6dqwvWvsQjdD1/r81RUU3VGt - 0FV6VsIJr4Yb+N7k0tXUdj43606El9C/mSb6YtuN+2UF5jO44SLQD3y0WhajKq9MhvduMPPiyYG6 - THJyiBzG6+uy7NAYGMEffuoPl+cE7ecqMC8ZPohKwhGDeyLbP38/Ro4EqKaZSexj+MrG0dl5f75v - 7vatPy6XJ3v76wdzf+TDZ7IeMOsLXm+kE/rDs7NfYZqAPz4Xj+gC+a1vmAPBN+TfkN3kMbDedP05 - cp9aDbXRbpgeVDDcyWeRoyYgKstp7meHOV/Af/iZON/1Kqx/439svZZYfa6GK7xiJlJspaMcjx7i - SHpfNrNfZGFxK9y5fjAMivcmeO/KPq1fyNsYa8+Z9+8nbMn6GkCoNCs8uYeNTu9aYELqLI+4EY/f - rLtnbgPukwRUXDxtf5j3G7q3s19d8wVn7ugEMOc1M/8WLpcE+vjDY0ZEc3euPwy9mz7oUK4P/zXe - 3/d30WHBqx8f3FQnJ2pgfRCN+6aDxSLM6OIUxPp4XTYBmM9nyHZEOLfD4iXKKOvjHR53NfBGoPsU - Fovd6sf3nIvDxv75U1rN9bmaeQfNvMBs75TP/NU/JA89PniNJNlnxX0yQA2wREXdkMLpwIMc9jQk - eOYbNCZskuGe3Vd49KUyo/ZBHeBJ44o5xdrjdRMPGGXFq2d6G5d8LNaXSQ4/5xM7zHnX6JD4KM98 - hLnTJe6U8vHxJy/AL9q51awfcErPAlNjD7fTyztREEwnpWMTftyJmaWNDt1tmPOWhzv2GdyQ/E4o - wcKpzKZnaYvwFKcN2zevozuo2leBmV+I9XLLlleoEv7kY1g8MX1wmONBl8oBs/GtcodOew2QHGOB - 2KlA2ukzpcm2PhRAisDeh0Ng7y8oFn1n5uXnzIfHDk4yWmO+mjCnuehHqCD1bTacNOyS42RAq1BM - 1+c1QcXcDyH4MptWhtW7/OUeg+0lrunsV3do9ZufFMiBNpYThnR07uavXggxmilj6NmZaHGNJ3y9 - L+pfXpSDheQj209fyx2execBfv/oyN6XjXA918talddPvNDV2p/iQ5Jv1619I7jdWvpIy1sAxX2R - 0q3QT6jnXrqAA9QZ0d/OA7HlgmpAWGTSz32buj0rAxOW62pB7NEu/dnPSr/+QnaBfkB0dM7DdlTj - CKfwuoXjN7QkuFZJwch5s+CTvz1jiPvtghj4mrR0zqsgaoSY3Xb7NhxzUZ39/KljP75i2WXvyL3A - t3QVH0S979Iihra+eczKrmu/vyzuAhJr+YmHqO/5j59AZqsPcT2uubQCGsMquXnMQDcIp0vMcnnO - K/FiZ8aoDquThnYP50mXL7tCI90dAjkzspg+H4bHh+Y9pkDe7gtfluGaD298VH55xpy3PttJupwf - 21lviKIoPp9+fLNu33s6BpbKp8XLimDbHe50Nc8PNyxjAe3nwmjdpYJPn+XBQeT7omznb7A+sK8f - gAahwQ7idOMs+H5ypGWjiUHTj+H0OV1FcI/SbvZTERqWS7eEfRn0zNY0e85nrByWyypkEXpUnEWN - XsmBZXyJs9uZOpeE8iGb8qUg3jmKfPqZSkGWmRhh2X/2vHOO9xzyr+IzVdqMPj1cvgsUvB9ryrYy - a/lBWFdo+b25TDucPXfcfWUMeHd+MVd5p5xBIC8gK949lWxvwzndVSlIhmUzd7nwXFHAege3D9/R - IZ2SlgdWOyBsLBjBrquEs5+LZPuSErbbM9yi+CDHKFH2Jv69T1mZAXRBuWdeuSr46LCLieSvsCQ/ - P8FXrDmjYLhbs94c0HAKzjLsd/xEn7uy573lfrTtrH+YsU+nj636sGHOswjJzlU4sG/4AMXWOrqJ - 8ErvvRNoaL+gWzzMPL1qEkJlvPD27OCjrdu/OnxE7icp8ZQNoBfyfRNBH65cmnaG4w9BRSa0zb0V - 89RFlvH0vMhBSeBJ7hvpxPldyxYQof1p9oc7f8BX30DO+/Zku7m+Z32hkF33y7n/btvx54cGm6gU - ae/WHyVBq375Kk6z1bqle3oekHFYMOK8+97tfvtj5klix42UdeLpIcNLj15MvyrPcPit90Hv10z7 - DH7Gm+VzQrM/ZVq2Wmf0c3qmKJCuNZYuydPldJekW1Q/2bx/Wref/aJsrA+E7R72pPOXxyREd2ZJ - XC0veccP3RE2iyKnm/Khh/QUiBU6w16g5ewP1s8yoLB7i/bcL2/h7BdttKcP5+evMnZVVAk2u4bj - 2a+jYs5PkZR3OXOP27AdA/ueoP3NXJKfHrCxaSJQHo1N61351me9vqHCajeMrAeCRrTBw+97WHjk - vU4FEkuwZLces1BfIT7nfSjZPAs8Ds0hEyKnfUjLu5rS4yUO/SmqxwFo0WnMfhRZuDrJaQn9ZR8R - S8k2/q+foUayLgS/qdCyrxwfoXm/r/hT3kRO40Mnozk/YcrqOCAuTt4NBOwaxHa80e3v2StBW1/W - mJ1vtLbEVzkBRdGc+XuXjLFyK6D4dXmwOU92p1wMI+h9sZ75oc9GJYkqNIHf0lm4M2q3W01ORutK - TGWpuzyspAhdrfKGl+fNoRU7bZDBChYq1dfTOqQrci7/8JQDgeWP+T1ewJ1XMRbDb+MO5FaD7EhH - k/jhznPHgxDKsAWRzzyr6iwV9DO8cRFQHu48nZ82ywjUFN8Imf3X1CbXIyx6rjE3O03udLhkDehX - XWd7tx35aJgfDMtlExIjl7pwMkxkyrLk9HgjdmnGdtXpj/8kWFf3IQ/tBfx4m7l3DYczL6bbXl9R - 5o7NKus1Q49APUkVC/xnj8ab5qVQXW4PdpDWe9TL66UEwvrxnvOjN++/IZHQzkq3zGyUmDN8Gb3t - XuwTvAJZQpz3XgpWsDUJplrr//J2ac6TiNuGtVvssW5u5/n+k1+uDcsDuJhKS7SwTNtJ0x0bzf1+ - 9uejW7w8w4Elph7TvjLXO4lLE+q08wLnpiuj+o1rGTnvxmJ/8orP6SqAQ+7xnGcabntTrwaUz8+Z - uH0hu2yo7AeAc11QqVqwkHWZIYFskYzhZ57xoV5Ukazl1oYuzQL70z1jwS8PYfvykfl96pfz+SJ4 - tHx+P20X9/pxu6tii27F3tGn5bvHv/MY5hm27k/LZauhP/5MvsT6EJTSGbYg8Nl/IZ/vqmcl42vu - kr3bnlD1y39n/WNXqwnbxj5gEwqrEmi3fR3csYkHD3pfqJkqMsVfR43ewHx+hYO9o7b0+Die4eBS - gsWD77eTeJIuYD4fNzznle3wLOoAAumW//RZp/eMPcBCZfrLN0Nq7h8C6vUEEasInLDXd8Hll8cQ - /YhefAj3lxTIN6qJQ80hG99ka8BtCkuG/WDl99toVYJb4ytxTs8i7AViU7QjSfBbT737nccqm3M9 - 84SNBjVNEuC9tyKG6cpzHhBXoBzbAW9i/Mq6y0JtYKsXT7ZfIDPkdaxM2+sgiOyyOn31cT6fRPN5 - Mh0qSMLx59/9PhyJeU3X4XzeKIDfP0dmcE/j1GH9AubzT0IcJrY9+/bnTeqASwJqHttJfugXae6P - 9HPaRrNef+Ufv5M5L+e0fnEPdI9O9N1GQ9tnF5DhvVzf8ST6t5anEzzQ8q0syVUcNm5/Cqpo+zt/ - FF8dDce5P6JkExZ0FNmY8V11BUiSKcVii+qQ72xfhHuo50RV31lYP3ejg3Z3sWWkjjYh7z6iBuFj - u2MHeSqy6eXdNPjtH0y1KJu+6J5DpB0KYqdM0KebqmNAddDgiRqfbGqTxwJ20iDTJW91V/ydhymP - S8C8qDXD1U+vLvEN4c1Jjv3+l/+oTVoy7/Yx25F9izOKuM3oKG82fFj76zPg3Sll+/k8eCrWZYP0 - VfVmXiOr4aQolQl//24F/Oe//vrrf/1uGJTVKy7miwF9PPb//u+rAv8OXsG/BUH8NxP/3ESgXZDE - f//zX5cQ/q7bqqz7/91Xefzt/v7nL+nPbYO/+6oPiv/n8b/mb/3nv/4PAAAA//8DAPzVCbHhIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c0b986749b8f9cc-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 01 May 2023 22:52:31 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '18' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 0d93269b5615ee055622aca99d9e4aa9 - status: - code: 200 - message: OK -- request: - body: '{"input": [[18031, 1495, 220, 17]], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '99' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaWxO6vJbm7/eneOu9ZXYJCCTsO05yNlHxgFNTU4KIICgCCSRd/d2n8L+rp/vG - KgElhJW1nue38h//+Ouvvz9ZXeTj3//66++mGsa//9dy7H4bb3//66///Y+//vrrr//4ff6PK4s2 - K+736l3+Lv+drN73Yv77X3+J/3Xk/1/0r7/+Nhu9on7/9KJZFRRREw+dQKPUjAE9rMyjbnrqTPHl - c7CJYWMEP8GzpfZ+7hJi248X9HfvB+Gis+tn15R28BuMChKNDbN57gERpCyKsfPy5Z5sQNvCJPnM - OCQjqom2IzH4qlwgq9C3MqafrCOUQiZR92jTbMgDoQIseDyRnutzP21j5QbTwAWEMfSN5vdOyAEN - DxsamYUSDeo0OzpQCpsGkdMmgwYphPIKvvGmoW7PTvNVgI96Eqj/KDc1l4ptDLL31aGGPab2jIpm - gBEBb0SaY9DzUNghePeeO+pDXiWjwOMKykhqcAD9iz1bp0qBSh1uaOhpVUQlYXfQ2Ls+oDqzKsDS - +XuGVe56FMmt03+79e4INbBvMF5Hc8KfRrKDosJKitw97meJJSmIGnBHsFdLMF8vowI+YVuhefBE - QMbV14BfTdTo3qiPdrcu7ilUhhBjS8BRPeaKeYQ+egc4Eo4cLO9ThoJCMmxcH0rNiNenYGhWLXZf - LzmaLDzkUIsPGeHKS+LTvYgVbSOeZuo8U9TzIrcQvL2SkW4qQnuyzStZX73HBsdvf6inPJArUMM4 - wZZzczl73aYDNL4axDZJ9vVwnbUKxpK7I00yXGz2Xpk7OFWnkgYvV4xouvq62r15mwSWyteeTpsy - 1kceOnQLKEwGks0t6FbsSK1pq4P5As4hjBRI0PRhhi0aPB9gxvMSI13ec37s7TMM3rTEaGeRfqI2 - FQGukgv6PMqmn0/4GMOSrGvsRKdVRM+2d4Zb5N6wTV5GLWv+S4HeqVSplfWnZDrc7RtUBh9jL/y0 - YDa7jwLB5jhQy+l0m+SVn0NkIw9vNkBJxtaXQgj6S0+d3frN6bdLJ/BQxBe2XjHMiJI+fPhevSx8 - 4KOSzLRTz9oqJBPRYTkBNq20GwT17Y4N8y71syx8cribrohugPmsJ/CCKTRc5YCdXAmy+T2blT5C - H9HLt48SAo4qhJDcLbwJs3vPM9ASaEhqjjQvGAHFWhPDTX1LyWrIupq4PTxCr3ja2LWMB5j13kar - qFHvNDZPIR89FgrwPbcpxunVrdePKX1BYwUrjOyn17OT5JXwKVkx/TOfsKUHcMAvY3meHe9Srz/A - IKcGEUUtTuayxBB8uveAgHQMsjn+flMYhENPLUBUTsWzrYBgZm80NeUt4qN5ZHAsnDtRLkRLJns9 - yTqyooiQrXmpWXK3X9AXOowvZXevyTwZoZavWpNuGvxM2KPYuqq1cTG1/ZIC+sorCPdx0VG3dHZ8 - ErZXpKWW52Krvpc1+/T2AZi+MCIVXtuom078DNQxIki661lGFKWKwa3fVzgQlYCvm3giusQlFynd - /lVPjxApamE1Mg7m9QH8O1+13kTUlyvaQ/Y1W9jGtwZ7WC2TOXCvN9hf1hT/8tU4qnULe1HwqPtw - Wnt27+ILXov4jU3rZWTSoY9C6JSJifE6L7PXZf9wgbFVPHr/CIndR+imgMvBNGg0Jh5Yg2KE4HXd - +uRSdnpNEnHtA7A5D6iLnDabbnexgp+uGdBb2HY2HzdlBctJUjGiGz+RQoJbEM1Qxc5XKZK5jqcK - 3tBhRGs5ftcsHYsXYPxF6Ob9qDkPWOTD7FlEdLMZqmgctt0Xkmtg00itH/2k5dyFSfD+UjNtLjaN - taMMnlthR7IlHpZ4HeAVHtJfPgFMfiUyLDhRsJ+iFR/k3ekLdent0DCLdoDpvn6AEZKe1Pv2fTI7 - 3bz7U6+ConXs+bLqNNhotx3erg0DsMMcvOBmnVnUUTUZzNpXE+HQ6C1qHVb2/LtJfWik2pu6mmdE - cl75BTjqoo0D8Nn3zMT5AdrXcEWkefpEsyVdJkAGdETqWVQAuar9B9AMF0SVL0r06cCWwMvO6hEP - d6M9XLezBiVdi0nnJoeIfLzwC+CnCujmIbxrdumeBhw8IFETNU/AHbUn8OpETyQIngGYw8cdGNYr - QNaZ9gTz2jq7YHlfaBg+sKfzzEQ4ct/BtxmVCd8JCoRrsprxNoJN9tkN+gccn+xD5LjiEbOy7gjk - lfBGz0np7PE7XzXYbk8Cti26+81XC0qDc8LyPOBTNH0+0HY9gpSdwGqe1KEBb7djgANftAHreNyC - axSc6c1K1Z4MyceFxanzMCLiNZnbra+ARzoVtBA3PJrfpxApQTn2OLhs3pyvWdYCvv88kH5HRt9b - QWFoh75WkVw6E6e6pn/AirIzta+HTT/L59wF7+wuYVdxOZ/bzo/BMn8Emk7GSe8lFjQTfYvR9tDW - JD52JWR5yZAcV4k9+8LO0H7nL2IeJqNmkUI93NoS4/aa1bw+Pr8wdOUttsuK8e6y6hTYsNMDiept - 3893PzZ+6w1Nx1WSjMQcBCjsvyVZxZ5sT8c9ImD6pnsc7m/MHp7WCUKolQU+jMThfN4yBE3V4kSb - kZGx9XDy4SocJopWLbbp6zNZulYcJoov6jOiiWcRuAcPTua397VZ9MrYL5/iramt+4+bBwpc6jPd - wnIH+if0crDOLZs6wbnvJzgHORyIccHRaf/i1D7VDtTs3Z5mD6uuyToud1BoiUumerdO6Cnbu3Af - FkciCn0Usaq45yBVIxM7WtTwcVKBAN7eIyKqL9p81D3r9e/85r+1fiRPxYL3W/vE0eXpZSwdzy3U - 2D4jK2f94eN7JxfwfatyjEPfSsaDF1baC8UfpIBZ4OQX77OfWxQdqwRMg9fHsKuJisSDnCVzil8t - +LbiDge71zmZNkf/pSsb54hPHJ8TNtXcAegU59h5XTc9r/xjCx7uFFDPvIwJIf3Lgpp92FNvd90A - dgw2L/i4TRwv820z2760cM+rhkhX0kStoFoCZGaVkPm+yZM/40Elgti9H30+i8XWgBO8tRS7cp4N - L4scoXPGGjqy0MnWQJgN8BhlB3uRP0Sd5moxFJoupJbdsYRzU6qgO1eY+t3c8WE3mzf4CeoWibnS - JbPbSAo8YTH93Q/061tpQb/pN0R/bQvOxXOkwfuhnmjU2xt72ByNFzzyScf2fg4yHn1vMUiMpkT6 - umyjacOlHCz5gl7mwcomeZGDz+9qQ43U+GZ0uOcuLIlUU+OCT4Ah/yVDIsUPpNanRz/9xvfTw4gf - i77Q/EED6I1mHI3Jm0+fdepD4doQ6pdGFPF6d9fgCDYH9HbSVzacgxODdoJcbCz1fp5ULvzRL54+ - 1pwk4ioE76aCZNBvh4Rf1p8JSnztkjWHL8AHyfvCm7G3cSyHm2jYp+sP0OOKU5s7DZ/V24TgsDYq - aoFH3c8gfE/aBh1ntFYgrbmxvaYa5GVH7at5rplvhEyrOQoIH8Q6+QZTmoO3X3nk5bkfQA5bXwB3 - 7fPG+NYF9rI+HGAPaIee4ZGBKZmvE1wV9EZxqkbgK6Rr5RdfBMCTkcz8HBF4wK1BzcbV+VilDwtI - NjfIR0+8erqfoxYu9YbauTX2LBHXIfSK2ibd61Lbk/OgLlj0JoEbaRfxNHsWcFOnKcaF8simcDhq - sJMo+tXDbPr2SQ6xnshEpB2rOX0qMVjWN9J7JPX8azqpWpe+QnQj1DJ2/5oTOClaR4Tm2NXTqfuI - kM5HE9+j/px0llqX8PvmHVovemKMivsRqGFsICDZWrbo+wPs8ICwbe6s/k89q0azxDjxYzArqPah - ebICJHdOlix6/agdVl8XzUNqg3noPsLPzyCQP1nE6Hp24ODDmaIjtzh9Gf0H5ptcwlFsRBlLxJWv - RYa0xoZe3aOpq2++WjzIdtGjj4hP5hhCq98gwj2aZbPC+gk24TnE9p19OZOO+xjSZLejbvDMow8f - nBf4hpOII5fue/Z734X9YeitQNyPCXcKGJzGCIGTcQLzlTcIRoN6oObe0Tj3G8GFB1Q7aLeMZ8au - FkIfNQH6rpCUcXv7nPTseOLY9a0taKY9fYGKuDkC8FRmY+w+J7hLbldq4EedTUo85TokDwsjd097 - eumzAST+Z4+UG52TKauMHWzMo0H35OMm4xbVDvgqcrOVjefcz2rRMBjwCdJrI++T6ahmLrDlQCSa - jk0wJV2aw0fNBBoes8CeuZC68HU7ONh1mFHzTUBS0OTHB/aNGHIaFhsf8KpRaDijMhvSzfTS6bTf - UP9tmpyvbx8DEAk9yHyXp55tam7Au1fvEEcTS6b9TjjD+GI9qNN2fsSuz8nRN+g8I7463uvpeLoV - QHaVC93o5a1na/9YQsaeDJsWl/s3Ci8VvHhWSSZ7VOx+/9UEeFppBY3Dk5S0Htc/aviUR2r2b5pN - SNGOoLt0dxyX78yenaCNgQX98JffkunHCzznoVNUJKyeza7UtMcw+9heNUPPr16fw2ZOXaIv8U8u - XWdAL64INcSK9UzfyS0c7/bzTz0m5uX+0mZ0A6i/7WlCHtZ2AtJpPiGBbvys3xWjBtVDhLG9md58 - mnMTatXKlMinMaSeFcx2QP/UZEJ0eQ84U6EP/MNbpOhQl9HUZ08Ed95Rx57thf0QllgGxzPzicJm - MRt2W4PBi+BkSFlXfs1wPLVQGD4rHK81Kxni9KzBxf8TeZRwvehXBnPxsaLh5jr19GzjM7zE+pWa - s7fKyDKfEPf7J5Kf9SMa4RnKv+uJKNxgNF9WTw0aF6lH7AoUm0SvbILqhA1sb41TxPo++8DVeYqp - 4zTrZEx4XMB9dB2p+xRJ1JK6IvClbxmOj+tPTe7fgMH+oZTUlFKSMHfyHXhbnwUCLDwks7ntWnBp - 3D01u0sMRty+LfA5vS3EdmCsyR2FueavSLT4ZbNfb4tTqSz+n/BlPJNuxiFw4sMZL7/nnLvmDm6q - S07DMv/W38rtFK12Njn1l/mbtS8ToXSW9xQNUsM5vk1H+BhFB7sBiyLexMoAbXdDKLKf735Ui3GC - J29+UzvcbaPueewKIPrkRn56Vlr0DpiKs0TjXjWANM3sA4a1DhADj7qecy61MLB6beEjx2jC6XsH - axBccLw9xxlXilOrlSfpir7nW15Pd82JoVc+r+Tb623PfCBDmNnpDf/qN4uMxNcXHoff+e2dTZf9 - xYGkjkO8q59twsykNAA9bjscdlBLPsDXHRCHuo23cR6ChfeIsI0uHZHXbmATBw8f2GT7msz7Uwc4 - GQvyq7803m70jJUED+DImY5aa48ANU4HAsWGYmztwNh3jaIVULwRirp0c6jZcZMaEM7Vkdr6KYwm - KS4d6MS7M3Zq1YikHRMduMU2R9LCP+bgezD0JV9j98SHmptqcoZj4d5pqKEvGO8v+wxRHu9x5Dxo - NBiX+w0+bTUk6vMcR/PlcZbhwg+QdB6JPUssS+Fl7bbYcZpLMtrmoMDZuO7JkHl9xHkj+OCcqwm1 - nrmYzHcjJNA/NCK2PzaNhnX+HWBlWAO1PvrU89zjMvSe7Yl6+LNP6A0PTIuhs6FBcAxsktyjFsYb - I/yTTxZe5MPBFXIkL36f5aZ+g92m93GoFGM91NV808V56qnn+mYvi74TgqXeoVlKUdLvLNJqi58l - 8iS3PXN7eAa17dtE8YqqnuSpJHByErrEv2RPz/ByAAtPoY6srsCv/ursVOlIyrZJwg8r8wzXiX6g - W3El9mNIvNcfPxmXqQOY4R0E+IT6jUYsYcn4Os4yTD7DhXo02tUT9fgLjJ2j08BNmE3zGoSgsN4y - uRwCO2KfQkDAzfPPH741yNOHQBhcc2qbu6pnH8/6QBREBnX7jVfzj68fwWPPOmx4wttmb00qQdpu - JqTuToY9ty+Yq7/nQeLZsmdvXMd/9FXMAxJ9tvGUwkW/YXup/7wZmtcfvW+HuzEaoaYX8J63Mo21 - b5gN22E8gISSGGlVVtgT2PoyPF05pBs/DyN5WH8GbeGhhL3iPOPkVPvQc+46DsNrFhHkv0Tt6UCX - Rmi3BRreteGPP5D++cx7OpmjD043UfnxkHrRWwyoWXDF/mxe7FkVJhGqBH2p2zZWxq731xmA6+VM - +rES7GHrD1+I+GFLury58ElVWAqtzlWxu3aDaDbHIv/5LTK/1l7Np82kQaXfJKgZHqgWHyzbgS8V - bzhuUpz9qa+Xjf7ClkrbhCpVdwQLf0K7lxnxacRDBaydQynKDqCmKHyU8NQqR3zZ+TIf7lX6BaA6 - PWngizX/6QVt8bf0x48Yf6wJpORAcbjkJ35XzBKe7xAT5nR3ezqZxxwyUnt0+xGSaPIHp/zxj5+f - W/SF0sIlnvCSz+uprQMGVRWH9Ocvh9/vFz9L/RvdJ5zMVaE9PFpR3xpRMqVNU/z0wR9/wGpUI31o - jC3eBhnn/WjmDCRN59KIvcxkXYC1CxZeiLGz/gDS4Qj+0Z8/f0p6L7N+/gE7tDvUa98N0B9+Dhbe - xkDOd1A89ALiJX9ytlO0En7JXOBtlJd2N+4vMTCJlZB5FYwRi+NPDMxcv+CtYkQ1P5xFCHVQ69vx - NL4S+tNTthyJ1P2Kaf/jyfCn3xY9m3D9rBtwupwMokisz+YqfRi/90t/8SR90jWDvjyYSDeyLvlT - r4r4A6n7kppIjv28gIdr/cLewj/ENXy02lKfsJvWYj9oOXCgncTuwuPzhFmgQMD7tg8iLXxv8dcu - LFvlhDPhyDkFlUrAQWoMujxvRBf++PMf1IIPlEzXraqp37u8oebGvmbz5x6VkGltTa2Fh/PTaj+o - 96Yxqa0dE5srQvmFQ73aYzRLu2ziU3oGD0V+IVYMcbYm87eAe3Dn2L4emp49rC0DxZnYePN+2Hye - 9rSFQ2Nt0Wu3fgO2jssDlGsQ/3hD9vuuW5J/onvu9/3LVQIEriJ+E1hdlGS6zloJM604YVc6R3zp - 5xxBEjRf6qfoASac0gP48U5r25cJ78T14cdDFz+2ylj/xppWfpQvDqbUqb/xcHfAwm+wC9trNDIW - Gb/x0+hUAnvhJ62+PlmI+nS6J8y13wJw3w9/WU+fbOFv3x+PoeEDbuzRDE4iXHg7kh7CuydAYS9I - k8NuWQ9zQs/1IdW51AVIGKQNWCdeSKAl+A8kXt60p99ma4Fh0DOMn+o5m41NedDDmLs0ODRVL10z - 9QPryNtj91TpPSu/t1Bb+AdS3uYTfBR/IKC57xX6p58npS6DH/s1Yke45dHkH1MBat9zTO3t/mVT - cVzl/+YxLHSSWXT3OVQ27hHjR0CyGQnKBD3ptSKc8DNguRv4v/pD74+itnkpuiGg2jkik4s6zrw8 - dOESr0Ruj0kyrqsuhPtTLv7pB5Kmml+6nQVHUqZGmLBCc25QTeKIFqXoJLMUYgu8ttHwh5+w0+n2 - hegYlNRRe6MWB1C46o9HO216jYYHun1hqgYmTRGhoGt9PYSIBivy61dM5uM8wG2/wRQVL7MWnZrJ - 8Ncf88D9aX8vXWeBxQ9iV7lUYHqwZKeFD/lC2uFsZrKQrjSwnXyZWqfhyakilB/dnUuMLVM9RcVT - y5m29IOwZYVO1O3rQIQXZJ0W3uJxVrDIhSImGNFHQBJ+7QcHaqdD+6ffwQ+r4PyLH2z4wszJUyjL - f/OM9vvtyVLf/qyXepl/vvR7VPw9+0t96expBrIIowEckHCsOKD4PLSwgKNFJlq9wbQ26pu+5Ed6 - iEJSTyLEMSxnRSL6yqyW/m54hMYA9ji0FAHMVXox4HMwTPrjYwyktIK2F36xueRHkp5qC/ye/7D7 - Cv34y29SwR+E9iHlJPBjFz6E+Y6Reh5qIh33CAgzacn+1So90beBBR8uC/CmFA7ZzJB1g0aqvPHx - 4Udg0UM7ffk/BLfnIWPyK5PVxU9RLAxjPYcsOf74GrYlcQRsp7Dql//+9GP+9GcOq49LvaxjYBbW - uwN8btQH3ZzzlT2N+FXBCGt3vOgBzk9gA2FTXkIceh23J3XXWnCqLiWS3PidMHP9+cIfD9BPo5OJ - q9OtBE14DMlkEqeX8aQiKNy+XyS8k3vU78O3BnfGxadGVjqAaP6ggIU/oq44SfaMzsMNPgfLpIaL - AsD9QGDg11/96ddfvw/+/dsV8J//+Ouv//PbYdB+7kWzbAwYi3n8539tFfjn7X77pyjK/6Tyn50I - ZLiVxd//+vcmhL+7/tN24/8dP6/iPfz9r7+UP7sN/h4/4635b4f/sdzrP//x/wAAAP//AwC2t0TP - 4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c0b9867da38f9cc-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 01 May 2023 22:52:31 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '20' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 25535161a3c6c4c4d2d95830fc85649a - status: - code: 200 - message: OK -- request: - body: '{"input": [[18031, 1495, 220, 16]], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '99' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6SxOyOrfm/PsVu/aU/kpFJIs9AwG5miB4o6urSwQREJFLAuTU+e9d+p463T1x - ALGiycpzW/mPf/31199NUmb34e9//vr7VfTD3//j+yy9Dbe///nrf/7rr7/++us/fp//38isTrI0 - Ld75b/jvZfFOs+nvf/5a/veT/zvon7/+NuPiQ5nS1Anz5acM4uJ1ZNpa6bouyZMjLJdQMZs0H071 - gcrA3keVHUtt4GxxmpbKpd8Q5urcTppOaEXZRcct8U/hJ+LRfchQhzZv4iqmnoz4sN3CaV17ePPq - P15npqcc9Pf9yLCTWmi8r4mBLoLgMxWNqKR6tKTwcM83rLRb8OZ4jLcgX4URN/ux8KgSvxtUsFJl - ji1XiBfJs1dO/JwwcyO5+oS8tQGQGluyS6ibDOB1N3AIDfAQNarXy5f4iE5iTpgpd5bOk8GtoPH0 - HsOptJOxux9cqNitYI6nd2WR7zcusGJ7JGpq5px/KtyjfIMRUzeG7bHJkVto/O1AVxpqk1m0BRFN - SbH/vdeHi6MBXGZXI/jlC5wv2PWIOOlvTDvOQTJpbiSjOiUWBn67JNy/Xn3wyyUi2HaSjkVXVwX5 - yBFTYytLhsxY9LBYXp/EROPEh9rYuqjFqkWiNiiSWeR2C/JN7Yl/Pr8iflyNAbCk7Yg1r4/JpO0M - G8xTsGGOfa35tHx1Mypq4cX2/uB59LA73SC1IoMR65B3w1IPd0qRVwqx/fuKT055zWVf2nV487pf - +fRQ7Roqeq6JqepFN54Wnx088MckesuJ3t+PqyvE75tLZ3o8JPMhMlr4iF2GZWU36/w45bmSc/HI - dLy0+GQ3VoMEB9XM552YTNkhCiFU45KiTaXpq9qOJbg894jo7eGgz6zoCpgyqhHttEbelK2XPRQv - pWLO+/XoRr69jhBErUy2w1R11K1iEbQNbYlNLi3nPpF6KNr9kaloj/mYvhoK8Ts1iZvG124+NMxA - S6FGeNwYjc6mdyOB3jIdo4Sq5ci3wQzWLgqZKgPhc56QEbFzLBNVjktv1q39HQQtCEhc58vvfCOF - o9V/8GrLRG/EdZWBtspkorfhAk3Ds/VBavSQOc6ClJOmNT3o7+xIdPKu0LiT9mcYqLRlD+uglnxx - WI0gLsUdMbfUSqbMWFMQUfDBrWaXXcv2xxEuihQwa65PUecf7zbo/RIRuz28k2lJ9XAhn0WJqcl0 - jJpTezuDoF08st9Pli6K2b4CRweN2K3aJDRcbRuI5lRiu+tcd62elwKasl5j3/pG7RvWNdSZb7Mt - fY1Rfw9e7YabqoXFSyZ7rHhMdzADATOrZ/eo74bABr2bF7jE4Qf1lXWtwdkqKv2eRj7nPZ5huoQp - 3by8mI+ysLuDYFaIHA2ZdsxE3oyGz+fAtFVYc25eZwOma3JkhlUZ3YgRwihXypoZxUg5m86rCriG - MDG37Oy1b+loo/ipFsQx4lXZiuvgKhedfyJeLIlRf0rFUZaKpiPGM4m42BQTVRabycYoyYJo5NOB - /v4PcR8z6bgvhi749InpSp/LaKoX8xHBZT4Tc/Pu9LES4wJC9dwQuzvPel9ZCwEtlrcn80f/xbn0 - DnuwrBMmuNq9kikw1ZtS9ZgSo3rb+ojjZwHdOtdYGNmWN873cwPB4aUwL/G3nZhnkg2N2ZlULoYK - fUBUJZCjzsALYSGgQWu2LgzDAqhQzxKnsRbsAMKsJbozyeWc7ycXILUV4i7GRufF9ixDcmcYr4Ps - HU1ZPM8/fGV7Zn6i+Q2LCqzj7sFIwaSOfZS4gGY3AXMVKU9md3J24EK5ZNvDAXs0h3knT+mg4sXz - mnv9/Vk1Pzwi1iy+SiqkwRZEFH6IK9wT1M+fvQyOc26Yux2R1/zqoz6PFcPv6ovfnlEp/ttsmRXd - PL3vXv4ZhdbKomsehwmT4HMHTRFuzDEQ72YRoSUSsHOmrMjijn+UAW+++8H2YWR6IjvlNTQ7puFl - zVSPhviDoajhxbCzeKFRXtUAoowHLO1x5VF309TQaOcb28X6q+PJZ1dAEloiXqFHyHlSdTtUPJsN - nkRJRZ+l9RTBneaantTjs5ycMijAIujD9M+iTJh0kEK4CODjObotEY2VRJCDu3tjhhWZnRhebCo7 - 6rzHyzL0EV+wdY9++OBPgcbnHPtLcDe+S2JPtEs+mmK1CaP8Tqx+LyQ0dz5XFHf9iuz7riypgoYW - tNHBxLs5p6TvPmxEl0+bM3OzufJZSbsePbaSSHR3JZaTrYU5DP3KJMbr9vL4wjmHSBNzkcXVxtep - aIsimPfpitf0dI64eSyO8JkuM3OzRdjNwlHK5STOHsRVmlGflVrH8P0+Mcpli9o8vNfyZ/Uu6Glj - 7vUex88c9I4azL8kozeHF7VHx70VEPyObH391SOQC++CrjYXmXfSPi9Q8hAt4s9rt6wF2wkgCWBB - jAKPnPvHowvxKwjJtbHVkhejlAHs9xIhz2uuz65wodDo95Bg761EQ/2UrsCSpvutVzc4t0kF8+hu - KRLte0lF1Li/98xUX3k5yo9RBH+tMlz0fhxN2UnsYbrdDySklfadb8zgNOHyWz+G/hnmjw9SZ3vM - /uy9iPu6k/3wll0/+y5hIz7vIK4OB7oOG+AzO1sCTJHVEFzPV9RF4qWBKr8/sBifomjOHcVA2ux7 - zLxXbzSzQ5WDX6xlvDAdu0uHNMxA3NgTO4ufUzmzMwGkNy+PuYqc8p7vmkJ2hWpippycEfc/rQSO - fXl/+dLlfKEKM2LpOqPyFqceP8qqCrgPJOKPiwKNcpSGsHKDgKS+N3j88yhDkLPgTgda3fQ5ViIB - vvqRuIVX82bHXiKS6FXGY2xl0TQcZUCwJxJVosvTew16Hij44y2wEm5rfVhelwVoCtyY8+odfT7k - VqX85ntYIYt6y5Yo4qaj0GpHnG64dEmLHt7jwH71Ml26qIVsvX8y7Xsee2s9NXApA4lop1OqcylD - GIYqaJlh6auE6hdpRkt46My7lkn0Pd85uOtdSHaryuXf+rlDa2Qdc9y573pLrSSAm+BSCWuat/6U - fAuhvdHxeNcq3ortx4bUfXLm3WCORouFLqTODegkmjqfbHzK4LHPMUZXLY34cbiOkDyWFvEvt2fU - p8dnj4qWHOnzIhgRT+5e/dOfzBNbuexlPC3Rg7S7P/px/vIVGtomJLYvRGh2XX6EBVogpjdtk/Ai - cjGqgvLG7G6ToSlQxxbqu+cxvbHdZLIVl8KXf+hnV9yT8b6oa3C0jUGMZx+iL56KKCRhR6xg30R8 - Go8GxHXsMFdXu4QVl1gAwZ4ZXj77GbWh0rpwNKuJbJmdelOw5zUAOY3Ev7gHfdaHCIOZtE/K2zmP - ZjHdSCh+XfZUXjw+Ho21coYpkFdU1lqtY8U2k+WhOr2Y4wg5n4Y4u8n652Ox3fmWebzFQQWPrSxi - MTaW0TTQl/tbH5qjMSmnpR4aKN/4CE9rF5fjPRgaOUkpwYuyWHX9V8+idN/0xLDEORq0amfAdPaf - uIvX725ava4GXMpQYubm7ekzy9gd4vqI2fc8cB4NfQb6p/bp0vSGkiqL1Q0sO3EpHKebzhedXYPg - CSXTRrLpxmpOM5SNqw2d2XUfTTVqayQf7gfmCkrnzfn52sIHKS5RkZ973/WRwXqIlHm32zGZw1AC - tMK5yqzzKY/4Fw9BTrwSr0efdLxorrAR5x4T936CbsS24KPlYpiJTTYNnxkvCtTsjQ9JVscAfSCX - baS3rU1s0jh8GFqnRzGVPsyTJsNbT4p+Br6VCEZJ+uxoeLH7P/rKseprMv3wrd3VJd7U2NLHzrvZ - qGAv9PVbTVL9+Lwxcky0dbLv5t/5CPcuZ+5itD2qy5kN3So1CBGE0euKle0jTR5rYoVm4M1CrAZQ - ZxeBCk76RqMFzg2ksn8zxzJuyTQsrnfw11tGrOnZltyY1wDhdWkz/3LTIl5MlyX68gtumhuN6rzf - zUhvioC+pNUdfWBY7aAo5wlPK81Cs6h6LdTH4Y37+Yyi/ucXpvh2wtxWKPrjh8w7v9I5SLcJX3Rq - pfz8sB95C8SK3LTBfzKdblmLvO6zM0awrmfCrKhrvTnWAkMxb9WLOK9hjYbM5uMPr4n79UujZY89 - nKYoY9/zo3dmqi3htHyEXz6Cbqqf0g26Tb9kN2UX6lPNPQNJHzViu1tMkqkufEOuj23P9HaZ8unB - 4xDkxCm//m1bjph5gLhznIntK6beV9cyRNVV27D9F48nW9n2imWSMxWTtIumi2nK6Ov3qKwhtRsr - Lz9Dks0eRdeiL/lU9iIMdZoyN0ViR396MTV3B/xcJ/uS366kQLg1TKZx4ZbMYvt0Qb7bFdnj18w/ - l+VuifTX8Y7X3DK6b/3RP/ip3pdPNNS16oIZEWCm1t08LpmOij6Kvvvhi859/WTDgsc5IxB10aRt - NFvh6jpkHhrenEvn9xXgivZYweIBzYecVJBLhsFUGT31mdUoAItsPsw/Ld/JzBjN5K9/pfzDuN7f - bWwjcVHEVIzrORpq/9lA8WRLvFhMe33EgGXQm7f31VerpNV3mxmmSB2Iq7y1RHybDxfVp76hMJ/8 - jhfbTNqw0ghYXI8vb7qcNhiEvfogptbJ+lCncNw0ZuV++StH7Q9PvviDV9u9pLPPUt6Cu/b2+LWl - 74j+6hUX7E5X8s3Wx1k2JJQkXciscCdwKp5uN8iVZ822Ufvy5jgU7jA8DZGosl15Q5ZlGPT6dqUK - 1fbJKts/MEot32HYMxdRYxWtBJemrohhXJ6o5/mth6PFK6p88kyfLmqbweUzJGy3vofdeF9bOyQY - mYFlRVZ4g+NPAUNurhiuA5lPMG1scMjkUSYoWiTqVbNF4vg5sH1YfX9P3apScFOLn5/Ue9ktDBjy - rUynMZc6vnDcClhoERxszic0DcdZAMHsRIwkUutD0D2XcHkXDdutIo83cp/vkHlJe6YTs+bcX5hn - eSG1B+aJ1sC56We5nM+rCEs4zL3RAu0KwX1/+sNvLTtbAHVYLJmaXnA3u82zBr3EFV3W2dObanVn - IMfCI7M/49Wb2QlCJD0rRrYDqcvZXV1FENfbDSOCEHh8VC4qsDo0CDG7uuMmtZeoTl2fOdWO6WPq - uz7EpXv74mPjzQzSHvyXwIlRPAjinz7MlWFQgDQf5iTc/GwM9OUbslu94nJaXvMlXMoLx3BRsE71 - j35HjRafiJpeaMeKywGAb2VCBe+Yo/qw3TfQLRObDl89N7vKeFa6zcSYtipNtMQGvcvizB3K1Mst - 6Xe3yw6q++FDVNmZOTNF2P74A8fe61NOy7tU/fI45hbeDo3dVbv+yau0i2AkortbBOsvfuKFIX3K - H38r4lidibo5WfqErvUZjo74pCv0mBErdqEAHSjlHz081CrewXLBZppGu8LrO+/mAt/ZAtE/fh19 - /awE7fbMCbFKnFB9NfdKMZz3+Hnxz96k7S5LOI32m2lHvtAnyGcX8rUjkN95o2ES3OHhBBlLadkl - s1hoLcix1jFTPxy9wTl/QlnqLwpd05MY9fj0yoBVrs+sAK91JmFLQl8/h8XlNPAJdE+GKoufRG+f - WjIEN6GAfCX4THcIdHxUHqqsTTbB0rd+ukU9ir88gQqO3yDu66krL3iS0wAxn8/NW8sgicsbvkTK - mvP2PBqyHFxPX30Rd3zC26uymPyBmAhHnEvqJkSP/duh4s3Syok46xyS2+v81Sv7jpuv1Rb0blzQ - 7nZbRuyjKVuEh5gx/BqwPtWUnwF/LIP5p+qiDwM93JHU7XdY8IygG090NUMSSAaxmyT1xnTuvvnk - tmc7cWcj/vMvjEkJOyzHhlMlWN7l1szfxPb7nT7+8peYwYuYGU0jtuCNIbc2TfDGfQ5lvzusK0ju - TcT8izvp7CjbW/TNa+gru7NuGixJRa0veMyKHN+bLoaMQc7CO9vFYlEO2anbgrMj7JsvbX75ZgGO - urb/jBf1ive//ITOdJV3PLmgJZKeNSPGNx/48cWmqihh/sRxt4F7e0PDsNHwdNrmHdXzEqDOsM3M - dPfi07CoXCQY+YJsWZvocy61ZyRsE4uZmbDvZn0qBDiBMNPkehjKnguqoCzE1xHTmvQ6Ty6NDR1C - b2Ju0yaZwya5gv7c9RR996e39ncXnTazgKXufdDFePOQZZGPLtstn0rHzIAGv/XBEj4q5Wug8R2G - 5nWiDCo34v6RiWgKpBXTjqT85gdCBc6+upLIdg98VuJIAKnRQrbvHbOctJBfUdG6MXO+53tMXzmF - bvVcEH9aKsmIMwOgqtGWKrTsojHVix5S5wq4XeRrNNTrcInYrWZEO72GhE0SqiHIgpAY+U7iQx1f - ZXD8/M5cPYy98bffjmGumTatonL+5rmoPrI32++DNR9q/9Oi4LQaMJy2sTcNiyBTjsZr/OVv3rCc - 614W1ANhxlOZ+DRYowoPy62/+PLWabzxfWD3qaCyZusd+1S7HjV7p6J5esGlqK9kCvl6azOiXM/e - mCLPRt/1JbrXRH/8FwSnecbfPAK9Lk7aoHZXlWy30pNuWraWjz4LVyDemooljc9y/sMH+pKijM86 - iUP0WZANwy8v8L79hCXIZe3gEbGeM+mBpT9+qoWt+NW/doDM+FXhMW325RK34Etc22B6NNMkGqtZ - G8FKcp1Zh6JMVjUqakjVzZ14sbmJRvlyOKJU14/E9oclGl5ICKDRkhMum26tD/YZBFS9QWD2fhrR - aDn+7ZcvEuwZY0e/+TZydEFjpj7rSf37P/izdZh1KEN9WOrDiHA1xkxvkJWMeN3doXjJH+bPxlBO - mtJXKE5RQyd+h4jqpBdkM10fib1/6N6PL5D8OF8xzMa+W5tUFSG4SC3NbJA6tnC29Z985scPc+xm - AnzzXCwvcOuNaRCDbEbGjtyE3vcmzU1kYHHB2TZ4LPjnh1/C3rzRBWz9aKyCxx1+ea13PezLOW5M - H5IH2jIi3GdvGmydwkli2z/1w4tKw8CYnBAC2z6Z6rar5aHEFIvrvuBULLQGzPN5Rb55hcd/+/fr - T7h3HSMq6FOh1OGLMVc9r6I+FfkVllxqWOath26Ol5ABy4UrM+9bB/W4IxLgonli3oYPzvwjWyLz - iJWff+d9mmq+chr3BV5889hpeYUCkmy1I/Zn30UDyNVRyvmGEFXiH692ib5TOOEn5t3iVyfqpAf4 - 5d3qvSzQF5+O6Mv3xJS0yXtdiqUL4WX2f3lqOSyvjYi++gA3jYK8lqmxiE5SazHtOD3LIXi/RoBj - l/7R780JvVTQ6zQiqhRuEHUV6Qj5xlXpOjwzj+qkAri83yXTRLPkc6M2qtytuzUVvnzDpTO7gT81 - NsPuXHDmz+cd+GPlU+rpT8QWEAVKt7o5dJQKV+dRrmD07Rcx4wW6zj8l2qJsc4kpXIaUT867Cf/k - Yf7Xz021/2lkRx333/oOuvaX/6ZbiNnRQGnSjTjbQeOrA62+/DjreRDAdDQ+jCywGolhpbcQXkYf - D8Ne69hxNYagjbsIr9Jr1PHjSgoguNs3jMRW7vj0cG4/vfjD53IY7McV4ue2IPs9cTzacKlHSaii - 7/55SS/vbkeIO7oiKsJpyRdvo4DHzmiJxdEYcfOlqBBcFi/m1GTFe5mYBRQdPpFfPv315xRVzzwh - JF+PnBWXVwOCI3aUN6399cvB/ecfifnNU2elpc2PH/H0zccG+BxakLPThRGl2SWzfhlnpXGkFUv3 - 01sfZ+/RIDlIAyp/83++cLIAQt+byZ5d1t4vfwdrP03MMHZbPmTFIADfLlyyjZwVGpaWUmxaHzxy - 4ShIeOL51fq0KjFthXvCp0tpiZBi+u2fnMqIRVsewLcfTB+WNib9LPsydKN3xcu8OaM5D+8Vqh/H - BTl885XhmwcoR3udY3m7p8msxKxFzd6rqODyqZxscwXQLbY5Xk/zp5sCpxTh+/6Pv2kq+Rmib/+T - bXt/k8xMMoVfv5D96bf+8tpv/kqMcnsv52+/GnD+qsg26jgfU6S7v7wQr7n8LLnvNQJ895fOga8n - 4q+efDgmTP/4u2QthZ4AD02U8Rw8HnwIVKkF6yC8mauedt3MHHOLqt6n/6Vflq2FIYi1J9O//WD+ - 6WuMgsTI2DagWjJibm/h79+tgP/8119//a/fDYO6SbPX92LAkE3Dv//7qsC/b+nt38ul+G8m/rmJ - QPtbnv39z39dQvj70zX1Z/jfQ1Nl7/7vf/6S/tw2+Htohtvr/3n8r+9c//mv/wMAAP//AwCkxTP2 - 4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c0bc85bcee4253c-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 01 May 2023 23:25:16 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '1067' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 482e97acc620bbf5e2f7d3dd44145666 - status: - code: 200 - message: OK -version: 1 diff --git a/tests/integration/cassettes/test_memory_management/test_save_memory_trimmed_from_context_window.yaml b/tests/integration/cassettes/test_memory_management/test_save_memory_trimmed_from_context_window.yaml deleted file mode 100644 index 970b806fe3b..00000000000 --- a/tests/integration/cassettes/test_memory_management/test_save_memory_trimmed_from_context_window.yaml +++ /dev/null @@ -1,843 +0,0 @@ -interactions: -- request: - body: '{"input": ["Assistant Reply: { \"thoughts\": { \"text\": Result: - None Human Feedback: Command Result: Important Information. "], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '207' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaW8+6Srfl799PsbJu7TciIjVZd5xEjlUIHrDT6QAqCiJyqAJqZ3/3jv53dnff - eIEkj0/VrDnGb8z6j3/99dffTVbe8uHvf/76+/Xsh7//x/fZNR3Sv//563/+66+//vrrP36f/9+b - tzq7Xa/Pd/F7/ffl8329TX//85fw30/+70v//PX3XQk9tt8IacmL0+aAZtXYYkmRk3i0zh8b5pFi - rLzv0M2o1HUIhpPLtvVdK+e2udog7hYz05U79abP/jiDvFzb9HMyBc7pcmfBlXkJ0Vv87niwkiU4 - sljB4kI/loM4RSoURpsz1eO6N+lmkEMxVCa7P9Ys7oPZj5AyWQMhDrfQQB6Ers7xVmJeLXv8Izjl - E26iPzMzyWyP98HTVF5ayfH4Kp98xAsYAeWwIWatnrJ5EK8YqgWVCZG1jo/vYRChR2nAgtXpbUx7 - bwyVLb+PZJsJy4zp86VBhbH3yfaYXbJpV8Qq7Be7kezyzs9mGaQczmTDSGAeC29azBYFv241gsW8 - j7m4fkYwlVHFvLVUGO0qnhMIzdbCRbQ5Zf0wfQC87Z7RJc+vXT/OU6Gc7oqFY/DWZUM9TwVnf13h - 9TVJ47Gzb7dNhIWQaRtB7vpYtBOIM6nFoF1xN6V+BYi8n0eiHac3mjr5ESmhZlH83jQu7ze8xqhC - 3pO4Ual6DKQ+gfV+ZeJNuhb5TMkiRNdOCZnxzE5ojjenBgYtw8x5OrHXH/RxAXFWplh5+G45Tout - DmtPNIidLFjZbxG2ACo9xhJ6196YNCsdxN3ryez+2Br8GIcmNEWUMHN3XnZzliQiKMa7x+Mabw2q - nHwTmLdoWEDNlk8qoQmUu3NDRzWLvPnOnRQyCgHx8qPCRznYhZKUSFdiBo7H5937LYEh7q7EFgXT - m7faKYFMck50SXWtm6ISQpBjsyFX97nwhnIvNbB5zoxCkEt8ekmujVbCJf1Tn/N9OUkomSKd7DhE - 3TiMJsjyqVWJk5fE43Oo+cru3chk+47Kcl7blxzMMDkx6+IXfDxgM4d4teVE448mG2+F3YC07Y9k - L6t6KbJ7M26uy6Ihunpp0LRUD5HC9ssPcb19iWb/eirQK2lKLN7mCs3f9UG4EHzmvjSz46K4jSBR - wWFXE2TjI702Jlpp0YdsTweW9fXxISpSb77ILSjKbl5bkIOi2SZ9HR9DPNloryo+7CeiOfWqm9hT - T5fFSajYSdPNbLx91q68iS53Ym4Vo5wUT8GgHE4+2e5EF/F3ieFXfwxb+jL+7Qe6zscHIw/3kQ1a - 76RwiCqBLqJg330eGdTwnE4Ncbj8yfhhq1eg6lbCzFoV4748pBGIWeGySHnpxqxrnYDSlvXMX+/X - JTdHhuFRPijTrkZlcMEsIphk3SQnxIxsbj+yC3f/reOxdgHRxVOo5cSYNPZnv7uNGcLBW8dMy9e5 - N3vSB2B/e56Zvz57HQOpSsGqng7D7Zkan6t/fsLFFVOmfXQcN3n3qSB/7Xd4JV9Pxpp/nlg2NvGL - Hr/rzbREakGzsz2xz4mXTdXVdFHa3XxmJxIqJ8uS1d//R9Q2HPm8302t4vs0Ia4nXflILrMIV25p - 9IMXRTcDk5+yD/FE9CllnO2J9YTrEUKSCS8az7c6keF4yrdUejkaEo+HvAdotZjpneZ006JGGLgh - nyjSu8n7ra9c53ZF8OWy4TQrqxMsD/Ibr/Sw5vNLFUz0eFgW0/TikfXO843hDZnF9LW141O38UN0 - /5xLojXHIm6bVWyhzcZeUnGhr0oWZWsVjv11y/RLGGd8UUQLNG5FGUtdzhG7Hh8jpNNOYf5BexvM - LBf9r17oWE5iyTxRPUCqOQcq+Zt9NkjnsoaG70JiNDtm0FUsJyATZ8lU8ci8T3V72Irz0gKmR6bn - cZfjA6hUkJielK+sv8ahiyS9CEh+0N7eVMeqD/tHX7DcOlUdl+6hAOMMHY4bQfG49nrY6Lt/zJEv - RjdLjzmHcFhhRoRsx+dV0UpIafucuf7a9sa8e1SKSw5buhzJEk2fGw4Ryt8fhi+vB5/PSoGVJfYs - gi39Hs9jK0RwiMAk3lNbIRoMmg6Nzs90dcJZPMessZFjRz1z70SKB+IWVKFZw4iDpb6bhW0v/eqJ - WEXieKJFShmtvZwTo9KQ90n9agEf11fxymQPj3/rE+Y4CIiWu9jg76oE5RwLCYkbeW8MO1oUgIoi - Yno0XYzxLvkNIor8YtqjvXnczy8SqOYmJLt6cYtnXSsFVO0hJffTKzb6d6EcYP7AQJKXyNAc9qiW - o6XrMH0cNETvy0lW1KwdiX6uMm80S9cE+gpstm9In7HjHlmoGxYlM0XP7phZihRexzwjfj9fu0nd - GylsjXKHEd2cDL56r0fYHQSdBfml6egt8dK1OhsaUWsX+DQw+4Q+19Qm20Z681G+LEcYL4ZOPCyW - WfMuVgd4yM2NELcQ+Bi84hk2UXYnQVZEcXPWuyccfFxi/j74nAYt0cFf3jdEy5XR+9hWVSnX/lDQ - 8eZF3exfb09UvZcpPurKAY3zi9eQdiaw7WZsjAElyEWiFHWMUP3RDd0WBKjsRCMJe+4QOxhDtVnc - /CuJFlFofKrm3MBT/dyJ/YESTRv2roGvtR0VNPfR/c4vcqqPwsxyMI2RVb0O7OhMxHscdrwXgtYG - KXEUYhXR0eAD5xUapvMaC9JNRr1qQQHn+hOS3ddPTL/+Vu6oRDfx9CxnJwpvymPnXolDD6+YYqs1 - Qbs/Nbbb4iufPtE8y/aj9DGKP694jEU7Re05Sonz1j9GR66fG+TocyYB5FlW3Qq1hVLSJ+LHes6n - 73psvv2L3aqpNXrFME5wCVcZXeqZWDK6Supff6BFUSWch40AcKlm4+c3u24SCxs2SFkztzz2MYtF - RYf5NL4YEY4xYpf12lbOBDHiPMnbG8JK69E5bEP261fUuZYLxfG2FTPXXVKOWygtxdt4Kl1994t2 - 4rP5+QWm3ry5nEmc1vCpX3sWOKgy5tSmB4Ty14cF9YzLyYq2TzSr6ZFoprov5zVqZAT+5sn8hB4N - plgbADXbF3SeihLxxlUK2Y/YheyEVYNGYZlX0O0Cg93UxojXsN4lkOJTxrbN9oU+/f0oopWQpVhW - toPRf1xbgvb0kJnaORYa8tV4g5W5fTDbX25jQVjmNYgVi+n01Td6S4wUZK7tWWx2Yta35UMC7Fod - hfNqgUYnGSmUiWVTJeVmRpdwrJG7jCjD1dR6f/z+7dmlTD9XyJvWfmJBVy4r5ji+0HH/cpegvG1t - Kn79AttvQ105Facz0e2EG93HjwrYqSjF3SoZMz7nGyp7eXonznITd7PixLViUxrj6WpUHrXyQwKr - KYgYeShl3F/33JW/vECnr/7+9gvEvYfw4ls/LBCuEnLssCdGExjGdPaOKZpCKyeutLwYbMs/GO5k - cvFkyEo23iWzhQoVM1ZWp50xW/khRetjmtMuPPFyymcxR6HZWMyhaBnTtb2/wcJstvTIvQ0a64gJ - sI78AyPLweCrRer2P/9F58vpnU3v/oOBtPTKXE9S+Pxc9jny7PWO8jeWeOuufYAyfYzMaZ6bbGRV - pSLJXK6ofHu2cS82hb0Z2fhkd1nrEL/aUwThbkd/fsUYV2nayqupen77idYNxG0oJIIls2C5enhD - t7uIqH56L+afVzc+mEMIimEVJsmrzS6eh0/Vg0Q3129/WHlcjiJJxuVewMq7M7u16lg2vGE8kUB2 - HGO6C1iFHukK2ebqu+sd3/YhXokx0Q/na8ytyzzLS1yccBd/XlmfRmoF3DousBy0rdHrFjPRx8Uq - +fHaMAzd6Y9+kbR7G2yslfaP3uKiO3lN+zRlEG99RIVaFTMmm0ECWE4qdupuijHkSwrwWqYGTSsU - dnytK4L89StYLvS0m8iD9OiwOR2I+6JzOQme+lQe4bGm8vbloTHdJia869T6Lz1TXKmCquIR3iw3 - cTm1gzQij5EzHheHTTYuxeCEzmETMv27v199bNHjWgyUZ4R2zbc+IbxeF3h6jLNBrb0qwbc/EL/z - N9noznuq+J/bhu7yV5LNi8e9ApX5NjlmmhJPZ//rZxQ9JNbL84zZMGwBDQsJM+9IPuU0yjgBZ7fJ - 8VIWAj4UhlRDnPRP/JEvZTnexXeL8LUxWJaiRzmFEPTy5k5O5NufumkzPyo4x3f7x3OcBuLyCev9 - 2mT+LQ2MSeudBD0HTljQ3Cy+0u6JhNwjPRHiqBUffnyNCkcnPz/cB7U0A7bKGCvLz8WYbdMF0Hvi - Md9nLZ8OXiugL6/h2esqNF24J0H3cHssn0+6sVpVj6eSDOcL0wZUZVTFnxmux7dKjEcjoBHl0whL - 7FhEn3cKmtnNm5H66CZi7s73kkfN+wm//rTLtrY3qflNQubndSPOpta68dcf0WWeKLBEy6ZF6lKY - nuiAl6G1MXrUBCESKleit1jlJY3iwIZWlV367hQ75mZqY7gm3P7jrwTHt/GfftHJ20U2xa99KL86 - sWM757BHk3/oW7SpDzuSFO4aNdfw5qJqcW6JecGtMe/ajwTgDCldCYplTI/rpYb5lB2J70HT9S+w - Z8hvskiMcDx0k+9cXFiidocXEruVX162QEObiKVBdfovXm0PVkTsgxd0Y+egGxQnsWJ29HIy/nj6 - ItyXAyfq64r51Jln8c96BlltxeNL7kZ0ZHsFiy9p4w3Y8egfvkZGsvRaqbjegK7qhO3cHee9n3Qh - LLtwTTCCPBvv/eQqoFQdFW67wpu+5xlwjkq2C2tsTJ15F0Am0p3pU1Hy5hqHtvLjqa+/K8fstrHg - y6+YNzvi8bC9gDS0Sv3l9cqbBJAXYF3HhumLaPSolkUR6FHL6QPfu24owocJK5pcqCiKQ8aVbQ7o - 2p8K4ntOXQ4HdysCf+g7hiW76vicHXo5j3JCiCwEiF+o3cLxEiokcHRsTHhHeziJ9M2cpbUvx9d2 - fUJmmJ4YOfZXg9/lW4ic/X3FjOOnLefj4UDRr7/RH08HXaXCXrqpzJrcY8zLRJWU2/26Z66yKL2f - Psrbs3n/w4PC7Wq1m+2wu9P38qBz3gBbwHqxEOgo0VXc9KcOYBlwkcpfvpix9bSg3B0b8tX3jKMr - TUEZpIrF3/PySS6tBJ/NdGE7muvdKrtcc5Bm0SJWeY+QsEqUBkIhuBOKALL2x4dfvSee/lI82gRn - Wz7Uro8Xl9cDMfUcN2irHpaM6I+2Y8kjseH7e9nXX6O+6k8hfPmESsmCdbOVrlMYut5i+LxxOkFq - UooO96Sjs53EHvd8lqKvPpIjWR09LrbTDHM/vbBcHv2sPR43PdK7NWLagle/PCOEQ237NFtOYsYI - iRcQprGIPyfzwL95kgrokj2wcDgK3tOPG1X+5hEYoiNGfXmIQpjuZ4QfsvrsGPWWLVwvdsIMudtl - nXG2MFzcu4tlsbe4wN9hpXS7OsbfftB1YjuN8M1bmC+5AZpT1ziAcpqEP35zbsTRgtHQdaKZnHcf - KscCNBd5R7/+zBtBUGbEBUyo3D4O5eAhr5apNBf4/uXDyjr5Ljw1lbHwVepcyG4bE4y8NAm+JQYX - O7Ft5T7Y+Gwn6DXvjdOlRtuzdWfax9Yz0Ql5/uM33LNlFo/e0vXRfJpfTBflJepfLIxgp3xkhl+V - b8xDp/WQN8L9myacDK4vXRe+eS8J3q+w+/JKpQjvo8rMeSuUvE+jGibf41S2ogsaut1egK3gh3SM - lm32cg6yBd98FJe7RWN8fnmZ9jzJFK2lwuvly3pGfh1NLHjf824mcVTDj7/T3RahYdfRAl2qhBNr - Cj8ZX+V9BNJ8E5mavGhHl5Nuoud7JMz4vJfGZFmz/uN9XH7eS29+rYoC6tdxoD89WX/zN8DiymdY - PEk/v2jD+1Nhsv/YejxbpJPRKZ8XmOfI+uPf0Fe/yI83RUBYRcdPE7DcA7ucpItao0EolxRu6WCM - Yd0dYNuGb/whHe3o2U1mKPjiSAWpwkhYpWmDog40Yi1sp2PBSpZBJvKdKo+l36F31QGMF00nVn/d - Zf18piYkQu4yS4UxY57/TpEyyNU3v3nw1omSm7xrdJc57rbtJsGzn0jdhgUjsjAgqmpTBNg1OypL - UWeMn2P+zTefNVHPUpFNzkE2YSG/KCG8eZXsl6/tUSjRaRUUf/In5DbyjRlNUHrzOiILFN+GJ/GD - Z8/n5KyFymUNHtvSW8fnfl/0yNjsX0w/KZqx+uotfOrFg/iKUfIxyf0n0pdZ/Du/5eA/ri5aHUSN - qBI9ZnMwOPqPf5gu9b3H/RQk+R4pMdOtrcon7Hg92tyDE14+FCMWa6LVEPQLmX55lU/WbaHDdfX4 - YIgyHc14Mz1hfyvOFBRxi9bffgXaxkp/eXg5XPWHuqlXvcKsi9Xz8ZuvozXRPTxf3GVMm+DuguDW - d7JLl4IxDEN5gO95Yv6t0IyVtwMXOlNHxIoei5KmXnOAb35OzC8/D1/9Rs1gEbrM914sLD4HAe1c - +cJ29WIRV6/t+gBpsPTIL7+mXIIDyB/RpihrWMn8FGRkuUFInKYJstE6mS5qVa+lr5w7ZVv4z5uy - fLM73dSwMr5+I1LGPHD/5MnzBSkjSgb6IW4fq0iYXKUCFh02TJ2egzcH4rqQj7o0EB8UwoVjvl+g - 5lKsma+ME591AUXw/f14JZetJwKbn4oQTw1Rv/OSD1YkG4XpXqSif1A7xvCmAeNyAlqoD8ujjVo3 - KBE385en1Yw3CxNQOKVvXM+GlwnaQ36Cpws73ErLi9f/ztuX13HBwEajn9ohZHQR0IXEFmX/2lgj - WDvDZsHyszF6k8kV2JOc47WTvvisemxGfJ2cyVZwTW/lxFcLnoFYE7X/rL2Z3ZsZoki9kMP9AR73 - dEmGItV7upBWc0k39LmAe2saGLpoyPrLWn9C2kQmCUxH8ppfXlPoG2A//8BcoTyBv7xu6Fw1Rrn+ - 5ZPK2TGJ7V00r9dHVVf0WDeIPh0y9Du/MBwWNds6T8NYBezZoN/8CFt2nM1zMZ4UHG57Yk8Iexy1 - Jxm+/p6ch0/RTbI7NNDvt8dvnmWX/WklLxAuO5M5wtCVr2sgPH/zJubvjKj8w5e/+YHbBz4fOzRI - yLnF/Zffq4xKxTVH9EVs5myKoRujyyuBSNtv6NItvmTx9cP68d5hsd/fs/HLm6i/RTn7+ec1w5sW - vvv5Jz8Qg3anwq8eH6b16ubOlDDKnu6JBbzFfP7p93d+hqvicIv5HDoY9jJqiB7sHe+Pn/7qMwuq - aIFo6hUH2I6txLYmexjjRmx8pGbNSKxg9+ymqrs0YDrN6jdfMfqs9SvoA+QzYzPv48mDpoafP8O3 - pcJ59nApfOclzE+Ej8FB1tIfj2B00r1y7kOjV65zP9FZuVPj689k5ayMKju8Yjubn0K4AGSkD2bf - 2nc558r2pJDDKSDubos4v9qbEH3zTKJ2Ts05XYW18u3/vzwYUVGqZbCuc0Ms9CHxWO4eM9Tb8cDw - 2pHjsXP4DR1P1oquY96h/i6yBl5z5ZPd44YzXp5KCYTWkegCUN1NXz5C7rx9M2vL5njce3cJnWMx - IVZA83ICPtm//PpP/Q4uzUwQ3n1IjFiZ42YLnQVjX6cYeq8s+WQkPZCg7pndshdiYXtZyMFlnqmw - O9+733xMth4njWkrLSlHJ5F6UC4K4I9uFRm/M3dEW34diaEnpiGuUSHBd/5K7JcR8Dk59hEs9/2d - 5f2WlUMuZDc4QJEzA1/1uDNn3//l5Rg1deUNVvwskIMuV6KfR8MTv/O8zd47ELbLuz4bFzftpIi3 - o47F7aqOx3E6POXvvIqEr3PK2+SZj3CyUkoC93nz6LQPRDiVxZ0uLpcLGpf6SoIv/9P5ez7nxflh - wdBRi5k3ARv0PlUp1PYiJ1vnWXp85LWtvEl8xHM0Xbyh2woC2r9ZQZVVGHvz2U1GtFwIhHkdf/DB - 3pIa+gZvMcu9dTYt1TyEn17+8qEJK5K7iZ8R+tPfuKfFMvz0fOvkzODtXKnyenkyv37hU/YfV5WV - qKum7zyDGONGPc1IuSyBGTmq0Ri/Zwn2Uq4SbZneuj96uj4aPp3PY+kxK7mOaDhA/csb4vG5yTHo - fZ3he77vYr5V7hSybNyy++l+99jFfPfIyw3CtHfuev2cFpby9+9WwH/+66+//tfvhkHdXG+v78WA - 4TYN//7vqwL/Tq/pvwVB/DcT/9xEoH1a3P7+578uIfz96Zr6M/zvoalu7/7vf/4SlT/XDf4emiF9 - /b/P//X9a//5r/8DAAD//wMAaBDGhuMgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7bf024783c8096de-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Fri, 28 Apr 2023 14:54:47 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '325' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - f59ce3c6f76fb37599125046aec3d2bb - status: - code: 200 - message: OK -- request: - body: '{"input": ["Important Information"], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '100' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaW8+6Srfl799PsbJu7TciCjVZdwjI2SoEj51OR0QREDlWAbWzv3sH/zu7u2+e - RCB5lJo15viNWf/xr7/++ruK8+ej//ufv/7+ZF3/9/+YryX3/v73P3/9z3/99ddff/3H7+//9+Sz - jJ9Jkn3T3+O/m9k3eY5///OX8N9X/u9D//z1N7ldGbNR1kfT59Co6Mw2K/aiVIi5YisGtOPUMVc/ - L9re624DJJoVM7PigS5k25cPVXN7MDsSyvbbeMOAFt0tZSRIHC4+lqELC7w4EyLkQtT7lXUGOVv4 - xP6aWj52jb5AVWAsmZY3H0Sr5pvJ3tn4sEc2Bfm0J7cMHo67IOq27vK+rnMT1MzcMUfRtvqg6h8N - neTdjm3dzTmezPutAtE+a8zpTl0+tXmwQGccXom7e9hxzz/GhBJtFxP7GR/ygdlYle8eUunickmi - US+7DkY/14n9El2PVpWkwUtRLlR+oi8atsc7hr47fYjrGEU+7dKwBOXerPD4dMN4bJMaQ4iMB9mb - m1gf40wI0CpbypSHFxSxaJpMFGYhJkTCu0jAbizA/dgTsn1POGdT4z7lNQ1Vtg9jFQ1ws314R+iM - uTUE8/pkmpwddJPpWvlup6phKZhH+0FcY0v4dE2eMvpe7IxoFwYxvSZnGazE3ODNEK50Zp8WGjpM - tkp2+15DvEpQAXW9jZkG6UYf3ru6QivPD/ellBr5NGy3AuyJR+jXMuS2t95+Awd4Jsw5Xl95Hwbd - E+KbOhDte3t443FRl0jp+RsPxKxaOhYhheubMyqHkhEJweK2kXUVUmYa/a4dJyTL0ETai5DqHSD+ - 3ZtX2DzXIj6v73c+JVluAnMblxk1nWJaDFYJJ1LdmOYPe1R56duACR0CYl2FQqeNaptw2eYRMQPm - eP3tET6gv9CG+dpRi1dppT7A/cCFHCIvb/ssUUxwk8/AtmdZ4s1d+GwA1+Gb7EdRjrg8ltqmzuQD - wevzHo2raAuKAlHI3FAq4u69rBr0FT4dHnl94PxjdqUUjvsvs7SQ5DxwVxu0DvYbgje3jLPLUung - IUU+cfinQM3xbT/lOKlbtr8GKh+Cbz7B5p0hsideFY+Lz2GA18dzsNBFEh9Ph/1Rvt+vI9ubG+SN - py96wuNSMaa3LEV0HW4GWJ7vBXFegeDxvD4WcAl0g+gtU9E0NFEF922ZM+sqGLpw3SkplKtsR0hr - brzWcqJwabx9YNawafVRJ4tSlkf0wTA9gmgKe/cI3mPPiLVqRL1TFqSAOy0NujwsIZqu1DeQpNgx - c8rUb4fruaGwWBFGl1k3oMnU8xT1eBMTs8F2PqRPHKCPVn6Y+0jktutWzhXOn+LK7Msj493KIRNc - hQdnvtMeeZ/trk+IPm+baFKwzId8lYToGB835IyzT9SwvU7RVf4qxDT6Tz6tjyyA62qpsX3XeS23 - nChQxhe2cO+Xb70+HXZH8PNWwZNK3Zhd3UxFn1oumJExveW7zgvRtlXfzPhKYTRsW/sMZ+E90pW1 - 0bjItxlF5095pfLJtHU+7y/42IwRw1/e42F5OjcgnO4ZbSrrHo/nnf6EQBGfeFiIIR9MbROgJk1q - slOrJh8DfnyApDtXKms+4z0JvALlW+dIPC++tUMtpCkI09Wg/C2/9eElr46gYW+PJ2uRtVO0LFXI - /exKM3v34GyuX1gsjQLTy0WJu82zCmCR7XSCfdXzhn5bYPCmbUpX59eej6iRRDAcGfDiIUhtt0mf - A0Juz9m2GpOIBmWVwZCWDtlnuzQfF/ryjnAgIaY9NIcPr+pWwS29Ueb6XEYsV90BZVp+Yq7mE0S1 - 10gRvS8LZjfJSp8KczVA0Dp3grvnLZ5ulWfDnRYG0ZWTnHfiDQAVOpTMO6EmZ4m6TNGvHsz1XUYs - pdCgyNVXmN3Duh2wRAtA7aaiIB0/Oj0HYMPwuK+IJpgD4mW9esDyYZjsmLG8HdtLGkKgr2MMpn5t - xzJ8GMgf6hfzkjDxBmEfYpg/01zBaV7fuF0isxovTE9I4E3L1klhlaUhUW1pp493Kroo4EqNX30U - o+5rtnd4UKDEw+2kj62JTEi8RUB52fke1z/1A71Xpkds32/y7iahAlVFGLJ9/Yh03l6jFH56uniS - UJ/S1beCp4QxFazs6fGuWWOE5PsNL16NO/+eKgD11j/xNymZ3n3y8AHlVz0yw8qe+mSVcIU4aVvi - qcY3pqbeZnK08X22FyWid3EvdZB98I3tGrTJ668f2UjvF1ti9QHmfBHVRyBJoeH+cPX1FV4+j+iz - uZ7I+fY+elz/vgB9CqIxXVvsou7LFAzj6RRieLnHaBTYqP72G/Of1qsdy9r1kYmeMZ7ls6XW8drB - oR5vVHqv4pYdO8mWvH14ZqYXdmioE/kK1/fI6DrnUzusrFsg2zFdz/p11YfTQxvkJn3VFJ1Q0/LI - SQPIHleXaIj6fJA/moEGJ3DwtOdZPqDX1lXCJbsQkrNPTvfkkKIa0RcxxaDTh8RzOoDUd9lW6Ew0 - ruqNAZ0aJMSmuzHm46BfYdtlAzF0/uX9dHyVUrnFBc7rA8/H5CzfwXkqI/Eno8trIiVXpFaEEGsn - t5wNn4uNziE6EsLTZVzb7bBBK0k8UGm01jnjhZNBv9RqvGg76jVHqTeRVxRnZl6OQzRY33UDy1Z/ - 4Y15cVv6tc4VqjhpmWc/cT6cl3EFxeqr4+ztb9rxfbgfkbdmGtk367alk5U3EIXXB934vpsPheqU - yHiahBjudM65p8gYVT6EFJDURZ3TNQCU2Wu2N8ftXE/CHbbSUsZrU0lbdqpoJ5dVllPhK4Vxj89+ - hrZvp6PA1jbns/+BJlW3xAlqJxqWt7cJOC+WeOEqojct1t4d1Bt7/tH7qVdTgM2VdlSe/dv49WMb - 9B62dBLhzbueqU9Y7y2PkfX23Q58cH2lDByF6D0U+a/e0T3fq4wU0rGd0sTTYMdEmTn9K47YLj6b - 8mN/PJD7YyeiuloVsLkl0ZauBTvPh1d1qFB2phVT0UuN+HePr+hCM4E5/GPwLhGiFOonVYjxsr7R - oLdvX7m+jxad3v4mn/tHAGa3aDCkeyeiZbGnyLmKXzzaEfM+psI7cEwnZ9aGJPm0XVwCOPjjmu0l - M+TjSjsOKH6LSwxJ9eZjZd59cBfTB1eWlHjTJU7vSno6XJiviwKf0lxfoHOzj+b9zHReX+QKXbbv - CI+hjdEgHx8bqEVVISTJNI9P6qaBfXgAph/2fitW1agpg15+mUPliI+R0RRyAsaT2fmzjH96qFhv - JtBi7dF41LpPhdh74RKzrd9e9+snd7btiJZ9R31Q77ErF6410PuVFjE/ZZ8JnWRrR1SqFdEwaHsT - tEezoAthLFu+aX0fihRsYteRGfVDkcsg5HKEkS1O0RTTboH4JzwSp7++o2nYOiJszG2Fryx1+MwD - qryVFJnsrsc9GhVNlSH+pm8Ky3fV8gPFE5rvM9WvUNRl24sP6pT3mFlqn3f4vQXw72uKFztbjBls - iAiyaG6ouOwrbzpmIvzhGesyMn3qzHqD1q+BMM31ypiPplSg5pAGLBRhy0U7MGf9ubt4LfcuYuHh - 0iHZ3wlMpc4zoq8gDSAdhoY46/1bH/PmIsA9JypdJvXD49HDA7RNO4Ml9qLg43HxLiEZhy27D1M7 - r8cdg9FvK6I7ytHjr10mgOxVPjvoktUO8/5Avief6JqtRH26GlMA8/rhNM94PK4t20TblBrMmrQb - mkZkC+j9JJyWSFvrU4JIB7MeES0jfTyM4RT+4QkhfrUehRt6gG29C+JH9oD6IqvucBztGp/UoORs - We5UkGvrzFSFL3R68BjIR1H08MB97nWF6abyn/tXb+v14qevULuWRDqeZQl1zDZVGFnL2N5CjHcy - 2vigLaIY97pTIOavxxDiznkQLwkVr4eUPtDiMnyIPrYyZ61Fz2iuJ7wUvKBdCUxSYeYb4kSlEFXF - lWK0l+yImZ/8ko/CzZWlLXljTNd0bMf29aKotY4q274n2vawfpSA3oXHduYKe9PJuN3hoqgfsosP - G0TjiyhCPa4bog+OHXNlCO7KOJ0FukFu3fJFtwcYz+s3HqtGj1Z3KtoAKXbxcB+qeHgv0wp++rmQ - F67O0/NVhZkPiHU/i+10U5mIlkqXE3xwJU4TZHUw+x+m7z9DNLyvuyNcveUCS+v92xu87FLCay3u - mf1WJX2qfWeBYtyF5CUPa94eywH/eItyrXznvEfFXdHFISBmLxb8j16t72bPvMTTvb4BPEFcqiEj - lbPXB93Yb2C9DV7E21dKTNXYvMJrv3KIZ3V5PChYEJGTezs8xHanD4/vZoK5n7AQ0Y53wbedUPHd - hcSr4IGmMepT6TB9KmamNxsNK7HT0MwvONtuJH36UmmBzhfjyw6xgtt0M+oLcKWdPvNTihhlWQaf - w3uBefqq2mFd1BiwHy7xr3/R8JG4SPUZ0HhfJdEYxUGn5N5rZFqSaFFHj2QDi7QUCDa91pv5vkCx - my3p9A01T5z7pVRZwYAX21vqMVs5nEEZHiVxQcB8rK+KLOtrssECWbUx3ZHPFcrjKZj7o5rz/LyR - YfX19sStVDUW0iygytspNsw4NF48rWwjBbeMl1h4ZKq+6hoPUBU/dBYFKxuJx0xcQHnXJuIWV8Ob - uuSq/eGR4RrG3rRb2xTabfUkqu4t9dqd7p1sF28Ty/SocPZGlzvk2dn58VPbVOjYId0LFGbNfqqL - +5EqdkVvVJQ2VTw92V4ABy0jLLyPnjfRfBSVU7m4MYtGeTsZ3fEB5LR/sO1Hs7xBSwFAq6uUPuZ+ - xW3ldoSzkI905X0lnSc0miDvqhLLkbqIG6HgBXwfokGs+ObF44UmIdD87M1+q+SjVOIMITf0qGiS - qz6GkhiC8bkS4pNUaKnfrw2Y9ZfM68+76HJ5wHUnCmy3aTNv+JrtFe2dV0/FXiwQcx8XAYXIfBCr - eupoBKwN6JneVeIYdInYKlphmPsTc78n5lGWbDY/nmZG0mHU5Y+hgdm/MVP5PvP+Xq18+WC7wIyq - 0FvuHdMrcD7tmFWZ6o8PMjk3RZE5XKnayTc+AWgb+8Cs+NZGzVuNFz++xdJoXdpJ1d4DDHrxJVsv - uHtzPWRw7/OECvg+ofGzMky4VOuQWR5r8zrIvgGUvfdk7uxfum1rH2HWbzyd9w4SnuY6AB2kO2nZ - vfFYQqMBdpva+cOn/CtnFeTZ0cErmMAbGssPkb32XdwImo6GsxRSCBThySKzR3ldq7dA5hIizFPq - MZ5A359hcZk+7Od/uvNheYePVnyocH+I8fy+RaRt3MPMRx+PTY32BMsIG+I3Wq1zVtcF/NZHlvyp - ZU8vn2BnZwhPy7PjibW/BVQ+/R3ZSuKprV/UuUJ9NzWirraR1/OPP6BfHrXzvpLHn5KqobBEzpy3 - xREdkS2i84YZdPxolj7u9VRUbk2YU7ToSm9wlav9y6+Yx+6NzkC8HaHSrYR23+Sds09ypzAs9JA2 - J7PSR8tONXhmpzWun+YuHtTRCeDZ4Y4RxLt8+L3v1fO8+NWP3rBkIwNnxci0tR7zYWdLGFL/ZTPC - Rkfng2gclc+JHX5+PG+QmGVKW3B31vMgHl/JA8OSX01GQInbMamfBvQC9an02R29YTHtO/SrD4YD - 0xuwVJZAklLDq8Vmlw8ftDTATVwbr+tqatvK2j/hdnieyH4NOeLSavNQ5u9P22ql8dk/iIrImi2Z - 81jeXy7MhmMt1n/8MLfu9hMu99ObSqHx5vyzWp7Rn3obxE00ys7rgcwOGmZMqRJToeAlzPxOl0Zs - xqu9Xglw4+aEJzk6RjRPWhnoUbgztZxaTuNd7KJfPnj5xpjzilaDfJXdEx6er2fLr0G2gPxVG8x4 - 1HedG68qQ3O+wfZe7utsznfQzL/M3Qq+PnT70gRnJTjMCY0tGossvUK/VGumjo3aTrOeIxdXlz96 - 9nu/cmryEiN2d/X1S1AKFAuZzozVsEIcRfYTwtfXIW7mqfHgpbUJb7Q/EUtR8pifvXUDki3IVNlS - P5aukpPCz496hXtAvCmSK/z0wi0Giw9OlwEcNgeXWUlJ9EkdIQXxEsWM7D4rb/b7GHnKtSCE3I9o - 2rziTPrlu1a4nPO7c9P9yRdMk2w8pmhgAz5/E2aYapvToEwzFBurhM37PRrO1SeVnsampxs1a9Dg - KoEL+en8xYvPq8mHOpmuyp4/RzbnLy3DxtEA7AdLpr+EdcS7ZukjZJQ1Md/COxqtcRTQuiqedPFe - 02hkt3UlN3jlUUrBbMtHVahgN7giZv/cesLsH1G7fmKmwqHNR9tICtSk2nb+fnL8vXxvBhikfLKZ - j1H3W785r6Sw6ireA3YH6ee3z8KKt1xcY/PHl2wH00MfJP3bIWNJO2Y+o6XXB8aWQi4qBtlTq/DG - OLRMAH4U8UCdRdxvnccEiQcBe34sk08yIRg+rDTpMn5co6EfREAG36h0uHpvj4XVToT5M9tZm+yX - dzUgJa8VnlhXx9ORdzbMfoGYsPP1OX8Mf3nIH32lP17xtlKIr29V8liirlPwQc3J67B8xMNhuqpw - uj4rPG5iRR82a0NGO219w4PSFfog3oQFyk1BJPsvITHHJyeA2Z/RrlgK8bRITwHsk1bFt9CL+QrS - 8oEKp7Lx5bX95tw7VncpfH0ctrWc1BPn+lB+ftDbvLR8/eONHx9aO9lDnX4X1D952dZfpPr4zkUN - YJ/vmKHHhjfUQpWhJcMTMXgeeoMA3QIam27xuhC/7Zw/qvBw7AUzlp9VO/7y9tl/4XSJxfaXl8BH - 3JjsNb/vds+pgHJkX8iuoCuPXpPnBhG09Sma+0198z4hfC9uRox4jdH67fsNgKRdiSO6fjwx8ZT9 - /B1u2d31KH4rGH58uqVrE/HooS8A27uObDdHXec381JCsUQpXTyEW56el3ED54v5ZWQZV3wYfemI - JlX4ULR/5zFr2baBaeWaDHdPKR77/XGD6p3MmNdOez7MeTpKcrbB1zoqo498NxpIxYdPwuW59qbf - PISJnx1RM1VFYvn0B/C2KGT6ejTi8WHu8M8fUtgcgmhM6rMB67VBmOebDRqQHWvQd5cPXlpq3xY7 - LNuArcbA35Nv8U7ajhjCkXz3Y9XkcbNIkwAitvqQbfxxOd3Y/V2+YR5gYdaDPD1f5/V878g+uZN8 - Yi92R7Mek33Xta3wke0CurcsU6nqh5gvU9+UdHTz8E1gEZ8MZVsBeZkHvMRBqU/T8zAphb4oiZdf - zXy6uNxHRSgtmeVPaVvN8zY49bt8zm/vfDq69+PPz/+ZH7GZn8EZK5GOikm9eptqG8iMbUGXPH3F - /aotS1iQ24LC4sn59FpyDVxjzBieWuBjJ0su2Jpcs5+/44cuCJSZj8g8r2rpiFRRnvMndpFPX53R - 5+oM83yGuYyd417r+gZNqvghhlB+9cnv1AIZq/Wa4PboRvzS3zVY7ssTs1bNWW8gmjKQR+lDLNti - +Z/5BGflyHb8tPyT78MCw5kO3ZLk5W0xBsrn1B+IaomDN5DHOoWX7XyxpIPQsrm/ovG8etPJOJd5 - 1e2pCdMAnC610yMf7vn+AY9H1ODpkG3mPHIwlHVcwG//6axf5U9l5kc8Zd/Df+UJzlX4Mlcm32h8 - UeeOnoS4mC+GyBO3LSpg3LwWtFfGnI9NnrkQ8HRL/PvViadyV9lgriObbKPcigRfl1UQ7aNGdqja - 6/1vXvCM7s953lujztSGUDGu154d9knC26/w7v7kkzMPRTMPCiAZ9Zfs/fLtDfHFK9C1rQqizvwy - 0qvjgqYd3wTjTxiPhz7O0C2NKW1+vCMTywc/rxX2mz90Uqtryno955XDouEUDXUJ5JVLlItnDw3u - CUQUOcWe4Xl/T2GvnZHqh3/y1qjs1QqUMvAUKvcu8djv+87+gWCHW9GUrlgjK8H5Suf5V8yPu5MI - VmJssKQ4yKPe+3FEqtirDL9CEwnrPTLR1rkbVFk9xXyQdEZRHolXzKWFrQvCPvShacX+N++Ixpf/ - 1UCBQ8hILi7z7rlTB3mJtwqz1jvajl10EgAHz4j8eORPnrclOaZLt6p5mSf5RgaiH3Gd0G0+zjyA - +mZ1xlKEh3zgjROCWfEL2w9HC63G0axgKFlEIcidfHTIVoS/f6cC/vNff/31v34nDMoqeX7mgwH9 - c+z//d9HBf59T+7/FgTx30z8cxKBdvf0+fc//3UI4e+6rcq6/999VTy/3d///CX+OW3wd1/198// - c/lf8//6z3/9HwAAAP//AwBim/ij4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7bf0247aaeea96de-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Fri, 28 Apr 2023 14:54:47 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '63' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 974557ca996688f2b7e568f6d601ad88 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Assistant Reply: { \"thoughts\": { \"text\": \"thoughts\", \"reasoning\": - \"reasoning\", \"plan\": \"plan\", \"criticism\": \"criticism\", \"speak\": - \"speak\" }, \"command\": { \"name\": \"google\", \"args\": - { \"query\": \"google_query\" } } } Result: None Human - Feedback:Command Result: Important Information."], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '483' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6WxOyurbl+/4Vq9YrvUtEJWG9IfeLJihesKurCxC5iSCQBHLq/Pcu/E6d7n7x - AfFCMuaYY4yZ//jXX3/93SZVlo5///PX3+9yGP/+H8u1ZzzGf//z1//8119//fXXf/xe/787sybJ - ns/yk/9u/71Zfp7Z9Pc/f4n/feX/3vTPX3/fopdD0flZVNPUPC8yT+sT3gt8pY/uh6XKIzl8CTzP - 74Rhggh4m3hNHTU6VhN7kC18XyqDotgb+zmfIhk+DKen3kq1uXg3HwJceS8R25JtA15/gkgZ7UnA - TptGFXfomsGpRFfq7XDr94G9VxVzjTbUY1RLlu+XQXJ53LE261NCuyg4w6QiDZHiXKrKTRMg+KJl - RuBWrkPyiQQGU2j55ASHhnM1HnIomOyK/UP46VlvDDGM50TFfqDyiqUNOyuv9Lahhye6hzPnWQTX - 0DngC2N2zxHqDMiu8I6RNGxBvy4uKRxflxRn7lr0yfd0G6D9kXSMwuTT8yG7s13IOgHbO5FzPiY1 - gUPXrSiGmtF3X3RSYWolBLEi6qohbVigrDwhJErOdX924KlWtIgcqepU34SIL3sLt1W6RYA/hpBd - XlYN7qJ2JXxb0rAtJOBAr1hv0EbURZ88Qa3CO68k7Hjw40+nMUeKEphbspncgg9QLSM4xqs3Vldq - 2Q+N4auwuBY11W3fqDYwfjLZQOOZ7vX+0k8nZT9AZH0YdYzjPpl1ZEiwdpQNUjYbLZwf5gZBr0EE - yXfb1ScRHBFEb4QQUJTGZ6etZ0E8ZQeq7nDJSSh3AVTF3UR1cQQ9f/Rghrt9s8HqIbgl3dGzIazi - zZaqvQjC6fM+11AAnUH9G90l8yRLGdRbsSJSo0nhDx874yTL2DtEVcjelmDJT1utcDaLec/ZfmvA - q9po1EykIZnDzhRhfMgDnJovE4xm6NTQEsIj+azevJpv+HSAard6oM333erTls0GWGnUwK7DN9W4 - G0wLNifhjI3tM+x5FRdQcTV5Qq0ajRV7R48cesn5RtYAv8NJj9sWyhZbY0MqPsm8CzADv/U/lPtJ - 58q9HGQeHWO0RpHaSyvCNeW9eiUYqXcnmd9lxIAZrwKkMA2B6f18OHA9SAoBtI56LhFPlsVTOC37 - U4SDaHcGkG+WgS1SQp9kzrlUhq5fYZWlnc+d/BLAfZhjanrVwOe5oRA+SHTCqLmvknnclNqqt8SC - PrEE+Dhf1Bk2gD6wE+GGz1BKLEj6JsbHfez5bGUypnjl7Ua9ZwX0Sex7AhJpeyTysy8BewRWBpUU - vwhJd2FPuDHJ8Ni+Juyvdmd/krtYkyV7ulJNqO468UPYwMo4R3SfayEgD3vnycA/a9R7H7Vqs5dg - Bm/9l1L9/IbVpE4lgsVoaTjQFKlqjuMjg7f0nqMdqu/JFL/cFFTxekujyH75v/oGIJ4q6th2mHDz - +4kg/OgFKRa804MxEvg9zh49qmmt840Xy2B0zk9qW49rwkmbOFAJ6js2d/6pkqxSJNAs9YAoJ6r3 - kzp9EVhfZwGrRdT1k51oGiw0KaWOcDcr8aoEKVzwgrVCf3N2TcNSMYm3wQi1Rz6JwERwT9071a/p - N6GMpY2MOqPBL1xs9bFwijOM5Rbj+4m1nKNMa2C9P9rk/TG3Pnt9DwN0b1ZEfXx89Pw5PD14LjSb - yDa79mx3r6Bsf0Qd8chnCZ3dqYSZc3FJMSeFzp6lHgAxkjC1nncjHGCgy5CBtUXtjXnkE1lFIjSb - yMbJBuX6JB7aARhXfiav/vjWp1XHY8ir9kQtfPLAdNzwmyy9wQXJFLbJYH0DWV7qjXqm2PXvfDgF - UIZ9jTjTuoocTm4OdkOFyMZ4dsngzucblDo+4MN12FSD7YYQipvvih78wOxJJq1UmCm5TdXhc03m - /KWk8NrnD2qiSK1Y9Vx9wRoRAXt3u/PnPAgh9ByLUkshVTIJxz6TrbI1sakIfcIOm5xAaY0qatw8 - J2HnS2wASyqf1Oi9kPPrVhXhFHfSgvfE5/k1rJXUehBqrjOz38jn9Ca3uxWhe20kFWvRqoRSLECs - CyHWqcwfZ+iO3p2sG/us98q9JPC7YgVF/u7DZ8N/zMBxpZii4/fDl342w+YxaljXbwFgZeh7snLJ - KMY38wQ2xf5ogU14KxEzh7QfLRqVcH1lAjZipfQndJPiHx4w/kSnkHu7yVHgtNphu2GXZFY/6gVe - lCimzjXPOVvpkgh2R5LRvQwswPZP14Af/J6wrl7uOnNuWgzkx0vBfgfUipw0N4LwYLvYzldiz/N6 - bUH3ARn1TXoE8+68J4pyjCk2Nd32e+IGDsw3jzeNEncLSK7OKRDM+UpxbyrJV+G5BovhXWEru36T - WX1bMTQPTo5NfT/qfE4tA0p3o6aHVef5ZK8HN3jt9zLe36ioT+uWfeGzEABGluPobGKrA6wvMcH7 - 9GqD4RX3B3BzvxE+HmXK5yGJLVlzYwEfsVD1VC4UCU6NMWLrLEh85CwgCtiCErvtgVWt8662CkPy - HW220hGw2yNP4b19Z+RtstDnJWEZHJPMoOb82XDii1MOtnPYkt0pVMJB6FoGX5K9wobmlLwvj6AE - 76AdcLgtcULWaSrCQGq93//3OV3vG8iFuqX7jvOeDF/ewMIaRGp06APGBDxi+MkOGGuf2e8JausU - quQWYLyJJT6sdEEEXzMH+IilBLBG7FKoSdIB47TzK/4ZX7J8bJ8T3UvOUZ/XIzsr95paGEXWA/Dp - UNfwZGYyVY8oDbnnngcZefCD1dqmVafvqhaEN2Ri119PITkmkgZHVUfY2vf3ZNA+6xo4JtTwq6qU - P3gBjzL40iDuqorI2daD/WnekTk7RDrHj2sDz+28IcL+SkJO7NsBiunwodqqqwFd9AJY+IKsiHzS - 6VtcCZAe64nMq67m/VWytsr3yDycLHphoNtXAOyAGdT8mJE+m1Y9K5aRW/R4j5Jq4UNBeU6Bt/QD - Ho5XJrYQN/qVwPbtcdFD3xvklTuTebN6huyqRCmkFVSp8RxafT6dShk8DK/HnpRrfp9LQQmOg9hS - zXicQbeK7hDGssvQSrXVZD3Z8Q1UzZliJznlPW9ldIH6cevTxM+PlfTZgQFe4l1NUZ2EIa3iQgC9 - 9vwifo9uIV+d1wN0+LukjisUPnXy9AzyTfJGz12rhRsv+Zwh/5QddS3jVJEvbRtwFY4Fja/6OpkN - /8RgkcOEquWN9ryYqhKa9tSRKcovPquemy/YyuWGuhp+Av7a6Q0kJj5QdKhjn0MQE3AKkvOfz7M5 - K1vF3mdrJFbtxR/vMtOU7bFxkLD4iW9OMwi6NKsRsPsdmL5wXYI6KG/YfzQfn83K+6vUczki/s4o - 6OazJcK7NlBq4Ab1FMZXBndPvCK7avAq3s/NGQYX94JE1DoVHQ86gnorVWitKrtw8gwnBZMInngv - tGdAUeY10E6TA2EGkXpuRbEE1fLQIUF/lDqtvnomE9euETDpkfO19kiBgI4SNaIdCZlyDCQ4Cv6B - VGveJQufDUr9MSVq80DW5wM75NB9v3dk/epVf1P5TgYPfaVR1RxgNY1zGUH3jFTyDty8mstdfIEn - 93omKVKmnt22fQZKH+3JdtFXvVa+BTB8nYyej6smIQLeavBPP86uXjgDr/hC13dU+uPb8Zq1FsRM - GSl6rorkexxPKWisKqF+EYZ6W9HEgJ8zf2C0PC/fWzcV5quviPXvye03fcAOskbnA6psHQL+rQz2 - 01dYj7Ghc7ZnhrL0M7wvnKKnWfc1YBz5D4zI3uK8liYZuhZ3yXolbxKiWnoEvcm3iLTxumoQdt4Z - yKh4Yzu9lH1XWp8bXNYXY30/h81aOTEQnqsV9fy3m7CWwgyGxRrhoxYFPqnfvgiFDRvoLclg9X1d - VajYwWwgmB2UhFy1coaege5k3uzvCdOvnQrXloCwxa9rPudTICvZ95KjMeiuYMr0eAupOzywfau0 - iknnaw1HmwuLf+l0XpJtKluqi7HabWky3Qa73Sr0YVGNXvqEi+tSgEUtcuq/HQu0YeGUMKmGhh4K - 3dene3epYXnzHti5ZRYQv+4pVqbGGolSwHVS39csUqrkcscnMxWr+Tg+Ujjf43B5XqYv+BTBhMeM - rJ3XQ59zeoNQf1QXtE1Oas/w6uvB8+PVEvDMViEr3i8ChgJgqn7cLuS1laSy3PID9jZZ69Ov4c7A - V7MrPSq5XI07QBoonk4T9fvNoZrCyzAAKNg5PeZc1zfppDkQIWmF1lc5D6crg1+QEbTFqBiO4eB/ - 5zO8CoOK789zW01FpLGfHqUvTR9ClkonBuWnJJLVTGvA3NMzgsAPNDQnZ5NvhlH1lMva9ala27if - b8U4w5dwRxhd0L6X/HlVA/O9a7G+y9fJbOf7r3w9AICNXfKouAtrBMPYelJPUxJAgEMH8A6+w8/v - 6iTqOwd2VVkTZR9//blB3hl0fXghEzJKfURrJ4DgBnwiJsDRx/M2HaBFFIEiDxSgrZNDA/eVzjC+ - 2j5Y+9ktg6e03KGJ3ceEX5sxAj2fAuqxj9yzraeUYNH/2L9OPBykYmWAvhZybNpiwydDlFoIJmem - etFBfXxePxl8SeYK+9tV7lN19ylhaW08/OO7yQsLAQqrIqWaH+Qhf+ttJL+PT4NmdcLDrjWuLZS3 - VoL3F+74U1R/Gnh+Si/qnkIlIdnnWcLr3DywRm5myNMi/8Ky4CX2x/ZQzcXQbyEP0i8+2n7Haez4 - M4Ty0aHGuioSlsR7SdH2X0Td3SvQKUKFofz46YteST9rdD8r7vuzI1BvMp+l0mOG2zTe0r0VxxWr - /d6Ac7MTqd19Sp+VetEqb34XqRraFZ+f/rGBw9qQ8D7UHH/hx/inf5d6aQBrg10GR8E9/MmP6PMY - e5BI+Uz44vfyzctQ4Qd/JrLkJ/1M2R4CdR0Fv/WrJrR2znCpL6qNwaYf7N0cw0uZ6Wi3ewX+FJyC - M2wQ+yJZUxI+tbOrwsW/UJfv0pD89OAFKweyWfKb2V4ZX7Dw4+In8op9wroEBtycSOevp4QDUgfw - tK9LqhaRWzEY+FvI0PZOnyda9VMVPmdwRlWAJNq6YP20TAFKxKko3ptW8k2FlwX53k/QuoNvTsHL - Y3CXJx8EorbwGWbqF4p7FuDjwh+0e68kqCZOR7PFH9DKRTl8m+RC91apJZLjAwdepWzCtv7FiYhX - XwfGezPG1Pk0/vAgwUVxt1OOzZ9eDbMKwuzu7LAty/uKH9aGB8LCe1L19XH7GblFCpf+SJ01jXzy - MFcHeHkFCdmF98mfrmqG/uh999D6yXrlbSOwZtobbR/HAYys125Qr6GPo6P0SHiIvQyGt4NJ1be5 - rsgNPw5gdZV7ii2p8VnQJy1Q3PJOVoPw9kdlSjLgPIcZ+3TIQ17sTQNOZ2CRpf/3w7e9xPB2LBlp - 9fiTzAA4Bvwo6mrJD8uEb+/uDdqCrJFNFqCKb7qrDFfaaGBLp76+IRuxVcJzsSJzzU5g0eslgNKF - Ud3WU8DKcmjBJXTEBY8fzk5t3gBzZ2P882stuxWHH38TLo5JP2fSSgMfBiIEPe8O6OG298BJmnMC - +09djY8ClnCvXlp6cdeIr6P6U//05sLXjr7x3DOB7pbnJFj0Qz8pvgZ+eaDdFmLCrY94UWjAHtiL - tq4+tcazBbt6zqjx2FySce2RGTBtZtRY+I1rM07Bc6fJSIi9Y8Wcdy/DpX6R/D5qPTtfzobyW8/5 - TTacdclbgB7evAgrb7iiJWEpzMhhS8JtSZORZKEMxWcSoQ/Y2n2VFnkLzVgJ6GEKIKCwW523Gyf2 - fn7Cn9/B+gYvShxjx9Vf/XSXmQqgmu2xO6y+Cdsn2IPkgyuqM83tZydJ/2v/+cOVwkV/WErIeoFc - jXn02TYNINxevg6CU1RXk7wFOXgFOCDi4qemqClyeAR9hC3adqDwwk6A+BsfsHk2h55stgMDzenF - MarY3herIDDgq28tmsnFoVry7QHUqZtR20OdPifqyVA0ehoJS98YTMP6mQGLrAR0nboTEPW3V+6e - O1XG6g5rnMBm10Dn+qqoeTYPPVj6Mdwk5hmbxjzqTUKUGrKrcEfwzvpkxNpHhhGCA6lNbe0Pevgx - 4LGFAdWliSZTs/l4MBqnlCIlOFd9/EEzIJcyIehdFPq8P+9EyE6fHCORDWDG710E05P4xv5bfenf - X5658DkR7Z1WLev7BdZF/1DD2bSAd5vkDIon41hzD0PFSTS1ytKPiOhsWj5/ImkGwcW/0IPeCDqf - xiJXyt1Fxd7FxOG08li8e1XRhp7bpwLI5TYFUEubN9aDzEho+bxqsO6zkShouwaMNRqBi/6nP7wv - eaMKNcoOCBQh19n67jVQSY8vNITgXv34E17lq4s976Mns7nREfzVozU0gS9mQnIAPz1gy/ODj5E5 - NPIzs0oyPZqCT6SwIOi3no3y/Aw4rT9BrAD7Df/U2+K/blsihCWiggs5D7NegCczlbHpvhveCccq - hc5GeGC8+DeedaUFsyZzyIL/amMIyhZsmtz95U096y/m9sc32MfXIpzNmxXALmoOhOAm5Fy8EA1Y - nyNa8Ff47PZoU6Aaxhcb4LLXf35febxsjYjNa883lYtKeAtIROZKufNf3gTAbefjfbPbJ5K9OrRQ - aJ9P6q92s88jQkR5yQvw8R6BaoLnIIP4EByxrRQvPgHzq0Hqkgda3/W5X28upacseTJ2dvViR+s4 - Anh9qbEZiXNPkXKsf/MOsi15Hs6K7jagTTyBVBAn4ThqPpRHIzKJuORl618e4e2iKwFLvstPpm1A - 4po1mvevvGdsPRx+9T72XrwCVMqKCJYjcKn2RLM+7tK+hukTHn75lT7fM5lAK6lNjM+RCUTMnC8M - +mOI1den63nQHLRfP8JPciI//MdgiDcYrQwlq9jZ2DZQ2Z8cNP346LtXEOzcs4I9MSXhSFaBBC5f - xKl/2+x1vpGnG7gGZkXNtLNC8XZv8p+/wE5kr/xh28sZlAstxX7t5aD9uo8Ymm/QUj22YciNobvJ - y/NgVZEvYH7nmQRHIzaxdcAnf7qcpi/45W+4jP2EqS/owB24CtQ+grXfit3dAc6o7ukyvwIUf3ca - XPQD1cV1Fc7+O9LgE/GQ7Epi9O/Uk6FsPLov2XkbPxlfwijJhgVLmmrt1v+jhy93/UAWfusnn+5k - uBeyBu/v6z1YL3iQf/m0q2EF8LRov9A5fXw0XMip3wj65QB3/IPQz9/x80nJ5R9fRsFo6zzEWgbt - z70m4rJf7G1JFqw/toRdcbglE0FyDJEnfOiiRxPuufEA3+CjU5X0nc5uzlEFnJ4e2JjI2LPEIRE0 - toGz5CmlTw77XFV0UPXUaF4Fnwxp28C2sW8Ur7Mvnw33LsFfvnPrNl99qsTzAOzPtcY6vFf6/KrL - VFnyanr81hqXztnppqDMQfSy9Asaf6wZtmGE/sz/eHx/n5W2RALWssNWn9nhAQFODAUJs5hXjN0K - pHi7+EqPxiVNxtXuIsMXzTMkZus4XPqTAIVnZaJ5MvtwEgaSysVoaPiw8P3PH8BcEHTsxP4ZzOte - uoFJcQZqvB/in3xFLnc3lTqfTqhm81MMP/7A2Pk0+h9/u/Q/spXGTG8Pm/bPfA6j74H7LdCfGSw1 - YUYf67EOJ+MKWji/fJ2i5v5KFjyKwK/8J5mcsEx++wUWvqUH+GHh3IVRC08SywkQwMFn1WtqYNKe - KD7KTRvyylfTP/MziyVLPOCPX+iIxp5Gy/xrWPIjeNnlGtUuyTYca/oeYHTTBvQVtAIsec0ByJr8 - xD+8MamaNFCez3uKHodPz9GBer/8Eu1OyVuf78qaAHHTrvAprm1Oln6m7JPzCmOAvWpCdirDjb3r - qbbot0XfB7DP3x3VJrNPFr5BP71O/Vp76AR09Re2hxvCep13YB5cqVWM2HOxpykADPpby8GSj5Lx - KFPQGaLQ/vILROvbvR9Xu1SG7/39iarFn/LAdlWIDU2gP30+uRYo5fal38gUqCScwNUv5V0gW9Sp - 6zxc+t8AHFPQsJnf5nAUSB4rzOoc6l68Xh/HSpWhDARO7cndg01EGhGyUbthLQeZz1dq58GVSBOy - zFNC+tuPxf+h0yOTdfYaNjNcdcYZe1tXDtn+ubeUhhknetklu/4rnvILNA9eTo3mLvvvG9k3yt+/ - UwH/+a+//vpfvxMGTfvM3svBgDGbxn//91GBf8fP+N+iKP2bSn9OIpAhzrO///mvQwh/d33bdOP/ - Hts6+wx///OXIv85bvD32I7x+/+9/q/l1/7zX/8HAAD//wMAPe/DkOMgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7bfdedf56918cfbc-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 30 Apr 2023 07:04:15 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '25' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - f2850337441001a8e5bd70bacb4dede8 - status: - code: 200 - message: OK -- request: - body: '{"input": [[72803, 18321, 25, 314, 257, 330, 61665, 82, 794, 314, 260, - 330, 1342, 794, 330, 61665, 82, 498, 260, 330, 20489, 287, 794, 330, 20489, - 287, 498, 260, 330, 10609, 794, 330, 10609, 498, 260, 330, 38096, 42914, 794, - 330, 38096, 42914, 498, 260, 330, 82, 23635, 794, 330, 82, 23635, 1, 257, 2529, - 257, 330, 5749, 794, 314, 260, 330, 609, 794, 330, 17943, 498, 260, 330, 2164, - 794, 314, 1835, 330, 1663, 794, 330, 17943, 5857, 1, 260, 335, 257, 335, 335, - 5832, 25, 2290, 11344, 37957, 25, 4153, 5832, 25, 44921, 8245, 13]], "model": - "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '594' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaWw+6SrPm799PsbJunTcCKl2sO04iB+1G8ICTyQQ8cFDOdAO9s7/7RP87e2Zu - TMQOkqLqqad+3f/xr7/++rtOiud9+Pufv/7+5P3w9//4XnvEQ/z3P3/9z3/99ddff/3H7/P/W/ks - k+fjkVfpb/nvx7x6PKe///lL+O8r/3fRP3/93fe7HdujKCtm9AaQH459JDpOlmEvSuldKTb3hq4y - 9EnGJcUlek0rkR107xBO5h6vIbBDk1n1aujmt2ovYMrrgXkvfcdXzeomQ4hDgdhOt+um6pZGCuyU - BTm4LOLjeNqO0M6XM9NKpUS1p2aqIhT5ihmvte7xp7SQ0USOV6KdmykZykC9QPFsK8rTi1583uWI - IYufKZUDUnBa3+gI0C5KeuJSyadFvr9D5/lnYsJcdZNT9xfwK2lJto7AQ74U/UDBMV0xw3hdjTkX - cAR4Ye5J9H1eHj9uJjzR/UoscbNJmsPSTCH11ndyDkaOaOmWNXzeF4PYRK66sehif8NOtwXBgsL5 - rJ2EFqARl8yL37uumc4pwFHiI15eu9ZgXqX6iolpSJUjNbxJuWlvRTeeB7aPk84bLuJOAC4JAt5U - 6z6cpEAS0DdeVOldxrvD6NmQdQcZi6el4A2rSDAh9D2JeOGq8qZvfJTQd6RvvPJiiN5zBLp+Lcnh - qhQevTAXQADxzXaX0SxWIjxOco6OAdur3tmbPEmrf8/LrMtG83i/E2Q4GZs1/sV/ctqdC6VVThiN - smNMt/KBoXZjDy/cdenNu7XsgmjJe+Ys7LwYVsjxoRs2IztICkrmzyeZAWvziliefEHNFao1nM58 - w1yao2I+yPkdAu2wZYew2ySj40tPGEVoKdxHqZjmh6bLZBfLxN2ZhTHKPr7IaOEX5F4c02QcPmsV - PsFTZ2SZ9Al3F+IITSv45JpgEw1NXaewyQqH1hHwYjx0kwmLsoqx6Cm1MQPOffRslgYxcLvibPqI - LrTbNiD2ywu7WdpPoNykmeNGDIZwPEebFDovOFN5Mj7FuG6iGmK7Foh3saqEj6/lGiXX6kN2NZ2M - 0SFhLU9IiTE3QrUTptjQlfmxSggeb3Yyyqd6RPmu8PFY7XE3V/PGBH1VAlX0Y9RN92tbyuvja2JO - TzPObueNikoLm8Q2kdIx9aM/FefxWpLt1a7RJHtvH6Rn5DMj1Hs+L24Eft9/9Z7M67WuL+kFMnYt - d4jT7ODP8LGTmJiNUxZzFCcWbF5BTDxFcrppWKq9Yjb5me18IvNJdNAC1SsTU4k/8+7P+3KV4kpr - MTt7rAkzGQK7m8gObY7dfJDbpzy+Hxfm0C4y+vjUl/BEzyvDghIiSsF5yp8u1r/5oxerTwxPWDoL - xrAtQjGdcYBhf8A6uSTbVVF+18N+Yi8sBdU1mZnRvNGAtDWLCvbyJvZZRCjZDu8/95/5uTpBPRgl - /ZS3E+rH02EG7F5cZhru2+CW20poI1t3RiJyRuO8TWx4ClFEtGR9DFft/T1DjitCuYSNbl6vXR1J - Y7v8xqfppmOS65DqiztzJ2NbSImX3mFfxxPRjtsP5+G5yBVto6+J+vSxwQVBDGCKDhHbNmrr0fm0 - z2VooSSX+rUu2MPXAiDtSEj01hqDa/acQ3o/OjS1n+uEt/d+hMCZI6amn1s3730Fwz5dbOlGf5w7 - blznWt4f9joWHIWhwa60HNTW3NEmKzJj+jBuIpGXhBmATIPdrqEEa0G0mCVybPBzYQvAy/uO3IIo - DUe42wISbCrSoxt9wnHT8icYxTpgztZ00Swk71KG2yvAqD3UHXMi1ZXp9nVgum0J3mfrZ3/ij5cu - a4r+ajo1OlXhgYoPsUnY9A4u4LOwI5YfrULaIA7gP+UF2/Gz5Q1y81IhPu5tRq7TOeHm7XGH3hFu - zNBylc/65fVEP73XfWgSnugFwHx4UmZMY5HMXbW35H0KW0LY3CWjlacUUPjM2Rbv7WTeJLKJwix4 - MK/PT8YIy1GAjSxKbJc1STeii/FWzOzMmIalbSf6E1D5aBiUuccV5bPxWObQ5IFCDmPtG1/9C+Ap - xBFdNHNodFtDnwFp74xh6tYG/yhOiyxnETM83uqQVgGmsFoedOLOst/Nj3VykZeBPBJ87o5IvPBB - R6iPc6ygJOl6KY5y8CthSQ7qKU9GeFlP6FaLiJideiwm7THZyldfiU2FU8f3ND1BH4wxs4Ik5fzq - SCnK7PLFzFa2kkmTHROCOJuJE/GrMYWFbqHzECpE3ypLo+0H5wQb+eUQYl2Fblb8rQXztJ+YGmnY - GyMvo8onlxjR3GibdDs/NSG5fj4stuZNMtzs/I5MvzwzvDGWXpMKqg4VfeRky4c24SdZusBp6nOi - utVgzHdcmgC7/Zvt9ZODaFyNMdhXEcg3n4xx3fgtiI0rE/zBu2LyJrYHL58p2W6p7fXS2vNRx/Qr - UZch47xbbBayVNEF+da718/LhwSLtUkJyUEyaNqkVNH2LCfaMM5FjYdwrayF5w2P1+LQjettWgMP - Hy+azThAHEtqDPuXZTBXP22M/mpqNcIiKqnA34rBzstoBFaGS7JvFimvN7jL0XvYd+TxHDGi210v - gHYZXfL1T2i8QJZDUb1rtjV2M+o9uaCgRm/ObO9eJcNGb2JooD+SfSd6iBXhKYL7iI+ENI1UsHu1 - GJF49TfERc+7x7OyuUMdXvbE8YlXjHftlcvr4jwz43w8GHMUjYGyRmhLdrp4Q/M8nu5QL3KZ7Zhx - D+f6ktnyJbAroo42C7v4yddoKQVb4qmnqeg11dKBXq+Y6PP2kgxFfh7RfFF1EgXnRTjYxi1FVyw0 - 7Lo33uGQvyIX9FCSqXQ7XfkcKmIJSepuqCQfaTi1XWmDU6UVM7erd9cv+25GX/9CZSQdDWY5qq58 - 3xcd3SzjbT9aoGD35BI//Wy6Yb8hPtq/TIMZ/iYyxnvxpspS8rdsV+4Szu9luFCqS+0wrzY5p0Ly - foMbsAudh8zlkruTL7/8p4vKe/BR39spRKapMvtS1QYXrnqOXMnqiFPMmldvE7VFX7/MbB6cUDdX - V4Beazie16WaCKUcx8hDlJJ9xdJuRFcaQe1GHgvzw6GQPp9kBG0/5ExbozAcvv0Dff0S3hzqSzjS - WqzhcM9SZnk0TViZ33N0LBMDX5iqh6uyWF1AScuWmSsIjH7dRC2KMyVnd7MRkwlvNeFPvR+6niWj - PIc5iPOjpgu0D9GYXlcUJThYsa26eHpzhnkJOxt57HCvYo+vHJki2FVHdmgQ+9NPFJXHIl5/+/vw - rV+lelAbizh68maXEBXlsvzByr2SvSmPRfrzr8SUtpU30v2HKpH5HPD6vROSRvQuI3y6kbGDGR86 - etmLI0xorzKSSy7n/vviwtsRL3jdK07BSBIGgLQyw7I1b8I5Nu0IzevuQba2EXbD1x9BFq8OFOJM - SjiCVoLzPS2wNJC8YI9B0GURsw/eLPCBT1u/OSFr8ZCYq/fU4OelP8P6uDNp/u0f07LW+p+fZuq0 - lMOZryAFpmcKXXa96q2wZMfwJJ7GdqsMiin29RQyZYtorphpMV0f8Qn8g6rQ03uaOn7aJDmKxtmg - i+OnLOpNfwmQ/BCeLDH7shtSP9JBX2HCHLV0C16IWQnRQVUZXrbCN962Do9A7JkaPvKkcYNjjZb2 - K2G7g0zC5sOQCW+puBEVL3NjNLqLCXw5C0RPGqeT9HVfb0S5xbhaZdBN/iT08OlmRtReN40pu46m - 0soeJc6sZIjKy9YEz77eiDlVFp/IPpNhsJBD+dVee715NiLYrl8WRbBtOF1q8RPVifMhh2dbdF3V - XWPY1IpIdrtQNqpqrwnoq4ds+yodj3/zGbJiwsR96KSjZY8EWDz8noXDc1P85ielbBYWXjs3BbH1 - kFMIuvZGpZN07cYl3qhw3z8xIc+nyEd3o8pKt4IIs1g9d1MmtgKs83dEDp6mF1MWnmvI09UCi6+y - McaXf61lej1j4kZvlozUc9frPnR2TF/3XTe961CHkvsC25/2ntfeQzuHPIMPs/S1Z8w//ehG+UY8 - x7XQ6oWOF+Xbr6moLhbep1L8SPnNk8FRF4pp92ru8Ej0gJjBZgy5q8SAYnWb0fG2vhljsL0AgBCe - MPQHzRvzQsbwfR90/s7n03lgM7JxgZl+jpuCa7acynLl7Qlu+grROWgoWp30E3OjVi7ox8AlBHYz - MatAez5Lbd+jeOelzJI9w5DkIrBhpRcq3vz83dePIxy2a+JsxkNBAecBfNS3RpIPq8P5eNT7nx9l - l9PYh2MSZwLUmrSmo3J/Iy6lhwjmJ+h4Ck9bLrCj6ioyPXjMUDSSzNfTQ4LTxsNENQQtWbXyK0XG - TmnIdrDEhBuCXsqZskPf+fsW8hcILoTcfTK3NZOE7oRXjxanS//lC1UxSGSzB1pLOV2v7TaZt42s - I2dcnSl8+cZQBvYJTinBdO3ddyE17vcenMdjyZxTlXat2vQ5rEnFCBl9D4nsI8Xw9ed4w43Bm1I2 - vFEmNoSp0kPu+Np75OjsGYRsccCLwWmJjeR1mxLvUFfGXAVWD7cEJqbZZ8Sp8VjlPx5AdMVMu8En - VQ5DxF1ySJfEGx9NtoCZDXdmbV9pyL/9Qw7so8m+vIHXfXZ+w0vWE4IZ2iHeaav2xz/Yb97ru5uS - w/aCo5/fCufnwi8hzpY5sU7jPpw01K3BGe810e+71qBvrZthIz8c5pRalky4niSFRDJmrolwOHB1 - MhUVLWzacjVBvNprkiLTak3Xh9XTmw7ZbYbandds501xyPd1Z0IfZgL76cXk0uyt/HiRAehtTC9P - KUG72iuiG7md8NnWY7CxnRGP3Eo0D9HtCb/82C1Siw9h4VowNX1Pp855hO/AEGx4tteRrnul6cbn - IVDRb341WIXD6UOjALbMjphTpKukf8/zBTwh0LFwtv1uVBX1Am7iN3iyzwn/w3cYXQXM5O+H0T+2 - m4V8LG8GXfw3v0HiS9r/8qMYr5kQo13L9/Rd5lPCs9r04ezWOds+RCec+LP7oy/s8dU7vm8PMjrr - O4LXq9ZBws8f2bLwZvbi6iaNsn658DleE6yM+ZvTIGpHuD9IjaUgSRE/1mMJ93NEyF6PRa8vyqUE - P/8UEbkqaIHoHR6idPrqv56IP70vX/lEDp8HSVb0HO/BOx5j0s7CJ+l5lZ6U+KZlBH9OARp/8cRi - uiFWbmp8vCzMCxqOlyfTb2sHjafj8Q442b2Zeo4jxN6n5R76d53Q6RpPHj/aGP/p16Q6ed5qebNP - SNnONR61ru+o1+UXqKa7R/zb+uZNN7t9wi15m0wvZbHoMWls5A5uy8zH4oMmqnZv1D3cC13tjXcy - dFMXozKLOCHzLS3G/HNWIVDQjs4+OAmd9u/nL/8o/eCqG9nRtuGoNxoz0kveze2nCeDL4+jYJJhP - 1VpcQBA7W/LTa5Fgs1dO52lDxe0l9AYQjzmKJnv89u97N6tNn6KY9Jx52bE2Rin285/eki0jrdFI - PNv/4T0K1WI0hvuljpQNuuJNkV4T2g/aBWX9JaOrx+Nj9LfDPofLW61ZKGwxF31SpTB2xZnYl8o2 - hA50+ofv/PxyPcWejuoPPrBtggVvPMenk/I6nCKi48ExuBw/apSepAfbBmOI2C1atGh/yUe29RTb - GJPNMkJfPobH4+lQfOtfhp2wk7HEn3rH+1Y3lVdd7OioTSs+1fdSB+4WT6osuV/Qe6imEEMk0fi4 - oqjf64YE0oW0mPa7Rfd85WoNNjocmVnW0PXf+toIhesy6307JFxzzxf4zrPErg+vbirF8YQ+Tq4R - e3Ftk8lpiQtCuyyYJ0ZOMi23kCITxRe6TAfJGKmTWsqwCyV664XBG52zv4Zf/x+F9B3OGUZv5Jhe - QDdwzfmEhukOU+bdiNfngpd+6xmSmu6JcWNDMgSPvYB6rePkxzOFN32tER9Si91e8d4Y3eiZojKb - Uqbbz8YYD7Zm/uZ7ugoi0s3EGGL05Wn4NJAjEjflLd7ooSCTX/8clJtTglCgN3PK3b5bm2cvgova - hORANZm/h+2h/vEZPAu4S/qiXElgBNGCdgoIqD+fribc6Ykw0/BZwj/3awAfcftgmvAIjUYVaYte - tR3T25fXjLfQGUHNUEZUQ+47nuqbO+Q39U2s5JqFjSZrJpBMIlSxCj0cH7v7jMS0qpg3dzWa2ta7 - oMPe5sQpd33B37djrZz2L4+i/l7zH79DbMVDhrtmYczsNaWKl0fa1x+RcHZ382VTrdcrdhy3C++b - 7ydwzm1Jvjy567OHsIDJn3u68W6SNwfCTGG9my/ferKNL29UgWQCweuAcGNKuJyDlj4+uKkW12L8 - 8bhQ/rhErSwjGbU8xCDYvcjcz8L3xMZKTn/y/zC/EoP2tHfl8z0vKGyqjE92XpnoN49k5yOE7BD4 - sULTBoidbO2QM/mjbwRYvXGnxsAnofTkP3pIyKHh3bENI9gyNyKO76h/+ChoB8mhtHrsCoG3AyAV - gc2M3aSi+bb8rGF+LnRClHcWjtbT8mGuZIPW2fpkjOJ5YaGfvzXwM0u4V9k+uqZ9R6ybrYWTAlOp - mA3SKT97Gl9dnUUOfUJjCugdGVN/Du/oFw8DP7VkVU/3Gj7g3L/z3ux99UeVR0VtiHnGiM8PacxB - 5G9CvM37xefV2CygbeITXhTbuVsNh9lVjO6yII4Xtrwb77KPct98E4+8Zo/J0vAGKxESCp80Lab9 - bUORFYY2zb79s79u+7t8OPU7OimhnYiy6zxh5ZkhXURRkPB0cQFINo8Sw5fHT3IFe2CrKTzM0lX1 - phXSfEjvocPsnTmHvTwn6Z/9F6vMc2M+Hl0K3Ku3X166RatgjFoY1eFE7G//548BdAhJlJCruqBo - 7v1NjM7h0seLfvcsxh8P+/JLDEs4ePPydcB/eJx6LYaCxqYaIzXLBUY2lmbwVJ+eCDuH4scXDXES - pBTWt/ZK7NdxgZj6cZ/QS/mduEu4J3VQOhe4e9eKad/84k++CeTwxW1CwvDs8Qd7SsBPpUXcTXX0 - poV5pChzrhuy/5Qemnva25DPw5J923DXKOurjeaDqbHj3S87Fj9uFthzeGSuExbhSIfIgrxJjnT8 - +s/i8u5qubVuPd34xOuYs3pQ2b6aOXshY5UM2mNjw9ff09tXj2Zpv1kAGy8V2S8lDUnO2w1ka6B3 - hitPQd/9ihZerLJwlqyPiXAKBB/oMzng5fd+87k59LJ6tHfsmL+sgovynENFXzndiG0ejgaxXLD6 - SiSWvrh8/Z0bwxjgmrntZeuNXRT30D0Kg3krpzHGVN6v0eI03IjV1kPy4/MQC+AS9dznXd/rqqq0 - VtKz/VLK+GiGdQlKurwycq9aPttoNcOP70SrtuE/HoG++kGsFeR8Plzmu/KnPjtD50JQahelUVXC - /O5dFCxJLxQIgQNzLu8L56ouBsp9LBdENdW1MWb32EZ32sN3fyYt5uapYeX4sM4/foT6XPvo8FiM - JyxHbVzwaFYXYLnXHYao7cJfP5GXQWp8eVvXUbYkJvzZnzk9w2R0o0uOlE3aMvvLP8ZMdbE8Iawy - LHwWfLyF2gi6m++Jdi5KYy6JY4LQWy5dCnXK650VjX/mFe9I56T1vcPzz35cnt/FcHRIUv+J9zY5 - vZKRSM/xx0cof+7yZGp3kotUX0uZWx/GcFxv6xpoLeRUwob3X/zxGT3Y16/X4fjdDwZRrjE5FLbB - uSwN5R8+40caNaj5uZYQjaPBVPu5Dod88emBreISN9M+//JXw0eW1D6IdwkUNHF1stAkuBrD1aPq - ZrYkFkjP2MeT0b359DTPOWotdUmSbmGH7G5ne8V4B0uil4IbzptNL0GTNy0zv/2YO2i04c62DbO0 - XZfwNO0xshE5MqtXIs5KyyzhO998+UfTTTNc3kpcWA7B5hWS4XKefXT08ImmG5Oh+hcvnGzfuKFd - 5LGh62UoRnTB7JyLyVx2NxWaDivM3izFZG4QWsjOCp2oEn6owQPsPeVv/TMyoDQc1UVh/3gP+eq1 - 0QtMjZUwa1y2P7zaonfOvgwxoZztN5WGRHNvrWGt0iv58bhJe2zc334cXWzONe/FYLxDe81D7DeZ - bExhuaNggBCQw72SjUl4Z5ZyH/dH9uOhHZbUCHYQpMwr8CIpx+pYKn//TgX857/++ut//U4YlPXj - +fkeDBie0/Dv/z4q8O/4Ef9bEKR/M+nPSQTax+nz73/+6xDC301Xl83wv4f6/az6v//5S5H/HDf4 - e6iH+PP/Xv/X99/+81//BwAA//8DALUBqRrjIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c0b9868dedafa62-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 01 May 2023 22:52:31 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '196' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 0dc16b9c27373738c2c364d171678493 - status: - code: 200 - message: OK -- request: - body: '{"input": [[53380, 8245]], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '90' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaW8+6Srfl799PsbJu7TciCjVZdwjI2SoEj51OR0QREDlWAbWzv3sH/zu7u2+e - RCB5lJo15viNWf/xr7/++ruK8+ej//ufv/7+ZF3/9/+YryX3/v73P3/9z3/99ddff/3H7+//9+Sz - jJ9Jkn3T3+O/m9k3eY5///OX8N9X/u9D//z1N7ldGbNR1kfT59Co6Mw2K/aiVIi5YisGtOPUMVc/ - L9re624DJJoVM7PigS5k25cPVXN7MDsSyvbbeMOAFt0tZSRIHC4+lqELC7w4EyLkQtT7lXUGOVv4 - xP6aWj52jb5AVWAsmZY3H0Sr5pvJ3tn4sEc2Bfm0J7cMHo67IOq27vK+rnMT1MzcMUfRtvqg6h8N - neTdjm3dzTmezPutAtE+a8zpTl0+tXmwQGccXom7e9hxzz/GhBJtFxP7GR/ygdlYle8eUunickmi - US+7DkY/14n9El2PVpWkwUtRLlR+oi8atsc7hr47fYjrGEU+7dKwBOXerPD4dMN4bJMaQ4iMB9mb - m1gf40wI0CpbypSHFxSxaJpMFGYhJkTCu0jAbizA/dgTsn1POGdT4z7lNQ1Vtg9jFQ1ws314R+iM - uTUE8/pkmpwddJPpWvlup6phKZhH+0FcY0v4dE2eMvpe7IxoFwYxvSZnGazE3ODNEK50Zp8WGjpM - tkp2+15DvEpQAXW9jZkG6UYf3ru6QivPD/ellBr5NGy3AuyJR+jXMuS2t95+Awd4Jsw5Xl95Hwbd - E+KbOhDte3t443FRl0jp+RsPxKxaOhYhheubMyqHkhEJweK2kXUVUmYa/a4dJyTL0ETai5DqHSD+ - 3ZtX2DzXIj6v73c+JVluAnMblxk1nWJaDFYJJ1LdmOYPe1R56duACR0CYl2FQqeNaptw2eYRMQPm - eP3tET6gv9CG+dpRi1dppT7A/cCFHCIvb/ssUUxwk8/AtmdZ4s1d+GwA1+Gb7EdRjrg8ltqmzuQD - wevzHo2raAuKAlHI3FAq4u69rBr0FT4dHnl94PxjdqUUjvsvs7SQ5DxwVxu0DvYbgje3jLPLUung - IUU+cfinQM3xbT/lOKlbtr8GKh+Cbz7B5p0hsideFY+Lz2GA18dzsNBFEh9Ph/1Rvt+vI9ubG+SN - py96wuNSMaa3LEV0HW4GWJ7vBXFegeDxvD4WcAl0g+gtU9E0NFEF922ZM+sqGLpw3SkplKtsR0hr - brzWcqJwabx9YNawafVRJ4tSlkf0wTA9gmgKe/cI3mPPiLVqRL1TFqSAOy0NujwsIZqu1DeQpNgx - c8rUb4fruaGwWBFGl1k3oMnU8xT1eBMTs8F2PqRPHKCPVn6Y+0jktutWzhXOn+LK7Msj493KIRNc - hQdnvtMeeZ/trk+IPm+baFKwzId8lYToGB835IyzT9SwvU7RVf4qxDT6Tz6tjyyA62qpsX3XeS23 - nChQxhe2cO+Xb70+HXZH8PNWwZNK3Zhd3UxFn1oumJExveW7zgvRtlXfzPhKYTRsW/sMZ+E90pW1 - 0bjItxlF5095pfLJtHU+7y/42IwRw1/e42F5OjcgnO4ZbSrrHo/nnf6EQBGfeFiIIR9MbROgJk1q - slOrJh8DfnyApDtXKms+4z0JvALlW+dIPC++tUMtpCkI09Wg/C2/9eElr46gYW+PJ2uRtVO0LFXI - /exKM3v34GyuX1gsjQLTy0WJu82zCmCR7XSCfdXzhn5bYPCmbUpX59eej6iRRDAcGfDiIUhtt0mf - A0Juz9m2GpOIBmWVwZCWDtlnuzQfF/ryjnAgIaY9NIcPr+pWwS29Ueb6XEYsV90BZVp+Yq7mE0S1 - 10gRvS8LZjfJSp8KczVA0Dp3grvnLZ5ulWfDnRYG0ZWTnHfiDQAVOpTMO6EmZ4m6TNGvHsz1XUYs - pdCgyNVXmN3Duh2wRAtA7aaiIB0/Oj0HYMPwuK+IJpgD4mW9esDyYZjsmLG8HdtLGkKgr2MMpn5t - xzJ8GMgf6hfzkjDxBmEfYpg/01zBaV7fuF0isxovTE9I4E3L1klhlaUhUW1pp493Kroo4EqNX30U - o+5rtnd4UKDEw+2kj62JTEi8RUB52fke1z/1A71Xpkds32/y7iahAlVFGLJ9/Yh03l6jFH56uniS - UJ/S1beCp4QxFazs6fGuWWOE5PsNL16NO/+eKgD11j/xNymZ3n3y8AHlVz0yw8qe+mSVcIU4aVvi - qcY3pqbeZnK08X22FyWid3EvdZB98I3tGrTJ668f2UjvF1ti9QHmfBHVRyBJoeH+cPX1FV4+j+iz - uZ7I+fY+elz/vgB9CqIxXVvsou7LFAzj6RRieLnHaBTYqP72G/Of1qsdy9r1kYmeMZ7ls6XW8drB - oR5vVHqv4pYdO8mWvH14ZqYXdmioE/kK1/fI6DrnUzusrFsg2zFdz/p11YfTQxvkJn3VFJ1Q0/LI - SQPIHleXaIj6fJA/moEGJ3DwtOdZPqDX1lXCJbsQkrNPTvfkkKIa0RcxxaDTh8RzOoDUd9lW6Ew0 - ruqNAZ0aJMSmuzHm46BfYdtlAzF0/uX9dHyVUrnFBc7rA8/H5CzfwXkqI/Eno8trIiVXpFaEEGsn - t5wNn4uNziE6EsLTZVzb7bBBK0k8UGm01jnjhZNBv9RqvGg76jVHqTeRVxRnZl6OQzRY33UDy1Z/ - 4Y15cVv6tc4VqjhpmWc/cT6cl3EFxeqr4+ztb9rxfbgfkbdmGtk367alk5U3EIXXB934vpsPheqU - yHiahBjudM65p8gYVT6EFJDURZ3TNQCU2Wu2N8ftXE/CHbbSUsZrU0lbdqpoJ5dVllPhK4Vxj89+ - hrZvp6PA1jbns/+BJlW3xAlqJxqWt7cJOC+WeOEqojct1t4d1Bt7/tH7qVdTgM2VdlSe/dv49WMb - 9B62dBLhzbueqU9Y7y2PkfX23Q58cH2lDByF6D0U+a/e0T3fq4wU0rGd0sTTYMdEmTn9K47YLj6b - 8mN/PJD7YyeiuloVsLkl0ZauBTvPh1d1qFB2phVT0UuN+HePr+hCM4E5/GPwLhGiFOonVYjxsr7R - oLdvX7m+jxad3v4mn/tHAGa3aDCkeyeiZbGnyLmKXzzaEfM+psI7cEwnZ9aGJPm0XVwCOPjjmu0l - M+TjSjsOKH6LSwxJ9eZjZd59cBfTB1eWlHjTJU7vSno6XJiviwKf0lxfoHOzj+b9zHReX+QKXbbv - CI+hjdEgHx8bqEVVISTJNI9P6qaBfXgAph/2fitW1agpg15+mUPliI+R0RRyAsaT2fmzjH96qFhv - JtBi7dF41LpPhdh74RKzrd9e9+snd7btiJZ9R31Q77ErF6410PuVFjE/ZZ8JnWRrR1SqFdEwaHsT - tEezoAthLFu+aX0fihRsYteRGfVDkcsg5HKEkS1O0RTTboH4JzwSp7++o2nYOiJszG2Fryx1+MwD - qryVFJnsrsc9GhVNlSH+pm8Ky3fV8gPFE5rvM9WvUNRl24sP6pT3mFlqn3f4vQXw72uKFztbjBls - iAiyaG6ouOwrbzpmIvzhGesyMn3qzHqD1q+BMM31ypiPplSg5pAGLBRhy0U7MGf9ubt4LfcuYuHh - 0iHZ3wlMpc4zoq8gDSAdhoY46/1bH/PmIsA9JypdJvXD49HDA7RNO4Ml9qLg43HxLiEZhy27D1M7 - r8cdg9FvK6I7ytHjr10mgOxVPjvoktUO8/5Avief6JqtRH26GlMA8/rhNM94PK4t20TblBrMmrQb - mkZkC+j9JJyWSFvrU4JIB7MeES0jfTyM4RT+4QkhfrUehRt6gG29C+JH9oD6IqvucBztGp/UoORs - We5UkGvrzFSFL3R68BjIR1H08MB97nWF6abyn/tXb+v14qevULuWRDqeZQl1zDZVGFnL2N5CjHcy - 2vigLaIY97pTIOavxxDiznkQLwkVr4eUPtDiMnyIPrYyZ61Fz2iuJ7wUvKBdCUxSYeYb4kSlEFXF - lWK0l+yImZ/8ko/CzZWlLXljTNd0bMf29aKotY4q274n2vawfpSA3oXHduYKe9PJuN3hoqgfsosP - G0TjiyhCPa4bog+OHXNlCO7KOJ0FukFu3fJFtwcYz+s3HqtGj1Z3KtoAKXbxcB+qeHgv0wp++rmQ - F67O0/NVhZkPiHU/i+10U5mIlkqXE3xwJU4TZHUw+x+m7z9DNLyvuyNcveUCS+v92xu87FLCay3u - mf1WJX2qfWeBYtyF5CUPa94eywH/eItyrXznvEfFXdHFISBmLxb8j16t72bPvMTTvb4BPEFcqiEj - lbPXB93Yb2C9DV7E21dKTNXYvMJrv3KIZ3V5PChYEJGTezs8xHanD4/vZoK5n7AQ0Y53wbedUPHd - hcSr4IGmMepT6TB9KmamNxsNK7HT0MwvONtuJH36UmmBzhfjyw6xgtt0M+oLcKWdPvNTihhlWQaf - w3uBefqq2mFd1BiwHy7xr3/R8JG4SPUZ0HhfJdEYxUGn5N5rZFqSaFFHj2QDi7QUCDa91pv5vkCx - my3p9A01T5z7pVRZwYAX21vqMVs5nEEZHiVxQcB8rK+KLOtrssECWbUx3ZHPFcrjKZj7o5rz/LyR - YfX19sStVDUW0iygytspNsw4NF48rWwjBbeMl1h4ZKq+6hoPUBU/dBYFKxuJx0xcQHnXJuIWV8Ob - uuSq/eGR4RrG3rRb2xTabfUkqu4t9dqd7p1sF28Ty/SocPZGlzvk2dn58VPbVOjYId0LFGbNfqqL - +5EqdkVvVJQ2VTw92V4ABy0jLLyPnjfRfBSVU7m4MYtGeTsZ3fEB5LR/sO1Hs7xBSwFAq6uUPuZ+ - xW3ldoSzkI905X0lnSc0miDvqhLLkbqIG6HgBXwfokGs+ObF44UmIdD87M1+q+SjVOIMITf0qGiS - qz6GkhiC8bkS4pNUaKnfrw2Y9ZfM68+76HJ5wHUnCmy3aTNv+JrtFe2dV0/FXiwQcx8XAYXIfBCr - eupoBKwN6JneVeIYdInYKlphmPsTc78n5lGWbDY/nmZG0mHU5Y+hgdm/MVP5PvP+Xq18+WC7wIyq - 0FvuHdMrcD7tmFWZ6o8PMjk3RZE5XKnayTc+AWgb+8Cs+NZGzVuNFz++xdJoXdpJ1d4DDHrxJVsv - uHtzPWRw7/OECvg+ofGzMky4VOuQWR5r8zrIvgGUvfdk7uxfum1rH2HWbzyd9w4SnuY6AB2kO2nZ - vfFYQqMBdpva+cOn/CtnFeTZ0cErmMAbGssPkb32XdwImo6GsxRSCBThySKzR3ldq7dA5hIizFPq - MZ5A359hcZk+7Od/uvNheYePVnyocH+I8fy+RaRt3MPMRx+PTY32BMsIG+I3Wq1zVtcF/NZHlvyp - ZU8vn2BnZwhPy7PjibW/BVQ+/R3ZSuKprV/UuUJ9NzWirraR1/OPP6BfHrXzvpLHn5KqobBEzpy3 - xREdkS2i84YZdPxolj7u9VRUbk2YU7ToSm9wlav9y6+Yx+6NzkC8HaHSrYR23+Sds09ypzAs9JA2 - J7PSR8tONXhmpzWun+YuHtTRCeDZ4Y4RxLt8+L3v1fO8+NWP3rBkIwNnxci0tR7zYWdLGFL/ZTPC - Rkfng2gclc+JHX5+PG+QmGVKW3B31vMgHl/JA8OSX01GQInbMamfBvQC9an02R29YTHtO/SrD4YD - 0xuwVJZAklLDq8Vmlw8ftDTATVwbr+tqatvK2j/hdnieyH4NOeLSavNQ5u9P22ql8dk/iIrImi2Z - 81jeXy7MhmMt1n/8MLfu9hMu99ObSqHx5vyzWp7Rn3obxE00ys7rgcwOGmZMqRJToeAlzPxOl0Zs - xqu9Xglw4+aEJzk6RjRPWhnoUbgztZxaTuNd7KJfPnj5xpjzilaDfJXdEx6er2fLr0G2gPxVG8x4 - 1HedG68qQ3O+wfZe7utsznfQzL/M3Qq+PnT70gRnJTjMCY0tGossvUK/VGumjo3aTrOeIxdXlz96 - 9nu/cmryEiN2d/X1S1AKFAuZzozVsEIcRfYTwtfXIW7mqfHgpbUJb7Q/EUtR8pifvXUDki3IVNlS - P5aukpPCz496hXtAvCmSK/z0wi0Giw9OlwEcNgeXWUlJ9EkdIQXxEsWM7D4rb/b7GHnKtSCE3I9o - 2rziTPrlu1a4nPO7c9P9yRdMk2w8pmhgAz5/E2aYapvToEwzFBurhM37PRrO1SeVnsampxs1a9Dg - KoEL+en8xYvPq8mHOpmuyp4/RzbnLy3DxtEA7AdLpr+EdcS7ZukjZJQ1Md/COxqtcRTQuiqedPFe - 02hkt3UlN3jlUUrBbMtHVahgN7giZv/cesLsH1G7fmKmwqHNR9tICtSk2nb+fnL8vXxvBhikfLKZ - j1H3W785r6Sw6ireA3YH6ee3z8KKt1xcY/PHl2wH00MfJP3bIWNJO2Y+o6XXB8aWQi4qBtlTq/DG - OLRMAH4U8UCdRdxvnccEiQcBe34sk08yIRg+rDTpMn5co6EfREAG36h0uHpvj4XVToT5M9tZm+yX - dzUgJa8VnlhXx9ORdzbMfoGYsPP1OX8Mf3nIH32lP17xtlKIr29V8liirlPwQc3J67B8xMNhuqpw - uj4rPG5iRR82a0NGO219w4PSFfog3oQFyk1BJPsvITHHJyeA2Z/RrlgK8bRITwHsk1bFt9CL+QrS - 8oEKp7Lx5bX95tw7VncpfH0ctrWc1BPn+lB+ftDbvLR8/eONHx9aO9lDnX4X1D952dZfpPr4zkUN - YJ/vmKHHhjfUQpWhJcMTMXgeeoMA3QIam27xuhC/7Zw/qvBw7AUzlp9VO/7y9tl/4XSJxfaXl8BH - 3JjsNb/vds+pgHJkX8iuoCuPXpPnBhG09Sma+0198z4hfC9uRox4jdH67fsNgKRdiSO6fjwx8ZT9 - /B1u2d31KH4rGH58uqVrE/HooS8A27uObDdHXec381JCsUQpXTyEW56el3ED54v5ZWQZV3wYfemI - JlX4ULR/5zFr2baBaeWaDHdPKR77/XGD6p3MmNdOez7MeTpKcrbB1zoqo498NxpIxYdPwuW59qbf - PISJnx1RM1VFYvn0B/C2KGT6ejTi8WHu8M8fUtgcgmhM6rMB67VBmOebDRqQHWvQd5cPXlpq3xY7 - LNuArcbA35Nv8U7ajhjCkXz3Y9XkcbNIkwAitvqQbfxxOd3Y/V2+YR5gYdaDPD1f5/V878g+uZN8 - Yi92R7Mek33Xta3wke0CurcsU6nqh5gvU9+UdHTz8E1gEZ8MZVsBeZkHvMRBqU/T8zAphb4oiZdf - zXy6uNxHRSgtmeVPaVvN8zY49bt8zm/vfDq69+PPz/+ZH7GZn8EZK5GOikm9eptqG8iMbUGXPH3F - /aotS1iQ24LC4sn59FpyDVxjzBieWuBjJ0su2Jpcs5+/44cuCJSZj8g8r2rpiFRRnvMndpFPX53R - 5+oM83yGuYyd417r+gZNqvghhlB+9cnv1AIZq/Wa4PboRvzS3zVY7ssTs1bNWW8gmjKQR+lDLNti - +Z/5BGflyHb8tPyT78MCw5kO3ZLk5W0xBsrn1B+IaomDN5DHOoWX7XyxpIPQsrm/ovG8etPJOJd5 - 1e2pCdMAnC610yMf7vn+AY9H1ODpkG3mPHIwlHVcwG//6axf5U9l5kc8Zd/Df+UJzlX4Mlcm32h8 - UeeOnoS4mC+GyBO3LSpg3LwWtFfGnI9NnrkQ8HRL/PvViadyV9lgriObbKPcigRfl1UQ7aNGdqja - 6/1vXvCM7s953lujztSGUDGu154d9knC26/w7v7kkzMPRTMPCiAZ9Zfs/fLtDfHFK9C1rQqizvwy - 0qvjgqYd3wTjTxiPhz7O0C2NKW1+vCMTywc/rxX2mz90Uqtryno955XDouEUDXUJ5JVLlItnDw3u - CUQUOcWe4Xl/T2GvnZHqh3/y1qjs1QqUMvAUKvcu8djv+87+gWCHW9GUrlgjK8H5Suf5V8yPu5MI - VmJssKQ4yKPe+3FEqtirDL9CEwnrPTLR1rkbVFk9xXyQdEZRHolXzKWFrQvCPvShacX+N++Ixpf/ - 1UCBQ8hILi7z7rlTB3mJtwqz1jvajl10EgAHz4j8eORPnrclOaZLt6p5mSf5RgaiH3Gd0G0+zjyA - +mZ1xlKEh3zgjROCWfEL2w9HC63G0axgKFlEIcidfHTIVoS/f6cC/vNff/31v34nDMoqeX7mgwH9 - c+z//d9HBf59T+7/FgTx30z8cxKBdvf0+fc//3UI4e+6rcq6/999VTy/3d///CX+OW3wd1/198// - c/lf8//6z3/9HwAAAP//AwBim/ij4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c0b986ab8dbfa62-SJC - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 01 May 2023 22:52:32 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-adtx4fhfg1qsiyzdoaxciooj - openai-processing-ms: - - '195' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 208e3672e7991aa80472beb0310e43d9 - status: - code: 200 - message: OK -version: 1 diff --git a/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml b/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml index f76703b6796..e1970da6d49 100644 --- a/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml +++ b/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml @@ -760,4 +760,827 @@ interactions: status: code: 200 message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read file, args: + \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created."}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find + the price of the book.\",\n \"reasoning\": \"The task requires me to + find the price of the book on the website. The browse_website command can be + used to visit the website and find the price.\",\n \"plan\": \"- Use + the browse_website command to visit the website\\n- Find the price of the book\\n- + Write the price to a file named ''browse_website.txt''\\n- Use the task_complete + command to complete the task\",\n \"criticism\": \"I need to ensure that + I am using the correct URL and question to find the price of the book.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Error: unknown error: cannot find + Chrome binary"}, {"role": "user", "content": "Determine which next command to + use, and respond using the format specified above:"}], "temperature": 0, "max_tokens": + 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '5216' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA7RUTW/bSAy991cQvPQiy3Yct4UuC+wC2QYoWqBIURTVwhiNaIub0Yw6pOIYgf97 + MZKdD2+7QQ89akg+vvdI6g65xgJtY9S2nZu8fmvlbz/fXfRXby52fv3n1bz6IPzl/UW3fI0Zhupf + snqoyG1oO0fKwWOGNpJRqrGYv3pzfr5YLl6dZ9iGmhwWuOl0ssiXE+1jFSazxWyOGfZiNoTFHXYx + tJ2uNFyTFyzm8+VZhg/g94Gz5SxDDWrcQ+757GyfoW0CWxIsvt5hS3IEjsERFmhEWNR4TTSDV/JJ + wl3pAQBK1Cb0m0alxAIOj4cA3Wp6LPGqIahi2AqttlQJK4ENbWt8DWvDjmqoyJpeCFjBGu+Dwpp9 + DdoQ/NXE0BJU7E3c5XAJW3YONO6gF/abIWdDukrtVtK3rYm7e3gND0BdZEsQ1sNHFcJ1XmL2mHAk + I8Gz3zzLOtK3niMJmKf0Ur+KgL2ocY7qDLYN2wZYIGkyN4adqVzKAG1YgPwNx+Bb8prD1f8pscYn + 6F7oGVWw5TQSPZBMFpmDjniquHPGj2In8EnoWS9vWFiHrKMjwwx/yqUs/QQ+x5T4ENcABtbsCLxp + qYaXT03O9VZfDoVHRmrkenVYaHpM5/7tmHUiz0ZWtiztqPESPI3ukZc+pjKjcAmmfbRKNsRIVuHT + x3eDuG89STqjX1sl6chcH7sOC9v/BnvzEsem++x4jQe0/xxjsnrkc0rghLmJm9NTHgN9dCNAo9oV + 02kiILkGsdF0lP5mU2vUuLDpadpSzWqSb7JaLKbsa7rNG23dk24j8NHhEf1zmgnLjwX/cRQ8iD5o + L/0e9xmu2bM0q/GIsUDR0GGGQ2ssZvt/9i++AwAA//8DAG09GqWwBQAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c963de149c8b8ae-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:43:09 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '25048' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86472' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.352s + x-request-id: + - c38dc2fc0c0a33984683e20fbad19f14 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text; include any information that can be + used to answer the question \"What is the price of the book?\". Do not directly + answer the question itself:\n\n\nLITERAL TEXT: \"\"\"Meditations | Books to + Scrape - Sandbox\nBooks to Scrape We love being scraped!\nHome\nBooks\nPhilosophy\nMeditations\nMeditations\n\u00c2\u00a325.89\nIn + stock (1 available)\nWarning! This is a demo website for web scraping purposes. + Prices and ratings here were randomly assigned and have no real meaning.\nProduct + Description\nWritten in Greek, without any intention of publication, by the + only Roman emperor who was also a philosopher, the Meditations of Marcus Aurelius + (AD 121-180) offer a remarkable series of challenging spiritual reflections + and exercises developed as the emperor struggled to understand himself and make + sense of the universe. Ranging from doubt and despair to conviction and ex Written + in Greek, without any intention of publication, by the only Roman emperor who + was also a philosopher, the Meditations of Marcus Aurelius (AD 121-180) offer + a remarkable series of challenging spiritual reflections and exercises developed + as the emperor struggled to understand himself and make sense of the universe. + Ranging from doubt and despair to conviction and exaltation, they cover such + diverse topics as the nature of moral virtue, human rationality, divine providence, + and Marcus'' own emotions. But while the Meditations were composed to provide + personal consolation and encouragement, in developing his beliefs Marcus Aurelius + also created one of the greatest of all works of philosophy: a timeless collection + of extended meditations and short aphorisms that has been consulted and admired + by statesmen, thinkers and readers through the centuries. ...more\nProduct Information\nUPC4f19709e47883df5\nProduct + TypeBooks\nPrice (excl. tax)\u00c2\u00a325.89\nPrice (incl. tax)\u00c2\u00a325.89\nTax\u00c2\u00a30.00\nAvailability\nIn + stock (1 available)\nNumber of reviews\n0\nProducts you recently viewed\nThe + Nicomachean Ethics\n\u00c2\u00a336.34\nIn stock\nAdd to basket\nRun, Spot, Run: + The ...\n\u00c2\u00a320.02\nIn stock\nAdd to basket\nCritique of Pure Reason\n\u00c2\u00a320.75\nIn + stock\nAdd to basket\nAt The Existentialist Caf\u00c3\u00a9: ...\n\u00c2\u00a329.93\nIn + stock\nAdd to basket\nKierkegaard: A Christian Missionary ...\n\u00c2\u00a347.13\nIn + stock\nAdd to basket\nProofs of God: Classical ...\n\u00c2\u00a354.21\nIn stock\nAdd + to basket\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], "temperature": + 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2659' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RPS47TQBDdc4pSrTtRgvP1jgVoJDRIiBEsmNGo3K7YnWl3WV3lmCHKabgJJ0MO + nxHb939nDDWW6Fsy3/Vxtr3xelzdHbfvVx+3h/347sv3D3fx7fDJLzaf0aFUR/b2xzH30vWRLUhC + hz4zGddYLje71apYF/vCYSc1Ryyx6W1WzNczG3Ils0WxWKLDQalhLM/YZ+l6ezR54qRYrjc7hy/Z + L/jSoYlR/IdslvuLQ99K8KxYfj1jx/o3NUtkLJFUgxolmzZKMk7TfoKa1efQTw0gB7CWoRJ5gnu8 + 5ToYTYTeI1TPcEvZDwpvhswxDOpgbINvISjQiUKkKjIcJEM/ZN+SMki65o1cabDfHEGfg+ep6ueP + 1+v5bj+HGxn5xNn9Jx4pJwVrya7w1aVAqYZMFlKjQJkhU6qli88w3WsS11dFSyeGJJCZInRMKaRm + jheHh5CCto+ZSSVhiWrSo8OQav6G5eLycHn1CwAA//8DAN9t5KwLAgAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c963e964a10b8ae-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:43:18 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '5190' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '88897' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 734ms + x-request-id: + - ba5144dbb670adade6451c523c7a919f + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read file, args: + \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created."}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find + the price of the book.\",\n \"reasoning\": \"The task requires me to + find the price of the book on the website. The browse_website command can be + used to visit the website and find the price.\",\n \"plan\": \"- Use + the browse_website command to visit the website\\n- Find the price of the book\\n- + Write the price to a file named ''browse_website.txt''\\n- Use the task_complete + command to complete the task\",\n \"criticism\": \"I need to ensure that + I am using the correct URL and question to find the price of the book.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Error: unknown error: cannot find + Chrome binary"}, {"role": "user", "content": "Determine which next command to + use, and respond using the format specified above:"}, {"role": "assistant", + "content": "{\n \"thoughts\": {\n \"text\": \"The browse_website command + failed because it cannot find the Chrome binary. I will try using the get_text_summary + command to find the price of the book.\",\n \"reasoning\": \"The browse_website + command requires a Chrome binary to be installed, which is not available in + this environment. The get_text_summary command can be used to find the price + of the book without requiring a browser.\",\n \"plan\": \"- Use the get_text_summary + command to visit the website and find the price of the book\\n- Write the price + to a file named ''browse_website.txt''\\n- Use the task_complete command to + complete the task\",\n \"criticism\": \"I need to ensure that I am using + the correct URL and question to find the price of the book.\",\n \"speak\": + \"I will use the get_text_summary command to visit the website and find the + price of the book.\"\n },\n \"command\": {\n \"name\": \"get_text_summary\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command get_text_summary returned: \"Result\" : a description of + the book \"Meditations\" by Marcus Aurelius, which is available for purchase + on the website for a price of \u00a325.89. However, the website warns that the + prices and ratings are randomly assigned and have no real meaning."}, {"role": + "user", "content": "Determine which next command to use, and respond using the + format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '6857' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA6yTv27bMBDG9z7F4ZYssiDHcW1rzBSjHVIgRYeqECjqLDEWSYE8wS4MP03fpE9W + ULIjx+mQAh15f777feTxgKrEFGUtWOq2mSwepG+re+2WX+4XT48PhVgKfnzem2Tx+RNGaItnknzq + iKXVbUOsrMEIpSPBVGI6/bi8u5vNZ6tVhNqW1GCKVcuTWTyfcOcKO0lmyRQj7LyoCNMDts7qlnO2 + WzIe0+ndah7hKP6SuE3mEbJl0Yy1iyQ5RihrqyR5TL8fUJM/CzvbEKYovFeeheGAaQ2TCRYOmQEA + yJBr21U1+wxTOAVPCdpzCGb4VBNUxHmI5L7TWrifIK3WwpTgiDtnqAQBJXnpVBuowW6Aa4LC2i2E + snBonZIUwxp2qmlg5xTTGAe2IGCjGgIjNJVwUzi785TvqPCKKeY938QZRpeMjoS3RpnqHaC18CPs + OPYCNIYg0HPlbPOe5dwthYGCoPOh2f4X+LYRZuCewLcrvcvre492lpkJfPWDBAu/zU8bNDpgCy+x + c9UVkXSKlVReD1hrMDTYJeM7F9oEwxqE7v0rU/VC0jpHkkGZjXVa9M/Ptk8F6mvbviWxPQ/46yb8 + q/k4w2HAMTpv9cn0m6UOIsPsV898hShcdf0fhkSoHSXeorzSuf5Gv3/dzuPl6gzbA5+4M3PEY4Qb + ZZSv82GrMUXPtsUIlSlpj2ly/HH88AcAAP//AwCDP9g9tAQAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c963ebe8fd4b8ae-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:43:38 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '18626' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86452' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.364s + x-request-id: + - 4bea82722ea12e33ad14ff7124a05279 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text; include any information that can be + used to answer the question \"What is the price of the book?\". Do not directly + answer the question itself:\n\n\nLITERAL TEXT: \"\"\"Books to Scrape We love + being scraped!\nHome\nBooks\nPhilosophy\nMeditations\nMeditations\n\u00a325.89\nIn + stock (1 available)\nWarning! This is a demo website for web scraping purposes. + Prices and ratings here were randomly assigned and have no real meaning.\nProduct + Description\nWritten in Greek, without any intention of publication, by the + only Roman emperor who was also a philosopher, the Meditations of Marcus Aurelius + (AD 121-180) offer a remarkable series of challenging spiritual reflections + and exercises developed as the emperor struggled to understand himself and make + sense of the universe. Ranging from doubt and despair to conviction and ex Written + in Greek, without any intention of publication, by the only Roman emperor who + was also a philosopher, the Meditations of Marcus Aurelius (AD 121-180) offer + a remarkable series of challenging spiritual reflections and exercises developed + as the emperor struggled to understand himself and make sense of the universe. + Ranging from doubt and despair to conviction and exaltation, they cover such + diverse topics as the nature of moral virtue, human rationality, divine providence, + and Marcus'' own emotions. But while the Meditations were composed to provide + personal consolation and encouragement, in developing his beliefs Marcus Aurelius + also created one of the greatest of all works of philosophy: a timeless collection + of extended meditations and short aphorisms that has been consulted and admired + by statesmen, thinkers and readers through the centuries. ...more\nProduct Information\nUPC4f19709e47883df5\nProduct + TypeBooks\nPrice (excl. tax)\u00a325.89\nPrice (incl. tax)\u00a325.89\nTax\u00a30.00\nAvailability\nIn + stock (1 available)\nNumber of reviews\n0\nProducts you recently viewed\nThe + Nicomachean Ethics\n\u00a336.34\nIn stock\nAdd to basket\nRun, Spot, Run: The + ...\n\u00a320.02\nIn stock\nAdd to basket\nCritique of Pure Reason\n\u00a320.75\nIn + stock\nAdd to basket\nAt The Existentialist Caf\u00e9: ...\n\u00a329.93\nIn + stock\nAdd to basket\nKierkegaard: A Christian Missionary ...\n\u00a347.13\nIn + stock\nAdd to basket\nProofs of God: Classical ...\n\u00a354.21\nIn stock\nAdd + to basket\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], "temperature": + 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2552' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RQ22oUQRB99yuKep5dNtlLsvMmKIokIiKCGgk1PbXblfR0NV09s1nCfo1/4pfJ + TEzE13PqXOo8orRYo/NUXJfC7OK9O2yb7fcSroYoZ9/uPpy/+3j1tvivny7eYIXa3LErfxVzp10K + XEQjVugyU+EW67PN5Wq1XG8W6wo7bTlgjftUZsv5elb63OhssVycYYW90Z6xfsSUtUvltug9R8N6 + vVpX+M/7Bb/cVli0UHhBNsvVqULnVRwb1j8esWN7ds0aGGskM7FCsYwdNRaOY3+Cls1lSWMC6A6K + Z2hU7+EGr7mVQiNhNwjNEa4pu97gdZ85SG8VHLw4D2JAA0mgJjDsNEPqs/NkDBphDOgUDtyYlCf6 + wA2Yy5Qk7sfbpMY2hy+eIWVx/F8NMfj963w9v9xW0PRlIp7NDpSjQfH0BE9iA4otZCoS9waUGTLF + VrtwhHGBfeR2uvA0MESFzBSgY4oS908dpljd7TgbWJIspacAmXeB3TTGpOcHzk6MDVoeOGjidpxo + 7PFZO4rAXeKseTpOXoKaJs+5AqcD5/H1okmcgfXOAxl0minAILn0XIHvR5M8zU9ByrGanFoZJI6v + 6iAtR8dzPFW4kyjmbzOTacQarWjCCiW2/ID14vTz9OoPAAAA//8DAON57pHiAgAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c9643c72ef50e88-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:46:55 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '9613' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '88914' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 724ms + x-request-id: + - 8f109408157b8f136e14558880a9db0d + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read file, args: + \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created."}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find + the price of the book.\",\n \"reasoning\": \"The task requires me to + find the price of the book on the website. The browse_website command can be + used to visit the website and find the price.\",\n \"plan\": \"- Use + the browse_website command to visit the website\\n- Find the price of the book\\n- + Write the price to a file named ''browse_website.txt''\\n- Use the task_complete + command to complete the task\",\n \"criticism\": \"I need to ensure that + I am using the correct URL and question to find the price of the book.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Answer gathered from website: a + description of the book \"Meditations\" by Marcus Aurelius, which is available + for purchase on a demo website for web scraping purposes. The price of the book + is \u00a325.89, but the website warns that the prices and ratings are randomly + assigned and have no real meaning. The book offers spiritual reflections and + exercises developed by the Roman emperor and philosopher, covering topics such + as moral virtue, human rationality, and divine providence.\n\nLinks: [''Books + to Scrape (http://books.toscrape.com/index.html)'', ''Home (http://books.toscrape.com/index.html)'', + ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '6014' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA7yTzW7bMAzH73sKgpdenCCJ81VfhwErih2GZqd5MGSZsdVYkisxSIogT7M32ZMN + sp1kSTdgl+1kiB9//kiTB1QFJigrwVI39WDxUe4eX5eP6ilerBd6+mlcfnh+au4/v6wm7zFCmz+T + 5D5jKK1uamJlDUYoHQmmApPxfDmdxrP5eB6htgXVmGDZ8CAezga8dbkdjOLRGCPcelESJgdsnNUN + Z2w3ZDwm4zheRHgRPzsmk1GEbFnUl9jZbHGMUFZWSfKYfD2gJn8SdrYmTFB4rzwLwwHTGiYTWjik + BgAgRa7stqzYp5hAb+wdtOdgTPEBdqquYesJuCLYOcWUsc3WqiaQVmthCmDbOdqQxilJYNftI7d2 + E9wC2gQjNBVwlzu785TtKPeKach7vhumGP1K4Eh4a5QpO4xVRcDCb8DRy1Y58qDpr8sOYfVHdCkM + 5BT6+20bF40bvqYWpkMbwJd/PZw0NZcqYQxZvyNXVc62U9QNsnSKlVRen/6soa5pMn7rQppgeACh + W15lylZIWudIMiiztk6LsJYhJ7ha6rZ4yDxblIf+JECZK41ChY91r7fT9A2JzX9fuI7gGJ3OoVd/ + cw1BpIO7ornpQbjy9pA6R4i9SLxFudK5vb8f3yez4fL+BNsC99ypOeIxwrUyyldZdzCYoGfbYITK + FLTHZHT8dnz3EwAA//8DAJA5RdDtBAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c96440b6a710e88-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:47:18 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '21751' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86458' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.36s + x-request-id: + - bc954dbc7e89fabf2dcd4980e7f4bb6b + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read file, args: + \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created."}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find + the price of the book.\",\n \"reasoning\": \"The task requires me to + find the price of the book on the website. The browse_website command can be + used to visit the website and find the price.\",\n \"plan\": \"- Use + the browse_website command to visit the website\\n- Find the price of the book\\n- + Write the price to a file named ''browse_website.txt''\\n- Use the task_complete + command to complete the task\",\n \"criticism\": \"I need to ensure that + I am using the correct URL and question to find the price of the book.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Answer gathered from website: a + description of the book \"Meditations\" by Marcus Aurelius, which is available + for purchase on a demo website for web scraping purposes. The price of the book + is \u00a325.89, but the website warns that the prices and ratings are randomly + assigned and have no real meaning. The book offers spiritual reflections and + exercises developed by the Roman emperor and philosopher, covering topics such + as moral virtue, human rationality, and divine providence.\n\nLinks: [''Books + to Scrape (http://books.toscrape.com/index.html)'', ''Home (http://books.toscrape.com/index.html)'', + ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I will use the write_to_file command to write the price + of the book to a file named ''browse_website.txt''.\",\n \"reasoning\": + \"The task requires me to write the price of the book to a file. The write_to_file + command can be used to write the price to a file.\",\n \"plan\": \"- + Use the write_to_file command to write the price of the book to a file named + ''browse_website.txt''\\n- Use the task_complete command to complete the task\",\n \"criticism\": + \"I need to ensure that I am writing the correct information to the file and + that the file is created in the correct directory.\",\n \"speak\": \"I + will use the write_to_file command to write the price of the book to a file + named ''browse_website.txt''.\"\n },\n \"command\": {\n \"name\": + \"write_to_file\",\n \"args\": {\n \"filename\": \"browse_website.txt\",\n \"text\": + \"\u00a325.89\"\n }\n }\n}"}, {"role": "system", "content": "Command + write_to_file returned: File written to successfully."}, {"role": "user", "content": + "Determine which next command to use, and respond using the format specified + above:"}], "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '7237' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA6RSTY/TQAy98yssX/aSVP3eNkcuwIELWrRCBFWTiZMMTcZhxlEqVfnvKE3aLF2Q + QBzn2X5+b/zOaFKMUBdKdFWX4eN73R4/nrLi+Xm/fPdlt/nECyON32d69xYD5OQ7aRknZpqruiQx + bDFA7UgJpRgttrv1erXZrpcBVpxSiRHmtYSr2SaUxiUczlfzBQbYeJUTRmesHVe1HISPZD1Gi81+ + H+BEPhW2ywCFRZUT9LhddAHqgo0mj9HXM1bkr8SOS8IIlffGi7LSy2QrZHsL59gCAMQoBTd5IT7G + CEZwLNBJejDGD9CasoTGE0hBIMofD6NAAs1VpWwKwnDDrl2zGIOXlI6UZ2tsPvA+jW3g6EdjHHmo + 6Lc8oDIhB60zYmx+gWtnNAFnl0fCfOwHFWSmpBk8/VGlVhYS6q38neK6VHYQG8Lnf/Z/R6Z7/dr4 + 6vqtlgYZZH3j+jElk2fjb4QptEaKS0mzc6QFhq+8l+trUsf/P9pA2QXXjIztryJiVUXDtl/o70Qp + l9+n62Ucpiy8vmmhPCRE9nJ6ITsdGfrdKTwkjltPh5YSb4RmcpKHm4GLidFLbDvsAsyMNb44DJsx + Qi9cY4DGpnTCaN596978BAAA//8DAJ9FFeoWBAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c9644ac79500e88-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:47:38 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '16194' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86463' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.358s + x-request-id: + - c4db367fe0ea78e879df9aca01bd14e0 + status: + code: 200 + message: OK version: 1 diff --git a/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml b/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml index 742fd1de543..7db296e18e4 100644 --- a/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml +++ b/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml @@ -442,4 +442,542 @@ interactions: status: code: 200 message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are write_to_file-GPT, an AI designed to use the write_to_file command to write + ''Hello World'' into a file named \"hello_world.txt\" and then use the task_complete + command to complete the task.\nYour decisions must always be made independently + without seeking user assistance. Play to your strengths as an LLM and pursue + simple strategies with no legal complications.\n\nGOALS:\n\n1. Use the write_to_file + command to write ''Hello World'' into a file named \"hello_world.txt\".\n2. + Use the task_complete command to complete the task.\n3. Do not use any other + commands.\n\n\nConstraints:\n1. ~4000 word limit for short term memory. Your + short term memory is short, so immediately save important information to files.\n2. + If you are unsure how you previously did something or want to recall past events, + thinking about similar events will help you remember.\n3. No user assistance\n4. + Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. + append_to_file: Append to file, args: \"filename\": \"\", \"text\": + \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. + list_files: List Files in Directory, args: \"directory\": \"\"\n4. + read_file: Read file, args: \"filename\": \"\"\n5. write_to_file: + Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n8. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List + GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created."}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I need to use the write_to_file + command to write ''Hello World'' into a file named ''hello_world.txt''.\",\n \"reasoning\": + \"Since I need to write a specific text into a file, the write_to_file command + is the most appropriate one to use.\",\n \"plan\": \"- Use the write_to_file + command to write ''Hello World'' into a file named ''hello_world.txt''.\\n- + Use the task_complete command to complete the task.\",\n \"criticism\": + \"I need to ensure that I am using the correct file name and that the text is + written correctly.\",\n \"speak\": \"I will use the write_to_file command + to write ''Hello World'' into a file named ''hello_world.txt''.\"\n },\n \"command\": + {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": + \"hello_world.txt\",\n \"text\": \"Hello World\"\n }\n }\n}"}, + {"role": "system", "content": "Command write_to_file returned: File written + to successfully."}, {"role": "user", "content": "Determine which next command + to use, and respond using the format specified above:"}], "temperature": 0, + "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '4640' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA6SSwW7bMAxA7/sKgpdclCCuk2z1rdhhbQfs0q471EOgykysRpYMiV4SBP73QbXd + NNkwYNuVpB4fRR5QF5ihKiWrqjbj99fqYTW7vfty++mhvL+aJ6wWF83Hvfp89VyhQPf0TIr7FxPl + qtoQa2dRoPIkmQrMksWH2SxNLxepwMoVZDDDdc3jdDIfc+Of3HiaThMU2AS5JswOWHtX1bxktyEb + MEumF3OBR/gxsZgLZMfSHEPJ5bQVqEqnFQXMHg9YURjA3hnCDGUIOrC0HDWdZbJxhENuAQBy5NI1 + 65JDjhn0wT5BO47BHG+glD8IQqMUhbBqjNnD1mtmsjC6JmMcfHPeFCPQlh1IWGlDYGVFBYzKmF9u + Y37COx5N4AaUtGDdFppAwCUBy7BZ9iMTKFdV0hbADl5jQ9UkR/FW0pMMzmq77kzvtFXHYtAhQqIq + /b2ogCjxu9kLZ2MTyeKk1SB77lgbaTu9MXz974mV16yVDtWwG0v08pJsaHzn9YcWOsRfL0A570mx + 2Z/zQ01yM7C32ph/21KHbMVwZn35L1cWP7/rdoI/k5J+fX6gb/ffAe7jHgZAcbKyV6EXqd4tty22 + Alfa6lAuOxJmGNjVKFDbgnaYTdvv7bufAAAA//8DAGWPYeMpBAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961baace9d0b89-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:19:42 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '19872' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86485' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.342s + x-request-id: + - b3b3713528a5980e39ea8db88738ea42 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Hello World\"\"\"\n\n\nCONCISE + SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": + 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '252' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOUU/CMBRG3/0Vy/fckZENhP4C3lReJoohpbuMatdb24sxWfbfDYni60nOyRnh + OmjYsxE7RF/eb2w7fzDOtvXj0+Ll0z7vvqp1jrTebbdQ4OM7Wfk1ZpaH6EkcByjYREaog54vV01T + 1+vVQmHgjjw0+ihlPVuUcklHLqu6mkPhkk1P0CNi4iHKQfiDQoaulwr/6RteKQiL8TfQNJOCPbOz + lKFfRwyU/5KJPUHD5OyymCDXQQ5C4Tpviuyu+aJPROJCX/Cp2GND3nPRcvLdbA9MCicXXD4fEpnM + ARpZOELBhY6+oavpbbr7AQAA//8DAAMBUhNCAQAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961c35eb570b89-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:19:46 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '1264' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '89466' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 356ms + x-request-id: + - f4a3c4670f6e5ebf0eb84373974ec2f4 + status: + code: 200 + message: OK +- request: + body: '{"input": ["Hello World"], "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '90' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6SRO6Orvn/v0Up86WfktkSjg7EARkSFAcu7q6QJFBERmSQG7d796F/1u3uzcu + kAIyPL/pyX/866+//m6zOr+Pf//z19/vahj//h/LtUc6pn//89f//Ndff/3113/8fv+/O/Mmyx+P + 6lP8bv/9WX0e+fT3P3+J/33l/970z19/qzerJWvEbjWVb+gAbmowUkctTtms21YIcyNvqLEfWk46 + IW7gxrFkim7ZVM/SahJha4CSOhtTCoaxKGN4fDx0HJn9aE2jNUmQ7g2OkS8/+cSGvgJn//JGWrMe + kuEyaTF4z/uaekI4BzQAGgRpnsQ0tCSB8/uIzzBUjjn2usshY7peOcA3Lm+6seVVMnTyS4LPa9gR + Ic3vYLoFtysM1M2TWnH4tYZTeH5B9Qs4EpzuA/iB7nP9U58U7J3ye032t8SBHbt1RKw6sZ7JjYX6 + EHdPJDVFHkzTEw3Axi9IQ/zIOP2WeQ7dkn5wgCvZ4kI4zNDfY4bWlu8mLHhmFah0UqJVxOygBW7y + gr50SnBEGq0e15oiAJL6Ksa3s5TMbqQPIHAPOwQvwy6bSdcbkKn9Bq2pmYNpYiHSvGeCf9/Px8fW + aPXtBuc0lD0n4KldHOHGcSrsjFptEb6rz8r+sf1iz6qdYJattIFaez3g4PO+1eztqgxo01Dj0JJ3 + /Xw8yC3ob+xN8bY819P6ZrSgft5lek+lc8Ak9cpALt2P1Ij6PGC1jVJw8fiN9NG96Idcsl4gzFcV + Nh4HYA3Spc2hZEQYB499kXFRn8763jMmJKEH6AeNewbYrQqb2gdjyGar7A9Q+0Yz3r3NnSWZMA1h + mM5rus3ClUWW9YA7Psz0Xh+yfmpfagVOgb2nwQi8ek3cQwF8+6XjXaO5/WTKqIPeZTYwviZBwHy9 + 96Abr+902X+AtWZpgNf5PGEnta/1fABWCu0XKYgo134ySCqywX0zcIqy6sDpp3c1WPTMRNyqinp2 + MlcE1RtPaHKMuOa5qcRwvBRXIsnBZLGtkcVA2dEvgWX4tj6E9pq6M8FE2rdjZ/JFP4bwdXBvGEdU + TaZv61aAuUZJ8XRTwBQpcwNDtL3gnbIWArafdi0csfmhkfXq+7F1Sg30oALYe4pBNpm3HYFhjQCN + TkXIeaxuNHBSqy22speSEEEiZy3nWxfb5tkOWJEdW3if/A/1Z9TULDo9r3DKqYZ3vdclfGMm/upt + U42om/TI58Ad4J/nbXEz8AGq0gCPtyTGWzBMfFS3mQ3ZRRnotmpeFp+vxRmS3rKJXq30+q0phgZP + +CAQSS3WGY/KcAOHOV3jsOtPvK8ekQdNNbOpRW/XYLp+86M25eyNvbss8XFHthIwTpuI4sdLtfjQ + PiWw5s0db4zvve7X1WoA0rfxcebvvxbv12IHh3G/x+GNd5yyN2VwykeNWvL60XOSN1eguZVLow/q + A1o0wksrV/GI7cteywYjftxVJzpTJKCNnEzhZ+3A4OofMRZfccLaQyKqcsIapCpSy+fNalYgbPwt + mc3xUH/H46vTvAI5OEwlKRg+T6XT9u8mpf4KaNYEusGB+yPBqPY1Fnz9AhCQpPKdtKJ2ywbgZg1E + VraliDeFNV1dNuiVVTg4CtExYO9v54D73bLw7v66ctYE6R1Ukv+hmyZ6Z3MOXy0E9BDQKJ+3/Vq7 + NQ0slKtIemPFElp2zxgO5XOF5H19AQxquxT2RH7gnXnOAT251xQ+17RFYnqf+MyV96wdROVG+se+ + SL7xXIrAVG/2Mh8sYR/BO0ASVQ5hJ62vWcv6O/QCp6JmcZWzxsnSSrsX8Z3uJ6tLponZIThk9YOi + z8qy+u5oH6F1Sku8gee8Z2n/LaCiBA8iWriql/UWQXK4bxCAw5wMR0/XwKU5bYguwl1P01Piww+z + ztjXusGiLm5f4NquaiI4X92i+zyD2kPW14jTdAP4U8yuAItLfVxb0hMqSBVMUCCQVfmuObVO0xGW + W+dA7aBvA97NiQDNS0vwTvxk2bSXNgWUAl2iwUWA/dTnuQ0/dOcjFRqnft7x2xXCalZ+/JQxJS8l + feLKDodP+8rZeq04YBUhjzC/3CfdI4VnmEm2QfdidLGmPupjkDfZlwaTY1g8XGWdSvcbTt3uHtVf + YVJ8MMEzwgFIb9ksxS8CX9u8QUIFomAGxnPBp2iixm1bB9P78b7DU/vGeHO4vvuPJZ/hD8/wGT2y + frKEdND0Y4mW8YGsXVXch8dul6FVhkU++Oi8gQqHDGl73czogToMut9ziLfPLKyll36KwbJeOCRD + 0S98yNS5oxcaJNOrH3R0F+B2E+X4hzdTWbQh2IryioiNcsnooBaG3l18G+9ijyccnlsN6NcRUONA + xWCK46mAq9xOENPniE/J4KRw/36l1CuUsmaaNSs6KiBBwN/vLBkc9EJNU6emW60FYPJA1cIfHyJ3 + TKypPg8OeM9JjVTzsqvZ115tYIBEC2cd21tzNBodtGboI+iaUjJLK1WCxeUpIGZujFrcXL4FlC96 + Qnf+d5Px3GSxblu8I2vIWqsLJM2B+HmREAOPXU1UtXT0ZCWsiGbgOuBagVt4fDx1HGH/wafYug9K + M70rJAPX6PkkjTGQdUei5vs+JoOudw7sb/MbcV+LA67epw7c1N1IRgFVCbPUmwTRnZ4Q/yZmP2Xs + MqhCa2kor6ciGx9yP4NfPfpgvGSTcSoNbQOdGDvbcOy74NrlMHgOiGZqte1nkM8eWPCH8Eqf++nb + HkJohI2LI3cmGRc6eAV6iQYkR6e1xZp7dFAXPiPi5kYzEt4DDzZH54Ujoy35YB49CR7D94x/+NtZ + czvDoySp1Fn0APnxrwh7mcAN5/0375AAjoYcIKlI3ZrfeDeDcW2b1BxEyEeb6Qq8OzAgU4n8frq6 + CgElsA167J00YOJGfuk7WfBRUaduQNxoPcDHOfapBe0+a/eT2emRQVVqnvu6H/v8bGs/flfG8hmM + jlgeADQ3Fd6EsVpPMg4LkNt9QnJVU/vp1ckNCDdnRtS3kWf08dRDUG7ND4mu/SthMb4doft2RCKB + W8JZZbwHWLkDJ+qCr+P+vTVgrn1NNFarR832he2B4MVdvNPtvuZlV0K44B2+rE51Qh+CLcH3VT9g + v6yTerpIwAdiL11olNyCZPK60QNcM88U18PbmmZzxxRxU7g0L2XZmr0cIBA9bmcaPdcMzIrkpXAn + Qx9vG34PiKtvpB8f0R1JyqVengIo+tmk2/PKDSZRvsZaV88y3bl5B/7oK/Z6+dg/WtdlP6qdho77 + mG6eihlI8elDtN3HOqJl/9Rz9d0xcCGTSzfk2wG6elQxQNeixYZ04zXNvqSD6mNvoOqxquo2f8cM + Jlv2wvgcCJyEwbaFonh40K36ZvVUjPMRTpGSonV+kerpRKcZeuuDgD1RUzPqd+s7XPQ00Y52BdhH + X7/gh9kmKW5bK2DzQ0Xq3hJtbFi7khNrbhmkQsmwV4KBsyK7d7/5p8vzksn5hDl0bK3D5iN6gkm7 + kUZLzDrEge1/+Gzshivsu46R6VOTnt0u1hmUu8OKWmv6sequ/HrQfJ1DvJFB3Q99dxjAbM9HijA0 + +s4+3nxodNst3XhWWc/tV7uC6JGbRFYjOZt7czpDUXn4FHnTLpkeDTmA3jwXP/3Wz67uS0D6vnwE + lJz241zNjg4yg9O4l8J+NtNS0yJyDomorOtkto8o1xZ/Q+rsXQdzHl0q+Dk8RwIs+ALMznyk1bpR + /Oqznr9Bx37/Y6swcqt/jAcDMut7xKEY7HueM41ArZCuqIxfVcae6usAge/qC/59a1Y+DUNXlN2D + pL1aJfy7Ygys6iAkf/irdB2mKaDqaPB+1sHUlI4PRyZ+sTnDllPpxGK41DNG573Nh5pnBWT37Q3v + oFkkXN+FNvA2nxlv2urb8zkICmi+9iURbzennhWHH2AMLglaz1EZ/NkfJHpk2PtE73quVPiCKHZq + 6sUR6ueh/raafqUAB5/GTprdvrQBJI2PlMgyAR/artB+/LRFTK2HdNdUME0tBUnuNgyoqKtnuPgz + jN9zBubHTpBgTxSPRjhoe7K9TKJudO4W8Vtuclb4XxGS/NSgtO5E/l30LzwMWUt3+yDvvz/9d1Vl + go4L55eryw7Bc01KNLWfFx/tyWugUfYG9dnxkcz0cVV+9UQDXJdgPgRSDMXkeqA3sXUsjl4D0Rb9 + QcO7RwN29HQF9J6W0p2gd9ZwfRW+LlxQip34/eE8ivcIWrInU1sAKhjMRPA1fXZk9Cn9I+D6Jxvg + mT48+puvuROuL6ik7RM7cjAFMzS6SuVr8YtYWTwWf+Jr8KQ+UiLEft3TV5IMECjNfRmPzWf1osza + +zi/yaQ/KSAfOSxAh/oEb7rMC5iPckPT1MODuiqqAj5dHx28fg1E9ws/PJ53KIJrkL9p9ICHjNNq + P8OJazsyDetPzZ/1QwGqLQGy+NF6pNfY0Cdl4Vu+OgYkGdUY9tHWXfQCD2b/tGNw8cPoxatn/xsf + eD20ntqNWgVkpbkGOJaziR0/tmqGA9aCU6ZOaP0VeD0LEjnCSbEl7IqrY88vz7ABllbYOObYAeO9 + jhoNMO9CPeSMAfGQd4WPSLQp2mRa1p1q3ddOarGlyTnxs9mjjADfOL2xO37eFl1XMoFmpjj07prn + JR95plA1OoTUxR8Mj1Jx4BOzF3YMoeOLvr+Cg+o6KJAjM2G31pNg2PcG9aLNJWDmC3TQtsTTD28y + vvgjuOhDUhxlI5u7whPgt/TO1Jw2q35eaTcCLa2yqWd+75zsb5mj1ZspxWjhyy+KYlFf8iRUoofB + x8t73YL96B+pGd06zktv6uC39M8Yn7yk/5TdV4Bn6DeIpR5K+P1+LOAZeg3Fg+fzKVQ+GtiwWKDG + +uxli1/1VHCWHAKSya5nhqENe09JaSDGA6jVeyNoJX9mBIKTYI1duk7B9epb2HjTIOO9o4VwOK5D + ij+aC6YTVWfg2oFAXW0/Jn/48rF7DTiSFZ7whxCKwGriASn5ZFjU9u6VtvAVjbCv89GPDQ386sWJ + 0jijWoE78AL5kYYm87L1ygkGrRP7DcXnIAcLf6SAB22E9093Zy3z3UCnyloiG/0A2MrciNAQzg+S + 1ZczmHYkLmA9YUTUfSD0w6EeROiOlUrtWDeDSRXbEO5Wzxt2fKzwYQgtW/c27xmT9PnpGRXFGf7y + mvAuVMl86K4vmNmHFYKZNliL/oJAf99uGNt5kE3VVo1Be/JU6vaFVf/0lfr2XBdp170GGNkgAV5u + A6aPWdSzKeofDIwZ3dKdeRbAr57hpWtS7B/tDZhP23cF62zRY88ZWFOXeTZ0zPqB4jmIwfxmlge1 + t7VF+vc09NNntjq4lvkOo8f3mDCmFJ4uK8oO+4ueZg/rNEMYTjsCo8s2Yxo3DPiejwg7G/McdMB4 + Sr/8Af/ySp4fahu0IeGIH9OeM0mNmR4Z7IU49g6A+G/4AtvLycShoZ1++FX89gOZXreNJS55ngbO + ooOPS/3z6167g/6xOlC7UeTs2/mbF5S+5ZNu2jIH3LnPBMrou8FW4/nBEGPUQSQ5e/rDiylKKwjv + F/GME2eIEkm4lil8nA8+AffIz4ZgLxD403MHZef00sKXoEErgyjYrwP+87+w8baEWbsSsNyRcnBd + 9yZ51eOTs+92N8CerB8ILP6GprKVw6N32/4Xnlq+PUCvCDIknPc2GFdOQIAhHB/YKjU3G+jLhFAQ + mUVEXq16WpyDGa6i0KNbI5o5sWIl16T3eSbV4bqtefNRNbjka2RmLExaMt0dAA4vQmQOvwEbHl4D + 6OkQEFmy/Hpcf3kOR+wcfn4w6RtlGAA9xQFd8JGTW4wbcEDrFVKuX9EiqpqnwB0LFVF9nSdMhlOu + ujb60siHIBgGgSDtO+kS6cqa1+/scJihe81NGs6q0g/3eH7p3ivl1HJZnU07EonAHr03TcPe66fw + sjmAM7scyUy+HZ925FrBspFaaow6CebXMz4C58TWZDBZm7F0p4Y//Ycd5eEHw8ulDlTDdE3RXPmB + 9t6DAv7qLwDZK5jOdnSEGKpP7MURqefMOXtgvTpZRCYdS4g2hDEIhpNJEdrIGZtDQCDhT5+oB3MP + eDXKgvbYbGaMy7fFxUEgIewcjHBwBvtsLIS3B//ko6v2bjEzkfxfnoZ+eRzfnUsBriuyJy96+vST + eNUFuORP2BvLp0Xi03z9+VPSq9W7HtVz3OhN1uZEpKdPzTz33sLe3K+xveSlHCQegqFyzqknyxHv + Rz9V/vD/5pUs73+BFpRb+4CxMvOAFBZjoCXPHRL6HeWMfboWvg7bGw4naUwmBJMYErbVqUFNO2B2 + v97A08Bh1LStn/1Zn6OQckLOsRYQhkUbsvX99MunLfZspxx6vTBSi39SwN0iS+FrewPY+fannh6l + g6SfMjDhX97It10oagteUN9/fSw2QU8ErVc4qEnta89PrWTANMq2RGHDuaZpEwlQSd8iNWU/qJmV + yhW0y1NCo+5W9fz92odw6aegCVxRMtkmuENV4wJRfv0Lf1CO4HwxLbTS+n3PmNJ6AGQbvnzfuicf + V75COTsXf/B5yQs6eC8Od+rv9TLhx3drQLbOTzj4jm/Ol7wD7sN4R/FecMA8bPERLPVMxv4ecclD + xvVPvnz5NmkyBKgY4I3NCTaOcpGtc68865lQbZFC3idrXvIAjdpXA5/2YAqGg1gdf+NH2uCk9ThU + uztY7y4naj0Gu+dofalgLHsNPrdtl02iF3igrb4yOX8HI5N+evCXD37F1gn48f04AgGxI/WCVd9z + Q59TMOeWSt0FD6R5vbXhund78s4vUr/kmd3P3xHweav9uK3rGaZml2P3fdtksvh8GjBE/gbxFZLB + oo8GfWyvNbZ2sg2Ya3FBz+x4RfStSvnwEYwYaoV4xYnxDq2F/xpYPqoL9b1OB6w+Bdqvn4S9rGnr + +STOHbzIUYQ3dJAs/ukPDdzSycG7JT+a6s9ZAYMQ3KkLr4Sz3BFygJVhxu5Wf/fssD2FPz2GnfyQ + JeT6GFK44CX2jGZfE2W9Hv7w4VnEn2wUXskZNm7mUBurHf/jp4yTEdG9ob+z2cmwBPquZWR93Mz1 + JEzM+63ngh9xsvRjGmiug4GaN+MD5gR/W/jLozE7R/2knq+v33winXes/4M3Z/8a4/C5rWtGt9oZ + lid1pvgcfnsZbvsrXPIm6gsKAbNsHV7wc6iuFO91aA1rpxNgUNSUSD6+gl8eBE/DBIm+5FOjI37/ + 5IM0FMoie19dZYCNGro4EN6ME/MhK1rj3hwk3muezeSmILjtX/+lP5j3tSG8XbILDd1NaQ3zKpfA + mI3bP3hDjtNe0O1Wjcj8y2uOaJcD//T0CBjMZzLeBtn44yeNV79O2HdrEj1rzBN1nE3Bp81XLMBj + Y8xEPtx6q1sFdvPHD2sLfyx54xUu/UkiZYLJ5SWPgnth8yQslk49H7MtgQOeExq+UxdMu5V1Xro4 + KT2egpqzYeRXNeeuu/TDjGwWpOYItKOvIWnU6oD3a9iBnz6dvh0LeEv4ASzrT4QxF60eHNYFFC/N + Cjv2rkrmy85BkI8XBbtxEfZyFO9DfeE7vOMvyhd/Peu5lB9/9ZeIwTMpoH6sEZkv36SfPHARlP1x + wEtea/SiHb1TGO1bigDIbEta9ieIbH2PtOrzrbk7OSG8dDXF7lNtara5fCttwT9SXb68H4dSmEH9 + 0XRqrPohGeaQE5gLyo1eTznsh+a+jaHYixeMEmdM5muovkAMln6oEMn9kiemwIwdEW+E2AVzGMRn + 3eEJx8Gid4clP9MW/4Bd0rGMo2RS/uwfP781YLQno4HgQ/ZLvqgv+cfnCn1huhL6w8NiBgjeX88d + +U4PUne32G3g6LQRPibWpZ+Ow83WAUoNIsfFUJMf/iz9LBwueniKFO0Fk0O++ZMvDL/9XZWmTY0l + 3517k3QAAqTTn7+biHuowI8Pd6EOQDsKTIOvg2fjsC+/1tLvjH/5Dt54G4mP5ZRtYCMKlNqJvUm4 + v9t68J40ArXT+wQYuN5suE3cL+knxwjmDfUcsOAzmvhKtKjJigNc/AXR5Oexnp4jbcGr0l/YMM01 + H1+pPcMbVVyaj/nR4o7Qb5S7AwoaECEB7PS4O9rfv1MB//mvv/76X78TBk37yN/LwYAxn8Z///dR + gX+nj/Tfoij9m0p/TiKQIS3yv//5r0MIf3/7tvmO/3tsX/ln+Pufv6Q/pw3+Htsxff8/l/+1vOs/ + //V/AAAA//8DAJS30qThIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961c3ef9c10b89-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:19:47 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '152' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 77ecb81e10b5ca3c783501ac14849bc0 + status: + code: 200 + message: OK +- request: + body: '{"input": "a simple greeting of \"Hello World.\"", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '114' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RWy86rPLKd91N82lOOFCCAzT8jQAi32AnkekaQEAKEEC62sfvlj/Jt6bR6Ysnl + ksuuWrVq/ftfPz9/urwubtOff37+vKpx+vM/X9s9m7I///z8779+fn5+/v27/pdn0ebF/V69y1/3 + 38PqfS/mP//8yP9v+Y/TPz9/5B0aCHfpVAsCry2QNvmGWkU+DV1y62wQzIlKw/4VglmPaQHmlXOn + K67vasH8YQSPEjZ0OwsE+Gu/PsDC7putsVy0NZ8Weg+Vd1vguBPcmZbWPQNXveiIyKIh5Zk7WEBY + DaLu1moi5o3rGB7LZKJbLXrVrJ5n24TP44wWBHi5uObbxNBfsKK+LwpA87lBsNctRDRTl3NxRiCG + NT280espSMqTo9pBI2r2eOXLr1y8NZmYUyEmZN6bMp29c5DAdHEt0PySoTNXmtxAabJVovPeHpRj + acXAP6lPGu/0XgjD6UOY6qODL9ixamUV+BwaetGTRr3lgrHmaoPmejziTWrkwzz4QwPcOjliFB3c + lBuVIUGzObXYzZXTMN3Y2jCsO3SR9nif8sk7BztomKcjDoJzNrBYFpredJZG1KjmKZ32oQ9wqF3o + cdrLw4xbFuuXylNwEEo+EGmrnaBVHR282r+2w6wxqYeGCm7oeRruDo02/QiLa8uwrVXPiD1Y2EDn + wWK8+v6fPRafRH86PqZnKRX5vBdhoj9nq8Orzdp2Ru0jPMg0JjB6gU89c36Q4QEsMhy/JzsnLbxx + iMfuhg8G8yORjnZoQtsH5PYgZto8sGVDeTwsqH9HDZieEsqAKSs6Dtu9VPPTrfOhda4j6pXe9i8+ + YPY+ruj9ndY53wVNY4zWxaZhKq1rhfObDH7fF5w2b9A2LCSwTy8P/LBbPZpxq8Vw2OYxdRtjyGfr + ru9gfuYd/uJHsA/LZODtmyOOY7+qWb+SGFiW5ERk8kGp2DRzDyUwXsn8zvt01tvUgsw/x0S9sVyI + 8ro7mOr1VJGnfSM1/9ytDpRT+fiNl4og8Q6wvRgeDuJpjGa+Eo2BPsMbu7egdrgvaR3k4D5TvHjc + ojkMrvZffDj23o2UqzYeYDcjGcmy0+ckGrcH+Oy9HKOJnB0Ofa2H/sQmWvROkc4vVoS6ZxscO2Vd + ReRsViNA7kpDy7IPokHdZxc4rHYa0t+fSzop2WOE7gaP2BlXXcpuJlcXL2S61ProQrw29oVDI3Ac + HCmfxJlNaenD2s9yHBwLOf1YMoFw+852hMpHOx3MoZEg7jeIuuSD8ulRXgpoRO2eqFP0BCx2sx5S + oszYV/wxmuvrIoaLMbSodTk7Kbl7+wIKzZmQejBRSk+T1sJHo2Lq2Tx01KD3Q6hpbkCt3aVIRXQO + LuAS+R0+JHkm+Ps9JpBNEJBvvtJPgoRrOi480mQfoYHNbREb4rCICVtCJ2LerS0hV9gJY/lo5yLm + PIRrdmzoen5ZQqZ6UAJSpSoSSt5EvS9pPSi6XUrRyujqeWvxBppgx3EYtNiZV3pvg1MRrbF9fdOB + zHx1gSImFY3C5FF/+fEE3u52T2MAmRDjsqiMoWcJjo8LI6VJcmrhdH/saCD5PqCDsj+Y59gpkKkH + ZS4c2+8A2GVLvJUwFfQZ6B2Id/adrqXCBNNCKi+m2G+ef/dcX7ELPH6WgvB2bBzy2m8P8HA6Dmje + VFI0q9IuNC2cPLEzXA41X4GUw5dIzkS8DmE6G88A/fYLMV/nCbwCVMmgVhMZO1avCDbjrgLV+tpS + zw7UWqwDSzM9soXUxdfj0F+NkwdqI3zQLUyzlE8sgUCac4Vuqx4Lrm/sGG6eiGMHTetIXqTjBar+ + eqZuLx1rPioNB66YO6QtSntg0dUJ4XZXuDSyHzyaLzfQgqHV3jjiUHbGRNxHEAb1g6i9GBwRgEtr + vLb9myhJj/P5xU4+nPtyiZ1VGuQ0bdkJrgYnRcuIe4CvZqTB6UUNarF9P4h2+9pBQL0rUiajc4i9 + Lke4kLMefV47D0wNuUD4Pt5sinbrGMyZrSegpqc3jZK9W7PB01X423+8NFeOPF6OBIQ0QuS9ylg+ + xjIwYNAWEo3ztquZb4+xNhnyiZ7fZw9MCQIe0DLqfPNFxYB1nkEGuwLfHSrlYi0JCXZneiXzqLQ5 + D8Fo6188Uqzne8FoFvtAqHSH100Zp9zKrvHf/nVAuImm6aD0kETHD8ZWRQSn3ixB5t6f2BrbvSDR + Fkvg936N58T5FJE6QvgoLVx855l69NHFONx4g9cXd8h5fL6pYCFfenpnysHhvKEGPK2NG/a8eyXY + jdxCUHptSoMuGR0xKPsTsFzTxPFqo6WCvj8e1ObPjjry/ZMz19s0sHNOOXZmNqTzppt8sEmXI5kp + WgpysmEDya7wkInyVSqHml+BPs0e1OdeC8R5cSuMzWY64zjrJjAYThUC38o7pMJP50y/fNsVfoKP + 7O05TIZKCKK6eCLQNWYt1H2WQXEuMxzn+2fK9wtLM3/niQ0XZkTZh+ygLPYx3ZR94MzdajjB0mtS + HJ3PB0fcklaF0CUBMkE1A/ZuLGb+4vXgNrXDJXB2wZqdG2Se46AmQW+F0JW8mAahhRy2XVjMiA35 + QFcrAaLf+QomOb8T1Q5ONV8+4wrGrGZoWTtG/XnsZgZXZvtEaqLXQpCRGwCodku96iGB0buRyuiv + a4OobbgciNddCWSIrelN3mt5p/laBZy+cQlQPkkk4u61g5VIF0i+N1fAj753gfZNnAmz1amezS64 + GXHg7qiFPnlEv/wJms7WkJy6JJ/EfTzBJB7Lb/1twZ0953BA9EPd620diVeycI3P+sXpdvcYBEWL + GBmt8iRkcWNVyvbzrtJlfVzTlTFKDlk+4xIq0VPBaOjHgWpozfSnbKTUD7MpIv6xvZhw6I7kvVXn + tCNE7iAZ24x+8ZM3yXZ1Mrvo7VKfXn0h3HQsQazCD93yOajHb77B4aLpqFP80fnVwwa8rjfYPjzL + SIRt5wJb3XGywMM0EFtdQbAP6EDe18N5GN5JeYLrbJJpqJNAcDfuJCMwlhCJNllHSkrNDrRHK8eR + MJCgV1mTwS4rFWwrMa6X7fuigicVKsbIXeR0W6x686RsEqROZeDMbqsSeLmqEd2s15+Ivch4AVOY + UbrtrqkzNwqVwDcetbsNcDi/Xwx4ElyhvhzO+ah9gAdlYmwxWr2eObHjJQEewZBo21uST6fdp/rL + Z1umHKJZbcbGaJpoS/3x7ACFri1kfvUvRVvnPYis9A+wy5I3jeOXNIjFvuph8VxmyFCd2ZmTSbv9 + 1QfsqyemJZZd8Hr7Nna6hRPxobEMszOPPoGsfQzz3GEIvnhA5g2M4EOu2ghf2oLTAD6NmunNMwGt + d9Iw9vZ7wbFm9TBviwiH+MidmeBBBtwK39irHgWYnd3Kgi3WJWIw8zmwcr+NQb1WtjT46h++zI0R + fE5yjddJT1OuAKTCdx7c6UZudqn44JzAoycSbLejG/FvvWF04BK2mVc67FCXO/Ohb7d03UXrSIUP + cgKeOFzpwR+XolrmfIQJuTVEGvqxFjALXMBvO0DdojoMTOHXCga1zqh17F95R/xyB0/leKB4+3Zy + 3j/WKtSUCpCF3erO6LxiSW+nvUsdvb6Arz5qQPn8PwAAAP//TJpbz4JAlrXv+1d0+pZ0REBqM3cI + ihyEUkHF5MsXQEVROVcVVDL/fQJvZzK3mnAoqtZe69k79sicj6rLt39A+7neKDY/IeLvpWOpWhwc + AzF+uCE/PpkF6i9xiFiGGWIp/wownTc81at2aXxWb9hsVziQk9MYsmYtMcgH9MCeVO754JcBwG1H + PsEgaqnHnP1gwVfRRjIOrwsaS9kVQAreDWGS3hf8C04Ek18gSMsWRaXvKxGez36kG7uTUVW8TxHY + 8DhQuyXM+9PbVS35eN6v5OaAiFTSjMGiuOse60bnACtDWWNj29shc7j/UOrVaoNvOzDb6XuckI94 + QIbfHRdDwd/javZ3XqyXvJ72B1ifRgq6PtsWUhe992DorUnGEMe8nfwmOruNhncygpZmJyIhchwL + wsr9kjdLZEkoVWWHBo9vbNLC+hpwLHxrep8rqo5K+f5bz7keMvVHHiBv2p7w/UBbCvo9B12zVeoO + p4ozXTMsmPQzeHy0APEsQx2cu9uaBkXQFrm2SyI4afaO7qx8gcicb8px29A9dsuCL2R5uj+2pvOe + mr2MYQOP+yMNDrnLEGvldLPKs5DQ4H1gnJ+5kaDJ71Enylct3yEaqafVKaMOtu7F2G3Ntzb5K2yZ + u2PIENIDjXIIgndWi6ga9LUEh2gLhIYXK6zN80mExXX9oXvmmC2Z89vZWJXYiqqdx+zX6wMLTWOB + mvtiyNeXwVaO3zGiO/Rbht+41LPZn2LLLwG9qnJBVrgXVnS6f8pXtZCr3j6P8GWo7px97VgHReMf + IjbCsu2lT/dDlqGM9JGoi5TEC6qqw+5xCYpot/aWS9E7/a2/uFx/ze6yOOqAf35B/UR+h9zdQw75 + K/GoNeWT2d8h3bR9vCFR6fFB0HX0Uywgi5c0oO5C1WheX7ovbheP4yYksCpuEQ7OIuVse4gyeD7p + SFbSKId84NwGwXxleCOkOWJbz23AHEWCb7AP02F9uI5QfTdP7P3y0GOy0P7Qz4oUbIxuk3Z6uBDR + XP8vzN/N+iOg4ERTwh5pXxCgW+NPL67NZsPH4d0QuPm3BXZPBjP5k+gSaOvD9q/eseq3FaCrPSEQ + Hl/FI2XZHVR0iGU66adXLat9gzxHsyi+betiULaHTHP2i4Ioh7FAY3oJVPg9vi/qvh0HLaOmkKCT + 5RdBI0TmsHZsBtq5NQkKUOg1Emv38Fw0FlFcGk36akkwlhtORLu78qFd7SVkxhNvGbqSd9Vi9Ybk + ubniPz9F3cRAE4+hgWXcQyYYeq6V966la1FD3uQXNyhxNBSgiU0MaH/oEDUClzrSeE1ZmrET8tSk + 7wUdfDTW/ktAgcBMMuUPNB5FUYcN5xVd77ZvjyyXSwO9u+tItw97WQzjW3LhdM1jvDERDZkRqyqc + 1M8KB8MN8+G0xA+Udt6P7ia97HTN2CABkRv1qo/W8oexSpB5O4cBVHz0+OK1vqhKnfyo5yyLljyu + 2gUi4V1hoyZ1yEmIL1BHx3NQdsMb8UtRdMgdyD0oNnqZDuZWdKFOSED1RiYFCYcyBuu7CIn2O1ft + kLGtAoX8PWJ9f6iLcfvYi3DaaC5+7d4Pj27uqwRxIfvhZKqHXXxmOvTi7Y7X1q5Mh1A1ciD8XeJg + tWSI60fJQseXWtP9aamH7HbHuurz/Iu3wUJqp3ogwA5nPb0q2PFkcatHcEG5R7Mrooj1ovWY8xx2 + l8m9qMr2OYKbWX0wnA+/cKzM+wZR3CBqcPtrdj5tNjDlA7yenndY7csHWie5jpPJT9DL46hoZ2s4 + /eU9+srLCzRN1FJL6E8p0zQ/huXL+eJdnR5D5udmogXMeuHt9qvy6Xvairv82EHcbqFg0/mCTk8M + 0rmvyKQ4WeqIu06E186om8OU7ybqmVBHvG25ZJ9Jgqb3w5n7Ej0qyT8GKzYm1NzoZdg7i42F9pJQ + U1PYd2H1FbwNHNLlCZvU7MPKVfS3Nn0f6hTCoiAUvgZa74QRb76KZYqEiA08d3eH2kt7b7akU1W4 + 3g+YXl6byhueJc2Qfhc22HNPi3bQ4maE5aE6YVsNUMt+N6SsJt4ULKzjwAcEK0BPzVKC0/gcCp6u + XQHszTHEwXv1Sdk1dSQYvMt64n+ZWSWnIl65zuuJd8t367VG/xMhKIQ9NjbUb/s53858y/kF62Ic + fTWAgSRvMryuuteSexbALdu+ySVjiHfmxojRKBiL4JM5hceIr1roJNEgUAr0bjtZKD5z/iGSMTYe + yTVVUP01e9GneH6H9PhULLgstyeM00dqNndpJOgDqURgqjcs5T2oUR/K1GGkN4mLOh1CfnSpYRi4 + nXiVq/qLZkXN6kLb4blON395mTlFW3T2q/6pjOUuzYxtaLZbgQNc7ydM11O+nM8vbCV2p/4mnnhD + aWfA1Q8iYyyANzzzOEPip6yx+xWNdnxmLNHSK6uIkh1cb1W/vwo8PnFFcXe5pyO3qxgu2hWRFd8J + xRBkbQQHTDQiqqwyayEpAeY8sTrEH8Sq5acBp7nUZJj49aSPuTrzM5dp60Kc+W0p7y1sHrIq7cro + vYEc9kbAJn2Y+S0Kl1JMZr8jFrH/gCn/kKVcex5nJ/ZDU70Oxuil/+1/oEH0CNR04Cad82t/DkrC + LlVujley12d/h637jYajLbYjjIK+oPqHf0KeHOo/nhkIPZFNbh/WNgi5+sa2KlOPVT9fQHUUngOd + h7QY9zvJhvEhOkS7FJLJTlluQNFmQGf9IhJrA/jYooEDlbdFY9MjzH49UC4S8ZiFWgVdtkpGN88c + hyOTwwAydGA0Tl4/NCzODxfk9LvC9q/Ki+FgvAyN7tAXG8VlbMnsVyvHlKgFtW2y8mMz2C3UCLvG + 6uiNVox0BBmM/+FVqoMTiPfPLYGk8vm4lZUE8roSqUHv+5R/u6ZCr/G6DdRGHc3eeTg5Ot8uOTXR + k6Sfqb+BtIV9px5XCZr1G61PrMEn93Eo+PFwi2fegs1jUphTvn7MfoLurl8xHLYozkDrSox3llnw + 0Te6CGz9VmFjvRHR8LA+yszTyLDmyOS9xyIQfduhJy/z0gaoryMaXB44eBYjWoJcuVBxZgQrabyG + vLuEAlh4beHzsRPb7smMDzx/9YJog4vCTnqPEtoF7oF6upUXPcGFBMDMCOMlW3lD6LwOKoy/N53P + gyzv7Q8cD7VC5ElPhs68MTT5ISKMhhkyxNAF9VaxodtVTMKpfxFBu3AOZFjobjrOeisrsMBGufbS + wS7SCO64JmQl3rZIYnIaqMv24WCb3io05bUOZr3fl/07pbR8Wdp0fuc8Edb7c2GBa4obfFYvjkfD + znVB6U9Hio809oamzAVNugd+QK7sGw4T74QdGDXWId6E4sevJcjMLSczb+Gb/mCBVb1f1H5HUcil + NScgXoU1XuNX4TEwrgewrkeG8evlFqx0zwE014OLb2WtpP22XTFIahWT/G1ZKSVw/MGpXV3olP/D + foTJWdXVmt6NqGyZHLgXlItZR03a6Xy5ENMc1OOxp2bxLc0aFUGMQMp8etWHDPFEEvS5H4YdmY1m + j7VeQfC6DkSu7pei+5xQhaJgtw7kxTEwx2k9IVmUDTlKHycV37IrgvJbxnQjb2k6+WFDkYK8ob4/ + +oiW9cUAkSj+nM9bEiuxCn2uP6d6lBZNdUJMhdtuR40uLVO6Nw6KdhX3Gfbu1jUc67tdIT2sc9LR + HCM5kSQdzf54+j9l1zys0Kf5WJO/f4b9xKPR1B+gDt8JbfOzXkSb+VmfyEYo3SKH/PFijdJNymTx + 0sGi/oxEc3dL868fJfquQ12vWYUUJ5qOVoa6pvpx0RWU3KMA/OwT4z2RIeTlqYqQ1q86Ou1vk9v6 + +wH32nHo5qv8PM5vigTWNtOpnbwsRJic7oGn8ZY+WeMUUvP0RdT5IsduVy/TDiF7j+rWf1HnU4bp + eC0WLuriqiWrPkYte2JbX3Wja1FnMKO0olg+oG+cPXE4+QfK9e0J1gc/w4bRmp40fqgCyJcrHJQL + zqvrAQTo6EcONCkzwuXkF6DelmOAPlmFmH1yFYTP3QF7zzZP2f3WNuiZ6Ne/fsR49deP//iJTlzw + dny6FZzR5oMvi9afeEd1gEO0g0CV1x6a+i8J9I51ot7O/hbj10NvQGsaUStPxZbW20BUnZOlk9XE + b/70K8wpBIOZ1ClzA+kAo1/GeH0q7HQ80Xeg7RquYFzcc5PcIqeDzygyHE39hP5Zlo/V5451Mvev + Olexc5j0GbuCeEuHgjcMFfuDFajG4d6Od+v2gGWwNYOF8buZUz9VhWsdf/A5X4bt3K/WJj0PFuHF + StnI2g0YiqRjd4su4Sig5wZ4mmwDZbdJW5Kla0GzPpWEHUZ8k0w8GA7mp6an2W/cbM9CC+VwpqeJ + 57GuFBOgXAjwlC85U6WtPed3vFbCrq2wtba0qT/8l/f7VrhUsOeWQPeCjtI/vjb3p1FqdIixSL3A + 1C/HwayfxB8tiD23Ij8ctOaQv8/NfP1gGYZvRK3Ge4CxyQl91L93OJy/ib6a6+U5tVhYzdf71zwV + 8N//+Oc//988YfCr7o/vNBjQP4b+3/87KvDv5J78WxSlf1PpbxKBdEn++Nd//WcI4V91W/3q/v/3 + 1edRdv/6r3/C37TBv/qqT77/5+d/TPf673/8DwAAAP//AwCK+T9m4SAAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961c461d2f0b89-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:19:47 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '148' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - d70bee6db9fb5f7e806b5720e8c8027e + status: + code: 200 + message: OK version: 1 diff --git a/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml b/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml index ad26e524bf6..add0b3b2703 100644 --- a/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml +++ b/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml @@ -1023,4 +1023,2389 @@ interactions: status: code: 200 message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"This task_id + is 2314 Read the file instructions_2.txt\"\"\"\n\n\nCONCISE SUMMARY: The text + is best summarized as"}], "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '294' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOXWvCMBhG7/crwnOdltbGqrkWtzk22MXYYAyJ6avNbJMueUVB+t+HsI/bA+dw + LnANNGxr2PZDl83u7Gvdzm7b6Uqp8rSy1Wz98Lhcf728PT1DImw/yfKPkdvQDx2xCx4SNpJhaqDL + eq5UVS0WhUQfGuqgsR84q/Jpxse4DVlRFSUkjsnsCfqCIYZ+4A2HA/kEreYS/+k/XNYSHNh0f6RW + o4Rtg7OUoN8v6Cn9NmPoCBomJZfYeL4eBs/kr/dGsEkHcXLcivulmFSlEhxEJNMIbknsXEfC+cTx + aK8PaTPJ+cw5Romd8y61m0gmBQ+NxGGAhPMNnaGL8WO8+QYAAP//AwBZM9YlVgEAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961c58fab7b8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:19:53 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '2372' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '89455' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 362ms + x-request-id: + - 98b0edf0af30b38f872770b8c3c0f8a7 + status: + code: 200 + message: OK +- request: + body: '{"input": ["This task_id is 2314 Read the file instructions_2.txt"], "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '132' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6XQ+6Orfn/fMpdvYt80RApGXfISggLy0Cok4mE0BEQUBeWqAn57uf4H9yZubG + RFpC2q61fi+r//Gvv/76u03LPBv//uevvz/vYfz7f6zPHsmY/P3PX//zX3/99ddf//H7/f9m5nWa + Px7vpvhN/w2+m0c+//3PX/x/P/m/k/7562+tbgTCX7NTTz5wyiE7+BFZ/N3oTPl718IbeCJ6lMJb + Ol2FuoOhNCrU3t/P5ZJ2ywLl+s2oxx+TfhCgJwIopBesY2diEwgEH55Sc0aT4vb9IlmEgxE079gU + TT2dAGgD4EqOSyTmn9JpMesMenkyU61pwrQPmqmDY3R3ifActZSVofqGWu8M1BLNvp9JNIjQvSAD + o7yQHYbmhof37O1Tl3hvNvWcxYHvXLyxrtVdSL3hHSs0tQ9k4+tD2Ytu84ZKnF+JfGUvNtOxt0BZ + lSU2dlmeMu12kuH0tF2MoeuXE+b8FnbaCeH9NqpSJifHANxK7oxPt3MCZge8I5kE9RHdItPsZ27D + d4Dr6ZYau4wLZ+OCfLmj4QEN9vcYipe4tkCOH1syPF4iI08lV6F/QQ25EFtK2T05WdCxuRu2RVgy + +oaDBO6bR0xNTozAgjfcAG96CbCVvXVnSDrjAJVd+sC69Fh+4wRU6k3DF9fmw/kK/AqaQS6gT71R + 9aVJ+Ag2ZTBQlF72TAzexgDvDXenJlEVsJyihw3mkO3p4UX5fqBvRhRdSBMkiee4XMBndwPwds6J + ZAePfjLZSYTLu66xPR33jNxeL1tZnCHCzokXwqEhag4KztapaabMmTjhiGANLjdsbw3EBAd0EXzY + W50ecmKGE+/INWAfTiMKLESH2UJhwXJfP6jd82dduH73lgKsrUeUG5T6gX7yHNJm+8H7I3g4MyjM + DB4ky6b3SyKVg5HVgRxeLAeH+AIArbcMwUMW9kQWoc7Y9vPhoVd1V4w7oICvploB1J60xO7DU4EI + FCPaNbcnJruplMtv7Ns8nDW6QUpx6MP5dGgR8D47Sm1tSNIhLNoWvtF2INCExGFuWKmKYB72ONzk + T7ZoWEDw0cQIVUItASLUOQQWrnvs2d+xX5rH1QDeB1CsC7VfTp4bqfB5yzwCVfByBtizGuqm5lCn + ZUO4bDwkQWd3bbCTdEO6PNtShMy/nNBHFqt0gtd9AoXQEjEOJr0UEe4zWHeGSgQhE51JzYJ8s9vd + IFXP10f50VQ1UFR+ayP2+uzD7TVMAmCe+RN29kedTVlmT2AE4YPUr3PlDJi7tTCM05KalrDvF1lS + RZjtuxsBe0wAGwrZAIa1ZX/yn+1hO0GaThPqEp7qAxNiCJvHd0HiTbT6gS0QQTvUjwSGyAGkiLME + GpZnIv6ze5bz4t1uwHz4Z5zG9xSwsSk4pdlcChJJoa/TDLUVPNavO5KmMkj56dtVUMwuL3p8ju+U + 8vpFglGhfbDrdcFaD2ghH7GWUrVuff2LT6oNbQu3aKM8dykVbXcBxV71sEYlnfGSaUngVRMdH16f + b8+2WyUAl2DTY3RrbTZfFRbDoowbavLcsZ8dbxYhH13O2HidD86sab32O1+kzAcvXFxei8DX4t5Y + vbRI78TNxYe7MTIRyNBnXV/LybsRMoxz103JmM0FlP2dTFVPb3qaoaKG1vu1YHU53MBwK/gcfk8N + omj4Js6w1eAEDmfpg95Wfi4J3CdvOMy5ga26eoRMPqYGDFj+oMa56tjcRmcN3j74Sx721yvn1Dnb + 8Csad7r/OoeSH3SjkJmSbaiJyiObB1BnsCn9AYnm5wIm6+wNYK+GIT2V9zFtv64bg8a9JTSDxQjo + fc4NcMS9ieTNyw4nTfAnxXJUngCDtToTheQN27dxxs6OkXDmNrCFpSYI1LiJbT8eiloE6lk64ENn + +zp58Icb3B+fInWl+A2oek41aH+DDuv6LtRZ4+8q+Llo4rpfZs8fhwQCLB0mbDH/GxJj8WzZA0VL + Y1ed+zEydi7kCnIk0sf89u2L1Br8DC/2y49+hmKvAQ3lDrbG98dhXeIg4N15mToRbPX50W8IfN7p + h3wl3tFnV21kKH1hj+2kOzjzsZI5aOGqp9o9assJ+YWtnEBh0tjaVCHRKnoT3328pYZ/fuusmg8x + UEcorfjEpUPS9JEcxxeTGu9kD5YQbwKQi9MTPw9NyZZ+02hAyt9vNIE20Cm29AyyYzmgieyKfjxC + LMF+3zzJtK6H7F6jD7YfWGLLND/h3C0RryBOPmBdmNK+Q/LsygdVKPHB/5jlthBEFUZRnWE3Kb49 + vRMWw0qCexotaVHOQ3V/gwjkI3ZFGIWkfVoZXM+L3u/9yVmS6IpkFCQyRZ/8xZhwn3NQ7DUPW3eh + Z71GYx58+wCiWZMpW9b6CGdt3KApaFQwi+84gd40ujhWCWPLZXO34Os8ikRZ43V6nFgE2mNjYPvK + 9mCp95wKK475FMv5oM8kqkRYOSmPLUv4guXGpBr8zrsysqZkZ7TESm6fIySyirDxfuh8KNFZxvbm + 1aXTOd/4sCtFSKTp3qTDPlfQD38JlGINTHqYdaAyvDOaNrt3OXdLxkP2ujk4lbqp/DYBbWFGJoTD + Fx3CSStPEXh3xKHmODRgUhlNYFZGBjqHUw2mOPFqoH02J+o8+ns5w523gGufnPHePMhsDFQ7gvZk + QyRtNglbvpUHgcPetzX/vJQ9La+APXf4ogaeHmw5fc0ImvyM6fHzmdmcnJoFet2zRr37Gsrl8Uxc + QGRKkG+7n5CmZbLAeOED7KVfWk6sGBb4pFFOtbg5h9Mx0QvAo2NPpu9XSceTaXNgD6cHvnX9mw1X + gbQgVB2ODCueznfzqMF49G74aKnfkB1yaYHuCzQUL7rfz49AVX/rp/fg7qRLH9stvGl+ST2xNcrF + 3xe2UhhC9sP/ctlIWQtd6eTiNIKWQywQL3JXPVtql/dL/9WuDwRHkdZ05YMplckmk3e7BKLXESjO + rHI5D1IKv9jV0JfNyRJMsHn0C5LMs5/Sp+W9QbZJZHp8E9yzYyn60IeGhM3TaVvSoAtvcOG+CbWi + VCkH8eK6EJrdQgDk034uxGUAaz3Fjvbe9u3lK/tguc4ntHydgS1cxiqw4iF2+7johynEGjjfEUXC + sMXltHkrCxBfXIoEr3qXSykNMZRToyOb9GLr4kOkNhDjIqCGUupsyzWlCsh1aelB2Z7SafMWJqjy + bo6PbynpWcu9DVjsux1Fu+fZWRLFRtDHzUhP+H3Sp1pbBsAOO5ViJz+CWbtvOGh0rxd1guMRbLvE + ceGzKjUExeWbzkoV1ooPMpeeiCDqDBbQApi9d6jdWRKgsIA2QJx0wCY3fAFZ6xV8i1aEs7zjy1YP + oxaW++pBTSyicm6juwYIaXfU018JYDC/36AB6hKr86SxZV0vRKFeY9dcSp0U4dyBiyGJ1G2VTdl2 + H62D+lc5k754AzDfqaRCTq8QVW/PKVzxiYBHKh/xvsvHcKnqSIaWo/FkvkRqyNJi0sCQogIpk6yl + q97g4WuxXHwLSqT/4g1cvluINpfZB4uiKz5IUQCofs9TxlLhjSDiaYSIfr3p8wJUCUQoEuljucY6 + qUrZkpddtiXLzenAKzqlHAB3GdMj3ovp4EyyDHtJNggTprScLhfLgPmpbWno0y6lTnkjMJrPyi8f + +uVt3Q1YW0lA3ZQF6VT5ogYlfrKw7lM73MYYWb/4wFpR1+kUcUMObbOG1JbNzFnsTSfD4LxQ7C1X + UWfbooiUvXoOcRg/SL9s9VcOlffLpWoxFYAoVFfBZygZocLhAZbp7HPK63y0ybDWe36D9AruSueK + jU9Knfmr7WuoP6QMe/xRLsmezw67eKgGerwGBhCse5LA6/ZpkO27Epzhdb0fZO8uytRtv6d+Wo76 + oPhwrChWCy4ctHIfw89ijxg/nxdnxccIOtIAqDPfAjaf8qsMg+Cekh0eeGfCl7GFxySrsPEcu5IV + L50Hd8PvScMNJ9bt7FsMhdAWsRmll3DgzGwA8dmu6Cl7OykDzKmh5D0L6uT8Neyzsx4DuNu4+HB6 + RIxVR7ECWD098LE/OQ4jl/MbisqtpG5x0J35YzBfWd//jet8Q9RMaW4PjKZnvKT0trd5aHwijnpH + /EzHW99L8DzRERtROjrTZY8DON82FTY5kWdLsqkgeHrqgUZ3tdS/S/WJQP6UPHxKuBkw7baXfnzs + Dx6PMoX2Tqs/AmrPyRROKUmQ/PLzfM0vmY1oOi0//YfEbtOGrA2jGNz0FyBDjO8OA1MrQupvItRJ + fJi2/nBC4DW8AiInPNZJ7tkLXOsxqodxAOyIXWNHlTxHSvs02NYcsQyfU7OlqvMkznha/OGHv6hR + k1r/bLRnLq96FJXH8NWz23Cr4arv8EH/fEJ6Ec0FDlBGJHpLSzq+GqT90Yt7QY6dL3gMAwDPMaf2 + 42Wk22mSa/Dj7/y4X1LSbxoViJKr4rugtIw9p6lQ9hfZpSdXCPSB5bYGjxdpxCEle0f84aNkBQqq + qsxhS9GjCpiP4Ex1T2odFkOug/zEZ/jkbh76fNkecqglLxUj6tY6s4XWkvmnNZLlKsv6mCzBAs93 + lyLutlwAYVZqA0lIeOy4r6EfZz7QAG6yA3o9tUM5BVulBiZvlRSjL+dQtW04ALX97sd3HVa8HBHM + ViRRfaEkZRN7xHK5iTekUavZ6fPrgmCccipaFO2s//F3lJdUrPqlBKy2NQLUdrlQt8HAWYh3EJUV + T6h1FxywVAAffnqYwFPR9GO9Nd6ytUCLPnXdTsW9KIpwsE85NR52XtLhs63gMckrsnOFRW8DIeDh + KGSIRiQC+hAsk6Gs/Nxjk7ZNGRYAlMn+pVN3ja/JOJ5jZezamcxIe5fj1jllf+oX9mIhZPUWIPhq + Ykq68WaXY9j7B9g2AY+1ZXd2ZlMTebiJwi09ip8QLNvLJANCVA97pVw4w952NNgeuAQb1uaQ0t2Q + EaBI1pFmDQb66HKeIf/OV831b8nm08QB5yx2qHev+5K3XMuFaTcZZJe9nZBdP98B6u42oeqzUFJ2 + uygqSEGyrH5CCUZflFp42eQCRfEx71sjq3158O8HbPf8rFfnLHvDTffKyKr/GXGd54rnNKb2o5/D + ytu+JtiedYzt4s36aecaCTyhm0/Pby9joxGUBTxhFVKr4YtygtfTDYiOccJe1L77cf+tWgWGB4Df + jmP102V4qEC6gS82OHEo6W6IBhC0vYpNeHqAOQNDAlPRxXg/14VTl+KpBuv+oo0c7fUxfic+9O4u + wtZjEwNh5hMNHqRFXPnOox8LUR5AOGgZ1fCF9ePFEQkEdwnjCO+RMw0kC+AsZJTwVS2ySf64BAiy + blKVeWLZ8lsrgtuDL6AVf1Oxw+kEtr1jIF7IPDbnB+4An9NnS+DKF/ptUcSQvRKH7s86BstIVU5Z + /ZSffkmnKTQ16Iy7nGZnoOvT5dqJcJzkKxGfo10uU8gGyHeViPGiTz2z8VUC+9dmT7ZAaPrxDDgL + gN5pyDY57cqFy0ANL4YsonLvQmd8Tjr/x9/pDz50ls8mRPKKB6hZ589L8JD++G8n0/RKho4tgZ+a + VORrnqWSNeVelR+2oGMUyHXI1LLLIXdAMlGa4y1lvZ2/oTpyEvWKg5NuY2xYPz5HJNXXQxrq5wma + pjaQzcvb9SyVGwK70PXpWXbqckqPjQtXvCTbHz99TtMbdvLo0dM2gf1yr3RJSfz3HVv3vgBEms+c + supDssQPI1zrPQ+DUSix9tQG0A3GBcJlvGk0fpMtGEQ10ODlYadYhxIJF1myRNhLkkH3zsUJm+Gz + rcGj/dRYg1LtLIeWvaEyRi1a9Uu/xAtGEFjoRQ+n5gnYsv1mPz+TnhK+BmQvciI4P/ccVmd5ZIMY + fHMwRqmLUfp02ZwUTgSPr0gkDF8Aa1Z9A37+r7P6QVOsTa1y5/cII9+j6aypqg+R60Rk2s8nQIK3 + QaBomJAIJpX6lU9asrt9F9i++AJj96yUYGvPX2qZ5jHlm+Ml/6PXPa+TwbTjdzfwFccjtseb3U/d + x+4gL6obepruuJdI4UPo48+IDyv+/OGPfqEdENgxFM56+o0gZWeCjcqq0yryAYTregmbtGu6PJ6B + C29VrSC2+ulz3Fwn+ZePo7zM5XI1rAMcntMVR0a99P09Odkg084Hqn6fQbg0CYxBLZOBGmu8s6P7 + jeCnD9K1XqjlRATdUkB/atB8yE/h7N1rF24P4LXGd6ZP990yQTvs5z98ainFfQ2zh1FgtZB7ttCy + vQHwiW9UXfezV85mBpfsqlJLUNRSnA9Yg+nn5GH1GQfptNX4BV7auqLe7tky9nk9W6i6oU2PN7FI + Z+g8ArDGGz1xb5zOyksS4XX7MJC86rdZPtQJHC1FpwduH6WjcAgqyB1cmar+gWfLdvREefXPqOGI + xpr/WJW9T6hj+wX3YK7uNoFvJAzreQTh6l8uAJEnIcuyO+tbi8wBnF2ZInHFsyUEnirbD/FFj6yq + e7KuHyR2wBCpEFdOZXnMoWMkLyKuftGsL6IPf363frc/4Bs3z0nqzMmkpngm6cSEmAPfrvPJm390 + /aJQR4V2dTCxv/p9Kx5yYP0exque47tmvMlXBAyK9KukD+iTRPLaf8EGUYX+e65ervIwQpdABhqH + ffWmg8eLPK7++wssC80WeJGDgCKzbcsFyTsEn7fco6erUvXCz5+0K8KwCQSz5H09d3eVc+exIQ+v + fq3PA7Tsm4XuqqGu9eqkQntTYHoUKQeG7qO1culpH+p5BWbzGGgHYDx4lSbT8cXa5a5IcOWb1HZ7 + ms7n4D7B2Ja51c/SnOlFiCqrY+RSP557xtr9Qfrp0zUe1JAFly+Cs/wNsHWpQNpNtW7DwzDscSou + L2e+36McFgaasF37W/Dzw4BpJCp1tfeTzW0/QllODx3W3rrsDEI1yco5vwfkZR4SRqG75xTBNPZ4 + 7zhFyIYyE2HnfWKSqeClT5r7meDLFipsqFXLBiI49m+cqt/vI5xe17MBjOfxRtVLXuqzp919OOnD + AWvaNDpjb0k5bIz5RVHuHlb8DHz4PqmP1f/fgLVf4EL/dc4ITNmSLv5Igz/vu5/FDGdfnDq4+lcU + N/LUzyoXi2DVd6S61nxJe2EIgKgkJXlpMgW92jYQQrmRqFluH4Cez5eDkhwNH3s1GFN2sDccDC/L + FlutFTP680NXP4Z6M7qlg3itud9/lLnXL+CvpmhB7hXPKHhqLphU8pLgXN1HrN6efji/GkOFnrcc + CUg6N+3L0HrDZlec8e1Spenk6FoCuVc0UwfyoK/j8TRAMzy+EP/cfvQ59goDHpV7h1rbCnomZJGr + YDv28HHcJ+XcP7oWGl9ZIPDhqYwnxY2Dw4EDqOexoJMQbwNof/3u1y8p5x8f8e9Tjj6fzwy+t3g3 + wDV/Vnz3y7V/ZMNfPuaffA9YLKcyvIpiQgpUgJB8XyWCmflo0GadPzdB04LQjglWv18lJHEiBzA+ + Dik11cTQF9Xoa+girkDDBy7p5J1mHy6ZMvz8FF1caLTAnx5L95iwtV8kgpKQEElrfZx3UWiAZUw0 + xBkoScVTXdXQsARGUR5TZ4LfmwhGIUfYwUgvya+e/vzCQ06adEp1N4Mr38QHnwb9H3/5ddQu1MKi + yCahSVvIMMnoyVC0kmyEWfqD3z/9xUp1PsCGG3i8ryMt/OMPf+f3G1sbAYOxHHkZ0Hev4aMqxSuf + uUg//EDbc8WcGaR7Tln7Y0i8BtT5+c/wmmwAte69yibPzVQYx1cTbdCT6cPaL4GCG1Rr/Ezp2v9Q + AX4JDl7rN2D+a78o0uSecYBcAdBzuOXh5cFM7H0WWpKTolpK3z4muvqv4cyUsgPbYlLxxf9g0H3d + nQar95Dhy5JaK38QRWBJdk/CzjbBfFVjGw5zZmD1ezHT2a0lS3EvroG9PK7BHKhaBDeC8iHT6neu + /SteWf1xbJ/40fn1e6FJXl981FOtJL/+3crX6NHIKJguezOAZRg4ZOhjtRRLG4hAD7KInoJ7H07L + dM6g1H2uWBsvWzbLmt7BjrS3lR+OJdO6ewRKmVlIHMo92Fp6+ZZ5se8RLXZ6v/pxBDIohmTa7LR+ + keWyAkFWOfTxnt/hvNYbMNVaTuJ38mIr/mlw7Q+g3/ytfpQzuG9OFeEm2S5ZLfi58vfvVsB//uuv + v/7X74ZB3T7yz3oxYMzn8d//fVXg38kj+TfPi/+m4p+bCGRIivzvf/7PJYS/v31bf8f/PbZV3gx/ + //OXIP25bvD32I7J5/99/q/1a//5r/8CAAD//wMAMvLWqOMgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961c68f996b8eb-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:19:53 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '198' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - f4bce6c488e925d0ceecb46afbe4c46d + status: + code: 200 + message: OK +- request: + body: '{"input": "a task with ID 2314 to read the file instructions_2.txt.", "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '133' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaW6+6Srfm799PsbJu7TciIDVYd3IQEbAKAVE7nQ544iAihyqgdvZ37+B/Z3f3 + zUwmMnVKjfGM3/NU/ce//vrr7zotHrf+73/++vudd/3f/2O+dk/65O9//vqf//rrr7/++o/fz//v + zkeVPu73/PP63f57Mf/cH+Pf//wl/PeV/3vTP3/97bj5nq7sIypKds5yKFlKaPPUVNQHOfggH5OJ + efS9TvtX9UkAHN9kzmJpF1N2G2IYFm/G3LG5pvViv5lAfC8sou0vcTGaRQAIycqdGKt+akcagghL + nayJjd+JMam8D9BX4C3NX1bZjt5Ke8GkmpxtGOvb3muPAfRsUxI3pini3n6TwPJwHhh+81c7mDdn + Alm/E4KRprqTeA1N0Om3Y5ZpdMZgvpEO7uKoEeexX7U0fE+NKpvrEC+WvV8MjlJNINtXgSq7tVsM + 2+yLlf5+5sQ+ni8uT1hDQc3WW3LYS37B3R0a0DLIDKJ94yxlW/8yIOFli0R/0Hs6ieAE6Pf86Fax + 095tvEbJy15ihtj04SD5VwfFuS5Sto7MUArh+EIFsVI8Peg9HJO9v1GP/s1ieNkP7RQ05g2+0oER + k2pj0SeHr6BcrP2JeUOptQLLrgOoaXsixjCcOWVLWwD7YGyJs/QZ4qFbB+sv7CTija5eCKYnWCi6 + pAqNN++kmK7YAlD97MF2j3RjSCpp6nWLIGfb771Oh2sUdkpmGDdGrqln0CzTHbVs3yVx7l7ChzDT + c4TqT4jVwyl3RzizBZALHsl2WS+L2tOOipphN8Qr17imrD5kD1BfYs0sOLcuF2OkQwAqJvuvsjcE + NxduMDr6yFxluy0mts4viEWvlnln/kK8lgUfoZU1MW2/I6GU9cOgavvHgJdpZSMGARNBMZIz2Vc3 + qR2cQXyBdvdTFtyCa1qwPjBRsRsISawkD5m5TRVI88MSB7tTwfm1MX1A3U7A4lM6tt3K3DVwPA8B + OTi2hIbrR8Dr8S7eGHmCXtDauvqA1OFN9vv2bIwLbtsolQeZ6eCOBVvRdwTxbVXgtfvu2tG4xKba + P1hCNl2M+SRJ8gPQWB1pRrQSUSa4gBTPcoglr68tz65ujdp8+SZ2n52LYVEdX0C2zwKrzaLhfR2j + BBn6lDPt7UE4hXgTqdFLOxLz7FTtqErXBVLMm8C2dozdkbYfB8anZ2B6X67CkZFiA/P74yZffd2p + lvR82ZwFgzlwcDhn1tFSh1ETiLMLnEL0NBmjQDimRF/EOBzpclfD4VNy3OxqM+XZtrXhMDaYbQ+h + jYaAxwlUr+hCBSZG7QgDVVC2fb7I7mq37QS7gwDVacnxUu6NkNfG6EG9j5Z4Ib+vbk+XpIE6GjSG + H5WYfpPQDiBdbj5Mf+wg7GrSYrQMlYbg7F6hPttwXRU/ekGhP59D6ixjWZnWRxuX53HXCuyw9qHZ + vdbs4KZe+BRTU4CjLTDiCtmej6ale/B7Xm5MEe9fWLVQonsnormB53JRMCa4R6SksVXqhSi51w2a + 9ZEcqvrojtfniqI7DRbEXV0no/4mtQVPol6ZZZwv4ehhO4eoXF8JfpESTeaxxBC/xQzLx5tTjOoj + 1EGtbYG48S5BLFmMF/guCoSF08loh/AcBFA/K0r06piFXbbOB9Srix0zg0PLqffcAJjf85bg/ETc + 8XWTHHCu1pbhBf6kjEWhDXtR65mBVI2PoqBYYMp+TfaHfV1wVSzm5/2Q5vVv+Oi11wBURdHxqn6/ + jCmJFB0On4qzTV8OnKuF4chrkO50/JyvxvRZUhv6SfCZ7a/2LTcfgQBRFW6Yhcw4nbbVNQbt2T1Z + mIi74vsang06BoqDl7KVp10WoxLurHnThXrsCh4+7Qmya3kiOvilMdFS9eH4NB+MCLWPhsXy8oC4 + s3zME1IV79dY+uB59o4lu6ApaoPGDRxewYfoC5WFnajpN2jcuGRE2u9S6aqJNarunz2VQ5m23eUm + xYpmb/csuL9QSBfnrw3Pk90xL6Q4bdVQeIC2bbdzP1G3CZLVhIL2/SEmRx93+gzPmyLHvsKsnVsU + /HW/P6D9kohO1k7jf+ZNfQlyQmb95x8VW0CSesU8T1oYv/mmGu7txI5u0BnT4iDLyrireqZn7wOf + 6qLR0XeRIeIsJR912cGNkC41De6308Kl29vX+qNH9wMYhhREhgLtILS00vityDy7MUHZiileJnpv + dCLxXlBKm+pP/Q3qWRdgdLeYHA4n3RhUurLVQ961xNGWsTEGH2wpsz6QfaniUKgfowzCKrKJ6Ydi + 2iZnOYG4M312MuVbMQzVgMFciSXBi5Wd8uvxEClf+ROz7bJ+tlN4cy6KVSvV3M+3kM9/j5j1fc/z + /O4yeikB7hVMxB6h4MNi9fLUeX7gSfmcWn6NiwliVo7k2LplyGsZfPgzLzz/bgzJVXEQUqc30XNZ + T+vAu19AqHYp210ypxjEPlPgsPT2JNV3r3S8eidPkY+XiWrvXDSGb/Ky1ElcmViRbTn9gNkPECXS + Aou7qWxH89p0wJ51zgzpiENabxQR7q/eYBYsPKOXKlmH4+5p43qsGmN8hVgGxekKkl6R5RaLk2aq + Uf/xiJMd+3BMDpkAVr7QmDGeL2jaBrII1UnlVCXO1h1CYz0hIa8UhrffzJjMt0nh3ooKmfsrZFur + fkGCky/O7680nDy3voFzWByYHR77dkr6AaBEMsVThnbFcLlJEaD1Qpn1sAsn5/ahUDVmTaXLdOSj + u05jJAThQPsWvYsukAURGsffka3LOj7VURrD03Mpla6PdzhljZKgr7gPmDkcM3eo6aaCvrFvJMjl + PByu+4eAqtI22P6rfN1Zj/6sD+1tvS9GOCwpCoQwZftSTtHkua8HMldCyYLHXXTb4A42ZPvQpd/D + sC/GLRwVdX6dZhlXwzGx3Qu4SFCJ31jPkInHW4VmPWE76XJKWf1OJ8iVZcWIXmpG98kkE8RGxFha + 1yaSoK0GIBdvJEacpuF0VarL7/thhPRNyDI0Cesn/kzMeexP7fihfYcQ712yk3bYGEPt2P14km1r + YoWT+Bhf4Dh2jpEsFW33chedsofjjWy+z0XYLW5fH+IPtqky88j4+oCOBFn8UpR4fcq2IGOIhigl + 3kkzDF6nbY7meUxHd30wOFV2OYzm6skOc7+LLMiSH1+yve0duEDjm6Ko5WnPjFtSFEyyZVD2C/bC + ahuV7ShVgy7LV91mDjwCd9yeLgoomJhs031Eg4XWXkAzH9Ipl/OUi+scq/d1t2H2d1ognk1OCahy + CW2j4IwGdWGIarPL11iY+u2s1ysf5PTmEQud1KI3i2SBZn7Hy3VkppOkvSb1x1enfTm4dXKqI5Dj + 0iROYfkhDzVZh8PbYXRdby13VGvXh4MSaeRChc4Y6q2ygEiVYxIsw73BTXFrI0k9Av7pbR9GCkZ1 + oHMaLJXG/dMPunR6MftoDXy6YrxYT6rFyf79BM4Tww1g6VtLpnnk41Iqn4Y/fM6HfYz678XeQL2P + l8RaEx4ycVdGUJ+EB9H175COgVKV6NlNOnOe9YNPTrB8IPVjnelCv4l8Ej93B+Wy0LFr3j84f52X + G3Q8xXjWD5oyaKsJHc9TwJyZx2iSXB6QabCkn3Vd8mGrvBx4ZrXLYjm4FGOySC1I9nnGzIO7aLuZ + T2GuL7Z7fnN3cotk+ukTIddtEAomVy301DSJVnKxRMwwSQAHwQqY/qBqOm6fmqMeExyTLc4aPi2G + l6lOSs3ItWWdO27hqqC5/uli5i0mLe0a/fRxKZy/LU9aX1EFMXnjqvD9YmXcPjISWRcTnwsbd/XR + rQAaW34Rj3+sgm8TTYenH5RYyTaWK2bGOgG+czCuFvkO8evuZKHyXS+ZZZV5277E6KIWWv6i4sxT + wxVFFHIUDGR3k8p0DMuNjNLiXTGtvlbFH14iYfTFQ2M9U25GTQkXV7tjde+zYhxK34GrcCb4I45C + +E1ucg7y4WORnXT/IGo2rY3yzx4x93y6IWYSzwEb73Jm6OmLD5/72wc0hjvibFJl5gvnhuLzMsUo + Wl/QuPD9xZ/11C2ao58+qNMyl8j2fTlxYRU+IgjG1ZmQi9C6/NU+X8g6mYhtJmkbjhl8bVDbxZNY + mpe2g5dcRFi2+YYYTy8Lx+B+ElH/5BJzV8xF1COTLx+i1ZtYRj+543bKahiNUWfpzLeT8Y1z9Ey3 + R+YdhAufWJBd/uj1T7+mj0IoZLfNlbhRcOazvlFku98HOeBDk1JRLESI6t4krjAdjTJ5+hV8JcLw + 2zWuIWcPNwFSdv6vP9IRzN1NOeIxwqKyQ8WgUtWBQ8FttrU/q/ArmRsBnt6e4t0gLXgf9qOjWPt2 + jeVjPyLGxkIBa/9dE0uNtpx/b4MDFy81KXRDnE5m0zpQdkuXubKvtx1LUYRmPWGu0lmtoK4nHcTv + 7UPcM9wR/QznG1g7siJESmgxv5+t1gmtmI6wWLAkOC5UUxh25LG87VPhszqX8OwGfeZLqxjER+j9 + 5vmsj7E7DSu/Un2hV8icRxSDmkY1muctVh4JcM42UwP6e7nG4355blkmZTqk/VnEw9GU2v6z66gi + XD9A9Ax92sEl6UKZuHYlBzJWxrDq7j6a/QEzzvotnT6hRZEdBiuivb1bOtYHwwG9KFa4KaYCja/q + c0FV+yBYeTVe2nhkCpSl/awpBK8u/K4SmiNBGjyikfqNppA1MkpifcO2h6/eivV381Ct2L1QZacV + KQ/dl6/2Q+IxQ/rUblcXLkVIykVm0rObSi6FCVlBLTFy3U4hZbvuBapQh+zg7V4zD59vcBV5yDa1 + fE8Zw0BheavudFWdhpb/5m1/P3G2u9ru7FePC5Vs3im+TVeznfXIhjiPNlQ64xWfrvuVA9bx6NOh + bVKjz/w9RYntKMTKl/uUZ/5rA/e3cmL73FLRj/dRFQprbET+o53YciOq8+9EK6PIpbVTWPDjDcck + 27ar3WuCak96MfdydsKJsckBV8Xlj/9C7qY3H+kdqbF8/nzC7opXPjyNJ2KWxqGdkm0RgXY0d3SR + UWzQYXUpUbl+NBTm/IKKm8gGQ6Nb/HXfXtuEpm+px/3aY06ObYNnj9xS42f4YR5FoduKgjGgFKqC + WBq/tdwL5AacQ2uwnS5nBQ+LpIS4HEy62j7vxVBPwQXSpf4hJravaRPEBah1dJNInr171IXGOCh1 + 0lXk+v1qaOa7SOm/UkDsLjy1g+fXFdzXdEO2FYxty6yjCc+Y7DHwT1V0WSbfALzOJq4Ye0hIrGvz + 4xt2az0lpdthX6KRqDHTPNF2eYI3Dsw8TW40Clz+009jiys8OjCFoxmZAayXYcY2cf9GLItGAbTL + JfyTPw5s0bx+vEsXi1WdfoyBdr98hkrGUy9Gb7XP0ay/bHM0zy3/WGICVvXIiReZdsrNRyKCbHcL + dnROx7T76efl1mFGONwNfn3dNvCnHvLkkY5b2baQyp4bqpgvj4+iV96gXd4NthPMrzGyKcE/3sHT + TZvcdluMPiwb54rFrczcWd9sVDkSovM8M8TtLTOhyqcbXrnX0JjMhduAvuYlXd4dkwuO+bR+eSMW + TcMzBrPxRBBQ0FO+nt7uEMSHBsjdWuPjnvqp+OPh2X/j1xntEH3xeAP9JPr0Yzz1VlxlIv2tFztU + gRROYXs0YZlikcptrBR0MdQWjHr3Ztbr0LYjK4yX6q6UCzFW1thSKt8nILnvMX1Z+uH42XUdGv0g + I5r3fvGRnfY3iATbYvdm0SBqnkQdpuF9ItZy+HJeD5cGNCc7MPv82YVDxqbXr7+Jx+QD4mYXKeAr + yy/uPZq5Q3KdHFWnbceshyKiKUF8A5Iawn/568SvsZLLYkcOjZW3fbBtc5QvxiMx5LIwePApLzDz + MLP9J0Ms2BQXEL7IYocf34qBLqvDuv8QxxSrltfM3ED1aCs61myT8m2y12GZeuKPx1N+la0Irmty + nvV8U4hix0vInqI5z/sNWolrQ4Gy8BDbzzwqXlZksQ6UzCFE5If2p49gVmuNmb5O3HWyCE3YC6qP + p63zcadVSwEcXZg7qi/D0eUgw3iBiNhtrLRUdLwLxDSPcMc/VTtkF9tDo8F1CsHIi6GuGwfNfpGO + nlgb87y9oMuOTHO/r9PvMfvUyPHKiulZZBXcjPJKSYfdlu2d+sj5zE8o/a5OzGNyz3liZ51qXZcG + Ho6Da1D2am+/+sAS4lrBkrN8gSp1t2z248YQKvsHRGOnk3gbv4pJFUZZObTJgznaZWVQ9eUN6OLj + gWnOaQynoX3Fqnq6VsSOcN0ObG2aklgnDrOU+yqcqHwf4KcXc96GGjWdFsBOb/vnH43vK8QKVKG4 + xgoUZjuCcnYgNKs3O5Qcu3O91SBHzoZpezqE40fHARr4U57z8awd4SB1SDZRSCw9ubf91RInaA5T + TbQ5r+I/vmhM/UKlpNuFq7C0FUWAJsJr2+s5Zbdjg5bG58WI6HUFrb+bG5SrxR4v0VMzVqH0TSCd + hBCv9jhOhxqcGo6HTiJEOH+L0tydGrTm2wMjD7pphWRam6jk+ZbC/P8N7n71AiC2R5JX44WjKaIH + mkTJJJb+9A0xE/IGNbbyYpahPYrus4leoHeHmpBr2rmdaee+Ovtx9sunJ9XrAojy+4n8+GdU81L8 + 5a/MHpZfY6QXq4HZ/9Fmt25bUSzcGM16OvPujksD1INyWOI9MVJK0EB98QaCeHnTITpqfEqkrwf3 + 99ul4LfftN9qQwI/vzrzTTFKlbxRyA59mL5hCarrrQKgZ7uRLjZy6nKwpRIuJqfssIyeLk/sb6cE + 60fPDNHowpGunhcUv+DKNGw6Bk/WyQLix8Eh1r2LUDf7PRSzaiTb9462TIy5DkK1TYlhfHU0voZn + jdbLY8YsZZcWU+K/MPSNc8N9G5ntn3zDFRcrqu6loejDyVmAo4sxOfz8QEDSCeI83vzJM0cz8nwU + l5NJ3HMrFu01USsQupPDtsR2+WgS5YEu3tVk+H6JwknVYYPcbp0QfBvDdJh5Ap4PGZgxLta8/fGD + Wd5UEp6/ajoFagfI7FYVlk9ukQ7ZwY2BPNwYy8PuxbtffjyvDzuUO6UdqUlttB/3b1pcA5dP9WYS + UGElNaaofrgs064RtGiR/8lfWvUTgTr7KWKtRSEd2Ul7qJm2WBLHOFxm/TAuf+aBfzTPBRULI/71 + OxYN7dGKTnUGqPFhx/QdlGjy6tGDZ9a4xA6iidNsuAiQnZ0js57SvN9xogn4krsgWBlWiIenS67M + +x0YPZ/a7OfuJkSqEjPTK+/FkLiyBYkRTLQeoUA8yLeg9sEBiD3sNnxyRe7DUXsVbPteipxvi3WA + jvpnQ5V5f2IKg8CBYfFheCT1+896/NHP9bsk4fR6rl6QdscrwWZnhVJyHhJ4aobEtBKd3EkNHAqi + /2xw9dsPc81VAtqj0THNdr3BZn5HJjs2sz4nxRgmlwY6R9nOeUth9B93kcN3PDpYxUXpjmKKbECv + pcowXM1QFOtsgkk5v4kFvcmn1cV6rAOkjHSNLSPsk+G4Aa4HFtlExwxJWZ3Ev/z7V7/t6JmX4I+/ + NC4QuO1sVGDZL0wcz/6Kznkz2FFzIxgMp50++/iBzotiQdcfQy7GTHI6KDvVZc5C7xH9VMxDT+ZZ + bBOcO3dQ5f6Cjv7DIhiiEXXiNvKRrliU6KbQp8x8JAKSnZVMcA6+MWa+1kF/dJ/4KfdF+id/C6jW + Un4SknTc1mOiKp7psMfObkLu3WoZqhvJ8ftTTEW/8kUfopqZ87zs23Fh1d0vryD6LVinQ61ljmpW + SCNEkTfGW3wXF8hHEpPdzS/CXiVeBPN+Hx3LNwoHZmo6kONSJ3snkI1ONZoYDlRZ/pnH/ZU/MJr9 + NkWX+tjyYIwaYBq/HxZwLdPR2O8u6txPZPumrJ39OqB5/+nP/tJAk5k3v9+BzPsraPiYVQzZTb+S + nS5rRS8p/gvS4lP9Wa9hu9pTqOyrxDb8YYWruT6QdloQ9vs+IwP9Bn2C/qtep2suWLA8X12CleRm + cG95MZU5r2CbSNaReBWjcm0/Lh3Rl+HX5e7CeIDLTg+qyPYl5WE96kiYZJMdf/nnrPfoUH99thm/ + RfjTP3W/5CoNrJ2GVur2ZkKPcgNL4+FSDIl1bNS/f6cC/vNff/31v34nDKr6/njPBwP6x9j/+7+P + Cvw7uSf/FgTx30z8cxKBdsnr8fc//3UI4e9vW1ff/n/3dfn4dH//89dK+XPc4O++7pP3/3v9X/On + /ee//g8AAAD//wMA7+9eyeMgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961c6b6d55b8eb-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:19:54 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '576' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - d939640f3cc7a11fd251ec7422fe6308 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get text summary, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created."}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file using the read_file + command.\",\n \"reasoning\": \"The first step is to understand the instructions + and what is required of me.\",\n \"plan\": \"- Use the read_file command + to read the instructions_1.txt file\\n- Analyze the instructions and determine + the next steps\",\n \"criticism\": \"I need to ensure that I fully understand + the instructions before proceeding to the next steps.\",\n \"speak\": + \"I will start by reading the instructions file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '4384' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA4ySQW/aQBCF7/0VoznbCAKhwTdu4VipVSvVFVp2B3uT9ay1Ow4Q5P9eGUNITdXm + +mb2vW9m54jWYIa6VKKr2qWfH/X35cNr2D0tXl7IzR+j+jJfLVfNj+VhjAn6zRNpOb8YaV/VjsR6 + xgR1ICVkMJvMH2az6XSxmCVYeUMOMyxqSaej+1SasPHpeDqeYIJNVAVhdsQ6+KqWtfhn4ojZ4n6a + 4NX7TZ90unhR7ipNxvM2QV16qyli9vOIFcWLb/COMEMVo42iWDpKz0LcTXDMGQAgRyl9U5QSc8zg + LJ4LtJdOzHEFTGRAPARSBqQksBwlNLoDjOu7kewFttYRNNFyceroWtcnTfuqUmxGOSbv/QOp6Nly + 0Yd8/Ydrh60sR1DG2K6q3B+9IKUSuGJuvXN+NwysneI+K4Vvkf5O+ZEp85xTWLJyh1e66YPOxJBQ + qCz3Zaa9QBSq44BIBytW21gN90wcm0CXsbaNcwdo2FDoPvKWDTa09YGgDl4TmdMX+EH0cBuxJvV8 + yd1Z5/479ijH3qBNLsdzXtrN7bCqqPd+W/AgXoVieHJ9oeu9Pr9FuUCcQM48ObfYJri1bGO57g8L + M4zia0zQsqE9ZuP2V/vpNwAAAP//AwA6tkHK8gMAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961c723e9db8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:09 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '15191' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86476' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.349s + x-request-id: + - fb7c07381cb16d986c67870da065c441 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Read the file + instructions_3.txt\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '273' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0yOy2rDMBRE9/0KMWvZ2LHTJtq1UCh0VdrQRVOCIt/EcmxdI92QQPC/l0Bf22Hm + zLnANzBwrRU3jH129+TeX8dudVqc2pfuoZvdr8JynpZvh8XjMzR425GT70XueBh7Es8BGi6SFWpg + yttFXVd1Uc40Bm6oh8F+lKzK55kc45azoipKaByT3RPMBWPkYZSN8IFCgqlLjT/0b1xWGsJi+99k + Xk8armXvKMF8XDBQ+mFG7gkGNiWfxAa5GnIQCld7G5QPSeLRXR+UsIpkG2XVzvekgh2oUWv8q6RN + lctZ1sgxaex88KndRLKJAwyS8AgNHxo6wxTT53TzBQAA//8DAC1VZVJZAQAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961cdfba61b8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:14 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '1995' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '89461' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 359ms + x-request-id: + - 2a29243842f43d86ed8f521a227768e0 + status: + code: 200 + message: OK +- request: + body: '{"input": ["Read the file instructions_3.txt"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '111' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RXXa+yvLa9379i5bnlJCIiLe8dUED5sEURFp4rUARRRD7aQvefP1nrSc7OvmnS + dqaZmWPMOUb//a+vrz9d0ZTX6c8/X39ej3H68z8/Z7d8yv/88/W///r6+vr69+/6X5FlW5S32+Nd + /Yb/Xj7et3L+88+X/P8n/wn65+vPKOcm21tTHnPjCRXYeFnL3IMsirHQMIfIT97MIFsYcPGaUrhq + KoeZ9cGOeRzYKnzkF8z2V1kOWGK9XBgh/0n2pFyjpXsyDl+ZFBD7wvNCXJ9FCT7K804ul0EaGEEX + CdrKpsZ9MczFhMhKA1OPPIZycCkoDY8t7B3nQ9zGX4JFUkZ3+5JeMUPnfRLMuG9dAC9cwfCSxIU4 + Z9sOkg3eMMPdwYZ3xieFzk2/E2Pmg5gI5L6+y8OQ4RLUQoy1rMFm0zfMf0brhmWBYsO4iVJSlqAG + zFzpLlSP80ACpsxoVtz8CQKgCnJYR59gATxbNLOIIizRuC9mXx6gVvheT9zd4TU8leOl04b51TDT + 8raIIYlHMOmlGitU6xA/zn0HjuDps53prAPaNz2EkhtxPIZPdZg7RmWwFbuY2KrsNB/nbp9ADvqK + oX12D5bp3l1hfn48iMlnNNBqiAwYo6Yhpu5HYC6kswtXugSIVasqmuXL5wrOQPewhh40oI38MUBe + XQlzs8ZuFPtZZuCVhZyuYuU+LH31ikDrNwYLN9cQ0NiOfZ0ryZrOaSnQvGWmD291+yFYdvpgKTHf + w4plPrmXLw4+obFQ/Wp/n7Gs365gyLsEwrCUSnYwV7tiU93iE3Q3+5rsj9FZyOvVroLRnNfMneu1 + +Pjv6AokuZqorpJnwSfxosBeZsx2b92LZZIZV12Z4RYr07YpFnGsXJ31qUeQfHgF80FbRdB2opHF + 8uGFRmppe9Dl7ouEJ+oM8z4LXZi+/ICERjDEC563NpTzWiNI2HAYj3Pfw4TGF+K9iA54mXw0UBqt + SdW1R1HnGW8VJLGzx+a0dDHHaq+A5V4pDF23THAVHAyY3A2Z8iB6gvkulyG83AZODu/HtZkuyyEH + 9CxhhrvaF4uSb13wet+Tv/X85ZvGEA7w6Hp1I4qE2HCTfV/xMMu7ZoTzbg802NSMqKoZ88Fbznpt + 0oKQ7K0N895XW9jfxhvbJTkLFjzPrmZOm4lq1mSgNQg+NnQg3BA3EnSYjfBxWpWLeqTqa3aGuU3D + HlorLyEBMxFaJ14pg1rEEZUH94KWPr5wCEwXUX607IaZS/2ETpBZLL1+HwDTkv0DNuFU0sXdWYVs + fNcpxLRC5DopdrDU65cMMUZrzCusFJ2jn0IYlemaEIXKweIoVal/KHPIQTKRaPEqbGFelYQdVPKM + F/5QXOg3oUHSDs5gYW6Kf9+n8OFSxIsRRPB5cnJiUnEI1pOmjpAr32s838kkqHMklaZLRYo3nmkK + qm8/HHhbK6XS7GIx/vALPkgIyf4SmgM31q6lxe/0g+EWh41i1HsOb3DRiHHNp4DPIfKhG1kN8fex + Fwiu5Sd44NGO4edkNkuwBi0MqvFBjL0jECt2oIX+Ur4oDDmJeR+qFrxbe+VnvnjB/HbEFcbv84eQ + G38AfrcKA0y6TIiXkod4P9dqB13tfmGm0qBAvB4fDibSnkh4eOnFeE1bCozsvjA/V5rf/Qhey+dN + JQ1VsZjlUtPefbL84t8wa6QYko10YqR8ReK3P4DfVipBsnKNRZ+0GKpHMVC1XfpYnOBxhMr6OLP9 + WroinuvhFZprtqNLf7sGE4GqD16rM2VGm6FiiY+0B3MqI5YVlhzTwfA1LUgeEd6cilgwOFeZ3tLU + xcpPPnwZKgpWfbAm5r14Nlyd5kr/nr0NlavhUXBpCnuwRNGJfvhKiGmdDhyWBT+xZB/ioD+tXQrR + iZjEf0ZJw8xHlsGkP7jMmTcuWC95G0EHUw2vb49QzEbYR5u3Et+ZgUmFBic7Vb/6ROd+1Yj+YWsn + SA+uzLzduC+4LgwLHqLmTBWzaAOx2U45oNANmeGcaDNNG2DBw8XfUzn2xobPnlNC9Y4PxJQP92L8 + THkOr8bRxFVz6dCyOet0e07PJrtqKG/m5TZI21IhHsM/eC115u3BML8bgnZsN/ztN9HpDtlNzalY + GvljbS9k35JzuX00otA6C3S+YpDDfhnEOLV5CMvB2BDvMpSNkLJ0D98xkamwljSYmlsog9T+6ORg + S1azfE/mqKfik5BDfq7jJUC7PVDd94VuVs5OyL94Yx0dMHS9ehAtOanwSEDPwmQyxPp8fVGIcKFh + IB3O4r257kf4aAzETpIUgnmJohI2UfViwdxxMUXt8AR66Ljk0Gh+MOfHwYBz6nZUirJ3s1y8TwcD + cVxh8TndAv7L7/fb0oi/lkwxfe5JBwXkAYvQWQ2oNz5aeIb0SciGZWJM+sdVz9hFMLS2YrSErz6H + 5V154e39cwaLy182GL79EY+nBxX8VB9LfdkNN7ygWSpGpZz2sO6UC94Q2Q24xK0znNrxyPb0UcXd + Dd0VODDLwfdMHIsRxn0J18d8xMBOnGYhVGQQaXZOok/wFtQPjVD/BENOLDRL8eLGRgbO1aIyZOpd + IC70ksLWLSf8uWySYtoyzwfD4ywxPLtUiBpyBc6YYGKRKQime29kei1bA+ZSQsRyWrsjjA08MCuJ + 5UCc28Mehop7+5sP36XwCsPtJWGIXXu0DIalQcmpE2Ju03czv8YLhk28udE1CTy0sG4uwUXPGvy9 + ct5iZFChML3WKdaqaxgLStETGlUSMiL1FRCb8ahtf/SHFMxsgklogQyS+0Iw9PResGEdLOBC/Jbs + trtjM4cYY5ggpWE4IKtgou9ahv7VNtn3h3mI4Xknwx99pKveixD3rWrRkWLtqO69L2JWT3UEnx8o + yDkDYzxM5qmCaXdDzIYdBhw2ogd9pzJ2H+G5WY49VyHoRUmB/A6D2cXAhj/zh5BCQmgsk1oFV/Ta + MjcwKRC5P0dADg3OTmi/Q0tSAQPeLyeZ4Pb71tCg61zgG37CgnT0kDiSroORzC54FSurgQV5c4Zs + +6TEZF2B5mPzUv/Of+G8tIZL+k0GqwURWg7VC0yX51aDJFLOZPdcvpsJnfSn5l9dk6Hu4wghN4YG + v+N8z9Bj46KNu+Eu/Mablh0seR3P62YVaV2Nn5RLdTt0h2DLtVu1xnh8TgUQnyDLwS/ext6JA2Gr + UIPtsV8xO4HHH/0UJygDa09nmDyAMCKcwu17a+IlTvRBgJMvQ1q8JGL7YRH86q9+x/YDy0Z7KsZD + MHP4M6+wopW7uDEc9QF3cxqQHZHbYOT3k6Vf8rNKThucgrkwL7I2SFFP7LqK4qXu8hQGQBNUfp23 + zRR9PhFYtvpEsD6chBjtCOvt1A4kiLTPMHPb5ODHP2LJ6gEazV3mw8ldlX/rz69eEW6rWu8YueeS + mEDwcbVzmprk109w+VSWmqpuP8Tkr1HwH38HZ19L8RyO8cC6LY4AMG1E4qbS41FHl9PWDQ9XrJ1H + paBuVWhgaIsjMz27RsvItp2m9tmdMuHWzQL05wlmzpixeBMawbz2shN8FPsPcUZtHbM3RFDzEhIx + I4hswMP7voeeIw0sDDmLx9k7lPDX7+0MOypEkA8pXJV6Q5WseQ5zlrwe4Ld/AukyNN3qCkrI1E2M + K+veox++qNC+7R2GNZUWvJXzFjYhK5ldDVaxbvfzHlRaeyX+eUxj9g6TUI/y6EGydumLcdVj6Vcf + 6Pbb5oCbu2gPutQ60SuwVwUPP2UJPZe6JMAcxou3VWygueqFXPfQDZQffwvdyGjIN38chsGo7g8w + tJcjCUWHhh89KaGj0xOVN5YD6I3lFRijFtCZz01DzYyMMNe2DgsJqNHoTKYFgTIFhMTmPIjvewjh + 2c/PzCqOfsyfuZqDj9LeyW6lrQHP4qMN5/qkYYWPb8Gn1LR+9Zcub7OKJ/ocfSguY0XC7Iybpc5M + HxiqZNAuUKzh7//4p57Mjr1woHVm7kG1XZsE/fCBuU7QaTgfdYIfzbmYDXi0YL8ptnQtXX2w0MvL + 1h9zfSBoExpI/vG7+k//4fdb9wrmA4eC1/uWsP8DAAD//0ya3Q6CSLaF7/spOn1LOiICVcwdfyIC + VqkoYnJyAogIiCBQBVQy7z4BO5O5JRJiqvZea317u40ogylN3Fqez3Pxv4BXVL+Cj+sXIuVUWMXa + QsACi1/xMHViZp1vNpz7K8bOUQBTmSYJYA8tpA9Utj6pHXWA94EmKBthXowDGzKZlfJEtZ31LcZU + vlfQXeEWcf5NL9aHoUlAMAQP0o78p+3D7SWAa8uL0Ai8KJ4YNQcQN3sdH9CQu+0zC6Hc3sQd3rL+ + 3g5rXupAtR/feHuDBhPKlnKLP6a71N2zxe8u+RMxlHfGtG71o1xGBCF+XxSAWENvwcdh/Mcvdzl3 + TJU5T1F3aq7t9PVPExxikaOnMZIZsYpTBQPtuqXm96EB4YAfPHjsKcaIPF8GnYLJg3JutYS/wtGY + NpsjVCQtS396Q9u1MUHhlun4ZulWK/inqoaDltpzvaCYRaE5QLFbQfrLl+R2/Cqf6eBhT9c4g9Xx + qwLi0zvQ7WkK2JwXRXnWPyJ3qlswScxKeT4PpHBaAboBqwI0vxKPZ/4SZzdhdCCSyBWtb9AAo7E+ + 8gA83x7dq1LpTluDV0HRJSd8y/ZZPL7UjpMPddhjGz2GmHnO2YF6VnvUPtS5T2xnF8BVBI6EMxOZ + jZUt2cAvzgE2BQG7A9ebNYz7w5Uetmxop9yczooc2Bzdl1U15//+CC3b3ZNpxWTQqbcmgBn5Urrl + Bd1dz/cFtC4XUY88gd/Jtw5ChMYjNZMiBYR12IR6svtS3RqklhzRXYdZoAFqpn0LGNSkGuBkUKlT + RXlLQy07K7x87vFeBGox3qdDCKZnLqAPYpovrIoHgqwUp8WvuLT0ryFk7/qA9Wq9b4fXSyx//u+Z + jp+226tUBEs9b7NXPefJOoW3/NtjQ4VFzJr3JvrptSchr53K9sOBxs946pXSVIy7NuLA3J9Rj4bc + YF9RS6B96wjZXJHot8xoLzCXbY2eXgczHtHjXMqz3pPSKu2W+Z2dwRUmHPVWXs46L3Eg8Lnkgw7M + AqD7PvYILnxjupypT+Z8DqNNdaAWn40GUV/2BDIh2+No5mPDia8vwNvxGQ1nvzmdRC+EkdfaPZSi + wh/1ykwWvca6tcvjcZNPiaLX2g2/onMSD6wuVOCRg4HPkhoUZR4r3qIX2J2addurd2WCl0F74G23 + 3cWflW1C+C35BLGn6LBmf7VCsB38AbHb7uiuWTcECjAjsPRjl+3KF/qnXrR17w4nDchwPl8c9JLh + jxbXCPANjjF239goNuCsC2JzZnd6OHsK6JN268HRcQBZfXI95ot2XwKbEzokXAfVGIauz+BBO1Jq + FNkjplHoTdA8phx14mfUDvIunuBq0jBWA9502SaxCThx7oca7+8M17yBQPJ5tWStV29jSruEh88h + Ykix6rQt8TvmgE3LHRqwSYx+QLdy0TNq3CBnML2rEKSG52Lk3/KWKu1bBVJCKLabNwKTRG4ymH9P + Vs9qXTB6W6lgmPyc8PdB9rtWelnK6NgAbXCN/fXs1xe9wxYhoz/4yKkgv+MeVAu+ezB24TWF9HvZ + 08Vf8c0QWkC92vLMH7qiqQKzhvX96pCpZqorhB8rgMdTS6gG950x+nljwsc5MAkE5jOmh0rWlzyA + HWwdYiE4NjxURe+98DfAUMZ9oXZuEnJ9OSufmJZEQPrk39ia8qgdoV2EMDtT49f/qJo9M1kvyROr + gOQGQ5lQyzSNEmrMeZKqWzEDb+7jz3zlBQiQqwrKEmqIFArHlgU0dSABwUhVLd3O/ayE8LZL4x/f + q99mK4CZL2H7go/G+NGVCcx+CzvqLfF/9Z2nzxfadtuPX6XNzYbKRnfn/v8CbLXdHaEdpnusny8h + GL+aCOEGxDsieY8iHgssBcv7FA0nFayxYxBoVysfa872zUaHLyB4XXyRDCBv4zEBaQRm/028nVPF + Y2ZlAXCm5E11V9LAsPTzyY5Eqm3Ckyt9sZnAKpNKrGf6Nh5F/WgqjvE4ULseVLaRr3YG00k+YeeL + WtDXuX+Bze6zw9YzsAE77/sjkGLlgtZ7DRqsnSwL3tP7z+8UY1U9eDj7e4yc6gOa1XiHSz6i2NOD + lqpHdAG7jjUUw8vDnf2SCp8vB1F3enCsX3ikH0eQjPfTpiBXgjL4qi2OOmeyYuQYlxnggWrT6BN/ + /N5CzAKWf4vx/nAefXYwgwFYtlyS5tnwoGPhnQeLf7UBnPwhRw2BsT498UE0+pa9HDMCvHu6Usf2 + G2M8VkUJ35nl/PSEdmaI4MynqG7BYzza8X6CbOCfy/di9pQ3HJz1nHpjKhT1MQ+OcLdtW3q4upIx + EH2y4XxedK/2fTyVpP+CSpyUH08bRHEXwPdBT8kYJvti7DdAlb/7PaQqyF1/kx0cCyz8aUgqg/Vf + jiGwzDvSORuyeV4Bii49kf4SuAYvX+h56YcU5QUfL3xuqVeswb3nMtGWBFisNELNZy4BFrqcCWY+ + QGae6m6M++0Cm2eS4csrG/xhPfL64q/wQ1vt/M1u5Ak4PLyYhpGGi3GFhO7Hb+Z5xU/f4OmSelRd + OQoYboLk/HiumqEg7ud+K9lFHVMNeLI/+2MOttGzJBLPHu56vj9ymPABPpzDS8GDSros+oT17wO6 + fXjts4WHoxfwIp9xSL3A0yXxqFUPsTvkbqnC5+O2o4fuSfx+ehQQLvxLP7WvlnjvPIQMTi61NIzj + oZUaE3KMnamm2Rf/N+/4TNyH7hraGMOQXC5Q/EZPIq9Cxub+qsOmX33JmKO9S2f9lek6j//Rbz4z + 0G9+JAufuzsseiak+4keTkVVdE891iEbhCeizSV3p3uwdpQVRwKseeI3nvbJPYImyxoyBLxpdBs3 + PUPx/LKo/jK+xpiVWxVerlWFMfdVGbkSK4feV3Tp1oh9t4lRf1n0gu4HZ8vW15UN4cyHSRJm2/i7 + qs4yHN/XAwIPP2A/vrbw5OhkFmA66M4FTHYoYk/Gp3iS/EFW5vtN5CrSi6FxNg7w3H1I9bKFLXP6 + CYHidFbRoKVvn1iZL4I2epRI3GYpmNpDGkqfz3Sllnw+Fky0R1455UqAgKvcwBQZ1VkZwsqa/eLR + H99S10HnTCeKjaYxOuH1FeDsh0mPyjYWZr4BNhxdkdcT9+DHM0IaMySvuRcgtWMPUIav11KPLRH5 + +Aw7yzbxtfI/7VAfeAFs78Ajo2Zf4qneuSZsSL9FZelfGFPSUw5n/Uf83K9HUpa2MjxXJ2w5a9Gl + 1kY0QceHGkWh4hbCrd8TOPNswqdS3jIFcAh+njJA73FjMcaFqQMvr9wn4GBlcfchTw/Eb97BgYm+ + 7bt4mAJISnNHT/cHisdyVVvwY6wwWjUX3RiUAzVlqcUSUfD97g/vXZPBMTBrHF7wYFA9eeiQeLc7 + 3RMP+33mAwEu8ztr0+pAMDbvI7Q8nNDt9q36G2ycINg/BBMbysoshpwLE3CPLX/+vxoY4uRrSpd9 + LVFvt7rE/GdMZLjVNUZ3O6ONx0fE62Dxq3ax2gJyc0gKZaLe8Kkwbu6g3l4XeJWeLT6cvQcbCb8O + wF48A8QWnveqowsMtNsWfRa/GnJ5DnLM3YjYeck//GaZd6nmI2vHoOZD+Bh2DEmhphdd7pY6ECJB + XvKFT072tV7mLRTJ3aYdjGLQFe59tumh6lE7HK/6BMVOgTTMuZfB3lQ5wkauJ6rbZHC7zuAgXN2q + EO/zenAnJ0hVeLYMDVVEtt1Nd3lFCok/HDbMoWtpevJKeL6eKrzwy/ZiZ4ninf0b4agt+gsfh8eh + tRCc53mdcuwmqFBnxK5rN4D6QnCRr5WIqLW+rly6KxsENV7p0Pg6lDGBj72o0P0aoK/4xkVevs4O + mPMm1fjDyp/5Sw3neRoS5vnzeMGRB0wN3bEjVZeYfKI7B+PG1emcb8H0BC8E3Izk1OYvqrGe9UvO + qwCQl1AYhqAr2Rfy+Fpjt9gKPgsTfJYffX7F2rV5GwsfkALdytDmM55nfxQ4wGwbjHfZXo3Zkk8t + 7tVR54tc1lf26MBzb68oFuQvG4KbX8KJjDHpVNf1WT/uz/ANzjHi5nzLEr6rQfA4jmRKTcIG6z45 + yl/LVsC///jzz/9bNgyq+pG+58WAPh37v/+7KvB39Ij+5nnhbyr8NhFIF2XpX//6Zwnhr6atq6b/ + /74u00/317/+BL9tg7/6uo/e//P4j/lb//7jPwAAAP//AwASNOx34SAAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961ced5dc6b8eb-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:14 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '45' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 4f05526f33549566dbf4ffdf2fe94818 + status: + code: 200 + message: OK +- request: + body: '{"input": "an instruction to read a file named \"instructions_3.txt\".", + "model": "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '136' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6SxOyOrfm/PsVu/aU/krklrBn3ORugqKIXV1doIiAiFwSIKfOfz+lb9fp7okD + TKGQlee21n/866+//u7yurhNf//z19+vapz+/h/fa/dsyv7+56//+a+//vrrr//4ff5/K4s2L+73 + 6l3+lv++rN73Yvn7n7/4/77yfxf989ffUNrcKUqxZi6lui/gy1hjoibJgc16wvHQtg8r3R0LZ+Bf + 9tuAza25UU+dSL2ci0mSiK/X1OXtdGCb0Grhs7VNtJVMvV41/+JCNwve2Ctwla/qdTLAFpoD3nkR + qhfx6HKwnW9H6lbBB8ztifdBJl9MuiemNywjNU8KH2sP7A/mDaywemqgyv0rRVKrAX6KtkgJucsG + LTzEgO1qEIKDV/g0aI6GyVuUIHgerhX2h3fIBgM/BTX0rx4NlEdXzwp3N2AAqg/dZyqJR+HopLB6 + Mxlj6rvBLDRKBa1L/ET8VdiYM5MfnDy90w326HbM59VeNQAKYUa5s7sGi3TkbZC82zvef257c77H + HwjUirRkkbdNPF7SmwHCKEOIy68XNodcloIkiQLCm20APnDjjbALxgIjkPPBbLCDBa8ePmITvzaM + BOAjAHV521SfZTMXr0nqQno+zFjrr+kwX7fPFD72yQcHtbPNx5iTC1icAMO6vWnYcqpNCSJ/GpHI + H4KBjWM2w7y2QjKfCt8U8DlMQZx+9lSz2zeYt49nCi9hodPQnJFJyj5WVPrhKiIN14qxjSpmsMn8 + HofnRMpXSVkSsJ3HAj/ux9ak01IranxdJ7TxdC7+oDHmgH5QOup+IJfPMbcUUN+bJjoGOYp54Foh + DKMU0XBToZq+KnGEu2gHaTiZc8AK+TMr73PVUX+skbnVOd5SFYhCBJ2wCFZ0OhxVkB8KvAtHbljQ + LMM/9XU7KG4+o4vOA7LZyRjtCi9nZH0Y8ClmZ7yv32LMrMyy4L5PXLQNx2JY7Gq3ws+5v2KMnjRf + Siz1wEuSijpij9hSHRIJgo1eIdngq5phqe7gfcp7BIabzFjnwQiGoQDQNmFjMLdR4cJlLHf4KvGZ + OfewXuHl6jxpmOCQzeDAEjidNnscbjdLsPDytQTny6dABGV9zPpTUUKZjBvs4ZDVBMBHA15RHVPT + nUqTvT3dVUPuvMFWwEEw08e2gCnyRKqdij6YA0O6gVpPIgLeZGHz65q5QPscN4h7oWmYKTHazYVa + L3J5DI9g4D+Ig76zbTHu66De1o1vKNtNoxIhx9t6IWE0q/EYPqj9tIZ4uPNRB7ULN1FUnq8mQYWb + wf7RxIS5eResstVVsHODEOvcrQTLbDkSzD7+AQm7k2Muz7M3A9REJs4Ki+Zzc9INdTnnT8QH3A20 + MWkVKERyRG3LU+rVF1ICC5ldsHeOn/m8eRIC58NtoN41mdjysL0SKjFLyGAUcJhtrr1BVbMMjD71 + 0VxERfzWvx3ivVVQMLWG38qD9C7Jwm5FvbR22UCRZDf8w6dFuScJmMT3guY31mrRhX0DxZzrv+d9 + CtaNoGSQu6wQI+DBgDCLb+E4Ox+yzmSOycxJRzjezg327sMak47vbXjdKxaSyHZlNJW3AlSkXiF5 + sc6AgYcgwc+pktFCr2swHloVAeekPLDO+R2jv3oNDKDT0PoYgN36TwmV96nDfmHhfMbHWgA9KRjV + dDsBy+0Rcsrd+7TU8S+TSQgSV9i4fIrD7hbXi2HtjrC5tTdqPxMzXgE2Vpg2Z4L1ImvqlcTnFT6a + XqN6v57r1RzVDpBynxG6Ee/1Mlv4z35Sy8g3+Qj35xNQ0ptLPRzGw6IubwLVG33S8PPWTAbh1VcE + 9uTJ3A/zMPbSfoZzeQmIIG6fjO0/Q6bcjKDANhKbmiU0blTLzXWi1m8xX7t+5WDWggNih4tnzuAA + TpD5oUWLixXnn4ftVdDbGREOH/cXINFZLOHN8AqKLkmQb0mYznBJOUaGA6tzcpIKDYAHjOiZOVrM + do9zCKXjOab2CvcxTfptC9VDdqIe19ZB5/e8D8TNSOh+TVHAzr1fKCexGOmuUdu4ofmlgHIJNbrz + IlKv1qZbodQlF6zzvcjG02Zs4fXZediMmGyyYZZWyL8lk15w9KyXLLIISNuW0OCRaGyG7iZRXnx8 + wXtvF+bs1polvMyZhJTvfq/RWaxgEj1k7HjzXC/VoVDA+jqV2OemznzXbd9Af3Mm2HmVJ7YUmpQq + 1wdKCFN6n80f8dhB2ck/SIrHwJx7XefV5qr7WLvE93i10yiE63NBaAsWLxYen26GWxINaHWmNp8X + 1RDAyM85LdBoxFtx33NQU16HLz9Jw9SIXQQu4U2nl89WzscbioQfniFVPFT1LL5eHbjc5xg78csO + GC90EGrWNUfqBbcx23XXEGqbyMRBRpucgbXXlAYMBOOnbAyLsG07uGRWTK9IAUN/OewKOPXwgHfC + IY3nk1t2qk0Fl7pq+6knK95XMIC9hx310Qysel5vilqNLRI2QGELGOpCFacIYm2Xg7iLLhDC9E0Q + EvZcFIzia+pAJp9NqtHj/o8+gGtUQCJ4O1BP0hHa8FKGNlpDYwg+E+VuMG0bgq/BbNbrF7/hl0+w + Pp9ZPHeffQnU8shTR5+aYHaSflZ0OrxJ7HqzWfz2tw4/dyJ02w1jzkcsIDn47p96WJwBSlAbyIIi + ESYm1XfrCBdDpTQYbjJgDrnfwACghl3mi3E7XcAMJ7MH1FVPh3qWmDIDHt9DbDp8EM/XSjhCUAYm + 4s/PrB4HX+IA6zwBlV+9sN4iOYPyVczRWMhnxrL8E4F29/4Q6RS/wZw8Uw18zt0Vp2lyikeutcY/ + +GStxIxZB942YJsoQ8uzudV/8CHk/SP1BoQZcU/TSX4+8wMNuGprkrOxC2FWnzdIPIUVW/r9g4PZ + xz3QLz/HM4ueLnTepwM+J0/epM7KbgBL14F6drTWn5Y+MnDI5hu9juRpzoOaSPD3fQgeVcAokk+Q + jUKHNvLJyCfBBLxivuY7UbaLE6z4bGWgurwceoy40ZykS2aBiz1QtBH5Jej4w+0IquTxpqETFiYb + ru8OYikfSBnsm5yoZ2wo0kXbIe7WNPUaiAEPQZWZhH313TpvPR9YmcCQeHdr0F/CdwG/+hGJcYzM + 6avPlbe+NtRGUWdO93VAYHfAN2onnWwu6a66KehmchStS2AKUX2twE3c89Tbpr65SKiwwVH0PbLQ + 6zFg+0+dQuCpIXbyJBvm9P7yIeGVkNpE1tjazyKC0mHPqLFoXf6txxXeXqBCKuS1fJtF4QjlWT9i + xNL3wO6t0KvZLt0T9tY2wzT2rxP86kECVt8y5x8eGqeJw57jvYNR/zw51cp49jsPw7K8NBdeRzXB + TjvoMTsechvivh8IPCdpTMwl7mDjCinW6XU1ieY/fGintMHaqfCD9QhdCUxqan7xSo3/8G9U+TyR + r93rTz0qjnCtqaPxtGZSEfXg6wfw/nBX4zWqDxX8CKaKupirzbGt9QgOupMiFs5hTbYxz0P6phX2 + I3xlyzuQR5CXXYZkdSJfRm8VkOL4QjUfhDGr26qB3/eBA6OANWvmK4G8HJ7p4c66YDTY1QbvLc3I + 51uPS4nnThka8UY1/4TB7LeJD5/lYaFmNeQmvcw2gXef2dRh5jGmv/sVNtQRu7rqMPmanSjd5nOi + ximDAc0uwREO7wPCtl+V5iyxdYbsEydkEjb9sGznewWl+vOinryxB/Fqvgx4s7ICh+ZMzOmYPjt1 + n8wCPudZN4zIKggI91yO1u15BOwYqhbgdCaRN31X+Xp5HFu1gQvCWimAP35SeoR7DxdfPbTyN0kA + TRD5OI86gU0PfaiAu68cbE2rkYuIZRV842eNNnyq54uUzxasa8iTQQbpMHEbyMPOMUeyyvATU+ez + KUA7LA/s9kjIv/gxglo/RdQl2yNbNaS6ijUdX9iR/TJYubfiQsa5CpEoeceMCFsDhk9SEnko34xk + ksdB2a097P3w+WzsEYBH9iYwwSFYf3pJaIYT9U50icngshIWo3FBM9XO5mz2dwtEr9FGHPBuwVwK + 2g1qWfagocu947Y2zZMqeqWEcarq9fZ61UbVv3oS9qPnAVAoAld5VuVCg31ogzXvKZSHZnvDWixO + +SL3cwJkyj+o1naWuW3pJQP5td5SzKfPfH7ZVIOnk+Bir5WHnGmTkMJPMw00d0UjZlAEvuKHVUru + X386wry/AWqjglqHMDHZY6/Zalf4EVKcaDRZmOx8MD61C5Kj0WL0pbgC3EUOJPGZew2smQ8j4NRV + w7a41RnxilsBUCCGSIk7NSDh7qqB/JE46BVyQr30+wsH9Rop1C6DhM1mf7ahYxQTkc+xHs+X9umC + L58Q6I40//lleCzoEa1ffzhHfWfDcA/zn18Caz9vkBI7J0BvX3/a6QkngL11tqi9mhKYz9plVpS0 + cDFyFTnv9fs2hTthp6HZbt9sTivTVR9FD2hwl2E+HuUyUb/6B+8yDIPZ6z0NumtT0KDR/GBM7y8X + 8vq4p6f93AZLcCtblURahy3todWi4CspuL3kivABB9l6JZkAhppCxN7aYxjF16uX1/am4b2QZ8Ma + Faz6gw9Jr4X5oErkCN4HNSFt/pyG/p6VJTy7K0c9/yUGzGWkAfrqZHj3oPtgTmJDgYmevbErPnIw + 1/5VgeKV9qiUDhmbN5QJv/9Dv37EZEYQCMpbEBTETW0xzDunKn/4RmikawN/iTkD5tfnlv701Xro + +g4ag1DR4MDMfAluXQtbYjyouTesgTfKFwSZcqupF160eG0UHMFv/VCP33/xCMU3WCRmTLHGHcAs + z47y8xPUa895/s1fNKAgsNBgOeB6fb8+Atw1M8GOfSrr1hzVXpEXfyVza/Hm3NbeEbbKZ0P3XZ0O + y/BZQ2U78DJa2vshWDvZtWAxahd6fjUVmL75ERDZUUd8996Cxdh7R9iXUovUsgyDr19IwFYNAhps + 21Pw42fwXGlN4CZK6rV2ngncYdnDP3+7ngN4Up5MNJF40RNzPAG7geWgdTS6vLZ5c3LLHuz4TYnk + L78t1FFWmRxclzpimrAp8j4p1N76hmyo3wWTsx0NqFIvpjZ5d4z86gECdKcYFkpMbB1bioke9h+9 + Owvlrfo9L71WTcuW5XjW4PTONuh5Luq6/64H96L2MbLEECzWa+7UzeNgYVKTW07HN1x/+gUfv/ww + FveDBWfewdhyo3PwzTMUaF0OTxwewzJffnnUZFsTkU/uidFTmZ/AfndrsCNJbiDeW66Hhury9Kpf + uIBoz/IIv/qRBkXA5+vrGLRwLQeCQ6dITHZwBg4uTv/8+mmPCXa8hlBJtITelpQfxvSKXdDdtZmG + +5cJ+IAfIpDP2xDvHzKOp+pQSH/0EhE3ljnt0qSH3/NAQ3fE+aweSaGABxdh4x2sQ7+CXfbLz+j+ + gu18rbnXET4P6EHEW8PYN3+6qS9R+KC1aoRg1JpIgM7x80CvB53MNXGSE9yb+4buG8Sbv3wPHkab + /PIItoD37gYFObGxQ8iefYwNRaB0M4saNr8wloYfDX75jYi9c4jX+U19aMyjQ/23FsX8yts8GD4V + wtbe+9TMEa8FnI9tQK1QXIYPnhwbfvEV/faPjy48B9Wat6mlPcqarsU4yg9eWMkxNIJALOTPClrX + zKlv7zY1i5vlBL9+ef/za8snWzj4w597g/jg6/ejP3pHsvPXQE5SYvzyECJXR8QIOl0j8diQyx9/ + RLRnF0F7CBJq77nZpIX8XH98in95HDuzpQUqDWJqRBc8DKh8pz/9jPVUYXV/CnQEH3VVIvVzm8wJ + yHOrRsX7SZ0nLfM1ys4VoKZaUI0zazZ2jyRVvnnS189GA+VsdoMfbfNGEm9L9Vit5waM8+5DhofV + McqvBvzpx2/ewIbxFew0uIrzEZuWXQ+L721vcNb8K6oc+wPmXahV8DAhRK2CsmH56llg4rb9Pg8x + F908+nCZjz41M30N/ujzL3/gYDnQYeV3bwJvfXMia2e94+6sXVaYHfWJailDA2iqsAG2W67YV+xh + mKrsKKntKG3++HkBprIEXQ9usf1osmAinNnAt4USvENeHaz42qeKpd4vhHMVOZ5h6RaQfysmtia0 + xuzpnUO4ngyEMb2VQSc7Vwuig3CgOtzAfHyCQwP8sExpFojdQBr3VICubEyqwXYTT0SeGogV8U4e + 1HdNpurVSfX9Q0p1DF6gN+auhO7GDKj2pLhmh1DnoD8/MLaUhbJ1W+kclFMKCLd/bhl5Jc8WfP0b + Wd7J61t/cgKxat+xce+2AaN+noDzWjnUao5L/MVvBFJZK2k4waYmR+gq8HpbG7rLM3eYf3z0MXYO + tsXDAbCnJSK4VgqhHv/YDpP1kjqoR8ylu9yd69V4NyX45oE0COM1n7UkIOD3Pk1zT9jA2aCA3rvn + f/djLD4ipHzzISLGL9sU5nnwpbfAK0h6yQdGRuteKl9/98ePUymYSiUQ1Qvprk+NCdx79X96iwZb + KQwW+/6eIZimCIk4eg7jaisG3GbVmxpnURv406ZpoHAqKrJWAgmYVfQWVMuIx9n2QX95iwAfxxDh + WDBRvM2vjAe2Ha/U2s/2T0/f4OXWsa8/euaframN8Kv/CONsBSzrLfSBft9vsft6y4zaH+sEmt1d + IkDZz/UccscMfvNV6l9pDwRm8Q24F08f2/ARmIJ7NRNAP7DCJhYvbKobX4PdPG9J5UxtvDyNpIP4 + 9HkTduZe9WiHoAPdIp2pe4odxn79iC49c9QGbZJPGqdBeEh2PQ2czycgZ2Mf/vQ7tfujFc/H6hEC + qo4t3TGnjKf92+Ch6h8otWo1rJdb1nIQMHImm6dcDc1Udwm4V9b9y09avq6bOgPbrHxjbbcZ8uWA + lBJ882lqfvPAJUiNFj7wmqPikgz5agFjVb/5LsapNQWsT/kKfvM1IgipGhPFW3p1uFg3GmpGG8/4 + doTQNIwr/uaF8ZTUGwMePj0kCyNCPWB+18EiG3fUcE+myVfTplUaqiHszTcvYM0ACGxv4x6HnQ9q + cjOaCH71NL6dkzRfCrILofNODtjgDnuwmjWqIDYvZyIImyujzb1t4U7ujtTVPnBYwqHk4YPnV2q0 + Ry6Yvvk7lKnwQBv0xPniecYJvGNboNbxUtXrvNVd9dvvQKIkdQGr03Oh/vJGw9ifY0a8LoR6AGqK + L4GUE4D9FS72UyerLxa58DtP00dYyDZ58sFXf0VwcsI9etb6M/gc4qiEKzI9uvtoKyCbKThCzml8 + HNHjFLBia85wfZxzVO7yPJ/5LI3gmawGNSdnH8/6YxWgOOgQzd/+BBP8NVW7AURYy5UrYPZUnYDT + ooUAE+imcH0lAoTvISDSV+/2v/z8mw+T+LBbzGl5uT5chvSFdwQNoK3U1YX24CW/foq59PnLhuq+ + wzR5DQ6YKfFbwAtzjaS2JPHs06MPtzMpEBAWrZ7TQYmgv7kQjMQpNJf1BY7w9341dr7WbW0Gya9f + R+TZX4Kv/5fgs7VMem4cLl4CjFrl7EkFtrz8Wc/7za6EoEpNijw2gYkYzw5G3qSisyKdAI/RXoDd + 3Zi/+umUs+W0bWGPjjrWjEMdE3Mr9zAe0QO7J8XKp08mQyiWPMYHewoZqwetASfhHJLPt7+wNu7t + Br/6GgmX0AtWSZET8PVfRC1XK1jyuodQiZcEB+Grz+dVGnkw6VeAnVNoMGL7gQW2N+6Kdx/ZiWcW + mi48VS+Xuu3a5ou3LxOVun1ENcyXYE6v2IcceGr06niOyaaNrIHYLXJqe5+hnrAQWLA03ivGkrcF + C7aiSP32E/D+qOhgaz2PvTou2MO7V2OAr989qd/6w3aiLOa0f/v8jx8In8dmzeufDwfbVbGwYxtd + TZ/eGcFDV9/wHsW7nGkwKMFXrxDhIRyDxTxm2Q9fkDIfBLN/7V+NaoeWRX/8TK2issFhChHVjIMZ + b3958qAIJUoHpwcsDZ+akuqTj3fQJuZw5N4SOB6PL6rzkAK6CcNGtu9pQiN1CZjAYp1AMRN9JOnV + Yi6FCE/g5xf3R+XJFjxhGzBVz3Bwl28xuxiyAtJzdPv6p/uwjCWHANs9j1ir9PfwzeszyNMPR50U + 05g0h6iAOv8Mqf3Nm1cHn0I47FaffPMZRj9PqYIfKVKp5eX6wPq310E2QZdabrQ1WfDQffXv31TA + f/7rr7/+12/CoO3uxes7GDAVy/Tv/x4V+Hd2z/7N88K/qfBnEoGMWVn8/c//GUL4+zN07Wf631PX + FO/x73/+2op/xg3+nrope/2/1//1/bX//Nd/AQAA//8DAMTreL/jIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961ceecf67b8eb-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:14 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '19' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 5493bb4bfa500c5e23dd98b708655864 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get text summary, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created."}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file using the read_file + command.\",\n \"reasoning\": \"The first step is to understand the instructions + and what is required of me.\",\n \"plan\": \"- Use the read_file command + to read the instructions_1.txt file\\n- Analyze the instructions and determine + the next steps\",\n \"criticism\": \"I need to ensure that I fully understand + the instructions before proceeding to the next steps.\",\n \"speak\": + \"I will start by reading the instructions file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to read the instructions_2.txt file using the + read_file command.\",\n \"reasoning\": \"The instructions_2.txt file + contains additional instructions that I need to follow.\",\n \"plan\": + \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze + the instructions and determine the next steps\",\n \"criticism\": \"I + need to ensure that I fully understand the instructions before proceeding to + the next steps.\",\n \"speak\": \"I will read the instructions_2.txt + file.