tokenhop-tts
Text-to-speech via tokenhop /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate aud
Files1
View on GitHubSKILL.mdskills/tokenhop-tts/SKILL.md
GitHubtokenhop — Text-to-Speech
Requires TOKENHOP_URL (and TOKENHOP_KEY if auth enabled). See https://raw.githubusercontent.com/tokenhop/tokenhop/refs/heads/master/skills/tokenhop/SKILL.md for setup.
If they are unset, use the legacy NINEROUTER_URL / NINEROUTER_KEY instead. <!-- legacy(9router): remove in v2 -->
Discover
# 1) List models
curl $TOKENHOP_URL/v1/models/tts | jq '.data[].id'
# 2) Per-model metadata (params, voicesUrl if voice-by-id)
curl "$TOKENHOP_URL/v1/models/info?id=el/eleven_multilingual_v2"
# 3) List voices (elevenlabs, edge-tts, deepgram, inworld, local-device). Optional ?lang=vi
curl "$TOKENHOP_URL/v1/audio/voices?provider=edge-tts&lang=vi" | jq '.data[].model'
model field in /v1/audio/speech = voice ID directly (e.g. edge-tts/vi-VN-HoaiMyNeural, el/<voice_id>, or openai/tts-1 model+default voice).
Endpoint
POST $TOKENHOP_URL/v1/audio/speech
| Field | Required | Notes |
|---|---|---|
model |
yes | voice ID from /v1/models/tts |
input |
yes | text to speak |
voice |
no | used only when model has no voice (openai, selfhosted-tts) |
response_format |
no | audio codec mp3, opus, aac, flac, wav, pcm (openai, selfhosted-tts); anything else is a 400 |
The query ?response_format=mp3 (the default, raw bytes) or ?response_format=json ({audio: base64, format}) picks the response envelope. The body response_format picks the codec.
Examples
Save MP3:
curl -X POST "$TOKENHOP_URL/v1/audio/speech" \
-H "Authorization: Bearer $TOKENHOP_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/tts-1","input":"Hello world"}' \
--output speech.mp3
JS (save file):
import { writeFile } from "node:fs/promises";
const r = await fetch(`${process.env.TOKENHOP_URL}/v1/audio/speech`, {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.TOKENHOP_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ model: "el/eleven_multilingual_v2", input: "Xin chào" }),
});
await writeFile("speech.mp3", Buffer.from(await r.arrayBuffer()));
Response shape
Default → raw audio bytes (Content-Type audio/mp3).
?response_format=json:
{ "audio": "SUQzBAAAA...", "format": "mp3" }
Provider quirks (model format)
| Provider | model format |
Notes |
|---|---|---|
openai |
tts-1/alloy, tts-1 (+ body voice), or just voice |
Default model gpt-4o-mini-tts |
elevenlabs |
<model_id>/<voice_id> or <voice_id> |
Default model eleven_flash_v2_5; list voices in Dashboard |
openrouter |
openai/gpt-4o-mini-tts[/alloy] (+ body voice) |
Or bare voice; streamed via chat-completions audio |
edge-tts |
voice id e.g. vi-VN-HoaiMyNeural |
noAuth; default vi-VN-HoaiMyNeural |
google-tts |
language code e.g. en, vi |
noAuth |
local-device |
OS voice name (say -v ? / SAPI) |
noAuth; needs ffmpeg |
deepgram |
aura-asteria-en etc |
Token auth |
nvidia, inworld, cartesia, playht |
model/voice |
Provider-specific auth header |
coqui, tortoise |
speaker / voice id | Localhost noAuth |
hyperbolic |
model id | Body = {text} only |