89 lines
3.1 KiB
Python
89 lines
3.1 KiB
Python
"""
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MiniMax适配器
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"""
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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 MinimaxAdapter(BaseLLMAdapter):
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"""MiniMax API适配器"""
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def __init__(self, config: LLMConfig):
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super().__init__(config)
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self._base_url = config.base_url or "https://api.minimax.chat/v1"
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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, "MiniMax 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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url = f"{self._base_url}/text/chatcompletion_v2"
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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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"model": self.config.model or "abab6.5-chat",
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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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"max_tokens": request.max_tokens if request.max_tokens is not None else self.config.max_tokens,
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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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headers = {
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"Authorization": f"Bearer {self.config.api_key}",
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}
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response = await self.client.post(
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url,
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headers=self.build_headers(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("base_resp", {}).get("status_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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# MiniMax 特殊的错误处理
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if data.get("base_resp", {}).get("status_code") != 0:
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error_msg = data.get("base_resp", {}).get("status_msg", "未知错误")
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raise Exception(f"MiniMax API错误: {error_msg}")
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choice = data.get("choices", [{}])[0]
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if not choice:
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raise Exception("API响应格式异常: 缺少choices字段")
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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=choice.get("message", {}).get("content", ""),
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model=data.get("model"),
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usage=usage,
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finish_reason=choice.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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await super().validate_config()
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if not self.config.model:
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raise LLMError("未指定MiniMax模型", provider=LLMProvider.MINIMAX)
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return True
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