b2e45f7f26
The 5-loop substrate's load-bearing gate is verified — playbook +
matrix indexer give the results we're looking for. Per the report's
rubric, lift ≥ 50% of discoveries means matrix is doing real work;
7/8 = 87.5% blew through that.
Harness was structurally hiding bugs behind a 5-daemon stripped boot.
Expanding to the full 10-daemon prod stack surfaced 7 fixes in cascade:
1. driver→matrixd: {"query": ...} → {"query_text": ...} field name
2. harness temp toml missing [s3] → wrong default bucket → catalogd
rehydrate 500 on first call
3. harness→queryd SQL probe: {"q": ...} → {"sql": ...} field name
4. expand boot from 5 → 10 daemons in dep-ordered launch
5. add SQL surface probe (3-row CSV ingest → COUNT(*)=3 assertion)
6. candidates corpus was synthetic SWE-tech (Swift/iOS, Scala/Spark) —
wrong domain for staffing queries; replaced with ethereal_workers
(10K rows, real staffing schema, "e-" id prefix to avoid collision
with workers' "w-"). staffing_workers driver gains -index-name +
-id-prefix flags so the same binary serves both corpora
7. local_judge qwen3.5:latest is a vision-SSM 256K-ctx build running
~30s per judge call against the lift loop; reverted to
qwen2.5:latest (~1s/call, 30× faster, held lift theory)
Each contract drift (1, 3) is now locked into a cmd/<bin>/main_test.go
so future drift fires in `go test`, not in a reality run. R-005 closed:
- cmd/matrixd/main_test.go (new) — playbook record drift detector +
score bounds + 6 routes mounted
- cmd/queryd/main_test.go — wrong-field-name drift detector
- cmd/pathwayd/main_test.go (new) — 9 routes + add round-trip + retire
- cmd/observerd/main_test.go (new) — 4 routes + invalid-op + unknown-mode
`go test ./cmd/{matrixd,queryd,pathwayd,observerd}` all green.
Reality test results (reports/reality-tests/playbook_lift_001.{json,md}):
Queries 21 (staffing-domain, 7 categories)
Discoveries 8 (judge ≠ cosine top-1)
Lifts 7/8 (87.5%)
Boosts triggered 9
Mean Δ distance -0.053 (warm closer than cold)
OOD honesty dental/RN/SWE rated 1, no fake matches
Cross-corpus boosts confirmed (e- ↔ w- swaps in lifts)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
156 lines
5.9 KiB
TOML
156 lines
5.9 KiB
TOML
# Lakehouse-Go config — G0 dev defaults. Overrides via env are a
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# G1+ concern; for G0 edit this file and restart the affected service.
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# G0 dev ports — shifted to 3110+ so the Go services run alongside
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# the live Rust lakehouse on 3100/3201-3204 without colliding. G5
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# (demo cutover) flips gateway back to 3100 when Rust retires.
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[gateway]
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bind = "127.0.0.1:3110"
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storaged_url = "http://127.0.0.1:3211"
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catalogd_url = "http://127.0.0.1:3212"
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ingestd_url = "http://127.0.0.1:3213"
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queryd_url = "http://127.0.0.1:3214"
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vectord_url = "http://127.0.0.1:3215"
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embedd_url = "http://127.0.0.1:3216"
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pathwayd_url = "http://127.0.0.1:3217"
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matrixd_url = "http://127.0.0.1:3218"
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observerd_url = "http://127.0.0.1:3219"
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chatd_url = "http://127.0.0.1:3220"
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[storaged]
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bind = "127.0.0.1:3211"
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[catalogd]
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bind = "127.0.0.1:3212"
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storaged_url = "http://127.0.0.1:3211"
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[ingestd]
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bind = "127.0.0.1:3213"
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storaged_url = "http://127.0.0.1:3211"
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catalogd_url = "http://127.0.0.1:3212"
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# CSV uploads are ~4-6× the resulting Parquet. 256 MiB cap keeps the in-memory
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# parse + Arrow + Parquet output footprint bounded. Bump for known large
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# datasets (e.g. workers_500k → 344 MiB CSV needs 512 MiB).
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max_ingest_bytes = 268435456
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[vectord]
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bind = "127.0.0.1:3215"
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# Optional — set to empty string to disable persistence (dev/test).
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storaged_url = "http://127.0.0.1:3211"
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[embedd]
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bind = "127.0.0.1:3216"
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# G2: Ollama local. G3+ may swap in OpenAI/Voyage by changing
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# this URL + the wire format inside the provider.
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provider_url = "http://localhost:11434"
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default_model = "nomic-embed-text"
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[queryd]
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bind = "127.0.0.1:3214"
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catalogd_url = "http://127.0.0.1:3212"
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secrets_path = "/etc/lakehouse/secrets-go.toml"
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refresh_every = "30s"
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[pathwayd]
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bind = "127.0.0.1:3217"
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# Empty = in-memory only (dev/test). Production sets a path under
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# /var/lib/lakehouse/pathway/state.jsonl so traces survive restart.
