npm install @elevenlabs/react@0.9.1        # React SDK
npm install @elevenlabs/client@0.9.1       # JavaScript SDK
npm install @elevenlabs/react-native@0.5.2 # React Native SDK
npm install @elevenlabs/elevenlabs-js@2.21.0 # Base SDK
npm install -g @elevenlabs/agents-cli@0.2.0  # CLI

npm uninstall @11labs/react @11labs/client

npm install @elevenlabs/react zod

import { useConversation } from '@elevenlabs/react';
import { z } from 'zod';

export default function VoiceChat() {
  const { startConversation, stopConversation, status } = useConversation({
    // Public agent (no API key needed)
    agentId: 'your-agent-id',

    // OR private agent (requires API key)
    apiKey: process.env.NEXT_PUBLIC_ELEVENLABS_API_KEY,

    // OR signed URL (server-generated, most secure)
    signedUrl: '/api/elevenlabs/auth',

    // Client-side tools (browser functions)
    clientTools: {
      updateCart: {
        description: "Update the shopping cart",
        parameters: z.object({
          item: z.string(),
          quantity: z.number()
        }),
        handler: async ({ item, quantity }) => {
          console.log('Updating cart:', item, quantity);
          return { success: true };
        }
      }
    },

    // Event handlers
    onConnect: () => console.log('Connected'),
    onDisconnect: () => console.log('Disconnected'),
    onEvent: (event) => {
      switch (event.type) {
        case 'transcript':
          console.log('User said:', event.data.text);
          break;
        case 'agent_response':
          console.log('Agent replied:', event.data.text);
          break;
      }
    },

    // Regional compliance (GDPR, data residency)
    serverLocation: 'us' // 'us' | 'global' | 'eu-residency' | 'in-residency'
  });

  return (
    <div>
      <button onClick={startConversation}>Start Conversation</button>
      <button onClick={stopConversation}>Stop</button>
      <p>Status: {status}</p>
    </div>
  );
}

npm install -g @elevenlabs/agents-cli
# or
pnpm install -g @elevenlabs/agents-cli

# 1. Authenticate
elevenlabs auth login

# 2. Initialize project (creates agents.json, tools.json, tests.json)
elevenlabs agents init

# 3. Create agent from template
elevenlabs agents add "Support Agent" --template customer-service

# 4. Configure in agent_configs/support-agent.json

# 5. Push to platform
elevenlabs agents push --env dev

# 6. Test
elevenlabs agents test "Support Agent"

# 7. Deploy to production
elevenlabs agents push --env prod

your_project/
├── agents.json              # Agent registry
├── tools.json               # Tool configurations
├── tests.json               # Test configurations
├── agent_configs/           # Individual agent files
├── tool_configs/            # Tool configuration files
└── test_configs/            # Test configuration files

npm install elevenlabs

import { ElevenLabsClient } from 'elevenlabs';

const client = new ElevenLabsClient({
  apiKey: process.env.ELEVENLABS_API_KEY
});

// Create agent
const agent = await client.agents.create({
  name: 'Support Bot',
  conversation_config: {
    agent: {
      prompt: {
        prompt: "You are a helpful customer support agent.",
        llm: "gpt-4o",
        temperature: 0.7
      },
      first_message: "Hello! How can I help you today?",
      language: "en"
    },
    tts: {
      model_id: "eleven_turbo_v2_5",
      voice_id: "your-voice-id"
    }
  }
});

console.log('Agent created:', agent.agent_id);

You are Alex, a friendly and knowledgeable customer support specialist at TechCorp.
You have 5 years of experience helping customers solve technical issues.
You're patient, empathetic, and always maintain a positive attitude.

You're speaking with customers over the phone. Communication is voice-only.
Customers may have background noise or poor connection quality.
Speak clearly and occasionally use thoughtful pauses for emphasis.

Tone: Professional yet warm. Use contractions ("I'm" instead of "I am") to sound natural.
Avoid jargon unless the customer uses it first. Keep responses concise (2-3 sentences max).
Use encouraging phrases like "I'll be happy to help with that" and "Let's get this sorted for you."

Primary Goal: Resolve customer technical issues on the first call.
Secondary Goals:
- Verify customer identity securely
- Document issue details accurately
- Offer proactive solutions
- End calls with confirmation that the issue is resolved

Success Criteria: Customer verbally confirms their issue is resolved.

