agents:
  # Agent-as-tool: Call other agents like functions
  orchestrator:
    llm: default
    agent_tools: [researcher, writer]

  # Sub-agent delegation: Transfer control
  manager:
    llm: default
    sub_agents: [analyst, reporter]

  # Conditional routing
  router:
    type: conditional
    condition_agent: classifier
    condition_field: category
    on_true_agent: sales
    on_false_response: Redirecting to support...

agents:
  assistant:
    instruction: |
      Hello {user:name}, you're working on {app:project}.
      
      Context: {artifact.context.md}
      
      Previous summary: {temp:last_summary?}

agents:
  daily_report:
    llm: default
    instruction: Generate the daily summary report.
    trigger:
      type: schedule
      cron: "0 9 * * *"  # Daily at 9am
      timezone: America/New_York
      input: "Generate report for {{.Date}}"

agents:
  github_handler:
    llm: default
    trigger:
      type: webhook
      path: /webhooks/github
      methods: [POST]
      secret: ${WEBHOOK_SECRET}
      signature_header: X-Hub-Signature-256
      webhook_input:
        template: "PR #{{.number}} by {{.user.login}}: {{.title}}"
        session_id: "pr-{{.number}}"
        extract_fields:
          - path: pull_request.title
            as: title
      response:
        mode: async  # sync | async | callback

agents:
  processor:
    llm: default
    notifications:
      - id: slack-notify
        url: https://hooks.slack.com/services/xxx
        events: [task_completed, task_failed]
        headers:
          Content-Type: application/json
        payload:
          template: |
            {"text": "Agent {{.AgentName}}: {{.Status}}"}
        retry:
          max_attempts: 3
          initial_delay: 1s
          max_delay: 30s

tools:
  filesystem:
    type: mcp
    transport: stdio
    command: npx
    args: [-y, "@modelcontextprotocol/server-filesystem", "./data"]
    filter: [read_file, write_file]  # Limit exposed tools

  remote_mcp:
    type: mcp
    transport: sse
    url: http://localhost:8000/mcp

tools:
  shell:
    type: command
    allowed_commands: [ls, cat, grep, find]
    denied_commands: [rm, sudo]
    working_directory: /app/workspace
    max_execution_time: 30s
    require_approval: true
    approval_prompt: "Allow command execution?"

document_stores:
  knowledge:
    source:
      type: directory
      include: ["**/*.md", "**/*.pdf"]
      exclude: ["**/node_modules/**"]
    
    chunking:
      strategy: semantic
      size: 1000
      overlap: 200
    
    search:
      top_k: 10
      threshold: 0.7
      enable_hyde: true      # Hypothetical document embeddings
      enable_rerank: true    # LLM reranking
      enable_multi_query: true  # Query expansion
    
    vector_store: default
    embedder: default
    watch: true  # Real-time indexing
    incremental_indexing: true

guardrails:
  default:
    input:
      length:
        max_length: 50000
        action: block
      injection:
        enabled: true
        patterns: ["ignore previous", "system:"]
        action: block
        severity: critical
      sanitizer:
        trim_whitespace: true
        strip_html: true

guardrails:
  default:
    output:
      pii:
        enabled: true
        detect_email: true
        detect_phone: true
        detect_ssn: true
        detect_credit_card: true
        redact_mode: mask  # mask | remove | hash
      content:
        blocked_keywords: [profanity_list]
        blocked_patterns: ["(?i)password.*=.*"]

guardrails:
  default:
    moderation:
      enabled: true
      strategy: openai  # openai | lakera | prompt
      openai:
        model: omni-moderation-latest
        threshold: 0.8
      action: block

llms:
  claude:
    provider: anthropic
    model: claude-sonnet-4
    api_key: ${ANTHROPIC_API_KEY}
    thinking:
      enabled: true
      budget_tokens: 4096
  
  gpt4:
    provider: openai
    model: gpt-4o
    api_key: ${OPENAI_API_KEY}
    
  local:
    provider: ollama
    model: llama3.2
    base_url: http://localhost:11434