diff --git a/data/chroma/kb_3/8aa4b792-80c2-4a03-a4d0-c024eeb961c9/data_level0.bin b/data/chroma/kb_3/8aa4b792-80c2-4a03-a4d0-c024eeb961c9/data_level0.bin
index 0ff0149..7654f2d 100644
Binary files a/data/chroma/kb_3/8aa4b792-80c2-4a03-a4d0-c024eeb961c9/data_level0.bin and b/data/chroma/kb_3/8aa4b792-80c2-4a03-a4d0-c024eeb961c9/data_level0.bin differ
diff --git a/data/chroma/kb_3/chroma.sqlite3 b/data/chroma/kb_3/chroma.sqlite3
index af6e5fa..1a0a231 100644
Binary files a/data/chroma/kb_3/chroma.sqlite3 and b/data/chroma/kb_3/chroma.sqlite3 differ
diff --git a/th_agenter/services/llm_service.py b/th_agenter/services/llm_service.py
index 466d9c5..1dc560e 100644
--- a/th_agenter/services/llm_service.py
+++ b/th_agenter/services/llm_service.py
@@ -22,12 +22,34 @@ class LLMService:
         max_tokens: Optional[int] = None
     ) -> str:
         """调用大模型进行对话完成"""
+        # 处理 base_url：如果包含 /chat/completions，需要移除
+        base_url = model_config.base_url
+        if base_url and '/chat/completions' in base_url:
+            # 移除 /chat/completions 后缀，ChatOpenAI 会自动添加
+            base_url = base_url.replace('/chat/completions', '').rstrip('/')
+            logger.debug(f"调整 base_url: {model_config.base_url} -> {base_url}")
+        
+        # 处理 SiliconFlow 的模型名称格式
+        model_name = model_config.model_name
+        if 'siliconflow' in (base_url or '').lower() and '/' not in model_name:
+            # SiliconFlow 需要 org/model 格式，尝试自动转换
+            model_name_lower = model_name.lower()
+            if 'deepseek' in model_name_lower or 'r1' in model_name_lower:
+                # 尝试常见的 DeepSeek 模型格式
+                if 'r1' in model_name_lower:
+                    model_name = 'deepseek-ai/DeepSeek-R1'
+                elif 'v3' in model_name_lower:
+                    model_name = 'deepseek-ai/DeepSeek-V3'
+                else:
+                    model_name = f'deepseek-ai/{model_name}'
+                logger.debug(f"调整 SiliconFlow 模型名称: {model_config.model_name} -> {model_name}")
+        
         try:
             # 创建LangChain ChatOpenAI实例
             llm = ChatOpenAI(
-                model=model_config.model_name,
+                model=model_name,
                 api_key=model_config.api_key,
-                base_url=model_config.base_url,
+                base_url=base_url,
                 temperature=temperature or model_config.temperature,
                 max_tokens=max_tokens or model_config.max_tokens,
                 streaming=False
@@ -53,8 +75,41 @@ class LLMService:
             return response.content
             
         except Exception as e:
-            logger.error(f"LLM调用失败: {str(e)}")
-            raise Exception(f"LLM调用失败: {str(e)}")
+            # 提取详细的错误信息
+            error_detail = str(e)
+            
+            # 尝试从异常对象中提取更多信息
+            if hasattr(e, 'response'):
+                # HTTP 响应错误
+                if hasattr(e.response, 'status_code'):
+                    error_detail = f"HTTP {e.response.status_code}: {error_detail}"
+                if hasattr(e.response, 'text'):
+                    try:
+                        import json
+                        error_body = json.loads(e.response.text)
+                        if isinstance(error_body, dict):
+                            if 'message' in error_body:
+                                error_detail = f"{error_detail} - {error_body['message']}"
+                            if 'error' in error_body:
+                                error_info = error_body['error']
+                                if isinstance(error_info, dict) and 'message' in error_info:
+                                    error_detail = f"{error_detail} - {error_info['message']}"
+                    except:
+                        pass
+            
+            # 添加模型配置信息到错误消息中（使用处理后的配置）
+            model_info = f"模型: {model_name}, base_url: {base_url}"
+            if 'Not Found' in error_detail or '404' in error_detail:
+                error_detail = f"{error_detail} ({model_info})。可能的原因：1) 模型名称格式不正确（SiliconFlow需要org/model格式，如deepseek-ai/DeepSeek-R1）；2) base_url配置错误；3) API端点不存在"
+            elif '403' in error_detail or 'account balance' in error_detail.lower() or 'insufficient' in error_detail.lower():
+                error_detail = f"{error_detail} ({model_info})。可能的原因：账户余额不足或API密钥权限不足"
+            elif '401' in error_detail or 'authentication' in error_detail.lower():
+                error_detail = f"{error_detail} ({model_info})。可能的原因：API密钥无效或已过期"
+            else:
+                error_detail = f"{error_detail} ({model_info})"
+            
+            logger.error(f"LLM调用失败: {error_detail}")
+            raise Exception(f"LLM调用失败: {error_detail}")
     
     async def chat_completion_stream(
         self,
diff --git a/th_agenter/services/workflow_engine.py b/th_agenter/services/workflow_engine.py
index f786961..81ba93d 100644
--- a/th_agenter/services/workflow_engine.py
+++ b/th_agenter/services/workflow_engine.py
@@ -831,7 +831,23 @@ class WorkflowEngine:
             
         except Exception as e:
             error_msg = str(e)
-            logger.error(f"LLM调用失败: {error_msg}")
+            # LLMService 已经添加了详细的错误信息（包括处理后的模型名称和base_url），直接使用
+            # 如果错误信息中已经包含了模型信息，就不再重复添加
+            detailed_error = error_msg
+            
+            # 如果错误信息中还没有包含模型配置信息，则添加（使用原始配置作为补充）
+            if "使用的模型:" not in error_msg and "模型:" not in error_msg:
+                model_info = f"使用的模型: {llm_config.model_name} (ID: {llm_config.id}), base_url: {llm_config.base_url}"
+                if "Not Found" in error_msg or "404" in error_msg:
+                    detailed_error = f"{detailed_error}。{model_info}。可能的原因：1) 模型名称格式不正确（SiliconFlow需要org/model格式）；2) base_url配置错误；3) API端点不存在"
+                elif "403" in error_msg or "account balance" in error_msg.lower() or "insufficient" in error_msg.lower():
+                    detailed_error = f"{detailed_error}。{model_info}。可能的原因：账户余额不足或API密钥权限不足"
+                elif "401" in error_msg or "authentication" in error_msg.lower():
+                    detailed_error = f"{detailed_error}。{model_info}。可能的原因：API密钥无效或已过期"
+                else:
+                    detailed_error = f"{detailed_error}。{model_info}"
+            
+            logger.error(f"LLM调用失败: {detailed_error}")
             
             # 如果当前使用的不是默认模型，并且错误包含 Not Found / 404，则尝试回退到默认模型再调用一次
             if (not used_default_model) and ("Not Found" in error_msg or "404" in error_msg):
@@ -863,7 +879,7 @@ class WorkflowEngine:
                     logger.error(f"使用默认模型重试LLM调用失败: {str(fallback_error)}")
                     # 继续向下抛出原始错误
             
-            raise ValueError(f"LLM调用失败: {error_msg}")
+            raise ValueError(f"LLM调用失败: {detailed_error}")
     
     def _substitute_variables(self, template: str, input_data: Dict[str, Any]) -> str:
         """变量替换函数"""