agents

name	agents
description	Build voice AI agents with ElevenLabs. Use when creating voice assistants, customer service bots, interactive voice characters, or any real-time voice conversation experience.
license	MIT
compatibility	Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).
metadata	{"openclaw":{"requires":{"env":["ELEVENLABS_API_KEY"]},"primaryEnv":"ELEVENLABS_API_KEY"}}

ElevenLabs Agents Platform

Build voice AI agents with natural conversations, multiple LLM providers, custom tools, and easy web embedding.

Setup: See Installation Guide for CLI and SDK setup.

Quick Start with CLI

The ElevenLabs CLI is the recommended way to create and manage agents:

# Install CLI and authenticate
npm install -g @elevenlabs/cli
elevenlabs auth login

# Initialize project and create an agent
elevenlabs agents init
elevenlabs agents add "My Assistant" --template default

# Push to ElevenLabs platform
elevenlabs agents push

Available templates: default, minimal, voice-only, text-only, customer-service, assistant

Python

from elevenlabs.client import ElevenLabs

client = ElevenLabs()

agent = client.conversational_ai.agents.create(
    name="My Assistant",
    conversation_config={
        "agent": {"first_message": "Hello! How can I help?", "language": "en"},
        "tts": {"voice_id": "JBFqnCBsd6RMkjVDRZzb"}
    },
    prompt={
        "prompt": "You are a helpful assistant. Be concise and friendly.",
        "llm": "gpt-4o-mini",
        "temperature": 0.7
    }
)

JavaScript

import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
const client = new ElevenLabsClient();

const agent = await client.conversationalAi.agents.create({
  name: "My Assistant",
  conversationConfig: {
    agent: { firstMessage: "Hello! How can I help?", language: "en" },
    tts: { voiceId: "JBFqnCBsd6RMkjVDRZzb" }
  },
  prompt: { prompt: "You are a helpful assistant.", llm: "gpt-4o-mini", temperature: 0.7 }
});

cURL

curl -X POST "https://api.elevenlabs.io/v1/convai/agents/create" \
  -H "xi-api-key: $ELEVENLABS_API_KEY" -H "Content-Type: application/json" \
  -d '{"name": "My Assistant", "conversation_config": {"agent": {"first_message": "Hello!", "language": "en"}, "tts": {"voice_id": "JBFqnCBsd6RMkjVDRZzb"}}, "prompt": {"prompt": "You are helpful.", "llm": "gpt-4o-mini"}}'

Starting Conversations

Server-side (Python): Get signed URL for client connection:

signed_url = client.conversational_ai.conversations.get_signed_url(agent_id="your-agent-id")

Client-side (JavaScript):

import { Conversation } from "@elevenlabs/client";

const conversation = await Conversation.startSession({
  agentId: "your-agent-id",
  onMessage: (msg) => console.log("Agent:", msg.message),
  onUserTranscript: (t) => console.log("User:", t.message),
  onError: (e) => console.error(e)
});

React Hook:

import { useConversation } from "@elevenlabs/react";

const conversation = useConversation({ onMessage: (msg) => console.log(msg) });
// Get signed URL from backend, then:
await conversation.startSession({ signedUrl: token });

Configuration

Provider	Models
OpenAI	gpt-4o, gpt-4o-mini, gpt-4-turbo
Anthropic	claude-3-5-sonnet, claude-3-5-haiku
Google	gemini-1.5-pro, gemini-1.5-flash
Custom	custom-llm (bring your own endpoint)

Popular voices: JBFqnCBsd6RMkjVDRZzb (George), EXAVITQu4vr4xnSDxMaL (Sarah), onwK4e9ZLuTAKqWW03F9 (Daniel), XB0fDUnXU5powFXDhCwa (Charlotte)

Turn-taking modes: server_vad (auto-detect speech end) or turn_based (explicit signals)

See Agent Configuration for all options.

Tools

Extend agents with webhook, client, or system tools:

tools=[
    # Webhook: server-side API call
    {"type": "webhook", "name": "get_weather", "description": "Get weather",
     "webhook": {"url": "https://api.example.com/weather", "method": "POST"},
     "parameters": {"type": "object", "properties": {"location": {"type": "string"}}, "required": ["location"]}},
    # System: built-in capabilities
    {"type": "system", "name": "end_call"},
    {"type": "system", "name": "transfer_to_number", "phone_number": "[phone]"}
]

Client tools run in browser:

clientTools: {
  show_product: async ({ productId }) => {
    document.getElementById("product").src = `/products/${productId}`;
    return { success: true };
  }
}

See Client Tools Reference for complete documentation.

Widget Embedding

<elevenlabs-convai agent-id="your-agent-id"></elevenlabs-convai>
<script src="https://unpkg.com/@elevenlabs/convai-widget-embed" async type="text/javascript"></script>

Customize with attributes: avatar-image-url, action-text, start-call-text, end-call-text.

See Widget Embedding Reference for all options.

Outbound Calls

Make outbound phone calls using your agent via Twilio integration:

Python

response = client.conversational_ai.twilio.outbound_call(
    agent_id="your-agent-id",
    agent_phone_number_id="your-phone-number-id",
    to_number="[phone]"
)
print(f"Call initiated: {response.conversation_id}")

JavaScript

const response = await client.conversationalAi.twilio.outboundCall({
  agentId: "your-agent-id",
  agentPhoneNumberId: "your-phone-number-id",
  toNumber: "[phone]",
});

cURL

curl -X POST "https://api.elevenlabs.io/v1/convai/twilio/outbound-call" \
  -H "xi-api-key: $ELEVENLABS_API_KEY" -H "Content-Type: application/json" \
  -d '{"agent_id": "your-agent-id", "agent_phone_number_id": "your-phone-number-id", "to_number": "[phone]"}'

See Outbound Calls Reference for configuration overrides and dynamic variables.

Managing Agents

Using CLI (Recommended)

# List agents and check status
elevenlabs agents list
elevenlabs agents status

# Import agents from platform to local config
elevenlabs agents pull                      # Import all agents
elevenlabs agents pull --agent <agent-id>   # Import specific agent

# Push local changes to platform
elevenlabs agents push              # Upload configurations
elevenlabs agents push --dry-run    # Preview changes first

# Add tools to agents
elevenlabs agents tools add "Weather API" --type webhook --config-path ./weather.json

Project Structure

The CLI creates a project structure for managing agents:

your_project/
├── agents.json       # Agent definitions
├── tools.json        # Tool configurations
├── agent_configs/    # Individual agent configs
└── tool_configs/     # Individual tool configs

SDK Examples

# List
agents = client.conversational_ai.agents.list()

# Get
agent = client.conversational_ai.agents.get(agent_id="your-agent-id")

# Update (partial - only include fields to change)
client.conversational_ai.agents.update(agent_id="your-agent-id", name="New Name")
client.conversational_ai.agents.update(agent_id="your-agent-id",
    prompt={"prompt": "New instructions", "llm": "claude-3-5-sonnet"})

# Delete
client.conversational_ai.agents.delete(agent_id="your-agent-id")

See Agent Configuration for all configuration options and SDK examples.

Error Handling

try:
    agent = client.conversational_ai.agents.create(...)
except Exception as e:
    print(f"API error: {e}")

Common errors: 401 (invalid key), 404 (not found), 422 (invalid config), 429 (rate limit)

References

• Installation Guide - SDK setup and migration
• Agent Configuration - All config options and CRUD examples
• Client Tools - Webhook, client, and system tools
• Widget Embedding - Website integration
• Outbound Calls - Twilio phone call integration