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '5352' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA4ySQY/TQAyF7/wKy+ekakm7QG4gEIu0FwQUIYKq6YyTzO7EE8042pYq/x2laSmk + CLj6ed777PEBrcEcda1EN61Ln93qz+tX+i7qN69vv9xl9Y0r1/r9+sO927/FBP32nrScXsy0b1pH + Yj1jgjqQEjKYL26eL5fZcr5YJdh4Qw5zrFpJs9kqlS5sfTrP5gtMsIuqIswP2AbftLIR/0AcMV8s + li8SvJhfhFWWoHhR7lLK5k/7BHXtraaI+dcDNhTPxsE7whxVjDaKYhkwPQvxMMKhYACAAqX2XVVL + LDCHU/Ek0E6GYoHvgIkMiIdAyoDUBJajhE4PgHGTzWQnUFpH0EXL1bFjaN0ca9o3jWIzKzD51T+Q + ip4tV2PIx7+4DtjKcgRljB1U5X7rBamVwAWz9M75x2lg6xSPWSl8ivRnyv+Zsig4hZes3P47XfXB + YGJIKDSWR5lpJxCF2jgh0sGK1TY20z0Txy7Qeayyc24PHRsKw0des8GWSh8I2uA1kTl+gZ9ET7cR + W1IP59xH69w/x54VOBr0yfl4Tku7uh1WDY3ePxc8iVehmp7cKAy9l+fXKGeII8iJp+Ae+wRLyzbW + m/GwMMcovsUELRvaYT7vv/VPfgAAAP//AwCbQVH08wMAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961cf1db74b8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:31 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '16004' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86473' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.35s + x-request-id: + - afbc07cf3229ad67b238205f07128b91 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Write the + task_id into the file output.txt Shutdown\"\"\"\n\n\nCONCISE SUMMARY: The text + is best summarized as"}], "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '292' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOwUrDQBRF937FcNeTkDZjLbMTROrGjaALkTKdeW2mTebFzIutlPy7FLRuD/ce + zhkxwMI3TnzXt8Xdyr/xib3vnIlPn6/7x6/V8yG/NN/38wdo8GZPXn4fpeeub0kiJ2j4gZxQgJ0t + lsbUpqqNRseBWljseinq8raQcdhwUdXVDBpjdjuCPaMfuOtlLXyglGGN0fhXX/FsqSEsrr2SxXzS + 8A1HTxn2/YyO8p9z4JZg4XKOWVySSyEnoXSpjynLMHqJaaeE1XGIQkoaUuLyYR2DiklYObWNLank + OgqKR+lHKeUkyqVwGSeVm1ECH1OJSWMbU8zNeiCXOcEiC/fQiCnQCbaaPqabHwAAAP//AwDS2fYx + bgEAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961d64efccb8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:36 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '3063' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '89455' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 362ms + x-request-id: + - 37deb1e35b3f533f3f5147b0ca370ebf + status: + code: 200 + message: OK +- request: + body: '{"input": ["Write the task_id into the file output.txt Shutdown"], "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '130' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SZWdOCPLulz/eveOs9patEpoTvjEllTBAUsY8AFUFRGZJA9p/v0mdXd/WJVSql + Ge6s+1or//1f//zz77tsr9X073/++ffZjNO//+v72aWYin//88///q9//vnnn//+vf5/T1678nq5 + NK/69/jvy+Z1uc7//ucf8f9+8v8e+s8//9are0o3qfIEc7oHI5j1640kYyUPE5fLHJ5tVFMrfG2C + +XhFI8BWQ6h7CxwuLVnkwHpuVkhRjMhmlmIT8Co+PgItvPFZ1xHSJv814sgnl2ExP6CBFZXu2Abn + ZpjrHBlg9ZgTipA2D2yjDCGEmzCn5WsaB0LmrII38bQigpE7gUzEEwJ23Oyo396VgRcby4J3jbwJ + lIAXMH9zYTDBlkw9c5/yWQ6dN+RnouLgEe3a5bnSM6jnZwPvbNCny6o6FTB4aiO155PaEpkaPtwf + NBNB5NiB7Oh7H5SX15asDD6k43DzIAwPhopkqyyC+XQlCJxNtMbWYzADqbyee3DPngW2dpusZf3L + 7aHSPQaafudL6XsY4eWzyslapWYrnxmLoeDcG+rivLDp9dmNMD86KXVOBAO2L0ilWmFqYJMnlr0o + KwzBem8wuol2BDDw5AyqE/vg/dpuAXnDtwGYGEs4KxwCFkfLC7Brwgc+q8BpJe1VCwC4do5Wz7Nh + i8r63ANF72dq09OjXejx2WkvPkKaTe84YGbJD2CS2YgNXbVLBqMVgeSlPTBeXWK+5E8mQd4tJvZ2 + TRzMABICx1cDcdDCG+CUNQWkSOjJ8l2PWQyeLizffUueHygBLk+yBUkhVzhQaolzEpYH2HdoRzfG + piznvFBzbe+JD6J0EJTL/Rb3YD+qB6JmD6VdXGy+YUErlW6S/Nj+7cdjQC727XAoZxcGV007qwEN + hJkHPKvTHNa87vHFuozpVNkHCaLjkVAzGaN06WOVgY+0xTjwPNOeIkPOwEMOFyQWqzvgYXLXQHyi + Jpnx2PCeawcXeE0XohmPFmfhUXuDppwn8lbqF++jQa21T7la4d2FvQOyXG2mX1QjwCc3BHzuddDB + JWkAUc09BzzhnQPzYQfwNk1Pg+w+xYe27rd3okEJtMx7xg381iPS6SFJ2fF09mF4sFRq0O7NWeup + MdRKRcKnllWA4PFswVByK7zpq3mY+e10gH3p9kgs0Krls2p0WtwsV4rTri6pCed+pa9uW6JchsMw + Ub/zIXf6K1oew92eP9FsqSPrCPmswLmkkaRAaN8ub+oImy5dwI6E0JYfEQKP6DWw8PyqfvtBo3ah + 9jsWrhYErpljY79nLUne5A37Y/Ah0/J8pDN+bnNVioI9dWrWtss1066wwuMHkZHilFf7owVHdPEJ + HFwhHe7NuYAuP9/xpWu7crkJQgbND4qRtE8t0AN7znXFuCyEnAZ94I6+d+FNOvbUccddy1erRIEo + OhTk7eWbch599IY6yk16ckdpeB9ap4ePIXTJWzEmeyqDtIGRFWyxQ5eB89pcueB6D05EuExbzpOg + R2A20hqjVeOkMyM6AqSSdzSEo8/HjJ56uOd6Sc39KPNeHS4LDJD4pJvMa0rmPfMaln2P0HpVtzbb + Hvj7p09EST5jMDRFMsKtLdyQwgUCqFI4EkxsA9GUnh7DcrPdBCD9muDveRiYPeYI7kgUIXKPxmCa + tnsRJIVzwJs0D4Lv+H3gvnIZuxIO0uUpSz2MHH+mCGs7WxqYIABaGDuaT5HMif52r7AR1zfqjleP + i+GTGfCrH9h4rncpNxXKoL9eRBpGTjT8zhMMJb+i2HvI5bjAc/bTK3reWEYrnbx3pclpYWOcHnMw + 7jzD1ZtRDPBmKyUpi7UPgr497HEkSgYXU0kSYTolkCgKBcFU51sLfPWGrMIjGmakW5X+2OwwNeR3 + B+Z+o2UQ0N0VDZz27TAq3gNCnj0Rb4/bQVw/xAV2Y6MTKeOQj30jLSAwxD0tnklRMtauGezUboO3 + D9kJprn1CDxmjyui/fmW9uljFsFOjXskVettIEmWVkAs9ntq1rcpGClQJShG0o666cdspQdeFpi7 + doD9Ip7BvOVTAuqqamk4qEZLj05gwf1BMWl6fmwCnt649tcfrREuJTWNrobXs2tjA8014I9GUWBS + 2ney8Ai1o+NcmeadGop3xSoG3Jf2V+1yBQA7on0pFxRIDIgHDWG0/dTluHlPIqSFtaMh85OAen5A + gGbJG+rYpdGOzXFkcHcMKmxO5oZPxtLFcG1b5d97WYpUUdvsJYg3u2wKliXJE9iG0KZZtd7ayyZ7 + S1AY+y3enciVT8KcjLDFCqClsM/LJa7S/tc/qfE8hq1cbHwDOJTmGHMwDexjqQ/AhfnwPW8BWNZo + UuBmy29kvcsme+lzdtVxfLfxKdL1dNY3DgRj2SRoddwWLX1qcgG/eoLEvY5KPthrV/evZCLdyXHS + OW+ULdh5/oLtTf0JqE4ECxI8r2gQfrqUJZnaQ22BOt3pUmMzVhtQx1PnI2k4pcO8tkml6uDGCAtq + xAkKhAUms1vi3WYc7VlQ9wU0FFtDwqp5pFwfvBC6ZipgE5dlOdsgrMCivkzyCblsL/rbqIAqz29q + VI96YK7qE/AUCobmbgUHPhpuBiwjPmH36JWckVP/P/Vkiy4DlMCjAtsC5jh1DIVzHiUHeJNzl375 + q/1wehhhLPAd6WLu2nMz3ogm3eP6rz5lFZ0zsJ79N7Zun6ikGcsXzSAGIPNJP9g86kAHxVG9Y6yG + Yrtcm6cAmesesGVu7pzu1G7RQGgQvMk9uWT1Bms/vcDbZ5fYi2qftR9f0pCc43IOwncOhusxQXSl + DwNT9PygHekbU//ErGB+jqsQfG6rI91cC96+U2CM+rUNLOzr0j6Yr6lKIFCCmPobvWnnEeWNhq/3 + Ez7tiR8s16vqwtdrTGisved0FKS8h4YPA1p8n//1c4hfTw9jaXTAjO/7ToNb7/nVm5rPH4+62mON + dxhn2ziYk/NSaKXduTSqkj7g5RRpIHvNJXX2Okl/4wFVMKXYtgybr09keED1zgyK89M4THv9IwAp + DwmuoodbshEkB5h95i22au2QruvaGfWvvmF3iCw+CZ+DAUPF3dHw3HXpENM9A/GZjNQv4j1/46zw + YVJsDzhYzW4r5Z+ph8vYqoT6zmJzvt+5IPXDkKbNeuBkWBsS0Ks8w7djdyxn7dBL4K6MOt3cAx/M + bT418I2WnDpIb/kcvhWmffebesasBuS5WmdwVyOVumFOwff8vkF9vSLsuKAADEYy0c9F0mGzvckp + y0Ad/tWb4r3ygYfWo/nxPSkPRcUn6SZJkA3YwbZ6lgfiUSQB+1qX1JjlTblEw1yD2y6JiRAWlj3D + WhchiaUrRmCW22Uf1z5E3slByWsISpbveAzdOJvROy8mTpXeRxoeuhvGDNilVAOvBmd+yP94msjN + 6gHCzHpg9zKILV/t9j1cpu6ETUHcpGI2NBIQG61Fyr26lyN4AgYrKt5xeYVGu5TFjv3Wg7CDteMM + HqUCboa1hub1MnNy8t5X8OWpv/617JYZgapgW7oXlypdpAVCgF8vjzrC07TH4rBN4Ph4OPTmO0nA + rUpQQAxE/F1vzMdVct/CIJQ0oglZAEg7DD0IkPSku/Xhk375s4f+m450470+7dOwWgI+G3jCyc1b + 2iVctaMm9kCinmMFwVycdpYmizeXbrXeHqTv7/3xopmMUzrX+daAg3x2cMHEyzC/5/oBVZm/CYyc + afiMFoYgVwIbqXfZHZbCMhM9i+mRrHs4pstWeBB4jvAVo0t1Kz91vMtgs1k2OMw7xgcTqm+wbC6c + zNTUhkU7tZ1ijHZM9P1NBF+9eYCP6DxodL4vgLfCnelVvpSofh9le27YvQM/XnA25XEgnhzVYNp/ + OA3T4weM54fdA5/PHjVdEIB5dwMOjE+TiY8sStN5Lm0DkqemYkNzs//hJVSXAQ5e0Z6PhzKCUI9O + LTXx2IA5MlYZbPYLpWG+lQLS7KoOnk4gxd4KqCkV1Xqr9124w+iDe7tveZ+BmxtdqBsq/sAyfq/1 + O3ps8e6AVP7l+Vo/l5gj5R6cwbzbrQw1zZBE3UU4lyzjnxquZ/eNT59kKJl73/ZQKToT46zzuaSC + 1IXguK2pJV3rYdD6zwgL9aYQialWIPWGmEOveYQ0r+F24I65NcB3fEQ5Fm06FS8nB2IgVdQKpTzl + PCoyKBw7A2/qIbbfZ9GzoJ+MDkWCdQjm1f4m/NVHJEtBIBPn8IZc4AfqjIvZLt/5alVEBKI2J7tc + uL/voL27Hn/5gS0/fShB794SMrtgAPPD4QdwsUDy9Vcm+I7P0qQGT0QvzTbg53jdwMnrb3grn/fD + 8vVT0LRcn26DvTr89Fi3LzedBh/BC/h0KAzQeVVEi+pOStZ6cwKnXS9ifJPngS1i8QbheiegXKl3 + XDofeaU/X1lPiOsVw5w3zIHUXX2wLz77kh+w1EDh1glI6xa/nfu1qMCDdcopvrvKwDbGXVDbZjUS + qXAQl9fzp4Ac8g9Snb2QEussuVpdXBW0PnojJ0FwimElr9doVb918Lfe3/3+69+fKBYJzCoqEPDV + cyZ7tga+/piay/JKl1eewz++//Hl188WMBycFZKFzbrkh91K0qaG7ImwVfgwlWmC9OJQXn71lC6F + 5cUAfzoRTfGqCOZpe5Zgt6sa1GrqC/B3mlq6StmBxhZ+21wj1xo6+ZCQNxcQaFM6J/D68nPqu5el + ZGW8r2DNm57opj4P4/SqXT3h/pbMyTiVy9cfwyK9xtRujrM9+vrJAPP5uKdRfFuVsx7ZbyjfipG0 + QycDpjyrBOpVkSHWOrFNliSOYT3XK6I/bcn+5jk9UOa3i+Cg1sNsWMMIIyMo0Srrek4Ed0PgsNnf + abmuw3Km2/mg//gt/OZDU6PUMbxPQ01i+XRLR/WYaVD0xJkew7wGywY1LmyzlUU9zZf5wvYKg1// + is7zOeDru5OK4H1fe9Rz9tf0U9yi8ecPaRzNQ8lWfpNDbNWEovVsgRlNkQM9//ZC19fVTQmNOk37 + +gWKtnnO53CcOvBI3BPeqj36rnfWwO52WxNmYTegX78H1IRGeCceOOAs1KQ/ftmP9yFYQnkylK+e + 0ihASvmcpEPx8w/4eA96Tn1pX+mtYLr4/q0XFl7mA+yNHcLm2m45ddZFBYOzZmH89U9sDZkI79On + xhERT8NSZYnw40m6lc5VwJzDwQXfPAt9vnovdn686GpGWuqZMxo4KMYDXG9WKREvt3mgtSn7wCub + Dc4Tby5JsdgStOoCkwfSbS7zTdprdzimNCZdWvKLdz3ATmoh6thbG4gtbRsYtKqJsZPGLQ+6yoHM + 8QXEn9t3yo64uEKy4SZ2Yj0H7OpqMUhMo8XHFZVKNtpnRxPTNaPbfWpxfmZKAgWnbRDxPj6X6LMX + wJevcPrs2oDTerK000Mokbwd7wMLPqOo1Xr7JpI/C5xdQrqFQPD32Lt1Y8CMgY2wukvRLz8b5vVK + fcBOaV80WO0jPvK6voKv3/yr9w+aNltA/dXh55/BFHuXGn7PCw7JmaULfmMfPsuDQcT3XbPng+Qv + 8Hh4cJqvDLlcskvyhm0h5EgvzGjgU74V4cocG2q65T7gqHS3sMpZSbHJa/7tVwfg3CcHe9nasImy + 247wUJ49BHY7GSyrsWIwzUIJV8P5Ccb6GCXQf08jtRSBlZ0RDS4cjUrC9om3Je9TrYbkKi50/4nP + dr93Tg+oPJ4G4aLLOPt6B3gEb5XA6ayBxelTC258tsbOAfWA6LFTgGTlUsQn+VDSj9w72v4DK3qK + iTgwNsAK6ODCqPXShLZnJih+/va33+W8O8ECbkXnhIPXFLY0lvMKKrh+fPmuTRfBjYh2JK8ZvTbj + GPBuZcbakxUV9potAOxq8AcEmT0h8XPHA2XhIunZc2bU21j1wD7bLgdwjy2MFkOy5wNxHJg544AO + X76VHjfm67/1NY8XZ1j/8snqLkbY8xttmJkENHgqtQ91NiAuwe0+K7AYLi0OyoEMTy0cXUjVzR1/ + 81s+X2jzgBZKBoo8Lw6m93Qd4ZdXcIRufilm8jUDpuX71GtOdip1Y+BCzJ8ch2bTp/M9TGr9tk8x + 9gaXlotemwt8Ve81mtDNT7nnB6PmxoeZphaWbdYvogtzKcip+eUt/npFIez2lzuR3wtr59f6mMPH + O1iR2jU+4J1y31Kf58OR2s9j2c5byiowsgfBeT2s7L/86SM5mG5ewW3oQKA4mv9ZfGwm4dIuWAkb + UGSli03h4A/Lrtca8PXD9JsfAL6+jwYEyDj//ODXj7OtfuiuHRG/fv/Pb/7yyHo5GfbStqPwWx/q + n1brkpruE0EJu5DiY3dMe8i5AO/+g1E8+GbL7DFGsK6uLQ6frjf88mj9MUczNpBx/R8eWOI2Ruqu + iW2x9vaLvrmtY2oH8yb96nENM5eY6KRvVpxmLF5gdqUfatAtsrmSbH11ezY0Aq6wHsZXc4p//Q4N + 41XhY/hkFpSHMkO69mpS+irPBCpli4i4ASwdv/clkKOhwugj5Pb4/X8IL9GAg6TYcTGy3Ct4jMHx + bzzyco4k9X7so18eZX/1r4Lf/BHBu3xqX7UUdPB2TJ5IeF3f6fye3x2sgBwQtemkllef/VZnUnz/ + 63frwLkTvTTuK+p+eWg47GQRdv09Qev8kwTz5/yodcJghjfSlbbLcYot2J+CA90OJz7Mx2KvQegE + Glo91Gc5yQ+D6MLxYXz5C6XkZN6Z/oj9kXowNAMZZUKoXRxF/54PVs559qohqs8B3Rw/r5YfDm4O + 16VNyOg0B0C+eRmQ/WyP/f3tCUaLbSx4zB8edlf1ErDkyjJ9Sj9XjCg9D4v8MitYnl+MsOdxbFnt + nRf49RfY7GLSdjQiGoTv1MWGgy/2lz8zqES1iuDDPdi9dRclKFh3mUbz5mAzcNG3cFweZ1ysN0+b + jfZ+q5P3esbO0rb28vN3fen3CDrpvV22hGZ/fKF9873lddht4T17FWhUw83AYzm+6leI+NfviyW7 + xAzqNn/IRPEUIxB//ezLH+iXh3Mo8BzA9979+rUh+PMnFGxC7IxJB+iz0ELQYg0gKU6jki1jKsDs + tuzIutRaPnZbpMARvk5IF7MuGL95EuTO+4pTJgtg9M03/OW15HVadeVPn2Fjs4La58czkJw+NX5+ + BzvK4QHGI06usLEoxNYx39t8uYeNGiGPUiOe12CRLC0Hb0GL0WNZpJKJSieAU6QdCEOzwRcVlC7s + 3JKi+UKOfPnel0HzHSxklcu7chY+lQGuLPTJIk2cL8mo1PC55Dvsg8xM5T7VGgjXh5heApSn3Kg/ + CQxaYOJffvXNK5afvmOjsKqWkdunggfnZKP5E6v2U5IXTf/Nz2gfPSCSxnsdHJ2agHxwUq5uk/43 + P7ROlQ1gsxsq2nMpdqj+5nt8+dgIVLookR/fUyPvO9jWlkjW2+zUTt/7HPDzS9buOadc6a0QTM24 + x6lltPz9uw8M1xsBNSu6K+fV/iTAh4ou6Hf/sMbPbQEN2Zmo+YnPwdTdgxECzQd4V9wk+7PsYkkf + 27ZDkPUj4Pdmn0Pn+X8AAAD//0yaXW+qMByH7/cpFm+JUXFI2R1SUGaFVmXMJScnFVDHiyDQAk32 + 3RdwOTm3velNX37/5/dUFKOXHYwb9276WkLsCi+tuyIe/3ukm3sMiSELRrYRUYf+YNHP8/NZe6Ug + 252vbPKWfByYH+7vikh5jDcoDMrOe7MlUJwNGy+zCYjbq3mQgfHuddhJoYzq4f70eYfNOaxEVzmY + At2XZty4l++C+SHNQUk8ib0cqSO6w3bWgM25XGDY57f0pgWmGtE1YYpQTofiZlEZQHJZ470ipaJZ + mxJR28vnkbGJUZR8XQuizSx99eCZosq3LpDjPcIbSzPKlnJkqlf7ZmF0REVcB6q/AhMxtXq+48Xt + 6UBdcHfsd/zB41vcJMtFovX80u10b1IKOwXZ3LxyE2/Ca6w2qC0vYMvgfOhzy1nff6mn7P6CYZ45 + caPHna4qhH9x2OdHPsHE13q+5Ca42on+fBJ1eK+H/NUESWyrzpQU+CgiD4quQC5AQOpYP88MPBWA + 4gaDoZ9F0zCoArU+lBGb07MPOyAEAHCeOW7dWlNUXlZLA/T8gzs7siyZdkQmaL9O0N0VREE8W+uG + Ziw+Hb6JuwuqzfMpAYFTSdghzUq0UuEZ2miwAr6fnp//DIZBlodR2osBddTW43+qwJiGdDydymMu + P0wEVtFLNHr9lRBGRZlnRf23zpPoVo1en2e/usGozmua/r/+1O/2/fQDAAD//wMA56ARGuMgAAA= + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961d796cceb8eb-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:37 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '185' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 259a30bd1c4bb76ed0f0dedd2ba64849 + status: + code: 200 + message: OK +- request: + body: '{"input": "instructing to write the task_id into a file named output.txt + and then shutdown.", "model": "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '157' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6SdO6zJbn/n6KN94tfUMEJQ93xwwyJQIqdnR0gCKKA2MmkBX13Tv0f6O6avMs + IPUJM8/5TSf/4x9//fV3U9TlZfz7X3/9/XoM49//6/vsmo/53//663//46+//vrrP35//8fK8l2U + 1+vjU/2W/14+Ptdy/vtff/H/9eT/L/rXX38HSbemodseimmRmCtVyxSF89uykuHkfTZgCEVFA3QP + EPNcf0Db5LlQLC6rZH5KuwtsP41P8n1qMqa9HQ5tcX0iqCo8ffFXeYqkp9PhhDO2/bRUHge6/Tnj + MMVWMTPuncFZdWZq1ovlrZ+iuIFVmByoc+P7gm2g3YCncxb1WL0USzSnIQrWXEl39U5Dwmkvlwjn + 6gmbjmn0s8mZBvzeBy2SdYKtWy5dyMJhrTOf+jxH2IIXvqd412otW/roLEF8Ph+pI7oXNrRWy6PV + WasJuZcWElC3eaC9sy4pri6hvoTjPMDZ5p8heiVFscwobdDJWOnYGfeCNwWk9yXJlAqsnm4lY1LO + OohjWlNsmG+Pnk5LBKzZhFTbv9ZsOg+eAzTjTuG4eTzrnmzcDRw8sLGv7upiuY13F10C6YhNIfok + k3RXLjCGj5yGkIE3i5nWQKJlDB+T5oXmQ1YvQDxtg7293KKl/KwtNKoOj9PgYCfr8lQSJBBOCSG7 + 8WyusdHAZn2sibip3/rEc9cOTcHmTLMb7xUL6qYKpKfbhZOfBGgmUEqwHtcU74JDo0+fZdvBKMgl + drSLjxYrDjWocz3HDpyv/bQ7YA3qIPQJ8P6xXrIlGlDCDxdq0JfgMUG/a3CfkY1dET0ZM8VPBee3 + wajfT1rB6HhPUX1pGXVjAYpFVMNh28fpSP2b1+izc2pTuOzPGZGLK2KUju0RNscaka3ZcN5UvAwD + iNARqgfHtl9QtEvh0W1qXB6fu2RqmsiCldcADRl8GOPrgKBLZnvYel0UxGqp41B/Iwnpk+bdL9F8 + CdFkh2+q7KaqJ2abD1AudwdruTvpFPupD7eHn4XSjOeahlxmoPww6fgUYkAjOVmOvE+eAz4uvZqs + R5ILv/Omfnm/o2Wbcrx0H8UBGzVzijXkuYPsMtCxU601nTedA4daj3Oxsue6ekKlIAHrHx8asKRm + y1H98LD/NBY+umczIbuIabDeKw/swzwh9i6bCTZRfg/Xw0mpxV89+l2bUe8xhd4k9Q9tdZqeWxpc + b60+vbYbAr3XbLEq4Wcyn0/RArztXqk3Kq+kkYMyAvAjmfrZLWXLRhgNUG9XM5TDk9rPbvSI0RK8 + HGpEvapPKL0eYYWOPjbRIqPxys2K3FYHPqxIfamn7n7WEI3jJ4Fz5SVsfncxqKJ+D1eOfEyY3xxz + KPddRWSrO9WTlfVvWHKgOD7A25uftziWZYcVoXAJqmIWg7shz+lroGrHCf1CfDkFcjNi6l3pqWav + VkuBPcIiXD+7Y886a2f8+ocGPVX0+ZlOBAQ99cik6UI9Wu2OA4SXG7YuRq7PLUSAJi9SQhqv9ISN + fJUh7pBsMc5rW2fxdObQ0L4z6sfvgC2bQX/ASyM2ta1+q498W8dy/F5kIhuHtB+ppiuAtRLI51q5 + 9bSvXgZcl/WGrDY7jKZwMQdksssJW2hGNbmetxoEq6ij0RpH3iTazwg9/C4NV63aFBMhrgW7uxxQ + LCKzX6Yxe29H0w+xRuS0mBUkvyHfDy22wBn0H14hqROu1OwOLJlP6smCUXV56naHVJ+LdVeCXG0i + apDnqp7WYZ+iMaxyvAtWJBl+9fCrRzt3IzTl7mXz639qq7tHP/lbY4E8yy70ErzEZLJCTdt2Y96F + zOuHfkwPaiQ/0OyFZJRyNlv6NoTd6shwwFy5ZrteAtDeZKbGoZ6LJbmhN1JirqF2zoveKN1wA1eW + 7ekBOWI/T2Kbg+ydeax9zlH/recBrJvh47B0Ak+Q620poU+KqLVPHqyzT5KFyGGyaEZgQVRadzyk + sy+Fq4fdoeE9Bm9kr+cb3d0PN8Y292WA3d56hdPrqhX8s+0tsFNJpObVWtggWecYurk0qeElkj4/ + 3vsj4PnDsJ27E5q0d0uAq1SbaqfPg81iE8Xyra+e9Ki6BholUHJ41tsbEZMoSWbRu1XoKC0h1ijX + IWZlGg+W0DTU38OnH5t96oJWrGq8i4NNMZw8KqGHnjo4SXBUDJ9l7oDfbEccLvve+/ZTBrvy4lFf + L61kGvCUI7EvS2pk2GBLkfrwwwesPzWe0dJpHWjCbYKtL76I0roTJCGX3tjcvu/eTOptDILGFmqf + ymtCuc9AQLU3HVbIoDGSTGqI7HQj0kxd3nXDpvMbxOfSU3tTW7roN2UuFS/2wK7svvrFOJsGUifJ + xkYcnPqxPFeRnL5vA9lUQ8HYdz2YNAOc+cNTZ/32sIHYfztE+Mw6m6X0bQH/ygaskYR4NNg8Fbmg + JgnPTVbX4/a+D+Fkfy5YU3d3RlXkWxDpCk917fLth3UnwHlKGrKZGytZ//DEXWqTcERXvUUmhYZo + KslkSlo7meSFahD6zR4r/KtlMztfO3TEbob14iolY9GsUpjfyojjFq5oWiod4OONGvbqnE+m+H12 + JLc5RlR5paC/61utQS4fy7DL63fx6z/kGG8bBzfe11mOJk2OuK7FOoHYGw7pVIFRigY2237Up54e + jF+9E64b7aK/4Mr/vSdbt03rheOaTnp9ut0XD8V65qwPoPrSs3B7ueKaaIfHG+ay3Iefm2cn7NW6 + R3hpg401fzTrddL5OSz7psa61/s1myohlDTeyohEBqNY3ydJgk29fWBLOWUJm2ZP+KPfvH4V9sS9 + Ox3YW35LfU9zPTqsdoCs/fCmRjeaaLLVo4S+9UC9wncTuj3gJ5xZmWPlOmUFa9cohzPNVtTcfQqd + fUC6IIPNNj5n1q1YTnayAX5/iOntlXLJKMhFDtiqjjRCi6zPbn8ut4goJOTSrd8vV74KkXL4qCGb + m1c9H/WmQamDr9gwLAst7SkCVH6YRHGQvvtJujsl6g4CpmrhN2xpTxkgECUW8k81rsVADxoQI7on + Cxc+PIYakSC20huszFuhGNjhkYHfKCts+RDX/EukDmTCucZf/vGWygoFJFyrFQ3ti8omxYmUn96h + hux99GHyEwHwpZ3CZW5tJmYv7gjvtYqpTTmv5r/4I/EBH9GzdEuTb//EIPq9gO3dye/ZAxMX5daq + IJwykf7Lx5q8Pg0HatQ7TZ+s0FXQp+pNqpvtqqfPDAiEa/Pw08torqJbg14Vd8QubhtE9qITy3f8 + uWL/VJb6Ut96BRKUY8KKt9LP7ywJ4TCd5q/+TBkptgcCrWa/sEcPTTGVXBUBOpZJiMbO65l8brqt + 9ZoUwsb9IZniSRogN04aNja8wCbmOQKMb0PA3pFTiuW6UieQtUbF7rM7JdP+qD/QoZLcUP7up1BU + GwOugtYRrtW6egzOEw8ky27YDjGwee9JBBJT9bHSHZaaaQd2hOR4CcIxZ4e+K6rJkDvsFDga1bc+ + 2IIcQaLljKwCzmfzTSve6H0uzqSphgJ1cXd1pDqRFPzVu/ri3pUO7fbGi55HKdenbZFm0Jrxie5a + bccmU+aPSI/TD02VKfCYI1we0syyNFy/V+d6CBJeQcrsi9ThAqWe7b0cS3mWX6iT4FmfFV+P0Qt5 + LvWZt0IERbsjDO0zw2dzfiZLBlIkJOJxTc2v3pleInWRmJw6Ikui3YuvMHF//YjxeVsxJp+rBsXm + 5oCjffosZsFeKzB46S7civDRm8dhATge9oxwobhKqI+nRb66Of/Fm0/CysQl4Hd9hr/9W0xnyBZ0 + e4QZxrht6869Kw1SDi81lN4rqZgU9BQkm5o91u4kQWzXLwA/vW+X97s3fX+/HIqUEGHe8IzdRaUE + zSicP+c75SdFAaRlW6oxr0wmrBXZ9rk+VuF2jBI0+6k/wY5lIc6j+zaZot5qfviHd8veLb79y0HL + FyE2s02DhoMoDqBTj6eWG928efcac0BavqWqQz6MqtVF+qN/9Np9JsPulL3hwBceaZd9V8yEq0pg + padQ1THUnvFOWcFKjJZwMRVUL6+sB9ijnY13TjrX7WyOD6nchoju3Dbt//Bz1egaDowD3zOZ2+aQ + C02PLf7pJOtf/Z7iY0eDAzKLNoO2ghmGijpWJ6CvfjNA2DprWhw5JSF6/e7QRlckHL6GiLEnZ14Q + n7clVY6CxJb9ZW/Jh0GgGMf+EY2a6YfgK5cndZR58ijvVpaMPkcUshvv9mLm2Y7kJ/KLqvTwZvRo + Dx0q0o0UgqrI3mi4U4xa7zzTn35bSm04wtkWnkQSl7Jn/npXSa/qLJP1w26LqUtfGynSNZ5896cn + R/UjQC6nJVa211zvZJIofz7PQXbxZsDTW76qVkPDp5p6k6ZGAM/uFVN3xnP//T4JvP5xx6ql8cW8 + FmmKjgfexx7pNV1Q1OUif+szFMNM9354A7ztXPFZ9j6I4aO8oLq/FNhWd1o9D90mhcGwZWqJ9dyz + rUs09NW3objJV4xJUWxJZkN3YVNckT7HZ2FC1mtRsH58dd4AOzQhODdP8iKD3q9F7/QAnpANtsR6 + 348Jvoaw9mWbBgme2dhayxM1aj1Sdzdp+iQMsoa4uK1wuK8XtAjMfYOzCMdQuk5bNLN6FaKRFhpZ + T2FedN266358T/0jf2JffRahcrUh2L1arJ+fknpB/c2TyH294b354JQu+MsU0JsQNWz4yIUPwbhu + yUo3cDENeJPDIbYfNOjfWzThq/sERar1sNpzbs8uuTrJzSWSqBYh2i/hpoi37mcWf+ejT8K2+qMf + qdOiSzGdmqaBeucu1HJI00+0bh7wWJtZuKBH2I94rLhfvkDt3Wmo58KcHCRXJ5HAkT8h5uV5Cn/8 + 3lfvLfLOjRGR0zs9HWKlnw91kEImm0cikiREkzkSgn78ZpUPvejVKpXA2u5VmisZSjqOaxrkBFJC + 9RGhelExVyFnfz6EfLAKar54+RaqGlWj7leP/c4T2Oka0OPYuWjxn70DIiffqGFYbzTjsQJZNaM9 + tr5+dLDVciN99TmR08ipp1hVcvCV8kn4OUr05ewKOXz1PUG27ifj/agPgIk1Y1wvdv8nb0H88KD5 + Fy/pkzNLFJ2MkCoP2+lHvu1juOdpj4/H9TmZdenxlLeXDYfran0vpr253iCbeRZWg3fm/fFDskyv + ODSspviTl7BU4HEoe03/x796D/9AjVHaFmQg9VPaezeRSDLvofUPH9TOT+jlsEMe3dheBefi8KJq + nS9oppqu/fwrzkf1Uz+29zsHMjKNkHz5YkmkxwRXmgr0p4dJdmor0A7JFBKzKdFcnpsYLrZf44DJ + rj4pVngB7nxIsPqehnpW5lSDanvRMVbPy7/5LK3SGO992CN2jMNQuqT6TLarykVtdpeOcFK2LQ4i + KWTrT1Px4F95F++juO+/+/WGL/6E0sN2dcq7jQGiVV2ofxk5Nq3G7QPM4vDAQc7WPXmxxAE+rQzq + Zpu2n3gGBlxZvqch0dWvX35cQK6rlpqvq66zz/AU0C//S++HlU6v1yGC041E2OVf/b/99s7NZvzD + U9ZFXQeZYUt0d5a0QiD++oisxycMP2sx7lnymjJAKDuQ+XwfvJkpGw2KVJKoNQWZ/vNvqN4IGnY+ + GdaHTHgOSA3f11AmwPqZap4C9XNqcPz1k013s0uQPS6ggad+2PA4SAD8Bo0h2id6PxUv34BvfkD3 + F9FkrNiBK+WHRScrP5n0KdjFJRwlvCacVvQFC64goMIlJtZakBERi7Ukxf7TIcFa2HsDtT4TshvY + 0+P2sukX7DQcakRpIut4dWdTNEYhvDs+D9HdnIvpHlkSvCo4hs9TGOpzethFW3IIxvC5qjp9CYKy + lJZ+fSLoMxv1oL3vg/RYyhV2v/g4eb0ywLrMHWx89Xl/4SdOpu6OUu1N3WJO6eYC9iMu/+hLtn0d + fFSUgUX9c+UVoiUX75//oXiRsCfmaKOh5qM4eFc6frGgvJN+9Ul3wSos0MdODbTRNSkUSULYaIb5 + BAnKMA6qAepl3OU88MuUULecp2L45imwapEXoq9eEr9+B73HC6OYDKbOo/SQwjpPyZdP3J//U+SP + R7VwO73Hng0EUqlQxIpso15lM3s7E/KCKKZfPmNL34gVchb+SP/kZbBWU/mXh2mPe5UsKFLTP3nw + F488ul2UFGFizNQYsgdbXrX52F5Vo8EXHPE6OZbNG9bQnOj3PHUGpF6Qpi4Uh7jr2RSJ8wL6UBcY + c+vaW+6eJEH9KVQamvPLG771hDboKpO5zmO2cFzVyXttMKhV+Lue9tUUy/C+LmTWbx+dffUWcE/r + /ifP7XNr30h2w+1p8MkoI51ixPDVL788EpFfPfnr7I0DqxN7Ag3h4Niegm8+9/EWtxQNaV8VUvjz + w0L3umqAq9EjCM2XZJAb8wLTQ7gQkaVmQVr3JcCqeq4o/vLj8uCJIwUk0wjsTkGy7IrLEwzvqJOu + P7r1cnOyDL3y6EHmpVfq5a3eYrTNoxd2h5OaMGphTXpj/4mPb8vWZ1V0LNgfsYmNVtvporeqDcls + xh3dNZlei5+HF6Efnhr2pUq+fmWA2JQOOGyyZ0J4Se3kTLrI4ccZrS/+d+9fPZH1hqX1j/9AfE49 + 3X/5XnCtfSk/OqkOV6Qu0Tg07wkc42lTNYq9mgZXnpfTcBuFzO0Effr2E6rnj/CrB/QdcORQriQS + SoZpFuS3f199Rv3VJOlDuAQDHOpHTdU22SLGfZ7DL38m/Cidi0nYNo7kbTYO3R3qWF9Wmu7/W98e + 19vi881j0F4jBrb18lXTL56jQTbP4eaAnj3Tz1cBpsFp8De/Kpi9SBq6BnoQpvI6SBhPNwLIotph + 9Vns+uX08Cx4jyXDu+2a6OTFChc2XEMJtPFWJ9HxpYG+RdrXb9/ZDHjz/uWJOB6aOfnpeXnviGWo + WeqiL8qlbRC6uhbZfv3VFAKNIVXvHZlG9e1Nl0jh5M4pm3AW6wgRZ2ljiEL5jBXkCGh+PPEE9ees + /pk38I7tcrDXdn14NzOik+YuPaDO1ZxaPiz99JgernQQ9WfIgmNbk9Un4YC0iR2ukLP16Jdf4JdH + OE/tULOQiwz5W+9k22o7RJslkmRhuWnYXb/viPLOsYLNbhh/+Sea5SvfgZOqhPCryvXEelzx6KcH + LG197+et1Wnom1djM+C8ZGmp8IarTtWv/mh6dlruJaDLa8QWku5o1roLh16fZkeNZd/29LJ8Mvj6 + D6pOwSlZ+n5n/dHz/LeeZnHZ8nC796uw3gq0Zrqy8SGw9uF3HqYn6/beLuDu6uY737vqyz7HD4Tm + +4TVLx8tiiqVUOV9gd2TuLDlXWYKuMvdxKamn5I5Vveu/PO/1vaS9dO6nDj5Ox8k+zpf2GxmcIQ0 + hh7jct578yUBH82LiMKPqUAyiLLWQGyegGwUe8cmQzoLED/dJxHvhO+bTRAd0bKSZqrlbqRPkrWP + 4bam53/jtRJHAmBUZiRV86QY3TXSoL/tpF+e5/G3k8nBTed2ZHnclWJezcOE6uT0wU4a2WgKz5Ul + f+cNFMv80M9o1W3AdndtuN6npj7exJmTD2aU4j/5vDmSAULEnBC+eXv3wyO0GDusGqdTL16DY4de + 3k0ikqZvvMFVdAmZB9/Bp1MpF6SW8hBcbb3GujLTZMnXLIRW1D+h9Eqv/fibHzTqfQzR2/qwKeGv + IZiqS6g7qp9+0N7tAKbkutT4zh8ZalYDonDLsPuwXW9URceAo5x9yGN38tCSR10JNm0MXBRCVM9T + HDWoRbYait98mJWb5CKr04GQ4W5QnTVLJsG1Ty7YWBBGy055Zb/5Dk6++p3Wk5rD2Qy9sLUvqs5e + +vYNkrkp8HlBUb3sIqbIn3a1DxHpNW+NN9oDbkF8wEq2afQvXwAUcXzHrhA5nmgHbYTEwMc41ssn + G9JbboCmTpTmWagXQ5F3jz/zPFW+iGxu7/cJmveVYifZnpJF91QFRpv/4APsSPLVyw+4PPgzGb/z + tuWnJ1203lPlOm2KqbosCnz5gdrfedDC3+ISZGcuwiXMtGTxtu8YhOWqUbuFsp77/DHAOExtCL5e + IVJVnAanMMFk2qdGQi/5boK+Dg4YZ6Ghz/krFeS/f7cC/vMff/31f343DN7NtXx9LwaM5Tz+87+u + Cvwzv+b/5Hnhn1T4cxOBDHlV/v2vf19C+Lvtm3c7/t+xeZaf4e9//bWGP9cN/h6bMX/99+f/+P63 + //zH/wMAAP//AwCwMXtU4yAAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961d7bcff8b8eb-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:37 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '107' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - ce0d5cf1ec445bd32d30652ce9e95e35 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get text summary, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created."}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file using the read_file + command.\",\n \"reasoning\": \"The first step is to understand the instructions + and what is required of me.\",\n \"plan\": \"- Use the read_file command + to read the instructions_1.txt file\\n- Analyze the instructions and determine + the next steps\",\n \"criticism\": \"I need to ensure that I fully understand + the instructions before proceeding to the next steps.\",\n \"speak\": + \"I will start by reading the instructions file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to read the instructions_2.txt file using the + read_file command.\",\n \"reasoning\": \"The instructions_2.txt file + contains additional instructions that I need to follow.\",\n \"plan\": + \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze + the instructions and determine the next steps\",\n \"criticism\": \"I + need to ensure that I fully understand the instructions before proceeding to + the next steps.\",\n \"speak\": \"I will read the instructions_2.txt + file.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to read the instructions_3.txt file using the + read_file command.\",\n \"reasoning\": \"The instructions_3.txt file + contains additional instructions that I need to follow.\",\n \"plan\": + \"- Use the read_file command to read the instructions_3.txt file\\n- Analyze + the instructions and determine the next steps\",\n \"criticism\": \"I + need to ensure that I fully understand the instructions before proceeding to + the next steps.\",\n \"speak\": \"I will read the instructions_3.txt + file.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_3.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: Write the task_id + into the file output.txt\nShutdown"}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}], + "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '6340' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA5RSQW7bQAy89xULnleGXCmxqwcESdH0UKTtoQqEzYqWtpaW6pJCjBj6eyHLhh0V + Pfg6Q84MidmDKyEDWxuxbddEq3v7k+Vt9ePtrqliun9a331+fNzwty/LryVooJffaOW4sbDUdg2K + Iw8abEAjWEK2vF2naZLGyVpDSyU2kEHVSZQsbiLpwwtFcRIvQUPPpkLI9tAFajsphLboGbJlkn7S + cBY/EzcrDUJimgsovh002JqcRYbs1x5a5JNwoAYhA8PsWIyXMSZ5QT+esM+9UkrlIDX1VS2cQ6aO + 4JHAnYxgDg/KI5ZKSL0GJ6ikRiWGt4UrlfNCB4B66XpZyE7UxjWoena+OjCHpUKoOOCW2tb4cpGD + vnQLaJi889Vk+VSjcp4l9HZ8AquAf3oXULV4XY65T9cYP1lE6jvj/wNeZzNzscGJs47b+QPRcx9G + SSPq4ULfUgho5epzuEOzPZm8uqa57jWT1KBPZTje/k8XvGlxcnn3q1kYE6p5jSZinD1LnGO825+3 + 7mOyTE8JDymPYXM/wKBh47zjuph6AxmwUAcanC9xB1k8PA8f/gIAAP//AwBIMOJo4AMAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961d82082ab8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:20:55 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '17177' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86472' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.352s + x-request-id: + - 042f52a1a1d192281b9f998842daa303 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get text summary, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created."}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file using the read_file + command.\",\n \"reasoning\": \"The first step is to understand the instructions + and what is required of me.\",\n \"plan\": \"- Use the read_file command + to read the instructions_1.txt file\\n- Analyze the instructions and determine + the next steps\",\n \"criticism\": \"I need to ensure that I fully understand + the instructions before proceeding to the next steps.\",\n \"speak\": + \"I will start by reading the instructions file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to read the instructions_2.txt file using the + read_file command.\",\n \"reasoning\": \"The instructions_2.txt file + contains additional instructions that I need to follow.\",\n \"plan\": + \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze + the instructions and determine the next steps\",\n \"criticism\": \"I + need to ensure that I fully understand the instructions before proceeding to + the next steps.\",\n \"speak\": \"I will read the instructions_2.txt + file.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to read the instructions_3.txt file using the + read_file command.\",\n \"reasoning\": \"The instructions_3.txt file + contains additional instructions that I need to follow.\",\n \"plan\": + \"- Use the read_file command to read the instructions_3.txt file\\n- Analyze + the instructions and determine the next steps\",\n \"criticism\": \"I + need to ensure that I fully understand the instructions before proceeding to + the next steps.\",\n \"speak\": \"I will read the instructions_3.txt + file.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_3.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: Write the task_id + into the file output.txt\nShutdown"}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I need to write the task_id into the output.txt file using the write_to_file + command.\",\n \"reasoning\": \"The instructions require me to write the + task_id into the output.txt file.\",\n \"plan\": \"- Use the write_to_file + command to write the task_id into the output.txt file\",\n \"criticism\": + \"I need to ensure that I write the correct task_id into the output.txt file.\",\n \"speak\": + \"I will write the task_id into the output.txt file.\"\n },\n \"command\": + {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": + \"output.txt\",\n \"text\": \"2314\"\n }\n }\n}"}, {"role": + "system", "content": "Command write_to_file returned: File written to successfully."}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '7290' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA6RSyW7bMBC99yuIOdOGXcupo2sKtDn41qCbAoOhRhJrLipnlNgw9O+FLLkKVLRo + kCPncd4yeCcwOaSgK8Xa1Xb27qP+crO5O3x9rG4eP793/M1c58fth/rT9ucWJISHH6h52Jjr4GqL + bIIHCTqiYswhXV5tkmSVLNYbCS7kaCGFsubZar6ecRMfwmyxWixBQkOqREhPUMfgat5x2KMnSJfr + ZCNhJB+BJJHAgZUdR1fXb1sJugpGI0H6/QQO6UIcg0VIQREZYuW5sxk8o+8inDIvhBAZcBWasmLK + IBXDcADwwN0wg1vhEXPBQVhDLLhCURiLJIw/P3QTI3oWuYmoOcSjaMj48ox1G7v+tw7OKZ/PM5DP + dSIqCt74ciqmK9R7YYozT2i4bnjOBz5riydFYji6oEZrJCoaa49T9toq3xPPxB3hXzy9INuEX0fD + RhtyU/foqYmdnmJxO2QZg4hQ/MOKDr4w0fXLr0lPNar9xdmTsfZ/U84z6HlaeSnK4O+PnnjlsJcY + w0xsqFhO+9UDz67aEfxWPSsPBjLfQiuhMN5QtevbAikQhxokGJ/jAdJFe9+++QUAAP//AwCaFRy5 + 0AMAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961e011a59b8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:21:13 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '15096' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86480' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.346s + x-request-id: + - 6917f9c0094e53549e1ae88e9612033a + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get text summary, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created."}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file using the read_file + command.\",\n \"reasoning\": \"The first step is to understand the instructions + and what is required of me.\",\n \"plan\": \"- Use the read_file command + to read the instructions_1.txt file\\n- Analyze the instructions and determine + the next steps\",\n \"criticism\": \"I need to ensure that I fully understand + the instructions before proceeding to the next steps.\",\n \"speak\": + \"I will start by reading the instructions file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to read the instructions_2.txt file using the + read_file command.\",\n \"reasoning\": \"The instructions_2.txt file + contains additional instructions that I need to follow.\",\n \"plan\": + \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze + the instructions and determine the next steps\",\n \"criticism\": \"I + need to ensure that I fully understand the instructions before proceeding to + the next steps.\",\n \"speak\": \"I will read the instructions_2.txt + file.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to read the instructions_3.txt file using the + read_file command.\",\n \"reasoning\": \"The instructions_3.txt file + contains additional instructions that I need to follow.\",\n \"plan\": + \"- Use the read_file command to read the instructions_3.txt file\\n- Analyze + the instructions and determine the next steps\",\n \"criticism\": \"I + need to ensure that I fully understand the instructions before proceeding to + the next steps.\",\n \"speak\": \"I will read the instructions_3.txt + file.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_3.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: Write the task_id + into the file output.txt\nShutdown"}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I need to write the task_id into the output.txt file using the write_to_file + command.\",\n \"reasoning\": \"The instructions require me to write the + task_id into the output.txt file.\",\n \"plan\": \"- Use the write_to_file + command to write the task_id into the output.txt file\",\n \"criticism\": + \"I need to ensure that I write the correct task_id into the output.txt file.\",\n \"speak\": + \"I will write the task_id into the output.txt file.\"\n },\n \"command\": + {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": + \"output.txt\",\n \"text\": \"2314\"\n }\n }\n}"}, {"role": + "system", "content": "Command write_to_file returned: File written to successfully."}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to list the files in the current directory using + the list_files command.\",\n \"reasoning\": \"I need to check if the + output.txt file was created successfully.\",\n \"plan\": \"- Use the + list_files command to list the files in the current directory\",\n \"criticism\": + \"I need to ensure that I check the output of the list_files command to confirm + that the output.txt file was created successfully.\",\n \"speak\": \"I + will list the files in the current directory.\"\n },\n \"command\": {\n \"name\": + \"list_files\",\n \"args\": {\n \"directory\": \".\"\n }\n }\n}"}, + {"role": "system", "content": "Command list_files returned: [''instructions_3.txt'', + ''file_logger.txt'', ''output.txt'', ''instructions_1.txt'', ''instructions_2.txt'', + ''auto-gpt.json'']"}, {"role": "user", "content": "Determine which next command + to use, and respond using the format specified above:"}], "temperature": 0, + "max_tokens": 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '8308' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA4yRQY/TQAyF7/yKkc9p1dKyXeUGEtIihDgg0EoEVdOJm8x2YmfHDi2t8t9R0pR2 + g5A4jsf+3nv2CXwOKbjSqqvqMFk9uMdvyoenL0c+Hh8/58/Pn9xu8fHd4f3+ARLgzRM6HSamjqs6 + oHomSMBFtIo5pPO7++VysZytVglUnGOAFIpaJ4vpm4k2ccOT2WI2hwQasQVCeoI6clXrWnmHJJDO + V3fzBK7w68frRQLKasO1dH+/bBNwJXuHAun3E1QoF3DkgJCCFfGilrSzyaRIXYRTRsYYk4GW3BSl + SgapGYrDBx60K2bwwRBibpSNlI3mvCfTiKfCaIlGrezWg100jqvKUj7NILllRbTC5Km4AEv7s2/u + p3JjQ+hhnkRj47rcYizlXTGisRENsdk2sXv3ktLZqTFuOVZjtTpYOgtNzFfBf9u8jTRiuOjVOy/V + eAVI0sSOadX8X44NbjliL6Td1jq1sWWp0e4uUnsfwnXVxPtpBufmNrmcbUjw19XIVnjmvEg8krOx + GB/89lBnwNsQXga55pTGORTZNiH8+mOuNzj4zKiFNoGtJy/l+kyFFES5hgQ85XiAdNb+aF/9BgAA + //8DAPlSRNWFAwAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961e726bf8b8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:21:30 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '13501' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '86482' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 2.344s + x-request-id: + - 274d376b18f9ea63882695e0033e4b02 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"2314\"\"\"\n\n\nCONCISE + SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": + 0}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '245' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOzUrDQBRG9z5F+NaTkDSx1dkVF4q4Uhf+VMp0ctuMTeYOMzcghry7FLRuD5zD + meBaaNjOiB1Cn6/u7MuR3PMqPNws4lu6jU/h1d0/duvvdQcF3n2SlV+jsDyEnsSxh4KNZIRa6Gp5 + 1TR1U14vFAZuqYfGIUheF5e5jHHHeVmXFRTGZA4EPSFEHoJshY/kE3S9VPhPn3FVKgiL6c+kWc4K + tmNnKUG/Txgo/TUj9wQNk5JLYrycDtkL+dO9yRJFRynjfbbnMWZ+HHYUk8o2WNRVs0GBWWHvvEvd + NpJJ7KGRhAMUnG/pC7qcP+aLHwAAAP//AwCOA+/QQQEAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961ed56c24b8eb-AMS + Cache-Control: + - no-cache, must-revalidate + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:21:33 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-model: + - gpt-3.5-turbo-0301 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '1393' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3500' + x-ratelimit-limit-tokens: + - '90000' + x-ratelimit-remaining-requests: + - '3499' + x-ratelimit-remaining-tokens: + - '89467' + x-ratelimit-reset-requests: + - 17ms + x-ratelimit-reset-tokens: + - 354ms + x-request-id: + - 76a6cf1a80c9f0180afad58c7e54ed90 + status: + code: 200 + message: OK +- request: + body: '{"input": ["2314"], "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '83' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6TQ+6zJbn/n6KJ8+WuREQqOPdIe8CViko6mQyAUUERRSoAqrT332C/5ue7o0L + RCSnTv3eTv3HP/766+8mq/Jr//e//vr7VXb93/9rvnZL+/Tvf/31v//x119//fUfv8//cWdeZ/nt + Vr6L3+2/L8v3LR///tdf4n9d+f83/euvv8/dzaa8XB4rvj0+rsBrK2PXy/RC4+Z1VKDFcsYIKAyN + U69GsHWojVsLf83hNrAOTaO9Ylu/z4LP8rkxUCnfjiQczIIPzTPTAD93a+JW1SbgjfpJYXMp1gQb + Uc+L4/GiwdpuA7zg6aal0zkeIEkeJdOZjKvlxVIxvB2voc1hV5hs40EE6+U6ZhbBfjaa6VUD7Wwh + Zl1TAXH36+hQfwSRwuFecH7SxFCr3tINr65exbuCDclKeC1MYh3FQ/V5yOdBK/V6xayhN2PxYX0a + iKtyj+Uwlds2R7q2eq+/ZyzD/VKx290AsM55jVd+jwLm3i9URYrvEKuxWcsX4Gsgnq4VWdN1207j + +Mhhz+8OM4trWA2K5DtI0coFPZ22rin56ecJxUhkEmyENZ/2namv1IyYVJu8XUAJigeQhpIwy0av + uC+/7wa06fZkppSW2fD2jgDVe3kj+vIJnMrqhMHMY07CV3s0xwu5iOgVpgpxjoYfDw4uvrDRsE3c + xK4CeoCTDJ0bmmynHkTO9wyF6GmZexY8bBaM1Z0fQFVDg1nHjZkNYn4XgImpy/zzoTG5HMUdfNfw + pHM/BPRDnyWcxvRCPHx8m0N1DXwYy69LnPNwruh0L3K4O8+Qbe/tDn3S1XmC6nA94NEkfcWjNhlg + dw1fzDW6p8kf+icHUAvMLL0pMrqKTjL0lx1hfvIczElK3k/16m40shnLb8DER5fDOeNrYr4iAQ2p + WjxXj/ItMN2FsF2mlzKHS+t7hOj6OeivBy3RgOo5MfftI+ZbiDtYfOSU6Ocb4/RzzGVEbo8Sw932 + EfdEH7S4xxJF224XcGDHDtDuWlH06Q2+9FldwnroFax09302MV2L1M7FJrGJuMumzzEXIfXXa4Jt + f4O+Z2FHoWnfK7ySoEXTwVcjTS0uZxJsLMj4KipS2GH1iyU192O+fIeAikTa4staF7MhsJR5P5Vr + 5pmrLOYGgR10KycjllRJ7XBhVQMXZ0mxjK9F0I3vnQz2WEYseBdnc7KK1QGc78hJ+BXSYNhxni48 + +/tlhhU57SBElg/x8F6QoOG3eJCtSPntVyrY/gfxoh381Vkd9L5JcRKPGHRd3YHyIQ4NHsEwiVIK + H3Y74EEd3Xb046uCDlc+kV//8sXx3EDyMUa8io8YMXpTPHBu1GbW87SOHzdDTaASZGDronq1fOEs + I5BTbUkCCK9xHyS2B0jxHJIAhBkrWsWHezYVZOMMnUn98DxAv/DezMjaVzbqqG5Q0188gv0bRTyj + WQcwZg2+u8e6HRbUd+B6hyc7a+nXpO8WInja4pVZUEctt2l5hVJ/rpiNyaXi4bvMgdSHLbMvkdz2 + 30LX0biUM1xKX9oOz0FMYftwKNvG07qaPpKKQb+t3mTzWF5itnp+zki9GZit2w2ppLYcIlCL7IzP + r6sYT1LCnihusy8e6Tpov7ZEa7TycYQ1baj4RDtPAEHJIyo+T4/sic0wBKNCAUXvlY+61LoKqHS0 + M21dx+ZTFM3rrVj0D/711ztt0NzP2DzDlQ+Pqalhm79zshXFN59KepIhupxyFniX1qR7eZEgdniv + 6FLRhLYJ27KBhZT4LHA+3KTj+LmC7liY3QQ35B2zcKh5vq+x9Uv2q9ezbGvEd4rLcjMd+ejtugb9 + 2Y8vQwi4uUIh6EO+xIsYS3xIzr4PgQ0yFU2qVb2jBha6VGZJD5qctqMdhD7i8Tskm5USmlMiZgNs + 81fOjOrCq+77Dn1YngZGHL6OMx6obY6Krd9QeOkV4mJ6mtDw3d3Z3K8ma6ZDB71+f7FttiqrfmnS + RoHbIWX610k4DVw4IK8+UOIM9TebHP+kaYfR2RI73JvZZAOPAL1zgxmfQ9fSex4YIPHtgYTn74P3 + 6mGItOSc9FShVmNO0951INtqZyrksV6JPnlSuJXGyNzdsY1rwW1L5C2NiUrP1TvmyjEQ4LsWnhit + uY5G8/GpQcNpQj9eYZn8EX2vEIxmRcyIv7J+s8wVbYj3OsFmuudcfHRXNOMvuWjVLRtP+fcJU6s2 + lArGo/p26TLR5v4lW3vZ8N51WAfucE1I6HYtYl8pBFCUXiRY6CMu2dFOBJQGLvH3cM2mjzSGcKyF + FzPi4plRvb/JiNm9RdLDxg2Ycj1/tW01cmb7jzYb2LN5gnpQG4ZfTzA5Taocis58YET2Duqg+dQw + OnlM1t/uiqYH1nYQG/KWGSUtsyHDFwXN64WlVjJN8bzuqLbNlAszE6HOuO0qISSmfyHmVNYxX9JL + A+XV6TCa8W+w26MAL6XuiFMWQ9yLeVOiay1YJKw9l0vd8lMCSjcu22Jjw/lOYwUqlaggXv+WMqad + IITgfLVZ2O3v2Sh1tgNr+xPgVSEk5uianoXwMUD020mt+W43wg7Vi41H+WTHFQ91JQSJeA6xth9e + PezoLMLQ3A644t9vRu1kbWhpIIbMOCQJmvby4oDGt3+iq9JJTa5czw0SXMtnfpBMwdtqpxAevl4w + Xx88c3S34lm7iYXOtqH2QuOx5wm0fhIQM6xTxH6/L4dAY+SYFdXUXFAEUvTYMSMd72g4vWgHqmMw + urx5RdAvzl2NZFQjCoOpc/lzrcrVSuWEGYad8Sl+1zUqHeWMJUzU9uO8fQf058Iljn1SW4oaKUIG + NiY21xf1+/hTg1qGFfGnV4ma4bzIgdZywJyj8c2mT6WEkEuKR5l2c6oxhMUZ2g+x6GNpCLz56Rnn + 4RK2NrWcD9g/KyvPOzEyr39MP9WAofl2Jh4PW7MaTs7GBwGvKmaSXG6bs3YHFPn569/7Oeld69e/ + WM3og0+PgkfId2OOh5P/bYesiBR45dik3LmZ8Ufi+wlJn4IRF794PKDXeADH6Wq6avIXH51ROMM2 + tTGzn8WhnT7XtlR9X9sQMxi8bKSP0ILAndZ4MdgoYJGq+JDKioqXTG1NTpwdhQ8MhDjSFSp6H0Id + jXvBZMYRbauJPiECWPYmRjP+cikZPBi1R0GfM17yRDEBvGuzYYbsrrMJck8ANduaxPdbHYlPZeNA + ifnIvM4Q2vH2qeo/eE+8puU/fof8GFrsxNQ2mCwtMH76CqPjcgymm1jkMCX9gWF1WbRj9fYMsG/b + JTPztRlLraju/tTXstcLRDN4Fn/08Q1K2ZzxRIBZHzHvUr1MfpFPAxBUPIgtBq9schdVCcAxp1Ky + 3Mb8FdcFdOk7xC2EEA8T+A7M+hYr220VvL77ukE7Jb3Qabxv24FvaAft1txhoV5jNEjr8vtn/YPk + YPI/9cmn/UTMOnzGnNe6thqqhUV5ayTVdFQUDKeg0OmUjgtO5aIroUmyD3HPRRdTty8LCCaRUpGu + 2mxY974HrdNLzG3p1/zxE5gQTVTrzud45MOn+KMvNuubG9DTxrbgZF5SgvO4qIbDO9Xg8hR7tnmF + TTAVoW+guT5UboUk5uNhEf3wjlk764qGztZSdLRuCXP3N5KNuq87K1dofRbu/Shg5TumgCqpw1NJ + jXjpfh0DDnm9ougr1XyKKY/AOBoRlaP3I6BLXJXI+vjfGW9kPvz4iO80l4ReKWTTPQ90uGqnLSbH + TK+mpCcWUnb+iYUHA5tc/aww7KVoT7Yee/LBCpTzr1603bmXeLCLTwOWkAiY8+2ybcVG9cEZeUyH + B5LQn/VWfMGY+8E2+fs5eBoKIsyC+Ory6Xl3LVBvOmZrBFY83Q6OBdO5vBM33z3NTnhuPfgejz1u + BWxzKmAF//wJC5PbKZikly4gCCqC5YXYmE3RtA2EF3FL1pF+5uNR8gyoumNPjF0gIY7PewraRXEY + oa7VjtwonyjpqzV+e1LWdk9/1iel/539wzqj8/OhIMue4HasKzrvN/VSrUtaqOO77ezp20BGn9f5 + +UcuxZV8BnsjU1p1E22nQH838PC2RxZuryb6gw/V8PWIg696sKxl1dMsdrXxc9jtKvZ7vwc6NyyK + i2c82clGh7QOJbyxjlXAZz2NksHYM3c95dXovA0HXtN+jzcZfaDONZYF9MHigN9zP/OtWeTgetNE + NszVUbMTGEW9lJt0OR0O2ZCcDR/Ox3uNp5VE2r5Y2x5comNOf3hJLc00QLRWByq9GqUdkt0qh/JU + X6kk1zQeId1N4Kn9khD0+ra9ycsnxLKaEi+4tSYlRlGCvTLW9BqxBg1qtXZAzICT4LgczQEf7RAW + hr+kUlwKVSPfinolnvKK+afuYI4RsX2As+izVFjfM4oM04D7LhqpanhKPD3rbECLw9chgbS5x0P+ + QmeY1pVOFWRncTcWoa+N2fdNzOrQZMNOeHegLNaEmZcLqTrqfRu4iaVOV7o7mt/h2Jbo/o52VLrd + ThUzPhtBMZdDScJCKvm8nxXYVdj+6f1s6j5nCnt+c4g9Cmk7znoQNHxOSCicLsGwqFdnaP1DgCX/ + EcTTqlAxypvXlq2XRo6GCQwHRl+oiKuQbcwXziKCfFF3bFOpJWflO+tQirINweHW4cO7GRIouvWD + bKTdOe7vL9eD04ZKJLjeUNZmUpPC4uInDB+xFkyZOUYr7fv0iX066MF4dDcWKFVV4KXRWcH07Isr + mvUX2WR0jaQiTWVg7fvKbCIOMZ2/BzyeGB3BfbXdl55FNOM581/HLOaCmn7hsEs3VA7TpKVS8q61 + 5WliGFnYD3rLi7Wff6YyCg/xqJxPCizpgJl7xWk17DhKEV8MC+bMeMh8mWPkpbJA5Z7imDrncbeq + zGHH9pLltZ3YjQlAt43pomJnPr2f7xoZu9Ig60e7qerRLEuY9yezPTi0YxYZFiLDrE/2fmROXbo8 + aFbyybCUv7Jquqw3uqauizuxSj9p3z8/OvsnZp/fr7h7neoOUllTWZC9G97f7U8NcNyKVHg9IejU + w5v+8Itgqz+Zbc4BI1L2S2Iv1DiebCwmq77ZeHi0yghx7a5rYGZPykiuOhU9C2cKPc0rLGuPKqBF + aOgwOteYzfr+p+8OIA0FYZsnkzImP68dAA856Vi9nfnv+9Us8kGE7D8Lsxsm24PAFmRiG8k36zdd + WcO9HHSyvu/0mMM6mWAsRPhTv276bix09acdXc58IynKFK1mfGeG05OWrZ6PVH3uk5DC7HcGxQ08 + zcxqSjbf+9akxjKdwKjUgAQW9k2eLHYN+vmr8Bs3qJNvzRMeKG3I7AeCQWquiqa0jcN+/T6p9VbX + 9p/pgXmURC3PO1YgAW1OVAl0JZusQkrgaN0TYqGhCMZ1ribw44/tO9CrT9s/a5jzPDrulAPnn4ur + Q3HwPeKBxOOvUl0HNFofDw9j7bRMQXL40xPEtkZe/fS3tksvKfnlUYPEHs/VnBfRR/VZ8B5tXA/t + 9T1nWF5YFV8fzhT9+OhhdnpGf35vyAfGts/Y4vKcB6FIM0v8YtV+xsfzhPi3bvFrUnTzz/v/9t/i + sqFofH6UHVRD47E5TzX5eDUBddf0hFWtWmXvR/TNf/qBDmJuVMvZb8BQBipe2APjXJi2AprzOSoI + xroa7vF0Xs38j1WcpxlfPT8p6FlUku37cjen7V7dAbUOwGy5xtko2qmM5jyJBWuu83GlygckXYmI + 4bwl5i9vg5AZD2b3nhcvf/oji60eS8XkZMs1F3boh3eEThL6Jj1xIInlGwvIvkY8sO4yyvR3zuz7 + /WGOd/vxhKHcqH/0BzNPnvDTp8RDi4Kz8RoAkq/UYEHmy+ZzzrvQCEnLzPb+ifv3ei+juf/xzjkd + EackHyC6LSnbrskx4OeG4x9+UeV4toKhfwwHdFjEazq4d5X/9CPSqwCYh0oa8LA4Tj//SQzv5rYy + VqpS1ZiTErMn60wU/EUOojPcmb6wwhb99KzFcptqFvoEY2lKZ/gEqUvs5f5ejW2p7CCeMh+//EeQ + DXFwBZSwQ8hCET/QgOxEgNuhl/HnLDsBt90BQ+RfXyTgcmpONZEPaCe/McEL/9V2mbsN0U01dhRJ + dWTy290QwGqXDN/eQdF2fMdT+KqNi5fqaczGPoxEmPuVbFIR4mb2e6hVkYeHT/Zqf/in/vKMzTaR + 49HobhryDzUl1tBXMQ+L2wCyH3J2uIZ6LKFTUwCcZR8LVW1XoiIZzgonK4eO/grNesZytDn/IUYl + O/HyfWuvsHavCZWl67X9kwf5r2hifvP9BuN48QzwUlFgYUejYJrzOBSu1JSZ6quK+9NyiGDTpBpb + h4ZRiUbIJhRMMmXrtOlaWkpdCUMc6xg1fJXRdpsO2szn5GJ453hyHSX69RezF9gwxdve9+FefTTK + g6GJ2QJ8RWVuSTC45GKyXz6MNneTLvrvHv3BszTt7ZlvazSgsG0gC+0tcUWry9j9wUMgvneh2tiu + si5Vixr43UE/vsyoPPUFFFuvIe4YDhld7JscdW/NJX/8037d1CDKpyv+2nX6R4+gt3W64f6XJ2bf + toClknO2/vFtzbsGra/Nl4JqiUHzCqcUdsr5wsxyKVVDGTn433llsuwzSQg8A641WLh0fSMWYzXT + 0BNRkVhLL8z4ZucBzHppnrd848mp+qc68wfDOLiZY8N2A9L9Oidme9/EUwkjRgJeVBREvOaDttet + Vfgt9iR5e1awHNyog2u+uTADdmc05+0UJWLxYPuRqXxcD9oBPtXqhdV80wY9yV5f9NU3F2I9jKkd + H0c5ha3GI7xcuJ9gyqAr/+h54fsp22FP1FR7FsSmC02PUd+WSgQfdxypUNAPr7t0kcCcV+NxCud5 + zEJI4XvyFAzLkfL+LhxkUAY5o3O/xDTfXCZ4quqHrRffqJr90g5dPsmK6Wtrhwb51tRoffZShvdF + y7u3d4NfHj8bjGc75IuNAwdtGrEk1zju1AxStPoqCTmRfplx/E27n59ioWodTH6oUgqxQl/MeIhX + PlzhLMM1Dy7MetxfGS/k5598layPR7eaatvXoepOPR5nvp6c6vX85U2z3kIZlQK+W834TMhiaNvu + hydTtLXIz38Oea87q+37vCGBpi7NcajEBNIVPvzJX5YVhPDDfyo2pZGNi3GKwIo2AV5E1bOahquC + YUPpEcuPcxgP10zOf3xLNn/w6n2b0CNmNtsGfo9oe8+GP3m7pga9yaI2n9Bp8drO+ZPeij9/+NLR + BmttafNpYboWSh/di3mzPqe8tw04F6sES3tXqlhY3KZffehnfXubAwtSDaz+qzHLH0/tdCqjYVVt + ryJZN3vOua0mE+SOLeDTT0++TjWFlfMG2prj0qQlqBjN8xFaX+133FmBksJhc/6QNXmxisdFmUNQ + el/mnLQ6mF7DmaI536LLWDlnIymnAxIOgUJnPo45t2nx049snk+ZLb0N3updHq5sG9642XTCq4FD + xSN6HGS5nbRwmaDlcfVkeO5XPucjyBWFGoP6qNEvj4JPtXjRj9S3weDVvgcucbbEzc5eMLV1k8Nz + iZ9s87QsUzSbVwcn0DwWukQ1ebs3BOAoYjOf5tmPD1F0kyjT98tX261739eU/BhgJbgFwTzvyDXv + +aiIRQul4tazL9HjS5/EWX/arCvITUCFKIfM05cPczQfjxqYWxB2UrrCnPJmeYCjEz2ImTx4xXfa + u1RP6n4im7efx5SX5w5OL+2D2WMs22lRPfLV7cBksv1sTsHkLtoCZUb6IZ74jbK+25RPtHukGv2t + /5/6J5EZYfG63Feje1xbsDe1DdEdsWlnfkygfXYis5L9O+vWSyGHVckHLJwrD3H50pxXN/J4kK14 + Ogb96ZMoII5SOOffHp/7OwSHnjfEui7HdprnlyvvIedUWUV1wIqV6iNvddiyXSwh1ITt9wspUy9Y + nfP4Wb/U2vXTbug8LzZ57U0hLLlQEb0RJs5J7wtwWOzXs158VpPVGDoQ3HyotFZPrXh4RxrsMPri + IXzqrXw7OA7c89uLBAe2DUbXeVOY+ZWljrk16artC2XOu5gd7qs5L6Plv+c9b43Gg763QngRd4WF + 6TSg/vJIZfj7dyrgP//x11//53fCoG5u+Ws+GNDnY//P/zoq8M/0lv5TFOV/MvnPSQTapUX+97/+ + fQjh70/b1J/+//bNM393f//rL/nPaYO/+6ZPX//t8j/m//rPf/w/AAAA//8DACu/PPXhIAAA + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961edface8b8eb-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:21:34 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '29' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 69c9f6768638230a3a1af1bcaf106509 + status: + code: 200 + message: OK +- request: + body: '{"input": "a series of four numbers, \"2314\".", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '112' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWQ+zupam78+v2Nq39FEIIXhx7phCmIJJyNhqtZiSACGMNuBS/fcW+Y6qq24i + AYZgY6/1Pu/yf/zjr7/+ruMiS4a///XX35+8H/7+X8u5NBqiv//11//+x19//fXXf/x+/0fLrIqz + NM2/r1/z38X8m2bT3//6i/+vM/+/0b/++lvZFxrZuG7R9SiZ7vAyuoDuL8dvN29faEScUyGqdiur + 27hYjWRBzgvy3t/WjElTnSBO8RSafUkd9uamvcIqxaYvUKVATUiRBI6pi1j3Pzqaq6dIILQfoQ9V + lcXDU/Zy0G/qGbtP5eBOeWWcUHlWcoL4qtKn0Lc4qAKxocb3HLEhLZwrRKBg+pB53WVpYCQojkyd + cPJZjYWjatRwprPgS2Whsg24OYF9Yjhkem8N1Kfv2AG+TC5EEN4vNleSIcHYkj31xlQr1l3d+lKO + u9Z/R/cvapT7uQLZ+379jaiY4SwnGaDdtMI+28R+PCVeZULWZar//kRvNB+tIgIyfj1y2dye7uwc + Tj7kD21PvSF6FVM0dwKysnmNdfhAyCJvfMGx3CbY0t+FS5K0H8G4Smeqjl3cTZLyKdG0ZhrpkNsz + FiJXQYEtvKlTh1zX7WRVAnNfhtghrtMxd5/X8LnSA95lz7Lrm+A6QudlGrY4ySiILBUcQjfv6Ave + U3Zb72D5qAyOjr/pSqT/+T7dyhnI+pbkXe/abx6c79ogUvHtiq5JUxNW9pNQRbyA3utp7aBLLGZY + JxyKe5pnPoSb+xeHm5iE88c+Z/L7doyxs5VWMQ0vz5No2HRF5kEJ3bmdNQeyL2l8aZ+4bFJVcoaZ + uEeqZKsqnMvjwUOOzQLCFLJCY+JwEjjfjUHNQxzq62K/CrblyRGw8Z0vbJR6SwLqsRBrjTy5k6QM + JTSk8Cmeb6ibSMdZKBGlK8aT90EUPoKIipjM2MuFdzHvLwlAZceiz5h0jFnDu1cQvtsnPvRFhvq1 + HnugEPVD3Cw/6f1KaEpAkQq+WAVvNolVd4XTukP+RiNjN13oW4Scfhy8uyVaN9nNqMhhc2bYfH8l + 1gnbzkOlVOyI7NVaPB39iIPPW22o/hDSjqnns4e4XHax4lz0goWOUkKStRGZOKPspnU8tmDoDvh8 + 0+Y6mzlFkWMjWWF9fda6zbuBGtwLf8e7K7cvmKWkojSHvEAdtleKaWSOiKTGk7EiXhJ3Pk+FudpG + Z4ceqeYUM5JkDq2+RY6VvvqG41trrd/3pTtxCmK2CTcZ1OZxRb5NiuN+ij6JNK6Vgu4+YxaP5yrk + 4G6IB+ydoms3mi8wt25UUKxu1LwbudfuDANGnt961YNNn/0nQEpqmdhC32fI8imOQEXwoM9ib6Nx + mW/w8YOUoGq105nmFQl6XNoe2359jBnK7xy4L4f/HYfMf4ABQdwf/HgX8fG8SjzYGvawIpuA9d1v + fkGqezM2eP/tTmrQCVKaFgdqXAZJp3vLb+Hqf2xf3mY9Gu5HR0TBKTwSqfJOxajy9V0KO+9J+E/X + umNIvB4t8YPU21fYDbHaRMiryg11EpOw/ntuKliHcY1VXRDZ/L4ECno39t7nK3un8yvhXaEh2Z/9 + 7XfE+rRd1zw0pc+whTZ5MdyPmoia+fTF/sB7cZ898ghx/X1P71LSdH3icCLwp6oh04583El4XkuQ + OqPxBXRgxWfuIguisFWofzul8dCeDhy8zBywGSiRPj6urwyUzV3De1Ywd0haZsr+JXao0+BzMZor + 24CkOJ4Ign2hN9b0GoEGeU/4sPJ1ht8RD0086z4KtdSd8+PNl8icidQ8bn2d3jmPQ16wYtR/OHbB + 7IaWkKXRgWqDwlxSdfgOtAwMrLkHJ/yz/uyNsqPeA7Fi4E4rBZb46U/BqXTHvbMTYNKNG3ZtkYZU + 87oE3lpd0sP9ttH/5AuphwvWPPvV0ayqe9gHU054La3jsSHFDNez7xOu9IpucEJ7hH3A8iX+oq7V + 3/cXnPH6Sp3le7OnAoCW9lijN82dDcYAUt2f/fGmkHhoHyVBWj/dqfa61CH5qgUBIikWtQMtL8ZG + bk5g0/eZHk7HUJ/VsdZgaU9qzyP6zK6xCdOX+nRfrs7xHKXcjI7keqdmY20YW13TCMJANPAzagU0 + 7xNGoCV3H3u3a9/NN50v0YPsYmxN77gjo1tHaL0xX/5a8Jpw7sPCAs4pESk/naOP52ztgSulGFuv + +4UNCmddYYoLE1vPXmPsIZw9eR/5GTaPW+IO5NgAXG/6Fuu2e2Ib/u4EyGr2R2weYub2fKQmSOM6 + gxr2ywmX+OWDcNMUHJcOcsk9CgR4ma8lRr/7eGyfSYBc8VtQ3cDA5iGva6TrIfhAPkI433K7RGKU + OtjwdsfwN97yPIkt3qO8c0c4vCU4S/sTtr8nXmdVL5ToM8o29SUVdLrEP5SnNMOaqA06Q9HswZi+ + Z8KW9x9Pz70PTx97WLtMdjxj0jhgBW2OjdBi+nSfZQHO0u5E1tmzLEjS5wGsi4uFHWOz0+fqfgRZ + yqQ3WYdpW9A08DJY4ic2eBQztrHqGU5RpmCNf4/6wM6dCMXZzbEthZU+HtStAfeVY+ED+ty7/kvk + ERpL6fy1r28LcmvqM1I2kUb3yBjdeatVI3TrYaKHW2e4f/K1F8iMjC2J3RkHiQX7bidTzzrPrK64 + XQA8N4/+9NXnbqKXvYRQcX9gbK88t7fY84WWeEn1D38oRmlzq37x0/+a+FCM3Vp8gScmBYEedkVv + 15aANgy+VJsyok/VCjLgk1VJNbbPGNNJdt/KY/CihlGewykLJQGWfIODUO7jhl6w+Fv/hHHQxcWZ + RYE0eC5Pvv3rGI9BK85Q4LwlJDR23VQODwU0y3n7nXwSUc/ekger5uFjZ590jK0taYZNmuhUfxK7 + YCwoXvJPXxmN93UJXRsmtME5poaTvML5kscVqOWzIeLRMtzxca0TKPv0iPFqLLtxzV9quFqKiT2n + U9kk3UIeourhksmGBPWZU4qwTe01mXH3iVmovXlYv9Nkyc9FMW3I2QTbkVK678pYn8xwGCESTxv/ + 09VtPMoXq4VGXLd4/1yb8dx7xh1ou9mT29ZN9DGoNhyyjCzCejSHxZiO9/aPnh77ah+PbcU0GPGT + 89lDkAva9qcKtBb1ZKo+t2JcvieIXnwlDaVfferebgZB8PhQBatCTG9JpKGHotZYv5oK4tl79uGQ + 7iNqvpKdK6jjS0GnqrWW+TAUk/JEV/R9dxZV5oG57G2pRDbFxwkfImK6/DbV72hg5Y7uVvzszqLz + zOFSGxURlng/ac/mDCxYy9iYecz6t5Y78N2cPOwnh66jaixxUJzt3EdTYejzN3h7cPTvIg7d/I3G + 8+2awfxSOKoJdczYQb/xYN3wx7/uL1Sfwjp1UHvy9lRd+s+0nddL4k4IqTXyCmLiNCfwEOONL2e4 + cKf4fOUh2Wgt3enypZjeMOdQzPiKVfb6FON+E1zlva9dqd+L13geh/j60/vYzYyNPgqnO0HJO66w + 5lC66NnbCeUOF5KZ19fuHMx7A7Btaj47Og6blvyK/EwwqZ1fOX2SsrkEJvkPqgrFt5titbmDKhkD + PtzXJ328Zp0PTfCMqVGT3mXCbTzBw85KMunCnc1ZOeVoO/KEGkv8pvVnJ0ApNg+qHtMH+qO3gkpr + CFLIu2NDMpmy8EVPn30HtdiEyNVgelsu1dTPuxibIJth/lY+ESQqdvP9881ht+6/dL/Mx/nUZlcU + mHsbY+Wmx/NDb0vgFF/xN8v18tFcRFj6T43NqWVjyT1P8PQPHj54tRbyd8XwYBei2F8lua7/9BJo + weeIVS1+sjpZvSzwM97EhyqV0Ph6BBEs+c7nneQVd9HuMSNSOwk1m+qEJiqhGn1W+8S/MHsf0xXf + RiJyFRvHvOW6faqbFphlI5Etv13rw4HPCQzDSqHq7fJBbKM6itS2tYAXni0m90p7GML2Q+TYe7uD + 3YwarMNHjR17B2iKbcWRHVQmFBNbRyS4zRJotan6gnXcxfMD3BlWK+1E7Lr/hNRSUglRUULYNoy5 + Y3L08qHg9xoR6MAVQ7G2Rwh4M8Xqoq/X6dngkeH0HrYTPC+8oZ+BxNyZ7tg3D9sqQB6sN8YLn8VE + RONu1CsIn8oNO5PfFz2Udwf0IDnSZMmXBMp9D0/wXj6fOYM7bNcvHnSB46lfRyic2s2WSApFR3/U + +Kobt5eyBhIZNd3fBD+cVf7JwTLe2HTuk1tt6fYErZ8QbH9H6o79tCEge58v3XFiog+gxCX4jZX7 + Ndrk3exw5xZ51+7mbwLmddP1dYqgnuMvEZV+q/+JZ6HGB9RWn11HSPiwYKBCT/3Q+BSs7ssKnpO4 + o+7pkseTvJ+vKK9VCVuFJBVMMi4ALDptSYDVazw6r7sJ7n4uqaoLd0QVeSWiWXwO1N2HdTwHlRiB + vXYeP/4qhFN7PSNDvm98sVW4gsB9q4DiniKqMu5VzE9fP4E6v1NsnHMj3lx38ojM5ODQA0lm1OMY + Bb/n0Z/eoCzoXlsp/G7JKrYmRB9EzlBd3pi/Cu0HY/ub4YB3BAXb8tVyxz3dVugUJQpOM0jR6B6V + EjXtJOCdC4duzjYVAM3qFTWfGmN9tJotmJpKotYp3KLBhTCDbdlW2H/SMSZIS2Y4Xjc13V25b9Fv + UzeSMO522Dg+tZhs/Pv5Nz7++mynxVSLeg/Um0KsSH3n0i51Tbi/zQuZCkNa+Iw34Si9XnhXuLe4 + t23Gw8s3PKoLTzHsZYFVcLhHOlb36xHNuankYI2lRs8//lTmxoOF/7CayD6aTiv9Dgs/EA4la71v + d4opD57NY2cYaNEPt+ML5OCi0N06YCFltjdDFuAtkU5Ki8hJmWu01dYR3R3LazEbJ1WD63o/EAG+ + Jep1P29hW9YVERZ9TLijFcAQ1h96xeevO73X8QxJK+Sk3jy+HdvJqggLH5O5krA7vh1LRLv0eqPK + bz00chPA6V6dqX7vvmzmuiRDXjm4C4/LxSTstDt87ZOIlThrwkH7Wqa0F4MTDZ+k6YbOuXjw88P0 + 9mR1o8MOOXxWu4TcNBJ07MPTM/rk2wvZhJtrzAzvkYHyHjl8tEJPZ+TwrmQzwQ5ZD1SIp7ErHXiC + /6K2bkFYn423Bq/OZiQHrnBp3fclPBh5kfDe7dFIGwDUTVrk530uumRdc7kYnC0ZV8t6HrjJUFCW + 3g/4ufghpFEf/S8+//E3ludVyNYvB7zjRHCHsdzd4flSHv6bvXYF0+MXwG63+fqkw5946o+IAx+h + gTrKw/nz/nD1hpRaQWu77NPcW8QZ2xu2vvGto/aeb2FvpiY2+bpn4xyFCTpkK5N6O9qxOpArH2Re + 3mDLmQGNl2EmcNxxNrYf3hjWQbUCVMdIx7/xaK1u6yGr5xtq0oHr5jQ9/eE3jH2Uu3TciQK8OpdR + d/ETZ2EVzaC3c09dzvfZz3+TP9J9R/X0FnXTdx8GYIZjjJ3dRdHHUNY8GHHK/fw5fbyA6P/6SxJ/ + +yg6Ixw9efEfqJdt7I7Ywlr88QXV8bgtCJS4l65nz6dqmXVsrls5gs1HYlQJ4n0hiM7zJZ3ZC1Pj + 2ow64+drBuNdiOneuj66P/kFl0eZqqanuJs3rhMgkVn73MOxu9ksy+QX7+le99xuhmN0Qj9/Bh9f + jT5CGVjwbbw7Xda7Pj9TZUZre+/RQ8PdUOnPzQuMtzdix5ctNKXr1YyW8SDyi3f0cecHtZw6s4b3 + weVY1NZDP8NmNhH15bMaMtEzCQQxOWA7q94hOburM8rllqMH+/MKp+Nl6kHS+gjb61vg8gtfIPkD + Br4Kb4WxclIj+ccfvpqW6DsJ7wC9Nz6i/q5LioklWo2wms+Lnt+7cxUgHxz1+sbL+zP6SBTl5y/R + a5IOer25cDWSgtGnPz6f+iMD9KDynmpf4ePO4soa4ctynqzfRtexVPU5kEWK/QUf0CR4bwtlTXWh + vihU4cSJ7YjC1Oro81x07sKDPDKPyw2h8enmfYIIZKpn4vPiHy1+k/nzX/zNYXQ69FR4gKdibsnE + e/eOvrae9cevpuKgMf513NZQq1VNNtdEjocLbUTIETsNG8jUeOwCb0aOqYpkC+LgDmdue0f2nTti + TffnkJ1YGaCHotdYF29GNw6KHGyN78R86bwXGOnaY/THb3+bnqJPerE/gX0zPz46XfKw/gjVC07l + nGA1EjREK1dvkZB+dV/e3F7sOwlNAApeTYRfHXPGJuF9QvAQwS84cMPJiV4vKObDlVqlMLLxx5v9 + 0zxQI3MGnXGD28J9knnCdu0aTZ57VIAEXU/k+rLXN6qwt+Dqf22yWeoNFNyWoMsWTvTyNtyOLcdw + E8kOK/oqiUdzpRro/m3u/lpojXB4D2sF5lAQqHVuVJ2HMnBQdL/dfuvd7dV0dmTpdjn68vcxsuER + jBLcdeWNs9spDUfedTnI4teb7pU1FOxy2Z1gRw4CQdXb0adI0iqUBYctPqhVHY7fc1OifO1jqncp + Fw7LegGc9ts/vDis5aKU8XyZ8J7tRL0WS95CWL9n2C2d2J35T1BC8Vib9NFskDss/vUff9Z1+F04 + 3nDco81eWC39hXDkdpMFRz8Sqdbnd3e6SVUJY1rM+Ke/uiV+IcahkSrcoV78ATKizks0fG7XN/ZH + H50vWUz18d4X83V6GH/41JtqMRbW4yVAq2urY7VOdbaOup2Jmod4wxEEVbfwVwKrXHAXP94M1+fN + qUY+yzi6+Af6KJa8s43nLDww+CQxW3gEvTOhIzKsGtbk7mjI1/Vu8DdCtXanS+1a4LxPKlWa4hOz + 8gQRGiTXot4hsFhvPL5nWPIFmekt16fl/p/fTDhLLdB4u84ZyMFNWepLOmNtH5Wo7fMcayfyjRm4 + eQ9rTyjpH/2hbdc5bLmV6n8+IxcPx/Sewao7SVgpv3Txe96OvOQjMt+iSJ93zv0E/rDZkukTqWzc + pJcItpysYrfVvvokVcczjGutoFolUZeC4XIoEoMNdVHzReR5yTUpvZgZ1uaodOf8de4hsPk3Vgx0 + Khb9VEK6Oj+we3h4sfAyo9cvn1ITz5o+subOwUdxHIq3olj0J+8xojwdsp9/2I3r98v76SOfb9cb + VKvX8A6GQzxfeIimPr3X4QiX8uZT10PHcBynsJcH+2xjrXlel3qL48Dx5e382Tny4SDdYuHHc1Rx + OT6uf/W7bfU6UZwYlrtpS8TD4p/54hAWiBFTE9B42et+vvAjsyq7/cPjl2cr/TsfOO9AxffP2UWb + SJ45uF3UA90blormCftnMMtOIi9+b4QTeSgE7va3pKoyY3eqxLT/4+diV1Tc0ZNOJ3gH5E6V6lWE + RHq4GtjebJPcoTSc9rGRwxS/zT9+cEe4Uvvpu0Wfn92Fpz24OWQiW0t3uv71uEe/+EUXvy+cxNsg + bKXb7Yh//DNhPiDIW6mVzxvmI5w69GxR6AarP/pv+PGM/r6MVFfUj/uHnx9gY2xeItdlIxcp8PPj + w3S9LsaNbvvoVz/CsXVEzItMA3H3lvqV9tjq7cdOEjDDOfZFJjrdxj+lZ4Rp9aFYuRXhaGupAcv6 + 9ldDZ6Hf+KIi7mdf0lOGpkmzEjiYrxvWvvfWHWR8NP7oBwtttEIQNryGPlH28YmalmxMVrX14328 + E8NLTBY+QrN0e/zbb/j5af77c8LuWbLj6bTpa7Tr7i7W0lEN+T/65xYI/nRMt2hm+0sFGM0DPbyu + VJ8P3/NdkjqzoR56GeHw81uYb0zYZ0jUp1/9hD+VDVYvyYQ+yPLOsOg3H1Ykcf/o34UPcYjHbUeW + eg3glGyxtdQ3xn19ErY/Xpd82WLC2V1dUdITH3v5vSrGP/VnY775HB2UmOlr2ZLQOx+o7a2Ubtzo + qi+rkXtY9N3LpQtPysFXvGCrvh3Q6HXJCCZYLd5tbit9Ll9aDzb+8v4K0mdHdigioLdj/6eesMTf + /KeX6IUcppAt/MIcXvdIjsqJTf0jIoDq/Uhtmdf1UVt9TEnieBU/dkrd1Vl/46WLZZtUvbEXoo9z + EyBq+gE1SW4h/naVsj/zef+8ufEmqWYCF65rfOjyc9y+HnsOlnxNPaEk4ZizU4l6O7Vp4L4e4bz4 + 7fIvvy7+sM4+ei/Cu3H3BG0N1Z121tuU//7tCvjPf/z11//57TCo6jT7LBsDhmwa/vlfWwX+GaXR + P3le+CcV/uxEIH30yv7+1783IfzddHXVDP93qMvs2//9r7/W/95u8PdQD9Hnv5//x/Jv//mP/wcA + AP//AwDEWjwG4yAAAA== + headers: + CF-Cache-Status: + - DYNAMIC + CF-RAY: + - 7c961ee1c822b8eb-AMS + Connection: + - keep-alive + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 18 May 2023 18:21:34 GMT + Server: + - cloudflare + access-control-allow-origin: + - '*' + alt-svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + openai-organization: + - user-kd1j0bcill5flig1m29wdaof + openai-processing-ms: + - '32' + openai-version: + - '2020-10-01' + strict-transport-security: + - max-age=15724800; includeSubDomains + x-ratelimit-limit-requests: + - '3000' + x-ratelimit-remaining-requests: + - '2999' + x-ratelimit-reset-requests: + - 20ms + x-request-id: + - 31f1229a25281d1227d2f7d712e2648e + status: + code: 200 + message: OK version: 1 diff --git a/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml b/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml index 0e40eee7a0d..bb0688c3f7a 100644 --- a/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml +++ b/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml @@ -1,9 +1,9 @@ interactions: - request: - body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following - text, covering the topics present in the text and nothing more. If the text - does not contain information, describe the type of text.\n\nText: \"\"\"Sample - text\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": 500}' + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Sample text\"\"\"\n\n\nCONCISE + SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": + 0}' headers: Accept: - '*/*' @@ -12,24 +12,24 @@ interactions: Connection: - keep-alive Content-Length: - - '303' + - '252' Content-Type: - application/json method: POST - uri: https://api.openai.com/v1/completions + uri: https://api.openai.com/v1/chat/completions response: body: string: !!binary | - H4sIAAAAAAAAA0SPUUvDMBSF3/0V4Tyn0ta6al6FCXMIwhRBpGRp1l6X5pYmc8PS/y4V2V7P93EO - ZwTVUDBd75LysVnRe/xZZi+b4q1bDa9P6+f10jwc830LCd5+WROhEO0pVoa73tlI7CFhBqujraGy - xV2RZ2lephId19b960mtv8kbStL0ZvZbJmMD1Mf4h6EgNi0FQUFoEfRcLWYgjhRb4VmQ3/HQ6Xnv - GhLka3uCSiUcN/3A2wDlD85J7MhTaKvB6sAeCiFyj+lT4hB0Y6FG9AN3fawi760PUEUpcTlzju8l - IkftzsHtYpqufgEAAP//AwBbx97yMAEAAA== + H4sIAAAAAAAAA0SOQUvDQBQG7/4K+c6bkJqYyt4URVE8WMGLLWWzeU1Wk31L9gVKQ/67BNReB2aY + Ca6Ghm2N2D50yfqpfngpwnDLY/P8enqjavOxuYv3/nDKH6HA1RdZ+TVSy33oSBx7KNiBjFANvSpv + iiIv1/mVQs81ddBogiR5ep3IOFScZHm2gsIYTUPQE8LAfZC98Df5CJ2XCuf0Py4UhMV0Z5DNCrZl + ZylCf07oKf4lB+4IGiZGF8V4WQbZC/llfot3s+QvhY6SboFZ4eC8i+1+IBPZQyMKByg4X9MROpt3 + 88UPAAAA//8DAJQUSCUtAQAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c6672fd10a63-AMS + - 7c965f454d021ca2-AMS Cache-Control: - no-cache, must-revalidate Connection: @@ -39,7 +39,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:12 GMT + - Thu, 18 May 2023 19:05:32 GMT Server: - cloudflare access-control-allow-origin: @@ -47,29 +47,29 @@ interactions: alt-svc: - h3=":443"; ma=86400, h3-29=":443"; ma=86400 openai-model: - - text-davinci-003 + - gpt-3.5-turbo-0301 openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '1500' + - '935' openai-version: - '2020-10-01' strict-transport-security: - max-age=15724800; includeSubDomains x-ratelimit-limit-requests: - - '3000' + - '3500' x-ratelimit-limit-tokens: - - '250000' + - '90000' x-ratelimit-remaining-requests: - - '2999' + - '3499' x-ratelimit-remaining-tokens: - - '249500' + - '89466' x-ratelimit-reset-requests: - - 20ms + - 17ms x-ratelimit-reset-tokens: - - 120ms + - 356ms x-request-id: - - d2548891e9d655d681b9ac0683d3613a + - 91d91fd69823d01bd68302ad21082222 status: code: 200 message: OK @@ -92,120 +92,120 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1SaWQ+zvJal78+v+PTd0kcBkuDNuWMKYbQZMkCr1QoZSEhIwmADLtV/b5H3qLrq - JlIIUjDeXnutx/6Pf/z119+forqe+7//9dffr0fX//2/5muXU3/6+19//e9//PXXX3/9x+/zf9x5 - rYvr5fJ4l7/bfz8+3pfr+Pe//hL/68r/v+lff/3tJ8svlV+lXVErX4hr86DtGZaqBPGXTM4QWJct - s1/uuu0vFk4A2lFgeIV35sSNKVDv9kVllpCZ/rjpGwtlO8ci2rmTUy7XSbCWZeIRLCirli3MM0b7 - PfhML9vU77yaOzCpzgOPsfou+GDZA7CrHDJHua5Qv45FCvbHrQjWvhQNGcoSWCcSZ3jbaQUv3CiA - nTFe2MY28nYSat1Rq3y5/z1v1V9uJwv2z/uR+A/liKZFfTJgWXzvzC49K+2bLCnR/uaHVPLMizko - 1k2D91o6kHBEpj/4MRzQN9QsFiz2qfldv60TbBdhRnDKGj7hNw1QGdoRC4TjvXjbffNAephwWo63 - O2KW8T1Bp9Vbps/j+zLxLkIpFwyrq0+bcjtLRNh+l4QuHgVBg2IdNbQdPiExNL9GU+fbDvgfMmF5 - v2mrfpOdMliJQc7O7+jedjsqRLC5BDXxZU30W0r3ETwPxCZ69Pm0HEumAg4qETFu6ZeP2w/p0Jb5 - HgnM7FJMW+mVwcUtMZVraZPKlmQ2QKiyYyGL7uh9ML5n1O2FiDl+sm2ZXi4aUGrjToLypVV8k+kC - rPKrTSwhq0xO3a8HmZiURGtzoWC26XtwYmmDl9Y3TCczp6BM0/XK7O+98Tm86xoJzD/QdUDkdJqM - +05tfK5QNSlIym3TdGBzVFpmfV/LdmijlQDv3WlBlRgZqZzXrgam1gQk1E3bHA99noAYFicSViL4 - v/cJJ9mTWfgJo2Jw0AhQeKZK9PU2bsdHua8BkpISMrpFxadbdUZrt34wa9Hf+RD2uQHvsrZJeBKr - ontklQMPMROwhIuw7epbvoKitwmWniGupoUkX8Gj8oa5JH6mPMjfAXSLmBJn88oKjozvE4510ROi - q006LNDkge2YWyyH1scfev9aQxIt9uS33kbZP4iQtG3OsJe9zPHzvgSQFG+faKfs4Y9Ln1F4G0hl - ni271XCBdPjNH9nGpoWGY/QxYL3Ybim9jSPqdHcMYBBvhCrlF5tjCr4F/uXek2BCRTudwTwspLI5 - Mkf0LN7ujayGaPgQsg+okE6b18oC/dH7WNF8p+XoOEZIWq/fzF4k25Rn6tZAEnN3bF4/5vS5VRgS - DW3pWrIZp/6xNODj7zKs7lyj4H5+2MFCo2/mj4uhGvlr0KBE4wqL55AWTe2uJ3CjRUpRsuxTniCl - Af74Osze7seKunXToftqU5CLKvQV9d/BFV3dbsVsnNt89G66A9LuFrGNZ6o+7dD3g3ymMUbW3s1k - phGVsPH7J3Hkyz4tlXxZK5cw35Pt+tGjLxUjAVarTUl86FaoaaLyAUXxDvFKkd10WYjaVfXzpsbi - C91NHpcXAX2X8ovoWNm3PImNEwxuQ/GiGnA1BMfhqpyn1iTGs2Gc5+pNAdDNjhijtU2HY1Qa6jq8 - fVkgxldzUlEmgkA0hfjdlxY8rk82CC5d/PSM80wlBir9N2Z6v/HaUarz4bf+mKVvfF+k5cJBC3f9 - xamcPfhwMz4iPK5QE/MWm3/qB9Urt6HiQf6kDbyGBB6LrUG2G6Ezh7GPPciH2iTaa9Okw0HyE5Dl - 0CNG/EyrCW6ig3YfItKJ6vuKl17RAckfPtMeRtZ2bpzUcLxvJzouR+bzdbey4fRdMGaORlm9lVh1 - FLl2gGz226ToQ8k/w2cQBeJt7g3/ip5qoVNEb8TcOFLapGJsw+KWTsza2LjtVuK9AdbnOXNr/Wj2 - zB2falc2e7ZZJltzet9OB4U4uku0UPDa0RUzEaY6PjIHg+CPRHoFUL7FihF6kdHrV39BSc9su4i0 - djnPjzLXE9EFySqGm1HK6lcuRiqt66Lg255nUK+bDqPFMUd8QYMr2pdNxBzhdi6mvefVoG9hRbQq - O/Fhri8Y3A/F68UkFr17XSWKL2ZrpkUNSf/0s9/8m9/3tRhqy7bhsjA45ZZntlNwXK3QWlI2f/oj - /xhRAxfxwMj2ZJz8YUVfJQhDk8/6Nlb9PB71TQyJzHprct1ngLwwkYjnBIHPOXI8pbftjvhV/ESf - MHMPkK/5huiPzCg+iRh9YGudVnRSzHPFhZ4/QUKHAk9DJ/PR6vMAsK4/iFvtk2LIpN5Ai3KQ2OmK - CpO+3I8CEvN3mH/i8zwfyQ7ebeSxTH+KiIe3agerBztioZGbaqRiJkD9GO94mPWtu7+FDiWHNMJC - aNop/emP1dsec5djhMZXjc7osTsMxOhNk4sXKAaFH1cSI9I9MMdHrcngRMOXmMv+XrEsO63gGxoW - 0d/0WQ1uuTQg9M+UHCSkV/SE7jV4/dEkzuDe04GCIcC1/CRkW+UL/pHNLoNFkbXEm/RjwZS3JYIV - IYva/aOvaIuyCZIkc/E1MYqKD7dTjdbrMcBIMApz6GJdRGznuOTyDDo+vo0sUOpJYrQ/XQ5p/6tP - d3pUzLgIvjnRuPCgZYbMglF1EXevKwrV8/3BpRUt+WTXjqDglovE0erKpIs60eCbnDDdZYHHRyOG - BzpMJ4+ZC/Zph0eyXMHx4pxJaGQWf2WmMaDjdkjZtZa25jRl7mpdRZ+U+Y73SulwLD14beUnva0f - pJ3KPi6hUYuMeM1RQ3Qn3gHO66vGDDT4aPDk2xMZN63/07/6jbGWwdQ+AbkdslcxgjEZsLpOOkYX - ZFRUkPoaXVahTGb9b8tlHghInnYm5fp2nJ9fLIH2AWP2+rmrvoz2HSxs7UFcP9I4f5XLCTrx3dDh - pO9NvjB3gWpTKMk5vj3TT1Y7NbLat4PZxzXQrH8yLA72wELzIFd9Kt9klLOthlnaP/3+dnsAXJlP - 8EKLCpN7pjRBOGUOcy+LyB+C904B/FZ6Zl0eoTk8rysHjGQtESu8GVXf9sj602+suX+1Dg0i2KhH - gz63I2ung5deQReTgoRaK1V90zcBDMl6gRfNmaec3XQKaVJzKsalbTJ0HBM4olEmluOW6ZRH4w5G - f3ciOnhVwfANMDI+qUA/p6zi48LsGng96iUje7Ou3o9aT8BgNiL4cr0X8/OvkNVbHjGWGSq6e5ZE - IDxvCdMf2ohm/26j90vRmf0q67azvEqGJsSUOQux8Idbn9vQR/KCLg/52x/jOm+Qv7BVLDquVvQX - KjzQz+9o1/xVjXavADKe2ZJ+6cn3uVS7Bwi+6IqF+81C7RJNE2A1kolNjlk72Shr4NA+BOJuqrhi - 7OZ260V7XeNF59Upv4pNgH7+b3nQD+1w9FoFAu2p4eUiKtse9XGGdKNRmXPVZd7tclojXF/WzHTL - FxpyP/yg55s6GLT+nA5vz8OKLigxM8/1wxxM7ySguZ4x19zSbG8it5BzsJ+UdZ6ddvP40QJV21nv - 17w81yiActttMVBl5XOl1wBkkg5zPznwaUV7gKA4JHQYHZGPeyPzYCM6GtvkjsSbU50rwI2yY5tn - SKshvTkCBFqtsS0+ar7M++YKxDFdul6592qo8/2EDMd/0DWJn8Xw8VIL4aN4I3qxC/0pBEmBaL2M - 2TZqxYI965ODSjXomJks22qY+6WSfcuQ6Vmy8On8/0rX7nLmhk/J51mWrGDUPgdMh3CouGlkJdoX - kU2Sr1EW37u0y5AiW4zgIRxaNnnptCLr5o0XnK/9ocrAQGaOzrg/nBNES2NyQPO/e6K/zKodTrE7 - KOQq2kRPUG4OeXnZof3QXSmXMwOxbc9PgFT7gFdm/PQHtXY6SA5xxEhuef5nHq/67DWTBLFzLLia - pQaYET0Rq4syNDQoOkBS76/MOXeZPy7rpgHL9kYKrj0Ug+EZFqQr05vra6ymnTt2UD+jirneOuVD - i74BwoeixXXQHVs69XGtBLV2JJoib1uq5wcb5vxCTCw7Ph/o0gB83wzM3z9oNY6iQkG2LUowoe9i - /OXFWW/oevfxioGbxkcNl1OMYee7Zn/sHw7s1JdKr9oXozHLkjOsJv5i5ub2KKZCJgG8rcNIAvda - IhaXe4BbcZ6I09usGub8h+b+xKKm6CoaZVUJBzmN8cvdtAUPPG9CoytlrNBcnUtV7Blo7tf4NcIT - TWq5MdDGeDx++mZOijgJIJS1T/Q63/CprXVbMYfpQx/562iOW7Oo0fpSLal4FBXzHtweKzXf7SjD - /uHAJ4PKH2VzwfVPP/0pvbkZOhvl+9/1p7sjVrWjfGbOfkHQeAC1g/l3on3tntPJ+B6Q9chsZvYL - ivo7ikpUrz8d0f3YaLmM7goIkrCjwrf8FK2fXw9gX5WE/ep/wNkJK+G7M1mhZFa7TND0UYiYXAkx - k6/J1ffijAZjOTJjtN7p1ERlqcYRvTCyFM/V8DSfB3RW91vK5jw++uK3A129Xej6tqOcrsQ8gFq9 - c+bja15MgvSq4fk4hcwWcZKO77d1UE67d02n8tsVzHfHFWyKccJCMeCUd1krA38vTKJn387vl+Bj - 1PfGBrNt2rU86x81GDejx0O661B/zamIgnwZzbyjLEa15x6Ux2E/55GMszvSbPQ9xHtGnC/x6fM6 - 1LDPlwleXk9exYNbcoW4yO54+XTv5hCZxQnqacloV4aRSX/+WBCrkpn31zGl2/JCgdNJY8a83qcQ - 1H/7BS+N7v74fVMbXktVo4/FSIrlnPegOIQWs8Lbo2KzPkP2xAnx71D74ymD4MdLmP6mVvUnnz/l - eMesd1wVtJHODbIOeIHv/carBkOcDqBotTfnZyuV9fxqIbZdGHShRcgcN6pdgsEsRJXX+4bY8U3P - qL8dgYIYC2YvlZcPuudnnW38DKHxx1tM4rtUzL1zO+ZZtUOraXwRq14nfETJ5vlHj+O5voaupAlS - LS9gBB/vfAqNb6BcDBYz2z9I5iBfVxjNfoC+Vh+35ULWruB0ME7MEM5D1cZ1YsHxcLwxvdalor+j - 7AHZVlApWvZmIW99bCBZoy9GIBzQcE/exto3eIHRO/mk3IxFAey8PjKiv3LE7f5RAlyC6Y/+TF25 - l+GSbU7MnP00f8XFDp5krzBXuOzboSmDEqpc2hPjGD/QGIjTU3VytSV0CKN2PGXizMv4hZgNXMzv - slxmyly/xM2+PaKBkR2U8m7WeDGWTjXmZvoB/SqbOKYnt6CsRh3E6KHShynm7bBFd1ud64NpXztE - Eok+gTLzDYrm9UGdOpfR7MeJ9zUMn1vJRkbkwc94Zb3rivc0yMAwlm8KZNqh3/uGWHZEQo6H5ewv - 4g8U0zUnPjocUs6R5qgXo4+Jx2ldTYZ4V+D8BoEZvnTxh7VnJIi+FREPVaZwBn0uQ1Q+debM/qiX - 0P0K+lZY0eecd7kJfQAbdW8Q114NRfOmwgALf3fBw40+i2mXXx107HFDl/V5rIby/ZLhhiqNbI/H - FWI/nlNOjw/78bZhf2soKqNFRtdGeeOsEJ0zKlXcMbfqDd7bpkcheVyPzE5OXjqk4rdEsBW/xMXK - Mh2u0DWwdTtOdJLYJhdM/wDQxxpz4vei4J9YtdBeNnKqdi8N8Rr8J4r9Q8q8SV8WMz87QLNd8X/z - p17UHj8/SCELuopHUt+gfsoIM3qzQpPmloOK69sarybRSKeKBt6vv1PI723Komgs/+gfD+9uwT9G - 1ijZM0hwKSxbk21AtiG62QLl5ftVTY33PIG0Rm8WhpvQ7G+SWaI5f/7pv+z4rq8w5w3i3Kjtj/ve - OUGXL490dMiunTJp94RgV+1ZMD/vzIsDNG4gJjOPQp+5f4BsvTvM5zz3aWvng4zd7st81XLTMfXf - T0TWnzeVVXiZbLq1V+RotMDLbdqg6STJux9fYtYL3X32krdXcBpzzXz9qrUDrXkCbOe5+Df+YStJ - MqxRoM2ZTStEjfY7hJcCwu9J/vpjFK1t1Drbyy8vFiPNQ0dZuOhL5UMRIrSPJQ11uxumuSkJLbu4 - I6CZNzHfdZbm8FCPiQJb+Yvvx/RbcanWD3/4aOha35Zr/s1WZj3B9W1Kq2FKrvjHi6gQWy4fCcrO - MPtZ4soFbsel/+4A4o3C9OVIzEHsJwW+o/7ByjG2quWc31Fj1CuMikgvJqHcK+vZf7PNukYFLZBy - RspGSLFwOHUm38H5pCyPw4mFW/o2Z32MIJRjQvbwDc3uod4SNKKrTNFL/VY06LUnoDcNqXS9ZubE - 4qcB8/oh2GqmYkrMrlMuFk6pgPWVyRxqRXAX8Y42tvxtuRiVAzD3apFAhoXfFHUzATXOF+Id1juT - kXJjAxOjFwvyu1+MeY80kMjWppJuPlPmuXcNvhoKZj1QfzyoRvfVtsDru6Ejvqu5rJ7Er0jC0neL - UZIEjL4XO2FOKASp/Oh5AqeNEBCtNsFsr54nQu3omBHSlW1XgKFAsLvvqTAtsblcxcUJHR+Pms38 - sJiub6uENcIa0RdcnvvR/gMXLLp0fHZyW8eZeAKrXCQMO+0eTQWazhBG8opsF1FZDdf3DkD/bHd4 - 0U77aoivK2ulYjFiB9e02t/7g6OmHvAg+nXFmKmu4FCcB+bHnuAPsdlFSH1Gn9mvYC6d6av58UJM - PW1XjWsjisCxXg+m1/kLidfj6gHHOu/JthENc1nHHUbxs52IsfHOPuUqXoFVpyFerIIwZVjyFeV4 - 2N+Y0xS0mIbjx4O6v7yIczE3JlPgdUK6GBXM4dPOH+d+DN/p0TCyfrCq59L5vE6WcjnrQ+93e+uw - gqN8Q2xD19ycHj2P4JqPNsOEblO+rCsb/XiUdtDidiiTgweqAB0eNLIrJFs9nsBhe3HmRYb/4xtI - vu0FYiXXJafJdXiosta9qJhITzSIWYVhvdtJJN5UDHWpu05Avxx1pjVFUI03tj3BR3bWzD/XFeez - v/jxJkJURfPb4ZY8YTEdNuzHKwcq3ygyb+TItPF251MjnT/KzDfx0G/HYiTRBytdLh2Jqz+wz8hr - 2P3J48FjFfvsm4QAy+R6Y1723pr9Ekysju3pw1xFNKof/0HNxHbMcdUPGjvqCz/ewHBioIr5+XUH - s9+hpejbVZvE3kkRqdDM/KszuzwaVmpziYBtBiK1Y6PiBhwXXbA883P2Pn4Oir0wKFZ10/b7GE1Y - neT9i4X17VLIFQ0c6G5+goX9pi84icoG7dHpQdfH1C8m0zMekIqeyYJwyzlr+kfz25/Bk+bbiIue - 9AB73byYt6vNakzqRwlvJ1xhUd/45vg2ogDmPES8XV21XH0vzxDaHqc3ZYmLcQ07C/aMFCyc+T43 - jh+sGOtRY945Opn8QqkNfH3esCBwDXPmuRg8ox7pauYVHBn3p/ocFvm8X/RIeWMoJzTXC7N69WPO - /fkKf/KLuWN8jCXZho5sLUamq5KOddwOaNtGJsHmjqD+Y3xtQO8uZLtGkQum12iCviYOFub8NgVG - tlMkWSuZqegSn/T8YKFQtQJmvZ6iyc7u3f75GzyGUKHBuvESplI90847T+24/WwpFI+TP68vnA6n - kgYQ39LPHz36eJB26CobBTFUGxc9elMHSjtOiXWvhmqwJBPDPUwUrI5P2eRr2JWQ9cWO+fHd99kT - KfSXN4nH+srvXjfdUNjEKzzNevlagh+g7+N6poMsWf4w91eQcu4TM0cal377UcJt4+AzSz7V93Nc - TbDfCz7zJcMo5v1XT0V1nLNIh6qazuWiBBGLmJFVEBajk4EDc34kxIqFduYtAMvQ3jNtXi9Mgf70 - 8xvzeM8+JaYnKLzgQDCQY9v99jPKcSti+bJNqulNhQlm/SY+ojYfFeProeGmLWm7OK5Rr/TOA5r+ - 6OEhN81i3o/D6ELhRZL5/f14ujr5lUWF++2JxmtOZaSGR0zlLmjToUeTBXM/JES+XdCf77M/IfbM - i5nZawNaUZmwoF6L7VD2dwGC7/rKDPum8NF4W/jn18kmd/Z8kMyiROhAfBLO8zOtbu4DHQ6OhJdZ - X8y82RPAIXFN73GtFNPUx09Qit2Z2V3QFvP+3gQfrXv8eGPL1vEzAfuZnJnVfdx05nkJyKqxpbxG - 6+rnT6DGov9nv6P/JtdMKY/TntlzPxmy0rrC379TAf/5j7/++j+/Ewb153J9zQcD+uvY//O/jgr8 - 83Q5/VMU5X8y+c9JBNqdyuvf//r3IYS/v+2n/vb/t/88r+/u73/9Jf85bfB3/+lPr/92+R/zf/3n - P/4fAAAA//8DALL3VtrhIAAA + H4sIAAAAAAAAA1R6XROyOrPl/fsrdu1b5i0BgYR9h4DKlwkCCk5NTYkiyocikARy6vz3KXxOnZm5 + sQqIoHT36rVW5z/+9ddff3/yqriNf//z19/Naxj//h/Luft1vP79z1//819//fXXX//x+/z/VhZt + Xtzvr3f5W/67+Hrfi+nvf/4S//vM/120fKPkX7J69/uYtkdkqxUaTnSDLhGYIgnfoDXf9zQIPyqg + 0qOIoPvYCtT5vBOL1W4U6NBsdGpdVBPMjukZYMtuW3zwLnI8b0H8URMCXIxPuupTYQx24NslPvUm + K+qpDiwDln7QINDc3/lMRHmA0+V8oH/Wx2ZNYPV6VthJR9LztHAiuD8cOQ1uKyNnsAkDGEXPgh4A + vfQTHJ6O/nbfp+VYrQbXvdrwXo4pPmR+2nPgeiZ0x8OTGve7bRHbjT4gnx+IQF24W/PlQQ2YJscU + 7297y2fSeDsDaV3aFL+yKO5uD/sK7fl5xSZze2vaiEIACCuO1NaLr/82i+8LXGxvJjVHz36Ym+4M + 40DbUfc1N/730TxFqN4xRbx2+5glxazAVY1DAt8jBpPwaBUgmMEBH6y+7ec3kB3YgseMpIs5xOQw + aBn0jPJCQ0l9+Us8wt/7w452kfzuLTYBrMp+h51u8+kn2loCRJcSYP+kdZw9H6sPEFnv4133uueT + bEo36ERhSLTzvI2lwa0IHNI2oX7wTkB71dQMIEIwRUa97wdwpF8oddcnPiQro5qe4VH4/T+82feV + xV+828GX8SoxkteCP9Sjv4NbbH0RtMKDxc5eIWro/S0oTpyvz21vVwBDWJ3J+mnLMc/CTaKDlaUR + 8Zphi+kFt6G2/vbU+crrft6FjgB99l0RRTuZsfQcOgPeWRFgP+131iRoagQbO87xXlhDf7483gZ0 + 56tMsSaGOSPDBGF3iHW8P1nHftqNTQuzsmbYvW/zajqMVgi2r/OLmnfjZU2guJjwIc07bPK+6ocM + xA4sJCgg4R0eAB1dF0Ip0EKkb01Uzce2LeAMdlvqPNU65uiYOnCldhQHk57l7GO6NVTUfsTOavha + EyteHmzHvY0AOb8Bf3iohfe7n2BcyGrPzt5ZhGL3vtBdUjcxv4IxgLb69vHugV7+RK3HDCXZ12mw + 2bgVG8WYQdk2T9igeOuzwHsL0AWpTfr0OPXEG54BNEOKifY0D3xmDbDh9tWMGAvXHEwbEJ9XpRml + 1D/dzKpDG6WFH+OG8RkkQjwnQ2bDZ3/y0Wp3dsCUupsQfOXtm3ryeV8xMspfoCE1oX5xsqxpFVbR + Lx+JoAJajaNWmlCtjTPiR8PMuQnkEI7p903NE2TVrGFmwIN+lBC/P0j+7dPLDFn0SAjbPMZ4PrpX + Arn63FErJxMnPfA+oLGPOY5u7ViRmzkU4J0OCnWi847P5+LoQHXPQ+oEnZ4P20FloLncKMVG94iH + QxGW0DOmGvvy9LRerrQnmgUuJ7xN3B58X+FmByuklxiZF7nveBMWkOYpRorJ3VhajvVdV7RIvytP + axKALoBB3DX4wN6nfuZhdIabNxkRbzPEJ3eYd1psYwt7Tks5a+BDg9kbDHiD+D7m8aY09cxOv9Sq + D4XFi9QRYdJAgIOjSfK5Mj0Pvk7CCh+edmbxRhQEsMST7rrC6yeFq+xXf3Tjmr4vXtuVDXTbTNHF + Qi/O+uHDYLf+tHg3GlbOHIK/oAmngWjy+V31dWGcoeWnJvZQOljc3UwefBVfE2+l4hvPrZmfYZGf + PBw0MK6YAeoAGOVaJEyQT/EUpWCAiW361FC3F3/8pq8vDGR/IvoBUJ89m2z3wz/qS0bNa9jeFA0k + DsR+Y0VgvIH8Bj+vbIXd9fCNv5mr22AjzAU27k+Z/4lHLPucblZHBIZbePxCcncvdKfJqTV2zbPW + YVmc6BY6+3h+clXQwGHr4SDiXs+U4SPC9+im1LisBJ/lj1MITUmp6M7LaN+MWmnAJHzdqOdNRi9m + GRG0EoQKRj6yc3bU2KwH0ZuSKevynEsNz2DuFgOaJ+HqT7dHcAUbSQ5poG5v/dwN2gtyVivYA/F1 + wd/1Fz7VG0HKVIo9vTkK0eo8VOk2ynDM4aYM4C/+5nZV9GxuWxPGeSQS1dlbPRs0RQG307ylZhmo + Pj9oZQGR6FF8gJ9rzotsW8KxINmCb1NFysIw9PueSNhr+dfil3YFQVjIEvanIvA581JZWwM04AWv + 8s+vX8nSaov3KTLzr8XLD9wcdiqB6vZWsUiMP/DpXnME80iuGEsvwa+fYucEo3xK27sJurKW6O3y + vMaDMnxkeLDjBKmNcLPYyo0S6KW1RxPDFwE3RCuEOgEnpEvat+J7/hEgDMcSKdPtCcjJQgxEO+uA + eObsKrrHig1LqHkUZe3R51IDMiBFZ4Z3kmpxqUwB037PtxszsH7xgvdX0mEvq56caO5VgdL6ZWP7 + U9d8OnjpDgogIPjE9mZFwvT4heort7EXf5/WfGpmAfqv8Ljgw8YiH/GWwH1Z93gn6eeevMZEhJ+T + Rgh6hyMfjpoy//ACnaN1Xk339NuCLLof0Hra5hYriicD3y1zcTa4A+cnrDjavesa8gT0bJFooyhw + CF8Vde3G42wafQ8eouuauoS7gMlFtvChqkIk9NecaZoiaHwNROwu9T2eipcBl/5Koj704qkYby+Q + GoVHfdv5gLmW9iL095879rV8FVdq8WKg29cxfSz8b4pFj6m9aETUnu5NTFyt9CDdaoxcwYjzyeRT + CeuSXjCyd0ZOQPOEUBhkg5o6CPwpsR4fICE24oV/9cNQdDJMEyPAyXRv8pny2YQN+VpIrvcmH4h3 + mMG1dSVsbNQneJ6zQAMPie2IZEoT5/fWvkEpShjdO58s/gJTZ/C2/7wwVlabmFVkP0O7f3wIOJWn + mF/cOtAdwkp8O9xe/Ns6SgGCNbdQZyETcMVRZLjkC/W29toas8dKA02zMtBnyX8KhlmBr9cj/K94 + QW8rQ1589tQSvdCf6ZhosOiKkaJTEXBGm8yBYn6XsevsrYp6aW/DGaThgsffvjMeQQhNGwnkebIo + mD6jdYVH45XjfeZLfPDTbwDNQNsgzZN4zL7hkUDuFpyo3nlv0XozRfA9N2u8Dasy5vNmSuAVwhxb + fV+B0XgEEcDpCpJWUis+qePtC6s1WVNPN+qqnYpjBHs/AtgZqmc+k4fNwFJ/OOhjkJOgeIWQCuBI + DfieAKfpdQeU8Lqh2zVue7J3Kxk+1YJQ3wjyfnaKyw72RNbJpGpvn1lF9wXmmxtoZXSr/ENG4QsU + tRuxbZ6bijvuFQLfqAfy/qZ+PnHXvcK5jh+IL3qhK0VThvc8XGNbvmb9LKXOF2bdS8DGLIXV8NAU + UV2HrYqYvmnjyQdeAKAfG0QwL+d+GlMgQ1JBA+nJquxHo3lmQEmJTn/6g+6yogUnQ9KoIToN4Gp2 + +ICFzyF+eN1i/ja9QpvDIqLB+vvk7FVoAoi2s4mk5+pRdeewsoFcvloyduqWE5V/NHBEwEFrHvq8 + mcM+gG3DHCSOT8XnZRNCGEfvie528pnP0+MOITajiCjmRfzliwe3bmLQ3fkixp89cDVYbJWe7h8j + iadk+AhQvowr6m0UwxeR6BWwtrFDhKPyjCc4NjLg+/WTrOZTnU9uWBkAROEDW3g8+Nw7bgXYvR4R + RVdJ7MdT8TWAXTsDdYq0r/hqM101uxiChf+s8uEFPFM7lOWVoopI/kREU4GJbgzoQzIW842j1EDO + 7R3Oiqn0v8isM6AUjGDDIgyQV7smCq93b6TPsupPnjnsAAxpiQg/Rv2gA9OBOlFP2OOoypd8+WgB + u+0XPXixmAX0DGSJ/SDa92SC8VcfRrLLkKCdap9bqTNANxyP1E5DD/SVG9s6tKCNna+c9owW3IRM + IBfsKJ8McH8IzzDYbQuK11Has8K8Egij80y044PlC/+yITIfHkbPx1Qt9Tb86f++LMV88lw3AFqS + iqhJaeqPgjZFmpHYGcbS3enJBcg7+Favd+ytsOPP8zE14VCfGHU1kVQ8GjQCs4Mx4u1h8+6n7mEX + cFXMjCj+4IL5DsxaNy/XCGl08KqRFS8Hlo18IRdNRD0T01cGGVnV9EC/L593x0cIlfk84aBRSkC8 + sVFgkIcz9vlIK4aORQh+eF2cioGPlluVMOreGL02Zp9PQ6PN4Ku7Gc1X300lnYqvCYrD4Y16yajB + fM22CARoftJtfsScU2AK8BoWPvbRvK34tgllbW3vPmSMozOfvwVY6mmtEekrjnG14KXuvAdKkR+l + 1tx5u0SzLkWDhO3zCpjP1RBYo/Gm3rboq1kPN0ivu+uNWvSI82kP9AHqYfnBAXSJRZqhO//yjQYn + QAD5pEYNiu424gBWZj8nfNJg0F1PBLra1+9NIES/+qJ73Tz408e9vjTsJhZ9WMju1xmfA21q5AJj + 4dxZbC3hBFyoxagrnN8xe4dGqafsdafOnt1+fBaBje4GpMmPGHDbdRmkSVwQlnl0wWM1hFpyEmng + 04vPt+3pBZN3e6A7IkUxd0EsaF6dtkQ4FQMgCZ8USPBGRuvHiGKuhb0M+Wll4z0PezDOYY9+/Rk9 + q3HoeRdGLUx0c0DKFow91bNCBL9+4kZTmbMMxB6cRSPB5iRcrfGcGgjw1/1E0RbgfMiLsIVDAUK0 + zhpvwTezgIloF0g+3p7WnIf9Ffr940vq6ogrei++X213wCW12CeNR+1xJ3DiwoYie1fm7NyOCqy7 + 7Ibt7+nps1VLdtDvmgMZChHn60aUBVjdtxY1hPlVEcH0QngqyBGjp9r6U2MOAXyz8Uo3xdnmf/T5 + wT4m1HX2VT8+wPAFBwL2qHqEXsVXzSuCGvq6dOHbsTR7yP71ZyK7ArD4w9vVcAKhTrSNUvqjIgo3 + 4IAKEhV2OqeJOA4gnwOLbp4vACaFT+xX74RZyS3nPK1CsPAt7G1gxFnsbT/wsy8NmmFk9pOYFQik + iRnQhY/wKSoyUcOjH/7w0eJz4VzB8RUYpJRTN2dPs1eg1ntXajwtWn0YMG2I2/2D/vwYck2dF/Tv + O0g0jqx83R7R7qcP6aaVGJhRe4rURd8j/Xr+xMw1RQHu2Ctb/LYLmDEwS2iZmYitTtv3P/yHeSpd + acCCm8U4yEP46UZArYt+6pmdBSX86Vfror4A+4pmrc9u1+PXCYb93LZ2AJv3+o5dsr5V3dCub9ri + t+HN9BgB9YfsrHkGr9F6ozkVe4jxAG/JRUCJ2Lj9oLb+AI/dC5LXond++lA/JvadbqbHAchsyAKt + EVNCJm999ekuvWjA2EIJ28be9HnZnr5AUN+3hc+31YzMIYOTWb2JNPin/Ie/sA1rES/8zJ87d/OB + etpeMJrKczxRhwU6FdQjXvhJxZP0KMBcLVd0a+b3/Jc/4PImIvrlC1U1Vf7Tb92jUVtUDDcF1C+F + TKh0/1R//BQ3nUxsx2T2PxQiBvtLViBNN+p+OrTEASWZ30T0pKli57bR4MJ3sKFuVX/smq6Gnlu8 + 6R+/bW9eNbDP8zMBq+TBBzF0aoDCdqT2dbYq8vMv4ss1pUbgejHbhJcSsPfng9EqWsdz+QgIXL0S + jgNt3lncEP0Idlt9Q704WeWMiQMEvPcyory/Rj/LYV+Cbt/G1L3o65zNzfMM5ctNXOqnjieJl+0f + /QjMdIhn53GfwbM2MN0EdQUmuwiZ/lSp+vNjYt6A2w4M7m0ik2v2Fv0UxxIu8SJCil1/4QOtFm/F + E3p/0z4exeyMYHTYCUS4GE3FTFe8wvrSv+neNQNO7bCqgdUIMpHjI1vqVS5g864jbOibXc4uoVNA + JltnomXvpGfHzK5/epD+/IchGG8OwGYY4e1lt/Lbujiin1/yB8+6PnRE4I1GRwPmuDE/jusM7Lpb + SxjFjUVz0b8CY/29IlANXzDJbZtA8mpU6vvfZ0622buA+Rir1FneJwvcKoJe2npItsI+Zm7byFAY + RIPeFr9ZzB/3EEh5JKDmPXT+5GiqCYDu3//w6+nxuNdareOOMC87AO0MagWc1HdIsiIX8iEeJhGs + id5S+0FlPsPsTbTH+1uhj8y7irV8uv76Fd18065n9pFetfN5/0RUtRKLGyPxfv4hUQl3+WRslBKO + JnLwxj+ifvEXPjAfjyrdbR7YWvicBrd480Uy7u1K/oTVDSz5j5Sh2uTzuFFN1WqgTHebrdaPx0b7 + gB8/WRvuEE87FxLt3mVXenDqd/zjGzCTNxifL+BgEXlcRb/7EbYPu4pIqfGBC34S/edPpSAx4UE3 + v9hVrTmfzlmgaEt/WK4r1sAfdgBNKCSk3IddP9sbJsJVJWyx/1kZPn0M2gw3eXDDm5ufWKOQbXfw + 1gc13S96YnZF34DadrUjUtrXMdVSA8JJxAF110y3Ru5urkA4W1ck9WgDpjHlsr7MD7DlNK4/5S1B + oBfNiPpmGsTi1a3OcFTPAQ5YAK3v6F5F+IjumO5gVYLx9z6XeQJRkIgsyXL7F7iQuaG72j/1rHfF + Gj7BzsC70ZYt8jClD9xEISLzJGh++xGT8x+9FZwv54WvRCUM56uCnfe3rKa0PRlwmB8xWmf+iTPv + YRtKhIaQRoe73U8PMHzggn9Iic4tJ944KnBVMEa3fqID1jwCB8SS8iE/v1H6+dtNdBXQG12S6s+8 + xAqnF3WMugHSm39e8KfXdg9kWhJtfQHwOp3xZvG3RuFBFCgl+IDAVATWOLg90Vy3e9Ct0pJ+hoXj + wV8/NdqzXRGjPSHg1XZO/RVJcl629w98F3NHzYPFLNo/aKYqjVzSzcJ3xnqUFfjpKKBWV3Jrbs04 + gW+j21O/ue9jngBTBhcRb7HLvCOYDW/nwU3i9IiDKPGloV0XcGNf5D/xZfpjzQBs3RW21Oeak00T + vvRs/XkS5TvXYJrDCsFfP7qfRdovfC6CL7XaUGdwAz4/vLSAVyIq1LkYFee2h24wrE0Po09l+X0X + RjXs0NemW59E+ax5jxaM6jul2x49+TSJN1uL8seA5Ls15UwMnVbT53uGAys8+LQujAQW0RXi7QSP + /ciArkAQRQ9qnzb7eGhAjPTDpfjQZf5kccHNEVjmAfRQ4Q9g3iMwoVFKIrXbNbAIzooEIjHXSPpx + 9rxPgCdr6/T7pTsQ9tWohoai+3cbLvkp9SyB6AujqCqQcoJzPOiP9aw1l4IidXPf9aMPTKRX8rah + 1iO55+KCv9BK1/Eyvxl9hofyC+RAqIhSpH7Pb2H0+vk51Fv8C3J0I/LT73/ux7betoWljxq6dVUr + XtaXcOzvImIX4Mf8hJkDV+75iI2krvrl/d/grfY4iUiG+ikzawe+9usbPdBwrCZqpbPWNLpBf/x3 + vgBhBy+XZEcNSTWtxc+NoL8mjGggvoJZ0qZSz/I8J9rz9ornS/E9g2W+QI26+cQjb7IC1pIyLvqH + ctaK8g4u+UaDy1OL2SjmDAQ3xcbuKwt7CpvLDq4bdqBHQGWfaKM/w83OctC8/F5eYSXQhDks6Vay + Jc7qtoFAVBO0zEtFa3wOTxNW62GN4ANVgHeidYP2Xm3Ju5Xmfl709K//0I2coXjBpwD6e/DB2/Ag + VD0sOASLP429DqCcvIHgwLbdxNh3H6z6ow+ehayh1e0tW5MN6hIaeZ7QrVR4Odmm3/nH5/7wQ0rT + aKf9/ESFU8WqV6MfAGTvbmQ63e2c4eHzgcK49/H2cjP4Ws/O4s/PRkWKO6uzi2yGTJr9Ra+aPqvS + o6f//PhiulUV2z1WJRQahqkjmYec/fJpL+YKdpZ+OL3M3IB03Z6oo3hTP1hAv0KppAW223XuD6p5 + lbWF3+P98ZmBEWc0AOMezEjM3hFnFKIZZgKJsB06v3nPxQPZFkJSB4Hajz98ywvgI5bUVs+u7XoH + 5LJs8e1oopzHTabo4Z7bRDuqNWCL3w8c3Udk1Wi9NUM+23DhV9g5ve7gj38wnq3Tn/knPWjl7c98 + dPuOxH4GzVP44z/spy2w5jkVPXjsLxe8lewTn3EBbuA3v/NoJFtT3nQvsA5rFQEjyKv51GgCXJ23 + I+lwrOX8Njzrn99HzZ+eV91qhh9WvvCu3ptgvIZiBL+SfKNLP7PoTz8tfICsClmt+C9ff/N2/9MJ + OV3wTFux4vzTY4DJoC7g379dAf/5r7/++l+/HQbt5140y8aAsZjGf//3VoF/X+/Xf4ui/G8q/9mJ + QIZrWfz9z39tQvi76z9tN/7v8VMX7+Hvf/6S/+w2+Hv8jNfm/zn9r+VZ//mv/wMAAP//AwBL3+oQ + 4SAAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c679fef10a63-AMS + - 7c965f4c38531ca2-AMS Connection: - keep-alive Content-Encoding: @@ -213,7 +213,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:12 GMT + - Thu, 18 May 2023 19:05:33 GMT Server: - cloudflare access-control-allow-origin: @@ -223,7 +223,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '215' + - '87' openai-version: - '2020-10-01' strict-transport-security: @@ -235,13 +235,13 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 9cc2e20edc6745d36d0b0cf07a33525f + - 754c0121c6601ce8e8c4fcbc7e365cd8 status: code: 200 message: OK - request: - body: '{"input": "This is a sample text with no information.", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' + body: '{"input": "\"Sample text.\"", "model": "text-embedding-ada-002", "encoding_format": + "base64"}' headers: Accept: - '*/*' @@ -250,7 +250,7 @@ interactions: Connection: - keep-alive Content-Length: - - '119' + - '93' Content-Type: - application/json method: POST @@ -258,120 +258,120 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1R6WROyOrfm/fcrdu1b+ysBgSz2HZOKTFFQxK6uLkBFcGBMAjl1/nuXvqdOd99Y - JUQDycp6hrX+419//fV3k9e3Yvz7n7/+flXD+Pf/+F67ZmP29z9//c9//fXXX3/9x+/z/xt5e+e3 - 67X6lL/hv5vV53qb/v7nL+G/r/zfQf/89ffe0TSqP+ZdPDU0kFXXfojUuKx21uhKaxmcQFeoF6gq - ovKzi+BUBgXFmXKxZlNVSniqs0imJIn6sYzvC/X1Wd7Dl1YUMY8OrQTHTVLh7/950w5VJRxYIoZw - nHuPrsMhBaDMJlJ+Kb2p++QluonoRL1US2MG0vINw+rd4tC5PrxZY2WjzLDl1FwseqtT9XWhbvWV - HQrr5ZxP2qEsNCffxHRj2A4fD+ehgdTe13gXjVfEFr0ByFqWe+pJyK9ZE20TlAu2Q3fsSGMurDod - DuwoEiafR8Q/89JGeyd7hNNKqzk7CK0LD/kTYY9niTVlo7hQxo1zpRiLvUdOr+gNw6UIqBG9l/Xr - ZA8qiKWLaOif855UTarD8ZQx7PWsqXl/731Ap0VA13XxRvO6F3UIjVTH7uVkeKx+wxO2RL5S77nt - ERGSxgcwHYsm96jz+HBtn3BLDzH2TrHLSROoOkqKBGMzPELOL7zowNw6L7x1AqmermUmoI69Hewt - rnE/Lz+FDEOztYhIGhRPlXcpkDzdCd3Cxc9pNtYyOL13IqKzbK1eYtasYb+zCKIV1JPHDBM+Bj9j - t7lQi37vg2UlOQ60rO4nfDUijTmJHgrBQ4nnXu912CeLE3Wy8tzzzUY1f+PJNPSdxR7DxYcrslsa - zOe3RdE534Ph3zXCy4/Wz+eLsoHjBi3IMpOderKOHx+GpszDuYkYZ0hOFyAF+wqfq+yTT0H3TIHL - h5Yaw6D243DbMqgPaYIvQz/nvO3YG7pqm5BnLZbWjJfsCbEcO0RQ47Ce59LZoIeyHrAzrguLaIQ7 - 8EolTNdHd7S65P4QtLM4TXiXnNyYFdt7hTzIN6Sj6iumEvMYiKZ5x8Hx0Ocs3wX6730wrjJaU/wI - 30g0X4jMaP3w5saTMyhKluLrfQCPnItQUBc790mdNm6sYZdyH1bv1sS4ilprqJ/qAprumdHEhirm - zO8LZFnKCgek1LxJOwhvoIXrYkfGuGer4F2i0JAz7KeFXA979SIDO6sNxufty6MeszbLVWr61P6u - R390zwQsZvZ453kSn3ySl6gV8w2Rs0/QzxoDBvO4PNPdUHucnuUpAmv5iYgkll5PQkONIOlUi8zX - 84Xz4r3ulLPIp5BVxhrNN9TLYHSmFkYnwYz5GZoU3avXC4d7525NO0UzkVg6iAbG8OZTeQpuEC7a - ngjFOsi7TctT0PXmhg+XJe35qqMO6lgw062ntTG5oVr+rTf1zXDlDae61sEp1lu6uyzPiDnloUAR - TnRsnsQI0YYgSY29XiUlDmxEnwZqUJ7UDhHWdJ0zc6Un6HseyTK+OZbUm/sKdN2xwxmFsjXSfVoh - cTEx7PEI93zjoA7WzT0NQRPGuA8r2KBSO4fYS+HD+XBfJtB0Gx1bp7iqJ3+4qOijFTPFVYZ7Oi+d - SD1EhOPf89L99XyDiYkM26qf1lQpuQuffbSjXnm/59/5GtiSzKI6ThCa2t5tYHeOdqFGPrE1W6LO - 4Ho1MDbdWkazkAiJGrtPm5SjXccMLwwT3htTCWc+TNbcL9oE8u1NHdXLi1i8+1zfqHrFVfg2fBoz - fhs6JLPlkTSv+mRxZ0kFSO2opnZwifiE8uMNFrtuES6nQPemonIS+I6n4f1gcMaLWkerj51hfE4e - 9XDsTylaXxInnC3diKXveUfuY2PgnTVJ+bBsiwLVhyyheApKjxExLlGPD0u6ni8L3snbpQA311n9 - 9tv6xkuh7oQbJw92XXjEVHwdBfVKp5vaXnhTHLAGHp11I1wVSD7A3ITo/G4eNE8FI2d7Od0DVo4x - 3r69Dg27FIXwy/f+wdj2NKzARi7Dh/ApZXbPnxpL1MvtLVAHHy2PyetSR1RJBOyidRszeSvOCG01 - kdrFsUXzyiMLtEp1n9of0ll84SkMmVwSqcFOq356S4ML7JyG5LGNRas7SHuCrv3LIuIn6HJmIusJ - RgYU4/M58ub7qmxArgQZ66NtxYyIeYm++IIx1qaadZvL8MuHeNfwFLFjm8+Attec3GzBtlgWth3S - 9e6G7YX16PnaFffQKE5I/uDftoo30D3egL1+UixunpmjacMjwRbtVMQyHxwkLgZCT0ov83c0iwT4 - peM4OLqneLTD6gjVc9gQIYgADdHMG2hfSkk3Z2ZZ43bt3uD41FLssNGpOfPrG7JVdgwnRFd8+O43 - 6OO8pro3hDlPlXWKqHpu8DY3VvE0Zn4J5Z36dLdMrxYR47UP5mu4YEdI1vXsHe4mgoUUYROFqTXP - 1UmCkJY5zlaFnzPpcOogbkMVW7385tNwYRm0gjxg97o9eczHtECOcpjCiQUHazyZ/R6sZbWnemVK - 8Xf/ZoizfkOE9crjgnQwKs1vnkB12TnErZUmR6iEiODdy3jyabaujXqW3C3GcnOwSGe/96DfSU/t - HTtxqlQCU1diF1I/zRurzT/KBhyl237j/caZeLJneH3UK95ohmkxCRc6SKohhLKMac3SpNDRu+4Q - dUtq9KKGZ4DGX6TYDfOsnvD9bKJSb5Z0j099zN6nLoH33G3x1lkziy52soPal3DD3qH65PQbn3A8 - SQ7Wk88rnufyGAKY3fUP3yFIpq4SnEI3XNl5VU98SQoEpmvhjZ9UqKnfTYGOm2OFfbqtYvIgRxUu - +u3yxVewBtaqOpqxgKh3sUlM8OIcqk7XIYL45VXzC9dLqLa2jRMxfVncH/IFZN50o1hY1PVcv6VG - 6xiesT76O87EI2vADp83bH/z91RbPNRwJz5C0RipNcrvh4Sk4siovV4Y6CVyJsB7Gk7Y6pVz/MW7 - CqyDjH/8OGedvd9ASQ460dsjy0f5KSRorMUHQU8c5fQR7HRwY/1Df/tLyfEqIEm1BNIf+kXOBaXu - 0LIqTGwXAefEuR1kiGV/Q/3j3FtT3kPy4w9Ul/E2ptFBA5RzJ8Ghn/TWVLzPA4rgM4Sr6XzP2/Lg - hmAonxcB6VFx/hGGp+yFk003yoFac2dHLgzeXQwfK61GNF15DFBy+4Tz1jigudvEDAKevKlXiAdE - mdOEsD+rW6qPQZZPebeRoDgMLr2/Pe7x8Nm+0WHaf6ijm23+5VuAsvZSYotH25gb10YFcYkdvDnL - bc3sqR9+96nH3dbqvYm9oce+FgrFKfuux2r+8T281evW43LzqlC4v4U4mM8bb6q81xMtREkIq+cj - iKeu3keqfj/E1PniDfkctD1arwwfewXJ0Y8/okem7an+6irO5We3V2vrCCF79XE+rbo9oErYE2oO - nsr/4NFXPxA18m/W1BBlhr348YjC/AYxXW8iuB/vu1AalydrGBYoQ+edeSczF8498b3MQeEeGhrc - +ezNQtKE6Hl1OXWWSsGnbGwFSPrrHePpptXf/HFDHrofqbGtDj332DlE0S0Lqa1pYA0NVt4ILKzQ - 9ewY+eqL78gUxJa6W72tGaWSDKvPJqObSb5708neM1i7Rwi1+in27HOSbrDeSRU1t8aE2HpsChUr - wki9VHjk5JytfSi1VRNKyq7pu/dpH2nL2rqFqJ8u3qTmegLrz+1J2Df+VvW6mpG4f8c4JOsKjS81 - 3yP34Vl4I5Z9P81GoSPmCBlZGMebN/CiN+ECdE/UMFfrYVxdHWDia8A//djxYrQRVZiPrU3q1d94 - kZE9hCXVdffT89kwvvx9tSCq2276mU6kgO3+2JHlT1/dlUUKCtApFEXFRkOvlwt4ZGoYVqXMcpbc - uYzqg8pI9XC0uNVfYwJxw6tQqLV3z8vTtoTQ0Aq88fHAWUztCq2ba4rX+wez3sX6DD9+HSpJUCNi - 070O/grPxHIPYk1/z3dzA4WuJcPLefeKF2D4KcIBeVc1P5mXEOQqL0MJEPRcYt4Mpbb3w6VelWiw - xEjQqu37hp2tWtUzG1dHsMp6TX1NGHM+Gzf7C08+3ZBN7424ZKk2zscYh/Hyg5gXmwVa1oUUrm6d - EE+fuVThdNiFFOPRrlu6HxogtAS83mHJ4z++WOrOix6sx8P68oMOohGkcEE2cf7jbzLu5js1r2HF - +ck8hJpyr7ff3ycWT5Ugg7X0EchyHLNffjahdYgUPoa6rodfPL6kRU+NbeZZ87OcGLRbYv7RQ8O2 - +vhA9vI27J/bnk9nLXyDa9ci9WgF/djXzwwFmzHFrrWX6n7j8A7qxzWlu2Z2cuFqRA0kfXYlitVi - TmNP2YBuYJVIXZJ6TCPKBiYWHWmwC0f+4tpTAgWcEw3P8p/4v8F2cV+HLFnN8fysUIo+2tKnoVhy - zs9QplptJUCtMimtfrk5ubBdXNfUX9hZPhyEhwtSj9IQzETrqZW4DRxsd0m+fNibDud9pR1ix8OW - ezjV8/IVR9BF+pEa0YtaJGJgQ0mGFO+Wt6qexaNK4KLXObYPJkXDg2QSdNZCDZXleegnXLJMnWHN - SambhsdP5usI7xrX1HN3q5zZ01JCaZUtse49P5w+gpMLrXjZUJvucm9Ork0IW5Ja2CzlfTyrC2uG - 4sB97M/tLuZ5W3Za7LVqqKB36zUmst5wqOKcoJ45PT8jbAL1m2dIQLHQ5Hf7vXaTjiP5fPX03Ozx - DGMdrak9q4uek0j/4mGsU+vQS14nb1cC7EWPh28STj1J0/sAv/j1j+pU98a9q9D3OzXL5TsnKiQR - ah2/+OpTWjNDF7KfPqGbCs41W34iAenacaSBpFuWcNn3e/Ryo5w6y6UZM1X3MtVG3KFemTj5VNvb - I+ydpUaDr35mwwKlqHvYFXa8fuPR6NAK6KkyMXx8zwNFuZnBly9Q3Ap7jytV2QFWz1u66U6f/j2X - hY/ch23Q6JtP5ny3tZXNHIY02G1XaKi6eoD2dbRpQraoH6/VsYDP/uzRzbgUvRnmKoKS8IzQ6rHu - p3syA+Lu+/XVHzePXZf7hda+Eht7i1dmzTb/ZFAlwZHMnG89PlveE0nBDCHqZezRfb4bYMZIo26Y - dRbzvb2tVduNTTd31+rFeB+mcLCfZ+p/3j2aL8eiACTsetytnhGahoucQvUkG7x7maecJY9HqpmJ - z3FA7kM/nsw6ApnJEbZNfI9Z6zoCWk6fKBTJp0PE5p8UbunQh+M+NXIhuc6R1nS2Tm+Ko+ei/GzC - X/xga2V1iB0/kYsMP0PYO3QBmvS6J3CPF5RIht1wRkdxD7vzyaP6bW/mk8tlB7bGSg4lxVW8Gckf - F+Ei7HE4LbX4Ve1q0MbjcMDBvr1xXq8lFWxsy9jvcYN4eeQpEFoB3ig7px/u0jqEyX7K1FqcbPTF - TxVq67Kg20xhnFliJqAv3oWTZzUWvfCiAe8qRmRZRa03X/YHX1Xb1YWsqniK+VmdVVDG5wPr3iuN - R79L98Delk3gsCPeZFzVBRrnyzf/NE8+L1szRa8mXVEc3xqLDSpzNSO/7+gvP04P7DwBzOaKndc8 - 1awUzgTsazMQJQQ1b/uHpP78G7rN9Q0S5jJz4LzT7zRQpnc9uOeAgH4PD0RMzU3PSuFOULjoe6qz - UY8F33v68PVTqIOvqjXlrUrQF5/DBQkVNNfvqtRwHynYXq96PvHl+wbxKjqSN6Cib+3o9UQ4n2Ia - TtIm508DdcrXzyPTssxj+suXhJpVOGq1Wo/f/K6QxW6mDjiXelIeQYi2dwGT1Td/MDpqEZJ6IcGG - NYXelz+YsNoVKVGQ+OqZujgJkHm+STOqrmPefYzijx/mLGU/nq+G80YpW/BwYsetxWNvsiHnHfvz - fuTY7gagOZmJHK/ffdP65g2O21OCTY7Gfi65UoLvgkr1rBHR0LrFAoihImokp8rqNCYw1NkWhD/9 - thLFJkPXMLtQ3Xtu0eoRnByYcfIg6Mfn6+2QqTtB9nB+8p45318KH/Vw+YTstvNzFAfzAMIMB2o0 - aOVRfPcBff0E6mz5UPP9Rf/i/SkMlej55vR33otl4n35mpETvJSfPz+J+sfOrumXP2vcK88hIeGF - 82QhOfA7vzpOcjS+QGeacDpiajaXN5+ReuzQyVzr2N6VDhfOOesgzpwBW4FSWS2JSKRWwolR42UG - 1jQmu/2Pb+LAEDU+NYynUJfFk1oSesbzs1QYlPfRx45w8605XIsVPNraDqX8sakniDsb0kn70ODj - VxYzlWTz879/+h3N26fZwJdPUnthRx63jjsdNuuXTr/xh/7Mp8rKBztbxL1PuWeu1sWGQ9rodc4/ - EO9N6JjD6G75ufTsxw+a7p0RqnfbuN+htAAcUIXuHnsjnlLRsZG/ejrYSMLBa83Mk2Bcdxbe5Bnr - nz//hKqnJhQOuxef2tYwwb+UBOMv3+Gb7caBwb0aZD6JM6eHU7pA2G8swm67IeZWkszQBFb2fZ/Z - Y8/HGWC7sEZsfz5Hi0/rIETvtb6m5uoq9HR/vReoOBA3fO3bpOeeEB4hXcdnvF5fK29YBe8K4Xw4 - YOPnhxN+UUFexzJ1v3yDdnV2BDPpPBz8/LzN298DEjYtQcEs5HPce0f0O7/zYFpcuCFxgZBgt9g9 - Dba10nCjopcrrmjQSbSXfHzNYPEh6R89OhOeL1CbsD2+anXWT+4KpSCa+p3+8u/oSoGqLFJ/pruh - eyD+lrINFOVZx35/FxG1khtDp8P7TYDqQz4f+3sBWEGU2vXi7NHiNZXQ38IdxeM18IbjJ3Jgl0gT - NZiv16I3JwxWYhPir5+HmoP8zEBT2xnrN7dA3/pPB8Pq2WJzM9lIdLTBBRq4C+x/3h4i7/NFVb7x - hHchZHFvpnakmQkNwu6Ayn6atj5DFw13eAuXIWeF5bgwzoh+82WZD8tPJkH+soHuttHAJzu6FNC+ - pBveLT9KPbqcuXAUrDcppGxA8/JzVEGOo/1Pb3HursQb+KvWxWaTrXJe7S4y2OjMQvl2yL35dXWb - P37cD58pxKn507sUj6PqjVaivzXaxxn1P6Px9Yd2FfryOXoYhqyfhJWwQVogl9RP40c9V81e1z4k - fYY/P34Kmo7Bw1ckurusDvFEosjR7rO+C4W0fudzsBs6EM1KIRM7fv7gkfL6aHf89adyntFDpn0W - 1zf1qRMhoa6UI8jrg/zHL2Z3eSNBXS4WZHE/PNDslHEJWv96Urvw63iQt22Hrn1p4NPsPHIq8llG - qS0u6e7xuCH+80e+9Ti6e5RhzK3jyYFzao9/9P4KXXSmBRt/QXchr3MmZI8U/MauaPrlb0X9nBcQ - 4Yv59cdEPtfvRQd/6gXi3YqHYmtl0HSeGVbW4Yb4du2X8F6X95+/z//4fTyzPZp/+W6jGEyFr99P - dbbQ+Ne/dAHKWSGr+L6PxftxOsLDk3SMM0XxhmNLVfBXwUy/fnRMWtdVYb16vEOGrwfEBlCY+p2P - eodqG4v389b++Vukdg+nni83Ox3tHRlhPZEM9F/na+lucLA+WUh4sOIGxWE/09CwJ4vC6dKgL5/G - uySoOf+uDyxtScfBvV5bzBIJwIwlhI1vfHSU7gl89w+bg9v9/Dkf8g2UIcMJ4k9jMZNffIRCLeqe - dGyNAd3XV4360qNCw7nwZ6RrF0p3L1OMf/odfet/2JceJhfxwy/hWy/AZmTTuP35tVZ5syg+J0Y/ - ctSHMEVNRAtqFJwfHQPgh1cNPvG6OUgVQw8/yXBw3D3RvOh9HXTdtUMkIb//1ls34Lu3Evs7Ovat - sxyZ+uXf+MCuN2+8TONGTeNkIh/Hf1vzajcmEDxPGV5rdRQPvdk91SNfC+ECVCGnJHI2KFHrMbw5 - Y2hNdlglf+pvTkKP1nhPhacWN1NFPuPLy4felAZ03CiLEB36W/ynfug+2is2H871q/fzhXo+P2Mc - ffPP2D8kGU6UGtRznTeiF+5UsNVuB4ohtS1WDa8E9rvLCW9vc8bZoMou+vmL+aELeH9GWxPe87gL - UUEQn56G8v7lSwKF/fLm9/kig3BKcDgPrpvPy1cegbh/xqEs3Hxv/Ahd9av3Ub/WCBrzZh0iNyoD - Ejrv1FqdVVWFXz3D+/KV4a4ICTyvT4/exY3rMT+4EPj71xXwn//666//9esweDfX2+vbGDDepvHf - /90q8O/smv1bEKR/U+lPJwIZsvL29z//1YTwd9s373b832PzvH2Gv//5S/vTbfD32IzZ6/+5/K/v - XP/5r/8DAAD//wMAYFCOa+EgAAA= + H4sIAAAAAAAAA1R6W8+ywJbm/f4VX75bZ0dQoBb7jpPIsUoFESeTCSAioCKHKg6d/u8T33enp/vG + RCQUVq16Tqv+4x9//vxt0irPhr//+vP3WfbD3//1vXZLhuTvv/7873/8+fPnz3/8fP6PO/NXmt9u + 5bv4uf3nx/J9y6e///rD/deV/3/Tv/78tbnzkZluPFbD1lgioFb7ohU+awF9vvoGAkfz2c4RcpeJ + jw+G7SnWmNac42XZypICm17a0tOOPtJpkvhCeiyqRkHhxmAaNmWOLhCExE72g7uUikVRWd0BP9cG + r9O3k3Kgjg8Je4GTprPEByP6js+cYXXq5pDYAmKSvCP+5Z138/QpE8icVmT7x0Nzl0TNNdEW6oF5 + vtWhUU38GHDXNnTD361lPH+aEE5HIyVO9mHpMpWbElRRm5njmFv9ZQpUQtQTNDrnthtMXmNxwDbs + gyWf+O64POMa7R8Jwn3dd0tfk0cur9XQJJercwmm7dYagfDqmZnXydWn89kGyeDLmT5dOLujK6Yr + OEJsMEKueFl47xCDi8sJ19kq0F8fxGcwO9lCV8gqu+le7AvUTKVHsIT4jlVaY6FmKjw8hXmQdrLR + 11Kd6FtmiJWE+uCtCLLzOFff9x10tmzSHrGTHhA8Txc0tlG6Ai+zJOL6/RhMB79q0JHpAjHlz6sb + tVUTwuUuib/ztRHKMkFL3YZMW6FCb8UZQrDMA2be7bXTWeg+TvL2lT/IXhazZfmpBzfSRWJep04f + Le5mwmTHGrl22SEdSxg1+bN7dUT1474anY+jgLcP3szpoEQzej9O0CnExKv4yPQ56yZFHvToypS1 + pgb0aTUehOa2pJvxyLljv+db5K/aiFmtpevbuJAMiJbyTtRO7YIlfQorIL0QkTwwP+ncJM8R0k2d + MFurBnc5O3IGc16diJvtWtSnZRNBsBsn4hqPdhlntubQyBWMYVGvlv7hlC+YNnFIditlpXdHvq/F + /IxcOlnOZRm016oHvdo4hNzbVKel/omkynZ0Op3LNpi6074A7xBfSNpHF3csXqRG/iZKiRMcoRo/ + pqbBvXqEdOHtF5q/9Qg7zXBIMqzmbiybtwJy+/aZ9264qvc80YNtbj2x1EG5DGkKOTybjGOx4jbL + oNT3E3r50R5vu+rYLY1oteCJoU08TWTuUJQvgGz7canUm8qyFNm1gO7jCEQJFMulsF3wOhGWkCn+ + Wklnxsk52AFLiBK7wzJa2yIEvuNMvHWmDM1e0GZwZKrA9FkZl2FhZY4SRbuz3XZF0/7+QgkksjLS + MXb9ZdTae4SuaWRhQbqydOTfggLc1R7oJ3VrfTZiV0Hb3HkS9V6Ly2d1jEuItMPEdo90Eyw3u3FA + N1vEvEd1XuiwqBy4uJjI5RGe3WFylwiye+ExVUyeyzSYkCF/NtfMr619OnP+sQYknCgzYu6csnUT + 9FDwiUhsvrkts3N0FWQWkUNwhtcLc/02RuWbxcTlH1k1nei+EOXT8URMVO8rbvM2MFxZ/Cbu83AI + 5rreYQjKlULIcmzT5SaUEVh2JVJZOzvVNOPTjH72i0K2sz7et6IDV18GYvSpUX3H1+Bxqi12XW1O + 3Yi8twKlcCZ462mq3re7HKP6bu6J2WqXYEK2mQCfeoSlelEidsZWD6uGRMxrPtDNWzXp0X5wcwxV + Vy3zUfQxcpnVEGdjHdLF2m970RMeZ2afZRLMeOc5KD9+GFFCddSXwR8o8E6a4odqTPocDjhC7+61 + x9v3q1im8FSW8NbuMR4DxdLnKlgOMleebsxR4RosnD2u4JjIV+bZax6NP/vpeMc8I0ZgBX2UOhpq + L9mBkOSzpL2pLRmKP8cX8ZMxrL74+0IJ9xDIbrvCaWtsSIZu7tCyvcn17tiERQSxJ7pM+RST3r7i + 2ZL3Xl8zJ75P1di+rxT5V1BISD6kG2GyAVbcTJlD9iu05NFrgyzmKcS1y1M3xYJ/QESf3syrugot + 3sHmpESYQmJsbpzbvcMnhb71P2yv0106Ppy2hiMkBoUFRnck9/IlHV6Bzmx7U6BhYW0Oh3mTEk2L + Vz/8soFdEu/IjnFj14u9a0r3XvOI4Q3mMhlp1SL31Y1M0ceqm+8ZleBBXUrLk2iisd/LDaKH5UnX + 3/oaRdni0P2ec8RdsSmd2tMSos7ISmJZ51dFp08bg5puK2LMhR7M0zYUgK3xg/i7XOkW3osTJLyr + E15p84B++B0t/MElUXBfu0P1fnLAHZsX87lXUY3d6ykh8aZlRDfM3cLvAIUQn/098cdMQ9x5wzT0 + w8fBCCIaLvywgWQ6+URpssTtjnxdQxcGT+Z4se6OgrPEsIusD3FuwysYFRvlEOqxhI+tUlUdPQgA + baVv8RAK2jJV9if+4Rd22PFlN782mxq429Ummlrr1Sanhwz6JHkxr+PVatm0GSdNKzPG276+VpPR + PxLJrkuMhVNd6cv+nc7SdMse5BAojduXYj0jBfk9+eHr73xGoBpRRpQqf6TzoVkOQPlGIEQ/KcE0 + XGaMgt08MVWI8O/++sErmnzxffrFY4MnWDzLLGUbt379rB9ReK6vRrf7ZMiuC0zw8/PomkiUDtDb + I2N4h6plFNLJgZ961vsZXPaxkxbOQ50w90Lvy3jevDX46i2yK+o+HX7q99FKOl0F5icYE6I7aGg0 + xnRNNRH3CbgCUDdEeK4uhT7c6MCJ+4+5Zsby6Fy6a8IVZCfgcXvJ7Wrqz6cRXG3EmO3JUaes2vZQ + PQKNeO8m7OZgmB1ktaua7STdT0dzklvpq89orgxMp7Y8zGggJhBlI1Td4h3UDXz1C546tUv7hLgO + fOsdT37sdVNYcjkaJ3NPZ77Ig5mDdET99T3juXZTfakOSQNeJ8vEv2lFNaqd68DB3nHMv2lKNXL6 + 2ZBnk1yITy/V0i/hiQMiniZMmxKlw9W6n8Cn2p2uTTfRRyBmDiGbQvZTn5MJpBRHYXbpipf8ZWaR + qAER7jLl+05C/W5+ZNv1Krowq1HO+uS3xQFRUQqxYJ3NihobkkuVbens/Pq4+gxb5AFLLhj34mqN + pidyNVACk37XywsWpPkW9PbM8HR4aNWWnBUK9akYmVEfTcRsV1v96Bdi72vu33zmXVBOlKnFC/vi + 8w+fMvO+SNVYdWYO73fU0Vmii943YRH+4B1+r0wbzaX+CKHZT09Mf/TNqqwa6DeLygyBFe6YFIoE + 8urT0zlVzumsFJsWzrwUMUN6T2g+NvscObIgse/+R5twMENw1+Md98P2mA6JVFPweGMgqopSfb6B + Br/4NdPk0nU3M5TAOrUfup5sSOmSeiY6feKIOCWl7oS8Yws/+LPHKxv11u4kwN66WcTPpVOwdIM9 + IrNRMPM8I0QMBY4EipZtMa9NrBrePpdJwcvv2E6bSDWN2WSC51Y6/fKTy81sy8GzyTk8trWlj+vQ + jxAfFC7zjqdPNYyZaAInLjXdXCfXnd3DHSN4HhXM3SW0VFm4j+GzOhd05j5cOggGKaSFP7m07U0F + bfyKi0X/5ndMvdfXZea6XIH4mlVfPzNXCzGcFbTvY8BcaVY6VrjBDPI6K5hVSziY27VFwZs0zIiX + bNDEkmMLxn7omaJ29TLpUiCBlYTDLz997+/B2x/fOAsclFJjs8/hVWo5c9U4RHMcNR4oRMMUiN9W + M48YIBAvd1yIk5z+28+9sgfT+nKHuGsmt+h8PtxxN9XdMtrG2wDk7u/E8cngNue4rdHPdzeGEC3L + JuiRwtod2U8zTec7KfDv+9rVWUVNt+0axB3bFzH7sEqXZ2Uo6OJyCVEiOUaf09o/QHpr3sw2hxZN + ksDF0l1I3sQK4huaPuvIgOi0437mr5tQZwvw8KutD0SRO9ZaLw5V4dASs9lv0imO+Bekx2HP9Ee5 + 7aiZfPk3yhUqc6+iG9SoHiFS7zJx4DLokx/dDxLeph4F7/hYxp//94RHgKdmV3adQtMRKazZMdep + kqDfXq8UNWEkE8XZOOkUba4tiF7ypKvbvVoW7S7n4L4+I8FF2qMpXCQMn83mStcfbUC9KCuc/CSV + ioVBzRbGgjhGX32MF2zx6W+9f/GNYW320TIZsyFv6nSNR1dSA4rPuYF6pN2olDbv4OsXSzQ424Lt + GHeoPmNb1SDelIzYj0RBPBVVCb56gJ3Rvg7mWLtjdF2TFnc03+mD83zE0NUoY7vicg9Gez9HkC9m + QrRMvQWTJ5xmEPkVofWUeQEzefMEyiV0mPmWheAzZf7h931NNVL1nhwFE32fh+vl4bqM3rYNnJS8 + ZnqSjctkjZCDZT9E5tbeNZ1N4SWAHQwJnsxdjN76cmqhJU7IvKyk7vTRPjESvfhJ9G6l6p8ffBCV + +46C6OzcUYKzBtPOeTE71HD6q2+/fprdxASl0yyHK3SHVif7s/+qlsuhsCDLWcy0HVUDDpNDI1vS + 9GbWhO1lJvEjAgG9Jzw7zHYn4noeOt49ntldNqbD5Y1C+D6PIqdK0vEUdBSua79lu5Xv6nMaBxtQ + 2idPqS1wFfsIGScIrrOluecU1TKe6heoh71CzHDU02lRihP8+AslkgU05dNkSF38UAm5by13cdJQ + AOfAeuYe+FdAq2lL4TcfaEoUDIbzlMCDeWJ+s4vdz7ceQD3sFKIa/t4drtblhMLxZVPhvbnoS1I+ + KVj5y6aAtM3CzuK6kb6/MxtW3+Th/pTg4m4SZka85k4vXBzkk0f2tE7Hlbuc3rMp121HKb9SVu6Y + PbgSnNm5MPt9mivKe88RGm7F4e0JSV1bjIYBGbsQ/1tvbvt81S3IyDeYt5c2C7tq9gbu2+eCG++0 + DSbkXVsg4mFizqO96FNvnBVQQ/vOiKZCsBgz5cBlTsO0Lz9NsbA7wObhhMx8qqzrdTxHKFCrMwU2 + z+li8ubh9/9DHI/pJMSHApQtqF+/Nga9Zz8BViSomJ26tTsd8kcCYfcQ6PIRtWC+6LoG970jMn0E + cZnMw+EF6XN5Ya7Sj2gOBsmC0a2BKZFJUTNSw4Pv+v2sVzqfvDKHg3Qpf/XOfNFdDQXtfc8w3qnd + di0ec0jpIadgbtbLeCg1DXQuV5naa0s619zFQTeyNr94pHXTem6wpPK1ww7ceK6++tCSv3kDw7L/ + 6EZr24Sw6OSDP/K66ZYdPxuy5N8i0hwLz6Vk39XwviuM3O8tcpmTZgKsX1pGdhir7ki7ekTf5+N1 + q/MV84tgBOlYbXDDu0nHusxToJoEkUpRMneTjCfzJ39i+v0Wd5w2tDWy02vO/Jf/chmcLiacJnr6 + 5n++3n/9Aezs95Fo6fYe0Jq7W+hnvmX8MV3m5IUFuyTZEdLt+2765hWodEOZmObFWmY5vltQfWqZ + eOW7X5a9cCyBRbuZ2U6LOqpMEMP6nDwJ3tEN6krmSPBMxYxhcZtX0xXFJfrqZyzibVMtnreqoe0K + hkW1r9yPd3ENiGbWYf6W77pxLkULNH9/pNsE02D0r1sJNDWixNJ0qRuKpe+hgRtifjpBOvnXtgT8 + ftkMp/5lmd351KNJQQ6zxHMczEPpmYAu7fa7/o9q2Up0RIdVvaLy/FCrzc6JSzhn0wvDNdsHrJcD + isr3EH/rCyPe6D8xSlXJYPYjKdBoHK8zinLOYip/aNyFF/aheLbY/lcP89OgK0gHa8d2Azv+5I8J + mteuTeXpIHfjeznU8pNXPKLxQxf88Cfaf4w1HsfXBQ2iWHiQzuEKQxRMwZD5kYU+L69k3/Wp3pGf + SWj9mBTmmdpOZ8HbPIGtCxdmlTwJ5s2KxEhunz7b9/W1W2SjrlF7yQ+4NFonHUMrbmHpV4SuDvtj + OmtVZAARbjL7yeOm+rqEKGhve6IphdfNauA5yJmtC1N2vFbN/mnVoKvmX9l+3uyCX72FT5VITf6E + 0A8eQJ83GrGNpncXazv0KC+zipnKyXGXHl9L+OIZ0589H3Tewd4go+ju9Gf+RzOYMIyEi1mGPQ1t + s5DE0iY7Kgyjdd/NB1HUxGIw5V99NO6juJVE3k6Z+vUzYji+AB279wGP+cHrRtc5jihPnDcV0/Vq + mconjhHrHA3DKSqq3zz9mzcy51pZ3agNZY0uoRUxXzu3FXVKZZa/epuZ8GRVHzVQoE0vbMkPfk/C + eXeA6lzkePrmX8ve6kpY9fmMeVXaVfzjOWOwM+9Ex3uoV63sHnJ42WbH1Oj1SMfiqkiQpafxJ48J + JtPfRagcOYv95n9Df6jhxmdHEg1Wro8c35ZoNv0L8Ze4q6bnEBewKc4FUzxkB33V4fyXf3Ee+Yi7 + rkQL8OKONDnd1GUk97ZGZdCIzC6PDlpU0pUS94HHN2+DjoWfgcLTDZ6YK/YfN7uuJgeSO/9g++bd + oGnnixZ8/S4x7Rur2mra9pC2usasdj3o/VG/ztKZFyKKHuapYqWiUPmLx8RyjySdrdXxBQt3u/zk + ZdX8KI8veLrHJ9GT7LCwm5kJkOeJzpRnpQSTbRwpUtZ3C6OCWNX2WFNO+vYLmBtJT7f/+nm40udC + sOco3Tw7s4VkLSPf/Wm5w57UI/oZzx+zEs3v9FoDO3F78qMPvn40AzfaDBS9wn2wSNq4gjFN18zA + z7hihZuO4HVrGTM++gSzGHrGb/7n3mwVbapp3SMseArRxntUbY7diQIzT4yO+4EL5jgqPAiS1mD4 + 6DYph4ezCenmlWBBCMdqquxHjG7Z5UH8UNDQck6RByR8pXQaTCdgG7evkbm8eTorRd/Nw9GMYLc2 + 0q++19N5blY1OnGyzAyj+rhffXOQx0ASGK7jWzXdubgAeAYK262Pmj6OJAU4FSj/9TfLYj57CAXB + oECUW/e5okMJS9Mv37z05E6TJJeIx+32q58BzdPr4sAPP44X54mm+R4XSC3olpgf108H9V2WMtPw + 4Td/mVFUlXCa+hMJGt5NO1G5lvDN97769aF/82gNsnvpUTns+GXMdMGAmUUmceS0dqeGeQ667OsV + XVV12f3gKdAhBKak+001b4iP0eEqNATbAteN19VkgXZjFn5U9NL94BnsVsGbqPJl0z2ZnQpgNl+/ + Vwij++5dfPrNt775SkVtZTLByF5r9u0XdD9+XHokO8LcZHtGrb4XDahRXlK5Qok7J1vDQD1WXHbi + BzeYTgfdkH/6d9oa3mhcLY9EflAoCa6fTjXSrp/R9zuV1ePSTep11OQv/1DuLHgpx0fz4Tef1pqz + gBa9UiioNQTEv4pON9ELjpFhFQULEzHUx/GGc+mbJxH36x+/+Y4l/eptp8z0gjObEMl088GbZD4t + YzZLB/TNI4j95d8lypMG7m58/vp31o3Fa18DWPuJffFjma7XswaV/MmY5Uc4WGSjf8FkvTGepCNB + ba9wCfzke1ezkBFjU8ZBodAKR9vEXgaT3jTYHZHPHPFoBvM9e0nwo6eI6Ur6+C6TDZhCu2Om/DGr + rVTICYqtjhHtvB66PjtsZhj6k8tIb4XdNFwkDGPvLcSMpYc7o91zhLW19amAL5HOBRxKfv0QuqtB + 1x3r1wY5O2tHCD1o3Xc9Yvlehxazmu3aHYc02fz247hib+uj18oNiJZtk8tP3m6uTzP60a9mMs9L + bxyvI4hisv3ytxssRd/l6O2sDsQTV+tlmtwlBBnjmX37dagXHJRAPh9fRP32p9jt3b/Qa9foeK2p + WTDA8InQpR59Zg8PEoweQrF01Lqc+EPgLfyIHiHU7YfS8ZvntWptS8DnN4ntPrPqDvond6D4NGd2 + Hd8bfV5Sz4AR1A0zm30U9JjEDTxe7ZvoYmB0fObnFlTPy4N5aSi6DKpsA5cG88RfNQd3GEzI0UnO + eHK3w4POovzUos2huOHR2ThBr7WXCCaRA2KVPAt+6018RjGWtt4+/Y5vipamzES1Lgaa0l7CoMYx + IqfH6ZFO3kU35NkXU4q+/cBJa1VAF+59+M1PZyPWlR89QvS6ydOFaacG2qWjxN6OLqo6VzJAHSuJ + Oc14Q1NR0hX6+tN/9x8+AZSokQ+MOAqaqnHo4xdSi35Lso5/VNNxLRooWh813NQSDeZy7krQR++J + Bd6Vuk9RUoBvv5xuXX5BoyLILfh+3OD8kXHVkKZcDsBLW6aJLbh0DbMJWMAKFeUZVZNiJhvQ0xIz + 6/J00HSfdid0UF8D0z9imS7vzQfD359TAf/5jz9//s/PCYNXc8uf34MBQz4N//yvowL/TG7JPzlu + 80+2+T2JQPukyP/+69+HEP5+uub1Gf7v0NT5u//7rz/C72mDv0MzJM//dvkf37H+8x//DwAA//8D + AAUszkHhIAAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c67cb9280a63-AMS + - 7c965f4ddae31ca2-AMS Connection: - keep-alive Content-Encoding: @@ -379,7 +379,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:12 GMT + - Thu, 18 May 2023 19:05:33 GMT Server: - cloudflare access-control-allow-origin: @@ -389,7 +389,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '89' + - '26' openai-version: - '2020-10-01' strict-transport-security: @@ -401,16 +401,15 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 3dbc4b59fa4757eab4ada6b65123a4ca + - 2d29bc2b55a13d2ea971d75d68470736 status: code: 200 message: OK - request: - body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following - text, covering the topics present in the text and nothing more. If the text - does not contain information, describe the type of text.\n\nText: \"\"\"Grocery - list: - Pancake mix\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": - 500}' + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Grocery list: + - Pancake mix\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -419,24 +418,24 @@ interactions: Connection: - keep-alive Content-Length: - - '319' + - '268' Content-Type: - application/json method: POST - uri: https://api.openai.com/v1/completions + uri: https://api.openai.com/v1/chat/completions response: body: string: !!binary | - H4sIAAAAAAAAA0SPTUsDMRRF9/6K4a5TmX44HbJrN4WCXUhdiQxp8pzGZvLi5LWMDv3vokjdnnu4 - cEZ4Bw3bpTBZbtpt2FYf9e5xvZKv9eWy2+z3T/Xz4JZzKPDhnaxAQ2iQxnKXAonnCAXbkxFy0NOq - Xsym5Ww5V+jYUfjTJ85cfLR+UpY/V/bI3lKGfhl/Z2gUq6Lt2VL/WQSfpbAcxfjoY1skE605UdH5 - 4R4KPjoaoEuFwG3q+ZCh4zkEhTcffT42PZnMERpZOOH6qnDOpiXoEannLkkjfKKYoR8WCv8hN1wr - CIsJN1DNrte7bwAAAP//AwBHdKSJLAEAAA== + H4sIAAAAAAAAA0SOQU8CMRQG7/6KzXfukl0XFu3RYOKBI/GgMaR0n0ul21fbByJk/7shUbxOMpM5 + w3XQsFsjdoi+nD91j8vVSzj4arH4rJerr96F/fOpfWA5QIE3H2Tl15hYHqIncRygYBMZoQ66bu+m + 06adN43CwB15aPRRymYyK2WfNlxWTVVDYZ9NT9BnxMRDlLXwjkKGnt4q/Kev+F5BWIy/glk9Ktgt + O0sZ+vWMgfJfMrEnaJicXRYT5DLIQShc5k3RJ7aUvgvvshROaHAnF/oimmDNjorBHScYFd5dcHm7 + TmQyB2hk4QgFFzo6Qlfj23jzAwAA//8DAJETiNdCAQAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c67e2a620a63-AMS + - 7c965f501e8b1ca2-AMS Cache-Control: - no-cache, must-revalidate Connection: @@ -446,7 +445,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:15 GMT + - Thu, 18 May 2023 19:05:34 GMT Server: - cloudflare access-control-allow-origin: @@ -454,29 +453,29 @@ interactions: alt-svc: - h3=":443"; ma=86400, h3-29=":443"; ma=86400 openai-model: - - text-davinci-003 + - gpt-3.5-turbo-0301 openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '1923' + - '1117' openai-version: - '2020-10-01' strict-transport-security: - max-age=15724800; includeSubDomains x-ratelimit-limit-requests: - - '3000' + - '3500' x-ratelimit-limit-tokens: - - '250000' + - '90000' x-ratelimit-remaining-requests: - - '2999' + - '3499' x-ratelimit-remaining-tokens: - - '249500' + - '89462' x-ratelimit-reset-requests: - - 20ms + - 17ms x-ratelimit-reset-tokens: - - 120ms + - 358ms x-request-id: - - 43755075836f6f963d49bb3aa7d66de9 + - daf757d41dab00dad20dbd126178c4fe status: code: 200 message: OK @@ -499,120 +498,120 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1RXy9KqzJKdn6fYsad0hIhCJf9MLqJcrEJQxB5xE0FBuVQBdV6+4/tORHf0pAZV - OcjMlWvlqn//68+fv5+0LrLx7z9//r6rYfz7Xz93eTImf//589//+vPnz59//57/L7Jo0iLPq7b8 - Df99rNq8mP/+80f835v/C/rnz9/UHx/Ee76eYQvfWwzftlhTeGs4XaxV8II8aCa6Knnaz+NxxCiq - yyczsdzUi7LdeWpclQ7L07NZL8+1GCjTXvoQ69mjmo8X+4Vi97bHAhMXdwnsK4U1RAoVCn0y6Fld - OWiRzZkdH7MY0j0XLSi+dMtwAaXLK+HiAav8F0kn/e3OQbINwFHdHiteS9IRsaxC89h7lOo58Fny - dR+UIS2ZbUs1TzNHGKBZtJJYzRTUvTFrAWyu75Ds9t8BdewdJ8pZ7SkzR+ajoXicjlAZMSXe6iqm - Y7lVRES3pw2zBqXkLAblCNVl71BJ9imin8FtkPHcaWR/7hZj0anfqJxaX7zx17oxL7IvwOAWEfO0 - 3HFnNzwUIM7tMi4VDvhMvHIHQUtT4t0MyaXlVp5gd7m3eNZsLeRKjRTAyFExeo6Mzx9RjuGuGQnd - uLqP1ifGB9WWu5p4Oy93GWFvCbS+ZsS5DlbaVZ4c/eKJV/fKrMWv8hwgyo0tXdzbvZ+md1LC0290 - 5kGj1Zt+P0egh6nPDEC4pk7kbmEXvTjblf3JXR7FKoBm3ZVUGKiejm3dd/Bu3gjns77h78O06qCV - 0Y4cnEvER2+0Bbgyf8dsFanueHAWDywpSZjrHQzUrRJfV+eKaphrqWIsnGdbWGRrpt8v0Yxhl/sD - lLdgZE5k1CkN6xgjbT7v6Ep8mVwMb0gEiecGFtatEQ7Jedehm4zOBLcBdnke5R76rbfUijealpGX - qD2YFxLJrYumNrYwEHdzZ146+8bcDHEMzxO9U9kDzlnelQUck1ag7+thZQzrQ3eBkDs7+oLUMHjX - C5M8gX8hRmeuQyZYBkWprvTEkn3Mv794CwLFxN2r63o2ZyNBRyonxHzMcb0c/E8CyGjeWK4zxtl+ - WpfI248fYo6einhgZx+Y2WFHjpuoreczOS/oLVQ3tm99wR1Xu+KFRsmpGdlIXc2k+OmAv1kl5HDA - DR8v312lGoIk4o1/+Lg0oh0oZjNcmSaDWPdcdk1AUXaiq0s+9lQ0K7pazvLIdjfhyXuv0yP147QZ - Xh5HnW9gg2JFEAZMnGqiKUXlpgDxUkZsr4RjyNOjB4iqfk9IyMJwenR1B6RgGrHyzdwvaK1T5ade - +nLcoZ87NYjhWSRruurUb02JoG8hOdoVOUnhiy8fcXuBawIvvFGDNuR25Ejo22Zrkn+NBtFrP3uo - 2K5KYrzHbTgl+tBBLHYJwVebGfzUeiKo2jFh+crbo1k8PH3A1/uIN7z33OnoVxVqpnYgp/2jqpdK - S0Swb2XIbi6UnNp3LQYXvx9YTJtzPbFPvAOnNH1iqemaU/npepschyH+rLZuPfvrB1bWtLSIJr9v - vbSnnqR4meezbDOW6VC0swLNC0xmaGlizN4yY9WvvwKVzYSgeVsEFTTVsiWn+e3wzae+ToB0ZyZY - Nqe0511rgljaArOE65tP9cH0oL17L2Yl87P/zVd9364hXekXmo7ae9uBkjITb79s6EfpOpfgqHZP - PMs1DabaNoY6FToq/PBleVlCBCjYnIjrPOR6uc5lod5702Ju9ok5Hy/aCzZauCHH+NLW4yeRFOBf - bY3Xq9gMpV/+SsXDYV52PIVzEd0i9KNvDB/50+0WKYkVOdIn5or3yh2Vhleotg86/Sa7FPGYRg6q - NFDIAUmhMVfLSkLHU1VRO1F6Ph3Cjw5FfDYZoTOvx2RFdRDf3oLlxz5APPRwjGLsjVjy+Ldv37ni - //aH4Pslcqeo5xf13WHEDmTqEI/6VwLBvnHxbDY4nVLsOqhh7oZuNPLg32seBdAl5ycz1MOrntJQ - iSG870Ms8Vztx3j/NKHLlSchNJHqccymAq6Of2QYtkk6NvHegeo2OOTm9JwvpiQ3cMxmhxHW13WH - moailZjUxOyCmk/etCtBOAYVO1LRqOfK2XUq4vWXfrL+VU939xzD03/ppLg0mcuN6h3Ax3Y/eLnb - KWfx0afoF1/bgxBxQ5pKtbyKMn6NbEI8z7wM5VRl5HDf2e40f8wA6qG3iOEfvJArLImhCayM7cdG - D5drnuPfeaCjN91ritb6gFI5urG9PCnhHARuqZRHfU+nX319auWglnKssvxrWHx6ebyAYTguBE+y - HS6PdtDR+M4OLB8TAy3Gu5bglsYaM8ITGK1oPjtoRDzQ9il3bt2rZgnCRxCw4C+LMQSJfIGLK6+w - KoUmWrup6IEm3G/kiMbXj766iZJFKWfm+/VFy7ucRLR2QGeW3Lr8px4PkgUTZjyrOVxaZlso3Sg1 - Ma1bVU/Ari/08QyfmNr3WC97PT7CtzG0/+zXiVblpArRISJGTtuQN994ArKEFhWX3OFzcgwkVVmd - j//hKzc/lwpwqMrEnue98dL7EkD2V0BOP/2c80p7IRtZNwxn4eEy+igt8D90YftULA0WntUO7h+v - YD/4pPzsBQ68HvnCjicOafdO7QbUFy3omH60fpoioUQ/fg1vs97s+VO7L+gSShlVfGFI57UAGbwT - ISS2sB7dhe7pB6itu1Q4uBGfp/44gKyxC+0mN6wX2xljAKWfsTrOJedp9BGgvS3TDx/MehI1bqLl - K9lkl+PSHUtuvOD0dE+0uyxSypVv7aB4GFUaK/xSTzc6WugHP6ocbmdjaHO1QH1TFMTrrH3I0sz3 - IHMWl25P2SPk2T0ZkLppLObIgtlPv/3bx/vTr5/rp+x9dGDdIYuWNPgYP3yO1d/9ur+uZXdQGvEF - kXfLMPIDhy+2KTjQ5dsnLZecGCP6vgNYpXNHnJOjh4s77hQorebMzE2l8bEZ4gT4BAHLkDOmP/tH - BEp3BvNeRRpOaxn7SN28LGYrh9DgC+xe6vfSnoh+3b748lyDD8fpRohXhmLKVLXr4Hcej/ZqCT+v - +CxAFQXRf/zVXG4XEdlQuuRcf2jIL3nmKNhy9+TXzw7yV7F+/RY91+c5nJUGVVCuuUq3q21fL8n+ - EsDGuvSMZB+xXlDTDCAtGmF43dYptyDbodv2kWOlLY7hNOCvD1mmpEwbG6tfW8ddhiLRU9lRym49 - ddt7h9xAASo+DKH/0b8EilV2ZD/7Np026VcEviQW04KTna7Te9lAsI03WBW+C5/dFDxQ9QZjTuDt - zhycYevfM4ecju+lH4JkjkCrdjHZXw8rl2dhX8BXY2/cb0+esVbiWwX6eZXRDSv3xmJkGwuMyf8S - Ip5aPrshyRT74zFi90LI+8/mq4O7Njy8+W6ROxT3q4L892Ghc6Fc0lkp8IIuV99nd3mSXIq1YwZp - UzCqBadvOp46r0CPV6bRbu139byXlA9Y3m3EqzCOQh7s2i26on73q5/GHG/2OrodrDc7FRXqp253 - 3iHCqcIMF/cG73a6CZf6YDKLyPdwCevYU6Z48Nl9Fe/cBaOzA/b1dqDWyWlqzl8rCXH1dqa/+U/A - 8kaRTkb063/Deb4zjPLnJmZ7SSpT2iaqqLitFzMSanLIvOe1gW/o3pkTJbtw9tqAQpbonLmVr3NR - JqsXEP8oUXqgNhp9uytR8H4SKrRrzRWn7L1Ajs8h5u8IhVQwwp1aC6ZCrj//m/EAxRFN14NPVXP+ - 9KwhUYCa6X8AAAD//0yayQ6DOLaG9/UUpdpGpRAmm94xhTl2EjIhXV1BRgiEMNhgS/3uLUip1VsW - DOYM//+dU3Ykd9WoHT0XEmhl24H6dkr5GN1LCNbL7Q47QnjmHWZVDniGDTTYlyVvS5+asB4Nn4R4 - w1vGhsIDoOxW6LOuIOj6XaZDfO8Nssxtr+Wrref9/KA5qKXFTumDgCk+MGooCDsBhgNs7QPC8/16 - q3yrcCX3Kt10Tw5qKAenn965T/2EHcf6+vOHm04aQG3sqjvUTxXHpraNw1HT8wP0a0SxsUJpO3y6 - 5A6XT9elm7W3biUnkB2o7UQRG4Kktc1SeyxmPYwfSW63rAtfjXZ6nY+Ehfq1ZVYb29pUvxG41jJn - m+xzgVd7uUQXVvctky55BL96PJLWRXlRzvrinl63eLcTo7gHhWjCt1hLaFg7CS+xYeRgHewTuhkO - Nz4G21sHJn+N1OS5jemrd67yVE/orJ9G8/Dwfv1/M5oS6F4yV2H7WK7o5vNhxTDn42Z1/2L74L/5 - WETsAt+rjYVN57ts+/dlq0LJViXsvTZe2xV4gFCq74A03jqMVxyaBEYBuxJtaFNA9rcnBOeP9cW6 - KHQW1wRNhrIvcaR0z4tF9Kd3gmfXLvHuBKyM656Yw8Hc1AiQauC98fRTaASrGC3abxvS9zH51Wtq - jrs85IdWDqCN3Cu1MFyHorRnEMZu+6DhdZcBpknwDr9yuEPvyU9N9d8DoSQLRNGrNej9OEbQRusr - 9T2k8LGmZgCm+kSkED7BLz/Vp/lCHIhSRvlbEuDk7wlwWtzO+QJyOa0Id56j1QhKFMDWlFO82V+s - Ygji6xZc6WBNejpp+9kf28LLR7ITetnqpHk6jDq1Q+LkR1vx8g3g5CfJWOx2ce9vCgjCorz8/K3U - qCkDmXGXsH7xv9ZwOIiH+fzoZjWMvFe7hoFwZURosCnkX7bUEdyuPUIEY98W7CKFEFwezQvr8fYD - WIyjBczx2FMsvN8//Q3Dw2mY4mHfMu4+Iw18VAPbY5GCkZVrAuvX8ELq3RTi/nPEDfxouf6PfmU8 - Z/BGlvTnJ5nn8lp7fy6YYik+t9+IjRE87YU1irX7qxgFQ9VnPYZ4ezSzSZ/e1bBuIrr225c1ZMjy - oL57LbEef96c785yAzb33RvrqQzA+LbXNby7VU1DYt14r9B6D8vaoNTeLE/F+LY3tbqwvzlaFK4b - cpXuU+DGDxEJQf5t2fWabOGLil9qmZ1rsdMTLcByKz4m/kEK8satAyU7fCBhyoduaA0262XCzWNj - Uda/K9gbXkvNXdAAck3iARo0oJMfD9oxbC6RCt6xQVZoU1okj8YTUMf7kSxJemr5unzoIGURxma0 - tECnvjYn1VwVT/J+JTkYV6LbqeeyXGErX78zHmzuDuwPZkzR7ri2OtRscvXp6Wt68yBuB8xIDoTY - yamVFHomWmUrgq++G3G1Wn8AkfHqCtl7POIHBt944gNP+OnsCKMUOSGz61sFbIPciDLlQ+mdLgRy - oNyI8qhLQMhu48H1elOSVf1qs7ELc6L1UnUmue2YQKi/GYTzeUvLRgvr8IRMAPjri/WXGVjDpaUV - mHmILoXf+TwOYIjbK3U+Li5+enwMc4iDPNllbOiVFPgVA9hYjZuWr1tnC+lt6eKpnoGB8WYAmXI4 - Y39vNKD1bM2B90y2sZGTe8b3BxDA3EoJnvX/EO/tCs7+TghyvyB2Tg5w0gPYwsne4k2Fn3N/Ratd - sw9HV6xk2I9rivUyca3V1uJ7uD1kJ+wm58qqxsfxAvH+YNJtKmeA0XJ7UeZ4P2nZChQ2BzpQwKBj - F4ImZiQZVW3ON/dGCmsojnX0i++Ztw3yRz9pzQatkVR93uE468+pnyD1XrqZJB2LGgaZlf34GZeC - dQD1XbHE/onaQLhuoQomfkqWUnwuOIPeG1hNcaHGsTnFU72XgRMoCg2T8wuMn6NbQ+fGX0Twd9eW - vowd02w58KlJwI1/7MdngCQhHySbupGx/T64w3YfmvP9su62kS6AWNqZ6uVgh/2kr1Rt5Cpa6bgP - 6QvkV1XZahCjwv2ETN91B5CX+WKu/yGb+VG1qp8ETDyANGoszP2bbl9mENJHv4/Ap6kv2D+uDmBQ - K1jBT/2IiCr352JMvVSA6s2T0cr3UNhck5jBcchX2I4/eiEVuDFhlFo2xlIjtAM2gp/fwqH2fYbj - 5NfV/fod0pmXcmwpnnLC8IqNRUOKuiXSFayChUlWd3UIx7NqPmFrqil6QrvJ+jzwGujkzgJ75Oa0 - 9f0tpPCxDUqKnTbMQB8eBChvD1fqL6MgnHkX2MupRFTl4xac5okIwnJ4U5dg2SKe8niDeuesqX8/ - X8BAE2hCo9MK7Hc+CKmRRnvIw0WC/eVFt5gbKN7ME3DwccN4MMuRKDOfBA1zwHjSdB3yhG/ISkm0 - eIjPQFRkL1mSxRDSjJf7eFBXa4CwNek9lngJU7vweqLXZTdmw/4YOADk6xV6M8Hlo56mHiiS8Y4t - 8FBj3nmtDU+PjY2n/2+t9nvrCe+VK1Pdplcw3GLSgN24p3j97l/ZsBYBAe8n+CBw+Lp8gFatgvao - N+QXD/Kx68DeDs4ExrgLSWaeGFTJu8OodeSQSfZ9AT8SFagzkADwI3nJcPaXArQdiw/9cFLvJ2lL - 3UT/WoTlOFDDvQwxhrQFRNNaAt+yYOGgiI14OEuJCHdUUKnvez4X9ad+0oivh9TUPkPYreszgWp0 - v9JJH/IxMYsKSOBQkE++/VjjVD9BRA5PitKyCJkNnwKkYxFh03ZyMEb3HoJXtC1x/F4u4qaMygrq - 3cnCUXBqw8F/DVsYu98HPkzvT7a60EFmCzu8m+KPmQ9YQYfnDGXxeyhGWxk88I39BBuG/5r/1wDf - +Tmjvl6VgMVpcdWay6rHEeo9SzwJ+wggWI1IpHuxoF8i7OfvwZvPgrar4/ljQsXyPcSn95vmJ3vt - Wb2O2KSrHjQLND5nP4FGZJqxFDvnAH4teaTG53rJ+pXdsh9/dfjtVgwl7iMxHQyLBqtt0A4Klt4g - k+SC+qkOOMnMOwPeo2Z0s7vHLVsTW4Do/FaosXnQmAlK5M3+Fb2R4rR8rTRb8GwrH73qF22HdOc1 - kBmbHdH8uGvn/IV9eXeRfPXGtrdS5wLXQ+dQp44q8NUPjQqXm4WIdXUZW2OxuJ9mfopELqQtj9M8 - hQcpfWI8mE8+JBJy4LXzLaS4Eix+/h/zTkX3UNnyL1MuC5g4DqI2E1ww1RcdFAtHpevMqayu0RMd - ZjhusGPv1q3UeYWjzXxKl0I/HJeHrwhYtXjh9Yl+Q5YgQ9dUJvt0r322YZcl3wZ+4FBTm90aztHb - PcDwgy5kpTZBJsCVLcL348HQIkVVSE9C4v30JqrAaPHyYpkwYOhJEb0dLb5A8hXw5vHFet3cQ26W - OdPOirIj0sT/Rum1NTXnsTniUNtbIX++6ALa7KiR4fKsQnHhB1sYqo6O2GFxALS8hKZ6980rjdRP - GnMhuKhQKNiCbqb5H6+7IIfJaqfO84qWY/95ASi9vmh0tk4h44YMoZREMTZrw7YI7G4QTPoUu0Rj - FokPAlImvjv7z4wHmWrDt9hIVH9UK86gqixghncNtgZUFOPMZ5Xz/U0m/stX03xQAXqn0Y1nLttB - 04sLbEilEYF8dSBO8yblq55udO12CeBDGVaw9OyW2uIS/dNfOq8iaDzvnzFbHmoGD7t2i03+lTjj - xrCAvUAojUqDxBR9xQp+OifCm2VhArba+pE6+wm9N0DY8oY6SjySCB/3Bg3HT9HWMPk2e4rDpIy7 - eG+/4YWjirD2vgXSsQhTeNhurjTo9K5gnnKuQEUVjB2sKFmPDf+phFZzwKH59NqxW/MrhEtSYtOr - HS4myDdhTIQCx44vWPwaLIh6kw86xaXMCprL78XMd7D9fOyBGH52DZTv8mfqrwKvlexkQ/VbyNi8 - pzWY/TYQxLqaeBtrf/0usncCWcrA4Nx11QoA0xup/b3EoNl8Nio8Lp41DTxeZn0ChS08f4zvNM+6 - ga96OT9h8dy6+Oh2ChiLSE3B1D+pJ53cduKPBNKoiIkw8dcRrfLFzN/m74+/M19s9R4RGlOeEdG9 - 3mERPEX80x8pChw48SBqTX5tTJUFA9M8hYbRXedjIVMbyC9dxvE0byTFvn5rY7QYSLeXccgyD+nq - lD8/XtdaovyEnF0cauzELuOFrw5w4hekjUHfTjwUQmbgHTV3LxeMO5wwqKHlBonHLmiJeJTvEPfL - LyrO78TiztoToIMXPUby6xaXVtmpv/loGL+3xXBZqiJsniyY+XArduG3hlN/RvJaaDM2zZuhlNYu - xniD4zEJLwd4YtxHEAVHa/hcUAS6lCxmP8IptpQAXsaBUddFDhhJoi5gfnADxBTuhPy54kj7a94K - +Pcff/75f/OGQVXf7uW0GNDfx/7v/64K/J3e0r8FQfybir9NBNKlz/tf//pnCeGvb1tX3/7/+/p9 - /3R//etP+Ns2+Kuv+7T8n8t/TM/69x//AQAA//8DAJk2zafhIAAA + H4sIAAAAAAAAA1R6WROyPLfl/fcr3npv7a9EpoT3jklkMkFwwK6uLkBEkEGGBMip89+79Dl1uvvG + C6Q0yd577bXWzn/866+//u7SKs+mv//56++6HKe//8f32SOZkr//+et//uuvv/766z9+n//fm3mT + 5o9H2Ra/139flu0jX/7+5y/uv5/835f++evvNJie2H+9X1ELP7cYftp8R2CtoXS1tuEbPsJmJtuC + pcMy2RMC16p4URNJTbXKouorcVm49JGezGp97bhQnvd8h63XACo2nZ03iL3bHm0ot3pr6FwI3MGr + TDa5PhvkpGxdsErmQu3nwkVkzzgL5h8iUpTDwmPl5uxDWgZvnM567S1hIobQVbwByX6L0wnQrATL + NPiE6A/IFj7QAyiPaUEdh69YmrmbETarVmCrmcNqMBYthMKljrC6/4ygp3WcyCdlINScaADG/Hm0 + YWnEBPvbC5dOhShzgIhHgVqjXDAaQ9mG5XnvEl4KCCDd6DXAeKka3p/61Vh1EjQKI9YHCcFON5ZV + CjZw9PIr9bWH6y1edMght7TrtJYoZAv2CxWGLUmxfzN4jxSiNEP1fG/RojlaxOQKyBABV0HgNVG2 + dJwUw7tmJETw9ADsjpSNiiP1FfZV/+FRTGseakNFsXsZrbQvfen6iyfa3kuz4j7ya4TXhyGS1bvd + h3mukwK+gkanPmy0Shj2yxXqURpQAwJUEffqiVC9vhlVi+Horc98G8Jm1xdkMxI9ndpq6GHd1AA9 + Fl1g9WHe9rCVgIoP7vnKJn9yNvBCA5U6ClC86eCuPrT4JKGefzBAv00CXVlKoiGmpbKxMpaJcJWs + hXw+WDNG9RGMsLiFE3WvRpWSqIoR0JaTSrbc22RcdAMc5NnDQJtda0RjclJ7cJPACaM2RB57XB8+ + +O230PIazOvECtAezDO+Sq0H5ja2EMSecKd+ugTG0oxxDF9HcieSDxmjj77IoZ20G1JfDltj3B36 + M4yYq5I3TA2D9cNmlmYYnLHRm7uIbiyDgFSXB2xJAWKfX7w3G4Kwt1d21WIuRgJsIiXYfC5xtR6C + LoHAaGokVRlldD/vCuDvpw6bk68AFjpZBxd6ULEtXNtqOeHTCupNeaP7Nth401bN32Di3Ypige8r + yscvFwbCNsGHA2rYdP6opWJseA4JwaHzyJX0UDab8UI1CXLVwCTPhOCaHcn2/JgGwpkl2a4naaLq + bfNig9/rV6Vz2wytT1tnAhRALG82I8JuOZOUgELIIXcurnQvR1PEUtuHgCjBgHFEo2h+9lUPcU41 + bD2EZVjBTifyd7/k7XrjsPRKGMNXnuzItlc+FcEbXYSJ7ZT4yEdvtnaceIaXBL6RoIRtxJyry4NP + m+3w42M0gFyGxQe5uC2wUU9iNCf62MOY6xOMLg412LH1OahodkIfW38PFu7wCiC63CcksMH3Zjso + S9DM7YiP+2dZraWWcNC5FRG9ebBgxLlrMfRQ/URc2pyqmXaxCt3CDLClpDtGpJfnCw8URajbil61 + BLsnkneksLAm1beB3xOfl/3MD2gmTEU65u0iw+YNTWpoaWIs/rogJag+GyKZCQaLmIclbMpVxMel + dpnQVZcZAt1dMJLMOR1Y35qQK5wNtTaXms3VwfRhe/ff1EqW1/Bbr1LfLhHZ6meSTlot9lBOqYnE + Dx2Hib8sBXQVZ8C+5ZkGVRwHwSrd9GTzrZf1bW2uEITCEXvuU6rWy1Lkyn0wLeplXczYdNbeUNAi + Advxua2mLuFlyD7aDu22sRnxv/rl86dL/cw+Rkt+vV3BF98ostnL61c+iWXpqs/U4+6lN8kNK0Hl + HHTySdQUsJhcXVBqUMYHwEfGUq5bHtjHsiROIg9sPkSdDvP4ZFJMFlZNyZbokKv9FUnPfQhY5KMY + xMifEO+zz9DWDzn4nQ9G9/PVm68DOyt1jwA94LkH7Dq8ExjuGw8tZoPSOUWeCxrqCUTQ8JN9Lo9r + CPvk9KKGcnhXcxrJMYzu+wjx7KEMU7x/mbB/yC+MScJX05TNOby4gU0RFJN0auK9C8vb6OKbOzC2 + mrzUQDtbXIrpUFU9aBoCtlxSYbMPKzb7s1rAjR2W1CacUS2lq/YKYNWHdNnwrua7d4rhK3jrOD83 + mceMsg5h53gdWu9OymhsBwT84uv4MALM4OdCKS6chN4TnQF7ZH4GHkSh+HBXHW9eOjOE1ThY2AgO + fsRkmsSwCa2M7qdGj9bL44F++UAmf75XBOz0EaTS9Ub30ixHSxh6hVzY+p7MP3x9acWoFFKs0MfH + sNj89lkOx9FeMZolJ1qf7aiDqc4O9DElBliNuuLhLY01akRHaLSc+ephw6GRtC+p96pBMQu46TYb + tAnW1RjDRDrDsydtkcJHJth5KedDbXO/YRtM7y++eomcXVNGzfr9AWtdzBzYuVCnltR67LsfHyYr + wtR4lUu0ttSxQCrIFTatW1nNkF7eoPONAJvax67WvR7b8NMY2p/+OpOymJXN9XDFxoO0EWs+8Qzx + GlmEWx8uWxI75BV5e7L/1Cszu3MJUaRI2FmWvfHWhwJCKdhCfPye5/IotTdwgHVD8LR5epQ8CwsG + HVnpPuUKg0YnpYf3zs/pNz4pO/mhC9/Px0rtI4NpX6dOA5U3ycmUdtowz9dNAb58DYnZYA7spd1X + cI74jMjBZkyX3QZmsE42EXY2u8lbyZ50kDi6RzYH78qWebBHKGn0TPrZi6rVcacYQnlYkDItBWPp + tdvA9rbO33owq5nTmAnWD+9g9YEKbyqY8YbHl3ck/XnlUyZ/KhfE46SQWGbnar6RyQLf+BH5cDsZ + Y/tQcjA0eY793tpHNM0CH2bu6hHxmD0jlt2TEShCY1FX2pjD/Du/fbw//vjcMGe17cJdDyxSkLAz + vvUcK7/+ur/sJG+UG+4Nr/4tQyAIXbY65saF/UN8kWJ9YGMCnzqE23TpsXt09Wj1JlWGhdWcqCmU + GpuaMU4gm2FIM+BO6bf/cJAQ1aD+O0+jeSehACjC26KOfIgMtkL1rXzO7RHrF/HN1tcOBtCebxj7 + RcSlVFH6Hv7y0Xa2a9S949MGltfw+odfLYW4csCBhYdPVUcidn5krowsb49/fHaUPrL141vkVJ2W + aJEbUMJixxQibsWhWpP9OYSCdR4ozjquWkHTjJBfNUzRrq1SZsFMBTfx+UBym9vRPKJPALNMTqk2 + Ndaws2w1A1fOV6jNZ7eBeO29B14oQ8I9jc3wxb8E5tvMpt9+m85C+uEgWxOLauHRSXfpvWhgKMYC + UjaflS1eCn2o6A1CDMPaWxh0RzG4Zy4+2vU6jGGyXKFWqjHeXw5bj2XRkMOPRms0iEff2MnxrYT6 + aZsRgRZ7YzUywYLGHHww5o4tW7wIZ7LT+RQ7wyZiQyd8dOjtDB8JHxF4Y36/yCCoDytZcvmcLnKO + VnC+BAG9SzPvEaTZGUybnBItPH7S6dj7OXi+M430u6Cvlj0vd9DybxPaRvE1YqHaiuACBvWHn8YS + C3sd3A5WTY95CYa5V08qwIzI1PDQYLBe1U14rg4mtbB0j9aoin15jseA3rex6q0InFzoXG4HYh3d + pmLsveUBU24n8lv/DOmjkfmjcf3x32hZ7hSBx0uI6Z7ni5S0icLJXuvHFEeaFFH/dWngJ/Lu1L0m + arT4bUhgluiMemWgM07C2zfEgc0TciAOmAKnL0BYvzDZtDvN4+asXuEDnSLE6iuIyMaIVKXamDK+ + fPXNdIC5DebLISCKuXQDbfA1BM1cj6Q8yP6w2AdIoJEGM3XMhLLFz2sI9tvghC3Ou7ERr00JWIo1 + NJvxlg21Q3XYLZpDPHxkw7rOlQ1APe5Qu28gGKdTqkKcTxrZlqY9sF1g23/0oD7LtbFekycB3/zA + qKfAGznozXAwzwj/fm8y6rcMd+Ik0+NYMNBB0b3+4Tv5t5+sl6XL/ujD4yjMoNNOTQ7Va8OwrgSR + tyhqeYZOhyjWdigZ5na853BbHA70uLf3g2C5ogWVE89jjROUod8qz82PD+PnvTSHdfRevXJ93S5k + 9dRsWI0hMpUvfiOQdSJbj2kbw8zcblG8dtOwCnHpw48aLWQ4oLKqf/wiT7IAn068H02g4nX45jsB + zXvrzmqsaSXYu+GdHufzgy1u8BjBV18j+V4EEX1NViZ+8YT++NOin5/2n/5/XHQBjC+RyXB4bnf0 + 2LZrNf/q8bjLP9g8O2+2VP4aw/fuaGDd+myH6R0HMhRMWcD262gPY4VnCIUuB6S39160Y1An0HfX + jCjzkAASPgoIbq3xwSrPjQZTOEWEoiMwJI1FbBC1sK/wdjBrfLoCI2WqzZdw1o8dAqSZ2aQVTgI1 + dxehzfAZPPq+3P/gNdWXU+mx8yC60ESHjBoY7j1eCFcIo8PwpF52SsGqCDCHH9E7ofdXT33x3wae + IHJEUps9mJwoQtBE+4w6NpLY0lHdBV98IoIHC/CnPuVCfyEGeCGl7C1w8KvvCbAGPPzqBZRi0hBm + FYvRc5LvwkEXE3wMY6Oa3SgLQEZn48un78P008cm93KQaHl2ursqtgr9UR4R/9WjAx9/XPjVk2Sp + Tqdoco4VBF5Vx3/0rdDLyQpSLRewGjsfYz6f+fPv/OhxNy9sksd+Bd5O89FsUsg+61ZFMNjbhHBa + OFRrLHgQxM/+hdUoaMEaYX8DS7xMFHPv9x/+Db3zdf7mQzis7FD4CmhlDZtLlYBlrfcEdq/5heRc + 56KpveAetkqp/hd/XVm5wgfZ0j96crUPrFPebYwpFqLb8PHXxYfXkNujSMlf1cJpsvrjY4gNFz39 + 8tNc9rrep3tneBlzigwbqqfXFqtR+2bsdBN7cMxPb6wmIgDL29x3MD80HfWI8WCTRLsQ1p1GqXnc + XqvlbR47eWN+SrSpDgePyTRMwCF68ohzy8+wZtk9gC/Kf6ihjwdjvRZoA7YB//z6H6QibzxYUDC9 + J+K+9TDOg7b++DJh+qU36Dq9Gzhp9kD1k9sDkt2jGWrUpV897g6L18e+DN6RRnboWBuk9JcrkJf8 + QrYkuQ5sXz9VkKw+xrq/NcAov45XWd9VBXm/7iVYdvxhlG91vcNGuX+nzD3mFpzOekTR6bI3RtQf + S7mw1T192BAPM15JCbjIKqlxr9SUN+qBBx/1tOBmt28BEfEug+t7ueAnBp/o6w8UsB1NH6MEWd5q + do8GmBp5EOlbD7V9jQlkQHoQ6dnVgJDT0Yb7/bEmu+41pMvolUSZhOZGStPSAdd9Ugh/5y1se8Xr + vCvSAWCvD1ZfumvM8UAb8PNDVMH7/M7jDOZoyKjVHnD1h48vXgmxW95P6TpPUgKcZgVY2y3Hge0H + K4D0sT3gL56BeWX9DFLpfMNOqPVgsE3FgnkqmlgrSZ6y8AxcWBoJwT/+P0eh2cCfvuPc0qmIWZIz + /PIBbOB7aLC+wcWvv6LdqQ+95cA3IpyWPcVqfT8Yu8BgIQzO6RUf7rfGaJbnJYY4POs0SMQUrLQO + YumX71cl3YHKZEAFEphVfICgj1ZyX2TlV2+HB6mMubp0/p/8/vlts9iqV6U/oj0SmvbtLT/++e0n + SM7rQyoIl6qDbmqkf/wzJrh7F6qnaoudKzUBlwVQBl//lGyF6FaxFdpvYPRVTLVLf42+eC8Cy5Uk + 6t1vL7C0l0MHrQd7Ec45ZQN9aadVMUXXoToBD9aaz3aG5E5aJOqqlq5h6OZwCD3993vp+DgKMSCG + cqNqPZve9OVXsrIwGe1UPHn0BcpMlgIFYlQdWm9VT+MZlHW5+eG/t/78o2bXFQR8/QDSyxH36980 + eOmuR59T6IO272LsXHZnMMsNbGDbPX0ii9OtWhI74aD8sEW0c2zk9dk9WuEylztsRq1aCRXudegn + homx0HPDjDX3j97CnvIpvOWr1+Vw//bozy9l2JBs6YphhrVNT6puIEIGdu5GJ7tcnr3lJusFHHQ5 + QQU0+3QqXbuHVmltsE0e1tDlby6Bz8CtKbYGLwWTd+agGJwz6mx91/v5XSAUE4HIUnuoGC3vPPDq + +U0PBIsGsaXnG3Qna0+d/BaDmd6hDrVRqbAzOsCjWuKHkHmbO3a2sWqsB1eyf34CdtuDF816vRDp + 50+CfrXAclVUFbI7O5KddFeiOboBXhLt+5ZsZo+mrA6jWd7tAcLGl++td/u+yqOXXWm2HZd0Di+u + BUC536H3yh3YoiaJDar7kmMDPOWIjfZgwuvzaOJv/I1dGBoFzJuDSFWTZmB+RKQHpyWkeP+eXum8 + 5wEB7wK0CJw/BzZDo5PBcFF78icfxMs4gtB0bwRGePRIql9XKJP3iNFgid4qmPkGtgLlqDUTF7AL + eYnwpy85aFoGm6f5KudXIaCHu/oxyFpiV/ZCEWIM6QCIogwEvkXOwG4VadF8E+48PFFOpo5jO4xX + C/WqEEf1qK60szfuuxuBsp9n9MsP2XLXqwYI4FyRtgxaY/niJ/DJuaAoqStvNWHBQbpUPtZNqwSL + n08QvPygxtF7u4n62q8bqI5XA/vudfBm5zUHMDp8nvj8XT8JVG6Eq8md8Ombf6v+hA20WLmiNHrP + 1WJKsw0+kXPHmua8fvGa4bu8pdRRmxqsUVJlSh/vJuyjyTb4Kxf6AMFmQTwN+Yp+CBf+9oOP7YYO + u8ut1aFkODZi3/V95yehUjSvC9bpbgL9Bi3FT0+gBel6JETWzYUfQ1yo1mZxOu3MYf3jv1rs8ajm + Gk8+n8yaQd1d4A6zhIU3SAWxok6iAkZSPV+B/exWejzl0bDuiclBdHtLVDs+abRykm//9Ct6I8ka + 2F7qA1AMjYNe3YsOc3Kye7hqxxNRnGgcfvULpzo/IDGzl2EyEiuG+3m0qNX5Dfio516G2+OGx6q8 + jYyl2uTXn3+KeMYlA4uSMoFnISkwnvWCzXcBWTAbHQNJBwFWf/Q/ZqOMck8K2GeV4g28Wxai5sod + wBdfVFBtLJnuU6sxxl69qzDFUY8t87QfhNGuLOXnT6mC53jL9vzhwdpsXnh/pR9vvSNNVeRVdGio + tIE3pvdPD1s4d9RcHz1j6H04Q69FMdnJvZtycGfy8P18rmiToMajV+5u/+GbqAGLwerY0KG7ooIi + +rgYbIPEDLD++cFq1+ce0+tyVW6SdCLC1/9bhFegK9bzeMGeEhoeK150A831opA5LhqP3zhuAD3Z + UtF63pwBrWNPl3NHz6gvt0nEODeWIVetG3r8zv9YN7olvO9O8m9eMTDsFDFASfai/s24eivTRAiF + ux9hvdNMg8DxAcGXn+IDUVaDRGcOSV9/96c/U+amsgnffC9Q9dns2AplaQNTfOqxMaOqWn7+rHTL + 3+Tr/7Lddz4oAXVU6NHWt8OsqFUMe9IohCMfFfDfeZP0ka8Puj+Md8Dm2mtgbZsDNfkt+q/+MtoN + QcstLKJ1e+5WeD4NAdbZR2Ar0+YNnDhCqV9rJKLowzewHS0fH7eVDtZd4PjyT0+okwa8gfXUkqKF + +PgSatRb2mro4P3ThxR79zoao9B8w5ihhqxDHgDhUnkJPAfHjLqjOlarLd0a0FAJYwtLUjphzSkk + z+jP2NMLe1jGPcsg3JIa63ZnMf6OHB1GhKtwZDmcwTJ3Q+SHeFYprsW1oqX43vz8HWwWzxDwXnvq + oZiL7be/cqyT0qsJ5U8lYj1POvDT24Dju+brt63Dn37nmyeObEWgMXY4yA0Aur1Q8xNHoD+2Rxle + NkVHXZvV6XSHXABvrfb5zrMe4CPHtwJWRXDAl8MogaXy5QR8+ye1heth+PqPBFK/igj39V8XtCs3 + P//tt//o8/MXB3VChEaUpYQ/ZDms3ILHf/hHglwLfv0ganz12pJImxV85ynU83OVLZVITSC+VBFH + 33kjqcLurSz+ZiZjKGJvTW2kyt/6+ePXDQYvFpCtsUW1Ez+mrHLkGX79CzJEYBq+fiiEq4ZPVD+9 + DmA54fsKFbQ9Iv4yugPhL2IO8bT9oOr2vhvM2tsctPBmwkh8PaLaqEf5z3zUi95BNcdbmYd9sbo/ + f3jgR+/TwW9/RuKeG9L1O2+GQtIdMMZHHC13Lz7D68ocBJF7MeY2Rj4YE7L56RFGsSG5MF7mlR4O + yAILucsbWJ4PLlolZnms2DGk/P27FfCf//rrr//1u2HQdI+8/l4MmPJl+vd/XxX4d/JI/s1x/L8p + /+cmAhmTIv/7n/+6hPD3Z+iaz/S/p+6dt+Pf//wF/9w2+HvqpqT+fx7/6/tf//mv/wMAAP//AwCZ + Ns2n4SAAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c68b7e120a63-AMS + - 7c965f584cd11ca2-AMS Connection: - keep-alive Content-Encoding: @@ -620,7 +619,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:15 GMT + - Thu, 18 May 2023 19:05:35 GMT Server: - cloudflare access-control-allow-origin: @@ -630,7 +629,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '162' + - '402' openai-version: - '2020-10-01' strict-transport-security: @@ -642,12 +641,12 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 8275fcae9171cc55ffc4f52e03774dcd + - 2e3b8bc78a0fc8530fe3f5b340fdc35b status: code: 200 message: OK - request: - body: '{"input": "A grocery list containing pancake mix.", "model": "text-embedding-ada-002", + body: '{"input": "a grocery list itemizing pancake mix.", "model": "text-embedding-ada-002", "encoding_format": "base64"}' headers: Accept: @@ -657,7 +656,7 @@ interactions: Connection: - keep-alive Content-Length: - - '115' + - '114' Content-Type: - application/json method: POST @@ -665,120 +664,120 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1SaXQ+6PLfmz59Pcec+ZZ6IiLTcZ7yJvLYIijiZTAQRARF5aYHu7O8+wf/OnpkT - E5FYaFfXuq7f6n/866+//m7TKs/Gv//56+93OYx//4/12uM+3v/+56//+a+//vrrr//4ff5/d+ZN - mj8e5af43f77sfw88vnvf/7i//vK/73pn7/+NqLoiTYPiNOxkd1lf9QuLoGPc5gu5p4voJnnPoKG - hcDcTc8QoPbgUC1pBMZig/CQuOlIffl86NvNoQhgNIYfbKVUqJZh05YQXMlIRI1Bl6WfOQR07F7k - w5BSTZbw4ST9uHmgdgJS2h0CuwQvQZypX1ulO2fSvoWvQ4WwitiYLimfOvA+HHiyOeWLO1dzieCS - DT5a1ueZzmFtSdAxeXpQ09olg97xUONeATZP49YdvqeDBoNqcpFk+Md0XqpD/We8OHfDaIy/exGe - YidEdJekgF3ubJK6QM0Irx/miphg20LZvN2x4xowak+uIcAttWqsf/dEXyZxd4dF2G3JbrnkbGwL - kIOD3uXUtOgbzEWnSXDmlx3ivu+lYrvKNIAQ6SV2L9Onn4ReUeB9OPJocK5+RAJodvBDsz3G2q2t - lqQRM+heWka94bRLGahLRZbN/YCREj2j7jf+d+zPWHVdCQxILk24GZQ9AqUAolmZswQ4l4gnoDSL - dLK6rwd7fu6orzWHiperPYHkxSN6ycgLjCdt9GAgky9d38+l37HI5ROtc+rP5imltXHvoD1Jb8SJ - IepZLLYavN5cF1vybVcRfXkg2B7vAWGBzKq2c9UWfgcnp4dMaCKCz9kCGa4brOYKiNhh+7SgXoAE - AVF7usOU2Qn0TpsbxdOrAdN83NaSr58hmbbPQ8S7vN1CpwoGtJ8nPhp5TiSw3kgA2xF5A4bcrQW6 - QM8QhNePO/ULKEAk4g4fnNcVzNKFSbB62Ftq1LudPhw+hgWf8RkTzgnPjL5bJ4TgNm7R5sOUaIn0 - RoGGRCrC64+nPm/LNoHit3+j3fGi6vPyMnK4z14cRpSfddK7nxg+4xhj60G8aNrYXQnObfPFSlY5 - bHZZU0JH9h1sztYuooft05FwktsYy3Tjstq4tzA1qgeSPq0dsXX+wZevj1RXRced3qmYQJxkNk0E - ibLx0TYciDPhjbHVftKhkKgGiSVF2G4lu2fdJbzDr/DBZE9VvZryjwXhrhdsAgPu1k9BFUqbUJIK - 6s4Rihbr9uLkePJP+Ejjg76l11oDfXp9oJ1zvoNl4rcObCrnTPWhzdkCwyWDyeU5I0c2Yn2aN7MG - 97cyxJopvdx5zS9AOCl3bF/kup8a/wNhIdUuRfG06IQXTgZsw90bOx2+VLOExQJ8jq+KmtP0ZSw8 - RTEUcy/AwfEzuePTCB3g2GcfJ7XP67SXvfDPfKPvg+hTpt/O0CkDi97a5eAuxasPoHqbNbRPYJ5O - WkUN8GAfG6vTA0XMSb4trLafnP6et0yFcwAr3miRUHeSTtyXGvzmGx8Cq9AnqchagBpDo+rnU6Xj - U7tp4EUeFnrY/gnsYqMRgE5FRqPv96B/ZxB1MG7ChewcY2Zkk4WSPAUlQDU1L31/oNECjZD5WO1i - Xl/ClDdg8I5UfKAAV0zYpwqssdpRRYzv1fR+sUmSNpFBpvX7mElzK2/64kM9o8jS5e60DmzOXwcV - ZWeAaY0HsF/gE5UEHPQ5/ogLFFVfpipkR3eadRDD/cI9sY95mc1X/9XIe+2IyJLkYcRO13iAm6xy - 8eF71qtBfi8CxHNiENapSzVvB6LAYToOVKHiQ1+Sdm6ALm0F6nySIh3mA8zBhQeYqp9NwAZX1EUg - 1fyZ7ON36i6bMg+kSh+/2Eo3m4rVSpAAIwwBYcITM4b1qQVPT9RI+9k26SAliQPPeeeQKfBDl5Vl - bcDPRbPJAmYKyFdQDPguIx1tv1nrTk4YWfJxi2tqlAlNp2iSG7DTRIyY2r5c0pBigTObIorRpou6 - dEokYLYSR+0sG6Jpulvr+uf2b34A7U6BBQz7qmBTV/Z6z8Z9DqV33FCD35bRd96d7jCp8i+2iPet - Jv4Ua3BjHCqK1nw5PM9CCF/i7YO28Wars5thtyAyr1uKkwMXDWUcIjl/Zxx1ppiu9W1w9rOaePgM - MpROThBqMPtMW4yg9u7HZqck8Cb5G4yE9JEyfFxEKPkpRvNaDxZOKE3QPUoVta/mA5bjq8lhl5dv - jC/I1td4seA+fd2pBr5uxN7E70D2vHqom2LMWC8bIZS4ZaEuGTSdL/i+ld5IvFJE4bZfPAt4sOEO - MY0qKYmW7i2U8HXWEnww7jIbMjVAEN/ykeqnQ+KO94siwewRG/QoZjf9OwQGgcpy5VANDAWwMZd4 - Kd0mBGtzeYrGaXMR4SNpTSLU99mdNn49QVDaOUZrPV1sNRKBVjWIHm04pmu9FYFe7BMkpjSuFqXc - JxCzm0cd2ZMq9jltY7jGI/ZTaVzjt9H2mufaWKO6XbFgfotQvz5d7KDzK53OCS1g4F1N7Ant/b/i - IYHilnSodtJF/NaNLHFBgUC9nV0KnbsA2yGasfMpavBV+psCm0tPMK4rUI0XKgfSqrd++bkid+8b - SGs+pgdx/9QH/pjcofjpHtQkJ8397UcYbwhHtobDA2Kc9QX+9sN2cBMwyb3ggV1+rZC07jeCw7QF - 9EBd8rygr/vTa2BngCs+CGUK5sFSPPlGGaKG/tjoI6c6IuCeSEXK+3XX52ruPHjQ2xyx+1DoU0/2 - IfTCZ0/9S6RWi3DgOTCJXIW1J6fos4dvZP++Xaw1zZzTyRV1CXKhT9DiqJtoHEJfAK+BC9HmEMjs - rdA0BBUzDaxl6Jt+waYRYV5BC9X2OYhm7eojcH52hOqfUGXTTz9UvNniQ0w9l5njvYPfwcpJfLjC - aGlIO8lWe5SxzTVPl0rk0wKdSBhJqXasJt5PFwiKrkVCymP9V0/AnmXzTy+wsdGPCLgX50Xtt7NU - HZhdCd72OKXeV+JdlrOQh9ero1Plpmds4E4fBc4pD6mJzZYNyWHTAig/nti7v9VKGN+ns1xnZYDA - 2897dvOQA7+apxAJ8r5bE+5iQudy4sm4eydgIOJpAGUXZVgP3o2+6MOJh90nL7CdZV40FHzVweFt - fbH3GJ6M9cB1oEvqkWydE2HTOfmU8BzYKjUIsfTtEB74P/rvLYQhYGy7hXDDQx4Jp+2tYsahnaB7 - dL+EwVh1d0keCNLzujsQuVQ/oFc1d5DSx+NK7W2gpXwhDAsc49Ij4llU++227Sdoqk+JdLA23B0o - WwleZ7MkwlQobMsrsyjfyNRhj+3tnt00qwSprnywvS36tPtKWgyJnbzxOt/9bJV2A4/6lSJuy0zG - F0tX/p6fWumx0AkOow5e1LJGe8wRxmZPgzCXpYaU5aVKR8gKB6o1ZgjMPQDkgKw7gO67I/RVq2De - WScEtE3F02M2+2wEGyICyZNkxIPhmi5jfybw3B2e2PukXkRb1vNAFucX9iYVRfPOizKI75sKWyNU - qqk5VDn8jq5G13rY88Ez6GD5DUXqEr6p5rC81zBbqEjV9NRVkyILITiI+kg9QdHB8rIfCPDyrJJV - TzEGmsqBXIgJygZ7Acs+urZAv+Q6xSeS6tOeLzJwDyxEz2VCI+rcuwXEKa9SFfZaNcVTcIfcCTvU - WN+HvgejhEPj+vR4fHc6O6YYwnTYHAjVblY/lfcs2yVyeiS8Nhouf0ZfCSLsYiIhnkVsz82eXH5n - B5+E2kq/9Pa2oPfkAlLYXJQuqtPHIHFKQphDeECfF/Uuk5eAqBFrQjUZm7sHrtfugo35Ladt8Lot - +3q6IezXBa6WQPTu8MGMHZE+0wiWfD/HcArVGfGcLvUkTKEBaWFDND/aEUz357f91XOsGkMUrf6y - 2OcbQPA6P+6S7/dneJPwBi3gpqWTVOcSwLMYU0Xf3VzapY8FBhwCaNy9RTbnVpaAYfO+/fFHw6p/ - 4bmtvxh5M+zpS5wV2C9Lie1Vn8zLGxGoue2OKkes9YLOxzHwjlqMDW1r9R/GoAATV1ewKZtlP92f - r04uTzueKtz46Ge002t53d9oG1NPZ8R6i1CaTl8iXpTGXS6vMIAh2BvUC8jU0+cTK0B/pR0208Gp - PvnuYsKmtkTqywPTZ98PGihInEg9Nr/13uxvBQg244yP23fFyBIUMWyPUklAdKujxefpGax+HMn2 - YYy+xYRC0N/OF5rOPWCzdOMcGMjDFzuqUOtsb8BWumiKQAAPCjC/LhsT4Fs24kMwxX0/7BQRrnqE - zMb5wHgHJRJMteJCPYQtQOzjNRTX+MIOqrtosobuDEOrvCGY8UXUbg5tCM0cPnGaXBmgfuvnoHEp - RnJaFvpc384OFIYnQZlgWem6/h18FrNC9WqJwHwcjgjuFcOk11I8AsG4Hy2oydqdGsnpki6Pu8vB - /ZL7CJChdOevVipQqmON7Koij8jjbDVgW9g2PWRcx1Y/YALXtA9kofq3n69um4OfH4dCsWXfvktF - sBvjDZlo4rr8yi+gqpwFUkTbOvqK/CH+6Ru0s/mWLUohBtKBHBBG33HndoD5GvT2yQNtSGi5W0IX - A55sm8MO40r3a9QfCaa69iGcv5RssIQPBFzXx0g66Ys+nYNeA/u0uuPDIxajhZPqMzim0YHMBr9j - 1O/MBgj2Qf8TXwMRb0R64/uXMOHaR7MuQR60p52KzYtfubOyuy4wrziLCCufYNmVkl/8UOszvsDy - OtwhVJMpR9Gj2qZsvIsNnL6b4/p8GqPP1Ftg7O9sJKmCoS/28Rnsuc42qFEGHVhwfBHl1Hg9KN5Z - IaOWtD2D/r5zfzyJTf6DH+BRjT9I7o9p1alenQH7Ji/0YGhTRNu5G6AB/Rs2LFiyqSdz+KtX+BC0 - i7uYbG9BVskCddbxR/mRemDVW2STXiqdHrZXBz7mWsX6cWPo7ZTZd3AbJxNxwanrp6nQW/gaMoWG - 9hynk/wSG2AMY09/eni4v7rljz50eaAwVmUF+el9shW0LxtEjphAsOqZevDZ9yz0TwY8f98+dWrl - 6i6q1XlAiNSSyLN5itjY7M7A36KZFFnVgQXGPIHhCTbYP1yE9McvQKUhhjb4iMD0mr4JWP0cdkVt - 49KyITFMHC2jZq8+dNpv/Lt0GAyTPmX6dKdYyjXJ60BE8ZkrXGa4gwN2+aXC3UcMI7KuB+hbQcfX - KthGtGyaM8zfmwBNQLDSSe45BFYeSLaMue4fXuAPgUDRRlJAfzOd6Y+em2yBgGljl6Wsx/mHTA6C - KdukuwmKn/aBLaO0GDv6lgmEUOEwPsV+ternEsz6vsH6NUv1acq14o+fOMZdVLGxYBwMQ9nBmu50 - 7rj6AcBXQvXz8257Rl8R+g82YHerv9OZOZsCrLwCHwY3YVRVnAZGxnnEunG0wJIKWQhzV/OxPlke - G9zFKiFf8RV1wd2KZkefLHndL9g41LdobvSjB83gEZNnXaU9yXLTg5y53P7kX+FlXxCMdjTB6B4o - OpMFE8JfPQ7iLOinXbapwao/f/5Gn8+e3/7WExvJbc8mM9gg+Mu33lF8V3/8EvrU4h+/TYk5LNA7 - ybff/LhTeb6ZcNXLBK56gUf6u4Ar36GWVkXuLF2ABGGkUKyV4wQmgWqhJEeSQt5XnOvzIW4VaPm9 - R3//TyZxk0jlactT69Ucwapn8n3u6xeyW/PnEC+nUj6MDaT63oR6l06BCLmnp+Lj8fHuh/Zz4uBL - TD9UibZG1K96EdyOl4YqtOX11pBPppQaqouRGJK+7oXtAvAiSmiq7hswRd3iAWKJ0eoHH4Dow02A - FvpOv/rlki/UM3id6oDeg6rQGTSDBhJpsVYe8OxnNCtIlkc+p8fj5aVT/loX0GqMLdXskxHR4NOG - sEq7DbZkm1TzEB4EOHiIYF+GmbvqowRuj2OBjfpp9yu/u0vjJjcJlbHvztPmIUpZfm7xTy8takh5 - sOpBqqbqq1+qj53BZ3K9Is7RXLDo5M7BnZEesHtpdZemPSiBlCZHAu9bpweelFgwimKbKg7K0vmQ - fJ0ff0XSyo8XMNotcIu3QJ2AffVBP1zaH/8iP97OTpdHA0+Je0cTDcx+4cQewVmVcowC9VURjG4J - HF/yC+MHxNH8qOsB1NO+QPPKo4Yzeonw+WL1T9/pQr4TPcmubhus3/m6X8LXJv/DQ7X3Wdank+9D - qZE/BjWlTZsyYo0SYDeFEfjIYrbQ06GAj7sFf/qmWrCXBPC1Axc0lZLPdkVkBbCAR5Wu8b72C64h - zD1txgbISDpv61f5J9+pxZWryLrK4Fef7mu+pMToW+DINCOpBj760NI4hyegMsKvpIb9eOzdHFT6 - BApJlzvqEuA48UxE+RTpTEztGqz8mxrAKBjjb+9OspMMYiPdH/vVHyOIcqfHrq29okmRuRD2ijhS - O4FcxFzjIUACpoG61MB9/xtve8WILIQpFf9gx0FqpQUQ6Uv1nljXQoC8u/eoavBX8OOdQL2zBluv - vEon4BwHqVI9jJMptdLRaj0OaJdPjDZo9wYM27zy03/4NAqaO9u+PP3J96ke8dXMHXwHiiqWEbiI - gz6fEZqkXpFGbL56JRIafrDgO4lrimjduss2U0V5LDgZu/hlse2F7Qogi+yFeFwhNqcck+CC/Q92 - jDcPtu/LTYKrfkAwiHV9l/mlKX+35g0rojlX352XZiD7nnqyxl+1O0Z6DmukmtS3tka6qOjdwBCC - Fmvg20fTlDsleF9jhcyye+6XA7KSH49Y9cmVETX8CFBNQo+u9dhdeOFmgMRTa4ql6R3N10tjwMAV - ePS9yEa/TGReoOb3G/QeXBEs5ixqf3ieFICxX4zYkMD3MHJois+eOxib0IOb7dMkzPhIbNQungnb - /XLF9ldDOvvpf78PQ3TGIEunfmElYLhpsH0MrGqa7kooK0gOyfxIatb+eJU93SO0xDiq5uOAETgM - dULErt65EzD9DKw8iP54zmAtI9lzZnDEz07iemaJEMEyF47YFjF0yfauTEBzLBVnGazB8lKDQRbA - 06G+xjG3mRaoQfMp6xTPasKYk48aWB7oiT40Prhbl9YhbEHkIyGPYjB7pzsPwav3kFy3Z52N5dbc - v5F0pcZ8OUcTNLwzGP36hM/prLvMuZeL3J7OFLsrjxjjz7TIOr2/sD9xAxhc3u5+/Zkfv3e3V/9b - Q/0oP7D1EAKwCAfIgfSx+dLjzQZp0725EvKO1FJ0Dwqd6dWyzlcSYQ3cynT+GpUF8+ZZkuETfcCs - sEcB70cvIrXt9aDDYdqBgPMAKfU706nh1hZ8368DwodABmu99KAhoRO1206ptisvgqP9ErFj+J9o - +vWrKtbE2Dnpob6jXIH+8HG8SwBY93cAVv9FOlWo3fl6ISZIOCBTE+dCOl6jgYMZ3ub0ELShTq/d - tYEb/X3CppxP+uq/Owgv+g57Fduz6f4eFUlqdhnVsDhFowmTBXLdN8b4w4qIZn5nQDkSFXp0zhLo - UNs28HTpFBziqQdzbp0TyMPQpcqaL+ewTgfwIps7kR7fCOym5u7AVS9S+2jV+uJWzv33/lgNpE// - 7ZtTBx+pW/zxt0vS7mtYBjGHtfLxYcumuDhw3GQmvn+Kms3FZIYStOuSKlmPI+ZklQTrJqPYlWe3 - F8LbwsFLKp8RNIosWvWsAdZ+1i8/9yO9lCLcbB8mWrb3AdBpuBTguQltspRjwGrtWsRQacFMdtvR - iqbMzzm4283TH570p36ufhjB+/vVkxPvWNAlRoqf07dP57OhWsCa1DPVVn7TrXwabh4vik1yM6vf - fgUOQBq2zqJazVe3yAFqmjPh54MbjboIyJ/+43XVJ30RWSG87f2UCLMSgumkWzE46hdKfWxobM3P - yj4iJxdHD/cIfnxchqXmEmgoXTpF7WzApnZErH86HLX9IFrQ298fZBaGAUy4fybQ14QOjWS39Cz4 - fhP4IdmFni+d7bbbnbn89DkCtnNgC6DO8uMb9NePW/3SBDZ8Xq79k6qnlGsRVJPAo87DfoH3Gp8w - cPjg1//qt4Njn+Fx69drPm/B6icQ3C+ZTwRy0vSJlt4EHwrKsQ8e52i+9EADOOFSerhiTp/pqe1g - U3baH38yW40rwNtZ8MiP746rX5X//p0K+M9//fXX//qdMGjaR/5eDwaM+Tz++7+PCvz7/rj/m+eF - f1Phz0kEMtyL/O9//usQwt/fvm2+4/8e2zr/DH//8xf8c9rg77Ed7+//5/K/1rH+81//BwAA//8D - AH0UA4fhIAAA + H4sIAAAAAAAAA1R6Sw+yzLbmfP+KL9+U3hERqcWecRcBqxAQtdPpgCICInKp4nJy/ntH353T50wc + AIlQtdZzW/Uf//jrr7+btMxuw9//+uvvV9EPf/+v77V7MiR//+uv//2Pv/7666//+P3+jyezOs3u + 9+Kd/x7/3Sze92z6+19/8f915f8/9K+//i6kUsGi9qg6+umforTOwpzykW2hybyvIzj6RUoFYxm6 + SRU/HLLd2mXa653r8w4eADW/+TBF6t6o40Xf2Y6awBH8mBd9PsidgK4km+mazkrKX+JjgBI1/WB2 + 9Ek4pzguYGl6SjcxeSN6KbIZ1f5lYvtZ6NzJvMsRnGtuSyzrM6Tjg3gZlFps4jEvP92iHmwMPmrv + VJ4e73KWERmRaMdXZpf3VceqjwFwkA4vgjfjlDIT7zAgJdxhtJGe3XC43HhJfPQXlpHQLJvwuG1g + 99JtvPGvjbuw4yWXBL0q8ZSoZrnMSq+AWh1LvD3FQ/imsV/Dxz5l5CDV63JJjMQCinMPTxf3hT6H + ZO8gjVPvzDCPcTd/HFUCoss5zh/qZ1ly2fSgKF2V7PwgRtN69apATpiAt2C0JdvkmwBuEcow913P + kQehAm45jHTuRZqO72b05GiluUR9lKY7sHutwc1yH8TlRi7t21BvpPAuHollFaCP9VsXYYZsomst + ndP5Hdx7+KiXijl1tgs3xXabweA8XLarurrrptJTwF7hHXMcfp+Oz3zFwbO4eYzIuecutoJiSJ/0 + jfsSEGLN3Ldgv3mbHLFchx054wz4W9QyZ3fbo3EMOg+Vu9eW7d+zi5qk8WZw8EHAvPoSliXog0pG + 1NuTw0bdua+mmnlgb8Vit6N3d5fpI15Qh8eE7ejB0tfRbFdwlW6U7LjFWFiub1sQUekTMyp9tLDD + RkJvQxvwmty0TnC7MYLmcC7IHgynW3QIW+Cq+8Rw/9DDaRkkA8ak0Yjbbqdw6MSkBew0LfPmxdNH + M7Z8KJbKovwztvSR2FeAMN4dsHC69iEb5LGFw11uiGkbeti/jU6C/Y2aZH+j3jJz2zxC7vrBiHbE + fjj21caBEkRE3P11KfsrqUS0VnFDNPoGNN4yr4GtwB2Jg6+bpW/XZYPGPAJsUN90v/2TQ2F2OnMV + lw/pIOxrhKphRfarj4jaOb5JYAt7jdjNPIYfBa0p2Llu0Ke+3emzWmwN4KrHRLf8cdv1WjcLqzgO + DGZ9OmcZ+7rMZGuLfeJsLlYobOSokIQgLvC712t3BCJoUJ9PHdOOu4c+ydfjBXIBE9wf37Qcsm1Y + gC2XKiGf3S2d6/NpRvHQ6ITIfJ/OMvAGRO/GYwpWtuXw22/J6xyic1FTjuWlsgFWkc72/TbRR3Yu + Azi+xYSko7LqhiuPJFQuG4EY8ArK+WPfa3ggHBIlv4nheEwON5Ck6sBOcf3oJqbOF9jgKiP7RPTQ + DAoRUbReWYRY72c57ZJPBSoYbxazZ1sOI0g+ZN4+JkYTRno/d7oBesrleLUqk2Uma19DVb5bqPhY + aeFsTBcB3fnlTMVMO6brSl4ccNm4ZplPI/fVTXUAVvE50A3amfpYTYYmh+hCcAv1CzE9bzQgAXsQ + 69ZK5dxtTxGcaSwS4r65kJaN4wOdBoO5L6dYlupwjbYPDDHbiUK4UBLro4zPrKSCJkDKIs6y4HU7 + MXq8uCZatpcuQ0b/OdFaTPfLD88BX5MPU4OCR3Q53gQwkHAlnvDolrEN9VY2Bf7E1HVXliN5TSL0 + jwchB5M4yzLS8SattISnK7LOl5EmKwXsNZOZJliHcrxEFaBTGtiMJGc57ZtSdNBuVzqMPBksvcPN + GPm28qTr0bp349M0YhTu5hC/5JTqi3MNPWlIRJ8ZDX2VYyZeeHgd3iOV0lBADXltJbh2lNF5vbql + 1MvOFSzO1FEu9peODse1D8fz44TF17Nwp0TIPZlbyMgUlm/SBT+tGsq3p9F1l+SoTcO4hrVdvRnh + XdQNl9O7lS6JOzKDY3M59b5UwavLly/en7rZ7cQICQ5XEFdW2fJJIhvDxRUERrTcDym+iQ4yKvVE + cC3M4aisJQ6iy91m3jGkKd08Gwmid+v94a9FcVNJijPRYI8vP05upQYyX+gVFY41CueB3T10Sn2b + BIfC75aDGXAAgs8Ro63MlJq2cUMSjn3iaVyORoXHDWqI0hCzoZy79PmFSmx4Iho6fZ8utX7EUC+v + hujnR6LPlyIe4eLyAlPX1Ryy12vCsG1wgPtR7sMZ2XkN8dDqTH1szHCjsBxD+jFqCquhc0cjxRE8 + 88li6XzR9Nktzy0IV/okh1AUw2GtHjnYROGFmS8tSz+ovBZQn+eRitujvHx0by/AZEw8nsPHsxs+ + D2mUtg6NiPfF/yqttgp0c3LGvC407phFRg5LblBi5IgvxxvqK3RU5xsjq7Z359s+viEji1MsZvui + nLkNKJBetwUjmS7rc4geFirEjUQ0wRrK5VDjdsuGlUJ0byctfZFuRPjqI6Juz2U625uHCJ/z7k6I + Mj2XKe0bAxJIK/xs2jAcZj9w5PjuccTS5EPXO88kAM5aLYQQysrG564j2CtvR06B9FioUOeAYkg0 + Qg4V6eioyRYaP4nKnCldh8OzeWtgiZPLvNt5KFs/GDXQNkbJTNoxvfYDUYPnitvTdcQV6cjtCg9s + umh4fedWLtuZKJGYItrM3t/mbjpaigi0TByiL/7n3/rhy9/M8eOPPmSbt4e+fIsFybmE47O6VDAP + x4Hshjkqp4EmBcRTt2GGuA2WOV/HDsKN05D9e+6Wd4DnFrLn7cpUk73dRbuTBG3G54k4XrsPl9Hz + M6jcRqISe51SKiMyoy//4Hkva26/r4MIiijV6DMdI336oDqR8PXyYS4yspKGsn6BaxWPxCVx1TG6 + 8QKQI6xibpfz5UzOoiGLCiQkPpdeOpxL5YKKSthh9O1P2hafGXbUOmBpvVvrS/+6zEg+NDIxD7WG + 2F6yJHTeZ4hpcwglpfhTgJKUDfvyc7d8hqqC99GsmblybiVbn0Qb7bubwexMO4bz1ucvIKyEB7GT + u7YIU6FGslxwClGbNkynxqQ14HVbU240JtRqZ6MFRdRrKmewKdsdZwToi1fEU+2nPrf6KZdYf5QI + js/GQs9uhxHbrTXiJkm5jEW6kn79g5fTrQsXrtCdH94zjfcPy7c/PbAvZEXFjUDS5TP0FbpZVYVP + XaIs834+8xDfMUfFdr1y5zTMaunNvUrKb86hyx7VEElffcucXnm707YeAqC94jAvEgHNC4URDqdx + YLawUxC/zQQMT/1oM/PjK8v6u/7yUWiuWLA+h/TrB3iEAGyirju9+1yUPIGj0F6x1Dpvd3KtTwwb + E7I/+om/C30B4+W5YZqlr5Z++2priNTdHo9weJcLI5UHvnVK8fStN/bTcyuuGYn5FNVwmE4BBnGH + IrpNprSj96al2+/7sGt2RyHt7p8erhY/08LeaelYCoYFo5EbZG/caNif5SkCy4OQ6DvFK0eHkzxI + r6ggeh23aX/Tjhpwu0RkP702LwsvoBfW1mz3uL/1ZdI3I3SHXcR2ubgux5ZufET0Vc40f8nQkG0Y + RrHiWPThvrPwDx85u17FbbYSuhHF7UUCIeDYDoqwnC9FNkq4Ft8su1hLOVwyJYYvn1F+mY1ycosb + SNxQCMw1hwVRJ7xk0Mzti3mXCsrluk9skCY4MLvPRnfAOKIgZmowvEZL7uaX0mKQt5JEuUmaysmD + py1PRb8h99Q/L+35o9twEa0FT5q+S+fqeZLQ9eT2dELWcaFffpDDuAgYGR9oGTeNEEt7CetEK0u5 + rD7LKpbWtfUi+0lxw1nlegrxrjDptK7mdO6U/Yyq44nHa+U4p9R3zhEIG+9BN6V26uZRkw0InsQn + mpZN4XR88gVylmJLvOJwSOdLpRvQReKVWLK8T99NPCkSPUke0wX4uL23HGYoj5ZB14G0Wr56sUKn + FVN+9afTrCxaeN1GnmjrFaR9X60caa7jhSjqoUOLH+AEPNFnzJMMKZ04cgxA03BNrNvUofaRtTW8 + umIhh6I5pzOWfEvOPDdmu0d8QkvX+rxsXz4GfmLhpI/VcTMiurMPjNja6C7mnObSeS8pzLxzD/eP + P91MS/yHP+vTlHFoeesNnTZJoI/sxHHIv7OEOd/3H+5cWP3xt2tmKeW8eeYSOJgI+BNeb/qURIoH + DpEAj5Ut6uydGDOIL/7MThGnhZvr6zCD2Rgx0cMlCRfo3QB5T9bj59YP3Omrh4Bdgh0xatEse7XF + OfJ7KcPnqrNK/ri9UoANGMzcMpoOccX4Lb1trO9+d+GEymsO/eNOMFy6wzK1Qh1DwhktOcX1qmOX + bnYA2YaLEX0d9UUJ7AAu7nWifHvnXQp6U8Bl7Hmm1vySMuRtNCjlSGFJSu10vexfI9wqq2CeVZJ0 + /OHHXsxl8u2/7luv4m+/KJ1VbZnOHK+g4XpwGDHuz3KZM52DVVPMdH7lFE3zLDmS8epTLL73j5T6 + waj88gEqnK5eurmtjwJ86x2v0Abp9HrPKBrDQMd8e4/0WTo0DbLzbE+0S80Qc0c8g//KH3hkb7vb + nJkpguYINSHJTFF3aU0BbqeoZIehj8vP4iYGQrbl4jINOn1cZfcZkW1QEDNUJ306dZEH1vPq4Q3e + NOHnuLplaNenO/y6xSpifKTzKH9nPv3ibzhG7TWX1qR8EoxF3l1mpdJAVLiEgmXLaMoHZknFPdsx + Y30I3emeowakjsf0o3zkdI6SLoHbdkkpXZHCpXrg1b/3x+sv3k9Sc6wRru8Fc6ai7pbryxz/4IEi + VULZHd4SoG/egcV++ywXgpIRnKxBuJYF0f19P6L3wGUmHyn6dD2HAFVeiMRu1yt9RHGRSIsuTMT1 + RSPdtJ4ogmpNrx/eoJfzvmtopcqMmeR0DOv9fBbAlCdCbM0I3cUkKN+ih2rSVdzduxnZTYWsKArZ + WRRCNO2EE94qLTd88ZlberEUArhKGSUmnfNwVm8eRY9dfabbROyX/t2MGBatGtkund7prF9EgEd5 + JXQ5jl033fW0R2G09sh+OEghPS2uj774SYVTkLrz4Xou0Nc/E3WTBO50N21N+uYrxNuOiTuLt5yH + zbZKiGI1ktsoPG7hvWk/TDsUY0llrklQue8NFhpC381ua2iokMBkWdMH6bznPQeZwtUn9dX09PG0 + 2+bb8mVuyN3gt2FXbKfbLw/BM7mM6aD3coGwP3/wx6pp2napnCBhxT/YzsTnjkouRNArwxEv57pL + l3c6WXLPzwFFnaJ1m3e6NSBbTQFG76hYaPjoMiSZvU8M//bW5/miYtTm6wuxNOEWTjdHMaDAoc50 + 5+Lp0/kZWXBJ9iPx+JOLFlxI0q9+ydcvIsqdbgrsp0onadmU7iRfr4mIHplDdt/67wfDzSBogxM5 + DL3Q9XPtaqCpy5PYbh2U3W19FaDSXmuG+0ugz/v5wQOsYp3g2A/LsSlHG2j3NmkTcIFLhQdUIBXT + npjtioQbTbctsMTFJU62EsqhTeYexkDRWHwcvG7yHqoH+aU/snRUHuUs0VuErEk4kj2St/r3ey35 + mw8x1T3W5TyLIMJZtjZ4+9Mb/d4t4HqqJrKrqlM67f1P9oevOFRq6UZhjQegdRoj83hwv35GAz6C + jqhms0YTF11jdFRPZyp/+XpSxSf88jgWLwcnHMt4I0hv7fT+5QXos0s+9Ta3Q4/Ot2uOqH90KewP + nMX2suSkXYDnBoLUPBLTwnrax2Aq6KMmFdt984vB2KmjxJ2GmTk7+1N+1OjeSssV2De/e+t9o15s + KWFRR3aBLXTjMd2OiPWhhNHFLxG9NwWFGGcrtluaKHzBeTDE/iFGLEg2qj6eypcDu0eMydf/dD++ + g648hEzLSgUNZvXs4cj8K1NOl63efvMvAE7iyE+/j3tdilFdF4zYn8MTLfdgyyP+FrdETzbbjvZo + 32xnUHtcUIrd2W3OvSS7qw2eV81BX96JN6J9PmyZiqwJjbeHCGA7sUObb17+0yvw5UdyWD67cn7d + TgLwh6qjslq6rvjyLxG8x6BlB3x33AnPTwWlATTEVk5GyZsx9n/8wNxQq0Jao8IAefIl5pWQonkI + n7Wsb2/ZL89KqRGKEqyO9kJs2oxuH3nb6t/rE95xOHbYrRAceQvLatm5Q3htevjiMd1U1TocX74f + o5OX74kRPE5oJPpRgmToXkTdK+tvfuXz0F4fF+aOuxHN3/6XTEE4YV5n8TLF1ZuH93FXYz7lrXAZ + rlX0R1/A+PF0PjGrEYYrcZgrGE80mYWcoMyrU7I3RtotypsUKIaLRpw1tsL5u//oq8/w9Chfeq/i + QESP+9Gn7Xq3dt/mnBawYvcez/R9Q3NyyVow8/7MLqPD0Jg0xggkGB6UXx9CfYzzayK9tpuBWbkm + 6d/8YEZHuo7I4bsef/L/GfT+3/piJXIUHvh5ZJrlTPosniCD86PaUnGFKaIN2XOQ+NXAdra0Ceem + XVdoB7xHV0q5Cvt6X3LQ10rINOtYpL/70sNER3Jg8htNAw0KFMmjQ85ffuh4tsrQ12/gLRlu6XJ4 + z/DTN8T/5lE0UM4erM9RTULV6ZfxfvVqOKrjjXi5PoRjJvr8L+/6k+cv0nFl/Pwbw64XpaPzDHxZ + StM9cZ+zHgrrvarAaxYXokhVXJaJ/GohE4XLH7zgXdEUQB/T65eP1ZL/5ZEF7m1ygNJaWP54+VDu + gxXt5JsarhuFFqhdvWJmR/mEBqRsC+Rn9oPcDrkcTvd8aeF88SSmq3raLUqg+H/0suovVkppe3Kg + ENcS2+WrGvWPvr+gaxWN7JDBuVye3DaHb36NufdRR1NKFAc4S14ws7zRHetBDGBpwg/l1kPRLaN3 + yZA3SiPmG2qWH0EacvQUa4cKBwmVFEfnDEym+4QIN28ZvvgINGpc4jjDxZ0Oyd7ePovMI3gbHPVJ + I/caPue8YIc62ujsm5cBOWgv+kquYzmcnzcLOdJ9oVKrr9FizmGOElWgTDuenmU9vveJdDJthzzs + vZpulscYyOKDXshBGmr0p7/B7XfkrH4+7mje5kY+JRudaZdBdcdfnnkyBvNXT+FsvX0K33kJ/Xzx + eH17NxrU0A54HW2O7iRkWxFMp7qQPRluIXOnxUDf+Q4zM+9Zzj+9ca9vd3JKrn433jKjlZO9NxAz + tLV0+OWL22sWEp2f9+6crbIAyPORUS5Ymek6bdEI6hm35Jt/dv23XtBjdvHX794W9vUHv/yFmd+8 + tt8d5uynv8l+iLpuiugbYB9ZJq0PEuomcRwuUK18gf7mjQxNeozobO/xFBT8Qq29OP705s//pxtR + cStIPeHDvF99CXAV4Mcn+rc/ppv6Tv7t977zCv4sTzHU/PpD4fPq0Yi22gXeidPRZ5sv3/oZA7Tx + 0IXts8rrxtq9BLD/jBwzDsa7ZLf4UP/RA/ZOmpfFuKIWvv1O4u98ZwzZsf7NL1jw5In7J09aNreB + OOvdSe/UtrHhq5/oNO4NnZX+ywK/v19JfArQv+c19tXaM/xMDX38XPQesmsXUeSWYSd88xc4dPea + 2fIjD8cNayl883VyCFf7bkyrSYPlrTZUMoMPorP08WAKy4Voh89zWcJ3UED+vvkkuAWknK7nlJPu + 6j6lMpN3y6TFKgdPPbTJnu9dl6e3MoZbtM3wvO1Ap1Wpeb/8niiCGKM/88lSjhW8aS0e9WVyuaHk + DD3Tx5WoDwIcBQjGS8TwvVn0YdrMWPatc0o5necRe0M/oqeLbLwiIef2idmPMHj2kZy9oUlnUHbi + H7+gg9N0RfgoM/jqEbzhlmqZc9AKuC4WIzqr9uVo23MCwInc1x/k7ldPB5Aa+EPp/v5C1L7733zt + 8MQXJOfdOLmCAF+/xH55Gbutjzxs0s+ZZN/n+0IxfDlybPxn/rzc1lceqUv2Jop3dHWWGIkBHVLO + zBR02k3PhimwzugLC9Lx0y16hnowr9GZRdWbTwd82lvwnQfh+rVy9XF5OhzY8lP9wydD4r5z+Plh + rUWy3gTxloIUqQ7T9mxVtl9/D6G0cvCY3y7phopiBY9ddSaO9OG7UQicGeKq5vAorm19wcUsQle2 + F4LNqdZ/+SL68YFnlSycEvddwDbnQ2ZvF6Wb0kMqwFYoPSyx1zr9uCtekv/+nQr4z3/89df/+Z0w + qJt79voeDBiyafjnfx0V+GdyT/7J88I/mfDnJALtkzz7+1//PoTw96dr6s/wf4emyt793//6S/5z + 2uDvoRmS13+7/I/vf/3nP/4fAAAA//8DANL/eN7hIAAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c68da81f0a63-AMS + - 7c965f5e18121ca2-AMS Connection: - keep-alive Content-Encoding: @@ -786,7 +785,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:15 GMT + - Thu, 18 May 2023 19:05:35 GMT Server: - cloudflare access-control-allow-origin: @@ -796,7 +795,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '303' + - '17' openai-version: - '2020-10-01' strict-transport-security: @@ -808,16 +807,15 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 1e17820dae161f47acdb4b16c759cb46 + - dc8b7dfde23854df1e58f324fdda5156 status: code: 200 message: OK - request: - body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following - text, covering the topics present in the text and nothing more. If the text - does not contain information, describe the type of text.\n\nText: \"\"\"What - is your favorite color?\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": - 500}' + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"What is your + favorite color?\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -826,24 +824,24 @@ interactions: Connection: - keep-alive Content-Length: - - '320' + - '269' Content-Type: - application/json method: POST - uri: https://api.openai.com/v1/completions + uri: https://api.openai.com/v1/chat/completions response: body: string: !!binary | - H4sIAAAAAAAAA0SPQUvDMBiG7/6K8F68pNKts9XcFHGg6MGTKKNk6bc2Ns1Xk3QMRv+7TGRen/fh - gfcI20DBDKPLqnX7xEX1VvCqennu1+z9+6N+ze+7j+kBErz9IpOgkOiQasPD6ChZ9pAwgXSiBmpR - 3qyWi3xZlRIDN+T+9KzRe+uNzfK8OPkdW0MR6vP4O0NB3InvieIpKHTsrW/FjoOIPBB7uoxip/cc - bCJh2HG4goT1DR2gcgnH7Rh4G6H85JzEznobuzqQjuyhEBOPmDcSU9QtQR0xBh7GVCfuyUeo64XE - /6MzvpVInLQ7gzKf54sfAAAA//8DAEaxPU41AQAA + H4sIAAAAAAAAA0SOwUrDQBRF935FuBs3k5KSmNrZdaHoqjsriJTp5KUZm8xL572qUPLvUlC7vZx7 + OGeEBha+c+qHsc8XT83D+riZU9hVwa++6peOH90zvS42bg0D3n2Q19/HzPMw9qSBIwx8IqfUwM7r + +6oq60VZGwzcUA+L/ah5ObvL9ZR2nBdlMYfBSdyeYM8YEw+jbpUPFAW2Kgyu6v95aaCsrr9yy8nA + dxw8CezbGQPJnzJxT7BwIkHURb0EclSKl3iXHU8kF3nm5BDiPms5ZcIDcaRbyVr3ySkoZZ57TjNM + Bm2IQbptIiccYSHKIwxCbOgbtpjep5sfAAAA//8DAH9kGllMAQAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c6908a8b0a63-AMS + - 7c965f5f49ab1ca2-AMS Cache-Control: - no-cache, must-revalidate Connection: @@ -853,7 +851,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:16 GMT + - Thu, 18 May 2023 19:05:37 GMT Server: - cloudflare access-control-allow-origin: @@ -861,29 +859,29 @@ interactions: alt-svc: - h3=":443"; ma=86400, h3-29=":443"; ma=86400 openai-model: - - text-davinci-003 + - gpt-3.5-turbo-0301 openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '865' + - '1431' openai-version: - '2020-10-01' strict-transport-security: - max-age=15724800; includeSubDomains x-ratelimit-limit-requests: - - '3000' + - '3500' x-ratelimit-limit-tokens: - - '250000' + - '90000' x-ratelimit-remaining-requests: - - '2999' + - '3499' x-ratelimit-remaining-tokens: - - '249500' + - '89461' x-ratelimit-reset-requests: - - 20ms + - 17ms x-ratelimit-reset-tokens: - - 120ms + - 358ms x-request-id: - - 9a6da5aea5e60351c57ce201451e9983 + - 521bb286058bf35b2c314a680e47dd06 status: code: 200 message: OK @@ -906,120 +904,120 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VEpQ/rDgGRkxQBFSeTCSAi4IFTW+jO/u4T/K/s2fvG - BEqCpX1+p6f/8Y+//vr7m1Z5Nvz9r7/+fpX98Pf/mu/dkyH5+19//e9//PXXX3/9x+/3fzyZv9P8 - fi8/xe/x32D5uefj3//6S/ivO///oX/99fcZ6z7epWjZNRd+c2GRtyvqQqWnQj82ERBDVShmht5N - WA56YFJ0pbZVPTouvwUfrrvG9cB77RFfZd83RKggVH1kliZoF9CR7qmjJyhojcizojZCx9zCnvj6 - dJONkwRuj0tND+JmCPuLuFNAMymnmr3XK55N4gLoxtGx6+WmMz6ObQnP3TGj3uUhpH0FlQfbyN0R - 4fZqU5IfQhEVoVZS43ySQxruvj1Ir/sVO/azQN/X6xyAGBxib43vV6dXq4ChUv5gwsEu+JStCAM1 - Zqr3OHV69fQU9S2TwnuSMR8+DrMR1Gg7LFrsnnjn8EjzTZQ2ao2PdzfUxnRzecML7As22DVJm/au - l+Bdz50nDuo6HGtUCnDaZwgrZpo4/O0te1Rbh7O3Jf2T8+Ai+tDsLhlVtTvveNGRN5KbkVBLuJyq - RihNd3t83A7eqmVauvYOuy8kxQd5TZZv+cTvxUIGMUi9r6Rt0fTaIBUV7ftOxjcqK7Z7dhHczvsV - maztwpmUt7RAr5O29QYqxpy9rgcTtMHR6OFotlW7iU0Fqr3tUP2c91V3fXQ5uuvwJKOxwmmrD6wH - xWsd7HbK1mEH7aiCn8d7HHDjFY59USWyI70xeWLNRsy2bSbt5OOAnVtQd71ALxfIPt8zNtqhrcZ4 - SQD8RKg8yfCg4siNY0TYN6Y7Y0XT0ZUED7aSsCRTVRl8BX26AbxdrAhPZVyxi2ipULhCgq3roHaC - 3/UxbC7qgR7r50Xj1m3no3Fc69hzViSc7vs6QdZ5nLBxDHaaWK0yE6JT5FG8ZZFG+9XmDVlRnbB1 - Ejhi+/EB8K3eN+zWXd+N9cOrYa/eONVUtqvIcctFkNJ+8JgXfRHD+lOEVbXNsRejHPFiC720SuoO - 3yJ/EfLddPJhhbIbNY7BUxvqISOgvw4fbERkh8QtEzJQzYtDJKWzuYAbAUAyLYcesumNRn17jWEU - FpTuTo9z2sIRC5vWT3RPqLEfTvVaq9F48HrsWNRwxot98SEfJ5cq1VNEfUfHDZAwcj2Z6VE3Xt9T - udRz6UH3ZP8OWQvxG5oj2+LDS1HDtRLta3hMloBVt3t1/N30JYqsMcBHpgvVuPFuNnzj7eQt7+Oi - Gjp/EKH0Tzq1GA75GLS9Cq3cY6xE65MzXadYgO6QbekxXxthfWcPE05SpOKsqD0+JsKawNHyFOp5 - p5iz81vLgXEcYq9UA/QSQsmAMowpPmkf25kCPS4hsniAlesiTifsFBuZGIpCmrpfhTR5Ny6ELC+o - U3w+3QRNbaDPd7EjqF5pGnNifyPjplhQZWdcnQHHS1X61Qu3woZPpjxEoL7aqyfwzudCvUi+4J6w - R+1xTVKapeMCHDc540Ox1bup0soLNB85+X3fiksUjH+vn/pS01ENMhHatxV5YynUnKxRR1D5iU2y - dvGkkSx/TpBzWfK4FNNqYK5wAc+4y1SVWRfWnjrFaLy2FbVIv0PDuxwyeKieRuB5P6SCWFMD3Q68 - wXomDSGJ7i7Afih8HG40zeHfoibQt4ZGnXx1CSdBBRPdU+tL7cNh5Yy7bRGBoK9E6sBVRqwfmwsY - L1XGh9u94hN5Jhk6QcXItjOXFV8cxQ34x4VHPUESQnZ3eQ6256X0h7/U7GkMCLkudYT4WTG6uyjI - fXkfrHZjmbKyH77w3iPF2/JL6kwXsgVp/15r2N2cTTRF28aDr0o6IvCJdJ1ZbUrktdujR3a3Whs3 - 3sn8Uw/2Y/NKx4hKFxCcSvOmbHx0bDyFNQoO3pXi+5hXHcmQi5Kj/sE2et4Rie76Aoq7f6I3hjli - maOrMG2vjB6uXVD12S0wQR7OPjXoUHDy2w/aRVt6U+bVDt9Z+QU+yhKT6lMQh3wWuwhtF/ETW535 - qOb5LNAVThXdhfa3G6stSgBOa4cqq+LB2fkjSRB6VKO7Ibf5gA7KBC9bHMk0RXY3iPYUyHZXfKi7 - apfOtEYVkau96ZBFNRgOY/fJhwx3JXbylZjSCV4x6FeeYmsXZ5xoeFBQkZhvnCuF000fijzk3psO - qzOeslEHCRnf+kF/9UnN/pPAWgmDmW+qlI7VBsCvP0e8W0srbfKnLkfOjTyxam0X2oAOJoMFNwzq - VYOh8a25LdG5F0NsBYMbrvr9opbuy/eG2ubWSP/wxTU4aNg7a0U4zvODz+QLWJvA44N+5j0or9DG - 7vP+CbngBRmUkjZQSz2t0ufLKTI0Xr8VPoybtcZj+lTB3NzfdK+dj44oG0qC6vftia3cbxHRQ0eC - 9PxQsWF/ruEkrycPvkJ2wGeWcIe8T58C3XeiiI0yHkOy2ugi9OsYz/jSOkw5DUya+RXrSw+nY6P7 - ujzzL9U8t0zZa0QLOMeCRJUm2fPxjuQczF0yYvc7tekg3swEud8oILz7OFw4fyZJeh2oQbot4um4 - 3U05eEKzxoqxfKGpOrEczudTTI+bgDl8WH9V8FeaThWur8LpXiotvGxhJHywZd6L08qT1C79kMXj - /Q2pmMcK8OSYY69Du048Kdsv5IWUYw2dTG2QEiLBShFVIiutqrGAagH6nFIDu9SLKuaWaxc+K/Hi - EdnEqCWbR47WT0ehJiKDNiK8bmGeD47Ut+NMfn2PNgkKnoQTTUz54riQEAkvLt5pRR+yzXcP6FTy - AwFNPaTch+Aiz3hEDfwZuuaOVhkqhPOBHlilIHLf1/EfPra37piOduFHcmItYOaP0WHL2+CB09ox - KZ2OOsxTpVgeVrVFZz7qevvSZNB1koW152cZfr/7OAeL7xcEwfWO2HXNcrDkqcbu6qB1Y3h6tzDz - pTfkayOdwvWWoR9f6bbaIe68ripc33pG+sUYOiQWFB9CXjtkmZ3t6oeX0m+9f/U+XvjNQ6u1tPYW - rU9Str3nBNXW/oy1qzhyQo1XCzN+kaUqKZyfd9cJ9nf9hmc+D/lC3AqIr6sWG6LVhVyCYALloas0 - T96BxuzhnYOdGozu5a/O2ea2FJCjOm+yNHDF2cqZWqSWRU/3VVqkPFhuXVRw5ONjtF/+G/9XFcqJ - ZCm1Qy5khG2itDbhXOu7zrpZATq+FxpZQyk7bODxhLCYhnR/NKSuj6bWREZsfqnbKTeHRVf5AlH4 - hD96lxX7yoDDx/Mxfi0Th+XZqAC8xBor98VL49qK2XCy1Du2IblUPEu3C/SAuCLdgxA+Lqg0wVKJ - A3pHt3XIvX3gyvzSAD4O31b76WNwql0046lZkRkPwZFqjPeHzEbiMIw2tEMQ/1u/8Up5Q3yId9Rf - FUtEl5unL6cOibErVtdq3LwuNvjPXUfdcrpXY1btVPlz+Gbk02Vu15LQjZChWxgf0Eab8ZO7sFe8 - PbXb9NitCnwDGP3ng57VTKjGVf8uIBhFSo/+sei69drNkTK9LnT3eOwQc5zJheC2AmxajHA+KPkC - 1O72oYpjaN1a1vw3KoseefLW+VZjvxffcBXL0PNbcYvYS1FNeEF9JAvA63T03GcgK97XocF77DVu - 2dyEUPXfNEwdgY/nKmxRf9Fb7CzU0WHq2f2iEJsS/uPvjqaqgk11i7A6wRX7tl0NDrsWWLmUddov - PygCgcUO3bfrpzPBEYvSvSQ1PVwmyXlHXajD5SOV2AmDK2dCfIp+eo2sb/Xzpw9NqJ+6iS8nSNLv - fkkM4JcO6EHhY8oOgihAZkkBdhbI6vh3cBL0UF0Nm0Cqilg710duxBi1wreOGHH3AZx26IZ3GKq0 - tVXUQ7p7NPR4d7k2+8t4+w7GM81LdUL9QmEMHR5dROBgvTS2H68AHB1csr0ItkOwU0jwOFSZt/bv - x27c5bz4rRfe3QYfsdKyFugpGhWRT43Qjf5nbwOSbxKpGCmc9gMnSb4GpYS9t+VX7M27BB5L2NP9 - 5NYaLeW0Bh+RE6n5RCq+vAsZ/PSWkrmRNj2rjw3rdoeociqJNiSnTAHxbYzYq4a3w06mQiC2PhRr - +z0JSZY3E+SKyqhZiw7qesdzkWo/t1jPdhEayRQnSLWrLWFUZNrsX9/olQZf6jwLRePewWqhmdod - WdpbWavJSvHggrcUW6PphrwWQoZKnJ6p6/gq6q93p0WzP/W228uHT4Ut9TDXD1l81EbjDn+ZcKTC - wqsy+e0wsf7oSF7vJWwk9uqnny8w6w1vKRzVdJ0mdoFw4bnYXrifinwo91BzOPQekDNow9ZXajQc - BANf465xRl7EE9RatMd21hbpWA9ZDx+9GGm6fhvdWAZMQOuPcKQxL8aOxTkyJGOrXvChPlh8OheV - AMOzZqRsjmL340tkEgJ0N77MiqljsZFkqcuwPeMh4906A+FRZl5PzpnDxGOrwzvgZ7yf65v+ySfG - x5qUao0cCrvGRPw5JVSNlG83YF4JQMf7mtqkdMJBUT4iKuUXpuZp0ab8SY85ile2jvd+eu9+9YbU - CSqs+/kl7WM1F5AZQUgW2mdCox2OrbxEaoO98TWmpFt+RBCz6EB3nVqE1JRWJejXMSXyO/w4xD/6 - F3nGEwLL1qnW36Lu4VrCiI1gFSDurqI3ODDK1PlCgVg0tTb4XZDQ/az3iHZHJlhFdiObeX+t27Oc - Q3Ivc6IE6bujxVYg8k9fGTtRSf98r+XTV0gjYSXlu+nmS7P/IWMa1w6tsflFz/Jge5H2qKr6vhgC - mP2mJ01N4/CnJV1+4yQdhyv/rQd8lo75wxNEZrxBlwEjjNOz4IxpqGVgnB4pVuPDOxw7/yWgy2dT - 0qtkBN2YaEcJPVNJJeLqyjq6JXr7xy80s//uK+g8WB3JhXpK0XW9+YwJ2rVvEytBalQNfY39z49S - pyD7kJ4z/Y3MlbgjBQSflEldLUK73qn4UHknbdY7G/QnH0s2VGvzc7OAS1JfiITPfsfXYTHBevjc - yVa39XStfUpV3hn2xpNnfhjLYCOgMOjv+FguaodXx5sHbN6lbH7feMrOG9jkW5XeHuqrqpToWEPh - igkR61ORTh7Va7QSRhdrp+cr5Gb/iQGfny/8bcRSGxcLZQPGYnzj+0gPvMwPqQClH+rYOxC/49dh - W0M+TBPWUplW/c/vCS9a0z2ItjZ5qPLBO71TuneqbzcW78sCpspuSOfIEZqebmlD9mnP3tqSXilz - x/1FUnXW4L3wJRU7CAsBPadqR6S6ySp2K8oSpOd2RR0mLNNxypsI4jdCBC9YG1Katy26nr8vT0rb - hjdb36x//h1jqfTQdG+XBbq/A4Pu7gKpxqAPc3RkZMDmoB/SP3pK8sQYuzeTaOOMp9LMl9RK0IGL - 37H8yk+04t6k1qlGuY1qiImy/FM/k67Lk/S9EB3r473UZrzOpdn/YV+8xSFfZEcFmhML6fkRlR01 - K1bCajy2BJ30RqMNkcTt7Kfwfj9eK66lToSWUj1hT5bsaqKVtYFldSe/+gknU35doOkKoM5WTdC0 - 2rjidgIU0N0bld1vJ8Dn0GbYucOdT8GNGOgW5D7Z6sOSDwMrFuhUjgdPPAZPZ4i/T4BubBKsD5c6 - 5DfzXICHrjpWWXnrJs8acxAlwyaCh/SQvw1ThDlfxPau1tKp2RUBvMbtB3vrvHD4pwsXSNwfNbrz - tWc40tdIQJaajJonl3Zjty0Y6rkwUO1b6B2bjD5CjhufaaymHWI2Et4w85O3Wd2Kqr9/vgEsuuWO - zvmUNo5clJD0elypeUsch58WOwZN7jF86DPNEVqi5vC2shJnQa915HWwPHjFtuyxmT/Z63X20U// - n9Njjfrx8SRA4uaF8bLcO8JnbQfweYoy4bu15fCJPALImGx6yx0+duyg7VVk7y4HT8y0mk9LIiXg - RhOjeB4fwdy4cLhMN+zaVzscLU3Q5XAvmDgIt3bVHcJpAUTNchIn7h6hvR/p8qaUMqzDwXSm+DXZ - UIS7kupJXvLpyppEyqSTRDWu9RV/fWQdhpcd0J9/n/2XB18jOHrbZ860LzBkQiavMw9QNfBZ/9ZA - tZM869d11d5DqUCQn77e+oTNlJmbcy89D5uGqtvmWK3UwWrRrM8pJsdVx/aZmqCXF4fUqvynNr6i - a4Qk/dWQEUwfke4oqr9rekgnP2SfhCjgK47sbV+vI6ck4y7UwXpJd9eTkRJCixoS5WvjAPaxNgyR - S1C7D9/YLWrCh8hYxii4rYGsyvLAJ+frCaBpSYK1QyLxP/nTLrFPZHMOjyl3+GDDKxdtb/zkC20w - szGHGc890QxaPrgSuNKcd1Jj5U98dItDAsvPzqfaIUk4eZusBVEsvthhwiPk1VRfYGWbArbU0zkd - 72bkgfAoMmpscy9c0de2R3Peh52jWCG+zq5feBf7J93lw8HhL9HxgGXviOqstiru20Upz3mwt0Fk - cHj+PfRQlfn1l8doBNI7oHl9ybo/v1J+XOuqtHwGyk9P8bneBKSZA8epRd8a++7jDKD7CN6qXT81 - bp7bGOb8nOq3VxsymqkCnODJ/vj31ivEDP3y0B3WWsQiZRPBZbFvqPMBOxRtFRGkpxeZ4vQcaX/G - rzf3QNa8/TpiDGvzD58a8/dsyOTHID18jDOo6pCBfBPgXTUa/uXnQnX1dVTpJKKzHuaMX54bMDsr - wVoSQDqszk2BZryhRvnAjkD5QYDEeu5n/FQdHoydgax+I1LsK6d0dC07+ekJqqJI4UOwkexfPWDt - /K2cb7dQVFl0Nj7d65ulw0m3u8gzf9FZf3X8GroMDau35VH9PiFmGZ0k3dJRnf1DU7HquUjgbhaa - R2Z9OjZHY/Hr/+DjKyHVaGlgwBwlU/u2vFScaisR8jpTCNLoNmTk25TgCd0a//KsSd3lElRkI2Ac - HjbdBOkZYHsvOHXCYM0nJIQRmv0oWffLvJvSzsyl+q4TvBdFOeXYHA35c7z12LgA66YHucRwPocx - /embQT8jAvYz3Hjg8ohPdVtLv34UNU5zX8EM1Tdc8+WV6ld+075YfwpwXa729I+eu+BB+uU1BCLz - +rvewNFZv7zNUmPOiDbTG4gqnb3PuLlqQx6fGHxMPcTXYlt3/MdfBVIjElvMQ8L0vJnwiFZfsk4O - ssMui/Xml/8Scc4/xya9GxB8jT0pQyVw+Dlza8R9qcfedhdoE7t0HtBE2FBtM2Th9BzlYGv5aond - pis5myIpk1ak1mnq6Fk6rt1nD/eyr+msFzoWLk0Boifb0zsTcTj2+8Ufv+8J+auopmqV2dCk+z3+ - 1aOwHx8LtDr2FxpuhiwlZ+R/5Un1EVn4oHarg3L2IG2Ump4wVOFgBaoHDWk/hMkkTYegT3Oodu/G - m/OrkF9DnaGnkzv46DPQxruZuQhEP6Wz/0r7/qW28o2ylB7l4J2+ukHVwYheBnW+mhmuxmwrgf08 - bbDaHMWqnfNykDWbEb6GvcY2YqQj/owqbGrHdzcZ1S6HBi048dWNqa3zL+7Rg5Ye3h+XoUMHb9Bh - eQ/e+Ihu1/Tnd+SV8QkIM9NEy6Xr0vjpB29VrIVqelxv8Y/vvA0QrRtKvSWw8R7On3pldJcr0q/f - M/d/K0KeSf7rXxLpGW27Yf7/6DMFAjVeQxSK99L8ol8+Yc79xdaaRAMG8tCplz7sin8OG3/VV4n4 - 40/Unz/S5tf/wFZiDdqoRXoA50d5wK7jl4iIW8FH7VpTqSkSEbEm1yWY1qaK/etiE/bqWf8CHoyC - DHc3dNg93b1BXKYV/uXx07W2CQB1LrNeqUL+08PZxnDpr//D4pzP+ZPrY80KLcQoxwLat/ELh5nT - hXT23/KvPp1q5XY8WI6uLGDj5f3xT0syxXIdrJbeuIcLYpc08tbmce0RwVY7/v71wy1fKanbdCoS - Zr2LtpeUUntqGm3U2beEl5eE1LLecTjNfAq/PM/U2WaO7PUcNim/ks1xP/IxzjQf/OtpRxpUi904 - nMGELJmUme9stP75gbBQG+y6PEJTlj8ZdD7vqbJxmqr5TJ0C23Ghe4Lk3bTpmbAAljeqe5DdR43N - eSia82VqGmXTtdLUSejv36mA//zHX3/9n98Jg/f3nr/mgwFDPg7//K+jAv9M7sk/BUH8JxX/nEQg - fVLkf//r34cQ/m6677sZ/u/wrfNP//e//pL+nDb4e/gOyeu/3f7H/K7//Mf/AwAA//8DAHICMqHh - IAAA + H4sIAAAAAAAAA1SWS9OyurKA5/tXvPVNPVUCCmnWjJvcTVC84BnJRRRE5ZIA2X/+lO9adXbtSQad + nnQ6/Tz973/9/Px5p1WRDX/++vnzfPTDn//5xvLrcP3z18///uvn5+fn37/nf2UWTVrk+eNV/qb/ + Xj5eeTH9+etH+P/If5L++vlzJFZE9BQtu8+JX0JYFK3IQqisVOinzwGobWiMjLbVzUTd9zAqhzPz + verWcbURIjjrnxADfm4QF7N3AwdUUmbcMs8UzBNYyMLGhAUNrRC9V8xHaFt4BEvPVzf75HqFy+1U + M0daD3F/knQNTJdxZvobq+LZLC2ArQOLhLhwg+m2bR9w17cZw6ebkPYVVBjkQ6hT4fJsU1o4sYTK + 2Hww+7hTYxbr7x6UZ34mgX8v0fv5PO5B2jsJXpH8HPRGtR/RQ30RysEv+ZyJdAQjGQ1823VWdcea + 0ai0xHc6FcMrGH0ENZKHRUvCHe8CfjAjF6UfoybbPIzNKV2fGniCfyL2eL6mnza3HoDPxw5Lg7GK + pxo9BNhtMkQ0N70GvMHLHtWec8Qy7e+c709SBB/9lDHDzHnHy442SP1MlHnCaVd9hIcbytvbxcFi + O5rpCjv6G67lC+FPVsh85nm5UEHap/itmDKan2tkoLJtcjo16FGN+r07wOW4EensyYtg1hplgZ47 + U8YDkxI+Ps+OC+YQmMzZum3VrhNXg2rjB8w6Fn3VnW9dgXIL7nSyRZK21jD2oOE2IGGnycHomFsD + oiLZkD23n/HUl9VVDZSG0DsxfTT6vj8qurodSHDZ110vsNMJstf7SOx2aKspWVKA6CpUWLExVByF + SYLo+E6YbossnUJFwCArwpLOVWVzEfp0DUReiJSnKqnGk+QZUIbClXjnweiEqOsTWJ8Mh23r+8nk + 3kWP0DStLIIDkcZzvqmvyDtOM7G3e92UKjFz4bA7YEbk8WCyXlw3kJXVjng7gaNxM90A3lVzIWHd + 9d1U33ANG+PCmWmMekW3MpdASfsBj/jwRiOx7hKIlVwQnKAC8VKGXhGvdUcuh2gRc33eRSCi7MLs + 7f5uDvWQUbCezovYB6ojSR6FDAz3FFBF63wukI8AoLhewJxsbtBkyecEJmHBmL67HdMWtkRYt9HV + wkJNoniuV2aNJgf3JPCYHUwn/xRBMc0h06q7hPqOTWug8SHE6mgduunczI+lVSg3tqGbJh5bSBr4 + bEeZOE/NiFfaYVPDbfYEYoTds+PNp3+ggzftyXa0hGpa44sP70Se8TKfFtXQRYMEj2hnMW8kMZ/2 + bW9Aq/aEaIfVLpjPcyJA52Qy2xYrO67z8ebCTjkYJCtrzKersKKw9bDGMN4lfDw2ZgEjJzHBD2OP + nkKs2PCIE0Z25ssP5r2VPODg8T3RzosknUlQrlVqaxr91L0Ys2vzCSEei5IF5evVzfCpbfR6L3SK + atE0xyCJ1ir5lAum6fY5GEiyNJTfeeFe/OGzqw4HMJ7tGQu8i7hQL65vCHcEM39a0ZRl6bSAILwe + iVPKVjdX5uMEn5d6/X3fiisM7H/6ZzyNdDL2mQRt4x3w9BBqTleoo+jxSly6Csls0qy4z1BwVcFc + SVg1jKFwAmznKjPUsYtrbMwJms5txTza62hoHkMGNwObFO65kwpSzWx0cfiHWJkyxPSQhwCboYxI + vDbNgL/LmkLf2iYLCvEUz4IBLspT7818xxGDSZfLAwiWKLEAzioa++lzAvtpqMS55BWf6f2aoR1U + I5U7d1nxxVZaQ7RdYIYFRYjHPOQF+Bin7Je/zO1ZAgiFIQuE5F6NTD9pKHziFzG66ZGOj354Q7NB + Gpb5KQ3mE5VB2TQrk4Tro4vmg/zB8DZoRwU+065zq/UD4VbeYqpfanNa45379zz4t/UznQ5MOYEQ + VCaes+nWjdMurtHewWdG8qmoOpqhEF231ov46J4jesitBZR5tGOXkXA0ZoFlwCyfR+acu33VZ5e9 + C+pwjJjNhpLT3/9gnswlnjNcB1z3ihO8tCWh1aukAX0t9AOSF8mdeJ17q771LNAZdhXTY//dTZWM + rgC7VcA0sbzx8fhSFIgxM5k+FD4fkKPN8PSlic7zwe8GyZ/3qt+VLxaK7TKYV6iiarVxA7qoBjsY + x3yOICPdgwSFKKVshmcC1pmnxNOTjFOTDBoqr25DCq0MuvnFEEZh/umI8eXpOFmgIPtd39jvfDK3 + f11hpcX7r2+qlE3VGiCqX1uirxTRnKO5K1BwoXdiePLCHJDjjrDgts1wNdgml135gY69FBNvP4Sx + 2G8WtZIvmzXzXdlO//bFee+YBB/NMp6+9cFrjgRizoD5YB15D9oz9kl4z18xF/A+g4diDswzdmJ6 + fwZlhqbzuyLOtF6ZPGF3A9x13rCNedwGkmprV1Q3lzvxiqhF1IoDBdLjzSC2/zrHs7qaMbyFzCHH + 8coD2uxeJcp1SSL2I5liKq4tCfpVQr58aYNR2w2j8vUrsZaYpNPHiiz1619m4vCRjs8JLeCYCArT + PtcNn3KkFuDq14mE77lNB+niXlH4Puwp714BF46vWVGeDrNpJyOeTrI+F4CFz4po9vKJ5mo3FnA8 + 7hK2Xe/HgA+rtwGRaFpM45YYz/lDa+HpCxPlg6/yXppFrBhd+qKLW/OOmVQkGvDrtiC4Q3on7TT5 + DUWpFMREO9cclCtVQNQkg6paa5jjnpl79NqlNgkZPlRj+FiF8BKlE6aqS1BL17cCre6BxlxEB3NC + ZNXCtx5yMJogmKM6P6yvaH+nnJpSyhfbhYJofAqJbpZ9PK7fG0C7B3comIaT8gj2J/XLI2aT19B9 + ciRmqBSODnPGSkM039TJ3z725XBKJ7+MDurVW8DXH1MwLi8DhqD1E/oIOhaM2FASdRBrj3191PX+ + 6ZNB1ykeMe+vZfx+b5ICPL5ZUATnHI3n1ViAp841CUXH7KZ417Tw9SUeipWdzvFKHtGvryzf6BAP + nmcDzo2V0X4xxQFNBC2CmNcBXWZHv/rlpfLb7995n078gpG4UlZ40UY0HeW8oKj2NkdinqWJU2Y/ + W/jyiy4NReP8qJ9n2OTWhXx9HvOFJAuIr6qW2JLXxVyB/QzazTJYcW325ugPTQF+ao9so74tPq4v + SwEFRtDQpU0qPorB3CLjUfZsU6VlyvdLOUQlRxHZHjbLf/gvVqigiqfVAT3RCeSr1vqUc7PvOu/i + 7dG2WZh0BQ81GAeezIhIacw2W1vp+sPcushO3DcLO+0SjIezeoJDfIe/992x3FQ2OC8cEfJcXoOx + yCYN4CnVRMsXT5Ob4ujDzjNy4sP1VPEslRfoBklFuxulfFowZYalluxZji6rmOPNPlT56QNkO7xb + 83c/hqDSD1+euhX98hACpSZk42Q+koZh8qEd9sk/+xuvtAYSJ9FZJJZLxJbre6SmAU1IKFXnalo/ + Tz5Ed71j4WPOqymrdEN9Oe+Mvros7FoahwdkWx4hDlqbX37yEDYa3jC/TbedWJILwBTdb+xoZEI1 + iX1Twn6SGNtG27LrVquwQNr8PDH9dtPRGARzCPuLCMT1Rsr5oBULMLrLi2mBbXYr1Ywa9Ch7hFU5 + eFdTv5EaOEuPGEetJKPxqRkuPOH/AAAA//9MmlvPgsyyre/nr5j5bs2MiEgX6045KALSCB6TlRVA + 5Khy6m7oZP33HXh3dvYlcoGBrhpjPFXliSwAr6PBdTJf2bo/m/qfodP40eImBKr3oUFkC3y4FkGD + upveYHuhDjZTr84PBdiU8V++O5mqChbVj4SVIS7Yr2lLsNk9xdtbXkbd8osuILCHTY1mndkjnLAo + v3JS0sNtlO3PpQ10uH3lHNuBf+dMeJwvs18j62eZzf7QhDLTTXw7Qxj9jCXZA7+1QA9bPkTsIIgC + xEfZx/YCHVv+6+0QvVVHwyaQoiDHneMh58IYPQYfHTHiGD6cd+iJdxiKqLFU1EG0e9f09HK4NuXL + x+bjD1ea5OqIusWWMXR4txcCh2OlMWO4A3B0cMjmJlg2wXYqw/tQxO7ae53aYZfwdP5eePfsPcTy + 43GBMnFfEOVcC+3gfQ0LkPKUScFIajdfOMvK3c9l7H6OXsE+vA3hvQSDGqNTajRXohI8RM6k5CMp + +PIlxDD7rW3sXLQxK74WrJsdottzTrQ+PMdbED/7AbtF/7HZ2dwSeBy/FGuGQQISJ/UIyVZl1CxF + G7Wd7TpItbIN1uPdBQ1kfIRItYoNYVRk2pRfP6iK/B+1s3SrcfdwbKAemx1ZWhtFK8lq68INbyg+ + DqYT8FIIGMpxdKWO7amou7/sBk351N1sbl8+ppbcwVQ/ZPFVa43bvDLhRIWFW8TKx2Zi+dWRsjZk + vA+t1eyfbzD5DXcpnNRoHYVWinDqOthaON+CfCl3UX04dC6QK2j9xtuWqD8Ie3x/tLU98PQxQqld + DGzFTRoNZR938NXTgUbrz74dcp8JaP0VTvTB06FljwTt5f1GveFDeTjy8ZoWAvRZyUhen8R21ktk + EgJ0N1RmwdQhlWRFbmNsTf2Q8XYdg/DOY7cj19hm4qnR4ePzKzam+qZ/fGJ4r0mulsimsKtNxLMx + pOpl+2t7zAsB6PBaU4vkdtBvt18R5UqFqXleNBHP6ClBj5WlY8OLXu1cb0gdocC6l9yi7qEmAjIv + EJCF9h3RYAVDoyyRWmN3qIaItMuvCGJ8OdBdq6YBNeVVDvp9iIjyCb428U7eTZn6CYFlYxfrX1p2 + cM9hwHt/5SPurC4fsGFQqP2DFLHL2FjgtX5IjcnvEe2FTDim8ZNI0/laN1clgfCVJ2TrR5+WphuB + KLO/2u/EbfT3vpaZtyW1jLcR341PT57yDxmiR2nTEps/lOUHy71o76IoX4vehylvuvJY1zbPjvJt + vk+iob/z+XvAd2mbcz9BZOo36NZjhHF0FewhCrQY9ud3hNXH4RMMrVcJ6PaVcnqX9347hNpJRlkk + q0Rc3VlLN0Rv/vJCPeXvroDWhdWJ3Ki7Tdu2M7MHQbvmY+KtH+2LmlZDN+dRaqfECOg11j/IXIk7 + koL/jZjcliI0652KD4V71ia/I6E/PhZKVGuSa72AW1jeiIyvXsvXQTrCuv++yEa39GitfXNV2e0t + yVUmfRhyXxJQ4HcvfMoXpc2L09MFNp1SNj1vOMdXCaRko9LnW62KYns5lZA6YkjE8pxGo0v1Eq2E + wcHaOasCbnbfB+BrVuFfLebasFhsJdgvhg9+DfTA8+QQCZB7gY7dA/Fafu83JST9OGItUmjRzXlP + qGhJDRAtbXRR4YF7/kTUsItfO6Sf2wLGwqpJaysXNGZObkH8ba7u+ihXEXMG4yarOquxIfxIwQ7C + QkDZWOyIXNZxwZ5pnoOcbVbUZsIyGsakvsDjgxDBC9YElCZNg+7XX+XKUVPzeuOZ5ZzfMZZzF42v + Zpmi18ff091LIMXgd0GCToz02Oz1Q/Tnp2RXfGDnaRJtmPqpPOklPYbowMXfkP+UDK24O6plpFFu + oRIeZLv8q59R15VR/t2IjvXhlWtTv07kKf9hT3w+Ar6IT1uozyyg1/clb6lZsBxWw6kh6KzXGq2J + LG6mPIUNY7gXXIvsC1rK5YhdRbaKkRZHCZbFi8z1E4ymUt2gblOg9kYN0biSHHEzAvLp7oPydj4J + 8D00MbZf8OKj/yR79PQTj2z0fsn7nqULdM6Hgyue/MzuH78MoB3qEOv9rQz407ym4KK7jlWWP9vR + PQ4JiPLeIoKL9IB/9qYIE1/E1q7UorHepT5Uw+aL3XWS2vzbBgskGieN7jwtCwZaDQQUuY6peXZo + O7SblKGOCz3VfqnesnHfXZDtPK70oUYtYhYSPjDpkyutnmnRvb4/HxbtckcnPqUNAxdlJFfvOzWf + oW3z82LHoE5chg9drNlCQ9QEPsc4x7HfaS2pDkcXqoeluGzST1ZVVw/N/v8anUrUDe+MAHnUFcbL + 3LCF79ry4ZuJCuG79dHmI3n7EDPFdJc7fGrZQTNUZO1uB1eMtZKPSyKH4FxGRvF0fwBTcuBwG5/Y + se5WMBw1QVcCQzCxH2ysoj0E4wKIGifkEToGQoZ30RUpl2Osw8G0x0c1WpAGu5zqYZLz8c7qUI7l + s0w1rnUFr76KDn1l+XTO71P+cuG390/uJkuY9gOGTIiVdewCKno++d8SqHZWJv+6LppXIKcIkvPP + XZ+xGTFTunZydpBqqm7qU7FS+2ODJn9OMTmtWmbEaogq9xHQY+Fl2lBd7hck61VNBjA9RNqTqM7X + 9BCNXsC+IdmCt7UVd1NVJ05JzB0o/fWS7u7nfUQITUsItz8L+2A8tL6/OAQ1RvDBTloS3l/2ywfy + n2sgqzw/8NH+uQJoWhhi7RDK/I8/7ULrTKRrcIq4zXsLqkS03OGbLLTejIcEpn7uiqbf8N6RwZEn + 3kn3K2/kg5MeQlh+dx7VDmHIycdkDYhi+sM2E94BL8byBivLFPBRPV+j4WVeXBDeaUz3m8QNVrTa + dGjifdg+iQXi6/j+g09qZHSX9AebV6LtAos/F6qz8lhwz0pzZeLBroRIb/Pkd+igyJP7zGM0AtEL + 0PR9ybq7VhE/rXVVXmb+dvZTfKo3AWlmz3F0pB+N/YxHDNB+BXfVrDONm9fmARM/p/qzagJGY1WA + M2TsL783birGaOahO6w1iF220gVuC6Om9hesQLRURJAe3RSKo+tF+7t/fzoHsubNzxYfsDb/9HQ/ + vc+ajN4D5LeHcQxFGTBQngJ8ilrDMz8Xiruno0InFzr5Yc74LZPAbI8h1kIfon51rVM09Ru6z9/Y + Fig/CBAeM2Pqn6rN/aHdo2MniRR723M0OEcrnP0EVdFly3tfkq25HrB2/RX2r11sVUW0JY8aurS0 + OWl3N2XSLzr5r5bfA4ehfvU5ulR/jYgd960sP6NBnfJDXbAiW4TwMlPNJZM/HerTfjHPf/CpCkkx + HDXYw4SSqfVc3gpOtZUISRlvCdLoJmDkV+fgCu0azzxrVHeJDAWRBIyDg9SOEF0BNq+UUzvw13xE + QnBBUx4l626ZtGPUmolcvnSCDVFUIo7NYa98T88O72/A2vFNbg+4XoMHnf1Nr18RASsLJBccfuFj + 2ZTyPI+i+/M0VzAD9QP3ZHmn+p0/tR/WMwHuy5VB//zcDffyzGsIXMz7fC3ByV5XrrTUmD0gafwA + UeWr+x2ku9YnjzODr6kH+J5uypbP+pUi9UIeR+YiYcyeJrwvqx9ZhwfFZrfFWpr5LxEn/jnU0WsP + /m9vkDzY+ja/xk6JuCd32N3sfG1kt9YFGgoS1aQ+DsZsUPzN0VNz7NRtztl4kWN5RUqdRrYeR8Pa + yTp45V1JJ7/QsmBpCnDJmEFfTMTB0BmLv7zvCkmVFmOxii2oI8PAcz0KxvBeoNWpu9FA6uOIXJH3 + U0bVQ2ThgdquDturC1G9LekZQxH0R191oSbNlzCFRFHvd1ECxe5TuxO/Cvg90BnK7MTGJ4+BNrzM + 2EEgehGd8lfUdZXaKE/KInpS/E9Utb2qw/5S7an908xgNcQbGazsLGG1PolFM/FyUDSLEb4GQ2OS + eNERzy4FNrXTpx33xS6BGi048VTJ1NbJD3foTXMXG6dlYNPe7XVYvvwPPqHnPZrzjrLaf33CzCjU + Evm+3M/+wV2la6EY3/fnY9Y7VwKitX2uNwQk923/1Suju2Qrz/Oeaf5bEJKFyTy/JHJ22bT99P/R + d/QFuq/6SyC+cvOHZj5hTvPF5jiKe+jJW6du9LYK/j1I3qorQnHWT9Rdv7I0zz/wMTz22qBddB+u + 7/yAHdvLERE3goeataZSUyQiYnWiyzCuTRV794UUdOpV/wHu9ynpX05gs1e0+4C4jAo88/jxXloE + gNq3ya8UAZ/9cCztHTrPf9gj4RN/cjysHYMjYpRjARnNo8JBbLcBnfK3MtenXayclvvLwVEEvK/c + v/y0JONDKf3V0h0MuCF2iy7u2jytXSJYass/8zz86G1z6tStioTJ76LNLaLUGutaG3T2y6Fyw4Ae + j59HME56CjPPM3UmTcheT0CK+J1IJ2PgwyPWPPDu5x2pUSm2Q38FE+Jw3E56Z6H1nAeCVK2x4/AL + GuMkY9B6vKNbya6L+ju2W9gMC90VZPepjVnIfFg+qe5C/Bo0NvFQNPFlau7zum3ksZXRP/NWwP/+ + 69///u95w+DzeyXVtBjQJ0P/n/+3KvCf8BX+RxDE/1DxbxOBdGGa/PNf/3cJ4Z+6/X3q/n/6X5l8 + u3/+69/y37bBP/2vD6v/7+d/Tc/633/9HwAAAP//AwByAjKh4SAAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c69718700a63-AMS + - 7c965f698a1f1ca2-AMS Connection: - keep-alive Content-Encoding: @@ -1027,7 +1025,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:17 GMT + - Thu, 18 May 2023 19:05:37 GMT Server: - cloudflare access-control-allow-origin: @@ -1037,7 +1035,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '299' + - '238' openai-version: - '2020-10-01' strict-transport-security: @@ -1049,12 +1047,12 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 340a5926dddcd467075606cefa115ece + - 14c4b848bda80d181e2abb63a4749e4d status: code: 200 message: OK - request: - body: '{"input": "A question asking for someone''s favorite color.", "model": + body: '{"input": "a question asking for someone''s favorite color.", "model": "text-embedding-ada-002", "encoding_format": "base64"}' headers: Accept: @@ -1072,120 +1070,120 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1R6WQ+yXLPl/fcr3ry39BcZhF28d8wOCBtl0k6nw+SADArszXBy/nsHn5PT3Tcm - IlGpXbVqrVX1H//666+/27QssuHvf/76u3r1w9//Y72WJ0Py9z9//c9//fXXX3/9x+/1/7uzqNMi - z1/N43f778NXkxfT3//8xf73lf970z9//e2fwwQrJ+Xpvzm9biE9dz01ncM7HSfaGaDB60TNON+m - s/3pvkDOjkIkYI5+f1fbBMLkvnPncD/aXXPzX7C909pFvK0vHNeZb0iXi4l3/LdAi39ADNKhyLHB - KHU3H+6frfQOkpoqA17K9tA1J/hE7wsN6OWkTyJ6SGBcTyY+bA6HcpLZzxGVmRjRIzDHlDUrM4J3 - UbJuie3Rfi9VckUMz8fUwZG5EO5hnSDy2zd2HbvuRlp9AiTJ7I60xg53U/6qZvTkEo2qdxMvi953 - I9yvG0JQo1n2/PTIFzg5aPEhmhI0ilDzcCk0gg+O76SZGs9fMLzPDqt8evbnnKoFNFDXWDPfWCdh - HxGg4qNwxerO+dM5e45Qps4BG/JR0edJ2LpoHrce1vum0udzxbJSch5SbLCjiGZBmk9oDHKgSpUv - ei8T/oKeadC4F4PsO6GxxS0knKYSvhJ1neMmJoEt2ycuZ1DGHp+GGAHjHWJ8vO9mfTIfzAjr79FD - fHt0Uz7iqxSfpRYfMoH4y8Zpt3C48As98E+tG/XUfsP+7IbUiJ+NP6zxgjTkPbJ5ayEiAj4R6ZTX - DD4N9wEt8lmZ5ZcXPvB5jcdEW72WD+djTepi9+pmRypchK5L5fa5aaVTmCU8FIzmYY17pstiF28P - TkG8uMAqRinszrc3aHF5o9pu+0STiFoJHjGeyRQ2ms/nrdfKV7l+uGPGnfQxbBIXPpcbwUpNAE3V - C2/hHU+Ki067vT0u8TgjO9pRbL7v5jKmk6lBFemGOwqhtXChUBggoJdMzXDq0iceugs6B8IF79+P - NKWfkdmCeDlifMxT06b51PXgXq8iaUzV1Emq2Bqw8jUmiyPV6Si3ZoE0duNim1m+aFTFuodjLHRY - eTd9OauZsAc+QL27CYM0pWFCXsCdGxU7liXai/A5KqBumNCV2Xi7zDmUBup9raMHWu27xT5rLYAU - YBoLF6Mcm35U4Hi2BFfIHUenJj+8+KdUfLAZoDcaHDNspbJoSrduqlEfBque0UtQHtjsz1Y6+672 - 2rQS/6V69Br8YT0fJNy0Jz5EkVCO8bfbwxEdzxi/c9Emn9PjDTjRY/dR+2I5h31BgIK0peq7zMte - 5hoL9LvWUm1z6hY6vYQEkqxd8D54CvYk43cGn+vlTrUm3dnD7TM8YIMEjBXTaPx5s3QvoFeC6d5K - NV/4fF0Lsst1h7X6yti0YmiBKu5g4UC4Y9Qf4FbAeJkoVjavY9nb2+ktG163c2X5pPlCfBgU6M6J - Qy3Mdul8WCAAb2w/VOeRqLec8zBkhR9FV7hDqX8+Tv1AjiQb1OVPok9kmT0B2hSVO+880MeBzgo0 - Hr8hQt1J3cd88DN8btDjQ2XMdp/fLgQUzxSpXnnNsuKd9Kt/qsSz2k1LkmqQhqyH98ZrRh81ySTU - SNsb6Xc8p7fniNlK54ToWGsUHQ1P95TAFuUuPfGvqz453yRAS7RYVLO47VKplpbJe+Z7IGytbdJp - 8/Uyqbp8v9hik1RfzhRvoc0TDh9q+dktU2a90RCFEVWskfXnSuMNFPizRg9GZ6WznR01cNPJp0oT - aR1/37AaqBsI8YEeK38R3Z2BJJnfUcvQbJ2XL1YP0TzWtOCmSJ9z6CyAWP9QQ65Kf76/tyNIbA1U - H/KunIY589A7ExpyO+UWEn71JHmJ7z6a6NX1T2af/eKHHaIbXf/DM3IRHaw4587uUNB+EZNalGzq - yUZjs0MBrPlKtWoXpFPVHyKgsN0SJr5L3Xj2LANBGGf00POXbjEDsdiO4cUiiK8b/bu5thf4ps2R - OvfRSfnKuxPUXgOXxkFV613uxzzY19qienxdlkHXXm+ZOXNvVyrOdjeV9OPCvhhkarJ6jRaH333h - xQU+3t+1oRxS+5jAQ3pcV/x/2P1H/tZwLoycesz5scx+gCKQNo+ApkHQLcNOS78gbI8lmfnNXh+6 - 55PIdjwBWfgHh0ZaPSPZG78fMjdKiaZzOAKY12OE9/wV673QgYeOeZ/hyGWMZTnQYUTFxfvgVJaN - dNbNE4tqJnhhx0VaN545bQZlud6pkb0n1NgxylCUpFeXs5yjT88US1Kf3nusCUnnj7K/aNAwlwUf - rHjxBzHPFYn38f1PPS1i9T2C5WsK1jhrW84T89QgiesT3b8RU+Zoq2ryrph6vNtIdjmI7NaCMuYp - 3vUTscmT6yJ0lU4WVuWZlMt5vj5gThxM92yv6cuzREfU3TgXmzsx9pf4UGkwns0X3WP9kAqqbQHQ - WNPw0WiEdJBxX4DjJ6q7catyGZG+L8BMHyPOzEDteqQrGZyvuMfGyj+GTzcnUGSpgBVhPNrLgY/e - QJiWxUrQtulin48tgN9hasnfBn0PrvAF83KuqBIW7jJ95s4FxrNjrJj3Y0c+TcnCLIZnrLO3qpye - H/xFJ6QsRIKysaebgPeoFTIP23ev6pZPuHyRmnWUmoO8pMvZ6jRwr4lI3Yw25RSO1QWM2/ZCptjH - /lTtjBZVt1tB9yCaaFBJEyBLcD/4GKoFmm8F2SM2nRiMQ1p0dPgIR7AC4tADV4jlQkePQJfjFhth - Gy8TmrwTcNuLig0itIje/X0NRzEz6IXftPr8STQXzuh1wTrUH7/e9FIvrfVEVXbHdEvFNAXyz3GC - TYMy+tS1yQM9t3NGcaBP3dC1yQtc4YGoW7fbdNicTm/UFYhzN5gfyuHwaFi4wyWgbvRh7VFunQyk - +LDDFr7t7R/fkkUv07By4ndoqb65Iq/8yxUa/5EODa8bkGXPkO7W+p2Wp82De/6a+GB4pT5vro8L - nMSodvn79ZQONPkwKLsj6nYbl6z9s3pJos9n2IiKwu9s/alJt82JcSdTuabLc+u8pSKhX7JYzMnv - dwl8Ib52metwzt0fq8tJQVmBX3g3nKZ0QozIg1ccT/jEpg2ahcGrZSEQZMLwTVZOP/7mzkWA3UBu - 9DZH7ijpN1vAuoF5vz+8mQQpt9j48RN/4N7ZDNdrNRAhmz/ocyi3BeoKkVv7y7McV34uba8wU3sn - GTZ1+F2LjEv8+/6dzVeNNKORt0KybfA5nRectgBXypPGzPbpJB6Ob3RK3DdV7hsz5Z5prUlrPq35 - 6Kdjda++6BU8DHcQnrM933o8AxEkBWvRTVymqvIesFkSF++y2OqmZ8CdkHgVdYwrVPnLIfi+pKu3 - 73HMY9RRsZgimD1DpXoufsuxWVoeuqhg6WkTqyWfiskevty3IjAYx3LkgqsEW3FSqbP290H+UoJW - vohxIG7t8XOPeqkVCg9rxaLY0/LU+T/6RnW459IPr+sVUj8W8b5mXZtOtaLJkj8O7pd4FJHKf0Sy - EsLXfZlvbC/qeTMCN1LdZRzbKgc5yj1QLm/P/VTGxeaa9pPBY/Pe0DOfTv4oO8fTH35m7opAX4S0 - vSLkRW+6z6NHt9xOHEhGWt+xwt8f/nRTla98DO5navH+sWOHIxchkY+22KrOub/kGzOCONN5wr6n - sPvDBwG0zOW5/G0vZvq6gBl2G2oWt4s/2I16BT+g7K/eSmKqbwbxzMZyWUwtNOwORoYGWYswZnZO - utw2wQW0/HokAkWNT81AzOARlhU+8XLq92s+g7Xd8tRiHm463sugAIK8hCoRvZajvXkliMQyi62V - X07ptVd+/Arv86lcPs5F8CCbHgecRJLrVx8x037PQ02O+mg0O/6I+GIvYAvYZ7pMy/OL7Pw7uEuu - G/pEn8kIm1u0/OJpD2fTImgYkwkfTtuvTlGLDNiPUUzNRtgsS24yJ6QHpkczXk7T3iGPLSipeqa6 - OWglq54PLCLANC5f00M5hIwlAUruMz7mfJsS+fMc0S9/ME6/6WxKrAVBmGHCR/tNN3VUjyAIC+yO - 7u5cTl2gWHJanM/YFbQN6uNcfcEaD/Lj7/3nOmyhiGOPjD07+vPTq78iHsmVKqf0XQ6LpbxR5F2O - 9BR4Gerx+3qCKn9rON1dGP9zewFBzt3JsH3v9mjMh+oIh1hM6K7xH/7byfkWnS5djc1NUqLl1h1Y - lCRMveabUnLPQHbR2q+IXPc7nzi28kL6JdWJUHuxP380ekS/ev2d9yywaoKcaE6pzQ5x97ntpgL2 - kQeErwPL//UTuMj70RXinVjO1VMFKHzg3S3WP36/FM83HCLH+enZZRQ5XoNn5CmuXJ8Nm212KELd - +MDYbFTRp1PmvtEVST6ZmoFHL/GzJXBLlRBHQTZ3c9qNLxAn74yNGj/Rqs/bP/yp2D34lN4bXwFl - Se5ECuxtuji04FFwPnfuuPoLlKtEA638nurD1l1m+TUCYuTGpmaAjIX9jHsGxuAOeMWTlJ3SawtK - yHzxMfy8u0XsE0DyrThjJzJlv+sY9SJXo3HHGHi9JDhFBjJELSBMNZ/RN+Sve9gJe4nwu5ORtudD - eAEu6lpSBp8c0anea8hjdR3ruf62l0pgWmnKuys9xuHU0fIirhmdEGrv7griDr7r/uHDP/3Td/3H - Ari9lFWPcwvZCZkLx3vywTth2KG5meAFRvq+YwMHeikIcpDB6fqI8R6LFM2hLvJo1UsU50TtFpSe - M3S8PbfkQfe6vVT7FpAlNToRM8FNuanLXpDFGXFR/1jQcg5OX+BQm+LTZjbQcnZSFriEPVHH9C7d - rH8PD6gi1aBaLFj6fJ8vCXp4BUMycPY+vXUqD0X40V3OCKSlN8X7jDxUq/RUTL4/Pusqkbhx0MnE - 82z3Fe/CBYyQEnzktTFdVHnw0CZua2ybNtHn8PhqUXX3ML0R+rKXSUoKgGybYOv0vdjTjhUZ1Kd5 - 7079SylHs3KiH7+jPz3UO6C9xNrbEny426o+cdvmBG5+fxCR03n/5x+AKX1nUvanJxoqhysAZYcN - GerzW5/wQ/1CfYupe8+JWvbm8WjBLgo6F8X6E6347KEDUydkKYIBjVM7X2Tv6qdkeC8xmlNr4cG+ - 0BArTG/YfM5JF9Cn0nSlhor2lO9eD7RBHKa+O56W0d+mPZRSbLsM++jTJZzVN3yE5Ol+K6cqZ2cZ - rj/9hh9xtdFHodIzkM+ij9NI2aKVfz2gvdxzbBvhrpu5WlD+1At7qpyOcunmK63xoiv++Z2oVNkf - /HdjSUbzWdpd4HBrGupwXGVPuSIStMbLfbybvqNnJ+WRMmrmH/60DHvbkNqUtGQWEtsfhSL5otv1 - yVD1PSo6jZ+KAXHxcOjxXW0Q0U2DB9lvHi7LLS80O/cLwK8/FHfxgZbQMbaAEzWme1KTkkwDM6Lr - mRexGvs4XTpG9aRok9j4aGpJOfvKQwLv/GqoTb+OLqznISf+rcWYzXJ/XPU2lNzl7SIrE9DqJ51+ - fIJwcb71p8rhMtgXVMYmW3z1xUy/3p/8Vok7dD99i6Z7WLkQkoM+U+QZKJrnGh9ldlxoedqzSI5H - g/Bx3S0j7ZM9rPmAd+59XvnOgwc+GXPsFMYjndSGeaDX0lo03hiVPaslZZBzLVqsB598WfXzBeRI - lgj0nyb96Jwigc8HDnUjd0RN3Gy3f/xGLJ+tRbBhu0fBLBnY2R00m7c/5RdZC4vdYePPJaH4VcP9 - 4kp4T2zb71f+CaufihVaWun6fDMa8m3glgH/8MfK+CZoe76xzpzdh3RST8sFOoZVaWTkbvr86bk1 - H+iK7+kyqMkFfYvNm2yGwVymLthbsA3rK/39PxLPo4eU+CtQ3cCRP1N0NdBwr5/4wIOJfnwV3kym - 4Hi353yqvr4aUKYx3ZqAk35lozLQNLcnmr59zyahrDCw5hdWhLBGc95ev4DvO8blTuRpTzq5WpAF - VkBGXiq77iweAnEU5hcRo0lapqZ9FtDcj9Oq5y002lbqweS/jj89tdTCPt3C73wtGRvd/EH8BTap - rrgyKXYImRR6sJH1wrtdue2+8mvLwCO9Rlh1PVOfymP/QI3onlb9c/XnW8wFYI+HI2EZxeqEj0AJ - iuUWU8zdLX+ijhKJq5/nQs0I+uQIaIU3T8Z719GW6TZGAfrkoYWdaCh1mr+PBsjpsaDO0Ko+dxuL - QAqzQ0A1wzfTSc4tC1Z94bJM+lkm9WkS5AVI/fkl5bD6X3BJ2mDt12991K1pLxvxDbnICHfluBSf - NzQhqunq7y+9TBgP4ZS+sWXkZPU/nQJmz1KxC5cT6ld/HqyCS10+ru2ln3T5Devzr/jA+KtfHaBr - iH33sfq3faNqL/nEMSdsF5yWLjh+v/7g4dk4TqinyxFQm2gptS01KOcyFzV4XNGGmoLz0BfMjVd4 - xVLh8tH+Xs6CJLlQZdMWO8LKHFO5JchhTx51uERdePm6eaA5FTOssR2X9gevAxhzuqMWTwY0c5d3 - DT+/7E/9/fQXhGFG2nBTpmO33LZwld//le+fg9nXqOSZiYghCtLlTnQe+czkUm3X3dPe1M8enO5n - GycMZvXhUI7Zr9/jXcjTZWlM1YBkm6QEWSpb/uYXAKnrYJu3y6U/cG2LygxF+OgOx44XL2H786dJ - Z4zHhT0c0BFEn83oyTq29uunn/TbQXAnarA2m0aHES1yYeEDbh76XHHZFUAmH7wLlY8/i3bPQj5l - CRl4b++ztE+OKEu4Pd1VXKDPg/lgtwgMG6u1ekD9mdNGtPrXdB9xB8Se0fIG7hpyhOOPsd3LjnaC - Z8w4ZPPOb3p/e1wKOU+W26oftmU/6dwbbpEwuTOZDX+sht0Fupvgkra+fdHqjxxhl+/u9OCQsZvL - LXtBYWYH2F7nNXzsoBpxc+qRb11Qn1Skq2Hlryt+VMuM7q0GDLc/4jN3bMpZvIRf2N9fO3pyLM1e - 9VkC63yF/uYznJAYlrybLR9rweXQDSu+ylLyfOLjqg/HkF1YcKIxJe/6W+lk0889MuIUuW/rnthT - o79HmOd3Tj4mjPZodswRfv3GzY9fNJYuMn79d9Ujr25EulLIHVfzhGvUW1qrZcP88I0wbualo+48 - Ac6ye1/nISoaG/X4+NUXdS3cd6M51wygzN4Q1rh+lnbgvywcQFr5dxh1i2q7zJ/52s6o1eXnB//q - DZ9iTkznvPW+UHh1Rt0qdjtuI0gGiPdOcInBaIhFB9H7+VtkXPXKqOqti9SpLakh3CkazAc/oq8Q - zXjPVDMaPnPpwn4hE93VnVSOuqJEqAyykIxZ0i7jb97YpWVKzTDa2+PHPnmIzCqmljU97QXrF+OP - XrPqoPbJM3lYsripdbKsfsg8+FoBXPa4YadykT6u/giE/InSS7j37EU1oj3kWV7TlR/a87171rD2 - Lxo77n4Zn5eEgTt4AWFY86DP4n1z+fVz7ISYX2aTtT0kI2bATnAb/eku32a0CZmbiyLliuaKlLUc - Fy9n1eNc2TWMd5JVTpGpaYBSCre8deGZKyzeRX3k92pvGvDyqeQ+TWWb/uoXVr1Hqirs0+nwoDxK - +e+dwE5xS+5jcT2Im7eOcxe9OpoiuP7eUwvfWptSozvBZurVld+XZXlogQFp8wpcoY++a3xJC8J9 - CckYBWE6TVbMo7ywlz/+THUORwZesNtRl25NfZQ3j9cvni7L2bk9yd+GwIrnZKg+hc/m5t6DW0Ze - 1InLQ0lX/x0oU5l0D4XWTWu9wPY+1FRjoiqdy1hxIZteB9IJ6jcdPg55wao3sfoeH/Z8Pk5vWIrI - oGY2VOnEdU4Na//HNnthU3oIvo//8hN4/1gO0+xE6CtqG2z2/acc5U37+s3rsL27PxYqi0P7x3/H - fHj6+U8vafazlKTkVqbN2fHZP/O/w/vjImKPQSavfpsrwb5Ey4Ev3kCErbLOV7Y2UUsKsDkvnHsz - rUM3dIFiQIJGjmoyetkLp8AVVv+dmk0G3TR0XSaSoEko3rl1uVRl74J8y85UyySvJKvfh8IweWC3 - UM5+779VD1XT2FN747o6QVJ5kWg+8kRa9eb8QYwH07WeXDYqivQ3X0A4v014raduEavX/jePpb/5 - wrI7tiN450fjbq305c/mba/Bibk5Lgz3YRk+wT1AWiIuf+bnU3w5HuHv31bAf/7rr7/+12/DoG7z - oloXA4ZiGv7936sC/07y5N8sy/+b8n82EUifPIq///mvJYS/P11bf4b/PbTvoun//ucv+c+2wd9D - OyTV/3P5X+tv/ee//g8AAAD//wMA48pKz+EgAAA= + H4sIAAAAAAAAA1R6SROySrPm/vsVJ86W/kIGpZKzYxIZlEJwwI6ODkBEUESGKqBu3P/ege+N290b + F1ghIWQ+U+Z//Ouvv/5u0irPhr//+evvd9kPf/+P5do9GZK///nrf/7rr7/++us/fp//38m8TvP7 + vfwUv+O/L8vPPZ/+/ucv/r+v/N9D//z1N2nXAt424cUj7K2aYJuFS69BWaC5GXoe7sVlohYb1I6/ + KqgFrRFlwk2oiT6jzHzgT/LGf1+se9et/LqEZOxUf400lUmPT2xDVfkZPgCu0bS5xDWyHomEDfq5 + p9PqXOignhOeGvSjpJWXfgBOcQV0X39sY1BeNocerJ1Ig1e7asJ7lMhCt/Gorst2J10iw4fhFvX+ + 533TU+ZZXoxaaztT3btIXlsPggr5xgyxdt+/u7m7jqY8A05IWTQdogPv5/LWPZTUOGSeMYnMDYAd + M0ZW9srwpm7IQ9jG8Ru7Ybrt5snZtvBGmzf2Kk9DvXsqS3B3oov3j6fHxptYl5AVuYTV1jt4DQu2 + IkjOivmyonXGKL2YDRx8z9iz5iCaw6cAMrfZOf60P78Mlt1Ihh6smbA3PmY03swi38zRxaZ7alyq + Sd3RWY7HzZ6MsuN10qw1Kpw97koEx1cr0R+pBXeh3fvrztBTCZdmCaK73eA9f+0ZSz5joeTnl0Ot + 07f2mKjlBdqFIofdotlU0+jYLzhqk0i3LRjd9NVhD1vtjOg24d7GwF/WHMRr40VmIrxQx18g2Sjv + zsDO+ftBU+aFofLMbgq+Vo1UkZsYWco+W+2IsLsLaG7qjwz2kGb+e6m3meZdCeLhdcWH0Aqq8WmI + L/jMbPZ54m6ZJMpuA2W/d2iSSCdvngK3hkGGNTXWuRkJq2oclYlueuzgzK/Gts5CyPTQwep9lL2l + XmJgl9En0AsZ+vP8dk9VwxFuTTaflTGB/GafsV2ITiQ84Wkq7kcQqHqY045uNnKOorg+YS3KUEfC + 0e/BdzkNa+dW6Hpt3o+AyqtBFMX+onb/7XJYpzX4RGZtNx3GVke5X+X4UN3eaAykTwBeGgQ4r4Xe + mAuhLaAZTm9sjXWFOnXjleCNnyvWm0/nsdPWbYCSC/In/S0bUyVEAL68+VJ8SwLEqsfMQ2MFAb0X + NI5m6V6OMITeyUfXA2cQuxxVKAK9xF4Du4i83HpGn6/88LnrGFTMOfUXdDj3X7yVkdIR6zCXq+gi + bel2qSe22iUETSJ3xfY3lNhYC4cYVPYusSY+hK6/eRCgix1ufUe6tmysjdyHbbRzqUNjr2q5l6XD + IHNrqov8y+ij7U2Hxzkz8LZVVt4svK0RWpV8qQ6OgD56NTQw9o8aG92nrKZP3YrgSvOOumqnGdKs + cTKAflSxc00HNFTGa4Zd2r9xut0cUiLcZQ6W/seHyXErhr9aplip2PlL/bHpuO/20EvFTN3Cc1P2 + rrkMTsfbi2pv78VI4/oxHEL3TpB1gYo+hGaN9rcY0Z17/lTDoTwGIId3h6xuychYr8cvdO2oSCTJ + qVl/S7Y64MLTfUkcmFHvuY0L9eOiLnjVVH/qd3M/MvrDE4peWQ274476LB8Ra/thnyMwdew/c66r + erjoKnqvEgNv45PU0fl9v4DdvR5U39r3aLYqdY/K5yeiO8mxUF/AvFbQywoJet/Eboyi5ygX51uH + nZ7kxtjqCg9Ca/lYO52qdFL9F0HXw9Om2jpQI9HI0gwdY7Gg/vodoHFfdhZMD1mjhj8rKXvHA0Hm + Omuw5m1Ggz2MqYeEyFuqc8yIhOO+2gP/PA00C1LMJnTPfJgEbFN1zZ/YeI2cGLJebqlDYKmnYXrB + xGKPzOF654n2OntB9Oh7Mt8shPqpLxoYq/cKbzeOVPU3GhIwTXjg/ZtsPVIY6IJSn9epOn9QR9zT + AACkHSkORztlTvoNIZ6blAhfb+OxpX7WepsZ9L66VB3rB1eUl/4gkue7HWkeJwu4ihHqW+reE05J + NYPzWR/oWc799HuQBBGis25TJ4vGiG42c6Z8xCu3vO/IG6Xe4mCjuDrFDaTdlCjHFrqTTf0Vh0dG + 7mEWgiZ/eJ/neT/taUB8aF/7mV6LZ8Lma5OU8JbNhsYoDww290kIgX+lhA+ye9XnxbNWLL4NfJES + 8KbkiXUQG39DVmL/TqcHTAES6lLH2mXVp62sTiZaK4GNz0l5jBY8UtEUZT6+y9oesdW5y9BwHgpf + 9s5OOlNd1+FuKCp1MvoyGns67VG8snyf52wzGtvH9SQv/xcbh40cTR+0Ln98gHcruzaosknMTULW + W3r6KH01To7rw9E/fLHJvVk1Fp5BQHj6H6qL8Rh9yXsOlUfgNhi/BYNNxs4msDrnMt6yePZI8DUs + OIT2He+G+FnNNb8BQGQUl3412ai1IwdHOH2xHh9iNkryg6At03bUP+3NTljblx6c10XD24uldPTt + Zhzkhij7Vn1rq1E7dyE0h7jBjyRiqH8diwCS+aFg53SajGFEfovqGa2x6fo2Gq319wRt0dQY35IR + jQO6jQA9etJ9shcMGnuiBXfdNqi/ySPGctJxMK7AxJnS52nToS9A2R8l7F0PuTHfxNRC3VgWRFw7 + NF34Pvv1z8LHt27cW85r86IfiXrMKdKJl+sQ8Ff/0r29fkVzE19dsL22JFI4XQyWfaQ9Kv2tQ7ec + rHtUVdVCNqdLsPBX2jFZFW30FssMm8Iwpb3hX1zwdSuhbrjm2XQ4GDXE/CPGW3dXVSx+GiNMUwt4 + b6uAhoXPQLBeW5q2ZPjhjw9pUSt4Ow6OR73TyUUdb/V/7i9qVVEj+WKc8XaLwRhpv+bRRuI/1LyN + UceM1ToEpbQkataNgIhV2Xv5hy+m9LhGhOWGDVxxKBf9I3ZTEnIBXMr1B2sPye8W/CFKuykOeAdy + n/74SDG25ttfm2rTDcmN7UFvc4PuYymP5qsJFijVhsf2k/bRbK2+BNH9S8O6osdoWPQeqi/ZjfTO + mVXkUWT8ZuEfrPN1Gw1JKIZo6+LSX6m7As1+mV/QLXzF5IffvTwjAvfdc+9Lnt9WU/xUT8BWXYG3 + ck5SZlqIA/nuDFjdvWo0d7UqKjfRepLV8zYaDF08EW78OcSH5FlVw+HgvTYkozN2HP/EZrcUCbK/ + UkAxdc9Rc/dSGQ7SoyLcG75eq2VVi8x13tBDaI3V6I9diwLVXFHDmstuOG7rAG3CD8Z7BWOPf4b4 + JLEpHknLOzYaz5zHgyZpDRFPhzklTHs2aOlvalem4fES82S05pMnNbZ3DzGSP2UUaLy/8PPTmw6W + 38J6td1ix7jTaHbXZgyHzX7GNl59uoG/Yh7NonjEhjXr1SjYT16+7/kPvmzy2qOkn1swD4gnMseO + xsywnMAZlxX1PyGKpv66WfQXaESoxE9EvcPVh099iiiGe8s6cu05eY7pEfsXaeimyzMoIde3HcZB + 6Xe0uFkWFEfpQbHA9Gg8b20eXr3RYeP6fRnDbI+JItSFTviwlVICaiEr78rg/Hy7c7y5qekaXHSJ + /JV7FlICc2Aq2pOU/rjofWmbOQ1o2c2ij7Rpq9nKvAAMN1YXf9EZ4y3c7JGhlTe69FfHclIBWn4P + e2utZMxLKQfNK+eou7wPngyYyMJrZthaOziaNT+Uf/VDpKq5dqxDaf3Tl/5YNs9uvgtyL39W+E13 + Q6xVnb4zbXSKXEbtztAj9nHN+fd/Sb+SY6OpjYuPvoewxN72fuvG697Mobi6MlkfpoENmeJkcB7o + ER8YH1U97DYB8DJeEd7beYjxdtci+/QUqPnYthFDO2QhUvhH7B4rzhhl28lAPu1jbD3Ge9ffRcsG + 6MwXjmVnk77F16YEJrINdZ9KkI41uBf08yvWufx6s9ZCgha/5LM1iqq5PqbFz09S7ZoWRvc5agRd + HQ4wbgB1DevjDNiUjFS/bdVIOokTD9enFtKjrFspXbWTDaL1HKguIM0QDmOpyj8/IqfRDpFXLJWw + +BWsVtsAse+Q6ujnJ3biwLzxGe4uoF5dg7yEo9LNrwefQ0nHsy/mUlIt/qpUBJMXsf+gGI2C1sso + c5In4X58EFFYwy2sYyK0BWXzS3Bd1J1cSh13d0WDmgk5WkvcQP21rVWUOKc93IVmj+Pz6ZaSwl2H + SLJuH2wzZHYj6uoa2k15oHq4/njN0s8oph5gnZIPGiPJ9mVvvtTUW/zAhLqe++l/sgJNMige7yFa + 5Zcn4U9pacwPEC8/v4dxEkVs0Y8zSCOX0t3L9Lpeq3gdXqvC8aPL6RCNZhaoyjtxO7/3qiEabyIp + UEUHxZfoQiDz+3wCVBQW3kXtxhjt1k7gxl9D0vcCoBn8TYv660vA5ue5ZqThvyOaL+sTdaVg233f + YJNfHoET7fXyRkE+6jA+J/3nn9Pp/KQxdJt4R6/8Y5MO81Wz4ev0F19hPOumj6tdQHsHhJCsYcaQ + FGsbLfxLtcE1janTexXZ2CfU1C5WJWw0VwaF8RZOrbPm8ZFk7yEPQoIN7E/ehMcbjxQmWtjD7Vw1 + V3NsFerHHN5R91M1VhU18NM/NtOfVd/qAg/1hitJ27jfbuidhoNLcxzJO7RKRL98LcrOEF2wXZmV + N1+VlYmeyUel3nYzpBSn+IXkuzdQY9dtO3FzubdwXfkn7NybnTcPQcmBh/yDT16fORrixEvg7oQp + PiRciEZQ4QIae2T+2H5UJpZGZ8udd9zhpT9S4eHppvyQJ4dujy322NyHAVxRYxNxMCJvvNJyjVTJ + IYTl0b7jf3r1uJIFf2DxCo3aLinhEKS+v5LeTUp8bsXDFbU2dTj5kk4jshqoHyeV7pRLYYwTgxwt + /Eue11Q1psNY6sj14ou/IXBlY1O/cqhX547afhswNmprHwWa6JNqihuDrnYhgbKPJIw9f53Odf3c + wyPqebwrFFKxQ6quUeu8AprvziViT+hLGILTFbvc5Yl+fhK9IzUivZ2NFXVKxYIw31XUv5s1IulH + dtHPn9q4ihjbrhoTrDh4EMmutEoQtciCSzf7ZLxaU/frV3jRt0RgIA/GlF0pA5PDq88HmVL9yQOg + 3zyxN6K6YxUxXj9+IEppUo/x9+miXF/vnAjBtPdmbXfmwEp2GVaTr54KnSOJwEWzQcjBatJx/xXl + jWGcL/QcVuGSB6QASmlK2L1xk/fjMyTfPk8ydAIfTV0AIzTmU8MfJzMrfvGTcLoLVxzGhxiNtZva + sD6kG+ycDydvuoiKiQr5a2Dt4H88olVShiaWePTwbNL0uZvCF0T31Z3wQqB7otG+fEAvM6S3Jf+Z + 9weNg46bAl+22yKdG6TUaH24bbCpXepqCp/rNSIGX9Ddgg9zg4QaeWdOoFvLfhhdn88m3G79+POT + 6SzPTQgc61Xsb+RPN+7Xuwb0pufxuYWqm1ad+YL8XDt07+021eCdAiLzbPf54w9nbXNwN2c78fDu + p4/HwObAwVaz+I8gEqmuqwp2zB7/+ITNWqEq4qsd/JEZNJ3d0xvgndgdNdV8ZczWFAD0t3TGh+DU + Vot+DaBqPm8CXjWkYzCmGVr8BrlQkhlMV/FebhwxwzupFo1hd9qYP/9M1WfUsnl/cAA2D01f9Amp + xiZOCbo8vdjf9CT3Rnd1GlGj9yZ9LP01GTuVwOrqO9jM97toOi7s2DSG++MT1Kb0wCG7jkyy7sw7 + 6u3Ky6Cs1wQb+8o2BKKnIlJaLsc7u9I6MXwKHBhVFPkrbWMxtvQDIoZYYF/tztEXXdRYWfJEvAPt + my76OJBD7TsSw5+ebBR7O0R+cLT9uaJNx74OX//wnuYb7VXVv7zP/7qU2sleRcLneLflHvgD/eH9 + EEaFC/GI9nRbPoOKbKePiOapFKmXU9/45QW/+sC/fEMEtZGh2tsWTqTgXX0ft0QEn7sLpGm9BH0z + cV+gQ/4KaHb5fru+G44+OrsHG/un/asbH7dT/vMT2Ky9upsv+50MWls7Cx9evULLmj1i66dNuEu6 + YbPAriWc7tKVOp6aIGZNuQpXHF6xlTXvlITbLINaKQl2XXXuepZfahiy2fU3h9bu1m2dBWAcuD3e + 9YbLhksS1XB6rXV8mOobm+LmZMP5JbTUfT6hIhGnvuA+W+ov7+4Eb5x92Fy8lIzV06zmcLSI3N3V + C9a0XjKYmrUq1Gh6YPz5OGxmct+gJR/Gtqk2FWmO3gm88X2lxuJPpuS505HrQ0kXf5WS/HZc8Hwt + YGxXNBpvpnSRnUKoCL/PSkbq+ruHDUqYL6RSY8x7brIVWViFPmvDjvXlcZ1BH0YJ1WWeY4MzuTGa + +muBva/Q/tFz0OjExFaeeGl/frYnGDJp7V8JiVhfD5vXL//DWJm1StyPRYzuasz7H9UmXZ96L0s5 + ZJKG/b6eOtJfxRnOzygndOAN74fPaMnfqbqdCzY/vJ0Lu9frQK89HBjzDvYJWasTj63d/IoW/34B + 2r977J3Ks9fDpsihOKcdmY+WZghhVNiQbrl0OW+mS173gma4vKn2ogv/l5oF4YOfqXWovmy8NfcZ + 4kvYkttDLBY/Z/M/fUut7aut2tSjJUo4NBImB27KsJT4KF5rL3oon3naP26nDM71a4OPIvpGpNXb + GM3HeoN3wWo0RuMcmQBbaU+KTJL+6BVQj2KD/aW/yM1reLToV+yft7tO4nHzgjitt/70CjUmrud1 + DoavyYTLxR4NC75DCH7lo2W+ICVmYqLr65Pj7de7GbNwEVV4y1aDcboX2UzRQf3lYWRzKV0m5ERK + ZOsRS/TQCadoXPwAWrGu8Zl/9j0q36/tD+/org63qbiZJRt6xtUEsgR707tmKqyt45NMWVRWZK1p + oRL0OaXqKAhVf2vOI5R2r2Jvcz0b02kf6bA6yoR8D23TTeaaq8GTGo1mWUK9cddeQ3mNyg1e9Jwn + +pwkImtGmt+/ydagu0NDoEiohQ9ap7O5u64t2B6DAw7CtjKmH5/HqNQpVncqmq+KZMEhuPnUsjZa + JJwavlSWfAY7xOBZ63MFpyx6GKvby+DNnP/MYMFnf94gxIhZBckvD/W56ylD8wO4Ewq1bvR740W8 + 6aLIOvzmI6ZY8+n0GcTmjx/VCLTekkfnsAnGkC58bPR7y6nh/DzmFCvzs1vyLoCfPtSd3ZPV+zTp + IX2vY2qsEetmTo0JsOSUUPdY5QaNzTYA3S0tvFNfZTrlBWkBF47+y8eqicegol3j3rD307vN8Ex+ + /U63raF2PLu646/+CbUt1eOFt3cCVy+oj37v53BSS1j0Id3F2z4dPse7K08aWeEl/0Lj+lImQMhD + oy491hGLmhW3WeYT5LPk6WyU0R7UaX5TcyW76bjg789PUdOw+27JA3vEhSpP8ZKfDlXhh7D4c2rl + klyxZd6ILp0E/mplMzY/ikz85YE0XvhmWlXrEU5N7lPjehjTSXmpHMws2NKbt1EYPUhtAvApYyKz + 4cTmiFNrZdGv/zXvOIujiozelfHeeBFjmRfF6x/fLfM8b/LSV6ngbVH4QgtVNXwGroEXMy+/51fx + tF+Lf/JLs0jAaMPovYe1FT39DjnIG2Z7HcOSv/ss4wQ0SnfRB27iJgJRua94e320YSwMhv0JNSnt + nD6GZ/JW6T7lUo8EUspDEgwGdrTOSYdcgAs4hVT5SvnMo0X/2BC8T1fq17c4ncx24GXN38f4/PU2 + xjBrLEef+hL90edDEI0XkA7Vyueu0TOdLvQb/vCafIQ4i/if/tpc5ZbuCsWvyG++8VV5Svfpdu0N + n0FsofmOt2X+03Xzg7zrX/5CLs3n1ZGb2cngDl6AtXdz8v7knUo/pdT/6fWPu59BHMoT/um/ZmJ8 + Jt/QvcUuiY2IFa5wkaV7fsRG8ayrybFi96d/sCVfHYPclEBVlvnU8nyQQaZrnqD9eD8SxmqN9U+D + e8n5tpPwwWl1o9Fmc1Tc78f04R0e09/8FY4Y1kS2/X3VeSs/hms3iEQRcy1tUiUN0Lz++oQtedp0 + ifIG3icpoPuXoHvSksfIxrB2aCLoHZv0qvX/zFP127aImmHQVLT4dYyft9FrzluVl4Pd4UptpGdR + fzXXrbzMP4kAfZOyk7jhodsqvb++jQdvjLZH/cfnyzyH8+beqVX0yze97X1T/fgOHlmd+tTz42gq + yVUHFu11Ih2zR8Tun+IEL3lPqJnvPynNii6Bv39bAf/5r7/++l+/DYO6uefvZTFgyKfh3/+9KvDv + 5J78m+fFf1PxzyYC6ZMi//uf/1pC+PvbNfV3+N9D88o//d///KX82Tb4e2iG5P3/XP7Xcq///Nf/ + AQAA//8DAIhgdPLhIAAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c699faa20a63-AMS + - 7c965f6bfd731ca2-AMS Connection: - keep-alive Content-Encoding: @@ -1193,7 +1191,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:17 GMT + - Thu, 18 May 2023 19:05:38 GMT Server: - cloudflare access-control-allow-origin: @@ -1203,7 +1201,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '24' + - '21' openai-version: - '2020-10-01' strict-transport-security: @@ -1215,49 +1213,48 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 98fedc92edc89332a324b62c314a7d00 + - 36f5007a6c4425f08fe62a8b13fa6d1f status: code: 200 message: OK - request: - body: '{"model": "text-davinci-003", "prompt": "Consisely summarize the following - text, covering the topics present in the text and nothing more. If the text - does not contain information, describe the type of text.