独立依赖

services/llm.py

@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import logging
-import os
 import re
 from typing import Optional
 from collections import deque
@@ -21,23 +20,6 @@ class LLMService:
         self._history: deque[dict] = deque(maxlen=12)  # 6 turns (user+assistant)
         self._system_prompt = (settings.llm_system_prompt or "").strip() or "请用中文口语化简短回复，1-2句。"
 
-        if not settings.llm_api_key:
-            self._error = "missing LLM api key: set LLM_API_KEY or DEEPSEEK_API_KEY"
-            return
-
-        # If DeepSeek key is provided but no explicit base URL override,
-        # route to DeepSeek-compatible OpenAI endpoint by default.
-        if (
-            os.getenv("DEEPSEEK_API_KEY")
-            and not os.getenv("LLM_BASE_URL")
-            and not os.getenv("DEEPSEEK_BASE_URL")
-            and (self._base_url.lower() == "https://api.openai.com/v1" or not self._base_url)
-        ):
-            self._base_url = "https://api.deepseek.com/v1"
-
-        if not self._model:
-            base = self._base_url.lower()
-            self._model = "deepseek-chat" if "deepseek" in base else "gpt-4o-mini"
         try:
             from openai import AsyncOpenAI
 
@@ -50,7 +32,7 @@ class LLMService:
             self._error = None
         except Exception as exc:  # pragma: no cover
             self._error = str(exc)
-            logger.warning("LLM online mode unavailable: %s", exc)
+            logger.warning("LLM client init failed: %s", exc)
 
     @staticmethod
     def _normalize_reply_text(text: str) -> str:
@@ -70,7 +52,7 @@ class LLMService:
 
     async def reply_with_meta(self, text: str) -> tuple[str, str]:
         if not self._ready or self._client is None:
-            return f"收到：{text}。这是本地兜底回复。", "fallback"
+            return "", "unavailable"
 
         try:
             resp = await self._client.chat.completions.create(
@@ -86,9 +68,9 @@ class LLMService:
                 return content, "online"
         except Exception as exc:  # pragma: no cover
             self._error = str(exc)
-            logger.warning("LLM request failed, fallback used: %s", exc)
+            logger.warning("LLM request failed: %s", exc)
 
-        return f"收到：{text}。这是本地兜底回复。", "fallback"
+        return "", "error"
 
     async def reply(self, text: str) -> str:
         content, _ = await self.reply_with_meta(text)