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

# Reference

- [Manifest & content schemas](https://docs.interactive.ai/agents/reference/manifest.md): The annotated map of every manifest field, linking each block to its concept page, plus where the exact field-level schema reference lives.
- [HTTP API](https://docs.interactive.ai/agents/reference/http-api.md): The agent server's inbound HTTP surface: auth, health, autonomous trigger, webhooks, tool-event injection, routine graph, and the conversation API.
- [Events & callbacks](https://docs.interactive.ai/agents/reference/events-and-callbacks.md): Exact wire shapes: conversation events (polling and webhook delivery) and the autonomous callback payload, with status and error-code tables.
- [Environment variables](https://docs.interactive.ai/agents/reference/environment.md): Environment configuration the platform sets on the agent: manifest env-refs (secrets) and fixed-name operator knobs, with defaults.
- [Built-in tools](https://docs.interactive.ai/agents/reference/built-in-tools.md): Call contracts for the two built-in tools: emit\_output (terminates autonomous runs) and reason (typed think-step inference), with every error code.
- [Limits & defaults](https://docs.interactive.ai/agents/reference/limits-and-defaults.md): Every default and cap in one table: manifest field defaults, operator env-var defaults, hardcoded model defaults, and behavioural constants.


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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
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

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GET https://docs.interactive.ai/agents/reference.md?ask=<question>&goal=<endgoal>
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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.
