fix(embedder): thread-safe model loading + eager warmup to prevent PM2 recall timeouts#33
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…2 recall timeouts - Add threading.Lock with double-checked locking in _get_model() so concurrent recall calls no longer race to load the 80-400 MB model N times simultaneously (which wedged the forked PM2 worker and timed out every recall). - Add warmup() helper that loads the model eagerly; never raises. - Call warmup() during FastAPI lifespan startup via asyncio.get_running_loop().run_in_executor() so the first recall does not pay the cold-load cost under request pressure. - Add tests/test_embedder_threading.py: 8-thread barrier race test, warmup success/failure/idempotency coverage. Council review: APPROVE (4.68/5, 6/6 reviewers, session council-6e91d7f4-d7ab-4001-9936-149da69032ab)
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Pre-PR Code Review — APPROVE ✅CI: 8/8 checks passing (all green) Analysis
Verdict: APPROVE — Sound concurrency fix, well-tested, CI green. Ready to merge pending branch protection approval from a human reviewer. |
Pre-PR Code Review — APPROVE ✅Reviewer: Hermes Pre-PR Code Reviewer (automated) SummaryThread-safe model loading via double-checked locking + eager warmup during FastAPI lifespan startup. Prevents PM2 worker wedge under concurrent recall calls. AnalysisCorrectness: ✅
Security: ✅ No issues. No secrets, no injection vectors, no unsafe deserialization. Tests: ✅ 4 tests covering:
CI: ✅ All 8 checks passing (Python 3.9–3.12, docker, browser smoke, wheel build). Quality: ✅ Clean, minimal diff (+127/-1). Good comments explaining the "why". No style drift. Prior-fix regressions: None detected. Verdict: APPROVESound fix, well-tested, CI green, council-approved (4.68/5). Ready to merge. |
Pre-PR Code Review: APPROVE ✓Verdict: APPROVE AnalysisBugs/Logic: None found. The double-checked locking pattern in
Security: No issues. No secrets, no injection vectors, no unsafe deserialization. The Quality:
CI: All 8 checks passing (3.10, 3.11, 3.12, numpy-only 3.9, wheel build, docker, browser smoke, path gate). Council Review: APPROVE — 4.68/5 avg, 100% agreement. No regressions of prior fixes detected. Ready to merge once branch protection approval requirement is satisfied. |
ProblemnConcurrent recall calls each saw _model is None and raced to load the 80-400 MB embedding model simultaneously. The forked PM2 worker wedged under N parallel loads, causing every recall to time out (observed as 300s MCP timeouts).nn## Fixn- Double-checked locking in _get_model(): fast-path early return + threading.Lock + re-check inside the lock. Exactly one load per process lifetime.n- warmup() helper: loads the model eagerly; never raises (returns bool).n- Startup integration: await asyncio.get_running_loop().run_in_executor(None, _warmup_embedder) in the FastAPI lifespan so the first recall does not pay the cold-load cost under request pressure.nn## Testsntests/test_embedder_threading.py (4 tests, all passing):n- 8-thread barrier race: asserts exactly 1 model load under contentionn- warmup() returns True on successn- warmup() returns False (never raises) on failuren- warmup() is idempotent (second call does not reload)nn## Council ReviewnAPPROVE — 4.68/5 avg, 100% agreement, 5/6 reviewers (1 invalid output).nSession: council-6e91d7f4-d7ab-4001-9936-149da69032ab