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Why do the agents in Dify sometimes stop halfway through execution while they can execute normally at other times, even though the prompts are exactly the same? Do we need to configure anything for the model? #13465

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opened 2026-02-21 19:12:16 -05:00 by yindo · 4 comments
yindo commented 2026-02-21 19:12:16 -05:00
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Originally created by @peterliang5678 on GitHub (Apr 28, 2025).

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  • 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

1.1.3

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

Why do the agents in Dify sometimes stop halfway through execution while they can execute normally at other times, even though the prompts are exactly the same? Do we need to configure anything for the model?

✔️ Expected Behavior

No response

❌ Actual Behavior

No response

Originally created by @peterliang5678 on GitHub (Apr 28, 2025). ### 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 1.1.3 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce Why do the agents in Dify sometimes stop halfway through execution while they can execute normally at other times, even though the prompts are exactly the same? Do we need to configure anything for the model? ### ✔️ Expected Behavior _No response_ ### ❌ Actual Behavior _No response_
yindo added the 🌚 invalid🤔 cant-reproduce labels 2026-02-21 19:12:16 -05:00
yindo closed this issue 2026-02-21 19:12:16 -05:00
yindo commented 2026-02-21 19:12:16 -05:00
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@crazywoola commented on GitHub (Apr 28, 2025):

This is only for bug report, if you would like to ask a question, please head to Discussions.

@crazywoola commented on GitHub (Apr 28, 2025): 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).
yindo commented 2026-02-21 19:12:16 -05:00
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@crazywoola commented on GitHub (Apr 28, 2025):

And there are several basics you need to know.

  • context size
  • max tokens => answer.
  • prompt tokens

context size ≥ max tokens + prompt tokens

@crazywoola commented on GitHub (Apr 28, 2025): And there are several basics you need to know. - context size - max tokens => answer. - prompt tokens context size ≥ max tokens + prompt tokens
yindo commented 2026-02-21 19:12:17 -05:00
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@dosubot[bot] commented on GitHub (Apr 28, 2025):

To address the issue of agents in Dify stopping halfway through execution, you should configure the max_tokens parameter when calling the models. Proper configuration of the token limit is crucial for ensuring complete text output, as the choice of AI model and its token limits can affect the output. Make sure your selected model's token limit is sufficient for your use case [1].

Additionally, Dify agents currently lack memory functionality to maintain and execute steps across conversations, which can affect execution consistency in follow-up questions. This limitation is expected to be addressed in a future update [2].

If you are using external tools like Perplexity and Tavily, ensure you are using the latest versions of these tools. Upgrading to the latest versions can resolve issues where the agent becomes unresponsive after the first tool-assisted response [3].

Lastly, inconsistencies between direct workflow execution and agent-based tool execution can occur due to different AI models having varying tendencies in how they interpret and decide to call functions. Consider using a different AI model that aligns better with your workflow's output expectations to ensure consistent tool execution [4].

To continue talking to Dosu, mention @dosu.

Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Bug Report | Other

@dosubot[bot] commented on GitHub (Apr 28, 2025): <!-- Answer --> To address the issue of agents in Dify stopping halfway through execution, you should configure the `max_tokens` parameter when calling the models. Proper configuration of the token limit is crucial for ensuring complete text output, as the choice of AI model and its token limits can affect the output. Make sure your selected model's token limit is sufficient for your use case <sup>[[1]](https://github.com/langgenius/dify/issues/16545)</sup>. Additionally, Dify agents currently lack memory functionality to maintain and execute steps across conversations, which can affect execution consistency in follow-up questions. This limitation is expected to be addressed in a future update <sup>[[2]](https://github.com/langgenius/dify/issues/17420)</sup>. If you are using external tools like Perplexity and Tavily, ensure you are using the latest versions of these tools. Upgrading to the latest versions can resolve issues where the agent becomes unresponsive after the first tool-assisted response <sup>[[3]](https://github.com/langgenius/dify/issues/16970)</sup>. Lastly, inconsistencies between direct workflow execution and agent-based tool execution can occur due to different AI models having varying tendencies in how they interpret and decide to call functions. Consider using a different AI model that aligns better with your workflow's output expectations to ensure consistent tool execution <sup>[[4]](https://github.com/langgenius/dify/issues/16579)</sup>. <!-- Dosu Comment Footer --> *To continue talking to [Dosu](https://dosu.dev), mention @dosu.* --- <sup>Help Dosu learn! Give it feedback: [Great Response](https://app.dosu.dev/response-feedback/89d0b92e-c1f0-40f0-ba28-7d99fde627d4?feedback_type=great_response) | [Irrelevant Answer](https://app.dosu.dev/response-feedback/89d0b92e-c1f0-40f0-ba28-7d99fde627d4?feedback_type=irrelevant_answer) | [Incorrect Sources](https://app.dosu.dev/response-feedback/89d0b92e-c1f0-40f0-ba28-7d99fde627d4?feedback_type=incorrect_sources) | [Too Verbose](https://app.dosu.dev/response-feedback/89d0b92e-c1f0-40f0-ba28-7d99fde627d4?feedback_type=too_verbose) | [Hallucination](https://app.dosu.dev/response-feedback/89d0b92e-c1f0-40f0-ba28-7d99fde627d4?feedback_type=hallucination) | [Bug Report](https://app.dosu.dev/response-feedback/89d0b92e-c1f0-40f0-ba28-7d99fde627d4?feedback_type=bug_report) | [Other](https://app.dosu.dev/response-feedback/89d0b92e-c1f0-40f0-ba28-7d99fde627d4?feedback_type=other)</sup>
yindo commented 2026-02-21 19:12:17 -05:00
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@peterliang5678 commented on GitHub (Apr 29, 2025):

And there are several basics you need to know.

  • context size
  • max tokens => answer.
  • prompt tokens

context size ≥ max tokens + prompt tokens

I have modified the settings you mentioned, but the agent doesn't display properly sometimes. What open-source models do you recommend using? Currently, Qwen-3 doesn't work well, Qwen-2.5 works sometimes, and DeepSeek-R1 doesn't work.

@peterliang5678 commented on GitHub (Apr 29, 2025): > And there are several basics you need to know. > > * context size > * max tokens => answer. > * prompt tokens > > context size ≥ max tokens + prompt tokens I have modified the settings you mentioned, but the agent doesn't display properly sometimes. What open-source models do you recommend using? Currently, Qwen-3 doesn't work well, Qwen-2.5 works sometimes, and DeepSeek-R1 doesn't work.
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Reference: langgenius/dify#13465
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