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ANY WHISPER API
Transcribe audio via API Whisper with any compatible local servers.
安全通过
💬Prompt
技能说明
name: any-whisper-api description: Transcribe audio via API Whisper with any compatible local servers. homepage: https://platform.openai.com/docs/guides/speech-to-text metadata: {"clawdbot":{"emoji":"☁️","requires":{"bins":["curl"],"env":["WHISPER_API_KEY","WHISPER_API_HOST"]}}}
OpenAI Whisper API (curl)
Transcribe an audio file via OpenAI’s /v1/audio/transcriptions endpoint.
Quick start
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a
Defaults:
- Model:
whisper-1 - Output:
<input>.txt
Whisper.cpp example
/ai/whisper.cpp/build/bin/whisper-server -m /ai/models/whisper/ggml-large-v3-turbo-q8_0.bin --host 192.168.0.55 --port 5005 -sow --vad --vad-model /ai/models/whisper/ggml-silero-v6.2.0.bin --inference-path /v1/audio/transcriptions
Useful flags
{baseDir}/scripts/transcribe.sh /path/to/audio.ogg --model whisper-1 --out /tmp/transcript.txt
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --language en
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --prompt "Speaker names: Peter, Daniel"
{baseDir}/scripts/transcribe.sh /path/to/audio.m4a --json --out /tmp/transcript.json
API key
Set WHISPER_API_KEY and WHISPER_API_HOST, or configure it in ~/.clawdbot/clawdbot.json:
{
skills: {
"openai-whisper-api": {
apiKey: "WHISPER_API_KEY_HERE",
apiHost: "WHISPER_API_HOST_HERE"
}
}
}
如何使用「ANY WHISPER API」?
- 打开小龙虾AI(Web 或 iOS App)
- 点击上方「立即使用」按钮,或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「ANY WHISPER API」技能完成任务
- 结果即时呈现,支持继续对话优化