\n\nText: \"\"\"Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet\"\"\"\n\nSummary/description:", "temperature": 0, "max_tokens": - 500}' + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -1266,24 +1263,25 @@ interactions: Connection: - keep-alive Content-Length: - - '2991' + - '2940' Content-Type: - application/json method: POST - uri: https://api.openai.com/v1/completions + uri: https://api.openai.com/v1/chat/completions response: body: string: !!binary | - H4sIAAAAAAAAA0yPzWoCMRRG932K8K1jGcdf8gK1tV0U7EJqkczM1YkmuSG5FkF892IpbZcf53Dg - u8B1MGhD8oPZw/4pvS0XDVeHl8d6fV7PV5PF7vi6PIw8NLg5UCswEDrLtuWQPInjCI02kxXqYIbT - +bgeVvVsphG4I/+jDzr76WLrBlU1uvk9u5YKzPvlG8NArXpX1G0oV5RVmRKJu/UV75T0pFKfbSG1 - wTNnCsqlcgqqY89ZFSfKBpIN7qHhYkdnmErD8z5lbgpMPHmvsXPRlX6byRaOMCjCCdcPjVOxe4K5 - IGUOSbbCR4oFZliNJxp/X39BXWkIi/X/1Onker37AgAA//8DANywh0dSAQAA + H4sIAAAAAAAAA0SOy07DMBBF93yFNWunSpSmLV6DhMSiggUsEKpce5qYOh7LMwGqKv+Oinhsr849 + OmcIHgy4wYobc6zWd/724XBfr2+efHfYxtN2+dj2x+75ums2oIH2b+jk57FwNOaIEiiBBlfQCnow + zWqzXLardbvRMJLHCAb6LFW76CqZyp6quq0b0DCx7RHMGXKhMctO6IiJwXTtUsO/+29v1hqExMZ/ + smtmDW6g4JDBvJxhRP61FooIBixzYLFJLo2UBNOl36qCGSVIeEdlk1cj2hRSH5FZsZSQekUH9UHF + s3I0jpTiSU2MXllWVuVoHQ4UPRYVkvLIoU/fojztY+AhpH4Bs4ZDSIGHXUHLlMAAC2XQEJLHTzD1 + /DpffQEAAP//AwDCE0cFhQEAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c69b3bc30a63-AMS + - 7c965f6d5f571ca2-AMS Cache-Control: - no-cache, must-revalidate Connection: @@ -1293,7 +1291,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:20 GMT + - Thu, 18 May 2023 19:05:40 GMT Server: - cloudflare access-control-allow-origin: @@ -1301,29 +1299,29 @@ interactions: alt-svc: - h3=":443"; ma=86400, h3-29=":443"; ma=86400 openai-model: - - text-davinci-003 + - gpt-3.5-turbo-0301 openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '2925' + - '1961' openai-version: - '2020-10-01' strict-transport-security: - max-age=15724800; includeSubDomains x-ratelimit-limit-requests: - - '3000' + - '3500' x-ratelimit-limit-tokens: - - '250000' + - '90000' x-ratelimit-remaining-requests: - - '2999' + - '3499' x-ratelimit-remaining-tokens: - - '249500' + - '88794' x-ratelimit-reset-requests: - - 20ms + - 17ms x-ratelimit-reset-tokens: - - 120ms + - 804ms x-request-id: - - fdd7fb5777c8d341d1913fb7b0d9a38e + - 3d8bff3f366779228460933bf934df67 status: code: 200 message: OK @@ -1492,7 +1490,7 @@ interactions: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c6aebd050a63-AMS + - 7c965f8a7e541ca2-AMS Connection: - keep-alive Content-Encoding: @@ -1500,7 +1498,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:21 GMT + - Thu, 18 May 2023 19:05:43 GMT Server: - cloudflare access-control-allow-origin: @@ -1510,7 +1508,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '244' + - '246' openai-version: - '2020-10-01' strict-transport-security: @@ -1522,13 +1520,14 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 6a121b1c83412d98e7cdcaa887002647 + - 8acfc872ecd10ebbc9a5dbb87c9dfcc0 status: code: 200 message: OK - request: - body: '{"input": "This text is a repetition of the phrase \"Lorem ipsum dolor - sit amet\".", "model": "text-embedding-ada-002", "encoding_format": "base64"}' + body: '{"input": "a repetitive and meaningless string of words commonly used as + a placeholder in design and publishing.", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' headers: Accept: - '*/*' @@ -1537,7 +1536,7 @@ interactions: Connection: - keep-alive Content-Length: - - '148' + - '178' Content-Type: - application/json method: POST @@ -1545,120 +1544,120 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VAoGXdIeeTrQiiTiYTUFRARA4ttDv7u0/0v7Jn7xsT - sEasz/M7Pf2Pf/z1199dUZfX6e9//fX3qxqnv//X994tn/K///XX//7HX3/99dd//F7/x8qyLcrb - rXo/fst/b1bvW7n8/a+/hP+68/8X/euvv/sgOZBZCfp6pCk4gK0hXKjhnTPAeKtd4bN2O+rinQ02 - 036wVPGhGDS80NaccyEeVY23EpJfizOw8pxkELWyQF0aySa/K6WgxD0pMa59b2Bp7kO1OjQNNj8B - SnjftATowWkmwsqSQC8SroPYuQd0F6Va0UHJP0BbojcCR4DC5ZP7Bnzf7ykRdXkGXPfMCjQ35YWj - 5/sG5k1LIxDj6Uy3N/dcz1Hb7kFyfmo4qkI4LDeyBJr+pgZF9g4XH+Q4PSwAXqh1UhY+uVDZw1hO - D9TdvqWCG0KnwuT57ImSzXYyb03NgZPQRDinhlPPTxdL4OX0M9k4/h4Qf6PMwJmcAsHxhAsiXvMW - 5rf9lh72KSrm7e4mgJVnjdip2IvP4+cOwdZ2UmpuMh1saml/1U5+22Hd2N4KKp8SC/qxfsKWfFbr - 0Q7kB/THM6an7/NN14Cdtfs2dLCxfkXFBMHYqZlCFOxLU1Kwm6C10FOfLtHOjCZseH9WgB6KAVvh - uhyWQ/TUITBMFy234ZQI0PMISBV1S21SkGJ+sUCHny5RqKElO3PCp2alqTLwEaxokcw6ywjMjm8J - uwnVizkKJgvILXzjxNFsk9fSUmn6plmou2639SSA2dLea+dJ9Ti2TfZAcaW9u/uWsDN7JMwnqgWZ - nK6JskVlMudafIbyB1XUhXM9sCSuM6hluEHz6fkwl5pSAd5nlhA4Jw5frIvQw3hyehzepidg12oV - wRG6NbWjaBvOS7A/w2dtd9iWzaqYZ6pmoF1PEg5oaycC9rcqrPbZh3CG6oSr93MPUZWvsJUAKfw+ - nwNvtmRRXNNwYDy8pVBumgIbB4PwRXVwC+zhLpIPEnacRh+1gavHysPOW62LaV0+Uy06NA6+Vblp - Cvv48YA3D+2RctEfw/gCW6LRYlCw2csE8JPS76Euohd1no5fL8hBnUpB4iDh9nyBpbzuCXRyuNBz - C7qEXN2NB0EaLNiWQDOwoJgbmO/OB+q1wCvmdukgzI4v6dt/JBl8YfWAt+Aaooc5XQb+9Lmzlt2d - T51MlTgVhg1T70Fi4l3RTQlbNS8G5U9U4dA/wvrTxdsUitA4U7QVs4Gr3T6FksEC6p/kipPb5VgC - 6l9WRMinkH/3P9eqk5XjsjHWYFzkPYSauDYIuBdGMqv+oIKL1gvYG1+PejRmUMH35Hp024a7WpJ8 - FkAqdWvqkk5J3mp3TuGTiQ6+ZFE7NOQonlU6XE5YD01i8rPiR5D6xYosxH6AfjCeFtT45GJ/MYuC - blCSw1cYtNhIgqiYLwN34HSDA0aNseY02ik5sHwD4zA/fsyp8/wODIYaYfPRy+a8vOZKFU/cQu3T - shMpaOQDzG+HLQ5Zth6oqG0CODsPgoTryTKn9zS0END8jG09ZeZyCy4ZlDVyxuHNr01On132q38c - glwY6O4uz7A/VirRTv0ykJi0nZKHwQnr9kUK+S47G+pJLwdqHV8oIUEz7zXfBjpR1jt/2CQcq6Cx - FAX75+uTs9VhlwJhbSokyw90YK6RElhNQkhE+tqbfJB2BuRm+8bI3tGEfz8PdSS22KbbOFlsN0Xw - VJADUdSBmgvSHBmEr6NNtKdkJZKbih68TpaCxG9/fVw0E20v3BeykKEGPEKHKwxfJ5ta5cdM2G0Q - VXg5bVO0SZZmYA/7IsBXoxuEHuuLyUcvKkEIHQnN4WcJ+49al6DfPBLU3PkrXJyzWsGt3pZkeSsk - HBRwEWCh3UYa9W5qsmslRTCcyQrj3E6G2brtodZUcUi9W5IO/JhFLaDM9/GuWj3BOH5OK0A/4ZVu - h7gFPCsHBEoaawTS3VTQbfWs4MlvOro7ro4Fu15WD2j6Q0PgrHzAuJe8TJ0OLUcP58mHLry1LcgL - w8GuveVJVzz36IenRLvJ3rBYoijB+zWfiOif3+aSHB8E3rfJibpro+KjHLS6mogAE2E3AHPqxs8V - fPEJG6GwAbMsty1cIUjwdz1YrAvsfnhFHuws8Kl8nc9wWkMLF9/6pfVaiaCjjhiHqz0Dk4tjBnW2 - 6pEG/bygtH8YWgmXB+k+oVmPVBE8eDn5L2pVpp4Ir10VwfShHomQ+Ttzntu4+VMfCOzNkCVTWILV - 9RrTva0JnAxvT4Ws3vjYXuKoZtf9SgAftRYoPtC1OXHOKujUq5JIucxqvtvtM+j0woO6u7udkP2V - 7qE2asdvPyNzLmzZgls3w9QdhHVBv/isRuHqhe2wb5NZi/Uz9G1G6Xd/+GBU+lVb9ZaNoLiuTaZt - 3ns53QYb6h+NhrPNYc8gvp1NfP8+T+u+jw0E9+qDnVIiCQ/tA4Mbtmmwv/PieipuXIbvrcbQOklu - gNyqowfVFsyoOSWI87Ohr4A6fZ7UXy9dwoZyizSWaDlG4a0vJvtSNFALNIia5JiYTGivOfz1p3XV - 3iZJDlGuHOyVQ8Qx5EnvX1UCtJgSsgljUrROeVNhNUkh4dbnWbPj/oNg7qlXIjzvz7r3trwDOD04 - X/0jD1PMDAjFXl9Tf2W6QFhovFeqh+Vife+7w/jlAzW3zi2Nq93CKan8XL1mJw8JV1DxLgzfEUzU - Z4ZW5pOB5bV5ndX7tVphr9s++ZxNm0xphotHnaY0Evaw5hmypdTIBnMPTI52yOBnSVrsBm5UM27c - ehAeX2/CtE0IlmV/FUCXZz724WkYxotYCODL3zQYAyuZa7w7AwULBg1qL/nizzWCr9t+jxQI+oQF - JDa0PA0sGkbTMeEBThvtgkIZm12Lh7lwYg+m7/mEbV2e+btvCIH3Ve5Qr1cskz5fCYJsyUaiJd4p - 5IbzyMB3f2iItzKfwbo3YFkvAsb9c5vM1eC0MCqElIjgXhfMOWYR7HN/S0NfKQpeTYsEEAo/NPQW - jc9YDyKY1sEeO2d9LviXr0CzD59InJI9mFq/EUAaXGyKdFf68olcwWZaUqRWjVDTIW9U+NV3ZAO6 - F5+3u6MEOltIcOTlz4RLvdZDm64HGh4ucc0f7TGFeaE7RDgpMX85zsH5XdNkG3tgscabBWlTH4my - +vSAuK3wgCLXR5o/r6eQSZtLB1SQHKnOVifAWFlKQNYal+6NrVaw48ojEF0uMXU/DwDYGzodfDWG - QY7d7jTMcNq2UIOihd3lypPXqjMctfpkRySUdjMMk/CRoLxHElFW9hjSuokdkFt5i14if4fz1N0E - deumGCN6Ts3v/iLYfMIdgXb7TpYr5XvI7veaVMdVW4wsOTtg/Gw6sgmGIWG3y/EK0/GwI6tg4xZf - vHCA/2Ye6Z44CheOlk5lMb0TnBZFvQgfmcArXHV4Oz0rc86mdQrQPk4RyBOLzwoZZyArTkx3WrwB - VP7kpdolpYt1byF8UBbFgtdcw0i9psrAfUeEqrh5VPTe1na9CKfzHt65gb564Wwur+vuAOZCb7AP - 4kPIntnswZ8fQv1B5VTplBwOtufSc2P3BTls7AOMs0yh+L5bwvImiC2UGzJS/Yh1znh4TKGafkTs - qwMOl/YVrYCdrdcUHbAesnePD2Az2ozIdY1rts4HCOdYfmMjf+iAR2CBYA4DEeubx6FgwUFWARvX - DlEgCJI5vJEGFhIF2EfCxPtEaiI4VdcKf/GtWEp9bsG+2klotK6v4U+/bA/E++nP+qtPxz/4r1vi - phhpCBqY1fYFB+Ra16/3VLfgp6fdOT2CZd5rsmr6nwat06IYhkC7ebBXZkT10GYFC/wl0k6psKfm - u4z53MBQUNV9uMbeY9gVUuLVHVRBfMSB629NtjqQHJoSS9H6tLnWYwNNQT2FK+Gr91/JnDtqBFTm - n6mryU9zEB1JhrdthhBDXQw+q3uQw1CRwBfbXz/+ceDbozVR9P4+sHufE6jFE6G7W/rhXz9MNJDl - I0bOcQQLe4IA+vX+QL2TrQ3UP2sprIrxib/+mi/lRhag5J5jbOXDe1i6uD//0cPiTt0O/B6Wezh3 - lfvVD0lCP/p7BbMRZ6RBXK65vjYZeMvRnZ5vSVpPXf1hcFVHJkYOwGD58j+ICmJSO7Tqr36fGJz8 - l4NE9bgdSPfYXeVT6ZTUiVFeL03QruAHcoroWcvMGa8/DgQ370aWp50W82V/WAF7ojOZJ0ktJues - PqDN3IzqIkpMLgzrGSDFKLG7Kq2QjYZuQI8md6IkWZdwiWsZoDdFoGafziFL8+0KIq1/4eA9MrN3 - 38cWXITHhgCQp8P82lXox79I+fLX0m6sDEZ+c8Gu48+AHKaxAmegaHSHo3VNd9liQa11E4rAvg7J - 9bKqQP/uGmy+kMTZ43GWYZp7NQ21nvIJnizh939S0yiCeuJQRb96xhEPfZOJBOgQh56HA2q09bIH - wwg3q+OENoNwL2b9czfgr56iZi3V0+26zOCr76n32r35nFeHFE6Xq0j615kMNbn4BM65mmC0c6uB - n4ze+PkTpD3322Ijnld74J/UC8r1pA6Zn1wgCE+bioa54oJxa5UBsKzcwwjFVsHG9FFqX36jqQwv - Bb0rmQRxuL/84dvZTFkGp4LMZOUcR87SfDB+/gJt6CzxjzlKAcw9+UqTh6MUQ/pAuRo7t4BG740M - uFetPYiQ/0HiR+Hgp8+0Uq1fiHNoAmlMu6uS47kkpvusAZ1WRgPTk9xh7zotQ7c1RQvSVnliA1mJ - OTfIPPzhU/NDduaXP3r4FlcNAudXk8zKdncAeFel1KvWe87s5XSG28PoUZwPUr0g7KTq+H5NdAcn - xaTb1baHq1K6kf4hywWdhKcA02tF0bp8k3BhPZPAt76xwf3VMFMDyNBMlQg7bVSByR6gAcLkNFKX - 6YdwRC/Tgd/8guqrg2cy9i4rwG64o/ZLg8myBzWBYe7eSHfeFf/m/3uvP7Fz8ybAp31twWbiKTWn - 0QPk56/2E10jae/cQrIP3ios2y2lenYxhu//u4JmqNwxfq0dLljGRf35F0STRAP8LHce1B+iTqNB - TIfZpvsUTFUa0+u8sWsuA1UGumeL3/3JBq6PdQpA6FsUa9dV3Zxq7QGfinjBld1cefuwZqb6Z73H - cbFWQbe1Mg9+8zKsK/M0DNOlYjAd8xLbb/vCh/Pt44DnQ5yonry8mkmF8oD0BgSSSt66YKV2RdCR - MxNp5fVdMOmVH9QwOY5YV+XBJD/9YDP8xrtIhiERgwRpE4v0f/sJ5fo6w+oTWRSXJi6YE2UP2FwK - itSP+gn5zjp30Altg9Tu0wRkUJ6pdrGUHiPdzUz2+CwdlCfpQ3frFyimvVVff/4Nb/ONVoyblEqA - tuCJXXE1ceJEWQXZ840QiHypXjrx6WlxV9bU8urbwOtpP//R13F94sO8k6MGZnMDsR8ckmTOz0oL - /TrYYt3j3Jzsqtj/8JZa+eAOjVEKARTfHacunTM+a2IXga+ew7bTTOG0njsCZUnKyItdenM5mJ8U - Vm4GEXy+Nf7DS21bOjp6OVXHyaB8Mth72xNaIdEMResidGr2EEsCvOUGfv4VzrfDnajP6yb85Wkq - o6cD4ZZtcHF91BvA6G6Lw/2wmMvq+OyhP+YYcd11Q/7Lf75+BofX+mH+yc9OQ7ul0Waqaxrahxn+ - 8BC/Jzf54S/QZKSRUbw8zJm8BQZ1RRqpLXzsglNHj2BPqpZA9nK+ecYjhZPiGNQ1leMw46LP5LeF - J/T1v/X4zU/hZn59qNudV8XXP17BxRgoxfeF8mX/aTJwR0qAo1ctJvSsbJHa9/qMlmHj89kKLy1I - II/p7nl41WyItgL41g8pt6I0jFFLDkCEwQdtvDUNv361hXG8MdH6eRuL5dKVDEYpPNBsfSpCvmOX - CN5f55yaROpr/vXDkNWiT+/lhxWLrYEz6M3LHkfffJex4ymAc8wypOrHdzHNq1UJrnL2JJC9g0JG - JJhBvDtG5OevZ8uIVYgkVlOEL1su0BtbqfHufkOfbH4ljM9ZBONn+6RfPQiWtdF5f/zJyvcdMF2y - Uw7V4dJS3PEHn7/54S9//unXcImt4Ayf71f5xatrMj8rpIJ+Gx6RGPZOIkn6JQfNx/+jpwu2mWQZ - JpPJsUkOIZ/h+HgAjw82DmHFknlHBgHIErHJ/e02yVKEwgPKh+uCPufrlkuFuCEwjkUTu8TKa66v - qlGTQRZR01h/Ek4Eb1a74Jqj9eUpgBlK24O6Mq8vatZVXnRhSmQoioc3Wt8XDGjYJz2U/dcRm0tv - DVNJzg6U16sE+yfZ4OwBFgN+8xDq1PA9TGvjEcDBDlxqPe/b+pc3g2tXMjJ4iwZ6f3tooaa+faTe - Z7UeC7yXNObcN9iAlBQ9V44yDIPTmqiVLvLhcvN0GJ8bAbt7xSiWdeTJ8OWpA1EOzK9ZoC8VNA+1 - TpHqveoZSH0GS/X5Qo/pAAZ+VrYRBFtVQhsYNXy0bkyH7H6rsffiPV88uI+gaQwxqoJRLRbVcRsw - x3OGi2/+yX75w/W2C/A330gmQ9pAsNsUMnXR5x3S431Kf/k/tkPnXf/0G4iXco9RLykDO0zjA2BD - D3FwedzrTfgsVjA1a5Ooy+HJFzOXZvidT/z6C2xo3xnwen6biDOhTbiBOx1+8waMVr1ujmFII/DV - fzRUPDEhrnJdAQkdEurOh3j45qUWoNpzi/X91BZ86/q5qpO3RQr8Og1Crl3OMOZjSG0P2QkfxzAC - v347KMe44KTyz0CAfEXDGGNOB8nWYQZtmwiXOgi5asoVjCXnhB675JMMP30hWxqi3nlRw6XdRJny - y3uR77dgaRLSga/f/PrtfUGHemyhmg4iUoQiDdmvHqY9emPD8YqB9ceqhfrr7lKT5p9kRIeq1+Qb - VNFQ3Np6bljtgNd5ztGcadtkKcne0QymcOofUA+ogTsDztaeExbuFXPqpCCCTndNMZKIN/BHe0uB - sCQieb6PNBm++S6QT46Mv/lXSD6Z2UGxDjSqG69ryMSNSn56nyIp8DlPuKtCc5/Y1BDEIuRVwUo4 - MfTjz0fB6yI+a9/9wfph/aoJp5oH0l4/0D07p2Co8znVRmjXOCIfMrDnbi41sTfWZJ0PWf37PZCN - moOD2XuEC4cMaR6N7xQFiTdsyMUf4T3WRepiHIQCjD/lz2+ixMbWME/3LAAUxA61laXiY81fCCIW - XNFmuSYFl3qxB3uJjtQ67MR61kF2/uXf5CKsD3wx47UFzgBoSPvy9/jLN5ylPaD31jwNc80jDzZu - KFBzrFyTBa84g198RYo0JckPTzUTnAv8nUeGnU3PGQxrN0BwukdgVjfmWfvOI1Hd6VEt1DwKoPMk - NbX98zvMV9NUQskOMuzc88lk98eygrHa7gg75u96+ewfB2BeCgMpWVAlCxsKFd7Hw5XuXsLDpNlx - qOCzfC84MLb1MJBz1wFQq5jabL0zxbW5RbDSryoRTptpYH3ZHwCzdhB7w80Af/Ld6YMSMgQ39Ze/ - 9NChaYZ36k3jf+ZF71pQsde9Gz69m0BQv/yI+Dbu+A8PgFl0GtYlyIdx01IErpOj/PQ5Z/BF5V// - ofZUisP0ywe+813svFO9GJdgKYFYLiekCGsGyLF6tPCrP6iueW1CAy7kMDWfJna0oeQL4EiH4eal - U7PNhGK26JJraC0/aHBNlZpWhwuB+wpL1I+7N+cJcnVoDo8RBx84JYv7jD3t7pkeWgzBGDb6qh/h - tY02OKLLGNKdde4hqGWM9+gWmmONxvTPfNECAhjGb34J+iA+/JvfDDM14BZFMU6+/fv+8XVWuxcc - fP3AIwpeDnCsU0yDKW3D2XhzCXznEdhZYa2mW9c/a6Wc9GQegzLkVcM8KLl5jHd3vTW/9dvBp7g7 - /PRRyMQkV6EIvQ96ZNozGb54r4kPtlA3Au3ABuPjwGTa8m8et9Ss70ID6snpRsD3+uuvIXjmLiAf - R1Xr6ZsvgMb1BbISrn4ievCMQFVaExHbJwj5GFsevCeHGRGlcYBgpmoG7eEm4l15dROeLWEP/Ifs - 0OSFJDBZYjrDSi9VGrxWS832ybuFuaHnNN0NRThG9LUCp3T1pF99nNDnBvTw79+pgP/8x19//Z/f - CYO2u5Wv78GAqVymf/7XUYF/5rf8n4Ig/ZNKf04ikDF/lH//69+HEP7+DF37mf7v1DXle/z7X3+J - yp/jBn9P3ZS//vv9f3y/7T//8f8AAAD//wMAShJOBOMgAAA= + H4sIAAAAAAAAA1SaXa+6zLbl7/enePLc0jsiIjXZdwjyjhSCb3Q6HUBFQUSBqoI6Od/9BP+7T3ff + mCwWWS6KWXOM8Zv1H//466+/27y6FcPf//rr79ezH/7+H/O1azZkf//rr//5j7/++uuv//h9/n93 + 3pr8dr0+3+Xv9t8vn+/rbfz7X3+J/33l/970r7/+Fvteo9HuxhHRlt4Xdl+zwpvsck7oNoYAeWp2 + p043nf3xfJoElPIMUd8Sxmo8d+ITsNQ0REWkTqZX037hUxdFyO6bTcKPXhlCIKxtvGmeDaKSvPkC + RtMBB4/zEXFJLk5IWHcd1T/qB3HtZQdQN9abeviz98l6uSnB8Y91qHb1AU2P0BagQ8WeXklEOvYR + CUHDqi/Db3z0kGRW7x7E8/5GLU52Sd86cgTy9xIQ1Gy8TsJdSwA90JM6g/etJtidLXAfyitMxV7h + zMo0Ec6+EIVrZUv8kW+cJ7gP+YVtFKkVXQasUa1tXeFrfqGcUTl6qrzXztQqV+uq28YQKiqnHyLK + iwMaN+yjgJkoCnUOsmHwzzYO0Eajj3A6m74xvgJ/C9KlNqm3vjU5X3wowG3jT0S09Xc1jEdLRCKs + TgSdXZ9P5VMS4ZGUAT1H1rkbaftmgB86wZrYbCvebLoWBesvwUGy+uZTxk9PSOXmQ005W/FhlZ40 + iC/3S7g4cD3n+wIFkLvfAuuLh26IVFYV9LxrFs0ZbxBDfdzDZsw9IiAfUPtMn1/18sw5UbJ8SD5E + NQD0/v3CDpVqg0iOGkLl7Xf45Lwm//N+xo2qjBcda3Rn5V9znYqQ8lMUNkrpVrTpvzos5eOepJb4 + Str9qmSqC0Si+rQ9G+MHbw9wSKUvNdLgjfqdFz6BXFMSKsxsE/b1IhkuG0HA2iL1817vXQ/ye3DA + SbttujEI3xEs3IVHXbFjPndPcg9z/WLdWlv+WN3TA9z6YIX3B4F0w2FxvMF4fxzIan8tjX4ITgqQ + y/YbCs/1MRlP2oWBuTCPVG8/RkVgd97CIV0fieQ0BZ9s/MmQQCZClun5xtl7Kns1qC0pXLZhzPla + YYE6gBzieFV4CSO7XoQFfQ9E4mSXj+lAJRiP2hP72n7Ix3rJS2SKZ0r98rNK+msXRfC90yfW0IFX + 3bRMtuvrcXGiZkbsfKSJJoFmFhlOTiXxmTf5LYiWusAmsvbJ8FW8HsWXk44tPyr5dCtlEZZ6jnFw + lo/GaLkTWdjmaRVOH9Xln2Ffhqqytyq8S/bPalov3RKyhGRkfLgt4ueHdwHdUnW6OycXn6kDP8Du + vt9jD38RHw7fTQiXqX0TxYEeTbpUxWCbcYB9Ju4rkvFbCainnCi6j5JOw4oAWBswNuT9KeH6vonA + fTsCdd5sUy1vVhKrb7094sC6uOi11D8e3EbG8Gnef4NxdQS0vO5KrK9uC061Fw6A6IVN70iOqumU + bzRkfooJ6x/VRZOxGgO4D4aEA3NbdeSUb3TQorinvtudfPo+lzc4LB4ytnaqmfNVmAZIt+QzNtb1 + yJl8UGPkFvEGO8FUVsNl0AvYNM8d9nJedtN5vDwhT6lNeJh1FU1urqcErsHI9FksEtYUQgM5jRa/ + ejT48f6ZkOluW2qj6FrRqUxLWJeZgnfHxYgGcTPIaMzCCG+mz8Hn7saqf/8/tSPrXDHQn5Gqlecz + UVVb75bBWouhYJFDVOF6S8Z2bRfovC9doq6NZcdr7Upg001N2NxcL5nE8dzDJFnHuR88DZrcNp56 + LK2ABmd5aQx3+xFC5sgO1sRWMWjINgUcaPYMFUGmxiSO9x58wzDIuc83ybirewtYfVoT4iPRH/0n + Y+jVoIZ68/00XS1itBJvXriqT59ujOOOgRefs3B5zTY+2VZHDd62TPDOeRQGXwZyjRLShuHCwB/E + hqero5eVWQSVn1XeS+0tgIy8T2TSl2tjiNuyUZLU34SjkZ18en4ct7CBrUmL4cl8FknDE7H6sMY4 + KdKO3brlF4TwUtOETMeOUbkLEFvsljg8DSzh9rc+wT0oT9QQVIqGOBaKX78Ji+X7jaZnNVnK3T61 + 9Fef03JyIiVXzD12D0ljsGv3FCBZvyWKTXXts/HlxaB5443q9Bx3X/Roa6R5/EZDM6S8Z7WtK9Ll + y6irGFXCwuVWgXiAF769XtTnmB0cyA83gv1FM3TjPk4tJK3NF9bn+voUzCDQmZ8XxoP54WRdZi3o + /VPB28Y++eP+HX9h1n9svkqjYxbVM3UvaxW2r/WQ02NpO1AxHNHNe/lMxjiWbrA8L2wc8i2t2Pai + yMr35Znh+m4+/WnKniL4gsNp6j4+vGtOKwXainHsxadjN/KTt0VfXAd0E+89nySGECNDbQYaLNup + 4ltVaZQQbTusZeohmaz6EkGyfkmhek5kfyiY36O5f4SIZm01uI+vqJy04oSvx8Wej+1OukAm+pha + efHiv3oB/7o8UDzY93w6ZOYEXEIH4i5uEmdoU5wgCaMtvg/2Iifmei/CzWc6vry2rcHve/ZFMqUR + dtnXTMZVetPgex+eNFjoKBnu9ieAQ4qO1Jj3N9f3eQPFd1KI8Fufbil+1Zopa2x7XYUGhZVMlXGc + Y92J66QTV2EGUybUeFsOu2Qq7pcAmNheaHgiyCB1lDoQPciZ2oEZcBJ1/IIMtdTpTjpaCe/M1oP9 + e6REdK4oaTcbj0EPSUSkxdquxmGvyOgyaAY9m7GJxJ2LJKR1eow368yseuwXhbyixpvaxX7k48tn + GTzF4Ug36zzKCUtpDRG8Emw5r9ifzmMXKNpLqkn6kV1DChLWgGNpJb3YqZ6w8qJrwA5RGLaz35EO + aZuBYdcaPsjC12B2RgLZv64XZBAKXvV9ybcQGN9NWMW5lNMbWIXCH6GF3QcfE7b+Kltk3S8itsUn + 6SbnJcvwPMQldgJRMiZ3fyCAtbamWixDRRIjklV3/7Kw/li983epFvN61QOZZr2lXfYg6uOyRhRX + jWvQlhxPyqx31Djdq4Sk0+ig8uK+qUVOisHv73Mty/T7Ch+k/eST4u8tyBf1jWZvdOm425+/cnsL + FIqN6NBN4eKt//wa1dIPMaYKX2XU9LP4L549muR7QFBchYuwElSMRpo4IrjFoae/97E8n9rop4fh + YqE6CZMPzwbOp9Vu1muNS22bAEoruyAEKpYMtRSGQJ4y0C12RT758fIA7zaSaXCM2mrQix1BTUFi + 6qZ97dPl81zC4+NQjLOgTL6yKxegeT2n2uJSdnxflCUcvTKhoVhUPntPPIPlk6fUGjauv1Qd4QQ6 + SGlIv5dXzh6kDyAJ4y3V5WXbzfoTg0xHFILdRz4/SYYAq7CZyOKlxf5wzT0P6ZPmYGdLhZxFD+kL + vi5c6O5mHnJxrYUZGK2+xGG5Q2i8F08GiwMZiYREzCcz1BhKK7MgTVWr6LvivAZsqi122/rJKb0+ + AV774EIWfCIG1bACiiKNI93cijrp07hWIL0cl9Rta50v8/Qx+8mjES6cr1qNjrQn4Pjnmoy6afoS + 1p4nkAxLDtnbrji3j98JlTwY8Pad7bvRfSxLqKNXRt7665Ezi14tqBs/ptpHdPLRr04O7BafnHzt + p8FXzwXuf3pFdSfe5qvISjXwnWCkG4l0nOP8FUOjbgu6vbTHTlpx3oD4ELJwYtTy+W5rS4D2LKDB + 8m3zIVZBhFKFhG4vjeaPuDln8LYX6S+fdYSlXggPZxURdc4r3HhfMtjr1gNv3zkkPauxhqTrQgyh + GYWu36/QDfwq39GNblHOC3xgsFt0Of79PNysJILjK43wRjdffvelXYRuG3cinDDN59x/ftXZP5GR + Aq7Y7++vNTsP5fWxRgxLjgMguwb21jcrYVkyiRCdZBPjemHn/Of/hg27YZ3om4q/e+hhym2Fes8H + RZzYjQM1k0IcFn6T92SXOeg29iY+SHuzmxpgDmr20OMt+hqVWFHFg36svuG0KVufNUUaIGJzH2+u + Zs4ZOu8dhFbXjLrvgCZ0jUdprWgrSt7j0vPZc/vZKgesXbBnV6SjjCs3OG/Cb7g63pfdKNNMgn5j + LUPQFh1nV20Vw5vbHt5k56DjovTR4R5vMbWE593nOfa26OajC6nP+JxMU6aWirpro1Ca65kLwk1E + laL41LH0dNYLVAC55iRE6QoZJDGkGGb/STVjkRisZvcnGpdZT0N2ORmjlq0Yki6NGTbCc+EPHxyc + EL3ZZxo09GOww7qZEAyRRRNXl/MRozBCC/oaqE5Pbz6ejoMOz7s1YkMQlIqYoTapl0E3qBb5ckJj + 7hHg0vpAg0mpkvETrlvwhd2NrNYo6PjRawO4xPEVB2OVoUksjBu8/HFJg/DWJ0zrTAXy7U4h5ds2 + UK9095ui7sYGh7vDlA+qcxFQ06/aub7fiFsL5wlOJE1hJwVbProP9Yle1sXC9jBejQFH8g2hvrmS + lbNZIBK0k6Oa7k6Y+3fmT886mOAe717ha4cbPnZRFiFjSELqre+j8We9g88RU3P2m3y8+w0cDs2e + znm6m/fTBbJ13obvp+rnLLzLLcCkHqk5tqib3qon/Xke2U6fCTu/XQviy/VC7Wzl8FV1GGU04uKD + 5/rKye5wFYBczwYOjM7MJw+GSZnzNqkqwZjXy7+h/lEs6E643nJato4D9CIKNA8uWTWESiv/8V9b + 4dz6bFyPnuq+8YcG11Pnk5+/+dXrcWgagxn6haCcnr/kk5K0Y8JWVyBZ30rs08zpxs9a1pWuJB2R + s/3DH3VrvEG1FVyy3rpS1y5BucBDNHo858+cHfBFUL8vxyQ3sTD81f19b9BzkUXYnvPygF+KBnWz + fWObO2Y11a+sh22C9zN/+XavjFwuKBenXbhsd63BT8t1BInRiaSc/R5/nYYQ5nz2J++yYeXVUOfx + kWoPGlUsWW8uaNZvMto3w+fVBxUI55lH3dlvfqy7BX/6n/ldPzr2TL9fOJVrH3ua9M0JeqAIDLvt + wum9jwyO9gsRefbDoc7gH/MOoHui00kL6TaFnHO0X0lgR9aNauZlTKazFXuweGkRtU7buGL6OY6R + vBC2dE9Rjfic1xRnTN7UmdeTl+ohg30g2jjn9zIhK14qYB/zJ+nmfDmZ61RC5kL7Ymf2m6PJVUnZ + fe0q5Brq/BEVQY30ff8JVbJfJ1/98SDA94b6hydN9SvukdKpd2qpgZEvl70koMLLWFiFacmJaLsy + /PxQewpvaGrioIDuJaf4YhyXOVsJuY4+7qnD+nbXd81PT/uGXrBzftlJXxyTG9pelYCa6elgDG3V + luBdbS3kYVqicYAxRu940Oi5iGxfXHdbhmxWtNRcDknORYkT2ZMdC6c6u+REf3zmvMka8sWf0Zi4 + FbZgisn258+TnqO6gPbmYBpY6aGbdgcjgsDdsBDt2Y7z5TMQoWZiiItXrvPp9vCfKCp27s9/d4N5 + g0iJCu+G7bl/j17ABdilwo585/zR1dqRIP+KFnP9OYa0rfSDujklabje2o9Zz5YzX7ztQxb5l3wq + 7l8Zzf2JTO89MxiWYglWax6G4/y+P2K/b6BmizpcHbz6lxdDWBnrFdXdxqtYV7YXNOczIufNZExW + /QWkSG1O95Fa8SkxuhrYdpORUeBGJXnvOlTPj1qk2+jR5lN0GiV15gXhJI6oG6cvA9UM054I19uD + d6N3IFB4B5Pqh3SsyNUDDZkL/UtUIW/5+Lj5mfLyqUfUdhVVXF6LoKw1Mw/F+4H6U0IeoG4sz8D2 + 9SUbPH1eDrCqdycafEUNDbM9h8cFoXAZt1vEkvBIgAr3B7Vq2CcMzpUE7+EFISQrL2+/9+y2tr13 + RBg6JNWsxx76+S1brNY5zysmQMW8F/bfJ9QNdlnIKKfHL9XetsGnyUQCRJvDjqZ382lw6/B+wpgd + G2xnq5b/4X++kxRkMfvPXjDk8FeP1K5Pn6p/T22PrAUTwilIsN/7PG0Q32/UcIxUA4n/5rsQkZX+ + eiTs3jNFdQNTpptvte/47M+UYF0bNI1BTWa9iKG6L01qCGD64s79OHBCQ4E3qWHlS+nCvnDSqg12 + lO+R9/Pzw3nl9fP+9X1Ff4gXJNfqlwjhe4c4QFcidNZf5FncxZkHXCIQxLtKnqvim/Bf3tZBTEPy + VZ85Sae1B+FSjMPULGKfwVl4gjEc11gzU/Dbj9j0kB8Kgo1aW1cf46qBeluZIv69n9frcT4orfPR + qaFH8G/e3BRMDRHjFuL32D+tZ76LtUPEjHH2G9JyuB2w6T31hK+qoUD34HkiBqZQTW9VF0FWbqsf + z/C72LnrkDmKQyQj4JwxvCtAxlFOrerpJP3jQjPUCmX6h09MVz/sUe0JElmWtlmxVL3U8PhYW7IK + trrfmsZ4gup1SH78qxuteygAW4sW1s+m7//67Z/8PfPXTpr7J0jVXSfsVz+LGsofj6au2Cuom3ka + 1Ki9451wFZJBuLUFWg7FAe8FXlVDYZoHdH+TiYb9qayYlLgCmnJTCZX9ZlutfvOIq3QssZc6I5/e + 7SaGqMAuEd95kTDfyUPgp9udbpzVY+a1qEQvODnYPnHEPwprGbyadUOdgHfJoGULpnBNeVN84M/8 + N+9ATnP54kI/APoIXOyR/M0CbCbqkvOZF8L6WLc0RenCaFmosD/+QZ/5FnPyRwHbZA8hq4ujP/kq + 6n9+IXQX18AQ9c21UJJKacm0ecSc//LQrl4v6SZYS0jcDp8J/fivOTSN3/mXXofMuDc4nPlSP/sL + 6E+1Tsq6WBrMTM0a/fqzsyVJR9oky8B5eHscqOToz/lcUbbO4YC32tHIV+4mrEHcNBGBhnE0GlcH + lFmfZn3edFJ/cgACg/TUmf3TpD8ePVyGLaG64oaIC4eNDhixA92Wvd4xvXcd1Dp0IMv0JPojXLOn + 8hqbJ3Y/8sfnZat5MPPqUL1tP9XwVa4ZTOXLmedPFmKrT+3AqWtHnOgR+OTnTzVW+3T/wX4+5ylJ + yRV7Tz1p6qt5PnBShuK5xfrqejQYrT5fpCahizfCjN9bIZp+/o9iA3/4tB/cE0QngYW5rIj+OPsd + qI/cwcHwjPyPlq0maPZCj52kpB2Lq6BGxXGnk8U62s75QLeU62ja1F+VnTEii51geVZtukUdybka + 8y0s7rczEa73vuKFohWqVQsD9mRP88f3c4gAzquaeroXzfVctLA4jAV2kFD4fbxjJ2hbeBCaFOuK + BbeLDuLTZuEoGqpPjsxrQN9clyHdIKOT1CqRoYxRSJamW+djBIfwl7foL39NUYcy5MmeRcNsav0x + joUbXLX8hrV95Xej5bYamnkD3bbTyx9+/ekqncu5/25yeo/9A4oe/fnHr7thy6NCLa+NG66LtO3G + 1yNo0ft6a6hbl0f02fLLDdbHLiFSsayNmTdK6uLQj+GkL1ODv89tsX7twwsZZ77In5+SqUIiXGlg + bo1q7t8efG6LkMgCefKpPzUnMOKqJd0VtcYoZ/tY7cxaoZ7se1wygtJZR5vTDlvm+pJMou0q6Fef + IVRR0gXGt0BsrYy/+VMyfioewOyPqaNvsLFyjmqB2o8RkLfe9P48Pwih32ge3uUXjP5PXoquVFuk + XT5xppxgsZAehNdaWnUIIlE9WxXBZrM8VKPJKweyhJuhiB3PZ6/xVUAqfw7YWe7PvDe3gQ5YqptQ + bdxNMpHzo4GZXxLhq+o5n+dFkF7Oy1BqcIC60dM18K5uR81XWVVsfZSf6MejgzS++YNmXkR47fcG + GUnrJivuqwfASFoQceZ5/IYeFkTQCdT8Kn3yxy8HnzMmj/dSTyYbwxYeQv8mi4Xa5hTnQ/Tj51if + jD5nV20RwQYsk1o37+jT2X/DPM/FV9vmxteFZAs/Hp1lhewTlr5rNBTllrR+tjOmOko96CF4EcmU + dx3f7B0FudD6GC/9Ph82OdfgN8/ieLCNqVLcBk3m/Yx3JCLV6PjJQaVr7ITo7HaIsUo8/Pgt1vf9 + YEzPUC5/eTvc2/cBsTo3YiDyxcU3c2ca/95/95NLjTS85sw29wJMaJ747C5OsnSlhQWa1zrUre++ + wcgudpSfnwnk49lv5/wLsz+merhwqlFh7fRnnjPzLDTKdCgVp7keKZ7ucdVmySSBG9gy3jHhyvk8 + n4fVwdLIyoxffDxpEQO0F1dkCg4p50pT6CDT9kVT81pwEn5jBvqefKh2/V449S+1rv79OxXwn//4 + 66//9Tth0LTX22s+GDDcxuGf/31U4J/ZNfunKEr/pNKfkwikz8rb3//69yGEvz9d23yG/z209e3d + //2vv5boz3GDv4d2yF7/7/V/zN/2n//4LwAAAP//AwDEQCFy4yAAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c6b14ed20a63-AMS + - 7c965f8d1a601ca2-AMS Connection: - keep-alive Content-Encoding: @@ -1666,7 +1665,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:21 GMT + - Thu, 18 May 2023 19:05:43 GMT Server: - cloudflare access-control-allow-origin: @@ -1676,7 +1675,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '314' + - '113' openai-version: - '2020-10-01' strict-transport-security: @@ -1688,7 +1687,7 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 029615be347c457dc622d5cba74fd16c + - 8661336356ef48d82e1565d3fcae73e0 status: code: 200 message: OK @@ -1824,7 +1823,7 @@ interactions: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c6b449420a63-AMS + - 7c965f8f0db91ca2-AMS Connection: - keep-alive Content-Encoding: @@ -1832,7 +1831,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:21 GMT + - Thu, 18 May 2023 19:05:43 GMT Server: - cloudflare access-control-allow-origin: @@ -1842,7 +1841,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '43' + - '126' openai-version: - '2020-10-01' strict-transport-security: @@ -1854,7 +1853,7 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - b475a6d4351497acecc4ae68009ea3db + - 770cfc634282f7d300e1c0e1a63f4cf6 status: code: 200 message: OK @@ -1877,120 +1876,121 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1RWy9KyShLcz1N88W+ZCBGFLs5OBFEudiMo4qy4iaCgXLqBnpef+DwRMzGbXlTX - oqqyMiv//Y+fnz/vpMrT4c9fP39eZT/8+edvLIuH+M9fP//6x8/Pz8+/v+//ZeZ1kmdZ2RTf9O9n - 2WT59OevH/G/kf8l/fXzJ/GGO3Efz0fQwOcawafJlxReGk5mc+E/IfPrkS4KnnTTcBgwCqviwQws - 19WsrDeuGpWFzbLkZFTzYyn6yriT3sR8dKjiw9l6osi57rDAxNmZfetCYQmhQoV8O+r0pC5sNMvG - xA73SQzojosm5B+6ZjiHwuGlcHaBld6TJOP25Ux+vPbBVp0OK25DkgGxtETT0LmUbjPgk+RtPVD6 - pGCWJVU8SW2hh3rWCmLWo191+qT5sLq8ArLZfXrUslcUKye1o8wYmIf6/H48QKlHlLiLi5gMxVoR - EV0fV8zslYKzCJQDlOedTSXZo4i+e6dG+mOjkd2pnfV5S71a5dT84JW33OrTLHsC9E4eMlfLbGdy - gn0O4tTMw1xin0/ELTbgNzQh7lWXHFqs5RE251uDJ83SAq5USAGMbBWjx8D49BblCG6aHtOVs/XQ - 8sh4r1pyWxF342YOI+wlgdZVjNiX3kza0pXDL554cSuNSvwojx7CTF/T2bneunF8xQU8vHrLXKi1 - atXtphC2QeIxHRCuqB06a9iET842RXd05nu+8KFetgUVerpNhqbqWnjVL4Szabvir/24aKGR0Ybs - 7XPIB3ewBLgwb8MsFanOsLdnF0wpjpnj7nXULmJvq04l1TDXEkWfOU/XMMvmRD8foun9JvN6KK7+ - wOxQrxIaVBFG2nTa0IX4NLgYXJEIEs90LCwbPejj06ZFVxmdCG587PAszFz07bfQ8hca54EXqNkb - ZxLKjYPGJjIxEGd1Y24yefpU91EEjyO9UdkFzlnWFjkc4kagr8t+offLfXuGgNsb+oRE13nbCaM8 - gncmemssAyaYOkXJVumIKXuYf754CwLFxNmpy2oyJj1GByrHxLhPUTXvvXcMSK9fWK5SxtluXBbI - 3Q1vYgyuirhvpW+Y2H5DDquwqaYTOc3oJZRXtms8wRkWm/yJBsmuGFlJbcWk6GGDt1rEZL/HNR/O - n02p6oIk4pW3fzs0pC0oRt1fmCaDWHVcdgxAYXqki3M2dFQ0SrqYT/LANlfhwTu33Ybq225SPN8P - W76CFYoUQegxscuRJhQVqxzEcxGynRIMAU8OLiCqeh0hAQuC8d5WLZCcacTMVlM3o+WWKr/90qft - 9N3Uqn4Ejzxe0kWrfipKhO0a4oNVkqMUPPn8FtdnuMTwxCvVbwJuhbaEPk26JNlHrxG9dJOL8vWi - IPprWAdjvO1biMQ2JvhiMZ0fG1cEVTvELFu4OzSJ+4cH+HIb8Ip3rjMevLJE9dj05Li7l9VcarEI - 1rUI2NWBglPrpkXg4Ncdi0l9qkb2jjZgF4ZHTDVZcio/HHeV4SDA78XaqSZvecfKkhYm0eTXtZN2 - 1JUUN3U9lq6GIunzZlKgfoLBdC2J9cmdJ6x61UegshETNK1zv4S6nNfkOL1svnpXlxHQ1p4Ilo0x - 6XjbGCAWlsBM4fLiY7U3XGhu7pOZ8fTovvWqr+sloIvtmSaD9lq3oCTMwOsP67tBukwF2KrVEdd0 - DJ2ploWhSoSWCr98mZ+mEALyV0fi2He5mi9Tkau3zjCZk74jzoez9oSVFqzIITo31fCOJQX4R1vi - 5SIyAunLXym/28xND8dgysNriH71jeEDfzjtLMWRIofbkTnirXQGpeYlqqz9ln7iTYJ4REMblRoo - ZI+kQJ/KeSGhw7EsqRUrHR/3wXsLeXQyGKETr4Z4QbcgvtwZy/edj3jg4ghF2B2w5PJP17wyxfvO - h+DbOXTGsONn9dVixPZkbBEPu2cM/q528GTUOBkT7NioZs6KrjRy559LFvrQxqcH09X9sxqTQIkg - uO0CLPFM7YZo9zCgzZQHITSWqmFIxxwutndgGNZxMtTRzoby2tvkanecz4Yk13BIJ5sR1lVVi+qa - ooUYV8Ro/YqP7rgpQDj4JTtQUa+m0t60KuLVh77T7lmNN+cUwcN7bkl+rlOH6+XLh7flvPF8sxLO - ooNH0Rdfy4UAcV0aC7W4iDJ+DmxEPEvdFGVUZWR/21jOOL0NH6q+M4nu7d2AKyyOoPbNlO2GehvM - lyzD332ggzveKoqW2x4lcnhlO3lUgsn3nUIpDtsdHb/6+tCKXi3kSGXZRzf5+HR5Dn1/mAkeZSuY - 702/RcMr3bNsiHU0669KgmsSaUwPjqA3ovFooRZxT5uH3DpVpxoFCG9BwII3z3rvx/IZzo68wKoU - GGjpJKILmnC7kgManr/66sRKGiacGa/nB82vYhTR0oYtM+XG4b/9uBDPmDD9UU7B3DDLRMlKqYhh - XstqBHZ5orere8TQPodq3m2jA3xqXfv7vo60LEZVCPch0TPaBLz+RCOQOTCpOGc2n+KDL6nK4nT4 - m6/ceJ9LwIEqE2uadvpz2xUAsrcAcvyd55SV2hNZyLxiOAl3h9F7YYL3pjPbJWKhs+CktnB7uzn7 - xSfhJ9e34XnPZnY4ckjaV2LVoD5pTofkrXXjGAoF+vVreJ12Rscf2m1G50BKqeIJfTItBUjhFQsB - sYTl4Mx0R99Ara1Dhb0T8mnsDj3IGjvTdnSCarbsIQJQugmrw1RwnoRvAZrrPP7ywahGUeMGmj+S - RTYZLpyh4PoTjg/nSNvzLCVc+VQ2ivpBpZHCz9V4pYOJfvGjyv560vsmU3PU1XlO3NbcBSxJPRdS - e3bo+pjeA57e4h6pq9pktiwY3fid3y7aHb9+rhvT18GGZYtMWlD/rf/yOVK/93V3WcpOr9TiE0L3 - mmLk+TafLUOwoc3WD1rMGdEH9Hn5sEimlthHexvMzrBRoDDrEzNWpcaHuo9i4CP4LEX2kPzeHxEo - 3ejMfeZJMC5l7CF19TSZpewDnc+weaqfc3Mk28v6yefHEjw4jFdC3CIQE6aqbQvffTxYizl4P6OT - AGXoh3/7q6lYzyKyoHDIqXrTgJ+z1Faw6ezI18/28kcxv36LnqrTFExKjUoollyl68W6q+Z4d/Zh - ZZ47RtK3WM2ornuQZo0wvGyqhJuQbtB1fc+w0uSHYOzxx4M0VRKmDbXZLc3DJkWh6KrsIKXXjjrN - rUWOrwAV77rQ/epfDPkiPbDfe5uMq+QjAp9jk2n+0UqWya2owV9HK6wKn5lPTgIuqNsaY07g5Uwc - 7H7t3VKbHA+vuev9eApBKzcR2V32C4enQZfDR2Mv3K2Prr5UomsJ29MipStW7PRZT1cm6KP3IUQ8 - NnxyApIq1ttlxOqEgHfv1WcLzlJ38eqzRk6f3y4K8l77mU65ck4mJcczOl88j93kUXIo1g4pJHXO - qOYfP8lwbN0c3Z+pRtul11bTTlLeYLrXAS+CKAy4v2nW6IK6zVc/9Sla7bboujdf7JiXqBvbzWmD - CKcK0x3c6bzdbA04V3uDmUS+BXNQRa4yRr3Hboto48wYnWywLtc9NY92XXH+XEiIq9cT/dY/Astq - RTrq4df/BtN0Yxhlj1XEdpJUJLSJVVFxmv8AAAD//0yayQ6DOLaG9/UUpdpGpRAmm94xhTl2EjIh - XV1BRgiEMNhgS/3uLUip1VsWDOYM//+dE10ojg0lptHrWMFvHCY0OKV6PEafPYHX1OQ0zLcmFxS8 - fEO89URCXOKDfus3T7AvX5gsPisjFIZryeAN7WLEyxOIycKKda1Y2Co+Tv6md+HdA8PR3RLNHuuW - Vvi0B9VQdiR31agdPRcSaGXbgfp2SvkY3UsI1svtDjtCeOYdZlUOeIYNNNiXJW9Ln5qwHg2fhHjD - W8aGwgOg7Fbos64g6PpdpkN87w2yzG2v5aut5/38oDmopcVO6YOAKT4waigIOwGGA2ztA8Lz/Xqr - fKtwJfcq3XRPDmooB6ef3rlP/YQdx/r684ebThpAbeyqO9RPFcemto3DUdPzA/RrRLGxQmk7fLrk - DpdP16WbtbduJSeQHajtRBEbgqS1zVJ7LGY9jB9JbresC1+Ndnqdj4SF+rVlVhvb2lS/EbjWMmeb - 7HOBV3u5RBdW9y2TLnkEv3o8ktZFeVHO+uKeXrd4txOjuAeFaMK3WEtoWDsJL7Fh5GAd7BO6GQ43 - PgbbWwcmf43U5LmN6at3rvJUT+isn0bz8PB+/X8zmhLoXjJXYftYrujm82HFMOfjZnX/Yvvgv/lY - ROwC36uNhU3nu2z792WrQslWJey9Nl7bFXiAUKrvgDTeOoxXHJoERgG7Em1oU0D2tycE54/1xboo - dBbXBE2Gsi9xpHTPi0X0p3eCZ9cu8e4ErIzrnpjDwdzUCJBq4L3x9FNoBKsYLdpvG9L3MfnVa2qO - uzzkh1YOoI3cK7UwXIeitGcQxm77oOF1lwGmSfAOv3K4Q+/JT0313wOhJAtE0as16P04RtBG6yv1 - PaTwsaZmAKb6RKQQPsEvP9Wn+UIciFJG+VsS4OTvCXBa3M75AnI5rQh3nqPVCEoUwNaUU7zZX6xi - COLrFlzpYE16Omn72R/bwstHshN62eqkeTqMOrVD4uRHW/HyDeDkJ8lY7HZx728KCMKivPz8rdSo - KQOZcZewfvG/1nA4iIf5/OhmNYy8V7uGgXBlRGiwKeRfttQR3K49QgRj3xbsIoUQXB7NC+vx9gNY - jKMFzPHYUyy83z/9DcPDaZjiYd8y7j4jDXxUA9tjkYKRlWsC69fwQurdFOL+c8QN/Gi5/o9+ZTxn - 8EaW9OcnmefyWnt/LphiKT6334iNETzthTWKtfurGAVD1Wc9hnh7NLNJn97VsG4iuvbblzVkyPKg - vnstsR5/3pzvznIDNvfdG+upDMD4ttc1vLtVTUNi3Xiv0HoPy9qg1N4sT8X4tje1urC/OVoUrhty - le5T4MYPEQlB/m3Z9Zps4YuKX2qZnWux0xMtwHIrPib+QQryxq0DJTt8IGHKh25oDTbrZcLNY2NR - 1r8r2BteS81d0AByTeIBGjSgkx8P2jFsLpEK3rFBVmhTWiSPxhNQx/uRLEl6avm6fOggZRHGZrS0 - QKe+NifVXBVP8n4lORhXotup57JcYStfvzMebO4O7A9mTNHuuLY61Gxy9enpa3rzIG4HzEgOhNjJ - qZUUeiZaZSuCr74bcbVafwCR8eoK2Xs84gcG33jiA0/46ewIoxQ5IbPrWwVsg9yIMuVD6Z0uBHKg - 3IjyqEtAyG7jwfV6U5JV/WqzsQtzovVSdSa57ZhAqL8ZhPN5S8tGC+vwhEwA+OuL9ZcZWMOlpRWY - eYguhd/5PA5giNsrdT4uLn56fAxziIM82WVs6JUU+BUD2FiNm5avW2cL6W3p4qmegYHxZgCZcjhj - f280oPVszYH3TLaxkZN7xvcHEMDcSgme9f8Q7+0Kzv5OCHK/IHZODnDSA9jCyd7iTYWfc39Fq12z - D0dXrGTYj2uK9TJxrdXW4nu4PWQn7CbnyqrGx/EC8f5g0m0qZ4DRcntR5ng/adkKFDYHOlDAoGMX - giZmJBlVbc4390YKayiOdfSL75m3DfJHP2nNBq2RVH3e4Tjrz6mfIPVeupkkHYsaBpmV/fgZl4J1 - APVdscT+idpAuG6hCiZ+SpZSfC44g94bWE1xocaxOcVTvZeBEygKDZPzC4yfo1tD58ZfRPB315a+ - jB3TbDnwqUnAjX/sx2eAJCEfJJu6kbH9PrjDdh+a8/2y7raRLoBY2pnq5WCH/aSvVG3kKlrpuA/p - C+RXVdlqEKPC/YRM33UHkJf5Yq7/IZv5UbWqnwRMPIA0aizM/ZtuX2YQ0ke/j8CnqS/YP64OYFAr - WMFP/YiIKvfnYky9VIDqzZPRyvdQ2FyTmMFxyFfYjj96IRW4MWGUWjbGUiO0AzaCn9/CofZ9huPk - 19X9+h3SmZdybCmecsLwio1FQ4q6JdIVrIKFSVZ3dQjHs2o+YWuqKXpCu8n6PPAa6OTOAnvk5rT1 - /S2k8LENSoqdNsxAHx4EKG8PV+ovoyCceRfYy6lEVOXjFpzmiQjCcnhTl2DZIp7yeIN656ypfz9f - wEATaEKj0wrsdz4IqZFGe8jDRYL95UW3mBso3swTcPBxw3gwy5EoM58EDXPAeNJ0HfKEb8hKSbR4 - iM9AVGQvWZLFENKMl/t4UFdrgLA16T2WeAlTu/B6otdlN2bD/hg4AOTrFXozweWjnqYeKJLxji3w - UGPeea0NT4+Njaf/b632e+sJ75UrU92mVzDcYtKA3bineP3uX9mwFgEB7yf4IHD4unyAVq2C9qg3 - 5BcP8rHrwN4OzgTGuAtJZp4YVMm7w6h15JBJ9n0BPxIVqDOQAPAjeclw9pcCtB2LD/1wUu8naUvd - RP9ahOU4UMO9DDGGtAVE01oC37Jg4aCIjXg4S4kId1RQqe97Phf1p37SiK+H1NQ+Q9it6zOBanS/ - 0kkf8jExiwpI4FCQT779WONUP0FEDk+K0rIImQ2fAqRjEWHTdnIwRvcegle0LXH8Xi7ipozKCurd - ycJRcGrDwX8NWxi73wc+TO9PtrrQQWYLO7yb4o+ZD1hBh+cMZfF7KEZbGTzwjf0EG4b/mv/XAN/5 - OaO+XpWAxWlx1ZrLqscR6j1LPAn7CCBYjUike7GgXyLs5+/Bm8+Ctqvj+WNCxfI9xKf3m+Yne+1Z - vY7YpKseNAs0Pmc/gUZkmrEUO+cAfi15pMbnesn6ld2yH391+O1WDCXuIzEdDIsGq23QDgqW3iCT - 5IL6qQ44ycw7A96jZnSzu8ctWxNbgOj8VqixedCYCUrkzf4VvZHitHytNFvwbCsfveoXbYd05zWQ - GZsd0fy4a+f8hX15d5F89ca2t1LnAtdD51Cnjirw1Q+NCpebhYh1dRlbY7G4n2Z+ikQupC2P0zyF - Byl9YjyYTz4kEnLgtfMtpLgSLH7+H/NORfdQ2fIvUy4LmDgOojYTXDDVFx0UC0el68yprK7REx1m - OG6wY+/WrdR5haPNfEqXQj8cl4evCFi1eOH1iX5DliBD11Qm+3SvfbZhlyXfBn7gUFOb3RrO0ds9 - wPCDLmSlNkEmwJUtwvfjwdAiRVVIT0Li/fQmqsBo8fJimTBg6EkRvR0tvkDyFfDm8cV63dxDbpY5 - 086KsiPSxP9G6bU1NeexOeJQ21shf77oAtrsqJHh8qxCceEHWxiqjo7YYXEAtLyEpnr3zSuN1E8a - cyG4qFAo2IJupvkfr7sgh8lqp87zipZj/3kBKL2+aHS2TiHjhgyhlEQxNmvDtgjsbhBM+hS7RGMW - iQ8CUia+O/vPjAeZasO32EhUf1QrzqCqLGCGdw22BlQU48xnlfP9TSb+y1fTfFABeqfRjWcu20HT - iwtsSKURgXx1IE7zJuWrnm507XYJ4EMZVrD07Jba4hL90186ryJoPO+fMVseagYPu3aLTf6VOOPG - sIC9QCiNSoPEFH3FCn46J8KbZWECttr6kTr7Cb03QNjyhjpKPJIIH/cGDcdP0dYw+TZ7isOkjLt4 - b7/hhaOKsPa+BdKxCFN42G6uNOj0rmCecq5ARRWMHawoWY8N/6mEVnPAofn02rFb8yuES1Ji06sd - LibIN2FMhALHji9Y/BosiHqTDzrFpcwKmsvvxcx3sP187IEYfnYNlO/yZ+qvAq+V7GRD9VvI2Lyn - NZj9NhDEupp4G2t//S6ydwJZysDg3HXVCgDTG6n9vcSg2Xw2KjwunjUNPF5mfQKFLTx/jO80z7qB - r3o5P2Hx3Lr46HYKGItITcHUP6knndx24o8E0qiIiTDx1xGt8sXM3+bvj78zX2z1HhEaU54R0b3e - YRE8RfzTHykKHDjxIGpNfm1MlQUD0zyFhtFd52MhUxvIL13G8TRvJMW+fmtjtBhIt5dxyDIP6eqU - Pz9e11qi/IScXRxq7MQu44WvDnDiF6SNQd9OPBRCZuAdNXcvF4w7nDCooeUGiccuaIl4lO8Q98sv - Ks7vxOLO2hOggxc9RvLrFpdW2am/+WgYv7fFcFmqImyeLJj5cCt24beGU39G8lpoMzbNm6GU1i7G - eIPjMQkvB3hi3EcQBUdr+FxQBLqULGY/wim2lABexoFR10UOGEmiLmB+cAPEFO6E/LniSPtr3gr4 - 9x9//vl/84ZBVd/u5bQY0N/H/u//rgr8nd7SvwVB/JuKv00E0qXP+1//+mcJ4a9vW1ff/v/7+n3/ - dH/960/42zb4q6/7tPyfy39Mz/r3H/8BAAD//wMAmTbNp+EgAAA= + H4sIAAAAAAAAA1RXS9OqvJaen1+xa0/pKhGRhG/GHQRM0ChCjwAVARG5JEDOn+9631PVXT3JYGUl + VVn13PLvf/3587fL60cx/f3nz993NU5//+unds+m7O8/f/77X3/+/Pnz79/1/3U+2vxxv1ef8rf9 + d7P63B/L33/+iP9b+b+mf/78Haz7EztVVPKGOp8CjqGzo+IUooBfyXmE2jWjFD7Oeb6G32MMRD6+ + 2KGCbT2/Bi1Ub8bosxtHFl/LL6fK9St8sDfNoF6Hat+Ao/n0kPQO13wJ/DeF+cFXKM+z2ZwQoQLQ + o3FhR5OINT2UlgODgMpMD7dlsIbHSwQ1K2rwjaMGrODYneH+jCfEXyrKRy+AMWiePKK1LEK+QHy+ + wHlkJQukncuLYKYdlO2lxF6iXMwhPb5iuJzsMw4OzRj0GfQcJT9uKEPPLhqYcphCaBuXCdskE/Px + cshE8NnaO2bd/ZKM3iXzINcWhy7SiwXsvuY9SO+jhs1ot5rzKmmtqvfKF21CzTDntlgMeCVGzDQF + HMAcVbcHpFg7I68/n/lq5poGB9EosHe+bQGrr6kI7536Rjt40clSPAIFena2QaseMz6n5reA3vTM + qISrCIhzYY7qkEo1Du5ykTNfshUYBjuGce3aQfdy9jEEDyQhNdOtWhSM0wwfOd7T+ZqkOQeKUsKW + GTqzglUnktvoZ6ju3IhhGWPCDJCLsH8XK7OEJgRz2W0QRLlT0rm1jXxshqGHpXSc0dm0RbN5apjC + q8M07CpFwqk67QUYbdiGLlWs5iNMqxBOjZQx7ed8b+aaoSbJskGqsN/zddeOMiSlA+go2xqnVIw6 + eNPaiXklr/NpPCUZSHm3oTsttLjYJUCEH0vVkJJbpsmAGWXgE4ATdtUXyuejOllgGGuFsgm+AQ8+ + JAIjCi/4KggBWEpDOsP2xVIWxlVkrtfWSyCUhJQKlHHODkP0gILjqpQGd4Ez08susDhIOm2fk1Ev + y0OJ9r/3BbfdllDf4z3Y9MaAvVuA616QPxk0BQFhI2HbesFfEwFvumfYat2kXv1tF8M0b2sE42o2 + 2f27FUHY6h0OQKUOS/wsOgjYTcNOd/rw5UkWBdx3WcKC/CoETD3TAsTsUbHjNusJi8uTDzUxz7H2 + Edt6YkJZqV3Ti0gJ8m6gSpHJyjOUCdOZMPMu4rkFv2MUUlkFUz41dkU3XpOODI/HVz1MdyNWoZsX + CPTE4NvTSZmVZnM5YjxldJiO/S6Dn1MUM6NxpnoWrpMGLpdixL4VE8LvK+mhNzMDm46x5Ks6LcKv + PtAJ9ePAs+85gerTEOk2e345k5pVhF/z+8IhWhu+cj9J4HGWO7SOyofMnepTkFblFj+mqgXUP50K + INu8xH6kyGSe/LGHcynk2F++zFzRCcrwIF8yFiUbJ1iz2xJCoB5rtO4f4Q/+1wrw/WbAppJV9fLz + PmjsC8Ju8PIi47g7XWCtHz9I6O8nMj9UWYMOsDB2P9dtTfGDX3bLyT2jtyAEfA5m2iu5dXGw9gS3 + XLSVO1LeShexm3Ev81Ha6BIMHNli5ntKa26OL6RqjgroqscYLKipWng/CDLGSunzXQbfHdQjuuDA + 1CfQdaNrQXg9bViAkjdft5X1H31k3hC/cnq39URtnktEd+cnDaj97HqofHc22gvXMWfdcCphs9uO + 2N6UpknxJ/UhgqinclejYb14KIYKHkJs18KeLOm9fKid3bnsP3g9Cq8GQvbcYb/gn3pCpBWgc0i3 + aEGNRbZOAmWIEPcZvs1Hc+5G1wH87uTMnZ7l8K1031KESzUzZ6NUAXNPpAUL3rh0EOwccN13KnDf + RgAHwoeYPBOxBKbpJlO9zgb+M38DTsnLYiZ9cUIbRB34eBYczUp6HuY1QSXwUDGh7bedgla+KRHE + TlJjT03jYNZGflGtuwCYldk9WNq3mMFUkHy0rgAFa38FPnBnE1AlUhLy/dWHS3oqmfXYN/XqbpQL + tPzpgqSQCcEkOycLOqvxwsankUx6bbUMBmvoMo0Z2cBYavtwmCwfE3ThnF933xY+Vd1n4baq6u+4 + kxTwsvoaO9tbY87FVSuhYTsVO+LQ5Gttzr36Nsw37UjekOUa6gksDqKOk2NdBHOeX2MYtmaH4A4W + Nc21cgWA6AMOHhkZFiaUpcozKKB+cGawYmVMwDZ6L1gPiQcW+rXOsBYGBx+Ea0gWMfQL+HpIOUPa + YpBV1Y9nKDpEp9/cvJGJxCQBei0k7PgYFbIa9jArz+VsU2kV32D5gKhTc7FQ2eksOXx18/oBN09x + xWH4OpA5ORcOUEzZZeeUWwEfIlOB9SrrzJIGtW4lcurhV/EZfe87BVRLaDUwXGMBAb6uZDSr7wX+ + 8AXN9GaBrTRePLjl2wRr5rWp1+s+75VBYpyh6+cLZlpqMqCepbPg0ITmTPExgv2nxcyCZCFLVh0c + oCZOjd0eVmRWx20BUuUTYWfneGQOfM+DVWLq2I7le8Bpr81q+HRjfJiWD+H2NZlhmAQ2VZji16t9 + MyQ1wm8Pa1dlHmZzK7bwMG/3ONDPh7oNFA1CedoBHFpdZs6f16kDXdgmSJE2ZTCB2+zD6dRyhtxL + SahLjj1sd9adHekuDJZpqRzIn8vKcGepQ6dcDy0stJXQ6vTSh9XSaQOueKW/fj/85K8W9DJNqcjZ + GCxkDQs4A59gJ+mmnN8G1MBL3B4oWF4xn/tVHmGSgYK+m5WQtT/eL7AQPyICo/Qy+XJLBPjL38P3 + aXFeL4YMwqk6YNdpH2CUn6SBCdkEtDROUsD3Z9MA/HO+0Js8XWoeiaoPji41KJCuUT1qzb0Copc9 + cFDPVj3+5EnYzYJPN6/Xk6xcVxqwc1eHhWi1AG/bWYYxORyxu4nOA5djD8FwTzB96Y/OnB+jmKh3 + d5tjL/vK+RRQsYG77HlHiib79dI5yP/NX/SjvhAZ95v3Gbbyt8ehUxpkCa1IgSsQTv/h33ScvAym + l+7Mkh9/XBuQzTA7aCaz0zwnnIlCCOJb4jLTfBJzKfy5U60GHLFGb82PPocRbKMPxu5xEPPJeWUU + CnZpMisXmfntrZMAYdDHzP3sQvCbt4E/jgEmL5WStV9GpPzgC4elX/OxlXvnF/+0mMOlns0sqOBP + /mSamAx83tcigms39uwnv5LZnOIZGo2NWeA7db5eotEDnJsZ2rWeV8+i8g3h7dDnzFG/zrA7DFEB + jLunMjNu43wUjHQF9+0Z0O1YCcPyGPwYPob5wH7nuzzJXoYkPzvMndVDvrW/c/XLdyQiuvI5wmEI + 2aVCaEnTd7D0AFry6yb72LXTBTB0189w9xhvWH/yTbC6+fCAfU9a1PZaaG7tz6eCfRoUVH5Etrk0 + 4seASWx12HKETz1ThxVKdbJm7GZLVA8B2zvQubIAieZNAWzL3w+Aa8LpfhUu+Vyd6Ap+/Tjtciln + wEwSuHlKK0X++g2mJS4ewHD5np6h3tfcr5QOonCYEI/bmCzuubPAbd3pGMe6x+dObBQAbuc3c/gT + DMuPH4CqQgoLD8Jg/uQdCPsxN5mb4ZTM3tNtlMMnjFg6zFrOf/Pad2Bw2v/8p/hyxQKQkBnR9eCA + YP7hh2IcQMyOLK0Jd8DmDLSDmzALgycYq63aKetrTpl2TfZkDC7bFj69If3RD42sJTJ6eHg7nGm2 + bHDRe+IG3gfboO/seQAj07IOpMo7orvTWQ8k8WpL0Nt9CZrRFph0TU1NzQ+egu9PtNS0CB4hcE8m + ostr+Axjf5F6oJLt/wAAAP//TJpbD7JMsoXv51dMvlvyReXU5dwhIHKyWwURk50d8IAiiALd0J3M + f5/gO9nZt154wFVV61lVH9qVTZiLTR9+IX2HnDkXnQlx0I4D0o/GfqrHNGLeNsnQtd2YWH7uDPHj + PwgqfaTBLROt8J+8QdHH/eDCPSwD6tm5Afv12qbocfeC4UNTG5q+e5LV+VxZ/NYyHU39iuC4RDkr + 7u0cuNEQ4kRzkfcXbS5B2z10ZuFYoM9B/x4gHMiD7rOaT/PWLQCPqztxtvtF/tlBcgMzNAVZeTjK + uXriOxgjzIhH/awdu967wcHIN2wdD+tWmZ1TB9SnI//R78eSZhIcIyMhO+tot+KoPOql7bOYapvs + goSrW/ay748qHhaVKsYyUArQ/XmKO7zr28HYmzuYeJSWl+ER1X3wcGHSK4mlVyh65iUmHOaDimem + XpWvJNkfEH/w88QDN0v0w/WFlEutYz7/Hsruy4dOvZ/skIWxaAV/LDGgpfcZCJn1CurMMZJAKiKZ + 4eOal5O/yKA6ZZ+pH79KoW6fKVS2Z5JgmM1a6oaDDKcHVQj2uRfQ720HgDeyRkssB5ZsfvgXSFFf + qPCKLOjJ+DAQ3bMvMfGls0STXVXYPu8LDEGQWn1RqAncrXlFct+x8p//g9ToXxhW/hjRZvHJQNW9 + PZ5Pfo1W7vkAPz7ZHtkz4FXX+DBycmE/3p3LGQdo7fud2RrO0RBo4Q3C7SzED9NbIv7Tb6l0C8qj + 3Rr1tlr6sJr1V7ZiF63k4ZE7iCPYUy0oCyQeuxFDJJIn1seNgpianuZA3s+ejklM2nlfHykSFFcU + 7WVaNutb58Piqp6Ja9TW1I8hRG42WMRkctqyMLl/wetWNkbJ182VxG5s4A394sV6EwTfP348dgn9 + 8QZlmxLQ8qKd8HgHy5r4i6N1eVOIWZ8+lvC2SQqSldZsNemZFZbO0Wa/wnjZ7mZR82gNDHO94XQR + QVuKMgQD9dn3QQJZeSN+Ni8SPJUVZXhtvdAovR38Z75vdvjQCrzahUv1eliRn5/lB6uiv/rDw2cl + BN1tZxRskRjEqsxSjEw26R/9Lq/3PhcoKZtlYaaEOTVK2g+IRwgvii3sjOtHOYaFByAv6y1erD9m + zjfK5ak/LbxlXlAWgodj6QKzlhJZe+glJr/FUWWuKuJuSwhGI1s30A23D9uO4lp2WEkPoOzPjG1b + npTCl7eq/vhWD7x8RpuAD/EzQ8qGyHhWyJ+WV+55B8nx8GWW6m2sMUkkGT19/8bsPqQWvVe5A8H5 + nWPQ5pXFZG/FoT0xhyr36htRgFcNi3jeMtd/f1tW3Ms5+HpNmcUsvx0zJzV0nM4siqZ6ouizT9Cr + 8o90gbQk5x/jpqL0ExNiCcXOeym4+vq7t3Ja7W5lIILYNfTnZbEguNq98nFfYRPUGEcMn9R1xO70 + dtNTN1yzu0pI/uNPpOfSc8qrjFxpd4GOzltvIG+leOc0cxYvWLiPI9mjYyM6XdtdYL66bInD52sk + TuT6RJMfoMh3rKj5cpX++Idy6VAH/f29deH8Pn6owHL7ywfpUmHyg3aLp9nOi2MLEJyrHKsbY4k+ + zLuZiO77LzF3M3+af6RG3PgSEnTxR/Rmur+g3ahc2abxSMlP34+JWqcGYhRsnw9Jcj6gcGMiYvSL + bTuUerIDwww2BOtOi0Q5+irqtOJEjKpsg4/nbB2gIrXJunveWuHqgQOvlU5JGItAiGoff3/8Ov1/ + ftStExzDpM8pvztYIj6z4o8/EjvlEAj4yCo09z0j/tLYWIvatxLIHyQhlvNqyvf9UKUQF4PJ7ofs + Eoh5zQz1p/csQ7OgKN+BgX685h3lbyR2j4e+xOGnZ5vFWFp846YhzLvtjAR7GU95UJEsrV62MYrR + KxiVlXqDQHNTvDhsN7l8hbIALY9yZuqG1Q7bZeVAmorZ5DdtJD/WnYz22m1B9XFzEgOX3Rfyb1HK + cDJPRG8R0aCFc1YZCY1nMCxfpwb8Wf6ko9tdAsp2K76ceIBttt7Vep1AGcCY1TXWknTVDpaUZcDO + J5NZj/wU0ODiqOh2PSbMkxSrZeQtUX20BeCl1nWov9SPTo/HI5CgMd/5EMElRnGeLfG4mJ2QiM/v + 56+f0Bkyn0EnvEiFoDEwuxsfP2DVmV+QvbPPxNzqMRoDCjUEh9anS/l9ijhr9Tl87iBjdGlJ/nk9 + Ig5Jnc2Je3kYQqnNrwnV7G6TtXSZtyN+fV9IUviJ+BNvDfA0TP0szX3mKrqTj9+mmWuW/7pO+R0r + 21ex2aHFw1/Rxb4dAnFNni+YlU6G6cSXtLTUL+hzUyIre+XkDeztDMwhq5gvsSBHiMcd7B9pxib9 + 58PM4SnKrrJCJfW0KcXu8dHRnhcv5kClWt3bur8Q2HTN8CxKEb9EYMLu9HkRc/KDbJmHB9iE+Eym + +o44eZ9deH2WHnFf+9Di9WhwDXmZSdXp94ggNoxfnkP1620ZjfHM17XD8JCoVmcsHx5SdNHL1x0T + q/RRJCKsO/p3myYsmvI6oclnHU31jtspTxdG7rsoydY3YpcvPeJLr7Whaav1lF/YlgyFKMAbFI2t + lfWl5aNFObL2T0Z++ZQQUc6RK71feOwKNxL063I0zX+qZp8051XeFajTnicKsWgRI2+Zwu3TdL98 + Lx9/ftH1iWDOLPUR/+qm8asfunhXjsUP6oD1aR/AtvnQiF7rZrWuux0iztfogv71yDlc165NTChX + QqxHT4b0amjMHENPKHtaJEv6CQO20aUh6IxcoUAL/8o22TiU3FyXHD223Z5+TPaeeHgHyF6rBTMG + vQxELu/moERlSHy0f7bC5JKB1l1RkT0Ykmj74VjDde3bf/rVOFsbMWxOyzu5bY+bqLfaVwfT+5NY + XVHxR+/79cbGt3szlCM6DS4yF9szcUzrEfE1OnfQnWcZI6ZetUOyFZdffyFWPbrW4pM/U6Q/9Tle + tlwuu3qwD/DypQuZ/DmSldvGAXT0XDxPbpI1jjd+WPLwHBP/NOvbr6hXFzhSkWOY+FjpypMPEYaB + Bf54DugMBxTF56ggv/k7yqWcqKvTx2Re0QbBMO2TkD2GJSOHDKzO6m8cRfpOsCkfzoejsTD+PH9X + SZk1yt3FhccMKkzNwmkFVvUYvWbJFr8bj7X8V2+7XR/RxW3s8vHHmzyTN1gdFmPQ06K+wHW4bNj2 + JVd5034zHeJFLRNc6pEl3iNNYNI/VoSWtT8/AIWXFATzpCiFomIHlselg9VtCRaVdDWDO6m+OMlO + +/L7vaUSXJMDZiZiG6QEwTdE1S3R2VZpK9HVF82AWm2/xJvH63YRImEuH971RIKJX8TUj/74rzB8 + fHK+wKOxVC3bY/uHt8upHJ2/oBybzy+fFGNLNinYO+dM0czzc0W6v3SIMibj3zxmj50WQnwtMrIN + z6PF+dky4c2zgrmb59HiJk8v6Pw+fYh52d5yYd6ffPlWtjEd0dFF/Ld/mV37IzHbwETiMMwkyM7V + kiItqwMlAT+EqX/jZdxGbZdwP9F/9eDunCwaF2dXh9PmKTF/Tu1SHGr/+eOtH5+3o7IaLqjPmgfz + le8RCddsANQ4jEiwcK2SKSq20RsblBjkxKPJX8vaiS9WWJQ+ynl41G0g6ldhK/UpW7/nB0JbtsQj + izIavYfsw6ZPSjpj3kEsJv1pIY8lZnfurB3m3EphoPKScqcz0FzrDqaGHrcbc4fojMZZmtdQfC9f + Zqsr/N/5Mu07sTTpgedGw0Hs0Y6sFjNFjKf5oAN9O5StU0wjtiBJDdtGDkl4PFo/HnH179m7MDwf + dNScE6DacaWHJL+0LB+7V9tAe9APbCNZVcnIEBd/vr+oyQ4pvYoy8NLxyhxPdKV4FZsDusj9npjk + owV97r4bzd3TI3HHk5uP0FopbNd1Rfyt5AjlVn5MWKZ2SdJUn1tTPoX1Qh4MZlsat7piPJpoz3ZA + VlV+QPPLMNbw6uyahKWzsBphyDYsnFwlU/9E/KCqIdKSy5sQY8NRdzdTCqTcCzqOsWnx4/Vbo2vs + jmxdSue89eWtDmC+GhbQqspZ5MQ7OOD9hzi6eUYtXyoXYLRzSKKbGhpuiwyjW1FLzIPaDbj+Uilk + CxRRqZ65pdgtDxKEUbwneBap4jNLoxcoy96m3ygQqDPc7gaSHytT/mu3ndZlJkhxMTD8+CjtHz8v + Pw4q+/mBIa1YjLLrXCH3ha8JVoTpazlopkwbNyEB/7z6QQ+odCe+8l2gr6w0BUjD3GH4rHU5T319 + AEeVOP3D69quAbjIbM/Ch+YGnO08Dvel5WPlmwVB//NvjpcvML075ylfTNXfPpNsR3iUlX4LJRjm + ocmCINpFg3TzZdBn2CPTfqhVpPDc/PJDLDS1zXnTBzX0veqSlfwg1jhbu/Gfz+MqHK3heKE2IvQm + /XikpLasOcBxMTLjPXfa4dcPf/t43fKc4LePXP71uwr49z/++c//+V0Y1M31Vk2HAf1t7P/+v1OB + v7Nr9vd8Lv/N5D+XCLTLittf//rvEcJfn7apP/3/9s3r9u7++tc/4c+1wV9902fV/3v5H9Nn/fsf + /wEAAP//AwAtYwlH4SAAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c6b59a3f0a63-AMS + - 7c965f91294e1ca2-AMS Connection: - keep-alive Content-Encoding: @@ -1998,7 +1998,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:22 GMT + - Thu, 18 May 2023 19:05:44 GMT Server: - cloudflare access-control-allow-origin: @@ -2008,7 +2008,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '170' + - '35' openai-version: - '2020-10-01' strict-transport-security: @@ -2020,7 +2020,7 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 37cf30ebe1e928c13d7f152d942d463e + - 6440509cdec42a097537d19fdafd0e45 status: code: 200 message: OK @@ -2156,7 +2156,7 @@ interactions: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c6b7abba0a63-AMS + - 7c965f927b9b1ca2-AMS Connection: - keep-alive Content-Encoding: @@ -2164,7 +2164,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:22 GMT + - Thu, 18 May 2023 19:05:44 GMT Server: - cloudflare access-control-allow-origin: @@ -2174,7 +2174,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '81' + - '59' openai-version: - '2020-10-01' strict-transport-security: @@ -2186,7 +2186,7 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - 71cb7c54950cb34ed724fcb963cbb17b + - af79dc73b0eba5c29505b2209dc6116d status: code: 200 message: OK @@ -2209,120 +2209,120 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1R62w6yyrbm/XqKmXlLr4gI1GDecRIRsEoFUTudDigqIHKsAmpnv3tH/53d3Tcm - HBJM1RjfadR//Ouvv/6u0yK7DX//89ff77wf/v4f33v3ZEj+/uev//mvv/7666//+P3+f29mVZrd - 7/nn+Xv99zD/3LPp73/+Ev/7zv996Z+//g5y+cgcmx58Tm2zRnLe2sw+0xlNJT3qGoZYZ5vNXKF+ - OtFKzZVkz3ylDUMJurOntu9MoHKsL3n1wqsZdXo3U0YHN5Rob8ygLJWBWOs4SefGeplqH26OhITb - azEl0j5Q6XHUmCvWaUp7k3koHkqLndP7qattM6NQm2GAxVWz6+aYaRQq3fGYp44bfz7dcwle6faE - pfM+8mflMblQr8SW4Ta+W/yTGHs43yEg/nthd6JBxkyLDvqZBfan9efv/4XPU7qxwI31cHQ6JYJO - b2a8Gt9FN6vh9QjP02dF5cHCfMpqKQM6bRjZSMTmIypHD57srNKpM7f+uOwgQ9dqisi61J4+RXYs - gJ+qFvNv2tWf1qjs0XMb3/CzPy3CqdwFEmq6eGJb987RiDPd1ZYrTyDBZ3z78/QyM4WN1wPu26Dy - 2/TZAVRW4LJTaB07dt4IJVTkkRNrpRl8mjHU4HQvjTgrnyK+K1sHvFYJiYUMuRjv+2UL7uH+Js7w - GrpJ3RURtNuuoPN8962VLSAXwaZmLDlmejouzvEFhPCzZEYRzmhouqennadbRLbTfgwbJbEwADmn - ZOcpz7CdgpOrvpvMJrr89kOay8dEk3LhSlcHLoY8UgQbwqfxwWlxVTgr3nqlAfIkzM4tCweWby+w - 668rypzDmU9Q+zU6HuKe4ffu0E3mOxNR95EzErhCbM1+gUsonP0RIyt7+NQDHEPKTwaxl+UFjWja - 65pyrtC3vlBaq41Xouxwzojbfnac133kQW6JM9GzaOKzrewCZd+cBzrcHmrIczSoYLWtTtawSBBD - Wg/qnTxL5g3yOuVwTCJwtf2CBMfZsJbRKLYwXW8SVast8/vjO+xBrdQ7cXN51dHVWNw0CfobuayL - TzGPF02XO7gHzPd3y3TwDT3WbgXziC2D5a+KnLrwbm42u33GtSX5hVOqD89UiXmXuD+J6COBNe0d - dntFZTiejg5APTwWxKofp45vqC6CKUhvPAKs0kHmJsCgn+5sl4frsJ35PYKzjbdYDCZIp7bkx4Wo - mRMzXYcVI8rvPWI3tCXuPo6K2arUGM5c68haLa68Hwzkot96SUF4L7g5qj26V27Ltvz0tgZ9txcg - W94C3NzTFW8ARkHziW6Q6FlFfL5Ftg0wrwo8h8t18dtPdDk/Zoy+9UGRnQnI0g8x87/X4zi5Mwxt - vyGeFrj+2LlPHSWJapIksQI+me9YQp27WBN/vz6HE4nQCHU4AF6J3ujzYqozFMaHgmw+w6vr2S3N - 0G23sYm+PHu8+dXXtz/oceq6grp0pyIzjTNCysOmGJ0mk1G7bQqyPUl+yBf1EyNzt1pi7ZpaxbLR - kAl3OTCI84aXP4vMU3/rjZns6H63TcAB58BVqpbSlY+HXq/AENcz8fzzg3eRIjhQXaUdRkYhWl3i - KyXkIkZ08FjczeWndlB9MwjmdBuj6bYfSzCl4siCMrfRAGr2hNwvMgxH3ejEzf7sATmCQ/TmUBej - KY21Zr+sGqt5ckHzan2RQKYoo0my7ENuaEkF+dbckN19ZsUsWvLxh2+4urmSNbZ6UoHYlQbR1Va3 - JHhde9Uu5x2V1iso5uC6dX94RNE4H7o2ni8eWKdbR9EX/4b1TQGIVtaS+YT6/ryMfQ+V6HPERcwm - xN9Z2kMHj4ACOx0KfvauOjryxKJIfn04iz4dVlXrEjP8lN7djD/b6s96IsF4hOz4GgNNUqqMbTeR - a7F3y0sggqeQrWzdU1o9UQBzPV+wqgW1PyrR/agWkiHiJZzf1mjbiosOGfLZFy+7SRfiCm2HzsX0 - c3RCvnUbDFMku8x6uk03ld2iBMOVBerX6bsYrqbsoeVW5cw/eoHPUZfYakpEhd5IqReDzc9HdNYf - JV6EoRVOLN8m6JBEd4LToLQqRShUdTV1EXNpbPuzvi9vQHq6xXB9U6vCH6OCkg57EsTnoZuNi6LC - wFcllX715oETweNy7vE4b9t0CMTnRYtnbya6vTPT0r2UpUr7QifO6dT4YxSEAhTO8UiM827f8RPu - MlDOJSL+7VSE80ZzMWLecmbWIqchD0+XCLaXOyf6Rwit4XQWZfRSHUo2z8crZcXbLdH6tjIZ5ljg - 3YmNrXZxLBPP6xYXPZ+bWKlVoaZzJExpv5YPAbq6t5wE6VOx5urJMWxuzwEvX+8TmpqHu4dq1lqy - XfWT31xfrfrrT4aTxP7Dz2q/wvoP7zm1k+SmaFmrMXN3tdHcpVSGsJgD2l7UV8hfZ9dFxZmZFMpL - ak0/fKqjqCDp+W6EDQrjCHi4CMjOY3Ex9srQgr+/zXgsPhtrtNL4BuYFP4kVs4lTcb93oWjmKwva - wLFml+5k1BT1mv3+D8+951H7rY8Zdoj306kqQXv2J0KYFHK+VDsJ+Cy/8VwbbciW17iGOmRAf/3J - rbMqgLCJExZkspXO8rmjcMeKRh/OYcX764bUyiXFZ/yt/3R49VOG2mE+MP2ISTcdlxsHvfvKZDqZ - cbey+3oPn7Vl4PHhHNKm1HsBoQAhZkImd8wzxBg+Z+dCeSRWvBOMpw5nvuiwMu336SygWf+j59Y7 - 9WPx01OIUXpQD1Q0R8znwhsi0JYH66vPPv54zhtJpbvPh5BgZRa8CaMEXFHrma2FzBpiYWlD6Oku - sTcHu6hXqemp5Cg4DF83JOxx5nrqU6FvqvXREQ2ONQfakV8stgs/l7RF6iHTTkbyZL6g1QXLvXqv - /b5nbIMiHAlZi2h7tRPiKtuD3018f9SEg5OxzckQEZPv1xacWCN0NK9nfwrCMIDkWDIsLi4WF6/b - 1oFAyc/EsuzC6oPdcEROV2i0Zq7VTWq+r9Enm2w83v0qHPTe72GPrjYznRu1uKXorvZ57pbEVlf0 - x9ei6l/mNb10oxL29uFgwnLlCsy/b0zOElhhmFa8xp8i6Dh9pzoG0q9zsrs9knBMz22OJCYmdPG4 - vouZux6F95I9mKm/CmtmTusi+qIxM5/HyJoyrZgRv3ovutyN93S2qjkCdD5WdNytimLQ9cmGu3ci - bNe2Uzq3K8OGIvQitivWNppfxeCgy0SkL5+vfWlaaPi3nlg7ZgFafdcbJkJnXHfjNZ2GzctG2i7Y - EVsLiT9et7mDxldifPn/jKabve+RAekaSyd/kdKvH4Duo2a0zvcvxDcBb5FwmTxil6fO+vJbBVp8 - aplno4U1Xd5aBIN+vtP8+vhYnK1aCoPtmBR98bedgrsLr1K5sp2n6CndpEhH9qNakR3aPLqpctUE - ucsyZObZqqx5/4yowprJJ7/r6WAb2aqNdPzVQ7e0qnAdI04ud+bvuO6LwixXqJvqnHivufCHMGtG - 6ERfoW9DLNHXH9yUSb4QduaNanEFPyKUnw45wVK19ceNc6XgNHpFFVU9dONV81xkH6lEFal4F727 - OseQvHKXkYv/Thtnf3QgLMaAOeqVhPNFEzy4WocdM5zRDPllOgSw4S4nTo0vKW/EV4kec3/+6feQ - J20fIftRruhUvXg4ysNJhxZLMsFLcduN7/JagyFuZszfh5PFqqrx1J/etMLXFI4nfnPhGQcZidtw - 5zNLcV346d8N5wXqf/zRDn6Lxb4/+/OCJd7vOdl4+MPnc6wBOk1zQ/Tb1UF8f7jHaHt1Egpu/Ezp - t3/BDVSJ+Q9zh0a2oZ6s7KTVtz4eaSOcDxHUZLujcIfEnzN9EQGqWUxHP827ziwTEX39FSGP67ub - N5oegJdZh//yi+/LMMPXj+J68T7wr79t4ROw4cd/FpW2xR7I8fSgLW1t3swDu6jbjWVRiVV52G+f - swm782pLsL7102EhHHLYCQ/MjFoT0+EedxVM3uvO1n3eF1zSMxUOZ/wgW3nhdMsHESg6f+ieGWvB - RGN2tWzttV0LuPTrsRh++uEV3ho8TcvY5+UqvIGs7LdsfS7ddBwKPdJeRnokPz0xLKc8gbHHHW5e - MBS83r0u6IgcxjZx5Pn0s3zmwDdrD1fv+Zzyn/6pdNujr2Of8Kkt0RF8nCa4xczze1hZulq+VoTO - X7wYfH89wzcPIH62pyFDXqBC116X9OsHui9/ekiYC0xZMU4dbXbVDXL/lTEHX+aQ63Fygf1ViMiW - +2k6y/KoAuk3OR3txYtPX/0Pywt5Y+TvTukkei1WF0F4IMaxV1F9Dy8OQqVXs10fHTmfyruA2o0X - MP+VUc7egSuhXJ4atsVK1M2pL7TovvokzPG9A5/wK62BPmrh2//PlN/1+YiKvRkT19SAs1G7U/TF - S6oEQlMMXuLaEHaZzNbCcfRr9ZZT2JC6I9vHM+hm7x6W8LT9Df3U9o7zx2e+QS4GiNnDok9plts5 - LFPBI3jL+2IQERORvsows7/+hkmmEv32l1LivFAu7veelh1OGbHMY9F9/dYetXt1z7ZPI+9m4WP3 - 6LAsDnjiqof6bXYu4aIUW4axJ3fTXLwAHpdTTwwx1Xm9mfoYCuG8YdiUlmjau6n6yzOILpCgGKdT - VaGvP8fw7saQK6zPkb0rnljr+A3N6bMQACzbYNGylNHgJboDcZr3+KK1FZp0ISthJUkNltz7J52h - e3gAUT5hGc6HbjlErqB+/TRVL67B+ekpRbAT7vjnN7qhf9YiRKv29uuH4qvPMTxBLIipJAb/6n0K - Kd12xP6Yp+Lrx27oi6cMnxTKx9WF9eB2EmG2rCt8Wu7vWBW2y4mOQUlTer+uHKjGW0h8kDnq9eo+ - QrWZJdz0TO2mRLoE8OV7PMSWknJ9uXOREy8IwV1zTGkr0hah5fvCAunopu/JYRj6t9f8wfu+fqsY - NpFosNPrveRTlk0m9P3qRFfpfdlNk/MJYF7vD3TIUepzsb4AGK1wYlupWBdzksgC+vIXVtpQ6aby - pXpw52bP7Py1QIMhHjzwiWnQQ1nVIX8WT1MLd55D5ezVdXzzcJ6QM+NNxcd960uZvopAbuORbYRq - j4aSJjq43a5mWN633Qgry0RhVkrM++rHsbYHHTab04VUqLe7qZZdHe314EDSoiiKwTfcCPJ89MnG - 3XKrdy9lBf5W6rHoPN4+6yNRQC98CJnfHxCnpXOU4XNQrK//V9D47VeILxfK7O2w7iaN+Kpq5dGA - n/ttwrm+XH/9kMzJt7+sITlZpvbuSxPPNW/4uHJuInTs49HJuA8+a9NGhExcvan29bvTOcxvcPWr - JxUWmce57ac26GnL8er5eIXfPCVD2mEEZn3ihndFXnlgnLhOTPt8TekiV4/o/XInsssRsupx0mc4 - mteQuFNZFuNIaQTb1TXAVTo1aK4Wb1DzydYwiAvuzz+/+MDvGo/7r6t7LVUVus680fqp9f+FD7tj - IzJvoGk3bzZrCv673nz50UJTYa8S9HhLJ5xFldJ9ztrkwH1DDuzn90cfJdFPfxHnuKmL+aJJHgAR - TDqyYRv2hnWpQOW+jJf2fo2W6f2SIT4MhD7LcUbMUWsK/FKomC2fy3S8iCIFWa8GZli5wcWlx/Zo - a2Ynqr1fa77MMsWETtwqeLF8nlIu1nvhj5+3RGYUvH2zI9K37xuFgpBw0l7xCN5pEKi8j6NucIzz - DIfnCZhLdjWfzPRwAUEVX2yd6Nt0fFvBDX35ia2TuUY0UYoeLkKfseAVlel8r5VEuTL7w7bJ+WXR - +vacNUlXTEaCteXP6rv30HFT1cz2TmlI7/V0UQfx5n/zTIz6kVaRkpogE5NEhHNuXObVe9c27KvH - LD4GFwcshimWLsW24LdikaFESLbEm8khHXenuQdhOMtUarxXx83109FM6XVkt2//j6+1FKHHzT5Q - aIV1IbHQNOFTv1x2H5w55cX0zOA6vi7EDs8Vmtn7JiNe6QUxdgVL++Z6jKFPkzduD77vK6/noQQU - dwss6padzovnWUJHGgx09nhi8S5gOcqe+xWxxPeZM7vdich8KAFL1usa8XExulDRCyKBb7WIPtur - ANLpMdLxm+fM2vF8gZIfFsT51i8LvO0In6d4Y9tiJRcjP9w89ZunEwv5Zijly5UAHkDLvOX9gEaP - 2zJkXe+SBBK3GKuzMsJURTKxiPdOh69+kUmZSFi8Gm4obepEhmrMQrLFm6U1olL2IDIdAXPF2RU/ - vQvHKjewuA4YH4P8WEFjlJRtQrpIJ80sTZT08Yxh2N/4wM+mrVUVJVTuRiVlWweP6iaSDDzzKu6m - tBljLQpflDi76sj/8JUenp5MV+RnN2Pe3JRdOfhMT9g6nIyPsgdLvNhs8xC6kB5v3hG++ENDU1XC - 4aR4Dgimv8bLyxD5E9MhgGpetMw6acdwdkv3ht7nZMBgfzz/m4+JUCRLnTmCurbmnx/46l2GG/oJ - Z5I0FFT63hLrnguIn72D/tNLZFteaFdzG/aw9i9HYicQhuPbsm+Q+kef0kIFf/w+R5UniyTKu6ag - 6mzrwOdQoOogr8OZPhoZ4dciZiYf9XDc7M8uZJnk/PgWDTdD2KNocXYp3672/qSgywVA1mXaH+tz - KBXCOoHGqChtQye2pg9TS2iWzpKqX38uqreW/uYj+GleV9Y0j4aEhHcTYLW72Wkfo6aE33xmszLK - kHVkK8C98lpmXJup6+/7ZY0sPt2Jt9FDNLSOnoN88lPK5Qj7q8JCFxjAXTE9iw58ZqGnq6hbRcz5 - +olJf3QSusUrl23K06rg19NCh8yANdOHWvzmW5MK7nWW8WtpxUX/m7f8/JW+MHp/VnxfVFW+lckX - /9Hcr41KXfOHS3bG+hQ2xyVxfnjHNnkSpCPz3Aq9H1QnZhRMvPnme5DFOWfbt4ctujdegvbdT0a+ - +Qpf1HWA3ru6+TMfoNfPXoI5Zgad+fhMWZT6MQgpctkf/FSXjyd04vgkuPfctM/U/RGFywC+ehqn - 075pHPjm21/9ZxXv2YxGuLpZzqzUuaNpE+8ccJdVyDxI6mI6rpocycpxy5xs16KZemIFP/3NvYYV - Q6c8S20jxy4GoRFDZrdrEVR/bf7mdbw+hq4IK1dbka+eRvNh6ZlAheqMp69+/JNnfvNsrMULsxu3 - T9UEt6YH5u/Jy5dipvVQkmlF0VUxU9FpYhXYCd9pncvnbtwOVxV5RfDB4zcP/uadDvTS+0oMYWV0 - PLjdWtQpZ8y8ZBmEXCLXAFjV7OhCdp4WvxWrG7pfj/UfvzQ3uyqDhikPLOioReNPz33zkm+/bcJx - XhgBGhRdoS/rcvE7yZxi7W62BZWK59OahhlRJN9vlLmi/u7YdLRsjST1zEzJXBWc7tscvnkcI05q - FDNSrxnkei8ScsC4mPTeoup3/oSn/cT4PJyjDKLIOxHvrVuFVHRqDr963S4nx5oX+Xz8+X/ijVEV - 9nmu2IjJtGTr280LV08893/00QZe4A/94FL1rGz1n97t+Ct696gQThs8OaOZLvErbUF7biiVlk5i - 9b/5VVMHnOAeNnzM2UVA3Wm5ITtp5N+8DiJU7PWYuO/MTBvpkreQmoKMP9/9546M9/C6WOcv36hW - Fx6XKpxE+UNModil43wHU35+OkwXCCSr/7R2q9bDffHNH9bhmLM9wJ68G+K/lyof/P4IkHXrFyNf - vdF7PFAheT1dth43it8nY3sERXpG7GKYE2+wjm9QSG1KvFQ48zFaiPrPH+JpLSr+pOaXGr7zHUJk - R7d4IzYVZHXpkZNcY87Xc7iH3iF7ovenRzqpfWzD/tUYf/qV14aRQ8D8nuD3biqm5vaWVOA3j6Sb - hYiGD5sruLzEOzM2yo7TTF/FcNDEkiRf/ptC7fbUhFVfYHmr8m54+eUemW8np3Iurwp6efgXNHdy - zDxu7PmgEUuFp9K/sfqITWsuj/MI37yRSrNZpJPv72Z4zJsRZz+9epkOGL2PuwsVfLoqpu6SJnDV - fYLhxmkxufVDQMm6H5h+951w+VrYMbrV6oM5jWd0S+Mz7eE+LGMSCI2YzlfHakHcPlviI1ZbUwXJ - TfVmV2dJKpxRLz+XHlL6bcNc9VaFPBOTGBgvCHML85Xel1N7QcLiSphFtxIfoLZa+Pt3KuA///XX - X//rd8Kgqu/Z+3swYMim4d//fVTg38k9+bcoSv9m0p+TCLRPntnf//zXIYS/m66umuF/D3WZffq/ - //lL+XPa4O+hHpL3/3P7X99v/ee//g8AAAD//wMAcglDZeEgAAA= + H4sIAAAAAAAAA1R6WQ+zurLl+/kVW/uVPgqEwWa/hTGEwSaQsdVqAUkIEMJoA766/71Fvqvb3S+R + IBZTVa1aa5X/419//fV3k5bPbPz7n7/+/hTD+Pf/WM89kjH5+5+//ue//vrrr7/+4/f7/6181unz + 8Si++W/578/i+3jOf//zF//fZ/7von/++pv3hyPVsvfRm9C34AGn6CZFtyvz5tgqTPUyKDuK08vX + o3MRdEqy7UK6705xzN/yz1Z5VGBHJHWrlJ+y+xIAPLCQkns6MX98vrfwEn9G7CfsDqYkDxXFuXsR + PmjjvVy6cXIUqEkq1TFLwEBP1AXGXJk0mfY30OEH6eDRBD6SLoegn2qmEgisxaV2Ye296bRECnTu + 4wWJwXLyFh9pDrSyXUedHXgYi2W9T/CUSh7Watfsxdt2SlThBS/UTvLOm9fnhTMgGdVuYBczLBxO + cPy+Z8QHc5ku97KNYEaAQKboio3pcNw+YRd5FO9Bb7JllnIEldFQiOonDpiw7hNwcoUI24acp2Nd + bjmYZ0+D6tf3DTDwrjLQYq5AfRRv4pkl2QI4XVmoXvMMzH4eOmryKlTsF+3HWxpi2fLZ+eiotsov + 6Ny5h9AoHIcmNY1T8pi4HFaXuMA746zHc23CBhZKwGF92RPAfKDY8E2DGO8aTmKLfxBqGD/aGpve + duxZL8U+PDz3JZFj0zO2YO59cG0ySq/HeZcuT1KHsFYBTy03XfrRz0NXbbzdEbvkNMVtRVgEJUYz + bPUoN7rvdD4pa/5gT3u6Ma3rJVEz93kn3Ozx8bydniYEIHyh4/MkxwOFu1qtw05BQ0ZoSc8b+QYX + SXFIcb1dGdO4PgdXUemphaJjv2jucwL5kj+wX+MzW6Q7qeD1HSK0Rd0TjMJCLvD2uO/w/ureUwY+ + 0071nCeg/gUqoCvMZAD+cn3ivXkM2LQxTwjWNJ+xP/czm275yMv+yejI6B+UcvKCBwfZftlhQ7mk + HpVrHypp5nyoM2pWz/LMPUF2rjbYywItFu/TqYZCXfEEyiEB42SXAxwq9MD2pxcBqc8sV3/Pn1y3 + 35I9jWmSt34b0H394FNau7uLOgR7FxuzbXhC80A+XKSTSW+nixUL6b42lffBVbDHf1m61McvB8s3 + b9Pn0ajiqdjYEJrabofvweHcTw3LJ7hH7hfxwBH70TXYDsKD9aT+vt2wGqLHCXJd7SDhrcN0st5x + tDGS50wPeUzLWcvGCdA3OGAUtmdjmc/JBUqWOuDAPyQl2VadBKwkHYnw8B7xoo7uAHC6ayl+mR+D + wChXYNdnOhqeb5E1737HqbSAOr4ewNlYrnvT+eUfUq8bq5zmEDU//ECcUsolVXZkC57u/UzRejxf + ldsCu2xnY003nHTq6C4EOlJ0HMmCz+a13kAnixY+HNJrOW+P6QTHQ6AiroQULFnSRGCDtQr7xHp7 + o7YBHXicXyYODN2IG+5DJjBu1ZGE2rFn5NUFC2hfyRPjSduXLDKJBLB0rDCuPl45WQ9MFO4YC0ji + qVFuSebZUN2fDOyUy9ubDdlVoF7KJcrfdwC+wmlwYRS+AOGU8l7OL33qYMadZxygbx636Z7Y8G5w + GPFHxIymVu45FL6uRNpDdOnZdy/ZAJjjEW3b4gLYcN01cMVTGkjY8Eae5yoYD+UTKd+d1vP09HX/ + fK/9tWrKaWtPgypZaYNkRbl783C7LVDArzeJ3u5QLpnc1XC20R7r5w8tf98Ljt9yRu8AbY05ct0a + /uKHyXVniG1+aBTedwPC9wIsF3CSHWjJ8YfIh/TaNw5oXOjGeUdUf3fvyaa+wx+eUnQZvX6yX54O + nOaLUBeAxVs8mg7QD1KfgL1zLFl/v0mA73WLzLrRxGPaAU7JDtKZolb89LNWHmrI66JC+Gr/ZOSC + J1/d7Own1YrMLgerLHOIxkjGOH8808F6pyGcgXtD7M0ab7GhihRPOCwIFu3HYBu5NYGbUI8iLpH6 + 6fqxL6ARqYPysLLZZJktggMa9vSQLK23JPImh1pNRbJ/HT7lCL6OCwhMGN17G69nkaNkiuzdFnIX + 3juDvpK9DqSTWCHR9Y2YqdyhBpud+cT7mhTlhwSnp2Ic+5g6t8BMZ//On+AuuBwQ4O5fVvHB+wmj + 5nDECG3Gfha2sgLz+VWRpYNvb1qC7Q2u+IWA0rdgVNrwpta0mLHhiHL/jqvqpkw7puH9gFtvkaWY + g0qtRHg/y2E6RVuQQAnmCkYnpYzZbSsloNNHRk3VJ/GaDyHkj+OCLTeNShoO5xCEXEQwMtQcDOnT + aQC7eAZ1tke17Jol7NQi2xgIqvuAkena1XJXooYwKZkBuX3mHNzsqcTa2g9++AODezYhvvbO6Z/7 + zencY2Nd39DU5YBfPmpqhKMJ5tjqbKV41jscxOItHq7tXZJfV12lAf+2vEVMOR6a1+5BRnd6x9Ms + NiZY+ythyiU15nCeOEgVp8TxmzlGH+/sG7Ri7OP9k17iGVO1g7k5jWiz1v/Sm3YGE0fJseOOc0mq + cmfCtb/RvchbbFEilQfjxFvUFI+3tX7ySC0Tl2K3uStsuHwvFYzVXYzdQjrFkzv129/9EXtanUHw + o177N+bIrz7Zp08UqOlRStFJMdKF9WkH9YrLyJ2bJWNoRx/KbNze0bK7vjx60jUCwm93pBbpMViE + 4lsDWnA63e8SBETQOCGMPxcVLe4h7ju6HRRwU3pA1++fkiqrIqh8nxeyXJev0WvKC4JL/B0RvIlh + z973xYRcfhjxygeNpbOfBBABRX/4EevPwQm2+4NJHb/5pjNTu045oP675rdeLvNiJtDZBD21YUnZ + 2J8sH8qxecDOJJllW+GJUxr5YlG8O6N4JMdGV+7ysyLAOEY9je3CV4enY9BgxZM+c9+Fqj64nB7E + UxPT9f1U0OEa6yUqjWXYfCSg3HYJ3rnt0etEI7yoKdAfFNc3Bobb99BBQQ2OhOc2l35+VIYPj8HQ + IcHYG0yEeufCyFUuaz8uDdqfgwsYb3uBvDvN6BcH5iGocGsidepqg/zwi6DWoP5eIcYk6qGvZkQW + sI1N4k12ImbK+SOo5PLmJTasfBiGu3xDDeOrxXSgXxfepbRHX2/TlzTfhAhKJ6HC+zhOYlbXSgIu + LH8SJa0+5YLqhECdXV/UPm0LNidh4gCzLs5U37xOxnTXygJ8erciMn0+vKXU9QxuT5eKsPV9SD5o + JjwlR0T1ozj3LFxmEy5ufaK6pJv9REVVBz+81l+55W0FY4zAEWQJErahD3guWPMJRyVqtfHeL4Kr + mWDlY9hDI+pne4lcEEQRRhVwrv0UuNMEYvtlIRDFm3Tsk7cOvwN5kLFM3/0y5mUNPpHsYiNBvbFo + /O4J8+gzUH133RiTYKq3P/2lLqyvMbtat0C5KCwinMw6brb66EB4eyfUPF926UBTF4JItyXs79sX + mLhWuYD38Xam+BXUxiRliy7zrerjQ3GtjaV1aij1m9BDMBBK8HErqfvhMz0I750nslfzBI9nWPzy + wRvkpJ2gthc3pOPtj7d8t7Ijw3aH6TWOlZg9s1cIqsuxwG7THbzlA+7dn34oueOxn4GhhGB6dRKR + Rrcux8Pmm8D3hjjUDjcl6AVx0X/6hernDy4nFxMErxvLp3tk6PHMKbMPOV1asBOimzdv+XcDboJ5 + pUeh3pXzW4QhmBeJI4D/sng6YWsHtZsiYY0VB7Ao93sDxe+eRxJ/PsWjNB1chVN2JsXndC4ZfGU+ + LD7+E9+2hQcGUb/5UG6Hmrr6VKWDIsZbaLVii37180dvDOfTByOO/7J59+R24FQULbYGaveMEx4F + sA9LQiZ4f3vjln93MDvaIj1UWtBP/mBcJPGwlRG3FdK+xbzmQ0fSXCI0U5JOsMMh/JhGRCbPyNN2 + EFwe4DIysVmQz596hDQ2jghQHABWInWBJtzL6HvMI2PZp0UHy++G/OFD9Kd/PCcDpH22jtEeNvSm + 3B4bkyybqYiHMF9s2HXpATvJzu+H21froPHe47W+eI+MeV9D4Sk/KM7JUC7oxSmQyvXrz/sKd/Tc + gp5uMXXLg97PvRibamULNWq+eGLj5Ywr+EmHBklXeAZr/lfwOg0u9Rl10pl/5icVftMI+7jxPcor + egSjnJtQtxtGxjby2wTNsaPU2E5uSpUuLGDX3Q+oY9y1X+562UB1vGWka+4Jmzu5v8C560uUP5jn + EaM1HUUjmyNRNklcUk78LJAIfoTd+5UYw14ettD1xJj4GaH9ImmODaLGO5J+78z9+H1dMthj+Ult + o1mMH9+BL0Ji7FZFCthGDLfwql0fRD47b8aMR8jBR9Z/EDeezulsbpVOmQQaYaRdFK+NegeBQLo0 + dP+Ll2kQHbzzKKAe2tKSwKhRgG5pPdXG7yld9V8Nqo+XUK9kRzZFstfAIwt2a/3nKaOjxgGmRmeM + q5Ma0zMYt8B26JsI/quNhwuSTBjzi7zytb5vzpPeQd/2e+yapQ/mcjZyuOoJMt4XZLBxLjIoXAdI + 91U3eIM+VAW0xcJd4zMYtNu+JFBGHKIuGM7lOH3bE2TP24Pke/+dFtjauaq/nJ/YrLOyZ8+84MGL + czFFc1b0M8irE1i+IkbK2/K9cVbFCj4leqBBLErpLGxn6Y+fYj08Nf589SGB8gQc6tdYAEx9eNzP + z8BYvfurPq5r8A6vGRJneYrZ1xgKEO5pjqQdeHjT1TZ1yCuZRmPOlD1yUEL9dz0U+5sasFh/NnAO + kgatfMBjA6UuFBsyI3jeHXtRHppFCTSWELVMtZL9+FPuqQjjyW168m4lHm4ZyrB9SGw2lFWI4I/v + 2fNNN5ZXkJIfvuMdn5wYnQ3vBF58LFFzvyHl4te0gU6yYOoOocymSRgWxaEzJXLlkp6a84WD01eK + MTrlvEc5cZzgz08orZ3Sz1Hv+LA4LwXqPw85XRoSmGCtX2wB5eSRH3/R6PtMf/qgRgV24YpX1L3b + G9DoQYegVQ4azWossKXhcwXy3v5Etu1dALOrXp2f3iP5O0zAJBwcCMlnuVA7OFpsSd53Hfjmh6Dp + s5fB1B86F2oiGqgujJt+vHBzBL8oacnh2TbG6lfo6t7mbDLHh75n9rDN4Ob5yMnE+YdUNNjXh8JW + n6jRn1BKeifZwbzQGmq9466fCqvYghsMJXqwqls/nXCwg9nteMP9qTHTuWquGXjn/BE/yqooh0mW + TrDzKxfvuxOLxxFXBOK0Hn96yBuNs6ADbJxjalUyiAeVRDx8Sgdr9fNkwOJWsuHHDwdq2oaVstnw + Lsra3xDZDkm5qL5lA9dsFqwZ26mk15uhq6s/geZEbMtpu8sk6HbenjCmDylZQpmHd1H8Eq59XNJJ + w0v2ix/ZXlrPmDfn1IQEciJi2SFnJBJZAciYA+q9xaZst9PFhheFbDDikls//Pr9eB8WvPo/rJeH + fIGd9z5i1JKqZBCiECof4Y7GD+q8yQvOUNFukoSk8r0AVo29A0EX1IjTXsAYdqeEg/tHXZL+kg79 + jGOjgpb3Fiha+9UyqucO3gt+T3cTb3rzNRIvAF26DF2Dhfcq3jsiuOIttWU7NxgwlRu80jbEZnpo + yuV4t11olUQjW1E/xEM73wqowNcWbYOjBUQjdQgoMtUgJT8wQNdjmFa3HVJfmZDOv/jBTTdQg1d1 + Q5QtfALZQTmTjV5YTHzYBx0i0EKkvLRzutjG0YY3XGl43320cmkC/ATv8JwRuDNwzPLrdoLiLYCE + O+Unj3zxlUBeFxRqa0PDltGYczgPYU513zyk08Ud/suvCxrYeMPNYBPcLfyLoqNRpfM4dReZdsOX + Gmv8BnjMF3VfBRq157fhsdUf+YP/Jh3SkqzXV375ae4cDAa9O4Xyq85kbO8vocEKPlWkZbI76nfX + 0lj1nQ3f4pMgyKRDPJcdJWDVz1g/isd+apHeQCcEEpGkx3vtZztbDfI2ojH3dNK5edg+YCN/J3xB + rFJ83xcb0rd8oElXLylb/WMoG4cbNkFRA+a+MgjuclbhtT/1Q6npF1i2dY/G99XzgMppFbwBvEGb + TW2mk/XYk18+kumzv7MV3zog3kMBW9P5GtN984CgzOeAplzRAMY/Qh9qhwxi+9L2HvmorQLvzYYS + /pcvTbDPoDJ+OGxspy4dkdQOkNSnhP7xeyc+6xQdSToObFmP+dB0dPjz5/y5P4KpKE4S5LrKwUfd + cOLpA9sJBm4l4b2o1mDks5stvxt9QZvryzFE+ZBIsFVJhC3eEOLlgiUEV7398+fLRchfJ9j1Tx1J + vU3ZhD5RDfn4RP/g3TRUBgdewmVGEKOM0VVPqmNUHFc/TO6ptH9VCq88NcTC7NJPkzxd1C46UGzz + XMQWNpYKJOfjm7qRn6eTd2xz2ZjeHnXTyionH99D+CmhQQ+9NMTkMnQRXP1DctdGuRx++Pvrb/P8 + jFMW3AYflmLaUeMlRfHsFc0NpBlp0eIHbso+qOFhMdw2dHeKTLY4sInA6q9QzVK+MUt9eYH3d+Bi + G3Xcb74hQfFr8diUzzTtv1oWQi93Iuyu/GomwSmDn1OxJ7TxYPqHn1fqjcfxqv/H4FqZEIEeko19 + N9nkxvIENFqeKcpeu5gN9OvA/KHvidKJu35c/WEwbphHNgKPAXtpTQ7X65F3oV9jXjCFBK71QfJh + uKzxSCpoeLpA4BN8PUFxkgWGN/+MPtNZjKfB0jqwNPcYKWVk9MSL2gYO4MZRLXhV8fDkD9yvX638 + bPHIqJ4bQKrxgfGxinr68cMahlcvI1zfBWDLt94NbmpHpP55dyyne9E6yjXEZ4pNP0iXT5Lp4Mdf + DodULKdigyAssGNS4+by/WxPmgJ7h6iobosLo3E72bALHERdeRpSho8gU8RrK2FDS1rAaE1c+Xi6 + OngvTDhubyG1YU0e0rreT2elvSXgsbe11X/h4w4/6g4qnM2o+0CBMVzbo6IGm/eB7gZBZIs2Sz4Q + xarFXslmNl6VcIG3R7ojm6x+pYQ80wv0M9GhjvTQyj9+YLWXXtg7+E46ZOmUAB84ENtfilImEVmH + nU4Ztk8fviyHsOLh4xkVFNH9o58/h4cLqy2KqeVfmngyDwcCfnrQrWDvLeWTLyDciojMUKExPZKw + Utd8WPUbH48isXi47VSN7vVvHbdGduN/74+91T+ZCUlsaF7tOxJJtivnMjogOPfBFykbXgdMEBUd + /vyj3arPhNX/h9P4EMl8DvR0K6bbLTxTNyTt6u9Om29nA99qvmj+zc9++m/tp/hwdjTAWJopYOv3 + ATUuV9/46WMYCo+QyMI7N6a38c0BTvUWa9Zsp9OmvBTw8Hi/kGoOHWBnMPJwnLbWOn/cG9OozzdA + 57NFRjPN+uYraZHqTNGHwBnmxrzTPQ5kFBLqnZoqpc+Cmeo63/mTX0vnKwWUky2hSIi1cuKD9gmz + PGc4WB4onlJV55T1eyGB9JT98atWPwQ7q78vKLZb/In34TBYbJpPEfrpS+xex7ocL7DdgdVfoZbT + uDGvDnoFjVYaaeBEoB8CV1qUNT7YDsm5nwRTuIFtZh2Qast6Kkx2T6BDGSWMCxKDSNrOVFte4rH2 + /OzLX/6AvBNsbNkV60n/zU6g8aoz9i4ul34ZjAr481vHgX2NP/wm+XyvhDlEKrvoIihQt5sGG9QL + 0umxTZDUJZuAKKKwLenpberKOi+hxnizjOnd7yCMUdBhtBVAObz3zIRAbgvqvjQhJelt4OCzO9l/ + 9Mnoqy6Cydc/0eN+pGVzOHIZVG56grH4vRkzdRiEZ0pO6/xB9ma5bxpYf49XbObhhg2DdeggsCYX + P9Z4zDhkJxgKrxD7cPvqWXG0d/+V3+v8bkbb4xNK1mZY+/tcTh/pgpRnIrnrfEnwhkwqntC8Ng/q + UdtnA+z2EZwzvsI3aETpnCt+ru6R80Xbec/AKJz5EMRP8iJiqkkx5W59BpRvdln9SsxICE861ER/ + QGs9xOx2XiY49/hLlo1cpsypAwJ3g6+hMkGeMZ3O+Z/5FdnoR7H8469z9xIjUf6SeArNnQ6d921c + /SjbEJuNwQH9XOTUkyStF7psDuFLtS4YzR6fLmZVdvAqSv2KL008fz9KqHBytqPROl8eAvuDwF0U + vtQHj/qPXwjdNMbUjsDoFZmYnMDOP4bUtBbRoOVidPDv366A//zXX3/9r98Og7p5PD/rxoDxOY// + /u+tAv9OHsm/eX77b7r9sxOBDEn+/Puf/9qE8HfbN3U7/u+xqZ7f4e9//pL/7Db4e2zG5PP/nP7X + eq///Nf/AQAA//8DADKcAULhIAAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c80c6b92cf30a63-AMS + - 7c965f93fe381ca2-AMS Connection: - keep-alive Content-Encoding: @@ -2330,7 +2330,7 @@ interactions: Content-Type: - application/json Date: - - Tue, 16 May 2023 04:11:22 GMT + - Thu, 18 May 2023 19:05:44 GMT Server: - cloudflare access-control-allow-origin: @@ -2340,7 +2340,7 @@ interactions: openai-organization: - user-kd1j0bcill5flig1m29wdaof openai-processing-ms: - - '215' + - '34' openai-version: - '2020-10-01' strict-transport-security: @@ -2352,7 +2352,7 @@ interactions: x-ratelimit-reset-requests: - 20ms x-request-id: - - f6796e0fb1f2bfab31d19d05edeea391 + - f251480c34498f8d9fa009c2dcd92bde status: code: 200 message: OK From d10d86d79b9598af515f54116f713c7287448221 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 21:54:08 +0200 Subject: [PATCH 27/54] Clean-up --- autogpt/agent/agent.py | 3 +-- autogpt/agent/agent_manager.py | 4 +++- autogpt/memory/{history.py => message_history.py} | 0 docs/configuration/memory.md | 6 ++++++ tests/integration/memory/conftest.py | 15 ++++++++++----- 5 files changed, 20 insertions(+), 8 deletions(-) rename autogpt/memory/{history.py => message_history.py} (100%) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index d12c3b20262..63f58cffd62 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -11,7 +11,6 @@ from autogpt.json_utils.json_fix_llm import fix_json_using_multiple_techniques from autogpt.json_utils.utilities import LLM_DEFAULT_RESPONSE_FORMAT, validate_json from autogpt.llm import chat_with_ai, create_chat_completion, create_chat_message -from autogpt.llm.base import Message as ChatMessage from autogpt.llm.token_counter import count_string_tokens from autogpt.log_cycle.log_cycle import ( FULL_MESSAGE_HISTORY_FILE_NAME, @@ -22,7 +21,7 @@ LogCycleHandler, ) from autogpt.logs import logger, print_assistant_thoughts -from autogpt.memory.history import MessageHistory +from autogpt.memory.message_history import MessageHistory from autogpt.memory.vector import VectorMemory from autogpt.speech import say_text from autogpt.spinner import Spinner diff --git a/autogpt/agent/agent_manager.py b/autogpt/agent/agent_manager.py index d65b8d0ce6e..65141c253f5 100644 --- a/autogpt/agent/agent_manager.py +++ b/autogpt/agent/agent_manager.py @@ -1,6 +1,8 @@ """Agent manager for managing GPT agents""" from __future__ import annotations +from typing import List + from autogpt.config import Config from autogpt.llm import Message, create_chat_completion from autogpt.singleton import Singleton @@ -30,7 +32,7 @@ def create_agent(self, task: str, prompt: str, model: str) -> tuple[int, str]: Returns: The key of the new agent """ - messages: list[Message] = [ + messages: List[Message] = [ {"role": "user", "content": prompt}, ] for plugin in self.cfg.plugins: diff --git a/autogpt/memory/history.py b/autogpt/memory/message_history.py similarity index 100% rename from autogpt/memory/history.py rename to autogpt/memory/message_history.py diff --git a/docs/configuration/memory.md b/docs/configuration/memory.md index a67ca2f5119..452a6eac9e1 100644 --- a/docs/configuration/memory.md +++ b/docs/configuration/memory.md @@ -1,3 +1,9 @@ +!!! warning + The Pinecone, Milvus and Weaviate memory backends were rendered incompatible + by work on the memory system, and have been removed in `master`. + Whether support will be added back in the future is subject to discussion, + feel free to pitch in: https://github.com/Significant-Gravitas/Auto-GPT/discussions/4280 + ## Setting Your Cache Type By default, Auto-GPT set up with Docker Compose will use Redis as its memory backend. diff --git a/tests/integration/memory/conftest.py b/tests/integration/memory/conftest.py index 2143172f639..2eb15dc93a1 100644 --- a/tests/integration/memory/conftest.py +++ b/tests/integration/memory/conftest.py @@ -3,24 +3,29 @@ from pytest_mock import MockerFixture import autogpt.memory.vector.utils as memory_utils +from autogpt.config.config import Config +from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS from autogpt.memory.vector.memory_item import MemoryItem from autogpt.memory.vector.utils import Embedding -EMBED_DIM = 1536 + +@pytest.fixture +def embeding_dimension(config: Config): + return OPEN_AI_EMBEDDING_MODELS[config.embedding_model].embedding_dimensions @pytest.fixture -def mock_get_embedding(mocker: MockerFixture): +def mock_get_embedding(mocker: MockerFixture, embeding_dimension: int): mocker.patch.object( memory_utils, "get_embedding", - return_value=[0.0255] * EMBED_DIM, + return_value=[0.0255] * embeding_dimension, ) @pytest.fixture -def mock_embedding() -> Embedding: - return numpy.full((1, EMBED_DIM), 0.0255, numpy.float32)[0] +def mock_embedding(embeding_dimension: int) -> Embedding: + return numpy.full((1, embeding_dimension), 0.0255, numpy.float32)[0] @pytest.fixture From 6c821e7d9950b285d53b6363f08a50a21ce74be3 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 22:14:17 +0200 Subject: [PATCH 28/54] Fix `test_json_memory_get_relevant` in CI --- tests/integration/memory/conftest.py | 20 ++++++++++++------- .../memory/test_json_file_memory.py | 2 +- 2 files changed, 14 insertions(+), 8 deletions(-) diff --git a/tests/integration/memory/conftest.py b/tests/integration/memory/conftest.py index 2eb15dc93a1..165c4ac7df4 100644 --- a/tests/integration/memory/conftest.py +++ b/tests/integration/memory/conftest.py @@ -2,7 +2,8 @@ import pytest from pytest_mock import MockerFixture -import autogpt.memory.vector.utils as memory_utils +import autogpt.memory.vector.memory_item as memory_item +import autogpt.memory.vector.providers.base as memory_provider_base from autogpt.config.config import Config from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS from autogpt.memory.vector.memory_item import MemoryItem @@ -10,22 +11,27 @@ @pytest.fixture -def embeding_dimension(config: Config): +def embedding_dimension(config: Config): return OPEN_AI_EMBEDDING_MODELS[config.embedding_model].embedding_dimensions @pytest.fixture -def mock_get_embedding(mocker: MockerFixture, embeding_dimension: int): +def mock_get_embedding(mocker: MockerFixture, embedding_dimension: int): mocker.patch.object( - memory_utils, + memory_item, "get_embedding", - return_value=[0.0255] * embeding_dimension, + return_value=[0.0255] * embedding_dimension, + ) + mocker.patch.object( + memory_provider_base, + "get_embedding", + return_value=[0.0255] * embedding_dimension, ) @pytest.fixture -def mock_embedding(embeding_dimension: int) -> Embedding: - return numpy.full((1, embeding_dimension), 0.0255, numpy.float32)[0] +def mock_embedding(embedding_dimension: int) -> Embedding: + return numpy.full((1, embedding_dimension), 0.0255, numpy.float32)[0] @pytest.fixture diff --git a/tests/integration/memory/test_json_file_memory.py b/tests/integration/memory/test_json_file_memory.py index 3afd1e71468..9134a06969f 100644 --- a/tests/integration/memory/test_json_file_memory.py +++ b/tests/integration/memory/test_json_file_memory.py @@ -80,7 +80,7 @@ def test_json_memory_get(config: Config, memory_item: MemoryItem, mock_get_embed @pytest.mark.vcr @requires_api_key("OPENAI_API_KEY") -def test_json_memory_get_relevant(config: Config) -> None: +def test_json_memory_get_relevant(config: Config, patched_api_requestor: None) -> None: index = JSONFileMemory(config) mem1 = MemoryItem.from_text_file("Sample text", "sample.txt") mem2 = MemoryItem.from_text_file("Grocery list:\n- Pancake mix", "groceries.txt") From e19164aee624eb0e1338555b7ba457bee5f0fdcf Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 22:36:00 +0200 Subject: [PATCH 29/54] Fix memory issue in `file_operations` unit test --- tests/conftest.py | 11 +++++++++++ tests/integration/agent_factory.py | 10 ---------- tests/unit/test_file_operations.py | 2 +- 3 files changed, 12 insertions(+), 11 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index afd1b2b7e28..08dc2929f68 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -6,6 +6,7 @@ from autogpt.config.config import Config from autogpt.llm import ApiManager +from autogpt.memory.vector import get_memory from autogpt.workspace import Workspace pytest_plugins = ["tests.integration.agent_factory"] @@ -37,6 +38,16 @@ def config(mocker: MockerFixture, workspace: Workspace) -> Config: yield config +@pytest.fixture +def memory_none(agent_test_config: Config): + was_memory_backend = agent_test_config.memory_backend + + agent_test_config.set_memory_backend("no_memory") + yield get_memory(agent_test_config, init=True) + + agent_test_config.set_memory_backend(was_memory_backend) + + @pytest.fixture() def api_manager() -> ApiManager: if ApiManager in ApiManager._instances: diff --git a/tests/integration/agent_factory.py b/tests/integration/agent_factory.py index 4617721c342..2b310f4fe85 100644 --- a/tests/integration/agent_factory.py +++ b/tests/integration/agent_factory.py @@ -29,16 +29,6 @@ def memory_local_cache(agent_test_config: Config): agent_test_config.set_memory_backend(was_memory_backend) -@pytest.fixture -def memory_none(agent_test_config: Config): - was_memory_backend = agent_test_config.memory_backend - - agent_test_config.set_memory_backend("no_memory") - yield get_memory(agent_test_config, init=True) - - agent_test_config.set_memory_backend(was_memory_backend) - - @pytest.fixture def browser_agent(agent_test_config, memory_none: NoMemory, workspace: Workspace): command_registry = CommandRegistry() diff --git a/tests/unit/test_file_operations.py b/tests/unit/test_file_operations.py index fb8300d4798..47c8bce8461 100644 --- a/tests/unit/test_file_operations.py +++ b/tests/unit/test_file_operations.py @@ -159,7 +159,7 @@ def test_split_file(): assert chunks == expected -def test_read_file(test_file_with_content_path: Path, file_content): +def test_read_file(memory_none, test_file_with_content_path: Path, file_content): content = file_ops.read_file(test_file_with_content_path) assert content == file_content From 3c0fed699a94f17a6d3a555b500f5f720ec571bf Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 22:39:13 +0200 Subject: [PATCH 30/54] Fix `mock_get_embedding` for vector memory tests --- tests/integration/memory/conftest.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/integration/memory/conftest.py b/tests/integration/memory/conftest.py index 165c4ac7df4..b84444b69a3 100644 --- a/tests/integration/memory/conftest.py +++ b/tests/integration/memory/conftest.py @@ -2,7 +2,7 @@ import pytest from pytest_mock import MockerFixture -import autogpt.memory.vector.memory_item as memory_item +import autogpt.memory.vector.memory_item as vector_memory_item import autogpt.memory.vector.providers.base as memory_provider_base from autogpt.config.config import Config from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS @@ -18,7 +18,7 @@ def embedding_dimension(config: Config): @pytest.fixture def mock_get_embedding(mocker: MockerFixture, embedding_dimension: int): mocker.patch.object( - memory_item, + vector_memory_item, "get_embedding", return_value=[0.0255] * embedding_dimension, ) From 0b881fbbd2483b2030325c48946cbc85d5749f37 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 22:41:55 +0200 Subject: [PATCH 31/54] Fix missed rename of `memory_local_cache` --- docs/challenges/building_challenges.md | 6 ++---- tests/integration/agent_factory.py | 16 +++++++--------- 2 files changed, 9 insertions(+), 13 deletions(-) diff --git a/docs/challenges/building_challenges.md b/docs/challenges/building_challenges.md index c62c32d0521..ad567238b0c 100644 --- a/docs/challenges/building_challenges.md +++ b/docs/challenges/building_challenges.md @@ -33,7 +33,7 @@ Create your agent fixture. ```python def kubernetes_agent( - agent_test_config, memory_local_cache, workspace: Workspace + agent_test_config, memory_json_file, workspace: Workspace ): # Please choose the commands your agent will need to beat the challenges, the full list is available in the main.py # (we 're working on a better way to design this, for now you have to look at main.py) @@ -56,7 +56,7 @@ def kubernetes_agent( agent = Agent( # We also give the AI a name ai_name="Kubernetes-Demo", - memory=memory_local_cache, + memory=memory_json_file, full_message_history=[], command_registry=command_registry, config=ai_config, @@ -131,5 +131,3 @@ def test_information_retrieval_challenge_a(kubernetes_agent, monkeypatch) -> Non ``` - - diff --git a/tests/integration/agent_factory.py b/tests/integration/agent_factory.py index 2b310f4fe85..1781a3f12e2 100644 --- a/tests/integration/agent_factory.py +++ b/tests/integration/agent_factory.py @@ -20,7 +20,7 @@ def agent_test_config(config: Config): @pytest.fixture -def memory_local_cache(agent_test_config: Config): +def memory_json_file(agent_test_config: Config): was_memory_backend = agent_test_config.memory_backend agent_test_config.set_memory_backend("json_file") @@ -104,9 +104,7 @@ def writer_agent(agent_test_config, memory_none: NoMemory, workspace: Workspace) @pytest.fixture -def memory_management_agent( - agent_test_config, memory_local_cache, workspace: Workspace -): +def memory_management_agent(agent_test_config, memory_json_file, workspace: Workspace): command_registry = CommandRegistry() command_registry.import_commands("autogpt.commands.file_operations") command_registry.import_commands("autogpt.app") @@ -126,7 +124,7 @@ def memory_management_agent( agent = Agent( ai_name="", - memory=memory_local_cache, + memory=memory_json_file, command_registry=command_registry, config=ai_config, next_action_count=0, @@ -140,7 +138,7 @@ def memory_management_agent( @pytest.fixture def get_company_revenue_agent( - agent_test_config, memory_local_cache, workspace: Workspace + agent_test_config, memory_json_file, workspace: Workspace ): command_registry = CommandRegistry() command_registry.import_commands("autogpt.commands.file_operations") @@ -159,7 +157,7 @@ def get_company_revenue_agent( Config().set_continuous_mode(False) agent = Agent( ai_name="Get-CompanyRevenue", - memory=memory_local_cache, + memory=memory_json_file, full_message_history=[], command_registry=command_registry, config=ai_config, @@ -173,7 +171,7 @@ def get_company_revenue_agent( @pytest.fixture -def kubernetes_agent(memory_local_cache, workspace: Workspace): +def kubernetes_agent(memory_json_file, workspace: Workspace): command_registry = CommandRegistry() command_registry.import_commands("autogpt.commands.file_operations") command_registry.import_commands("autogpt.app") @@ -192,7 +190,7 @@ def kubernetes_agent(memory_local_cache, workspace: Workspace): Config().set_continuous_mode(False) agent = Agent( ai_name="Kubernetes-Demo", - memory=memory_local_cache, + memory=memory_json_file, full_message_history=[], command_registry=command_registry, config=ai_config, From d8ca76d7c3193fc1ede4b74eaa6f6c4b7639356e Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 22:51:33 +0200 Subject: [PATCH 32/54] Fix memory issue in `file_operations` unit test (vol. 2) --- tests/conftest.py | 16 ++++++++++++++++ tests/integration/memory/conftest.py | 17 ----------------- tests/unit/test_file_operations.py | 7 ++++++- 3 files changed, 22 insertions(+), 18 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index 08dc2929f68..a5f12567ac5 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -4,6 +4,8 @@ import pytest from pytest_mock import MockerFixture +import autogpt.memory.vector.memory_item as vector_memory_item +import autogpt.memory.vector.providers.base as memory_provider_base from autogpt.config.config import Config from autogpt.llm import ApiManager from autogpt.memory.vector import get_memory @@ -48,6 +50,20 @@ def memory_none(agent_test_config: Config): agent_test_config.set_memory_backend(was_memory_backend) +@pytest.fixture +def mock_get_embedding(mocker: MockerFixture, embedding_dimension: int): + mocker.patch.object( + vector_memory_item, + "get_embedding", + return_value=[0.0255] * embedding_dimension, + ) + mocker.patch.object( + memory_provider_base, + "get_embedding", + return_value=[0.0255] * embedding_dimension, + ) + + @pytest.fixture() def api_manager() -> ApiManager: if ApiManager in ApiManager._instances: diff --git a/tests/integration/memory/conftest.py b/tests/integration/memory/conftest.py index b84444b69a3..6bfa8e56d26 100644 --- a/tests/integration/memory/conftest.py +++ b/tests/integration/memory/conftest.py @@ -1,9 +1,6 @@ import numpy import pytest -from pytest_mock import MockerFixture -import autogpt.memory.vector.memory_item as vector_memory_item -import autogpt.memory.vector.providers.base as memory_provider_base from autogpt.config.config import Config from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS from autogpt.memory.vector.memory_item import MemoryItem @@ -15,20 +12,6 @@ def embedding_dimension(config: Config): return OPEN_AI_EMBEDDING_MODELS[config.embedding_model].embedding_dimensions -@pytest.fixture -def mock_get_embedding(mocker: MockerFixture, embedding_dimension: int): - mocker.patch.object( - vector_memory_item, - "get_embedding", - return_value=[0.0255] * embedding_dimension, - ) - mocker.patch.object( - memory_provider_base, - "get_embedding", - return_value=[0.0255] * embedding_dimension, - ) - - @pytest.fixture def mock_embedding(embedding_dimension: int) -> Embedding: return numpy.full((1, embedding_dimension), 0.0255, numpy.float32)[0] diff --git a/tests/unit/test_file_operations.py b/tests/unit/test_file_operations.py index 47c8bce8461..aa84c919263 100644 --- a/tests/unit/test_file_operations.py +++ b/tests/unit/test_file_operations.py @@ -159,7 +159,12 @@ def test_split_file(): assert chunks == expected -def test_read_file(memory_none, test_file_with_content_path: Path, file_content): +def test_read_file( + memory_none, + mock_get_embedding, + test_file_with_content_path: Path, + file_content, +): content = file_ops.read_file(test_file_with_content_path) assert content == file_content From 5432710468b499ca4819fc9221c39318aafb4733 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 23:39:38 +0200 Subject: [PATCH 33/54] Fix circular imports in `autogpt.llm` module --- autogpt/agent/agent.py | 4 ++-- autogpt/agent/agent_manager.py | 2 +- autogpt/commands/analyze_code.py | 2 +- autogpt/commands/improve_code.py | 2 +- autogpt/commands/write_tests.py | 2 +- autogpt/json_utils/json_fix_llm.py | 2 +- autogpt/llm/__init__.py | 21 ------------------- autogpt/llm/base.py | 2 +- autogpt/llm/chat.py | 3 +-- .../llm/{llm_utils.py => utils/__init__.py} | 2 ++ autogpt/llm/{ => utils}/token_counter.py | 0 autogpt/memory/message_history.py | 2 +- autogpt/memory/vector/memory_item.py | 4 ++-- autogpt/memory/vector/utils.py | 2 +- autogpt/processing/text.py | 3 +-- autogpt/prompts/prompt.py | 2 +- autogpt/setup.py | 2 +- tests/conftest.py | 2 +- tests/integration/test_llm_utils.py | 2 +- tests/test_agent_manager.py | 2 +- tests/test_api_manager.py | 2 +- tests/test_token_counter.py | 2 +- tests/unit/test_chat.py | 2 +- tests/unit/test_get_self_feedback.py | 2 +- tests/unit/test_llm_utils.py | 2 +- 25 files changed, 26 insertions(+), 47 deletions(-) rename autogpt/llm/{llm_utils.py => utils/__init__.py} (99%) rename autogpt/llm/{ => utils}/token_counter.py (100%) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index 63f58cffd62..56fc1c86219 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -10,8 +10,8 @@ from autogpt.config.ai_config import AIConfig from autogpt.json_utils.json_fix_llm import fix_json_using_multiple_techniques from autogpt.json_utils.utilities import LLM_DEFAULT_RESPONSE_FORMAT, validate_json -from autogpt.llm import chat_with_ai, create_chat_completion, create_chat_message -from autogpt.llm.token_counter import count_string_tokens +from autogpt.llm.chat import chat_with_ai, create_chat_completion, create_chat_message +from autogpt.llm.utils import count_string_tokens from autogpt.log_cycle.log_cycle import ( FULL_MESSAGE_HISTORY_FILE_NAME, NEXT_ACTION_FILE_NAME, diff --git a/autogpt/agent/agent_manager.py b/autogpt/agent/agent_manager.py index 65141c253f5..18a10eeb38d 100644 --- a/autogpt/agent/agent_manager.py +++ b/autogpt/agent/agent_manager.py @@ -4,7 +4,7 @@ from typing import List from autogpt.config import Config -from autogpt.llm import Message, create_chat_completion +from autogpt.llm.chat import Message, create_chat_completion from autogpt.singleton import Singleton diff --git a/autogpt/commands/analyze_code.py b/autogpt/commands/analyze_code.py index cff8a737e1e..b2af33e20eb 100644 --- a/autogpt/commands/analyze_code.py +++ b/autogpt/commands/analyze_code.py @@ -2,7 +2,7 @@ from __future__ import annotations from autogpt.commands.command import command -from autogpt.llm import call_ai_function +from autogpt.llm.utils import call_ai_function @command( diff --git a/autogpt/commands/improve_code.py b/autogpt/commands/improve_code.py index ff4cf48c0dd..d2665f3ff3d 100644 --- a/autogpt/commands/improve_code.py +++ b/autogpt/commands/improve_code.py @@ -3,7 +3,7 @@ import json from autogpt.commands.command import command -from autogpt.llm import call_ai_function +from autogpt.llm.utils import call_ai_function @command( diff --git a/autogpt/commands/write_tests.py b/autogpt/commands/write_tests.py index c6a03324744..1f4c4dbbc46 100644 --- a/autogpt/commands/write_tests.py +++ b/autogpt/commands/write_tests.py @@ -4,7 +4,7 @@ import json from autogpt.commands.command import command -from autogpt.llm import call_ai_function +from autogpt.llm.utils import call_ai_function @command( diff --git a/autogpt/json_utils/json_fix_llm.py b/autogpt/json_utils/json_fix_llm.py index 73f766480de..9e9fe5338d2 100644 --- a/autogpt/json_utils/json_fix_llm.py +++ b/autogpt/json_utils/json_fix_llm.py @@ -11,7 +11,7 @@ from autogpt.config import Config from autogpt.json_utils.json_fix_general import correct_json -from autogpt.llm import call_ai_function +from autogpt.llm.utils import call_ai_function from autogpt.logs import logger from autogpt.speech import say_text diff --git a/autogpt/llm/__init__.py b/autogpt/llm/__init__.py index 76eaf3b7249..22a743c06a9 100644 --- a/autogpt/llm/__init__.py +++ b/autogpt/llm/__init__.py @@ -1,4 +1,3 @@ -from autogpt.llm.api_manager import ApiManager from autogpt.llm.base import ( ChatModelInfo, ChatModelResponse, @@ -8,18 +7,8 @@ Message, ModelInfo, ) -from autogpt.llm.chat import chat_with_ai, create_chat_message, generate_context -from autogpt.llm.llm_utils import ( - call_ai_function, - chunked_tokens, - create_chat_completion, - get_ada_embedding, -) -from autogpt.llm.modelsinfo import COSTS -from autogpt.llm.token_counter import count_message_tokens, count_string_tokens __all__ = [ - "ApiManager", "Message", "ModelInfo", "ChatModelInfo", @@ -27,14 +16,4 @@ "LLMResponse", "ChatModelResponse", "EmbeddingModelResponse", - "create_chat_message", - "generate_context", - "chat_with_ai", - "call_ai_function", - "create_chat_completion", - "get_ada_embedding", - "chunked_tokens", - "COSTS", - "count_message_tokens", - "count_string_tokens", ] diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index 742fa2ebcb1..d680b55b912 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -65,7 +65,7 @@ def add(self, message_role: Literal["system", "user", "assistant"], content: str @property def token_length(self): - from autogpt.llm.token_counter import count_message_tokens + from autogpt.llm.utils import count_message_tokens return count_message_tokens(self, self.model.name) diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 11ef9a46777..d30150d3607 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -10,8 +10,7 @@ from autogpt.config import Config from autogpt.llm.api_manager import ApiManager from autogpt.llm.base import Message -from autogpt.llm.llm_utils import create_chat_completion -from autogpt.llm.token_counter import count_message_tokens +from autogpt.llm.utils import count_message_tokens, create_chat_completion from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME from autogpt.logs import logger from autogpt.memory.vector import MemoryItem, VectorMemory diff --git a/autogpt/llm/llm_utils.py b/autogpt/llm/utils/__init__.py similarity index 99% rename from autogpt/llm/llm_utils.py rename to autogpt/llm/utils/__init__.py index 91b3c9cf686..579c5a7ca17 100644 --- a/autogpt/llm/llm_utils.py +++ b/autogpt/llm/utils/__init__.py @@ -21,6 +21,8 @@ from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS from autogpt.logs import logger +from .token_counter import * + def metered(func): """Adds ApiManager metering to functions which make OpenAI API calls""" diff --git a/autogpt/llm/token_counter.py b/autogpt/llm/utils/token_counter.py similarity index 100% rename from autogpt/llm/token_counter.py rename to autogpt/llm/utils/token_counter.py diff --git a/autogpt/memory/message_history.py b/autogpt/memory/message_history.py index 0a12a06d323..72930a61b3b 100644 --- a/autogpt/memory/message_history.py +++ b/autogpt/memory/message_history.py @@ -15,7 +15,7 @@ is_string_valid_json, ) from autogpt.llm.base import Message -from autogpt.llm.llm_utils import create_chat_completion +from autogpt.llm.utils import create_chat_completion from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME from autogpt.logs import logger from autogpt.memory.vector import VectorMemory diff --git a/autogpt/memory/vector/memory_item.py b/autogpt/memory/vector/memory_item.py index 052dfcb19e9..55766a6d498 100644 --- a/autogpt/memory/vector/memory_item.py +++ b/autogpt/memory/vector/memory_item.py @@ -7,8 +7,8 @@ import numpy as np from autogpt.config import Config -from autogpt.llm.base import Message -from autogpt.llm.token_counter import count_string_tokens +from autogpt.llm import Message +from autogpt.llm.utils import count_string_tokens from autogpt.logs import logger from autogpt.processing.text import chunk_content, split_text, summarize_text diff --git a/autogpt/memory/vector/utils.py b/autogpt/memory/vector/utils.py index 1c43aabbba0..d01f7108480 100644 --- a/autogpt/memory/vector/utils.py +++ b/autogpt/memory/vector/utils.py @@ -5,7 +5,7 @@ import openai from autogpt.config import Config -from autogpt.llm.llm_utils import metered, retry_openai_api +from autogpt.llm.utils import metered, retry_openai_api from autogpt.logs import logger Embedding = list[np.float32] | np.ndarray[Any, np.dtype[np.float32]] diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index 399da90bae5..ac5e5ca0a9e 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -7,9 +7,8 @@ from autogpt.config import Config from autogpt.llm.base import ChatPrompt -from autogpt.llm.llm_utils import create_chat_completion from autogpt.llm.providers.openai import OPEN_AI_MODELS -from autogpt.llm.token_counter import count_string_tokens +from autogpt.llm.utils import count_string_tokens, create_chat_completion from autogpt.logs import logger from autogpt.utils import batch diff --git a/autogpt/prompts/prompt.py b/autogpt/prompts/prompt.py index e69fc4b7994..eeeea3f992f 100644 --- a/autogpt/prompts/prompt.py +++ b/autogpt/prompts/prompt.py @@ -3,7 +3,7 @@ from autogpt.config.ai_config import AIConfig from autogpt.config.config import Config from autogpt.config.prompt_config import PromptConfig -from autogpt.llm import ApiManager +from autogpt.llm.api_manager import ApiManager from autogpt.logs import logger from autogpt.prompts.generator import PromptGenerator from autogpt.setup import prompt_user diff --git a/autogpt/setup.py b/autogpt/setup.py index 967645c1207..f96aa75289f 100644 --- a/autogpt/setup.py +++ b/autogpt/setup.py @@ -7,7 +7,7 @@ from autogpt import utils from autogpt.config import Config from autogpt.config.ai_config import AIConfig -from autogpt.llm import create_chat_completion +from autogpt.llm.chat import create_chat_completion from autogpt.logs import logger from autogpt.prompts.default_prompts import ( DEFAULT_SYSTEM_PROMPT_AICONFIG_AUTOMATIC, diff --git a/tests/conftest.py b/tests/conftest.py index a5f12567ac5..fde5568f5e9 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -7,7 +7,7 @@ import autogpt.memory.vector.memory_item as vector_memory_item import autogpt.memory.vector.providers.base as memory_provider_base from autogpt.config.config import Config -from autogpt.llm import ApiManager +from autogpt.llm.api_manager import ApiManager from autogpt.memory.vector import get_memory from autogpt.workspace import Workspace diff --git a/tests/integration/test_llm_utils.py b/tests/integration/test_llm_utils.py index fefc239c1ad..5bd4ead5183 100644 --- a/tests/integration/test_llm_utils.py +++ b/tests/integration/test_llm_utils.py @@ -6,7 +6,7 @@ from pytest_mock import MockerFixture from autogpt.config import Config -from autogpt.llm import llm_utils +from autogpt.llm import utils as llm_utils from autogpt.llm.api_manager import ApiManager from autogpt.llm.modelsinfo import COSTS from tests.utils import requires_api_key diff --git a/tests/test_agent_manager.py b/tests/test_agent_manager.py index e7e696ae5cd..57787b379dc 100644 --- a/tests/test_agent_manager.py +++ b/tests/test_agent_manager.py @@ -1,7 +1,7 @@ import pytest from autogpt.agent.agent_manager import AgentManager -from autogpt.llm import create_chat_completion +from autogpt.llm.chat import create_chat_completion @pytest.fixture diff --git a/tests/test_api_manager.py b/tests/test_api_manager.py index 3d0672c115b..5a863832278 100644 --- a/tests/test_api_manager.py +++ b/tests/test_api_manager.py @@ -2,7 +2,7 @@ import pytest -from autogpt.llm import COSTS, ApiManager +from autogpt.llm.api_manager import COSTS, ApiManager api_manager = ApiManager() diff --git a/tests/test_token_counter.py b/tests/test_token_counter.py index 966a0aff11c..7e3c45d1e78 100644 --- a/tests/test_token_counter.py +++ b/tests/test_token_counter.py @@ -1,6 +1,6 @@ import pytest -from autogpt.llm import count_message_tokens, count_string_tokens +from autogpt.llm.utils import count_message_tokens, count_string_tokens def test_count_message_tokens(): diff --git a/tests/unit/test_chat.py b/tests/unit/test_chat.py index 77ff94d7b2e..13a7ce0df02 100644 --- a/tests/unit/test_chat.py +++ b/tests/unit/test_chat.py @@ -2,7 +2,7 @@ import time from unittest.mock import patch -from autogpt.llm import create_chat_message, generate_context +from autogpt.llm.chat import create_chat_message, generate_context def test_happy_path_role_content(): diff --git a/tests/unit/test_get_self_feedback.py b/tests/unit/test_get_self_feedback.py index 5e59757e167..64268898f4e 100644 --- a/tests/unit/test_get_self_feedback.py +++ b/tests/unit/test_get_self_feedback.py @@ -2,7 +2,7 @@ from autogpt.agent.agent import Agent from autogpt.config import AIConfig -from autogpt.llm import create_chat_completion +from autogpt.llm.chat import create_chat_completion from autogpt.log_cycle.log_cycle import LogCycleHandler diff --git a/tests/unit/test_llm_utils.py b/tests/unit/test_llm_utils.py index 845f3f1cdab..2a8f650e53c 100644 --- a/tests/unit/test_llm_utils.py +++ b/tests/unit/test_llm_utils.py @@ -1,7 +1,7 @@ import pytest from openai.error import APIError, RateLimitError -from autogpt.llm import llm_utils +from autogpt.llm import utils as llm_utils @pytest.fixture(params=[RateLimitError, APIError]) From 130368b8023eafd4fcd2cc8fe0dd8eb96317d99a Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 18 May 2023 23:54:21 +0200 Subject: [PATCH 34/54] Fix tests --- autogpt/commands/file_operations.py | 2 +- tests/conftest.py | 22 ++++++++++++++-------- tests/integration/memory/conftest.py | 7 ------- 3 files changed, 15 insertions(+), 16 deletions(-) diff --git a/autogpt/commands/file_operations.py b/autogpt/commands/file_operations.py index 7446226aeb3..8464c034ae8 100644 --- a/autogpt/commands/file_operations.py +++ b/autogpt/commands/file_operations.py @@ -165,7 +165,7 @@ def read_file(filename: str) -> str: # TODO: invalidate/update memory when file is edited file_memory = MemoryItem.from_text_file(content, filename) - if len(file_memory.e_chunks) > 1: + if len(file_memory.chunks) > 1: return file_memory.summary return content diff --git a/tests/conftest.py b/tests/conftest.py index fde5568f5e9..f8df7eb6679 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -8,6 +8,7 @@ import autogpt.memory.vector.providers.base as memory_provider_base from autogpt.config.config import Config from autogpt.llm.api_manager import ApiManager +from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS from autogpt.memory.vector import get_memory from autogpt.workspace import Workspace @@ -40,16 +41,28 @@ def config(mocker: MockerFixture, workspace: Workspace) -> Config: yield config +@pytest.fixture() +def api_manager() -> ApiManager: + if ApiManager in ApiManager._instances: + del ApiManager._instances[ApiManager] + return ApiManager() + + @pytest.fixture def memory_none(agent_test_config: Config): was_memory_backend = agent_test_config.memory_backend agent_test_config.set_memory_backend("no_memory") - yield get_memory(agent_test_config, init=True) + yield get_memory(agent_test_config) agent_test_config.set_memory_backend(was_memory_backend) +@pytest.fixture +def embedding_dimension(config: Config): + return OPEN_AI_EMBEDDING_MODELS[config.embedding_model].embedding_dimensions + + @pytest.fixture def mock_get_embedding(mocker: MockerFixture, embedding_dimension: int): mocker.patch.object( @@ -62,10 +75,3 @@ def mock_get_embedding(mocker: MockerFixture, embedding_dimension: int): "get_embedding", return_value=[0.0255] * embedding_dimension, ) - - -@pytest.fixture() -def api_manager() -> ApiManager: - if ApiManager in ApiManager._instances: - del ApiManager._instances[ApiManager] - return ApiManager() diff --git a/tests/integration/memory/conftest.py b/tests/integration/memory/conftest.py index 6bfa8e56d26..2d09ade5e6d 100644 --- a/tests/integration/memory/conftest.py +++ b/tests/integration/memory/conftest.py @@ -1,17 +1,10 @@ import numpy import pytest -from autogpt.config.config import Config -from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS from autogpt.memory.vector.memory_item import MemoryItem from autogpt.memory.vector.utils import Embedding -@pytest.fixture -def embedding_dimension(config: Config): - return OPEN_AI_EMBEDDING_MODELS[config.embedding_model].embedding_dimensions - - @pytest.fixture def mock_embedding(embedding_dimension: int) -> Embedding: return numpy.full((1, embedding_dimension), 0.0255, numpy.float32)[0] From eb5edc583fb888294520b2eda9f778e4efd7258b Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 19 May 2023 00:18:39 +0200 Subject: [PATCH 35/54] Fix memory issue in `file_operations` unit test (vol. 3) --- tests/conftest.py | 35 +--------------------- tests/integration/memory/conftest.py | 5 ---- tests/integration/memory/utils.py | 44 ++++++++++++++++++++++++++++ tests/unit/test_file_operations.py | 22 ++++++++++++-- 4 files changed, 65 insertions(+), 41 deletions(-) create mode 100644 tests/integration/memory/utils.py diff --git a/tests/conftest.py b/tests/conftest.py index f8df7eb6679..3644fd85ffe 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -4,15 +4,11 @@ import pytest from pytest_mock import MockerFixture -import autogpt.memory.vector.memory_item as vector_memory_item -import autogpt.memory.vector.providers.base as memory_provider_base from autogpt.config.config import Config from autogpt.llm.api_manager import ApiManager -from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS -from autogpt.memory.vector import get_memory from autogpt.workspace import Workspace -pytest_plugins = ["tests.integration.agent_factory"] +pytest_plugins = ["tests.integration.agent_factory", "tests.integration.memory.utils"] PROXY = os.environ.get("PROXY") @@ -46,32 +42,3 @@ def api_manager() -> ApiManager: if ApiManager in ApiManager._instances: del ApiManager._instances[ApiManager] return ApiManager() - - -@pytest.fixture -def memory_none(agent_test_config: Config): - was_memory_backend = agent_test_config.memory_backend - - agent_test_config.set_memory_backend("no_memory") - yield get_memory(agent_test_config) - - agent_test_config.set_memory_backend(was_memory_backend) - - -@pytest.fixture -def embedding_dimension(config: Config): - return OPEN_AI_EMBEDDING_MODELS[config.embedding_model].embedding_dimensions - - -@pytest.fixture -def mock_get_embedding(mocker: MockerFixture, embedding_dimension: int): - mocker.patch.object( - vector_memory_item, - "get_embedding", - return_value=[0.0255] * embedding_dimension, - ) - mocker.patch.object( - memory_provider_base, - "get_embedding", - return_value=[0.0255] * embedding_dimension, - ) diff --git a/tests/integration/memory/conftest.py b/tests/integration/memory/conftest.py index 2d09ade5e6d..f7fe295af47 100644 --- a/tests/integration/memory/conftest.py +++ b/tests/integration/memory/conftest.py @@ -5,11 +5,6 @@ from autogpt.memory.vector.utils import Embedding -@pytest.fixture -def mock_embedding(embedding_dimension: int) -> Embedding: - return numpy.full((1, embedding_dimension), 0.0255, numpy.float32)[0] - - @pytest.fixture def memory_item(mock_embedding: Embedding): return MemoryItem( diff --git a/tests/integration/memory/utils.py b/tests/integration/memory/utils.py new file mode 100644 index 00000000000..374eab3003e --- /dev/null +++ b/tests/integration/memory/utils.py @@ -0,0 +1,44 @@ +import numpy +import pytest +from pytest_mock import MockerFixture + +import autogpt.memory.vector.memory_item as vector_memory_item +import autogpt.memory.vector.providers.base as memory_provider_base +from autogpt.config.config import Config +from autogpt.llm.providers.openai import OPEN_AI_EMBEDDING_MODELS +from autogpt.memory.vector import get_memory +from autogpt.memory.vector.utils import Embedding + + +@pytest.fixture +def embedding_dimension(config: Config): + return OPEN_AI_EMBEDDING_MODELS[config.embedding_model].embedding_dimensions + + +@pytest.fixture +def mock_embedding(embedding_dimension: int) -> Embedding: + return numpy.full((1, embedding_dimension), 0.0255, numpy.float32)[0] + + +@pytest.fixture +def mock_get_embedding(mocker: MockerFixture, embedding_dimension: int): + mocker.patch.object( + vector_memory_item, + "get_embedding", + return_value=[0.0255] * embedding_dimension, + ) + mocker.patch.object( + memory_provider_base, + "get_embedding", + return_value=[0.0255] * embedding_dimension, + ) + + +@pytest.fixture +def memory_none(agent_test_config: Config, mock_get_embedding): + was_memory_backend = agent_test_config.memory_backend + + agent_test_config.set_memory_backend("no_memory") + yield get_memory(agent_test_config) + + agent_test_config.set_memory_backend(was_memory_backend) diff --git a/tests/unit/test_file_operations.py b/tests/unit/test_file_operations.py index aa84c919263..c208426d580 100644 --- a/tests/unit/test_file_operations.py +++ b/tests/unit/test_file_operations.py @@ -13,6 +13,8 @@ import autogpt.commands.file_operations as file_ops from autogpt.config import Config +from autogpt.memory.vector.memory_item import MemoryItem +from autogpt.memory.vector.utils import Embedding from autogpt.utils import readable_file_size from autogpt.workspace import Workspace @@ -22,6 +24,23 @@ def file_content(): return "This is a test file.\n" +@pytest.fixture() +def mock_MemoryItem_from_text(mocker: MockerFixture, mock_embedding: Embedding): + mocker.patch.object( + file_ops.MemoryItem, + "from_text", + new=lambda content, source_type, metadata: MemoryItem( + raw_content=content, + summary=f"Summary of content '{content}'", + chunk_summaries=[f"Summary of content '{content}'"], + chunks=[content], + e_summary=mock_embedding, + e_chunks=[mock_embedding], + metadata=metadata | {"source_type": source_type}, + ), + ) + + @pytest.fixture() def test_file_path(config, workspace: Workspace): return workspace.get_path("test_file.txt") @@ -160,8 +179,7 @@ def test_split_file(): def test_read_file( - memory_none, - mock_get_embedding, + mock_MemoryItem_from_text, test_file_with_content_path: Path, file_content, ): From b1ae8cf6a49dbd3b9112876179bd2d239780c630 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 19 May 2023 02:10:28 +0200 Subject: [PATCH 36/54] Process feedback from @collijk on PR #4208 --- autogpt/agent/__init__.py | 4 +- autogpt/commands/web_selenium.py | 4 -- autogpt/llm/api_manager.py | 1 + autogpt/llm/base.py | 2 +- autogpt/llm/chat.py | 52 ++++++++----------------- autogpt/memory/vector/providers/base.py | 6 +++ autogpt/processing/text.py | 2 +- 7 files changed, 27 insertions(+), 44 deletions(-) diff --git a/autogpt/agent/__init__.py b/autogpt/agent/__init__.py index c1a51fb09ec..e928af2205b 100644 --- a/autogpt/agent/__init__.py +++ b/autogpt/agent/__init__.py @@ -1,4 +1,4 @@ -from .agent import Agent -from .agent_manager import AgentManager +from autogpt.agent.agent import Agent +from autogpt.agent.agent_manager import AgentManager __all__ = ["Agent", "AgentManager"] diff --git a/autogpt/commands/web_selenium.py b/autogpt/commands/web_selenium.py index 1500aea3e04..72f849d046f 100644 --- a/autogpt/commands/web_selenium.py +++ b/autogpt/commands/web_selenium.py @@ -223,10 +223,6 @@ def summarize_memorize_webpage( memory = get_memory(CFG) - if isinstance(memory, NoMemory): - summary, _ = summarize_text(text, question=question) - return summary - new_memory = MemoryItem.from_webpage(text, url, question=question) memory.add(new_memory) return new_memory.summary diff --git a/autogpt/llm/api_manager.py b/autogpt/llm/api_manager.py index 0a6a4506091..ac6c7531234 100644 --- a/autogpt/llm/api_manager.py +++ b/autogpt/llm/api_manager.py @@ -75,6 +75,7 @@ def update_cost(self, prompt_tokens, completion_tokens, model: str): completion_tokens (int): The number of tokens used in the completion. model (str): The model used for the API call. """ + # the .model property in API responses can contain version suffixes like -v2 model = model[:-3] if model.endswith("-v2") else model self.total_prompt_tokens += prompt_tokens diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index d680b55b912..4f9f4a368ac 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -69,7 +69,7 @@ def token_length(self): return count_message_tokens(self, self.model.name) - def __str__(self): + def dump(self) -> str: SEPARATOR_LENGTH = 42 def separator(text: str): diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index d30150d3607..a437f3c6a4e 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -32,36 +32,6 @@ def create_chat_message(role: str, content: str) -> Message: return {"role": role, "content": content} -def generate_context( - system_prompt: str, - relevant_memory: list[MemoryItem], - full_message_history: list[Message], - model: str, -): - current_context = [ - create_chat_message("system", system_prompt), - create_chat_message( - "system", f"The current time and date is {time.strftime('%c')}" - ), - # create_chat_message( - # "system", - # f"This reminds you of these events from your past:\n{relevant_memory}\n\n", - # ), - ] - - # Add messages from the full message history until we reach the token limit - next_message_to_add_index = len(full_message_history) - 1 - insertion_index = len(current_context) - # Count the currently used tokens - current_tokens_used = count_message_tokens(current_context, model) - return ( - next_message_to_add_index, - current_tokens_used, - insertion_index, - current_context, - ) - - # TODO: Change debug from hardcode to argument def chat_with_ai( agent: Agent, @@ -100,12 +70,22 @@ def chat_with_ai( # logger.debug(f"Memory Stats: {agent.memory.get_stats()}") relevant_memory = [] - ( - next_message_to_add_index, - current_tokens_used, - insertion_index, - message_chain, - ) = generate_context(system_prompt, relevant_memory, agent.history, model) + message_chain = [ + create_chat_message("system", system_prompt), + create_chat_message( + "system", f"The current time and date is {time.strftime('%c')}" + ), + # create_chat_message( + # "system", + # f"This reminds you of these events from your past:\n{relevant_memory}\n\n", + # ), + ] + + # Add messages from the full message history until we reach the token limit + next_message_to_add_index = len(agent.history) - 1 + insertion_index = len(message_chain) + # Count the currently used tokens + current_tokens_used = count_message_tokens(message_chain, model) # while current_tokens_used > 2500: # # remove memories until we are under 2500 tokens diff --git a/autogpt/memory/vector/providers/base.py b/autogpt/memory/vector/providers/base.py index fd895f386a8..969d893476e 100644 --- a/autogpt/memory/vector/providers/base.py +++ b/autogpt/memory/vector/providers/base.py @@ -1,8 +1,10 @@ +import abc import functools from typing import MutableSet, Sequence import numpy as np +from autogpt.config.config import Config from autogpt.logs import logger from autogpt.singleton import AbstractSingleton @@ -11,6 +13,10 @@ class VectorMemoryProvider(MutableSet[MemoryItem], AbstractSingleton): + @abc.abstractmethod + def __init__(self, config: Config): + pass + def get(self, query: str) -> MemoryItemRelevance | None: """ Gets the data from the memory that is most relevant to the given query. diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index ac5e5ca0a9e..1d63a5423c9 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -109,7 +109,7 @@ def summarize_text( # "Only respond with a concise summary or description of the user message." ) - logger.debug(f"Summarizing with {model}:\n{summarization_prompt}\n") + logger.debug(f"Summarizing with {model}:\n{summarization_prompt.dump()}\n") summary = create_chat_completion( summarization_prompt, model, temperature=0, max_tokens=500 ) From 79204eeebf1474295a75523e3958495e32cb1d78 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 19 May 2023 02:44:57 +0200 Subject: [PATCH 37/54] Remove out of use `get_ada_embedding()` and helpers --- autogpt/llm/utils/__init__.py | 87 - .../test_get_ada_embedding.yaml | 168 -- .../test_get_ada_embedding_large_context.yaml | 1484 ----------------- tests/integration/test_llm_utils.py | 65 - tests/unit/test_llm_utils.py | 30 - 5 files changed, 1834 deletions(-) delete mode 100644 tests/integration/cassettes/test_llm_utils/test_get_ada_embedding.yaml delete mode 100644 tests/integration/cassettes/test_llm_utils/test_get_ada_embedding_large_context.yaml delete mode 100644 tests/integration/test_llm_utils.py diff --git a/autogpt/llm/utils/__init__.py b/autogpt/llm/utils/__init__.py index 579c5a7ca17..0c80dc6e919 100644 --- a/autogpt/llm/utils/__init__.py +++ b/autogpt/llm/utils/__init__.py @@ -241,90 +241,3 @@ def create_chat_completion( continue resp = plugin.on_response(resp) return resp - - -def batch(iterable, n): - """Batch data into tuples of length n. The last batch may be shorter.""" - # batched('ABCDEFG', 3) --> ABC DEF G - if n < 1: - raise ValueError("n must be at least one") - it = iter(iterable) - while batch := tuple(islice(it, n)): - yield batch - - -def chunked_tokens(text: str, for_model: str, chunk_length: int): - tokenizer = tiktoken.encoding_for_model(for_model) - tokens = tokenizer.encode(text) - chunks_iterator = batch(tokens, chunk_length) - yield from chunks_iterator - - -def get_ada_embedding(text: str) -> List[float]: - """Get an embedding from the ada model. - - Args: - text (str): The text to embed. - - Returns: - List[float]: The embedding. - """ - cfg = Config() - model = cfg.embedding_model - text = text.replace("\n", " ") - - if cfg.use_azure: - kwargs = {"engine": cfg.get_azure_deployment_id_for_model(model)} - else: - kwargs = {"model": model} - - embedding = create_embedding(text, **kwargs) - return embedding - - -@retry_openai_api() -def create_embedding( - text: str, - *_, - **kwargs, -) -> openai.Embedding: - """Create an embedding using the OpenAI API - - Args: - text (str): The text to embed. - kwargs: Other arguments to pass to the OpenAI API embedding creation call. - - Returns: - openai.Embedding: The embedding object. - """ - cfg = Config() - token_limit = OPEN_AI_EMBEDDING_MODELS[cfg.embedding_model].max_tokens - - chunk_embeddings = [] - chunk_lengths = [] - for chunk in chunked_tokens( - text, - for_model=cfg.embedding_model, - chunk_length=token_limit, - ): - embedding = openai.Embedding.create( - input=[chunk], - api_key=cfg.openai_api_key, - **kwargs, - ) - api_manager = ApiManager() - api_manager.update_cost( - prompt_tokens=embedding.usage.prompt_tokens, - completion_tokens=0, - model=cfg.embedding_model, - ) - chunk_embeddings.append(embedding["data"][0]["embedding"]) - chunk_lengths.append(len(chunk)) - - # do weighted avg - chunk_embeddings = np.average(chunk_embeddings, axis=0, weights=chunk_lengths) - chunk_embeddings = chunk_embeddings / np.linalg.norm( - chunk_embeddings - ) # normalize the length to one - chunk_embeddings = chunk_embeddings.tolist() - return chunk_embeddings diff --git a/tests/integration/cassettes/test_llm_utils/test_get_ada_embedding.yaml b/tests/integration/cassettes/test_llm_utils/test_get_ada_embedding.yaml deleted file mode 100644 index ec4636e0972..00000000000 --- a/tests/integration/cassettes/test_llm_utils/test_get_ada_embedding.yaml +++ /dev/null @@ -1,168 +0,0 @@ -interactions: -- request: - body: '{"input": [[1985]], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '83' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaSxO6Orvl5++n2LWn9FsiIgl7xl3kkiAgYldXlyAiKHJNgJw6371L/6dOd08c - QAqV5HnWWr/kP/71119/t1ld5NPf//z197sap7//x/fa/Tbd/v7nr//5r7/++uuv//h9/n8jiyYr - 7vfqU/6G/25Wn3ux/P3PX/x/X/m/g/756++DcanIKGZXd/X5SZTuBpdQW6+lYQqkfQ5NFN8pSgIw - zBGFBLyF+0x9ZATRzFVcC+xx3aJPfw3cJaBFA2RnibBlW4EuBNKhlLJ5dbH/QRJYDniFELe0Ryw1 - zy4l2M8lVX4IVLvccrDkD26WikG50PuxCQFdnkwEiSTcsFJvgcv2m6mB50DfUpu5FLAPV1ZQMZ8b - IvW7azZ//KsHo/R9nYA/OPXa3M0WXkbEI3Dus2z9lNsEjEngUv+4PdWrN6EKdpdVoMba1vqqHZkH - b+fNG4mbTQRmWGsFxIdzQM3Kfkbt1AUcBI3doc1xk9ZLJVoC3ClDSm3yBtl4AC8Bvk47CzunCbFl - aqkGQtGR0A74sT4HY8DDq8puaE3xHC1C9H7BD749CHUSFM03CxuwDd2YQD5eskks+B4idSLUZd1V - n+fOt2FzPT2pkptdNtu6EQD6Cg2sRFSr1/NdKvcmSu74EM8ioDerUyT9vHfIWElpvUwkz0F2c2e0 - vXpNNvuXsQe81EdofRp6LfDVTYMNUUx6PtQEjL//y79kHiuu1mRzc3xWsDg6TwQepu6OOhkEae88 - TKzIbykanVhZ5SOLI3zWZCmjogx6OCXDhAT9yuoulKYevMWdRl2+GOtu9W6a9CHZBxvBramHc8Up - MNsImCJ0jBgThDiA13A6U8UU5IxJ8keQGG8I2At5RecPahjD4yJBrGZgAl2aDgjGwQth47BVXR5l - eQyPQVnRMISPjMUvNgNJeRm4GC/BsMh0SsDUKRt6PB+LelHlIJCl9SYjYfewsjbe5Rb8MNvDONKd - gclhbEAMywgba6u762TdAkjVIkJrd3Pc9antBBgEgUIEXZPZdDzHL/hCTxEtOGkHtg5XBQiuvsUe - DR76a+oCCDe720rWtGncxT69JHi49BTbp/jo8vxe5mEjlx02733NVuNIb4BDao0PgNnDnOWLBoNH - YlB8ebb6ulyVUS5at8MW8c5DeVb2IdQv8RN7R9F02VEWRxBM2Yka77HVZzqLMbwdpBSJVyNzRymr - rY2zKwusPUQpIrNlFYC+AgOHmmCxbfbkS3mMeR47t0UB/ImJHvBP64C4GV/rebiFCKKw66h78mRA - twSKwOJ5DtvXng4ru62tlPsgx+63Hpep/Sgwm2cXH55jxNZzfL4BkkeYHPqNMVBkCSFkaL8isbq4 - gPmml0AnmldsPYNbvYiZBwEcZhcHqV9my/bSWVDZRwOaUSyxWs4WT17k15keClcZmCRTHua8lmGn - 2QTR9CDbEtabDUaSqLHoMsfUkgoo+WRNL5+oc6ruJqnc3qeeHIwRldNjBXb81aCHeE7ZOnKrAMs6 - JeRZtn00qXIQwho5Cek+J21Y5/NJg547drRQwStaLreWg+M2irB7ZM96em4kDSiX65bsDjAeRv5o - FxDt+JEqUVmzWUkwhD23rthXls0wLRvTAWgnjGhV9/nQ77ZKLpUhxNTYmEs0LU5pyNKTK4gEBjmb - 9N1DA/zhpmPNutz0JdZ8A3Kq4OOD8HnUtBma8M99fXOpaxLfHF56VUxFwtozfS10vYc5jhl671zD - 7ayTOErIrC4EGB9xmPbVK4aBW2dorrdAXwN9HGExwJCikPu4zMx2BF6OmU6k0DCGuXWjXLKi/EVj - 6cPYlD+EGSr704CPt/NnWBRijjBqDzLaXMIuYrvNkgIm5DYRWWXWs7XbOlC0e4/aBlcNzNn0PcyX - 4YiA8UmHlRVVDBsOKvQU8Za+RmkqgcwZPIy2xgiWNNzOsBncC9Wt/D6Q7a0RwFsKrlhP44ixuK1z - mJ9QT93w2LqzFJocrO+tRA9G1NdLW18R7N2qIuLuRoalfTwrYMvjTOZvf1qorhBgHHuB6tK+cef9 - dXFgBIUnqTt7x2b1/kkgi/oLavuDDKZdJdrSSqWeatz5zOa38EHAy7BPzYDYYAG9ToDs9yrhv/O7 - 3kQ7Br4WHLD71bdOeCgF5OhVRnJYTWDmzWCG7gXK2MxhmlH95s9gPrsaPvrPul6GduWhpZUdPp5a - N2PcoxThd/6pJrx1sN5EJYGnk8OhrdsLw7AUhgfdNssRF36WqOtJGUDH9I5Ym54LYx6gDjjipiH8 - GzRgILEkwqnjJHqA2qGeuYfFwfO6a5Akth82c+RUwlZrZ3o+eHt3GRvZAiS7xPiwOw86I0WqASsq - XiiYHiqYL1AeAa34CTufxHKX61vUwIDHiR6bOM3owxV4MCXdhM3g4ej8RRs8OBlsR80VvrMlLdIW - 3nfBgJXJ9tz3tXReEIKAYteXjtHylLwGevfXA59j+VMvt9vZhtKaythJKk0XnCFuwFefscdLJhtP - bPZkJd16JMolO2PGpChw674Q4QXqsDnzm1y69MuduvxWi3jyiRA8bz2Rekfxra/2W4JwSk0DR8G5 - 1ufr6Qkh+qQ+eX/1tputOYUtvzHJOnU2W80EImmTcBHa8Ks0LPYlTOC2O26o/yjs73qiyR9/5CVW - XM/LPJbgFFUB2QUiZatq6RUsJPVB5u/7FOIks+HhaliIPWSZjUXjJHB95C69U3DRp+zJV0BYbJ6c - 0rAG7KffB6kosW/K7bCcmBVAk5Idtk/1h43h6CuSu79cUNTZF0DuYPSAWRkOmWt5dafuPqxwDdID - RuVRdZmcuCvciMlEXSW9slV1Zw74/rPCSF6O7uortgAJ6Z9oEndrNKLXksPMs2qqHhRNHxkALyhe - vC1GZr4b5lrqCYyO1pZaqcTrHXgVAbwcNiN267qsV2z2OZzsV0ldheJh1nrowBRr7/96fxetRvBU - azySmk2Qje1JEeHWbRD1YL9j1FPzFiaf2id9EunZ+pATGy59ZKNdIGLwez5wwnOGjbJ86Gy6lTG0 - 3vHtT723vJnOcCPGE3a//WnZVbMDY+7IYeWtGtkCWMtDn/VP9OaAoDMuSBLAKamAtdi26+UdVCv0 - nxHGB0/P63arZ8p+P8aAjKfdFgxTIvYSSooQqy0NdRbWqgDezcajWno5RLO5X0W407WeOob7yGbX - OzcSnYH01e8SzHSeEyjPUkidgdcH5sqjBEs+7mgx4339HtpVgKfH1FBNSEyXP1qAg+vmiqj9XHYZ - M7o0gWP4qAhI1MWdw9HUYErUiXqqvrB5TIpv/QoT1qT7yBbnagRAfUgmthscg4UF6igp/aTR42ab - DvOYezYYNchh/bW/6qPJm7lUJCeGkjXjs7EWmAIN1/Cxsk+ygcwukCCIA4aNoHtHdMCnAOyPTwfj - G8uHpRh8Afh+XSGiOfXPn/HAj5CGBKa2jKJE4aExFh+qtJH4/X1eCEP9HpE9pYrO25u4grz+vmHn - 5o4ZScclgGVVMNTZgLqtsWYljPJUo97xibOlPro3aXEDhUbcbR+tGZgVyNXeh6r5rEbjKh17OJ+P - GrX7gg0lW4sc7PjMoLb9GdksWoIEHTUryV5528OuhwUH6xzX1ASdWn/rPQbVkLwRj/kFLP6wjlB7 - 4hrJqDfA1m1OhmQJwZlG5XrK/ughamObmvrwZrPjDC0wN35GcQsUIDiLpsHwfD5SDfcO4B2nbqF0 - 0mqql+sSMRSebHghLwsHXVC79OfHp1ueYPu+J1EHl9oCxFsHqj9Tk9EPM3t4etAGH+73rT7LzeqA - 0UjP3/mANT2MPJKm4XbCasRb7uI3fgjuZ/FEHfG0uuNmjGYQcy6HXpL6yKbaPdrwlzd1IWuHpZxp - DrFcINJ882XHrLEBh0tLv/mnGlbFPoYgDcQc65L7za9bQ4GOESJqQU8DW+tc3sCoPj/Y3Yk70FWH - aw4DeTeTfWVe69mSqwamD67E5tfv7OxeKCC+kopsK/uZLbOcIVDySUd21/eoz3TQJCg81itWlxxF - 8x4VIQzoWiNxF16GOS9bAukzS4i8v1tgvVw3CkRvTsAq92n1dc3nVN5fNx15g04dhL0g3eDY2io1 - Y/kzrKNRxrK6hCV2HU3Jfs8D4oGcsKY9Fn1BtL8BdFYAdeAxc8k3/8GnlgmoV/rRnRtzEX71RK83 - q/35j1jKK/tNfdS/wHxvFQu8zWYlUXDW9bksHg7sbo6N3SRt2PrJsARffL9DrDcrdyBp38DPfCoQ - f38r2Swmai5/x1Nlu22jKaDFC7KovRDh5FTunBp3WwqCUKEqunLR3KVlKC+39YX4aUjBKD+NEX7X - P1r22UOfYzbeoDffTtS5uV7GErZW0h+9KQJDX0JBhkDfLQo1N09nmL/5Bhiu5VPjmqjD7tUYLSik - EpA6ZsqwO2VVDlKiT+h1KIaoS4ugBd/5or/1O3qBGcD0yV/oY5tifW0rGoKNadyRYFuBy0javwD4 - NMo3f94zFtZH/ud/aELW/pvXRgluwfP0x68vh2tg/PG/1tpHOvXUuP/lETKpQslI5AkatGqgI5k/ - 3cGiawuE9VPSyfztZ+xZ1go8v8cYeyipavbzb/GjD6minXuXFLrbg7g01m8+7Fxat9oN4g+j1AIX - nH3rrwVj66gYJY9b1L8uLw1WtpqSLd6fM4YsLtj7fJNjJMIzWPL3ywMavozUupb20AfSoYILtDn6 - 84vELv0S5kpIkbjrpuwPfwmGjYQku8uBcFtvEiSkfRIQHludJa8PhEuyAei1trU708ER4SSHB3zU - W06fV9Ks8BxeD1SP0rSe57UP4VooPFbf1gHM6LUUcvp4GGT51gfbA1mE9f1YYLuRlWi9kgGB4C5O - 9GAvtvu5yjoPz5pYY4zugst2+tOBumSH1LxHyJ0jyo9wauua7O3XNVtMO2tg7+V3IontAcxD/Jqh - ubwIvbc6ijrTqCXotpJIFc5FbHYvcw4vnNFj5z5u6mWWIw8qkt/Qg3cLszXnPR7IhVVS1XluMxI/ - xBBAKeapW5ApY5301mBNDlck2h8PrMn7JIJFbs7UiJ8kG03B9cDxWdzx8aPVbOVUmUBouguxfbPP - mKjWNxhGYEWQj0/ZrJOa/62fnz7U6zPUUjgEbfdnfuf8VDgwy94HrMe+566L/+bhKPgIl7zI6U8h - mhrw3oHDL78z9s3nIqGvHDvGEjG25ftY+vYDrGsvvp6PKioBMFaMxML29UXfXRTw43nuLaBgvb6R - Bb/8B9FI74f5+RbKXx6jaJtVQ0f3Q7k/12cNB3nc6lRO1QoWAxeixi1BtPiNGUL+teGpbQvD0Pey - IoLp824JTO59NpNJ6SFVFEjawWh1VlbtDF/K3qUG94CMvqdRA6p7fP78l7twyyPYJ3ZlYr+ePjW5 - vi0L1iVnozJc02hOHa2Rv36ILOUprpcj/tjw+rY+2Dm/d4xOJ92Tf/xJfTAB0N96JpxrUttQ02ht - xgDJ19gZ8c//rBN7QMDrJkedOVSzMWzPMdyOyoT2xn2pxy9fg21cNtP+vHPcHnGuBiEkFlW2mDHm - OfsZdpYAsMKLhT5eT08OjALpCfzsNLaquO1hcZgcwhwJuIvbXA1gb5wDko4XO1vEArbAvXAyteFh - cNnpLGvQng2dPkprqic+WlJZGe0r2fNmw358FBRJxMii6Zcf38x/+QXndfvSf/4QvJ6XHmvRvhtY - 4D0k6W7A5Ntv+2H83oe2m2Y0g9D55rVAg/0oQiKxswB6Im0SiWxMheL9Z2LdMPYV+OWH42mjusTM - ux7MZltgMy0k1ke58gLf+aFq7nhgTjiQ/3nf2mVZh+HKGgIDeTtj7CQkI6qSWFAUP5i8u+d9oD1M - uP03X9JDFdpRb5XXGG4dZ0fN4NG7bMcXJehasqBebD9gXiW1lW9pvKO6ewrAt7+uwB1Ch2rlNAHW - 8bsGfip0Ii/8Zjq7bo4N+PJq+s1/YHs+vnK4+YjoD+9dvFeWAF0cAT7l12Egx3qL4ErFnhpxiIf9 - GV9FuM5Cg60mr4cF7oIS6s3WJFs327G1GVMEI3nOqbbfpdGojXsR7urHEYlfXracuM4B37z8zW9P - 0FOtWIF9D05fvnZnzO65HIIXDfHXr331UirBTn1H1OCEsP7pgXQqh4rI85Vn6+/9LE5ikr3/rIcv - b7Z+/AEf4aq7c+ebKQDGjIkgVLk+7697B2qCpJGBuqCeOHbWwEswEI6mZpuRn14GhG/JJtKd+udX - 4I9H+8dmZfP97At/+MzmxuAw4c/Og/sxAdTyzoQxJeBz8PE39pdv7/W3U3UpLDUlxt4NfMD4q9d3 - lxT4y1N0iryBQLe95tRNPu9h0TYOAvBS6/T40XS2rHYfSycGKbVhcmRbAroQLgN5YG+gA+sfFkhg - 2PYJEoT9AkZwfcdgE79V6pq+r/M6fwqg3qEL9peDEs1uqCtw95JK8tRufs1AUNnAOJxe1Do5mr47 - inog/fR9zmPb/fILBRKXn7G3T/WMbu61DS89uyMAETeQjU57sG4yRIZZoe46n68KtNj1g621Z+54 - VK0S2l6c4JsalD+9QeCb12mmcChbrdsg/vIZxpxfRayMCg++L0WLoDFCl11lXQDvs5lQnz/J7Mej - gZvUzc+/RuyRqSncZ1eFfv25y3/rWT6cT3eMkiCrd+mIE7BjoMX6+/OqWXWTX/CrF4QT4ZbNh+3m - 9ocXWf1QZXMfbC3ocXBPvTPl2Ki3XAo43q7oob/OP55syGopqPSX10lTAQPoUS1SWynf7penoD9+ - 6dSdrXoXk1SERg71n37UfSY4DfzuT2C9I162Oz1CBxo599O/dlhF5hB4E5cEF8MCAG2WbIR5sb38 - /HJEj2pbwN4r7ljV9B2YuQeCkmJtEsRzjxysxZ4UkJ6klSoXdacT64RmcNw8O3pQjIFR7TlDuM2s - FStqumEL3KUV7EygIMsbXwPtD3tJEh6BjP0xnPSfvsBbAkpSfCIuY0HoJ0AXLh2av3x6Fpw1he5B - 1bC2zPMwvgXqwaOPY4pbfxvN8f4kyE8zeFFzIyqR8Ov/H1+2qdL2ZOgVWw3+jDfubyXaYWfiwIdc - P9SrpHR4PbeqAdqoGagenHWXLP7E//whPpyTKWNfvyh/88mf/YWV2h4C1s4LsDMgqtP4YSXQo/mZ - BhMph13Udx7cbZMNgS/ryabuo4jwiFyMcXRTsuWbp6BUPg/kQ1EdLQFNGrgxrTs2pE8E+tsaSvAy - te6Pp4AJLoMB9XiDsdtMhb5uu30KN9GxR2y6JMP84rcB1IVzh7oqx9my9ZAnhfvXif78ycKUjQPS - zb7+7S8w8kQ3AkVJawjvbIp6XuUlgbzURmQP19plV9aMsBssHZtA93Xy88O/vK+ViaiP0r0U5K8f - psahcKNZcKQbbFwUY6x2oT6/KBbAb/9HxyWuZ+mZVjByKo/65oV3R/zwNPjjZUyITsMo908e3LVD - S/g4pDWTkOj94Y+XdHOpZ16wbLgRhSOST/CarSMnCWDevp/426/An/xvc+1Av+uVzXIj2dI+Fy5Y - iY7IpZddj8D+qhK0+er7aqR7CAso+kRsmr6epQu7yTW2Ttj/wCaaP5z1gostEqpc0hHQIuo18OXZ - ZJGO/cDsXsjB8T4w0hqqGHV0k3I//4rV6D5n9P1CEjjs9SO27mrGGA6iFGZw80Q722U1WY6cLe2U - LsV2RdRhXvkcwfAyZjTcbnBGfzx4t26m335a9NvvBV8egY+k58A01GYKv/yY+rMj6N3LA9ZPn7AD - d80wbMWbAr/9AvuqoLBp3r1n+M1zROhj7+tPrQpu1BNP3nZaRUtyaEZ4xK+G/Pj1ck2mAv78uTek - gt5utrMo/fTLFHiSrVn/GeUfn4y/ej0XVdjCe5xLGD0kTWeKb8ywAsz4+jPObVM8a/CsSTVG/srp - 0zBWJfyUq0Qkv/m4q+ynrz/1AGrPYaszxC8Q5I8EzdrZ0dmLditYrhcfW5X/YqOPDhW8XVf05XOb - aC3sxYITjD2qLM1xYCu1R2guDUFSv9tnP14n9/dbivFxkw5ffbaBwCqLKi/j5tIHbsr9ZVOpWHck - oLPrPnZk8zsT6BNx0dgdzyOA1tum+uodwWrdakn8+3cq4D//9ddf/+t3wqBp78X7ezBgKpbp3/99 - VODft/vt3zwv/JsKf04ikPFWFn//81+HEP7uhrbppv89ta/iM/79z1/bP6cN/p7a6fb+fy7/6/td - //mv/wMAAP//AwDOXgQl4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c09bf823fb50b70-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 01 May 2023 17:29:41 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '69' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 555d4ffdb6ceac9f62f60bb64d87170d - status: - code: 200 - message: OK -version: 1 diff --git a/tests/integration/cassettes/test_llm_utils/test_get_ada_embedding_large_context.yaml b/tests/integration/cassettes/test_llm_utils/test_get_ada_embedding_large_context.yaml deleted file mode 100644 index b6d6a75b019..00000000000 --- a/tests/integration/cassettes/test_llm_utils/test_get_ada_embedding_large_context.yaml +++ /dev/null @@ -1,1484 +0,0 @@ -interactions: -- request: - body: '{"input": [[5289, 564, 71, 773, 89, 2332, 19747, 87, 664, 71, 8311, 85, - 392, 25299, 11032, 940, 89, 85, 398, 80, 73, 5481, 48558, 86, 1919, 1634, 8890, - 5346, 44185, 53060, 450, 392, 68273, 64145, 511, 77, 80, 3696, 71, 2042, 28990, - 44490, 19456, 89, 21807, 44490, 6331, 3180, 23361, 71, 455, 76, 583, 87, 21436, - 34695, 352, 70, 953, 278, 59524, 2857, 93000, 641, 6043, 73, 70, 36463, 7141, - 21807, 391, 1273, 8536, 566, 71, 7513, 580, 263, 936, 10333, 86, 983, 822, 9700, - 73, 3316, 80, 1320, 365, 27278, 564, 67, 12591, 3576, 36851, 2465, 1739, 657, - 6375, 89, 23361, 6885, 352, 88, 14046, 292, 70, 32204, 648, 300, 73, 32547, - 869, 20854, 28679, 89, 11805, 70, 9081, 80, 11251, 87, 28679, 6194, 85, 906, - 64, 300, 16501, 70494, 6511, 51622, 87, 80, 8462, 295, 13536, 49463, 604, 64, - 333, 79, 302, 5469, 36068, 267, 5289, 19870, 911, 71, 587, 4912, 32868, 64087, - 22650, 89, 3368, 83, 50798, 391, 273, 365, 72, 1233, 604, 3858, 48380, 710, - 6375, 93000, 3013, 427, 7796, 66, 11160, 77, 10910, 85, 4777, 5969, 276, 7717, - 87, 71, 21325, 80, 73389, 3576, 86, 29238, 544, 1026, 31019, 20218, 3524, 64, - 7270, 7783, 80, 1498, 77, 1739, 5979, 327, 49450, 1791, 36409, 86, 582, 894, - 73, 85, 89, 2174, 87, 40494, 20824, 40078, 89, 80, 4317, 1609, 85, 3601, 73, - 86, 36068, 894, 56871, 89, 4680, 67, 2562, 1494, 6331, 16017, 2332, 21046, 86, - 11823, 18854, 85, 10616, 85, 23913, 73, 86682, 441, 1494, 360, 1978, 3013, 2562, - 511, 86, 427, 5298, 81, 2580, 89835, 14694, 86, 3059, 26738, 65736, 84, 1394, - 4458, 677, 85, 3368, 71, 15479, 391, 713, 35531, 566, 94869, 325, 14029, 52360, - 80, 406, 1290, 10616, 79, 773, 3315, 365, 89, 73, 2111, 13045, 73, 89, 14694, - 710, 95210, 1804, 79, 20824, 80, 4086, 19555, 936, 1091, 301, 936, 1494, 73, - 10784, 1029, 77, 1302, 1310, 86, 80, 24752, 89, 73, 89, 1302, 343, 38977, 324, - 25457, 9902, 88, 4168, 67, 3841, 953, 96518, 4777, 3696, 80, 61057, 90563, 80, - 20127, 86, 3418, 24672, 80, 796, 88, 85, 1026, 80, 8910, 285, 7864, 406, 14694, - 454, 361, 85245, 83, 664, 43210, 3368, 27278, 9832, 89, 5010, 89, 762, 86, 19747, - 299, 23808, 69057, 80, 4922, 20211, 71, 73, 404, 89, 1395, 830, 939, 5298, 402, - 83, 80, 70, 1631, 97582, 3306, 7387, 73, 89, 2034, 66, 3906, 53060, 339, 343, - 582, 2465, 80, 52926, 2642, 1739, 69057, 3906, 13649, 85, 3178, 291, 66, 267, - 67910, 24672, 2201, 2933, 34175, 4777, 23361, 10784, 73, 764, 1517, 87, 12825, - 49755, 24752, 89, 265, 307, 85, 80, 689, 332, 1331, 76, 1031, 1658, 325, 2303, - 36851, 87, 8892, 365, 87, 402, 17606, 80, 12407, 4341, 85, 78498, 370, 3074, - 455, 44183, 79224, 830, 20811, 906, 361, 73, 2580, 80, 359, 258, 10753, 2329, - 37406, 50139, 67702, 10616, 56029, 7513, 2438, 402, 3258, 80, 22491, 4748, 359, - 41129, 2034, 11032, 1658, 65, 3714, 65, 1919, 40153, 363, 2580, 52333, 73, 87, - 80, 45015, 4086, 3141, 69, 392, 76, 19747, 21486, 708, 88, 1273, 21486, 85, - 764, 67, 16373, 4223, 641, 53060, 784, 8977, 73, 85, 1739, 6043, 321, 89, 18571, - 49450, 32589, 450, 88, 2303, 62497, 49595, 80, 49755, 1494, 80, 302, 2689, 87, - 29238, 89, 1551, 8088, 76, 20926, 87, 2034, 66, 785, 22873, 53060, 8480, 708, - 88, 906, 73, 4680, 80, 22119, 89, 398, 78498, 1919, 67, 64087, 318, 24409, 869, - 754, 20990, 1498, 23760, 648, 728, 89, 22619, 29224, 1216, 2933, 85, 1386, 8587, - 7737, 87, 17043, 24990, 70561, 47171, 6375, 67, 1073, 85, 89835, 3933, 85407, - 564, 38359, 3647, 60338, 89, 17008, 10079, 80, 385, 1394, 32837, 1247, 14170, - 74, 936, 1658, 87, 73, 365, 73, 21807, 76, 50139, 2629, 20568, 80, 1609, 5241, - 21206, 96518, 301, 36722, 2249, 74, 581, 75, 641, 1494, 31019, 6780, 967, 361, - 288, 77, 49755, 1631, 73, 11160, 20990, 876, 4511, 69, 675, 78, 352, 15809, - 363, 65, 9110, 20990, 2034, 82, 544, 28546, 939, 73, 37227, 266, 70, 3013, 7911, - 365, 14625, 65, 3841, 62559, 69, 2658, 76, 2302, 41922, 383, 347, 75, 3172, - 784, 634, 89, 26554, 74, 75406, 544, 71, 1146, 20926, 10784, 32589, 71, 894, - 64, 2319, 10784, 509, 15720, 327, 2701, 45015, 89, 344, 9810, 71, 344, 29700, - 2194, 5308, 303, 85, 23361, 402, 86, 939, 283, 6870, 2005, 73, 1919, 5308, 858, - 18854, 74, 11032, 911, 65, 80, 10784, 3576, 4223, 5289, 69, 2249, 37406, 44508, - 89, 2739, 80, 70, 80, 10462, 80, 23001, 31019, 80, 40429, 9092, 19072, 80, 56102, - 15444, 598, 30986, 85, 23866, 3933, 67, 1494, 86, 21325, 73, 2580, 18571, 675, - 19239, 876, 352, 24990, 87, 1336, 14029, 78, 762, 9258, 2319, 9081, 87, 24244, - 50536, 15720, 668, 85, 359, 86, 652, 70, 73, 70, 675, 355, 1725, 3696, 65941, - 295, 93797, 9081, 1273, 49891, 830, 581, 360, 302, 89, 14878, 87, 80, 73, 44067, - 86, 80, 5544, 49450, 7141, 65, 2465, 70, 344, 49463, 303, 10616, 3172, 906, - 74, 1658, 9832, 88564, 65, 80, 1216, 69, 89, 58153, 9832, 85, 4168, 32204, 2067, - 2465, 773, 73, 28774, 89, 5308, 18571, 49463, 300, 664, 14694, 3178, 71, 38844, - 80, 876, 13423, 65, 1146, 87, 34175, 327, 1394, 68916, 302, 74, 78498, 22016, - 450, 65, 2005, 7141, 80, 352, 31764, 73, 49865, 641, 16684, 17692, 2067, 9697, - 28679, 73, 85514, 80, 337, 1804, 939, 84, 80, 906, 15618, 69, 8671, 894, 385, - 89, 318, 13028, 18458, 70391, 89, 12328, 89, 5010, 49404, 285, 764, 32868, 3423, - 70, 5192, 73, 70, 80, 24244, 566, 3172, 346, 31764, 89, 1273, 75, 3427, 87, - 80, 38361, 1631, 4714, 78930, 21807, 24990, 40078, 86, 3906, 1310, 70, 406, - 80, 360, 1100, 87, 2032, 73, 49865, 668, 37406, 6358, 24244, 6634, 265, 1100, - 64, 16711, 822, 80, 52926, 8910, 3059, 1247, 4922, 87, 24244, 16400, 1729, 70, - 1320, 427, 85, 355, 22524, 42908, 1729, 8510, 80, 89, 26929, 1897, 5230, 363, - 80, 858, 89, 80, 64087, 637, 80, 48480, 69, 18577, 2303, 307, 818, 41129, 953, - 66, 2912, 2067, 73, 822, 8671, 1247, 22619, 1073, 383, 67665, 8212, 752, 10759, - 23866, 71, 1026, 89, 26929, 50139, 71, 16274, 8462, 82, 764, 391, 318, 74, 2465, - 9832, 3013, 713, 16400, 89, 1065, 86, 39911, 74, 773, 81, 2042, 77, 1029, 9701, - 22524, 80, 24672, 71, 22619, 76, 65653, 2034, 73, 581, 4748, 17008, 1320, 6634, - 1498, 85, 80, 73, 85, 402, 67800, 637, 77, 820, 302, 12082, 4657, 831, 437, - 74, 31881, 89, 11328, 9117, 80, 6358, 343, 363, 5964, 65, 546, 85, 32478, 1498, - 87, 84, 454, 295, 3933, 88, 762, 1394, 69, 677, 96518, 88, 25299, 1098, 764, - 3919, 447, 82649, 3423, 70, 566, 2249, 89, 302, 2201, 88, 983, 1498, 1320, 333, - 3368, 34175, 84, 392, 87, 71, 16400, 93000, 8186, 27752, 74, 2465, 2642, 7141, - 74, 11823, 11927, 80, 18499, 454, 85, 9907, 1662, 4171, 12273, 2706, 36325, - 89, 7387, 65, 4922, 20926, 89, 23576, 73, 27515, 80, 86611, 9991, 333, 343, - 2881, 20990, 3423, 540, 74, 796, 3013, 89, 85, 36068, 14485, 10056, 14878, 27515, - 2465, 1026, 89, 2332, 303, 76, 28927, 43210, 3306, 81, 1658, 3576, 327, 292, - 76627, 3415, 351, 75, 447, 89, 2302, 291, 75, 4086, 53289, 21703, 89, 392, 2042, - 677, 3013, 70, 73, 784, 89, 14878, 6358, 81, 17156, 78, 582, 24752, 9996, 68054, - 2312, 18571, 906, 830, 76, 344, 263, 87, 4680, 83, 12498, 65019, 4912, 65, 346, - 10644, 75, 9902, 45228, 564, 73, 13423, 6331, 39911, 24235, 774, 74, 6789, 85, - 1919, 441, 4748, 273, 28679, 25299, 41922, 1073, 68475, 18571, 3978, 89, 675, - 66, 1897, 361, 37406, 9810, 53835, 66467, 87, 74, 1729, 894, 61057, 564, 81, - 27515, 728, 86, 2562, 652, 73, 1336, 2739, 675, 71, 1897, 869, 677, 675, 86, - 41796, 73, 637, 80, 24752, 2319, 1498, 8671, 28996, 13671, 9110, 375, 450, 1347, - 69, 689, 72, 1100, 51318, 1609, 2042, 69, 303, 3933, 69, 1347, 8318, 86, 3647, - 74, 710, 85, 4680, 24012, 278, 89, 70, 788, 7911, 28679, 70226, 41796, 2174, - 57208, 11328, 292, 5308, 21888, 13536, 5308, 982, 65, 375, 820, 564, 32962, - 8998, 2438, 74, 15479, 51622, 8587, 283, 2303, 67, 2857, 347, 372, 11823, 65, - 303, 631, 77118, 92216, 3696, 65, 80, 2329, 4341, 74, 6200, 73, 70, 12591, 87, - 80, 39911, 9902, 1320, 7387, 838, 56871, 61318, 86, 34175, 12328, 46082, 73, - 87, 4341, 75406, 36825, 80, 16284, 12940, 13752, 70, 73, 88, 5544, 67, 75092, - 30683, 80, 566, 65, 675, 84, 70678, 375, 511, 70, 74, 50900, 2465, 88, 9081, - 70, 324, 80546, 7387, 24672, 7501, 87, 4511, 38977, 69, 73, 27278, 303, 2025, - 5979, 4317, 915, 14170, 80, 9978, 12825, 32204, 1310, 14878, 89, 13423, 11032, - 27515, 13536, 80, 7369, 86, 339, 14878, 89, 28531, 2303, 8587, 73, 85514, 501, - 80, 501, 427, 4777, 45228, 939, 85, 774, 87, 6789, 4867, 19456, 71, 6885, 455, - 75, 728, 65, 303, 675, 81, 3172, 72, 20629, 72, 587, 302, 86, 89, 3696, 86, - 8480, 49463, 869, 295, 73, 385, 80, 73, 1658, 13183, 87, 94908, 8480, 3601, - 1546, 99355, 66, 6194, 5192, 77, 376, 73, 88, 1729, 85, 329, 19285, 31268, 406, - 641, 1463, 76, 392, 27780, 10470, 347, 1029, 22524, 376, 69, 22016, 86, 784, - 288, 36851, 85407, 10056, 87, 6870, 9092, 292, 84, 1354, 70, 604, 723, 876, - 80, 51759, 1320, 4922, 2171, 66, 22119, 85590, 85, 365, 65, 12328, 69, 283, - 73, 86, 67800, 713, 309, 5308, 8892, 84, 554, 2329, 60933, 80, 74, 332, 86, - 5308, 2042, 83, 652, 39152, 275, 69, 8783, 73, 28774, 24672, 87, 3893, 370, - 79, 1662, 81, 24752, 3178, 20824, 71, 31019, 80, 78, 80, 21659, 1026, 301, 675, - 2701, 76, 8671, 51622, 4214, 8311, 87, 80, 295, 12825, 89, 303, 5964, 92512, - 784, 74, 99066, 31019, 97523, 454, 93000, 8671, 581, 50922, 80, 634, 77, 3893, - 18854, 19239, 18631, 75, 50139, 7488, 455, 41129, 7453, 80, 4171, 86, 16618, - 25105, 4341, 10776, 5683, 360, 9810, 89835, 1791, 31881, 70, 7050, 34106, 12825, - 17134, 983, 27515, 74, 34175, 8050, 7488, 10910, 84, 354, 299, 2332, 87, 18244, - 85, 441, 710, 13423, 2332, 70, 2032, 68, 2319, 73, 89, 764, 1604, 35555, 39152, - 40078, 8050, 73, 2234, 65, 575, 1800, 38361, 73, 10616, 14878, 49450, 3919, - 20369, 6375, 1725, 86, 8462, 325, 49755, 347, 83, 73, 87, 7513, 89, 830, 12328, - 71, 8890, 97523, 303, 1631, 83, 70391, 29684, 1031, 87, 752, 31881, 1320, 4239, - 1347, 784, 49450, 3576, 6591, 70494, 664, 2203, 2329, 86, 80, 36708, 80, 70981, - 85, 1764, 80, 7047, 796, 78, 1073, 263, 7501, 450, 375, 16820, 73, 1310, 25457, - 80, 7488, 65019, 1026, 355, 73, 14606, 89, 325, 295, 447, 73, 291, 69, 89, 36238, - 911, 66, 14092, 3013, 344, 77, 398, 4086, 88, 12412, 53835, 7387, 66, 1551, - 87, 73, 604, 73873, 1631, 1517, 318, 13009, 74, 376, 89, 8050, 664, 4193, 2000, - 87, 74, 4086, 454, 8890, 73, 89, 32547, 3919, 10333, 554, 63643, 89, 327, 80, - 784, 88, 3988, 13884, 664, 73, 88, 22119, 10196, 80, 8088, 41796, 343, 85, 28679, - 65, 8998, 11032, 1662, 361, 56029, 3368, 36851, 72245, 2034, 14878, 87, 2319, - 69, 73, 4942, 80, 70, 34097, 67, 406, 62497, 17156, 869, 1546, 7141, 10616, - 80, 1729, 87, 68156, 1662, 10630, 4922, 15930, 11160, 55109, 74, 25299, 73, - 59524, 579, 12825, 86, 822, 454, 77, 4171, 58305, 1517, 12498, 77584, 5192, - 31764, 3716, 675, 383, 21486, 291, 8998, 11823, 321, 19639, 8587, 309, 66565, - 3635, 3013, 89, 906, 3418, 7759, 18894, 89, 762, 275, 1658, 3933, 398, 22016, - 337, 747, 2249, 56029, 566, 94869, 2249, 4458, 670, 65, 16220, 89, 8050, 8587, - 85, 80, 301, 74, 511, 266, 79, 6194, 331, 87, 540, 6410, 1494, 1273, 4484, 4341, - 1073, 283, 11377, 84, 3935, 89470, 80, 70, 292, 76, 1105, 2642, 20824, 87, 32837, - 303, 12825, 4942, 406, 80, 74901, 44067, 89, 21206, 15618, 1065, 77, 2445, 2580, - 73384, 5010, 38181, 1065, 354, 77, 5972, 664, 82999, 689, 2302, 1910, 74, 1791, - 258, 1810, 71, 7006, 85, 953, 8587, 80, 501, 377, 77, 2739, 361, 25123, 54761, - 2005, 307, 96518, 22619, 1494, 76, 1146, 18442, 14878, 2201, 30148, 11949, 85, - 13092, 728, 1065, 30506, 29684, 14878, 13183, 14878, 65, 8088, 86, 19870, 86, - 544, 85, 11160, 1498, 69, 89, 5104, 71137, 28774, 331, 1031, 79, 91410, 80, - 29224, 49450, 93000, 5964, 1394, 8890, 84, 80, 42908, 10176, 953, 11251, 24672, - 87, 355, 55233, 25100, 74, 4511, 16400, 20211, 17137, 3306, 20990, 372, 13855, - 309, 89, 47689, 2701, 1910, 20127, 363, 80, 354, 637, 9117, 329, 50864, 427, - 80, 278, 89, 708, 343, 62369, 1302, 16400, 73, 20191, 3576, 16618, 70, 302, - 69, 392, 8480, 764, 65, 80, 321, 377, 675, 6489, 3059, 84, 80, 85514, 4223, - 69, 12328, 74, 6634, 6358, 17043, 1739, 89, 21807, 641, 67492, 1336, 49595, - 4341, 17008, 710, 9701, 87, 797, 92869, 5418, 2469, 60013, 377, 564, 28679, - 1897, 50139, 418, 87, 11253, 329, 78498, 265, 4239, 377, 2329, 20926, 49463, - 2580, 8212, 283, 3841, 46894, 762, 86, 7047, 462, 80, 47928, 80, 1331, 85, 451, - 20568, 80, 3172, 27093, 43210, 2445, 40078, 1026, 89, 80, 359, 75, 360, 7501, - 5469, 710, 6358, 677, 74, 5469, 80, 5192, 71, 14029, 94055, 325, 8890, 383, - 52333, 85, 2008, 74, 7488, 36415, 12328, 74, 713, 80, 2302, 41622, 11253, 80, - 784, 89, 501, 4937, 21206, 89, 3013, 74, 710, 86, 564, 1065, 81, 27455, 359, - 81, 708, 347, 70, 13183, 2554, 88472, 28679, 80, 1494, 82, 8480, 7439, 86, 652, - 34175, 74, 13423, 39911, 455, 21807, 953, 66, 4223, 14460, 81, 38359, 93000, - 14736, 66, 7759, 68, 3524, 336, 71, 61952, 329, 7369, 28927, 581, 77, 303, 42818, - 331, 14606, 76, 3172, 1026, 11089, 52971, 80, 20824, 73, 16276, 6194, 89, 18577, - 677, 70, 331, 1551, 87, 86, 7387, 773, 37406, 2411, 355, 355, 4912, 85, 80, - 1273, 39911, 31721, 9907, 376, 20191, 406, 2249, 869, 14170, 1336, 2438, 1551, - 1347, 8088, 86626, 80, 2303, 80, 10616, 10776, 65019, 21659, 41196, 333, 989, - 8050, 10011, 581, 509, 67, 3714, 1026, 80, 69, 1804, 75, 13565, 31881, 89, 352, - 87, 68054, 363, 84, 3178, 2727, 710, 42848, 77827, 2303, 72, 332, 784, 273, - 45015, 5230, 3601, 292, 454, 36722, 566, 343, 318, 1864, 2042, 2554, 333, 44508, - 87, 85, 48029, 20127, 3172, 953, 71, 29684, 1310, 69, 657, 12825, 34175, 329, - 3178, 66, 2465, 80, 34175, 73, 360, 283, 73, 20211, 830, 8088, 85, 80, 17851, - 73, 11377, 1030, 69, 1498, 85, 4086, 8050, 67, 10616, 45283, 86, 5481, 80, 38359, - 22580, 84, 7453, 581, 830, 70, 4168, 675, 89, 70, 1919, 75, 604, 74, 664, 12591, - 41625, 31603, 675, 52926, 35401, 17008, 39152, 581, 30407, 9802, 89, 38977, - 6151, 86, 39749, 52767, 24672, 89, 12082, 73, 88, 4341, 73, 1026, 16400, 12825, - 16373, 564, 4657, 80, 354, 8462, 14029, 2003, 53060, 80, 17708, 1609, 87, 959, - 69, 754, 89, 2957, 544, 19456, 57208, 20211, 9991, 71, 18244, 74, 4355, 33863, - 16400, 81, 10784, 69, 575, 7783, 1804, 89, 4010, 798, 5544, 1273, 69, 19456, - 89, 7047, 4835, 65, 80, 19747, 455, 6194, 1336, 76, 75406, 3055, 587, 70, 80, - 4086, 10776, 85, 11828, 73, 451, 42908, 2249, 73, 50139, 1336, 79, 5735, 566, - 3906, 73, 614, 87, 86, 1302, 352, 70, 80, 302, 83, 14912, 80, 70, 20926, 23866, - 2562, 83, 16468, 277, 10002, 2562, 15930, 73, 6780, 648, 4458, 70678, 22619, - 76, 579, 74, 19072, 84, 566, 89, 784, 12591, 363, 47689, 383, 1263, 86, 58305, - 371, 76, 2200, 2203, 5010, 3919, 67, 13028, 346, 582, 5241, 71, 2042, 4239, - 73, 7783, 1729, 70391, 2249, 15930, 2727, 2005, 4912, 46341, 1216, 75406, 14736, - 69, 332, 18596, 347, 75, 3933, 3055, 27960, 86, 89, 265, 1100, 9810, 1100, 869, - 36238, 1804, 85, 12328, 12825, 80, 32962, 39911, 8385, 80, 93797, 14029, 77827, - 418, 2303, 361, 65019, 954, 86746, 953, 52971, 540, 3716, 363, 89, 4680, 80, - 8385, 318, 544, 5683, 1791, 80, 1498, 79, 316, 10196, 80, 14088, 347, 3696, - 80, 4991, 83, 2174, 50226, 65, 89044, 17692, 7911, 80, 5104, 4381, 752, 32204, - 1331, 66, 3306, 21486, 73, 88, 1320, 75, 20824, 87, 11823, 88, 2701, 5010, 87, - 86, 5192, 32962, 784, 3423, 4055, 1498, 3178, 301, 80, 3716, 1216, 818, 48380, - 8035, 285, 588, 65, 540, 15770, 83, 7387, 785, 86, 3576, 2302, 52097, 7910, - 88, 38359, 45015, 13536, 3059, 66443, 10462, 80, 1498, 21325, 73, 1729, 4777, - 22619, 73, 28990, 89, 29700, 3427, 728, 344, 11805, 267, 86656, 392, 7513, 831, - 7910, 391, 33539, 9117, 300, 4341, 8783, 869, 2203, 2249, 85, 2042, 1631, 37406, - 2329, 70, 80, 3447, 1662, 13223, 57208, 11089, 65019, 73, 10776, 81, 302, 4168, - 1411, 450, 49712, 80, 8050, 3251, 3423, 53016, 70, 447, 86, 2117, 352, 48045, - 17063, 86611, 1310, 89, 587, 652, 32962, 60013, 3933, 14170, 87, 1031, 97523, - 675, 44067, 5104, 77, 45015, 333, 8050, 70, 80, 525, 404, 87, 392, 41796, 69, - 24752, 3696, 441, 30986, 49463, 21436, 67, 7387, 44508, 87, 3055, 675, 14606, - 69, 894, 2715, 84, 83438, 73, 5673, 6358, 354, 2445, 34854, 32547, 73, 23361, - 5308, 4086, 1631, 1551, 68467, 77, 45015, 73, 89, 70, 6733, 447, 333, 3647, - 66, 22119, 535, 73, 86, 1498, 86, 4080, 88, 73822, 365, 41982, 454, 20127, 80, - 1336, 392, 830, 75, 10776, 6723, 80, 74, 2580, 51924, 40261, 2042, 19275, 983, - 86, 869, 82, 62497, 86611, 822, 64, 5171, 73, 6292, 19571, 1302, 27093, 370, - 79, 14773, 447, 61057, 89, 80, 70, 83256, 80, 28546, 89, 80, 85369, 28679, 74, - 3418, 283, 74, 89, 3368, 85, 953, 87, 352, 15618, 23265, 3576, 625, 784, 65, - 318, 1197, 359, 88, 4171, 44567, 71, 46341, 2032, 16373, 354, 88, 78498, 10910, - 3906, 85, 354, 64087, 2445, 85, 17134, 6511, 6375, 89, 19747, 65, 80, 581, 87, - 1289, 31721, 8934, 752, 12591, 11949, 80, 1634, 12082, 333, 89, 33863, 24990, - 5308, 67, 3841, 12328, 44970, 73, 25457, 85, 764, 8671, 35401, 2067, 73, 42848, - 454, 80, 89, 1347, 4835, 89, 19239, 80, 31695, 511, 8480, 309, 5308, 77, 2329, - 22119, 73, 8890, 1411, 1273, 69, 2302, 61828, 75, 13856, 5230, 33721, 1030, - 327, 20191, 16276, 52926, 24244, 71, 876, 76, 1658, 52971, 74, 402, 69, 418, - 42848, 73, 6358, 38828, 28774, 302, 79566, 49463, 79, 1791, 85, 8998, 52097, - 80, 30506, 564, 89, 641, 375, 84, 2580, 41221, 4991, 36851, 8050, 796, 2332, - 87, 74, 18571, 906, 288, 360, 6634, 85, 80, 73, 9112, 1910, 74, 10056, 86, 85, - 12940, 51622, 1130, 86, 16618, 344, 73, 11823, 351, 3315, 2319, 22580, 37762, - 80, 7521, 81, 376, 79, 24286, 337, 71, 9907, 8480, 94055, 3906, 1395, 80, 69, - 9117, 85, 41796, 18442, 71, 44508, 339, 38359, 33367, 8587, 77, 7501, 5298, - 5241, 5701, 86, 14668, 5455, 45015, 37975, 71, 632, 8890, 27515, 28679, 2580, - 50536, 1347, 6200, 26397, 376, 8462, 73, 998, 295, 346, 88, 20990, 18442, 87, - 1336, 74, 17134, 87, 73, 70, 80, 14170, 87624, 85, 3696, 69, 4239, 86, 85, 40924, - 74, 818, 69, 75406, 24244, 566, 32962, 80, 675, 73, 88, 68054, 2249, 65, 344, - 2465, 652, 3306, 82999, 78, 7453, 363, 27278, 41287, 427, 89, 324, 1331, 484, - 69, 2034, 3418, 652, 32962, 70, 10470, 71, 3906, 28679, 45062, 2465, 20926, - 17008, 876, 1631, 544, 87, 14912, 27093, 18287, 85, 32204, 35734, 69, 1031, - 73, 566, 80, 2676, 72, 5308, 42528, 17008, 3906, 60013, 33367, 28774, 85, 3315, - 64, 316, 89835, 89, 4171, 76, 1551, 20990, 89, 316, 713, 80, 1100, 20824, 19456, - 80, 70, 21620, 77, 8892, 12407, 455, 86, 93000, 34152, 275, 73, 10036, 9490, - 352, 83, 6632, 278, 377, 65, 2554, 337, 309, 3919, 74901, 18442, 22506, 2580, - 7501, 74, 80, 40229, 12825, 86, 5972, 85, 8212, 336, 3576, 6151, 80, 4942, 74, - 87, 80, 25337, 71, 2034, 80, 3933, 5972, 13536, 11285, 38361, 89, 80, 38844, - 89, 2562, 89, 89687, 1551, 14694, 14606, 59524, 1662, 81, 764, 278, 59524, 652, - 3013, 747, 454, 25299, 87, 1551, 2465, 9081, 67800, 73873, 450, 339, 76627, - 53450, 89, 65116, 511, 747, 360, 89, 677, 86, 49568, 6511, 8587, 8587, 5781, - 9081, 89, 4168, 83, 80, 23001, 55282, 831, 10616, 406, 3633, 2249, 18854, 830, - 80, 74, 501, 363, 3696, 1791, 85, 28927, 17207, 73, 16820, 80, 28927, 441, 89, - 15479, 86, 327, 76, 1897, 575, 69243, 4991, 657, 70, 32589, 83079, 36463, 89, - 2249, 677, 86, 1919, 20510, 85, 383, 20103, 352, 73, 85, 8783, 78, 80, 46341, - 6358, 764, 78, 28679, 85, 89, 28774, 69, 33863, 20211, 93141, 2201, 71, 869, - 76, 447, 8311, 1897, 85, 89, 80, 23361, 72801, 4748, 11949, 544, 637, 86746, - 1910, 20211, 6200, 86, 437, 52552, 66, 60933, 1872, 14088, 501, 59524, 80, 70, - 10056, 582, 14170, 69, 20926, 752, 1411, 91943, 14170, 89, 3172, 13423, 59524, - 564, 343, 3172, 67702, 25299, 2034, 73, 1100, 80546, 1658, 265, 773, 65, 16400, - 86, 830, 87, 20926, 509, 44183, 73, 299, 71, 78512, 9112, 1804, 80546, 19747, - 80, 634, 80, 1082, 85, 5972, 13423, 266, 15618, 86, 16400, 64087, 321, 1551, - 277, 80, 3893, 68054, 708, 68, 354, 23361, 65, 18577, 79, 2303, 73, 57208, 1910, - 89, 17043, 1910, 302, 17063, 73, 377, 12407, 84, 7488, 55233, 50798, 398, 73, - 10776, 49595, 80, 3632, 5308, 16276, 50676, 454, 44970, 2329, 22119, 72801, - 2319, 70, 785, 71, 18244, 74, 28679, 87, 1072, 383, 89, 15720, 85, 1286, 8587, - 57208, 27278, 668, 20720, 546, 3647, 73, 361, 9490, 1919, 95328, 85, 10084, - 67, 1026, 20824, 25457, 17008, 85, 5683, 347, 343, 784, 544, 998, 2303, 25453, - 81, 2171, 86, 441, 85, 89, 8910, 30407, 73, 3251, 70, 5469, 73, 11377, 355, - 392, 83, 73, 6194, 87, 80, 604, 983, 3178, 87, 587, 86, 664, 47689, 269, 75, - 80, 13637, 283, 73, 9701, 73, 9902, 4835, 41796, 4171, 74, 16400, 79939, 45015, - 43505, 80, 17063, 85, 9112, 88, 39911, 5721, 89833, 73, 4748, 85, 5298, 14029, - 376, 13694, 65, 4341, 2067, 76423, 89, 3251, 85407, 418, 9701, 300, 13009, 85, - 40185, 754, 1169, 61057, 9832, 77, 1215, 87, 18571, 89, 22580, 42583, 2329, - 85, 6331, 67, 4223, 69013, 376, 8480, 86, 1331, 56201, 5104, 983, 77, 1517, - 65116, 45228, 983, 77, 337, 80, 81606, 65, 336, 83, 1336, 77, 564, 21068, 80, - 9810, 85, 1336, 2562, 346, 1463, 85, 30407, 1216, 28927, 266, 58153, 7501, 869, - 87, 44508, 94869, 302, 77, 936, 26738, 20103, 50798, 9112, 71, 1725, 4575, 33963, - 2562, 343, 67, 3576, 17692, 76, 16400, 2465, 9907, 283, 27093, 74, 939, 339, - 73, 89, 1725, 31881, 74, 1800, 87, 2203, 70, 3306, 785, 74, 89, 42908, 11032, - 2857, 69, 406, 65019, 73, 613, 427, 62497, 70, 7501, 67, 4010, 89, 8998, 75, - 2857, 84, 1509, 36825, 1631, 88, 85, 14029, 23001, 7737, 80, 5010, 41796, 10176, - 20127, 19239, 74, 2303, 4341, 11823, 329, 77, 1031, 80, 4777, 406, 1677, 87, - 1065, 69, 73, 283, 9907, 89, 21206, 88, 73, 22119, 23866, 80, 3251, 73, 49865, - 652, 728, 55442, 392, 86746, 7737, 85, 49755, 351, 14172, 83470, 3423, 74, 3919, - 23048, 1889, 80, 70, 20553, 89, 3601, 307, 49463, 2067, 509, 53060, 773, 10002, - 86, 32589, 544, 75, 59524, 11823, 486, 88, 73, 1662, 301, 7387, 344, 360, 86, - 24468, 677, 42528, 360, 85, 1310, 70, 74, 2438, 1897, 89, 278, 41796, 3696, - 86746, 22619, 85, 2067, 69, 73, 88, 23361, 84, 8587, 983, 2332, 80, 450, 27093, - 88823, 8783, 73, 47689, 540, 14460, 73, 511, 90906, 69, 1026, 331, 28927, 11949, - 30797, 1791, 76, 28927, 5298, 4777, 258, 76, 4168, 70, 540, 11032, 344, 87, - 80, 301, 1662, 49595, 17134, 87, 80, 11160, 398, 80, 89, 6331, 77, 43686, 51622, - 831, 1247, 88, 8892, 19639, 42426, 87, 6870, 427, 329, 3919, 65, 4080, 24752, - 69, 1804, 3601, 3906, 1216, 23001, 7787, 36851, 20127, 1098, 316, 3433, 51622, - 2445, 70, 5308, 7521, 85, 1029, 11927, 1091, 86, 85, 21659, 11823, 2438, 86, - 561, 80, 10333, 7369, 331, 16276, 45228, 34175, 604, 6358, 17134, 75, 1273, - 85, 5308, 71, 4168, 689, 21206, 2332, 19747, 20127, 10056, 1146, 2933, 49865, - 86, 1029, 12940, 708, 5104, 73, 911, 418, 69, 2411, 88, 5308, 21888, 3906, 70391, - 668, 46790, 80, 581, 18854, 93366, 8050, 544, 25457, 18571, 39152, 86, 1791, - 710, 15444, 80, 4086, 13183, 329, 1631, 80, 22016, 1100, 1302, 9092, 1100, 11823, - 689, 2580, 370, 501, 28927, 10910, 1631, 69, 5308, 69, 575, 7501, 39911, 88, - 376, 2302, 3205, 40617, 450, 67, 33863, 511, 16820, 365, 295, 269, 677, 2329, - 67039, 73, 7141, 4777, 7907, 3178, 58345, 2329, 56871, 273, 73, 20854, 9701, - 48380, 86, 876, 8890, 1551, 89, 325, 23361, 49568, 86, 80, 3172, 1631, 89, 70, - 73, 86, 8480, 89, 5192, 44508, 2392, 11823, 454, 87, 307, 2303, 75, 24990, 1551, - 27455, 7047, 5981, 80, 1100, 869, 71, 67139, 13044, 45015, 3906, 70, 73, 9117, - 88, 8462, 32868, 31695, 86, 80, 24244, 74, 89, 17319, 377, 69, 4511, 89, 5701, - 48380, 876, 92562, 7387, 318, 1494, 87, 17008, 641, 7488, 71, 42510, 4922, 75, - 49537, 8783, 42441, 24672, 66, 375, 79, 302, 42792, 6331, 80, 2302, 86, 637, - 29238, 76736, 541, 1336, 12255, 581, 87, 427, 78498, 53904, 3919, 1347, 7387, - 23361, 8998, 71, 43505, 80, 33495, 2302, 84, 12328, 346, 652, 89, 80, 74, 33863, - 31881, 9117, 773, 13536, 80, 4680, 68, 295, 1725, 648, 71, 57647, 85407, 1609, - 67, 34175, 85, 40924, 8998, 867, 5418, 710, 634, 48372, 1662, 38181, 3013, 17063, - 19239, 73, 4239, 80, 18577, 81, 7488, 80, 1247, 70, 45015, 269, 86, 11823, 26397, - 89, 7783, 70, 52097, 73, 876, 28990, 89, 329, 77, 80, 376, 74, 5308, 7907, 337, - 2580, 19072, 728, 5972, 71, 402, 28679, 87, 540, 3576, 85514, 13423, 74, 2641, - 3251, 65, 391, 32868, 89, 80, 8998, 23361, 263, 87, 7513, 87, 9092, 4010, 65, - 5192, 266, 67175, 300, 2933, 455, 22580, 38359, 13545, 42908, 80, 85514, 6200, - 773, 1718, 77, 2329, 7521, 3601, 17319, 73, 53289, 491, 55911, 402, 283, 89, - 3933, 8212, 76, 675, 86, 89, 12591, 337, 4458, 347, 76, 23361, 3141, 86, 93471, - 44183, 8587, 77, 36068, 511, 20824, 2192, 38181, 70, 14088, 81, 7501, 5485, - 4922, 73, 70, 26397, 1072, 80, 1662, 708, 2580, 32547, 12183, 80, 20191, 89, - 9117, 2026, 76, 2303, 86, 85, 89, 587, 73, 88, 752, 74, 1739, 318, 87, 25105, - 9786, 89835, 1216, 1729, 87, 307, 28679, 324, 764, 89, 12407, 324, 21659, 67039, - 23866, 73, 418, 336, 53289, 6009, 67, 3423, 4239, 564, 4763, 2689, 28844, 11949, - 4341, 10616, 77, 23866, 1791, 65, 1662, 3628, 278, 89835, 377, 70391, 89, 14244, - 1072, 85, 5010, 303, 1804, 6723, 80, 88, 73, 85, 604, 24752, 46224, 418, 3601, - 771, 10616, 983, 1394, 1631, 83, 302, 38977, 74, 11328, 75, 1498, 89, 24705, - 24244, 2067, 89, 455, 31721, 65, 7910, 86, 316, 86, 80, 17063, 5683, 1031, 27515, - 71, 9117, 77, 1725, 2067, 32837, 2329, 85, 2438, 23001, 1136, 75611, 728, 10647, - 79, 713, 74, 84995, 365, 361, 74452, 65019, 89, 12825, 4168, 74, 32204, 73, - 8311, 1551, 1551, 44970, 1517, 1551, 62369, 89, 28679, 4942, 24823, 78604, 3172, - 8783, 14029, 67, 417, 2067, 80, 73, 13536, 71, 27782, 2808, 38359, 74, 664, - 73, 332, 764, 78604, 2312, 31268, 2739, 85, 360, 2026, 4086, 46640, 28073, 544, - 14878, 14878, 73, 86, 70494, 27455, 8212, 19072, 73, 87, 71, 2249, 69, 4168, - 61057, 277, 4223, 11805, 79, 39911, 3919, 83, 39911, 4341, 29700, 1729, 339, - 86, 876, 44606, 299, 64, 3141, 83, 4942, 10776, 81, 24244, 18442, 9832, 9490, - 80, 22016, 10616, 3315, 316, 8671, 67, 2580, 417, 31881, 15618, 278, 8088, 4168, - 4171, 500, 89, 85, 1026, 14088, 71, 10616, 21807, 10784, 81, 2727, 14878, 52253, - 10616, 87, 13855, 1336, 822, 336, 1247, 58305, 8318, 359, 299, 73, 87, 876, - 38828, 1072, 84159, 10784, 96304, 455, 3906, 80, 876, 76, 8587, 31721, 5701, - 73, 25734, 89, 752, 64, 458, 9907, 48380, 346, 45102, 12591, 62155, 20926, 93797, - 69, 1072, 351, 87, 7141, 288, 73, 8050, 78, 831, 288, 11823, 73, 22580, 3696, - 764, 10470, 86, 21807, 451, 5979, 324, 74, 11377, 86, 7821, 318, 299, 73, 501, - 668, 36851, 351, 89, 80, 1804, 14606, 73, 7387, 89, 80, 21206, 17008, 89687, - 70, 20824, 89835, 71, 1146, 2319, 1725, 22016, 21659, 80, 89, 3368, 316, 347, - 501, 7783, 85, 70678, 894, 32868, 1498, 86, 2249, 8910, 31881, 85, 9813, 375, - 24012, 80, 265, 1026, 21620, 303, 8207, 2641, 1029, 70, 4010, 664, 6194, 365, - 39911, 318, 713, 89, 39911, 3933, 84, 4317, 80, 5010, 31172, 80, 24672, 68, - 4341, 339, 69, 2857, 67, 2453, 24244, 587, 80, 38977, 53835, 31695, 351, 89, - 455, 44067, 86, 5683, 69, 14029, 327, 2868, 69, 1065, 64, 309, 80546, 1791, - 7141, 66, 1631, 21796, 86, 63958, 3172, 2249, 8587, 44183, 1264, 80, 17043, - 50798, 784, 87, 22119, 39911, 10462, 80, 677, 5469, 80, 797, 2739, 7387, 80, - 29684, 71, 2329, 31695, 789, 87, 3447, 87, 1215, 73, 1065, 19555, 89835, 32478, - 86, 80, 3524, 822, 8311, 11823, 1029, 30243, 78498, 1662, 540, 19456, 20553, - 2026, 80, 2438, 83079, 12498, 3696, 10188, 258, 5104, 846, 303, 70, 1919, 21807, - 19639, 35531, 418, 21206, 3055, 4223, 351, 4010, 73, 301, 81, 73, 1517, 911, - 36851, 337, 89, 80, 36238, 285, 46640, 20824, 1658, 21796, 42050, 2067, 263, - 1658, 261, 641, 34175, 2580, 566, 65116, 27278, 34664, 73, 61057, 80, 9112, - 325, 73, 5861, 2249, 7047, 48480, 10470, 2701, 79, 7513, 87, 398, 71, 2329, - 7521, 29224, 80, 31721, 60933, 80, 581, 1631, 18894, 6375, 89, 85, 564, 86, - 641, 89, 32547, 295, 14736, 8318, 90752, 18244, 87, 71137, 83079, 5298, 641, - 8536, 89, 7501, 2249, 39911, 18894, 36996, 12591, 3172, 69, 488, 1347, 3368, - 12082, 70, 80, 25457, 69, 1551, 544, 56029, 1919, 78, 80, 383, 23913, 402, 299, - 797, 8212, 85, 1157, 7453, 73, 95945, 22473, 85, 8480, 6194, 76, 575, 365, 773, - 91410, 32589, 89, 70, 73, 283, 71830, 20218, 9700, 1725, 344, 89, 2034, 7783, - 2302, 74, 2642, 89, 4657, 773, 8998, 65, 7737, 269, 4575, 75593, 74, 728, 4942, - 1347, 75, 3841, 581, 13536, 60013, 509, 46790, 80, 1073, 79, 60933, 73, 17007, - 372, 89, 1517, 89, 383, 40952, 1002, 316, 87, 32962, 74, 392, 46341, 10616, - 69, 3919, 31764, 4317, 773, 69, 12825, 3576, 2249, 339, 20926, 894, 12183, 89, - 73, 15618, 8207, 76, 588, 7387, 86, 7141, 79, 11089, 8998, 84, 352, 16618, 56871, - 89, 29443, 31764, 906, 73, 70, 44490, 450, 77, 1729, 19260, 675, 39911, 1919, - 7513, 69, 70494, 392, 10616, 32868, 2067, 17553, 61057, 418, 5418, 80, 2784, - 8318, 511, 77, 51622, 87, 14878, 76, 89, 2880, 64087, 9902, 1230, 80, 3576, - 454, 2303, 41129, 3524, 89, 13752, 441, 6358, 73, 10056, 12498, 3251, 32868, - 14736, 566, 70, 80, 4458, 752, 677, 343, 67, 376, 664, 2880, 4777, 85, 10470, - 86, 1100, 89, 9258, 288, 48380, 16400, 668, 8512, 634, 83, 8186, 5682, 43505, - 664, 12082, 540, 85, 26738, 80, 1725, 6009, 3141, 796, 7521, 42930, 47689, 537, - 1302, 12329, 79, 8910, 5010, 27515, 346, 80, 89, 39911, 74, 80, 336, 7910, 80, - 723, 462, 11160, 3919, 1073, 87, 73, 347, 637, 88, 1498, 70, 21486, 1031, 15444, - 73, 21796, 60013, 11949, 89, 3368, 88, 69, 2329, 1551, 349, 18442, 901, 85, - 336, 3251, 582, 2438, 48872, 450, 9081, 303, 1065, 76, 6200, 66, 1273, 581, - 85, 22532, 1347, 76, 55506, 44970, 73, 87, 8050, 52253, 28990, 86, 6358, 48872, - 87, 1739, 74, 89, 80, 44970, 80, 2042, 7501, 72801, 67455, 427, 16017, 85, 324, - 31764, 1729, 78, 380, 8671, 57367, 2319, 82, 1336, 89, 15444, 73, 8376, 2315, - 64, 454, 46640, 69057, 383, 73, 361, 80, 3059, 85, 316, 587, 86, 587, 637, 5308, - 5298, 70, 1394, 6733, 80, 11032, 80, 8998, 8212, 73, 87, 462, 71, 45015, 86, - 89, 8998, 34175, 69, 89, 6200, 14606, 85, 2332, 79, 876, 894, 68566, 8783, 86, - 11345, 65, 1631, 1302, 89, 9081, 8480, 73, 5972, 8587, 80, 2445, 2026, 1017, - 377, 88, 451, 277, 18244, 581, 336, 604, 8311, 85, 7737, 86, 89, 1031, 79, 3415, - 73, 1609, 79, 45015, 17319, 87, 86, 13536, 939, 89, 14088, 77, 1100, 21068, - 85, 89, 93366, 86, 4168, 2933, 73, 21206, 509, 28774, 71, 11949, 566, 6200, - 22619, 38041, 28204, 10647, 96518, 22619, 3326, 67919, 23361, 52971, 292, 65, - 713, 5308, 295, 76, 4867, 1568, 1729, 89, 10188, 88, 936, 300, 336, 3306, 3368, - 1065, 9326, 65, 7387, 2465, 869, 66, 9555, 83079, 1494, 87, 3423, 652, 11805, - 3906, 73, 70, 1910, 87, 10097, 72, 4171, 86, 8892, 24409, 80, 5230, 2554, 73, - 52097, 80, 2026, 38977, 365, 4080, 89, 32868, 16711, 80, 352, 84, 80, 23361, - 74, 80, 89, 66777, 773, 87, 21620, 1551, 34856, 462, 402, 27455, 8480, 55568, - 1919, 67, 39911, 87, 3178, 67665, 80, 3601, 4080, 89, 764, 17704, 80, 324, 74, - 9996, 80, 333, 87, 1919, 8385, 1739, 302, 4922, 14406, 830, 76, 96416, 89, 1910, - 89, 85, 5010, 67800, 45015, 77, 16373, 89, 1804, 76, 14029, 376, 77, 23577, - 4970, 73873, 11823, 1983, 74, 80, 3601, 67, 9092, 385, 22575, 672, 69057, 13045, - 354, 38361, 8212, 86, 89, 4991, 8088, 71, 7197, 19239, 38041, 64087, 875, 657, - 66, 773, 24244, 74, 4680, 9832, 74, 4890, 85, 332, 19555, 86, 2106, 77, 6151, - 1065, 346, 5308, 969, 5104, 28679, 74, 13536, 85, 1031, 509, 75, 3172, 15802, - 80, 5010, 75, 49450, 3933, 87, 1658, 87, 327, 47171, 21543, 34175, 87, 49358, - 398, 31764, 55233, 392, 44508, 73, 302, 73, 36722, 12940, 71, 73, 7488, 12825, - 89189, 37406, 52971, 3427, 4341, 3141, 876, 70, 5010, 324, 7047, 73, 2438, 3368, - 46224, 762, 385, 73, 11949, 2203, 31764, 66, 46640, 86, 5010, 65, 2580, 89, - 3153, 4664, 78930, 88, 1546, 398, 2034, 86, 5237, 44490, 784, 84, 263, 391, - 2580, 85, 346, 14468, 79, 2067, 85, 42818, 18442, 8385, 677, 1662, 2067, 86, - 383, 6723, 1073, 64145, 1026, 587, 2629, 383, 80, 8671, 40078, 953, 24990, 2026, - 66867, 1568, 66, 1551, 8088, 38041, 74, 764, 70, 32478, 49450, 32204, 15555, - 31146, 15809, 546, 15618, 689, 78498, 5308, 361, 73, 8462, 24738, 266, 26039, - 71, 7910, 80, 875, 53835, 88, 28679, 73640, 17008, 70, 5308, 34146, 71, 710, - 85, 8910, 8311, 2562, 42818, 6511, 796, 22119, 74, 87, 1394, 6200, 70, 46640, - 47154, 89, 6151, 581, 3906, 1273, 10470, 25299, 80, 30407, 299, 6292, 266, 73, - 63885, 1336, 20553, 1631, 86, 372, 752, 41796, 85, 336, 74, 1065, 66, 16499, - 69, 6358, 38385, 10776, 71, 23913, 276, 80, 73, 13855, 77, 764, 68054, 23866, - 796, 80, 1725, 4239, 71, 544, 2480, 89, 657, 86, 80, 78, 343, 73, 2603, 42511, - 69, 69057, 5964, 7369, 8462, 14029, 261, 12989, 11949, 49463, 73, 87, 4010, - 90231, 365, 450, 79, 29238, 85, 427, 82, 65167, 41129, 31019, 68411, 1347, 47689, - 70678, 1551, 87, 22119, 3418, 728, 65, 80, 657, 80, 73, 10820, 1029, 80, 30506, - 42908, 54899, 677, 451, 80, 20990, 85, 10036, 71, 2445, 20962, 708, 69, 764, - 652, 796, 7501, 80, 1498, 78930, 5010, 10196, 80, 1072, 295, 87, 23361, 70, - 45015, 70, 351, 67800, 86626, 66, 634, 1631, 9092, 73, 797, 87, 19866, 12498, - 74, 3172, 70, 2303, 74, 12498, 7737, 65, 3601, 2727, 80, 360, 2034, 32204, 2727, - 65, 1609, 5972, 89, 4680, 5981, 42818, 7501, 1302, 38977, 65019, 88, 797, 80574, - 300, 1658, 73, 4657, 309, 97715, 5192, 6009, 24027, 10333, 84, 80, 14029, 40924, - 2111, 67, 728, 372, 85, 365, 18854, 86, 5289, 276, 9902, 80, 359, 20553, 1804, - 339, 8311, 1065, 370, 869, 73, 10776, 77, 80, 1764, 10333, 76, 1910, 8311, 437, - 80, 4777, 77, 657, 74, 93000, 447, 85514, 6375, 4912, 36851, 42908, 7047, 25299, - 74, 1273, 21436, 76731, 1658, 85, 953, 88, 9700, 5104, 36825, 544, 7513, 73, - 438, 89, 11253, 10784, 73, 2026, 70, 74, 8207, 309, 25772, 4239, 38181, 3251, - 65, 831, 377, 8480, 87, 22873, 83, 73, 94817, 637, 5746, 3423, 953, 65, 427, - 41129, 89, 46224, 73, 1247, 370, 87, 300, 8248, 86, 2249, 8910, 85, 2221, 710, - 303, 1247, 87, 86, 1331, 87, 18577, 85, 26397, 16276, 3458, 80, 2857, 377, 11251, - 89, 7387, 42908, 302, 39911, 77, 385, 39911, 42050, 710, 89, 40078, 89835, 70, - 5289, 344, 11328, 80, 1339, 355, 31721, 41523, 344, 2438, 73, 7501, 333, 2203, - 540, 375, 79, 521, 5981, 588, 80, 89, 85, 10796, 87479, 8050, 73, 4239, 9988, - 76, 1631, 81, 8088, 79, 1394, 82, 2912, 70, 73, 52513, 822, 511, 9188, 450, - 10176, 46640, 87, 86, 398, 333, 86, 8385, 80, 300, 1897, 55773, 303, 1072, 2319, - 89, 9996, 664, 31268, 13855, 939, 69, 27457, 39911, 911, 55748, 347, 83, 73, - 86, 581, 6331, 370, 70, 73, 9907, 3105, 752, 78, 70391, 5298, 74, 28679, 65, - 22524, 74, 64087, 80, 78, 3251, 28400, 1116, 80, 74, 796, 24459, 723, 85, 89, - 3418, 344, 27515, 40078, 93797, 85, 1658, 6194, 73, 501, 2933, 71, 95143, 11206, - 71, 73, 5079, 1073, 74, 3178, 5683, 3431, 81, 40078, 89, 1354, 73, 86, 3013, - 303, 89, 454, 70, 80, 784, 80, 42818, 3368, 71, 7501, 67800, 85, 73445, 73976, - 86, 5650, 6194, 79, 318, 66, 318, 12328, 65, 2200, 13536, 31019, 3059, 689, - 3251, 6511, 80546, 564, 77, 1517, 28774, 4080, 41129, 292, 81, 783, 65, 70678, - 24752, 73, 89, 894, 939, 39152, 566, 85, 77827, 80, 4511, 72, 1130, 5964, 20811, - 263, 74, 339, 8910, 71, 8566, 604, 332, 1320, 16400, 307, 4763, 67665, 69, 73, - 12591, 42050, 19072, 80, 3906, 89, 392, 73, 7488, 89, 1122, 418, 20103, 80, - 56871, 4880, 65, 80, 74, 427, 566, 796, 77, 5701, 80, 74, 27455, 25817, 1551, - 309, 540, 354, 94908, 8998, 4223, 14878, 8050, 23001, 87, 1065, 65, 9907, 1494, - 1910, 581, 85514, 365, 88, 21888, 85, 5298, 998, 402, 9991, 85, 303, 299, 2496, - 45015, 3427, 352, 74, 80, 797, 23707, 87, 13441, 365, 49891, 66, 450, 343, 26397, - 1273, 455, 318, 267, 80, 7047, 1590, 318, 71, 20127, 564, 75, 303, 710, 5469, - 3251, 8207, 318, 75, 10784, 2438, 79, 87348, 4168, 74, 34870, 302, 80, 3458, - 80, 88, 50153, 1233, 86, 344, 23048, 370, 7521, 10002, 1100, 9700, 337, 20553, - 87, 363, 9451, 6194, 73, 63643, 93000, 6511, 9110, 73, 2649, 80, 89, 80, 70, - 9490, 86804, 87, 18577, 74, 3415, 7910, 6388, 1498, 27457, 1073, 70, 80, 69, - 18442, 359, 58153, 73, 9907, 540, 89, 3251, 18458, 365, 5192, 74, 412, 327, - 509, 78, 343, 73, 20127, 18442, 85, 19072, 10616, 391, 85, 80, 11160, 10056, - 911, 24752, 4922, 86, 85, 42908, 1631, 343, 318, 89, 641, 2784, 1729, 1030, - 5972, 15479, 1900, 2933, 43505, 2439, 9509, 728, 3978, 13536, 89, 32868, 6455, - 2249, 8998, 89, 56871, 10784, 784, 5308, 49712, 89, 22524, 52097, 509, 45015, - 8910, 2329, 73, 3418, 677, 4912, 80, 69, 24752, 11377, 10776, 391, 21325, 6511, - 552, 2319, 1658, 49712, 9700, 70, 73, 8998, 80, 285, 365, 64305, 89, 61057, - 1729, 86, 5298, 71, 544, 307, 798, 23913, 70, 2303, 263, 76, 16400, 89, 48380, - 33323, 80, 24244, 48372, 18926, 7910, 3418, 85, 1551, 4341, 677, 44067, 3601, - 3696, 48610, 3427, 89, 710, 10470, 587, 36722, 49463, 45015, 13009, 9700, 79, - 372, 30987, 81964, 21796, 48380, 588, 371, 2201, 3059, 89, 55418, 47154, 73, - 53289, 13722, 3524, 2642, 18854, 1764, 68, 16618, 80, 764, 80, 5241, 1604, 5972, - 88, 352, 1662, 64087, 80, 4991, 10910, 953, 80, 303, 80, 1498, 376, 377, 88, - 6634, 80, 1466, 7453, 94912, 9490, 8462, 15618, 65, 710, 89833, 75, 80, 88, - 437, 73873, 89, 2312, 318, 66, 359, 9832, 3601, 8207, 23361, 74, 418, 67, 34175, - 86, 80, 25457, 66, 333, 85, 3178, 1725, 268, 80, 4484, 604, 84, 4341, 5469, - 89, 78498, 89, 35531, 67800, 4852, 441, 65, 93000, 33721, 318, 74, 604, 36851, - 64145, 93797, 2465, 80, 61057, 302, 3316, 2191, 31019, 19456, 20824, 637, 8826, - 21486, 351, 79, 6414, 3178, 1725, 80, 89, 42818, 80, 404, 1498, 86, 85, 588, - 74, 634, 14088, 87, 23361, 80, 47689, 30506, 1029, 12119, 80381, 5964, 66, 1498, - 73, 6292, 291, 89, 6256, 7835, 1498, 66, 7453, 73, 87, 19239, 582, 5308, 93529, - 1634, 88, 329, 10616, 86746, 20191, 402, 4080, 86, 2005, 6511, 361, 74, 5308, - 450, 66, 8462, 6780, 363, 4719, 85, 9810, 80, 29238, 80, 1910, 13855, 309, 69, - 1498, 9092, 4922, 5418, 830, 79, 1100, 12682, 83, 73, 87, 73, 318, 66, 3423, - 65, 80, 2332, 3906, 370, 710, 327, 28546, 87, 7488, 86, 12940, 773, 6043, 80, - 10847, 84506, 352, 830, 65, 10616, 329, 22119, 4458, 64, 427, 79, 372, 21659, - 31881, 3423, 44970, 1662, 1233, 8510, 31577, 81, 1031, 2308, 87, 318, 12498, - 18299, 88, 869, 4657, 773, 339, 3841, 72, 4912, 3518, 406, 73, 3251, 65019, - 88, 7047, 10630, 9092, 53060, 9902, 82999, 4625, 309, 38361, 67800, 16848, 70, - 675, 42848, 87, 8671, 28990, 25604, 74470, 1662, 79, 7737, 418, 2690, 12328, - 3893, 24672, 398, 53016, 32759, 3181, 72, 906, 652, 80, 13075, 31019, 48872, - 96304, 5104, 637, 4381, 683, 70, 604, 1073, 625, 74, 58598, 28990, 418, 501, - 80, 1216, 53016, 87, 43723, 66, 352, 85, 12940, 747, 404, 2026, 14170, 80, 8088, - 1031, 967, 86, 911, 45228, 73873, 88, 1331, 581, 906, 85, 70391, 17008, 80, - 275, 22619, 2739, 85, 16400, 4317, 80, 509, 372, 343, 21659, 2176, 80, 333, - 1065, 9780, 73, 375, 20372, 1677, 71, 10056, 9902, 89, 5697, 336, 675, 71, 641, - 29684, 1030, 39152, 911, 19747, 80, 32204, 1662, 1065, 4484, 89388, 1609, 3647, - 94869, 6036, 1764, 15258, 1551, 16373, 5289, 85393, 5469, 2411, 77, 1551, 85, - 47154, 365, 69, 26397, 76, 1026, 5544, 1494, 15618, 52971, 11089, 51622, 70391, - 4991, 83079, 7737, 71, 450, 65, 16276, 84, 5308, 939, 24244, 9289, 89, 19072, - 462, 1729, 11805, 36851, 329, 4010, 307, 333, 1662, 38041, 11160, 1658, 796, - 5237, 45228, 8050, 70, 80, 10776, 9092, 1631, 363, 34175, 2070, 36068, 68054, - 14949, 1031, 3906, 73, 13536, 71, 10470, 83448, 5010, 9092, 77, 7488, 84, 300, - 25770, 26636, 544, 86, 4010, 22473, 8536, 3251, 76, 1286, 261, 17704, 4341, - 70, 27455, 11872, 55568, 351, 74, 10056, 80, 12498, 70, 73, 46790, 566, 377, - 398, 67, 1100, 376, 38361, 69, 24012, 580, 85, 80, 11851, 32589, 377, 22619, - 316, 3576, 652, 70, 2329, 3251, 343, 2319, 82, 441, 36851, 79, 20127, 71, 1609, - 29700, 89, 92216, 87, 398, 1517, 73, 637, 67, 5346, 71, 7501, 7141, 96518, 6098, - 81, 418, 85, 10470, 83, 544, 41796, 89, 89835, 6358, 85, 4777, 564, 35804, 604, - 80, 38181, 302, 95947, 70, 12723, 412, 80546, 395, 1273, 1029, 300, 87, 3368, - 1273, 454, 74, 5972, 74, 1030, 12748, 80, 450, 