Self-hosted knowledge management for SMEs: a split-screen Markdown editor whose sections an LLM refines while you write, and RAG question answering over the documents that result. FastAPI + Postgres/pgvector on the back, SvelteKit on the front, everything OpenAI-compatible and self-hostable. Squashed into a single commit; the development history stays local. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CA43ZJda8Rbp2hKXNy8f6b
20 lines
528 B
Python
20 lines
528 B
Python
"""What the running process has counted so far."""
|
|
|
|
from typing import Any
|
|
|
|
from app.api.admin.routing import admin_router
|
|
from app.metrics import metrics
|
|
|
|
router = admin_router()
|
|
|
|
|
|
@router.get("/metrics")
|
|
async def metrics_snapshot() -> dict[str, Any]:
|
|
"""The in-process metrics registry as JSON.
|
|
|
|
Per process by design (the app runs one worker), and admin-only: the
|
|
counters name models and durations, which is operational detail rather
|
|
than something to expose publicly.
|
|
"""
|
|
return metrics.snapshot()
|