Ax is a TypeScript-first programming framework for building applications with large language models through typed generation, agents, workflows, and optimization tools. It is intended for developers who want one model for LLM programs across TypeScript, Python, Java, C++, Go, Rust, and other runtimes.
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 ax-llm/ax --skill ax-audiogit clone --depth 1 https://github.com/ax-llm/axWrote 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/ax-llm/ax/ax-audio)<a href="https://agentmods.dev/skills/ax-llm/ax/ax-audio"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-audio.svg" alt="Measured on agentmods" 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 | $0.00085 | $0.02667 |
| Opus 5 | $0.00043 | $0.01333 |
| Sonnet 5 | $0.00017 | $0.00533 |
| Haiku 4.5 | $0.00009 | $0.00267 |
Grade A, and why
ax-audio scanned grade A with 0 findings 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 3d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- ax-audio — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio I/O Codegen Rules (@ax-llm/ax)
Use this skill for audio in Ax. Pick the smallest audio surface that matches the job:
- Use
ai.transcribe(...)for batch speech-to-text. - Use
ai.speak(...)for batch text-to-speech. - Use
speech:audiosignature outputs for structured programs that should return synthesized audio artifacts. - Use
.chat()audio config for conversational or realtime audio turns.
Core Rules
- Input
:audiois an audio input value:{ data, format?, mimeType?, sampleRate?, channels? }. - Output
:audiois a scripted audio artifact. The model returns plain text for that field; Ax synthesizes it after structured output parsing. - Output audio JSON schema is model-facing
string, not a binary object. - Agents transcribe input audio fields before planner/executor/responder stages by default, so agent stages see text instead of base64 audio.
- Realtime and conversational audio still use
.chat()andmodelConfig.audio. - Batch signature audio artifacts use forward-time
speechoptions, notmodelConfig.audio.
Direct Batch APIs
import { ai } from '@ax-llm/ax';
const llm = ai({ name: 'openai', apiKey: process.env.OPENAI_APIKEY! });
const transcript = await llm.transcribe({
audio: { data: base64Wav, format: 'wav' },
model: 'gpt-4o-mini-transcribe',
language: 'en',
prompt: 'Product support call',
});
const speech = await llm.speak({
text: transcript.text,
model: 'gpt-4o-mini-tts',
voice: 'alloy',
format: 'mp3',
});
console.log(transcript.text);
console.log(speech.data);
console.log(speech.transcript);
Providers without the requested batch audio capability throw AxMediaNotSupportedError.
Signature Audio Artifacts
import { ai, ax } from '@ax-llm/ax';
const llm = ai({ name: 'openai', apiKey: process.env.OPENAI_APIKEY! });
const say = ax('question:string -> speech:audio, summary:string');
const result = await say.forward(
llm,
{ question: 'Explain retries in one sentence.' },
{
speech: {
speak: { voice: 'alloy', format: 'mp3' },
fields: {
speech: { voice: 'alloy' },
},
},
}
);
console.log(result.summary);
console.log(result.speech.data);
console.log(result.speech.mimeType);
console.log(result.speech.transcript);
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.
- 3d ago First seen · 374 lines · 85 tokens per session scan A 608b8cd8297d
ax-audio is a skill published in the GitHub repository ax-llm/ax (2,892 stars, last pushed yesterday), licensed Apache-2.0. It adds 85 tokens to every session and 2,667 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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