20127, 5964, 69, 351, 75, 9907, - 9092, 77827, 7063, 84, 2319, 266, 303, 365, 18577, 1073, 675, 3647, 69, 454, - 87, 8587, 73, 85, 3893, 28679, 80, 25299, 1029, 57208, 9092, 9117, 2034, 89, - 2689, 5972, 9991, 79, 12498, 74, 89, 29684, 2302, 29684, 76064, 89, 14694, 288, - 98667, 7501, 80, 39172, 2005, 73, 3479, 14244, 73, 13183, 31019, 344, 360, 22016, - 1936, 9081, 1725, 30506, 11160, 1919, 81, 42908, 80, 89, 4223, 86, 2302, 418, - 3172, 87, 1729, 303, 80, 2329, 566, 85, 1336, 13536, 85, 44970, 9832, 73, 86, - 302, 73, 1220, 18571, 774, 46224, 10784, 5544, 73, 4912, 1371, 12940, 1073, - 73, 12082, 80, 1394, 53060, 437, 6043, 511, 17137, 85, 1065, 88, 4010, 7044, - 32204, 451, 88, 7387, 6511, 1320, 283, 327, 581, 70, 33863, 23913, 89, 20824, - 22016, 1394, 40924, 344, 89, 754, 7453, 73, 85514, 80, 2668, 575, 67, 1725, - 675, 69, 73, 15720, 67782, 418, 69, 41796, 87, 302, 73, 54909, 10616, 2312, - 74901, 74, 36238, 2580, 18854, 2042, 89, 399, 89, 31268, 74, 45015, 38041, 5469, - 12498, 13391, 14029, 652, 66565, 3178, 35949, 1631, 4341, 5469, 49938, 65, 1897, - 295, 2111, 344, 47154, 73, 2580, 73, 65019, 10333, 8462, 78, 1065, 6634, 71, - 1804, 267, 66, 40078, 3013, 74, 6331, 355, 1729, 80, 24672, 540, 35531, 2445, - 15008, 89, 5104, 1273, 88, 69, 1494, 1091, 2249, 88, 37975, 2857, 9832, 25299, - 710, 70, 80, 89, 97523, 23866, 261, 89, 70678, 764, 87, 18577, 21486, 8480, - 69468, 3841, 20926, 80, 352, 12498, 73, 42528, 36825, 301, 80, 418, 89, 45788, - 337, 9832, 89, 85, 12498, 76, 1030, 1394, 11377, 73, 869, 728, 5241, 773, 88, - 3340, 85, 1310, 80, 637, 4239, 30407, 3415, 68, 71696, 762, 302, 19239, 89, - 1320, 1394, 764, 93000, 4680, 71, 2249, 69057, 501, 23760, 6200, 91998, 18400, - 85, 20926, 7501, 73976, 79, 46390, 80, 318, 370, 18577, 343, 1725, 70, 1658, - 4991, 96605, 73, 1029, 9832, 376, 67, 8536, 301, 89, 331, 85, 1347, 1931, 73, - 6632, 301, 278, 46341, 784, 1725, 63643, 60013, 32589, 89, 1310, 89, 24990, - 86, 18854, 4937, 4680, 87, 71, 483, 355, 455, 25299, 664, 67702, 1073, 9195, - 73, 6634, 59524, 74, 80, 2739, 18854, 74, 501, 1331, 86, 26738, 391, 1073, 64145, - 70, 2067, 359, 47875, 3251, 1498, 3933, 6780, 1739, 4912, 4223, 418, 79, 1897, - 664, 65, 10188, 80, 983, 11823, 266, 48320, 5192, 36851, 74, 8311, 876, 15444, - 3906, 87, 2332, 75, 80, 14878, 2465, 4835, 983, 76, 8462, 784, 5469, 575, 3013, - 59524, 375, 12328, 73, 20127, 89, 983, 9112, 713, 324, 86, 11253, 7819, 1092, - 86, 89, 339, 74, 15959, 295, 51924, 1073, 89, 31721, 325, 1331, 309, 85, 12407, - 8671, 59524, 20211, 4484, 998, 283, 8318, 88, 73, 2312, 1036, 21888, 7004, 2026, - 5241, 80, 2332, 36171, 87, 2303, 89, 26929, 1366, 20127, 71, 70678, 1551, 84, - 773, 3806, 21206, 278, 81, 9664, 76, 38359, 85, 1394, 773, 869, 3906, 953, 347, - 76, 1978, 383, 41622, 509, 339, 80, 17156, 266, 9117, 87, 84, 12748, 88467, - 708, 15618, 73, 46341, 447, 48380, 80, 7208, 74, 87, 70, 73, 70, 1290, 88, 324, - 302, 78, 336, 3306, 86, 361, 4922, 89, 73, 764, 307, 31172, 8671, 70, 283, 96518, - 31422, 88, 73, 2159, 332, 2067, 710, 668, 8462, 31764, 70, 3013, 19271, 86, - 657, 79, 316, 74, 447, 263, 44970, 5481, 44490, 17043, 32973, 4168, 2302, 74, - 7501, 9832, 451, 1247, 575, 344, 2042, 1031, 81, 1739, 69417, 273, 11289, 81, - 2445, 307, 28679, 1273, 8385, 648, 78, 511, 2445, 7047, 76188, 441, 2192, 80, - 54803, 9700, 5308, 68054, 71, 398, 3415, 953, 88, 73, 10462, 363, 31172, 370, - 89, 9810, 71, 1517, 52719, 84, 587, 3418, 82, 3423, 1729, 89, 876, 82, 3415, - 73, 85, 2642, 22524, 377, 4942, 73, 564, 9700, 87, 2106, 8318, 88, 80, 22619, - 752, 70, 1394, 75, 3178, 4835, 89, 657, 18571, 1729, 8207, 86, 89, 92216, 3172, - 4942, 3933, 332, 939, 57208, 9991, 363, 19239, 4511, 89, 73, 347, 86, 9081, - 70, 8587, 2580, 80, 325, 9490, 3906, 19747, 5481, 70678, 5544, 67, 34175, 29229, - 13616, 73, 12130, 36851, 85, 80, 36068, 6200, 427, 17704, 80, 3251, 85, 31695, - 402, 3516, 869, 74, 383, 2067, 72801, 79, 1791, 73, 939, 70, 1604, 3368, 86746, - 87, 392, 75, 543, 4835, 88, 80, 4086, 94055, 16400, 71, 75406, 339, 625, 1729, - 31764, 15479, 511, 1551, 5598, 398, 1320, 346, 11377, 437, 901, 85, 80, 38041, - 73, 59448, 4223, 85, 3601, 283, 16820, 41796, 85, 4381, 336, 55498, 283, 22119, - 14878, 44183, 455, 3059, 21538, 16017, 73, 5683, 89, 372, 708, 28927, 9832, - 66, 98667, 752, 80, 69, 89, 1231, 8088, 11222, 1394, 3306, 71, 1517, 911, 85, - 17134, 2302, 85, 818, 7141, 65, 5298, 70, 3601, 7521, 4355, 3223, 84, 347, 70, - 4080, 61057, 46341, 1804, 28927, 46341, 47154, 16400, 8462, 12119, 32547, 1658, - 12591, 20127, 12825, 84, 80, 275, 3172, 10470, 9117, 417, 73, 894, 34967, 80, - 7488, 86, 80, 953, 2312, 17134, 86, 288, 77, 343, 10616, 25105, 29238, 74, 9110, - 39152, 86, 1310, 76, 385, 1610, 74, 89, 9509, 61318, 77, 78498, 73, 88, 5418, - 56178, 89, 9197, 398, 347, 55655, 25299, 5289, 3893, 25105, 675, 43210, 398, - 65, 2329, 376, 2203, 17134, 75, 333, 89, 10910, 1336, 87, 32837, 75406, 80, - 4010, 80, 1026, 75, 3368, 68, 55334, 42818, 80, 89, 1551, 31695, 86, 10784, - 2329, 9701, 544, 81, 339, 20990, 10796, 75, 1094, 14606, 85, 1336, 45228, 3576, - 336, 11949, 391, 86, 8088, 46224, 291, 36851, 424, 73, 86, 3415, 1609, 89, 4168, - 88, 47391, 8587, 28990, 29700, 80, 3055, 402, 14928, 67, 7488, 876, 76, 6780, - 88, 36825, 42908, 2312, 3306, 2739, 80, 25295, 30506, 501, 21066, 93000, 2562, - 7215, 337, 80, 88, 677, 69, 33863, 80, 16820, 572, 35278, 77, 80, 1065, 64, - 309, 77, 544, 1149, 68054, 784, 2332, 67, 2641, 73, 88, 9117, 87, 4922, 79, - 911, 83, 10616, 11823, 275, 73, 21620, 31268, 70678, 1029, 98496, 12328, 10910, - 79, 416, 85, 89, 664, 26397, 71, 73, 32962, 10056, 85, 17134, 1146, 80, 30463, - 1551, 24990, 70, 41670, 604, 67702, 11032, 7488, 385, 581, 80, 1247, 11823, - 87, 9701, 501, 1146, 352, 76, 44183, 21620, 936, 9700, 76, 1216, 76, 2396, 2249, - 2739, 73873, 87, 18664, 88, 1919, 86, 85, 2042, 5972, 28546, 73, 86, 11089, - 22619, 80, 99161, 1216, 45228, 2438, 70, 511, 79, 391, 25299, 939, 86, 1718, - 80, 70, 1764, 21796, 74, 47154, 67800, 9490, 28679, 67, 365, 406, 73, 43974, - 89, 19239, 652, 71, 73, 89, 3841, 60013, 2249, 69, 5584, 6194, 70, 80, 73, 21807, - 58305, 329, 1029, 74, 7453, 1216, 80, 3141, 97816, 4511, 17134, 60933, 45015, - 74, 5721, 664, 5010, 327, 74, 80, 295, 346, 89, 24527, 1331, 96250, 344, 89, - 80, 8088, 953, 82, 2727, 318, 352, 347, 8207, 73, 88, 8462, 75, 796, 14606, - 1662, 540, 17851, 36825, 1031, 80, 359, 1310, 11823, 566, 588, 73, 5038, 4942, - 49595, 8462, 4942, 32204, 85, 1029, 73, 4484, 309, 9902, 85, 2857, 10784, 82969, - 747, 88, 64087, 302, 86, 4080, 73, 87, 31764, 728, 91295, 95143, 7513, 869, - 359, 67020]], "model": "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '45399' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6XROyvJbs/f4Vb723nF2CClnsOwREvkwQEHVq6hQoIqAiHwmQqfnvp/TZNafm - xgtIIQmdXt298l//+Ouvv5usyq/D3//66+9n2Q9//5/vtVs6pH//66//+Mdff/3113/9fv/XyPyV - 5bdb+S5+w383y/ctn/7+11/i/1z5/4P+9dffPK51Zlm5w7mkNi+wXlnNrHNYerPffK4Qe1bI3MOi - 6Oa2C3X4PNM120LZV5MsPW2kif1Edu7uzscyWyXImg93LLn2bIyrW9qg7N0kOGq7VTYt12WAzDg8 - E3PBlt1U3E82IsXZIM5dEHlzXQ81ii0W0PF9LSOuN5CiPksntvGEYzSqjViqj4e1YMbwWXq9J5xN - tFoEB2JK/JIxIZ80YLfwyUjp4W5QvaxH3VN1iLVRrx09zrquVp1AsFAkp2rQiJeC7OMZd69FUHFo - HBGm55ERzxE9Y7x0eopky1jjhm53fGLPtQLz3b1QMRm31SRsdhZyNQNjtTaJMeeofcFhffdpIbIh - o900UPCYVjH8jhNvitmbouydXSjnn7KafdkZ4bHvPYLf8dIrHseugd/8rNwNvFFT/RIJaSRh9dJF - FevM5gz7ZzGzVBEO3UD3+wD69epNdhyzaG78kIIRgkT26+UWjfdVYUHXuwbTjRUx+gopV3RenW40 - iaa4Y+nufkXHSqHM8+cPH8++ZymDOZRs+xDXEeV+eQVpfjpEOzRtNulX+oJ5v6vZVq4HPssX2159 - ulhi2jQssmEc7BRNqPiQqMGWNxrIwNCAtSPG7FYZLRcigGxt1kxHvdx9nDGagZ2Shorn3jCmwZpq - aJDkElK9hGq6+MOIeBrpbPdODbRiO0GAL54Yvqt2JTnsDkjLUo1s9o/amE/B9gXwfN7JqZaNTJp4 - bKKQvyX8ePVON662rYhMnVREZ2LOebB8J6gt5pztZEutBmFDTHhcaotsGs8xBoLUFoyWtmR/6XjF - QprG4DTFkRnuS4/G9ycQ1cg7tmwfBgmfHHYX0PEmjFRab+4ZD7c4hU14rvFKttSOa/rzBSS9bsnh - Ng/VuPaWBZgTw7S9xj5azckN5OZMUrKr5Sobda+qYbdiO7KnNzfiCS8KGIL3DQtZ4XaSrYGLhnVN - 2HmdxsaUXbVa1U+iTwKla7vZsG6hvOAvj2hPOUJDrp1EOGO9Z9viYkfz6rBuQFjjJ9GFdp3NEQqX - ixlEnxHjlkZj2MgxvKrKJFqRxhV3anmUF6ZZUK4KGHGnkgDmTotZlnlbg0OQ6mglxzFzy6D1GuPz - tkDq1zb7rqfHj/1Fg+dCjohX54E3LhPPRif7bdK50KKKP2a4omJ6x3/wzoVlsYQuMHwq3M5rPoXK - 2gXVOIS0Nzuj49q895GFP5TEHHnestTWS9g+Y4Ec9cmsRJTeCvCRajINDR2iSfFcI1F1Cqyk0j5j - +/BsI/nGB1q5ZWRMl+ch/X1vRubr2uBJCgpSLl6Ej0dQO/o2dymkZoEI/sQ6mtx80cIiWx6Jpx/v - xsii2USkNzSy/Y7v5NZzYbWlNXP5uzbG5BgpatKiA71NJ5k/FpeZotSMBMolWzdGCaMW7jmViO99 - SmNQS9KDOo8q84Nsgca6S21Ay3iicgm8+iDT9IFtD5w5N/NZjdfgdgU3tAws5ctLRaVscwVu9zti - a89PNw8brYbsfbmQrWvP3sCV6gXTp5/ocr7bnMufXQJ1KXCK8F7mfLdVcgjfwor2kUa68eztAjRa - y4jZr7YzxvLKbXRqU6DhTRdRJx2DK1ocu4x5+OB4Iv4sl8ruvjgQ7bp5opEzMYD4qrjM8XzBmM/a - w1Ky4ZgQ52Q3Hi21tQhyBQ0zCpYaTD4zXbkesEnMaH5x3mXXFL58zyJnZ3j8Zl0EGMd0Q8z7a46G - UBlt1cIdZbo9XI35g+YExpBishMHyvtHf29gEzpvZjDf7OgPL3Xmq8xL6NugTjgDIAgpc7qbhqTm - sFPQqOQGXQPaRNP5ZpnyD0+6w27ZsL/NLvLr3KeX4bDgFL26BNISU7b/4Vd8rmflu//Jt54aY+bs - BWjagFBppBtj0m/lGR6dt2E75eMbo+51LwTYfLHTkDyyWeo+M4z0ZVM+W7ExHtVehzTwZLKX1m9v - XG3LJQjmS8JSPZ+8KTPPI7hb1SO+hp8dbcRWRN4Nd1Rp7HXGr0chh1CeGdkchNJ4+EPeoPXGdNlG - ezce0+atD7/6oGQrXE2va5CgLJszst0wI5oPZtVD9egCQpq6NcZzpShwKhKFuG5dId71YwHmZ3Fm - Ptsb3vDR3i+QpbkgRhV/UK9+1gn68iXl8iNAY7gYYrgqpYgVbxHxZTc/SqjJUacVs4/RUPtSCY3/ - uuJptYiz7/xmVMnZFi+Mh1PVMkpsqNcd/4P3Sa2MAslna2B4ExmoTvU5gPA9KBgkp6jGFndrkI5u - hIUiffEJSx9AxvLUECOTVNSroVbCCbBIaR9uKj69ZwtJziYjmiHORqfL1x7FylHD5f1dd+PeXRQw - nhuPGWur4NP+KiQoFhsNw7wLq/EkRliNJPdItLi8cD4FbgBpH4wEa3sejTdtFKDrZOvLF7eOK5dW - BO2kC199lFRDcT+5kKx0h+ESvSPWHm0KT9G4MMfE947vzGWzbu2pI3r+iL2pC9wzqF1ofvGmG/Ne - O8QovnZ7shUWNzQFxtYH1O5lYvCPXk3ai2NY8NpjyWXaZNMru5bKtjMEDJdjhr76ylp3QeiQXVY6 - xmg9Ugtu/o7R5UdA1ZRl5qxsVYsTO7lsKnGRvxXoZnND17b2yqZnByIaw9uBeP7s8Pn0VlNYBgEw - 7VAjr6cIp+j7fYlvuTof3i5gtGenFT4FhpqNgb3EaNloEztFG4TaVscmLFztxpzHTcz6fDy/YLXt - a3bd+abx0Yh3VpVbeSSeJLXe/OP73/Nd0dSz0dTDP/uJ7Y6LtJqisNHBr/cEL6sPy2j/2Kfo8ra2 - zFrCi491VCbw3T/Ez9ftd33iAi7HcE/8/WPMeCS+NLi8JJtZlyE0ZgXzAlgjV8RhS1ZN82MBgGEO - 8WCkajZrTppCc85PZHOjecQi6SEqS1n8sE0x+tk8aOb442c65vnK4Pf6mCuPy8v6t96s8kMDJx8s - ZjnXpuKKjXs0iGRPF7reRnO6OmP46ge8YKVdrcry6sJXnzOsVHnGn0W6RHR4qFSNfTGbF9FeQZ6X - crqKNhma9cWegnTQMLstRDNiqZ2F8NkNW6ZNE+3GnMUzcPvmMl0Su27apkMAbGHdfvXPm26KacEO - pwmdW00zui8+FfEyDxSpgcXHSxS+lMDpOebOzjC6cZW84GywgUJPzGpKBIsinxaYbevlKxq++EQi - T7KffjbmpBjWoCN/QRzsAqLoVSW//UA2SaYZs1ckNoiGOGJxPa2N4TTQdK3CcoEXLlhZ31+JpVS8 - 3zLbv5nZ/JAfIZzyx4bsOXyqfqcdcjiBL9IFSo1oXA2zAPbgMqK/hNCbF51cooV88MhOdns+dQTX - 4FaNQKyPkHV/9Mnmen0xq6m8aloJEsBLioHs1iZEf/Ss+CgqukjFh0HtKguUynVPWL2wkn/12wv1 - zktmztLL+CBeWgCq7Wy2UdTI48ZnjYEu6plthYWKJnRsElhfBZP5MQzelF+MHIZATFlyjKvshx90 - CIQYL+d7gyi7+6bSOnpDp9VCzOY8CnOw33imPF4tsnnpPlxVNUpCn2ehq7h1zAGcsj6TS6Xp6Hmr - AlNFe00jbhV6Ga+at4h+7+cxue+mvaUnahyKNvGspR+Ni/y9Br26u1SN+DObQ49j+Pofoq+iFnFx - v3fRV7/Q5+xM3nT1mhBYgypaJ30SDYvL3EOBuoT53kf3uKQW9c9fYWHpsmqOI7cHd7vwiFk2WrYs - XKdV5M+nwV35eqBpM2AF6Vt+oup+1Xh8L/c5WK/2gRcg8YqGohdDuU7uTNucCtQ/DVeHmPY6w7dr - 441ejwRoW7EgmxgKNNW+WsIPv8KhEIw2FL0E9uy4Ysaymo15OqIQdmpnEswDzZsITLmK8pOAmbwS - OZfPTIOEBRHxPJIZ88Fga7TeWC5G98bweL7/XJXP00F4+cXTTx///CnZpOOim7H11NF59UqpGNFT - xWhovNQsq3K2a89lNVbKskG3M35jHhlaNh8nC8N3/sw+QFVN2dV+Qbi4M2LuloD+4PlVPUz25cfo - p9eABJ6F5eFwR09hQyzUpYn39aOjN9ZRm8D5OZbEaJlVTe1I/J8/ZJ4aWGiWL5qtjpYYsa8fjz5n - aaKQR/X+D99xeFsaejZejuW7IKJpGaQu+vppslnWdTROj1uAgnvGaXWT3G48megF0gs8ZkdZySc3 - XzVw3W59huGO0LhUT7kizUuLcmdXeePjWDVwu8Y9u4dRxD+PRRrAPEKIZT0tqu6dWD7Yh1DCfNOc - jCYfg1oNjIfMTGdWok8aSSGYTykivlyybLTZZCnivW8ZPl2zbNTd94hkqrdsFxi3bHwMUQ7Sa8DM - pNfum38sYrhkvsuCrFhHM3pVMRxRWxFstoeM37a5q8T1xSC7pU89thy0ECF/MrC4vXTVMPZm/cc/ - b9z70mBHY2vCULYhw2maeuPgtzU6d/ROtsOoZ3NfOhh1dhmx7aGiiGWvfAadnUxislXG6SM4JuAv - jR358edk1pMC/vkYE2ckeTc+hixH0bb9+dclGrXjiNXAoZy5/efZcTJmDVzuMSHeNlLR5LCTAMLa - fzJPPy686WU2JaSBIzOD2cesD7WHryqTazFnb2cdY5fMhMLevPASXWrOg9dO//E1XW/1XTW9Rc2F - VZWeyEYqK4NrxiNVv9+T2bKqV8t75wZwPz8QfUwbiU8+TXO4HnyTed35ns2QGNoff+ofBfxvffr1 - w8SbV17GPWOyIfeWJ2Lr2qXi2Tt8oXbvDsQJu9bjemifUVQlN7br48KgX/5Tzvfnm+mw3xkSU5se - kiX3aZMcw2gePgFF7BY8md2/mm7oiraH9RYTtrujFZoyIwa0VjyVmblXRn0ptgLSLT0mrnwPs7ka - gytsanwl+x8fSWrxUm8ntSVWwvVq9fWb8k3bS8xe50bUU2SdQTxmHZ6K/uZNxVofQexez5/+ifoY - +ynqTOfAtsqLeVPWFwr6+hNifhZ7Po7zdIZccmxSdNLBaLP4DsjbGRPBsk2zbmZODfrnsiN+erp5 - 3/cX0HYvbsk9utTZhP1cQyf9syOb+8FH43utJuv11ieYhSfDWxq7g6VOGwC69m91xu/PQwBPWU2Y - tRaP3ie2sxTw8nkm/uo18V64nHWonVZn33wj4ununqPXQXDYdrkvMl4duAiO+37SxVzsMp7uTlfE - Pm5B7HQOslHV+jOwjUfpZOsmHz/2GaMv3qlssx7xYNXZsJ/OA9m1Mc+aH57P9/ebLneyjJjKLgnU - 24OG10JyiIbNYK3hsace/chO2s2vY1eihavfvvlOmdEIpSJ4kf0hhqosvni1XXguUER++KNgvtYo - toQ9baM06Jhxjk2k3j2fedHYZKPSSksoGM9ooz0/Vfm+Iu3np5jVQ5qNOkf9z78R3eF9xZ87htGv - Hm1SkfIezfsEHiDIzFxLu0w8V7OClm4iEP8apd04B6IA3+/D9iR5Z81PnxNcu1RI09QYH/2pAU9R - cjyqT8VgTj2NcNOIhIdLx7ve67kA3zyCOOf3uxsSAffout35GK1iJ5rXWlxAPhkGXjrXpusgCDV0 - 2FoXKm1YlTFXlxKEi/UZM5BLPry/keUP//o3z5kWU1ugjYyudHHfM8RNawWg32aH7fbOgH71DPJb - Q5i+TWg1hMraRgJuV2w3JJuvP1oLIAT5iD8289HUrcMSZGksiNYmEx/sjxkodrZTvn7DiuYdRzXo - i3pD9Hnpc/apnz5c7gkhbnJm2RQeah8xSc/+5FOzjQwL/uz/uG47iq2nBt/9QdfJ5VH96jU6YJQz - 77bTu+VK9kHRlMv0yw/RnBLNAlSXMvFyp0L9PYccvs+nM2EOQvuPb0NhBxXZnu69Nyx0fY0OySem - q2614dImSRX0psoH52nuZKO1xiYs+bpnm3WxQeJUXkzg+ugyTf042XRKlBSOvrv+6tHZ+NVTmEch - JBrpezT1i1aD9C1TYhRMMYY7W10B7XUNw/Xk8DkKsQIEn/ZUmU2pmx09bdBSfvcYYth7Xz0Z//Ie - LEaz9W8//9X/1N1ujhHvr4GvXr3AIjfhIKGzs9JeylA23/qUOxGvL14MeL5FlN8mFFHyrGMQ98qM - +TXxMv5cYRG9a/GN1x4s+dhfiQnu4oDodJv3FaebKkCLR5VQvqvjqOm3mfXbz1T56s3p4j9HaNiC - MFyvajSd880a/erBKa7bqr/n4lX5+W3SFAof7Na2ALD1IpZRdN4wP1YCnNXyRLaaL6KhX5S62h/3 - K6aLFBlTtXRywIb/JEbBP9E7tbMADsFwItagOd0YOLOufPM5Kn79+bTtti/l6CHEDLyYvF++DC1k - GU70jcfp69gVyD1IFjOSdECsF20N1YEssF0txd5k7F0TlOcG//LqaHp2oggbajwISceJz1HVaco+ - uqnffP0ezQu4iOBc25Rsd7isppvif9cvQnRh3NJsDGbdhvd4exJ7Lp9cerzLXB1bYjEDaaMxppdX - iFy5Rn/8sZgMBlW/foicnzuoeH3elVCplUusK9O8poAVwCGAmAo6jfjqm2fLjpCHbDNtt97orOwX - 5NEp+KMnx3YJmvytb/QlK89uBpOu4T32JXGjdOwmBrWCNm5DMVrzBn3zFwGG5hSyrW+San4NWYzk - g8yJZh6CaP4gJUGqEYW/+p799APC+aqks8EXiB/jB1a//Ej0eVa77/yCP/npthNr3gSz6/74hVbD - sM3GZWK4MLGG/um3DLcqsFRiN3uWf/UV3ytFqH7zIlq/N8yYv3kgWphWQcxZdrh4QS1Fcfj0mM3r - nTcw6BVwG01j200XG/1jiK7Qxp8X0faen/WDqFC4rD8a2We4NHpap2eQCD4SM/f0TFqSJFE+K3+k - 4oJv+SSOuYCmjQDM+fIdpbtriPYbWWekKVI0G3Q4K835esISJ49qZN1HUf7kU0UqdkyXr1QxQduz - 0JL2nN/yzaj+9MC2OlmIbl9Bqpb2UsSz0J6zofbVAjV+fSVHLTANfj0u81/egR/RbZNJP783at2F - SlD23ayKVoFwO9y+fif0uteLFkj5nAMqxDmgofmgQsklz/7lnd702VRnOLVnYKZ4drLR+DATts9E - wHP90PjXn/hoPGcYT6JhoFExPgXMUXgnREqXaLbL+xXmepWy7XqziPhl7NI//Qv9/HkZc9wqJUyf - u0gnTzhmrGreS9S9sEUFfa4MfuyOPrzrd4tlEy8qHt1mXT1kWsIueWXyadVsBGS0fUuc7Pkyhv1N - cUE8Ng3D+mwYqxttLegH/4OX96Co/uRJrrbB7E/9DRfPBM671fzL+6vPdz3hXT9btjktR4PTZlHD - MvFlcrcy2Rvnph5hcfxkRFdJk3H64emfftVPz4vJMVOgiN2colWQfvPeWoOH0TrEgnUdzfgetGqj - lykxX+qC0/3idoXLw7WJLzlFx/eHawLeJp7o5anM2ZtN+hoUhG2qVl1htGIo2EqQRZR2j2LK/vDN - t/9Kh68eZYN8WsNnJ+jErno/G0IZYvTt9+GFEM98JJe8AFtgLeVJOvD25y/mp3X6o/f/5NtfvqXr - XWUbvXnBI8hUa//wQ/PtP4L6Qjp9bw6RN6ZpaaHVkF/Y9ix03RyoVxcc4RqSg1tto5meoIZ4DARy - DhQ9EwNb8OFCtiHbfOvFJBVzDuna7YiT36VuyLW7iG61VeJlwvVOfLmHEmjVr5nfjltvONHWB6cp - j0SfxmvWf/MJdaO4l3/rXxTXhfKZAk42fsarsfTuGnrs7xjL7SnIpmt5DcG92lucuKt1N1KEz8it - WoERKbc86bPpzmg17K9fvvhwqjlhCurD16m8OvRR8z58dKCu5xJ3soyKf+oBw+tz31B+k9xKggx0 - NBfsSKE6NtncB08L0iThdA4/l2hkkWL96Y/99NhXX5XyWryqbK+fr0a/rzob7dxNjOd5vlXT2xUx - /PpL9Syl1SzptyWKN1rAAn0OOO+M+gV//04F/Pc//vrrP38nDF7NLX9+DwYM+TT883+OCvwzvaX/ - FMXlP9nyz0kE2qdF/ve//n0I4e9P17w+w/8dmjp/93//6y+QVOnPgYO/h2ZIn//7zj++//jf//h/ - AAAA//8DADtB0HjnIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c09bf85ef231c7e-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 01 May 2023 17:29:42 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '406' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 3c27a4a0263197ea84526b8aa83799d6 - status: - code: 200 - message: OK -- request: - body: '{"input": [[359, 74901, 1146, 437, 11949, 3933, 74901, 728, 86, 511, 73, - 5241, 65116, 4991, 375, 10333, 20191, 89, 383, 22650, 1551, 327, 1810, 1804, - 80, 347, 11089, 3013, 752, 1100, 73976, 303, 32547, 73, 3696, 3906, 77, 969, - 455, 62615, 6581, 66, 501, 67, 2649, 12825, 8536, 89, 2067, 85, 80, 70, 74, - 755, 74, 352, 73, 4086, 3178, 87, 80, 35401, 376, 15618, 655, 13423, 33863, - 3933, 911, 77, 32204, 2689, 454, 29200, 2176, 1739, 65, 8998, 38844, 4223, 953, - 14088, 21486, 1316, 12328, 1725, 21486, 24752, 86, 1394, 5308, 321, 31019, 89, - 80, 73, 5981, 88, 69, 2249, 19072, 23576, 9110, 47154, 876, 73, 2319, 1029, - 6292, 69057, 2857, 20191, 2329, 80, 6455, 46640, 351, 89, 5289, 876, 77584, - 73, 2026, 84, 361, 23361, 87, 85, 4680, 85, 80, 13009, 86, 1725, 73, 641, 80, - 45015, 85, 447, 1072, 86, 22374, 14029, 83, 28679, 73, 70, 5298, 7369, 79, 544, - 12591, 327, 9701, 80, 2465, 84, 455, 11949, 7881, 74, 4912, 44508, 80, 5298, - 17553, 31268, 85, 604, 77, 11032, 6331, 9490, 45444, 450, 6236, 1919, 67, 20990, - 34175, 1804, 73, 41101, 80, 277, 73, 89, 664, 723, 49755, 80, 2191, 28531, 8587, - 15555, 79, 675, 42818, 375, 3601, 82, 1334, 76, 89, 511, 87, 73, 318, 4080, - 85, 1146, 80, 983, 796, 12825, 67, 4086, 78, 336, 1897, 80, 70, 11032, 7501, - 85, 12825, 651, 79, 16017, 80, 268, 69, 4021, 15817, 3757, 16400, 652, 28679, - 5964, 73, 17063, 80, 9907, 67039, 848, 85, 5308, 76, 657, 65, 1216, 88, 40924, - 11949, 76, 377, 79, 1091, 258, 343, 4080, 13752, 70, 27515, 265, 1273, 85, 89, - 44970, 71, 708, 582, 637, 1395, 1662, 83, 27457, 5308, 8942, 1498, 360, 89, - 10002, 67, 4317, 269, 587, 86, 13616, 31268, 73873, 299, 80, 73, 14088, 455, - 8480, 1609, 372, 53060, 48380, 17008, 48380, 35401, 40078, 45854, 652, 80, 21796, - 1551, 89, 9832, 87, 74, 1029, 307, 61057, 85, 12498, 648, 541, 267, 89, 70, - 24752, 80, 18577, 43210, 74, 370, 80, 830, 4341, 87, 8890, 4890, 31218, 641, - 82, 6331, 85, 80, 14170, 71, 325, 48186, 16400, 68054, 346, 9991, 78930, 939, - 1310, 4239, 93000, 73, 2067, 86, 11032, 43210, 8311, 80, 38768, 86, 1494, 2312, - 92216, 41670, 13028, 48802, 89, 7369, 69, 2005, 73, 7783, 953, 85, 49450, 73, - 1029, 402, 84274, 1026, 76, 89, 85, 664, 8088, 75163, 376, 20127, 80, 10470, - 406, 13183, 10616, 36722, 511, 1394, 87, 60933, 1031, 76, 1540, 5308, 66, 939, - 634, 4991, 29682, 351, 332, 4086, 19639, 15618, 16017, 49450, 73, 87, 20191, - 10176, 80, 32204, 32589, 1116, 355, 36238, 10470, 74, 2312, 76, 60013, 375, - 71, 55506, 87, 8671, 89, 11089, 8910, 74, 9326, 3933, 23048, 86, 441, 718, 7047, - 75, 398, 455, 73, 85, 20211, 343, 1565, 2042, 14088, 69516, 1517, 82, 5697, - 80, 2554, 88, 2005, 65736, 17043, 677, 19747, 28927, 69, 332, 70, 17207, 80, - 74, 1729, 2249, 82, 911, 71, 983, 664, 80, 301, 450, 83, 2465, 3423, 307, 84, - 4317, 80, 88, 275, 3172, 1800, 69, 352, 762, 36255, 953, 3696, 3919, 10470, - 64087, 46640, 73, 2329, 81, 8050, 13009, 20191, 71, 73, 365, 23797, 14088, 78604, - 3055, 8783, 85, 12953, 53060, 398, 79, 391, 22619, 540, 6043, 73, 85, 664, 77, - 2235, 86, 344, 79, 708, 89, 406, 73, 360, 2933, 41287, 9092, 88, 2026, 344, - 89, 56099, 2201, 1073, 359, 65, 35401, 86, 1897, 78989, 2130, 89, 43312, 67702, - 3906, 86611, 89, 894, 17692, 85, 30407, 86, 18854, 74, 710, 65, 93000, 13536, - 588, 764, 69722, 11949, 22650, 86, 501, 24244, 637, 418, 5298, 89, 450, 88593, - 919, 10036, 4341, 8480, 4341, 9907, 418, 87, 86, 80, 16276, 5104, 18854, 11328, - 14878, 80, 269, 5298, 84, 80, 68412, 89, 4777, 70114, 575, 67, 4355, 351, 32868, - 1146, 4341, 1331, 70, 5298, 77, 1498, 87, 2302, 18577, 998, 87, 664, 85, 1347, - 1729, 9700, 708, 11949, 73, 2302, 74, 89, 73, 906, 1220, 21620, 80, 69, 40078, - 5972, 372, 16916, 1215, 93797, 22016, 78772, 5289, 65, 7369, 12328, 9092, 67, - 2302, 70, 7387, 80, 81706, 444, 647, 3418, 80, 73, 1073, 28679, 77, 4223, 894, - 2701, 70, 6511, 10200, 4511, 77, 333, 27455, 509, 3368, 74, 17008, 93000, 18571, - 19747, 87, 85, 5972, 84, 70014, 24752, 876, 28927, 18287, 318, 27515, 14029, - 80, 30407, 1394, 82, 441, 266, 76, 45854, 1498, 582, 77, 24752, 74, 17134, 66, - 5981, 67, 1100, 2562, 325, 86, 295, 55655, 89, 1331, 85, 1302, 80, 1216, 32868, - 324, 35940, 1331, 9907, 2562, 9081, 4336, 83256, 46341, 303, 85, 2332, 70, 55418, - 1030, 370, 73, 3368, 5241, 263, 29238, 8998, 23866, 2641, 80, 764, 5289, 15306, - 1662, 28679, 77827, 8303, 20824, 35401, 23361, 9907, 85, 354, 86, 48738, 6993, - 80, 1026, 1146, 1910, 12498, 80, 8212, 12825, 65, 391, 22119, 87, 22873, 8088, - 24244, 915, 81, 11927, 6511, 307, 509, 52926, 1546, 4239, 47689, 27093, 28927, - 24037, 1546, 81, 4223, 1320, 5673, 283, 69, 418, 87, 71, 455, 85, 4080, 80, - 16618, 302, 911, 75, 2203, 48380, 80, 998, 67466, 14029, 1302, 72, 318, 51788, - 84, 1813, 89, 31764, 32204, 1302, 3601, 44970, 80, 22119, 71, 29684, 4942, 1094, - 318, 31722, 15008, 427, 79, 3178, 25506, 84, 355, 9092, 81, 4991, 55427, 73, - 7005, 7141, 49595, 3427, 87, 332, 86, 80, 831, 71, 9701, 76, 44183, 295, 277, - 363, 64087, 327, 53016, 85, 392, 24672, 8892, 3223, 83, 361, 89573, 69, 1029, - 82, 12940, 352, 6200, 73, 42848, 5469, 31695, 275, 64003, 581, 2739, 710, 360, - 40078, 581, 21659, 29238, 29700, 74, 77827, 12591, 79, 309, 587, 728, 9326, - 8934, 53835, 325, 3059, 450, 83, 80, 8783, 402, 79, 10616, 363, 80, 11949, 1631, - 352, 383, 21206, 1546, 35531, 74, 42818, 1029, 43505, 1791, 6511, 70678, 4922, - 564, 56749, 89, 11328, 404, 3306, 76, 89, 657, 462, 447, 79, 447, 87, 86611, - 8088, 71, 10036, 675, 27093, 84, 49450, 6331, 80, 69, 89, 70, 10616, 352, 354, - 324, 89, 18577, 1302, 337, 2303, 36722, 1517, 15930, 69, 8510, 18854, 67, 50798, - 1804, 77, 24752, 18571, 15720, 675, 1546, 71, 4912, 346, 28990, 24752, 544, - 36238, 87, 2034, 6583, 276, 69, 73, 88, 303, 69, 5701, 2642, 25947, 377, 511, - 77, 9117, 89, 3306, 65, 60933, 73, 31268, 39342, 511, 5701, 84, 360, 29229, - 72, 324, 12825, 4937, 65, 2580, 16618, 87, 71, 25013, 2642, 398, 19072, 50798, - 10056, 86, 85, 10056, 6292, 72, 540, 83, 3906, 266, 13009, 634, 3172, 31881, - 347, 8480, 46224, 4484, 8783, 2130, 74, 911, 9988, 67, 1331, 1910, 22016, 29238, - 4239, 47689, 38844, 22650, 89, 544, 22619, 71, 4680, 44067, 822, 88, 85, 2438, - 86, 3647, 4680, 39911, 11328, 27093, 69, 318, 318, 1994, 7141, 876, 7513, 21659, - 2319, 2076, 11328, 2298, 4223, 784, 85, 89, 80, 11823, 418, 1065, 300, 55233, - 441, 80, 74, 87, 24752, 44970, 67039, 89, 81, 73, 267, 23913, 1007, 9700, 65, - 27093, 28927, 77827, 3576, 39172, 1146, 953, 75721, 86, 455, 87, 86, 18854, - 80, 8318, 540, 5418, 327, 321, 21796, 24752, 1885, 7737, 324, 66, 566, 84, 1739, - 1739, 22780, 16276, 84, 80, 285, 894, 86, 830, 42848, 418, 23913, 28073, 20811, - 86, 344, 3647, 86, 406, 2332, 70, 8910, 1551, 2308, 339, 14088, 69, 7488, 72, - 12583, 316, 15618, 65, 20926, 11032, 71, 12412, 50536, 44067, 13855, 728, 278, - 876, 581, 23913, 2727, 44970, 447, 8480, 540, 7047, 5132, 4341, 333, 27093, - 1320, 72801, 31721, 78930, 462, 309, 23576, 19639, 59270, 32962, 437, 648, 1247, - 1919, 9902, 1568, 4484, 983, 24752, 87, 418, 540, 89, 80, 34175, 14878, 12940, - 2201, 4748, 375, 65, 1919, 65023, 564, 43518, 1100, 89, 85, 10776, 8839, 72540, - 12498, 4215, 713, 36726, 73, 87, 10616, 77, 10616, 45015, 359, 65, 5298, 343, - 92216, 87, 85, 344, 86, 22650, 953, 23913, 70, 31764, 64305, 75, 876, 70, 31695, - 318, 876, 85, 28679, 31268, 52971, 78498, 12940, 73873, 6194, 77, 3601, 84, - 2249, 75, 1551, 88, 38977, 3696, 936, 80, 70, 20975, 5010, 9081, 80, 764, 12184, - 333, 637, 18854, 87, 7521, 3919, 634, 78, 1540, 89, 1662, 83, 39911, 8088, 4317, - 329, 70, 3527, 40924, 74, 894, 1065, 18577, 74, 2641, 80, 336, 83, 1662, 59524, - 5104, 1517, 70, 2554, 4168, 85, 39911, 73, 796, 37406, 89, 11099, 31172, 80, - 17134, 84, 2005, 71, 28774, 2034, 15809, 1216, 69, 26397, 1100, 588, 301, 4777, - 831, 2985, 1029, 94908, 9081, 1609, 8050, 73873, 20926, 275, 9832, 64519, 86611, - 2933, 73, 1394, 7387, 818, 70678, 89, 1739, 21486, 73, 540, 86, 2067, 3306, - 16276, 7369, 43813, 4341, 641, 588, 35531, 74, 6358, 84, 427, 40078, 94346, - 8207, 10169, 89, 31695, 13223, 333, 355, 9110, 81656, 399, 79, 7907, 4021, 33721, - 8942, 52971, 1394, 80, 325, 85, 796, 14736, 637, 6098, 40101, 74, 383, 441, - 80, 17008, 437, 85, 22619, 80, 398, 87, 80, 73, 88, 5544, 8892, 24244, 652, - 89, 23048, 80, 6200, 65, 3841, 43189, 1029, 9991, 303, 1026, 81, 302, 69, 418, - 87, 566, 784, 9902, 370, 76, 32589, 1302, 48380, 501, 2192, 80, 60013, 2034, - 1065, 41922, 3251, 9490, 1320, 69, 451, 321, 1336, 361, 29700, 16400, 77, 8671, - 5544, 657, 81, 73, 911, 2312, 454, 1347, 13855, 2562, 80, 1310, 68054, 2642, - 4942, 8207, 86, 331, 67702, 6034, 92216, 14170, 58781, 1609, 19239, 74, 50798, - 377, 1310, 89, 564, 8050, 1919, 2857, 6043, 39911, 77, 9117, 1347, 76, 751, - 41129, 89, 8212, 68054, 35531, 70678, 2857, 80, 9902, 67800, 89, 406, 17851, - 89, 3013, 72, 360, 24752, 9902, 4341, 88, 830, 4385, 72, 1094, 1108, 437, 7217, - 70, 3933, 88, 80, 2580, 9509, 73, 29700, 641, 894, 5964, 89, 85, 894, 540, 8783, - 9490, 67039, 363, 81, 6511, 83, 80, 20811, 392, 3315, 2303, 2642, 70, 3306, - 2076, 76, 89, 30142, 38041, 4937, 11253, 73, 4086, 581, 8376, 982, 402, 2319, - 20306, 23457, 89, 44490, 675, 383, 22619, 80, 70, 80, 69, 3415, 68, 8635, 31172, - 86, 11032, 447, 67, 4835, 65, 26397, 1962, 65, 5469, 343, 1029, 66, 1677, 87, - 318, 86, 85, 1072, 39152, 1302, 1336, 80, 12591, 321, 7521, 42488, 87, 1546, - 17082, 17851, 418, 5972, 23361, 69, 38253, 66, 60013, 680, 73, 34485, 989, 18244, - 87, 398, 5298, 327, 1072, 3145, 355, 3178, 1739, 532, 20926, 81964, 22619, 32478, - 73, 30275, 392, 10616, 87, 73, 86, 89, 21206, 80, 943, 80, 49938, 3576, 8376, - 7717, 10784, 1105, 5481, 1247, 494, 86746, 9996, 55767, 17704, 75406, 28990, - 77, 62604, 5481, 13028, 710, 1273, 53835, 77, 39911, 6375, 15618, 919, 307, - 773, 85, 24752, 87, 5104, 454, 89, 35531, 8934, 13855, 451, 71, 2642, 347, 3178, - 261, 87, 371, 2727, 402, 67020, 8462, 1100, 85, 360, 376, 40924, 84, 20127, - 28679, 26047, 39152, 23866, 10616, 44183, 28927, 32589, 5104, 69, 1146, 45015, - 351, 13183, 708, 1247, 85, 1310, 98714, 2191, 69, 12407, 359, 544, 80, 74, 6870, - 84, 89835, 70, 8890, 352, 74901, 4385, 80, 3306, 86, 347, 86, 18244, 98493, - 3601, 316, 89, 501, 22650, 1273, 76, 24990, 511, 911, 77, 5544, 406, 32204, - 10616, 70, 376, 4744, 85, 3576, 84, 392, 71, 3178, 81, 20127, 3893, 80, 70, - 344, 87020, 303, 65, 66362, 41933, 45015, 71, 9110, 86, 383, 764, 75406, 2496, - 23913, 283, 80, 50139, 80, 56414, 581, 1302, 24990, 80, 7521, 77, 8480, 391, - 3315, 23866, 24752, 1347, 67665, 73, 18442, 85, 501, 74, 2641, 48836, 19260, - 588, 1662, 77827, 9451, 86, 540, 2319, 31881, 73, 6634, 564, 7513, 511, 1073, - 276, 79, 2933, 80, 89, 4171, 16276, 73, 3841, 89, 4937, 80, 7521, 566, 9794, - 6194, 80, 73, 10776, 14694, 84, 710, 10470, 67, 1302, 360, 73, 27093, 9490, - 1146, 36068, 9490, 76, 8671, 70, 60083, 333, 3055, 10333, 797, 12883, 73, 89, - 3013, 87, 21557, 80, 18577, 70, 1609, 14088, 75, 1791, 283, 73, 519, 11032, - 1336, 723, 51998, 20127, 53289, 88, 402, 677, 418, 588, 85, 325, 12498, 96518, - 4239, 6358, 4680, 87, 6133, 73, 86, 8376, 774, 303, 1546, 21807, 8637, 4680, - 450, 447, 20127, 86, 47154, 11089, 74, 11949, 5979, 316, 73, 4086, 28774, 70, - 21796, 80, 77152, 3178, 9902, 7369, 83, 73, 2562, 26738, 86, 11160, 455, 93797, - 8839, 1923, 85, 4381, 80, 5964, 347, 869, 85, 20926, 85, 1394, 343, 86, 29700, - 6194, 21206, 267, 1031, 14736, 67, 906, 80, 49755, 20127, 604, 1347, 277, 24752, - 74, 4239, 454, 80, 1498, 73, 9112, 35401, 1302, 73873, 8910, 2026, 4086, 87, - 86, 4341, 36238, 73, 89, 337, 266, 894, 20975, 3013, 89, 80, 61057, 46640, 318, - 1546, 32962, 822, 261, 952, 283, 88, 70828, 85, 7047, 93797, 5531, 1146, 1656, - 89, 70, 89835, 2034, 641, 4341, 3423, 85, 1031, 10616, 70, 713, 66, 4744, 94356, - 28400, 85, 6292, 80, 295, 7737, 81, 45015, 1073, 86, 455, 2319, 1609, 65, 2329, - 552, 7513, 1791, 69, 73, 1216, 13423, 87, 70, 19456, 1336, 352, 13009, 89, 5010, - 78930, 86, 13584, 604, 41196, 47154, 21659, 82969, 5893, 21796, 89, 80, 1494, - 31019, 87, 19639, 87, 73, 16499, 73, 10470, 894, 2580, 20211, 454, 9117, 324, - 80, 73, 2005, 337, 5308, 258, 76, 89, 3933, 8207, 80, 2445, 77, 80, 8318, 352, - 80, 652, 11328, 35531, 80, 7369, 8671, 6194, 89, 275, 4168, 69, 89, 398, 343, - 75, 4341, 752, 301, 94055, 10462, 46640, 267, 51622, 360, 96518, 22119, 73, - 86, 677, 2329, 12940, 86, 12806, 7783, 49450, 18287, 74, 1631, 352, 86, 6194, - 3340, 75, 10616, 302, 73, 376, 31172, 9832, 2642, 22016, 5289, 31172, 56266, - 14170, 81, 1919, 87, 1026, 80, 2642, 267, 1494, 447, 85, 1813, 3601, 80, 8910, - 76, 1072, 64, 37135, 391, 10776, 1073, 21301, 45228, 85, 16400, 74, 939, 70, - 1100, 96518, 299, 80, 441, 5481, 94908, 18287, 939, 78, 15769, 79, 5308, 14878, - 86, 8318, 23913, 398, 327, 5641, 501, 318, 28679, 17851, 2034, 5531, 564, 40078, - 49755, 28679, 71, 1551, 87, 35478, 9902, 302, 21206, 5010, 75, 8658, 20824, - 76, 8671, 332, 15720, 418, 7047, 79, 1273, 3972, 9700, 67702, 983, 7387, 86, - 89, 81, 73, 36722, 73, 47689, 70, 713, 276, 81, 2465, 20990, 45015, 831, 2303, - 764, 267, 511, 31695, 21888, 316, 11949, 494, 87, 25105, 82969, 4223, 352, 65, - 2880, 9902, 87, 20824, 5308, 796, 96518, 10333, 71, 398, 86, 4355, 3524, 50798, - 23913, 89, 699, 2329, 47342, 10196, 266, 67, 402, 40078, 2249, 34946, 17043, - 80, 372, 66, 634, 7501, 41796, 87, 74, 64003, 53835, 70, 784, 49993, 3415, 327, - 77, 10036, 441, 67665, 81, 273, 501, 86, 13536, 86, 4168, 14170, 45015, 24244, - 2319, 21659, 1310, 88, 80, 4239, 70, 1331, 291, 89, 67039, 73, 51924, 14878, - 2784, 42528, 7141, 76, 16017, 71, 12328, 81, 21486, 79, 1031, 392, 4484, 588, - 58305, 901, 365, 329, 2249, 657, 1804, 447, 45015, 23866, 1729, 67, 4991, 1498, - 13536, 3978, 2005, 1336, 339, 85, 43210, 98714, 343, 92791, 74, 677, 76, 15618, - 876, 8462, 911, 14029, 9907, 70, 346, 3524, 89, 59064, 822, 40078, 2392, 25457, - 402, 9700, 81, 2554, 14966, 86, 16400, 89, 11328, 69, 4171, 79, 22537, 8480, - 18571, 44508, 5192, 710, 12812, 830, 501, 17704, 86, 12498, 2365, 19747, 1031, - 77, 38844, 80, 4080, 88, 8783, 2319, 1310, 70, 73, 57071, 1551, 94375, 89, 28990, - 89, 4175, 9081, 1056, 23866, 10784, 5192, 87, 4922, 64, 1658, 27093, 2034, 52877, - 27515, 4086, 81, 40617, 83079, 45015, 70, 80, 19239, 8088, 4942, 2933, 9832, - 359, 76, 19383, 9832, 86, 5192, 817, 73640, 45015, 38977, 324, 6713, 71, 1302, - 677, 35989, 9832, 266, 92110, 14736, 14029, 8892, 73, 87, 71, 94908, 406, 49463, - 33721, 300, 70, 52097, 302, 12841, 2249, 8088, 85, 10470, 40078, 71, 2642, 74, - 67039, 13997, 648, 39911, 19555, 26738, 84, 580, 18854, 80, 82999, 333, 93000, - 2661, 540, 85, 6151, 677, 5746, 19456, 73, 85, 4193, 14606, 75, 303, 94468, - 85, 2676, 544, 81, 4922, 4239, 79, 450, 1029, 14694, 1273, 1494, 1072, 11823, - 91311, 80, 4942, 675, 675, 10462, 29229, 18854, 65019, 85, 78498, 509, 383, - 336, 41796, 20990, 373, 12825, 80, 1273, 76, 581, 267, 80, 47689, 5254, 87, - 14485, 53060, 9700, 352, 94817, 1658, 710, 96518, 764, 80, 82999, 88, 321, 1065, - 1072, 14029, 38844, 7521, 69, 50798, 16373, 73, 70, 9996, 77, 3368, 307, 5972, - 351, 1003, 88, 936, 351, 372, 391, 34175, 303, 1273, 398, 75, 447, 21963, 63643, - 5683, 4355, 1662, 23576, 93000, 34175, 89, 8510, 332, 74, 8462, 77, 351, 87, - 1609, 87, 86, 1725, 65, 511, 8207, 7387, 509, 73, 31695, 85, 1031, 80, 93797, - 89, 9832, 73, 26929, 13028, 23866, 25658, 87, 72231, 1073, 75, 13045, 579, 5308, - 71, 73873, 22119, 77, 752, 78, 762, 68054, 365, 683, 27780, 31019, 1336, 67, - 2332, 2739, 86, 859, 14878, 2076, 710, 9701, 5981, 2465, 87, 365, 9258, 277, - 58152, 321, 404, 51622, 300, 14029, 40078, 5289, 1302, 69, 73, 7141, 41796, - 1468, 7141, 677, 87, 2192, 318, 94023, 66, 664, 80, 604, 18854, 10630, 3716, - 455, 540, 36851, 88, 1073, 65, 4239, 15809, 26804, 764, 1394, 4991, 80, 88, - 73, 7864, 385, 82999, 268, 18287, 60933, 86, 1138, 67, 3746, 21297, 74, 456, - 4835, 820, 19555, 80, 2203, 22016, 6733, 62355, 76, 1216, 5972, 11305, 675, - 41796, 4239, 911, 332, 9832, 88, 347, 10497, 71, 4171, 1897, 2067, 49755, 20127, - 33863, 17528, 1286, 21659, 3423, 9117, 1073, 14878, 81, 1320, 64, 1540, 1030, - 327, 7513, 7387, 69, 89, 4378, 29684, 4937, 23361, 6091, 85, 3315, 31935, 6292, - 1813, 19456, 79, 9117, 796, 26929, 86, 9081, 4341, 68, 1302, 2302, 6194, 48380, - 86, 1568, 1919, 359, 337, 19747, 6200, 375, 65, 15618, 86, 564, 69, 1026, 73, - 87, 8674, 773, 19639, 86, 455, 2739, 1273, 67, 402, 2439, 90625, 2438, 66565, - 363, 579, 318, 47154, 2329, 372, 12825, 76, 1751, 76, 906, 34175, 69, 95233, - 1216, 76, 2302, 1336, 72, 592, 9700, 73873, 441, 68991, 13536, 66565, 4575, - 406, 89, 588, 80, 1073, 77, 3919, 93000, 5104, 1609, 3906, 87, 14694, 817, 33686, - 7513, 325, 25105, 8311, 87, 25457, 5104, 73, 89, 53060, 894, 70, 16276, 604, - 21659, 710, 2445, 69, 41460, 7910, 5104, 28679, 266, 38041, 6375, 26929, 71, - 14029, 45015, 71, 50813, 773, 87, 321, 85, 89, 275, 54964, 73, 38361, 344, 6043, - 4843, 939, 73, 16400, 1320, 23960, 73, 52926, 19654, 3251, 73, 9117, 25105, - 80, 76166, 637, 76, 38359, 398, 21659, 55282, 81, 18565, 1631, 73, 354, 1302, - 14606, 876, 44508, 9112, 74, 80, 73, 87, 80, 392, 31695, 291, 2067, 66, 8462, - 17134, 84, 5308, 1031, 79, 540, 316, 831, 80, 38361, 29238, 3145, 73873, 31695, - 581, 8747, 316, 339, 89, 784, 1100, 74, 75406, 1662, 81, 377, 81, 2174, 69, - 647, 7453, 73, 85, 27455, 80, 385, 89, 398, 1142, 75, 2554, 3418, 98667, 53289, - 73, 22619, 74, 8311, 1273, 54681, 1302, 2054, 10743, 74, 87, 70, 8998, 1394, - 28679, 57208, 20990, 983, 69, 3315, 53478, 266, 66, 86427, 80, 332, 77, 24752, - 65, 32345, 4151, 332, 87, 3306, 4681, 50798, 7501, 80, 13423, 28990, 74, 637, - 73873, 365, 86, 2249, 89, 85, 412, 86, 1072, 84, 3524, 27455, 4511, 10910, 21796, - 80, 33721, 588, 40429, 3576, 309, 74, 5289, 48872, 1494, 78498, 55506, 87, 35531, - 5972, 46341, 12825, 21620, 6511, 80, 38306, 17378, 354, 80, 69, 73, 85, 8587, - 80, 406, 747, 337, 51924, 85, 3423, 7047, 89, 27515, 1026, 85, 1029, 83, 641, - 77, 5544, 45015, 437, 13652, 764, 447, 351, 1103, 6733, 540, 80, 377, 544, 540, - 74, 70391, 10776, 87, 5308, 939, 87, 339, 3178, 1791, 1551, 80574, 1394, 75, - 12407, 60435, 80, 677, 81, 15720, 50139, 3919, 78, 581, 80, 89, 73, 581, 19072, - 80, 74, 80, 73, 32868, 69, 652, 376, 582, 354, 73, 361, 785, 21963, 87, 321, - 713, 52926, 73, 18854, 83079, 1919, 501, 3251, 92216, 450, 4942, 74, 544, 4285, - 1055, 392, 27515, 1546, 82, 2302, 354, 87, 80, 1910, 86, 10776, 87, 5230, 53835, - 71, 31695, 337, 4912, 1517, 69858, 392, 3906, 71, 2329, 544, 620, 80, 47689, - 5241, 80, 73, 86, 9112, 72, 454, 12825, 77468, 18571, 1273, 66, 71690, 15809, - 344, 6331, 372, 28990, 2933, 88, 7783, 80, 25604, 86, 85, 8671, 1073, 9490, - 1729, 88, 354, 17704, 73, 38041, 1031, 2143, 49712, 73, 634, 76, 36463, 652, - 302, 83, 73, 87, 10616, 15618, 377, 88, 73, 17247, 283, 4484, 1029, 2005, 1910, - 2034, 31268, 668, 73, 48372, 5010, 376, 74, 14878, 81, 26397, 86, 675, 8783, - 2642, 70, 80, 343, 80, 4777, 295, 13584, 86, 5964, 7141, 71, 8458, 2303, 8212, - 94908, 5308, 71, 13423, 85, 89, 3306, 848, 1072, 344, 67665, 2329, 87, 450, - 2868, 1073, 74, 17156, 80, 4223, 89835, 89, 6634, 21046, 73, 14244, 6200, 89, - 14694, 263, 79, 1031, 10776, 65019, 1551, 406, 76, 6358, 8088, 318, 71, 1804, - 8883, 10910, 23001, 24012, 80, 73, 95398, 2034, 3906, 80, 12341, 14606, 87, - 391, 73, 2329, 485, 75406, 24990, 46640, 64087, 754, 822, 80, 70, 376, 269, - 87, 27515, 86, 5308, 50139, 1395, 402, 3013, 86, 1026, 16400, 67702, 1764, 4922, - 19644, 65, 4341, 8587, 89835, 511, 91485, 80, 69, 73, 19456, 73, 8462, 728, - 1094, 31268, 87, 71, 5981, 89, 80, 372, 9700, 26397, 73, 21620, 51622, 1026, - 4223, 87, 4175, 2332, 76, 17912, 69, 10176, 80, 38359, 2727, 34175, 80, 9991, - 6414, 19747, 333, 8255, 352, 418, 677, 60933, 346, 70391, 80, 9112, 351, 89, - 540, 267, 49463, 1551, 2562, 4341, 3893, 501, 73, 1658, 13045, 285, 69, 754, - 80, 5701, 71, 39911, 81, 73, 953, 83214, 8311, 73, 19555, 86, 9112, 392, 40078, - 3251, 52971, 87, 28679, 67, 2438, 80, 285, 7521, 50798, 383, 22119, 604, 80, - 7387, 339, 28927, 41817, 28990, 10516, 1658, 2302, 91650, 26618, 1729, 3013, - 641, 4991, 73, 2312, 12940, 24620, 36068, 51622, 73, 6634, 29224, 372, 88, 11949, - 295, 20211, 17134, 5298, 87, 437, 402, 1347, 939, 63643, 20926, 89, 7141, 80, - 1273, 36825, 8783, 73, 4912, 5972, 85, 33863, 869, 303, 2042, 74, 1072, 455, - 664, 1394, 19072, 8385, 86, 1631, 81, 35063, 73, 1609, 88, 10616, 67, 64087, - 8480, 292, 41196, 31019, 316, 70, 939, 45015, 309, 89, 18577, 2554, 73, 1897, - 41129, 333, 71, 3893, 18442, 24752, 29811, 65, 33863, 3696, 18571, 7129, 80, - 2303, 668, 911, 87, 10056, 95233, 10910, 1320, 18577, 16276, 24752, 5298, 86, - 89, 2042, 16731, 38359, 6870, 80, 20824, 1897, 80, 1347, 39911, 1517, 78498, - 796, 73, 21340, 86, 46224, 278, 1029, 82, 3251, 23866, 67702, 3251, 4659, 30506, - 1394, 398, 754, 80, 70, 1517, 82, 2933, 89, 43441, 5418, 67175, 1729, 28700, - 63848, 316, 273, 9117, 2739, 73, 1029, 72801, 3633, 73, 85, 8671, 316, 17156, - 12328, 12682, 4171, 42294, 5192, 73, 1216, 32204, 87, 70, 399, 21963, 89, 360, - 14736, 16400, 1813, 21206, 74, 427, 1494, 5104, 346, 444, 84, 5241, 23866, 2067, - 79, 10470, 11328, 74, 2465, 70, 73, 87, 2933, 88, 3696, 69, 9081, 17134, 1725, - 8212, 1031, 19866, 77, 3576, 7908, 31803, 773, 43686, 1498, 1658, 17156, 511, - 22619, 86, 7141, 2042, 77, 6194, 85, 6200, 1658, 5469, 2562, 84, 23361, 65, - 5104, 450, 67, 1725, 73, 11089, 67039, 343, 5469, 49755, 25658, 2465, 10470, - 73, 4838, 23866, 74, 66867, 911, 4341, 1658, 27106, 352, 41796, 91998, 16514, - 1031, 65, 8536, 80, 969, 869, 38181, 12116, 87, 73, 1919, 359, 85, 5308, 75, - 29700, 70, 80, 2026, 2302, 69, 10784, 89, 1725, 86, 4991, 79, 27515, 71, 7369, - 69, 418, 62585, 65, 376, 77, 10910, 266, 8385, 575, 29700, 1517, 566, 11748, - 85, 42818, 4484, 2580, 69, 1494, 8671, 65019, 9258, 316, 1791, 9081, 575, 87, - 1026, 81, 620, 589, 80, 332, 7387, 24672, 73, 38361, 89, 70, 876, 89, 4239, - 21888, 83448, 45775, 85, 455, 5241, 67, 796, 42908, 64123, 76, 1073, 79, 564, - 18894, 2067, 1725, 65, 80, 24244, 375, 45015, 1331, 953, 13009, 89, 32962, 7501, - 70678, 2329, 77, 39911, 73, 21807, 31881, 648, 57932, 70, 292, 77, 80, 2438, - 29238, 10616, 22524, 285, 26397, 74, 80, 1302, 911, 1195, 86, 89, 4239, 79, - 2319, 89, 2303, 37406, 27476, 73, 13536, 80, 2176, 1944, 441, 31141, 69, 1336, - 15802, 73822, 21888, 1962, 91299, 32204, 376, 53060, 447, 5298, 85, 634, 359, - 752, 7521, 3919, 87, 1910, 2445, 49450, 73, 27093, 7737, 2689, 8088, 22016, - 86, 336, 16094, 73, 728, 18244, 87, 10056, 18287, 1302, 69, 587, 81, 73, 13075, - 67665, 3427, 675, 80723, 80, 52926, 73, 1897, 20990, 301, 70, 3906, 80, 3696, - 73, 566, 587, 8892, 80, 427, 29443, 70118, 69, 73, 87, 85, 637, 77, 3601, 37406, - 86, 9188, 2933, 80, 73, 398, 1919, 65, 8587, 316, 3423, 85, 20191, 6194, 346, - 1100, 12821, 450, 77, 455, 82969, 75406, 4080, 32280, 43776, 49755, 2580, 76, - 299, 23770, 5701, 5241, 65, 1031, 85, 6511, 675, 24672, 77, 80, 1662, 8587, - 1065, 4223, 566, 1030, 80, 2026, 82, 713, 24752, 455, 46246, 540, 365, 93797, - 41101, 17043, 460, 71, 91849, 4991, 327, 73, 87, 1336, 2727, 10616, 18244, 31019, - 316, 402, 42818, 7129, 587, 89, 31764, 7513, 3306, 21206, 383, 73, 85, 501, - 80, 69, 3251, 1546, 51924, 80, 1100, 2042, 46051, 86, 49595, 89, 299, 321, 38639, - 24752, 66, 1729, 939, 1302, 402, 76, 9490, 60933, 4843, 67, 447, 84, 455, 31268, - 22016, 80, 269, 97523, 455, 491, 77, 31881, 3368, 9701, 915, 65, 939, 8050, - 67, 3368, 81, 2727, 41129, 309, 944, 76, 876, 2026, 83, 33863, 2857, 2933, 71, - 2852, 2005, 4168, 73, 87, 86, 34855, 18854, 427, 75, 1662, 41625, 1897, 3035, - 43505, 3696, 70828, 73, 3415, 587, 77, 46390, 455, 50139, 23361, 70, 2034, 3180, - 309, 66, 88183, 347, 1791, 1126, 4341, 73, 18442, 85, 89, 5192, 1336, 50226, - 35531, 2465, 75, 5192, 372, 21963, 2642, 3251, 6870, 1551, 7501, 94055, 11328, - 1897, 434, 69, 89, 73, 1551, 80, 936, 73, 346, 1065, 73, 89, 1100, 2642, 3675, - 73, 1395, 352, 73, 4341, 45775, 347, 76, 728, 80, 906, 2319, 88, 327, 1764, - 351, 1055, 283, 88, 89835, 2026, 85, 89, 59125, 876, 76, 12940, 6780, 53146, - 71, 360, 65, 41670, 53289, 1751, 858, 15444, 339, 710, 87, 437, 89, 73, 11253, - 2329, 76, 15809, 327, 80, 2026, 764, 2312, 4991, 18244, 4317, 581, 77, 1331, - 65, 8910, 92216, 59448, 86, 3035, 73, 2857, 77, 3178, 664, 87, 46341, 70678, - 3647, 85, 42908, 11032, 587, 79, 346, 1411, 6511, 67702, 4341, 80, 78, 336, - 38361, 70678, 80, 7521, 80, 50139, 89, 27093, 604, 28990, 49461, 69, 3696, 69, - 3059, 1609, 44528, 12407, 9700, 87, 953, 7947, 87, 8510, 6511, 73, 70404, 65, - 2580, 80, 4086, 16115, 23866, 80, 1302, 29200, 73, 752, 87, 327, 86, 509, 86, - 3933, 321, 89, 454, 2465, 2249, 4680, 86, 1320, 31764, 31695, 73, 14736, 7783, - 87, 29684, 2562, 80, 70, 80, 10616, 7737, 377, 566, 329, 19285, 3906, 41922, - 1498, 35531, 89, 16017, 6634, 4511, 2465, 19239, 82969, 8839, 77, 564, 69, 1031, - 267, 73640, 87, 28679, 24990, 983, 1065, 7369, 89, 80, 344, 8462, 84, 648, 65, - 3415, 285, 44490, 75406, 7488, 14736, 67, 337, 16276, 718, 29684, 89, 3316, - 73, 4010, 36068, 4341, 25299, 708, 71, 4937, 69, 73, 22619, 2465, 876, 8587, - 74, 49755, 80, 1725, 86, 7501, 1026, 80, 4341, 85, 1029, 6885, 266, 1551, 564, - 87, 8510, 80, 8207, 2034, 2706, 50039, 41922, 80, 12591, 321, 63643, 85, 540, - 86, 89, 598, 79, 5697, 762, 23866, 89, 355, 14029, 19456, 17063, 20372, 764, - 31764, 73873, 27495, 648, 575, 81, 28927, 74, 2641, 8207, 89, 73, 56871, 1546, - 392, 67, 5981, 80, 5298, 4239, 35531, 89, 81, 360, 86, 7911, 511, 8998, 44183, - 266, 32204, 52719, 418, 86, 1725, 87, 39385, 73, 376, 9117, 347, 79, 1813, 869, - 74, 939, 87, 9779, 657, 5308, 82, 1609, 80, 15720, 73, 3415, 1065, 20811, 906, - 74, 87, 797, 69, 32589, 1302, 42051, 333, 27455, 1336, 13351, 73, 36825, 343, - 6780, 80, 292, 31019, 267, 3601, 5289, 1631, 566, 87, 35401, 796, 70, 8910, - 15809, 50798, 1517, 41796, 3178, 81, 8671, 5010, 2344, 86, 455, 30863, 318, - 3059, 11823, 73, 8376, 62220, 94908, 26738, 86, 4835, 1517, 87, 53016, 17063, - 85, 6200, 5981, 77, 14468, 1725, 10056, 8050, 94346, 2329, 73, 4175, 79, 24752, - 87, 5981, 2201, 447, 2642, 86, 9218, 20582, 77, 10776, 50139, 5346, 79, 361, - 1146, 1247, 29238, 1065, 26929, 97523, 89, 7369, 21620, 754, 68, 283, 50798, - 4744, 86, 346, 31422, 88, 352, 26474, 359, 16276, 71, 1302, 648, 1216, 89, 13752, - 604, 79, 911, 87, 84, 2826, 12825, 351, 876, 29443, 74, 6870, 80, 82969, 2154, - 65, 3696, 587, 40213, 12328, 588, 10784, 85, 2411, 9907, 6358, 85, 19747, 332, - 773, 80, 20553, 587, 76, 370, 547, 547, 4021, 79, 11032, 1725, 291, 77, 32204, - 54964, 370, 73370, 39911, 2438, 15618, 44183, 4223, 87, 2249, 7453, 89, 953, - 1347, 17704, 70, 7141, 88, 31278, 604, 67, 86682, 5721, 637, 27093, 50536, 911, - 12328, 86746, 9810, 73, 88, 69, 894, 7737, 53016, 73, 51622, 40375, 66353, 710, - 71, 4719, 1100, 24672, 32962, 21206, 61057, 764, 73, 50536, 2067, 5683, 47617, - 18244, 71, 4080, 1029, 17319, 1494, 16618, 17156, 80, 333, 363, 56871, 12328, - 75, 12591, 19239, 77, 19639, 89835, 5308, 5532, 73873, 31019, 361, 70, 32589, - 375, 5481, 344, 27515, 71, 5794, 47875, 385, 25299, 68151, 566, 14046, 44183, - 39911, 79, 391, 35478, 1347, 73, 3315, 21963, 74882, 89, 677, 1320, 351, 86, - 41796, 89, 63502, 87, 94908, 983, 51622, 17008, 8088, 5981, 77, 2034, 75, 1030, - 2701, 303, 70, 911, 17134, 89, 53835, 77, 1643, 64, 352, 83, 80, 74, 69057, - 9991, 16400, 31764, 73, 22619, 6331, 80, 22016, 87, 906, 604, 26397, 3368, 68, - 427, 3919, 73, 20824, 5192, 392, 80723, 88, 14736, 26474, 86, 85, 8212, 20191, - 80, 318, 5701, 39911, 8910, 18664, 86, 708, 71, 5104, 953, 80, 18442, 347, 11089, - 4341, 365, 6489, 80, 88, 9907, 2396, 70, 6358, 6331, 3172, 406, 4469, 3251, - 5010, 57504, 65, 80, 1320, 76, 1310, 37541, 953, 71, 7369, 278, 7488, 45015, - 798, 318, 15930, 29700, 57671, 343, 32962, 89, 23361, 45062, 391, 12940, 96295, - 35203, 85, 1804, 23001, 50536, 2332, 65, 35401, 6200, 71, 652, 13752, 4010, - 5701, 85, 80, 8207, 89, 4239, 89, 48380, 648, 28679, 6194, 43210, 29684, 2562, - 74, 89, 7369, 4080, 41922, 80, 418, 70, 375, 65, 402, 76, 1007, 454, 74, 1065, - 81, 2005, 71, 11823, 588, 80, 833, 24672, 331, 85, 1331, 9832, 81, 566, 652, - 80, 5981, 1273, 71, 447, 4341, 70, 1494, 267, 83, 73, 32547, 710, 4912, 8512, - 24620, 89, 9700, 6200, 302, 258, 18577, 14833, 501, 73, 1347, 18577, 1517, 17008, - 587, 1336, 6194, 13545, 69, 332, 406, 89, 540, 911, 20824, 998, 2933, 30403, - 68003, 62497, 797, 98418, 70014, 15618, 74, 14029, 89, 7521, 65, 7488, 5192, - 85, 1072, 30863, 5469, 1146, 391, 454, 85, 2629, 80, 2176, 89, 27278, 509, 88, - 30506, 84, 1739, 87, 788, 1517, 77, 2438, 4239, 9451, 648, 830, 86, 346, 587, - 89, 332, 6438, 93000, 26397, 32589, 3516, 31695, 363, 85, 12328, 74, 3315, 337, - 1609, 327, 876, 352, 613, 8826, 2642, 1739, 66, 44970, 73, 85, 22619, 85, 1331, - 76, 634, 29700, 1031, 3576, 88, 6043, 80, 395, 5469, 69, 347, 87, 710, 80, 74, - 70391, 467, 5241, 370, 637, 69, 339, 3524, 44490, 73, 441, 36107, 4484, 73, - 70, 2642, 82999, 87, 6885, 1609, 17319, 86, 32478, 80, 64087, 7513, 4168, 9701, - 351, 6375, 86, 21206, 5469, 355, 1031, 67, 4171, 7737, 4080, 9701, 1394, 2642, - 2034, 8536, 324, 87, 32589, 42888, 15809, 351, 30506, 13136, 62327, 73, 983, - 2042, 52097, 20898, 16618, 59524, 796, 376, 9996, 3013, 38984, 4171, 87, 86, - 9991, 85, 89, 2249, 1286, 22119, 540, 2465, 14088, 20127, 89, 7369, 6511, 80, - 42818, 28990, 65, 80, 566, 18571, 85, 588, 39911, 2005, 372, 97523, 38844, 20926, - 80, 18894, 64087, 14736, 1494, 86, 1494, 7521, 65, 5104, 73, 70, 27093, 84, - 564, 20926, 74, 6194, 385, 80, 3919, 764, 87, 80, 491, 53060, 830, 822, 45015, - 89, 3306, 290, 37406, 675, 84, 7488, 71, 1331, 30407, 1310, 1026, 1026, 5469, - 894, 3933, 88, 634, 87, 14736, 31881, 89, 73005, 363, 67, 4223, 3316, 75, 8510, - 80, 18287, 911, 70, 582, 3178, 80897, 3418, 87, 2329, 86, 31019, 17008, 2026, - 74, 14170, 3893, 86, 355, 11377, 4010, 5964, 74, 80, 89, 359, 1804, 44490, 73, - 11949, 26205, 343, 89, 25299, 4086, 38041, 1725, 86, 377, 86, 332, 939, 339, - 36068, 67039, 333, 2862, 6370, 13536, 3524, 263, 456, 18854, 65116, 74, 354, - 4080, 33721, 86, 1764, 359, 6194, 269, 450, 66, 3055, 6672, 73, 3368, 18499, - 85, 2857, 69, 73, 10630, 85, 564, 85, 1729, 5972, 80, 6634, 87183, 5308, 65, - 19747, 74, 1394, 77, 2933, 23361, 953, 2933, 85, 17008, 300, 73, 354, 8207, - 52360, 2303, 604, 10470, 73078, 1639, 17063, 89, 652, 18287, 391, 66, 564, 45015, - 86746, 5469, 8503, 87, 8050, 70, 77827, 45015, 5469, 53289, 4922, 69, 4010, - 404, 1729, 447, 675, 333, 13536, 292, 86459, 337, 1336, 89, 8480, 6511, 94908, - 2249, 540, 876, 73, 784, 754, 1662, 69, 7488, 44970, 9197, 278, 1273, 73, 1910, - 363, 9902, 95780, 14606, 80, 754, 69, 729, 7141, 5192, 21888, 283, 1289, 1662, - 805, 66, 634, 6780, 352, 79, 1609, 69, 1498, 31019, 375, 4381, 89835, 12825, - 73, 4744, 78930, 318, 13423, 24990, 370, 19639, 73, 55233, 1394, 3427, 41796, - 69, 7387, 70, 52513, 2319, 87, 2445, 86, 347, 31695, 60013, 652, 3933, 80, 8892, - 5289, 21807, 657, 54532, 81, 20553, 28679, 9991, 86, 8318, 2005, 82999, 604, - 49712, 3368, 406, 7521, 16017, 728, 1331, 581, 7513, 73, 18894, 87, 75406, 80, - 89, 85, 2642, 5746, 7141, 88, 44490, 339, 1494, 27515, 23361, 14773, 31881, - 10916, 32962, 295, 9832, 89, 1517, 73, 85, 80, 25604, 21796, 321, 81, 8671, - 894, 23361, 43505, 71, 73, 953, 41196, 2445, 318, 16618, 11805, 20127, 35940, - 372, 80, 2303, 85, 2445, 77, 45015, 71, 2438, 80, 51622, 344, 87, 4223, 86, - 16417, 34263, 80, 32204, 73, 88, 347, 48372, 3893, 39152, 399, 96518, 1072, - 299, 3576, 69, 98347, 6100, 22016, 15618, 16915, 8462, 73873, 17134, 77, 406, - 86, 96250, 344, 65, 764, 89, 21206, 7044, 78, 1662, 1727, 80, 30506, 43319, - 830, 2365, 3919, 29238, 73, 7783, 88, 1551, 69, 1146, 383, 641, 3172, 87, 278, - 5104, 258, 81, 73, 333, 6043, 73, 1631, 35531, 3315, 392, 9902, 80, 73, 27515, - 9081, 3919, 316, 581, 2203, 74, 398, 370, 17063, 42050, 2580, 73, 5298, 652, - 87, 71, 52097, 2465, 8890, 86, 4223, 8212, 97816, 1498, 346, 70, 73, 2580, 18854, - 78604, 1310, 84, 1512, 25457, 89, 1026, 8462, 2329, 88, 2396, 68, 1263, 75, - 3933, 75092, 8587, 3826, 80, 437, 4680, 81, 3933, 3988, 936, 10644, 70, 564, - 36722, 572, 8910, 710, 12214, 31019, 87, 3655, 796, 65, 80, 73, 70, 73, 267, - 344, 80, 3893, 327, 70, 31764, 1910, 36851, 2249, 604, 4991, 544, 70, 5298, - 90173, 953, 9991, 88, 60933, 2067, 5972, 42908, 604, 87, 10776, 21659, 9334, - 22619, 1394, 31268, 1310, 55895, 3576, 4991, 14122, 72, 801, 4239, 427, 50798, - 796, 40078, 74, 2580, 88, 1910, 74, 343, 354, 80, 444, 16373, 89, 73, 11328, - 28927, 73, 67910, 5230, 76, 10910, 22524, 44490, 99692, 3159, 14088, 5241, 80, - 1100, 7737, 74901, 4942, 11851, 10470, 7737, 2203, 86, 85, 80, 73, 87, 80, 418, - 85, 4922, 77, 10784, 818, 295, 35531, 89, 9700, 352, 87, 86, 292, 49755, 3601, - 29238, 652, 604, 36851, 4680, 78, 343, 36825, 36068, 80, 1336, 1729, 83, 58631, - 1302, 80, 295, 80, 73, 344, 69, 22016, 86, 657, 3368, 85, 25299, 53470, 454, - 8910, 80, 402, 10776, 79, 1662, 2203, 3919, 65, 5972, 35531, 789, 48380, 16915, - 69, 2329, 2329, 73, 2629, 12825, 713, 1030, 70391, 3646, 2470, 32547, 21878, - 5697, 80, 89, 22524, 370, 12498, 953, 67, 1302, 3059, 953, 1029, 6455, 2580, - 73, 2312, 21888, 80, 1320, 1517, 81, 713, 73, 8998, 8998, 22580, 89, 64145, - 73, 418, 24752, 318, 83, 27455, 80, 70, 266, 77, 80, 3172, 3458, 797, 9810, - 87, 2201, 2176, 2249, 1347, 87, 3251, 89, 6634, 71, 3423, 89, 80, 652, 95589, - 9490, 332, 10470, 8480, 21796, 46640, 9902, 35278, 12116, 67, 5972, 76, 4625, - 73, 63643, 1631, 509, 73, 36068, 41287, 2850, 20850, 581, 2203, 4777, 372, 80546, - 19456, 544, 81, 544, 7488, 77, 773, 76, 44906, 352, 5192, 89, 31019, 9117, 894, - 32589, 2347, 65, 1130, 58153, 370, 31268, 65, 418, 89, 16276, 1029, 68054, 2701, - 69, 295, 85, 28990, 80, 65019, 365, 28679, 76, 7387, 85, 1739, 46483, 72, 414, - 39911, 24990, 2826, 797, 4484, 60933, 86, 2042, 818, 392, 564, 73873, 48642, - 3919, 31881, 29238, 352, 24672, 77, 3906, 4922, 65, 24752, 5972, 3418, 637, - 35531, 42818, 4777, 327, 43505, 454, 70, 1804, 9996, 50798, 15720, 911, 1658, - 70, 1302, 307, 3520, 876, 437, 5964, 86, 3696, 51924, 31695, 652, 13856, 300, - 4168, 73, 2438, 80, 1494, 73, 89, 73, 462, 85407, 7369, 21206, 75, 11823, 437, - 19555, 17063, 74, 2635, 31695, 74, 9832, 67, 321, 73, 818, 6043, 16944, 84001, - 73, 5241, 49463, 89, 24738, 10630, 3601, 385, 28927, 80, 2933, 25105, 73, 939, - 13752, 73, 86, 4484, 1804, 10470, 5683, 15479, 70391, 55334, 80, 69, 3858, 67, - 427, 344, 309, 26397, 68054, 9092, 80, 56871, 20926, 93797, 70, 73, 87, 1149, - 3172, 447, 14088, 2319, 69, 8510, 73640, 43505, 404, 3576, 38149, 509, 564, - 325, 21796, 68054, 4223, 303, 15930, 385, 89, 42908, 1609, 65, 27093, 10616, - 17156, 12825, 2642, 32589, 333, 363, 15720, 89, 80, 321, 85, 267, 89, 22580, - 1517, 635, 1791, 52971, 7453, 19275, 483, 307, 1302, 64, 940, 74, 1201, 70, - 754, 83079, 1919, 9700, 71, 2580, 302, 77, 3893, 4168, 32204, 74, 18442, 73, - 6511, 418, 10188, 906, 2249, 69, 28679, 52926, 7488, 80, 18571, 89, 14694, 66, - 6194, 7387, 86746, 4922, 83, 6410, 49755, 32893, 73, 3433, 64, 2176, 71, 34175, - 85, 998, 80, 3647, 89, 85, 9832, 80, 261, 80, 38361, 4680, 2701, 86611, 1056, - 72, 9490, 80, 3601, 89, 7513, 355, 383, 10616, 11032, 87, 1065, 76, 89649, 67800, - 1247, 74, 87, 20211, 8619, 20811, 86, 830, 65, 81913, 80, 26397, 74, 7737, 333, - 8088, 13028, 24037, 77827, 63502, 21486, 581, 5981, 3423, 55233, 321, 63643, - 85, 89, 3601, 86, 89, 1216, 86, 5981, 33863, 2249, 5308, 23707, 5544, 38977, - 723, 7141, 40924, 21206, 38844, 9110, 85, 581, 18854, 72455, 344, 9996, 72245, - 2249, 87, 49463, 3524, 87, 3696, 80, 911, 2562, 83, 40016, 80, 7513, 1498, 87, - 4937, 73, 70, 73, 10776, 4922, 1498, 23866, 50536, 20218, 587, 18287, 85, 302, - 3322, 14694, 10033, 24468, 648, 65, 21620, 4341, 2312, 327, 73, 18894, 8910, - 74, 7737, 3251, 831, 73, 85, 1739, 2933, 85, 2302, 664, 86, 89, 85, 406, 85, - 339, 74, 9451, 76, 10776, 87, 80, 31695, 316, 10616, 81, 16400, 548, 69, 351, - 72863, 31695, 80, 376, 17008, 2910, 587, 5893, 648, 269, 12828, 56871, 39911, - 7387, 17553, 5289, 39911, 4341, 2249, 6489, 728, 4835, 74, 37955, 86, 536, 564, - 45015, 65, 4086, 73, 10630, 325, 331, 301, 983, 74, 383, 71, 385, 2203, 77, - 876, 911, 5972, 89, 13752, 24990, 70678, 708, 70494, 89, 4835, 42818, 5683, - 73, 89, 652, 303, 4937, 86, 12825, 47689, 953, 88, 80, 64087, 4168, 25105, 89, - 70, 652, 74, 728, 359, 61345, 5683, 74, 3545, 2026, 79936, 11513, 28546, 831, - 1073, 20990, 85, 1394, 76, 21659, 372, 38844, 6200, 27093, 13855, 8998, 2203, - 89, 451, 953, 13423, 45015, 23760, 58153, 911, 82, 98347, 7387, 73, 52926, 9907, - 73, 88, 6703, 575, 4680, 88, 3841, 713, 437, 73, 59524, 1609, 43505, 6358, 93797, - 1073, 276, 12940, 31764, 7513, 18571, 16276, 53191, 915, 88, 41129, 818, 343, - 1910, 31268, 3601, 73, 1739, 80, 370, 303, 38181, 69, 447, 74, 1072, 575, 4484, - 8311, 1026, 88, 5308, 675, 86, 28990, 641, 92216, 88, 80, 70, 25457, 73, 70, - 5972, 9786, 80, 88, 509, 9991, 89, 5298, 450, 74, 1919, 372, 9092, 566, 939, - 77, 10176, 52926, 80, 69, 34750, 398, 65, 80, 21963, 302, 67, 6723, 569, 86, - 80897, 86, 12328, 73, 88, 80, 88, 85, 4937, 75, 375, 65116, 86, 316, 27780, - 71, 73, 70, 73, 88, 7737, 307, 377, 14088, 53060, 9810, 87, 74, 50039, 36851, - 86, 869, 42848, 23866, 77, 80, 337, 32962, 69, 6194, 17063, 67702, 329, 5964, - 911, 86746, 74, 5964, 40637, 80, 1347, 501, 47154, 331, 85, 14029, 8088, 85, - 3852, 634, 560, 39851, 1662, 14878, 40078, 764, 63913, 10784, 65, 7783, 404, - 2034, 35478, 391, 44508, 3696, 86, 3059, 85, 31695, 2067, 55911, 18244, 35531, - 80, 295, 3906, 7453, 269, 10910, 86, 16400, 38844, 869, 23361, 10056, 92216, - 18244, 2411, 544, 2857, 93797, 86, 316, 86, 383, 18287, 1026, 822, 32204, 87, - 818, 80, 7387, 575, 8892, 81, 5697, 1759, 65, 7737, 66, 3251, 12498, 437, 73, - 2302, 303, 88, 32478, 86, 80, 47689, 10056, 7521, 69, 344, 96518, 509, 796, - 87, 73, 89, 70, 73, 70, 19239, 344, 53289, 4657, 80, 634, 77, 6802, 582, 67139, - 728, 89, 59367, 3893, 27455, 70678, 501, 14606, 80, 15618, 360, 8088, 18442, - 455, 21888, 58305, 347, 89, 347, 74, 7047, 72, 292, 906, 78, 581, 14088, 360, - 375, 73, 27476, 20127, 764, 71, 28679, 936, 80, 89, 36825, 80, 88, 1729, 983, - 1065, 37406, 97523, 4680, 1897, 1347, 87, 89835, 31881, 70, 355, 55233, 22650, - 7349, 9081, 267, 18854, 40952, 337, 14736, 5964, 74, 60933, 375, 40924, 10616, - 70, 3841, 337, 73, 85, 33367, 31764, 677, 80, 44183, 372, 71, 22873, 637, 88, - 80, 7488, 66, 2249, 70, 509, 94055, 19639, 81, 713, 21486, 85, 4777, 93797, - 1273, 18287, 80, 73, 2438, 38359, 3858, 9991, 9081, 89687, 85, 20824, 87, 41622, - 22016, 392, 797, 17008, 18571, 27515, 73, 82553, 86, 621, 19260, 1146, 89, 29684, - 324, 71, 48233, 80, 2067, 28546, 8998, 68467, 540, 6358, 73, 86, 2067, 87, 14878, - 784, 1791, 11032, 56871, 318, 1551, 4991, 63345, 796, 26397, 1100, 77, 324, - 89, 4922, 76, 754, 80, 12591, 533, 2026, 84, 1498, 1804, 73, 86, 418, 654, 74, - 8212, 675, 6200, 1320, 73, 392, 3251, 6375, 1756, 88, 351, 67, 22650, 73, 454, - 69, 634, 87, 6511, 34175, 80, 3172, 9112, 85, 15464, 799, 68, 21963, 38359, - 23797, 74, 6489, 70678, 19456, 71, 42818, 89, 553, 22119, 66867, 5469, 1764, - 31697, 953, 75, 462, 25105, 488, 65, 27322, 73, 67702, 25299, 80, 4010, 92216, - 4010, 74, 1910, 9907, 3172, 42528, 352, 302, 273, 75, 302, 68, 2113, 39911, - 76, 1625, 17851, 80, 4625, 32752, 784, 80, 637, 88, 1336, 6091, 40078, 80, 52926, - 25457, 418, 70, 4777, 92562, 11328, 11949, 46390, 10056, 74, 380, 73, 89, 641, - 87, 71, 728, 266, 5972, 1302, 70, 19747, 67, 796, 327, 70, 1100, 4748, 266, - 34175, 450, 361, 85, 8480, 32204, 69, 604, 1791, 447, 544, 85, 267, 437, 52971, - 876, 76, 12821, 647, 80, 61828, 2580, 894, 87, 40078, 8480, 325, 14736, 63502, - 46640, 544, 1331, 3172, 85260, 894, 69, 1302, 89, 728, 86, 85, 1073, 377, 8671, - 19456, 80, 784, 87, 84, 77827, 713, 94869, 8998, 11949, 1729, 637, 21620, 84712, - 66, 7387, 6043, 84, 329, 89, 309, 2201, 1498, 55233, 2332, 5192, 89, 38977, - 566, 27515, 80, 69, 677, 25105, 762, 73, 70, 74, 677, 1247, 71, 25457, 80, 78, - 300, 1725, 45228, 85, 6511, 74, 637, 45015, 2465, 983, 64087, 1302, 713, 11377, - 40924, 89, 46341, 983, 85, 41129, 1791, 7141, 41796, 969, 14898, 73, 10056, - 86, 511, 14736, 70678, 4086, 604, 71, 302, 78, 1662, 65, 5010, 79, 540, 2465, - 7910, 333, 87, 4010, 86, 5683, 85, 406, 876, 20990, 11328, 73, 637, 81, 418, - 295, 295, 86, 45015, 28774, 8892, 80, 9700, 53835, 25457, 13423, 42908, 77576, - 797, 85, 657, 9701, 96819, 2438, 70, 59194, 73, 441, 52971, 17134, 86, 40153, - 1494, 10056, 87, 73, 4937, 86, 375, 1804, 75, 90377, 73, 57504, 1791, 1897, - 23866, 273, 3036, 292, 402, 21963, 983, 38977, 295, 4080, 80, 29224, 89, 752, - 74, 80, 830, 8783, 2933, 45015, 7369, 77827, 1395, 73, 1394, 1394, 67, 5010, - 77, 10910, 2933, 15618, 19456, 32962, 85, 5972, 88, 40078, 8890, 80, 12654, - 12498, 80, 3306, 258, 71027, 13066, 85, 50798, 80, 939, 2302, 22374, 19239, - 1302, 87, 73, 3418, 4010, 89, 501, 92180, 73, 63643, 321, 93213, 84, 21659, - 303, 81, 73, 2438, 83227, 86, 8998, 65, 458, 1302, 14736, 45015, 20926, 5964, - 32204, 784, 25013, 80, 4239, 81, 747, 21659, 652, 604, 30506, 7387, 710, 9490, - 1494, 89, 1336, 73, 2933, 88, 15278, 2580, 1100, 275, 8658, 70, 74, 1739, 437, - 27752, 87, 73, 41139, 74, 5759, 7369, 3935, 12328, 17270, 354, 85, 14720, 292, - 9117, 31268, 2192, 88, 45854, 376, 764, 6511, 1030, 24470, 51622, 6358, 23866, - 10616, 3919, 70, 5010, 67800, 980, 21888, 581, 77, 4239, 375, 295, 852, 74, - 13183, 80, 11160, 77, 2312, 89, 3423, 65, 3427, 7453, 80, 74, 20176, 8747, 28679, - 80, 1625, 71, 1146, 6539, 78, 648, 79, 1331, 85, 16400, 69, 11949, 80, 11251, - 6043, 797, 652, 11032, 78930, 332, 74, 89, 392, 59524, 85, 267, 80, 3368, 24041, - 83470, 796, 41922, 292, 86, 2668, 82, 9902, 689, 1900, 80546, 19555, 77, 39911, - 81, 9786, 2319, 89, 745, 5701, 78, 336, 9907, 70, 3601, 88, 85, 5298, 80, 9672, - 13846, 70, 329, 49755, 375, 85, 3013, 31881, 11377, 82999, 637, 4341, 398, 88, - 88548, 16400, 11377, 39152, 80, 1631, 45015, 6358, 85, 8998, 58305, 652, 78930, - 69, 73, 830, 70, 74, 3368, 657, 9490, 89, 752, 69, 26235, 86, 652, 3306, 72801, - 73, 2312, 5544, 69, 752, 20211, 392, 50397, 3601, 773, 3368, 43389, 1394, 1910, - 544, 8910, 81, 64087, 331, 85, 23361, 277, 2303, 332, 80, 73640, 2465, 1919, - 67039, 74083, 604, 1791, 13536, 74, 14088, 587, 1195, 269, 1751, 42528, 80, - 35401, 89, 3368, 94908, 728, 85, 89, 46224, 447, 87, 18442, 4341, 78604, 4922, - 12825, 331, 283, 309, 85, 12184, 2303, 14088, 406, 634, 346, 88, 31764, 26397, - 3368, 60013, 713, 70, 1739, 87, 587, 1029, 2933, 78, 42930, 2003, 86, 48380, - 71, 17008, 5683, 24470, 8998, 74, 80, 344, 5010, 93000, 501, 40762, 4922, 66565, - 80, 344, 76, 575, 2042, 76, 1026, 509, 73, 1804, 939, 7047, 5010, 92238, 292, - 73, 354, 84, 70391, 5972, 88, 846, 2465, 37406, 89, 14088, 100120, 14878, 20990, - 564, 31147, 983, 69, 664, 31019, 11823, 3418, 14170, 392, 49595, 7453, 40078, - 8998, 36851, 80, 38359, 20553, 67039, 1662, 14878, 80, 44067, 2423, 316, 80, - 13634, 24672, 66, 1029, 79, 3696, 24990, 80, 300, 17008, 80, 70, 901, 764, 1336, - 76, 20926, 74, 11089, 23361, 14029, 454, 1029, 637, 18571, 85, 9081, 87, 86611, - 509, 953, 80, 36825, 80, 354, 89, 7387, 44490, 4239, 7521, 77, 1910, 9907, 654, - 42050, 1029, 52000, 65, 1791, 73, 301, 70, 581, 88, 73, 1517, 8480, 73, 635, - 346, 20990, 24244, 85, 80, 74, 89, 16276, 93797, 86, 953, 87, 92241, 677, 85, - 36851, 998, 2580, 7488, 87, 44508, 5490, 14029, 85, 26738, 10033, 84, 7387, - 76, 2562, 66565, 728, 75, 30728, 5964, 74, 4239, 78, 292, 80, 88, 80, 4942, - 24672, 19239, 1146, 1394, 75406, 73, 89, 1302, 77, 5104, 9864, 87, 354, 53450, - 80, 73, 1247, 7047, 70, 2034, 77, 70391, 78498, 370, 6634, 20920, 9117, 79, - 10470, 5118, 9490, 392, 63643, 89, 540, 67, 4355, 80, 634, 85, 23361, 92715, - 2580, 85393, 80, 70, 32752, 46640, 2554, 2826, 4171, 4239, 12940, 2034, 88, - 9112, 88, 18126, 1091, 78, 1100, 377, 93797, 13045, 365, 23361, 71, 35035, 32547, - 13092, 85514, 1494, 73, 2727, 85, 14485, 87, 74, 1031, 7717, 80, 10333, 70, - 80, 23001, 74, 398, 87, 1302, 64123, 86, 2034, 5308, 85, 42818, 303, 5923, 88, - 5964, 7387, 13009, 51924, 87, 710, 69057, 325, 24752, 44508, 16510, 4937, 35531, - 9832, 36825, 1336, 339, 69, 66945, 73, 1247, 86746, 89, 5192, 71, 25299, 455, - 77, 455, 3315, 402, 1751, 14606, 819, 9117, 731, 30407, 28679, 2739, 2130, 331, - 4719, 92238, 79, 2249, 1804, 75, 2329, 575, 6043, 84, 327, 75384, 5104, 299, - 5717, 81, 466, 4752, 86, 89, 80, 1302, 652, 65, 4922, 544, 7141, 87, 46790, - 321, 32868, 69, 6511, 88, 911, 466, 75406, 3524, 444, 2933, 71, 29652, 20990, - 69, 7369, 17134, 69, 451, 372, 318, 953, 87, 501, 1302, 1804, 76, 365, 5972, - 2249, 28679, 80, 14088, 1029, 28990, 372, 100111, 6634, 63813, 2329, 2329, 331, - 27520, 80, 347, 8462, 46341, 44490, 575, 5010, 24470, 75, 3415, 3524, 454, 4381, - 566, 713, 4458, 64, 2319, 74, 3919, 86, 1026, 75, 11823, 89, 634, 14088, 69, - 1247, 88, 292, 321, 302, 80, 3988, 6634, 73, 41196, 2191, 88, 69, 7387, 1739, - 74, 27455, 4010, 84, 2249, 76, 2026, 85514, 752, 17008, 86, 329, 4484, 278, - 3172, 25100, 43505, 867, 81, 939, 27515, 64381, 70, 80, 22016, 86, 10776, 89, - 4908, 89, 70, 14092, 830, 25457, 427, 754, 75406, 20218, 1073, 5230, 85, 377, - 74, 4080, 1233, 19639, 12498, 39911, 2629, 12158, 13536, 582, 14170, 884, 85, - 38844, 79224, 4168, 87, 71, 2249, 73, 70, 80, 70, 19072, 953, 56029, 2641, 69, - 73, 2465, 36851, 73, 3059, 17008, 20824, 911, 80, 69417, 18442, 87, 51071, 360, - 89, 8480, 268, 75, 3906, 89835, 1073, 75, 9117, 1919, 88, 360, 96518, 8462, - 28679, 29700, 70, 1302, 65, 7488, 4239, 65116, 74, 21088, 2465, 10784, 85, 936, - 38359, 3647, 27278, 89, 8480, 8480, 3906, 1631, 1494, 295, 80, 318, 1631, 268, - 8050, 89, 3919, 61057, 77827, 39911, 354, 416, 337, 89, 9700, 69605, 6200, 1919, - 69, 7513, 73, 26738]], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '44957' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaWxOyOp/l799PsWvfOm+JICTsO04CAiYoiDg1NQWICKjIIQmkq7/7lD5dPdU3 - XhDkEJL/+q2V/Me//vrr7y5vymL6+5+//n7W4/T3//oeu2VT9vc/f/3vf/31119//cfv93+cWb7y - 8nar39Xv9F9j/b6V89///CX895H/f9I/f/0NxKClxgp4EdfwvQYlDBwa3usln99ibsHPRthT/bmU - YN7QvQGd6pBRa3NdIgZyzYUZLJ9km2bU5HVlJbCPzgNaz+LczCxxQ7g84QabxFUHhmxYKtWq3mAH - vdbDcgHvlUw3jkPUdbpv5tVkMxjHpYrY0DYmF2ZuwLN8V4gUaC6fywe31WovjtSYmevTdR8sYJ34 - EhJvzSun5/wUACO2a3pAVgqoEB8ruFRuhZEvSjkRVg9PlTQkIm7Gg0k3uHhBefPpSRs6SzQbpSfA - I2sDjOqK8slscwM0couwi0DKR/uVBsol2RLymo5mxI/uo4ftVTZwUEq7Zk7EPYFed68Qh1o8zO1m - pcDkNQ/Ub7rHwPlQi2COj5Qe/N3DXDbWnMK3xxhZT7eQTzu4bmGFrgv1QnLzZ80+JwAb9IEkYsjD - +EgHF949uKV3sbF9njz6FFqHUsDG9dNHizhVBqhGuODdDTyaKciPNWwXqSRsPVScry7bFG5hmhG0 - imROW0kW4PAWTWpJeBsxrLAACg25USw2L3/UkF3BLGkOSAblNMxhsl1gYxcuDXdP0iwPnEIgP6yW - KHIY5LyCWQvabWHgkzm+cuYLvgiIdgSo92Gez80tiyG9nq/U+LZ3xHcVcE/ICwmb6ymaZbEt4Il+ - GAGOa5qb4xEI8H33dtQ3/XXOr/6YwCx5HMhqPRlc0BCqFdGvR3wQT3E015+yhkqt5jjzg35Ypqtr - gO/7o1ezTD5zV5CBWHM6jM+9zYdhPZdw38wXethusMnNXBPUwNwZBLR6PdDTHJ7Uz21XIqZtM3Na - baMtXHa9Tk1tZs3YOLWmHmOxRKoLnGihWR4qyWGDqXW5PCLSypkIk3t+Qo9nooONddgTaI/LHQfA - DCPWP0QN2qukxm6TeLnkf9IOAFfhGC1oBGz3dkKo+6aJd0YrNNN8NGO4xOmC/SI9DVIzfzrFyayQ - FsbF8QneTiGkZhDiK3K0YTPEqQgk543QwqIajLphxNBiL0B3I94MU5ajEbLSrLF3OUoDu6iLslZx - aFCjeu74om+ZBe/EXmHUHKyIPcVOBNsz5kQRp3noay/WYPDoDHqLw6aZKx5mQFAVh2pv38iJrKU9 - DKTZpwcVtPlybswUon15xL/xvbBFEuDNen/IahcVnLtJZ8FojiXsxLszZ8nZOsF3Ne6pfu5avsSd - m0Cujw0OtMfDX86X1UnRr7OAz+en6vPbKSSQt8IH38aLHkn6uIdwRt6TLGDI/T6DgQvy/JAQOrIi - Z49mGwJNvmkYb5fJnCRWnGQNnk7f+rHlvLpCF5wlYpPv980XVjUlrObExbuNfvGXQ8xf6uFpQWxT - Zx9x/xP2ilxQhP1qjnJWRy8EJ8cYqNW4WTPn5iZTXSfTkXi/BjmPxjwG4bua6K65RZzMq2AF58dp - ROK3vizdZ4QwiIcdEdO9mi9AH7ZA259VtLg7J2dinDNwmEhDzQM8cQZqJ4VetM2wdo6Gpr/qexfG - 2q4jomhagGb2O4X4Kb2xIa0Rn0kOTxCXN0QGLXjzwU06G+7y3ZXMN02N2GXv2nDINjZaeif1Z7ON - NPklo4lqVDX5nGOvAmrS59iyFtGfbqt9/NMDqtGQ5ktuxJnylHc9DrbVGXBNNS2IwMWl1oWvIuZ3 - KwJi0r0RgG4V9Zr8dmEY7VPqkc5q5nJyEVz5cYudKwB8iQSrhnmpdfQ2y9HAz3mGIPDJDlvbj95Q - r9EK1Vt3Di0E4dOwqxclMBBUGTvf+kme60GDcXMgFJ12q4guhoDgvagARYCtzYGJOQP10xGpE40x - 4JFUFQBW1EQ0D2ST3W6+Ap5YzChiqQ0Wd9O3YIutDzoGYhNNVD4vECH9Qm1/3ZgzvlBREedyh3VV - LpoZFeMCt5xxJBkbO5ql08Lgu0g41fPS47woYwXowLXp/Xh8+XPSw1bJmtojnciihpdpp8A+8VS8 - t0s28DFNLKiGgk2A/NwNrDiKDF5UXcKHZ/4ESzGYBgx225gGxuXtcymHK/jpNgHeB9Nl4MeX6cKm - 03zq3W51PqVG7cKxUZ5EKUw5GlvproCWnC54D8qpedpQq2CumyMODmMTMflMDSjebIoNmGLAkXso - gEcsi0bb2I3YQwx6SGTjiXW+2ud8pO8UFH58JavEMHy2Yb0G1VLjeC/tAi6A2slgnuOEMF028q8+ - Zkp6ZjWqv/N3roWhB9uwm7B/3Ujggy9vAYSyzdCczEnEzHnvwmCnxIQvu0dErhsOYYXyBbF0feEs - nk8VRCs3o442jA2/7AoXBBL38d7zIB9CyTpBB2+f2HuIjcnOSLDBfnPOsB8p1jD3Bq9grF5TtJ3f - hs/bx72FG8pW1E0zbDLIxxEkdiHR/ePx4cuhWi+/90Hr7S5tPryuOrW4HLfY63HDGchdD37rCz6s - ho3/dK69BQ0FD2hzfqomLQ/RAimrdaIuL9df6vemht7RcWnA8g7Mct+FIOu3NUZ5G0dUiK8V7PZd - i111xOZXP05gXgSKjT045PM7lVuQ8KXDZqav+eQY4QKyimypkXPLZGD76OAUbDTsbdrKpGonV8AX - kiO2hFDj8+v0yKCiuAa136UcsewNRcCzfoWtx3pvSh/5c4Ju4i5YqzoHLLc5CoD2VlR8GC96TlTW - E2g1zxU1zuFnYPo16uFNb1/YPfmdP/RCm8AsogBtQ53k86m5eqDYVRY9njsL8Cm4bqEjPRfy+FBj - WC5t2UOopZheSeRH8zArsUp8ImAcCdXAb+1kAQbbGttz35pUH/UV7EvW0sCp0oYvz6yH/bwd8KHe - +v4871YB+F6fGuK+49OubxCUBGWNDao8wDKJnwq2JLzgwBTGfL4XKw9cDzeC5Pup5kzcow5szweO - jds5adh8kws4JqAjauQRn43WlsAtzDLs+G+Hz7I+d/CQxD49ZPZnWPZgYXDgc40eswNMNvA8BuMp - rhGorJKPWNkG4KeXwvngNCzbJSlUpv2O5FsfNvMpEBVYetKGtCs/4ptGASKMKONk4/cfwF5zs4XA - 3j3oXu7eAxdUzYPJmGL6qxfjtx5DF9oedY57JSff+QeLjbAl8rifB65Xggg/oCvpIZLqgYnVBcKb - 9fxgqwPtwEXv0kOzjwlS/Z1uzvNODIASiEeiNJEbsebpV6Au/AzJxg6DpcnlBMof4qNJKEhEb2CV - gqm8mmQTFkMz8Q9VlN7JAupImybinwZr8FAfe4xKwRwmEr69P/NXw1b7490Ksly7Y+N+Z9HkSP7r - xyN4HyfO8DSvOwV2z/REfYVIPk3DxwlSE4XYWSgyGftsethPzZmEoeJxvtJLD7DZ/2BbNFv+uqvg - BTDTT1i/abdo2Spaqh4/eYu4dSvAfK3MHtzelBL5BMtouZZ999M7JH/rAXPMmYEfr+0df2eyUNdK - 2Kz8GE3lvY+4vCYd0M1uoNdKOOdLvbYFqKeGRg2s18N8vl5O8Muj1NkiKxfWgqtA28096triAL79 - YygT7k40+/IcvQExA9trGJOxuqYmCT2jg63vHgkQ7ixfulu1wK8fItBSdCCqDrSh4ThPon75SXhB - WYMd5RM+fPFgZB+1A+o4t2iwnt0wfvkV4HyA1N4kLF/WhmarEagfX15so/lguQFUg5IheNq1/myy - OwJfvsTXve7n8+HxIUC7ugFFWV4DLqiuB61p7qh5F/bNsDxPHZzdOKSJZdwHtrqUpXJPxhcSZm1u - WLgBIQgOpxHrRr8d+EhYDFftUcOWdj3n7IMfHZDJ8Ui16PbMudsJJfjxm2/npKHrEyggF7ORHqz6 - 1Tye5fSC72gKECuXxzAfb+4KmikbkDyKL392F7uHws6/EQl5RsOFGRgwtNI39eXns+FW4iuwSp83 - rF1E219W12OmLpfAwt9617Bj+YHQPmcOWrp+4VxN3wXc3/oD2tytyJ9/fk0/I4KY+/D8Ga39ACKR - Gdi567O/6NutDXVfN6ejX2QmP+cnpCaZENCyrvCX54QQzm4S4oN+uuTTXXBK6DTGSDVfOEdsc00J - XJ2IinFmOoMwkiQF8MLe9GAWs8l3R3sF7+tBxwY9HCIqe1yE7Ik8aqnlOmeiqCDIa/2Cd5qumNMH - rUe4Hpac7vZVaL4XpMcq0sSerI4fPVpgIGugUA8hNsbkbs5nKtcgNhQFbWNSg2XOSf3zY2hR6k/D - T3N6AmcYBUiZ30XOF7RPYF3CkdpB2prLfe+yP/0P8pPq83lOBOV40gN6sNNg4LdTOgJXDrc0pCGO - Xn7UxVC03Jhq/MNMeu83ITTb+op4dfAa1u2vBeQXaSTSUw0axiPpBX0yjXjf3Xa5oJVhCyq6WFTL - rhXo7XYXwq+e0EOX3Yaff4B+vSDqqiM1WSvdt3/88VWNOZ/pe58CPJQ+NtdhM/CXfLDB7J+jb76A - AbspUwYG+zaTuWi1fKnfagVUUcVIud3qiNZVEMPc7sLv96WA66grwW2lJNjqZ28gfJuuoF8zRO0W - rMA0WmiBUbF+/OGj/hRm4h/+0qBTmkuVnz34Xk7B16988i+P23Cy8JXqTSOB+QVCQz1SzaVaqPSg - j/zbFvZrJ0XCaaUNwpf3gCZ+CJm7szwwmJgICtrrQvdriURdAwsBipYX0y/vDmPvtSMcxuseGyyq - +bKpMwVc9vJM9aKtoiWmTgvqt+xiFHZXczEVM1GrMtC/eYneSJqbnsCFRDZ60rvVCEWtiao4bCrq - vk5PwBaQQfDVD4zfq6whVX5zIcPhTLYFx4CZGVEU8X3KsO28jIitpi2B3/wIB5/7lC9b3SGgV+oT - 9S+vELBLHhfQkd4LtXXT4VKyNrdwoEFOVnxYTMaCwlVKiByK5bs+LDfYxZA8ugORpeWR8+EWaZCE - lkezk/syB6/RSgh8WcT7tYTyZffxArhv+AWxt1/nnGy0Wt3lzvXr597R0uunGiT364n6lVUCHqus - U1GuxfiP3iZnK4Rp20RE0K6bnI5kG4MbmqPf+PYZtc0VKM96hY23W0X8+PJdyOyPh9/PcOt3Ryft - oCHkCdaUp9/001CkUC/eNjbAAHx2CXEMss4Jfzxk9vezBSFBlU0PvZr6X1724HMF1gQ+ue5v9MvS - q/i5eRPhcRIGZtwHEci+71O8sTXAdyulhsnnpeLD8nLN6XHxvF8+Ri14nvjMPODKH9CXFJnWGfDe - 34xw8Q4OeX/5o/fuY60cT2aAcbVu/MXcpRU0pKCj5vVIzWllPuw//narM3EYG5Z2UJEShu29G4NJ - VUNRBX0h/td8ZRtvgdtO35HXV8/p85ynIIg/O+yb/j3vtDJ9weBjZIShS+gTxe4EWGa9hQ+9ujWX - 8Wn98fM4kC6tz97ncwd5FL6wk8DWHwWHZ8pH9zRqf/NI1h4UBI/UcIngn8NmdhfUb8eiDqhRLjkY - zyaBcPGwg11rXEwWu4MCpSaBZGuNiz/2k+lBsb251JA3Z1+6i16qfPUcm9KbD2RtuDYsSHGnv3xy - esjdC+oH8Uwet+nI57dehdBwdk9svuWk4RjdOuUsKAIONmruc3tnLNBRUYLN+tJGRCiMEbRusibS - l4f4DAcIM4cVCGwCC/B1by2gFpQdxe2A80ncHBGQ3bP85//8lQ8t7D7rlOq/++Owa8Gmfh3JM96M - +ZI51xhazXtFVp/Cz2fn2ttQKtUX1ZNZjEbeXwXw5Snq3HzfXCwtf/38O6p//TWtOQHf58GGumtz - qhRH78eLNIBy0oyut4dQ219UIrIwN+fG3muw3TUTaQel+JOXArG9u9Sf4Xng890rIZAPb3pwNkc+ - OHUb/vwA1aNdb3LvwmPIb0VIr1rnDSK5pwgww7LQQ3+8fVbdOhtOcGXiPb9Ww3CeXi/4zT+pDWQP - yJdoCGGGXQHvKs8dlpOsl+DLN2SbT0rEW88OwddPE0EYb2DWmpXwh3+8wpRzvhgwAF0kYrIxWmGY - fvwn7PY3rPuFYrJEqslPL7ArmmufHTZ3C+4EfYODY0qHEfJ2hKH+PiN569cRC3viwTGRO+p01Ttf - DtJJA9+8E1uuscvJVnfGnz6gzUsjA4kLjkCprgH6fq+I9dswVIPCvH155OgvK2PtKbtnZJHFxg9z - SdOsgKu3dUL8ABdOXk3BwHd8o3C+J/noejqEwUfLyDqXp2apvUKDtUIyukdO1fBQCkKg37OUgBlu - hvH+aU8AP06PP3kjja01VPSVv6fu/K59elHs1S9vo1+eGwiJTQsasVVj13wVDbkvpATP87rFB7M4 - +uwuyBkodrWFUelgfzm+Rw8+BvFF9Q81GvHSJj00yCnAB7k2h4lf8gpyZb2gp6Yr/nJWYgLeRcyR - tFZY9DkFKwX8/MTxiC1/8/X3kL3UFdpUihyNt53SAiWd2R9+mk7Baguiz6qkOFaXnDXON//YWSmO - DngV9Ze27IArn7YY7UOtEc8krKH7HjfUk9WK80IDKUTj64KN6vnkvDzkDNqPy4uI/gkN37xdABtp - fyG5unpFGyhpveoD8qEaOGmmmF2nEbgptPCuaz75BofVS5Xdi4xRlhtcKI6rBZo88rAVCjafgy3Q - 4HvailRDl9AU8oSPcLwShe7Oz5s/Y2LYkLBshe1vPsl2S5wCu/W2ZDlpSs5Ni7RQftjtV19yn8n7 - WgQrEwbkp3+z5Ey9ssnzD7W2n0ezxBS3gPvKARu9szU/03m0wS1fQryvV9hnv3zoW2/ovjwqA9fc - 8KQKJzfDcVWbQHTSvQUnISm+9dgyByOXFFgMwwF11b3wx69/+HM9HAnasNzPwQrqB+FMb4fY9b95 - X6mmcx0iMEzku36lnaBlWwXWn4nOpbEZEADTyaXWV+++eaIBETIv1EseNp8B2xaA2YOH5NTgYLRQ - T2DOV/rX71L++uXpp4acsPs5qsOCc38BbF8U1NLtPf/yPoJxgwm1WhSaf9ZbhM2pou7bSAa2ixfl - xyuIt68hmjNXSX71Esl2GQ7TZQ4YQKdsog4vjGa5q7xVE62vv/Ui84fFgAgOn7eElPCk+dx+fwJQ - KPnq124u1+hWg7u32pKOW04uasWhg6zUa3T9vEQwP+TqBehR1al92HzyBVXuCNdKExC4HAkg4WpT - AsetD9jyz+HA8x1LFMzME5G2qM37/TWOVaVMY+q1m4zT5Zl1YK08Aqwd+nzoDc5dePQVA+PiVeeL - wYEL3RY0dOdy0CxueT3B5WBcqWeFOJqPN22lGmsRk666Q396OnEIyrDIiPo++nz55b1f/kVCsTdN - CV/rRa2riv3h6UlrRBFa0jpCK2F2Gp7d9B4erMUl9WkinNNUOcFPJwWol8Mx+q4vjIqWJMq3fjr5 - /JFIAvjaiHAQrAmgh3vJ4JJzj3rPGke/8QBthO/Yz8TK/61vyG334fjwzYN+/Qn3rvlB4I41IEE/ - NaB3HSnWFaXlX782Alq4A/atZ9fM06hmUAeejTFREvPrH1J4ogPDv/H3OCTx65dv/upBw77rlWDZ - dfovH83JOo4LGL7riShn4ZTP2rEv4FlnBFstYn778zMoN2Lsre+RT0dbH+Fq252p9x4/JjcxGGE6 - VyHdlZdVMybSd3ynKKJaupbAH777MPwkPgk/0fjzV5KwXePv+nLOfnx2sJiLtesY5BOQpBG0Rt3T - /c39+H94eBpSDV/Qa91M4efgwmv13mBDqT8D8/xzoD6I9EFhuTuYlDjFCljep8ZaAyKfEWXFgLwt - IEbetAPCz6/+yU/ald3w2JIgtOLNAbvBuTYJuaeBKpXrF943QzMsxeBrYBscL2jZFELENTcN4ff5 - kFQftZxVzkGE4la8YbfbaIP00+dAWMvU+fI1z2yaysL22GAL65CPYXpd4GmwewKqOYrmXJI9qHjG - +uc/IpLSYfmzHursZ51L33xLiQfpTDZLWeR8VIQaLtPl8B2/jcmmOkPQreIbtrttPSwpbRgIxWNJ - zVuP+bLzK/LL87AGhVPzJ985yzeFvHlRN9y0Xi+4SPWWmujzjn75MPz7tyvgP//111//57fD4NXd - yud3Y8BUztO//3urwL+zW/ZvQRD/TcU/OxHImFXl3//81yaEvz9D9/pM/3fq2vI9/v3PX1BQ/2vD - wd9TN2XP/9nyr+8d//Nf/w8AAP//AwCe/y/15yAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c09bf89ed1e1c7e-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Mon, 01 May 2023 17:29:43 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '471' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - a9c89e6436668562329d35d627f16245 - status: - code: 200 - message: OK -version: 1 diff --git a/tests/integration/test_llm_utils.py b/tests/integration/test_llm_utils.py deleted file mode 100644 index 5bd4ead5183..00000000000 --- a/tests/integration/test_llm_utils.py +++ /dev/null @@ -1,65 +0,0 @@ -import string -from unittest.mock import MagicMock - -import pytest -from numpy.random import RandomState -from pytest_mock import MockerFixture - -from autogpt.config import Config -from autogpt.llm import utils as llm_utils -from autogpt.llm.api_manager import ApiManager -from autogpt.llm.modelsinfo import COSTS -from tests.utils import requires_api_key - - -@pytest.fixture(scope="session") -def random_large_string(): - """Big string used to overwhelm token limits.""" - seed = 42 - n_characters = 30_000 - random = RandomState(seed) - return "".join(random.choice(list(string.ascii_lowercase), size=n_characters)) - - -@pytest.fixture() -def api_manager(mocker: MockerFixture): - api_manager = ApiManager() - mocker.patch.multiple( - api_manager, - total_prompt_tokens=0, - total_completion_tokens=0, - total_cost=0, - ) - yield api_manager - - -@pytest.fixture() -def spy_create_embedding(mocker: MockerFixture): - return mocker.spy(llm_utils, "create_embedding") - - -@pytest.mark.vcr -@requires_api_key("OPENAI_API_KEY") -def test_get_ada_embedding( - config: Config, - api_manager: ApiManager, - spy_create_embedding: MagicMock, - patched_api_requestor, -): - token_cost = COSTS[config.embedding_model]["prompt"] - llm_utils.get_ada_embedding("test") - - spy_create_embedding.assert_called_once_with("test", model=config.embedding_model) - - assert (prompt_tokens := api_manager.get_total_prompt_tokens()) == 1 - assert api_manager.get_total_completion_tokens() == 0 - assert api_manager.get_total_cost() == (prompt_tokens * token_cost) / 1000 - - -@pytest.mark.vcr -@requires_api_key("OPENAI_API_KEY") -def test_get_ada_embedding_large_context(random_large_string): - # This test should be able to mock the openai call after we have a fix. We don't need - # to hit the API to test the logic of the function (so not using vcr). This is a quick - # regression test to document the issue. - llm_utils.get_ada_embedding(random_large_string) diff --git a/tests/unit/test_llm_utils.py b/tests/unit/test_llm_utils.py index 2a8f650e53c..3c1829754b9 100644 --- a/tests/unit/test_llm_utils.py +++ b/tests/unit/test_llm_utils.py @@ -101,33 +101,3 @@ def test_retry_openapi_other_api_error(capsys): output = capsys.readouterr() assert output.out == "" - - -def test_chunked_tokens(): - text = "Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model" - expected_output = [ - ( - 13556, - 12279, - 2898, - 374, - 459, - 22772, - 1825, - 31874, - 3851, - 67908, - 279, - 17357, - 315, - 279, - 480, - 2898, - 12, - 19, - 4221, - 1646, - ) - ] - output = list(llm_utils.chunked_tokens(text, "gpt-3.5-turbo", 4096)) - assert output == expected_output From 1dcdadb3c22dbfb91e1a3967373f7990d6fde3b5 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 19 May 2023 18:18:22 +0200 Subject: [PATCH 38/54] Process feedback of @ntindle and @collijk on PR #4208 --- autogpt/agent/agent.py | 8 ++-- autogpt/llm/base.py | 35 ++++++++++++--- autogpt/llm/chat.py | 39 ++++++++-------- autogpt/memory/message_history.py | 35 ++++++++++----- autogpt/processing/text.py | 2 +- autogpt/prompts/generator.py | 5 ++- tests/test_agent.py | 2 +- tests/unit/test_chat.py | 75 +------------------------------ 8 files changed, 83 insertions(+), 118 deletions(-) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index 56fc1c86219..88d5ba79f3e 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -10,7 +10,7 @@ from autogpt.config.ai_config import AIConfig from autogpt.json_utils.json_fix_llm import fix_json_using_multiple_techniques from autogpt.json_utils.utilities import LLM_DEFAULT_RESPONSE_FORMAT, validate_json -from autogpt.llm.chat import chat_with_ai, create_chat_completion, create_chat_message +from autogpt.llm.chat import chat_with_ai, create_chat_completion from autogpt.llm.utils import count_string_tokens from autogpt.log_cycle.log_cycle import ( FULL_MESSAGE_HISTORY_FILE_NAME, @@ -298,12 +298,10 @@ def signal_handler(signum, frame): # Check if there's a result from the command append it to the message # history if result is not None: - self.history.append(create_chat_message("system", result)) + self.history.add("system", result) logger.typewriter_log("SYSTEM: ", Fore.YELLOW, result) else: - self.history.append( - create_chat_message("system", "Unable to execute command") - ) + self.history.add("system", "Unable to execute command") logger.typewriter_log( "SYSTEM: ", Fore.YELLOW, "Unable to execute command" ) diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index 4f9f4a368ac..ef383fc1a91 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -1,3 +1,5 @@ +from __future__ import annotations + from dataclasses import dataclass, field from math import ceil, floor from typing import List, Literal, TypedDict @@ -47,27 +49,46 @@ class EmbeddingModelInfo(ModelInfo): @dataclass -class ChatPrompt(List[Message]): +class ChatPrompt: """Container for an OpenAI chat completion prompt""" model: ChatModelInfo + messages: list[Message] = [] + + def __iter__(self): + return iter(self.messages) + + def __len__(self): + return len(self.messages) + + def append(self, message: Message): + return self.messages.append(message) + + def extend(self, messages: list[Message] | ChatPrompt): + return self.messages.extend(messages) + + def insert(self, index: int, message: Message): + return self.messages.insert(index, message) @classmethod - def for_model(cls, model_name: str): + def for_model(cls, model_name: str, messages: list[Message] | ChatPrompt = []): from autogpt.llm.providers.openai import OPEN_AI_CHAT_MODELS if not model_name in OPEN_AI_CHAT_MODELS: raise ValueError(f"Unknown chat model '{model_name}'") - return ChatPrompt(model=OPEN_AI_CHAT_MODELS[model_name]) + + return ChatPrompt( + model=OPEN_AI_CHAT_MODELS[model_name], messages=list(messages) + ) def add(self, message_role: Literal["system", "user", "assistant"], content: str): - self.append({"role": message_role, "content": content}) + self.messages.append({"role": message_role, "content": content}) @property def token_length(self): from autogpt.llm.utils import count_message_tokens - return count_message_tokens(self, self.model.name) + return count_message_tokens(self.messages, self.model.name) def dump(self) -> str: SEPARATOR_LENGTH = 42 @@ -77,11 +98,11 @@ def separator(text: str): return f"{floor(half_sep_len)*'-'} {text.upper()} {ceil(half_sep_len)*'-'}" formatted_messages = "\n".join( - [f"{separator(m['role'])}\n{m['content']}" for m in self] + [f"{separator(m['role'])}\n{m['content']}" for m in self.messages] ) return f""" =============== ChatPrompt =============== -Length: {self.token_length} tokens; {len(self)} messages +Length: {self.token_length} tokens; {len(self.messages)} messages {formatted_messages} ========================================== """ diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index a437f3c6a4e..2480d50c7c3 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -9,7 +9,7 @@ from autogpt.config import Config from autogpt.llm.api_manager import ApiManager -from autogpt.llm.base import Message +from autogpt.llm.base import ChatPrompt, Message from autogpt.llm.utils import count_message_tokens, create_chat_completion from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME from autogpt.logs import logger @@ -70,22 +70,25 @@ def chat_with_ai( # logger.debug(f"Memory Stats: {agent.memory.get_stats()}") relevant_memory = [] - message_chain = [ - create_chat_message("system", system_prompt), - create_chat_message( - "system", f"The current time and date is {time.strftime('%c')}" - ), - # create_chat_message( - # "system", - # f"This reminds you of these events from your past:\n{relevant_memory}\n\n", - # ), - ] + message_chain = ChatPrompt.for_model( + model, + [ + create_chat_message("system", system_prompt), + create_chat_message( + "system", f"The current time and date is {time.strftime('%c')}" + ), + # create_chat_message( + # "system", + # f"This reminds you of these events from your past:\n{relevant_memory}\n\n", + # ), + ], + ) # Add messages from the full message history until we reach the token limit next_message_to_add_index = len(agent.history) - 1 insertion_index = len(message_chain) # Count the currently used tokens - current_tokens_used = count_message_tokens(message_chain, model) + current_tokens_used = message_chain.token_length # while current_tokens_used > 2500: # # remove memories until we are under 2500 tokens @@ -122,7 +125,7 @@ def chat_with_ai( # Update & add summary of trimmed messages if len(agent.history) > 0: new_summary_message, newly_trimmed_messages = agent.history.trim_messages( - current_message_chain=message_chain, + current_message_chain=list(message_chain), ) message_chain.insert(insertion_index, new_summary_message) @@ -142,7 +145,7 @@ def chat_with_ai( else "\n\n" ) logger.debug(budget_message) - message_chain.append(create_chat_message("system", budget_message)) + message_chain.add("system", budget_message) # Append user input, the length of this is accounted for above message_chain.append(user_input_msg) @@ -152,7 +155,7 @@ def chat_with_ai( if not plugin.can_handle_on_planning(): continue plugin_response = plugin.on_planning( - agent.config.prompt_generator, message_chain + agent.config.prompt_generator, list(message_chain) ) if not plugin_response or plugin_response == "": continue @@ -163,7 +166,7 @@ def chat_with_ai( logger.debug(f"Plugin response too long, skipping: {plugin_response}") logger.debug(f"Plugins remaining at stop: {plugin_count - i}") break - message_chain.append(create_chat_message("system", plugin_response)) + message_chain.add("system", plugin_response) # Calculate remaining tokens tokens_remaining = token_limit - current_tokens_used @@ -195,12 +198,12 @@ def chat_with_ai( # temperature and other settings we care about assistant_reply = create_chat_completion( model=model, - messages=message_chain, + messages=list(message_chain), max_tokens=tokens_remaining, ) # Update full message history agent.history.append(user_input_msg) - agent.history.append(create_chat_message("assistant", assistant_reply)) + agent.history.add("assistant", assistant_reply) return assistant_reply diff --git a/autogpt/memory/message_history.py b/autogpt/memory/message_history.py index 72930a61b3b..efddafaae36 100644 --- a/autogpt/memory/message_history.py +++ b/autogpt/memory/message_history.py @@ -2,7 +2,8 @@ import copy import json -from typing import TYPE_CHECKING +from dataclasses import dataclass +from typing import TYPE_CHECKING, Literal from autogpt.memory.vector.memory_item import MemoryItem @@ -21,17 +22,29 @@ from autogpt.memory.vector import VectorMemory -class MessageHistory(list[Message]): +@dataclass +class MessageHistory: agent: Agent - summary: str + messages: list[Message] = [] + summary: str = "I was created" - last_trimmed_index: int + last_trimmed_index: int = 0 - def __init__(self, agent: Agent): - self.agent = agent - self.summary = "I was created." - self.last_trimmed_index = 0 + def __getitem__(self, i: int): + return self.messages[i] + + def __iter__(self): + return iter(self.messages) + + def __len__(self): + return len(self.messages) + + def add(self, role: Literal["system", "user", "assistant"], content: str): + return self.append({"role": role, "content": content}) + + def append(self, message: Message): + return self.messages.append(message) def trim_messages( self, @@ -70,7 +83,7 @@ def trim_messages( # Find the index of the last message processed if new_messages_not_in_chain: last_message = new_messages_not_in_chain[-1] - self.last_trimmed_index = self.index(last_message) + self.last_trimmed_index = self.messages.index(last_message) return new_summary_message, new_messages_not_in_chain @@ -82,9 +95,9 @@ def archive( """Saves messages up to the given index to permanent memory""" while up_to_index >= 0: - ai_message = self[up_to_index] + ai_message = self.messages[up_to_index] if is_string_valid_json(ai_message["content"], LLM_DEFAULT_RESPONSE_FORMAT): - next_message = self[up_to_index + 1] + next_message = self.messages[up_to_index + 1] memory_to_add = MemoryItem.from_ai_action(ai_message, next_message) logger.debug(f"Storing the following memory: {memory_to_add}") permanent_memory.add(memory_to_add) diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index 1d63a5423c9..ff8c17ccb8c 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -111,7 +111,7 @@ def summarize_text( logger.debug(f"Summarizing with {model}:\n{summarization_prompt.dump()}\n") summary = create_chat_completion( - summarization_prompt, model, temperature=0, max_tokens=500 + list(summarization_prompt), model, temperature=0, max_tokens=500 ) logger.debug(f"\n{'-'*16} SUMMARY {'-'*17}\n{summary}\n{'-'*42}\n") diff --git a/autogpt/prompts/generator.py b/autogpt/prompts/generator.py index 4ad430f01fa..adf6489432b 100644 --- a/autogpt/prompts/generator.py +++ b/autogpt/prompts/generator.py @@ -1,8 +1,9 @@ """ A module for generating custom prompt strings.""" import json -from typing import Any, Callable, Dict, List, Optional +from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional -from autogpt.commands.command import CommandRegistry +if TYPE_CHECKING: + from autogpt.commands.command import CommandRegistry class PromptGenerator: diff --git a/tests/test_agent.py b/tests/test_agent.py index 5f7dab75faf..4f05e36b126 100644 --- a/tests/test_agent.py +++ b/tests/test_agent.py @@ -33,7 +33,7 @@ def agent(): def test_agent_initialization(agent: Agent): assert agent.ai_name == "Test AI" assert agent.memory == agent.memory - assert agent.history == [] + assert agent.history.messages == [] assert agent.next_action_count == 0 assert agent.command_registry == agent.command_registry assert agent.config == agent.config diff --git a/tests/unit/test_chat.py b/tests/unit/test_chat.py index 13a7ce0df02..15bd8d6343f 100644 --- a/tests/unit/test_chat.py +++ b/tests/unit/test_chat.py @@ -1,78 +1,7 @@ -# Generated by CodiumAI -import time -from unittest.mock import patch +from autogpt.llm.chat import create_chat_message -from autogpt.llm.chat import create_chat_message, generate_context - -def test_happy_path_role_content(): +def test_create_chat_message(): """Test that the function returns a dictionary with the correct keys and values when valid strings are provided for role and content.""" result = create_chat_message("system", "Hello, world!") assert result == {"role": "system", "content": "Hello, world!"} - - -def test_empty_role_content(): - """Test that the function returns a dictionary with the correct keys and values when empty strings are provided for role and content.""" - result = create_chat_message("", "") - assert result == {"role": "", "content": ""} - - -def test_generate_context_empty_inputs(mocker): - """Test the behavior of the generate_context function when all input parameters are empty.""" - # Mock the time.strftime function to return a fixed value - mocker.patch("time.strftime", return_value="Sat Apr 15 00:00:00 2023") - # Arrange - prompt = "" - relevant_memory = "" - full_message_history = [] - model = "gpt-3.5-turbo-0301" - - # Act - result = generate_context(prompt, relevant_memory, full_message_history, model) - - # Assert - expected_result = ( - -1, - 32, - 2, - [ - {"role": "system", "content": ""}, - { - "role": "system", - "content": f"The current time and date is {time.strftime('%c')}", - }, - ], - ) - assert result == expected_result - - -def test_generate_context_valid_inputs(): - """Test that the function successfully generates a current_context given valid inputs.""" - # Given - prompt = "What is your favorite color?" - relevant_memory = "You once painted your room blue." - full_message_history = [ - create_chat_message("user", "Hi there!"), - create_chat_message("assistant", "Hello! How can I assist you today?"), - create_chat_message("user", "Can you tell me a joke?"), - create_chat_message( - "assistant", - "Why did the tomato turn red? Because it saw the salad dressing!", - ), - create_chat_message("user", "Haha, that's funny."), - ] - model = "gpt-3.5-turbo-0301" - - # When - result = generate_context(prompt, relevant_memory, full_message_history, model) - - # Then - assert isinstance(result[0], int) - assert isinstance(result[1], int) - assert isinstance(result[2], int) - assert isinstance(result[3], list) - assert result[0] >= 0 - assert result[2] >= 0 - assert result[1] >= 0 - assert len(result[3]) >= 2 # current_context should have at least 2 messages - assert result[1] <= 2048 # token limit for GPT-3.5-turbo-0301 is 2048 tokens From 21140c8d3e709dd09aa63a1bbe880017428653eb Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 19 May 2023 19:03:51 +0200 Subject: [PATCH 39/54] Process feedback from @collijk on PR #4208 (vol. 3) --- autogpt/commands/file_operations.py | 2 +- autogpt/llm/chat.py | 10 ++++++++-- autogpt/memory/message_history.py | 30 ++++++++++++---------------- autogpt/memory/vector/memory_item.py | 2 +- 4 files changed, 23 insertions(+), 21 deletions(-) diff --git a/autogpt/commands/file_operations.py b/autogpt/commands/file_operations.py index 8464c034ae8..d64c6338a78 100644 --- a/autogpt/commands/file_operations.py +++ b/autogpt/commands/file_operations.py @@ -191,7 +191,7 @@ def ingest_file( # TODO: differentiate between different types of files file_memory = MemoryItem.from_text_file(content, filename) - logger.debug(f"Created memory: {file_memory}") + logger.debug(f"Created memory: {file_memory.dump()}") memory.add(file_memory) logger.info(f"Ingested {len(file_memory.e_chunks)} chunks from {filename}") diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 2480d50c7c3..5e251f57d07 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -13,7 +13,7 @@ from autogpt.llm.utils import count_message_tokens, create_chat_completion from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME from autogpt.logs import logger -from autogpt.memory.vector import MemoryItem, VectorMemory +from autogpt.memory.vector import MemoryItem, get_memory cfg = Config() @@ -124,11 +124,17 @@ def chat_with_ai( # Update & add summary of trimmed messages if len(agent.history) > 0: - new_summary_message, newly_trimmed_messages = agent.history.trim_messages( + new_summary_message, trimmed_messages = agent.history.trim_messages( current_message_chain=list(message_chain), ) message_chain.insert(insertion_index, new_summary_message) + memory_store = get_memory(cfg) + for ai_msg, result_msg in agent.history.filter_message_pairs(trimmed_messages): + memory_to_add = MemoryItem.from_ai_action(ai_msg, result_msg) + logger.debug(f"Storing the following memory:\n{memory_to_add.dump()}") + memory_store.add(memory_to_add) + api_manager = ApiManager() # inform the AI about its remaining budget (if it has one) if api_manager.get_total_budget() > 0.0: diff --git a/autogpt/memory/message_history.py b/autogpt/memory/message_history.py index efddafaae36..9e891205931 100644 --- a/autogpt/memory/message_history.py +++ b/autogpt/memory/message_history.py @@ -5,8 +5,6 @@ from dataclasses import dataclass from typing import TYPE_CHECKING, Literal -from autogpt.memory.vector.memory_item import MemoryItem - if TYPE_CHECKING: from autogpt.agent import Agent @@ -87,22 +85,20 @@ def trim_messages( return new_summary_message, new_messages_not_in_chain - def archive( - self, - up_to_index: int, - permanent_memory: VectorMemory, - ): - """Saves messages up to the given index to permanent memory""" - - while up_to_index >= 0: - ai_message = self.messages[up_to_index] + @staticmethod + def filter_message_pairs(messages: list[Message]): + """ + Yields: + Message: a message from the AI containing a proposed action + Message: the message containing the result of the AI's proposed action + """ + i = 0 + while i < len(messages): + ai_message = messages[i] if is_string_valid_json(ai_message["content"], LLM_DEFAULT_RESPONSE_FORMAT): - next_message = self.messages[up_to_index + 1] - memory_to_add = MemoryItem.from_ai_action(ai_message, next_message) - logger.debug(f"Storing the following memory: {memory_to_add}") - permanent_memory.add(memory_to_add) - - up_to_index -= 1 + result_message = messages[i + 1] + yield ai_message, result_message + i += 1 def summary_message(self) -> Message: return { diff --git a/autogpt/memory/vector/memory_item.py b/autogpt/memory/vector/memory_item.py index 55766a6d498..c57b87aa3e8 100644 --- a/autogpt/memory/vector/memory_item.py +++ b/autogpt/memory/vector/memory_item.py @@ -145,7 +145,7 @@ def from_webpage(content: str, url: str, question: str | None = None): question_for_summary=question, ) - def __str__(self) -> str: + def dump(self) -> str: token_length = count_string_tokens(self.raw_content, Config().embedding_model) return f""" =============== MemoryItem =============== From 65a479a0f7f1975ced1b87ef919715d0515f3dbc Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Fri, 19 May 2023 19:17:58 +0200 Subject: [PATCH 40/54] Fix used token calculation in `chat_with_ai` --- autogpt/llm/base.py | 3 +++ autogpt/llm/chat.py | 5 ++++- 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index ef383fc1a91..ff83db87b14 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -55,6 +55,9 @@ class ChatPrompt: model: ChatModelInfo messages: list[Message] = [] + def __getitem__(self, i: int): + return self.messages[i] + def __iter__(self): return iter(self.messages) diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 5e251f57d07..306c5a5354b 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -106,7 +106,7 @@ def chat_with_ai( user_input_msg = create_chat_message("user", user_input) current_tokens_used += count_message_tokens([user_input_msg], model) - current_tokens_used += 500 # Account for memory (appended later) TODO: The final memory may be less than 500 tokens + current_tokens_used += 500 # Reserve space for new_summary_message # Add Messages until the token limit is reached or there are no more messages to add. while next_message_to_add_index >= 0: @@ -127,7 +127,9 @@ def chat_with_ai( new_summary_message, trimmed_messages = agent.history.trim_messages( current_message_chain=list(message_chain), ) + tokens_to_add = count_message_tokens([new_summary_message], model) message_chain.insert(insertion_index, new_summary_message) + current_tokens_used += tokens_to_add - 500 memory_store = get_memory(cfg) for ai_msg, result_msg in agent.history.filter_message_pairs(trimmed_messages): @@ -152,6 +154,7 @@ def chat_with_ai( ) logger.debug(budget_message) message_chain.add("system", budget_message) + current_tokens_used += count_message_tokens([message_chain[-1]], model) # Append user input, the length of this is accounted for above message_chain.append(user_input_msg) From 6572fc99e30db2066cd4bfce5813b5c063bc4952 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Sat, 20 May 2023 19:58:32 +0200 Subject: [PATCH 41/54] Apply fixes from @k-boikov --- autogpt/agent/agent.py | 2 +- autogpt/llm/base.py | 2 +- autogpt/llm/chat.py | 2 +- autogpt/memory/message_history.py | 5 ++--- 4 files changed, 5 insertions(+), 6 deletions(-) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index 88d5ba79f3e..b1b80bd8ad2 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -112,7 +112,7 @@ def signal_handler(signum, frame): self.config.ai_name, self.created_at, self.cycle_count, - self.history, + self.history.messages, FULL_MESSAGE_HISTORY_FILE_NAME, ) if ( diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index ff83db87b14..2170e338ca0 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -53,7 +53,7 @@ class ChatPrompt: """Container for an OpenAI chat completion prompt""" model: ChatModelInfo - messages: list[Message] = [] + messages: list[Message] = field(default_factory=list) def __getitem__(self, i: int): return self.messages[i] diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 306c5a5354b..938848987c4 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -199,7 +199,7 @@ def chat_with_ai( agent.config.ai_name, agent.created_at, agent.cycle_count, - message_chain, + message_chain.messages, CURRENT_CONTEXT_FILE_NAME, ) diff --git a/autogpt/memory/message_history.py b/autogpt/memory/message_history.py index 9e891205931..0c14b4f9acc 100644 --- a/autogpt/memory/message_history.py +++ b/autogpt/memory/message_history.py @@ -2,7 +2,7 @@ import copy import json -from dataclasses import dataclass +from dataclasses import dataclass, field from typing import TYPE_CHECKING, Literal if TYPE_CHECKING: @@ -17,14 +17,13 @@ from autogpt.llm.utils import create_chat_completion from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME from autogpt.logs import logger -from autogpt.memory.vector import VectorMemory @dataclass class MessageHistory: agent: Agent - messages: list[Message] = [] + messages: list[Message] = field(default_factory=list) summary: str = "I was created" last_trimmed_index: int = 0 From 0bddadf27fe2e9992a096b3d575ff0c904e52511 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Sat, 20 May 2023 20:13:16 +0200 Subject: [PATCH 42/54] Update BULLETIN.md --- BULLETIN.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/BULLETIN.md b/BULLETIN.md index 62aeeba24aa..766d45ac4a3 100644 --- a/BULLETIN.md +++ b/BULLETIN.md @@ -43,3 +43,11 @@ Auto-GPT now has support for plugins! With plugins, you can extend Auto-GPT's ab adding support for third-party services and more. See https://github.com/Significant-Gravitas/Auto-GPT-Plugins for instructions and available plugins. Specific plugins can be allowlisted/denylisted in .env. + +## Memory backend deprecation ⚠️ +The Milvus, Pinecone and Weaviate memory backends were rendered incompatible +by work on the memory system, and have been removed in `master`. The Redis +memory store was also temporarily removed but we aim to merge a new implementation +before the next release. +Whether built-in support for the others will be added back in the future is subject to +discussion, feel free to pitch in: https://github.com/Significant-Gravitas/Auto-GPT/discussions/4280 From cfd1f139582952f4110d5bb8db542f4978f78220 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Wed, 24 May 2023 17:58:55 +0200 Subject: [PATCH 43/54] Clean-up --- autogpt/agent/agent.py | 2 +- autogpt/commands/web_requests.py | 10 ---------- autogpt/memory/message_history.py | 5 ----- 3 files changed, 1 insertion(+), 16 deletions(-) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index 1f0e9de75a2..d15acb7617e 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -257,7 +257,7 @@ def signal_handler(signum, frame): # Execute command if command_name is not None and command_name.lower().startswith("error"): result = ( - f"Command {command_name} threw the following error: {arguments}" + f"Could not execute command: {arguments}" ) elif command_name == "human_feedback": result = f"Human feedback: {user_input}" diff --git a/autogpt/commands/web_requests.py b/autogpt/commands/web_requests.py index 60e54252d4e..156ba1033c5 100644 --- a/autogpt/commands/web_requests.py +++ b/autogpt/commands/web_requests.py @@ -100,13 +100,3 @@ def scrape_links(url: str) -> str | list[str]: hyperlinks = extract_hyperlinks(soup, url) return format_hyperlinks(hyperlinks) - - -def create_message(chunk, question): - """Create a message for the user to summarize a chunk of text""" - return { - "role": "user", - "content": f'"""{chunk}""" Using the above text, answer the following' - f' question: "{question}" -- if the question cannot be answered using the' - " text, summarize the text.", - } diff --git a/autogpt/memory/message_history.py b/autogpt/memory/message_history.py index 0c14b4f9acc..b0f7e4de78b 100644 --- a/autogpt/memory/message_history.py +++ b/autogpt/memory/message_history.py @@ -68,11 +68,6 @@ def trim_messages( msg for msg in new_messages if msg not in current_message_chain ] - # agent.history.archive( - # new_messages_not_in_chain, - # agent.memory, - # ) - new_summary_message = self.update_running_summary( new_events=new_messages_not_in_chain ) From 20002e46dec82c4f5621fca61367f51654419baf Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 01:57:30 +0200 Subject: [PATCH 44/54] Fix MessageHistory trimming --- autogpt/agent/agent.py | 8 ++--- autogpt/llm/base.py | 18 ++++++++--- autogpt/llm/chat.py | 18 +++++------ autogpt/memory/message_history.py | 53 ++++++++++++++++++++++--------- 4 files changed, 62 insertions(+), 35 deletions(-) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index d15acb7617e..3c9da89d6bf 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -256,9 +256,7 @@ def signal_handler(signum, frame): # Execute command if command_name is not None and command_name.lower().startswith("error"): - result = ( - f"Could not execute command: {arguments}" - ) + result = f"Could not execute command: {arguments}" elif command_name == "human_feedback": result = f"Human feedback: {user_input}" elif command_name == "self_feedback": @@ -298,10 +296,10 @@ def signal_handler(signum, frame): # Check if there's a result from the command append it to the message # history if result is not None: - self.history.add("system", result) + self.history.add("system", result, "action_result") logger.typewriter_log("SYSTEM: ", Fore.YELLOW, result) else: - self.history.add("system", "Unable to execute command") + self.history.add("system", "Unable to execute command", "action_result") logger.typewriter_log( "SYSTEM: ", Fore.YELLOW, "Unable to execute command" ) diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index 2170e338ca0..e7293e48ebd 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -4,14 +4,21 @@ from math import ceil, floor from typing import List, Literal, TypedDict +MessageRole = Literal["system", "user", "assistant"] +MessageType = Literal["ai_response", "action_result"] -class Message(TypedDict): - """OpenAI Message object containing a role and the message content""" - role: Literal["system", "user", "assistant"] +class _MessageBase(TypedDict): + role: MessageRole content: str +class Message(_MessageBase, total=False): + """OpenAI Message object containing a role and the message content""" + + type: MessageType + + @dataclass class ModelInfo: """Struct for model information. @@ -70,8 +77,9 @@ def append(self, message: Message): def extend(self, messages: list[Message] | ChatPrompt): return self.messages.extend(messages) - def insert(self, index: int, message: Message): - return self.messages.insert(index, message) + def insert(self, index: int, *messages: Message): + for message in reversed(messages): + self.messages.insert(index, message) @classmethod def for_model(cls, model_name: str, messages: list[Message] | ChatPrompt = []): diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 938848987c4..9d3f0634e63 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -9,7 +9,7 @@ from autogpt.config import Config from autogpt.llm.api_manager import ApiManager -from autogpt.llm.base import ChatPrompt, Message +from autogpt.llm.base import ChatPrompt, Message, MessageRole from autogpt.llm.utils import count_message_tokens, create_chat_completion from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME from autogpt.logs import logger @@ -18,7 +18,7 @@ cfg = Config() -def create_chat_message(role: str, content: str) -> Message: +def create_chat_message(role: MessageRole, content: str) -> Message: """ Create a chat message with the given role and content. @@ -109,18 +109,16 @@ def chat_with_ai( current_tokens_used += 500 # Reserve space for new_summary_message # Add Messages until the token limit is reached or there are no more messages to add. - while next_message_to_add_index >= 0: - message_to_add = agent.history[next_message_to_add_index] - - tokens_to_add = count_message_tokens([message_to_add], model) + for cycle in reversed(list(agent.history.per_cycle())): + messages_to_add = [msg for msg in cycle if msg is not None] + tokens_to_add = count_message_tokens(messages_to_add, model) if current_tokens_used + tokens_to_add > send_token_limit: break # Add the most recent message to the start of the chain, # after the system prompts. - message_chain.insert(insertion_index, agent.history[next_message_to_add_index]) + message_chain.insert(insertion_index, *messages_to_add) current_tokens_used += tokens_to_add - next_message_to_add_index -= 1 # Update & add summary of trimmed messages if len(agent.history) > 0: @@ -132,7 +130,7 @@ def chat_with_ai( current_tokens_used += tokens_to_add - 500 memory_store = get_memory(cfg) - for ai_msg, result_msg in agent.history.filter_message_pairs(trimmed_messages): + for _, ai_msg, result_msg in agent.history.per_cycle(trimmed_messages): memory_to_add = MemoryItem.from_ai_action(ai_msg, result_msg) logger.debug(f"Storing the following memory:\n{memory_to_add.dump()}") memory_store.add(memory_to_add) @@ -213,6 +211,6 @@ def chat_with_ai( # Update full message history agent.history.append(user_input_msg) - agent.history.add("assistant", assistant_reply) + agent.history.add("assistant", assistant_reply, "ai_response") return assistant_reply diff --git a/autogpt/memory/message_history.py b/autogpt/memory/message_history.py index b0f7e4de78b..de2d8929fe6 100644 --- a/autogpt/memory/message_history.py +++ b/autogpt/memory/message_history.py @@ -3,7 +3,7 @@ import copy import json from dataclasses import dataclass, field -from typing import TYPE_CHECKING, Literal +from typing import TYPE_CHECKING if TYPE_CHECKING: from autogpt.agent import Agent @@ -13,7 +13,7 @@ LLM_DEFAULT_RESPONSE_FORMAT, is_string_valid_json, ) -from autogpt.llm.base import Message +from autogpt.llm.base import Message, MessageRole, MessageType from autogpt.llm.utils import create_chat_completion from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME from autogpt.logs import logger @@ -37,8 +37,16 @@ def __iter__(self): def __len__(self): return len(self.messages) - def add(self, role: Literal["system", "user", "assistant"], content: str): - return self.append({"role": role, "content": content}) + def add( + self, + role: MessageRole, + content: str, + type: MessageType | None = None, + ): + message: Message = {"role": role, "content": content} + if type: + message["type"] = type + return self.append(message) def append(self, message: Message): return self.messages.append(message) @@ -68,31 +76,46 @@ def trim_messages( msg for msg in new_messages if msg not in current_message_chain ] + if not new_messages_not_in_chain: + return self.summary_message(), [] + new_summary_message = self.update_running_summary( new_events=new_messages_not_in_chain ) # Find the index of the last message processed - if new_messages_not_in_chain: - last_message = new_messages_not_in_chain[-1] - self.last_trimmed_index = self.messages.index(last_message) + last_message = new_messages_not_in_chain[-1] + self.last_trimmed_index = self.messages.index(last_message) return new_summary_message, new_messages_not_in_chain - @staticmethod - def filter_message_pairs(messages: list[Message]): + def per_cycle(self, messages: list[Message] | None = None): """ Yields: + Message: a message containing user input Message: a message from the AI containing a proposed action Message: the message containing the result of the AI's proposed action """ - i = 0 - while i < len(messages): + messages = messages or self.messages + for i in range(0, len(messages) - 1): ai_message = messages[i] - if is_string_valid_json(ai_message["content"], LLM_DEFAULT_RESPONSE_FORMAT): - result_message = messages[i + 1] - yield ai_message, result_message - i += 1 + if "type" not in ai_message or not ai_message["type"] == "ai_response": + continue + user_message = ( + messages[i - 1] if i > 0 and messages[i - 1]["role"] == "user" else None + ) + result_message = messages[i + 1] + try: + assert is_string_valid_json( + ai_message["content"], LLM_DEFAULT_RESPONSE_FORMAT + ), "AI response is not a valid JSON object" + assert result_message["type"] == "action_result" + + yield user_message, ai_message, result_message + except AssertionError as err: + logger.debug( + f"Invalid item in message history: {err}; Messages: {messages[i-1:i+2]}" + ) def summary_message(self) -> Message: return { From bfe547d9b62d7ec40fa5b359ed824461178edeae Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 02:00:20 +0200 Subject: [PATCH 45/54] Uncomment non-essential memory creation --- autogpt/llm/chat.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 9d3f0634e63..44df99492ef 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -129,11 +129,12 @@ def chat_with_ai( message_chain.insert(insertion_index, new_summary_message) current_tokens_used += tokens_to_add - 500 - memory_store = get_memory(cfg) - for _, ai_msg, result_msg in agent.history.per_cycle(trimmed_messages): - memory_to_add = MemoryItem.from_ai_action(ai_msg, result_msg) - logger.debug(f"Storing the following memory:\n{memory_to_add.dump()}") - memory_store.add(memory_to_add) + # FIXME: uncomment when memory is back in use + # memory_store = get_memory(cfg) + # for _, ai_msg, result_msg in agent.history.per_cycle(trimmed_messages): + # memory_to_add = MemoryItem.from_ai_action(ai_msg, result_msg) + # logger.debug(f"Storing the following memory:\n{memory_to_add.dump()}") + # memory_store.add(memory_to_add) api_manager = ApiManager() # inform the AI about its remaining budget (if it has one) From 59e33be1426c58237e4880993294f50cd0396536 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 17:40:07 +0200 Subject: [PATCH 46/54] Remove config of removed memory backends --- .env.template | 42 +--------------------------------------- autogpt/config/config.py | 37 +++-------------------------------- 2 files changed, 4 insertions(+), 75 deletions(-) diff --git a/.env.template b/.env.template index b3c70bc348e..7a4a22bb9c2 100644 --- a/.env.template +++ b/.env.template @@ -98,18 +98,10 @@ OPENAI_API_KEY=your-openai-api-key ### MEMORY_BACKEND - Memory backend type ## json_file - Default -## pinecone - Pinecone (if configured) ## redis - Redis (if configured) -## milvus - Milvus (if configured - also works with Zilliz) ## MEMORY_INDEX - Name of index created in Memory backend (Default: auto-gpt) # MEMORY_BACKEND=json_file -# MEMORY_INDEX=auto-gpt - -### PINECONE -## PINECONE_API_KEY - Pinecone API Key (Example: my-pinecone-api-key) -## PINECONE_ENV - Pinecone environment (region) (Example: us-west-2) -# PINECONE_API_KEY=your-pinecone-api-key -# PINECONE_ENV=your-pinecone-region +# MEMORY_INDEX=auto-gpt-memory ### REDIS ## REDIS_HOST - Redis host (Default: localhost, use "redis" for docker-compose) @@ -121,38 +113,6 @@ OPENAI_API_KEY=your-openai-api-key # REDIS_PASSWORD= # WIPE_REDIS_ON_START=True -### WEAVIATE -## MEMORY_BACKEND - Use 'weaviate' to use Weaviate vector storage -## WEAVIATE_HOST - Weaviate host IP -## WEAVIATE_PORT - Weaviate host port -## WEAVIATE_PROTOCOL - Weaviate host protocol (e.g. 'http') -## USE_WEAVIATE_EMBEDDED - Whether to use Embedded Weaviate -## WEAVIATE_EMBEDDED_PATH - File system path were to persist data when running Embedded Weaviate -## WEAVIATE_USERNAME - Weaviate username -## WEAVIATE_PASSWORD - Weaviate password -## WEAVIATE_API_KEY - Weaviate API key if using API-key-based authentication -# WEAVIATE_HOST="127.0.0.1" -# WEAVIATE_PORT=8080 -# WEAVIATE_PROTOCOL="http" -# USE_WEAVIATE_EMBEDDED=False -# WEAVIATE_EMBEDDED_PATH="/home/me/.local/share/weaviate" -# WEAVIATE_USERNAME= -# WEAVIATE_PASSWORD= -# WEAVIATE_API_KEY= - -### MILVUS -## MILVUS_ADDR - Milvus remote address (e.g. localhost:19530, https://xxx-xxxx.xxxx.xxxx.zillizcloud.com:443) -## MILVUS_USERNAME - username for your Milvus database -## MILVUS_PASSWORD - password for your Milvus database -## MILVUS_SECURE - True to enable TLS. (Default: False) -## Setting MILVUS_ADDR to a `https://` URL will override this setting. -## MILVUS_COLLECTION - Milvus collection, change it if you want to start a new memory and retain the old memory. -# MILVUS_ADDR=localhost:19530 -# MILVUS_USERNAME= -# MILVUS_PASSWORD= -# MILVUS_SECURE= -# MILVUS_COLLECTION=autogpt - ################################################################################ ### IMAGE GENERATION PROVIDER ################################################################################ diff --git a/autogpt/config/config.py b/autogpt/config/config.py index 324eb854066..94255333c50 100644 --- a/autogpt/config/config.py +++ b/autogpt/config/config.py @@ -96,28 +96,6 @@ def __init__(self) -> None: self.google_api_key = os.getenv("GOOGLE_API_KEY") self.custom_search_engine_id = os.getenv("CUSTOM_SEARCH_ENGINE_ID") - self.pinecone_api_key = os.getenv("PINECONE_API_KEY") - self.pinecone_region = os.getenv("PINECONE_ENV") - - self.weaviate_host = os.getenv("WEAVIATE_HOST") - self.weaviate_port = os.getenv("WEAVIATE_PORT") - self.weaviate_protocol = os.getenv("WEAVIATE_PROTOCOL", "http") - self.weaviate_username = os.getenv("WEAVIATE_USERNAME", None) - self.weaviate_password = os.getenv("WEAVIATE_PASSWORD", None) - self.weaviate_scopes = os.getenv("WEAVIATE_SCOPES", None) - self.weaviate_embedded_path = os.getenv("WEAVIATE_EMBEDDED_PATH") - self.weaviate_api_key = os.getenv("WEAVIATE_API_KEY", None) - self.use_weaviate_embedded = ( - os.getenv("USE_WEAVIATE_EMBEDDED", "False") == "True" - ) - - # milvus or zilliz cloud configuration. - self.milvus_addr = os.getenv("MILVUS_ADDR", "localhost:19530") - self.milvus_username = os.getenv("MILVUS_USERNAME") - self.milvus_password = os.getenv("MILVUS_PASSWORD") - self.milvus_collection = os.getenv("MILVUS_COLLECTION", "autogpt") - self.milvus_secure = os.getenv("MILVUS_SECURE") == "True" - self.image_provider = os.getenv("IMAGE_PROVIDER") self.image_size = int(os.getenv("IMAGE_SIZE", 256)) self.huggingface_api_token = os.getenv("HUGGINGFACE_API_TOKEN") @@ -143,14 +121,13 @@ def __init__(self) -> None: " (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36", ) + self.memory_backend = os.getenv("MEMORY_BACKEND", "json_file") + self.memory_index = os.getenv("MEMORY_INDEX", "auto-gpt-memory") + self.redis_host = os.getenv("REDIS_HOST", "localhost") self.redis_port = int(os.getenv("REDIS_PORT", "6379")) self.redis_password = os.getenv("REDIS_PASSWORD", "") self.wipe_redis_on_start = os.getenv("WIPE_REDIS_ON_START", "True") == "True" - self.memory_index = os.getenv("MEMORY_INDEX", "auto-gpt") - # Note that indexes must be created on db 0 in redis, this is not configurable. - - self.memory_backend = os.getenv("MEMORY_BACKEND", "json_file") self.plugins_dir = os.getenv("PLUGINS_DIR", "plugins") self.plugins: List[AutoGPTPluginTemplate] = [] @@ -271,14 +248,6 @@ def set_custom_search_engine_id(self, value: str) -> None: """Set the custom search engine id value.""" self.custom_search_engine_id = value - def set_pinecone_api_key(self, value: str) -> None: - """Set the Pinecone API key value.""" - self.pinecone_api_key = value - - def set_pinecone_region(self, value: str) -> None: - """Set the Pinecone region value.""" - self.pinecone_region = value - def set_debug_mode(self, value: bool) -> None: """Set the debug mode value.""" self.debug_mode = value From ec64c36af3c774307093bdb718fa747689b313d0 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 18:04:28 +0200 Subject: [PATCH 47/54] Replace Message TypedDict by dataclass --- autogpt/agent/agent.py | 10 +++-- autogpt/agent/agent_manager.py | 50 +++++++++------------- autogpt/llm/api_manager.py | 3 +- autogpt/llm/base.py | 34 +++++++++------ autogpt/llm/chat.py | 59 ++++++++++---------------- autogpt/llm/utils/__init__.py | 39 +++++++++-------- autogpt/llm/utils/token_counter.py | 2 +- autogpt/memory/message_history.py | 52 ++++++++++------------- autogpt/processing/text.py | 6 +-- autogpt/setup.py | 21 +++++---- tests/unit/test_chat.py | 7 --- tests/{ => unit}/test_token_counter.py | 35 ++++----------- 12 files changed, 141 insertions(+), 177 deletions(-) delete mode 100644 tests/unit/test_chat.py rename tests/{ => unit}/test_token_counter.py (59%) diff --git a/autogpt/agent/agent.py b/autogpt/agent/agent.py index 3c9da89d6bf..8c7a5456d7e 100644 --- a/autogpt/agent/agent.py +++ b/autogpt/agent/agent.py @@ -10,6 +10,7 @@ from autogpt.config.ai_config import AIConfig from autogpt.json_utils.json_fix_llm import fix_json_using_multiple_techniques from autogpt.json_utils.utilities import LLM_DEFAULT_RESPONSE_FORMAT, validate_json +from autogpt.llm.base import ChatSequence from autogpt.llm.chat import chat_with_ai, create_chat_completion from autogpt.llm.utils import count_string_tokens from autogpt.log_cycle.log_cycle import ( @@ -112,7 +113,7 @@ def signal_handler(signum, frame): self.config.ai_name, self.created_at, self.cycle_count, - self.history.messages, + [m.raw() for m in self.history], FULL_MESSAGE_HISTORY_FILE_NAME, ) if ( @@ -335,17 +336,18 @@ def get_self_feedback(self, thoughts: dict, llm_model: str) -> str: thought = thoughts.get("thoughts", "") feedback_thoughts = thought + reasoning + plan - messages = [{"role": "user", "content": feedback_prompt + feedback_thoughts}] + prompt = ChatSequence.for_model(llm_model) + prompt.add("user", feedback_prompt + feedback_thoughts) self.log_cycle_handler.log_cycle( self.config.ai_name, self.created_at, self.cycle_count, - messages, + prompt.raw(), PROMPT_SUPERVISOR_FEEDBACK_FILE_NAME, ) - feedback = create_chat_completion(messages, model=llm_model) + feedback = create_chat_completion(prompt) self.log_cycle_handler.log_cycle( self.config.ai_name, diff --git a/autogpt/agent/agent_manager.py b/autogpt/agent/agent_manager.py index 18a10eeb38d..90121aad089 100644 --- a/autogpt/agent/agent_manager.py +++ b/autogpt/agent/agent_manager.py @@ -1,9 +1,8 @@ """Agent manager for managing GPT agents""" from __future__ import annotations -from typing import List - from autogpt.config import Config +from autogpt.llm.base import ChatSequence from autogpt.llm.chat import Message, create_chat_completion from autogpt.singleton import Singleton @@ -21,49 +20,45 @@ def __init__(self): # Create new GPT agent # TODO: Centralise use of create_chat_completion() to globally enforce token limit - def create_agent(self, task: str, prompt: str, model: str) -> tuple[int, str]: + def create_agent(self, task: str, creation_prompt: str, model: str) -> tuple[int, str]: """Create a new agent and return its key Args: task: The task to perform - prompt: The prompt to use - model: The model to use + creation_prompt: Prompt passed to the LLM at creation + model: The model to use to run this agent Returns: The key of the new agent """ - messages: List[Message] = [ - {"role": "user", "content": prompt}, - ] + messages = ChatSequence.for_model(model, [Message("user", creation_prompt)]) + for plugin in self.cfg.plugins: if not plugin.can_handle_pre_instruction(): continue - if plugin_messages := plugin.pre_instruction(messages): - messages.extend(iter(plugin_messages)) + if plugin_messages := plugin.pre_instruction(messages.raw()): + messages.extend([Message(**raw_msg) for raw_msg in plugin_messages]) # Start GPT instance - agent_reply = create_chat_completion( - model=model, - messages=messages, - ) + agent_reply = create_chat_completion(prompt=messages) - messages.append({"role": "assistant", "content": agent_reply}) + messages.add("assistant", agent_reply) plugins_reply = "" for i, plugin in enumerate(self.cfg.plugins): if not plugin.can_handle_on_instruction(): continue - if plugin_result := plugin.on_instruction(messages): + if plugin_result := plugin.on_instruction([m.raw() for m in messages]): sep = "\n" if i else "" plugins_reply = f"{plugins_reply}{sep}{plugin_result}" if plugins_reply and plugins_reply != "": - messages.append({"role": "assistant", "content": plugins_reply}) + messages.add("assistant", plugins_reply) key = self.next_key # This is done instead of len(agents) to make keys unique even if agents # are deleted self.next_key += 1 - self.agents[key] = (task, messages, model) + self.agents[key] = (task, list(messages), model) for plugin in self.cfg.plugins: if not plugin.can_handle_post_instruction(): @@ -85,33 +80,30 @@ def message_agent(self, key: str | int, message: str) -> str: task, messages, model = self.agents[int(key)] # Add user message to message history before sending to agent - messages.append({"role": "user", "content": message}) + messages = ChatSequence.for_model(model, messages) + messages.add("user", message) for plugin in self.cfg.plugins: if not plugin.can_handle_pre_instruction(): continue - if plugin_messages := plugin.pre_instruction(messages): - for plugin_message in plugin_messages: - messages.append(plugin_message) + if plugin_messages := plugin.pre_instruction([m.raw() for m in messages]): + messages.extend([Message(**raw_msg) for raw_msg in plugin_messages]) # Start GPT instance - agent_reply = create_chat_completion( - model=model, - messages=messages, - ) + agent_reply = create_chat_completion(prompt=messages) - messages.append({"role": "assistant", "content": agent_reply}) + messages.add("assistant", agent_reply) plugins_reply = agent_reply for i, plugin in enumerate(self.cfg.plugins): if not plugin.can_handle_on_instruction(): continue - if plugin_result := plugin.on_instruction(messages): + if plugin_result := plugin.on_instruction([m.raw() for m in messages]): sep = "\n" if i else "" plugins_reply = f"{plugins_reply}{sep}{plugin_result}" # Update full message history if plugins_reply and plugins_reply != "": - messages.append({"role": "assistant", "content": plugins_reply}) + messages.add("assistant", plugins_reply) for plugin in self.cfg.plugins: if not plugin.can_handle_post_instruction(): diff --git a/autogpt/llm/api_manager.py b/autogpt/llm/api_manager.py index 55bf7c09d8b..7442579de86 100644 --- a/autogpt/llm/api_manager.py +++ b/autogpt/llm/api_manager.py @@ -6,6 +6,7 @@ from openai import Model from autogpt.config import Config +from autogpt.llm.base import MessageDict from autogpt.llm.modelsinfo import COSTS from autogpt.logs import logger from autogpt.singleton import Singleton @@ -28,7 +29,7 @@ def reset(self): def create_chat_completion( self, - messages: list, # type: ignore + messages: list[MessageDict], model: str | None = None, temperature: float = None, max_tokens: int | None = None, diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index e7293e48ebd..04c8ebb0125 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -8,15 +8,22 @@ MessageType = Literal["ai_response", "action_result"] -class _MessageBase(TypedDict): +class MessageDict(TypedDict): role: MessageRole content: str -class Message(_MessageBase, total=False): +@dataclass +class Message: """OpenAI Message object containing a role and the message content""" - type: MessageType + role: MessageRole + content: str + type: MessageType | None = None + + + def raw(self) -> MessageDict: + return {"role": self.role, "content": self.content} @dataclass @@ -56,8 +63,8 @@ class EmbeddingModelInfo(ModelInfo): @dataclass -class ChatPrompt: - """Container for an OpenAI chat completion prompt""" +class ChatSequence: + """Utility container for a chat sequence""" model: ChatModelInfo messages: list[Message] = field(default_factory=list) @@ -74,7 +81,7 @@ def __len__(self): def append(self, message: Message): return self.messages.append(message) - def extend(self, messages: list[Message] | ChatPrompt): + def extend(self, messages: list[Message] | ChatSequence): return self.messages.extend(messages) def insert(self, index: int, *messages: Message): @@ -82,18 +89,18 @@ def insert(self, index: int, *messages: Message): self.messages.insert(index, message) @classmethod - def for_model(cls, model_name: str, messages: list[Message] | ChatPrompt = []): + def for_model(cls, model_name: str, messages: list[Message] | ChatSequence = []): from autogpt.llm.providers.openai import OPEN_AI_CHAT_MODELS if not model_name in OPEN_AI_CHAT_MODELS: raise ValueError(f"Unknown chat model '{model_name}'") - return ChatPrompt( + return ChatSequence( model=OPEN_AI_CHAT_MODELS[model_name], messages=list(messages) ) - def add(self, message_role: Literal["system", "user", "assistant"], content: str): - self.messages.append({"role": message_role, "content": content}) + def add(self, message_role: MessageRole, content: str): + self.messages.append(Message(message_role, content)) @property def token_length(self): @@ -101,6 +108,9 @@ def token_length(self): return count_message_tokens(self.messages, self.model.name) + def raw(self) -> list[MessageDict]: + return [m.raw() for m in self.messages] + def dump(self) -> str: SEPARATOR_LENGTH = 42 @@ -109,10 +119,10 @@ def separator(text: str): return f"{floor(half_sep_len)*'-'} {text.upper()} {ceil(half_sep_len)*'-'}" formatted_messages = "\n".join( - [f"{separator(m['role'])}\n{m['content']}" for m in self.messages] + [f"{separator(m.role)}\n{m.content}" for m in self.messages] ) return f""" -=============== ChatPrompt =============== +============== ChatSequence ============== Length: {self.token_length} tokens; {len(self.messages)} messages {formatted_messages} ========================================== diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 44df99492ef..3277dd6bf32 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -9,7 +9,7 @@ from autogpt.config import Config from autogpt.llm.api_manager import ApiManager -from autogpt.llm.base import ChatPrompt, Message, MessageRole +from autogpt.llm.base import ChatSequence, Message from autogpt.llm.utils import count_message_tokens, create_chat_completion from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME from autogpt.logs import logger @@ -18,20 +18,6 @@ cfg = Config() -def create_chat_message(role: MessageRole, content: str) -> Message: - """ - Create a chat message with the given role and content. - - Args: - role (str): The role of the message sender, e.g., "system", "user", or "assistant". - content (str): The content of the message. - - Returns: - dict: A dictionary containing the role and content of the message. - """ - return {"role": role, "content": content} - - # TODO: Change debug from hardcode to argument def chat_with_ai( agent: Agent, @@ -70,14 +56,14 @@ def chat_with_ai( # logger.debug(f"Memory Stats: {agent.memory.get_stats()}") relevant_memory = [] - message_chain = ChatPrompt.for_model( + message_sequence = ChatSequence.for_model( model, [ - create_chat_message("system", system_prompt), - create_chat_message( + Message("system", system_prompt), + Message( "system", f"The current time and date is {time.strftime('%c')}" ), - # create_chat_message( + # Message( # "system", # f"This reminds you of these events from your past:\n{relevant_memory}\n\n", # ), @@ -86,9 +72,9 @@ def chat_with_ai( # Add messages from the full message history until we reach the token limit next_message_to_add_index = len(agent.history) - 1 - insertion_index = len(message_chain) + insertion_index = len(message_sequence) # Count the currently used tokens - current_tokens_used = message_chain.token_length + current_tokens_used = message_sequence.token_length # while current_tokens_used > 2500: # # remove memories until we are under 2500 tokens @@ -103,7 +89,7 @@ def chat_with_ai( # ) # Account for user input (appended later) - user_input_msg = create_chat_message("user", user_input) + user_input_msg = Message("user", user_input) current_tokens_used += count_message_tokens([user_input_msg], model) current_tokens_used += 500 # Reserve space for new_summary_message @@ -117,16 +103,16 @@ def chat_with_ai( # Add the most recent message to the start of the chain, # after the system prompts. - message_chain.insert(insertion_index, *messages_to_add) + message_sequence.insert(insertion_index, *messages_to_add) current_tokens_used += tokens_to_add # Update & add summary of trimmed messages if len(agent.history) > 0: new_summary_message, trimmed_messages = agent.history.trim_messages( - current_message_chain=list(message_chain), + current_message_chain=list(message_sequence), ) tokens_to_add = count_message_tokens([new_summary_message], model) - message_chain.insert(insertion_index, new_summary_message) + message_sequence.insert(insertion_index, new_summary_message) current_tokens_used += tokens_to_add - 500 # FIXME: uncomment when memory is back in use @@ -152,29 +138,29 @@ def chat_with_ai( else "\n\n" ) logger.debug(budget_message) - message_chain.add("system", budget_message) - current_tokens_used += count_message_tokens([message_chain[-1]], model) + message_sequence.add("system", budget_message) + current_tokens_used += count_message_tokens([message_sequence[-1]], model) # Append user input, the length of this is accounted for above - message_chain.append(user_input_msg) + message_sequence.append(user_input_msg) plugin_count = len(cfg.plugins) for i, plugin in enumerate(cfg.plugins): if not plugin.can_handle_on_planning(): continue plugin_response = plugin.on_planning( - agent.config.prompt_generator, list(message_chain) + agent.config.prompt_generator, message_sequence.raw() ) if not plugin_response or plugin_response == "": continue tokens_to_add = count_message_tokens( - [create_chat_message("system", plugin_response)], model + [Message("system", plugin_response)], model ) if current_tokens_used + tokens_to_add > send_token_limit: logger.debug(f"Plugin response too long, skipping: {plugin_response}") logger.debug(f"Plugins remaining at stop: {plugin_count - i}") break - message_chain.add("system", plugin_response) + message_sequence.add("system", plugin_response) # Calculate remaining tokens tokens_remaining = token_limit - current_tokens_used @@ -187,26 +173,25 @@ def chat_with_ai( logger.debug(f"Send Token Count: {current_tokens_used}") logger.debug(f"Tokens remaining for response: {tokens_remaining}") logger.debug("------------ CONTEXT SENT TO AI ---------------") - for message in message_chain: + for message in message_sequence: # Skip printing the prompt - if message["role"] == "system" and message["content"] == system_prompt: + if message.role == "system" and message.content == system_prompt: continue - logger.debug(f"{message['role'].capitalize()}: {message['content']}") + logger.debug(f"{message.role.capitalize()}: {message.content}") logger.debug("") logger.debug("----------- END OF CONTEXT ----------------") agent.log_cycle_handler.log_cycle( agent.config.ai_name, agent.created_at, agent.cycle_count, - message_chain.messages, + message_sequence.raw(), CURRENT_CONTEXT_FILE_NAME, ) # TODO: use a model defined elsewhere, so that model can contain # temperature and other settings we care about assistant_reply = create_chat_completion( - model=model, - messages=list(message_chain), + prompt=message_sequence, max_tokens=tokens_remaining, ) diff --git a/autogpt/llm/utils/__init__.py b/autogpt/llm/utils/__init__.py index 9f1c9636385..b6bcc1d39f0 100644 --- a/autogpt/llm/utils/__init__.py +++ b/autogpt/llm/utils/__init__.py @@ -13,10 +13,10 @@ from openai.openai_object import OpenAIObject from autogpt.config import Config -from autogpt.llm.api_manager import ApiManager -from autogpt.llm.base import Message from autogpt.logs import logger +from ..api_manager import ApiManager +from ..base import ChatSequence, Message from .token_counter import * @@ -131,17 +131,20 @@ def call_ai_function( # For each arg, if any are None, convert to "None": args = [str(arg) if arg is not None else "None" for arg in args] # parse args to comma separated string - args: str = ", ".join(args) - messages: List[Message] = [ - { - "role": "system", - "content": f"You are now the following python function: ```# {description}" - f"\n{function}```\n\nOnly respond with your `return` value.", - }, - {"role": "user", "content": args}, - ] - - return create_chat_completion(model=model, messages=messages, temperature=0) + arg_str: str = ", ".join(args) + + prompt = ChatSequence.for_model( + model, + [ + Message( + "system", + f"You are now the following python function: ```# {description}" + f"\n{function}```\n\nOnly respond with your `return` value.", + ), + Message("user", arg_str), + ], + ) + return create_chat_completion(prompt=prompt, temperature=0) @metered @@ -178,7 +181,7 @@ def create_text_completion( @metered @retry_openai_api() def create_chat_completion( - messages: list[Message], # type: ignore + prompt: ChatSequence, model: Optional[str] = None, temperature: float = None, max_tokens: Optional[int] = None, @@ -195,6 +198,8 @@ def create_chat_completion( str: The response from the chat completion """ cfg = Config() + if model is None: + model = prompt.model.name if temperature is None: temperature = cfg.temperature @@ -203,13 +208,13 @@ def create_chat_completion( ) for plugin in cfg.plugins: if plugin.can_handle_chat_completion( - messages=messages, + messages=prompt.raw(), model=model, temperature=temperature, max_tokens=max_tokens, ): message = plugin.handle_chat_completion( - messages=messages, + messages=prompt.raw(), model=model, temperature=temperature, max_tokens=max_tokens, @@ -226,7 +231,7 @@ def create_chat_completion( response = api_manager.create_chat_completion( **kwargs, - messages=messages, + messages=prompt.raw(), temperature=temperature, max_tokens=max_tokens, ) diff --git a/autogpt/llm/utils/token_counter.py b/autogpt/llm/utils/token_counter.py index 5e13920ed8d..bd1dcf1b3b7 100644 --- a/autogpt/llm/utils/token_counter.py +++ b/autogpt/llm/utils/token_counter.py @@ -53,7 +53,7 @@ def count_message_tokens( num_tokens = 0 for message in messages: num_tokens += tokens_per_message - for key, value in message.items(): + for key, value in message.raw().items(): num_tokens += len(encoding.encode(value)) if key == "name": num_tokens += tokens_per_name diff --git a/autogpt/memory/message_history.py b/autogpt/memory/message_history.py index de2d8929fe6..b89004adab9 100644 --- a/autogpt/memory/message_history.py +++ b/autogpt/memory/message_history.py @@ -13,7 +13,7 @@ LLM_DEFAULT_RESPONSE_FORMAT, is_string_valid_json, ) -from autogpt.llm.base import Message, MessageRole, MessageType +from autogpt.llm.base import ChatSequence, Message, MessageRole, MessageType from autogpt.llm.utils import create_chat_completion from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME from autogpt.logs import logger @@ -43,10 +43,7 @@ def add( content: str, type: MessageType | None = None, ): - message: Message = {"role": role, "content": content} - if type: - message["type"] = type - return self.append(message) + return self.append(Message(role, content, type)) def append(self, message: Message): return self.messages.append(message) @@ -99,17 +96,17 @@ def per_cycle(self, messages: list[Message] | None = None): messages = messages or self.messages for i in range(0, len(messages) - 1): ai_message = messages[i] - if "type" not in ai_message or not ai_message["type"] == "ai_response": + if ai_message.type != "ai_response": continue user_message = ( - messages[i - 1] if i > 0 and messages[i - 1]["role"] == "user" else None + messages[i - 1] if i > 0 and messages[i - 1].role == "user" else None ) result_message = messages[i + 1] try: assert is_string_valid_json( - ai_message["content"], LLM_DEFAULT_RESPONSE_FORMAT + ai_message.content, LLM_DEFAULT_RESPONSE_FORMAT ), "AI response is not a valid JSON object" - assert result_message["type"] == "action_result" + assert result_message.type == "action_result" yield user_message, ai_message, result_message except AssertionError as err: @@ -118,10 +115,10 @@ def per_cycle(self, messages: list[Message] | None = None): ) def summary_message(self) -> Message: - return { - "role": "system", - "content": f"This reminds you of these events from your past: \n{self.summary}", - } + return Message( + "system", + f"This reminds you of these events from your past: \n{self.summary}", + ) def update_running_summary(self, new_events: list[Message]) -> Message: """ @@ -150,24 +147,24 @@ def update_running_summary(self, new_events: list[Message]) -> Message: # Replace "assistant" with "you". This produces much better first person past tense results. for event in new_events: - if event["role"].lower() == "assistant": - event["role"] = "you" + if event.role.lower() == "assistant": + event.role = "you" # Remove "thoughts" dictionary from "content" try: - content_dict = json.loads(event["content"]) + content_dict = json.loads(event.content) if "thoughts" in content_dict: del content_dict["thoughts"] - event["content"] = json.dumps(content_dict) + event.content = json.dumps(content_dict) except json.decoder.JSONDecodeError: if cfg.debug_mode: - logger.error(f"Error: Invalid JSON: {event['content']}\n") + logger.error(f"Error: Invalid JSON: {event.content}\n") - elif event["role"].lower() == "system": - event["role"] = "your computer" + elif event.role.lower() == "system": + event.role = "your computer" # Delete all user messages - elif event["role"] == "user": + elif event.role == "user": new_events.remove(event) prompt = f'''Your task is to create a concise running summary of actions and information results in the provided text, focusing on key and potentially important information to remember. @@ -185,21 +182,18 @@ def update_running_summary(self, new_events: list[Message]) -> Message: """ ''' - messages: list[Message] = [ - { - "role": "user", - "content": prompt, - } - ] + prompt = ChatSequence.for_model( + cfg.fast_llm_model, [Message("user", prompt)] + ) self.agent.log_cycle_handler.log_cycle( self.agent.config.ai_name, self.agent.created_at, self.agent.cycle_count, - messages, + prompt.raw(), PROMPT_SUMMARY_FILE_NAME, ) - self.summary = create_chat_completion(messages, cfg.fast_llm_model) + self.summary = create_chat_completion(prompt) self.agent.log_cycle_handler.log_cycle( self.agent.config.ai_name, diff --git a/autogpt/processing/text.py b/autogpt/processing/text.py index ff8c17ccb8c..aadc93ef49c 100644 --- a/autogpt/processing/text.py +++ b/autogpt/processing/text.py @@ -6,7 +6,7 @@ import tiktoken from autogpt.config import Config -from autogpt.llm.base import ChatPrompt +from autogpt.llm.base import ChatSequence from autogpt.llm.providers.openai import OPEN_AI_MODELS from autogpt.llm.utils import count_string_tokens, create_chat_completion from autogpt.logs import logger @@ -87,7 +87,7 @@ def summarize_text( "Do not directly answer the question itself" ) - summarization_prompt = ChatPrompt.for_model(model) + summarization_prompt = ChatSequence.for_model(model) token_length = count_string_tokens(text, model) logger.info(f"Text length: {token_length} tokens") @@ -111,7 +111,7 @@ def summarize_text( logger.debug(f"Summarizing with {model}:\n{summarization_prompt.dump()}\n") summary = create_chat_completion( - list(summarization_prompt), model, temperature=0, max_tokens=500 + summarization_prompt, temperature=0, max_tokens=500 ) logger.debug(f"\n{'-'*16} SUMMARY {'-'*17}\n{summary}\n{'-'*42}\n") diff --git a/autogpt/setup.py b/autogpt/setup.py index f96aa75289f..67cae5da491 100644 --- a/autogpt/setup.py +++ b/autogpt/setup.py @@ -7,6 +7,7 @@ from autogpt import utils from autogpt.config import Config from autogpt.config.ai_config import AIConfig +from autogpt.llm.base import ChatSequence, Message from autogpt.llm.chat import create_chat_completion from autogpt.logs import logger from autogpt.prompts.default_prompts import ( @@ -175,17 +176,15 @@ def generate_aiconfig_automatic(user_prompt) -> AIConfig: DEFAULT_TASK_PROMPT_AICONFIG_AUTOMATIC ).render(user_prompt=user_prompt) # Call LLM with the string as user input - messages = [ - { - "role": "system", - "content": system_prompt, - }, - { - "role": "user", - "content": prompt_ai_config_automatic, - }, - ] - output = create_chat_completion(messages, CFG.fast_llm_model) + output = create_chat_completion( + ChatSequence.for_model( + CFG.fast_llm_model, + [ + Message("system", system_prompt), + Message("user", prompt_ai_config_automatic), + ], + ) + ) # Debug LLM Output logger.debug(f"AI Config Generator Raw Output: {output}") diff --git a/tests/unit/test_chat.py b/tests/unit/test_chat.py deleted file mode 100644 index 15bd8d6343f..00000000000 --- a/tests/unit/test_chat.py +++ /dev/null @@ -1,7 +0,0 @@ -from autogpt.llm.chat import create_chat_message - - -def test_create_chat_message(): - """Test that the function returns a dictionary with the correct keys and values when valid strings are provided for role and content.""" - result = create_chat_message("system", "Hello, world!") - assert result == {"role": "system", "content": "Hello, world!"} diff --git a/tests/test_token_counter.py b/tests/unit/test_token_counter.py similarity index 59% rename from tests/test_token_counter.py rename to tests/unit/test_token_counter.py index 7e3c45d1e78..feed18b1389 100644 --- a/tests/test_token_counter.py +++ b/tests/unit/test_token_counter.py @@ -1,20 +1,13 @@ import pytest +from autogpt.llm.base import Message from autogpt.llm.utils import count_message_tokens, count_string_tokens def test_count_message_tokens(): messages = [ - {"role": "user", "content": "Hello"}, - {"role": "assistant", "content": "Hi there!"}, - ] - assert count_message_tokens(messages) == 17 - - -def test_count_message_tokens_with_name(): - messages = [ - {"role": "user", "content": "Hello", "name": "John"}, - {"role": "assistant", "content": "Hi there!"}, + Message("user", "Hello"), + Message("assistant", "Hi there!"), ] assert count_message_tokens(messages) == 17 @@ -25,19 +18,19 @@ def test_count_message_tokens_empty_input(): def test_count_message_tokens_invalid_model(): - """Invalid model should raise a KeyError""" + """Invalid model should raise a NotImplementedError""" messages = [ - {"role": "user", "content": "Hello"}, - {"role": "assistant", "content": "Hi there!"}, + Message("user", "Hello"), + Message("assistant", "Hi there!"), ] - with pytest.raises(KeyError): + with pytest.raises(NotImplementedError): count_message_tokens(messages, model="invalid_model") def test_count_message_tokens_gpt_4(): messages = [ - {"role": "user", "content": "Hello"}, - {"role": "assistant", "content": "Hi there!"}, + Message("user", "Hello"), + Message("assistant", "Hi there!"), ] assert count_message_tokens(messages, model="gpt-4-0314") == 15 @@ -55,16 +48,6 @@ def test_count_string_tokens_empty_input(): assert count_string_tokens("", model_name="gpt-3.5-turbo-0301") == 0 -def test_count_message_tokens_invalid_model(): - """Invalid model should raise a NotImplementedError""" - messages = [ - {"role": "user", "content": "Hello"}, - {"role": "assistant", "content": "Hi there!"}, - ] - with pytest.raises(NotImplementedError): - count_message_tokens(messages, model="invalid_model") - - def test_count_string_tokens_gpt_4(): """Test that the string tokens are counted correctly.""" From 8a21cde2da1ae811a4052084581ce59844230b6e Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 18:22:49 +0200 Subject: [PATCH 48/54] Linting --- autogpt/agent/agent_manager.py | 4 +++- autogpt/llm/base.py | 1 - autogpt/llm/chat.py | 4 +--- autogpt/memory/message_history.py | 4 +--- 4 files changed, 5 insertions(+), 8 deletions(-) diff --git a/autogpt/agent/agent_manager.py b/autogpt/agent/agent_manager.py index 90121aad089..8560b0ec2af 100644 --- a/autogpt/agent/agent_manager.py +++ b/autogpt/agent/agent_manager.py @@ -20,7 +20,9 @@ def __init__(self): # Create new GPT agent # TODO: Centralise use of create_chat_completion() to globally enforce token limit - def create_agent(self, task: str, creation_prompt: str, model: str) -> tuple[int, str]: + def create_agent( + self, task: str, creation_prompt: str, model: str + ) -> tuple[int, str]: """Create a new agent and return its key Args: diff --git a/autogpt/llm/base.py b/autogpt/llm/base.py index 04c8ebb0125..5018b703764 100644 --- a/autogpt/llm/base.py +++ b/autogpt/llm/base.py @@ -21,7 +21,6 @@ class Message: content: str type: MessageType | None = None - def raw(self) -> MessageDict: return {"role": self.role, "content": self.content} diff --git a/autogpt/llm/chat.py b/autogpt/llm/chat.py index 3277dd6bf32..c55016f26ce 100644 --- a/autogpt/llm/chat.py +++ b/autogpt/llm/chat.py @@ -60,9 +60,7 @@ def chat_with_ai( model, [ Message("system", system_prompt), - Message( - "system", f"The current time and date is {time.strftime('%c')}" - ), + Message("system", f"The current time and date is {time.strftime('%c')}"), # Message( # "system", # f"This reminds you of these events from your past:\n{relevant_memory}\n\n", diff --git a/autogpt/memory/message_history.py b/autogpt/memory/message_history.py index b89004adab9..fcb96a94d13 100644 --- a/autogpt/memory/message_history.py +++ b/autogpt/memory/message_history.py @@ -182,9 +182,7 @@ def update_running_summary(self, new_events: list[Message]) -> Message: """ ''' - prompt = ChatSequence.for_model( - cfg.fast_llm_model, [Message("user", prompt)] - ) + prompt = ChatSequence.for_model(cfg.fast_llm_model, [Message("user", prompt)]) self.agent.log_cycle_handler.log_cycle( self.agent.config.ai_name, self.agent.created_at, From 590a0daa325eb43841f6b5338cbb8bbb1aebdad4 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 18:36:30 +0200 Subject: [PATCH 49/54] Fix AgentManager singleton issues in tests --- tests/test_agent_manager.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/tests/test_agent_manager.py b/tests/test_agent_manager.py index 57787b379dc..4b0a01bcd2d 100644 --- a/tests/test_agent_manager.py +++ b/tests/test_agent_manager.py @@ -7,9 +7,8 @@ @pytest.fixture def agent_manager(): # Hack, real gross. Singletons are not good times. - if AgentManager in AgentManager._instances: - del AgentManager._instances[AgentManager] - return AgentManager() + yield AgentManager() + del AgentManager._instances[AgentManager] @pytest.fixture @@ -37,28 +36,28 @@ def mock_create_chat_completion(mocker): return mock_create_chat_completion -def test_create_agent(agent_manager, task, prompt, model): +def test_create_agent(agent_manager: AgentManager, task, prompt, model): key, agent_reply = agent_manager.create_agent(task, prompt, model) assert isinstance(key, int) assert isinstance(agent_reply, str) assert key in agent_manager.agents -def test_message_agent(agent_manager, task, prompt, model): +def test_message_agent(agent_manager: AgentManager, task, prompt, model): key, _ = agent_manager.create_agent(task, prompt, model) user_message = "Please translate 'Good morning' to French." agent_reply = agent_manager.message_agent(key, user_message) assert isinstance(agent_reply, str) -def test_list_agents(agent_manager, task, prompt, model): +def test_list_agents(agent_manager: AgentManager, task, prompt, model): key, _ = agent_manager.create_agent(task, prompt, model) agents_list = agent_manager.list_agents() assert isinstance(agents_list, list) assert (key, task) in agents_list -def test_delete_agent(agent_manager, task, prompt, model): +def test_delete_agent(agent_manager: AgentManager, task, prompt, model): key, _ = agent_manager.create_agent(task, prompt, model) success = agent_manager.delete_agent(key) assert success From a2eebfb746eceb20b5fa65e47c400de92341d853 Mon Sep 17 00:00:00 2001 From: Auto-GPT-Bot Date: Thu, 25 May 2023 16:40:48 +0000 Subject: [PATCH 50/54] Add new cassettes --- .../test_browse_website.yaml | 345 ++++++++++++++++++ .../test_write_file/test_write_file.yaml | 142 +++++++ 2 files changed, 487 insertions(+) diff --git a/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml b/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml index 82f29ea099a..d85f58451a6 100644 --- a/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml +++ b/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml @@ -2932,4 +2932,349 @@ interactions: status: code: 200 message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read a file, + args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get hyperlinks, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created"}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I need to use the browse_website + command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book. I will then write the price to a file named + browse_website.txt. I can then use the task_complete command to complete the + task.\",\n \"reasoning\": \"I need to use the browse_website command + to visit the website and find the price of the book. I will then use the write_to_file + command to write the price to a file named browse_website.txt. Finally, I can + use the task_complete command to complete the task.\",\n \"plan\": \"- + Use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book\\n- Use the write_to_file command to write the + price to a file named browse_website.txt\\n- Use the task_complete command to + complete the task\",\n \"criticism\": \"I need to ensure that I am using + the correct URL and question for the browse_website command. I also need to + make sure that I am writing the correct information to the file.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book. Then, I will write the price to a file named browse_website.txt + and complete the task.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Answer gathered from website: a + description of the book \"Meditations\" by Marcus Aurelius, which is available + for purchase on a demo website for web scraping purposes. The price of the book + is \u00a325.89, but the website warns that the prices and ratings are randomly + assigned and have no real meaning. The book offers spiritual reflections and + exercises developed by the Roman emperor and philosopher, covering topics such + as moral virtue, human rationality, and divine providence. It is considered + one of the greatest works of philosophy and has been admired by thinkers and + readers throughout history.\n\nLinks: [''Books to Scrape (http://books.toscrape.com/index.html)'', + ''Home (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '6625' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA7yTz47TMBDG7zzFaM5p1aZ/ts0RpIWCtDeEEFlVrjNtvI09kT1VK6o8DW/CkyEn + 7ZYNhz0gOHo+z/f9bI/PaArMUJdKtK2rwd2nxYe32/cT9/3B3fP9x3df03Q5qZ8evkxrhwny5om0 + XDqGmm1dkRiOkvakhArMxvPFbDRJ79JlgpYLqjDDXS2DyXA2kIPf8GA0GY0xwUNQO8LsjLVnW8ta + eE8uYDaeztMEb+bPQjqaJigsqrrtnc/nTYK6ZKMpYPbtjJbC1dhzRZihCsEEUU4iJjshF49wzh0A + QI5S8mFXSsgxg0vxItBJYjHHFTiiAoTh6I0QSElQe6MJeNsuNsz7KCvYmorAKUsFbDwfA62PtAlG + aCgnGcIKtHJwCJ1H67YWXrddmq1Vro0pGKQ0YZhj8juRJxXYGbfrY71q+JfcPY66Uq5DGMDnfxvd + S9beiNEm2P4NWLUnCAcfk5TACpRtk43btXGavSctYNyWvVVxsGJblNr8FjZ2PldMgA3F9stog3Ev + nCrWrU3/ckJNan/FO5qq+g+v0+U3yXWmL95/jHS06NBesPROoPyu/xs6Ie69WbzyWP1P9PNHOhsu + llfYFvjCnbsGmwS3xplQrrspxwyDcI0JGlfQCbNR89i8+QUAAP//AwCyRmy9sgQAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccf36013a42e263-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 16:39:14 GMT + Function-Execution-Id: + - 7njtbtazvrkm + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '24187' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 42bd6e754fdb81fbdbf7f541a3157eb5;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '85948' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.701s + X-Request-Id: + - 171382cee7e5f0e366e927f414c29dc6 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read a file, + args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get hyperlinks, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created"}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I need to use the browse_website + command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book. I will then write the price to a file named + browse_website.txt. I can then use the task_complete command to complete the + task.\",\n \"reasoning\": \"I need to use the browse_website command + to visit the website and find the price of the book. I will then use the write_to_file + command to write the price to a file named browse_website.txt. Finally, I can + use the task_complete command to complete the task.\",\n \"plan\": \"- + Use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book\\n- Use the write_to_file command to write the + price to a file named browse_website.txt\\n- Use the task_complete command to + complete the task\",\n \"criticism\": \"I need to ensure that I am using + the correct URL and question for the browse_website command. I also need to + make sure that I am writing the correct information to the file.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book. Then, I will write the price to a file named browse_website.txt + and complete the task.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Answer gathered from website: a + description of the book \"Meditations\" by Marcus Aurelius, which is available + for purchase on a demo website for web scraping purposes. The price of the book + is \u00a325.89, but the website warns that the prices and ratings are randomly + assigned and have no real meaning. The book offers spiritual reflections and + exercises developed by the Roman emperor and philosopher, covering topics such + as moral virtue, human rationality, and divine providence. It is considered + one of the greatest works of philosophy and has been admired by thinkers and + readers throughout history.\n\nLinks: [''Books to Scrape (http://books.toscrape.com/index.html)'', + ''Home (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I need to write the price of the book to a file named + browse_website.txt. I can use the write_to_file command to do this.\",\n \"reasoning\": + \"I need to use the write_to_file command to write the price of the book to + a file named browse_website.txt.\",\n \"plan\": \"- Use the write_to_file + command to write the price of the book to a file named browse_website.txt\",\n \"criticism\": + \"I need to make sure that I am writing the correct information to the file + and that the file is being created in the correct location.\",\n \"speak\": + \"I will use the write_to_file command to write the price of the book to a file + named browse_website.txt.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": + {\n \"filename\": \"browse_website.txt\",\n \"text\": + \"\u00a325.89\"\n }\n }\n}"}, {"role": "system", "content": "Command + write_to_file returned: File written to successfully."}, {"role": "user", "content": + "Determine which next command to use, and respond using the format specified + above:"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '7789' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA7xSzY7aQAy+9yksnycoFLHQHFeqVNRDVal7qJoKmYlJppnMpDMO7Bbl3atAWCh7 + qLSHvdr+/mwf0BSYoa5IdNPaZPF5+an6/ucL7VaV2//edfcP9dePwRfzjqeo0G9+sZYRMdG+aS2L + 8Q4V6sAkXGA2vVvO09n7xd1UYeMLtphh2Uoym8wT6cLGJ+ksHci6SCVjdsA2+KaVtfiaXcRsukiX + Ci/kl8Z8qlC8kL2UlvMPvUJdeaM5YvbjgA3HM3HwljFDitFEISeDTe+E3RDhkDsAgByl8l1ZScwx + g7E4NvhRhmKOK6hoxzB64gKkYhCKtYLoYQWaHHSRn8vr8+QAacgVIB5i1QkUfu+OY1Syk0mO6lox + MEXvjCvfVra15E6KCTy8gu+GTgcjRpvYnFM45iO0oZohdmFQIIEX8chacKyHA4ano4MIG976wEdV + Ma78T5LYMtVn2b2x9rX7OZH26vwkI+DFjzhq+KT3j8CNLQrl7XtdH/xE8I1ifbWM2OlhE9vO2qdn + Q0dTo7fc9dgr3BpnYrU+MWGGUXyLCo0r+BGztP/Zv/sLAAD//wMALZ5nXucDAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccf36c92fb722fa-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 16:39:39 GMT + Function-Execution-Id: + - 7njt0mzkp188 + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '17401' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - d0d343b2f33248c38a47163422c00cd4;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '85944' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.704s + X-Request-Id: + - a2db2b95003d08c1babcd0d729b2a380 + status: + code: 200 + message: OK version: 1 diff --git a/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml b/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml index 6220d857ae0..62fd173da12 100644 --- a/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml +++ b/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml @@ -1634,4 +1634,146 @@ interactions: status: code: 200 message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are write_to_file-GPT, an AI designed to use the write_to_file command to write + ''Hello World'' into a file named \"hello_world.txt\" and then use the task_complete + command to complete the task.\nYour decisions must always be made independently + without seeking user assistance. Play to your strengths as an LLM and pursue + simple strategies with no legal complications.\n\nGOALS:\n\n1. Use the write_to_file + command to write ''Hello World'' into a file named \"hello_world.txt\".\n2. + Use the task_complete command to complete the task.\n3. Do not use any other + commands.\n\n\nConstraints:\n1. ~4000 word limit for short term memory. Your + short term memory is short, so immediately save important information to files.\n2. + If you are unsure how you previously did something or want to recall past events, + thinking about similar events will help you remember.\n3. No user assistance\n4. + Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. + append_to_file: Append to file, args: \"filename\": \"\", \"text\": + \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. + list_files: List Files in Directory, args: \"directory\": \"\"\n4. + read_file: Read a file, args: \"filename\": \"\"\n5. write_to_file: + Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: + Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List + GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created"}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I need to use the write_to_file + command to write ''Hello World'' into a file named ''hello_world.txt''.\",\n \"reasoning\": + \"The task requires me to write ''Hello World'' into a file named ''hello_world.txt'', + and the write_to_file command is the appropriate command for this task.\",\n \"plan\": + \"- Use the write_to_file command to write ''Hello World'' into a file named + ''hello_world.txt''.\",\n \"criticism\": \"I need to ensure that I use + the correct filename and text to write to the file.\",\n \"speak\": \"I + will use the write_to_file command to write ''Hello World'' into a file named + ''hello_world.txt''.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": + {\n \"filename\": \"hello_world.txt\",\n \"text\": \"Hello + World\"\n }\n }\n}"}, {"role": "system", "content": "Command write_to_file + returned: File written to successfully."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '4608' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA7RSTY/TMBC98ytGc+nFrdIt3W1z3gMFhEAsAomgynWmialjB3uyLVT57yhfSlm+ + tBLcrHkzb94bvzPqFGNUuWRVlGZ682K1Wbrs9e559u0N3Z5kulqsX76yiw/7p7co0O0+k+J+YqZc + URpi7SwKVJ4kU4rx/Hq1jBZXN6ulwMKlZDDGrOTpYraccuV3bhotojkKrILMCOMzlt4VJW/ZHcgG + jOfRfC1wJB+B9bVAdizNWLqaL2uBKndaUcD44xkLCgOxd4YwRhmCDiwtNzKdZbKNhXNiAQAS5NxV + Wc4hwRj6Yg/QiZtighvI5T1BqJSiEPaVMV/h6DUzWZg8I2McvHfepBPQlh1I2GtDYGVBKUzyBt8e + G3zGJ57M4C4nsHRiUK4opE2BHVSBQAdgGQ7b3js19fGdU4vOEhSXKj3J4Ky2WSf1rm8DT18q7SlA + 0fI0cunxYqGVl5P9hRB4q60i+NNx2LXtzQbRvv6Z7dJI2zmewrsw9o0sF1v+yqa8Zq10KIb/tkTt + JNlQ+WZOMmyg9O5epwQSuqvD3vmBXNvst/ShJHkYqI/amNb3oyV3lLUYktu3/xTc5i+7bT/QPxAl + ffYw85eJ+h/JHyy0Nno3ia2xFrjXVod82+3GGAO7EgVqm9IJ46j+VD/5DgAA//8DAEzr6k6uBAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccf375fc9d722fa-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 16:40:09 GMT + Function-Execution-Id: + - 7njtjm585176 + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '23074' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - a109cbb5ab4df2d87027b8c5f8164ec6;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '86005' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.663s + X-Request-Id: + - be08be2b323450d07d6f732efe93b0a2 + status: + code: 200 + message: OK version: 1 From 5401560e440a8ac5ffcb0f7986d987e8d19ca8dd Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 18:45:01 +0200 Subject: [PATCH 51/54] Empty commit to trigger stupid CI From ff8e16dddb64aa5f1ad62e330e8214630ead7f7e Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 20:13:36 +0200 Subject: [PATCH 52/54] Reset cassettes for regeneration --- .../test_browse_website.yaml | 1683 +++--- .../test_write_file/test_write_file.yaml | 758 +-- .../test_memory_challenge_a.yaml | 4779 ----------------- .../test_json_memory_get_relevant.yaml | 2359 -------- 4 files changed, 817 insertions(+), 8762 deletions(-) delete mode 100644 tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml delete mode 100644 tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml diff --git a/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml b/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml index d85f58451a6..82a4f1fae79 100644 --- a/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml +++ b/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml @@ -781,16 +781,17 @@ interactions: commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. list_files: List Files in - Directory, args: \"directory\": \"\"\n4. read_file: Read file, args: - \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": - \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: - \"url\": \"\", \"question\": \"\"\n7. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: - Get text summary, args: \"url\": \"\"\n9. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List - GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + Directory, args: \"directory\": \"\"\n4. read_file: Read text from + file, args: \"filename\": \"\"\n5. read_raw_file: Read file, args: + \"filename\": \"\"\n6. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n7. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n8. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n9. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n10. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n11. list_agents: List + GPT Agents, args: () -> str\n12. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n13. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n14. task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File @@ -807,26 +808,8 @@ interactions: \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created."}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find - the price of the book.\",\n \"reasoning\": \"The task requires me to - find the price of the book on the website. The browse_website command can be - used to visit the website and find the price.\",\n \"plan\": \"- Use - the browse_website command to visit the website\\n- Find the price of the book\\n- - Write the price to a file named ''browse_website.txt''\\n- Use the task_complete - command to complete the task\",\n \"criticism\": \"I need to ensure that - I am using the correct URL and question to find the price of the book.\",\n \"speak\": - \"I will use the browse_website command to visit the website and find the price - of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": - {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": - \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Error: unknown error: cannot find - Chrome binary"}, {"role": "user", "content": "Determine which next command to - use, and respond using the format specified above:"}], "temperature": 0, "max_tokens": - 0}' + "user", "content": "Determine which next command to use, and respond using the + format specified above:"}], "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -835,7 +818,7 @@ interactions: Connection: - keep-alive Content-Length: - - '5216' + - '3843' Content-Type: - application/json method: POST @@ -843,23 +826,22 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7RUTW/bSAy991cQvPQiy3Yct4UuC+wC2QYoWqBIURTVwhiNaIub0Yw6pOIYgf97 - MZKdD2+7QQ89akg+vvdI6g65xgJtY9S2nZu8fmvlbz/fXfRXby52fv3n1bz6IPzl/UW3fI0Zhupf - snqoyG1oO0fKwWOGNpJRqrGYv3pzfr5YLl6dZ9iGmhwWuOl0ssiXE+1jFSazxWyOGfZiNoTFHXYx - tJ2uNFyTFyzm8+VZhg/g94Gz5SxDDWrcQ+757GyfoW0CWxIsvt5hS3IEjsERFmhEWNR4TTSDV/JJ - wl3pAQBK1Cb0m0alxAIOj4cA3Wp6LPGqIahi2AqttlQJK4ENbWt8DWvDjmqoyJpeCFjBGu+Dwpp9 - DdoQ/NXE0BJU7E3c5XAJW3YONO6gF/abIWdDukrtVtK3rYm7e3gND0BdZEsQ1sNHFcJ1XmL2mHAk - I8Gz3zzLOtK3niMJmKf0Ur+KgL2ocY7qDLYN2wZYIGkyN4adqVzKAG1YgPwNx+Bb8prD1f8pscYn - 6F7oGVWw5TQSPZBMFpmDjniquHPGj2In8EnoWS9vWFiHrKMjwwx/yqUs/QQ+x5T4ENcABtbsCLxp - qYaXT03O9VZfDoVHRmrkenVYaHpM5/7tmHUiz0ZWtiztqPESPI3ukZc+pjKjcAmmfbRKNsRIVuHT - x3eDuG89STqjX1sl6chcH7sOC9v/BnvzEsem++x4jQe0/xxjsnrkc0rghLmJm9NTHgN9dCNAo9oV - 02kiILkGsdF0lP5mU2vUuLDpadpSzWqSb7JaLKbsa7rNG23dk24j8NHhEf1zmgnLjwX/cRQ8iD5o - L/0e9xmu2bM0q/GIsUDR0GGGQ2ssZvt/9i++AwAA//8DAG09GqWwBQAA + H4sIAAAAAAAAA6RTWW/bMAx+368g+Oxcc0+/DMOAohk2DOhWFMM8BIrMxFos0ZXotkCQ/z7IR490 + xa5XUvwukVs0BWaoSyXa1tXoeP75402wh9Oz91fl/BNxffrOfL04P7+4OXuLCfLyB2npJ8aabV2R + GHaYoPakhArMZkcnB0dpmk5PE7RcUIUZrmsZpePDkTR+yaNpOp1hgk1Qa8Jsi7VnW8tCeEMuYHZy + dJDgA/Z9/XV6nKCwqOq+NJtNZ7sEdclGU8Ds2xYthQHXc0WYoQrBBFFOokp2Qi462OYOACBHKblZ + lxJyzKAv9g26k1jMcQ63pqqgCQRSEiw93wZa3NIyGCHQbK1yBQjDjQlGoBSps8lkybwJY+Ggvaop + pjXRSlTF64YmlgojKvoLizSdGFfQ3bgUW0GEWpmIVxLU3mgCXnW8zJtxjsljkZ5UYGfculP6pSQQ + FTbg6boxngJYehCmYND8axLVUcCXl02a0EmhIMB11A8r9iBlbKjwTF9dKddJG8HlH+YX3/TNPHcj + OHsxjbZ95SPKQ18YFKxMReCUpWKPbix30o4NaqLqRb9uT8Tc14ZXe9a0N2K0CXZYEkfUDpILjY9j + SmAOykITjFu3MJq9Jy1wefGh/YPrhkIbovBffHqoSW3+aTUfRfv7Resod8lwKT3as0OJMXdqntLv + qVZ+vX9kXaPxVTf+X4fzhK0DHtLt0K/if/T7+8zum8Fua7l3nrsd7hJcGWdCuehODTMMwjUm2FJj + Nt193736CQAA//8DACZ8z49JBQAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c963de149c8b8ae-AMS + - 7ca91e8ac9064698-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -869,7 +851,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 18 May 2023 18:43:09 GMT + - Sun, 21 May 2023 01:42:07 GMT Server: - cloudflare access-control-allow-origin: @@ -879,9 +861,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '25048' + - '17407' openai-version: - '2020-10-01' strict-transport-security: @@ -893,49 +875,87 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '86472' + - '86494' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.352s + - 2.337s x-request-id: - - c38dc2fc0c0a33984683e20fbad19f14 + - 6a4242e99f4553aa4f1643eba393a92e status: code: 200 message: OK - request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text; include any information that can be - used to answer the question \"What is the price of the book?\". Do not directly - answer the question itself:\n\n\nLITERAL TEXT: \"\"\"Meditations | Books to - Scrape - Sandbox\nBooks to Scrape We love being scraped!\nHome\nBooks\nPhilosophy\nMeditations\nMeditations\n\u00c2\u00a325.89\nIn - stock (1 available)\nWarning! This is a demo website for web scraping purposes. - Prices and ratings here were randomly assigned and have no real meaning.\nProduct - Description\nWritten in Greek, without any intention of publication, by the - only Roman emperor who was also a philosopher, the Meditations of Marcus Aurelius - (AD 121-180) offer a remarkable series of challenging spiritual reflections - and exercises developed as the emperor struggled to understand himself and make - sense of the universe. Ranging from doubt and despair to conviction and ex Written - in Greek, without any intention of publication, by the only Roman emperor who - was also a philosopher, the Meditations of Marcus Aurelius (AD 121-180) offer - a remarkable series of challenging spiritual reflections and exercises developed - as the emperor struggled to understand himself and make sense of the universe. - Ranging from doubt and despair to conviction and exaltation, they cover such - diverse topics as the nature of moral virtue, human rationality, divine providence, - and Marcus'' own emotions. But while the Meditations were composed to provide - personal consolation and encouragement, in developing his beliefs Marcus Aurelius - also created one of the greatest of all works of philosophy: a timeless collection - of extended meditations and short aphorisms that has been consulted and admired - by statesmen, thinkers and readers through the centuries. ...more\nProduct Information\nUPC4f19709e47883df5\nProduct - TypeBooks\nPrice (excl. tax)\u00c2\u00a325.89\nPrice (incl. tax)\u00c2\u00a325.89\nTax\u00c2\u00a30.00\nAvailability\nIn - stock (1 available)\nNumber of reviews\n0\nProducts you recently viewed\nThe - Nicomachean Ethics\n\u00c2\u00a336.34\nIn stock\nAdd to basket\nRun, Spot, Run: - The ...\n\u00c2\u00a320.02\nIn stock\nAdd to basket\nCritique of Pure Reason\n\u00c2\u00a320.75\nIn - stock\nAdd to basket\nAt The Existentialist Caf\u00c3\u00a9: ...\n\u00c2\u00a329.93\nIn - stock\nAdd to basket\nKierkegaard: A Christian Missionary ...\n\u00c2\u00a347.13\nIn - stock\nAdd to basket\nProofs of God: Classical ...\n\u00c2\u00a354.21\nIn stock\nAdd - to basket\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], "temperature": - 0, "max_tokens": 0}' + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read text from + file, args: \"filename\": \"\"\n5. read_raw_file: Read file, args: + \"filename\": \"\"\n6. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n7. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n8. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n9. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n10. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n11. list_agents: List + GPT Agents, args: () -> str\n12. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n13. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n14. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created and nothing new has happened."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I will use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book.\",\n \"reasoning\": \"The task requires + me to visit a website and find the price of a book. The browse_website command + is the best option for this task.\",\n \"plan\": \"- Use the browse_website + command to visit the website\\n- Find the price of the book\\n- Write the price + to a file named browse_website.txt\\n- Use the task_complete command to complete + the task\",\n \"criticism\": \"I need to ensure that I am using the correct + URL and question to find the price of the book.\",\n \"speak\": \"I will + use the browse_website command to visit the website and find the price of the + book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Answer gathered from website: The + price of the book \"Meditations\" is \u00a325.89, according to the text. \n + \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home + (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -944,7 +964,7 @@ interactions: Connection: - keep-alive Content-Length: - - '2659' + - '5726' Content-Type: - application/json method: POST @@ -952,18 +972,21 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1RPS47TQBDdc4pSrTtRgvP1jgVoJDRIiBEsmNGo3K7YnWl3WV3lmCHKabgJJ0MO - nxHb939nDDWW6Fsy3/Vxtr3xelzdHbfvVx+3h/347sv3D3fx7fDJLzaf0aFUR/b2xzH30vWRLUhC - hz4zGddYLje71apYF/vCYSc1Ryyx6W1WzNczG3Ils0WxWKLDQalhLM/YZ+l6ezR54qRYrjc7hy/Z - L/jSoYlR/IdslvuLQ99K8KxYfj1jx/o3NUtkLJFUgxolmzZKMk7TfoKa1efQTw0gB7CWoRJ5gnu8 - 5ToYTYTeI1TPcEvZDwpvhswxDOpgbINvISjQiUKkKjIcJEM/ZN+SMki65o1cabDfHEGfg+ep6ueP - 1+v5bj+HGxn5xNn9Jx4pJwVrya7w1aVAqYZMFlKjQJkhU6qli88w3WsS11dFSyeGJJCZInRMKaRm - jheHh5CCto+ZSSVhiWrSo8OQav6G5eLycHn1CwAA//8DAN9t5KwLAgAA + H4sIAAAAAAAAA7xTwW7bMAy97ysInp0gids09X3AAmzFsHWneTAUmbG12KIr0UiKIF+zP9mXDbKd + pMk6YJftJIiP7/GREvdockxQl0p03VSju+Xnh4flu2fVal3NP759mtx84u3D++LpZlFhhLz6TloG + xlhz3VQkhi1GqB0poRyT6XxxM4/jOL6LsOacKkywaGQUj29H0roVjybxZIoRtl4VhMkeG8d1I5nw + hqzHZDpb3Ed4Fj8Bs1kcobCo6px7O50dItQlG00ek697rMkfhR1XhAkq740XZSXYZCtkQwv71AIA + pCglt0UpPsUEhuAA0E5CMMUlbE1VQesJpCTYOiOUCWdrUxFormtlcxDugS6lcUYT8Lq7rJg3AVbQ + EayqKYeV462nbEsrb4TGspNxitHL+o6UZ2ts0Zt4LAlE+Q04emqNIw81/XXRMTz+0bjxPYG8ADdh + 5LBmB1IGQPnNta+mUra3NIIv/3YkaWrPNYKXbPgXFzVOsWPWlWHtjBhtfH18TUvUEcn61gWaEliC + qju3xhadkGbnSAsYu2ZXq24uwh3Uee6KB+YpYjysKNCHZQBjL5RyEw52z9cT9Q2pzX/+an39Q3Rc + g0H7ty0IEr21Cy9XHShXXC9QD4Tcs8QrL/xS53rvHl9tL01T/EC5ke5NfLiG0f/8MbsdL+5PrXXt + DV2m9oCHCNfGGl9m/WJhgl64wQiNzWmHyeTw7fDmFwAAAP//AwCokLGBEwUAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c963e964a10b8ae-AMS + - 7ca91f359ed74698-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -973,7 +996,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 18 May 2023 18:43:18 GMT + - Sun, 21 May 2023 01:42:34 GMT Server: - cloudflare access-control-allow-origin: @@ -983,9 +1006,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '5190' + - '17203' openai-version: - '2020-10-01' strict-transport-security: @@ -997,13 +1020,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '88897' + - '86479' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 734ms + - 2.346s x-request-id: - - ba5144dbb670adade6451c523c7a919f + - 84c51f54f3ea6c17ef641028a950b098 status: code: 200 message: OK @@ -1027,16 +1050,17 @@ interactions: commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. list_files: List Files in - Directory, args: \"directory\": \"\"\n4. read_file: Read file, args: - \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": - \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: - \"url\": \"\", \"question\": \"\"\n7. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: - Get text summary, args: \"url\": \"\"\n9. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List - GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + Directory, args: \"directory\": \"\"\n4. read_file: Read text from + file, args: \"filename\": \"\"\n5. read_raw_file: Read file, args: + \"filename\": \"\"\n6. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n7. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n8. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n9. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n10. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n11. list_agents: List + GPT Agents, args: () -> str\n12. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n13. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n14. task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File @@ -1053,45 +1077,46 @@ interactions: \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created."}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find - the price of the book.\",\n \"reasoning\": \"The task requires me to - find the price of the book on the website. The browse_website command can be - used to visit the website and find the price.\",\n \"plan\": \"- Use - the browse_website command to visit the website\\n- Find the price of the book\\n- - Write the price to a file named ''browse_website.txt''\\n- Use the task_complete - command to complete the task\",\n \"criticism\": \"I need to ensure that - I am using the correct URL and question to find the price of the book.\",\n \"speak\": - \"I will use the browse_website command to visit the website and find the price - of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": - {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": - \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Error: unknown error: cannot find - Chrome binary"}, {"role": "user", "content": "Determine which next command to - use, and respond using the format specified above:"}, {"role": "assistant", - "content": "{\n \"thoughts\": {\n \"text\": \"The browse_website command - failed because it cannot find the Chrome binary. I will try using the get_text_summary - command to find the price of the book.\",\n \"reasoning\": \"The browse_website - command requires a Chrome binary to be installed, which is not available in - this environment. The get_text_summary command can be used to find the price - of the book without requiring a browser.\",\n \"plan\": \"- Use the get_text_summary - command to visit the website and find the price of the book\\n- Write the price - to a file named ''browse_website.txt''\\n- Use the task_complete command to - complete the task\",\n \"criticism\": \"I need to ensure that I am using - the correct URL and question to find the price of the book.\",\n \"speak\": - \"I will use the get_text_summary command to visit the website and find the - price of the book.\"\n },\n \"command\": {\n \"name\": \"get_text_summary\",\n \"args\": + "system", "content": "This reminds you of these events from your past: \nAs + a system, I recall that nothing new has happened since my creation."}, {"role": + "user", "content": "Determine which next command to use, and respond using the + format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I will use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book.\",\n \"reasoning\": \"The task requires + me to visit a website and find the price of a book. The browse_website command + is the best option for this task.\",\n \"plan\": \"- Use the browse_website + command to visit the website\\n- Find the price of the book\\n- Write the price + to a file named browse_website.txt\\n- Use the task_complete command to complete + the task\",\n \"criticism\": \"I need to ensure that I am using the correct + URL and question to find the price of the book.\",\n \"speak\": \"I will + use the browse_website command to visit the website and find the price of the + book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command get_text_summary returned: \"Result\" : a description of - the book \"Meditations\" by Marcus Aurelius, which is available for purchase - on the website for a price of \u00a325.89. However, the website warns that the - prices and ratings are randomly assigned and have no real meaning."}, {"role": - "user", "content": "Determine which next command to use, and respond using the - format specified above:"}], "temperature": 0, "max_tokens": 0}' + "content": "Command browse_website returned: Answer gathered from website: The + price of the book \"Meditations\" is \u00a325.89, according to the text. \n + \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home + (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I will use the write_to_file command to write the price + of the book to a file named browse_website.txt.\",\n \"reasoning\": \"The + task requires me to write the price of the book to a file. The write_to_file + command is the best option for this task.\",\n \"plan\": \"- Use the + write_to_file command to write the price of the book to a file named browse_website.txt\\n- + Use the task_complete command to complete the task\",\n \"criticism\": + \"I need to ensure that I am writing the correct information to the file and + that the file is being created in the correct directory.\",\n \"speak\": + \"I will use the write_to_file command to write the price of the book to a file + named browse_website.txt.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": + {\n \"filename\": \"browse_website.txt\",\n \"text\": + \"The price of the book \\\"Meditations\\\" is \u00a325.89.\"\n }\n }\n}"}, + {"role": "system", "content": "Command write_to_file returned: File written + to successfully."}, {"role": "user", "content": "Determine which next command + to use, and respond using the format specified above:"}], "temperature": 0, + "max_tokens": 0}' headers: Accept: - '*/*' @@ -1100,7 +1125,7 @@ interactions: Connection: - keep-alive Content-Length: - - '6857' + - '7014' Content-Type: - application/json method: POST @@ -1108,21 +1133,20 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA6yTv27bMBDG9z7F4ZYssiDHcW1rzBSjHVIgRYeqECjqLDEWSYE8wS4MP03fpE9W - ULIjx+mQAh15f777feTxgKrEFGUtWOq2mSwepG+re+2WX+4XT48PhVgKfnzem2Tx+RNGaItnknzq - iKXVbUOsrMEIpSPBVGI6/bi8u5vNZ6tVhNqW1GCKVcuTWTyfcOcKO0lmyRQj7LyoCNMDts7qlnO2 - WzIe0+ndah7hKP6SuE3mEbJl0Yy1iyQ5RihrqyR5TL8fUJM/CzvbEKYovFeeheGAaQ2TCRYOmQEA - yJBr21U1+wxTOAVPCdpzCGb4VBNUxHmI5L7TWrifIK3WwpTgiDtnqAQBJXnpVBuowW6Aa4LC2i2E - snBonZIUwxp2qmlg5xTTGAe2IGCjGgIjNJVwUzi785TvqPCKKeY938QZRpeMjoS3RpnqHaC18CPs - OPYCNIYg0HPlbPOe5dwthYGCoPOh2f4X+LYRZuCewLcrvcvre492lpkJfPWDBAu/zU8bNDpgCy+x - c9UVkXSKlVReD1hrMDTYJeM7F9oEwxqE7v0rU/VC0jpHkkGZjXVa9M/Ptk8F6mvbviWxPQ/46yb8 - q/k4w2HAMTpv9cn0m6UOIsPsV898hShcdf0fhkSoHSXeorzSuf5Gv3/dzuPl6gzbA5+4M3PEY4Qb - ZZSv82GrMUXPtsUIlSlpj2ly/HH88AcAAP//AwCDP9g9tAQAAA== + H4sIAAAAAAAAA6SSTY/TQAyG7/wKy+ekapWmQbmxEkKVFi4sJ4Kq6cTNDE1mwtiBRVX+O0qTfhCW + A+Jqv378+uOEtsQctVGim7aOs+3HD8ZKpxN5fGi3b8vs3eN7eZM9bMJ6hRH6/VfSMlUstG/amsR6 + hxHqQEqoxHy1eb3eJEmSZhE2vqQac6xaiZNFGksX9j5eJssB1rGqCPMTtsE3rezEH8kx5qt0s4zw + Br8l1mmE4kXVt1C2TPsItfFWE2P++YQN8QUcfE2Yo2K2LMrJYNM7ITeMcCocAECBYnxXGeECc5iC + U4KeZQgWuIUftq6hYwIxBKL4uJsMEmjfNMqVIB6usYtqUWB0jwyk2DvrqpH7NMkg0LfOBmJo6GUO + PP21r+WzbE8s4NthY3DwAcQMiRc8tLVyY/sYPv3zRDOYDlasttxcFuWIzoXkuAtDmRLYglHf6coq + rzDgTmtiPnR1/RPOLQe9GAoEKhA4DxSCDzwfgltSx/8/zojso8svTPI/XsGphsZuv+FnplSo5l90 + f/bZzY1i2BO5u73cr+Pq7uxwMlq4HvsID9ZZNrsRizmy+BYjtK6kZ8yX/Zf+1S8AAAD//wMAuHh6 + B9sDAAA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c963ebe8fd4b8ae-AMS + - 7ca91fb59c034698-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -1132,7 +1156,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 18 May 2023 18:43:38 GMT + - Sun, 21 May 2023 01:42:48 GMT Server: - cloudflare access-control-allow-origin: @@ -1142,9 +1166,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '18626' + - '10952' openai-version: - '2020-10-01' strict-transport-security: @@ -1156,49 +1180,64 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '86452' + - '86470' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.364s + - 2.352s x-request-id: - - 4bea82722ea12e33ad14ff7124a05279 + - 0ef8ce2546c5b3d3cc369a42739b0303 status: code: 200 message: OK - request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text; include any information that can be - used to answer the question \"What is the price of the book?\". Do not directly - answer the question itself:\n\n\nLITERAL TEXT: \"\"\"Books to Scrape We love - being scraped!\nHome\nBooks\nPhilosophy\nMeditations\nMeditations\n\u00a325.89\nIn - stock (1 available)\nWarning! This is a demo website for web scraping purposes. - Prices and ratings here were randomly assigned and have no real meaning.\nProduct - Description\nWritten in Greek, without any intention of publication, by the - only Roman emperor who was also a philosopher, the Meditations of Marcus Aurelius - (AD 121-180) offer a remarkable series of challenging spiritual reflections - and exercises developed as the emperor struggled to understand himself and make - sense of the universe. Ranging from doubt and despair to conviction and ex Written - in Greek, without any intention of publication, by the only Roman emperor who - was also a philosopher, the Meditations of Marcus Aurelius (AD 121-180) offer - a remarkable series of challenging spiritual reflections and exercises developed - as the emperor struggled to understand himself and make sense of the universe. - Ranging from doubt and despair to conviction and exaltation, they cover such - diverse topics as the nature of moral virtue, human rationality, divine providence, - and Marcus'' own emotions. But while the Meditations were composed to provide - personal consolation and encouragement, in developing his beliefs Marcus Aurelius - also created one of the greatest of all works of philosophy: a timeless collection - of extended meditations and short aphorisms that has been consulted and admired - by statesmen, thinkers and readers through the centuries. ...more\nProduct Information\nUPC4f19709e47883df5\nProduct - TypeBooks\nPrice (excl. tax)\u00a325.89\nPrice (incl. tax)\u00a325.89\nTax\u00a30.00\nAvailability\nIn - stock (1 available)\nNumber of reviews\n0\nProducts you recently viewed\nThe - Nicomachean Ethics\n\u00a336.34\nIn stock\nAdd to basket\nRun, Spot, Run: The - ...\n\u00a320.02\nIn stock\nAdd to basket\nCritique of Pure Reason\n\u00a320.75\nIn - stock\nAdd to basket\nAt The Existentialist Caf\u00e9: ...\n\u00a329.93\nIn - stock\nAdd to basket\nKierkegaard: A Christian Missionary ...\n\u00a347.13\nIn - stock\nAdd to basket\nProofs of God: Classical ...\n\u00a354.21\nIn stock\nAdd - to basket\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], "temperature": - 0, "max_tokens": 0}' + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read a file, + args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get text summary, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "user", "content": "Determine which next command to use, and respond using the + format specified above:"}], "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -1207,7 +1246,7 @@ interactions: Connection: - keep-alive Content-Length: - - '2552' + - '3769' Content-Type: - application/json method: POST @@ -1215,20 +1254,22 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1RQ22oUQRB99yuKep5dNtlLsvMmKIokIiKCGgk1PbXblfR0NV09s1nCfo1/4pfJ - TEzE13PqXOo8orRYo/NUXJfC7OK9O2yb7fcSroYoZ9/uPpy/+3j1tvivny7eYIXa3LErfxVzp10K - XEQjVugyU+EW67PN5Wq1XG8W6wo7bTlgjftUZsv5elb63OhssVycYYW90Z6xfsSUtUvltug9R8N6 - vVpX+M/7Bb/cVli0UHhBNsvVqULnVRwb1j8esWN7ds0aGGskM7FCsYwdNRaOY3+Cls1lSWMC6A6K - Z2hU7+EGr7mVQiNhNwjNEa4pu97gdZ85SG8VHLw4D2JAA0mgJjDsNEPqs/NkDBphDOgUDtyYlCf6 - wA2Yy5Qk7sfbpMY2hy+eIWVx/F8NMfj963w9v9xW0PRlIp7NDpSjQfH0BE9iA4otZCoS9waUGTLF - VrtwhHGBfeR2uvA0MESFzBSgY4oS908dpljd7TgbWJIspacAmXeB3TTGpOcHzk6MDVoeOGjidpxo - 7PFZO4rAXeKseTpOXoKaJs+5AqcD5/H1okmcgfXOAxl0minAILn0XIHvR5M8zU9ByrGanFoZJI6v - 6iAtR8dzPFW4kyjmbzOTacQarWjCCiW2/ID14vTz9OoPAAAA//8DAON57pHiAgAA + H4sIAAAAAAAAA6RTWW8TMRB+51eM5nlztNsj2hdeUEVBCAkClWBR5DiTXZO1Z2vPNkVR/jvyHj3S + ViB4nfF8l2d2aFaYoS6VaFtXo/PL+cer2c27D81b/ZVuTPrmYv7Zfnpfnl5ffMMEefmTtPQTY822 + rkgMO0xQe1JCK8yOzmYnZ+n58elxgpZXVGGGRS2jdHw6ksYveTRNp0eYYBNUQZjtsPZsa1kIb8gF + zGYnZwneY9/Vj9NZgsKiqrvS0XR2sk9Ql2w0Bcy+79BSGHA9V4QZqhBMEOUkqmQn5KKDXe4AAHKU + kpuilJBjBn2xb9CtxGKOl7A1VQVNIJCSYOl5G2ixpWUwQqDZWuVWIAw3JhiBUqTOJpMl8yaMhYP2 + qqaY1kQrURUXDU0srYyo6C8s0nRi3Ipux6XYCiLU2kS8kqD2RhPwuuNl3oxzTB6K9KQCO+OKTum8 + JBAVNuDpujGeAli6F6Zg0Pw8ieooYP6ySRM6KRQEuI76Yc0epIwNFZ7oqyvlOmkj+PKX+cU3fTPP + 3QguXkyjbV/5iHLfFwYFa1MROGVpdUA3lltpxwY1UfWiX7dHYu5qw6sDa9obMdoEOyyJI2oHyYXG + xzElcAnKgtK68Uqo+tWGblzxvJ32W7YR1hUQg+C2pdl70tJ6Osw31KQ2/7SlD1L+8851lPtkOJoe + 7cnNxMQ7NY/pD1QrXxzeW9dofNWN/9cNPWLrgK8bCvFlh34Vv6Zf5Sd2Xw92W8u989ztcZ/g2jgT + ykV3dZhhEK4xwZYas+n+x/7VbwAAAP//AwDGzdwhVAUAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c9643c72ef50e88-AMS + - 7ca97ecb9fe4aa52-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -1238,7 +1279,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 18 May 2023 18:46:55 GMT + - Sun, 21 May 2023 02:47:51 GMT Server: - cloudflare access-control-allow-origin: @@ -1248,9 +1289,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '9613' + - '18748' openai-version: - '2020-10-01' strict-transport-security: @@ -1262,13 +1303,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '88914' + - '86493' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 724ms + - 2.338s x-request-id: - - 8f109408157b8f136e14558880a9db0d + - 3d788f38f42c530a90c82003462a6088 status: code: 200 message: OK @@ -1292,8 +1333,8 @@ interactions: commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. list_files: List Files in - Directory, args: \"directory\": \"\"\n4. read_file: Read file, args: - \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + Directory, args: \"directory\": \"\"\n4. read_file: Read a file, + args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: \"url\": \"\", \"question\": \"\"\n7. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: @@ -1319,30 +1360,25 @@ interactions: \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This reminds you of these events from your past: \nI was - created."}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find - the price of the book.\",\n \"reasoning\": \"The task requires me to - find the price of the book on the website. The browse_website command can be - used to visit the website and find the price.\",\n \"plan\": \"- Use - the browse_website command to visit the website\\n- Find the price of the book\\n- - Write the price to a file named ''browse_website.txt''\\n- Use the task_complete - command to complete the task\",\n \"criticism\": \"I need to ensure that - I am using the correct URL and question to find the price of the book.\",\n \"speak\": + created and nothing new has happened."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I will use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book.\",\n \"reasoning\": \"The task requires + me to visit a website and find the price of a book. The browse_website command + is the best option for this task.\",\n \"plan\": \"- Use the browse_website + command to visit the website\\n- Find the price of the book\\n- Write the price + to a file named browse_website.txt\\n- Use the task_complete command to complete + the task\",\n \"criticism\": \"I need to ensure that I am accurately + finding the price of the book and writing it to the correct file.\",\n \"speak\": \"I will use the browse_website command to visit the website and find the price of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Answer gathered from website: a - description of the book \"Meditations\" by Marcus Aurelius, which is available - for purchase on a demo website for web scraping purposes. The price of the book - is \u00a325.89, but the website warns that the prices and ratings are randomly - assigned and have no real meaning. The book offers spiritual reflections and - exercises developed by the Roman emperor and philosopher, covering topics such - as moral virtue, human rationality, and divine providence.\n\nLinks: [''Books - to Scrape (http://books.toscrape.com/index.html)'', ''Home (http://books.toscrape.com/index.html)'', - ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + "content": "Command browse_website returned: Answer gathered from website: The + price of the book \"Meditations\" is \u00a325.89, according to the text. \n + \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home + (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, {"role": "user", "content": "Determine which next command to use, and respond @@ -1355,7 +1391,7 @@ interactions: Connection: - keep-alive Content-Length: - - '6014' + - '5663' Content-Type: - application/json method: POST @@ -1363,21 +1399,21 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7yTzW7bMAzH73sKgpdenCCJ81VfhwErih2GZqd5MGSZsdVYkisxSIogT7M32ZMN - sp1kSTdgl+1kiB9//kiTB1QFJigrwVI39WDxUe4eX5eP6ilerBd6+mlcfnh+au4/v6wm7zFCmz+T - 5D5jKK1uamJlDUYoHQmmApPxfDmdxrP5eB6htgXVmGDZ8CAezga8dbkdjOLRGCPcelESJgdsnNUN - Z2w3ZDwm4zheRHgRPzsmk1GEbFnUl9jZbHGMUFZWSfKYfD2gJn8SdrYmTFB4rzwLwwHTGiYTWjik - BgAgRa7stqzYp5hAb+wdtOdgTPEBdqquYesJuCLYOcWUsc3WqiaQVmthCmDbOdqQxilJYNftI7d2 - E9wC2gQjNBVwlzu785TtKPeKach7vhumGP1K4Eh4a5QpO4xVRcDCb8DRy1Y58qDpr8sOYfVHdCkM - 5BT6+20bF40bvqYWpkMbwJd/PZw0NZcqYQxZvyNXVc62U9QNsnSKlVRen/6soa5pMn7rQppgeACh - W15lylZIWudIMiiztk6LsJYhJ7ha6rZ4yDxblIf+JECZK41ChY91r7fT9A2JzX9fuI7gGJ3OoVd/ - cw1BpIO7ornpQbjy9pA6R4i9SLxFudK5vb8f3yez4fL+BNsC99ypOeIxwrUyyldZdzCYoGfbYITK - FLTHZHT8dnz3EwAA//8DAJA5RdDtBAAA + H4sIAAAAAAAAA7xTS47TQBDdc4pWrR0r/8n4BlkgAcqwACOr067YTeyunu4KCYp8Gm7CyVDbTjIx + g8QGll2fV+9VvzqDziEBVUpWta1GD+vNu/H3p0/Wfis+KLKz+W5ZT8bmef9+9hEioO1XVNx3xIpq + WyFrMhCBcigZc0gmy9V8OXuYrqYR1JRjBQkUlkezeDHig9vSaDwbTyCCg5cFQnIG66i2nDHt0XhI + JtOHaQQ38GtiOplFwMSyutXOV4smAlWSVugh+XyGGv0F2FGFkID0XnuWhgNNMowmSDinRgghUuCS + DkXJPoVE9ME+gScOwRTW4qirShw8Ci5RHJ1mzJiyna5QKKpraXLB1CXaEuu0QkG79rEl2oe0FG2D + kTXmYuvo6DE74tZrxphPHKcQvZzvUHoy2hQdiU2JgqXfC4fPB+3Qixr/emgsNn8krn3XgJ4F2bBy + sSMnuAwJ6fdDXraSpqM0Ek//diVpam4zApes98XdjGvsUjUgrJxmrbSvL79pENtGNP7gQptksRay + btlqU7RAipxDxT1vprtgu9PBGG9R7v+zYbr5TXQxc4/9m5cDREftjstAgXTF8Ay6RKi9QbzyTy9x + htezeVVemqbwFnPNMjjOh2dw4s8f00W8erxKa+X1KlPTQBPBThvty6w7D0jAM1mIQJscT5CMmy/N + m18AAAD//wMAPgHgstkEAAA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c96440b6a710e88-AMS + - 7ca97f864bbaaa52-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -1387,7 +1423,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 18 May 2023 18:47:18 GMT + - Sun, 21 May 2023 02:48:18 GMT Server: - cloudflare access-control-allow-origin: @@ -1397,9 +1433,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '21751' + - '16649' openai-version: - '2020-10-01' strict-transport-security: @@ -1411,13 +1447,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '86458' + - '86476' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.36s + - 2.348s x-request-id: - - bc954dbc7e89fabf2dcd4980e7f4bb6b + - 4d1406ff152a336596f376c293ea4356 status: code: 200 message: OK @@ -1441,8 +1477,8 @@ interactions: commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. list_files: List Files in - Directory, args: \"directory\": \"\"\n4. read_file: Read file, args: - \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + Directory, args: \"directory\": \"\"\n4. read_file: Read a file, + args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: \"url\": \"\", \"question\": \"\"\n7. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: @@ -1467,50 +1503,45 @@ interactions: \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created."}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find - the price of the book.\",\n \"reasoning\": \"The task requires me to - find the price of the book on the website. The browse_website command can be - used to visit the website and find the price.\",\n \"plan\": \"- Use - the browse_website command to visit the website\\n- Find the price of the book\\n- - Write the price to a file named ''browse_website.txt''\\n- Use the task_complete - command to complete the task\",\n \"criticism\": \"I need to ensure that - I am using the correct URL and question to find the price of the book.\",\n \"speak\": + "system", "content": "This reminds you of these events from your past: \nAs + a system, I recall that nothing new has happened since my creation."}, {"role": + "user", "content": "Determine which next command to use, and respond using the + format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I will use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book.\",\n \"reasoning\": \"The task requires + me to visit a website and find the price of a book. The browse_website command + is the best option for this task.\",\n \"plan\": \"- Use the browse_website + command to visit the website\\n- Find the price of the book\\n- Write the price + to a file named browse_website.txt\\n- Use the task_complete command to complete + the task\",\n \"criticism\": \"I need to ensure that I am accurately + finding the price of the book and writing it to the correct file.\",\n \"speak\": \"I will use the browse_website command to visit the website and find the price of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Answer gathered from website: a - description of the book \"Meditations\" by Marcus Aurelius, which is available - for purchase on a demo website for web scraping purposes. The price of the book - is \u00a325.89, but the website warns that the prices and ratings are randomly - assigned and have no real meaning. The book offers spiritual reflections and - exercises developed by the Roman emperor and philosopher, covering topics such - as moral virtue, human rationality, and divine providence.\n\nLinks: [''Books - to Scrape (http://books.toscrape.com/index.html)'', ''Home (http://books.toscrape.com/index.html)'', - ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + "content": "Command browse_website returned: Answer gathered from website: The + price of the book \"Meditations\" is \u00a325.89, according to the text. \n + \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home + (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, {"role": "user", "content": "Determine which next command to use, and respond using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"I will use the write_to_file command to write the price - of the book to a file named ''browse_website.txt''.\",\n \"reasoning\": - \"The task requires me to write the price of the book to a file. The write_to_file - command can be used to write the price to a file.\",\n \"plan\": \"- - Use the write_to_file command to write the price of the book to a file named - ''browse_website.txt''\\n- Use the task_complete command to complete the task\",\n \"criticism\": - \"I need to ensure that I am writing the correct information to the file and - that the file is created in the correct directory.\",\n \"speak\": \"I - will use the write_to_file command to write the price of the book to a file - named ''browse_website.txt''.\"\n },\n \"command\": {\n \"name\": - \"write_to_file\",\n \"args\": {\n \"filename\": \"browse_website.txt\",\n \"text\": - \"\u00a325.89\"\n }\n }\n}"}, {"role": "system", "content": "Command - write_to_file returned: File written to successfully."}, {"role": "user", "content": - "Determine which next command to use, and respond using the format specified - above:"}], "temperature": 0, "max_tokens": 0}' + of the book to a file named browse_website.txt.\",\n \"reasoning\": \"The + task requires me to write the price of the book to a file. The write_to_file + command is the best option for this task.\",\n \"plan\": \"- Use the + write_to_file command to write the price of the book to a file named browse_website.txt\\n- + Use the task_complete command to complete the task\",\n \"criticism\": + \"I need to ensure that I am writing the correct price to the correct file.\",\n \"speak\": + \"I will use the write_to_file command to write the price of the book to a file + named browse_website.txt.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": + {\n \"filename\": \"browse_website.txt\",\n \"text\": + \"The price of the book \\\"Meditations\\\" is \u00a325.89.\"\n }\n }\n}"}, + {"role": "system", "content": "Command write_to_file returned: File written + to successfully."}, {"role": "user", "content": "Determine which next command + to use, and respond using the format specified above:"}], "temperature": 0, + "max_tokens": 0}' headers: Accept: - '*/*' @@ -1519,7 +1550,7 @@ interactions: Connection: - keep-alive Content-Length: - - '7237' + - '6893' Content-Type: - application/json method: POST @@ -1527,20 +1558,20 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA6RSTY/TQAy98yssX/aSVP3eNkcuwIELWrRCBFWTiZMMTcZhxlEqVfnvKE3aLF2Q - QBzn2X5+b/zOaFKMUBdKdFWX4eN73R4/nrLi+Xm/fPdlt/nECyON32d69xYD5OQ7aRknZpqruiQx - bDFA7UgJpRgttrv1erXZrpcBVpxSiRHmtYSr2SaUxiUczlfzBQbYeJUTRmesHVe1HISPZD1Gi81+ - H+BEPhW2ywCFRZUT9LhddAHqgo0mj9HXM1bkr8SOS8IIlffGi7LSy2QrZHsL59gCAMQoBTd5IT7G - CEZwLNBJejDGD9CasoTGE0hBIMofD6NAAs1VpWwKwnDDrl2zGIOXlI6UZ2tsPvA+jW3g6EdjHHmo - 6Lc8oDIhB60zYmx+gWtnNAFnl0fCfOwHFWSmpBk8/VGlVhYS6q38neK6VHYQG8Lnf/Z/R6Z7/dr4 - 6vqtlgYZZH3j+jElk2fjb4QptEaKS0mzc6QFhq+8l+trUsf/P9pA2QXXjIztryJiVUXDtl/o70Qp - l9+n62Ucpiy8vmmhPCRE9nJ6ITsdGfrdKTwkjltPh5YSb4RmcpKHm4GLidFLbDvsAsyMNb44DJsx - Qi9cY4DGpnTCaN596978BAAA//8DAJ9FFeoWBAAA + H4sIAAAAAAAAA6SST4/aQAzF7/0Uls8BQVNYlFv/qV21anuAU1OhYeIkUyYz6dgRrFC+ezUQFkp3 + D1Wvz/abn5/ngKbADHWtRDetHd3dL799+rJil3743NWrj++rt/bN69LXX989KEzQb36SlmFirH3T + WhLjHSaoAymhArPpfPFqnt6lk5cJNr4gixlWrYzS8WwkXdj40SSdTDHBjlVFmB2wDb5pZS1+S44x + m87SNMGL+VVhlqB4UfYizReLPkFde6OJMft+wIb4bBy8JcxQMRsW5SRieifk4gqH3AEA5Ci176pa + OMcMBnEo0F6imOM97Iy10DGB1ASieLseAAm0bxrlChAPj9q5a5xjcm0ZSLF3xlUn3+XQBoF+dSYQ + Q0NP+8Dy2XcNH9s2xAK+jYlB6QNIHQtPMLRWudPzI1j980Y3ZjoYMdpwcw7KER0HyXEX4piSx9mI + ejYsgDutibnsrH24ZeSW1Pb/sz9Z9sn51EP7X5d2qqHTa3/Y30CpUN1+kuur3pzUl1AaVxhXHYna + YDRF8Xgr77cQuXcxPleBkbiCgtJYgkhTwCb4HdN6Rxs2QmPZC9SKYUPkng/xQtYPu+euxz7B0jjD + 9fpEihmy+BYTNK6gPWaT/kf/4jcAAAD//wMAIpbLTA0EAAA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c9644ac79500e88-AMS + - 7ca980030d3daa52-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -1550,7 +1581,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 18 May 2023 18:47:38 GMT + - Sun, 21 May 2023 02:48:34 GMT Server: - cloudflare access-control-allow-origin: @@ -1560,9 +1591,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '16194' + - '12093' openai-version: - '2020-10-01' strict-transport-security: @@ -1574,13 +1605,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '86463' + - '86473' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.358s + - 2.351s x-request-id: - - c4db367fe0ea78e879df9aca01bd14e0 + - 81d7a2ac6b212febaeab4f26aa26f84a status: code: 200 message: OK @@ -1630,8 +1661,26 @@ interactions: \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "user", "content": "Determine which next command to use, and respond using the - format specified above:"}], "temperature": 0, "max_tokens": 0}' + "system", "content": "This reminds you of these events from your past: \nI was + created and nothing new has happened."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I will use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book.\",\n \"reasoning\": \"The task requires + me to visit a website and find the price of a book. The browse_website command + is the best option for this task.\",\n \"plan\": \"- Use the browse_website + command to visit the website\\n- Find the price of the book\\n- Write the price + to a file named browse_website.txt\\n- Use the task_complete command to complete + the task\",\n \"criticism\": \"I need to ensure that I am accurately + finding the price of the book and writing it to the correct file.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Error: Service /home/ntindle/.wdm/drivers/edgedriver/linux64/113.0.1774.50/msedgedriver + unexpectedly exited. Status code was: 127"}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}], + "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -1640,7 +1689,7 @@ interactions: Connection: - keep-alive Content-Length: - - '3769' + - '5322' Content-Type: - application/json method: POST @@ -1648,22 +1697,22 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA6RTS2/bMAy+71cQPDvvNA18GYYCHXLvUGDzECgyY6uxRVeimxRB/vsgP/pIW3TY - rqT4vUQe0aQYo86V6LIqBperx9V8fJld+OlVZfw1L6cPh+93029XP6sdRsibO9LSTQw1l1VBYthi - hNqREkoxniyW88uLxXiyiLDklAqMMatkMBteDKR2Gx6MZ+MJRlh7lRHGR6wcl5WshXdkPcbL+SLC - Z+yn+nS2jFBYVPFUmoyX81OEOmejyWP864gl+R7XcUEYo/LeeFFWgkq2QjY4OCYWACBBybnOcvEJ - xtAVuwYdJBQTXMHeFAXUnkBygo3jvaf1njbeCIHmslQ2BWF4MN4I5CJVPBptmHd+KOy1UxWFtEZa - iSo4q2lUUmpEBX9+PZuNjE3pMMylLCBAbU3AywkqZzQBb1te5t0wweilSEfKszU2a5Xe5ASi/A4c - 3dfGkYeSnoUp6DW/T6JaCrj52KTxrRTyAlwF/bBlB5KHhvJv9FWFsq20Afz4y/zCm66ZJHYA1x+m - 0bRvXUB57guDgq0pCKwqKT2jG8pBmrFeTVC97tbtlZinWv/qzJp2Row2vuyXxBI1g2R97cKYEliB - KkFpXTslVDw2oRubvW+n+ZZ9gLUZhCC4aWl2jrQ0ns7z9RWp3T9t6YuUP9+5lvIU9UfTob25mZB4 - q+Y1/Zlq5bLze2sbtSva8f+6oVdsLfB9TT68bNFvw9d0q/zG7tfebmO5c57YE54i3BprfL5urw5j - 9MIVRthQYzw+/T59+QMAAP//AwDhAovLVAUAAA== + H4sIAAAAAAAAA5SUS2/bMAzH7/sUBM9O0jSPFr4MPRRDsGHYgBY9zIUhy4ytRQ9XopsUQb77IDtp + unTrupNh8fX/UaS2qEpMUdaCpWn04GJxe/ddu3b9+GX6aaX52/WsuP76cGGuruafMUFX/CTJ+4ih + dKbRxMpZTFB6EkwlpuP55XQ+Hc8u5wkaV5LGFKuGB5PhbMCtL9zgbHI2xgTbICrCdIuNd6bhnN2K + bMB0PL6cJXhM/mw4n54nyI6FPvpOzy92CcraKUkB0x9bNBQOib3ThCmKEFRgYTnKdJbJRoRtZgEA + MuTatVXNIcMU9od7A204HmZ4UxMU3q0D5WsqgmIC6YwRtoSlUJrKISxgrbQG9k/QBmUr4JqgIs5j + ljy0xgj/9BzFDpYqfmuCxitJ4JbdT+Hcaphh8lKHJxGcVbZ6p5gEgoMFWKKuUJQkoFTLJXmy/E4N + cPOWfiksFARtoBd5aMPgLAjYyzrlaLSwPcIAbgP9s0OPKijuvA6cHeNfNWeZHcCdj45HOzsQsFSa + wApD5UnnhrzhLuygh0VY5fvZo5dins8OXidw0itWUgXTEx7bTza0PoYJhgUIA0LK1gsm/dSxHGbl + FU5Hu45pbQWxEa4zSec9Se6YTjscGhKr/5uSbmrbd9zGm/Pai9glh53ax71aqXgHvb7TUickwlen + C9kbWq/7BDVzk45GUUAYsgvSi4bimzSSgoV2VUsjQ6ViER+RkE8mI2VL2gxrNvq3an3ih5ZC9Oyz + 38XrUuHPwB8PwB30nj2zO9wluFRWhTrvdxZTDOwaTLArjenZ7n734RcAAAD//wMAvH/zPXYFAAA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7cb4d24d68020a53-AMS + - 7ca9e89b8ab13aa6-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -1673,7 +1722,7 @@ interactions: Content-Type: - application/json Date: - - Mon, 22 May 2023 11:47:23 GMT + - Sun, 21 May 2023 04:00:06 GMT Server: - cloudflare access-control-allow-origin: @@ -1683,9 +1732,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '27358' + - '19886' openai-version: - '2020-10-01' strict-transport-security: @@ -1697,49 +1746,49 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '86493' + - '86473' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.338s + - 2.351s x-request-id: - - d5959e6fcd6fab831a9728caf25aeb4e + - 3276bb0cfa73c4b663d9cbc978df06d8 status: code: 200 message: OK - request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text; include any information that can be - used to answer the question \"What is the price of the book?\". Do not directly - answer the question itself:\n\n\nLITERAL TEXT: \"\"\"Books to Scrape We love - being scraped! Home Books Philosophy Meditations Meditations \u00a325.89 In - stock (1 available) Warning! This is a demo website for web scraping purposes. - Prices and ratings here were randomly assigned and have no real meaning. Product - Description Written in Greek, without any intention of publication, by the only - Roman emperor who was also a philosopher, the Meditations of Marcus Aurelius - (AD 121-180) offer a remarkable series of challenging spiritual reflections - and exercises developed as the emperor struggled to understand himself and make - sense of the universe. Ranging from doubt and despair to conviction and ex Written + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "\"\"\"Meditations + | Books to Scrape - Sandbox Books to Scrape We love being scraped! Home Books + Philosophy Meditations Meditations \u00c2\u00a325.89 In stock (1 available) + Warning! This is a demo website for web scraping purposes. Prices and ratings + here were randomly assigned and have no real meaning. Product Description Written in Greek, without any intention of publication, by the only Roman emperor who was also a philosopher, the Meditations of Marcus Aurelius (AD 121-180) offer a remarkable series of challenging spiritual reflections and exercises developed as the emperor struggled to understand himself and make sense of the universe. - Ranging from doubt and despair to conviction and exaltation, they cover such - diverse topics as the nature of moral virtue, human rationality, divine providence, - and Marcus'' own emotions. But while the Meditations were composed to provide - personal consolation and encouragement, in developing his beliefs Marcus Aurelius - also created one of the greatest of all works of philosophy: a timeless collection - of extended meditations and short aphorisms that has been consulted and admired - by statesmen, thinkers and readers through the centuries. ...more Product Information - UPC4f19709e47883df5 Product TypeBooks Price (excl. tax)\u00a325.89 Price (incl. - tax)\u00a325.89 Tax\u00a30.00 Availability In stock (1 available) Number of - reviews 0 Products you recently viewed The Nicomachean Ethics \u00a336.34 In - stock Add to basket Run, Spot, Run: The ... \u00a320.02 In stock Add to basket - Critique of Pure Reason \u00a320.75 In stock Add to basket At The Existentialist - Caf\u00e9: ... \u00a329.93 In stock Add to basket Kierkegaard: A Christian Missionary - ... \u00a347.13 In stock Add to basket Proofs of God: Classical ... \u00a354.21 - In stock Add to basket\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized - as"}], "temperature": 0, "max_tokens": 0}' + Ranging from doubt and despair to conviction and ex Written in Greek, without + any intention of publication, by the only Roman emperor who was also a philosopher, + the Meditations of Marcus Aurelius (AD 121-180) offer a remarkable series of + challenging spiritual reflections and exercises developed as the emperor struggled + to understand himself and make sense of the universe. Ranging from doubt and + despair to conviction and exaltation, they cover such diverse topics as the + nature of moral virtue, human rationality, divine providence, and Marcus'' own + emotions. But while the Meditations were composed to provide personal consolation + and encouragement, in developing his beliefs Marcus Aurelius also created one + of the greatest of all works of philosophy: a timeless collection of extended + meditations and short aphorisms that has been consulted and admired by statesmen, + thinkers and readers through the centuries. ...more Product Information UPC4f19709e47883df5 + Product TypeBooks Price (excl. tax)\u00c2\u00a325.89 Price (incl. tax)\u00c2\u00a325.89 + Tax\u00c2\u00a30.00 Availability In stock (1 available) Number of reviews 0 + Products you recently viewed The Nicomachean Ethics \u00c2\u00a336.34 In stock + Add to basket Run, Spot, Run: The ... \u00c2\u00a320.02 In stock Add to basket + Critique of Pure Reason \u00c2\u00a320.75 In stock Add to basket At The Existentialist + Caf\u00c3\u00a9: ... \u00c2\u00a329.93 In stock Add to basket Kierkegaard: A + Christian Missionary ... \u00c2\u00a347.13 In stock Add to basket Proofs of + God: Classical ... \u00c2\u00a354.21 In stock Add to basket\"\"\" Using the + above text, answer the following question: \"What is the price of the book?\" + -- if the question cannot be answered using the text, summarize the text."}], + "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -1748,7 +1797,7 @@ interactions: Connection: - keep-alive Content-Length: - - '2507' + - '2513' Content-Type: - application/json method: POST @@ -1756,21 +1805,16 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA1SSy24bMQxF9/0KQuuxYTdxHrMr0KJNgWyCLPpIEWgkzoi1RlRJjR0jyNf0T/pl - hSaJi+4EPi7vPdCjIW9a44ItbsxxcX51uHKI5bKn6duXzwf52t/s1h9/3b7/9IFNY7j7ia68bCwd - jzliIU6mMU7QFvSmXZ9dnJ5vzlabVWNG9hhNa4ZcFifLzaJM0vFidbJam8ZMagc07aPJwmMu94W3 - mNS0m9VpY/5pH+vr9aoxhYuNx9LZ+vSpMS4wOVTTfn80I+qrrHBE0xqrSlpsKtUkp4KpBrDgUZ1Q - rieAeygBoWPewp25Rk/F1obeGegOcG3FTQrvJsFIkzawD+QCkILdWYq2iwg9C+RJXLCKwAnqgZFh - j51SeW7vsQN1YjOloc5mVtQl3AaELOTwPxuk8Of3283y4rKBbipz41VsbyUplGCfy/Oygk0exBZK - g4IVBLHJ8xgPUAkMCf08EewOITEI2ggj2kRpePYwn+W+R1HQTEJlshEE+4huhjHv4wOKI0UFjzuM - nNFXRNXHDY82AY4ZhWUezoEiK+eA0oDjHUqNXjiTU9DJBbAKI4uNsCMpEzYQpioiM34bqRyaWcnT - jlKNyjvymBwu4apUSI6TkkdBD5yOCIf5N2qBPctWa/Vo5fCCQaFDTGD9SPKagdK2pp9JovX1XYLw - NASeCgTSwnJYmqfG9JRIw72gVU6mNVo4m8ZQ8vhg2tXTj6c3fwEAAP//AwAnyfrFXQMAAA== + H4sIAAAAAAAAA0SQz0rDQBjE7z7FMudNSPonrXsTvYh4EUWslbLdfG3WJvvF7BcQSi6+im+iLyYB + tddh5jfDHOFLGLjKimvaOllcPzy+VSSHfEWr+mYf+4urVV/cXT5FaaHB21dy8ptIHTdtTeI5QMN1 + ZIVKmLxYzopZXuQTjYZLqmGwbyWZpvNE+m7LSTbNcmj00e4J5oi246aVjfCBQoSZZwuNE/tfzxca + wmLrk3MyGzRcxd5RhHk+oqH4R+24JhjYGH0UG2TcyEEojPvvK1Jt5x0p3impSG2ZD2qNWyq92LE2 + rqF8VN8fX5+Tebo8TzFo7Hzwsdp0ZCMHGETh8RYfSnqHyYaX4ewHAAD//wMAOjJCwlMBAAA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7cb4d3254b710a53-AMS + - 7ca9e93b3d3f3aa6-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -1780,7 +1824,7 @@ interactions: Content-Type: - application/json Date: - - Mon, 22 May 2023 11:47:43 GMT + - Sun, 21 May 2023 04:00:13 GMT Server: - cloudflare access-control-allow-origin: @@ -1790,9 +1834,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '12171' + - '1488' openai-version: - '2020-10-01' strict-transport-security: @@ -1804,92 +1848,22 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '88914' + - '89406' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 724ms + - 396ms x-request-id: - - d3c3ff73573fdb38af94657d1660f9b6 + - bedfb6b35a4e92788980583f517796cd status: code: 200 message: OK - request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are browse_website-GPT, an AI designed to use the browse_website command to - visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer - the question ''What is the price of the book?'' and write the price to a file - named \"browse_website.txt\", and use the task_complete command to complete - the task.\nYour decisions must always be made independently without seeking - user assistance. Play to your strengths as an LLM and pursue simple strategies - with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer - the question ''What is the price of the book?''\n2. Write the price of the book - to a file named \"browse_website.txt\".\n3. Use the task_complete command to - complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. - ~4000 word limit for short term memory. Your short term memory is short, so - immediately save important information to files.\n2. If you are unsure how you - previously did something or want to recall past events, thinking about similar - events will help you remember.\n3. No user assistance\n4. Exclusively use the - commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append - to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: - Delete file, args: \"filename\": \"\"\n3. list_files: List Files in - Directory, args: \"directory\": \"\"\n4. read_file: Read a file, - args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": - \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: - \"url\": \"\", \"question\": \"\"\n7. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: - Get text summary, args: \"url\": \"\"\n9. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List - GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created"}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find - the price of the book.\",\n \"reasoning\": \"The task requires me to - visit a website and find the price of a book. The browse_website command is - the best option for this task.\",\n \"plan\": \"- Use the browse_website - command to visit the website\\n- Find the price of the book\\n- Write the price - to a file named browse_website.txt\\n- Use the task_complete command to complete - the task\",\n \"criticism\": \"I need to ensure that I am accurately - finding the price of the book and writing it to the correct file.\",\n \"speak\": - \"I will use the browse_website command to visit the website and find the price - of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": - {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": - \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Answer gathered from website: a - description of the book \"Meditations\" by Marcus Aurelius, which is available - for purchase on a demo website for web scraping purposes. The price of the book - is \u00a325.89, but the website warns that the prices and ratings are randomly - assigned and have no real meaning. The book offers spiritual reflections and - exercises developed by the Roman emperor and philosopher, covering topics such - as moral virtue, human rationality, and divine providence. It is considered - one of the greatest works of philosophy and has been admired by thinkers and - readers throughout history.\n\nLinks: [''Books to Scrape (http://books.toscrape.com/index.html)'', - ''Home (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', - ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', - '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "\"\"\"The + price of the book \"Meditations\" is \u00c2\u00a325.89.\"\"\" Using the above + text, answer the following question: \"What is the price of the book?\" -- if + the question cannot be answered using the text, summarize the text."}], "temperature": + 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -1898,7 +1872,7 @@ interactions: Connection: - keep-alive Content-Length: - - '6130' + - '344' Content-Type: - application/json method: POST @@ -1906,21 +1880,16 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7yTzY7TMBDH7zyFNec0Sj/SLTlyq7QSWmkRKxEUuc4kMU08qT2hXao8DW/Ck6F8 - dLsNIHGBo+c/85+fx+Mz6BQiUIVkVdXl7G77vD3cB0/Zfabd4vD0NX3/8JB/+/i8oc078IB2X1Dx - WOErquoSWZMBD5RFyZhCNF9vVnfhOlivPKgoxRIiyGueLf1wxo3d0SxYBnPwoHEyR4jOUFuqak6Y - 9mgcRPNluPLgav4iLIKFB0wsy2tuGK5bD1RBWqGD6NMZKnQXY0slQgTSOe1YGu4wyTCa7grn2Agh - RAxcUJMX7GKIxBgcBTxxF4xhK466LEXjUHCB4mg1Y8KUZLpEoaiqpEkF0yD0KbXVCgVl/WFHtO9k - KfoCIytMxc7S0WFyxJ3TjD6f2I/Be93fonRktMkHiMcCBUu3FxYPjbboRIV/3dQXj38E124oQMeC - 6m7kIiMruOgE6fZTrrqUZkCaiQ//diRxbK49OpZk3IubHi+xS9YEWFnNWmlXXV7TIPaFaFxjuzLJ - Yitk1dNqk/dGiqxFxSM3002wn+mkjatR7v/zwgz9W++yzKP3L7vcWQxoNyyTG0ibT7/BIHS5V4vf - vNNrn+nv+fF9EfqbtxfYHnjkjk0LrQeZNtoVybDwEIFjqsEDbVI8QRS0n9s3PwEAAP//AwBTe+p4 - qwQAAA== + H4sIAAAAAAAAA0SOwU7CQBRF935Fc9fTprW04Gw1GBfGjaiJGjJMH3SknVc6D0VIv8Y/8csMieL2 + JPfcc4CroGFrI7btmnh8M3vsr2YPm7wo8o/NPuP99HP3Xk/vrp8uocCLN7Lyu0gst11D4thDwfZk + hCrorJyMylFWZrlCyxU10Fh1EudJEcu2X3Cc5mkGhW0wK4I+oOu57WQuvCYfoMtU4V99wlmpICym + OZFxOSjYmp2lAP18QEvhz9lzQ9AwIbggxsuxkL2QP9bf1xR1vbMU8TKSmqIF8zp6wS1VTszxNbwg + ciH6/jovkslFgkFh6bwL9bwnE9hDIwh3UHC+oh10OrwOZz8AAAD//wMAxARqv08BAAA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7cb4d37a4fe60a53-AMS + - 7ca9e94588453aa6-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -1930,7 +1899,7 @@ interactions: Content-Type: - application/json Date: - - Mon, 22 May 2023 11:48:08 GMT + - Sun, 21 May 2023 04:00:15 GMT Server: - cloudflare access-control-allow-origin: @@ -1940,9 +1909,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '23866' + - '1360' openai-version: - '2020-10-01' strict-transport-security: @@ -1954,13 +1923,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '85969' + - '89929' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.686s + - 47ms x-request-id: - - c42f77f6859afd34c9aca7e6268b0567 + - 2b7378cbb7d7fc9fffc316d4318d2f1e status: code: 200 message: OK @@ -2010,14 +1979,14 @@ interactions: \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created"}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I will use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find - the price of the book.\",\n \"reasoning\": \"The task requires me to - visit a website and find the price of a book. The browse_website command is - the best option for this task.\",\n \"plan\": \"- Use the browse_website + "system", "content": "This reminds you of these events from your past: \nAs + a system, I recall that nothing new has happened since my creation."}, {"role": + "user", "content": "Determine which next command to use, and respond using the + format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I will use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book.\",\n \"reasoning\": \"The task requires + me to visit a website and find the price of a book. The browse_website command + is the best option for this task.\",\n \"plan\": \"- Use the browse_website command to visit the website\\n- Find the price of the book\\n- Write the price to a file named browse_website.txt\\n- Use the task_complete command to complete the task\",\n \"criticism\": \"I need to ensure that I am accurately @@ -2026,34 +1995,27 @@ interactions: of the book.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Answer gathered from website: a - description of the book \"Meditations\" by Marcus Aurelius, which is available - for purchase on a demo website for web scraping purposes. The price of the book - is \u00a325.89, but the website warns that the prices and ratings are randomly - assigned and have no real meaning. The book offers spiritual reflections and - exercises developed by the Roman emperor and philosopher, covering topics such - as moral virtue, human rationality, and divine providence. It is considered - one of the greatest works of philosophy and has been admired by thinkers and - readers throughout history.\n\nLinks: [''Books to Scrape (http://books.toscrape.com/index.html)'', - ''Home (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', - ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', - '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I will use the write_to_file command to write the price - of the book to a file named browse_website.txt.\",\n \"reasoning\": \"The - task requires me to write the price of the book to a file. The write_to_file - command is the best option for this task.\",\n \"plan\": \"- Use the - write_to_file command to write the price of the book to a file named browse_website.txt\\n- - Use the task_complete command to complete the task\",\n \"criticism\": - \"I need to ensure that I am writing the correct price to the correct file.\",\n \"speak\": - \"I will use the write_to_file command to write the price of the book to a file - named browse_website.txt.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": - {\n \"filename\": \"browse_website.txt\",\n \"text\": - \"\u00a325.89\"\n }\n }\n}"}, {"role": "system", "content": "Command - write_to_file returned: File written to successfully."}, {"role": "user", "content": - "Determine which next command to use, and respond using the format specified - above:"}], "temperature": 0, "max_tokens": 0}' + "content": "Command browse_website returned: Error: Service /home/ntindle/.wdm/drivers/edgedriver/linux64/113.0.1774.50/msedgedriver + unexpectedly exited. Status code was: 127"}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"The browse_website command failed. I will try using the get_text_summary command + to find the price of the book.\",\n \"reasoning\": \"The browse_website + command failed, so I need to try a different command to find the price of the + book. The get_text_summary command can be used to find text on a website.\",\n \"plan\": + \"- Use the get_text_summary command to visit the website and find the price + of the book\\n- Write the price to a file named browse_website.txt\\n- Use the + task_complete command to complete the task\",\n \"criticism\": \"I need + to ensure that I am accurately finding the price of the book and writing it + to the correct file.\",\n \"speak\": \"The browse_website command failed, + so I will use the get_text_summary command to find the price of the book.\"\n },\n \"command\": + {\n \"name\": \"get_text_summary\",\n \"args\": {\n \"url\": + \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command get_text_summary returned: \"Result\" : The price of the + book \"Meditations\" is \u00a325.89."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}], + "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -2062,7 +2024,7 @@ interactions: Connection: - keep-alive Content-Length: - - '7287' + - '6746' Content-Type: - application/json method: POST @@ -2070,19 +2032,21 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7SSQWvbQBCF7/0Vw5zXxm7s2NatUENVKKWQQqAKZr0aSxuvdoVm5MQY/fciS45d - twm59Dqz8943++aANsUITa7FFKUbzOL91/jT/MuC7+333eb+brekb/xjGevHz0tUGNaPZKSfGJpQ - lI7EBo8KTUVaKMVofDufzKa3o8VHhUVIyWGEWSmDm+F0IHW1DoPRzWiMCmvWGWF0wLIKRSkrCVvy - jNF4upgrPIufG5OZQgmi3bk0m0wbhSYP1hBj9OuABfFJuAqOMELNbFm0lxYzeCHfrnBIPABAgpKH - OsuFE4ygL/YNepa2mGAMud4R9EyUguQEonmrgAPE8GSdg5rppb46PW1nCu1TkACc1wJpePLDBNWl - UUWag7c+69zuehHINcOayF8Yc20MMW9q5/ZH89cdLR+ba2KBULY/+SZE6bTv/Afw892rXImYyoo1 - lovTv3mi4wB5rqtWVMvbyDVTCiZUFRlx+2tILklv/1cmnVGjTofRP/vrLrwuqGP4Q/YKVVfZ9Uld - pt1H3cb873RfgI5QPVviG2wUbqy3nK86JYyQJZSo0PqUnjEaNQ/Nh98AAAD//wMAyE28JtsDAAA= + H4sIAAAAAAAAA7yTTY7bMAyF9z0FwbVtxJOfJj5A0Sxm10EWdWEoMmOrsSVDopMUgU/Tm/RkhWJ7 + EngGaLvpUiT19D2SuqLKMUFZCpZ1U4Ufty87Xqx36/jTKT65eXyK2wsfSlrkz58xQLP/TpKHG5E0 + dVMRK6MxQGlJMOWYxKv1YrWIV/EywNrkVGGCRcPhPFqG3Nq9CWfzWYwBtk4UhMkVG2vqhjM2R9IO + k3ixiQO8i78mnmbLANmwqO61q82qC1CWRklymHy9Yk1uFLamIkxQOKccC80e02gm7S1cUw0AkCKX + pi1KdikmMASHBF3YB1PcQilOBAfT6hy4JGiskgTmcDvsjTlGsIWzqirQ5gxnq5hAMbABAQdVEWhR + Uw57a86OsjPtnWKK+MJRisHjm5aEM1rp4m8fhtYpXdyOBXHmmTPX1rWwP0CauhY692yaKPc4Pdpd + 6d8Jm0roHi6E3UTtkevPymmqQ3hxvQALd8yGodNI7kVeY2PVhEdaxUoqV48dG62Sdq311wTDFkR9 + 8z72ShprSfK9C49BTz217RoSx/+wDf2bXTBu59CJN8vpJXqcm37GJvPSE2phi+le9wlfe5d4ZzaP + OtPv8OXdgadpis+UKxb+1zp/BOXg18+nZbTevFq72RtcprrDLsCD0sqVWb/7mKBj02CASud0wWTW + fes+/AYAAP//AwC6UMqJqgQAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7cb4d42a4c360a53-AMS + - 7ca9e951feb23aa6-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -2092,7 +2056,7 @@ interactions: Content-Type: - application/json Date: - - Mon, 22 May 2023 11:48:28 GMT + - Sun, 21 May 2023 04:00:31 GMT Server: - cloudflare access-control-allow-origin: @@ -2102,9 +2066,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '15368' + - '15888' openai-version: - '2020-10-01' strict-transport-security: @@ -2116,13 +2080,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '85971' + - '86466' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.685s + - 2.356s x-request-id: - - 0819381deb6624b5e98d1a4924005835 + - 91999ea282fe74300a6fe0997f47d86d status: code: 200 message: OK @@ -2144,376 +2108,36 @@ interactions: previously did something or want to recall past events, thinking about similar events will help you remember.\n3. No user assistance\n4. Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append - to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: - Delete file, args: \"filename\": \"\"\n3. list_files: List Files in - Directory, args: \"directory\": \"\"\n4. read_file: Read a file, - args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": - \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: - \"url\": \"\", \"question\": \"\"\n7. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n9. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List - GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "user", "content": "Determine which next command to use, and respond using the - format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - AGENT-MODE: - - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F - AGENT-TYPE: - - Auto-GPT-2023-X-TYPE - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '3767' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA8yU32/TMBDH3/krrHtOf63bKHlBQmJiAx7GNiFEUOS6l8TU8QX7Qoeq/u/ISdOu - YUJsA4nXO9/37vvx2WvQC4hBFZJVWZnB84v3F2/9zHy6ys7U1evL+vry1Xiymk5OLt8cQQQ0/4qK - txVDRWVlkDVZiEA5lIwLiCens+PZ8Wx6Mo6gpAUaiCGveDAdngy4dnMajKfjCURQe5kjxGuoHJUV - p0xLtB7i2fFpBHvtXXwa4kwszS40mbw42kSgCtIKPcSf11Ci73QdGYQYpPfas7QcpiTLaIODdWKF - ECIBLqjOC/YJxGIb3CbwlkMwgXNhEReCSdQeBRco5o5WHtMVzr1mFIrKUtrmxHftNYuCuYpHoznR - 0g+ZvHKywgBspCRLQ3mNoxIXmmWw6NPpdKTtAm+HBZdGBKlMB70CReW0QkFZ25doORTnYqWNCQEr - Vi4MsD/IJKTItEFhZYmL3qRDvuVQr6RtyztDLP0y3UI/8LOLdaeGCUR3MTmUnqy2+WNZhTNd8iHO - O/2GQMqUNq7vyD8GzZm20pgf0ZbR0/FURtqWzEDc/AfbkyR2P8hfRHeg++e4erSU06yV9mV/mdD6 - 2oUyyeJcyFLUXtu8kVHkHCoWNx/eNd6/1egDF5GR+w3usEzSeNq1KOUSRa9L4NDvo21GrmzQh7KQ - CmT6F+8rlMvORrO1/+JBXBdoo+5ZPPzWGv37drh1som6X3I75C+fZBBuTR6K92BIl/c/2DZRO9OW - P2nnD7q1wt0WtOofw41qfz/Fl53dxvLWeWI3sIkg01b7Im0/OYjBM1UQQdMa4vHmy+bZTwAAAP// - AwChi9cmRQcAAA== - headers: - Access-Control-Allow-Origin: - - '*' - Alt-Svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 - Cache-Control: - - no-cache, must-revalidate - Cf-Cache-Status: - - DYNAMIC - Cf-Ray: - - 7cbda08b6f552a30-ORD - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 23 May 2023 13:26:28 GMT - Function-Execution-Id: - - f495ziryd97p - Openai-Model: - - gpt-3.5-turbo-0301 - Openai-Organization: - - significant-gravitas - Openai-Processing-Ms: - - '38742' - Openai-Version: - - '2020-10-01' - Server: - - Google Frontend - Strict-Transport-Security: - - max-age=15724800; includeSubDomains - Vary: - - Accept-Encoding - X-Cloud-Trace-Context: - - b8bc47ef5185ce4a95373f0c7082edca;o=1 - X-Powered-By: - - Express - X-Ratelimit-Limit-Requests: - - '3500' - X-Ratelimit-Limit-Tokens: - - '90000' - X-Ratelimit-Remaining-Requests: - - '3499' - X-Ratelimit-Remaining-Tokens: - - '86494' - X-Ratelimit-Reset-Requests: - - 17ms - X-Ratelimit-Reset-Tokens: - - 2.337s - X-Request-Id: - - 4c3aae2d3631b3ef8fcdba9173076cd3 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are browse_website-GPT, an AI designed to use the browse_website command to - visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer - the question ''What is the price of the book?'' and write the price to a file - named \"browse_website.txt\", and use the task_complete command to complete - the task.\nYour decisions must always be made independently without seeking - user assistance. Play to your strengths as an LLM and pursue simple strategies - with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer - the question ''What is the price of the book?''\n2. Write the price of the book - to a file named \"browse_website.txt\".\n3. Use the task_complete command to - complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. - ~4000 word limit for short term memory. Your short term memory is short, so - immediately save important information to files.\n2. If you are unsure how you - previously did something or want to recall past events, thinking about similar - events will help you remember.\n3. No user assistance\n4. Exclusively use the - commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append - to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: - Delete file, args: \"filename\": \"\"\n3. list_files: List Files in - Directory, args: \"directory\": \"\"\n4. read_file: Read a file, - args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": - \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: - \"url\": \"\", \"question\": \"\"\n7. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n9. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List - GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created and nothing new has happened."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}, - {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I need to use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html - and find the price of the book. I will then write the price to a file named - browse_website.txt. I can then use the task_complete command to complete the - task.\",\n \"reasoning\": \"I need to use the browse_website command - to visit the website and find the price of the book. I will then use the write_to_file - command to write the price to a file named browse_website.txt. Finally, I can - use the task_complete command to complete the task.\",\n \"plan\": \"- - Use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html - and find the price of the book\\n- Use the write_to_file command to write the - price to a file named browse_website.txt\\n- Use the task_complete command to - complete the task\",\n \"criticism\": \"I need to ensure that I am using - the correct URL and question for the browse_website command. I also need to - make sure that I am writing the correct information to the file.\",\n \"speak\": - \"I will use the browse_website command to visit the website and find the price - of the book. Then, I will write the price to a file named browse_website.txt - and complete the task.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": - {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": - \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Answer gathered from website: The - price of the book \"Meditations\" is \u00a325.89, according to the text. \n - \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home - (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', - ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', - '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - AGENT-MODE: - - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F - AGENT-TYPE: - - Auto-GPT-2023-X-TYPE - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '6158' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA7xTzY7TMBC+8xSjOadVf7a73dw4llW5AAJBVpXjTBvT2BPZ021RlafhTXgy5KQ/ - bEDaAwLlEHnG8/3MjI9oCkxRl0q0ravB3Zvlw+u3M3O7XNb0cfH09Ond/kYXd+HzA+0wQc6/kpZT - xVCzrSsSww4T1J6UUIHp+HZ+E7/RJEHLBVWY4qaWwXQ4G8jO5zwYTUdjTHAX1IYwPWLt2dayEt6S - C5iOp/NRglfwS2IyniUoLKq63p3dz5oEdclGU8D0yxEthTOw54owRRWCCaKcRJnshFy0cMwcAECG - UvJuU0rIMIVT8JSgg8RghgtwRAUIw94bIZCSoPZGE/C6PeTM25hWsDYVgVOWCsg97wOt9pQHIzSU - gwxhAVo52IUOo0VbCa/aKs3WKtfSFAxSmjDMMPlVkScV2Bm36ct6EfAvdfd01JVynYQBfPi31D1m - 7Y0YbYLtd8CqLUHY+cikBBagbMts3Kal0+w9aQHj1uytiosVy2Kq5W/FxspLxATIKZafVhuMe4ZU - mPhj/63fnVCT2p717U1V/YfxdPxNcl7qE/ZvOx0hOmnPtPQcKL/pP4cuEe9eIV6YVv8Vvf+jvSzL - cEmFkXYmIR5j6398n8yG8/uLtdbeyWXmGmwSXBtnQrnqHgWmGIRrTNC4gg6YjprH5tVPAAAA//8D - AA/XyHnhBAAA - headers: - Access-Control-Allow-Origin: - - '*' - Alt-Svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 - Cache-Control: - - no-cache, must-revalidate - Cf-Cache-Status: - - DYNAMIC - Cf-Ray: - - 7cbda1d1af2c2a51-ORD - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 23 May 2023 13:27:02 GMT - Function-Execution-Id: - - f495tt5vatqn - Openai-Model: - - gpt-3.5-turbo-0301 - Openai-Organization: - - significant-gravitas - Openai-Processing-Ms: - - '20292' - Openai-Version: - - '2020-10-01' - Server: - - Google Frontend - Strict-Transport-Security: - - max-age=15724800; includeSubDomains - Vary: - - Accept-Encoding - X-Cloud-Trace-Context: - - 538e62f7ebc2b2b9c21ce7729ba69230;o=1 - X-Powered-By: - - Express - X-Ratelimit-Limit-Requests: - - '3500' - X-Ratelimit-Limit-Tokens: - - '90000' - X-Ratelimit-Remaining-Requests: - - '3499' - X-Ratelimit-Remaining-Tokens: - - '86461' - X-Ratelimit-Reset-Requests: - - 17ms - X-Ratelimit-Reset-Tokens: - - 2.359s - X-Request-Id: - - e05ec1791bbd0632573b17e8eef31a4d - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are browse_website-GPT, an AI designed to use the browse_website command to - visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer - the question ''What is the price of the book?'' and write the price to a file - named \"browse_website.txt\", and use the task_complete command to complete - the task.\nYour decisions must always be made independently without seeking - user assistance. Play to your strengths as an LLM and pursue simple strategies - with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command - to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer - the question ''What is the price of the book?''\n2. Write the price of the book - to a file named \"browse_website.txt\".\n3. Use the task_complete command to - complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. - ~4000 word limit for short term memory. Your short term memory is short, so - immediately save important information to files.\n2. If you are unsure how you - previously did something or want to recall past events, thinking about similar - events will help you remember.\n3. No user assistance\n4. Exclusively use the - commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append - to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: - Delete file, args: \"filename\": \"\"\n3. list_files: List Files in - Directory, args: \"directory\": \"\"\n4. read_file: Read a file, - args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": - \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: - \"url\": \"\", \"question\": \"\"\n7. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n9. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List - GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nAs - a system, I recall that I was created and there have been no new developments - to report."}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I need to use the browse_website - command to visit http://books.toscrape.com/catalogue/meditations_33/index.html - and find the price of the book. I will then write the price to a file named - browse_website.txt. I can then use the task_complete command to complete the - task.\",\n \"reasoning\": \"I need to use the browse_website command - to visit the website and find the price of the book. I will then use the write_to_file - command to write the price to a file named browse_website.txt. Finally, I can - use the task_complete command to complete the task.\",\n \"plan\": \"- - Use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html - and find the price of the book\\n- Use the write_to_file command to write the - price to a file named browse_website.txt\\n- Use the task_complete command to - complete the task\",\n \"criticism\": \"I need to ensure that I am using - the correct URL and question for the browse_website command. I also need to - make sure that I am writing the correct information to the file.\",\n \"speak\": - \"I will use the browse_website command to visit the website and find the price - of the book. Then, I will write the price to a file named browse_website.txt - and complete the task.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": - {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": - \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Answer gathered from website: The - price of the book \"Meditations\" is \u00a325.89, according to the text. \n - \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home - (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', - ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', - '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to write the price of the book to a file named - browse_website.txt. I can use the write_to_file command to do this.\",\n \"reasoning\": - \"I need to use the write_to_file command to write the price of the book to - a file named browse_website.txt.\",\n \"plan\": \"- Use the write_to_file - command to write the price of the book to a file named browse_website.txt\",\n \"criticism\": - \"I need to make sure that I am writing the correct information to the file - and that the file is being created in the correct directory.\",\n \"speak\": - \"I will use the write_to_file command to write the price of the book to a file - named browse_website.txt.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": - {\n \"filename\": \"browse_website.txt\",\n \"text\": - \"The price of the book \\\"Meditations\\\" is \u00a325.89.\"\n }\n }\n}"}, - {"role": "system", "content": "Command write_to_file returned: File written - to successfully."}, {"role": "user", "content": "Determine which next command - to use, and respond using the format specified above:"}], "temperature": 0, - "max_tokens": 0}' + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read a file, + args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get hyperlinks, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "user", "content": "Determine which next command to use, and respond using the + format specified above:"}], "temperature": 0, "max_tokens": 0}' headers: AGENT-MODE: - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F @@ -2526,7 +2150,7 @@ interactions: Connection: - keep-alive Content-Length: - - '7417' + - '3767' Content-Type: - application/json method: POST @@ -2534,14 +2158,18 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7ySQW/bMAyF7/sVBM9y4CJdk/m2wwZkw3baUKDzECgyY6uWJc+klxSB//ugxGnS - dIf2Uuj2JH7vkeIObYEZmkqLaVqXzL58+2rubz9/d/Pbxfau0OHPbJF+3BTb9NMdKgyrezIyVkxM - aFpHYoNHhaYjLVRgdnUzv45nmipsQkEOMyxbSaaT94n03Sok6TS9QoU965Iw22HbhaaVpYSaPEfA - 9VzhCX66iLoE0e4kzT7cDApNFawhxuzXDhviI7gLjjBDzWxZtJcYM3ghH1vY5R4AIEepQl9Wwjlm - MIrjBW0lijkuoNJ/CcZMVIBUBKK5VsABFmC0h57pUV4eX8aSRvsCJABXvUARNn6Sozr36Uhz8NaX - b2HWOu0PPgn8fDHlAmI6K9ZYbo6JPdG+oNE1Afdd5GqBZ61o58CTiV/UPex9GVa0Dh3tvcT68r+p - uSVdv2w8G+vc6+ZzMBrUcSHGZ8/2weuGDhmeYC+i6q68XKXzbz4Afmiuz1rg3sSZrHvnHh4D7UON - 2XI/4KBwbb3lankgYYYsoUWF1he0xSwdfg/v/gEAAP//AwAmuvG70wMAAA== + H4sIAAAAAAAAA8yU32/TMBDH3/krrHtOf63bKHlBQmJiAx7GNiFEUOS6l8TU8QX7Qoeq/u/ISdOu + YUJsA4nXO9/37vvx2WvQC4hBFZJVWZnB84v3F2/9zHy6ys7U1evL+vry1Xiymk5OLt8cQQQ0/4qK + txVDRWVlkDVZiEA5lIwLiCens+PZ8Wx6Mo6gpAUaiCGveDAdngy4dnMajKfjCURQe5kjxGuoHJUV + p0xLtB7i2fFpBHvtXXwa4kwszS40mbw42kSgCtIKPcSf11Ci73QdGYQYpPfas7QcpiTLaIODdWKF + ECIBLqjOC/YJxGIb3CbwlkMwgXNhEReCSdQeBRco5o5WHtMVzr1mFIrKUtrmxHftNYuCuYpHoznR + 0g+ZvHKywgBspCRLQ3mNoxIXmmWw6NPpdKTtAm+HBZdGBKlMB70CReW0QkFZ25doORTnYqWNCQEr + Vi4MsD/IJKTItEFhZYmL3qRDvuVQr6RtyztDLP0y3UI/8LOLdaeGCUR3MTmUnqy2+WNZhTNd8iHO + O/2GQMqUNq7vyD8GzZm20pgf0ZbR0/FURtqWzEDc/AfbkyR2P8hfRHeg++e4erSU06yV9mV/mdD6 + 2oUyyeJcyFLUXtu8kVHkHCoWNx/eNd6/1egDF5GR+w3usEzSeNq1KOUSRa9L4NDvo21GrmzQh7KQ + CmT6F+8rlMvORrO1/+JBXBdoo+5ZPPzWGv37drh1som6X3I75C+fZBBuTR6K92BIl/c/2DZRO9OW + P2nnD7q1wt0WtOofw41qfz/Fl53dxvLWeWI3sIkg01b7Im0/OYjBM1UQQdMa4vHmy+bZTwAAAP// + AwChi9cmRQcAAA== headers: Access-Control-Allow-Origin: - '*' @@ -2553,21 +2181,21 @@ interactions: Cf-Cache-Status: - DYNAMIC Cf-Ray: - - 7cbda282a841e260-ORD + - 7cbda08b6f552a30-ORD Content-Encoding: - gzip Content-Type: - application/json Date: - - Tue, 23 May 2023 13:27:30 GMT + - Tue, 23 May 2023 13:26:28 GMT Function-Execution-Id: - - f4950mi11y6s + - f495ziryd97p Openai-Model: - gpt-3.5-turbo-0301 Openai-Organization: - significant-gravitas Openai-Processing-Ms: - - '19853' + - '38742' Openai-Version: - '2020-10-01' Server: @@ -2577,7 +2205,7 @@ interactions: Vary: - Accept-Encoding X-Cloud-Trace-Context: - - ae94b92034f0418f548d7e72cf0c9bf9;o=1 + - b8bc47ef5185ce4a95373f0c7082edca;o=1 X-Powered-By: - Express X-Ratelimit-Limit-Requests: @@ -2587,13 +2215,13 @@ interactions: X-Ratelimit-Remaining-Requests: - '3499' X-Ratelimit-Remaining-Tokens: - - '86451' + - '86494' X-Ratelimit-Reset-Requests: - 17ms X-Ratelimit-Reset-Tokens: - - 2.366s + - 2.337s X-Request-Id: - - 1afba65e36bbafb24242da6f8cb9ca98 + - 4c3aae2d3631b3ef8fcdba9173076cd3 status: code: 200 message: OK @@ -2667,7 +2295,10 @@ interactions: \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", "content": "Command browse_website returned: Answer gathered from website: The price of the book \"Meditations\" is \u00a325.89, according to the text. \n - \n Links: [''Checking the proxy and the firewall (http://books.toscrape.com/catalogue/meditations_33/index.html#buttons)'']"}, + \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home + (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, {"role": "user", "content": "Determine which next command to use, and respond using the format specified above:"}], "temperature": 0, "max_tokens": 0}' headers: @@ -2682,7 +2313,7 @@ interactions: Connection: - keep-alive Content-Length: - - '5919' + - '6158' Content-Type: - application/json method: POST @@ -2690,16 +2321,16 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7RU247TMBB95ytG85xW7Xa7dPMDUCRUhBYQEFQ5zrQxjT3BntKiql/Dn+yXIafp - lT6sQPsUeS7H58z4ZIOmwBR1qUTbuuq8fLP4nBd+4FcfJ+/frT+9Wn2Z+NeTkdjiRx8T5Pw7aWk7 - upptXZEYdpig9qSECkz7d6Pb+9v+cDhI0HJBFaY4r6Uz6A47svQ5d3qDXgRbBjUnTDdYe7a1TIUX - 5AKm/UG/l+AR/JC4GY4SFBZVHWuHd6Ntgrpkoylg+nWDlsIe2HNFmKIKwQRRTiJNdkIuSthkDgAg - Qyl5OS8lZJhCG2wTtJYYzHAMpfpJMOOlK0BKgtobTcCz5pAzL7owBkdUgDAsAzXxlTdCU+HpzFQE - mq1VriloEic4wqCgKXLKUgG551Wg6YryYIS6spYIr5WLPe6ALyospu2czvAPsX1VN8PkVJknFdgZ - N9/L+2fqJyN4koyHklzSivl/HXWl3E5CBz48L/Usc8c7ns74grD2Row2wV4O3qoFQVj62KkExqBs - Q9i4eYOl2XvSAsbN2FsVfRHbYqqh3dwfOw8REyCn2N46E4w7QypM/LD/dTnUUJNa7PmtTFU996to - yF/b9Y7VNtk7tb3xL6NG4B3hM4YXupSfX3p8l4i1R4grqz/Fufw1PFwVnWUZvqXCSLOpEI9xIY+/ - b4bd0f1BWiOvVZm5LW4TnBlnQjndORRTDMI1JmhcQWtMe9tv2xd/AAAA//8DALTpOdW2BQAA + H4sIAAAAAAAAA7xTzY7TMBC+8xSjOadVf7a73dw4llW5AAJBVpXjTBvT2BPZ021RlafhTXgy5KQ/ + bEDaAwLlEHnG8/3MjI9oCkxRl0q0ravB3Zvlw+u3M3O7XNb0cfH09Ond/kYXd+HzA+0wQc6/kpZT + xVCzrSsSww4T1J6UUIHp+HZ+E7/RJEHLBVWY4qaWwXQ4G8jO5zwYTUdjTHAX1IYwPWLt2dayEt6S + C5iOp/NRglfwS2IyniUoLKq63p3dz5oEdclGU8D0yxEthTOw54owRRWCCaKcRJnshFy0cMwcAECG + UvJuU0rIMIVT8JSgg8RghgtwRAUIw94bIZCSoPZGE/C6PeTM25hWsDYVgVOWCsg97wOt9pQHIzSU + gwxhAVo52IUOo0VbCa/aKs3WKtfSFAxSmjDMMPlVkScV2Bm36ct6EfAvdfd01JVynYQBfPi31D1m + 7Y0YbYLtd8CqLUHY+cikBBagbMts3Kal0+w9aQHj1uytiosVy2Kq5W/FxspLxATIKZafVhuMe4ZU + mPhj/63fnVCT2p717U1V/YfxdPxNcl7qE/ZvOx0hOmnPtPQcKL/pP4cuEe9eIV6YVv8Vvf+jvSzL + cEmFkXYmIR5j6398n8yG8/uLtdbeyWXmGmwSXBtnQrnqHgWmGIRrTNC4gg6YjprH5tVPAAAA//8D + AA/XyHnhBAAA headers: Access-Control-Allow-Origin: - '*' @@ -2711,21 +2342,21 @@ interactions: Cf-Cache-Status: - DYNAMIC Cf-Ray: - - 7cc684068c040105-ORD + - 7cbda1d1af2c2a51-ORD Content-Encoding: - gzip Content-Type: - application/json Date: - - Wed, 24 May 2023 15:19:55 GMT + - Tue, 23 May 2023 13:27:02 GMT Function-Execution-Id: - - hlwokk6q580e + - f495tt5vatqn Openai-Model: - gpt-3.5-turbo-0301 Openai-Organization: - significant-gravitas Openai-Processing-Ms: - - '41327' + - '20292' Openai-Version: - '2020-10-01' Server: @@ -2735,7 +2366,7 @@ interactions: Vary: - Accept-Encoding X-Cloud-Trace-Context: - - f91fbd99b88eeafa44e0661933dc8d11;o=1 + - 538e62f7ebc2b2b9c21ce7729ba69230;o=1 X-Powered-By: - Express X-Ratelimit-Limit-Requests: @@ -2745,13 +2376,13 @@ interactions: X-Ratelimit-Remaining-Requests: - '3499' X-Ratelimit-Remaining-Tokens: - - '86451' + - '86461' X-Ratelimit-Reset-Requests: - 17ms X-Ratelimit-Reset-Tokens: - - 2.366s + - 2.359s X-Request-Id: - - 028e42efed960a14a11ed27cc9ab8472 + - e05ec1791bbd0632573b17e8eef31a4d status: code: 200 message: OK @@ -2826,21 +2457,21 @@ interactions: \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", "content": "Command browse_website returned: Answer gathered from website: The price of the book \"Meditations\" is \u00a325.89, according to the text. \n - \n Links: [''Checking the proxy and the firewall (http://books.toscrape.com/catalogue/meditations_33/index.html#buttons)'']"}, + \n Links: [''Books to Scrape (http://books.toscrape.com/index.html)'', ''Home + (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, {"role": "user", "content": "Determine which next command to use, and respond using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I have found the price of the book. I need to use the - write_to_file command to write the price to a file named browse_website.txt. - I can then use the task_complete command to complete the task.\",\n \"reasoning\": + {\n \"text\": \"I need to write the price of the book to a file named + browse_website.txt. I can use the write_to_file command to do this.\",\n \"reasoning\": \"I need to use the write_to_file command to write the price of the book to - a file named browse_website.txt. Then, I can use the task_complete command to - complete the task.\",\n \"plan\": \"- Use the write_to_file command to - write the price of the book to a file named browse_website.txt\\n- Use the task_complete - command to complete the task\",\n \"criticism\": \"I need to make sure - that I am writing the correct information to the file and that the file is being - created in the correct directory.\",\n \"speak\": \"I will use the write_to_file - command to write the price of the book to a file named browse_website.txt and - complete the task.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": + a file named browse_website.txt.\",\n \"plan\": \"- Use the write_to_file + command to write the price of the book to a file named browse_website.txt\",\n \"criticism\": + \"I need to make sure that I am writing the correct information to the file + and that the file is being created in the correct directory.\",\n \"speak\": + \"I will use the write_to_file command to write the price of the book to a file + named browse_website.txt.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": \"browse_website.txt\",\n \"text\": \"The price of the book \\\"Meditations\\\" is \u00a325.89.\"\n }\n }\n}"}, {"role": "system", "content": "Command write_to_file returned: File written @@ -2859,7 +2490,7 @@ interactions: Connection: - keep-alive Content-Length: - - '7391' + - '7417' Content-Type: - application/json method: POST @@ -2867,16 +2498,14 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA6xTy27bQAy89ysInmXBjzRNdMshRd1LCxQt+lBhrFeUtJW0K4iUndTQvxcrS36l - DxTIUSRndoYc7dAkGKHOleiqLiev3hZf371P8+X9HbtPb76kP283n19/KO436R1hgG79g7QMiFC7 - qi5JjLMYoG5ICSUYza5vrm6vZtfTeYCVS6jECLNaJovw5UTaZu0m08V0hgG2rDLCaId146paVuIK - suwJ5rMAj+SHxtxTihNVHmdv5osuQJ07o4kx+rbDingkblxJGKFiNizKipfprJD1FnaxBQCIUXLX - ZrlwjBEMxaFBD+KLMS4hVxuCbWNEyILkBHVjNIFL+4+1cwWIAwWpKQmsqiiBdeO2TKstrdkIhfIg - ISxBKwvWbaFl6qGiuFgNZgm0qyplE891qI1TYYzBqbyGFDtrbHamcYQlB5wXmRqbGJv9Qbl/0Xvz - E0aORp5Xb10qu5c6gY//zXZBpr1cbbgazVuiHlipgoDbxiOV/OURw7Am77hlSkC7piEt5WO/jDPo - cfK4W261Jua0LcvHS59ckyqeNTf7A5my7C/xZDXQ8njb31oNY9zr64Ix80PnSeS9gr30M6YLh6rJ - Lv+W00ieeT/dFKSutck/QugXdRbCUX3vYDAS2w67AFNjDeer/bMYIYurMUBjE3rAaNp97178AgAA - //8DALCJLSHjBAAA + H4sIAAAAAAAAA7ySQW/bMAyF7/sVBM9y4CJdk/m2wwZkw3baUKDzECgyY6uWJc+klxSB//ugxGnS + dIf2Uuj2JH7vkeIObYEZmkqLaVqXzL58+2rubz9/d/Pbxfau0OHPbJF+3BTb9NMdKgyrezIyVkxM + aFpHYoNHhaYjLVRgdnUzv45nmipsQkEOMyxbSaaT94n03Sok6TS9QoU965Iw22HbhaaVpYSaPEfA + 9VzhCX66iLoE0e4kzT7cDApNFawhxuzXDhviI7gLjjBDzWxZtJcYM3ghH1vY5R4AIEepQl9Wwjlm + MIrjBW0lijkuoNJ/CcZMVIBUBKK5VsABFmC0h57pUV4eX8aSRvsCJABXvUARNn6Sozr36Uhz8NaX + b2HWOu0PPgn8fDHlAmI6K9ZYbo6JPdG+oNE1Afdd5GqBZ61o58CTiV/UPex9GVa0Dh3tvcT68r+p + uSVdv2w8G+vc6+ZzMBrUcSHGZ8/2weuGDhmeYC+i6q68XKXzbz4Afmiuz1rg3sSZrHvnHh4D7UON + 2XI/4KBwbb3lankgYYYsoUWF1he0xSwdfg/v/gEAAP//AwAmuvG70wMAAA== headers: Access-Control-Allow-Origin: - '*' @@ -2888,21 +2517,21 @@ interactions: Cf-Cache-Status: - DYNAMIC Cf-Ray: - - 7cc6853a1a162ca7-ORD + - 7cbda282a841e260-ORD Content-Encoding: - gzip Content-Type: - application/json Date: - - Wed, 24 May 2023 15:20:35 GMT + - Tue, 23 May 2023 13:27:30 GMT Function-Execution-Id: - - hlwow4ei8qrs + - f4950mi11y6s Openai-Model: - gpt-3.5-turbo-0301 Openai-Organization: - significant-gravitas Openai-Processing-Ms: - - '32659' + - '19853' Openai-Version: - '2020-10-01' Server: @@ -2912,7 +2541,7 @@ interactions: Vary: - Accept-Encoding X-Cloud-Trace-Context: - - 3b9ada41b83eace6824a9959d99a1577;o=1 + - ae94b92034f0418f548d7e72cf0c9bf9;o=1 X-Powered-By: - Express X-Ratelimit-Limit-Requests: @@ -2922,13 +2551,13 @@ interactions: X-Ratelimit-Remaining-Requests: - '3499' X-Ratelimit-Remaining-Tokens: - - '86431' + - '86451' X-Ratelimit-Reset-Requests: - 17ms X-Ratelimit-Reset-Tokens: - - 2.379s + - 2.366s X-Request-Id: - - edc77b2bbc714d92d421e479ef4505b0 + - 1afba65e36bbafb24242da6f8cb9ca98 status: code: 200 message: OK @@ -2979,10 +2608,10 @@ interactions: \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This reminds you of these events from your past: \nI was - created"}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I need to use the browse_website - command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + created and nothing new has happened."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I need to use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html and find the price of the book. I will then write the price to a file named browse_website.txt. I can then use the task_complete command to complete the task.\",\n \"reasoning\": \"I need to use the browse_website command @@ -3000,18 +2629,9 @@ interactions: and complete the task.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Answer gathered from website: a - description of the book \"Meditations\" by Marcus Aurelius, which is available - for purchase on a demo website for web scraping purposes. The price of the book - is \u00a325.89, but the website warns that the prices and ratings are randomly - assigned and have no real meaning. The book offers spiritual reflections and - exercises developed by the Roman emperor and philosopher, covering topics such - as moral virtue, human rationality, and divine providence. It is considered - one of the greatest works of philosophy and has been admired by thinkers and - readers throughout history.\n\nLinks: [''Books to Scrape (http://books.toscrape.com/index.html)'', - ''Home (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', - ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', - '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + "content": "Command browse_website returned: Answer gathered from website: The + price of the book \"Meditations\" is \u00a325.89, according to the text. \n + \n Links: [''Checking the proxy and the firewall (http://books.toscrape.com/catalogue/meditations_33/index.html#buttons)'']"}, {"role": "user", "content": "Determine which next command to use, and respond using the format specified above:"}], "temperature": 0, "max_tokens": 0}' headers: @@ -3026,7 +2646,7 @@ interactions: Connection: - keep-alive Content-Length: - - '6625' + - '5919' Content-Type: - application/json method: POST @@ -3034,15 +2654,16 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7yTz47TMBDG7zzFaM5p1aZ/ts0RpIWCtDeEEFlVrjNtvI09kT1VK6o8DW/CkyEn - 7ZYNhz0gOHo+z/f9bI/PaArMUJdKtK2rwd2nxYe32/cT9/3B3fP9x3df03Q5qZ8evkxrhwny5om0 - XDqGmm1dkRiOkvakhArMxvPFbDRJ79JlgpYLqjDDXS2DyXA2kIPf8GA0GY0xwUNQO8LsjLVnW8ta - eE8uYDaeztMEb+bPQjqaJigsqrrtnc/nTYK6ZKMpYPbtjJbC1dhzRZihCsEEUU4iJjshF49wzh0A - QI5S8mFXSsgxg0vxItBJYjHHFTiiAoTh6I0QSElQe6MJeNsuNsz7KCvYmorAKUsFbDwfA62PtAlG - aCgnGcIKtHJwCJ1H67YWXrddmq1Vro0pGKQ0YZhj8juRJxXYGbfrY71q+JfcPY66Uq5DGMDnfxvd - S9beiNEm2P4NWLUnCAcfk5TACpRtk43btXGavSctYNyWvVVxsGJblNr8FjZ2PldMgA3F9stog3Ev - nCrWrU3/ckJNan/FO5qq+g+v0+U3yXWmL95/jHS06NBesPROoPyu/xs6Ie69WbzyWP1P9PNHOhsu - llfYFvjCnbsGmwS3xplQrrspxwyDcI0JGlfQCbNR89i8+QUAAP//AwCyRmy9sgQAAA== + H4sIAAAAAAAAA7RU247TMBB95ytG85xW7Xa7dPMDUCRUhBYQEFQ5zrQxjT3BntKiql/Dn+yXIafp + lT6sQPsUeS7H58z4ZIOmwBR1qUTbuuq8fLP4nBd+4FcfJ+/frT+9Wn2Z+NeTkdjiRx8T5Pw7aWk7 + upptXZEYdpig9qSECkz7d6Pb+9v+cDhI0HJBFaY4r6Uz6A47svQ5d3qDXgRbBjUnTDdYe7a1TIUX + 5AKm/UG/l+AR/JC4GY4SFBZVHWuHd6Ntgrpkoylg+nWDlsIe2HNFmKIKwQRRTiJNdkIuSthkDgAg + Qyl5OS8lZJhCG2wTtJYYzHAMpfpJMOOlK0BKgtobTcCz5pAzL7owBkdUgDAsAzXxlTdCU+HpzFQE + mq1VriloEic4wqCgKXLKUgG551Wg6YryYIS6spYIr5WLPe6ALyospu2czvAPsX1VN8PkVJknFdgZ + N9/L+2fqJyN4koyHklzSivl/HXWl3E5CBz48L/Usc8c7ns74grD2Row2wV4O3qoFQVj62KkExqBs + Q9i4eYOl2XvSAsbN2FsVfRHbYqqh3dwfOw8REyCn2N46E4w7QypM/LD/dTnUUJNa7PmtTFU996to + yF/b9Y7VNtk7tb3xL6NG4B3hM4YXupSfX3p8l4i1R4grqz/Fufw1PFwVnWUZvqXCSLOpEI9xIY+/ + b4bd0f1BWiOvVZm5LW4TnBlnQjndORRTDMI1JmhcQWtMe9tv2xd/AAAA//8DALTpOdW2BQAA headers: Access-Control-Allow-Origin: - '*' @@ -3054,21 +2675,21 @@ interactions: Cf-Cache-Status: - DYNAMIC Cf-Ray: - - 7ccf36013a42e263-ORD + - 7cc684068c040105-ORD Content-Encoding: - gzip Content-Type: - application/json Date: - - Thu, 25 May 2023 16:39:14 GMT + - Wed, 24 May 2023 15:19:55 GMT Function-Execution-Id: - - 7njtbtazvrkm + - hlwokk6q580e Openai-Model: - gpt-3.5-turbo-0301 Openai-Organization: - significant-gravitas Openai-Processing-Ms: - - '24187' + - '41327' Openai-Version: - '2020-10-01' Server: @@ -3078,7 +2699,7 @@ interactions: Vary: - Accept-Encoding X-Cloud-Trace-Context: - - 42bd6e754fdb81fbdbf7f541a3157eb5;o=1 + - f91fbd99b88eeafa44e0661933dc8d11;o=1 X-Powered-By: - Express X-Ratelimit-Limit-Requests: @@ -3088,13 +2709,13 @@ interactions: X-Ratelimit-Remaining-Requests: - '3499' X-Ratelimit-Remaining-Tokens: - - '85948' + - '86451' X-Ratelimit-Reset-Requests: - 17ms X-Ratelimit-Reset-Tokens: - - 2.701s + - 2.366s X-Request-Id: - - 171382cee7e5f0e366e927f414c29dc6 + - 028e42efed960a14a11ed27cc9ab8472 status: code: 200 message: OK @@ -3144,8 +2765,9 @@ interactions: \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created"}, {"role": "user", "content": "Determine which next command to use, + "system", "content": "This reminds you of these events from your past: \nAs + a system, I recall that I was created and there have been no new developments + to report."}, {"role": "user", "content": "Determine which next command to use, and respond using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"I need to use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html @@ -3166,34 +2788,29 @@ interactions: and complete the task.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", - "content": "Command browse_website returned: Answer gathered from website: a - description of the book \"Meditations\" by Marcus Aurelius, which is available - for purchase on a demo website for web scraping purposes. The price of the book - is \u00a325.89, but the website warns that the prices and ratings are randomly - assigned and have no real meaning. The book offers spiritual reflections and - exercises developed by the Roman emperor and philosopher, covering topics such - as moral virtue, human rationality, and divine providence. It is considered - one of the greatest works of philosophy and has been admired by thinkers and - readers throughout history.\n\nLinks: [''Books to Scrape (http://books.toscrape.com/index.html)'', - ''Home (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', - ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', - '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + "content": "Command browse_website returned: Answer gathered from website: The + price of the book \"Meditations\" is \u00a325.89, according to the text. \n + \n Links: [''Checking the proxy and the firewall (http://books.toscrape.com/catalogue/meditations_33/index.html#buttons)'']"}, {"role": "user", "content": "Determine which next command to use, and respond using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to write the price of the book to a file named - browse_website.txt. I can use the write_to_file command to do this.\",\n \"reasoning\": + {\n \"text\": \"I have found the price of the book. I need to use the + write_to_file command to write the price to a file named browse_website.txt. + I can then use the task_complete command to complete the task.\",\n \"reasoning\": \"I need to use the write_to_file command to write the price of the book to - a file named browse_website.txt.\",\n \"plan\": \"- Use the write_to_file - command to write the price of the book to a file named browse_website.txt\",\n \"criticism\": - \"I need to make sure that I am writing the correct information to the file - and that the file is being created in the correct location.\",\n \"speak\": - \"I will use the write_to_file command to write the price of the book to a file - named browse_website.txt.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": + a file named browse_website.txt. Then, I can use the task_complete command to + complete the task.\",\n \"plan\": \"- Use the write_to_file command to + write the price of the book to a file named browse_website.txt\\n- Use the task_complete + command to complete the task\",\n \"criticism\": \"I need to make sure + that I am writing the correct information to the file and that the file is being + created in the correct directory.\",\n \"speak\": \"I will use the write_to_file + command to write the price of the book to a file named browse_website.txt and + complete the task.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": \"browse_website.txt\",\n \"text\": - \"\u00a325.89\"\n }\n }\n}"}, {"role": "system", "content": "Command - write_to_file returned: File written to successfully."}, {"role": "user", "content": - "Determine which next command to use, and respond using the format specified - above:"}], "temperature": 0, "max_tokens": 0}' + \"The price of the book \\\"Meditations\\\" is \u00a325.89.\"\n }\n }\n}"}, + {"role": "system", "content": "Command write_to_file returned: File written + to successfully."}, {"role": "user", "content": "Determine which next command + to use, and respond using the format specified above:"}], "temperature": 0, + "max_tokens": 0}' headers: AGENT-MODE: - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F @@ -3206,7 +2823,7 @@ interactions: Connection: - keep-alive Content-Length: - - '7789' + - '7391' Content-Type: - application/json method: POST @@ -3214,14 +2831,16 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7xSzY7aQAy+9yksnycoFLHQHFeqVNRDVal7qJoKmYlJppnMpDMO7Bbl3atAWCh7 - qLSHvdr+/mwf0BSYoa5IdNPaZPF5+an6/ucL7VaV2//edfcP9dePwRfzjqeo0G9+sZYRMdG+aS2L - 8Q4V6sAkXGA2vVvO09n7xd1UYeMLtphh2Uoym8wT6cLGJ+ksHci6SCVjdsA2+KaVtfiaXcRsukiX - Ci/kl8Z8qlC8kL2UlvMPvUJdeaM5YvbjgA3HM3HwljFDitFEISeDTe+E3RDhkDsAgByl8l1ZScwx - g7E4NvhRhmKOK6hoxzB64gKkYhCKtYLoYQWaHHSRn8vr8+QAacgVIB5i1QkUfu+OY1Syk0mO6lox - MEXvjCvfVra15E6KCTy8gu+GTgcjRpvYnFM45iO0oZohdmFQIIEX8chacKyHA4ano4MIG976wEdV - Ma78T5LYMtVn2b2x9rX7OZH26vwkI+DFjzhq+KT3j8CNLQrl7XtdH/xE8I1ifbWM2OlhE9vO2qdn - Q0dTo7fc9dgr3BpnYrU+MWGGUXyLCo0r+BGztP/Zv/sLAAD//wMALZ5nXucDAAA= + H4sIAAAAAAAAA6xTy27bQAy89ysInmXBjzRNdMshRd1LCxQt+lBhrFeUtJW0K4iUndTQvxcrS36l + DxTIUSRndoYc7dAkGKHOleiqLiev3hZf371P8+X9HbtPb76kP283n19/KO436R1hgG79g7QMiFC7 + qi5JjLMYoG5ICSUYza5vrm6vZtfTeYCVS6jECLNaJovw5UTaZu0m08V0hgG2rDLCaId146paVuIK + suwJ5rMAj+SHxtxTihNVHmdv5osuQJ07o4kx+rbDingkblxJGKFiNizKipfprJD1FnaxBQCIUXLX + ZrlwjBEMxaFBD+KLMS4hVxuCbWNEyILkBHVjNIFL+4+1cwWIAwWpKQmsqiiBdeO2TKstrdkIhfIg + ISxBKwvWbaFl6qGiuFgNZgm0qyplE891qI1TYYzBqbyGFDtrbHamcYQlB5wXmRqbGJv9Qbl/0Xvz + E0aORp5Xb10qu5c6gY//zXZBpr1cbbgazVuiHlipgoDbxiOV/OURw7Am77hlSkC7piEt5WO/jDPo + cfK4W261Jua0LcvHS59ckyqeNTf7A5my7C/xZDXQ8njb31oNY9zr64Ix80PnSeS9gr30M6YLh6rJ + Lv+W00ieeT/dFKSutck/QugXdRbCUX3vYDAS2w67AFNjDeer/bMYIYurMUBjE3rAaNp97178AgAA + //8DALCJLSHjBAAA headers: Access-Control-Allow-Origin: - '*' @@ -3233,21 +2852,21 @@ interactions: Cf-Cache-Status: - DYNAMIC Cf-Ray: - - 7ccf36c92fb722fa-ORD + - 7cc6853a1a162ca7-ORD Content-Encoding: - gzip Content-Type: - application/json Date: - - Thu, 25 May 2023 16:39:39 GMT + - Wed, 24 May 2023 15:20:35 GMT Function-Execution-Id: - - 7njt0mzkp188 + - hlwow4ei8qrs Openai-Model: - gpt-3.5-turbo-0301 Openai-Organization: - significant-gravitas Openai-Processing-Ms: - - '17401' + - '32659' Openai-Version: - '2020-10-01' Server: @@ -3257,7 +2876,7 @@ interactions: Vary: - Accept-Encoding X-Cloud-Trace-Context: - - d0d343b2f33248c38a47163422c00cd4;o=1 + - 3b9ada41b83eace6824a9959d99a1577;o=1 X-Powered-By: - Express X-Ratelimit-Limit-Requests: @@ -3267,13 +2886,13 @@ interactions: X-Ratelimit-Remaining-Requests: - '3499' X-Ratelimit-Remaining-Tokens: - - '85944' + - '86431' X-Ratelimit-Reset-Requests: - 17ms X-Ratelimit-Reset-Tokens: - - 2.704s + - 2.379s X-Request-Id: - - a2db2b95003d08c1babcd0d729b2a380 + - edc77b2bbc714d92d421e479ef4505b0 status: code: 200 message: OK diff --git a/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml b/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml index 62fd173da12..f5a406c3033 100644 --- a/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml +++ b/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml @@ -343,48 +343,33 @@ interactions: append_to_file: Append to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. list_files: List Files in Directory, args: \"directory\": \"\"\n4. - read_file: Read file, args: \"filename\": \"\"\n5. write_to_file: - Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: - Get text summary, args: \"url\": \"\"\n8. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List - GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + read_file: Read text from file, args: \"filename\": \"\"\n5. read_raw_file: + Read file, args: \"filename\": \"\"\n6. write_to_file: Write to file, + args: \"filename\": \"\", \"text\": \"\"\n7. delete_agent: Delete + GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: Get text summary, args: + \"url\": \"\"\n9. get_text_summary: Get text summary, args: \"url\": \"\", + \"question\": \"\"\n10. list_agents: List GPT Agents, args: () -> + str\n11. message_agent: Message GPT Agent, args: \"key\": \"\", \"message\": + \"\"\n12. start_agent: Start GPT Agent, args: \"name\": \"\", + \"task\": \"\", \"prompt\": \"\"\n13. task_complete: + Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. Internet + access for searches and information gathering.\n2. Long Term memory management.\n3. + GPT-3.5 powered Agents for delegation of simple tasks.\n4. File output.\n\nPerformance + Evaluation:\n1. Continuously review and analyze your actions to ensure you are + performing to the best of your abilities.\n2. Constructively self-criticize + your big-picture behavior constantly.\n3. Reflect on past decisions and strategies + to refine your approach.\n4. Every command has a cost, so be smart and efficient. + Aim to complete tasks in the least number of steps.\n5. Write all code to a + file.\n\nYou should only respond in JSON format as described below \nResponse + Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created."}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I need to use the write_to_file - command to write ''Hello World'' into a file named ''hello_world.txt''.\",\n \"reasoning\": - \"Since I need to write a specific text into a file, the write_to_file command - is the most appropriate one to use.\",\n \"plan\": \"- Use the write_to_file - command to write ''Hello World'' into a file named ''hello_world.txt''.\\n- - Use the task_complete command to complete the task.\",\n \"criticism\": - \"I need to ensure that I am using the correct file name and that the text is - written correctly.\",\n \"speak\": \"I will use the write_to_file command - to write ''Hello World'' into a file named ''hello_world.txt''.\"\n },\n \"command\": - {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": - \"hello_world.txt\",\n \"text\": \"Hello World\"\n }\n }\n}"}, - {"role": "system", "content": "Command write_to_file returned: File written - to successfully."}, {"role": "user", "content": "Determine which next command - to use, and respond using the format specified above:"}], "temperature": 0, - "max_tokens": 0}' + "user", "content": "Determine which next command to use, and respond using the + format specified above:"}], "temperature": 0, "max_tokens": 0}' headers: Accept: - '*/*' @@ -393,7 +378,7 @@ interactions: Connection: - keep-alive Content-Length: - - '4640' + - '3467' Content-Type: - application/json method: POST @@ -401,20 +386,21 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA6SSwW7bMAxA7/sKgpdclCCuk2z1rdhhbQfs0q471EOgykysRpYMiV4SBP73QbXd - NNkwYNuVpB4fRR5QF5ihKiWrqjbj99fqYTW7vfty++mhvL+aJ6wWF83Hvfp89VyhQPf0TIr7FxPl - qtoQa2dRoPIkmQrMksWH2SxNLxepwMoVZDDDdc3jdDIfc+Of3HiaThMU2AS5JswOWHtX1bxktyEb - MEumF3OBR/gxsZgLZMfSHEPJ5bQVqEqnFQXMHg9YURjA3hnCDGUIOrC0HDWdZbJxhENuAQBy5NI1 - 65JDjhn0wT5BO47BHG+glD8IQqMUhbBqjNnD1mtmsjC6JmMcfHPeFCPQlh1IWGlDYGVFBYzKmF9u - Y37COx5N4AaUtGDdFppAwCUBy7BZ9iMTKFdV0hbADl5jQ9UkR/FW0pMMzmq77kzvtFXHYtAhQqIq - /b2ogCjxu9kLZ2MTyeKk1SB77lgbaTu9MXz974mV16yVDtWwG0v08pJsaHzn9YcWOsRfL0A570mx - 2Z/zQ01yM7C32ph/21KHbMVwZn35L1cWP7/rdoI/k5J+fX6gb/ffAe7jHgZAcbKyV6EXqd4tty22 - Alfa6lAuOxJmGNjVKFDbgnaYTdvv7bufAAAA//8DAGWPYeMpBAAA + H4sIAAAAAAAAA7STz27TQBDG7zzFaC65OFFC2iT1ExCEWqAFhDCytuuJvcTeMbvjJijyuyP/SdIY + 9QScVppv5pvf7M4e0CQYos6U6KLMx8v1/e2T0p/f36YfVh/5/m579fbu3fRhtf6qPAbIjz9IS18x + 0VyUOYlhiwFqR0oowXC2WF0t5vP5chZgwQnlGGJayng+uR5L5R55PJ1PZxhg5VVKGB6wdFyUEgtv + yXoMl8tFgGfvU/z17DpAYVH5KXRzM6sD1BkbTR7DbwcsyB9tHeeEISrvjRdlpYFkK2SbAQ6RBQCI + UDKu0kx8hCH0wV6gvTTBCNewM3kOlSeQjGDnjFAsHG9MTqC5KJRNQLgTYPSG8pzhC7s8GYGxwqCg + TbWqoARGWaPHu0afyF5GkwiD540dKc/W2LTr/pARiPJbcPSzMo48FPQX3QJoaV+cw/hWLNgLqLJ0 + XDqjhGDDDiRrVOW3Q+QyV7ajHcOn/3ZNkT27NxRxvyQX7qfYMWvIqp0Ro40vjo9ridpKsr5yTZ0S + WEOmnjoPzc6RljNbf4FKWrkNGw/9/oOxF1WJaQ52v4YYviS1fXm/GqB/t19d4zo4Ln1v+sfONw4d + 08XrDdCVS4ffpROa3LPFgOPCZPjFns10pG2Je/DI1lgHuDHW+CzuPgiG6IVLDNDYhPYYTuvv9avf + AAAA//8DANPpphvSBAAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c961baace9d0b89-AMS + - 7ca920092efb0c34-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -424,7 +410,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 18 May 2023 18:19:42 GMT + - Sun, 21 May 2023 01:43:08 GMT Server: - cloudflare access-control-allow-origin: @@ -434,9 +420,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '19872' + - '17065' openai-version: - '2020-10-01' strict-transport-security: @@ -448,21 +434,77 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '86485' + - '86497' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.342s + - 2.335s x-request-id: - - b3b3713528a5980e39ea8db88738ea42 + - 90577bd1f9895f3d042b1a9287fa5f73 status: code: 200 message: OK - request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Hello World\"\"\"\n\n\nCONCISE - SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": - 0}' + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are write_to_file-GPT, an AI designed to use the write_to_file command to write + ''Hello World'' into a file named \"hello_world.txt\" and then use the task_complete + command to complete the task.\nYour decisions must always be made independently + without seeking user assistance. Play to your strengths as an LLM and pursue + simple strategies with no legal complications.\n\nGOALS:\n\n1. Use the write_to_file + command to write ''Hello World'' into a file named \"hello_world.txt\".\n2. + Use the task_complete command to complete the task.\n3. Do not use any other + commands.\n\n\nConstraints:\n1. ~4000 word limit for short term memory. Your + short term memory is short, so immediately save important information to files.\n2. + If you are unsure how you previously did something or want to recall past events, + thinking about similar events will help you remember.\n3. No user assistance\n4. + Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. + append_to_file: Append to file, args: \"filename\": \"\", \"text\": + \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. + list_files: List Files in Directory, args: \"directory\": \"\"\n4. + read_file: Read text from file, args: \"filename\": \"\"\n5. read_raw_file: + Read file, args: \"filename\": \"\"\n6. write_to_file: Write to file, + args: \"filename\": \"\", \"text\": \"\"\n7. delete_agent: Delete + GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: Get text summary, args: + \"url\": \"\"\n9. get_text_summary: Get text summary, args: \"url\": \"\", + \"question\": \"\"\n10. list_agents: List GPT Agents, args: () -> + str\n11. message_agent: Message GPT Agent, args: \"key\": \"\", \"message\": + \"\"\n12. start_agent: Start GPT Agent, args: \"name\": \"\", + \"task\": \"\", \"prompt\": \"\"\n13. task_complete: + Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. Internet + access for searches and information gathering.\n2. Long Term memory management.\n3. + GPT-3.5 powered Agents for delegation of simple tasks.\n4. File output.\n\nPerformance + Evaluation:\n1. Continuously review and analyze your actions to ensure you are + performing to the best of your abilities.\n2. Constructively self-criticize + your big-picture behavior constantly.\n3. Reflect on past decisions and strategies + to refine your approach.\n4. Every command has a cost, so be smart and efficient. + Aim to complete tasks in the least number of steps.\n5. Write all code to a + file.\n\nYou should only respond in JSON format as described below \nResponse + Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created and nothing new has happened."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I will use the write_to_file command to write ''Hello World'' into a file + named ''hello_world.txt''.\",\n \"reasoning\": \"The task requires me + to write ''Hello World'' into a file named ''hello_world.txt'', and the write_to_file + command is the most appropriate for this task.\",\n \"plan\": \"- Use + the write_to_file command to write ''Hello World'' into a file named ''hello_world.txt''.\\n- + Use the task_complete command to complete the task.\",\n \"criticism\": + \"I need to ensure that I have the correct file name and that the file is created + in the correct directory.\",\n \"speak\": \"I will use the write to file + command to write ''Hello World'' into a file named ''hello_world.txt''.\"\n },\n \"command\": + {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": + \"hello_world.txt\",\n \"text\": \"Hello World\"\n }\n }\n}"}, + {"role": "system", "content": "Command write_to_file returned: File written + to successfully."}, {"role": "user", "content": "Determine which next command + to use, and respond using the format specified above:"}], "temperature": 0, + "max_tokens": 0}' headers: Accept: - '*/*' @@ -471,7 +513,7 @@ interactions: Connection: - keep-alive Content-Length: - - '252' + - '4790' Content-Type: - application/json method: POST @@ -479,16 +521,20 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA0SOUU/CMBRG3/0Vy/fckZENhP4C3lReJoohpbuMatdb24sxWfbfDYni60nOyRnh - OmjYsxE7RF/eb2w7fzDOtvXj0+Ll0z7vvqp1jrTebbdQ4OM7Wfk1ZpaH6EkcByjYREaog54vV01T - 1+vVQmHgjjw0+ihlPVuUcklHLqu6mkPhkk1P0CNi4iHKQfiDQoaulwr/6RteKQiL8TfQNJOCPbOz - lKFfRwyU/5KJPUHD5OyymCDXQQ5C4Tpviuyu+aJPROJCX/Cp2GND3nPRcvLdbA9MCicXXD4fEpnM - ARpZOELBhY6+oavpbbr7AQAA//8DAAMBUhNCAQAA + H4sIAAAAAAAAA6ySTW/TQBCG7/yK0Vxy2UQJIWnwEYlCqkpFUIRUjKLtehIvWe+Y3TFJFfm/I8fO + R4OQkOA6H+88M/Pu0GaYoMm1mKJ0/av5p7vr+7fTh+ub4c3dx3e3byrzYaZ5ph+eblEhP34nI13H + wHBROhLLHhWaQFoow2Q0nb2ajsfj1yOFBWfkMMFVKf3xYNKXKjxyfzgejlBhFfWKMNlhGbgoZSG8 + Jh8xGQ0nM4Un8VNicqVQWLQ7hV6OJrVCk7M1FDH5usOC4kE4sCNMUMdoo2gvDSZ7Id+ssEs9AECK + knO1yiWmmEAX7BK0lSaY4hw21jmoIoHkBKLjetEBEhguCu0zEIZj7FA1SFGdSwbSkb31q1b3viuD + QD8qGyhCQY3OJlgh6L0n5xi+cHBZD6wXBg1L6wi8LiiDXt7kF5smP5Ct9BQ0HHPI9U+CWBlDMS4r + 556OYBlIbmOLBvc5BVpyIAVzMNr/h/1Kp327Wh8+/7OaCVassbE4fMET7TvJxyo0fVr2ze1ZYcmh + PefJPGAj6LIMXAarhS4nxJL0+o8/hr+lbiVrdbBUV/6bo5q/tdOeHeUCSofVpRnP3dNZ55wve/bt + I9AeqmNLfY21wqX1NuaLVgkTjMIlKrQ+oy0mw/pb/eIXAAAA//8DAKgaLA4VBAAA headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7c961c35eb570b89-AMS + - 7ca920871f130c34-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -498,7 +544,7 @@ interactions: Content-Type: - application/json Date: - - Thu, 18 May 2023 18:19:46 GMT + - Sun, 21 May 2023 01:43:24 GMT Server: - cloudflare access-control-allow-origin: @@ -508,9 +554,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '1264' + - '13071' openai-version: - '2020-10-01' strict-transport-security: @@ -522,345 +568,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '89466' + - '86478' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 356ms - x-request-id: - - f4a3c4670f6e5ebf0eb84373974ec2f4 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Hello World"], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '90' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6SRO6Orvn/v0Up86WfktkSjg7EARkSFAcu7q6QJFBERmSQG7d796F/1u3uzcu - kAIyPL/pyX/866+//m6zOr+Pf//z19/vahj//h/LtUc6pn//89f//Ndff/3113/8fv+/O/Mmyx+P - 6lP8bv/9WX0e+fT3P3+J/33l/970z19/qzerJWvEbjWVb+gAbmowUkctTtms21YIcyNvqLEfWk46 - IW7gxrFkim7ZVM/SahJha4CSOhtTCoaxKGN4fDx0HJn9aE2jNUmQ7g2OkS8/+cSGvgJn//JGWrMe - kuEyaTF4z/uaekI4BzQAGgRpnsQ0tCSB8/uIzzBUjjn2usshY7peOcA3Lm+6seVVMnTyS4LPa9gR - Ic3vYLoFtysM1M2TWnH4tYZTeH5B9Qs4EpzuA/iB7nP9U58U7J3ye032t8SBHbt1RKw6sZ7JjYX6 - EHdPJDVFHkzTEw3Axi9IQ/zIOP2WeQ7dkn5wgCvZ4kI4zNDfY4bWlu8mLHhmFah0UqJVxOygBW7y - gr50SnBEGq0e15oiAJL6Ksa3s5TMbqQPIHAPOwQvwy6bSdcbkKn9Bq2pmYNpYiHSvGeCf9/Px8fW - aPXtBuc0lD0n4KldHOHGcSrsjFptEb6rz8r+sf1iz6qdYJattIFaez3g4PO+1eztqgxo01Dj0JJ3 - /Xw8yC3ob+xN8bY819P6ZrSgft5lek+lc8Ak9cpALt2P1Ij6PGC1jVJw8fiN9NG96Idcsl4gzFcV - Nh4HYA3Spc2hZEQYB499kXFRn8763jMmJKEH6AeNewbYrQqb2gdjyGar7A9Q+0Yz3r3NnSWZMA1h - mM5rus3ClUWW9YA7Psz0Xh+yfmpfagVOgb2nwQi8ek3cQwF8+6XjXaO5/WTKqIPeZTYwviZBwHy9 - 96Abr+902X+AtWZpgNf5PGEnta/1fABWCu0XKYgo134ySCqywX0zcIqy6sDpp3c1WPTMRNyqinp2 - MlcE1RtPaHKMuOa5qcRwvBRXIsnBZLGtkcVA2dEvgWX4tj6E9pq6M8FE2rdjZ/JFP4bwdXBvGEdU - TaZv61aAuUZJ8XRTwBQpcwNDtL3gnbIWArafdi0csfmhkfXq+7F1Sg30oALYe4pBNpm3HYFhjQCN - TkXIeaxuNHBSqy22speSEEEiZy3nWxfb5tkOWJEdW3if/A/1Z9TULDo9r3DKqYZ3vdclfGMm/upt - U42om/TI58Ad4J/nbXEz8AGq0gCPtyTGWzBMfFS3mQ3ZRRnotmpeFp+vxRmS3rKJXq30+q0phgZP - +CAQSS3WGY/KcAOHOV3jsOtPvK8ekQdNNbOpRW/XYLp+86M25eyNvbss8XFHthIwTpuI4sdLtfjQ - PiWw5s0db4zvve7X1WoA0rfxcebvvxbv12IHh3G/x+GNd5yyN2VwykeNWvL60XOSN1eguZVLow/q - A1o0wksrV/GI7cteywYjftxVJzpTJKCNnEzhZ+3A4OofMRZfccLaQyKqcsIapCpSy+fNalYgbPwt - mc3xUH/H46vTvAI5OEwlKRg+T6XT9u8mpf4KaNYEusGB+yPBqPY1Fnz9AhCQpPKdtKJ2ywbgZg1E - VraliDeFNV1dNuiVVTg4CtExYO9v54D73bLw7v66ctYE6R1Ukv+hmyZ6Z3MOXy0E9BDQKJ+3/Vq7 - NQ0slKtIemPFElp2zxgO5XOF5H19AQxquxT2RH7gnXnOAT251xQ+17RFYnqf+MyV96wdROVG+se+ - SL7xXIrAVG/2Mh8sYR/BO0ASVQ5hJ62vWcv6O/QCp6JmcZWzxsnSSrsX8Z3uJ6tLponZIThk9YOi - z8qy+u5oH6F1Sku8gee8Z2n/LaCiBA8iWriql/UWQXK4bxCAw5wMR0/XwKU5bYguwl1P01Piww+z - ztjXusGiLm5f4NquaiI4X92i+zyD2kPW14jTdAP4U8yuAItLfVxb0hMqSBVMUCCQVfmuObVO0xGW - W+dA7aBvA97NiQDNS0vwTvxk2bSXNgWUAl2iwUWA/dTnuQ0/dOcjFRqnft7x2xXCalZ+/JQxJS8l - feLKDodP+8rZeq04YBUhjzC/3CfdI4VnmEm2QfdidLGmPupjkDfZlwaTY1g8XGWdSvcbTt3uHtVf - YVJ8MMEzwgFIb9ksxS8CX9u8QUIFomAGxnPBp2iixm1bB9P78b7DU/vGeHO4vvuPJZ/hD8/wGT2y - frKEdND0Y4mW8YGsXVXch8dul6FVhkU++Oi8gQqHDGl73czogToMut9ziLfPLKyll36KwbJeOCRD - 0S98yNS5oxcaJNOrH3R0F+B2E+X4hzdTWbQh2IryioiNcsnooBaG3l18G+9ijyccnlsN6NcRUONA - xWCK46mAq9xOENPniE/J4KRw/36l1CuUsmaaNSs6KiBBwN/vLBkc9EJNU6emW60FYPJA1cIfHyJ3 - TKypPg8OeM9JjVTzsqvZ115tYIBEC2cd21tzNBodtGboI+iaUjJLK1WCxeUpIGZujFrcXL4FlC96 - Qnf+d5Px3GSxblu8I2vIWqsLJM2B+HmREAOPXU1UtXT0ZCWsiGbgOuBagVt4fDx1HGH/wafYug9K - M70rJAPX6PkkjTGQdUei5vs+JoOudw7sb/MbcV+LA67epw7c1N1IRgFVCbPUmwTRnZ4Q/yZmP2Xs - MqhCa2kor6ciGx9yP4NfPfpgvGSTcSoNbQOdGDvbcOy74NrlMHgOiGZqte1nkM8eWPCH8Eqf++nb - HkJohI2LI3cmGRc6eAV6iQYkR6e1xZp7dFAXPiPi5kYzEt4DDzZH54Ujoy35YB49CR7D94x/+NtZ - czvDoySp1Fn0APnxrwh7mcAN5/0375AAjoYcIKlI3ZrfeDeDcW2b1BxEyEeb6Qq8OzAgU4n8frq6 - CgElsA167J00YOJGfuk7WfBRUaduQNxoPcDHOfapBe0+a/eT2emRQVVqnvu6H/v8bGs/flfG8hmM - jlgeADQ3Fd6EsVpPMg4LkNt9QnJVU/vp1ckNCDdnRtS3kWf08dRDUG7ND4mu/SthMb4doft2RCKB - W8JZZbwHWLkDJ+qCr+P+vTVgrn1NNFarR832he2B4MVdvNPtvuZlV0K44B2+rE51Qh+CLcH3VT9g - v6yTerpIwAdiL11olNyCZPK60QNcM88U18PbmmZzxxRxU7g0L2XZmr0cIBA9bmcaPdcMzIrkpXAn - Qx9vG34PiKtvpB8f0R1JyqVengIo+tmk2/PKDSZRvsZaV88y3bl5B/7oK/Z6+dg/WtdlP6qdho77 - mG6eihlI8elDtN3HOqJl/9Rz9d0xcCGTSzfk2wG6elQxQNeixYZ04zXNvqSD6mNvoOqxquo2f8cM - Jlv2wvgcCJyEwbaFonh40K36ZvVUjPMRTpGSonV+kerpRKcZeuuDgD1RUzPqd+s7XPQ00Y52BdhH - X7/gh9kmKW5bK2DzQ0Xq3hJtbFi7khNrbhmkQsmwV4KBsyK7d7/5p8vzksn5hDl0bK3D5iN6gkm7 - kUZLzDrEge1/+Gzshivsu46R6VOTnt0u1hmUu8OKWmv6sequ/HrQfJ1DvJFB3Q99dxjAbM9HijA0 - +s4+3nxodNst3XhWWc/tV7uC6JGbRFYjOZt7czpDUXn4FHnTLpkeDTmA3jwXP/3Wz67uS0D6vnwE - lJz241zNjg4yg9O4l8J+NtNS0yJyDomorOtkto8o1xZ/Q+rsXQdzHl0q+Dk8RwIs+ALMznyk1bpR - /Oqznr9Bx37/Y6swcqt/jAcDMut7xKEY7HueM41ArZCuqIxfVcae6usAge/qC/59a1Y+DUNXlN2D - pL1aJfy7Ygys6iAkf/irdB2mKaDqaPB+1sHUlI4PRyZ+sTnDllPpxGK41DNG573Nh5pnBWT37Q3v - oFkkXN+FNvA2nxlv2urb8zkICmi+9iURbzennhWHH2AMLglaz1EZ/NkfJHpk2PtE73quVPiCKHZq - 6sUR6ueh/raafqUAB5/GTprdvrQBJI2PlMgyAR/artB+/LRFTK2HdNdUME0tBUnuNgyoqKtnuPgz - jN9zBubHTpBgTxSPRjhoe7K9TKJudO4W8Vtuclb4XxGS/NSgtO5E/l30LzwMWUt3+yDvvz/9d1Vl - go4L55eryw7Bc01KNLWfFx/tyWugUfYG9dnxkcz0cVV+9UQDXJdgPgRSDMXkeqA3sXUsjl4D0Rb9 - QcO7RwN29HQF9J6W0p2gd9ZwfRW+LlxQip34/eE8ivcIWrInU1sAKhjMRPA1fXZk9Cn9I+D6Jxvg - mT48+puvuROuL6ik7RM7cjAFMzS6SuVr8YtYWTwWf+Jr8KQ+UiLEft3TV5IMECjNfRmPzWf1osza - +zi/yaQ/KSAfOSxAh/oEb7rMC5iPckPT1MODuiqqAj5dHx28fg1E9ws/PJ53KIJrkL9p9ICHjNNq - P8OJazsyDetPzZ/1QwGqLQGy+NF6pNfY0Cdl4Vu+OgYkGdUY9tHWXfQCD2b/tGNw8cPoxatn/xsf - eD20ntqNWgVkpbkGOJaziR0/tmqGA9aCU6ZOaP0VeD0LEjnCSbEl7IqrY88vz7ABllbYOObYAeO9 - jhoNMO9CPeSMAfGQd4WPSLQp2mRa1p1q3ddOarGlyTnxs9mjjADfOL2xO37eFl1XMoFmpjj07prn - JR95plA1OoTUxR8Mj1Jx4BOzF3YMoeOLvr+Cg+o6KJAjM2G31pNg2PcG9aLNJWDmC3TQtsTTD28y - vvgjuOhDUhxlI5u7whPgt/TO1Jw2q35eaTcCLa2yqWd+75zsb5mj1ZspxWjhyy+KYlFf8iRUoofB - x8t73YL96B+pGd06zktv6uC39M8Yn7yk/5TdV4Bn6DeIpR5K+P1+LOAZeg3Fg+fzKVQ+GtiwWKDG - +uxli1/1VHCWHAKSya5nhqENe09JaSDGA6jVeyNoJX9mBIKTYI1duk7B9epb2HjTIOO9o4VwOK5D - ij+aC6YTVWfg2oFAXW0/Jn/48rF7DTiSFZ7whxCKwGriASn5ZFjU9u6VtvAVjbCv89GPDQ386sWJ - 0jijWoE78AL5kYYm87L1ygkGrRP7DcXnIAcLf6SAB22E9093Zy3z3UCnyloiG/0A2MrciNAQzg+S - 1ZczmHYkLmA9YUTUfSD0w6EeROiOlUrtWDeDSRXbEO5Wzxt2fKzwYQgtW/c27xmT9PnpGRXFGf7y - mvAuVMl86K4vmNmHFYKZNliL/oJAf99uGNt5kE3VVo1Be/JU6vaFVf/0lfr2XBdp170GGNkgAV5u - A6aPWdSzKeofDIwZ3dKdeRbAr57hpWtS7B/tDZhP23cF62zRY88ZWFOXeTZ0zPqB4jmIwfxmlge1 - t7VF+vc09NNntjq4lvkOo8f3mDCmFJ4uK8oO+4ueZg/rNEMYTjsCo8s2Yxo3DPiejwg7G/McdMB4 - Sr/8Af/ySp4fahu0IeGIH9OeM0mNmR4Z7IU49g6A+G/4AtvLycShoZ1++FX89gOZXreNJS55ngbO - ooOPS/3z6167g/6xOlC7UeTs2/mbF5S+5ZNu2jIH3LnPBMrou8FW4/nBEGPUQSQ5e/rDiylKKwjv - F/GME2eIEkm4lil8nA8+AffIz4ZgLxD403MHZef00sKXoEErgyjYrwP+87+w8baEWbsSsNyRcnBd - 9yZ51eOTs+92N8CerB8ILP6GprKVw6N32/4Xnlq+PUCvCDIknPc2GFdOQIAhHB/YKjU3G+jLhFAQ - mUVEXq16WpyDGa6i0KNbI5o5sWIl16T3eSbV4bqtefNRNbjka2RmLExaMt0dAA4vQmQOvwEbHl4D - 6OkQEFmy/Hpcf3kOR+wcfn4w6RtlGAA9xQFd8JGTW4wbcEDrFVKuX9EiqpqnwB0LFVF9nSdMhlOu - ujb60siHIBgGgSDtO+kS6cqa1+/scJihe81NGs6q0g/3eH7p3ivl1HJZnU07EonAHr03TcPe66fw - sjmAM7scyUy+HZ925FrBspFaaow6CebXMz4C58TWZDBZm7F0p4Y//Ycd5eEHw8ulDlTDdE3RXPmB - 9t6DAv7qLwDZK5jOdnSEGKpP7MURqefMOXtgvTpZRCYdS4g2hDEIhpNJEdrIGZtDQCDhT5+oB3MP - eDXKgvbYbGaMy7fFxUEgIewcjHBwBvtsLIS3B//ko6v2bjEzkfxfnoZ+eRzfnUsBriuyJy96+vST - eNUFuORP2BvLp0Xi03z9+VPSq9W7HtVz3OhN1uZEpKdPzTz33sLe3K+xveSlHCQegqFyzqknyxHv - Rz9V/vD/5pUs73+BFpRb+4CxMvOAFBZjoCXPHRL6HeWMfboWvg7bGw4naUwmBJMYErbVqUFNO2B2 - v97A08Bh1LStn/1Zn6OQckLOsRYQhkUbsvX99MunLfZspxx6vTBSi39SwN0iS+FrewPY+fannh6l - g6SfMjDhX97It10oagteUN9/fSw2QU8ErVc4qEnta89PrWTANMq2RGHDuaZpEwlQSd8iNWU/qJmV - yhW0y1NCo+5W9fz92odw6aegCVxRMtkmuENV4wJRfv0Lf1CO4HwxLbTS+n3PmNJ6AGQbvnzfuicf - V75COTsXf/B5yQs6eC8Od+rv9TLhx3drQLbOTzj4jm/Ol7wD7sN4R/FecMA8bPERLPVMxv4ecclD - xvVPvnz5NmkyBKgY4I3NCTaOcpGtc68865lQbZFC3idrXvIAjdpXA5/2YAqGg1gdf+NH2uCk9ThU - uztY7y4naj0Gu+dofalgLHsNPrdtl02iF3igrb4yOX8HI5N+evCXD37F1gn48f04AgGxI/WCVd9z - Q59TMOeWSt0FD6R5vbXhund78s4vUr/kmd3P3xHweav9uK3rGaZml2P3fdtksvh8GjBE/gbxFZLB - oo8GfWyvNbZ2sg2Ya3FBz+x4RfStSvnwEYwYaoV4xYnxDq2F/xpYPqoL9b1OB6w+Bdqvn4S9rGnr - +STOHbzIUYQ3dJAs/ukPDdzSycG7JT+a6s9ZAYMQ3KkLr4Sz3BFygJVhxu5Wf/fssD2FPz2GnfyQ - JeT6GFK44CX2jGZfE2W9Hv7w4VnEn2wUXskZNm7mUBurHf/jp4yTEdG9ob+z2cmwBPquZWR93Mz1 - JEzM+63ngh9xsvRjGmiug4GaN+MD5gR/W/jLozE7R/2knq+v33winXes/4M3Z/8a4/C5rWtGt9oZ - lid1pvgcfnsZbvsrXPIm6gsKAbNsHV7wc6iuFO91aA1rpxNgUNSUSD6+gl8eBE/DBIm+5FOjI37/ - 5IM0FMoie19dZYCNGro4EN6ME/MhK1rj3hwk3muezeSmILjtX/+lP5j3tSG8XbILDd1NaQ3zKpfA - mI3bP3hDjtNe0O1Wjcj8y2uOaJcD//T0CBjMZzLeBtn44yeNV79O2HdrEj1rzBN1nE3Bp81XLMBj - Y8xEPtx6q1sFdvPHD2sLfyx54xUu/UkiZYLJ5SWPgnth8yQslk49H7MtgQOeExq+UxdMu5V1Xro4 - KT2egpqzYeRXNeeuu/TDjGwWpOYItKOvIWnU6oD3a9iBnz6dvh0LeEv4ASzrT4QxF60eHNYFFC/N - Cjv2rkrmy85BkI8XBbtxEfZyFO9DfeE7vOMvyhd/Peu5lB9/9ZeIwTMpoH6sEZkv36SfPHARlP1x - wEtea/SiHb1TGO1bigDIbEta9ieIbH2PtOrzrbk7OSG8dDXF7lNtara5fCttwT9SXb68H4dSmEH9 - 0XRqrPohGeaQE5gLyo1eTznsh+a+jaHYixeMEmdM5muovkAMln6oEMn9kiemwIwdEW+E2AVzGMRn - 3eEJx8Gid4clP9MW/4Bd0rGMo2RS/uwfP781YLQno4HgQ/ZLvqgv+cfnCn1huhL6w8NiBgjeX88d - +U4PUne32G3g6LQRPibWpZ+Ow83WAUoNIsfFUJMf/iz9LBwueniKFO0Fk0O++ZMvDL/9XZWmTY0l - 3517k3QAAqTTn7+biHuowI8Pd6EOQDsKTIOvg2fjsC+/1tLvjH/5Dt54G4mP5ZRtYCMKlNqJvUm4 - v9t68J40ArXT+wQYuN5suE3cL+knxwjmDfUcsOAzmvhKtKjJigNc/AXR5Oexnp4jbcGr0l/YMM01 - H1+pPcMbVVyaj/nR4o7Qb5S7AwoaECEB7PS4O9rfv1MB//mvv/76X78TBk37yN/LwYAxn8Z///dR - gX+nj/Tfoij9m0p/TiKQIS3yv//5r0MIf3/7tvmO/3tsX/ln+Pufv6Q/pw3+Htsxff8/l/+1vOs/ - //V/AAAA//8DAJS30qThIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c961c3ef9c10b89-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 18:19:47 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '152' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms + - 2.348s x-request-id: - - 77ecb81e10b5ca3c783501ac14849bc0 - status: - code: 200 - message: OK -- request: - body: '{"input": "a simple greeting of \"Hello World.\"", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '114' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1RWy86rPLKd91N82lOOFCCAzT8jQAi32AnkekaQEAKEEC62sfvlj/Jt6bR6Ysnl - ksuuWrVq/ftfPz9/urwubtOff37+vKpx+vM/X9s9m7I///z8779+fn5+/v27/pdn0ebF/V69y1/3 - 38PqfS/mP//8yP9v+Y/TPz9/5B0aCHfpVAsCry2QNvmGWkU+DV1y62wQzIlKw/4VglmPaQHmlXOn - K67vasH8YQSPEjZ0OwsE+Gu/PsDC7putsVy0NZ8Weg+Vd1vguBPcmZbWPQNXveiIyKIh5Zk7WEBY - DaLu1moi5o3rGB7LZKJbLXrVrJ5n24TP44wWBHi5uObbxNBfsKK+LwpA87lBsNctRDRTl3NxRiCG - NT280espSMqTo9pBI2r2eOXLr1y8NZmYUyEmZN6bMp29c5DAdHEt0PySoTNXmtxAabJVovPeHpRj - acXAP6lPGu/0XgjD6UOY6qODL9ixamUV+BwaetGTRr3lgrHmaoPmejziTWrkwzz4QwPcOjliFB3c - lBuVIUGzObXYzZXTMN3Y2jCsO3SR9nif8sk7BztomKcjDoJzNrBYFpredJZG1KjmKZ32oQ9wqF3o - cdrLw4xbFuuXylNwEEo+EGmrnaBVHR282r+2w6wxqYeGCm7oeRruDo02/QiLa8uwrVXPiD1Y2EDn - wWK8+v6fPRafRH86PqZnKRX5vBdhoj9nq8Orzdp2Ru0jPMg0JjB6gU89c36Q4QEsMhy/JzsnLbxx - iMfuhg8G8yORjnZoQtsH5PYgZto8sGVDeTwsqH9HDZieEsqAKSs6Dtu9VPPTrfOhda4j6pXe9i8+ - YPY+ruj9ndY53wVNY4zWxaZhKq1rhfObDH7fF5w2b9A2LCSwTy8P/LBbPZpxq8Vw2OYxdRtjyGfr - ru9gfuYd/uJHsA/LZODtmyOOY7+qWb+SGFiW5ERk8kGp2DRzDyUwXsn8zvt01tvUgsw/x0S9sVyI - 8ro7mOr1VJGnfSM1/9ytDpRT+fiNl4og8Q6wvRgeDuJpjGa+Eo2BPsMbu7egdrgvaR3k4D5TvHjc - ojkMrvZffDj23o2UqzYeYDcjGcmy0+ckGrcH+Oy9HKOJnB0Ofa2H/sQmWvROkc4vVoS6ZxscO2Vd - ReRsViNA7kpDy7IPokHdZxc4rHYa0t+fSzop2WOE7gaP2BlXXcpuJlcXL2S61ProQrw29oVDI3Ac - HCmfxJlNaenD2s9yHBwLOf1YMoFw+852hMpHOx3MoZEg7jeIuuSD8ulRXgpoRO2eqFP0BCx2sx5S - oszYV/wxmuvrIoaLMbSodTk7Kbl7+wIKzZmQejBRSk+T1sJHo2Lq2Tx01KD3Q6hpbkCt3aVIRXQO - LuAS+R0+JHkm+Ps9JpBNEJBvvtJPgoRrOi480mQfoYHNbREb4rCICVtCJ2LerS0hV9gJY/lo5yLm - PIRrdmzoen5ZQqZ6UAJSpSoSSt5EvS9pPSi6XUrRyujqeWvxBppgx3EYtNiZV3pvg1MRrbF9fdOB - zHx1gSImFY3C5FF/+fEE3u52T2MAmRDjsqiMoWcJjo8LI6VJcmrhdH/saCD5PqCDsj+Y59gpkKkH - ZS4c2+8A2GVLvJUwFfQZ6B2Id/adrqXCBNNCKi+m2G+ef/dcX7ELPH6WgvB2bBzy2m8P8HA6Dmje - VFI0q9IuNC2cPLEzXA41X4GUw5dIzkS8DmE6G88A/fYLMV/nCbwCVMmgVhMZO1avCDbjrgLV+tpS - zw7UWqwDSzM9soXUxdfj0F+NkwdqI3zQLUyzlE8sgUCac4Vuqx4Lrm/sGG6eiGMHTetIXqTjBar+ - eqZuLx1rPioNB66YO6QtSntg0dUJ4XZXuDSyHzyaLzfQgqHV3jjiUHbGRNxHEAb1g6i9GBwRgEtr - vLb9myhJj/P5xU4+nPtyiZ1VGuQ0bdkJrgYnRcuIe4CvZqTB6UUNarF9P4h2+9pBQL0rUiajc4i9 - Lke4kLMefV47D0wNuUD4Pt5sinbrGMyZrSegpqc3jZK9W7PB01X423+8NFeOPF6OBIQ0QuS9ylg+ - xjIwYNAWEo3ztquZb4+xNhnyiZ7fZw9MCQIe0DLqfPNFxYB1nkEGuwLfHSrlYi0JCXZneiXzqLQ5 - D8Fo6188Uqzne8FoFvtAqHSH100Zp9zKrvHf/nVAuImm6aD0kETHD8ZWRQSn3ixB5t6f2BrbvSDR - Fkvg936N58T5FJE6QvgoLVx855l69NHFONx4g9cXd8h5fL6pYCFfenpnysHhvKEGPK2NG/a8eyXY - jdxCUHptSoMuGR0xKPsTsFzTxPFqo6WCvj8e1ObPjjry/ZMz19s0sHNOOXZmNqTzppt8sEmXI5kp - WgpysmEDya7wkInyVSqHml+BPs0e1OdeC8R5cSuMzWY64zjrJjAYThUC38o7pMJP50y/fNsVfoKP - 7O05TIZKCKK6eCLQNWYt1H2WQXEuMxzn+2fK9wtLM3/niQ0XZkTZh+ygLPYx3ZR94MzdajjB0mtS - HJ3PB0fcklaF0CUBMkE1A/ZuLGb+4vXgNrXDJXB2wZqdG2Se46AmQW+F0JW8mAahhRy2XVjMiA35 - QFcrAaLf+QomOb8T1Q5ONV8+4wrGrGZoWTtG/XnsZgZXZvtEaqLXQpCRGwCodku96iGB0buRyuiv - a4OobbgciNddCWSIrelN3mt5p/laBZy+cQlQPkkk4u61g5VIF0i+N1fAj753gfZNnAmz1amezS64 - GXHg7qiFPnlEv/wJms7WkJy6JJ/EfTzBJB7Lb/1twZ0953BA9EPd620diVeycI3P+sXpdvcYBEWL - GBmt8iRkcWNVyvbzrtJlfVzTlTFKDlk+4xIq0VPBaOjHgWpozfSnbKTUD7MpIv6xvZhw6I7kvVXn - tCNE7iAZ24x+8ZM3yXZ1Mrvo7VKfXn0h3HQsQazCD93yOajHb77B4aLpqFP80fnVwwa8rjfYPjzL - SIRt5wJb3XGywMM0EFtdQbAP6EDe18N5GN5JeYLrbJJpqJNAcDfuJCMwlhCJNllHSkrNDrRHK8eR - MJCgV1mTwS4rFWwrMa6X7fuigicVKsbIXeR0W6x686RsEqROZeDMbqsSeLmqEd2s15+Ivch4AVOY - UbrtrqkzNwqVwDcetbsNcDi/Xwx4ElyhvhzO+ah9gAdlYmwxWr2eObHjJQEewZBo21uST6fdp/rL - Z1umHKJZbcbGaJpoS/3x7ACFri1kfvUvRVvnPYis9A+wy5I3jeOXNIjFvuph8VxmyFCd2ZmTSbv9 - 1QfsqyemJZZd8Hr7Nna6hRPxobEMszOPPoGsfQzz3GEIvnhA5g2M4EOu2ghf2oLTAD6NmunNMwGt - d9Iw9vZ7wbFm9TBviwiH+MidmeBBBtwK39irHgWYnd3Kgi3WJWIw8zmwcr+NQb1WtjT46h++zI0R - fE5yjddJT1OuAKTCdx7c6UZudqn44JzAoycSbLejG/FvvWF04BK2mVc67FCXO/Ohb7d03UXrSIUP - cgKeOFzpwR+XolrmfIQJuTVEGvqxFjALXMBvO0DdojoMTOHXCga1zqh17F95R/xyB0/leKB4+3Zy - 3j/WKtSUCpCF3erO6LxiSW+nvUsdvb6Arz5qQPn8PwAAAP//TJpbz4JAlrXv+1d0+pZ0REBqM3cI - ihyEUkHF5MsXQEVROVcVVDL/fQJvZzK3mnAoqtZe69k79sicj6rLt39A+7neKDY/IeLvpWOpWhwc - AzF+uCE/PpkF6i9xiFiGGWIp/wownTc81at2aXxWb9hsVziQk9MYsmYtMcgH9MCeVO754JcBwG1H - PsEgaqnHnP1gwVfRRjIOrwsaS9kVQAreDWGS3hf8C04Ek18gSMsWRaXvKxGez36kG7uTUVW8TxHY - 8DhQuyXM+9PbVS35eN6v5OaAiFTSjMGiuOse60bnACtDWWNj29shc7j/UOrVaoNvOzDb6XuckI94 - QIbfHRdDwd/javZ3XqyXvJ72B1ifRgq6PtsWUhe992DorUnGEMe8nfwmOruNhncygpZmJyIhchwL - wsr9kjdLZEkoVWWHBo9vbNLC+hpwLHxrep8rqo5K+f5bz7keMvVHHiBv2p7w/UBbCvo9B12zVeoO - p4ozXTMsmPQzeHy0APEsQx2cu9uaBkXQFrm2SyI4afaO7qx8gcicb8px29A9dsuCL2R5uj+2pvOe - mr2MYQOP+yMNDrnLEGvldLPKs5DQ4H1gnJ+5kaDJ71Enylct3yEaqafVKaMOtu7F2G3Ntzb5K2yZ - u2PIENIDjXIIgndWi6ga9LUEh2gLhIYXK6zN80mExXX9oXvmmC2Z89vZWJXYiqqdx+zX6wMLTWOB - mvtiyNeXwVaO3zGiO/Rbht+41LPZn2LLLwG9qnJBVrgXVnS6f8pXtZCr3j6P8GWo7px97VgHReMf - IjbCsu2lT/dDlqGM9JGoi5TEC6qqw+5xCYpot/aWS9E7/a2/uFx/ze6yOOqAf35B/UR+h9zdQw75 - K/GoNeWT2d8h3bR9vCFR6fFB0HX0Uywgi5c0oO5C1WheX7ovbheP4yYksCpuEQ7OIuVse4gyeD7p - SFbSKId84NwGwXxleCOkOWJbz23AHEWCb7AP02F9uI5QfTdP7P3y0GOy0P7Qz4oUbIxuk3Z6uBDR - XP8vzN/N+iOg4ERTwh5pXxCgW+NPL67NZsPH4d0QuPm3BXZPBjP5k+gSaOvD9q/eseq3FaCrPSEQ - Hl/FI2XZHVR0iGU66adXLat9gzxHsyi+betiULaHTHP2i4Ioh7FAY3oJVPg9vi/qvh0HLaOmkKCT - 5RdBI0TmsHZsBtq5NQkKUOg1Emv38Fw0FlFcGk36akkwlhtORLu78qFd7SVkxhNvGbqSd9Vi9Ybk - ubniPz9F3cRAE4+hgWXcQyYYeq6V966la1FD3uQXNyhxNBSgiU0MaH/oEDUClzrSeE1ZmrET8tSk - 7wUdfDTW/ktAgcBMMuUPNB5FUYcN5xVd77ZvjyyXSwO9u+tItw97WQzjW3LhdM1jvDERDZkRqyqc - 1M8KB8MN8+G0xA+Udt6P7ia97HTN2CABkRv1qo/W8oexSpB5O4cBVHz0+OK1vqhKnfyo5yyLljyu - 2gUi4V1hoyZ1yEmIL1BHx3NQdsMb8UtRdMgdyD0oNnqZDuZWdKFOSED1RiYFCYcyBuu7CIn2O1ft - kLGtAoX8PWJ9f6iLcfvYi3DaaC5+7d4Pj27uqwRxIfvhZKqHXXxmOvTi7Y7X1q5Mh1A1ciD8XeJg - tWSI60fJQseXWtP9aamH7HbHuurz/Iu3wUJqp3ogwA5nPb0q2PFkcatHcEG5R7Mrooj1ovWY8xx2 - l8m9qMr2OYKbWX0wnA+/cKzM+wZR3CBqcPtrdj5tNjDlA7yenndY7csHWie5jpPJT9DL46hoZ2s4 - /eU9+srLCzRN1FJL6E8p0zQ/huXL+eJdnR5D5udmogXMeuHt9qvy6Xvairv82EHcbqFg0/mCTk8M - 0rmvyKQ4WeqIu06E186om8OU7ybqmVBHvG25ZJ9Jgqb3w5n7Ej0qyT8GKzYm1NzoZdg7i42F9pJQ - U1PYd2H1FbwNHNLlCZvU7MPKVfS3Nn0f6hTCoiAUvgZa74QRb76KZYqEiA08d3eH2kt7b7akU1W4 - 3g+YXl6byhueJc2Qfhc22HNPi3bQ4maE5aE6YVsNUMt+N6SsJt4ULKzjwAcEK0BPzVKC0/gcCp6u - XQHszTHEwXv1Sdk1dSQYvMt64n+ZWSWnIl65zuuJd8t367VG/xMhKIQ9NjbUb/s53858y/kF62Ic - fTWAgSRvMryuuteSexbALdu+ySVjiHfmxojRKBiL4JM5hceIr1roJNEgUAr0bjtZKD5z/iGSMTYe - yTVVUP01e9GneH6H9PhULLgstyeM00dqNndpJOgDqURgqjcs5T2oUR/K1GGkN4mLOh1CfnSpYRi4 - nXiVq/qLZkXN6kLb4blON395mTlFW3T2q/6pjOUuzYxtaLZbgQNc7ydM11O+nM8vbCV2p/4mnnhD - aWfA1Q8iYyyANzzzOEPip6yx+xWNdnxmLNHSK6uIkh1cb1W/vwo8PnFFcXe5pyO3qxgu2hWRFd8J - xRBkbQQHTDQiqqwyayEpAeY8sTrEH8Sq5acBp7nUZJj49aSPuTrzM5dp60Kc+W0p7y1sHrIq7cro - vYEc9kbAJn2Y+S0Kl1JMZr8jFrH/gCn/kKVcex5nJ/ZDU70Oxuil/+1/oEH0CNR04Cad82t/DkrC - LlVujley12d/h637jYajLbYjjIK+oPqHf0KeHOo/nhkIPZFNbh/WNgi5+sa2KlOPVT9fQHUUngOd - h7QY9zvJhvEhOkS7FJLJTlluQNFmQGf9IhJrA/jYooEDlbdFY9MjzH49UC4S8ZiFWgVdtkpGN88c - hyOTwwAydGA0Tl4/NCzODxfk9LvC9q/Ki+FgvAyN7tAXG8VlbMnsVyvHlKgFtW2y8mMz2C3UCLvG - 6uiNVox0BBmM/+FVqoMTiPfPLYGk8vm4lZUE8roSqUHv+5R/u6ZCr/G6DdRGHc3eeTg5Ot8uOTXR - k6Sfqb+BtIV9px5XCZr1G61PrMEn93Eo+PFwi2fegs1jUphTvn7MfoLurl8xHLYozkDrSox3llnw - 0Te6CGz9VmFjvRHR8LA+yszTyLDmyOS9xyIQfduhJy/z0gaoryMaXB44eBYjWoJcuVBxZgQrabyG - vLuEAlh4beHzsRPb7smMDzx/9YJog4vCTnqPEtoF7oF6upUXPcGFBMDMCOMlW3lD6LwOKoy/N53P - gyzv7Q8cD7VC5ElPhs68MTT5ISKMhhkyxNAF9VaxodtVTMKpfxFBu3AOZFjobjrOeisrsMBGufbS - wS7SCO64JmQl3rZIYnIaqMv24WCb3io05bUOZr3fl/07pbR8Wdp0fuc8Edb7c2GBa4obfFYvjkfD - znVB6U9Hio809oamzAVNugd+QK7sGw4T74QdGDXWId6E4sevJcjMLSczb+Gb/mCBVb1f1H5HUcil - NScgXoU1XuNX4TEwrgewrkeG8evlFqx0zwE014OLb2WtpP22XTFIahWT/G1ZKSVw/MGpXV3olP/D - foTJWdXVmt6NqGyZHLgXlItZR03a6Xy5ENMc1OOxp2bxLc0aFUGMQMp8etWHDPFEEvS5H4YdmY1m - j7VeQfC6DkSu7pei+5xQhaJgtw7kxTEwx2k9IVmUDTlKHycV37IrgvJbxnQjb2k6+WFDkYK8ob4/ - +oiW9cUAkSj+nM9bEiuxCn2uP6d6lBZNdUJMhdtuR40uLVO6Nw6KdhX3Gfbu1jUc67tdIT2sc9LR - HCM5kSQdzf54+j9l1zys0Kf5WJO/f4b9xKPR1B+gDt8JbfOzXkSb+VmfyEYo3SKH/PFijdJNymTx - 0sGi/oxEc3dL868fJfquQ12vWYUUJ5qOVoa6pvpx0RWU3KMA/OwT4z2RIeTlqYqQ1q86Ou1vk9v6 - +wH32nHo5qv8PM5vigTWNtOpnbwsRJic7oGn8ZY+WeMUUvP0RdT5IsduVy/TDiF7j+rWf1HnU4bp - eC0WLuriqiWrPkYte2JbX3Wja1FnMKO0olg+oG+cPXE4+QfK9e0J1gc/w4bRmp40fqgCyJcrHJQL - zqvrAQTo6EcONCkzwuXkF6DelmOAPlmFmH1yFYTP3QF7zzZP2f3WNuiZ6Ne/fsR49deP//iJTlzw - dny6FZzR5oMvi9afeEd1gEO0g0CV1x6a+i8J9I51ot7O/hbj10NvQGsaUStPxZbW20BUnZOlk9XE - b/70K8wpBIOZ1ClzA+kAo1/GeH0q7HQ80Xeg7RquYFzcc5PcIqeDzygyHE39hP5Zlo/V5451Mvev - Olexc5j0GbuCeEuHgjcMFfuDFajG4d6Od+v2gGWwNYOF8buZUz9VhWsdf/A5X4bt3K/WJj0PFuHF - StnI2g0YiqRjd4su4Sig5wZ4mmwDZbdJW5Kla0GzPpWEHUZ8k0w8GA7mp6an2W/cbM9CC+VwpqeJ - 57GuFBOgXAjwlC85U6WtPed3vFbCrq2wtba0qT/8l/f7VrhUsOeWQPeCjtI/vjb3p1FqdIixSL3A - 1C/HwayfxB8tiD23Ij8ctOaQv8/NfP1gGYZvRK3Ge4CxyQl91L93OJy/ib6a6+U5tVhYzdf71zwV - 8N//+Oc//988YfCr7o/vNBjQP4b+3/87KvDv5J78WxSlf1PpbxKBdEn++Nd//WcI4V91W/3q/v/3 - 1edRdv/6r3/C37TBv/qqT77/5+d/TPf673/8DwAAAP//AwCK+T9m4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c961c461d2f0b89-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 18:19:47 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '148' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - d70bee6db9fb5f7e806b5720e8c8027e + - 137423c120d49f49824a2fbbd7cbb558 status: code: 200 message: OK @@ -923,20 +637,20 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA7yTT2/TQBDF73yK0Vxy2UQ2JU3wlQuh/Lm0VAKjaGtP4sXenWV3rARF+e7IdpK2 - RpwQXOeN3/vN7PiApsQMi0pLYX0zXax+vtM395/9l4/1rUk/pHf1bvn+Jn56s7DXqJAfvlMhpy9m - BVvfkBh2qLAIpIVKzNLr5avF/DpNE4WWS2oww62X6dVsPpU2PPA0uUpSVNhGvSXMDugDWy9r4Zpc - xGwxXyp89L7UXyaJQmHRzaX0er48KiwqNgVFzL4e0FI82wZuCDPUMZoo2kkHyU7IdQMccgcAkKNU - 3G4riTlmcCqeBNpLV8xxBY6oBGFoI4FUBLtghNbC641pCAq2Vru+oRdg8paahuGeQ1NOwDhh0NC3 - Om2phEnV6etdp89kL5NZjuppdiAd2Rm3HQBuKwLRsYZAP1oTKIKlv0hT0NP+cQ4Te9FyFNDeB/bB - aCHYcACpOlXHeozsG+0G2inc/ac1FcGIKUy043ciF9vQMWiB1eXVCg6BCukjuoRhDbSXRyThvrPr - GIdFT7o+B+1M0/zLaxiCj+p8pSfT3460cxiYnkGM0HXYju97EM6bGCxGHM9Mxv/Ek5nOtD3xCTx3 - Rzwq3BhnYrUezhkzjMIeFRpX0h6z5Pjt+OIXAAAA//8DAKZbgiyDBAAA + H4sIAAAAAAAAA7yTT2/TQBDF73yK0Vxy2URJ0/zBRyoBEQL1UIQKRtHWnsRLdnfM7phEivzdK9tJ + 2hpxQnCdN37vN7PjI5ocE8wKLZkr7XCxuru9f1PZ6+qde6tvPn74db843Mw+XX3d21tUyA8/KJPT + F6OMXWlJDHtUmAXSQjkmk/nyej5dTCdzhY5zspjgtpThdDQbShUeeDiejieosIp6S5gcsQzsSlkL + 78hHTBazpcIn70v9ajxWKCzaXkqvZ8taYVawyShi8u2IjuLZNrAlTFDHaKJoLw0keyHfDHBMPQBA + ilJwtS0kppjAqXgS6CBNMcUVeKIchKGKBFIQ7IMRWguvN8YSZOyc9m1DK8DgPVnL8IWDzQdgvDBo + aFu9dpTDoGj09b7RR3KQwShF9Tw7kI7sjd92AHcFgei4g0A/KxMogqO/SFPQ0v5xDhNb0XEU0GUZ + uAxGC8GGA0jRqDru+sil1b6jHcLn/7SmLBgxmYmu/07kYxUaBi2wurxaxiFQJm1Ek9CtgQ7yhCTc + djYd/bBYkt6dg/bG2n95DV1wrc5XejL97Ugbh47pBUQPXYdt/7474byJzqLH8cKk/088m+lM2xKf + wFNfY61wY7yJxbo7Z0wwCpeo0PicDpiM6+/1q0cAAAD//wMAx8X8+IMEAAA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7cb4d4990f550eb3-AMS + - 7ca9805e4d7328e0-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -946,7 +660,7 @@ interactions: Content-Type: - application/json Date: - - Mon, 22 May 2023 11:48:53 GMT + - Sun, 21 May 2023 02:48:51 GMT Server: - cloudflare access-control-allow-origin: @@ -956,9 +670,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '23501' + - '14375' openai-version: - '2020-10-01' strict-transport-security: @@ -970,13 +684,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '86496' + - '86497' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - 2.335s x-request-id: - - 48db45feb85838e744ef8d07b37ba82b + - dd442d3790e304394237402085fd3bc5 status: code: 200 message: OK @@ -1022,22 +736,23 @@ interactions: \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This reminds you of these events from your past: \nI was - created"}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I need to use the write_to_file - command to write ''Hello World'' into a file named ''hello_world.txt''.\",\n \"reasoning\": - \"The task requires me to write ''Hello World'' into a file named ''hello_world.txt'', - and the write_to_file command is the most appropriate for this task.\",\n \"plan\": - \"- Use the write_to_file command to write ''Hello World'' into a file named - ''hello_world.txt''.\",\n \"criticism\": \"I need to ensure that I use - the correct filename and text to write to the file.\",\n \"speak\": \"I - will use the write_to_file command to write ''Hello World'' into a file named - ''hello_world.txt''.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": - {\n \"filename\": \"hello_world.txt\",\n \"text\": \"Hello - World\"\n }\n }\n}"}, {"role": "system", "content": "Command write_to_file - returned: File written to successfully."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}], - "temperature": 0, "max_tokens": 0}' + created and nothing new has happened."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}, + {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I need to use the write_to_file command to write ''Hello World'' into a file + named ''hello_world.txt''.\",\n \"reasoning\": \"The task requires me + to write ''Hello World'' into a file named ''hello_world.txt'', and the write_to_file + command is the most appropriate for this task.\",\n \"plan\": \"- Use + the write_to_file command to write ''Hello World'' into a file named ''hello_world.txt''.\",\n \"criticism\": + \"I need to ensure that I use the correct filename and text to write to the + file.\",\n \"speak\": \"I will use the write_to_file command to write + ''Hello World'' into a file named ''hello_world.txt''.\"\n },\n \"command\": + {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": + \"hello_world.txt\",\n \"text\": \"Hello World\"\n }\n }\n}"}, + {"role": "system", "content": "Command write_to_file returned: File written + to successfully."}, {"role": "user", "content": "Determine which next command + to use, and respond using the format specified above:"}], "temperature": 0, + "max_tokens": 0}' headers: Accept: - '*/*' @@ -1046,7 +761,7 @@ interactions: Connection: - keep-alive Content-Length: - - '4607' + - '4637' Content-Type: - application/json method: POST @@ -1054,20 +769,21 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA6SSsW7bMBCG9z7F4ZYstGHBsR1rzVKnRbskyFAVBkOdJNYUyZKnxomhdy9kSXHq - Jku73h0/fjz+B9Q5pqgqyar2ZrLaPH2aFZubLzd39xujm9XX/fMtf35eXK9X1yjQPfwgxcOJqXK1 - N8TaWRSoAkmmHNNkeXW5WiyT+VJg7XIymGLpeTKfLibchAc3mc1nCQpsoiwJ0wP64GrPW3Y7shHT - ZJasBZ7gp8blWiA7luZUSpZXrUBVOa0oYvrtgDXFERycIUxRxqgjS8udprNMtnvCIbMAABly5Zqy - 4phhCkNxaNCeu2KGG7BEObCDJhJwRcAy7raDI4FydS3tceClNk5NMxSvqYFkdFbbskffDmMQ6Gej - A0Wo6U0OyIIpwGPQrG0JFx/JGAf3Lpj8ArRld5wstCEBR5d3LXU8NmsXGaT3wfmgJRMULgBXXfcN - bW+k7Y0ncPffS1DdK5SO9fl+ycYmdOckwwZ8cL90TiCh39pRcUyGLd/FR09yN6IftTH/9m89shVj - Uobxv4JiZU39bX/gz6RkKM8z9joRQxy6nx4BOcRGKYqxaIx5ehE6Sg1umW2xFVhoq2O17UmYYmTn - UaC2Oe0xnbXf2w+/AQAA//8DAEJ6kTzsAwAA + H4sIAAAAAAAAA7RSwY4SQRC9+xWVunAZCOzILpmbFyOHTUwWo0YM6e0pZlp6utruGsAQ/t00zMi6 + sheN13qvXr3X/Q5oSixQ10p04+3wbr547x+mn+/X929pnHPc3dWfHt5ow7Npgxny4zfS0m2MNDfe + khh2mKEOpIRKLCa3s9e3+V2e5xk2XJLFAisvw3w0HUobHnk4zscTzLCNqiIsDugDN15WwhtyEYvJ + +Gaa4UX8AszyDIVF2cvoZjw7ZqhrNpoiFl8O2FDshQNbwgJVjCaKcpJsshNyKcJh6QAAlig1t1Ut + cYkFdMMOoL2k4RLnUKstQWy1phjXrbU/YBeMCDkYvCNrGT5ysOUAjBMGBWtjCZxqqIRBnfDVLuEj + 2ctgBIuawNFeIAp5MBGEoY0EUhOIiptVF55Ac9MoVybCr1nPGi0xe2o3kIrsjKvOnhcdDQJ9b02g + CA1d1QG1FgqnPMZV1/IkZkqUwcnLiy5Tkpqg4SigvA/sg1FCsOYAUif0im1vlTs7HsKHf34EnVJo + E5v+4xzRaZNcbEPaUwJz8IG3piRQsFXWlHB+u5PRvniuevFI9KQ2/YGdsfbvfu8secz6Inb0P3qY + enS+9pv8M1MqVM8r/LQX/6PIfYRTjC7N0h3xmOHaOBPr1fk2FhiFPWZoXEl7LMbHr8dXPwEAAP// + AwCEJsUGfQQAAA== headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 7cb4d53dbdec0eb3-AMS + - 7ca980c86e2128e0-DFW Cache-Control: - no-cache, must-revalidate Connection: @@ -1077,7 +793,7 @@ interactions: Content-Type: - application/json Date: - - Mon, 22 May 2023 11:49:12 GMT + - Sun, 21 May 2023 02:49:08 GMT Server: - cloudflare access-control-allow-origin: @@ -1087,9 +803,9 @@ interactions: openai-model: - gpt-3.5-turbo-0301 openai-organization: - - user-kd1j0bcill5flig1m29wdaof + - significant-gravitas openai-processing-ms: - - '15267' + - '14391' openai-version: - '2020-10-01' strict-transport-security: @@ -1101,13 +817,13 @@ interactions: x-ratelimit-remaining-requests: - '3499' x-ratelimit-remaining-tokens: - - '86011' + - '86481' x-ratelimit-reset-requests: - 17ms x-ratelimit-reset-tokens: - - 2.659s + - 2.346s x-request-id: - - 8c1047a3869dd35199ad5073dcb2e19f + - 7efa7a4b949a3c79b750abf348c98545 status: code: 200 message: OK @@ -1634,146 +1350,4 @@ interactions: status: code: 200 message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are write_to_file-GPT, an AI designed to use the write_to_file command to write - ''Hello World'' into a file named \"hello_world.txt\" and then use the task_complete - command to complete the task.\nYour decisions must always be made independently - without seeking user assistance. Play to your strengths as an LLM and pursue - simple strategies with no legal complications.\n\nGOALS:\n\n1. Use the write_to_file - command to write ''Hello World'' into a file named \"hello_world.txt\".\n2. - Use the task_complete command to complete the task.\n3. Do not use any other - commands.\n\n\nConstraints:\n1. ~4000 word limit for short term memory. Your - short term memory is short, so immediately save important information to files.\n2. - If you are unsure how you previously did something or want to recall past events, - thinking about similar events will help you remember.\n3. No user assistance\n4. - Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. - append_to_file: Append to file, args: \"filename\": \"\", \"text\": - \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. - list_files: List Files in Directory, args: \"directory\": \"\"\n4. - read_file: Read a file, args: \"filename\": \"\"\n5. write_to_file: - Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List - GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created"}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I need to use the write_to_file - command to write ''Hello World'' into a file named ''hello_world.txt''.\",\n \"reasoning\": - \"The task requires me to write ''Hello World'' into a file named ''hello_world.txt'', - and the write_to_file command is the appropriate command for this task.\",\n \"plan\": - \"- Use the write_to_file command to write ''Hello World'' into a file named - ''hello_world.txt''.\",\n \"criticism\": \"I need to ensure that I use - the correct filename and text to write to the file.\",\n \"speak\": \"I - will use the write_to_file command to write ''Hello World'' into a file named - ''hello_world.txt''.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": - {\n \"filename\": \"hello_world.txt\",\n \"text\": \"Hello - World\"\n }\n }\n}"}, {"role": "system", "content": "Command write_to_file - returned: File written to successfully."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}], - "temperature": 0, "max_tokens": 0}' - headers: - AGENT-MODE: - - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F - AGENT-TYPE: - - Auto-GPT-2023-X-TYPE - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '4608' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA7RSTY/TMBC98ytGc+nFrdIt3W1z3gMFhEAsAomgynWmialjB3uyLVT57yhfSlm+ - tBLcrHkzb94bvzPqFGNUuWRVlGZ682K1Wbrs9e559u0N3Z5kulqsX76yiw/7p7co0O0+k+J+YqZc - URpi7SwKVJ4kU4rx/Hq1jBZXN6ulwMKlZDDGrOTpYraccuV3bhotojkKrILMCOMzlt4VJW/ZHcgG - jOfRfC1wJB+B9bVAdizNWLqaL2uBKndaUcD44xkLCgOxd4YwRhmCDiwtNzKdZbKNhXNiAQAS5NxV - Wc4hwRj6Yg/QiZtighvI5T1BqJSiEPaVMV/h6DUzWZg8I2McvHfepBPQlh1I2GtDYGVBKUzyBt8e - G3zGJ57M4C4nsHRiUK4opE2BHVSBQAdgGQ7b3js19fGdU4vOEhSXKj3J4Ky2WSf1rm8DT18q7SlA - 0fI0cunxYqGVl5P9hRB4q60i+NNx2LXtzQbRvv6Z7dJI2zmewrsw9o0sF1v+yqa8Zq10KIb/tkTt - JNlQ+WZOMmyg9O5epwQSuqvD3vmBXNvst/ShJHkYqI/amNb3oyV3lLUYktu3/xTc5i+7bT/QPxAl - ffYw85eJ+h/JHyy0Nno3ia2xFrjXVod82+3GGAO7EgVqm9IJ46j+VD/5DgAA//8DAEzr6k6uBAAA - headers: - Access-Control-Allow-Origin: - - '*' - Alt-Svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 - Cache-Control: - - no-cache, must-revalidate - Cf-Cache-Status: - - DYNAMIC - Cf-Ray: - - 7ccf375fc9d722fa-ORD - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:40:09 GMT - Function-Execution-Id: - - 7njtjm585176 - Openai-Model: - - gpt-3.5-turbo-0301 - Openai-Organization: - - significant-gravitas - Openai-Processing-Ms: - - '23074' - Openai-Version: - - '2020-10-01' - Server: - - Google Frontend - Strict-Transport-Security: - - max-age=15724800; includeSubDomains - Vary: - - Accept-Encoding - X-Cloud-Trace-Context: - - a109cbb5ab4df2d87027b8c5f8164ec6;o=1 - X-Powered-By: - - Express - X-Ratelimit-Limit-Requests: - - '3500' - X-Ratelimit-Limit-Tokens: - - '90000' - X-Ratelimit-Remaining-Requests: - - '3499' - X-Ratelimit-Remaining-Tokens: - - '86005' - X-Ratelimit-Reset-Requests: - - 17ms - X-Ratelimit-Reset-Tokens: - - 2.663s - X-Request-Id: - - be08be2b323450d07d6f732efe93b0a2 - status: - code: 200 - message: OK version: 1 diff --git a/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml b/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml deleted file mode 100644 index a90760442ee..00000000000 --- a/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml +++ /dev/null @@ -1,4779 +0,0 @@ -interactions: -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n13. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '3282' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA5SSyY7aQBCG73mKUp1tBCEs41sSRQjlNppIWTxCjV22O9PudrrKAYL87lFjzEQw - GinXv5b/q+WIOscEs0pJVjcmXqzvdytn14vVt7vp992WHz63qw+/v36S9cd7jNBtf1Im54pR5urG - kGhnMcLMkxLKMZnMl+/m08l8No+wdjkZTLBsJJ6OZrG0fuvi8XQ8wQhbViVhcsTGu7qRjbgnsozJ - 4u1dhM+9L/okdBQnylyk5XLWRZhVTmfEmPw4Yk08tPXOECaomDWLshIgnRWyYYBjagEAUpTKtWUl - nGICZ/EcoL0EMcU1cOVakwOL8gLbA3hSubYlSEWgLYtvs4DKm8lI9gKFNgQtDxkhe3PSMlfXyuaj - FKN/rTwpdlbbsvd7qAgK7VmAhRrQDOKgtTn5MEd+4wpB3FVKQqqnX632lIMroKZrp8Yo25vE8IXp - ZbxgF8TXxktTG8N7q8zhD70MlJOQr7Xtw5b2/Th8RZR5LTrTXA+7tkQnArLc+lCsBNZQtMYcXl3C - lgrnCRrvMqL+Ou7K+nob3JB6Gnx32pj/uvAoxb5ZFw3PdF7gzS9ZVVPvc1n2FYry5fUL9oGQ+1x+ - izJAnEDOPKntsIuw0FZztem/CxNkcQ1GqG1Oe0zG3WP35i8AAAD//wMA2ddSQwEEAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f62c2bee313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:14:28 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '11555' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86494' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.336s - x-request-id: - - 7cc7737a077abeb1f4e9117975dfb9c1 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Your - task is to create a concise running summary of actions and information results - in the provided text, focusing on key and potentially important information - to remember.\n\nYou will receive the current summary and the your latest actions. - Combine them, adding relevant key information from the latest development in - 1st person past tense and keeping the summary concise.\n\nSummary So Far:\n\"\"\"\nI - was created.\n\"\"\"\n\nLatest Development:\n\"\"\"\nNothing new happened.\n\"\"\"\n"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '599' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOzUoDMRRG9z5F+NaZMrF/NjvRTXdSsSAiJc1cZ6IzuXFyS1vLvLsUqt0eOIdz - Qqhg4RsnvkttMV+u9mv6zquH5x+qH810KhNe3x8Pry9PR2jw9pO8XIyR5y61JIEjNHxPTqiCNbO7 - yWxsZnOj0XFFLSzqJMV4NC1k12+5KMelgcYuu5pgT0g9d0k2wl8UM+ziVuOavmINYXHtPzClGTR8 - w8FThn07oaP81+y5JVi4nEMWF+V8yFEonu+Xau+yuhwrFysVWZoQaxVprxqXVeNSokjVCIPGR4gh - N5ueXOYIiyycoBFiRQfYcngfbn4BAAD//wMAmYjYl0kBAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f6881eab313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:14:32 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '1017' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89866' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 88ms - x-request-id: - - e9912526fc04146baa08a05745789e1c - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n13. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nI was created and nothing new - has happened."}, {"role": "user", "content": "Determine which next command to - use, and respond using the format specified above:"}, {"role": "assistant", - "content": "{\n \"thoughts\": {\n \"text\": \"I should start by reading - the instructions_1.txt file using the read_file command.\",\n \"reasoning\": - \"The first step is to understand the instructions and what is required of me.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I fully understand the instructions before proceeding to - the next steps.\",\n \"speak\": \"I will start by reading the instructions_1.txt - file.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": - {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\r\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}], "temperature": - 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '4419' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA6SSQW/bMAyF7/sVBM92ECdtuvnWAjvkWmQYhnkIFJm2tcqUJ9GI28D/fXCcNK0z - DAN2fSTf+yjxgCbHFHWlRNeNje/Wj/uvvzbdiyq7x28Pm3Zpb3bzh8/36nZdYYRu95O0nCZm2tWN - JTGOMULtSQnlmCarjzerZbK6W0RYu5wsplg2Ei9nt7G0fufi+XKeYIRtUCVhesDGu7qRrbgn4oDp - p1US4cX7VU8GXZwoe5GSxaKPUFfOaAqYfj9gTeHs650lTFGFYIIoloHSsRAPGxwyBgDIUCrXlpWE - DFM4iacCdTKIGa6BiXIQB55UDlIRGA7iWz0Ahu1iJp1AYSxBGwyXx46hdXvUtKtrxfksw+itvycV - HBsux5DNX1wHbGU4HI2ZOoFAAq54NwBSKYELa+GsdftpamMVj4ExfAn0Z9R/WTXLOIZ7Vvb5ha76 - YDDJScjXhukNtlATJkTaGzHahHr62MSh9XReq2itfYaWc/LDb16zwY4K5wka7zRRfvwHN4mevkZo - SD2dc/fG2v/94dG8j87XdapcHRermsbcV5cJmvLl9CbHwtB7Gb/GPEMcQU48GffYR1gYNqHajpeH - KQZxDUZoOKcO03n/o//wGwAA//8DALRhJ3cTBAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f6916aeb313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:14:45 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '13200' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86470' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.353s - x-request-id: - - 13087de20c75011601dacf71bc0bd2f3 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Your - task is to create a concise running summary of actions and information results - in the provided text, focusing on key and potentially important information - to remember.\n\nYou will receive the current summary and the your latest actions. - Combine them, adding relevant key information from the latest development in - 1st person past tense and keeping the summary concise.\n\nSummary So Far:\n\"\"\"\n{''role'': - ''system'', ''content'': ''This reminds you of these events from your past: - \\nI was created and nothing new has happened.''}\n\"\"\"\n\nLatest Development:\n\"\"\"\nNothing - new happened.\n\"\"\"\n"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '713' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: "{\n \"error\": {\n \"message\": \"That model is currently overloaded - with other requests. You can retry your request, or contact us through our - help center at help.openai.com if the error persists. (Please include the - request ID a73e800f9a4efa08668a838196d2950d in your message.)\",\n \"type\": - \"server_error\",\n \"param\": null,\n \"code\": null\n }\n}\n" - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f6f52c0d313e-SOF - Connection: - - keep-alive - Content-Length: - - '349' - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:15:18 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '30010' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89839' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 107ms - x-request-id: - - a73e800f9a4efa08668a838196d2950d - status: - code: 429 - message: Too Many Requests -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Your - task is to create a concise running summary of actions and information results - in the provided text, focusing on key and potentially important information - to remember.\n\nYou will receive the current summary and the your latest actions. - Combine them, adding relevant key information from the latest development in - 1st person past tense and keeping the summary concise.\n\nSummary So Far:\n\"\"\"\n{''role'': - ''system'', ''content'': ''This reminds you of these events from your past: - \\nI was created and nothing new has happened.''}\n\"\"\"\n\nLatest Development:\n\"\"\"\nNothing - new happened.\n\"\"\"\n"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '713' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SPTWsCQRBE7/kVTZ9nZdc1msxNEEUIxITkICHIONtxN85OT2bajyD734Ng9FpU - PV6dsKlQo62N2Da4bDR/PT71l2/j5/fN43LyMt0vthOfF9PZz2yBCnn9TVYui57lNjiShj0qtJGM - UIW6GD4MhmUx6pcKW67IocZNkKzs3Weyi2vO8jIvUOEumQ2hPmGI3AZZCW/JJ9RFP1d4Y1/zcyws - xt2ag7xTaGtuLCXUHydsKf1TIztCjSalJonxcnZkL+TP/uMEBtJvEmoVzCGSNc6B1EZgDgeT4HIH - jK9AaooEtdkTrIk8eAZPB6hoT45DS14SCEOkwFF62Cn8anyT6lUkk9ijxiQcUGHjKzqizrvP7u4P - AAD//wMAmH2nWHsBAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f7cdac76313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:15:24 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '1554' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89839' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 107ms - x-request-id: - - 2bcd88e9e8bce8177b8e694d44cd16fc - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n13. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nAs a system, I recall that I was - created and there have been no new developments to report."}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file using the read_file - command.\",\n \"reasoning\": \"The first step is to understand the instructions - and what is required of me.\",\n \"plan\": \"- Use the read_file command - to read the instructions_1.txt file\\n- Analyze the instructions and determine - the next steps\",\n \"criticism\": \"I need to ensure that I fully understand - the instructions before proceeding to the next steps.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: This task_id is 2314\r\nRead the file instructions_2.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_2.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_2.txt file - contains the next set of instructions that I need to follow.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I fully understand the instructions before proceeding to - the next steps.\",\n \"speak\": \"I will read the instructions_2.txt - file using the read_file command.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '5468' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA6SSXYvTUBCG7/0Vh7lOSmPcVnMnIliQBcUFdSPl9GSSHHsyE86ZsF1L/rukSe2a - igjezsf7PvNxBFtABqbWYprWxevNx8Nt+Vbvv6yWZf35/e3dK/Jf3xj37sNGIALefUcjU8fCcNM6 - FMsEERiPWrCALFm9fLFKk/XzmwgaLtBBBlUrcbq4iaXzO46X6TKBCLqgK4TsCK3nppWt8B4pQJYk - 61UEF/FLYpVEICzaXUJpuu4jMDVbgwGy+yM0GM7Cnh1CBjoEG0TTMIFhEqRhhGNOSimVg9TcVbWE - HDI1BacEHmQI5rBRhFgoYeVRF0pqVJaC+M4MgGGbLuQgqrQOVRcsVaeKoXR7ihluGk3FIofoqb5H - HZgsVaPJp7+oDtjaUjgJEx5EBRTF5W8NSmot6sJasnP8MHdtnabRMFZ3Af+M+i+j5jnF6jVp9/gD - r+rUIFKgoG8s4RNswTbMiIy3Yo0NzXzZSKHzeB6r7Jx7VB0V6IdrXrOpHZbsUbWeDWJxugPPrOfb - CC3q/dn3wTr3vxcexfvo/F1T5uq5SDc4+v5SmaFpX81/ckwMtZf2a8wzxAlk4smphz6C0pIN9Xb8 - PMggCLcQgaUCD5At+2/9s58AAAD//wMA0m5dIxQEAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f7d89a64313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:15:37 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '12147' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86457' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.362s - x-request-id: - - 7d145f8982be5decde986f8f3ae9b1e1 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Your - task is to create a concise running summary of actions and information results - in the provided text, focusing on key and potentially important information - to remember.\n\nYou will receive the current summary and the your latest actions. - Combine them, adding relevant key information from the latest development in - 1st person past tense and keeping the summary concise.\n\nSummary So Far:\n\"\"\"\n{''role'': - ''system'', ''content'': ''This reminds you of these events from your past: - \\nAs a system, I recall that I was created and there have been no new developments - to report.''}\n\"\"\"\n\nLatest Development:\n\"\"\"\nNothing new happened.\n\"\"\"\n"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '761' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SPTUvDQBRF9/6K4a4nJWn6obPrwkUVRV2IIFKmk2cyNpk3ZF5rS8l/l4qS7YF7 - OPcMX8HANVZcF9tsuX45uunbqpo+Hl5v7w93ZZzWz7sHe1rePEGDt1/k5G8xcdzFlsRzgIbryQpV - MMXierYoi+Us1+i4ohYGdZSsnMwz2fdbzvIyL6CxT7YmmDNiz12UjfCOQoIpykJjdI98riEsth3J - bDFouIa9owTzfkZH6d/ac0swsCn5JDbIpZGDULj0r5KyKp2SUKfVWvXkbNsqaayowNL4UKtA36qx - STU2RgpUqeSDI9Wd1O9Vz2GCQePTB5+aTU82cYBBEo7Q8KGiI0w+fAxXPwAAAP//AwDlYq8fZgEA - AA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f835ef47313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:15:41 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '1511' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89827' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 115ms - x-request-id: - - 5dad92e7ce5734a1e14ff1816067b8c8 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n13. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nAs a system, I recall that nothing - new has happened since my creation."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}, - {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file using the read_file - command.\",\n \"reasoning\": \"The first step is to understand the instructions - and what is required of me.\",\n \"plan\": \"- Use the read_file command - to read the instructions_1.txt file\\n- Analyze the instructions and determine - the next steps\",\n \"criticism\": \"I need to ensure that I fully understand - the instructions before proceeding to the next steps.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: This task_id is 2314\r\nRead the file instructions_2.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_2.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_2.txt file - contains the next set of instructions that I need to follow.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I fully understand the instructions before proceeding to - the next steps.\",\n \"speak\": \"I will read the instructions_2.txt - file using the read_file command.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_3.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_3.txt file - contains the next set of instructions that I need to follow.\",\n \"plan\": - \"- Use the read_file command to read the instructions_3.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I fully understand the instructions before proceeding to - the next steps.\",\n \"speak\": \"I will read the instructions_3.txt - file using the read_file command.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_3.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Write the task_id - into the file output.txt\r\nShutdown"}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '6470' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA6xSy27bMBC89yuIPVOGVT+S6AvqU4GmLVBUhcFQG4kxuauSK9iooX8vZNlwoqAH - A73OcGdml3MEV0EBtjFiQ+uzu82XQxU2n/fm4T48uqXP/cv3Bv+sqk8/BDTw0wtaOU/MLIfWozgm - 0GAjGsEKinx9v1wv8rtlriFwhR4KqFvJFrNVJl184my+mOegoUumRiiO0EYOrWyFd0gJinxx96Dh - Kn4l1msNwmL8FVotV70G27CzmKD4eYSA6SIc2SMUYFJySQwNG1gmQRpWOJaklFIlSMNd3UgqoVBn - 8EzgQQawhI0ixEoJq310gkoaVGLSbusq5Uj4BHAnbSczOYh6dh5VlxzVJ+Y0tBXennDLIRiqZiXo - 124RTWJyVI+WXxtUjpLEzg5HSCri785FVAFvyzH1ab2h0SJT3xL+O+BtNmVJmXpsOql4TxNLG504 - 61KYXhMpdXHQN6I2r8wsx4hWbt4ttWh2F5O98/7//tdo1etLc87Mu+KQCTimeKM0CWtiPe3cSAxv - rxLXmG/mpxX9uMiXl4SnlOewJfXQa3h25FKzHUsGBSThFjQ4qvAAxbz/1X/4CwAA//8DALYwIcUN - BAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f8408fbb313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:15:53 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '12090' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86458' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.36s - x-request-id: - - a5f70c956e20dee73bf6f83f3ca1b262 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Your - task is to create a concise running summary of actions and information results - in the provided text, focusing on key and potentially important information - to remember.\n\nYou will receive the current summary and the your latest actions. - Combine them, adding relevant key information from the latest development in - 1st person past tense and keeping the summary concise.\n\nSummary So Far:\n\"\"\"\n{''role'': - ''system'', ''content'': ''This reminds you of these events from your past: - \\nAs a system, I recall that nothing new has happened since my creation.''}\n\"\"\"\n\nLatest - Development:\n\"\"\"\nNothing new happened.\n\"\"\"\n"}], "temperature": 0, - "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '740' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SPMW/CMBBG9/4K62YHkQKh8tZOZWBhq6oKuc4Rmzp3bu4QRCj/vaJqxfqk7+l9 - V0gtOAjRa+hLrtab3UVQRzlr+3o8rHflbUO5exm38XsLFvjziEH/FrPAfcmoiQkshAG9Yguubp6W - zaJerxoLPbeYwUFXtFrMVpWehk+u5ot5DRZO4jsEd4UycF90r/yFJODqx8bC3X3nKwvK6vOdLOvJ - QoicAgq49yv0KP/WgTOCAy+SRD3prZFJkW79z2K8kVEUe2s2ZsDgczYavRpijYk6Q3g20YuJvhQk - bI0kCmj60fxeTUwzmCwcEiWJ+wG9MIEDUS5gIVGLF3Dz6WN6+AEAAP//AwCfo6VWZgEAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f89d1b52313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:15:58 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '1539' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89832' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 112ms - x-request-id: - - 8885d0872614ba24235f88115811c52a - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n13. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nAs a system, I recall that nothing - new has happened since my creation."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}, - {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file using the read_file - command.\",\n \"reasoning\": \"The first step is to understand the instructions - and what is required of me.\",\n \"plan\": \"- Use the read_file command - to read the instructions_1.txt file\\n- Analyze the instructions and determine - the next steps\",\n \"criticism\": \"I need to ensure that I fully understand - the instructions before proceeding to the next steps.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: This task_id is 2314\r\nRead the file instructions_2.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_2.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_2.txt file - contains the next set of instructions that I need to follow.