API Integration Guide

Learn how to integrate Dobby AI into your applications using our comprehensive API.

🎯 What You’ll Learn

By the end of this guide, you’ll know how to:

Set up API authentication
Send messages and receive responses
Manage contexts and conversations
Handle errors and rate limits
Build applications with Dobby AI

🔑 Getting Started with the API

Step 1: Get Your API Key

Log in to your Dobby AI account at dobby.monleru.fun
Go to your profile page
Navigate to the “API” section
Click “Generate New Key”
Copy and store your key securely

Step 2: Test Your API Key

Test your API key with a simple request:

curl -X POST https://api.dobby.monleru.fun/chat/send \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "message": "Hello, Dobby!",
    "model": "dobby-70b"
  }'

Step 3: Understand the Response

{
  "response": "Hello! I'm Dobby AI, your intelligent assistant. How can I help you today?",
  "timestamp": "2025-01-01T12:00:00Z"
}

🚀 Basic API Usage

Sending Your First Message

JavaScript Example:

const apiKey = 'your-api-key';
const baseURL = 'https://api.dobby.monleru.fun';

async function sendMessage(message) {
  const response = await fetch(`${baseURL}/chat/send`, {
    method: 'POST',
    headers: {
      'X-API-Key': apiKey,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      message: message,
      model: 'dobby-70b'
    })
  });

  const data = await response.json();
  return data.response;
}

// Usage
const response = await sendMessage('Hello, Dobby!');
console.log(response);

Python Example:

import requests

def send_message(message, api_key):
    url = 'https://api.dobby.monleru.fun/chat/send'
    headers = {
        'X-API-Key': api_key,
        'Content-Type': 'application/json'
    }
    data = {
        'message': message,
        'model': 'dobby-70b'
    }
    
    response = requests.post(url, headers=headers, json=data)
    return response.json()['response']

# Usage
api_key = 'your-api-key'
response = send_message('Hello, Dobby!', api_key)
print(response)

🧠 Context Management

Creating and Using Contexts

Create a New Context:

async function createContext(name) {
  const response = await fetch(`${baseURL}/chat/send`, {
    method: 'POST',
    headers: {
      'X-API-Key': apiKey,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      message: `Start a new conversation about ${name}`,
      contextId: generateUUID() // Generate a unique ID
    })
  });

  return response.json();
}

Continue a Conversation:

async function continueConversation(message, contextId) {
  const response = await fetch(`${baseURL}/chat/send`, {
    method: 'POST',
    headers: {
      'X-API-Key': apiKey,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      message: message,
      contextId: contextId,
      model: 'dobby-70b'
    })
  });

  return response.json();
}

Managing Multiple Contexts

List All Contexts:

async function getContexts() {
  const response = await fetch(`${baseURL}/chat/contexts`, {
    headers: {
      'X-API-Key': apiKey
    }
  });

  return response.json();
}

Get Specific Context:

async function getContext(contextId) {
  const response = await fetch(`${baseURL}/chat/context/${contextId}`, {
    headers: {
      'X-API-Key': apiKey
    }
  });

  return response.json();
}

🤖 Working with Different Models

Model Selection

Available Models:

dobby-70b - Default custom model
gpt-4 - OpenAI GPT-4
gpt-3.5-turbo - OpenAI GPT-3.5 Turbo

Using Different Models:

async function sendMessageWithModel(message, model) {
  const response = await fetch(`${baseURL}/chat/send`, {
    method: 'POST',
    headers: {
      'X-API-Key': apiKey,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      message: message,
      model: model
    })
  });

  return response.json();
}

// Usage examples
const dobbyResponse = await sendMessageWithModel('Hello!', 'dobby-70b');
const gpt4Response = await sendMessageWithModel('Analyze this data', 'gpt-4');
const gpt35Response = await sendMessageWithModel('Quick question', 'gpt-3.5-turbo');

Model Comparison

Dobby-70B:

Best for general conversation
Good balance of speed and capability
Optimized for coding help

GPT-4:

Most capable for complex reasoning
Best for analysis and creative tasks
Slower but more accurate

GPT-3.5 Turbo:

Fastest response times
Good for simple tasks
Cost-effective option

📊 Credit System Integration

Checking Credit Status

Get Current Credits:

async function getCreditStatus() {
  const response = await fetch(`${baseURL}/credits/status`, {
    headers: {
      'X-API-Key': apiKey
    }
  });

  return response.json();
}

// Usage
const credits = await getCreditStatus();
console.log(`Remaining credits: ${credits.data.remainingCredits}`);

Handle Credit Errors:

async function sendMessageWithCreditCheck(message) {
  try {
    const response = await fetch(`${baseURL}/chat/send`, {
      method: 'POST',
      headers: {
        'X-API-Key': apiKey,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        message: message,
        model: 'dobby-70b'
      })
    });

    if (response.status === 402) {
      throw new Error('Insufficient credits');
    }

    return response.json();
  } catch (error) {
    if (error.message === 'Insufficient credits') {
      console.log('Please wait until tomorrow for credit reset');
    }
    throw error;
  }
}

🔄 Error Handling

Common Error Responses

Rate Limiting:

async function handleRateLimit(func) {
  try {
    return await func();
  } catch (error) {
    if (error.status === 429) {
      const retryAfter = error.headers['Retry-After'];
      console.log(`Rate limited. Retry after ${retryAfter} seconds`);
      await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
      return await func();
    }
    throw error;
  }
}

Authentication Errors:

async function sendMessageWithAuthCheck(message) {
  try {
    const response = await fetch(`${baseURL}/chat/send`, {
      method: 'POST',
      headers: {
        'X-API-Key': apiKey,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        message: message,
        model: 'dobby-70b'
      })
    });

    if (response.status === 401) {
      throw new Error('Invalid API key');
    }

    return response.json();
  } catch (error) {
    if (error.message === 'Invalid API key') {
      console.log('Please check your API key');
    }
    throw error;
  }
}

Retry Logic

Implementing Retry Logic:

async function sendMessageWithRetry(message, maxRetries = 3) {
  for (let i = 0; i < maxRetries; i++) {
    try {
      const response = await fetch(`${baseURL}/chat/send`, {
        method: 'POST',
        headers: {
          'X-API-Key': apiKey,
          'Content-Type': 'application/json'
        },
        body: JSON.stringify({
          message: message,
          model: 'dobby-70b'
        })
      });

      if (response.ok) {
        return response.json();
      }

      if (response.status === 429) {
        const retryAfter = response.headers.get('Retry-After');
        await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
        continue;
      }

      throw new Error(`HTTP ${response.status}`);
    } catch (error) {
      if (i === maxRetries - 1) {
        throw error;
      }
      await new Promise(resolve => setTimeout(resolve, 1000 * Math.pow(2, i)));
    }
  }
}

🏗️ Building Applications

Simple Chat Application

HTML Structure:

<!DOCTYPE html>
<html>
<head>
    <title>Dobby AI Chat</title>
    <style>
        .chat-container { max-width: 800px; margin: 0 auto; padding: 20px; }
        .messages { height: 400px; overflow-y: auto; border: 1px solid #ccc; padding: 10px; margin-bottom: 10px; }
        .message { margin-bottom: 10px; padding: 5px; }
        .user-message { background-color: #e3f2fd; text-align: right; }
        .ai-message { background-color: #f5f5f5; }
        .input-container { display: flex; gap: 10px; }
        .input-field { flex: 1; padding: 10px; border: 1px solid #ccc; }
        .send-button { padding: 10px 20px; background-color: #2196f3; color: white; border: none; cursor: pointer; }
    </style>
</head>
<body>
    <div class="chat-container">
        <div id="messages" class="messages"></div>
        <div class="input-container">
            <input type="text" id="messageInput" class="input-field" placeholder="Type your message...">
            <button onclick="sendMessage()" class="send-button">Send</button>
        </div>
    </div>

    <script>
        const API_KEY = 'your-api-key';
        const BASE_URL = 'https://api.dobby.monleru.fun';

        async function sendMessage() {
            const input = document.getElementById('messageInput');
            const message = input.value.trim();
            
            if (!message) return;

