# 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)


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# Agent Instructions: 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://docs.kodesage.ai/api.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.