Guardrails:
- Never provide medical, legal, or financial advice
- Do not share confidential company information
- If asked about competitors, politely redirect to TechCorp's offerings
- Escalate to a human supervisor if customer becomes abusive
- Never make promises about refunds or credits without verification

Available Tools:
1. lookup_order(order_id) - Fetch order details from database. Use when customer mentions an order number.
2. transfer_to_supervisor() - Escalate to human agent. Use when issue requires manager approval.
3. send_password_reset(email) - Trigger password reset email. Use when customer can't access account.

Always explain to the customer what you're doing before calling a tool.

{
  "agent": {
    "prompt": {
      "prompt": "Personality:\nYou are Alex, a friendly customer support specialist.\n\nEnvironment:\nYou're speaking with customers over the phone.\n\nTone:\nProfessional yet warm. Keep responses concise.\n\nGoal:\nResolve technical issues on the first call.\n\nGuardrails:\n- Never provide medical/legal/financial advice\n- Escalate abusive customers\n\nTools:\n- lookup_order(order_id) - Fetch order details\n- transfer_to_supervisor() - Escalate to human",
      "llm": "gpt-4o",
      "temperature": 0.7,
      "max_tokens": 500
    }
  }
}

{
  "conversation_config": {
    "turn": {
      "mode": "patient" // "eager" | "normal" | "patient"
    }
  }
}

{
  "workflow": {
    "nodes": [
      {
        "id": "node_1",
        "type": "subagent",
        "config": {
          "system_prompt": "You are now a technical support specialist. Ask detailed diagnostic questions.",
          "turn_eagerness": "patient",
          "voice_id": "tech_support_voice_id"
        }
      },
      {
        "id": "node_2",
        "type": "tool",
        "tool_name": "transfer_to_human"
      }
    ],
    "edges": [
      {
        "from": "node_1",
        "to": "node_2",
        "condition": "user_requests_escalation"
      }
    ]
  }
}

{{system__agent_id}}         // Current agent ID
{{system__conversation_id}}  // Conversation ID
{{system__caller_id}}        // Phone number (telephony only)
{{system__called_number}}    // Called number (telephony only)
{{system__call_duration_secs}} // Call duration
{{system__time_utc}}         // Current UTC time
{{system__call_sid}}         // Twilio call SID (Twilio only)

// Provide when starting conversation
const conversation = await client.conversations.create({
  agent_id: "agent_123",
  dynamic_variables: {
    user_name: "John",
    account_tier: "premium",
    order_id: "ORD-12345"
  }
});

{{secret__stripe_api_key}}
{{secret__database_password}}

{
  "agent": {
    "prompt": {
      "prompt": "You are helping {{user_name}}, a {{account_tier}} customer."
    },
    "first_message": "Hello {{user_name}}! I see you're calling about order {{order_id}}."
  }
}

const { startConversation } = useConversation({
  agentId: 'your-public-agent-id' // Anyone can use
});

const { startConversation } = useConversation({
  agentId: 'your-private-agent-id',
  apiKey: process.env.NEXT_PUBLIC_ELEVENLABS_API_KEY
});

// Server-side (Next.js API route)
import { ElevenLabsClient } from 'elevenlabs';

export async function POST(req: Request) {
  const client = new ElevenLabsClient({
    apiKey: process.env.ELEVENLABS_API_KEY // Server-side only
  });

  const signedUrl = await client.convai.getSignedUrl({
    agent_id: 'your-agent-id'
  });

  return Response.json({ signedUrl });
}

// Client-side
const { startConversation } = useConversation({
  agentId: 'your-agent-id',
  signedUrl: await fetch('/api/elevenlabs/auth').then(r => r.json()).then(d => d.signedUrl)
});

{
  "agent": {
    "prompt": {
      "prompt": "When speaking as the customer, use voice_id 'customer_voice_abc123'. When speaking as the agent, use voice_id 'agent_voice_def456'."
    }
  }
}

{
  "pronunciation_dictionary": [
    {
      "word": "ElevenLabs",
      "pronunciation": "ɪˈlɛvənlæbz",
      "format": "ipa"
    },
    {
      "word": "API",
      "pronunciation": "ey-pee-ay",
      "format": "cmu"
    },
    {
      "word": "AI",
      "substitution": "artificial intelligence"
    }
  ]
}

