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Fonoster MCP Server

Official
by fonoster
MIT License
118
7,325
  • Apple
  • Linux
Autopilot.ts3.57 kB
/** * Copyright (C) 2025 by Fonoster Inc (https://fonoster.com) * http://github.com/fonoster/fonoster * * This file is part of Fonoster * * Licensed under the MIT License (the "License"); * you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * https://opensource.org/licenses/MIT * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ import path from "path"; import { getLogger } from "@fonoster/logger"; import { Actor, createActor } from "xstate"; import { machine } from "./machine/machine"; import { AutopilotParams } from "./types"; import { SileroVad, Vad, VadEvent } from "./vad"; const logger = getLogger({ service: "autopilot", filePath: __filename }); class Autopilot { private readonly actor: Actor<typeof machine>; private vad: Vad; constructor(private readonly params: AutopilotParams) { const { voice, languageModel, conversationSettings } = this.params; this.actor = createActor(machine, { input: { conversationSettings, languageModel, voice } }); } async start() { const vadParams = this.params.conversationSettings.vad; const sileroVad = new SileroVad({ pathToModel: vadParams.pathToModel || path.resolve(__dirname, "..", "silero_vad_v5.onnx"), activationThreshold: vadParams.activationThreshold, deactivationThreshold: vadParams.deactivationThreshold, debounceFrames: vadParams.debounceFrames }); await sileroVad.init(); this.vad = sileroVad; await this.setupVoiceStream(); await this.setupSpeechGathering(); this.actor.start(); logger.verbose("autopilot is ready"); this.actor.subscribe((state) => { logger.verbose("actor's new state is", { state: state.value }); }); } stop() { logger.verbose("stopping autopilot"); this.actor.stop(); } private async setupVoiceStream() { const { voice } = this.params; const stream = await voice.stream(); stream.onData(this.handleVoicePayload.bind(this)); } private handleVoicePayload(chunk: Uint8Array) { try { if (!this.vad) { logger.error("VAD not initialized"); return; } // Process the audio chunk with the VAD directly this.vad.processChunk(chunk, (event: VadEvent) => { logger.verbose("received speech event from vad", { event }); if (event === "SPEECH_START") { this.actor.send({ type: "SPEECH_START" }); } else if (event === "SPEECH_END") { this.actor.send({ type: "SPEECH_END" }); } }); } catch (err) { logger.error("an error occurred while processing vad", err); } } private async setupSpeechGathering() { const { voice } = this.params; const stream = await voice.sgather(); stream.onData((payload: { speech: string; responseTime: number }) => { const { speech, responseTime } = payload; logger.verbose("received speech result", { event: "SPEECH_RESULT", speech, responseTime }); if (payload.speech) { this.actor.send({ type: "SPEECH_RESULT", speech: payload.speech ?? "", responseTime }); } }); } } export { Autopilot };

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