[add] app chat v1

api/app/controllers/app_controller.py

@@ -361,7 +361,8 @@ async def draft_run(
         workspace_id=workspace_id,
         user=current_user
     )
-    if storage_type is None: storage_type = 'neo4j'
+    if storage_type is None: 
+        storage_type = 'neo4j'
     user_rag_memory_id = ''
     if workspace_id:
 
@@ -370,7 +371,8 @@ async def draft_run(
             name="USER_RAG_MERORY",
             workspace_id=workspace_id
         )
-        if knowledge: user_rag_memory_id = str(knowledge.id)
+        if knowledge: 
+            user_rag_memory_id = str(knowledge.id)
 
 
     # 提前验证和准备（在流式响应开始前完成）

api/app/controllers/order_controller.py

@@ -0,0 +1,97 @@
+from fastapi import APIRouter, Depends, status
+from sqlalchemy.orm import Session
+import os
+
+from app.db import get_db
+from app.dependencies import get_current_user
+from app.models.user_model import User
+from app.schemas.order_schema import CreateOrderRequest
+from app.schemas.response_schema import ApiResponse
+from app.services.order_service import get_order_service
+from app.core.logging_config import get_api_logger
+from app.core.response_utils import success, error
+
+# Get API logger
+api_logger = get_api_logger()
+
+router = APIRouter(
+    prefix="/order",
+    tags=["Order"],
+)
+
+
+@router.post("", response_model=ApiResponse)
+async def create_order(
+    order_data: CreateOrderRequest,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user)
+):
+
+    try:
+        api_logger.info(f"User {current_user.id} creating order for product {order_data.product_id}")
+        
+        # Get external API configuration from environment
+        external_api_url = os.getenv("EXTERNAL_ORDER_API_URL")
+        api_key = os.getenv("EXTERNAL_ORDER_API_KEY")
+        
+        # Get order service instance
+        order_service = get_order_service(
+            external_api_url=external_api_url,
+            api_key=api_key
+        )
+        
+        # Forward request to external API
+        result = await order_service.create_order(
+            order_data=order_data,
+            user_id=str(current_user.id)
+        )
+        
+        api_logger.info(f"Order created successfully: {result.get('order_id')}")
+        
+        return success(data=result, msg="Order created successfully")
+    
+    except Exception as e:
+        api_logger.error(f"Failed to create order: {str(e)}", exc_info=True)
+        return error(msg=str(e), code=status.HTTP_500_INTERNAL_SERVER_ERROR)
+
+
+@router.get("/{order_id}", response_model=ApiResponse)
+async def get_order(
+    order_id: str,
+    db: Session = Depends(get_db),
+    current_user: User = Depends(get_current_user)
+):
+    """Get order details from external API
+    
+    Args:
+        order_id: Order ID
+        db: Database session
+        current_user: Current authenticated user
+    
+    Returns:
+        API response with order details
+    """
+    try:
+        api_logger.info(f"User {current_user.id} fetching order {order_id}")
+        
+        # Get external API configuration
+        external_api_url = os.getenv("EXTERNAL_ORDER_API_URL")
+        api_key = os.getenv("EXTERNAL_ORDER_API_KEY")
+        
+        # Get order service instance
+        order_service = get_order_service(
+            external_api_url=external_api_url,
+            api_key=api_key
+        )
+        
+        # Fetch order from external API
+        result = await order_service.get_order(order_id)
+        
+        api_logger.info(f"Order {order_id} fetched successfully")
+        
+        return success(data=result, msg="Order fetched successfully")
+    
+    except Exception as e:
+        api_logger.error(f"Failed to fetch order {order_id}: {str(e)}", exc_info=True)
+        return error(msg=str(e), code=status.HTTP_500_INTERNAL_SERVER_ERROR)
+

api/app/controllers/service/app_api_controller.py

@@ -2,14 +2,30 @@
 import uuid
 from fastapi import APIRouter, Depends, Request, Body
 from sqlalchemy.orm import Session
+from typing import Optional, Annotated
 
+from starlette.responses import StreamingResponse
+
+from app.core.api_key_auth import require_api_key
 from app.db import get_db
 from app.core.response_utils import success
 from app.core.logging_config import get_business_logger
-from app.core.api_key_auth import require_api_key
-from app.schemas.api_key_schema import ApiKeyAuth
+from app.dependencies import get_app_or_workspace
+from app.repositories import knowledge_repository
+from app.schemas import AppChatRequest, conversation_schema
+from app.models.app_model import App
+from app.models.app_model import AppType
+from app.repositories.end_user_repository import EndUserRepository
+from app.core.exceptions import BusinessException
+from app.core.error_codes import BizCode
+from app.services import workspace_service
+from app.services.app_chat_service import AppChatService, get_app_chat_service
+from app.services.app_service import AppService
+from app.services.conversation_service import ConversationService, get_conversation_service
+from app.services.workflow_service import WorkflowService, get_workflow_service
+from app.utils.app_config_utils import dict_to_multi_agent_config,dict_to_agent_config,dict_to_workflow_config
 
-router = APIRouter(prefix="/apps", tags=["V1 - App API"])
+router = APIRouter(prefix="/app", tags=["V1 - App API"])
 logger = get_business_logger()
 
 
@@ -19,28 +35,232 @@ async def list_apps():
     return success(data=[], msg="App API - Coming Soon")
 
 # /v1/apps/{resource_id}/chat
-@router.post("/{resource_id}/chat")
-@require_api_key(scopes=["app"])
-async def chat_with_agent_demo(
-    resource_id: uuid.UUID,
-    request: Request,
-    api_key_auth: ApiKeyAuth = None,
+
+
+# async def chat(
+#     request: Request,
+#     api_key_auth: ApiKeyAuth = None,
+#     db: Session = Depends(get_db),
+#     message: str = Body(..., description="聊天消息内容"),
+# ):
+#     """
+#     Agent 聊天接口demo
+
+#     scopes: 所需的权限范围列表["app", "rag", "memory"]
+
+#     Args:
+#         resource_id: 如果是应用的apikey传的是应用id; 如果是服务的apikey传的是工作空间id
+#         message: 请求参数
+#         request: 声明请求
+#         api_key_auth: 包含验证后的API Key 信息
+#         db: db_session
+#     """
+#     logger.info(f"API Key Auth: {api_key_auth}")
+#     logger.info(f"Resource ID: {resource_id}")
+#     logger.info(f"Message: {message}")
+#     return success(data={"received": True}, msg="消息已接收")
+
+
+def _checkAppConfig(app: App):
+    if app.type == AppType.AGENT:
+        if not app.current_release.config:
+            raise BusinessException("Agent 应用未配置模型", BizCode.AGENT_CONFIG_MISSING)
+    elif app.type == AppType.MULTI_AGENT:
+        if not app.current_release.config:
+            raise BusinessException("Multi-Agent 应用未配置模型", BizCode.AGENT_CONFIG_MISSING)
+    elif app.type == AppType.WORKFLOW:
+        if not app.current_release.config:
+            raise BusinessException("工作流应用未配置模型", BizCode.AGENT_CONFIG_MISSING)
+    else:
+        raise BusinessException("不支持的应用类型", BizCode.AGENT_CONFIG_MISSING)
+
+@router.post("/chat")
+# @require_api_key(scopes=["app"])
+async def chat(
+    payload: AppChatRequest,
+    app: App = Depends(get_app_or_workspace),
     db: Session = Depends(get_db),
-    message: str = Body(..., description="聊天消息内容"),
+    conversation_service: Annotated[ConversationService, Depends(get_conversation_service)] = None,
+    app_chat_service: Annotated[AppChatService, Depends(get_app_chat_service)] = None,
+
 ):
-    """
-    Agent 聊天接口demo
+    other_id = payload.user_id
+    workspace_id = app.workspace_id
+    end_user_repo = EndUserRepository(db)
+    new_end_user = end_user_repo.get_or_create_end_user(
+        app_id=app.id,
+        other_id=other_id,
+        original_user_id=other_id  # Save original user_id to other_id
+    )
+    end_user_id = str(new_end_user.id)
 
-    scopes: 所需的权限范围列表["app", "rag", "memory"]
+    # 提前验证和准备（在流式响应开始前完成）
+    storage_type = workspace_service.get_workspace_storage_type_without_auth(
+        db=db,
+        workspace_id=workspace_id
+    )
+    if storage_type is None:
+        storage_type = 'neo4j'
+    user_rag_memory_id = ''
+    if storage_type == 'rag':
+        if workspace_id:
+            knowledge = knowledge_repository.get_knowledge_by_name(
+                db=db,
+                name="USER_RAG_MERORY",
+                workspace_id=workspace_id
+            )
+            if knowledge:
+                user_rag_memory_id = str(knowledge.id)
+            else:
+                logger.warning(
+                    f"未找到名为 'USER_RAG_MERORY' 的知识库，workspace_id: {workspace_id}，将使用 neo4j 存储")
+                storage_type = 'neo4j'
+        else:
+            logger.warning("workspace_id 为空，无法使用 rag 存储，将使用 neo4j 存储")
+            storage_type = 'neo4j'
+    app_type = app.type
+    # check app config
+    _checkAppConfig(app)
 
