更新API密钥管理逻辑，优化意图识别示例，增强Excel数据验证功能，移除冗余名词条目，更新多个二进制索引文件

rag2_0/tool/ModelTool.py

@@ -165,20 +165,23 @@ class OpenAiLLM:
                 except Exception as e:
                     retry_count += 1
                     if retry_count == max_retries:
-                        raise RuntimeError(f"调用LLM失败，已重试{max_retries}次: {str(e)}")
+                        raise RuntimeError(f"OpenAiLLM:invoke:error:{str(e)}.api_key:{api_key}") from e
                     else:
                         time.sleep(5*retry_count)  # 重试前等待5秒*重试次数
         else:
-            # 创建 Completion 请求. 超时120s
-            api_key = APIKeyManager.get_api_key()  
-            # 使用with语句创建客户端，确保资源会被正确释放
-            with OpenAI(api_key=api_key, base_url=self._url) as client:
-                completion = client.chat.completions.create(
-                    model=self._model,
-                    messages=[{'role': 'user', 'content': user_prompt}],
-                    **self._kwargs
-                )
-                return completion.choices[0].message
+            try:
+                # 创建 Completion 请求. 超时120s
+                api_key = APIKeyManager.get_api_key()  
+                # 使用with语句创建客户端，确保资源会被正确释放
+                with OpenAI(api_key=api_key, base_url=self._url) as client:
+                    completion = client.chat.completions.create(
+                        model=self._model,
+                        messages=[{'role': 'user', 'content': user_prompt}],
+                        **self._kwargs
+                    )
+                    return completion.choices[0].message
+            except Exception as e:
+                raise RuntimeError(f"OpenAiLLM:invoke:error:{str(e)}.api_key:{api_key}") from e
 
 if __name__ == "__main__":
     # 测试重排模型