Examples & Use Cases

Quick Examples

Basic Voice Chat (React)

A minimal voice chat implementation:

import React from 'react';
import { VoiceProvider, useVoice } from '@nextevi/voice-react';

function SimpleVoiceChat() {
  const { connect, readyState, messages, isRecording } = useVoice();

  return (
    <div style={{ padding: '20px' }}>
      <button onClick={() => connect({
        auth: {
          apiKey: "oak_your_api_key",
          projectId: "your_project_id", 
          configId: "your-config-id"
        }
      })}>
        {readyState === 'connected' ? '🔊 Connected' : '🎤 Start Chat'}
      </button>
      
      {isRecording && <div>🎙️ Listening...</div>}
      
      <div style={{ marginTop: '20px', height: '200px', overflow: 'auto' }}>
        {messages.map(msg => (
          <div key={msg.id}>
            <strong>{msg.type === 'user' ? 'You' : 'AI'}:</strong> {msg.content}
          </div>
        ))}
      </div>
    </div>
  );
}

function App() {
  return (
    <VoiceProvider>
      <SimpleVoiceChat />
    </VoiceProvider>
  );
}

WebSocket Voice Connection

Direct WebSocket implementation:

const voice = new WebSocket(
  `wss://api.nextevi.com/ws/voice/conn-123?api_key=oak_your_api_key&config_id=your_config_id`
);

voice.onopen = () => {
  console.log('🎤 Voice AI connected');
  
  // Enable features
  voice.send(JSON.stringify({
    type: "session_settings",
    timestamp: Date.now() / 1000,
    message_id: "init",
    data: {
      emotion_detection: { enabled: true },
      turn_detection: { enabled: true }
    }
  }));
};

voice.onmessage = (event) => {
  const msg = JSON.parse(event.data);
  
  if (msg.type === 'transcription') {
    console.log('User said:', msg.data.transcript);
  } else if (msg.type === 'llm_response_chunk') {
    console.log('AI response:', msg.data.content);
  }
};

Real-World Use Cases

1. Customer Support Bot

Emotion-aware customer service with escalation:

import React, { useState, useEffect } from 'react';
import { useVoice } from '@nextevi/voice-react';

function CustomerSupportBot() {
  const { connect, messages, readyState } = useVoice();
  const [emotionalState, setEmotionalState] = useState('neutral');
  const [escalationRisk, setEscalationRisk] = useState(0);

  useEffect(() => {
    // Analyze recent emotional patterns
    const recentMessages = messages.slice(-3)
      .filter(msg => msg.type === 'user' && msg.metadata?.emotions);
    
    const angerLevel = recentMessages
      .reduce((sum, msg) => sum + (msg.metadata.emotions.anger || 0), 0) / recentMessages.length;
    
    if (angerLevel > 0.7) {
      setEmotionalState('angry');
      setEscalationRisk(Math.min(escalationRisk + 1, 5));
    } else if (angerLevel > 0.4) {
      setEmotionalState('frustrated');
    } else {
      setEmotionalState('neutral');
      setEscalationRisk(Math.max(escalationRisk - 0.5, 0));
    }
  }, [messages]);

  const handleConnect = async () => {
    await connect({
      auth: {
        apiKey: process.env.NEXTEVI_API_KEY,
        projectId: process.env.NEXTEVI_PROJECT_ID,
        configId: "customer-support-config"
      },
      sessionSettings: {
        emotion_detection: { 
          enabled: true, 
          confidence_threshold: 0.6 
        },
        response_style: {
          tone: escalationRisk > 3 ? 'calming' : 'helpful',
          empathy_level: emotionalState === 'angry' ? 'high' : 'medium'
        }
      }
    });
  };

  return (
    <div style={{ maxWidth: '600px', margin: '0 auto', padding: '20px' }}>
      <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: '20px' }}>
        <h2>Customer Support</h2>
        <button onClick={handleConnect} disabled={readyState === 'connecting'}>
          {readyState === 'connected' ? '✅ Connected' : '🎧 Start Support'}
        </button>
      </div>
      
