75 lines
3.9 KiB
Plaintext
75 lines
3.9 KiB
Plaintext
# ── Application ──────────────────────────────────────────────────────────────
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ENV=dev
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# ── Database ──────────────────────────────────────────────────────────────────
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DATABASE_URL=postgresql+asyncpg://postgres:postgres@localhost:5432/adiuvai
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# ── Auth ──────────────────────────────────────────────────────────────────────
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JWT_SECRET=replace-with-a-long-random-secret
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JWT_ALGORITHM=HS256
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JWT_ACCESS_TOKEN_EXPIRE_MINUTES=30
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JWT_REFRESH_TOKEN_EXPIRE_DAYS=30
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# ── LLM ───────────────────────────────────────────────────────────────────────
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# LiteLLM model identifiers — change to swap providers without code changes.
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# Examples: gpt-4o, anthropic/claude-sonnet-4-20250514, gemini/gemini-pro, ollama/llama3
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#
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# API keys — only the key(s) matching your chosen provider(s) are required.
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# The correct key is picked automatically from the model prefix (e.g.
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# "anthropic/..." → ANTHROPIC_API_KEY, "gemini/..." → GOOGLE_API_KEY).
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OPENAI_API_KEY=
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ANTHROPIC_API_KEY=
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GOOGLE_API_KEY=
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CEREBRAS_API_KEY=
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# Default model used by any agent that does not have a specific override below.
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LLM_MODEL=gpt-5-mini
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LLM_EMBED_MODEL=text-embedding-3-small
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# GitHub Copilot — leave empty to use the LiteLLM default token directory.
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# In Docker, point this to a named-volume path so tokens survive restarts.
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# GITHUB_COPILOT_TOKEN_DIR=
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# ── Per-agent model overrides ─────────────────────────────────────────────────
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# Leave a value empty to fall back to LLM_MODEL.
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# Each agent resolves its API key from the model prefix automatically.
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#
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# Intent classifier — routes user messages to the right domain agent.
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# A small/fast model (e.g. gpt-4o-mini) is usually sufficient here.
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LLM_MODEL_CLASSIFIER=
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# Home-agent — handles chat from the home screen (all tools available).
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LLM_MODEL_HOME_AGENT=
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# Floating-agent — handles contextual chat triggered from a task/project/note.
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LLM_MODEL_FLOATING_AGENT=
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# Unified-processor — processes local directory files (local agent runner).
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LLM_MODEL_UNIFIED_PROCESSOR=
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# Cloud-processor — fetches and processes data from cloud connectors.
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LLM_MODEL_CLOUD_PROCESSOR=
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# Setup-agent — guided journey to build an AgentConfig via WebSocket chat.
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LLM_MODEL_SETUP_AGENT=
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# Memory-extractor — Mem0-style extract/decide pipeline (Phase 2).
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# Defaults to gpt-4o-mini when empty (fast + cheap, temperature=0).
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LLM_MODEL_MEMORY_EXTRACTOR=
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# ── Stripe (leave empty to stub billing) ──────────────────────────────────────
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STRIPE_SECRET_KEY=
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STRIPE_WEBHOOK_SECRET=
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# ── Langfuse (leave empty to disable observability) ───────────────────────────
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LANGFUSE_SECRET_KEY=
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LANGFUSE_PUBLIC_KEY=
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# LANGFUSE_BASE_URL=https://cloud.langfuse.com # EU (default)
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# LANGFUSE_BASE_URL=https://us.cloud.langfuse.com # US
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# LANGFUSE_BASE_URL=http://localhost:3000 # Self-hosted
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# ── CORS ──────────────────────────────────────────────────────────────────────
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# Comma-separated list parsed by Settings (override default if needed)
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# CORS_ORIGINS=["app://.","http://localhost:3000"]
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