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# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== | ||
# Licensed under the Apache License, Version 2.0 (the “License”); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an “AS IS” BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== | ||
import os | ||
from typing import Any, Dict, Optional | ||
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||
from anthropic import Anthropic | ||
from anthropic._types import NOT_GIVEN | ||
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from camel.configs import ANTHROPIC_API_PARAMS | ||
from camel.models import BaseModelBackend | ||
from camel.types import ChatCompletion, ModelType | ||
from camel.utils import AnthropicTokenCounter, BaseTokenCounter | ||
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class AnthropicModel(BaseModelBackend): | ||
r"""Anthropic API in a unified BaseModelBackend interface.""" | ||
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def __init__(self, model_type: ModelType, | ||
model_config_dict: Dict[str, Any]) -> None: | ||
super().__init__(model_type, model_config_dict) | ||
self.client = Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"]) | ||
self._token_counter: Optional[BaseTokenCounter] = None | ||
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def _convert_response_from_anthropic_to_openai(self, response): | ||
# openai ^1.0.0 format, reference openai/types/chat/chat_completion.py | ||
obj = ChatCompletion.construct( | ||
id=None, choices=[ | ||
dict( | ||
index=0, message={ | ||
"role": "assistant", | ||
"content": response.content[0].text | ||
}, finish_reason=response.stop_reason) | ||
], created=None, model=response.model, object="chat.completion") | ||
return obj | ||
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@property | ||
def token_counter(self) -> BaseTokenCounter: | ||
r"""Initialize the token counter for the model backend. | ||
Returns: | ||
BaseTokenCounter: The token counter following the model's | ||
tokenization style. | ||
""" | ||
if not self._token_counter: | ||
self._token_counter = AnthropicTokenCounter(self.model_type) | ||
return self._token_counter | ||
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def count_tokens_from_prompt(self, prompt: str) -> int: | ||
r"""Count the number of tokens from a prompt. | ||
Args: | ||
prompt (str): The prompt string. | ||
Returns: | ||
int: The number of tokens in the prompt. | ||
""" | ||
return self.client.count_tokens(prompt) | ||
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def run( | ||
self, | ||
messages, | ||
): | ||
r"""Run inference of Anthropic chat completion. | ||
Args: | ||
messages (List[Dict]): Message list with the chat history | ||
in OpenAI API format. | ||
Returns: | ||
Dict[str, Any]: Response in the OpenAI API format. | ||
""" | ||
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if messages[0]["role"] == "system": | ||
sys_msg = messages.pop(0)["content"] # type: ignore | ||
else: | ||
sys_msg = NOT_GIVEN | ||
response = self.client.messages.create( # type: ignore | ||
model=self.model_type.value, system=sys_msg, messages=messages, | ||
**self.model_config_dict) | ||
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# format response to openai format | ||
response = self._convert_response_from_anthropic_to_openai(response) | ||
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return response | ||
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def check_model_config(self): | ||
r"""Check whether the model configuration is valid for anthropic | ||
model backends. | ||
Raises: | ||
ValueError: If the model configuration dictionary contains any | ||
unexpected arguments to OpenAI API, or it does not contain | ||
:obj:`model_path` or :obj:`server_url`. | ||
""" | ||
for param in self.model_config_dict: | ||
if param not in ANTHROPIC_API_PARAMS: | ||
raise ValueError(f"Unexpected argument `{param}` is " | ||
"input into Anthropic model backend.") | ||
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@property | ||
def stream(self) -> bool: | ||
r"""Returns whether the model is in stream mode, | ||
which sends partial results each time. | ||
Returns: | ||
bool: Whether the model is in stream mode. | ||
""" | ||
return self.model_config_dict.get("stream", False) |
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