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Whisper Tailnet API

提供调用共享 Whisper 语音转文本服务的操作说明,包括健康检查、以原始二进制上传音频进行转写、计时示例,并说明 ext、language 查询参数以及返回的 text 与 model 结构。

lotfinity
lotfinity
热度 54.67
最近更新 2026-05-11 17:28:27
分类:效率依赖:代码执行 / 第三方 API应用场景:文件转换 / API 集成

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add whisper-tailnet-api
Metadata
name
whisper-tailnet-api
description
Consume the shared Whisper speech-to-text API over Tailnet at http://100.92.116.99:8765 using OpenAI-compatible audio transcription endpoint (/v1/audio/transcriptions). Use when an agent needs remote transcription checks, request examples, language hints, timing tests, or troubleshooting response/output.

Whisper STT API over Tailnet (OpenAI-compatible)

Use this guide to call the shared Whisper server.

Endpoint

  • Base URL: http://100.92.116.99:8765
  • Health: GET /health
  • Transcribe: POST /v1/audio/transcriptions (raw binary body)

Quick health check

curl -sS http://100.92.116.99:8765/health

Transcribe audio (recommended)

curl -sS -X POST \
  --data-binary @/path/to/audio.wav \
  "http://100.92.116.99:8765/v1/audio/transcriptions?ext=.wav"

Time the request

time curl -sS -X POST \
  --data-binary @/path/to/audio.wav \
  "http://100.92.116.99:8765/v1/audio/transcriptions?ext=.wav"

Notes

  • Prefer this OpenAI-compatible route over /transcribe on this host.
  • Pass file type via ext query (example: .wav, .mp3, .m4a).
  • Use language query when known to improve accuracy.

Expected response shape

{
  "text": "transcribed text...",
  "model": "turbo"
}