skills/conductor/examples/workflows/llm-chaining.json

{
  "name": "multi_turn_chain",
  "description": "Two-step OpenAI conversation chained via previousResponseId — no message history resent",
  "version": 1,
  "schemaVersion": 2,
  "inputParameters": ["topic"],
  "tasks": [
    {
      "name": "first_turn",
      "taskReferenceName": "turn1",
      "type": "LLM_CHAT_COMPLETE",
      "inputParameters": {
        "llmProvider": "openai",
        "model": "gpt-4o",
        "messages": [
          {
            "role": "system",
            "message": "You are a technical architect. Be concise."
          },
          {
            "role": "user",
            "message": "Design a high-level architecture for: ${workflow.input.topic}"
          }
        ],
        "temperature": 0.3,
        "maxTokens": 2000
      }
    },
    {
      "name": "follow_up",
      "taskReferenceName": "turn2",
      "type": "LLM_CHAT_COMPLETE",
      "inputParameters": {
        "llmProvider": "openai",
        "model": "gpt-4o",
        "messages": [
          {
            "role": "user",
            "message": "Now list the key risks and mitigations for this architecture."
          }
        ],
        "previousResponseId": "${turn1.output.responseId}",
        "temperature": 0.3,
        "maxTokens": 2000
      }
    }
  ],
  "outputParameters": {
    "architecture": "${turn1.output.result}",
    "risks": "${turn2.output.result}",
    "chainHead": "${turn2.output.responseId}"
  }
}