      {/* Emotional State Dashboard */}
      <div style={{ 
        backgroundColor: emotionalState === 'angry' ? '#fef2f2' : 
                       emotionalState === 'frustrated' ? '#fef3c7' : '#f0f9ff',
        padding: '12px', 
        borderRadius: '8px', 
        marginBottom: '20px',
        border: `2px solid ${emotionalState === 'angry' ? '#fca5a5' : 
                             emotionalState === 'frustrated' ? '#fbbf24' : '#93c5fd'}`
      }}>
        <div style={{ display: 'flex', justifyContent: 'space-between' }}>
          <span>Emotional State: <strong>{emotionalState}</strong></span>
          <span>Escalation Risk: <strong>{escalationRisk}/5</strong></span>
        </div>
        
        {escalationRisk >= 4 && (
          <div style={{ marginTop: '8px', color: '#dc2626' }}>
            ⚠️ High escalation risk - Consider transferring to human agent
          </div>
        )}
      </div>
      
      {/* Messages with Emotion Indicators */}
      <div style={{ height: '400px', overflowY: 'auto', border: '1px solid #e5e7eb', borderRadius: '8px', padding: '12px' }}>
        {messages.map(message => (
          <div key={message.id} style={{ 
            marginBottom: '12px',
            padding: '12px',
            backgroundColor: message.type === 'user' ? '#eff6ff' : '#f0fdf4',
            borderRadius: '8px',
            borderLeft: `4px solid ${message.type === 'user' ? '#3b82f6' : '#22c55e'}`
          }}>
            <div style={{ fontWeight: 'bold', marginBottom: '4px' }}>
              {message.type === 'user' ? 'Customer' : 'Support Bot'}
            </div>
            
            <div>{message.content}</div>
            
            {/* Emotion Indicators */}
            {message.metadata?.emotions && (
              <div style={{ marginTop: '8px', fontSize: '12px', color: '#6b7280' }}>
                {Object.entries(message.metadata.emotions)
                  .filter(([, score]) => score > 0.2)
                  .map(([emotion, score]) => (
                    <span key={emotion} style={{ 
                      marginRight: '12px',
                      padding: '2px 6px',
                      backgroundColor: emotion === 'anger' ? '#fca5a5' : 
                                     emotion === 'sadness' ? '#a7c3f3' : '#d1fae5',
                      borderRadius: '12px'
                    }}>
                      {emotion}: {(score * 100).toFixed(0)}%
                    </span>
                  ))}
              </div>
            )}
          </div>
        ))}
      </div>
    </div>
  );
}

2. Educational Voice Tutor

Adaptive learning with emotion-based pacing:

function VoiceTutor() {
  const { connect, messages, readyState } = useVoice();
  const [studentEngagement, setStudentEngagement] = useState('medium');
  const [comprehensionLevel, setComprehensionLevel] = useState('good');

  useEffect(() => {
    const recentEmotions = messages
      .slice(-5)
      .filter(msg => msg.type === 'user' && msg.metadata?.emotions)
      .map(msg => msg.metadata.emotions);

    if (recentEmotions.length > 0) {
      const avgConfusion = recentEmotions.reduce((sum, emotions) => 
        sum + (emotions.confusion || 0), 0) / recentEmotions.length;
      const avgJoy = recentEmotions.reduce((sum, emotions) => 
        sum + (emotions.joy || 0), 0) / recentEmotions.length;

      if (avgConfusion > 0.6) {
        setComprehensionLevel('struggling');
        setStudentEngagement('low');
      } else if (avgJoy > 0.5) {
        setComprehensionLevel('excellent');
        setStudentEngagement('high');
      } else {
        setComprehensionLevel('good');
        setStudentEngagement('medium');
      }
    }
  }, [messages]);

  const handleConnect = async () => {
    await connect({
      auth: {
        apiKey: process.env.NEXTEVI_API_KEY,
        configId: "educational-tutor-config"
      },
      sessionSettings: {
        emotion_detection: { enabled: true },
        response_style: {
          tone: comprehensionLevel === 'struggling' ? 'encouraging' : 'standard',
          explanation_detail: comprehensionLevel === 'struggling' ? 'detailed' : 'standard',
          pacing: studentEngagement === 'low' ? 'slow' : 'normal'
        }
      }
    });
  };

  return (
    <div style={{ maxWidth: '800px', margin: '0 auto', padding: '20px' }}>
      <div style={{ display: 'flex', justifyContent: 'space-between', marginBottom: '20px' }}>
        <h2>AI Voice Tutor</h2>
        <button onClick={handleConnect}>
          {readyState === 'connected' ? '🎓 Teaching' : '📚 Start Lesson'}
        </button>
      </div>

