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Asterisk AI语音智能体

基于 Python · 开源 AI 工具,GitHub 社区精选
英文名:AVA-AI-Voice-Agent-for-Asterisk
⭐ 1.0k Stars 🍴 214 Forks 💻 Python 📄 MIT 🏷 AI 8.2分
8.2AI 综合评分
语音AIAsteriskPBX电话交换工作流自动化
✦ AI Skill Hub 推荐

Asterisk AI语音智能体 是 AI Skill Hub 本期精选AI工具之一。已获得 1.0k 颗 GitHub Star,综合评分 8.2 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析
Asterisk AI语音智能体 是一款基于 Python 的开源工具,在 GitHub 上收获 1k+ Star,是语音AI、Asterisk、PBX、电话交换领域中的优质开源项目。开源工具的最大优势在于代码完全透明,你可以审计每一行代码的安全性,也可以根据自身需求进行二次开发和定制。

**为什么要使用开源工具而非商业 SaaS?**
对于个人开发者和有隐私需求的用户,本地部署的开源工具意味着数据不离本机,不受第三方服务商的数据政策约束。同时,开源工具通常没有使用次数限制和月度费用,一次安装即可长期使用,对于高频使用场景的总拥有成本(TCO)远低于订阅制商业工具。

**安装与环境准备**
Asterisk AI语音智能体 依赖 Python 运行环境。建议通过 pyenv(Python)或 nvm(Node.js)管理 Python 版本,避免全局环境污染。对于新手用户,推荐先创建虚拟环境(python -m venv venv && source venv/bin/activate),再安装依赖,这样即使出现问题也可以随时删除虚拟环境重新开始,不影响系统稳定性。

**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues(已关闭的问题),大多数常见问题都已有解答。遇到 Bug 时,提供 pip list 的输出、完整错误堆栈和最小可复现示例,能显著提高开发者响应速度。AI Skill Hub 将持续追踪 Asterisk AI语音智能体 的版本更新,及时通知重要功能变化。
📋 工具概览

Asterisk AI语音智能体 是一款基于 Python 开发的开源工具,专注于 语音AI、Asterisk、PBX 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

GitHub Stars
⭐ 1.0k
开发语言
Python
支持平台
Windows / macOS / Linux
维护状态
正常维护,社区驱动
开源协议
MIT
AI 综合评分
8.2 分
工具类型
AI工具
Forks
214
📖 中文文档
以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

Asterisk AI语音智能体 是一款基于 Python 开发的开源工具,专注于 语音AI、Asterisk、PBX 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

📌 核心特色
  • 开源免费,支持本地部署,数据完全自主可控
  • 活跃的 GitHub 开源社区,持续迭代更新
  • 提供详细文档和使用示例,新手友好
  • 支持自定义配置,灵活适配不同使用环境
  • 可作为基础组件集成进现有技术栈或进行二次开发
🎯 主要使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:pip 安装(推荐)
pip install ava-ai-voice-agent-for-asterisk

# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install ava-ai-voice-agent-for-asterisk

# 方式三:从源码安装(获取最新功能)
git clone https://github.com/hkjarral/AVA-AI-Voice-Agent-for-Asterisk
cd AVA-AI-Voice-Agent-for-Asterisk
pip install -e .

# 验证安装
python -c "import ava_ai_voice_agent_for_asterisk; print('安装成功')"
📋 安装步骤说明
  1. 访问 GitHub 仓库页面
  2. 按照 README 文档完成依赖安装
  3. 根据系统环境完成初始化配置
  4. 参考官方示例或文档开始使用
  5. 遇到问题可在 GitHub Issues 中查找解答
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 命令行使用
ava-ai-voice-agent-for-asterisk --help

# 基本用法
ava-ai-voice-agent-for-asterisk input_file -o output_file

# Python 代码中调用
import ava_ai_voice_agent_for_asterisk

# 示例
result = ava_ai_voice_agent_for_asterisk.process("input")
print(result)
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# ava-ai-voice-agent-for-asterisk 配置文件示例(config.yml)
app:
  name: "ava-ai-voice-agent-for-asterisk"
  debug: false
  log_level: "INFO"

