mirror of
https://github.com/Bijit-Mondal/VoiceAgent.git
synced 2026-03-02 10:36:37 +00:00
5e7eb469ae
- Added ConversationManager for managing conversation history with configurable limits. - Implemented InputQueue for serial processing of input items. - Created SpeechManager for handling text-to-speech generation and streaming. - Developed StreamProcessor for processing LLM streams and forwarding events. - Added TranscriptionManager for audio transcription using AI SDK. - Introduced WebSocketManager for managing WebSocket connections and messaging. - Updated VoiceAgent to support new architecture and improved socket handling. - Refactored index files to export new core components.
1317 lines
46 KiB
JavaScript
1317 lines
46 KiB
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.VideoAgent = void 0;
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const ws_1 = require("ws");
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const events_1 = require("events");
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const ai_1 = require("ai");
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const types_1 = require("./types");
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/** Default maximum frame input size (5 MB) */
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const DEFAULT_MAX_FRAME_SIZE = 5 * 1024 * 1024;
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/** Default video agent config */
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const DEFAULT_VIDEO_AGENT_CONFIG = {
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maxContextFrames: 10,
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};
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class VideoAgent extends events_1.EventEmitter {
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socket;
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tools = {};
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model;
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transcriptionModel;
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speechModel;
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instructions;
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stopWhen;
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endpoint;
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isConnected = false;
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conversationHistory = [];
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voice;
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speechInstructions;
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outputFormat;
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isProcessing = false;
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isDestroyed = false;
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// Session management
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sessionId;
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frameSequence = 0;
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lastFrameTimestamp = 0;
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lastFrameHash;
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// Frame context buffer for visual conversation history
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frameContextBuffer = [];
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currentFrameData; // Base64 encoded current frame
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// Video agent configuration
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videoConfig;
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// Concurrency: queue incoming requests so they run serially
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inputQueue = [];
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processingQueue = false;
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// Abort controller for the current LLM stream so we can cancel it on interrupt/disconnect
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currentStreamAbortController;
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// Memory management
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historyConfig;
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maxAudioInputSize;
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maxFrameInputSize;
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// Streaming speech state
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streamingSpeechConfig;
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currentSpeechAbortController;
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speechChunkQueue = [];
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nextChunkId = 0;
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isSpeaking = false;
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pendingTextBuffer = "";
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// Promise-based signal for speech queue completion
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speechQueueDonePromise;
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speechQueueDoneResolve;
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constructor(options) {
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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 ||
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`You are a helpful multimodal AI assistant that can see through the user's camera and hear their voice.
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When analyzing images, be concise but informative. Describe what you see when asked.
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Keep responses conversational since they will be spoken aloud.
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Use tools when needed to provide accurate information.`;
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this.stopWhen = options.stopWhen || (0, ai_1.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 || "opus";
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this.maxAudioInputSize = options.maxAudioInputSize ?? types_1.DEFAULT_MAX_AUDIO_SIZE;
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this.maxFrameInputSize = options.maxFrameInputSize ?? DEFAULT_MAX_FRAME_SIZE;
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// Generate or use provided session ID
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this.sessionId = options.sessionId || this.generateSessionId();
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// Initialize video config
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this.videoConfig = {
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...DEFAULT_VIDEO_AGENT_CONFIG,
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maxContextFrames: options.maxContextFrames ?? DEFAULT_VIDEO_AGENT_CONFIG.maxContextFrames,
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};
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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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...types_1.DEFAULT_STREAMING_SPEECH_CONFIG,
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...options.streamingSpeech,
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};
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// Initialize history config with defaults
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this.historyConfig = {
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...types_1.DEFAULT_HISTORY_CONFIG,
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...options.history,
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};
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}
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/**
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* Generate a unique session ID
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*/
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generateSessionId() {
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const timestamp = Date.now().toString(36);
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const randomPart = Math.random().toString(36).substring(2, 10);
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return `vs_${timestamp}_${randomPart}`;
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}
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/**
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* Simple hash function for frame comparison
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*/
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hashFrame(data) {
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let hash = 0;
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for (let i = 0; i < data.length; i++) {
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const char = data.charCodeAt(i);
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hash = ((hash << 5) - hash) + char;
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hash = hash & hash; // Convert to 32bit integer
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}
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return `frame_${this.frameSequence}_${Math.abs(hash).toString(16)}`;
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}
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/**
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* Ensure the agent has not been destroyed. Throws if it has.
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*/
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ensureNotDestroyed() {
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if (this.isDestroyed) {
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throw new Error("VideoAgent has been destroyed and cannot be used");
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}
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}
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/**
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* Get current video agent configuration
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*/
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getConfig() {
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return { ...this.videoConfig };
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}
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/**
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* Update video agent configuration
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*/
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updateConfig(config) {
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this.videoConfig = { ...this.videoConfig, ...config };
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this.emit("config_changed", this.videoConfig);
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}
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setupListeners() {
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if (!this.socket)
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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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switch (message.type) {
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// Handle transcribed text from the client/STT
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case "transcript":
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if (typeof message.text !== "string" || !message.text.trim()) {
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this.emit("warning", "Received empty or invalid transcript message");
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return;
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}
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// Interrupt ongoing speech when user starts speaking (barge-in)
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this.interruptCurrentResponse("user_speaking");
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// Force capture current frame when user speaks
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this.requestFrameCapture("user_request");
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await this.enqueueTextInput(message.text);
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break;
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// Handle raw audio data that needs transcription
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case "audio":
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if (typeof message.data !== "string" || !message.data) {
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this.emit("warning", "Received empty or invalid audio message");
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return;
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}
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// Interrupt ongoing speech when user starts speaking (barge-in)
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this.interruptCurrentResponse("user_speaking");
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// Force capture current frame when user speaks
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this.requestFrameCapture("user_request");
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try {
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await this.processAudioInput(message);
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}
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catch (audioError) {
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this.emit("error", audioError);
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}
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break;
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// Handle video frame from client
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case "video_frame":
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await this.handleVideoFrame(message);
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break;
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// Handle explicit interrupt request from client
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case "interrupt":
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this.interruptCurrentResponse(message.reason || "client_request");
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break;
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// Handle client ready signal
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case "client_ready":
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this.handleClientReady(message);
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break;
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default:
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break;
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}
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}
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catch (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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this.isConnected = false;
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this.cleanupOnDisconnect();
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this.emit("disconnected");
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});
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this.socket.on("error", (error) => {
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this.emit("error", error);
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});
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}
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/**
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* Handle client ready signal
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*/
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handleClientReady(message) {
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// Send session info to client
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this.sendWebSocketMessage({
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type: "session_init",
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sessionId: this.sessionId,
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});
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this.emit("client_ready", message.capabilities);
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}
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/**
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* Handle incoming video frame
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*/
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async handleVideoFrame(frame) {
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try {
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// Validate frame
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if (!frame.image?.data) {
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this.emit("warning", "Received empty or invalid video frame");
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return;
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}
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// Check frame size
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const frameSize = Buffer.from(frame.image.data, "base64").length;
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if (frameSize > this.maxFrameInputSize) {
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const sizeMB = (frameSize / (1024 * 1024)).toFixed(1);
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const maxMB = (this.maxFrameInputSize / (1024 * 1024)).toFixed(1);
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this.emit("error", new Error(`Frame too large (${sizeMB} MB). Maximum allowed: ${maxMB} MB`));
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return;
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}
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// Update frame tracking
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const frameHash = this.hashFrame(frame.image.data);
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this.lastFrameTimestamp = frame.timestamp;
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this.lastFrameHash = frameHash;
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this.currentFrameData = frame.image.data;
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// Add to context buffer
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this.addFrameToContext({
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sequence: frame.sequence,
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timestamp: frame.timestamp,
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triggerReason: frame.triggerReason,
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frameHash,
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});
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// Emit frame received event
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this.emit("frame_received", {
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sequence: frame.sequence,
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timestamp: frame.timestamp,
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triggerReason: frame.triggerReason,
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size: frameSize,
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dimensions: { width: frame.image.width, height: frame.image.height },
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});
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// Acknowledge frame receipt to client
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this.sendWebSocketMessage({
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type: "frame_ack",
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sequence: frame.sequence,
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timestamp: Date.now(),
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});
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}
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catch (error) {
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this.emit("error", error);
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}
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}
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/**
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* Add frame to context buffer
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*/
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addFrameToContext(context) {
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this.frameContextBuffer.push(context);
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// Trim buffer if needed
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if (this.frameContextBuffer.length > this.videoConfig.maxContextFrames) {
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this.frameContextBuffer.shift();
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}
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}
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/**
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* Request client to capture and send a frame
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*/
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requestFrameCapture(reason) {
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this.sendWebSocketMessage({
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type: "capture_frame",
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reason,
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timestamp: Date.now(),
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});
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this.emit("frame_requested", { reason });
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}
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/**
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* Clean up all in-flight state when the connection drops.