-    Args:
-        resource_id: 如果是应用的apikey传的是应用id; 如果是服务的apikey传的是工作空间id
-        message: 请求参数
-        request: 声明请求
-        api_key_auth: 包含验证后的API Key 信息
-        db: db_session
-    """
-    logger.info(f"API Key Auth: {api_key_auth}")
-    logger.info(f"Resource ID: {resource_id}")
-    logger.info(f"Message: {message}")
-    return success(data={"received": True}, msg="消息已接收")
+    # 获取或创建会话（提前验证）
+    conversation = conversation_service.create_or_get_conversation(
+        app_id=app.id,
+        workspace_id=workspace_id,
+        user_id=end_user_id,
+        is_draft=False
+    )
+
+    if app_type == AppType.AGENT:
+        agent_config = dict_to_agent_config(app.current_release.config)
+        # 流式返回
+        if payload.stream:
+            async def event_generator():
+                async for event in app_chat_service.agnet_chat_stream(
+                    message=payload.message,
+                    conversation_id=conversation.id,  # 使用已创建的会话 ID
+                    user_id= end_user_id,  # 转换为字符串
+                    variables=payload.variables,
+                    web_search=payload.web_search,
+                    config=app.current_release.config,
+                    memory=payload.memory,
+                    storage_type=storage_type,
+                    user_rag_memory_id=user_rag_memory_id
+                ):
+                    yield event
+
+            return StreamingResponse(
+                event_generator(),
+                media_type="text/event-stream",
+                headers={
+                    "Cache-Control": "no-cache",
+                    "Connection": "keep-alive",
+                    "X-Accel-Buffering": "no"
+                }
+            )
+
+        # 非流式返回
+        result = await app_chat_service.agnet_chat(
+            message=payload.message,
+            conversation_id=conversation.id,  # 使用已创建的会话 ID
+            user_id=end_user_id,  # 转换为字符串
+            variables=payload.variables,
+            config= agent_config,
+            web_search=payload.web_search,
+            memory=payload.memory,
+            storage_type=storage_type,
+            user_rag_memory_id=user_rag_memory_id
+        )
+        return success(data=conversation_schema.ChatResponse(**result))
+    elif app_type == AppType.MULTI_AGENT:
+        # 多 Agent 流式返回
+        config = dict_to_multi_agent_config(app.current_release.config)
+        if payload.stream:
+            async def event_generator():
+                async for event in app_chat_service.multi_agent_chat_stream(
+
+                    message=payload.message,
+                    conversation_id=conversation.id,  # 使用已创建的会话 ID
+                    user_id=end_user_id,  # 转换为字符串
+                    variables=payload.variables,
+                    config=config,
+                    web_search=payload.web_search,
+                    memory=payload.memory,
+                        storage_type=storage_type,
+                        user_rag_memory_id=user_rag_memory_id
+                ):
+                    yield event
+
+            return StreamingResponse(
+                event_generator(),
+                media_type="text/event-stream",
+                headers={
+                    "Cache-Control": "no-cache",
+                    "Connection": "keep-alive",
+                    "X-Accel-Buffering": "no"
+                }
+            )
+
+        # 多 Agent 非流式返回
+        result = await app_chat_service.multi_agent_chat(
+
+            message=payload.message,
+            conversation_id=conversation.id,  # 使用已创建的会话 ID
+            user_id=end_user_id,  # 转换为字符串
+            variables=payload.variables,
+            config=config,
+            web_search=payload.web_search,
+            memory=payload.memory,
+            storage_type=storage_type,
+            user_rag_memory_id=user_rag_memory_id
+        )
+
+        return success(data=conversation_schema.ChatResponse(**result))
+    elif app_type == AppType.WORKFLOW:
+        # 多 Agent 流式返回
+        config = dict_to_workflow_config(app.current_release.config)
+        if payload.stream:
+            async def event_generator():
+                async for event in app_chat_service.workflow_chat_stream(
+
+                    message=payload.message,
+                    conversation_id=conversation.id,  # 使用已创建的会话 ID
+                    user_id=end_user_id,  # 转换为字符串
+                    variables=payload.variables,
+                    config=config,
+                    web_search=payload.web_search,
+                    memory=payload.memory,
+                        storage_type=storage_type,
+                        user_rag_memory_id=user_rag_memory_id
+                ):
+                    yield event
+
+            return StreamingResponse(
+                event_generator(),
+                media_type="text/event-stream",
+                headers={
+                    "Cache-Control": "no-cache",
+                    "Connection": "keep-alive",
+                    "X-Accel-Buffering": "no"
+                }
+            )
+
+        #  非流式返回
+        result = await app_chat_service.workflow_chat(
+
+            message=payload.message,
+            conversation_id=conversation.id,  # 使用已创建的会话 ID
+            user_id=end_user_id,  # 转换为字符串
+            variables=payload.variables,
+            config=config,
+            web_search=payload.web_search,
+            memory=payload.memory,
+            storage_type=storage_type,
+            user_rag_memory_id=user_rag_memory_id
+        )
+
+        return success(data=conversation_schema.ChatResponse(**result))
+    else:
+        from app.core.exceptions import BusinessException
+        from app.core.error_codes import BizCode
+        raise BusinessException(f"不支持的应用类型: {app_type}", BizCode.APP_TYPE_NOT_SUPPORTED)
+        pass

api/app/controllers/user_controller.py

@@ -1,4 +1,4 @@
-from fastapi import APIRouter, Depends, status
+from fastapi import APIRouter, Depends
 from sqlalchemy.orm import Session
 import uuid
 

api/app/dependencies.py

@@ -1,12 +1,13 @@
 import uuid
 from functools import wraps
 
-from fastapi import Depends, HTTPException, status
+from fastapi import Depends, HTTPException, status, Request
 from fastapi.security import OAuth2PasswordBearer
 from sqlalchemy.orm import Session
 from jose import jwt, JWTError
 
 from app.db import get_db, SessionLocal
+from app.models import App
 from app.schemas import token_schema
 from app.core.config import settings
 from app.core.security import get_token_id
@@ -27,6 +28,51 @@ security_logger = get_security_logger()
 oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
 
 
+class APIKeyExtractor:
+    """
+    Custom dependency to extract API Key from request headers
+    
+    Supports two formats:
+    1. Authorization: Bearer <api_key>
+    2. X-API-Key: <api_key>
+    """
+    
+    async def __call__(self, request: Request) -> str:
+        """Extract API Key from request headers
+        
+        Args:
+            request: FastAPI Request object
+        
+        Returns:
+            API Key string
+        
+        Raises:
+            HTTPException: If API Key is not found
+        """
+        # Try Authorization header first
+        auth_header = request.headers.get("Authorization")
+        if auth_header and " " in auth_header:
+            auth_scheme, auth_token = auth_header.split(" ", 1)
+            if auth_scheme.lower() == "bearer":
+                return auth_token
+        
+        # Try X-API-Key header
+        api_key = request.headers.get("X-API-Key")
+        if api_key:
+            return api_key
+        
+        # No API Key found
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="API Key not found in request headers",
+            headers={"WWW-Authenticate": "Bearer"},
+        )
+
+
+api_key_extractor = APIKeyExtractor()
+
+
+
 async def get_current_user(
         token: str = Depends(oauth2_scheme),
         db: Session = Depends(get_db)
@@ -304,7 +350,7 @@ def workspace_access_guard(get_workspace_id_from_body: bool = False):
       - db: Session = Depends(get_db)
       - user 或 current_user: User = Depends(get_current_user)
       - workspace_id: uuid.UUID （query/path 参数）或 payload: AppCreate（body，含 workspace_id）
-    
+
     支持同步和异步函数。
     """
     import asyncio
@@ -360,7 +406,7 @@ def workspace_access_guard(get_workspace_id_from_body: bool = False):
 def get_uow() -> IUnitOfWork:
     """
     获取工作单元实例
-    
+
     Returns:
         IUnitOfWork: 工作单元实例
     """
@@ -373,7 +419,7 @@ def cur_workspace_access_guard():
     要求端点函数签名包含：
       - db: Session = Depends(get_db)
       - current_user: User = Depends(get_current_user)
-    
+
     支持同步和异步函数。
     """
     import asyncio
@@ -423,10 +469,10 @@ async def get_share_user_id(
 ) -> ShareTokenData:
     """
     从分享访问 token 中获取用户 ID 和 share_token
-    
+
     这个函数用于公开分享的接口，验证访问 token 并返回用户信息
     不需要验证用户是否存在或激活，只需要验证 token 的有效性和 share_token 是否有效
-    
+
     Returns:
         ShareTokenData: 包含 user_id 和 share_token
     """
@@ -469,4 +515,75 @@ async def get_share_user_id(
         raise credentials_exception
 
 
+async def get_app_or_workspace(
+        api_key: str = Depends(api_key_extractor),
+        db: Session = Depends(get_db)
+) -> App | Workspace:
+    """
+    Get App or Workspace from API Key
+    
+    Supports two API Key formats:
+    1. Authorization: Bearer <api_key>
+    2. X-API-Key: <api_key>
+    
+    Args:
+        api_key: API Key extracted from request headers
+        db: Database session
+    
+    Returns:
+        App or Workspace object based on API Key
+    
+    Raises:
+        HTTPException: If API Key is invalid or not found
+    """
+    from app.services.api_key_service import ApiKeyAuthService
+    from app.repositories.app_repository import get_apps_by_id
+    from app.repositories.workspace_repository import get_workspace_by_id
+    
+    credentials_exception = HTTPException(
+        status_code=status.HTTP_401_UNAUTHORIZED,
+        detail="Could not validate API Key",
+        headers={"WWW-Authenticate": "Bearer"},
+    )
+    
+    try:
+        auth_logger.debug(f"Validating API Key: {api_key[:10]}...")
+        
+        # Validate API Key
+        api_key_obj = ApiKeyAuthService.validate_api_key(db, api_key)
+        if not api_key_obj:
+            auth_logger.warning(f"Invalid or expired API Key: {api_key[:10]}...")
+            raise credentials_exception
+        
+        auth_logger.debug(f"API Key validated successfully, type: {api_key_obj.type}")
+        
+        # Return App or Workspace based on API Key type
+        if (api_key_obj.type == "agent" or api_key.type == "multi_agent") and api_key_obj.resource_id:
+            # App API Key
+            app = get_apps_by_id(db, api_key_obj.resource_id)
+            if not app:
+                auth_logger.warning(f"App not found for API Key: {api_key_obj.resource_id}")
+                raise credentials_exception
+            auth_logger.info(f"App access granted: {app.id}")
+            return app
+        
+        elif api_key_obj.type == "service":
+            # Workspace API Key
+            workspace = get_workspace_by_id(db, api_key_obj.workspace_id)
+            if not workspace:
+                auth_logger.warning(f"Workspace not found for API Key: {api_key_obj.workspace_id}")
+                raise credentials_exception
+            auth_logger.info(f"Workspace access granted: {workspace.id}")
+            return workspace
+        
+        else:
+            auth_logger.warning(f"Unsupported API Key type: {api_key_obj.type}")
+            raise credentials_exception
+    
+    except HTTPException:
+        raise
+    except Exception as e:
+        auth_logger.error(f"Error validating API Key: {str(e)}", exc_info=True)
+        raise credentials_exception
+
 

api/app/main.py

@@ -2,38 +2,10 @@ import os
 import subprocess
 from contextlib import asynccontextmanager
 
-from fastapi import FastAPI, HTTPException, Request
+from fastapi import FastAPI, APIRouter
+from fastapi import HTTPException, Request
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
-from app.core.response_utils import fail
-from app.core.logging_config import LoggingConfig, get_logger
-from app.core.exceptions import BusinessException
-from app.core.error_codes import BizCode, HTTP_MAPPING
-from app.controllers import (
-    model_controller,
-    task_controller,
-    test_controller,
-    user_controller,
-    auth_controller,
-    workspace_controller,
-    setup_controller,
-    file_controller,
-    document_controller,
-    knowledge_controller,
-    chunk_controller,
-    knowledgeshare_controller,
-    app_controller,
-    upload_controller,
-    memory_agent_controller,
-    memory_storage_controller,
-    memory_dashboard_controller,
-    multi_agent_controller,
-)
-
-from fastapi import FastAPI, APIRouter
-
-app = FastAPI(title="Data Config API", version="1.0.0")
-router = APIRouter(prefix="/memory", tags=["Memory"])
 
