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feat: Integrate moonshot models to camel (#1526)
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# ========= Copyright 2023-2024 @ 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 2023-2024 @ CAMEL-AI.org. All Rights Reserved. ========= | ||
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from typing import List, Optional, Union | ||
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from camel.configs.base_config import BaseConfig | ||
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class MoonshotConfig(BaseConfig): | ||
r"""Defines the parameters for generating chat completions using the | ||
Moonshot API. You can refer to the following link for more details: | ||
https://platform.moonshot.cn/docs/api-reference | ||
Args: | ||
temperature (float, optional): Controls randomness in the response. | ||
Lower values make the output more focused and deterministic. | ||
(default: :obj:`0.3`) | ||
max_tokens (int, optional): The maximum number of tokens to generate. | ||
(default: :obj:`None`) | ||
stream (bool, optional): Whether to stream the response. | ||
(default: :obj:`False`) | ||
tools (list, optional): List of tools that the model can use for | ||
function calling. Each tool should be a dictionary containing | ||
type, function name, description, and parameters. | ||
(default: :obj:`None`) | ||
top_p (float, optional): Controls diversity via nucleus sampling. | ||
(default: :obj:`1.0`) | ||
n (int, optional): How many chat completion choices to generate for | ||
each input message. (default: :obj:`1`) | ||
presence_penalty (float, optional): Penalty for new tokens based on | ||
whether they appear in the text so far. | ||
(default: :obj:`0.0`) | ||
frequency_penalty (float, optional): Penalty for new tokens based on | ||
their frequency in the text so far. | ||
(default: :obj:`0.0`) | ||
stop (Optional[Union[str, List[str]]], optional): Up to 4 sequences | ||
where the API will stop generating further tokens. | ||
(default: :obj:`None`) | ||
""" | ||
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temperature: float = 0.3 | ||
max_tokens: Optional[int] = None | ||
stream: bool = False | ||
tools: Optional[list] = None | ||
top_p: float = 1.0 | ||
n: int = 1 | ||
presence_penalty: float = 0.0 | ||
frequency_penalty: float = 0.0 | ||
stop: Optional[Union[str, List[str]]] = None | ||
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MOONSHOT_API_PARAMS = {param for param in MoonshotConfig.model_fields.keys()} |
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# ========= Copyright 2023-2024 @ 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 2023-2024 @ CAMEL-AI.org. All Rights Reserved. ========= | ||
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import os | ||
from typing import Any, Dict, List, Optional, Union | ||
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from openai import OpenAI, Stream | ||
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from camel.configs import MOONSHOT_API_PARAMS, MoonshotConfig | ||
from camel.messages import OpenAIMessage | ||
from camel.models import BaseModelBackend | ||
from camel.types import ( | ||
ChatCompletion, | ||
ChatCompletionChunk, | ||
ModelType, | ||
) | ||
from camel.utils import ( | ||
BaseTokenCounter, | ||
OpenAITokenCounter, | ||
api_keys_required, | ||
) | ||
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class MoonshotModel(BaseModelBackend): | ||
r"""Moonshot API in a unified BaseModelBackend interface. | ||
Args: | ||
model_type (Union[ModelType, str]): Model for which a backend is | ||
created, one of Moonshot series. | ||
model_config_dict (Optional[Dict[str, Any]], optional): A dictionary | ||
that will be fed into :obj:`openai.ChatCompletion.create()`. If | ||
:obj:`None`, :obj:`MoonshotConfig().as_dict()` will be used. | ||
(default: :obj:`None`) | ||
api_key (Optional[str], optional): The API key for authenticating with | ||
the Moonshot service. (default: :obj:`None`) | ||
url (Optional[str], optional): The url to the Moonshot service. | ||
(default: :obj:`https://api.moonshot.cn/v1`) | ||
token_counter (Optional[BaseTokenCounter], optional): Token counter to | ||
use for the model. If not provided, :obj:`OpenAITokenCounter( | ||
ModelType.GPT_4)` will be used. | ||
(default: :obj:`None`) | ||
""" | ||
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@api_keys_required([("api_key", "MOONSHOT_API_KEY")]) | ||
def __init__( | ||
self, | ||
model_type: Union[ModelType, str], | ||
model_config_dict: Optional[Dict[str, Any]] = None, | ||
api_key: Optional[str] = None, | ||
url: Optional[str] = None, | ||
token_counter: Optional[BaseTokenCounter] = None, | ||
) -> None: | ||
if model_config_dict is None: | ||
model_config_dict = MoonshotConfig().as_dict() | ||
api_key = api_key or os.environ.get("MOONSHOT_API_KEY") | ||
url = url or os.environ.get( | ||
"MOONSHOT_API_BASE_URL", | ||
"https://api.moonshot.cn/v1", | ||
) | ||
super().__init__( | ||
model_type, model_config_dict, api_key, url, token_counter | ||
) | ||
self._client = OpenAI( | ||
api_key=self._api_key, | ||
timeout=180, | ||
max_retries=3, | ||
base_url=self._url, | ||
) | ||
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def run( | ||
self, | ||
messages: List[OpenAIMessage], | ||
) -> Union[ChatCompletion, Stream[ChatCompletionChunk]]: | ||
r"""Runs inference of Moonshot chat completion. | ||
Args: | ||
messages (List[OpenAIMessage]): Message list with the chat history | ||
in OpenAI API format. | ||
Returns: | ||
Union[ChatCompletion, Stream[ChatCompletionChunk]]: | ||
`ChatCompletion` in the non-stream mode, or | ||
`Stream[ChatCompletionChunk]` in the stream mode. | ||
""" | ||
response = self._client.chat.completions.create( | ||
messages=messages, | ||
model=self.model_type, | ||
**self.model_config_dict, | ||
) | ||
return response | ||
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@property | ||
def token_counter(self) -> BaseTokenCounter: | ||
r"""Initialize the token counter for the model backend. | ||
Returns: | ||
OpenAITokenCounter: The token counter following the model's | ||
tokenization style. | ||
""" | ||
if not self._token_counter: | ||
self._token_counter = OpenAITokenCounter(ModelType.GPT_4O_MINI) | ||
return self._token_counter | ||
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def check_model_config(self): | ||
r"""Check whether the model configuration contains any | ||
unexpected arguments to Moonshot API. | ||
Raises: | ||
ValueError: If the model configuration dictionary contains any | ||
unexpected arguments to Moonshot API. | ||
""" | ||
for param in self.model_config_dict: | ||
if param not in MOONSHOT_API_PARAMS: | ||
raise ValueError( | ||
f"Unexpected argument `{param}` is " | ||
"input into Moonshot 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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