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local-openedai-tts本地 openai tts

Agent Skill

local-openedai-tts 用于处理音频、语音、转写和声音素材相关任务,适合在 OpenClaw 中需要整理音频流程、转写内容或生成配音素材时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

11,040

周安装

451

GitHub Stars

公开资料未说明

下载量

3,572
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:local-openedai-tts(本地 openai tts)
来源仓库:https://github.com/lotfinity/local-openedai-tts
安装命令:
openclaw skills install local-openedai-tts
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install local-openedai-tts

简介

配置本地 OpenAI 兼容 TTS 后端,实现语音克隆与自然对话合成。

  • 支持多音色选择与语调控制,适用于客服配音与有声读物制作。
  • 完全离线运行,保障音频内容安全与隐私合规。
  • 需部署 opensai-speech 等服务端组件并验证音频输出质量。
  • local-openedai-tts 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
local-openedai-tts
description
Configure an OpenClaw instance to use a local OpenAI-compatible TTS backend (for example openedai-speech) with cloned voices. Use when users ask to wire local TTS, set OpenClaw to use local speech synthesis, verify voice/model mapping, generate test clips, troubleshoot wrong voice/model selection, or expose the local TTS endpoint to LAN/Tailscale.

Local OpenAI-Compatible TTS for OpenClaw

Configure OpenClaw to send TTS requests to a local OpenAI-compatible endpoint, then verify end-to-end delivery.

Quick workflow

  1. Set OpenAI base URL to local endpoint.
  2. Configure OpenClaw messages TTS provider/model/voice.
  3. Verify TTS config with openclaw config get.
  4. Generate a direct API sample clip to confirm voice mapping.
  5. Send sample via channel plugin (Telegram/WhatsApp/etc.) if requested.
  6. If remote access is requested, expose the TTS service port (not necessarily the OpenClaw gateway).

1) Configure OpenClaw to use local TTS backend

Use CLI config commands only.

openclaw config set env.vars.OPENAI_BASE_URL http://127.0.0.1:19000/v1
openclaw config set messages.tts.provider openai
openclaw config set messages.tts.openai.model tts-1-hd
openclaw config set messages.tts.openai.voice me

Verify:

openclaw config get env.vars.OPENAI_BASE_URL
openclaw config get messages.tts

2) Verify cloned voice exists on backend

If using openedai-speech + XTTS voice mapping, cloned voices are commonly available only on tts-1-hd.

Check voice map inside container:

sudo docker exec openedai-speech sh -lc 'sed -n "1,220p" /app/config/voice_to_speaker.yaml'

If voice: me fails with KeyError, check whether:

  • wrong model is used (tts-1 instead of tts-1-hd), or
  • voice key missing from voice_to_speaker.yaml.

3) Generate a deterministic test clip (direct API)

Use direct POST to validate backend behavior independent of chat surface rendering.

curl -sS -X POST http://127.0.0.1:8880/v1/audio/speech \
  -H 'Content-Type: application/json' \
  -d '{
    "model":"tts-1-hd",
    "voice":"me",
    "input":"Quick cloned voice check.",
    "speed":1.25,
    "response_format":"mp3"
  }' \
  --output /tmp/clone-test.mp3

file /tmp/clone-test.mp3

Expected: MP3 audio file (not JSON error text).

4) Important limitation: speed pinning in OpenClaw config

messages.tts.openai.speed may be rejected by current OpenClaw schema. If so:

  • keep model/voice in OpenClaw config,
  • set speed per request when generating clips directly,
  • or enforce speed with a local proxy layer in front of backend.

Do not claim speed is globally pinned unless schema accepts it.

5) Expose service correctly (LAN/Tailscale)

Distinguish between:

  • OpenClaw gateway exposure (gateway.bind, gateway.tailscale.*), and
  • TTS backend exposure (container/service port such as 19000 or 8880).

If user asks to expose local TTS only, do not change gateway bind/mode unless explicitly requested.

For TTS backend reachability:

  1. Confirm listener/bind:
   ss -ltnp | grep ':19000\|:8880'
  1. If bound to 127.0.0.1, rebind service/container to 0.0.0.0 or tailnet interface.
  2. Restrict access via firewall/Tailscale ACLs.

6) Channel delivery troubleshooting

If webchat does not play voice attachments:

  • send as regular file attachment to supported channel (e.g., Telegram),
  • verify target id explicitly,
  • confirm local file still exists before sending.

If file missing, regenerate clip and resend.

Command safety

  • Use openclaw config set/get (never edit openclaw.json directly).
  • Avoid unrelated gateway changes when task is strictly TTS service exposure.
  • For external sends, use channel tools and explicit target ids.

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90%
按下载量换算3,215

安全审计

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可疑

ClawScan

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Static analysis

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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