diff --git a/.release-please-manifest.json b/.release-please-manifest.json index ea27dee5..ad4ec2d1 100644 --- a/.release-please-manifest.json +++ b/.release-please-manifest.json @@ -1,3 +1,3 @@ { - ".": "0.4.0-alpha.5" + ".": "0.4.0-alpha.6" } diff --git a/.stats.yml b/.stats.yml index eca127a5..f4dfa902 100644 --- a/.stats.yml +++ b/.stats.yml @@ -1,4 +1,4 @@ -configured_endpoints: 98 -openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/llamastack%2Fllama-stack-client-8ca5cbc3919d101274c4f94c6046257b410584281f4e05ee4dc0ebacd7adb355.yml -openapi_spec_hash: ee5e6406a8e0bfb84f810c2123e86ea5 -config_hash: 99e1ad2a9fd4559a679d06f9115787a4 +configured_endpoints: 89 +openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/llamastack%2Fllama-stack-client-af20fa1866f461e9fef4f7fd226d757b0dddee907e2a083fa582ac0580735e20.yml +openapi_spec_hash: 68caf264f8ade02c34456c526d7300b1 +config_hash: e8a35d9d37cb4774b4b0fe1b167dc156 diff --git a/CHANGELOG.md b/CHANGELOG.md index 6ae20470..7f4bdcf0 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,27 @@ # Changelog +## 0.4.0-alpha.6 (2025-11-12) + +Full Changelog: [v0.4.0-alpha.5...v0.4.0-alpha.6](https://github.com/llamastack/llama-stack-client-python/compare/v0.4.0-alpha.5...v0.4.0-alpha.6) + +### Features + +* add new API filter for all non-deprecated APIs ([59c62f0](https://github.com/llamastack/llama-stack-client-python/commit/59c62f0b8a74b880d5841c073aa01e3d57205cdd)) +* Adding option to return embeddings and metadata from `/vector_stores/*/files/*/content` and UI updates ([696ed27](https://github.com/llamastack/llama-stack-client-python/commit/696ed279d7abb9386dff490693cce8cd3ec8dbe6)) +* Implement the 'max_tool_calls' parameter for the Responses API ([9f57efe](https://github.com/llamastack/llama-stack-client-python/commit/9f57efef4fcbc7fdd4e59d3f3be40192915464d9)) + + +### Bug Fixes + +* compat with Python 3.14 ([b971369](https://github.com/llamastack/llama-stack-client-python/commit/b971369a0ca187ff7641fe27365ce9abe27bb994)) +* **compat:** update signatures of `model_dump` and `model_dump_json` for Pydantic v1 ([f17bdac](https://github.com/llamastack/llama-stack-client-python/commit/f17bdacb4022ae91eb8463a04592f6f0920bb719)) +* **docs:** correct inconsistent python version requirement ([c4b7aaa](https://github.com/llamastack/llama-stack-client-python/commit/c4b7aaa86cb14ffef0604d7aa85a94a633f820af)) + + +### Chores + +* **package:** drop Python 3.8 support ([f6b66d4](https://github.com/llamastack/llama-stack-client-python/commit/f6b66d4a5151f667e296397289eb25197aaca517)) + ## 0.4.0-alpha.5 (2025-11-04) Full Changelog: [v0.4.0-alpha.4...v0.4.0-alpha.5](https://github.com/llamastack/llama-stack-client-python/compare/v0.4.0-alpha.4...v0.4.0-alpha.5) diff --git a/README.md b/README.md index 44184d41..a3f81a38 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ [![PyPI version](https://img.shields.io/pypi/v/llama_stack_client.svg)](https://pypi.org/project/llama_stack_client/) [![PyPI - Downloads](https://img.shields.io/pypi/dm/llama-stack-client)](https://pypi.org/project/llama-stack-client/) [![Discord](https://img.shields.io/discord/1257833999603335178)](https://discord.gg/llama-stack) -The Llama Stack Client Python library provides convenient access to the Llama Stack Client REST API from any Python 3.7+ +The Llama Stack Client Python library provides convenient access to the Llama Stack Client REST API from any Python 3.12+ application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx). @@ -33,10 +33,15 @@ from llama_stack_client import LlamaStackClient client = LlamaStackClient() -response = client.models.register( - model_id="model_id", +completion = client.chat.completions.create( + messages=[ + { + "content": "string", + "role": "user", + } + ], + model="model", ) -print(response.identifier) ``` While you can provide an `api_key` keyword argument, we recommend using [python-dotenv](https://pypi.org/project/python-dotenv/) to add `LLAMA_STACK_CLIENT_API_KEY="My API Key"` to your `.env` file so that your API Key is not stored in source control. @@ -48,33 +53,33 @@ llama-stack-client inference chat-completion --message "hello, what model are yo ```python OpenAIChatCompletion( - id='AmivnS0iMv-mmEE4_A0DK1T', + id="AmivnS0iMv-mmEE4_A0DK1T", choices=[ OpenAIChatCompletionChoice( - finish_reason='stop', + finish_reason="stop", index=0, message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam( - role='assistant', + role="assistant", content="Hello! I am an AI designed by Meta AI, and my model is a type of recurrent neural network (RNN) called a transformer. My specific architecture is based on the BERT (Bidirectional Encoder Representations from Transformers) model, which is a pre-trained language model that has been fine-tuned for a variety of natural language processing tasks.\n\nHere are some key details about my model:\n\n* **Model type:** Transformer-based language model\n* **Architecture:** BERT (Bidirectional Encoder Representations from Transformers)\n* **Training data:** A massive corpus of text data, including but not limited to:\n\t+ Web pages\n\t+ Books\n\t+ Articles\n\t+ Forums\n\t+ Social media platforms\n* **Parameters:** My model has approximately 1.5 billion parameters, which allows me to understand and generate human-like language.\n* **Capabilities:** I can perform a wide range of tasks, including but not limited to:\n\t+ Answering questions\n\t+ Generating text\n\t+ Translating languages\n\t+ Summarizing content\n\t+ Offering suggestions and ideas\n\nI'm constantly learning and improving, so please bear with me if I make any mistakes or don't quite understand what you're asking. How can I assist you today?", name=None, tool_calls=None, - function_call=None + function_call=None, ), - logprobs=OpenAIChatCompletionChoiceLogprobs(content=None, refusal=None) + logprobs=OpenAIChatCompletionChoiceLogprobs(content=None, refusal=None), ) ], created=1749825661, - model='Llama-3.3-70B-Instruct', - object='chat.completion', + model="Llama-3.3-70B-Instruct", + object="chat.completion", system_fingerprint=None, usage={ - 'completion_tokens': 258, - 'prompt_tokens': 16, - 'total_tokens': 274, - 'completion_tokens_details': None, - 'prompt_tokens_details': None + "completion_tokens": 258, + "prompt_tokens": 16, + "total_tokens": 274, + "completion_tokens_details": None, + "prompt_tokens_details": None, }, - service_tier=None + service_tier=None, ) ``` @@ -93,10 +98,15 @@ client = AsyncLlamaStackClient( async def main() -> None: - response = await client.models.register( - model_id="model_id", + completion = await client.chat.completions.create( + messages=[ + { + "content": "string", + "role": "user", + } + ], + model="model", ) - print(response.identifier) asyncio.run(main()) @@ -127,10 +137,15 @@ async def main() -> None: async with AsyncLlamaStackClient( http_client=DefaultAioHttpClient(), ) as client: - response = await client.models.register( - model_id="model_id", + completion = await client.chat.completions.create( + messages=[ + { + "content": "string", + "role": "user", + } + ], + model="model", ) - print(response.identifier) asyncio.run(main()) @@ -198,11 +213,10 @@ from llama_stack_client import LlamaStackClient client = LlamaStackClient() -client.toolgroups.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", +tool_defs = client.tool_runtime.list_tools( mcp_endpoint={"uri": "uri"}, ) +print(tool_defs.mcp_endpoint) ``` ## File uploads diff --git a/api.md b/api.md index ddc0455b..caca03e0 100644 --- a/api.md +++ b/api.md @@ -2,12 +2,8 @@ ```python from llama_stack_client.types import ( - Document, InterleavedContent, InterleavedContentItem, - ParamType, - QueryConfig, - QueryResult, SafetyViolation, SamplingParams, ScoringResult, @@ -27,8 +23,6 @@ Methods: - client.toolgroups.list() -> ToolgroupListResponse - client.toolgroups.get(toolgroup_id) -> ToolGroup -- client.toolgroups.register(\*\*params) -> None -- client.toolgroups.unregister(toolgroup_id) -> None # Tools @@ -56,13 +50,6 @@ Methods: - client.tool_runtime.invoke_tool(\*\*params) -> ToolInvocationResult - client.tool_runtime.list_tools(\*\*params) -> ToolRuntimeListToolsResponse -## RagTool - -Methods: - -- client.tool_runtime.rag_tool.insert(\*\*params) -> None -- client.tool_runtime.rag_tool.query(\*\*params) -> QueryResult - # Responses Types: @@ -268,7 +255,7 @@ Methods: - client.vector_stores.files.update(file_id, \*, vector_store_id, \*\*params) -> VectorStoreFile - client.vector_stores.files.list(vector_store_id, \*\*params) -> SyncOpenAICursorPage[VectorStoreFile] - client.vector_stores.files.delete(file_id, \*, vector_store_id) -> FileDeleteResponse -- client.vector_stores.files.content(file_id, \*, vector_store_id) -> FileContentResponse +- client.vector_stores.files.content(file_id, \*, vector_store_id, \*\*params) -> FileContentResponse ## FileBatches @@ -298,7 +285,6 @@ from llama_stack_client.types import ( Model, ModelRetrieveResponse, ModelListResponse, - ModelRegisterResponse, ) ``` @@ -306,8 +292,6 @@ Methods: - client.models.retrieve(model_id) -> ModelRetrieveResponse - client.models.list() -> ModelListResponse -- client.models.register(\*\*params) -> ModelRegisterResponse -- client.models.unregister(model_id) -> None ## OpenAI @@ -376,8 +360,6 @@ Methods: - client.shields.retrieve(identifier) -> Shield - client.shields.list() -> ShieldListResponse -- client.shields.delete(identifier) -> None -- client.shields.register(\*\*params) -> Shield # Scoring @@ -409,7 +391,6 @@ Methods: - client.scoring_functions.retrieve(scoring_fn_id) -> ScoringFn - client.scoring_functions.list() -> ScoringFunctionListResponse -- client.scoring_functions.register(\*\*params) -> None # Files diff --git a/pyproject.toml b/pyproject.toml index cf8fabae..28d0553a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "llama_stack_client" -version = "0.4.0-alpha.5" +version = "0.4.0-alpha.6" description = "The official Python library for the llama-stack-client API" dynamic = ["readme"] license = "MIT" diff --git a/requirements-dev.lock b/requirements-dev.lock index d4264113..3febf098 100644 --- a/requirements-dev.lock +++ b/requirements-dev.lock @@ -1,158 +1,66 @@ # This file was autogenerated by uv via the following command: # uv export -o requirements-dev.lock --no-hashes -e . -annotated-types==0.7.0 - # via pydantic +annotated-types==0.7.0 ; extra == 'group-18-llama-stack-client-pydantic-v2' or extra != 'group-18-llama-stack-client-pydantic-v1' anyio==4.8.0 - # via - # httpx - # llama-stack-client black==25.9.0 certifi==2024.12.14 - # via - # httpcore - # httpx - # requests cfgv==3.4.0 - # via pre-commit charset-normalizer==3.4.4 - # via requests click==8.3.0 - # via - # black - # llama-stack-client -colorama==0.4.6 ; sys_platform == 'win32' - # via - # click - # pytest - # tqdm +colorama==0.4.6 ; sys_platform == 'win32' or (extra == 'group-18-llama-stack-client-pydantic-v1' and extra == 'group-18-llama-stack-client-pydantic-v2') dirty-equals==0.9.0 distlib==0.4.0 - # via virtualenv distro==1.9.0 - # via llama-stack-client execnet==2.1.1 - # via pytest-xdist filelock==3.20.0 - # via virtualenv fire==0.7.1 - # via llama-stack-client h11==0.16.0 - # via httpcore httpcore==1.0.9 - # via httpx httpx==0.28.1 - # via - # llama-stack-client - # respx identify==2.6.15 - # via pre-commit idna==3.10 - # via - # anyio - # httpx - # requests importlib-metadata==8.6.1 iniconfig==2.0.0 - # via pytest markdown-it-py==3.0.0 - # via rich mdurl==0.1.2 - # via markdown-it-py mypy==1.14.1 mypy-extensions==1.0.0 - # via - # black - # mypy nodeenv==1.9.1 - # via - # pre-commit - # pyright numpy==2.3.4 - # via pandas packaging==24.2 - # via - # black - # pytest pandas==2.3.3 - # via llama-stack-client pathspec==0.12.1 - # via black platformdirs==4.5.0 - # via - # black - # virtualenv pluggy==1.5.0 - # via pytest pre-commit==4.3.0 prompt-toolkit==3.0.52 - # via llama-stack-client pyaml==25.7.0 - # via llama-stack-client -pydantic==2.11.9 - # via llama-stack-client -pydantic-core==2.33.2 - # via pydantic +pydantic==1.10.23 ; extra == 'group-18-llama-stack-client-pydantic-v1' +pydantic==2.11.9 ; extra == 'group-18-llama-stack-client-pydantic-v2' or extra != 'group-18-llama-stack-client-pydantic-v1' +pydantic-core==2.33.2 ; extra == 'group-18-llama-stack-client-pydantic-v2' or extra != 'group-18-llama-stack-client-pydantic-v1' pygments==2.19.1 - # via - # pytest - # rich pyright==1.1.399 pytest==8.4.1 - # via - # pytest-asyncio - # pytest-xdist pytest-asyncio==0.24.0 pytest-xdist==3.7.0 python-dateutil==2.9.0.post0 - # via - # pandas - # time-machine pytokens==0.2.0 - # via black pytz==2024.2 - # via pandas pyyaml==6.0.3 - # via - # pre-commit - # pyaml requests==2.32.5 - # via llama-stack-client respx==0.22.0 rich==13.9.4 - # via llama-stack-client ruff==0.9.4 six==1.17.0 - # via python-dateutil sniffio==1.3.1 - # via - # anyio - # llama-stack-client termcolor==3.1.0 - # via - # fire - # llama-stack-client time-machine==2.16.0 tqdm==4.67.1 - # via llama-stack-client typing-extensions==4.12.2 - # via - # anyio - # llama-stack-client - # mypy - # pydantic - # pydantic-core - # pyright - # typing-inspection -typing-inspection==0.4.1 - # via pydantic +typing-inspection==0.4.1 ; extra == 'group-18-llama-stack-client-pydantic-v2' or extra != 'group-18-llama-stack-client-pydantic-v1' tzdata==2025.2 - # via pandas urllib3==2.5.0 - # via requests virtualenv==20.35.3 - # via pre-commit wcwidth==0.2.14 - # via prompt-toolkit zipp==3.21.0 - # via importlib-metadata diff --git a/src/llama_stack_client/__init__.py b/src/llama_stack_client/__init__.py index 5d359ea7..572266f9 100644 --- a/src/llama_stack_client/__init__.py +++ b/src/llama_stack_client/__init__.py @@ -47,14 +47,12 @@ from .lib.agents.agent import Agent from .lib.agents.event_logger import EventLogger as AgentEventLogger from .lib.inference.event_logger import EventLogger as InferenceEventLogger -from .types.shared_params.document import Document as RAGDocument __all__ = [ "types", "Agent", "AgentEventLogger", "InferenceEventLogger", - "RAGDocument", "__version__", "__title__", "NoneType", diff --git a/src/llama_stack_client/_base_client.py b/src/llama_stack_client/_base_client.py index bc3bf7b6..f2c5cb77 100644 --- a/src/llama_stack_client/_base_client.py +++ b/src/llama_stack_client/_base_client.py @@ -780,9 +780,9 @@ def _should_retry(self, response: httpx.Response) -> bool: # Retry internal errors. if response.status_code in ( - 502, # Bad Gateway - 503, # Service Unavailable - 504, # Gateway Timeout + 502, # Bad Gateway + 503, # Service Unavailable + 504, # Gateway Timeout ): log.debug("Retrying due to status code %i", response.status_code) return True diff --git a/src/llama_stack_client/_models.py b/src/llama_stack_client/_models.py index 7d0177ec..1ab2f684 100644 --- a/src/llama_stack_client/_models.py +++ b/src/llama_stack_client/_models.py @@ -8,6 +8,7 @@ import os import inspect +import weakref from typing import TYPE_CHECKING, Any, Type, Union, Generic, TypeVar, Callable, Optional, cast from datetime import date, datetime from typing_extensions import ( @@ -262,15 +263,16 @@ def model_dump( mode: Literal["json", "python"] | str = "python", include: IncEx | None = None, exclude: IncEx | None = None, + context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, + exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal["none", "warn", "error"] = True, - context: dict[str, Any] | None = None, - serialize_as_any: bool = False, fallback: Callable[[Any], Any] | None = None, + serialize_as_any: bool = False, ) -> dict[str, Any]: """Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#modelmodel_dump @@ -278,16 +280,24 @@ def model_dump( Args: mode: The mode in which `to_python` should run. - If mode is 'json', the dictionary will only contain JSON serializable types. - If mode is 'python', the dictionary may contain any Python objects. - include: A list of fields to include in the output. - exclude: A list of fields to exclude from the output. + If mode is 'json', the output will only contain JSON serializable types. + If mode is 'python', the output may contain non-JSON-serializable Python objects. + include: A set of fields to include in the output. + exclude: A set of fields to exclude from the output. + context: Additional context to pass to the serializer. by_alias: Whether to use the field's alias in the dictionary key if defined. - exclude_unset: Whether to exclude fields that are unset or None from the output. - exclude_defaults: Whether to exclude fields that are set to their default value from the output. - exclude_none: Whether to exclude fields that have a value of `None` from the output. - round_trip: Whether to enable serialization and deserialization round-trip support. - warnings: Whether to log warnings when invalid fields are encountered. + exclude_unset: Whether to exclude fields that have not been explicitly set. + exclude_defaults: Whether to exclude fields that are set to their default value. + exclude_none: Whether to exclude fields that have a value of `None`. + exclude_computed_fields: Whether to exclude computed fields. + While this can be useful for round-tripping, it is usually recommended to use the dedicated + `round_trip` parameter instead. + round_trip: If True, dumped values should be valid as input for non-idempotent types such as Json[T]. + warnings: How to handle serialization errors. False/"none" ignores them, True/"warn" logs errors, + "error" raises a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError]. + fallback: A function to call when an unknown value is encountered. If not provided, + a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError] error is raised. + serialize_as_any: Whether to serialize fields with duck-typing serialization behavior. Returns: A dictionary representation of the model. @@ -304,6 +314,8 @@ def model_dump( raise ValueError("serialize_as_any is only supported in Pydantic v2") if fallback is not None: raise ValueError("fallback is only supported in Pydantic v2") + if exclude_computed_fields != False: + raise ValueError("exclude_computed_fields is only supported in Pydantic v2") dumped = super().dict( # pyright: ignore[reportDeprecated] include=include, exclude=exclude, @@ -320,15 +332,17 @@ def model_dump_json( self, *, indent: int | None = None, + ensure_ascii: bool = False, include: IncEx | None = None, exclude: IncEx | None = None, + context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, + exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal["none", "warn", "error"] = True, - context: dict[str, Any] | None = None, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, ) -> str: @@ -360,6 +374,10 @@ def model_dump_json( raise ValueError("serialize_as_any is only supported in Pydantic v2") if fallback is not None: raise ValueError("fallback is only supported in Pydantic v2") + if ensure_ascii != False: + raise ValueError("ensure_ascii is only supported in Pydantic v2") + if exclude_computed_fields != False: + raise ValueError("exclude_computed_fields is only supported in Pydantic v2") return super().json( # type: ignore[reportDeprecated] indent=indent, include=include, @@ -579,6 +597,9 @@ class CachedDiscriminatorType(Protocol): __discriminator__: DiscriminatorDetails +DISCRIMINATOR_CACHE: weakref.WeakKeyDictionary[type, DiscriminatorDetails] = weakref.WeakKeyDictionary() + + class DiscriminatorDetails: field_name: str """The name of the discriminator field in the variant class, e.g. @@ -621,8 +642,9 @@ def __init__( def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any, ...]) -> DiscriminatorDetails | None: - if isinstance(union, CachedDiscriminatorType): - return union.