> For the complete documentation index, see [llms.txt](https://docs.kodesage.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kodesage.ai/api.md).

# KODESAGE API

- [Quickstart](https://docs.kodesage.ai/api/quickstart.md): Use the Kodesage Chat API to embed AI-powered chats in your app, enriched with your codebase and project data for smart assistance.
- [Request Format](https://docs.kodesage.ai/api/request-format.md): Learn how to structure request payloads for the Kodesage Chat API like field definitions, data types and sample setups.
- [Response Format](https://docs.kodesage.ai/api/response-format.md): Understand the response structure from the Kodesage Chat API such as parse returned data, errors and common response patterns.
- [Implementation Examples](https://docs.kodesage.ai/api/implementation-examples.md): See real-world implementation examples for the Kodesage Chat API including sample code in multiple languages and integration patterns.
- [Kodesage MCP Quickstart](https://docs.kodesage.ai/api/kodesage-mcp-quickstart.md)


---

# 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.kodesage.ai/api.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.
