## Error Types in Ops Center

The error types are specific to each component. In Ops Center, you can view:

- All errors across services on the **Overview** tab.
- Errors for a specific component by opening its corresponding tab.

Errors from the past 7 days are displayed, including both run-time errors and those encountered in the Interaction Panel. To investigate a specific error:

1. Open the **Errors** page. Click the error to see its details in the **Error Details** window.
2. Click **Go to `<resource name>`**, for example, **Go to Flow** or **Go to Endpoint**, to open the page where the error occurred. Find the error by its code and follow the recommended steps to fix it.

## List of Errors

| **Error Code** | **Error Name** | **Recommended Action** |
| --- | --- | --- |
| `ERR_ENDPOINT_001` | Endpoint Input Transformer Failed | Check the Endpoint’s transformer settings, logs, and input mappings for errors. |
| `ERR_ENDPOINT_002` | Endpoint Output Transformer Failed | Check the Endpoint’s transformer settings, logs, and output data format for errors. |
| `ERR_ENDPOINT_003` | Endpoint Execution Finished Transformer Failed | Check the Endpoint’s transformer settings. Validate the final execution transformer logic. Ensure it properly handles the final payload and any cleanup logic. |
| `ERR_ENDPOINT_004` | Endpoint Inject Transformer Failed | Check the Endpoint’s transformer settings. Check the injection logic that modifies request and response data. Ensure injected variables exist and are valid. |
| `ERR_ENDPOINT_005` | Endpoint Notify Transformer Failed | Check the Endpoint’s transformer settings. Confirm that the notification transformer logic is implemented correctly. Validate event payloads and downstream subscribers. |
| `ERR_FLOW_001` | Flow Node Execution Failed | Go to the Node and review its parameters. Use logs and the Interaction Panel to debug the Node. |
| `ERR_FLOW_002` | Flow Outbound HTTP Call Failed | Check the outbound HTTP call settings: HTTP Request Node, endpoint URL, headers, auth, and payload. Test connectivity and response format. |
| `ERR_FLOW_003` | Flow NLU Intent Misconfigured | Go to the Flow. Ensure the NLU Intent exists, is correctly configured, and trained. Retrain if needed. |
| `ERR_FLOW_004` | Flow NLU Embedding Model Misconfigured | Go to the NLU embedding model in the Project settings and check that the model is correctly configured. |
| `ERR_FLOW_005` | Flow Generative AI Model Misconfigured | Go to the model in the LLM configuration. Check the model is correctly configured, test its connection, verify API keys. |
| `ERR_FLOW_006` | Flow Knowledge AI Embedding Model Misconfigured | Go to the embedding model in the LLM configuration. Check the model is correctly configured, test its connection, verify API keys. Ensure the Knowledge AI embedding model is deployed and accessible. |
| `UNKNOWN` | The error occurs when Ops Center can’t determine the error type or identify which resource, such as LLM, Flow, NLU, or others, the issue occurred in. | Use the information from the **Message** section in the **Error Details** window, then go to the Project to troubleshoot the issue. |

## More Information

- [Manage Errors](https://docs.cognigy.com/ops-center/manage/errors)

Last modified on June 18, 2026