__discriminator__ + cached = DISCRIMINATOR_CACHE.get(union) + if cached is not None: + return cached discriminator_field_name: str | None = None @@ -675,7 +697,7 @@ def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any, discriminator_field=discriminator_field_name, discriminator_alias=discriminator_alias, ) - cast(CachedDiscriminatorType, union).__discriminator__ = details + DISCRIMINATOR_CACHE.setdefault(union, details) return details diff --git a/src/llama_stack_client/_utils/_sync.py b/src/llama_stack_client/_utils/_sync.py index 7c6e2342..9a56cc14 100644 --- a/src/llama_stack_client/_utils/_sync.py +++ b/src/llama_stack_client/_utils/_sync.py @@ -6,11 +6,9 @@ from __future__ import annotations -import sys import asyncio import functools -import contextvars -from typing import Any, TypeVar, Callable, Awaitable +from typing import TypeVar, Callable, Awaitable from typing_extensions import ParamSpec import anyio @@ -21,34 +19,11 @@ T_ParamSpec = ParamSpec("T_ParamSpec") -if sys.version_info >= (3, 9): - _asyncio_to_thread = asyncio.to_thread -else: - # backport of https://docs.python.org/3/library/asyncio-task.html#asyncio.to_thread - # for Python 3.8 support - async def _asyncio_to_thread( - func: Callable[T_ParamSpec, T_Retval], /, *args: T_ParamSpec.args, **kwargs: T_ParamSpec.kwargs - ) -> Any: - """Asynchronously run function *func* in a separate thread. - - Any *args and **kwargs supplied for this function are directly passed - to *func*. Also, the current :class:`contextvars.Context` is propagated, - allowing context variables from the main thread to be accessed in the - separate thread. - - Returns a coroutine that can be awaited to get the eventual result of *func*. - """ - loop = asyncio.events.get_running_loop() - ctx = contextvars.copy_context() - func_call = functools.partial(ctx.run, func, *args, **kwargs) - return await loop.run_in_executor(None, func_call) - - async def to_thread( func: Callable[T_ParamSpec, T_Retval], /, *args: T_ParamSpec.args, **kwargs: T_ParamSpec.kwargs ) -> T_Retval: if sniffio.current_async_library() == "asyncio": - return await _asyncio_to_thread(func, *args, **kwargs) + return await asyncio.to_thread(func, *args, **kwargs) return await anyio.to_thread.run_sync( functools.partial(func, *args, **kwargs), @@ -59,10 +34,7 @@ async def to_thread( def asyncify(function: Callable[T_ParamSpec, T_Retval]) -> Callable[T_ParamSpec, Awaitable[T_Retval]]: """ Take a blocking function and create an async one that receives the same - positional and keyword arguments. For python version 3.9 and above, it uses - asyncio.to_thread to run the function in a separate thread. For python version - 3.8, it uses locally defined copy of the asyncio.to_thread function which was - introduced in python 3.9. + positional and keyword arguments. Usage: diff --git a/src/llama_stack_client/resources/alpha/benchmarks.py b/src/llama_stack_client/resources/alpha/benchmarks.py index dc74cc85..ee613ed6 100644 --- a/src/llama_stack_client/resources/alpha/benchmarks.py +++ b/src/llama_stack_client/resources/alpha/benchmarks.py @@ -8,6 +8,7 @@ from __future__ import annotations +import typing_extensions from typing import Dict, Type, Union, Iterable, cast import httpx @@ -107,6 +108,7 @@ def list( cast_to=cast(Type[BenchmarkListResponse], DataWrapper[BenchmarkListResponse]), ) + @typing_extensions.deprecated("deprecated") def register( self, *, @@ -244,6 +246,7 @@ async def list( cast_to=cast(Type[BenchmarkListResponse], DataWrapper[BenchmarkListResponse]), ) + @typing_extensions.deprecated("deprecated") async def register( self, *, @@ -315,8 +318,10 @@ def __init__(self, benchmarks: BenchmarksResource) -> None: self.list = to_raw_response_wrapper( benchmarks.list, ) - self.register = to_raw_response_wrapper( - benchmarks.register, + self.register = ( # pyright: ignore[reportDeprecated] + to_raw_response_wrapper( + benchmarks.register, # pyright: ignore[reportDeprecated], + ) ) @@ -330,8 +335,10 @@ def __init__(self, benchmarks: AsyncBenchmarksResource) -> None: self.list = async_to_raw_response_wrapper( benchmarks.list, ) - self.register = async_to_raw_response_wrapper( - benchmarks.register, + self.register = ( # pyright: ignore[reportDeprecated] + async_to_raw_response_wrapper( + benchmarks.register, # pyright: ignore[reportDeprecated], + ) ) @@ -345,8 +352,10 @@ def __init__(self, benchmarks: BenchmarksResource) -> None: self.list = to_streamed_response_wrapper( benchmarks.list, ) - self.register = to_streamed_response_wrapper( - benchmarks.register, + self.register = ( # pyright: ignore[reportDeprecated] + to_streamed_response_wrapper( + benchmarks.register, # pyright: ignore[reportDeprecated], + ) ) @@ -360,6 +369,8 @@ def __init__(self, benchmarks: AsyncBenchmarksResource) -> None: self.list = async_to_streamed_response_wrapper( benchmarks.list, ) - self.register = async_to_streamed_response_wrapper( - benchmarks.register, + self.register = ( # pyright: ignore[reportDeprecated] + async_to_streamed_response_wrapper( + benchmarks.register, # pyright: ignore[reportDeprecated], + ) ) diff --git a/src/llama_stack_client/resources/beta/datasets.py b/src/llama_stack_client/resources/beta/datasets.py index 03321e48..6cc1885b 100644 --- a/src/llama_stack_client/resources/beta/datasets.py +++ b/src/llama_stack_client/resources/beta/datasets.py @@ -8,6 +8,7 @@ from __future__ import annotations +import typing_extensions from typing import Dict, Type, Union, Iterable, cast from typing_extensions import Literal @@ -206,6 +207,7 @@ def iterrows( cast_to=DatasetIterrowsResponse, ) + @typing_extensions.deprecated("deprecated") def register( self, *, @@ -275,6 +277,7 @@ def register( cast_to=DatasetRegisterResponse, ) + @typing_extensions.deprecated("deprecated") def unregister( self, dataset_id: str, @@ -482,6 +485,7 @@ async def iterrows( cast_to=DatasetIterrowsResponse, ) + @typing_extensions.deprecated("deprecated") async def register( self, *, @@ -551,6 +555,7 @@ async def register( cast_to=DatasetRegisterResponse, ) + @typing_extensions.deprecated("deprecated") async def unregister( self, dataset_id: str, @@ -602,11 +607,15 @@ def __init__(self, datasets: DatasetsResource) -> None: self.iterrows = to_raw_response_wrapper( datasets.iterrows, ) - self.register = to_raw_response_wrapper( - datasets.register, + self.register = ( # pyright: ignore[reportDeprecated] + to_raw_response_wrapper( + datasets.register, # pyright: ignore[reportDeprecated], + ) ) - self.unregister = to_raw_response_wrapper( - datasets.unregister, + self.unregister = ( # pyright: ignore[reportDeprecated] + to_raw_response_wrapper( + datasets.unregister, # pyright: ignore[reportDeprecated], + ) ) @@ -626,11 +635,15 @@ def __init__(self, datasets: AsyncDatasetsResource) -> None: self.iterrows = async_to_raw_response_wrapper( datasets.iterrows, ) - self.register = async_to_raw_response_wrapper( - datasets.register, + self.register = ( # pyright: ignore[reportDeprecated] + async_to_raw_response_wrapper( + datasets.register, # pyright: ignore[reportDeprecated], + ) ) - self.unregister = async_to_raw_response_wrapper( - datasets.unregister, + self.unregister = ( # pyright: ignore[reportDeprecated] + async_to_raw_response_wrapper( + datasets.unregister, # pyright: ignore[reportDeprecated], + ) ) @@ -650,11 +663,15 @@ def __init__(self, datasets: DatasetsResource) -> None: self.iterrows = to_streamed_response_wrapper( datasets.iterrows, ) - self.register = to_streamed_response_wrapper( - datasets.register, + self.register = ( # pyright: ignore[reportDeprecated] + to_streamed_response_wrapper( + datasets.register, # pyright: ignore[reportDeprecated], + ) ) - self.unregister = to_streamed_response_wrapper( - datasets.unregister, + self.unregister = ( # pyright: ignore[reportDeprecated] + to_streamed_response_wrapper( + datasets.unregister, # pyright: ignore[reportDeprecated], + ) ) @@ -674,9 +691,13 @@ def __init__(self, datasets: AsyncDatasetsResource) -> None: self.iterrows = async_to_streamed_response_wrapper( datasets.iterrows, ) - self.register = async_to_streamed_response_wrapper( - datasets.register, + self.register = ( # pyright: ignore[reportDeprecated] + async_to_streamed_response_wrapper( + datasets.register, # pyright: ignore[reportDeprecated], + ) ) - self.unregister = async_to_streamed_response_wrapper( - datasets.unregister, + self.unregister = ( # pyright: ignore[reportDeprecated] + async_to_streamed_response_wrapper( + datasets.unregister, # pyright: ignore[reportDeprecated], + ) ) diff --git a/src/llama_stack_client/resources/models/models.py b/src/llama_stack_client/resources/models/models.py index 0b0dc2dd..71e0ad4e 100644 --- a/src/llama_stack_client/resources/models/models.py +++ b/src/llama_stack_client/resources/models/models.py @@ -8,8 +8,7 @@ from __future__ import annotations -from typing import Dict, Type, Union, Iterable, cast -from typing_extensions import Literal +from typing import Type, cast import httpx @@ -21,9 +20,7 @@ OpenAIResourceWithStreamingResponse, AsyncOpenAIResourceWithStreamingResponse, ) -from ...types import model_register_params -from ..._types import Body, Omit, Query, Headers, NoneType, NotGiven, omit, not_given -from ..._utils import maybe_transform, async_maybe_transform +from ..._types import Body, Query, Headers, NotGiven, not_given from ..._compat import cached_property from ..._resource import SyncAPIResource, AsyncAPIResource from ..._response import ( @@ -35,7 +32,6 @@ from ..._wrappers import DataWrapper from ..._base_client import make_request_options from ...types.model_list_response import ModelListResponse -from ...types.model_register_response import ModelRegisterResponse from ...types.model_retrieve_response import ModelRetrieveResponse __all__ = ["ModelsResource", "AsyncModelsResource"] @@ -122,97 +118,6 @@ def list( cast_to=cast(Type[ModelListResponse], DataWrapper[ModelListResponse]), ) - def register( - self, - *, - model_id: str, - metadata: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, - model_type: Literal["llm", "embedding", "rerank"] | Omit = omit, - provider_id: str | Omit = omit, - provider_model_id: str | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> ModelRegisterResponse: - """Register model. - - Register a model. - - Args: - model_id: The identifier of the model to register. - - metadata: Any additional metadata for this model. - - model_type: The type of model to register. - - provider_id: The identifier of the provider. - - provider_model_id: The identifier of the model in the provider. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - return self._post( - "/v1/models", - body=maybe_transform( - { - "model_id": model_id, - "metadata": metadata, - "model_type": model_type, - "provider_id": provider_id, - "provider_model_id": provider_model_id, - }, - model_register_params.ModelRegisterParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=ModelRegisterResponse, - ) - - def unregister( - self, - model_id: str, - *, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """Unregister model. - - Unregister a model. - - Args: - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not model_id: - raise ValueError(f"Expected a non-empty value for `model_id` but received {model_id!r}") - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return self._delete( - f"/v1/models/{model_id}", - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - class AsyncModelsResource(AsyncAPIResource): @cached_property @@ -295,97 +200,6 @@ async def list( cast_to=cast(Type[ModelListResponse], DataWrapper[ModelListResponse]), ) - async def register( - self, - *, - model_id: str, - metadata: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, - model_type: Literal["llm", "embedding", "rerank"] | Omit = omit, - provider_id: str | Omit = omit, - provider_model_id: str | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> ModelRegisterResponse: - """Register model. - - Register a model. - - Args: - model_id: The identifier of the model to register. - - metadata: Any additional metadata for this model. - - model_type: The type of model to register. - - provider_id: The identifier of the provider. - - provider_model_id: The identifier of the model in the provider. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - return await self._post( - "/v1/models", - body=await async_maybe_transform( - { - "model_id": model_id, - "metadata": metadata, - "model_type": model_type, - "provider_id": provider_id, - "provider_model_id": provider_model_id, - }, - model_register_params.ModelRegisterParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=ModelRegisterResponse, - ) - - async def unregister( - self, - model_id: str, - *, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """Unregister model. - - Unregister a model. - - Args: - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not model_id: - raise ValueError(f"Expected a non-empty value for `model_id` but received {model_id!r}") - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return await self._delete( - f"/v1/models/{model_id}", - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - class ModelsResourceWithRawResponse: def __init__(self, models: ModelsResource) -> None: @@ -397,12 +211,6 @@ def __init__(self, models: ModelsResource) -> None: self.list = to_raw_response_wrapper( models.list, ) - self.register = to_raw_response_wrapper( - models.register, - ) - self.unregister = to_raw_response_wrapper( - models.unregister, - ) @cached_property def openai(self) -> OpenAIResourceWithRawResponse: @@ -419,12 +227,6 @@ def __init__(self, models: AsyncModelsResource) -> None: self.list = async_to_raw_response_wrapper( models.list, ) - self.register = async_to_raw_response_wrapper( - models.register, - ) - self.unregister = async_to_raw_response_wrapper( - models.unregister, - ) @cached_property def openai(self) -> AsyncOpenAIResourceWithRawResponse: @@ -441,12 +243,6 @@ def __init__(self, models: ModelsResource) -> None: self.list = to_streamed_response_wrapper( models.list, ) - self.register = to_streamed_response_wrapper( - models.register, - ) - self.unregister = to_streamed_response_wrapper( - models.unregister, - ) @cached_property def openai(self) -> OpenAIResourceWithStreamingResponse: @@ -463,12 +259,6 @@ def __init__(self, models: AsyncModelsResource) -> None: self.list = async_to_streamed_response_wrapper( models.list, ) - self.register = async_to_streamed_response_wrapper( - models.register, - ) - self.unregister = async_to_streamed_response_wrapper( - models.unregister, - ) @cached_property def openai(self) -> AsyncOpenAIResourceWithStreamingResponse: diff --git a/src/llama_stack_client/resources/responses/responses.py b/src/llama_stack_client/resources/responses/responses.py index e0109583..e20d567c 100644 --- a/src/llama_stack_client/resources/responses/responses.py +++ b/src/llama_stack_client/resources/responses/responses.py @@ -77,6 +77,7 @@ def create( include: SequenceNotStr[str] | Omit = omit, instructions: str | Omit = omit, max_infer_iters: int | Omit = omit, + max_tool_calls: int | Omit = omit, previous_response_id: str | Omit = omit, prompt: response_create_params.Prompt | Omit = omit, store: bool | Omit = omit, @@ -105,6 +106,9 @@ def create( include: (Optional) Additional fields to include in the response. + max_tool_calls: (Optional) Max number of total calls to built-in tools that can be processed in + a response. + previous_response_id: (Optional) if specified, the new response will be a continuation of the previous response. This can be used to easily fork-off new responses from existing responses. @@ -134,6 +138,7 @@ def create( include: SequenceNotStr[str] | Omit = omit, instructions: str | Omit = omit, max_infer_iters: int | Omit = omit, + max_tool_calls: int | Omit = omit, previous_response_id: str | Omit = omit, prompt: response_create_params.Prompt | Omit = omit, store: bool | Omit = omit, @@ -161,6 +166,9 @@ def create( include: (Optional) Additional fields to include in the response. + max_tool_calls: (Optional) Max number of total calls to built-in tools that can be processed in + a response. + previous_response_id: (Optional) if specified, the new response will be a continuation of the previous response. This can be used to easily fork-off new responses from existing responses. @@ -190,6 +198,7 @@ def create( include: SequenceNotStr[str] | Omit = omit, instructions: str | Omit = omit, max_infer_iters: int | Omit = omit, + max_tool_calls: int | Omit = omit, previous_response_id: str | Omit = omit, prompt: response_create_params.Prompt | Omit = omit, store: bool | Omit = omit, @@ -217,6 +226,9 @@ def create( include: (Optional) Additional fields to include in the response. + max_tool_calls: (Optional) Max number of total calls to built-in tools that can be processed in + a response. + previous_response_id: (Optional) if specified, the new response will be a continuation of the previous response. This can be used to easily fork-off new responses from existing responses. @@ -245,6 +257,7 @@ def create( include: SequenceNotStr[str] | Omit = omit, instructions: str | Omit = omit, max_infer_iters: int | Omit = omit, + max_tool_calls: int | Omit = omit, previous_response_id: str | Omit = omit, prompt: response_create_params.Prompt | Omit = omit, store: bool | Omit = omit, @@ -269,6 +282,7 @@ def create( "include": include, "instructions": instructions, "max_infer_iters": max_infer_iters, + "max_tool_calls": max_tool_calls, "previous_response_id": previous_response_id, "prompt": prompt, "store": store, @@ -445,6 +459,7 @@ async def create( include: SequenceNotStr[str] | Omit = omit, instructions: str | Omit = omit, max_infer_iters: int | Omit = omit, + max_tool_calls: int | Omit = omit, previous_response_id: str | Omit = omit, prompt: response_create_params.Prompt | Omit = omit, store: bool | Omit = omit, @@ -473,6 +488,9 @@ async def create( include: (Optional) Additional fields to include in the response. + max_tool_calls: (Optional) Max number of total calls to built-in tools that can be processed in + a response. + previous_response_id: (Optional) if specified, the new response will be a continuation of the previous response. This can be used to easily fork-off new responses from existing responses. @@ -502,6 +520,7 @@ async def create( include: SequenceNotStr[str] | Omit = omit, instructions: str | Omit = omit, max_infer_iters: int | Omit = omit, + max_tool_calls: int | Omit = omit, previous_response_id: str | Omit = omit, prompt: response_create_params.Prompt | Omit = omit, store: bool | Omit = omit, @@ -529,6 +548,9 @@ async def create( include: (Optional) Additional fields to include in the response. + max_tool_calls: (Optional) Max number of total calls to built-in tools that can be processed in + a response. + previous_response_id: (Optional) if specified, the new response will be a continuation of the previous response. This can be used to easily fork-off new responses from existing responses. @@ -558,6 +580,7 @@ async def create( include: SequenceNotStr[str] | Omit = omit, instructions: str | Omit = omit, max_infer_iters: int | Omit = omit, + max_tool_calls: int | Omit = omit, previous_response_id: str | Omit = omit, prompt: response_create_params.Prompt | Omit = omit, store: bool | Omit = omit, @@ -585,6 +608,9 @@ async def create( include: (Optional) Additional fields to include in the response. + max_tool_calls: (Optional) Max number of total calls to built-in tools that can be processed in + a response. + previous_response_id: (Optional) if specified, the new response will be a continuation of the previous response. This can be used to easily fork-off new responses from existing responses. @@ -613,6 +639,7 @@ async def create( include: SequenceNotStr[str] | Omit = omit, instructions: str | Omit = omit, max_infer_iters: int | Omit = omit, + max_tool_calls: int | Omit = omit, previous_response_id: str | Omit = omit, prompt: response_create_params.Prompt | Omit = omit, store: bool | Omit = omit, @@ -637,6 +664,7 @@ async def create( "include": include, "instructions": instructions, "max_infer_iters": max_infer_iters, + "max_tool_calls": max_tool_calls, "previous_response_id": previous_response_id, "prompt": prompt, "store": store, diff --git a/src/llama_stack_client/resources/routes.py b/src/llama_stack_client/resources/routes.py index ff9b2c59..3f1927fe 100644 --- a/src/llama_stack_client/resources/routes.py +++ b/src/llama_stack_client/resources/routes.py @@ -71,7 +71,7 @@ def list( api_filter: Optional filter to control which routes are returned. Can be an API level ('v1', 'v1alpha', 'v1beta') to show non-deprecated routes at that level, or 'deprecated' to show deprecated routes across all levels. If not specified, - returns only non-deprecated v1 routes. + returns all non-deprecated routes. extra_headers: Send extra headers @@ -135,7 +135,7 @@ async def list( api_filter: Optional filter to control which routes are returned. Can be an API level ('v1', 'v1alpha', 'v1beta') to show non-deprecated routes at that level, or 'deprecated' to show deprecated routes across all levels. If not specified, - returns only non-deprecated v1 routes. + returns all non-deprecated routes. extra_headers: Send extra headers diff --git a/src/llama_stack_client/resources/scoring_functions.py b/src/llama_stack_client/resources/scoring_functions.py index c172c8b2..916cb852 100644 --- a/src/llama_stack_client/resources/scoring_functions.py +++ b/src/llama_stack_client/resources/scoring_functions.py @@ -12,9 +12,7 @@ import httpx -from ..types import scoring_function_register_params -from .._types import Body, Omit, Query, Headers, NoneType, NotGiven, omit, not_given -from .._utils import maybe_transform, async_maybe_transform +from .._types import Body, Query, Headers, NotGiven, not_given from .._compat import cached_property from .._resource import SyncAPIResource, AsyncAPIResource from .._response import ( @@ -26,7 +24,6 @@ from .._wrappers import DataWrapper from .._base_client import make_request_options from ..types.scoring_fn import ScoringFn -from ..types.scoring_fn_params_param import ScoringFnParamsParam from ..types.scoring_function_list_response import ScoringFunctionListResponse __all__ = ["ScoringFunctionsResource", "AsyncScoringFunctionsResource"] @@ -108,65 +105,6 @@ def list( cast_to=cast(Type[ScoringFunctionListResponse], DataWrapper[ScoringFunctionListResponse]), ) - def register( - self, - *, - description: str, - return_type: scoring_function_register_params.ReturnType, - scoring_fn_id: str, - params: ScoringFnParamsParam | Omit = omit, - provider_id: str | Omit = omit, - provider_scoring_fn_id: str | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Register a scoring function. - - Args: - description: The description of the scoring function. - - scoring_fn_id: The ID of the scoring function to register. - - params: The parameters for the scoring function for benchmark eval, these can be - overridden for app eval. - - provider_id: The ID of the provider to use for the scoring function. - - provider_scoring_fn_id: The ID of the provider scoring function to use for the scoring function. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return self._post( - "/v1/scoring-functions", - body=maybe_transform( - { - "description": description, - "return_type": return_type, - "scoring_fn_id": scoring_fn_id, - "params": params, - "provider_id": provider_id, - "provider_scoring_fn_id": provider_scoring_fn_id, - }, - scoring_function_register_params.ScoringFunctionRegisterParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - class AsyncScoringFunctionsResource(AsyncAPIResource): @cached_property @@ -244,65 +182,6 @@ async def list( cast_to=cast(Type[ScoringFunctionListResponse], DataWrapper[ScoringFunctionListResponse]), ) - async def register( - self, - *, - description: str, - return_type: scoring_function_register_params.ReturnType, - scoring_fn_id: str, - params: ScoringFnParamsParam | Omit = omit, - provider_id: str | Omit = omit, - provider_scoring_fn_id: str | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Register a scoring function. - - Args: - description: The description of the scoring function. - - scoring_fn_id: The ID of the scoring function to register. - - params: The parameters for the scoring function for benchmark eval, these can be - overridden for app eval. - - provider_id: The ID of the provider to use for the scoring function. - - provider_scoring_fn_id: The ID of the provider scoring function to use for the scoring function. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return await self._post( - "/v1/scoring-functions", - body=await async_maybe_transform( - { - "description": description, - "return_type": return_type, - "scoring_fn_id": scoring_fn_id, - "params": params, - "provider_id": provider_id, - "provider_scoring_fn_id": provider_scoring_fn_id, - }, - scoring_function_register_params.ScoringFunctionRegisterParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - class ScoringFunctionsResourceWithRawResponse: def __init__(self, scoring_functions: ScoringFunctionsResource) -> None: @@ -314,9 +193,6 @@ def __init__(self, scoring_functions: ScoringFunctionsResource) -> None: self.list = to_raw_response_wrapper( scoring_functions.list, ) - self.register = to_raw_response_wrapper( - scoring_functions.register, - ) class AsyncScoringFunctionsResourceWithRawResponse: @@ -329,9 +205,6 @@ def __init__(self, scoring_functions: AsyncScoringFunctionsResource) -> None: self.list = async_to_raw_response_wrapper( scoring_functions.list, ) - self.register = async_to_raw_response_wrapper( - scoring_functions.register, - ) class ScoringFunctionsResourceWithStreamingResponse: @@ -344,9 +217,6 @@ def __init__(self, scoring_functions: ScoringFunctionsResource) -> None: self.list = to_streamed_response_wrapper( scoring_functions.list, ) - self.register = to_streamed_response_wrapper( - scoring_functions.register, - ) class AsyncScoringFunctionsResourceWithStreamingResponse: @@ -359,6 +229,3 @@ def __init__(self, scoring_functions: AsyncScoringFunctionsResource) -> None: self.list = async_to_streamed_response_wrapper( scoring_functions.list, ) - self.register = async_to_streamed_response_wrapper( - scoring_functions.register, - ) diff --git a/src/llama_stack_client/resources/shields.py b/src/llama_stack_client/resources/shields.py index e9512c36..8186a67d 100644 --- a/src/llama_stack_client/resources/shields.py +++ b/src/llama_stack_client/resources/shields.py @@ -8,13 +8,11 @@ from __future__ import annotations -from typing import Dict, Type, Union, Iterable, cast +from typing import Type, cast import httpx -from ..types import shield_register_params -from .._types import Body, Omit, Query, Headers, NoneType, NotGiven, omit, not_given -from .._utils import maybe_transform, async_maybe_transform +from .._types import Body, Query, Headers, NotGiven, not_given from .._compat import cached_property from .._resource import SyncAPIResource, AsyncAPIResource from .._response import ( @@ -107,91 +105,6 @@ def list( cast_to=cast(Type[ShieldListResponse], DataWrapper[ShieldListResponse]), ) - def delete( - self, - identifier: str, - *, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Unregister a shield. - - Args: - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not identifier: - raise ValueError(f"Expected a non-empty value for `identifier` but received {identifier!r}") - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return self._delete( - f"/v1/shields/{identifier}", - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - - def register( - self, - *, - shield_id: str, - params: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, - provider_id: str | Omit = omit, - provider_shield_id: str | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> Shield: - """ - Register a shield. - - Args: - shield_id: The identifier of the shield to register. - - params: The parameters of the shield. - - provider_id: The identifier of the provider. - - provider_shield_id: The identifier of the shield in the provider. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - return self._post( - "/v1/shields", - body=maybe_transform( - { - "shield_id": shield_id, - "params": params, - "provider_id": provider_id, - "provider_shield_id": provider_shield_id, - }, - shield_register_params.ShieldRegisterParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=Shield, - ) - class AsyncShieldsResource(AsyncAPIResource): @cached_property @@ -269,91 +182,6 @@ async def list( cast_to=cast(Type[ShieldListResponse], DataWrapper[ShieldListResponse]), ) - async def delete( - self, - identifier: str, - *, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Unregister a shield. - - Args: - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not identifier: - raise ValueError(f"Expected a non-empty value for `identifier` but received {identifier!r}") - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return await self._delete( - f"/v1/shields/{identifier}", - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - - async def register( - self, - *, - shield_id: str, - params: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, - provider_id: str | Omit = omit, - provider_shield_id: str | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> Shield: - """ - Register a shield. - - Args: - shield_id: The identifier of the shield to register. - - params: The parameters of the shield. - - provider_id: The identifier of the provider. - - provider_shield_id: The identifier of the shield in the provider. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - return await self._post( - "/v1/shields", - body=await async_maybe_transform( - { - "shield_id": shield_id, - "params": params, - "provider_id": provider_id, - "provider_shield_id": provider_shield_id, - }, - shield_register_params.ShieldRegisterParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=Shield, - ) - class ShieldsResourceWithRawResponse: def __init__(self, shields: ShieldsResource) -> None: @@ -365,12 +193,6 @@ def __init__(self, shields: ShieldsResource) -> None: self.list = to_raw_response_wrapper( shields.list, ) - self.delete = to_raw_response_wrapper( - shields.delete, - ) - self.register = to_raw_response_wrapper( - shields.register, - ) class AsyncShieldsResourceWithRawResponse: @@ -383,12 +205,6 @@ def __init__(self, shields: AsyncShieldsResource) -> None: self.list = async_to_raw_response_wrapper( shields.list, ) - self.delete = async_to_raw_response_wrapper( - shields.delete, - ) - self.register = async_to_raw_response_wrapper( - shields.register, - ) class ShieldsResourceWithStreamingResponse: @@ -401,12 +217,6 @@ def __init__(self, shields: ShieldsResource) -> None: self.list = to_streamed_response_wrapper( shields.list, ) - self.delete = to_streamed_response_wrapper( - shields.delete, - ) - self.register = to_streamed_response_wrapper( - shields.register, - ) class AsyncShieldsResourceWithStreamingResponse: @@ -419,9 +229,3 @@ def __init__(self, shields: AsyncShieldsResource) -> None: self.list = async_to_streamed_response_wrapper( shields.list, ) - self.delete = async_to_streamed_response_wrapper( - shields.delete, - ) - self.register = async_to_streamed_response_wrapper( - shields.register, - ) diff --git a/src/llama_stack_client/resources/tool_runtime/__init__.py b/src/llama_stack_client/resources/tool_runtime/__init__.py index 6c4f54ac..f1af9e74 100644 --- a/src/llama_stack_client/resources/tool_runtime/__init__.py +++ b/src/llama_stack_client/resources/tool_runtime/__init__.py @@ -6,14 +6,6 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. -from .rag_tool import ( - RagToolResource, - AsyncRagToolResource, - RagToolResourceWithRawResponse, - AsyncRagToolResourceWithRawResponse, - RagToolResourceWithStreamingResponse, - AsyncRagToolResourceWithStreamingResponse, -) from .tool_runtime import ( ToolRuntimeResource, AsyncToolRuntimeResource, @@ -24,12 +16,6 @@ ) __all__ = [ - "RagToolResource", - "AsyncRagToolResource", - "RagToolResourceWithRawResponse", - "AsyncRagToolResourceWithRawResponse", - "RagToolResourceWithStreamingResponse", - "AsyncRagToolResourceWithStreamingResponse", "ToolRuntimeResource", "AsyncToolRuntimeResource", "ToolRuntimeResourceWithRawResponse", diff --git a/src/llama_stack_client/resources/tool_runtime/rag_tool.py b/src/llama_stack_client/resources/tool_runtime/rag_tool.py deleted file mode 100644 index 7db478f7..00000000 --- a/src/llama_stack_client/resources/tool_runtime/rag_tool.py +++ /dev/null @@ -1,312 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing import Iterable - -import httpx - -from ..._types import Body, Omit, Query, Headers, NoneType, NotGiven, SequenceNotStr, omit, not_given -from ..._utils import maybe_transform, async_maybe_transform -from ..._compat import cached_property -from ..._resource import SyncAPIResource, AsyncAPIResource -from ..._response import ( - to_raw_response_wrapper, - to_streamed_response_wrapper, - async_to_raw_response_wrapper, - async_to_streamed_response_wrapper, -) -from ..._base_client import make_request_options -from ...types.tool_runtime import rag_tool_query_params, rag_tool_insert_params -from ...types.shared.query_result import QueryResult -from ...types.shared_params.document import Document -from ...types.shared_params.query_config import QueryConfig -from ...types.shared_params.interleaved_content import InterleavedContent - -__all__ = ["RagToolResource", "AsyncRagToolResource"] - - -class RagToolResource(SyncAPIResource): - @cached_property - def with_raw_response(self) -> RagToolResourceWithRawResponse: - """ - This property can be used as a prefix for any HTTP method call to return - the raw response object instead of the parsed content. - - For more information, see https://www.github.com/llamastack/llama-stack-client-python#accessing-raw-response-data-eg-headers - """ - return RagToolResourceWithRawResponse(self) - - @cached_property - def with_streaming_response(self) -> RagToolResourceWithStreamingResponse: - """ - An alternative to `.with_raw_response` that doesn't eagerly read the response body. - - For more information, see https://www.github.com/llamastack/llama-stack-client-python#with_streaming_response - """ - return RagToolResourceWithStreamingResponse(self) - - def insert( - self, - *, - chunk_size_in_tokens: int, - documents: Iterable[Document], - vector_store_id: str, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Index documents so they can be used by the RAG system. - - Args: - chunk_size_in_tokens: (Optional) Size in tokens for document chunking during indexing - - documents: List of documents to index in the RAG system - - vector_store_id: ID of the vector database to store the document embeddings - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return self._post( - "/v1/tool-runtime/rag-tool/insert", - body=maybe_transform( - { - "chunk_size_in_tokens": chunk_size_in_tokens, - "documents": documents, - "vector_store_id": vector_store_id, - }, - rag_tool_insert_params.RagToolInsertParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - - def query( - self, - *, - content: InterleavedContent, - vector_store_ids: SequenceNotStr[str], - query_config: QueryConfig | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> QueryResult: - """ - Query the RAG system for context; typically invoked by the agent. - - Args: - content: The query content to search for in the indexed documents - - vector_store_ids: List of vector database IDs to search within - - query_config: (Optional) Configuration parameters for the query operation - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - return self._post( - "/v1/tool-runtime/rag-tool/query", - body=maybe_transform( - { - "content": content, - "vector_store_ids": vector_store_ids, - "query_config": query_config, - }, - rag_tool_query_params.RagToolQueryParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=QueryResult, - ) - - -class AsyncRagToolResource(AsyncAPIResource): - @cached_property - def with_raw_response(self) -> AsyncRagToolResourceWithRawResponse: - """ - This property can be used as a prefix for any HTTP method call to return - the raw response object instead of the parsed content. - - For more information, see https://www.github.com/llamastack/llama-stack-client-python#accessing-raw-response-data-eg-headers - """ - return AsyncRagToolResourceWithRawResponse(self) - - @cached_property - def with_streaming_response(self) -> AsyncRagToolResourceWithStreamingResponse: - """ - An alternative to `.with_raw_response` that doesn't eagerly read the response body. - - For more information, see https://www.github.com/llamastack/llama-stack-client-python#with_streaming_response - """ - return AsyncRagToolResourceWithStreamingResponse(self) - - async def insert( - self, - *, - chunk_size_in_tokens: int, - documents: Iterable[Document], - vector_store_id: str, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Index documents so they can be used by the RAG system. - - Args: - chunk_size_in_tokens: (Optional) Size in tokens for document chunking during indexing - - documents: List of documents to index in the RAG system - - vector_store_id: ID of the vector database to store the document embeddings - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return await self._post( - "/v1/tool-runtime/rag-tool/insert", - body=await async_maybe_transform( - { - "chunk_size_in_tokens": chunk_size_in_tokens, - "documents": documents, - "vector_store_id": vector_store_id, - }, - rag_tool_insert_params.RagToolInsertParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - - async def query( - self, - *, - content: InterleavedContent, - vector_store_ids: SequenceNotStr[str], - query_config: QueryConfig | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> QueryResult: - """ - Query the RAG system for context; typically invoked by the agent. - - Args: - content: The query content to search for in the indexed documents - - vector_store_ids: List of vector database IDs to search within - - query_config: (Optional) Configuration parameters for the query operation - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - return await self._post( - "/v1/tool-runtime/rag-tool/query", - body=await async_maybe_transform( - { - "content": content, - "vector_store_ids": vector_store_ids, - "query_config": query_config, - }, - rag_tool_query_params.RagToolQueryParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=QueryResult, - ) - - -class RagToolResourceWithRawResponse: - def __init__(self, rag_tool: RagToolResource) -> None: - self._rag_tool = rag_tool - - self.insert = to_raw_response_wrapper( - rag_tool.insert, - ) - self.query = to_raw_response_wrapper( - rag_tool.query, - ) - - -class AsyncRagToolResourceWithRawResponse: - def __init__(self, rag_tool: AsyncRagToolResource) -> None: - self._rag_tool = rag_tool - - self.insert = async_to_raw_response_wrapper( - rag_tool.insert, - ) - self.query = async_to_raw_response_wrapper( - rag_tool.query, - ) - - -class RagToolResourceWithStreamingResponse: - def __init__(self, rag_tool: RagToolResource) -> None: - self._rag_tool = rag_tool - - self.insert = to_streamed_response_wrapper( - rag_tool.insert, - ) - self.query = to_streamed_response_wrapper( - rag_tool.query, - ) - - -class AsyncRagToolResourceWithStreamingResponse: - def __init__(self, rag_tool: AsyncRagToolResource) -> None: - self._rag_tool = rag_tool - - self.insert = async_to_streamed_response_wrapper( - rag_tool.insert, - ) - self.query = async_to_streamed_response_wrapper( - rag_tool.query, - ) diff --git a/src/llama_stack_client/resources/tool_runtime/tool_runtime.py b/src/llama_stack_client/resources/tool_runtime/tool_runtime.py