> For the complete documentation index, see [llms.txt](https://help.chatlyai.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.chatlyai.app/products-and-features/omniagent.md).

# OmniAgent

OmniAgent lets you create images, videos, and music through a single, unified AI agent. Just describe what you want, and OmniAgent handles everything from start to finish.

Under the hood, it spins up a full sandbox environment with complete with access to specialized skills and the power of an entire virtual machine — so every creative task runs with the resources it actually needs. No switching between tools, no manual setup, no limits on complexity.

Whether you're generating original artwork, producing a short film clip, or composing a music track, OmniAgent works across all creative formats from one place. Describe your vision in plain language, and the agent takes care of the rest.

Start with a simple prompt, upload a reference file, or describe a style to begin. You can guide the output through natural conversation, switch modes mid-session, and iterate on any result until it's exactly right.


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# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://help.chatlyai.app/products-and-features/omniagent.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
