Files
AI-Profile-Router/integrations/openclaw-athena-talk/index.ts
T

354 lines
13 KiB
TypeScript

import { randomUUID } from "node:crypto";
import { definePluginEntry } from "openclaw/plugin-sdk/plugin-entry";
const AUDIO_FORMAT = { encoding: "pcm16", sampleRateHz: 24000, channels: 1 } as const;
type ProviderConfig = {
baseUrl?: string;
apiKey?: string;
voice?: string;
language?: string;
vadThreshold?: number;
silenceDurationMs?: number;
prefixPaddingMs?: number;
maxSpeechSeconds?: number;
};
function record(value: unknown): Record<string, any> {
return value && typeof value === "object" && !Array.isArray(value)
? value as Record<string, any>
: {};
}
function resolveConfig(req: any): Required<ProviderConfig> {
const raw = record(req.providerConfig);
const modelProviders = record(record(req.cfg).models).providers;
const athena = record(record(modelProviders).athena);
return {
baseUrl: String(raw.baseUrl || athena.baseUrl || "http://192.168.1.212:8081/v1").replace(/\/$/, ""),
apiKey: String(raw.apiKey || athena.apiKey || ""),
voice: String(raw.voice || req.voice || "alloy"),
language: String(raw.language || req.language || "de"),
vadThreshold: Number(raw.vadThreshold ?? 0.018),
silenceDurationMs: Number(raw.silenceDurationMs ?? 750),
prefixPaddingMs: Number(raw.prefixPaddingMs ?? 300),
maxSpeechSeconds: Number(raw.maxSpeechSeconds ?? 45),
};
}
function wavFromPcm16(pcm: Buffer, sampleRate = 24000): Buffer {
const header = Buffer.alloc(44);
header.write("RIFF", 0);
header.writeUInt32LE(36 + pcm.length, 4);
header.write("WAVEfmt ", 8);
header.writeUInt32LE(16, 16);
header.writeUInt16LE(1, 20);
header.writeUInt16LE(1, 22);
header.writeUInt32LE(sampleRate, 24);
header.writeUInt32LE(sampleRate * 2, 28);
header.writeUInt16LE(2, 32);
header.writeUInt16LE(16, 34);
header.write("data", 36);
header.writeUInt32LE(pcm.length, 40);
return Buffer.concat([header, pcm]);
}
function pcmRms(pcm: Buffer): number {
if (pcm.length < 2) return 0;
let sum = 0;
const count = Math.floor(pcm.length / 2);
for (let i = 0; i < count; i += 1) {
const value = pcm.readInt16LE(i * 2) / 32768;
sum += value * value;
}
return Math.sqrt(sum / count);
}
function splitForIncrementalSpeech(text: string, limit = 80): string[] {
const words = text.replace(/\s+/g, " ").trim().split(" ").filter(Boolean);
const chunks: string[] = [];
let current = "";
for (const word of words) {
const candidate = current ? `${current} ${word}` : word;
if (current && candidate.length > limit) {
chunks.push(current);
current = word;
} else {
current = candidate;
}
if (current.length >= 35 && /[.!?](?:["')\]_*]+)?$/.test(word)) {
chunks.push(current);
current = "";
}
}
if (current) chunks.push(current);
return chunks;
}
function readWavPcm24k(wav: Buffer): Buffer {
if (wav.length < 44 || wav.toString("ascii", 0, 4) !== "RIFF") {
throw new Error("Athena TTS did not return PCM WAV audio");
}
let offset = 12;
let sampleRate = 0;
let channels = 0;
let bits = 0;
let data: Buffer | undefined;
while (offset + 8 <= wav.length) {
const id = wav.toString("ascii", offset, offset + 4);
const size = wav.readUInt32LE(offset + 4);
const start = offset + 8;
if (id === "fmt " && size >= 16) {
if (wav.readUInt16LE(start) !== 1) throw new Error("Athena TTS WAV is not PCM");
channels = wav.readUInt16LE(start + 2);
sampleRate = wav.readUInt32LE(start + 4);
bits = wav.readUInt16LE(start + 14);
} else if (id === "data") {
data = wav.subarray(start, Math.min(start + size, wav.length));
}
offset = start + size + (size % 2);
}
if (!data || !sampleRate || bits !== 16 || channels < 1) {
throw new Error("Unsupported Athena TTS WAV format");
}
const frames = Math.floor(data.length / (2 * channels));
const mono = new Int16Array(frames);
for (let i = 0; i < frames; i += 1) mono[i] = data.readInt16LE(i * channels * 2);
if (sampleRate === 24000) return Buffer.from(mono.buffer);
const outFrames = Math.max(1, Math.round(frames * 24000 / sampleRate));
const out = Buffer.alloc(outFrames * 2);
for (let i = 0; i < outFrames; i += 1) {
const source = i * sampleRate / 24000;
const left = Math.min(frames - 1, Math.floor(source));
