Chat Examples

Explore practical examples for implementing chat functionality with the Electron Hub API.

Basic Chat Completion

Simple Question and Answer

const response = await fetch('https://api.electronhub.ai/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gpt-3.5-turbo',
    messages: [
      { role: 'user', content: 'What is the capital of France?' }
    ],
    max_tokens: 100
  })
});

const data = await response.json();
console.log(data.choices[0].message.content);

import requests

response = requests.post(
    'https://api.electronhub.ai/v1/chat/completions',
    headers={
        'Authorization': 'Bearer YOUR_API_KEY',
        'Content-Type': 'application/json'
    },
    json={
        'model': 'gpt-3.5-turbo',
        'messages': [
            {'role': 'user', 'content': 'What is the capital of France?'}
        ],
        'max_tokens': 100
    }
)

print(response.json()['choices'][0]['message']['content'])

curl -X POST "https://api.electronhub.ai/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-3.5-turbo",
    "messages": [
      {"role": "user", "content": "What is the capital of France?"}
    ],
    "max_tokens": 100
  }'

Conversation with Context

Multi-turn Conversation

const conversationHistory = [
  { role: 'system', content: 'You are a helpful assistant.' },
  { role: 'user', content: 'Hello! Can you help me with math?' },
  { role: 'assistant', content: 'Of course! I\'d be happy to help you with math. What would you like to work on?' },
  { role: 'user', content: 'What is 25 * 4?' }
];

const response = await fetch('https://api.electronhub.ai/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gpt-3.5-turbo',
    messages: conversationHistory,
    max_tokens: 150,
    temperature: 0.7
  })
});

const data = await response.json();
console.log(data.choices[0].message.content);

Specialized Chat Applications

Customer Support Bot

async function customerSupportChat(userMessage, customerData) {
  const systemPrompt = `You are a helpful customer support agent for TechCorp. 
Customer Info:
- Name: ${customerData.name}
- Account Type: ${customerData.accountType}
- Recent Orders: ${customerData.recentOrders}

Provide helpful, professional responses. If you need to escalate, say "Let me connect you with a specialist."`;

  const response = await fetch('https://api.electronhub.ai/v1/chat/completions', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: 'gpt-4',
      messages: [
        { role: 'system', content: systemPrompt },
        { role: 'user', content: userMessage }
      ],
      max_tokens: 300,
      temperature: 0.3
    })
  });

  const data = await response.json();
  return data.choices[0].message.content;
}

// Usage
const response = await customerSupportChat(
  "I can't access my account",
  {
    name: "John Doe",
    accountType: "Premium",
    recentOrders: ["Order #12345", "Order #12346"]
  }
);

Code Assistant

async function codeAssistant(codeQuestion, programmingLanguage = 'JavaScript') {
  const systemPrompt = `You are an expert ${programmingLanguage} developer. 
Provide clear, well-commented code examples. 
Explain complex concepts in simple terms.
Always include error handling when appropriate.`;

  const response = await fetch('https://api.electronhub.ai/v1/chat/completions', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: 'gpt-4',
      messages: [
        { role: 'system', content: systemPrompt },
        { role: 'user', content: codeQuestion }
      ],
      max_tokens: 1000,
      temperature: 0.2
    })
  });

  const data = await response.json();
  return data.choices[0].message.content;
}

// Usage
const codeHelp = await codeAssistant(
  "How do I implement a binary search algorithm?",
  "Python"
);

Streaming Responses

Real-time Chat with Streaming

async function streamingChat(messages) {
  const response = await fetch('https://api.electronhub.ai/v1/chat/completions', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: 'gpt-3.5-turbo',
      messages: messages,
      stream: true,
      max_tokens: 500
    })
  });

  const reader = response.body.getReader();
  let assistantMessage = '';

  try {
    while (true) {
      const { done, value } = await reader.read();
      
      if (done) break;
      
      const chunk = new TextDecoder().decode(value);
      const lines = chunk.split('\n');
      
      for (const line of lines) {
        if (line.startsWith('data: ')) {
          const data = line.slice(6);
          
          if (data === '[DONE]') {
            return assistantMessage;
          }
          
          try {
            const parsed = JSON.parse(data);
            const content = parsed.choices?.[0]?.delta?.content;
            
            if (content) {
              assistantMessage += content;
              // Update UI in real-time
              updateChatUI(content);
            }
          } catch (e) {
            // Ignore parsing errors for malformed chunks
          }
        }
      }
    }
  } finally {
    reader.releaseLock();
  }
  
  return assistantMessage;
}

function updateChatUI(newContent) {
  // Update your chat interface with the new content
  const chatContainer = document.getElementById('chat-messages');
  const lastMessage = chatContainer.lastElementChild;
  lastMessage.textContent += newContent;
}