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*/
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cleanupOnDisconnect() {
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// Abort ongoing LLM stream
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if (this.currentStreamAbortController) {
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this.currentStreamAbortController.abort();
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this.currentStreamAbortController = undefined;
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}
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// Abort ongoing speech generation
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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 speech state
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this.speechChunkQueue = [];
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this.pendingTextBuffer = "";
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this.isSpeaking = false;
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this.isProcessing = false;
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// Clear frame state
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this.currentFrameData = undefined;
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// Resolve any pending speech-done waiters
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if (this.speechQueueDoneResolve) {
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this.speechQueueDoneResolve();
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this.speechQueueDoneResolve = undefined;
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this.speechQueueDonePromise = undefined;
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}
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// Reject any queued inputs
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for (const item of this.inputQueue) {
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item.reject(new Error("Connection closed"));
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}
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this.inputQueue = [];
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this.processingQueue = false;
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}
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registerTools(tools) {
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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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async transcribeAudio(audioData) {
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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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try {
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const result = await (0, ai_1.experimental_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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// Also send transcription to client for immediate feedback
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this.sendWebSocketMessage({
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type: "transcription_result",
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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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catch (error) {
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throw error;
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}
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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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*/
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async generateSpeechFromText(text, abortSignal) {
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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 (0, ai_1.experimental_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
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*/
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interruptSpeech(reason = "interrupted") {
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if (!this.isSpeaking && this.speechChunkQueue.length === 0) {
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return;
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}
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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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this.speechChunkQueue = [];
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this.pendingTextBuffer = "";
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this.isSpeaking = false;
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if (this.speechQueueDoneResolve) {
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this.speechQueueDoneResolve();
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this.speechQueueDoneResolve = undefined;
