Plugins install fail

[meitianjinbu]

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Dify version

1.0.0

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

install online or offline, always failed.
error information: init environment for plugin langgenius/xinference:0.0.2 failed too many times, you should consider the package is corrupted or your network is unstable

✔️ Expected Behavior

install well

❌ Actual Behavior

install fail

[dosubot]

Hey @meitianjinbu! 👋 I'm here to help you with any bugs, questions, or contributions while you wait for a human maintainer. Let's tackle this issue together!

I found some relevant information that might help with your issue regarding plugin installation failures in Dify.

1. Similar Threads: There is a similar open issue titled "Plugin install too slow" that might be related to your problem ^[1]. Additionally, a closed issue suggested that if you are using Docker on Windows, you can try placing the entire dify/docker directory on the WSL filesystem or add PLUGIN_WORKING_PATH=/app/cwd to your .env file to address performance issues related to file access on NTFS volumes ^[2].

2. Error Messages: The error message you encountered suggests that the plugin might be corrupted or there is network instability. Specific logs or error messages during plugin installation failures can provide more insight. For instance, slow SQL queries and record not found errors are common indicators ^[3].

3. Troubleshooting Steps: You can try adding FORCE_VERIFYING_SIGNATURE=false to your .env configuration file. This allows the installation of plugins not verified in the Dify Marketplace, but it's recommended to test these plugins in a sandbox environment first ^[4].

These steps and insights might help you resolve the plugin installation issue. If the problem persists, reviewing the backend logs for specific error messages could provide further clues.

To continue talking to Dosu, mention @dosu.

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[kevintsai1202]

Did you install Docker Desktop on Windows? Try adding PLUGIN_WORKING_PATH=/app/cwd at the end of /dify/docker/.env, then restart Docker Compose and see if it works.