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[ollama] Error xxxx is not valid. Should be a string, a list/tuple of strings or a list/tuple of integers. #5870

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opened 2026-02-21 18:12:57 -05:00 by yindo · 4 comments
yindo commented 2026-02-21 18:12:57 -05:00
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Originally created by @ednow on GitHub (Sep 30, 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

0.8.3

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

I tested llava 34B with ollama.However seems issues occured, when it generated a while.

image

the error modal detail:

[ollama] Error: Input [TextPromptMessageContent(type=<PromptMessageContentType.TEXT: 'text'>, data='描述下这张图'), ImagePromptMessageContent(type=<PromptMessageContentType.IMAGE: 'image'>, data='data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANYAAACFCAIAAACom5EgAAAGiElEQVR4Ae3cQU7bThTHcS6RY/UIcJVs2kUOwbab7rkA6yKB9FfFoiIitVRBUBDBSjYwf70ZezIxqYkJyc9xvhFCrpPmJe99/GbGxDly3MiANANH0ugEJwMOgiAQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEL6NBPO5G43dr8xdDd3lQf5cDe3tj8Yun3ef6NHr62t8l23Yvr13//1x2YObTN3zzGpwgD/PM3v72YOlYjR2bajL9l5Du7rg77/u5u5w5b092J5nlpDff2OX6OCGdcFwc86Otre3ne2/vbd0vy0De27u3O19tTo7q0uFxKfHbUsXzOc26BzsyFt/mD3PLDldnRe2heBobFOf+koc8r3Zg00KO3lrC8FfmU3ADxlZ/XufTG2N3MlbW1bEV0NG4boj8Hlmp6jCPCxC3N4qNYTYzfO3pQteDusKUN8hDuTeS08w+uvMBgT3hj4Et3vUbdIFr7OX6+ylWS/Mpscnk8GFy/1G72Sy/PN0Hk6JXzz1Th6/Zw2Ynp9Oev3psHpGPR+cTHr9xyJofFrb8C+j+vgVESHYXoLffsy+/Zg1JDgfRgdW/vn3/qR3mlefZOkxbnj2mEodXDgDF/n6/76KYPA3HWb5oD8x02cmz/+Y9WE2r8ZdJRKC3SJYqbHvhcdnSxSWeFkPm54bQd8U0+4VG+rcU4si/UaV6eLeZs01n9ufyzt5W/3XkfQM+G62NxmIP9AFfT97Og/Nb8Gi2tLysguG3vYeQRs9F10wZVoRv7jLum+F/r86YiAY/1axm7qEcFuN1YXlyEcIZrmNvH7SFobXxbwwHY4bE/QDepgLRmeV6abd6x9W0m9EsHuNcC8JXmcvgV34/eXr9MvXabpn/dVJ8LdAUHApliNlsyx62xpd0I/FAfEyQSOe9shKX1zjn50diFtyVDUaiN8l+K+xrLo/KvHTuBLiopPFUXXdgTidU5YdtLro7k8XK6HFC1ixBK682s4S3M0Z8AC9JlYjgpXafGAgThqSgRtcWPc6Pn06LtYcoQt6i8k6t6YLhuXtwBbI5TpjmeBSF/TyPrYirslh7Cb79Zi9HIg/g2DBKwzEvdOn5Lyd52irY9vwdNIHL62IrTuelGdzAqw4lVwm6MH5B6ddcI3xN77ZLnfBHax6wnFZs5rbdRcsRsypyTM0BTsTGRphf/rTTsEstcPCa7mMCI2tIFI0tmISmc/DSUTv1cd62wUXe6LaWpGsiGOb38rGjgl6TOmIaf2pnAsW07LzU9sT2Q0uElUeXEpwaEvs4gmL1hi7Y0HQlJdRfFstKVfixrZX2ehsF9wKqOZPugnB9de/laLu1z8h2JxVk/+xCcH9kvThV3sQBNOVVOpnB/sh+C7NtwR3UJeUQdz+3LhtWRHzkdV6gvEjq9FBZzbaQpAP7tcT7PIH91tyMHH5Uj1BLl/aOlQu4qwhyEWcW/cXAozGXMq++i/FN3edvYLTOVdcQRfWOPLffKFHpRemX+ghr0741OCn/27LciR22tGYrzWy61nTrzWKyenkRusIOmeDEV/udkBf7tbJA4s3tUcZWPFtCumcI7yTdE/YZj95SFVs4qGNA/EeHcG81M0z0JYr6NrwmUVew1avlItds5JnuuDmhzHPsFEG/gcWq63YNgbjYgAAAABJRU5ErkJggg==', detail=<DETAIL.HIGH: 'high'>)] is not valid. Should be a string, a list/tuple of strings or a list/tuple of integers.

ollama version: 0.3.12
llava model detail:

ollama show llava:34B
  Model
    architecture        llama
    parameters          34.4B
    context length      4096
    embedding length    7168
    quantization        Q4_0

