Add auto memory distillation scheduler (APScheduler)
- scheduler.py: AsyncIOScheduler with three cron jobs
short daily 03:00 (no LLM, always fast)
mid weekly Sun 03:30 (LLM)
long monthly 1st 04:00 (LLM — off by default)
- config.py: AUTO_DISTILL, AUTO_DISTILL_SHORT/MID/LONG .env flags
- main.py: start/stop scheduler in FastAPI lifespan
- routers/distill.py: GET /distill/status — next run times + config
- requirements.txt: apscheduler>=3.10
- HELP.md: updated planned items, added /distill/status to API table
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -26,6 +26,13 @@ class Settings(BaseSettings):
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nextcloud_talk_bot_secret: str = "" # set in .env
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nextcloud_talk_timeout: int = 55
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# Auto-distillation schedule — override in .env
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# AUTO_DISTILL=false disables entirely
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auto_distill: bool = True
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auto_distill_short: bool = True # daily at 03:00 — rolls session logs → MEMORY_SHORT
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auto_distill_mid: bool = True # weekly Sunday at 03:30 — LLM summarizes short → mid
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auto_distill_long: bool = False # monthly 1st at 04:00 — off by default (manual review recommended)
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# Memory tier token budgets — soft caps used during distillation
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# Override in .env: MEMORY_BUDGET_LONG=4000 etc.
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memory_budget_long: int = 2000
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@@ -13,7 +13,10 @@ from routers import chat, google_chat, nextcloud_talk, files, distill
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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import scheduler
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scheduler.start()
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yield
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scheduler.stop()
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from llm_client import cleanup
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await cleanup()
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@@ -1,4 +1,5 @@
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fastapi>=0.115.0
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apscheduler>=3.10
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uvicorn[standard]>=0.30.0
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pydantic-settings>=2.0.0
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python-dotenv>=1.0.0
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@@ -8,10 +8,26 @@ Manual memory distillation endpoints.
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"""
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from fastapi import APIRouter
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from memory_distiller import distill_short, distill_mid, distill_long
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import scheduler
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router = APIRouter(prefix="/distill")
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@router.get("/status")
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async def distill_status() -> dict:
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"""Show auto-distillation schedule and next run times."""
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from config import settings
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return {
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"enabled": settings.auto_distill,
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"jobs": scheduler.status(),
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"config": {
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"short": settings.auto_distill_short,
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"mid": settings.auto_distill_mid,
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"long": settings.auto_distill_long,
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},
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}
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@router.post("/short")
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async def do_distill_short() -> dict:
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return {"ok": True, **distill_short()}
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99
cortex/scheduler.py
Normal file
99
cortex/scheduler.py
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@@ -0,0 +1,99 @@
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"""
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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 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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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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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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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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except Exception as e:
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logger.error("auto distill long failed: %s", e)
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def start() -> None:
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global _scheduler
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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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return
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_scheduler = AsyncIOScheduler(timezone="local")
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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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if _scheduler.get_jobs():
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_scheduler.start()
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logger.info("auto distillation scheduler started (%d jobs)", len(_scheduler.get_jobs()))
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else:
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logger.info("auto distillation: no jobs enabled")
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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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