 # 管理端 API (JWT 认证)
 from app.controllers import manager_router

api/app/schemas/__init__.py

@@ -8,7 +8,9 @@ from .file_schema import File, FileCreate, FileUpdate
 from .tenant_schema import Tenant, TenantCreate, TenantUpdate
 from .chunk_schema import ChunkCreate, ChunkUpdate, ChunkRetrieve
 from .knowledgeshare_schema import KnowledgeShare, KnowledgeShareCreate
+from .order_schema import CreateOrderRequest, OrderResponse, ExternalOrderResponse
 from .app_schema import (
+    AppChatRequest,
     DraftRunRequest,
     DraftRunResponse,
     DraftRunStreamChunk,
@@ -73,6 +75,10 @@ __all__ = [
     "ChunkRetrieve",
     "KnowledgeShare",
     "KnowledgeShareCreate",
+    "CreateOrderRequest",
+    "OrderResponse",
+    "ExternalOrderResponse",
+    "AppChatRequest",
     "DraftRunRequest",
     "DraftRunResponse",
     "DraftRunStreamChunk",

api/app/schemas/app_schema.py

@@ -334,6 +334,13 @@ class AppShare(BaseModel):
 
 # ---------- Draft Run Schemas ----------
 
+class AppChatRequest(BaseModel):
+    message: str = Field(..., description="用户消息")
+    conversation_id: Optional[str] = Field(default=None, description="会话ID（用于多轮对话）")
+    user_id: Optional[str] = Field(default=None, description="用户ID（用于会话管理）")
+    variables: Optional[Dict[str, Any]] = Field(default=None, description="自定义变量参数值")
+    stream: bool = Field(default=False, description="是否流式返回")
+
 class DraftRunRequest(BaseModel):
     """试运行请求"""
     message: str = Field(..., description="用户消息")

api/app/schemas/order_schema.py

@@ -0,0 +1,63 @@
+"""
+Order Schema
+
+Defines request and response models for order operations.
+"""
+
+from pydantic import BaseModel, Field
+from typing import Any, Optional
+
+
+class CreateOrderRequest(BaseModel):
+    """Create order request model"""
+    
+    product_id: str = Field(..., description="Product ID")
+    quantity: int = Field(..., gt=0, description="Order quantity")
+    customer_name: Optional[str] = Field(None, description="Customer name")
+    customer_email: Optional[str] = Field(None, description="Customer email")
+    notes: Optional[str] = Field(None, description="Order notes")
+    
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "product_id": "PROD-001",
+                "quantity": 2,
+                "customer_name": "John Doe",
+                "customer_email": "john@example.com",
+                "notes": "Please deliver before 5pm"
+            }
+        }
+
+
+class OrderResponse(BaseModel):
+    """Order response model"""
+    
+    order_id: str = Field(..., description="Order ID")
+    status: str = Field(..., description="Order status")
+    product_id: str = Field(..., description="Product ID")
+    quantity: int = Field(..., description="Order quantity")
+    total_amount: Optional[float] = Field(None, description="Total amount")
+    created_at: Optional[str] = Field(None, description="Creation timestamp")
+    message: Optional[str] = Field(None, description="Response message")
+    
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "order_id": "ORD-20231224-001",
+                "status": "pending",
+                "product_id": "PROD-001",
+                "quantity": 2,
+                "total_amount": 199.99,
+                "created_at": "2023-12-24T10:30:00Z",
+                "message": "Order created successfully"
+            }
+        }
+
+
+class ExternalOrderResponse(BaseModel):
+    """External API response model (flexible structure)"""
+    
+    success: bool = Field(default=True, description="Request success status")
+    data: Optional[Any] = Field(None, description="Response data")
+    error: Optional[str] = Field(None, description="Error message")
+    code: Optional[int] = Field(None, description="Response code")

