fix: max_tokens set to 1000 for "auto_generate_name"

[yzztin]

Summary

Close #14246

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• This change requires a documentation update, included: Dify Document
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• I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
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[yzztin]

I actually don't konw is it reasonable to set max_tokens be 1000, just in my case, it worked.

[crazywoola]

I actually don't konw is it reasonable to set max_tokens be 1000, just in my case, it worked.

I don't think this is a good idea, because you have more token consumption later.

[MrWangChong]

我实际上不知道这样设置是否合理max_tokens，1000但就我的情况而言，它有效。

May I ask how the code modification will take effect? I will use it in sequence:
docker compose down
docker compose pull
docker compose up -d
The result still doesn't work

I actually don't konw is it reasonable to set max_tokens be 1000, just in my case, it worked.

@yzztin
May I ask how the code modification will take effect? I will use it in sequence:
docker compose down
docker compose pull
docker compose up -d
The result still doesn't work

[yzztin]

@MrWangChong @littlebox692
If you want to resolve the problem not gracefully, you can change the max_token like me.
Steps for changing code in container:

1. use GUI tools go into the dify api container like vscode docker plugin
2. find the code in app/api/core/llm_generator/llm_generator.py, the functions is generate_conversation_name()
3. change the code nearly line 51: (just make the max_tokens bigger, a num which is enough for you)

original code: prompt_messages=prompts, model_parameters={"max_tokens": 100, "temperature": 1}, stream=False
changed code: prompt_messages=prompts, model_parameters={"max_tokens": 1000, "temperature": 1}, stream=False

4. restart the container, but not down, also you can docker commit it.

But, attention, it's not a good idea like @crazywoola said. What I recommend is waiting the official solution.

[MrWangChong]

@MrWangChong @littlebox692 If you want to resolve the problem not gracefully, you can change the max_token like me. Steps for changing code in container:

1. use GUI tools go into the dify api container like vscode docker plugin
2. find the code in app/api/core/llm_generator/llm_generator.py, the functions is generate_conversation_name()
3. change the code nearly line 51: (just make the max_tokens bigger, a num which is enough for you)

original code: prompt_messages=prompts, model_parameters={"max_tokens": 100, "temperature": 1}, stream=False
changed code: prompt_messages=prompts, model_parameters={"max_tokens": 1000, "temperature": 1}, stream=False

4. restart the container, but not down, also you can docker commit it.

But, attention, it's not a good idea like @crazywoola said. What I recommend is waiting the official solution.

@yzztin
Thank you for your response
I am certain that I have modified the max_token and restarted Docker. But it still hasn't taken effect.
This problem should only occur with deepseek-r1. I have tried switching to qwen2.5 and deepseek-v2, but still have this issue.