suport dataset_ids

fastapi_app.py

@@ -419,23 +419,25 @@ 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 (required list), required bot_id, system_prompt, mcp_settings, and files
+        request: ChatRequest containing messages, model, dataset_ids (optional list), required bot_id, system_prompt, mcp_settings, and files
         authorization: Authorization header containing API key (Bearer <API_KEY>)
         
     Returns:
         Union[ChatResponse, StreamingResponse]: Chat completion response or stream
 
     Notes:
-        - dataset_ids: 必需参数，必须是项目ID列表（单个项目也使用数组格式）
+        - 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
-        - 所有请求都会创建机器人项目目录：projects/robot/{bot_id}/
+        - 只有当提供 dataset_ids 时才会创建机器人项目目录：projects/robot/{bot_id}/
         - 支持多知识库合并，自动处理文件夹重名冲突
 
     Required 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）
         - bot_id: str - 目标机器人项目ID
+    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）
 
     Example:
+        {"bot_id": "my-bot-001"}
         {"dataset_ids": ["project-123"], "bot_id": "my-bot-001"}
         {"dataset_ids": ["project-123", "project-456"], "bot_id": "my-bot-002"}
     """
@@ -449,17 +451,17 @@ async def chat_completions(request: ChatRequest, authorization: Optional[str] =
             else:
                 api_key = authorization
         
-        # 获取dataset_ids（必需参数，必须是数组）
-        dataset_ids_list = request.dataset_ids
-        if not dataset_ids_list:
-            raise HTTPException(status_code=400, detail="dataset_ids is required and must be a non-empty list")
-        
         # 获取bot_id（必需参数）
         bot_id = request.bot_id
         if not bot_id:
             raise HTTPException(status_code=400, detail="bot_id is required")
 
-        # 创建机器人目录并合并数据
+        # 获取dataset_ids（可选参数，当提供时必须是数组）
+        dataset_ids_list = request.dataset_ids
+        project_dir = None
+        
+        # 只有当提供了 dataset_ids 时才创建机器人目录并合并数据
+        if dataset_ids_list and len(dataset_ids_list) > 0:
             from utils.multi_project_manager import create_robot_project
             project_dir = create_robot_project(dataset_ids_list, bot_id)
         

utils/file_loaded_agent_manager.py

@@ -92,7 +92,7 @@ class FileLoadedAgentManager:
     
     async def get_or_create_agent(self, 
                                  bot_id: str,
-                                 project_dir: str,
+                                 project_dir: Optional[str],
                                  model_name: str = "qwen3-next",
                                  api_key: Optional[str] = None,
                                  model_server: Optional[str] = None,
@@ -105,7 +105,7 @@ class FileLoadedAgentManager:
         
         Args:
             bot_id: 项目的唯一标识符
-            project_dir: 项目目录路径，用于读取system_prompt.md和mcp_settings.json
+            project_dir: 项目目录路径，用于读取system_prompt.md和mcp_settings.json，可以为None
             model_name: 模型名称
             api_key: API 密钥
             model_server: 模型服务器地址

utils/prompt_loader.py

@@ -25,7 +25,7 @@ def load_system_prompt(project_dir: str, language: str = None, system_prompt: st
         优先使用项目目录的system_prompt_catalog_agent.md，没有才使用默认的system_prompt_default.md
 
         Args:
-            project_dir: 项目目录路径
+            project_dir: 项目目录路径，可以为None
             language: 语言代码，如 'zh', 'en', 'jp' 等（此参数将被忽略）
             system_prompt: 可选的系统提示词，优先级高于项目配置
             robot_type: 机器人类型，取值 AGENT/CATALOG_AGENT
@@ -45,6 +45,8 @@ def load_system_prompt(project_dir: str, language: str = None, system_prompt: st
             system_prompt_default = None
 
         readme = ""
+        # 只有当 project_dir 不为 None 时才尝试读取 README.md
+        if project_dir is not None:
             readme_path = os.path.join(project_dir, "README.md")
             if os.path.exists(readme_path):
                 with open(readme_path, "r", encoding="utf-8") as f:
@@ -154,8 +156,10 @@ def load_mcp_settings(project_dir: str, mcp_settings: list=None, bot_id: str="",
         merged_settings = [merged_settings] if merged_settings else []
 
     # 计算 dataset_dir 用于替换 MCP 配置中的占位符
-    dataset_dir = os.path.join(project_dir, "dataset")
+    # 只有当 project_dir 不为 None 时才计算 dataset_dir
+    dataset_dir = os.path.join(project_dir, "dataset") if project_dir is not None else None
     # 替换 MCP 配置中的 {dataset_dir} 占位符
+    if dataset_dir is not None:
         merged_settings = replace_mcp_placeholders(merged_settings, dataset_dir, bot_id)
     return merged_settings