Atomic extract-and-connect (lib/connect.py):
- After extraction writes claim files, each new claim is embedded via
OpenRouter, searched against Qdrant, and top-5 neighbors (cosine > 0.55)
are added as `related` edges in the claim's frontmatter
- Edges written on NEW claim only — avoids merge conflicts
- Cross-domain connections enabled, non-fatal on Qdrant failure
- Wired into openrouter-extract-v2.py post-extraction step
Stale PR monitor (lib/stale_pr.py):
- Every watchdog cycle checks open extract/* PRs
- If open >30 min AND 0 claim files → auto-close with comment
- After 2 stale closures → marks source as extraction_failed
- Wired into watchdog.py as check #6
Response audit system:
- response_audit table (migration v8), persistent audit conn in bot.py
- 90-day retention cleanup, tool_calls JSON column
- Confidence tag stripping, systemd ReadWritePaths for pipeline.db
Supporting infrastructure:
- reweave.py: nightly edge reconnection for orphan claims
- reconcile-sources.py: source status reconciliation
- backfill-domains.py: domain classification backfill
- ops/reconcile-source-status.sh: operational reconciliation script
- Attribution improvements, post-extract enrichments, merge improvements
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- embed-claims.py: bulk embeds all claims/decisions/entities into Qdrant
via OpenRouter (openai/text-embedding-3-small, 1536 dims)
- diagnostics/app.py: search endpoint switched from OpenAI direct to
OpenRouter (same key as LLM calls, no new credentials)
- Qdrant running on VPS (Docker, port 6333, persistent storage)
- Collection: teleo-claims, cosine distance, 1536 dims
854 files to embed. Bulk backfill running.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