index a586ef79..b4cc863b 100644 --- a/src/llama_stack_client/resources/tool_runtime/tool_runtime.py +++ b/src/llama_stack_client/resources/tool_runtime/tool_runtime.py @@ -15,14 +15,6 @@ from ...types import tool_runtime_list_tools_params, tool_runtime_invoke_tool_params from ..._types import Body, Omit, Query, Headers, NotGiven, omit, not_given from ..._utils import maybe_transform, async_maybe_transform -from .rag_tool import ( - RagToolResource, - AsyncRagToolResource, - RagToolResourceWithRawResponse, - AsyncRagToolResourceWithRawResponse, - RagToolResourceWithStreamingResponse, - AsyncRagToolResourceWithStreamingResponse, -) from ..._compat import cached_property from ..._resource import SyncAPIResource, AsyncAPIResource from ..._response import ( @@ -40,10 +32,6 @@ class ToolRuntimeResource(SyncAPIResource): - @cached_property - def rag_tool(self) -> RagToolResource: - return RagToolResource(self._client) - @cached_property def with_raw_response(self) -> ToolRuntimeResourceWithRawResponse: """ @@ -155,10 +143,6 @@ def list_tools( class AsyncToolRuntimeResource(AsyncAPIResource): - @cached_property - def rag_tool(self) -> AsyncRagToolResource: - return AsyncRagToolResource(self._client) - @cached_property def with_raw_response(self) -> AsyncToolRuntimeResourceWithRawResponse: """ @@ -280,10 +264,6 @@ def __init__(self, tool_runtime: ToolRuntimeResource) -> None: tool_runtime.list_tools, ) - @cached_property - def rag_tool(self) -> RagToolResourceWithRawResponse: - return RagToolResourceWithRawResponse(self._tool_runtime.rag_tool) - class AsyncToolRuntimeResourceWithRawResponse: def __init__(self, tool_runtime: AsyncToolRuntimeResource) -> None: @@ -296,10 +276,6 @@ def __init__(self, tool_runtime: AsyncToolRuntimeResource) -> None: tool_runtime.list_tools, ) - @cached_property - def rag_tool(self) -> AsyncRagToolResourceWithRawResponse: - return AsyncRagToolResourceWithRawResponse(self._tool_runtime.rag_tool) - class ToolRuntimeResourceWithStreamingResponse: def __init__(self, tool_runtime: ToolRuntimeResource) -> None: @@ -312,10 +288,6 @@ def __init__(self, tool_runtime: ToolRuntimeResource) -> None: tool_runtime.list_tools, ) - @cached_property - def rag_tool(self) -> RagToolResourceWithStreamingResponse: - return RagToolResourceWithStreamingResponse(self._tool_runtime.rag_tool) - class AsyncToolRuntimeResourceWithStreamingResponse: def __init__(self, tool_runtime: AsyncToolRuntimeResource) -> None: @@ -327,7 +299,3 @@ def __init__(self, tool_runtime: AsyncToolRuntimeResource) -> None: self.list_tools = async_to_streamed_response_wrapper( tool_runtime.list_tools, ) - - @cached_property - def rag_tool(self) -> AsyncRagToolResourceWithStreamingResponse: - return AsyncRagToolResourceWithStreamingResponse(self._tool_runtime.rag_tool) diff --git a/src/llama_stack_client/resources/toolgroups.py b/src/llama_stack_client/resources/toolgroups.py index 8839ee93..25f14a37 100644 --- a/src/llama_stack_client/resources/toolgroups.py +++ b/src/llama_stack_client/resources/toolgroups.py @@ -8,13 +8,11 @@ from __future__ import annotations -from typing import Dict, Type, Union, Iterable, cast +from typing import Type, cast import httpx -from ..types import toolgroup_register_params -from .._types import Body, Omit, Query, Headers, NoneType, NotGiven, omit, not_given -from .._utils import maybe_transform, async_maybe_transform +from .._types import Body, Query, Headers, NotGiven, not_given from .._compat import cached_property from .._resource import SyncAPIResource, AsyncAPIResource from .._response import ( @@ -107,92 +105,6 @@ def get( cast_to=ToolGroup, ) - def register( - self, - *, - provider_id: str, - toolgroup_id: str, - args: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, - mcp_endpoint: toolgroup_register_params.McpEndpoint | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Register a tool group. - - Args: - provider_id: The ID of the provider to use for the tool group. - - toolgroup_id: The ID of the tool group to register. - - args: A dictionary of arguments to pass to the tool group. - - mcp_endpoint: The MCP endpoint to use for the tool group. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return self._post( - "/v1/toolgroups", - body=maybe_transform( - { - "provider_id": provider_id, - "toolgroup_id": toolgroup_id, - "args": args, - "mcp_endpoint": mcp_endpoint, - }, - toolgroup_register_params.ToolgroupRegisterParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - - def unregister( - self, - toolgroup_id: str, - *, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Unregister a tool group. - - Args: - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not toolgroup_id: - raise ValueError(f"Expected a non-empty value for `toolgroup_id` but received {toolgroup_id!r}") - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return self._delete( - f"/v1/toolgroups/{toolgroup_id}", - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - class AsyncToolgroupsResource(AsyncAPIResource): @cached_property @@ -270,92 +182,6 @@ async def get( cast_to=ToolGroup, ) - async def register( - self, - *, - provider_id: str, - toolgroup_id: str, - args: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, - mcp_endpoint: toolgroup_register_params.McpEndpoint | Omit = omit, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Register a tool group. - - Args: - provider_id: The ID of the provider to use for the tool group. - - toolgroup_id: The ID of the tool group to register. - - args: A dictionary of arguments to pass to the tool group. - - mcp_endpoint: The MCP endpoint to use for the tool group. - - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return await self._post( - "/v1/toolgroups", - body=await async_maybe_transform( - { - "provider_id": provider_id, - "toolgroup_id": toolgroup_id, - "args": args, - "mcp_endpoint": mcp_endpoint, - }, - toolgroup_register_params.ToolgroupRegisterParams, - ), - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - - async def unregister( - self, - toolgroup_id: str, - *, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = not_given, - ) -> None: - """ - Unregister a tool group. - - Args: - extra_headers: Send extra headers - - extra_query: Add additional query parameters to the request - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not toolgroup_id: - raise ValueError(f"Expected a non-empty value for `toolgroup_id` but received {toolgroup_id!r}") - extra_headers = {"Accept": "*/*", **(extra_headers or {})} - return await self._delete( - f"/v1/toolgroups/{toolgroup_id}", - options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout - ), - cast_to=NoneType, - ) - class ToolgroupsResourceWithRawResponse: def __init__(self, toolgroups: ToolgroupsResource) -> None: @@ -367,12 +193,6 @@ def __init__(self, toolgroups: ToolgroupsResource) -> None: self.get = to_raw_response_wrapper( toolgroups.get, ) - self.register = to_raw_response_wrapper( - toolgroups.register, - ) - self.unregister = to_raw_response_wrapper( - toolgroups.unregister, - ) class AsyncToolgroupsResourceWithRawResponse: @@ -385,12 +205,6 @@ def __init__(self, toolgroups: AsyncToolgroupsResource) -> None: self.get = async_to_raw_response_wrapper( toolgroups.get, ) - self.register = async_to_raw_response_wrapper( - toolgroups.register, - ) - self.unregister = async_to_raw_response_wrapper( - toolgroups.unregister, - ) class ToolgroupsResourceWithStreamingResponse: @@ -403,12 +217,6 @@ def __init__(self, toolgroups: ToolgroupsResource) -> None: self.get = to_streamed_response_wrapper( toolgroups.get, ) - self.register = to_streamed_response_wrapper( - toolgroups.register, - ) - self.unregister = to_streamed_response_wrapper( - toolgroups.unregister, - ) class AsyncToolgroupsResourceWithStreamingResponse: @@ -421,9 +229,3 @@ def __init__(self, toolgroups: AsyncToolgroupsResource) -> None: self.get = async_to_streamed_response_wrapper( toolgroups.get, ) - self.register = async_to_streamed_response_wrapper( - toolgroups.register, - ) - self.unregister = async_to_streamed_response_wrapper( - toolgroups.unregister, - ) diff --git a/src/llama_stack_client/resources/vector_stores/files.py b/src/llama_stack_client/resources/vector_stores/files.py index 365a87e6..d5d16e2c 100644 --- a/src/llama_stack_client/resources/vector_stores/files.py +++ b/src/llama_stack_client/resources/vector_stores/files.py @@ -25,7 +25,7 @@ ) from ...pagination import SyncOpenAICursorPage, AsyncOpenAICursorPage from ..._base_client import AsyncPaginator, make_request_options -from ...types.vector_stores import file_list_params, file_create_params, file_update_params +from ...types.vector_stores import file_list_params, file_create_params, file_update_params, file_content_params from ...types.vector_stores.vector_store_file import VectorStoreFile from ...types.vector_stores.file_delete_response import FileDeleteResponse from ...types.vector_stores.file_content_response import FileContentResponse @@ -286,6 +286,8 @@ def content( file_id: str, *, vector_store_id: str, + include_embeddings: bool | Omit = omit, + include_metadata: bool | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -297,6 +299,10 @@ def content( Retrieves the contents of a vector store file. Args: + include_embeddings: Whether to include embedding vectors in the response. + + include_metadata: Whether to include chunk metadata in the response. + extra_headers: Send extra headers extra_query: Add additional query parameters to the request @@ -312,7 +318,17 @@ def content( return self._get( f"/v1/vector_stores/{vector_store_id}/files/{file_id}/content", options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + query=maybe_transform( + { + "include_embeddings": include_embeddings, + "include_metadata": include_metadata, + }, + file_content_params.FileContentParams, + ), ), cast_to=FileContentResponse, ) @@ -571,6 +587,8 @@ async def content( file_id: str, *, vector_store_id: str, + include_embeddings: bool | Omit = omit, + include_metadata: bool | Omit = omit, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -582,6 +600,10 @@ async def content( Retrieves the contents of a vector store file. Args: + include_embeddings: Whether to include embedding vectors in the response. + + include_metadata: Whether to include chunk metadata in the response. + extra_headers: Send extra headers extra_query: Add additional query parameters to the request @@ -597,7 +619,17 @@ async def content( return await self._get( f"/v1/vector_stores/{vector_store_id}/files/{file_id}/content", options=make_request_options( - extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + query=await async_maybe_transform( + { + "include_embeddings": include_embeddings, + "include_metadata": include_metadata, + }, + file_content_params.FileContentParams, + ), ), cast_to=FileContentResponse, ) diff --git a/src/llama_stack_client/resources/vector_stores/vector_stores.py b/src/llama_stack_client/resources/vector_stores/vector_stores.py index 2462972f..f324ccd0 100644 --- a/src/llama_stack_client/resources/vector_stores/vector_stores.py +++ b/src/llama_stack_client/resources/vector_stores/vector_stores.py @@ -84,7 +84,7 @@ def with_streaming_response(self) -> VectorStoresResourceWithStreamingResponse: def create( self, *, - chunking_strategy: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, + chunking_strategy: vector_store_create_params.ChunkingStrategy | Omit = omit, expires_after: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, file_ids: SequenceNotStr[str] | Omit = omit, metadata: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, @@ -410,7 +410,7 @@ def with_streaming_response(self) -> AsyncVectorStoresResourceWithStreamingRespo async def create( self, *, - chunking_strategy: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, + chunking_strategy: vector_store_create_params.ChunkingStrategy | Omit = omit, expires_after: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, file_ids: SequenceNotStr[str] | Omit = omit, metadata: Dict[str, Union[bool, float, str, Iterable[object], object, None]] | Omit = omit, diff --git a/src/llama_stack_client/types/__init__.py b/src/llama_stack_client/types/__init__.py index 665bb2f4..678401ed 100644 --- a/src/llama_stack_client/types/__init__.py +++ b/src/llama_stack_client/types/__init__.py @@ -12,10 +12,6 @@ from .model import Model as Model from .prompt import Prompt as Prompt from .shared import ( - Document as Document, - ParamType as ParamType, - QueryConfig as QueryConfig, - QueryResult as QueryResult, ScoringResult as ScoringResult, SystemMessage as SystemMessage, SamplingParams as SamplingParams, @@ -57,7 +53,6 @@ from .chat_completion_chunk import ChatCompletionChunk as ChatCompletionChunk from .list_prompts_response import ListPromptsResponse as ListPromptsResponse from .list_shields_response import ListShieldsResponse as ListShieldsResponse -from .model_register_params import ModelRegisterParams as ModelRegisterParams from .query_chunks_response import QueryChunksResponse as QueryChunksResponse from .prompt_retrieve_params import PromptRetrieveParams as PromptRetrieveParams from .provider_list_response import ProviderListResponse as ProviderListResponse @@ -65,12 +60,10 @@ from .response_list_response import ResponseListResponse as ResponseListResponse from .response_object_stream import ResponseObjectStream as ResponseObjectStream from .scoring_score_response import ScoringScoreResponse as ScoringScoreResponse -from .shield_register_params import ShieldRegisterParams as ShieldRegisterParams from .tool_invocation_result import ToolInvocationResult as ToolInvocationResult from .vector_io_query_params import VectorIoQueryParams as VectorIoQueryParams from .embedding_create_params import EmbeddingCreateParams as EmbeddingCreateParams from .list_providers_response import ListProvidersResponse as ListProvidersResponse -from .model_register_response import ModelRegisterResponse as ModelRegisterResponse from .model_retrieve_response import ModelRetrieveResponse as ModelRetrieveResponse from .scoring_fn_params_param import ScoringFnParamsParam as ScoringFnParamsParam from .toolgroup_list_response import ToolgroupListResponse as ToolgroupListResponse @@ -81,7 +74,6 @@ from .safety_run_shield_params import SafetyRunShieldParams as SafetyRunShieldParams from .vector_store_list_params import VectorStoreListParams as VectorStoreListParams from .list_tool_groups_response import ListToolGroupsResponse as ListToolGroupsResponse -from .toolgroup_register_params import ToolgroupRegisterParams as ToolgroupRegisterParams from .completion_create_response import CompletionCreateResponse as CompletionCreateResponse from .conversation_create_params import ConversationCreateParams as ConversationCreateParams from .conversation_update_params import ConversationUpdateParams as ConversationUpdateParams @@ -99,6 +91,5 @@ from .tool_runtime_list_tools_params import ToolRuntimeListToolsParams as ToolRuntimeListToolsParams from .list_scoring_functions_response import ListScoringFunctionsResponse as ListScoringFunctionsResponse from .tool_runtime_invoke_tool_params import ToolRuntimeInvokeToolParams as ToolRuntimeInvokeToolParams -from .scoring_function_register_params import ScoringFunctionRegisterParams as ScoringFunctionRegisterParams from .tool_runtime_list_tools_response import ToolRuntimeListToolsResponse as ToolRuntimeListToolsResponse from .prompt_set_default_version_params import PromptSetDefaultVersionParams as PromptSetDefaultVersionParams diff --git a/src/llama_stack_client/types/model_register_params.py b/src/llama_stack_client/types/model_register_params.py deleted file mode 100644 index 7fdda65d..00000000 --- a/src/llama_stack_client/types/model_register_params.py +++ /dev/null @@ -1,31 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing import Dict, Union, Iterable -from typing_extensions import Literal, Required, TypedDict - -__all__ = ["ModelRegisterParams"] - - -class ModelRegisterParams(TypedDict, total=False): - model_id: Required[str] - """The identifier of the model to register.""" - - metadata: Dict[str, Union[bool, float, str, Iterable[object], object, None]] - """Any additional metadata for this model.""" - - model_type: Literal["llm", "embedding", "rerank"] - """The type of model to register.""" - - provider_id: str - """The identifier of the provider.""" - - provider_model_id: str - """The identifier of the model in the provider.""" diff --git a/src/llama_stack_client/types/model_register_response.py b/src/llama_stack_client/types/model_register_response.py deleted file mode 100644 index 08b0e8d6..00000000 --- a/src/llama_stack_client/types/model_register_response.py +++ /dev/null @@ -1,30 +0,0 @@ -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing import Dict, List, Union, Optional -from typing_extensions import Literal - -from pydantic import Field as FieldInfo - -from .._models import BaseModel - -__all__ = ["ModelRegisterResponse"] - - -class ModelRegisterResponse(BaseModel): - identifier: str - """Unique identifier for this resource in llama stack""" - - metadata: Dict[str, Union[bool, float, str, List[object], object, None]] - """Any additional metadata for this model""" - - api_model_type: Literal["llm", "embedding", "rerank"] = FieldInfo(alias="model_type") - """The type of model (LLM or embedding model)""" - - provider_id: str - """ID of the provider that owns this resource""" - - type: Literal["model"] - """The resource type, always 'model' for model resources""" - - provider_resource_id: Optional[str] = None - """Unique identifier for this resource in the provider""" diff --git a/src/llama_stack_client/types/response_create_params.py b/src/llama_stack_client/types/response_create_params.py index f99cd037..d4d06276 100644 --- a/src/llama_stack_client/types/response_create_params.py +++ b/src/llama_stack_client/types/response_create_params.py @@ -82,6 +82,12 @@ class ResponseCreateParamsBase(TypedDict, total=False): max_infer_iters: int + max_tool_calls: int + """ + (Optional) Max number of total calls to built-in tools that can be processed in + a response. + """ + previous_response_id: str """ (Optional) if specified, the new response will be a continuation of the previous @@ -522,7 +528,9 @@ class Text(TypedDict, total=False): class ToolOpenAIResponseInputToolWebSearch(TypedDict, total=False): - type: Required[Literal["web_search", "web_search_preview", "web_search_preview_2025_03_11"]] + type: Required[ + Literal["web_search", "web_search_preview", "web_search_preview_2025_03_11", "web_search_2025_08_26"] + ] """Web search tool type variant to use""" search_context_size: str diff --git a/src/llama_stack_client/types/response_list_response.py b/src/llama_stack_client/types/response_list_response.py index ccd9a3d7..7ba4e1ed 100644 --- a/src/llama_stack_client/types/response_list_response.py +++ b/src/llama_stack_client/types/response_list_response.py @@ -813,7 +813,7 @@ class Prompt(BaseModel): class ToolOpenAIResponseInputToolWebSearch(BaseModel): - type: Literal["web_search", "web_search_preview", "web_search_preview_2025_03_11"] + type: Literal["web_search", "web_search_preview", "web_search_preview_2025_03_11", "web_search_2025_08_26"] """Web search tool type variant to use""" search_context_size: Optional[str] = None @@ -952,6 +952,12 @@ class ResponseListResponse(BaseModel): instructions: Optional[str] = None """(Optional) System message inserted into the model's context""" + max_tool_calls: Optional[int] = None + """ + (Optional) Max number of total calls to built-in tools that can be processed in + a response + """ + previous_response_id: Optional[str] = None """(Optional) ID of the previous response in a conversation""" diff --git a/src/llama_stack_client/types/response_object.py