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Fitz_Studio/backend/domains/llms/llm_chat_ws_endpoint_v1.py
T
egutierrez 9ee8daa295 feat: Implement WebSocket support for chat functionality and refactor chat service
- 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.
2025-06-17 00:19:36 +02:00

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1.2 KiB
Python

from fastapi import WebSocket, APIRouter, WebSocketDisconnect
from backend.domains.llms.llm_chat_srvc import construir_agente_llm
from src.Logger.logger_db import LoggerDB, logger
from entrypoint.init_db import db_credencial
import json
LoggerDB(db_credencial, "logger_llm_ws", created_by="sistema")
router = APIRouter()
agente = construir_agente_llm()
@router.websocket("/ws/chat")
async def chat_ws(websocket: WebSocket):
await websocket.accept()
try:
data = await websocket.receive_text()
parsed = json.loads(data)
prompt = parsed.get("prompt")
if not prompt:
await websocket.send_text("⚠️ Prompt vacío.")
await websocket.close()
return
# ✅ Solución: hacer await antes de iterar
respuesta_gen = await agente.interactuar_en_bucle(prompt=prompt, stream=True)
async for token in respuesta_gen:
await websocket.send_text(token)
await websocket.close()
except WebSocketDisconnect:
logger.info("🔌 WebSocket desconectado por el cliente.")
except Exception as e:
logger.exception("❌ Error en WebSocket:")
await websocket.close()