| | |
| | | from app.models.agent_model import AgentModel, AgentType |
| | | from app.models.base_model import get_db |
| | | from app.models.user_model import UserModel |
| | | from app.service.common.api_token import DfTokenDao |
| | | from app.service.v2.api_token import DfTokenDao |
| | | from app.service.dialog import update_session_history |
| | | from app.service.basic import BasicService |
| | | from app.service.difyService import DifyService |
| | |
| | | |
| | | if agent_type == AgentType.RAGFLOW: |
| | | ragflow_service = RagflowService(settings.fwr_base_url) |
| | | token = get_ragflow_token(db, current_user.id) |
| | | token = await get_ragflow_token(db, current_user.id) |
| | | try: |
| | | async def forward_to_ragflow(): |
| | | while True: |
| | |
| | | pass |
| | | |
| | | elif agent_type == AgentType.BISHENG: |
| | | token = get_bisheng_token(db, current_user.id) |
| | | token = await get_bisheng_token(db, current_user.id) |
| | | service_uri = f"{settings.sgb_websocket_url}/api/v1/assistant/chat/{agent_id}?t=&chat_id={chat_id}" |
| | | headers = {'cookie': f"access_token_cookie={token};"} |
| | | |