api/app/services/app_chat_service.py

@@ -0,0 +1,485 @@
+"""基于分享链接的聊天服务"""
+import asyncio
+import json
+import time
+import uuid
+from typing import Optional, Dict, Any, AsyncGenerator, Annotated
+
+from fastapi import Depends
+from sqlalchemy.orm import Session
+
+from app.core.agent.langchain_agent import LangChainAgent
+from app.core.logging_config import get_business_logger
+from app.db import get_db
+from app.models import MultiAgentConfig, AgentConfig
+from app.schemas.prompt_schema import render_prompt_message, PromptMessageRole
+from app.services.conversation_service import ConversationService
+from app.services.draft_run_service import create_knowledge_retrieval_tool, create_long_term_memory_tool
+from app.services.draft_run_service import create_web_search_tool
+from app.services.model_service import ModelApiKeyService
+from app.services.multi_agent_orchestrator import MultiAgentOrchestrator
+
+logger = get_business_logger()
+
+
+class AppChatService:
+    """基于分享链接的聊天服务"""
+
+    def __init__(self, db: Session):
+        self.db = db
+        self.conversation_service = ConversationService(db)
+
+    async def agnet_chat(
+            self,
+            message: str,
+            conversation_id: uuid.UUID,
+            config: AgentConfig,
+            user_id: Optional[str] = None,
+            variables: Optional[Dict[str, Any]] = None,
+            web_search: bool = False,
+            memory: bool = True,
+            storage_type: Optional[str] = None,
+            user_rag_memory_id: Optional[str] = None,
+    ) -> Dict[str, Any]:
+        """聊天（非流式）"""
+
+        start_time = time.time()
+        config_id = None
+
+        if variables is None:
+            variables = {}
+
+        # 获取模型配置ID
+        model_config_id = config.default_model_config_id
+        api_key_obj = ModelApiKeyService.get_a_api_key(model_config_id)
+        # 处理系统提示词（支持变量替换）
+        system_prompt = config.get("system_prompt", "")
+        if variables:
+            system_prompt_rendered = render_prompt_message(
+                system_prompt,
+                PromptMessageRole.USER,
+                variables
+            )
+            system_prompt = system_prompt_rendered.get_text_content() or system_prompt
+
+        # 准备工具列表
+        tools = []
+
+        # 添加知识库检索工具
+        knowledge_retrieval = config.get("knowledge_retrieval")
+        if knowledge_retrieval:
+            knowledge_bases = knowledge_retrieval.get("knowledge_bases", [])
+            kb_ids = [kb.get("kb_id") for kb in knowledge_bases if kb.get("kb_id")]
+            if kb_ids:
+                kb_tool = create_knowledge_retrieval_tool(knowledge_retrieval, kb_ids, user_id)
+                tools.append(kb_tool)
+
+        # 添加长期记忆工具
+        memory_flag = False
+        if memory == True:
+            memory_config = config.get("memory", {})
+            if memory_config.get("enabled") and user_id:
+                memory_flag = True
+                memory_tool = create_long_term_memory_tool(memory_config, user_id)
+                tools.append(memory_tool)
+
+        web_tools = config.get("tools")
+        web_search_choice = web_tools.get("web_search", {})
+        web_search_enable = web_search_choice.get("enabled", False)
+        if web_search == True:
+            if web_search_enable == True:
+                search_tool = create_web_search_tool({})
+                tools.append(search_tool)
+
+                logger.debug(
+                    "已添加网络搜索工具",
+                    extra={
+                        "tool_count": len(tools)
+                    }
+                )
+
+        # 获取模型参数
+        model_parameters = config.get("model_parameters", {})
+
+        # 创建 LangChain Agent
+        agent = LangChainAgent(
+            model_name=api_key_obj.model_name,
+            api_key=api_key_obj.api_key,
+            provider=api_key_obj.provider,
+            api_base=api_key_obj.api_base,
+            temperature=model_parameters.get("temperature", 0.7),
+            max_tokens=model_parameters.get("max_tokens", 2000),
+            system_prompt=system_prompt,
+            tools=tools,
+
+        )
+
+        # 加载历史消息
+        history = []
+        memory_config = {"enabled": True, 'max_history': 10}
+        if memory_config.get("enabled"):
+            messages = self.conversation_service.get_messages(
+                conversation_id=conversation_id,
+                limit=memory_config.get("max_history", 10)
+            )
+            history = [
+                {"role": msg.role, "content": msg.content}
+                for msg in messages
+            ]
+
+        # 调用 Agent
+        result = await agent.chat(
+            message=message,
+            history=history,
+            context=None,
+            end_user_id=user_id,
+            storage_type=storage_type,
+            user_rag_memory_id=user_rag_memory_id,
+            config_id=config_id,
+            memory_flag=memory_flag
+        )
+
+        # 保存消息
+        self.conversation_service.save_conversation_messages(
+            conversation_id=conversation_id,
+            user_message=message,
+            assistant_message=result["content"]
+        )
+
+        elapsed_time = time.time() - start_time
+
+        return {
+            "conversation_id": conversation_id,
+            "message": result["content"],
+            "usage": result.get("usage", {
+                "prompt_tokens": 0,
+                "completion_tokens": 0,
+                "total_tokens": 0
+            }),
+            "elapsed_time": elapsed_time
+        }
+
+    async def agnet_chat_stream(
+            self,
+            message: str,
+            conversation_id: uuid.UUID,
+            config: AgentConfig,
+            user_id: Optional[str] = None,
+            variables: Optional[Dict[str, Any]] = None,
+            web_search: bool = False,
+            memory: bool = True,
+            storage_type: Optional[str] = None,
+            user_rag_memory_id: Optional[str] = None,
+    ) -> AsyncGenerator[str, None]:
+        """聊天（流式）"""
+
+        try:
+            start_time = time.time()
+            config_id = None
+
+            if variables is None:
+                variables = {}
+
+            # 获取模型配置ID
+            model_config_id = config.default_model_config_id
+            api_key_obj = ModelApiKeyService.get_a_api_key(model_config_id)
+            # 处理系统提示词（支持变量替换）
+            system_prompt = config.get("system_prompt", "")
+            if variables:
+                system_prompt_rendered = render_prompt_message(
+                    system_prompt,
+                    PromptMessageRole.USER,
+                    variables
+                )
+                system_prompt = system_prompt_rendered.get_text_content() or system_prompt
+
+            # 准备工具列表
+            tools = []
+
+            # 添加知识库检索工具
+            knowledge_retrieval = config.get("knowledge_retrieval")
+            if knowledge_retrieval:
+                knowledge_bases = knowledge_retrieval.get("knowledge_bases", [])
+                kb_ids = [kb.get("kb_id") for kb in knowledge_bases if kb.get("kb_id")]
+                if kb_ids:
+                    kb_tool = create_knowledge_retrieval_tool(knowledge_retrieval, kb_ids, user_id)
+                    tools.append(kb_tool)
+
+            # 添加长期记忆工具
+            memory_flag = False
+            if memory:
+                memory_config = config.get("memory", {})
+                if memory_config.get("enabled") and user_id:
+                    memory_flag = True
+                    memory_tool = create_long_term_memory_tool(memory_config, user_id)
+                    tools.append(memory_tool)
+
+            web_tools = config.get("tools")
+            web_search_choice = web_tools.get("web_search", {})
+            web_search_enable = web_search_choice.get("enabled", False)
+            if web_search == True:
+                if web_search_enable == True:
+                    search_tool = create_web_search_tool({})
+                    tools.append(search_tool)
+
+                    logger.debug(
+                        "已添加网络搜索工具",
+                        extra={
+                            "tool_count": len(tools)
+                        }
+                    )
+
+            # 获取模型参数
+            model_parameters = config.get("model_parameters", {})
+
+            # 创建 LangChain Agent
+            agent = LangChainAgent(
+                model_name=api_key_obj.model_name,
+                api_key=api_key_obj.api_key,
+                provider=api_key_obj.provider,
+                api_base=api_key_obj.api_base,
+                temperature=model_parameters.get("temperature", 0.7),
+                max_tokens=model_parameters.get("max_tokens", 2000),
+                system_prompt=system_prompt,
+                tools=tools,
+                streaming=True
+            )
+
+            # 加载历史消息
+            history = []
+            memory_config = {"enabled": True, 'max_history': 10}
+            if memory_config.get("enabled"):
+                messages = self.conversation_service.get_messages(
+                    conversation_id=conversation_id,
+                    limit=memory_config.get("max_history", 10)
+                )
+                history = [
+                    {"role": msg.role, "content": msg.content}
+                    for msg in messages
+                ]
+
+            # 发送开始事件
+            yield f"event: start\ndata: {json.dumps({'conversation_id': str(conversation_id)}, ensure_ascii=False)}\n\n"
+
+            # 流式调用 Agent
+            full_content = ""
+            async for chunk in agent.chat_stream(
+                    message=message,
+                    history=history,
+                    context=None,
+                    end_user_id=user_id,
+                    storage_type=storage_type,
+                    user_rag_memory_id=user_rag_memory_id,
+                    config_id=config_id,
+                    memory_flag=memory_flag
+            ):
+                full_content += chunk
+                # 发送消息块事件
+                yield f"event: message\ndata: {json.dumps({'content': chunk}, ensure_ascii=False)}\n\n"
+
+            elapsed_time = time.time() - start_time
+
+            # 保存消息
+            self.conversation_service.add_message(
+                conversation_id=conversation_id,
+                role="user",
+                content=message
+            )
+
+            self.conversation_service.add_message(
+                conversation_id=conversation_id,
+                role="assistant",
+                content=full_content,
+                meta_data={
+                    "model": api_key_obj.model_name,
+                    "usage": {}
+                }
+            )
+
+            # 发送结束事件
+            end_data = {"elapsed_time": elapsed_time, "message_length": len(full_content)}
+            yield f"event: end\ndata: {json.dumps(end_data, ensure_ascii=False)}\n\n"
+
+            logger.info(
+                "流式聊天完成",
+                extra={
+                    "conversation_id": str(conversation_id),
+                    "elapsed_time": elapsed_time,
+                    "message_length": len(full_content)
+                }
+            )
+
+        except (GeneratorExit, asyncio.CancelledError):
+            # 生成器被关闭或任务被取消，正常退出
+            logger.debug("流式聊天被中断")
+            raise
+        except Exception as e:
+            logger.error(f"流式聊天失败: {str(e)}", exc_info=True)
+            # 发送错误事件
+            yield f"event: error\ndata: {json.dumps({'error': str(e)}, ensure_ascii=False)}\n\n"
+
+    async def multi_agent_chat(
+            self,
+            message: str,
+            conversation_id: uuid.UUID,
+            config: MultiAgentConfig,
+            user_id: Optional[str] = None,
+            variables: Optional[Dict[str, Any]] = None,
+            web_search: bool = False,
+            memory: bool = True,
+            storage_type: Optional[str] = None,
+            user_rag_memory_id: Optional[str] = None,
+    ) -> Dict[str, Any]:
+        """多 Agent 聊天（非流式）"""
+
+        start_time = time.time()
+        actual_config_id = None
+        config_id = actual_config_id
+
+        if variables is None:
+            variables = {}
+
+        # 2. 创建编排器
+        orchestrator = MultiAgentOrchestrator(self.db, config)
+
+        # 3. 执行任务
+        result = await orchestrator.execute(
+            message=message,
+            conversation_id=conversation_id,
+            user_id=user_id,
+            variables=variables,
+            use_llm_routing=True,  # 默认启用 LLM 路由
+            web_search=web_search,  # 网络搜索参数
+            memory=memory  # 记忆功能参数
+        )
+
+        elapsed_time = time.time() - start_time
+
+        # 保存消息
+        self.conversation_service.add_message(
+            conversation_id=conversation_id,
+            role="user",
+            content=message
+        )
+
+        self.conversation_service.add_message(
+            conversation_id=conversation_id,
+            role="assistant",
+            content=result.get("message", ""),
+            meta_data={
+                "mode": result.get("mode"),
+                "elapsed_time": result.get("elapsed_time"),
+                "sub_results": result.get("sub_results")
+            }
+        )
+
+        return {
+            "conversation_id": conversation_id,
+            "message": result.get("message", ""),
+            "usage": {
+                "prompt_tokens": 0,
+                "completion_tokens": 0,
+                "total_tokens": 0
+            },
+            "elapsed_time": elapsed_time
+        }
+
+    async def multi_agent_chat_stream(
+            self,
+            message: str,
+            conversation_id: uuid.UUID,
+            config: MultiAgentConfig,
+            user_id: Optional[str] = None,
+            variables: Optional[Dict[str, Any]] = None,
+            web_search: bool = False,
+            memory: bool = True,
+            storage_type: Optional[str] = None,
+            user_rag_memory_id: Optional[str] = None,
+    ) -> AsyncGenerator[str, None]:
+        """多 Agent 聊天（流式）"""
+
+        start_time = time.time()
+        actual_config_id = None
+        config_id = actual_config_id
+
+        if variables is None:
+            variables = {}
+
+        try:
+
+            # 发送开始事件
+            yield f"event: start\ndata: {json.dumps({'conversation_id': str(conversation_id)}, ensure_ascii=False)}\n\n"
+
+            full_content = ""
+
+            # 2. 创建编排器
+            orchestrator = MultiAgentOrchestrator(self.db, config)
+
+            # 3. 流式执行任务
+            async for event in orchestrator.execute_stream(
+                    message=message,
+                    conversation_id=conversation_id,
+                    user_id=user_id,
+                    variables=variables,
+                    use_llm_routing=True,
+                    web_search=web_search,  # 网络搜索参数
+                    memory=memory,  # 记忆功能参数
+                    storage_type=storage_type,
+                    user_rag_memory_id=user_rag_memory_id
+            ):
+                yield event
+                # 尝试提取内容（用于保存）
+                if "data:" in event:
+                    try:
+                        data_line = event.split("data: ", 1)[1].strip()
+                        data = json.loads(data_line)
+                        if "content" in data:
+                            full_content += data["content"]
+                    except:
+                        pass
+
+            elapsed_time = time.time() - start_time
+
+            # 保存消息
+            self.conversation_service.add_message(
+                conversation_id=conversation_id,
+                role="user",
+                content=message
+            )
+
+            self.conversation_service.add_message(
+                conversation_id=conversation_id,
+                role="assistant",
+                content=full_content,
+                meta_data={
+                    "elapsed_time": elapsed_time
+                }
+            )
+
+            logger.info(
+                "多 Agent 流式聊天完成",
+                extra={
+                    "conversation_id": str(conversation_id),
+                    "elapsed_time": elapsed_time,
+                    "message_length": len(full_content)
+                }
+            )
+
+
+        except (GeneratorExit, asyncio.CancelledError):
+            # 生成器被关闭或任务被取消，正常退出
+            logger.debug("多 Agent 流式聊天被中断")
+            raise
+        except Exception as e:
+            logger.error(f"多 Agent 流式聊天失败: {str(e)}", exc_info=True)
+            # 发送错误事件
+            yield f"event: error\ndata: {json.dumps({'error': str(e)}, ensure_ascii=False)}\n\n"
+
+
+# ==================== 依赖注入函数 ====================
+
+def get_app_chat_service(
+        db: Annotated[Session, Depends(get_db)]
+) -> ChatService:
+    """获取工作流服务（依赖注入）"""
+    return ChatService(db)

api/app/services/conversation_service.py

@@ -1,9 +1,12 @@
 """会话服务"""
 import uuid
-from typing import Optional, List, Tuple
+from typing import Optional, List, Tuple, Annotated
+
+from fastapi import Depends
 from sqlalchemy.orm import Session
 from sqlalchemy import select, desc
 
+from app.db import get_db
 from app.models import Conversation, Message
 from app.core.exceptions import ResourceNotFoundException, BusinessException
 from app.core.error_codes import BizCode
@@ -14,10 +17,10 @@ logger = get_business_logger()
 
