---
name: voice-ai-agents
description: >
Create, manage, and deploy Voice.ai conversational AI agents.
Use when the user wants to work with voice agents, list their agents, create new ones, or manage agent configurations.
---
# Voice.ai Agents
Build conversational AI voice agents with Voice.ai's Agent API.
## ✨ Features
- **Agent Management** - Create, update, and delete voice agents
- **One-Click Deploy** - Deploy agents for phone calls instantly
- **Knowledge Base** - RAG-powered agents with custom knowledge
- **MCP Integration** - Connect agents to external tools via MCP
- **Phone Numbers** - Manage inbound/outbound phone numbers
- **Analytics** - Track call history and agent performance
## 🚀 Quick Start
```bash
export VOICE_AI_API_KEY="your-api-key"
# Create an agent
node scripts/agent.js create --name "Support Bot" --prompt "You are a helpful assistant"
# List all agents
node scripts/agent.js list
# Deploy an agent
node scripts/agent.js deploy --id <agent_id>
```
## 🤖 Agent Configuration
| Parameter | Default | Description |
|------------------------|---------|--------------------------------------|
| llm_model | gemini-2.5-flash-lite | LLM model for responses |
| llm_temperature | 0.7 | Response creativity (0-2) |
| max_call_duration | 900 | Max call length in seconds |
| allow_interruptions | true | Let users interrupt agent |
| auto_noise_reduction | true | Filter background noise |
## 🎙️ TTS Voice Settings
| Parameter | Default | Description |
|-------------|---------|--------------------------------|
| voice_id | - | Voice ID for agent speech |
| model | auto | TTS model (auto-selected) |
| language | en | Language code |
| temperature | 1.0 | Voice expressiveness (0-2) |
| top_p | 0.8 | Sampling parameter (0-1) |
## 🌍 Supported Languages
`auto`, `en`, `ca`, `sv`, `es`, `fr`, `de`, `it`, `pt`, `pl`, `ru`, `nl`
## 💻 CLI Usage
```bash
# Create a new agent
node scripts/agent.js create --name "My Agent" --prompt "System prompt here" --greeting "Hello!"
# List all agents
node scripts/agent.js list
# Get agent details
node scripts/agent.js get --id <agent_id>
# Update an agent
node scripts/agent.js update --id <agent_id> --prompt "New prompt"
# Deploy an agent
node scripts/agent.js deploy --id <agent_id>
# Pause an agent
node scripts/agent.js pause --id <agent_id>
# Delete an agent
node scripts/agent.js delete --id <agent_id>
```
## 🔗 MCP Server Integration
Connect your agent to external tools:
```javascript
const agent = await client.createAgent({
name: "MCP Agent",
config: {
prompt: "You can use tools to help users",
mcp_servers: [{
name: "my-tools",
url: "https://my-server.com/mcp",
auth_type: "bearer_token",
auth_token: "secret"
}]
}
});
```
## 📚 Knowledge Base (RAG)
Add custom knowledge to your agent:
```bash
# Create agent with knowledge base
node scripts/agent.js create --name "FAQ Bot" --kb-id 123
```
## 🔗 Links
- [Voice Agents Guide](https://voice.ai/docs/guides/voice-agents/quickstart)
- [Agent API Reference](https://voice.ai/docs/api-reference/agent-management/create-agent)
---
Made with ❤️ by [Nick Gill](https://github.com/gizmoGremlin)AI advertising agents that automates ad campaigns across Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads. Creates campaigns, reads live performance data, researches keywords with real CPC data, optimizes budgets, and manages ads through natural language via the Adspirer MCP server. 103 tools across 4 ad platforms.
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