/api/v1/audio/speech

# 1. upload the reference clip
curl https://railwail.com/api/v1/audio/uploads \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -F "[email protected]"
# -> { "object": "audio.upload", "url": "https://.../audio-uploads/...wav", "duration_sec": 12.4, ... }

# 2. speak with that voice
curl https://railwail.com/api/v1/audio/speech \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "xtts-v2",
    "input": "Hello, this is my cloned voice.",
    "voice_sample": "<url from step 1>",
    "consent": true
  }' \
  --output cloned.wav

curl https://railwail.com/api/v1/audio/speech \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai-tts-1",
    "input": "Hello from Railwail. This sentence was spoken by a text-to-speech model.",
    "voice": "alloy"
  }' \
  --output speech.mp3

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/api/v1",
)

with client.audio.speech.with_streaming_response.create(
    model="openai-tts-1",
    voice="alloy",
    input="Hello from Railwail. This sentence was spoken by a text-to-speech model.",
) as response:
    response.stream_to_file("speech.mp3")

// ESM: save as speech.mjs
import fs from "node:fs/promises";
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/api/v1",
});

const speech = await client.audio.speech.create({
  model: "openai-tts-1",
  voice: "alloy",
  input: "Hello from Railwail. This sentence was spoken by a text-to-speech model.",
});
await fs.writeFile("speech.mp3", Buffer.from(await speech.arrayBuffer()));