dify - 💡(How to fix) Fix Plugin error loop install update [3 comments, 3 participants]

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langgenius/dify#35221Fetched 2026-04-15 06:45:32
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Error Message

I have update Amazon Bedrock plugin but can it show failed and then loop with 500 message. The loop error Amazon Bedrock without exit instill I restart each docker service or whole VPS.

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Dify version

1.13.3

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

I have update Amazon Bedrock plugin but can it show failed and then loop with 500 message. The loop error Amazon Bedrock without exit instill I restart each docker service or whole VPS.

Is there any way to fix it?

<img width="1141" height="1033" alt="Image" src="https://github.com/user-attachments/assets/d71f16ca-2cde-4d37-aea6-555ad8182a33" />

✔️ Expected Behavior

It should show exited or message successfully

❌ Actual Behavior

No response

extent analysis

TL;DR

The issue can be potentially resolved by adjusting the configuration or dependencies related to the Amazon Bedrock plugin in the Dify Docker setup.

Guidance

  • Review the Amazon Bedrock plugin configuration to ensure it is correctly set up and compatible with Dify version 1.13.3.
  • Check the Docker service logs for any specific error messages that might indicate the cause of the 500 error and looping issue.
  • Consider temporarily removing or disabling the Amazon Bedrock plugin to see if the issue persists, which can help isolate the problem.
  • Verify that all Docker services and dependencies are up-to-date and compatible with each other.

Example

No specific code snippet can be provided without more details on the plugin configuration or the exact error messages.

Notes

The provided information does not specify the exact changes made to the Amazon Bedrock plugin or the detailed error messages, which are crucial for a precise diagnosis. Therefore, the suggestions are based on general troubleshooting steps.

Recommendation

Apply workaround: Temporarily disable the Amazon Bedrock plugin to assess if the issue is plugin-specific, and then gradually re-enable it with careful monitoring to identify the exact cause of the problem. This approach allows for a controlled environment to debug the issue without immediately upgrading or making significant changes.

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