> ## Documentation Index
> Fetch the complete documentation index at: https://docs.enkryptai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Comprehensive API documentation for Enkrypt AI services

Welcome to the Enkrypt AI API Reference documentation. Here you'll find detailed information about all our available APIs and services.

## Getting Started

Each API section contains:

* **Introduction**: Overview and key concepts
* **Endpoints**: Detailed API reference with request/response examples
* **Authentication**: Security and authorization requirements
* **Rate Limits**: Usage limitations and guidelines

Choose an API section from the navigation to explore the detailed documentation.

## Available APIs

### [📋 Code of Conduct API](/api-reference/coc-api-reference/endpoint/policy-atomizer)

Policy management and enforcement tools for implementing organizational guidelines and compliance rules.

### [🛡️ Guardrails API](/api-reference/guardrails-api-reference/endpoint/health-check)

Comprehensive AI safety and content moderation capabilities including detection of prompt injection, toxicity, PII, and more.

### [🤖 Models API](/api-reference/models-api-reference/endpoint/add-model)

Model management and configuration endpoints for deploying and managing AI models.

### [🔴 Red Team API](/api-reference/redteam-api-reference/endpoint/health)

Security testing and vulnerability assessment tools for AI systems.

### [🚀 Deployments API](/api-reference/deployments-api-reference/endpoint/add-deployment)

Infrastructure and deployment management for AI model serving and scaling.

### [🔌 AI Proxy API](/api-reference/ai-proxy-api-reference/endpoint/chat-completions)

Unified API gateway for accessing multiple AI providers with consistent interfaces.

### [🏆 Leaderboard API](/api-reference/leaderboard-api-reference/endpoint/v2/models/models-list)

Model performance comparison and benchmarking data access.

### [📊 Datasets API](/api-reference/datasets-api-reference/endpoint/add-task)

Dataset management and processing capabilities for AI training and evaluation workflows.