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I fully understand the instructions before proceeding to - the next steps.\",\n \"speak\": \"I will read the instructions_2.txt - file using the read_file command.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_3.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_3.txt file - contains the next set of instructions that I need to follow.\",\n \"plan\": - \"- Use the read_file command to read the instructions_3.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I fully understand the instructions before proceeding to - the next steps.\",\n \"speak\": \"I will read the instructions_3.txt - file using the read_file command.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_3.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Write the task_id - into the file output.txt\r\nShutdown"}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}, - {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I need to write the task_id into the output.txt file using the write_to_file - command.\",\n \"reasoning\": \"The instructions require me to write the - task_id into the output.txt file.\",\n \"plan\": \"- Use the write_to_file - command to write the task_id into the output.txt file\\n- Shutdown\",\n \"criticism\": - \"I need to ensure that I write the correct task_id into the output.txt file.\",\n \"speak\": - \"I will write the task_id into the output.txt file using the write_to_file - command.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": - {\n \"filename\": \"output.txt\",\n \"text\": \"2314\"\n }\n }\n}"}, - {"role": "system", "content": "Command write_to_file returned: File written - to successfully."}, {"role": "user", "content": "Determine which next command - to use, and respond using the format specified above:"}], "temperature": 0, - "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '7465' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA5SSza7TMBBG9zzFaNZp1ar0tsqOxV0UJCSqi4REUOU6k8TUsYNnTIuqvDvKz6Vt - EAu2M8o53+fJFU2OKepKia4bO9vs9pfo3+e2qD7a1f5TuXj+snfNy/rZfmBM0B+/k5bxi7n2dWNJ - jHeYoA6khHJMl0/bt0+r5Wa9TbD2OVlMsWxktpqvZxLD0c8Wq8USE4ysSsL0ik3wdSMH8SdyjOly - vd0keIPfFqtFguJF2dtos9y0CerKG02M6dcr1sSv4OAtYYqK2bAoJ11M74RcV+GaOQCADKXysayE - M0xhHI4Lukg3zHAHjigH8cBVlNyfHUQ2rgSpCETx6TDGJdC+rpXL5xkm96xAir0zrhyALxWBcSwh - 6q4iQ6Af0QSCmh4sqhAKcA5GHmwmB+PE9wMfpYkyl4tAYSxNxY1VbnDO4DPTvxPfeycM3fm14Xr6 - GuQ4ho6pBHZQqZ89rcfmoKztbWO1vNcyHKnwgXpVX6rzTUNzQ+r0Kjsba//n3QdQm7zed9z8dV6n - ahocD6RJFBXK6Z9xf9EB8K6r2re71eeoNTEX0dpff1L1ycaAmWuxTbAwznB1GHCYIotvMEHjcrpg - umi/tW9+AwAA//8DAMizuHGnAwAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ca8f8a7ea59313e-SOF - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Sun, 21 May 2023 01:16:07 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-gsghk4kr5xmbjprowdzr8zt2 - openai-processing-ms: - - '9391' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86464' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.356s - x-request-id: - - 2e3c14cd6285c662dde517d25194a06f - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}], - "temperature": 0, "max_tokens": 0}' - headers: - AGENT-MODE: - - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F - AGENT-TYPE: - - Auto-GPT-2023-X-TYPE - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '3284' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA6SSTW/aQBCG7/0VoznbCAohxLeop0StegmHqq7Qsh7bG/bD2h0LO8j/vdoYSAsV - l17n633emTmgKjBDWQuWptHp/fO3r7z88rh23/sfvVJv69fw8vl5ZxZdUWKCbvtKko8dE+lMo4mV - s5ig9CSYCsxmy9VitVjdTR8SNK4gjRlWDafzyV3Krd+6dDqfzjDBNoiKMDtg451peMNuRzZgdj+f - Jvgx+xyfLWcJsmOhz6HVw2xIUNZOSQqY/TygoXAa650mzFCEoAILyxHSWSYbDRxyCwCQI9eurWoO - OWZwDB4T1HEM5vgEoXatLiCw8AzbHjyJQtkKuCZQNrBvZUQNm9mEO4ZSaQJ2UBCTN8oS7GvBIMai - mGGxI7DU8STH5E9VTyI4q2w1Sr/cEIhmhIrz6jhLRue+B2VL542I5X8zjGUdQ2BqwqVwo4UdNVNY - h7E62twctYwRtogDY/CW8Ty3KTxaofs3uqq7RXQBJL1iJVUwpyNYoncAsqH1sVkwPIEwUDqt3f5f - 9wAhZesFk+4h4lNZKqnIsu4v/YeGxO4ktVda/8e1rzY9Cg3J6emO67z6OSsMjQzn1V9gCl9dvuqY - iLUf7deYJ4h3kCNPbgccEiyVVaHejK+HGQZ2DSaobEEdZtPh1/DpNwAAAP//AwBBklTnKQQAAA== - headers: - Access-Control-Allow-Origin: - - '*' - Alt-Svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 - Cache-Control: - - no-cache, must-revalidate - Cf-Cache-Status: - - DYNAMIC - Cf-Ray: - - 7cbda46dcdfe13f2-ORD - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 23 May 2023 13:28:48 GMT - Function-Execution-Id: - - f495yye134fc - Openai-Model: - - gpt-3.5-turbo-0301 - Openai-Organization: - - significant-gravitas - Openai-Processing-Ms: - - '19439' - Openai-Version: - - '2020-10-01' - Server: - - Google Frontend - Strict-Transport-Security: - - max-age=15724800; includeSubDomains - Vary: - - Accept-Encoding - X-Cloud-Trace-Context: - - 84cce4a68c05919b6fe5a262ed4a2f23;o=1 - X-Powered-By: - - Express - X-Ratelimit-Limit-Requests: - - '3500' - X-Ratelimit-Limit-Tokens: - - '90000' - X-Ratelimit-Remaining-Requests: - - '3499' - X-Ratelimit-Remaining-Tokens: - - '86494' - X-Ratelimit-Reset-Requests: - - 17ms - X-Ratelimit-Reset-Tokens: - - 2.336s - X-Request-Id: - - d999eccb67e039480b5f0d38b5dc5b63 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nI was created and nothing new - has happened."}, {"role": "user", "content": "Determine which next command to - use, and respond using the format specified above:"}, {"role": "assistant", - "content": "{\n \"thoughts\": {\n \"text\": \"I should start by reading - the instructions_1.txt file to determine what actions to take next.\",\n \"reasoning\": - \"The instructions_1.txt file contains the necessary information to determine - the next steps.\",\n \"plan\": \"- Use the read_file command to read - the instructions_1.txt file\\n- Analyze the instructions to determine the next - steps\",\n \"criticism\": \"I need to ensure that I am following the - instructions accurately and efficiently.\",\n \"speak\": \"I will start - by reading the instructions_1.txt file to determine the next steps.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - AGENT-MODE: - - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F - AGENT-TYPE: - - Auto-GPT-2023-X-TYPE - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '4459' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA4ySQW/aQBCF7/0VoznbCEJCqG9FUSqKcqkSKVIdoWU9trdZz1q7YwWK/N8rYwgp - iCrXmXnzvtl9WzQZJqhLJbqqbXz74+Hh+2xTL2bPzXNe0t3j4u5+pYZPPxeze4zQrX6Tlr1ioF1V - WxLjGCPUnpRQhsloMr2eXk9vxlcRVi4jiwkWtcTjwU0sjV+5eDgejjDCJqiCMNli7V1Vy1LcK3HA - 5OvkNsLj7vf6aDKJUJwoeyyNxuM2Ql06oylg8muLFYXDXu8sYYIqBBNEsXSUjoW4u2CbMgBAilK6 - piglpJjAvrhv0Fq6YoqPJQHTWsBwEN/oDgtMAHHgSWUgJX1sheXVQNYCubE0gDmE0jU2gybQbrKT - LLseaFdVirN/9uxEKUYfSTyp4NhwccS5YAfdgcpw2O1i0t1r+A0Yzp2v1A5cHGQk5CvDtB9bCwSh - Opwa11Zx7xnD06fwL3ClKcfwjZXd/KGzuf8RnQBpb8RoE6qeag5MtAMgDo3vxEpgDqqC3Fnr3gwX - 53ZK68YrIbuBDp/y3GhDLHZzen+oSb0erN6MtZ/8xEthSLHf3kaH9O3VZ+FjVVFv/O50wqZ8cZrZ - vtHNHuXnKAeIHcieJ+UW2whzwyaUyz5vmGAQV2OEhjNaYzJsX9ovfwEAAP//AwDl8KHQMwQAAA== - headers: - Access-Control-Allow-Origin: - - '*' - Alt-Svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 - Cache-Control: - - no-cache, must-revalidate - Cf-Cache-Status: - - DYNAMIC - Cf-Ray: - - 7cbda4ffadae111a-ORD - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 23 May 2023 13:29:11 GMT - Function-Execution-Id: - - f495u7ofauc1 - Openai-Model: - - gpt-3.5-turbo-0301 - Openai-Organization: - - significant-gravitas - Openai-Processing-Ms: - - '18627' - Openai-Version: - - '2020-10-01' - Server: - - Google Frontend - Strict-Transport-Security: - - max-age=15724800; includeSubDomains - Vary: - - Accept-Encoding - X-Cloud-Trace-Context: - - 9f90e5f759c4963f38509965c99deef1;o=1 - X-Powered-By: - - Express - X-Ratelimit-Limit-Requests: - - '3500' - X-Ratelimit-Limit-Tokens: - - '90000' - X-Ratelimit-Remaining-Requests: - - '3499' - X-Ratelimit-Remaining-Tokens: - - '86466' - X-Ratelimit-Reset-Requests: - - 17ms - X-Ratelimit-Reset-Tokens: - - 2.356s - X-Request-Id: - - b789df6a372f156ab649b8822388cf4b - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nAs a system, I recall that I was - created and there have been no new developments to report."}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file to determine what actions - to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains - the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file to determine the next - steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": - {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}, {"role": - "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next - instruction is to read the instructions_2.txt file. I should use the read_file - command to read the file.\",\n \"reasoning\": \"The instructions_2.txt - file contains the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - AGENT-MODE: - - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F - AGENT-TYPE: - - Auto-GPT-2023-X-TYPE - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '5540' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA4yST2/bMAzF7/sUBM92kMxJmvm2YZcUa4EB62keAlWmba0yZUg0mj/wdx8cO0uX - IEOvJB/fj9I7oMkxRV0p0XVj47v7h4eK8unT6tF++Zrcmb3kC/P47fv84/0eI3TPv0nLqJhoVzeW - xDjGCLUnJZRjOluu5qv5arH4FGHtcrKYYtlInEwWsbT+2cXTZDrDCNugSsL0gI13dSMbcS/EAdPZ - bHUX4Xn5ubFcRihOlD2XkkXSRagrZzQFTH8esKZwWuydJUxRhWCCKJYe07EQ9yccMgYAyFAq15aV - hAxTGItjg7bSFzP8UREwbQUMB/Gt7rHABBAHnlQOUtHbVtgkE9kKFMbSBNYQKtfaHNpAx8lesul7 - oF1dK87/2XMUZRi9JfGkgmPD5Rnnhh30ByrD4biLSfev4XdguHC+VkdwcZCTkK8N0zi2FQhCTbg0 - bqziwTOGp3fh3+DKMo7hMyu729PV3P+ILoC0N2K0CfVAtQYmOgIQh9b3YiWwBlVD4ax1r4bLazul - deuVkN1Bj09FYbQhFru7vD80pF5OVq/G2nd+4q0wZDhs76JT+kb1VfhY1TQY/3W6YFO+vMzs0Ohn - z/JrlBPEEWTkybjDLsLCsAnVZsgbphjENRih4Zy2mE67X92HPwAAAP//AwBqGZrbNAQAAA== - headers: - Access-Control-Allow-Origin: - - '*' - Alt-Svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 - Cache-Control: - - no-cache, must-revalidate - Cf-Cache-Status: - - DYNAMIC - Cf-Ray: - - 7cbda5ab893210d0-ORD - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 23 May 2023 13:29:39 GMT - Function-Execution-Id: - - f495scdawjjo - Openai-Model: - - gpt-3.5-turbo-0301 - Openai-Organization: - - significant-gravitas - Openai-Processing-Ms: - - '19949' - Openai-Version: - - '2020-10-01' - Server: - - Google Frontend - Strict-Transport-Security: - - max-age=15724800; includeSubDomains - Vary: - - Accept-Encoding - X-Cloud-Trace-Context: - - 0128c66c9918142a24cd829bbc2b234a;o=1 - X-Powered-By: - - Express - X-Ratelimit-Limit-Requests: - - '3500' - X-Ratelimit-Limit-Tokens: - - '90000' - X-Ratelimit-Remaining-Requests: - - '3499' - X-Ratelimit-Remaining-Tokens: - - '86449' - X-Ratelimit-Reset-Requests: - - 17ms - X-Ratelimit-Reset-Tokens: - - 2.367s - X-Request-Id: - - 438ac4200d6062dd394f5ffe9944af58 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nAs a system, I recall that nothing - new has happened since my creation."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}, - {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file to determine what actions - to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains - the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file to determine the next - steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": - {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}, {"role": - "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next - instruction is to read the instructions_2.txt file. I should use the read_file - command to read the file.\",\n \"reasoning\": \"The instructions_2.txt - file contains the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"The next instruction is to read the instructions_3.txt file. I should use - the read_file command to read the file.\",\n \"reasoning\": \"The instructions_3.txt - file contains the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_3.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_3.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_3.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Write the task_id into the file output.txt\nShutdown"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - AGENT-MODE: - - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F - AGENT-TYPE: - - Auto-GPT-2023-X-TYPE - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '6572' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA6SSTW/bMAyG7/sVBM9OkDRxm/ncQzNgA4atl86DocisrcYWBYlGswX+74M/Ajdp - MWzolRTf5yHEI5ocE9SlEl27anbz6fOXm6/fdg/r+9tf1pT50902/s18fftAFiPk3RNpGSfmmmtX - kRjuWtqTEsoxWV5v1pv1Jt7EEdacU4UJFk5mq3k8k8bveLZYLZYYYRNUQZgc0XmunWTCe7IBk+Xq - YxzhFD41ukhhUdVUijeLNkJdstEUMPlxxJrCKdhzRZigCsEEUVY6TbZCtlvhmFoAgBSl5KYoJaSY - wFgcG3SQrpji95LA0kHA2CC+0Z0WmADC8OyNEEhJICrsM5ODscJ94dFUBNyIa2QuB5nDFkLJTZVD - E4aRfjgTzvqnmuta2fwfUucpRi9NPanA1thi0n07unMuCZRznp03Ss6ovdZf4dM2b3q4StlBYQb3 - 79jxAnNB0d6I0SbUA2oLlqhPJBsa30UqgS2oukcYW/SZmr0nLf+9U3Ck9ifSs6mqd/3ea9jAaqPT - OY45r67RqpoGjTPuha3yxeUhD43u7RQxaZzNX9791Wq5Phn2lqNsaltsI3w01oQyG64PEwzCDiM0 - NqcDJov2Z/vhDwAAAP//AwA/k/r4YgQAAA== - headers: - Access-Control-Allow-Origin: - - '*' - Alt-Svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 - Cache-Control: - - no-cache, must-revalidate - Cf-Cache-Status: - - DYNAMIC - Cf-Ray: - - 7cbda64a0d8b1049-ORD - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 23 May 2023 13:30:12 GMT - Function-Execution-Id: - - f4955nyjuij9 - Openai-Model: - - gpt-3.5-turbo-0301 - Openai-Organization: - - significant-gravitas - Openai-Processing-Ms: - - '27188' - Openai-Version: - - '2020-10-01' - Server: - - Google Frontend - Strict-Transport-Security: - - max-age=15724800; includeSubDomains - Vary: - - Accept-Encoding - X-Cloud-Trace-Context: - - 1d7fa6a5187cc4d84806587407f4d630;o=1 - X-Powered-By: - - Express - X-Ratelimit-Limit-Requests: - - '3500' - X-Ratelimit-Limit-Tokens: - - '90000' - X-Ratelimit-Remaining-Requests: - - '3499' - X-Ratelimit-Remaining-Tokens: - - '86449' - X-Ratelimit-Reset-Requests: - - 17ms - X-Ratelimit-Reset-Tokens: - - 2.367s - X-Request-Id: - - 99ec79bb56359aebe30013d596125a19 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nAs a system, I recall that nothing - new has happened since my creation."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}, - {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file to determine what actions - to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains - the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file to determine the next - steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": - {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}, {"role": - "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next - instruction is to read the instructions_2.txt file. I should use the read_file - command to read the file.\",\n \"reasoning\": \"The instructions_2.txt - file contains the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"The next instruction is to read the instructions_3.txt file. I should use - the read_file command to read the file.\",\n \"reasoning\": \"The instructions_3.txt - file contains the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_3.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_3.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_3.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Write the task_id into the file output.txt\nShutdown"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"The next instruction is to write the task_id into the - file output.txt. I should use the write_to_file command to write the task_id - into the file.\",\n \"reasoning\": \"The write_to_file command is the - appropriate command to use to write the task_id into the output.txt file.\",\n \"plan\": - \"- Use the write_to_file command to write the task_id into the output.txt file\",\n \"criticism\": - \"I need to ensure that I am writing the correct task_id into the output.txt - file.\",\n \"speak\": \"I will use the write_to_file command to write - the task_id into the output.txt file.\"\n },\n \"command\": {\n \"name\": - \"write_to_file\",\n \"args\": {\n \"filename\": \"output.txt\",\n \"text\": - \"2314\"\n }\n }\n}"}, {"role": "system", "content": "Command write_to_file - returned: File written to successfully."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}], - "temperature": 0, "max_tokens": 0}' - headers: - AGENT-MODE: - - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F - AGENT-TYPE: - - Auto-GPT-2023-X-TYPE - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '7652' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA5yST28aMRDF7/0UozkbBAQC2VtV9UCl5JQeqlIh453ddfHaK89sCUH73av9k0Bp - q1Y5esb+vec3c0KbYoKm0GLKyo2Wn+4f6G7xoB+zcvdB+Hk+u19/yT4+yyK9Q4Vh952MDC/GJpSV - I7HBo0ITSQulmExvV/PVfHU7XSksQ0oOE8wrGd2MFyOp4y6MJjeTKSqsWeeEyQmrGMpKthL25LkF - zGYKz/BzYzFRKEG0O5eWy1mj0BTBGmJMvp6wJH4Bx+AIE9TMlkV7aW0GL+TbL5w2HgBgg1KEOi+E - N5jAUBwa9CRtcYOPBUUCHQl8gKyOUlAE61libVqLDNaDFASZdcRjWAMXoXYpcFELpOHQd/nIQuV4 - g+pSJpLm4K3P36KlQPu0OzrNcnkPDppBwn9ZqJz2vfoIPjN1N0XzfjtMgcCEsuyU/gy84ploxRrL - ZQ9dgyfq3pLnOrZ8LbCGQv/oyJ1ECto58GTa+cVjp8+woyxE6jTF+vxfH+GK9P6tMztY5/4WVy/S - qJelGfL4bWe8LqnX/yW/K5s65tfrdrkLPeC9c0MI54i4Nm0+We3c8dVV52wwuPENNgoz6y0X2x6H - CbKEChVan9ITJpPmW/PuJwAAAP//AwCAeDvT/AMAAA== - headers: - Access-Control-Allow-Origin: - - '*' - Alt-Svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 - Cache-Control: - - no-cache, must-revalidate - Cf-Cache-Status: - - DYNAMIC - Cf-Ray: - - 7cbda7160fd3e277-ORD - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Tue, 23 May 2023 13:30:34 GMT - Function-Execution-Id: - - f495ip5txdm1 - Openai-Model: - - gpt-3.5-turbo-0301 - Openai-Organization: - - significant-gravitas - Openai-Processing-Ms: - - '15997' - Openai-Version: - - '2020-10-01' - Server: - - Google Frontend - Strict-Transport-Security: - - max-age=15724800; includeSubDomains - Vary: - - Accept-Encoding - X-Cloud-Trace-Context: - - 285b29ed564c106ff4d38a33451a5203;o=1 - X-Powered-By: - - Express - X-Ratelimit-Limit-Requests: - - '3500' - X-Ratelimit-Limit-Tokens: - - '90000' - X-Ratelimit-Remaining-Requests: - - '3499' - X-Ratelimit-Remaining-Tokens: - - '86452' - X-Ratelimit-Reset-Requests: - - 17ms - X-Ratelimit-Reset-Tokens: - - 2.365s - X-Request-Id: - - 48a48589bce33baaeb8f62202ba96d90 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\nThe - OS you are running on is: Ubuntu 22.04.2 LTS\n\nGOALS:\n\n1. Use the command - read_file to read the instructions_1.txt file\n2. Follow the instructions in - the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word limit for short - term memory. Your short term memory is short, so immediately save important - information to files.\n2. If you are unsure how you previously did something - or want to recall past events, thinking about similar events will help you remember.\n3. - No user assistance\n4. Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. - append_to_file: Append to file, args: \"filename\": \"\", \"text\": - \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. - list_files: List Files in Directory, args: \"directory\": \"\"\n4. - read_file: Read a file, args: \"filename\": \"\"\n5. write_to_file: - Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List - GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "user", "content": "Determine which next command to use, and respond using the - format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '3334' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA4SSy27bQAxF9/0KgmvJsGrXD+26KJAUKNpFCvShwhiPKGmSeagzVGPH0L8XY1lO - YQfp9g7Jey6HB1Ql5igbwdK0Ol1+vP/xXX35lDV3H5ya3nxujbh5Wv/J5t+qt5ig296T5FPHRDrT - amLlLCYoPQmmEvNssZqvZ8vlYpWgcSVpzLFuOZ1N3qXc+a1Lp7Nphgl2QdSE+QFb70zLG3YPZAPm - y/kywefZZz2brxNkx0KfpdV60ScoG6ckBcx/HtBQGMd6pwlzFCGowMJyhHSWycYAh8ICABTIjevq - hkOBOZzE0wPtOIoF3kJoXKdLCCw8w3YPnkSpbA3cECgb2HcyooZNNuEdQ6U0QRfGili9OWrSGSNs - OSkw+dfKkwjOKlsPfncNQaV8YAhMLagA7KCzJfmYo7xyhSg+NoJjqaffnfJUgqvA0KVTq4UdTFL4 - GuhlvGgXxdfiFYVN4b0Vev9ELwOVxOSNssOzpd0QJ1wQSa9YSRXMuGtLdCQgGzofmwXD7avxq07r - PWypcp6g9U4Sxd+5zB5aEg+jy6PS+v//eYw6KXAY0yfj0ZwWdXUzVhgaHM5LvYAQvr48teEh1j63 - X299hDiCnHgK22OfYKWsCs1muCLMMbBrMUFlS9phPu1/9W/+AgAA//8DAABeWuzpAwAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7cc6279c6ab63ac7-DFW - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 24 May 2023 14:16:35 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - significant-gravitas - openai-processing-ms: - - '27497' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86499' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.334s - x-request-id: - - 518916964b78cdb0ae0001c2c19bb7e4 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\nThe - OS you are running on is: Ubuntu 22.04.2 LTS\n\nGOALS:\n\n1. Use the command - read_file to read the instructions_1.txt file\n2. Follow the instructions in - the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word limit for short - term memory. Your short term memory is short, so immediately save important - information to files.\n2. If you are unsure how you previously did something - or want to recall past events, thinking about similar events will help you remember.\n3. - No user assistance\n4. Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. - append_to_file: Append to file, args: \"filename\": \"\", \"text\": - \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. - list_files: List Files in Directory, args: \"directory\": \"\"\n4. - read_file: Read a file, args: \"filename\": \"\"\n5. write_to_file: - Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List - GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nI was - created and nothing new has happened."}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}, - {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file using the read_file - command.\",\n \"reasoning\": \"The first step is to understand the instructions - and what is required of me.\",\n \"plan\": \"- Use the read_file command - to read the instructions_1.txt file\\n- Analyze the instructions and determine - the next steps\",\n \"criticism\": \"I need to ensure that I understand - the instructions fully before proceeding.\",\n \"speak\": \"I will start - by reading the instructions file.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}], "temperature": - 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '4445' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA4ySQY/aMBCF7/0V1pwTBKGUJbeqe2lFb7tS1aZCxpkkZu2xZU+0sCj/vQqBZRuq - ttc3z2++Gc8RdAk5qEayst6kyy87mX27ty9fH+Rj+2m9X9x/r3drLg9eryEBt92h4vOLiXLWG2Tt - CBJQASVjCfnsw9371Xy5XN0lYF2JBnKoPafzySLlNmxdOp1PZ5BAG2WNkB/BB2c9b9g9IUXIV8ss - gWv2qz5bTBNgx9JcpVmWdQmoxmmFEfIfR7AYL7nBGYQcZIw6siTuKR0xUj/BsSAhhCiAG9fWDccC - cnEWzwXccy8W8FkQYinYiYCyFNyg0BQ5tKoHjJtswnsWlTYo2qipPjl66+akKWetpHJSQPI2P6CM - jjTVQ5OHv6T22FJTFFUbuMHwm1FwI1lcGStnjHsed/NG0tAoFY8R/4z4PyMWBaXiI0lzeMEbn+hD - SmQMVtNQJtyziIw+johU0KyVjna8ZKTYBryM1VKJof+/WypRtcYcxBYrF1D44BRiqakezx49yqdL - l2dtzL//kU4bHEK65HIr5zXdnApJi0P+60pHCDLU4wsbCr33+vwW5wJxAjnzFNRBl0ClScdmM9wR - 5BDZeUhAU4l7yKfdz+7dLwAAAP//AwB9LqMb4QMAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7cc62859ed003ac7-DFW - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 24 May 2023 14:17:03 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - significant-gravitas - openai-processing-ms: - - '24655' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86475' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.35s - x-request-id: - - c0da07f2916746d8735e7bdcbfde425a - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\nThe - OS you are running on is: Ubuntu 22.04.2 LTS\n\nGOALS:\n\n1. Use the command - read_file to read the instructions_1.txt file\n2. Follow the instructions in - the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word limit for short - term memory. Your short term memory is short, so immediately save important - information to files.\n2. If you are unsure how you previously did something - or want to recall past events, thinking about similar events will help you remember.\n3. - No user assistance\n4. Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. - append_to_file: Append to file, args: \"filename\": \"\", \"text\": - \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. - list_files: List Files in Directory, args: \"directory\": \"\"\n4. - read_file: Read a file, args: \"filename\": \"\"\n5. write_to_file: - Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List - GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nAs - a system, I recall that I was created and there have been no new developments - to report."}, {"role": "user", "content": "Determine which next command to use, - and respond using the format specified above:"}, {"role": "assistant", "content": - "{\n \"thoughts\": {\n \"text\": \"I should start by reading the instructions_1.txt - file using the read_file command.\",\n \"reasoning\": \"The first step - is to understand the instructions and what is required of me.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I understand the instructions fully before proceeding.\",\n \"speak\": - \"I will start by reading the instructions file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_2.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_2.txt file - contains further instructions that I need to follow.\",\n \"plan\": \"- - Use the read_file command to read the instructions_2.txt file\\n- Analyze the - instructions and determine the next steps\",\n \"criticism\": \"I need - to ensure that I understand the instructions fully before proceeding.\",\n \"speak\": - \"I will read the instructions_2.txt file now.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '5444' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA4ySTY/TQAyG7/wKy+ekagmbltxQERIckFaCw4qgajpxkulOPNGMw3ap8t9RmoZC - ioCr/fr1448TmgIz1LUS3bQ2Xn84qIf03fY+TdS37ce39+WxDiQHnT5sthih2x9Iy6VioV3TWhLj - GCPUnpRQgdkq3bx6naw3yTLCxhVkMcOqlThZ3MXS+b2Ll8lyhRF2QVWE2Qlb75pWduIeiQNmq9U6 - jfBqfk3cLSMUJ8peQ8nLtI9Q185oCph9OWFDYTL2zhJmqEIwQRTLgOlYiIcRTjkDAOQoteuqWkKO - GVyClwQdZQjm+B6YqABx4EkVIDWB4SC+0wNg2CULOQqUxhJ0wXB1VgzS3TmmXdMoLhY5Rr/6e1LB - seFqbPLpL64DtjIcoOy81OR/E4LUSuDKWDpr3dO8W2sVj41i+Bzoz4j/M2KecwxvWNnn73Sjg8Gk - ICHfGB7TTEeBINSGGZH2Row2oZkvmTh0nqaxOi7ID/e7pYKys/YZ9lQ6T9B6p4kKw9V89tCSepy6 - PBlr/31HPm9wNOmj6Vcua7p5FVYNjf4/VzpDUL6af9iYGLTX8lucCeIMcuHJucc+wtKwCfVu/CPM - MIhrMULDBR0xW/Zf+xc/AAAA//8DABSF0HDiAwAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7cc629212e6a3ac7-DFW - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 24 May 2023 14:17:38 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - significant-gravitas - openai-processing-ms: - - '27552' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86463' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.358s - x-request-id: - - 47e4bf23b06275bef6330450764eab29 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\nThe - OS you are running on is: Ubuntu 22.04.2 LTS\n\nGOALS:\n\n1. Use the command - read_file to read the instructions_1.txt file\n2. Follow the instructions in - the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word limit for short - term memory. Your short term memory is short, so immediately save important - information to files.\n2. If you are unsure how you previously did something - or want to recall past events, thinking about similar events will help you remember.\n3. - No user assistance\n4. Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. - append_to_file: Append to file, args: \"filename\": \"\", \"text\": - \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. - list_files: List Files in Directory, args: \"directory\": \"\"\n4. - read_file: Read a file, args: \"filename\": \"\"\n5. write_to_file: - Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List - GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nAs - a system, I recall that nothing new has happened since my creation."}, {"role": - "user", "content": "Determine which next command to use, and respond using the - format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I should start by reading the instructions_1.txt file - using the read_file command.\",\n \"reasoning\": \"The first step is - to understand the instructions and what is required of me.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I understand the instructions fully before proceeding.\",\n \"speak\": - \"I will start by reading the instructions file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_2.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_2.txt file - contains further instructions that I need to follow.\",\n \"plan\": \"- - Use the read_file command to read the instructions_2.txt file\\n- Analyze the - instructions and determine the next steps\",\n \"criticism\": \"I need - to ensure that I understand the instructions fully before proceeding.\",\n \"speak\": - \"I will read the instructions_2.txt file now.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_3.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_3.txt file - contains further instructions that I need to follow.\",\n \"plan\": \"- - Use the read_file command to read the instructions_3.txt file\\n- Analyze the - instructions and determine the next steps\",\n \"criticism\": \"I need - to ensure that I understand the instructions fully before proceeding.\",\n \"speak\": - \"I will read the instructions_3.txt file now.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_3.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Write the task_id - into the file output.txt\nShutdown"}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '6394' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA5RSTa+bMBC891dYezYohPfyKLdWaqX00FO/1FJFjtmAX7CXZy9NpIj/XhGIkkfV - Q64z3pnZ9ZzAlJCDrhVr2zbR06fn7XL3LbE/Pn74Xr2zCj/z+/XLzzb8yTKQQNtn1DxNxJps2yAb - ciBBe1SMJeTJKnt4mz5lq4UESyU2kEPVcpTGjxF3fkvRIl0kIKELqkLIT9B6si1vmPboAuRJusok - XMWvxGMmgYlVcwMtV70EXZPRGCD/dQKL4SLsqUHIQYVgAivHQ0xyjG5Y4VQ4IYQogGvqqppDAbmY - wInAIw9gAWvhEEvBJA7eMAquUbAK+40phXFMZ4A6bjuO+chiZxoUXTCuOjPnoQ3T5oxrsla5Mi5A - 3rp5VIGccdVo+aVGYVxg3+nhCEF4fOmMR2Hxvhxzn7ZRbrSIxNeA/w94n83MRXvDRptg5wdEFzo/ - SCoW6xt9Td6j5rvXCS2q/cXkYJrmni9ydIgLGOV6eSnEtP8/fXDK4uj06l6zQMpX8yqNxPD2KnGN - 8mp+3rxlmjxcEp5TTmEL10MvYWecCfVm7A7kEJhakGBciUfIF/3v/s1fAAAA//8DAF4b24zkAwAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7cc629de3bf83ac7-DFW - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 24 May 2023 14:18:10 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - significant-gravitas - openai-processing-ms: - - '29389' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86466' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.355s - x-request-id: - - c74448d89d195cfad9d7fcfc8ed151c4 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\nThe - OS you are running on is: Ubuntu 22.04.2 LTS\n\nGOALS:\n\n1. Use the command - read_file to read the instructions_1.txt file\n2. Follow the instructions in - the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word limit for short - term memory. Your short term memory is short, so immediately save important - information to files.\n2. If you are unsure how you previously did something - or want to recall past events, thinking about similar events will help you remember.\n3. - No user assistance\n4. Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. - append_to_file: Append to file, args: \"filename\": \"\", \"text\": - \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. - list_files: List Files in Directory, args: \"directory\": \"\"\n4. - read_file: Read a file, args: \"filename\": \"\"\n5. write_to_file: - Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. - delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: - Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: Get text summary, - args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List - GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": - \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: - \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. - task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. - Internet access for searches and information gathering.\n2. Long Term memory - management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File - output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your - actions to ensure you are performing to the best of your abilities.\n2. Constructively - self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions - and strategies to refine your approach.\n4. Every command has a cost, so be - smart and efficient. Aim to complete tasks in the least number of steps.\n5. - Write all code to a file.\n\nYou should only respond in JSON format as described - below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": - \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- - long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": - \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": - \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} - \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", - "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": - "system", "content": "This reminds you of these events from your past: \nAs - a system, I recall that nothing new has happened since my creation."}, {"role": - "user", "content": "Determine which next command to use, and respond using the - format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I should start by reading the instructions_1.txt file - using the read_file command.\",\n \"reasoning\": \"The first step is - to understand the instructions and what is required of me.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions and determine the next steps\",\n \"criticism\": \"I - need to ensure that I understand the instructions fully before proceeding.\",\n \"speak\": - \"I will start by reading the instructions file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_1.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: This task_id is 2314\nRead the file instructions_2.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_2.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_2.txt file - contains further instructions that I need to follow.\",\n \"plan\": \"- - Use the read_file command to read the instructions_2.txt file\\n- Analyze the - instructions and determine the next steps\",\n \"criticism\": \"I need - to ensure that I understand the instructions fully before proceeding.\",\n \"speak\": - \"I will read the instructions_2.txt file now.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_2.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Read the file instructions_3.txt"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"I need to read the instructions_3.txt file using the - read_file command.\",\n \"reasoning\": \"The instructions_3.txt file - contains further instructions that I need to follow.\",\n \"plan\": \"- - Use the read_file command to read the instructions_3.txt file\\n- Analyze the - instructions and determine the next steps\",\n \"criticism\": \"I need - to ensure that I understand the instructions fully before proceeding.\",\n \"speak\": - \"I will read the instructions_3.txt file now.\"\n },\n \"command\": {\n \"name\": - \"read_file\",\n \"args\": {\n \"filename\": \"instructions_3.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: Write the task_id - into the file output.txt\nShutdown"}, {"role": "user", "content": "Determine - which next command to use, and respond using the format specified above:"}, - {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I need to write the task_id into the output.txt file using the write_to_file - command.\",\n \"reasoning\": \"The instructions require me to write the - task_id into the output.txt file.\",\n \"plan\": \"- Use the write_to_file - command to write the task_id into the output.txt file\",\n \"criticism\": - \"I need to ensure that I write the correct task_id into the output.txt file.\",\n \"speak\": - \"I will write the task_id into the output.txt file now.\"\n },\n \"command\": - {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": - \"output.txt\",\n \"text\": \"2314\"\n }\n }\n}"}, {"role": - "system", "content": "Command write_to_file returned: File written to successfully."}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '7348' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA3SRS2/bMBCE7/0VxJ4pw684jm4FiiIpgp5aoEUVGDS1lhjzoXJXsQ1D/73Qw7Wr - ttdd8puZnTOYHFLQpWLtKpvcf3rdfv84f36c7ec791hV+Pl5efx2evuwPEWQELavqHn4MdHBVRbZ - BA8SdETFmEM6W62XD4v79cNcggs5WkihqDhZTO4SruM2JNPFdAYSalIFQnqGKgZX8YbDHj1BOrtb - rSVc4dfFbCWBAyt7Ha3Wy0aCLoPRSJD+OINDuoBjsAgpKCJDrDy3NoNn9G2Ec+aFECIDLkNdlEwZ - pGIYDgs8cjvM4El4xFxwEFTWnIeDFzUZXwguUbCi/Wawi0IH55TPJxnIW1ZERcEbX/TALyUK44lj - rduIJCL+rE1E4fBWZUyprPI9IBFfCf8vfwsZMXQ0bLQhN46GnurYMhWLJ1Gqt47WYXOhrO3UBp95 - J0tii7sQsZPi9h7/Mk0Vqv1F7GCsvR7Rh8Mkg/5xIy+FDBn+6sMrhz3nj8wjORWLcZW3FfSA922c - LsE1ItVaI9Gutvb021XnbDCY+QYaCTvjDZWbHgcpEIcKJBif4xHSafPSvPsFAAD//wMAvNN1YlgD - AAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7cc62aa52e403ac7-DFW - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Wed, 24 May 2023 14:18:31 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - significant-gravitas - openai-processing-ms: - - '19007' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '86473' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.35s - x-request-id: - - d281dd2fbae62c2925a71cdef320242e - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"This task_id - is 2314 Read the file instructions_2.txt\"\"\"\n\n\nCONCISE SUMMARY: The text - is best summarized as"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '294' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOwUvDMBhH7/4V4XdOS7tu7cxRvQxRcAcvIiNNv61xadIlX3Ew+r/LQOf1wXu8 - C2wHBdNrNsPosua5OW3Ob8fHFyppen/Y3m/3zakh99pWCRKh/SLDv0ZuwjA6Yhs8JEwkzdRBlfV6 - VVRlUS8khtCRg8Jh5KzKVxlPsQ1ZURUlJKakDwR1wRjDMPKOw5F8glquJf7TN1zWEhxYuxupl7OE - 6YM1lKA+Lhgo/TVjcAQFnZJNrD1fD4Nn8td7LVino/i23IvNk1hU5VJwEJF0J7gnsbeOhPWJ42Su - D2m3yPnMOWaJvfU29btIOgUPhcRhhIT1HZ2hivlzvvsBAAD//wMAbCMLS1YBAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0d4a6d710e87-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:11:04 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '2415' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89455' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 362ms - x-request-id: - - cbd67969e330d7c1b72b91be6aff147a - status: - code: 200 - message: OK -- request: - body: '{"input": ["This task_id is 2314 Read the file instructions_2.txt"], "model": - "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '132' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6XQ+6Orfn/fMpdvYt80RApGXfISggLy0Cok4mE0BEQUBeWqAn57uf4H9yZubG - RFpC2q61fi+r//Gvv/76u03LPBv//uevvz/vYfz7f6zPHsmY/P3PX//zX3/99ddf//H7/f9m5nWa - Px7vpvhN/w2+m0c+//3PX/x/P/m/k/7562+tbgTCX7NTTz5wyiE7+BFZ/N3oTPl718IbeCJ6lMJb - Ol2FuoOhNCrU3t/P5ZJ2ywLl+s2oxx+TfhCgJwIopBesY2diEwgEH55Sc0aT4vb9IlmEgxE079gU - TT2dAGgD4EqOSyTmn9JpMesMenkyU61pwrQPmqmDY3R3ifActZSVofqGWu8M1BLNvp9JNIjQvSAD - o7yQHYbmhof37O1Tl3hvNvWcxYHvXLyxrtVdSL3hHSs0tQ9k4+tD2Ytu84ZKnF+JfGUvNtOxt0BZ - lSU2dlmeMu12kuH0tF2MoeuXE+b8FnbaCeH9NqpSJifHANxK7oxPt3MCZge8I5kE9RHdItPsZ27D - d4Dr6ZYau4wLZ+OCfLmj4QEN9vcYipe4tkCOH1syPF4iI08lV6F/QQ25EFtK2T05WdCxuRu2RVgy - +oaDBO6bR0xNTozAgjfcAG96CbCVvXVnSDrjAJVd+sC69Fh+4wRU6k3DF9fmw/kK/AqaQS6gT71R - 9aVJ+Ag2ZTBQlF72TAzexgDvDXenJlEVsJyihw3mkO3p4UX5fqBvRhRdSBMkiee4XMBndwPwds6J - ZAePfjLZSYTLu66xPR33jNxeL1tZnCHCzokXwqEhag4KztapaabMmTjhiGANLjdsbw3EBAd0EXzY - W50ecmKGE+/INWAfTiMKLESH2UJhwXJfP6jd82dduH73lgKsrUeUG5T6gX7yHNJm+8H7I3g4MyjM - DB4ky6b3SyKVg5HVgRxeLAeH+AIArbcMwUMW9kQWoc7Y9vPhoVd1V4w7oICvploB1J60xO7DU4EI - FCPaNbcnJruplMtv7Ns8nDW6QUpx6MP5dGgR8D47Sm1tSNIhLNoWvtF2INCExGFuWKmKYB72ONzk - T7ZoWEDw0cQIVUItASLUOQQWrnvs2d+xX5rH1QDeB1CsC7VfTp4bqfB5yzwCVfByBtizGuqm5lCn - ZUO4bDwkQWd3bbCTdEO6PNtShMy/nNBHFqt0gtd9AoXQEjEOJr0UEe4zWHeGSgQhE51JzYJ8s9vd - IFXP10f50VQ1UFR+ayP2+uzD7TVMAmCe+RN29kedTVlmT2AE4YPUr3PlDJi7tTCM05KalrDvF1lS - RZjtuxsBe0wAGwrZAIa1ZX/yn+1hO0GaThPqEp7qAxNiCJvHd0HiTbT6gS0QQTvUjwSGyAGkiLME - GpZnIv6ze5bz4t1uwHz4Z5zG9xSwsSk4pdlcChJJoa/TDLUVPNavO5KmMkj56dtVUMwuL3p8ju+U - 8vpFglGhfbDrdcFaD2ghH7GWUrVuff2LT6oNbQu3aKM8dykVbXcBxV71sEYlnfGSaUngVRMdH16f - b8+2WyUAl2DTY3RrbTZfFRbDoowbavLcsZ8dbxYhH13O2HidD86sab32O1+kzAcvXFxei8DX4t5Y - vbRI78TNxYe7MTIRyNBnXV/LybsRMoxz103JmM0FlP2dTFVPb3qaoaKG1vu1YHU53MBwK/gcfk8N - omj4Js6w1eAEDmfpg95Wfi4J3CdvOMy5ga26eoRMPqYGDFj+oMa56tjcRmcN3j74Sx721yvn1Dnb - 8Csad7r/OoeSH3SjkJmSbaiJyiObB1BnsCn9AYnm5wIm6+wNYK+GIT2V9zFtv64bg8a9JTSDxQjo - fc4NcMS9ieTNyw4nTfAnxXJUngCDtToTheQN27dxxs6OkXDmNrCFpSYI1LiJbT8eiloE6lk64ENn - +zp58Icb3B+fInWl+A2oek41aH+DDuv6LtRZ4+8q+Llo4rpfZs8fhwQCLB0mbDH/GxJj8WzZA0VL - Y1ed+zEydi7kCnIk0sf89u2L1Br8DC/2y49+hmKvAQ3lDrbG98dhXeIg4N15mToRbPX50W8IfN7p - h3wl3tFnV21kKH1hj+2kOzjzsZI5aOGqp9o9assJ+YWtnEBh0tjaVCHRKnoT3328pYZ/fuusmg8x - UEcorfjEpUPS9JEcxxeTGu9kD5YQbwKQi9MTPw9NyZZ+02hAyt9vNIE20Cm29AyyYzmgieyKfjxC - LMF+3zzJtK6H7F6jD7YfWGLLND/h3C0RryBOPmBdmNK+Q/LsygdVKPHB/5jlthBEFUZRnWE3Kb49 - vRMWw0qCexotaVHOQ3V/gwjkI3ZFGIWkfVoZXM+L3u/9yVmS6IpkFCQyRZ/8xZhwn3NQ7DUPW3eh - Z71GYx58+wCiWZMpW9b6CGdt3KApaFQwi+84gd40ujhWCWPLZXO34Os8ikRZ43V6nFgE2mNjYPvK - 9mCp95wKK475FMv5oM8kqkRYOSmPLUv4guXGpBr8zrsysqZkZ7TESm6fIySyirDxfuh8KNFZxvbm - 1aXTOd/4sCtFSKTp3qTDPlfQD38JlGINTHqYdaAyvDOaNrt3OXdLxkP2ujk4lbqp/DYBbWFGJoTD - Fx3CSStPEXh3xKHmODRgUhlNYFZGBjqHUw2mOPFqoH02J+o8+ns5w523gGufnPHePMhsDFQ7gvZk - QyRtNglbvpUHgcPetzX/vJQ9La+APXf4ogaeHmw5fc0ImvyM6fHzmdmcnJoFet2zRr37Gsrl8Uxc - QGRKkG+7n5CmZbLAeOED7KVfWk6sGBb4pFFOtbg5h9Mx0QvAo2NPpu9XSceTaXNgD6cHvnX9mw1X - gbQgVB2ODCueznfzqMF49G74aKnfkB1yaYHuCzQUL7rfz49AVX/rp/fg7qRLH9stvGl+ST2xNcrF - 3xe2UhhC9sP/ctlIWQtd6eTiNIKWQywQL3JXPVtql/dL/9WuDwRHkdZ05YMplckmk3e7BKLXESjO - rHI5D1IKv9jV0JfNyRJMsHn0C5LMs5/Sp+W9QbZJZHp8E9yzYyn60IeGhM3TaVvSoAtvcOG+CbWi - VCkH8eK6EJrdQgDk034uxGUAaz3Fjvbe9u3lK/tguc4ntHydgS1cxiqw4iF2+7johynEGjjfEUXC - sMXltHkrCxBfXIoEr3qXSykNMZRToyOb9GLr4kOkNhDjIqCGUupsyzWlCsh1aelB2Z7SafMWJqjy - bo6PbynpWcu9DVjsux1Fu+fZWRLFRtDHzUhP+H3Sp1pbBsAOO5ViJz+CWbtvOGh0rxd1guMRbLvE - ceGzKjUExeWbzkoV1ooPMpeeiCDqDBbQApi9d6jdWRKgsIA2QJx0wCY3fAFZ6xV8i1aEs7zjy1YP - oxaW++pBTSyicm6juwYIaXfU018JYDC/36AB6hKr86SxZV0vRKFeY9dcSp0U4dyBiyGJ1G2VTdl2 - H62D+lc5k754AzDfqaRCTq8QVW/PKVzxiYBHKh/xvsvHcKnqSIaWo/FkvkRqyNJi0sCQogIpk6yl - q97g4WuxXHwLSqT/4g1cvluINpfZB4uiKz5IUQCofs9TxlLhjSDiaYSIfr3p8wJUCUQoEuljucY6 - qUrZkpddtiXLzenAKzqlHAB3GdMj3ovp4EyyDHtJNggTprScLhfLgPmpbWno0y6lTnkjMJrPyi8f - +uVt3Q1YW0lA3ZQF6VT5ogYlfrKw7lM73MYYWb/4wFpR1+kUcUMObbOG1JbNzFnsTSfD4LxQ7C1X - UWfbooiUvXoOcRg/SL9s9VcOlffLpWoxFYAoVFfBZygZocLhAZbp7HPK63y0ybDWe36D9AruSueK - jU9Knfmr7WuoP6QMe/xRLsmezw67eKgGerwGBhCse5LA6/ZpkO27Epzhdb0fZO8uytRtv6d+Wo76 - oPhwrChWCy4ctHIfw89ijxg/nxdnxccIOtIAqDPfAjaf8qsMg+Cekh0eeGfCl7GFxySrsPEcu5IV - L50Hd8PvScMNJ9bt7FsMhdAWsRmll3DgzGwA8dmu6Cl7OykDzKmh5D0L6uT8Neyzsx4DuNu4+HB6 - RIxVR7ECWD098LE/OQ4jl/MbisqtpG5x0J35YzBfWd//jet8Q9RMaW4PjKZnvKT0trd5aHwijnpH - /EzHW99L8DzRERtROjrTZY8DON82FTY5kWdLsqkgeHrqgUZ3tdS/S/WJQP6UPHxKuBkw7baXfnzs - Dx6PMoX2Tqs/AmrPyRROKUmQ/PLzfM0vmY1oOi0//YfEbtOGrA2jGNz0FyBDjO8OA1MrQupvItRJ - fJi2/nBC4DW8AiInPNZJ7tkLXOsxqodxAOyIXWNHlTxHSvs02NYcsQyfU7OlqvMkznha/OGHv6hR - k1r/bLRnLq96FJXH8NWz23Cr4arv8EH/fEJ6Ec0FDlBGJHpLSzq+GqT90Yt7QY6dL3gMAwDPMaf2 - 42Wk22mSa/Dj7/y4X1LSbxoViJKr4rugtIw9p6lQ9hfZpSdXCPSB5bYGjxdpxCEle0f84aNkBQqq - qsxhS9GjCpiP4Ex1T2odFkOug/zEZ/jkbh76fNkecqglLxUj6tY6s4XWkvmnNZLlKsv6mCzBAs93 - lyLutlwAYVZqA0lIeOy4r6EfZz7QAG6yA3o9tUM5BVulBiZvlRSjL+dQtW04ALX97sd3HVa8HBHM - ViRRfaEkZRN7xHK5iTekUavZ6fPrgmCccipaFO2s//F3lJdUrPqlBKy2NQLUdrlQt8HAWYh3EJUV - T6h1FxywVAAffnqYwFPR9GO9Nd6ytUCLPnXdTsW9KIpwsE85NR52XtLhs63gMckrsnOFRW8DIeDh - KGSIRiQC+hAsk6Gs/Nxjk7ZNGRYAlMn+pVN3ja/JOJ5jZezamcxIe5fj1jllf+oX9mIhZPUWIPhq - Ykq68WaXY9j7B9g2AY+1ZXd2ZlMTebiJwi09ip8QLNvLJANCVA97pVw4w952NNgeuAQb1uaQ0t2Q - EaBI1pFmDQb66HKeIf/OV831b8nm08QB5yx2qHev+5K3XMuFaTcZZJe9nZBdP98B6u42oeqzUFJ2 - uygqSEGyrH5CCUZflFp42eQCRfEx71sjq3158O8HbPf8rFfnLHvDTffKyKr/GXGd54rnNKb2o5/D - ytu+JtiedYzt4s36aecaCTyhm0/Pby9joxGUBTxhFVKr4YtygtfTDYiOccJe1L77cf+tWgWGB4Df - jmP102V4qEC6gS82OHEo6W6IBhC0vYpNeHqAOQNDAlPRxXg/14VTl+KpBuv+oo0c7fUxfic+9O4u - wtZjEwNh5hMNHqRFXPnOox8LUR5AOGgZ1fCF9ePFEQkEdwnjCO+RMw0kC+AsZJTwVS2ySf64BAiy - blKVeWLZ8lsrgtuDL6AVf1Oxw+kEtr1jIF7IPDbnB+4An9NnS+DKF/ptUcSQvRKH7s86BstIVU5Z - /ZSffkmnKTQ16Iy7nGZnoOvT5dqJcJzkKxGfo10uU8gGyHeViPGiTz2z8VUC+9dmT7ZAaPrxDDgL - gN5pyDY57cqFy0ANL4YsonLvQmd8Tjr/x9/pDz50ls8mRPKKB6hZ589L8JD++G8n0/RKho4tgZ+a - VORrnqWSNeVelR+2oGMUyHXI1LLLIXdAMlGa4y1lvZ2/oTpyEvWKg5NuY2xYPz5HJNXXQxrq5wma - pjaQzcvb9SyVGwK70PXpWXbqckqPjQtXvCTbHz99TtMbdvLo0dM2gf1yr3RJSfz3HVv3vgBEms+c - supDssQPI1zrPQ+DUSix9tQG0A3GBcJlvGk0fpMtGEQ10ODlYadYhxIJF1myRNhLkkH3zsUJm+Gz - rcGj/dRYg1LtLIeWvaEyRi1a9Uu/xAtGEFjoRQ+n5gnYsv1mPz+TnhK+BmQvciI4P/ccVmd5ZIMY - fHMwRqmLUfp02ZwUTgSPr0gkDF8Aa1Z9A37+r7P6QVOsTa1y5/cII9+j6aypqg+R60Rk2s8nQIK3 - QaBomJAIJpX6lU9asrt9F9i++AJj96yUYGvPX2qZ5jHlm+Ml/6PXPa+TwbTjdzfwFccjtseb3U/d - x+4gL6obepruuJdI4UPo48+IDyv+/OGPfqEdENgxFM56+o0gZWeCjcqq0yryAYTregmbtGu6PJ6B - C29VrSC2+ulz3Fwn+ZePo7zM5XI1rAMcntMVR0a99P09Odkg084Hqn6fQbg0CYxBLZOBGmu8s6P7 - jeCnD9K1XqjlRATdUkB/atB8yE/h7N1rF24P4LXGd6ZP990yQTvs5z98ainFfQ2zh1FgtZB7ttCy - vQHwiW9UXfezV85mBpfsqlJLUNRSnA9Yg+nn5GH1GQfptNX4BV7auqLe7tky9nk9W6i6oU2PN7FI - Z+g8ArDGGz1xb5zOyksS4XX7MJC86rdZPtQJHC1FpwduH6WjcAgqyB1cmar+gWfLdvREefXPqOGI - xpr/WJW9T6hj+wX3YK7uNoFvJAzreQTh6l8uAJEnIcuyO+tbi8wBnF2ZInHFsyUEnirbD/FFj6yq - e7KuHyR2wBCpEFdOZXnMoWMkLyKuftGsL6IPf363frc/4Bs3z0nqzMmkpngm6cSEmAPfrvPJm390 - /aJQR4V2dTCxv/p9Kx5yYP0exque47tmvMlXBAyK9KukD+iTRPLaf8EGUYX+e65ervIwQpdABhqH - ffWmg8eLPK7++wssC80WeJGDgCKzbcsFyTsEn7fco6erUvXCz5+0K8KwCQSz5H09d3eVc+exIQ+v - fq3PA7Tsm4XuqqGu9eqkQntTYHoUKQeG7qO1culpH+p5BWbzGGgHYDx4lSbT8cXa5a5IcOWb1HZ7 - ms7n4D7B2Ja51c/SnOlFiCqrY+RSP557xtr9Qfrp0zUe1JAFly+Cs/wNsHWpQNpNtW7DwzDscSou - L2e+36McFgaasF37W/Dzw4BpJCp1tfeTzW0/QllODx3W3rrsDEI1yco5vwfkZR4SRqG75xTBNPZ4 - 7zhFyIYyE2HnfWKSqeClT5r7meDLFipsqFXLBiI49m+cqt/vI5xe17MBjOfxRtVLXuqzp919OOnD - AWvaNDpjb0k5bIz5RVHuHlb8DHz4PqmP1f/fgLVf4EL/dc4ITNmSLv5Igz/vu5/FDGdfnDq4+lcU - N/LUzyoXi2DVd6S61nxJe2EIgKgkJXlpMgW92jYQQrmRqFluH4Cez5eDkhwNH3s1GFN2sDccDC/L - FlutFTP680NXP4Z6M7qlg3itud9/lLnXL+CvpmhB7hXPKHhqLphU8pLgXN1HrN6efji/GkOFnrcc - CUg6N+3L0HrDZlec8e1Spenk6FoCuVc0UwfyoK/j8TRAMzy+EP/cfvQ59goDHpV7h1rbCnomZJGr - YDv28HHcJ+XcP7oWGl9ZIPDhqYwnxY2Dw4EDqOexoJMQbwNof/3u1y8p5x8f8e9Tjj6fzwy+t3g3 - wDV/Vnz3y7V/ZMNfPuaffA9YLKcyvIpiQgpUgJB8XyWCmflo0GadPzdB04LQjglWv18lJHEiBzA+ - Dik11cTQF9Xoa+girkDDBy7p5J1mHy6ZMvz8FF1caLTAnx5L95iwtV8kgpKQEElrfZx3UWiAZUw0 - xBkoScVTXdXQsARGUR5TZ4LfmwhGIUfYwUgvya+e/vzCQ06adEp1N4Mr38QHnwb9H3/5ddQu1MKi - yCahSVvIMMnoyVC0kmyEWfqD3z/9xUp1PsCGG3i8ryMt/OMPf+f3G1sbAYOxHHkZ0Hev4aMqxSuf - uUg//EDbc8WcGaR7Tln7Y0i8BtT5+c/wmmwAte69yibPzVQYx1cTbdCT6cPaL4GCG1Rr/Ezp2v9Q - AX4JDl7rN2D+a78o0uSecYBcAdBzuOXh5cFM7H0WWpKTolpK3z4muvqv4cyUsgPbYlLxxf9g0H3d - nQar95Dhy5JaK38QRWBJdk/CzjbBfFVjGw5zZmD1ezHT2a0lS3EvroG9PK7BHKhaBDeC8iHT6neu - /SteWf1xbJ/40fn1e6FJXl981FOtJL/+3crX6NHIKJguezOAZRg4ZOhjtRRLG4hAD7KInoJ7H07L - dM6g1H2uWBsvWzbLmt7BjrS3lR+OJdO6ewRKmVlIHMo92Fp6+ZZ5se8RLXZ6v/pxBDIohmTa7LR+ - keWyAkFWOfTxnt/hvNYbMNVaTuJ38mIr/mlw7Q+g3/ytfpQzuG9OFeEm2S5ZLfi58vfvVsB//uuv - v/7X74ZB3T7yz3oxYMzn8d//fVXg38kj+TfPi/+m4p+bCGRIivzvf/7PJYS/v31bf8f/PbZV3gx/ - //OXIP25bvD32I7J5/99/q/1a//5r/8CAAD//wMAMvLWqOMgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0d5b8d510e87-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:11:05 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '145' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 7ab0c4c9a66ac01fa308ec0a4b3afb51 - status: - code: 200 - message: OK -- request: - body: '{"input": "a task with ID 2314 to read the file instructions_2.txt.", "model": - "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '133' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6yRKyyrbm/DzFjj21ToigZLJnIIhIk4mgiBUVFaBIo4A0mZB54777DfwrblVN - HCBhk6z1dWv9x7/++uvvNq2yx/j3P3/9/SmH8e//sVx7JmPy9z9//c9//fXXX3/9x+/1/7szq9Ps - +Syb/Hf7782yeWbz3//8Jfz3lf970z9//X0H5onIMlP1fv8+l7Du+5BUc6j0w1ocfDglJqPH+bVL - h9k8JnC9jg3qbBxLZ48yj6AvaDO1P869b3GudjD8BiY+GEFUTS4MtuDKywwbSsV6vhNdEfbJcYtP - V5joU28oAdhpTUd6y3oDlm+1BzyBi0A1dT06g7s9B3Clvd9Ybe8PZ4pSP4L7opmoBrUcTNciYfA0 - XBFG4kZxuNaGFqxaZaQOWvecXx/OHt5W5z3W72jjjI4WEAWHI0ZTxn0+S2YkwvN2J5JN0zghOyXf - TKaw4fjU7GOHr/SOQdLPBtYF7lfTdEkhgPqsY70/lM5wPm0FsHu9N1h1h2c6kbqzwfd1C0lXQKsf - Pepmcp8cttRd6WM4DfLOBladUVJ7vRFucq4NoH6hB5q78hkyV/VVZc+tAz0E36ln5lbIoRTMFB8q - aebU29gXWXV3V2q/DloqeuQ0wazXrxg3eVQNbRMLMOfcxK75pWBuyD3ZPW+9hK1Pua8kVAo26C60 - Jn7qJNVUVJIKP/OYUR37qi55/JTvNnVeUSt12nQ6djyW+Zc+6FF7OhVpX3tbUZvNB+tISvi8nCeo - mnWImIdLZ3IZXkHXqBnGAdD00V2fRcV7gwsS3O3doVvjnEEukZZiHHaAtYW9gp9oRtj6sJMuheLl - Ae9DPdGjIxyq+ZvsY7DOtwP1NofCYZu0guDky4y6rYJDwQTqpLzC1Yw2xLQAMdS1CFVBvGGncaV+ - qjdRDmN3SmnAKy2tn35ggf3Jxdg3s4KP6acXYTeTGMWnTcWZKxguPG+BiETJPKcUX5oaOmgIsKft - JcC5wMhufVg9qPNEez5O4d2HZ/D4YN2wbvr0UmMX7GR1S21Zm3WaHQ8XCJJNg4RsPfQMPERDeUCc - YNPvEJ+qcFtCLhJE6L37OKNyBlvQzcjBh/l6BzO9pwO4Z80bWzy/hTzW5jeUp/SD1le5r0ZV6DPw - zpOSGjsAw8lx84vSt58ztu1j3XOr6PbgeGwFarsrD8wok0y40owbGrePTTgbpq7CV562qLyY33TO - N/tyPRzeOj08VZvzZ3g2le3tK2BDt+1KqsXYBA/oJdjpBI9PVta0UK0vK9S9PKNnL+gYcNb3iHr3 - 1gLzSqtL+DCECxHN8NKz/RWJIPXSF8ZXue/5FHoC7K6Yo93T0EN+IWcX0sMgI0jhvR+sjHZwN741 - qjkrKe2/uRVAXLotXfpdH4NVbwPSsQ6bulsDwilbKfwZfMh66QeqkutbHgJVRq3/PgLppZxceIiF - HVW/du8818pbgOpGmLGRSadwup32Fvx8JoE6IwDVcIpHBMAzjvBeLh3AVmolwvO+ssk9eu4raT5a - EJhPNGOL+z7g4/fagWZdrrBzFbn+LahlwtOwSal+j+KQBUqbQbY+37F237x7PmEDwXrXvdCqjG2+ - PI891HxfwPYpS8DIFC2GG1tfoU100nt2epQBLEZEsJ5nRTXYQTmBl7U/UtSu+4oGRmHAOKYH7OAj - dmbdP5ow/coGVcu0cUam6QZ8zp+R4nup8cmVExMmE/xitx1bPkm46mD1KEXqpk1XTe72HsDdWGtI - llmuM2bYe/i0CaeH9XuqZqY55hYa/EkmcXsP2SPJXChdhDPVDOkEmHJhAnw6WKWH2Yv6Seb3CDrY - fdGbZbjhV21fBLih6aCVhMqUJF3/hugZlQTc66Gau8hiEA3CFZ+avuKzVj59eLgJL4pV6IM/5xni - yEfQPpX8s1UvMVTv2yP1PwEJO1c2O6i9WP3DQz4ueAKbVfmmh8f22Iu7jTmA+9jYZKtQktJ+/cnk - 7nQ+0VRTQUX8686CxX4aqGk657TDTyGBWOkN6s0f4vQqudYAG+MXazhqnHmT0YcsKIZMTb6uqrne - PrM/fLoaGo3PRSsyaG1W5fL8jWomr8yGz48lUlssVvo0bKdIOft5RC9+POjsie4XWYD1SLVt4fEZ - vG0ThN4MsDeP55TGB+CC8tjN6PvoV85Ivl8Tiiqs8S0KdV0MaShDHb8BebefG39tHp0Bd6ROEbug - oRrUecih821LtLrNtj4t9QSD4x3jvYf3Ok+fV0uBitvj43yL9KVfRdlPLR2rnwCFkinNAmwqw8JH - sBL7TkHbBM7jw6fXTnyEswt8BNVN9Mba423189kYW9lJ+4h6Qf7qZ8WTfflWijW1svJRzc0Q1+Ct - XD/4qA6PfqjnyxbewgvHtl+/dR7sc18xB/JGTJSvPWsrncGTv2U48vp3OAkN9GEvGR314vVT50Ur - I7B8PlYLedXXTePF0Nw5KbUk1Q7nnXyW4Up92zjiUp5Oy/fJb7q9ICsLRH2+5r6pLPoB7fJQSN81 - fw6wlhoFgUWvcHMnt7C5GCW1SxfrQz7ZDPJ23FPXLNyK3LC1h0EE9uj9yTqdTT7awjs0KhyJK6QX - rnJWFbQLXWx86jFkHtEmOO9LjboZidPJBBaDFH44mfPHIZ3CzZcBQTFlanpVoc8wFAiUcgawK6c3 - nXxTK4d5G31Rr6lpNWlN+4D2SfToKddHMGukUOEZQIaUzfVY8XG8+VCJbUCNbD1U8+0gMSgEVk92 - HTtX89NLEZj7lJD6k9chsd2LDEf7YWHcWwOfL20aQSnglMgf4ROy6GpnwLOfZ+qQSw54+Z5qmDfC - A0fZXIYMZKstOLjxnrrS5ZsODOoBEAK7J+/f//cxFYGm8ZR6wpCCyRP9DCz6jz78owR6/eJaMDlW - Kmn17FTxtVaslKV+SXl7KiGfPCeG0S5W8MvQs4r2ytCBhQ+o0T4vPeEzYPD8XNf0pGEtHJOxMWCd - EYwErzCAuL+aApwSg2GTZ6nOvoEYww/DPVpbF7Ui36d22b3MF6N6tbn20xM9t8DMPAd78wfpbLs+ - t1Bl84bub6sD52+/eEN6GXIk8nXVD+KVGPIz+j6xfq1XnIrJ14fgIZ8IHJ5lOBuWI4JjUXdEHG5j - P7ogRrB/WAlGykbX+eOelsBxvxMBueeFUzjeOhjfxxdFvqzr4vepRSCZM5FakuVVgngeMnne7Y7U - Pq2rcMEHQ/Y+aYGmVn73s7lRamml1jb1tpfAma9lLEPSc4OetpYY0vl0mgB5zBkRs7lMedEypATv - WKPGvlgBPjv2G3YVdck4KjfAJTuUlQzXW8R77xDO8XrjQyN4eNj1b6twfFudDBb9jtbrlZHO2dFn - Sr2zAhx8HiPomGrFUI5VA2va0Q8nlx1X0G/MkUyedwATg44PBdPV8KPdDPof/fjjZ9+7nnTWfow3 - WIc7GUnaQeOjH8gIsFMik2cndg47ku0DHuxrTo/3ZOJT+/H3cslMATsBgnw6aE4AzSdZUUvcNg6R - TtcJhFh8onW8ixziqrEK0Zat8cGweTisxbcPhXOb4X2mTOnER3EAx8nUqQamrJozDWfAXe0Twg1L - 0tnkegE4xJeBBm2fcS60BAJcIETVT0BS2t7FFfhCMaBejr/9+Nm3GQyOuwd5y483n16qjyA2J4e+ - giSu2GVMTVgMpKAotVYp0T4XBEd2fVBXL0uHGY7NYLSNK3ya70G4sY9PG9inSCXjOl33tMhoAN+H - LKD721NJp+h5tpWLgSJ8bOaOcz+eDIWuW4rPTTik/Hm9y2CpfyJ8ohqQaxO3QBzueyRk0jfl6TeX - FRiwL/qs334l1uNRAIvexE+tUlOhKEQEPbbNMUq/Jp+s97SC+Mg+iM+C6WwO+1MC+7Tz0LiGljNz - IohA79QV9Sy7cLoPuMSKcrMLMg3nmLMOCQwClEzY23jvlKk8n4CJvQ89RmkdTvo1CGDeXr5o6+uv - dDq28vvXL2j9+NKKp01uwk2s24jQ1Ya38hwv/tcx8aF5tc6wkxIIjlSTqflePwHVL64N5eu6pAYf - cz5788GH30wysdGOQB+/iR0DkNwStPw+8DtP8Dtf54lK8MMHxfdsCXuRdeVSzlY+3MTF7XfegKfV - 6w3e5xjSvXc7hEzxdy70mJzj4+OeptMjbkV4jU3tj/7j+/jAQFunW2qmJ9ehAYy2W1p831gdNJbO - vTZP8Gp/9jTcVrbOQSV2oPIKn+6lfcw5vM0TEPRvQI/VDumzK2EC3fAdL37nxtkgjwSk3v2FbV/s - emLllQzt6GxgY19kvPnhu2y+KPpu/XvFtCpNoAG3GB/XIk/nTDs+ZLw6nRFY9PS81B+UitD6gy/d - SHIBsuksoJO6WoejngR7WdxKO8RExlI6gEqE4nazwzg/H/iPj2Hl6TphShGlrLOBDfWkcuhJuxn9 - sOADWPwate2j2YsmYya8lUKNbbHInDFktxientJm8V+EM9SplvK0UU29BxUrYpy0lfIwLkf8MO+n - VDIO0htKl4uBVku9slGofKi6qUWRrl/B3Ax+rUDfk7HJpTxksbExgKuUHlLitaIzb9rXkG+cHYL+ - 8QYGGxU2TMK1hKai2zp0yUPk6/yC+Nh8m3763pxM3rreDbv2udan6OzFQE3kgv700Lx51B0Qe3mD - jR14pJN+C024vfUC6rXi7fBZlVrw6x/+EJ20/WhlJINN2BFBD0be5eOqBD881o1d7fAOy1twvHYq - XfKBXtCaPFP0VI8J34ZVP1fx5CtAilzqba5NP94B6IBBEpE6m9BJBT+E8h+/ayoj08dYgQ8YfqeQ - 7str7rCbLeVwHaQhdRMx7YlVDgT2Yv0kSm9O/Ww70fTTN4t/cXrGjP1eqVRDRa+FH/74wYVviDTf - RH1abz8mnF/Kmaz8e1KRfHvKAD0QGTv37JSyG1ZVaGrsSvUlvyK9xS4gbOiMnOaRORMXVVHJ8HuL - VbENAC06voenQUopkqJDP3zW3wzYBS0oWvQw+9XPg7IKyTdlq8+X7mGB03hrESDvJiQw2fjQi1JA - j3MDe45zfoHsFptka3peRaPIegNNRl/C86zoSdEIxq9/URNw32nX+8lUFv1ATyQ58knrS1O57/Tm - 15+ge17CCay0+o0PnfhI59Vp28FapQZ1BFBUzJvsN7QEaJFJaZ7hdPbYA34+QYPNVkr6drqEUGn5 - VsLlwq/D5AcXeTWoNX58RK1n8Up+y5nahNi69dd0PqNtDRd+wMc1mZzuLk8QNrnuIqUjNR88MX7A - zSc/4WPQu0A4O7sOWhtY0lfV7gARr98cDMozol6oWQ4DHxXBrhwYfi76gv/ws5zrBsnlhYUcPgUE - Y8Ep6VLvzhBuigl+4eVAOrFYOfwDkxxU4mpHdiRpwHsNyQDdcyUSaJ/2fDKVUw0i/DpSb9Ef80ES - E3hgQYmPxLfSpb5l+OOPyGeBQ1TeMlj1Kl7yg6fOyeehwi+57LCrBFk6L34dnLRkTTaO7FZTvxce - 8Pn56vQoSF99bqYEwduKY7TWDMHpxaTwIT4GMWJyRx3OZMUCi18nbNF/4uGoWZDIwROt5GcYzt7o - dBB1YU0WvcmFolrv5UJ2GNpooatPSz/B7ygOZNPc3mBerccO9m1zRvf72083MFcz0N4zAdUyOfa0 - JgcIo2cWkjIV973AR5FAlEmnX16y5I2zBW8K2xDQXGQ+/vIIcxjeVDXFvudc5LkyfpIYow9mDt3H - HoNAurj0j/6i0WMCG9fM8ZK38pkppxgibWvS2D50KUGFuIdSMV+xq4BO/1OfZXVA1E1fx5Dr/j6H - 73HDsHujHvjxORTokaDhhXMwkbq0lefcjNR5fCRn/uUT2aOCVA9uI2gX/Sc7mAwY56eyJzgF9Y+v - sG7MJZ8un0sMu6vHqXr60J4mtLpAe6JHqv707X3HBGW07jXWcV73szAIKhyZ9P3l3c5cJTsTGiQW - 8U8/zfAmXmDUpTeMN3jJeiLewuIcHKj7wioQ7iKXYSpeANWNnekIKh+j3ctQHHzKdQ/QTd4T+Frt - VKryHQJbVOsGLK2v8+sfwNv7CsLRhlds/vwqU10IdWRcsOtj4AynaIhh1e8xei/6ij/PsQ/y+00n - s4Z5NbO1jcDqWXlE8L6tPkeBk4Olfn76FbQZPLagf7TNj/8qVu/CWv7pefTBgc50bMRAXu9uv/Pl - 08qcB2XnH3XEOHD0QfiAB+yY+0EsFfcV+enxnVwdqBOgB58WfIQpfmj4HJp5NWVm0MrrKXlRlE1C - RcL5MQC67ij15nEOp6JTI6W7jDU+bbS2n+8S229br7TpaS421Wy9xgke3udo4TfYd88gWEFB+Ryp - +xGLqrszIkKokC2a7xuj50XWBPBji2+KcYoclotWC43zSqWL/g6nKEQILPMFuudVkTIGJOGXT//0 - CiCoEkW44DE+dOSus9dKl+GrXN0I+7rHUNqXMZE/dnRD8EZHPh72WgJygedU105DNaKPGsPPXbTR - 9nLRQqmodwlMu/iMmF9H6exoyQB76S1h9Qa/1XsknwRs2NOjp6ZS+83iv4C0YiYBAih6fgqvD6iR - ycW+93R//jUBdhQaC/76uhBKZQ2YleTUI14WjnJn5LB1ni3Wm2cPRrbeu8ov70LJVgLMFVwEldPp - ir2OmICT5iLCO3hH9OjAlk9JXZewu+A7adOw7yU9cCIA0puAf/yzKahlyK8ys/FpvcX9hG9iDoth - KMjPT/ELubvwDa8OYXLS9vQy+Ak0wqwhK/98Cyd4kWL5x196pSz8FSQQHj7hROQlz+RpdXvDJU+g - 5il4ObPkfyc57NhIj5YxhItfeoDxE8fU+GS2zp5BsoLRd2fjn9+mkpWaoCsJw8ZpR/pRwdyEL7pL - sPmN9UX/rFsgX5WSWjJOw0Xf2TDaJhV6yw8DzOWlYXDxe0T4kKkaSNut4NkvI6w1Ka2mm+cwuOgh - ImfvmM/jPFyAn9o6dvBtU/UqedZw6fdlvuTw+ZvYCdCAp1M8ri86r6JBBdv6myz6N0xn398lEGUX - SF1d21VtLrgx+OUT4aJPpkAZ1V9+iFj5rNI/ecqCP0gwWc6H9X5rQl18bai1H+WeB3JmAIEcLiQ3 - Raf64SVY8kzU7jdPMH6Mrw9HJyuXeU7ufF/AgErsBghrjig47JQUmfLLpy35GOtTZoUPePLjDw0D - eqtG8VIlv/kRmsGU9VJ3aCAcguJI8TKfmPX47MITTWyMHzPjZCStABUXnakWXOeKZAZKIDNvK4zo - agMW/4LkJq/uaLed9850JIr6m8/8/BTnhm2ZcHmeJC/DCszX+ACV7FFAbHmjWk0HTfd/9UdV5Sby - WY/vCJyApJFfXs4CrbSh4/YTkoe01pljJtmfec7OiLDOQn7N4Wl/v+NjlJqhsOSr8AIbkTrqdHXm - MpMJfEDaoGKjJZwd5E0ER2vH0ScoxvA3LwTic/fFmOCkWvCmg29jdaCWjiqdXF+ohKHo2Yh9jbcz - B6ve+sNfh8dkhBt1KsTfvAbbL8+ofvnKbjWUnIhybYRjlcwGRJpsYvNiF0CALzv6+eFl/pD2/Dfv - sDzdxIaf47Rd9AKsGiVEN+PCwPjF6wd8CvYD47mx08kjZgTwNGj02G23FUvbbvr1D0VZTpwRZWsD - LPqUGn48OFx4jxfgIHTA3vbCnEFoBB9ku5JgfduP6Vhm8gDKtSZhs9j6+s8vwt+87/40qvRP/rZC - RUPkvZQ4M1O0RHFDw6Hn7b2rZgm1EAalNKAxUlk1fuTIh317NPAvj+T39XaA+OI9ML5ru5Qdjpqt - fOpQw4dqvdGL/sBj+N3xCLuSUXLqu8MFnrVyIqJZAX3qztoe8pbuMfq8ttWQMDmAm3mtYquQ3ZQ0 - X4RArSKJCMP1nM5J8+7ggfklelrBO51m8xgroeS9sVXuac+ujd8Cjvw13XMb6my3QQNsioIv858e - zDoyA1jOZoKPCx7SkedvuMxTf3iTsv3rzuAtP0tUM6hZiSc/K0GKV4hqm0TV/+ihx54zBH/+zj8L - 5g9P8XFuHtX8gTdDXvIKqs/DHmyii3HZ0as74v0yn+Nnuyqh97kXZA4+scOFaTbB4k/pFZ+Uiu3m - gwkWv011HFfh1GEVKct8jTzXg9Zv1mBQYbQvDaQI77iamu+5U/7+bQX857/++ut//TYM6vaZfZbF - gDGbx3//96rAv5Nn8m9BEP9NxT+bCGRI8uzvf/7PEsLf376tv+P/Htt31gx///PXRv6zbvD32I7J - 5/+9/q/l2/7zX/8FAAD//wMAQjx+2uMgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0d5f1a480e87-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:11:05 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '34' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - d9fc6937ceb4be70e1e66bfec2a69b1d - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nI was created"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file to determine what actions - to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains - the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file to determine the next - steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": - {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}], "temperature": - 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '4429' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA4SST2/aQBDF7/0UoznbCAfFpL710KgIVeqhraLWEdqsB7zNetbdHRco4rtXa0OI - QCXX+fd+b/ft0FRYoK6V6Ka16XQ+/f35ezZVHf95+PhwP6/m60/T/O7Hl/v5GBN0T79Iy2FjpF3T - WhLjGBPUnpRQhUWW392OJ9k4zxNsXEUWC1y1kk5Gt6l0/sml48k4wwS7oFaExQ5b75pWFuKeiQMW - 7/MswdPtl3qWTxMUJ8qeStnN3T5BXTujKWDxc4cNheNd7yxhgSoEE0SxRErHQhwd7EoGAChRatet - agklFnAoHhq0kVgs8WtNwLQRMBzEdzpigQkgDjypCqSm162wuBnJRmBpLI1gBqF2na2gC9RPxpVF - 7IF2TaO4incqB1KbMCoxec3gSQXHhlcnkP8IQbSmDAdQVWViV1kwvHS+UT2v1EoiNJOOT+S3vSwJ - +cbwQNZ7DELtBUdrFQ8IKXy75uOt9yhLTuEDK7v9Sxdz14jOgLQ3YrQJzUA1AybqAYhD52lwOwPV - wNJZ69aGV5dySuvOKyG7hYhPy6XRhljs9tx/aEk9H6XWxtrrv/lmKkocru+TYwwP2xcpZNXQIPyi - dMam/Oo8vEMjzp7WL1GOED3IgafkPe4TXBo2oV4M8cMCg7gWEzRc0QaL8f5x/+4fAAAA//8DAAZm - Y9w8BAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0d64a9660e87-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:11:28 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '22145' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '85989' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.674s - x-request-id: - - ed28311acec7dc54b88da3bcb013fd1f - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Read the file - instructions_3.txt\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '273' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0yOQU8CMRSE7/6KZs7dza4Lgj2ayEFvHiRRDCndt1Dd7SvtI4GQ/e+GRNHrZOab - 7wzfwsDtrLgh9sXsebbvT6dXdouXLjlaxvnt0/Jxv3g4vs2hwZtPcvKzKB0PsSfxHKDhElmhFqa+ - m0+rpq7ua42BW+phsI1SNOW0kEPacFE1VQ2NQ7ZbgjkjJh6irIW/KGSYSa3xh77GdaMhLLa/JtPJ - qOF27B1lmPczBsq/zMQ9wcDm7LPYIBdDDkLhYm+D8iFLOrjLgxJWiWyrrOp8TyrYgVq1wr9KXjel - HGWFEqNG54PPu3UimznAIAtHaPjQ0hGmGj/Gm28AAAD//wMAKH14BlkBAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0e0018ac0e87-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:11:33 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '1984' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89461' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 359ms - x-request-id: - - fb6f397530dcf4f562dc86bbcff3c693 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Read the file instructions_3.txt"], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '111' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1RZyQ6rPJbe11Nc/VtaClOwqR1zGG0ChJBeARmAjAw24Hr5VnKlbvUmC+IIx+ec - b/J//vXnzz/vqrvU0z///vPPox2nf/7r++xcTuU///7z3//68+fPn//8Pv/fysuzupzP7ev2W/77 - sn2dL8s///7D/++T/1v07z//RP6qUVcGpbnuQSjC92Z8ULeyVzDuSm6Gn+z0otp8g8Ec8+ccbtbQ - otprb5msiywellmD6G5P+YAqt4cDuSHvsG1ogsn4Jx1hDEmA/QGUw1yqwROY2nzF1ePMAZqwjwLt - +nVBz8GYwRQbVARvPvDozganarwLegtHR/jgYIrWgLGm77eSdsiovgrZMFdIEIEQuRCBPk6r+VJ8 - 3tCbWpHavgW7+brb5vA5LVdsNMlgjvbj5qt2lUU0Gvn2+38tET7UpKNRmQopUc2nBT+pm+PEzpuK - HN9nB5pnocfOPl7SJYjLGzhcZB7r0vsTLOz1ThQ2FQckwbAf1swFsnJcDz3eAbsZXiX5uErrnu40 - vAkym3zuFsN7w92Q+ABvkx2XvgbN7u1T3wrEauJSBcL1LIdouNTywAQbW+C6rRLsazvEBrCxSsDs - 9UbxRr9WjGG5hufSb3Fg5RYYW2vWYEe7FodiF4N1h3kHPj85xNYzk815IV4GWumDEdttSDCW5ccC - 24+MqTGaVicOBGUAwjsla8BfB5bfhQycYkmjyGZRMDV856jvWZUI6GOWLmqyOLB6oQ9GzbUP1i2d - LUiH2sfnj0XAEMhtrwZ3kCJ1X5+qz4ocDZraeqW6x+0qgbt3CbwVxRX7gZsxkUSvO+x8saGeRXnW - N+pcg73uUrJ8+nu1rOqhB/fLElFLK71OeJFbrX66gkeKpnTVYu9jR33KuYc1xXkEK4WbEPq2O9Jz - r9y7MTQ9CPpcvGPNb22wzjI0YOVwAY4Kb0iX7LO1oDvYW4z2AAZkm5Q9FPnuhN3R4oLFSU4cOOOH - TFb9Scz3diPx4ME1PLG9+Z2yyfZXcONrmdoRT9nceqoFc1FjRNigO1gkcAnhbnjN2GsfFaP4FK1g - FldEnZvus1VqPQcIH3zAnuh9wFLvSllJN36EiPNsuiVpsAt5Y3dE9CX75ljsJRdcD5uWOq6tm/NZ - MWI1xKTENnwoA7P84gmbze1Mvf5AgzVWDE5pZkaJuvM1U0L3rQYFF0rY3RIyLCQ0ko34qiPCe3t7 - WLt4fEKuPuTYqVTTFOEDjUAQzJhw0+tkzvr2NMPL3jCJ3KwWG8Vqf4cStgyas20IqP+UL5DYjzMR - bdeoxEfYlLC4ZRbOQmRV8yjYPEQDk9HiBSvotTWJoaaUArZowAesirRWTbOjg+3dTmUNeI1PmDfP - mOJauptzZjoJpMzScPnkF8AWMfeh5G4gGeUzSeeVBiHc4eaIdbJEgXA4uTM0lEpBimlN6Xhsaa3c - d0GB1qv7rZL5mUFYtQeyDDxKyauMC/jFl+8868OifSxF+fY7EndJmIo39OZhi1eAgw5PwSwHnQ9T - rLTYu2YuWEjoJ/A6Zg6NtEjvfvgHi/ne4ugWrWxcNqCFYHKeZJZjnLJt9TbgO4yFL754ARufXQEP - z1uPTXdtAXttKxdEXI1wyE+V+aya4g53uDtSPRfMar1oWx5oDy7BLtPhQB9qnoNjSXkaRmM3jDqX - 8+DaLGfCed0tnReGSoVvDwIOv+c1oeSSwO/vKUpI3LFTAw3QPWUFO09cp6v0cnx47swPEVjZmwvg - 9yOc8sNKf/08h4+xht96kXm+1cGYs+MKHFGmFIsfc1hOI0dA5swm3a8C3xHJGnolPOYxEoM8ZZPV - aoUql6WDVhKRbuGWuASkGUTsHLR7x2Cw3FXNXBhhct4Ga+HACwiYfCP9TeE74m6CEbY7N6VHjY+H - Hj4cAtM40PGOy7Nu4paigH2139FIWR0gqZqTQV8WFSTHVsiYWbmynM7Vler03nTvvW7cfnhKpBU9 - ukGZSgThbRWoZR7dYP7yCQQnkBH1pT7A0jrnHODDM6LmeZnYyL0DA64fsiPK+h67uebsCxwnFGFb - 868VPSO/hG11F9F7nd7pfGim57Y3Cp1mdVmyZeQqtM3o4FGvjG7moiZbC/jLtcNRo+0qspv2Nxjv - txa2AyWpZh4qaAsm64mvHd92c2vJBuByRcPImgdGPzs/hHkfyhgn5YUxlR4gXChYCVePh4Ecj+MM - NtBWsbtXjG69n/ejWjSPA7bXtEnZfBR5EJx2BVmUx45J4Xa8QasAMdo8l6ZarTnhYahtRmrro8bE - gyesf+db/uqLl6y6b1juaoPG9yIKltyNL7AM5AfVXXfpiEeqAijPyMHR1fHAuu18CB/L5UOEbfbq - 2N3z3nCf5TpaI3IO2DndXYDGPRVsH+6mSabwMcLr7RbSMwmkYaz9tYe38HnH1tY7mfS4tLV6iwSB - 7rIxYYzwZQk3Yv9CQrVmwxzzhwzoDpoRoWfC1uusX9StuKmQar+5gQZVFMIpVmokGb1TseC1ZrAj - 8Z7a1eWWvnN2XSH8nM6o2EXxML5N5QKTdzKhLTrZ6VpmXQ3VgS9xArm3OebBHKrJY1dhw1+4dHlu - 4hnUvSLRSBLewTKopxw66WWD7kl9AHQ2vAuQNneOOkefdLO0nRVozybGAT76YOKWuFDRhYxoq/qx - ucKHM8JgTHoaqDZfLTmcXKgLlwqxurfN+f6uC6iXn5Ta33mefSFRIJWbHNu/84bAQ3BIg4pw99pl - DAlNDnolzlDyCt8pia5PEe6CQ4JUwoUmyzpWw/56Dr/1v4GVpTHafvkHx6rZATLLUAPsg2K03vCH - jao3EPDFv6++2qesZARBZb929HseFdWjvQzlZ6jTfaC7HQn2Eg8bi+ZEzKLYZDclJqoePXdEOTgn - Ni9Ez2CF7wwfymFgfQCNAkb0rFOTfyKwmE/zCUgxU3qo1qxbvWCW4dsCFwI2XFCtlQlceLeV3bff - 9XQS3q0Lhu60pYieCVhMs7HAiY9nWmVoZ67NrdLgpyt5vIO3CyOy9r6A3cIdaGTtPZO9cvkNHUbP - aB4+GzCany6DXDoS7ApclbJmc5gh6tsXWVRRYbNanWXwrTc5odOjoqD+KPAIlRTjKM3NcWkvlnLX - iUEtb29361jEHBRZ4lIjzRxTbCfNh6oMntR6I6GbiYhHBT3zlihc/ap6vflA5UC9BDXKtg6W91n2 - wXV6HLHxyJOBnedRgdLmyVF3F8Ud80ozh0Lte2TT8e2wljsuh/utbiBht1PB0nbKDCVXhRjr16qa - B1tEqmbcWrR52Ydhui/NDGXLbJE8KQxcGlW+QCYYAdZD8AwmTVgN9YdHp+x1DGblVLoKlIse43Ub - p6ui9/lPzxPZzbbduJxPGrhwhxHrrZqky9bSkFq8uRHbDvsMq940EHz1I5Lto8JI7Mg+7MDxjFY3 - 1QLpix/bl7p/U5yUHBuH/eeirEJrYDt53f/2n7Kxoh6j62Ps5q++g4ae5Ej44uv4+FxicNlrJj5d - 36pJFOdVbjevT4lAc5KqabgCBZydTUzd/nNjC7B9Swk5aBMabhq26Lt7Ar0oLmgOPlqwtHqRQArG - N3bagGcj04RaAQ+KqZHvLfDtnx5iQRyocbjM6diWUwmrsGqo5o5xwLwyyKE0nkai6Op9WNj4yMFv - fjA3DWZfZsMF1l13Q6/08fnymybD735oUCdkYC0onzCI0jMN449RCaejngHRMs7YJerBpEFlh+or - K1p8MMUeECBsDJBpH5WA2Z/BUt/nDJz4ZCbXjb6pVoS4Fn75+6sXYDpLnADBTN0CV/rJCSQp2how - xXKLz4cwHPpAxy1o4maPf/pAKKqwhbDO9wTeGmuY+G1ZA4cmW7IRP103ve3rDMXwY1Pj6t4YvQW6 - AzP68bCZKQtYyRBpsFeSjNqnt9/97e9bUV4xchQBrCp3g/DLF4jl86tbF7tB8LiddLI9kSuj92H0 - 4b2BN6x/9d+ccboPjrahkVGNDbBqGRThPdmk1Hf0MCBSq1tgemQbHLkPNZ3ScwCVbT6q2FfGLJiX - 896AwfRFvuzmg6U+2Za6b04RdsBHM6W9lcRqcJsQIvvXDkw/f3P0zzlFsayA1dKDUPnWExtmbQJx - VNgF9quiok2pOh3fuACBwttcKWqufrAAf+dCeu0x9rKXFCwfvb6D4GQX9IqcvqOvfH7D7Y7O6Aa1 - tlvqTNOUZLys1DMefbfM/ecJqZcOaNPxRifO+ekGoFz25C6CV0WL9Z5D72SliJV6Ocyfw/0NYHSw - sJaeGjBkegGVlswudkbvBBYKTjLYxPoD41qyTHETxobadKSjjhd6bN1S2QHjvkiR1J1Hc91sWl7Z - fhSMuCm9A7LZnx0Yse0D77JxZaRR54sKb7NA/bN6AKtgNiv8VDNHqzVT2DT3zRN2171Fw77SAY/t - 6K9fwQ4/Nh0571v351fJxjws5q8fVAdrFcUPogXrg5oKXIWbgffb1hlE/SCO8MsvFNsYDcvZzWbY - 8leV2l8/NzfPuFcPihphTd9wJhPpvgdf/04NZ8rZGpWfWXFKPieijwOT4UwblVHZnxA3x91APem2 - QtOJhN/+hmpZ9g7cXpwMbfe5FSxjNY9ADYWIhkp6D5jbszf46g28/3LPEs/qU7mjG8UWb8zVGg6J - A4NQCyk6V21HNOmYw2KqMNlUe4X9/C0oN/kBe/0BB6wwsxEKn+hA8bqdqzlM10Strxakzlt+gmXr - RTHkNswhWzwrgBial8PvvFNTzo1APKWfJ9g9/ZJ68hF0lOQQwt78JDRa8TUgHcMW3EnVQHVVVAD9 - zf/XP9PgGQ5g3U2nG3CbUKO//qEbd07UV7iO2JAVrZuZptaA2ykMtXaup1Ktn5Mfv1P7i0eT9bJr - ePGKCPsYeNU67t5vKKN7QC/71wvQuN9AEEf1DYdL/Q7WH//4tj9iPRe6auG5Ywvyw3qg4aYMAWMb - 1wG//tKMde2+/lsBQJYb1O+khs1QWmp4ifiZyCesmm/zM2QQbmadHq27CdYXXGVlH21q0tyYW33f - V8NPtXI0iu2OUd+rNHAUbjDaEAcA4tYfBO0UioTZBu1G47j4MAiNkOqNsph0vb1XsBh3D+9ddxkW - q3UL8MUnesXwljKwCQtI5S6PhsbuzLWL73eIm9LFGtTaYWlTo1Y/knDEb6esg7VmxgxC92DiaooS - 87m1pxuwRqfFO3ASAJWNaIU596mw3Yxr0JGch3DXZ1cklEPAhtGzIVCn3YCk8hkH0naMc/UotJCi - umiqdfjoCTyBfke1ezEF87WvRMjXbw2XmmKmi3DcilAX6up7/mYqBvsNL3nLpqThQeeCcbMVQkiL - RCZS0BiVZMDPDbw7ZUDiFy9nC5xvMHnH01cfXiqqaeMK1VvC0Z3BlQMzULVC1Hkx1lTTBEslvHvg - 1LsXDdxyTAdZ1fpfnkj4znyYLPBrGT5OIkMS3T/Bw00rESyXwkTKaUvSyZalN9y7rUN9WeTSZVye - DjxRPsTunXYD3T/5+ecXsCbHuGJ2fGyBNxOPcI4isBlERAZf/iVcLCuMfudbzS+FijaFhTup+dwK - iE9rgl2JX8ylFvsWphU50yDJvGG2wKGFW2H0qZ94VSC+vbcDfn5RTfDE3o5n3WGWCphsy0gLBFcQ - c2h9AkK14TB0zHVPLixuuUU2D3ILaHj0Dbhyfo9904oqISJbHl4e9ROH05iBWbxdevjVlyQJ+E1H - T5vTBRzW7IFRLJdg/unX2kyNrz65g+mbRyl90l8xkqLWZIK9s5Qu72saKq+imsZKHkGVmUekSFUT - TGLoPOHl1A+EVVJcLc8DQnBDjYU6VLCr+f3MILyoTkXtrz5/PxywgpEXTay1F9wt3C4Swa8/DTWp - U9JmdAZ0pBWKPlKXvr7v/+lLahdNA1YnleKffsW761SA1QtkGd72pkvUj9RVS3TxWmBcjg3d3WMN - iEPQ/eV3bEzOg62o6t5AyphE5FQfqhlCrgVicdUIiu/PYeEMbQXrFj7o1y9UPz8CH8iQKTYP+wAk - uVVDXOkdjvauHbC2mC31LR8QDaJIYwIe5BuMZ2WP9SMcg7Ea0/i3v7/5EdtEagZe+yhGslNCc/a2 - uQMfwjbENrgs3WJJ6gwjjDrsD69n9SnkD4TLdcio+zCPgGTDpQAbC/fU+PplcrvuXWhXeUStY8d1 - 42BzITyLCBD4WqWUuOvlDh8G4n58aC5CYI1g/GjuD08ZGXvTB1mIT9hToiVdgSBp4OufyceiPJii - i3cDXz9Kd+SypkuPPAJ3fX7FjnaYABPaewu+eERxL7zZ14/doTkbPg1uhg6I3xcIOrX9+uVPw5c/ - V+jp9QWH9bJUf/Mx33tham5ePOvd5hnDntKeGvlja65UWl2o7TYyxW44VeumjUogRD7EoS67YP3x - of9+1oT1b4+tL6jIyvvhQRpsuCDlP8x3gHEnDpJk1zSnqjARcA+FTc8fCwF2P205UCWrQwZ89Jng - vHEOojqlf+8/ltc+0GCqQBf7VxYMbPfZrlAhAqH6S9+CWeJUCGypeJLwdTEDKfGOGdQ/7xtOvvqe - 3Ye7D/dzUeLj4bpLef6arSA+xRXNmgin7LI8Z6hCS8bBPReD730JDw95Ev7Fz9k4bn04oFHC3pIf - KsLFFdp+8ZZG6Kp08/tZc3Ae8Z0oG1YDsdxxmdIl9fFvPiZdq20Bivv8wt6X78eai2r4zUvQsGYl - Y1N7C+HbfEc00KeyYqmduTBKhx21UEHSUZrM+e/8eVXcVCO5JRnsFCekAdvh6ptvW5A/gz0Nj8rB - /OZjGvQ17kVd0/uY7IKtGA7b9Uy2u5GlE18JBlwAnch6wx4Y9e1+Vtj+WeFdm3fVPCZdDsPi1aAN - r52qdQLfeTl8GNX89sFGqwDGD0/Q4MdtMNfTwVclkcuxVx/76nsfksMhzyaifPlpzEyUwNdbsKl1 - xH06t55g/fb35VOjGx+K84SVAwO6a1559Y75cwY2z8KjxuTY7OtvNPjp14D87rdebE04qKBHjFgr - 593EV6oG+lVWcbk0HWBn5Bfg+XAl7EXPGCwY3kRVQa+Y8HfV6OaT7ohA5JsTNdQEVl9/y/3yOSTg - /tFN1ydvgUMwtUjxkmuwLj6Jt7ebcaDB7MdsvWgLr+pIKND8ehTVrI4O+uWrODC72GSFWY+Q7cyF - 6vPQdzR+KAqcxjEn5NIOlcTWEgJQvE3CFW8SsF9+94ZsQcr50wzTL0+n8bb56l0RkMOrQlB4QQvn - m+k1zM6JV4B1pwFZ3VdWzYdN8BUmi4YeX3yfjXdzgdfpdURbYrfVHGW8q1ZU2uMQaRKgU/sOwePN - a18+CzrpMn4InLMXJeJCW7C6DUngiLCGqB7szCUjnA83aE0JPD5vYBImGoIk5X18YISr7vvuYYC7 - Le/oIV7QMNfvwoFqKEVoFVSdsW1108AZv2TCduGpW67W6f7Xn6eGPbO/fuTiXE/UP21RSspHtcKw - cwNq4cAAopUIBfyMZk210dVSiXatBbZLa2NfV61uxpr7BtQUD0geRiP43q/ctxp3V6h/U7JB+CSh - ApVU56n75ZsVLkwE3/wQR7FtgmkwLhd4KsIjrkCQg3nYNzXURfo/AAAA//9Mml2PojAYRu/9FcZb - Y2QVaJk7pOogMgUBPybZbEQZPhRFaEttMv99U5xs9rY3TdqkT9/nnEbykbPg+XK7A4H/ULFCZg/E - 96tjBIfF2MWZ72qoknwHdOfDs/dT3fEluMea5sn+Mm4Da36AeogULK7ZDBHMBAV3MwHeYhi3IXPq - Xyns+mlLRNO4dfSvn/5pvUwxEP71qcNcORtsj5MMCXIjPhy+q4K5BWWABSqFMNznB89dwTYW22Vi - dvmDL7JPn8p+0bBZOHzxFNb1y2m2Kb2VUz3XtfDakxHZKKITsVRDPqkaC07ceoHb22a+Jm7uUhih - kr/4bMdz9bJJMVuYzjimR0sL4Hn/QbHa/d/AqVKNSaMV+LG2FZEWuxyDhckvkq+OQ77yDvcuL3D7 - 3HEgisfDB+hUfnpmc4pqInkg1BxgsfVUR0BYMMuBaeU5W0NuoqnMC/1rlo9pLkyEFLUyS2ioWulJ - 3hu2FqG53r1HHxv7ilruF6oq+TmeRk0AeLldYkBmmufNnpkZc3kfEC4MwjB+rBCz7Y0Db0plyvyq - Q5GS4gJpNfugpZw3n9D73EE5n2G4m4/jbl4AdmISCpYpFW3QBo4x6KyA716//7szDMr7OblKMYAk - nIz+qQKj4/k4UpTJiE1eJgJtjmkyePuREAZVfS8r8ofcL8mtGbz1wcs2GJA7OV7/W+7Jvb57fwEA - AP//AwDERdaw4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0e0e8c8b0e87-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:11:33 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '98' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 31520529018ec34a92e781fef1a3cd4b - status: - code: 200 - message: OK -- request: - body: '{"input": "an instruction to read a file named \"instructions_3.txt\".", - "model": "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '136' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6WxOyurbl+/4Vq9arvUsEJJP1BoIgFxMVr11dXYCKgIhckkBOnf9+Cr+u090v - VoGAhoyMOcaY+Y9//fXX33VSPNL+73/++vudd/3f/2M6d4/7+O9//vqf//rrr7/++o/f5/935aNK - Hvd7/sl+l/++zD/3x/D3P39J/33m/1403eGjOwuRPRf9Xu8fcO1nByq9sr3gl45K8F6ZA7NXvtsu - ko+jQZlJd2aczrQYYkZq9REsC0bc7zXh81mZg9nFFlbfH7MYA/rZwPh2a2LPRZ4M2RNmqNwqLdlq - PS5EmW5mcBs2B7beyl8kZGH7CG4fazr2kAjUSNJ0mT9IqJUpEk+yN9AlGW9svTsbSB6NUtPkVTvD - 3BC7ZBS8PaJDt/KZC+bKWuzX9ADweL+Iu3wFVl0cTFl/DXeP2aVRC+Hb9xXIZfNlljHQqNv4lyu8 - vs8lMXTYBAPeaTng3TPHM2c3twYXiLzkl25OrMbtklHKXhISG+eGDz29BaNrShhtpPxOAqneWpw8 - fQN9n9WbSud7GVE4hCv0WWOCB7G+WgOnfoY+duhRaRkF7RdvlhyuT3gQA4EUjCwYNpCMRUTsJ59H - bD94Gjp2yZqFw8tK5Net3oCJb5xY0fHaDjw3r7/xkHWfLlqmXLwcyLkVJByGUnAsLBUoejV4SYsg - 4YMdS7B0DI/yY+VbUk7DFJXXxZZZ/eWDxu34SuH7rUyGSYajDgtL01dl9aLSeZuLEcluDPCuWmI+ - DmrCb/zlI/d1fJBkP75Ff9EiTfc0SvHwPMyidufZGCmKXDNySmfJuHkPORg2cfGNWThaZBcpBNRf - tyyMH9hir9LloN5MYKsO82DQrMbWohLXLGT7rVDQXLL1azcLseT3j2C4PvYHnXmvB/nz/Mb1ABZ9 - umeXGm8S0Zu5gbB918jWOnoBt5dsBeHdOZJV/1AK/pElAy7X0cVqfHkkPIoWI0zzSzaBzZJBE3WO - jAfO2fbkEkv417MKZ2XI8TK454VASHTw3LlfPLeWS8EjC3ZgnmINy7e8C7i0wBsovvWanGgYW6Nq - RhSEEr2YvSy21iCtxAF6cdkS62wPwaDNvzXa6+aAW5w3keCzRwqVHs6Juw+ERZ33vERexiJGsjSz - BiN+bfSZORqEGDc94J58ekBSvxRmHKsmGD5QH5G/pjvKTWsQg2f4IeIXOsdSpPeJADZWc6jKgd6l - Pkb1NsIzaHf6hzjzTVAseOWN2oR/Che6KIaPkXH9kvInc3dBbzUHZVdDsNV65uLgZtFG2cQQ3NQT - 5TrUAd+RTQ5RTEKCT7sMjXJ/kUDmzR6PL+Ra3JSWHC1PhkXid8eS8bIxV/pxlzzwjJ2TttxGzgwc - xyMstFotGrdNTUEtrCshi+crEfOaUhiR3TIzy3shzstlCmIRnWhNNWgFn51TWJ/AJCtf3QtumR8J - 8ssjJGFMWdtrrPaXC/+ZUfFyH4Uor0YJZSbfiUejL5ruf6D+exkwkMQoFKXwa9DVsZnWex9wUvgx - 3K4+kNUpgaS3gmMOWRTVdO7cuKC4qs9w3N9KQpJ0tDpn3fiwaB9rvIRqFB121zIsoodM9yEZAr70 - ZBW+q0rFQ/gc237b6T5qXuOTeLddXdAQlxvYNIXJgv1hhQbj8c3AeIY1MbORJMM7K0ZUISxYqJdn - NLprqLR8+a3Y6oF6q9+fPiO0Aq7EOY9RIVCwOIBxxykzT3MrGlK0otDgoSdWp0z8Mf0/6XIwmL9f - ngqe9vcaadZ2TUse3cXEjxJsxnzPJr5KGDmtj8i2+IZNz28HCC8UmlC82B8+o/q30sj5K+j4THhA - i/zOwaLCp+JZvoR4fJKDNs0/IfewLLifR6VenhWT8s9XSYb2fZjB5l5EeFDfniWQgo5g3EKbnc15 - hL7V5pvDe1ztSKBc30kf2koKq8f7zryJ/2TvrnLYng4jreUmR70Ojw2KpeOexfHNiMSNvkNIxlfE - rLm/LbrKWVRwiceI+fAsghbNJQdRfKQ/vgpGdRHn2rY8dIyMrBZl8/nEIF12BnN3CS1Ge7+RYR/L - F0JmK0V02gAVhK29IV4tltaQC3WE4KxaLOouL8Gvx7JCZhRThivLKIb9lq20U/65EMdmYcIJszKo - Saziue+RRMz55wHdJVBJQHIejc59JqNhoWaEHCGJyvs2rv/Mp7e6H8WQt6qhNdl4o0AHX/CjGDt4 - Vc8PBi8IovFg7SX9M94C4j7pPRoWOQ/hbvchXojUi/68v/IgfbG4HqtWjHHkoAdTY3Y5J6tIMgxt - Bjzu98T0nmpLvZt6RVt9Z7JDT5cBc4NMg9lcN/HM6PNiEPEiQ1K8OxDzc3AC3hc1QPbap1i73KqI - y6a3g5N5tchG1spk8MDj2tN0GTGS8yoRhiaXcIl5xPaPfInqiCxiSN1sR/wivEYDAV7qfEY3zPje - voLl4TYHdSX7xAdWtuNl53HNU7scI++ArNHqrYf+mqdAXL5HoiX7ECDsHIyXcbYLuh/+m8tgTetp - aw3P+XwG1+NMpwuaooIKtXMAD6mLVUVrkqZWcArvj0FJgjaWGGuL1KDIck626C4s3kZ9hqIKS8xw - RBmM71XMtdVQEloFrLKyDLs55Mo3ptpA5oL/jrezg0uwJIctn606gH5xueGzqp4jtluuarCOA2N+ - kS4Rrxy9RNcGDOK83/OiCv2Ww8QpzIv5vhjwUVNRTE9bEhTvoOBtUh3AsQMLy8vrLeqcZT1DjTFo - OBfYE+Ml9GI4KyLHeY/P1pi9vzs04YcOn/zT8tNFtRHk5Y3EComK/rI6drB6lx9imqFVjH2gYKQs - pBQPYpEWwnCUEdpxdmDr55cU/ff2VJen12fP8D2Sos5+vzewsxoDy3yRi7GL5jNw2XHPiO+xSOy/ - 5gbmLuzJDWQpYjvTSpEeDT1z2reIvqE9fyDf7VJ2OQeZGJKPo0K5XbQMV1EejOl1eYRYPX+xnK6s - gAVSkmrfe3mjklq4AceKfUAHx3TZ/Ru3okOnJaBUYxz/+Kt9sHSFSNl+WLAeH5bwsksN3okNtJ7w - 2rsScTTtGq6wBqwsuPZFEmx4vqZC9udilK5fB6n6SuBxMcuT5nZVYuAF/WDZnm9F35j3RnPzc8nM - T/4pGFLQGWWvKGWrni6tcavlobafWzr76V0ldr4PtDX2iwnvnpj0h4/C1tlQ2WSHZAyd4gqhsw5I - QNW4FWazcGDSU8w9B4YYnoqCwSWnkVnuUP/wOMJYujkW3DUS+el1HaijOa3X/NOOt53c6HhMtxTF - i3lCV+b6CotneqfcEbY1hLbygPh8mhH8saq2vwtzpq8+pSC3NLODMQ15COfFcCZ+/DWFUD7B6ldf - 6fLCLwW7PYoOpORwJUH6HgQNKPOBakVJ3Kj1EN9FGxV9rNCa+EqP+oTYDUz1j46h+kY/PGpT/WVr - nrJi4LHRIL0fNgTHQo/EeTk8YNmSBWahV0TMJa8drO6fCxanY1iwW1NKYL/nObEf/BaNSbrsEJbS - G0Zcpe04HqsRHZ/JhZnZIYy4CWMGW7bbEvKdQzFdT+HjhCe2+3p10ufK0kcKVQ40c6KXxY/FEGrI - T1JmNDeCRNdXPqgfk7O1XcVF93KcEaIbcZgH1UF0XfulsL9IazyLhZ7QE6w1zXG9Ewu/L9R2HWox - FOsvJmZzyKzhQg8cinWL6atcNWjYcj0HZb94M0PvnHaRPaUZ3Ar/QYwZUIu50avW2xpkcrvt6pbd - gwdFT+HEeJZZHRpHo1N/+Kf5K8jboX0dKr3LPEyCiT/5zcip2lwHjzw8DoGgi1pGh87wybOey0U/ - y5IcvayJv/bZKllw6udg5UOBZf42k7GqdjZ8V6VKq0t+DfpmmUpwXgpKZ9L5W/Q0Jw/Uy6cncVRV - TkSrf2rEuoyw0EkOYthk21BbB7P3b/yBiHETgj0Hnc7v3acYkmi9gtx/PKjszj9Fd2yXM2iuwiNh - gKxCfI66g4QafeiSihCNj++Hwi0Njswy90NESz/K4Jb7Vwz68RRxnt5tNPkpzKMqDYbreZfBNj9k - bLO3i6j8ULHTa3JVyWbyx/K2yTpdmt1V4kzrkb6dZKPdqg1n6+3ZQSJPibHchvuUbHjctyJzdwf0 - fZRPFlQn21LW5HNGE16ZiU6vhDP+ADivqw0JvaBNxnFXXUE5LFp2WMxW0TBLE1/bXg4zeqMiFL1n - +yVyX+cHW7vySfDThTt67/h7rBaXzhLFZu0jLQmPWHSKLeibXuU/fvGz2rxbXhxMCRHjYRK/Tc2i - qzSI0YQvvJg/AdEt/dpothodXNVruRDaR9EgINqSWWpzFsO2W/gw6SUqNdz8g380Fm5KxTxmQbe+ - dSsIXXePlV2Ci7Gqrg6wR5Ywb5oPgb8Ea4ejgVh0swOrvnRURuh8sxl+WCoazo/LUbOtcUOs8oPa - 5rl/p+DzpYGHA/sIvjhZG31vyMCc9xpapgZGrA979CUubiEQyeprw5Q/MLd8eIjCY72BhvKQxTCv - gjHd8Uo3D9eahBk2ikWq+EfUPvWMTuMXo7qMNXQ8JYDVNn623aQHlzOTG8RZ1jESzqfIYX2BLZn8 - b1LjAGM09MsdrYtLF3w1kWVwmlUz5mNPCQbdeJSo9JUbCYrFNuDrba7B6l19yGpuJkhM+QBwwhju - pT4WfH0qGrRUtwWbxmOJAoKZdjephhcNPFpRdqsU9L14UVpZRisHOV3BavWWmYkWZcLnTVPDz+86 - Uz0U5XVTwdqfPRm5h3ar5Lu1iopHXTCfhYbFD8V890f/+8TTg+66KdJffsG8tb5HgwuuDGO1pmxz - U5KEe+PdRrLRjsxqPiQabHaT4aheexLe6bd46/DwtXk4Y3Q2OpI16b8DXOb6nPnK/BpwZ51vtLg9 - IgzxbB/wXbDZQJHWF3Z3jkXAnKLYoLNdrbCi7Bftn/vfbyPHc0ECNO6j5IweLgqYpfoR+tVnNNU3 - Or+GZzHqsnmG7W3vE7ekbTSkbqBqzC4MvKyjs9V5q3MNdHus2WPD5eBTpsYMTX4eSx/+CTiYqrN8 - cnvDgk1+Lnqee1fwLr3+xw//wffm/orYRmlqQTO9yKG4N/c//pZ52bPW3q3lkG1yKRN+PXaVps6M - JXscdpUQjvI2QG9HwK1yfUet9pxv0OSffvlTIJJZVutWP9jkPX+mqN/WMKJ+PLnk8POn7X5vQ3MT - hDjt4ohEu6g02MmLjISDmSWiLL0O8jBtqI76Y9FdN22K2gWUxL98XbQIYdaAhzqJ3RdbHfV+Zxzg - lx8ZH0+a/EmQwxoFPVlN+nC4aIkG7Jm/yJTvCVmUeQjpJjuzZHNYBAx/SYi2p93I1qFsIeXxSXbI - H5ch8XdLUnRLb6b+9Dptles66kOQG5jWA/PfHUnGnXicNXo774jVKBw1sb3IIUrIgYWj6SQ8/Z4O - sNs0D6rvFVHwh7nPdLbLaywplhzQ9Mhn4GV9hLOT01vcHqodJO/XmznmXAieN7YDJ1R1GLQyFSIP - 1xk4je8QM8u3oj4U8wNKT7nNnPY0iHH5vhnA2tyjSzjvo/GnV3Z27bBt5e+ihWgUA2kxxn/wPqzb - 2wOMGPvMMZ8cNfL74vzwgvvMT9uFRY4awLx0prz2KZjZ6PbyWTsqTengIwU+Sxm9pGfCzO40F+Lb - DTvA3dPbKsu9V4xvbT8D57sxSFylAonja7EDgyc6ViY+799qtYK5MwsorFscdTfId4r8ai7Ev3gl - osv7dQdf93Nm7q7lVs8rcwSlkTRCvOVWDNr81aCYXaJfPhZ8J7+tTXqbBIMqFd9cGfzf+8czsutE - T4BX+rTemB/fsmRcrdcj4mF/Z1ZgFkXH+Bk0FVY92RrlDvWpZWUg4/aNRemqRXfJ3h26BvqHFrP4 - a9FwVRiwTfZnZr5ygZjZLGzQJX4gLuyLdjj7pxQOu1WB6YF/0ZAzHsOj1/CUT4h22KShhH58ajWX - Xkz84gO9nn1myusxEC75HpB5vhnE1fasnfRGA8uNcaLcLeqitsyPDPhwp5Pfxy2SlTD74ZmEzOyS - 7tOMqj7ld8xIHEPIm+9ShZkOC+Ljbxx061NRg5HiM9m8lSIYpnqi4cf9ROXldRmJ8Hh9QHDWrEkv - jBH/+SHbHvGkX+9J+6tX+5u8Z94ug4RO+S2Skt2VnftFjVhh2DG6XzuL4SnPpsGjr0FhypXuvt4m - GptgddR9aXllhht9gibdqeUvr2Pu+0HE8JoPGggpIiRcIyY4Og0zeNuWToUaL6I+Or0o+qZVRKVP - 9i6GaP89wz6Q72R7cBeBiOP2/NN7zH3TIeKffPSRpfCMrV5JaXUjv2pwK/2SGdfzph3HkK5A6RYO - scP+EPBUv/jA9jllvvJcBPSgXGuQb63LnPOBF1P/IUO+hK7Mr8IxEQghihRJPhNnfu2txl2iGDxE - JTLVIzGojGKtpPKODp+DY0mGjc5qc+Y6nju3naCQb7NfvsCMpCpQ99K2pVY43yPNF9QQC96sfBgG - bcM23A+Dyb9y2IkFxkOTvyZ/483gjumH+evKaJXAONZAw3NOxamkwYBDbQMBVgU57rbMGjwwRxhG - FZPIGHC0YJpVoxy1I7PP/VoM6qdP4fi9CuI2s6xtIeEdrFYfmS6tu4b4XOv8n98jTvleFqy/lTv0 - aW6IqlzjxZgNeQysySy2wccGLZrFMUUPdxmQteh8odS2qJAiSzkhX3K16Fu7AahzY05fh2cViXtw - 7kDfDy868UXRdfO2RN+0jNhaCV0x/voRra3PmXfJzkHXFxlAUr1a5i7337Zn/jaEzb7omA/MLsSP - 74/K9fd+sqIb7IMEmn6j7Nc/GR+vagb2ejxS9amQ4DPhH8Xy8f7TW60oJAujahl+iEeLNvnTT0Gn - 64yZn9GzeB6vKljQxwU/iNEmooZx1Kd8l2Cy69Dwrssc3p8Vpct3oRf9PNw3+vR85kx5y6guDypA - Xt2IZ+uB6H79Ask86FS9u7KoZ/67g5aD89NHltLqrPnlNYSMbIMG20pGqK9XTDA7o6JPA3sHRhqe - SapL12RU9qcQYum8JyZhWzSaW5yD61+OFHmrW9EnhZMDDGXEtpkPLZd1Q4ITlCNzdvksYeeBdz9/ - gUXzIcmQKqsjmumzBcNTnvbLQ/SN9VKxdvl+0KB+3g+dz7oN8fPuNOV5agjq2ypZsBnVoE+RT+F2 - 3QD99T+kxduu0R7LjC76UPrx3w7ucUfwe3fOUD12uwzsYe5PfmtEPZODAxhx6JNjyftkpB/B4Wmu - Ga52qyQZD+I65XexxeySbyPuxwcZ8tPDwErUfhGXt6urPvRoR9Y0jAOxwmOKCGo4XQZb05IuXSWD - OlghHU/omdS//DzeXzJ68Gse/fJ7eL7timwdqQqqg3sIYSlvL8Tfe4P1J9/4+cPrVnKRAKZVqHxJ - BR7FjEbjwT3gP/VJm/JfPq+aHVhHwcimuITW8BufezrLLLSSq3j/jjdSdqdqcOSIT/Xqz/q6k8/M - 4i8Hj9qt2DzI1rFfhXjMTxlM+QRb85AG3fEzlDDlU/ip50ckP0+9DO1nxtk6qI6JmKfvCrb6wSS2 - GRdWRxKv+c03sdudHfzyJ3j0Kia32Nha4+Qn0eT/6et1GKNR8dIU9ro1YDGLvUDsey9HJ71S6TLo - 7WDwNj7AKX9fiLtSm+CPn5/4gpjVaFmd9kL2r99KAqV2xLAkRQgzrm+YC0PVjtIuO+upm+9YoNVT - P+f9dGCqj+yoFq4llMjboErBCcPEaKPuqCAbJj4j7k+P15jv9Gn+ifUsTSTNm7zRhYg88utniHPP - j/p6OxvImndTynrQJHCefkk1x7EKJSxvM/AtahN3VdcFPUlrH54PNyUr+bFOhoucZAjSz4kOr8Mh - GWbHOP6Dx/mUP9SVsyh13+psZpdZi1hv5ivEWYd//dVoEYJc//QQPomuQeN73Ifa1D8m3nrbR63q - bgwEZfVmmHCGutmBpsuSSWeW4DEQ8mVnjqD3YoN//R/Oj+kR/fLPtRy+xPDzG00wJFO/KI2mPHtE - ZnZNmfcu7u248rCP3vcpX1NPn3YwDnUMs68+m/IhJrpTwh8w6WM2+duCX3dl+Ecf8++yE/R1r3PI - up0+5QNmIlbOsvv1G1iwOSx+/UJf//u3K+A///XXX//rt8Ogqu+P97QxoH8M/b//e6vAv+N7/G9J - kv/N5D87EWgXZ4+///k/mxD+/rZ19e3/d1+Xj0/39z9/LZQ/2w3+7us+fv+/5/81/dp//uu/AAAA - //8DAExnHhbjIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0e10f83a0e87-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:11:34 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '344' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - b276c32257732ffe4c684a28e900f21a - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nI was created"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file to determine what actions - to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains - the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file to determine the next - steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": - {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}, {"role": - "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next - instruction is to read the instructions_2.txt file. I should use the read_file - command to do this.\",\n \"reasoning\": \"The instructions_2.txt file - contains additional information that is necessary to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '5471' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA4SSQW/bMAyF7/sVBM9OEMNL0/m2ww5ZTxu6QzEPgSrTsRaJ8iQaTRrkvw+yk6VI - sPTKR/J9T+IeTY0l6laJdp2dLB4Wf7qH7/Vm5wpxX77lze4pPL3OvraPH+8xQ//8m7QcJ6bau86S - GM+YoQ6khGos87v7+azIZ5/mGTpfk8US151Miul8In149pNZMcsxwz6qNWG5xy5418lK/IY4Ypnn - izzD8/KzcLfIULwoey4Vxf0hQ916oyli+XOPjuJpcfCWsEQVo4miWBKmZyFOEfYVAwBUKK3v163E - Cks4Fo8CbSUVK3xsCZi2AoajhF4nLDARxEMgVYO09FaKq2IqW4HGWJrCEmLre1tDH2noTCOrpIH2 - zimu057ag7QmTivM3jIEUtGz4fUZ5D9GkKIpwxFUXZukKguGGx+cGnilVZKgmXR6orAbbEkoOMMj - 2ZAxCnVXHJ1VPCJM4MetHO+9R1XxBD6zsrtXuuq7RXQBpIMRo010I9USmGgAII59oDHtEpSDxlvr - Xwyvr+2U1n1QQnYHCZ+axmhDLHZ3mT92pDYnqxdj7e3ffPcqKhy3H7LTGR6nr66QlaPR+J/TBZsK - 68vjHYXUex6/RjlBDCBHnooPeMiwMWxiuxrPD0uM4jvM0HBNWyxnh1+HD38BAAD//wMA/Hf7rD0E - AAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0e1859ff0e87-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:11:55 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '19899' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '85977' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.681s - x-request-id: - - bf918edc6b187c6674844c12a530a87f - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Write the - task_id into the file output.txt Shutdown\"\"\"\n\n\nCONCISE SUMMARY: The text - is best summarized as"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '292' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOPWvDMBRF9/4KcWfZ2HU+Go0dWzK0WyklKNJLrMbWE9IzCQT/9xJo0/Vw7+Fc - ETwMXG/FjWmo1q/r/OxPm4/Lxr/57bkj2ry321Xv04tAg/ff5OT3UTse00ASOELDZbJCHqZdPS2b - rm3btcbIngYYHJNUXb2sZMp7rpquaaExFXskmCtS5jHJTvhEscAsFhr/6jtunzSExQ53snqcNVzP - wVGB+bxipPLnzDwQDGwpoYiNt3jHUSje6kMskicnIR6VsDrnIKSkJyW2nHbBqxCFlVWHMJCKdiSv - eJI0SS0XUTb62ziq0k/i+RxrzBqHEEPpd5ls4QiDIpygEaKnC0wzf80PPwAAAP//AwB6sgsgbgEA - AA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0ea56fbe0e87-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:12:00 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '2608' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89455' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 362ms - x-request-id: - - e259d501a74191db07fd355eaf220f71 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Write the task_id into the file output.txt Shutdown"], "model": - "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '130' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6WxOyurbl+/4Vq9YrvUvklrDfEFCRS4KgiF1dXYCIoMg1AXLq/Pcu/HadPufF - KjElyczMmGOMmf/4x19//d2kVZ6Nf//rr78/5TD+/b/WZ49kTP7+11//+x9//fXXX//x+/wfI/M6 - zR+P8lv8hv9+LL+PfP77X3/x//Xk/w/6119/F5tXSPeh9AFzeAYDmNX8SYIhE/uRiWkM7wYqqO5+ - 9858zdEAsF4Saj0dkwlL5JmwmMsNkiTNMyZdMgj4Jq2NQAWfbFZVhJTR/g7Ys8mjX3YtKGFGhRc2 - wL3s5yJGGti854AipMz9tJd6F8K9G9P0Ow49IXOUwSd/2xBOi01HJPwNAcMvj9SuXlLPkr2uw5dC - GgIFcHIme/+YYIB1kZ5255DNoms2kN2JjJ23d6yWz0aNoBrfNXw0QBcum+yWQOejDNSYb3JFRKrZ - 8HxRdggi03BEUz3bIH18D2SjsT4c+ucJQveiyUjU08SZbzlB4L5DW6y/+50jpPm9A6/ok2D9uI+q - qftaHZTqd0/Ddb2UNv0AH+0mJluZ7irxPk0+5MxXSS0cJwbNP/UA46sZUvNGMJjOCclk3Q01vGOB - bizSBkOwPWsT3XtHAibwYROUx6nF561RAdLARgMT7ws4SkwCFlOJE3As3Te+y8CsBOVbcABYRow2 - n7tm8NL23gFJ7WZq0Nu7Wuj1UytfNkAajY3vTLuUXcAoTgPWVNlIJ+htCCRf5Y3x5uGzJf5MAmT1 - ssOnY+k7M4CEwOFbQuxU8AkYncoEUsR1ZFnjMfPOx4Jp01Xk00IBMHEUdUgSMcOOVAiMETe9wK5G - R7rX9mk6x4kcK+cT/yZSDUG6vJ5+B86DfCFy9JaqxcK7BiY0k+k+iK/Vn/1498jCtuH26WxBJ1eU - u+xQh5uZw6IijGHBig4/9McQjplxESC6XgndBYMXLp0vT6AVDhg7p9POGD1NjMBbdBfEJ5sXYG7w - UoB/ozsy46FkHVMuFjiVtYtmPOhscq9KA8p0HkkjFV/Web1cKG262eDjY2ocsuTGpD5kzcE3ywVs - 7lRQwyUoAZF3ZwZYwGoTxv0R4EMY3nrR+vBvZdsdXkSBAqim08cv4ZqPSKWXIJyut7sN3YsuU43W - DZuqk+xDJZUEfKumDBA83HXoClaG91029zN73i6wS60O8QnaVGyWtVrxyyWnOKyLlO7g3G3UzfNA - pEd/6Udq1zZkZpej5d2/jLn1Zl0eppqQdgPuKfUECULj+Wioye3rcAFH4kJDfHsIvL1vP7n3b/bb - D+pVCzUan8t1CKxdjLXzeapI0JAGdlenJePyeYcz/hxiWfCcMzWLqaqWPFJymOGhRWSgOGTZ+arD - AT1sAnuLC/tXeU+gxe4v/KirOl2eHBfBXYt8JJxDHXTAmGNV0h4LIbde7Zmpni34FK4dNa3hWLHN - JpAg8i4JaU7xPp0HGzVQRfGO3qxB6JtLZXbw3bsWaSRtNMbUCUvo6c4Bm3TpGSt2GwvkL+dGuMd4 - YCxwOgRmLSww2pRmOE9ERYBk4pG6cLDZENFbB89MTenuPIisk/vHAh3Ef+g+OpXpdPrEBUy7DqHt - pqiM6XBhzQ+fiBS0g9OXSTDAg8E9kcQ4AqiUmAIMDA3RkN7e/fI0rAAgNQ/weh76yRhiBI/E8xB5 - eYMzjoczD4LEvOB9GDvOOn8bWN9YxJaAnXD5iEIHPdOeKcLK0RD6ieMATbQjjUdPZERtrByW/PZJ - rSE/Md79TBpc8QNrn+0xZDuJTtDeLjx1PdPrf+cJuoKdUXx6i+mwwHv0wyt63+taJdxOTaaIYWJg - HF5jMBxPmqWWA+/g/UEIwslXWgRtoz9jjxc0xoeCwMNwDCCRJAqcsYgPOljxhmzcK+pnpOqZ+t4f - MdXEpgZzt1ciCOgxRz2jXdUP0ukNIYs+iFXXQ89v3/wC66FUiRAxyIauFBbgaPyZJp8gSaep2k6w - lus9PrxF0xnn6kTgNXrniHb3Z9iF75kHR9nvkJBtD44g6EoCMd+d6a54js5AgSxA3hOO1ArbXSW8 - 8bLA2DIcbCf+DOYDGwNQZFlF3V7WKno1HR2eL9KOhvf33mHhkyl/6qM+wCWlO60uYH63DKyhuQDs - XUoSDFLjRRbmoWowzXxSTreS4mOy8QGzhXOuPHIAsMkbj3RBjjAB/qIgjA5tkQ77ZuQhTfQjdSc7 - cOjJdghQdHFPTSPVqqG8DhM8Xp0M78bdno3aUvtwa+jpn++i4Mm8sj8LEO+P0egsSxAHsHKhQaNs - ezCWfdQIkBu6Az7eSM5Gbg4GWGEJ0JQ7x+niZ2H3q59U+1zdSkz2tgZMSmOMGRj7qdXlN2DcfFnP - mwOWLRoluD+wJ9keo9FYunjKVey/DHzzVDWc1b0JwZCWAdpcD0lFP4qYwBVPEH9WUcp6Y2updk5G - Ut9MM5zjUjqA48lesLEvWoeqhNMhwfOGOm5bh1MQyR1UFqjSoyqUxjQVGlTxWNtI6G9hP28Nkskq - eE5kcgrECHK4BQazleLjfhiMmZPPCdQkQ0HcpnyHTO1PLrR2IYd3OE3T2QBuBhb5uyOty0RjURst - A7I4N1TL3kU/WbJNwIdLJjTXG9izQbMioGv+DVvXU8omcuv+nU8Gb02AEniVYJXAGIemJjHGvOAC - n2Js0ZV/VS2jlwH6HDuS2meWMZfDkyjCyy/+5Kcoo3sEtrPdYP3ZeimNpnhRNKIBMt/Ui8G8GtSQ - H+QXxrLLV0tefjg4WdYF67v9i9GjXC8KcDWC9/FJTKdij5UfXuDDpw6MRTbuyo9fUpfc/XR23CYG - fX4NEN2ofT9JanxRrrTB1L5NujN/ho0L2ufmSvd5wqomBNqg5pWjY1sVzs6chzKBQHJ8au/VspoH - FJcKzl83fDsT21nyXLbg9zsE1FeaORw4Ie6gZkOHJuv4Xz2H+Ps5YSwMJpjx61wr8HD6rHhTsLk9 - UUt5b/ER4+jgO3NwXxIlNWqLelnQOSwdPQVE3zml5lkl4W8+IHPGEBu6ZrDtjfRvKL8mjeL4NvTj - WW05IMQuwZn3ttJpAMEFRu18wHqhXMJtUZiDuuIbtnpPZyPXXjToStaRuve6Dnufnifg38lA7cQ/ - swZHiQ2D5HDBzma2KiFuxw4uQyUTapuLwdj5aIHQdl0altuekX6rCUDN4gg/r/U1nZVLJ4CXNKh0 - /3JsMFfxWMIGLTE1kVqx2W2kSVn3m560WXbIZ7ON4LFAMrXcmIL1/DagyHOETQskYIKeSNR7EtR4 - Vz3FcIpA4f7JN+n0jXvm6u/yx+9JekkyNgpPQYBTj01syHexJyeKBGDkRUq1Wdyni9fPBXgeA59w - bqIbMyxUHhJfyDECs1gtZ7+wITrdTBR8eyed4iPzoeVHM2riZGRU6myk4L5+YjwBIxUKcCrAnV3i - P3yaiOXmDdxIf2Pr0fMV2xzPHVzG+oZ3HL8P+agvBcCXSoWkV/ZKB/ABE8wo/8JpDrVqSZPj9IsH - mS76kU3wKiRw328VNG+XmZHbqcnByqf+1K/luMwIZMl0oGd+ycJFWCAE+Ps9UZP77IwhuRwCOLzf - Jn3aZuAwPeMk4AMer/HGbNgErwN0XEEhChc5gFR93wEHCR963F7acOWfHbQbOtD96dtWH02vCGj3 - 8IaD52mpFndTDQrfAYGeTN1x5uR21BWRf1r0oHRGL6z/94cv7oJhDOciPmiwF+8mTib+0c/NXLyh - LLKGQM8c+3bQMQSx5BhIfolWvyT6LlAjn17JtoNDuBy4N4F3D+cYPbJn2hb+MYLlftljN64n1u+g - 3IBl/2BkpjulX5RbVUvaYPhEPT95sOLNG7S8+abe/bUAVnGvSc3iJUVFcxWNuZxeNfjxBXOfXnty - Er0CjOeWUTe8tmC4v40O2Gw+0Z0FHDAfn8CE/m3c4evkheE8p4YGyUeRsaZY0b/5EipSBztf78yG - S+pBqHq3iu7wUILZ0zYRLM8LpW58EBxSHrMa3m4gxKcNkEPKy8VB7Wr3iFGLO6OrWBeBp+U9qOVK - dj9F7FWoL/Q+4OMFyWzl84V6TzFD0su5g/l43GhyGCGBWgt3T6eItQXczlaDb23Qp5P1OnRQSuod - xlFtM0EGoQXB9VBQXciLvle6doCJ/JSIMMm6I3QaH8NT+XZpXMBDz8zdQQPr/Ih0TapwTL5mDHhH - yKjuCnHImJdEkLvWGt4XvW80d/6kQzsYTIo4/eLMm/OT+5Mfnig4jkjMSwMZxy7UHJZdtazrVTKP - cEQub0a6MPtcQ+OYX3/+gSF+bCjA06siZLZAD+a3yS7goYNg1Vc7sM5PV4QSj0RNd5XD7v62hOOp - e+KDeD/3y6qn4E63bHpwznL/w2PVeDxV6rTcyWHjJdFAfco8mmQvkk7VaQ7geOx4jJ/i3E8LnzTA - 3R45FEvFkQn3K8vUzzfqCLFOST/H5WRCam1abPOfLmUXLJSQe9YcUurFruZuy0vwot9iil+W1E97 - 7cXJVbkZiJCYiInbuU0gg6xFsnnmQqLfBUspklxC2+tpYMRxbj7MxO0WbYpGBX/ive73n/rdej5P - YJRRjoAVzyfxZChg1cd0tyzfcPnGMfzD73/8ctWzCXR7c4NEbr9N2eW4EZSxJGfCHSTWj2kYIDW5 - pI9fPoVLop98gNuaR6O/SZx5PNwFWB+zElWK/AWsCUNdlel0ob6OG4MpJC+gGfcBaRiHQBXSOYD5 - 146pbT2WdEr9cwYLVnZE3alzP4zfwlIDZh/IHAxjuqz6GCZh7lOjvM7GYKs3Dcz365l6/nOTzqpn - NFB8JgOp+loEk/TJAqhmSYSmyvQNsgS+D4u52BD1YwjG6ud0QJobC8FeLvpZ0/sBepqTok1Ud4xw - 1p7Afn9+0XRbuOlMD/NF/fE3d/WHxlIqfPga+4L44u0ZDvI1UiB/4md6deMCLHtUWrCKNjo9KbbI - luksTXDVr+g+3x22fZkhD5rX9kRP5jkP2+TpDT99SH1v7tNpY5cxxHpBKNrOOpjR6JnwZD+/KP/m - VkioVyvKqhcoOsQxm91hrME7sG74IHdojXdUwvr53JJJx5ZDV70H5IB6+MhfGGCTqwh/+Mt5ePXO - 4oqjJq14Sj0HSelnFC7JTz/g68vpGLWFc6ZW3M7CrzVfJvcxX2CnHRHebY2KUXObZNC5KzrGq36a - tnDi4WtsC+wR/tYvWRRwPz5JD8I9cybzcrHA6mehdsV7vrb9RZUjUtHTbkY9A8lwgdv9JiT84zn3 - tNiJNjil5R7HwWlOSbIYAtSLBJM3Ug0msn3YKS84hNQndZiyxym/wFqoIKqnRumJIRxK6FTyDmMz - 9Cvm1JkJJ9PmEPscmnC64iSHZM922PTVGEy5pfgg2GkVvm6okE6DcTcVPtxO9HAOdcbukxRAzqxK - RE6tzQT66Tiw8iscfurKYbQYdeX25lIkHoZXPzntwCuFWjVEsGeOTQ+XHiDg7DM+PevBmbR+GmD2 - Eryff9bP2438hrVUfamzOXtsYEWRg1Vv/sn3Fo37A6D25vLTz2D0T48CrucFu+Q+hQtusA0/6UUj - fPNSjPki2Au8Xt6MxhtNTJfoETSwSrgYqcnO69kYH3i42Q0l3Vnp2WEotQ4wi6eU4h0r2FqvLsB8 - jSY+RVvNINLxMMBLej8hcDyKYNkM2QTDyBVw1t8/YCiuXgDtZhyoLnFTWmteb8FBywRs3FiVsi5U - CkhyfqHn1r8b3dm8vaH0/miE8dbEplU7wCtoZALHuwIWswt1uLenLTYvqANE9c0EBBuLIjaKl5S2 - Ymcq5xZm9OYTvp+mHmZABY+J6l+Fq7ppB5Kfvv3tdzofbzCBB968Yec7uhX1xTiDEi7eK7+rwoWz - PKJcyXdG3/0wOKze7HzlMyUZPpUHAKZcY28IImNEfPvCPZ3cRVCjzzzR014v+qk91DGAZ6xjtGiC - MV+IacLIHHp0Wfmt8H5OtvqL7+76MPvtz5/MXryHT3ap9PMkAAXeUqWl5h74KXi+Zgkm/aPCTtqT - /qO4gwWpvH/h1b9l84OWb6ijoKfodPKdsRnzAa58BXvoaad8JOYR2Om2TU/lzQiFenAsiNmHYXdX - duH8coNCfZ5DjE+9RdNFLXYL/GbNFo3oaYfsZDuDYvmXmYY6Fo2pW3gLxoIT093Kt9j367mwPj9e - RGyWqZq/22sM342zIYWltaAJma3Ln/vlSo3PNa3mA50yMExvguOi3xh//KdWMDHdf51nXwNHMhW7 - XWy8C9ylWrDkliCJUgvvuIvdL8dOKcGqh+nqHwC2fQ0aBEi7//Tgqseng3qp85rwq97/ozd/fmSx - 3DRjqaqB+8WH2rfNNqU764OggC1I8bW+hh1kjIMv+z1R3Nu7ajIGH8EiyyvsfqxT//Oj1ffszVhD - Wv5vPrD4lY/kY+kbfHE6L+r+ufWp4cz7cMXjAkYW2aGbut8wGk3+AqOctlSjB2QwKTjY8uGuKQTk - sOiHb3nzf/UO9UMuscH9TDoU+zRCqvItQ/pN7wRKaYUIvwdTOKz9EshQn2HUcrExrO+H8OH12AmS - I+M93crBe3Cuf+YjLndPkF/Xzvv5UcaKfxlc/UcEX+Kt+haCU8PnNfgg7ps34dzMTQ0zIDpELmuh - Yll7PqiT4L/+1LutY76ImmqvDbVWPtRfjiIP6+4VoG3cBs7c3t+FSiYY4b2Q02q5jr4Ou5tzoYf+ - xvr5mpwVCE1HQZu3/ElH8a0Rlbu+tZV/oZDcdq9Jffv2QE/Q3TkiijhXeZiSup6PKZ3j6FtAVNwd - ur+234pdLlYMt6lByGCWF0BWvwyIdnTG9vn5AYM+7XV4jd8nbG2KxZmCfIrUMWxzjCi994v43WUw - vX8nMn2uQzUVp/sCV32Bd7VPqpp6RIGwCS2smfhhrPwzgpJXyAi+rYvR6S9egJz+Eqk37y/GBB7q - AQ7L+46T7f5jTINxPqik2c7YXKrKWH76rkvtDkEzfFXLgdDoD79QVn9v+V6OB/iKvgkaZHffM1/0 - czWHiK16n0+nhz9B1WBvkUgnSXP4Xz1b+Qf6+eEMciwGsDlbq17rnT/6hIK9i80hqAH9JIoLKqwA - JPihl07LEHIwei5Hsk2Vig31AUlwgN8bUvmodobVT4LMbHIcTiIHBnvXwJ9fS763TZ3+8BmWxpRQ - 4/7+OILZhdpP72BTurzBcMVBDkudQqxf47PBlpdbyh46Uar58xYsgq7EoOEUH72XRUgnXqo5cPOU - C5nQrLFFBqkFayulaH6QK1vWfhncNc5CNrF4TGeuzTSQT65NFmFkbAkGqYCfJT5iG0S7UOxCpYRw - e/Hpw0FxyLSiDaBTgR3++VerX7H88B1riZ5VE3m2GbyYNwPNrS8bH0FcFPW3Pq16d4AICutUcDUL - AuLeDJl8CLrf+tA2lPZgmi1XUj5LckTF6u+xpTUQyFReID9+T7W4q2FV6DzZHqJbNa79HPDTS/rx - M4dM6nQXjOVwxqGuVaz59QPd7Z5D5YYe03lzvnHwLaMH+vUftvhzSKAmmiPdtf7dGeuXM0Cg2AAf - k6dgtMvRF9ShqmoEp24A7FWeY2h+hgQ70tmoJtSZkfr2rQHv9p3M/tT3XDMDbPi6wIjv5j749Q+U - Vc+L2/mVwPr8fJHN6X0LSfQIOpl9aIVt55H1y+VkcbB96hbe1RtYzS8zFKB+vSzY+xiCM/7Oz8p3 - iEiNgS2DhxOoRdyW6l1/ZSR6JA3s/QtHpDjx2BK62wnaz17BxsrfPl81M0GeHH0iMzkN2+8+EaDh - F0ccyNyHTUeT88Fc3GNCNnrb0+PIfHW71w5//Ew2NC6CQhU42N6rej8n1DHBy/rusRM7bTVmIDrA - DeP3q79zqeY0TBDsPOuKb7T6VtN7p7zV1b9Ei3bZ9Mz6wFo0X9TE9uNVgcmZ+wK6xBB//dx+u/a/ - QFp3Ejaa2qsmrVo0IPu0pMbKH+kG+5G6+kvojYczW/PTBz+8/vGvKXtXFvB4v8Uxyy8GW1oHQQdy - C1n1zM9PhbD9GtmvP+vwj2zIwBj2ORGTZ2QskDEIDbH20DjveacvDjsdrv4H9c7+ridq7JhwLlMD - nVtfdmh91HRVV+4etaulcEbzmb5h5g0c9vzpwGauvejq379bAf/5j7/++j+/GwZ188g/68WAMZ/H - f/7XVYF/Jo/knzwv/JMKf24ikCEp8r//9e9LCH+3fVO34/8dm3f+Hf7+11/bf183+HtsxuTz35// - Y33bf/7j/wEAAP//AwDnoBEa4yAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0eb7c9ce0e87-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:12:00 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '198' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 80a4469d300125c88220afe807df5245 - status: - code: 200 - message: OK -- request: - body: '{"input": "instructing to write the task_id into a file named output.txt - and then shutdown.", "model": "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '157' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaWxO6OrPm799PsWrdMm+JiKRZd8hJ5BQEDzg1NQWICArIIQGya3/3Kf3v2jNz - 4wVQQpJO9/P8Ov/xr7/++rtNqzwb//7nr7/f5TD+/T++1+7JmPz9z1//819//fXXX//x+/3/nszr - NL/fy6b4Pf67WTb3fP77n7/4/77yfx/656+/V725oV5tnPvZup446Y0g9MVLZbIxbPcA5/jxoMbh - 5iHm3mQX8euCp7Yuryr2uW0LSA6PA9F4bGqT08YL2nmrG5Hl3tWWA0leaO/rHb7bluRMOedI0Kub - G3Yyw+wZzy4v4E/8SD1FMFO+wtcBjm90pvqs92hamR8A17/sqZWGSzrzTVWiWfXvVI1CFa3txEuQ - DLsLtqRedxYJ8wAXneTUFWxZI9VcmKg/XlZ4tzm8tGmOViYM7HbC7iB+onl+HARo5/eV2jK+a4PT - 317o3tUr0jm5iTZXV8zRQT0/qasDjqZ4mSfoHjD5m0ecprN5ehWoDRwN44ey7uc8dVwpMcsUGxLL - 2ZShKIeRZyXFtf5O6SVcdLhUokP35kbQZvRBLlRbTvM7Vr+0Th1sETwfLGzjsOpnxwok5KzME/YP - eRMxTVNeMO3qjOqSDek8PMoX1LnFcILmN2LD+6SCH5Yidoa0c5Za00MUNzGP43rca+tbkwsomjnV - X4LbWlsS7pTBzg5zsllwHS3vgyehZgwSetz7Ts/WaZFBk6uNz5ST1zNc5hIU/kyxPy4Nm6vrp4O0 - f+bYUmfPmdk0cnAooxTvo1uGpsjAJjRD6ZF1aV6iiefmEyoOr4S651xwll0VCNAvmon3kv9irJ2b - FkoIJrrLedWZLafUkX48b+jOPUE6V6eW30qNONDDw2kYu+JtAIN2TwibSxQRrT6E0KBJoeo2kNFy - 53QdPvhCqbWILZoo3AKonKLCt01xYNMGFTbw55dE1fTTsGUbygsyH72NNeelpMuedBwqYsEj41Gp - +3lssw69s+VN9dp9pIM72zy009rGjv6YtMEXeB0M5+T724pMGt0psYVW+0zFmbHhHHLTL5ac36YB - B/VlFwmpmAhwCtsDVWn67Kf9ZnSlraMN2Pwwq1+TR+Ki6Dxq2PykqrZOXhcV1b3kYnPmumiCuBYg - s8qO7upVxZhdblp4iJaJbw9nz8b3PZTg8WkLvOfkKZ0T3A5QOWXlz5ePEvHDqswAr88JtWPFQ5NH - VHVl4UykKu4+0SzmMYFVr2+w/cgqNu3fE/nFC8VeVWgtnIkC8T6TqMkNp4hxy10HLpUDf1JVBbFT - pOYIdbs9dcXHLprN63iBK1+6eE8Jh8YYz7osdue3/5zajC3GW5TQgJecoCJzqilZdz6QdVr5nH27 - aCwszRKOIdcQoSPXiJ1jRGBlxxO+eHndT7tPGMrWsU++4yvSeZ0/dVktdpQaSyD0S67JMaRmjKmX - m1dtcYnqwstJrv42My9oulERwMK5SHFPVhV1LYVAJoBNpGkUojE73ziIz1yBjTy8VfPzOMUIicXo - VxFVNebvpxOq5quE3aDaR0y3tgKy/fJGcdd4FZtfLITkTSzqhXuxIujALnKVcRuyuqwjRORDCXCM - CE/GdWFHkxgYFlx7DxH5SYJ+pr2ho8urjbGhHiQ2nrybCtsm6Ol5LQbOsvZO4i8+/JWQtGiRzc4G - Vt88uveQgaaIheX2ect87M7NCbHrc1zAwWKDTekwaBPTmYpOvHmnmnxg0Wzcaw5amqypYcynaCml - rgROdDH1FraqfvkObQ3+ivd2NERUT8gJbpuwpRrPHfv5/nR50G3iUXcqSjStwpMA7mNK6dGRN9q8 - M2/11riX1N9G8dDTK54D+coXrv9s76m2THAwYZeSBeuLI7M5iHoFXq40U18qZjR9VESQjcOaHjJT - QEOFHwPcr+2RXiRx0088t72AmBoLtmP36MyP0Jpg4MDB6mR76bqZN4JUc7xE/bF+Vb3wvBEEZmDS - S3ld0tE92gC7dFj8OXXbnoYPj6C1dS+pd2oLjbFXKYLUSIMPrqumG7GxOdiYi0C9z3aJ6BVvQxhz - yaD2sN1WE4VjCK9nxOPdg06I3cIPgbv9MajaZJU2lfMUylvz9aL5O1URyWiQANGOFpFO8SlaaLQK - EFV8H7trrXfmbaNOEFavlvq3tulplus+FL5WYk3frNFwtSmHolCxcPRdjyFdngkI27nDNli9syii - acE8xzb1342psVmgi3SPk5y6WWmw+VkNIgRrOcW27vPaeA9vFjjh+oL1ojS0teccLtI3H+L9jTyd - KRw/IezVilF9ce5snDsgwH2GD9Z4TWVUeB4JKrOTQOOctFX/G/+Hhh+q6zczEpqNwiF1FT2xxuPa - YVu6VpDedXtsGPK1H4xKCeRbqn0IfxZSxuqeS0CWCsAn6Cs2vz/GBOEx2ZPNWdIjdntdfLjfrB7r - d5MgMu95RU62N80PnegVffOPCc1Oy37fr40rmplwmBSeenI/aIu4tyUoV6ue8HFlVutfPrleK4Uw - KiqISR+UILbuFTIJoqWxcfYlcKniY73ddtrMre8EkYlL8W/9SWrjGL75Al8a847YDms88JfzHvuX - mK+mkt/qkvi2A3pAJ7NqiRpy8F0Pv3dQ/a2HnYloYVv4EMVuNS1bxZS5D/lg1fKjdLiOSgHbmBl4 - h29jxPbXswXx2vIINye7tP/mJ7i1TCXybj5rS2xfF+lchTb1SLCJGNxF65e/fCFxg4o+EqaC53OW - 32uwr5Yzsy/wiydDF4xK6IzhAkF4qrEDs1ctbz4upWYME7LNV3rPEzXhoHwcX9i23jeNZamToCUU - 8q++cxAh27iDoJok6srqoSfjKgnQ+TS9qDkve2cJVTNHP/2kXteORgE9CngmfoqVFRf3v/8DoeaB - 2sGUMLb6JC3KnaOJr06Sp/PSMBFeDyOkWedwFakVJ4enZJ1pImNZY/G5LLfbush9NjVuP8fuFP7q - vy/m5TtithEHqAvRA5vP1kSzbu5cdL6ttlQhY50yVIjcL99Sw1BbxlzLGtDyChdfTMMw4uuDN0Bd - XM9E+KSlMy9CU6NXUTXYUTZCP7LnEsDlIq6wWV7DSKj9lQW+Pj+wxT0UtOzlvEPN47mj+Ex2jG3S - QAfx846pXpA2Ig6vCdDzMu/Pm/M+4nWJS2A/ydFvftkG7qItLaF+pNHaPjHq76cLZGO/xd6z9NL5 - +iIJmozoSvgtHvtBqZ6q3OXZhSq2p1bzO0l0hCNkfvOd4iz2xu1AiM8X6hz8tJ/dcpUh5VNfsaZb - XUqiLg7lZYMLvN+M94iJjQ1w1i4B4TxTQXOeat/8xKi/6VZRNErLugNthUqMy6DtJ79VYri9hZO/ - Psdu+tWfueS8tQ1pmH3WlpAlA4TnvYrNy2ujLaCIElCmC9heB1w/zo8dD8922P3yRTV99w9y8sTz - txwoziZxWx0K+9IQ8UI7bRxuBQCe2wf++YW5SCQBwvV8wMZxWtjcFNoFCC1Mv9g0Ud/vlMCS5faU - 4syK3xU5c7ILXJcLBH3jn1nHtETxtjmTwYtOaeduZV2iOFewb98EjV3xHKL+wb9osB9SbTluTye4 - vLqYau7eYst3PdExhIYe0eCmrLqnpqQkp5cvZfQW0aZkgBylXVOjYDvtp3+kMhEyug+7OVpks7RR - muxtqp3fKzTq5sGH4Pi64VMQv9hETjgToxcnUE/CZzT388NEetB0ZD2f92h9vmgmVBlssKKqBZuF - tAhQ67knfKxXFWL+7cVDYig7f7q4T60b1cgCBF5LRDhz1fgIlUUuIZzI2ts1EbP8hMDFSm8Yc2+7 - n492W6N3psa/9a6687QrEIe2tr/NQslZdkWsStFe7rA9PSNnCVilg+llH+rPyTOdhS4CmYkNIdvW - WEfTtA1yoBo6+HK7KOkS248J2cGAqF+ZebUY70mUDqR++Py6OTkTwjBBMxQevmraNpo9yyokpRVs - rOvvQz8Pt5aDw7Pysbp/NP1wNK4ZSMOVp9r9laczzsYc7gdJpHspaTX6LIYQ1Vl7w97WqhjhlLYE - N3pcyae5fHo2XIoLPNBm99XLijNxcZ7BuLNGHx18VH39sAjJ4X7Axr0iWm+dsovkPC9A/bo8oXm7 - FjLgUqxhjA58upynQwnezM/YeQVWJNhtAOAd7Y7u2NPu+8D7vEBLi4IepmDjLPfDRoGWxmv62Ccr - rUNxo6KLwG+xNjDMptlbZyjae3e6gwZF00p72nKkhxTrHz5G5KkMPkRaUVLX28/OOAkrDmofKf6y - 7220NpLakgbda6jdsJYRkx9qdKrPui++FOjHo13U6FONC/WSXK4Wi898MMekItA5eT9n5xtIH20W - yfpz+aRLpZ1aKdBMRriNjnrazk0Hd/EU40MQpVX/SJgCj09XkKVAKVrcVqnllnQt3TlzhP741cq/ - H6nyCOd+MaTa//kVrD0Vvp8S+/FCOHAdrGnvHVtDvcTy6bo/+tz5qPZff0RgVt07zoKqSeehv+co - XosJ1uOrFi3z1grAMfYydZ/H+b/uH5+556/tYsUWf9wKW+dhJz7Z6KhielKf0LMlO6yJde8MnNu/ - EC7jgbyg15DwwvsSuqkT8W4wTv0oTp4P1X3UqbutWTT6EYvRXa7Gb/zvIkZ6L0Ti4ZNjR+/Z1/93 - NRx3ZeSjoyd913ulouWtrsisJT5q47VUA2UbjepGEUfz+vkRUdErBPvLk6Xf9bYQyI1AWhwxNMGZ - qD99TM9n96ONho8CiHuDkhmJuJ+l3LpAcNGe9PDdr9/9PcBH03q/czrbmbE3T/LPT1urhPbMPjnc - Ntjc118/EUXzyQ5csFXvTK2XkvW/egnSnluolZO2Z9vcKuEmyZU/XfcYDWi3M0Ehuwd1Y2mIps0N - vySzbLaEU5Nrz9pMOgFeXxN/RTSNLQu3LVGoik96ih3FYUF2DyDptnfCK3Lw1RN+jnAAMdW9PnHq - CPQFtHHc0ctlkqJ+b7QteiMupIcgQtV00bkB7YOj64uN4VWbzejWaHkrqz88ZwiEfoC8lz2axscD - Wk6CYwFZ3yqKE6NG88k7KjLslQi77fnpjN96KX3ni4iLaLHJqJTw58cJtzyjaDaS2obGEUyykmaP - jeElyiD7+DNWV7KVTq10qIE7KCW9NKaMqJ+9OyTq2YHaaDYQjS5OCApSehxtnzf240Oy4vAcHjP2 - RAuE7/hXz7Epidf+x1PAKB45VgSxdSbefgV//NZXz6BlXCXhz99RIw+3/UjKSJG++pDIt6vTr9EA - KpAgONGgVRCi1jEtQLgZFXUNa+l/fhKS7LbBJ3goVX1dZg5YlD388esfF14veTA4V6BJALkzyNq2 - gJxDyK9++VZR2gvsOnhjS30f2OKvyAmS7hBgfzkM7KvvJChiXcFKFDFneWFcot2hOOL84h7TyVIe - FwllESHs63+6fd/Z0LF3/fUDPhO+9QFeSWvjkzv16bI6hDV8eajPu5MTkWpudYhYllHlpHJskrVt - CZvb+MJq/Pr6TbmyQL6Ie4rN/efLm1wd5E3tU4dtFI2tPmELsdA21FoKNZr57nVBk8Jjet2MckS3 - A7iwO5RHrO77js235iKAcS8oNuRTHS3+JHXQnzWJas1WTfkQThwqSXX16/IapotWKRlU3RCQVZn1 - 6Fc/gT/XEj2IacxYVWUD8jhJxcbhfdTo1PEisrju7U+bhvWse3QTCEbc4iT6tH17NK75H7/+05cD - 05ECBaEffxIGHU0HPlMgMSafRj/euwozQTrf5C1Zvwll8+YVXuC3P6dS6p3Zu8kqik+5+Uef0f31 - bEuGa6a+572CdLzj+ITUxAppLohiuritVSNrlSxEnuRSm6VcucCXR/qTY80pi5urCt3Uin6jnjzG - mHCNt+otMfxxXXTRct5xphTfPinhvn52FPNgkBRH4PCOz7b99NkoE6TC5fDVe3etvdGJk+XxOVFn - SG3nq09eP36MVT0RqvlwOlloOj1tau56J+W3tlNCoFgGdfgFO+tvvUD+43XA3ufpoHnvdxK8H2NE - /c720+13v6DYJKPP303CBmlvD/BCpyP+8tvoj57t/Tig+nE/pUQZ0gDWV3r25+pqp/yvXgWazqhK - G51ttNNah0cXj3ivWnY1Bc2kyMPS7/314TaiZTRSkD5hlBM+cHfVlNPYRcddEdEHd2ui2S8bHTkr - /UTPH7t2Zs/ZneRVLF6oq++KauaqpwtTGVZkGcroxw9ASq5AqdFyJZuzxs/Fwj41OK9LntH3Ke4g - 2wzXH++ppkiILqjoVfKdj57N7yQ0AZxHig3ZqpylkCQJSIVVauXlOx3OW2dCfu0xsh63x2qSlYnI - mUdXZDLfB4c2JyWUnfduQ1bf758Om0wALS0LqmJh6Pu84FvpeqpD6m03NBoO/EmFjUCmL1+/OEPQ - iQIyhqnEmNprNG4EX4Dbp8L4T37e3y8vCe49+Nv9fKr4EDIOnOcJiOC/42r46iOAhiRE/PYXxmf9 - JmDkAXz1esum1pJP0u2t7wm4yGMsL6CFsT4Cec9PR5st6xOgD1dkhLsHO21xVhxBEGcNNteJUv14 - uuTv9Be+PFuTzXgv2nCuVwb2j5+Dtm7f/EtixmhSZ9K0ip8MJ0a74ICwlThFtPSrroXPXThj/avv - 6S18ElmXX2u//fL+eSrtDg7KZk/kuxSxn5+EzCo6+qhXvCO4/S6Rv/0Ef3HlHFFxLbTQZtmeHh5X - RxvvT52XU2mn+zMfCNGXHxao51c8tdG77GfDkXJ4E3/rr2+KgYi1uatwOtkV1T7XbTW+P94ExrCU - VDt723S6ca8Wtmb9InMR3tIp6ERe+uVP/+Ieo8lnLIB+KoZvfHf9a+u5F/Td31iPq7qiPclzdLqu - c3+9Prz6ifqeAIy3aryLdiZi5fUjoFptwL99+ciy4eIFroe5+dYzC335oQrqcGHY3G1INSpu6v/0 - NFn71jYak+fZh6f7UKl9PZbaTG9xDdlVCfD1669mz1JK2V8VGtlp9aJ9+x8tsmViEgmHVTVr99UF - vvmE8PrtxwcmTu4fwssX+yzshx8fe0+3FHu5uXF+fgV+fN/qzkr/px/w5UH++IvnpyQRKGQ5o/qY - Len89WdSW15fPuKTtiKnrcZB90wNf5F1qSfW5qxCtBD88w9/eIFc+Y8j4YzO7ukmDyQ5bp0dtrpn - hcYPqVt4opb++KPD8oLvAOS3QFZdaqeCqTwKxK9LHut8UTqz7dwIOhmdjL9+o2LjbEpw1B87uusv - LWJ765nD1tkN2Lwdn+jLDyX07WfRn/4lobEPoFMG7svjL9USjTcTvvNDZKWrnKWRDhN8/b7ff/sp - 07mLdehVw8WmF2rResg+C2iPVUvtGGXV18/mqAnvE7avdyOad4ckATVvEqzF64Wxs20pYCmeiS2t - iKtZeu5smTJToP5XP87DreBkQkuT3PDEvn48uwCZhxZrQXd0JhkPMWrCx+RXBoaI9KuyhWMxKFRZ - aQe2hNNNgqHIazI30tK33/7Ir35R9xNgNj3Wuxz8F71hw/Ps6ve+X/yR06c99/Tr7yHntgj73tpN - 1+fnmgNVMl0ii6D0s0yHDLErav4rvndKYMseJ6o/PZxOv/pshbfGX771YViZT07++fUfn2fmPZ9A - cRvHl9rLHH1ex1ZB27NuY9w411So/Y2N1h8kELk+imgMb6cQfe66hZMYQU/Vg+0DMT0B77SEMKb5 - LIf9kdU+V5l5P9x1r4bIGje+YDxabTlzsg80TCj1ZWgdcuhvEzBVdajxsU3tD7/68QCHT6x+/H7P - n/5KmSmeswh6koM1ZDrOcwezHw9CY9ns/M2CzejbT83kn1/87Y9pAUuC95SmWEFpkE7x7l1A3gYh - vj5iFFHH2ZVgLJ+VX1zcnbbclk8NzsNK8Pn4whXbuZoii58m9qX9foc291itId2YF2zTpYkoLnMR - uINa4sPD2aN1En4KVHY6xkdbeGuDR2wFnOJF6a3jNGds7nb5p59ni6KoTafpOMDdezOse48Lm+7L - UYFf/Txvh4HRH7/8jX+IyUdbbmLl/vrTdP9wRWfqYFF+/Tuq6ZYdzdfzQmAyjlcfsotaTfe9mcCP - D/7hHdf1MsHlHb99dn4/0Pjrx3alE5KJ25gVVczbBKerccRaKmmMDe1JkP/+nQr4z3/99df/+p0w - qNt7/v4eDBjzefz3fx8V+HdyT/7N88K/qfDnJAIZkiL/+5//OoTw96dv68/4v8f2lTfD3//8tYY/ - xw3+Htsxef+/1//1fdt//uv/AAAA//8DAJR+VSXjIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0ebb6e6c0e87-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:12:01 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '93' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - d89231f4f1f1f2564d1e61aa629b1e87 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nI was created"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file to determine what actions - to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains - the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file to determine the next - steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": - {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}, {"role": - "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next - instruction is to read the instructions_2.txt file. I should use the read_file - command to do this.\",\n \"reasoning\": \"The instructions_2.txt file - contains additional information that is necessary to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"The next instruction is to read the instructions_3.txt file. I should use - the read_file command to do this.\",\n \"reasoning\": \"The instructions_3.txt - file contains additional information that is necessary to determine the next - steps.\",\n \"plan\": \"- Use the read_file command to read the instructions_3.txt - file\\n- Analyze the instructions to determine the next steps\",\n \"criticism\": - \"I need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_3.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_3.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Write the task_id into the file output.txt\nShutdown"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '6533' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA5STQW/bMAyF7/sVBM9OENdN0/laDEOww4C1u2weAkWmYy22KEj0mi3Ifx8kJ0ub - oeh2JcXH7z3TezQ1lqhbJbp33WTxYeHfF9f3+cc7I/pTJ/dz99h8eSd3i18FZsjr76TlODHV3LuO - xLDFDLUnJVRjmd/czmdFnl9dZdhzTR2WuHEyKabziQx+zZNZMcsxwyGoDWG5R+e5d7IS3pINWObF - 7TzDs/i58TbPUFhUdy7NFzeHDHXLRlPA8useewonYc8dYYkqBBNEWYmYbIVstLCvLABAhdLysGkl - VFjCsXhs0E5iscKHlsDSTsDYIH7QEQtMAGF49EYIpCUQFbYrU4OxwqnQmI6AB3GDTGUnU1hCaHno - ahjCOJKGV8Kr9FRz3ytbR9U6KpgwrTB7SuRJBbbGbs5Yf7YGML1jH32CsQ37XiVMaZWAJaoT7pog - qB9UQ8MemkEGT+CpIU9W0xQeXoSKblsC5Zxn542SZ7zJECfpBP6U4NKE65Qd+Sfw+bUg/j3eiy3a - GzHahH5ctUwRREWyIZpOsSxB9TAEYzdJUbP3pCUpW9UTJIj4UJ4nHamELCitB6+Eup+XJoMjtT2t - fjRd9/o3/49LqnDcdchOR3zU+euGo40R49neC1rlN5fnPzZOSYwSL4R9+bdcFfn1iTBRHmEre8BD - ho2xJrSr8ZaxxCDsMENja9phOTt8O7z5DQAA//8DAM1HwReYBAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0ec52c770e87-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:12:38 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '35172' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '85965' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.69s - x-request-id: - - 4deceb10a720ed511946892120663449 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You - are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file - using the read_file method and follow the instructions in the file.\nYour decisions - must always be made independently without seeking user assistance. Play to your - strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. - Use the command read_file to read the instructions_1.txt file\n2. Follow the - instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word - limit for short term memory. Your short term memory is short, so immediately - save important information to files.\n2. If you are unsure how you previously - did something or want to recall past events, thinking about similar events will - help you remember.\n3. No user assistance\n4. Exclusively use the commands listed - below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: - \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, - args: \"filename\": \"\"\n3. list_files: List Files in Directory, - args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": - \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", - \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. - get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: - Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. - list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT - Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: - Start GPT Agent, args: \"name\": \"\", \"task\": \"\", - \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: - \"reason\": \"\"\n\nResources:\n1. Internet access for searches and - information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered - Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. - Continuously review and analyze your actions to ensure you are performing to - the best of your abilities.\n2. Constructively self-criticize your big-picture - behavior constantly.\n3. Reflect on past decisions and strategies to refine - your approach.\n4. Every command has a cost, so be smart and efficient. Aim - to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou - should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": - {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": - \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": - \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say - to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": - {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response - can be parsed by Python json.loads"}, {"role": "system", "content": "The current - time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This - reminds you of these events from your past: \nI was created"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"I should start by reading the instructions_1.txt file to determine what actions - to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains - the necessary information to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will start by reading the instructions_1.txt file to determine the next - steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": - {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, - {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead - the file instructions_2.txt"}, {"role": "user", "content": "Determine which - next command to use, and respond using the format specified above:"}, {"role": - "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next - instruction is to read the instructions_2.txt file. I should use the read_file - command to do this.\",\n \"reasoning\": \"The instructions_2.txt file - contains additional information that is necessary to determine the next steps.\",\n \"plan\": - \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze - the instructions to determine the next steps\",\n \"criticism\": \"I - need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", - "content": "Determine which next command to use, and respond using the format - specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": - \"The next instruction is to read the instructions_3.txt file. I should use - the read_file command to do this.\",\n \"reasoning\": \"The instructions_3.txt - file contains additional information that is necessary to determine the next - steps.\",\n \"plan\": \"- Use the read_file command to read the instructions_3.txt - file\\n- Analyze the instructions to determine the next steps\",\n \"criticism\": - \"I need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": - \"I will use the read_file command to read the instructions_3.txt file.\"\n },\n \"command\": - {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": - \"instructions_3.txt\"\n }\n }\n}"}, {"role": "system", "content": - "Command read_file returned: Write the task_id into the file output.txt\nShutdown"}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": - {\n \"text\": \"The next instruction is to write the task_id into the - file output.txt. I should use the write_to_file command to do this.\",\n \"reasoning\": - \"The task_id is important information that needs to be saved for future reference. - The write_to_file command is the appropriate command to use to save this information.\",\n \"plan\": - \"- Use the write_to_file command to write the task_id into the file output.txt\",\n \"criticism\": - \"I need to ensure that I am using the correct filename and that the task_id - is written accurately.\",\n \"speak\": \"I will use the write_to_file - command to write the task_id into the file output.txt.\"\n },\n \"command\": - {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": - \"output.txt\",\n \"text\": \"2314\"\n }\n }\n}"}, {"role": - "system", "content": "Command write_to_file returned: File written to successfully."}, - {"role": "user", "content": "Determine which next command to use, and respond - using the format specified above:"}], "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '7667' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA5ySwW7bMAyG73sKgmclcJalyXxL0UuwU7cVKDYXgSIzthpZMkR6aRH43QfHTpNl - wwbsSorf90viAW2OKZpSi6lqN5p/msfm4Xb2OdnfJY8fc9bfbu+Xy7v75jE+o8KweSYjw8TYhKp2 - JDZ4VGgiaaEc08nNYpZMJ5Ob9wqrkJPDFItaRtPxbCRN3IRRMk0mqLBhXRCmB6xjqGpZS9iR5w4w - WSg8w8+ND4lCCaLduTSfLVqFpgzWEGP6/YAV8QkcgyNMUTNbFu2lixm8kO+ucMg8AECGUoamKIUz - TGEoDg16ka6Y4deSIoGOBD7AtolSUgTrWWJjuogM1oOUBFvriMewAi5D43LgshHIw77v8isLVeMM - 1aUmkubgrS961xfrDXXH/25UF8STbUNn4bWldtr3ghE88FEAonm3Hh6awISq0j4HCX+MfcUz0Yo1 - lqseugJPdJwlz03s+FpgBaX+cSQfFTlo58CT6b4ovh79DBvahtgnF+uLfz0X16R3J+neOgfN/1xn - nGFPbdVpEYaJ3/bA64p64S+Gq1w6FtcrdPm/PWDp3HDrtzd5C3IMM2TKfIutwq31lst1T8AUWUKN - Cq3P6QXTpH1q3/0EAAD//wMA01DJjcMDAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf0fbacd3c0e87-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:13:01 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '18813' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '85954' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 2.697s - x-request-id: - - dc2b7bf8c23ae0ae192ddd1aec0cfcce - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"2314\"\"\"\n\n\nCONCISE - SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": - 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '245' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOzUrDQBRG9z5F+NaTkmn6k87WIojoSkWwUiaT22Y0mRtmbqRQ8u5S0Lo9cA7n - DN/AwLVWXD90+fphne6+N9vX09vjve2K7Xxzq9vmuTo+vVRQ4PqTnPwaM8f90JF4DlBwkaxQA6NX - 1bIota5KhZ4b6mBwHCQvZ8tcxlhzXpSFhsKY7JFgzhgi94Pshb8oJJhypfCfvmJdKAiL7a5ksZoU - XMveUYJ5P6On9NeM3BEMbEo+iQ1yOeQgFC73NksUPaWMD9mBx5iFsa8pJpXtMC/1YocZJoWDDz61 - +0g2cYBBEh6g4ENDJ5hi+phufgAAAP//AwBfxEKlQQEAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf1041c95b0e87-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:13:05 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '1459' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89467' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 354ms - x-request-id: - - fe47594a98343f9b1fdd96e8f24e6452 - status: - code: 200 - message: OK -- request: - body: '{"input": ["2314"], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '83' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZkUEoWXdISAgYIuAiJPJBBQRBJFDC3Rnf/cJ/lf27H1D - wiFA2qe/09P/+Mdff/3dZlV+H//+119/1+Uw/v2/1muPdEz//tdf//sff/3111//8Tv+jyfzJssf - j/JT/B7/3Sw/j3z++19/8f915f8/9K+//lYvkklkzb5UzFTOCbzqRUaTWKrBdHHrHTTpktHDuaBg - DqJvDNNqBuhl3zt9KWvcgsEcFWpfm4fbJU/JBK39ivFxHopqkV1Xhjz091g9H47Z0ge3HKKvoWJv - c9H6PCkkAYLv00Obb3HMaCCFLRTQ+UVP9IgqXscSgvR1/5KvUD1D0t6GAHLWNqD68nT6Ob1AGTYt - D6jjRFw/VfvYgNhBAhH8qGCTGlet3MXSHW0un7dOjGGKlcjcaFijVVi158M3kTdmqdA9+Oq60MTH - Fu6+nI+Uqthm37epcgo9m1ck5V2qkzILIPT65o348gbcIdt0pnSExMTO6017JtxTGTZJVOFTf+j7 - 5UDOOTSWzKTOo/CqubY6E/SXj0XuT9HSRfl6fMOwBVuMUrRn8+EVqoqcujrhU9fvx1sUTjBmAabO - eKwZwcxq4aWZK3o4oDJjjn6BMLSzB3ZGQdGHs1k6cDcAhk1PuegL/kg8uKudhPGNOvqi6D6B3Rsd - 8D46VBlxBFGAgVno9IFHvprU2PXBJc7O1LoqBCwbk0VwnAuNqtNLz6bM2XDQIrlJT/LyYXNvhhNU - ee9JSmB/AbGXKIcXPk6wWvAffaplF0GplS2sX0+JPsz9lMLL2/Ao0jgf9NPDFqBxTmLElmqsZuLE - E9SDd03xOl8L795yWHg+ojhNn4C2k7jAU+djqm18ytg6flIFZxk7I+4ykr7vOXyndI/NFnJg8o2i - VXyXctT6DF4v7JmWwu/FsbGB3gkgTdxpsvPwcuzsn69wOoQhD4t7mWJL9SijrpET4MvnCm3G0gFz - ecomGbaOSLiA+i57zfUA05fxJjCbtWp7KpsGWvMM0cw75569ml0g4TbQsS58/J6ZNtrBxT/tsfa5 - eW4r1/4CB5MqSJ7PPZgXkBD5uDlfsWdTmM36Y0phmHy/SAxFJ5xlZVSBxt8CFC0an01zv0vhOJca - tYGdVUt7G3x41csMe1Gy7ZfhEg7wqeoUTcOjyIZ58Bf4PKEzxVs+CVnXnSK4GySGdY7d+qkTWLqJ - DdJRlEdmNg8m78BbRDns8txDZ2MV7KD9FG0iJMUXzIKoOopyPH7I0WFxyMBNN6QkgB32NuHLZV13 - iKH/lc6IlyqrX7I35EH02Sz4V79TJbRvGBvChHZPy89IUNo2vFScSQ+n5MtetfmNoQdNSLF0qvsl - 6T8BZE9HXOv9oVPaXGzoi3cTB8BxM1JHtgM/17TAlvjo2Rj7yQSPyP/QvRHX/aLCeAAOd7DxsTut - 9W1lA1QFIKAb8pt+Opud86f+7ox0jHhkCGBjew/qvNqgnxtbu8NWNAA9HMCtmsRey+HC+Sd6JFch - IyseymInh6h4c6SfwuM7hcc8Halqgz1jn/cXwVr+ttj5Lqk+bMpvBB6chqilepjxlqsGEA3uF8UF - 4UPmHp53cBqtASnXwAFf4uQLOFskQCx9V2wOIpuD6znZfHMLvF8ctKHDYUTAXj32Az5BDiApD0jF - OYeQseoUQeVjEOypdcTGIiJvQBZgIJ0T79X8PrQN5BIrx6cr+rBlSkUBqk2WU5XvOzYWFxoD94k5 - sp1rzv12xtLCU+ocKX4BphP8ud3h9+Ij+qDWSR/fPpfIY9UAaka5HdbRtW/AwfcsGgrfRZ/9+70A - D0W28WF934oXHhyidIfmnS/oLJ1SB14jlRFhH8ghtTfpDlwaVpF4H6TZvN1AE0gZ9n7rSZ/NMpug - 2txy6tQdr9NvO6z88abY2WZhxpaiz0F9DBqyPfoVmK8PiwAS2AU1xV1RjW5hDHAKaE3tpin1gZ/5 - nTQVfkrtD47DQflCG/QHg+JTr3cuayrblHXNPOGVP9yJUZbCx7ho9HC+D2BMwkyDcV1HeB/pLzak - xw2S3k5Myc5yWn3yIkuDQibERL74aiUizmig82gmuvdKUn10vS/BOYknIo/uJ5wl6MoQXpcazR9e - BSwfjg1sY3QmLyMy9HknOwkUUPjCh2NQZ+P3hDy5vzz22Ir2gc6O+/sdeJnh4XMiPPpl68lvWI6P - mTR+UrEWzJ9YPnVlhvFtbKvx0OMBAjuKsf3c94B23wFCXr3x2HDuARPqi7qDpfexsG4VGViay8uH - Njbf1ARc7dIQPmTAnjcdR2fFdAfX2uXyijdUA06fTQNt3z98o0bQArbM56qEWXAtkCJPZkZd+dhA - XUMh1kR672empB6EVnCi1jMv3bnTpR3oG1yjeeVv8SoMSP7NF97vmmw+h7YHz5aQ4PU8XCT72MLg - k45o8Q5JyB7biww/n27AqCknNq71D2yl1DH+5hbjW/5WQgFuV/6+Hys2f58JKDu5wOrtss2G5AA9 - uLsNBj1dwdNltLk4kCejh7aX9sJmL05UYJFIJRJCtf6JIOeDsdpaZIOckC0/vLPI3cR219V6cdkn - PKy7o49+fDqCDXIk9I08ejiIcT8fP88CADuOCeu1NJxSpX0DpkQOPQZB6zZ9GHjwW7fFem7r80be - vuWd4m4IzLZ1P/Mci2H3jl2Mg+AGaPlJWjAvoUydHV9U7LwDAfzsbj41i0PhsoeQt/AkyyPZrPxL - TtTrgAAbmYjZXa2E/FmVyr7GmLrnJKuWkMQEPDg7QhwZdlk7zp0J36lord+TABH9bQO+grZQi12t - bPiNL3/iS4wl9+12zeuZQ6bEDkXo07nzyNk2VL79hjyunhkuzet5hzx5qmTYhHt92LyK5od31D3f - 82q53+2dchF1ivebsdEH7qUiyF38PYKGqlfzV5McuMWnN9VsXQDfsNjsgNgHNXYj1mXTZhRtqDRC - iaDFvdgEW5aCxgE8WnTW9VOmljtYffMDUYRWDdt0sycgCY0JH0nIwj/1D+x3SaRyX7NpkLkEvlPl - RNVDGfWsHuAi4V16xIdTbGdzeYI2PKWajuR4LwPq7GwTyrediKQg7vUFNT6BH0tF+BSKUCdz4O7A - j+/VHT2xZQ6GAEqOoqLpUDB9yiVfhYa+fZH+dZTZdNcMFQZme6SW2++zaVPaHNxHio61Bapg+xuP - x7RZKFp4Lpv3dfUH/6m7u/VsEU3VgYrpGfTCc33GwM01YVI9NQQGMruThqYc4m4b0VXv95NrJSZ8 - g61IVVvRQ9GVvh5gaKmxu+832aoP73DUjQr7t8s2pFdx4GBcaTq1nmWtL49W5GGOkgI7t7h2V/3e - QRvHE4HV5qQzrDYFZJRd0GBTGE6r/oak7HZIuLcUNCGJB/DKmivZjM0JTHpKWjifMx+BREJg5pWl - gflmLqnztYxwjhIdwsekLNiWs3e4OJ0qK3CX6URMrLiaboqN4EE19mSbKKo+D9a9hGHSfzEe30M4 - otvSwtjgJ8Jy0mcL76XeT0/RtZ7C+RZBB07TshBwipJqWsZbAZOAf1OtwkZPvmmtwkZ63LCV3YuK - vbtUhtG2Hamrcq07PYEkg3V8iHwBcTgzi8Zgi/Gb4ji+A+YBJwZdPMdU3c04Y9JFNZW60x264r07 - RteqgWw6tkjwYy3ktyzWoP1sIOHrqWHTEesBfO/kiHDj5uXSJ6lyoAekp/v3U2BzHhgEoi8yMVYg - l804zVQYXrgAnbChhlN63HiAPzUxPcYpWvHmgWD3zs9Ynao3W4xhF/30DKGNftOX/XJsoQCpiqZH - JoEW1JIDdfa5EKYnW7DIzor/z1KjuE4NtmCGW+nUBZjuN9SqZlEXbfjgVERN9WNUk49jA4q988SW - S9/h8IGjAWWwH1FZnU19tNN1/gq+pqjrYrB059kE73RzQozcGr094r6FkqSesLvOz6w/Eg0Gx3rA - xmJswXy87wm8VNCktpwZ2ZSpWgGGqOTQ+Gmz7Of/YBJwHdZNuu8Hy9trUAb6iD3baKpB7J1cWv0s - GeXlA4YCyi3kT8MdW0Z0YfxmEBLI5yYh5QaRbNUjA9RZfaGmn+hgERA0YJmmNt77ezVb/bAnq0Lf - oSh1/Wq8oz2BwuC1NInFd8j6QlKhcrsxZNFzCRZysm2w6gNqb7y8mu+oNCHXaPXIkX3Z01y8JpDn - xABVSBn0SX5PKSxBsGA73mqgm9KNAFb/RsBjHwE2lIEDu4/bIvn1xj298xcbnu7bgiih+WLjyws1 - eOXn61rvu35uvVMO501+J8sGkfAPnqmCJGBtxVO6iZYCnu5jilHw7Sty/BYljHYnjsTt+esuyXM2 - IZ97PLYXedaZerx48Oe/RC9XwnbFf+XVCxW1BS7Sp4deO3C/7BwaamPhklsZcNB4yYTMqrILGUxd - HuSQO+AD0p/VVCgggfNe44jw3mWMAHcI5GhbfrChoTZjcilOUGcPTK0QnMLx5cotRF9TJdP+Pumt - GvcdWLjgRJancA2HeYe43X0TVdiWbyWbAqvbQaqSA/aM/pYthzEhsL/UFrb1OQULqqcYzjSKMW70 - mzsD7pT86hst18YNp5SzOSB6ikcPDz4Hc22VJux4ocJIwCed+Xsa/PQLtdyxZMP1kPFg3ocONqO7 - yeanPaU/PsAmXyf68OO3VuC22DF90LerHoNK3MT0x88LRa9AaWPDxc6OV3uGt5L605Or39DBUlyn - CJytxsNeX+7B1nl0AuxicKfOiU0hUaeigF6uU7K5fOt+kOtkAvXRLigiUxay+dkReNunRwIeepyN - 7T7RZC3sCOKlj9MPbAoX+G0vIplGM6rmsBB3cPMefIq1V1rN/QGkYN6rHNXYJ65GqukI8CSWyfTm - UEU19eUrxtn3aebPNhjG6RXDJ1eHZLPizzQC0QHfi6ZhzVIC/U0WLYfD9lxSw8mjbFar0gCcEMzU - ro5nxvhk58uHQMqR8mmzcD6H7VsOGy/HCH0cty4unximcy5QM0rrkOyCeIDG4sg//NaHJ7iV8BY9 - FsKsAoBhkax/87l5HwLWhschBTC9CNjafMJwzs/vWFn1MtpKdgDYo1eFn3+hasFb+gj4hPzJnwS1 - rlzi9KUKkXQPqAXqM2DnHfNh2RWIOtKDB6P28QZ4OUwMD+JyAov/TTlZ9k4QHx48x+hvPa3/j61Q - 7LLx5S4dPMK3ik+rvpntJl7gohqA7ICRVINnSx7YeuWJbBwDZ/xCgkB55W5Lf/kGBUlJJJOmRzKv - fmcygsyQm6Sh2FD6UzXSfSfA+3nv4v2gOjrbb4o76NmUUkOqv+6Yee0bbraoxersQ3dZwlGV+yqx - 6a/eF307+HJ9dAokcUbQs2HEb6A254Rstvwum3rpEkCqhzHeg7pw52P2jeHka4ga8cCx9yGKGvjT - B1vJicLpaVoq7KvUxuotZKwTMeSBqxwPSJEXC9C+Nw2wvS83bFcuC+frHUGZ6rc71ld8YRe2fyuH - ormRtwY21TDvTAi0g8Ko5VIjXF5JQkCZBhoasaFm5P4RzX/P51QZTOwHxINL0z9QmZFzOBt5soDg - E3xQ+Tyq+pydvjHsG+uJuGAkPUvGnQ/JvrWp7khHfc1nbOD1cYLghhNArb6dHDqPe0dmNdAqUSo4 - HxbPq4iWbKBsYRfkAEkKbgRmdK8v0lFLlJ51Edpdy9RlN3pL4WZrlhhV+lNn0fL14Fi9AXUPJnJX - v9gAIa9GqsuGyn56DMD0KiARvBBbjt+igFe9e9FV34bb8hQuUHLe5I+f4/MD8kHq88mKRzu3o7eN - CdOCy6kmGg1gF26zAO/UPyjeWi998o7nNzyqWwmrJ6L0wzDZHASSmGN3cl/h4PieCgKz1OlaL3pT - 3cMBMCT31ITGl43BZU8Adwn2KELFBcxZkk9w9QfU2nwjMJceS6Evuw8CN1fDne1U9cBdXTYEQk3W - p5Yjb3ARQ0At1SHZ8s3qBaqVcMKHh2X1fCXYSPrWZYq9jO5dQQqfOZyKpKA24b0e/Phj1fdEFG8t - WAzxkMCPKdvY7rNnyPrnzofZnmqo32uuuwBvXP3i21vzoheYr3eTg2s9IbrfmRnrn1MA5WNRY8tO - V/9nC3fQSPiE3SKv3fGXD/7ynt0Pv+xNIMPWZiWKL+6zJz99teI7WjIyZ/NOLqff+395Y9hPbd6C - 8060Ebcc6n4aobiTVrykR4cJ4RynowDMySEY10kVsoM5TtAdJrbyrapvRbEtYK6YLgL8+cD4cS5N - pcpmh2wfEwCLvn0H8tZLLOzR1gzFpejvEFrFjTBOvPdLm3otkI/LTLESdu4fPdaZPvdHz675ZgA2 - 12NGPUOtquGXl6mHTqb7XtDCbbv3NegO3UgN5Tu4g9LdSyg5GxWJdwx76oupLe/uR4yD1f9PlmsH - 0IguEj0iR9P5964zoZDP0p98hvCuxEuNxZ0ReByujH5bnYd3FRyIxGlnl0x+t8BAlA7Ytuymn356 - 8sk9TljdjUM2Rlfdg/TsPcgmjiEYY99f4NtpALU+E+1pMyoFPEywx9Z1M2WEnNoSQMuxMMp9PVzH - s4QJ26So6rU0W9b8/6f/0Riae7ZofF/89Bo96be6J2N8v4M1fyVzcVuyNlO1EupadKPu0d9WC7uY - Dky0yKP2Ux8zfuoTDWbP1kb1sGgh7/ieBkDC8dhQvp675osQhhdiUrMNu2qS6chLXDtCasjoserN - ea03kuNjEB2raVOqHCgfuCbc2s+YItU3lOfJO+PceRqu+BzLAZpnJaO//H3xu5CA23n3oue2kti0 - kNSHv7xdaMOuHyu87YAv76/YA7slY+XS5PC4cc+IK5NvttjLPQevU++jZeHKbEmKWy6zZ6avLBRm - BGq7GI6HFyHbW3cNa1TRGPaVryEB2h6bUpvLoRZOPBJVh4RExLwAf/jIuQiywT4dl19eSw2iBmy6 - 73UfkHLh/vQvfnoOOCcjWdf7UJH6+YBQTMs91k327v/kDfWtXBCAD8QoK70G/PK0c0TEfmJEbmF/ - oSfqRXGkT1ddJlAPmpoiF90Z26u2DN89vtFfnrek7+gOo1rF2FR7q1r2S6f+yfcFP1LZcmTbN3iq - IaD7wx5kw/q/inLL2E9f96PRmRyU06OODc0zAWsq1VRMmhzxMW9E/ac/4LdOo59/zcTXtOZ95KH+ - +KSfTk4QQyk7eUhc/daaryE4asIVbRzV++FRDsuuRNg51IcV78YF3Jb+QM2kIdnYm9kED6HbIcWq - Rp1Obd6Bh39C9Kc3xSk/vmFkWTbiz4qps/l7TcA0FQ09PKaMjV5Rm/ASv65/8mFy/Y4L3N3DCyGo - +uhsc0llqIWyTC0qX91l8stJofOwxZq7YdVUabEA8a7EKLmWqc4eQtxB2cOQvHaBWNG8/yIgZMQn - VMEfffzudysfei1224H+O+8fQ+9L13zJnYtjsgCefMyfv+/X+/cfH5LdtVH0eTHJW86CU0rVYtfp - XR2ptiJk8E6NMhSqPtnVa/+h70iw5lGTnn1S8Ovv/fhr9orRBGurDQk7tQF/8uXP8fMkfdv07sId - Uu+nb7CrcvaaR7c5DJv4TfdrHix2XT38+IbiRpf0pcwCDvYHk+I1L+uXkOQDeKp7Sk+NUverP+3k - J7lYaOJ75w8/yut6XP3xrlr9SQqcR/zGqEw7QBvykH9+4A9fz4VzLmFGJ0Qv8FXoM7M+EfzWXYGN - HLNqQfUuljB4LBgtfB6OC0gGSF/5F9FzXfYL/pxzRRxFAf+Zv/zZF0BpuBbvi6sPSB8ub3DMO4ns - wvv2l/fJ4CxZEZq+2rmaQD3bMDC7I8bKue1ZQ4QAGqXKUz1tG0DLheSQhoBHonizwXyKd4nS2nOJ - MfIuGeFjcwf97+xiC29tNgvimj+akYO1TTBn7NEVuXK+cjmZTvsmo1L8RQBa/ok+VFNx25Mjk18e - huZ+p7NFnVRHnjTLItvxBfQp25QGbJumwpbhL2zhzJSDT3La031kvdmMknn343cyjc61F99dIEPo - WB2CFlSzrV3HGuSS0xvr5eSBlQ86uOpV+lzXH73wWiTVnetTvOerkGGVlHCzjQj+9RPmW8Tb8Lqs - /XdRmMAfPf73b1fAf/7jr7/+z2+HQdM+8nrdGDDm8/jP/9oq8M/0kf6T54V/UuHPTgQypEX+97/+ - vQnh72/fNt/x/47tO/8Mf//rL+HPboO/x3ZM6/92+R/rt/7zH/8PAAD//wMAK+GH5OEgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf104d49840e87-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:13:05 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '55' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 4cd85160067d0d527e19b56e53ae0bde - status: - code: 200 - message: OK -- request: - body: '{"input": "a series of four numbers, \"2314\".", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '112' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6SxOyyrLl/PyKHXtqnxABqeTMeMuzSkVROzo6QPGBIgpUFdSN+99v4Hf6dvfE - ARaglZkr11pZ//GPv/76uymq8tz//a+//n49uv7v/zFdu+R9/ve//vqf//jrr7/++o/f5/+3sqyL - 8nJ5vG+/5b8vH+9LOfz9r7+k/77yfxf966+/5bF1qPw0K9RHxDzCZcnWzDp173b0acFR55aIxbeT - j2R7P+S6cRpr2nrOQnDZV8/oo9tzZuhRk/aqkmcwDqmHuaM/i8+yQRoMp4NKrHdhI3GUfAr89Nnj - YbcsCyoBPOC7CfbER3ISDWnhYDSaz4oKXtf2aD6OM6gv54Yl0aUQ9HgOM6D5mrCdDXbE081zjfRT - 5lC0Z2ax2ONnA6/6oWAoOrOSC/IYodePPlX7h1uwS9yGsO13WzpI0k0IeSlpcO/yFTPBsiopuZ6+ - Gs9sip+Xuim+51x6QATvN1Y2pmeL8YwBrZoiwePjhNtBf9cevPy9gvuldEdC9tMcap669HJaXouR - zB8huB9rxYxtd6tGs21ldKd0QVb+E9Jxpq7P8JAWZ+I+nKqgctZxyF7hjhneqij4N9o3yOpTk1KZ - dWKQTOSgQMd3Zm9eetHMdFOD8OmnxAqzsBi/e6uB6feRVft6om79zjq4lKFF3M/WtekpqTR01psd - FtEMisZp/RCdikuEl+4apUI5qhRi5Uupfvo8IvqiJoc7TlZ0Edbf6nOwEg/i05Uy39GQ6H73v75+ - SRJTRhHTdyWG2cl4k6yc01RA4JT6d2YWJCrqedEri7RcLufFjI75Jo34am2FMGPlF0upEglB8WwH - 6VzZMH87q9ORry5rFMwrQmdXed4Om5BqAChymKt1qa3svvPj8v3GMrE/dmaPwcvXwIpFSpz+PkRD - yJMnnAZEmOt8UTtgvYwRqHJGPEZeRb99Hhy02WuCuLl8rzg5xwAXEil4JPamGD0NZSCST0nCbXEp - 2D5AMVBbiumWL7Y2ddjnCe7XBCyrs7sQsl/kMDCB8OKj8FZgtlHhvvtEJLQWFuI7fjP019qRiB3N - IP16GtqhZSA8qpTcKoS002Zw0F8Nszbkgni+28XI3Wwi4j1NWwx1zG/Qn7WcDqH2bEc28hrOtgeY - a+7D/vN8r2zmxD1frFZafKAB0+iOxChOq0oYse5ri0aVmbsnhhjaV64i53DTSRSE50joQ+rN3fk5 - ZGXAwoqDc5mhw5o9SJipb1uwXnOgTKQXC76XdcGfqVKCI/cjfdYpKeiyWhw1L5IqZk71zc1jNYPS - PCfE+OZZO8zMMlsev1dGfFAfLR+k/Q7mVrrCbKaeqkE1XmuUPOLVlC/XdMzyqASWPE9s45zCSMRP - P4RLfiuooHPXFlfDfqJaaB3xyGcTiVOizkBsRokk8XWTjvn77MDn6tv4fJ5JxVCQS7fULc2kwx53 - reBrPYb5eTeQaKHdI3E7oVFrn/OEOfp5Kfo1n32hJ4mPf+tpGmsSIqq9pprSbNMxyZtYu293F6q/ - 9Q+aFjWILaM3vWteWvTS+vRAF32nMOtxolXfJZ8abFE0JFLbpT06M8NA68XJxRw/XVsGeVOj7f6d - Yf1+Jqm4rRsV+tNWEHytH2mH7lsJzU7Wm8Q9joru02wfiFFnxQ6r7aeld1GqUD63H7r4bF/RyK7e - E2qhdhgtjXdak/nXh8HUjD/51U3xhUdUA4lm25MY8JeXcHAbi7haJyIaV8LT50cWMtM+7CqhxScf - 5ovXhs79+ilan94kYPaD0fksxbaI0q8Eq3RrYwVHl2jE0jHXCPoqzLh5WHTvWTxDoF9H5r7CoBpe - CnkCJl7C/rxP8sgZkoLbxPDtsOJZX2QQ5EeXJZedEHTcMgNWnSXh8V1UaGjpa4Tb4pyR0DRZyvAN - neFB4oqtuKJUjK++GWwFz4gpSTdEDb/hwM6bG0XluSk4t4QMqhNiOrhphfr+feIgdqsHW+mdFrVZ - frzBerc8sNUh2aYDDc8q4vkME0NzrUiYWDKAnWYjXs5zWnTuS6qR15pHFsBu6ofEpmA3O5/Fl/RR - jdHxk4G3e+1ZUKxSewRH9aAt7wG9lddeDLtL5MG9XWFmXxa7QphHrKFVgI8sHFaK4BvS53/2J6Vf - GY18LyhIW74m3mHo2mHqf2hUkoK4zrdoexcfMxTp2g1LtvVJ+UJNHXjGa0Q7dxEIse7cGC7Lfk0s - D+1FN4uaHCY8Ip5FbJsLeRfrh6YsCVazHvWyvQS4Z/MlcSS2FQueazEqlvaGEDSKgi7EvUFbeeUw - /NHCVCC2w1CsLIOkBtdQz21D+72fuRupK0b7Gq/RfL+qmJm0UI2r6NihH34KX5XTIW6WT0SKICBO - km1ScRcV6MYt/hLM7m00usFGhthrtyScyZItWFPf0FSvzPF3YHf9O+5Q61yvZLVYdmLqxz5I0kbQ - eWZsBa+0FYap3gl+pkE7fPMgBDFuHyQoVsLm7SuRIfP03YQ3L5veynENjCxXJPIN1+blcQP6XR1v - VPbga9PnpSshD5qI+I5WCN5c/BHcODSIHYzc7s1HpP7yi4TDubbFpw8MuCLqE1N5Hdu+pT0HafHs - 8HymLit6WaprRM6lxcKw4ZFYX2oO3fPDWeSdnIizq0r//B/VTnMkvuvYh/24mDPrfpXEZ9AXa5if - swFrh8vYctdXKErM7kTixI7abiHIDb3WnsTI8Z5Uo1soNRA8cvxQ9aQSDI43yHZNTVUReHanwlFG - 31KqmTcPqT3CvCvh/amezD6Kqz3sUx5rxW19Y8nc26UTHsgQVZJMtoeoQ+3qOAdkLA4SlbQsbSvM - Tqpmqu2MMjxuotHwm/HHB+gn3bloWF4/Bgx4e8Qf7biM2K3JY2DdgImTKq0QAoUUlLXkMOz4geDX - QNz0H78K1e8bdY+DE8Ir7Qq2Ev0tHa9yW4MfkQ9VvcBGPHv6Z8j9/ZZETfREIjovOhDs7JII3U0x - mm0lwfzYh3SwLjnqvPmT/9lvgaVXMezdDQeNnwqCTauqhsft6UFfZSUL3HWR8sLVOXw25YhpwL7t - +Ob+F2LbbAlJJa8YpNPzCPyQvell4rf8vTpoaHN65MQ8obQSV1n9gm6+fazuXqtilKLUgolvY21b - 6GlvhdsanEBpqeCbg+BTPKGK0iu9H9jbFviGpvjcn8zy0AJR5R16iC2DN/EXXwMpt2aLIRNKwaZ8 - jiSlZqAt6tpnhvbtKz6nbYneHvMZyYwRjXs8UF2O+i2J06cXLTJZrNG0X8zZ6mMkniF5wNT/6eJi - YZuLPtjB6ZnoJPJf64q9WysEassxMdnYFvT8yWdQHO8VRt7JsfmW3n1QuLEk1wLuaJgX3gPq9Dhj - Ez+xR3n5liA5CxWnRsRSMc8uHtq3R2/C+0M1nnO4adIHpz9+g4YgsW6wwZGMddutIn73agnOVf1l - xPvuq9FMxwfkpdiTqB9fFfccnuu1PsuYG0VZNHhDkaMJjwmhtmIPxGkoIv38RRJ3w1pmDYqHwmeY - UuVmLaJh4pNghqOF560SVvx87Wdo+Z55DK+bmc0fr8cTWFKfmFGc3q1AdbADVT/2JBk3G8FfI/o/ - 8Vj3XTQm+Q1DNdceVEKLoxjOdFOiHZcos003sLvCXYxA2enEEnidEF9e0xlo7++HCpXeWxH4G09P - fXTDKtqYlfIkhQcfMEL2h++u3yWFeuOtqVioaiue4eoBv/oOQuVsc3qkW/TK7IAYdmYX/NPkNzDV - zwzLj/wh6vP4kuD4klPmxVVrCztiGZhsGZPgYlvpIr9IPlifNsfSbWXbor6qR7AVk5D4Ul1Fc0mM - GMhD9Yhvp9pUj0YJxMqPWJ/01CexPjJKjuGZGVKQRqNybBuEPKXEG0XzENUHbKkXZARk95TCiF7i - zIHkPKi/eNjU6h8UbveDyWLBXmhw66DRgspXiHut/GqQs2sH9cp6UX5M7y3rfB7CVR4aMvWjdnCk - m6crl/jMcC05ETuPowZXLJt4To9uMTRBKwO8TUYt+nlVPSS6hrRViIi708Z27OfrELSnbVFxFHOb - ydlSgvs2uxA3rMNqQcOdihzMIxKlYoyGmWofwdC2O+Yph5to+kXrg7s43kgm+yoS7Jp+//B5c4+7 - iu4uxxCysluzbdPLFasrpQNFNDcM0rmP+k25VmHfU4lFqwrZQ0SCXMv9wxZL2bFuh54/G5CY3zDL - wliMb4nMIF1/L8SiO6V4IrbcwmO8UeJaJYuGbHhTmPCDWaF5trvDKnqC699OuJ8Xj1Ysbg5F8WW1 - x0J0ccTNt5XDjw+jH99dRUcKUABh1ubZRd2YnnzoIO+YR5xXJTr7WcMmfbpsVfJHMQzSI0f9QdeI - a9taJUB7AWCaWnTXGlnxhz85UfhkvlQcEfv1F/VKehZN/G7KtxzmZHYk3uxlVRIW8hpN+ILHTJ5V - XbANjJ+eYhM/FGP/SLcQLjcXYji6UyyiQJfQPv2ELDn0I+r0HVpDYtITi88zKaV8j7rlpBep2BgD - 6rS1/kC8uw54nAcnMYxzKYRiZRgEn9wVGvRu+UVKeDTIegsXJMjh9kS9eVeIX7RJIbZKBvDYmgaL - 9UCy+7VsxdDLocbITF223TUQD8BFWRPvm/Cod4N4BKRFDQvyx7vqeVyMmg/EJdHkh9BFoe5A8ulr - 6heXVDTnqgMpMlPi4HUbMX0oPPDGcU+X9kcrxHfthFB9zlcSiPBQMBUJDkcfYhYvTLXq30zUMM8t - m9jkxNF4WPMakBVbbP3Tn2G7jAG7RkWiywO3Y5bbZyBFFNDBmS0q6swMS1fBlYi1WrCKdgfzBrQy - TWZqnkj7GYERzEgodE66L+rvzLqhbWeeWPCpsuqHZ3/6nRrxZ0u3wqrh2fEP1YeDarPF67iG0G5e - 7KKk72jyr8Y/+Hmb8Hak4R3g2AQmXVgliSZ/CdAr2R6Y86sHIX/WoA7WnrkneAsureMSsWwfsWTb - 6tV4PFs7KOCrkhieTUWTvMHa5Cex4yv/IKqGbgx3cjOYrRd+O2xH/QG3JGlp6S/WaEhnZI2c5LKl - /KeHqyHIwcqkGcm2YSQEzIeHfq3mMZU/qVzwcOF4wLTyxgL7o6Xf5ceYgeD6h36vxqNlnd09QU6s - iObqd4U4NQBQ+/he8X2YKahfyyFWG8fRya1DQ9FtFclARnJMyMHTUUH3eNmBxouCODm/FiwpoUav - 7hKTcJWglgbXxQ523+MX18RxKx5sTQMO7+iF+859teIjFxo893bPkrceCC55Qw3EdK+M3D5B9OMv - KDyfMuLx+zHqLivpCxVeesTZl53glKRHtE+Ix3541pasxj8/jXgxBjT+/LsWaEAI1bn4wx9j/W0T - H9+hah7Jco2m+DMrk2ft8I0eHaBLep/02SNiTXqU4ac37clP5Hb+lUGbeR3D5pvYPz9FN++xx1zb - zttx8bJjIEepIPZmb9jCsB/rX78jweNb2UOy8bdwdosv3Y34aLcvz4j1yX9gRoPDgnabBcBa6cWv - XqufntXOBsfMTN9tNdzVSw7v9ShYUvirVJJO1502OzeYWZ83Tyf98oBgnRXT/ad2vK0LGRbvl86S - sTYiZWaqZ5Cv8hurrzxAQzw6Z7Cl7s4cbkWIH1mO0eS/TfzgYw8L9eZDEKgHtqJtaws+sbjgs4qZ - md+u0WvXfm5wNX1OwofnI+HNCUX3PTh0rO+hPRxW60Z/rTKLRFczFd/6Wu3A9zXEvENs2pzHHoXO - DhOC5fCeMjtiO1TmePaHb//hx4vMyQl5ZetIycqD/Hs+Oe6vps3b7ybXJ/+NEZ0+2vfXG9aotEfE - cJCf08EX2zWa9Atxd/tVxF0cbeE0r2/Envhuf4iugHzvmbCiQH3VcqvkSHV8zLyjsCKx2aUqmvQa - M7vuVXBfPXJQ0nCk875s29HEdAaXTJPw7kUrNO4W5hnNlo89S4auTofK1zi6tceWbTu/jSY/DFCs - NJQQnLza4fgt6B/+ctxf75EYt+D9+CWeBSxstZlwVLhKpUZl2T+iTlvGPpr0GX3C1hLyZfNp4Pva - fqmCIz3qPPmkwhpfU0qyvRnxxQe+6Mdn5GXVF51jLW/ISOUNCZVmTAd7/9yh93z+Jn6LnILjb3tc - ntVewmqfKHY37S88zPsWP4bQSLl0OmQwWat4+dw87XbSy7C6fgsSWFe76Ms0LdE0D8DDMDuIZxEF - OzAo4vTH97hJNh6S9s4Ms76Mqj/+9eTns7DJuRg/zmsHZ2PEzF6kvS3YtfiCmwQLqrw+CzQExQ2g - 8YqWqhJf2VKaKz4MBzukHD3fBctPIUV5fduy86RP+fYWUuizmTvxsXM7Pm6Dj5r1JcO8y1zBrsPL - Af3hyczcfUxbmfgb6o7pgeGNUkeUPbehfhiSNUb0MNg0eBkanObPG8mnfjhuQjQDUzIeLI5WMPnN - +y1scCBPfl4gRKtuR6Tn+yVZzcwm5btH8ERyWhIW7eezqssaMoKu3pZkVXIr7VeR3egGXXIy+Uf2 - dxMKQO+vdCHECIroV0/Q+q7H9pMfTdMVW4PAcCA4XrupOB4iCT22tkFCX4Jq2KqmA59Zpk7+zwEN - Vzm7wZEjQezN65K2ypF36PxIB2bNyyYSxqxsUHuVLLKZ4id2teqBeQgLZh/uXTqGs6UDGza7sJVc - qoVi1q8dGo6ZTZKnYgtJuew9NOEFydZt3XI2Zmdw52XInLHyUsVSrAbVaT5j5nCKUy7Kh7ac9Hq/ - jug5Eq35oujW5u0fP+QLDnd0npkUj+ZuEQ1JXvhwJw+DucnqVfAzjXO0iRSfYevuC/qslR1oJ/1A - xWz/SIWzuhlAjfj1Zz41fIaxhGMTmRjVT1twbfVt0NTfiTHlzx/8pwZ+/fgsGr67RQ0Nnzu4y/az - iJUXv4S15SGS3M+smPRmqNd849LF/JTbo3tQt795FZ2rK1OMy2qRg/Y0LeLJl/ekZ80deJFcMVIx - FjETg4VEEyvMLj5vxOjO1LTXNyyJ+26fkdijXQeBHt+JLY/btCNO2vzBQ7zW40LaePkN5qiqWXL6 - WPa4/PgzWM7ygIUyVavuZZ46dAg3JZv830LojRHDZx0tsSZTtf3UmX0EKc7if8+nfEV0MPTXhJmJ - t7HH9WB3ulioAVkFZRbx6xj+4aMYXU0h2PEQyZC4mcGiVpaLdv3QMvjVn6c6fqRM+QjEXF2xWNVV - O6DvOCJLMBd/l897JZL9h/7Rd1tLaKngVjYCM2OTbAcWIUXajTNQXjpmyVIy0eT/72Dxfuv0/Zo5 - Nl8jg4LdzZ8ssKfJX6smHfTe+UDImhoF55vtFn7+p+mmlejPV2RBdH/49PE0WMV37a6EV2YGePKj - UZtzyQJ8kObMnPe7aNDLIobroRaU+3bY/vxNJLtcZ45tBalwrHO5TJTDhtglw/Zw128zFNXBEy+W - 4ykdvQUb0XPbzVmEBxB0mFkZPNsLZ0HSvyLBrXKEHlxCjH4RRULhXwPcj7FiRU0W1ahZS4wU93Ij - q029aflMkXdoyh98V15q1UIQn+GwtQoM0Tls5WWlH5EVli8WGWOVDgcrcaB7thwv7KOPJj+/Rt7c - 7/F4VQX6zV/h6vADCd6Hb9SftMGAS/4omPPrL7d1KqMw9xrcRPxZDQu18SFfe4R4prZDdPLnUVOj - E8OD30VjQb7jr18Qz9wHxeiocEbg3mJiZbWZSgvmY0g0UDGabZdoDJevB6h63jPDRlQMr17qNHzX - vuyHJ515lyWofBjIhDfpKIYvR5PeJP4+HNHL3ne733wXK/7zXIhzYdb6z89O0XVZ9PNPB/DWv0uy - muYbw1Dbs+Uzy2o67YeQdhLLUFzmmEz8veL+R8uAKmGG5c3LKMRhH4Pmz+WOuUNutKMFZqgv6zb5 - +Q/T/GMP+qjedsRdJgniM+8sQXyPW2JPel3kJ6v74x/BurxFVJNyCscx7oiZr+/oS09GjtCxcdmW - 2EMqBsZni0WpRPTBF6M9hLVGwW9WnFn63BI/PNI2iW+SvbZ6t21WHiSNOL3HwsN4Q/2kP5B/sdbs - x8fkIPuWMM3zGCZZVEjbm0Uhtu0WLyd91q6Oygx2srAZKX2a8tEZOyQOfcD2U/7yW76WdWSggHJv - VaRcnizcwmUrKi0cMxo35t3T//6dCvjPf/z11//6nTCom0v5mg4G9OXQ//O/jwr8M7/k/5Qk+Z9M - /nMSgXb5rfz7X/8+hPD3p23qT/+/++ZZvru///XX4t/HDf7umz5//b/X/zG97T//8V8AAAD//wMA - z7LCz+MgAAA= - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7ccf104fccb00e87-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 25 May 2023 16:13:06 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '281' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 72e87778cddd5419581d415a082f3a4e - status: - code: 200 - message: OK -version: 1 diff --git a/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml b/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml deleted file mode 100644 index bb0688c3f7a..00000000000 --- a/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml +++ /dev/null @@ -1,2359 +0,0 @@ -interactions: -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Sample text\"\"\"\n\n\nCONCISE - SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": - 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '252' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOQUvDQBQG7/4K+c6bkJqYyt4URVE8WMGLLWWzeU1Wk31L9gVKQ/67BNReB2aY - Ca6Ghm2N2D50yfqpfngpwnDLY/P8enqjavOxuYv3/nDKH6HA1RdZ+TVSy33oSBx7KNiBjFANvSpv - iiIv1/mVQs81ddBogiR5ep3IOFScZHm2gsIYTUPQE8LAfZC98Df5CJ2XCuf0Py4UhMV0Z5DNCrZl - ZylCf07oKf4lB+4IGiZGF8V4WQbZC/llfot3s+QvhY6SboFZ4eC8i+1+IBPZQyMKByg4X9MROpt3 - 88UPAAAA//8DAJQUSCUtAQAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f454d021ca2-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:32 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '935' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89466' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 356ms - x-request-id: - - 91d91fd69823d01bd68302ad21082222 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Sample text"], "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '90' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6XROyOrPl/fsrdu1b5i0BgYR9h4DKlwkCCk5NTYkiyocikARy6vz3KXxOnZm5 - sQqIoHT36rVW5z/+9ddff3/yqriNf//z19/Naxj//h/Luft1vP79z1//819//fXXX//x+/z/VhZt - Xtzvr3f5W/67+Hrfi+nvf/4S//vM/120fKPkX7J69/uYtkdkqxUaTnSDLhGYIgnfoDXf9zQIPyqg - 0qOIoPvYCtT5vBOL1W4U6NBsdGpdVBPMjukZYMtuW3zwLnI8b0H8URMCXIxPuupTYQx24NslPvUm - K+qpDiwDln7QINDc3/lMRHmA0+V8oH/Wx2ZNYPV6VthJR9LztHAiuD8cOQ1uKyNnsAkDGEXPgh4A - vfQTHJ6O/nbfp+VYrQbXvdrwXo4pPmR+2nPgeiZ0x8OTGve7bRHbjT4gnx+IQF24W/PlQQ2YJscU - 7297y2fSeDsDaV3aFL+yKO5uD/sK7fl5xSZze2vaiEIACCuO1NaLr/82i+8LXGxvJjVHz36Ym+4M - 40DbUfc1N/730TxFqN4xRbx2+5glxazAVY1DAt8jBpPwaBUgmMEBH6y+7ec3kB3YgseMpIs5xOQw - aBn0jPJCQ0l9+Us8wt/7w452kfzuLTYBrMp+h51u8+kn2loCRJcSYP+kdZw9H6sPEFnv4133uueT - bEo36ERhSLTzvI2lwa0IHNI2oX7wTkB71dQMIEIwRUa97wdwpF8oddcnPiQro5qe4VH4/T+82feV - xV+828GX8SoxkteCP9Sjv4NbbH0RtMKDxc5eIWro/S0oTpyvz21vVwBDWJ3J+mnLMc/CTaKDlaUR - 8Zphi+kFt6G2/vbU+crrft6FjgB99l0RRTuZsfQcOgPeWRFgP+131iRoagQbO87xXlhDf7483gZ0 - 56tMsSaGOSPDBGF3iHW8P1nHftqNTQuzsmbYvW/zajqMVgi2r/OLmnfjZU2guJjwIc07bPK+6ocM - xA4sJCgg4R0eAB1dF0Ip0EKkb01Uzce2LeAMdlvqPNU65uiYOnCldhQHk57l7GO6NVTUfsTOavha - EyteHmzHvY0AOb8Bf3iohfe7n2BcyGrPzt5ZhGL3vtBdUjcxv4IxgLb69vHugV7+RK3HDCXZ12mw - 2bgVG8WYQdk2T9igeOuzwHsL0AWpTfr0OPXEG54BNEOKifY0D3xmDbDh9tWMGAvXHEwbEJ9XpRml - 1D/dzKpDG6WFH+OG8RkkQjwnQ2bDZ3/y0Wp3dsCUupsQfOXtm3ryeV8xMspfoCE1oX5xsqxpFVbR - Lx+JoAJajaNWmlCtjTPiR8PMuQnkEI7p903NE2TVrGFmwIN+lBC/P0j+7dPLDFn0SAjbPMZ4PrpX - Arn63FErJxMnPfA+oLGPOY5u7ViRmzkU4J0OCnWi847P5+LoQHXPQ+oEnZ4P20FloLncKMVG94iH - QxGW0DOmGvvy9LRerrQnmgUuJ7xN3B58X+FmByuklxiZF7nveBMWkOYpRorJ3VhajvVdV7RIvytP - axKALoBB3DX4wN6nfuZhdIabNxkRbzPEJ3eYd1psYwt7Tks5a+BDg9kbDHiD+D7m8aY09cxOv9Sq - D4XFi9QRYdJAgIOjSfK5Mj0Pvk7CCh+edmbxRhQEsMST7rrC6yeFq+xXf3Tjmr4vXtuVDXTbTNHF - Qi/O+uHDYLf+tHg3GlbOHIK/oAmngWjy+V31dWGcoeWnJvZQOljc3UwefBVfE2+l4hvPrZmfYZGf - PBw0MK6YAeoAGOVaJEyQT/EUpWCAiW361FC3F3/8pq8vDGR/IvoBUJ89m2z3wz/qS0bNa9jeFA0k - DsR+Y0VgvIH8Bj+vbIXd9fCNv5mr22AjzAU27k+Z/4lHLPucblZHBIZbePxCcncvdKfJqTV2zbPW - YVmc6BY6+3h+clXQwGHr4SDiXs+U4SPC9+im1LisBJ/lj1MITUmp6M7LaN+MWmnAJHzdqOdNRi9m - GRG0EoQKRj6yc3bU2KwH0ZuSKevynEsNz2DuFgOaJ+HqT7dHcAUbSQ5poG5v/dwN2gtyVivYA/F1 - wd/1Fz7VG0HKVIo9vTkK0eo8VOk2ynDM4aYM4C/+5nZV9GxuWxPGeSQS1dlbPRs0RQG307ylZhmo - Pj9oZQGR6FF8gJ9rzotsW8KxINmCb1NFysIw9PueSNhr+dfil3YFQVjIEvanIvA581JZWwM04AWv - 8s+vX8nSaov3KTLzr8XLD9wcdiqB6vZWsUiMP/DpXnME80iuGEsvwa+fYucEo3xK27sJurKW6O3y - vMaDMnxkeLDjBKmNcLPYyo0S6KW1RxPDFwE3RCuEOgEnpEvat+J7/hEgDMcSKdPtCcjJQgxEO+uA - eObsKrrHig1LqHkUZe3R51IDMiBFZ4Z3kmpxqUwB037PtxszsH7xgvdX0mEvq56caO5VgdL6ZWP7 - U9d8OnjpDgogIPjE9mZFwvT4heort7EXf5/WfGpmAfqv8Ljgw8YiH/GWwH1Z93gn6eeevMZEhJ+T - Rgh6hyMfjpoy//ACnaN1Xk339NuCLLof0Hra5hYriicD3y1zcTa4A+cnrDjavesa8gT0bJFooyhw - CF8Vde3G42wafQ8eouuauoS7gMlFtvChqkIk9NecaZoiaHwNROwu9T2eipcBl/5Koj704qkYby+Q - GoVHfdv5gLmW9iL095879rV8FVdq8WKg29cxfSz8b4pFj6m9aETUnu5NTFyt9CDdaoxcwYjzyeRT - CeuSXjCyd0ZOQPOEUBhkg5o6CPwpsR4fICE24oV/9cNQdDJMEyPAyXRv8pny2YQN+VpIrvcmH4h3 - mMG1dSVsbNQneJ6zQAMPie2IZEoT5/fWvkEpShjdO58s/gJTZ/C2/7wwVlabmFVkP0O7f3wIOJWn - mF/cOtAdwkp8O9xe/Ns6SgGCNbdQZyETcMVRZLjkC/W29toas8dKA02zMtBnyX8KhlmBr9cj/K94 - QW8rQ1589tQSvdCf6ZhosOiKkaJTEXBGm8yBYn6XsevsrYp6aW/DGaThgsffvjMeQQhNGwnkebIo - mD6jdYVH45XjfeZLfPDTbwDNQNsgzZN4zL7hkUDuFpyo3nlv0XozRfA9N2u8Dasy5vNmSuAVwhxb - fV+B0XgEEcDpCpJWUis+qePtC6s1WVNPN+qqnYpjBHs/AtgZqmc+k4fNwFJ/OOhjkJOgeIWQCuBI - DfieAKfpdQeU8Lqh2zVue7J3Kxk+1YJQ3wjyfnaKyw72RNbJpGpvn1lF9wXmmxtoZXSr/ENG4QsU - tRuxbZ6bijvuFQLfqAfy/qZ+PnHXvcK5jh+IL3qhK0VThvc8XGNbvmb9LKXOF2bdS8DGLIXV8NAU - UV2HrYqYvmnjyQdeAKAfG0QwL+d+GlMgQ1JBA+nJquxHo3lmQEmJTn/6g+6yogUnQ9KoIToN4Gp2 - +ICFzyF+eN1i/ja9QpvDIqLB+vvk7FVoAoi2s4mk5+pRdeewsoFcvloyduqWE5V/NHBEwEFrHvq8 - mcM+gG3DHCSOT8XnZRNCGEfvie528pnP0+MOITajiCjmRfzliwe3bmLQ3fkixp89cDVYbJWe7h8j - iadk+AhQvowr6m0UwxeR6BWwtrFDhKPyjCc4NjLg+/WTrOZTnU9uWBkAROEDW3g8+Nw7bgXYvR4R - RVdJ7MdT8TWAXTsDdYq0r/hqM101uxiChf+s8uEFPFM7lOWVoopI/kREU4GJbgzoQzIW842j1EDO - 7R3Oiqn0v8isM6AUjGDDIgyQV7smCq93b6TPsupPnjnsAAxpiQg/Rv2gA9OBOlFP2OOoypd8+WgB - u+0XPXixmAX0DGSJ/SDa92SC8VcfRrLLkKCdap9bqTNANxyP1E5DD/SVG9s6tKCNna+c9owW3IRM - IBfsKJ8McH8IzzDYbQuK11Has8K8Egij80y044PlC/+yITIfHkbPx1Qt9Tb86f++LMV88lw3AFqS - iqhJaeqPgjZFmpHYGcbS3enJBcg7+Favd+ytsOPP8zE14VCfGHU1kVQ8GjQCs4Mx4u1h8+6n7mEX - cFXMjCj+4IL5DsxaNy/XCGl08KqRFS8Hlo18IRdNRD0T01cGGVnV9EC/L593x0cIlfk84aBRSkC8 - sVFgkIcz9vlIK4aORQh+eF2cioGPlluVMOreGL02Zp9PQ6PN4Ku7Gc1X300lnYqvCYrD4Y16yajB - fM22CARoftJtfsScU2AK8BoWPvbRvK34tgllbW3vPmSMozOfvwVY6mmtEekrjnG14KXuvAdKkR+l - 1tx5u0SzLkWDhO3zCpjP1RBYo/Gm3rboq1kPN0ivu+uNWvSI82kP9AHqYfnBAXSJRZqhO//yjQYn - QAD5pEYNiu424gBWZj8nfNJg0F1PBLra1+9NIES/+qJ73Tz408e9vjTsJhZ9WMju1xmfA21q5AJj - 4dxZbC3hBFyoxagrnN8xe4dGqafsdafOnt1+fBaBje4GpMmPGHDbdRmkSVwQlnl0wWM1hFpyEmng - 04vPt+3pBZN3e6A7IkUxd0EsaF6dtkQ4FQMgCZ8USPBGRuvHiGKuhb0M+Wll4z0PezDOYY9+/Rk9 - q3HoeRdGLUx0c0DKFow91bNCBL9+4kZTmbMMxB6cRSPB5iRcrfGcGgjw1/1E0RbgfMiLsIVDAUK0 - zhpvwTezgIloF0g+3p7WnIf9Ffr940vq6ogrei++X213wCW12CeNR+1xJ3DiwoYie1fm7NyOCqy7 - 7Ibt7+nps1VLdtDvmgMZChHn60aUBVjdtxY1hPlVEcH0QngqyBGjp9r6U2MOAXyz8Uo3xdnmf/T5 - wT4m1HX2VT8+wPAFBwL2qHqEXsVXzSuCGvq6dOHbsTR7yP71ZyK7ArD4w9vVcAKhTrSNUvqjIgo3 - 4IAKEhV2OqeJOA4gnwOLbp4vACaFT+xX74RZyS3nPK1CsPAt7G1gxFnsbT/wsy8NmmFk9pOYFQik - iRnQhY/wKSoyUcOjH/7w0eJz4VzB8RUYpJRTN2dPs1eg1ntXajwtWn0YMG2I2/2D/vwYck2dF/Tv - O0g0jqx83R7R7qcP6aaVGJhRe4rURd8j/Xr+xMw1RQHu2Ctb/LYLmDEwS2iZmYitTtv3P/yHeSpd - acCCm8U4yEP46UZArYt+6pmdBSX86Vfror4A+4pmrc9u1+PXCYb93LZ2AJv3+o5dsr5V3dCub9ri - t+HN9BgB9YfsrHkGr9F6ozkVe4jxAG/JRUCJ2Lj9oLb+AI/dC5LXond++lA/JvadbqbHAchsyAKt - EVNCJm999ekuvWjA2EIJ28be9HnZnr5AUN+3hc+31YzMIYOTWb2JNPin/Ie/sA1rES/8zJ87d/OB - etpeMJrKczxRhwU6FdQjXvhJxZP0KMBcLVd0a+b3/Jc/4PImIvrlC1U1Vf7Tb92jUVtUDDcF1C+F - TKh0/1R//BQ3nUxsx2T2PxQiBvtLViBNN+p+OrTEASWZ30T0pKli57bR4MJ3sKFuVX/smq6Gnlu8 - 6R+/bW9eNbDP8zMBq+TBBzF0aoDCdqT2dbYq8vMv4ss1pUbgejHbhJcSsPfng9EqWsdz+QgIXL0S - jgNt3lncEP0Idlt9Q704WeWMiQMEvPcyory/Rj/LYV+Cbt/G1L3o65zNzfMM5ctNXOqnjieJl+0f - /QjMdIhn53GfwbM2MN0EdQUmuwiZ/lSp+vNjYt6A2w4M7m0ik2v2Fv0UxxIu8SJCil1/4QOtFm/F - E3p/0z4exeyMYHTYCUS4GE3FTFe8wvrSv+neNQNO7bCqgdUIMpHjI1vqVS5g864jbOibXc4uoVNA - JltnomXvpGfHzK5/epD+/IchGG8OwGYY4e1lt/Lbujiin1/yB8+6PnRE4I1GRwPmuDE/jusM7Lpb - SxjFjUVz0b8CY/29IlANXzDJbZtA8mpU6vvfZ0622buA+Rir1FneJwvcKoJe2npItsI+Zm7byFAY - RIPeFr9ZzB/3EEh5JKDmPXT+5GiqCYDu3//w6+nxuNdareOOMC87AO0MagWc1HdIsiIX8iEeJhGs - id5S+0FlPsPsTbTH+1uhj8y7irV8uv76Fd18065n9pFetfN5/0RUtRKLGyPxfv4hUQl3+WRslBKO - JnLwxj+ifvEXPjAfjyrdbR7YWvicBrd480Uy7u1K/oTVDSz5j5Sh2uTzuFFN1WqgTHebrdaPx0b7 - gB8/WRvuEE87FxLt3mVXenDqd/zjGzCTNxifL+BgEXlcRb/7EbYPu4pIqfGBC34S/edPpSAx4UE3 - v9hVrTmfzlmgaEt/WK4r1sAfdgBNKCSk3IddP9sbJsJVJWyx/1kZPn0M2gw3eXDDm5ufWKOQbXfw - 1gc13S96YnZF34DadrUjUtrXMdVSA8JJxAF110y3Ru5urkA4W1ck9WgDpjHlsr7MD7DlNK4/5S1B - oBfNiPpmGsTi1a3OcFTPAQ5YAK3v6F5F+IjumO5gVYLx9z6XeQJRkIgsyXL7F7iQuaG72j/1rHfF - Gj7BzsC70ZYt8jClD9xEISLzJGh++xGT8x+9FZwv54WvRCUM56uCnfe3rKa0PRlwmB8xWmf+iTPv - YRtKhIaQRoe73U8PMHzggn9Iic4tJ944KnBVMEa3fqID1jwCB8SS8iE/v1H6+dtNdBXQG12S6s+8 - xAqnF3WMugHSm39e8KfXdg9kWhJtfQHwOp3xZvG3RuFBFCgl+IDAVATWOLg90Vy3e9Ct0pJ+hoXj - wV8/NdqzXRGjPSHg1XZO/RVJcl629w98F3NHzYPFLNo/aKYqjVzSzcJ3xnqUFfjpKKBWV3Jrbs04 - gW+j21O/ue9jngBTBhcRb7HLvCOYDW/nwU3i9IiDKPGloV0XcGNf5D/xZfpjzQBs3RW21Oeak00T - vvRs/XkS5TvXYJrDCsFfP7qfRdovfC6CL7XaUGdwAz4/vLSAVyIq1LkYFee2h24wrE0Po09l+X0X - RjXs0NemW59E+ax5jxaM6jul2x49+TSJN1uL8seA5Ls15UwMnVbT53uGAys8+LQujAQW0RXi7QSP - /ciArkAQRQ9qnzb7eGhAjPTDpfjQZf5kccHNEVjmAfRQ4Q9g3iMwoVFKIrXbNbAIzooEIjHXSPpx - 9rxPgCdr6/T7pTsQ9tWohoai+3cbLvkp9SyB6AujqCqQcoJzPOiP9aw1l4IidXPf9aMPTKRX8rah - 1iO55+KCv9BK1/Eyvxl9hofyC+RAqIhSpH7Pb2H0+vk51Fv8C3J0I/LT73/ux7betoWljxq6dVUr - XtaXcOzvImIX4Mf8hJkDV+75iI2krvrl/d/grfY4iUiG+ikzawe+9usbPdBwrCZqpbPWNLpBf/x3 - vgBhBy+XZEcNSTWtxc+NoL8mjGggvoJZ0qZSz/I8J9rz9ornS/E9g2W+QI26+cQjb7IC1pIyLvqH - ctaK8g4u+UaDy1OL2SjmDAQ3xcbuKwt7CpvLDq4bdqBHQGWfaKM/w83OctC8/F5eYSXQhDks6Vay - Jc7qtoFAVBO0zEtFa3wOTxNW62GN4ANVgHeidYP2Xm3Ju5Xmfl709K//0I2coXjBpwD6e/DB2/Ag - VD0sOASLP429DqCcvIHgwLbdxNh3H6z6ow+ehayh1e0tW5MN6hIaeZ7QrVR4Odmm3/nH5/7wQ0rT - aKf9/ESFU8WqV6MfAGTvbmQ63e2c4eHzgcK49/H2cjP4Ws/O4s/PRkWKO6uzi2yGTJr9Ra+aPqvS - o6f//PhiulUV2z1WJRQahqkjmYec/fJpL+YKdpZ+OL3M3IB03Z6oo3hTP1hAv0KppAW223XuD6p5 - lbWF3+P98ZmBEWc0AOMezEjM3hFnFKIZZgKJsB06v3nPxQPZFkJSB4Hajz98ywvgI5bUVs+u7XoH - 5LJs8e1oopzHTabo4Z7bRDuqNWCL3w8c3Udk1Wi9NUM+23DhV9g5ve7gj38wnq3Tn/knPWjl7c98 - dPuOxH4GzVP44z/spy2w5jkVPXjsLxe8lewTn3EBbuA3v/NoJFtT3nQvsA5rFQEjyKv51GgCXJ23 - I+lwrOX8Njzrn99HzZ+eV91qhh9WvvCu3ptgvIZiBL+SfKNLP7PoTz8tfICsClmt+C9ff/N2/9MJ - OV3wTFux4vzTY4DJoC7g379dAf/5r7/++l+/HQbt5140y8aAsZjGf//3VoF/X+/Xf4ui/G8q/9mJ - QIZrWfz9z39tQvi76z9tN/7v8VMX7+Hvf/6S/+w2+Hv8jNfm/zn9r+VZ//mv/wMAAP//AwBL3+oQ - 4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f4c38531ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:33 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '87' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 754c0121c6601ce8e8c4fcbc7e365cd8 - status: - code: 200 - message: OK -- request: - body: '{"input": "\"Sample text.\"", "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '93' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6W8+ywJbm/f4VX75bZ0dQoBb7jpPIsUoFESeTCSAioCKHKg6d/u8T33enp/vG - RCQUVq16Tqv+4x9//vxt0irPhr//+vP3WfbD3//1vXZLhuTvv/7873/8+fPnz3/8fP6PO/NXmt9u - 5bv4uf3nx/J9y6e///rD/deV/3/Tv/78tbnzkZluPFbD1lgioFb7ohU+awF9vvoGAkfz2c4RcpeJ - jw+G7SnWmNac42XZypICm17a0tOOPtJpkvhCeiyqRkHhxmAaNmWOLhCExE72g7uUikVRWd0BP9cG - r9O3k3Kgjg8Je4GTprPEByP6js+cYXXq5pDYAmKSvCP+5Z138/QpE8icVmT7x0Nzl0TNNdEW6oF5 - vtWhUU38GHDXNnTD361lPH+aEE5HIyVO9mHpMpWbElRRm5njmFv9ZQpUQtQTNDrnthtMXmNxwDbs - gyWf+O64POMa7R8Jwn3dd0tfk0cur9XQJJercwmm7dYagfDqmZnXydWn89kGyeDLmT5dOLujK6Yr - OEJsMEKueFl47xCDi8sJ19kq0F8fxGcwO9lCV8gqu+le7AvUTKVHsIT4jlVaY6FmKjw8hXmQdrLR - 11Kd6FtmiJWE+uCtCLLzOFff9x10tmzSHrGTHhA8Txc0tlG6Ai+zJOL6/RhMB79q0JHpAjHlz6sb - tVUTwuUuib/ztRHKMkFL3YZMW6FCb8UZQrDMA2be7bXTWeg+TvL2lT/IXhazZfmpBzfSRWJep04f - Le5mwmTHGrl22SEdSxg1+bN7dUT1474anY+jgLcP3szpoEQzej9O0CnExKv4yPQ56yZFHvToypS1 - pgb0aTUehOa2pJvxyLljv+db5K/aiFmtpevbuJAMiJbyTtRO7YIlfQorIL0QkTwwP+ncJM8R0k2d - MFurBnc5O3IGc16diJvtWtSnZRNBsBsn4hqPdhlntubQyBWMYVGvlv7hlC+YNnFIditlpXdHvq/F - /IxcOlnOZRm016oHvdo4hNzbVKel/omkynZ0Op3LNpi6074A7xBfSNpHF3csXqRG/iZKiRMcoRo/ - pqbBvXqEdOHtF5q/9Qg7zXBIMqzmbiybtwJy+/aZ9264qvc80YNtbj2x1EG5DGkKOTybjGOx4jbL - oNT3E3r50R5vu+rYLY1oteCJoU08TWTuUJQvgGz7canUm8qyFNm1gO7jCEQJFMulsF3wOhGWkCn+ - Wklnxsk52AFLiBK7wzJa2yIEvuNMvHWmDM1e0GZwZKrA9FkZl2FhZY4SRbuz3XZF0/7+QgkksjLS - MXb9ZdTae4SuaWRhQbqydOTfggLc1R7oJ3VrfTZiV0Hb3HkS9V6Ly2d1jEuItMPEdo90Eyw3u3FA - N1vEvEd1XuiwqBy4uJjI5RGe3WFylwiye+ExVUyeyzSYkCF/NtfMr619OnP+sQYknCgzYu6csnUT - 9FDwiUhsvrkts3N0FWQWkUNwhtcLc/02RuWbxcTlH1k1nei+EOXT8URMVO8rbvM2MFxZ/Cbu83AI - 5rreYQjKlULIcmzT5SaUEVh2JVJZOzvVNOPTjH72i0K2sz7et6IDV18GYvSpUX3H1+Bxqi12XW1O - 3Yi8twKlcCZ462mq3re7HKP6bu6J2WqXYEK2mQCfeoSlelEidsZWD6uGRMxrPtDNWzXp0X5wcwxV - Vy3zUfQxcpnVEGdjHdLF2m970RMeZ2afZRLMeOc5KD9+GFFCddSXwR8o8E6a4odqTPocDjhC7+61 - x9v3q1im8FSW8NbuMR4DxdLnKlgOMleebsxR4RosnD2u4JjIV+bZax6NP/vpeMc8I0ZgBX2UOhpq - L9mBkOSzpL2pLRmKP8cX8ZMxrL74+0IJ9xDIbrvCaWtsSIZu7tCyvcn17tiERQSxJ7pM+RST3r7i - 2ZL3Xl8zJ75P1di+rxT5V1BISD6kG2GyAVbcTJlD9iu05NFrgyzmKcS1y1M3xYJ/QESf3syrugot - 3sHmpESYQmJsbpzbvcMnhb71P2yv0106Ppy2hiMkBoUFRnck9/IlHV6Bzmx7U6BhYW0Oh3mTEk2L - Vz/8soFdEu/IjnFj14u9a0r3XvOI4Q3mMhlp1SL31Y1M0ceqm+8ZleBBXUrLk2iisd/LDaKH5UnX - 3/oaRdni0P2ec8RdsSmd2tMSos7ISmJZ51dFp08bg5puK2LMhR7M0zYUgK3xg/i7XOkW3osTJLyr - E15p84B++B0t/MElUXBfu0P1fnLAHZsX87lXUY3d6ykh8aZlRDfM3cLvAIUQn/098cdMQ9x5wzT0 - w8fBCCIaLvywgWQ6+URpssTtjnxdQxcGT+Z4se6OgrPEsIusD3FuwysYFRvlEOqxhI+tUlUdPQgA - baVv8RAK2jJV9if+4Rd22PFlN782mxq429Ummlrr1Sanhwz6JHkxr+PVatm0GSdNKzPG276+VpPR - PxLJrkuMhVNd6cv+nc7SdMse5BAojduXYj0jBfk9+eHr73xGoBpRRpQqf6TzoVkOQPlGIEQ/KcE0 - XGaMgt08MVWI8O/++sErmnzxffrFY4MnWDzLLGUbt379rB9ReK6vRrf7ZMiuC0zw8/PomkiUDtDb - I2N4h6plFNLJgZ961vsZXPaxkxbOQ50w90Lvy3jevDX46i2yK+o+HX7q99FKOl0F5icYE6I7aGg0 - xnRNNRH3CbgCUDdEeK4uhT7c6MCJ+4+5Zsby6Fy6a8IVZCfgcXvJ7Wrqz6cRXG3EmO3JUaes2vZQ - PQKNeO8m7OZgmB1ktaua7STdT0dzklvpq89orgxMp7Y8zGggJhBlI1Td4h3UDXz1C546tUv7hLgO - fOsdT37sdVNYcjkaJ3NPZ77Ig5mDdET99T3juXZTfakOSQNeJ8vEv2lFNaqd68DB3nHMv2lKNXL6 - 2ZBnk1yITy/V0i/hiQMiniZMmxKlw9W6n8Cn2p2uTTfRRyBmDiGbQvZTn5MJpBRHYXbpipf8ZWaR - qAER7jLl+05C/W5+ZNv1Krowq1HO+uS3xQFRUQqxYJ3NihobkkuVbens/Pq4+gxb5AFLLhj34mqN - pidyNVACk37XywsWpPkW9PbM8HR4aNWWnBUK9akYmVEfTcRsV1v96Bdi72vu33zmXVBOlKnFC/vi - 8w+fMvO+SNVYdWYO73fU0Vmii943YRH+4B1+r0wbzaX+CKHZT09Mf/TNqqwa6DeLygyBFe6YFIoE - 8urT0zlVzumsFJsWzrwUMUN6T2g+NvscObIgse/+R5twMENw1+Md98P2mA6JVFPweGMgqopSfb6B - Br/4NdPk0nU3M5TAOrUfup5sSOmSeiY6feKIOCWl7oS8Yws/+LPHKxv11u4kwN66WcTPpVOwdIM9 - IrNRMPM8I0QMBY4EipZtMa9NrBrePpdJwcvv2E6bSDWN2WSC51Y6/fKTy81sy8GzyTk8trWlj+vQ - jxAfFC7zjqdPNYyZaAInLjXdXCfXnd3DHSN4HhXM3SW0VFm4j+GzOhd05j5cOggGKaSFP7m07U0F - bfyKi0X/5ndMvdfXZea6XIH4mlVfPzNXCzGcFbTvY8BcaVY6VrjBDPI6K5hVSziY27VFwZs0zIiX - bNDEkmMLxn7omaJ29TLpUiCBlYTDLz997+/B2x/fOAsclFJjs8/hVWo5c9U4RHMcNR4oRMMUiN9W - M48YIBAvd1yIk5z+28+9sgfT+nKHuGsmt+h8PtxxN9XdMtrG2wDk7u/E8cngNue4rdHPdzeGEC3L - JuiRwtod2U8zTec7KfDv+9rVWUVNt+0axB3bFzH7sEqXZ2Uo6OJyCVEiOUaf09o/QHpr3sw2hxZN - ksDF0l1I3sQK4huaPuvIgOi0437mr5tQZwvw8KutD0SRO9ZaLw5V4dASs9lv0imO+Bekx2HP9Ee5 - 7aiZfPk3yhUqc6+iG9SoHiFS7zJx4DLokx/dDxLeph4F7/hYxp//94RHgKdmV3adQtMRKazZMdep - kqDfXq8UNWEkE8XZOOkUba4tiF7ypKvbvVoW7S7n4L4+I8FF2qMpXCQMn83mStcfbUC9KCuc/CSV - ioVBzRbGgjhGX32MF2zx6W+9f/GNYW320TIZsyFv6nSNR1dSA4rPuYF6pN2olDbv4OsXSzQ424Lt - GHeoPmNb1SDelIzYj0RBPBVVCb56gJ3Rvg7mWLtjdF2TFnc03+mD83zE0NUoY7vicg9Gez9HkC9m - QrRMvQWTJ5xmEPkVofWUeQEzefMEyiV0mPmWheAzZf7h931NNVL1nhwFE32fh+vl4bqM3rYNnJS8 - ZnqSjctkjZCDZT9E5tbeNZ1N4SWAHQwJnsxdjN76cmqhJU7IvKyk7vTRPjESvfhJ9G6l6p8ffBCV - +46C6OzcUYKzBtPOeTE71HD6q2+/fprdxASl0yyHK3SHVif7s/+qlsuhsCDLWcy0HVUDDpNDI1vS - 9GbWhO1lJvEjAgG9Jzw7zHYn4noeOt49ntldNqbD5Y1C+D6PIqdK0vEUdBSua79lu5Xv6nMaBxtQ - 2idPqS1wFfsIGScIrrOluecU1TKe6heoh71CzHDU02lRihP8+AslkgU05dNkSF38UAm5by13cdJQ - AOfAeuYe+FdAq2lL4TcfaEoUDIbzlMCDeWJ+s4vdz7ceQD3sFKIa/t4drtblhMLxZVPhvbnoS1I+ - KVj5y6aAtM3CzuK6kb6/MxtW3+Th/pTg4m4SZka85k4vXBzkk0f2tE7Hlbuc3rMp121HKb9SVu6Y - PbgSnNm5MPt9mivKe88RGm7F4e0JSV1bjIYBGbsQ/1tvbvt81S3IyDeYt5c2C7tq9gbu2+eCG++0 - DSbkXVsg4mFizqO96FNvnBVQQ/vOiKZCsBgz5cBlTsO0Lz9NsbA7wObhhMx8qqzrdTxHKFCrMwU2 - z+li8ubh9/9DHI/pJMSHApQtqF+/Nga9Zz8BViSomJ26tTsd8kcCYfcQ6PIRtWC+6LoG970jMn0E - cZnMw+EF6XN5Ya7Sj2gOBsmC0a2BKZFJUTNSw4Pv+v2sVzqfvDKHg3Qpf/XOfNFdDQXtfc8w3qnd - di0ec0jpIadgbtbLeCg1DXQuV5naa0s619zFQTeyNr94pHXTem6wpPK1ww7ceK6++tCSv3kDw7L/ - 6EZr24Sw6OSDP/K66ZYdPxuy5N8i0hwLz6Vk39XwviuM3O8tcpmTZgKsX1pGdhir7ki7ekTf5+N1 - q/MV84tgBOlYbXDDu0nHusxToJoEkUpRMneTjCfzJ39i+v0Wd5w2tDWy02vO/Jf/chmcLiacJnr6 - 5n++3n/9Aezs95Fo6fYe0Jq7W+hnvmX8MV3m5IUFuyTZEdLt+2765hWodEOZmObFWmY5vltQfWqZ - eOW7X5a9cCyBRbuZ2U6LOqpMEMP6nDwJ3tEN6krmSPBMxYxhcZtX0xXFJfrqZyzibVMtnreqoe0K - hkW1r9yPd3ENiGbWYf6W77pxLkULNH9/pNsE02D0r1sJNDWixNJ0qRuKpe+hgRtifjpBOvnXtgT8 - ftkMp/5lmd351KNJQQ6zxHMczEPpmYAu7fa7/o9q2Up0RIdVvaLy/FCrzc6JSzhn0wvDNdsHrJcD - isr3EH/rCyPe6D8xSlXJYPYjKdBoHK8zinLOYip/aNyFF/aheLbY/lcP89OgK0gHa8d2Azv+5I8J - mteuTeXpIHfjeznU8pNXPKLxQxf88Cfaf4w1HsfXBQ2iWHiQzuEKQxRMwZD5kYU+L69k3/Wp3pGf - SWj9mBTmmdpOZ8HbPIGtCxdmlTwJ5s2KxEhunz7b9/W1W2SjrlF7yQ+4NFonHUMrbmHpV4SuDvtj - OmtVZAARbjL7yeOm+rqEKGhve6IphdfNauA5yJmtC1N2vFbN/mnVoKvmX9l+3uyCX72FT5VITf6E - 0A8eQJ83GrGNpncXazv0KC+zipnKyXGXHl9L+OIZ0589H3Tewd4go+ju9Gf+RzOYMIyEi1mGPQ1t - s5DE0iY7Kgyjdd/NB1HUxGIw5V99NO6juJVE3k6Z+vUzYji+AB279wGP+cHrRtc5jihPnDcV0/Vq - mconjhHrHA3DKSqq3zz9mzcy51pZ3agNZY0uoRUxXzu3FXVKZZa/epuZ8GRVHzVQoE0vbMkPfk/C - eXeA6lzkePrmX8ve6kpY9fmMeVXaVfzjOWOwM+9Ex3uoV63sHnJ42WbH1Oj1SMfiqkiQpafxJ48J - JtPfRagcOYv95n9Df6jhxmdHEg1Wro8c35ZoNv0L8Ze4q6bnEBewKc4FUzxkB33V4fyXf3Ee+Yi7 - rkQL8OKONDnd1GUk97ZGZdCIzC6PDlpU0pUS94HHN2+DjoWfgcLTDZ6YK/YfN7uuJgeSO/9g++bd - oGnnixZ8/S4x7Rur2mra9pC2usasdj3o/VG/ztKZFyKKHuapYqWiUPmLx8RyjySdrdXxBQt3u/zk - ZdX8KI8veLrHJ9GT7LCwm5kJkOeJzpRnpQSTbRwpUtZ3C6OCWNX2WFNO+vYLmBtJT7f/+nm40udC - sOco3Tw7s4VkLSPf/Wm5w57UI/oZzx+zEs3v9FoDO3F78qMPvn40AzfaDBS9wn2wSNq4gjFN18zA - z7hihZuO4HVrGTM++gSzGHrGb/7n3mwVbapp3SMseArRxntUbY7diQIzT4yO+4EL5jgqPAiS1mD4 - 6DYph4ezCenmlWBBCMdqquxHjG7Z5UH8UNDQck6RByR8pXQaTCdgG7evkbm8eTorRd/Nw9GMYLc2 - 0q++19N5blY1OnGyzAyj+rhffXOQx0ASGK7jWzXdubgAeAYK262Pmj6OJAU4FSj/9TfLYj57CAXB - oECUW/e5okMJS9Mv37z05E6TJJeIx+32q58BzdPr4sAPP44X54mm+R4XSC3olpgf108H9V2WMtPw - 4Td/mVFUlXCa+hMJGt5NO1G5lvDN97769aF/82gNsnvpUTns+GXMdMGAmUUmceS0dqeGeQ667OsV - XVV12f3gKdAhBKak+001b4iP0eEqNATbAteN19VkgXZjFn5U9NL94BnsVsGbqPJl0z2ZnQpgNl+/ - Vwij++5dfPrNt775SkVtZTLByF5r9u0XdD9+XHokO8LcZHtGrb4XDahRXlK5Qok7J1vDQD1WXHbi - BzeYTgfdkH/6d9oa3mhcLY9EflAoCa6fTjXSrp/R9zuV1ePSTep11OQv/1DuLHgpx0fz4Tef1pqz - gBa9UiioNQTEv4pON9ELjpFhFQULEzHUx/GGc+mbJxH36x+/+Y4l/eptp8z0gjObEMl088GbZD4t - YzZLB/TNI4j95d8lypMG7m58/vp31o3Fa18DWPuJffFjma7XswaV/MmY5Uc4WGSjf8FkvTGepCNB - ba9wCfzke1ezkBFjU8ZBodAKR9vEXgaT3jTYHZHPHPFoBvM9e0nwo6eI6Ur6+C6TDZhCu2Om/DGr - rVTICYqtjhHtvB66PjtsZhj6k8tIb4XdNFwkDGPvLcSMpYc7o91zhLW19amAL5HOBRxKfv0QuqtB - 1x3r1wY5O2tHCD1o3Xc9Yvlehxazmu3aHYc02fz247hib+uj18oNiJZtk8tP3m6uTzP60a9mMs9L - bxyvI4hisv3ytxssRd/l6O2sDsQTV+tlmtwlBBnjmX37dagXHJRAPh9fRP32p9jt3b/Qa9foeK2p - WTDA8InQpR59Zg8PEoweQrF01Lqc+EPgLfyIHiHU7YfS8ZvntWptS8DnN4ntPrPqDvond6D4NGd2 - Hd8bfV5Sz4AR1A0zm30U9JjEDTxe7ZvoYmB0fObnFlTPy4N5aSi6DKpsA5cG88RfNQd3GEzI0UnO - eHK3w4POovzUos2huOHR2ThBr7WXCCaRA2KVPAt+6018RjGWtt4+/Y5vipamzES1Lgaa0l7CoMYx - IqfH6ZFO3kU35NkXU4q+/cBJa1VAF+59+M1PZyPWlR89QvS6ydOFaacG2qWjxN6OLqo6VzJAHSuJ - Oc14Q1NR0hX6+tN/9x8+AZSokQ+MOAqaqnHo4xdSi35Lso5/VNNxLRooWh813NQSDeZy7krQR++J - Bd6Vuk9RUoBvv5xuXX5BoyLILfh+3OD8kXHVkKZcDsBLW6aJLbh0DbMJWMAKFeUZVZNiJhvQ0xIz - 6/J00HSfdid0UF8D0z9imS7vzQfD359TAf/5jz9//s/PCYNXc8uf34MBQz4N//yvowL/TG7JPzlu - 80+2+T2JQPukyP/+69+HEP5+uub1Gf7v0NT5u//7rz/C72mDv0MzJM//dvkf37H+8x//DwAA//8D - AAUszkHhIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f4ddae31ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:33 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '26' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 2d29bc2b55a13d2ea971d75d68470736 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Grocery list: - - Pancake mix\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '268' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOQU8CMRQG7/6KzXfukl0XFu3RYOKBI/GgMaR0n0ul21fbByJk/7shUbxOMpM5 - w3XQsFsjdoi+nD91j8vVSzj4arH4rJerr96F/fOpfWA5QIE3H2Tl15hYHqIncRygYBMZoQ66bu+m - 06adN43CwB15aPRRymYyK2WfNlxWTVVDYZ9NT9BnxMRDlLXwjkKGnt4q/Kev+F5BWIy/glk9Ktgt - O0sZ+vWMgfJfMrEnaJicXRYT5DLIQShc5k3RJ7aUvgvvshROaHAnF/oimmDNjorBHScYFd5dcHm7 - TmQyB2hk4QgFFzo6Qlfj23jzAwAA//8DAJETiNdCAQAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f501e8b1ca2-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:34 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '1117' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89462' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 358ms - x-request-id: - - daf757d41dab00dad20dbd126178c4fe - status: - code: 200 - message: OK -- request: - body: '{"input": ["Grocery list: - Pancake mix"], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '106' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6WROyPLfl/fcr3npv7a9EpoT3jklkMkFwwK6uLkBEkEGGBMip89+79Dl1uvvG - C6Q0yd577bXWzn/866+//u7SKs+mv//56++6HKe//8f32SOZkr//+et//uuvv/766z9+n//fm3mT - 5o9H2Ra/139flu0jX/7+5y/uv5/835f++evvNJie2H+9X1ELP7cYftp8R2CtoXS1tuEbPsJmJtuC - pcMy2RMC16p4URNJTbXKouorcVm49JGezGp97bhQnvd8h63XACo2nZ03iL3bHm0ot3pr6FwI3MGr - TDa5PhvkpGxdsErmQu3nwkVkzzgL5h8iUpTDwmPl5uxDWgZvnM567S1hIobQVbwByX6L0wnQrATL - NPiE6A/IFj7QAyiPaUEdh69YmrmbETarVmCrmcNqMBYthMKljrC6/4ygp3WcyCdlINScaADG/Hm0 - YWnEBPvbC5dOhShzgIhHgVqjXDAaQ9mG5XnvEl4KCCDd6DXAeKka3p/61Vh1EjQKI9YHCcFON5ZV - CjZw9PIr9bWH6y1edMght7TrtJYoZAv2CxWGLUmxfzN4jxSiNEP1fG/RojlaxOQKyBABV0HgNVG2 - dJwUw7tmJETw9ADsjpSNiiP1FfZV/+FRTGseakNFsXsZrbQvfen6iyfa3kuz4j7ya4TXhyGS1bvd - h3mukwK+gkanPmy0Shj2yxXqURpQAwJUEffqiVC9vhlVi+Horc98G8Jm1xdkMxI9ndpq6GHd1AA9 - Fl1g9WHe9rCVgIoP7vnKJn9yNvBCA5U6ClC86eCuPrT4JKGefzBAv00CXVlKoiGmpbKxMpaJcJWs - hXw+WDNG9RGMsLiFE3WvRpWSqIoR0JaTSrbc22RcdAMc5NnDQJtda0RjclJ7cJPACaM2RB57XB8+ - +O230PIazOvECtAezDO+Sq0H5ja2EMSecKd+ugTG0oxxDF9HcieSDxmjj77IoZ20G1JfDltj3B36 - M4yYq5I3TA2D9cNmlmYYnLHRm7uIbiyDgFSXB2xJAWKfX7w3G4Kwt1d21WIuRgJsIiXYfC5xtR6C - LoHAaGokVRlldD/vCuDvpw6bk68AFjpZBxd6ULEtXNtqOeHTCupNeaP7Nth401bN32Di3Ypige8r - yscvFwbCNsGHA2rYdP6opWJseA4JwaHzyJX0UDab8UI1CXLVwCTPhOCaHcn2/JgGwpkl2a4naaLq - bfNig9/rV6Vz2wytT1tnAhRALG82I8JuOZOUgELIIXcurnQvR1PEUtuHgCjBgHFEo2h+9lUPcU41 - bD2EZVjBTifyd7/k7XrjsPRKGMNXnuzItlc+FcEbXYSJ7ZT4yEdvtnaceIaXBL6RoIRtxJyry4NP - m+3w42M0gFyGxQe5uC2wUU9iNCf62MOY6xOMLg412LH1OahodkIfW38PFu7wCiC63CcksMH3Zjso - S9DM7YiP+2dZraWWcNC5FRG9ebBgxLlrMfRQ/URc2pyqmXaxCt3CDLClpDtGpJfnCw8URajbil61 - BLsnkneksLAm1beB3xOfl/3MD2gmTEU65u0iw+YNTWpoaWIs/rogJag+GyKZCQaLmIclbMpVxMel - dpnQVZcZAt1dMJLMOR1Y35qQK5wNtTaXms3VwfRhe/ff1EqW1/Bbr1LfLhHZ6meSTlot9lBOqYnE - Dx2Hib8sBXQVZ8C+5ZkGVRwHwSrd9GTzrZf1bW2uEITCEXvuU6rWy1Lkyn0wLeplXczYdNbeUNAi - Advxua2mLuFlyD7aDu22sRnxv/rl86dL/cw+Rkt+vV3BF98ostnL61c+iWXpqs/U4+6lN8kNK0Hl - HHTySdQUsJhcXVBqUMYHwEfGUq5bHtjHsiROIg9sPkSdDvP4ZFJMFlZNyZbokKv9FUnPfQhY5KMY - xMifEO+zz9DWDzn4nQ9G9/PVm68DOyt1jwA94LkH7Dq8ExjuGw8tZoPSOUWeCxrqCUTQ8JN9Lo9r - CPvk9KKGcnhXcxrJMYzu+wjx7KEMU7x/mbB/yC+MScJX05TNOby4gU0RFJN0auK9C8vb6OKbOzC2 - mrzUQDtbXIrpUFU9aBoCtlxSYbMPKzb7s1rAjR2W1CacUS2lq/YKYNWHdNnwrua7d4rhK3jrOD83 - mceMsg5h53gdWu9OymhsBwT84uv4MALM4OdCKS6chN4TnQF7ZH4GHkSh+HBXHW9eOjOE1ThY2AgO - fsRkmsSwCa2M7qdGj9bL44F++UAmf75XBOz0EaTS9Ub30ixHSxh6hVzY+p7MP3x9acWoFFKs0MfH - sNj89lkOx9FeMZolJ1qf7aiDqc4O9DElBliNuuLhLY01akRHaLSc+ephw6GRtC+p96pBMQu46TYb - tAnW1RjDRDrDsydtkcJHJth5KedDbXO/YRtM7y++eomcXVNGzfr9AWtdzBzYuVCnltR67LsfHyYr - wtR4lUu0ttSxQCrIFTatW1nNkF7eoPONAJvax67WvR7b8NMY2p/+OpOymJXN9XDFxoO0EWs+8Qzx - GlmEWx8uWxI75BV5e7L/1Cszu3MJUaRI2FmWvfHWhwJCKdhCfPye5/IotTdwgHVD8LR5epQ8CwsG - HVnpPuUKg0YnpYf3zs/pNz4pO/mhC9/Px0rtI4NpX6dOA5U3ycmUdtowz9dNAb58DYnZYA7spd1X - cI74jMjBZkyX3QZmsE42EXY2u8lbyZ50kDi6RzYH78qWebBHKGn0TPrZi6rVcacYQnlYkDItBWPp - tdvA9rbO33owq5nTmAnWD+9g9YEKbyqY8YbHl3ck/XnlUyZ/KhfE46SQWGbnar6RyQLf+BH5cDsZ - Y/tQcjA0eY793tpHNM0CH2bu6hHxmD0jlt2TEShCY1FX2pjD/Du/fbw//vjcMGe17cJdDyxSkLAz - vvUcK7/+ur/sJG+UG+4Nr/4tQyAIXbY65saF/UN8kWJ9YGMCnzqE23TpsXt09Wj1JlWGhdWcqCmU - GpuaMU4gm2FIM+BO6bf/cJAQ1aD+O0+jeSehACjC26KOfIgMtkL1rXzO7RHrF/HN1tcOBtCebxj7 - RcSlVFH6Hv7y0Xa2a9S949MGltfw+odfLYW4csCBhYdPVUcidn5krowsb49/fHaUPrL141vkVJ2W - aJEbUMJixxQibsWhWpP9OYSCdR4ozjquWkHTjJBfNUzRrq1SZsFMBTfx+UBym9vRPKJPALNMTqk2 - Ndaws2w1A1fOV6jNZ7eBeO29B14oQ8I9jc3wxb8E5tvMpt9+m85C+uEgWxOLauHRSXfpvWhgKMYC - UjaflS1eCn2o6A1CDMPaWxh0RzG4Zy4+2vU6jGGyXKFWqjHeXw5bj2XRkMOPRms0iEff2MnxrYT6 - aZsRgRZ7YzUywYLGHHww5o4tW7wIZ7LT+RQ7wyZiQyd8dOjtDB8JHxF4Y36/yCCoDytZcvmcLnKO - VnC+BAG9SzPvEaTZGUybnBItPH7S6dj7OXi+M430u6Cvlj0vd9DybxPaRvE1YqHaiuACBvWHn8YS - C3sd3A5WTY95CYa5V08qwIzI1PDQYLBe1U14rg4mtbB0j9aoin15jseA3rex6q0InFzoXG4HYh3d - pmLsveUBU24n8lv/DOmjkfmjcf3x32hZ7hSBx0uI6Z7ni5S0icLJXuvHFEeaFFH/dWngJ/Lu1L0m - arT4bUhgluiMemWgM07C2zfEgc0TciAOmAKnL0BYvzDZtDvN4+asXuEDnSLE6iuIyMaIVKXamDK+ - fPXNdIC5DebLISCKuXQDbfA1BM1cj6Q8yP6w2AdIoJEGM3XMhLLFz2sI9tvghC3Ou7ERr00JWIo1 - NJvxlg21Q3XYLZpDPHxkw7rOlQ1APe5Qu28gGKdTqkKcTxrZlqY9sF1g23/0oD7LtbFekycB3/zA - qKfAGznozXAwzwj/fm8y6rcMd+Ik0+NYMNBB0b3+4Tv5t5+sl6XL/ujD4yjMoNNOTQ7Va8OwrgSR - tyhqeYZOhyjWdigZ5na853BbHA70uLf3g2C5ogWVE89jjROUod8qz82PD+PnvTSHdfRevXJ93S5k - 9dRsWI0hMpUvfiOQdSJbj2kbw8zcblG8dtOwCnHpw48aLWQ4oLKqf/wiT7IAn068H02g4nX45jsB - zXvrzmqsaSXYu+GdHufzgy1u8BjBV18j+V4EEX1NViZ+8YT++NOin5/2n/5/XHQBjC+RyXB4bnf0 - 2LZrNf/q8bjLP9g8O2+2VP4aw/fuaGDd+myH6R0HMhRMWcD262gPY4VnCIUuB6S39160Y1An0HfX - jCjzkAASPgoIbq3xwSrPjQZTOEWEoiMwJI1FbBC1sK/wdjBrfLoCI2WqzZdw1o8dAqSZ2aQVTgI1 - dxehzfAZPPq+3P/gNdWXU+mx8yC60ESHjBoY7j1eCFcIo8PwpF52SsGqCDCHH9E7ofdXT33x3wae - IHJEUps9mJwoQtBE+4w6NpLY0lHdBV98IoIHC/CnPuVCfyEGeCGl7C1w8KvvCbAGPPzqBZRi0hBm - FYvRc5LvwkEXE3wMY6Oa3SgLQEZn48un78P008cm93KQaHl2ursqtgr9UR4R/9WjAx9/XPjVk2Sp - Tqdoco4VBF5Vx3/0rdDLyQpSLRewGjsfYz6f+fPv/OhxNy9sksd+Bd5O89FsUsg+61ZFMNjbhHBa - OFRrLHgQxM/+hdUoaMEaYX8DS7xMFHPv9x/+Db3zdf7mQzis7FD4CmhlDZtLlYBlrfcEdq/5heRc - 56KpveAetkqp/hd/XVm5wgfZ0j96crUPrFPebYwpFqLb8PHXxYfXkNujSMlf1cJpsvrjY4gNFz39 - 8tNc9rrep3tneBlzigwbqqfXFqtR+2bsdBN7cMxPb6wmIgDL29x3MD80HfWI8WCTRLsQ1p1GqXnc - XqvlbR47eWN+SrSpDgePyTRMwCF68ohzy8+wZtk9gC/Kf6ihjwdjvRZoA7YB//z6H6QibzxYUDC9 - J+K+9TDOg7b++DJh+qU36Dq9Gzhp9kD1k9sDkt2jGWrUpV897g6L18e+DN6RRnboWBuk9JcrkJf8 - QrYkuQ5sXz9VkKw+xrq/NcAov45XWd9VBXm/7iVYdvxhlG91vcNGuX+nzD3mFpzOekTR6bI3RtQf - S7mw1T192BAPM15JCbjIKqlxr9SUN+qBBx/1tOBmt28BEfEug+t7ueAnBp/o6w8UsB1NH6MEWd5q - do8GmBp5EOlbD7V9jQlkQHoQ6dnVgJDT0Yb7/bEmu+41pMvolUSZhOZGStPSAdd9Ugh/5y1se8Xr - vCvSAWCvD1ZfumvM8UAb8PNDVMH7/M7jDOZoyKjVHnD1h48vXgmxW95P6TpPUgKcZgVY2y3Hge0H - K4D0sT3gL56BeWX9DFLpfMNOqPVgsE3FgnkqmlgrSZ6y8AxcWBoJwT/+P0eh2cCfvuPc0qmIWZIz - /PIBbOB7aLC+wcWvv6LdqQ+95cA3IpyWPcVqfT8Yu8BgIQzO6RUf7rfGaJbnJYY4POs0SMQUrLQO - YumX71cl3YHKZEAFEphVfICgj1ZyX2TlV2+HB6mMubp0/p/8/vlts9iqV6U/oj0SmvbtLT/++e0n - SM7rQyoIl6qDbmqkf/wzJrh7F6qnaoudKzUBlwVQBl//lGyF6FaxFdpvYPRVTLVLf42+eC8Cy5Uk - 6t1vL7C0l0MHrQd7Ec45ZQN9aadVMUXXoToBD9aaz3aG5E5aJOqqlq5h6OZwCD3993vp+DgKMSCG - cqNqPZve9OVXsrIwGe1UPHn0BcpMlgIFYlQdWm9VT+MZlHW5+eG/t/78o2bXFQR8/QDSyxH36980 - eOmuR59T6IO272LsXHZnMMsNbGDbPX0ii9OtWhI74aD8sEW0c2zk9dk9WuEylztsRq1aCRXudegn - homx0HPDjDX3j97CnvIpvOWr1+Vw//bozy9l2JBs6YphhrVNT6puIEIGdu5GJ7tcnr3lJusFHHQ5 - QQU0+3QqXbuHVmltsE0e1tDlby6Bz8CtKbYGLwWTd+agGJwz6mx91/v5XSAUE4HIUnuoGC3vPPDq - +U0PBIsGsaXnG3Qna0+d/BaDmd6hDrVRqbAzOsCjWuKHkHmbO3a2sWqsB1eyf34CdtuDF816vRDp - 50+CfrXAclVUFbI7O5KddFeiOboBXhLt+5ZsZo+mrA6jWd7tAcLGl++td/u+yqOXXWm2HZd0Di+u - BUC536H3yh3YoiaJDar7kmMDPOWIjfZgwuvzaOJv/I1dGBoFzJuDSFWTZmB+RKQHpyWkeP+eXum8 - 5wEB7wK0CJw/BzZDo5PBcFF78icfxMs4gtB0bwRGePRIql9XKJP3iNFgid4qmPkGtgLlqDUTF7AL - eYnwpy85aFoGm6f5KudXIaCHu/oxyFpiV/ZCEWIM6QCIogwEvkXOwG4VadF8E+48PFFOpo5jO4xX - C/WqEEf1qK60szfuuxuBsp9n9MsP2XLXqwYI4FyRtgxaY/niJ/DJuaAoqStvNWHBQbpUPtZNqwSL - n08QvPygxtF7u4n62q8bqI5XA/vudfBm5zUHMDp8nvj8XT8JVG6Eq8md8Ombf6v+hA20WLmiNHrP - 1WJKsw0+kXPHmua8fvGa4bu8pdRRmxqsUVJlSh/vJuyjyTb4Kxf6AMFmQTwN+Yp+CBf+9oOP7YYO - u8ut1aFkODZi3/V95yehUjSvC9bpbgL9Bi3FT0+gBel6JETWzYUfQ1yo1mZxOu3MYf3jv1rs8ajm - Gk8+n8yaQd1d4A6zhIU3SAWxok6iAkZSPV+B/exWejzl0bDuiclBdHtLVDs+abRykm//9Ct6I8ka - 2F7qA1AMjYNe3YsOc3Kye7hqxxNRnGgcfvULpzo/IDGzl2EyEiuG+3m0qNX5Dfio516G2+OGx6q8 - jYyl2uTXn3+KeMYlA4uSMoFnISkwnvWCzXcBWTAbHQNJBwFWf/Q/ZqOMck8K2GeV4g28Wxai5sod - wBdfVFBtLJnuU6sxxl69qzDFUY8t87QfhNGuLOXnT6mC53jL9vzhwdpsXnh/pR9vvSNNVeRVdGio - tIE3pvdPD1s4d9RcHz1j6H04Q69FMdnJvZtycGfy8P18rmiToMajV+5u/+GbqAGLwerY0KG7ooIi - +rgYbIPEDLD++cFq1+ce0+tyVW6SdCLC1/9bhFegK9bzeMGeEhoeK150A831opA5LhqP3zhuAD3Z - UtF63pwBrWNPl3NHz6gvt0nEODeWIVetG3r8zv9YN7olvO9O8m9eMTDsFDFASfai/s24eivTRAiF - ux9hvdNMg8DxAcGXn+IDUVaDRGcOSV9/96c/U+amsgnffC9Q9dns2AplaQNTfOqxMaOqWn7+rHTL - 3+Tr/7Lddz4oAXVU6NHWt8OsqFUMe9IohCMfFfDfeZP0ka8Puj+Md8Dm2mtgbZsDNfkt+q/+MtoN - QcstLKJ1e+5WeD4NAdbZR2Ar0+YNnDhCqV9rJKLowzewHS0fH7eVDtZd4PjyT0+okwa8gfXUkqKF - +PgSatRb2mro4P3ThxR79zoao9B8w5ihhqxDHgDhUnkJPAfHjLqjOlarLd0a0FAJYwtLUjphzSkk - z+jP2NMLe1jGPcsg3JIa63ZnMf6OHB1GhKtwZDmcwTJ3Q+SHeFYprsW1oqX43vz8HWwWzxDwXnvq - oZiL7be/cqyT0qsJ5U8lYj1POvDT24Dju+brt63Dn37nmyeObEWgMXY4yA0Aur1Q8xNHoD+2Rxle - NkVHXZvV6XSHXABvrfb5zrMe4CPHtwJWRXDAl8MogaXy5QR8+ye1heth+PqPBFK/igj39V8XtCs3 - P//tt//o8/MXB3VChEaUpYQ/ZDms3ILHf/hHglwLfv0ganz12pJImxV85ynU83OVLZVITSC+VBFH - 33kjqcLurSz+ZiZjKGJvTW2kyt/6+ePXDQYvFpCtsUW1Ez+mrHLkGX79CzJEYBq+fiiEq4ZPVD+9 - DmA54fsKFbQ9Iv4yugPhL2IO8bT9oOr2vhvM2tsctPBmwkh8PaLaqEf5z3zUi95BNcdbmYd9sbo/ - f3jgR+/TwW9/RuKeG9L1O2+GQtIdMMZHHC13Lz7D68ocBJF7MeY2Rj4YE7L56RFGsSG5MF7mlR4O - yAILucsbWJ4PLlolZnms2DGk/P27FfCf//rrr//1u2HQdI+8/l4MmPJl+vd/XxX4d/JI/s1x/L8p - /+cmAhmTIv/7n/+6hPD3Z+iaz/S/p+6dt+Pf//wF/9w2+HvqpqT+fx7/6/tf//mv/wMAAP//AwCZ - Ns2n4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f584cd11ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:35 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '402' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 2e3b8bc78a0fc8530fe3f5b340fdc35b - status: - code: 200 - message: OK -- request: - body: '{"input": "a grocery list itemizing pancake mix.", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '114' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6Sw+yzLbmfP+KL9+U3hERqcWecRcBqxAQtdPpgCICInKp4nJy/ntH353T50wc - AIlQtdZzW/Uf//jrr7+btMxuw9//+uvvV9EPf/+v77V7MiR//+uv//2Pv/7666//+P3+jyezOs3u - 9+Kd/x7/3Sze92z6+19/8f915f8/9K+//i6kUsGi9qg6+umforTOwpzykW2hybyvIzj6RUoFYxm6 - SRU/HLLd2mXa653r8w4eADW/+TBF6t6o40Xf2Y6awBH8mBd9PsidgK4km+mazkrKX+JjgBI1/WB2 - 9Ek4pzguYGl6SjcxeSN6KbIZ1f5lYvtZ6NzJvMsRnGtuSyzrM6Tjg3gZlFps4jEvP92iHmwMPmrv - VJ4e73KWERmRaMdXZpf3VceqjwFwkA4vgjfjlDIT7zAgJdxhtJGe3XC43HhJfPQXlpHQLJvwuG1g - 99JtvPGvjbuw4yWXBL0q8ZSoZrnMSq+AWh1LvD3FQ/imsV/Dxz5l5CDV63JJjMQCinMPTxf3hT6H - ZO8gjVPvzDCPcTd/HFUCoss5zh/qZ1ly2fSgKF2V7PwgRtN69apATpiAt2C0JdvkmwBuEcow913P - kQehAm45jHTuRZqO72b05GiluUR9lKY7sHutwc1yH8TlRi7t21BvpPAuHollFaCP9VsXYYZsomst - ndP5Hdx7+KiXijl1tgs3xXabweA8XLarurrrptJTwF7hHXMcfp+Oz3zFwbO4eYzIuecutoJiSJ/0 - jfsSEGLN3Ldgv3mbHLFchx054wz4W9QyZ3fbo3EMOg+Vu9eW7d+zi5qk8WZw8EHAvPoSliXog0pG - 1NuTw0bdua+mmnlgb8Vit6N3d5fpI15Qh8eE7ejB0tfRbFdwlW6U7LjFWFiub1sQUekTMyp9tLDD - RkJvQxvwmty0TnC7MYLmcC7IHgynW3QIW+Cq+8Rw/9DDaRkkA8ak0Yjbbqdw6MSkBew0LfPmxdNH - M7Z8KJbKovwztvSR2FeAMN4dsHC69iEb5LGFw11uiGkbeti/jU6C/Y2aZH+j3jJz2zxC7vrBiHbE - fjj21caBEkRE3P11KfsrqUS0VnFDNPoGNN4yr4GtwB2Jg6+bpW/XZYPGPAJsUN90v/2TQ2F2OnMV - lw/pIOxrhKphRfarj4jaOb5JYAt7jdjNPIYfBa0p2Llu0Ke+3emzWmwN4KrHRLf8cdv1WjcLqzgO - DGZ9OmcZ+7rMZGuLfeJsLlYobOSokIQgLvC712t3BCJoUJ9PHdOOu4c+ydfjBXIBE9wf37Qcsm1Y - gC2XKiGf3S2d6/NpRvHQ6ITIfJ/OMvAGRO/GYwpWtuXw22/J6xyic1FTjuWlsgFWkc72/TbRR3Yu - Azi+xYSko7LqhiuPJFQuG4EY8ArK+WPfa3ggHBIlv4nheEwON5Ck6sBOcf3oJqbOF9jgKiP7RPTQ - DAoRUbReWYRY72c57ZJPBSoYbxazZ1sOI0g+ZN4+JkYTRno/d7oBesrleLUqk2Uma19DVb5bqPhY - aeFsTBcB3fnlTMVMO6brSl4ccNm4ZplPI/fVTXUAVvE50A3amfpYTYYmh+hCcAv1CzE9bzQgAXsQ - 69ZK5dxtTxGcaSwS4r65kJaN4wOdBoO5L6dYlupwjbYPDDHbiUK4UBLro4zPrKSCJkDKIs6y4HU7 - MXq8uCZatpcuQ0b/OdFaTPfLD88BX5MPU4OCR3Q53gQwkHAlnvDolrEN9VY2Bf7E1HVXliN5TSL0 - jwchB5M4yzLS8SattISnK7LOl5EmKwXsNZOZJliHcrxEFaBTGtiMJGc57ZtSdNBuVzqMPBksvcPN - GPm28qTr0bp349M0YhTu5hC/5JTqi3MNPWlIRJ8ZDX2VYyZeeHgd3iOV0lBADXltJbh2lNF5vbql - 1MvOFSzO1FEu9peODse1D8fz44TF17Nwp0TIPZlbyMgUlm/SBT+tGsq3p9F1l+SoTcO4hrVdvRnh - XdQNl9O7lS6JOzKDY3M59b5UwavLly/en7rZ7cQICQ5XEFdW2fJJIhvDxRUERrTcDym+iQ4yKvVE - cC3M4aisJQ6iy91m3jGkKd08Gwmid+v94a9FcVNJijPRYI8vP05upQYyX+gVFY41CueB3T10Sn2b - BIfC75aDGXAAgs8Ro63MlJq2cUMSjn3iaVyORoXHDWqI0hCzoZy79PmFSmx4Iho6fZ8utX7EUC+v - hujnR6LPlyIe4eLyAlPX1Ryy12vCsG1wgPtR7sMZ2XkN8dDqTH1szHCjsBxD+jFqCquhc0cjxRE8 - 88li6XzR9Nktzy0IV/okh1AUw2GtHjnYROGFmS8tSz+ovBZQn+eRitujvHx0by/AZEw8nsPHsxs+ - D2mUtg6NiPfF/yqttgp0c3LGvC407phFRg5LblBi5IgvxxvqK3RU5xsjq7Z359s+viEji1MsZvui - nLkNKJBetwUjmS7rc4geFirEjUQ0wRrK5VDjdsuGlUJ0byctfZFuRPjqI6Juz2U625uHCJ/z7k6I - Mj2XKe0bAxJIK/xs2jAcZj9w5PjuccTS5EPXO88kAM5aLYQQysrG564j2CtvR06B9FioUOeAYkg0 - Qg4V6eioyRYaP4nKnCldh8OzeWtgiZPLvNt5KFs/GDXQNkbJTNoxvfYDUYPnitvTdcQV6cjtCg9s - umh4fedWLtuZKJGYItrM3t/mbjpaigi0TByiL/7n3/rhy9/M8eOPPmSbt4e+fIsFybmE47O6VDAP - x4Hshjkqp4EmBcRTt2GGuA2WOV/HDsKN05D9e+6Wd4DnFrLn7cpUk73dRbuTBG3G54k4XrsPl9Hz - M6jcRqISe51SKiMyoy//4Hkva26/r4MIiijV6DMdI336oDqR8PXyYS4yspKGsn6BaxWPxCVx1TG6 - 8QKQI6xibpfz5UzOoiGLCiQkPpdeOpxL5YKKSthh9O1P2hafGXbUOmBpvVvrS/+6zEg+NDIxD7WG - 2F6yJHTeZ4hpcwglpfhTgJKUDfvyc7d8hqqC99GsmblybiVbn0Qb7bubwexMO4bz1ucvIKyEB7GT - u7YIU6FGslxwClGbNkynxqQ14HVbU240JtRqZ6MFRdRrKmewKdsdZwToi1fEU+2nPrf6KZdYf5QI - js/GQs9uhxHbrTXiJkm5jEW6kn79g5fTrQsXrtCdH94zjfcPy7c/PbAvZEXFjUDS5TP0FbpZVYVP - XaIs834+8xDfMUfFdr1y5zTMaunNvUrKb86hyx7VEElffcucXnm707YeAqC94jAvEgHNC4URDqdx - YLawUxC/zQQMT/1oM/PjK8v6u/7yUWiuWLA+h/TrB3iEAGyirju9+1yUPIGj0F6x1Dpvd3KtTwwb - E7I/+om/C30B4+W5YZqlr5Z++2priNTdHo9weJcLI5UHvnVK8fStN/bTcyuuGYn5FNVwmE4BBnGH - IrpNprSj96al2+/7sGt2RyHt7p8erhY/08LeaelYCoYFo5EbZG/caNif5SkCy4OQ6DvFK0eHkzxI - r6ggeh23aX/Tjhpwu0RkP702LwsvoBfW1mz3uL/1ZdI3I3SHXcR2ubgux5ZufET0Vc40f8nQkG0Y - RrHiWPThvrPwDx85u17FbbYSuhHF7UUCIeDYDoqwnC9FNkq4Ft8su1hLOVwyJYYvn1F+mY1ycosb - SNxQCMw1hwVRJ7xk0Mzti3mXCsrluk9skCY4MLvPRnfAOKIgZmowvEZL7uaX0mKQt5JEuUmaysmD - py1PRb8h99Q/L+35o9twEa0FT5q+S+fqeZLQ9eT2dELWcaFffpDDuAgYGR9oGTeNEEt7CetEK0u5 - rD7LKpbWtfUi+0lxw1nlegrxrjDptK7mdO6U/Yyq44nHa+U4p9R3zhEIG+9BN6V26uZRkw0InsQn - mpZN4XR88gVylmJLvOJwSOdLpRvQReKVWLK8T99NPCkSPUke0wX4uL23HGYoj5ZB14G0Wr56sUKn - FVN+9afTrCxaeN1GnmjrFaR9X60caa7jhSjqoUOLH+AEPNFnzJMMKZ04cgxA03BNrNvUofaRtTW8 - umIhh6I5pzOWfEvOPDdmu0d8QkvX+rxsXz4GfmLhpI/VcTMiurMPjNja6C7mnObSeS8pzLxzD/eP - P91MS/yHP+vTlHFoeesNnTZJoI/sxHHIv7OEOd/3H+5cWP3xt2tmKeW8eeYSOJgI+BNeb/qURIoH - DpEAj5Ut6uydGDOIL/7MThGnhZvr6zCD2Rgx0cMlCRfo3QB5T9bj59YP3Omrh4Bdgh0xatEse7XF - OfJ7KcPnqrNK/ri9UoANGMzcMpoOccX4Lb1trO9+d+GEymsO/eNOMFy6wzK1Qh1DwhktOcX1qmOX - bnYA2YaLEX0d9UUJ7AAu7nWifHvnXQp6U8Bl7Hmm1vySMuRtNCjlSGFJSu10vexfI9wqq2CeVZJ0 - /OHHXsxl8u2/7luv4m+/KJ1VbZnOHK+g4XpwGDHuz3KZM52DVVPMdH7lFE3zLDmS8epTLL73j5T6 - waj88gEqnK5eurmtjwJ86x2v0Abp9HrPKBrDQMd8e4/0WTo0DbLzbE+0S80Qc0c8g//KH3hkb7vb - nJkpguYINSHJTFF3aU0BbqeoZIehj8vP4iYGQrbl4jINOn1cZfcZkW1QEDNUJ306dZEH1vPq4Q3e - NOHnuLplaNenO/y6xSpifKTzKH9nPv3ibzhG7TWX1qR8EoxF3l1mpdJAVLiEgmXLaMoHZknFPdsx - Y30I3emeowakjsf0o3zkdI6SLoHbdkkpXZHCpXrg1b/3x+sv3k9Sc6wRru8Fc6ai7pbryxz/4IEi - VULZHd4SoG/egcV++ywXgpIRnKxBuJYF0f19P6L3wGUmHyn6dD2HAFVeiMRu1yt9RHGRSIsuTMT1 - RSPdtJ4ogmpNrx/eoJfzvmtopcqMmeR0DOv9fBbAlCdCbM0I3cUkKN+ih2rSVdzduxnZTYWsKArZ - WRRCNO2EE94qLTd88ZlberEUArhKGSUmnfNwVm8eRY9dfabbROyX/t2MGBatGtkund7prF9EgEd5 - JXQ5jl033fW0R2G09sh+OEghPS2uj774SYVTkLrz4Xou0Nc/E3WTBO50N21N+uYrxNuOiTuLt5yH - zbZKiGI1ktsoPG7hvWk/TDsUY0llrklQue8NFhpC381ua2iokMBkWdMH6bznPQeZwtUn9dX09PG0 - 2+bb8mVuyN3gt2FXbKfbLw/BM7mM6aD3coGwP3/wx6pp2napnCBhxT/YzsTnjkouRNArwxEv57pL - l3c6WXLPzwFFnaJ1m3e6NSBbTQFG76hYaPjoMiSZvU8M//bW5/miYtTm6wuxNOEWTjdHMaDAoc50 - 5+Lp0/kZWXBJ9iPx+JOLFlxI0q9+ydcvIsqdbgrsp0onadmU7iRfr4mIHplDdt/67wfDzSBogxM5 - DL3Q9XPtaqCpy5PYbh2U3W19FaDSXmuG+0ugz/v5wQOsYp3g2A/LsSlHG2j3NmkTcIFLhQdUIBXT - npjtioQbTbctsMTFJU62EsqhTeYexkDRWHwcvG7yHqoH+aU/snRUHuUs0VuErEk4kj2St/r3ey35 - mw8x1T3W5TyLIMJZtjZ4+9Mb/d4t4HqqJrKrqlM67f1P9oevOFRq6UZhjQegdRoj83hwv35GAz6C - jqhms0YTF11jdFRPZyp/+XpSxSf88jgWLwcnHMt4I0hv7fT+5QXos0s+9Ta3Q4/Ot2uOqH90KewP - nMX2suSkXYDnBoLUPBLTwnrax2Aq6KMmFdt984vB2KmjxJ2GmTk7+1N+1OjeSssV2De/e+t9o15s - KWFRR3aBLXTjMd2OiPWhhNHFLxG9NwWFGGcrtluaKHzBeTDE/iFGLEg2qj6eypcDu0eMydf/dD++ - g648hEzLSgUNZvXs4cj8K1NOl63efvMvAE7iyE+/j3tdilFdF4zYn8MTLfdgyyP+FrdETzbbjvZo - 32xnUHtcUIrd2W3OvSS7qw2eV81BX96JN6J9PmyZiqwJjbeHCGA7sUObb17+0yvw5UdyWD67cn7d - TgLwh6qjslq6rvjyLxG8x6BlB3x33AnPTwWlATTEVk5GyZsx9n/8wNxQq0Jao8IAefIl5pWQonkI - n7Wsb2/ZL89KqRGKEqyO9kJs2oxuH3nb6t/rE95xOHbYrRAceQvLatm5Q3htevjiMd1U1TocX74f - o5OX74kRPE5oJPpRgmToXkTdK+tvfuXz0F4fF+aOuxHN3/6XTEE4YV5n8TLF1ZuH93FXYz7lrXAZ - rlX0R1/A+PF0PjGrEYYrcZgrGE80mYWcoMyrU7I3RtotypsUKIaLRpw1tsL5u//oq8/w9Chfeq/i - QESP+9Gn7Xq3dt/mnBawYvcez/R9Q3NyyVow8/7MLqPD0Jg0xggkGB6UXx9CfYzzayK9tpuBWbkm - 6d/8YEZHuo7I4bsef/L/GfT+3/piJXIUHvh5ZJrlTPosniCD86PaUnGFKaIN2XOQ+NXAdra0Ceem - XVdoB7xHV0q5Cvt6X3LQ10rINOtYpL/70sNER3Jg8htNAw0KFMmjQ85ffuh4tsrQ12/gLRlu6XJ4 - z/DTN8T/5lE0UM4erM9RTULV6ZfxfvVqOKrjjXi5PoRjJvr8L+/6k+cv0nFl/Pwbw64XpaPzDHxZ - StM9cZ+zHgrrvarAaxYXokhVXJaJ/GohE4XLH7zgXdEUQB/T65eP1ZL/5ZEF7m1ygNJaWP54+VDu - gxXt5JsarhuFFqhdvWJmR/mEBqRsC+Rn9oPcDrkcTvd8aeF88SSmq3raLUqg+H/0suovVkppe3Kg - ENcS2+WrGvWPvr+gaxWN7JDBuVye3DaHb36NufdRR1NKFAc4S14ws7zRHetBDGBpwg/l1kPRLaN3 - yZA3SiPmG2qWH0EacvQUa4cKBwmVFEfnDEym+4QIN28ZvvgINGpc4jjDxZ0Oyd7ePovMI3gbHPVJ - I/caPue8YIc62ujsm5cBOWgv+kquYzmcnzcLOdJ9oVKrr9FizmGOElWgTDuenmU9vveJdDJthzzs - vZpulscYyOKDXshBGmr0p7/B7XfkrH4+7mje5kY+JRudaZdBdcdfnnkyBvNXT+FsvX0K33kJ/Xzx - eH17NxrU0A54HW2O7iRkWxFMp7qQPRluIXOnxUDf+Q4zM+9Zzj+9ca9vd3JKrn433jKjlZO9NxAz - tLV0+OWL22sWEp2f9+6crbIAyPORUS5Ymek6bdEI6hm35Jt/dv23XtBjdvHX794W9vUHv/yFmd+8 - tt8d5uynv8l+iLpuiugbYB9ZJq0PEuomcRwuUK18gf7mjQxNeozobO/xFBT8Qq29OP705s//pxtR - cStIPeHDvF99CXAV4Mcn+rc/ppv6Tv7t977zCv4sTzHU/PpD4fPq0Yi22gXeidPRZ5sv3/oZA7Tx - 0IXts8rrxtq9BLD/jBwzDsa7ZLf4UP/RA/ZOmpfFuKIWvv1O4u98ZwzZsf7NL1jw5In7J09aNreB - OOvdSe/UtrHhq5/oNO4NnZX+ywK/v19JfArQv+c19tXaM/xMDX38XPQesmsXUeSWYSd88xc4dPea - 2fIjD8cNayl883VyCFf7bkyrSYPlrTZUMoMPorP08WAKy4Voh89zWcJ3UED+vvkkuAWknK7nlJPu - 6j6lMpN3y6TFKgdPPbTJnu9dl6e3MoZbtM3wvO1Ap1Wpeb/8niiCGKM/88lSjhW8aS0e9WVyuaHk - DD3Tx5WoDwIcBQjGS8TwvVn0YdrMWPatc0o5necRe0M/oqeLbLwiIef2idmPMHj2kZy9oUlnUHbi - H7+gg9N0RfgoM/jqEbzhlmqZc9AKuC4WIzqr9uVo23MCwInc1x/k7ldPB5Aa+EPp/v5C1L7733zt - 8MQXJOfdOLmCAF+/xH55Gbutjzxs0s+ZZN/n+0IxfDlybPxn/rzc1lceqUv2Jop3dHWWGIkBHVLO - zBR02k3PhimwzugLC9Lx0y16hnowr9GZRdWbTwd82lvwnQfh+rVy9XF5OhzY8lP9wydD4r5z+Plh - rUWy3gTxloIUqQ7T9mxVtl9/D6G0cvCY3y7phopiBY9ddSaO9OG7UQicGeKq5vAorm19wcUsQle2 - F4LNqdZ/+SL68YFnlSycEvddwDbnQ2ZvF6Wb0kMqwFYoPSyx1zr9uCtekv/+nQr4z3/89df/+Z0w - qJt79voeDBiyafjnfx0V+GdyT/7J88I/mfDnJALtkzz7+1//PoTw96dr6s/wf4emyt793//6S/5z - 2uDvoRmS13+7/I/vf/3nP/4fAAAA//8DANL/eN7hIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f5e18121ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:35 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '17' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - dc8b7dfde23854df1e58f324fdda5156 - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"What is your - favorite color?