diff --git a/src/ai/client.py b/src/ai/client.py
index cc075de..861604d 100644
--- a/src/ai/client.py
+++ b/src/ai/client.py
@@ -187,14 +187,44 @@ class AIClient:
             
             # 准备工具
             tools = None
+            tool_names: List[str] = []
             if use_tools and self.tools.list():
                 tools = self.tools.to_openai_format()
+                tool_names = [tool.name for tool in self.tools.list()]
+
+            logger.info(
+                "LLM请求: "
+                f"user_id={user_id}, use_memory={use_memory}, use_tools={use_tools}, "
+                f"registered_tools={len(tool_names)}, sent_tools={len(tools or [])}, "
+                f"tool_names={self._preview_log_payload(tool_names)}"
+            )
+            logger.info(
+                "LLM输入: "
+                f"user_message={self._preview_log_payload(user_message)}"
+            )
             
             # 调用模型
             if stream:
                 return self._chat_stream(messages, tools, **kwargs)
             else:
                 response = await self.model.chat(messages, tools, **kwargs)
+                response_tool_count = len(response.tool_calls or [])
+                response_tool_names = []
+                for tool_call in response.tool_calls or []:
+                    if isinstance(tool_call, dict):
+                        function_info = tool_call.get("function") or {}
+                        response_tool_names.append(function_info.get("name"))
+                    else:
+                        function_info = getattr(tool_call, "function", None)
+                        response_tool_names.append(
+                            getattr(function_info, "name", None) if function_info else None
+                        )
+                logger.info(
+                    "LLM首轮输出: "
+                    f"tool_calls={response_tool_count}, "
+                    f"tool_names={self._preview_log_payload(response_tool_names)}, "
+                    f"content={self._preview_log_payload(response.content)}"
+                )
                 
                 # 处理工具调用
                 if response.tool_calls:
@@ -312,7 +342,12 @@ class AIClient:
                 ))
 
         # 再次调用模型获取最终响应
-        return await self.model.chat(messages, tools, **kwargs)
+        final_response = await self.model.chat(messages, tools, **kwargs)
+        logger.info(
+            "LLM最终输出: "
+            f"content={self._preview_log_payload(final_response.content)}"
+        )
+        return final_response
 
     def _parse_tool_call(self, tool_call: Any) -> Tuple[Optional[str], Dict[str, Any], Optional[str]]:
         """兼容不同 SDK 返回的工具调用结构。"""
diff --git a/src/ai/models/openai_model.py b/src/ai/models/openai_model.py
index 7645d78..b005fca 100644
--- a/src/ai/models/openai_model.py
+++ b/src/ai/models/openai_model.py
@@ -145,6 +145,20 @@ class OpenAIModel(BaseAIModel):
         params.update(self._build_tool_params(tools))
         params.update(kwargs)
 
+        tool_mode = "none"
+        tool_count = 0
+        if "tools" in params:
+            tool_mode = "tools"
+            tool_count = len(params.get("tools") or [])
+        elif "functions" in params:
+            tool_mode = "functions"
+            tool_count = len(params.get("functions") or [])
+
+        self.logger.info(
+            "OpenAI chat request: "
+            f"model={self.config.model_name}, tool_mode={tool_mode}, tool_count={tool_count}"
+        )
+
         response = await self._create_completion_with_fallback(params, tools)
 
         choice = response.choices[0]