 class ConversationService:
     """会话服务"""
-    
+
     def __init__(self, db: Session):
         self.db = db
-    
+
     def create_conversation(
         self,
         app_id: uuid.UUID,
@@ -36,11 +39,11 @@ class ConversationService:
             is_draft=is_draft,
             config_snapshot=config_snapshot
         )
-        
+
         self.db.add(conversation)
         self.db.commit()
         self.db.refresh(conversation)
-        
+
         logger.info(
             "创建会话成功",
             extra={
@@ -50,9 +53,9 @@ class ConversationService:
                 "is_draft": is_draft
             }
         )
-        
+
         return conversation
-    
+
     def get_conversation(
         self,
         conversation_id: uuid.UUID,
@@ -60,17 +63,17 @@ class ConversationService:
     ) -> Conversation:
         """获取会话"""
         stmt = select(Conversation).where(Conversation.id == conversation_id)
-        
+
         if workspace_id:
             stmt = stmt.where(Conversation.workspace_id == workspace_id)
-        
+
         conversation = self.db.scalars(stmt).first()
-        
+
         if not conversation:
             raise ResourceNotFoundException("会话", str(conversation_id))
-        
+
         return conversation
-    
+
     def list_conversations(
         self,
         app_id: uuid.UUID,
@@ -86,25 +89,25 @@ class ConversationService:
             Conversation.workspace_id == workspace_id,
             Conversation.is_active == True
         )
-        
+
         if user_id:
             stmt = stmt.where(Conversation.user_id == user_id)
-        
+
         if is_draft is not None:
             stmt = stmt.where(Conversation.is_draft == is_draft)
-        
+
         # 总数
         count_stmt = stmt.with_only_columns(Conversation.id)
         total = len(self.db.execute(count_stmt).all())
-        
+
         # 分页
         stmt = stmt.order_by(desc(Conversation.updated_at))
         stmt = stmt.offset((page - 1) * pagesize).limit(pagesize)
-        
+
         conversations = list(self.db.scalars(stmt).all())
-        
+
         return conversations, total
-    
+
     def add_message(
         self,
         conversation_id: uuid.UUID,
@@ -119,22 +122,22 @@ class ConversationService:
             content=content,
             meta_data=meta_data
         )
-        
+
         self.db.add(message)
-        
+
         # 更新会话的消息计数和更新时间
         conversation = self.get_conversation(conversation_id)
         conversation.message_count += 1
-        
+
         # 如果是第一条用户消息，可以用它作为标题
         if conversation.message_count == 1 and role == "user":
             conversation.title = content[:50] + ("..." if len(content) > 50 else "")
-        
+
         self.db.commit()
         self.db.refresh(message)
-        
+
         return message
-    
+
     def get_messages(
         self,
         conversation_id: uuid.UUID,
@@ -144,30 +147,30 @@ class ConversationService:
         stmt = select(Message).where(
             Message.conversation_id == conversation_id
         ).order_by(Message.created_at)
-        
+
         if limit:
             stmt = stmt.limit(limit)
-        
+
         messages = list(self.db.scalars(stmt).all())
-        
+
         return messages
-    
+
     def get_conversation_history(
         self,
         conversation_id: uuid.UUID,
         max_history: Optional[int] = None
     ) -> List[dict]:
         """获取会话历史消息
-        
+
         Args:
             conversation_id: 会话ID
             max_history: 最大历史消息数量
-            
+
         Returns:
             List[dict]: 历史消息列表，格式为 [{"role": "user", "content": "..."}, ...]
         """
         messages = self.get_messages(conversation_id, limit=max_history)
-        
+
         # 转换为字典格式
         history = [
             {
@@ -176,9 +179,9 @@ class ConversationService:
             }
             for msg in messages
         ]
-        
+
         return history
-    
+
     def save_conversation_messages(
         self,
         conversation_id: uuid.UUID,
@@ -192,14 +195,14 @@ class ConversationService:
             role="user",
             content=user_message
         )
-        
+
         # 添加助手消息
         self.add_message(
             conversation_id=conversation_id,
             role="assistant",
             content=assistant_message
         )
-        
+
         logger.debug(
             "保存会话消息成功",
             extra={
@@ -208,7 +211,7 @@ class ConversationService:
                 "assistant_message_length": len(assistant_message)
             }
         )
-    
+
     def delete_conversation(
         self,
         conversation_id: uuid.UUID,
@@ -217,9 +220,9 @@ class ConversationService:
         """删除会话（软删除）"""
         conversation = self.get_conversation(conversation_id, workspace_id)
         conversation.is_active = False
-        
+
         self.db.commit()
-        
+
         logger.info(
             "删除会话成功",
             extra={
@@ -227,3 +230,53 @@ class ConversationService:
                 "workspace_id": str(workspace_id)
             }
         )
+
+    def create_or_get_conversation(
+        self,
+        app_id: uuid.UUID,
+        workspace_id: uuid.UUID,
+        is_draft: bool = False,
+        conversation_id: Optional[uuid.UUID] = None,
+        user_id: Optional[str] = None,
+    ) -> Conversation:
+        """创建或获取会话"""
+
+        # 如果提供了 conversation_id，尝试获取现有会话
+        if conversation_id:
+            try:
+                conversation = self.get_conversation(
+                    conversation_id=conversation_id,
+                    workspace_id=workspace_id
+                )
+
+                # 验证会话是否属于该应用
+                if conversation.app_id != app_id:
+                    raise BusinessException("会话不属于该应用", BizCode.INVALID_CONVERSATION)
+                return conversation
+            except ResourceNotFoundException:
+                logger.warning(
+                    "会话不存在，将创建新会话",
+                    extra={"conversation_id": str(conversation_id)}
+                )
+
+        # 创建新会话（使用发布版本的配置）
+        conversation = self.create_conversation(
+            app_id=app_id,
+            workspace_id=workspace_id,
+            user_id=user_id,
+            is_draft=is_draft
+        )
+
+        logger.info(
+            "为分享链接创建新会话"
+        )
+
+        return conversation
+
+# ==================== 依赖注入函数 ====================
+
+def get_conversation_service(
+        db: Annotated[Session, Depends(get_db)]
+) -> ConversationService:
+    """获取工作流服务（依赖注入）"""
+    return ConversationService(db)

api/app/services/model_service.py

@@ -36,7 +36,7 @@ class ModelConfigService:
         """获取模型配置列表"""
         models, total = ModelConfigRepository.get_list(db, query, tenant_id=tenant_id)
         pages = math.ceil(total / query.pagesize) if total > 0 else 0
-        
+
         return PageData(
             page=PageMeta(
                 page=query.page,
@@ -72,7 +72,7 @@ class ModelConfigService:
         test_message: str = "Hello"
     ) -> Dict[str, Any]:
         """验证模型配置是否有效
-        
+
         Args:
             db: 数据库会话
             model_name: 模型名称
@@ -81,7 +81,7 @@ class ModelConfigService:
             api_base: API基础URL
             model_type: 模型类型 (llm/chat/embedding/rerank)
             test_message: 测试消息
-            
+
         Returns:
             Dict: 验证结果
         """
@@ -89,10 +89,10 @@ class ModelConfigService:
         from app.core.models.base import RedBearModelConfig
         from app.core.models.embedding import RedBearEmbeddings
         import traceback
-        
+
         try:
             start_time = time.time()
-            
+
             model_config = RedBearModelConfig(
                 model_name=model_name,
                 provider=provider,
@@ -101,16 +101,16 @@ class ModelConfigService:
                 temperature=0.7,
                 max_tokens=100
             )
-            
+
             # 根据模型类型选择不同的验证方式
             model_type_lower = model_type.lower()
-            
+
             if model_type_lower in ["llm", "chat"]:
                 # LLM/Chat 模型验证 - 统一使用字符串输入
                 llm = RedBearLLM(model_config, type=ModelType.LLM if model_type_lower == "llm" else ModelType.CHAT)
                 response = await llm.ainvoke(test_message)
                 elapsed_time = time.time() - start_time
-                
+
                 content = response.content if hasattr(response, 'content') else str(response)
                 usage = None
                 if hasattr(response, 'usage_metadata'):
@@ -119,7 +119,7 @@ class ModelConfigService:
                         "output_tokens": getattr(response.usage_metadata, 'output_tokens', 0),
                         "total_tokens": getattr(response.usage_metadata, 'total_tokens', 0)
                     }
-                
+
                 return {
                     "valid": True,
                     "message": f"{model_type.upper()} 模型配置验证成功",
@@ -128,14 +128,14 @@ class ModelConfigService:
                     "usage": usage,
                     "error": None
                 }
-                
+
             elif model_type_lower == "embedding":
                 # Embedding 模型验证（在线程中运行同步方法）
                 embedding = RedBearEmbeddings(model_config)
                 test_texts = [test_message, "测试文本"]
                 vectors = await asyncio.to_thread(embedding.embed_documents, test_texts)
                 elapsed_time = time.time() - start_time
-                
+
                 return {
                     "valid": True,
                     "message": "Embedding 模型配置验证成功",
@@ -148,7 +148,7 @@ class ModelConfigService:
                     },
                     "error": None
                 }
-                
+
             elif model_type_lower == "rerank":
                 # Rerank 模型验证（在线程中运行同步方法）
                 rerank = RedBearRerank(model_config)
@@ -156,7 +156,7 @@ class ModelConfigService:
                 documents = ["这是第一个文档", "这是第二个文档", "这是第三个文档"]
                 results = await asyncio.to_thread(rerank.rerank, query=query, documents=documents, top_n=3)
                 elapsed_time = time.time() - start_time
-                
+
                 return {
                     "valid": True,
                     "message": "Rerank 模型配置验证成功",
@@ -169,7 +169,7 @@ class ModelConfigService:
                     },
                     "error": None
                 }
-                
+
             else:
                 return {
                     "valid": False,
@@ -179,7 +179,7 @@ class ModelConfigService:
                     "usage": None,
                     "error": f"不支持的模型类型: {model_type}"
                 }
-                
+
         except Exception as e:
             # 提取详细的错误信息
             error_message = str(e)
@@ -203,12 +203,12 @@ class ModelConfigService:
                 error_message = f"无效请求: {error_message}"
             elif "model_copy" in error_message:
                 error_message = "模型消息格式错误: 请确保使用正确的模型类型（LLM/Chat）"
-            
+
             # 记录详细错误日志
             logger.error(f"模型验证失败 - 类型: {error_type}, 模型: {model_name}, 提供商: {provider}")
             logger.error(f"错误详情: {error_message}")
             logger.debug(f"完整堆栈: {traceback.format_exc()}")
-            
+
             return {
                 "valid": False,
                 "message": f"{model_type.upper()} 模型配置验证失败",
@@ -249,7 +249,7 @@ class ModelConfigService:
         model_config_data = model_data.dict(exclude={"api_keys", "skip_validation"})
         # 添加租户ID
         model_config_data["tenant_id"] = tenant_id
-        
+
         model = ModelConfigRepository.create(db, model_config_data)
         db.flush()  # 获取生成的 ID
 
@@ -259,7 +259,7 @@ class ModelConfigService:
                 **api_key_data.dict()
             )
             ModelApiKeyRepository.create(db, api_key_create_schema)
-        
+
         db.commit()
         db.refresh(model)
         return model
@@ -270,11 +270,11 @@ class ModelConfigService:
         existing_model = ModelConfigRepository.get_by_id(db, model_id, tenant_id=tenant_id)
         if not existing_model:
             raise BusinessException("模型配置不存在", BizCode.MODEL_NOT_FOUND)
-        
+
         if model_data.name and model_data.name != existing_model.name:
             if ModelConfigRepository.get_by_name(db, model_data.name, tenant_id=tenant_id):
                 raise BusinessException("模型名称已存在", BizCode.DUPLICATE_NAME)
-        
+
         model = ModelConfigRepository.update(db, model_id, model_data, tenant_id=tenant_id)
         db.commit()
         db.refresh(model)
@@ -285,7 +285,7 @@ class ModelConfigService:
         """删除模型配置"""
         if not ModelConfigRepository.get_by_id(db, model_id, tenant_id=tenant_id):
             raise BusinessException("模型配置不存在", BizCode.MODEL_NOT_FOUND)
-        
+
         success = ModelConfigRepository.delete(db, model_id, tenant_id=tenant_id)
         db.commit()
         return success
@@ -316,20 +316,20 @@ class ModelApiKeyService:
         return api_key
 
     @staticmethod
-    def get_api_keys_by_model(db: Session, model_config_id: uuid.UUID, is_active: bool = True) -> List[ModelApiKey]:
+    def get_api_keys_by_model(db: Session, model_config_id: uuid.UUID, is_active: bool = True) -> list[ModelApiKey]:
         """根据模型配置ID获取API Key列表"""
         if not ModelConfigRepository.get_by_id(db, model_config_id):
             raise BusinessException("模型配置不存在", BizCode.MODEL_NOT_FOUND)
-        
+
         return ModelApiKeyRepository.get_by_model_config(db, model_config_id, is_active)
 