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this.speechQueueDonePromise = undefined;
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}
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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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* Interrupt both the current LLM stream and ongoing speech
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*/
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interruptCurrentResponse(reason = "interrupted") {
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if (this.currentStreamAbortController) {
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this.currentStreamAbortController.abort();
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this.currentStreamAbortController = undefined;
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}
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this.interruptSpeech(reason);
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}
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/**
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* Extract complete sentences from text buffer
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*/
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extractSentences(text) {
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const sentences = [];
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let remaining = text;
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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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}
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else if (sentences.length > 0) {
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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.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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* Trim conversation history to stay within configured limits
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*/
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trimHistory() {
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const { maxMessages, maxTotalChars } = this.historyConfig;
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if (maxMessages > 0 && this.conversationHistory.length > maxMessages) {
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const excess = this.conversationHistory.length - maxMessages;
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const toRemove = excess % 2 === 0 ? excess : excess + 1;
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this.conversationHistory.splice(0, toRemove);
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this.emit("history_trimmed", { removedCount: toRemove, reason: "max_messages" });
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}
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if (maxTotalChars > 0) {
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let totalChars = this.conversationHistory.reduce((sum, msg) => {
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const content = typeof msg.content === "string" ? msg.content : JSON.stringify(msg.content);
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return sum + content.length;
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}, 0);
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let removedCount = 0;
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while (totalChars > maxTotalChars && this.conversationHistory.length > 2) {
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const removed = this.conversationHistory.shift();
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if (removed) {
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const content = typeof removed.content === "string" ? removed.content : JSON.stringify(removed.content);
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totalChars -= content.length;
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removedCount++;
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}
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}
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if (removedCount > 0) {
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this.emit("history_trimmed", { removedCount, reason: "max_total_chars" });
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}
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}
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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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queueSpeechChunk(text) {
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if (!this.speechModel || !text.trim())
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return;
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if (this.nextChunkId >= Number.MAX_SAFE_INTEGER) {
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this.nextChunkId = 0;
