From vapi-voice-ai
Creates and configures Vapi voice AI assistants with models, voices, transcribers, tools, hooks, and settings for phone bots and conversational AI.
npx claudepluginhub vapiai/skills --plugin vapi-voice-aiThis skill uses the workspace's default tool permissions.
Create fully configured voice AI assistants using the Vapi API. Assistants combine a language model, voice, and transcriber to handle real-time phone and web conversations.
Generates curl commands for Telnyx AI Assistants API to create voice assistants with custom instructions, tools, knowledge bases, and OpenAI models.
Sets up and manages Vapi phone numbers for inbound/outbound voice AI calls. Imports from Twilio, Vonage, Telnyx; buys Vapi numbers; configures for assistants/squads.
Builds Retell AI voice agents using TypeScript SDK with custom LLM prompts, function calling to APIs, voice configs, and call handling settings.
Share bugs, ideas, or general feedback.
Create fully configured voice AI assistants using the Vapi API. Assistants combine a language model, voice, and transcriber to handle real-time phone and web conversations.
Setup: Ensure
VAPI_API_KEYis set. See thesetup-api-keyskill if needed.
curl -X POST https://api.vapi.ai/assistant \
-H "Authorization: Bearer $VAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "Support Assistant",
"firstMessage": "Hello! How can I help you today?",
"model": {
"provider": "openai",
"model": "gpt-4.1",
"messages": [
{
"role": "system",
"content": "You are a friendly phone support assistant. Keep responses concise and under 30 words."
}
]
},
"voice": {
"provider": "vapi",
"voiceId": "Elliot"
},
"transcriber": {
"provider": "deepgram",
"model": "nova-3",
"language": "en"
}
}'
import { VapiClient } from "@vapi-ai/server-sdk";
const vapi = new VapiClient({ token: process.env.VAPI_API_KEY! });
const assistant = await vapi.assistants.create({
name: "Support Assistant",
firstMessage: "Hello! How can I help you today?",
model: {
provider: "openai",
model: "gpt-4.1",
messages: [
{
role: "system",
content: "You are a friendly phone support assistant. Keep responses concise and under 30 words.",
},
],
},
voice: {
provider: "vapi",
voiceId: "Elliot",
},
transcriber: {
provider: "deepgram",
model: "nova-3",
language: "en",
},
});
console.log("Assistant created:", assistant.id);
import requests
import os
response = requests.post(
"https://api.vapi.ai/assistant",
headers={
"Authorization": f"Bearer {os.environ['VAPI_API_KEY']}",
"Content-Type": "application/json",
},
json={
"name": "Support Assistant",
"firstMessage": "Hello! How can I help you today?",
"model": {
"provider": "openai",
"model": "gpt-4.1",
"messages": [
{
"role": "system",
"content": "You are a friendly phone support assistant. Keep responses concise and under 30 words.",
}
],
},
"voice": {"provider": "vapi", "voiceId": "Elliot"},
"transcriber": {"provider": "deepgram", "model": "nova-3", "language": "en"},
},
)
assistant = response.json()
print(f"Assistant created: {assistant['id']}")
The language model powering the assistant's intelligence.
| Provider | Models | Notes |
|---|---|---|
openai | gpt-4o, gpt-4o-mini, gpt-4-turbo | Most popular, best tool calling |
anthropic | claude-3-5-sonnet-20241022, claude-3-5-haiku-20241022 | Strong reasoning |
google | gemini-1.5-pro, gemini-1.5-flash | Multimodal capable |
groq | llama-3.1-70b-versatile, llama-3.1-8b-instant | Ultra-fast inference |
deepinfra | meta-llama/Meta-Llama-3.1-70B-Instruct | Open-source models |
openrouter | Various | Access 100+ models |
perplexity | llama-3.1-sonar-large-128k-online | Web-connected |
together-ai | Various open-source | Cost-effective |
{
"model": {
"provider": "openai",
"model": "gpt-4.1",
"temperature": 0.7,
"maxTokens": 1000,
"messages": [
{
"role": "system",
"content": "Your system prompt here. Define the assistant's personality, rules, and behavior."
}
]
}
}
The text-to-speech voice for the assistant.
| Provider | Popular Voices | Notes |
|---|---|---|
vapi | Elliot, Lily, Rohan, Paola, Kian | Vapi's optimized voices, lowest latency |
11labs | Use voice IDs from ElevenLabs | High quality, many voices |
playht | Use voice IDs from PlayHT | Expressive voices |
cartesia | Use voice IDs from Cartesia | Fast, high quality |
openai | alloy, echo, fable, onyx, nova, shimmer | OpenAI TTS voices |
azure | Azure voice names | Enterprise-grade |
deepgram | aura-asteria-en, aura-luna-en | Low latency |
rime-ai | Use voice IDs from Rime | Specialized voices |
{
"voice": {
"provider": "vapi",
"voiceId": "Elliot"
}
}
The speech-to-text engine for understanding callers.
| Provider | Models | Notes |
|---|---|---|
deepgram | nova-3, nova-2 | Fastest, most accurate |
google | latest_long, latest_short | Google Cloud STT |
gladia | fast, accurate | European provider |
assembly-ai | best, nano | High accuracy |
speechmatics | Various | Enterprise STT |
talkscriber | Default | Specialized |
{
"transcriber": {
"provider": "deepgram",
"model": "nova-3",
"language": "en",
"keywords": ["Vapi:2", "AI:1"]
}
}
The keywords field boosts recognition of specific words (word:boost format, boost 1-10).
