Files
Loki/backend/app/routes/chat.py
T
MichaelandClaude Opus 4.8 5c1b92daa3 Ajoute un interrupteur « Mode réflexion » (think) pour les modèles thinking
Certains modèles « thinking » ne renvoyaient que du raisonnement, sans reponse
finale -> erreur. Nouvel interrupteur global `think` (Reglages > Generation) :
- think=false envoie `think:false` a Ollama pour desactiver le raisonnement
- repli automatique si le modele refuse le parametre (does not support thinking)
- message d'erreur mis a jour pour pointer vers l'interrupteur

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-30 14:29:18 +02:00

161 lines
5.2 KiB
Python

"""Route de conversation agentique : boucle d'outils + streaming SSE.
Flux :
1. on enregistre le message utilisateur ;
2. on lance la boucle agentique (run_agent) sur l'historique de la session ;
3. on relaie tokens et événements d'outils au client (SSE) ;
4. on enregistre la réponse finale de l'assistant + le récap des outils.
"""
from __future__ import annotations
import asyncio
import json
import logging
from contextlib import suppress
from fastapi import APIRouter, HTTPException
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from .. import agent_config, db
from ..agent import run_agent
from ..config import settings
router = APIRouter(prefix="/api", tags=["chat"])
logger = logging.getLogger(__name__)
class ChatRequest(BaseModel):
session_id: str
content: str
model: str | None = None
def _sse(event: str, data: dict) -> str:
return f"event: {event}\ndata: {json.dumps(data, ensure_ascii=False)}\n\n"
@router.post("/chat")
async def chat(req: ChatRequest) -> StreamingResponse:
session = db.get_session(req.session_id)
if not session:
raise HTTPException(404, "session introuvable")
model = req.model or session.get("model") or settings.default_model
cfg = agent_config.get_config(model)
# Premier message : titre la session avec un extrait.
if not db.list_messages(req.session_id):
title = req.content.strip().split("\n")[0][:60] or "Nouvelle session"
db.rename_session(req.session_id, title)
db.add_message(req.session_id, "user", req.content, None)
convo = [{"role": "system", "content": cfg["system_prompt"]}]
convo += db.list_messages_for_model(req.session_id)
async def event_stream():
yield _sse("start", {"model": model})
final_content = ""
tools_meta: list[dict] = []
stats_meta: dict | None = None
thinking_meta = ""
error_message = ""
queue: asyncio.Queue[dict | None] = asyncio.Queue()
async def produce_events() -> None:
try:
async for event in run_agent(
model,
convo,
options=agent_config.ollama_options(cfg),
enabled_tools=agent_config.enabled_tool_names(cfg),
confirm_shell=cfg.get("confirm_shell", True),
think=cfg.get("think", True),
):
await queue.put(event)
except Exception as exc:
logger.exception("Échec inattendu du flux de chat")
await queue.put(
{
"type": "error",
"message": f"Erreur interne du chat : {exc}",
}
)
finally:
await queue.put(None)
producer = asyncio.create_task(produce_events())
try:
while True:
try:
ev = await asyncio.wait_for(queue.get(), timeout=15.0)
except TimeoutError:
# Empêche OpenResty/Nginx/Cloudflare de fermer le SSE pendant
# le chargement parfois long d'un modèle Ollama.
yield _sse("ping", {"status": "waiting"})
continue
if ev is None:
break
etype = ev.pop("type")
if etype in (
"token",
"thinking",
"status",
"notice",
"tool_call",
"tool_result",
"tool_confirm",
):
yield _sse(etype, ev)
elif etype == "error":
error_message = ev.get("message", "Erreur Ollama inconnue")
yield _sse("error", {"message": error_message})
elif etype == "final":
final_content = ev["content"]
tools_meta = ev["tools"]
stats_meta = ev.get("stats")
thinking_meta = ev.get("thinking", "")
finally:
if not producer.done():
producer.cancel()
with suppress(asyncio.CancelledError):
await producer
if final_content or tools_meta:
meta: dict = {}
if tools_meta:
meta["tools"] = tools_meta
if stats_meta:
meta["stats"] = stats_meta
if thinking_meta:
meta["thinking"] = thinking_meta
db.add_message(
req.session_id,
"assistant",
final_content,
model,
meta=meta or None,
)
yield _sse(
"done",
{
"content": final_content,
"tools": tools_meta,
"stats": stats_meta,
"error": error_message or None,
},
)
return StreamingResponse(
event_stream(),
media_type="text/event-stream",
headers={
"Cache-Control": "no-cache, no-transform",
"X-Accel-Buffering": "no",
},
)