javascript

Using watsonx.ai Flows Engine with LangGraph JS

Here's a step-by-step tutorial for setting up and deploying a project with wxflows, including installing necessary tools, deploying the app, and running it locally.

This example consists of the following pieces:

• LangChain JS SDK (models)
• LangGraph JS SDK (agent)
• wxflows SDK (tools)

You can use any of the supported chat models.

This guide will walk you through installing the wxflows CLI, initializing and deploying a project, and running the application locally. We’ll use google_books and wikipedia tools as examples for tool calling with wxflows.

Step 1: Install wxflows CLI

Begin by installing the wxflows CLI tool. You can find installation instructions on the wxflows installation page:

• Download the CLI from https://wxflows.ibm.stepzen.com/docs/installation

• Create a new directory on your machine

• Run the following command in this directory:

  pip install wxflows_cli-1.0.0rc200-py3-none-any.whl --force-reinstall

  Make sure to use the name of the .whl file you downloaded.

  This will install the latest version of the CLI from the downloaded .whl file.

• After installing, make sure to login to the CLI.

Step 2: Deploy a Flows Engine project

There's already a wxflows.toml file in this repository that defines the following values:

• Defines an endpoint api/examples-langgraph for the project.
• Imports google_books tool with a description for searching books and specifying fields books|book.
• Imports wikipedia tool with a description for Wikipedia searches and specifying fields search|page.

You can deploy this tool configuration to a Flows Engine endpoint by running:

wxflows deploy

This command deploys the endpoint and tools defined, these will be used by the wxflows SDK in your application.

Step 3: Set Up Environment Variables

From the project’s root directory copy the sample environment file to create your .env file:

cp .env.sample .env

Edit the .env file and add your credentials, such as API keys and other required environment variables. Ensure the credentials are correct to allow the tools to authenticate and interact with external services.

Step 4: Install Dependencies in the Application

To run the application you need to install the necessary dependencies:

npm i

This command installs all required packages, including the @wxflows/sdk package and any dependencies specified in the project.

Step 5: Set Up Environment Variables

Copy the sample environment file to create your .env file:

cp .env.sample .env

Edit the .env file and add your credentials, such as API keys and other required environment variables. Ensure the credentials are correct to allow the tools to authenticate and interact with external services.

Step 6: Run the Application

Finally, start the application by running:

npm start

This command initiates your application, allowing you to call and test the google_books and wikipedia tools through wxflows.

Summary

You’ve now successfully set up, deployed, and run a wxflows project with google_books and wikipedia tools. This setup provides a flexible environment to leverage external tools for data retrieval, allowing you to further build and expand your app with wxflows. See the instructions in tools to add more tools or create your own tools from Databases, NoSQL, REST or GraphQL APIs.

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