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lunara-voice月娜语音包

Bundle for Lunara Voice OpenClaw plugin with install and publish helpers

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 1.0.0
安全检测
已通过
663
下载量
免费
免费
2
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概述
安装方式
版本历史

lunara-voice

Lunara 语音包

此技能包包含在本地安装和运行 Lunara 语音插件所需的一切内容。

包含内容

  • - plugin/ — OpenClaw 插件源码的完整副本
  • scripts/install-plugin.sh — 本地安装辅助脚本
  • references/PUBLISH.md — 发布和 ClawHub 发布步骤

从此包安装插件

运行:

bash
bash {baseDir}/scripts/install-plugin.sh

然后重启网关。

配置插件

在 ~/.openclaw/openclaw.json 中设置插件配置:

json
{
plugins: {
entries: {
lunara-voice: {
enabled: true,
config: {
apiBaseUrl: https://your-server.herokuapp.com,
apiKey: lnrliveKEYID_SECRET,
userEmail: user@example.com
}
}
}
}
}

验证

bash
openclaw plugins list
openclaw plugins info lunara-voice
openclaw plugins doctor

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 lunara-voice-1776420068 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 lunara-voice-1776420068 技能

通过命令行安装

skillhub install lunara-voice-1776420068

下载

⬇ 下载 lunara-voice v1.0.0(免费)

文件大小: 20.81 KB | 发布时间: 2026-4-17 19:14

v1.0.0 最新 2026-4-17 19:14
LunaraVox — AI Phone Calls API for OpenClaw

LunaraVox is an AI calling infrastructure that allows OpenClaw agents to make and manage real phone calls through a dedicated API layer. The plugin connects OpenClaw with LunaraVox call execution, enabling AI-driven inbound and outbound conversations at scale while keeping business logic and control fully configurable.

The plugin acts as a bridge between OpenClaw and the LunaraVox calling engine. When an OpenClaw agent initiates a call, the request is sent through the LunaraVox API, where call behavior, greeting logic, and conversational instructions are applied before the call is executed.

This architecture separates decision-making from call execution:

OpenClaw handles reasoning and task logic.
LunaraVox handles telephony, voice interaction, and call processing.

This allows AI agents to perform real-world communication tasks without requiring complex telephony integrations inside OpenClaw itself.


Core Capabilities

AI Call Execution

OpenClaw agents can initiate phone calls directly through the LunaraVox API. The system injects predefined behavior prompts, greeting logic, and conversation goals before the call starts.

Supported scenarios include:
• outbound sales and qualification calls
• follow-ups and reminders
• appointment confirmations
• customer information collection
• automated campaign calls
• inbound call handling with AI assistants

The AI communicates naturally, processes responses in real time, and returns structured results back to the agent.



Call History & Analytics API

LunaraVox provides a dedicated history API optimized for LLM usage. Instead of loading full conversations, the system allows filtered access to historical call data, reducing token usage and improving response speed.

Available filters include:
• date ranges
• call duration limits
• call direction
• call status and outcomes
• tagged call categories
• assistant-specific history

This allows OpenClaw agents to analyze past calls, identify patterns, and make decisions based on structured historical data rather than raw transcripts.



Detailed Call Data

For each call, the agent can retrieve:
• structured call summary
• outcome and agreements reached
• optional transcript
• audio reference
• detailed metadata

Transcripts can be excluded when not required, minimizing token consumption.



PII Protection

The API automatically detects and masks sensitive information such as phone numbers, emails, and payment data. This ensures that stored call data remains safe for analytics and AI processing without exposing sensitive user information.



Export for Training and Optimization

Call history can be exported in formats suitable for LLM processing and model training workflows. Businesses can use successful conversations as datasets for improving AI behavior, optimizing scripts, and increasing conversion performance over time.

This enables iterative improvement based on real successful interactions rather than manual scripting alone.



Architecture Overview

The plugin follows a modular architecture:
1. OpenClaw decides when and why a call should be made.
2. LunaraVox receives the request via API.
3. Behavior prompts and call configuration are applied.
4. The AI executes the call through the connected SIP provider.
5. Results and analytics are returned to OpenClaw.

The AI agent itself does not perform telephony — LunaraVox provides the execution layer.

This separation allows independent scaling of AI logic and call infrastructure.



Requirements

To use the plugin, users must:
• register an account at lunaravox.com
• connect their own SIP provider
• purchase a call minutes package (minimum 300 minutes)
• install and configure the LunaraVox plugin in OpenClaw

SIP costs remain fully controlled by the user and are billed by their telecom provider.



Pricing

LunaraVox usage is billed at:

$4 per active AI hour

No long-term contracts or platform lock-in.


Call connection costs are paid separately to the user’s SIP provider.


Use Cases
• AI sales automation
• scalable outbound campaigns
• customer support automation
• lead qualification
• appointment scheduling
• high-volume communication workflows

LunaraVox is designed for businesses that need real phone communication at scale without scaling human operators.

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