Agentic LangGraph

This sample demonstrates a LangGraph Agent application deployed with Defang. You can customize the agent's tools as needed. For example, it includes a Tavily Search tool for performing search queries, which requires a TAVILY_API_KEY (see Configuration for setup details).

Prerequisites

1. Download Defang CLI
2. (Optional) If you are using Defang BYOC authenticate with your cloud provider account
3. (Optional for local development) Docker CLI

Development

To run the application locally, you can use the following command:

docker compose -f compose.dev.yaml up --build

Configuration

For this sample, you will need to provide the following configuration:

Note that if you are using the 1-click deploy option, you can set these values as secrets in your GitHub repository and the action will automatically deploy them for you.

TAVILY_API_KEY

A Tavily API key for accessing Tavily Search.

defang config set TAVILY_API_KEY

Deployment

Note

Download Defang CLI

Defang Playground

Deploy your application to the Defang Playground by opening up your terminal and typing:

defang compose up

BYOC

If you want to deploy to your own cloud account, you can use Defang BYOC.

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Title: Agentic LangGraph

Short Description: A LangGraph Agent application that can use tools, deployed with Defang.

Tags: Agent, LangGraph, LangChain, AI, OpenAI, Tavily

Languages: TypeScript