-    @staticmethod 
+    @staticmethod
     async def create_api_key(db: Session, api_key_data: ModelApiKeyCreate) -> ModelApiKey:
         """创建API Key"""
         model_config = ModelConfigRepository.get_by_id(db, api_key_data.model_config_id)
         if not model_config:
             raise BusinessException("模型配置不存在", BizCode.MODEL_NOT_FOUND)
-        
+
         validation_result = await ModelConfigService.validate_model_config(
                 db=db,
                 model_name=api_key_data.model_name,
@@ -345,7 +345,7 @@ class ModelApiKeyService:
                     f"模型配置验证失败: {validation_result['error']}",
                     BizCode.INVALID_PARAMETER
                 )
-                
+
         api_key = ModelApiKeyRepository.create(db, api_key_data)
         db.commit()
         db.refresh(api_key)
@@ -357,12 +357,12 @@ class ModelApiKeyService:
         existing_api_key = ModelApiKeyRepository.get_by_id(db, api_key_id)
         if not existing_api_key:
             raise BusinessException("API Key不存在", BizCode.NOT_FOUND)
-        
+
         # 获取关联的模型配置以获取模型类型
         model_config = ModelConfigRepository.get_by_id(db, existing_api_key.model_config_id)
         if not model_config:
             raise BusinessException("关联的模型配置不存在", BizCode.MODEL_NOT_FOUND)
-        
+
         validation_result = await ModelConfigService.validate_model_config(
                 db=db,
                 model_name=api_key_data.model_name,
@@ -378,7 +378,7 @@ class ModelApiKeyService:
                     f"模型配置验证失败: {validation_result['error']}",
                     BizCode.INVALID_PARAMETER
                 )
-                
+
         api_key = ModelApiKeyRepository.update(db, api_key_id, api_key_data)
         db.commit()
         db.refresh(api_key)
@@ -389,7 +389,7 @@ class ModelApiKeyService:
         """删除API Key"""
         if not ModelApiKeyRepository.get_by_id(db, api_key_id):
             raise BusinessException("API Key不存在", BizCode.NOT_FOUND)
-        
+
         success = ModelApiKeyRepository.delete(db, api_key_id)
         db.commit()
         return success
@@ -409,3 +409,11 @@ class ModelApiKeyService:
         if success:
             db.commit()
         return success
+
+    @staticmethod
+    def get_a_api_key(db: Session, model_config_id: uuid.UUID) -> ModelApiKey:
+
+        api_kes = ModelApiKeyService.get_api_keys_by_model(db, model_config_id)
+        if api_kes and len(api_kes) > 0:
+            return api_kes[0]
+        raise BusinessException("没有可用的 API Key", BizCode.AGENT_CONFIG_MISSING)

api/app/services/order_service.py

@@ -0,0 +1,205 @@
+"""
+Order Service
+
+Handles order operations including forwarding requests to external APIs.
+"""
+
+import logging
+import httpx
+from typing import Dict, Any, Optional
+from app.schemas.order_schema import CreateOrderRequest
+
+logger = logging.getLogger(__name__)
+
+
+class OrderService:
+    """Order service for handling order operations"""
+    
+    def __init__(self, external_api_url: Optional[str] = None, api_key: Optional[str] = None):
+        """Initialize order service
+        
+        Args:
+            external_api_url: External API base URL
+            api_key: API key for authentication
+        """
+        # Default external API URL (replace with actual URL)
+        self.external_api_url = external_api_url or "https://api.example.com/v1"
+        self.api_key = api_key
+        self.timeout = 30.0  # 30 seconds timeout
+    
+    async def create_order(
+        self, 
+        order_data: CreateOrderRequest,
+        user_id: str
+    ) -> Dict[str, Any]:
+        """Create order by forwarding request to external API
+        
+        Args:
+            order_data: Order creation data
+            user_id: Current user ID
+        
+        Returns:
+            Order response data
+        
+        Raises:
+            httpx.HTTPError: If external API request fails
+            Exception: For other errors
+        """
+        try:
+            # Prepare request payload
+            payload = {
+                "product_id": order_data.product_id,
+                "quantity": order_data.quantity,
+                "customer_name": order_data.customer_name,
+                "customer_email": order_data.customer_email,
+                "notes": order_data.notes,
+                "user_id": user_id  # Include user ID for tracking
+            }
+            
+            # Prepare headers
+            headers = {
+                "Content-Type": "application/json",
+                "User-Agent": "MemoryBear-OrderService/1.0"
+            }
+            
+            # Add API key if configured
+            if self.api_key:
+                headers["Authorization"] = f"Bearer {self.api_key}"
+            
+            logger.info(f"Forwarding order creation request to external API: {self.external_api_url}/orders")
+            logger.debug(f"Request payload: {payload}")
+            
+            # Make async HTTP request to external API
+            async with httpx.AsyncClient(timeout=self.timeout) as client:
+                response = await client.post(
+                    f"{self.external_api_url}/orders",
+                    json=payload,
+                    headers=headers
+                )
+                
+                # Log response status
+                logger.info(f"External API response status: {response.status_code}")
+                
+                # Raise exception for 4xx/5xx status codes
+                response.raise_for_status()
+                
+                # Parse response
+                response_data = response.json()
+                logger.debug(f"External API response data: {response_data}")
+                
+                # Transform external API response to internal format
+                return self._transform_external_response(response_data)
+        
+        except httpx.HTTPStatusError as e:
+            logger.error(f"External API returned error status: {e.response.status_code}")
+            logger.error(f"Error response: {e.response.text}")
+            
+            # Try to parse error response
+            try:
+                error_data = e.response.json()
+                error_message = error_data.get("message") or error_data.get("error") or "External API error"
+            except Exception:
+                error_message = f"External API error: {e.response.status_code}"
+            
+            raise Exception(f"Failed to create order: {error_message}")
+        
+        except httpx.TimeoutException:
+            logger.error(f"External API request timeout after {self.timeout}s")
+            raise Exception("Order creation timeout - external service not responding")
+        
+        except httpx.RequestError as e:
+            logger.error(f"External API request failed: {str(e)}")
+            raise Exception(f"Failed to connect to external order service: {str(e)}")
+        
+        except Exception as e:
+            logger.error(f"Unexpected error during order creation: {str(e)}", exc_info=True)
+            raise Exception(f"Order creation failed: {str(e)}")
+    
+    def _transform_external_response(self, external_data: Dict[str, Any]) -> Dict[str, Any]:
+        """Transform external API response to internal format
+        
+        Args:
+            external_data: Response data from external API
+        
+        Returns:
+            Transformed response data
+        """
+        # Handle different response formats from external API
+        # Adjust this based on actual external API response structure
+        
+        if "data" in external_data:
+            # Format 1: {"success": true, "data": {...}}
+            data = external_data["data"]
+        elif "order" in external_data:
+            # Format 2: {"order": {...}}
+            data = external_data["order"]
+        else:
+            # Format 3: Direct response
+            data = external_data
+        
+        # Extract fields with fallbacks
+        return {
+            "order_id": data.get("order_id") or data.get("id") or "UNKNOWN",
+            "status": data.get("status") or "pending",
+            "product_id": data.get("product_id") or "",
+            "quantity": data.get("quantity") or 0,
+            "total_amount": data.get("total_amount") or data.get("amount"),
+            "created_at": data.get("created_at") or data.get("timestamp"),
+            "message": external_data.get("message") or "Order created successfully"
+        }
+    
+    async def get_order(self, order_id: str) -> Dict[str, Any]:
+        """Get order details from external API
+        
+        Args:
+            order_id: Order ID
+        
+        Returns:
+            Order details
+        """
+        try:
+            headers = {"Content-Type": "application/json"}
+            if self.api_key:
+                headers["Authorization"] = f"Bearer {self.api_key}"
+            
+            logger.info(f"Fetching order {order_id} from external API")
+            
+            async with httpx.AsyncClient(timeout=self.timeout) as client:
+                response = await client.get(
+                    f"{self.external_api_url}/orders/{order_id}",
+                    headers=headers
+                )
+                response.raise_for_status()
+                return response.json()
+        
+        except Exception as e:
+            logger.error(f"Failed to fetch order {order_id}: {str(e)}")
+            raise Exception(f"Failed to fetch order: {str(e)}")
+
+
+# Singleton instance
+_order_service_instance: Optional[OrderService] = None
+
+
+def get_order_service(
+    external_api_url: Optional[str] = None,
+    api_key: Optional[str] = None
+) -> OrderService:
+    """Get order service instance
+    
+    Args:
+        external_api_url: External API URL (optional, uses default if not provided)
+        api_key: API key (optional)
+    
+    Returns:
+        OrderService instance
+    """
+    global _order_service_instance
+    
+    if _order_service_instance is None:
+        _order_service_instance = OrderService(
+            external_api_url=external_api_url,
+            api_key=api_key
+        )
+    
+    return _order_service_instance