b/src/llama_stack_client/types/response_object.py index 706f50e2..8db0f035 100644 --- a/src/llama_stack_client/types/response_object.py +++ b/src/llama_stack_client/types/response_object.py @@ -464,7 +464,7 @@ class Prompt(BaseModel): class ToolOpenAIResponseInputToolWebSearch(BaseModel): - type: Literal["web_search", "web_search_preview", "web_search_preview_2025_03_11"] + type: Literal["web_search", "web_search_preview", "web_search_preview_2025_03_11", "web_search_2025_08_26"] """Web search tool type variant to use""" search_context_size: Optional[str] = None @@ -610,6 +610,12 @@ def output_text(self) -> str: instructions: Optional[str] = None """(Optional) System message inserted into the model's context""" + max_tool_calls: Optional[int] = None + """ + (Optional) Max number of total calls to built-in tools that can be processed in + a response + """ + previous_response_id: Optional[str] = None """(Optional) ID of the previous response in a conversation""" diff --git a/src/llama_stack_client/types/route_list_params.py b/src/llama_stack_client/types/route_list_params.py index 764b13c7..443b1d59 100644 --- a/src/llama_stack_client/types/route_list_params.py +++ b/src/llama_stack_client/types/route_list_params.py @@ -13,5 +13,5 @@ class RouteListParams(TypedDict, total=False): Can be an API level ('v1', 'v1alpha', 'v1beta') to show non-deprecated routes at that level, or 'deprecated' to show deprecated routes across all levels. If not - specified, returns only non-deprecated v1 routes. + specified, returns all non-deprecated routes. """ diff --git a/src/llama_stack_client/types/scoring_function_register_params.py b/src/llama_stack_client/types/scoring_function_register_params.py deleted file mode 100644 index c0a00c04..00000000 --- a/src/llama_stack_client/types/scoring_function_register_params.py +++ /dev/null @@ -1,54 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing_extensions import Literal, Required, TypedDict - -from .scoring_fn_params_param import ScoringFnParamsParam - -__all__ = ["ScoringFunctionRegisterParams", "ReturnType"] - - -class ScoringFunctionRegisterParams(TypedDict, total=False): - description: Required[str] - """The description of the scoring function.""" - - return_type: Required[ReturnType] - - scoring_fn_id: Required[str] - """The ID of the scoring function to register.""" - - params: ScoringFnParamsParam - """ - The parameters for the scoring function for benchmark eval, these can be - overridden for app eval. - """ - - provider_id: str - """The ID of the provider to use for the scoring function.""" - - provider_scoring_fn_id: str - """The ID of the provider scoring function to use for the scoring function.""" - - -class ReturnType(TypedDict, total=False): - type: Required[ - Literal[ - "string", - "number", - "boolean", - "array", - "object", - "json", - "union", - "chat_completion_input", - "completion_input", - "agent_turn_input", - ] - ] diff --git a/src/llama_stack_client/types/shared/__init__.py b/src/llama_stack_client/types/shared/__init__.py index 7a605e8e..19dffde4 100644 --- a/src/llama_stack_client/types/shared/__init__.py +++ b/src/llama_stack_client/types/shared/__init__.py @@ -6,10 +6,6 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. -from .document import Document as Document -from .param_type import ParamType as ParamType -from .query_config import QueryConfig as QueryConfig -from .query_result import QueryResult as QueryResult from .scoring_result import ScoringResult as ScoringResult from .system_message import SystemMessage as SystemMessage from .sampling_params import SamplingParams as SamplingParams diff --git a/src/llama_stack_client/types/shared/document.py b/src/llama_stack_client/types/shared/document.py deleted file mode 100644 index 574f0baa..00000000 --- a/src/llama_stack_client/types/shared/document.py +++ /dev/null @@ -1,79 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing import Dict, List, Union, Optional -from typing_extensions import Literal, TypeAlias - -from ..._models import BaseModel -from .interleaved_content_item import InterleavedContentItem - -__all__ = [ - "Document", - "Content", - "ContentImageContentItem", - "ContentImageContentItemImage", - "ContentImageContentItemImageURL", - "ContentTextContentItem", - "ContentURL", -] - - -class ContentImageContentItemImageURL(BaseModel): - uri: str - """The URL string pointing to the resource""" - - -class ContentImageContentItemImage(BaseModel): - data: Optional[str] = None - """base64 encoded image data as string""" - - url: Optional[ContentImageContentItemImageURL] = None - """A URL of the image or data URL in the format of data:image/{type};base64,{data}. - - Note that URL could have length limits. - """ - - -class ContentImageContentItem(BaseModel): - image: ContentImageContentItemImage - """Image as a base64 encoded string or an URL""" - - type: Literal["image"] - """Discriminator type of the content item. Always "image" """ - - -class ContentTextContentItem(BaseModel): - text: str - """Text content""" - - type: Literal["text"] - """Discriminator type of the content item. Always "text" """ - - -class ContentURL(BaseModel): - uri: str - """The URL string pointing to the resource""" - - -Content: TypeAlias = Union[ - str, ContentImageContentItem, ContentTextContentItem, List[InterleavedContentItem], ContentURL -] - - -class Document(BaseModel): - content: Content - """The content of the document.""" - - document_id: str - """The unique identifier for the document.""" - - metadata: Dict[str, Union[bool, float, str, List[object], object, None]] - """Additional metadata for the document.""" - - mime_type: Optional[str] = None - """The MIME type of the document.""" diff --git a/src/llama_stack_client/types/shared/param_type.py b/src/llama_stack_client/types/shared/param_type.py deleted file mode 100644 index 5dc621fa..00000000 --- a/src/llama_stack_client/types/shared/param_type.py +++ /dev/null @@ -1,87 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing import Union -from typing_extensions import Literal, Annotated, TypeAlias - -from ..._utils import PropertyInfo -from ..._models import BaseModel - -__all__ = [ - "ParamType", - "StringType", - "NumberType", - "BooleanType", - "ArrayType", - "ObjectType", - "JsonType", - "UnionType", - "ChatCompletionInputType", - "CompletionInputType", -] - - -class StringType(BaseModel): - type: Literal["string"] - """Discriminator type. Always "string" """ - - -class NumberType(BaseModel): - type: Literal["number"] - """Discriminator type. Always "number" """ - - -class BooleanType(BaseModel): - type: Literal["boolean"] - """Discriminator type. Always "boolean" """ - - -class ArrayType(BaseModel): - type: Literal["array"] - """Discriminator type. Always "array" """ - - -class ObjectType(BaseModel): - type: Literal["object"] - """Discriminator type. Always "object" """ - - -class JsonType(BaseModel): - type: Literal["json"] - """Discriminator type. Always "json" """ - - -class UnionType(BaseModel): - type: Literal["union"] - """Discriminator type. Always "union" """ - - -class ChatCompletionInputType(BaseModel): - type: Literal["chat_completion_input"] - """Discriminator type. Always "chat_completion_input" """ - - -class CompletionInputType(BaseModel): - type: Literal["completion_input"] - """Discriminator type. Always "completion_input" """ - - -ParamType: TypeAlias = Annotated[ - Union[ - StringType, - NumberType, - BooleanType, - ArrayType, - ObjectType, - JsonType, - UnionType, - ChatCompletionInputType, - CompletionInputType, - ], - PropertyInfo(discriminator="type"), -] diff --git a/src/llama_stack_client/types/shared/query_config.py b/src/llama_stack_client/types/shared/query_config.py deleted file mode 100644 index 867badbb..00000000 --- a/src/llama_stack_client/types/shared/query_config.py +++ /dev/null @@ -1,102 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing import Union, Optional -from typing_extensions import Literal, Annotated, TypeAlias - -from ..._utils import PropertyInfo -from ..._models import BaseModel - -__all__ = [ - "QueryConfig", - "QueryGeneratorConfig", - "QueryGeneratorConfigDefaultRagQueryGeneratorConfig", - "QueryGeneratorConfigLlmragQueryGeneratorConfig", - "Ranker", - "RankerRrfRanker", - "RankerWeightedRanker", -] - - -class QueryGeneratorConfigDefaultRagQueryGeneratorConfig(BaseModel): - separator: str - """String separator used to join query terms""" - - type: Literal["default"] - """Type of query generator, always 'default'""" - - -class QueryGeneratorConfigLlmragQueryGeneratorConfig(BaseModel): - model: str - """Name of the language model to use for query generation""" - - template: str - """Template string for formatting the query generation prompt""" - - type: Literal["llm"] - """Type of query generator, always 'llm'""" - - -QueryGeneratorConfig: TypeAlias = Annotated[ - Union[QueryGeneratorConfigDefaultRagQueryGeneratorConfig, QueryGeneratorConfigLlmragQueryGeneratorConfig], - PropertyInfo(discriminator="type"), -] - - -class RankerRrfRanker(BaseModel): - impact_factor: float - """The impact factor for RRF scoring. - - Higher values give more weight to higher-ranked results. Must be greater than 0 - """ - - type: Literal["rrf"] - """The type of ranker, always "rrf" """ - - -class RankerWeightedRanker(BaseModel): - alpha: float - """Weight factor between 0 and 1. - - 0 means only use keyword scores, 1 means only use vector scores, values in - between blend both scores. - """ - - type: Literal["weighted"] - """The type of ranker, always "weighted" """ - - -Ranker: TypeAlias = Annotated[Union[RankerRrfRanker, RankerWeightedRanker], PropertyInfo(discriminator="type")] - - -class QueryConfig(BaseModel): - chunk_template: str - """Template for formatting each retrieved chunk in the context. - - Available placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk - content string), {metadata} (chunk metadata dict). Default: "Result - {index}\nContent: {chunk.content}\nMetadata: {metadata}\n" - """ - - max_chunks: int - """Maximum number of chunks to retrieve.""" - - max_tokens_in_context: int - """Maximum number of tokens in the context.""" - - query_generator_config: QueryGeneratorConfig - """Configuration for the query generator.""" - - mode: Optional[Literal["vector", "keyword", "hybrid"]] = None - """Search mode for retrieval—either "vector", "keyword", or "hybrid". - - Default "vector". - """ - - ranker: Optional[Ranker] = None - """Configuration for the ranker to use in hybrid search. Defaults to RRF ranker.""" diff --git a/src/llama_stack_client/types/shared/query_result.py b/src/llama_stack_client/types/shared/query_result.py deleted file mode 100644 index c06afcfe..00000000 --- a/src/llama_stack_client/types/shared/query_result.py +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing import Dict, List, Union, Optional - -from ..._models import BaseModel -from .interleaved_content import InterleavedContent - -__all__ = ["QueryResult"] - - -class QueryResult(BaseModel): - metadata: Dict[str, Union[bool, float, str, List[object], object, None]] - """Additional metadata about the query result""" - - content: Optional[InterleavedContent] = None - """(Optional) The retrieved content from the query""" diff --git a/src/llama_stack_client/types/shared_params/__init__.py b/src/llama_stack_client/types/shared_params/__init__.py index 154cc9d4..97d63fb6 100644 --- a/src/llama_stack_client/types/shared_params/__init__.py +++ b/src/llama_stack_client/types/shared_params/__init__.py @@ -6,8 +6,6 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. -from .document import Document as Document -from .query_config import QueryConfig as QueryConfig from .system_message import SystemMessage as SystemMessage from .sampling_params import SamplingParams as SamplingParams from .interleaved_content import InterleavedContent as InterleavedContent diff --git a/src/llama_stack_client/types/shared_params/document.py b/src/llama_stack_client/types/shared_params/document.py deleted file mode 100644 index e73e0705..00000000 --- a/src/llama_stack_client/types/shared_params/document.py +++ /dev/null @@ -1,80 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing import Dict, Union, Iterable -from typing_extensions import Literal, Required, TypeAlias, TypedDict - -from .interleaved_content_item import InterleavedContentItem - -__all__ = [ - "Document", - "Content", - "ContentImageContentItem", - "ContentImageContentItemImage", - "ContentImageContentItemImageURL", - "ContentTextContentItem", - "ContentURL", -] - - -class ContentImageContentItemImageURL(TypedDict, total=False): - uri: Required[str] - """The URL string pointing to the resource""" - - -class ContentImageContentItemImage(TypedDict, total=False): - data: str - """base64 encoded image data as string""" - - url: ContentImageContentItemImageURL - """A URL of the image or data URL in the format of data:image/{type};base64,{data}. - - Note that URL could have length limits. - """ - - -class ContentImageContentItem(TypedDict, total=False): - image: Required[ContentImageContentItemImage] - """Image as a base64 encoded string or an URL""" - - type: Required[Literal["image"]] - """Discriminator type of the content item. Always "image" """ - - -class ContentTextContentItem(TypedDict, total=False): - text: Required[str] - """Text content""" - - type: Required[Literal["text"]] - """Discriminator type of the content item. Always "text" """ - - -class ContentURL(TypedDict, total=False): - uri: Required[str] - """The URL string pointing to the resource""" - - -Content: TypeAlias = Union[ - str, ContentImageContentItem, ContentTextContentItem, Iterable[InterleavedContentItem], ContentURL -] - - -class Document(TypedDict, total=False): - content: Required[Content] - """The content of the document.""" - - document_id: Required[str] - """The unique identifier for the document.""" - - metadata: Required[Dict[str, Union[bool, float, str, Iterable[object], object, None]]] - """Additional metadata for the document.""" - - mime_type: str - """The MIME type of the document.""" diff --git a/src/llama_stack_client/types/shared_params/query_config.py b/src/llama_stack_client/types/shared_params/query_config.py deleted file mode 100644 index 5328bf42..00000000 --- a/src/llama_stack_client/types/shared_params/query_config.py +++ /dev/null @@ -1,100 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing import Union -from typing_extensions import Literal, Required, TypeAlias, TypedDict - -__all__ = [ - "QueryConfig", - "QueryGeneratorConfig", - "QueryGeneratorConfigDefaultRagQueryGeneratorConfig", - "QueryGeneratorConfigLlmragQueryGeneratorConfig", - "Ranker", - "RankerRrfRanker", - "RankerWeightedRanker", -] - - -class QueryGeneratorConfigDefaultRagQueryGeneratorConfig(TypedDict, total=False): - separator: Required[str] - """String separator used to join query terms""" - - type: Required[Literal["default"]] - """Type of query generator, always 'default'""" - - -class QueryGeneratorConfigLlmragQueryGeneratorConfig(TypedDict, total=False): - model: Required[str] - """Name of the language model to use for query generation""" - - template: Required[str] - """Template string for formatting the query generation prompt""" - - type: Required[Literal["llm"]] - """Type of query generator, always 'llm'""" - - -QueryGeneratorConfig: TypeAlias = Union[ - QueryGeneratorConfigDefaultRagQueryGeneratorConfig, QueryGeneratorConfigLlmragQueryGeneratorConfig -] - - -class RankerRrfRanker(TypedDict, total=False): - impact_factor: Required[float] - """The impact factor for RRF scoring. - - Higher values give more weight to higher-ranked results. Must be greater than 0 - """ - - type: Required[Literal["rrf"]] - """The type of ranker, always "rrf" """ - - -class RankerWeightedRanker(TypedDict, total=False): - alpha: Required[float] - """Weight factor between 0 and 1. - - 0 means only use keyword scores, 1 means only use vector scores, values in - between blend both scores. - """ - - type: Required[Literal["weighted"]] - """The type of ranker, always "weighted" """ - - -Ranker: TypeAlias = Union[RankerRrfRanker, RankerWeightedRanker] - - -class QueryConfig(TypedDict, total=False): - chunk_template: Required[str] - """Template for formatting each retrieved chunk in the context. - - Available placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk - content string), {metadata} (chunk metadata dict). Default: "Result - {index}\nContent: {chunk.content}\nMetadata: {metadata}\n" - """ - - max_chunks: Required[int] - """Maximum number of chunks to retrieve.""" - - max_tokens_in_context: Required[int] - """Maximum number of tokens in the context.""" - - query_generator_config: Required[QueryGeneratorConfig] - """Configuration for the query generator.""" - - mode: Literal["vector", "keyword", "hybrid"] - """Search mode for retrieval—either "vector", "keyword", or "hybrid". - - Default "vector". - """ - - ranker: Ranker - """Configuration for the ranker to use in hybrid search. Defaults to RRF ranker.""" diff --git a/src/llama_stack_client/types/shield_register_params.py b/src/llama_stack_client/types/shield_register_params.py deleted file mode 100644 index 90e25cc9..00000000 --- a/src/llama_stack_client/types/shield_register_params.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing import Dict, Union, Iterable -from typing_extensions import Required, TypedDict - -__all__ = ["ShieldRegisterParams"] - - -class ShieldRegisterParams(TypedDict, total=False): - shield_id: Required[str] - """The identifier of the shield to register.""" - - params: Dict[str, Union[bool, float, str, Iterable[object], object, None]] - """The parameters of the shield.""" - - provider_id: str - """The identifier of the provider.""" - - provider_shield_id: str - """The identifier of the shield in the provider.""" diff --git a/src/llama_stack_client/types/tool_runtime/__init__.py b/src/llama_stack_client/types/tool_runtime/__init__.py index db62ca58..d14ed874 100644 --- a/src/llama_stack_client/types/tool_runtime/__init__.py +++ b/src/llama_stack_client/types/tool_runtime/__init__.py @@ -7,6 +7,3 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. from __future__ import annotations - -from .rag_tool_query_params import RagToolQueryParams as RagToolQueryParams -from .rag_tool_insert_params import RagToolInsertParams as RagToolInsertParams diff --git a/src/llama_stack_client/types/tool_runtime/rag_tool_insert_params.py b/src/llama_stack_client/types/tool_runtime/rag_tool_insert_params.py deleted file mode 100644 index d65980c5..00000000 --- a/src/llama_stack_client/types/tool_runtime/rag_tool_insert_params.py +++ /dev/null @@ -1,27 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing import Iterable -from typing_extensions import Required, TypedDict - -from ..shared_params.document import Document - -__all__ = ["RagToolInsertParams"] - - -class RagToolInsertParams(TypedDict, total=False): - chunk_size_in_tokens: Required[int] - """(Optional) Size in tokens for document chunking during indexing""" - - documents: Required[Iterable[Document]] - """List of documents to index in the RAG system""" - - vector_store_id: Required[str] - """ID of the vector database to store the document embeddings""" diff --git a/src/llama_stack_client/types/tool_runtime/rag_tool_query_params.py b/src/llama_stack_client/types/tool_runtime/rag_tool_query_params.py deleted file mode 100644 index 6e8fa8ce..00000000 --- a/src/llama_stack_client/types/tool_runtime/rag_tool_query_params.