feat: Introduce new core components for conversation and speech management

- 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.

dist/core/TranscriptionManager.d.ts

@@ -0,0 +1,28 @@
+import { EventEmitter } from "events";
+import { type TranscriptionModel } from "ai";
+export interface TranscriptionManagerOptions {
+    transcriptionModel?: TranscriptionModel;
+    maxAudioInputSize?: number;
+}
+/**
+ * Handles audio transcription using the AI SDK transcription model
+ * and validation of incoming audio data.
+ */
+export declare class TranscriptionManager extends EventEmitter {
+    private transcriptionModel?;
+    private maxAudioInputSize;
+    /** Callback to send messages over the WebSocket */
+    sendMessage: (message: Record<string, unknown>) => void;
+    constructor(options?: TranscriptionManagerOptions);
+    get hasTranscriptionModel(): boolean;
+    /**
+     * Transcribe audio data to text.
+     */
+    transcribeAudio(audioData: Buffer | Uint8Array): Promise<string>;
+    /**
+     * Process incoming base64-encoded audio: validate, decode, transcribe.
+     * Returns the transcribed text, or null if invalid / empty.
+     */
+    processAudioInput(base64Audio: string, format?: string): Promise<string | null>;
+}
+//# sourceMappingURL=TranscriptionManager.d.ts.map