5c62e73cc6
- BaseUrlSelect: add cloud endpoint option, custom URL local state, always default to first option; new cliEndpointMatch helper; CLI tool cards refactor - API: new /v1/audio/voices and /v1/models/info; /v1/models filters disabled models, drop unused timestamp - initializeApp: guard tunnel/tailscale auto-resume to once-per-process - geminiHelper: ensureObjectType for schemas with properties but no type - skills: minor SKILL.md tweaks (chat/embeddings/image/stt/tts/web-*)
80 lines
2.9 KiB
Markdown
80 lines
2.9 KiB
Markdown
---
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name: 9router-stt
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description: Speech-to-text via 9Router /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
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---
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# 9Router — Speech-to-Text
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Requires `NINEROUTER_URL` (and `NINEROUTER_KEY` if auth enabled). See https://raw.githubusercontent.com/decolua/9router/refs/heads/master/skills/9router/SKILL.md for setup.
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## Discover
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```bash
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curl $NINEROUTER_URL/v1/models/stt | jq '.data[].id'
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# Per-model params (language, response_format, prompt, temperature support)
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curl "$NINEROUTER_URL/v1/models/info?id=openai/whisper-1"
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```
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`model` = STT model ID (e.g. `openai/whisper-1`, `groq/whisper-large-v3`, `deepgram/nova-3`, `gemini/gemini-2.5-flash`).
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## Endpoint
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`POST $NINEROUTER_URL/v1/audio/transcriptions` (OpenAI Whisper compatible, `multipart/form-data`)
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| Field | Required | Notes |
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|---|---|---|
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| `model` | yes | from `/v1/models/stt` |
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| `file` | yes | audio file (mp3, wav, m4a, webm, ogg, flac) |
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| `language` | no | ISO-639-1 (e.g. `en`, `vi`) |
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| `prompt` | no | hint text to guide transcription |
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| `response_format` | no | `json` (default) / `text` / `verbose_json` / `srt` / `vtt` |
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| `temperature` | no | 0–1 |
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## Examples
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```bash
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curl -X POST "$NINEROUTER_URL/v1/audio/transcriptions" \
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-H "Authorization: Bearer $NINEROUTER_KEY" \
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-F "model=openai/whisper-1" \
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-F "file=@audio.mp3" \
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-F "language=vi"
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```
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JS (Node):
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```js
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import { createReadStream } from "node:fs";
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const form = new FormData();
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form.append("model", "groq/whisper-large-v3-turbo");
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form.append("file", new Blob([await (await import("node:fs/promises")).readFile("audio.mp3")]), "audio.mp3");
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const r = await fetch(`${process.env.NINEROUTER_URL}/v1/audio/transcriptions`, {
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method: "POST",
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headers: { "Authorization": `Bearer ${process.env.NINEROUTER_KEY}` },
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body: form,
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});
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const { text } = await r.json();
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console.log(text);
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```
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## Response shape
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Default (`response_format=json`):
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```json
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{ "text": "Xin chào, đây là bản ghi âm." }
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```
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`verbose_json` adds `language`, `duration`, `segments[]` with timestamps.
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`srt` / `vtt` return subtitle text.
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## Provider quirks
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| Provider | `model` format | Notes |
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|---|---|---|
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| `openai` | `whisper-1`, `gpt-4o-transcribe`, `gpt-4o-mini-transcribe` | Native OpenAI shape |
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| `groq` | `whisper-large-v3`, `whisper-large-v3-turbo`, `distil-whisper-large-v3-en` | Fastest; OpenAI shape |
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| `gemini` | `gemini-2.5-flash`, `gemini-2.5-pro`, `gemini-2.5-flash-lite` | Server converts to `generateContent` with audio inline |
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| `deepgram` | `nova-3`, `nova-2`, `whisper-large` | Token auth; server adapts response |
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| `assemblyai` | `universal-3-pro`, `universal-2` | Async upload+poll handled server-side |
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| `nvidia` | `nvidia/parakeet-ctc-1.1b-asr` | NIM endpoint |
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| `huggingface` | `openai/whisper-large-v3`, `openai/whisper-small` | HF Inference API |
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