ac01fffd9a
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>
61 lines
1.0 KiB
TOML
61 lines
1.0 KiB
TOML
# Phase 40: Routing Engine Configuration
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#
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# Human-editable rules for model → provider routing.
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# Matching order: first match wins.
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[[rule]]
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model_pattern = "gpt-4*"
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provider = "openrouter"
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max_tokens = 4096
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temperature = 0.7
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[[rule]]
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model_pattern = "claude*"
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provider = "claude"
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max_tokens = 4096
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temperature = 0.7
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[[rule]]
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model_pattern = "gemini*"
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provider = "gemini"
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max_tokens = 8192
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temperature = 0.9
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[[rule]]
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model_pattern = "qwen3.5*"
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provider = "ollama"
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max_tokens = 4096
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temperature = 0.3
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[[rule]]
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model_pattern = "qwen3*"
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provider = "ollama"
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max_tokens = 2048
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temperature = 0.3
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[[rule]]
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model_pattern = "gpt-oss*"
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provider = "ollama"
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temperature = 0.1
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[[rule]]
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model_pattern = "*"
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provider = "ollama"
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temperature = 0.5
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# Fallback chain: if primary fails, try these in order
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fallback = ["ollama", "openrouter"]
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# Cost gating (tokens = cents per 1M)
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[cost]
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ollama = 0
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openrouter = 15
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claude = 15
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gemini = 0
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# Daily budget per provider (cents)
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[daily_budget]
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ollama = 0
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openrouter = 1000
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claude = 500
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gemini = 0 |