62 lines
1.6 KiB
Plaintext
62 lines
1.6 KiB
Plaintext
# Server configuration
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PORT=3000
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HOST=0.0.0.0
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LOG_LEVEL=info
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CORS_ORIGIN=*
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# Database
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DATABASE_URL=postgresql://postgres:postgres@localhost:5432/dexorder
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# LLM Provider API Keys (configure at least one)
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# Anthropic Claude
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ANTHROPIC_API_KEY=sk-ant-xxxxx
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# OpenAI GPT
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OPENAI_API_KEY=sk-xxxxx
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# Google Gemini
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GOOGLE_API_KEY=xxxxx
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# OpenRouter (access to 300+ models with one key)
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OPENROUTER_API_KEY=sk-or-xxxxx
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# Default model (if user has no preference)
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DEFAULT_MODEL_PROVIDER=anthropic
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DEFAULT_MODEL=claude-3-5-sonnet-20241022
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# Telegram (optional)
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TELEGRAM_BOT_TOKEN=
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# Kubernetes configuration
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KUBERNETES_NAMESPACE=dexorder-agents
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KUBERNETES_IN_CLUSTER=false
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KUBERNETES_CONTEXT=minikube
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AGENT_IMAGE=ghcr.io/dexorder/agent:latest
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SIDECAR_IMAGE=ghcr.io/dexorder/lifecycle-sidecar:latest
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AGENT_STORAGE_CLASS=standard
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# Redis (for hot storage and session management)
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REDIS_URL=redis://localhost:6379
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# Qdrant (for RAG vector search)
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QDRANT_URL=http://localhost:6333
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QDRANT_API_KEY= # optional, leave empty for local dev
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# Iceberg (for durable storage via REST catalog)
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ICEBERG_CATALOG_URI=http://iceberg-catalog:8181
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ICEBERG_NAMESPACE=gateway
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S3_ENDPOINT=http://minio:9000
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S3_ACCESS_KEY=minioadmin
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S3_SECRET_KEY=minioadmin
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# Event router (ZeroMQ)
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EVENT_ROUTER_BIND=tcp://*:5571
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# Embeddings (for RAG vector search)
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# Recommended: ollama with all-minilm (90MB model, CPU-friendly, ~100MB RAM)
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EMBEDDING_PROVIDER=ollama
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EMBEDDING_MODEL=all-minilm
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OLLAMA_URL=http://localhost:11434
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# Alternative models: nomic-embed-text (8K context), mxbai-embed-large (higher accuracy)
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# For OpenAI embeddings, set: EMBEDDING_PROVIDER=openai, EMBEDDING_MODEL=text-embedding-3-small
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