      {/* Student Analytics Dashboard */}
      <div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr', gap: '16px', marginBottom: '20px' }}>
        <div style={{ padding: '16px', backgroundColor: '#f8fafc', borderRadius: '8px', border: '1px solid #e2e8f0' }}>
          <h3>Comprehension Level</h3>
          <div style={{ 
            fontSize: '24px', 
            fontWeight: 'bold',
            color: comprehensionLevel === 'excellent' ? '#059669' : 
                   comprehensionLevel === 'struggling' ? '#dc2626' : '#f59e0b'
          }}>
            {comprehensionLevel}
          </div>
        </div>
        
        <div style={{ padding: '16px', backgroundColor: '#f8fafc', borderRadius: '8px', border: '1px solid #e2e8f0' }}>
          <h3>Student Engagement</h3>
          <div style={{ 
            fontSize: '24px', 
            fontWeight: 'bold',
            color: studentEngagement === 'high' ? '#059669' : 
                   studentEngagement === 'low' ? '#dc2626' : '#f59e0b'
          }}>
            {studentEngagement}
          </div>
        </div>
      </div>

      {/* Teaching Conversation */}
      <div style={{ height: '400px', overflowY: 'auto', border: '1px solid #e5e7eb', borderRadius: '8px', padding: '16px' }}>
        {messages.map(message => (
          <div key={message.id} style={{ 
            marginBottom: '16px',
            display: 'flex',
            flexDirection: message.type === 'user' ? 'row-reverse' : 'row',
            alignItems: 'flex-start'
          }}>
            <div style={{
              maxWidth: '70%',
              padding: '12px',
              borderRadius: '12px',
              backgroundColor: message.type === 'user' ? '#3b82f6' : '#22c55e',
              color: 'white',
              margin: message.type === 'user' ? '0 0 0 12px' : '0 12px 0 0'
            }}>
              <div style={{ fontWeight: 'bold', marginBottom: '4px' }}>
                {message.type === 'user' ? '🎓 Student' : '🤖 Tutor'}
              </div>
              <div>{message.content}</div>
            </div>
          </div>
        ))}
      </div>
    </div>
  );
}

3. Healthcare Voice Assistant

Empathetic health monitoring with privacy considerations:

function HealthcareVoiceAssistant() {
  const { connect, messages, readyState } = useVoice();
  const [wellbeingScore, setWellbeingScore] = useState(50);
  const [concerningPatterns, setConcerningPatterns] = useState([]);

  useEffect(() => {
    // Analyze emotional wellbeing patterns
    const emotionData = messages
      .filter(msg => msg.type === 'user' && msg.metadata?.emotions)
      .slice(-10); // Last 10 user messages

    if (emotionData.length > 3) {
      const avgSadness = emotionData.reduce((sum, msg) => 
        sum + (msg.metadata.emotions.sadness || 0), 0) / emotionData.length;
      const avgAnxiety = emotionData.reduce((sum, msg) => 
        sum + (msg.metadata.emotions.fear || 0), 0) / emotionData.length;
      const avgJoy = emotionData.reduce((sum, msg) => 
        sum + (msg.metadata.emotions.joy || 0), 0) / emotionData.length;

      // Calculate wellbeing score (0-100)
      const score = Math.max(0, Math.min(100, 
        50 + (avgJoy * 50) - (avgSadness * 30) - (avgAnxiety * 20)
      ));
      setWellbeingScore(Math.round(score));

      // Identify concerning patterns
      const patterns = [];
      if (avgSadness > 0.6) patterns.push('persistent_sadness');
      if (avgAnxiety > 0.7) patterns.push('high_anxiety');
      if (avgJoy < 0.1 && avgSadness > 0.4) patterns.push('low_mood');
      
      setConcerningPatterns(patterns);
    }
  }, [messages]);

  const handleConnect = async () => {
    await connect({
      auth: {
        apiKey: process.env.NEXTEVI_API_KEY,
        configId: "healthcare-assistant-config"
      },
      sessionSettings: {
        emotion_detection: { 
          enabled: true,
          privacy_mode: true // Enhanced privacy for healthcare
        },
        response_style: {
          tone: 'empathetic',
          medical_disclaimer: true,
          privacy_aware: true
        }
      }
    });
  };

  return (
    <div style={{ maxWidth: '700px', margin: '0 auto', padding: '20px' }}>
      <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: '20px' }}>
        <h2>🏥 Healthcare Voice Assistant</h2>
        <button onClick={handleConnect} style={{
          padding: '10px 20px',
          backgroundColor: readyState === 'connected' ? '#059669' : '#3b82f6',
          color: 'white',
          border: 'none',
          borderRadius: '6px'
        }}>
          {readyState === 'connected' ? '✅ Connected' : '🩺 Start Consultation'}
        </button>
      </div>

