egutierrez
9ee8daa295
- Added WebSocket endpoint for real-time chat interactions. - Refactored ChatPage component to utilize WebSocket for sending and receiving messages. - Updated chat service to handle streaming responses from the LLM agent. - Introduced error handling for WebSocket connections and message processing. - Modified Editor_Test to include AppShellWithMenu for better layout. - Adjusted file path in generar_tree.py for correct directory structure. - Created llm_chat_endpoint_v1.py and llm_chat_srvc.py for handling chat requests and responses. - Established logging for WebSocket interactions and errors.
45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
# backend/domains/llm/agent_endpoints.py
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from fastapi import APIRouter, HTTPException
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from fastapi.responses import StreamingResponse
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from pydantic import BaseModel
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from fastapi.concurrency import run_in_threadpool
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from backend.domains.llms.llm_chat_srvc import construir_agente_llm, responder, responder_stream
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from src.Logger.logger_db import LoggerDB, logger
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from entrypoint.init_db import db_credencial
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LoggerDB(db_credencial, "logger_llm", created_by="sistema")
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router = APIRouter()
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agente = construir_agente_llm() # inicializa el agente una vez
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# 📥 Schema para entrada de prompt
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class ChatInput(BaseModel):
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prompt: str
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# ✅ Endpoint de respuesta simple
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@router.post("/chat", summary="Enviar prompt y obtener respuesta completa del agente")
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async def chat_endpoint(data: ChatInput):
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try:
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return await responder(data.prompt, agente)
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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except Exception as e:
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logger.exception("[ERROR] Fallo durante respuesta del agente:")
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raise HTTPException(status_code=500, detail="Error interno al procesar la solicitud.")
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# 🔁 Endpoint de streaming
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@router.post("/chat-stream", summary="Enviar prompt y recibir respuesta del agente en streaming")
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async def chat_stream_endpoint(data: ChatInput):
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try:
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return StreamingResponse(
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responder_stream(data.prompt, agente),
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media_type="text/plain"
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)
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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except Exception as e:
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logger.exception("[ERROR] Fallo durante respuesta en streaming:")
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raise HTTPException(status_code=500, detail="Error interno en el agente.")
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