Architectural snapshot of the lakehouse codebase at the point where the
full matrix-driven agent loop with Mem0 versioning + deletion was
validated end-to-end.
WHAT THIS REPO IS
A clean single-commit snapshot of the lakehouse code. Heavy test data
(.parquet datasets, vector indexes) excluded — see REPLICATION.md for
regen path. Full lakehouse history at git.agentview.dev/profit/lakehouse.
WHAT WAS PROVEN
- Vector retrieval across multi-corpora matrix (chicago_permits + entity
briefs + sec_tickers + distilled procedural + llm_team runs)
- Observer hand-review (cloud + heuristic fallback) gating each candidate
- Local-model agent loop (qwen3.5:latest) with tool use + scratchpad
- Playbook seal on success → next-iter retrieval surfaces it as preamble
- Mem0 versioning + deletion in pathway_memory:
* UPSERT: ADD on new workflow, UPDATE bumps replay_count on identical
* REVISE: chains versions, parent.superseded_at + superseded_by stamped
* RETIRE: marks specific trace retired with reason, excluded from retrieval
* HISTORY: walks chain root→tip, cycle-safe
KEY DIRECTORIES
- crates/vectord/src/pathway_memory.rs — Mem0 ops live here
- crates/vectord/src/playbook_memory.rs — original Mem0 reference
- tests/agent_test/ — local-model agent harness + PRD + session archives
- scripts/dump_raw_corpus.sh — MinIO bucket dump (raw test corpus)
- scripts/vectorize_raw_corpus.ts — corpus → vector indexes
- scripts/analyze_chicago_contracts.ts — real inference pipeline
- scripts/seal_agent_playbook.ts — Mem0 upsert from agent traces
Replication: see REPLICATION.md for Debian 13 clean install + cloud-only
adaptation (no local Ollama).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
59 lines
2.1 KiB
JSON
59 lines
2.1 KiB
JSON
{
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"client": "Ironclad Industrial",
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"date": "2026-04-22",
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"events": [
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{
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"kind": "baseline_fill",
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"at": "07:00",
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"role": "Electrician",
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"count": 5,
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"city": "Gary",
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"state": "IN",
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"shift_start": "07:00 AM",
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"scenario_note": "Gary IN has ZERO Electricians in the index. Local WILL fail this. Cloud should diagnose no-supply and recommend pivoting to Chicago IL (40min drive) or relaxing to 'Maintenance Tech'."
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},
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{
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"kind": "expansion",
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"at": "09:30",
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"role": "Safety Coordinator",
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"count": 8,
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"city": "Peoria",
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"state": "IL",
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"shift_start": "09:30 AM",
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"scenario_note": "Safety Coordinator is the rarest role overall (~4500 nationally). 8× in a mid-sized city with availability > 0.5 is genuinely tight. Cloud should either confirm or suggest multi-city sourcing."
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},
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{
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"kind": "emergency",
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"at": "11:45",
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"role": "Welder",
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"count": 3,
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"city": "Flint",
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"state": "MI",
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"shift_start": "12:00 PM",
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"deadline": "13:30",
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"scenario_note": "Flint MI has ZERO workers indexed — total data desert. Cloud must flag 'impossible supply' and recommend pivot (Detroit 60mi, Saginaw 40mi)."
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},
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{
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"kind": "expansion",
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"at": "14:00",
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"role": "Tool & Die Maker",
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"count": 4,
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"city": "Grand Rapids",
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"state": "MI",
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"shift_start": "14:00 PM",
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"scenario_note": "Tool & Die Maker is scarce (~9000 total). 4× in Grand Rapids, availability > 0.5 AND reliability > 0.75. Tight but solvable if playbook_memory has history; cloud should prioritize proven performers."
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},
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{
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"kind": "misplacement",
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"at": "15:30",
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"role": "Electrician",
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"count": 1,
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"city": "Gary",
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"state": "IN",
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"shift_start": "15:30 PM",
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"replaces_event": "07:00",
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"scenario_note": "Refilling 1× Electrician in Gary after a no-show. Same data desert as event 1 — cloud should recognize the repeat and recommend the SAME pivot it gave earlier, proving it learns within-run."
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}
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]
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}
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