Change agents to new JS API

samples/microsoft/javascript/mslearn-resources/quickstart/.env.template

@@ -1,3 +1,2 @@
 MODEL_DEPLOYMENT_NAME=gpt-4o
-PROJECT_ENDPOINT=https://<your-foundry-resource-name>.services.ai.azure.com/api/projects/<your-foundry-project-name>
-INFERENCE_ENDPOINT=https://<your-foundry-resource-name>.services.ai.azure.com/api/models
+PROJECT_ENDPOINT=https://<your-foundry-resource-name>.services.ai.azure.com/api/projects/<your-foundry-project-name>

samples/microsoft/javascript/mslearn-resources/quickstart/README.md

@@ -1,14 +1,21 @@
 # JavaScript QuickStart
 
-## Rename env.template to .env
+## Set up your environment
 
-Rename `env.template` to `.env` and fill in the endpoint values based on your AI Foundry project.
+1. [Install Node.js (LTS is recommended) and the Azure CLI](https://learn.microsoft.com/en-us/azure/ai-foundry/how-to/develop/install-cli-sdk).
 
-## Install dependencies
+1. Make sure to sign in using the CLI az login (or az login --use-device-code) command to authenticate before running your JavaScript scripts.
 
- - Install the [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli)
- - az login
- - npm install
+1. Download [`env.template`](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/javascript/mslearn-resources/quickstart/env.template) and rename it to `.env`. Place it in the root of your project directory.
+1. Open the `.env` file and fill in the following variables based upon your AI Foundry resource and project names:
+
+   - `MODEL_DEPLOYMENT_NAME`: Your deployed Azure OpenAI model. Defaults to `gpt-4o`.
+   - `PROJECT_ENDPOINT`: The endpoint for your AI Foundry project. 
+   - `INFERENCE_ENDPOINT`: The inference endpoint for your Azure OpenAI resource.
+
+1. Download [`package.json`](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/javascript/mslearn-resources/quickstart/package.json).
+
+1. Install packages with `npm install`.
 
 ## Run a chat completion and agent