Update Node starter to LiveKit Agents 1.5

package.json

@@ -30,9 +30,10 @@
     "vitest": "^4.1.4"
   },
   "dependencies": {
-    "@livekit/agents": "^1.4.7",
+    "@livekit/agents": "^1.5.0",
     "@livekit/plugins-ai-coustics": "^0.2.14",
+    "@livekit/rtc-node": "^0.13.31",
     "dotenv": "^17.4.1",
-    "zod": "^3.25.76"
+    "zod": "^4.4.3"
   }
 }

src/agent.test.ts

@@ -1,7 +1,7 @@
 import { dedent, inference, initializeLogger, voice } from '@livekit/agents';
 import dotenv from 'dotenv';
 import { afterEach, beforeEach, describe, it } from 'vitest';
-import { Agent } from './agent.ts';
+import { createAgent } from './agent.ts';
 
 dotenv.config({ path: '.env.local' });
 
@@ -16,7 +16,7 @@ describe('agent evaluation', () => {
   beforeEach(async () => {
     judgeLlm = new inference.LLM({ model: 'openai/gpt-4.1-mini' });
     session = new voice.AgentSession();
-    await session.start({ agent: new Agent() });
+    await session.start({ agent: createAgent() });
   });
 
   afterEach(async () => {

src/agent.ts

@@ -1,10 +1,9 @@
-import { dedent, inference, voice } from '@livekit/agents';
+import { Agent, dedent, inference } from '@livekit/agents';
 
-// Define a custom voice AI assistant by extending the base Agent class
-export class Agent extends voice.Agent {
-  constructor() {
-    super({
-      instructions: dedent`
+// Build a custom voice AI assistant with the functional `Agent.create` API
+export function createAgent() {
+  return Agent.create({
+    instructions: dedent`
         You are a friendly, reliable voice assistant that answers questions, explains topics, and completes tasks with available tools.
 
         # Output rules
@@ -38,42 +37,42 @@ export class Agent extends voice.Agent {
         - Protect privacy and minimize sensitive data.
       `,
 
-      // A Large Language Model (LLM) is your agent's brain, processing user input and generating a response
-      // See all available models at https://docs.livekit.io/agents/models/llm/
-      llm: new inference.LLM({ model: 'google/gemma-4-31b-it' }),
+    // A Large Language Model (LLM) is your agent's brain, processing user input and generating a response
+    // See all available models at https://docs.livekit.io/agents/models/llm/
+    llm: new inference.LLM({ model: 'google/gemma-4-31b-it' }),
 
-      // To use a realtime model instead of a voice pipeline, replace the LLM
-      // with a RealtimeModel and remove the STT/TTS from the AgentSession
-      // (Note: This is for the OpenAI Realtime API. For other providers, see https://docs.livekit.io/agents/models/realtime/)
-      // 1. Install '@livekit/agents-plugin-openai'
-      // 2. Set OPENAI_API_KEY in .env.local
-      // 3. Add `import * as openai from '@livekit/agents-plugin-openai'` to the top of this file
-      // 4. Replace the llm option with:
-      //    llm: new openai.realtime.RealtimeModel({ voice: 'marin' }),
+    // To use a realtime model instead of a voice pipeline, replace the LLM
+    // with a RealtimeModel and remove the STT/TTS from the AgentSession
+    // (Note: This is for the OpenAI Realtime API. For other providers, see https://docs.livekit.io/agents/models/realtime/)
+    // 1. Install '@livekit/agents-plugin-openai'
+    // 2. Set OPENAI_API_KEY in .env.local
+    // 3. Add `import * as openai from '@livekit/agents-plugin-openai'` to the top of this file
+    // 4. Replace the llm option with:
+    //    llm: new openai.realtime.RealtimeModel({ voice: 'marin' }),
 
-      // To add tools, specify `tools` in the constructor.
-      // Here's an example that adds a simple weather tool.
-      // You also have to add `import { llm } from '@livekit/agents' and `import { z } from 'zod'` to the top of this file
-      // tools: {
-      //   getWeather: llm.tool({
-      //     description: dedent`
-      //       Use this tool to look up current weather information in the given location.
-      //
-      //       If the location is not supported by the weather service, the tool will indicate this.
-      //       You must tell the user the location's weather is unavailable.
-      //     `,
-      //     parameters: z.object({
-      //       location: z
-      //         .string()
-      //         .describe('The location to look up weather information for (e.g. city name)'),
-      //     }),
-      //     execute: async ({ location }) => {
-      //       console.log(`Looking up weather for ${location}`);
-      //
-      //       return 'sunny with a temperature of 70 degrees.';
-      //     },
-      //   }),
-      // },
-    });
-  }
+    // To add tools, specify `tools` in the constructor.
+    // Here's an example that adds a simple weather tool.
+    // You also have to add `import { tool } from '@livekit/agents'` and `import { z } from 'zod'` to the top of this file
+    // tools: [
+    //   tool({
+    //     name: 'getWeather',
+    //     description: dedent`
+    //       Use this tool to look up current weather information in the given location.
+    //
+    //       If the location is not supported by the weather service, the tool will indicate this.
+    //       You must tell the user the location's weather is unavailable.
+    //     `,
+    //     parameters: z.object({
+    //       location: z
+    //         .string()
+    //         .describe('The location to look up weather information for (e.g. city name)'),
+    //     }),
+    //     execute: async ({ location }) => {
+    //       console.log(`Looking up weather for ${location}`);
+    //
+    //       return 'sunny with a temperature of 70 degrees.';
+    //     },
+    //   }),
+    // ],
+  });
 }

src/main.ts

@@ -2,7 +2,7 @@ import { ServerOptions, cli, defineAgent, inference, voice } from '@livekit/agen
 import { audioEnhancement } from '@livekit/plugins-ai-coustics';
 import dotenv from 'dotenv';
 import { fileURLToPath } from 'node:url';
-import { Agent } from './agent.ts';
+import { createAgent } from './agent.ts';
 
 // Load environment variables from a local file.
 // Make sure to set LIVEKIT_URL, LIVEKIT_API_KEY, and LIVEKIT_API_SECRET
@@ -41,7 +41,7 @@ export default defineAgent({
 
     // Start the session, which initializes the voice pipeline and warms up the models
     await session.start({
-      agent: new Agent(),
+      agent: createAgent(),
       room: ctx.room,
       inputOptions: {
         // ai-coustics QUAIL audio enhancement for noise cancellation