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}
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const chunk = {
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id: this.nextChunkId++,
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text: text.trim(),
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};
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if (!this.speechQueueDonePromise) {
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this.speechQueueDonePromise = new Promise((resolve) => {
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this.speechQueueDoneResolve = resolve;
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});
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}
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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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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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async generateChunkAudio(chunk) {
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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(chunk.text, this.currentSpeechAbortController.signal);
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return audioData;
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}
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catch (error) {
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if (error.name === "AbortError") {
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return null;
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}
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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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/**
|
|
* Process the speech queue and send audio chunks in order
|
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*/
|
|
async processSpeechQueue() {
|
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if (this.isSpeaking)
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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) {
|
|
const chunk = this.speechChunkQueue[0];
|
|
if (!chunk.audioPromise) {
|
|
chunk.audioPromise = this.generateChunkAudio(chunk);
|
|
}
|
|
const audioData = await chunk.audioPromise;
|
|
if (!this.isSpeaking) {
|
|
break;
|
|
}
|
|
this.speechChunkQueue.shift();
|
|
if (audioData) {
|
|
const base64Audio = Buffer.from(audioData).toString("base64");
|
|
this.sendWebSocketMessage({
|
|
type: "audio_chunk",
|
|
chunkId: chunk.id,
|
|
data: base64Audio,
|
|
format: this.outputFormat,
|
|
text: chunk.text,
|
|
});
|
|
this.emit("audio_chunk", {
|
|
chunkId: chunk.id,
|
|
data: base64Audio,
|
|
format: this.outputFormat,
|
|
text: chunk.text,
|
|
uint8Array: audioData,
|
|
});
|
|
}
|
|
if (this.streamingSpeechConfig.parallelGeneration) {
|
|
const activeRequests = this.speechChunkQueue.filter((c) => c.audioPromise).length;
|
|
const toStart = Math.min(this.streamingSpeechConfig.maxParallelRequests - activeRequests, this.speechChunkQueue.length);
|
|
if (toStart > 0) {
|
|
for (let i = 0; i < toStart; i++) {
|
|
const nextChunk = this.speechChunkQueue.find((c) => !c.audioPromise);
|
|
if (nextChunk) {
|
|
nextChunk.audioPromise = this.generateChunkAudio(nextChunk);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
catch (error) {
|
|
this.emit("error", error);
|
|
}
|
|
finally {
|
|
this.isSpeaking = false;
|
|
this.currentSpeechAbortController = undefined;
|
|
if (this.speechQueueDoneResolve) {
|
|
this.speechQueueDoneResolve();
|
|
this.speechQueueDoneResolve = undefined;
|
|
this.speechQueueDonePromise = undefined;
|
|
}
|
|
this.sendWebSocketMessage({ type: "speech_stream_end" });
|
|
this.emit("speech_complete", { streaming: true });
|
|
}
|
|
}
|
|
/**
|
|
* Process text delta for streaming speech
|
|
*/
|
|
processTextForStreamingSpeech(textDelta) {
|
|
if (!this.speechModel)
|
|
return;
|
|
this.pendingTextBuffer += textDelta;
|
|
const [sentences, remaining] = this.extractSentences(this.pendingTextBuffer);
|
|
this.pendingTextBuffer = remaining;
|
|
for (const sentence of sentences) {
|
|
this.queueSpeechChunk(sentence);
|
|
}
|
|
}
|
|
/**
|
|
* Flush any remaining text in the buffer to speech
|
|
*/
|
|
flushStreamingSpeech() {
|
|
if (!this.speechModel || !this.pendingTextBuffer.trim())
|
|
return;
|
|
this.queueSpeechChunk(this.pendingTextBuffer);
|
|
this.pendingTextBuffer = "";
|
|
}
|
|
/**
|
|
* Process incoming audio data: transcribe and generate response
|
|
*/
|
|
async processAudioInput(audioMessage) {
|
|
if (!this.transcriptionModel) {
|
|
const error = new Error("Transcription model not configured for audio input");
|
|
this.emit("error", error);
|
|
this.sendWebSocketMessage({
|
|
type: "error",
|
|
error: error.message,
|
|
});
|
|
return;
|
|
}
|
|
try {
|
|
const audioBuffer = Buffer.from(audioMessage.data, "base64");