  Projector
    architecture        clip
    parameters          349.64M
    embedding length    1024
    dimensions          768

  Parameters
    stop    "<|im_start|>"
    stop    "<|im_end|>"

  License
    Apache License
    Version 2.0, January 2004

✔️ Expected Behavior

llava model functionally generate text

❌ Actual Behavior

stop when llava model generate in a half

Originally created by @ednow on GitHub (Sep 30, 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 0.8.3 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce I tested llava 34B with ollama.However seems issues occured, when it generated a while. ![image](https://github.com/user-attachments/assets/f6a78f3d-bedb-4950-8667-359f38e30e16) the error modal detail: ``` [ollama] Error: Input [TextPromptMessageContent(type=<PromptMessageContentType.TEXT: 'text'>, data='描述下这张图'), ImagePromptMessageContent(type=<PromptMessageContentType.IMAGE: 'image'>, data='data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANYAAACFCAIAAACom5EgAAAGiElEQVR4Ae3cQU7bThTHcS6RY/UIcJVs2kUOwbab7rkA6yKB9FfFoiIitVRBUBDBSjYwf70ZezIxqYkJyc9xvhFCrpPmJe99/GbGxDly3MiANANH0ugEJwMOgiAQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEB6CGBBnAILiAhAeghgQZwCC4gIQHoIYEGcAguICEL6NBPO5G43dr8xdDd3lQf5cDe3tj8Yun3ef6NHr62t8l23Yvr13//1x2YObTN3zzGpwgD/PM3v72YOlYjR2bajL9l5Du7rg77/u5u5w5b092J5nlpDff2OX6OCGdcFwc86Otre3ne2/vbd0vy0De27u3O19tTo7q0uFxKfHbUsXzOc26BzsyFt/mD3PLDldnRe2heBobFOf+koc8r3Zg00KO3lrC8FfmU3ADxlZ/XufTG2N3MlbW1bEV0NG4boj8Hlmp6jCPCxC3N4qNYTYzfO3pQteDusKUN8hDuTeS08w+uvMBgT3hj4Et3vUbdIFr7OX6+ylWS/Mpscnk8GFy/1G72Sy/PN0Hk6JXzz1Th6/Zw2Ynp9Oev3psHpGPR+cTHr9xyJofFrb8C+j+vgVESHYXoLffsy+/Zg1JDgfRgdW/vn3/qR3mlefZOkxbnj2mEodXDgDF/n6/76KYPA3HWb5oD8x02cmz/+Y9WE2r8ZdJRKC3SJYqbHvhcdnSxSWeFkPm54bQd8U0+4VG+rcU4si/UaV6eLeZs01n9ufyzt5W/3XkfQM+G62NxmIP9AFfT97Og/Nb8Gi2tLysguG3vYeQRs9F10wZVoRv7jLum+F/r86YiAY/1axm7qEcFuN1YXlyEcIZrmNvH7SFobXxbwwHY4bE/QDepgLRmeV6abd6x9W0m9EsHuNcC8JXmcvgV34/eXr9MvXabpn/dVJ8LdAUHApliNlsyx62xpd0I/FAfEyQSOe9shKX1zjn50diFtyVDUaiN8l+K+xrLo/KvHTuBLiopPFUXXdgTidU5YdtLro7k8XK6HFC1ixBK682s4S3M0Z8AC9JlYjgpXafGAgThqSgRtcWPc6Pn06LtYcoQt6i8k6t6YLhuXtwBbI5TpjmeBSF/TyPrYirslh7Cb79Zi9HIg/g2DBKwzEvdOn5Lyd52irY9vwdNIHL62IrTuelGdzAqw4lVwm6MH5B6ddcI3xN77ZLnfBHax6wnFZs5rbdRcsRsypyTM0BTsTGRphf/rTTsEstcPCa7mMCI2tIFI0tmISmc/DSUTv1cd62wUXe6LaWpGsiGOb38rGjgl6TOmIaf2pnAsW07LzU9sT2Q0uElUeXEpwaEvs4gmL1hi7Y0HQlJdRfFstKVfixrZX2ehsF9wKqOZPugnB9de/laLu1z8h2JxVk/+xCcH9kvThV3sQBNOVVOpnB/sh+C7NtwR3UJeUQdz+3LhtWRHzkdV6gvEjq9FBZzbaQpAP7tcT7PIH91tyMHH5Uj1BLl/aOlQu4qwhyEWcW/cXAozGXMq++i/FN3edvYLTOVdcQRfWOPLffKFHpRemX+ghr0741OCn/27LciR22tGYrzWy61nTrzWKyenkRusIOmeDEV/udkBf7tbJA4s3tUcZWPFtCumcI7yTdE/YZj95SFVs4qGNA/EeHcG81M0z0JYr6NrwmUVew1avlItds5JnuuDmhzHPsFEG/gcWq63YNgbjYgAAAABJRU5ErkJggg==', detail=<DETAIL.HIGH: 'high'>)] is not valid. Should be a string, a list/tuple of strings or a list/tuple of integers. ``` **ollama version**: 0.3.12 **llava model detail**: ``` ollama show llava:34B Model architecture llama parameters 34.4B context length 4096 embedding length 7168 quantization Q4_0 Projector architecture clip parameters 349.64M embedding length 1024 dimensions 768 Parameters stop "<|im_start|>" stop "<|im_end|>" License Apache License Version 2.0, January 2004 ``` ### ✔️ Expected Behavior llava model functionally generate text ### ❌ Actual Behavior stop when llava model generate in a half
yindo added the 🐞 bug label 2026-02-21 18:12:57 -05:00
yindo closed this issue 2026-02-21 18:12:57 -05:00
yindo commented 2026-02-21 18:12:58 -05:00
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@dosubot[bot] commented on GitHub (Sep 30, 2024):

