Local LLM:
- user_settings.py: per-user hosts/models config (local_llm.json)
- routers/local_llm.py + static/local_llm.html: dedicated settings page
- llm_client.py: local OpenAI-compatible backend via httpx
- config.py: LOCAL_API_URL/KEY/MODEL + per-backend timeouts
- Active model shown near backend toggle (amber hint text)
Memory distillation:
- memory_distiller.py: DISTILL_BACKEND_MID/LONG .env overrides
- scheduler.py + notification.py: notify NC Talk after mid/long distill
- notification.py: outbound channel abstraction (NC Talk, extensible)
Session search:
- routers/files.py: GET /sessions/search?q= with excerpts grouped by date
- static/index.html + app.js: search UI in file sidebar with highlight
- _esc() helper to prevent XSS in search results
Proactive cron:
- cron_runner.py: new job types — message (send directly) and brief (LLM + send)
- Both support optional per-job channel override
Channels:
- routers/nextcloud_talk.py: consolidated using notification._send_nct_message()
- routers/auth.py: local backend status in /auth/status
- routers/chat.py: /backend returns {primary, fallback, local_model} object
UI / UX:
- Copy button for user messages (matching assistant)
- Autocomplete disabled on sensitive form fields
- settings.html: local model section replaced with link to /settings/local
Docs overhaul:
- MASTER.md hub + ARCH__SYSTEM/BACKENDS/PERSONA/CHANNELS/FUTURE.md
- ARCH__Intelligence_Layer.md replaced with redirect table
- CORTEX.md trimmed to vision only; README updated
- OPEN_WEBUI_API.md added to docs/
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
148 lines
5.4 KiB
Python
148 lines
5.4 KiB
Python
"""
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Auto memory distillation scheduler.
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Default schedule (all overridable via .env flags):
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short — daily at 03:00 (no LLM — fast)
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mid — weekly Sun at 03:30 (LLM call)
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long — monthly 1st at 04:00 (LLM call — off by default)
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Set AUTO_DISTILL=false to disable entirely.
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Set AUTO_DISTILL_LONG=true to enable monthly long-term integration.
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"""
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import logging
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from zoneinfo import ZoneInfo
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from apscheduler.schedulers.asyncio import AsyncIOScheduler
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from config import settings
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logger = logging.getLogger(__name__)
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_scheduler: AsyncIOScheduler | None = None
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async def _run_short() -> None:
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from memory_distiller import distill_short
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try:
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result = distill_short()
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logger.info("auto distill short: %d files, %d chars", result["files_included"], result["chars_written"])
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except Exception as e:
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logger.error("auto distill short failed: %s", e)
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async def _run_mid() -> None:
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from memory_distiller import distill_mid
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from notification import notify
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try:
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result = await distill_mid()
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if "error" in result:
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logger.warning("auto distill mid skipped: %s", result["error"])
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else:
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logger.info("auto distill mid: %d chars via %s", result["chars_written"], result["backend"])
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await notify(result["username"], f"📝 Weekly memory digest complete ({result['chars_written']} chars via {result['backend']}).")
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except Exception as e:
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logger.error("auto distill mid failed: %s", e)
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async def _run_long() -> None:
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from memory_distiller import distill_long
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from notification import notify
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try:
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result = await distill_long()
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if "error" in result:
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logger.warning("auto distill long skipped: %s", result["error"])
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else:
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logger.info("auto distill long: %d chars via %s", result["chars_written"], result["backend"])
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await notify(result["username"], f"🧠 Monthly long-term memory integration complete ({result['chars_written']} chars via {result['backend']}). Worth a quick review.")
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except Exception as e:
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logger.error("auto distill long failed: %s", e)
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def get_scheduler() -> AsyncIOScheduler | None:
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"""Return the running scheduler instance (used by cron tools for live add/remove)."""
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return _scheduler
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def start() -> None:
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global _scheduler
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_scheduler = AsyncIOScheduler(timezone=ZoneInfo(settings.scheduler_timezone))
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if not settings.auto_distill:
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logger.info("auto distillation disabled (AUTO_DISTILL=false)")
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if settings.auto_distill_short:
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_scheduler.add_job(_run_short, "cron", hour=3, minute=0, id="distill_short")
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logger.info("scheduled: distill_short daily at 03:00")
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if settings.auto_distill_mid:
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_scheduler.add_job(_run_mid, "cron", day_of_week="sun", hour=3, minute=30, id="distill_mid")
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logger.info("scheduled: distill_mid weekly Sun at 03:30")
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if settings.auto_distill_long:
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_scheduler.add_job(_run_long, "cron", day=1, hour=4, minute=0, id="distill_long")
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logger.info("scheduled: distill_long monthly on 1st at 04:00")
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# Load user-defined cron jobs from CRONS.json
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_load_user_crons()
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_scheduler.start()
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logger.info("scheduler started (%d jobs)", len(_scheduler.get_jobs()))
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def _load_user_crons() -> None:
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"""Register all enabled user-defined cron jobs across all users and personas."""
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import asyncio
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try:
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from cron_runner import load_crons, parse_schedule, run_job
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from persona import list_users, list_user_personas
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except ImportError as e:
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logger.warning("could not import cron modules: %s", e)
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return
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total = 0
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persona_count = 0
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for username in list_users():
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for persona_name in list_user_personas(username):
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persona_count += 1
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for job in load_crons(username, persona_name):
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if not job.get("enabled", True):
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continue
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# Ensure user + persona are stamped on the job for run_job() path resolution
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job.setdefault("user", username)
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job.setdefault("persona", persona_name)
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try:
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kwargs = parse_schedule(job["schedule"])
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sched_id = f"{username}:{persona_name}:{job['id']}"
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_scheduler.add_job(
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lambda j=job: asyncio.ensure_future(run_job(j)),
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"cron",
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id=sched_id,
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replace_existing=True,
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**kwargs,
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)
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total += 1
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except Exception as e:
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logger.warning("cron %s/%s/%s skipped: %s", username, persona_name, job.get("id"), e)
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if total:
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logger.info("loaded %d user cron job(s) across %d persona(s)", total, persona_count)
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def stop() -> None:
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global _scheduler
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if _scheduler and _scheduler.running:
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_scheduler.shutdown(wait=False)
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logger.info("auto distillation scheduler stopped")
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def status() -> list[dict]:
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"""Return next-run info for all scheduled jobs."""
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if not _scheduler or not _scheduler.running:
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return []
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jobs = []
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for job in _scheduler.get_jobs():
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next_run = job.next_run_time
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jobs.append({
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"id": job.id,
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"next_run": next_run.isoformat() if next_run else None,
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})
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return jobs
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