""" 百度文心一言适配器 """ import httpx import json from typing import Optional from ..base_adapter import BaseLLMAdapter from ..types import LLMConfig, LLMRequest, LLMResponse, LLMError class BaiduAdapter(BaseLLMAdapter): """百度文心一言API适配器""" # 模型名称到API端点的映射 MODEL_ENDPOINTS = { "ERNIE-4.0": "completions_pro", "ERNIE-3.5-8K": "completions", "ERNIE-3.5-128K": "ernie-3.5-128k", "ERNIE-Speed": "ernie_speed", "ERNIE-Lite": "ernie-lite-8k", } def __init__(self, config: LLMConfig): super().__init__(config) self._access_token: Optional[str] = None self._base_url = config.base_url or "https://aip.baidubce.com" async def _get_access_token(self) -> str: """获取百度API的access_token 注意:百度API使用API Key和Secret Key来获取access_token 这里假设api_key格式为: "api_key:secret_key" """ if self._access_token: return self._access_token # 解析API Key和Secret Key if ":" not in self.config.api_key: raise LLMError( "百度API需要同时提供API Key和Secret Key,格式:api_key:secret_key", provider="baidu" ) api_key, secret_key = self.config.api_key.split(":", 1) url = f"{self._base_url}/oauth/2.0/token" params = { "grant_type": "client_credentials", "client_id": api_key, "client_secret": secret_key, } async with httpx.AsyncClient(timeout=30) as client: response = await client.post(url, params=params) if response.status_code != 200: raise LLMError( f"获取百度access_token失败: {response.text}", provider="baidu", status_code=response.status_code ) data = response.json() self._access_token = data.get("access_token") if not self._access_token: raise LLMError( f"百度API返回的access_token为空: {response.text}", provider="baidu" ) return self._access_token async def _do_complete(self, request: LLMRequest) -> LLMResponse: """执行实际的API调用""" access_token = await self._get_access_token() # 获取模型对应的API端点 model = self.config.model or "ERNIE-3.5-8K" endpoint = self.MODEL_ENDPOINTS.get(model, "completions") url = f"{self._base_url}/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/{endpoint}?access_token={access_token}" messages = [{"role": m.role, "content": m.content} for m in request.messages] payload = { "messages": messages, "temperature": request.temperature or self.config.temperature, "top_p": request.top_p or self.config.top_p, } if request.max_tokens or self.config.max_tokens: payload["max_output_tokens"] = request.max_tokens or self.config.max_tokens async with httpx.AsyncClient(timeout=self.config.timeout) as client: response = await client.post( url, json=payload, headers={"Content-Type": "application/json"} ) if response.status_code != 200: raise LLMError( f"百度API错误: {response.text}", provider="baidu", status_code=response.status_code ) data = response.json() if "error_code" in data: raise LLMError( f"百度API错误: {data.get('error_msg', '未知错误')}", provider="baidu", status_code=data.get("error_code") ) return LLMResponse( content=data.get("result", ""), model=model, usage=data.get("usage"), finish_reason=data.get("finish_reason") ) async def validate_config(self) -> bool: """验证配置是否有效""" try: await self._get_access_token() return True except Exception: return False def get_provider(self) -> str: return "baidu" def get_model(self) -> str: return self.config.model or "ERNIE-3.5-8K"