brianyin/ajs-322-openai-half-duplex-mode

.changeset/sour-mugs-lay.md

@@ -0,0 +1,7 @@
+---
+'@livekit/agents-plugin-google': patch
+'@livekit/agents-plugin-openai': patch
+'@livekit/agents': patch
+---
+
+Support openai half-duplex mode (audio in -> text out -> custom TTS model)

agents/src/llm/realtime.ts

@@ -19,6 +19,7 @@ export interface MessageGeneration {
   messageId: string;
   textStream: ReadableStream<string>;
   audioStream: ReadableStream<AudioFrame>;
+  modalities?: Promise<('text' | 'audio')[]>;
 }
 
 export interface GenerationCreatedEvent {
@@ -40,6 +41,7 @@ export interface RealtimeCapabilities {
   turnDetection: boolean;
   userTranscription: boolean;
   autoToolReplyGeneration: boolean;
+  audioOutput: boolean;
 }
 
 export interface InputTranscriptionCompleted {
@@ -121,7 +123,12 @@ export abstract class RealtimeSession extends EventEmitter {
   /**
    * Truncate the message at the given audio end time
    */
-  abstract truncate(options: { messageId: string; audioEndMs: number }): Promise<void>;
+  abstract truncate(options: {
+    messageId: string;
+    audioEndMs: number;
+    modalities?: ('text' | 'audio')[];
+    audioTranscript?: string;
+  }): Promise<void>;
 
   async close(): Promise<void> {
     this._mainTask.cancel();

agents/src/voice/agent_activity.ts

@@ -235,6 +235,14 @@ export class AgentActivity implements RecognitionHooks {
         } catch (error) {
           this.logger.error(error, 'failed to update the tools');
         }
+
+        if (!this.llm.capabilities.audioOutput && !this.tts && this.agentSession.output.audio) {
+          this.logger.error(
+            'audio output is enabled but RealtimeModel has no audio modality ' +
+              'and no TTS is set. Either enable audio modality in the RealtimeModel ' +
+              'or set a TTS model.',
+          );
+        }
       } else if (this.llm instanceof LLM) {
         try {
           updateInstructions({
@@ -1612,7 +1620,7 @@ export class AgentActivity implements RecognitionHooks {
 
     const readMessages = async (
       abortController: AbortController,
-      outputs: Array<[string, _TextOut | null, _AudioOut | null]>,
+      outputs: Array<[string, _TextOut | null, _AudioOut | null, ('text' | 'audio')[] | undefined]>,
     ) => {
       replyAbortController.signal.addEventListener('abort', () => abortController.abort(), {
         once: true,
@@ -1627,7 +1635,25 @@ export class AgentActivity implements RecognitionHooks {
             );
             break;
           }
-          const trNodeResult = await this.agent.transcriptionNode(msg.textStream, modelSettings);
+
+          const msgModalities = msg.modalities ? await msg.modalities : undefined;
+          let ttsTextInput: ReadableStream<string> | null = null;
+          let trTextInput: ReadableStream<string>;
+
+          if (msgModalities && !msgModalities.includes('audio') && this.tts) {
+            if (this.llm instanceof RealtimeModel && this.llm.capabilities.audioOutput) {
+              this.logger.warn(
+                'text response received from realtime API, falling back to use a TTS model.',
+              );
+            }
+            const [_ttsTextInput, _trTextInput] = msg.textStream.tee();
+            ttsTextInput = _ttsTextInput;
+            trTextInput = _trTextInput;
+          } else {
+            trTextInput = msg.textStream;
+          }
+
+          const trNodeResult = await this.agent.transcriptionNode(trTextInput, modelSettings);
           let textOut: _TextOut | null = null;
           if (trNodeResult) {
             const [textForwardTask, _textOut] = performTextForwarding(
@@ -1638,30 +1664,51 @@ export class AgentActivity implements RecognitionHooks {
             forwardTasks.push(textForwardTask);
             textOut = _textOut;
           }
+
           let audioOut: _AudioOut | null = null;
           if (audioOutput) {
-            const realtimeAudio = await this.agent.realtimeAudioOutputNode(
-              msg.audioStream,
-              modelSettings,
-            );
-            if (realtimeAudio) {
+            let realtimeAudioResult: ReadableStream<AudioFrame> | null = null;
+
+            if (ttsTextInput) {
+              const [ttsTask, ttsStream] = performTTSInference(
+                (...args) => this.agent.ttsNode(...args),
+                ttsTextInput,
+                modelSettings,
+                abortController,
+              );
+              tasks.push(ttsTask);
+              realtimeAudioResult = ttsStream;
+            } else if (msgModalities && msgModalities.includes('audio')) {
+              realtimeAudioResult = await this.agent.realtimeAudioOutputNode(
+                msg.audioStream,
+                modelSettings,
+              );
+            } else if (this.llm instanceof RealtimeModel && this.llm.capabilities.audioOutput) {
+              this.logger.error(
+                'Text message received from Realtime API with audio modality. ' +
+                  'This usually happens when text chat context is synced to the API. ' +
+                  'Try to add a TTS model as fallback or use text modality with TTS instead.',
+              );
+            } else {
+              this.logger.warn(
+                'audio output is enabled but neither tts nor realtime audio is available',
+              );
+            }
+
+            if (realtimeAudioResult) {
               const [forwardTask, _audioOut] = performAudioForwarding(
-                realtimeAudio,
+                realtimeAudioResult,
                 audioOutput,
                 abortController,
               );
               forwardTasks.push(forwardTask);
               audioOut = _audioOut;
               audioOut.firstFrameFut.await.finally(onFirstFrame);
-            } else {
-              this.logger.warn(
-                'audio output is enabled but neither tts nor realtime audio is available',
-              );
             }
           } else if (textOut) {
             textOut.firstTextFut.await.finally(onFirstFrame);
           }
-          outputs.push([msg.messageId, textOut, audioOut]);
+          outputs.push([msg.messageId, textOut, audioOut, msgModalities]);
         }
         await waitFor(forwardTasks);
       } catch (error) {
@@ -1671,7 +1718,9 @@ export class AgentActivity implements RecognitionHooks {
       }
     };
 
