For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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DocsGuidesSDKsIntegrationsAPI docsTutorialsFlagship blog
  • Tutorials
    • The human-in-the-loop alternative to autonomous remediation
    • The AI Iteration Loop for Deploying Reliable Agents with LangGraph
    • Using LaunchDarkly feature flags and Experimentation with Wordpress
    • Migrate a Hardcoded LangGraph Agent to LaunchDarkly AgentControl in 20 Minutes
    • Offline Evaluation of RAG-Grounded Answers in AgentControl
    • Beyond n8n for Workflow Automation: Agent Graphs as Your Universal Agent Harness
    • Catch your first silent AI failure with Vega AI in under 10 minutes
    • Evaluate LLM code generation with LLM-as-judge evaluators
    • OpenTelemetry for LLM Applications: A Practical Guide with LaunchDarkly and Langfuse
    • Use LaunchDarkly Agent Skills in Claude Code and Cursor
    • Detection to Resolution: Real World Debugging with Rage Clicks and Session Replay
    • Compare AI orchestrators: LangGraph vs Strands vs OpenAI Swarm
    • Building a data extraction pipeline with LaunchDarkly
    • Day 12 | 🎊 New Year, New Observability
    • Day 11 | ✉️ Letters to Santa: What engineering teams really want from Observability in 2026
    • Day 10 | Why observability and feature flags go together like milk and cookies
    • Day 9 | 👻 The Three Ghosts Haunting Your AI This Holiday Season
    • Day 7 | 🎄✨The Rockefeller tree in NYC: SLOs that actually drive decisions
    • Day 6 | 💸 The famous green character that stole your cloud budget: the cardinality problem
    • Day 5 | 🧹 Using a Popular Tidying Method to Consolidate Your Observability Stack
    • Day 4 | ❄️ Tracing the impact of holiday styling in your Node.js app
    • Day 8 | 🎁 Observable Multi-Modal Agentic Systems
    • Day 3 | 🔔 Jingle All the Way to Zero-Config Observability
    • Day 2 | 🎅 He knows if you have been bad or good... But what if he gets it wrong?
    • Collecting user feedback in your app with feature flags
    • Day 1 | 🎄 Observability Under the Tree: What Changed in 2025
    • Build a User Frustration Detection & Response System
    • When to Add Online Evals to Your AgentControl
    • Detecting User Frustration: Understanding Rage Clicks and Session Replay
    • AgentControl config CI/CD Pipeline: Automated Quality Gates and Safe Deployment
    • A Deeper Look at LaunchDarkly Architecture: More than Feature Flags
    • Add Observability to Your React Native App in 5 minutes
    • Smart AI Agent Targeting with MCP Tools
    • Build a LangGraph Multi-Agent System in 20 Minutes with LaunchDarkly AgentControl
    • Snowflake Cortex Completion API + LaunchDarkly SDK Integration
    • Using AgentControl to review database changes
    • How to implement WebSockets and kill switches in a Python application
    • 4 hacks to turbocharge your Cursor productivity
    • Create a feature flag in your IDE in 5 minutes with LaunchDarkly's MCP server
    • Observability for Your Go ORM: OpenTelemetry Integration with GORM
    • The complete guide to OpenTelemetry in Next.js
    • How to instrument your React Native app with OpenTelemetry
    • The complete guide to OpenTelemetry in Python
    • Monitoring Browser Applications with OpenTelemetry
    • How to Use OpenTelemetry to Monitor Next.js Applications
    • What is OpenTelemetry and Why Should I Care?
    • Distributed Tracing in Next.js Apps
    • Tracing Distributed Systems in Next.js
    • Real-time Monitoring in Django: Essential Tools and Techniques
    • DeepSeek vs Qwen: local model showdown featuring LaunchDarkly AgentControl
    • Application Tracing in .NET for Performance Monitoring
    • The Ultimate Guide to Ruby Logging: Best Libraries and Practices
    • Using Materialized Views in ClickHouse (vs. Postgres)
    • Filtering and Sampling LaunchDarkly Ingest
    • How to Set Up Your Production AWS MSK Kafka Cluster
    • Publishing an NPM Package with Private pnpm Monorepo Dependencies
    • How To Use The Chrome Inspector & Debugger
    • 3 Levels of Data Validation in a Full Stack Application With React
    • The power of the monorepo: Keep your fullstack app in sync!
    • Compression: The simple, powerful upgrade for your web stack
    • Video tutorials
      • Agent Graphs: Taming Multi-Agent Architecture
      • Build a multi-agent system with LaunchDarkly Agent Skills
      • Introducing Judges: Enhancing AI Response Quality Monitoring
      • Day 12 | 🎊 New Year, New Observability
      • Day 10 | Why observability and feature flags go together like milk and cookies
      • Day 9 | 👻 The Three Ghosts Haunting Your AI This Holiday Season
      • Day 5 | 🧹 Using a Popular Tidying Method to Consolidate Your Observability Stack
      • How to target users in production without redeploying code
      • How to run safe migrations using feature flags
      • How to vibe code safely using LaunchDarkly feature flags
      • How to set up a kill switch for any feature in production
      • How to roll out a feature to 1% of users and then scale safely
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  • Agent Graphs: Taming Multi-Agent Architecture
  • What you’ll learn
  • Next steps
TutorialsVideo tutorials

Agent Graphs: Taming Multi-Agent Architecture with LaunchDarkly

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Published April 1, 2026

Portrait of Scarlett Attensil.

by Scarlett Attensil

Wrestling unruly AI agents? This tutorial shows you how to set up a real-world agent workflow using AgentControl configs. You’ll learn battle-tested patterns for taming multi-agent architecture.

AI Configs are called AgentControl configs

LaunchDarkly AI Configs have been rebranded as AgentControl and AgentControl configs. Some references in this topic may be outdated.

Agent Graphs: Taming Multi-Agent Architecture

What you’ll learn

  • Swapping models on the fly without redeploying
  • Real-time monitoring of your agent workflows
  • Integrating with frameworks like LangGraph and Strands
  • Building maintainable multi-agent systems

Next steps

For the full written tutorial with code examples, read Beyond n8n for Workflow Automation: Agent Graphs as Your Universal Agent Harness.

Check out the code repo on GitHub to follow along.