41 lines
1.7 KiB
Bash
41 lines
1.7 KiB
Bash
# Brain of Reese — environment configuration
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# Copy to `.env` and adjust: cp .env.example .env
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# (`.env` is gitignored; never commit secrets.)
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# --- App ---
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BOR_ENVIRONMENT=development
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# BOR_LOG_LEVEL=INFO
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# BOR_STATIC_DIR=frontend # dev default; container sets /app/static
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# --- Database (matches `podman compose` db service) ---
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BOR_DATABASE_URL=postgresql+psycopg://reese:reese@localhost:5432/brain_of_reese
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# --- LLM (self-hosted, OpenAI-compatible "aipi") ---
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BOR_LLM_BASE_URL=https://aipi.reeseapps.com/v1
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BOR_LLM_API_KEY= # falls back to $AIPI_KEY, then "not-needed"
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BOR_LLM_CHAT_MODEL=turbo
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BOR_LLM_EMBED_MODEL=embed
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BOR_EMBEDDING_DIM=768 # verified 2026-08 via scripts/llm_probe.py
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# --- RAG tuning ---
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BOR_TOP_N_DOCS=2
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BOR_RELEVANCE_THRESHOLD=0.62 # answer when best cosine >= this OR an FTS hit; else honest deflection
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BOR_MAX_CONTEXT_CHARS=24000 # cap on total document text sent to the LLM
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BOR_MAX_OUTPUT_TOKENS=32768 # max answer length in tokens (answers must not be cut off)
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BOR_CHUNK_TARGET_CHARS=2000
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BOR_CHUNK_OVERLAP_CHARS=200
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BOR_EMBED_BATCH_SIZE=16
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# --- Hybrid retrieval (vector + Postgres FTS, RRF-fused) ---
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BOR_HYBRID_VECTOR_CANDIDATES=100 # cosine list width for the fusion
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BOR_HYBRID_LEXICAL_CANDIDATES=30 # FTS list width for the fusion
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BOR_RRF_K=60 # Reciprocal Rank Fusion damping constant
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# --- Import scope (A9 formats; may only narrow, never widen) ---
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# BOR_IMPORT_EXTENSIONS=md,markdown,txt,yaml,yml,json,py
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# BOR_SUGGESTIONS=["How is my Kubernetes cluster set up?"] # JSON list of onboarding chips
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# --- Debugging (0/1 — 1 enables attach-on-demand debugpy on port 5678) ---
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DEBUGPY=0
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# DEBUGPY_PORT=5678
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