# Example: Agent Configuration with File-Based Context
# This demonstrates how to use the new file contributor feature
# to automatically include local files as context for your agent

# Configure the Large Language Model
llm:
  provider: openai
  model: gpt-5
  apiKey: $OPENAI_API_KEY

# Define system prompt with file-based context
systemPrompt:
  contributors:
    # Main agent instructions
    - id: base-prompt
      type: static
      priority: 0
      content: |
        You are a helpful coding assistant with knowledge of the current project.
        You have access to project documentation and context files.
        
    # Include project documentation files
    - id: project-docs
      type: file
      priority: 10
      files:
        - ./README.md
        - ./docs/architecture.md
        - ./CONTRIBUTING.md
      options:
        includeFilenames: true
        separator: "\n\n---\n\n"
        errorHandling: skip
        maxFileSize: 50000
        includeMetadata: false
        
    # Include coding guidelines
    - id: coding-standards
      type: file
      priority: 20
      files:
        - ./docs/coding-standards.md
        - ./docs/best-practices.txt
      options:
        includeFilenames: true
        includeMetadata: true
        errorHandling: "skip"
        
    # Add current date/time
    - id: current-time
      type: dynamic
      priority: 30
      source: date

# Optional: Connect to MCP servers for additional tools
mcpServers:
  filesystem:
    type: stdio
    command: npx
    args: ['-y', '@modelcontextprotocol/server-filesystem', '.']