# 运行时指定配置文件
ava-ai-voice-agent-for-asterisk --config config.yml

# 或通过环境变量配置
export AVA_AI_VOICE_AGENT_FOR_ASTERISK_API_KEY="your-key"
export AVA_AI_VOICE_AGENT_FOR_ASTERISK_OUTPUT_DIR="./output"
📑 README 深度解析 真实文档 完整度 87/100 含工作流图 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<picture> <source media="(prefers-color-scheme: dark)" srcset="assets/banner_dark_mode.png?v=9"> <source media="(prefers-color-scheme: light)" srcset="assets/banner_light_mode.png?v=9"> <img alt="Asterisk AI Voice Agent" src="assets/banner_light_mode.png?v=9" width="100%"> </picture>

Version License Python Docker Asterisk Ask DeepWiki Discord <br> <a href="https://www.producthunt.com/products/ava-ai-voice-agent-for-asterisk?embed=true&amp;utm_source=badge-featured&amp;utm_medium=badge&amp;utm_campaign=badge-ava-ai-voice-agent-for-asterisk" target="_blank" rel="noopener noreferrer"><img alt="AVA - AI Voice Agent for Asterisk - Open-source AI voice agent for any phone system | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=1120145&amp;theme=light&amp;t=1775845744279"></a>

The most powerful, flexible open-source AI voice agent for Asterisk/FreePBX. Featuring a modular pipeline architecture that lets you mix and match STT, LLM, and TTS providers, plus 6 production-ready golden baselines validated for enterprise deployment.

Quick StartFeaturesRoadmapDemoDocsCommunity

</div>

---

🎉 What's New in v6.5.2

<details open> <summary><b>Latest Updates</b></summary>

✨ Features

Technical Features

  • Tool Calling System: AI-powered actions (transfers, emails) work with any provider.
  • Agent CLI Tools: setup, check, rca, update, version commands (legacy aliases: init, doctor, troubleshoot).
  • Modular Pipeline System: Independent STT, LLM, and TTS provider selection.
  • Dual Transport Support: AudioSocket (default in config/ai-agent.yaml) and ExternalMedia RTP (both supported — see the transport matrix).
  • Streaming-First Downstream: Streaming playback when possible, with automatic fallback to file playback for robustness.
  • High-Performance Architecture: Separate ai_engine and local_ai_server containers.
  • Observability: Built-in Call History for per-call debugging + optional /metrics scraping.
  • State Management: SessionStore for centralized, typed call state.
  • Barge-In Support: Interrupt handling with configurable gating.

Start ai_engine (required for health checks)

docker compose -p asterisk-ai-voice-agent up -d --build ai_engine

📊 Requirements

Platform Requirements

RequirementDetails
**Architecture**x86_64 (AMD64) only
**OS**Linux with systemd
**Supported Distros**Ubuntu 20.04+, Debian 11+, RHEL/Rocky/Alma 8+, Fedora 38+, Sangoma Linux
Note: ARM64 (Apple Silicon, Raspberry Pi) is not currently supported. See Supported Platforms for the full compatibility matrix.

Minimum System Requirements

TypeCPURAMGPUDisk
**Cloud** (OpenAI/Deepgram)2+ cores4GBNone1GB
**Local Hybrid** (cloud LLM)4+ cores8GB+None2GB
**Fully Local** (CPU)4+ cores (2020+)8-16GBNone5GB
**Fully Local** (GPU)4+ cores8-16GBRTX 3060+10GB

Software Requirements

  • Docker + Docker Compose v2
  • Asterisk 18+ with ARI enabled
  • FreePBX (recommended) or vanilla Asterisk

4. Verify Installation

GPU users: If you have an NVIDIA GPU for local AI inference, see docs/LOCAL_ONLY_SETUP.md for the GPU compose overlay (docker-compose.gpu.yml) before building.

```bash

🔧 Advanced Setup (CLI)

For users who prefer the command line or need headless setup.

Option B: Manual Setup

```bash

Getting Started

🔧 Build Something New

AreaGuideTemplate
Full Agent Provider[Guide](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/docs/contributing/adding-full-agent-provider.md)[Template](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/examples/providers/template_full_agent.py)
Pipeline Adapter (STT/LLM/TTS)[Guide](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/docs/contributing/adding-pipeline-adapter.md)[Templates](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/tree/develop/examples/pipelines/)
Pre-Call Hook[Guide](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/docs/contributing/pre-call-hooks-development.md)[Template](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/examples/hooks/template_pre_call_hook.py)
In-Call Hook[Guide](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/docs/contributing/in-call-hooks-development.md)[Template](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/examples/hooks/template_in_call_hook.py)
Post-Call Hook[Guide](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/docs/contributing/post-call-hooks-development.md)[Template](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/examples/hooks/template_post_call_hook.py)

🚀 Quick Start

Get the Admin UI running in 2 minutes.