const right = Math.min(frames - 1, left + 1);
const fraction = source - left;
const value = Math.round(mono[left] * (1 - fraction) + mono[right] * fraction);
out.writeInt16LE(Math.max(-32768, Math.min(32767, value)), i * 2);
}
return out;
}
class AthenaTalkBridge {
readonly supportsToolResultContinuation = false;
readonly supportsToolResultSuppression = false;
private connected = false;
private closed = false;
private speaking = false;
private speech: Buffer[] = [];
private prefix: Buffer[] = [];
private prefixBytes = 0;
private silenceTimer?: NodeJS.Timeout;
private active?: AbortController;
private transcribing = false;
private generation = 0;
constructor(private readonly req: any, private readonly cfg: Required<ProviderConfig>) {}
async connect(): Promise<void> {
this.connected = true;
this.req.onEvent?.({ direction: "server", type: "session.created" });
this.req.onReady?.();
}
isConnected(): boolean { return this.connected && !this.closed; }
setMediaTimestamp(_timestamp: number): void {}
sendAudio(chunk: Buffer): void {
if (!this.isConnected() || chunk.length === 0) return;
// Half-duplex by design: while Athena is transcribing, consulting the
// agent, synthesizing, or playing a reply, microphone input is ignored.
// This prevents speaker feedback and background noise from cancelling the
// response that is currently being delivered.
if (this.transcribing || this.active) return;
const voiced = pcmRms(chunk) >= this.cfg.vadThreshold;
const maxPrefix = Math.round(24000 * 2 * this.cfg.prefixPaddingMs / 1000);
if (!this.speaking) {
this.prefix.push(Buffer.from(chunk));
this.prefixBytes += chunk.length;
while (this.prefixBytes > maxPrefix && this.prefix.length > 1) {
this.prefixBytes -= this.prefix.shift()!.length;
}
if (!voiced) return;
this.speaking = true;
this.speech = this.prefix;
this.prefix = [];
this.prefixBytes = 0;
} else {
this.speech.push(Buffer.from(chunk));
}
const maxBytes = this.cfg.maxSpeechSeconds * 24000 * 2;
if (this.speech.reduce((sum, part) => sum + part.length, 0) >= maxBytes) {
void this.finishSpeech();
return;
}
if (voiced) {
if (this.silenceTimer) clearTimeout(this.silenceTimer);
this.silenceTimer = setTimeout(() => void this.finishSpeech(), this.cfg.silenceDurationMs);
}
}
sendUserMessage(text: string): void {
const trimmed = text.trim();
if (trimmed) void this.answer(trimmed);
}
triggerGreeting(instructions?: string): void {
void this.answer(instructions?.trim() || "Begrüße mich kurz auf Deutsch.");
}
submitToolResult(_callId: string, _result: unknown): void {}
acknowledgeMark(_markName: string): void {}
close(): void {
this.closed = true;
this.connected = false;
this.generation += 1;
this.active?.abort();
if (this.silenceTimer) clearTimeout(this.silenceTimer);
this.req.onClose?.("completed");
}
private async finishSpeech(): Promise<void> {
if (!this.speaking) return;
this.speaking = false;
if (this.silenceTimer) clearTimeout(this.silenceTimer);
this.silenceTimer = undefined;
const pcm = Buffer.concat(this.speech);
this.speech = [];
if (pcm.length < 24000 * 2 * 0.25) return;
this.transcribing = true;
try {
const text = await this.transcribe(pcm);
if (!text || !this.isConnected()) return;
this.req.onTranscript?.("user", text, true);
this.transcribing = false;
await this.answer(text);
} catch (error) {
if ((error as Error).name !== "AbortError") this.req.onError?.(error as Error);
} finally {
this.transcribing = false;
}
}
private async transcribe(pcm: Buffer): Promise<string> {
const form = new FormData();
form.append("file", new Blob([wavFromPcm16(pcm)], { type: "audio/wav" }), "talk.wav");
form.append("model", "whisper-1");
form.append("language", this.cfg.language);
const response = await fetch(`${this.cfg.baseUrl}/audio/transcriptions`, {
method: "POST",
headers: this.authHeaders(),
body: form,
});
if (!response.ok) throw new Error(`Athena STT failed (HTTP ${response.status})`);
const payload = record(await response.json());
return String(payload.text || "").trim();
}
private async answer(prompt: string): Promise<void> {