api/app/services/workspace_service.py

@@ -1,35 +1,32 @@
-from sqlalchemy.orm import Session
-from typing import List, Optional
-import uuid
-import secrets
-import hashlib
 import datetime
-from fastapi import HTTPException, status
+import hashlib
+import secrets
+import uuid
+from os import getenv
+from typing import List, Optional
+
+from sqlalchemy.orm import Session
+
+from app.core.config import settings
 from app.core.error_codes import BizCode
 from app.core.exceptions import BusinessException, PermissionDeniedException
-from app.models.tenant_model import Tenants
+from app.core.logging_config import get_business_logger
 from app.models.user_model import User
-from app.models.app_model import App
-from app.models.end_user_model import EndUser
-from app.models.workspace_model import Workspace, WorkspaceRole, WorkspaceInvite, InviteStatus, WorkspaceMember
+from app.models.workspace_model import Workspace, WorkspaceRole, InviteStatus, WorkspaceMember
+from app.repositories import workspace_repository
+from app.repositories.workspace_invite_repository import WorkspaceInviteRepository
 from app.schemas.workspace_schema import (
-    WorkspaceCreate, 
-    WorkspaceUpdate, 
-    WorkspaceInviteCreate, 
+    WorkspaceCreate,
+    WorkspaceUpdate,
+    WorkspaceInviteCreate,
     WorkspaceInviteResponse,
     InviteValidateResponse,
     InviteAcceptRequest,
     WorkspaceMemberUpdate
 )
-from app.repositories import workspace_repository
-from app.repositories.workspace_invite_repository import WorkspaceInviteRepository
-from app.core.logging_config import get_business_logger
-from app.core.config import settings
-from app.services import user_service
-from os import getenv
+
 # 获取业务逻辑专用日志器
 business_logger = get_business_logger()
-import os  #
 from dotenv import load_dotenv
 load_dotenv()
 def switch_workspace(
@@ -39,10 +36,10 @@ def switch_workspace(
 ):
     """切换工作空间"""
     business_logger.debug(f"用户 {user.username} 请求切换工作空间为 {workspace_id}")
-    
+
     # 检查用户是否为成员或超级管理员
     _check_workspace_member_permission(db, workspace_id, user)
-    
+
     # 更新当前用户的工作空间上下文
     try:
         user.current_workspace_id = workspace_id
@@ -63,22 +60,22 @@ def  delete_workspace_member(
         ):
         """删除工作空间成员"""
         business_logger.debug(f"用户 {user.username} 请求删除工作空间 {workspace_id} 的成员 {member_id}")
-        _check_workspace_admin_permission(db, workspace_id, user)       
+        _check_workspace_admin_permission(db, workspace_id, user)
         workspace_member = workspace_repository.get_member_by_id(db=db, member_id=member_id)
         if not workspace_member:
                 raise BusinessException(f"工作空间成员 {member_id} 不存在", BizCode.WORKSPACE_MEMBER_NOT_FOUND)
-            
+
         if workspace_member.workspace_id != workspace_id:
                 raise BusinessException(f"工作空间成员 {member_id} 不存在于工作空间 {workspace_id}", BizCode.WORKSPACE_MEMBER_NOT_FOUND)
-            
-        try:            
+
+        try:
             workspace_member.is_active = False
             workspace_member.user.current_workspace_id = None
-            db.commit()          
+            db.commit()
             business_logger.info(f"用户 {user.username} 成功删除工作空间 {workspace_id} 的成员 {member_id}")
         except Exception as e:
             db.rollback()
-            business_logger.error(f"删除工作空间成员失败 - 工作空间: {workspace_id}, 成员: {member_id}, 错误: {str(e)}")    
+            business_logger.error(f"删除工作空间成员失败 - 工作空间: {workspace_id}, 成员: {member_id}, 错误: {str(e)}")
             raise BusinessException(f"删除工作空间成员失败: {str(e)}", BizCode.INTERNAL_ERROR)
 
 
@@ -94,7 +91,7 @@ def _create_workspace_only(
     db: Session, workspace: WorkspaceCreate, owner: User
 ) -> Workspace:
     business_logger.debug(f"创建工作空间: {workspace.name}, 创建者: {owner.username}")
-    
+
     try:
         # Create the workspace without adding any members
         business_logger.debug(f"创建工作空间: {workspace.name}")
@@ -126,7 +123,7 @@ def create_workspace(
         business_logger.info(f"工作空间创建成功: {db_workspace.name} (ID: {db_workspace.id}), 创建者: {user.username}")
         db.commit()
         db.refresh(db_workspace)
-        
+
         # 如果 storage_type 是 "rag"，自动创建知识库
         if workspace.storage_type == "rag":
             business_logger.info(
@@ -138,7 +135,7 @@ def create_workspace(
                 from app.schemas.knowledge_schema import KnowledgeCreate
                 from app.models.knowledge_model import KnowledgeType, PermissionType
                 from app.repositories import knowledge_repository
-                
+
                 # 创建知识库数据
                 knowledge_data = KnowledgeCreate(
                     workspace_id=db_workspace.id,
@@ -162,10 +159,10 @@ def create_workspace(
                         "html4excel": False
                     }
                 )
-                
+
                 # 直接使用 repository 创建知识库，避免 service 层的额外逻辑
                 db_knowledge = knowledge_repository.create_knowledge(
-                    db=db, 
+                    db=db,
                     knowledge=knowledge_data
                 )
                 db.commit()
@@ -179,12 +176,12 @@ def create_workspace(
                 )
                 db.rollback()
                 raise BusinessException(
-                    f"工作空间创建成功，但知识库创建失败: {str(kb_error)}", 
+                    f"工作空间创建成功，但知识库创建失败: {str(kb_error)}",
                     BizCode.INTERNAL_ERROR
                 )
-        
+
         return db_workspace
-        
+
     except Exception as e:
         business_logger.error(f"工作空间创建失败: {workspace.name} - {str(e)}")
         db.rollback()
@@ -195,7 +192,7 @@ def update_workspace(
     db: Session, workspace_id: uuid.UUID, workspace_in: WorkspaceUpdate, user: User
 ) -> Workspace:
     business_logger.info(f"更新工作空间: workspace_id={workspace_id}, 操作者: {user.username}")
-    
+
     db_workspace = _check_workspace_admin_permission(db,workspace_id,user)
     try:
         # 更新工作空间
@@ -219,8 +216,8 @@ def get_workspace_members(
     db: Session, workspace_id: uuid.UUID, user: User
 ) -> List[WorkspaceMember]:
     """获取某工作空间的成员列表（关系序列化由模型关系支持）"""
-    business_logger.info(f"获取工作空间成员: workspace_id={workspace_id}, 操作者: {user.username}") 
-    
+    business_logger.info(f"获取工作空间成员: workspace_id={workspace_id}, 操作者: {user.username}")
+
     # 查找工作空间
     business_logger.debug(f"查找工作空间: {workspace_id}")
     workspace = workspace_repository.get_workspace_by_id(db=db, workspace_id=workspace_id)
@@ -237,10 +234,10 @@ def get_workspace_members(
         db=db, user_id=user.id, workspace_id=workspace_id
     )
     workspace_memberships = {workspace_id} if member else set()
-    
+
     subject = Subject.from_user(user, workspace_memberships=workspace_memberships)
     resource = Resource.from_workspace(workspace)
-    
+
     try:
         permission_service.require_permission(
             subject,
@@ -265,7 +262,7 @@ def get_workspace_members(
 
 def _generate_invite_token() -> tuple[str, str]:
     """生成邀请令牌和其哈希值
-    
+
     Returns:
         tuple: (原始令牌, 令牌哈希)
     """
@@ -285,21 +282,21 @@ def _check_workspace_member_permission(db: Session, workspace_id: uuid.UUID, use
             message="Workspace not found",
             code=BizCode.WORKSPACE_NOT_FOUND
         )
-    
+
     # 使用统一权限服务检查访问权限
     from app.core.permissions import permission_service, Subject, Resource, Action
-    
+
     # 获取用户的工作空间成员关系
     member = workspace_repository.get_member_in_workspace(
         db=db, user_id=user.id, workspace_id=workspace_id
     )
-    
+
     # 任何成员都有访问权限
     workspace_memberships = {workspace_id} if member else set()
-    
+
     subject = Subject.from_user(user, workspace_memberships=workspace_memberships)
     resource = Resource.from_workspace(db_workspace)
-    
+
     try:
         permission_service.require_permission(
             subject,
@@ -323,21 +320,21 @@ def _check_workspace_admin_permission(db: Session, workspace_id: uuid.UUID, user
             message="Workspace not found",
             code=BizCode.WORKSPACE_NOT_FOUND
         )
-    
+
     # 使用统一权限服务检查管理权限
     from app.core.permissions import permission_service, Subject, Resource, Action
-    
+
     # 获取用户的工作空间成员关系
     member = workspace_repository.get_member_in_workspace(
         db=db, user_id=user.id, workspace_id=workspace_id
     )
-    
+
     # 只有 manager 才有管理权限
     workspace_memberships = {workspace_id} if (member and member.role == WorkspaceRole.manager) else set()
-    
+
     subject = Subject.from_user(user, workspace_memberships=workspace_memberships)
     resource = Resource.from_workspace(db_workspace)
-    
+
     try:
         permission_service.require_permission(
             subject,
@@ -353,14 +350,14 @@ def _check_workspace_admin_permission(db: Session, workspace_id: uuid.UUID, user
 
 
 def create_workspace_invite(
-    db: Session, 
-    workspace_id: uuid.UUID, 
-    invite_data: WorkspaceInviteCreate, 
+    db: Session,
+    workspace_id: uuid.UUID,
+    invite_data: WorkspaceInviteCreate,
     user: User
 ) -> WorkspaceInviteResponse:
     """创建工作空间邀请"""
     business_logger.info(f"创建工作空间邀请: workspace_id={workspace_id}, email={invite_data.email}, 创建者: {user.username}")
-    
+
     try:
         # 检查权限
         _check_workspace_admin_permission(db, workspace_id, user)
@@ -368,7 +365,7 @@ def create_workspace_invite(
             # 检查被邀请用户是否已经在工作空间中
             from app.repositories import user_repository
             invited_user = user_repository.get_user_by_email(db, invite_data.email)
-            
+
             if invited_user:
                 # 用户存在，检查是否已经是工作空间成员
                 existing_member = workspace_repository.get_member_in_workspace(
@@ -379,14 +376,14 @@ def create_workspace_invite(
                 if existing_member:
                     business_logger.warning(f"用户 {invite_data.email} 已经是工作空间成员")
                     raise BusinessException("该用户已经是工作空间成员", BizCode.RESOURCE_ALREADY_EXISTS)
-        
+
         # 检查是否已有待处理的邀请
         invite_repo = WorkspaceInviteRepository(db)
         existing_invite = invite_repo.get_pending_invite_by_email_and_workspace(
-            email=invite_data.email, 
+            email=invite_data.email,
             workspace_id=workspace_id
         )
-        
+
         invite_token = None
         if existing_invite:
             business_logger.info(f"邮箱 {invite_data.email} 在工作空间 {workspace_id} 已有待处理邀请，返回现有邀请")
@@ -409,17 +406,17 @@ def create_workspace_invite(
             )
             db.commit()
             db.refresh(db_invite)
-            invite_token = token        
-        
+            invite_token = token
+
         invite_obj = existing_invite or db_invite
         business_logger.info(f"工作空间邀请创建成功: invite_id={invite_obj.id}, email={invite_data.email}")
-        
+
         # 构造响应
         response = WorkspaceInviteResponse.model_validate(invite_obj)
         response.invite_token = invite_token
         return response
-        
-        
+
+
     except Exception as e:
         db.rollback()
         business_logger.error(f"创建工作空间邀请失败: workspace_id={workspace_id}, email={invite_data.email} - {str(e)}")
@@ -427,8 +424,8 @@ def create_workspace_invite(
 
 
 def get_workspace_invites(
-    db: Session, 
-    workspace_id: uuid.UUID, 
+    db: Session,
+    workspace_id: uuid.UUID,
     user: User,
     status: Optional[InviteStatus] = None,
     limit: int = 50,
@@ -436,15 +433,15 @@ def get_workspace_invites(
 ) -> List[WorkspaceInviteResponse]:
     """获取工作空间邀请列表"""
     business_logger.info(f"获取工作空间邀请列表: workspace_id={workspace_id}, 操作者: {user.username}")
-    
+
     # 检查工作空间是否存在
     workspace = workspace_repository.get_workspace_by_id(db=db, workspace_id=workspace_id)
     if not workspace:
         raise BusinessException("工作空间不存在", BizCode.WORKSPACE_NOT_FOUND)
-    
+
     # 检查权限
     _check_workspace_admin_permission(db, workspace_id, user)
-    
+
     # 获取邀请列表
     invite_repo = WorkspaceInviteRepository(db)
     invites = invite_repo.get_workspace_invites(
@@ -453,35 +450,35 @@ def get_workspace_invites(
         limit=limit,
         offset=offset
     )
-    
+
     return [WorkspaceInviteResponse.model_validate(invite) for invite in invites]
 
