home / skills / openclaw / skills / voice-agent-pro
This skill helps you build, configure, and manage Voice AI agents across Vapi, Bland.ai, and Retell with outbound calling and transcripts.
npx playbooks add skill openclaw/skills --skill voice-agent-proReview the files below or copy the command above to add this skill to your agents.
---
name: voice-agent-builder
description: Build and manage Voice AI agents using Vapi, Bland.ai, or Retell. Create agents, configure voices, set prompts, make outbound calls, and retrieve transcripts. Includes platform comparison guide. Use when building phone agents, IVR systems, or voice-first customer service.
homepage: https://www.agxntsix.ai
license: MIT
compatibility: Python 3.10+, Vapi API key
metadata: {"openclaw": {"emoji": "\ud83d\udde3\ufe0f", "requires": {"env": ["VAPI_API_KEY"]}, "primaryEnv": "VAPI_API_KEY", "homepage": "https://www.agxntsix.ai"}}
---
# Voice Agent Builder
Build, configure, and manage Voice AI agents. Supports **Vapi** (primary), **Bland.ai**, and **Retell** platforms.
## Quick Start
```bash
export VAPI_API_KEY="your-vapi-api-key"
# Create a voice agent
python3 {baseDir}/scripts/vapi_agent.py create-agent '{"name":"Sales Agent","firstMessage":"Hi! How can I help you today?","systemPrompt":"You are a helpful sales assistant for Acme Corp."}'
# Make an outbound call
python3 {baseDir}/scripts/vapi_agent.py call '{"assistantId":"asst_xxx","phoneNumberId":"pn_xxx","customer":{"number":"+15551234567"}}'
# List agents
python3 {baseDir}/scripts/vapi_agent.py list-agents
# List calls
python3 {baseDir}/scripts/vapi_agent.py list-calls
```
## Platform Comparison
| Feature | Vapi | Bland.ai | Retell |
|---------|------|----------|--------|
| **Best For** | Custom agents, dev-friendly | Simple outbound campaigns | Enterprise, low latency |
| **Latency** | ~800ms | ~500ms | ~500ms |
| **Languages** | 100+ | 30+ | 30+ |
| **Custom LLM** | ✅ Any OpenAI-compatible | ✅ Limited | ✅ Via API |
| **Phone Numbers** | Buy/import | Buy/import | Buy/import |
| **Pricing** | $0.05/min + provider costs | $0.09/min all-in | $0.07-0.15/min |
| **WebSocket** | ✅ | ❌ | ✅ |
| **Knowledge Base** | ✅ Built-in | ✅ | ✅ |
| **Transfers** | ✅ | ✅ | ✅ |
**Recommendation:** Start with **Vapi** — most flexible, best docs, largest community. Use **Bland** for simple high-volume outbound. Use **Retell** for enterprise low-latency needs.
See `{baseDir}/scripts/voice_comparison.md` for detailed breakdown.
## Agent Creation Workflow
### 1. Choose a Voice
Vapi supports multiple TTS providers:
- **ElevenLabs** — Best quality, most natural (recommended)
- **PlayHT** — Good quality, lower cost
- **Deepgram** — Fast, good for real-time
- **Azure** — Enterprise, many languages
### 2. Configure the Agent
```json
{
"name": "Appointment Setter",
"firstMessage": "Hi! This is Sarah from Dr. Smith's office. I'm calling to help you schedule your appointment.",
"systemPrompt": "You are Sarah, a friendly appointment scheduler...",
"voice": {
"provider": "11labs",
"voiceId": "21m00Tcm4TlvDq8ikWAM"
},
"model": {
"provider": "openai",
"model": "gpt-4o",
"temperature": 0.7
},
"endCallFunctionEnabled": true,
"maxDurationSeconds": 300,
"silenceTimeoutSeconds": 30
}
```
### 3. Prompt Engineering for Voice
Voice prompts differ from text. Key principles:
- **Keep responses SHORT** — 1-2 sentences max per turn
- **Be conversational** — use filler words naturally ("Sure thing!", "Got it!")
- **Handle interruptions** — voice agents get cut off, design for it
- **Confirm understanding** — repeat back key info (names, numbers, dates)
- **Include fallback** — "I didn't catch that, could you repeat?"
