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Welcome to Shannon Tutorials

Learn how to build powerful AI agent applications with Shannon through practical, hands-on tutorials. Each tutorial includes complete working code, step-by-step instructions, and best practices.
This section is actively being developed. New tutorials are added regularly based on community feedback and common use cases.

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Available Tutorials

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Building Agents

Research Assistant

Build a multi-source research agent that searches, analyzes, and summarizes information
Status: 🚧 Coming Soon - Phase 4

Code Review Bot

Create an automated code reviewer that analyzes PRs and provides feedback
Status: 🚧 Coming Soon - Phase 4

Data Analysis Pipeline

Build a data analyst agent that queries databases and generates visualizations
Status: 🚧 Coming Soon - Phase 4

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Extension & Integration

Adding Custom Tools

Complete guide to extending Shannon with MCP, OpenAPI, and built-in Python tools
Status: ✅ Available

Vendor Adapters

Build vendor-specific integrations with the adapter pattern for domain-specific APIs
Status: ✅ Available

Extending Shannon

Explore all extension methods: templates, tools, vendor adapters, and custom decomposition
Status: ✅ Available

Multi-Agent Systems

Implement multi-agent collaboration patterns including debate and consensus
Status: 🚧 Coming Soon - Phase 4

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What You’ll Learn

Across these tutorials, you’ll learn:
  • Agent Design: How to structure agent tasks and workflows
  • Tool Integration: Connecting agents to external APIs and services
  • Session Management: Building stateful, multi-turn conversations
  • Error Handling: Robust patterns for production agents
  • Cost Optimization: Budget management and token efficiency
  • Monitoring: Tracking agent performance and behavior

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Prerequisites

Before starting these tutorials, make sure you have:
  1. Shannon Installed: Follow the Installation Guide
  2. Basic Python Knowledge: Familiarity with Python 3.9+
  3. API Keys: At least one LLM provider API key (OpenAI, Anthropic, etc.)
  4. Docker: For running Shannon services locally

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Tutorial Structure

Each tutorial follows a consistent structure:
  1. Overview: What you’ll build and why
  2. Prerequisites: Required setup and dependencies
  3. Step-by-Step: Detailed implementation guide
  4. Code Examples: Complete working code you can run
  5. Testing: How to verify your implementation
  6. Next Steps: Ideas for extending the tutorial

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Contributing Tutorials

Have an idea for a tutorial? We welcome community contributions!
  1. Check existing GitHub issues
  2. Propose new tutorials in GitHub Discussions
  3. Submit tutorial PRs following our contribution guidelines

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Get Help

If you get stuck on any tutorial:

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What’s Next?

Quick Start

New to Shannon? Start here

Core Concepts

Understand Shannon’s fundamentals

API Reference

Explore the REST API

Python SDK

Use the SDK in your applications