            // Add user message to chat
            addMessage(message, 'user');
            input.value = '';

            try {
                const response = await fetch(`${BASE_URL}/chat/send`, {
                    method: 'POST',
                    headers: {
                        'X-API-Key': API_KEY,
                        'Content-Type': 'application/json'
                    },
                    body: JSON.stringify({
                        message: message,
                        model: 'dobby-70b'
                    })
                });

                const data = await response.json();
                addMessage(data.response, 'ai');
            } catch (error) {
                addMessage('Error: ' + error.message, 'ai');
            }
        }

        function addMessage(text, sender) {
            const messagesDiv = document.getElementById('messages');
            const messageDiv = document.createElement('div');
            messageDiv.className = `message ${sender}-message`;
            messageDiv.textContent = text;
            messagesDiv.appendChild(messageDiv);
            messagesDiv.scrollTop = messagesDiv.scrollHeight;
        }

        // Allow sending with Enter key
        document.getElementById('messageInput').addEventListener('keypress', function(e) {
            if (e.key === 'Enter') {
                sendMessage();
            }
        });
    </script>
</body>
</html>

Node.js Server Application

Express.js Example:

const express = require('express');
const fetch = require('node-fetch');
const app = express();
const port = 3000;

app.use(express.json());
app.use(express.static('public'));

const API_KEY = 'your-api-key';
const BASE_URL = 'https://api.dobby.monleru.fun';

app.post('/api/chat', async (req, res) => {
  try {
    const { message, model = 'dobby-70b' } = req.body;

    const response = await fetch(`${BASE_URL}/chat/send`, {
      method: 'POST',
      headers: {
        'X-API-Key': API_KEY,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        message,
        model
      })
    });

    const data = await response.json();
    res.json(data);
  } catch (error) {
    res.status(500).json({ error: error.message });
  }
});

app.listen(port, () => {
  console.log(`Server running at http://localhost:${port}`);
});

📱 Mobile App Integration

React Native Example

Install Dependencies:

npm install @react-native-async-storage/async-storage

API Service:

// services/dobbyAI.js
const API_KEY = 'your-api-key';
const BASE_URL = 'https://api.dobby.monleru.fun';

export class DobbyAIService {
  static async sendMessage(message, model = 'dobby-70b') {
    try {
      const response = await fetch(`${BASE_URL}/chat/send`, {
        method: 'POST',
        headers: {
          'X-API-Key': API_KEY,
          'Content-Type': 'application/json'
        },
        body: JSON.stringify({
          message,
          model
        })
      });

      if (!response.ok) {
        throw new Error(`HTTP ${response.status}`);
      }

      return await response.json();
    } catch (error) {
      console.error('API Error:', error);
      throw error;
    }
  }

  static async getContexts() {
    try {
      const response = await fetch(`${BASE_URL}/chat/contexts`, {
        headers: {
          'X-API-Key': API_KEY
        }
      });

      return await response.json();
    } catch (error) {
      console.error('API Error:', error);
      throw error;
    }
  }
}

React Component:

// components/ChatScreen.js
import React, { useState } from 'react';
import { View, Text, TextInput, TouchableOpacity, FlatList } from 'react-native';
import { DobbyAIService } from '../services/dobbyAI';

export default function ChatScreen() {
  const [messages, setMessages] = useState([]);
  const [inputText, setInputText] = useState('');
  const [loading, setLoading] = useState(false);

  const sendMessage = async () => {
    if (!inputText.trim() || loading) return;

    const userMessage = { text: inputText, sender: 'user' };
    setMessages(prev => [...prev, userMessage]);
    setInputText('');
    setLoading(true);

    try {
      const response = await DobbyAIService.sendMessage(inputText);
      const aiMessage = { text: response.response, sender: 'ai' };
      setMessages(prev => [...prev, aiMessage]);
    } catch (error) {
      const errorMessage = { text: 'Error: ' + error.message, sender: 'ai' };
      setMessages(prev => [...prev, errorMessage]);
    } finally {
      setLoading(false);
    }
  };

  return (
    <View style={{ flex: 1, padding: 20 }}>
      <FlatList
        data={messages}
        keyExtractor={(item, index) => index.toString()}
        renderItem={({ item }) => (
          <View style={{ 
            padding: 10, 
            marginVertical: 5,
            backgroundColor: item.sender === 'user' ? '#e3f2fd' : '#f5f5f5',
            alignSelf: item.sender === 'user' ? 'flex-end' : 'flex-start',
            borderRadius: 10
          }}>
            <Text>{item.text}</Text>
          </View>
        )}
      />
      
