General
Running Steps Inside try/catch Blocks
When running steps (run, sleep, call, or any other step) inside a try/catch block, you’ll encounter the following error:
The WorkflowAbort
error is thrown by the Workflow SDK when a step executes successfully. When you run a step inside a try/catch block, you have two primary options:
-
Re-throw WorkflowAbort: If you need a try/catch block, re-throw the
WorkflowAbort
error: -
Avoid Running Steps in try/catch: The simplest solution is to not wrap steps in try/catch blocks. If you have a
context.run
inside try/catch, you can try putting the try/catch inside the context.run.
context.requestPayload
Becoming Undefined
Headers Considerations
In some frameworks, you may need to pass specific headers for the workflow to access requestPayload
:
- Try passing
Content-type: text/plain
orContent-type: application/json
headers when starting the workflow. - Note that
publishJSON
can only publishContent-type: application/json
.
context.call
Execution
During a workflow run, the endpoint will be called multiple times. While executing context.call
, the endpoint is called at least twice, with the SDK attempting to run the route function until the first step for custom authorization.
Accessing context.requestPayload
before any step can result in it becoming undefined:
This behavior stems from the internal mechanics of context.call
, and resolving this specific interaction is on our roadmap. Note that if you are passing context.requestPayload
as a parameter to context.call
, the payload remains intact. However, during the actual execution of context.call
, the context.requestPayload
becomes undefined due to the SDK’s internal workflow processing steps.
To fix this issue, you can try adding a step which returns the payload:
You can find an example of this usage in our documentation on usage with AI SDK.
Verification Failed Scenarios
When QStash signature verification is enabled, you might encounter an error like:
Troubleshooting verification errors:
- Ensure you start the workflow using
client.trigger
or by publishing to QStash. - Verify that
QSTASH_CURRENT_SIGNING_KEY
andQSTASH_NEXT_SIGNING_KEY
environment variables are correct. - Pass appropriate
Content-type
headers when starting the workflow.
Authorization Error Handling
Consider this workflow:
Returning before running any steps will result in:
- HTTP status: 400
- Error message:
Failed to authenticate Workflow request.
This behavior is a direct result of the custom authorization mechanism. The Workflow SDK interprets an early function return without executing any steps as an authentication failure.
If the function someCondition()
is non-deterministic, the recommended approach is to transform this condition into an explicit workflow step. Here’s the recommended pattern for handling such non-deterministic conditions:
Retry Configuration
Retry settings can be configured in three locations:
-
Workflow Start (publish/publishJSON or client.trigger)
- Default retries: 3
-
- Default retries: 0
-
- Default retries: 3
- Covers all other requests except the above two
Verbose Mode Diagnostics
Use verbose mode to diagnose workflow issues.
The logs in this section should be seen very rarely. If you observe these logs consistently, you can reach out to our support.
Localhost in URL Warning
This error indicates that the workflow URL has localhost. Publish requests will fail and workflow won’t be able to run.
Potential Solutions:
Deduplication Log
Since QStash has at least once delivery guarantee, there is a very small chance that a step will run twice. This is why we suggest idempotancy. When this happens, the duplicate step should print the following log and terminate:
Network Issue Warnings
In rare instances, the workflow endpoint may complete its task successfully but fail to send a proper response. The SDK is designed to detect such occurrences. When this happens, the workflow endpoint will return a 200
status code and log one of the following three warnings:
A similar issue can occur if you have two parallel context.call steps at the end of your workflow. While the workflow will execute successfully, you may see this warnings: