Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 0xatd/cheaptokens-skills --skill venice-audio-speechgit clone --depth 1 https://github.com/0xatd/cheaptokens-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/0xatd/cheaptokens-skills/venice-audio-speech)<a href="https://agentmods.dev/skills/0xatd/cheaptokens-skills/venice-audio-speech"><img src="https://agentmods.dev/badge/skills/0xatd/cheaptokens-skills/venice-audio-speech/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/0xatd/cheaptokens-skills/venice-audio-speech"><img src="https://agentmods.dev/badge/skills/0xatd/cheaptokens-skills/venice-audio-speech.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.02461 |
| Opus 5.5 | $0.00036 | $0.00984 |
| Sonnet 5.5 | $0.00018 | $0.00492 |
| Haiku 4.5 | $0.00009 | $0.00246 |
Grade A, and why
venice-audio-speech scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl https://api.venice.ai/api/v1/audio/speech \ How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Venice TTS (/audio/speech)
POST /api/v1/audio/speech converts text to an audio stream or file. OpenAI-compatible — the OpenAI SDK's audio.speech.create() works as a drop-in.
Use when
- You want narration, voice replies, or UI audio from text.
- You need a specific voice family (ElevenLabs, Kokoro, xAI, Qwen 3, Orpheus, Chatterbox, MiniMax, Inworld, Gemini Flash).
- You want streaming audio returned sentence-by-sentence.
- You need style/emotion control on supported models.
For music generation (lyrics + instrumental), see venice-audio-music. For transcription (audio → text), see venice-audio-transcription.
Minimal request
curl https://api.venice.ai/api/v1/audio/speech \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "tts-xai-v1",
"voice": "eve",
"input": "Hello, welcome to Venice Voice.",
"response_format": "mp3",
"speed": 1.0,
"streaming": false
}' --output hello.mp3
Response is the raw audio (Content-Type matches response_format).
Request schema
| Field | Type | Default | Notes |
|---|---|---|---|
input |
string | — | Required. Up to 4096 characters. |
model |
enum | tts-kokoro (OpenAPI schema default) |
See model list below. tts-xai-v1 is the recommended frontier default; pick the model that fits your voice + language needs. |
voice |
enum | model-specific (e.g. eve for tts-xai-v1) |
Voice is model-specific — wrong combo = 400. See voice families. |
response_format |
mp3 / opus / aac / flac / wav / pcm |
mp3 |
pcm returns 24 kHz signed-16 LE for pipelines. |
speed |
number | 1.0 |
Range 0.25–4.0. |
streaming |
bool | false |
true → streamed sentence-by-sentence as audio continues to generate. |
language |
string | — | Optional hint. Accepted form depends on model (Qwen 3 = full names like English; xAI / ElevenLabs = ISO 639-1 like en; MiniMax = full names). Unsupported values silently ignored. |
prompt |
string, ≤ 500 | — | Emotion / style cue. Only for models with supportsPromptParam (Qwen 3 currently). Examples: "Very happy.", "Sad and slow.". |
temperature |
0–2 | — | Sampling temperature. Only for models with supportsTemperatureParam (Qwen 3, Orpheus, Chatterbox HD). |
top_p |
0–1 | — | Only Qwen 3 currently. |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 153 lines · 91 tokens per session scan A 87718de2fc6d
venice-audio-speech is a skill published in the GitHub repository 0xatd/cheaptokens-skills (2 stars, last pushed 13d ago), licensed MIT. It adds 91 tokens to every session and 2,461 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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