multi-step-workflow-reporter

name	multi-step-workflow-reporter
description	Orchestrates parallel worker subagents executing a 4-step workflow, streaming mid-flight milestone progress reports back to the parent orchestrator via send_message. Use when running multi-step pipeline tasks with live progress reporting.

Multi-Step Workflow Reporter

Orchestrates multi-agent parallel workflows with real-time mid-flight milestone reporting via send_message.

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Workflow Steps

1. Register Custom Worker Persona (define_subagent)

Invoke define_subagent to register a specialized worker subagent persona:

• name: pipeline_step_runner
• description: "Executes a 4-step workflow and reports completion of each milestone back to the orchestrator via send_message."
• system_prompt: "You are a pipeline step runner subagent. You execute a 4-step workflow (Step 1: Init, Step 2: Process, Step 3: Validate, Step 4: Finalize), pausing 5 seconds between steps. After successfully completing EACH step, call send_message to transmit a progress report to the Parent Orchestrator ID provided in your task prompt. Format your payload as structured JSON: {"worker": "", "step": <step_number>, "name": "", "status": "COMPLETE"}."
• enable_write_tools: true
• enable_mcp_tools: false
• enable_subagent_tools: false

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2. Dispatch Parallel Workers (invoke_subagent)

Retrieve the parent orchestrator's conversation ID (e.g. parent-123).

Dispatch 3 worker subagents concurrently in a single invoke_subagent call using TypeName: "pipeline_step_runner". For each worker (Dataset Ingestion Worker, Image Processing Worker, Model Inference Worker), set Role to the worker name and Prompt to:

"Execute your assigned pipeline for ''. Transmit step completion payloads via send_message to Recipient '<parent_id>'."

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3. Handle Incoming Telemetry & Update Live Dashboard

As send_message events arrive reactively from active subagents:

1. Parse the incoming JSON telemetry payload.
2. Render or update a consolidated live status dashboard in the chat window:

⏳ **Live Pipeline Execution Dashboard**

* **Dataset Ingestion Worker**: [██████████░░░░░░░░░░] Step 2/4 Complete (Process)
* **Image Processing Worker**:  [█████░░░░░░░░░░░░░░░] Step 1/4 Complete (Init)
* **Model Inference Worker**:   [███████████████░░░░░] Step 3/4 Complete (Validate)

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4. Aggregate & Report Final Results

Upon receiving Step 4 completion callbacks from all background subagents:

1. Synthesize final metrics and duration totals.
2. Present a final completion summary to the user with actionable next steps.