      {/* Privacy Notice */}
      <div style={{ 
        backgroundColor: '#fef3c7', 
        border: '1px solid #fbbf24', 
        padding: '12px', 
        borderRadius: '8px', 
        marginBottom: '20px',
        fontSize: '14px'
      }}>
        <strong>Privacy Notice:</strong> This assistant uses emotion detection for better care. 
        Your emotional data is processed securely and not stored permanently. 
        This is not a substitute for professional medical advice.
      </div>

      {/* Wellbeing Dashboard */}
      <div style={{ 
        display: 'grid', 
        gridTemplateColumns: '2fr 1fr', 
        gap: '16px', 
        marginBottom: '20px' 
      }}>
        <div style={{ 
          padding: '16px', 
          backgroundColor: '#f0f9ff', 
          borderRadius: '8px', 
          border: '1px solid #bae6fd' 
        }}>
          <h3>Wellbeing Score</h3>
          <div style={{ display: 'flex', alignItems: 'center' }}>
            <div style={{ 
              fontSize: '32px', 
              fontWeight: 'bold',
              color: wellbeingScore >= 70 ? '#059669' : 
                     wellbeingScore >= 40 ? '#f59e0b' : '#dc2626',
              marginRight: '12px'
            }}>
              {wellbeingScore}/100
            </div>
            <div style={{ flex: 1 }}>
              <div style={{ 
                width: '100%', 
                height: '8px', 
                backgroundColor: '#e5e7eb', 
                borderRadius: '4px',
                overflow: 'hidden'
              }}>
                <div style={{
                  width: `${wellbeingScore}%`,
                  height: '100%',
                  backgroundColor: wellbeingScore >= 70 ? '#059669' : 
                                 wellbeingScore >= 40 ? '#f59e0b' : '#dc2626',
                  transition: 'width 0.3s ease'
                }} />
              </div>
            </div>
          </div>
        </div>

        <div style={{ 
          padding: '16px', 
          backgroundColor: concerningPatterns.length > 0 ? '#fef2f2' : '#f0fdf4', 
          borderRadius: '8px', 
          border: `1px solid ${concerningPatterns.length > 0 ? '#fca5a5' : '#bbf7d0'}` 
        }}>
          <h3>Status</h3>
          <div style={{ 
            color: concerningPatterns.length > 0 ? '#dc2626' : '#059669',
            fontWeight: 'bold'
          }}>
            {concerningPatterns.length > 0 ? '⚠️ Needs Attention' : '✅ Stable'}
          </div>
        </div>
      </div>

      {/* Concerning Patterns Alert */}
      {concerningPatterns.length > 0 && (
        <div style={{ 
          backgroundColor: '#fef2f2', 
          border: '1px solid #fca5a5', 
          padding: '12px', 
          borderRadius: '8px', 
          marginBottom: '20px' 
        }}>
          <strong>Detected Patterns:</strong>
          <ul style={{ margin: '8px 0 0 20px' }}>
            {concerningPatterns.map(pattern => (
              <li key={pattern} style={{ color: '#dc2626' }}>
                {pattern.replace('_', ' ').replace(/\b\w/g, l => l.toUpperCase())}
              </li>
            ))}
          </ul>
          <div style={{ marginTop: '8px', fontSize: '14px' }}>
            Consider speaking with a healthcare professional for additional support.
          </div>
        </div>
      )}

