MiniMax TTS Plus#

Multi-agent + multi-channel native voice message TTS skill.

Core Script#

All operations go through tts-xiaoye.sh (TTS generation + channel delivery).

Quick Start#

bash

bash tts-xiaoye.sh "Text to speak"

Multi-Channel Usage#

ChannelCommandFormatNotesTelegramtts-xiaoye.sh "Text"MP3Direct send, no transcodingFeishutts-xiaoye.sh --feishu "Text"OGG/OpusAuto-transcode to native voice bubbleGenerate onlytts-xiaoye.sh --generate-only "Text"MP3Generate file without sending

Send Feishu Native Voice Message (Full Flow)#

bash

OPUS=$(bash tts-xiaoye.sh --feishu "Feishu voice content" 2>/dev/null | python3 -c "import sys,json; print(json.load(sys.stdin)['audio_file'])")
openclaw message send --channel feishu --account personal --target <FeishuUserID> --media "$OPUS"

Multi-Agent Voice Configuration#

Each agent can choose a unique voice and write it into their SOUL.md Voice Identity section:

markdown

## Voice Identity
- TTS model: speech-2.8-hd
- TTS voice: Chinese (Mandarin)_Warm_Girl
- TTS script: scripts/tts-xiaoye.sh

Recommended voices (verified):

Voice IDStyleUse CaseChinese (Mandarin)_Warm_GirlWarm GirlPersonal Assistantfemale-shaonvSweet GirlDefault / Generalfemale-tianmeiSweet FemaleGentle stylemale-qn-qingseYouthful MaleMale voice scenarioChinese (Mandarin)_Sweet_LadySweet LadyFormal场合

List Available Voices#

bash

python3 tts-xiaoye.sh --list-voices
# or directly:
python3 scripts/tts.py --list-voices

This calls the MiniMax API and prints all available voices organized by category (System Voices, Cloned Voices, Generated Voices).

Available Models#

ModelCharacteristicspeech-2.8-hdHighest quality (recommended)speech-2.8-turboFaster, slightly lower quality

Full Parameters#

bash

tts-xiaoye.sh --text "Text" [--voice VoiceID] [--model Model] [--caption Caption]

Technical Notes#

• TTS outputs MP3 natively. Telegram sends directly via Bot API sendVoice (MP3 supported natively).
• Feishu native voice messages require OGG/Opus format. FFmpeg handles conversion (~25ms per audio, negligible).
• FFmpeg installation: brew install ffmpeg (Linuxbrew/macOS) or apt install ffmpeg (Linux).

Setup#

1. Copy setup.txt to .env and fill in your credentials:

bash

cp skills/minimax-tts-cn/setup.txt skills/minimax-tts-cn/.env
# Then edit .env with your real values

1. The script loads credentials from .env at runtime — no hardcoded tokens in scripts.

Required env vars:

VariableRequiredDescriptionMINIMAX_API_KEY✅ YesMiniMax API secret key (from platform.minimax.io)TELEGRAM_BOT_TOKEN❌ NoTelegram bot token — only needed for sendingTELEGRAM_TARGET❌ NoTelegram chat ID — only needed together with bot token

⚠️ Security note: Credentials are loaded from .env only — no tokens are hardcoded in shell scripts. The .env file is gitignored and never published.

💡 API endpoint: The TTS API uses https://api.minimaxi.com (MiniMax's official API server), which is separate from the developer portal at platform.minimax.io.

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MiniMax TTS Plus（多语言增强版）#

多 Agent + 多渠道原生语音条增强版 TTS 技能。

核心脚本#

所有操作通过 tts-xiaoye.sh 完成（TTS 生成 + 渠道发送）。

快速使用#

bash

bash tts-xiaoye.sh "要转语音的文字"

多渠道用法#

渠道命令格式说明Telegramtts-xiaoye.sh "文字"MP3直接发送语音条，无需转码飞书tts-xiaoye.sh --feishu "文字"OGG/Opus自动转码，发原生语音条仅生成tts-xiaoye.sh --generate-only "文字"MP3只生成文件，不发送

发送飞书原生语音条（完整流程）#

bash

OPUS=$(bash tts-xiaoye.sh --feishu "飞书语音内容" 2>/dev/null | python3 -c "import sys,json; print(json.load(sys.stdin)['audio_file'])")
openclaw message send --channel feishu --account personal --target <飞书用户ID> --media "$OPUS"

多 Agent 音色配置#

每个 Agent 可以选择不同音色，写入各自的 SOUL.md 的 Voice Identity 节即可：

markdown

## Voice Identity
- TTS model: speech-2.8-hd
- TTS voice: Chinese (Mandarin)_Warm_Girl
- TTS script: scripts/tts-xiaoye.sh

推荐音色（已验证）：

音色ID风格适用场景Chinese (Mandarin)_Warm_Girl温暖少女个人助理female-shaonv甜美少女默认/通用female-tianmei甜美女性温柔风格male-qn-qingse青涩青年男男声场景Chinese (Mandarin)_Sweet_Lady甜美女声正式场合

可用模型#

模型特点speech-2.8-hd最高质量（推荐）speech-2.8-turbo快速，质量略低

完整参数#

bash

tts-xiaoye.sh --text "文字" [--voice 音色ID] [--model 模型] [--caption 文字]

技术说明#

• TTS 原生输出 MP3，Telegram 直接发送（Bot API sendVoice 支持 MP3）
• 飞书原生语音条需要 OGG/Opus 格式，通过 FFmpeg 转换（耗时约 25ms/音频，可忽略）
• FFmpeg 安装方式：
  • macOS/Linuxbrew: brew install ffmpeg
  • Ubuntu/Debian: apt install ffmpeg