{
  "voice_settings": {
    "speed": 1.0 // 0.7 = slow, 1.0 = normal, 1.2 = fast
  }
}

{
  "agent": {
    "language": "en" // ISO 639-1 code
  }
}

{
  "conversation_config": {
    "language_presets": [
      {
        "language": "en",
        "voice_id": "en_voice_id",
        "first_message": "Hello! How can I help you today?"
      },
      {
        "language": "es",
        "voice_id": "es_voice_id",
        "first_message": "¡Hola! ¿Cómo puedo ayudarte hoy?"
      },
      {
        "language": "fr",
        "voice_id": "fr_voice_id",
        "first_message": "Bonjour! Comment puis-je vous aider aujourd'hui?"
      }
    ]
  }
}

{
  "agent": {
    "prompt": {
      "knowledge_base": ["doc_id_1", "doc_id_2"]
    }
  }
}

import { ElevenLabsClient } from 'elevenlabs';

const client = new ElevenLabsClient({ apiKey: process.env.ELEVENLABS_API_KEY });

// Upload document
const doc = await client.knowledgeBase.upload({
  file: fs.createReadStream('support_docs.pdf'),
  name: 'Support Documentation'
});

// Compute RAG index
await client.knowledgeBase.computeRagIndex({
  document_id: doc.id,
  embedding_model: 'e5_mistral_7b' // or 'multilingual_e5_large'
});

{
  "knowledge_base_config": {
    "max_chunks": 5,              // Number of chunks to retrieve
    "vector_distance_threshold": 0.8  // Similarity threshold
  }
}

import { useConversation } from '@elevenlabs/react';
import { z } from 'zod';

const { startConversation } = useConversation({
  clientTools: {
    updateCart: {
      description: "Update the shopping cart with new items",
      parameters: z.object({
        item: z.string().describe("The item name"),
        quantity: z.number().describe("Quantity to add")
      }),
      handler: async ({ item, quantity }) => {
        // Client-side logic
        const cart = getCart();
        cart.add(item, quantity);
        updateUI(cart);
        return { success: true, total: cart.total };
      }
    },
    navigate: {
      description: "Navigate to a different page",
      parameters: z.object({
        url: z.string().describe("The URL to navigate to")
      }),
      handler: async ({ url }) => {
        window.location.href = url;
        return { success: true };
      }
    }
  }
});

elevenlabs tools add-webhook "Get Weather" --config-path tool_configs/get-weather.json

{
  "name": "get_weather",
  "description": "Fetch current weather for a city",
  "url": "https://api.weather.com/v1/current",
  "method": "GET",
  "parameters": {
    "type": "object",
    "properties": {
      "city": {
        "type": "string",
        "description": "The city name (e.g., 'London', 'New York')"
      }
    },
    "required": ["city"]
  },
  "headers": {
    "Authorization": "Bearer {{secret__weather_api_key}}"
  }
}

{
  "url": "https://api.crm.com/customers/{{user_id}}",
  "headers": {
    "X-API-Key": "{{secret__crm_api_key}}"
  }
}

{
  "mcpServers": {
    "ElevenLabs": {
      "command": "uvx",
      "args": ["elevenlabs-mcp"],
      "env": {
        "ELEVENLABS_API_KEY": "<your-key>",
        "ELEVENLABS_MCP_OUTPUT_MODE": "files"
      }
    }
  }
}

{
  "system_tools": [
    {
      "name": "update_conversation_state",
      "description": "Update the conversation context with new information",
      "parameters": {
        "key": { "type": "string" },
        "value": { "type": "string" }
      }
    }
  ]
}

npm install @elevenlabs/react zod

import { useConversation } from '@elevenlabs/react';
import { z } from 'zod';
import { useState } from 'react';

export default function VoiceAgent() {
  const [transcript, setTranscript] = useState<string[]>([]);

  const {
    startConversation,
    stopConversation,
    status,
    isSpeaking
  } = useConversation({
    agentId: 'your-agent-id',

    // Authentication (choose one)
    apiKey: process.env.NEXT_PUBLIC_ELEVENLABS_API_KEY,

    // Client tools
    clientTools: {
      updateCart: {
        description: "Update shopping cart",
        parameters: z.object({
          item: z.string(),
          quantity: z.number()
        }),
        handler: async ({ item, quantity }) => {
          console.log('Cart updated:', item, quantity);
          return { success: true };
        }
      }
    },

