Files
FabledGrimoire/src/fabledassistant/app.py
T
bvandeusenandClaude Sonnet 4.6 b23e78b0ac Warm both chat and intent models into VRAM on startup
ensure_model only downloads a model if missing; it does not load it
into VRAM. The frontend warm call only covers the chat model (and only
after a user opens the dashboard). This left qwen2.5:1.5b (intent) cold,
causing simultaneous cold-load 500s when the first chat arrived.

Now both Config.OLLAMA_MODEL and Config.OLLAMA_INTENT_MODEL are warmed
at startup (after ensuring they're installed) via a fire-and-forget
/api/generate call with keep_alive=30m. The embedding model is still
pulled but not warmed (it's loaded on demand during backfill).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-25 23:18:07 -05:00

204 lines
7.9 KiB
Python

import logging
import time
import traceback as tb_module
from pathlib import Path
import httpx
from quart import Quart, g, jsonify, make_response, request, send_from_directory
from fabledassistant.config import Config
from fabledassistant.routes.admin import admin_bp
from fabledassistant.routes.api import api
from fabledassistant.routes.auth import auth_bp
from fabledassistant.routes.chat import chat_bp
from fabledassistant.routes.notes import notes_bp
from fabledassistant.routes.settings import settings_bp
from fabledassistant.routes.tasks import tasks_bp
STATIC_DIR = Path(__file__).parent / "static"
logger = logging.getLogger(__name__)
def create_app() -> Quart:
# Configure logging
logging.basicConfig(
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
level=getattr(logging, Config.LOG_LEVEL.upper(), logging.INFO),
)
app = Quart(__name__, static_folder=None)
app.secret_key = Config.SECRET_KEY
app.config["SESSION_COOKIE_HTTPONLY"] = True
app.config["SESSION_COOKIE_SAMESITE"] = "Lax"
app.config["SESSION_COOKIE_SECURE"] = Config.SECURE_COOKIES
if Config.SECRET_KEY == "dev-secret-change-me":
logger.warning(
"SECRET_KEY is set to the default value — session cookies are insecure. "
"Set SECRET_KEY or SECRET_KEY_FILE for production use."
)
app.register_blueprint(admin_bp)
app.register_blueprint(api)
app.register_blueprint(auth_bp)
app.register_blueprint(chat_bp)
app.register_blueprint(notes_bp)
app.register_blueprint(settings_bp)
app.register_blueprint(tasks_bp)
@app.before_request
async def before_request():
g.request_start = time.monotonic()
@app.after_request
async def after_request(response):
duration = time.monotonic() - getattr(g, "request_start", time.monotonic())
duration_ms = round(duration * 1000, 1)
logger.info(
"%s %s %s %.1fms",
request.method,
request.path,
response.status_code,
duration_ms,
)
# Log usage for API requests (skip logs endpoint to avoid recursion)
if request.path.startswith("/api/") and not request.path.startswith("/api/admin/logs"):
try:
from fabledassistant.services.logging import log_usage
user = getattr(g, "user", None)
await log_usage(
user_id=user.id if user else None,
username=user.username if user else None,
endpoint=request.path,
method=request.method,
status_code=response.status_code,
duration_ms=duration_ms,
)
except Exception:
logger.debug("Failed to log usage", exc_info=True)
response.headers.setdefault("X-Content-Type-Options", "nosniff")
response.headers.setdefault("X-Frame-Options", "DENY")
response.headers.setdefault("Referrer-Policy", "strict-origin-when-cross-origin")
response.headers.setdefault(
"Content-Security-Policy",
"default-src 'self'; script-src 'self' 'unsafe-inline'; "
"style-src 'self' 'unsafe-inline'; img-src 'self' data: blob:; "
"connect-src 'self'; font-src 'self' data:; object-src 'none'; base-uri 'self';"
)
return response
@app.before_serving
async def startup():
import asyncio
from fabledassistant.services.embeddings import backfill_note_embeddings
from fabledassistant.services.generation_buffer import start_cleanup_loop
from fabledassistant.services.llm import ensure_model
from fabledassistant.services.logging import start_log_retention_loop
from fabledassistant.services.notifications import start_notification_loop
start_cleanup_loop()
start_log_retention_loop()
start_notification_loop()
async def _pull_model(model: str, warm: bool = False) -> None:
try:
await ensure_model(model)
except Exception:
logger.warning(
"Failed to ensure model '%s' — chat may not work until model is available",
model,
exc_info=True,
)
return
if warm:
try:
async with httpx.AsyncClient(timeout=300.0) as client:
await client.post(
f"{Config.OLLAMA_URL}/api/generate",
json={"model": model, "prompt": "", "keep_alive": "30m"},
)
logger.info("Warmed model '%s' into VRAM", model)
except Exception:
logger.warning("Failed to warm model '%s'", model, exc_info=True)
# Pull main model and (if configured) a separate intent model concurrently,
# then warm them into VRAM so the first user request doesn't cold-load both
# simultaneously (which causes Ollama 500 races).
# Fire-and-forget so pulls/warming don't block startup.
models_to_warm = {Config.OLLAMA_MODEL}
if Config.OLLAMA_INTENT_MODEL and Config.OLLAMA_INTENT_MODEL != Config.OLLAMA_MODEL:
models_to_warm.add(Config.OLLAMA_INTENT_MODEL)
for _model in models_to_warm:
asyncio.create_task(_pull_model(_model, warm=True))
# Also pull the embedding model (nomic-embed-text by default), but no need to warm it.
if Config.EMBEDDING_MODEL not in models_to_warm:
asyncio.create_task(_pull_model(Config.EMBEDDING_MODEL, warm=False))
# After models are pulled, backfill embeddings for existing notes.
# Runs in the background so it never blocks the server from accepting requests.
async def _delayed_backfill() -> None:
await asyncio.sleep(30) # Give Ollama time to load the embedding model
try:
await backfill_note_embeddings()
except Exception:
logger.warning("Embedding backfill failed", exc_info=True)
asyncio.create_task(_delayed_backfill())
@app.route("/")
async def serve_index():
resp = await make_response(
await send_from_directory(STATIC_DIR, "index.html")
)
resp.headers["Cache-Control"] = "no-cache, no-store, must-revalidate"
return resp
@app.errorhandler(404)
async def handle_404(error):
# Return JSON 404 for API routes
if request.path.startswith("/api/"):
return jsonify({"error": "Not found"}), 404
# Try to serve static file
path = request.path.lstrip("/")
file_path = STATIC_DIR / path
if path and file_path.is_file():
return await send_from_directory(STATIC_DIR, path)
# SPA fallback
resp = await make_response(
await send_from_directory(STATIC_DIR, "index.html")
)
resp.headers["Cache-Control"] = "no-cache, no-store, must-revalidate"
return resp
@app.errorhandler(500)
async def handle_500(error):
logger.exception("Internal server error on %s %s", request.method, request.path)
try:
from fabledassistant.services.logging import log_error
user = getattr(g, "user", None)
await log_error(
user_id=user.id if user else None,
username=user.username if user else None,
endpoint=request.path,
method=request.method,
error_type=type(error).__name__,
error_message=str(error),
traceback=tb_module.format_exc(),
)
except Exception:
logger.debug("Failed to log error", exc_info=True)
if request.path.startswith("/api/"):
return jsonify({"error": "Internal server error"}), 500
return "Internal Server Error", 500
return app