| 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":"🗣️","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
export VAPI_API_KEY="your-vapi-api-key"
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."}'
python3 {baseDir}/scripts/vapi_agent.py call '{"assistantId":"asst_xxx","phoneNumberId":"pn_xxx","customer":{"number":"+15551234567"}}'
python3 {baseDir}/scripts/vapi_agent.py list-agents
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
{
"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
python3 {baseDir}/scripts/vapi_agent.py list-phones
python3 {baseDir}/scripts/vapi_agent.py import-phone '{"provider":"twilio","number":"+15551234567","twilioAccountSid":"AC...","twilioAuthToken":"..."}'
5. Call Handling
Outbound calls:
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:
python3 {baseDir}/scripts/vapi_agent.py update-phone '{"id":"pn_xxx","assistantId":"asst_xxx"}'
Integration Patterns
Voice + CRM (GHL)
- Voice agent qualifies lead on call
- Use Vapi's
serverUrl webhook to capture call data
- On call end → create/update GHL contact
- Move opportunity to appropriate pipeline stage
- Schedule follow-up if needed
Voice + Calendar Booking
- Agent checks availability via calendar API
- Uses function calling to book appointment
- Confirms date/time verbally
- Sends SMS confirmation after call
Voice + Knowledge Base
Upload documents to Vapi's knowledge base for RAG:
python3 {baseDir}/scripts/vapi_agent.py create-kb '{"name":"Product FAQ","files":["faq.pdf"]}'
Available Commands
python3 {baseDir}/scripts/vapi_agent.py create-agent '{...}'
python3 {baseDir}/scripts/vapi_agent.py get-agent <id>
python3 {baseDir}/scripts/vapi_agent.py list-agents
python3 {baseDir}/scripts/vapi_agent.py update-agent <id> '{...}'
python3 {baseDir}/scripts/vapi_agent.py delete-agent <id>
python3 {baseDir}/scripts/vapi_agent.py call '{...}'
python3 {baseDir}/scripts/vapi_agent.py get-call <id>
python3 {baseDir}/scripts/vapi_agent.py list-calls
python3 {baseDir}/scripts/vapi_agent.py list-phones
python3 {baseDir}/scripts/vapi_agent.py import-phone '{...}'
python3 {baseDir}/scripts/vapi_agent.py update-phone '{...}'
Credits
Built by M. Abidi | agxntsix.ai
YouTube | GitHub
Part of the AgxntSix Skill Suite for OpenClaw agents.
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