    // Events
    onConnect: () => {
      console.log('Connected to agent');
      setTranscript([]);
    },
    onDisconnect: () => console.log('Disconnected'),
    onEvent: (event) => {
      if (event.type === 'transcript') {
        setTranscript(prev => [...prev, `User: ${event.data.text}`]);
      } else if (event.type === 'agent_response') {
        setTranscript(prev => [...prev, `Agent: ${event.data.text}`]);
      }
    },
    onError: (error) => console.error('Error:', error),

    // Regional compliance
    serverLocation: 'us'
  });

  return (
    <div>
      <div>
        <button onClick={startConversation} disabled={status === 'connected'}>
          Start Conversation
        </button>
        <button onClick={stopConversation} disabled={status !== 'connected'}>
          Stop
        </button>
      </div>

      <div>Status: {status}</div>
      <div>{isSpeaking && 'Agent is speaking...'}</div>

      <div>
        <h3>Transcript</h3>
        {transcript.map((line, i) => (
          <p key={i}>{line}</p>
        ))}
      </div>
    </div>
  );
}

npm install @elevenlabs/client

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

const conversation = new Conversation({
  agentId: 'your-agent-id',
  apiKey: process.env.ELEVENLABS_API_KEY,

  onConnect: () => console.log('Connected'),
  onDisconnect: () => console.log('Disconnected'),

  onEvent: (event) => {
    switch (event.type) {
      case 'transcript':
        document.getElementById('user-text').textContent = event.data.text;
        break;
      case 'agent_response':
        document.getElementById('agent-text').textContent = event.data.text;
        break;
    }
  }
});

// Start conversation
document.getElementById('start-btn').addEventListener('click', async () => {
  await conversation.start();
});

// Stop conversation
document.getElementById('stop-btn').addEventListener('click', async () => {
  await conversation.stop();
});

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

const { startConversation } = useConversation({
  agentId: 'your-agent-id',

  // WebSocket uses signed URL
  signedUrl: async () => {
    const response = await fetch('/api/elevenlabs/auth');
    const { signedUrl } = await response.json();
    return signedUrl;
  },

  // Connection type (optional, defaults to 'websocket')
  connectionType: 'websocket',

  // Audio config (flexible)
  audioConfig: {
    sampleRate: 24000, // 16000, 24000, or 48000
    format: 'PCM_24000'
  }
});

const { startConversation } = useConversation({
  agentId: 'your-agent-id',

  // WebRTC uses conversation token (different auth flow)
  conversationToken: async () => {
    const response = await fetch('/api/elevenlabs/token');
    const { token } = await response.json();
    return token;
  },

  // Connection type
  connectionType: 'webrtc',

  // Audio format is HARDCODED to PCM_48000 (not configurable)
  // audioConfig ignored for WebRTC
});

// WebSocket signed URL (GET /v1/convai/conversation/get-signed-url)
app.get('/api/elevenlabs/auth', async (req, res) => {
  const response = await fetch(
    `https://api.elevenlabs.io/v1/convai/conversation/get-signed-url?agent_id=${AGENT_ID}`,
    { headers: { 'xi-api-key': ELEVENLABS_API_KEY } }
  );
  const { signed_url } = await response.json();
  res.json({ signedUrl: signed_url });
});

// WebRTC conversation token (GET /v1/convai/conversation/token)
app.get('/api/elevenlabs/token', async (req, res) => {
  const response = await fetch(
    `https://api.elevenlabs.io/v1/convai/conversation/token?agent_id=${AGENT_ID}`,
    { headers: { 'xi-api-key': ELEVENLABS_API_KEY } }
  );
  const { conversation_token } = await response.json();
  res.json({ token: conversation_token });
});

npx expo install @elevenlabs/react-native @livekit/react-native @livekit/react-native-webrtc livekit-client

import { useConversation } from '@elevenlabs/react-native';
import { View, Button, Text } from 'react-native';
import { z } from 'zod';

export default function App() {
  const { startConversation, stopConversation, status } = useConversation({
    agentId: 'your-agent-id',
    signedUrl: 'https://api.elevenlabs.io/v1/convai/auth/...',

    clientTools: {
      updateProfile: {
        description: "Update user profile",
        parameters: z.object({
          name: z.string()
        }),
        handler: async ({ name }) => {
          console.log('Updating profile:', name);
          return { success: true };
        }
      }
    }
  });

  return (
    <View style={{ padding: 20 }}>
      <Button title="Start" onPress={startConversation} />
      <Button title="Stop" onPress={stopConversation} />
      <Text>Status: {status}</Text>
    </View>
  );
}

dependencies: [
  .package(url: "https://github.com/elevenlabs/elevenlabs-swift-sdk", from: "1.0.0")
]

