How to Deploy a LangGraph Agent on AWS Bedrock AgentCore
The article provides a guide on deploying a LangGraph agent using AWS Bedrock AgentCore. It outlines the necessary prerequisites and steps to set up, test, and deploy the agent in a serverless environment. The process involves using the AgentCore CLI and making minimal changes to the existing agent code.
- ▪AWS Bedrock AgentCore is a serverless hosting platform for deploying AI agents.
- ▪The deployment process is managed through the AgentCore CLI, which simplifies project creation and deployment to AWS.
- ▪Users need to have specific software and dependencies installed, including Python and Node.js, to successfully deploy their LangGraph agents.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3940071) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Fazalul Haque Posted on May 25 • Originally published at Medium How to Deploy a LangGraph Agent on AWS Bedrock AgentCore #agents #aws #serverless #tutorial You’ve built a LangGraph agent that works fine on your laptop. The next challenge is getting it running in a scalable, serverless production infrastructure without having to redesign the whole thing. That’s where AWS Bedrock AgentCore comes in.
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