|
|
if (audioBuffer.length > this.maxAudioInputSize) {
|
|
const sizeMB = (audioBuffer.length / (1024 * 1024)).toFixed(1);
|
|
const maxMB = (this.maxAudioInputSize / (1024 * 1024)).toFixed(1);
|
|
this.emit("error", new Error(`Audio input too large (${sizeMB} MB). Maximum allowed: ${maxMB} MB`));
|
|
return;
|
|
}
|
|
if (audioBuffer.length === 0) {
|
|
this.emit("warning", "Received empty audio data");
|
|
return;
|
|
}
|
|
this.emit("audio_received", {
|
|
size: audioBuffer.length,
|
|
format: audioMessage.format,
|
|
sessionId: audioMessage.sessionId || this.sessionId,
|
|
});
|
|
const transcribedText = await this.transcribeAudio(audioBuffer);
|
|
if (transcribedText.trim()) {
|
|
await this.enqueueTextInput(transcribedText);
|
|
}
|
|
else {
|
|
this.emit("warning", "Transcription returned empty text");
|
|
this.sendWebSocketMessage({
|
|
type: "transcription_error",
|
|
error: "Whisper returned empty text",
|
|
});
|
|
}
|
|
}
|
|
catch (error) {
|
|
this.emit("error", error);
|
|
this.sendWebSocketMessage({
|
|
type: "transcription_error",
|
|
error: `Transcription failed: ${error.message || String(error)}`,
|
|
});
|
|
}
|
|
}
|
|
async connect(url) {
|
|
this.ensureNotDestroyed();
|
|
if (this.socket) {
|
|
this.disconnectSocket();
|
|
}
|
|
return new Promise((resolve, reject) => {
|
|
try {
|
|
const wsUrl = url || this.endpoint || "ws://localhost:8080";
|
|
this.socket = new ws_1.WebSocket(wsUrl);
|
|
this.setupListeners();
|
|
this.socket.once("open", () => {
|
|
this.isConnected = true;
|
|
this.emit("connected");
|
|
resolve();
|
|
});
|
|
this.socket.once("error", (error) => {
|
|
reject(error);
|
|
});
|
|
}
|
|
catch (error) {
|
|
reject(error);
|
|
}
|
|
});
|
|
}
|
|
/**
|
|
* Attach an existing WebSocket (server-side usage)
|
|
*/
|
|
handleSocket(socket) {
|
|
this.ensureNotDestroyed();
|
|
if (this.socket) {
|
|
this.disconnectSocket();
|
|
}
|
|
this.socket = socket;
|
|
this.isConnected = true;
|
|
this.setupListeners();
|
|
this.emit("connected");
|
|
}
|
|
/**
|
|
* Send text input for processing (bypasses transcription)
|
|
*/
|
|
async sendText(text) {
|
|
this.ensureNotDestroyed();
|
|
if (!text || !text.trim()) {
|
|
throw new Error("Text input cannot be empty");
|
|
}
|
|
return this.enqueueTextInput(text);
|
|
}
|
|
/**
|
|
* Send audio data to be transcribed and processed
|
|
*/
|
|
async sendAudio(audioData) {
|
|
this.ensureNotDestroyed();
|
|
await this.processAudioInput({
|
|
type: "audio",
|
|
sessionId: this.sessionId,
|
|
data: audioData,
|
|
format: "unknown",
|
|
timestamp: Date.now(),
|
|
});
|
|
}
|
|
/**
|
|
* Send raw audio buffer to be transcribed and processed
|
|
*/
|
|
async sendAudioBuffer(audioBuffer) {
|
|
this.ensureNotDestroyed();
|
|
const base64Audio = Buffer.from(audioBuffer).toString("base64");
|
|
await this.processAudioInput({
|
|
type: "audio",
|
|
sessionId: this.sessionId,
|
|
data: base64Audio,
|
|
format: "unknown",
|
|
timestamp: Date.now(),
|
|
});
|
|
}
|
|
/**
|
|
* Send a video frame with optional text query for vision analysis
|
|
*/
|
|
async sendFrame(frameData, query, options) {
|
|
this.ensureNotDestroyed();
|
|
const frame = {
|
|
type: "video_frame",
|
|
sessionId: this.sessionId,
|
|
sequence: this.frameSequence++,
|
|
timestamp: Date.now(),
|
|
triggerReason: "user_request",
|
|
previousFrameRef: this.lastFrameHash,
|
|
image: {
|
|
data: frameData,
|
|
format: options?.format || "webp",
|
|
width: options?.width || 640,
|
|
height: options?.height || 480,
|
|
},
|
|
};
|
|
// Update local frame state
|
|
await this.handleVideoFrame(frame);
|
|
if (query) {
|
|
return this.enqueueMultimodalInput(query, frame);
|
|
}
|
|
return "";
|
|
}
|
|
/**
|
|
* Enqueue a text input for serial processing
|
|
*/
|
|
enqueueTextInput(text) {
|
|
return new Promise((resolve, reject) => {
|
|
this.inputQueue.push({ text, resolve, reject });
|
|
this.drainInputQueue();
|
|
});
|
|
}
|
|
/**
|
|
* Enqueue a multimodal input (text + frame) for serial processing
|
|
*/
|
|
enqueueMultimodalInput(text, frame) {
|
|
return new Promise((resolve, reject) => {
|
|
this.inputQueue.push({ text, frame, resolve, reject });
|
|
this.drainInputQueue();
|
|
});
|
|
}
|
|
/**
|
|
* Drain the input queue, processing one request at a time
|
|
*/
|
|
async drainInputQueue() {
|
|
if (this.processingQueue) {
|
|
return;
|
|
}
|
|
this.processingQueue = true;
|
|
try {
|
|
while (this.inputQueue.length > 0) {
|
|
const item = this.inputQueue.shift();
|
|
try {
|
|
let result;
|
|
if (item.frame && item.text) {
|
|
result = await this.processMultimodalInput(item.text, item.frame);
|
|
}
|
|
else if (item.text) {
|
|
result = await this.processUserInput(item.text);
|
|
}
|
|
else {
|
|
result = "";
|
|
}
|
|
item.resolve(result);
|
|
}
|
|
catch (error) {
|
|
item.reject(error);
|
|
}
|
|
}
|
|
}
|
|
finally {
|
|
this.processingQueue = false;
|
|
}
|
|
}
|