-    const messageOutputs: Array<[string, _TextOut | null, _AudioOut | null]> = [];
+    const messageOutputs: Array<
+      [string, _TextOut | null, _AudioOut | null, ('text' | 'audio')[] | undefined]
+    > = [];
     const tasks = [
       Task.from(
         (controller) => readMessages(controller, messageOutputs),
@@ -1750,7 +1799,7 @@ export class AgentActivity implements RecognitionHooks {
 
       if (messageOutputs.length > 0) {
         // there should be only one message
-        const [msgId, textOut, audioOut] = messageOutputs[0]!;
+        const [msgId, textOut, audioOut, msgModalities] = messageOutputs[0]!;
         let forwardedText = textOut?.text || '';
 
         if (audioOutput) {
@@ -1775,6 +1824,8 @@ export class AgentActivity implements RecognitionHooks {
           this.realtimeSession.truncate({
             messageId: msgId,
             audioEndMs: Math.floor(playbackPosition),
+            modalities: msgModalities,
+            audioTranscript: forwardedText,
           });
         }
 
@@ -1805,7 +1856,7 @@ export class AgentActivity implements RecognitionHooks {
 
     if (messageOutputs.length > 0) {
       // there should be only one message
-      const [msgId, textOut, _] = messageOutputs[0]!;
+      const [msgId, textOut, _, __] = messageOutputs[0]!;
       const message = ChatMessage.create({
         role: 'assistant',
         content: textOut?.text || '',

