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Introduction

Welcome to AI Agent Patterns - a comprehensive collection of proven patterns for building AI agents that work in production environments.

What Are AI Agent Patterns?​

AI Agent Patterns are reusable solutions to common problems encountered when building AI agents. These patterns address challenges like:

  • Resource Management: Controlling costs and usage of expensive operations
  • Tool Coordination: Managing multiple tools and their interactions
  • Error Handling: Graceful degradation when tools fail or are unavailable
  • Performance Optimization: Balancing speed, accuracy, and resource usage

Why Use Patterns?​

Building AI agents involves many decisions about architecture, resource management, and user experience. Patterns provide:

  • Proven Solutions: Battle-tested approaches that work in real applications
  • Best Practices: Guidance on implementation and deployment
  • Multi-Library Support: Examples across different AI frameworks
  • Production Ready: Considerations for scalability, monitoring, and maintenance

Getting Started​

Choose your path:

  1. New to AI Agents? Start with our Getting Started Guide
  2. Looking for Specific Solutions? Browse our Patterns Overview
  3. Framework-Specific Help? Browse our Pattern Examples

The Tool Budget Pattern helps you control costs by implementing hard limits on expensive tool usage while maintaining agent effectiveness.

Key Benefits:

  • Prevents runaway costs in production
  • Maintains functionality through graceful degradation
  • Provides clear feedback to both agents and users

Learn about the Tool Budget Pattern →

Community & Contributing​

This project is open-source and welcomes contributions:

  • Report Issues: Found a bug or have a suggestion?
  • Contribute Patterns: Share your own proven patterns
  • Improve Documentation: Help make these patterns more accessible

Next Steps​