🚀 Getting Started

Welcome to Beak AI! This high-level guide will help you understand the main steps to begin using the Beak AI platform.

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Overview

Beak AI enables you to build, deploy, and manage enterprise AI agents and workflows. Getting started typically involves:

1. Setting up your environment

   • Install required dependencies (Python, Node.js, Docker, etc.)
   • Configure environment variables

2. Launching the platform

   • Start the backend and frontend services
   • Access the documentation and UI

3. Building your first project

   • Use Beak AI Studio to create agents and workflows
   • Integrate data sources and skills

4. Enabling observability and security

   • Set up tracing, debugging, and evaluation
   • Apply security policies and guardrails

5. Connecting to LLM providers

   • Configure Beak AI Gateway for unified LLM access

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Next Steps

• Deployment Guide: Step-by-step instructions for installing and running Beak AI.
• Customizing Skills: How to add and manage custom skills.
• Studio Integrations: Integrate data sources and external systems.
• Security Policies: Enforce policies and guardrails.
• Gateway Routing: Configure LLM routing and providers.

For more details, explore the full documentation or reach out to the Beak AI team for support.