jbergner
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32 lines
1.8 KiB
Plaintext
32 lines
1.8 KiB
Plaintext
NeuroForge v0.7.0 validation
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Date: 2026-08-17
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PASS go test ./...
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PASS go vet ./...
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PASS go test -race ./internal/store
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PASS go test -race ./internal/brain
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PASS go test -race ./internal/httpapi
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PASS go test -race ./internal/vector
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PASS Admin JavaScript syntax (node --check)
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PASS OpenAPI 3.1 YAML parse; version 0.7.0; 60 paths
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PASS Linux amd64 static builds: server, worker, benchmark
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PASS Runtime release-binary smoke: /readyz, /admin security headers, learning-policy API, /metrics auth/export, graceful SIGTERM shutdown
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PASS Admin token absent from runtime log
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PASS Knowledge Explorer integration: /learn -> provenance summary -> explainable knowledge search
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PASS Learning Policy: blocks explicit learn before provider call
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PASS Learning Policy: duplicate suppression
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PASS Learning Policy: strongly negative assistant response archival
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PASS Secrets masked by default
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PASS Knowledge Event persistence across restart
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PASS Explainable SearchHit score decomposition
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PASS Sequential PQ migration scanner: latest live vectors only; archived/deleted records excluded
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Operational caveats / deliberate boundaries:
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- TLS and per-client/IP rate limiting belong at a reverse proxy/ingress.
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- /readyz validates configured routes and cluster readiness; it intentionally does not perform network calls to Ollama/OpenAI on each probe.
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- Knowledge Graph is browser-bounded (max 250 nodes), not a renderer for the entire database.
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- Opening Knowledge Explorer summary may perform a metadata scan over the store; normal /metrics scrapes do not.
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- Existing pre-v0.7 memories do not gain invented provenance; they appear as legacy/unknown.
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- Cluster remains Raft-like rather than a claim of complete Raft consensus/log matching.
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- Disk-PQ remains an approximate candidate generator; returned candidates are exact-reranked against original vectors when available.
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