> For the complete documentation index, see [llms.txt](https://docs.convai.com/api-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.convai.com/api-docs/plugins-and-integrations/unity-plugin/utilities/character-emotion.md).

# Character Emotion

Convai Character emit character emotions when they interact with the player and these emotions help in making the character more human-like, we are starting to implement a system which you as a developer can use to make your game more interactive using the character emotions.

Whenever the character responds to the user, we send back a list of emotions to the SDK, which look something like this

<figure><img src="/files/o0KhHQpYxz5MQ0hHb5O3" alt=""><figcaption></figcaption></figure>

For v0 of this system, we will only be sending the emotions, in future we will apply the facial expressions corresponding to each emotion which will make the character more interactive.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.convai.com/api-docs/plugins-and-integrations/unity-plugin/utilities/character-emotion.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