examples/src/realtime_with_tts.ts

@@ -0,0 +1,77 @@
+// SPDX-FileCopyrightText: 2025 LiveKit, Inc.
+//
+// SPDX-License-Identifier: Apache-2.0
+import {
+  type JobContext,
+  type JobProcess,
+  ServerOptions,
+  cli,
+  defineAgent,
+  llm,
+  log,
+  voice,
+} from '@livekit/agents';
+import * as elevenlabs from '@livekit/agents-plugin-elevenlabs';
+import * as openai from '@livekit/agents-plugin-openai';
+import * as silero from '@livekit/agents-plugin-silero';
+import { BackgroundVoiceCancellation } from '@livekit/noise-cancellation-node';
+import { fileURLToPath } from 'node:url';
+import { z } from 'zod';
+
+export default defineAgent({
+  prewarm: async (proc: JobProcess) => {
+    proc.userData.vad = await silero.VAD.load();
+  },
+  entry: async (ctx: JobContext) => {
+    const logger = log();
+
+    const getWeather = llm.tool({
+      description: 'Called when the user asks about the weather.',
+      parameters: z.object({
+        location: z.string().describe('The location to get the weather for'),
+      }),
+      execute: async ({ location }) => {
+        logger.info(`getting weather for ${location}`);
+        return `The weather in ${location} is sunny, and the temperature is 20 degrees Celsius.`;
+      },
+    });
+
+    const agent = new voice.Agent({
+      instructions: 'You are a helpful assistant. Always speak in English.',
+      tools: {
+        getWeather,
+      },
+    });
+
+    const session = new voice.AgentSession({
+      // Use RealtimeModel with text-only modality + separate TTS
+      llm: new openai.realtime.RealtimeModel({
+        modalities: ['text'],
+      }),
+      tts: new elevenlabs.TTS(),
+      voiceOptions: {
+        maxToolSteps: 5,
+      },
+    });
+
+    await session.start({
+      agent,
+      room: ctx.room,
+      inputOptions: {
+        noiseCancellation: BackgroundVoiceCancellation(),
+      },
+      outputOptions: {
+        transcriptionEnabled: true,
+        audioEnabled: true, // You can also disable audio output to use text modality only
+      },
+    });
+
+    session.say('Hello, how can I help you today?');
+
+    session.on(voice.AgentSessionEventTypes.MetricsCollected, (ev) => {
+      logger.debug('metrics_collected', ev);
+    });
+  },
+});
+
+cli.runApp(new ServerOptions({ agent: fileURLToPath(import.meta.url) }));

plugins/google/src/beta/realtime/realtime_api.ts

@@ -290,6 +290,7 @@ export class RealtimeModel extends llm.RealtimeModel {
       turnDetection: serverTurnDetection,
       userTranscription: inputAudioTranscription !== null,
       autoToolReplyGeneration: true,
+      audioOutput: options.modalities?.includes(Modality.AUDIO) ?? true,
     });
 
     // Environment variable fallbacks
@@ -600,7 +601,7 @@ export class RealtimeSession extends llm.RealtimeSession {
     this.hasReceivedAudioInput = true;
 
     for (const f of this.resampleAudio(frame)) {
-      for (const nf of this.bstream.write(f.data.buffer)) {
+      for (const nf of this.bstream.write(f.data.buffer as ArrayBuffer)) {
         const realtimeInput: types.LiveClientRealtimeInput = {
           mediaChunks: [
             {

plugins/openai/src/realtime/api_proto.ts

@@ -190,7 +190,7 @@ export interface SessionResource {
   id: string;
   object: 'realtime.session';
   model: string;
-  modalities: ['text', 'audio'] | ['text']; // default: ["text", "audio"]
+  modalities: Modality[]; // default: ["text", "audio"]
   instructions: string;
   voice: Voice; // default: "alloy"
   input_audio_format: AudioFormat; // default: "pcm16"
@@ -267,7 +267,7 @@ export interface SessionUpdateEvent extends BaseClientEvent {
   type: 'session.update';
   session: Partial<{
     model: Model;
-    modalities: ['text', 'audio'] | ['text'];
+    modalities: Modality[];
     instructions: string;
     voice: Voice;
     input_audio_format: AudioFormat;
@@ -350,7 +350,7 @@ export interface ConversationItemDeleteEvent extends BaseClientEvent {
 export interface ResponseCreateEvent extends BaseClientEvent {
   type: 'response.create';
   response?: Partial<{
-    modalities: ['text', 'audio'] | ['text'];
+    modalities: Modality[];
     instructions: string;
     voice: Voice;
     output_audio_format: AudioFormat;
@@ -511,6 +511,7 @@ export interface ResponseContentPartDoneEvent extends BaseServerEvent {
 export interface ResponseTextDeltaEvent extends BaseServerEvent {
   type: 'response.text.delta';
   response_id: string;
+  item_id: string;
   output_index: number;
   content_index: number;
   delta: string;
@@ -519,6 +520,7 @@ export interface ResponseTextDeltaEvent extends BaseServerEvent {
 export interface ResponseTextDoneEvent extends BaseServerEvent {
   type: 'response.text.done';
   response_id: string;
+  item_id: string;
   output_index: number;
   content_index: number;
   text: string;