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79 lines
3.3 KiB
Python
79 lines
3.3 KiB
Python
# ========= Copyright 2023-2026 @ CAMEL-AI.org. All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2023-2026 @ CAMEL-AI.org. All Rights Reserved. =========
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import os
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from typing import Any, Dict, Optional, Union
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from camel.configs import LMStudioConfig
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from camel.models.openai_compatible_model import OpenAICompatibleModel
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from camel.types import ModelType
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from camel.utils import BaseTokenCounter
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class LMStudioModel(OpenAICompatibleModel):
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r"""LLM served by LMStudio in a unified OpenAICompatibleModel interface.
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Args:
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model_type (Union[ModelType, str]): Model for which a backend is
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created.
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model_config_dict (Optional[Dict[str, Any]], optional): A dictionary
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that will be fed into:obj:`openai.ChatCompletion.create()`.
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If:obj:`None`, :obj:`LMStudioConfig().as_dict()` will be used.
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(default: :obj:`None`)
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api_key (Optional[str], optional): The API key for authenticating with
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the model service. LMStudio doesn't need API key, it would be
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ignored if set. (default: :obj:`None`)
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url (Optional[str], optional): The url to the LMStudio service.
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(default: :obj:`None`)
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token_counter (Optional[BaseTokenCounter], optional): Token counter to
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use for the model. If not provided, :obj:`OpenAITokenCounter(
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ModelType.GPT_4O_MINI)` will be used.
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(default: :obj:`None`)
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timeout (Optional[float], optional): The timeout value in seconds for
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API calls. If not provided, will fall back to the MODEL_TIMEOUT
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environment variable or default to 180 seconds.
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(default: :obj:`None`)
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max_retries (int, optional): Maximum number of retries for API calls.
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(default: :obj:`3`)
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**kwargs (Any): Additional arguments to pass to the client
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initialization.
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"""
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def __init__(
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self,
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model_type: Union[ModelType, str],
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model_config_dict: Optional[Dict[str, Any]] = None,
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api_key: Optional[str] = None,
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url: Optional[str] = None,
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token_counter: Optional[BaseTokenCounter] = None,
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timeout: Optional[float] = None,
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max_retries: int = 3,
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**kwargs: Any,
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) -> None:
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if model_config_dict is None:
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model_config_dict = LMStudioConfig().as_dict()
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api_key = "NA"
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url = url or os.environ.get(
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"LMSTUDIO_API_BASE_URL", "http://localhost:1234/v1"
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)
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timeout = timeout or float(os.environ.get("MODEL_TIMEOUT", 180))
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super().__init__(
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model_type,
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model_config_dict,
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api_key,
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url,
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token_counter,
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timeout,
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max_retries=max_retries,
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**kwargs,
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)
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