> For the complete documentation index, see [llms.txt](https://sogni.gitbook.io/sogni-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sogni.gitbook.io/sogni-docs/our-superapps/sogni-chat.md).

# Sogni Chat

Sogni Chat is a conversational creative assistant that lets users ask for images, videos, edits, restorations, personas, and media workflows in plain language.

### Who it is for

Mainstream users who do not want to choose models or advanced settings, plus creators who want faster iteration through chat.

### How it works

The user describes what they want, uploads references if needed, and Chat chooses the right Sogni tools. Sogni Chat is powered by an OpenAI-compatible LLM service running on the Supernet, currently using Qwen models with streaming, tool calling, multi-turn conversations, and platform tools for image, audio, and video tasks.

### Sample Workflows

"Restore this old photo," "turn this selfie into a cinematic character," "make a 360 video from this product image," "create a poster and then animate it," or "make three variations and refine the best one."

### Workflows

Coming soon


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# Agent Instructions
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## 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:

```
GET https://sogni.gitbook.io/sogni-docs/our-superapps/sogni-chat.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
