リアルタイム音声合成プロバイダーを1つのAPIで

import { once } from "node:events";
import { createWriteStream } from "node:fs";
import WebSocket from "ws";

const url = new URL("wss://api.allmodels.io/v1/tts");
url.searchParams.set("model", "grok/grok-tts");
url.searchParams.set("voice", "eve");
url.searchParams.set("format", "pcm");

const output = createWriteStream("reply.pcm");
const ws = new WebSocket(url, {
  headers: { Authorization: `Bearer ${process.env.ALLMODELS_API_KEY}` }
});

// Audio arrives as binary WebSocket messages.
ws.on("message", (data, isBinary) => {
  if (isBinary) output.write(data);
});

await once(ws, "open");
// Send text as your LLM or application produces it.
ws.send(JSON.stringify({ type: "text", text: "Your order has shipped. " }));
ws.send(JSON.stringify({ type: "text", text: "It arrives tomorrow." }));
ws.send(JSON.stringify({ type: "flush" }));
ws.send(JSON.stringify({ type: "close" }));

await once(ws, "close");
output.end();

import asyncio
import json
import os

import websockets

URL = (
    "wss://api.allmodels.io/v1/tts"
    "?model=grok%2Fgrok-tts&voice=eve&format=pcm"
)

async def receive_audio(socket):
    with open("reply.pcm", "wb", buffering=0) as output:
        async for message in socket:
            if isinstance(message, bytes):
                output.write(message)

async def main():
    async with websockets.connect(
        URL,
        additional_headers={
            "Authorization": f"Bearer {os.environ['ALLMODELS_API_KEY']}"
        },
    ) as socket:
        receiver = asyncio.create_task(receive_audio(socket))
        for text in ["Your order has shipped. ", "It arrives tomorrow."]:
            await socket.send(json.dumps({"type": "text", "text": text}))
        await socket.send(json.dumps({"type": "flush"}))
        await socket.send(json.dumps({"type": "close"}))
        await receiver

asyncio.run(main())

import { writeFile } from "node:fs/promises";

const response = await fetch("https://api.allmodels.io/oai/audio/speech", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.ALLMODELS_API_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "grok/grok-tts",
    voice: "eve",
    input: "Your order has shipped. It arrives tomorrow.",
    response_format: "mp3"
  })
});

if (!response.ok) throw new Error(await response.text());
await writeFile("speech.mp3", Buffer.from(await response.arrayBuffer()));

import os

import requests

response = requests.post(
    "https://api.allmodels.io/oai/audio/speech",
    headers={"Authorization": f"Bearer {os.environ['ALLMODELS_API_KEY']}"},
    json={
        "model": "grok/grok-tts",
        "voice": "eve",
        "input": "Your order has shipped. It arrives tomorrow.",
        "response_format": "mp3",
    },
    timeout=60,
)
response.raise_for_status()

with open("speech.mp3", "wb") as output:
    output.write(response.content)

import { createWriteStream } from "node:fs";
import { Readable } from "node:stream";
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.ALLMODELS_API_KEY,
  baseURL: "https://api.allmodels.io/oai"
});

const response = await client.audio.speech.create({
  model: "grok/grok-tts",
  voice: "eve",
  input: "Your order has shipped. It arrives tomorrow.",
  response_format: "pcm",
  stream_format: "audio"
});

Readable.fromWeb(response.body).pipe(createWriteStream("speech.pcm"));

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["ALLMODELS_API_KEY"],
    base_url="https://api.allmodels.io/oai",
)

with client.audio.speech.with_streaming_response.create(
    model="grok/grok-tts",
    voice="eve",
    input="Your order has shipped. It arrives tomorrow.",
    response_format="pcm",
) as response:
    response.stream_to_file("speech.pcm")

import { writeFile } from "node:fs/promises";
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.ALLMODELS_API_KEY,
  baseURL: "https://api.allmodels.io/oai"
});

const audio = await client.audio.speech.create({
  model: "grok/grok-tts",
  voice: "eve",
  input: "Your order has shipped. It arrives tomorrow.",
  response_format: "mp3"
});

await writeFile("speech.mp3", Buffer.from(await audio.arrayBuffer()));

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["ALLMODELS_API_KEY"],
    base_url="https://api.allmodels.io/oai",
)

audio = client.audio.speech.create(
    model="grok/grok-tts",
    voice="eve",
    input="Your order has shipped. It arrives tomorrow.",
    response_format="mp3",
)

audio.write_to_file("speech.mp3")

import { createWriteStream } from "node:fs";
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";

const client = new ElevenLabsClient({
  apiKey: process.env.ALLMODELS_API_KEY,
  baseUrl: "https://api.allmodels.io/el"
});

const audio = await client.textToSpeech.stream("eve", {
  text: "Your order has shipped. It arrives tomorrow.",
  modelId: "grok/grok-tts",
  outputFormat: "mp3_44100_128"
});

const output = createWriteStream("speech.mp3");
for await (const chunk of audio) {
  output.write(Buffer.from(chunk));
}
output.end();

import os
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key=os.environ["ALLMODELS_API_KEY"],
    base_url="https://api.allmodels.io/el",
)

def generated_text():
    # Yield text as your LLM or application produces it.
    yield "Your order has shipped. "
    yield "It arrives tomorrow."

audio = client.text_to_speech.convert_realtime(
    "eve",
    text=generated_text(),
    model_id="grok/grok-tts",
    output_format="pcm_24000",
)

with open("reply.pcm", "wb", buffering=0) as output:
    for chunk in audio:
        output.write(chunk)

import { writeFile } from "node:fs/promises";
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";

const client = new ElevenLabsClient({
  apiKey: process.env.ALLMODELS_API_KEY,
  baseUrl: "https://api.allmodels.io/el"
});

const audio = await client.textToSpeech.convert("eve", {
  text: "Your order has shipped. It arrives tomorrow.",
  modelId: "grok/grok-tts",
  outputFormat: "mp3_44100_128"
});

const chunks = await Array.fromAsync(audio, (chunk) => Buffer.from(chunk));
await writeFile("speech.mp3", Buffer.concat(chunks));

import os
from elevenlabs.client import ElevenLabs

client = ElevenLabs(
    api_key=os.environ["ALLMODELS_API_KEY"],
    base_url="https://api.allmodels.io/el",
)

audio = client.text_to_speech.convert(
    "eve",
    text="Your order has shipped. It arrives tomorrow.",
    model_id="grok/grok-tts",
    output_format="mp3_44100_128",
)

with open("speech.mp3", "wb") as output:
    for chunk in audio:
        output.write(chunk)