3 Commits

Author	SHA1	Message	Date
root	21e8015b60	Phase 37: Hot-swap async + Phase 38: Universal API skeleton ... - JobTracker extended with JobType::ProfileActivation + Embed - activate_profile returns job_id immediately, work spawns in background - /v1/chat, /v1/usage, /v1/sessions endpoints (OpenAI-compatible) - Langfuse trace integration (Phase 40 early deliverable) - 12 gateway unit tests green, curl gates pass	2026-04-23 01:56:17 -05:00
root	1565f536eb	Fix: job tracker field name mismatch — the overnight killer ... ROOT CAUSE: Python scripts polled status.get("processed", 0) but the Rust Job struct serialized as "embedded_chunks". Scripts always saw 0, looped forever printing "unknown: 0/50000" for 8+ hours. Fix (both sides): - Rust: added "processed" alias field + "total" field to Job struct, kept in sync on every update_progress() and complete() call - Python: fixed autonomous_agent.py and overnight_proof.sh to read "embedded_chunks" as primary key The actual embedding pipeline was working the whole time — 673K real chunks embedded overnight. Only the monitoring was blind. One-word bug, 8 hours of zombie output. This is why you test the monitoring, not just the pipeline. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-04-17 10:41:32 -05:00
root	6a532cb248	Background job system for embedding — fixes 100K timeout ... - JobTracker: create/update/complete/fail jobs with progress tracking - POST /vectors/index now returns immediately with job_id (HTTP 202) - Embedding runs in tokio::spawn background task - GET /vectors/jobs/{id} returns live progress (chunks embedded, rate, ETA) - GET /vectors/jobs lists all jobs - Progress logged every 100 batches with chunks/sec and ETA - 100K embedding job running successfully at 44 chunks/sec - System stays responsive during embedding (queries in 23ms) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-27 09:03:07 -05:00