      {/* Conversation */}
      <div style={{ 
        height: '350px', 
        overflowY: 'auto', 
        border: '1px solid #e5e7eb', 
        borderRadius: '8px', 
        padding: '16px',
        backgroundColor: 'white'
      }}>
        {messages.map(message => (
          <div key={message.id} style={{ marginBottom: '16px' }}>
            <div style={{
              padding: '12px',
              backgroundColor: message.type === 'user' ? '#eff6ff' : '#f0fdf4',
              borderRadius: '8px',
              borderLeft: `4px solid ${message.type === 'user' ? '#3b82f6' : '#22c55e'}`
            }}>
              <div style={{ fontWeight: 'bold', marginBottom: '4px', display: 'flex', alignItems: 'center' }}>
                {message.type === 'user' ? '👤 You' : '🩺 Assistant'}
                {message.metadata?.emotions && (
                  <span style={{ 
                    marginLeft: '8px', 
                    fontSize: '12px', 
                    color: '#6b7280',
                    backgroundColor: 'white',
                    padding: '2px 6px',
                    borderRadius: '10px',
                    border: '1px solid #e5e7eb'
                  }}>
                    Mood detected
                  </span>
                )}
              </div>
              <div>{message.content}</div>
            </div>
          </div>
        ))}
      </div>
    </div>
  );
}

Integration Patterns

Environment Configuration

// .env.local
NEXTEVI_API_KEY=oak_your_api_key
NEXTEVI_PROJECT_ID=your_project_id
NEXTEVI_CONFIG_ID=your-config-id

// config.js
export const nextEVIConfig = {
  development: {
    apiKey: process.env.NEXTEVI_API_KEY,
    projectId: process.env.NEXTEVI_PROJECT_ID,
    configId: process.env.NEXTEVI_CONFIG_ID,
    debug: true
  },
  production: {
    // Use JWT tokens in production
    getAuthToken: async () => {
      const response = await fetch('/api/nextevi-token');
      const { token } = await response.json();
      return token;
    },
    configId: process.env.NEXTEVI_CONFIG_ID,
    debug: false
  }
};

Error Boundary

import React from 'react';

class VoiceErrorBoundary extends React.Component {
  constructor(props) {
    super(props);
    this.state = { hasError: false, error: null };
  }

  static getDerivedStateFromError(error) {
    return { hasError: true, error };
  }

  componentDidCatch(error, errorInfo) {
    console.error('Voice AI Error:', error, errorInfo);
    
    // Log to your error reporting service
    if (window.errorReporting) {
      window.errorReporting.captureException(error);
    }
  }

  render() {
    if (this.state.hasError) {
      return (
        <div style={{ padding: '20px', textAlign: 'center' }}>
          <h2>Voice Assistant Unavailable</h2>
          <p>Something went wrong with the voice AI connection.</p>
          <button onClick={() => window.location.reload()}>
            Reload Page
          </button>
        </div>
      );
    }

    return this.props.children;
  }
}

// Usage
function App() {
  return (
    <VoiceErrorBoundary>
      <VoiceProvider>
        <VoiceChat />
      </VoiceProvider>
    </VoiceErrorBoundary>
  );
}

Best Practices Summary

User Experience

Always show connection status clearly to users
Provide visual feedback for microphone activity
Handle permissions gracefully with helpful instructions
Implement loading states and error recovery
Test across different devices and browsers

Performance

Use React.memo for message components
Implement virtual scrolling for long conversations
Clean up connections when components unmount
Optimize audio processing for mobile devices
Monitor memory usage with long-running sessions

Security

Never expose API keys in client-side production code
Use JWT tokens for client authentication
Implement proper CORS policies
Validate user permissions server-side
Use HTTPS for all connections

Privacy & Ethics

Always inform users about emotion detection
Provide options to disable emotion tracking
Handle emotional data with appropriate sensitivity
Implement data retention policies
Consider cultural differences in emotional expression

These examples provide a solid foundation for building sophisticated voice AI applications with NextEVI across different industries and use cases.

Getting Started

Speech-to-Speech

API Reference

Quick Examples

Basic Voice Chat (React)

WebSocket Voice Connection

Real-World Use Cases

1. Customer Support Bot

2. Educational Voice Tutor

3. Healthcare Voice Assistant

Integration Patterns

Environment Configuration

Error Boundary

Best Practices Summary

Getting Started

Speech-to-Speech

API Reference

​Quick Examples

​Basic Voice Chat (React)

​WebSocket Voice Connection

​Real-World Use Cases

​1. Customer Support Bot

​2. Educational Voice Tutor

​3. Healthcare Voice Assistant

​Integration Patterns

​Environment Configuration

​Error Boundary

​Best Practices Summary

Quick Examples

Basic Voice Chat (React)

WebSocket Voice Connection

Real-World Use Cases

1. Customer Support Bot

2. Educational Voice Tutor

3. Healthcare Voice Assistant

Integration Patterns

Environment Configuration

Error Boundary

Best Practices Summary