mirror of
https://github.com/Bijit-Mondal/VoiceAgent.git
synced 2026-03-02 18:36:39 +00:00
- Added a new WebSocket server implementation in `ws-server-2.ts` that utilizes the `VoiceAgent` for handling voice interactions. - Integrated weather and time tools using the `ai` library for enhanced responses. - Refactored existing `ws-server.ts` to streamline the connection handling and event logging. - Enhanced `VoiceAgent` to support streaming speech generation with improved chunk handling and interruption capabilities. - Introduced new event listeners for better logging and handling of speech-related events. - Added graceful shutdown handling for the WebSocket server.
936 lines
27 KiB
TypeScript
936 lines
27 KiB
TypeScript
import { WebSocket } from "ws";
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import { EventEmitter } from "events";
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import {
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streamText,
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LanguageModel,
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stepCountIs,
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type Tool,
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type ModelMessage,
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experimental_transcribe as transcribe,
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experimental_generateSpeech as generateSpeech,
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type TranscriptionModel,
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type SpeechModel,
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} from "ai";
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/**
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* Represents a chunk of text to be converted to speech
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*/
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interface SpeechChunk {
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id: number;
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text: string;
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audioPromise?: Promise<Uint8Array | null>;
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}
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/**
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* Configuration for streaming speech behavior
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*/
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interface StreamingSpeechConfig {
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/** Minimum characters before generating speech for a chunk */
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minChunkSize: number;
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/** Maximum characters per chunk (will split at sentence boundary before this) */
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maxChunkSize: number;
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/** Whether to enable parallel TTS generation */
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parallelGeneration: boolean;
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/** Maximum number of parallel TTS requests */
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maxParallelRequests: number;
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}
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export interface VoiceAgentOptions {
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model: LanguageModel; // AI SDK Model for chat (e.g., openai('gpt-4o'))
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transcriptionModel?: TranscriptionModel; // AI SDK Transcription Model (e.g., openai.transcription('whisper-1'))
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speechModel?: SpeechModel; // AI SDK Speech Model (e.g., openai.speech('gpt-4o-mini-tts'))
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instructions?: string;
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stopWhen?: NonNullable<Parameters<typeof streamText>[0]["stopWhen"]>;
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tools?: Record<string, Tool>;
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endpoint?: string;
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voice?: string; // Voice for TTS (e.g., 'alloy', 'echo', 'shimmer')
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speechInstructions?: string; // Instructions for TTS voice style
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outputFormat?: string; // Audio output format (e.g., 'mp3', 'opus', 'wav')
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/** Configuration for streaming speech generation */
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streamingSpeech?: Partial<StreamingSpeechConfig>;
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}
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export class VoiceAgent extends EventEmitter {
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private socket?: WebSocket;
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private tools: Record<string, Tool> = {};
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private model: LanguageModel;
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private transcriptionModel?: TranscriptionModel;
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private speechModel?: SpeechModel;
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private instructions: string;
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private stopWhen: NonNullable<Parameters<typeof streamText>[0]["stopWhen"]>;
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private endpoint?: string;
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private isConnected = false;
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private conversationHistory: ModelMessage[] = [];
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private voice: string;
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private speechInstructions?: string;
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private outputFormat: string;
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private isProcessing = false;
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// Streaming speech state
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private streamingSpeechConfig: StreamingSpeechConfig;
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private currentSpeechAbortController?: AbortController;
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private speechChunkQueue: SpeechChunk[] = [];
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private nextChunkId = 0;
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private isSpeaking = false;
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private pendingTextBuffer = "";
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constructor(options: VoiceAgentOptions) {
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super();
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this.model = options.model;
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this.transcriptionModel = options.transcriptionModel;
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this.speechModel = options.speechModel;
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this.instructions =
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options.instructions || "You are a helpful voice assistant.";
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this.stopWhen = options.stopWhen || stepCountIs(5);
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this.endpoint = options.endpoint;
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this.voice = options.voice || "alloy";
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this.speechInstructions = options.speechInstructions;
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this.outputFormat = options.outputFormat || "mp3";
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if (options.tools) {
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this.tools = { ...options.tools };
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}
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// Initialize streaming speech config with defaults
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this.streamingSpeechConfig = {
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minChunkSize: 50,
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maxChunkSize: 200,
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parallelGeneration: true,
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maxParallelRequests: 3,
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...options.streamingSpeech,
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};
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}
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private setupListeners() {
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if (!this.socket) return;
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this.socket.on("message", async (data) => {
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try {
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const message = JSON.parse(data.toString());
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// Handle transcribed text from the client/STT
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if (message.type === "transcript") {
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// Interrupt ongoing speech when user starts speaking (barge-in)
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if (this.isSpeaking) {
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this.interruptSpeech("user_speaking");
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}
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await this.processUserInput(message.text);
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}
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// Handle raw audio data that needs transcription
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if (message.type === "audio") {
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// Interrupt ongoing speech when user starts speaking (barge-in)
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if (this.isSpeaking) {
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this.interruptSpeech("user_speaking");
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}
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await this.processAudioInput(message.data);
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}
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// Handle explicit interrupt request from client
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if (message.type === "interrupt") {
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this.interruptSpeech(message.reason || "client_request");
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}
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} catch (err) {
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console.error("Failed to process message:", err);
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this.emit("error", err);
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}
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});
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this.socket.on("close", () => {
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console.log("Disconnected");
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this.isConnected = false;
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this.emit("disconnected");
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});
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this.socket.on("error", (error) => {
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console.error("WebSocket error:", error);
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this.emit("error", error);
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});
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}
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public registerTools(tools: Record<string, Tool>) {
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this.tools = { ...this.tools, ...tools };
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}
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/**
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* Transcribe audio data to text using the configured transcription model
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*/
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public async transcribeAudio(audioData: Buffer | Uint8Array): Promise<string> {
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if (!this.transcriptionModel) {
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throw new Error("Transcription model not configured");
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}
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const result = await transcribe({
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model: this.transcriptionModel,
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audio: audioData,
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});
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this.emit("transcription", {
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text: result.text,
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language: result.language,
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});
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return result.text;
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}
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/**
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* Generate speech from text using the configured speech model
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* @param abortSignal Optional signal to cancel the speech generation
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*/
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public async generateSpeechFromText(
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text: string,
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abortSignal?: AbortSignal
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): Promise<Uint8Array> {
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if (!this.speechModel) {
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throw new Error("Speech model not configured");
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}
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const result = await generateSpeech({
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model: this.speechModel,
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text,
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voice: this.voice,
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instructions: this.speechInstructions,
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outputFormat: this.outputFormat,
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abortSignal,
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});
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return result.audio.uint8Array;
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}
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/**
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* Interrupt ongoing speech generation and playback (barge-in support)
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*/
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public interruptSpeech(reason: string = "interrupted"): void {
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if (!this.isSpeaking && this.speechChunkQueue.length === 0) {
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return;
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}
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// Abort any pending speech generation requests
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if (this.currentSpeechAbortController) {
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this.currentSpeechAbortController.abort();
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this.currentSpeechAbortController = undefined;
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}
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// Clear the speech queue
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this.speechChunkQueue = [];
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this.pendingTextBuffer = "";
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this.isSpeaking = false;
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// Notify clients to stop audio playback
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this.sendWebSocketMessage({
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type: "speech_interrupted",
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reason,
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});
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this.emit("speech_interrupted", { reason });
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}
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/**
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* Extract complete sentences from text buffer
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* Returns [extractedSentences, remainingBuffer]
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*/
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private extractSentences(text: string): [string[], string] {
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const sentences: string[] = [];
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let remaining = text;
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// Match sentences ending with . ! ? followed by space or end of string
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// Also handles common abbreviations and edge cases
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const sentenceEndPattern = /[.!?]+(?:\s+|$)/g;
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let lastIndex = 0;
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let match;
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while ((match = sentenceEndPattern.exec(text)) !== null) {
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const sentence = text.slice(lastIndex, match.index + match[0].length).trim();
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if (sentence.length >= this.streamingSpeechConfig.minChunkSize) {
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sentences.push(sentence);
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lastIndex = match.index + match[0].length;
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} else if (sentences.length > 0) {
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// Append short sentence to previous one
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sentences[sentences.length - 1] += " " + sentence;
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lastIndex = match.index + match[0].length;
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}
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}
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remaining = text.slice(lastIndex);
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// If remaining text is too long, force split at clause boundaries
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if (remaining.length > this.streamingSpeechConfig.maxChunkSize) {
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const clausePattern = /[,;:]\s+/g;
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let clauseMatch;
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let splitIndex = 0;
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while ((clauseMatch = clausePattern.exec(remaining)) !== null) {
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if (clauseMatch.index >= this.streamingSpeechConfig.minChunkSize) {
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splitIndex = clauseMatch.index + clauseMatch[0].length;
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break;
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}
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}
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if (splitIndex > 0) {
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sentences.push(remaining.slice(0, splitIndex).trim());
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remaining = remaining.slice(splitIndex);
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}
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}
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return [sentences, remaining];
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}
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/**
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* Queue a text chunk for speech generation
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*/
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private queueSpeechChunk(text: string): void {
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if (!this.speechModel || !text.trim()) return;
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const chunk: SpeechChunk = {
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id: this.nextChunkId++,
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text: text.trim(),
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};
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// Start generating audio immediately (parallel generation)
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if (this.streamingSpeechConfig.parallelGeneration) {
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const activeRequests = this.speechChunkQueue.filter(c => c.audioPromise).length;
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if (activeRequests < this.streamingSpeechConfig.maxParallelRequests) {
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chunk.audioPromise = this.generateChunkAudio(chunk);
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}
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}
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this.speechChunkQueue.push(chunk);
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this.emit("speech_chunk_queued", { id: chunk.id, text: chunk.text });
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// Start processing queue if not already
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if (!this.isSpeaking) {
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this.processSpeechQueue();
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}
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}
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/**
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* Generate audio for a single chunk
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*/
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private async generateChunkAudio(chunk: SpeechChunk): Promise<Uint8Array | null> {
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if (!this.currentSpeechAbortController) {
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this.currentSpeechAbortController = new AbortController();
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}
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try {
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const audioData = await this.generateSpeechFromText(
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chunk.text,
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this.currentSpeechAbortController.signal
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);
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return audioData;
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} catch (error) {
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if ((error as Error).name === "AbortError") {
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return null; // Cancelled, don't report as error
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}
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console.error(`Failed to generate audio for chunk ${chunk.id}:`, error);
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this.emit("error", error);
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return null;
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}
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}
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/**
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* Process the speech queue and send audio chunks in order
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*/
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private async processSpeechQueue(): Promise<void> {
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if (this.isSpeaking) return;
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this.isSpeaking = true;
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this.emit("speech_start", { streaming: true });
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this.sendWebSocketMessage({ type: "speech_stream_start" });
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try {
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while (this.speechChunkQueue.length > 0) {
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const chunk = this.speechChunkQueue[0];
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// Ensure audio generation has started
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if (!chunk.audioPromise) {
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chunk.audioPromise = this.generateChunkAudio(chunk);
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}
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// Wait for this chunk's audio
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const audioData = await chunk.audioPromise;
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// Check if we were interrupted while waiting
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if (!this.isSpeaking) break;
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// Remove from queue after processing
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this.speechChunkQueue.shift();
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if (audioData) {
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const base64Audio = Buffer.from(audioData).toString("base64");
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// Send audio chunk via WebSocket
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this.sendWebSocketMessage({
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type: "audio_chunk",
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chunkId: chunk.id,
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data: base64Audio,
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format: this.outputFormat,
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text: chunk.text,
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});
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// Emit for local handling
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this.emit("audio_chunk", {
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chunkId: chunk.id,
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data: base64Audio,
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format: this.outputFormat,
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text: chunk.text,
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uint8Array: audioData,
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});
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}
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// Start generating next chunks in parallel
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if (this.streamingSpeechConfig.parallelGeneration) {
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const activeRequests = this.speechChunkQueue.filter(c => c.audioPromise).length;
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const toStart = Math.min(
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this.streamingSpeechConfig.maxParallelRequests - activeRequests,
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this.speechChunkQueue.length
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);
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for (let i = 0; i < toStart; i++) {
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const nextChunk = this.speechChunkQueue.find(c => !c.audioPromise);
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if (nextChunk) {
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nextChunk.audioPromise = this.generateChunkAudio(nextChunk);
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}
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}
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}
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}
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} finally {
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this.isSpeaking = false;
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this.currentSpeechAbortController = undefined;
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this.sendWebSocketMessage({ type: "speech_stream_end" });
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this.emit("speech_complete", { streaming: true });
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}
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}
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/**
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* Process text deltra for streaming speech
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* Call this as text chunks arrive from LLM
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*/
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private processTextForStreamingSpeech(textDelta: string): void {
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if (!this.speechModel) return;
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this.pendingTextBuffer += textDelta;
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const [sentences, remaining] = this.extractSentences(this.pendingTextBuffer);
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this.pendingTextBuffer = remaining;
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for (const sentence of sentences) {
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this.queueSpeechChunk(sentence);
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}
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}
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/**
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* Flush any remaining text in the buffer to speech
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* Call this when stream ends
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*/
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private flushStreamingSpeech(): void {
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if (!this.speechModel || !this.pendingTextBuffer.trim()) return;
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this.queueSpeechChunk(this.pendingTextBuffer);
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this.pendingTextBuffer = "";
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}
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/**
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* Process incoming audio data: transcribe and generate response
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*/
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private async processAudioInput(base64Audio: string): Promise<void> {
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if (!this.transcriptionModel) {
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this.emit("error", new Error("Transcription model not configured for audio input"));
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return;
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}
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try {
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const audioBuffer = Buffer.from(base64Audio, "base64");
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this.emit("audio_received", { size: audioBuffer.length });
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const transcribedText = await this.transcribeAudio(audioBuffer);
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if (transcribedText.trim()) {
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await this.processUserInput(transcribedText);
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}
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} catch (error) {
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console.error("Failed to process audio input:", error);
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this.emit("error", error);
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}
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}
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public async connect(url?: string): Promise<void> {
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return new Promise((resolve, reject) => {
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try {
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// Use provided URL, configured endpoint, or default URL
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const wsUrl = url || this.endpoint || "ws://localhost:8080";
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this.socket = new WebSocket(wsUrl);
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this.setupListeners();
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this.socket.once("open", () => {
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this.isConnected = true;
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this.emit("connected");
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resolve();
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});
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this.socket.once("error", (error) => {
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reject(error);
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});
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} catch (error) {
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reject(error);
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}
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});
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}
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/**
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* Attach an existing WebSocket (server-side usage).
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* Use this when a WS server accepts a connection and you want the
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* agent to handle messages on that socket.
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*/
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public handleSocket(socket: WebSocket): void {
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this.socket = socket;
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this.isConnected = true;
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this.setupListeners();
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this.emit("connected");
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}
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/**
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* Send text input for processing (bypasses transcription)
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*/
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public async sendText(text: string): Promise<string> {
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return this.processUserInput(text);
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}
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|
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/**
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* Send audio data to be transcribed and processed
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* @param audioData Base64 encoded audio data
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*/
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public async sendAudio(audioData: string): Promise<void> {
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await this.processAudioInput(audioData);
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}
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|
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/**
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* Send raw audio buffer to be transcribed and processed
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*/
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public async sendAudioBuffer(audioBuffer: Buffer | Uint8Array): Promise<void> {
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const base64Audio = Buffer.from(audioBuffer).toString("base64");
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await this.processAudioInput(base64Audio);
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}
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|
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/**
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* Process user input with streaming text generation
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* Handles the full pipeline: text -> LLM (streaming) -> TTS -> WebSocket
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*/
|
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private async processUserInput(text: string): Promise<string> {
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|
if (this.isProcessing) {
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this.emit("warning", "Already processing a request, queuing...");
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}
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this.isProcessing = true;
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try {
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// Emit text event for incoming user input
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this.emit("text", { role: "user", text });
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|
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// Add user message to conversation history
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this.conversationHistory.push({ role: "user", content: text });
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|
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// Use streamText for streaming responses with tool support
|
|
const result = streamText({
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model: this.model,
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system: this.instructions,
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messages: this.conversationHistory,
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tools: this.tools,
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stopWhen: this.stopWhen,
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onChunk: ({ chunk }) => {
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// Emit streaming chunks for real-time updates
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// Note: onChunk only receives a subset of stream events
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switch (chunk.type) {
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case "text-delta":
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this.emit("chunk:text_delta", { id: chunk.id, text: chunk.text });
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break;
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|
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case "reasoning-delta":
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this.emit("chunk:reasoning_delta", { id: chunk.id, text: chunk.text });
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break;
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|
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case "tool-call":
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this.emit("chunk:tool_call", {
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toolName: chunk.toolName,
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toolCallId: chunk.toolCallId,
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input: chunk.input,
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});
|
|
break;
|
|
|
|
case "tool-result":
|
|
this.emit("chunk:tool_result", {
|
|
toolName: chunk.toolName,
|
|
toolCallId: chunk.toolCallId,
|
|
result: chunk.output,
|
|
});
|
|
break;
|
|
|
|
case "tool-input-start":
|
|
this.emit("chunk:tool_input_start", {
|
|
id: chunk.id,
|
|
toolName: chunk.toolName,
|
|
});
|
|
break;
|
|
|
|
case "tool-input-delta":
|
|
this.emit("chunk:tool_input_delta", {
|
|
id: chunk.id,
|
|
delta: chunk.delta,
|
|
});
|
|
break;
|
|
|
|
case "source":
|
|
this.emit("chunk:source", chunk);
|
|
break;
|
|
}
|
|
},
|
|
onFinish: async (event) => {
|
|
// Process steps for tool results
|
|
for (const step of event.steps) {
|
|
for (const toolResult of step.toolResults) {
|
|
this.emit("tool_result", {
|
|
name: toolResult.toolName,
|
|
toolCallId: toolResult.toolCallId,
|
|
result: toolResult.output,
|
|
});
|
|
}
|
|
}
|
|
},
|
|
onError: ({ error }) => {
|
|
console.error("Stream error:", error);
|
|
this.emit("error", error);
|
|
},
|
|
});
|
|
|
|
// Collect the full response text and reasoning
|
|
let fullText = "";
|
|
let fullReasoning = "";
|
|
const allToolCalls: Array<{
|
|
toolName: string;
|
|
toolCallId: string;
|
|
input: unknown;
|
|
}> = [];
|
|
const allToolResults: Array<{
|
|
toolName: string;
|
|
toolCallId: string;
|
|
output: unknown;
|
|
}> = [];
|
|
const allSources: Array<unknown> = [];
|
|
const allFiles: Array<unknown> = [];
|
|
|
|
// Process the full stream
|
|
for await (const part of result.fullStream) {
|
|
switch (part.type) {
|
|
// Stream lifecycle
|
|
case "start":
|
|
this.sendWebSocketMessage({ type: "stream_start" });
|
|
break;
|
|
|
|
case "finish":
|
|
this.emit("text", { role: "assistant", text: fullText });
|
|
this.sendWebSocketMessage({
|
|
type: "stream_finish",
|
|
finishReason: part.finishReason,
|
|
usage: part.totalUsage,
|
|
});
|
|
break;
|
|
|
|
case "error":
|
|
this.emit("error", part.error);
|
|
this.sendWebSocketMessage({
|
|
type: "stream_error",
|
|
error: String(part.error),
|
|
});
|
|
break;
|
|
|
|
case "abort":
|
|
this.emit("abort", { reason: part.reason });
|
|
this.sendWebSocketMessage({
|
|
type: "stream_abort",
|
|
reason: part.reason,
|
|
});
|
|
break;
|
|
|
|
// Step lifecycle
|
|
case "start-step":
|
|
this.sendWebSocketMessage({
|
|
type: "step_start",
|
|
warnings: part.warnings,
|
|
});
|
|
break;
|
|
|
|
case "finish-step":
|
|
this.sendWebSocketMessage({
|
|
type: "step_finish",
|
|
finishReason: part.finishReason,
|
|
usage: part.usage,
|
|
});
|
|
break;
|
|
|
|
// Text streaming
|
|
case "text-start":
|
|
this.sendWebSocketMessage({ type: "text_start", id: part.id });
|
|
break;
|
|
|
|
case "text-delta":
|
|
fullText += part.text;
|
|
// Process text for streaming speech as it arrives
|
|
this.processTextForStreamingSpeech(part.text);
|
|
this.sendWebSocketMessage({
|
|
type: "text_delta",
|
|
id: part.id,
|
|
text: part.text,
|
|
});
|
|
break;
|
|
|
|
case "text-end":
|
|
// Flush any remaining text to speech when text stream ends
|
|
this.flushStreamingSpeech();
|
|
this.sendWebSocketMessage({ type: "text_end", id: part.id });
|
|
break;
|
|
|
|
// Reasoning streaming (for models that support it)
|
|
case "reasoning-start":
|
|
this.sendWebSocketMessage({ type: "reasoning_start", id: part.id });
|
|
break;
|
|
|
|
case "reasoning-delta":
|
|
fullReasoning += part.text;
|
|
this.sendWebSocketMessage({
|
|
type: "reasoning_delta",
|
|
id: part.id,
|
|
text: part.text,
|
|
});
|
|
break;
|
|
|
|
case "reasoning-end":
|
|
this.sendWebSocketMessage({ type: "reasoning_end", id: part.id });
|
|
break;
|
|
|
|
// Tool input streaming
|
|
case "tool-input-start":
|
|
this.sendWebSocketMessage({
|
|
type: "tool_input_start",
|
|
id: part.id,
|
|
toolName: part.toolName,
|
|
});
|
|
break;
|
|
|
|
case "tool-input-delta":
|
|
this.sendWebSocketMessage({
|
|
type: "tool_input_delta",
|
|
id: part.id,
|
|
delta: part.delta,
|
|
});
|
|
break;
|
|
|
|
case "tool-input-end":
|
|
this.sendWebSocketMessage({ type: "tool_input_end", id: part.id });
|
|
break;
|
|
|
|
// Tool execution
|
|
case "tool-call":
|
|
allToolCalls.push({
|
|
toolName: part.toolName,
|
|
toolCallId: part.toolCallId,
|
|
input: part.input,
|
|
});
|
|
this.sendWebSocketMessage({
|
|
type: "tool_call",
|
|
toolName: part.toolName,
|
|
toolCallId: part.toolCallId,
|
|
input: part.input,
|
|
});
|
|
break;
|
|
|
|
case "tool-result":
|
|
allToolResults.push({
|
|
toolName: part.toolName,
|
|
toolCallId: part.toolCallId,
|
|
output: part.output,
|
|
});
|
|
this.sendWebSocketMessage({
|
|
type: "tool_result",
|
|
toolName: part.toolName,
|
|
toolCallId: part.toolCallId,
|
|
result: part.output,
|
|
});
|
|
break;
|
|
|
|
case "tool-error":
|
|
this.sendWebSocketMessage({
|
|
type: "tool_error",
|
|
toolName: part.toolName,
|
|
toolCallId: part.toolCallId,
|
|
error: String(part.error),
|
|
});
|
|
break;
|
|
|
|
// Sources and files
|
|
case "source":
|
|
allSources.push(part);
|
|
this.sendWebSocketMessage({
|
|
type: "source",
|
|
source: part,
|
|
});
|
|
break;
|
|
|
|
case "file":
|
|
allFiles.push(part.file);
|
|
this.sendWebSocketMessage({
|
|
type: "file",
|
|
file: part.file,
|
|
});
|
|
break;
|
|
}
|
|
}
|
|
|
|
// Add assistant response to conversation history
|
|
if (fullText) {
|
|
this.conversationHistory.push({ role: "assistant", content: fullText });
|
|
}
|
|
|
|
// Ensure any remaining speech is flushed (in case text-end wasn't triggered)
|
|
this.flushStreamingSpeech();
|
|
|
|
// Wait for all speech chunks to complete before signaling response complete
|
|
// This ensures audio playback can finish
|
|
while (this.speechChunkQueue.length > 0 || this.isSpeaking) {
|
|
await new Promise(resolve => setTimeout(resolve, 100));
|
|
}
|
|
|
|
// Send the complete response
|
|
this.sendWebSocketMessage({
|
|
type: "response_complete",
|
|
text: fullText,
|
|
reasoning: fullReasoning || undefined,
|
|
toolCalls: allToolCalls,
|
|
toolResults: allToolResults,
|
|
sources: allSources.length > 0 ? allSources : undefined,
|
|
files: allFiles.length > 0 ? allFiles : undefined,
|
|
});
|
|
|
|
return fullText;
|
|
} finally {
|
|
this.isProcessing = false;
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Generate speech for full text at once (non-streaming fallback)
|
|
* Useful when you want to bypass streaming speech for short responses
|
|
*/
|
|
public async generateAndSendSpeechFull(text: string): Promise<void> {
|
|
if (!this.speechModel) return;
|
|
|
|
try {
|
|
this.emit("speech_start", { text, streaming: false });
|
|
|
|
const audioData = await this.generateSpeechFromText(text);
|
|
const base64Audio = Buffer.from(audioData).toString("base64");
|
|
|
|
// Send audio via WebSocket
|
|
this.sendWebSocketMessage({
|
|
type: "audio",
|
|
data: base64Audio,
|
|
format: this.outputFormat,
|
|
});
|
|
|
|
// Also emit for local handling
|
|
this.emit("audio", {
|
|
data: base64Audio,
|
|
format: this.outputFormat,
|
|
uint8Array: audioData,
|
|
});
|
|
|
|
this.emit("speech_complete", { text, streaming: false });
|
|
} catch (error) {
|
|
console.error("Failed to generate speech:", error);
|
|
this.emit("error", error);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Send a message via WebSocket if connected
|
|
*/
|
|
private sendWebSocketMessage(message: Record<string, unknown>): void {
|
|
if (this.socket && this.isConnected) {
|
|
this.socket.send(JSON.stringify(message));
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Start listening for voice input
|
|
*/
|
|
startListening() {
|
|
console.log("Starting voice agent...");
|
|
this.emit("listening");
|
|
}
|
|
|
|
/**
|
|
* Stop listening for voice input
|
|
*/
|
|
stopListening() {
|
|
console.log("Stopping voice agent...");
|
|
this.emit("stopped");
|
|
}
|
|
|
|
/**
|
|
* Clear conversation history
|
|
*/
|
|
clearHistory() {
|
|
this.conversationHistory = [];
|
|
this.emit("history_cleared");
|
|
}
|
|
|
|
/**
|
|
* Get current conversation history
|
|
*/
|
|
getHistory(): ModelMessage[] {
|
|
return [...this.conversationHistory];
|
|
}
|
|
|
|
/**
|
|
* Set conversation history (useful for restoring sessions)
|
|
*/
|
|
setHistory(history: ModelMessage[]) {
|
|
this.conversationHistory = [...history];
|
|
}
|
|
|
|
/**
|
|
* Disconnect from WebSocket
|
|
*/
|
|
disconnect() {
|
|
if (this.socket) {
|
|
this.socket.close();
|
|
this.socket = undefined;
|
|
this.isConnected = false;
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Check if agent is connected to WebSocket
|
|
*/
|
|
get connected(): boolean {
|
|
return this.isConnected;
|
|
}
|
|
|
|
/**
|
|
* Check if agent is currently processing a request
|
|
*/
|
|
get processing(): boolean {
|
|
return this.isProcessing;
|
|
}
|
|
|
|
/**
|
|
* Check if agent is currently speaking (generating/playing audio)
|
|
*/
|
|
get speaking(): boolean {
|
|
return this.isSpeaking;
|
|
}
|
|
|
|
/**
|
|
* Get the number of pending speech chunks in the queue
|
|
*/
|
|
get pendingSpeechChunks(): number {
|
|
return this.speechChunkQueue.length;
|
|
}
|
|
}
|