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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: 
WorkflowAbort: This is an Upstash Workflow error thrown after
a step executes. It is expected to be raised. Make sure that
you await for each step. Also, if you are using try/catch
blocks, you should not wrap context.run/sleep/sleepUntil/call
methods with try/catch. Aborting workflow after executing
step 'some-step'.
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:
  1. Re-throw WorkflowAbort: If you need a try/catch block, re-throw the WorkflowAbort error:
  2. 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. 
import { WorkflowAbort } from '@upstash/workflow';

try {
  await context.run( ... );
} catch (error) {    
  if (error instanceof WorkflowAbort) {
    throw error;
  } else {
    // handle other errors
  }
}

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context.requestPayload Becoming Undefined

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Headers Considerations

In some frameworks, you may need to pass specific headers for the workflow to access requestPayload:
  • Try passing Content-type: text/plain or Content-type: application/json headers when starting the workflow.
  • Note that publishJSON can only publish Content-type: application/json.

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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: 
export const { POST } = serve(async (context) => {
  // Will print undefined while executing context.call
  const payload = context.requestPayload
  console.log(payload)

  // ... steps or any other code

  context.call( ... )
})
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: 
export const { POST } = serve(async (context) => {
  // Payload will never be undefined
  const payload = await context.run("get payload", () => context.requestPayload)

  // ... steps or any other code

  context.call( ... )
})
You can find an example of this usage in our documentation on usage with AI SDK.

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Verification Failed Scenarios

When QStash signature verification is enabled, you might encounter an error like: 
Failed to verify that the Workflow request comes from QStash: some-error

If signature is missing, trigger the workflow endpoint by publishing your request to QStash instead of calling it directly.

If you want to disable QStash Verification, you should clear env variables QSTASH_CURRENT_SIGNING_KEY and QSTASH_NEXT_SIGNING_KEY
Troubleshooting verification errors:

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Authorization Error Handling

Consider this workflow: 
export const { POST } = serve(async (context) => {
  
  if (someCondition()) => {
    return;
  }

  // rest of the 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: 
export const { POST } = serve(async (context) => {
  
  const shouldReturn = await context.run("check condition", () => someCondition())
  if (shouldReturn) => {
    return;
  }

  // rest of the workflow
})

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Retry Configuration

Retry settings can be configured in three locations:
  1. Workflow Start (publish/publishJSON or client.trigger)
    • Default retries: 3
  2. Context Call
    • Default retries: 0
  3. Serve Options
    • Default retries: 3
    • Covers all other requests except the above two

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Verbose Mode Diagnostics

This feature is not yet available in workflow-py. See our Roadmap for feature parity plans and Changelog for updates.
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.

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Localhost in URL Warning

Workflow URL contains localhost. This can happen in local development,
but shouldn't happen in production unless you have a route which contains
localhost. Received: ...
This error indicates that the workflow URL has localhost. Publish requests will fail and workflow won’t be able to run. Potential Solutions:
  • Verify baseUrl
  • Check UPSTASH_WORKFLOW_URL
  • Explicitly pass the full url

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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: 
Upstash Workflow: The step 'some-step' with id 'step-index' has run twice during workflow execution. Rest of the workflow will continue running as usual.

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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: 
Workflow run wfr-*** already exists. A new one isn't created.
tried to append to a cancelled workflow. exiting without publishing.
Failed to remove workflow run wfr-*** as it doesn't exist.
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: 
Couldn't fetch workflow run steps. This can happen if the workflow run successfully ends before some callback is executed.