[Azure] Support Realtime API

openai · Jan 24, 2025 · e90657b · e90657b
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diff --git a/README.md b/README.md
@@ -499,7 +499,7 @@ const credential = new DefaultAzureCredential();
 const scope = 'https://cognitiveservices.azure.com/.default';
 const azureADTokenProvider = getBearerTokenProvider(credential, scope);
 
-const openai = new AzureOpenAI({ azureADTokenProvider });
+const openai = new AzureOpenAI({ azureADTokenProvider, apiVersion: "<The API version, e.g. 2024-10-01-preview>" });
 
 const result = await openai.chat.completions.create({
   model: 'gpt-4o',
@@ -509,6 +509,26 @@ const result = await openai.chat.completions.create({
 console.log(result.choices[0]!.message?.content);
 ```
 
+### Realtime API
+This SDK provides real-time streaming capabilities for Azure OpenAI through the `OpenAIRealtimeWS` and `OpenAIRealtimeWebSocket` clients described previously.
+
+To utilize the real-time features, begin by creating a fully configured `AzureOpenAI` client and passing it into either `OpenAIRealtimeWS.azure` or `OpenAIRealtimeWebSocket.azure`. For example:
+
+```ts
+const cred = new DefaultAzureCredential();
+const scope = 'https://cognitiveservices.azure.com/.default';
+const deploymentName = 'gpt-4o-realtime-preview-1001';
+const azureADTokenProvider = getBearerTokenProvider(cred, scope);
+const client = new AzureOpenAI({
+  azureADTokenProvider,
+  apiVersion: '2024-10-01-preview',
+  deployment: deploymentName,
+});
+const rt = await OpenAIRealtimeWS.azure(client);
+```
+
+Once the instance has been created, you can then begin sending requests and receiving streaming responses in real time.
+
 ### Retries
 
 Certain errors will be automatically retried 2 times by default, with a short exponential backoff.

diff --git a/examples/azure.ts → examples/azure/chat.ts b/examples/azure.ts → examples/azure/chat.ts
@@ -2,6 +2,7 @@
 
 import { AzureOpenAI } from 'openai';
 import { getBearerTokenProvider, DefaultAzureCredential } from '@azure/identity';
+import 'dotenv/config';
 
 // Corresponds to your Model deployment within your OpenAI resource, e.g. gpt-4-1106-preview
 // Navigate to the Azure OpenAI Studio to deploy a model.
@@ -13,7 +14,7 @@ const azureADTokenProvider = getBearerTokenProvider(credential, scope);
 
 // Make sure to set AZURE_OPENAI_ENDPOINT with the endpoint of your Azure resource.
 // You can find it in the Azure Portal.
-const openai = new AzureOpenAI({ azureADTokenProvider });
+const openai = new AzureOpenAI({ azureADTokenProvider, apiVersion: '2024-10-01-preview' });
 
 async function main() {
   console.log('Non-streaming:');

diff --git a/examples/azure/realtime/websocket.ts b/examples/azure/realtime/websocket.ts
@@ -0,0 +1,60 @@
+import { OpenAIRealtimeWebSocket } from 'openai/beta/realtime/websocket';
+import { AzureOpenAI } from 'openai';
+import { DefaultAzureCredential, getBearerTokenProvider } from '@azure/identity';
+import 'dotenv/config';
+
+async function main() {
+  const cred = new DefaultAzureCredential();
+  const scope = 'https://cognitiveservices.azure.com/.default';
+  const deploymentName = 'gpt-4o-realtime-preview-1001';
+  const azureADTokenProvider = getBearerTokenProvider(cred, scope);
+  const client = new AzureOpenAI({
+    azureADTokenProvider,
+    apiVersion: '2024-10-01-preview',
+    deployment: deploymentName,
+  });
+  const rt = await OpenAIRealtimeWebSocket.azure(client);
+
+  // access the underlying `ws.WebSocket` instance
+  rt.socket.addEventListener('open', () => {
+    console.log('Connection opened!');
+    rt.send({
+      type: 'session.update',
+      session: {
+        modalities: ['text'],
+        model: 'gpt-4o-realtime-preview',
+      },
+    });
+
+    rt.send({
+      type: 'conversation.item.create',
+      item: {
+        type: 'message',
+        role: 'user',
+        content: [{ type: 'input_text', text: 'Say a couple paragraphs!' }],
+      },
+    });
+
+    rt.send({ type: 'response.create' });
+  });
+
+  rt.on('error', (err) => {
+    // in a real world scenario this should be logged somewhere as you
+    // likely want to continue procesing events regardless of any errors
+    throw err;
+  });
+
+  rt.on('session.created', (event) => {
+    console.log('session created!', event.session);
+    console.log();
+  });
+
+  rt.on('response.text.delta', (event) => process.stdout.write(event.delta));
+  rt.on('response.text.done', () => console.log());
+
+  rt.on('response.done', () => rt.close());
+
+  rt.socket.addEventListener('close', () => console.log('\nConnection closed!'));
+}
+
+main();
diff --git a/examples/azure/realtime/ws.ts b/examples/azure/realtime/ws.ts
@@ -0,0 +1,67 @@
+import { DefaultAzureCredential, getBearerTokenProvider } from '@azure/identity';
+import { OpenAIRealtimeWS } from 'openai/beta/realtime/ws';
+import { AzureOpenAI } from 'openai';
+import 'dotenv/config';
+
+async function main() {
+  const cred = new DefaultAzureCredential();
+  const scope = 'https://cognitiveservices.azure.com/.default';
+  const deploymentName = 'gpt-4o-realtime-preview-1001';
+  const azureADTokenProvider = getBearerTokenProvider(cred, scope);
+  const client = new AzureOpenAI({
+    azureADTokenProvider,
+    apiVersion: '2024-10-01-preview',
+    deployment: deploymentName,
+  });
+  const rt = await OpenAIRealtimeWS.azure(client);
+
+  // access the underlying `ws.WebSocket` instance
+  rt.socket.on('open', () => {
+    console.log('Connection opened!');
+    rt.send({
+      type: 'session.update',
+      session: {
+        modalities: ['text'],
+        model: 'gpt-4o-realtime-preview',
+      },
+    });
+    rt.send({
+      type: 'session.update',
+      session: {
+        modalities: ['text'],
+        model: 'gpt-4o-realtime-preview',
+      },
+    });
+
+    rt.send({
+      type: 'conversation.item.create',
+      item: {
+        type: 'message',
+        role: 'user',
+        content: [{ type: 'input_text', text: 'Say a couple paragraphs!' }],
+      },
+    });
+
+    rt.send({ type: 'response.create' });
+  });
+
+  rt.on('error', (err) => {
+    // in a real world scenario this should be logged somewhere as you
+    // likely want to continue procesing events regardless of any errors
+    throw err;
+  });
+
+  rt.on('session.created', (event) => {
+    console.log('session created!', event.session);
+    console.log();
+  });
+
+  rt.on('response.text.delta', (event) => process.stdout.write(event.delta));
+  rt.on('response.text.done', () => console.log());
+
+  rt.on('response.done', () => rt.close());
+
+  rt.socket.on('close', () => console.log('\nConnection closed!'));
+}
+
+main();
diff --git a/examples/package.json b/examples/package.json
@@ -7,6 +7,7 @@
   "private": true,
   "dependencies": {
     "@azure/identity": "^4.2.0",
+    "dotenv": "^16.4.7",
     "express": "^4.18.2",
     "next": "^14.1.1",
     "openai": "file:..",

diff --git a/examples/realtime/ws.ts b/examples/realtime/ws.ts
@@ -9,7 +9,7 @@ async function main() {
     rt.send({
       type: 'session.update',
       session: {
-        modalities: ['foo'] as any,
+        modalities: ['text'],
         model: 'gpt-4o-realtime-preview',
       },
     });

diff --git a/src/beta/realtime/internal-base.ts b/src/beta/realtime/internal-base.ts
@@ -1,6 +1,7 @@
 import { RealtimeClientEvent, RealtimeServerEvent, ErrorEvent } from '../../resources/beta/realtime/realtime';
 import { EventEmitter } from '../../lib/EventEmitter';
 import { OpenAIError } from '../../error';
+import OpenAI, { AzureOpenAI } from 'openai';
 
 export class OpenAIRealtimeError extends OpenAIError {
   /**
@@ -73,11 +74,20 @@ export abstract class OpenAIRealtimeEmitter extends EventEmitter<RealtimeEvents>
   }
 }
 
-export function buildRealtimeURL(props: { baseURL: string; model: string }): URL {
-  const path = '/realtime';
+export function isAzure(client: Pick<OpenAI, 'apiKey' | 'baseURL'>): client is AzureOpenAI {
+  return client instanceof AzureOpenAI;
+}
 
-  const url = new URL(props.baseURL + (props.baseURL.endsWith('/') ? path.slice(1) : path));
+export function buildRealtimeURL(client: Pick<OpenAI, 'apiKey' | 'baseURL'>, model: string): URL {
+  const path = '/realtime';
+  const baseURL = client.baseURL;
+  const url = new URL(baseURL + (baseURL.endsWith('/') ? path.slice(1) : path));
   url.protocol = 'wss';
-  url.searchParams.set('model', props.model);
+  if (isAzure(client)) {
+    url.searchParams.set('api-version', client.apiVersion);
+    url.searchParams.set('deployment', model);
+  } else {
+    url.searchParams.set('model', model);
+  }
   return url;
 }
diff --git a/src/beta/realtime/websocket.ts b/src/beta/realtime/websocket.ts
@@ -1,8 +1,8 @@
-import { OpenAI } from '../../index';
+import { AzureOpenAI, OpenAI } from '../../index';
 import { OpenAIError } from '../../error';
 import * as Core from '../../core';
 import type { RealtimeClientEvent, RealtimeServerEvent } from '../../resources/beta/realtime/realtime';
-import { OpenAIRealtimeEmitter, buildRealtimeURL } from './internal-base';
+import { OpenAIRealtimeEmitter, buildRealtimeURL, isAzure } from './internal-base';
 
 interface MessageEvent {
   data: string;
@@ -26,6 +26,7 @@ export class OpenAIRealtimeWebSocket extends OpenAIRealtimeEmitter {
     props: {
       model: string;
       dangerouslyAllowBrowser?: boolean;
+      onUrl?: (url: URL) => void;
     },
     client?: Pick<OpenAI, 'apiKey' | 'baseURL'>,
   ) {
@@ -44,11 +45,13 @@ export class OpenAIRealtimeWebSocket extends OpenAIRealtimeEmitter {
 
     client ??= new OpenAI({ dangerouslyAllowBrowser });
 
-    this.url = buildRealtimeURL({ baseURL: client.baseURL, model: props.model });
+    this.url = buildRealtimeURL(client, props.model);
+    props.onUrl?.(this.url);
+
     // @ts-ignore
     this.socket = new WebSocket(this.url, [
       'realtime',
-      `openai-insecure-api-key.${client.apiKey}`,
+      ...(isAzure(client) ? [] : [`openai-insecure-api-key.${client.apiKey}`]),
       'openai-beta.realtime-v1',
     ]);
 
@@ -77,6 +80,41 @@ export class OpenAIRealtimeWebSocket extends OpenAIRealtimeEmitter {
     this.socket.addEventListener('error', (event: any) => {
       this._onError(null, event.message, null);
     });
+
+    if (isAzure(client)) {
+      if (this.url.searchParams.get('Authorization') !== null) {
+        this.url.searchParams.set('Authorization', '<REDACTED>');
