[Azure] Support Realtime API - Standalone client

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 +509,31 @@ 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 `AzureOpenAIRealtimeWS` and `AzureOpenAIRealtimeWebSocket` classes. These classes parallel the `OpenAIRealtimeWS` and `OpenAIRealtimeWebSocket` clients described previously, but they are specifically adapted for Azure OpenAI endpoints.
+
+To utilize the real-time features, begin by creating a fully configured `AzureOpenAI` client and passing it into either `AzureOpenAIRealtimeWS` or `AzureOpenAIRealtimeWebSocket`. 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 = new AzureOpenAIRealtimeWS(client);
+```
+
+Once the real-time client has been created, open its underlying WebSocket connection by invoking the open method:
+```ts
+await rt.open();
+```
+
+With the connection established, 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.

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:');

examples/azure/websocket.ts

@@ -0,0 +1,61 @@
+import { AzureOpenAIRealtimeWebSocket } 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 = new AzureOpenAIRealtimeWebSocket(client);
+  await rt.open();
+
+  // 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();

examples/azure/ws.ts

@@ -0,0 +1,68 @@
+import { DefaultAzureCredential, getBearerTokenProvider } from '@azure/identity';
+import { AzureOpenAIRealtimeWS } 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 = new AzureOpenAIRealtimeWS(client);
+  await rt.open();
+
+  // 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();

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:..",

src/beta/realtime/websocket.ts

@@ -1,4 +1,4 @@
-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';
@@ -95,3 +95,106 @@ export class OpenAIRealtimeWebSocket extends OpenAIRealtimeEmitter {
     }
   }
 }
+
+export class AzureOpenAIRealtimeWebSocket extends OpenAIRealtimeEmitter {
+  socket: _WebSocket;
+
+  constructor(
+    private client: AzureOpenAI,
+    private options: {
+      deploymentName?: string;
+    } = {},
+  ) {
+    super();
+  }
+
+  async open(): Promise<void> {
+    async function getUrl({
+      apiVersion,
+      baseURL,
+      deploymentName,
+      apiKey,
+      token,
+    }: {
+      baseURL: string;
+      deploymentName: string;
+      apiVersion: string;
+      apiKey: string;
+      token: string | undefined;
+    }): Promise<URL> {
+      const path = '/realtime';
+      const url = new URL(baseURL + (baseURL.endsWith('/') ? path.slice(1) : path));
+      url.protocol = 'wss';
+      url.searchParams.set('api-version', apiVersion);
+      url.searchParams.set('deployment', deploymentName);
+      if (apiKey !== '<Missing Key>') {
+        url.searchParams.set('api-key', 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.');
+        }
+      }
+      return url;
+    }
+    const deploymentName = this.client.deploymentName ?? this.options.deploymentName;
+    if (!deploymentName) {
+      throw new Error('No deployment name provided');
+    }
+    const url = await getUrl({
+      apiVersion: this.client.apiVersion,
+      baseURL: this.client.baseURL,
+      deploymentName,
+      apiKey: this.client.apiKey,
+      token: await this.client.getAzureADToken(),
+    });
+    // @ts-ignore
+    this.socket = new WebSocket(url, ['realtime', 'openai-beta.realtime-v1']);
+
+    this.socket.addEventListener('message', (websocketEvent: MessageEvent) => {
+      const event = (() => {
+        try {
+          return JSON.parse(websocketEvent.data.toString()) as RealtimeServerEvent;
+        } catch (err) {
+          this._onError(null, 'could not parse websocket event', err);
+          return null;
+        }
+      })();
+
+      if (event) {
+        this._emit('event', event);
+
+        if (event.type === 'error') {
+          this._onError(event);
+        } else {
+          // @ts-expect-error TS isn't smart enough to get the relationship right here
+          this._emit(event.type, event);
+        }
+      }
+    });
+
+    this.socket.addEventListener('error', (event: any) => {
+      this._onError(null, event.message, null);
+    });
+  }
+
+  send(event: RealtimeClientEvent) {
+    if (!this.socket) {
+      throw new Error('Socket is not open, call open() first');
+    }
+    try {
+      this.socket.send(JSON.stringify(event));
+    } catch (err) {
+      this._onError(null, 'could not send data', err);
+    }
+  }
+
+  close(props?: { code: number; reason: string }) {
+    try {
+      this.socket?.close(props?.code ?? 1000, props?.reason ?? 'OK');
+    } catch (err) {
+      this._onError(null, 'could not close the connection', err);
+    }
+  }
+}