Hello @ednow! I'm here to help you with bugs, questions, and contributions. Let's work on resolving the issue together.

To resolve the error you're encountering with the llava 34B model and ollama, you need to ensure that the content field in UserPromptMessage is correctly formatted. The error occurs because the content field is being set to a list of TextPromptMessageContent and ImagePromptMessageContent objects, which is not valid. Instead, you should concatenate the text and image data into a single string or handle them separately as required by the model.

Here is an example of how you can modify the code to resolve the error:

def test_invoke_completion_model_with_vision():
    model = OllamaLargeLanguageModel()
    result = model.invoke(
        model="llava",
        credentials={
            "base_url": os.environ.get("OLLAMA_BASE_URL"),
            "mode": "completion",
            "context_size": 2048,
            "max_tokens": 2048,
        },
        prompt_messages=[
            UserPromptMessage(
                content="What is this in this picture? data:image/png;base64,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"
            )
        ]
    )

In this example, the content field is a single string that includes both the text and the base64-encoded image data. Adjust the string concatenation as needed to fit the specific requirements of your model [1].

To continue talking to Dosu, mention @dosu.

@dosubot[bot] commented on GitHub (Sep 30, 2024): <!-- Greeting --> Hello @ednow! I'm here to help you with bugs, questions, and contributions. Let's work on resolving the issue together. <!-- Answer --> To resolve the error you're encountering with the llava 34B model and ollama, you need to ensure that the `content` field in `UserPromptMessage` is correctly formatted. The error occurs because the `content` field is being set to a list of `TextPromptMessageContent` and `ImagePromptMessageContent` objects, which is not valid. Instead, you should concatenate the text and image data into a single string or handle them separately as required by the model. Here is an example of how you can modify the code to resolve the error: ```python def test_invoke_completion_model_with_vision(): model = OllamaLargeLanguageModel() result = model.invoke( model="llava", credentials={ "base_url": os.environ.get("OLLAMA_BASE_URL"), "mode": "completion", "context_size": 2048, "max_tokens": 2048, }, prompt_messages=[ UserPromptMessage( content="What is this in this picture? data:image/png;base64,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" ) ] ) ``` In this example, the `content` field is a single string that includes both the text and the base64-encoded image data. Adjust the string concatenation as needed to fit the specific requirements of your model <sup>[[1]](https://github.com/langgenius/dify/blob/main/api/tests/integration_tests/model_runtime/ollama/test_llm.py)</sup>. <!-- Dosu Comment Footer --> *To continue talking to [Dosu](https://dosu.dev), mention @dosu.*
yindo commented 2026-02-21 18:12:58 -05:00
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@CQchunqiu commented on GitHub (Sep 30, 2024):

这是来自QQ邮箱的假期自动回复邮件。
 
您好，我最近正在休假中，无法亲自回复您的邮件。我将在假期结束后，尽快给您回复。

@CQchunqiu commented on GitHub (Sep 30, 2024): 这是来自QQ邮箱的假期自动回复邮件。   您好，我最近正在休假中，无法亲自回复您的邮件。我将在假期结束后，尽快给您回复。
yindo commented 2026-02-21 18:12:58 -05:00
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@crazywoola commented on GitHub (Sep 30, 2024):

Will be fixed in 0.9.0

@crazywoola commented on GitHub (Sep 30, 2024): Will be fixed in 0.9.0
yindo commented 2026-02-21 18:12:58 -05:00
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@ednow commented on GitHub (Sep 30, 2024):

Will be fixed in 0.9.0

When will 0.9.0 be finished, I can't find any clues on this website: roadmap

@ednow commented on GitHub (Sep 30, 2024): > Will be fixed in 0.9.0 When will 0.9.0 be finished, I can't find any clues on this website: [roadmap](https://roadmap.dify.ai/roadmap)
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