Update agents to latest API

Author: DanWahlin

samples/microsoft/javascript/mslearn-resources/quickstart/package-lock.json

@@ -18,8 +18,8 @@
     "start": "node src/quickstart.js"
   },
   "dependencies": {
-    "@azure/ai-agents": "^1.0.0-alpha.20250505.3",
-    "@azure/ai-projects": "^1.0.0-alpha.20250505.4",
+    "@azure/ai-projects": "1.0.0-alpha.20250512.4",
+    "@azure/ai-agents": "1.0.0-alpha.20250514.1",
     "@azure/identity": "^4.9.1",
     "@azure/opentelemetry-instrumentation-azure-sdk": "^1.0.0-beta.8",
     "dotenv": "^16.5.0"

samples/microsoft/javascript/mslearn-resources/quickstart/package.json

@@ -2,8 +2,8 @@ import fs from 'fs';
 import path from 'path';
 import { fileURLToPath } from 'url';
 import { DefaultAzureCredential } from '@azure/identity';
+import { ToolUtility, DoneEvent, ErrorEvent, RunStreamEvent, MessageStreamEvent } from '@azure/ai-agents';
 import { AIProjectClient } from '@azure/ai-projects';
-import { AgentsClient, ToolUtility, DoneEvent, ErrorEvent, RunStreamEvent, MessageStreamEvent } from '@azure/ai-agents';
 import { config } from 'dotenv';
 config();
 
@@ -36,46 +36,52 @@ async function chatCompletion() {
 async function runAgents() {
     // <create_and_run_agent>
 
-    // Create an Azure AI Client
+    // Create an Azure AI Foundry Client
     const endpoint = process.env.PROJECT_ENDPOINT;
     const deployment = process.env.MODEL_DEPLOYMENT_NAME || 'gpt-4o';
-    const client = new AgentsClient(endpoint, new DefaultAzureCredential());
+    const client = new AIProjectClient(endpoint, new DefaultAzureCredential());
 
     // Create an Agent
-    const agent = await client.createAgent(deployment, {
+    const agent = await client.agents.createAgent(deployment, {
         name: 'my-agent',
-        instructions: 'You are a helpful agent',
+        instructions: 'You are a helpful agent'
     });
     console.log(`\n==================== 🕵️  POEM AGENT ====================`);
 
     // Create a thread and message
-    const thread = await client.createThread();
+    const thread = await client.agents.threads.create();
     const prompt = 'Write me a poem about flowers';
     console.log(`\n---------------- 📝 User Prompt ---------------- \n${prompt}`);
-    await client.createMessage(thread.id, 'user', prompt);
+    await client.agents.messages.create(thread.id, 'user', prompt);
 
     // Create run
-    let run = await client.createRun(thread.id, agent.id);
+    let run = await client.agents.runs.create(thread.id, agent.id);
 
     // Wait for run to complete
     console.log(`\n---------------- 🚦 Run Status ----------------`);
     while (['queued', 'in_progress', 'requires_action'].includes(run.status)) {
         // Avoid adding a lot of messages to the console
         await new Promise((resolve) => setTimeout(resolve, 1000));
-        run = await client.getRun(thread.id, run.id);
+        run = await client.agents.runs.get(thread.id, run.id);
         console.log(`Run status: ${run.status}`);
     }
 
     console.log('\n---------------- 📊 Token Usage ----------------');
     console.table([run.usage]);
 
-    const messages = await client.listMessages(thread.id);
-    const assistantMessage = messages.data.find(m => m.role === 'assistant');
+    const messagesIterator = await client.agents.messages.list(thread.id);
+    let assistantMessage = null;
+    for await (const m of messagesIterator) {
+        if (m.role === 'assistant') {
+            assistantMessage = m;
+            break;
+        }
+    }
     console.log('\n---------------- 💬 Response ----------------');
     printAssistantMessage(assistantMessage);
 
     // Delete the Agent
-    await client.deleteAgent(agent.id);
+    await client.agents.deleteAgent(agent.id);
     console.log(`Deleted Agent, Agent ID: ${agent.id}`);
 
     // </create_and_run_agent>
@@ -86,11 +92,11 @@ async function runAgents() {
     console.log(`\n==================== 🕵️  FILE AGENT ====================`);
     const filePath = path.join(__dirname, '../../../../data/product_info_1.md');
     const fileStream = fs.createReadStream(filePath);
-    const file = await client.uploadFile(fileStream, 'assistants', {
+    const file = await client.agents.files.upload(fileStream, 'assistants', {
         fileName: 'product_info_1.md'
     });
     console.log(`Uploaded file, ID: ${file.id}`);
-    const vectorStore = await client.createVectorStore({
+    const vectorStore = await client.agents.vectorStores.create({
         fileIds: [file.id],
         name: 'my_vectorstore'
     });
@@ -105,21 +111,21 @@ async function runAgents() {
 
     // Create an Agent and a FileSearch tool
     const fileSearchTool = ToolUtility.createFileSearchTool([vectorStore.id]);
-    const fileAgent = await client.createAgent(deployment, {
+    const fileAgent = await client.agents.createAgent(deployment, {
         name: 'my-file-agent',
         instructions: 'You are a helpful assistant and can search information from uploaded files',
         tools: [fileSearchTool.definition],
         toolResources: fileSearchTool.resources,
     });
 
     // Create a thread and message
-    const fileSearchThread = await client.createThread({ toolResources: fileSearchTool.resources });
+    const fileSearchThread = await client.agents.threads.create({ toolResources: fileSearchTool.resources });
     const filePrompt = 'What are the steps to setup the TrailMaster X4 Tent?';
     console.log(`\n---------------- 📝 User Prompt ---------------- \n${filePrompt}`);
-    await client.createMessage(fileSearchThread.id, 'user', filePrompt);
+    await client.agents.messages.create(fileSearchThread.id, 'user', filePrompt);
 
     // Create run
-    let fileSearchRun = await client.createRun(fileSearchThread.id, fileAgent.id).stream();
+    let fileSearchRun = await client.agents.runs.create(fileSearchThread.id, fileAgent.id).stream();
 
     for await (const eventMessage of fileSearchRun) {
         switch (eventMessage.event) {
@@ -147,14 +153,20 @@ async function runAgents() {
         }
     }
 
-    const fileSearchMessages = await client.listMessages(fileSearchThread.id);
-    const fileAssistantMessage = fileSearchMessages.data.find(m => m.role === 'assistant');
+    const fileSearchMessagesIterator = await client.agents.messages.list(fileSearchThread.id);
+    let fileAssistantMessage = null;
+    for await (const m of fileSearchMessagesIterator) {
+        if (m.role === 'assistant') {
+            fileAssistantMessage = m;
+            break;
+        }
+    }
     console.log(`\n---------------- 💬 Response ---------------- \n`);
     printAssistantMessage(fileAssistantMessage);
 
-    client.deleteVectorStore(vectorStore.id);
-    client.deleteFile(file.id);
-    client.deleteAgent(fileAgent.id);
+    client.agents.vectorStores.delete(vectorStore.id);
+    client.agents.files.delete(file.id);
+    client.agents.deleteAgent(fileAgent.id);
     console.log(`\n🧹 Deleted VectorStore, File, and FileAgent. FileAgent ID: ${fileAgent.id}`);
 
     // </create_filesearch_agent>