 
 def validate_invite_token(db: Session, token: str) -> InviteValidateResponse:
     """验证邀请令牌"""
     business_logger.info("验证邀请令牌")
-    
+
     # 生成令牌哈希
     token_hash = hashlib.sha256(token.encode()).hexdigest()
-    
+
     # 查找邀请
     invite_repo = WorkspaceInviteRepository(db)
     invite = invite_repo.get_invite_by_token_hash(token_hash)
-    
+
     if not invite:
         business_logger.warning("邀请令牌无效")
         raise BusinessException("邀请令牌无效", BizCode.WORKSPACE_INVITE_NOT_FOUND)
-    
+
     # 检查邀请状态和过期时间
     now = datetime.datetime.now()
     is_expired = invite.expires_at < now or invite.status != InviteStatus.pending
     is_valid = not is_expired
-    
+
     # 获取工作空间信息
     workspace = workspace_repository.get_workspace_by_id(db=db, workspace_id=invite.workspace_id)
-    
+
     business_logger.info(f"邀请令牌验证完成: valid={is_valid}, expired={is_expired}")
-    
+
     return InviteValidateResponse(
         workspace_name=workspace.name,
         workspace_id=invite.workspace_id,
@@ -493,32 +490,32 @@ def validate_invite_token(db: Session, token: str) -> InviteValidateResponse:
 
 
 def accept_workspace_invite(
-    db: Session, 
-    accept_request: InviteAcceptRequest, 
+    db: Session,
+    accept_request: InviteAcceptRequest,
     user: User
 ) -> dict:
     """接受工作空间邀请"""
     business_logger.info(f"接受工作空间邀请: 用户 {user.username}")
-    
+
     try:
         from app.core.config import settings
-        
+
         # 生成令牌哈希
         token_hash = hashlib.sha256(accept_request.token.encode()).hexdigest()
-        
+
         # 查找邀请
         invite_repo = WorkspaceInviteRepository(db)
         invite = invite_repo.get_invite_by_token_hash(token_hash)
-        
+
         if not invite:
             business_logger.warning("邀请令牌无效")
             raise BusinessException("邀请令牌无效", BizCode.WORKSPACE_INVITE_NOT_FOUND)
-        
+
         # 检查邀请状态
         if invite.status != InviteStatus.pending:
             business_logger.warning(f"邀请已被处理: status={invite.status}")
             raise BusinessException(f"邀请已被{invite.status}", BizCode.WORKSPACE_INVITE_INVALID)
-        
+
         # 检查过期时间
         now = datetime.datetime.now()
         if invite.expires_at < now:
@@ -526,31 +523,31 @@ def accept_workspace_invite(
             # 标记为过期
             invite_repo.update_invite_status(invite.id, InviteStatus.expired)
             raise BusinessException("邀请已过期", BizCode.WORKSPACE_INVITE_EXPIRED)
-        
+
         # 检查邮箱是否匹配
         if invite.email != user.email:
             business_logger.warning(f"邮箱不匹配: invite_email={invite.email}, user_email={user.email}")
             raise BusinessException("邮箱与邀请邮箱不匹配", BizCode.FORBIDDEN)
-        
+
         # 如果启用单工作空间模式，检查用户是否已有工作空间
         if settings.ENABLE_SINGLE_WORKSPACE:
             user_workspaces = workspace_repository.get_workspaces_by_user(db=db, user_id=user.id)
             if user_workspaces:
                 business_logger.warning(f"单工作空间模式下用户已有工作空间: user={user.username}")
                 raise BusinessException("用户只能加入一个工作空间", BizCode.FORBIDDEN)
-        
+
         # 检查用户是否已经是工作空间成员
         existing_member = workspace_repository.get_member_in_workspace(
-            db=db, 
-            user_id=user.id, 
+            db=db,
+            user_id=user.id,
             workspace_id=invite.workspace_id
         )
-        
+
         if existing_member:
             business_logger.info("用户已是工作空间成员，更新邀请状态")
             invite_repo.update_invite_status(
-                invite.id, 
-                InviteStatus.accepted, 
+                invite.id,
+                InviteStatus.accepted,
                 accepted_at=now
             )
             db.commit()
@@ -559,10 +556,10 @@ def accept_workspace_invite(
                 "message": "You are already a member of this workspace",
                 "workspace": workspace
             }
-        
+
         # 将角色映射到工作空间角色（现在直接使用相同的角色）
         workspace_role = invite.role
-        
+
         # 添加用户到工作空间
         workspace_repository.add_member_to_workspace(
             db=db,
@@ -570,27 +567,27 @@ def accept_workspace_invite(
             workspace_id=invite.workspace_id,
             role=workspace_role
         )
-        
+
         # 标记邀请为已接受
         invite_repo.update_invite_status(
-            invite.id, 
-            InviteStatus.accepted, 
+            invite.id,
+            InviteStatus.accepted,
             accepted_at=now
         )
-        
+
         db.commit()
-        
+
         # 获取工作空间信息
         workspace = workspace_repository.get_workspace_by_id(db=db, workspace_id=invite.workspace_id)
-        
+
         business_logger.info(f"用户成功加入工作空间: user={user.username}, workspace={workspace.name}, role={workspace_role}")
-        
+
         return {
             "message": "Successfully joined the workspace",
             "workspace": workspace,
             "role": workspace_role
         }
-        
+
     except Exception as e:
         db.rollback()
         business_logger.error(f"接受工作空间邀请失败: user={user.username} - {str(e)}")
@@ -598,34 +595,34 @@ def accept_workspace_invite(
 
 
 def revoke_workspace_invite(
-    db: Session, 
-    workspace_id: uuid.UUID, 
-    invite_id: uuid.UUID, 
+    db: Session,
+    workspace_id: uuid.UUID,
+    invite_id: uuid.UUID,
     user: User
 ) -> dict:
     """撤销工作空间邀请"""
     business_logger.info(f"撤销工作空间邀请: workspace_id={workspace_id}, invite_id={invite_id}, 操作者: {user.username}")
-    
+
     try:
         # 检查权限
         _check_workspace_admin_permission(db, workspace_id, user)
-        
+
         # 撤销邀请
         invite_repo = WorkspaceInviteRepository(db)
         invite = invite_repo.revoke_invite(invite_id)
-        
+
         if not invite:
             business_logger.warning(f"邀请不存在: invite_id={invite_id}")
             raise BusinessException("邀请不存在", BizCode.WORKSPACE_INVITE_NOT_FOUND)
-        
+
         if invite.workspace_id != workspace_id:
             business_logger.warning(f"邀请不属于指定工作空间: invite_id={invite_id}, workspace_id={workspace_id}")
             raise BusinessException("邀请不属于指定工作空间", BizCode.BAD_REQUEST)
-        
+
         db.commit()
         business_logger.info(f"工作空间邀请撤销成功: invite_id={invite_id}")
         return {"message": "邀请撤销成功"}
-        
+
     except Exception as e:
         db.rollback()
         business_logger.error(f"撤销工作空间邀请失败: invite_id={invite_id} - {str(e)}")
@@ -640,48 +637,48 @@ def update_workspace_member_roles(
 ) -> List[WorkspaceMember]:
     """更新工作空间成员角色"""
     business_logger.info(f"更新工作空间成员角色: workspace_id={workspace_id}, 操作者: {user.username}, 更新数量: {len(updates)}")
-    
+
     # 检查管理员权限
     _check_workspace_admin_permission(db, workspace_id, user)
-    
+
     # 获取所有当前成员
     all_members = workspace_repository.get_members_by_workspace(db=db, workspace_id=workspace_id)
     member_map = {m.id: m for m in all_members}
-    
+
     # 验证和业务规则检查
     update_ids = set()
     for upd in updates:
         # 检查成员是否存在
         if upd.id not in member_map:
             raise BusinessException(f"成员 {upd.id} 不存在于工作空间 {workspace_id}", BizCode.WORKSPACE_MEMBER_NOT_FOUND)
-        
+
         member = member_map[upd.id]
-        
+
         # 检查成员是否属于该工作空间
         if member.workspace_id != workspace_id:
             raise BusinessException(f"成员 {upd.id} 不属于工作空间 {workspace_id}", BizCode.WORKSPACE_MEMBER_NOT_FOUND)
-        
+
         # 不能修改自己的角色
         if member.user_id == user.id:
             raise BusinessException("不能修改自己的角色", BizCode.BAD_REQUEST)
-        
+
         update_ids.add(upd.id)
-    
+
     # 检查是否至少保留一个 manager
     current_managers = [m for m in all_members if m.role == WorkspaceRole.manager]
     managers_after_update = [
-        m for m in all_members 
+        m for m in all_members
         if m.id not in update_ids and m.role == WorkspaceRole.manager
     ]
-    
+
     # 添加更新后会成为 manager 的成员
     for upd in updates:
         if upd.role == WorkspaceRole.manager:
             managers_after_update.append(member_map[upd.id])
-    
+
     if len(managers_after_update) == 0:
         raise BusinessException("工作空间至少需要一个管理员", BizCode.BAD_REQUEST)
-    
+
     # 执行更新
     try:
         for upd in updates:
@@ -691,15 +688,15 @@ def update_workspace_member_roles(
                 role=upd.role,
             )
             business_logger.debug(f"更新成员 {upd.id} 角色为 {upd.role}")
-        
+
         db.commit()
-        
+
         # 重新获取更新后的成员列表
         updated_members = workspace_repository.get_members_by_workspace(db=db, workspace_id=workspace_id)
         business_logger.info(f"成员角色更新完成: workspace_id={workspace_id}, 更新数量={len(updates)}")
-        
+
         return updated_members
-        
+
     except Exception as e:
         db.rollback()
         business_logger.error(f"更新工作空间成员角色失败: workspace_id={workspace_id} - {str(e)}")
@@ -789,7 +786,7 @@ def get_workspace_models_configs(
 
     # 查询工作空间模型配置
     configs = workspace_repository.get_workspace_models_configs(db=db, workspace_id=workspace_id)
-    
+
     if configs is None:
         business_logger.error(f"工作空间不存在: workspace_id={workspace_id}")
         raise BusinessException(
@@ -801,4 +798,5 @@ def get_workspace_models_configs(
         f"成功获取工作空间 {workspace_id} 的模型配置: "
         f"llm={configs.get('llm')}, embedding={configs.get('embedding')}, rerank={configs.get('rerank')}"
     )
-    return configs
+    return configs
+