Supervisor Node

The Supervisor Node is a central agent that orchestrates multi-agent flow. It collects input, maintains structured memory, and coordinates with sub-agents based on predefined logic. This node ensures a seamless iterative process for dynamic AI-powered applications, including structured decision-making systems and task automation.

Features

What Can I Build?

• AI-powered personal assistants that dynamically route tasks across sub-agents.
• Multi-step flow for data collection, processing, and decision-making.
• Automated AI systems that require iterative questioning to refine responses.
• Intelligent customer support agents that engage in structured dialogues.

Setup

Configuring the Supervisor Node

1. Define the Agent Paths to specify branching logic.
2. Set up the Prompt Template to control AI responses.
3. Assign an LLM Model for text generation.
4. Configure Stop Words and Iteration Limits for loop control.

Deployment

1. Integrate the Supervisor Node into the workflow.
2. Connect relevant agent nodes for branching execution.
3. Deploy the project and trigger workflow execution.

Configuration Reference

Low-Code Example

nodes:
  - nodeId: agentNode_960
    nodeType: agentNode
    nodeName: Supervisor
    values:
      tools: []
      agents:
        - name: Research
          schema: {}
          description: Agent 1 description
        - name: Writer
          schema: {}
          description: Agent 2 description
      prompts:
        - id: 9ed337ec-a4c0-4885-9066-f2853347d20b
          role: system
          content: >-
            Research on the topic {{triggerNode_1.output.topic}} and pass on
            your search to the writer to give the ideal text.
      messages: '[]'
      stopWord: ''
      connectedTo: agentLoopEndNode_242
      maxIterations: 5
      generativeModelName:
        type: generator/text
        model_name: gpt-4o-mini-2024-07-18
        credentialId: f6930a0d-9947-472c-b64b-2244a131cad0
        provider_name: openai
        credential_name: OPEN_AI_KEY
    needs:
      - triggerNode_1
      - agentLoopEndNode_242
    connections:
      - condition: Research
        value: webSearchNode_852
        type: conditionEdge
        invisible: false
      - condition: Writer
        value: LLMNode_238
        type: conditionEdge
        invisible: false
      - condition: Agent Loop End
        value: agentLoopEndNode_242
        type: agentLoopEdge
        invisible: true

Output

output

• A nested object containing the output generated by the Supervisor Node. This depends and modfies based on the paths and agents defined in the configuration.

Example Output

{
  “output”: {}
}

Troubleshooting

Common Issues

Debugging

1. Check Lamatic Flow logs for error details.
2. Verify API Key.