Run Workflow

Execute the entire PraisonAI workflow with all agents sequentially.

Overview

The Run Workflow operation executes all agents in your agents.yaml file in sequence, passing context between them automatically.

Configuration

Field	Required	Description
Query	✅	The initial query or task for the workflow

Example

agents.yaml

name: Content Pipeline

agents:
  researcher:
    name: Researcher
    role: Research Specialist
    goal: Research topics thoroughly
    instructions: You are a research expert.
    llm: gpt-4o-mini

  writer:
    name: Writer
    role: Content Writer
    goal: Write engaging content
    instructions: You create compelling content.
    llm: gpt-4o-mini

  editor:
    name: Editor
    role: Content Editor
    goal: Polish and improve content
    instructions: You refine and perfect content.
    llm: gpt-4o-mini

n8n Configuration

1. Add PraisonAI node
2. Select operation: Run Workflow
3. Query: Write a blog post about AI in healthcare

Execution Flow

┌─────────────┐
│   Query     │  "Write a blog post about AI in healthcare"
└──────┬──────┘
       │
       ▼
┌─────────────┐
│ Researcher  │  Researches AI healthcare topics
└──────┬──────┘
       │ (passes research to next agent)
       ▼
┌─────────────┐
│   Writer    │  Writes blog post using research
└──────┬──────┘
       │ (passes draft to next agent)
       ▼
┌─────────────┐
│   Editor    │  Polishes and finalizes post
└──────┬──────┘
       │
       ▼
┌─────────────┐
│   Result    │  Final edited blog post
└─────────────┘

Output

{
  "result": "# AI in Healthcare: Transforming Patient Care\n\n...",
  "workflow": "Content Pipeline",
  "agents_executed": ["researcher", "writer", "editor"],
  "execution_time": 15.2
}

Use Cases

• Content Pipelines: Research → Write → Edit
• Data Processing: Collect → Analyze → Report
• Decision Making: Research → Evaluate → Recommend
• Customer Service: Understand → Respond → Follow-up