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing_extensions import Required, TypedDict - -from ..._types import SequenceNotStr -from ..shared_params.query_config import QueryConfig -from ..shared_params.interleaved_content import InterleavedContent - -__all__ = ["RagToolQueryParams"] - - -class RagToolQueryParams(TypedDict, total=False): - content: Required[InterleavedContent] - """The query content to search for in the indexed documents""" - - vector_store_ids: Required[SequenceNotStr[str]] - """List of vector database IDs to search within""" - - query_config: QueryConfig - """(Optional) Configuration parameters for the query operation""" diff --git a/src/llama_stack_client/types/toolgroup_register_params.py b/src/llama_stack_client/types/toolgroup_register_params.py deleted file mode 100644 index d60d839a..00000000 --- a/src/llama_stack_client/types/toolgroup_register_params.py +++ /dev/null @@ -1,33 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing import Dict, Union, Iterable -from typing_extensions import Required, TypedDict - -__all__ = ["ToolgroupRegisterParams", "McpEndpoint"] - - -class ToolgroupRegisterParams(TypedDict, total=False): - provider_id: Required[str] - """The ID of the provider to use for the tool group.""" - - toolgroup_id: Required[str] - """The ID of the tool group to register.""" - - args: Dict[str, Union[bool, float, str, Iterable[object], object, None]] - """A dictionary of arguments to pass to the tool group.""" - - mcp_endpoint: McpEndpoint - """The MCP endpoint to use for the tool group.""" - - -class McpEndpoint(TypedDict, total=False): - uri: Required[str] - """The URL string pointing to the resource""" diff --git a/src/llama_stack_client/types/vector_store_create_params.py b/src/llama_stack_client/types/vector_store_create_params.py index c4930972..7798b5cb 100644 --- a/src/llama_stack_client/types/vector_store_create_params.py +++ b/src/llama_stack_client/types/vector_store_create_params.py @@ -9,15 +9,21 @@ from __future__ import annotations from typing import Dict, Union, Iterable -from typing_extensions import TypedDict +from typing_extensions import Literal, Required, TypeAlias, TypedDict from .._types import SequenceNotStr -__all__ = ["VectorStoreCreateParams"] +__all__ = [ + "VectorStoreCreateParams", + "ChunkingStrategy", + "ChunkingStrategyVectorStoreChunkingStrategyAuto", + "ChunkingStrategyVectorStoreChunkingStrategyStatic", + "ChunkingStrategyVectorStoreChunkingStrategyStaticStatic", +] class VectorStoreCreateParams(TypedDict, total=False): - chunking_strategy: Dict[str, Union[bool, float, str, Iterable[object], object, None]] + chunking_strategy: ChunkingStrategy """(Optional) Strategy for splitting files into chunks""" expires_after: Dict[str, Union[bool, float, str, Iterable[object], object, None]] @@ -31,3 +37,29 @@ class VectorStoreCreateParams(TypedDict, total=False): name: str """(Optional) A name for the vector store""" + + +class ChunkingStrategyVectorStoreChunkingStrategyAuto(TypedDict, total=False): + type: Required[Literal["auto"]] + """Strategy type, always "auto" for automatic chunking""" + + +class ChunkingStrategyVectorStoreChunkingStrategyStaticStatic(TypedDict, total=False): + chunk_overlap_tokens: Required[int] + """Number of tokens to overlap between adjacent chunks""" + + max_chunk_size_tokens: Required[int] + """Maximum number of tokens per chunk, must be between 100 and 4096""" + + +class ChunkingStrategyVectorStoreChunkingStrategyStatic(TypedDict, total=False): + static: Required[ChunkingStrategyVectorStoreChunkingStrategyStaticStatic] + """Configuration parameters for the static chunking strategy""" + + type: Required[Literal["static"]] + """Strategy type, always "static" for static chunking""" + + +ChunkingStrategy: TypeAlias = Union[ + ChunkingStrategyVectorStoreChunkingStrategyAuto, ChunkingStrategyVectorStoreChunkingStrategyStatic +] diff --git a/src/llama_stack_client/types/vector_store_search_response.py b/src/llama_stack_client/types/vector_store_search_response.py index 48e5fb8f..4101d276 100644 --- a/src/llama_stack_client/types/vector_store_search_response.py +++ b/src/llama_stack_client/types/vector_store_search_response.py @@ -11,7 +11,45 @@ from .._models import BaseModel -__all__ = ["VectorStoreSearchResponse", "Data", "DataContent"] +__all__ = ["VectorStoreSearchResponse", "Data", "DataContent", "DataContentChunkMetadata"] + + +class DataContentChunkMetadata(BaseModel): + chunk_embedding_dimension: Optional[int] = None + """The dimension of the embedding vector for the chunk.""" + + chunk_embedding_model: Optional[str] = None + """The embedding model used to create the chunk's embedding.""" + + chunk_id: Optional[str] = None + """The ID of the chunk. + + If not set, it will be generated based on the document ID and content. + """ + + chunk_tokenizer: Optional[str] = None + """The tokenizer used to create the chunk. Default is Tiktoken.""" + + chunk_window: Optional[str] = None + """The window of the chunk, which can be used to group related chunks together.""" + + content_token_count: Optional[int] = None + """The number of tokens in the content of the chunk.""" + + created_timestamp: Optional[int] = None + """An optional timestamp indicating when the chunk was created.""" + + document_id: Optional[str] = None + """The ID of the document this chunk belongs to.""" + + metadata_token_count: Optional[int] = None + """The number of tokens in the metadata of the chunk.""" + + source: Optional[str] = None + """The source of the content, such as a URL, file path, or other identifier.""" + + updated_timestamp: Optional[int] = None + """An optional timestamp indicating when the chunk was last updated.""" class DataContent(BaseModel): @@ -21,6 +59,15 @@ class DataContent(BaseModel): type: Literal["text"] """Content type, currently only "text" is supported""" + chunk_metadata: Optional[DataContentChunkMetadata] = None + """Optional chunk metadata""" + + embedding: Optional[List[float]] = None + """Optional embedding vector for this content chunk""" + + metadata: Optional[Dict[str, Union[bool, float, str, List[object], object, None]]] = None + """Optional user-defined metadata""" + class Data(BaseModel): content: List[DataContent] @@ -49,7 +96,7 @@ class VectorStoreSearchResponse(BaseModel): object: str """Object type identifier for the search results page""" - search_query: str + search_query: List[str] """The original search query that was executed""" next_page: Optional[str] = None diff --git a/src/llama_stack_client/types/vector_stores/__init__.py b/src/llama_stack_client/types/vector_stores/__init__.py index e74ba448..eba5fe9f 100644 --- a/src/llama_stack_client/types/vector_stores/__init__.py +++ b/src/llama_stack_client/types/vector_stores/__init__.py @@ -12,6 +12,7 @@ from .vector_store_file import VectorStoreFile as VectorStoreFile from .file_create_params import FileCreateParams as FileCreateParams from .file_update_params import FileUpdateParams as FileUpdateParams +from .file_content_params import FileContentParams as FileContentParams from .file_delete_response import FileDeleteResponse as FileDeleteResponse from .file_content_response import FileContentResponse as FileContentResponse from .file_batch_create_params import FileBatchCreateParams as FileBatchCreateParams diff --git a/src/llama_stack_client/types/vector_stores/file_content_params.py b/src/llama_stack_client/types/vector_stores/file_content_params.py new file mode 100644 index 00000000..3a2ab9f4 --- /dev/null +++ b/src/llama_stack_client/types/vector_stores/file_content_params.py @@ -0,0 +1,17 @@ +# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +from __future__ import annotations + +from typing_extensions import Required, TypedDict + +__all__ = ["FileContentParams"] + + +class FileContentParams(TypedDict, total=False): + vector_store_id: Required[str] + + include_embeddings: bool + """Whether to include embedding vectors in the response.""" + + include_metadata: bool + """Whether to include chunk metadata in the response.""" diff --git a/src/llama_stack_client/types/vector_stores/file_content_response.py b/src/llama_stack_client/types/vector_stores/file_content_response.py index 25db83c5..cb151457 100644 --- a/src/llama_stack_client/types/vector_stores/file_content_response.py +++ b/src/llama_stack_client/types/vector_stores/file_content_response.py @@ -6,31 +6,78 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. -from typing import Dict, List, Union +from typing import Dict, List, Union, Optional from typing_extensions import Literal from ..._models import BaseModel -__all__ = ["FileContentResponse", "Content"] +__all__ = ["FileContentResponse", "Data", "DataChunkMetadata"] -class Content(BaseModel): +class DataChunkMetadata(BaseModel): + chunk_embedding_dimension: Optional[int] = None + """The dimension of the embedding vector for the chunk.""" + + chunk_embedding_model: Optional[str] = None + """The embedding model used to create the chunk's embedding.""" + + chunk_id: Optional[str] = None + """The ID of the chunk. + + If not set, it will be generated based on the document ID and content. + """ + + chunk_tokenizer: Optional[str] = None + """The tokenizer used to create the chunk. Default is Tiktoken.""" + + chunk_window: Optional[str] = None + """The window of the chunk, which can be used to group related chunks together.""" + + content_token_count: Optional[int] = None + """The number of tokens in the content of the chunk.""" + + created_timestamp: Optional[int] = None + """An optional timestamp indicating when the chunk was created.""" + + document_id: Optional[str] = None + """The ID of the document this chunk belongs to.""" + + metadata_token_count: Optional[int] = None + """The number of tokens in the metadata of the chunk.""" + + source: Optional[str] = None + """The source of the content, such as a URL, file path, or other identifier.""" + + updated_timestamp: Optional[int] = None + """An optional timestamp indicating when the chunk was last updated.""" + + +class Data(BaseModel): text: str """The actual text content""" type: Literal["text"] """Content type, currently only "text" is supported""" + chunk_metadata: Optional[DataChunkMetadata] = None + """Optional chunk metadata""" + + embedding: Optional[List[float]] = None + """Optional embedding vector for this content chunk""" + + metadata: Optional[Dict[str, Union[bool, float, str, List[object], object, None]]] = None + """Optional user-defined metadata""" + class FileContentResponse(BaseModel): - attributes: Dict[str, Union[bool, float, str, List[object], object, None]] - """Key-value attributes associated with the file""" + data: List[Data] + """Parsed content of the file""" - content: List[Content] - """List of content items from the file""" + has_more: bool + """Indicates if there are more content pages to fetch""" - file_id: str - """Unique identifier for the file""" + object: Literal["vector_store.file_content.page"] + """The object type, which is always `vector_store.file_content.page`""" - filename: str - """Name of the file""" + next_page: Optional[str] = None + """The token for the next page, if any""" diff --git a/tests/api_resources/alpha/test_benchmarks.py b/tests/api_resources/alpha/test_benchmarks.py index 71ad6bc2..eeb6c2f2 100644 --- a/tests/api_resources/alpha/test_benchmarks.py +++ b/tests/api_resources/alpha/test_benchmarks.py @@ -17,6 +17,8 @@ from llama_stack_client import LlamaStackClient, AsyncLlamaStackClient from llama_stack_client.types.alpha import Benchmark, BenchmarkListResponse +# pyright: reportDeprecated=false + base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010") @@ -88,32 +90,37 @@ def test_streaming_response_list(self, client: LlamaStackClient) -> None: @parametrize def test_method_register(self, client: LlamaStackClient) -> None: - benchmark = client.alpha.benchmarks.register( - benchmark_id="benchmark_id", - dataset_id="dataset_id", - scoring_functions=["string"], - ) + with pytest.warns(DeprecationWarning): + benchmark = client.alpha.benchmarks.register( + benchmark_id="benchmark_id", + dataset_id="dataset_id", + scoring_functions=["string"], + ) + assert benchmark is None @parametrize def test_method_register_with_all_params(self, client: LlamaStackClient) -> None: - benchmark = client.alpha.benchmarks.register( - benchmark_id="benchmark_id", - dataset_id="dataset_id", - scoring_functions=["string"], - metadata={"foo": True}, - provider_benchmark_id="provider_benchmark_id", - provider_id="provider_id", - ) + with pytest.warns(DeprecationWarning): + benchmark = client.alpha.benchmarks.register( + benchmark_id="benchmark_id", + dataset_id="dataset_id", + scoring_functions=["string"], + metadata={"foo": True}, + provider_benchmark_id="provider_benchmark_id", + provider_id="provider_id", + ) + assert benchmark is None @parametrize def test_raw_response_register(self, client: LlamaStackClient) -> None: - response = client.alpha.benchmarks.with_raw_response.register( - benchmark_id="benchmark_id", - dataset_id="dataset_id", - scoring_functions=["string"], - ) + with pytest.warns(DeprecationWarning): + response = client.alpha.benchmarks.with_raw_response.register( + benchmark_id="benchmark_id", + dataset_id="dataset_id", + scoring_functions=["string"], + ) assert response.is_closed is True assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -122,16 +129,17 @@ def test_raw_response_register(self, client: LlamaStackClient) -> None: @parametrize def test_streaming_response_register(self, client: LlamaStackClient) -> None: - with client.alpha.benchmarks.with_streaming_response.register( - benchmark_id="benchmark_id", - dataset_id="dataset_id", - scoring_functions=["string"], - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - benchmark = response.parse() - assert benchmark is None + with pytest.warns(DeprecationWarning): + with client.alpha.benchmarks.with_streaming_response.register( + benchmark_id="benchmark_id", + dataset_id="dataset_id", + scoring_functions=["string"], + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + benchmark = response.parse() + assert benchmark is None assert cast(Any, response.is_closed) is True @@ -206,32 +214,37 @@ async def test_streaming_response_list(self, async_client: AsyncLlamaStackClient @parametrize async def test_method_register(self, async_client: AsyncLlamaStackClient) -> None: - benchmark = await async_client.alpha.benchmarks.register( - benchmark_id="benchmark_id", - dataset_id="dataset_id", - scoring_functions=["string"], - ) + with pytest.warns(DeprecationWarning): + benchmark = await async_client.alpha.benchmarks.register( + benchmark_id="benchmark_id", + dataset_id="dataset_id", + scoring_functions=["string"], + ) + assert benchmark is None @parametrize async def test_method_register_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: - benchmark = await async_client.alpha.benchmarks.register( - benchmark_id="benchmark_id", - dataset_id="dataset_id", - scoring_functions=["string"], - metadata={"foo": True}, - provider_benchmark_id="provider_benchmark_id", - provider_id="provider_id", - ) + with pytest.warns(DeprecationWarning): + benchmark = await async_client.alpha.benchmarks.register( + benchmark_id="benchmark_id", + dataset_id="dataset_id", + scoring_functions=["string"], + metadata={"foo": True}, + provider_benchmark_id="provider_benchmark_id", + provider_id="provider_id", + ) + assert benchmark is None @parametrize async def test_raw_response_register(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.alpha.benchmarks.with_raw_response.register( - benchmark_id="benchmark_id", - dataset_id="dataset_id", - scoring_functions=["string"], - ) + with pytest.warns(DeprecationWarning): + response = await async_client.alpha.benchmarks.with_raw_response.register( + benchmark_id="benchmark_id", + dataset_id="dataset_id", + scoring_functions=["string"], + ) assert response.is_closed is True assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -240,15 +253,16 @@ async def test_raw_response_register(self, async_client: AsyncLlamaStackClient) @parametrize async def test_streaming_response_register(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.alpha.benchmarks.with_streaming_response.register( - benchmark_id="benchmark_id", - dataset_id="dataset_id", - scoring_functions=["string"], - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - benchmark = await response.parse() - assert benchmark is None + with pytest.warns(DeprecationWarning): + async with async_client.alpha.benchmarks.with_streaming_response.register( + benchmark_id="benchmark_id", + dataset_id="dataset_id", + scoring_functions=["string"], + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + benchmark = await response.parse() + assert benchmark is None assert cast(Any, response.is_closed) is True diff --git a/tests/api_resources/beta/test_datasets.py b/tests/api_resources/beta/test_datasets.py index 7a6fc7c9..026bc23d 100644 --- a/tests/api_resources/beta/test_datasets.py +++ b/tests/api_resources/beta/test_datasets.py @@ -22,6 +22,8 @@ DatasetRetrieveResponse, ) +# pyright: reportDeprecated=false + base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010") @@ -182,37 +184,42 @@ def test_path_params_iterrows(self, client: LlamaStackClient) -> None: @parametrize def test_method_register(self, client: LlamaStackClient) -> None: - dataset = client.beta.datasets.register( - purpose="post-training/messages", - source={ - "type": "uri", - "uri": "uri", - }, - ) + with pytest.warns(DeprecationWarning): + dataset = client.beta.datasets.register( + purpose="post-training/messages", + source={ + "type": "uri", + "uri": "uri", + }, + ) + assert_matches_type(DatasetRegisterResponse, dataset, path=["response"]) @parametrize def test_method_register_with_all_params(self, client: LlamaStackClient) -> None: - dataset = client.beta.datasets.register( - purpose="post-training/messages", - source={ - "type": "uri", - "uri": "uri", - }, - dataset_id="dataset_id", - metadata={"foo": True}, - ) + with pytest.warns(DeprecationWarning): + dataset = client.beta.datasets.register( + purpose="post-training/messages", + source={ + "type": "uri", + "uri": "uri", + }, + dataset_id="dataset_id", + metadata={"foo": True}, + ) + assert_matches_type(DatasetRegisterResponse, dataset, path=["response"]) @parametrize def test_raw_response_register(self, client: LlamaStackClient) -> None: - response = client.beta.datasets.with_raw_response.register( - purpose="post-training/messages", - source={ - "type": "uri", - "uri": "uri", - }, - ) + with pytest.warns(DeprecationWarning): + response = client.beta.datasets.with_raw_response.register( + purpose="post-training/messages", + source={ + "type": "uri", + "uri": "uri", + }, + ) assert response.is_closed is True assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -221,33 +228,37 @@ def test_raw_response_register(self, client: LlamaStackClient) -> None: @parametrize def test_streaming_response_register(self, client: LlamaStackClient) -> None: - with client.beta.datasets.with_streaming_response.register( - purpose="post-training/messages", - source={ - "type": "uri", - "uri": "uri", - }, - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - dataset = response.parse() - assert_matches_type(DatasetRegisterResponse, dataset, path=["response"]) + with pytest.warns(DeprecationWarning): + with client.beta.datasets.with_streaming_response.register( + purpose="post-training/messages", + source={ + "type": "uri", + "uri": "uri", + }, + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + dataset = response.parse() + assert_matches_type(DatasetRegisterResponse, dataset, path=["response"]) assert cast(Any, response.is_closed) is True @parametrize def test_method_unregister(self, client: LlamaStackClient) -> None: - dataset = client.beta.datasets.unregister( - "dataset_id", - ) + with pytest.warns(DeprecationWarning): + dataset = client.beta.datasets.unregister( + "dataset_id", + ) + assert dataset is None @parametrize def test_raw_response_unregister(self, client: LlamaStackClient) -> None: - response = client.beta.datasets.with_raw_response.unregister( - "dataset_id", - ) + with pytest.warns(DeprecationWarning): + response = client.beta.datasets.with_raw_response.unregister( + "dataset_id", + ) assert response.is_closed is True assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -256,23 +267,25 @@ def test_raw_response_unregister(self, client: LlamaStackClient) -> None: @parametrize def test_streaming_response_unregister(self, client: LlamaStackClient) -> None: - with client.beta.datasets.with_streaming_response.unregister( - "dataset_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" + with pytest.warns(DeprecationWarning): + with client.beta.datasets.with_streaming_response.unregister( + "dataset_id", + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" - dataset = response.parse() - assert dataset is None + dataset = response.parse() + assert dataset is None assert cast(Any, response.is_closed) is True @parametrize def test_path_params_unregister(self, client: LlamaStackClient) -> None: - with pytest.raises(ValueError, match=r"Expected a non-empty value for `dataset_id` but received ''"): - client.beta.datasets.with_raw_response.unregister( - "", - ) + with pytest.warns(DeprecationWarning): + with pytest.raises(ValueError, match=r"Expected a non-empty value for `dataset_id` but received ''"): + client.beta.datasets.with_raw_response.unregister( + "", + ) class TestAsyncDatasets: @@ -434,37 +447,42 @@ async def test_path_params_iterrows(self, async_client: AsyncLlamaStackClient) - @parametrize async def test_method_register(self, async_client: AsyncLlamaStackClient) -> None: - dataset = await async_client.beta.datasets.register( - purpose="post-training/messages", - source={ - "type": "uri", - "uri": "uri", - }, - ) + with pytest.warns(DeprecationWarning): + dataset = await async_client.beta.datasets.register( + purpose="post-training/messages", + source={ + "type": "uri", + "uri": "uri", + }, + ) + assert_matches_type(DatasetRegisterResponse, dataset, path=["response"]) @parametrize async def test_method_register_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: - dataset = await async_client.beta.datasets.register( - purpose="post-training/messages", - source={ - "type": "uri", - "uri": "uri", - }, - dataset_id="dataset_id", - metadata={"foo": True}, - ) + with pytest.warns(DeprecationWarning): + dataset = await async_client.beta.datasets.register( + purpose="post-training/messages", + source={ + "type": "uri", + "uri": "uri", + }, + dataset_id="dataset_id", + metadata={"foo": True}, + ) + assert_matches_type(DatasetRegisterResponse, dataset, path=["response"]) @parametrize async def test_raw_response_register(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.beta.datasets.with_raw_response.register( - purpose="post-training/messages", - source={ - "type": "uri", - "uri": "uri", - }, - ) + with pytest.warns(DeprecationWarning): + response = await async_client.beta.datasets.with_raw_response.register( + purpose="post-training/messages", + source={ + "type": "uri", + "uri": "uri", + }, + ) assert response.is_closed is True assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -473,33 +491,37 @@ async def test_raw_response_register(self, async_client: AsyncLlamaStackClient) @parametrize async def test_streaming_response_register(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.beta.datasets.with_streaming_response.register( - purpose="post-training/messages", - source={ - "type": "uri", - "uri": "uri", - }, - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - dataset = await response.parse() - assert_matches_type(DatasetRegisterResponse, dataset, path=["response"]) + with pytest.warns(DeprecationWarning): + async with async_client.beta.datasets.with_streaming_response.register( + purpose="post-training/messages", + source={ + "type": "uri", + "uri": "uri", + }, + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + dataset = await response.parse() + assert_matches_type(DatasetRegisterResponse, dataset, path=["response"]) assert cast(Any, response.is_closed) is True @parametrize async def test_method_unregister(self, async_client: AsyncLlamaStackClient) -> None: - dataset = await async_client.beta.datasets.unregister( - "dataset_id", - ) + with pytest.warns(DeprecationWarning): + dataset = await async_client.beta.datasets.unregister( + "dataset_id", + ) + assert dataset is None @parametrize async def test_raw_response_unregister(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.beta.datasets.with_raw_response.unregister( - "dataset_id", - ) + with pytest.warns(DeprecationWarning): + response = await async_client.beta.datasets.with_raw_response.unregister( + "dataset_id", + ) assert response.is_closed is True assert response.http_request.headers.get("X-Stainless-Lang") == "python" @@ -508,20 +530,22 @@ async def test_raw_response_unregister(self, async_client: AsyncLlamaStackClient @parametrize async def test_streaming_response_unregister(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.beta.datasets.with_streaming_response.unregister( - "dataset_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" + with pytest.warns(DeprecationWarning): + async with async_client.beta.datasets.with_streaming_response.unregister( + "dataset_id", + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" - dataset = await response.parse() - assert dataset is None + dataset = await response.parse() + assert dataset is None assert cast(Any, response.is_closed) is True @parametrize async def test_path_params_unregister(self, async_client: AsyncLlamaStackClient) -> None: - with pytest.raises(ValueError, match=r"Expected a non-empty value for `dataset_id` but received ''"): - await async_client.beta.datasets.with_raw_response.unregister( - "", - ) + with pytest.warns(DeprecationWarning): + with pytest.raises(ValueError, match=r"Expected a non-empty value for `dataset_id` but received ''"): + await async_client.beta.datasets.with_raw_response.unregister( + "", + ) diff --git a/tests/api_resources/test_models.py b/tests/api_resources/test_models.py index 89fb7e7c..a50d3905 100644 --- a/tests/api_resources/test_models.py +++ b/tests/api_resources/test_models.py @@ -15,11 +15,7 @@ from tests.utils import assert_matches_type from llama_stack_client import LlamaStackClient, AsyncLlamaStackClient -from llama_stack_client.types import ( - ModelListResponse, - ModelRegisterResponse, - ModelRetrieveResponse, -) +from llama_stack_client.types import ModelListResponse, ModelRetrieveResponse base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010") @@ -90,86 +86,6 @@ def test_streaming_response_list(self, client: LlamaStackClient) -> None: assert cast(Any, response.is_closed) is True - @parametrize - def test_method_register(self, client: LlamaStackClient) -> None: - model = client.models.register( - model_id="model_id", - ) - assert_matches_type(ModelRegisterResponse, model, path=["response"]) - - @parametrize - def test_method_register_with_all_params(self, client: LlamaStackClient) -> None: - model = client.models.register( - model_id="model_id", - metadata={"foo": True}, - model_type="llm", - provider_id="provider_id", - provider_model_id="provider_model_id", - ) - assert_matches_type(ModelRegisterResponse, model, path=["response"]) - - @parametrize - def test_raw_response_register(self, client: LlamaStackClient) -> None: - response = client.models.with_raw_response.register( - model_id="model_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - model = response.parse() - assert_matches_type(ModelRegisterResponse, model, path=["response"]) - - @parametrize - def test_streaming_response_register(self, client: LlamaStackClient) -> None: - with client.models.with_streaming_response.register( - model_id="model_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - model = response.parse() - assert_matches_type(ModelRegisterResponse, model, path=["response"]) - - assert cast(Any, response.is_closed) is True - - @parametrize - def test_method_unregister(self, client: LlamaStackClient) -> None: - model = client.models.unregister( - "model_id", - ) - assert model is None - - @parametrize - def test_raw_response_unregister(self, client: LlamaStackClient) -> None: - response = client.models.with_raw_response.unregister( - "model_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - model = response.parse() - assert model is None - - @parametrize - def test_streaming_response_unregister(self, client: LlamaStackClient) -> None: - with client.models.with_streaming_response.unregister( - "model_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - model = response.parse() - assert model is None - - assert cast(Any, response.is_closed) is True - - @parametrize - def test_path_params_unregister(self, client: LlamaStackClient) -> None: - with pytest.raises(ValueError, match=r"Expected a non-empty value for `model_id` but received ''"): - client.models.with_raw_response.unregister( - "", - ) - class TestAsyncModels: parametrize = pytest.mark.parametrize( @@ -238,83 +154,3 @@ async def test_streaming_response_list(self, async_client: AsyncLlamaStackClient assert_matches_type(ModelListResponse, model, path=["response"]) assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_register(self, async_client: AsyncLlamaStackClient) -> None: - model = await async_client.models.register( - model_id="model_id", - ) - assert_matches_type(ModelRegisterResponse, model, path=["response"]) - - @parametrize - async def test_method_register_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: - model = await async_client.models.register( - model_id="model_id", - metadata={"foo": True}, - model_type="llm", - provider_id="provider_id", - provider_model_id="provider_model_id", - ) - assert_matches_type(ModelRegisterResponse, model, path=["response"]) - - @parametrize - async def test_raw_response_register(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.models.with_raw_response.register( - model_id="model_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - model = await response.parse() - assert_matches_type(ModelRegisterResponse, model, path=["response"]) - - @parametrize - async def test_streaming_response_register(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.models.with_streaming_response.register( - model_id="model_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - model = await response.parse() - assert_matches_type(ModelRegisterResponse, model, path=["response"]) - - assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_unregister(self, async_client: AsyncLlamaStackClient) -> None: - model = await async_client.models.unregister( - "model_id", - ) - assert model is None - - @parametrize - async def test_raw_response_unregister(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.models.with_raw_response.unregister( - "model_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - model = await response.parse() - assert model is None - - @parametrize - async def test_streaming_response_unregister(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.models.with_streaming_response.unregister( - "model_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - model = await response.parse() - assert model is None - - assert cast(Any, response.is_closed) is True - - @parametrize - async def test_path_params_unregister(self, async_client: AsyncLlamaStackClient) -> None: - with pytest.raises(ValueError, match=r"Expected a non-empty value for `model_id` but received ''"): - await async_client.models.with_raw_response.unregister( - "", - ) diff --git a/tests/api_resources/test_responses.py b/tests/api_resources/test_responses.py index 3bdafe3c..3e585ebb 100644 --- a/tests/api_resources/test_responses.py +++ b/tests/api_resources/test_responses.py @@ -45,6 +45,7 @@ def test_method_create_with_all_params_overload_1(self, client: LlamaStackClient include=["string"], instructions="instructions", max_infer_iters=0, + max_tool_calls=0, previous_response_id="previous_response_id", prompt={ "id": "id", @@ -122,6 +123,7 @@ def test_method_create_with_all_params_overload_2(self, client: LlamaStackClient include=["string"], instructions="instructions", max_infer_iters=0, + max_tool_calls=0, previous_response_id="previous_response_id", prompt={ "id": "id", @@ -314,6 +316,7 @@ async def test_method_create_with_all_params_overload_1(self, async_client: Asyn include=["string"], instructions="instructions", max_infer_iters=0, + max_tool_calls=0, previous_response_id="previous_response_id", prompt={ "id": "id", @@ -391,6 +394,7 @@ async def test_method_create_with_all_params_overload_2(self, async_client: Asyn include=["string"], instructions="instructions", max_infer_iters=0, + max_tool_calls=0, previous_response_id="previous_response_id", prompt={ "id": "id", diff --git a/tests/api_resources/test_scoring_functions.py b/tests/api_resources/test_scoring_functions.py index 74421e2f..de9e2bc7 100644 --- a/tests/api_resources/test_scoring_functions.py +++ b/tests/api_resources/test_scoring_functions.py @@ -15,10 +15,7 @@ from tests.utils import assert_matches_type from llama_stack_client import LlamaStackClient, AsyncLlamaStackClient -from llama_stack_client.types import ( - ScoringFn, - ScoringFunctionListResponse, -) +from llama_stack_client.types import ScoringFn, ScoringFunctionListResponse base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010") @@ -89,61 +86,6 @@ def test_streaming_response_list(self, client: LlamaStackClient) -> None: assert cast(Any, response.is_closed) is True - @parametrize - def test_method_register(self, client: LlamaStackClient) -> None: - scoring_function = client.scoring_functions.register( - description="description", - return_type={"type": "string"}, - scoring_fn_id="scoring_fn_id", - ) - assert scoring_function is None - - @parametrize - def test_method_register_with_all_params(self, client: LlamaStackClient) -> None: - scoring_function = client.scoring_functions.register( - description="description", - return_type={"type": "string"}, - scoring_fn_id="scoring_fn_id", - params={ - "aggregation_functions": ["average"], - "judge_model": "judge_model", - "judge_score_regexes": ["string"], - "type": "llm_as_judge", - "prompt_template": "prompt_template", - }, - provider_id="provider_id", - provider_scoring_fn_id="provider_scoring_fn_id", - ) - assert scoring_function is None - - @parametrize - def test_raw_response_register(self, client: LlamaStackClient) -> None: - response = client.scoring_functions.with_raw_response.register( - description="description", - return_type={"type": "string"}, - scoring_fn_id="scoring_fn_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - scoring_function = response.parse() - assert scoring_function is None - - @parametrize - def test_streaming_response_register(self, client: LlamaStackClient) -> None: - with client.scoring_functions.with_streaming_response.register( - description="description", - return_type={"type": "string"}, - scoring_fn_id="scoring_fn_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - scoring_function = response.parse() - assert scoring_function is None - - assert cast(Any, response.is_closed) is True - class TestAsyncScoringFunctions: parametrize = pytest.mark.parametrize( @@ -212,58 +154,3 @@ async def test_streaming_response_list(self, async_client: AsyncLlamaStackClient assert_matches_type(ScoringFunctionListResponse, scoring_function, path=["response"]) assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_register(self, async_client: AsyncLlamaStackClient) -> None: - scoring_function = await async_client.scoring_functions.register( - description="description", - return_type={"type": "string"}, - scoring_fn_id="scoring_fn_id", - ) - assert scoring_function is None - - @parametrize - async def test_method_register_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: - scoring_function = await async_client.scoring_functions.register( - description="description", - return_type={"type": "string"}, - scoring_fn_id="scoring_fn_id", - params={ - "aggregation_functions": ["average"], - "judge_model": "judge_model", - "judge_score_regexes": ["string"], - "type": "llm_as_judge", - "prompt_template": "prompt_template", - }, - provider_id="provider_id", - provider_scoring_fn_id="provider_scoring_fn_id", - ) - assert scoring_function is None - - @parametrize - async def test_raw_response_register(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.scoring_functions.with_raw_response.register( - description="description", - return_type={"type": "string"}, - scoring_fn_id="scoring_fn_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - scoring_function = await response.parse() - assert scoring_function is None - - @parametrize - async def test_streaming_response_register(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.scoring_functions.with_streaming_response.register( - description="description", - return_type={"type": "string"}, - scoring_fn_id="scoring_fn_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - scoring_function = await response.parse() - assert scoring_function is None - - assert cast(Any, response.is_closed) is True diff --git a/tests/api_resources/test_shields.py b/tests/api_resources/test_shields.py index f50e9979..f03e6185 100644 --- a/tests/api_resources/test_shields.py +++ b/tests/api_resources/test_shields.py @@ -86,85 +86,6 @@ def test_streaming_response_list(self, client: LlamaStackClient) -> None: assert cast(Any, response.is_closed) is True - @parametrize - def test_method_delete(self, client: LlamaStackClient) -> None: - shield = client.shields.delete( - "identifier", - ) - assert shield is None - - @parametrize - def test_raw_response_delete(self, client: LlamaStackClient) -> None: - response = client.shields.with_raw_response.delete( - "identifier", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - shield = response.parse() - assert shield is None - - @parametrize - def test_streaming_response_delete(self, client: LlamaStackClient) -> None: - with client.shields.with_streaming_response.delete( - "identifier", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - shield = response.parse() - assert shield is None - - assert cast(Any, response.is_closed) is True - - @parametrize - def test_path_params_delete(self, client: LlamaStackClient) -> None: - with pytest.raises(ValueError, match=r"Expected a non-empty value for `identifier` but received ''"): - client.shields.with_raw_response.delete( - "", - ) - - @parametrize - def test_method_register(self, client: LlamaStackClient) -> None: - shield = client.shields.register( - shield_id="shield_id", - ) - assert_matches_type(Shield, shield, path=["response"]) - - @parametrize - def test_method_register_with_all_params(self, client: LlamaStackClient) -> None: - shield = client.shields.register( - shield_id="shield_id", - params={"foo": True}, - provider_id="provider_id", - provider_shield_id="provider_shield_id", - ) - assert_matches_type(Shield, shield, path=["response"]) - - @parametrize - def test_raw_response_register(self, client: LlamaStackClient) -> None: - response = client.shields.with_raw_response.register( - shield_id="shield_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - shield = response.parse() - assert_matches_type(Shield, shield, path=["response"]) - - @parametrize - def test_streaming_response_register(self, client: LlamaStackClient) -> None: - with client.shields.with_streaming_response.register( - shield_id="shield_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - shield = response.parse() - assert_matches_type(Shield, shield, path=["response"]) - - assert cast(Any, response.is_closed) is True - class TestAsyncShields: parametrize = pytest.mark.parametrize( @@ -233,82 +154,3 @@ async def test_streaming_response_list(self, async_client: AsyncLlamaStackClient assert_matches_type(ShieldListResponse, shield, path=["response"]) assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_delete(self, async_client: AsyncLlamaStackClient) -> None: - shield = await async_client.shields.delete( - "identifier", - ) - assert shield is None - - @parametrize - async def test_raw_response_delete(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.shields.with_raw_response.delete( - "identifier", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - shield = await response.parse() - assert shield is None - - @parametrize - async def test_streaming_response_delete(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.shields.with_streaming_response.delete( - "identifier", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - shield = await response.parse() - assert shield is None - - assert cast(Any, response.is_closed) is True - - @parametrize - async def test_path_params_delete(self, async_client: AsyncLlamaStackClient) -> None: - with pytest.raises(ValueError, match=r"Expected a non-empty value for `identifier` but received ''"): - await async_client.shields.with_raw_response.delete( - "", - ) - - @parametrize - async def test_method_register(self, async_client: AsyncLlamaStackClient) -> None: - shield = await async_client.shields.register( - shield_id="shield_id", - ) - assert_matches_type(Shield, shield, path=["response"]) - - @parametrize - async def test_method_register_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: - shield = await async_client.shields.register( - shield_id="shield_id", - params={"foo": True}, - provider_id="provider_id", - provider_shield_id="provider_shield_id", - ) - assert_matches_type(Shield, shield, path=["response"]) - - @parametrize - async def test_raw_response_register(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.shields.with_raw_response.register( - shield_id="shield_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - shield = await response.parse() - assert_matches_type(Shield, shield, path=["response"]) - - @parametrize - async def test_streaming_response_register(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.shields.with_streaming_response.register( - shield_id="shield_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - shield = await response.parse() - assert_matches_type(Shield, shield, path=["response"]) - - assert cast(Any, response.is_closed) is True diff --git a/tests/api_resources/test_toolgroups.py b/tests/api_resources/test_toolgroups.py index 6ae5ae0d..73db1e46 100644 --- a/tests/api_resources/test_toolgroups.py +++ b/tests/api_resources/test_toolgroups.py @@ -86,88 +86,6 @@ def test_path_params_get(self, client: LlamaStackClient) -> None: "", ) - @parametrize - def test_method_register(self, client: LlamaStackClient) -> None: - toolgroup = client.toolgroups.