\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '269' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOwUrDQBRF935FuBs3k5KSmNrZdaHoqjsriJTp5KUZm8xL572qUPLvUlC7vZx7 - OGeEBha+c+qHsc8XT83D+riZU9hVwa++6peOH90zvS42bg0D3n2Q19/HzPMw9qSBIwx8IqfUwM7r - +6oq60VZGwzcUA+L/ah5ObvL9ZR2nBdlMYfBSdyeYM8YEw+jbpUPFAW2Kgyu6v95aaCsrr9yy8nA - dxw8CezbGQPJnzJxT7BwIkHURb0EclSKl3iXHU8kF3nm5BDiPms5ZcIDcaRbyVr3ySkoZZ57TjNM - Bm2IQbptIiccYSHKIwxCbOgbtpjep5sfAAAA//8DAH9kGllMAQAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f5f49ab1ca2-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:37 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '1431' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '89461' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 358ms - x-request-id: - - 521bb286058bf35b2c314a680e47dd06 - status: - code: 200 - message: OK -- request: - body: '{"input": ["What is your favorite color?"], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '107' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SWS9OyurKA5/tXvPVNPVUCCmnWjJvcTVC84BnJRRRE5ZIA2X/+lO9adXbtSQad - nnQ6/Tz973/9/Px5p1WRDX/++vnzfPTDn//5xvLrcP3z18///uvn5+fn37/nf2UWTVrk+eNV/qb/ - Xj5eeTH9+etH+P/If5L++vlzJFZE9BQtu8+JX0JYFK3IQqisVOinzwGobWiMjLbVzUTd9zAqhzPz - verWcbURIjjrnxADfm4QF7N3AwdUUmbcMs8UzBNYyMLGhAUNrRC9V8xHaFt4BEvPVzf75HqFy+1U - M0daD3F/knQNTJdxZvobq+LZLC2ArQOLhLhwg+m2bR9w17cZw6ebkPYVVBjkQ6hT4fJsU1o4sYTK - 2Hww+7hTYxbr7x6UZ34mgX8v0fv5PO5B2jsJXpH8HPRGtR/RQ30RysEv+ZyJdAQjGQ1823VWdcea - 0ai0xHc6FcMrGH0ENZKHRUvCHe8CfjAjF6UfoybbPIzNKV2fGniCfyL2eL6mnza3HoDPxw5Lg7GK - pxo9BNhtMkQ0N70GvMHLHtWec8Qy7e+c709SBB/9lDHDzHnHy442SP1MlHnCaVd9hIcbytvbxcFi - O5rpCjv6G67lC+FPVsh85nm5UEHap/itmDKan2tkoLJtcjo16FGN+r07wOW4EensyYtg1hplgZ47 - U8YDkxI+Ps+OC+YQmMzZum3VrhNXg2rjB8w6Fn3VnW9dgXIL7nSyRZK21jD2oOE2IGGnycHomFsD - oiLZkD23n/HUl9VVDZSG0DsxfTT6vj8qurodSHDZ110vsNMJstf7SOx2aKspWVKA6CpUWLExVByF - SYLo+E6YbossnUJFwCArwpLOVWVzEfp0DUReiJSnKqnGk+QZUIbClXjnweiEqOsTWJ8Mh23r+8nk - 3kWP0DStLIIDkcZzvqmvyDtOM7G3e92UKjFz4bA7YEbk8WCyXlw3kJXVjng7gaNxM90A3lVzIWHd - 9d1U33ANG+PCmWmMekW3MpdASfsBj/jwRiOx7hKIlVwQnKAC8VKGXhGvdUcuh2gRc33eRSCi7MLs - 7f5uDvWQUbCezovYB6ojSR6FDAz3FFBF63wukI8AoLhewJxsbtBkyecEJmHBmL67HdMWtkRYt9HV - wkJNoniuV2aNJgf3JPCYHUwn/xRBMc0h06q7hPqOTWug8SHE6mgduunczI+lVSg3tqGbJh5bSBr4 - bEeZOE/NiFfaYVPDbfYEYoTds+PNp3+ggzftyXa0hGpa44sP70Se8TKfFtXQRYMEj2hnMW8kMZ/2 - bW9Aq/aEaIfVLpjPcyJA52Qy2xYrO67z8ebCTjkYJCtrzKersKKw9bDGMN4lfDw2ZgEjJzHBD2OP - nkKs2PCIE0Z25ssP5r2VPODg8T3RzosknUlQrlVqaxr91L0Ys2vzCSEei5IF5evVzfCpbfR6L3SK - atE0xyCJ1ir5lAum6fY5GEiyNJTfeeFe/OGzqw4HMJ7tGQu8i7hQL65vCHcEM39a0ZRl6bSAILwe - iVPKVjdX5uMEn5d6/X3fiisM7H/6ZzyNdDL2mQRt4x3w9BBqTleoo+jxSly6Csls0qy4z1BwVcFc - SVg1jKFwAmznKjPUsYtrbMwJms5txTza62hoHkMGNwObFO65kwpSzWx0cfiHWJkyxPSQhwCboYxI - vDbNgL/LmkLf2iYLCvEUz4IBLspT7818xxGDSZfLAwiWKLEAzioa++lzAvtpqMS55BWf6f2aoR1U - I5U7d1nxxVZaQ7RdYIYFRYjHPOQF+Bin7Je/zO1ZAgiFIQuE5F6NTD9pKHziFzG66ZGOj354Q7NB - Gpb5KQ3mE5VB2TQrk4Tro4vmg/zB8DZoRwU+065zq/UD4VbeYqpfanNa45379zz4t/UznQ5MOYEQ - VCaes+nWjdMurtHewWdG8qmoOpqhEF231ov46J4jesitBZR5tGOXkXA0ZoFlwCyfR+acu33VZ5e9 - C+pwjJjNhpLT3/9gnswlnjNcB1z3ihO8tCWh1aukAX0t9AOSF8mdeJ17q771LNAZdhXTY//dTZWM - rgC7VcA0sbzx8fhSFIgxM5k+FD4fkKPN8PSlic7zwe8GyZ/3qt+VLxaK7TKYV6iiarVxA7qoBjsY - x3yOICPdgwSFKKVshmcC1pmnxNOTjFOTDBoqr25DCq0MuvnFEEZh/umI8eXpOFmgIPtd39jvfDK3 - f11hpcX7r2+qlE3VGiCqX1uirxTRnKO5K1BwoXdiePLCHJDjjrDgts1wNdgml135gY69FBNvP4Sx - 2G8WtZIvmzXzXdlO//bFee+YBB/NMp6+9cFrjgRizoD5YB15D9oz9kl4z18xF/A+g4diDswzdmJ6 - fwZlhqbzuyLOtF6ZPGF3A9x13rCNedwGkmprV1Q3lzvxiqhF1IoDBdLjzSC2/zrHs7qaMbyFzCHH - 8coD2uxeJcp1SSL2I5liKq4tCfpVQr58aYNR2w2j8vUrsZaYpNPHiiz1619m4vCRjs8JLeCYCArT - PtcNn3KkFuDq14mE77lNB+niXlH4Puwp714BF46vWVGeDrNpJyOeTrI+F4CFz4po9vKJ5mo3FnA8 - 7hK2Xe/HgA+rtwGRaFpM45YYz/lDa+HpCxPlg6/yXppFrBhd+qKLW/OOmVQkGvDrtiC4Q3on7TT5 - DUWpFMREO9cclCtVQNQkg6paa5jjnpl79NqlNgkZPlRj+FiF8BKlE6aqS1BL17cCre6BxlxEB3NC - ZNXCtx5yMJogmKM6P6yvaH+nnJpSyhfbhYJofAqJbpZ9PK7fG0C7B3comIaT8gj2J/XLI2aT19B9 - ciRmqBSODnPGSkM039TJ3z725XBKJ7+MDurVW8DXH1MwLi8DhqD1E/oIOhaM2FASdRBrj3191PX+ - 6ZNB1ykeMe+vZfx+b5ICPL5ZUATnHI3n1ViAp841CUXH7KZ417Tw9SUeipWdzvFKHtGvryzf6BAP - nmcDzo2V0X4xxQFNBC2CmNcBXWZHv/rlpfLb7995n078gpG4UlZ40UY0HeW8oKj2NkdinqWJU2Y/ - W/jyiy4NReP8qJ9n2OTWhXx9HvOFJAuIr6qW2JLXxVyB/QzazTJYcW325ugPTQF+ao9so74tPq4v - SwEFRtDQpU0qPorB3CLjUfZsU6VlyvdLOUQlRxHZHjbLf/gvVqigiqfVAT3RCeSr1vqUc7PvOu/i - 7dG2WZh0BQ81GAeezIhIacw2W1vp+sPcushO3DcLO+0SjIezeoJDfIe/992x3FQ2OC8cEfJcXoOx - yCYN4CnVRMsXT5Ob4ujDzjNy4sP1VPEslRfoBklFuxulfFowZYalluxZji6rmOPNPlT56QNkO7xb - 83c/hqDSD1+euhX98hACpSZk42Q+koZh8qEd9sk/+xuvtAYSJ9FZJJZLxJbre6SmAU1IKFXnalo/ - Tz5Ed71j4WPOqymrdEN9Oe+Mvros7FoahwdkWx4hDlqbX37yEDYa3jC/TbedWJILwBTdb+xoZEI1 - iX1Twn6SGNtG27LrVquwQNr8PDH9dtPRGARzCPuLCMT1Rsr5oBULMLrLi2mBbXYr1Ywa9Ch7hFU5 - eFdTv5EaOEuPGEetJKPxqRkuPOH/AAAA//9MmlvPgsyyre/nr5j5bs2MiEgX6045KALSCB6TlRVA - 5Khy6m7oZP33HXh3dvYlcoGBrhpjPFXliSwAr6PBdTJf2bo/m/qfodP40eImBKr3oUFkC3y4FkGD - upveYHuhDjZTr84PBdiU8V++O5mqChbVj4SVIS7Yr2lLsNk9xdtbXkbd8osuILCHTY1mndkjnLAo - v3JS0sNtlO3PpQ10uH3lHNuBf+dMeJwvs18j62eZzf7QhDLTTXw7Qxj9jCXZA7+1QA9bPkTsIIgC - xEfZx/YCHVv+6+0QvVVHwyaQoiDHneMh58IYPQYfHTHiGD6cd+iJdxiKqLFU1EG0e9f09HK4NuXL - x+bjD1ea5OqIusWWMXR4txcCh2OlMWO4A3B0cMjmJlg2wXYqw/tQxO7ae53aYZfwdP5eePfsPcTy - 43GBMnFfEOVcC+3gfQ0LkPKUScFIajdfOMvK3c9l7H6OXsE+vA3hvQSDGqNTajRXohI8RM6k5CMp - +PIlxDD7rW3sXLQxK74WrJsdottzTrQ+PMdbED/7AbtF/7HZ2dwSeBy/FGuGQQISJ/UIyVZl1CxF - G7Wd7TpItbIN1uPdBQ1kfIRItYoNYVRk2pRfP6iK/B+1s3SrcfdwbKAemx1ZWhtFK8lq68INbyg+ - DqYT8FIIGMpxdKWO7amou7/sBk351N1sbl8+ppbcwVQ/ZPFVa43bvDLhRIWFW8TKx2Zi+dWRsjZk - vA+t1eyfbzD5DXcpnNRoHYVWinDqOthaON+CfCl3UX04dC6QK2j9xtuWqD8Ie3x/tLU98PQxQqld - DGzFTRoNZR938NXTgUbrz74dcp8JaP0VTvTB06FljwTt5f1GveFDeTjy8ZoWAvRZyUhen8R21ktk - EgJ0N1RmwdQhlWRFbmNsTf2Q8XYdg/DOY7cj19hm4qnR4ePzKzam+qZ/fGJ4r0mulsimsKtNxLMx - pOpl+2t7zAsB6PBaU4vkdtBvt18R5UqFqXleNBHP6ClBj5WlY8OLXu1cb0gdocC6l9yi7qEmAjIv - EJCF9h3RYAVDoyyRWmN3qIaItMuvCGJ8OdBdq6YBNeVVDvp9iIjyCb428U7eTZn6CYFlYxfrX1p2 - cM9hwHt/5SPurC4fsGFQqP2DFLHL2FjgtX5IjcnvEe2FTDim8ZNI0/laN1clgfCVJ2TrR5+WphuB - KLO/2u/EbfT3vpaZtyW1jLcR341PT57yDxmiR2nTEps/lOUHy71o76IoX4vehylvuvJY1zbPjvJt - vk+iob/z+XvAd2mbcz9BZOo36NZjhHF0FewhCrQY9ud3hNXH4RMMrVcJ6PaVcnqX9347hNpJRlkk - q0Rc3VlLN0Rv/vJCPeXvroDWhdWJ3Ki7Tdu2M7MHQbvmY+KtH+2LmlZDN+dRaqfECOg11j/IXIk7 - koL/jZjcliI0652KD4V71ia/I6E/PhZKVGuSa72AW1jeiIyvXsvXQTrCuv++yEa39GitfXNV2e0t - yVUmfRhyXxJQ4HcvfMoXpc2L09MFNp1SNj1vOMdXCaRko9LnW62KYns5lZA6YkjE8pxGo0v1Eq2E - wcHaOasCbnbfB+BrVuFfLebasFhsJdgvhg9+DfTA8+QQCZB7gY7dA/Fafu83JST9OGItUmjRzXlP - qGhJDRAtbXRR4YF7/kTUsItfO6Sf2wLGwqpJaysXNGZObkH8ba7u+ihXEXMG4yarOquxIfxIwQ7C - QkDZWOyIXNZxwZ5pnoOcbVbUZsIyGsakvsDjgxDBC9YElCZNg+7XX+XKUVPzeuOZ5ZzfMZZzF42v - Zpmi18ff091LIMXgd0GCToz02Oz1Q/Tnp2RXfGDnaRJtmPqpPOklPYbowMXfkP+UDK24O6plpFFu - oRIeZLv8q59R15VR/t2IjvXhlWtTv07kKf9hT3w+Ar6IT1uozyyg1/clb6lZsBxWw6kh6KzXGq2J - LG6mPIUNY7gXXIvsC1rK5YhdRbaKkRZHCZbFi8z1E4ymUt2gblOg9kYN0biSHHEzAvLp7oPydj4J - 8D00MbZf8OKj/yR79PQTj2z0fsn7nqULdM6Hgyue/MzuH78MoB3qEOv9rQz407ym4KK7jlWWP9vR - PQ4JiPLeIoKL9IB/9qYIE1/E1q7UorHepT5Uw+aL3XWS2vzbBgskGieN7jwtCwZaDQQUuY6peXZo - O7SblKGOCz3VfqnesnHfXZDtPK70oUYtYhYSPjDpkyutnmnRvb4/HxbtckcnPqUNAxdlJFfvOzWf - oW3z82LHoE5chg9drNlCQ9QEPsc4x7HfaS2pDkcXqoeluGzST1ZVVw/N/v8anUrUDe+MAHnUFcbL - 3LCF79ry4ZuJCuG79dHmI3n7EDPFdJc7fGrZQTNUZO1uB1eMtZKPSyKH4FxGRvF0fwBTcuBwG5/Y - se5WMBw1QVcCQzCxH2ysoj0E4wKIGifkEToGQoZ30RUpl2Osw8G0x0c1WpAGu5zqYZLz8c7qUI7l - s0w1rnUFr76KDn1l+XTO71P+cuG390/uJkuY9gOGTIiVdewCKno++d8SqHZWJv+6LppXIKcIkvPP - XZ+xGTFTunZydpBqqm7qU7FS+2ODJn9OMTmtWmbEaogq9xHQY+Fl2lBd7hck61VNBjA9RNqTqM7X - 9BCNXsC+IdmCt7UVd1NVJ05JzB0o/fWS7u7nfUQITUsItz8L+2A8tL6/OAQ1RvDBTloS3l/2ywfy - n2sgqzw/8NH+uQJoWhhi7RDK/I8/7ULrTKRrcIq4zXsLqkS03OGbLLTejIcEpn7uiqbf8N6RwZEn - 3kn3K2/kg5MeQlh+dx7VDmHIycdkDYhi+sM2E94BL8byBivLFPBRPV+j4WVeXBDeaUz3m8QNVrTa - dGjifdg+iQXi6/j+g09qZHSX9AebV6LtAos/F6qz8lhwz0pzZeLBroRIb/Pkd+igyJP7zGM0AtEL - 0PR9ybq7VhE/rXVVXmb+dvZTfKo3AWlmz3F0pB+N/YxHDNB+BXfVrDONm9fmARM/p/qzagJGY1WA - M2TsL783birGaOahO6w1iF220gVuC6Om9hesQLRURJAe3RSKo+tF+7t/fzoHsubNzxYfsDb/9HQ/ - vc+ajN4D5LeHcQxFGTBQngJ8ilrDMz8Xiruno0InFzr5Yc74LZPAbI8h1kIfon51rVM09Ru6z9/Y - Fig/CBAeM2Pqn6rN/aHdo2MniRR723M0OEcrnP0EVdFly3tfkq25HrB2/RX2r11sVUW0JY8aurS0 - OWl3N2XSLzr5r5bfA4ehfvU5ulR/jYgd960sP6NBnfJDXbAiW4TwMlPNJZM/HerTfjHPf/CpCkkx - HDXYw4SSqfVc3gpOtZUISRlvCdLoJmDkV+fgCu0azzxrVHeJDAWRBIyDg9SOEF0BNq+UUzvw13xE - QnBBUx4l626ZtGPUmolcvnSCDVFUIo7NYa98T88O72/A2vFNbg+4XoMHnf1Nr18RASsLJBccfuFj - 2ZTyPI+i+/M0VzAD9QP3ZHmn+p0/tR/WMwHuy5VB//zcDffyzGsIXMz7fC3ByV5XrrTUmD0gafwA - UeWr+x2ku9YnjzODr6kH+J5uypbP+pUi9UIeR+YiYcyeJrwvqx9ZhwfFZrfFWpr5LxEn/jnU0WsP - /m9vkDzY+ja/xk6JuCd32N3sfG1kt9YFGgoS1aQ+DsZsUPzN0VNz7NRtztl4kWN5RUqdRrYeR8Pa - yTp45V1JJ7/QsmBpCnDJmEFfTMTB0BmLv7zvCkmVFmOxii2oI8PAcz0KxvBeoNWpu9FA6uOIXJH3 - U0bVQ2ThgdquDturC1G9LekZQxH0R191oSbNlzCFRFHvd1ECxe5TuxO/Cvg90BnK7MTGJ4+BNrzM - 2EEgehGd8lfUdZXaKE/KInpS/E9Utb2qw/5S7an908xgNcQbGazsLGG1PolFM/FyUDSLEb4GQ2OS - eNERzy4FNrXTpx33xS6BGi048VTJ1NbJD3foTXMXG6dlYNPe7XVYvvwPPqHnPZrzjrLaf33CzCjU - Evm+3M/+wV2la6EY3/fnY9Y7VwKitX2uNwQk923/1Suju2Qrz/Oeaf5bEJKFyTy/JHJ22bT99P/R - d/QFuq/6SyC+cvOHZj5hTvPF5jiKe+jJW6du9LYK/j1I3qorQnHWT9Rdv7I0zz/wMTz22qBddB+u - 7/yAHdvLERE3goeataZSUyQiYnWiyzCuTRV794UUdOpV/wHu9ynpX05gs1e0+4C4jAo88/jxXloE - gNq3ya8UAZ/9cCztHTrPf9gj4RN/cjysHYMjYpRjARnNo8JBbLcBnfK3MtenXayclvvLwVEEvK/c - v/y0JONDKf3V0h0MuCF2iy7u2jytXSJYass/8zz86G1z6tStioTJ76LNLaLUGutaG3T2y6Fyw4Ae - j59HME56CjPPM3UmTcheT0CK+J1IJ2PgwyPWPPDu5x2pUSm2Q38FE+Jw3E56Z6H1nAeCVK2x4/AL - GuMkY9B6vKNbya6L+ju2W9gMC90VZPepjVnIfFg+qe5C/Bo0NvFQNPFlau7zum3ksZXRP/NWwP/+ - 69///u95w+DzeyXVtBjQJ0P/n/+3KvCf8BX+RxDE/1DxbxOBdGGa/PNf/3cJ4Z+6/X3q/n/6X5l8 - u3/+69/y37bBP/2vD6v/7+d/Tc/633/9HwAAAP//AwByAjKh4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f698a1f1ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:37 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '238' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 14c4b848bda80d181e2abb63a4749e4d - status: - code: 200 - message: OK -- request: - body: '{"input": "a question asking for someone''s favorite color.", "model": - "text-embedding-ada-002", "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '124' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6SROySrPm/vsVJ86W/kIGpZKzYxIZlEJwwI6ODkBEUESGKqBu3P/ege+N290b - F1ghIWQ+U+Z//Ouvv/5u0irPhr//+evvd9kPf/+P5do9GZK///nrf/7rr7/++us/fp//38m8TvP7 - vfwUv+O/L8vPPZ/+/ucv/r+v/N9D//z1N2nXAt424cUj7K2aYJuFS69BWaC5GXoe7sVlohYb1I6/ - KqgFrRFlwk2oiT6jzHzgT/LGf1+se9et/LqEZOxUf400lUmPT2xDVfkZPgCu0bS5xDWyHomEDfq5 - p9PqXOignhOeGvSjpJWXfgBOcQV0X39sY1BeNocerJ1Ig1e7asJ7lMhCt/Gorst2J10iw4fhFvX+ - 533TU+ZZXoxaaztT3btIXlsPggr5xgyxdt+/u7m7jqY8A05IWTQdogPv5/LWPZTUOGSeMYnMDYAd - M0ZW9srwpm7IQ9jG8Ru7Ybrt5snZtvBGmzf2Kk9DvXsqS3B3oov3j6fHxptYl5AVuYTV1jt4DQu2 - IkjOivmyonXGKL2YDRx8z9iz5iCaw6cAMrfZOf60P78Mlt1Ihh6smbA3PmY03swi38zRxaZ7alyq - Sd3RWY7HzZ6MsuN10qw1Kpw97koEx1cr0R+pBXeh3fvrztBTCZdmCaK73eA9f+0ZSz5joeTnl0Ot - 07f2mKjlBdqFIofdotlU0+jYLzhqk0i3LRjd9NVhD1vtjOg24d7GwF/WHMRr40VmIrxQx18g2Sjv - zsDO+ftBU+aFofLMbgq+Vo1UkZsYWco+W+2IsLsLaG7qjwz2kGb+e6m3meZdCeLhdcWH0Aqq8WmI - L/jMbPZ54m6ZJMpuA2W/d2iSSCdvngK3hkGGNTXWuRkJq2oclYlueuzgzK/Gts5CyPTQwep9lL2l - XmJgl9En0AsZ+vP8dk9VwxFuTTaflTGB/GafsV2ITiQ84Wkq7kcQqHqY045uNnKOorg+YS3KUEfC - 0e/BdzkNa+dW6Hpt3o+AyqtBFMX+onb/7XJYpzX4RGZtNx3GVke5X+X4UN3eaAykTwBeGgQ4r4Xe - mAuhLaAZTm9sjXWFOnXjleCNnyvWm0/nsdPWbYCSC/In/S0bUyVEAL68+VJ8SwLEqsfMQ2MFAb0X - NI5m6V6OMITeyUfXA2cQuxxVKAK9xF4Du4i83HpGn6/88LnrGFTMOfUXdDj3X7yVkdIR6zCXq+gi - bel2qSe22iUETSJ3xfY3lNhYC4cYVPYusSY+hK6/eRCgix1ufUe6tmysjdyHbbRzqUNjr2q5l6XD - IHNrqov8y+ij7U2Hxzkz8LZVVt4svK0RWpV8qQ6OgD56NTQw9o8aG92nrKZP3YrgSvOOumqnGdKs - cTKAflSxc00HNFTGa4Zd2r9xut0cUiLcZQ6W/seHyXErhr9aplip2PlL/bHpuO/20EvFTN3Cc1P2 - rrkMTsfbi2pv78VI4/oxHEL3TpB1gYo+hGaN9rcY0Z17/lTDoTwGIId3h6xuychYr8cvdO2oSCTJ - qVl/S7Y64MLTfUkcmFHvuY0L9eOiLnjVVH/qd3M/MvrDE4peWQ274476LB8Ra/thnyMwdew/c66r - erjoKnqvEgNv45PU0fl9v4DdvR5U39r3aLYqdY/K5yeiO8mxUF/AvFbQywoJet/Eboyi5ygX51uH - nZ7kxtjqCg9Ca/lYO52qdFL9F0HXw9Om2jpQI9HI0gwdY7Gg/vodoHFfdhZMD1mjhj8rKXvHA0Hm - Omuw5m1Ggz2MqYeEyFuqc8yIhOO+2gP/PA00C1LMJnTPfJgEbFN1zZ/YeI2cGLJebqlDYKmnYXrB - xGKPzOF654n2OntB9Oh7Mt8shPqpLxoYq/cKbzeOVPU3GhIwTXjg/ZtsPVIY6IJSn9epOn9QR9zT - AACkHSkORztlTvoNIZ6blAhfb+OxpX7WepsZ9L66VB3rB1eUl/4gkue7HWkeJwu4ihHqW+reE05J - NYPzWR/oWc799HuQBBGis25TJ4vGiG42c6Z8xCu3vO/IG6Xe4mCjuDrFDaTdlCjHFrqTTf0Vh0dG - 7mEWgiZ/eJ/neT/taUB8aF/7mV6LZ8Lma5OU8JbNhsYoDww290kIgX+lhA+ye9XnxbNWLL4NfJES - 8KbkiXUQG39DVmL/TqcHTAES6lLH2mXVp62sTiZaK4GNz0l5jBY8UtEUZT6+y9oesdW5y9BwHgpf - 9s5OOlNd1+FuKCp1MvoyGns67VG8snyf52wzGtvH9SQv/xcbh40cTR+0Ln98gHcruzaosknMTULW - W3r6KH01To7rw9E/fLHJvVk1Fp5BQHj6H6qL8Rh9yXsOlUfgNhi/BYNNxs4msDrnMt6yePZI8DUs - OIT2He+G+FnNNb8BQGQUl3412ai1IwdHOH2xHh9iNkryg6At03bUP+3NTljblx6c10XD24uldPTt - Zhzkhij7Vn1rq1E7dyE0h7jBjyRiqH8diwCS+aFg53SajGFEfovqGa2x6fo2Gq319wRt0dQY35IR - jQO6jQA9etJ9shcMGnuiBXfdNqi/ySPGctJxMK7AxJnS52nToS9A2R8l7F0PuTHfxNRC3VgWRFw7 - NF34Pvv1z8LHt27cW85r86IfiXrMKdKJl+sQ8Ff/0r29fkVzE19dsL22JFI4XQyWfaQ9Kv2tQ7ec - rHtUVdVCNqdLsPBX2jFZFW30FssMm8Iwpb3hX1zwdSuhbrjm2XQ4GDXE/CPGW3dXVSx+GiNMUwt4 - b6uAhoXPQLBeW5q2ZPjhjw9pUSt4Ow6OR73TyUUdb/V/7i9qVVEj+WKc8XaLwRhpv+bRRuI/1LyN - UceM1ToEpbQkataNgIhV2Xv5hy+m9LhGhOWGDVxxKBf9I3ZTEnIBXMr1B2sPye8W/CFKuykOeAdy - n/74SDG25ttfm2rTDcmN7UFvc4PuYymP5qsJFijVhsf2k/bRbK2+BNH9S8O6osdoWPQeqi/ZjfTO - mVXkUWT8ZuEfrPN1Gw1JKIZo6+LSX6m7As1+mV/QLXzF5IffvTwjAvfdc+9Lnt9WU/xUT8BWXYG3 - ck5SZlqIA/nuDFjdvWo0d7UqKjfRepLV8zYaDF08EW78OcSH5FlVw+HgvTYkozN2HP/EZrcUCbK/ - UkAxdc9Rc/dSGQ7SoyLcG75eq2VVi8x13tBDaI3V6I9diwLVXFHDmstuOG7rAG3CD8Z7BWOPf4b4 - JLEpHknLOzYaz5zHgyZpDRFPhzklTHs2aOlvalem4fES82S05pMnNbZ3DzGSP2UUaLy/8PPTmw6W - 38J6td1ix7jTaHbXZgyHzX7GNl59uoG/Yh7NonjEhjXr1SjYT16+7/kPvmzy2qOkn1swD4gnMseO - xsywnMAZlxX1PyGKpv66WfQXaESoxE9EvcPVh099iiiGe8s6cu05eY7pEfsXaeimyzMoIde3HcZB - 6Xe0uFkWFEfpQbHA9Gg8b20eXr3RYeP6fRnDbI+JItSFTviwlVICaiEr78rg/Hy7c7y5qekaXHSJ - /JV7FlICc2Aq2pOU/rjofWmbOQ1o2c2ij7Rpq9nKvAAMN1YXf9EZ4y3c7JGhlTe69FfHclIBWn4P - e2utZMxLKQfNK+eou7wPngyYyMJrZthaOziaNT+Uf/VDpKq5dqxDaf3Tl/5YNs9uvgtyL39W+E13 - Q6xVnb4zbXSKXEbtztAj9nHN+fd/Sb+SY6OpjYuPvoewxN72fuvG697Mobi6MlkfpoENmeJkcB7o - ER8YH1U97DYB8DJeEd7beYjxdtci+/QUqPnYthFDO2QhUvhH7B4rzhhl28lAPu1jbD3Ge9ffRcsG - 6MwXjmVnk77F16YEJrINdZ9KkI41uBf08yvWufx6s9ZCgha/5LM1iqq5PqbFz09S7ZoWRvc5agRd - HQ4wbgB1DevjDNiUjFS/bdVIOokTD9enFtKjrFspXbWTDaL1HKguIM0QDmOpyj8/IqfRDpFXLJWw - +BWsVtsAse+Q6ujnJ3biwLzxGe4uoF5dg7yEo9LNrwefQ0nHsy/mUlIt/qpUBJMXsf+gGI2C1sso - c5In4X58EFFYwy2sYyK0BWXzS3Bd1J1cSh13d0WDmgk5WkvcQP21rVWUOKc93IVmj+Pz6ZaSwl2H - SLJuH2wzZHYj6uoa2k15oHq4/njN0s8oph5gnZIPGiPJ9mVvvtTUW/zAhLqe++l/sgJNMige7yFa - 5Zcn4U9pacwPEC8/v4dxEkVs0Y8zSCOX0t3L9Lpeq3gdXqvC8aPL6RCNZhaoyjtxO7/3qiEabyIp - UEUHxZfoQiDz+3wCVBQW3kXtxhjt1k7gxl9D0vcCoBn8TYv660vA5ue5ZqThvyOaL+sTdaVg233f - YJNfHoET7fXyRkE+6jA+J/3nn9Pp/KQxdJt4R6/8Y5MO81Wz4ev0F19hPOumj6tdQHsHhJCsYcaQ - FGsbLfxLtcE1janTexXZ2CfU1C5WJWw0VwaF8RZOrbPm8ZFk7yEPQoIN7E/ehMcbjxQmWtjD7Vw1 - V3NsFerHHN5R91M1VhU18NM/NtOfVd/qAg/1hitJ27jfbuidhoNLcxzJO7RKRL98LcrOEF2wXZmV - N1+VlYmeyUel3nYzpBSn+IXkuzdQY9dtO3FzubdwXfkn7NybnTcPQcmBh/yDT16fORrixEvg7oQp - PiRciEZQ4QIae2T+2H5UJpZGZ8udd9zhpT9S4eHppvyQJ4dujy322NyHAVxRYxNxMCJvvNJyjVTJ - IYTl0b7jf3r1uJIFf2DxCo3aLinhEKS+v5LeTUp8bsXDFbU2dTj5kk4jshqoHyeV7pRLYYwTgxwt - /Eue11Q1psNY6sj14ou/IXBlY1O/cqhX547afhswNmprHwWa6JNqihuDrnYhgbKPJIw9f53Odf3c - wyPqebwrFFKxQ6quUeu8AprvziViT+hLGILTFbvc5Yl+fhK9IzUivZ2NFXVKxYIw31XUv5s1IulH - dtHPn9q4ihjbrhoTrDh4EMmutEoQtciCSzf7ZLxaU/frV3jRt0RgIA/GlF0pA5PDq88HmVL9yQOg - 3zyxN6K6YxUxXj9+IEppUo/x9+miXF/vnAjBtPdmbXfmwEp2GVaTr54KnSOJwEWzQcjBatJx/xXl - jWGcL/QcVuGSB6QASmlK2L1xk/fjMyTfPk8ydAIfTV0AIzTmU8MfJzMrfvGTcLoLVxzGhxiNtZva - sD6kG+ycDydvuoiKiQr5a2Dt4H88olVShiaWePTwbNL0uZvCF0T31Z3wQqB7otG+fEAvM6S3Jf+Z - 9weNg46bAl+22yKdG6TUaH24bbCpXepqCp/rNSIGX9Ddgg9zg4QaeWdOoFvLfhhdn88m3G79+POT - 6SzPTQgc61Xsb+RPN+7Xuwb0pufxuYWqm1ad+YL8XDt07+021eCdAiLzbPf54w9nbXNwN2c78fDu - p4/HwObAwVaz+I8gEqmuqwp2zB7/+ITNWqEq4qsd/JEZNJ3d0xvgndgdNdV8ZczWFAD0t3TGh+DU - Vot+DaBqPm8CXjWkYzCmGVr8BrlQkhlMV/FebhwxwzupFo1hd9qYP/9M1WfUsnl/cAA2D01f9Amp - xiZOCbo8vdjf9CT3Rnd1GlGj9yZ9LP01GTuVwOrqO9jM97toOi7s2DSG++MT1Kb0wCG7jkyy7sw7 - 6u3Ky6Cs1wQb+8o2BKKnIlJaLsc7u9I6MXwKHBhVFPkrbWMxtvQDIoZYYF/tztEXXdRYWfJEvAPt - my76OJBD7TsSw5+ebBR7O0R+cLT9uaJNx74OX//wnuYb7VXVv7zP/7qU2sleRcLneLflHvgD/eH9 - EEaFC/GI9nRbPoOKbKePiOapFKmXU9/45QW/+sC/fEMEtZGh2tsWTqTgXX0ft0QEn7sLpGm9BH0z - cV+gQ/4KaHb5fru+G44+OrsHG/un/asbH7dT/vMT2Ky9upsv+50MWls7Cx9evULLmj1i66dNuEu6 - YbPAriWc7tKVOp6aIGZNuQpXHF6xlTXvlITbLINaKQl2XXXuepZfahiy2fU3h9bu1m2dBWAcuD3e - 9YbLhksS1XB6rXV8mOobm+LmZMP5JbTUfT6hIhGnvuA+W+ov7+4Eb5x92Fy8lIzV06zmcLSI3N3V - C9a0XjKYmrUq1Gh6YPz5OGxmct+gJR/Gtqk2FWmO3gm88X2lxuJPpuS505HrQ0kXf5WS/HZc8Hwt - YGxXNBpvpnSRnUKoCL/PSkbq+ruHDUqYL6RSY8x7brIVWViFPmvDjvXlcZ1BH0YJ1WWeY4MzuTGa - +muBva/Q/tFz0OjExFaeeGl/frYnGDJp7V8JiVhfD5vXL//DWJm1StyPRYzuasz7H9UmXZ96L0s5 - ZJKG/b6eOtJfxRnOzygndOAN74fPaMnfqbqdCzY/vJ0Lu9frQK89HBjzDvYJWasTj63d/IoW/34B - 2r977J3Ks9fDpsihOKcdmY+WZghhVNiQbrl0OW+mS173gma4vKn2ogv/l5oF4YOfqXWovmy8NfcZ - 4kvYkttDLBY/Z/M/fUut7aut2tSjJUo4NBImB27KsJT4KF5rL3oon3naP26nDM71a4OPIvpGpNXb - GM3HeoN3wWo0RuMcmQBbaU+KTJL+6BVQj2KD/aW/yM1reLToV+yft7tO4nHzgjitt/70CjUmrud1 - DoavyYTLxR4NC75DCH7lo2W+ICVmYqLr65Pj7de7GbNwEVV4y1aDcboX2UzRQf3lYWRzKV0m5ERK - ZOsRS/TQCadoXPwAWrGu8Zl/9j0q36/tD+/org63qbiZJRt6xtUEsgR707tmKqyt45NMWVRWZK1p - oRL0OaXqKAhVf2vOI5R2r2Jvcz0b02kf6bA6yoR8D23TTeaaq8GTGo1mWUK9cddeQ3mNyg1e9Jwn - +pwkImtGmt+/ydagu0NDoEiohQ9ap7O5u64t2B6DAw7CtjKmH5/HqNQpVncqmq+KZMEhuPnUsjZa - JJwavlSWfAY7xOBZ63MFpyx6GKvby+DNnP/MYMFnf94gxIhZBckvD/W56ylD8wO4Ewq1bvR740W8 - 6aLIOvzmI6ZY8+n0GcTmjx/VCLTekkfnsAnGkC58bPR7y6nh/DzmFCvzs1vyLoCfPtSd3ZPV+zTp - IX2vY2qsEetmTo0JsOSUUPdY5QaNzTYA3S0tvFNfZTrlBWkBF47+y8eqicegol3j3rD307vN8Ex+ - /U63raF2PLu646/+CbUt1eOFt3cCVy+oj37v53BSS1j0Id3F2z4dPse7K08aWeEl/0Lj+lImQMhD - oy491hGLmhW3WeYT5LPk6WyU0R7UaX5TcyW76bjg789PUdOw+27JA3vEhSpP8ZKfDlXhh7D4c2rl - klyxZd6ILp0E/mplMzY/ikz85YE0XvhmWlXrEU5N7lPjehjTSXmpHMws2NKbt1EYPUhtAvApYyKz - 4cTmiFNrZdGv/zXvOIujiozelfHeeBFjmRfF6x/fLfM8b/LSV6ngbVH4QgtVNXwGroEXMy+/51fx - tF+Lf/JLs0jAaMPovYe1FT39DjnIG2Z7HcOSv/ss4wQ0SnfRB27iJgJRua94e320YSwMhv0JNSnt - nD6GZ/JW6T7lUo8EUspDEgwGdrTOSYdcgAs4hVT5SvnMo0X/2BC8T1fq17c4ncx24GXN38f4/PU2 - xjBrLEef+hL90edDEI0XkA7Vyueu0TOdLvQb/vCafIQ4i/if/tpc5ZbuCsWvyG++8VV5Svfpdu0N - n0FsofmOt2X+03Xzg7zrX/5CLs3n1ZGb2cngDl6AtXdz8v7knUo/pdT/6fWPu59BHMoT/um/ZmJ8 - Jt/QvcUuiY2IFa5wkaV7fsRG8ayrybFi96d/sCVfHYPclEBVlvnU8nyQQaZrnqD9eD8SxmqN9U+D - e8n5tpPwwWl1o9Fmc1Tc78f04R0e09/8FY4Y1kS2/X3VeSs/hms3iEQRcy1tUiUN0Lz++oQtedp0 - ifIG3icpoPuXoHvSksfIxrB2aCLoHZv0qvX/zFP127aImmHQVLT4dYyft9FrzluVl4Pd4UptpGdR - fzXXrbzMP4kAfZOyk7jhodsqvb++jQdvjLZH/cfnyzyH8+beqVX0yze97X1T/fgOHlmd+tTz42gq - yVUHFu11Ih2zR8Tun+IEL3lPqJnvPynNii6Bv39bAf/5r7/++l+/DYO6uefvZTFgyKfh3/+9KvDv - 5J78m+fFf1PxzyYC6ZMi//uf/1pC+PvbNfV3+N9D88o//d///KX82Tb4e2iG5P3/XP7Xcq///Nf/ - AQAA//8DAIhgdPLhIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f6bfd731ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:38 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '21' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 36f5007a6c4425f08fe62a8b13fa6d1f - status: - code: 200 - message: OK -- request: - body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write - a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum - dolor sit amet\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], - "temperature": 0, "max_tokens": 0}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '2940' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/chat/completions - response: - body: - string: !!binary | - H4sIAAAAAAAAA0SOy07DMBBF93yFNWunSpSmLV6DhMSiggUsEKpce5qYOh7LMwGqKv+Oinhsr849 - OmcIHgy4wYobc6zWd/724XBfr2+efHfYxtN2+dj2x+75ums2oIH2b+jk57FwNOaIEiiBBlfQCnow - zWqzXLardbvRMJLHCAb6LFW76CqZyp6quq0b0DCx7RHMGXKhMctO6IiJwXTtUsO/+29v1hqExMZ/ - smtmDW6g4JDBvJxhRP61FooIBixzYLFJLo2UBNOl36qCGSVIeEdlk1cj2hRSH5FZsZSQekUH9UHF - s3I0jpTiSU2MXllWVuVoHQ4UPRYVkvLIoU/fojztY+AhpH4Bs4ZDSIGHXUHLlMAAC2XQEJLHTzD1 - /DpffQEAAP//AwDCE0cFhQEAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f6d5f571ca2-AMS - Cache-Control: - - no-cache, must-revalidate - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:40 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-model: - - gpt-3.5-turbo-0301 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '1961' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3500' - x-ratelimit-limit-tokens: - - '90000' - x-ratelimit-remaining-requests: - - '3499' - x-ratelimit-remaining-tokens: - - '88794' - x-ratelimit-reset-requests: - - 17ms - x-ratelimit-reset-tokens: - - 804ms - x-request-id: - - 3d8bff3f366779228460933bf934df67 - status: - code: 200 - message: OK -- request: - body: '{"input": ["Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem - ipsum dolor sit amet Lorem ipsum dolor sit amet"], "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '2778' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaWw+yzJat79ev+PLdulcEBKpYd5xEEKhCUMBOZwcQOXhADlVAdfq/7+i70jt9 - 44USBWfNMcd4qv7rH3/99XeXt2Ux/f2vv/5+NuP09//5vnfLpuzvf/31H//466+//vqv3+v/urJ8 - 5eXt1ryr3+W/D5v3rVz+/tdf3P+88/8v+tdff6sVICiV67M7uy08g0QZntRchg4sUbflYB5mJjXb - cwdmfbO+oNyxK1nUSI14LbNtuCfxhmzGg+uOz10XAgWJd2zXELXc8bUcYc1iSjh6a93FrHUI9bxv - sYeuh3aVJLyRK0mkFL/voP0YOAxB4IklLb0KGXSRokxJiY+wLzvEHS8XuYG3RoXUf6/IGOP34IFq - 2KmISu2xncLkcJRvz9CgXifVbKxMIIKpJgPilVrL+cV/hbAONYnur9Y6rM1uEOByiwpqVHLFxuko - ncFGPnhoVqXInX3908D3e9xTI0z8dq3OxxLuV3bE1nhiwzMWjwIcF0enCMkv0JV1VoJd9xKx8SD+ - MIF+I0NF3T+on8c6YOrDPcsnO6SoguujXbtLM8PxXZcUm2MwzDdlUZXOwgOCxXwY1lqueui6mk4P - kTjnZF8oJkyumzc9CtkZjJBLj1IM+z02S/9lzMYz5cCnLF/4V691OXQbOPt3lSzZorBVvJAHoK8G - YKdoji7XPZ0zzG4ppiaQUMTnu/ML9vOs0Fiti4i9J1bKonA3qH0nHZg6HcUw5eWajEutRnO082N4 - OZgdvpyW3iWCtRLQNxRhd/KMlkUsPMJLfMnJxh61SNgZiggXppeI2+2LdlmA0sCLBgLUPvk5WsfA - DiCyTYS9/m6z+Qr6QuatwkKbj/TM12dUIGBZ+gmt2kGL1kOjFooWBBHes9PdGMs6LBVwYz62HnBw - GXq7EMJ7LVPPSAJ3Aa9jB2+zNWDzziZ3FFGHYMRpe4wT3LZMxTdBXg/Fh0yXnESzdCssWLEmQsQe - tZxph8cMqvQpfesR5LPqVI38XU/Y0i7EWE+mn4Hxdc4QBHQPlvNhUuHp+TxhC5s0mo79+ayYUnLE - bm5z7XKLvO/6lyk96sIMxo+w6kr6FlaMTzYAy5r1I5TgACjeOUu7StmyAXnDA2z5i5Qv0jGMYeyZ - BY2CxRoITVwT/v6P3HX9gcXdI4BEvt6w195OOQNtV0FWuQXZPNZmYMtd6iBFuw4pRrLNZ/TS5e1m - Gz6Q5D1bY8E3dYZvJTnj47Afo3kebjKoqsjDVnH2hnkcTRt6x11JFrez2+/39eCjpiI2PKczxved - 34AxDQeq3bZ2O18J0eEmcg/YKfjcZfMYQ2j414Aij93daZJeEJS8dcduHcv5lDfUAm11mygGShst - +GavsHh1A/6txzpv3uavvvg0xt1AQzyv8LHGHtY6fmQL3IEzNLgkRvIOWQOnLPkZJK4sYnWGIOrw - 6ZL9uR//vRJ3+fDVBo5HBAlobjd3YpoNgSZfJqzfrWxYDu21gnh4d2jeTw+2aCXMYFnvUsQ/8cjm - Rt5v4LX1DWzqBxOs+9QWQI9VTOQhVaIPt/EsiJJEI++0wsYSHT8cSFxRxPtkS9s+fjoWXNvHAS0v - WXTH9qAXYDn0PlbVl+6u1kdqAEou2vf+83yEkpnClBdruj8tR4NdtTsHH977SOaeXIY1N2wdghC+ - sD7GOzY2CFRwc9oY2IrE2p3v108GVSn2Uc2fRIP5vboqJ5FLMVZMK2Ii/oTQ9P0R77FZGetVgS/g - YO6CaH0SDOYFWAb+5HKEe/LbdmVUeMCWBh1F9ckCpD9CGUYH8EYy2g7unNxlGxa39UzVYstFn2sE - kGSuG4J1t0vAku+KBzzU0KXY88doTRoz/OkNWlORdztXrAUIgADRLrmO7kxJRiCrnAKJhtNGzOqq - QokV3qFmslWjPhfcCoaWeMDZkCp5977zEA7CliczurT5jHfgBUTXXKnGn1L3ow8iB8+PF6G6dtDy - nRNrDeQu8o3q4n01WP2JY1jMIUYiny35Gj8dE856dyVcUt7b8XoxQ/h43muqwtUcJr6eGnBig4r9 - Yo4ZlYfTC/JWaWHHLVWD2o5vgrdyOZNJuGjRivlrCZcT7ah/Idt8nI7L+df/ZJtgY6CXnAogU+sn - VnFhuQKfdwjqu1UjLXss/+7n2VF5qp0ElNNRdjrw1W9s+kHmEllLkRyd1xBrzFjzpa9YCVV7fWDr - 9m7ayc6rEt6G/k4+9cdjTCvCEGT2xqRuxrftCkFZgUPwuWC7bS4DhfzJg9Eu9PD+aoUDY+RZwefu - rNLTpQfuAGW/hPqjkrHXrxIjHtNlWDmJRUT9chrY7ZKYcP1sWsSy7WjMDukR9NPpg3p72Q/s8Zo7 - iPhsRjtTkFxyzp0SGIRYZNlnhkux33jQnuL8jx7RnT4KgPPvCrXuWpwzTi0D2LVWjIQljaNlK2si - dKvVxI5CibG4TRtC3zAzfDWctX37vT0D7Js6PtXsEs2uUlrQc/oMG1HftstNKwKYHqsA34xkG32f - RwS/9aEqe34Yn806w4s6ehjl8Xe9bFwBCu3bxHtyLKKFL6QANsiNySYk7I/+Q8EKGrJZ6pKxj9d1 - sErfElqQXg/LcD1mcK/pN2q4+tOgL35sIBmOPWGVrLLpXT7E3/pARDUbQG+XxIIz3ciEaYdgmLpW - DIEDvBeZ5dQduA2JK8i84oa9hTtFix9pR8jfzwU9yWnGSAjPIQztvYt1abXd5azPM6gdt8HGgcvy - CdeKDmDIdIw5KjKqPoyzfA7slmynbI5WNXiJ8GW92J959sd/HIcZ43uzfzN2vs4ZQP3Lppgg3SVO - kj1+9SBLnzMwCRfVA68y2NNz6b/cYhKMFdbsTLF6Tng2XjRfhZubQqhZE43Nwaw3Cj5ViEbSmkTL - bm9BxT4KNVaf55qtH8m0ISMw+erxA6xvQ7ZgrS8W9YWLls9WQo6wDjgee3a4BfQK2wpK8AO++m4y - YRJvMqy1h47DyleG4aolnNxq8ED47NoNS2UnFnwTq0b8eHrkH/lwq2BTDSeyc4OFMeN1EpV78rpi - 23I2+RoLyyx/7x/vx9MjWl9BkoGtf46og0pgrMHh6IEGOTGSgitlbHLXDF7chiEJub3BzPZiykXo - VdQ7igNjMT42UN9eaup30mIsu5coyvGeqBR3r7Lt3TpEsLsWKz08Pp98Lc7zqIjmGFPtYyvsk5S1 - CQFfVNT0A9ll1R5CIL5RQM1Cng3Kt9sePGJEqOogdRBg4JkSGphH4FJXOUvNogMP73lEfQlDdzHk - kYD8xWHEW4U2rAfQe/Ly2FAijV719V96B3fePUPi89ZHdIi7ENogPRKIq2M+rjlYwaF1MQKPx95Y - C2aNv3lMv37VEKpUGOHBww6CvnVqlzbpLYicU0jN65WLennsO/jtX5o7YtIut/da/vIKPrB1k49L - +xCA9pQa6kzrwZjj8V6Cnx76yHqyGW0fPVBTLcF6UtbGes61EhSDYKCNknTuYuAsBFrcUySKB5Av - Va+pcr4dn9SuPuIw4xZZAKAqo9HX/8ydkWSyyicSNi/Pd0t64RCDn/5xy0ZiI78bTeDjXYiY2Y3R - Yx4uMpyMDn7zwDxMnuM0QN/YN3pUijFajA7qEG84Sg+1PbVjezgWYDSECqOEF/LF3aUrLIAp0PPH - 6CPKt7sOhH7YImaCWzSv8yeAt8Q7Y6vOaT6mhXKGgSeX2LxabdQ7MxeDZ3+7EFDHcjQO6jIq6Tpk - +PCcR5fds76AgVIcqJPIQ06e0RlBoVsLMvv6lM+tuyGwyXUN7cLwE63vPg1gtHIamlnMuVPpRjLU - 1tnHWBLAMF7VcpZG/u1TzC4mWGxr3cDzKXmTbT+9cpI0ZgCTj59Re3t5AgbaqoIBTdNv/qzyKpSP - Nvj5E/y4q2B3eLYdBFvLwE798cBi1scN7MtIJ7zbmjmrNwYHWyVO8KG7CcY4fQ6xdLnDDfbZQRhG - fbM+YHv57On+6+cmPXHjP/7h2//tSIpel7/5imxijPMljWdd2Q/7HRJ+/j+5Bbry9UPYPm3fwxyY - swWL23ymuIv8gdHLqirdmjjYdAo/YrdncFb2H5mh7pu/v88PAZTLM7V9lwfkO29htYllfNRaGRAO - Mh1mnytAinCpoxVpGwEYB52jvjuOgOyN6Ax5/bZizzJll3zzktxsyJZqHe+x5dDt158fRHKX6sN6 - OwER6AeUUu0liwYtJieDQjcXWKsrM1ol6bCBT2tNkPCdp6R/xP1PjxFU+1dEGyGboSOsOTWvlhEt - vhYUyuFTD9hw9b07C/E1hFnN5VRXI9qynx+o/OWE7et5dtfv/YKvP/z6/Syas0YlMIFlTY9a4ICl - rLQM7g+pRHFoV2xZmnwGaKtHVA2d2SVjoIagFpsDPXS32FjrnqbwNc8qIpr7HJbYm1MI+LLCWv6k - w+e69XswG7sbebRnm1FGpgo6u+2delfssrVsHy/52mIDzfenms8Bt5mBKdoWPcRWbDB8z0R49qSc - uuUnyBd/bGRYcVNC1o3UszVq5Aak+1gk8JxnRi/uggoIOVjQ/J1HQ7nTdOVAJgOJzHOHZbsRjlDl - bJ6qVRW4bJOuPTyfLm/Ut3PLuqiqUmV/N11afvnK4mtpCaZZKTFG76dL+iW34FNsTWooqu7OSzsK - sJgDTJbbtmuJeZdkaEEYY2eJdMYVSSjAui9SfEgr7I70OiHogsfw04ucxOClA3W8N0To4w1Yv/4G - FukD4r1S1/ma+OUKbVLfUZiHPuA2xVOABbAEIl4qI1rb3A920SpoaOcoOVtjQFS4pYKPD2iZWrLJ - DAIvPXshxXRP0QwurQ5f3hZjW0atS8RmUMEduxL1+MtkrPtU5RTiCzZ1xM79rkcMgT9nED3pUctn - UVp7kJYwx8aTD/KZ295s+LauGE0heeTMWyQOlok+Y03efwBjF2MGzn1vYy/RXkaXNTYBYxoM1BC9 - OZrM5xb99Iua9Ga4o2nLIRQU9P7yIZXt+tZ//frtj94te/ORwso+6qgNE3+YBNudoVJnGT2QtG+Z - WVYCRKjsMbKeUj5DyczAzg1jitzr4DLZoT2URH/Ge1ndt7tqzI9w6e0DWgy1d98PNSwkDnINdU7j - HvC+lhZwetkCtZ9znn95SQgKeJKJiJ9kmI2d08hkf/1QH11jMAtm9wBDuS8xUXrJnWxJKGXxXin4 - Mp7MaH7fFQjlvZVj+1yVObmdmPyn35XitgeLwGLvx8fIZq1b8Md/jVzmoDYPFZc5mbJCJhkrStvm - 0k6/fntIYETTlyeQNIsQ3MQZQu3X3y/+cj/CHAQZkXIiGsxbFg6e4nNJ905RDExIsjNsz6VGHbWw - wbJTwxHG9yUjmZBxgC6bQwfzI1mwG2sLe1/7VQBpm76JbC/PYQH9RgRfnoXDb158Routw26vv9FO - QYQNmFOzH4/Cbr/27cLXzwpqOXdAryeGLlGf5xSsm5SQwVw4wIL9YivWZ8L4T/9nrbPC9LoYSLi9 - 9eFXD2AGJUf320zKSW6oOgwSahGmRJE7BexJgBdNPJK9Z5iv4CG9frySHiyHGsuycwLw41/g61fW - giEi8bGkYC94+9Ga3FIdaqd7gl0JbMHyXZ/gmmY5tUryzFd5bHr41B5brH3z1iIdsxjUB1jSH//4 - 5R8w+zeViCo9tvx2sznCRUpl6jhJGpFw1+lw5nLrz/xf3F2wwrY/BKigUtGueR2rv7yG5j43h3k+ - ccc/PPTLT9t5TOIObuIUffPqPaLf/ARDHTDq5x/2x/8DUp0NerzxNP/lPUAR31G1fObRtIm7Bu6P - nUr3BooBKxa+A8WrH+j+Y0gtTddWht1y3GNcn2JjiUVdgDSKOLRY9ZOxxrVj+POfu213GMbESjMQ - nM49krU2Y/PLOemw6UMOO/wBD6v4TgJQmpWA5mLL5SvNtzGkn1mnYdcMxufxyVZx1Uyf7ulRi/jc - PFkw3Z9FmnP16DKeiaL84yXg/biDWUXnFWKjuGOj0dphiLHe/PGHvKnbQOxvaQCbwt9jPRUvLjn1 - wwuG2kipe22mlirVMEpW17iIHWonmq7bfQ8q52LRS85gzs77owjtdTsgRXaQO28+fQitR7tDU/dS - DcG7fmwYmLctPi5q7bJyp6nKtz/QwHO6wS1ieAZd9hEwyg3N2CEglTDUJUb9hH+77CBfbdgWRo3V - WKkZ28JChb0j7BD34s22f61aDLRNrGF1gmrE+0tiw6YPuC9vtgyhdc4vKGaXJ4LPITHY/O7HH79F - s3/ZRMvL4xDcoBFQsyIQrK1TvIA/p5AajWa0o3LkbcUz7zpRtkEARrflYohCWSD1JeldUunXFUrT - 1cb7PqbDcNqoOrzdXjNVuePrx+cr0Bqu+/XD/rBKjhNAe5cLZOKQ1E752sXwp5+qEbmMKWuRwWms - Q/TmpVfOTp+wAtI9uVIzcUnLaEYC8Os/m4vIsI6BGiiDqZpUW2ct6usnO0KmczJ1rJ5E6zVsjnCy - uTP2TFd3+YcOX+Cy607YVlBpUP7uplA99YBQrniDMTWiB3T3u56w7eSCVXXXHhLJu+IzO2G2rDT1 - ABdM+2++rdnS+H0BrEe9+/VLvgxXPYWpKk6ETbHnzrpBZLk/f+7UCJbXMH95IXTN7oVNOTpEnFe4 - IXy4mUV9wyTRyuKCA0fLQGQbkTfYmWUnwOkW3rHBTmq7m5G6gVd1cjCesjn/+pnqT748fjafdj1O - u+bPfoTKDMOdD5g3YduJ3o+X5MtdIDGws/2Z2jIyXKG4jvDnn7/8fh8x32gev/xBrzkRXcr5GQHH - rrapJU4lW67yNYXVSb+ilkvbYf3xLVfII8TIfAfzThtm8OVVaPv108KQSDH46hFO3OAElk63YqhS - 8sG+vW1d9p3X0B/gTC0VDfkSw60lB7zWYe3Ldxj7LCE86yZH7TBM2y8/FeCUHg5kXY5Oy0mr85Cb - wywj6carBvvmKVi8eYqCbz2mVNcbxVIFiWqXpDdWOo8c/NXPpgMFsz45MjDYMcTGbj/l5Ka6CF7d - dsZm+5bAdLleRmhnhzM1IoUbPp6jNcr3eQlPj3XErqerBZfCSqmpcgjMSym+4JNdRmoH49J2nHfq - lJeKEqSs3H748skzjHxrS3X2aPLxVx9slPcv/03Aspn8EmqnW0JdKk3R9NU3RWqX5zeP5QP13LyH - ifJ5UnXjpfmudwbut76p1x7VXLidgCzH5StGnHnph5EUjQ5d4Rqh0Uhm47cfArvF3mPfeh7dZSs7 - Miii/EEt4X51J4kfZyBjSf/ykDKaVPYRJVRUV4y+/qT/8aLnRAoiOeY7/9N/ncYqxOPkZHz9ZQjq - 0JCI2B25iI7pncC9pt7QkpUeW+hmjaH6kHV6TInXzodH81DEvZQR9ttfipxgVb77d/QgHjxjjT9K - DDuwGcl6Gy2wpPkjBEN5KBGP2nvEvnoON71wxWoZ9tFSg4VAt1Zs6ub2uf3yFvnHu3EcibUxe9Wu - gbvzcaK4HRATyqPOwSCZLMLXZHHZj/c21eeELU5a3fnFtSX48Wvl+3/9+CW0NW+DD9f3wqbTwHU/ - f47NbXY0lvUebyD3dAJ8MFvb/ZOXkLk7oFnZX4ah3hgCjJWdgz6lfTLmS0bm3/4GgfXuGNHDc+hh - UD1v336vhnW/9C9gedmEGDtV7aSVXAovcZKj5m7JLYX8FYE3tANsBIvVzm+r8OCTJSM9am0GCK6G - DWwKvCfw2kBGPuFz8+OXf/IS2YZZB8vCs3FWGZd/63Xcqg1q+U0/MPF8qeT2hOTvfKqNtTpYOrxQ - vGA7GE8t2QsxB0t5IviXh9dw16mwU18FmlF3ztkoaz386jf+1Ztxje0B/NxcsbUOXj7T6xNB4Xw+ - UY+oj5b4w5UDKBQFHPUwcldh9W0F89gjj6vV5rOHEQctuIkJvH/Mdj7bgvlHb/gv357ui2zBH4/5 - 40/e+kcFPuoR4TmpAct+BT18LVuTPIs3ieZ83xwh3SCf4O61addtmPWwxzpGtUfddnkCowCGsUzk - p4+7MU1G8K0PPWxBOux2+oOD+yAK/vgv4ZTK8m/+IVkLPmzKnoMIGPd8U90rPmAEWRKAzs0N+tNz - oSBZCaNT7dJjyBL2mdqj+tNLGkXKuZ2T+3qEf/9OBfz3P/766z9/Jwxe3a18fg8GTOUy/fN/jgr8 - M7tl/+Q44Z9U+HMSgYxZVf79r38fQvj7M3Svz/R/p+5Rvse///WXxP37vMHfUzdlz//1wT++v/ff - //h/AAAA//8DACC8/ZjlIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f8a7e541ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:43 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '246' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 8acfc872ecd10ebbc9a5dbb87c9dfcc0 - status: - code: 200 - message: OK -- request: - body: '{"input": "a repetitive and meaningless string of words commonly used as - a placeholder in design and publishing.", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '178' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaXa+6zLbl7/enePLc0jsiIjXZdwjyjhSCb3Q6HUBFQUSBqoI6Od/9BP+7T3ff - mCwWWS6KWXOM8Zv1H//466+/27y6FcPf//rr79ezH/7+H/O1azZkf//rr//5j7/++uuv//h9/n93 - 3pr8dr0+3+Xv9t8vn+/rbfz7X3+J/33l/970r7/+Fvteo9HuxhHRlt4Xdl+zwpvsck7oNoYAeWp2 - p043nf3xfJoElPIMUd8Sxmo8d+ITsNQ0REWkTqZX037hUxdFyO6bTcKPXhlCIKxtvGmeDaKSvPkC - RtMBB4/zEXFJLk5IWHcd1T/qB3HtZQdQN9abeviz98l6uSnB8Y91qHb1AU2P0BagQ8WeXklEOvYR - CUHDqi/Db3z0kGRW7x7E8/5GLU52Sd86cgTy9xIQ1Gy8TsJdSwA90JM6g/etJtidLXAfyitMxV7h - zMo0Ec6+EIVrZUv8kW+cJ7gP+YVtFKkVXQasUa1tXeFrfqGcUTl6qrzXztQqV+uq28YQKiqnHyLK - iwMaN+yjgJkoCnUOsmHwzzYO0Eajj3A6m74xvgJ/C9KlNqm3vjU5X3wowG3jT0S09Xc1jEdLRCKs - TgSdXZ9P5VMS4ZGUAT1H1rkbaftmgB86wZrYbCvebLoWBesvwUGy+uZTxk9PSOXmQ005W/FhlZ40 - iC/3S7g4cD3n+wIFkLvfAuuLh26IVFYV9LxrFs0ZbxBDfdzDZsw9IiAfUPtMn1/18sw5UbJ8SD5E - NQD0/v3CDpVqg0iOGkLl7Xf45Lwm//N+xo2qjBcda3Rn5V9znYqQ8lMUNkrpVrTpvzos5eOepJb4 - Str9qmSqC0Si+rQ9G+MHbw9wSKUvNdLgjfqdFz6BXFMSKsxsE/b1IhkuG0HA2iL1817vXQ/ye3DA - SbttujEI3xEs3IVHXbFjPndPcg9z/WLdWlv+WN3TA9z6YIX3B4F0w2FxvMF4fxzIan8tjX4ITgqQ - y/YbCs/1MRlP2oWBuTCPVG8/RkVgd97CIV0fieQ0BZ9s/MmQQCZClun5xtl7Kns1qC0pXLZhzPla - YYE6gBzieFV4CSO7XoQFfQ9E4mSXj+lAJRiP2hP72n7Ix3rJS2SKZ0r98rNK+msXRfC90yfW0IFX - 3bRMtuvrcXGiZkbsfKSJJoFmFhlOTiXxmTf5LYiWusAmsvbJ8FW8HsWXk44tPyr5dCtlEZZ6jnFw - lo/GaLkTWdjmaRVOH9Xln2Ffhqqytyq8S/bPalov3RKyhGRkfLgt4ueHdwHdUnW6OycXn6kDP8Du - vt9jD38RHw7fTQiXqX0TxYEeTbpUxWCbcYB9Ju4rkvFbCainnCi6j5JOw4oAWBswNuT9KeH6vonA - fTsCdd5sUy1vVhKrb7094sC6uOi11D8e3EbG8Gnef4NxdQS0vO5KrK9uC061Fw6A6IVN70iOqumU - bzRkfooJ6x/VRZOxGgO4D4aEA3NbdeSUb3TQorinvtudfPo+lzc4LB4ytnaqmfNVmAZIt+QzNtb1 - yJl8UGPkFvEGO8FUVsNl0AvYNM8d9nJedtN5vDwhT6lNeJh1FU1urqcErsHI9FksEtYUQgM5jRa/ - ejT48f6ZkOluW2qj6FrRqUxLWJeZgnfHxYgGcTPIaMzCCG+mz8Hn7saqf/8/tSPrXDHQn5Gqlecz - UVVb75bBWouhYJFDVOF6S8Z2bRfovC9doq6NZcdr7Upg001N2NxcL5nE8dzDJFnHuR88DZrcNp56 - LK2ABmd5aQx3+xFC5sgO1sRWMWjINgUcaPYMFUGmxiSO9x58wzDIuc83ybirewtYfVoT4iPRH/0n - Y+jVoIZ68/00XS1itBJvXriqT59ujOOOgRefs3B5zTY+2VZHDd62TPDOeRQGXwZyjRLShuHCwB/E - hqero5eVWQSVn1XeS+0tgIy8T2TSl2tjiNuyUZLU34SjkZ18en4ct7CBrUmL4cl8FknDE7H6sMY4 - KdKO3brlF4TwUtOETMeOUbkLEFvsljg8DSzh9rc+wT0oT9QQVIqGOBaKX78Ji+X7jaZnNVnK3T61 - 9Fef03JyIiVXzD12D0ljsGv3FCBZvyWKTXXts/HlxaB5443q9Bx3X/Roa6R5/EZDM6S8Z7WtK9Ll - y6irGFXCwuVWgXiAF769XtTnmB0cyA83gv1FM3TjPk4tJK3NF9bn+voUzCDQmZ8XxoP54WRdZi3o - /VPB28Y++eP+HX9h1n9svkqjYxbVM3UvaxW2r/WQ02NpO1AxHNHNe/lMxjiWbrA8L2wc8i2t2Pai - yMr35Znh+m4+/WnKniL4gsNp6j4+vGtOKwXainHsxadjN/KTt0VfXAd0E+89nySGECNDbQYaLNup - 4ltVaZQQbTusZeohmaz6EkGyfkmhek5kfyiY36O5f4SIZm01uI+vqJy04oSvx8Wej+1OukAm+pha - efHiv3oB/7o8UDzY93w6ZOYEXEIH4i5uEmdoU5wgCaMtvg/2Iifmei/CzWc6vry2rcHve/ZFMqUR - dtnXTMZVetPgex+eNFjoKBnu9ieAQ4qO1Jj3N9f3eQPFd1KI8Fufbil+1Zopa2x7XYUGhZVMlXGc - Y92J66QTV2EGUybUeFsOu2Qq7pcAmNheaHgiyCB1lDoQPciZ2oEZcBJ1/IIMtdTpTjpaCe/M1oP9 - e6REdK4oaTcbj0EPSUSkxdquxmGvyOgyaAY9m7GJxJ2LJKR1eow368yseuwXhbyixpvaxX7k48tn - GTzF4Ug36zzKCUtpDRG8Emw5r9ifzmMXKNpLqkn6kV1DChLWgGNpJb3YqZ6w8qJrwA5RGLaz35EO - aZuBYdcaPsjC12B2RgLZv64XZBAKXvV9ybcQGN9NWMW5lNMbWIXCH6GF3QcfE7b+Kltk3S8itsUn - 6SbnJcvwPMQldgJRMiZ3fyCAtbamWixDRRIjklV3/7Kw/li983epFvN61QOZZr2lXfYg6uOyRhRX - jWvQlhxPyqx31Djdq4Sk0+ig8uK+qUVOisHv73Mty/T7Ch+k/eST4u8tyBf1jWZvdOm425+/cnsL - FIqN6NBN4eKt//wa1dIPMaYKX2XU9LP4L549muR7QFBchYuwElSMRpo4IrjFoae/97E8n9rop4fh - YqE6CZMPzwbOp9Vu1muNS22bAEoruyAEKpYMtRSGQJ4y0C12RT758fIA7zaSaXCM2mrQix1BTUFi - 6qZ97dPl81zC4+NQjLOgTL6yKxegeT2n2uJSdnxflCUcvTKhoVhUPntPPIPlk6fUGjauv1Qd4QQ6 - SGlIv5dXzh6kDyAJ4y3V5WXbzfoTg0xHFILdRz4/SYYAq7CZyOKlxf5wzT0P6ZPmYGdLhZxFD+kL - vi5c6O5mHnJxrYUZGK2+xGG5Q2i8F08GiwMZiYREzCcz1BhKK7MgTVWr6LvivAZsqi122/rJKb0+ - AV774EIWfCIG1bACiiKNI93cijrp07hWIL0cl9Rta50v8/Qx+8mjES6cr1qNjrQn4Pjnmoy6afoS - 1p4nkAxLDtnbrji3j98JlTwY8Pad7bvRfSxLqKNXRt7665Ezi14tqBs/ptpHdPLRr04O7BafnHzt - p8FXzwXuf3pFdSfe5qvISjXwnWCkG4l0nOP8FUOjbgu6vbTHTlpx3oD4ELJwYtTy+W5rS4D2LKDB - 8m3zIVZBhFKFhG4vjeaPuDln8LYX6S+fdYSlXggPZxURdc4r3HhfMtjr1gNv3zkkPauxhqTrQgyh - GYWu36/QDfwq39GNblHOC3xgsFt0Of79PNysJILjK43wRjdffvelXYRuG3cinDDN59x/ftXZP5GR - Aq7Y7++vNTsP5fWxRgxLjgMguwb21jcrYVkyiRCdZBPjemHn/Of/hg27YZ3om4q/e+hhym2Fes8H - RZzYjQM1k0IcFn6T92SXOeg29iY+SHuzmxpgDmr20OMt+hqVWFHFg36svuG0KVufNUUaIGJzH2+u - Zs4ZOu8dhFbXjLrvgCZ0jUdprWgrSt7j0vPZc/vZKgesXbBnV6SjjCs3OG/Cb7g63pfdKNNMgn5j - LUPQFh1nV20Vw5vbHt5k56DjovTR4R5vMbWE593nOfa26OajC6nP+JxMU6aWirpro1Ca65kLwk1E - laL41LH0dNYLVAC55iRE6QoZJDGkGGb/STVjkRisZvcnGpdZT0N2ORmjlq0Yki6NGTbCc+EPHxyc - EL3ZZxo09GOww7qZEAyRRRNXl/MRozBCC/oaqE5Pbz6ejoMOz7s1YkMQlIqYoTapl0E3qBb5ckJj - 7hHg0vpAg0mpkvETrlvwhd2NrNYo6PjRawO4xPEVB2OVoUksjBu8/HFJg/DWJ0zrTAXy7U4h5ds2 - UK9095ui7sYGh7vDlA+qcxFQ06/aub7fiFsL5wlOJE1hJwVbProP9Yle1sXC9jBejQFH8g2hvrmS - lbNZIBK0k6Oa7k6Y+3fmT886mOAe717ha4cbPnZRFiFjSELqre+j8We9g88RU3P2m3y8+w0cDs2e - znm6m/fTBbJ13obvp+rnLLzLLcCkHqk5tqib3qon/Xke2U6fCTu/XQviy/VC7Wzl8FV1GGU04uKD - 5/rKye5wFYBczwYOjM7MJw+GSZnzNqkqwZjXy7+h/lEs6E643nJato4D9CIKNA8uWTWESiv/8V9b - 4dz6bFyPnuq+8YcG11Pnk5+/+dXrcWgagxn6haCcnr/kk5K0Y8JWVyBZ30rs08zpxs9a1pWuJB2R - s/3DH3VrvEG1FVyy3rpS1y5BucBDNHo858+cHfBFUL8vxyQ3sTD81f19b9BzkUXYnvPygF+KBnWz - fWObO2Y11a+sh22C9zN/+XavjFwuKBenXbhsd63BT8t1BInRiaSc/R5/nYYQ5nz2J++yYeXVUOfx - kWoPGlUsWW8uaNZvMto3w+fVBxUI55lH3dlvfqy7BX/6n/ldPzr2TL9fOJVrH3ua9M0JeqAIDLvt - wum9jwyO9gsRefbDoc7gH/MOoHui00kL6TaFnHO0X0lgR9aNauZlTKazFXuweGkRtU7buGL6OY6R - vBC2dE9Rjfic1xRnTN7UmdeTl+ohg30g2jjn9zIhK14qYB/zJ+nmfDmZ61RC5kL7Ymf2m6PJVUnZ - fe0q5Brq/BEVQY30ff8JVbJfJ1/98SDA94b6hydN9SvukdKpd2qpgZEvl70koMLLWFiFacmJaLsy - /PxQewpvaGrioIDuJaf4YhyXOVsJuY4+7qnD+nbXd81PT/uGXrBzftlJXxyTG9pelYCa6elgDG3V - luBdbS3kYVqicYAxRu940Oi5iGxfXHdbhmxWtNRcDknORYkT2ZMdC6c6u+REf3zmvMka8sWf0Zi4 - FbZgisn258+TnqO6gPbmYBpY6aGbdgcjgsDdsBDt2Y7z5TMQoWZiiItXrvPp9vCfKCp27s9/d4N5 - g0iJCu+G7bl/j17ABdilwo585/zR1dqRIP+KFnP9OYa0rfSDujklabje2o9Zz5YzX7ztQxb5l3wq - 7l8Zzf2JTO89MxiWYglWax6G4/y+P2K/b6BmizpcHbz6lxdDWBnrFdXdxqtYV7YXNOczIufNZExW - /QWkSG1O95Fa8SkxuhrYdpORUeBGJXnvOlTPj1qk2+jR5lN0GiV15gXhJI6oG6cvA9UM054I19uD - d6N3IFB4B5Pqh3SsyNUDDZkL/UtUIW/5+Lj5mfLyqUfUdhVVXF6LoKw1Mw/F+4H6U0IeoG4sz8D2 - 9SUbPH1eDrCqdycafEUNDbM9h8cFoXAZt1vEkvBIgAr3B7Vq2CcMzpUE7+EFISQrL2+/9+y2tr13 - RBg6JNWsxx76+S1brNY5zysmQMW8F/bfJ9QNdlnIKKfHL9XetsGnyUQCRJvDjqZ382lw6/B+wpgd - G2xnq5b/4X++kxRkMfvPXjDk8FeP1K5Pn6p/T22PrAUTwilIsN/7PG0Q32/UcIxUA4n/5rsQkZX+ - eiTs3jNFdQNTpptvte/47M+UYF0bNI1BTWa9iKG6L01qCGD64s79OHBCQ4E3qWHlS+nCvnDSqg12 - lO+R9/Pzw3nl9fP+9X1Ff4gXJNfqlwjhe4c4QFcidNZf5FncxZkHXCIQxLtKnqvim/Bf3tZBTEPy - VZ85Sae1B+FSjMPULGKfwVl4gjEc11gzU/Dbj9j0kB8Kgo1aW1cf46qBeluZIv69n9frcT4orfPR - qaFH8G/e3BRMDRHjFuL32D+tZ76LtUPEjHH2G9JyuB2w6T31hK+qoUD34HkiBqZQTW9VF0FWbqsf - z/C72LnrkDmKQyQj4JwxvCtAxlFOrerpJP3jQjPUCmX6h09MVz/sUe0JElmWtlmxVL3U8PhYW7IK - trrfmsZ4gup1SH78qxuteygAW4sW1s+m7//67Z/8PfPXTpr7J0jVXSfsVz+LGsofj6au2Cuom3ka - 1Ki9451wFZJBuLUFWg7FAe8FXlVDYZoHdH+TiYb9qayYlLgCmnJTCZX9ZlutfvOIq3QssZc6I5/e - 7SaGqMAuEd95kTDfyUPgp9udbpzVY+a1qEQvODnYPnHEPwprGbyadUOdgHfJoGULpnBNeVN84M/8 - N+9ATnP54kI/APoIXOyR/M0CbCbqkvOZF8L6WLc0RenCaFmosD/+QZ/5FnPyRwHbZA8hq4ujP/kq - 6n9+IXQX18AQ9c21UJJKacm0ecSc//LQrl4v6SZYS0jcDp8J/fivOTSN3/mXXofMuDc4nPlSP/sL - 6E+1Tsq6WBrMTM0a/fqzsyVJR9oky8B5eHscqOToz/lcUbbO4YC32tHIV+4mrEHcNBGBhnE0GlcH - lFmfZn3edFJ/cgACg/TUmf3TpD8ePVyGLaG64oaIC4eNDhixA92Wvd4xvXcd1Dp0IMv0JPojXLOn - 8hqbJ3Y/8sfnZat5MPPqUL1tP9XwVa4ZTOXLmedPFmKrT+3AqWtHnOgR+OTnTzVW+3T/wX4+5ylJ - yRV7Tz1p6qt5PnBShuK5xfrqejQYrT5fpCahizfCjN9bIZp+/o9iA3/4tB/cE0QngYW5rIj+OPsd - qI/cwcHwjPyPlq0maPZCj52kpB2Lq6BGxXGnk8U62s75QLeU62ja1F+VnTEii51geVZtukUdybka - 8y0s7rczEa73vuKFohWqVQsD9mRP88f3c4gAzquaeroXzfVctLA4jAV2kFD4fbxjJ2hbeBCaFOuK - BbeLDuLTZuEoGqpPjsxrQN9clyHdIKOT1CqRoYxRSJamW+djBIfwl7foL39NUYcy5MmeRcNsav0x - joUbXLX8hrV95Xej5bYamnkD3bbTyx9+/ekqncu5/25yeo/9A4oe/fnHr7thy6NCLa+NG66LtO3G - 1yNo0ft6a6hbl0f02fLLDdbHLiFSsayNmTdK6uLQj+GkL1ODv89tsX7twwsZZ77In5+SqUIiXGlg - bo1q7t8efG6LkMgCefKpPzUnMOKqJd0VtcYoZ/tY7cxaoZ7se1wygtJZR5vTDlvm+pJMou0q6Fef - IVRR0gXGt0BsrYy/+VMyfioewOyPqaNvsLFyjmqB2o8RkLfe9P48Pwih32ge3uUXjP5PXoquVFuk - XT5xppxgsZAehNdaWnUIIlE9WxXBZrM8VKPJKweyhJuhiB3PZ6/xVUAqfw7YWe7PvDe3gQ5YqptQ - bdxNMpHzo4GZXxLhq+o5n+dFkF7Oy1BqcIC60dM18K5uR81XWVVsfZSf6MejgzS++YNmXkR47fcG - GUnrJivuqwfASFoQceZ5/IYeFkTQCdT8Kn3yxy8HnzMmj/dSTyYbwxYeQv8mi4Xa5hTnQ/Tj51if - jD5nV20RwQYsk1o37+jT2X/DPM/FV9vmxteFZAs/Hp1lhewTlr5rNBTllrR+tjOmOko96CF4EcmU - dx3f7B0FudD6GC/9Ph82OdfgN8/ieLCNqVLcBk3m/Yx3JCLV6PjJQaVr7ITo7HaIsUo8/Pgt1vf9 - YEzPUC5/eTvc2/cBsTo3YiDyxcU3c2ca/95/95NLjTS85sw29wJMaJ747C5OsnSlhQWa1zrUre++ - wcgudpSfnwnk49lv5/wLsz+merhwqlFh7fRnnjPzLDTKdCgVp7keKZ7ucdVmySSBG9gy3jHhyvk8 - n4fVwdLIyoxffDxpEQO0F1dkCg4p50pT6CDT9kVT81pwEn5jBvqefKh2/V449S+1rv79OxXwn//4 - 66//9Tth0LTX22s+GDDcxuGf/31U4J/ZNfunKEr/pNKfkwikz8rb3//69yGEvz9d23yG/z209e3d - //2vv5boz3GDv4d2yF7/7/V/zN/2n//4LwAAAP//AwDEQCFy4yAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f8d1a601ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:43 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '113' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 8661336356ef48d82e1565d3fcae73e0 - status: - code: 200 - message: OK -- request: - body: '{"input": "Sample text", "model": "text-embedding-ada-002", "encoding_format": - "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '88' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1SaWQ+zvJal78+v+PTd0kcBkuDNuWMKYbQZMkCr1QoZSEhIwmADLtV/b5H3qLrq - JlIIUjDeXnutx/6Pf/z119+forqe+7//9dffr0fX//2/5muXU3/6+19//e9//PXXX3/9x+/zf9x5 - rYvr5fJ4l7/bfz8+3pfr+Pe//hL/68r/v+lff/3tJ8svlV+lXVErX4hr86DtGZaqBPGXTM4QWJct - s1/uuu0vFk4A2lFgeIV35sSNKVDv9kVllpCZ/rjpGwtlO8ci2rmTUy7XSbCWZeIRLCirli3MM0b7 - PfhML9vU77yaOzCpzgOPsfou+GDZA7CrHDJHua5Qv45FCvbHrQjWvhQNGcoSWCcSZ3jbaQUv3CiA - nTFe2MY28nYSat1Rq3y5/z1v1V9uJwv2z/uR+A/liKZFfTJgWXzvzC49K+2bLCnR/uaHVPLMizko - 1k2D91o6kHBEpj/4MRzQN9QsFiz2qfldv60TbBdhRnDKGj7hNw1QGdoRC4TjvXjbffNAephwWo63 - O2KW8T1Bp9Vbps/j+zLxLkIpFwyrq0+bcjtLRNh+l4QuHgVBg2IdNbQdPiExNL9GU+fbDvgfMmF5 - v2mrfpOdMliJQc7O7+jedjsqRLC5BDXxZU30W0r3ETwPxCZ69Pm0HEumAg4qETFu6ZeP2w/p0Jb5 - HgnM7FJMW+mVwcUtMZVraZPKlmQ2QKiyYyGL7uh9ML5n1O2FiDl+sm2ZXi4aUGrjToLypVV8k+kC - rPKrTSwhq0xO3a8HmZiURGtzoWC26XtwYmmDl9Y3TCczp6BM0/XK7O+98Tm86xoJzD/QdUDkdJqM - +05tfK5QNSlIym3TdGBzVFpmfV/LdmijlQDv3WlBlRgZqZzXrgam1gQk1E3bHA99noAYFicSViL4 - v/cJJ9mTWfgJo2Jw0AhQeKZK9PU2bsdHua8BkpISMrpFxadbdUZrt34wa9Hf+RD2uQHvsrZJeBKr - ontklQMPMROwhIuw7epbvoKitwmWniGupoUkX8Gj8oa5JH6mPMjfAXSLmBJn88oKjozvE4510ROi - q006LNDkge2YWyyH1scfev9aQxIt9uS33kbZP4iQtG3OsJe9zPHzvgSQFG+faKfs4Y9Ln1F4G0hl - ni271XCBdPjNH9nGpoWGY/QxYL3Ybim9jSPqdHcMYBBvhCrlF5tjCr4F/uXek2BCRTudwTwspLI5 - Mkf0LN7ujayGaPgQsg+okE6b18oC/dH7WNF8p+XoOEZIWq/fzF4k25Rn6tZAEnN3bF4/5vS5VRgS - DW3pWrIZp/6xNODj7zKs7lyj4H5+2MFCo2/mj4uhGvlr0KBE4wqL55AWTe2uJ3CjRUpRsuxTniCl - Af74Osze7seKunXToftqU5CLKvQV9d/BFV3dbsVsnNt89G66A9LuFrGNZ6o+7dD3g3ymMUbW3s1k - phGVsPH7J3Hkyz4tlXxZK5cw35Pt+tGjLxUjAVarTUl86FaoaaLyAUXxDvFKkd10WYjaVfXzpsbi - C91NHpcXAX2X8ovoWNm3PImNEwxuQ/GiGnA1BMfhqpyn1iTGs2Gc5+pNAdDNjhijtU2HY1Qa6jq8 - fVkgxldzUlEmgkA0hfjdlxY8rk82CC5d/PSM80wlBir9N2Z6v/HaUarz4bf+mKVvfF+k5cJBC3f9 - xamcPfhwMz4iPK5QE/MWm3/qB9Urt6HiQf6kDbyGBB6LrUG2G6Ezh7GPPciH2iTaa9Okw0HyE5Dl - 0CNG/EyrCW6ig3YfItKJ6vuKl17RAckfPtMeRtZ2bpzUcLxvJzouR+bzdbey4fRdMGaORlm9lVh1 - FLl2gGz226ToQ8k/w2cQBeJt7g3/ip5qoVNEb8TcOFLapGJsw+KWTsza2LjtVuK9AdbnOXNr/Wj2 - zB2falc2e7ZZJltzet9OB4U4uku0UPDa0RUzEaY6PjIHg+CPRHoFUL7FihF6kdHrV39BSc9su4i0 - djnPjzLXE9EFySqGm1HK6lcuRiqt66Lg255nUK+bDqPFMUd8QYMr2pdNxBzhdi6mvefVoG9hRbQq - O/Fhri8Y3A/F68UkFr17XSWKL2ZrpkUNSf/0s9/8m9/3tRhqy7bhsjA45ZZntlNwXK3QWlI2f/oj - /xhRAxfxwMj2ZJz8YUVfJQhDk8/6Nlb9PB71TQyJzHprct1ngLwwkYjnBIHPOXI8pbftjvhV/ESf - MHMPkK/5huiPzCg+iRh9YGudVnRSzHPFhZ4/QUKHAk9DJ/PR6vMAsK4/iFvtk2LIpN5Ai3KQ2OmK - CpO+3I8CEvN3mH/i8zwfyQ7ebeSxTH+KiIe3agerBztioZGbaqRiJkD9GO94mPWtu7+FDiWHNMJC - aNop/emP1dsec5djhMZXjc7osTsMxOhNk4sXKAaFH1cSI9I9MMdHrcngRMOXmMv+XrEsO63gGxoW - 0d/0WQ1uuTQg9M+UHCSkV/SE7jV4/dEkzuDe04GCIcC1/CRkW+UL/pHNLoNFkbXEm/RjwZS3JYIV - IYva/aOvaIuyCZIkc/E1MYqKD7dTjdbrMcBIMApz6GJdRGznuOTyDDo+vo0sUOpJYrQ/XQ5p/6tP - d3pUzLgIvjnRuPCgZYbMglF1EXevKwrV8/3BpRUt+WTXjqDglovE0erKpIs60eCbnDDdZYHHRyOG - BzpMJ4+ZC/Zph0eyXMHx4pxJaGQWf2WmMaDjdkjZtZa25jRl7mpdRZ+U+Y73SulwLD14beUnva0f - pJ3KPi6hUYuMeM1RQ3Qn3gHO66vGDDT4aPDk2xMZN63/07/6jbGWwdQ+AbkdslcxgjEZsLpOOkYX - ZFRUkPoaXVahTGb9b8tlHghInnYm5fp2nJ9fLIH2AWP2+rmrvoz2HSxs7UFcP9I4f5XLCTrx3dDh - pO9NvjB3gWpTKMk5vj3TT1Y7NbLat4PZxzXQrH8yLA72wELzIFd9Kt9klLOthlnaP/3+dnsAXJlP - 8EKLCpN7pjRBOGUOcy+LyB+C904B/FZ6Zl0eoTk8rysHjGQtESu8GVXf9sj602+suX+1Dg0i2KhH - gz63I2ung5deQReTgoRaK1V90zcBDMl6gRfNmaec3XQKaVJzKsalbTJ0HBM4olEmluOW6ZRH4w5G - f3ciOnhVwfANMDI+qUA/p6zi48LsGng96iUje7Ou3o9aT8BgNiL4cr0X8/OvkNVbHjGWGSq6e5ZE - IDxvCdMf2ohm/26j90vRmf0q67azvEqGJsSUOQux8Idbn9vQR/KCLg/52x/jOm+Qv7BVLDquVvQX - KjzQz+9o1/xVjXavADKe2ZJ+6cn3uVS7Bwi+6IqF+81C7RJNE2A1kolNjlk72Shr4NA+BOJuqrhi - 7OZ260V7XeNF59Upv4pNgH7+b3nQD+1w9FoFAu2p4eUiKtse9XGGdKNRmXPVZd7tclojXF/WzHTL - FxpyP/yg55s6GLT+nA5vz8OKLigxM8/1wxxM7ySguZ4x19zSbG8it5BzsJ+UdZ6ddvP40QJV21nv - 17w81yiActttMVBl5XOl1wBkkg5zPznwaUV7gKA4JHQYHZGPeyPzYCM6GtvkjsSbU50rwI2yY5tn - SKshvTkCBFqtsS0+ar7M++YKxDFdul6592qo8/2EDMd/0DWJn8Xw8VIL4aN4I3qxC/0pBEmBaL2M - 2TZqxYI965ODSjXomJks22qY+6WSfcuQ6Vmy8On8/0rX7nLmhk/J51mWrGDUPgdMh3CouGlkJdoX - kU2Sr1EW37u0y5AiW4zgIRxaNnnptCLr5o0XnK/9ocrAQGaOzrg/nBNES2NyQPO/e6K/zKodTrE7 - KOQq2kRPUG4OeXnZof3QXSmXMwOxbc9PgFT7gFdm/PQHtXY6SA5xxEhuef5nHq/67DWTBLFzLLia - pQaYET0Rq4syNDQoOkBS76/MOXeZPy7rpgHL9kYKrj0Ug+EZFqQr05vra6ymnTt2UD+jirneOuVD - i74BwoeixXXQHVs69XGtBLV2JJoib1uq5wcb5vxCTCw7Ph/o0gB83wzM3z9oNY6iQkG2LUowoe9i - /OXFWW/oevfxioGbxkcNl1OMYee7Zn/sHw7s1JdKr9oXozHLkjOsJv5i5ub2KKZCJgG8rcNIAvda - IhaXe4BbcZ6I09usGub8h+b+xKKm6CoaZVUJBzmN8cvdtAUPPG9CoytlrNBcnUtV7Blo7tf4NcIT - TWq5MdDGeDx++mZOijgJIJS1T/Q63/CprXVbMYfpQx/562iOW7Oo0fpSLal4FBXzHtweKzXf7SjD - /uHAJ4PKH2VzwfVPP/0pvbkZOhvl+9/1p7sjVrWjfGbOfkHQeAC1g/l3on3tntPJ+B6Q9chsZvYL - ivo7ikpUrz8d0f3YaLmM7goIkrCjwrf8FK2fXw9gX5WE/ep/wNkJK+G7M1mhZFa7TND0UYiYXAkx - k6/J1ffijAZjOTJjtN7p1ERlqcYRvTCyFM/V8DSfB3RW91vK5jw++uK3A129Xej6tqOcrsQ8gFq9 - c+bja15MgvSq4fk4hcwWcZKO77d1UE67d02n8tsVzHfHFWyKccJCMeCUd1krA38vTKJn387vl+Bj - 1PfGBrNt2rU86x81GDejx0O661B/zamIgnwZzbyjLEa15x6Ux2E/55GMszvSbPQ9xHtGnC/x6fM6 - 1LDPlwleXk9exYNbcoW4yO54+XTv5hCZxQnqacloV4aRSX/+WBCrkpn31zGl2/JCgdNJY8a83qcQ - 1H/7BS+N7v74fVMbXktVo4/FSIrlnPegOIQWs8Lbo2KzPkP2xAnx71D74ymD4MdLmP6mVvUnnz/l - eMesd1wVtJHODbIOeIHv/carBkOcDqBotTfnZyuV9fxqIbZdGHShRcgcN6pdgsEsRJXX+4bY8U3P - qL8dgYIYC2YvlZcPuudnnW38DKHxx1tM4rtUzL1zO+ZZtUOraXwRq14nfETJ5vlHj+O5voaupAlS - LS9gBB/vfAqNb6BcDBYz2z9I5iBfVxjNfoC+Vh+35ULWruB0ME7MEM5D1cZ1YsHxcLwxvdalor+j - 7AHZVlApWvZmIW99bCBZoy9GIBzQcE/exto3eIHRO/mk3IxFAey8PjKiv3LE7f5RAlyC6Y/+TF25 - l+GSbU7MnP00f8XFDp5krzBXuOzboSmDEqpc2hPjGD/QGIjTU3VytSV0CKN2PGXizMv4hZgNXMzv - slxmyly/xM2+PaKBkR2U8m7WeDGWTjXmZvoB/SqbOKYnt6CsRh3E6KHShynm7bBFd1ud64NpXztE - Eok+gTLzDYrm9UGdOpfR7MeJ9zUMn1vJRkbkwc94Zb3rivc0yMAwlm8KZNqh3/uGWHZEQo6H5ewv - 4g8U0zUnPjocUs6R5qgXo4+Jx2ldTYZ4V+D8BoEZvnTxh7VnJIi+FREPVaZwBn0uQ1Q+debM/qiX - 0P0K+lZY0eecd7kJfQAbdW8Q114NRfOmwgALf3fBw40+i2mXXx107HFDl/V5rIby/ZLhhiqNbI/H - FWI/nlNOjw/78bZhf2soKqNFRtdGeeOsEJ0zKlXcMbfqDd7bpkcheVyPzE5OXjqk4rdEsBW/xMXK - Mh2u0DWwdTtOdJLYJhdM/wDQxxpz4vei4J9YtdBeNnKqdi8N8Rr8J4r9Q8q8SV8WMz87QLNd8X/z - p17UHj8/SCELuopHUt+gfsoIM3qzQpPmloOK69sarybRSKeKBt6vv1PI723Komgs/+gfD+9uwT9G - 1ijZM0hwKSxbk21AtiG62QLl5ftVTY33PIG0Rm8WhpvQ7G+SWaI5f/7pv+z4rq8w5w3i3Kjtj/ve - OUGXL490dMiunTJp94RgV+1ZMD/vzIsDNG4gJjOPQp+5f4BsvTvM5zz3aWvng4zd7st81XLTMfXf - T0TWnzeVVXiZbLq1V+RotMDLbdqg6STJux9fYtYL3X32krdXcBpzzXz9qrUDrXkCbOe5+Df+YStJ - MqxRoM2ZTStEjfY7hJcCwu9J/vpjFK1t1Drbyy8vFiPNQ0dZuOhL5UMRIrSPJQ11uxumuSkJLbu4 - I6CZNzHfdZbm8FCPiQJb+Yvvx/RbcanWD3/4aOha35Zr/s1WZj3B9W1Kq2FKrvjHi6gQWy4fCcrO - MPtZ4soFbsel/+4A4o3C9OVIzEHsJwW+o/7ByjG2quWc31Fj1CuMikgvJqHcK+vZf7PNukYFLZBy - RspGSLFwOHUm38H5pCyPw4mFW/o2Z32MIJRjQvbwDc3uod4SNKKrTNFL/VY06LUnoDcNqXS9ZubE - 4qcB8/oh2GqmYkrMrlMuFk6pgPWVyRxqRXAX8Y42tvxtuRiVAzD3apFAhoXfFHUzATXOF+Id1juT - kXJjAxOjFwvyu1+MeY80kMjWppJuPlPmuXcNvhoKZj1QfzyoRvfVtsDru6Ejvqu5rJ7Er0jC0neL - UZIEjL4XO2FOKASp/Oh5AqeNEBCtNsFsr54nQu3omBHSlW1XgKFAsLvvqTAtsblcxcUJHR+Pms38 - sJiub6uENcIa0RdcnvvR/gMXLLp0fHZyW8eZeAKrXCQMO+0eTQWazhBG8opsF1FZDdf3DkD/bHd4 - 0U77aoivK2ulYjFiB9e02t/7g6OmHvAg+nXFmKmu4FCcB+bHnuAPsdlFSH1Gn9mvYC6d6av58UJM - PW1XjWsjisCxXg+m1/kLidfj6gHHOu/JthENc1nHHUbxs52IsfHOPuUqXoFVpyFerIIwZVjyFeV4 - 2N+Y0xS0mIbjx4O6v7yIczE3JlPgdUK6GBXM4dPOH+d+DN/p0TCyfrCq59L5vE6WcjnrQ+93e+uw - gqN8Q2xD19ycHj2P4JqPNsOEblO+rCsb/XiUdtDidiiTgweqAB0eNLIrJFs9nsBhe3HmRYb/4xtI - vu0FYiXXJafJdXiosta9qJhITzSIWYVhvdtJJN5UDHWpu05Avxx1pjVFUI03tj3BR3bWzD/XFeez - v/jxJkJURfPb4ZY8YTEdNuzHKwcq3ygyb+TItPF251MjnT/KzDfx0G/HYiTRBytdLh2Jqz+wz8hr - 2P3J48FjFfvsm4QAy+R6Y1723pr9Ekysju3pw1xFNKof/0HNxHbMcdUPGjvqCz/ewHBioIr5+XUH - s9+hpejbVZvE3kkRqdDM/KszuzwaVmpziYBtBiK1Y6PiBhwXXbA883P2Pn4Oir0wKFZ10/b7GE1Y - neT9i4X17VLIFQ0c6G5+goX9pi84icoG7dHpQdfH1C8m0zMekIqeyYJwyzlr+kfz25/Bk+bbiIue - 9AB73byYt6vNakzqRwlvJ1xhUd/45vg2ogDmPES8XV21XH0vzxDaHqc3ZYmLcQ07C/aMFCyc+T43 - jh+sGOtRY945Opn8QqkNfH3esCBwDXPmuRg8ox7pauYVHBn3p/ocFvm8X/RIeWMoJzTXC7N69WPO - /fkKf/KLuWN8jCXZho5sLUamq5KOddwOaNtGJsHmjqD+Y3xtQO8uZLtGkQum12iCviYOFub8NgVG - tlMkWSuZqegSn/T8YKFQtQJmvZ6iyc7u3f75GzyGUKHBuvESplI90847T+24/WwpFI+TP68vnA6n - kgYQ39LPHz36eJB26CobBTFUGxc9elMHSjtOiXWvhmqwJBPDPUwUrI5P2eRr2JWQ9cWO+fHd99kT - KfSXN4nH+srvXjfdUNjEKzzNevlagh+g7+N6poMsWf4w91eQcu4TM0cal377UcJt4+AzSz7V93Nc - TbDfCz7zJcMo5v1XT0V1nLNIh6qazuWiBBGLmJFVEBajk4EDc34kxIqFduYtAMvQ3jNtXi9Mgf70 - 8xvzeM8+JaYnKLzgQDCQY9v99jPKcSti+bJNqulNhQlm/SY+ojYfFeProeGmLWm7OK5Rr/TOA5r+ - 6OEhN81i3o/D6ELhRZL5/f14ujr5lUWF++2JxmtOZaSGR0zlLmjToUeTBXM/JES+XdCf77M/IfbM - i5nZawNaUZmwoF6L7VD2dwGC7/rKDPum8NF4W/jn18kmd/Z8kMyiROhAfBLO8zOtbu4DHQ6OhJdZ - X8y82RPAIXFN73GtFNPUx09Qit2Z2V3QFvP+3gQfrXv8eGPL1vEzAfuZnJnVfdx05nkJyKqxpbxG - 6+rnT6DGov9nv6P/JtdMKY/TntlzPxmy0rrC379TAf/5j7/++j+/Ewb153J9zQcD+uvY//O/jgr8 - 83Q5/VMU5X8y+c9JBNqdyuvf//r3IYS/v+2n/vb/t/88r+/u73/9Jf85bfB3/+lPr/92+R/zf/3n - P/4fAAAA//8DALL3VtrhIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f8f0db91ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:43 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '126' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 770cfc634282f7d300e1c0e1a63f4cf6 - status: - code: 200 - message: OK -- request: - body: '{"input": "Grocery list: - Pancake mix", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '104' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1RXS9OqvJaen1+xa0/pKhGRhG/GHQRM0ChCjwAVARG5JEDOn+9631PVXT3JYGUl - VVn13PLvf/3587fL60cx/f3nz993NU5//+unds+m7O8/f/77X3/+/Pnz79/1/3U+2vxxv1ef8rf9 - d7P63B/L33/+iP9b+b+mf/78Haz7EztVVPKGOp8CjqGzo+IUooBfyXmE2jWjFD7Oeb6G32MMRD6+ - 2KGCbT2/Bi1Ub8bosxtHFl/LL6fK9St8sDfNoF6Hat+Ao/n0kPQO13wJ/DeF+cFXKM+z2ZwQoQLQ - o3FhR5OINT2UlgODgMpMD7dlsIbHSwQ1K2rwjaMGrODYneH+jCfEXyrKRy+AMWiePKK1LEK+QHy+ - wHlkJQukncuLYKYdlO2lxF6iXMwhPb5iuJzsMw4OzRj0GfQcJT9uKEPPLhqYcphCaBuXCdskE/Px - cshE8NnaO2bd/ZKM3iXzINcWhy7SiwXsvuY9SO+jhs1ot5rzKmmtqvfKF21CzTDntlgMeCVGzDQF - HMAcVbcHpFg7I68/n/lq5poGB9EosHe+bQGrr6kI7536Rjt40clSPAIFena2QaseMz6n5reA3vTM - qISrCIhzYY7qkEo1Du5ykTNfshUYBjuGce3aQfdy9jEEDyQhNdOtWhSM0wwfOd7T+ZqkOQeKUsKW - GTqzglUnktvoZ6ju3IhhGWPCDJCLsH8XK7OEJgRz2W0QRLlT0rm1jXxshqGHpXSc0dm0RbN5apjC - q8M07CpFwqk67QUYbdiGLlWs5iNMqxBOjZQx7ed8b+aaoSbJskGqsN/zddeOMiSlA+go2xqnVIw6 - eNPaiXklr/NpPCUZSHm3oTsttLjYJUCEH0vVkJJbpsmAGWXgE4ATdtUXyuejOllgGGuFsgm+AQ8+ - JAIjCi/4KggBWEpDOsP2xVIWxlVkrtfWSyCUhJQKlHHODkP0gILjqpQGd4Ez08susDhIOm2fk1Ev - y0OJ9r/3BbfdllDf4z3Y9MaAvVuA616QPxk0BQFhI2HbesFfEwFvumfYat2kXv1tF8M0b2sE42o2 - 2f27FUHY6h0OQKUOS/wsOgjYTcNOd/rw5UkWBdx3WcKC/CoETD3TAsTsUbHjNusJi8uTDzUxz7H2 - Edt6YkJZqV3Ti0gJ8m6gSpHJyjOUCdOZMPMu4rkFv2MUUlkFUz41dkU3XpOODI/HVz1MdyNWoZsX - CPTE4NvTSZmVZnM5YjxldJiO/S6Dn1MUM6NxpnoWrpMGLpdixL4VE8LvK+mhNzMDm46x5Ks6LcKv - PtAJ9ePAs+85gerTEOk2e345k5pVhF/z+8IhWhu+cj9J4HGWO7SOyofMnepTkFblFj+mqgXUP50K - INu8xH6kyGSe/LGHcynk2F++zFzRCcrwIF8yFiUbJ1iz2xJCoB5rtO4f4Q/+1wrw/WbAppJV9fLz - PmjsC8Ju8PIi47g7XWCtHz9I6O8nMj9UWYMOsDB2P9dtTfGDX3bLyT2jtyAEfA5m2iu5dXGw9gS3 - XLSVO1LeShexm3Ev81Ha6BIMHNli5ntKa26OL6RqjgroqscYLKipWng/CDLGSunzXQbfHdQjuuDA - 1CfQdaNrQXg9bViAkjdft5X1H31k3hC/cnq39URtnktEd+cnDaj97HqofHc22gvXMWfdcCphs9uO - 2N6UpknxJ/UhgqinclejYb14KIYKHkJs18KeLOm9fKid3bnsP3g9Cq8GQvbcYb/gn3pCpBWgc0i3 - aEGNRbZOAmWIEPcZvs1Hc+5G1wH87uTMnZ7l8K1031KESzUzZ6NUAXNPpAUL3rh0EOwccN13KnDf - RgAHwoeYPBOxBKbpJlO9zgb+M38DTsnLYiZ9cUIbRB34eBYczUp6HuY1QSXwUDGh7bedgla+KRHE - TlJjT03jYNZGflGtuwCYldk9WNq3mMFUkHy0rgAFa38FPnBnE1AlUhLy/dWHS3oqmfXYN/XqbpQL - tPzpgqSQCcEkOycLOqvxwsankUx6bbUMBmvoMo0Z2cBYavtwmCwfE3ThnF933xY+Vd1n4baq6u+4 - kxTwsvoaO9tbY87FVSuhYTsVO+LQ5Gttzr36Nsw37UjekOUa6gksDqKOk2NdBHOeX2MYtmaH4A4W - Nc21cgWA6AMOHhkZFiaUpcozKKB+cGawYmVMwDZ6L1gPiQcW+rXOsBYGBx+Ea0gWMfQL+HpIOUPa - YpBV1Y9nKDpEp9/cvJGJxCQBei0k7PgYFbIa9jArz+VsU2kV32D5gKhTc7FQ2eksOXx18/oBN09x - xWH4OpA5ORcOUEzZZeeUWwEfIlOB9SrrzJIGtW4lcurhV/EZfe87BVRLaDUwXGMBAb6uZDSr7wX+ - 8AXN9GaBrTRePLjl2wRr5rWp1+s+75VBYpyh6+cLZlpqMqCepbPg0ITmTPExgv2nxcyCZCFLVh0c - oCZOjd0eVmRWx20BUuUTYWfneGQOfM+DVWLq2I7le8Bpr81q+HRjfJiWD+H2NZlhmAQ2VZji16t9 - MyQ1wm8Pa1dlHmZzK7bwMG/3ONDPh7oNFA1CedoBHFpdZs6f16kDXdgmSJE2ZTCB2+zD6dRyhtxL - SahLjj1sd9adHekuDJZpqRzIn8vKcGepQ6dcDy0stJXQ6vTSh9XSaQOueKW/fj/85K8W9DJNqcjZ - GCxkDQs4A59gJ+mmnN8G1MBL3B4oWF4xn/tVHmGSgYK+m5WQtT/eL7AQPyICo/Qy+XJLBPjL38P3 - aXFeL4YMwqk6YNdpH2CUn6SBCdkEtDROUsD3Z9MA/HO+0Js8XWoeiaoPji41KJCuUT1qzb0Copc9 - cFDPVj3+5EnYzYJPN6/Xk6xcVxqwc1eHhWi1AG/bWYYxORyxu4nOA5djD8FwTzB96Y/OnB+jmKh3 - d5tjL/vK+RRQsYG77HlHiib79dI5yP/NX/SjvhAZ95v3Gbbyt8ehUxpkCa1IgSsQTv/h33ScvAym - l+7Mkh9/XBuQzTA7aCaz0zwnnIlCCOJb4jLTfBJzKfy5U60GHLFGb82PPocRbKMPxu5xEPPJeWUU - CnZpMisXmfntrZMAYdDHzP3sQvCbt4E/jgEmL5WStV9GpPzgC4elX/OxlXvnF/+0mMOlns0sqOBP - /mSamAx83tcigms39uwnv5LZnOIZGo2NWeA7db5eotEDnJsZ2rWeV8+i8g3h7dDnzFG/zrA7DFEB - jLunMjNu43wUjHQF9+0Z0O1YCcPyGPwYPob5wH7nuzzJXoYkPzvMndVDvrW/c/XLdyQiuvI5wmEI - 2aVCaEnTd7D0AFry6yb72LXTBTB0189w9xhvWH/yTbC6+fCAfU9a1PZaaG7tz6eCfRoUVH5Etrk0 - 4seASWx12HKETz1ThxVKdbJm7GZLVA8B2zvQubIAieZNAWzL3w+Aa8LpfhUu+Vyd6Ap+/Tjtciln - wEwSuHlKK0X++g2mJS4ewHD5np6h3tfcr5QOonCYEI/bmCzuubPAbd3pGMe6x+dObBQAbuc3c/gT - DMuPH4CqQgoLD8Jg/uQdCPsxN5mb4ZTM3tNtlMMnjFg6zFrOf/Pad2Bw2v/8p/hyxQKQkBnR9eCA - YP7hh2IcQMyOLK0Jd8DmDLSDmzALgycYq63aKetrTpl2TfZkDC7bFj69If3RD42sJTJ6eHg7nGm2 - bHDRe+IG3gfboO/seQAj07IOpMo7orvTWQ8k8WpL0Nt9CZrRFph0TU1NzQ+egu9PtNS0CB4hcE8m - ostr+Axjf5F6oJLt/wAAAP//TJpbD7JMsoXv51dMvlvyReXU5dwhIHKyWwURk50d8IAiiALd0J3M - f5/gO9nZt154wFVV61lVH9qVTZiLTR9+IX2HnDkXnQlx0I4D0o/GfqrHNGLeNsnQtd2YWH7uDPHj - PwgqfaTBLROt8J+8QdHH/eDCPSwD6tm5Afv12qbocfeC4UNTG5q+e5LV+VxZ/NYyHU39iuC4RDkr - 7u0cuNEQ4kRzkfcXbS5B2z10ZuFYoM9B/x4gHMiD7rOaT/PWLQCPqztxtvtF/tlBcgMzNAVZeTjK - uXriOxgjzIhH/awdu967wcHIN2wdD+tWmZ1TB9SnI//R78eSZhIcIyMhO+tot+KoPOql7bOYapvs - goSrW/ay748qHhaVKsYyUArQ/XmKO7zr28HYmzuYeJSWl+ER1X3wcGHSK4mlVyh65iUmHOaDimem - XpWvJNkfEH/w88QDN0v0w/WFlEutYz7/Hsruy4dOvZ/skIWxaAV/LDGgpfcZCJn1CurMMZJAKiKZ - 4eOal5O/yKA6ZZ+pH79KoW6fKVS2Z5JgmM1a6oaDDKcHVQj2uRfQ720HgDeyRkssB5ZsfvgXSFFf - qPCKLOjJ+DAQ3bMvMfGls0STXVXYPu8LDEGQWn1RqAncrXlFct+x8p//g9ToXxhW/hjRZvHJQNW9 - PZ5Pfo1W7vkAPz7ZHtkz4FXX+DBycmE/3p3LGQdo7fud2RrO0RBo4Q3C7SzED9NbIv7Tb6l0C8qj - 3Rr1tlr6sJr1V7ZiF63k4ZE7iCPYUy0oCyQeuxFDJJIn1seNgpianuZA3s+ejklM2nlfHykSFFcU - 7WVaNutb58Piqp6Ja9TW1I8hRG42WMRkctqyMLl/wetWNkbJ182VxG5s4A394sV6EwTfP348dgn9 - 8QZlmxLQ8qKd8HgHy5r4i6N1eVOIWZ8+lvC2SQqSldZsNemZFZbO0Wa/wnjZ7mZR82gNDHO94XQR - QVuKMgQD9dn3QQJZeSN+Ni8SPJUVZXhtvdAovR38Z75vdvjQCrzahUv1eliRn5/lB6uiv/rDw2cl - BN1tZxRskRjEqsxSjEw26R/9Lq/3PhcoKZtlYaaEOTVK2g+IRwgvii3sjOtHOYaFByAv6y1erD9m - zjfK5ak/LbxlXlAWgodj6QKzlhJZe+glJr/FUWWuKuJuSwhGI1s30A23D9uO4lp2WEkPoOzPjG1b - npTCl7eq/vhWD7x8RpuAD/EzQ8qGyHhWyJ+WV+55B8nx8GWW6m2sMUkkGT19/8bsPqQWvVe5A8H5 - nWPQ5pXFZG/FoT0xhyr36htRgFcNi3jeMtd/f1tW3Ms5+HpNmcUsvx0zJzV0nM4siqZ6ouizT9Cr - 8o90gbQk5x/jpqL0ExNiCcXOeym4+vq7t3Ja7W5lIILYNfTnZbEguNq98nFfYRPUGEcMn9R1xO70 - dtNTN1yzu0pI/uNPpOfSc8qrjFxpd4GOzltvIG+leOc0cxYvWLiPI9mjYyM6XdtdYL66bInD52sk - TuT6RJMfoMh3rKj5cpX++Idy6VAH/f29deH8Pn6owHL7ywfpUmHyg3aLp9nOi2MLEJyrHKsbY4k+ - zLuZiO77LzF3M3+af6RG3PgSEnTxR/Rmur+g3ahc2abxSMlP34+JWqcGYhRsnw9Jcj6gcGMiYvSL - bTuUerIDwww2BOtOi0Q5+irqtOJEjKpsg4/nbB2gIrXJunveWuHqgQOvlU5JGItAiGoff3/8Ov1/ - ftStExzDpM8pvztYIj6z4o8/EjvlEAj4yCo09z0j/tLYWIvatxLIHyQhlvNqyvf9UKUQF4PJ7ofs - Eoh5zQz1p/csQ7OgKN+BgX685h3lbyR2j4e+xOGnZ5vFWFp846YhzLvtjAR7GU95UJEsrV62MYrR - KxiVlXqDQHNTvDhsN7l8hbIALY9yZuqG1Q7bZeVAmorZ5DdtJD/WnYz22m1B9XFzEgOX3Rfyb1HK - cDJPRG8R0aCFc1YZCY1nMCxfpwb8Wf6ko9tdAsp2K76ceIBttt7Vep1AGcCY1TXWknTVDpaUZcDO - J5NZj/wU0ODiqOh2PSbMkxSrZeQtUX20BeCl1nWov9SPTo/HI5CgMd/5EMElRnGeLfG4mJ2QiM/v - 56+f0Bkyn0EnvEiFoDEwuxsfP2DVmV+QvbPPxNzqMRoDCjUEh9anS/l9ijhr9Tl87iBjdGlJ/nk9 - Ig5Jnc2Je3kYQqnNrwnV7G6TtXSZtyN+fV9IUviJ+BNvDfA0TP0szX3mKrqTj9+mmWuW/7pO+R0r - 21ex2aHFw1/Rxb4dAnFNni+YlU6G6cSXtLTUL+hzUyIre+XkDeztDMwhq5gvsSBHiMcd7B9pxib9 - 58PM4SnKrrJCJfW0KcXu8dHRnhcv5kClWt3bur8Q2HTN8CxKEb9EYMLu9HkRc/KDbJmHB9iE+Eym - +o44eZ9deH2WHnFf+9Di9WhwDXmZSdXp94ggNoxfnkP1620ZjfHM17XD8JCoVmcsHx5SdNHL1x0T - q/RRJCKsO/p3myYsmvI6oclnHU31jtspTxdG7rsoydY3YpcvPeJLr7Whaav1lF/YlgyFKMAbFI2t - lfWl5aNFObL2T0Z++ZQQUc6RK71feOwKNxL063I0zX+qZp8051XeFajTnicKsWgRI2+Zwu3TdL98 - Lx9/ftH1iWDOLPUR/+qm8asfunhXjsUP6oD1aR/AtvnQiF7rZrWuux0iztfogv71yDlc165NTChX - QqxHT4b0amjMHENPKHtaJEv6CQO20aUh6IxcoUAL/8o22TiU3FyXHD223Z5+TPaeeHgHyF6rBTMG - vQxELu/moERlSHy0f7bC5JKB1l1RkT0Ykmj74VjDde3bf/rVOFsbMWxOyzu5bY+bqLfaVwfT+5NY - XVHxR+/79cbGt3szlCM6DS4yF9szcUzrEfE1OnfQnWcZI6ZetUOyFZdffyFWPbrW4pM/U6Q/9Tle - tlwuu3qwD/DypQuZ/DmSldvGAXT0XDxPbpI1jjd+WPLwHBP/NOvbr6hXFzhSkWOY+FjpypMPEYaB - Bf54DugMBxTF56ggv/k7yqWcqKvTx2Re0QbBMO2TkD2GJSOHDKzO6m8cRfpOsCkfzoejsTD+PH9X - SZk1yt3FhccMKkzNwmkFVvUYvWbJFr8bj7X8V2+7XR/RxW3s8vHHmzyTN1gdFmPQ06K+wHW4bNj2 - JVd5034zHeJFLRNc6pEl3iNNYNI/VoSWtT8/AIWXFATzpCiFomIHlselg9VtCRaVdDWDO6m+OMlO - +/L7vaUSXJMDZiZiG6QEwTdE1S3R2VZpK9HVF82AWm2/xJvH63YRImEuH971RIKJX8TUj/74rzB8 - fHK+wKOxVC3bY/uHt8upHJ2/oBybzy+fFGNLNinYO+dM0czzc0W6v3SIMibj3zxmj50WQnwtMrIN - z6PF+dky4c2zgrmb59HiJk8v6Pw+fYh52d5yYd6ffPlWtjEd0dFF/Ld/mV37IzHbwETiMMwkyM7V - kiItqwMlAT+EqX/jZdxGbZdwP9F/9eDunCwaF2dXh9PmKTF/Tu1SHGr/+eOtH5+3o7IaLqjPmgfz - le8RCddsANQ4jEiwcK2SKSq20RsblBjkxKPJX8vaiS9WWJQ+ynl41G0g6ldhK/UpW7/nB0JbtsQj - izIavYfsw6ZPSjpj3kEsJv1pIY8lZnfurB3m3EphoPKScqcz0FzrDqaGHrcbc4fojMZZmtdQfC9f - Zqsr/N/5Mu07sTTpgedGw0Hs0Y6sFjNFjKf5oAN9O5StU0wjtiBJDdtGDkl4PFo/HnH179m7MDwf - dNScE6DacaWHJL+0LB+7V9tAe9APbCNZVcnIEBd/vr+oyQ4pvYoy8NLxyhxPdKV4FZsDusj9npjk - owV97r4bzd3TI3HHk5uP0FopbNd1Rfyt5AjlVn5MWKZ2SdJUn1tTPoX1Qh4MZlsat7piPJpoz3ZA - VlV+QPPLMNbw6uyahKWzsBphyDYsnFwlU/9E/KCqIdKSy5sQY8NRdzdTCqTcCzqOsWnx4/Vbo2vs - jmxdSue89eWtDmC+GhbQqspZ5MQ7OOD9hzi6eUYtXyoXYLRzSKKbGhpuiwyjW1FLzIPaDbj+Uilk - CxRRqZ65pdgtDxKEUbwneBap4jNLoxcoy96m3ygQqDPc7gaSHytT/mu3ndZlJkhxMTD8+CjtHz8v - Pw4q+/mBIa1YjLLrXCH3ha8JVoTpazlopkwbNyEB/7z6QQ+odCe+8l2gr6w0BUjD3GH4rHU5T319 - AEeVOP3D69quAbjIbM/Ch+YGnO08Dvel5WPlmwVB//NvjpcvML075ylfTNXfPpNsR3iUlX4LJRjm - ocmCINpFg3TzZdBn2CPTfqhVpPDc/PJDLDS1zXnTBzX0veqSlfwg1jhbu/Gfz+MqHK3heKE2IvQm - /XikpLasOcBxMTLjPXfa4dcPf/t43fKc4LePXP71uwr49z/++c//+V0Y1M31Vk2HAf1t7P/+v1OB - v7Nr9vd8Lv/N5D+XCLTLittf//rvEcJfn7apP/3/9s3r9u7++tc/4c+1wV9902fV/3v5H9Nn/fsf - /wEAAP//AwAtYwlH4SAAAA== - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f91294e1ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:44 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '35' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - 6440509cdec42a097537d19fdafd0e45 - status: - code: 200 - message: OK -- request: - body: '{"input": "What is your favorite color?", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '105' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VEpQ/rDgGRkxQBFSeTCSAi4IFTW+jO/u4T/K/s2fvG - BEqCpX1+p6f/8Y+//vr7m1Z5Nvz9r7/+fpX98Pf/mu/dkyH5+19//e9//PXXX3/9x+/3fzyZv9P8 - fi8/xe/x32D5uefj3//6S/ivO///oX/99fcZ6z7epWjZNRd+c2GRtyvqQqWnQj82ERBDVShmht5N - WA56YFJ0pbZVPTouvwUfrrvG9cB77RFfZd83RKggVH1kliZoF9CR7qmjJyhojcizojZCx9zCnvj6 - dJONkwRuj0tND+JmCPuLuFNAMymnmr3XK55N4gLoxtGx6+WmMz6ObQnP3TGj3uUhpH0FlQfbyN0R - 4fZqU5IfQhEVoVZS43ySQxruvj1Ir/sVO/azQN/X6xyAGBxib43vV6dXq4ChUv5gwsEu+JStCAM1 - Zqr3OHV69fQU9S2TwnuSMR8+DrMR1Gg7LFrsnnjn8EjzTZQ2ao2PdzfUxnRzecML7As22DVJm/au - l+Bdz50nDuo6HGtUCnDaZwgrZpo4/O0te1Rbh7O3Jf2T8+Ai+tDsLhlVtTvveNGRN5KbkVBLuJyq - RihNd3t83A7eqmVauvYOuy8kxQd5TZZv+cTvxUIGMUi9r6Rt0fTaIBUV7ftOxjcqK7Z7dhHczvsV - maztwpmUt7RAr5O29QYqxpy9rgcTtMHR6OFotlW7iU0Fqr3tUP2c91V3fXQ5uuvwJKOxwmmrD6wH - xWsd7HbK1mEH7aiCn8d7HHDjFY59USWyI70xeWLNRsy2bSbt5OOAnVtQd71ALxfIPt8zNtqhrcZ4 - SQD8RKg8yfCg4siNY0TYN6Y7Y0XT0ZUED7aSsCRTVRl8BX26AbxdrAhPZVyxi2ipULhCgq3roHaC - 3/UxbC7qgR7r50Xj1m3no3Fc69hzViSc7vs6QdZ5nLBxDHaaWK0yE6JT5FG8ZZFG+9XmDVlRnbB1 - Ejhi+/EB8K3eN+zWXd+N9cOrYa/eONVUtqvIcctFkNJ+8JgXfRHD+lOEVbXNsRejHPFiC720SuoO - 3yJ/EfLddPJhhbIbNY7BUxvqISOgvw4fbERkh8QtEzJQzYtDJKWzuYAbAUAyLYcesumNRn17jWEU - FpTuTo9z2sIRC5vWT3RPqLEfTvVaq9F48HrsWNRwxot98SEfJ5cq1VNEfUfHDZAwcj2Z6VE3Xt9T - udRz6UH3ZP8OWQvxG5oj2+LDS1HDtRLta3hMloBVt3t1/N30JYqsMcBHpgvVuPFuNnzj7eQt7+Oi - Gjp/EKH0Tzq1GA75GLS9Cq3cY6xE65MzXadYgO6QbekxXxthfWcPE05SpOKsqD0+JsKawNHyFOp5 - p5iz81vLgXEcYq9UA/QSQsmAMowpPmkf25kCPS4hsniAlesiTifsFBuZGIpCmrpfhTR5Ny6ELC+o - U3w+3QRNbaDPd7EjqF5pGnNifyPjplhQZWdcnQHHS1X61Qu3woZPpjxEoL7aqyfwzudCvUi+4J6w - R+1xTVKapeMCHDc540Ox1bup0soLNB85+X3fiksUjH+vn/pS01ENMhHatxV5YynUnKxRR1D5iU2y - dvGkkSx/TpBzWfK4FNNqYK5wAc+4y1SVWRfWnjrFaLy2FbVIv0PDuxwyeKieRuB5P6SCWFMD3Q68 - wXomDSGJ7i7Afih8HG40zeHfoibQt4ZGnXx1CSdBBRPdU+tL7cNh5Yy7bRGBoK9E6sBVRqwfmwsY - L1XGh9u94hN5Jhk6QcXItjOXFV8cxQ34x4VHPUESQnZ3eQ6256X0h7/U7GkMCLkudYT4WTG6uyjI - fXkfrHZjmbKyH77w3iPF2/JL6kwXsgVp/15r2N2cTTRF28aDr0o6IvCJdJ1ZbUrktdujR3a3Whs3 - 3sn8Uw/2Y/NKx4hKFxCcSvOmbHx0bDyFNQoO3pXi+5hXHcmQi5Kj/sE2et4Rie76Aoq7f6I3hjli - maOrMG2vjB6uXVD12S0wQR7OPjXoUHDy2w/aRVt6U+bVDt9Z+QU+yhKT6lMQh3wWuwhtF/ETW535 - qOb5LNAVThXdhfa3G6stSgBOa4cqq+LB2fkjSRB6VKO7Ibf5gA7KBC9bHMk0RXY3iPYUyHZXfKi7 - apfOtEYVkau96ZBFNRgOY/fJhwx3JXbylZjSCV4x6FeeYmsXZ5xoeFBQkZhvnCuF000fijzk3psO - qzOeslEHCRnf+kF/9UnN/pPAWgmDmW+qlI7VBsCvP0e8W0srbfKnLkfOjTyxam0X2oAOJoMFNwzq - VYOh8a25LdG5F0NsBYMbrvr9opbuy/eG2ubWSP/wxTU4aNg7a0U4zvODz+QLWJvA44N+5j0or9DG - 7vP+CbngBRmUkjZQSz2t0ufLKTI0Xr8VPoybtcZj+lTB3NzfdK+dj44oG0qC6vftia3cbxHRQ0eC - 9PxQsWF/ruEkrycPvkJ2wGeWcIe8T58C3XeiiI0yHkOy2ugi9OsYz/jSOkw5DUya+RXrSw+nY6P7 - ujzzL9U8t0zZa0QLOMeCRJUm2fPxjuQczF0yYvc7tekg3swEud8oILz7OFw4fyZJeh2oQbot4um4 - 3U05eEKzxoqxfKGpOrEczudTTI+bgDl8WH9V8FeaThWur8LpXiotvGxhJHywZd6L08qT1C79kMXj - /Q2pmMcK8OSYY69Du048Kdsv5IWUYw2dTG2QEiLBShFVIiutqrGAagH6nFIDu9SLKuaWaxc+K/Hi - EdnEqCWbR47WT0ehJiKDNiK8bmGeD47Ut+NMfn2PNgkKnoQTTUz54riQEAkvLt5pRR+yzXcP6FTy - AwFNPaTch+Aiz3hEDfwZuuaOVhkqhPOBHlilIHLf1/EfPra37piOduFHcmItYOaP0WHL2+CB09ox - KZ2OOsxTpVgeVrVFZz7qevvSZNB1koW152cZfr/7OAeL7xcEwfWO2HXNcrDkqcbu6qB1Y3h6tzDz - pTfkayOdwvWWoR9f6bbaIe68ripc33pG+sUYOiQWFB9CXjtkmZ3t6oeX0m+9f/U+XvjNQ6u1tPYW - rU9Str3nBNXW/oy1qzhyQo1XCzN+kaUqKZyfd9cJ9nf9hmc+D/lC3AqIr6sWG6LVhVyCYALloas0 - T96BxuzhnYOdGozu5a/O2ea2FJCjOm+yNHDF2cqZWqSWRU/3VVqkPFhuXVRw5ONjtF/+G/9XFcqJ - ZCm1Qy5khG2itDbhXOu7zrpZATq+FxpZQyk7bODxhLCYhnR/NKSuj6bWREZsfqnbKTeHRVf5AlH4 - hD96lxX7yoDDx/Mxfi0Th+XZqAC8xBor98VL49qK2XCy1Du2IblUPEu3C/SAuCLdgxA+Lqg0wVKJ - A3pHt3XIvX3gyvzSAD4O31b76WNwql0046lZkRkPwZFqjPeHzEbiMIw2tEMQ/1u/8Up5Q3yId9Rf - FUtEl5unL6cOibErVtdq3LwuNvjPXUfdcrpXY1btVPlz+Gbk02Vu15LQjZChWxgf0Eab8ZO7sFe8 - PbXb9NitCnwDGP3ng57VTKjGVf8uIBhFSo/+sei69drNkTK9LnT3eOwQc5zJheC2AmxajHA+KPkC - 1O72oYpjaN1a1vw3KoseefLW+VZjvxffcBXL0PNbcYvYS1FNeEF9JAvA63T03GcgK97XocF77DVu - 2dyEUPXfNEwdgY/nKmxRf9Fb7CzU0WHq2f2iEJsS/uPvjqaqgk11i7A6wRX7tl0NDrsWWLmUddov - PygCgcUO3bfrpzPBEYvSvSQ1PVwmyXlHXajD5SOV2AmDK2dCfIp+eo2sb/Xzpw9NqJ+6iS8nSNLv - fkkM4JcO6EHhY8oOgihAZkkBdhbI6vh3cBL0UF0Nm0Cqilg710duxBi1wreOGHH3AZx26IZ3GKq0 - tVXUQ7p7NPR4d7k2+8t4+w7GM81LdUL9QmEMHR5dROBgvTS2H68AHB1csr0ItkOwU0jwOFSZt/bv - x27c5bz4rRfe3QYfsdKyFugpGhWRT43Qjf5nbwOSbxKpGCmc9gMnSb4GpYS9t+VX7M27BB5L2NP9 - 5NYaLeW0Bh+RE6n5RCq+vAsZ/PSWkrmRNj2rjw3rdoeociqJNiSnTAHxbYzYq4a3w06mQiC2PhRr - +z0JSZY3E+SKyqhZiw7qesdzkWo/t1jPdhEayRQnSLWrLWFUZNrsX9/olQZf6jwLRePewWqhmdod - WdpbWavJSvHggrcUW6PphrwWQoZKnJ6p6/gq6q93p0WzP/W228uHT4Ut9TDXD1l81EbjDn+ZcKTC - wqsy+e0wsf7oSF7vJWwk9uqnny8w6w1vKRzVdJ0mdoFw4bnYXrifinwo91BzOPQekDNow9ZXajQc - BANf465xRl7EE9RatMd21hbpWA9ZDx+9GGm6fhvdWAZMQOuPcKQxL8aOxTkyJGOrXvChPlh8OheV - AMOzZqRsjmL340tkEgJ0N77MiqljsZFkqcuwPeMh4906A+FRZl5PzpnDxGOrwzvgZ7yf65v+ySfG - x5qUao0cCrvGRPw5JVSNlG83YF4JQMf7mtqkdMJBUT4iKuUXpuZp0ab8SY85ile2jvd+eu9+9YbU - CSqs+/kl7WM1F5AZQUgW2mdCox2OrbxEaoO98TWmpFt+RBCz6EB3nVqE1JRWJejXMSXyO/w4xD/6 - F3nGEwLL1qnW36Lu4VrCiI1gFSDurqI3ODDK1PlCgVg0tTb4XZDQ/az3iHZHJlhFdiObeX+t27Oc - Q3Ivc6IE6bujxVYg8k9fGTtRSf98r+XTV0gjYSXlu+nmS7P/IWMa1w6tsflFz/Jge5H2qKr6vhgC - mP2mJ01N4/CnJV1+4yQdhyv/rQd8lo75wxNEZrxBlwEjjNOz4IxpqGVgnB4pVuPDOxw7/yWgy2dT - 0qtkBN2YaEcJPVNJJeLqyjq6JXr7xy80s//uK+g8WB3JhXpK0XW9+YwJ2rVvEytBalQNfY39z49S - pyD7kJ4z/Y3MlbgjBQSflEldLUK73qn4UHknbdY7G/QnH0s2VGvzc7OAS1JfiITPfsfXYTHBevjc - yVa39XStfUpV3hn2xpNnfhjLYCOgMOjv+FguaodXx5sHbN6lbH7feMrOG9jkW5XeHuqrqpToWEPh - igkR61ORTh7Va7QSRhdrp+cr5Gb/iQGfny/8bcRSGxcLZQPGYnzj+0gPvMwPqQClH+rYOxC/49dh - W0M+TBPWUplW/c/vCS9a0z2ItjZ5qPLBO71TuneqbzcW78sCpspuSOfIEZqebmlD9mnP3tqSXilz - x/1FUnXW4L3wJRU7CAsBPadqR6S6ySp2K8oSpOd2RR0mLNNxypsI4jdCBC9YG1Katy26nr8vT0rb - hjdb36x//h1jqfTQdG+XBbq/A4Pu7gKpxqAPc3RkZMDmoB/SP3pK8sQYuzeTaOOMp9LMl9RK0IGL - 37H8yk+04t6k1qlGuY1qiImy/FM/k67Lk/S9EB3r473UZrzOpdn/YV+8xSFfZEcFmhML6fkRlR01 - K1bCajy2BJ30RqMNkcTt7Kfwfj9eK66lToSWUj1hT5bsaqKVtYFldSe/+gknU35doOkKoM5WTdC0 - 2rjidgIU0N0bld1vJ8Dn0GbYucOdT8GNGOgW5D7Z6sOSDwMrFuhUjgdPPAZPZ4i/T4BubBKsD5c6 - 5DfzXICHrjpWWXnrJs8acxAlwyaCh/SQvw1ThDlfxPau1tKp2RUBvMbtB3vrvHD4pwsXSNwfNbrz - tWc40tdIQJaajJonl3Zjty0Y6rkwUO1b6B2bjD5CjhufaaymHWI2Et4w85O3Wd2Kqr9/vgEsuuWO - zvmUNo5clJD0elypeUsch58WOwZN7jF86DPNEVqi5vC2shJnQa915HWwPHjFtuyxmT/Z63X20U// - n9Njjfrx8SRA4uaF8bLcO8JnbQfweYoy4bu15fCJPALImGx6yx0+duyg7VVk7y4HT8y0mk9LIiXg - RhOjeB4fwdy4cLhMN+zaVzscLU3Q5XAvmDgIt3bVHcJpAUTNchIn7h6hvR/p8qaUMqzDwXSm+DXZ - UIS7kupJXvLpyppEyqSTRDWu9RV/fWQdhpcd0J9/n/2XB18jOHrbZ860LzBkQiavMw9QNfBZ/9ZA - tZM869d11d5DqUCQn77e+oTNlJmbcy89D5uGqtvmWK3UwWrRrM8pJsdVx/aZmqCXF4fUqvynNr6i - a4Qk/dWQEUwfke4oqr9rekgnP2SfhCjgK47sbV+vI6ck4y7UwXpJd9eTkRJCixoS5WvjAPaxNgyR - S1C7D9/YLWrCh8hYxii4rYGsyvLAJ+frCaBpSYK1QyLxP/nTLrFPZHMOjyl3+GDDKxdtb/zkC20w - szGHGc890QxaPrgSuNKcd1Jj5U98dItDAsvPzqfaIUk4eZusBVEsvthhwiPk1VRfYGWbArbU0zkd - 72bkgfAoMmpscy9c0de2R3Peh52jWCG+zq5feBf7J93lw8HhL9HxgGXviOqstiru20Upz3mwt0Fk - cHj+PfRQlfn1l8doBNI7oHl9ybo/v1J+XOuqtHwGyk9P8bneBKSZA8epRd8a++7jDKD7CN6qXT81 - bp7bGOb8nOq3VxsymqkCnODJ/vj31ivEDP3y0B3WWsQiZRPBZbFvqPMBOxRtFRGkpxeZ4vQcaX/G - rzf3QNa8/TpiDGvzD58a8/dsyOTHID18jDOo6pCBfBPgXTUa/uXnQnX1dVTpJKKzHuaMX54bMDsr - wVoSQDqszk2BZryhRvnAjkD5QYDEeu5n/FQdHoydgax+I1LsK6d0dC07+ekJqqJI4UOwkexfPWDt - /K2cb7dQVFl0Nj7d65ulw0m3u8gzf9FZf3X8GroMDau35VH9PiFmGZ0k3dJRnf1DU7HquUjgbhaa - R2Z9OjZHY/Hr/+DjKyHVaGlgwBwlU/u2vFScaisR8jpTCNLoNmTk25TgCd0a//KsSd3lElRkI2Ac - HjbdBOkZYHsvOHXCYM0nJIQRmv0oWffLvJvSzsyl+q4TvBdFOeXYHA35c7z12LgA66YHucRwPocx - /embQT8jAvYz3Hjg8ohPdVtLv34UNU5zX8EM1Tdc8+WV6ld+075YfwpwXa729I+eu+BB+uU1BCLz - +rvewNFZv7zNUmPOiDbTG4gqnb3PuLlqQx6fGHxMPcTXYlt3/MdfBVIjElvMQ8L0vJnwiFZfsk4O - ssMui/Xml/8Scc4/xya9GxB8jT0pQyVw+Dlza8R9qcfedhdoE7t0HtBE2FBtM2Th9BzlYGv5aond - pis5myIpk1ak1mnq6Fk6rt1nD/eyr+msFzoWLk0Boifb0zsTcTj2+8Ufv+8J+auopmqV2dCk+z3+ - 1aOwHx8LtDr2FxpuhiwlZ+R/5Un1EVn4oHarg3L2IG2Ump4wVOFgBaoHDWk/hMkkTYegT3Oodu/G - m/OrkF9DnaGnkzv46DPQxruZuQhEP6Wz/0r7/qW28o2ylB7l4J2+ukHVwYheBnW+mhmuxmwrgf08 - bbDaHMWqnfNykDWbEb6GvcY2YqQj/owqbGrHdzcZ1S6HBi048dWNqa3zL+7Rg5Ye3h+XoUMHb9Bh - eQ/e+Ihu1/Tnd+SV8QkIM9NEy6Xr0vjpB29VrIVqelxv8Y/vvA0QrRtKvSWw8R7On3pldJcr0q/f - M/d/K0KeSf7rXxLpGW27Yf7/6DMFAjVeQxSK99L8ol8+Yc79xdaaRAMG8tCplz7sin8OG3/VV4n4 - 40/Unz/S5tf/wFZiDdqoRXoA50d5wK7jl4iIW8FH7VpTqSkSEbEm1yWY1qaK/etiE/bqWf8CHoyC - DHc3dNg93b1BXKYV/uXx07W2CQB1LrNeqUL+08PZxnDpr//D4pzP+ZPrY80KLcQoxwLat/ELh5nT - hXT23/KvPp1q5XY8WI6uLGDj5f3xT0syxXIdrJbeuIcLYpc08tbmce0RwVY7/v71wy1fKanbdCoS - Zr2LtpeUUntqGm3U2beEl5eE1LLecTjNfAq/PM/U2WaO7PUcNim/ks1xP/IxzjQf/OtpRxpUi904 - nMGELJmUme9stP75gbBQG+y6PEJTlj8ZdD7vqbJxmqr5TJ0C23Ghe4Lk3bTpmbAAljeqe5DdR43N - eSia82VqGmXTtdLUSejv36mA//zHX3/9n98Jg/f3nr/mgwFDPg7//K+jAv9M7sk/BUH8JxX/nEQg - fVLkf//r34cQ/m6677sZ/u/wrfNP//e//pL+nDb4e/gOyeu/3f7H/K7//Mf/AwAA//8DAHICMqHh - IAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f927b9b1ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:44 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '59' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - af79dc73b0eba5c29505b2209dc6116d - status: - code: 200 - message: OK -- request: - body: '{"input": "Lorem ipsum dolor sit amet", "model": "text-embedding-ada-002", - "encoding_format": "base64"}' - headers: - Accept: - - '*/*' - Accept-Encoding: - - gzip, deflate - Connection: - - keep-alive - Content-Length: - - '103' - Content-Type: - - application/json - method: POST - uri: https://api.openai.com/v1/embeddings - response: - body: - string: !!binary | - H4sIAAAAAAAAA1R6WQ+zurLl+/kVW/uVPgqEwWa/hTGEwSaQsdVqAUkIEMJoA766/71Fvqvb3S+R - IBZTVa1aa5X/419//fV3k5bPbPz7n7/+/hTD+Pf/WM89kjH5+5+//ue//vrrr7/+4/f7/6181unz - 8Si++W/578/i+3jOf//zF//fZ/7von/++pv3hyPVsvfRm9C34AGn6CZFtyvz5tgqTPUyKDuK08vX - o3MRdEqy7UK6705xzN/yz1Z5VGBHJHWrlJ+y+xIAPLCQkns6MX98vrfwEn9G7CfsDqYkDxXFuXsR - PmjjvVy6cXIUqEkq1TFLwEBP1AXGXJk0mfY30OEH6eDRBD6SLoegn2qmEgisxaV2Ye296bRECnTu - 4wWJwXLyFh9pDrSyXUedHXgYi2W9T/CUSh7Watfsxdt2SlThBS/UTvLOm9fnhTMgGdVuYBczLBxO - cPy+Z8QHc5ku97KNYEaAQKboio3pcNw+YRd5FO9Bb7JllnIEldFQiOonDpiw7hNwcoUI24acp2Nd - bjmYZ0+D6tf3DTDwrjLQYq5AfRRv4pkl2QI4XVmoXvMMzH4eOmryKlTsF+3HWxpi2fLZ+eiotsov - 6Ny5h9AoHIcmNY1T8pi4HFaXuMA746zHc23CBhZKwGF92RPAfKDY8E2DGO8aTmKLfxBqGD/aGpve - duxZL8U+PDz3JZFj0zO2YO59cG0ySq/HeZcuT1KHsFYBTy03XfrRz0NXbbzdEbvkNMVtRVgEJUYz - bPUoN7rvdD4pa/5gT3u6Ma3rJVEz93kn3Ozx8bydniYEIHyh4/MkxwOFu1qtw05BQ0ZoSc8b+QYX - SXFIcb1dGdO4PgdXUemphaJjv2jucwL5kj+wX+MzW6Q7qeD1HSK0Rd0TjMJCLvD2uO/w/ureUwY+ - 0071nCeg/gUqoCvMZAD+cn3ivXkM2LQxTwjWNJ+xP/czm275yMv+yejI6B+UcvKCBwfZftlhQ7mk - HpVrHypp5nyoM2pWz/LMPUF2rjbYywItFu/TqYZCXfEEyiEB42SXAxwq9MD2pxcBqc8sV3/Pn1y3 - 35I9jWmSt34b0H394FNau7uLOgR7FxuzbXhC80A+XKSTSW+nixUL6b42lffBVbDHf1m61McvB8s3 - b9Pn0ajiqdjYEJrabofvweHcTw3LJ7hH7hfxwBH70TXYDsKD9aT+vt2wGqLHCXJd7SDhrcN0st5x - tDGS50wPeUzLWcvGCdA3OGAUtmdjmc/JBUqWOuDAPyQl2VadBKwkHYnw8B7xoo7uAHC6ayl+mR+D - wChXYNdnOhqeb5E1737HqbSAOr4ewNlYrnvT+eUfUq8bq5zmEDU//ECcUsolVXZkC57u/UzRejxf - ldsCu2xnY003nHTq6C4EOlJ0HMmCz+a13kAnixY+HNJrOW+P6QTHQ6AiroQULFnSRGCDtQr7xHp7 - o7YBHXicXyYODN2IG+5DJjBu1ZGE2rFn5NUFC2hfyRPjSduXLDKJBLB0rDCuPl45WQ9MFO4YC0ji - qVFuSebZUN2fDOyUy9ubDdlVoF7KJcrfdwC+wmlwYRS+AOGU8l7OL33qYMadZxygbx636Z7Y8G5w - GPFHxIymVu45FL6uRNpDdOnZdy/ZAJjjEW3b4gLYcN01cMVTGkjY8Eae5yoYD+UTKd+d1vP09HX/ - fK/9tWrKaWtPgypZaYNkRbl783C7LVDArzeJ3u5QLpnc1XC20R7r5w8tf98Ljt9yRu8AbY05ct0a - /uKHyXVniG1+aBTedwPC9wIsF3CSHWjJ8YfIh/TaNw5oXOjGeUdUf3fvyaa+wx+eUnQZvX6yX54O - nOaLUBeAxVs8mg7QD1KfgL1zLFl/v0mA73WLzLrRxGPaAU7JDtKZolb89LNWHmrI66JC+Gr/ZOSC - J1/d7Own1YrMLgerLHOIxkjGOH8808F6pyGcgXtD7M0ab7GhihRPOCwIFu3HYBu5NYGbUI8iLpH6 - 6fqxL6ARqYPysLLZZJktggMa9vSQLK23JPImh1pNRbJ/HT7lCL6OCwhMGN17G69nkaNkiuzdFnIX - 3juDvpK9DqSTWCHR9Y2YqdyhBpud+cT7mhTlhwSnp2Ic+5g6t8BMZ//On+AuuBwQ4O5fVvHB+wmj - 5nDECG3Gfha2sgLz+VWRpYNvb1qC7Q2u+IWA0rdgVNrwpta0mLHhiHL/jqvqpkw7puH9gFtvkaWY - g0qtRHg/y2E6RVuQQAnmCkYnpYzZbSsloNNHRk3VJ/GaDyHkj+OCLTeNShoO5xCEXEQwMtQcDOnT - aQC7eAZ1tke17Jol7NQi2xgIqvuAkena1XJXooYwKZkBuX3mHNzsqcTa2g9++AODezYhvvbO6Z/7 - zencY2Nd39DU5YBfPmpqhKMJ5tjqbKV41jscxOItHq7tXZJfV12lAf+2vEVMOR6a1+5BRnd6x9Ms - NiZY+ythyiU15nCeOEgVp8TxmzlGH+/sG7Ri7OP9k17iGVO1g7k5jWiz1v/Sm3YGE0fJseOOc0mq - cmfCtb/RvchbbFEilQfjxFvUFI+3tX7ySC0Tl2K3uStsuHwvFYzVXYzdQjrFkzv129/9EXtanUHw - o177N+bIrz7Zp08UqOlRStFJMdKF9WkH9YrLyJ2bJWNoRx/KbNze0bK7vjx60jUCwm93pBbpMViE - 4lsDWnA63e8SBETQOCGMPxcVLe4h7ju6HRRwU3pA1++fkiqrIqh8nxeyXJev0WvKC4JL/B0RvIlh - z973xYRcfhjxygeNpbOfBBABRX/4EevPwQm2+4NJHb/5pjNTu045oP675rdeLvNiJtDZBD21YUnZ - 2J8sH8qxecDOJJllW+GJUxr5YlG8O6N4JMdGV+7ysyLAOEY9je3CV4enY9BgxZM+c9+Fqj64nB7E - UxPT9f1U0OEa6yUqjWXYfCSg3HYJ3rnt0etEI7yoKdAfFNc3Bobb99BBQQ2OhOc2l35+VIYPj8HQ - IcHYG0yEeufCyFUuaz8uDdqfgwsYb3uBvDvN6BcH5iGocGsidepqg/zwi6DWoP5eIcYk6qGvZkQW - sI1N4k12ImbK+SOo5PLmJTasfBiGu3xDDeOrxXSgXxfepbRHX2/TlzTfhAhKJ6HC+zhOYlbXSgIu - LH8SJa0+5YLqhECdXV/UPm0LNidh4gCzLs5U37xOxnTXygJ8erciMn0+vKXU9QxuT5eKsPV9SD5o - JjwlR0T1ozj3LFxmEy5ufaK6pJv9REVVBz+81l+55W0FY4zAEWQJErahD3guWPMJRyVqtfHeL4Kr - mWDlY9hDI+pne4lcEEQRRhVwrv0UuNMEYvtlIRDFm3Tsk7cOvwN5kLFM3/0y5mUNPpHsYiNBvbFo - /O4J8+gzUH133RiTYKq3P/2lLqyvMbtat0C5KCwinMw6brb66EB4eyfUPF926UBTF4JItyXs79sX - mLhWuYD38Xam+BXUxiRliy7zrerjQ3GtjaV1aij1m9BDMBBK8HErqfvhMz0I750nslfzBI9nWPzy - wRvkpJ2gthc3pOPtj7d8t7Ijw3aH6TWOlZg9s1cIqsuxwG7THbzlA+7dn34oueOxn4GhhGB6dRKR - Rrcux8Pmm8D3hjjUDjcl6AVx0X/6hernDy4nFxMErxvLp3tk6PHMKbMPOV1asBOimzdv+XcDboJ5 - pUeh3pXzW4QhmBeJI4D/sng6YWsHtZsiYY0VB7Ao93sDxe+eRxJ/PsWjNB1chVN2JsXndC4ZfGU+ - LD7+E9+2hQcGUb/5UG6Hmrr6VKWDIsZbaLVii37180dvDOfTByOO/7J59+R24FQULbYGaveMEx4F - sA9LQiZ4f3vjln93MDvaIj1UWtBP/mBcJPGwlRG3FdK+xbzmQ0fSXCI0U5JOsMMh/JhGRCbPyNN2 - EFwe4DIysVmQz596hDQ2jghQHABWInWBJtzL6HvMI2PZp0UHy++G/OFD9Kd/PCcDpH22jtEeNvSm - 3B4bkyybqYiHMF9s2HXpATvJzu+H21froPHe47W+eI+MeV9D4Sk/KM7JUC7oxSmQyvXrz/sKd/Tc - gp5uMXXLg97PvRibamULNWq+eGLj5Ywr+EmHBklXeAZr/lfwOg0u9Rl10pl/5icVftMI+7jxPcor - egSjnJtQtxtGxjby2wTNsaPU2E5uSpUuLGDX3Q+oY9y1X+562UB1vGWka+4Jmzu5v8C560uUP5jn - EaM1HUUjmyNRNklcUk78LJAIfoTd+5UYw14ettD1xJj4GaH9ImmODaLGO5J+78z9+H1dMthj+Ult - o1mMH9+BL0Ji7FZFCthGDLfwql0fRD47b8aMR8jBR9Z/EDeezulsbpVOmQQaYaRdFK+NegeBQLo0 - dP+Ll2kQHbzzKKAe2tKSwKhRgG5pPdXG7yld9V8Nqo+XUK9kRzZFstfAIwt2a/3nKaOjxgGmRmeM - q5Ma0zMYt8B26JsI/quNhwuSTBjzi7zytb5vzpPeQd/2e+yapQ/mcjZyuOoJMt4XZLBxLjIoXAdI - 91U3eIM+VAW0xcJd4zMYtNu+JFBGHKIuGM7lOH3bE2TP24Pke/+dFtjauaq/nJ/YrLOyZ8+84MGL - czFFc1b0M8irE1i+IkbK2/K9cVbFCj4leqBBLErpLGxn6Y+fYj08Nf589SGB8gQc6tdYAEx9eNzP - z8BYvfurPq5r8A6vGRJneYrZ1xgKEO5pjqQdeHjT1TZ1yCuZRmPOlD1yUEL9dz0U+5sasFh/NnAO - kgatfMBjA6UuFBsyI3jeHXtRHppFCTSWELVMtZL9+FPuqQjjyW168m4lHm4ZyrB9SGw2lFWI4I/v - 2fNNN5ZXkJIfvuMdn5wYnQ3vBF58LFFzvyHl4te0gU6yYOoOocymSRgWxaEzJXLlkp6a84WD01eK - MTrlvEc5cZzgz08orZ3Sz1Hv+LA4LwXqPw85XRoSmGCtX2wB5eSRH3/R6PtMf/qgRgV24YpX1L3b - G9DoQYegVQ4azWossKXhcwXy3v5Etu1dALOrXp2f3iP5O0zAJBwcCMlnuVA7OFpsSd53Hfjmh6Dp - s5fB1B86F2oiGqgujJt+vHBzBL8oacnh2TbG6lfo6t7mbDLHh75n9rDN4Ob5yMnE+YdUNNjXh8JW - n6jRn1BKeifZwbzQGmq9466fCqvYghsMJXqwqls/nXCwg9nteMP9qTHTuWquGXjn/BE/yqooh0mW - TrDzKxfvuxOLxxFXBOK0Hn96yBuNs6ADbJxjalUyiAeVRDx8Sgdr9fNkwOJWsuHHDwdq2oaVstnw - Lsra3xDZDkm5qL5lA9dsFqwZ26mk15uhq6s/geZEbMtpu8sk6HbenjCmDylZQpmHd1H8Eq59XNJJ - w0v2ix/ZXlrPmDfn1IQEciJi2SFnJBJZAciYA+q9xaZst9PFhheFbDDikls//Pr9eB8WvPo/rJeH - fIGd9z5i1JKqZBCiECof4Y7GD+q8yQvOUNFukoSk8r0AVo29A0EX1IjTXsAYdqeEg/tHXZL+kg79 - jGOjgpb3Fiha+9UyqucO3gt+T3cTb3rzNRIvAF26DF2Dhfcq3jsiuOIttWU7NxgwlRu80jbEZnpo - yuV4t11olUQjW1E/xEM73wqowNcWbYOjBUQjdQgoMtUgJT8wQNdjmFa3HVJfmZDOv/jBTTdQg1d1 - Q5QtfALZQTmTjV5YTHzYBx0i0EKkvLRzutjG0YY3XGl43320cmkC/ATv8JwRuDNwzPLrdoLiLYCE - O+Unj3zxlUBeFxRqa0PDltGYczgPYU513zyk08Ud/suvCxrYeMPNYBPcLfyLoqNRpfM4dReZdsOX - Gmv8BnjMF3VfBRq157fhsdUf+YP/Jh3SkqzXV375ae4cDAa9O4Xyq85kbO8vocEKPlWkZbI76nfX - 0lj1nQ3f4pMgyKRDPJcdJWDVz1g/isd+apHeQCcEEpGkx3vtZztbDfI2ojH3dNK5edg+YCN/J3xB - rFJ83xcb0rd8oElXLylb/WMoG4cbNkFRA+a+MgjuclbhtT/1Q6npF1i2dY/G99XzgMppFbwBvEGb - TW2mk/XYk18+kumzv7MV3zog3kMBW9P5GtN984CgzOeAplzRAMY/Qh9qhwxi+9L2HvmorQLvzYYS - /pcvTbDPoDJ+OGxspy4dkdQOkNSnhP7xeyc+6xQdSToObFmP+dB0dPjz5/y5P4KpKE4S5LrKwUfd - cOLpA9sJBm4l4b2o1mDks5stvxt9QZvryzFE+ZBIsFVJhC3eEOLlgiUEV7398+fLRchfJ9j1Tx1J - vU3ZhD5RDfn4RP/g3TRUBgdewmVGEKOM0VVPqmNUHFc/TO6ptH9VCq88NcTC7NJPkzxd1C46UGzz - XMQWNpYKJOfjm7qRn6eTd2xz2ZjeHnXTyionH99D+CmhQQ+9NMTkMnQRXP1DctdGuRx++Pvrb/P8 - jFMW3AYflmLaUeMlRfHsFc0NpBlp0eIHbso+qOFhMdw2dHeKTLY4sInA6q9QzVK+MUt9eYH3d+Bi - G3Xcb74hQfFr8diUzzTtv1oWQi93Iuyu/GomwSmDn1OxJ7TxYPqHn1fqjcfxqv/H4FqZEIEeko19 - N9nkxvIENFqeKcpeu5gN9OvA/KHvidKJu35c/WEwbphHNgKPAXtpTQ7X65F3oV9jXjCFBK71QfJh - uKzxSCpoeLpA4BN8PUFxkgWGN/+MPtNZjKfB0jqwNPcYKWVk9MSL2gYO4MZRLXhV8fDkD9yvX638 - bPHIqJ4bQKrxgfGxinr68cMahlcvI1zfBWDLt94NbmpHpP55dyyne9E6yjXEZ4pNP0iXT5Lp4Mdf - DodULKdigyAssGNS4+by/WxPmgJ7h6iobosLo3E72bALHERdeRpSho8gU8RrK2FDS1rAaE1c+Xi6 - OngvTDhubyG1YU0e0rreT2elvSXgsbe11X/h4w4/6g4qnM2o+0CBMVzbo6IGm/eB7gZBZIs2Sz4Q - xarFXslmNl6VcIG3R7ojm6x+pYQ80wv0M9GhjvTQyj9+YLWXXtg7+E46ZOmUAB84ENtfilImEVmH - nU4Ztk8fviyHsOLh4xkVFNH9o58/h4cLqy2KqeVfmngyDwcCfnrQrWDvLeWTLyDciojMUKExPZKw - Utd8WPUbH48isXi47VSN7vVvHbdGduN/74+91T+ZCUlsaF7tOxJJtivnMjogOPfBFykbXgdMEBUd - /vyj3arPhNX/h9P4EMl8DvR0K6bbLTxTNyTt6u9Om29nA99qvmj+zc9++m/tp/hwdjTAWJopYOv3 - ATUuV9/46WMYCo+QyMI7N6a38c0BTvUWa9Zsp9OmvBTw8Hi/kGoOHWBnMPJwnLbWOn/cG9OozzdA - 57NFRjPN+uYraZHqTNGHwBnmxrzTPQ5kFBLqnZoqpc+Cmeo63/mTX0vnKwWUky2hSIi1cuKD9gmz - PGc4WB4onlJV55T1eyGB9JT98atWPwQ7q78vKLZb/In34TBYbJpPEfrpS+xex7ocL7DdgdVfoZbT - uDGvDnoFjVYaaeBEoB8CV1qUNT7YDsm5nwRTuIFtZh2Qast6Kkx2T6BDGSWMCxKDSNrOVFte4rH2 - /OzLX/6AvBNsbNkV60n/zU6g8aoz9i4ul34ZjAr481vHgX2NP/wm+XyvhDlEKrvoIihQt5sGG9QL - 0umxTZDUJZuAKKKwLenpberKOi+hxnizjOnd7yCMUdBhtBVAObz3zIRAbgvqvjQhJelt4OCzO9l/ - 9Mnoqy6Cydc/0eN+pGVzOHIZVG56grH4vRkzdRiEZ0pO6/xB9ma5bxpYf49XbObhhg2DdeggsCYX - P9Z4zDhkJxgKrxD7cPvqWXG0d/+V3+v8bkbb4xNK1mZY+/tcTh/pgpRnIrnrfEnwhkwqntC8Ng/q - UdtnA+z2EZwzvsI3aETpnCt+ru6R80Xbec/AKJz5EMRP8iJiqkkx5W59BpRvdln9SsxICE861ER/ - QGs9xOx2XiY49/hLlo1cpsypAwJ3g6+hMkGeMZ3O+Z/5FdnoR7H8469z9xIjUf6SeArNnQ6d921c - /SjbEJuNwQH9XOTUkyStF7psDuFLtS4YzR6fLmZVdvAqSv2KL008fz9KqHBytqPROl8eAvuDwF0U - vtQHj/qPXwjdNMbUjsDoFZmYnMDOP4bUtBbRoOVidPDv366A//zXX3/9r98Og7p5PD/rxoDxOY// - /u+tAv9OHsm/eX77b7r9sxOBDEn+/Puf/9qE8HfbN3U7/u+xqZ7f4e9//pL/7Db4e2zG5PP/nP7X - eq///Nf/AQAA//8DADKcAULhIAAA - headers: - CF-Cache-Status: - - DYNAMIC - CF-RAY: - - 7c965f93fe381ca2-AMS - Connection: - - keep-alive - Content-Encoding: - - gzip - Content-Type: - - application/json - Date: - - Thu, 18 May 2023 19:05:44 GMT - Server: - - cloudflare - access-control-allow-origin: - - '*' - alt-svc: - - h3=":443"; ma=86400, h3-29=":443"; ma=86400 - openai-organization: - - user-kd1j0bcill5flig1m29wdaof - openai-processing-ms: - - '34' - openai-version: - - '2020-10-01' - strict-transport-security: - - max-age=15724800; includeSubDomains - x-ratelimit-limit-requests: - - '3000' - x-ratelimit-remaining-requests: - - '2999' - x-ratelimit-reset-requests: - - 20ms - x-request-id: - - f251480c34498f8d9fa009c2dcd92bde - status: - code: 200 - message: OK -version: 1 From a08fc9fe1c684a29b0d2b781bbfbfe96da8beeaf Mon Sep 17 00:00:00 2001 From: Auto-GPT-Bot Date: Thu, 25 May 2023 18:21:10 +0000 Subject: [PATCH 53/54] Add new cassettes --- .../test_browse_website.yaml | 468 +++ .../test_write_file/test_write_file.yaml | 227 ++ .../test_memory_challenge_a.yaml | 2653 ++++++++++++++++ .../test_json_memory_get_relevant.yaml | 2672 +++++++++++++++++ 4 files changed, 6020 insertions(+) create mode 100644 tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml create mode 100644 tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml diff --git a/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml b/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml index 82a4f1fae79..dac79d49c08 100644 --- a/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml +++ b/tests/integration/challenges/basic_abilities/cassettes/test_browse_website/test_browse_website.yaml @@ -2896,4 +2896,472 @@ interactions: status: code: 200 message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text; include any information that can be + used to answer the question \"What is the price of the book?\". Do not directly + answer the question itself:\n\n\nLITERAL TEXT: \"\"\"Books to Scrape We love + being scraped! Home Books Philosophy Meditations Meditations \u00a325.89 In + stock (1 available) Warning! This is a demo website for web scraping purposes. + Prices and ratings here were randomly assigned and have no real meaning. Product + Description Written in Greek, without any intention of publication, by the only + Roman emperor who was also a philosopher, the Meditations of Marcus Aurelius + (AD 121-180) offer a remarkable series of challenging spiritual reflections + and exercises developed as the emperor struggled to understand himself and make + sense of the universe. Ranging from doubt and despair to conviction and ex Written + in Greek, without any intention of publication, by the only Roman emperor who + was also a philosopher, the Meditations of Marcus Aurelius (AD 121-180) offer + a remarkable series of challenging spiritual reflections and exercises developed + as the emperor struggled to understand himself and make sense of the universe. + Ranging from doubt and despair to conviction and exaltation, they cover such + diverse topics as the nature of moral virtue, human rationality, divine providence, + and Marcus'' own emotions. But while the Meditations were composed to provide + personal consolation and encouragement, in developing his beliefs Marcus Aurelius + also created one of the greatest of all works of philosophy: a timeless collection + of extended meditations and short aphorisms that has been consulted and admired + by statesmen, thinkers and readers through the centuries. ...more Product Information + UPC4f19709e47883df5 Product TypeBooks Price (excl. tax)\u00a325.89 Price (incl. + tax)\u00a325.89 Tax\u00a30.00 Availability In stock (1 available) Number of + reviews 0 Products you recently viewed The Nicomachean Ethics \u00a336.34 In + stock Add to basket Run, Spot, Run: The ... \u00a320.02 In stock Add to basket + Critique of Pure Reason \u00a320.75 In stock Add to basket At The Existentialist + Caf\u00e9: ... \u00a329.93 In stock Add to basket Kierkegaard: A Christian Missionary + ... \u00a347.13 In stock Add to basket Proofs of God: Classical ... \u00a354.21 + In stock Add to basket\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized + as"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2507' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SSTW4bMQyF9z0FofXYsJM4P7NL202RZtEg6KJNEWgkesRaIwqkxo4b+DS9SU9W + aJK46E7gz+N7H/RsyJvWuGCLG3KcXdxcJd/7m29fhuvx83139+uj+3qyfn+xvCofTGO4+4muvG7M + HQ85YiFOpjFO0Bb0pl2eX64Wp5ery1VjBvYYTWv6XGan89WsjNLxbHG6WJrGjGp7NO2zycJDLo+F + N5jUtKvFWWP+aR/ry+WiMYWLjcfS+fLs0BgXmByqab8/mwH1TVY4ommNVSUtNpVqklPBVANY8KhO + KNcTwGsoAaFj3sCDuUVPxdaGPhjo9nBrxY0K16NgpFEb2AVyAUjBbi1F20WENQvkUVywisAJ6oGB + YYedUnlp77ADdWIzpb7OZlbUOdwHhCzk8D8bpPDn98lqfnnVQDeWqfEmtrOSFEqwL+VpWcEmD2IL + pV7BCoLY5HmIe6gE+oR+mgh2i5AYBG2EAW2i1L94mM7yeo2ioJmEymgjCK4jugnGtI9PKI4UFTxu + MXJGXxFVH3c82AQ4ZBSWaTgHiqycA0oDjrcoNXrhTE5BRxfAKgwsNsKWpIzYQBiriEz4baSybyYl + T1tKNSpvyWNyOIdPpUJynJQ8CnrgdETYT79RC+xYNlqrRyv7VwwKHWIC6weStwyUNjX9RBKtr+8S + hMc+8FggkBaW/dwcGrOmRBoeBa1yMq3Rwtk0hpLHJ9MuDj8O7/4CAAD//wMAU2wM4F0DAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4f548931119-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:38 GMT + Function-Execution-Id: + - pbmeavwjmg42 + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '13515' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - ab314b2e9bb880724cb82a80580d492f;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '88914' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 724ms + X-Request-Id: + - fb2737f00b14403a74927018f9a97197 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read a file, + args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get hyperlinks, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created"}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I need to use the browse_website + command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book. I will then write the price to a file named + browse_website.txt. I can then use the task_complete command to complete the + task.\",\n \"reasoning\": \"I need to use the browse_website command + to visit the website and find the price of the book. I will then use the write_to_file + command to write the price to a file named browse_website.txt. Finally, I can + use the task_complete command to complete the task.\",\n \"plan\": \"- + Use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book\\n- Use the write_to_file command to write the + price to a file named browse_website.txt\\n- Use the task_complete command to + complete the task\",\n \"criticism\": \"I need to ensure that I am using + the correct URL and question for the browse_website command. I also need to + make sure that I am writing the correct information to the file.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book. Then, I will write the price to a file named browse_website.txt + and complete the task.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Answer gathered from website: a + description of the book \"Meditations\" by Marcus Aurelius, which is available + for purchase on a demo website for web scraping purposes. The price of the book + is \u00a325.89, but the website warns that the prices and ratings are randomly + assigned and have no real meaning. The book offers spiritual reflections and + exercises developed by the Roman emperor and philosopher, covering topics such + as moral virtue, human rationality, and divine providence. It is considered + one of the greatest works of philosophy and has been admired by thinkers and + readers throughout history.\n\nLinks: [''Books to Scrape (http://books.toscrape.com/index.html)'', + ''Home (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '6625' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA7SUS27bMBCG9z3FYNay4bdjbYsujHZVNJtWhUFRY4mxxBHIce3A8Gl6k56soCy/ + lCyCFlkJmsfP7x9qdECTYYy6UKKruuzNPy+sfE8n43w5/DKdcTFbLstP86/y/PTxESPk9Im0tB19 + zVVdkhi2GKF2pIQyjIezh+lg/DAbDCOsOKMSY8xr6Y37055sXcq9wXgwxAi3XuWE8QFrx1UtK+EN + WY/xcDIbRXgVvyRGk3mEwqLKa+18sDhGqAs2mjzGPw5YkT8LOy4JY1TeGy/KSsBkK2SDhUNiAQAS + lIK3eSE+wRjaYJugvYRggkso1C+CNW9tBlIQ1M5oAl43Lynzpg9LsEQZCMPWUxPfOSO0El6tTUmg + uaqUbQqaxI2OMChoiqyqKIPU8c7TakepN0J92UuQ18qGHnvRF+U3q3ZOd/qX2Lmqn2B068yR8myN + zc/2/hn9ZgRvsvGtIBu1Zv7fR10qe7LQg8f3RU8Sez3j7cQdYO2MGG181R18pTYEfutCpxJYgqoa + YGPzRkuzc6QFjF2zq1TYi9AWUg12c37ovESMh5RCe7uZYOydUmbCg91zd6i+JrU58+1MWb73V9HA + v3bXJ6pjdN7U9sQXixqET8B3hB1fyuXdHT8lQu1V4pWrv9Xp/hr+/B5N+w+LM2wD3HIn9ojHCNfG + Gl+sTjuHMXrhGiM0NqM9xoPjz+OHvwAAAP//AwCkoYsdiAUAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc55dc9dee1ad-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:12 GMT + Function-Execution-Id: + - pbmegdid7glm + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '30081' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - a847bfe80cefa41d8c90162f62421032;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '85948' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.701s + X-Request-Id: + - 2138028baa9d1b5c4544e7197979eb65 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are browse_website-GPT, an AI designed to use the browse_website command to + visit http://books.toscrape.com/catalogue/meditations_33/index.html, answer + the question ''What is the price of the book?'' and write the price to a file + named \"browse_website.txt\", and use the task_complete command to complete + the task.\nYour decisions must always be made independently without seeking + user assistance. Play to your strengths as an LLM and pursue simple strategies + with no legal complications.\n\nGOALS:\n\n1. Use the browse_website command + to visit http://books.toscrape.com/catalogue/meditations_33/index.html and answer + the question ''What is the price of the book?''\n2. Write the price of the book + to a file named \"browse_website.txt\".\n3. Use the task_complete command to + complete the task.\n4. Do not use any other commands.\n\n\nConstraints:\n1. + ~4000 word limit for short term memory. Your short term memory is short, so + immediately save important information to files.\n2. If you are unsure how you + previously did something or want to recall past events, thinking about similar + events will help you remember.\n3. No user assistance\n4. Exclusively use the + commands listed below e.g. command_name\n\nCommands:\n1. append_to_file: Append + to file, args: \"filename\": \"\", \"text\": \"\"\n2. delete_file: + Delete file, args: \"filename\": \"\"\n3. list_files: List Files in + Directory, args: \"directory\": \"\"\n4. read_file: Read a file, + args: \"filename\": \"\"\n5. write_to_file: Write to file, args: \"filename\": + \"\", \"text\": \"\"\n6. browse_website: Browse Website, args: + \"url\": \"\", \"question\": \"\"\n7. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n8. get_hyperlinks: + Get hyperlinks, args: \"url\": \"\"\n9. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n10. list_agents: List + GPT Agents, args: () -> str\n11. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n12. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n13. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created"}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I need to use the browse_website + command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book. I will then write the price to a file named + browse_website.txt. I can then use the task_complete command to complete the + task.\",\n \"reasoning\": \"I need to use the browse_website command + to visit the website and find the price of the book. I will then use the write_to_file + command to write the price to a file named browse_website.txt. Finally, I can + use the task_complete command to complete the task.\",\n \"plan\": \"- + Use the browse_website command to visit http://books.toscrape.com/catalogue/meditations_33/index.html + and find the price of the book\\n- Use the write_to_file command to write the + price to a file named browse_website.txt\\n- Use the task_complete command to + complete the task\",\n \"criticism\": \"I need to ensure that I am using + the correct URL and question for the browse_website command. I also need to + make sure that I am writing the correct information to the file.\",\n \"speak\": + \"I will use the browse_website command to visit the website and find the price + of the book. Then, I will write the price to a file named browse_website.txt + and complete the task.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": + {\n \"url\": \"http://books.toscrape.com/catalogue/meditations_33/index.html\",\n \"question\": + \"What is the price of the book?\"\n }\n }\n}"}, {"role": "system", + "content": "Command browse_website returned: Answer gathered from website: a + description of the book \"Meditations\" by Marcus Aurelius, which is available + for purchase on a demo website for web scraping purposes. The price of the book + is \u00a325.89, but the website warns that the prices and ratings are randomly + assigned and have no real meaning. The book offers spiritual reflections and + exercises developed by the Roman emperor and philosopher, covering topics such + as moral virtue, human rationality, and divine providence. It is considered + one of the greatest works of philosophy and has been admired by thinkers and + readers throughout history.\n\nLinks: [''Books to Scrape (http://books.toscrape.com/index.html)'', + ''Home (http://books.toscrape.com/index.html)'', ''Books (http://books.toscrape.com/catalogue/category/books_1/index.html)'', + ''Philosophy (http://books.toscrape.com/catalogue/category/books/philosophy_7/index.html)'', + '' (http://books.toscrape.com/catalogue/the-nicomachean-ethics_75/index.html)'']"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"I have found the price of the book. I need to use the + write_to_file command to write the price to a file named browse_website.txt. + I can then use the task_complete command to complete the task.\",\n \"reasoning\": + \"I need to use the write_to_file command to write the price of the book to + a file named browse_website.txt. Then, I can use the task_complete command to + complete the task.\",\n \"plan\": \"- Use the write_to_file command to + write the price of the book to a file named browse_website.txt\\n- Use the task_complete + command to complete the task\",\n \"criticism\": \"I need to make sure + that I am writing the correct information to the file and that the file is being + created in the correct directory.\",\n \"speak\": \"I will use the write_to_file + command to write the price of the book to a file named browse_website.txt and + complete the task.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": + {\n \"filename\": \"browse_website.txt\",\n \"text\": + \"\u00a325.89\"\n }\n }\n}"}, {"role": "system", "content": "Command + write_to_file returned: File written to successfully."}, {"role": "user", "content": + "Determine which next command to use, and respond using the format specified + above:"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '8003' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA6xSTY/TMBC98ytGc06rlm7bbY5wqrggBEiIoJXrTBMTxxPZE9pVlf+OnKabblmx + EuLoNzPvYzwnNDmmqEslum7sZP1hw1+L4iOXd/lm3byffbKHu+O7qpXttwoT5N1P0jJMTDXXjSUx + 7DBB7UkJ5ZjOV/fL2eJ+tdgkWHNOFlMsGpkspsuJtH7Hk9liNscE26AKwvSEjee6kQfhilzAdL5e + zhMcya8LCQqLsiO0ebvqEtQlG00B0+8nrClciD1bwhRVCCaIchJtshNyMcIpcwAAGUrJbVFKyDCF + ARwKdJQIZriFUv0iGDxRDlISiArVFLaglQPHB2gDPeEPl9Y4UyuXgzCEshXI+eD6NlWQk2mGybWk + JxXYGVe8ogu8h71xuXFFjzXeaIpgfOyYK4iaB28kdhiJ8gr2xtL/dtxY5c5mJ/DlH/hu6HS0rE2o + LwtwRP1orSqC0PqooOQvMibAjmLqNlAOmr0nLfaxX8jTaC89to6+Gs8Neft4GzM0pKrXPqXfubG2 + X+4LWaENlw970fs0w7Nml1yOc6j8cZtO1XS284zpxrXyxe1ZX9/ZmeBztD6mCa3WFMK+tf0Wxslu + 8Ja5DrsE98aZUD6cmTDFINxggsbldMR01v3o3vwGAAD//wMARwk3SV8EAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc64648bb10cb-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:38 GMT + Function-Execution-Id: + - yvvl2c4sntif + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '18885' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - df845088a79f4f2e92c980eb9a6e2e52 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '85933' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.71s + X-Request-Id: + - d91688703794f0cfd634cd4bd337530d + status: + code: 200 + message: OK version: 1 diff --git a/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml b/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml index f5a406c3033..c45b71c84fc 100644 --- a/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml +++ b/tests/integration/challenges/basic_abilities/cassettes/test_write_file/test_write_file.yaml @@ -1350,4 +1350,231 @@ interactions: status: code: 200 message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are write_to_file-GPT, an AI designed to use the write_to_file command to write + ''Hello World'' into a file named \"hello_world.txt\" and then use the task_complete + command to complete the task.\nYour decisions must always be made independently + without seeking user assistance. Play to your strengths as an LLM and pursue + simple strategies with no legal complications.\n\nGOALS:\n\n1. Use the write_to_file + command to write ''Hello World'' into a file named \"hello_world.txt\".\n2. + Use the task_complete command to complete the task.\n3. Do not use any other + commands.\n\n\nConstraints:\n1. ~4000 word limit for short term memory. Your + short term memory is short, so immediately save important information to files.\n2. + If you are unsure how you previously did something or want to recall past events, + thinking about similar events will help you remember.\n3. No user assistance\n4. + Exclusively use the commands listed below e.g. command_name\n\nCommands:\n1. + append_to_file: Append to file, args: \"filename\": \"\", \"text\": + \"\"\n2. delete_file: Delete file, args: \"filename\": \"\"\n3. + list_files: List Files in Directory, args: \"directory\": \"\"\n4. + read_file: Read a file, args: \"filename\": \"\"\n5. write_to_file: + Write to file, args: \"filename\": \"\", \"text\": \"\"\n6. + delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. get_hyperlinks: + Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: Get text summary, + args: \"url\": \"\", \"question\": \"\"\n9. list_agents: List + GPT Agents, args: () -> str\n10. message_agent: Message GPT Agent, args: \"key\": + \"\", \"message\": \"\"\n11. start_agent: Start GPT Agent, args: + \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n12. + task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. + Internet access for searches and information gathering.\n2. Long Term memory + management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File + output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your + actions to ensure you are performing to the best of your abilities.\n2. Constructively + self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions + and strategies to refine your approach.\n4. Every command has a cost, so be + smart and efficient. Aim to complete tasks in the least number of steps.\n5. + Write all code to a file.\n\nYou should only respond in JSON format as described + below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": + \"reasoning\",\n \"plan\": \"- short bulleted\\n- list that conveys\\n- + long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": + \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": + \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} + \nEnsure the response can be parsed by Python json.loads"}, {"role": "system", + "content": "The current time and date is Tue Jan 1 00:00:00 2000"}, {"role": + "system", "content": "This reminds you of these events from your past: \nI was + created"}, {"role": "user", "content": "Determine which next command to use, + and respond using the format specified above:"}, {"role": "assistant", "content": + "{\n \"thoughts\": {\n \"text\": \"I need to use the write_to_file + command to write ''Hello World'' into a file named ''hello_world.txt''.\",\n \"reasoning\": + \"The task requires me to write ''Hello World'' into a file named ''hello_world.txt'', + and the write_to_file command is the appropriate command for this task.\",\n \"plan\": + \"- Use the write_to_file command to write ''Hello World'' into a file named + ''hello_world.txt''.\",\n \"criticism\": \"I need to ensure that I use + the correct filename and text to write to the file.\",\n \"speak\": \"I + will use the write_to_file command to write ''Hello World'' into a file named + ''hello_world.txt''.\"\n },\n \"command\": {\n \"name\": \"write_to_file\",\n \"args\": + {\n \"filename\": \"hello_world.txt\",\n \"text\": \"Hello + World\"\n }\n }\n}"}, {"role": "system", "content": "Command write_to_file + returned: File written to successfully."}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '4608' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA7RSy27bQAy89ysIXnyRDTuGnVhfUCOHFoiLBqgKY7Oipa1XXHWXip0a+vdCLyhN + XwjQ3hYccjjDnQuaFGPUuRJdlHZ6fbtxUu5MOHx72vo7qdanbHl9f3/1jm/fY4Tu4Qtp6Sdm2hWl + JTGOMULtSQmlGC/WN6v58ma9XkZYuJQsxpiVMl3OVlOp/IObzpfzBUZYBZURxhcsvStK2Ys7EgeM + F/PFJsKRfAQ26wjFibJj6WqxqiPUuTOaAsafLlhQGIi9s4QxqhBMEMXSyHQsxI2FS8IAAAlK7qos + l5BgDH2xB+gsTTHBLeTqkSBUWlMIh8raJzh5I0IMk7dkrYOPztt0AobFgYKDsQSsCkphkjf4/tTg + MznLZAa7nIDpLKBdUShOQRxUgcAEEBWO+947NfXxnVOLzhKMnqv0pIJjw1kndde3gaevlfEUoGh5 + Grn0erHQysuJfyEE7gxrgj8dR1zb3myI2tc/s11axZ3jKXwIY9/I8mzLX9m0N2K0CcXw30zUThKH + yjdzSmALpXePJiVQ0F0dDs4P5Iaz39KHktRxoD4Za1vfr5bcUdbRkNy+/afgNn/ZbfuB/oUo5bOX + mX+eqP+R/MFCa6N3k3CNdYQHwybk+243xhjElRih4ZTOGM/rz/Wb7wAAAP//AwDKh13FrgQAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc6e12bd2e1ef-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:18:06 GMT + Function-Execution-Id: + - yvvlex8job2h + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '22621' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 827e911ff253a9d12783cb62e669dc20;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '86005' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.663s + X-Request-Id: + - 4d357db894485be6e259654a899f2e57 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Hello World\"\"\"\n\n\nCONCISE + SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": + 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '252' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOQUvDQBQG7/6K8J03JSVpmu7RU7GIXooHK2WbvCarm33L7qsoIf9dClqvAzPM + BNtBox2MtGNw+Xq3CQ9DXFfPj09Oim5Xu+3+u9oO+/tPhgKf3qmVX2PR8hgciWUPhTaSEeqgl3Wz + KsqmbjYKI3fkoNEHycvFKpdLPHFelMUSCpdkeoKeECKPQY7CH+QTdFkr/KdvuFEQFuNuoKpmhXZg + 21KCfp0wUvpLRnYEDZOSTWK8XAfZC/nrvMmSveazPhKJ9X3G5+yALTnH2QtH1y0OwKxwtt6m4RjJ + JPbQSMIBCtZ39AVdzG/z3Q8AAAD//wMAv00f4UIBAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc7839fad10e3-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:18:11 GMT + Function-Execution-Id: + - pbme9het6dvt + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '1227' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 4a9b8edee07c9658c887ffc760c711e6;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '89466' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 356ms + X-Request-Id: + - fb5593e05606c34e2e9461ff82b28747 + status: + code: 200 + message: OK version: 1 diff --git a/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml b/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml new file mode 100644 index 00000000000..159f9dfa014 --- /dev/null +++ b/tests/integration/challenges/memory/cassettes/test_memory_challenge_a/test_memory_challenge_a.yaml @@ -0,0 +1,2653 @@ +interactions: +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '3284' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"error\": {\n \"message\": \"That model is currently overloaded + with other requests. You can retry your request, or contact us through our + help center at help.openai.com if the error persists. (Please include the + request ID b6a7095cc0e76b9901aecd234de4f5b4 in your message.)\",\n \"type\": + \"server_error\",\n \"param\": null,\n \"code\": null\n }\n}\n" + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc7929fefe287-ORD + Content-Length: + - '349' + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:18:42 GMT + Function-Execution-Id: + - yvvl1pjqkaam + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '30015' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + X-Cloud-Trace-Context: + - 92320c9bf2c16a55143abddee3e4aa6f + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '86494' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.336s + X-Request-Id: + - b6a7095cc0e76b9901aecd234de4f5b4 + status: + code: 429 + message: Too Many Requests +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "user", "content": "Determine + which next command to use, and respond using the format specified above:"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '3284' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA6SSTW/aQBCG7/0VoznbCAsFiG/NqVHUA1KiqqortKzH9ob9cHfHBQf5v1cbQ5JC + xaXX+Xqfd2YOqErMUTaCpWl1uni4bV++3s2bpy8Pptyult9+fZ+v7lbb5/7xNyboNs8k+dgxkc60 + mlg5iwlKT4KpxDybL2+ms+ViliVoXEkac6xbTmeTm5Q7v3HpdDbNMMEuiJowP2DrnWl5zW5LNmC+ + mE0TfJ/9Fs/mWYLsWOi30PI2GxKUjVOSAuY/DmgonMZ6pwlzFCGowMJyhHSWyUYDh8ICABTIjevq + hkOBORyDxwTtOQYLvIfQuE6XEFh4hk0PnkSpbA3cECgb2HcyooZ1NuE9Q6U0ATsoickbZQl2jWAQ + Y1HMsNgSWNrzpMDko6onEZxVth6lH68IRDNCxXlNnCWjc9+DspXzRsTyvxnGsj1DYGrDuXCrhR01 + U3gKY3W0uT5qGSNsGQfG4DXjRWFT+GyF7l/oou4a0RmQ9IqVVMGcjmCJXgHIhs7HZsFwD8JA5bR2 + u3/dA4SUnRdMuoeIT1WlpCLLuj/3H1oS25PUTmn9H9e+2PQoNCSnpzuu8+LnrDA0Mryt/gxT+Pr8 + VcdErH1vv8Q8QbyCHHkKO+CQYKWsCs16fD3MMbBrMUFlS9pjPh1+Dp/+AAAA//8DAKcjlwMpBAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc8867f9a2304-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:19:09 GMT + Function-Execution-Id: + - pbmesm0aoa9z + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '18581' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 244d650faeed742e67c771ab39ea3909;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '86494' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.336s + X-Request-Id: + - bd98d60ec0822b964eb683bbb670db8f + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"This task_id + is 2314 Read the file instructions_2.txt\"\"\"\n\n\nCONCISE SUMMARY: The text + is best summarized as"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '294' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOzWrCQBRG932K4VtPQn7U2FmWSiuuSlu6KEXGydWMJjNp7hUFybsXobXbA+dw + LvA1DFxjxXV9m1Sr++/Vgnnz8XRoqmqxeCuWp339/tC/vD5DI2725OTXSF3s+pbExwANN5AVqmHy + 2XyalfNqWmh0saYWBrtekjKdJnIcNjHJyiyHxpHtjmAu6IfY9bKWeKDAMJO5xn/6hvOZhkSx7Y3M + JqOGa6J3xDCfF3TEf80htgQDy+xZbJDrYQxC4XpvlVg+qJOXRi0fVVHmEyVRDWRrJQ2prW9J+cAy + HN31gddFKmdJMWpsffDcrAeyHAMMWGIPDR9qOsNk49d49wMAAP//AwAqXzViVgEAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc90cfd676375-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:19:14 GMT + Function-Execution-Id: + - yvvl4c81ashb + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '2097' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 6232341524f6b478562ccd013bfb5708;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '89456' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 362ms + X-Request-Id: + - 598ef1969eede681b5f5554e147d12e7 + status: + code: 200 + message: OK +- request: + body: '{"input": ["This task_id is 2314 Read the file instructions_2.txt"], "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '132' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6XQ+6Orfn/fMpdvYt80RApGXfISggLy0Cok4mE0BEQUBeWqAn57uf4H9yZubG + RFpC2q61fi+r//Gvv/76u03LPBv//uevvz/vYfz7f6zPHsmY/P3PX//zX3/99ddf//H7/f9m5nWa + Px7vpvhN/w2+m0c+//3PX/x/P/m/k/7562+tbgTCX7NTTz5wyiE7+BFZ/N3oTPl718IbeCJ6lMJb + Ol2FuoOhNCrU3t/P5ZJ2ywLl+s2oxx+TfhCgJwIopBesY2diEwgEH55Sc0aT4vb9IlmEgxE079gU + TT2dAGgD4EqOSyTmn9JpMesMenkyU61pwrQPmqmDY3R3ifActZSVofqGWu8M1BLNvp9JNIjQvSAD + o7yQHYbmhof37O1Tl3hvNvWcxYHvXLyxrtVdSL3hHSs0tQ9k4+tD2Ytu84ZKnF+JfGUvNtOxt0BZ + lSU2dlmeMu12kuH0tF2MoeuXE+b8FnbaCeH9NqpSJifHANxK7oxPt3MCZge8I5kE9RHdItPsZ27D + d4Dr6ZYau4wLZ+OCfLmj4QEN9vcYipe4tkCOH1syPF4iI08lV6F/QQ25EFtK2T05WdCxuRu2RVgy + +oaDBO6bR0xNTozAgjfcAG96CbCVvXVnSDrjAJVd+sC69Fh+4wRU6k3DF9fmw/kK/AqaQS6gT71R + 9aVJ+Ag2ZTBQlF72TAzexgDvDXenJlEVsJyihw3mkO3p4UX5fqBvRhRdSBMkiee4XMBndwPwds6J + ZAePfjLZSYTLu66xPR33jNxeL1tZnCHCzokXwqEhag4KztapaabMmTjhiGANLjdsbw3EBAd0EXzY + W50ecmKGE+/INWAfTiMKLESH2UJhwXJfP6jd82dduH73lgKsrUeUG5T6gX7yHNJm+8H7I3g4MyjM + DB4ky6b3SyKVg5HVgRxeLAeH+AIArbcMwUMW9kQWoc7Y9vPhoVd1V4w7oICvploB1J60xO7DU4EI + FCPaNbcnJruplMtv7Ns8nDW6QUpx6MP5dGgR8D47Sm1tSNIhLNoWvtF2INCExGFuWKmKYB72ONzk + T7ZoWEDw0cQIVUItASLUOQQWrnvs2d+xX5rH1QDeB1CsC7VfTp4bqfB5yzwCVfByBtizGuqm5lCn + ZUO4bDwkQWd3bbCTdEO6PNtShMy/nNBHFqt0gtd9AoXQEjEOJr0UEe4zWHeGSgQhE51JzYJ8s9vd + IFXP10f50VQ1UFR+ayP2+uzD7TVMAmCe+RN29kedTVlmT2AE4YPUr3PlDJi7tTCM05KalrDvF1lS + RZjtuxsBe0wAGwrZAIa1ZX/yn+1hO0GaThPqEp7qAxNiCJvHd0HiTbT6gS0QQTvUjwSGyAGkiLME + GpZnIv6ze5bz4t1uwHz4Z5zG9xSwsSk4pdlcChJJoa/TDLUVPNavO5KmMkj56dtVUMwuL3p8ju+U + 8vpFglGhfbDrdcFaD2ghH7GWUrVuff2LT6oNbQu3aKM8dykVbXcBxV71sEYlnfGSaUngVRMdH16f + b8+2WyUAl2DTY3RrbTZfFRbDoowbavLcsZ8dbxYhH13O2HidD86sab32O1+kzAcvXFxei8DX4t5Y + vbRI78TNxYe7MTIRyNBnXV/LybsRMoxz103JmM0FlP2dTFVPb3qaoaKG1vu1YHU53MBwK/gcfk8N + omj4Js6w1eAEDmfpg95Wfi4J3CdvOMy5ga26eoRMPqYGDFj+oMa56tjcRmcN3j74Sx721yvn1Dnb + 8Csad7r/OoeSH3SjkJmSbaiJyiObB1BnsCn9AYnm5wIm6+wNYK+GIT2V9zFtv64bg8a9JTSDxQjo + fc4NcMS9ieTNyw4nTfAnxXJUngCDtToTheQN27dxxs6OkXDmNrCFpSYI1LiJbT8eiloE6lk64ENn + +zp58Icb3B+fInWl+A2oek41aH+DDuv6LtRZ4+8q+Llo4rpfZs8fhwQCLB0mbDH/GxJj8WzZA0VL + Y1ed+zEydi7kCnIk0sf89u2L1Br8DC/2y49+hmKvAQ3lDrbG98dhXeIg4N15mToRbPX50W8IfN7p + h3wl3tFnV21kKH1hj+2kOzjzsZI5aOGqp9o9assJ+YWtnEBh0tjaVCHRKnoT3328pYZ/fuusmg8x + UEcorfjEpUPS9JEcxxeTGu9kD5YQbwKQi9MTPw9NyZZ+02hAyt9vNIE20Cm29AyyYzmgieyKfjxC + LMF+3zzJtK6H7F6jD7YfWGLLND/h3C0RryBOPmBdmNK+Q/LsygdVKPHB/5jlthBEFUZRnWE3Kb49 + vRMWw0qCexotaVHOQ3V/gwjkI3ZFGIWkfVoZXM+L3u/9yVmS6IpkFCQyRZ/8xZhwn3NQ7DUPW3eh + Z71GYx58+wCiWZMpW9b6CGdt3KApaFQwi+84gd40ujhWCWPLZXO34Os8ikRZ43V6nFgE2mNjYPvK + 9mCp95wKK475FMv5oM8kqkRYOSmPLUv4guXGpBr8zrsysqZkZ7TESm6fIySyirDxfuh8KNFZxvbm + 1aXTOd/4sCtFSKTp3qTDPlfQD38JlGINTHqYdaAyvDOaNrt3OXdLxkP2ujk4lbqp/DYBbWFGJoTD + Fx3CSStPEXh3xKHmODRgUhlNYFZGBjqHUw2mOPFqoH02J+o8+ns5w523gGufnPHePMhsDFQ7gvZk + QyRtNglbvpUHgcPetzX/vJQ9La+APXf4ogaeHmw5fc0ImvyM6fHzmdmcnJoFet2zRr37Gsrl8Uxc + QGRKkG+7n5CmZbLAeOED7KVfWk6sGBb4pFFOtbg5h9Mx0QvAo2NPpu9XSceTaXNgD6cHvnX9mw1X + gbQgVB2ODCueznfzqMF49G74aKnfkB1yaYHuCzQUL7rfz49AVX/rp/fg7qRLH9stvGl+ST2xNcrF + 3xe2UhhC9sP/ctlIWQtd6eTiNIKWQywQL3JXPVtql/dL/9WuDwRHkdZ05YMplckmk3e7BKLXESjO + rHI5D1IKv9jV0JfNyRJMsHn0C5LMs5/Sp+W9QbZJZHp8E9yzYyn60IeGhM3TaVvSoAtvcOG+CbWi + VCkH8eK6EJrdQgDk034uxGUAaz3Fjvbe9u3lK/tguc4ntHydgS1cxiqw4iF2+7johynEGjjfEUXC + sMXltHkrCxBfXIoEr3qXSykNMZRToyOb9GLr4kOkNhDjIqCGUupsyzWlCsh1aelB2Z7SafMWJqjy + bo6PbynpWcu9DVjsux1Fu+fZWRLFRtDHzUhP+H3Sp1pbBsAOO5ViJz+CWbtvOGh0rxd1guMRbLvE + ceGzKjUExeWbzkoV1ooPMpeeiCDqDBbQApi9d6jdWRKgsIA2QJx0wCY3fAFZ6xV8i1aEs7zjy1YP + oxaW++pBTSyicm6juwYIaXfU018JYDC/36AB6hKr86SxZV0vRKFeY9dcSp0U4dyBiyGJ1G2VTdl2 + H62D+lc5k754AzDfqaRCTq8QVW/PKVzxiYBHKh/xvsvHcKnqSIaWo/FkvkRqyNJi0sCQogIpk6yl + q97g4WuxXHwLSqT/4g1cvluINpfZB4uiKz5IUQCofs9TxlLhjSDiaYSIfr3p8wJUCUQoEuljucY6 + qUrZkpddtiXLzenAKzqlHAB3GdMj3ovp4EyyDHtJNggTprScLhfLgPmpbWno0y6lTnkjMJrPyi8f + +uVt3Q1YW0lA3ZQF6VT5ogYlfrKw7lM73MYYWb/4wFpR1+kUcUMObbOG1JbNzFnsTSfD4LxQ7C1X + UWfbooiUvXoOcRg/SL9s9VcOlffLpWoxFYAoVFfBZygZocLhAZbp7HPK63y0ybDWe36D9AruSueK + jU9Knfmr7WuoP6QMe/xRLsmezw67eKgGerwGBhCse5LA6/ZpkO27Epzhdb0fZO8uytRtv6d+Wo76 + oPhwrChWCy4ctHIfw89ijxg/nxdnxccIOtIAqDPfAjaf8qsMg+Cekh0eeGfCl7GFxySrsPEcu5IV + L50Hd8PvScMNJ9bt7FsMhdAWsRmll3DgzGwA8dmu6Cl7OykDzKmh5D0L6uT8Neyzsx4DuNu4+HB6 + RIxVR7ECWD098LE/OQ4jl/MbisqtpG5x0J35YzBfWd//jet8Q9RMaW4PjKZnvKT0trd5aHwijnpH + /EzHW99L8DzRERtROjrTZY8DON82FTY5kWdLsqkgeHrqgUZ3tdS/S/WJQP6UPHxKuBkw7baXfnzs + Dx6PMoX2Tqs/AmrPyRROKUmQ/PLzfM0vmY1oOi0//YfEbtOGrA2jGNz0FyBDjO8OA1MrQupvItRJ + fJi2/nBC4DW8AiInPNZJ7tkLXOsxqodxAOyIXWNHlTxHSvs02NYcsQyfU7OlqvMkznha/OGHv6hR + k1r/bLRnLq96FJXH8NWz23Cr4arv8EH/fEJ6Ec0FDlBGJHpLSzq+GqT90Yt7QY6dL3gMAwDPMaf2 + 42Wk22mSa/Dj7/y4X1LSbxoViJKr4rugtIw9p6lQ9hfZpSdXCPSB5bYGjxdpxCEle0f84aNkBQqq + qsxhS9GjCpiP4Ex1T2odFkOug/zEZ/jkbh76fNkecqglLxUj6tY6s4XWkvmnNZLlKsv6mCzBAs93 + lyLutlwAYVZqA0lIeOy4r6EfZz7QAG6yA3o9tUM5BVulBiZvlRSjL+dQtW04ALX97sd3HVa8HBHM + ViRRfaEkZRN7xHK5iTekUavZ6fPrgmCccipaFO2s//F3lJdUrPqlBKy2NQLUdrlQt8HAWYh3EJUV + T6h1FxywVAAffnqYwFPR9GO9Nd6ytUCLPnXdTsW9KIpwsE85NR52XtLhs63gMckrsnOFRW8DIeDh + KGSIRiQC+hAsk6Gs/Nxjk7ZNGRYAlMn+pVN3ja/JOJ5jZezamcxIe5fj1jllf+oX9mIhZPUWIPhq + Ykq68WaXY9j7B9g2AY+1ZXd2ZlMTebiJwi09ip8QLNvLJANCVA97pVw4w952NNgeuAQb1uaQ0t2Q + EaBI1pFmDQb66HKeIf/OV831b8nm08QB5yx2qHev+5K3XMuFaTcZZJe9nZBdP98B6u42oeqzUFJ2 + uygqSEGyrH5CCUZflFp42eQCRfEx71sjq3158O8HbPf8rFfnLHvDTffKyKr/GXGd54rnNKb2o5/D + ytu+JtiedYzt4s36aecaCTyhm0/Pby9joxGUBTxhFVKr4YtygtfTDYiOccJe1L77cf+tWgWGB4Df + jmP102V4qEC6gS82OHEo6W6IBhC0vYpNeHqAOQNDAlPRxXg/14VTl+KpBuv+oo0c7fUxfic+9O4u + wtZjEwNh5hMNHqRFXPnOox8LUR5AOGgZ1fCF9ePFEQkEdwnjCO+RMw0kC+AsZJTwVS2ySf64BAiy + blKVeWLZ8lsrgtuDL6AVf1Oxw+kEtr1jIF7IPDbnB+4An9NnS+DKF/ptUcSQvRKH7s86BstIVU5Z + /ZSffkmnKTQ16Iy7nGZnoOvT5dqJcJzkKxGfo10uU8gGyHeViPGiTz2z8VUC+9dmT7ZAaPrxDDgL + gN5pyDY57cqFy0ANL4YsonLvQmd8Tjr/x9/pDz50ls8mRPKKB6hZ589L8JD++G8n0/RKho4tgZ+a + VORrnqWSNeVelR+2oGMUyHXI1LLLIXdAMlGa4y1lvZ2/oTpyEvWKg5NuY2xYPz5HJNXXQxrq5wma + pjaQzcvb9SyVGwK70PXpWXbqckqPjQtXvCTbHz99TtMbdvLo0dM2gf1yr3RJSfz3HVv3vgBEms+c + supDssQPI1zrPQ+DUSix9tQG0A3GBcJlvGk0fpMtGEQ10ODlYadYhxIJF1myRNhLkkH3zsUJm+Gz + rcGj/dRYg1LtLIeWvaEyRi1a9Uu/xAtGEFjoRQ+n5gnYsv1mPz+TnhK+BmQvciI4P/ccVmd5ZIMY + fHMwRqmLUfp02ZwUTgSPr0gkDF8Aa1Z9A37+r7P6QVOsTa1y5/cII9+j6aypqg+R60Rk2s8nQIK3 + QaBomJAIJpX6lU9asrt9F9i++AJj96yUYGvPX2qZ5jHlm+Ml/6PXPa+TwbTjdzfwFccjtseb3U/d + x+4gL6obepruuJdI4UPo48+IDyv+/OGPfqEdENgxFM56+o0gZWeCjcqq0yryAYTregmbtGu6PJ6B + C29VrSC2+ulz3Fwn+ZePo7zM5XI1rAMcntMVR0a99P09Odkg084Hqn6fQbg0CYxBLZOBGmu8s6P7 + jeCnD9K1XqjlRATdUkB/atB8yE/h7N1rF24P4LXGd6ZP990yQTvs5z98ainFfQ2zh1FgtZB7ttCy + vQHwiW9UXfezV85mBpfsqlJLUNRSnA9Yg+nn5GH1GQfptNX4BV7auqLe7tky9nk9W6i6oU2PN7FI + Z+g8ArDGGz1xb5zOyksS4XX7MJC86rdZPtQJHC1FpwduH6WjcAgqyB1cmar+gWfLdvREefXPqOGI + xpr/WJW9T6hj+wX3YK7uNoFvJAzreQTh6l8uAJEnIcuyO+tbi8wBnF2ZInHFsyUEnirbD/FFj6yq + e7KuHyR2wBCpEFdOZXnMoWMkLyKuftGsL6IPf363frc/4Bs3z0nqzMmkpngm6cSEmAPfrvPJm390 + /aJQR4V2dTCxv/p9Kx5yYP0exque47tmvMlXBAyK9KukD+iTRPLaf8EGUYX+e65ervIwQpdABhqH + ffWmg8eLPK7++wssC80WeJGDgCKzbcsFyTsEn7fco6erUvXCz5+0K8KwCQSz5H09d3eVc+exIQ+v + fq3PA7Tsm4XuqqGu9eqkQntTYHoUKQeG7qO1culpH+p5BWbzGGgHYDx4lSbT8cXa5a5IcOWb1HZ7 + ms7n4D7B2Ja51c/SnOlFiCqrY+RSP557xtr9Qfrp0zUe1JAFly+Cs/wNsHWpQNpNtW7DwzDscSou + L2e+36McFgaasF37W/Dzw4BpJCp1tfeTzW0/QllODx3W3rrsDEI1yco5vwfkZR4SRqG75xTBNPZ4 + 7zhFyIYyE2HnfWKSqeClT5r7meDLFipsqFXLBiI49m+cqt/vI5xe17MBjOfxRtVLXuqzp919OOnD + AWvaNDpjb0k5bIz5RVHuHlb8DHz4PqmP1f/fgLVf4EL/dc4ITNmSLv5Igz/vu5/FDGdfnDq4+lcU + N/LUzyoXi2DVd6S61nxJe2EIgKgkJXlpMgW92jYQQrmRqFluH4Cez5eDkhwNH3s1GFN2sDccDC/L + FlutFTP680NXP4Z6M7qlg3itud9/lLnXL+CvpmhB7hXPKHhqLphU8pLgXN1HrN6efji/GkOFnrcc + CUg6N+3L0HrDZlec8e1Spenk6FoCuVc0UwfyoK/j8TRAMzy+EP/cfvQ59goDHpV7h1rbCnomZJGr + YDv28HHcJ+XcP7oWGl9ZIPDhqYwnxY2Dw4EDqOexoJMQbwNof/3u1y8p5x8f8e9Tjj6fzwy+t3g3 + wDV/Vnz3y7V/ZMNfPuaffA9YLKcyvIpiQgpUgJB8XyWCmflo0GadPzdB04LQjglWv18lJHEiBzA+ + Dik11cTQF9Xoa+girkDDBy7p5J1mHy6ZMvz8FF1caLTAnx5L95iwtV8kgpKQEElrfZx3UWiAZUw0 + xBkoScVTXdXQsARGUR5TZ4LfmwhGIUfYwUgvya+e/vzCQ06adEp1N4Mr38QHnwb9H3/5ddQu1MKi + yCahSVvIMMnoyVC0kmyEWfqD3z/9xUp1PsCGG3i8ryMt/OMPf+f3G1sbAYOxHHkZ0Hev4aMqxSuf + uUg//EDbc8WcGaR7Tln7Y0i8BtT5+c/wmmwAte69yibPzVQYx1cTbdCT6cPaL4GCG1Rr/Ezp2v9Q + AX4JDl7rN2D+a78o0uSecYBcAdBzuOXh5cFM7H0WWpKTolpK3z4muvqv4cyUsgPbYlLxxf9g0H3d + nQar95Dhy5JaK38QRWBJdk/CzjbBfFVjGw5zZmD1ezHT2a0lS3EvroG9PK7BHKhaBDeC8iHT6neu + /SteWf1xbJ/40fn1e6FJXl981FOtJL/+3crX6NHIKJguezOAZRg4ZOhjtRRLG4hAD7KInoJ7H07L + dM6g1H2uWBsvWzbLmt7BjrS3lR+OJdO6ewRKmVlIHMo92Fp6+ZZ5se8RLXZ6v/pxBDIohmTa7LR+ + keWyAkFWOfTxnt/hvNYbMNVaTuJ38mIr/mlw7Q+g3/ytfpQzuG9OFeEm2S5ZLfi58vfvVsB//uuv + v/7X74ZB3T7yz3oxYMzn8d//fVXg38kj+TfPi/+m4p+bCGRIivzvf/7PJYS/v31bf8f/PbZV3gx/ + //OXIP25bvD32I7J5/99/q/1a//5r/8CAAD//wMAMvLWqOMgAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc91e49f486d5-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:19:15 GMT + Function-Execution-Id: + - pbme4ambn2d3 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '156' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - c0d4388eaa5635db1c89b13a41bd4308 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - f01268b23b94415c41df7d0463c49b41 + status: + code: 200 + message: OK +- request: + body: '{"input": "a task with ID 2314 to read the file instructions_2.txt.", "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '133' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6WQ+zurbk+/kVW/uVPgpTsNlvEAgzNkMG0mq1IAMJCSEMtsFX97+3ku/qdvdL + pIBD8LJXVa1a/o9//fXX313VXM/T3//89ffrMU5//4/vtUs5lX//89f//Ndff/3113/8Pv+/kde2 + ul4uj3f9G/67+XhfrvPf//wl/veV/zvon7/+br2rT1bEM3innc0WXkRwIO82FEJy240JTK12oc7e + XIdTdXKv0FZ2NsU08Sx201gGyeYzUy/uTlWva0kP8T1wMErFQ8MC1UrAZ11esFUcloGV60iGN1ip + ONrIJ77E6SUAyqR0pMu2z4EdrHsNryITKXb5CKgpzhksBvbE/tM6h9wMWQk/xzejDpfqgfWHYIGh + v0fYDGo9ZMKqsWGxMidqBGzgDPnDBoLtvMFRm0vhBN9Zr7/gKUaqPSScrXfyAnX3zolyP4Z82SWF + pgkD5thZbY5gmS7lAoNgsvHWzJOcsRiMoM4mC2PbfYRT//EYaI+RhDdpeqmW8BQ4YDnhHXmdHD8k + swEP2oPPa+oLZMq5BE8OUHYyIeQF7Fw8Z2kNLoNWoYVEl3ypbWboU/XcUvcgsYGLjX2GdXqhON6/ + 5maq5zXUFDvd05CKZiWGzYnBoxzusfuyDpyuzp0IGci3OHjnFCypKPfrkz4o2MrSTSN2vZgBxeML + uTG7bJaToRjQi+IzDbFtWGJhrMX1lNgN9aZnV81FLRba1lbO1PbtMCefxxLotXx/YeuVV9Yy1Jsr + eK+qDK2+8WD0QgVIhM2MN5Gx4j23TE3vZZ4jiRplOIlLWsLEFjoauKse/Fmf/nhBGB1PviXp690Z + 9pkwU7STtg2zjKwALvEG6mptDWZ6fXoAU22mKBpxrkwsYbr1KBmS1cWvaDveFlh12gFHa10ZuDG1 + Zwg1o6JnwozqieqHDSJ7xPhmuw+LQifUoL6TLVTFXcPZ42wnMGahjMCTZwNh73cPVdFIv/tBAXNk + 7cr1DbcVNff9Jief9TqC68vziX2bHq15ibwIpA9Voag+zJwm/JXA+LV+Ix1H48AOSWvrazcv8WaA + qFmMVn3A8FUG5B6dnmD0GqCC3JVDbJ2uJ8D6VdgBoV698FZMj5xpZ/MJD2faIM78IZ8MCErgWehB + w7qHOXv59U5XvU+CYyK2w6yO2gbY5ijRKEpiwANZceDM1D2aZlvKmactEOrj+4OmV/MJOVYfj9XV + GS1qgkfA59qbHV0YYo69Zx5wSfh0CBT7S4mRPCFr6QulgyB59qhdTna1ADW0oZ1liNrZ3gNMbw9X + 2GZjQYDz3oGFCoSAsrjdMFoJw7B8HF2EuQBkxA7EypdmMCOoT6KO1C+eEPamPVTXbEMDXCthf3h2 + GWQy62i8RLAhQA0dcN5ce+wkcQvGzbgR9GzaNISp2dEa5WN71qi8DtBTPbhArJt1BM1Pt6YhVpf8 + cJyfIgxtccYmn/yGtdXDg/AWcbrhF41P0uHigFVmH7HD7+HA+xOX4W6LTVJdyaaR150KQdQ9ZrwB + bRouue844KEtAkZ5svAP4p0D9ce+ohuVFM3cDeoV/uJnbLvnsOSKjaCYoxua/THg7Pv+UAM1x440 + l9WIxfkM4eOmI81RrGF+0E0GtTMi2PHFO5/KaKMCRSpdagFhzCcvno0/+R9fZRwuavB2oFNtbGrW + 1rsin5DbsJJPhCIamZzVkRZALngdtsJn17Ai4z3MnVahpj/2nAnTJ4OFK2zQoss3zpu1L8Ci3XCK + m4w1DLJCUNft+0aYGZ5yftZQBE8vNaU+2vnD7N0WEeI+NKgbeQcwPxy/hKqQ3Gg2x1Hef9cXbG6Z + h8Q0vg9U1MIavvT+TuDlMDZz//EWKKrJHke709Pi1iFOoFI+b9To7QTMWuE9YEIXjGQu1c0rsnYF + LAPo0svRnPhwVQ4P6CK5xZEosXx8BJszrJrgRcMocgfZKp0dOChNSGbNIcOkwDbTut3Fp4V9BJxK + 8GTDRlQHauTTrvoUtVjCiYMtjXZbGn6U/FUCfXx9sD/W72o+XomoxW8P0MBRmoaxm/6A6bvaEeGQ + mpwtjrPAMGgfeDt0tsW0DwqgNzKJuitHsJhg16V+jMU9TdP7aPF7pjJtjw8TjQQn5sy0Ageshy3E + VnJPq6lrQQQiH42o25lCNdXe2oGr8+6Fj9bNsqS1wGUonW2FjLuTbdVuqtlwSVCJxI84NsQ/wBrS + 3O6QvrsE+bLyHyLklxfG8bMyOTu8X57+nT+2Su1g8e5IMu1xZzY2zBvK5ffrLv7ijT2oSaCnt+4A + 87eX0ItxODccPAwE5QN6YjPTvWqx5rjQbsX7QE2+vQ389u4T7do/XjTK6nPOTqOXgR+/hCE9h1NA + bQgxVWdscbPhzJyNSI/j9o1kWuwrHibWAlk6Lvj6As+cacdoBx9pNFCk6mf+fX4GDOa02E9Na/jM + tl5A48Mripw8yGdPnjUYmGOAdwDV1UzZC2rm3jsTi0uyxbeXxNHfkm8jGBdS2B7Lif3JR3ZtngPL + qmCE2WQ0NIx3iJOfXlCEk0kju4qaEQBXgC3jPhrjsbfmTyCov/H4Ft4UfruYqa3rnRthc0mnnK+2 + dwbJTTBoMCbFwEKtkOEXfwmU/G3Fwua0gK5EGvXN492a+cleoB85GjaC84ETo1Vr+NsPL3tV5fNh + 1RXwEZGYWr06DfMPH+TkzJGmpG7OhsbdwVHKAI1xNDa8vrwXCMWkJ5ImpM2cfcIraAqFkv5wby1y + nJ8yhMnZw+4unazldAYH+Lsv5vPLWvJXUIL6rKfUuK1qwDqH9fAbT5zu+0f+mz84N4ZFsbL9VFP7 + eWhASuUPuX/nv/TFqgcQDSX15LgC/Lavr0Bc6ic9HC5S9flg6P3whHze2G94Gs2CLl7OE3mkqZ6z + Bw93EAaejvfT88LHAsAHWF/aJ0X+al9NpRQu8JW+W2qImmkRNXjbcCO0MWLK1R6kFMsinKViwQ5m + Vc6u57aAfbUakFBvIO9IMhQqaBROA3fYA15CXQVFFYfYiyHK+f6adtC9nyTqLdKWL7fTvYapv2uQ + dluagUITddrWls7Yvy7Cf+mHSdMCsvajRz5zFsrAbpeBLGE0VWN+KbI/8cMYWtasmEMLPscXI6rj + xtZyHN8tlGl8pVuVWJb0cMwSBMZV/q533EjgFTtasz551KCfJqd0+thaBcMbYl/+ma+XvlUc7eBT + w7CykB2Pqgbp8b2l0eLJOV1tPwzs9dOVzPv+Uc32K0P6CBODRj4WwPf3T/hOXERet8Nx4LKSy3qt + LGu0sO3W4v5TSqB02YXYXhG9Gct3uAE9yBkS14sd8r2UEN041Bm+bR606iVS7ODr49nY0bWkYfTy + FuAINiOZZ98JuVBWCaS8M/EffKSrXoO6UBzwoVF8i8nbZweKk66gZdea+WS/SgQKrUnIfi33FR+4 + d4bbp3//8gfjXHXIZl1NJccodGEzgzzMoDX2At2k63dFx88Wgm5PLkhIxcPwzWcIPZescKScOKfW + ZO9gfi9uGBV3Nszb5cDA1SEWjR7Blc/+uCoBem9ORKWizGfnMmUgeNUjrarTtVnUgNpgKwmIejEk + 1fQJZA1YFy37kx/05KhXOK/XmHyk+cmZu2IILnsY0nMOi2a2URXAn/4Lok4YyE9PvMv9mWJJf4Ts + 6ZbLH7wJtm6Wy/NHRwCbsklIOa/C0QloBu/eIaPWeaMPi31PA11Z9XvsU7vnPBwNW7+fRYrLJx2r + hVu+BnS34UTZWC2YCqiOwH18fLT6vi+7tLWmyyAr0fsgJY3SjkcGagsecc4uRiWZihzAh5zcMZJe + Dp83K0OAcCe80FpvnVA6K6cDvNz7GL191Qt5LO8EsDJrgcZj0oSfK30WOr/KDVkaXuTzGzwJ9OIr + w47RPCvOVwYDjb5+0fCStTmPQYagSYsesfx0q/ib90/oDfc7Yv6ONjPitQOhXUVo3DacdxYpHvA4 + AAeHL/c9EFoONngeL2tqzK9LSG/r0YGfy/FOMfFqPkfjPvkz3rgDrSGvtDwDrV+ViPfPYmBLYmZA + WJaMRkL5ALyazE6XV4vy5cs9F5072UEjuBzw5lMM4fyW6RlIoIDU0uSttRziTwQP3XL74VH1Rw9R + 3pvYTuN7w0jYBqBKjyo1+3MUjgEOCvXHn/4YLdUs0/sIhdjf0JIYPv/WQ1dgIimlzgRP1qI36RO4 + 8SujOO+QxXcGXn56HSODHPkcFrEGjun2hkNx7sMRLY0Gv3z41bcZbyM7aeEuX03oHsJTzsRbVUKx + gAk2sw+v+OIrouaO6yOS9RY0LCn0ANaL5dFN4stWl/qGCue0TeKVdll98XBGGnuuAFoN7gwmziwZ + 9m2sYbezt5ynGnPgpsstIgrtofqz/9exFVK7VuyQnkwQAVOLMrp9HJ1BUsdlA8OP+sbezrxWX//i + DP2tK2HLUAifW1J7+lcfUvs+yPm026WCfrSeLk4i0x/k9KI8oaDWFoJPy2m4GjYJtNy3Rz1s7wdW + fZJWZ08d4Pjc1s1y018euG0PMWLzS7cWS970sDitFMSytAhHt5sD+L4qayTHkQLG5+ncagBxiO2m + eg+snQZBi1y9wJvHqrXmHMQJsLrgTmPjcB7m47WVwVvTJPz7zmqJb/48b7oFz3D+zg+AsxMhXf64 + YLiDudegBz5kWW+mZrgq1wcAZzvCxip/Adbagw087nz1hroZvhXzVXd8fCRKUTbVkuxZop+cNqKB + kr4rsj1XGohdWabR/h5W8sU4a8CKd2vqbunMqdhEZ/jEY0Y3unwDS4jdJ/TueU6d51AN0xuMBH79 + ICLMZzawVdMyaDl7kUbkHFbziLON/tWv6Bju7IoJ0z351X9Ek+6yNVP35cDyGidEkqUqJ4PiP4Db + lRo2TcUfvvlsQzyUO7rdfXQwaf1mB9r96o68EV4rFmqJrJcfQ8XRtsnB+Iuf/jhWNCaiM0w2PGVg + M/KaItEPGlZHSwC/eINWdalavPXOHjhAq0PwoL8bMn+kCH73K41PKRzYYd/s4OooemQ2qjgnV9Y9 + gRNcBwIO63s1BY5twwofNoiqcQL6FaodXauniOLD3rOW8LRx9FG03tTM53IYoGOpYGeQJw7Xr3O1 + DMjroR2uLBrrhzufexA84ZePCXfdSz5/5wvDj/bGLj1XQ1dfOdS/fgQeBWcC9OMuhrYdvBYfQG+C + L3+qWmCvcuzK/n5gOFTbn/7Em/S1VMNxuRswvlcBkj9ey+mPP3/5gYgaASk7+j3si/FB99TQwhGL + 6zP44hl1H9wL5yUy0B89lQZiFs4PMwrgV++jJX0t+RJ3OwQDjO8UO8NrGK/4LsIghAV5rxwhnOG7 + 7H7rS/hhvoFnfRJG+POv9DGxrMXA6ysQxptL//h190Yu/9RXxsX1qrmMAg1aYyfQtKHZz69b4Gfl + IWo21cXicXy2oWOP2h98mNVSRSCNFYMouzS2uDaL5z/4GUfdx+J5EGRwh28Yycf1PHS//UkL+YSk + YUfDOaARBIs3ALIO2ZbL9j31YPl8VIitSf7zDwms5eZF1tJsc6UzKNJoe5yRhsXIYu1h1KB4uU6E + +8YrnN/PqYf74tihS8ySSvnWU8CxiYYG++hUdFEkCD1P+GbCZzOIo3IgsNvdfGrvXkrDQWh6sF8y + mXABAWvabYoA/vR0LMXDMPdPq9bfcllgL6qXcKyZvsCV4sXUea6ShofrqAOCvqkx3sc1/8b7DFNb + dOjRePcDMc/yBkr1a4+jb32zXFnXQoekMd30opsviv44wzkwZ7xVSxQydSMK8ItHqMvvNWBjnwV6 + xvKJurogA+7uGw+qbgWpdX+zsA9cL9PoUk443PLHQPwJtD++wlH0fHBOdrszNB8fkZofg4KxM3kB + pcPRoXgcnwMP3xtRJ8fp/ccPY0toG9Cxbi1ZdHkF6HH5bOBbU6WfHq8Wv5N3sLvSI46lu9GI13vT + QT8rt9RwbQMo0LE0SGEHqFkgJ5RzHznrLLoE2BdIXI39Kuwhci4GtcMOAQ2olg2r7BUhpRRasMTN + FcLiXh8wEuRnvjQ4UiEeit1PPwzUB3AH+boP0etxbAdmzl4EjtHbJFoEecPdsUfgIVkxkYtNZ82F + As4/Pxd7+4s2DF++BV8/h25B5jTzl8801zraX3xO+fJqdgm4Fa/D10+YOL+DudP3HTCRsBLCZnLC + 4Qy1OXmhlb5Y+ahK6g7GG3f70z/WkkH/Cg/PZIMv0r1u2I5mtpbF5EqD3SxyytKRgZeiMRohcc6Z + KrGD7r79Fgdt2A0ss8NeQeMS0PjrPy6/evqHF2ZT6eGnLhcNljx16U/ffC7TVYakEABS1oE9MAMo + CB4950m//kM1G6Y6wlA5reiW+yxfdHYNwLe/QLeWdR9Ykivqz5/G293nAqYUyzI8WOSDkXY6WWxn + 5gJk8HEiS7p2c/k+qZp2idoDUlcLyemJzgeweh1ran/9kolo9Rl6142PNM8zc9E6nq4QgCJFoscO + 1bJ/lCM83jsVu7n/al4/f2gVzhFF76MxSEL28cAs9w4Re+8+MOMjFfAcwwj//LAlXlUZ6GFjYzu/ + JJZytB8aqCy5pli73PLpJewKuC/2HfYvwhhOyWZJ9NofPeq0rgKW227M4E6YdxjDgxuyjWAv8P7u + jtQJ4Mea12u5hdY9PJOW34dBkuwqA3ZvidixXJfLQPd22ucm+9jbz3hY1lf5DAXdqImSvDYWK/d+ + 9NvPRFaXTzWeRiOD6J51ZGHr4x8/QYs2+P3tF53C4csvUDSrhawlvwTL1jg+4aV0CTVNfBvm1ugN + LXlmEw2wOFpMx7cCfEq7oFE8BtY8qqUG5/IVYHuZ9yH5hMABIlwW7KR7Eo6t3TjwMM8lRlfHCjma + byMYd9ODbr/+B5fyBEEtFWpUbzt74JtcIdD1HYkolLFm9DRNgMdY3mPffdOGh0m4wAVsTCLcrydr + mQ24A8/t1caOEstNB/XLA35U3//pbYuRd38FTbm1KL7Lu3xGx4H98ceNUM1DfhM+BygeR0gt+bTm + XdfDBKgL03H+rbfmj6obgG/m7ptvTcXOz+oAfeNdIEhYndPtpXCgE1ORuvChDex8u9o/fiVvIQv5 + vHo+IIhHbUSfrXKtiHQ8JX/qQYtd6mqI5R3Uv348RswQqyWa0qv+WoIV9q6ksPg05PUv3+lu9zo2 + ZPCtP/4mAtXpOoi/eveXj9aXj/7osdh3AhzR59KQ8uapsPLblNqb45yPzp0c4OaeC/ir78P5q6e0 + w8xLpG6qTfibL9SF8kDtFbk0DLqFA+Xkykljhg3gbbmHOnxcdOxqrcH5QKwI/vpRhpopFnO7dQBM + +20RtgHBz68P4BxYM1qH7MWXoQ6u8P7uj0iWtzhf1pJUQ4z3BQ7to5NLwcMoIc4VmQbTuAPffCWQ + nt0HqjW5bBZ/JZVQNE8Lmiic+NcvvoIt3vZffC4bJj6LHrJMcCjWlyanRUce8J1s0dfPeIY856EH + v3qexuLWzuX9Ol2gHudP7H/5ns+m+lh/+2OE0Y+VT2Ob2nBQtC3eVsJ9UOZcO/zxp3/6jcWoy6Bm + Vi729SwN+2HCG2iuBAvdTIeH0/29OsPX9XDG2xoE1aKzQwC23SAQnn7U5tsfZXBvSSG1CzIBGsgr + G/z420zvY8jFKC5A9Fm22Pqc54p++42gcAjBm9qdBrotShEc5FT5g0d8Lc8jTPzbFt2eSlPxUDA1 + PT2/RqKDSxnyuZ9LPX16Ib3eUJ8vU1hAKFN8RcO330IfnpxA723ZOHqFE+C47UbYCeYZu+K0rr56 + JdC/+gs7fYKsdvCtAmrhsMf2rD/4KHrnHfz2/4h49IHF02b+9nf5Bgdjojb0F7/+glY41jcRoMmZ + INAekUQg7NOBwd2uh3F0zNF26J4hU4x3oYuu32AXynSYRT+pwWvxVjRcv2DOfnqTtvsZG80wgPmV + HDKYBOSEsaRvrHFf1k/ovsOWuod7NfC1vCbw5xfY7O40km8JDzBkMqYh1Ix8OfGlgF//8Ot3tNYc + OLYD17EZ/vR9zuZZ2Wlp13U0ip4bII1qpq6l2SMYb/GnmrOPdYWFON+IqnyKkOVOisDXj6cZifR8 + +VxEDazHffLH7/vpb/1c3Z7kgmtzkAInsuEdORZaC2WRz5GX9vrfv1MB//mvv/76X78TBm13ub6+ + BwOm6zz9+7+PCvy7vJT/FkX531T+cxKBjGV9/fuf/zqE8Pdn6NrP9L+n7nl9j3//85ek/Tlu8PfU + TeXr/73+r++//ee//g8AAAD//wMANss50OMgAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc9233c9622cd-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:19:16 GMT + Function-Execution-Id: + - yvvlnv17ahsb + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '18' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 23e5ab6873bf9bde0d2d32702adcf101 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 4f7afd2da27d1e26072a09f6de91c9d4 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created"}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file to determine what actions + to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains + the necessary information to determine the next steps.\",\n \"plan\": + \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze + the instructions to determine the next steps\",\n \"criticism\": \"I + need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will start by reading the instructions_1.txt file to determine the next + steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead + the file instructions_2.txt"}, {"role": "user", "content": "Determine which + next command to use, and respond using the format specified above:"}], "temperature": + 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '4429' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA4SSW2vbQBCF3/srhnmWjB3XN72ltKWmFAJtIFAVs16NpU1Ws8ruiNg1/u9lLTsO + NnVe53a+s3u2aArMUFdKdN3YdPJ99nx3+202XhYfW3n4+en5/uvDuv/45cfn0R0m6JaPpOWw0dOu + biyJcYwJak9KqMBsMJ6O+sPpZDRJsHYFWcywbCQd9kaptH7p0v6wP8AE26BKwmyLjXd1IwtxT8QB + s9l4kODp9mt9MJ4kKE6UPZUGN9NdgrpyRlPA7PcWawrHu95ZwgxVCCaIYomUjoU4OtjmDACQo1Su + LSsJOWZwKB4atJZYzPFXRcC0FjAcxLc6YoEJIA48qQKkoretsLjpyVpgZSz1YA6hcq0toA20n4wr + i9gD7epacRHvFA6kMqGXY/KWwZMKjg2XJ5D/CEG0pgwHUEVhYldZMLxyvlZ7XqmURGgmHZ/Ib/ay + JORrwx3Z3mMQai44Gqu4Q0jh/pqP994jzzmFW1Z285cu5q4RnQFpb8RoE+qOag5MtAcgDq2nzu0c + VA0rZ617MVxeyimtW6+E7AYiPq1WRhtisZtz/6Eh9XSUejHWXv/Nd1ORY3d9lxxjeNi+SCGrmjrh + V6UzNuXL8/B2jTh7Wr9EOULsQQ48Oe9wl+DKsAnVoosfZhjENZig4YLWmPV3f3Yf/gEAAP//AwDn + zGd0PAQAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc928d9db1254-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:19:36 GMT + Function-Execution-Id: + - pbmenv06a5yg + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '19200' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - bfb649068e555d640f6ad40b261616c9 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '85989' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.674s + X-Request-Id: + - 0f8563fa8b875d2635d106aebaf6c721 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Read the file + instructions_3.txt\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '273' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0yOQWsCMRSE7/0VYc7ZZZddq+ZqoUKhl57aWiRmnxrN5m2TJxVk/3sRWtvrMPPN + d4HvYOD2Vlw/hGL6NP8M9qVvl4vDcnd8Wz6/so9t8/hA/gsavDmQk59F6bgfAonnCA2XyAp1MPX9 + bFI1s+l0rtFzRwEGu0GKppwUckobLqqmqqFxynZHMBcMiftB1sJHihmmrTX+0Le4bjSExYZbMmlH + Dbdn7yjDvF/QU/5lJg4EA5uzz2KjXA05CsWrvY3Kxyzp5K4PSlglsp2yausDqWh76tQK/yp53ZRy + lhVKjBpbH33erxPZzBEGWXiAho8dnWGq8WO8+wYAAP//AwC0qgQXWQEAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc9b398c12c5c-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:19:41 GMT + Function-Execution-Id: + - yvvlzurg1bsa + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '1797' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 87a5b0baa518b220c789956026d896ea;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '89461' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 359ms + X-Request-Id: + - 6ef56affce707bafde194ae7d76813dc + status: + code: 200 + message: OK +- request: + body: '{"input": ["Read the file instructions_3.txt"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '111' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaSw+zurKm5/tXLK0pvRUggM2acQvhahPItdVqASEESEK42ICPzn9vke/odPck + A2KFqFyuet63/B//+uuvv9usLvLx73/++vtVDePf/2N9dk/H9O9//vqf//rrr7/++o/f5/+3snhn + xf1efcrf8t+X1edezH//8xf/30/+76J//vp7jhadBheQmvNGyEW4TY8vusvLpScB4yaY3u5vuvNq + 6E/+436Gt3ra0d3uZrF5Ixx5qL/GkFrlaQHjcdwZMLl5DdY7RzDnLcAtvKqGj7V+n/as4/o3kHTr + gQ/ibePT0rpxsJjAA/UqN4MxFegCbjF1qenCrB816dlBVxVavI/ExV+ubijKp+F0pLvZOPYMyTsO + LHbOIYEjMZhfz28Lr+dYpI55gslydt0zNBa3xNpRG81xIJGnUhYhqm2/z3oJJWuBF1esqR75AiPP + 4SVB5dGecLHVn/6YR6MH78ltwK56mZMZzN4RBMwR8D4Qvz6zDhdFGZvhglS77/rZSvpSYe2rw4F5 + u/qvnHNL5dkJDTXHl5wMya2MoKTbD7Qpug+bjreuBOFN8ugaL5/2pxTCz2Pao+rrSj07vIkEwO6S + YNe9u3VnRMcCPJjxoO41eWQs6qQrhLFY4VCPrIzuTM2Cr6yuMeoeB39qmGXAzjIg1oZKMtmX+x4B + HN0ITfGL9iPJZAvIYRlSI/hYNZ9jEgCNQEp46j+yOYp3OThtyYYaReKDcU9qW2WxLBDlILNkqt3Z + g96Ga/H+tO981g+aBvP74OEHATP4em5FVC0EGIFGj/v25p8gTN2ioO5o7zOx3tcx/OWDr12PTHDJ + p4FpV1V0Lz0k1p7uUwnAYLVkWlCTsa9yeoP94xBSv9TdWnDdMle/MZSQDMP6935DPfaxg/e29srm + 04gjOLrHgRbqtmF09lMH/PLTKW+7nt1KaMNqH/tYv217k+mHmwPv3Kxgm5NBTxSr62DvsRtGwkkF + 8+SmBsC5zhHerGjdHS5XB1wEfB6vBdeaLEXpAuJhEKj/yiljgT9a8EYsRiTl3IBpjS9MEzZj9LVy + RtZ8BnJYhVS/bX1zTmU5BrHfn/DOqDufBVXqKH0mnlB5yJ4Jk5ONA+22PqIvgB6j+ctugNd8KqqH + b92cw6aKVLJbMrw7YqVfELxWsHtZOcXTmWZsurNC0a1+JPAYaAm/BF8LFpgXcXA6k35mYRVvrnYU + E+kXn+g9dPDG7S7YT9+mKSpaIYEPZZhsrPxWM135TrAUPJOIY2EmIwKHBhpjadCbYwTZ0JRtAXfa + eCFwIEa2/XLPM7x0kokvyWD2i2efJMiJpoi2RTVl37NjXOE5THms37e8v/CvqFJTpbaxbjxIUsla + 3sHIFCPqkF3NWKnZCOb1VcNFVK2nM7djmKI9IB9PI8ksAN+B/Eu/YX25hT5/rZwJ0gWLCNJkZKRO + Ea9IO3pF030wEtIIrgTK73IlDBxQTWSrvMLDC0LsHojeL5O9Q8qbIx8kyElQb5kkTbAoFYCNrhnA + YqrMhlxPamzIvdMvNFdi2E35nhr9RjeXi+u/4Zc7VtjrxaUehAi84SZfPoTjfVwvLpOMP/uxp5ab + zc+beYUmaTocnOcKMGfqA5DwJcZooyfmW5PbBkb19kq9KjOzaRbkAWRv7oBD1MOelCfxDVgMBGo6 + S5ONX7y3AAH3KwG5XtaLGRVEMd6zgHf0Q8yBCRyCVzuOqZu5EZvCABrgYEkSxi+c19Pue/Ygaz8d + 2YJTlywJ0QeInyNPbU7O6uUmDjkc9tghIidnPe0HxwC3UKMU49r0GaqKDqz7Tw97ha+J6iiKEtTe + AW1AEDNyzMqrKiZvB8HTmdTTPtPeoHnseawf84YxsHs2agZehMynbeVPZjy8wZl3CBnikrFx0MAE + j6cmoadsd/L7/iNWsK6pgfebU5IMoXK9wvb9dKm5v9hAeBrnI1xUtEWq4AXm4tl3aRsE2YPuvkZV + f4XDUkL5si2J6Aqv+rvTPQQfl46nmiY72bzfRQhK8HEgcNu8wGRrYQXGLg0obnYkGU9zZsDRPTtk + cc5DzdzpVcBUUEK8fwxFP6SScobxMN5QJfdtvYgwOMtzNOn0fr1k5gzMkZO33cWlxoOU5jSMtwBI + mllj3ZvsjDaPQwmjTWhgW5Hjnk13UMiGWr5xci6qemHehYAq5zQcpHPPxvyTBnCtl1ib1SJhfLWD + ED8pT4Q1XoMZDw14PUMVI39vJPOlmAd1Sg5n7Dfxs56eV3sALMQZYUm7Z6LPYAlLkh2QyonPbPo0 + C4Qbn/YUHZnGhF3yWuB5zCDidsPLfF8eUgshkwx6tNTQX6oiOkPhkDc0JMc5odMd5ABfbjtsuLML + 5jBUIAwksSOcdviwmTW35ldvkLyf7/6UVfsKtL6nYO2rmsmYy8IE3W/g03O/iGDIVeMNbwZ54eB2 + vtSDbFSlau/vPNXYNa6n+eGlMPwqBKlneOxZun214EOXHr1OHWFsqfRCreUsQ6q24bIRhWrw618I + PHMbLB5bIrh9DRHdlfOzbnFNRWh8xBCdSXvoh9/vF7tqQJNx3NXTeW/mUFOOKY7H9FOTTT0FKg7M + FFtvhUtmJY0mkD68LbWI3voTH8lnuJ2MDeo49ZLRZ+bG4NZeOeoZC6kXQ51EmAc9wqY0BP6w1NFV + PYJ4QBvpEyXz2xN5GFdpT3cxz/vz7/+zzTlDnLq12OTO8Ap/PIWA3pnsHtcGzE7yCXvJ8VMvL1+O + YXJnd8Itk2suxkevwLoeafW+rYcmP3O/9YgvlCBhVWaWkLNURAMlLftpejiefHxId3zPwrofdJQf + AdgWCVrc+cvojwcvnfL58YrJtu8C/eGx/WPg+vFhHHioNa1OM5lzGE2Oex5ybzMm0nmMzLnmNaKG + N8UjQBhvbJbNZw69LmI4R2XHOutY5Su/Gut5RNl0mo42cOWA0tNsHOtpCZ4WXPeXAL72+3lPegvK + fLzH+/vVMIkADQvE2Vem+xYRsMBFj0AhNhPNN4LNlu231yB4pwwbS1OwwTpLZ5BfjRPdXUu3XqAj + tXDJ/Qua9ZPmL0eLHeFarzBeQMoWKRYgZHL3Jkr9UurJd4gGMg1BchC7lz+2L1mBa7ywC2DCaMCr + gzJOtkH3trZLWIgnEa71khoGsE3eiEsbcmn/obZQCMkcNKUGnkApCfAfn+zbwm+gVFB10Ni0uT99 + QGuA+nq6YH/ls3laBgXaTNnQ335MYDJTyBIuJD++WjDiUtgOAYcUJ+R8NvPdBKXTCPF+a2UZc2+i + p5pNVCIZwATQaznz8OmyEs2U17P3feMUMDELH2vG8dXT72cx1NIZJHzeNef+93vKUwx6bKc2rteO + fobmVRGILNhyQl6+HIFFm0e8Z1acLOaxROruUww44NJvv4RolsA77GokKHeFUYZbD17QI0dbR9R8 + gRPSRrbv7pc6pbOpafO4VQpuCx2v/TFZ4gR1SgHCLw40fqhXvpeg5sZnJNh14tPKKnIgJ4GJj+lX + TUa16GOZ5s8cceGw9df+swD/aR6o2/clWzymRIoDp5x8t/DJpvf2GEM6NleaXZUNoK9AQnBy4Aeb + cBDMUZNqSVl5mdoytbI1fzr4FFFPzUs7sUHu1RSiU/Kkgd9F/hTW/RlG1/tItg+16adSP3lgLxo1 + deu0Zf3aDyAjyQPRbfBly0EreYi01qLmySTZzAnpG1q3zZ0GK5+Jm1CTgOigO7ak7ZGNTBQc1X8P + FY75qM/GNHh4IK9TjQhdMIE1/gH43hODHKm/ydhRJxXMYGdj5IkwmT/PtwOsXrvhfNvsAJ+9bwY8 + RFGNL56Gslb60BS8L2qMzYqavXD/5AWM1eVENp6zA9RsvQHkrSGTJU0qRl57OkFfHG2q9deyHg/n + A4KpOYfYcfUZMKsNINSf9pHizd1j88lxPBCi6oEdcSeAKXsfNLj2CwRf0qeehvGAoPU6OUS+Jo+E + Pq0cQVVpH3jvaShZ2vckgs1npxD6Ko1+uquBCG93M6HhLgqzQQfTAIIx32Djnah/+ENxsgFihPfH + bNbwwYCbz14hW9Pz+snNdpb6UE8htoNeS/jDKY5U+SKUqAGjnVFFP4lAHp8n6oS6AubvCzrKlztX + 2Hg3JhC+sC4gVd8QbaeHzcTgmSFALPqgeBu4gFXjx4LbF4mwvfa/KZVgA87325UmKOzqQfiULdwq + lxHVKx9Mb6RflffXWCh6Wh1bPO/bwUVjI5o2ilGLcHEjsL6PtDz49NTi+BjOu+sZKfolzRZZO7YA + 6rOB3S18gu/DuPGKmDQO3vncLfvpcVB47gt7TmGZQtCUhmoERUWdQ+wyJiZSCj6eFaPJpz2bxE8l + KSUtQsR6renHXXe3oeLIDdZPb2bSG4oq9VmWInXE3QmwU/58wwg5HC2OlcLGY/osYKo8bRp4pQ62 + 6XZsAT7QCBu7uWQDSRfnD29LFTebbD+VUEXv4/1XD3p6zmsRsm9r4Pz+sXsxFd8D3IzinobhE2Xz + o2+GH8/QlUfBJHzKTl39D6wThzOZdXqmAMdTQFE4XMwlkLxSSafgSlha+PXUbaZIwct8RMu7qcGg + +toCS+4m4PU8JrV+OHi//EeSvzUzVs1TA/Lgi6j/3jb+koYJD2SuOeBLb5XZ3NzvisKdNYJtzZ2y + pTgtNkwFKaTGFFUJHU+XAm4G5pNfPWTJ9XYE18/5jP3NDfuzszsOkHi3Iw3f5pQxhSxI1b0jR/1n + /gbsHo8RxJdsR+bwBHz65b5nuD12EzWHzPC3S+UW4KFzGfWoCGpSbAII1/NMrfR7X/UGtmCHLh11 + 3UDpR1h8DWjuBZl6Wjj48+qPgP4TaNTGUQVWfyRWsU4GjMikmUuijccfH6z6V0+EFx8iqEcaT90T + 6XrS7F8l7Nwh/KOXWDVLDbyqmk8Pif7JBjo+IFj7EfaEqvUX+yoVUKzfA/YhX/fLa/9ZwKuKTzSo + jQAsrdp6QKURT93wvtRTxHUKKNHVRYNXPhkLZT2HihX1ZFkajvXGIbvCU6wZNHUKy5+tpC4Vt/Ux + GRbX6afTXSrhrU25Vf/U5vBpFAjOpDgid9sDQNDri2A7SzwBe0QT+lEONmwiL1z772zSEEsi0MXJ + xbddMPeM215zwJfXkh7zU8n+6K32XL6Qn75rc75/jvkvXzF+lVU/F32Vq0frecF/+r3UMwfsG9XE + ubQJkoYPxgb4b1JhTUFiRvRKXaCy+d6xeS6M/rPwLw22eZAiYeWZHu7eFrhVdPzxZbZ19tFZvTwq + SIPy/swm2zrEcPVf1ngOYOabTIQuJ2k4P88Gm388o96abI2/WYuzlwTyyr8Uj6W6nveTBcMjkgnn + 741su7/JLYi+1RcpMtPM6f6+l9DCLaHOZVtklGMBgQknqtTU+7Sfniuj4cMYYUtTLX9SfWcBf3go + h13SPcxogZyoi4QdzFcyp0Euwdo5M6QM+yd4XQrAgWKIdDQrHTEHpd+2kPeITd3I4JIf3/z0xeq3 + NdkoHvgJZDtlxoj3cc8Y/4nB2bRtAj+GwJiIiQSm8FMSnouBOQT101Z50ZLRNj7ghAf2VMLpeI6x + teizOUetUsHjQ7nTP/ms5qcUpkfepXp4yvztygtgUYMtEudiSL5wthoowfuBrPHxt2kpnmHwYYTq + ptLXLDq6FnQ5RSOCQkpAY70zYB50HfbIEGbbaynzUFjKFoer/llaueig80wXcqbLhg3f+NaBU6W9 + sa9yKZilTXKFOsiMlU+ajNhHApWIogI7YK7MlWRzpXvZOUVUuWRUvjotsB59jNRr+1z56VzA11np + iGoKGCzKBSHIam6mtivs+mXUeQjjvZHTnXg/sG4jZgtwLraJ9/wDs0VdwgXAyz3DoZ1m9aCXGwn0 + 0R2H4O4j9vn1v+L9Dmho9M9+Ifo2gOfG87Bd2Nd+tknLw/Zdu2SxznW/fCK3Asv5UdGdQjTA07km + v/6ODWC/2FJNTALaHTCixrDvp0fCFQDsTgk5gvGdLcTWCFjPH/35Q6t+W+DBUiRqZPeDrxjRMYct + DCu86z+7lbdL7df/qb3IWs0PltPA9qlE2HtnQzZ0XzOAZbPfYzOTHTBHcZiDGewSJDYQJrPQnG0o + s9Bf92NmrM7CCa68i3W46/uvAWUJnobLkbqCfcvGp1EcQbt7fKl7uGc9Lc6zBimLEbWov0mGLi6c + n19OFE7dJjR/oQZGyONoGF20P/UE3IXSoemqB0e1qGOgFJ8b/un1RRMuFjDJuyPjGfI9MT5uCZ4i + xnTPrGX1D2QCc+NcYqv3x4zpNU9AVAtXqqtly1Y/MofSULhrvzKyPzy8bJ9vuodTBJbueFugaQY5 + NgVxziY6Xjg4eyamJp/xZjcczxGUY7+n1neSzYV7VAE8wYtEV7/fX7x7iMDdtVXs7HQHsND/nH/6 + nWyp5SaTbHSl4nsHQL3U8xPBL1MD3IXKQcxZrGSYnMQGi87v6Hkysc/A7vsGMRxVMqDSY1twxSlA + Uz/R/evKr/ORzILHPnKwFX/9bAoCeYE2F450RwIZrH4OBMMgP8n++zX9LeM/EZzxUOJkfE3JNJwb + D85inuJ7Ze4T/guaCgT3PKPZK8dsxs17gtJ7krBLIqEnZ2vDw63VBTSUPc5n9C4juNYX7DvfExhU + WzVkspsy6j8mJZne5cBB/Mm+BPLknvFTyrXKbuEv2H1tjrWwqeQINC/+jZE4AZ+AUS1h1y0H1DKc + mT/eh5dTgKi9tGnPPnWjQXb92NR7atSkr0cy/fz09TyVgFzFKoBawfk0vC04+1OPDunnQO1LdGRD + xHUS7B7pm4bHy9dcDol1hWBeCqIOMm/+mSf9/Oq5r91s+MaHVln9CxzwmzqbvYWdYVT4FZokdvOX + 7q0eQXgVFmq83Hc93CrfgPsj90D1kFX+cnsInmrK3Amvfoc/V/dbCjW+fRG57zVGTgQhWPTh7r/8 + kHoWLGio1RvbODLYMKViB3kwedRb/ZhO+o4RkIbcpXo+7pig4ZsGNb53SbwrFfCyuliExnk+IH6b + XxIy6hCCjX5V8ZXsajDtzkoDzlwu/ZnX/PwctTjVERG+hlEzx7RFEJru7TfPyparWCGw8hOSvPxt + EtdOWvAdD2+0Xf3ERa/USV7nBXTXBRGbaqZP6vV8SJG41j92UM9I/ekz/5dPzi4foI83E13nN+bw + 0FMFHidYkSb+9pmAYz8AODc5UuYH4rOEOi28h1RE4hU+s0H1nQnWxreihiKIYHxLGYL3Y27h0577 + ZEuVWm/gbPc+WaTomM2nOdNgp0wCalZ9uXDioYITf0kRiE+VP+3HxlG/Un/ApmlvAZmfTgSqHGoU + v0q/FhPiEniu9wtREaz6dZ6CoG2IALXxuDeZe+M86A/phfBc/fQpuOIr2JdHD2faVQWvm/CqQBxf + 9/TSIgRY/r3aEMB9gLbbk56sfm4Ano+HTPiE3eqFE28l9DawxenlONUDsUIbxgO9UYvlKBnvnL/A + z8QH1IWh6W/V/HSF5ZXm1PlgzRScXJ/A437eYe162JmsER0eiKESo2WtdzNM75Hc97xM8bc89tvv + IeCg0hwY/dVzNhpMAfXGHrBjvo2Myh0pIGzLC37stmcwaS/9CutgM2A7i+7szzx0rXcIeFZnTmbc + HSEjMfjNE+u2Pz8VUH/ThGxeOO9nq0t5eIInCWuuV2Zz31nXX3yRcCy1mhyJyYHr9qz8mX/+4e11 + 3kL3SNtmcw8p90cfaW2F/T/+4VofaWZbT3N5mvfox7cUS58poxuGIPzyxhXv13kPQ3IIYXp7GKiU + LcffrvpJHet+g/E8Dz2p0qCB2Xxo1v5PQduUZa4m9SMhYmFL9dSwwIDC8+GgWdoZPb16wQKb0ptX + PfD9w2fKb74ZODzXD6vTDn2sTmijGE1P3cKV1LAJ76jbtd+kHgYjBoZ/e1ONQ5tk2mdrf87ROiaK + F3/5yKkDhkC5/fwR8Mefkw57k+qOb/78wRgcJ66ie0fUTIE1t7fSpAUgFNemKaRR2UGtfn3xXqdi + 8mf+svpL2DvSlzlrUq1sV78CcRs98dl5Jy4gdASEjQfRfIZkk8CpVSkNEuCYlCufHtxUd50if98n + c7A1G+j0Y0mqs+Gx6d59Y7jqMyT0540/KcYwgcel5Ymw+tvzTjeQ+vfvVsB//uuvv/7X74bBu70X + r/ViwFjM47//+6rAv9N7+m+eF/9NxT83EciQlsXf//zXJYS/v337/o7/e2yb4jP8/c9f4M9tg7/H + dkxf/8/jf63v+s9//R8AAAD//wMAqjA5m+EgAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc9c1fd9513d1-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:19:41 GMT + Function-Execution-Id: + - pbme8b7quow8 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '22' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - cc893c79eb41c92650396b5ee03be018 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 6b8a366fd1c0a7253e3a77e7fe91d0dd + status: + code: 200 + message: OK +- request: + body: '{"input": "an instruction to read a file named \"instructions_3.txt\".", + "model": "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '136' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6XQ+ySrPl/fsrdvYt80ZEpYt9x5fIl90CijqZTABRAREFuoE+Of/9BJ/JmZkb + L5AEqOpatdaq+o9//fXX301a5ln/9z9//f0quv7v/zFfuyV98vc/f/3Pf/31119//cfv9/+7M6/T + /HYr3o/f7b8/i/ctH//+5y/xv6/835v++evv52N1Y6aULngfEKWAS0GPVIyNoOTLIRchxdrIdH3a + tVL2qgWIjeON+dqClvydeNk6zvcF0xV6abnbigXoS1fHQFQtGrv1zgRb4G9CDK1IpxXa66gyVi3Z + XQtcjli7CNCtq4DZlvZB0zsXY6S6d4P5XuC0g2iWnZx0kBNj+N68SQtGFZ2+9ZW5r6uKpOHxkmTR + tFWyD18EDecdOiIJJy7br9+6sSw6jAE9lyXxhT02vuXxKSlVOLrMu62bcii7Xgfm6B/mv3zK6bN9 + X8B3yw3ZjR/bm0JLruGxLEs8vd4LYxBeKpa37CIQEn27lMM96FBg1gyfcHFNp+LCZfT4fm9kf8b7 + aFLoFdDjYr3plGVVyQSr09E5wHu8cepLND6kJEO4B4dK3eR5X+RdB2g1yAnePsV0CteBCdMlDYnR + 2arBTeEzIeKlW+Y+BiMVvWNjQ1xdB6Ll0QXx5jReIBf1L3Hd2zLtX/0mh5N65mTXWBWfNMrXAPz0 + xRwzL52kSB7g9/zFMXKN1Vj7R5RU+z3beuIb8dHRMlj3k8Z2U7nnzJMMWbmzuKRD8ymN8X5+5xB/ + ii/ZY2nt8V07Juj3/lnOXiVtfUNQEu52WLmCwL+/+CgBbph64ULKZQhyyINcxGG/xeXSG00fnuvH + nlmRjY1eO7w7eOkjMD0/DN60bq4PeWnRhm0Z2vNlIlamcjITHy+rW96OhTuGiqOdcoI3Z6EdHWcD + UFEzYPe3badDcx8BjdjZEK8xnXaiPrHgFUsnYi+SVTTsZFOFVZHbeNP3eco/2mmC16K+kD2rmceH + 4VKj8oAL5m1HYgz3vbSG4TnesbwZi3JqPkYHYrP6YqXEGz58d/4Bzk2OsOAcOm9CkmBCnvhbclO1 + K+dlxyXQ2PvJ/IO4N8ZDU2IIP2xPPCUevekxfip0lJ0XLm7xN+IqCA9IcnVBrI/BI2auWYVI8I6Y + fXk9jHHEga1QS1sQK7kr3gTatoDs/lwzcoy+3qjadoaMNCYUdsXIxz6WbXTR8AIrZ9yng9UW9aII + DgG9wPGWfrMXFcA8OTXR2NErJe+2keVH2gkUHVZLPrjuYVD0fXZnZuC0/LufDg3ASabMXy4vvFsd + 1wmcFJtQvvUbjy/4OgdEiUfc1/WBBqSe1/BtpwPefLc7Y/pUmwady8Egp5vF2kFyn7oib3Z3PNlm + gar7XpKhfN8ObO/u5XKKXw0F12/PZFuiZzodSE7BMh8tMyyr50NafzKob8aR0moBaPQv8QPsSdTI + 7r4N+AjHswjyRfcJoZh5NNbb7+bh8zudz1M5jOajAhQLN/IHn+SupohBO2FoNJUvg0mu4OPFX6Iv + 5A6NZ8PNQVjLQPb5C1ImOmYN5ES+dCz0oaQI1iGE/aki28V3Mij9yhaQT2hg4RhPvK+vJwkmnWxp + 2GSjN4lZvIZ1mMt4PO8nrz8pewsVqzwnqhU3ZT+1RxXi3tOYlwk6+tUHfNnlTSx4knQ0bKNGdStw + pltO3E6acotlcF81c76Ljnef62qCtDlciHsNIz68yCsED/SM7a2XEY3lNaSw4zdK1KtYlQO3lxME + +1hl5nM6cY7ffYXIe3xQFl5ufHzd2BoqagXMOkmLtqP68ojYGWy27ZYRmo7ebgKqsCcj35VqTGn7 + ceX7+8OpLMHQ9vX1JsLu2jp047uFMa4KpMuqtMqJN8ZVOfavqFLG612j0+G0agd/LHW4rlGER39w + jPGrpxdw2spkMVoH7cc0NgU8jvmBuJfdCzFz/a5A+Cg3Zsz4tzwGzQC6Zq0o65KyZa8jttHSMAOW + zfnl4XHpgykHIVPjrc/7UjrVwJkesS3/vtrPOShl9BFNyub+4o3o4H7lV5J3bH9Knvzt2ascqGUs + 6Opa0HKIlGYCgVlnou77VUmnpV+DH9gO2V/1jTEKdD0BrC4GC/L2WQ7n+Dih56embO9hlXPPXuRy + b9zPxH3v/XRMBZ7B51mssTTne8iNdwErb7Um/qYayvH5FCQUg/kgPlGf0Xt7Tpo/+dwi7ViOIW0e + 8hl/41//Mab+UXRwl8kHI8i8iJvCc1CyS+ASTIRbNH3igw+768fBqDGdUhTfzQDZ2//gZfKp01Fn + IUVdrabsRHd6JA3GVwASvCJi7y9rRCenOSBqZRoLtcfG6yAZJLjVtoyVsi7KQVufGvRQ/IiYB2J5 + 0xOtAfpun2B+1OpyuBifA3TFxSREqqt0PD1cXw4TTom9cvR2fE9WAzi9RCzd24L3FffLHJRbdSAz + PynH6qQ2Sia5NlNX7FOyW7vPwYpyl+DUq1q+azcXuSmqNxYOb2TM8c2V7mwCMUJLjppkkwGsuUCw + dD0Sj0qD0qAl3xqMXKV9NO7rhQA9cjd0+bHA6Hayr0NMui0eDsWn/eIuzwBOa0oy92zw8bq7N3AQ + kichisKjsZRuFTJershUaVmiYYmRKRedF9NIPj54ZvmrGmr3llP0fCw4z9i5gAUIO6KFkZ8OqMwA + AlW44POJx7zbgN5AVmwZs0RH9oYDUh7II41GDE/eRK/65A2wM3Jgqs8DPvnSt0Ots/fJXB/R5Dlx + CGa122Lh0yQR3UyNjEYe1LgX127Em9MmgbxhBS71c2zwrb3xUWTtGqrEx3c71eNbRPp6uJLD04tK + RtdiB9Wz+xBcq4bB/ciSkCz4VyzxRxbx+L6jf/DD/tqEs2+Cq8063gXM+6yXBuPC0gZq5RreJHHB + Jywv5F9+mRpkLPr1P0jiISB5Q8WS1pbxQLR1WmZvVqLxwSOJ0ca1M3bdCk9jyl41wEa/dUzNb4XH + 78XnCJd9/caLAuttJ+ieLaenrqDCku3SYXk7FmjdfHYs6qEt2cV2bfT02ICXbTikDZezEAVO9Gbe + 3s4NTk+rBqbM+NCqNKuUsQfR5V0+GBhhp4p42SERtppgUHHm39OXOTraxfqEN96zSlux3uXwBLfC + 08yPaK/0tTzzL7aPj++y115ejM7XMmNWr2yMwRBCkEvKBObEb88QvdKp0YyvzKe5w4e6yS2kbSSb + wpeF3nS8lxfA6tYn1t1O2nGRnFxwFctj5vWpGQO47xBer9PEfCVqUn5WZAoGpAWe/F5Nl9dv1sFL + DAJCwHkjHpbxV0l106OLeli0tHifjrAVjjcqf8E0+A8PRaMXiF22ddvZy1FQtMuRk3uXGO2YE9UH + pgYXgsWlVvJ2l1qA7/qXjg46G0y98wakY30hmpRMEY1PdxeS1aoiBoyux5OsWaM5vsREphJ1wqGq + Ye5/VF4cX2gcls1Bzpu+YK5TsnKY8Qcl3s0hekCUaEjrZw61tNrgcmzLiErb4AhITK8/vhz1bi2K + EOekIG7iX8speV4H5IGazfmhM5/cWWjzfl/YVhj8aAymqYJz4O+Jcz1BOe7qDYVXLJ5YvEybtlso + Gx0JGkloT9OnMb71w0H+5dPj7sGbStXC0JbayParOi3751OSQEpXFrNf9zCiyfM6QdRFS0yJoKSd + 1C4FeYOXR4YFFTyaMITh5T33ZK/pD2P0imIAWLCQlmr5bXmd3wpww+WLbRXJaiW2W+qglFNOjE9E + jX6xezbK6tNJJPCHj9f3el6gxU5KsXg/de0QWD78zj8t23uRDu9TUSvZqGFiLnqZz/xFluZ+QfL5 + fQbtbFMk4YtLrqiReBes2hyFubQjW7rT09UxkQuY9SQeUK6lvFipJmSamtFPxy8tPVJfhMvl3lPw + gk/JygWLkbzZ3onxqqT0V2+oyYEwX0SRMRpxr8qa7tbEOikPb4pF14ZZv1HJ1N+z/nvp4O6EO+XN + tYlYfrkK4NR3l/gzPk/NqnfRRuEvOi1kHw0qvCk4EToyVX8PvA+9MoP9wUrwRjVOxqwnVbQA2P3w + LOULPmTA0vrO3HD5LWt9YxwU69utie0MWrns7EOndOJzTfy5Hrv1iA5yoR8npom1hfgpfmQy3JyM + mK9n305JOMSox0POtFg3jeWsv9Ccf7ary2c6JgFTwTVje8bvNh1hK13AOT9bFrV3PRpCTZbl9kuf + NDS6fdTlRfJAh+03Z/45iI1pfR0shSzyAxa6Wxfxjr5itFo3Jyy9OjOiw+IiwfLNEQ28/av9o3/b + zVclhnxUeR/vsgIVAvPxMIpKyzrDUdEtlz3MHpFUDqXzFkD/SDJTaxpzrtKTBe932NOVEWvGxIvA + RK+ApVTAnKWUL1IBNnh1xNKsB6czW1uAYrixneb6iP/wdDoOiJ1iGZfNfS/I6ORsTabl0RqNeNwd + ZXYWbOKlhtS2x9XyApPyEPBQnt98murSVv70PzOFlhmDGit7O/2QX/3MeKzCL94Oa9y0E6OtDV9D + 3bNw/669EXlDreyaqiG+KarlSheTC1qgW0VHdwmcH/qvjCx/JeP15fXwupnPbYL9Uf2Dt5yUUQFQ + iXtyXvle2tJdjtGtvzaUqUvqffjl8YCTmAjMf95W3lgRnKH2nl6Ji/29x3dyKEHuhTXxL17mcYk4 + MljPxRvTwzs1hpdmSMiAa8HsEIHBnw76yva72PzRy5P2CDOQnOhA35ez2kpOnetAL68lc+b+M1V9 + 0sBgxiXbBpbhDdf9+gtHFt6ZnmVmK/br1xoN5rFkrpCoBg+u5ADKrT6wGU/TP/Ux83NGPq+gndaX + nQD9bksZOWtpyi2hWyP3Y0zMthAph/PmKgEbh54Q9PgaL99RLDkKkoEqxVE0Zv4XAh4Klflhc2n5 + DeuVPAydgBfWJUjHOF3bIDDzzALtW6RsceAXJLS5iseFsmynKt9gmAK7wqhMPcT3ahqjOHl7bNY/ + qNeThYU8CRV0g5qYj62ghUDlrUs8yNponNpMle3jwsCT5cRld1zVFYRk3bDAQSuvyoZBQsX1/cBC + WLy9aXHqws3M75n+iWNOhfXnCEKqCXSTHpqWpnZngTRpR2aFuIlmvlL89CbbpbFsdKOYg+zsmUV+ + +RiPVRbKPbI37MZONZ/xSwUi0QVutrvK+Ag581HN3i6Z9QoajVZtlEnfb8l7I2eo+wBIiAanHTnb + T4T6T6qZ8ExaQnZaevJGp7VkqOrrkzj54pEONWw62DyOX7pSPscf3zii00UtCc6o7S3fE/7Cgx5E + dpsUweutyyGExWq5Z0bgi+2ESVpDwXhP8HUTG9yTPBmutvwkeLQcLrb65MMZNzELcCW29I0WPmpU + dWS7p2yg5ZN4R7RdvnyiBhmJqJjla6gruqXN9Nga3Su3KNiXd8KcOibptN3gRJ7xi9h2zr2mmV45 + fPcoZH6DrJZX6BSC6YYPKl9DzkfTGB+K9pU/eOW9l6i/mYMEl8utx2W56w2+21sXuLRayayDLhrD + oT9acCNCh1cbOeOTuF9mwG3JIlut2Rmf+r0IEV1gc+bTI5+0YKPCZhHadPF5BeV41O4YLtnDYm7E + DtHKjywR0eyLZz/qU44/vfrzL539afA+3XpnwY2/JFzP/UT8gCgBXfgm213Oj7Iv32BvZn+AhubJ + 85Zq/JGR+0pTRuphUU45fl4gnwQHawk4fDoGmgDtplHJJf5yNMz6HBJ0R5j3+gvR1JdcCKIC0+F7 + w2VXe6m/mvXhzz9EXU0vB1Au9/jnxxksXQYU3komE6IusTGU17FAv3o3qu+h/abpuZJnvCZqGC+N + T3J+YnhGyROjY92X3XU/fJWfH2BKxSMdVtI2RrN/x7C/KDnL2Pkhj0LdE3xZHFJ6C3kGmdi+ME/Y + ineb67ZC5yl40HaOX78quApJ8Dkz85vylG6/FUDoHwLiaKey5cvn8gK25+aYzX4Yz52hAO8kEean + Mm/H8ek3yMiFmmi7vOd8M+kWpLrlMVsPJ2/ixdVCc/8geFJZO3XaisKh8Y9UeTyasvnxg/n8MGy+ + cbtpeqgQlTJOyDZvW2rV4VpRjuKCWZmjGavTy1lDsx5E4j3qxOt00agAi+6ZbAOr9AblkxxkbXIu + dKr6TcRPcZND4VkGMTb6FPGfHqq2MZ79zrxt8mhj/vw09vOfupvz7FB0Gy7sfGwaxK7smCDyORjM + 6LRF2ev+rYHsXq7p5SjZEQ9W00HBcXBlhvGp2vat2A/A6s5nu5KS6M/5ifmZEI8ojHOJaPLv/FA0 + mJLBiu2zRtuLe6Cjt3+Vw1PahIBt6U/+vcnr0hgVXNoxg3xGYzqUU4yAdI+5n1QlS7JGBpPrFcO7 + 3m7Hu4N1SNnTInqUBu0Q9mcMZz2kzBkzyeuN1m6giVqbabO/xs206tDsB7LZX/O4ekdfdBylmOj1 + pi/bd+LlMBqhSHB/Do2fPyJfHOFAp0G0ouVc/5uieSwwPy1Dg7Ggr+S3kzJGztfKo+bjVsld0ke0 + KUaVi5Gvh+AHrsP08Omh4XNdDfBMPgQv9tIDdfZyI8C0kd9se2Vqu2x6sQI5/ZZ0/LbUm+hXNsFb + NJzE1yMzBjZoE3RE3JPbM8GRSMVIRGrAJjb7IcZoZ332w1tiRqeH9/HzQwdNgiSKvpOMeE3AQk2y + kQh5SRvev1zxgnaPzZouyutQDns0JdDYg85cSf8i0VfNB5rnIWR/X7l8OfsdSMgeT2Js4GL06ZCo + kFqjQZ/BtS65M1gVrAblRRUNXrzPn6hDquGffvOhkhcr24Tr+SowbaGcWlaSASASli3Tz+4nZeFR + 8SGPvY5pG2JGP76A1quqZtrn8TD66DSJoC1HNvuTPp9+86bwpZ+o8IjvaTX7ySi/iRnBXqam06or + a4TMy/sP3534ID9+9cn2u7tj/PQIHAt5hfMiaNNpsdMlparT5x+/lmvrKocVhB2d+WrZLdXgq/z8 + AWzHdTRUTQiwfiZX8tNz3VVhOgTfCei0KlblVxqWDWiBuWVq8zEMyXIOOkplEZMdWtpozJ+IgjA2 + mNgtoKgLD8cjmJ0Yk9tkXFKe2tsDJPEUEG/F9+3oX/ICjJicqHDPrlHvX+IC4tc6Yvr3AO2sV0XY + xerEtkquoP6Xf+tsPfGEApL+6hf1YSIxe+UU5ZS2T/unL7CQ0cabonKZKz+/UT8KJ4PzW+NDMZ0r + hte3NaJSJE/gHA4K5XqTpysFjhW6relAJzyJ3uQ3zgFEgwn4fDk/2g/yhgqCYeH+wdsOH9sQrChz + SZDd+3TaLYwOynb7xmzme1Nwbw4wPSyD6bP+mPKbLoE9XRdYCdqvN2IyXZRe4AeiT5vE40wsGvTN + pJFOyUYzxP07nuC+X2G6Ru29bbTX14XVsHjRVIlHo4/TtQtO1ryIpUYMvaqyMGG5V2LiyHQ0pnOw + tcBIj4RdA3OHhg24XzT7O1jkPY34xdZd2IVJileXs1qOVvY9wipPKTGOyI+G9YhCsPG0ZH5tHWc9 + 54W/eShdhsHoDaMYA8zzix8fMobgSBN5eT3kxO6UJx/mfgWnGnTmHeu+7Y5x0MDoPgsc5/iIVoHb + SzDHm+n94phOL/dU/+ZvZHsPS04/1eYLm0l+EH2Xbr0+VJzZjwRC0v7t86EVDx3qzKdFy7k/TJtt + loEcLTjm0svxBkd1ErTXXEShr0xvpOwLf+Kz3Xnf9I+eR6+bTIxbpJWdISTwm7cS5zefCaC04ed/ + +VtapwN7PmJlxs/Zn36gQbMWLmjCU2X3UbH43C9NVKVFytRKbiPm3lITZr5PrCpZop/fofz0I1kQ + DS2TWv8q38PdIU4S62jcNMNRkUdpJHqTjQZrqkQEvcYlVT6TUUoKvQpwHWqT6LbQlF302bpwPxoZ + wc/zth1TAWW/fkDFjITtyDZyDFEXLPE61KTokxjbSpn9ZIZnfKCxqLu/+mUaN4xoFZZxAy51Oxy9 + h287HJJHJf/w0gmEvmyCciei6/P7mvknS2nHc38D4eHMYlnwuPQYnzV4PPIwms/nwOXsgIpq3czf + ++Q//YpOfp8S02mziJ9ejoyq9JEyI/3c2nGeX6N5/kBMLXm340VYx3/wVT+aLOq/r0MOfaztmReM + qJx6ZtqAe8GhC8XoS5Y76wLSyVTYzog1b7g5nw7yCRxGmC3yGR9c5e/fVsB//uuvv/7Xb8Ogbm75 + a14M6POx//d/rwr8O7kl/xZF6d9M+rOJQLvkkf/9z/9ZQvj70zb1p//ffVPl7+7vf/5arv6sG/zd + N33y+n+v/2t+2n/+678AAAD//wMAP1WwTOMgAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc9c72cc71244-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:19:42 GMT + Function-Execution-Id: + - yvvldstgvsvm + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '74' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 1dabd53de4282b519b0b347d06fba149 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 93d0b7b83f501e32a6081a99294f07ac + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created"}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file to determine what actions + to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains + the necessary information to determine the next steps.\",\n \"plan\": + \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze + the instructions to determine the next steps\",\n \"criticism\": \"I + need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will start by reading the instructions_1.txt file to determine the next + steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead + the file instructions_2.txt"}, {"role": "user", "content": "Determine which + next command to use, and respond using the format specified above:"}, {"role": + "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next + instruction is to read the instructions_2.txt file. I should use the read_file + command to do this.\",\n \"reasoning\": \"The instructions_2.txt file + contains additional information that is necessary to determine the next steps.