+      } else {
+        this.url.searchParams.set('api-key', '<REDACTED>');
+      }
+    }
+  }
+
+  static async azure(
+    client: AzureOpenAI,
+    options: { deploymentName?: string; dangerouslyAllowBrowser?: boolean } = {},
+  ): Promise<OpenAIRealtimeWebSocket> {
+    const token = await client._getAzureADToken();
+    function onUrl(url: URL) {
+      if (client.apiKey !== '<Missing Key>') {
+        url.searchParams.set('api-key', client.apiKey);
+      } else {
+        if (token) {
+          url.searchParams.set('Authorization', `Bearer ${token}`);
+        } else {
+          throw new Error('AzureOpenAI is not instantiated correctly. No API key or token provided.');
+        }
+      }
+    }
+    const deploymentName = options.deploymentName ?? client.deploymentName;
+    if (!deploymentName) {
+      throw new Error('No deployment name provided');
+    }
+    const { dangerouslyAllowBrowser } = options;
+    return new OpenAIRealtimeWebSocket(
+      { model: deploymentName, onUrl, ...(dangerouslyAllowBrowser ? { dangerouslyAllowBrowser } : {}) },
+      client,
+    );
   }
 
   send(event: RealtimeClientEvent) {

diff --git a/src/beta/realtime/ws.ts b/src/beta/realtime/ws.ts
@@ -1,7 +1,7 @@
 import * as WS from 'ws';
-import { OpenAI } from '../../index';
+import { AzureOpenAI, OpenAI } from '../../index';
 import type { RealtimeClientEvent, RealtimeServerEvent } from '../../resources/beta/realtime/realtime';
-import { OpenAIRealtimeEmitter, buildRealtimeURL } from './internal-base';
+import { OpenAIRealtimeEmitter, buildRealtimeURL, isAzure } from './internal-base';
 
 export class OpenAIRealtimeWS extends OpenAIRealtimeEmitter {
   url: URL;
@@ -14,12 +14,12 @@ export class OpenAIRealtimeWS extends OpenAIRealtimeEmitter {
     super();
     client ??= new OpenAI();
 
-    this.url = buildRealtimeURL({ baseURL: client.baseURL, model: props.model });
+    this.url = buildRealtimeURL(client, props.model);
     this.socket = new WS.WebSocket(this.url, {
       ...props.options,
       headers: {
         ...props.options?.headers,
-        Authorization: `Bearer ${client.apiKey}`,
+        ...(isAzure(client) ? {} : { Authorization: `Bearer ${client.apiKey}` }),
         'OpenAI-Beta': 'realtime=v1',
       },
     });
@@ -51,6 +51,20 @@ export class OpenAIRealtimeWS extends OpenAIRealtimeEmitter {
     });
   }
 
+  static async azure(
+    client: AzureOpenAI,
+    options: { deploymentName?: string; options?: WS.ClientOptions | undefined } = {},
+  ): Promise<OpenAIRealtimeWS> {
+    const deploymentName = options.deploymentName ?? client.deploymentName;
+    if (!deploymentName) {
+      throw new Error('No deployment name provided');
+    }
+    return new OpenAIRealtimeWS(
+      { model: deploymentName, options: { headers: await getAzureHeaders(client) } },
+      client,
+    );
+  }
+
   send(event: RealtimeClientEvent) {
     try {
       this.socket.send(JSON.stringify(event));
@@ -67,3 +81,16 @@ export class OpenAIRealtimeWS extends OpenAIRealtimeEmitter {
     }
   }
 }
+
+async function getAzureHeaders(client: AzureOpenAI) {
+  if (client.apiKey !== '<Missing Key>') {
+    return { 'api-key': client.apiKey };
+  } else {
+    const token = await client._getAzureADToken();
+    if (token) {
+      return { Authorization: `Bearer ${token}` };
+    } else {
+      throw new Error('AzureOpenAI is not instantiated correctly. No API key or token provided.');
+    }
+  }
+}