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Updated max_tokens descriptions (#6751)

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### What problem does this PR solve?

#6721 

### Type of change


- [x] Documentation Update
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writinwaters
2025-04-02 13:56:55 +08:00
committed by GitHub
parent fc02929946
commit 2471a6e115
6 changed files with 30 additions and 17 deletions
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docs/guides/agent/agent_component_reference/categorize.mdx
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@ -33,7 +33,7 @@ Click the dropdown menu of **Model** to show the model configuration window.
- **Model**: The chat model to use.
- Ensure you set the chat model correctly on the **Model providers** page.
- You can use different models for different components to increase flexibility or improve overall performance.
- **Preset configurations**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model. From **Improvise**, **Precise**, to **Balance**, each preset configuration corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.
- **Freedom**: A shortcut to **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty** settings, indicating the freedom level of the model. From **Improvise**, **Precise**, to **Balance**, each preset configuration corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.
This parameter has three options:
- **Improvise**: Produces more creative responses.
- **Precise**: (Default) Produces more conservative responses.
@ -52,9 +52,6 @@ Click the dropdown menu of **Model** to show the model configuration window.
- **Frequency penalty**: Discourages the model from repeating the same words or phrases too frequently in the generated text.
- A higher **frequency penalty** value results in the model being more conservative in its use of repeated tokens.
- Defaults to 0.7.
- **Max tokens**: Sets the maximum length of the model's output, measured in the number of tokens.
- Defaults to 512.
- If disabled, you lift the maximum token limit, allowing the model to determine the number of tokens in its responses.
:::tip NOTE
- It is not necessary to stick with the same model for all components. If a specific model is not performing well for a particular task, consider using a different one.