150 lines
5.1 KiB
Python
150 lines
5.1 KiB
Python
"""
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百度文心一言适配器
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"""
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import httpx
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from typing import Optional
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from ..base_adapter import BaseLLMAdapter
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from ..types import LLMConfig, LLMRequest, LLMResponse, LLMError, LLMProvider, LLMUsage
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class BaiduAdapter(BaseLLMAdapter):
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"""百度文心一言API适配器"""
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# 模型名称到API端点的映射
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MODEL_ENDPOINTS = {
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"ERNIE-4.0": "completions_pro",
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"ERNIE-3.5-8K": "completions",
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"ERNIE-3.5-128K": "ernie-3.5-128k",
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"ERNIE-Speed": "ernie_speed",
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"ERNIE-Lite": "ernie-lite-8k",
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}
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def __init__(self, config: LLMConfig):
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super().__init__(config)
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self._access_token: Optional[str] = None
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self._base_url = config.base_url or "https://aip.baidubce.com"
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async def _get_access_token(self) -> str:
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"""获取百度API的access_token
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注意：百度API使用API Key和Secret Key来获取access_token
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这里假设api_key格式为: "api_key:secret_key"
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"""
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if self._access_token:
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return self._access_token
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# 解析API Key和Secret Key
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if ":" not in self.config.api_key:
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raise LLMError(
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"百度API需要同时提供API Key和Secret Key，格式：api_key:secret_key",
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provider="baidu"
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)
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api_key, secret_key = self.config.api_key.split(":", 1)
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url = f"{self._base_url}/oauth/2.0/token"
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params = {
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"grant_type": "client_credentials",
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"client_id": api_key,
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"client_secret": secret_key,
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}
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async with httpx.AsyncClient(timeout=30) as client:
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response = await client.post(url, params=params)
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if response.status_code != 200:
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raise LLMError(
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f"获取百度access_token失败: {response.text}",
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provider="baidu",
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status_code=response.status_code
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)
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data = response.json()
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self._access_token = data.get("access_token")
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if not self._access_token:
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raise LLMError(
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f"百度API返回的access_token为空: {response.text}",
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provider="baidu"
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)
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return self._access_token
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async def complete(self, request: LLMRequest) -> LLMResponse:
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"""执行实际的API调用"""
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try:
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await self.validate_config()
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return await self.retry(lambda: self._send_request(request))
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except Exception as error:
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self.handle_error(error, "百度文心一言 API调用失败")
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async def _send_request(self, request: LLMRequest) -> LLMResponse:
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"""发送请求"""
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access_token = await self._get_access_token()
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# 获取模型对应的API端点
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model = self.config.model or "ERNIE-3.5-8K"
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endpoint = self.MODEL_ENDPOINTS.get(model, "completions")
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url = f"{self._base_url}/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/{endpoint}?access_token={access_token}"
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messages = [{"role": m.role, "content": m.content} for m in request.messages]
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payload = {
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"messages": messages,
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"temperature": request.temperature if request.temperature is not None else self.config.temperature,
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"top_p": request.top_p if request.top_p is not None else self.config.top_p,
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}
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if request.max_tokens or self.config.max_tokens:
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payload["max_output_tokens"] = request.max_tokens or self.config.max_tokens
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response = await self.client.post(
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url,
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headers=self.build_headers(),
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json=payload
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)
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if response.status_code != 200:
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error_data = response.json() if response.text else {}
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error_msg = error_data.get("error_msg", f"HTTP {response.status_code}")
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raise Exception(f"{error_msg}")
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data = response.json()
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if "error_code" in data:
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raise Exception(f"百度API错误: {data.get('error_msg', '未知错误')}")
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usage = None
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if "usage" in data:
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usage = LLMUsage(
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prompt_tokens=data["usage"].get("prompt_tokens", 0),
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completion_tokens=data["usage"].get("completion_tokens", 0),
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total_tokens=data["usage"].get("total_tokens", 0)
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)
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return LLMResponse(
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content=data.get("result", ""),
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model=model,
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usage=usage,
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finish_reason=data.get("finish_reason")
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)
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async def validate_config(self) -> bool:
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"""验证配置是否有效"""
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if not self.config.api_key:
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raise LLMError(
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"API Key未配置",
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provider=LLMProvider.BAIDU
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)
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if ":" not in self.config.api_key:
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raise LLMError(
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"百度API需要同时提供API Key和Secret Key，格式：api_key:secret_key",
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provider=LLMProvider.BAIDU
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)
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return True
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