Deploy CLI: The Easiest Way to Deploy Agents from Your Terminal

Learn how to go from zero to a production-ready AI agent using langgraph deploy, all from your terminal. In this tutorial, we walk through the full CLI workflow: scaffolding a new agent with langgraph new, testing locally in LangSmith Studio with langgraph dev, and deploying to production with langgraph deploy. Plus, how to manage your deployments with logs, list, and delete.

🛠 Scaffold a new agent project from a template with langgraph new

🧪 Test locally in LangSmith Studio with langgraph dev

🚀 Deploy to production with a single command: langgraph deploy

📋 Manage deployments: tail logs, list active deployments, and clean up with langgraph deploy logs, list, and delete

⏱︎ Timestamps:

0:00 — Intro to Deploy CLI

0:21  — Scaffolding a new project with the CLI

1:26 — Testing locally in Studio

3:50 — Deploying from the CLI

6:11 — Managing deployments (logs, list, delete)

7:40 — Outro

🔗 Links:

Sign up for LangSmith: https://smith.langchain.com

LangGraph CLI docs: https://docs.langchain.com/langsmith/cli

LangSmith Deployment docs: https://docs.langchain.com/langsmith/deployments

LangChain Forum: https://forum.langchain.com/

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