Fiddler LangGraph SDK Advanced Tutorial

What You'll Learn

This interactive notebook demonstrates advanced monitoring patterns for production LangGraph applications through a realistic travel planning system with multiple specialized agents.

Key Topics Covered:

• Multi-agent workflow monitoring and orchestration

• Conversation tracking across complex interactions

• Production configuration for high-volume scenarios

• Advanced error handling and recovery patterns

• Business intelligence integration and analytics

Interactive Tutorial

The notebook walks through building a comprehensive travel planning application featuring hotel search, weather analysis, itinerary planning, and supervisor agents working together.

Open the Advanced Observability Notebook in Google Colab →

Or download the notebook directly from GitHub →

Prerequisites

• Fiddler account with API credentials

• OpenAI API key for example interactions

• Basic familiarity with LangGraph concepts

Time Required

• Complete tutorial: 45-60 minutes

• Quick overview: 15-20 minutes

Who Should Use This

• AI engineers building production LangGraph applications

• DevOps teams monitoring agentic systems

• Technical leaders evaluating observability strategies

Next Steps

After completing the tutorial:

• Technical Reference: Fiddler LangGraph SDK Documentation

• Support: Contact [email protected] for implementation assistance

• Production Deployment: Adapt the demonstrated patterns for your specific use case

---

❓ Questions? Talk to a product expert or request a demo.

💡 Need help? Contact us at [email protected].