Installing langchain.js in vs code

 Installing LangChain.js in VS Code involves setting up a Node.js project and using

or to add the necessary packages. The process is the same as installing any other JavaScript library.

Prerequisites

Before you begin, ensure you have the following installed on your system:

• Node.js: LangChain.js runs on Node.js, and it includes the (Node Package Manager) command-line tool.
• VS Code: Your preferred code editor. [3]

Step-by-Step Installation

1. Open VS Code and create a new project folder.
2. Open the integrated terminal in VS Code (Terminal > New Terminal or ++).
3. Initialize a new Node.js project by running this command in the terminal. This creates a file:
4. Install the main LangChain.js package using (or or ):

              $ npm install langchain

1. Alternatively, use : 

            $ yarn add langchain

1. Install specific integrations as needed. LangChain uses a modular design, so install packages for the specific Large Language Models (LLMs) or tools planned to be used:

• For OpenAI models:

          $ npm install @langchain/openai

• For Google Gemini models:

           $ npm install @langchain/google-genai

• For managing API keys securely using environment variables, install :

         $ npm install dotenv

 

1. Configure the project for ES Modules (ESM) by adding to the file. This allows the use of statements: [1, 2, 4, 5, 6]

"type": "module",

Example Usage (TypeScript recommended)

For the best development experience with LangChain.js, using TypeScript is recommended.

1. Install TypeScript and Node.js type definitions:
2. Create a file in the project root:
3. Create a source file in a new directory, for example, .
4. Add sample code to the file and run it using . [3, 8, 9, 10, 11]

Once these steps are completed, the VS Code environment is set up and ready for LangChain.js development.

  

Now, do 'add, commit and push' git bash ops to push this change to your remote github repo:

$ git add .

    $ git commit -m "coment" 

finally, 

$ git push -u origin main

Now see the new updates actually happened in your github repo

AI responses may include mistakes.

[1] https://langchainers.hashnode.dev/langchainjs-tutorial-setup

[2] https://www.linkedin.com/pulse/langchainjs-comprehensive-guide-aadil-hussain-qbdyc

[3] https://langchainers.hashnode.dev/getting-started-with-langchainjs

[4] https://www.js-craft.io/blog/langchain-js-node-openai-setup-scratch/

[5] https://docs.langchain.com/oss/javascript/langchain/quickstart

[6] https://latenode.com/blog/ai-frameworks-technical-infrastructure/langchain-setup-tools-agents-memory/how-to-install-langchain-complete-python-setup-guide-troubleshooting-2025

[7] https://github.com/langchain-ai/langchainjs/issues/4073

[8] https://medium.com/@ashithvl/langchain-js-for-javascript-developers-the-ultimate-guide-dbdf3ff8c1d0

[9] https://mcomella.com/blog/2024/vscode-debugger-tsjasminenode.html

[10] http://www.cross-platform-blog.com/tools/nodejs/typescript/visual-studio-code-nodejs-with-typescript-and-debugging/

[11] https://www.meziantou.net/starting-a-typescript-project-with-visual-studio-code.htm