{
"firstMessage": "Hello! Thanks for calling Acme Corp. How can I help you today?",
"firstMessageMode": "assistant-speaks-first"
}
firstMessageMode options:
"assistant-speaks-first" — Assistant greets immediately (default)"assistant-waits-for-user" — Assistant waits for caller to speak first"assistant-speaks-first-with-model-generated-message" — LLM generates the greeting{
"backgroundSound": "office"
}
Options: "off", "office", "static"
Enable natural conversational acknowledgments ("uh-huh", "I see"):
{
"backgroundDenoisingEnabled": true,
"backchannelingEnabled": true
}
{
"hipaaEnabled": true
}
When enabled, Vapi won't store call recordings or transcripts.
Attach tools so the assistant can take actions during calls.
{
"model": {
"provider": "openai",
"model": "gpt-4.1",
"toolIds": ["tool-id-1", "tool-id-2"],
"messages": [{"role": "system", "content": "..."}]
}
}
{
"model": {
"provider": "openai",
"model": "gpt-4.1",
"tools": [
{
"type": "function",
"function": {
"name": "check_availability",
"description": "Check appointment availability for a given date",
"parameters": {
"type": "object",
"properties": {
"date": {
"type": "string",
"description": "Date in YYYY-MM-DD format"
}
},
"required": ["date"]
}
},
"server": {
"url": "https://your-server.com/api/tools"
}
}
],
"messages": [{"role": "system", "content": "..."}]
}
}
Automate actions when specific call events occur. See hooks reference for details.
{
"hooks": [
{
"on": "customer.speech.timeout",
"options": {
"timeoutSeconds": 10,
"triggerMaxCount": 3
},
"do": [
{
"type": "say",
"exact": "Are you still there?"
}
]
},
{
"on": "call.ending",
"filters": [
{
"type": "oneOf",
"key": "call.endedReason",
"oneOf": ["pipeline-error"]
}
],
"do": [
{
"type": "tool",
"tool": {
"type": "transferCall",
"destinations": [
{
"type": "number",
"number": "+1234567890"
}
]
}
}
]
}
]
}
curl https://api.vapi.ai/assistant \
-H "Authorization: Bearer $VAPI_API_KEY"
curl https://api.vapi.ai/assistant/{id} \
-H "Authorization: Bearer $VAPI_API_KEY"
curl -X PATCH https://api.vapi.ai/assistant/{id} \
-H "Authorization: Bearer $VAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"firstMessage": "Updated greeting!"
}'
curl -X DELETE https://api.vapi.ai/assistant/{id} \
-H "Authorization: Bearer $VAPI_API_KEY"
{
"name": "Customer Support",
"firstMessage": "Thank you for calling! How can I assist you today?",
"model": {
"provider": "openai",
"model": "gpt-4.1",
"messages": [
{
"role": "system",
"content": "You are a helpful customer support agent for Acme Corp. Be empathetic, concise, and solution-oriented. If you cannot resolve an issue, offer to transfer to a human agent. Keep responses under 30 words."
}
]
},
"voice": { "provider": "vapi", "voiceId": "Lily" },
"transcriber": { "provider": "deepgram", "model": "nova-3", "language": "en" },
"backchannelingEnabled": true
}
{
"name": "Appointment Scheduler",
"firstMessage": "Hi there! I can help you schedule an appointment. What date works best for you?",
"model": {
"provider": "openai",
"model": "gpt-4.1",
"messages": [
{
"role": "system",
"content": "You are an appointment scheduling assistant. Collect the customer's preferred date, time, and service type. Confirm details before booking. Be friendly and efficient."
}
],
"tools": [
{
"type": "function",
"function": {
"name": "book_appointment",
"description": "Book an appointment for the given date, time, and service",
"parameters": {
"type": "object",
"properties": {
"date": { "type": "string", "description": "YYYY-MM-DD" },
"time": { "type": "string", "description": "HH:MM in 24h format" },
"service": { "type": "string", "description": "Type of service" },
"name": { "type": "string", "description": "Customer name" }
},
"required": ["date", "time", "service", "name"]
}
},
"server": { "url": "https://your-server.com/api/book" }
}
]
},
"voice": { "provider": "vapi", "voiceId": "Paola" },
"transcriber": { "provider": "deepgram", "model": "nova-3", "language": "en" }
}
{
"name": "Multilingual Support",
"firstMessage": "Hello! How can I help you? / Hola! Como puedo ayudarte?",
"model": {
"provider": "openai",
"model": "gpt-4.1",
"messages": [
{
"role": "system",
"content": "You are a multilingual support assistant. Detect the caller's language and respond in the same language. You support English and Spanish."
}
]
},
"voice": { "provider": "vapi", "voiceId": "Paola" },
"transcriber": { "provider": "deepgram", "model": "nova-3", "language": "multi" }
}
This skills repository includes a Vapi documentation MCP server (vapi-docs) that gives your AI agent access to the full Vapi knowledge base. Use the searchDocs tool to look up anything beyond what this skill covers — advanced configuration, troubleshooting, SDK details, and more.
Auto-configured: If you cloned or installed these skills, the MCP server is already configured via .mcp.json (Claude Code), .cursor/mcp.json (Cursor), or .vscode/mcp.json (VS Code Copilot).
Manual setup: If your agent doesn't auto-detect the config, run:
claude mcp add vapi-docs -- npx -y mcp-remote https://docs.vapi.ai/_mcp/server
See the README for full setup instructions across all supported agents.