\",\n \"plan\": + \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze + the instructions to determine the next steps\",\n \"criticism\": \"I + need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '5471' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA4SST2/bMAzF7/sUBM92kMBokvnW0xBs2GF/D/MQqDJtq5EpV6LXpIG/+6A4WYoE + S698JN/vSdyjKTFH3SjRbWfTxcf3T93janm/eVE/v1Tlnyf7+cP8k/vqn1c/MEH38EhajhMT7drO + khjHmKD2pIRKzGfz5d00Wy6WWYKtK8lijnUnaTa5S6X3Dy6dZtMZJtgHVRPme+y8aztZi9sQB8xn + s8UswfPyszBfJChOlD2Xsmw5JKgbZzQFzH/tsaVwWuydJcxRhWCCKJaI6ViIY4R9wQAABUrj+rqR + UGAOx+JRoK3EYoHfGgKmrYDhIL7XEQtMAHHgSZUgDb2WwjqbyFagMpYmsILQuN6W0Ac6dMaRddRA + u7ZVXMY9pQNpTJgUmLxm8KSCY8P1GeQ/RhCjKcMBVFmaqCoLhivnW3XglUZJhGbS8Yn87mBLQr41 + PJIdMgah7oqjs4pHhBS+38rx1nsUBadwz8ruXuiq7xbRBZD2Row2oR2pVsBEBwDi0Hsa065AtVA5 + a92z4fraTmndeyVkdxDxqaqMNsRid5f5Q0dqc7J6Ntbe/s03r6LAcfuQnM7wOH11haxaGo3/OV2w + KV9fHu8oxN7z+DXKCeIAcuQpeMAhwcqwCc16PD/MMYjrMEHDJW0xnw6/h3d/AQAA//8DAGvOn0w9 + BAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc9ce0ba71101-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:20:03 GMT + Function-Execution-Id: + - pbmewb1rp8v5 + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '19929' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 1cc694f7ec27d332fccf8ee536d2fcb3 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '85978' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.681s + X-Request-Id: + - 097693547d7c7d083fa14613bab59e0f + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Write the + task_id into the file output.txt Shutdown\"\"\"\n\n\nCONCISE SUMMARY: The text + is best summarized as"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '292' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOTUvDQBCG7/6KZc6bkH7HvQkFRcWLB0WRst2dNmuTmbAzocWS/y4FP64P7/vw + nCFFcBAar6Hr22L1cJ3XzVd+mU8lR3lb55vn18fb9incHe/BAm8/MejPowzc9S1qYgILIaNXjOAm + y3pRzeq6WlnoOGILDva9FrNyUeiQt1xUs2oCFgbxewR3hj5z1+tG+YAk4OZzC//qPzypLSirb//I + cjpaCA2ngALu/Qwdyq8zc4vgwIskUU96KWRSpEt9ItE8BE20N8rmmJOi0QaNejlsUjSJlI03u9Si + Id9hNDxoP2ipJzWe4mVMRppBIx+phNHCLlGSZpPRCxM4EOUeLCSKeAJXjR/j1TcAAAD//wMAWEdU + 8m4BAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfca5cfb6a117f-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:20:09 GMT + Function-Execution-Id: + - yvvlzdkld8xw + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '2345' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 935ddc3ec26e3fc83995dd88cb4b84e6;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '89455' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 362ms + X-Request-Id: + - bbe6d9f4186af1ddaf62b36bb61890e7 + status: + code: 200 + message: OK +- request: + body: '{"input": ["Write the task_id into the file output.txt Shutdown"], "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '130' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6WxOyurbl+/4Vq9YrvUvklrDfEFCRS4KgiF1dXYCIoMg1AXLq/Pcu/HadPufF + KjElyczMmGOMmf/4x19//d2kVZ6Nf//rr78/5TD+/b/WZ49kTP7+11//+x9//fXXX//x+/wfI/M6 + zR+P8lv8hv9+LL+PfP77X3/x//Xk/w/6119/F5tXSPeh9AFzeAYDmNX8SYIhE/uRiWkM7wYqqO5+ + 9858zdEAsF4Saj0dkwlL5JmwmMsNkiTNMyZdMgj4Jq2NQAWfbFZVhJTR/g7Ys8mjX3YtKGFGhRc2 + wL3s5yJGGti854AipMz9tJd6F8K9G9P0Ow49IXOUwSd/2xBOi01HJPwNAcMvj9SuXlLPkr2uw5dC + GgIFcHIme/+YYIB1kZ5255DNoms2kN2JjJ23d6yWz0aNoBrfNXw0QBcum+yWQOejDNSYb3JFRKrZ + 8HxRdggi03BEUz3bIH18D2SjsT4c+ucJQveiyUjU08SZbzlB4L5DW6y/+50jpPm9A6/ok2D9uI+q + qftaHZTqd0/Ddb2UNv0AH+0mJluZ7irxPk0+5MxXSS0cJwbNP/UA46sZUvNGMJjOCclk3Q01vGOB + bizSBkOwPWsT3XtHAibwYROUx6nF561RAdLARgMT7ws4SkwCFlOJE3As3Te+y8CsBOVbcABYRow2 + n7tm8NL23gFJ7WZq0Nu7Wuj1UytfNkAajY3vTLuUXcAoTgPWVNlIJ+htCCRf5Y3x5uGzJf5MAmT1 + ssOnY+k7M4CEwOFbQuxU8AkYncoEUsR1ZFnjMfPOx4Jp01Xk00IBMHEUdUgSMcOOVAiMETe9wK5G + R7rX9mk6x4kcK+cT/yZSDUG6vJ5+B86DfCFy9JaqxcK7BiY0k+k+iK/Vn/1498jCtuH26WxBJ1eU + u+xQh5uZw6IijGHBig4/9McQjplxESC6XgndBYMXLp0vT6AVDhg7p9POGD1NjMBbdBfEJ5sXYG7w + UoB/ozsy46FkHVMuFjiVtYtmPOhscq9KA8p0HkkjFV/Web1cKG262eDjY2ocsuTGpD5kzcE3ywVs + 7lRQwyUoAZF3ZwZYwGoTxv0R4EMY3nrR+vBvZdsdXkSBAqim08cv4ZqPSKWXIJyut7sN3YsuU43W + DZuqk+xDJZUEfKumDBA83HXoClaG91029zN73i6wS60O8QnaVGyWtVrxyyWnOKyLlO7g3G3UzfNA + pEd/6Udq1zZkZpej5d2/jLn1Zl0eppqQdgPuKfUECULj+Wioye3rcAFH4kJDfHsIvL1vP7n3b/bb + D+pVCzUan8t1CKxdjLXzeapI0JAGdlenJePyeYcz/hxiWfCcMzWLqaqWPFJymOGhRWSgOGTZ+arD + AT1sAnuLC/tXeU+gxe4v/KirOl2eHBfBXYt8JJxDHXTAmGNV0h4LIbde7Zmpni34FK4dNa3hWLHN + JpAg8i4JaU7xPp0HGzVQRfGO3qxB6JtLZXbw3bsWaSRtNMbUCUvo6c4Bm3TpGSt2GwvkL+dGuMd4 + YCxwOgRmLSww2pRmOE9ERYBk4pG6cLDZENFbB89MTenuPIisk/vHAh3Ef+g+OpXpdPrEBUy7DqHt + pqiM6XBhzQ+fiBS0g9OXSTDAg8E9kcQ4AqiUmAIMDA3RkN7e/fI0rAAgNQ/weh76yRhiBI/E8xB5 + eYMzjoczD4LEvOB9GDvOOn8bWN9YxJaAnXD5iEIHPdOeKcLK0RD6ieMATbQjjUdPZERtrByW/PZJ + rSE/Md79TBpc8QNrn+0xZDuJTtDeLjx1PdPrf+cJuoKdUXx6i+mwwHv0wyt63+taJdxOTaaIYWJg + HF5jMBxPmqWWA+/g/UEIwslXWgRtoz9jjxc0xoeCwMNwDCCRJAqcsYgPOljxhmzcK+pnpOqZ+t4f + MdXEpgZzt1ciCOgxRz2jXdUP0ukNIYs+iFXXQ89v3/wC66FUiRAxyIauFBbgaPyZJp8gSaep2k6w + lus9PrxF0xnn6kTgNXrniHb3Z9iF75kHR9nvkJBtD44g6EoCMd+d6a54js5AgSxA3hOO1ArbXSW8 + 8bLA2DIcbCf+DOYDGwNQZFlF3V7WKno1HR2eL9KOhvf33mHhkyl/6qM+wCWlO60uYH63DKyhuQDs + XUoSDFLjRRbmoWowzXxSTreS4mOy8QGzhXOuPHIAsMkbj3RBjjAB/qIgjA5tkQ77ZuQhTfQjdSc7 + cOjJdghQdHFPTSPVqqG8DhM8Xp0M78bdno3aUvtwa+jpn++i4Mm8sj8LEO+P0egsSxAHsHKhQaNs + ezCWfdQIkBu6Az7eSM5Gbg4GWGEJ0JQ7x+niZ2H3q59U+1zdSkz2tgZMSmOMGRj7qdXlN2DcfFnP + mwOWLRoluD+wJ9keo9FYunjKVey/DHzzVDWc1b0JwZCWAdpcD0lFP4qYwBVPEH9WUcp6Y2updk5G + Ut9MM5zjUjqA48lesLEvWoeqhNMhwfOGOm5bh1MQyR1UFqjSoyqUxjQVGlTxWNtI6G9hP28Nkskq + eE5kcgrECHK4BQazleLjfhiMmZPPCdQkQ0HcpnyHTO1PLrR2IYd3OE3T2QBuBhb5uyOty0RjURst + A7I4N1TL3kU/WbJNwIdLJjTXG9izQbMioGv+DVvXU8omcuv+nU8Gb02AEniVYJXAGIemJjHGvOAC + n2Js0ZV/VS2jlwH6HDuS2meWMZfDkyjCyy/+5Kcoo3sEtrPdYP3ZeimNpnhRNKIBMt/Ui8G8GtSQ + H+QXxrLLV0tefjg4WdYF67v9i9GjXC8KcDWC9/FJTKdij5UfXuDDpw6MRTbuyo9fUpfc/XR23CYG + fX4NEN2ofT9JanxRrrTB1L5NujN/ho0L2ufmSvd5wqomBNqg5pWjY1sVzs6chzKBQHJ8au/VspoH + FJcKzl83fDsT21nyXLbg9zsE1FeaORw4Ie6gZkOHJuv4Xz2H+Ps5YSwMJpjx61wr8HD6rHhTsLk9 + UUt5b/ER4+jgO3NwXxIlNWqLelnQOSwdPQVE3zml5lkl4W8+IHPGEBu6ZrDtjfRvKL8mjeL4NvTj + WW05IMQuwZn3ttJpAMEFRu18wHqhXMJtUZiDuuIbtnpPZyPXXjToStaRuve6Dnufnifg38lA7cQ/ + swZHiQ2D5HDBzma2KiFuxw4uQyUTapuLwdj5aIHQdl0altuekX6rCUDN4gg/r/U1nZVLJ4CXNKh0 + /3JsMFfxWMIGLTE1kVqx2W2kSVn3m560WXbIZ7ON4LFAMrXcmIL1/DagyHOETQskYIKeSNR7EtR4 + Vz3FcIpA4f7JN+n0jXvm6u/yx+9JekkyNgpPQYBTj01syHexJyeKBGDkRUq1Wdyni9fPBXgeA59w + bqIbMyxUHhJfyDECs1gtZ7+wITrdTBR8eyed4iPzoeVHM2riZGRU6myk4L5+YjwBIxUKcCrAnV3i + P3yaiOXmDdxIf2Pr0fMV2xzPHVzG+oZ3HL8P+agvBcCXSoWkV/ZKB/ABE8wo/8JpDrVqSZPj9IsH + mS76kU3wKiRw328VNG+XmZHbqcnByqf+1K/luMwIZMl0oGd+ycJFWCAE+Ps9UZP77IwhuRwCOLzf + Jn3aZuAwPeMk4AMer/HGbNgErwN0XEEhChc5gFR93wEHCR963F7acOWfHbQbOtD96dtWH02vCGj3 + 8IaD52mpFndTDQrfAYGeTN1x5uR21BWRf1r0oHRGL6z/94cv7oJhDOciPmiwF+8mTib+0c/NXLyh + LLKGQM8c+3bQMQSx5BhIfolWvyT6LlAjn17JtoNDuBy4N4F3D+cYPbJn2hb+MYLlftljN64n1u+g + 3IBl/2BkpjulX5RbVUvaYPhEPT95sOLNG7S8+abe/bUAVnGvSc3iJUVFcxWNuZxeNfjxBXOfXnty + Er0CjOeWUTe8tmC4v40O2Gw+0Z0FHDAfn8CE/m3c4evkheE8p4YGyUeRsaZY0b/5EipSBztf78yG + S+pBqHq3iu7wUILZ0zYRLM8LpW58EBxSHrMa3m4gxKcNkEPKy8VB7Wr3iFGLO6OrWBeBp+U9qOVK + dj9F7FWoL/Q+4OMFyWzl84V6TzFD0su5g/l43GhyGCGBWgt3T6eItQXczlaDb23Qp5P1OnRQSuod + xlFtM0EGoQXB9VBQXciLvle6doCJ/JSIMMm6I3QaH8NT+XZpXMBDz8zdQQPr/Ih0TapwTL5mDHhH + yKjuCnHImJdEkLvWGt4XvW80d/6kQzsYTIo4/eLMm/OT+5Mfnig4jkjMSwMZxy7UHJZdtazrVTKP + cEQub0a6MPtcQ+OYX3/+gSF+bCjA06siZLZAD+a3yS7goYNg1Vc7sM5PV4QSj0RNd5XD7v62hOOp + e+KDeD/3y6qn4E63bHpwznL/w2PVeDxV6rTcyWHjJdFAfco8mmQvkk7VaQ7geOx4jJ/i3E8LnzTA + 3R45FEvFkQn3K8vUzzfqCLFOST/H5WRCam1abPOfLmUXLJSQe9YcUurFruZuy0vwot9iil+W1E97 + 7cXJVbkZiJCYiInbuU0gg6xFsnnmQqLfBUspklxC2+tpYMRxbj7MxO0WbYpGBX/ive73n/rdej5P + YJRRjoAVzyfxZChg1cd0tyzfcPnGMfzD73/8ctWzCXR7c4NEbr9N2eW4EZSxJGfCHSTWj2kYIDW5 + pI9fPoVLop98gNuaR6O/SZx5PNwFWB+zElWK/AWsCUNdlel0ob6OG4MpJC+gGfcBaRiHQBXSOYD5 + 146pbT2WdEr9cwYLVnZE3alzP4zfwlIDZh/IHAxjuqz6GCZh7lOjvM7GYKs3Dcz365l6/nOTzqpn + NFB8JgOp+loEk/TJAqhmSYSmyvQNsgS+D4u52BD1YwjG6ud0QJobC8FeLvpZ0/sBepqTok1Ud4xw + 1p7Afn9+0XRbuOlMD/NF/fE3d/WHxlIqfPga+4L44u0ZDvI1UiB/4md6deMCLHtUWrCKNjo9KbbI + luksTXDVr+g+3x22fZkhD5rX9kRP5jkP2+TpDT99SH1v7tNpY5cxxHpBKNrOOpjR6JnwZD+/KP/m + VkioVyvKqhcoOsQxm91hrME7sG74IHdojXdUwvr53JJJx5ZDV70H5IB6+MhfGGCTqwh/+Mt5ePXO + 4oqjJq14Sj0HSelnFC7JTz/g68vpGLWFc6ZW3M7CrzVfJvcxX2CnHRHebY2KUXObZNC5KzrGq36a + tnDi4WtsC+wR/tYvWRRwPz5JD8I9cybzcrHA6mehdsV7vrb9RZUjUtHTbkY9A8lwgdv9JiT84zn3 + tNiJNjil5R7HwWlOSbIYAtSLBJM3Ug0msn3YKS84hNQndZiyxym/wFqoIKqnRumJIRxK6FTyDmMz + 9Cvm1JkJJ9PmEPscmnC64iSHZM922PTVGEy5pfgg2GkVvm6okE6DcTcVPtxO9HAOdcbukxRAzqxK + RE6tzQT66Tiw8iscfurKYbQYdeX25lIkHoZXPzntwCuFWjVEsGeOTQ+XHiDg7DM+PevBmbR+GmD2 + Eryff9bP2438hrVUfamzOXtsYEWRg1Vv/sn3Fo37A6D25vLTz2D0T48CrucFu+Q+hQtusA0/6UUj + fPNSjPki2Au8Xt6MxhtNTJfoETSwSrgYqcnO69kYH3i42Q0l3Vnp2WEotQ4wi6eU4h0r2FqvLsB8 + jSY+RVvNINLxMMBLej8hcDyKYNkM2QTDyBVw1t8/YCiuXgDtZhyoLnFTWmteb8FBywRs3FiVsi5U + CkhyfqHn1r8b3dm8vaH0/miE8dbEplU7wCtoZALHuwIWswt1uLenLTYvqANE9c0EBBuLIjaKl5S2 + Ymcq5xZm9OYTvp+mHmZABY+J6l+Fq7ppB5Kfvv3tdzofbzCBB968Yec7uhX1xTiDEi7eK7+rwoWz + PKJcyXdG3/0wOKze7HzlMyUZPpUHAKZcY28IImNEfPvCPZ3cRVCjzzzR014v+qk91DGAZ6xjtGiC + MV+IacLIHHp0Wfmt8H5OtvqL7+76MPvtz5/MXryHT3ap9PMkAAXeUqWl5h74KXi+Zgkm/aPCTtqT + /qO4gwWpvH/h1b9l84OWb6ijoKfodPKdsRnzAa58BXvoaad8JOYR2Om2TU/lzQiFenAsiNmHYXdX + duH8coNCfZ5DjE+9RdNFLXYL/GbNFo3oaYfsZDuDYvmXmYY6Fo2pW3gLxoIT093Kt9j367mwPj9e + RGyWqZq/22sM342zIYWltaAJma3Ln/vlSo3PNa3mA50yMExvguOi3xh//KdWMDHdf51nXwNHMhW7 + XWy8C9ylWrDkliCJUgvvuIvdL8dOKcGqh+nqHwC2fQ0aBEi7//Tgqseng3qp85rwq97/ozd/fmSx + 3DRjqaqB+8WH2rfNNqU764OggC1I8bW+hh1kjIMv+z1R3Nu7ajIGH8EiyyvsfqxT//Oj1ffszVhD + Wv5vPrD4lY/kY+kbfHE6L+r+ufWp4cz7cMXjAkYW2aGbut8wGk3+AqOctlSjB2QwKTjY8uGuKQTk + sOiHb3nzf/UO9UMuscH9TDoU+zRCqvItQ/pN7wRKaYUIvwdTOKz9EshQn2HUcrExrO+H8OH12AmS + I+M93crBe3Cuf+YjLndPkF/Xzvv5UcaKfxlc/UcEX+Kt+haCU8PnNfgg7ps34dzMTQ0zIDpELmuh + Yll7PqiT4L/+1LutY76ImmqvDbVWPtRfjiIP6+4VoG3cBs7c3t+FSiYY4b2Q02q5jr4Ou5tzoYf+ + xvr5mpwVCE1HQZu3/ElH8a0Rlbu+tZV/oZDcdq9Jffv2QE/Q3TkiijhXeZiSup6PKZ3j6FtAVNwd + ur+234pdLlYMt6lByGCWF0BWvwyIdnTG9vn5AYM+7XV4jd8nbG2KxZmCfIrUMWxzjCi994v43WUw + vX8nMn2uQzUVp/sCV32Bd7VPqpp6RIGwCS2smfhhrPwzgpJXyAi+rYvR6S9egJz+Eqk37y/GBB7q + AQ7L+46T7f5jTINxPqik2c7YXKrKWH76rkvtDkEzfFXLgdDoD79QVn9v+V6OB/iKvgkaZHffM1/0 + czWHiK16n0+nhz9B1WBvkUgnSXP4Xz1b+Qf6+eEMciwGsDlbq17rnT/6hIK9i80hqAH9JIoLKqwA + JPihl07LEHIwei5Hsk2Vig31AUlwgN8bUvmodobVT4LMbHIcTiIHBnvXwJ9fS763TZ3+8BmWxpRQ + 4/7+OILZhdpP72BTurzBcMVBDkudQqxf47PBlpdbyh46Uar58xYsgq7EoOEUH72XRUgnXqo5cPOU + C5nQrLFFBqkFayulaH6QK1vWfhncNc5CNrF4TGeuzTSQT65NFmFkbAkGqYCfJT5iG0S7UOxCpYRw + e/Hpw0FxyLSiDaBTgR3++VerX7H88B1riZ5VE3m2GbyYNwPNrS8bH0FcFPW3Pq16d4AICutUcDUL + AuLeDJl8CLrf+tA2lPZgmi1XUj5LckTF6u+xpTUQyFReID9+T7W4q2FV6DzZHqJbNa79HPDTS/rx + M4dM6nQXjOVwxqGuVaz59QPd7Z5D5YYe03lzvnHwLaMH+vUftvhzSKAmmiPdtf7dGeuXM0Cg2AAf + k6dgtMvRF9ShqmoEp24A7FWeY2h+hgQ70tmoJtSZkfr2rQHv9p3M/tT3XDMDbPi6wIjv5j749Q+U + Vc+L2/mVwPr8fJHN6X0LSfQIOpl9aIVt55H1y+VkcbB96hbe1RtYzS8zFKB+vSzY+xiCM/7Oz8p3 + iEiNgS2DhxOoRdyW6l1/ZSR6JA3s/QtHpDjx2BK62wnaz17BxsrfPl81M0GeHH0iMzkN2+8+EaDh + F0ccyNyHTUeT88Fc3GNCNnrb0+PIfHW71w5//Ew2NC6CQhU42N6rej8n1DHBy/rusRM7bTVmIDrA + DeP3q79zqeY0TBDsPOuKb7T6VtN7p7zV1b9Ei3bZ9Mz6wFo0X9TE9uNVgcmZ+wK6xBB//dx+u/a/ + QFp3Ejaa2qsmrVo0IPu0pMbKH+kG+5G6+kvojYczW/PTBz+8/vGvKXtXFvB4v8Uxyy8GW1oHQQdy + C1n1zM9PhbD9GtmvP+vwj2zIwBj2ORGTZ2QskDEIDbH20DjveacvDjsdrv4H9c7+ridq7JhwLlMD + nVtfdmh91HRVV+4etaulcEbzmb5h5g0c9vzpwGauvejq379bAf/5j7/++j+/GwZ188g/68WAMZ/H + f/7XVYF/Jo/knzwv/JMKf24ikCEp8r//9e9LCH+3fVO34/8dm3f+Hf7+11/bf183+HtsxuTz35// + Y33bf/7j/wEAAP//AwDnoBEa4yAAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfca726b5d1041-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:20:10 GMT + Function-Execution-Id: + - pbme52vq34dz + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '252' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - f738b1af12886297fba45c0ea7b50048 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 9c5ecb63a4996b946555161a4a7fe863 + status: + code: 200 + message: OK +- request: + body: '{"input": "instructing to write the task_id into a file named output.txt + and then shutdown.", "model": "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '157' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWxO6OrPm799PsWrdMm+JiKRZd8hJ5BQEDzg1NQWICArIIQGya3/3Kf3v2jNz + 4wVQQpJO9/P8Ov/xr7/++rtNqzwb//7nr7/f5TD+/T++1+7JmPz9z1//819//fXXX//x+/3/nszr + NL/fy6b4Pf67WTb3fP77n7/4/77yfx/656+/V725oV5tnPvZup446Y0g9MVLZbIxbPcA5/jxoMbh + 5iHm3mQX8euCp7Yuryr2uW0LSA6PA9F4bGqT08YL2nmrG5Hl3tWWA0leaO/rHb7bluRMOedI0Kub + G3Yyw+wZzy4v4E/8SD1FMFO+wtcBjm90pvqs92hamR8A17/sqZWGSzrzTVWiWfXvVI1CFa3txEuQ + DLsLtqRedxYJ8wAXneTUFWxZI9VcmKg/XlZ4tzm8tGmOViYM7HbC7iB+onl+HARo5/eV2jK+a4PT + 317o3tUr0jm5iTZXV8zRQT0/qasDjqZ4mSfoHjD5m0ecprN5ehWoDRwN44ey7uc8dVwpMcsUGxLL + 2ZShKIeRZyXFtf5O6SVcdLhUokP35kbQZvRBLlRbTvM7Vr+0Th1sETwfLGzjsOpnxwok5KzME/YP + eRMxTVNeMO3qjOqSDek8PMoX1LnFcILmN2LD+6SCH5Yidoa0c5Za00MUNzGP43rca+tbkwsomjnV + X4LbWlsS7pTBzg5zsllwHS3vgyehZgwSetz7Ts/WaZFBk6uNz5ST1zNc5hIU/kyxPy4Nm6vrp4O0 + f+bYUmfPmdk0cnAooxTvo1uGpsjAJjRD6ZF1aV6iiefmEyoOr4S651xwll0VCNAvmon3kv9irJ2b + FkoIJrrLedWZLafUkX48b+jOPUE6V6eW30qNONDDw2kYu+JtAIN2TwibSxQRrT6E0KBJoeo2kNFy + 53QdPvhCqbWILZoo3AKonKLCt01xYNMGFTbw55dE1fTTsGUbygsyH72NNeelpMuedBwqYsEj41Gp + +3lssw69s+VN9dp9pIM72zy009rGjv6YtMEXeB0M5+T724pMGt0psYVW+0zFmbHhHHLTL5ac36YB + B/VlFwmpmAhwCtsDVWn67Kf9ZnSlraMN2Pwwq1+TR+Ki6Dxq2PykqrZOXhcV1b3kYnPmumiCuBYg + s8qO7upVxZhdblp4iJaJbw9nz8b3PZTg8WkLvOfkKZ0T3A5QOWXlz5ePEvHDqswAr88JtWPFQ5NH + VHVl4UykKu4+0SzmMYFVr2+w/cgqNu3fE/nFC8VeVWgtnIkC8T6TqMkNp4hxy10HLpUDf1JVBbFT + pOYIdbs9dcXHLprN63iBK1+6eE8Jh8YYz7osdue3/5zajC3GW5TQgJecoCJzqilZdz6QdVr5nH27 + aCwszRKOIdcQoSPXiJ1jRGBlxxO+eHndT7tPGMrWsU++4yvSeZ0/dVktdpQaSyD0S67JMaRmjKmX + m1dtcYnqwstJrv42My9oulERwMK5SHFPVhV1LYVAJoBNpGkUojE73ziIz1yBjTy8VfPzOMUIicXo + VxFVNebvpxOq5quE3aDaR0y3tgKy/fJGcdd4FZtfLITkTSzqhXuxIujALnKVcRuyuqwjRORDCXCM + CE/GdWFHkxgYFlx7DxH5SYJ+pr2ho8urjbGhHiQ2nrybCtsm6Ol5LQbOsvZO4i8+/JWQtGiRzc4G + Vt88uveQgaaIheX2ect87M7NCbHrc1zAwWKDTekwaBPTmYpOvHmnmnxg0Wzcaw5amqypYcynaCml + rgROdDH1FraqfvkObQ3+ivd2NERUT8gJbpuwpRrPHfv5/nR50G3iUXcqSjStwpMA7mNK6dGRN9q8 + M2/11riX1N9G8dDTK54D+coXrv9s76m2THAwYZeSBeuLI7M5iHoFXq40U18qZjR9VESQjcOaHjJT + QEOFHwPcr+2RXiRx0088t72AmBoLtmP36MyP0Jpg4MDB6mR76bqZN4JUc7xE/bF+Vb3wvBEEZmDS + S3ld0tE92gC7dFj8OXXbnoYPj6C1dS+pd2oLjbFXKYLUSIMPrqumG7GxOdiYi0C9z3aJ6BVvQxhz + yaD2sN1WE4VjCK9nxOPdg06I3cIPgbv9MajaZJU2lfMUylvz9aL5O1URyWiQANGOFpFO8SlaaLQK + EFV8H7trrXfmbaNOEFavlvq3tulplus+FL5WYk3frNFwtSmHolCxcPRdjyFdngkI27nDNli9syii + acE8xzb1342psVmgi3SPk5y6WWmw+VkNIgRrOcW27vPaeA9vFjjh+oL1ojS0teccLtI3H+L9jTyd + KRw/IezVilF9ce5snDsgwH2GD9Z4TWVUeB4JKrOTQOOctFX/G/+Hhh+q6zczEpqNwiF1FT2xxuPa + YVu6VpDedXtsGPK1H4xKCeRbqn0IfxZSxuqeS0CWCsAn6Cs2vz/GBOEx2ZPNWdIjdntdfLjfrB7r + d5MgMu95RU62N80PnegVffOPCc1Oy37fr40rmplwmBSeenI/aIu4tyUoV6ue8HFlVutfPrleK4Uw + KiqISR+UILbuFTIJoqWxcfYlcKniY73ddtrMre8EkYlL8W/9SWrjGL75Al8a847YDms88JfzHvuX + mK+mkt/qkvi2A3pAJ7NqiRpy8F0Pv3dQ/a2HnYloYVv4EMVuNS1bxZS5D/lg1fKjdLiOSgHbmBl4 + h29jxPbXswXx2vIINye7tP/mJ7i1TCXybj5rS2xfF+lchTb1SLCJGNxF65e/fCFxg4o+EqaC53OW + 32uwr5Yzsy/wiydDF4xK6IzhAkF4qrEDs1ctbz4upWYME7LNV3rPEzXhoHwcX9i23jeNZamToCUU + 8q++cxAh27iDoJok6srqoSfjKgnQ+TS9qDkve2cJVTNHP/2kXteORgE9CngmfoqVFRf3v/8DoeaB + 2sGUMLb6JC3KnaOJr06Sp/PSMBFeDyOkWedwFakVJ4enZJ1pImNZY/G5LLfbush9NjVuP8fuFP7q + vy/m5TtithEHqAvRA5vP1kSzbu5cdL6ttlQhY50yVIjcL99Sw1BbxlzLGtDyChdfTMMw4uuDN0Bd + XM9E+KSlMy9CU6NXUTXYUTZCP7LnEsDlIq6wWV7DSKj9lQW+Pj+wxT0UtOzlvEPN47mj+Ex2jG3S + QAfx846pXpA2Ig6vCdDzMu/Pm/M+4nWJS2A/ydFvftkG7qItLaF+pNHaPjHq76cLZGO/xd6z9NL5 + +iIJmozoSvgtHvtBqZ6q3OXZhSq2p1bzO0l0hCNkfvOd4iz2xu1AiM8X6hz8tJ/dcpUh5VNfsaZb + XUqiLg7lZYMLvN+M94iJjQ1w1i4B4TxTQXOeat/8xKi/6VZRNErLugNthUqMy6DtJ79VYri9hZO/ + Psdu+tWfueS8tQ1pmH3WlpAlA4TnvYrNy2ujLaCIElCmC9heB1w/zo8dD8922P3yRTV99w9y8sTz + txwoziZxWx0K+9IQ8UI7bRxuBQCe2wf++YW5SCQBwvV8wMZxWtjcFNoFCC1Mv9g0Ud/vlMCS5faU + 4syK3xU5c7ILXJcLBH3jn1nHtETxtjmTwYtOaeduZV2iOFewb98EjV3xHKL+wb9osB9SbTluTye4 + vLqYau7eYst3PdExhIYe0eCmrLqnpqQkp5cvZfQW0aZkgBylXVOjYDvtp3+kMhEyug+7OVpks7RR + muxtqp3fKzTq5sGH4Pi64VMQv9hETjgToxcnUE/CZzT388NEetB0ZD2f92h9vmgmVBlssKKqBZuF + tAhQ67knfKxXFWL+7cVDYig7f7q4T60b1cgCBF5LRDhz1fgIlUUuIZzI2ts1EbP8hMDFSm8Yc2+7 + n492W6N3psa/9a6687QrEIe2tr/NQslZdkWsStFe7rA9PSNnCVilg+llH+rPyTOdhS4CmYkNIdvW + WEfTtA1yoBo6+HK7KOkS248J2cGAqF+ZebUY70mUDqR++Py6OTkTwjBBMxQevmraNpo9yyokpRVs + rOvvQz8Pt5aDw7Pysbp/NP1wNK4ZSMOVp9r9laczzsYc7gdJpHspaTX6LIYQ1Vl7w97WqhjhlLYE + N3pcyae5fHo2XIoLPNBm99XLijNxcZ7BuLNGHx18VH39sAjJ4X7Axr0iWm+dsovkPC9A/bo8oXm7 + FjLgUqxhjA58upynQwnezM/YeQVWJNhtAOAd7Y7u2NPu+8D7vEBLi4IepmDjLPfDRoGWxmv62Ccr + rUNxo6KLwG+xNjDMptlbZyjae3e6gwZF00p72nKkhxTrHz5G5KkMPkRaUVLX28/OOAkrDmofKf6y + 7220NpLakgbda6jdsJYRkx9qdKrPui++FOjHo13U6FONC/WSXK4Wi898MMekItA5eT9n5xtIH20W + yfpz+aRLpZ1aKdBMRriNjnrazk0Hd/EU40MQpVX/SJgCj09XkKVAKVrcVqnllnQt3TlzhP741cq/ + H6nyCOd+MaTa//kVrD0Vvp8S+/FCOHAdrGnvHVtDvcTy6bo/+tz5qPZff0RgVt07zoKqSeehv+co + XosJ1uOrFi3z1grAMfYydZ/H+b/uH5+556/tYsUWf9wKW+dhJz7Z6KhielKf0LMlO6yJde8MnNu/ + EC7jgbyg15DwwvsSuqkT8W4wTv0oTp4P1X3UqbutWTT6EYvRXa7Gb/zvIkZ6L0Ti4ZNjR+/Z1/93 + NRx3ZeSjoyd913ulouWtrsisJT5q47VUA2UbjepGEUfz+vkRUdErBPvLk6Xf9bYQyI1AWhwxNMGZ + qD99TM9n96ONho8CiHuDkhmJuJ+l3LpAcNGe9PDdr9/9PcBH03q/czrbmbE3T/LPT1urhPbMPjnc + Ntjc118/EUXzyQ5csFXvTK2XkvW/egnSnluolZO2Z9vcKuEmyZU/XfcYDWi3M0Ehuwd1Y2mIps0N + vySzbLaEU5Nrz9pMOgFeXxN/RTSNLQu3LVGoik96ih3FYUF2DyDptnfCK3Lw1RN+jnAAMdW9PnHq + CPQFtHHc0ctlkqJ+b7QteiMupIcgQtV00bkB7YOj64uN4VWbzejWaHkrqz88ZwiEfoC8lz2axscD + Wk6CYwFZ3yqKE6NG88k7KjLslQi77fnpjN96KX3ni4iLaLHJqJTw58cJtzyjaDaS2obGEUyykmaP + jeElyiD7+DNWV7KVTq10qIE7KCW9NKaMqJ+9OyTq2YHaaDYQjS5OCApSehxtnzf240Oy4vAcHjP2 + RAuE7/hXz7Epidf+x1PAKB45VgSxdSbefgV//NZXz6BlXCXhz99RIw+3/UjKSJG++pDIt6vTr9EA + KpAgONGgVRCi1jEtQLgZFXUNa+l/fhKS7LbBJ3goVX1dZg5YlD388esfF14veTA4V6BJALkzyNq2 + gJxDyK9++VZR2gvsOnhjS30f2OKvyAmS7hBgfzkM7KvvJChiXcFKFDFneWFcot2hOOL84h7TyVIe + FwllESHs63+6fd/Z0LF3/fUDPhO+9QFeSWvjkzv16bI6hDV8eajPu5MTkWpudYhYllHlpHJskrVt + CZvb+MJq/Pr6TbmyQL6Ie4rN/efLm1wd5E3tU4dtFI2tPmELsdA21FoKNZr57nVBk8Jjet2MckS3 + A7iwO5RHrO77js235iKAcS8oNuRTHS3+JHXQnzWJas1WTfkQThwqSXX16/IapotWKRlU3RCQVZn1 + 6Fc/gT/XEj2IacxYVWUD8jhJxcbhfdTo1PEisrju7U+bhvWse3QTCEbc4iT6tH17NK75H7/+05cD + 05ECBaEffxIGHU0HPlMgMSafRj/euwozQTrf5C1Zvwll8+YVXuC3P6dS6p3Zu8kqik+5+Uef0f31 + bEuGa6a+572CdLzj+ITUxAppLohiuritVSNrlSxEnuRSm6VcucCXR/qTY80pi5urCt3Uin6jnjzG + mHCNt+otMfxxXXTRct5xphTfPinhvn52FPNgkBRH4PCOz7b99NkoE6TC5fDVe3etvdGJk+XxOVFn + SG3nq09eP36MVT0RqvlwOlloOj1tau56J+W3tlNCoFgGdfgFO+tvvUD+43XA3ufpoHnvdxK8H2NE + /c720+13v6DYJKPP303CBmlvD/BCpyP+8tvoj57t/Tig+nE/pUQZ0gDWV3r25+pqp/yvXgWazqhK + G51ttNNah0cXj3ivWnY1Bc2kyMPS7/314TaiZTRSkD5hlBM+cHfVlNPYRcddEdEHd2ui2S8bHTkr + /UTPH7t2Zs/ZneRVLF6oq++KauaqpwtTGVZkGcroxw9ASq5AqdFyJZuzxs/Fwj41OK9LntH3Ke4g + 2wzXH++ppkiILqjoVfKdj57N7yQ0AZxHig3ZqpylkCQJSIVVauXlOx3OW2dCfu0xsh63x2qSlYnI + mUdXZDLfB4c2JyWUnfduQ1bf758Om0wALS0LqmJh6Pu84FvpeqpD6m03NBoO/EmFjUCmL1+/OEPQ + iQIyhqnEmNprNG4EX4Dbp8L4T37e3y8vCe49+Nv9fKr4EDIOnOcJiOC/42r46iOAhiRE/PYXxmf9 + JmDkAXz1esum1pJP0u2t7wm4yGMsL6CFsT4Cec9PR5st6xOgD1dkhLsHO21xVhxBEGcNNteJUv14 + uuTv9Be+PFuTzXgv2nCuVwb2j5+Dtm7f/EtixmhSZ9K0ip8MJ0a74ICwlThFtPSrroXPXThj/avv + 6S18ElmXX2u//fL+eSrtDg7KZk/kuxSxn5+EzCo6+qhXvCO4/S6Rv/0Ef3HlHFFxLbTQZtmeHh5X + RxvvT52XU2mn+zMfCNGXHxao51c8tdG77GfDkXJ4E3/rr2+KgYi1uatwOtkV1T7XbTW+P94ExrCU + VDt723S6ca8Wtmb9InMR3tIp6ERe+uVP/+Ieo8lnLIB+KoZvfHf9a+u5F/Td31iPq7qiPclzdLqu + c3+9Prz6ifqeAIy3aryLdiZi5fUjoFptwL99+ciy4eIFroe5+dYzC335oQrqcGHY3G1INSpu6v/0 + NFn71jYak+fZh6f7UKl9PZbaTG9xDdlVCfD1669mz1JK2V8VGtlp9aJ9+x8tsmViEgmHVTVr99UF + vvmE8PrtxwcmTu4fwssX+yzshx8fe0+3FHu5uXF+fgV+fN/qzkr/px/w5UH++IvnpyQRKGQ5o/qY + Len89WdSW15fPuKTtiKnrcZB90wNf5F1qSfW5qxCtBD88w9/eIFc+Y8j4YzO7ukmDyQ5bp0dtrpn + hcYPqVt4opb++KPD8oLvAOS3QFZdaqeCqTwKxK9LHut8UTqz7dwIOhmdjL9+o2LjbEpw1B87uusv + LWJ765nD1tkN2Lwdn+jLDyX07WfRn/4lobEPoFMG7svjL9USjTcTvvNDZKWrnKWRDhN8/b7ff/sp + 07mLdehVw8WmF2rResg+C2iPVUvtGGXV18/mqAnvE7avdyOad4ckATVvEqzF64Wxs20pYCmeiS2t + iKtZeu5smTJToP5XP87DreBkQkuT3PDEvn48uwCZhxZrQXd0JhkPMWrCx+RXBoaI9KuyhWMxKFRZ + aQe2hNNNgqHIazI30tK33/7Ir35R9xNgNj3Wuxz8F71hw/Ps6ve+X/yR06c99/Tr7yHntgj73tpN + 1+fnmgNVMl0ii6D0s0yHDLErav4rvndKYMseJ6o/PZxOv/pshbfGX771YViZT07++fUfn2fmPZ9A + cRvHl9rLHH1ex1ZB27NuY9w411So/Y2N1h8kELk+imgMb6cQfe66hZMYQU/Vg+0DMT0B77SEMKb5 + LIf9kdU+V5l5P9x1r4bIGje+YDxabTlzsg80TCj1ZWgdcuhvEzBVdajxsU3tD7/68QCHT6x+/H7P + n/5KmSmeswh6koM1ZDrOcwezHw9CY9ns/M2CzejbT83kn1/87Y9pAUuC95SmWEFpkE7x7l1A3gYh + vj5iFFHH2ZVgLJ+VX1zcnbbclk8NzsNK8Pn4whXbuZoii58m9qX9foc291itId2YF2zTpYkoLnMR + uINa4sPD2aN1En4KVHY6xkdbeGuDR2wFnOJF6a3jNGds7nb5p59ni6KoTafpOMDdezOse48Lm+7L + UYFf/Txvh4HRH7/8jX+IyUdbbmLl/vrTdP9wRWfqYFF+/Tuq6ZYdzdfzQmAyjlcfsotaTfe9mcCP + D/7hHdf1MsHlHb99dn4/0Pjrx3alE5KJ25gVVczbBKerccRaKmmMDe1JkP/+nQr4z3/99df/+p0w + qNt7/v4eDBjzefz3fx8V+HdyT/7N88K/qfDnJAIZkiL/+5//OoTw96dv68/4v8f2lTfD3//8tYY/ + xw3+Htsxef+/1//1fdt//uv/AAAA//8DAJR+VSXjIAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfca7878ae2a00-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:20:11 GMT + Function-Execution-Id: + - yvvlhpufeil9 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '46' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 649b408d80465f7f39e5760eedb089a8 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - d48b82d9676ed7ffb7da5829ba34e927 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created"}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file to determine what actions + to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains + the necessary information to determine the next steps.\",\n \"plan\": + \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze + the instructions to determine the next steps\",\n \"criticism\": \"I + need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will start by reading the instructions_1.txt file to determine the next + steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead + the file instructions_2.txt"}, {"role": "user", "content": "Determine which + next command to use, and respond using the format specified above:"}, {"role": + "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next + instruction is to read the instructions_2.txt file. I should use the read_file + command to do this.\",\n \"reasoning\": \"The instructions_2.txt file + contains additional information that is necessary to determine the next steps.\",\n \"plan\": + \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze + the instructions to determine the next steps\",\n \"criticism\": \"I + need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"The next instruction is to read the instructions_3.txt file. I should use + the read_file command to do this.\",\n \"reasoning\": \"The instructions_3.txt + file contains additional information that is necessary to determine the next + steps.\",\n \"plan\": \"- Use the read_file command to read the instructions_3.txt + file\\n- Analyze the instructions to determine the next steps\",\n \"criticism\": + \"I need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will use the read_file command to read the instructions_3.txt file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_3.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: Write the task_id into the file output.txt\nShutdown"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '6533' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA5STQW/aQBCF7/0VozkbBKEkxMf20BJ6qqhUqa7Qsh7wFntntTtOiBD/vdo1lOAq + Snud2XnzvefxAU2JOepKiW5cPbhb3Pv514ePNF1Mvn+u9g/ls6l4ufjyST9+wAx5/Yu0nCaGmhtX + kxi2mKH2pIRKzMe3s+loMpuNbzJsuKQac9w6GUyG04G0fs2D0WQ0xgzboLaE+QGd58bJSnhHNmA+ + nsymGV7EL437cYbCoupLaXp3e8xQV2w0Bcx/HLChcBb2XBPmqEIwQZSViMlWyEYLh8ICABQoFbfb + SkKBOZyKpwbtJRYLXFYElvYCxgbxrY5YYAIIw5M3QiAVgaiwW5kSjBVOhY2pCbgV18pQ9jKEOYSK + 27qENnQjaXglvEpPNTeNsmVULaOCCcMCs5dEnlRga+z2gvVnawDTOPbRJxi7Yd+ohCmVErBEZcJd + EwT1SCVs2MOmldYTeNqQJ6tpCMtXoaLbikA559l5o+SKNxniJJ3AXxL0Tbha2Y5/AN/eCuLf4+1t + 0d6I0SY03ap5iiAqkg3RdIplDqqBNhi7TYqavSctSdmqhiBBxIdynXSkErKgtG69Eqqf+yaDI7U7 + r34ydf32N/+PSyqw23XMzkd80vnrhqONDuNqb49W+W3//LvGOYlO4pWw+3/LzWT8/kyYKE+whT3i + McONsSZUq+6WMccg7DBDY0vaYz46/jy++w0AAP//AwA43yIrmAQAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfca809d0210d8-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:20:36 GMT + Function-Execution-Id: + - pbme7kantxw2 + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '24083' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - b3143c8eb6fb2bdcf9b7429eff4fa7b4 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '85965' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.69s + X-Request-Id: + - 4f56d1467ab6d751cd14534935c37bad + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "system", "content": "You + are Follow-Instructions-GPT, an AI designed to read the instructions_1.txt file + using the read_file method and follow the instructions in the file.\nYour decisions + must always be made independently without seeking user assistance. Play to your + strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. + Use the command read_file to read the instructions_1.txt file\n2. Follow the + instructions in the instructions_1.txt file\n\n\nConstraints:\n1. ~4000 word + limit for short term memory. Your short term memory is short, so immediately + save important information to files.\n2. If you are unsure how you previously + did something or want to recall past events, thinking about similar events will + help you remember.\n3. No user assistance\n4. Exclusively use the commands listed + below e.g. command_name\n\nCommands:\n1. append_to_file: Append to file, args: + \"filename\": \"\", \"text\": \"\"\n2. delete_file: Delete file, + args: \"filename\": \"\"\n3. list_files: List Files in Directory, + args: \"directory\": \"\"\n4. read_file: Read a file, args: \"filename\": + \"\"\n5. write_to_file: Write to file, args: \"filename\": \"\", + \"text\": \"\"\n6. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n7. + get_hyperlinks: Get hyperlinks, args: \"url\": \"\"\n8. get_text_summary: + Get text summary, args: \"url\": \"\", \"question\": \"\"\n9. + list_agents: List GPT Agents, args: () -> str\n10. message_agent: Message GPT + Agent, args: \"key\": \"\", \"message\": \"\"\n11. start_agent: + Start GPT Agent, args: \"name\": \"\", \"task\": \"\", + \"prompt\": \"\"\n12. task_complete: Task Complete (Shutdown), args: + \"reason\": \"\"\n\nResources:\n1. Internet access for searches and + information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered + Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. + Continuously review and analyze your actions to ensure you are performing to + the best of your abilities.\n2. Constructively self-criticize your big-picture + behavior constantly.\n3. Reflect on past decisions and strategies to refine + your approach.\n4. Every command has a cost, so be smart and efficient. Aim + to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou + should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": + {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": + \"- short bulleted\\n- list that conveys\\n- long-term plan\",\n \"criticism\": + \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say + to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": + {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response + can be parsed by Python json.loads"}, {"role": "system", "content": "The current + time and date is Tue Jan 1 00:00:00 2000"}, {"role": "system", "content": "This + reminds you of these events from your past: \nI was created"}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"I should start by reading the instructions_1.txt file to determine what actions + to take next.\",\n \"reasoning\": \"The instructions_1.txt file contains + the necessary information to determine the next steps.\",\n \"plan\": + \"- Use the read_file command to read the instructions_1.txt file\\n- Analyze + the instructions to determine the next steps\",\n \"criticism\": \"I + need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will start by reading the instructions_1.txt file to determine the next + steps.\"\n },\n \"command\": {\n \"name\": \"read_file\",\n \"args\": + {\n \"filename\": \"instructions_1.txt\"\n }\n }\n}"}, + {"role": "system", "content": "Command read_file returned: This task_id is 2314\nRead + the file instructions_2.txt"}, {"role": "user", "content": "Determine which + next command to use, and respond using the format specified above:"}, {"role": + "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"The next + instruction is to read the instructions_2.txt file. I should use the read_file + command to do this.\",\n \"reasoning\": \"The instructions_2.txt file + contains additional information that is necessary to determine the next steps.\",\n \"plan\": + \"- Use the read_file command to read the instructions_2.txt file\\n- Analyze + the instructions to determine the next steps\",\n \"criticism\": \"I + need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will use the read_file command to read the instructions_2.txt file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_2.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: Read the file instructions_3.txt"}, {"role": "user", + "content": "Determine which next command to use, and respond using the format + specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": + \"The next instruction is to read the instructions_3.txt file. I should use + the read_file command to do this.\",\n \"reasoning\": \"The instructions_3.txt + file contains additional information that is necessary to determine the next + steps.\",\n \"plan\": \"- Use the read_file command to read the instructions_3.txt + file\\n- Analyze the instructions to determine the next steps\",\n \"criticism\": + \"I need to ensure that I am following the instructions accurately and efficiently.\",\n \"speak\": + \"I will use the read_file command to read the instructions_3.txt file.\"\n },\n \"command\": + {\n \"name\": \"read_file\",\n \"args\": {\n \"filename\": + \"instructions_3.txt\"\n }\n }\n}"}, {"role": "system", "content": + "Command read_file returned: Write the task_id into the file output.txt\nShutdown"}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}, {"role": "assistant", "content": "{\n \"thoughts\": + {\n \"text\": \"The next instruction is to write the task_id into the + file output.txt. I should use the write_to_file command to do this.\",\n \"reasoning\": + \"The task_id is important information that needs to be saved for future reference. + The write_to_file command is the appropriate command to use to save this information.\",\n \"plan\": + \"- Use the write_to_file command to write the task_id into the file output.txt\",\n \"criticism\": + \"I need to ensure that I am using the correct filename and that the task_id + is written accurately.\",\n \"speak\": \"I will use the write_to_file + command to write the task_id into the file output.txt.\"\n },\n \"command\": + {\n \"name\": \"write_to_file\",\n \"args\": {\n \"filename\": + \"output.txt\",\n \"text\": \"2314\"\n }\n }\n}"}, {"role": + "system", "content": "Command write_to_file returned: File written to successfully."}, + {"role": "user", "content": "Determine which next command to use, and respond + using the format specified above:"}], "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '7667' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA5ySW4/TMBCF3/kVo3l2q1al227eVkKCLgiEAAlEUOU609jUsSPPZC9U+e8oTUq7 + 5fLAo2c053xnPHt0BWZorBZT1X60eH2ddi+rH/b2buGXt+9evHlYfP4SXxWT9zdvUWHcfCcjw8TY + xKr2JC4GVGgSaaECs+nVcj6ZLZfPJwqrWJDHDMtaRrPxfCRN2sTRZDaZosKGdUmY7bFOsaplLXFH + gTuB6VLhSfzUmE8VShTtT6XF1XWr0NjoDDFmX/dYER+FU/SEGWpmx6KDdJgxCIUuwj4PAAA5io1N + aYVzzGAoDg16kK6Y40dLiUAnghBh2ySxlMAFltSYDpHBBRBLsHWeeAwrYBsbXwDbRqCI931XlxQE + GnahPLxF8249BCUwsap0KMY5qnOKRJpjcKHsUT64YKib/jeQOjO0muHoUoATPhiDDsURc0Mn0kv/ + 2uvQW4/gE9PfwUHin/JeyJnkxBnHVa+5gkB0GKXATerktcAKrL6jM2jtPQQy3demx4M9w4a2MfXg + 0m30qe1lDK5J746e9857aP4jzDjHXrRVx/MZBn67nqAr6v2eGFxg6VReHt75t/cCN94PmU8b4cZ0 + 69g23j/+ojqQDYB5aLFVuHXBsV33cpghS6xRoQsFPWA2ab+1z34CAAD//wMAnTqQcAYEAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfcb2e8ebe29c3-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:20:58 GMT + Function-Execution-Id: + - pbmepc01gbzx + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '17906' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - c04b0eee68407fea8158cee793fa60de;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '85953' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 2.697s + X-Request-Id: + - 15503d774ef53cf1f960387e503eed2f + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"2314\"\"\"\n\n\nCONCISE + SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": + 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '245' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOQUvDQBBG7/6K8J03JWmatO5NPXjw4kUQrJTNZtpuTXbCzgSKJf9dClqvD97j + XRA6WPijUz+Mfb5+uZf6OcR1H58e64fTYWrfl99v52kl8goDbk/k9ddYeB7GnjRwhIFP5JQ62LLZ + 1EW12TSlwcAd9bA4jJpXizrXKbWcF1VRwmASdyDYC8bEw6g75S+KAls1Bv/pGy4LA2V1/Y2smtnA + Hzl4EtiPCwaSv2binmDhRIKoi3o95KgUr/cuE0qBJON9tucpZXEaWkpisi2WVbnaYoHZYB9ikOMu + kROOsBDlEQYhdnSGLebP+e4HAAD//wMAiLNr+0EBAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfcbb129082322-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:21:02 GMT + Function-Execution-Id: + - pbmevu50gphf + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '1540' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 850f41e684b09434d8c479bf8334a162;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '89467' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 354ms + X-Request-Id: + - bd62e6c94225740f116d494598aec43a + status: + code: 200 + message: OK +- request: + body: '{"input": ["2314"], "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '83' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZkUEoWXdISAgYIuAiJPJBBQRBJFDC3Rnf/cJ/lf27H1D + wiFA2qe/09P/+Mdff/3dZlV+H//+119/1+Uw/v2/1muPdEz//tdf//sff/3111//8Tv+jyfzJssf + j/JT/B7/3Sw/j3z++19/8f915f8/9K+//lYvkklkzb5UzFTOCbzqRUaTWKrBdHHrHTTpktHDuaBg + DqJvDNNqBuhl3zt9KWvcgsEcFWpfm4fbJU/JBK39ivFxHopqkV1Xhjz091g9H47Z0ge3HKKvoWJv + c9H6PCkkAYLv00Obb3HMaCCFLRTQ+UVP9IgqXscSgvR1/5KvUD1D0t6GAHLWNqD68nT6Ob1AGTYt + D6jjRFw/VfvYgNhBAhH8qGCTGlet3MXSHW0un7dOjGGKlcjcaFijVVi158M3kTdmqdA9+Oq60MTH + Fu6+nI+Uqthm37epcgo9m1ck5V2qkzILIPT65o348gbcIdt0pnSExMTO6017JtxTGTZJVOFTf+j7 + 5UDOOTSWzKTOo/CqubY6E/SXj0XuT9HSRfl6fMOwBVuMUrRn8+EVqoqcujrhU9fvx1sUTjBmAabO + eKwZwcxq4aWZK3o4oDJjjn6BMLSzB3ZGQdGHs1k6cDcAhk1PuegL/kg8uKudhPGNOvqi6D6B3Rsd + 8D46VBlxBFGAgVno9IFHvprU2PXBJc7O1LoqBCwbk0VwnAuNqtNLz6bM2XDQIrlJT/LyYXNvhhNU + ee9JSmB/AbGXKIcXPk6wWvAffaplF0GplS2sX0+JPsz9lMLL2/Ao0jgf9NPDFqBxTmLElmqsZuLE + E9SDd03xOl8L795yWHg+ojhNn4C2k7jAU+djqm18ytg6flIFZxk7I+4ykr7vOXyndI/NFnJg8o2i + VXyXctT6DF4v7JmWwu/FsbGB3gkgTdxpsvPwcuzsn69wOoQhD4t7mWJL9SijrpET4MvnCm3G0gFz + ecomGbaOSLiA+i57zfUA05fxJjCbtWp7KpsGWvMM0cw75569ml0g4TbQsS58/J6ZNtrBxT/tsfa5 + eW4r1/4CB5MqSJ7PPZgXkBD5uDlfsWdTmM36Y0phmHy/SAxFJ5xlZVSBxt8CFC0an01zv0vhOJca + tYGdVUt7G3x41csMe1Gy7ZfhEg7wqeoUTcOjyIZ58Bf4PKEzxVs+CVnXnSK4GySGdY7d+qkTWLqJ + DdJRlEdmNg8m78BbRDns8txDZ2MV7KD9FG0iJMUXzIKoOopyPH7I0WFxyMBNN6QkgB32NuHLZV13 + iKH/lc6IlyqrX7I35EH02Sz4V79TJbRvGBvChHZPy89IUNo2vFScSQ+n5MtetfmNoQdNSLF0qvsl + 6T8BZE9HXOv9oVPaXGzoi3cTB8BxM1JHtgM/17TAlvjo2Rj7yQSPyP/QvRHX/aLCeAAOd7DxsTut + 9W1lA1QFIKAb8pt+Opud86f+7ox0jHhkCGBjew/qvNqgnxtbu8NWNAA9HMCtmsRey+HC+Sd6JFch + IyseymInh6h4c6SfwuM7hcc8Halqgz1jn/cXwVr+ttj5Lqk+bMpvBB6chqilepjxlqsGEA3uF8UF + 4UPmHp53cBqtASnXwAFf4uQLOFskQCx9V2wOIpuD6znZfHMLvF8ctKHDYUTAXj32Az5BDiApD0jF + OYeQseoUQeVjEOypdcTGIiJvQBZgIJ0T79X8PrQN5BIrx6cr+rBlSkUBqk2WU5XvOzYWFxoD94k5 + sp1rzv12xtLCU+ocKX4BphP8ud3h9+Ij+qDWSR/fPpfIY9UAaka5HdbRtW/AwfcsGgrfRZ/9+70A + D0W28WF934oXHhyidIfmnS/oLJ1SB14jlRFhH8ghtTfpDlwaVpF4H6TZvN1AE0gZ9n7rSZ/NMpug + 2txy6tQdr9NvO6z88abY2WZhxpaiz0F9DBqyPfoVmK8PiwAS2AU1xV1RjW5hDHAKaE3tpin1gZ/5 + nTQVfkrtD47DQflCG/QHg+JTr3cuayrblHXNPOGVP9yJUZbCx7ho9HC+D2BMwkyDcV1HeB/pLzak + xw2S3k5Myc5yWn3yIkuDQibERL74aiUizmig82gmuvdKUn10vS/BOYknIo/uJ5wl6MoQXpcazR9e + BSwfjg1sY3QmLyMy9HknOwkUUPjCh2NQZ+P3hDy5vzz22Ir2gc6O+/sdeJnh4XMiPPpl68lvWI6P + mTR+UrEWzJ9YPnVlhvFtbKvx0OMBAjuKsf3c94B23wFCXr3x2HDuARPqi7qDpfexsG4VGViay8uH + Njbf1ARc7dIQPmTAnjcdR2fFdAfX2uXyijdUA06fTQNt3z98o0bQArbM56qEWXAtkCJPZkZd+dhA + XUMh1kR672empB6EVnCi1jMv3bnTpR3oG1yjeeVv8SoMSP7NF97vmmw+h7YHz5aQ4PU8XCT72MLg + k45o8Q5JyB7biww/n27AqCknNq71D2yl1DH+5hbjW/5WQgFuV/6+Hys2f58JKDu5wOrtss2G5AA9 + uLsNBj1dwdNltLk4kCejh7aX9sJmL05UYJFIJRJCtf6JIOeDsdpaZIOckC0/vLPI3cR219V6cdkn + PKy7o49+fDqCDXIk9I08ejiIcT8fP88CADuOCeu1NJxSpX0DpkQOPQZB6zZ9GHjwW7fFem7r80be + vuWd4m4IzLZ1P/Mci2H3jl2Mg+AGaPlJWjAvoUydHV9U7LwDAfzsbj41i0PhsoeQt/AkyyPZrPxL + TtTrgAAbmYjZXa2E/FmVyr7GmLrnJKuWkMQEPDg7QhwZdlk7zp0J36lord+TABH9bQO+grZQi12t + bPiNL3/iS4wl9+12zeuZQ6bEDkXo07nzyNk2VL79hjyunhkuzet5hzx5qmTYhHt92LyK5od31D3f + 82q53+2dchF1ivebsdEH7qUiyF38PYKGqlfzV5McuMWnN9VsXQDfsNjsgNgHNXYj1mXTZhRtqDRC + iaDFvdgEW5aCxgE8WnTW9VOmljtYffMDUYRWDdt0sycgCY0JH0nIwj/1D+x3SaRyX7NpkLkEvlPl + RNVDGfWsHuAi4V16xIdTbGdzeYI2PKWajuR4LwPq7GwTyrediKQg7vUFNT6BH0tF+BSKUCdz4O7A + j+/VHT2xZQ6GAEqOoqLpUDB9yiVfhYa+fZH+dZTZdNcMFQZme6SW2++zaVPaHNxHio61Bapg+xuP + x7RZKFp4Lpv3dfUH/6m7u/VsEU3VgYrpGfTCc33GwM01YVI9NQQGMruThqYc4m4b0VXv95NrJSZ8 + g61IVVvRQ9GVvh5gaKmxu+832aoP73DUjQr7t8s2pFdx4GBcaTq1nmWtL49W5GGOkgI7t7h2V/3e + QRvHE4HV5qQzrDYFZJRd0GBTGE6r/oak7HZIuLcUNCGJB/DKmivZjM0JTHpKWjifMx+BREJg5pWl + gflmLqnztYxwjhIdwsekLNiWs3e4OJ0qK3CX6URMrLiaboqN4EE19mSbKKo+D9a9hGHSfzEe30M4 + otvSwtjgJ8Jy0mcL76XeT0/RtZ7C+RZBB07TshBwipJqWsZbAZOAf1OtwkZPvmmtwkZ63LCV3YuK + vbtUhtG2Hamrcq07PYEkg3V8iHwBcTgzi8Zgi/Gb4ji+A+YBJwZdPMdU3c04Y9JFNZW60x264r07 + RteqgWw6tkjwYy3ktyzWoP1sIOHrqWHTEesBfO/kiHDj5uXSJ6lyoAekp/v3U2BzHhgEoi8yMVYg + l804zVQYXrgAnbChhlN63HiAPzUxPcYpWvHmgWD3zs9Ynao3W4xhF/30DKGNftOX/XJsoQCpiqZH + JoEW1JIDdfa5EKYnW7DIzor/z1KjuE4NtmCGW+nUBZjuN9SqZlEXbfjgVERN9WNUk49jA4q988SW + S9/h8IGjAWWwH1FZnU19tNN1/gq+pqjrYrB059kE73RzQozcGr094r6FkqSesLvOz6w/Eg0Gx3rA + xmJswXy87wm8VNCktpwZ2ZSpWgGGqOTQ+Gmz7Of/YBJwHdZNuu8Hy9trUAb6iD3baKpB7J1cWv0s + GeXlA4YCyi3kT8MdW0Z0YfxmEBLI5yYh5QaRbNUjA9RZfaGmn+hgERA0YJmmNt77ezVb/bAnq0Lf + oSh1/Wq8oz2BwuC1NInFd8j6QlKhcrsxZNFzCRZysm2w6gNqb7y8mu+oNCHXaPXIkX3Z01y8JpDn + xABVSBn0SX5PKSxBsGA73mqgm9KNAFb/RsBjHwE2lIEDu4/bIvn1xj298xcbnu7bgiih+WLjyws1 + eOXn61rvu35uvVMO501+J8sGkfAPnqmCJGBtxVO6iZYCnu5jilHw7Sty/BYljHYnjsTt+esuyXM2 + IZ97PLYXedaZerx48Oe/RC9XwnbFf+XVCxW1BS7Sp4deO3C/7BwaamPhklsZcNB4yYTMqrILGUxd + HuSQO+AD0p/VVCgggfNe44jw3mWMAHcI5GhbfrChoTZjcilOUGcPTK0QnMLx5cotRF9TJdP+Pumt + GvcdWLjgRJancA2HeYe43X0TVdiWbyWbAqvbQaqSA/aM/pYthzEhsL/UFrb1OQULqqcYzjSKMW70 + mzsD7pT86hst18YNp5SzOSB6ikcPDz4Hc22VJux4ocJIwCed+Xsa/PQLtdyxZMP1kPFg3ocONqO7 + yeanPaU/PsAmXyf68OO3VuC22DF90LerHoNK3MT0x88LRa9AaWPDxc6OV3uGt5L605Or39DBUlyn + CJytxsNeX+7B1nl0AuxicKfOiU0hUaeigF6uU7K5fOt+kOtkAvXRLigiUxay+dkReNunRwIeepyN + 7T7RZC3sCOKlj9MPbAoX+G0vIplGM6rmsBB3cPMefIq1V1rN/QGkYN6rHNXYJ65GqukI8CSWyfTm + UEU19eUrxtn3aebPNhjG6RXDJ1eHZLPizzQC0QHfi6ZhzVIC/U0WLYfD9lxSw8mjbFar0gCcEMzU + ro5nxvhk58uHQMqR8mmzcD6H7VsOGy/HCH0cty4unximcy5QM0rrkOyCeIDG4sg//NaHJ7iV8BY9 + FsKsAoBhkax/87l5HwLWhschBTC9CNjafMJwzs/vWFn1MtpKdgDYo1eFn3+hasFb+gj4hPzJnwS1 + rlzi9KUKkXQPqAXqM2DnHfNh2RWIOtKDB6P28QZ4OUwMD+JyAov/TTlZ9k4QHx48x+hvPa3/j61Q + 7LLx5S4dPMK3ik+rvpntJl7gohqA7ICRVINnSx7YeuWJbBwDZ/xCgkB55W5Lf/kGBUlJJJOmRzKv + fmcygsyQm6Sh2FD6UzXSfSfA+3nv4v2gOjrbb4o76NmUUkOqv+6Yee0bbraoxersQ3dZwlGV+yqx + 6a/eF307+HJ9dAokcUbQs2HEb6A254Rstvwum3rpEkCqhzHeg7pw52P2jeHka4ga8cCx9yGKGvjT + B1vJicLpaVoq7KvUxuotZKwTMeSBqxwPSJEXC9C+Nw2wvS83bFcuC+frHUGZ6rc71ld8YRe2fyuH + ormRtwY21TDvTAi0g8Ko5VIjXF5JQkCZBhoasaFm5P4RzX/P51QZTOwHxINL0z9QmZFzOBt5soDg + E3xQ+Tyq+pydvjHsG+uJuGAkPUvGnQ/JvrWp7khHfc1nbOD1cYLghhNArb6dHDqPe0dmNdAqUSo4 + HxbPq4iWbKBsYRfkAEkKbgRmdK8v0lFLlJ51Edpdy9RlN3pL4WZrlhhV+lNn0fL14Fi9AXUPJnJX + v9gAIa9GqsuGyn56DMD0KiARvBBbjt+igFe9e9FV34bb8hQuUHLe5I+f4/MD8kHq88mKRzu3o7eN + CdOCy6kmGg1gF26zAO/UPyjeWi998o7nNzyqWwmrJ6L0wzDZHASSmGN3cl/h4PieCgKz1OlaL3pT + 3cMBMCT31ITGl43BZU8Adwn2KELFBcxZkk9w9QfU2nwjMJceS6Evuw8CN1fDne1U9cBdXTYEQk3W + p5Yjb3ARQ0At1SHZ8s3qBaqVcMKHh2X1fCXYSPrWZYq9jO5dQQqfOZyKpKA24b0e/Phj1fdEFG8t + WAzxkMCPKdvY7rNnyPrnzofZnmqo32uuuwBvXP3i21vzoheYr3eTg2s9IbrfmRnrn1MA5WNRY8tO + V/9nC3fQSPiE3SKv3fGXD/7ynt0Pv+xNIMPWZiWKL+6zJz99teI7WjIyZ/NOLqff+395Y9hPbd6C + 8060Ebcc6n4aobiTVrykR4cJ4RynowDMySEY10kVsoM5TtAdJrbyrapvRbEtYK6YLgL8+cD4cS5N + pcpmh2wfEwCLvn0H8tZLLOzR1gzFpejvEFrFjTBOvPdLm3otkI/LTLESdu4fPdaZPvdHz675ZgA2 + 12NGPUOtquGXl6mHTqb7XtDCbbv3NegO3UgN5Tu4g9LdSyg5GxWJdwx76oupLe/uR4yD1f9PlmsH + 0IguEj0iR9P5964zoZDP0p98hvCuxEuNxZ0ReByujH5bnYd3FRyIxGlnl0x+t8BAlA7Ytuymn356 + 8sk9TljdjUM2Rlfdg/TsPcgmjiEYY99f4NtpALU+E+1pMyoFPEywx9Z1M2WEnNoSQMuxMMp9PVzH + s4QJ26So6rU0W9b8/6f/0Riae7ZofF/89Bo96be6J2N8v4M1fyVzcVuyNlO1EupadKPu0d9WC7uY + Dky0yKP2Ux8zfuoTDWbP1kb1sGgh7/ieBkDC8dhQvp675osQhhdiUrMNu2qS6chLXDtCasjoserN + ea03kuNjEB2raVOqHCgfuCbc2s+YItU3lOfJO+PceRqu+BzLAZpnJaO//H3xu5CA23n3oue2kti0 + kNSHv7xdaMOuHyu87YAv76/YA7slY+XS5PC4cc+IK5NvttjLPQevU++jZeHKbEmKWy6zZ6avLBRm + BGq7GI6HFyHbW3cNa1TRGPaVryEB2h6bUpvLoRZOPBJVh4RExLwAf/jIuQiywT4dl19eSw2iBmy6 + 73UfkHLh/vQvfnoOOCcjWdf7UJH6+YBQTMs91k327v/kDfWtXBCAD8QoK70G/PK0c0TEfmJEbmF/ + oSfqRXGkT1ddJlAPmpoiF90Z26u2DN89vtFfnrek7+gOo1rF2FR7q1r2S6f+yfcFP1LZcmTbN3iq + IaD7wx5kw/q/inLL2E9f96PRmRyU06OODc0zAWsq1VRMmhzxMW9E/ac/4LdOo59/zcTXtOZ95KH+ + +KSfTk4QQyk7eUhc/daaryE4asIVbRzV++FRDsuuRNg51IcV78YF3Jb+QM2kIdnYm9kED6HbIcWq + Rp1Obd6Bh39C9Kc3xSk/vmFkWTbiz4qps/l7TcA0FQ09PKaMjV5Rm/ASv65/8mFy/Y4L3N3DCyGo + +uhsc0llqIWyTC0qX91l8stJofOwxZq7YdVUabEA8a7EKLmWqc4eQtxB2cOQvHaBWNG8/yIgZMQn + VMEfffzudysfei1224H+O+8fQ+9L13zJnYtjsgCefMyfv+/X+/cfH5LdtVH0eTHJW86CU0rVYtfp + XR2ptiJk8E6NMhSqPtnVa/+h70iw5lGTnn1S8Ovv/fhr9orRBGurDQk7tQF/8uXP8fMkfdv07sId + Uu+nb7CrcvaaR7c5DJv4TfdrHix2XT38+IbiRpf0pcwCDvYHk+I1L+uXkOQDeKp7Sk+NUverP+3k + J7lYaOJ75w8/yut6XP3xrlr9SQqcR/zGqEw7QBvykH9+4A9fz4VzLmFGJ0Qv8FXoM7M+EfzWXYGN + HLNqQfUuljB4LBgtfB6OC0gGSF/5F9FzXfYL/pxzRRxFAf+Zv/zZF0BpuBbvi6sPSB8ub3DMO4ns + wvv2l/fJ4CxZEZq+2rmaQD3bMDC7I8bKue1ZQ4QAGqXKUz1tG0DLheSQhoBHonizwXyKd4nS2nOJ + MfIuGeFjcwf97+xiC29tNgvimj+akYO1TTBn7NEVuXK+cjmZTvsmo1L8RQBa/ok+VFNx25Mjk18e + huZ+p7NFnVRHnjTLItvxBfQp25QGbJumwpbhL2zhzJSDT3La031kvdmMknn343cyjc61F99dIEPo + WB2CFlSzrV3HGuSS0xvr5eSBlQ86uOpV+lzXH73wWiTVnetTvOerkGGVlHCzjQj+9RPmW8Tb8Lqs + /XdRmMAfPf73b1fAf/7jr7/+z2+HQdM+8nrdGDDm8/jP/9oq8M/0kf6T54V/UuHPTgQypEX+97/+ + vQnh72/fNt/x/47tO/8Mf//rL+HPboO/x3ZM6/92+R/rt/7zH/8PAAD//wMAK+GH5OEgAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfcbbd7fb02274-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:21:04 GMT + Function-Execution-Id: + - pbme9l6q6fyb + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '1219' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 4decc7240f714a1a6b1e4c57136ffc0f + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - b844d587eac449c8f5ef8515c53c2549 + status: + code: 200 + message: OK +- request: + body: '{"input": "a series of four numbers, \"2314\".", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '112' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RWS9OyvJadn1/x1Du1q0REsvlm3EUuiYqi9AgQLyCiQBLI+fOnfN7q7upJBjsr + 2cm+rL3+/a+fnz9tXpXF8Oefnz/PRz/8+a+v7ZIN2Z9/fv77Xz8/Pz///l3/H7Js8vJyebxuv/Df + zcfrUo5//vmR/tfyf6B/fv7IU2dTuTYqNATEOMNlxbbMTPtXN3k056h3SsTCW+oh2TqOmaanU0M7 + 114ILntKgd6aNWe6FrTxoCyzBKYxdjG3tTp/r1qkwpieFGK+cguJs+RR4On7iMfDqsypBPCAz25z + JB6So2CMcxujyagrKnjTWJPxOM+guRQti4JLLui58BOg2ZawgwVWwONdvUVamtgUHZmRL464buHZ + PJYY8t6o5Jw8Jhi0s0eV4eHk7BJ2PuyHw56OknQTQl5JKtz7bM0MMM1Kiq7pR+WJRXF9adr8U2TS + AwJ4vfByZ7iWmAoMaN3mEZ4eKe5G7dW48PSOSzyspDsSshdn0PDYoZd0dc0nMn/44LzNNdP3/a2a + jK6T0Z3SBVl7NcTTTNkW8JAWBXEedpVTOek5JE//wHR3nef8ExxbZA6xQanMejFKBrLRRsN3Zu2e + Wt7ONEMFv/ZiYvqJn0+fo9nC931k3T1r1G9fSQ+X0jeJ8947Fk2jSkWF1h6wCGaQt3bn+SjNLwFe + OVsUi+VZoRAuP5Rq6fsR0Cc1ONxxtKYLv/lU75MZuRCmV8o8W0Wi/z3//HgliQwZBUw7lBhmqf4i + STmnsYCNXWqfmZGTIG/m+bBcxOVqNc9ndMp2ccDXW9OHGSs/WIqXgRAUzw4Qz5c75u1nTTzx9WWL + NvOK0NlVnnfjzqcqAAps5qh9bC0Pn/l59XphmVhvK7GmzdNTwQxFTOzhPgajz6Ma0hER5tgf1I1Y + K0MEipwQl5FnPuzrk412R1UQJ5PvFSdFCHAhwRJPxNrlk6uiBET0Lom/zy85O25QCNSSQrrni71F + bfauwfkYgGVldhdC9vIMRiYQXryXvBOY7RS4H94B8c2FifiB33TtubUlYgUziD+uig5otREuXZbc + zIV0UGdw0p4tM3fkgnh2OITI2e0C4taGJcYm5DcYCjWjo6/W3cQm3kBhuYC56jysv/e7ZTsnTnEx + O2nxhhYMvT8TPU/XldBDzVMXrSIz50h0MXbPTEH26aaRYOMXgdDG2J0788Jn5Yb5FQf7MkOnLXsQ + P1FelmCDakMZSU+2+Vy2Oa/jZQm2PEy0bmKS01W1OKtuIFXM+PY3N87VDEqjiIj+yZJunBllsjp/ + rox4oDw6PkrHA8zNeI3ZTEmrUdGfWxQ9wvW3Xq7xlGRBCSyqU7azUz8QYe35cMluORV07ljiqls1 + aoTaE5e8d4FII2UGYjdJJAqvu3jKXoUN76tn4aKYSfmYk0u/0kzVoOMR953gWy2EeXEYSbBQ74G4 + pWhSu3oeMVsrVmLY8tkHBhJ5+BdP41CVEFGsLVWX7T6eoqwN1fv+cKHaS3ujL6hFbBW86F1143yQ + tukDXbTDkpmPlFZDH70bsETekkDpVtZkz3QdbRepgzmuHUsGedeg/fGVYO1ekFjctq0CQ7oXBF+b + R9yj+15Cs9R8kXDAQd6/2/0DMWqv2Wm9f3f0LkoFynr/pov3/hlM7OrW0Ailx2ilv+KGzD8ejIaq + /62v/ptfeAQNkGC2T8WIP7yEk9OaxFF7EdCwEq42PzOfGdbpUAk1TD2YL547OveaWnQevUnArAej + 81mMLRHEHwnW8d7CSxxcgglL50wl6LNk+s3Fon/NwhkC7Tox5+lvqvG5JDVg4kbsrz/JJQVEObeI + 7ll+xZMhT2CTnR0WXQ5C0GnPdFj3poSnV16hsaPPCW6LIiG+YbCY4Rsq4EHCiq35clkxvv4ksBc8 + IYYk3RDVvZYDK3Y3isqizTk3hQyK7WM6OnGFhuGVchCH9YOttV4NuiQ732B7WJ3Y+hTt45H6hYJ4 + NsNEVx0zEAaWdGDpbMKreUbz3nlKDXI748w2cPjOQ2JRsNqDx8JL/Kim4PxOwD08j2yTr2NrAltx + oSvvG3orr4MYD5fAhXu3xsy6LA65MM5YResNPjN/XC8F35Eh+xufmH5kNPGjoCDt+Za4p7Hvxu/8 + Q9Myyoljf/JucPA5QYGm3rBkme+YL5TYhjrcIto7i40Q294J4bIatsR00VH0s6DN4MtHxDWJZXEh + H0Lt1JYlwUoyoEG2VgD3ZL4itsT2YsEzNUT5ytoRgiaR04W4t2gvr22G36ofC8QOGPK1qZNY5yoa + uKWrv/6Zs5P6fLKu4RbNj+uKGVEH1bQOzj365U/hKXI8hu2qRiTfbIgdJbtY3EUFmn4LPwSzexdM + zmYnQ+h2e+LPZMkSrG1u6NuvzPYOYPXDK+xRZ1+vZL1Y9eI7jz2QpJ2g80TfC16pawzffie4jjfd + +Mk2Pohp/yCbfC0s3j0jGRJXO3z55mnRWzltgZHVmgSe7li8PO9AuyvTjcoufCxaX/oSsk0bEM9W + c8HbizeBE/o6sTYTtwbjESi/9UX8sWgs8R42OlwR9YixfJ67oaMDB2lR93g+U1YVvayULSJFaTLf + b3kgtpeGQ1+/OQvc1A44uyr0738UK86Q+GxDD47TYs7M+1US71FbbGFeJCNWT5ep4463pCgy+pSE + kRV0/UKQG3puXYmR8z2qJidfNkDwxPFD0aJKMDjfIDm0DVXExrV6Bc4y+pRSw9y5T60J5n0Jr3dV + M+ssrtZ4jHmo5rftjUVz9xB/+UCGoJJksj8FPerW5zkgfXGSqKQmcVdhliqqoXQzyvC0Cybda6df + PUDf8cFB4+r61mHE+zN+q+dVwG5tFgLrR0zseNkJIZBPYbmVbIZtbyP4dSNu2q++8pXPC/WPk+3D + M+5zthbDLZ6ucteAF5A3VdyNhXhSewVk3nFPgjaokQiKRQ+CFQ4J0N0Qk9FVEszPg09H85Kh3p3X + /G+8BZae+Xh0dhxUnuYEG2ZVjY9b7cJQJSXbONs85rmjcXjvygnTDft004t7HwgtoyMkltx8lNL6 + DPyUvOjlq2/5a31S0S59ZMRIUVyJq6x8QDNeHlYOz3U+SUFswldvY3Wfa/Fg+vsG7M2yo4LvToJ/ + 8wlVEF/p/cRelsA39M3PvWamixaILl++i9hq8yLe4qOj5a3dY0jEMmffeg6kZcNAXTSNx3T1M1R8 + TrsSvVzmMZLoE5qOeKSaHAx7Esa1GywSWWzRN17M3mtTIGqfPOA7/+niYmKLi2FzgLSONBJ4z23F + Xp3pA7XkkBhs6nJavLMZ5Od7hZGb2hbf07sHS66vyDWHOxrnufuAJj7P2FefWJO8ekkQFULBsR6w + WMyTi4uO3dn98v2pmooMbqr0xvGvvkHjJjJvsMOBjDXLqQJ+dxsJiqr5MOJ+jtVkxNMDslIcSTBM + z4q7Ns+0RpslzAmCJBjdMc/Ql48JodbSGondUkSG+ZNEzo51zByXLvJrP6bLm7kIxq+eBMOfTDzv + ln7Fi+swQ6vXzGV4284s/ng+amBRkzI9T1+dQM3mAIp2Hkg07XaCPyf0P/nYDn0wRdkNQzVXH1RC + i7MYC7or0YFLlFmGs7H63FlMQFmasgieKeKr/wAAAP//TJpbr4LI0obv51dM5pZMREC62HecRI7d + KIqs5MsXUDwgigLdQCf7v+/gmuzsWxM1ge6q532qLokA6uvzplyht5Z77tbREhddsYK2RiU/SOHA + G3Sf/fJu/CopPLdOTPlSUVr+8Dd3+N5vz5dP1kAzukN1anlEt1KrGN5NfgVDeQtYuud3/jxNtQhZ + LSXMCavW4lbAUjDYKiTe2TKTZX4WXTDfbY7F68ay+POiZGDJBiHhubrw5hzpIZC74hDXStT5Puol + EDPPsDbnqXdkviUUZf6J6aKXBJOctQ1Cjlziraw6iGojNpUz0j2yf4h+QM9hakN0GpXv+7Co2d8p + XG9Hg4Wc1WhcP71G9SpXJutL5VajlF46eG7Mmg5ZcmtZ5w4+XKSxIXM/akdbvDqafA5PDD9FO2Cn + aVLhgiUDL2i2LsbGayWAl8GoSd911UOkqUjd+Iis9+rUTv0i9kF9WCblGV9YTEpXItx26Zms/adf + Lam/V5CNh4AECZ+CUVCsDHR1t2eOfLzypl+2LqyX2ZWkkqsgzi7J55fnjQPuKro/Zz6kZRezXdNL + FXtWcgcyb64YxFMf9NsyVuDQU5EFmwpZY0C8XM3d4w6LafZsx354NCAyt2GmiTGfXiIRIIk/Z2LS + vVw8EFvt4D5dKVmbJQvGdHxRmOsHM33jZHXHTfCAtXv9wf2iuLd8ebUpCs+bA+a8C4PBeJk5fHkY + fXl3E2QUoADCzO2jC7op+XGhg7xjDrHrinfW4wnb5LFmm3K4F+Mo3nPUHzWVrC1LrTioNQCmiUn3 + rZ4Wv/xkB/6DuWKRIfbtL8qF9CyY+W4+bzksiJARR6jNSsRcitFcX/CUSkLVeTtP/+YpNvMhn/p7 + sgN/tT0T3dbsYhl4mogOydtn0bGfUKftUQyRQX9YeBLEhA4H1K3mvEj5Vh9Rp8baHQ3dZcTTwvvh + 47QQfSg2uk7wz3qDRq1bfZDsZzqJd3BGnByvD9QbN5m4RRsVfCenAPedobNQ80SrjyUzhF7yVUYE + ZdV2F4/fARflkzifaAj6tRdOgNSgYV5+f1X9EBaT6gJZk2D2IXRZKHsQXVrP/eKc8OZUdSAGRkJs + HLcB08bCAWeaDnRlvdWCf2Lbh+p9uhCP+8eCKYgPkLkQsnBpKFX/YvwJi9y0iEV+BjQd4+EJyAxN + Fn/zp9+uQsBrvSLB+Y7bKc2tE5Ai8OhoC8uK2oJuagqsRWJulqyi3dG4Aq0Mgxmqw5NeIDCBEXCZ + Lkj3Qf2NmVe064wf5r2rtPrWs99+pwTDo6U7bj7h0Q1vqo1HxWLLOovBt5qaneXkFcz+avqtn9e5 + 3k7UvwFkjWfQpVmSYPZLgOpod2T29z5w6R2DMpoHtv6BFx/EOCwRSw8Bi3atVk3ZydxDAR+FhPBo + KhrlDVZnn8SyOn8jqvjrEG7kqjNLK9x23E3aHa5R1NLSXcZoTAQSIzs67+jwzcPV6OVgpqJA0p0f + cA6L8a5dqkVIpXciFYO/tB1ganllnvVWk8/qrQvAB+1NPxf93rLO6h4gRWZAc+WzQQPVAVB7/1zw + bRRk1MeSj5XGtjVy7dBYdDtZ1JEeZRE5Ohoq6AGvOlCHoiB2PlwKFpXwRHV3Dom/iVBLvctyD/tP + 9sFPYq+rwdsZOhxfQY37bl23/C0VKjwOVs+il+bxQXTGJxBjfWHk+vaCL78g//STEme4ZUF33ogf + qPDKIfah7PhASZKhQ0Qc9q1nbcme+OvTiBNiQNPX37VAPUKoNvBffgy1l0VcfIOquUerGM3vn5mp + JLTjJ7h3gM7Jbc5n94A1SSbBN29as08crPwjgSo4HcPGi1hfn6IZt9Bha8vK22lZWyGQTCyItT3o + Ftete/ztd8S7fyprjLbuDk7r4kP3E86stnb0UJv9A9Mb7Be02y4BYrnn3/taffOsetIHzIzk1Vbj + TTnn8IonzqLC3SSi+HPZq8Kpwcx8v4Zkzi938OK0mL//007XuJBg+ao1Fk1PPZAFQzmBdJFeWKlz + D43hZJ/AErsbswczQEPGcoxm/zbzwdsal8rVBc9TjmxD29biw0xx3nsTMiO/XoJ6376vcDHcgfh3 + x0XcWRCKbgew6fS8+dZ43MSNVm9SkwQXI+Gf56Xag+uqiDnH0LCGIXQodJYfESz5t4RZAdujMsfC + L2//8vEytXNC6jQO5LQ8St/fJ9nhYlhD+9nm2uzfGNHovX19nDFGpTUhhr38lIwu38Vozi9kvT9s + gmGNgx38LJ5XYs282x+DCyDXeUSsKFBftYNZDkixXcycjJsB3+4TBc15jRldVxeDq2QDyIk/0UVf + tu1kYCrAOVVFvK9phab90jghYXU/sGjsnslYueqArm3Wsl3ntsHswwCFckMJwVHdjtmnoL/8kh0u + t4BPO3C+fIkFj/mtKnBbgYtYqlSS3Ax16ip00ZzP6AN2JpfO23cDn3r3oTIOtKBzpB8FYnxJKEkP + RjAs3/BBX56RVlVfdLa5uiI9kbbEl5spGa3DY49ei8WLuC2yiwF/2mx1UnoRK30kW938fOFu3Hb4 + Pvp6Mog/xxRmtYpXj+3Daue8DJvLpyCeebGKvkySEs3zADyOwpE/isDbg07RQL+8Nxhk6yDxYAuY + 9WVQ/frr2eczv8kHPr3teg8nfcLMWia9xdml+MA68pZUrt9LNHrFFaBxipYq4rCxxCSXXRiPlk8H + 9HgVLP/xKcqf1x07zfl02F19Cn0qrGceO7XT/Tq6qInPKR66dM3ZZaxt0O6OxIz927Dkmd9QlyVH + hrfyM6DssfO14xjFGNHjaFGv1lX4WTyuJJ/74bT1kQCGqN9ZGGxg9s2HHWyxJ80+z+O8VXYT0vLD + imwEo0mG/d17ICkpCQsOC6Hq0oZMoCnXFdmUg5n0m8BqNJ2uBjL7I+uz9Tmg10c8E6J7RfC9T9C6 + a4cdZh9Nkw2LgWM4EhzG64Rnx0BE952lE98VoRp3imHDW0iV2f8c0XiR0itkA+LE2tbnpJWzoUOn + ezIyc1E2AdeFskHtRTTJdn5/fP9UHDCOfsGs461LJl9Y2bBlwpltpFIpZONZ79GYpRaJHrLFRfl8 + cNBcL0gat892YFN6gvWi9Jk9VU4im7LZoGeSC8wYf8Jk4OVdXc15vY8Degp4a9QUXdu8/fUhH7AH + WxtSg+LJ2C+DMcoLF27krrN1tKmL4UTDHG0D2WXYvLmcPp7yHtQf7Ui5cLgn3N5cdaB6WP/Op8b3 + OJWQNYGB0fNh8UHdfBo093eiz+fnt/5THddfnkXjZ798QjMsbNylByFg5dktITYdRKLbiRVz3vS1 + 57Bd0+XiJ7em9VHZfedVdKFsDD6tqmUO6sMwiSOdX3OeNfbgBFLFSMVYwAwMJuJNKDOreL8Qo3tD + VeuPX5L1q30E/ID2HXhaeCOWNO2SjthJ81sPcayFhbh18issUPVk0c/btKbV2xVgJeQe8yWqVF1t + /HTo6G9LNvvfgmuNHsI7DlZYlajSvp+plYEYpuE/8ylX5h2M/SViRuRsrSkerU7jS8UjG69Mg+Ey + +b88itHF4Jxlx0CCaJ3qLGglqWjju5rC9/45iu0G8nwegRibC+abZ9WO6DNNyORsjT+rx63i0eFN + f/PdzuRqwgcznYAZoUF2IwuQLO4nAeRawyxaiQaa/f8elq+XRl+1YFtDjHQKVrd4MM+aJ3+tEnXQ + O6cjITHVi2HY7nbw9Z/GOql4f7ogE4Lb3aX3h86qYd/uS6hTw8Ozj0ZtPogm4KO4YMai3wejVhYh + XI5PTgfX8tuv30TSetCYbZlewm3zVK4i+bglVsmwNd60q4CCp/fAy9X0k0zOkk3osesWLMAjcDoK + ZgqP9jwwL+rrgA9mOUEPa0L0fhkEXB4+Oqzf+oYVT7KsJtVcYSSvz1ey2T637SDI0h7N5wff5Fqp + WvDCExx3ZoEhOPmttKq0DJl+WbNAn6pkPJqRDd2jHfDSylw0+/wnchZuj6eLwtF3/goXezgS73X8 + BP2POupwzu8Fs7/95RonEvJzp8FNMDyqcak0LuSxQ4hjqHtEZz+Pmif6YXh0u2AqyGf69gviGAev + mGwFTgjW15CY6dNIxCVzMUQqKBgJuxWa/FV9B0XLe6ZbiPKx7sVOxTf1w771pDNukgiVCyOZ600y + 8fEzoDlvEvfgT6i2Dt3+O9/Fsvs4FfxUGE/t67MTdFkV/eLdAby0z4ps5vnGOD4tYfVI0yednwcX + 9yJLUVjmmMz8Xg3uW02Byn6KpW2tF/x4CEF1F1LH1mOut5MJhq+tnm309Q/z/OMA2qRc92S9iiI0 + CM5JhPAWtsSa8zrPf8zu1x9BXF4Dqoo5hWwKO2Lk8Q196I+eI5Q1a7Yj1pjwkQ3CclnKAb0Py8ka + /adKwW02AzO1hcm/9UjdRq5BDurm1bZpeRRVYvcO84/TFfVz/kDu2YzZl8ckL/2UMM/zGCZpUIi7 + q0khtKwWr+Z81m4yWYC9xC1GSpcmw2RPHeLH3mOH+fwO1zyWNKQjjw7OpkgGaVa4xZptqLi0jWDa + GjdH++u7FfDvP/788/++GwbP5lzW82JAX4793/9dFfg7P+d/i6L0N5N+NxFol1/Lv/71zxLCX++2 + eb77/++bR/nq/vrXn8t/1g3+6ps+r//38z/mf/v3H/8BAAD//wMAz7LCz+MgAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfcbc95b7df222-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:21:04 GMT + Function-Execution-Id: + - pbme78psn76u + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '70' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 7b3aeeee5e3b212f52c48ef9748c385c + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 65f5b07aff01746ac5a824644cd2e8bf + status: + code: 200 + message: OK +version: 1 diff --git a/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml b/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml new file mode 100644 index 00000000000..b79a6486efe --- /dev/null +++ b/tests/integration/memory/cassettes/test_json_file_memory/test_json_memory_get_relevant.yaml @@ -0,0 +1,2672 @@ +interactions: +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Sample text\"\"\"\n\n\nCONCISE + SUMMARY: The text is best summarized as"}], "temperature": 0, "max_tokens": + 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '252' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOQUvDQBQG7/4K+c6bkBCT1j1XRYSA9SRWymbz2qwm+5bsK5SG/HcJqL0OzDAT + XAsN2xmxQ+iT1cu935ptWUfTvj4cno3d1E+Pl0uV1+8NFLj5Iiu/Rmp5CD2JYw8FO5IRaqHzal1m + xbpcFQoDt9RD4xgkKdIykdPYcJIVWQ6FUzRHgp4QRh6C7IW/yUfoolK4pv/xnYKwmP4KslnBduws + ReiPCQPFv+TIPUHDxOiiGC/LIHshv8zv8GaW/K3QWdIdMCscnHex249kIntoROEABedbOkNn8+d8 + 8wMAAP//AwADaRSQLQEAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4adcfe613ec-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:14 GMT + Function-Execution-Id: + - yvvl5lovloye + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '754' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 592e9151aebda45ed59a9ad565a24324;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '89466' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 356ms + X-Request-Id: + - 7e69598f8d9d0bc01b752e4a0b05fa0d + status: + code: 200 + message: OK +- request: + body: '{"input": ["Sample text"], "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '90' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWQ+zvJal78+v+PTd0kcBkuDNuWMKYbQZMkCr1QoZSEhIwmADLtV/b5H3qLrq + JlIIUjDeXnutx/6Pf/z119+forqe+7//9dffr0fX//2/5muXU3/6+19//e9//PXXX3/9x+/zf9x5 + rYvr5fJ4l7/bfz8+3pfr+Pe//hL/68r/v+lff/3tJ8svlV+lXVErX4hr86DtGZaqBPGXTM4QWJct + s1/uuu0vFk4A2lFgeIV35sSNKVDv9kVllpCZ/rjpGwtlO8ci2rmTUy7XSbCWZeIRLCirli3MM0b7 + PfhML9vU77yaOzCpzgOPsfou+GDZA7CrHDJHua5Qv45FCvbHrQjWvhQNGcoSWCcSZ3jbaQUv3CiA + nTFe2MY28nYSat1Rq3y5/z1v1V9uJwv2z/uR+A/liKZFfTJgWXzvzC49K+2bLCnR/uaHVPLMizko + 1k2D91o6kHBEpj/4MRzQN9QsFiz2qfldv60TbBdhRnDKGj7hNw1QGdoRC4TjvXjbffNAephwWo63 + O2KW8T1Bp9Vbps/j+zLxLkIpFwyrq0+bcjtLRNh+l4QuHgVBg2IdNbQdPiExNL9GU+fbDvgfMmF5 + v2mrfpOdMliJQc7O7+jedjsqRLC5BDXxZU30W0r3ETwPxCZ69Pm0HEumAg4qETFu6ZeP2w/p0Jb5 + HgnM7FJMW+mVwcUtMZVraZPKlmQ2QKiyYyGL7uh9ML5n1O2FiDl+sm2ZXi4aUGrjToLypVV8k+kC + rPKrTSwhq0xO3a8HmZiURGtzoWC26XtwYmmDl9Y3TCczp6BM0/XK7O+98Tm86xoJzD/QdUDkdJqM + +05tfK5QNSlIym3TdGBzVFpmfV/LdmijlQDv3WlBlRgZqZzXrgam1gQk1E3bHA99noAYFicSViL4 + v/cJJ9mTWfgJo2Jw0AhQeKZK9PU2bsdHua8BkpISMrpFxadbdUZrt34wa9Hf+RD2uQHvsrZJeBKr + ontklQMPMROwhIuw7epbvoKitwmWniGupoUkX8Gj8oa5JH6mPMjfAXSLmBJn88oKjozvE4510ROi + q006LNDkge2YWyyH1scfev9aQxIt9uS33kbZP4iQtG3OsJe9zPHzvgSQFG+faKfs4Y9Ln1F4G0hl + ni271XCBdPjNH9nGpoWGY/QxYL3Ybim9jSPqdHcMYBBvhCrlF5tjCr4F/uXek2BCRTudwTwspLI5 + Mkf0LN7ujayGaPgQsg+okE6b18oC/dH7WNF8p+XoOEZIWq/fzF4k25Rn6tZAEnN3bF4/5vS5VRgS + DW3pWrIZp/6xNODj7zKs7lyj4H5+2MFCo2/mj4uhGvlr0KBE4wqL55AWTe2uJ3CjRUpRsuxTniCl + Af74Osze7seKunXToftqU5CLKvQV9d/BFV3dbsVsnNt89G66A9LuFrGNZ6o+7dD3g3ymMUbW3s1k + phGVsPH7J3Hkyz4tlXxZK5cw35Pt+tGjLxUjAVarTUl86FaoaaLyAUXxDvFKkd10WYjaVfXzpsbi + C91NHpcXAX2X8ovoWNm3PImNEwxuQ/GiGnA1BMfhqpyn1iTGs2Gc5+pNAdDNjhijtU2HY1Qa6jq8 + fVkgxldzUlEmgkA0hfjdlxY8rk82CC5d/PSM80wlBir9N2Z6v/HaUarz4bf+mKVvfF+k5cJBC3f9 + xamcPfhwMz4iPK5QE/MWm3/qB9Urt6HiQf6kDbyGBB6LrUG2G6Ezh7GPPciH2iTaa9Okw0HyE5Dl + 0CNG/EyrCW6ig3YfItKJ6vuKl17RAckfPtMeRtZ2bpzUcLxvJzouR+bzdbey4fRdMGaORlm9lVh1 + FLl2gGz226ToQ8k/w2cQBeJt7g3/ip5qoVNEb8TcOFLapGJsw+KWTsza2LjtVuK9AdbnOXNr/Wj2 + zB2falc2e7ZZJltzet9OB4U4uku0UPDa0RUzEaY6PjIHg+CPRHoFUL7FihF6kdHrV39BSc9su4i0 + djnPjzLXE9EFySqGm1HK6lcuRiqt66Lg255nUK+bDqPFMUd8QYMr2pdNxBzhdi6mvefVoG9hRbQq + O/Fhri8Y3A/F68UkFr17XSWKL2ZrpkUNSf/0s9/8m9/3tRhqy7bhsjA45ZZntlNwXK3QWlI2f/oj + /xhRAxfxwMj2ZJz8YUVfJQhDk8/6Nlb9PB71TQyJzHprct1ngLwwkYjnBIHPOXI8pbftjvhV/ESf + MHMPkK/5huiPzCg+iRh9YGudVnRSzHPFhZ4/QUKHAk9DJ/PR6vMAsK4/iFvtk2LIpN5Ai3KQ2OmK + CpO+3I8CEvN3mH/i8zwfyQ7ebeSxTH+KiIe3agerBztioZGbaqRiJkD9GO94mPWtu7+FDiWHNMJC + aNop/emP1dsec5djhMZXjc7osTsMxOhNk4sXKAaFH1cSI9I9MMdHrcngRMOXmMv+XrEsO63gGxoW + 0d/0WQ1uuTQg9M+UHCSkV/SE7jV4/dEkzuDe04GCIcC1/CRkW+UL/pHNLoNFkbXEm/RjwZS3JYIV + IYva/aOvaIuyCZIkc/E1MYqKD7dTjdbrMcBIMApz6GJdRGznuOTyDDo+vo0sUOpJYrQ/XQ5p/6tP + d3pUzLgIvjnRuPCgZYbMglF1EXevKwrV8/3BpRUt+WTXjqDglovE0erKpIs60eCbnDDdZYHHRyOG + BzpMJ4+ZC/Zph0eyXMHx4pxJaGQWf2WmMaDjdkjZtZa25jRl7mpdRZ+U+Y73SulwLD14beUnva0f + pJ3KPi6hUYuMeM1RQ3Qn3gHO66vGDDT4aPDk2xMZN63/07/6jbGWwdQ+AbkdslcxgjEZsLpOOkYX + ZFRUkPoaXVahTGb9b8tlHghInnYm5fp2nJ9fLIH2AWP2+rmrvoz2HSxs7UFcP9I4f5XLCTrx3dDh + pO9NvjB3gWpTKMk5vj3TT1Y7NbLat4PZxzXQrH8yLA72wELzIFd9Kt9klLOthlnaP/3+dnsAXJlP + 8EKLCpN7pjRBOGUOcy+LyB+C904B/FZ6Zl0eoTk8rysHjGQtESu8GVXf9sj602+suX+1Dg0i2KhH + gz63I2ung5deQReTgoRaK1V90zcBDMl6gRfNmaec3XQKaVJzKsalbTJ0HBM4olEmluOW6ZRH4w5G + f3ciOnhVwfANMDI+qUA/p6zi48LsGng96iUje7Ou3o9aT8BgNiL4cr0X8/OvkNVbHjGWGSq6e5ZE + IDxvCdMf2ohm/26j90vRmf0q67azvEqGJsSUOQux8Idbn9vQR/KCLg/52x/jOm+Qv7BVLDquVvQX + KjzQz+9o1/xVjXavADKe2ZJ+6cn3uVS7Bwi+6IqF+81C7RJNE2A1kolNjlk72Shr4NA+BOJuqrhi + 7OZ260V7XeNF59Upv4pNgH7+b3nQD+1w9FoFAu2p4eUiKtse9XGGdKNRmXPVZd7tclojXF/WzHTL + FxpyP/yg55s6GLT+nA5vz8OKLigxM8/1wxxM7ySguZ4x19zSbG8it5BzsJ+UdZ6ddvP40QJV21nv + 17w81yiActttMVBl5XOl1wBkkg5zPznwaUV7gKA4JHQYHZGPeyPzYCM6GtvkjsSbU50rwI2yY5tn + SKshvTkCBFqtsS0+ar7M++YKxDFdul6592qo8/2EDMd/0DWJn8Xw8VIL4aN4I3qxC/0pBEmBaL2M + 2TZqxYI965ODSjXomJks22qY+6WSfcuQ6Vmy8On8/0rX7nLmhk/J51mWrGDUPgdMh3CouGlkJdoX + kU2Sr1EW37u0y5AiW4zgIRxaNnnptCLr5o0XnK/9ocrAQGaOzrg/nBNES2NyQPO/e6K/zKodTrE7 + KOQq2kRPUG4OeXnZof3QXSmXMwOxbc9PgFT7gFdm/PQHtXY6SA5xxEhuef5nHq/67DWTBLFzLLia + pQaYET0Rq4syNDQoOkBS76/MOXeZPy7rpgHL9kYKrj0Ug+EZFqQr05vra6ymnTt2UD+jirneOuVD + i74BwoeixXXQHVs69XGtBLV2JJoib1uq5wcb5vxCTCw7Ph/o0gB83wzM3z9oNY6iQkG2LUowoe9i + /OXFWW/oevfxioGbxkcNl1OMYee7Zn/sHw7s1JdKr9oXozHLkjOsJv5i5ub2KKZCJgG8rcNIAvda + IhaXe4BbcZ6I09usGub8h+b+xKKm6CoaZVUJBzmN8cvdtAUPPG9CoytlrNBcnUtV7Blo7tf4NcIT + TWq5MdDGeDx++mZOijgJIJS1T/Q63/CprXVbMYfpQx/562iOW7Oo0fpSLal4FBXzHtweKzXf7SjD + /uHAJ4PKH2VzwfVPP/0pvbkZOhvl+9/1p7sjVrWjfGbOfkHQeAC1g/l3on3tntPJ+B6Q9chsZvYL + ivo7ikpUrz8d0f3YaLmM7goIkrCjwrf8FK2fXw9gX5WE/ep/wNkJK+G7M1mhZFa7TND0UYiYXAkx + k6/J1ffijAZjOTJjtN7p1ERlqcYRvTCyFM/V8DSfB3RW91vK5jw++uK3A129Xej6tqOcrsQ8gFq9 + c+bja15MgvSq4fk4hcwWcZKO77d1UE67d02n8tsVzHfHFWyKccJCMeCUd1krA38vTKJn387vl+Bj + 1PfGBrNt2rU86x81GDejx0O661B/zamIgnwZzbyjLEa15x6Ux2E/55GMszvSbPQ9xHtGnC/x6fM6 + 1LDPlwleXk9exYNbcoW4yO54+XTv5hCZxQnqacloV4aRSX/+WBCrkpn31zGl2/JCgdNJY8a83qcQ + 1H/7BS+N7v74fVMbXktVo4/FSIrlnPegOIQWs8Lbo2KzPkP2xAnx71D74ymD4MdLmP6mVvUnnz/l + eMesd1wVtJHODbIOeIHv/carBkOcDqBotTfnZyuV9fxqIbZdGHShRcgcN6pdgsEsRJXX+4bY8U3P + qL8dgYIYC2YvlZcPuudnnW38DKHxx1tM4rtUzL1zO+ZZtUOraXwRq14nfETJ5vlHj+O5voaupAlS + LS9gBB/vfAqNb6BcDBYz2z9I5iBfVxjNfoC+Vh+35ULWruB0ME7MEM5D1cZ1YsHxcLwxvdalor+j + 7AHZVlApWvZmIW99bCBZoy9GIBzQcE/exto3eIHRO/mk3IxFAey8PjKiv3LE7f5RAlyC6Y/+TF25 + l+GSbU7MnP00f8XFDp5krzBXuOzboSmDEqpc2hPjGD/QGIjTU3VytSV0CKN2PGXizMv4hZgNXMzv + slxmyly/xM2+PaKBkR2U8m7WeDGWTjXmZvoB/SqbOKYnt6CsRh3E6KHShynm7bBFd1ud64NpXztE + Eok+gTLzDYrm9UGdOpfR7MeJ9zUMn1vJRkbkwc94Zb3rivc0yMAwlm8KZNqh3/uGWHZEQo6H5ewv + 4g8U0zUnPjocUs6R5qgXo4+Jx2ldTYZ4V+D8BoEZvnTxh7VnJIi+FREPVaZwBn0uQ1Q+debM/qiX + 0P0K+lZY0eecd7kJfQAbdW8Q114NRfOmwgALf3fBw40+i2mXXx107HFDl/V5rIby/ZLhhiqNbI/H + FWI/nlNOjw/78bZhf2soKqNFRtdGeeOsEJ0zKlXcMbfqDd7bpkcheVyPzE5OXjqk4rdEsBW/xMXK + Mh2u0DWwdTtOdJLYJhdM/wDQxxpz4vei4J9YtdBeNnKqdi8N8Rr8J4r9Q8q8SV8WMz87QLNd8X/z + p17UHj8/SCELuopHUt+gfsoIM3qzQpPmloOK69sarybRSKeKBt6vv1PI723Komgs/+gfD+9uwT9G + 1ijZM0hwKSxbk21AtiG62QLl5ftVTY33PIG0Rm8WhpvQ7G+SWaI5f/7pv+z4rq8w5w3i3Kjtj/ve + OUGXL490dMiunTJp94RgV+1ZMD/vzIsDNG4gJjOPQp+5f4BsvTvM5zz3aWvng4zd7st81XLTMfXf + T0TWnzeVVXiZbLq1V+RotMDLbdqg6STJux9fYtYL3X32krdXcBpzzXz9qrUDrXkCbOe5+Df+YStJ + MqxRoM2ZTStEjfY7hJcCwu9J/vpjFK1t1Drbyy8vFiPNQ0dZuOhL5UMRIrSPJQ11uxumuSkJLbu4 + I6CZNzHfdZbm8FCPiQJb+Yvvx/RbcanWD3/4aOha35Zr/s1WZj3B9W1Kq2FKrvjHi6gQWy4fCcrO + MPtZ4soFbsel/+4A4o3C9OVIzEHsJwW+o/7ByjG2quWc31Fj1CuMikgvJqHcK+vZf7PNukYFLZBy + RspGSLFwOHUm38H5pCyPw4mFW/o2Z32MIJRjQvbwDc3uod4SNKKrTNFL/VY06LUnoDcNqXS9ZubE + 4qcB8/oh2GqmYkrMrlMuFk6pgPWVyRxqRXAX8Y42tvxtuRiVAzD3apFAhoXfFHUzATXOF+Id1juT + kXJjAxOjFwvyu1+MeY80kMjWppJuPlPmuXcNvhoKZj1QfzyoRvfVtsDru6Ejvqu5rJ7Er0jC0neL + UZIEjL4XO2FOKASp/Oh5AqeNEBCtNsFsr54nQu3omBHSlW1XgKFAsLvvqTAtsblcxcUJHR+Pms38 + sJiub6uENcIa0RdcnvvR/gMXLLp0fHZyW8eZeAKrXCQMO+0eTQWazhBG8opsF1FZDdf3DkD/bHd4 + 0U77aoivK2ulYjFiB9e02t/7g6OmHvAg+nXFmKmu4FCcB+bHnuAPsdlFSH1Gn9mvYC6d6av58UJM + PW1XjWsjisCxXg+m1/kLidfj6gHHOu/JthENc1nHHUbxs52IsfHOPuUqXoFVpyFerIIwZVjyFeV4 + 2N+Y0xS0mIbjx4O6v7yIczE3JlPgdUK6GBXM4dPOH+d+DN/p0TCyfrCq59L5vE6WcjnrQ+93e+uw + gqN8Q2xD19ycHj2P4JqPNsOEblO+rCsb/XiUdtDidiiTgweqAB0eNLIrJFs9nsBhe3HmRYb/4xtI + vu0FYiXXJafJdXiosta9qJhITzSIWYVhvdtJJN5UDHWpu05Avxx1pjVFUI03tj3BR3bWzD/XFeez + v/jxJkJURfPb4ZY8YTEdNuzHKwcq3ygyb+TItPF251MjnT/KzDfx0G/HYiTRBytdLh2Jqz+wz8hr + 2P3J48FjFfvsm4QAy+R6Y1723pr9Ekysju3pw1xFNKof/0HNxHbMcdUPGjvqCz/ewHBioIr5+XUH + s9+hpejbVZvE3kkRqdDM/KszuzwaVmpziYBtBiK1Y6PiBhwXXbA883P2Pn4Oir0wKFZ10/b7GE1Y + neT9i4X17VLIFQ0c6G5+goX9pi84icoG7dHpQdfH1C8m0zMekIqeyYJwyzlr+kfz25/Bk+bbiIue + 9AB73byYt6vNakzqRwlvJ1xhUd/45vg2ogDmPES8XV21XH0vzxDaHqc3ZYmLcQ07C/aMFCyc+T43 + jh+sGOtRY945Opn8QqkNfH3esCBwDXPmuRg8ox7pauYVHBn3p/ocFvm8X/RIeWMoJzTXC7N69WPO + /fkKf/KLuWN8jCXZho5sLUamq5KOddwOaNtGJsHmjqD+Y3xtQO8uZLtGkQum12iCviYOFub8NgVG + tlMkWSuZqegSn/T8YKFQtQJmvZ6iyc7u3f75GzyGUKHBuvESplI90847T+24/WwpFI+TP68vnA6n + kgYQ39LPHz36eJB26CobBTFUGxc9elMHSjtOiXWvhmqwJBPDPUwUrI5P2eRr2JWQ9cWO+fHd99kT + KfSXN4nH+srvXjfdUNjEKzzNevlagh+g7+N6poMsWf4w91eQcu4TM0cal377UcJt4+AzSz7V93Nc + TbDfCz7zJcMo5v1XT0V1nLNIh6qazuWiBBGLmJFVEBajk4EDc34kxIqFduYtAMvQ3jNtXi9Mgf70 + 8xvzeM8+JaYnKLzgQDCQY9v99jPKcSti+bJNqulNhQlm/SY+ojYfFeProeGmLWm7OK5Rr/TOA5r+ + 6OEhN81i3o/D6ELhRZL5/f14ujr5lUWF++2JxmtOZaSGR0zlLmjToUeTBXM/JES+XdCf77M/IfbM + i5nZawNaUZmwoF6L7VD2dwGC7/rKDPum8NF4W/jn18kmd/Z8kMyiROhAfBLO8zOtbu4DHQ6OhJdZ + X8y82RPAIXFN73GtFNPUx09Qit2Z2V3QFvP+3gQfrXv8eGPL1vEzAfuZnJnVfdx05nkJyKqxpbxG + 6+rnT6DGov9nv6P/JtdMKY/TntlzPxmy0rrC379TAf/5j7/++j+/Ewb153J9zQcD+uvY//O/jgr8 + 83Q5/VMU5X8y+c9JBNqdyuvf//r3IYS/v+2n/vb/t/88r+/u73/9Jf85bfB3/+lPr/92+R/zf/3n + P/4fAAAA//8DALL3VtrhIAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4b5ab352afe-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:15 GMT + Function-Execution-Id: + - yvvlzvw7w00x + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '139' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - d5b6c4b4328aadd51fde99c9ed21a059 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 75e3150646d393829f5234099c9b5efd + status: + code: 200 + message: OK +- request: + body: '{"input": "\"Sample text.\"", "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '93' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1RWS9OqvJaen1/x1p7SVSIqWX4zBEQumiggYI9AEQERuSSBnD/f9e5T1V09yWDl + qdRKreey/v2vn58/bVbl9/HPPz9/3uUw/vmv39ojHdM///z8979+fn5+/v33/H/IvMnyx6P8FH/h + fy/LzyOf/vzzI/9v5f9A//z84bfbmR3pOBlUvQQRbG6KTBt824nRfR9bUC18YoZ2efQDwBeD9F7v + 2O4TJRXXPqoGgdQo9BHfXhnPXRnUbXE1KcQpNwSffB9V9edKTupm9Li1Sxp044stfvPTsqKnGcnw + 3CQlvipelk3rg1ijaLI+zOxCvxf1YSOj5rPfE09Z5Gjep34KeaCrzPpud2herJ94039hZMYV9YhX + 6JFAM0UNXfLSFqJ/JSHk4zkljs9YJs4rK4cY3Jl57nZp1AuVWYhlC0Sr6ekJvt/aHMpn0GJx6Y5I + WJrdomgtSbi6ol6MDb7kW67LFolKEQeiTdYyvJTrlZHo4Bm8MlVNPVmdoB27XT0efpEE0NR7dsx6 + YgjNOyfAd+UGUx5awXtx39fw6cMlVVy7REJZrVp0NOcjcfhlmQ2789pExbb1sSq60OupeSxU1a9W + 7NBmKKN7la+3IX/keDE6ozEcwBuQQ5BPjmcl8fh0QhIcHI6I+3Z5MJV3sUapbmyIackNEnibhJAq + pUqXZ8kWivLWG2TeupBhun8FnTndQwDzfmImiUwxLI2Xv51W6ovsIv9ecep+ffC4oRKsVr0xiXm0 + gL5bncRad+757sytbZL7Hdkv9KHiV1/VYKUGH7andYkml74wuKZn4G0kmMH9btK2w8K/MVKAHlD7 + 0B6heaCCwjaXPVGp+xw9NCtm+rs1jNXh2ZmAM+lJnI/ogymt1xJ8lnVEsvz9zeYULTnQsbix//Bv + 3TwSOA6ZT+wBup5dlSQCBSec7GutE5yihYw0AZzh/aIK2KrRS9C2dkhw3W7F91FK8iaMK5dKBysW + bIikAd5H3yV2VWUGXe6/rnr/uAaF670L5v1wKOBW1THJHovY46X/TFBc+xnRMhcqfvdmHWDYB3Td + 3Jue16mkQttyl1z367mfuvPHhNpiJ6ZtfVmMH/97hOFhv/Bqdy7F4L/uOYASyiy8Ka0Yv8dnhI5X + xcaTu7+g6ZvZFKZCc8mheLKeYdoAhNYDU5X6WsXz8FbAKi3XZH+WbDTESoUXND2EjJxULROVesrh + 6AYpsaLrWImrcg5hWCU63o7THU2Bl94hcHYbZiDKq+F0LX10dvGTaSikaBzyLAVdnAc6+5eTmIOc + lGiIIgurpxXLZug/APubM9PyFdfG9BnVNfrVL8Gb7Vq063NSAq/aidnyWglm8Whd2GclYt5Wjgxa + W9Mavl07kdDCYc92bhCB3Z6PzGy+bzH55T1BdiMt2G6pHTyRB7saCjmnTGdl2I+aaQxAA39D7Ijn + xnTRVUCKOjuExHhRscxKQ0QdIyGGWd4rUbVJuAmWN5/Y+udQLVdG7QJC5/ZXX+eAa+UbA3M3C+K0 + ZteLU+hH0IbGmor06Ip5WcwKemXGmrg7cw6mW/HFcOPbLTm5jRmIse51wKZpszge/Gza6B8TlrJz + xjO+6sbw+VAXpR/lQExexRWXr1EK0fdIWJg4pUethd2CLa0iZqozZFyp3AH96gfLzKvEfDcfEXrG + 545Yb+vc81LrzptYW0bMmQMSiJbcfST6LyNEm7khVsWWwiVY5Jgl+8mYnS0ukZE3NpY15WVwqfBz + 6IYqwfCQ7ECIW3DebnbSg3nXx82YGOESNHx3Y6QMl0iwUS+hkpQl21092xhD0mGkw/1MtPdCIBrL + QYjk0/Qhmu6Ggnd5UqJ69VoTrfZP3ldRSYEEjD072uqQTdG6wHBGO5dpMeaiw3FpbxdruWbW7jJV + k7p0OuQ5g0ae2nz2pmuwAXhamDJ3sZLQpEmKgnT9viOnVxB488weZxSryzczg0+FeL/dgCrqZUgO + VqtkfWAsZ3DiqWP6w9p7cyvcGn71RiWn497MuR+p5iYzmPdNi36QijSHm19mxJzPUjArzloFGtYW + OWgd75ljZJFqt/6ROI/aqiYRBylqFY8z65VViEetpIITi47WW7CQKJfbAZVF/KYwaV32+94aycSS + iVUsp15Ek1Ggjq5fxA2HphqlV5qAnK8q4r6eRsV3jQzAne5FXOpr/dRXLUZSGgdYmTZjTz32dVHS + Fh6J7mSRjat8KYOam/Xf/1Qzb5YzOoT6nRzYe18psZyFoKv7A7FXhd7L1sxcNCbHkV3Vu5oNrN6q + sCikE/GOKPO64mLW8Nv/r78a2WzrQQKPr9aR06NtgknEWQqZAIIvXVEZ37ReA6i7J8Kfu6yLOXnc + EvjcW52l7rHsJ+RZNTxPO4c4XWxUCoZzAndPaZiLH7tqfu9GU5Vt/4bF5Xqr5nDSOnUsc4wnDJUx + ETVL1Za3JQl/83DwX2GO8tc4EhvdcSDiZeDD/j3fyWnevjLhGEEIQtLW5LTCWiA6KHU0HtyJ7ecC + V1wrRwyh9cT0r7/PZfj00SOfHIzMBcsGEGaHnsbqTay0GappPNzuqJePmLj48er7U5iGYJ7vnB2S + qhKiyF4WGNekZp7dgUfNyO0gWPGMHb/KU/CF+rEgDW86wYo/eFQrHiHqNq5OVW/zDbicVhglJ0yZ + +cuf1e1mFsDta4h58SmCkYfaoF4olthvP/0wgKxCp/ANfh9HR/BirQ/QtaaFu2JzCZj3Wg1w13ud + kOYdovnulC5aGtGbOc/LKeOZdOrUtVnZ9BoBrYbjYSuhiVIgDhZVP9fWpMLv/oFRZPQZdazehV++ + 47WtHPvZ2ggFTZNl0dlc59WUVWiN9jdvxsoYZMHsEbeFDb8tyNGUimpqvr0LkfJesqMpadUsxFvb + HrRP/Mv3qqIfOst//QY3Y4Ay+jsPMJq8oFMupxV3FlEKNN2H7DAMaTalEWk2973uUdFuT4L73UYH + f7XYUlh4KmK3YDGsvEuT/M2PitsON5EjpyEW7LUX43K5mNX7xzZY0vZexWOlP8IZGS7uVs0CiYvW + W9A88Ui8MToGU62NNuRLd8awqvVgGXKNwlk+MrbTHcsb6HuW/rO/YvaQxbzd3M8o0ElOdsp4EsOX + nzqETctmu1xWqzlmVgnpseyoEMe5Gg9WcYZHLFFcT46D5tG+JH/zH7dxX1Vj/TJaEBnS2KmQnmgO + Bq7C+/blVN7srz2PR6uDXIoipvnbCYljc8iRpnFgh/Nuj2T5GiXw67f45X8IYkkoz8Cs+0hOapAK + kWwqDTjxGFV0Kck6vZUVeO1/+1t0kA1ZiSSUS2FEiBNSb3q7Owovxl3i5W8nozeYZRifO5u466Mf + CHXecLQo4MSO2zz0RtqoKvhauMKzw5hgTilz9W8+WI4gFfemSQfr0xuUbz62J8O4kqHwIwVPnNmG + WL9PObo8C4/hz+trMP/7tWC8rmrKB9nz5rB8+ujqDhIWp4Vm1GERJ7D2rhWd5FRG1OLPs9qopUu/ + WaP18gsf2g3ajz3bVftbNW0DasLlk1TM2cMccIhVCTbkHbAjWFpPJyIUEI39Yq5v42DKvjaFGmHM + dmyt9BN57igMYhzYvtFrMYe9UGCeYWR7zCo0HVf2AO9uHPBD0RGi/wMAAP//TJpPz4LI0sX38ykm + szUTFYQu7g4Bkf+toojJmzeiPAiICNjddCf3u9/gM7m5S1wgi6o6v3OqHrttCa84zyn210c08lsb + fN9H5Ouuq4R3p4B8BedRP38A+iytdwSy0T6onSobJLOXRpCW3oaoDs1eCB0agNHMCuw6uO/bWXG9 + IedGcxzc3yef16VZI0GTDfbrBcnGuisiOKefD53mcd/jlV+gu2o3GK9wlXHm1xbiV/0y1fMRddHh + foR9cnxRY9Z2SFDnuFNxa7+wG65yny0vjQP3+XNBjYXFEa9tZQXlWjU/sb7X+mGqP5Tz8Y1tv5Ay + xt6bDtb+cku9Rpb9X/19uBqQlaUWiCC2YN9+xjh8fkyedDOmzuDHJ8vz/iFEsPNqJO9Px2hEceG3 + KxsBWt7rDd0y7RKT88XtUHUjGo62g+ePg+kSmPwqkR5ZJdj4uV9htncpNiR7QGzkXQSHa3MmUAHx + abBgCy32MyOa1e1dEOWQpmiQrGW0MtbLf+od+3eNbrIw7MVpX1ra9L3T9+gmkTKiI+7M7kSl81c8 + ts62QeWYPaiJz3HV3d9mDXqm3/DW5Tpa9rNRhefRKWl+P9SxyG4/EZqVuI/qMrUFTfP9EbQVzujk + rwWX34cEiqy8Yt+63E1GO4NAHHKfvD6HoCLLc3KAa8J8arFKrvr75r4Dn2gaXfPRMId8sTK+8ykq + pv4ZDrdtC5GnVtR4GEwIYgUlqOs7ok67uWQTfy2gvYe3aHYbDv7zohsEpG1zouvM/SDhtm6NIDjW + eC0ba7PP43UDV/Nsk9G+bvxR8KcN3V160lBqI3+apx4K7VbQ49xEGZv0DF28zsSu4jQV7+vCgSqu + LpO/XcfSfKu3mh2cGmqdnq4QP+d9Ag/NZ9Hs9XB9EdJBR9m2lmhIbOZ/7kOWwnWlmmThBNeeVYVP + QH6HPd2e5n7Fbi+TQJ9f5uSZqouKOk7hKB81eZKcJ0XM9z9WA+YtmuNAxOY//Lo8mOnX76ARKftU + bZvLGq8ZdXzm/iwA3ls8UKtMG0GoJhNI29LHgcmRIFe05PDuupHqC5agjhnbEsxbMMdBibcZ2Qzb + ElXUtolGRSL4LF1yoCP3yGryU8PQMP3L83Sj48J/B85ShdvcuNKQDEY26mGx08Ko8khTFLNMbH9K + W1trlBB1o8985rfHHH79+MLigsg/SwYgJYtIyUH134+0duCW2Fvi+O6m79LUaoCrS4t621ie/Jui + wiaQnKhlLznmu8LtoImckZq5k1TsvF8A2OSeU2cS7lGfzRYgFeWbevHy5HOlPe3AL7sjxbeE+Z9q + XUbotd6eiLRyeC/2KAnQg3KPIJ2wjN2GXQGCpQZ2eUxj0r4bHRg/11Sn29oXab5PYONsJDLfpEbM + 9mthQCdxhYazWhFs7u5KcFu5idCZHXwenTsHVvIANHzW3H/HTe1As3LXNFSCJhs3l0MOqY8ekXya + 97344b2BDHW7pf7mue4Xi/k+h/d6yAniZC7EzSttMIx8TYPGFz632fmA7OS1jZTYMvppHs/URi08 + +lMeT4K/4oejTfVNA7R8ZLx6pSnkXLyjV8nbfuIzR9vqzzNuw63fU932a3D7gOJk4qHP04IVfHne + PnQ6Ek/jqaOpv6Px+FwKaquCwTp7SVE/8TuZaYMOV6lQySJivBev48PWXEUpqZHnaS/Hrlcj1Xv/ + UMvfPBHZLl4GtHZ3wNvwHlYfxaA2FBd/j03ZyWOqAwGEZ++RzI7MzkiiFA60imRjy+EDEiv9HCBi + BBpeD7lrMptTB4YYNGzVySAEktflNz+ggWUif5BmtxRWVKrx+vhcovfeUGcArpZRA/S8YlOegF51 + cY1WF7WtxuES1YAuDov441z7HTr1FhzD+B0p9n7TcxK8HVA1OSaKVJOY7c+yCtTOP9hyArUf9vdg + AJpp6Ndvi9mPV8IyKF3qDEkas4NtMPQTmv88j7I5eLA72DL1n+6j+uoPujPFIGq3XlfLEKU5TPMo + Uo+DXX22mtmh8flIqfGuI7T42JcC7cyrRTeyXaCJhzhaF0d38tPt5F9PO2XibxoUpV7Je72ykElb + izrxZh/z03J3ReeF6ZHl561lIuv1WsOPXYD9xOxjNkuWKopvt1mk+bMzokq8O4IYACJ20EZBrbDR + 0ZQ/0bXX1+brvPsYSFpddBpGshnTPUoi+OjH5Je/xq9fL7owpJvt85KJic/Q6m24Eal2ns9XkdOB + hXhAkPzc+/wiN/qv/q1f0Ak+6RlatGsHu+YsyNgMDR4yrseU+sXKqMbdMqqR8xmvXx4VfNJHkMts + R5yqQj7N7EMCFXNMjPfS4HP7FNZoypupVwVeNv6cLjlsOkyo06U8bgVyCaoZ/errdspnHhEosX6h + 6eRvl0GNa5XSi07NfTcglpxdrlCWa1M+8fFZ9UxLdd7cM7r9HIIeTfyEdKePo+XcCHrWhPsCTfOL + ANnOBGuqPEVPcjUiJWuKSvBlp4O0rU/ULyUnY4wcbuj3ebnq4uHa6lw7x8EP3RBMqwFE0KLlsFtN + el8g5mTPAJzCqaPlY3wKoUR+Ce7VE9HKdzfVotTLA6R2GhMZ3mvRRbC7QtjynmL3/cjEtWESKJ3K + 8JbMRcw7vinRLbG21Co2H8FXkd7Cyl7tcaY7ucmu5rVE6jCe8aai/be/Cui8S0GD082LySKOSnQi + non1+TNES9DeDgi3ksmda+uYvZfXG3oOukIjM/N9vnazq1o9VyWOWgUQjU2NwyIUr0ib+DZfbh4e + fOeN3Xdtzy+PtwNffTcinYjucJEZHJXeoHjKw8krfntqsrXOhHW7gyD2XO80V0HlNP9xxs+XdQcz + d3+mRniFiqvSuoGZ2L+wf2YH85P7sPq+n0Y3ey6o264b1NimG6mB51SyYhFQMzt+U9feP/th6k8Q + 16fAruzpPeercYEW6BbS33x1yl/Q9XM60e1tUSIxbNwaHmyxxXc5KmL+fNgFoC4ayHi5bc2xTdgM + +jyb08hYpoJ2Z8S+z9Fnt3zHPCsGC5xzsPvdh8iTP/3Ns2y/SGK5kDgHXcwYWT2kRczVpHDA9a4W + DVnXZtKgPg3o18Y1WnCJVWN6299Q1mYPPPVXzz6PPvjyAEHm2o2nvPmGJHkriCR5Qz9+7knyzSPw + OgLT52caFeh+vwNd79S3P07+U+OYr6jhuveKHUVaAJi+TsPYMWL2PiKAu0zv1F43tWByuWkB5HZN + VLn5QW313JVwxC3Hm8ft0IsQhyUq9Uaa8mdAbHReHtD8bEWL5v1Eo22kBYoqSca25AX9N7/XCq07 + RAqPaSZ022xgDKf6TUw/e++qSw6j9Dx+56lgQ7MyoD2TiDBlvRRs2r/Ay29sjNNrnYnsMRhIZIpO + VnJR9rwrdld4eqBRw79Jlbhv7gc0f7EWW3a06MfX4RHA9XM+RcO0j5nypB2wR9xi3EkCPVdbtIJH + TiLqT/uK5vXMD7C5ryxqxu2hotr8YXx5kU55Ui+KTxKpyu69o3ax3PettVJ0CD7kh6B9cPXFO671 + Xz+bjS8/5p+qsjSNk5Dqyqv1x5/TPteupC2xXTlexXdXkNBsGG5EJnORMTVlhvaxxpagTxJki2xb + /vI91ttohRiLdQ4YOzG2t7XXj+Y2T9F6FRT03JFjzKfvV71TNMe2mvXVsMxVUHNHXL76GN/qd7tD + vlr2EU+Lg/jyEwo3pwabN1b53Eq8FqY8gFrylvZ8ttjeIDj4/NcfCyd/GnBz73ca6Gk08XTQwLmc + R9Hy0OO+u96OCTyd5yJKEzbzifuABUx5XnT1FTcmQnwMIIADiuOVbY6qLUkgqcylbg6qyT1PVQGa + ZkNdxbEraXu5J2i29yk2DvsPIiKSOJwCw6ebRX7sx07tPJj8G7Zu14fP3mzTQvbzExI07ScWCc9y + ZK7nP5ES5busPdUvD8n+YvObl3Kv36eamdcOdd3X3BcXTeXwuh4UwpaJa47vMazhzR8uTg5dIcZS + O1yRyYY1tmVZxAPOXQbmLJGxoZ598c0zkZR2exwWs7n4rbdd5QmqJ8q9J88mS0BW96/Jv3YmSdOg + QYHFgkhJrjeTNrtLglQ7CKkXyjgWrpkd1Sn/n3gsEPLS2B/hy2uqTn/8blsqKvhsrVK9eOnZ56AR + GxaX44lm5U4yJ95xIL5ulhRrq5OgR+7UEFvNC7teafWL14s4Xz7+8jUiUz1+8xk88Ur2WaKgQaVe + Szi7HXbxB1Kuop0X/ETKS/gxKY/nA1B207AXyjT+PJ9Zqr4P/Bopl3jbc/cBklLj1Yjdxra++44D + OCsd4Z9J7zg6VZamZp+MLJ1bh75+Gy2SeUBWY/iuRnSsHNCV++zLqxl7Lw83yB/0gwPr/YnPp31n + QeyaCvXR7o6EDmSGmtd2M/XnWLFXcMsR3gDF20wb4+8+DkXVQsYXrjwqlv68dyhY1nL0ySxiimT0 + S+gC9o6ENkh93x8IQD//Qb/7T7aJQwKXfRhFiWgW8VDEx/yXJ7/8ScZFaUNraEAWJkIxL5aqBFPe + TQ2z8BBXh6eBViEZJn9XZtyU3h789b0K+Pcff/75f98Lg6a958/pMOCTj5+//3sq8Pf1fv17sZD+ + ptLvJQIZrkX+17/+OUL46923zfvz/5+2zl/DX//6c/V7bfDXp/1cn//z8x/Tf/37j/8AAAD//wMA + TTrY2+EgAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4b93e5e0160-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:15 GMT + Function-Execution-Id: + - yvvlxf18lrrw + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '253' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 42e4c032166aa68717aa47d33fce4daf + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 5a8fe0a9400421c82190dc74100ae5fd + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Grocery list: + - Pancake mix\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '268' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOS0vDQBRG9/6K8K0nJTWmj9npoigFQcFHESnTyW06bTJ3mLmFash/l4LW7YFz + OD1cDQ27M2K70ObT5dy/rBarfbk42KfXt+3t7Pnx4X2/nN6t7qHAmz1Z+TVGlrvQkjj2ULCRjFAN + PZ7MqqKcVdOJQsc1tdBoguTlqMrlGDecF2UxhsIxmYage4TIXZC18IF8gr65VvhPX/BcQVhMewHV + eFCwO3aWEvRHj47SXzJyS9AwKbkkxst5kL2QP8+brIlsKX5lrUuSOaHOfTvfZMF4aw6Ude40wqCw + dd6l3TqSSeyhkYQDFJyv6QRdDJ/D1Q8AAAD//wMAfbMoYEIBAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4bd1bf3635c-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:17 GMT + Function-Execution-Id: + - yvvl315jleb0 + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '1386' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 85053cfc2933d3f356880e73b7fd2d45 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '89462' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 358ms + X-Request-Id: + - 5239e4222b7f6d5c65187a9e6e046965 + status: + code: 200 + message: OK +- request: + body: '{"input": ["Grocery list: - Pancake mix"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '106' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6W8+6vLbv/fwUb95b9owISMu8Q84CtgiouLOzA4oKKOcW6Mr67jv4n1l7rZsn + kTZ9mnaM8TuM/sc//vrr7yYr8/v497/++vtTDOPf/2v99kjH9O9//fW///HXX3/99R+/v/9jZv7N + 8sejqF+/6b/Bon7k89//+ov/ry//f9K//vp7Mxwj7BeBFvXvXODhNbdqAtXQz+Zp0gwoGEQiSrfc + +oWAhwxiA6YUBWVdLtv75Cheafj0dBeMcoH5O5WnxuowMgGIpnMAfJC9aIDE8LJky+N5lmEd2AbZ + sISyoWDPCxg9aaLeAY+MbOytCxOuANRE5JlNTaI3kHqvEif28vHYq5AQzI59iZTSjvvB8e4auAAN + EFrwis44LZxgT8Sc+sqt0iv9iiT4kMwHVtvc0xtXeltQ/Bx8bC/JHgxizcs76UpHam82x2x06TGG + V0kiGJcy84YBdzzoqu2O2n3/0sn9tJtg5W51wrNxyoYvvGvgqt1VfFw+czS/X4GgyEu3IFmv1YhV + u5MGd617pfZhdL3Zsm0NnrzrHj39+6Wc1v0B50RuWFUWKRvfdNfAySwOaPleNvo4ON4CW7lQEN+q + hM1xumugHuCG7LQxALxb65Uik6XCuhkm/dilQgchoSM+OHectahpEXyeXYomtzMiIXHnCeocAER+ + FLdsWpY0gcM516h9eu3Ztg7fIfRP0Zli6eDpNOU8Ce73pkr9Z3YE83H3TKHucAkRw9z0RmEGF0iO + 3YQi7bWPmvU+YXe+Gr/9lOt5LTBuVIs6QSQDcn+HFWw5+UzxzkZZ99pNlvJm3B4tm1LWZ/4zVLB5 + cAKpPwOMOpi/E/gxhJb6ybvySPm2XbCIx5DMY2iU22bvTVByfAlt548eDYUBZbnm2BWrqYqy5X1R + DGAGly9p6PUL2DyGAzhdmgjf3c0RTLQ9E7j9lDdqe21Qska9GfBRkYxAH/AlVZZZhnhX70lXPdVy + hqbrQNbOjNTJUS9nUoJYRtC/YRMJi04eRCBgX7kDdjR+zyp5XwtwYUKAff4lRDM+2xpAm0+G3Udx + i6an71xgEMsR2lKy6PRiVRPwuGODDfGj9NPVG+7w8brq2OiNRl/W/AAAdleq7fONN4gWV4EntBqK + 3krH6IxOFvz00RX7B72OSPFRC8XiexttB77JhteVTvLevCfUrW9d1NGmV2FYqYCAtJ09irdhtyFg + u6OumcVRTzXtosDIttBiPzS2FZikyoLMB9j87Kd+KNj1ArupuVCblmO0PNR7AEhVdVhzoqhcWpPl + 0Oeve6xl8+QtvGK78jk174RoOvHYOdECeEqLFwFMGPShY8yHSXnssHfUPiUbRMmHbzBkiJ/Yt1xi + fbeAS+BvcWhk34x6+cyD78XO8eG57PQl6O8IWjlKsC4OpJzm7XCHke6n9JylBpje1lxBnZ1itDkW + fs8s56QBdcsI9qxzySal73iIIyeiUXWp2FiH7wBCZecjeTuf9MW7SAYEe/6E/XMF2UCyuZL756VF + RNORPg8CQXKaVUdsedurx78kYskacU403kdpNibvuYP5hc1EOci3cl7zTTlL80T4WxF6SygWHASP + XMLqTfN04fPYGlDouxkfZrv2mtP1GsN7hlSq5/U3mvlPVcFwCF50T4IakMvzHSvhweeJ/DnPHj32 + zheKYzqjJbD6bNC6twGD4VDgg/tySnp22hzuG21HdkV97JcrJCG8cMDB2i8fU6Kmym2abOqC8Vou + Mz9P0J2uAvZvzzqio34l8IpuCtp8ZiPij2/IwzVeqFbkJzY/y0IGrx2XUXuz77w2WEAgv5OOUm1S + G28wjFgDW8g9SM8Pd7A83e8FTKbKYRRnMZvVmPuC6+zEhEqHXl9aW3IhlNUN/d0v+YwPGerJ44gm + fYvBzBquAc+4rdC8Y7KeZNUBQgtKA9b0IskW+8gShaUhR+2X0APWcvEF1kZ+R6LXBj3Dn50AHBNA + shlyS2++nVDA4fV5UmzsqmgOyvQOleoM0Fa8iR7Jc/UFH8fljfX8yUqSgECGLSedqR2HN29oRDOE + Vhp7+OrUvD4TY0egJzwQ3Wv9V2/h18lBTcMC/3t9I+BhaF5q6p94LVqorBbKO46u5NMLFZvWeIOt + 6mv4kh4fgDHb7OB7j3sEj7srG4xPeAEHfaZ4fwzO3sL2aqWc28VCvXucPVbV4AU2h0ONvWR0++XZ + Vx3UlN7Cvrs5sqX2XB9qNkookn2tnJ/hMYW2U8aEDMWNjdr0dYD95BJq1kCOpl10jOXoG1pE8MnH + mwwrGJTcDiCNTWSwpRXCL1REacFufXMjlpLeAubmZdCwjayM5XG1wK4Sd0TwtqJefJ7zAq98eSHF + Pn96FXjGBnzHS4HgPqDl4Nx3L3j0FhOJhWx6IveOE+ju2wLj87mKZl9JFllFIk/3sdn2TN1qPvjh + 3ZZMiC1tpRhQp/KJHovDHLFo2AlgCVb8LJN3xLhp64M62pyw89y5+vLaSQZ8bWsdH0+fvF/0JJCU + lc/g/TGp2ZKARILO+fslfKN55VTtC0E5CuYeO8fbBBYeVQR+H1sJ743aZ+39FvCQaaKMtVealMyu + wwaU4ILQpI8PjyT9ZEHEOJ7i+PrWab87fmF7hXeqw8cBsPEyy9AZtltqzfmStRehRZDt8gchsq/1 + UyMeA1DMlxYJ1sbqF6l2EbDm0CRLjwcwa6fhBc17nmB8LIZ+2Xy5CT4blBHZdy76tGmSCboHYJMq + YlE5v0cIYV/QASm++GKTNbcWjN4yoQd80stpuhQ8KIPCwbbFXh4VqQ5h9oiPRLklQrZkvJkDrntE + 5BpewmjKFSiA2Q4PZMe8V0RuyUMGZ4uk63nabBzOVAJ1n56JmOGXPiO7k0DPFQ41e8EA8+H99uHd + bg/Y682Tt2zvkgvvHdmSwry1JaNTNSmP06HCrtQDjxZZNcGXcn2gxb36jH0uuQaNrR6TS1gkbCgM + XoZCf/hiM73vy/lSqynszgKmaJvZJb3GEoJhkkQ0XujosS2fDvDJrhKZdyzVmexwEnjeM45Iyylg + rEBqo2z22RH7jlnpi365+9ATnggjNAgZVY3egrWcbcjukC5l49znAkIuvVKzNg9grudCAkiK/ZWf + jGw+vR+L/KvH+K599XFfuhoMD4hHd6Gi5dQxgGAS+yr12kNXspTTZehoL5mq31Yo50H4+nBjnlJq + jd+Pt0if4wukhfhAwjWzyjkJEx6Kn+5KrWtm9SL3fA7yih8Uad4LjL6/68CKH0QRHlw/x12aw+3O + COi+6KRsmmxX/eUj9aPJAWL0OGnwoz5OaNGqrT6Jyd2AX43ckULGypvuxTGUpPLlYm/lG8OgahoM + Yila40f1hCUCOTSUcIcK0Ptsm2iSBmsZuGSbpQZjpfxN4bzjO4wvUV1OjykYwL5yBuxwW738mGmL + 4EieJ8Qnd+gNWlOl4A/e2lwIpqPKFWDlL/TU3ARAio/zgra8PMm+erc9Hc17+ic+28XsItY80wFy + XsQjMd9fo2UP2wCMXW1gv0RmubiibQFuu3yoSmLQT+nnGct9hESKTu+OTaQPE2jMnk218n7W56UD + sax2zYkGwU0D8z56o1/9Juap/5Zzm08avE79gUzregxfbprMpE1IrcujjBi2JgRVokdUTZ23R5Pi + Hstk4DHF0l6KRjUWvhDOLKWH0YclkWoNwdGTJ3qsVK3kGX4mEMovF13W+6ZbHVTg9J4nIge62vMR + s2QI4MFH2/ihsHHaFJISfSaAr147lcTJni/g2YtMpK31ycgPrw9lfiMf3Tt605lCAapFMlBV31I2 + FQYvAc32E2y1fVoO/f6aguRaa0hsa4sRxcMIitZdIrGcLt5UFm8HiO7ZRJcPUD3Gkt75My7YygEs + +CEZ0JanJ9ba6Bux8079wvv3+sC/8yfm4k2Q41QXI9zt+uH45gXYSKeF7v1wBu2SpQWkesiR88rX + Z/h17lDUzBc+fN5i32rT14Uf2lGsqizKJmcI49/5YU95XMH0Pe6+f/iN+maWJ2qz5EIzRgzbb556 + DQaUwNlzLjjGwMp+elh5gvpBxLU+st4tHWXGWonEONzpy3yWHDhmBkad/Rz7uW81A2rhdUuKNV76 + 3f1kQBhVJ3xf8Z3Ep7MMdwcorXzeib48LTWAIzeiHlHyiNXLsQKRy/FoidTzqlfnaffT5+a49OXi + h9wAaDgzfFQ9kI3AiRE0zuKW6tdlZqxRTxZMnkKND7LwiZZxnCdIhrOBbZrJPVWiKYTFFgnYPiXY + Iweg3qGDvDcpAsuLtnWhWT+9RmQwXvvBld4GkLj+i/ef58BmEj54+EgAh5RH9GLk2dYcdFvji++O + aXiTfrVkqAyfFwKBvDCSftvLDz/RnC+9R9muzSFft1+KbnHRT5npXKCo2S/q2Ivp8Y+c+bDs+4q6 + xjnP2L4cCAya6IyGcwXB/BAeE6hFVVnx0AfEM8MvXPkS1c1QKmf4VXNwckWBtNz3CWZbCBb43nwb + tK2BnI2fq6TC9kkEsskhBkLSSxZYwLcj7HDU9RE4dwRTOXhj1BGTLUJ3D8AVZQoSNenck5v4LKA7 + nQW09aDjbX/rrfiFQFbzWb0936xffSUcrS4RSc86D4YKin/0F3+F3hesfgze220bsTD/JhBmcU/R + w6eMvEWQAjNTjn/mj7Wu5lDyTZNsxXfLWB15EHR8UWIzSZpsNiCU/5yn8bUqMI0Pi4NtJrRUa45B + trx2k6GseuOXvz2L5TMHV/2FllCbGY1vzw4ybStjc/6U0byZwgLyKh3JvAUDmK2DPiir3qbHa1Vk + rU6DCd6LR0DW+ytXfuJDQeB0BI6a2c+7DFuy8xA8ajjcM5p2VcHDTcwZ2ANtyWZZlrQ//FXb8gCw + o2NW8P4VGoqX8MZolkkIruNU3zbniImBG8urXkfyvrR/+eeCx0YUEdcPrTcZ590L2pHwpfhL7XIp + 39gFz31YrH7HyMZB6mS4v9MagVn+lATDmUAUszPhLb/RKfeOU5hEw5aaB4mAYfONDehPOU+P4OJn + 08ZO73J/tQ0i78taX/WqAEyWhmS3Gc5gxmesgvx7z/CqlwBpRMrJtxFj0m2awpvjHQvkle9h751/ + +skoH90ffm6/BI+N6DsUMjhCncZsDLJJ3lMBxI5Q0+MjUsE2u3cySPzThL9Pq+9p3G0deOr2Zxyv + fsIwMzqBdHnZ+MevFj4/FuBxkGPCrfznzSdODqdk5xFu5QN0zhQftr3mEFHn+n4J/PCrdI9vS977 + UQNC0N996Fg3G025wIE+CTgBrPGFD6ejG032SAkIgOBj5PKtPtpCMIFSFXN67GQ/Yh6+aeCuLxDv + zU/gLabeXoBo5RLen3V/1XdCA7lvbWEv5AZvfkjpHejl9MSYJRR0gaxoMDMzDrF7lmbLj0/kekrx + 0dL8aDIiXoBrPpLZu+91WsokgS4Kntg8SIjNN46rwK9eTG5x6tmoXwc4NOcdPrLejoTULLWfv4i9 + QA5Bk1rnAc7E12giCU+w6l1JXvkvjVzPikooeBBMrzjA3u7TlT/+rqz+Dv3lC/uenQZmt1zFFm4Q + m6ZGvShCfboh0ZvLjJ0W5wsdqQkRkGo7E7HBXvDwFTPqwq/ZL65TdfC2BxzWmGb0vOIOBUDT6t9W + xiWaImZJ4Dd/xS82qD7PA8fcwVVfFtnE8DWB7RP3hIEqAyMxZqLUdeFQn+zc8o8fvPIbJLux5i26 + mBZwnmuTuoJoe+SWnCUQ0rb4g4fjc6umoJGiBUljNPbj03gHsoq2PHZi9MnYV+8d8DGuOdpa5tVb + FM9Gv3gkG9QU/fjOYwdejOpIT6t+JateBz8/RScg6meiKRpszvREgJbeoin6dBMU0TFE3IFEXleW + ugDvWCb4wH03bMqqAwc/deZiWwG8x+w6bUB1cc/YccpXxjrghvLKh6jtzXo2BwsLd56qvvDKB8uG + tucBoGNhEjnezR7rUx3CLz8vqFSy0RsvtZPCntMUrJZ06LvwUnUQncMXPUiL7+0MyEuQB/7jF9/Z + LBThC0jGpSeLeTuUE5qcEATJ9KI6Aaz8xSNYDtqBHj7va7/UnSfASvvk2AhHZT2fuwuxwt2w8XH2 + Jcsv7R1Gbetg1A8H/be/XboUNlHiwvz5tQn41R82b5VyGnAn7E74iMh2rVerHzHINn0esaUbUGcS + Vy3yO5DO9PpdloyNW1CA29t+IE0eD+V0ktMY1Ndtjk1bl6OlTnsVPm8qxEg/GDr/cvXmp+fp8a1n + 2ewU3BecSDqu/YUiW/3dL1j1OWJrfizL+/oFYb1zCO9pST9vckUF6/kRrt7NGVn5NWyXqcR+fhbB + qrdkeNAZpXZmH7MVb15wJ7U+kU97nc0OH1vy1qUhNS5No5OgfRZy1sAtxtKh98hh5y0/fYpdN9b0 + uVV2HTQuZ5V6xsktxSybkPLzJ3Dbzv1w31sc9PfLix60cWK/8wHpd+xIv+LBRCXuJYPzkFOtOZfe + vMCAh2v9XtcvvMWv7j4gh6nEz/NxLttNvtWg5BD9x4fATy/Czct842uQeoz0ajXAX724JRKNVv8y + h/bd8FDYHKdojnziy/CiRBjr4MWYqLYvyOllSle+ls36gwXKPTrN+IiYHfE/Pv2+FxApDhSioQt5 + GcZ0eWF7eE+Abz/1Al3pk6FlMJVysvZ7TiGvY7j6l6LX3/D7DvGlPKPNBmrl9jXbGhTHZKb+ubqD + QVUyDqz8Cx+FR17Oim7exU9/ulJ/+/Wz+Wm0ARhORkf35kOJxvmILXDwX0/qczjup6au7j8+S9VD + RSLWpx6E050lKO4Nx1vxQAXv/bFH1dpvmVPipPBOPhpZ3OsAZump5pDjNBeB1d8azEW4w/Q6qPTA + PDUbL+dOhuihydhpirCcVj8Wxo1mrf2G1PvjT63+CXYD/fXvcT5Irkjmgbr6AU4K341XodtOKvTm + wyUEGpbgUes4OBm/6l+wO3AS9Rqvjmi1u6nQjGiDfe1i9lveKjil5uYrdkfHAet9FT9+sf5uwCKz + ACpVGDg0blUE6F3eCVBsXxVVb1qvTzOrp59+IfOm8zz+5yeKN1FG/Dy3YECb1vjxRWxuH1PJ4Ld0 + YS+EJdWUOirZTXUacOhos9aPR7/EUfhVWPiqyEyR583DmcpQacbo3/i/8g/4FgVE+Pv124uVs5Ng + nY09Yr7y6MkBOLm86j2qbcpUZ4N9s6AzXlW6X/t///YHrLOMVa+pezajmyGD6fWhNu+fwdy7zh0+ + DlKMD/WD09s1noEZxF/sMMzrdLzsZHnP2jfi13rHrOuOh5KDJGoV6racH82ug4/NVsTWd1dGc5Z+ + ESzC7kw2OI90QdhtrV3DSxM1d2cFsHHLXtB9iXsiOaWaifHt2smnOU9X/zLNlqQFKXxdJPqnXs9i + oGjwNRMBsRC+o3X/FgzVDf7156K5VeYOkiYX6d78TDrda98UWunFw9bQ7MFcem0gn+f9hSL+PPft + dmsmkldaPs7DJ/EW3QIJ9Hw3pJapv/Rh5MwAXlOUEj7cBplY1aCAN+t0ob4aDtGE718LSN+dj/1n + BLzxyfRBvs5ujNXEsMHMX/QJrnwPOxtmsW1IWwR7IShxtOIJy7e9JT8s1abWW1ui4ZDyAnizu4Dd + QQuBkI/vC/zh3conytEphAqu9RmrxdxmrGolH7RCM2GcHSSPXAKn+NMvEj5A1Sfjk15+49SlfuF1 + DnwIP3+G4h+eT3lVwbW/gZFwc0FL5+sdyr6v47Oty9msVN4CyL7g6PF+dMGP/8HVXyHLijcLJBr6 + 9Zd++rNsGqfg4fedTqQ7i3w2GuPdgpfY1LAzezJofJZe4LR3Zor9u9BPnnUMweqX0f1+1NjiitgA + Uw9FHBeeHA2PKRmUbR4cyCs4BR6LhpkHwwPdsWOSHvTnnVPBtb9L9WEzenN7TF8w0zRIygtP+pWf + VVBPnsc/+nNe/TJ4uW7wT59ntEBOB8NKA4hK+yRi0eOmwl9/3JK8WO/sQdFgbk82PfD7kz75GkC/ + fuzaz7p5/EbcVbDS6hwpl3zIplt91+ByUA9Y886BzramFMDU0S9ok3ox++EDiOsC0MPp2EWkBu0F + JsL0pv5Bt7PpOnQLPAr2Hm2Eo5FNosNC5e/fq4D//Mdff/2f3wuDb/PIP+vDgDGfx3/+11OBf6aP + 9J88L/yTCn9eIpAhfeV//+vfjxD+bvvm247/d2yqvB7+/tdf8M9rg7/HZkw//+3zP9b/9Z//+H8A + AAD//wMAWK4fC+EgAAA= + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4c8d9b11121-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:18 GMT + Function-Execution-Id: + - yvvl9h8bnq2k + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '42' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 079a9786f90021c1a5f4aeb630bbfc1b + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - b1c65dedd1c013d35ddccff10d9bd9bb + status: + code: 200 + message: OK +- request: + body: '{"input": "a grocery list itemizing pancake mix.", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '114' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R62w6yyrbm/XqKmXlrr4gI1GDecRIRsEoBFTudjigiIHKsAmpnv3tH/53d3Tcm + YCUiNcZ3qvEf//rrr7/rpEjvw9///PX3O++Hv//H997jNtz+/uev//mvv/7666//+H3+fyvTKkkf + j/yT/Zb/vsw/j3T6+5+/hP++838X/fPX386uWuBl8y47tr7qghLc108KIrHRXIvvGPynklAh2g+I + t5vWQNnD9RiWhswcw+cSwI63DXOxUiXdbX3MZdinKtnTOzf5uEIiKkgwU2SlWifc4umGVI1PuJ4a + Ek7n0k6hWzodlc71Bw2ahCnyPs7ELD/vkgkVagTCypCJXhhDwvnYp2C5tonFKGu6aRPWGC5l9aBz + XH0KLqrLGpFyvrItvy47tnxFAEWyr4hveBOioFxsuOjrLRaP3gv1xtKXFHEQYnaHjc27IJVr2K3N + LV5t0QfxsIwjhd37FE9NsSl4tUQAN0EvsGpfUfhpPY1C2L1T4ha3VTGe49aG88Xf4dWnLlFT7Rsb + bZ1dykxrPnez99YVuJkqxX2QN5y3q5MPx2WhkZ3fntHUnE4lNPwj4iXfNAVr9lsMVCcpVhLGzdkQ + xQyczWum4qqnydwwzVeHz8Ij+nPYdKy8vBewkZMn8ZV44Q29FPlK0UQhIQcfwvHhcAAtSEe6GLI5 + mdLno4fbOL6Z7663odhtdzl0763H3LyqvPo03jXwgtxhdn7eJdPJygz1iWOf2a3uId49ugAYutX4 + /UKQ9Denb8HtHIcElvLhrTMtUuirrGPked2hWSbogBaLvcw2g+N6bX29z7B+TyssG4LIZ2XOSzUP + Dy7ZNhvPK/EjEGAf1zZLj87Dm5q9FKNbYCXM2hq2KfptXUK3HXuieY5lshNcK5hSfiDaRT2gMbvG + BmpkY8Ar62ggYa1pMeDDpyAbfXQ7vktNCi7XR7bllWnOg644IPe9TszzYjKp5t8oyDvoGOkVPxx1 + ufLhgkuHCt/fn86yLIG+KPZ4+bH6kFqBRmFbrWqy4Y1h0kXtiYA/tw0xctsvZr/NSvSOO0awFh7C + eb28uFCoAMT97i9bOysLqTauiT70gGZO7jVci9uRbHtLMnvTKmqkXqoQGwe08aZDY2eQrJ4m25R3 + oegNcqWoe+lL4hcXsavdSy+CsXgbxMuaOWzS54lCo4Umzav7Nhyn/GpBIaORLq2XjAatM8RlU94s + th9VL+RJX6Tqfn0+EK192uH61FuisnraV5wtvMrjz3tlwLGfWrY5KU+T52S6Q3S0PcwymZnsSswc + OjvRv/V3T8bt5ZQjcembxD6fem+aeOTAr552uSeb/VGZR3g2pkv23KmLcfkuHfiuZ8R6XTnnounC + Tb7fSBrzZTcsbTDQt1+ILsZBOD+0oYKiOYdEmxdSOIIxZGDV455Fbf7sOEnzCOg7ehJvXvlojG9L + CS1cZBPzrr2KiS+uGZQk+rAjM9tiGLL2ABt3OBFPdKOCRqfCgrA+Z1idphufRSOzUVQvZypJmRFO + u06aUbsyz1Q8Lo/JKj5yDP1DWLFUj4qkinMxAOMt7yli2cacZE+wVfuRZfht2++EdYNkQJ8/nwRv + HkoxifUqhvpYycSv+kVIc085gKZvNkxf3vJiLA7rUd5s7xe2N62w6AeZ96quejmdrxYk7PaqbFh2 + 2kijstyg+WUnFcqWm5D2o7UrfngOaJ02zNmglcdOvS/CPcZXsnv6vTl9MrNV6UKL2H6dFiFn2gvA + E54HgivPLSYQn5Icu9VE1+km4zP5MA1eaAts2yr7gme51aPFtnXYXr6rSf9AkoG++8s2LoGi762X + iL74Svn6+eh43EcuQpIY4aEEak6zNAuKHkoHpjfFu5j0MJYgfhNGha246lp1lhWIX4uJwvZ09/rB + XtfwEXcDVX2Fd5T37wNstXWE4Wrm3mSImq9ezs+RbfB7ncwrq6rgCAeDTvvlEzUetStQ1fLD/KeO + UJ8kW6z81nu+OhezUyolvMZM+OL9qeMJSD46KGJO9vk0Fo28kFxIu1ZkZL8nIasPsY3alX7+1ucc + znfqLkDBzY5pfkC7QQ9jBULj7NPV+/EpOI0TRVll9w1L5RcpZqc9BipXUEF57KCCD4Hqox++Xrb7 + Q8cjcVagsEuVmOHS8mh0sGL069dtusnQ5FFcol3T13/4YD6rsq2YNwPTs9H0CV+jyYVTo3+I1y2u + fNyx8wjrPFuzzfiYeN/uJgzbc+Dhxsv6cD6+sxxa7prMuwibcLV+HTCc905N1QXvvCm74Qjelm6z + 05sbIUfSuoLgWr3IVuulgkrraQFJuY2ZKx2eqLutrzmMN3um0sWGoj1kOxHm2yTj1VPNkyE+Il85 + kTkiG7Em3ifUGw26q3vBQnWtkxmfrDsc3HEgxpEJxQR236OYn+/shy9jczzHSPjQG5Zui7zgmQUW + 6OouZ/pNU00umMRGl5WnECvaD3zEbUrloEIa2a6ZElJqbQEknejEustFMlOLADhn9CD20Xvxmb8d + C0wPvXABXhgOtjO76ku7L4mZL3HS2582gPBGOHE+nIWdIjYjTKXvkCSEZ9gvV6OEpP3CIF4lkI5e + 6/sCBUVrMHxpVibTVxcDHt7LZ06z6HmdXQ8GNLeo+NVP8Q4+jgFFbuwo6Jc8GY+P3PnxAZbSaekN + N78TlfIaO7/67UayySRw3oZL/NFquj/9ECttxTRJq3l/zrYHZHSRhdXWjsPpepdKEK7vgfh7MQpn + 17hVUEfrNdPTPihmDTYKYpbREIz6nn/YY67gh0e7U//xePQiKUol9US0W7ozuQJaCsyoF1Stjyc0 + nFI2I4Y/E5ZKweiGt2PE8AwNkfaXPjLnePNuFWeOGubMj5SzYmPGP/1CtGhRegyL9wBobGhYGkKh + 4PUhttTV07qS+BzsPRqZWob2o2HjhRaO4fBi8gxHH+8xiuqVOZFKoih/+irZvLmR9Ei1ZzRlLjAs + ZVD0gXbNIXLDmtnI58kEdtnDkrxLpt3gwal+iS2UzP6G2cflMeRoZ8WQcTcj1iIxuPAMp0h17LNG + tGcdJmOapDlwLaio9K5nr+UkaqFyWEmR81nzNrWtAHX35ET2jGd8SvTVqLiGioifUav49gNGD2tv + EHvMS/PLXwp4H3fCgtF3Ibc23IVClkdmRfs9XwnmeIDuZS6pNDUkmcUeSsRjSPDReGl8jG9rCaLB + WFCEogXibTAoyhcPqJpVYdI/M9VXNvL1+Wc/x9tbDYCKvctwKQCajOw+/vqPuf2sIUE2zhjGcbP9 + XXPxnmSxuqf1Da/M994b23sy/sEvL3a1pAvLwxl+ekL0Vx+PDxv5DPDJUoKJa5ri7ubnkEzX9Vdf + LE0KB7cC9ro4WBLcTzGqjuUDe6p3vJJ3n6SfBd7CexNPZI+PejiYXeDC931SMVsmHR2fN1sm5Xhl + 10ZERS8qTQ0cSwrt9YuR8PQT2fDQwCJ25FI+YEuPYVFFwR/9Nu427uGPftwWpPP67aAtQAxniVli + AWhkx5WB5LpdsR0RP+b4OK0F6E1+YrqzWhWj125jdFhss68/eXZ0vXy6KAiCC30m67SYfvzTWssX + Pm+52E2x0GYKM9oFs69tyLm8wKBMrvNhN8vkxcCc8Qw//QF7w+LTuRkcRboqIjPUreANZSCl8Inw + mxl6DMUknVsHbCp5bFuyMRnkxqI/vh/au6x2I9ZcDF6aIjp31VR8+cFRv3xAQu2e8G5bhBa8xlz4 + vu9twhXzTdGx5y1F0ikwmXYaK3VK8oARVKJivGbnSjlGiklcctDN+pyRQPk+DzEl0Svmn/6/Xyvr + jx8ZhceOIpTrM14FaPboB19ikLrDi45deELz2VU1mNWCEL8YppCbWpSifVQpxOrkfTKOiqkBPmu3 + H56jvNvqmdKPlc/MDW86qi7VGbbpQqOrKNBM8X3d31E3cA2P96Yq2GcTULB9Z0W2yxug/ve8+Ufh + ZAe0Q1PyxDf4zBJjeqUryXwwJgzVJq3Iz682p4tbgSO3nJBDfvF4NY+2aqLlmZlVdPYmaxwFdej2 + O9xF9cnku25bola575kXOgzNIulAee2x9sM7xGqlL5X0+DmT7a1YFZ+FjBWEzEtNl7ofmNPjujRQ + 6YXJrz/N4ZOZNXgnbuP1NGnFuFyNyq8+cL893c0f3sNHwTJef/0ELdJIBKmACwvuYIRr7fGYwa78 + M9Er/RaOaoty9NU/OL8oR8StcdvCu3a3xP/W23Au8R3RJFjgw72xC2FaNhTErWCx7S6mHgXlackX + mdhEk1ddONdNk0GJTgesBASbc/ARz5CZVkeCvbn02H02XDgMmYlH7XgMx70rBcDwe6Kr8i50zD5I + OUQ4Epj9yXjXd/7WABprGkt01UlWX7yEY45z5o0t6aaIQg6wv6vEOvarbnwlbwFOp7mh3XVpcC7h + cEQ/PfZH/5NzsfgvPfmWKJqjU2cr86u8YxTC86vPRw1OHnPoslf8ZHW9HBWYleCI184FmcPgLkT0 + 1Ud4eS+icIpeUo0uuHIIfq0Y6ncsnX/+A68vpdOtdvwE8OVf8uV31ITNSYS2sXJmuXpoNrvqZiH1 + EOxweY47c3wlg4jSTZsT+7mazD/498hlH6/ZoQ67MfRztHt2W1wdPR3RRW0KaE8WB7qw030xJ5Ks + KXeD52QjOUIyBYKpAB/PCVU2exXNoDxt5WrRLdNUN/RG0+pqqJ6ZTT8dVb2ZXdENihDdaX10cjQE + x3sFxWVR41HodHMMtGOO8OFdsP1lqpLpWp5GNY7agLkvIoU1Gl0JSdJHwzIqXyG/k5sAdSybuMvC + dVeL23eFbKp4zNDfmvl9Pgnu71wiP/znazFIlUkSJ2LHopWs/vgB+/VmP79c7dYPFy3pkTL/lUdm + te0vMywP6oFoTRom3LWvo+yXrw1VA+uB/uzPKDghC9Mm7MZ6wWeZFDfKjIwtOIPFOYDVyqbEEscs + 5O+H36Iovp3o8or7giUwYvjlVY7gfroR4hj++DvFLbtulBgqkSk0PsGPnRIO7iKJ0Bcf6Nc/Ii6q + 6xa1RdMRTzoF3lgdt7bSj6VPNkZ5+4MXQPbxlbi1oqDG5rgF2rcN2+tkMofPGN/Q/Vpa7H649N0k + HAQXJa6wYUfAQTIZpu+i2d4dCPvmF5OYyJm8co5rknQLmTeSfLxDXZEcK1dl7FhcqSn64hl+Q8q8 + 7nctK1rGtr0Ve8NHvR+gum0IVj/bLpnj5GirflwdKRo6oxOEpawBi5sAL05aYdL1nARoT+BAzO2i + 4mOJpwB9Drsrcdr5Hs7TNnNgz0OL2c7TD+f+WtpwOT9G8suX5tJuFSSMt8OfPKSP96BB12YGib56 + fGSW7EqKd/OIvhHrgr0+3Q0yJJ6IFn5Ej164Z8CXb8mmvEdF3Xx2IqRUFpjD0yOfjekpwGHITWLW + z7CY+VuzgIxsT1kkHRH96iVAj6tDNimQcP31cxBQ4pJddhaLQeLfvGJx11mstn73/X8H8OPyyKIF + foZcrfoIffGB7NynHM765WCrw3HXMPMoVHxONgDQXugaT3o28B4rXQqFWM8EX5qTN6GznEIvBzpF + 6GUkYsMcH+73tcH0XtonYxiA/ctPyT5PVmhG0i5A6fF9/urJCx/vYa798jh20ke34N98QaFM/jCr + K4KufXrtQjbeaE/XH5R1bJd6FLS9aDN3ObuoXZ+MGvLVPiA4Fw3UC74AaGXfSobv3aYYsr1xV755 + JPMWYmvW4naoFE0WGNEcteIsfsYHJdCk/k8exb/+B33zAazQT5H01/DLt624ZPjoPMyqLW+OdCJj + xM5Q6OH4kU821MKZEOxHQzeOW7yAna0GzLiDkTCiH3vQ5/LGfv1Vw6qpYCiUJfnqUz6KF+WMPl7O + CFlVLzQfsp2AbMAtIVyWvcGvmljO/ccHt/cN9uavnldueSdhVC735lwhGNE1lOVvvUxozrgEQNLZ + ouzJyo4vp4bC/fXsCQZjy/ncbWbId35Dp/3L8ySHSBHkO9wwb9Lcb71Ozh8/vkvWVrgmHfV/+M7s + UCtDVrq5BcnCkdju7CaIX65TpaLRef7883/lBb/8ASdLhujb35UgEheT3UPHnC92SY+ct+b+/EAy + kErqQUuvBZ3ay8rkZ308o1cnucQl9IT4+qqLENvFm7hrexXOXTMKf/z5nmxGNOnqcFO+/YSXNT7z + 6ZR+Rjg15gcrWLHDUbOi6OcHsdwYvrmSG6uHjcJdRrrxhcaoVc+Ix4uEmF5Iu5HrywoFRW2Q/eNj + h2MYBzOSoPXx7G3eJnv284ikpezSobWl5M2kLgfurihelMIdjeE7bWGzEM4sPmzZ139EI1w+q4Sq + 9B6a8zcPUm7mkjI/PMvhcLi7LVI2akSw1XTesK/XGJoI9ViN0YFP3/MGGNfXI9PwdjKnWwMpRIO2 + oEvpTVH/ws3ij79xLvd1OIXNSUCzV27ptLosw+HCTBG++TrbvHme8LdyOiiXnXcklrKpvfmgBimi + JHJJKlzeSfsKnykqyGHGK5fcuz96Ne92E4kv93Xyzft98C9+RQJ86/lsPf0KKuwkxDkHg/nVcxL8 + 6tlZpGCO1ZFY8NLSJXPQLkp4dM0PKjU+O+LSjxmu9/bLgujdCwSzjhXFV6/D4e7GxD2VKyTcs7cC + gvm54nEX6oVI15ahvrXRIa4YbDiVPm8fvnkILRpRD8Vvno+a8/HCjMc4oX4R7ioUPfsnud1ltfjl + hbDMI8R2jZh0ozscDlCVzsi81XnjsXZ1wvD1s3/OF/pW7mP0xQuGG/dS8MtVLv/4edW3LW/a95oN + Ua3O+JWtR290hziA9Xbb0YWY5904b5wU/fyv+vV7begOPfrmz1T++jsWvbYpjOvk+Mt7OZVuzfmX + N5Mfn02d6UbyN38jluMfijneDC2kqvb65YPfPN+h0DOc0faqjAWL+7uLNrUufPOLFZqblN/RTy9Y + HJ/Mz76QqXJaCjvyiLd6spqqQ6Del1VMfnpoUI+5BQumbcnjWDUeb/K5VhO8NZkmdLo3O9tmAd5p + sn/1FI6Pq0YhaHcLmtvMTUQ5cwxIninFIn8d0FjtGgkeFcTEuFr3kPqq6aD5gCdmOtGLz8bWi5Aq + Hh4kFLID4u+H1armJxqIVrcmYqw4Buplo4TERLqDuDvSALqQZXTRvjbJ2iq8EbZF1RLnCHPSf+sF + feo1ZtvIeBQ/fodwvunM0l7UpMshz8G63HJiMq3rxvC5BrA/lU6bRkTdXItDDI5xEOgKRWVHewhv + 6Pu+MBJdoWDvgzOCedMwcaWHmQjew8vgdRRbZhFPDbkxyCLYkdARQuK+mMx5fYbD3YkJDp4uX2FL + v8Hc70q63OQ94gs8x3BJlA/NmpQnPFuPLqq3Rcw2Ave7STClAOxWWLINCz9h/+UvEJfYJLqnzXy+ + DqgFCWqf3NN9H37PN1LUJqPJTt6BdP3P7xxmZyDatDvxlraOA0pMW7q2sMmHUrUWUEnTlURmpqBv + 3lzC+YJ3TEsFk3PU8R42LjvR0YOwW3+CtIJpf30zZ/PIwvG8UijQcCEQ/x7vED+UugFudKrojNSm + 60ssH+B1T2bi5/KL//Qx7NfRgQTnDQnH3ESKopRNSpc7aVvMzva1gPxcOERPLi4SzqF5g3JuEjz3 + I5iDdM4d2J6eKjEm+4zmX37eJrOJFytPQExK6wyJ9/vA9uosmWxOdeUP/png8XAYFwZWp/M2oatb + JXQD5b6AnDp0sFi3C49lud/D1deOJHWFOpmF5VZAdbXPmUbrR5dhpUgh6fkeL09yyackMPI/eLd7 + XXYFd4v8BjQ5LJj1Pc9hjeadwT3aNX01xbtjK12rYHycRnx0Lhnil9d5hraxc6aJWVGwjXcU4Itf + 5PA9v2LhFPlqkWs7iprTB43TsunRO7Urspslj7PSbS0IgsOF+XJJu7HziQbXwKiwiNum46hDPRxb + 6cKuePXNW8adDUnAhq9f88z5q69gPMYqlZZP5vWasM1gHLdbslGDRVH/6qd7b7w/eXSTR4sFDB3Z + YeVF4kTII6eGNZQXgpe60I1hfJshu9pLjE6NY05jEkhgZXZMdEevTP66pC368YFx3rBwtNk2BfVS + hsxVaq2bf+eR0hK5eAq6VdI0kqWof/+mAv7zX3/99b9+EwZV/Ujf38GAIZ2Gf//3qMC/b4/bvwVB + /DcT/0wi0P6WpX//819DCH83XV01w/8e6jL99H//85f6Z9rg76Eebu//5/a/vr/1n//6PwAAAP// + AwB/Gfvm4SAAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4cb8b3713fe-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:18 GMT + Function-Execution-Id: + - yvvlh8rh38s0 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '172' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 91f42e8a544d43c21eecdcd9d8b2f786 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 54675364ab43889d41f33f1cafe85a27 + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"What is your + favorite color?\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '269' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOwU7CQBRF935FczdupqQEK3SWLnXjgmgTY8gwfcDIdF6d9wAj6b8bEpXtzbkn + 54zQwcLvnPp+iOX8qUntS9DTs/jvdGrb+jE2x9flw6KdLmHA6w/y+vuYeO6HSBo4wcBnckod7PR+ + UVezRT1vDHruKMJiO2g5m9SlHvKay2pWTWFwELcl2DOGzP2gK+U9JYG9qwyu6v+5MVBWF69cMxr4 + HQdPAvt2Rk/yp8wcCRZOJIi6pJdATkrpEu+KzwPJRV442Ye0LTacC+GeONGtFBt35ByUCs+R8wSj + wSakILtVJiecYCHKAwxC6ugLthrfx5sfAAAA//8DAGuClxRMAQAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4d0f99b2264-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:20 GMT + Function-Execution-Id: + - yvvl4b8j5ntg + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '1327' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - cab4489fcb073187a73b112f5825f6cf + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '89461' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 358ms + X-Request-Id: + - 509ffc387963a73e880ed3350d567cf9 + status: + code: 200 + message: OK +- request: + body: '{"input": ["What is your favorite color?"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '107' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6Ww+6vLrn/foUb95bZ0VEpQ/rDgGRkxQBFSeTCSAi4IFTW+jO/u4T/K/s2fvG + BEqCpX1+p6f/8Y+//vr7m1Z5Nvz9r7/+fpX98Pf/mu/dkyH5+19//e9//PXXX3/9x+/3fzyZv9P8 + fi8/xe/x32D5uefj3//6S/ivO///oX/99fcZ6z7epWjZNRd+c2GRtyvqQqWnQj82ERBDVShmht5N + WA56YFJ0pbZVPTouvwUfrrvG9cB77RFfZd83RKggVH1kliZoF9CR7qmjJyhojcizojZCx9zCnvj6 + dJONkwRuj0tND+JmCPuLuFNAMymnmr3XK55N4gLoxtGx6+WmMz6ObQnP3TGj3uUhpH0FlQfbyN0R + 4fZqU5IfQhEVoVZS43ySQxruvj1Ir/sVO/azQN/X6xyAGBxib43vV6dXq4ChUv5gwsEu+JStCAM1 + Zqr3OHV69fQU9S2TwnuSMR8+DrMR1Gg7LFrsnnjn8EjzTZQ2ao2PdzfUxnRzecML7As22DVJm/au + l+Bdz50nDuo6HGtUCnDaZwgrZpo4/O0te1Rbh7O3Jf2T8+Ai+tDsLhlVtTvveNGRN5KbkVBLuJyq + RihNd3t83A7eqmVauvYOuy8kxQd5TZZv+cTvxUIGMUi9r6Rt0fTaIBUV7ftOxjcqK7Z7dhHczvsV + maztwpmUt7RAr5O29QYqxpy9rgcTtMHR6OFotlW7iU0Fqr3tUP2c91V3fXQ5uuvwJKOxwmmrD6wH + xWsd7HbK1mEH7aiCn8d7HHDjFY59USWyI70xeWLNRsy2bSbt5OOAnVtQd71ALxfIPt8zNtqhrcZ4 + SQD8RKg8yfCg4siNY0TYN6Y7Y0XT0ZUED7aSsCRTVRl8BX26AbxdrAhPZVyxi2ipULhCgq3roHaC + 3/UxbC7qgR7r50Xj1m3no3Fc69hzViSc7vs6QdZ5nLBxDHaaWK0yE6JT5FG8ZZFG+9XmDVlRnbB1 + Ejhi+/EB8K3eN+zWXd+N9cOrYa/eONVUtqvIcctFkNJ+8JgXfRHD+lOEVbXNsRejHPFiC720SuoO + 3yJ/EfLddPJhhbIbNY7BUxvqISOgvw4fbERkh8QtEzJQzYtDJKWzuYAbAUAyLYcesumNRn17jWEU + FpTuTo9z2sIRC5vWT3RPqLEfTvVaq9F48HrsWNRwxot98SEfJ5cq1VNEfUfHDZAwcj2Z6VE3Xt9T + udRz6UH3ZP8OWQvxG5oj2+LDS1HDtRLta3hMloBVt3t1/N30JYqsMcBHpgvVuPFuNnzj7eQt7+Oi + Gjp/EKH0Tzq1GA75GLS9Cq3cY6xE65MzXadYgO6QbekxXxthfWcPE05SpOKsqD0+JsKawNHyFOp5 + p5iz81vLgXEcYq9UA/QSQsmAMowpPmkf25kCPS4hsniAlesiTifsFBuZGIpCmrpfhTR5Ny6ELC+o + U3w+3QRNbaDPd7EjqF5pGnNifyPjplhQZWdcnQHHS1X61Qu3woZPpjxEoL7aqyfwzudCvUi+4J6w + R+1xTVKapeMCHDc540Ox1bup0soLNB85+X3fiksUjH+vn/pS01ENMhHatxV5YynUnKxRR1D5iU2y + dvGkkSx/TpBzWfK4FNNqYK5wAc+4y1SVWRfWnjrFaLy2FbVIv0PDuxwyeKieRuB5P6SCWFMD3Q68 + wXomDSGJ7i7Afih8HG40zeHfoibQt4ZGnXx1CSdBBRPdU+tL7cNh5Yy7bRGBoK9E6sBVRqwfmwsY + L1XGh9u94hN5Jhk6QcXItjOXFV8cxQ34x4VHPUESQnZ3eQ6256X0h7/U7GkMCLkudYT4WTG6uyjI + fXkfrHZjmbKyH77w3iPF2/JL6kwXsgVp/15r2N2cTTRF28aDr0o6IvCJdJ1ZbUrktdujR3a3Whs3 + 3sn8Uw/2Y/NKx4hKFxCcSvOmbHx0bDyFNQoO3pXi+5hXHcmQi5Kj/sE2et4Rie76Aoq7f6I3hjli + maOrMG2vjB6uXVD12S0wQR7OPjXoUHDy2w/aRVt6U+bVDt9Z+QU+yhKT6lMQh3wWuwhtF/ETW535 + qOb5LNAVThXdhfa3G6stSgBOa4cqq+LB2fkjSRB6VKO7Ibf5gA7KBC9bHMk0RXY3iPYUyHZXfKi7 + apfOtEYVkau96ZBFNRgOY/fJhwx3JXbylZjSCV4x6FeeYmsXZ5xoeFBQkZhvnCuF000fijzk3psO + qzOeslEHCRnf+kF/9UnN/pPAWgmDmW+qlI7VBsCvP0e8W0srbfKnLkfOjTyxam0X2oAOJoMFNwzq + VYOh8a25LdG5F0NsBYMbrvr9opbuy/eG2ubWSP/wxTU4aNg7a0U4zvODz+QLWJvA44N+5j0or9DG + 7vP+CbngBRmUkjZQSz2t0ufLKTI0Xr8VPoybtcZj+lTB3NzfdK+dj44oG0qC6vftia3cbxHRQ0eC + 9PxQsWF/ruEkrycPvkJ2wGeWcIe8T58C3XeiiI0yHkOy2ugi9OsYz/jSOkw5DUya+RXrSw+nY6P7 + ujzzL9U8t0zZa0QLOMeCRJUm2fPxjuQczF0yYvc7tekg3swEud8oILz7OFw4fyZJeh2oQbot4um4 + 3U05eEKzxoqxfKGpOrEczudTTI+bgDl8WH9V8FeaThWur8LpXiotvGxhJHywZd6L08qT1C79kMXj + /Q2pmMcK8OSYY69Du048Kdsv5IWUYw2dTG2QEiLBShFVIiutqrGAagH6nFIDu9SLKuaWaxc+K/Hi + EdnEqCWbR47WT0ehJiKDNiK8bmGeD47Ut+NMfn2PNgkKnoQTTUz54riQEAkvLt5pRR+yzXcP6FTy + AwFNPaTch+Aiz3hEDfwZuuaOVhkqhPOBHlilIHLf1/EfPra37piOduFHcmItYOaP0WHL2+CB09ox + KZ2OOsxTpVgeVrVFZz7qevvSZNB1koW152cZfr/7OAeL7xcEwfWO2HXNcrDkqcbu6qB1Y3h6tzDz + pTfkayOdwvWWoR9f6bbaIe68ripc33pG+sUYOiQWFB9CXjtkmZ3t6oeX0m+9f/U+XvjNQ6u1tPYW + rU9Str3nBNXW/oy1qzhyQo1XCzN+kaUqKZyfd9cJ9nf9hmc+D/lC3AqIr6sWG6LVhVyCYALloas0 + T96BxuzhnYOdGozu5a/O2ea2FJCjOm+yNHDF2cqZWqSWRU/3VVqkPFhuXVRw5ONjtF/+G/9XFcqJ + ZCm1Qy5khG2itDbhXOu7zrpZATq+FxpZQyk7bODxhLCYhnR/NKSuj6bWREZsfqnbKTeHRVf5AlH4 + hD96lxX7yoDDx/Mxfi0Th+XZqAC8xBor98VL49qK2XCy1Du2IblUPEu3C/SAuCLdgxA+Lqg0wVKJ + A3pHt3XIvX3gyvzSAD4O31b76WNwql0046lZkRkPwZFqjPeHzEbiMIw2tEMQ/1u/8Up5Q3yId9Rf + FUtEl5unL6cOibErVtdq3LwuNvjPXUfdcrpXY1btVPlz+Gbk02Vu15LQjZChWxgf0Eab8ZO7sFe8 + PbXb9NitCnwDGP3ng57VTKjGVf8uIBhFSo/+sei69drNkTK9LnT3eOwQc5zJheC2AmxajHA+KPkC + 1O72oYpjaN1a1vw3KoseefLW+VZjvxffcBXL0PNbcYvYS1FNeEF9JAvA63T03GcgK97XocF77DVu + 2dyEUPXfNEwdgY/nKmxRf9Fb7CzU0WHq2f2iEJsS/uPvjqaqgk11i7A6wRX7tl0NDrsWWLmUddov + PygCgcUO3bfrpzPBEYvSvSQ1PVwmyXlHXajD5SOV2AmDK2dCfIp+eo2sb/Xzpw9NqJ+6iS8nSNLv + fkkM4JcO6EHhY8oOgihAZkkBdhbI6vh3cBL0UF0Nm0Cqilg710duxBi1wreOGHH3AZx26IZ3GKq0 + tVXUQ7p7NPR4d7k2+8t4+w7GM81LdUL9QmEMHR5dROBgvTS2H68AHB1csr0ItkOwU0jwOFSZt/bv + x27c5bz4rRfe3QYfsdKyFugpGhWRT43Qjf5nbwOSbxKpGCmc9gMnSb4GpYS9t+VX7M27BB5L2NP9 + 5NYaLeW0Bh+RE6n5RCq+vAsZ/PSWkrmRNj2rjw3rdoeociqJNiSnTAHxbYzYq4a3w06mQiC2PhRr + +z0JSZY3E+SKyqhZiw7qesdzkWo/t1jPdhEayRQnSLWrLWFUZNrsX9/olQZf6jwLRePewWqhmdod + WdpbWavJSvHggrcUW6PphrwWQoZKnJ6p6/gq6q93p0WzP/W228uHT4Ut9TDXD1l81EbjDn+ZcKTC + wqsy+e0wsf7oSF7vJWwk9uqnny8w6w1vKRzVdJ0mdoFw4bnYXrifinwo91BzOPQekDNow9ZXajQc + BANf465xRl7EE9RatMd21hbpWA9ZDx+9GGm6fhvdWAZMQOuPcKQxL8aOxTkyJGOrXvChPlh8OheV + AMOzZqRsjmL340tkEgJ0N77MiqljsZFkqcuwPeMh4906A+FRZl5PzpnDxGOrwzvgZ7yf65v+ySfG + x5qUao0cCrvGRPw5JVSNlG83YF4JQMf7mtqkdMJBUT4iKuUXpuZp0ab8SY85ile2jvd+eu9+9YbU + CSqs+/kl7WM1F5AZQUgW2mdCox2OrbxEaoO98TWmpFt+RBCz6EB3nVqE1JRWJejXMSXyO/w4xD/6 + F3nGEwLL1qnW36Lu4VrCiI1gFSDurqI3ODDK1PlCgVg0tTb4XZDQ/az3iHZHJlhFdiObeX+t27Oc + Q3Ivc6IE6bujxVYg8k9fGTtRSf98r+XTV0gjYSXlu+nmS7P/IWMa1w6tsflFz/Jge5H2qKr6vhgC + mP2mJ01N4/CnJV1+4yQdhyv/rQd8lo75wxNEZrxBlwEjjNOz4IxpqGVgnB4pVuPDOxw7/yWgy2dT + 0qtkBN2YaEcJPVNJJeLqyjq6JXr7xy80s//uK+g8WB3JhXpK0XW9+YwJ2rVvEytBalQNfY39z49S + pyD7kJ4z/Y3MlbgjBQSflEldLUK73qn4UHknbdY7G/QnH0s2VGvzc7OAS1JfiITPfsfXYTHBevjc + yVa39XStfUpV3hn2xpNnfhjLYCOgMOjv+FguaodXx5sHbN6lbH7feMrOG9jkW5XeHuqrqpToWEPh + igkR61ORTh7Va7QSRhdrp+cr5Gb/iQGfny/8bcRSGxcLZQPGYnzj+0gPvMwPqQClH+rYOxC/49dh + W0M+TBPWUplW/c/vCS9a0z2ItjZ5qPLBO71TuneqbzcW78sCpspuSOfIEZqebmlD9mnP3tqSXilz + x/1FUnXW4L3wJRU7CAsBPadqR6S6ySp2K8oSpOd2RR0mLNNxypsI4jdCBC9YG1Katy26nr8vT0rb + hjdb36x//h1jqfTQdG+XBbq/A4Pu7gKpxqAPc3RkZMDmoB/SP3pK8sQYuzeTaOOMp9LMl9RK0IGL + 37H8yk+04t6k1qlGuY1qiImy/FM/k67Lk/S9EB3r473UZrzOpdn/YV+8xSFfZEcFmhML6fkRlR01 + K1bCajy2BJ30RqMNkcTt7Kfwfj9eK66lToSWUj1hT5bsaqKVtYFldSe/+gknU35doOkKoM5WTdC0 + 2rjidgIU0N0bld1vJ8Dn0GbYucOdT8GNGOgW5D7Z6sOSDwMrFuhUjgdPPAZPZ4i/T4BubBKsD5c6 + 5DfzXICHrjpWWXnrJs8acxAlwyaCh/SQvw1ThDlfxPau1tKp2RUBvMbtB3vrvHD4pwsXSNwfNbrz + tWc40tdIQJaajJonl3Zjty0Y6rkwUO1b6B2bjD5CjhufaaymHWI2Et4w85O3Wd2Kqr9/vgEsuuWO + zvmUNo5clJD0elypeUsch58WOwZN7jF86DPNEVqi5vC2shJnQa915HWwPHjFtuyxmT/Z63X20U// + n9Njjfrx8SRA4uaF8bLcO8JnbQfweYoy4bu15fCJPALImGx6yx0+duyg7VVk7y4HT8y0mk9LIiXg + RhOjeB4fwdy4cLhMN+zaVzscLU3Q5XAvmDgIt3bVHcJpAUTNchIn7h6hvR/p8qaUMqzDwXSm+DXZ + UIS7kupJXvLpyppEyqSTRDWu9RV/fWQdhpcd0J9/n/2XB18jOHrbZ860LzBkQiavMw9QNfBZ/9ZA + tZM869d11d5DqUCQn77e+oTNlJmbcy89D5uGqtvmWK3UwWrRrM8pJsdVx/aZmqCXF4fUqvynNr6i + a4Qk/dWQEUwfke4oqr9rekgnP2SfhCjgK47sbV+vI6ck4y7UwXpJd9eTkRJCixoS5WvjAPaxNgyR + S1C7D9/YLWrCh8hYxii4rYGsyvLAJ+frCaBpSYK1QyLxP/nTLrFPZHMOjyl3+GDDKxdtb/zkC20w + szGHGc890QxaPrgSuNKcd1Jj5U98dItDAsvPzqfaIUk4eZusBVEsvthhwiPk1VRfYGWbArbU0zkd + 72bkgfAoMmpscy9c0de2R3Peh52jWCG+zq5feBf7J93lw8HhL9HxgGXviOqstiru20Upz3mwt0Fk + cHj+PfRQlfn1l8doBNI7oHl9ybo/v1J+XOuqtHwGyk9P8bneBKSZA8epRd8a++7jDKD7CN6qXT81 + bp7bGOb8nOq3VxsymqkCnODJ/vj31ivEDP3y0B3WWsQiZRPBZbFvqPMBOxRtFRGkpxeZ4vQcaX/G + rzf3QNa8/TpiDGvzD58a8/dsyOTHID18jDOo6pCBfBPgXTUa/uXnQnX1dVTpJKKzHuaMX54bMDsr + wVoSQDqszk2BZryhRvnAjkD5QYDEeu5n/FQdHoydgax+I1LsK6d0dC07+ekJqqJI4UOwkexfPWDt + /K2cb7dQVFl0Nj7d65ulw0m3u8gzf9FZf3X8GroMDau35VH9PiFmGZ0k3dJRnf1DU7HquUjgbhaa + R2Z9OjZHY/Hr/+DjKyHVaGlgwBwlU/u2vFScaisR8jpTCNLoNmTk25TgCd0a//KsSd3lElRkI2Ac + HjbdBOkZYHsvOHXCYM0nJIQRmv0oWffLvJvSzsyl+q4TvBdFOeXYHA35c7z12LgA66YHucRwPocx + /embQT8jAvYz3Hjg8ohPdVtLv34UNU5zX8EM1Tdc8+WV6ld+075YfwpwXa729I+eu+BB+uU1BCLz + +rvewNFZv7zNUmPOiDbTG4gqnb3PuLlqQx6fGHxMPcTXYlt3/MdfBVIjElvMQ8L0vJnwiFZfsk4O + ssMui/Xml/8Scc4/xya9GxB8jT0pQyVw+Dlza8R9qcfedhdoE7t0HtBE2FBtM2Th9BzlYGv5aond + pis5myIpk1ak1mnq6Fk6rt1nD/eyr+msFzoWLk0Boifb0zsTcTj2+8Ufv+8J+auopmqV2dCk+z3+ + 1aOwHx8LtDr2FxpuhiwlZ+R/5Un1EVn4oHarg3L2IG2Ump4wVOFgBaoHDWk/hMkkTYegT3Oodu/G + m/OrkF9DnaGnkzv46DPQxruZuQhEP6Wz/0r7/qW28o2ylB7l4J2+ukHVwYheBnW+mhmuxmwrgf08 + bbDaHMWqnfNykDWbEb6GvcY2YqQj/owqbGrHdzcZ1S6HBi048dWNqa3zL+7Rg5Ye3h+XoUMHb9Bh + eQ/e+Ihu1/Tnd+SV8QkIM9NEy6Xr0vjpB29VrIVqelxv8Y/vvA0QrRtKvSWw8R7On3pldJcr0q/f + M/d/K0KeSf7rXxLpGW27Yf7/6DMFAjVeQxSK99L8ol8+Yc79xdaaRAMG8tCplz7sin8OG3/VV4n4 + 40/Unz/S5tf/wFZiDdqoRXoA50d5wK7jl4iIW8FH7VpTqSkSEbEm1yWY1qaK/etiE/bqWf8CHoyC + DHc3dNg93b1BXKYV/uXx07W2CQB1LrNeqUL+08PZxnDpr//D4pzP+ZPrY80KLcQoxwLat/ELh5nT + hXT23/KvPp1q5XY8WI6uLGDj5f3xT0syxXIdrJbeuIcLYpc08tbmce0RwVY7/v71wy1fKanbdCoS + Zr2LtpeUUntqGm3U2beEl5eE1LLecTjNfAq/PM/U2WaO7PUcNim/ks1xP/IxzjQf/OtpRxpUi904 + nMGELJmUme9stP75gbBQG+y6PEJTlj8ZdD7vqbJxmqr5TJ0C23Ghe4Lk3bTpmbAAljeqe5DdR43N + eSia82VqGmXTtdLUSejv36mA//zHX3/9n98Jg/f3nr/mgwFDPg7//K+jAv9M7sk/BUH8JxX/nEQg + fVLkf//r34cQ/m6677sZ/u/wrfNP//e//pL+nDb4e/gOyeu/3f7H/K7//Mf/AwAA//8DAHICMqHh + IAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4dc3d9229b1-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:21 GMT + Function-Execution-Id: + - yvvltf2fi4jd + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '107' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 843ac424687a30a5c420c14d40332799 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - d8044446eca268792e84fffa9991472e + status: + code: 200 + message: OK +- request: + body: '{"input": "a question asking for someone''s favorite color.", "model": + "text-embedding-ada-002", "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '124' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6SROySrPm/vsVJ86W/kIGpZKzYxIZlEJwwI6ODkBEUESGKqBu3P/ege+N290b + F1ghIWQ+U+Z//Ouvv/5u0irPhr//+evvd9kPf/+P5do9GZK///nrf/7rr7/++us/fp//38m8TvP7 + vfwUv+O/L8vPPZ/+/ucv/r+v/N9D//z1N2nXAt424cUj7K2aYJuFS69BWaC5GXoe7sVlohYb1I6/ + KqgFrRFlwk2oiT6jzHzgT/LGf1+se9et/LqEZOxUf400lUmPT2xDVfkZPgCu0bS5xDWyHomEDfq5 + p9PqXOignhOeGvSjpJWXfgBOcQV0X39sY1BeNocerJ1Ig1e7asJ7lMhCt/Gorst2J10iw4fhFvX+ + 533TU+ZZXoxaaztT3btIXlsPggr5xgyxdt+/u7m7jqY8A05IWTQdogPv5/LWPZTUOGSeMYnMDYAd + M0ZW9srwpm7IQ9jG8Ru7Ybrt5snZtvBGmzf2Kk9DvXsqS3B3oov3j6fHxptYl5AVuYTV1jt4DQu2 + IkjOivmyonXGKL2YDRx8z9iz5iCaw6cAMrfZOf60P78Mlt1Ihh6smbA3PmY03swi38zRxaZ7alyq + Sd3RWY7HzZ6MsuN10qw1Kpw97koEx1cr0R+pBXeh3fvrztBTCZdmCaK73eA9f+0ZSz5joeTnl0Ot + 07f2mKjlBdqFIofdotlU0+jYLzhqk0i3LRjd9NVhD1vtjOg24d7GwF/WHMRr40VmIrxQx18g2Sjv + zsDO+ftBU+aFofLMbgq+Vo1UkZsYWco+W+2IsLsLaG7qjwz2kGb+e6m3meZdCeLhdcWH0Aqq8WmI + L/jMbPZ54m6ZJMpuA2W/d2iSSCdvngK3hkGGNTXWuRkJq2oclYlueuzgzK/Gts5CyPTQwep9lL2l + XmJgl9En0AsZ+vP8dk9VwxFuTTaflTGB/GafsV2ITiQ84Wkq7kcQqHqY045uNnKOorg+YS3KUEfC + 0e/BdzkNa+dW6Hpt3o+AyqtBFMX+onb/7XJYpzX4RGZtNx3GVke5X+X4UN3eaAykTwBeGgQ4r4Xe + mAuhLaAZTm9sjXWFOnXjleCNnyvWm0/nsdPWbYCSC/In/S0bUyVEAL68+VJ8SwLEqsfMQ2MFAb0X + NI5m6V6OMITeyUfXA2cQuxxVKAK9xF4Du4i83HpGn6/88LnrGFTMOfUXdDj3X7yVkdIR6zCXq+gi + bel2qSe22iUETSJ3xfY3lNhYC4cYVPYusSY+hK6/eRCgix1ufUe6tmysjdyHbbRzqUNjr2q5l6XD + IHNrqov8y+ij7U2Hxzkz8LZVVt4svK0RWpV8qQ6OgD56NTQw9o8aG92nrKZP3YrgSvOOumqnGdKs + cTKAflSxc00HNFTGa4Zd2r9xut0cUiLcZQ6W/seHyXErhr9aplip2PlL/bHpuO/20EvFTN3Cc1P2 + rrkMTsfbi2pv78VI4/oxHEL3TpB1gYo+hGaN9rcY0Z17/lTDoTwGIId3h6xuychYr8cvdO2oSCTJ + qVl/S7Y64MLTfUkcmFHvuY0L9eOiLnjVVH/qd3M/MvrDE4peWQ274476LB8Ra/thnyMwdew/c66r + erjoKnqvEgNv45PU0fl9v4DdvR5U39r3aLYqdY/K5yeiO8mxUF/AvFbQywoJet/Eboyi5ygX51uH + nZ7kxtjqCg9Ca/lYO52qdFL9F0HXw9Om2jpQI9HI0gwdY7Gg/vodoHFfdhZMD1mjhj8rKXvHA0Hm + Omuw5m1Ggz2MqYeEyFuqc8yIhOO+2gP/PA00C1LMJnTPfJgEbFN1zZ/YeI2cGLJebqlDYKmnYXrB + xGKPzOF654n2OntB9Oh7Mt8shPqpLxoYq/cKbzeOVPU3GhIwTXjg/ZtsPVIY6IJSn9epOn9QR9zT + AACkHSkORztlTvoNIZ6blAhfb+OxpX7WepsZ9L66VB3rB1eUl/4gkue7HWkeJwu4ihHqW+reE05J + NYPzWR/oWc799HuQBBGis25TJ4vGiG42c6Z8xCu3vO/IG6Xe4mCjuDrFDaTdlCjHFrqTTf0Vh0dG + 7mEWgiZ/eJ/neT/taUB8aF/7mV6LZ8Lma5OU8JbNhsYoDww290kIgX+lhA+ye9XnxbNWLL4NfJES + 8KbkiXUQG39DVmL/TqcHTAES6lLH2mXVp62sTiZaK4GNz0l5jBY8UtEUZT6+y9oesdW5y9BwHgpf + 9s5OOlNd1+FuKCp1MvoyGns67VG8snyf52wzGtvH9SQv/xcbh40cTR+0Ln98gHcruzaosknMTULW + W3r6KH01To7rw9E/fLHJvVk1Fp5BQHj6H6qL8Rh9yXsOlUfgNhi/BYNNxs4msDrnMt6yePZI8DUs + OIT2He+G+FnNNb8BQGQUl3412ai1IwdHOH2xHh9iNkryg6At03bUP+3NTljblx6c10XD24uldPTt + Zhzkhij7Vn1rq1E7dyE0h7jBjyRiqH8diwCS+aFg53SajGFEfovqGa2x6fo2Gq319wRt0dQY35IR + jQO6jQA9etJ9shcMGnuiBXfdNqi/ySPGctJxMK7AxJnS52nToS9A2R8l7F0PuTHfxNRC3VgWRFw7 + NF34Pvv1z8LHt27cW85r86IfiXrMKdKJl+sQ8Ff/0r29fkVzE19dsL22JFI4XQyWfaQ9Kv2tQ7ec + rHtUVdVCNqdLsPBX2jFZFW30FssMm8Iwpb3hX1zwdSuhbrjm2XQ4GDXE/CPGW3dXVSx+GiNMUwt4 + b6uAhoXPQLBeW5q2ZPjhjw9pUSt4Ow6OR73TyUUdb/V/7i9qVVEj+WKc8XaLwRhpv+bRRuI/1LyN + UceM1ToEpbQkataNgIhV2Xv5hy+m9LhGhOWGDVxxKBf9I3ZTEnIBXMr1B2sPye8W/CFKuykOeAdy + n/74SDG25ttfm2rTDcmN7UFvc4PuYymP5qsJFijVhsf2k/bRbK2+BNH9S8O6osdoWPQeqi/ZjfTO + mVXkUWT8ZuEfrPN1Gw1JKIZo6+LSX6m7As1+mV/QLXzF5IffvTwjAvfdc+9Lnt9WU/xUT8BWXYG3 + ck5SZlqIA/nuDFjdvWo0d7UqKjfRepLV8zYaDF08EW78OcSH5FlVw+HgvTYkozN2HP/EZrcUCbK/ + UkAxdc9Rc/dSGQ7SoyLcG75eq2VVi8x13tBDaI3V6I9diwLVXFHDmstuOG7rAG3CD8Z7BWOPf4b4 + JLEpHknLOzYaz5zHgyZpDRFPhzklTHs2aOlvalem4fES82S05pMnNbZ3DzGSP2UUaLy/8PPTmw6W + 38J6td1ix7jTaHbXZgyHzX7GNl59uoG/Yh7NonjEhjXr1SjYT16+7/kPvmzy2qOkn1swD4gnMseO + xsywnMAZlxX1PyGKpv66WfQXaESoxE9EvcPVh099iiiGe8s6cu05eY7pEfsXaeimyzMoIde3HcZB + 6Xe0uFkWFEfpQbHA9Gg8b20eXr3RYeP6fRnDbI+JItSFTviwlVICaiEr78rg/Hy7c7y5qekaXHSJ + /JV7FlICc2Aq2pOU/rjofWmbOQ1o2c2ij7Rpq9nKvAAMN1YXf9EZ4y3c7JGhlTe69FfHclIBWn4P + e2utZMxLKQfNK+eou7wPngyYyMJrZthaOziaNT+Uf/VDpKq5dqxDaf3Tl/5YNs9uvgtyL39W+E13 + Q6xVnb4zbXSKXEbtztAj9nHN+fd/Sb+SY6OpjYuPvoewxN72fuvG697Mobi6MlkfpoENmeJkcB7o + ER8YH1U97DYB8DJeEd7beYjxdtci+/QUqPnYthFDO2QhUvhH7B4rzhhl28lAPu1jbD3Ge9ffRcsG + 6MwXjmVnk77F16YEJrINdZ9KkI41uBf08yvWufx6s9ZCgha/5LM1iqq5PqbFz09S7ZoWRvc5agRd + HQ4wbgB1DevjDNiUjFS/bdVIOokTD9enFtKjrFspXbWTDaL1HKguIM0QDmOpyj8/IqfRDpFXLJWw + +BWsVtsAse+Q6ujnJ3biwLzxGe4uoF5dg7yEo9LNrwefQ0nHsy/mUlIt/qpUBJMXsf+gGI2C1sso + c5In4X58EFFYwy2sYyK0BWXzS3Bd1J1cSh13d0WDmgk5WkvcQP21rVWUOKc93IVmj+Pz6ZaSwl2H + SLJuH2wzZHYj6uoa2k15oHq4/njN0s8oph5gnZIPGiPJ9mVvvtTUW/zAhLqe++l/sgJNMige7yFa + 5Zcn4U9pacwPEC8/v4dxEkVs0Y8zSCOX0t3L9Lpeq3gdXqvC8aPL6RCNZhaoyjtxO7/3qiEabyIp + UEUHxZfoQiDz+3wCVBQW3kXtxhjt1k7gxl9D0vcCoBn8TYv660vA5ue5ZqThvyOaL+sTdaVg233f + YJNfHoET7fXyRkE+6jA+J/3nn9Pp/KQxdJt4R6/8Y5MO81Wz4ev0F19hPOumj6tdQHsHhJCsYcaQ + FGsbLfxLtcE1janTexXZ2CfU1C5WJWw0VwaF8RZOrbPm8ZFk7yEPQoIN7E/ehMcbjxQmWtjD7Vw1 + V3NsFerHHN5R91M1VhU18NM/NtOfVd/qAg/1hitJ27jfbuidhoNLcxzJO7RKRL98LcrOEF2wXZmV + N1+VlYmeyUel3nYzpBSn+IXkuzdQY9dtO3FzubdwXfkn7NybnTcPQcmBh/yDT16fORrixEvg7oQp + PiRciEZQ4QIae2T+2H5UJpZGZ8udd9zhpT9S4eHppvyQJ4dujy322NyHAVxRYxNxMCJvvNJyjVTJ + IYTl0b7jf3r1uJIFf2DxCo3aLinhEKS+v5LeTUp8bsXDFbU2dTj5kk4jshqoHyeV7pRLYYwTgxwt + /Eue11Q1psNY6sj14ou/IXBlY1O/cqhX547afhswNmprHwWa6JNqihuDrnYhgbKPJIw9f53Odf3c + wyPqebwrFFKxQ6quUeu8AprvziViT+hLGILTFbvc5Yl+fhK9IzUivZ2NFXVKxYIw31XUv5s1IulH + dtHPn9q4ihjbrhoTrDh4EMmutEoQtciCSzf7ZLxaU/frV3jRt0RgIA/GlF0pA5PDq88HmVL9yQOg + 3zyxN6K6YxUxXj9+IEppUo/x9+miXF/vnAjBtPdmbXfmwEp2GVaTr54KnSOJwEWzQcjBatJx/xXl + jWGcL/QcVuGSB6QASmlK2L1xk/fjMyTfPk8ydAIfTV0AIzTmU8MfJzMrfvGTcLoLVxzGhxiNtZva + sD6kG+ycDydvuoiKiQr5a2Dt4H88olVShiaWePTwbNL0uZvCF0T31Z3wQqB7otG+fEAvM6S3Jf+Z + 9weNg46bAl+22yKdG6TUaH24bbCpXepqCp/rNSIGX9Ddgg9zg4QaeWdOoFvLfhhdn88m3G79+POT + 6SzPTQgc61Xsb+RPN+7Xuwb0pufxuYWqm1ad+YL8XDt07+021eCdAiLzbPf54w9nbXNwN2c78fDu + p4/HwObAwVaz+I8gEqmuqwp2zB7/+ITNWqEq4qsd/JEZNJ3d0xvgndgdNdV8ZczWFAD0t3TGh+DU + Vot+DaBqPm8CXjWkYzCmGVr8BrlQkhlMV/FebhwxwzupFo1hd9qYP/9M1WfUsnl/cAA2D01f9Amp + xiZOCbo8vdjf9CT3Rnd1GlGj9yZ9LP01GTuVwOrqO9jM97toOi7s2DSG++MT1Kb0wCG7jkyy7sw7 + 6u3Ky6Cs1wQb+8o2BKKnIlJaLsc7u9I6MXwKHBhVFPkrbWMxtvQDIoZYYF/tztEXXdRYWfJEvAPt + my76OJBD7TsSw5+ebBR7O0R+cLT9uaJNx74OX//wnuYb7VXVv7zP/7qU2sleRcLneLflHvgD/eH9 + EEaFC/GI9nRbPoOKbKePiOapFKmXU9/45QW/+sC/fEMEtZGh2tsWTqTgXX0ft0QEn7sLpGm9BH0z + cV+gQ/4KaHb5fru+G44+OrsHG/un/asbH7dT/vMT2Ky9upsv+50MWls7Cx9evULLmj1i66dNuEu6 + YbPAriWc7tKVOp6aIGZNuQpXHF6xlTXvlITbLINaKQl2XXXuepZfahiy2fU3h9bu1m2dBWAcuD3e + 9YbLhksS1XB6rXV8mOobm+LmZMP5JbTUfT6hIhGnvuA+W+ov7+4Eb5x92Fy8lIzV06zmcLSI3N3V + C9a0XjKYmrUq1Gh6YPz5OGxmct+gJR/Gtqk2FWmO3gm88X2lxuJPpuS505HrQ0kXf5WS/HZc8Hwt + YGxXNBpvpnSRnUKoCL/PSkbq+ruHDUqYL6RSY8x7brIVWViFPmvDjvXlcZ1BH0YJ1WWeY4MzuTGa + +muBva/Q/tFz0OjExFaeeGl/frYnGDJp7V8JiVhfD5vXL//DWJm1StyPRYzuasz7H9UmXZ96L0s5 + ZJKG/b6eOtJfxRnOzygndOAN74fPaMnfqbqdCzY/vJ0Lu9frQK89HBjzDvYJWasTj63d/IoW/34B + 2r977J3Ks9fDpsihOKcdmY+WZghhVNiQbrl0OW+mS173gma4vKn2ogv/l5oF4YOfqXWovmy8NfcZ + 4kvYkttDLBY/Z/M/fUut7aut2tSjJUo4NBImB27KsJT4KF5rL3oon3naP26nDM71a4OPIvpGpNXb + GM3HeoN3wWo0RuMcmQBbaU+KTJL+6BVQj2KD/aW/yM1reLToV+yft7tO4nHzgjitt/70CjUmrud1 + DoavyYTLxR4NC75DCH7lo2W+ICVmYqLr65Pj7de7GbNwEVV4y1aDcboX2UzRQf3lYWRzKV0m5ERK + ZOsRS/TQCadoXPwAWrGu8Zl/9j0q36/tD+/org63qbiZJRt6xtUEsgR707tmKqyt45NMWVRWZK1p + oRL0OaXqKAhVf2vOI5R2r2Jvcz0b02kf6bA6yoR8D23TTeaaq8GTGo1mWUK9cddeQ3mNyg1e9Jwn + +pwkImtGmt+/ydagu0NDoEiohQ9ap7O5u64t2B6DAw7CtjKmH5/HqNQpVncqmq+KZMEhuPnUsjZa + JJwavlSWfAY7xOBZ63MFpyx6GKvby+DNnP/MYMFnf94gxIhZBckvD/W56ylD8wO4Ewq1bvR740W8 + 6aLIOvzmI6ZY8+n0GcTmjx/VCLTekkfnsAnGkC58bPR7y6nh/DzmFCvzs1vyLoCfPtSd3ZPV+zTp + IX2vY2qsEetmTo0JsOSUUPdY5QaNzTYA3S0tvFNfZTrlBWkBF47+y8eqicegol3j3rD307vN8Ex+ + /U63raF2PLu646/+CbUt1eOFt3cCVy+oj37v53BSS1j0Id3F2z4dPse7K08aWeEl/0Lj+lImQMhD + oy491hGLmhW3WeYT5LPk6WyU0R7UaX5TcyW76bjg789PUdOw+27JA3vEhSpP8ZKfDlXhh7D4c2rl + klyxZd6ILp0E/mplMzY/ikz85YE0XvhmWlXrEU5N7lPjehjTSXmpHMws2NKbt1EYPUhtAvApYyKz + 4cTmiFNrZdGv/zXvOIujiozelfHeeBFjmRfF6x/fLfM8b/LSV6ngbVH4QgtVNXwGroEXMy+/51fx + tF+Lf/JLs0jAaMPovYe1FT39DjnIG2Z7HcOSv/ss4wQ0SnfRB27iJgJRua94e320YSwMhv0JNSnt + nD6GZ/JW6T7lUo8EUspDEgwGdrTOSYdcgAs4hVT5SvnMo0X/2BC8T1fq17c4ncx24GXN38f4/PU2 + xjBrLEef+hL90edDEI0XkA7Vyueu0TOdLvQb/vCafIQ4i/if/tpc5ZbuCsWvyG++8VV5Svfpdu0N + n0FsofmOt2X+03Xzg7zrX/5CLs3n1ZGb2cngDl6AtXdz8v7knUo/pdT/6fWPu59BHMoT/um/ZmJ8 + Jt/QvcUuiY2IFa5wkaV7fsRG8ayrybFi96d/sCVfHYPclEBVlvnU8nyQQaZrnqD9eD8SxmqN9U+D + e8n5tpPwwWl1o9Fmc1Tc78f04R0e09/8FY4Y1kS2/X3VeSs/hms3iEQRcy1tUiUN0Lz++oQtedp0 + ifIG3icpoPuXoHvSksfIxrB2aCLoHZv0qvX/zFP127aImmHQVLT4dYyft9FrzluVl4Pd4UptpGdR + fzXXrbzMP4kAfZOyk7jhodsqvb++jQdvjLZH/cfnyzyH8+beqVX0yze97X1T/fgOHlmd+tTz42gq + yVUHFu11Ih2zR8Tun+IEL3lPqJnvPynNii6Bv39bAf/5r7/++l+/DYO6uefvZTFgyKfh3/+9KvDv + 5J78m+fFf1PxzyYC6ZMi//uf/1pC+PvbNfV3+N9D88o//d///KX82Tb4e2iG5P3/XP7Xcq///Nf/ + AQAA//8DAIhgdPLhIAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4e0bef3e1e3-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:21 GMT + Function-Execution-Id: + - yvvlf6849c5t + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '22' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - f7e1aa5667d824ffdc22c9b3a2311546 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - e80be91cc8cb1072e124d8609456adff + status: + code: 200 + message: OK +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2940' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"error\": {\n \"message\": \"That model is currently overloaded + with other requests. You can retry your request, or contact us through our + help center at help.openai.com if the error persists. (Please include the + request ID d18e0d0041203d240f04766f9875bd2a in your message.)\",\n \"type\": + \"server_error\",\n \"param\": null,\n \"code\": null\n }\n}\n" + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc4e50b34117b-ORD + Content-Length: + - '349' + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:16:52 GMT + Function-Execution-Id: + - yvvl5uno49x7 + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '30011' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + X-Cloud-Trace-Context: + - 559387b6907187493804c27758732019 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '88794' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 804ms + X-Request-Id: + - d18e0d0041203d240f04766f9875bd2a + status: + code: 429 + message: Too Many Requests +- request: + body: '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "Write + a concise summary of the following text:\n\n\nLITERAL TEXT: \"\"\"Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum + dolor sit amet\"\"\"\n\n\nCONCISE SUMMARY: The text is best summarized as"}], + "temperature": 0, "max_tokens": 0}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2940' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: !!binary | + H4sIAAAAAAAAA0SOwU4jMRAF73yF1WcnyhAGgq9wggviilbIsZuZDna35e4BVlH+HYF24fpUr1RH + oAwB0hwt1VZWV/fXcksHbUI3+nqXDm038kN9vJWHpYIH2R8w2b/HOkltBY2EwUPqGA0zhOFyN262 + u8vzwUOVjAUCTM1W2/W4sqXvZbXZbgbwsGicEMIRWpfa7NnkFVkhjNsLD7/un3248mBisfyS43Dy + kGahhArh6QgV9b+1S0EIEFVJLbJ9NQob8ld/dB0bGhm9oYucXcXIxFNBVafWiScnL+5delaXpFbh + 8tctitlFddG1EhPOUjJ2R+wyKk38LWrLvpDOxNMaTh5eiEnn545RhSGAmjTwQJzxA8Lm9Od09gkA + AP//AwBuqeKNhQEAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - no-cache, must-revalidate + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc5d8b8a4638a-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:04 GMT + Function-Execution-Id: + - yvvl7ew5uk02 + Openai-Model: + - gpt-3.5-turbo-0301 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '3176' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 78fb317ed136dbeb23921ccd45134139;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3500' + X-Ratelimit-Limit-Tokens: + - '90000' + X-Ratelimit-Remaining-Requests: + - '3499' + X-Ratelimit-Remaining-Tokens: + - '88794' + X-Ratelimit-Reset-Requests: + - 17ms + X-Ratelimit-Reset-Tokens: + - 804ms + X-Request-Id: + - 42784145c7d38006e79bf17199be9178 + status: + code: 200 + message: OK +- request: + body: '{"input": ["Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet Lorem + ipsum dolor sit amet Lorem ipsum dolor sit amet"], "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '2778' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6SxOyvJbufP+Kr74pZ5eIQBZ7htzkmqggYlfXKVEEUQSBhEtX//dT+O7qUz1x + QGIlkLXWc1n5r3/89dffdVpmt/7vf/319/vZ9X//n+XZ/dpf//7XX//xj7/++uuv//r9/q+ZWZVm + 9/vzk/+m/wafn3s2/v2vv/j/efL/J/3rr7/v3R7jxg8ibzjqkKNN93gzRz7WaETwGGAqqMF88dR4 + AzaPTyhfekJXV0nV12Jr2xBwGCgEKPA6gSZHBI8oI/apx+U6z0YM8nzs6XQ4lel8kmcDks+zJI7H + duFwIESTeyWnzG1aaa7lbjqizDcylonvYKavu54pbdkTolOgbU8tuYLDrgYWTGsc9q976iN+wBz+ + 0MnV+/1h85V/+91l4lPvq0vLo3A8dnicvG0q+LF1hOvmJDH7/p3a0ceeDNq6vTH7VRdl7/hNjroi + DDCyozCd8qzJYI1snQXhJpjnx+uaQX0pHbKd4w16KY0rA4ZCZerw+rTN/SPH6K0IG2LaZtDSKcg4 + aOpLydyVpLVDG3iG7FSZhBm5v8rpMh472Et9xpwW79ORywtVER5tj+XC2KFx2gxf2FajxojcDx4V + uLsK9Sf7MONdn1qKteYrqW/BIoGuvOfBdUQRTeFUkd/5zc8k4eB5cjk69IzTZ/tBa1SBi0jgyQ7a + FOklguf42jPHNnApbFD0hW57U1jSDDd9Di3zK9+Gj85w8G3SziqzI6QDvtPKOavhfJv6GNSzWJPo + En9bKs7aE03WBxOnGvR5vNCnBffV/UaFBLbh+psEPJzu8R2DYt/KuT/0FcQ0vODC14dy3EuiD44Z + BcQrVbucofNU2XKTLRZy6Z1OJ+WGkfS6hr/zDOf0PdwU6ZWExPGuedgJwvOqxDAHZOvJXzQdDF8F + TVBEZrkBQaMgXGs4vK9fspPLrqWBmhzhyB8Mgp2inCf7xmnyi8Kd9tOahkPv3yzwCu2BW8HYeqO0 + WavoFz/kE+3bSb3mR3n69DLxWofqs8AFR5R9X0es6IqJplC/q5AaxYF4AmV6d5aNSOEPzCVaf+Ln + CcbuKZs9x9iO7UaPltfJUoz9dSJbFCI0dK7bgZt4iOltNJYzasYvqtEFESsOpXSO+SmGva3eWLoT + rLY7bFsbQOGPJB7mIJ15jt/DVF0ysn3Uh3S6NPYL4MjuFF6fZzujRqohl9MaCzt9lQ5Ko8mrdpA/ + eBDVUh/fR7WDraNHxCkPXTgNOOBQLu18gl3NTwcB8TZMVZrRwZnschJm6Yn2TiSSHalrvfPi94Su + kdsydRkf0QZrkItni2xbekXTebtRYZC2e2bt9EfaGc1ZRcv3JljR5ZSetysNpea6Z3glluWIPskE + O8loiX/xPl5JjjsbguKNSKaZddqHgiqAJWUecTXSzRPZoQRMdU7wJrxZrXDr2wj5K1kkVrZXwsa5 + mlfohnJHDO1EvcEMCw28Z4zoylSztKfbmkeHS0FJEJ2u7eBbTg4xmd9Y4I+veco6iGFo5hgLh3W3 + xI+gAXc/aCQIYzMdPauekEEj8if/vte5s8DPvyua33OiD1XU8EjddCJx0oaFzZldLCCbm4XlqyUi + Wp21DkXKMyA4p1s0HsGp0HAJVILd7ppSvYgSyHeQs91S/8ZiWPEg3D8eXaerUzpCkWjQrNU3wYUk + hmyXeDk0E6cTN4iLdMSadIVwxRGcu7Wozzy/nxTpZF/I9hxb4TTJzRFgKnriVY9cH3DQfdHO7kzM + 2rugT0P4oOgi6WvKZ6dVOX2vwg0UnNRMp59d2xmFL4N29mq84c6tN2i3rw0rh0bMh3ldtt/TjZPa + 4tsT1y3OaEjn2wv0XPWZ1vFdOGgv/gjl4ZpjwHvea07rgwC/es9fnp03HLkvhfVqfccLvvy7HqgX + xWV6cuHmz+99T/6wI2n1UL2eHmID0ImtqRikZTuZafpFWwsmFvhJ3LYfXPMgvSlj2x9eCPP4hI2r + 3Zk5q+M8vl9CDGfnSjB3f43pOMqSCvWuPlOQ8kfZcW10hOeO5Mx9dQaieB88kWw+V8S6ozikaX2o + IJMsi1hL/aR54wPyTk5J22e7LccycTJ46ZuauVjgUI+1MQG13QCdp9Ty2HZ6yKgb1yXZVWvL46M5 + wXDuJYkyQRrbwSZSDaqT8Mxs9QD1RnypUe7qGnE20QV1/Vas5PTghiSQpymdI2XOoLCOL2J011Lv + L80+BuprT9oLjT9PM0xf9MNTvfqW5Sjo3AsprIiIF5knxObNwQY+iz2iFa9jOvLG+wV7q1PZISoU + 77u8P5xoLS3rS3OnPp8y7OR0R0F7HNrhQHYqGJz8xkKBu3ASB9cF57Le4CqXzHTBvxqE25Fh5N9F + RGvsVGizmTwKJ23b9pF49OENz3Sp537bSxtFQ+m7VZjOCXE75JTzwXhYJ8ytrTicz+MIEOFMJwbf + UX3qnRJDfvav5LZzVmVlB/aArmOkk+xdnMI5FakFAbhXYr36ch5uw80Hzkv2JFrinfrec0DO270z + 22oErx9VjYenvveJfkaTPjlRK4M+tQbBjXALJ7JqfLCv5EwRO87l6J4DDdjllVMZC9k8O45Yww4z + hDf0ULTj6ilfYXzRG8MX6zX3q9Z/gsRzDZV21XbujhYvQsqJKh7q9On1w/5jQSJaEh3n7R6xc1dj + 9M7UD4UD89oN2wsvCJYd4PvrEA7q/eCC0ok3Fu5v17mnvhFD4p48ot492xu21/2A5og9iZ15qUdv + k2Kh6bTTSMCeYthLU7mXeU4s6EruB300K0uE9nidWWCT0Rs6Q+SgSlVC0nP6Kcc9DBXCjWwzLaca + 6ovCff3qEeVjnW+7XZDvUXyNTBbm2xTlu0Sf4Fh2lJjpah2y2VAM+IMHOd3Ow6geK0V73jDLjtE5 + /K2v7FytIDt6KMo/+JQI6pmY3uuFxiq6WrBmhx3zFjyf1R67YHX7mVgL/vVlHr7A45UZj6lrzHyT + 3jk4ai+NZAdHRd37c77JWtHZC97V7eTedsv5VTnm6vaNvulaucEZ7Q4U3vdJH21SiMpXf16I1a+5 + dJbWhi3PVkCJdpNf4ahOmyvqO//IiF+jcNZujYjmOYjx4O5YOe417Qq3/TTjVVh99XHwTpHMtX7O + 8CVt5+kkuhks9YAFXDXMY9IlnUwvnMq0+H6fv+KguaAot4kRdduk0zPJO2Vr1jEzW0kJ66O0hz/4 + YeNK9uYN8kW04AEzy3SYu2TLnghWLmXmWVVTIXt9fQlnuk+nSMnTBQ9q5BdKigsWHNPx/egqlOZJ + gAfnvm2HSyvd5CqwRspv29wbXKLV0JokxYonN3OvR/YR7J3qUMWwvJadNx5F672OsWxSIxyCkzDA + bSUAU8WTqwtIEuof/8YrQTqU44V+LRCy04EZ93Ysv/rNrQFLtsZuTXUuZ4doV0BReiF+g7iWNsnb + +tVP5lX8Tp8e/CNDBa8diUPK9zxIojGhryWdial/8nnIntsY8X1l4uHu1d4wKVcXLXoGKx8ZpeP9 + mb9k7zC8mbk/i+30rO8c6h7JlSV8XOvzaL4s+dwjifjgfMqedzYxSkvdpIh95LILVbDRN/YOmF/q + 76tJTxxsvEhiBraGlm2G5oqSargz/eN1+pwOKQcft2aL/qFhb52+9R++ZLYvIR3pthYgT3KBJcHw + LfvI24nohK0SixZ318caXyK46q8T0W2XIXab+gjgEWeEmGoWNvfesNCit6ikKrJOufJQK6GxuRLb + gc4b0ta9gbe/OWxnqG1Kgb5ckE7uhU6u1qfjtuO+v3zGE39rwlGP7D0ox7OCC26a0+7ehwKo8csn + WwPAY3XJeElsHgEz6spof/wTLhfypiuvqTyadXwEXL9OmLuV32jGqprD+OpulD9cqvYmd/Ie/fgJ + XvJzoxVzDfu1ZpBAPQbefBldDpLLx6TDdm2040kpAYrXlBA7xhv9F3/S6ZGsCGnvgkft4zEHkytM + 5geo1ztmpTEI0m1HLrbM6R1qJFnWZu1FV61NvFG9DpqSyP2IR/VI9RGKvabkKeKJ1X0/aNCjvQaV + N5yY30lBOynVUVUuZ+SQXTgG5VSe8khx1nTGz/sQotk+agM6RELEdmq/Tqne0Byy4CoT15Jk1HP1 + 7AJ9KAJeV+8inP2Ek9Exyni2bY3uN24DwZeJ+MeL1LKs6yp5frYqczXizzM3vCfYb4wKK1dOSycj + u6mIJ8KZqbAS9e5zaDJQheRGtKAw5snZ2Rq8OHz+4WdKkSR8wVT8Bk9OX4W0yGUexHOVsm3G6eHU + mupNqdN3S7apa6AF7zAAfSXsx2+HSA+e0LP3nliNN6TzMy8NZOafmnjscy2nr60KcOOeOfNPpesN + BzjE0Oq2xPDByefxp+fn7TNivhUOHuu3Q4y+43HHtns/1scgYQmsgrbG+8P13c7rcZ9A9RUe5Kev + mk+mVL/1KDtf7XLhZzkEefhY6qk3T7NmZPLTRAYen5Wajk2GX+iVJTv2429LPAFo6+bGvBD23riW + Qg3ceP2gPEStPj3vcoZGQROp8BavYdN4e0AzX05YkpRibtvdaCl78aJhQdt7aA6OgguXdb1Z9P3e + m6qzRmHJP5zz/qusV/chUX58+MAdXDQ5rn1Fi19AdF18tfR99SxY9sucXbVF0+oLE3yfakA5zaxD + asaODPSbx8R1ntrMm8k0Qd9BQqxuhVGXsR6DuEla9lCDL+r3/ltGmH6elMcD185VPAGwqwgk8C5F + OkU2neAS5R4+qEfsrZf50OquRCXB0cP5sP2KYrh3VSwfs3QetC9W4UXcgATlvg/Zqg6/IK/RG89t + dChHKyk12KSI/PQ36vOXC2g9ejLTp6HXxzwdeOUwxzbzC9v75ZcKUpyt8beLtmjgKu2JDMKnZPd4 + 7r1BRIENh8/dx7R7vNKfvoJZEwYScIcGjd7B2KPg0dvEk4OqrOVP/UTrO7TLeQ46rfMVhnl13DKr + LrSUbR/fI1jy9GHujanzmjf6CqnOladr2+zbWf3wCdjBdoWb8uCnbNLaDuxKuDC9Wn3LsfH2HDTv + qSUB2knpfFINGe3Px5jZA229MduwCrryxAh5aGbJf2KEYYxsC8sFXaMXSB9b2rlqsdQ/E/GTaCeg + mXuBGXGSttO1sjHCTOKo0K0oGg8rh5Nz+VIzrLE4nddjkiB2UzLybVoJ0aqosLxLI4WcZc3QF7wC + cJ80XfhJlrL3baYQBEKM5/ButkMfVT6sOu9GhS0rU3ZnHcAzKQDXFqd4QwJ3CspBL/BhyT9We/kN + BM4rMIveq5RNq/IItmCFmMKlC6e1xTDo2zyhw6I3x2e65WH42BnT5+rWjvePHMHGplumaaaT/uEL + VYe21GhuvNc1+aeDexYPxA3aOvyYyfREW77L6Zo+3+mgDnj46W2ytx5TW3WabcEfP2OQaNlur/sn + EHS5ErWGbzml6/UNenTzcbH4Ld2jed3QZRfNtDA+a288s4OhHN/jfsGHWB/0SzOBFQwrjKa91vLy + p84R8TSeBcYgtayxcwum08amw/seet2C5+ijmBusGOmxnUJRyhCGUmXGYYnxSW72aH9BGPM4PZdT + p6mWPNzeHNFcLQgn6SNqMM8kJpq+X6EpRQSjCx+nzPO+b2+8fScKan3jFn6OvCleuxay0u7OtHva + zeNqyPboVpwcug57N1zvcuzCdQbEjGW9bl7bGmjvnUXcOi/D0bPyCY58aOCjK97m6aRVKpQGsbG8 + 6NnpOr+sX3wy68RN4XgT4xcs/jGz4zLTu+01GeB43kzM1V4zmnZ7x0VT0RlMf5TMm6tXzKN7rjQM + K/o1pEYoPkFdGyrblmOMxo2yHv74RfaYSHqXbHQO9NXRJJpVnuZRZk8ZEpmNWOYP73lo7DoG5l9s + vN7BDtEBJUd0qOwBT5l5ncfbO+dgyVdifghJh5N93v/8Kcwv8TTyziqGIvI1dtmhev627hWLPz1h + Vu9tyCvl6MLzlYgsgbDz5nYnGTK+fjGGnfNoh/LJU7hO9YN4JCvbGttHGSWOxvDsre0WvY6JD6v0 + bS365ZR2Pk6/MGv8wPx7TvXejfxaytcUYxmwM3fvp0nRMp/dNw9I5+xz5UE/PTqMWgd7g9zJR9Ds + lsffa7qal+9rgxffV4R8s8Kb6PZgKAq+1rj8Zpq+GfRjh8LYEYgR7Lf65v52MrDbYmYW6J90lL8X + G5IrKoizq4p5QJOvAu0qEa/lcDe3Rly4KHlnW+IooxpuvvePAcfoxhM/qCx9PZlRBX54/2Bu0V+D + mcjDj+9g7thw4WSfX8c/fr2mEEBjIkGFsiCR/+g3dpFOhnJ6XFd0Y5+Oafd68DFsLW6ib+HRpP21 + bSgs8UvMs8BQs/ArcOfjyAinVt7iN+ZIUR8e+/nt0+198YHgdKIlwlLZaefkCtqsvpg/9L4+X+db + DGNtXnFxjqt0pNb0Qgu/ZQ7T6DxnIxeh9N0of/oNox6pe2Xxu9h2brn59Yln/PMzmJl+aTg55OhC + c/JP5Ie/vJn5T3TLuj3RlvzpHx8vAj5fGbTQlQqxXaLnEL7aLxUd8L2ffoWzeLuQO9uSeYjmxEev + w2gx7eQU80gt+YUs9SKy3YdPvXFStOTH3/79fy9dPeVdcHkwhxZVOp1E7QbtIH6Iw1m7cO0c0BF+ + /MiHjJaD+lVUNEj6nnKH7IP41ykRwMTug5BdrpbCvMlluJwlh2j8OKTzJ5RfkL5OBbP5Z1MOyfbz + BD5XDKYNoY5G92yqkEm8Tw7G5+RNe5I9EWvvR6bvOt0TEN+J4B5tE4+70QzHCB1fkFe3iJ3ZTfT6 + M/8VUPtUHGZX9kMflbJJYKlvuNGnMp1H0Xbh+WYRlq/pA823Pn2hh0grrJT7IF0v/iXabFSTnLnu + 6E0LvsHqevwSO+dLb85bpQItygfmitc2HWOTuPISr2Qrc9E8xFOB4bXKZ0aifRIOGntM8OVbk46E + OuF68c/keRRlzL2eajj88Mf2+hIfcX5B7PE6ZsrS72HOOW/m4dF1PDg7xWQB2zI0Sb0zoXeQHYha + RH3LdifPhZvhjWTpd6HFHx9g16KQeUbOo28ojplCbuc9FZd+1FJvLOg7LmGmXGM0VVis/vgftmX3 + Zes521r50w+pmInmg28lkNTCigX0XCBWPUwDplLLiQqrxJt+fhwJzJj9+BhFn62mxGR8k21U3L0+ + ltsKNt39zSzJTFIhllMemGhEzMgbtRVmzc/k3eWY4vXUflEXiQX3J58+j+egjxuqPmHxb4hZWg6a + HHJ10QN2L+aOYYx+9Q4t8UPMffco6VqQRMm8J5c//KgRRlsGK6V3CuB82mHxg5SlX4FXITrow+5+ + f6KPsttQzj3PYdfkjILgdRfMv3fBwr+nDJZ6xZb+RDh/wumlLH4KVR718AfflLe6cxkhk1fOxFeu + UN3ilk51a6H5vNEpWq82dzwo0UMfk/GZgTccL2T7CL/hdJ62S3NIspgR61H5p7+WFl1DDpNXhH/y + g/Np9zuveaM0Wg2i2O+o7PoDml7Pu4+8SToQjL0Rze4hnNACDhj4wm3pZPoCCGCsCAnRqHexYnTQ + FnVP9GrlloOoxhwUn8uebMPnDo2re/6FDB4GFpb+VlNdSgGiAfm45jf7cuzOGf/rb1Au+Drhwk/p + rx9HrO6UoxF13+cPb/HQkbyk1S26Qb8/n3G+PiOdXVoJozaPDoRwqqUPTez7UIisY4tea1kdexw4 + u5VJwR2h7AgRNFj8DqYe9yedfoPrCwoDbBKWXfTHD0Li+ZXi6q190TAGwk3eeLFEML8rwoVvaHAq + womY5ecY9t055sEVGkbchQ9PvP/5w1cxH+tRO73OIwW/WKXEv0d+OXi6aKMlX8jO8H00PN9rC5b9 + s5/f1vMbp0blCAK5npQwHc1csRWZ/zj0Q++lNz5GyoNw5UL68/8G7WupaC7iF4aiCVtmnmQXzo3/ + +NOvZs8kAeRtMaGKAk80rcH7QjsRnRafPQ1HaJ4uiH64psRUuXDab+UvPBI5xrlYeOW0Br1GWDUZ + lU+hGfI3edOhn770NT5peaMwRFjqNeYXf4TH9lX+8Rm88fimpIOJeKSdnZq5zqZBbKOfDbSsz7zQ + UsvNkftmoJcXly39q/JbXmUDvVsw2X45n1nuJg3+/t0K+O9//PXXf/5uGFT1PXsvFwP6bOz/+T9X + Bf55vV//yfPCP5nw5yYC7a559ve//n0J4e+mraum/799/co+3d//+kvi/33f4O++7q/v/zXwj2W9 + //7H/wMAAP//AwBEtzLu5SAAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc63ad93ee0fc-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:17 GMT + Function-Execution-Id: + - pbmeiblrqfms + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '36' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 291f85b7147806b14c87634bd0b0395f;o=1 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - b12233120f7ebfb311f5076990440c22 + status: + code: 200 + message: OK +- request: + body: '{"input": "a repetitive and meaningless string of words commonly used as + a placeholder in design and publishing.", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '178' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1Sa246zyrKl79dTTM1beskYAxnMOxswYE6JAZ9arZaxMQaMOWYCubXffQv/rd3d + NyUVpqgqMnLEGF/kf/zrr7/+rpMifQx///PX35+8H/7+H8u15324//3PX//zX3/99ddf//H7+v/d + mVZJ+nzm3+x3++/D/PtMp7//+Yv/7yv/96Z//vo79PotTZ8CQ+SSti3Y50OJTUc/MaKOfYyULMyo + 150uzthvNB+J8YyoI2hTMUdXPYWvYFRk3hzKiKXYasF89Tdf1Fe7Yty7Ywg2PhjYeZyrbgjddwub + bI7xgX1P3ayO/RlptdbRrXJv0JyeNgFo6/ZLncgNnME03yWsmPTxp4sZo4mkXxmcR3mkT6qSbixb + X0Dlhk/8QmhttBnETQ+H4vSiarPyNfIRrAAepu4TZpztbh1TkcAmcHJq7LW2mAzJVKHh89wP5K3M + RuRnIjiP6uhLl4E4U+5aOZQ8/8GmYikFjextpRw5Mcf3SqRsFLWgUp7QX6l/aTZRZ/j9LAdWVxGl + 3sdoWmWNDPe+leg+XKlstHn1it71KvWR2zvRGNidDgEOdGq+nMqZ5IICzGbHCDpL36LfV2dAK908 + k/WqcorpvhF4OOwslx7796UbL7tND9mGGzC2TD1iqzMqkWKmBLvXb9uNfSFUcMq5hjrU2BTUFD4A + meDcfGkzqc70yBMXmh154q1zVrXNR34K6DSNJj2tjQqNG0vtocHIIoqcK0l7SfNW2XvdmsBr07NG + W2sA93bzweqy/gP9KDZ4hefh8+7MnCYhYaXk4VXFuzY1u3rlSTxcFN/1h9faivoO2yrEhXUnUW9X + WiejbFRe/VmgWj1etBGh2AXmGC09bLPaIbt1moIkfiZfure1xuwg4OF7Dzms3lU7oV7S2BCN8Qkn + S739qafhxmzqH6XRmXnj2sOxMBDemV/DYbRtYsif5QbHMyJo2ESfHBpXCokcTq+C0ochQPnaNj6o + 21M048waoXx6J+o2Oy0iU/zVwfKGmAhZ9tTm5HZIEVNkSrhNkbJZqsde8bHK+xM4IZvv09ZVnrT3 + cfTIbDZNissD2mgDEfivl4yahmXYmJDj7VsbksklrEe725fS3dbbRMPaHmM4WZcC+8fDXDS1ZQbS + 57M5Uz3amQmTUTbD2RnvOGxWxJkMN+nhuH+usOd3oTa8pFZE9mNWsXbJMsaCWeRBbzofO1Q4act6 + kxVCwsbnc98ranrKfCWowhzrVZcXk2k2JehpeiXo8KjRRAf7CnapqFRbP6/JXMtaDKOyDvC+e6GI + FOHkg7auv2R+hj2a80txBsUIXezz47GgfcBlIInfiUh9i1jddLIMj9fRw7uCP2vzgRouuMWVo/48 + 7IoNOEWonN/lGZsvx3A+z2djwJ3WFD/jRCp6cXOzkVt+Mrx13VUx1BYO4N2XBj3HQcBm4HdbNHzK + GZsxd0AT+75dOIWXDT60cZH0D3tSod3lPbWF/dkZcnebwyw/RYxjft/NQXy4olvOX7BreRNjhjrc + kdnlO3zo9IwNtjFn4Kp3D+M6zdBoXa0KSkEzyarcdYyk482WSfQdCKB4FTHV8isIlGCFt9PT0Bgn + SwRJ0bWmtqGn0bD7HDLwJ0HGO5ZOyYBShUfIFAKsumLssD4QMjA5JPz0WZtFKXeV4cxiImd7tVu3 + +zGEqIgdotxRGjGn2WTIWV81AnO87samHFrAY/r1uz6yI/bTz7c2nzDWN2/Ws3iyFVPMHXq4PdcF + jbidDYs+YH9LJUZOwvsKWcsV/sppqcYGcdVD2tKIXBf9Z7R4GODdfInUcsU745yNGXo+zIq6lkKj + ZX1CtIqJ5UvfS5Owat31cB82iS+E3hYNoRQDFI1LsLMPH9GcmbWIXPXq+VwstA6bd5KBniHZE+7S + bBJyoL4LzYpeiKyVUkQ8azJkJG52vqB8Lw65kY8O4qHc07ukjs6sXYcKrda9hL04uXWz//y0MK7q + kkYP7YRGEZwAmZwk4H0HY8QGV7/DIbVO1FllY0I6zr/+9MsPz/MXTV6q+vJ7mGtq7ULbYfzNGuVv + eQyxtujb1HI5B3KXCPQQBZIzXQs7hHetpHRn36OufcI1QwSSlNpLfyGFfiby+pyP9BDbRTSZfCyD + h90PDo0rdaauKl2IFXvAungd0DjMNwOtj0OFsTABqwOuaGFfPb/Yq/OGkcfO7n/9CJtP/+yw3Tes + IFjr26X+tWR+XcO7ImZlgfFIBoeYzsYCixUB9fI5j6b1eL5D5XcmPgglLeZL2AWylPuGzzIvT+ah + zkdQ5IDRx/XbFk1x+wrgeCP7+Qk0TlO7RbcT71FbyB2HcMD5aOlf1FQ+czHtr4khay++w94RxcU0 + 1tcAXvxb8Dd2LCaDS1CPdoHv+4zd62goHzbIy3rgm5cd2dxxxhU65+JTz0g+bPTlugRQ1yfq4u3L + mV/7/Qy7OvHINpIENh7nPoTmmek43RQcInttB6AcAhU/bpdaY8WUtahokwDvjvpeY6CnW2jd4U1x + q6NlPxwsGC3tRPerqivm+xNV0N84REb/QIvxnsWtsloTCfsvVqDhxY+jwgr5gQ0xLlmzHtM7gJyW + 2Eifnsbsx9WFR6xf6a6KkdYP802HWy5cqBvZTjGIPrsi8nR31LckI5pu6dWGLj/1BJUSimpvde+B + 20VHwp0qsxiX7xFb9RoNkmiPNsnYtehuteHix4yC4CvKxOx5+f7xc2zyxhTO0nRa6g8j6jSrDITs + FGHNNUJn+n6TQLbU/EXC7+ugraXztoUzV75olHlqNHZY3cJDEiM/D0JN45OzeIfNedzi+Hxs2Kx2 + siuqjxtP3o+SsT6wCx2Ekdv7pXURnD7yK0sWD9Uem6M4RdOmki304WseeyohybSbLBEOif3CunUR + tNlOYwLd08qp+5aB9U4RiAq9ega25KjrPnz8KJGx0weCtNWBDc/jmygcfgL11f7ASD0LhkwnVaT2 + vS4KcvUmC4mq8qX7dJa18ZVvezFBYeX34DcdE8ujAbEXp/TJq9duWvRVVDdbmbqfb5yMamK06NeP + VTiQaLQzZURaurv4ZysanFFwQUBGagh+Jj8xmk9qzUNUZgPFhNsX/Fq0XDBdc/KF2bSi6ezMFVTT + y8PbmO20zXrPW+hisBfpInfUFr3zIRUyRD0O82yq+v0VdulVovvcbbR+RYYZ8as8pHY/F6jfbjYZ + fHY8xfrIpazru+sVtl3J0/1Hyjqm5tkD+FUW0v0qKpyZrbQ7vJ7FlVqZdHD49ZOcYfEDfn7JP8mc + HMGF+zvVqX4o627mHmoIybfhfFlSA2cunIKD7zPkCb83o25o7PaODgKYeKu9OId5ntFC882vf96f + kEn+GRa/hLfnG0Kj0uY9PKxwJMvzNBbMI4+03c4nX8VSunpdshKy5+mLPRHyoufHGSA3yjtZ7/dU + GxJyL+X+dJjobuxKbZgUXQC5uwlUrzq14EflfQfX+6j+FN2ViPn4PYO6xhWRldfe2bBmDmGpD399 + yEttRrpcIVpuCd7zzRFNm+iTwaqRjuSdHN/JyK8HA9YmDenh3lrOmEaVC/i0fpPvvNeY0Fe4RgeB + M6nFF3qyDq/N9udfKOacjo2ZsA4Bs8eTGnp16oQqZy1kA3fzZZPs0UicjQCKEbjU1I9WQc+Cy4N0 + uMZ0y9+3znTQL3ewxuJOf36B5urdh5JpR7IpnVEbf/txe6zeWKMBYv1jfOnooFxmnx85DvXpHaWQ + GJ33p//MwZYf4TtFD6w+chqR46i5UCXNcckbZdK6Xueig/0eCO8dtw6DS94q/TwPRHYJZuybv3S0 + junDV7BYdmMZ1Bao/E7H5nQyoklRwhFUxOt4y9lmMr2kVoYhKVOsMmnH2FqCHiINIbqVnxRN1uNs + QdPmPjauwwf14SBbaMlP+EW4fTeJ+XaLtmnZYt3UtWK9qWQbfBu3PtB37cxhd9PRGZiDjQtLitmz + Jh1x6fFO9+sbjXqHXkPpSKKR1MnDdmbgD1tZLMobNncx6Uj7vKe/POX//NPMBbYM267i/bmiXTGH + wcaHbnJsvJ8PLprCa6PCsRQxtYTDy2HGSd6i/Rxh0qnzJVr8Rymbah/4c69yzuhnfo+GXeVQdY/u + DqU0eQBXR8QXAxVFw6s6h1AJwYUaSRZp086mLdrEXE91vjtHs30xH4g8/Z3fpT2HCHbBRlqqXSj2 + v402k8N5RsjmDRqtn2Iyc8C5yFd2lBp7Vmvjs+s5yFR7xoeXIkeUv21n5be/3dd9w/rwLc9wqE4n + apyeRTRb91sNUvp5EvHeu9302oouYJY+sX98JM680rUc2vOwpo6G+2ge+48A3FvWSF+UetJvN6tc + /vkVN79MiNw/loBOyKn/5L1RXdc53EyV+mU06WwkpkdQn457rJfHZ9FHT6tFQ1KlZHTdVTeYKLeU + Je9Q/LzcE7bkcTjGx6dfb1hVjNLrfkXNTH1qs8+kTR/gRBSTE6baJduicS91FZStcKQeFvVuYp4Z + g7J+NT7BN8cZo6dV//n/l/7fjWklC6BhTyLK4o+W+jLAGt93avIfi/H371tEyhA0eKmvhJrCwEFw + eel41/l7ZyxUr5WL6xfIcez0RW+dO0rog6P7d/hyyOFQW7B6iQoNwzqJSNVa4i9P4D1tvogtflz5 + vS9jurSInsL1DAuPwJeXU2kTY3WFpD3ryfeyuy1YIRRg+qQZ9qaV1Y1XpzZkZQgbItSXtzMnt10K + 9YYcCMIvsevuVvuAAL06vOTPZO7cmlPYWQxJAoPm8Mv6oQPjjliXPlk0vB/yFhq/r/B2d9iz+ec3 + PS85khG1efKpSZ2hKUldX9pmtTbr+BBD/mEb0rhjHM3t2fPhRGGmu/69KRa9LeF05U7UAhYUUzdM + DxSEjUykxa9OVtFdUXrKberTbat1wfUMYF7QjVrJ4d0xt7+3IA+ejY0waxLyXDsB4Hvd+eLyvBFb + GFD6HA70sNUip7k5To6WfE693TthTFQ2MzwN+Un12ZkidrzPBggK+NSGMCzmb6jaaPEvNI6mEk2n + iwQ//kPNuHsn0+XL3+FiX02cVtssWvyJDKudmZHv5np2RlLdCAqKoP+tJxvNAzFkfNq8fTm7ds5U + 9PBAz0Cc/NV4FLUu948VcPgFSx7QolF6hVe02u2zZT9qybq2zBDdw7byP6BljN7ihoeTpBiYbIoU + zdHVfUBfjzd8M6N1Mn7jzkfaS+j+8IZv0BXlLz9hL7JMrU/vLEVLnqXYt2ONXG5iBtO5U31opgyN + H/F9RpL52dJbaZrOJk7XFsr21pJf31Ey8UkjiMP3auCrl58TqtkNgeNZn0j52E0R8zy/BpXXdOqi + +BVRjpUPOHFjQLVPFnejSqIAXrth8nnx6rFpdwQR7tzDw5fPVS1YqKLzn/VzcqFLBnP7iOV3ML+w + qom2M9VJJAO7yRbJKT0lTXDeyyit0cqfe7C0dVmrsbL0S3/cSUXSoukjw+KP/fFRXZNZHFoeKetn + Q7hSG6PxqocCiIT5PqxJ2dVHacrBuyQff+Gfyex6nQ/5Z9rQw1O2i/HMX2OktupIJImftUUveOQ0 + ZULTFyvYfEJJBrBu7mSzm7Ri3VWlr7jVladGotQOu8VvQRE2l9EX4Yy6eaJbUHhjT8nKMsuoGy8x + +ZNn/bSaIurFiYj0Ou3J7J0abRw6R5CXv5dwRynQ5kI/93L93V/8ecmP46d/g/LRWg1rh4Oosay6 + xrDS92e6e5gcar82L8IIGvijLOtoSudT+4ef2toxYLO7KwQI1sbWV1YPM+k+K5OTzsYqINxTiBir + rPGONu1hTbWTICXjuQ44KHq/xOaYQEJz5IooQM+O7u5vjbFIQDJwRHTp063ziK3nbwrq2quwKjVN + NDhfksJKQAmZOv/jUNmsfYi4YktxOTURsZW6R4te+qsnjxPigdQiP/Y4n7/5Gtr8eOHSj4k85O9o + ErhRVtbdIFFsy8fu51fkX16Ky6NSjMXpHgJ0jUH9OtsnG0s66KBv10/svzQj2aR424Ic4B3WHtpp + 4T9yDkXjE19ZY8cR87t+RZ/VuiHrsvcdFnRdibqZS0mPn7w2//h0ddsohCZxG42P8aKD3j1yvxAu + edIf3IMPbZKvfK0KQmd8p1wOYq/I2J802WkkVPVAnOuA1T2StfZXHy73Ydi60LD4oHTNy9O5Uak3 + rEGbxrezhRMA+JwlGcns7jpBkgds48VfMbZLIld8ITvG2pLnpuTrxSiwU5nseRcY45+zCPaXE7HZ + id+kRrzPAT/nBzIJhLFxx7wrLDx+yQNW0Qt7WqGf3jgYhm7SBq5HfEbWZF3f9sUkna0aPkJqEU7t + D6jl5WMIuHpEdBfdn8n4e36xd02sS5aTTNE2DyFPpoJuY03r1nYoyeBVWCM8u2psIhNkv/1IbfGD + nC6eDzOAWb+wS76cRtxYfKDw0sf4eTsVBf0YpwDFl/P8yz/FvNcOHBrkCfkS2umFALevBd/kmS1+ + f2Is1XYhzBC5ZO2Ij2gWzokNpapmdLcz38n0GroMbYe7hXdLnmh/+a5dvas/8way6XAvL7ztx1OS + eeHHaLUXW/wc1uAs+7lH57JyFz4jaFOdNzb8eOB58LioUT17/OklxkEradPus8vgzq8lX+FwjGbz + 5Yzw/UbWMHSzq/EdUuIfjyKr3TNkk284DxnTNU/dciOgNZEO88+P4r2rNk5Lgl795R+88Lmk15q3 + Dcf9a0Xuq5xns1GsRbRvdUzN4zFMev3Y3mHg7wHeq9bJmeB95eRvr4cYd0RzNqrll7/PyfQoGZok + +xDIix7SvRHuus37fgVY9Irq7jsv5uh17H+8j+5GHzvjj8cuPP+X17op3x4s9OOn6zflnZl72KH8 + 49NWJjXO2LCtDRuTy31l4V39lD7vcNfWFtbcwnSm7F1a0Lsw4aMxgDP4hpaCCFebnjvZQXR0nmf5 + W0YhVU2rL0apu82yrqd7rGrJSVv4d4WWesc7/VKg+f7ZCr/9SM3OathsT80ZHpIc+S/f5p3xLS35 + ev218CF4Oqj18ssMv36rSTZFk+30NTqO+z0Rdaw7k2m+K3np11TPuU5jmBt9KIWdSf/wD1RpOsyT + cSEcCfpiejTZQzEbMvx4dzcEuReAonYl1W5FwCZJgBJuey/Bv/20zA/OUG/6w+IHpeLn/+A8rAZ/ + fp2go3BpWxhMRfC/u0nr1kRhIgTxyyfzY1Um7KzqIUpRvKf6I62S+SAkKYpvtrHk3doZzzcuhYVf + 4p2cOMmsfS0dOayk1Argk5DOzUD5Jq+MIO+wTaipIBfVqXih5uKH6GYMHsqmmG2fX3jC9OM36qBW + VD/xMeqUUFzmMygkf/I4c1RBWerFX3O3mza6ui5KLr6fyWbh+zPOtqNydI0nNZf+uui3AVnjYDIH + YaHNmWScwSxRQapEqbVJsneh0k4xop6FbMaH9yETfzzf49VrMeK8EdAvrxs+O7Iu6+zFn8kTtryV + Ey3zUffPPG+/32ONn9Ln9Zc3STvs+2T86Xkw6zY2/R1GIz3V7p+876OhS0Zyv59hvwvThV/fonq/ + HUWlmBKCt0ETF+M3LlxYZ4Xur9WP7Uzqfp3BRlQirL+nazGsPg8VLu/rx+c1fqexn18MKYqIYI2q + 8+fnHyxa+5NtOk6HinwLxu3YL++nKOYsqkN0MabXn7y65DEeHqK+IkKYHaLN6Dxj6Epnu/C0hi35 + 2QAhLTi6u/N9xLTRnOG5QT7JUKtGC//XIUFBReB2qZ0/9WlX4xmbsd8nTOlfLoRjbtAfH+6pmlTg + Pq4ZTqwVYy2IzIL+Mxb48bpv0LC5Xmo0XR9nUhSjp81XT7IhF64NQRD4zvS5XAWU06uD9/t139Hs + penADYboM7cwNTZEtxZ5I75gj6pk8Y8sVpb5pr/inA7N6ljGIIAt//i3Ns6ZmMFX0Cs/qYwBLX40 + hCQODvjCzXttDjfBQwlmw6aenD+Tn1/7kz+2+s2KBNNZ2bCKe4tqy7yP5Wroyks/wP6luSStfcHp + b57yh+cwGdUzDOZKoLaM827+fIdRVrrniVrBK4ga8T7PMMsvEe/jz5NNXdW7UN3WCmH37YeN0XNb + Q73VZcJN2l2beeaqv3kBjXDzYOTH58nkN8s88RLRFDFO+ft3KuA///XXX//rd8Kgqp/pZzkYMKTT + 8O//Pirw7/vz/m+eF/5NhT8nEUh/z9K///k/hxD+brq6aob/PdRl+u3//uevNfpz3ODvoR7un//3 + +r+W3/af//ovAAAA//8DAEwqicXjIAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc63dfc49e259-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:23 GMT + Function-Execution-Id: + - pbmexn5kc8di + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '28' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 7793eb63c23999a96303cbe39038fc6c + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - ad8d4f3d387595b6652d71076b51541a + status: + code: 200 + message: OK +- request: + body: '{"input": "Sample text", "model": "text-embedding-ada-002", "encoding_format": + "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '88' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1SaWQ+zvJal78+v+PTd0kcBkuDNuWMKYbQZMkCr1QoZSEhIwmADLtV/b5H3qLrq + JlIIUjDeXnutx/6Pf/z119+forqe+7//9dffr0fX//2/5muXU3/6+19//e9//PXXX3/9x+/zf9x5 + rYvr5fJ4l7/bfz8+3pfr+Pe//hL/68r/v+lff/3tJ8svlV+lXVErX4hr86DtGZaqBPGXTM4QWJct + s1/uuu0vFk4A2lFgeIV35sSNKVDv9kVllpCZ/rjpGwtlO8ci2rmTUy7XSbCWZeIRLCirli3MM0b7 + PfhML9vU77yaOzCpzgOPsfou+GDZA7CrHDJHua5Qv45FCvbHrQjWvhQNGcoSWCcSZ3jbaQUv3CiA + nTFe2MY28nYSat1Rq3y5/z1v1V9uJwv2z/uR+A/liKZFfTJgWXzvzC49K+2bLCnR/uaHVPLMizko + 1k2D91o6kHBEpj/4MRzQN9QsFiz2qfldv60TbBdhRnDKGj7hNw1QGdoRC4TjvXjbffNAephwWo63 + O2KW8T1Bp9Vbps/j+zLxLkIpFwyrq0+bcjtLRNh+l4QuHgVBg2IdNbQdPiExNL9GU+fbDvgfMmF5 + v2mrfpOdMliJQc7O7+jedjsqRLC5BDXxZU30W0r3ETwPxCZ69Pm0HEumAg4qETFu6ZeP2w/p0Jb5 + HgnM7FJMW+mVwcUtMZVraZPKlmQ2QKiyYyGL7uh9ML5n1O2FiDl+sm2ZXi4aUGrjToLypVV8k+kC + rPKrTSwhq0xO3a8HmZiURGtzoWC26XtwYmmDl9Y3TCczp6BM0/XK7O+98Tm86xoJzD/QdUDkdJqM + +05tfK5QNSlIym3TdGBzVFpmfV/LdmijlQDv3WlBlRgZqZzXrgam1gQk1E3bHA99noAYFicSViL4 + v/cJJ9mTWfgJo2Jw0AhQeKZK9PU2bsdHua8BkpISMrpFxadbdUZrt34wa9Hf+RD2uQHvsrZJeBKr + ontklQMPMROwhIuw7epbvoKitwmWniGupoUkX8Gj8oa5JH6mPMjfAXSLmBJn88oKjozvE4510ROi + q006LNDkge2YWyyH1scfev9aQxIt9uS33kbZP4iQtG3OsJe9zPHzvgSQFG+faKfs4Y9Ln1F4G0hl + ni271XCBdPjNH9nGpoWGY/QxYL3Ybim9jSPqdHcMYBBvhCrlF5tjCr4F/uXek2BCRTudwTwspLI5 + Mkf0LN7ujayGaPgQsg+okE6b18oC/dH7WNF8p+XoOEZIWq/fzF4k25Rn6tZAEnN3bF4/5vS5VRgS + DW3pWrIZp/6xNODj7zKs7lyj4H5+2MFCo2/mj4uhGvlr0KBE4wqL55AWTe2uJ3CjRUpRsuxTniCl + Af74Osze7seKunXToftqU5CLKvQV9d/BFV3dbsVsnNt89G66A9LuFrGNZ6o+7dD3g3ymMUbW3s1k + phGVsPH7J3Hkyz4tlXxZK5cw35Pt+tGjLxUjAVarTUl86FaoaaLyAUXxDvFKkd10WYjaVfXzpsbi + C91NHpcXAX2X8ovoWNm3PImNEwxuQ/GiGnA1BMfhqpyn1iTGs2Gc5+pNAdDNjhijtU2HY1Qa6jq8 + fVkgxldzUlEmgkA0hfjdlxY8rk82CC5d/PSM80wlBir9N2Z6v/HaUarz4bf+mKVvfF+k5cJBC3f9 + xamcPfhwMz4iPK5QE/MWm3/qB9Urt6HiQf6kDbyGBB6LrUG2G6Ezh7GPPciH2iTaa9Okw0HyE5Dl + 0CNG/EyrCW6ig3YfItKJ6vuKl17RAckfPtMeRtZ2bpzUcLxvJzouR+bzdbey4fRdMGaORlm9lVh1 + FLl2gGz226ToQ8k/w2cQBeJt7g3/ip5qoVNEb8TcOFLapGJsw+KWTsza2LjtVuK9AdbnOXNr/Wj2 + zB2falc2e7ZZJltzet9OB4U4uku0UPDa0RUzEaY6PjIHg+CPRHoFUL7FihF6kdHrV39BSc9su4i0 + djnPjzLXE9EFySqGm1HK6lcuRiqt66Lg255nUK+bDqPFMUd8QYMr2pdNxBzhdi6mvefVoG9hRbQq + O/Fhri8Y3A/F68UkFr17XSWKL2ZrpkUNSf/0s9/8m9/3tRhqy7bhsjA45ZZntlNwXK3QWlI2f/oj + /xhRAxfxwMj2ZJz8YUVfJQhDk8/6Nlb9PB71TQyJzHprct1ngLwwkYjnBIHPOXI8pbftjvhV/ESf + MHMPkK/5huiPzCg+iRh9YGudVnRSzHPFhZ4/QUKHAk9DJ/PR6vMAsK4/iFvtk2LIpN5Ai3KQ2OmK + CpO+3I8CEvN3mH/i8zwfyQ7ebeSxTH+KiIe3agerBztioZGbaqRiJkD9GO94mPWtu7+FDiWHNMJC + aNop/emP1dsec5djhMZXjc7osTsMxOhNk4sXKAaFH1cSI9I9MMdHrcngRMOXmMv+XrEsO63gGxoW + 0d/0WQ1uuTQg9M+UHCSkV/SE7jV4/dEkzuDe04GCIcC1/CRkW+UL/pHNLoNFkbXEm/RjwZS3JYIV + IYva/aOvaIuyCZIkc/E1MYqKD7dTjdbrMcBIMApz6GJdRGznuOTyDDo+vo0sUOpJYrQ/XQ5p/6tP + d3pUzLgIvjnRuPCgZYbMglF1EXevKwrV8/3BpRUt+WTXjqDglovE0erKpIs60eCbnDDdZYHHRyOG + BzpMJ4+ZC/Zph0eyXMHx4pxJaGQWf2WmMaDjdkjZtZa25jRl7mpdRZ+U+Y73SulwLD14beUnva0f + pJ3KPi6hUYuMeM1RQ3Qn3gHO66vGDDT4aPDk2xMZN63/07/6jbGWwdQ+AbkdslcxgjEZsLpOOkYX + ZFRUkPoaXVahTGb9b8tlHghInnYm5fp2nJ9fLIH2AWP2+rmrvoz2HSxs7UFcP9I4f5XLCTrx3dDh + pO9NvjB3gWpTKMk5vj3TT1Y7NbLat4PZxzXQrH8yLA72wELzIFd9Kt9klLOthlnaP/3+dnsAXJlP + 8EKLCpN7pjRBOGUOcy+LyB+C904B/FZ6Zl0eoTk8rysHjGQtESu8GVXf9sj602+suX+1Dg0i2KhH + gz63I2ung5deQReTgoRaK1V90zcBDMl6gRfNmaec3XQKaVJzKsalbTJ0HBM4olEmluOW6ZRH4w5G + f3ciOnhVwfANMDI+qUA/p6zi48LsGng96iUje7Ou3o9aT8BgNiL4cr0X8/OvkNVbHjGWGSq6e5ZE + IDxvCdMf2ohm/26j90vRmf0q67azvEqGJsSUOQux8Idbn9vQR/KCLg/52x/jOm+Qv7BVLDquVvQX + KjzQz+9o1/xVjXavADKe2ZJ+6cn3uVS7Bwi+6IqF+81C7RJNE2A1kolNjlk72Shr4NA+BOJuqrhi + 7OZ260V7XeNF59Upv4pNgH7+b3nQD+1w9FoFAu2p4eUiKtse9XGGdKNRmXPVZd7tclojXF/WzHTL + FxpyP/yg55s6GLT+nA5vz8OKLigxM8/1wxxM7ySguZ4x19zSbG8it5BzsJ+UdZ6ddvP40QJV21nv + 17w81yiActttMVBl5XOl1wBkkg5zPznwaUV7gKA4JHQYHZGPeyPzYCM6GtvkjsSbU50rwI2yY5tn + SKshvTkCBFqtsS0+ar7M++YKxDFdul6592qo8/2EDMd/0DWJn8Xw8VIL4aN4I3qxC/0pBEmBaL2M + 2TZqxYI965ODSjXomJks22qY+6WSfcuQ6Vmy8On8/0rX7nLmhk/J51mWrGDUPgdMh3CouGlkJdoX + kU2Sr1EW37u0y5AiW4zgIRxaNnnptCLr5o0XnK/9ocrAQGaOzrg/nBNES2NyQPO/e6K/zKodTrE7 + KOQq2kRPUG4OeXnZof3QXSmXMwOxbc9PgFT7gFdm/PQHtXY6SA5xxEhuef5nHq/67DWTBLFzLLia + pQaYET0Rq4syNDQoOkBS76/MOXeZPy7rpgHL9kYKrj0Ug+EZFqQr05vra6ymnTt2UD+jirneOuVD + i74BwoeixXXQHVs69XGtBLV2JJoib1uq5wcb5vxCTCw7Ph/o0gB83wzM3z9oNY6iQkG2LUowoe9i + /OXFWW/oevfxioGbxkcNl1OMYee7Zn/sHw7s1JdKr9oXozHLkjOsJv5i5ub2KKZCJgG8rcNIAvda + IhaXe4BbcZ6I09usGub8h+b+xKKm6CoaZVUJBzmN8cvdtAUPPG9CoytlrNBcnUtV7Blo7tf4NcIT + TWq5MdDGeDx++mZOijgJIJS1T/Q63/CprXVbMYfpQx/562iOW7Oo0fpSLal4FBXzHtweKzXf7SjD + /uHAJ4PKH2VzwfVPP/0pvbkZOhvl+9/1p7sjVrWjfGbOfkHQeAC1g/l3on3tntPJ+B6Q9chsZvYL + ivo7ikpUrz8d0f3YaLmM7goIkrCjwrf8FK2fXw9gX5WE/ep/wNkJK+G7M1mhZFa7TND0UYiYXAkx + k6/J1ffijAZjOTJjtN7p1ERlqcYRvTCyFM/V8DSfB3RW91vK5jw++uK3A129Xej6tqOcrsQ8gFq9 + c+bja15MgvSq4fk4hcwWcZKO77d1UE67d02n8tsVzHfHFWyKccJCMeCUd1krA38vTKJn387vl+Bj + 1PfGBrNt2rU86x81GDejx0O661B/zamIgnwZzbyjLEa15x6Ux2E/55GMszvSbPQ9xHtGnC/x6fM6 + 1LDPlwleXk9exYNbcoW4yO54+XTv5hCZxQnqacloV4aRSX/+WBCrkpn31zGl2/JCgdNJY8a83qcQ + 1H/7BS+N7v74fVMbXktVo4/FSIrlnPegOIQWs8Lbo2KzPkP2xAnx71D74ymD4MdLmP6mVvUnnz/l + eMesd1wVtJHODbIOeIHv/carBkOcDqBotTfnZyuV9fxqIbZdGHShRcgcN6pdgsEsRJXX+4bY8U3P + qL8dgYIYC2YvlZcPuudnnW38DKHxx1tM4rtUzL1zO+ZZtUOraXwRq14nfETJ5vlHj+O5voaupAlS + LS9gBB/vfAqNb6BcDBYz2z9I5iBfVxjNfoC+Vh+35ULWruB0ME7MEM5D1cZ1YsHxcLwxvdalor+j + 7AHZVlApWvZmIW99bCBZoy9GIBzQcE/exto3eIHRO/mk3IxFAey8PjKiv3LE7f5RAlyC6Y/+TF25 + l+GSbU7MnP00f8XFDp5krzBXuOzboSmDEqpc2hPjGD/QGIjTU3VytSV0CKN2PGXizMv4hZgNXMzv + slxmyly/xM2+PaKBkR2U8m7WeDGWTjXmZvoB/SqbOKYnt6CsRh3E6KHShynm7bBFd1ud64NpXztE + Eok+gTLzDYrm9UGdOpfR7MeJ9zUMn1vJRkbkwc94Zb3rivc0yMAwlm8KZNqh3/uGWHZEQo6H5ewv + 4g8U0zUnPjocUs6R5qgXo4+Jx2ldTYZ4V+D8BoEZvnTxh7VnJIi+FREPVaZwBn0uQ1Q+debM/qiX + 0P0K+lZY0eecd7kJfQAbdW8Q114NRfOmwgALf3fBw40+i2mXXx107HFDl/V5rIby/ZLhhiqNbI/H + FWI/nlNOjw/78bZhf2soKqNFRtdGeeOsEJ0zKlXcMbfqDd7bpkcheVyPzE5OXjqk4rdEsBW/xMXK + Mh2u0DWwdTtOdJLYJhdM/wDQxxpz4vei4J9YtdBeNnKqdi8N8Rr8J4r9Q8q8SV8WMz87QLNd8X/z + p17UHj8/SCELuopHUt+gfsoIM3qzQpPmloOK69sarybRSKeKBt6vv1PI723Komgs/+gfD+9uwT9G + 1ijZM0hwKSxbk21AtiG62QLl5ftVTY33PIG0Rm8WhpvQ7G+SWaI5f/7pv+z4rq8w5w3i3Kjtj/ve + OUGXL490dMiunTJp94RgV+1ZMD/vzIsDNG4gJjOPQp+5f4BsvTvM5zz3aWvng4zd7st81XLTMfXf + T0TWnzeVVXiZbLq1V+RotMDLbdqg6STJux9fYtYL3X32krdXcBpzzXz9qrUDrXkCbOe5+Df+YStJ + MqxRoM2ZTStEjfY7hJcCwu9J/vpjFK1t1Drbyy8vFiPNQ0dZuOhL5UMRIrSPJQ11uxumuSkJLbu4 + I6CZNzHfdZbm8FCPiQJb+Yvvx/RbcanWD3/4aOha35Zr/s1WZj3B9W1Kq2FKrvjHi6gQWy4fCcrO + MPtZ4soFbsel/+4A4o3C9OVIzEHsJwW+o/7ByjG2quWc31Fj1CuMikgvJqHcK+vZf7PNukYFLZBy + RspGSLFwOHUm38H5pCyPw4mFW/o2Z32MIJRjQvbwDc3uod4SNKKrTNFL/VY06LUnoDcNqXS9ZubE + 4qcB8/oh2GqmYkrMrlMuFk6pgPWVyRxqRXAX8Y42tvxtuRiVAzD3apFAhoXfFHUzATXOF+Id1juT + kXJjAxOjFwvyu1+MeY80kMjWppJuPlPmuXcNvhoKZj1QfzyoRvfVtsDru6Ejvqu5rJ7Er0jC0neL + UZIEjL4XO2FOKASp/Oh5AqeNEBCtNsFsr54nQu3omBHSlW1XgKFAsLvvqTAtsblcxcUJHR+Pms38 + sJiub6uENcIa0RdcnvvR/gMXLLp0fHZyW8eZeAKrXCQMO+0eTQWazhBG8opsF1FZDdf3DkD/bHd4 + 0U77aoivK2ulYjFiB9e02t/7g6OmHvAg+nXFmKmu4FCcB+bHnuAPsdlFSH1Gn9mvYC6d6av58UJM + PW1XjWsjisCxXg+m1/kLidfj6gHHOu/JthENc1nHHUbxs52IsfHOPuUqXoFVpyFerIIwZVjyFeV4 + 2N+Y0xS0mIbjx4O6v7yIczE3JlPgdUK6GBXM4dPOH+d+DN/p0TCyfrCq59L5vE6WcjnrQ+93e+uw + gqN8Q2xD19ycHj2P4JqPNsOEblO+rCsb/XiUdtDidiiTgweqAB0eNLIrJFs9nsBhe3HmRYb/4xtI + vu0FYiXXJafJdXiosta9qJhITzSIWYVhvdtJJN5UDHWpu05Avxx1pjVFUI03tj3BR3bWzD/XFeez + v/jxJkJURfPb4ZY8YTEdNuzHKwcq3ygyb+TItPF251MjnT/KzDfx0G/HYiTRBytdLh2Jqz+wz8hr + 2P3J48FjFfvsm4QAy+R6Y1723pr9Ekysju3pw1xFNKof/0HNxHbMcdUPGjvqCz/ewHBioIr5+XUH + s9+hpejbVZvE3kkRqdDM/KszuzwaVmpziYBtBiK1Y6PiBhwXXbA883P2Pn4Oir0wKFZ10/b7GE1Y + neT9i4X17VLIFQ0c6G5+goX9pi84icoG7dHpQdfH1C8m0zMekIqeyYJwyzlr+kfz25/Bk+bbiIue + 9AB73byYt6vNakzqRwlvJ1xhUd/45vg2ogDmPES8XV21XH0vzxDaHqc3ZYmLcQ07C/aMFCyc+T43 + jh+sGOtRY945Opn8QqkNfH3esCBwDXPmuRg8ox7pauYVHBn3p/ocFvm8X/RIeWMoJzTXC7N69WPO + /fkKf/KLuWN8jCXZho5sLUamq5KOddwOaNtGJsHmjqD+Y3xtQO8uZLtGkQum12iCviYOFub8NgVG + tlMkWSuZqegSn/T8YKFQtQJmvZ6iyc7u3f75GzyGUKHBuvESplI90847T+24/WwpFI+TP68vnA6n + kgYQ39LPHz36eJB26CobBTFUGxc9elMHSjtOiXWvhmqwJBPDPUwUrI5P2eRr2JWQ9cWO+fHd99kT + KfSXN4nH+srvXjfdUNjEKzzNevlagh+g7+N6poMsWf4w91eQcu4TM0cal377UcJt4+AzSz7V93Nc + TbDfCz7zJcMo5v1XT0V1nLNIh6qazuWiBBGLmJFVEBajk4EDc34kxIqFduYtAMvQ3jNtXi9Mgf70 + 8xvzeM8+JaYnKLzgQDCQY9v99jPKcSti+bJNqulNhQlm/SY+ojYfFeProeGmLWm7OK5Rr/TOA5r+ + 6OEhN81i3o/D6ELhRZL5/f14ujr5lUWF++2JxmtOZaSGR0zlLmjToUeTBXM/JES+XdCf77M/IfbM + i5nZawNaUZmwoF6L7VD2dwGC7/rKDPum8NF4W/jn18kmd/Z8kMyiROhAfBLO8zOtbu4DHQ6OhJdZ + X8y82RPAIXFN73GtFNPUx09Qit2Z2V3QFvP+3gQfrXv8eGPL1vEzAfuZnJnVfdx05nkJyKqxpbxG + 6+rnT6DGov9nv6P/JtdMKY/TntlzPxmy0rrC379TAf/5j7/++j+/Ewb153J9zQcD+uvY//O/jgr8 + 83Q5/VMU5X8y+c9JBNqdyuvf//r3IYS/v+2n/vb/t/88r+/u73/9Jf85bfB3/+lPr/92+R/zf/3n + P/4fAAAA//8DALL3VtrhIAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc664f8981121-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:24 GMT + Function-Execution-Id: + - pbmefoalhwp8 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '98' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 37ebabc27cb744eaba5b13fa828bb351 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 57643378a1a524682d1e62a66d1b55aa + status: + code: 200 + message: OK +- request: + body: '{"input": "Grocery list: - Pancake mix", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '104' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6WROyPLfl/fcr3npv7a9EpoT3jklkMkFwwK6uLkBEkEGGBMip89+79Dl1uvvG + C6Q0yd577bXWzn/866+//u7SKs+mv//56++6HKe//8f32SOZkr//+et//uuvv/766z9+n//fm3mT + 5o9H2Ra/139flu0jX/7+5y/uv5/835f++evvNJie2H+9X1ELP7cYftp8R2CtoXS1tuEbPsJmJtuC + pcMy2RMC16p4URNJTbXKouorcVm49JGezGp97bhQnvd8h63XACo2nZ03iL3bHm0ot3pr6FwI3MGr + TDa5PhvkpGxdsErmQu3nwkVkzzgL5h8iUpTDwmPl5uxDWgZvnM567S1hIobQVbwByX6L0wnQrATL + NPiE6A/IFj7QAyiPaUEdh69YmrmbETarVmCrmcNqMBYthMKljrC6/4ygp3WcyCdlINScaADG/Hm0 + YWnEBPvbC5dOhShzgIhHgVqjXDAaQ9mG5XnvEl4KCCDd6DXAeKka3p/61Vh1EjQKI9YHCcFON5ZV + CjZw9PIr9bWH6y1edMght7TrtJYoZAv2CxWGLUmxfzN4jxSiNEP1fG/RojlaxOQKyBABV0HgNVG2 + dJwUw7tmJETw9ADsjpSNiiP1FfZV/+FRTGseakNFsXsZrbQvfen6iyfa3kuz4j7ya4TXhyGS1bvd + h3mukwK+gkanPmy0Shj2yxXqURpQAwJUEffqiVC9vhlVi+Horc98G8Jm1xdkMxI9ndpq6GHd1AA9 + Fl1g9WHe9rCVgIoP7vnKJn9yNvBCA5U6ClC86eCuPrT4JKGefzBAv00CXVlKoiGmpbKxMpaJcJWs + hXw+WDNG9RGMsLiFE3WvRpWSqIoR0JaTSrbc22RcdAMc5NnDQJtda0RjclJ7cJPACaM2RB57XB8+ + +O230PIazOvECtAezDO+Sq0H5ja2EMSecKd+ugTG0oxxDF9HcieSDxmjj77IoZ20G1JfDltj3B36 + M4yYq5I3TA2D9cNmlmYYnLHRm7uIbiyDgFSXB2xJAWKfX7w3G4Kwt1d21WIuRgJsIiXYfC5xtR6C + LoHAaGokVRlldD/vCuDvpw6bk68AFjpZBxd6ULEtXNtqOeHTCupNeaP7Nth401bN32Di3Ypige8r + yscvFwbCNsGHA2rYdP6opWJseA4JwaHzyJX0UDab8UI1CXLVwCTPhOCaHcn2/JgGwpkl2a4naaLq + bfNig9/rV6Vz2wytT1tnAhRALG82I8JuOZOUgELIIXcurnQvR1PEUtuHgCjBgHFEo2h+9lUPcU41 + bD2EZVjBTifyd7/k7XrjsPRKGMNXnuzItlc+FcEbXYSJ7ZT4yEdvtnaceIaXBL6RoIRtxJyry4NP + m+3w42M0gFyGxQe5uC2wUU9iNCf62MOY6xOMLg412LH1OahodkIfW38PFu7wCiC63CcksMH3Zjso + S9DM7YiP+2dZraWWcNC5FRG9ebBgxLlrMfRQ/URc2pyqmXaxCt3CDLClpDtGpJfnCw8URajbil61 + BLsnkneksLAm1beB3xOfl/3MD2gmTEU65u0iw+YNTWpoaWIs/rogJag+GyKZCQaLmIclbMpVxMel + dpnQVZcZAt1dMJLMOR1Y35qQK5wNtTaXms3VwfRhe/ff1EqW1/Bbr1LfLhHZ6meSTlot9lBOqYnE + Dx2Hib8sBXQVZ8C+5ZkGVRwHwSrd9GTzrZf1bW2uEITCEXvuU6rWy1Lkyn0wLeplXczYdNbeUNAi + Advxua2mLuFlyD7aDu22sRnxv/rl86dL/cw+Rkt+vV3BF98ostnL61c+iWXpqs/U4+6lN8kNK0Hl + HHTySdQUsJhcXVBqUMYHwEfGUq5bHtjHsiROIg9sPkSdDvP4ZFJMFlZNyZbokKv9FUnPfQhY5KMY + xMifEO+zz9DWDzn4nQ9G9/PVm68DOyt1jwA94LkH7Dq8ExjuGw8tZoPSOUWeCxrqCUTQ8JN9Lo9r + CPvk9KKGcnhXcxrJMYzu+wjx7KEMU7x/mbB/yC+MScJX05TNOby4gU0RFJN0auK9C8vb6OKbOzC2 + mrzUQDtbXIrpUFU9aBoCtlxSYbMPKzb7s1rAjR2W1CacUS2lq/YKYNWHdNnwrua7d4rhK3jrOD83 + mceMsg5h53gdWu9OymhsBwT84uv4MALM4OdCKS6chN4TnQF7ZH4GHkSh+HBXHW9eOjOE1ThY2AgO + fsRkmsSwCa2M7qdGj9bL44F++UAmf75XBOz0EaTS9Ub30ixHSxh6hVzY+p7MP3x9acWoFFKs0MfH + sNj89lkOx9FeMZolJ1qf7aiDqc4O9DElBliNuuLhLY01akRHaLSc+ephw6GRtC+p96pBMQu46TYb + tAnW1RjDRDrDsydtkcJHJth5KedDbXO/YRtM7y++eomcXVNGzfr9AWtdzBzYuVCnltR67LsfHyYr + wtR4lUu0ttSxQCrIFTatW1nNkF7eoPONAJvax67WvR7b8NMY2p/+OpOymJXN9XDFxoO0EWs+8Qzx + GlmEWx8uWxI75BV5e7L/1Cszu3MJUaRI2FmWvfHWhwJCKdhCfPye5/IotTdwgHVD8LR5epQ8CwsG + HVnpPuUKg0YnpYf3zs/pNz4pO/mhC9/Px0rtI4NpX6dOA5U3ycmUdtowz9dNAb58DYnZYA7spd1X + cI74jMjBZkyX3QZmsE42EXY2u8lbyZ50kDi6RzYH78qWebBHKGn0TPrZi6rVcacYQnlYkDItBWPp + tdvA9rbO33owq5nTmAnWD+9g9YEKbyqY8YbHl3ck/XnlUyZ/KhfE46SQWGbnar6RyQLf+BH5cDsZ + Y/tQcjA0eY793tpHNM0CH2bu6hHxmD0jlt2TEShCY1FX2pjD/Du/fbw//vjcMGe17cJdDyxSkLAz + vvUcK7/+ur/sJG+UG+4Nr/4tQyAIXbY65saF/UN8kWJ9YGMCnzqE23TpsXt09Wj1JlWGhdWcqCmU + GpuaMU4gm2FIM+BO6bf/cJAQ1aD+O0+jeSehACjC26KOfIgMtkL1rXzO7RHrF/HN1tcOBtCebxj7 + RcSlVFH6Hv7y0Xa2a9S949MGltfw+odfLYW4csCBhYdPVUcidn5krowsb49/fHaUPrL141vkVJ2W + aJEbUMJixxQibsWhWpP9OYSCdR4ozjquWkHTjJBfNUzRrq1SZsFMBTfx+UBym9vRPKJPALNMTqk2 + Ndaws2w1A1fOV6jNZ7eBeO29B14oQ8I9jc3wxb8E5tvMpt9+m85C+uEgWxOLauHRSXfpvWhgKMYC + UjaflS1eCn2o6A1CDMPaWxh0RzG4Zy4+2vU6jGGyXKFWqjHeXw5bj2XRkMOPRms0iEff2MnxrYT6 + aZsRgRZ7YzUywYLGHHww5o4tW7wIZ7LT+RQ7wyZiQyd8dOjtDB8JHxF4Y36/yCCoDytZcvmcLnKO + VnC+BAG9SzPvEaTZGUybnBItPH7S6dj7OXi+M430u6Cvlj0vd9DybxPaRvE1YqHaiuACBvWHn8YS + C3sd3A5WTY95CYa5V08qwIzI1PDQYLBe1U14rg4mtbB0j9aoin15jseA3rex6q0InFzoXG4HYh3d + pmLsveUBU24n8lv/DOmjkfmjcf3x32hZ7hSBx0uI6Z7ni5S0icLJXuvHFEeaFFH/dWngJ/Lu1L0m + arT4bUhgluiMemWgM07C2zfEgc0TciAOmAKnL0BYvzDZtDvN4+asXuEDnSLE6iuIyMaIVKXamDK+ + fPXNdIC5DebLISCKuXQDbfA1BM1cj6Q8yP6w2AdIoJEGM3XMhLLFz2sI9tvghC3Ou7ERr00JWIo1 + NJvxlg21Q3XYLZpDPHxkw7rOlQ1APe5Qu28gGKdTqkKcTxrZlqY9sF1g23/0oD7LtbFekycB3/zA + qKfAGznozXAwzwj/fm8y6rcMd+Ik0+NYMNBB0b3+4Tv5t5+sl6XL/ujD4yjMoNNOTQ7Va8OwrgSR + tyhqeYZOhyjWdigZ5na853BbHA70uLf3g2C5ogWVE89jjROUod8qz82PD+PnvTSHdfRevXJ93S5k + 9dRsWI0hMpUvfiOQdSJbj2kbw8zcblG8dtOwCnHpw48aLWQ4oLKqf/wiT7IAn068H02g4nX45jsB + zXvrzmqsaSXYu+GdHufzgy1u8BjBV18j+V4EEX1NViZ+8YT++NOin5/2n/5/XHQBjC+RyXB4bnf0 + 2LZrNf/q8bjLP9g8O2+2VP4aw/fuaGDd+myH6R0HMhRMWcD262gPY4VnCIUuB6S39160Y1An0HfX + jCjzkAASPgoIbq3xwSrPjQZTOEWEoiMwJI1FbBC1sK/wdjBrfLoCI2WqzZdw1o8dAqSZ2aQVTgI1 + dxehzfAZPPq+3P/gNdWXU+mx8yC60ESHjBoY7j1eCFcIo8PwpF52SsGqCDCHH9E7ofdXT33x3wae + IHJEUps9mJwoQtBE+4w6NpLY0lHdBV98IoIHC/CnPuVCfyEGeCGl7C1w8KvvCbAGPPzqBZRi0hBm + FYvRc5LvwkEXE3wMY6Oa3SgLQEZn48un78P008cm93KQaHl2ursqtgr9UR4R/9WjAx9/XPjVk2Sp + Tqdoco4VBF5Vx3/0rdDLyQpSLRewGjsfYz6f+fPv/OhxNy9sksd+Bd5O89FsUsg+61ZFMNjbhHBa + OFRrLHgQxM/+hdUoaMEaYX8DS7xMFHPv9x/+Db3zdf7mQzis7FD4CmhlDZtLlYBlrfcEdq/5heRc + 56KpveAetkqp/hd/XVm5wgfZ0j96crUPrFPebYwpFqLb8PHXxYfXkNujSMlf1cJpsvrjY4gNFz39 + 8tNc9rrep3tneBlzigwbqqfXFqtR+2bsdBN7cMxPb6wmIgDL29x3MD80HfWI8WCTRLsQ1p1GqXnc + XqvlbR47eWN+SrSpDgePyTRMwCF68ohzy8+wZtk9gC/Kf6ihjwdjvRZoA7YB//z6H6QibzxYUDC9 + J+K+9TDOg7b++DJh+qU36Dq9Gzhp9kD1k9sDkt2jGWrUpV897g6L18e+DN6RRnboWBuk9JcrkJf8 + QrYkuQ5sXz9VkKw+xrq/NcAov45XWd9VBXm/7iVYdvxhlG91vcNGuX+nzD3mFpzOekTR6bI3RtQf + S7mw1T192BAPM15JCbjIKqlxr9SUN+qBBx/1tOBmt28BEfEug+t7ueAnBp/o6w8UsB1NH6MEWd5q + do8GmBp5EOlbD7V9jQlkQHoQ6dnVgJDT0Yb7/bEmu+41pMvolUSZhOZGStPSAdd9Ugh/5y1se8Xr + vCvSAWCvD1ZfumvM8UAb8PNDVMH7/M7jDOZoyKjVHnD1h48vXgmxW95P6TpPUgKcZgVY2y3Hge0H + K4D0sT3gL56BeWX9DFLpfMNOqPVgsE3FgnkqmlgrSZ6y8AxcWBoJwT/+P0eh2cCfvuPc0qmIWZIz + /PIBbOB7aLC+wcWvv6LdqQ+95cA3IpyWPcVqfT8Yu8BgIQzO6RUf7rfGaJbnJYY4POs0SMQUrLQO + YumX71cl3YHKZEAFEphVfICgj1ZyX2TlV2+HB6mMubp0/p/8/vlts9iqV6U/oj0SmvbtLT/++e0n + SM7rQyoIl6qDbmqkf/wzJrh7F6qnaoudKzUBlwVQBl//lGyF6FaxFdpvYPRVTLVLf42+eC8Cy5Uk + 6t1vL7C0l0MHrQd7Ec45ZQN9aadVMUXXoToBD9aaz3aG5E5aJOqqlq5h6OZwCD3993vp+DgKMSCG + cqNqPZve9OVXsrIwGe1UPHn0BcpMlgIFYlQdWm9VT+MZlHW5+eG/t/78o2bXFQR8/QDSyxH36980 + eOmuR59T6IO272LsXHZnMMsNbGDbPX0ii9OtWhI74aD8sEW0c2zk9dk9WuEylztsRq1aCRXudegn + homx0HPDjDX3j97CnvIpvOWr1+Vw//bozy9l2JBs6YphhrVNT6puIEIGdu5GJ7tcnr3lJusFHHQ5 + QQU0+3QqXbuHVmltsE0e1tDlby6Bz8CtKbYGLwWTd+agGJwz6mx91/v5XSAUE4HIUnuoGC3vPPDq + +U0PBIsGsaXnG3Qna0+d/BaDmd6hDrVRqbAzOsCjWuKHkHmbO3a2sWqsB1eyf34CdtuDF816vRDp + 50+CfrXAclVUFbI7O5KddFeiOboBXhLt+5ZsZo+mrA6jWd7tAcLGl++td/u+yqOXXWm2HZd0Di+u + BUC536H3yh3YoiaJDar7kmMDPOWIjfZgwuvzaOJv/I1dGBoFzJuDSFWTZmB+RKQHpyWkeP+eXum8 + 5wEB7wK0CJw/BzZDo5PBcFF78icfxMs4gtB0bwRGePRIql9XKJP3iNFgid4qmPkGtgLlqDUTF7AL + eYnwpy85aFoGm6f5KudXIaCHu/oxyFpiV/ZCEWIM6QCIogwEvkXOwG4VadF8E+48PFFOpo5jO4xX + C/WqEEf1qK60szfuuxuBsp9n9MsP2XLXqwYI4FyRtgxaY/niJ/DJuaAoqStvNWHBQbpUPtZNqwSL + n08QvPygxtF7u4n62q8bqI5XA/vudfBm5zUHMDp8nvj8XT8JVG6Eq8md8Ombf6v+hA20WLmiNHrP + 1WJKsw0+kXPHmua8fvGa4bu8pdRRmxqsUVJlSh/vJuyjyTb4Kxf6AMFmQTwN+Yp+CBf+9oOP7YYO + u8ut1aFkODZi3/V95yehUjSvC9bpbgL9Bi3FT0+gBel6JETWzYUfQ1yo1mZxOu3MYf3jv1rs8ajm + Gk8+n8yaQd1d4A6zhIU3SAWxok6iAkZSPV+B/exWejzl0bDuiclBdHtLVDs+abRykm//9Ct6I8ka + 2F7qA1AMjYNe3YsOc3Kye7hqxxNRnGgcfvULpzo/IDGzl2EyEiuG+3m0qNX5Dfio516G2+OGx6q8 + jYyl2uTXn3+KeMYlA4uSMoFnISkwnvWCzXcBWTAbHQNJBwFWf/Q/ZqOMck8K2GeV4g28Wxai5sod + wBdfVFBtLJnuU6sxxl69qzDFUY8t87QfhNGuLOXnT6mC53jL9vzhwdpsXnh/pR9vvSNNVeRVdGio + tIE3pvdPD1s4d9RcHz1j6H04Q69FMdnJvZtycGfy8P18rmiToMajV+5u/+GbqAGLwerY0KG7ooIi + +rgYbIPEDLD++cFq1+ce0+tyVW6SdCLC1/9bhFegK9bzeMGeEhoeK150A831opA5LhqP3zhuAD3Z + UtF63pwBrWNPl3NHz6gvt0nEODeWIVetG3r8zv9YN7olvO9O8m9eMTDsFDFASfai/s24eivTRAiF + ux9hvdNMg8DxAcGXn+IDUVaDRGcOSV9/96c/U+amsgnffC9Q9dns2AplaQNTfOqxMaOqWn7+rHTL + 3+Tr/7Lddz4oAXVU6NHWt8OsqFUMe9IohCMfFfDfeZP0ka8Puj+Md8Dm2mtgbZsDNfkt+q/+MtoN + QcstLKJ1e+5WeD4NAdbZR2Ar0+YNnDhCqV9rJKLowzewHS0fH7eVDtZd4PjyT0+okwa8gfXUkqKF + +PgSatRb2mro4P3ThxR79zoao9B8w5ihhqxDHgDhUnkJPAfHjLqjOlarLd0a0FAJYwtLUjphzSkk + z+jP2NMLe1jGPcsg3JIa63ZnMf6OHB1GhKtwZDmcwTJ3Q+SHeFYprsW1oqX43vz8HWwWzxDwXnvq + oZiL7be/cqyT0qsJ5U8lYj1POvDT24Dju+brt63Dn37nmyeObEWgMXY4yA0Aur1Q8xNHoD+2Rxle + NkVHXZvV6XSHXABvrfb5zrMe4CPHtwJWRXDAl8MogaXy5QR8+ye1heth+PqPBFK/igj39V8XtCs3 + P//tt//o8/MXB3VChEaUpYQ/ZDms3ILHf/hHglwLfv0ganz12pJImxV85ynU83OVLZVITSC+VBFH + 33kjqcLurSz+ZiZjKGJvTW2kyt/6+ePXDQYvFpCtsUW1Ez+mrHLkGX79CzJEYBq+fiiEq4ZPVD+9 + DmA54fsKFbQ9Iv4yugPhL2IO8bT9oOr2vhvM2tsctPBmwkh8PaLaqEf5z3zUi95BNcdbmYd9sbo/ + f3jgR+/TwW9/RuKeG9L1O2+GQtIdMMZHHC13Lz7D68ocBJF7MeY2Rj4YE7L56RFGsSG5MF7mlR4O + yAILucsbWJ4PLlolZnms2DGk/P27FfCf//rrr//1u2HQdI+8/l4MmPJl+vd/XxX4d/JI/s1x/L8p + /+cmAhmTIv/7n/+6hPD3Z+iaz/S/p+6dt+Pf//wF/9w2+HvqpqT+fx7/6/tf//mv/wMAAP//AwCZ + Ns2n4SAAAA== + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc668afd1113d-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:24 GMT + Function-Execution-Id: + - pbme5l3ic5k6 + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '224' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 874088999973c1eb2bab5aadc2149d90 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 0804d410605ce2d1b7617943c8185427 + status: + code: 200 + message: OK +- request: + body: '{"input": "What is your favorite color?", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '105' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R62w6yyrbm/XqKmXlLr4iI1GDeIaCiQBUConY6HVFUTnKsAmpnv3sH/53d3Tcm + HBJD1RjfadR//Ouvv/6u4ix59H//89ffRdr1f/+P+d7z3t///uev//mvv/7666//+P3+f28mZZw8 + n+n3/Xv99zD9PpPx73/+Ev/7zv996Z+//v5o4ok4L3fRNo/PwQG7nZbMsUozXi7lOoRyk2jsqJ7N + dtCGaYAtWBeGzfUrHhdx6EHk9Du87KUtGg1PLsGsgTFr/zoYouk4GtrmEceQL1aIpjeyQ3BOjwTL + zbcdmHqP4LNqcmbpZW/QJPEAErA50y+9mU3VYqWD6gVbYqRbK+bmt0kB8PbBjvUoxmwbZT48vqFO + l5Vao26lGxKq1qsPcxVLDfoKrAq4X1yIFrYPVG20wodjcbnhocYRYnrjD+iM95hK7P7O+NITBujC + BmPrqRyMdPvxUzUecEqHPXztCZ+dDn1fU0MOxq5BQ3D2PER0WhCSLgNjKoOyhBqiiDi38w1V2ilP + wUCbBku39SoYs9SX4TwAIkde3+0x3yxEdHOyM15K7MP52o48KA9NzNyE8nY4+0KDAvdEmVk/zrzW + 8spcX7e9jtGrMOIlR6ccRlgJuOPDOhvurSaosBHuuBWUNRqabXtE6iN6UmVDUz6NaRzCu1hyyr2b + YA/F46ggqhoMVzi68nm9Nfh4mcm2lVrzZnuqTFCQdGTkqvZBLXRxinYX50WVbU3aKiNaB9dzZJM9 + RzIa0POpg0DfWxI3URGM7y+/q2dVD2hVtbY97ZPGUybtxoj2inO7r49lBGifR0Q3jk02Ld2XBrlz + bbGcyZCNmV890LSyrmz3bVk82ZWIIZNFRNf2YsdXtzWSobuWSzpuS8KHRXTbgVJ5d4K9VEfL6wRX + qCK8Z06Cz3yq6cdCU8sNYrgpDabPPVDQfv0cyUHfb4zlfXAs8ELZZXbyDQ0mg1xC5/ETcYInR/zi + aJrK+HQjehV17fTqhBwWlcqZ+/1sOOuoIcE99ShWi7xC3JA/E4hunRDLwwniJxNACRuxJSfaCwFf + +J8Q4rN1Z7puvzm16IPCWFy+RA/HDRK1U/4G8bxz6HoFx2y5Mbca7IvPkemWUSJ+RZcQimhizHwx + DzXO1xvWijYZeFJlL5i0OvPQZql0ZPPSt4h3quRB+cQ2w7hdxbR+fmTYNQPByHTCub/SdLG0lRcz + elYGo3ioGmhe+Zo4m6UeSL1V5ABFIRI7QEU8aKcuRbty7ZND8haziZ1vR3j6TxHLHhY4a069BLp7 + M5hpeqExLE3YwUXSCDGc5BSPi5sswqWpFIYvyTbL/evLAqQ8dOJxDXMu6t8JxEOkMc04XDmP3CyB + zXoVzPuH4+/6ruxASjVGvCI42txt5BR2JfKJxhfXdhB3mqx6B2tD+8BcZv3zvnbg9304Jd921P1Q + R7R+Lqi0Pet8Gv23rJ5P1YLZ4uFqU/3ywkrpqmu6LqKaj0/7eYV5/7FMM48vr/6xg2jFMXOUkqKu + P20UoPX9TGb8akdqpHeQCjXC6+QdZlPXdDvY2csjO4S9bvNx10ngurWH15c655RkMUVz/VFYpyNn + UTdSWKsnwIryYgFj9zACVKrAXD3u+feI/Te6GMeM/eqF7bP+AZZFDbpKg30snW12RDZ6VeSHr2yu + P/jhfaiYhj1t9vkEkno32KE+RdlUGGAhr/p8GRaHZTzWa+8KXqiumENXajsMdn0Hd0hVcvTCjI/f + h3JFp+DLKLzcRTYsviWA/ZXw3D+iMY1pEMEqVGJmM/KJO9STB+hPzWF7SfoEkxSXGlpKwpcQBafx + 5O7UDtZ6puOlUMTx8DZqUIJra5BjsrFa/sEHDJGZtnQUTrRt3y8rQaniGvi9lnJjXC1HE/ZqRNn+ + khbxNA1NBHP14+Xr9IrHTRZ4aCXiCzPWxYtXWYIsVFdDSfQsS2x2aXMFnNTx2Tn48D/1Ae26HZhO + sR+wskwt6JWnx5xWeRvsWzzDP/irTn6GRjYmPhTJ4khL9qZxt11/PFTLZkrMJn5l03a6TehF+owd + 92XV8shtEzB922ZbU3plw2t5V8DbBibbF+QYdOQ+THDXhYkKOrLbzvZ1X91W+Zdt190iHo9SQFUd + QovKibCzx8PV9yB3eEq0GkuoUw/FGz6yEZOd4jyNHp86+PO98YDteHJXNkYZPjREX5r7bNw3ICBL + k19MV2UvZqfwewfL+/p4+HqZ3YXmTYM4X7mEBPbSmMzATpGmJZ8Z3wTeRZtqACdKdsxMi53Br80h + QUvtGJIdOjrB8qHiUFHNdM12S3/XjhvT1eGsXwxi6v474I6d+mAeK0420oNkbPMwBijl9khI//4G + /LTUH3BRLj3bHD7QfmRTs9BqASnRMJf46B8/OqxgWzBz57q2tLloJTqU/Ye4Z6VBXe4iBa5bppMt + ri7ZkOx8DFex2hMv6CZEz/bXQvUWS2RHH2PAEj9UwAofhMSi0cSDeujfyjeLYoLDJ2n5UXhr6kdD + iDmbZRpPoYMEkC8PhW20784Yjxc3gW6ljMSp1o3dCd9rhE7M86iKtzaXZv5R5v2nzLzzeLqd0wQo + vq3ItpcKNPffHXp7eWXm4TDYA2llHWb+YluxX2Y8+QwUhibvqJr1asDalygpvk++lA9tHfThVdYg + yt2EHDNh04oU3ypAaZMQs48sg5EqUWDJdY2qM3+NdMp26HtZ7Ihm6mdjXB5W3g/PcLbtSdzk21eJ + yBFpjKyuvTHg56oBFMk+uTzvdjy8g8ddiqzpRSesSPE4PemEZv4iuou6bCSsvKL3SCwqXfR9y0dp + itQwrTyG3a5vK6Nbdsgcn/sZLzZx337NEOyviJnRrEd7EL5eqD7TnUo0C432gLGLQa+mK2WHgP36 + PVR3pNuzmY9aVqzqK5BjeiAb4QJBUy2qOwSPVKMoK59oGG/DHdTVvSCH9dpAQ/qOSvA/0oC/pN/F + 07WsO5SHjke2utwirt8lAVr9UdJ30Pmoe6eDA+cNOHR6FseMWxsvVOinHMn2dXoF3L2tfTTraYyu + jMazXijRzfmcyca5jLzLaFFCIrsOVUO0McaRXCbo3tc72QXWOZj8xbpD5SlriH3mbTBVxFfgMF0N + dl/HfjAAihIYc2Fg25dn8kG4vQC5hV3R5Xeb8cmx9BQtL1XL9m/v3XK5XYdodFeE7NdcQFwIzQk6 + l7ypGIu53a10W5SHfXSgU2e3bbvnBx91lqLTFdMBjfhjTcjIsoCRs4Hs3qSKhpIQaubm5a3lH6GP + YKcs11gyklXAp4LvILAE74/e5YfhpAHXlZw4y29hDHri7aBvpueMVxEf5XwtoYNgYfrmGuVcb+4T + PNXHiUWzfp771VFnPiRaETTGbz3huS5CZhfPQ9CbJJvA+F494ixeRyQW6HT81Qcx1zuOBsnwGngp + 3YY99bNmj8fy46nZubwS97a8ZNNDK4/wUsaWmVvy5ONO3eiqW2sFzaunY7eG9fDQUlljsmk6A41p + YVjAG91kx1PgtlImrWUIlU/CfPMgZlOnRG+4JAplZih/4qoAKBEKNuc//D8+nNSBR7AEst2KlI9+ + LChgVdua4a9ltCtF0SJkFh3CUlFV2VDvdyW8P+kZh0drjabYnxy4N6ZPJTFcxdy9jb66P5o2e9xI + Z0w3M3Mgfssl82RZ5MPPHzWZ1RBCX6M9yKPzRkX6RsSwMrOdMmlUoIT3ngrhk2RDN6IcPPf1mvVM + 3lL5YIegIPHINEn52OPnzCJFhDJj+HrZoPq3HgfbT4lpXC588PcbD3LvElD+1j/ZtISDCYUvWuSy + F852FZT0CE81Q+zYLMd4LLydCE3c+GT35Id2Ehjy0ezvyF79ZkG/R+CgWe8x19O3Nldu/+Xnfs/j + yo9QB8cTrxlZe9wY7+9bt/6t94Ua3O6dbNSQUMYhlVNeGINwuwA8cebQqSdWy+pJU+ChLB5Y0l9u + y+sNvyL5VZ+J+5q8lhtyPaHZr9KxpmI7He8Fhq92SGnFPm+7/agbRZUviUJcyfWyIQztBN5Lc8t2 + zSfPOn5tc5BqKaCF0tCMc0PMYSzOX2audwHnQrbCoIVbxPTdrs/o5tpp8IyikTiXS2kP0eY9AVkj + RgzhSg3qL9b0T31Z8vlg12xMPDTr1VmPh+2EuByhIyYyRYftEExx2jWIebie9c+CdxTfGrirjU7R + ytSCKjh7PmDNHYiji47Bn1looYu/iphDJcPuuhGV6LqZYjwW/Mv5OWk6eAjSjcJAa2PAeOtAu/bW + +KN9S3t4FSsTfbQ1ImawWfI/+KB969nfrXR7BftjjvbHnU0M8voG3ebFUxRpLcUoXILRtVy7ooel + 7chjoLU97bRKAid67Misv/74cRAMa2R+muzaub8rlDwGlz3W6YimXkY75VjjiOiL5SEYxjgQQYq8 + jNb1SWq7e1wc0cwnzF0srIwvx5OoqF/+IFZT5fYkvC+PH1/ilLkPexJ7xYTHC4VET3IxoEv3ooOq + tUC/BwnZTD/UJlLb5sYM+V3FXSNm4h/9fJj9GzWNL0XeaeMx+1k1MddATZCvYpO4Wf+Mp9O7faBz + /cjIfu6PbroTDe3P4oXK6XpCvPlsGrV7SPVPn8Tsgy8SHAJzz/BhfPNugG0K2amPqXgfvnZvi4Ov + noui/OnHTMJns4Nk0EZipWsf8f5pliDVa5UdrunHHuv78Qi3Nrkz+1VkcddsW+vnz+n4Vmy09FT1 + Dg++w1Sb85DO/ohU3ZSnbNZvWjzJ6+8DFi5q6aNVNJvXkyUr8en0pFy95THlRK7QG19i/LLCIiua + qxqBHfoJnvVKzIPpjpHrth4N8OdqTE07yICdwCIk7292fywXCnp9CSKzv7DH28Z4QI7iO7ESoTSG + n35ARpiyk5n6aFgTrKNU2GlUaI0hphYNKfITb4Ez7yYYzFZjDOunErFDt28Ra9m1QTtC9+TwSgxe + v/ebDnijmUybNluDVoNZotl/0Y6kX3ukQSjBWT8bZPbfnJMqkZGpP67MpOeR19fsIPz0EVUl12uH + jGgUopwkVPZcM16adNLVjznJGK3Md8ylRSUifKmexJxIbo/P+xqDpFOOVzL9xmOZnEXYeqPBLkL7 + Dso3cnOQhfJO5fPuHY9Vl4tojU8ucbSxCEZL+V5hXYwF6b+fD+dQeiL4vvslidv12Yd9WhFShRjk + kN28dpo2dQXRopwInmQWdKvpFoHgr3Lm7sMD56pkeNC973eG7/eqnX71PyTSm9bmNkQj06YjBKJ+ + xbJ1LeIZD7BSHx4N0a8dzWY9OKDS/ep0FC6PYJrztV9ewHbefhH/9AlcDCujt9lv96p6n379gCUw + qqwNTtUbcq15E+dhE3uS1+yB1p9kz3anLc3mekiQ5uCO2PduH48raU9/fp04bkGN4aa2laI83pht + yHXPxfeUVmpD1AELhykOKCvsHIREBgqF+rWn7JvslCI9msRS/NTgch9Oyuz/iG9414CbqwfAfmkF + 7CG1qc3eLy0B/XRuqVBrddbF9wNdo7RKyLY2LtlgPG0P7RNtItuPdeScHmsZVu6zJ4b70LIxn7YR + PFNTZRte3mMeejFdz/zJdAdS9FtP+DzKB3HCx5MP/Ybu0Kyv6Hg+asbwOQ0C2uDRxiqL3uhPvlPL + zxuxPDcPJiXavkFYL0yyvd1u7XTPxgQsPtlUnIhpjGtuSRBmmz05Nsxox6TWMNz9uiDaO3zHw1cx + I/TxPibbuOePMdm3zQTqd3wwV9BZOwyPd4WCjdWxvQlmy9EXPETr65k98bZF09w/0IW9jJWWvzPq + fWQf2mO7YdtLvOVjJ0kT8gt+YfvV0ranxD114ObTSDbXnWGLUeonUCXXlPiv1Gj7fFNjIA0GjNZ6 + aEwmXzpoUckHdipXOWKZcmpA8m8lcV7O1pY2K8WHd5EAHfeZhXhhLSJo2vMWrxXZbYcfHwxls8XT + ZOXZSI3mDjxp2MzHbjsWRHZ+fEfsvXsMhqUpmqooXi3yFHSSNedYF8Ad3iq9NWSL0HDJTfXU6g/i + pJZlT591evzphd9+cu4bt1TJw5PCdm/WZVO+7E1ol5HP9Nk/cVndY5jQ3cGydGW8vR6RAzM/Ycg1 + agzpO8l/+E12sz6u9/HxjWY9gVVf2CMuTktPWWyG+qdPs9UzqClStRrYNvGX7dBreoNOBELmKO+P + MVnC3kLl6dPQIYs8RA9OhJGNnhXDreEF0yAKGmjhHuHFycJBf75kDpw0Y8EsLdvFPU2HCp769Uhu + hnPN6OfwaNC5+JbEPW0oZ6eQXdEjWAEd7qlljK86ESE+H+9kn5+QwfOjY6EhvZ/oQk/deLjH/RFm + fYCnLBOMnnibFC6Nb+DVUWyCDtpOU+ZrZq3DiY/4c7nDSekJ2wvdnbMx0hrwnmZFdjR9GVPTh9Gf + fOHHr9w7ixiSg/NkZP4eMdXWHbqTrTj7wQxNdnOpoFovP8wp1L39y0vgRISQ6cX9kE04f6cqloQb + Xuhp/8ObDq6f3YXCy9ka/e7RAxphKVDQxiLmspPtlJ6MC3ZwZMOY3nHVoTmPJ4/LpTTGZys/4Om/ + RLzW9x+D5/X9CnmIPWb4cRNMy8ckwoxXBPvFIasf6i5Evzx0e+wbNG6xFcI27Bumi9oxE4UKTSiW + 7yozgntoDMH56oG8H/aUz/pEtMevheb9JPt5Petf3leoMiEPq8yDP/h0ElSDGGIZGcuTy2Rlk9xD + Zm7CkzHw1SiChtyYOO8dQt0xO7xRjm53ZrdnYq8++CKCfXW35MCsDeKy0+7Qt31Ls58/2X/6q1Jp + wpxDswm6sDhSJVUKhThWmcftUXjr6uzn2I6mC3tQb5tInfmLHWQktlzuHwOatGiLa3qc2smuYM5r + C31enzoboyi5gxlpFq6eSm1MSNwJQIvsSlz2oNmojKBD/9JPTK/PUcCf5lYBv2YC7RebdTBchjqB + 8cRXs77Y/epVgu6aL8kG3+V23D0KAG3liczB+Yr/ydu/We/TaWslMdee11LZqyElu22kxqP6+OxU + NXS72U8M7ainuwf09urKDrfvtaUHaCkY35eCh+QZ8jF+mQrcAjCYcfMVu18oaQonZ39hh5A+shZd + NyIk7sFk8/zJ5k/TVX56hqqid2l59HzKwFD7xSh7D/YgllMJft2EuBe9S9ad+akDqRYDkixp3v7x + x6uFkNKr4GK0EvWbBaLcl3QVflWb4/teBiFRgK6v6ccYKFF3v7yPZpnp21wInQFxVWiJYdZ+MJ4v + LYZUeKzYJoNHMN3MFq97O/mQ4/WQ8nn/r8qkhVt2yuARD9X3U0H2CXOm8z2NJ+FtiZDSwWSX64cE + A+uFFByyuWJh1ruTTzoMlrnckV8/Sv5L08FavCOWUOFp067WKvXVmjJFzkJvxd/8j+tyzvztPuPd + SZ4wzP6VikfrhrrNC6UwZWWFka9KBj+ZIqClMNnEOFRgjO3XCdF1M8Rs+yAUdd+b36inVnuwn1/I + BUs3AUnFljn73jKWo3CQAKPTiuDkvAyaMjteYdFJA12kbPuHP5CZOBk5yMsSDc/LKfnNm2g453PL + tmID+n5LMs+fAtSJUq+B1Qol2RnJJR43wVtUxRMhFGb8SOb5KjiRqOJp9icjO62v0BuNiuU5cGRp + d2xAl182+eWnA68STfGX9zdzPWORdQQ1yU+/UWmxXdt9clgLaDw34jxvDYOV9rzmKEDrkrnGfdVW + vIp0uK/5lv30zGifG3213eorrFivHHWv5V2GGQ+IrSx6Y7CWOQZRvFvEoVJmU7sSHRTf9htmGYWE + +JxfQj/lOvGMg8y7NstzYIs0p2+699HkRqcU3us4Ixsz9fngCncKSyeIiOYss2D6ftT8Ny9jm3x5 + bQcpMHbwy+9m/xf/ycfg2RXkVX3bgFmj+FBD+83I7hg67XRWTo6qn3GFkXb6tl3Kpqu6DRsNy4kW + oSnfWoK8KAyHjqzts8Jv/Q6wFX7YcUN1JIpSof/mqcwku9qYLFVOYZ5/MiOHqzG6xlkAAxkNOdy+ + ctbbRZj8+p+OzTRm449PB+X0oh+jltqhWj3MXz6E5/lfu/rNP7znriKHWW/zqBu7n99i+738Ddpd + gLT/4sfb+2ZM3mfwQXdjAy/oazT4y1s/0Jwvs1+9NZ97rKC/f6cC/vNff/31v34nDMrqmRTzwYA+ + Gft///dRgX/fn/d/i6L0byb9OYlAu/s7+fuf/zqE8HfdVmXd/+++ypNv9/c/fyl/Thv83Vf9vfh/ + bv9r/q///Nf/AQAA//8DAN9muKLhIAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc66ebe45e153-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:25 GMT + Function-Execution-Id: + - pbmed6937r9a + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '20' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - ba5b2a8ed740e0e13bfdf1d482561f84 + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - d1e10b6e48d2dcb7ed0782d5f86d3b37 + status: + code: 200 + message: OK +- request: + body: '{"input": "Lorem ipsum dolor sit amet", "model": "text-embedding-ada-002", + "encoding_format": "base64"}' + headers: + AGENT-MODE: + - AAAAAAAAAAAAAAAAAAAAAMLheAAaAAAA0%2BuSeid%2BULvsea4JtiGRiSDSJSI%3DEUifiRBkKG5E2XzMDjRfl76ZC9Ub0wnz4XsNiRVBChTYbJcE3F + AGENT-TYPE: + - Auto-GPT-2023-X-TYPE + Accept: + - '*/*' + Accept-Encoding: + - gzip, deflate + Connection: + - keep-alive + Content-Length: + - '103' + Content-Type: + - application/json + method: POST + uri: https://api.openai.com/v1/embeddings + response: + body: + string: !!binary | + H4sIAAAAAAAAA1R6WQ+zurLl+/kVW/uVPgqEwWa/hTGEwSaQsdVqAUkIEMJoA766/71Fvqvb3S+R + IBZTVa1aa5X/419//fV3k5bPbPz7n7/+/hTD+Pf/WM89kjH5+5+//ue//vrrr7/+4/f7/6181unz + 8Si++W/578/i+3jOf//zF//fZ/7von/++pv3hyPVsvfRm9C34AGn6CZFtyvz5tgqTPUyKDuK08vX + o3MRdEqy7UK6705xzN/yz1Z5VGBHJHWrlJ+y+xIAPLCQkns6MX98vrfwEn9G7CfsDqYkDxXFuXsR + PmjjvVy6cXIUqEkq1TFLwEBP1AXGXJk0mfY30OEH6eDRBD6SLoegn2qmEgisxaV2Ye296bRECnTu + 4wWJwXLyFh9pDrSyXUedHXgYi2W9T/CUSh7Watfsxdt2SlThBS/UTvLOm9fnhTMgGdVuYBczLBxO + cPy+Z8QHc5ku97KNYEaAQKboio3pcNw+YRd5FO9Bb7JllnIEldFQiOonDpiw7hNwcoUI24acp2Nd + bjmYZ0+D6tf3DTDwrjLQYq5AfRRv4pkl2QI4XVmoXvMMzH4eOmryKlTsF+3HWxpi2fLZ+eiotsov + 6Ny5h9AoHIcmNY1T8pi4HFaXuMA746zHc23CBhZKwGF92RPAfKDY8E2DGO8aTmKLfxBqGD/aGpve + duxZL8U+PDz3JZFj0zO2YO59cG0ySq/HeZcuT1KHsFYBTy03XfrRz0NXbbzdEbvkNMVtRVgEJUYz + bPUoN7rvdD4pa/5gT3u6Ma3rJVEz93kn3Ozx8bydniYEIHyh4/MkxwOFu1qtw05BQ0ZoSc8b+QYX + SXFIcb1dGdO4PgdXUemphaJjv2jucwL5kj+wX+MzW6Q7qeD1HSK0Rd0TjMJCLvD2uO/w/ureUwY+ + 0071nCeg/gUqoCvMZAD+cn3ivXkM2LQxTwjWNJ+xP/czm275yMv+yejI6B+UcvKCBwfZftlhQ7mk + HpVrHypp5nyoM2pWz/LMPUF2rjbYywItFu/TqYZCXfEEyiEB42SXAxwq9MD2pxcBqc8sV3/Pn1y3 + 35I9jWmSt34b0H394FNau7uLOgR7FxuzbXhC80A+XKSTSW+nixUL6b42lffBVbDHf1m61McvB8s3 + b9Pn0ajiqdjYEJrabofvweHcTw3LJ7hH7hfxwBH70TXYDsKD9aT+vt2wGqLHCXJd7SDhrcN0st5x + tDGS50wPeUzLWcvGCdA3OGAUtmdjmc/JBUqWOuDAPyQl2VadBKwkHYnw8B7xoo7uAHC6ayl+mR+D + wChXYNdnOhqeb5E1737HqbSAOr4ewNlYrnvT+eUfUq8bq5zmEDU//ECcUsolVXZkC57u/UzRejxf + ldsCu2xnY003nHTq6C4EOlJ0HMmCz+a13kAnixY+HNJrOW+P6QTHQ6AiroQULFnSRGCDtQr7xHp7 + o7YBHXicXyYODN2IG+5DJjBu1ZGE2rFn5NUFC2hfyRPjSduXLDKJBLB0rDCuPl45WQ9MFO4YC0ji + qVFuSebZUN2fDOyUy9ubDdlVoF7KJcrfdwC+wmlwYRS+AOGU8l7OL33qYMadZxygbx636Z7Y8G5w + GPFHxIymVu45FL6uRNpDdOnZdy/ZAJjjEW3b4gLYcN01cMVTGkjY8Eae5yoYD+UTKd+d1vP09HX/ + fK/9tWrKaWtPgypZaYNkRbl783C7LVDArzeJ3u5QLpnc1XC20R7r5w8tf98Ljt9yRu8AbY05ct0a + /uKHyXVniG1+aBTedwPC9wIsF3CSHWjJ8YfIh/TaNw5oXOjGeUdUf3fvyaa+wx+eUnQZvX6yX54O + nOaLUBeAxVs8mg7QD1KfgL1zLFl/v0mA73WLzLrRxGPaAU7JDtKZolb89LNWHmrI66JC+Gr/ZOSC + J1/d7Own1YrMLgerLHOIxkjGOH8808F6pyGcgXtD7M0ab7GhihRPOCwIFu3HYBu5NYGbUI8iLpH6 + 6fqxL6ARqYPysLLZZJktggMa9vSQLK23JPImh1pNRbJ/HT7lCL6OCwhMGN17G69nkaNkiuzdFnIX + 3juDvpK9DqSTWCHR9Y2YqdyhBpud+cT7mhTlhwSnp2Ic+5g6t8BMZ//On+AuuBwQ4O5fVvHB+wmj + 5nDECG3Gfha2sgLz+VWRpYNvb1qC7Q2u+IWA0rdgVNrwpta0mLHhiHL/jqvqpkw7puH9gFtvkaWY + g0qtRHg/y2E6RVuQQAnmCkYnpYzZbSsloNNHRk3VJ/GaDyHkj+OCLTeNShoO5xCEXEQwMtQcDOnT + aQC7eAZ1tke17Jol7NQi2xgIqvuAkena1XJXooYwKZkBuX3mHNzsqcTa2g9++AODezYhvvbO6Z/7 + zencY2Nd39DU5YBfPmpqhKMJ5tjqbKV41jscxOItHq7tXZJfV12lAf+2vEVMOR6a1+5BRnd6x9Ms + NiZY+ythyiU15nCeOEgVp8TxmzlGH+/sG7Ri7OP9k17iGVO1g7k5jWiz1v/Sm3YGE0fJseOOc0mq + cmfCtb/RvchbbFEilQfjxFvUFI+3tX7ySC0Tl2K3uStsuHwvFYzVXYzdQjrFkzv129/9EXtanUHw + o177N+bIrz7Zp08UqOlRStFJMdKF9WkH9YrLyJ2bJWNoRx/KbNze0bK7vjx60jUCwm93pBbpMViE + 4lsDWnA63e8SBETQOCGMPxcVLe4h7ju6HRRwU3pA1++fkiqrIqh8nxeyXJev0WvKC4JL/B0RvIlh + z973xYRcfhjxygeNpbOfBBABRX/4EevPwQm2+4NJHb/5pjNTu045oP675rdeLvNiJtDZBD21YUnZ + 2J8sH8qxecDOJJllW+GJUxr5YlG8O6N4JMdGV+7ysyLAOEY9je3CV4enY9BgxZM+c9+Fqj64nB7E + UxPT9f1U0OEa6yUqjWXYfCSg3HYJ3rnt0etEI7yoKdAfFNc3Bobb99BBQQ2OhOc2l35+VIYPj8HQ + IcHYG0yEeufCyFUuaz8uDdqfgwsYb3uBvDvN6BcH5iGocGsidepqg/zwi6DWoP5eIcYk6qGvZkQW + sI1N4k12ImbK+SOo5PLmJTasfBiGu3xDDeOrxXSgXxfepbRHX2/TlzTfhAhKJ6HC+zhOYlbXSgIu + LH8SJa0+5YLqhECdXV/UPm0LNidh4gCzLs5U37xOxnTXygJ8erciMn0+vKXU9QxuT5eKsPV9SD5o + JjwlR0T1ozj3LFxmEy5ufaK6pJv9REVVBz+81l+55W0FY4zAEWQJErahD3guWPMJRyVqtfHeL4Kr + mWDlY9hDI+pne4lcEEQRRhVwrv0UuNMEYvtlIRDFm3Tsk7cOvwN5kLFM3/0y5mUNPpHsYiNBvbFo + /O4J8+gzUH133RiTYKq3P/2lLqyvMbtat0C5KCwinMw6brb66EB4eyfUPF926UBTF4JItyXs79sX + mLhWuYD38Xam+BXUxiRliy7zrerjQ3GtjaV1aij1m9BDMBBK8HErqfvhMz0I750nslfzBI9nWPzy + wRvkpJ2gthc3pOPtj7d8t7Ijw3aH6TWOlZg9s1cIqsuxwG7THbzlA+7dn34oueOxn4GhhGB6dRKR + Rrcux8Pmm8D3hjjUDjcl6AVx0X/6hernDy4nFxMErxvLp3tk6PHMKbMPOV1asBOimzdv+XcDboJ5 + pUeh3pXzW4QhmBeJI4D/sng6YWsHtZsiYY0VB7Ao93sDxe+eRxJ/PsWjNB1chVN2JsXndC4ZfGU+ + LD7+E9+2hQcGUb/5UG6Hmrr6VKWDIsZbaLVii37180dvDOfTByOO/7J59+R24FQULbYGaveMEx4F + sA9LQiZ4f3vjln93MDvaIj1UWtBP/mBcJPGwlRG3FdK+xbzmQ0fSXCI0U5JOsMMh/JhGRCbPyNN2 + EFwe4DIysVmQz596hDQ2jghQHABWInWBJtzL6HvMI2PZp0UHy++G/OFD9Kd/PCcDpH22jtEeNvSm + 3B4bkyybqYiHMF9s2HXpATvJzu+H21froPHe47W+eI+MeV9D4Sk/KM7JUC7oxSmQyvXrz/sKd/Tc + gp5uMXXLg97PvRibamULNWq+eGLj5Ywr+EmHBklXeAZr/lfwOg0u9Rl10pl/5icVftMI+7jxPcor + egSjnJtQtxtGxjby2wTNsaPU2E5uSpUuLGDX3Q+oY9y1X+562UB1vGWka+4Jmzu5v8C560uUP5jn + EaM1HUUjmyNRNklcUk78LJAIfoTd+5UYw14ettD1xJj4GaH9ImmODaLGO5J+78z9+H1dMthj+Ult + o1mMH9+BL0Ji7FZFCthGDLfwql0fRD47b8aMR8jBR9Z/EDeezulsbpVOmQQaYaRdFK+NegeBQLo0 + dP+Ll2kQHbzzKKAe2tKSwKhRgG5pPdXG7yld9V8Nqo+XUK9kRzZFstfAIwt2a/3nKaOjxgGmRmeM + q5Ma0zMYt8B26JsI/quNhwuSTBjzi7zytb5vzpPeQd/2e+yapQ/mcjZyuOoJMt4XZLBxLjIoXAdI + 91U3eIM+VAW0xcJd4zMYtNu+JFBGHKIuGM7lOH3bE2TP24Pke/+dFtjauaq/nJ/YrLOyZ8+84MGL + czFFc1b0M8irE1i+IkbK2/K9cVbFCj4leqBBLErpLGxn6Y+fYj08Nf589SGB8gQc6tdYAEx9eNzP + z8BYvfurPq5r8A6vGRJneYrZ1xgKEO5pjqQdeHjT1TZ1yCuZRmPOlD1yUEL9dz0U+5sasFh/NnAO + kgatfMBjA6UuFBsyI3jeHXtRHppFCTSWELVMtZL9+FPuqQjjyW168m4lHm4ZyrB9SGw2lFWI4I/v + 2fNNN5ZXkJIfvuMdn5wYnQ3vBF58LFFzvyHl4te0gU6yYOoOocymSRgWxaEzJXLlkp6a84WD01eK + MTrlvEc5cZzgz08orZ3Sz1Hv+LA4LwXqPw85XRoSmGCtX2wB5eSRH3/R6PtMf/qgRgV24YpX1L3b + G9DoQYegVQ4azWossKXhcwXy3v5Etu1dALOrXp2f3iP5O0zAJBwcCMlnuVA7OFpsSd53Hfjmh6Dp + s5fB1B86F2oiGqgujJt+vHBzBL8oacnh2TbG6lfo6t7mbDLHh75n9rDN4Ob5yMnE+YdUNNjXh8JW + n6jRn1BKeifZwbzQGmq9466fCqvYghsMJXqwqls/nXCwg9nteMP9qTHTuWquGXjn/BE/yqooh0mW + TrDzKxfvuxOLxxFXBOK0Hn96yBuNs6ADbJxjalUyiAeVRDx8Sgdr9fNkwOJWsuHHDwdq2oaVstnw + Lsra3xDZDkm5qL5lA9dsFqwZ26mk15uhq6s/geZEbMtpu8sk6HbenjCmDylZQpmHd1H8Eq59XNJJ + w0v2ix/ZXlrPmDfn1IQEciJi2SFnJBJZAciYA+q9xaZst9PFhheFbDDikls//Pr9eB8WvPo/rJeH + fIGd9z5i1JKqZBCiECof4Y7GD+q8yQvOUNFukoSk8r0AVo29A0EX1IjTXsAYdqeEg/tHXZL+kg79 + jGOjgpb3Fiha+9UyqucO3gt+T3cTb3rzNRIvAF26DF2Dhfcq3jsiuOIttWU7NxgwlRu80jbEZnpo + yuV4t11olUQjW1E/xEM73wqowNcWbYOjBUQjdQgoMtUgJT8wQNdjmFa3HVJfmZDOv/jBTTdQg1d1 + Q5QtfALZQTmTjV5YTHzYBx0i0EKkvLRzutjG0YY3XGl43320cmkC/ATv8JwRuDNwzPLrdoLiLYCE + O+Unj3zxlUBeFxRqa0PDltGYczgPYU513zyk08Ud/suvCxrYeMPNYBPcLfyLoqNRpfM4dReZdsOX + Gmv8BnjMF3VfBRq157fhsdUf+YP/Jh3SkqzXV375ae4cDAa9O4Xyq85kbO8vocEKPlWkZbI76nfX + 0lj1nQ3f4pMgyKRDPJcdJWDVz1g/isd+apHeQCcEEpGkx3vtZztbDfI2ojH3dNK5edg+YCN/J3xB + rFJ83xcb0rd8oElXLylb/WMoG4cbNkFRA+a+MgjuclbhtT/1Q6npF1i2dY/G99XzgMppFbwBvEGb + TW2mk/XYk18+kumzv7MV3zog3kMBW9P5GtN984CgzOeAplzRAMY/Qh9qhwxi+9L2HvmorQLvzYYS + /pcvTbDPoDJ+OGxspy4dkdQOkNSnhP7xeyc+6xQdSToObFmP+dB0dPjz5/y5P4KpKE4S5LrKwUfd + cOLpA9sJBm4l4b2o1mDks5stvxt9QZvryzFE+ZBIsFVJhC3eEOLlgiUEV7398+fLRchfJ9j1Tx1J + vU3ZhD5RDfn4RP/g3TRUBgdewmVGEKOM0VVPqmNUHFc/TO6ptH9VCq88NcTC7NJPkzxd1C46UGzz + XMQWNpYKJOfjm7qRn6eTd2xz2ZjeHnXTyionH99D+CmhQQ+9NMTkMnQRXP1DctdGuRx++Pvrb/P8 + jFMW3AYflmLaUeMlRfHsFc0NpBlp0eIHbso+qOFhMdw2dHeKTLY4sInA6q9QzVK+MUt9eYH3d+Bi + G3Xcb74hQfFr8diUzzTtv1oWQi93Iuyu/GomwSmDn1OxJ7TxYPqHn1fqjcfxqv/H4FqZEIEeko19 + N9nkxvIENFqeKcpeu5gN9OvA/KHvidKJu35c/WEwbphHNgKPAXtpTQ7X65F3oV9jXjCFBK71QfJh + uKzxSCpoeLpA4BN8PUFxkgWGN/+MPtNZjKfB0jqwNPcYKWVk9MSL2gYO4MZRLXhV8fDkD9yvX638 + bPHIqJ4bQKrxgfGxinr68cMahlcvI1zfBWDLt94NbmpHpP55dyyne9E6yjXEZ4pNP0iXT5Lp4Mdf + DodULKdigyAssGNS4+by/WxPmgJ7h6iobosLo3E72bALHERdeRpSho8gU8RrK2FDS1rAaE1c+Xi6 + OngvTDhubyG1YU0e0rreT2elvSXgsbe11X/h4w4/6g4qnM2o+0CBMVzbo6IGm/eB7gZBZIs2Sz4Q + xarFXslmNl6VcIG3R7ojm6x+pYQ80wv0M9GhjvTQyj9+YLWXXtg7+E46ZOmUAB84ENtfilImEVmH + nU4Ztk8fviyHsOLh4xkVFNH9o58/h4cLqy2KqeVfmngyDwcCfnrQrWDvLeWTLyDciojMUKExPZKw + Utd8WPUbH48isXi47VSN7vVvHbdGduN/74+91T+ZCUlsaF7tOxJJtivnMjogOPfBFykbXgdMEBUd + /vyj3arPhNX/h9P4EMl8DvR0K6bbLTxTNyTt6u9Om29nA99qvmj+zc9++m/tp/hwdjTAWJopYOv3 + ATUuV9/46WMYCo+QyMI7N6a38c0BTvUWa9Zsp9OmvBTw8Hi/kGoOHWBnMPJwnLbWOn/cG9OozzdA + 57NFRjPN+uYraZHqTNGHwBnmxrzTPQ5kFBLqnZoqpc+Cmeo63/mTX0vnKwWUky2hSIi1cuKD9gmz + PGc4WB4onlJV55T1eyGB9JT98atWPwQ7q78vKLZb/In34TBYbJpPEfrpS+xex7ocL7DdgdVfoZbT + uDGvDnoFjVYaaeBEoB8CV1qUNT7YDsm5nwRTuIFtZh2Qast6Kkx2T6BDGSWMCxKDSNrOVFte4rH2 + /OzLX/6AvBNsbNkV60n/zU6g8aoz9i4ul34ZjAr481vHgX2NP/wm+XyvhDlEKrvoIihQt5sGG9QL + 0umxTZDUJZuAKKKwLenpberKOi+hxnizjOnd7yCMUdBhtBVAObz3zIRAbgvqvjQhJelt4OCzO9l/ + 9Mnoqy6Cydc/0eN+pGVzOHIZVG56grH4vRkzdRiEZ0pO6/xB9ma5bxpYf49XbObhhg2DdeggsCYX + P9Z4zDhkJxgKrxD7cPvqWXG0d/+V3+v8bkbb4xNK1mZY+/tcTh/pgpRnIrnrfEnwhkwqntC8Ng/q + UdtnA+z2EZwzvsI3aETpnCt+ru6R80Xbec/AKJz5EMRP8iJiqkkx5W59BpRvdln9SsxICE861ER/ + QGs9xOx2XiY49/hLlo1cpsypAwJ3g6+hMkGeMZ3O+Z/5FdnoR7H8469z9xIjUf6SeArNnQ6d921c + /SjbEJuNwQH9XOTUkyStF7psDuFLtS4YzR6fLmZVdvAqSv2KL008fz9KqHBytqPROl8eAvuDwF0U + vtQHj/qPXwjdNMbUjsDoFZmYnMDOP4bUtBbRoOVidPDv366A//zXX3/9r98Og7p5PD/rxoDxOY// + /u+tAv9OHsm/eX77b7r9sxOBDEn+/Puf/9qE8HfbN3U7/u+xqZ7f4e9//pL/7Db4e2zG5PP/nP7X + eq///Nf/AQAA//8DADKcAULhIAAA + headers: + Access-Control-Allow-Origin: + - '*' + Alt-Svc: + - h3=":443"; ma=86400, h3-29=":443"; ma=86400 + - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000 + Cache-Control: + - private + Cf-Cache-Status: + - DYNAMIC + Cf-Ray: + - 7ccfc67169206302-ORD + Content-Encoding: + - gzip + Content-Type: + - application/json + Date: + - Thu, 25 May 2023 18:17:26 GMT + Function-Execution-Id: + - pbmelvnnggiz + Openai-Organization: + - significant-gravitas + Openai-Processing-Ms: + - '21' + Openai-Version: + - '2020-10-01' + Server: + - Google Frontend + Strict-Transport-Security: + - max-age=15724800; includeSubDomains + Vary: + - Accept-Encoding + X-Cloud-Trace-Context: + - 259a6a1840b1fce07231112aa9f7de8f + X-Powered-By: + - Express + X-Ratelimit-Limit-Requests: + - '3000' + X-Ratelimit-Remaining-Requests: + - '2999' + X-Ratelimit-Reset-Requests: + - 20ms + X-Request-Id: + - 734ff3d0816385775c9c45af64184a3a + status: + code: 200 + message: OK +version: 1 From 305be13d3c125420709055c09bae763fafe9c5d4 Mon Sep 17 00:00:00 2001 From: Reinier van der Leer Date: Thu, 25 May 2023 20:21:41 +0200 Subject: [PATCH 54/54] Trigger CI