if (!this.req.runAgentConsult) throw new Error("OpenClaw agent-consult is unavailable");
if (this.active) return;
const controller = new AbortController();
this.active = controller;
const generation = ++this.generation;
const responseId = `athena-${randomUUID()}`;
try {
const voicePrompt = `${prompt}\n\nAntwortregeln für diese Sprachantwort: Antworte ausschließlich auf Deutsch, kurz und direkt. Keine Analyse, keine Meta-Kommentare, kein Markdown und keine Wiederholung der Anfrage. Gib nur den Text aus, der gesprochen werden soll.`;
const result = await this.req.runAgentConsult({ prompt: voicePrompt, signal: controller.signal });
if (generation !== this.generation || !this.isConnected()) return;
const text = String(result?.text || "").trim();
if (!text) return;
this.req.onEvent?.({ direction: "server", type: "response.created", responseId });
this.req.onTranscript?.("assistant", text, true);
const speechChunks = splitForIncrementalSpeech(text);
if (speechChunks.length === 0) return;
const frameBytes = 24000 * 2 / 50;
let playbackEndsAt = 0;
let nextAudio = this.synthesize(speechChunks[0], controller.signal);
for (let index = 0; index < speechChunks.length; index += 1) {
const pcm = await nextAudio;
if (generation !== this.generation || !this.isConnected()) return;
if (index + 1 < speechChunks.length) {
nextAudio = this.synthesize(speechChunks[index + 1], controller.signal);
}
const audioDurationMs = pcm.length / (24000 * 2) * 1000;
playbackEndsAt = Math.max(playbackEndsAt, Date.now()) + audioDurationMs;
for (let offset = 0; offset < pcm.length; offset += frameBytes) {
if (controller.signal.aborted || generation !== this.generation || !this.isConnected()) {
return;
}
this.req.onAudio?.(pcm.subarray(offset, Math.min(offset + frameBytes, pcm.length)));
await new Promise((resolve) => setTimeout(resolve, 18));
}
}
const remainingPlaybackMs = Math.max(0, playbackEndsAt - Date.now());
await new Promise((resolve) => setTimeout(resolve, remainingPlaybackMs + 300));
this.req.onResponseDone?.({ status: "completed", responseId });
this.req.onEvent?.({ direction: "server", type: "response.done", responseId });
} catch (error) {
if ((error as Error).name === "AbortError") {
this.req.onResponseDone?.({ status: "cancelled", responseId });
} else {
this.req.onError?.(error as Error);
this.req.onResponseDone?.({ status: "failed", responseId, error: String(error) });
}
} finally {
if (this.active === controller) this.active = undefined;
}
}
private async synthesize(text: string, signal: AbortSignal): Promise<Buffer> {
const response = await fetch(`${this.cfg.baseUrl}/audio/speech`, {
method: "POST",
headers: { "Content-Type": "application/json", ...this.authHeaders() },
// Athena normalizes the request and serves it through Qwen3-TTS.
body: JSON.stringify({ voice: this.cfg.voice, input: text, response_format: "wav" }),
signal,
});
if (!response.ok) throw new Error(`Athena TTS failed (HTTP ${response.status})`);
return readWavPcm24k(Buffer.from(await response.arrayBuffer()));
}
private authHeaders(): Record<string, string> {
return this.cfg.apiKey ? { Authorization: `Bearer ${this.cfg.apiKey}` } : {};
}
}
export default definePluginEntry({
id: "athena-talk",
name: "Athena Local Talk",
description: "Private voice loop using Athena STT and TTS with the normal OpenClaw agent.",
register(api) {
api.registerRealtimeVoiceProvider({
id: "athena-talk",
label: "Athena Local Talk",
aliases: ["athena", "local-athena"],
defaultModel: "athena-local",
voices: ["alloy"],
autoSelectOrder: 1,
capabilities: {
transports: ["gateway-relay"],
inputAudioFormats: [AUDIO_FORMAT],
outputAudioFormats: [AUDIO_FORMAT],
supportsBargeIn: false,
handlesInputAudioBargeIn: false,
supportsToolCalls: true,
supportsSessionResumption: false,
},
resolveConfig: ({ rawConfig }) => record(rawConfig),
isConfigured: ({ providerConfig, cfg }) => {
const raw = record(providerConfig);
const athena = record(record(record(cfg).models).providers).athena;
return Boolean(raw.baseUrl || record(athena).baseUrl);
},
createBridge: (req) => new AthenaTalkBridge(req, resolveConfig(req)),
} as any);
},
});