刘国栋
102 lines
3.3 KiB
Python
102 lines
3.3 KiB
Python
"""
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豆包（字节跳动）聊天模型封装模块
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提供 LangChain 兼容的 ChatDoubao 类
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"""
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from typing import List, Optional, Any
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from langchain_core.language_models.chat_models import BaseChatModel
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from langchain_core.messages import BaseMessage, HumanMessage, AIMessage, SystemMessage
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from langchain_core.outputs import ChatGeneration, ChatResult
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class ChatDoubao(BaseChatModel):
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"""豆包聊天模型封装（LangChain 兼容）"""
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volc_ak: str
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volc_sk: str
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endpoint_id: str
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temperature: float = 0.7
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client: Any = None
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def __init__(self, volc_ak: str, volc_sk: str, endpoint_id: str, temperature: float = 0.7, **kwargs):
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super().__init__(
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volc_ak=volc_ak,
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volc_sk=volc_sk,
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endpoint_id=endpoint_id,
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temperature=temperature,
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**kwargs
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)
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self._init_client()
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def _init_client(self):
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"""初始化 Ark 客户端，尝试多种导入方式"""
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try:
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from volcengine.ark import Ark
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self.client = Ark(ak=self.volc_ak, sk=self.volc_sk)
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except ImportError:
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try:
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from volcenginesdkarkruntime import Ark
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self.client = Ark(ak=self.volc_ak, sk=self.volc_sk)
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except ImportError as e:
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raise ImportError(
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f"豆包初始化失败：缺少依赖库。请运行：pip install 'volcengine-python-sdk[ark]'。错误：{e}"
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)
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def _generate(
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self,
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messages: List[BaseMessage],
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stop: Optional[List[str]] = None,
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run_manager: Optional[Any] = None,
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**kwargs: Any
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) -> ChatResult:
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"""生成聊天响应"""
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volc_messages = []
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for msg in messages:
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if isinstance(msg, SystemMessage):
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volc_messages.append({"role": "system", "content": msg.content})
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elif isinstance(msg, HumanMessage):
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volc_messages.append({"role": "user", "content": msg.content})
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elif isinstance(msg, AIMessage):
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volc_messages.append({"role": "assistant", "content": msg.content})
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else:
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volc_messages.append({"role": "user", "content": str(msg.content)})
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response = self.client.chat.completions.create(
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model=self.endpoint_id,
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messages=volc_messages,
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temperature=self.temperature,
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)
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ai_message = AIMessage(content=response.choices[0].message.content)
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return ChatResult(generations=[ChatGeneration(message=ai_message)])
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@property
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def _llm_type(self) -> str:
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return "doubao"
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def create_chat_doubao(api_key: str, temperature: float = 0.7) -> ChatDoubao:
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"""
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创建豆包聊天模型实例
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Args:
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api_key: 豆包 API Key，格式：access_key:secret_key:endpoint_id
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temperature: 温度参数
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Returns:
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ChatDoubao 实例
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Raises:
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ValueError: API Key 格式错误
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"""
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parts = api_key.split(":")
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if len(parts) < 3:
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raise ValueError("豆包 API Key 格式错误，应为：access_key:secret_key:endpoint_id（用冒号分隔）")
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return ChatDoubao(
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volc_ak=parts[0],
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volc_sk=parts[1],
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endpoint_id=parts[2],
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temperature=temperature
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)
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