""" 字节跳动豆包适配器 """ from ..base_adapter import BaseLLMAdapter from ..types import LLMConfig, LLMRequest, LLMResponse, LLMError, LLMProvider, LLMUsage class DoubaoAdapter(BaseLLMAdapter): """字节跳动豆包API适配器 豆包使用OpenAI兼容的API格式 """ def __init__(self, config: LLMConfig): super().__init__(config) self._base_url = config.base_url or "https://ark.cn-beijing.volces.com/api/v3" async def complete(self, request: LLMRequest) -> LLMResponse: """执行实际的API调用""" try: await self.validate_config() return await self.retry(lambda: self._send_request(request)) except Exception as error: api_response = getattr(error, 'api_response', None) self.handle_error(error, "豆包 API调用失败", api_response=api_response) async def _send_request(self, request: LLMRequest) -> LLMResponse: """发送请求""" url = f"{self._base_url}/chat/completions" messages = [{"role": m.role, "content": m.content} for m in request.messages] payload = { "model": self.config.model or "doubao-pro-32k", "messages": messages, "temperature": request.temperature if request.temperature is not None else self.config.temperature, "max_tokens": request.max_tokens if request.max_tokens is not None else self.config.max_tokens, "top_p": request.top_p if request.top_p is not None else self.config.top_p, } headers = { "Authorization": f"Bearer {self.config.api_key}", } response = await self.client.post( url, headers=self.build_headers(headers), json=payload ) if response.status_code != 200: error_data = response.json() if response.text else {} error_obj = error_data.get("error", {}) error_msg = error_obj.get("message", f"HTTP {response.status_code}") error_code = error_obj.get("code", "") api_response = f"[{error_code}] {error_msg}" if error_code else error_msg err = LLMError(error_msg, self.config.provider, response.status_code, api_response=api_response) raise err data = response.json() choice = data.get("choices", [{}])[0] if not choice: raise Exception("API响应格式异常: 缺少choices字段") usage = None if "usage" in data: usage = LLMUsage( prompt_tokens=data["usage"].get("prompt_tokens", 0), completion_tokens=data["usage"].get("completion_tokens", 0), total_tokens=data["usage"].get("total_tokens", 0) ) return LLMResponse( content=choice.get("message", {}).get("content", ""), model=data.get("model"), usage=usage, finish_reason=choice.get("finish_reason") ) async def validate_config(self) -> bool: """验证配置是否有效""" await super().validate_config() if not self.config.model: raise LLMError("未指定豆包模型", provider=LLMProvider.DOUBAO) return True