<script src="https://elevenlabs.io/convai-widget/index.js"></script>
<script>
  ElevenLabsWidget.init({
    agentId: 'your-agent-id',

    // Theming
    theme: {
      primaryColor: '#3B82F6',
      backgroundColor: '#1F2937',
      textColor: '#F9FAFB'
    },

    // Position
    position: 'bottom-right', // 'bottom-left' | 'bottom-right'

    // Custom branding
    branding: {
      logo: 'https://example.com/logo.png',
      name: 'Support Agent'
    }
  });
</script>

// Fetch token from backend
const response = await fetch('/api/scribe/token');
const { token } = await response.json();

// Backend endpoint
const token = await client.scribe.getToken();
return { token };

import { useScribe } from '@elevenlabs/react';

export default function Transcription() {
  const {
    connect,
    disconnect,
    startRecording,
    stopRecording,
    status,
    transcript,
    partialTranscript
  } = useScribe({
    token: async () => {
      const response = await fetch('/api/scribe/token');
      const { token } = await response.json();
      return token;
    },

    // Commit strategy
    commitStrategy: 'vad', // 'vad' (automatic) or 'manual'

    // Audio format
    sampleRate: 16000, // 16000 or 24000

    // Events
    onConnect: () => console.log('Connected to Scribe'),
    onDisconnect: () => console.log('Disconnected'),

    onPartialTranscript: (text) => {
      console.log('Interim:', text);
    },

    onFinalTranscript: (text, timestamps) => {
      console.log('Final:', text);
      console.log('Timestamps:', timestamps); // Word-level timing
    },

    onError: (error) => console.error('Error:', error)
  });

  return (
    <div>
      <button onClick={connect}>Connect</button>
      <button onClick={startRecording}>Start Recording</button>
      <button onClick={stopRecording}>Stop Recording</button>
      <button onClick={disconnect}>Disconnect</button>

      <p>Status: {status}</p>
      <p>Partial: {partialTranscript}</p>
      <p>Final: {transcript}</p>
    </div>
  );
}

import { Scribe } from '@elevenlabs/client';

const connection = await Scribe.connect({
  token: 'your-single-use-token',

  sampleRate: 16000,
  commitStrategy: 'vad',

  onPartialTranscript: (text) => {
    document.getElementById('interim').textContent = text;
  },

  onFinalTranscript: (text, timestamps) => {
    const finalDiv = document.getElementById('final');
    finalDiv.textContent += text + ' ';

    // timestamps: [{ word: 'hello', start: 0.5, end: 0.8 }, ...]
  },

  onError: (error) => {
    console.error('Scribe error:', error);
  }
});

// Start recording from microphone
await connection.startRecording();

// Stop recording
await connection.stopRecording();

// Manual commit (if commitStrategy: 'manual')
await connection.commit();

// Disconnect
await connection.disconnect();

import { Scribe } from '@elevenlabs/client';

const connection = await Scribe.connect({ token });

// Send audio buffer
const audioBuffer = fs.readFileSync('recording.pcm');
await connection.sendAudioData(audioBuffer);

// Manually commit to get final transcript
await connection.commit();

// Wait for final transcript event

elevenlabs tests add "Refund Request Test" --template basic-llm

{
  "name": "Refund Request Test",
  "scenario": "Customer requests refund for defective product",
  "user_input": "I want a refund for order #12345. The product was broken when it arrived.",
  "success_criteria": [
    "Agent acknowledges the request empathetically",
    "Agent asks for order number (which was already provided)",
    "Agent verifies order details",
    "Agent provides refund timeline or next steps"
  ],
  "evaluation_type": "llm"
}

elevenlabs agents test "Support Agent"

{
  "name": "Account Balance Test",
  "scenario": "Customer requests account balance",
  "expected_tool_call": {
    "tool_name": "get_account_balance",
    "parameters": {
      "account_id": "ACC-12345"
    }
  }
}

