> For the complete documentation index, see [llms.txt](https://docs.epiora.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.epiora.xyz/the-agent.md). # The Agent
The Epiora Agent provides a natural-language interface over supported market and execution capabilities. The purpose of the Agent is not to replace deterministic execution logic. It is to make that logic easier to access. A user may express intent naturally: ``` Buy $100 of NVDA Sell half my AAPL Buy HYPE spot on Hyperliquid Long ETH with 3x leverage ``` The Agent interprets that intent and maps it into structured Epiora actions. It does not receive unrestricted authority to construct arbitrary transactions. This creates an important boundary: ``` Natural language | v Intent interpretation | v Deterministic Epiora tool | v Review | v Authorization | v Execution ``` The language model operates at the intent layer. Execution remains deterministic. --- # 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.epiora.xyz/the-agent.md?ask=&goal= ``` `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.