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persist_path = ""
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[matrixd]
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bind = "127.0.0.1:3218"
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# matrixd calls embedd (query-text → vector) and vectord (per-corpus
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# search) directly. Localhost defaults; in distributed deployments
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# these point at the gateway's upstream addresses.
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embedd_url = "http://127.0.0.1:3216"
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vectord_url = "http://127.0.0.1:3215"
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[observerd]
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bind = "127.0.0.1:3219"
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# Empty = in-memory only (dev/test). Production sets a path under
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# /var/lib/lakehouse/observer/ops.jsonl so ops survive restart.
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persist_path = ""
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[chatd]
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# LLM chat dispatcher (Phase 4). Routes /v1/chat to the right provider
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# based on model name prefix or :cloud suffix:
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# ollama/<model> → local Ollama (no auth)
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# ollama_cloud/<model> → Ollama Cloud
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# <model>:cloud → Ollama Cloud (suffix variant)
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# openrouter/<vendor>/<m> → OpenRouter
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# opencode/<model> → OpenCode (Zen+Go unified)
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# kimi/<model> → Kimi For Coding
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# bare names (e.g. qwen3.5:latest) → local Ollama (default)
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bind = "127.0.0.1:3220"
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ollama_url = "http://localhost:11434"
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# Per-provider key resolution: env var first, then .env file fallback.
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# Empty file path skips the file lookup. systemd EnvironmentFile=
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# loads these natively, so service runtime sees the env vars.
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ollama_cloud_key_env = "OLLAMA_CLOUD_KEY"
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openrouter_key_env = "OPENROUTER_API_KEY"
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opencode_key_env = "OPENCODE_API_KEY"
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kimi_key_env = "KIMI_API_KEY"
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ollama_cloud_key_file = "/etc/lakehouse/ollama_cloud.env"
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openrouter_key_file = "/etc/lakehouse/openrouter.env"
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opencode_key_file = "/etc/lakehouse/opencode.env"
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kimi_key_file = "/etc/lakehouse/kimi.env"
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# Per-call timeout (seconds). Cloud reasoning models can take >60s
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# for long prompts, so 180 is the default.
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timeout_secs = 180
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[s3]
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endpoint = "http://localhost:9000"
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region = "us-east-1"
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bucket = "lakehouse-go-primary" # G0 dedicated bucket so Rust + Go coexist
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access_key_id = "" # populated by SecretsProvider from /etc/lakehouse/secrets-go.toml
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secret_access_key = "" # ditto
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use_path_style = true
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[log]
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level = "info"
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# Model tier registry — names map to actual model IDs per the small-
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# model pipeline architecture (project_small_model_pipeline_vision.md).
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# Bumping a model means editing one line here, not hunting through code.
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#
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# Tier philosophy:
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# - local_* : on-box Ollama. Inner-loop hot path. Repeated calls.
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# - cloud_* : Ollama Cloud (Pro plan). Larger context, fail-up tier.
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# - frontier_* : OpenRouter / OpenCode. Rate-limited, billed per call.
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# Reserved for blockers and full-scope reviews.
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#
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# weak_models is the codified "local-hot-path eligible" list that the
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# matrix.downgrade gate reads. A model in this list bypasses the
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# strong-model downgrade rule (it's already weak — no need to downgrade
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# corpora further).
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[models]
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# Tier 1 — local hot path
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local_fast = "qwen3.5:latest"
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local_embed = "nomic-embed-text"
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# local_judge stays on qwen2.5:latest — qwen3.5:latest is a vision-SSM
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# build with 256K context that runs ~30s per judge call against the
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# playbook_lift loop (verified 2026-04-30). qwen2.5:latest at ~1s/call
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# is 30× faster and held lift theory across the 21-query reality test
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# (7/8 lift, 87.5%). The 8de94eb "bump qwen2.5 → qwen3.5" was a casual
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# version-up; this revert is workload-specific.
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local_judge = "qwen2.5:latest"
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local_review = "qwen3.5:latest"
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# Tier 2 — Ollama Cloud (Pro). kimi-k2:1t still upstream-broken;
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# deepseek/kimi-k2.6/qwen3-coder are the working primaries.
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cloud_judge = "kimi-k2.6:cloud"
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cloud_review = "qwen3-coder:480b"
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cloud_strong = "deepseek-v3.2"
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# Tier 3 — frontier. Use sparingly; rate-limited + per-call billing.
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frontier_review = "openrouter/anthropic/claude-opus-4-7"
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frontier_arch = "openrouter/moonshotai/kimi-k2-0905"
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frontier_strong = "openrouter/openai/gpt-5"
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frontier_free = "opencode/claude-opus-4-7"
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# Local-hot-path eligible — matrix.downgrade bypass list.
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weak_models = ["qwen3.5:latest", "qwen3:latest"]
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