For a complete first successful call walkthrough (dialplan + transport selection + verification), see: - Installation Guide - Transport Compatibility

HTTP Tools (Pre/In/Post-Call) Example

```yaml

📖 Guides

GuideFor
**[Operator Contributor Guide](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/docs/contributing/OPERATOR_CONTRIBUTOR_GUIDE.md)**First-time contributors (no GitHub experience needed)
**[Contributing Guide](CONTRIBUTING.md)**Full contribution guidelines and workflow
**[Coding Guidelines](https://github.com/hkjarral/Asterisk-AI-Voice-Agent/blob/develop/docs/contributing/CODING_GUIDELINES.md)**Code standards for all contributions
**[Roadmap](docs/ROADMAP.md)**What to work on next (13+ beginner-friendly tasks)

🎥 Demo

Watch the demo

Run preflight with auto-fix (creates .env, generates JWT_SECRET)

sudo ./preflight.sh --apply-fixes ```

Important: Preflight creates your .env file and generates a secure JWT_SECRET. Always run this first!

Option A: Interactive CLI

./install.sh
agent setup
Note: Legacy commands agent init, agent doctor, and agent troubleshoot remain available as hidden aliases in CLI v6.4.0.

Configure environment

cp .env.example .env

Edit .env with your API keys

Configure Asterisk Dialplan

Add this to your FreePBX (extensions_custom.conf):

[from-ai-agent]
exten => s,1,NoOp(Asterisk AI Voice Agent)
 ; Optional per-call overrides:
 ; - AI_PROVIDER selects a provider/pipeline (otherwise uses default_provider from ai-agent.yaml)
 ; - AI_CONTEXT selects a context/persona (otherwise uses default context)
 same => n,Set(AI_PROVIDER=google_live)
 same => n,Set(AI_CONTEXT=sales-agent)
 same => n,Stasis(asterisk-ai-voice-agent)
 same => n,Hangup()
Notes: - AI_PROVIDER is optional. If unset, the engine follows normal precedence (context provider → default_provider). - AI_CONTEXT is optional. Use it to change greeting/persona without changing your default provider/pipeline. - See docs/FreePBX-Integration-Guide.md for channel variable precedence and examples.

6 Golden Baseline Configurations

1. OpenAI Realtime (Recommended for Quick Start) - Modern cloud AI with natural conversations (<2s response). - Config: config/ai-agent.golden-openai.yaml - Best for: Enterprise deployments, quick setup.

2. Deepgram Voice Agent (Enterprise Cloud) - Advanced Think stage for complex reasoning (<3s response). - Config: config/ai-agent.golden-deepgram.yaml - Best for: Deepgram ecosystem, advanced features.

3. Google Live API (Multimodal AI) - Gemini Live (Flash) with multimodal capabilities (<2s response). - Config: config/ai-agent.golden-google-live.yaml - Best for: Google ecosystem, advanced AI features.

4. ElevenLabs Agent (Premium Voice Quality) - ElevenLabs Conversational AI with premium voices (<2s response). - Config: config/ai-agent.golden-elevenlabs.yaml - Best for: Voice quality priority, natural conversations.

5. Local Hybrid (Privacy-Focused) - Local STT/TTS + Cloud LLM (OpenAI). Audio stays on-premises. - Config: config/ai-agent.golden-local-hybrid.yaml - Best for: Audio privacy, cost control, compliance.

6. Telnyx AI Inference (Cost-Effective Multi-Model) - Local STT/TTS + Telnyx LLM with 53+ models (GPT-4o, Claude, Llama). - OpenAI-compatible API with competitive pricing. - Config: config/ai-agent.golden-telnyx.yaml - Best for: Model flexibility, cost optimization, multi-provider access.

Fully Local (Optional)

AVA also supports a Fully Local mode (100% on-premises, no cloud APIs). Three topologies are supported:

TopologyLatencyBest For
**CPU-Only**5-15s/turnPrivacy, testing
**GPU (same box)**0.5-2s/turnProduction local
**Split-Server** (remote GPU)1-3s/turnPBX on VPS + GPU box

GPU setup uses docker-compose.gpu.yml overlay with CUDA-enabled llama.cpp. Community-validated: RTX 4090 achieves ~1.0s E2E.

⚙ Configuration

Three-File Configuration

  • config/ai-agent.yaml - Golden baseline configs (git-tracked, upstream-managed).
  • config/ai-agent.local.yaml - Operator overrides (git-ignored). Any keys here are deep-merged on top of the base file at startup; all Admin UI and CLI writes go here so upstream updates never conflict.
  • .env - Secrets and API keys (git-ignored).

Example .env:

OPENAI_API_KEY=sk-your-key-here
DEEPGRAM_API_KEY=your-key-here
ASTERISK_ARI_USERNAME=asterisk
ASTERISK_ARI_PASSWORD=your-password

Optional: Metrics (Bring Your Own Prometheus)

The engine exposes Prometheus-format metrics at http://<engine-host>:15000/metrics. Per-call debugging is handled via Admin UI → Call History.

---

Configuration & Operations

🏠 Self-Hosted LLM with Ollama (No API Key Required)

Run your own local LLM using Ollama - perfect for privacy-focused deployments:

```yaml

🩺 Agent CLI Tools

Production-ready CLI for operations and setup.

Installation:

curl -sSL https://raw.githubusercontent.com/hkjarral/Asterisk-AI-Voice-Agent/main/scripts/install-cli.sh | bash

Commands:

agent setup               # Interactive setup wizard (recommended)
agent check               # Standard diagnostics report (share this output when asking for help)
agent check --local       # Verify local AI server (STT, LLM, TTS) on this host
agent check --remote <ip> # Verify local AI server on a remote GPU machine
agent update              # Pull latest code + rebuild/restart as needed
agent rca --call <call_id> # Post-call RCA (use Call History to find call_id)
agent version             # Version information

---

Email Integration

  • Automatic Call Summaries: Admins receive full transcripts and metadata.
  • Caller-Requested Transcripts: "Email me a transcript of this call."
ToolDescriptionStatus
transferTransfer to extensions, queues, or ring groups
cancel_transferCancel in-progress transfer (during ring)
hangup_callEnd call gracefully with farewell message
leave_voicemailRoute caller to voicemail extension
send_email_summaryAuto-send call summaries to admins⚙️ Disabled by default
request_transcriptCaller-initiated email transcripts⚙️ Disabled by default
🎯 aiskill88 AI 点评 A 级 2026-05-25

融合Asterisk与现代AI技术的优秀项目。架构清晰,社区活跃,填补PBX智能化空白。生产级应用潜力大,维护持续。

⚡ 核心功能
👥 适合人群
AI 技术爱好者研究人员和学生开发者和工程师技术创业者
🎯 使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
⚖️ 优点与不足
✅ 优点
  • +MIT 协议,可免费商用
  • +完全开源免费,无授权费用
  • +本地部署,数据完全自主可控
  • +开发者社区支持,遇问题可查可问
⚠️ 不足
  • 安装和初始配置可能需要一定技术基础
  • 功能完整性通常不如成熟商业产品
  • 技术支持主要依赖开源社区,响应速度不稳定
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

🔗 相关工具推荐
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❓ 常见问题 FAQ
取决于底层AI引擎配置,默认支持多语言,需在配置文件指定中文模型。
💡 AI Skill Hub 点评

经综合评估,Asterisk AI语音智能体 在AI工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。

📚 深入学习 Asterisk AI语音智能体
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 AVA-AI-Voice-Agent-for-Asterisk
Topics 语音AIAsteriskPBX电话交换工作流自动化
GitHub https://github.com/hkjarral/AVA-AI-Voice-Agent-for-Asterisk
License MIT
语言 Python
🔗 原始来源
🐙 GitHub 仓库  https://github.com/hkjarral/AVA-AI-Voice-Agent-for-Asterisk

收录时间:2026-05-25 · 更新时间:2026-05-25 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。