### 4. Phone Number Setup
```bash
# List available phone numbers
python3 {baseDir}/scripts/vapi_agent.py list-phones
# Buy a number (via Vapi dashboard or API)
# Import existing number (Twilio, Vonage)
python3 {baseDir}/scripts/vapi_agent.py import-phone '{"provider":"twilio","number":"+15551234567","twilioAccountSid":"AC...","twilioAuthToken":"..."}'
```
### 5. Call Handling
**Outbound calls:**
```bash
python3 {baseDir}/scripts/vapi_agent.py call '{"assistantId":"asst_xxx","phoneNumberId":"pn_xxx","customer":{"number":"+15551234567"}}'
```
**Inbound:** Assign agent to phone number in Vapi dashboard, or via API:
```bash
python3 {baseDir}/scripts/vapi_agent.py update-phone '{"id":"pn_xxx","assistantId":"asst_xxx"}'
```
## Integration Patterns
### Voice + CRM (GHL)
1. Voice agent qualifies lead on call
2. Use Vapi's `serverUrl` webhook to capture call data
3. On call end → create/update GHL contact
4. Move opportunity to appropriate pipeline stage
5. Schedule follow-up if needed
### Voice + Calendar Booking
1. Agent checks availability via calendar API
2. Uses function calling to book appointment
3. Confirms date/time verbally
4. Sends SMS confirmation after call
### Voice + Knowledge Base
Upload documents to Vapi's knowledge base for RAG:
```bash
python3 {baseDir}/scripts/vapi_agent.py create-kb '{"name":"Product FAQ","files":["faq.pdf"]}'
```
## Available Commands
```bash
python3 {baseDir}/scripts/vapi_agent.py create-agent '{...}' # Create new agent
python3 {baseDir}/scripts/vapi_agent.py get-agent <id> # Get agent details
python3 {baseDir}/scripts/vapi_agent.py list-agents # List all agents
python3 {baseDir}/scripts/vapi_agent.py update-agent <id> '{...}' # Update agent
python3 {baseDir}/scripts/vapi_agent.py delete-agent <id> # Delete agent
python3 {baseDir}/scripts/vapi_agent.py call '{...}' # Make outbound call
python3 {baseDir}/scripts/vapi_agent.py get-call <id> # Get call details
python3 {baseDir}/scripts/vapi_agent.py list-calls # List all calls
python3 {baseDir}/scripts/vapi_agent.py list-phones # List phone numbers
python3 {baseDir}/scripts/vapi_agent.py import-phone '{...}' # Import phone number
python3 {baseDir}/scripts/vapi_agent.py update-phone '{...}' # Update phone config
```
## Credits
Built by [M. Abidi](https://www.linkedin.com/in/mohammad-ali-abidi) | [agxntsix.ai](https://www.agxntsix.ai)
[YouTube](https://youtube.com/@aiwithabidi) | [GitHub](https://github.com/aiwithabidi)
Part of the **AgxntSix Skill Suite** for OpenClaw agents.
📅 **Need help setting up OpenClaw for your business?** [Book a free consultation](https://cal.com/agxntsix/abidi-openclaw)
This skill builds, configures, and manages voice AI agents across Vapi, Bland.ai, and Retell. It provides scripts and workflows to create agents, select TTS voices, run outbound calls, route inbound calls, and retrieve call transcripts. Includes a concise platform comparison and integration patterns for CRM, calendar, and knowledge bases.
The skill exposes CLI scripts (Python) to create agents, configure voice/model settings, buy or import phone numbers, and trigger outbound calls. It uses platform APIs (Vapi primary, Bland.ai, Retell supported) to control agents and to fetch call records and transcripts. Webhooks and function-calling hooks enable integrations with CRM, calendar, and knowledge-base systems.
Which platform should I start with?
Start with Vapi for flexibility, OpenAI-compatible models, and broad feature set. Use Bland.ai for simple high-volume outbound campaigns and Retell for enterprise low-latency needs.
How do I handle phone numbers?
List, buy, or import numbers via the CLI. You can import Twilio or other provider numbers and assign agents to handle inbound calls via API or dashboard.
How do I get transcripts and call data?
Use the provided CLI to list calls and fetch call details. Configure the platform webhook (serverUrl) to receive call events, transcripts, and end-call payloads for downstream processing.