# Spawn 100 users, 1 per second, test for 10 minutes
elevenlabs test load \
  --users 100 \
  --spawn-rate 1 \
  --duration 600

POST /v1/convai/agents/:agent_id/simulate

const simulation = await client.agents.simulate({
  agent_id: 'agent_123',
  scenario: 'Customer requests refund',
  user_messages: [
    "I want a refund for order #12345",
    "I ordered it last week",
    "Yes, please process it"
  ],
  success_criteria: [
    "Agent acknowledges request",
    "Agent asks for order details",
    "Agent provides refund timeline"
  ]
});

console.log('Test passed:', simulation.passed);
console.log('Criteria met:', simulation.evaluation.criteria_met);

{
  "evaluation_criteria": {
    "resolution": "Was the customer's issue resolved?",
    "sentiment": "Was the conversation tone positive?",
    "compliance": "Did the agent follow company policies?"
  }
}

{
  "data_collection": {
    "fields": [
      { "name": "customer_name", "type": "string" },
      { "name": "issue_type", "type": "enum", "values": ["billing", "technical", "other"] },
      { "name": "satisfaction", "type": "number", "range": [1, 5] }
    ]
  }
}

{
  "privacy": {
    "transcripts": {
      "retention_days": 730  // 2 years (GDPR)
    },
    "audio": {
      "retention_days": 2190  // 6 years (HIPAA)
    }
  }
}

const { startConversation } = useConversation({
  serverLocation: 'eu-residency' // 'us' | 'global' | 'eu-residency' | 'in-residency'
});

{
  "llm_config": {
    "caching": {
      "enabled": true,
      "ttl_seconds": 3600  // 1 hour
    }
  }
}

{
  "llm_config": {
    "model": "gpt-4o-mini"  // Swap anytime via dashboard or API
  }
}

{
  "call_limits": {
    "burst_pricing_enabled": true
  }
}

const { startConversation } = useConversation({
  onEvent: (event) => {
    switch (event.type) {
      case 'transcript':
        console.log('User said:', event.data.text);
        break;
      case 'agent_response':
        console.log('Agent replied:', event.data.text);
        break;
      case 'tool_call':
        console.log('Tool called:', event.data.tool_name);
        break;
    }
  }
});

{
  "llm_config": {
    "custom": {
      "endpoint": "https://api.openai.com/v1/chat/completions",
      "api_key": "{{secret__openai_api_key}}",
      "model": "gpt-4"
    }
  }
}

{
  "webhooks": {
    "post_call": {
      "url": "https://api.example.com/webhook",
      "headers": {
        "Authorization": "Bearer {{secret__webhook_auth_token}}"
      }
    }
  }
}

{
  "conversation_id": "conv_123",
  "agent_id": "agent_456",
  "transcript": "...",
  "duration_seconds": 120,
  "analysis": {
    "sentiment": "positive",
    "resolution": true,
    "extracted_data": {
      "customer_name": "John Doe",
      "issue_type": "billing"
    }
  }
}

import crypto from 'crypto';

export async function POST(req: Request) {
  const signature = req.headers.get('elevenlabs-signature');
  const payload = await req.text();

  const hmac = crypto
    .createHmac('sha256', process.env.WEBHOOK_SECRET!)
    .update(payload)
    .digest('hex');

  if (signature !== hmac) {
    return new Response('Invalid signature', { status: 401 });
  }

  // Process webhook
  const data = JSON.parse(payload);
  console.log('Conversation ended:', data.conversation_id);

  // MUST return 200
  return new Response('OK', { status: 200 });
}

{
  "conversation_config": {
    "chat_mode": true  // Disables audio input/output
  }
}

SIP Endpoint: sip-static.rtc.elevenlabs.io
TLS Transport: Recommended for production
SRTP Encryption: Supported

{
  "telephony": {
    "provider": "twilio",
    "phone_number": "+1234567890",
    "account_sid": "{{secret__twilio_account_sid}}",
    "auth_token": "{{secret__twilio_auth_token}}"
  }
}

# Install globally
npm install -g @elevenlabs/cli

# Authenticate
elevenlabs auth login

# Set residency (for GDPR compliance)
elevenlabs auth residency eu-residency  # or 'in-residency' | 'global'

# Check current user
elevenlabs auth whoami