|
/**
|
|
* Build the message content array for multimodal input
|
|
*/
|
|
buildMultimodalContent(text, frameData) {
|
|
const content = [];
|
|
// Add frame context description if available
|
|
if (this.frameContextBuffer.length > 0) {
|
|
const contextSummary = `[Visual context: ${this.frameContextBuffer.length} frames captured, latest at ${new Date(this.lastFrameTimestamp).toISOString()}]`;
|
|
content.push({ type: "text", text: contextSummary });
|
|
}
|
|
// Add current frame if available
|
|
const imageData = frameData || this.currentFrameData;
|
|
if (imageData) {
|
|
content.push({
|
|
type: "image",
|
|
image: imageData,
|
|
});
|
|
}
|
|
// Add user query
|
|
content.push({ type: "text", text });
|
|
return content;
|
|
}
|
|
/**
|
|
* Process multimodal input (text + video frame)
|
|
*/
|
|
async processMultimodalInput(text, frame) {
|
|
this.isProcessing = true;
|
|
this.currentStreamAbortController = new AbortController();
|
|
const streamAbortSignal = this.currentStreamAbortController.signal;
|
|
try {
|
|
this.emit("text", { role: "user", text, hasImage: true });
|
|
// Build multimodal message content
|
|
const content = this.buildMultimodalContent(text, frame.image.data);
|
|
// Add to conversation history (simplified for history)
|
|
this.conversationHistory.push({
|
|
role: "user",
|
|
content: [{ type: "text", text: `[Image attached] ${text}` }],
|
|
});
|
|
this.trimHistory();
|
|
// Use streamText with multimodal content
|
|
const result = (0, ai_1.streamText)({
|
|
model: this.model,
|
|
system: this.instructions,
|
|
messages: [
|
|
...this.conversationHistory.slice(0, -1), // Previous history
|
|
{ role: "user", content }, // Current multimodal message
|
|
],
|
|
tools: this.tools,
|
|
stopWhen: this.stopWhen,
|
|
abortSignal: streamAbortSignal,
|
|
onChunk: ({ chunk }) => {
|
|
this.handleStreamChunk(chunk);
|
|
},
|
|
onFinish: async (event) => {
|
|
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 }) => {
|
|
this.emit("error", error);
|
|
},
|
|
});
|
|
return await this.processStreamResult(result);
|
|
}
|
|
catch (error) {
|
|
this.pendingTextBuffer = "";
|
|
if (this.speechChunkQueue.length > 0 || this.isSpeaking) {
|
|
this.interruptSpeech("stream_error");
|
|
}
|
|
throw error;
|
|
}
|
|
finally {
|
|
this.isProcessing = false;
|
|
this.currentStreamAbortController = undefined;
|
|
}
|
|
}
|
|
/**
|
|
* Process user input with streaming text generation
|
|
*/
|
|
async processUserInput(text) {
|
|
this.isProcessing = true;
|
|
this.currentStreamAbortController = new AbortController();
|
|
const streamAbortSignal = this.currentStreamAbortController.signal;
|
|
try {
|
|
this.emit("text", { role: "user", text });
|
|
// Check if we have current frame data - if so, include it
|
|
const hasVisualContext = !!this.currentFrameData;
|
|
let messages;
|
|
if (hasVisualContext) {
|
|
// Build multimodal message
|
|
const content = this.buildMultimodalContent(text);
|
|
// Store simplified version in history
|
|
this.conversationHistory.push({
|
|
role: "user",
|
|
content: [{ type: "text", text: `[Visual context] ${text}` }],
|
|
});
|
|
messages = [
|
|
...this.conversationHistory.slice(0, -1),
|
|
{ role: "user", content },
|
|
];
|
|
}
|
|
else {
|
|
// Text-only message
|
|
this.conversationHistory.push({ role: "user", content: text });
|
|
messages = this.conversationHistory;
|
|
}
|
|
this.trimHistory();
|
|
const result = (0, ai_1.streamText)({
|
|
model: this.model,
|
|
system: this.instructions,
|
|
messages,
|
|
tools: this.tools,
|
|
stopWhen: this.stopWhen,
|
|
abortSignal: streamAbortSignal,
|
|
onChunk: ({ chunk }) => {
|
|
this.handleStreamChunk(chunk);
|
|
},
|
|
onFinish: async (event) => {
|
|
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 }) => {
|
|
this.emit("error", error);
|
|
},
|
|
});
|
|
return await this.processStreamResult(result);
|
|
}
|
|
catch (error) {
|
|
this.pendingTextBuffer = "";
|
|
if (this.speechChunkQueue.length > 0 || this.isSpeaking) {
|
|
this.interruptSpeech("stream_error");
|
|
}
|
|
throw error;
|
|
}
|
|
finally {
|
|
this.isProcessing = false;
|
|
this.currentStreamAbortController = undefined;
|
|
}
|
|
}
|
|
/**
|
|
* Handle individual stream chunks
|
|
*/
|
|
handleStreamChunk(chunk) {
|
|
switch (chunk.type) {
|
|
case "text-delta":
|
|
this.emit("chunk:text_delta", { id: chunk.id, text: chunk.text });
|
|
break;
|
|
case "reasoning-delta":
|
|
this.emit("chunk:reasoning_delta", { id: chunk.id, text: chunk.text });
|
|
break;
|
|
case "tool-call":
|
|
this.emit("chunk:tool_call", {
|
|
toolName: chunk.toolName,
|
|
toolCallId: chunk.toolCallId,
|
|
input: chunk.input,
|
|
});
|
|
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;
|
|
}
|
|
}
|
|
/**
|
|
* Process the full stream result and return the response text
|
|
*/
|
|
async processStreamResult(result) {
|
|
let fullText = "";
|
|
let fullReasoning = "";
|
|