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", - ) - assert toolgroup is None - - @parametrize - def test_method_register_with_all_params(self, client: LlamaStackClient) -> None: - toolgroup = client.toolgroups.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", - args={"foo": True}, - mcp_endpoint={"uri": "uri"}, - ) - assert toolgroup is None - - @parametrize - def test_raw_response_register(self, client: LlamaStackClient) -> None: - response = client.toolgroups.with_raw_response.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - toolgroup = response.parse() - assert toolgroup is None - - @parametrize - def test_streaming_response_register(self, client: LlamaStackClient) -> None: - with client.toolgroups.with_streaming_response.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - toolgroup = response.parse() - assert toolgroup is None - - assert cast(Any, response.is_closed) is True - - @parametrize - def test_method_unregister(self, client: LlamaStackClient) -> None: - toolgroup = client.toolgroups.unregister( - "toolgroup_id", - ) - assert toolgroup is None - - @parametrize - def test_raw_response_unregister(self, client: LlamaStackClient) -> None: - response = client.toolgroups.with_raw_response.unregister( - "toolgroup_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - toolgroup = response.parse() - assert toolgroup is None - - @parametrize - def test_streaming_response_unregister(self, client: LlamaStackClient) -> None: - with client.toolgroups.with_streaming_response.unregister( - "toolgroup_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - toolgroup = response.parse() - assert toolgroup is None - - assert cast(Any, response.is_closed) is True - - @parametrize - def test_path_params_unregister(self, client: LlamaStackClient) -> None: - with pytest.raises(ValueError, match=r"Expected a non-empty value for `toolgroup_id` but received ''"): - client.toolgroups.with_raw_response.unregister( - "", - ) - class TestAsyncToolgroups: parametrize = pytest.mark.parametrize( @@ -236,85 +154,3 @@ async def test_path_params_get(self, async_client: AsyncLlamaStackClient) -> Non await async_client.toolgroups.with_raw_response.get( "", ) - - @parametrize - async def test_method_register(self, async_client: AsyncLlamaStackClient) -> None: - toolgroup = await async_client.toolgroups.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", - ) - assert toolgroup is None - - @parametrize - async def test_method_register_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: - toolgroup = await async_client.toolgroups.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", - args={"foo": True}, - mcp_endpoint={"uri": "uri"}, - ) - assert toolgroup is None - - @parametrize - async def test_raw_response_register(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.toolgroups.with_raw_response.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - toolgroup = await response.parse() - assert toolgroup is None - - @parametrize - async def test_streaming_response_register(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.toolgroups.with_streaming_response.register( - provider_id="provider_id", - toolgroup_id="toolgroup_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - toolgroup = await response.parse() - assert toolgroup is None - - assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_unregister(self, async_client: AsyncLlamaStackClient) -> None: - toolgroup = await async_client.toolgroups.unregister( - "toolgroup_id", - ) - assert toolgroup is None - - @parametrize - async def test_raw_response_unregister(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.toolgroups.with_raw_response.unregister( - "toolgroup_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - toolgroup = await response.parse() - assert toolgroup is None - - @parametrize - async def test_streaming_response_unregister(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.toolgroups.with_streaming_response.unregister( - "toolgroup_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - toolgroup = await response.parse() - assert toolgroup is None - - assert cast(Any, response.is_closed) is True - - @parametrize - async def test_path_params_unregister(self, async_client: AsyncLlamaStackClient) -> None: - with pytest.raises(ValueError, match=r"Expected a non-empty value for `toolgroup_id` but received ''"): - await async_client.toolgroups.with_raw_response.unregister( - "", - ) diff --git a/tests/api_resources/test_vector_stores.py b/tests/api_resources/test_vector_stores.py index a18c883f..6cfe7043 100644 --- a/tests/api_resources/test_vector_stores.py +++ b/tests/api_resources/test_vector_stores.py @@ -36,7 +36,7 @@ def test_method_create(self, client: LlamaStackClient) -> None: @parametrize def test_method_create_with_all_params(self, client: LlamaStackClient) -> None: vector_store = client.vector_stores.create( - chunking_strategy={"foo": True}, + chunking_strategy={"type": "auto"}, expires_after={"foo": True}, file_ids=["string"], metadata={"foo": True}, @@ -295,7 +295,7 @@ async def test_method_create(self, async_client: AsyncLlamaStackClient) -> None: @parametrize async def test_method_create_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: vector_store = await async_client.vector_stores.create( - chunking_strategy={"foo": True}, + chunking_strategy={"type": "auto"}, expires_after={"foo": True}, file_ids=["string"], metadata={"foo": True}, diff --git a/tests/api_resources/tool_runtime/test_rag_tool.py b/tests/api_resources/tool_runtime/test_rag_tool.py deleted file mode 100644 index fd743058..00000000 --- a/tests/api_resources/tool_runtime/test_rag_tool.py +++ /dev/null @@ -1,252 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -import os -from typing import Any, cast - -import pytest - -from tests.utils import assert_matches_type -from llama_stack_client import LlamaStackClient, AsyncLlamaStackClient -from llama_stack_client.types.shared import QueryResult - -base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010") - - -class TestRagTool: - parametrize = pytest.mark.parametrize("client", [False, True], indirect=True, ids=["loose", "strict"]) - - @parametrize - def test_method_insert(self, client: LlamaStackClient) -> None: - rag_tool = client.tool_runtime.rag_tool.insert( - chunk_size_in_tokens=0, - documents=[ - { - "content": "string", - "document_id": "document_id", - "metadata": {"foo": True}, - } - ], - vector_store_id="vector_store_id", - ) - assert rag_tool is None - - @parametrize - def test_raw_response_insert(self, client: LlamaStackClient) -> None: - response = client.tool_runtime.rag_tool.with_raw_response.insert( - chunk_size_in_tokens=0, - documents=[ - { - "content": "string", - "document_id": "document_id", - "metadata": {"foo": True}, - } - ], - vector_store_id="vector_store_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - rag_tool = response.parse() - assert rag_tool is None - - @parametrize - def test_streaming_response_insert(self, client: LlamaStackClient) -> None: - with client.tool_runtime.rag_tool.with_streaming_response.insert( - chunk_size_in_tokens=0, - documents=[ - { - "content": "string", - "document_id": "document_id", - "metadata": {"foo": True}, - } - ], - vector_store_id="vector_store_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - rag_tool = response.parse() - assert rag_tool is None - - assert cast(Any, response.is_closed) is True - - @parametrize - def test_method_query(self, client: LlamaStackClient) -> None: - rag_tool = client.tool_runtime.rag_tool.query( - content="string", - vector_store_ids=["string"], - ) - assert_matches_type(QueryResult, rag_tool, path=["response"]) - - @parametrize - def test_method_query_with_all_params(self, client: LlamaStackClient) -> None: - rag_tool = client.tool_runtime.rag_tool.query( - content="string", - vector_store_ids=["string"], - query_config={ - "chunk_template": "chunk_template", - "max_chunks": 0, - "max_tokens_in_context": 0, - "query_generator_config": { - "separator": "separator", - "type": "default", - }, - "mode": "vector", - "ranker": { - "impact_factor": 0, - "type": "rrf", - }, - }, - ) - assert_matches_type(QueryResult, rag_tool, path=["response"]) - - @parametrize - def test_raw_response_query(self, client: LlamaStackClient) -> None: - response = client.tool_runtime.rag_tool.with_raw_response.query( - content="string", - vector_store_ids=["string"], - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - rag_tool = response.parse() - assert_matches_type(QueryResult, rag_tool, path=["response"]) - - @parametrize - def test_streaming_response_query(self, client: LlamaStackClient) -> None: - with client.tool_runtime.rag_tool.with_streaming_response.query( - content="string", - vector_store_ids=["string"], - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - rag_tool = response.parse() - assert_matches_type(QueryResult, rag_tool, path=["response"]) - - assert cast(Any, response.is_closed) is True - - -class TestAsyncRagTool: - parametrize = pytest.mark.parametrize( - "async_client", [False, True, {"http_client": "aiohttp"}], indirect=True, ids=["loose", "strict", "aiohttp"] - ) - - @parametrize - async def test_method_insert(self, async_client: AsyncLlamaStackClient) -> None: - rag_tool = await async_client.tool_runtime.rag_tool.insert( - chunk_size_in_tokens=0, - documents=[ - { - "content": "string", - "document_id": "document_id", - "metadata": {"foo": True}, - } - ], - vector_store_id="vector_store_id", - ) - assert rag_tool is None - - @parametrize - async def test_raw_response_insert(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.tool_runtime.rag_tool.with_raw_response.insert( - chunk_size_in_tokens=0, - documents=[ - { - "content": "string", - "document_id": "document_id", - "metadata": {"foo": True}, - } - ], - vector_store_id="vector_store_id", - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - rag_tool = await response.parse() - assert rag_tool is None - - @parametrize - async def test_streaming_response_insert(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.tool_runtime.rag_tool.with_streaming_response.insert( - chunk_size_in_tokens=0, - documents=[ - { - "content": "string", - "document_id": "document_id", - "metadata": {"foo": True}, - } - ], - vector_store_id="vector_store_id", - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - rag_tool = await response.parse() - assert rag_tool is None - - assert cast(Any, response.is_closed) is True - - @parametrize - async def test_method_query(self, async_client: AsyncLlamaStackClient) -> None: - rag_tool = await async_client.tool_runtime.rag_tool.query( - content="string", - vector_store_ids=["string"], - ) - assert_matches_type(QueryResult, rag_tool, path=["response"]) - - @parametrize - async def test_method_query_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: - rag_tool = await async_client.tool_runtime.rag_tool.query( - content="string", - vector_store_ids=["string"], - query_config={ - "chunk_template": "chunk_template", - "max_chunks": 0, - "max_tokens_in_context": 0, - "query_generator_config": { - "separator": "separator", - "type": "default", - }, - "mode": "vector", - "ranker": { - "impact_factor": 0, - "type": "rrf", - }, - }, - ) - assert_matches_type(QueryResult, rag_tool, path=["response"]) - - @parametrize - async def test_raw_response_query(self, async_client: AsyncLlamaStackClient) -> None: - response = await async_client.tool_runtime.rag_tool.with_raw_response.query( - content="string", - vector_store_ids=["string"], - ) - - assert response.is_closed is True - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - rag_tool = await response.parse() - assert_matches_type(QueryResult, rag_tool, path=["response"]) - - @parametrize - async def test_streaming_response_query(self, async_client: AsyncLlamaStackClient) -> None: - async with async_client.tool_runtime.rag_tool.with_streaming_response.query( - content="string", - vector_store_ids=["string"], - ) as response: - assert not response.is_closed - assert response.http_request.headers.get("X-Stainless-Lang") == "python" - - rag_tool = await response.parse() - assert_matches_type(QueryResult, rag_tool, path=["response"]) - - assert cast(Any, response.is_closed) is True diff --git a/tests/api_resources/vector_stores/test_files.py b/tests/api_resources/vector_stores/test_files.py index 8058c623..be614140 100644 --- a/tests/api_resources/vector_stores/test_files.py +++ b/tests/api_resources/vector_stores/test_files.py @@ -287,6 +287,16 @@ def test_method_content(self, client: LlamaStackClient) -> None: ) assert_matches_type(FileContentResponse, file, path=["response"]) + @parametrize + def test_method_content_with_all_params(self, client: LlamaStackClient) -> None: + file = client.vector_stores.files.content( + file_id="file_id", + vector_store_id="vector_store_id", + include_embeddings=True, + include_metadata=True, + ) + assert_matches_type(FileContentResponse, file, path=["response"]) + @parametrize def test_raw_response_content(self, client: LlamaStackClient) -> None: response = client.vector_stores.files.with_raw_response.content( @@ -592,6 +602,16 @@ async def test_method_content(self, async_client: AsyncLlamaStackClient) -> None ) assert_matches_type(FileContentResponse, file, path=["response"]) + @parametrize + async def test_method_content_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: + file = await async_client.vector_stores.files.content( + file_id="file_id", + vector_store_id="vector_store_id", + include_embeddings=True, + include_metadata=True, + ) + assert_matches_type(FileContentResponse, file, path=["response"]) + @parametrize async def test_raw_response_content(self, async_client: AsyncLlamaStackClient) -> None: response = await async_client.vector_stores.files.with_raw_response.content( diff --git a/tests/lib/agents/test_agent_responses.py b/tests/lib/agents/test_agent_responses.py index 35ff2763..7648ed4f 100644 --- a/tests/lib/agents/test_agent_responses.py +++ b/tests/lib/agents/test_agent_responses.py @@ -7,20 +7,17 @@ from __future__ import annotations from types import SimpleNamespace -from typing import Any, Dict, Iterable, Iterator, List, Optional - -import pytest +from typing import Any, Dict, List, Iterable, Iterator from llama_stack_client.lib.agents.agent import Agent from llama_stack_client.lib.agents.client_tool import client_tool from llama_stack_client.lib.agents.turn_events import ( - AgentStreamChunk, - StepCompleted, - StepProgress, StepStarted, - ToolExecutionStepResult, - TurnCompleted, TurnStarted, + StepProgress, + StepCompleted, + TurnCompleted, + ToolExecutionStepResult, ) @@ -192,8 +189,14 @@ def test_agent_streams_server_tool_events() -> None: assert events[1].step_type == "inference" # Look for the tool execution step in the stream - tool_step_started = next(event for event in events if isinstance(event, StepStarted) and event.step_type == "tool_execution") - assert tool_step_started.metadata == {"server_side": True, "tool_type": "file_search", "tool_name": "file_search_call"} + tool_step_started = next( + event for event in events if isinstance(event, StepStarted) and event.step_type == "tool_execution" + ) + assert tool_step_started.metadata == { + "server_side": True, + "tool_type": "file_search", + "tool_name": "file_search_call", + } tool_step_completed = next( event for event in events if isinstance(event, StepCompleted) and event.step_type == "tool_execution" @@ -202,9 +205,7 @@ def test_agent_streams_server_tool_events() -> None: assert tool_step_completed.result.tool_calls[0].call_id == "server_call" text_progress = [ - event.delta.text - for event in events - if isinstance(event, StepProgress) and hasattr(event.delta, "text") + event.delta.text for event in events if isinstance(event, StepProgress) and hasattr(event.delta, "text") ] assert text_progress == ["tool finished"] diff --git a/tests/test_models.py b/tests/test_models.py index 313ff0fc..790cabf9 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -15,7 +15,7 @@ from llama_stack_client._utils import PropertyInfo from llama_stack_client._compat import PYDANTIC_V1, parse_obj, model_dump, model_json -from llama_stack_client._models import BaseModel, construct_type +from llama_stack_client._models import DISCRIMINATOR_CACHE, BaseModel, construct_type class BasicModel(BaseModel): @@ -815,7 +815,7 @@ class B(BaseModel): UnionType = cast(Any, Union[A, B]) - assert not hasattr(UnionType, "__discriminator__") + assert not DISCRIMINATOR_CACHE.get(UnionType) m = construct_type( value={"type": "b", "data": "foo"}, type_=cast(Any, Annotated[UnionType, PropertyInfo(discriminator="type")]) @@ -824,7 +824,7 @@ class B(BaseModel): assert m.type == "b" assert m.data == "foo" # type: ignore[comparison-overlap] - discriminator = UnionType.__discriminator__ + discriminator = DISCRIMINATOR_CACHE.get(UnionType) assert discriminator is not None m = construct_type( @@ 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