Qwen3/OpenRouter runtime switch + eval artifact recall guard

Result

• Branch: wip/openrouter-qwen3-embedding-pilot
• Commits: 004b64d, 5200ee8
• Runtime env: MAESTER_EMBEDDING_PROVIDER=openrouter, MAESTER_EMBEDDING_MODEL=qwen/qwen3-embedding-8b, MAESTER_EMBEDDING_DIM=4096, MAESTER_EMBEDDING_PROFILE=qwen3_8b
• Service: maester-api.service active, /api/health HTTP 200, ~0.03s, runtime truth pass
• Eval artifact doc hidden: research_20260620_9ecc7c with hidden_reason=eval_artifact
• Updated handoff ingested: decision_20260620_de86b3, public URL https://ai.shinjadong.cloud/docs/decision_20260620_de86b3
• Daglo partial Qwen coverage: about 191 docs / 550 chunks; exact content probe returns Daglo docs in top-5

Code Changes

• api.py: fixed health count query from node-edge fanout to independent CALL () subqueries
• graph/neo4j_client.py: added document-level hidden_from_recall filtering and helper
• scripts/backfill_vectors.py: added --env-file, graceful interrupt summary, and --doc-id

Next

1. Continue Daglo in 1,000 chunk batches with --skip-existing.
2. Run controlled Tiro raw backfill by project/date/source budget, not full 13k blindly.
3. Build labeled recall eval set before tuning vector/fulltext weights.
4. Mark future evaluation reports hidden if they are ingested.