# MegaLLM

## Docs

- [Create chat completion](https://docs.megallm.io/api-reference/chat/create-chat-completion.md): Generate conversational AI responses using the OpenAI-compatible chat completions API
- [Create message](https://docs.megallm.io/api-reference/messages/create-message.md): Create conversational messages using the Anthropic-compatible Messages API
- [List models](https://docs.megallm.io/api-reference/models/list-models.md): List all available AI models with their capabilities and pricing
- [Claude Code Configuration](https://docs.megallm.io/en/agents/claude.md): Configure Claude Code to use MegaLLM
- [Cline Configuration](https://docs.megallm.io/en/agents/cline.md): Configure Cline VSCode extension to use MegaLLM
- [Codex/Windsurf Configuration](https://docs.megallm.io/en/agents/codex.md): Configure Codex and Windsurf to use MegaLLM
- [Kilocode Configuration](https://docs.megallm.io/en/agents/kilocode.md): Configure Kilocode VSCode extension to use MegaLLM
- [OpenCode Configuration](https://docs.megallm.io/en/agents/opencode.md): Configure OpenCode to use MegaLLM
- [AI Coding Agents Overview](https://docs.megallm.io/en/agents/overview.md): Configure AI coding agents to use MegaLLM - CLI tools and GUI extensions
- [RooCode Configuration](https://docs.megallm.io/en/agents/roocode.md): Configure RooCode standalone application to use MegaLLM
- [Function Calling](https://docs.megallm.io/en/api-reference/endpoint/function-calling.md): Enable AI models to interact with external tools, APIs, and functions for building intelligent agents and automation workflows.
- [Streaming](https://docs.megallm.io/en/api-reference/endpoint/streaming.md): Stream AI responses in real-time using Server-Sent Events (SSE) for improved user experience in interactive applications.
- [API Reference](https://docs.megallm.io/en/api-reference/introduction.md): Welcome to the MegaLLM API reference documentation. MegaLLM provides unified access to 70+ AI models through OpenAI-compatible and Anthropic-compatible REST APIs.
- [Claude Code Configuration](https://docs.megallm.io/en/cli/claude-config.md): Configure Claude Code to use MegaLLM
- [Codex/Windsurf Configuration](https://docs.megallm.io/en/cli/codex-config.md): Configure Codex and Windsurf to use MegaLLM
- [Configuration Overview](https://docs.megallm.io/en/cli/configuration.md): The MegaLLM CLI configures AI coding assistants by creating configuration files and setting environment variables. Each tool has its own configuration format and storage location.
- [Usage Examples](https://docs.megallm.io/en/cli/examples.md): Practical examples showing how to use the MegaLLM CLI in different scenarios.
- [FAQ](https://docs.megallm.io/en/cli/faq.md): Common questions and answers about the MegaLLM NPM package and CLI tool.
- [Installation](https://docs.megallm.io/en/cli/installation.md): Learn how to install and run the MegaLLM CLI on your system.
- [OpenCode Configuration](https://docs.megallm.io/en/cli/opencode-config.md): Configure OpenCode to use MegaLLM
- [CLI Overview](https://docs.megallm.io/en/cli/overview.md): The MegaLLM CLI is an interactive setup tool that configures AI coding assistants to use the MegaLLM AI service. It automates configuration, manages API keys securely, and provides seamless setup across multiple platforms.
- [Troubleshooting](https://docs.megallm.io/en/cli/troubleshooting.md): Solutions to common issues when using the MegaLLM CLI.
- [Messages](https://docs.megallm.io/en/dev-docs/anthropic/messages.md): The Messages API is the core interface for interacting with Claude models. Send messages and receive AI-generated responses with support for conversations, tool use, and vision.
- [Anthropic API](https://docs.megallm.io/en/dev-docs/anthropic/overview.md): MegaLLM provides full compatibility with Anthropic's Claude API format, enabling you to use Claude models through our infrastructure.
- [Authentication](https://docs.megallm.io/en/dev-docs/getting-started/authentication.md): MegaLLM uses API keys for authentication. This guide covers all authentication methods and best practices.
- [Quick Start](https://docs.megallm.io/en/dev-docs/getting-started/quick-start.md): Get up and running with MegaLLM API in just a few minutes. This guide will walk you through the initial setup and your first API call.
- [Chat Completions](https://docs.megallm.io/en/dev-docs/openai/chat-completions.md): The Chat Completions API enables you to build conversational experiences using GPT models. Send a list of messages and receive an AI-generated response.
- [Function Calling](https://docs.megallm.io/en/dev-docs/openai/function-calling.md): Enable your AI assistant to interact with external tools, APIs, and functions. Perfect for building agents that can perform actions, retrieve real-time data, and integrate with your existing systems.
- [OpenAI API](https://docs.megallm.io/en/dev-docs/openai/overview.md): MegaLLM provides full compatibility with OpenAI's API format, allowing you to use existing OpenAI SDKs and tools seamlessly.
- [Streaming](https://docs.megallm.io/en/dev-docs/openai/streaming.md): Stream chat completions in real-time for a more interactive user experience. Perfect for chatbots, live assistants, and responsive applications.
- [FAQ](https://docs.megallm.io/en/home/faq.md): Find answers to common questions about MegaLLM - the universal AI platform connecting 70+ models.
- [First Request](https://docs.megallm.io/en/home/getting-started/first-request.md): Let's build a simple AI application step-by-step. You'll learn how to make requests, handle responses, and work with different models.
- [Next Steps](https://docs.megallm.io/en/home/getting-started/next-steps.md): You've made your first AI request! Here's what to explore next.
- [Getting Started](https://docs.megallm.io/en/home/getting-started/overview.md): Get up and running with MegaLLM in just a few minutes. Access 70+ AI models through one unified API.
- [Quick Start](https://docs.megallm.io/en/home/getting-started/quick-start.md): Get started with MegaLLM in just 2 minutes. This guide will help you make your first API call.
- [Setup Guide](https://docs.megallm.io/en/home/getting-started/setup.md): Complete guide to setting up MegaLLM for your development environment.
- [MegaLLM Documentation](https://docs.megallm.io/en/home/introduction.md): Welcome to MegaLLM - the universal AI platform that connects 70+ large language models through a single, powerful API.
- [Models Catalog](https://docs.megallm.io/en/home/models.md): Access cutting-edge AI models from leading providers through a single, unified API. All models are accessible using their model ID in your API calls.
- [Release Notes](https://docs.megallm.io/en/releases/overview.md): Stay up to date with the latest features, improvements, and changes to the MegaLLM platform.
- [Resources](https://docs.megallm.io/en/resources/overview.md): Find additional resources, guides, tutorials, and community content for MegaLLM.

## OpenAPI Specs

- [openapi](https://docs.megallm.io/ru/api-reference/openapi.json)

## Optional

- [Dashboard](https://megallm.io/dashboard/overview)
- [Discord](https://discord.gg/Megallm)
- [GitHub](https://github.com/megallm)