# stepfun-asr

Converts audio in Chinese and English to text via StepFun's stepaudio-3-asr-max model. Use when switching from older models or encountering an API error saying the model is unsupported — usually the request is hitting the wrong endpoint.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 581 installs · ★ 1493
- Author: daymade
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/daymade/claude-code-skills/tree/HEAD/daymade-audio/stepfun-asr/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/stepfun-asr

## What it does

The skill addresses three common gotchas. First, stepaudio-3-asr-max lives on `/v1/audio/asr/sse` (SSE stream, JSON body), not `/v1/audio/transcriptions`. Requests sent to the wrong endpoint return an error identical to a nonexistent model, which is the top reason this skill exists. Second, "Plan" tier API keys (cheaper, text-only) cannot reach audio endpoints but fail silently. Always use a "Normal" tier key.

The `asr_transcribe.py` script takes an audio file, encodes it to base64, sends it to the API, and parses the SSE stream. Add `--json` to include processing time and per-word timestamps in a `segments` field. Files up to 30 minutes are processed in a single call with no chunking; for longer audio, split it with ffmpeg first. For speaker diarization (who said what), use the separate `asr_file.py` script — it requires a public audio URL, local files are not supported.

When you first install the skill, it will ask for a StepFun API key. Get one from https://platform.stepfun.com/ → API Keys and confirm it is "Normal" tier (not "Plan"). You can pass the key via the `$STEPFUN_API_KEY` environment variable or store it in `${CLAUDE_PLUGIN_DATA}/config.json`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add daymade/claude-code-skills --skill stepfun-asr -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/stepfun-asr/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/stepfun-asr/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add daymade/claude-code-skills --skill stepfun-asr -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/stepfun-asr/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add daymade/claude-code-skills --skill stepfun-asr -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/stepfun-asr/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install daymade/claude-code-skills stepfun-asr
```

2. **Manually: put the files in place**
- File: `.github/skills/stepfun-asr/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add daymade/claude-code-skills --skill stepfun-asr -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/daymade/claude-code-skills --path daymade-audio/stepfun-asr
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/stepfun-asr/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add daymade/claude-code-skills --skill stepfun-asr -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/daymade/claude-code-skills/tree/HEAD/daymade-audio/stepfun-asr/SKILL.md

## When to use it
- Transcribe long-form Chinese or English audio without splitting it into chunks
- Fix the error 'model not supported' when working with StepFun ASR
- Extract timestamps showing when each word was spoken in the transcript
- Identify speakers and their turn boundaries in a recorded conversation

## Example prompts
- Transcribe this Chinese recording: `python3 scripts/asr_transcribe.py recording.mp3`
- Get the transcript with processing metrics: `python3 scripts/asr_transcribe.py meeting.wav --json`
- Use an older model for compatibility: `python3 scripts/asr_transcribe.py audio.mp3 --model stepaudio-2.5-asr`

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 567c019a32f4c23a.

BEGIN THIRD-PARTY FILE 567c019a32f4c23a
```text
---
name: stepfun-asr
disable-model-invocation: true
description: >-
  Transcribes Chinese/English audio with StepFun's stepaudio-3-asr-max via its SSE endpoint (not
  /v1/audio/transcriptions) — one call handles long-form audio with no chunking. Use when migrating
  from step-asr/stepaudio-2.5-asr, or hitting the misleading "model not supported" error (actually
  wrong endpoint). Triggers on 阶跃 ASR, 语音识别. Not for TTS with the sibling model (use stepfun-tts).
---

# StepFun stepaudio-3-asr-max

Transcribe audio with StepFun's `stepaudio-3-asr-max` (StepAudio 3, released 2026-09-15, verified 2026-09-16; supersedes `stepaudio-2.5-asr` on the same endpoint). Long audio in one call, no chunking — but **only** if the request hits the right endpoint with the right body shape. The wrong endpoint returns an error that looks identical to "model doesn't exist", which is the #1 reason this skill exists.

> Companion: for TTS with `stepaudio-3-tts` (the sibling model), use the `stepfun-tts` skill — they share an API key but live on different endpoints with different body shapes.

## Why this skill exists — three traps that cost hours

1. **Wrong endpoint, wrong error**. `stepaudio-3-asr-max` does **not** live on `/v1/audio/transcriptions` (that endpoint serves the older `step-asr` family). It lives on `/v1/audio/asr/sse` — SSE streaming, JSON body, base64 audio. Sending it to the wrong endpoint returns `{"error":{"message":"model stepaudio-3-asr-max not supported"}}`, which is **identical in structure** to a genuinely nonexistent model name. People waste hours filing whitelist tickets.

2. **Plan key vs Normal key, silent failure**. StepFun's "Plan" subscription keys (cheap, text-only) cannot call audio endpoints, but the failure manifests as a 4xx with no auth-shaped error message. If your account has a Plan subscription, you need a separate "Normal" key from the same console.

3. **SSE error events are real**. Censorship can fire on the ASR side too (rarely). Don't assume only `transcript.text.delta` and `transcript.text.done` events arrive — handle `type: error` events in the stream or you'll silently drop them.

## Config and auth

API key resolves in this order (fail-fast, no defaults):

1. `$STEPFUN_API_KEY` environment variable
```
END THIRD-PARTY FILE 567c019a32f4c23a

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---
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