修改robot目录窗口逻辑

fastapi_app.py

@@ -709,7 +709,7 @@ async def chat_completions(request: ChatRequest, authorization: Optional[str] =
     Chat completions API similar to OpenAI, supports both streaming and non-streaming
     
     Args:
-        request: ChatRequest containing messages, model, dataset_ids (optional list), required bot_id, system_prompt, mcp_settings, and files
+        request: ChatRequest containing messages, model, optional dataset_ids list, required bot_id, system_prompt, mcp_settings, and files
         authorization: Authorization header containing API key (Bearer <API_KEY>)
         
     Returns:
@@ -717,19 +717,24 @@ async def chat_completions(request: ChatRequest, authorization: Optional[str] =
 
     Notes:
         - dataset_ids: 可选参数，当提供时必须是项目ID列表（单个项目也使用数组格式）
-        - bot_id: 必需参数，机器人ID，用于创建项目目录
+        - bot_id: 必需参数，机器人ID
-        - 只有当提供 dataset_ids 时才会创建机器人项目目录：projects/robot/{bot_id}/
+        - 只有当 robot_type == "catalog_agent" 且 dataset_ids 为非空数组时才会创建机器人项目目录：projects/robot/{bot_id}/
+        - robot_type 为其他值（包括默认的 "agent"）时不创建任何目录
+        - dataset_ids 为空数组 []、None 或未提供时不创建任何目录
         - 支持多知识库合并，自动处理文件夹重名冲突
 
     Required Parameters:
-        - bot_id: str - 目标机器人项目ID
+        - bot_id: str - 目标机器人ID
+        - messages: List[Message] - 对话消息列表
     Optional Parameters:
         - dataset_ids: List[str] - 源知识库项目ID列表（单个项目也使用数组格式）
+        - robot_type: str - 机器人类型，默认为 "agent"
 
     Example:
-        {"bot_id": "my-bot-001"}
+        {"bot_id": "my-bot-001", "messages": [{"role": "user", "content": "Hello"}]}
-        {"dataset_ids": ["project-123"], "bot_id": "my-bot-001"}
+        {"dataset_ids": ["project-123"], "bot_id": "my-bot-001", "messages": [{"role": "user", "content": "Hello"}]}
-        {"dataset_ids": ["project-123", "project-456"], "bot_id": "my-bot-002"}
+        {"dataset_ids": ["project-123", "project-456"], "bot_id": "my-bot-002", "messages": [{"role": "user", "content": "Hello"}]}
+        {"dataset_ids": ["project-123"], "bot_id": "my-catalog-bot", "robot_type": "catalog_agent", "messages": [{"role": "user", "content": "Hello"}]}
     """
     try:
         # v1接口：从Authorization header中提取API key作为模型API密钥
@@ -740,8 +745,8 @@ async def chat_completions(request: ChatRequest, authorization: Optional[str] =
         if not bot_id:
             raise HTTPException(status_code=400, detail="bot_id is required")
 
-        # 创建项目目录（如果有dataset_ids）
+        # 创建项目目录（如果有dataset_ids且不是agent类型）
-        project_dir = create_project_directory(request.dataset_ids, bot_id)
+        project_dir = create_project_directory(request.dataset_ids, bot_id, request.robot_type)
         
         # 收集额外参数作为 generate_cfg
         exclude_fields = {'messages', 'model', 'model_server', 'dataset_ids', 'language', 'tool_response', 'system_prompt', 'mcp_settings' ,'stream', 'robot_type', 'bot_id'}
@@ -923,9 +928,10 @@ async def create_agent_and_generate_response(
             raise HTTPException(status_code=500, detail="No response from agent")
 
 
-def create_project_directory(dataset_ids: List[str], bot_id: str) -> Optional[str]:
+def create_project_directory(dataset_ids: Optional[List[str]], bot_id: str, robot_type: str = "agent") -> Optional[str]:
     """创建项目目录的公共逻辑"""
-    if not dataset_ids:
+    # 只有当 robot_type == "catalog_agent" 且 dataset_ids 不为空时才创建目录
+    if robot_type != "catalog_agent" or not dataset_ids or len(dataset_ids) == 0:
         return None
 
     try:
@@ -1014,7 +1020,11 @@ async def chat_completions_v2(request: ChatRequestV2, authorization: Optional[st
         api_key = bot_config.get("api_key")
 
         # 创建项目目录（从后端配置获取dataset_ids）
-        project_dir = create_project_directory(bot_config.get("dataset_ids", []), bot_id)
+        project_dir = create_project_directory(
+            bot_config.get("dataset_ids", []),
+            bot_id,
+            bot_config.get("robot_type", "agent")
+        )
 
         # 处理消息
         messages = process_messages(request.messages, request.language)

utils/api_models.py

@@ -43,7 +43,7 @@ class ChatRequest(BaseModel):
     messages: List[Message]
     model: str = "qwen3-next"
     model_server: str = ""
-    dataset_ids: List[str]
+    dataset_ids: Optional[List[str]] = None
     bot_id: str
     stream: Optional[bool] = False
     language: Optional[str] = "ja"