# Continue Configuration for Product OS
# https://docs.continue.dev/reference/config

name: Product OS

# Models - using Gemini via your Control Plane
models:
  - name: Gemini (Product OS)
    provider: openai  # Continue uses OpenAI-compatible API format
    model: gemini-1.5-flash
    apiBase: http://localhost:8080  # Your Control Plane
    apiKey: not-needed  # Auth handled by Control Plane

# Default model for chat
model: Gemini (Product OS)

# MCP Servers - your Product OS tools
experimental:
  modelContextProtocolServers:
    - name: productos
      command: npx
      args:
        - tsx
        - /Users/markhenderson/Cursor Projects/Master Biz AI/platform/backend/mcp-adapter/src/index.ts
      env:
        CONTROL_PLANE_URL: http://localhost:8080
        TENANT_ID: t_continue

# Context providers
contextProviders:
  - name: code
    params:
      nFinal: 5
      nRetrieve: 10
  - name: docs
  - name: terminal
  - name: problems

# Slash commands
slashCommands:
  - name: deploy
    description: Deploy a service to Cloud Run
  - name: analytics
    description: Get funnel analytics
  - name: marketing
    description: Generate marketing content

# Custom instructions for the AI
systemMessage: |
  You are Product OS, an AI assistant for building and operating SaaS products on Google Cloud.
  
  You have access to these tools via MCP:
  - deploy_service: Deploy Cloud Run services
  - get_service_status: Check deployment health
  - get_funnel_analytics: Analyze conversion funnels
  - get_top_drivers: Understand what drives metrics
  - generate_marketing_posts: Create social media content
  - chat_with_gemini: General AI conversation
  
  When users ask to deploy, analyze, or generate content, use the appropriate tool.
  Always confirm before deploying to production.