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38b1150838
Add TruthConfig struct to config.rs with all truth engine parameters: - enabled, scoring_interval_seconds, batch_size, rescore_after_seconds - pln_base_confidence, ecan_decay_rate, ecan_spread_factor - contradiction_threshold, verification_threshold, cross_ref_limit All settings configurable via OPENBRAIN__TRUTH__* env vars with sensible defaults. Update .env.example with full documentation of new variables. Update Config::load() builder and Default impl. Part of #29
69 lines
2.5 KiB
Plaintext
69 lines
2.5 KiB
Plaintext
# OpenBrain MCP Server Configuration
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# Copy this to .env and fill in your values
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# Server Configuration
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OPENBRAIN__SERVER__HOST=0.0.0.0
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OPENBRAIN__SERVER__PORT=3100
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# Database Configuration (PostgreSQL with pgvector)
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# This role should own the OpenBrain database objects that migrations manage.
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OPENBRAIN__DATABASE__HOST=localhost
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OPENBRAIN__DATABASE__PORT=5432
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OPENBRAIN__DATABASE__NAME=openbrain
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OPENBRAIN__DATABASE__USER=openbrain_svc
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OPENBRAIN__DATABASE__PASSWORD=your_secure_password_here
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OPENBRAIN__DATABASE__POOL_SIZE=10
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# Embedding Configuration
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# Path to ONNX model directory (all-MiniLM-L6-v2)
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OPENBRAIN__EMBEDDING__MODEL_PATH=models/all-MiniLM-L6-v2
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OPENBRAIN__EMBEDDING__DIMENSION=384
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# Hybrid query scoring
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OPENBRAIN__QUERY__VECTOR_WEIGHT=0.6
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OPENBRAIN__QUERY__TEXT_WEIGHT=0.4
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# Backward-compatible plain env aliases
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# VECTOR_WEIGHT=0.6
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# TEXT_WEIGHT=0.4
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# Ingest deduplication
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OPENBRAIN__DEDUP__THRESHOLD=0.90
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# Backward-compatible plain env alias
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# DEDUP_THRESHOLD=0.90
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# TTL / transient facts
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# Background cleanup interval in seconds. Set to 0 to disable automatic cleanup.
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OPENBRAIN__TTL__CLEANUP_INTERVAL_SECONDS=300
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# Authentication (optional)
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OPENBRAIN__AUTH__ENABLED=false
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# Comma-separated list of persistent API keys
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# OPENBRAIN__AUTH__API_KEYS=prod_live_key,smoke_test_key
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# Logging
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RUST_LOG=info,openbrain_mcp=debug
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# Truth Engine (optional)
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# Enable the background truth scoring worker. When enabled, stored memories
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# are continuously evaluated for truthfulness using PLN deduction, ECAN
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# attention economy, and cross-referencing against related memories.
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OPENBRAIN__TRUTH__ENABLED=false
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# Seconds between scoring cycles (default: 300 = 5 minutes)
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OPENBRAIN__TRUTH__SCORING_INTERVAL_SECONDS=300
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# Number of memories to score per cycle (default: 50)
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OPENBRAIN__TRUTH__BATCH_SIZE=50
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# Seconds before a scored memory is re-evaluated (default: 86400 = 24 hours)
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OPENBRAIN__TRUTH__RESCORE_AFTER_SECONDS=86400
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# PLN base confidence for deduction chains (0.0–1.0, default: 0.85)
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OPENBRAIN__TRUTH__PLN_BASE_CONFIDENCE=0.85
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# ECAN STI decay rate per cycle (0.0–1.0, default: 0.95)
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OPENBRAIN__TRUTH__ECAN_DECAY_RATE=0.95
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# ECAN attention spread factor (default: 0.05)
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OPENBRAIN__TRUTH__ECAN_SPREAD_FACTOR=0.05
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# Similarity threshold for contradiction detection (0.0–1.0, default: 0.85)
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OPENBRAIN__TRUTH__CONTRADICTION_THRESHOLD=0.85
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# Truth value threshold for "verified" categorization (0.0–1.0, default: 0.8)
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OPENBRAIN__TRUTH__VERIFICATION_THRESHOLD=0.8
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# Max related memories to cross-reference per scoring (default: 10)
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OPENBRAIN__TRUTH__CROSS_REF_LIMIT=10
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