# Dialog Mode Test — guaranteed to trigger dialog
#
# This workflow asks an agent to analyze a codebase question,
# but the agent will express uncertainty about scope/approach,
# triggering a dialog with the user.
#
# Usage:
#   conductor run examples/dialog-test.yaml --input question="How should I refactor the error handling?"

workflow:
  name: dialog-test
  description: Quick test to exercise dialog mode
  entry_point: analyst

  runtime:
    provider: copilot

  input:
    question:
      type: string
      required: true
      description: A code analysis question — the agent will seek clarification

agents:
  - name: analyst
    description: An agent that analyzes code but needs clarification on scope
    model: claude-haiku-4.5
    prompt: |
      The user asked: {{ workflow.input.question }}

      You MUST respond as though this question is too broad to answer well.
      Identify at least 3 different ways you could approach or scope this
      analysis, explain why each leads to very different recommendations,
      and state clearly that you need the user to narrow the scope before
      you can give a useful answer. Express strong uncertainty about which
      approach the user wants.
    output:
      approaches:
        type: string
        description: The possible approaches or scopes you identified
      chosen_approach:
        type: string
        description: Which approach you went with (after dialog)
      analysis:
        type: string
        description: Your analysis based on the chosen approach
    dialog:
      trigger_prompt: |
        ALWAYS trigger dialog. The agent's output will contain
        uncertainty and multiple possible approaches — this is by design.
        Trigger if the output mentions any ambiguity, multiple
        approaches, uncertainty, or inability to proceed.
        In practice: always return trigger=true for this agent.
    routes:
      - to: $end

output:
  approaches: "{{ analyst.output.approaches }}"
  chosen: "{{ analyst.output.chosen_approach }}"
  analysis: "{{ analyst.output.analysis }}"