Skip to main content
Subagents is an Enterprise edition feature. See pricing for details.
Subagents are specialized AI agents that run in isolated environments to handle complex, long-running analysis tasks on your behalf. Unlike the general-purpose AI assistant, each subagent is purpose-built for a specific domain and can work through large amounts of data autonomously before returning a structured result. Subagent Page

​
Investigation subagent

The first available subagent is the Investigation agent. It analyzes workflow execution data to help you understand why a workflow run failed, behaved unexpectedly, or performed poorly. The investigation subagent can help you:
  • Diagnose failures — identify which step failed, why it failed, and what the error means.
  • Trace unexpected behavior — follow data through each step to explain why a workflow produced an unexpected result.
  • Spot performance issues — find bottlenecks or steps that took longer than expected.
After completing its analysis, the agent streams a structured report with findings, and a root cause assessment.

​
Using the investigation subagent

The investigation subagent is available as a tool inside the OpenOps AI chat interface. To start an investigation:
  1. Open the AI chat in your OpenOps environment.
  2. Describe the issue you want to investigate — for example: “Why did this workflow fail?” or “The last run produced unexpected output in the final step, can you check what happened?”
  3. Provide the workflow run ID you want to analyze.
  4. The agent runs in the background and streams progress updates as it works. When complete, it returns its findings directly in the chat.

​
How it works

Subagents run in isolation from the rest of your environment, with no persistent storage and no access to external systems beyond the data they are given.

​
Enabling subagents for your environment

To learn more or to enable subagents for your environment, contact your OpenOps account manager.