# AI Assistant Integration Resources

> Machine-readable documentation resources for AI coding assistants and LLMs integrating with Aembit.

Aembit supports the [llms.txt](https://llmstxt.org/) convention for Large Language Models (LLM) to learn about Aembit. This standard provides a way for LLMs to understand the capabilities and features of Aembit, as well as how to interact with it.

> **This page vs. the AI Guide**
>
> This page provides **machine-readable documentation** that you feed to AI coding assistants (Claude, Copilot, ChatGPT). It helps them generate code that integrates with Aembit.
>
> The [AI Guide](/ai-guide/) documents **Aembit’s MCP integrations**—tools that let AI assistants directly query Aembit event logs, authorization events, and audit data.

> **Looking for human-readable docs?**
>
> This page provides machine-readable resources for AI coding assistants.
>
> **For human-readable docs:**
>
> * [Get Started Guide](/get-started/) - understand Aembit workload identity concepts
> * [How Aembit Works](/get-started/how-aembit-works) - understand Aembit’s architecture and security model
> * [Client Workload Configuration](/user-guide/access-policies/client-workloads) - configure workloads including Kubernetes integration
> * [User Guide](/user-guide/) - configure and manage Aembit

## Using these resources with AI assistants

Feed these resources to AI coding assistants (Claude, GitHub Copilot, ChatGPT) when you need help implementing Aembit integrations.

**Example workflows:**

* **Generating API integration code:** Provide `llms-api-cloud-endpoints.txt` or `llms-api-edge-endpoints.txt` when asking your LLM to generate API client code
* **Understanding configuration options:** Use `llms-full.txt` when asking questions about Aembit features, concepts, and configuration patterns
* **Troubleshooting:** Provide relevant resource to your LLM along with error messages for context-aware debugging suggestions

## Main documentation

Core Aembit documentation including [Get Started Guide](/get-started/), [User Guide](/user-guide/), [CLI Guide](/dev-guide/cli), and [support information](/support-overview). All variants cover workload identity concepts, Client Workload configuration, Access Policies, Trust Providers, and Credential Providers.

* [llms.txt](/llms.txt) - Index of every page, each linking to that page’s Markdown (smallest download, load only the pages you need)
* [llms-full.txt](/llms-full.txt) - Complete main documentation including advanced configuration and examples (comprehensive)

## Aembit Cloud API

Complete API reference for the Aembit Cloud API, separated into focused resources for efficient token usage. Covers API endpoints, authentication, access management, policy configuration, and credential provider operations.

* [llms-api-cloud-full.txt](/llms-api-cloud-full.txt) - Complete Cloud API reference including endpoints and schemas (comprehensive)
* [llms-api-cloud-endpoints.txt](/llms-api-cloud-endpoints.txt) - Cloud API endpoints reference only (optimized for code generation)
* [llms-api-cloud-schemas.txt](/llms-api-cloud-schemas.txt) - Cloud API schemas reference only (data models and types)

## Aembit Edge API

Complete API reference for the Aembit Edge API, separated into focused resources for efficient token usage. Covers Edge deployment, Kubernetes integration, local authentication, and workload identity verification.

* [llms-api-edge-full.txt](/llms-api-edge-full.txt) - Complete Edge API reference including endpoints and schemas (comprehensive)
* [llms-api-edge-endpoints.txt](/llms-api-edge-endpoints.txt) - Edge API endpoints reference only (optimized for code generation)
* [llms-api-edge-schemas.txt](/llms-api-edge-schemas.txt) - Edge API schemas reference only (data models and types)