AgentHub

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Overview

This node interacts with the AgentHub platform to execute a hired AI agent. It allows users to provide input data to the agent, trigger its execution, and optionally wait for the execution to complete within a specified timeout period. This is useful for automating tasks or workflows that require AI agent processing based on dynamic input data.

Use Case Examples

  1. Automate customer support by executing a hired AI agent with customer query data.
  2. Run data analysis by executing an AI agent with input datasets and waiting for the results.
  3. Trigger an AI agent to perform a specific task in a workflow and proceed once the execution completes.

Properties

Name Meaning
Hiring ID The ID of the hired agent to execute, used to identify which agent instance to run.
Input Data JSON formatted input data provided to the agent for processing during execution.
Wait for Completion Boolean flag indicating whether to wait for the agent's execution to complete before proceeding.
Timeout (seconds) Maximum time in seconds to wait for the execution to complete if waiting is enabled.

Output

JSON

  • executionId - The unique identifier of the execution instance.
  • status - The current status of the execution (e.g., running, completed, failed).
  • result - The output or result data produced by the agent execution.

Dependencies

  • AgentHub API with API key authentication

Troubleshooting

  • Ensure the Hiring ID corresponds to an active hired agent; invalid IDs will cause errors.
  • Input Data must be valid JSON; malformed JSON will cause execution to fail.
  • If waiting for completion, the timeout should be set appropriately to avoid premature termination.
  • API key credentials must be correctly configured to authenticate requests.

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