Workflow Keeps Running After Calling Stop API, Despite Receiving Success Response

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Introduction

In a typical workflow management system, stopping a running workflow is a crucial operation that ensures the workflow is terminated and its resources are released. However, in our experience with the Dify API, we have encountered an issue where the workflow continues to run after calling the stop API, despite receiving a success response. This article aims to document this issue and provide a detailed explanation of the problem, its expected behavior, and the actual behavior observed.

Self Checks

Before submitting this bug report, we have performed the following self-checks to ensure that we are not duplicating an existing issue:

  • We have searched for existing issues, including closed ones, to confirm that this issue has not been reported before.
  • We are using English to submit this report, and we have read and agreed to the Language Policy.
  • We have not modified this template and have filled in all the required fields.

Dify Version

We are using Dify version 1.1.3, which is the latest version available at the time of writing.

Cloud or Self Hosted

We are using a self-hosted instance of Dify, deployed using Docker.

Steps to Reproduce

To reproduce this issue, follow these steps:

  1. Start a workflow using the Dify API.
  2. Call the /v1/workflow/runs/{id}/stop endpoint to stop the workflow.
  3. Verify that the API responds with a success response, indicating that the workflow has been stopped.
  4. Observe that the workflow continues to run and execute the next steps, despite the stop API being called.

Expected Behavior

The expected behavior when calling the stop API is that the workflow should be terminated immediately, and its status should be updated accordingly (e.g., to stopped or terminated). The API should return a success response, indicating that the workflow has been stopped.

Actual Behavior

The actual behavior observed is that the API returns a success response, but the workflow continues to run as if nothing happened. The workflow executes the next steps, and its status is not updated to reflect that it has been stopped.

Conclusion

In conclusion, we have documented an issue where the workflow continues to run after calling the stop API, despite receiving a success response. This issue is critical, as it can lead to unexpected behavior and resource leaks. We hope that this bug report will help the Dify team to identify and fix this issue, ensuring that the workflow management system behaves as expected.

Possible Causes

Based on our analysis, possible causes of this issue include:

  • API endpoint not being implemented correctly: The /v1/workflow/runs/{id}/stop endpoint may not be implemented correctly, leading to the workflow continuing to run despite the stop API being called.
  • Workflow not being terminated properly: The workflow may not be terminated properly, leading to it continuing to run and execute the next steps.
  • Resource leaks: The workflow may be causing resource leaks, leading to unexpected behavior and performance issues.

Recommendations

To resolve this issue, we recommend the following:

  • ** API endpoint implementation**: Review the implementation of the /v1/workflow/runs/{id}/stop endpoint to ensure that it is correct and functioning as expected.
  • Verify workflow termination: Verify that the workflow is being terminated properly and that its status is updated accordingly.
  • Investigate resource leaks: Investigate resource leaks and ensure that the workflow is not causing any unexpected behavior or performance issues.

Future Work

To prevent similar issues in the future, we recommend the following:

  • Implement robust testing: Implement robust testing to ensure that the API endpoints and workflow management system are functioning as expected.
  • Monitor system performance: Monitor system performance to detect any resource leaks or unexpected behavior.
  • Provide clear documentation: Provide clear documentation on the API endpoints and workflow management system to ensure that users understand how to use the system correctly.
    Q&A: Workflow Keeps Running After Calling Stop API, Despite Receiving Success Response ====================================================================================

Introduction

In our previous article, we documented an issue where the workflow continues to run after calling the stop API, despite receiving a success response. In this article, we will provide a Q&A section to address common questions and concerns related to this issue.

Q: What is the expected behavior when calling the stop API?

A: The expected behavior when calling the stop API is that the workflow should be terminated immediately, and its status should be updated accordingly (e.g., to stopped or terminated). The API should return a success response, indicating that the workflow has been stopped.

Q: What is the actual behavior observed when calling the stop API?

A: The actual behavior observed is that the API returns a success response, but the workflow continues to run as if nothing happened. The workflow executes the next steps, and its status is not updated to reflect that it has been stopped.

Q: What are the possible causes of this issue?

A: Based on our analysis, possible causes of this issue include:

  • API endpoint not being implemented correctly: The /v1/workflow/runs/{id}/stop endpoint may not be implemented correctly, leading to the workflow continuing to run despite the stop API being called.
  • Workflow not being terminated properly: The workflow may not be terminated properly, leading to it continuing to run and execute the next steps.
  • Resource leaks: The workflow may be causing resource leaks, leading to unexpected behavior and performance issues.

Q: How can I troubleshoot this issue?

A: To troubleshoot this issue, we recommend the following:

  • Verify API endpoint implementation: Review the implementation of the /v1/workflow/runs/{id}/stop endpoint to ensure that it is correct and functioning as expected.
  • Verify workflow termination: Verify that the workflow is being terminated properly and that its status is updated accordingly.
  • Investigate resource leaks: Investigate resource leaks and ensure that the workflow is not causing any unexpected behavior or performance issues.

Q: What are the consequences of this issue?

A: The consequences of this issue can be severe, including:

  • Resource leaks: The workflow may be causing resource leaks, leading to unexpected behavior and performance issues.
  • Data corruption: The workflow may be causing data corruption, leading to incorrect results and potential data loss.
  • System downtime: The workflow may be causing system downtime, leading to lost productivity and revenue.

Q: How can I prevent this issue in the future?

A: To prevent this issue in the future, we recommend the following:

  • Implement robust testing: Implement robust testing to ensure that the API endpoints and workflow management system are functioning as expected.
  • Monitor system performance: Monitor system performance to detect any resource leaks or unexpected behavior.
  • Provide clear documentation: Provide clear documentation on the API endpoints and workflow management system to ensure that users understand how to use the system correctly.

Q: What is the next step in resolving this issue?

A: The next step in resolving this issue is to investigate the possible causes and implement a solution to prevent this issue from occurring in the future. We recommend working with the Dify team to identify the root cause of the issue and implement a fix.

Conclusion

In conclusion, we have provided a Q&A section to address common questions and concerns related to the issue where the workflow continues to run after calling the stop API, despite receiving a success response. We hope that this article has provided valuable information and insights to help resolve this issue and prevent similar issues in the future.