What do common workflow errors mean?

Common AI Flowi Workflow errors can mean a component is unavailable, two ports have incompatible types, a model lacks a configured credential, workflow JSON is invalid or unsupported, or an update has changed a component’s ports. Check the failing stage against the component documentation, correct its configuration or connection, and retest the workflow.

By Ai Flowi · Technical review: Janice Lee, Technical Support, Ai Flowi.

Published

Why can't I find a suggested component?

Search the built-in node index for its name. A missing name might refer to a Custom or Published component rather than a built-in one. If the component is absent from the documentation, ask for its details instead of guessing a replacement.

Why won't two components connect?

Compare the source output types with the target input accepts. A normal typed connection needs a shared type. If none matches, choose a documented processing or conversion component that produces the accepted type. See workflow basics.

Why isn't the model or Ask AI responding?

Confirm the selected model is enabled and its credential is configured. Check the error details for a timeout or provider failure. A valid port connection alone does not establish that the external model can run. Do not paste credentials into a support message.

Why is a workflow JSON import rejected?

Check that the file is valid JSON and that its components are present. If the browser reports an unexpected file type, retry with a standard JSON export. Older exports may need compatibility handling and may not load. See import and export.

What should I check after a component update?

Review any breaking-change confirmation, inspect the component's inputs, outputs, and connected edges, then retest the workflow. An old edge may not map to a changed port automatically.

Troubleshooting · Workflow basics · Google connection errors