Can your AI Platform do this? LangGraph + Dapr: The Combo That Survives Production

About this webinar

Your LangGraph agent demo worked beautifully. Then production reality hit.

This webinar covers what happens when LangGraph agents are deployed to production and how LangGraph + Dapr workflows help teams turn agent workflows into systems that can actually survive the real world. Prototypes with LangGraph are easy. Deploying to production is where things break. That is where you need an AI agent platform.

The session walks through what happens when LangGraph agents fail, why restarting is not enough, and how failure detection and recovery need to work so agents can recover and run to completion. It also shows 100 LangGraph agents running under chaos conditions with guaranteed completion using workflows, and how durable workflows are applied to an agent framework. You can try this yourself with the Agent Quickstart.

The session also covers observability and monitoring for your agents with Diagrid Catalyst AI agent platform.

Inside the session

• What happens when LangGraph agents fail
• Why restarting is not enough and how failure detection should be transparent
• Running 100 LangGraph agents under chaos conditions and guaranteeing completion for all of them with workflows
• Applying durable workflows to an agent framework
• Observability and monitoring for your agents with Diagrid Catalyst AI agent platform

Who this is for

• Developers building AI agents and workflow-driven applications with LangGraph
• Platform engineers responsible for production reliability and scale
• DevOps and SRE teams supporting agent systems in production
• Engineering leaders evaluating how to operationalize AI workflows