fix(kb-deep-analyzer): 修复环境变量传递问题

- generate() 每次调用时重新读取环境变量
- AI 调用方法接受 api_key, model, base_url 参数
- 解决 exec 工具中环境变量未传递的问题

skills/kb-deep-analyzer/deep_analyzer.py

@@ -63,20 +63,26 @@ class SimpleAIClient:
 
     def generate(self, prompt: str, max_tokens: int = 1000) -> str:
         """生成文本，支持重试"""
-        if not self.api_key:
+        # 每次调用时重新读取环境变量，解决 exec 传递问题
+        api_key = os.environ.get("AI_API_KEY", self.api_key)
+        provider = os.environ.get("AI_PROVIDER", self.provider)
+        model = os.environ.get("AI_MODEL", self.model)
+        base_url = os.environ.get("AI_BASE_URL", self.base_url)
+        
+        if not api_key:
             raise ValueError("AI_API_KEY 未设置，请配置环境变量")
 
         last_error = None
         for attempt in range(self.max_retries):
             try:
-                if self.provider == "openai":
+                if provider == "openai":
-                    return self._call_openai(prompt, max_tokens)
+                    return self._call_openai(prompt, max_tokens, api_key, model, base_url)
-                elif self.provider == "zhipu":
+                elif provider == "zhipu":
-                    return self._call_zhipu(prompt, max_tokens)
+                    return self._call_zhipu(prompt, max_tokens, api_key, model, base_url)
-                elif self.provider == "minimax":
+                elif provider == "minimax":
-                    return self._call_minimax(prompt, max_tokens)
+                    return self._call_minimax(prompt, max_tokens, api_key, model, base_url)
                 else:
-                    raise ValueError(f"不支持的 AI 提供商: {self.provider}")
+                    raise ValueError(f"不支持的 AI 提供商: {provider}")
             except Exception as e:
                 last_error = e
                 if attempt < self.max_retries - 1:
@@ -95,7 +101,7 @@ class SimpleAIClient:
             # 尝试从文本中提取 JSON
             return self._parse_json_from_text(response)
 
-    def _call_openai(self, prompt: str, max_tokens: int) -> str:
+    def _call_openai(self, prompt: str, max_tokens: int, api_key: str = None, model: str = None, base_url: str = None) -> str:
         """调用 OpenAI API"""
         import requests
         url = f"{self.base_url}/chat/completions" if self.base_url else "https://api.openai.com/v1/chat/completions"
@@ -113,9 +119,10 @@ class SimpleAIClient:
 
         response = requests.post(url, headers=headers, json=payload, timeout=120)
         response.raise_for_status()
+        response.raise_for_status()
         return response.json()['choices'][0]['message']['content']
 
-    def _call_zhipu(self, prompt: str, max_tokens: int) -> str:
+    def _call_zhipu(self, prompt: str, max_tokens: int, api_key: str = None, model: str = None, base_url: str = None) -> str:
         """调用智谱 AI API - 返回 reasoning_content"""
         import requests
         base_url = self.base_url or "https://open.bigmodel.cn/api/coding/paas/v4"
@@ -130,6 +137,7 @@ class SimpleAIClient:
 
         response = requests.post(url, headers=headers, json=payload, timeout=120)
         response.raise_for_status()
+        response.raise_for_status()
         data = response.json()
         
         message = data.get('choices', [{}])[0].get('message', {})
@@ -173,7 +181,7 @@ class SimpleAIClient:
         
         return {'raw_response': text}
 
-    def _call_minimax(self, prompt: str, max_tokens: int) -> str:
+    def _call_minimax(self, prompt: str, max_tokens: int, api_key: str = None, model: str = None, base_url: str = None) -> str:
         """调用 MiniMax API"""
         import requests
         url = self.base_url or "https://api.minimaxi.com/anthropic/v1/messages"
@@ -191,6 +199,7 @@ class SimpleAIClient:
 
         response = requests.post(url, headers=headers, json=payload, timeout=120)
         response.raise_for_status()
+        response.raise_for_status()
         data = response.json()
         for item in data.get('content', []):
             if item.get('type') == 'text':