chore: import upstream snapshot with attribution

06-text-generation-apps/js-githubmodels/app.js

@@ -0,0 +1,90 @@
+import ModelClient from "@azure-rest/ai-inference";
+import { AzureKeyCredential } from "@azure/core-auth";
+
+// SECURITY: Validate required environment variables
+// Get these from your Microsoft Foundry project's "Overview" page
+// (GitHub Models is retiring end of July 2026 - see https://ai.azure.com/catalog/models)
+const token = process.env["AZURE_INFERENCE_CREDENTIAL"];
+if (!token) {
+    throw new Error("AZURE_INFERENCE_CREDENTIAL environment variable is required. Please set it before running this application.");
+}
+
+const endpoint = process.env["AZURE_INFERENCE_ENDPOINT"];
+if (!endpoint) {
+    throw new Error("AZURE_INFERENCE_ENDPOINT environment variable is required. Please set it before running this application.");
+}
+const modelName = "gpt-4o-mini";
+
+export async function main() {
+
+    console.log("== Recipe Recommendation App ==");
+
+    console.log("Number of recipes: (for example: 5): ");
+    const numRecipes = "3";
+
+    console.log("List of ingredients: (for example: chicken, potatoes, and carrots): ");
+    const ingredients = "chocolate";
+    
+    console.log("Filter (for example: vegetarian, vegan, or gluten-free): ");
+    const filter = "peanuts";
+
+    const promptText = `Show me ${numRecipes} recipes for a dish with the following ingredients: ${ingredients}. Per recipe, list all the ingredients used, no ${filter}: `;
+
+
+    const client = new ModelClient(endpoint, new AzureKeyCredential(token));
+
+    const response = await client.path("/chat/completions").post({
+        body: {
+            messages: [
+                { role: "system", content: "You are a helpful assistant." },
+                { role: "user", content: promptText }
+            ],
+            model: modelName,
+            temperature: 1.0,
+            max_tokens: 1000,
+            top_p: 1.0
+        }
+    });
+
+try { 
+
+
+    if (response.status !== "200") {
+        throw response.body.error;
+    }
+    console.log(response.body.choices[0].message.content);
+
+
+const oldPromptResult = response.body.choices[0].message.content;
+
+const promptShoppingList = 'Produce a shopping list, and please do not include the following ingredients that I already have at home: ';
+
+const newPrompt = `Given ingredients at home: ${ingredients} and these generated recipes: ${oldPromptResult}, ${promptShoppingList}`;
+
+const shoppingListMessage = 
+    await client.path("/chat/completions").post({
+    body: {
+        messages: [
+    {
+        role: 'system',
+        content: 'Here is your shopping list:'
+    },
+    {
+        role: 'user',
+        content: newPrompt
+    },
+],
+    model: modelName,
+}
+
+    })
+
+} catch (error) {
+    console.log('The sample encountered an error: ', error);
+}
+}
+
+
+main().catch((err) => {
+    console.error("The sample encountered an error:", err);
+});