Advanced Examples

Function Calling

const tools = [
  {
    type: "function",
    function: {
      name: "get_weather",
      description: "Get the current weather for a location",
      parameters: {
        type: "object",
        properties: {
          location: {
            type: "string",
            description: "The city and state or country"
          },
          unit: {
            type: "string",
            enum: ["celsius", "fahrenheit"],
            description: "Temperature unit"
          }
        },
        required: ["location"]
      }
    }
  }
];

async function chatWithFunctions(userMessage) {
  const response = await fetch('https://api.electronhub.ai/v1/chat/completions', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: 'gpt-4',
      messages: [
        { role: 'user', content: userMessage }
      ],
      tools: tools,
      tool_choice: 'auto'
    })
  });

  const data = await response.json();
  const message = data.choices[0].message;

  if (message.tool_calls) {
    // Handle function calls
    for (const toolCall of message.tool_calls) {
      if (toolCall.function.name === 'get_weather') {
        const args = JSON.parse(toolCall.function.arguments);
        const weather = await getWeather(args.location, args.unit);
        
        // Send function result back to the model
        const followUpResponse = await fetch('https://api.electronhub.ai/v1/chat/completions', {
          method: 'POST',
          headers: {
            'Authorization': 'Bearer YOUR_API_KEY',
            'Content-Type': 'application/json'
          },
          body: JSON.stringify({
            model: 'gpt-4',
            messages: [
              { role: 'user', content: userMessage },
              message,
              {
                role: 'tool',
                tool_call_id: toolCall.id,
                content: JSON.stringify(weather)
              }
            ]
          })
        });
        
        const followUpData = await followUpResponse.json();
        return followUpData.choices[0].message.content;
      }
    }
  }

  return message.content;
}

async function getWeather(location, unit = 'celsius') {
  // Mock weather API call
  return {
    location: location,
    temperature: unit === 'celsius' ? '22' : '72',
    unit: unit,
    description: 'Sunny'
  };
}

Content Moderation Integration

async function moderatedChat(userMessage, conversationHistory = []) {
  // First, check if the user message is appropriate
  const moderationResponse = await fetch('https://api.electronhub.ai/v1/moderations', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      input: userMessage,
      model: 'text-moderation-latest'
    })
  });

  const moderationData = await moderationResponse.json();
  
  if (moderationData.results[0].flagged) {
    return {
      response: "I'm sorry, but I can't respond to that type of content. Please keep our conversation respectful.",
      flagged: true
    };
  }

  // If content is safe, proceed with chat
  const messages = [
    ...conversationHistory,
    { role: 'user', content: userMessage }
  ];

  const chatResponse = await fetch('https://api.electronhub.ai/v1/chat/completions', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      model: 'gpt-3.5-turbo',
      messages: messages,
      max_tokens: 300
    })
  });

  const chatData = await chatResponse.json();
  
  return {
    response: chatData.choices[0].message.content,
    flagged: false
  };
}

Error Handling Examples

Robust Chat Implementation

class ChatService {
  constructor(apiKey) {
    this.apiKey = apiKey;
    this.baseURL = 'https://api.electronhub.ai/v1';
  }

  async sendMessage(messages, options = {}) {
    const {
      model = 'gpt-3.5-turbo',
      maxTokens = 500,
      temperature = 0.7,
      retries = 3
    } = options;

    for (let attempt = 1; attempt <= retries; attempt++) {
      try {
        const response = await fetch(`${this.baseURL}/chat/completions`, {
          method: 'POST',
          headers: {
            'Authorization': `Bearer ${this.apiKey}`,
            'Content-Type': 'application/json'
          },
          body: JSON.stringify({
            model,
            messages,
            max_tokens: maxTokens,
            temperature
          })
        });

        if (!response.ok) {
          if (response.status === 429) {
            // Rate limited - wait and retry
            const delay = Math.pow(2, attempt) * 1000;
            await new Promise(resolve => setTimeout(resolve, delay));
            continue;
          }
          
          if (response.status >= 500) {
            // Server error - retry
            if (attempt < retries) continue;
          }
          
          throw new Error(`API request failed: ${response.status}`);
        }

        const data = await response.json();
        return data.choices[0].message.content;

      } catch (error) {
        if (attempt === retries) {
          throw new Error(`Failed to get response after ${retries} attempts: ${error.message}`);
        }
        
        console.warn(`Attempt ${attempt} failed:`, error.message);
      }
    }
  }
}

// Usage
const chatService = new ChatService('YOUR_API_KEY');

try {
  const response = await chatService.sendMessage([
    { role: 'user', content: 'Hello, how are you?' }
  ]);
  console.log(response);
} catch (error) {
  console.error('Chat failed:', error.message);
  // Handle error appropriately
}

Getting Started

API Reference

Guides

Examples

Billing

Basic Chat Completion

Simple Question and Answer

Conversation with Context

Multi-turn Conversation

Specialized Chat Applications

Customer Support Bot

Code Assistant

Streaming Responses

Real-time Chat with Streaming

Advanced Examples

Function Calling

Content Moderation Integration

Error Handling Examples

Robust Chat Implementation

​Basic Chat Completion

​Simple Question and Answer

​Conversation with Context

​Multi-turn Conversation

​Specialized Chat Applications

​Customer Support Bot

​Code Assistant

​Streaming Responses

​Real-time Chat with Streaming

​Advanced Examples

​Function Calling

​Content Moderation Integration

​Error Handling Examples

​Robust Chat Implementation

Basic Chat Completion

Simple Question and Answer

Conversation with Context

Multi-turn Conversation

Specialized Chat Applications

Customer Support Bot

Code Assistant

Streaming Responses

Real-time Chat with Streaming

Advanced Examples

Function Calling

Content Moderation Integration

Error Handling Examples

Robust Chat Implementation