User Guide

This section contains detailed guides for working with Atomic Agents.

Guides

Implementation Patterns

The framework supports various implementation patterns and use cases:

Chatbots and Assistants

  • Basic chat interfaces with any LLM provider

  • Streaming responses

  • Custom response schemas

  • Suggested follow-up questions

  • History management and context retention

  • Multi-turn conversations

RAG Systems

  • Query generation and optimization

  • Context-aware responses

  • Document Q&A with source tracking

  • Information synthesis and summarization

  • Custom embedding and retrieval strategies

  • Hybrid search approaches

Specialized Agents

  • YouTube video summarization and analysis

  • Web search and deep research

  • Recipe generation from various sources

  • Multimodal interactions (text, images, etc.)

  • Custom tool integration

  • Custom MCP integration to support tools, resources, and prompts

  • Task orchestration

Provider Integration Guide

Atomic Agents is designed to be provider-agnostic. Here’s how to work with different providers:

Provider Selection

  • Choose any provider supported by Instructor

  • Configure provider-specific settings

  • Handle rate limits and quotas

  • Implement fallback strategies

Local Development

  • Use Ollama for local testing

  • Mock responses for development

  • Debug provider interactions

  • Test provider switching

Production Deployment

  • Load balancing between providers

  • Failover configurations

  • Cost optimization strategies

  • Performance monitoring

Custom Provider Integration

  • Extend Instructor for new providers

  • Implement custom client wrappers

  • Add provider-specific features

  • Handle unique response formats

Best Practices

Error Handling

  • Implement proper exception handling

  • Add retry mechanisms

  • Log provider errors

  • Handle rate limits gracefully

Performance Optimization

  • Use streaming for long responses

  • Implement caching strategies

  • Optimize prompt lengths

  • Batch operations when possible

Security

  • Secure API key management

  • Input validation and sanitization

  • Output filtering

  • Rate limiting and quotas

Getting Help

If you need help, you can:

  1. Check our GitHub Issues

  2. Join our Reddit community

  3. Read through our examples in the repository

  4. Review the example projects in atomic-examples/

See also: