deployment/render.yaml

# render.yaml — Deploy NeuraChat on Render (Free Tier)
# Documentation: https://render.com/docs/render-yaml

services:
  - type: web
    name: neurachat-api
    env: python
    plan: free
    buildCommand: |
      pip install -r requirements.txt
    startCommand: uvicorn main:app --host 0.0.0.0 --port $PORT
    rootDir: backend
    
    envVars:
      - key: ANTHROPIC_API_KEY
        sync: false  # Set manually in Render dashboard
      
      - key: CORS_ORIGINS
        value: '["*"]'
        # For production, use: '["https://yourportfolio.com"]'
      
      - key: DEBUG
        value: "false"
      
      - key: LLM_MODEL
        value: "claude-opus-4-5"
      
      - key: EMBEDDING_MODEL
        value: "all-MiniLM-L6-v2"
      
      - key: DATA_DIR
        value: "../data/sample_knowledge_base"
      
      - key: VECTOR_STORE_PATH
        value: "./vector_store/faiss_index"
    
    # Persistent disk for vector store
    disk:
      name: neurachat-data
      mountPath: /var/data
      sizeGB: 1