config.example.yaml

# Code Execution MCP Configuration Template
# Copy this file to config.yaml and customize for your needs

execution:
  workspace_dir: ./workspace
  servers_dir: ./servers
  skills_dir: ./skills
  sandbox_type: opensandbox  # Supported sandboxed backend
  sandbox_image: python
  allow_network_access: false

  # OpenSandbox settings (when sandbox_type: opensandbox)
  # Requires: pip install opensandbox opensandbox-server && opensandbox-server start
  # opensandbox_domain: localhost:8080  # or set OPENSANDBOX_DOMAIN env var
  # opensandbox_image: python:3.11

  state:
    enabled: true  # Enable state persistence
    workspace_dir: ./workspace  # Where to store state
    state_file: state.json  # Default state file name
    auto_save: true  # Automatically save state after execution
    state_format: json  # Format: json, yaml, pickle

# LLM Configuration (optional - for code generation)
llm:
  enabled: false  # Set to true to enable LLM-based code generation
  provider: azure_openai  # Options: openai, azure_openai, anthropic
  model: gpt-4o-mini
  
  # Azure OpenAI settings (if using Azure)
  azure_endpoint: https://your-resource.openai.azure.com
  azure_deployment_name: gpt-4o-mini
  azure_api_version: 2024-08-01-preview
  
  # OpenAI settings (if using OpenAI)
  # api_key: your_openai_api_key  # Or set OPENAI_API_KEY env var
  
  temperature: 0.3
  max_tokens: 2000

# Performance Optimizations
optimizations:
  enabled: true
  sandbox_pooling: false  # Set to true for 100-700x performance boost (recommended)
  sandbox_pool_size: 3
  tool_cache: true
  tool_cache_file: .tool_cache.json
  gpu_embeddings: true
  parallel_discovery: true
  file_content_cache: true

# Guardrails and Security
guardrails:
  enabled: true
  strict_mode: false
  content_filtering: true
  security_checks: true
  privacy_protection: true
  pii_detection: true
  tokenization: true
  rate_limiting: true
  max_execution_time: 300  # seconds
  max_memory_mb: 512
  allowed_networks: []
  blocked_patterns: []

# Logging
logging:
  level: INFO  # Options: DEBUG, INFO, WARNING, ERROR
  file: logs/code-execution-mcp.log

# MCP Servers (optional - for direct MCP server connections)
mcp_servers: []
  # Example:
  # - name: my_server
  #   url: http://localhost:8000
  #   connection_type: sse  # Options: sse, stdio, http
  #   enabled: true
  #   timeout: 30