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Error in Java Multi-modal Tongyi #5706

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opened 2026-02-21 18:12:15 -05:00 by yindo · 2 comments
yindo commented 2026-02-21 18:12:15 -05:00
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Originally created by @yanghangxl on GitHub (Sep 20, 2024).

Self Checks

  • This is only for bug report, if you would like to ask a question, please head to Discussions.
  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report (我已阅读并同意 Language Policy).
  • [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）
  • Please do not modify this template :) and fill in all the required fields.

Dify version

0.6.9

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

After uploading an image to dify using Java and obtaining the image ID, I passed the image ID through the calling process to the Tongyi multi-modal model, but encountered an error: [tongyi] Error: list index out of range.

✔️ Expected Behavior

No response

❌ Actual Behavior

No response

Originally created by @yanghangxl on GitHub (Sep 20, 2024). ### Self Checks - [X] This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general). - [X] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [X] I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [X] [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:） - [X] Please do not modify this template :) and fill in all the required fields. ### Dify version 0.6.9 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce After uploading an image to dify using Java and obtaining the image ID, I passed the image ID through the calling process to the Tongyi multi-modal model, but encountered an error: [tongyi] Error: list index out of range. ### ✔️ Expected Behavior _No response_ ### ❌ Actual Behavior _No response_
yindo added the 🐞 bug🤔 cant-reproduce labels 2026-02-21 18:12:15 -05:00
yindo closed this issue 2026-02-21 18:12:15 -05:00
yindo commented 2026-02-21 18:12:15 -05:00
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@dosubot[bot] commented on GitHub (Sep 20, 2024):

@yanghangxl Hello there! I'm here to help you with any bugs, questions, or contributions you have regarding Dify. If you need assistance, feel free to ask.

I found a similar unsolved discussion and a closed issue that might be relevant to your problem:

  1. I can't upload the image on dify workflow via api (Unsolved) [1].
  2. 无法使用Xinference中的视觉模型，无法传入图片，files: [] (Closed) [2].

The 'list index out of range' error in the context of the Tongyi multi-modal model can occur due to several reasons:

  1. Accessing an Empty List: If the list you're trying to access is empty, it will result in this error. Ensure that the list contains elements before accessing them.
  2. Incorrect Range Calculation: Ensure that the range for iterating over inputs is correctly calculated to avoid accessing non-existent indices.
  3. Response Handling: Ensure that the response from the embed_documents method contains the expected data structure before accessing its elements.

Here is an example of how to handle the response correctly:

if response.output and "embeddings" in response.output and response.output["embeddings"]:
    data = response.output["embeddings"][0]
    if "embedding" in data:
        embeddings.append(data["embedding"])
    else:
        raise ValueError("Embedding data is missing in the response.")
else:
    raise ValueError("Response output is missing or does not contain embeddings.")

Additionally, ensure that the image ID is correctly formatted as a URL when passed to the Tongyi multi-modal model. If the image data is in base64 format, it should be converted to a file, and the file path should be used as the image URL [3].

For debugging and resolving errors related to image processing, follow these steps:

  1. Check the Error Code: Identify the specific error code returned by the API.
  2. Verify Request Format: Ensure the request is correctly formatted.
  3. Check File Type and Size: Ensure the file type and size are within the supported limits.
  4. Validate API Key and Permissions: Ensure the API-Key is valid and has the necessary permissions.
  5. Review Server Logs: Check server logs for more detailed error messages.
  6. Test with Different Files: Try uploading different files to determine if the issue is specific to certain files.
  7. Check S3 Configuration: If using S3 for storage, ensure the S3 service is properly configured and accessible [4].

By following these steps, you should be able to identify and resolve the issue.

To continue talking to Dosu, mention @dosu.

@dosubot[bot] commented on GitHub (Sep 20, 2024): <!-- Greeting --> @yanghangxl Hello there! I'm here to help you with any bugs, questions, or contributions you have regarding Dify. If you need assistance, feel free to ask. <!-- Answer --> I found a similar unsolved discussion and a closed issue that might be relevant to your problem: 1. [I can't upload the image on dify workflow via api](https://github.com/langgenius/dify/discussions/7482) (Unsolved) <sup>[[1]](https://github.com/langgenius/dify/discussions/7482)</sup>. 2. [无法使用Xinference中的视觉模型，无法传入图片，files: []](https://github.com/langgenius/dify/issues/3940) (Closed) <sup>[[2]](https://github.com/langgenius/dify/issues/3940)</sup>. The 'list index out of range' error in the context of the Tongyi multi-modal model can occur due to several reasons: 1. **Accessing an Empty List**: If the list you're trying to access is empty, it will result in this error. Ensure that the list contains elements before accessing them. 2. **Incorrect Range Calculation**: Ensure that the range for iterating over inputs is correctly calculated to avoid accessing non-existent indices. 3. **Response Handling**: Ensure that the response from the `embed_documents` method contains the expected data structure before accessing its elements. Here is an example of how to handle the response correctly: ```python if response.output and "embeddings" in response.output and response.output["embeddings"]: data = response.output["embeddings"][0] if "embedding" in data: embeddings.append(data["embedding"]) else: raise ValueError("Embedding data is missing in the response.") else: raise ValueError("Response output is missing or does not contain embeddings.") ``` Additionally, ensure that the image ID is correctly formatted as a URL when passed to the Tongyi multi-modal model. If the image data is in base64 format, it should be converted to a file, and the file path should be used as the image URL <sup>[[3]](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/model_providers/tongyi/llm/llm.py)</sup>. For debugging and resolving errors related to image processing, follow these steps: 1. **Check the Error Code**: Identify the specific error code returned by the API. 2. **Verify Request Format**: Ensure the request is correctly formatted. 3. **Check File Type and Size**: Ensure the file type and size are within the supported limits. 4. **Validate API Key and Permissions**: Ensure the `API-Key` is valid and has the necessary permissions. 5. **Review Server Logs**: Check server logs for more detailed error messages. 6. **Test with Different Files**: Try uploading different files to determine if the issue is specific to certain files. 7. **Check S3 Configuration**: If using S3 for storage, ensure the S3 service is properly configured and accessible <sup>[[4]](https://github.com/langgenius/dify/blob/main/web/app/components/develop/template/template_advanced_chat.zh.mdx)</sup>. By following these steps, you should be able to identify and resolve the issue. <!-- Dosu Comment Footer --> *To continue talking to [Dosu](https://dosu.dev), mention @dosu.*
yindo commented 2026-02-21 18:12:16 -05:00
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@crazywoola commented on GitHub (Sep 21, 2024):

Please upgrade to the latest version to see if this persists.

@crazywoola commented on GitHub (Sep 21, 2024): Please upgrade to the latest version to see if this persists.
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