const allToolCalls = [];
|
|
const allToolResults = [];
|
|
const allSources = [];
|
|
const allFiles = [];
|
|
for await (const part of result.fullStream) {
|
|
switch (part.type) {
|
|
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;
|
|
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;
|
|
case "text-start":
|
|
this.sendWebSocketMessage({ type: "text_start", id: part.id });
|
|
break;
|
|
case "text-delta":
|
|
fullText += part.text;
|
|
this.processTextForStreamingSpeech(part.text);
|
|
this.sendWebSocketMessage({
|
|
type: "text_delta",
|
|
id: part.id,
|
|
text: part.text,
|
|
});
|
|
break;
|
|
case "text-end":
|
|
this.flushStreamingSpeech();
|
|
this.sendWebSocketMessage({ type: "text_end", id: part.id });
|
|
break;
|
|
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;
|
|
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;
|
|
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;
|
|
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 });
|
|
this.trimHistory();
|
|
}
|
|
// Ensure any remaining speech is flushed
|
|
this.flushStreamingSpeech();
|
|
// Wait for all speech chunks to complete
|
|
if (this.speechQueueDonePromise) {
|
|
await this.speechQueueDonePromise;
|
|
}
|
|
// Send the complete response
|
|
this.sendWebSocketMessage({
|
|
type: "response_complete",
|
|
sessionId: this.sessionId,
|
|
text: fullText,
|
|
reasoning: fullReasoning || undefined,
|
|
toolCalls: allToolCalls,
|
|
toolResults: allToolResults,
|
|
sources: allSources.length > 0 ? allSources : undefined,
|
|
files: allFiles.length > 0 ? allFiles : undefined,
|
|
frameContext: this.frameContextBuffer.length > 0 ? {
|
|
frameCount: this.frameContextBuffer.length,
|
|
lastFrameSequence: this.frameContextBuffer[this.frameContextBuffer.length - 1]?.sequence,
|
|
} : undefined,
|
|
});
|
|
return fullText;
|
|
}
|
|
/**
|
|
* Send a message via WebSocket if connected
|
|
*/
|
|
sendWebSocketMessage(message) {
|
|
if (!this.socket || !this.isConnected)
|
|
return;
|
|
try {
|
|
if (this.socket.readyState === ws_1.WebSocket.OPEN) {
|
|
this.socket.send(JSON.stringify(message));
|
|
}
|
|
}
|
|
catch (error) {
|
|
this.emit("error", error);
|
|
}
|
|
}
|
|
/**
|
|
* Start listening for voice/video input
|
|
*/
|
|
startListening() {
|
|
this.emit("listening");
|
|
}
|
|
/**
|
|
* Stop listening for voice/video input
|
|
*/
|
|
stopListening() {
|
|
this.emit("stopped");
|
|
}
|
|
/**
|
|
* Clear conversation history
|
|
*/
|
|
clearHistory() {
|
|
this.conversationHistory = [];
|
|
this.frameContextBuffer = [];
|
|
this.emit("history_cleared");
|
|
}
|
|
/**
|
|
* Get current conversation history
|
|
*/
|
|
getHistory() {
|
|
return [...this.conversationHistory];
|
|
}
|
|
/**
|
|
* Set conversation history
|
|
*/
|
|
setHistory(history) {
|
|
this.conversationHistory = [...history];
|
|
}
|
|
/**
|
|
* Get frame context buffer
|
|
*/
|
|
getFrameContext() {
|
|
return [...this.frameContextBuffer];
|
|
}
|
|
/**
|
|
* Get session ID
|
|
*/
|
|
getSessionId() {
|
|
return this.sessionId;
|
|
}
|
|
/**
|
|
* Internal helper to close and clean up the current socket
|
|
*/
|
|
disconnectSocket() {
|
|
if (!this.socket)
|
|
return;
|
|
this.cleanupOnDisconnect();
|
|
try {
|
|
this.socket.removeAllListeners();
|
|
if (this.socket.readyState === ws_1.WebSocket.OPEN ||
|
|
this.socket.readyState === ws_1.WebSocket.CONNECTING) {
|
|
this.socket.close();
|
|
}
|
|
}
|
|
catch {
|
|
// Ignore close errors
|
|
}
|
|
this.socket = undefined;
|
|
this.isConnected = false;
|
|
}
|
|
/**
|
|
* Disconnect from WebSocket and stop all in-flight work
|
|
*/
|
|
disconnect() {
|
|
this.disconnectSocket();
|
|
}
|
|
/**
|
|
* Permanently destroy the agent, releasing all resources
|
|
*/
|
|
destroy() {
|
|
this.isDestroyed = true;
|
|
this.disconnectSocket();
|
|
this.conversationHistory = [];
|
|
this.frameContextBuffer = [];
|
|
this.tools = {};
|
|
this.removeAllListeners();
|
|
}
|
|
/**
|
|
* Check if agent is connected to WebSocket
|
|
*/
|
|
get connected() {
|
|
return this.isConnected;
|
|
}
|
|
/**
|
|
* Check if agent is currently processing a request
|
|
*/
|
|
get processing() {
|
|
return this.isProcessing;
|
|
}
|
|
/**
|
|
* Check if agent is currently speaking
|
|
*/
|
|
get speaking() {
|
|
return this.isSpeaking;
|
|
}
|
|
/**
|
|
* Get the number of pending speech chunks in the queue
|
|
*/
|
|
get pendingSpeechChunks() {
|
|
return this.speechChunkQueue.length;
|
|
}
|
|
/**
|
|
* Check if agent has been permanently destroyed
|
|
*/
|
|
get destroyed() {
|
|
return this.isDestroyed;
|
|
}
|
|
/**
|
|
* Get current frame sequence number
|
|
*/
|
|
get currentFrameSequence() {
|
|
return this.frameSequence;
|
|
}
|
|
/**
|
|
* Check if there is visual context available
|
|
*/
|
|
get hasVisualContext() {
|
|
return !!this.currentFrameData;
|
|
}
|
|
}
|
|
exports.VideoAgent = VideoAgent;
|
|
//# sourceMappingURL=VideoAgent.js.map
|