      <View style={{ flexDirection: 'row', marginTop: 10 }}>
        <TextInput
          style={{ 
            flex: 1, 
            borderWidth: 1, 
            borderColor: '#ccc', 
            padding: 10, 
            borderRadius: 5 
          }}
          value={inputText}
          onChangeText={setInputText}
          placeholder="Type your message..."
        />
        <TouchableOpacity
          style={{ 
            backgroundColor: '#2196f3', 
            padding: 10, 
            marginLeft: 10, 
            borderRadius: 5 
          }}
          onPress={sendMessage}
          disabled={loading}
        >
          <Text style={{ color: 'white' }}>
            {loading ? 'Sending...' : 'Send'}
          </Text>
        </TouchableOpacity>
      </View>
    </View>
  );
}

🔧 Advanced Features

Streaming Responses

Implementing Streaming:

async function sendMessageStream(message, onChunk) {
  const response = await fetch(`${baseURL}/chat/send`, {
    method: 'POST',
    headers: {
      'X-API-Key': apiKey,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      message: message,
      model: 'dobby-70b',
      stream: true
    })
  });

  const reader = response.body.getReader();
  const decoder = new TextDecoder();

  while (true) {
    const { done, value } = await reader.read();
    if (done) break;

    const chunk = decoder.decode(value);
    const lines = chunk.split('\n');
    
    for (const line of lines) {
      if (line.startsWith('data: ')) {
        const data = JSON.parse(line.slice(6));
        onChunk(data);
      }
    }
  }
}

Batch Processing

Processing Multiple Messages:

async function processBatch(messages) {
  const results = [];
  
  for (const message of messages) {
    try {
      const response = await sendMessage(message);
      results.push({ message, response: response.response, success: true });
    } catch (error) {
      results.push({ message, error: error.message, success: false });
    }
  }
  
  return results;
}

🆘 Troubleshooting

Common Issues

API Key Issues:

Verify your API key is correct
Check if the key has expired
Ensure you’re using the right header format

Rate Limiting:

Implement retry logic with exponential backoff
Monitor your request frequency
Consider upgrading your plan

Network Issues:

Check your internet connection
Verify the API endpoint is accessible
Handle timeouts appropriately

Debugging Tips

Enable Logging:

const DEBUG = true;

function log(message, data) {
  if (DEBUG) {
    console.log(`[Dobby AI] ${message}`, data);
  }
}

async function sendMessage(message) {
  log('Sending message', { message });
  
  try {
    const response = await fetch(`${baseURL}/chat/send`, {
      method: 'POST',
      headers: {
        'X-API-Key': apiKey,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        message: message,
        model: 'dobby-70b'
      })
    });

    log('Response received', { status: response.status });
    
    const data = await response.json();
    log('Response data', data);
    
    return data;
  } catch (error) {
    log('Error occurred', error);
    throw error;
  }
}

📚 Additional Resources

API Reference - Complete API documentation
FAQ - Common questions and answers
Getting Started - Basic setup guide
Context Management - Managing conversations

Ready to build with Dobby AI? Start with a simple integration and expand from there!

Getting started

User guides

Api integration

API Integration Guide

🎯 What You’ll Learn

🔑 Getting Started with the API

Step 1: Get Your API Key

Step 2: Test Your API Key

Step 3: Understand the Response

🚀 Basic API Usage

Sending Your First Message

🧠 Context Management

Creating and Using Contexts

Managing Multiple Contexts

🤖 Working with Different Models

Model Selection

Model Comparison

📊 Credit System Integration

Checking Credit Status

🔄 Error Handling

Common Error Responses

Retry Logic

🏗️ Building Applications

Simple Chat Application

Node.js Server Application

📱 Mobile App Integration

React Native Example

🔧 Advanced Features

Streaming Responses

Batch Processing

🆘 Troubleshooting

Common Issues

Debugging Tips

📚 Additional Resources

​API Integration Guide

​🎯 What You’ll Learn

​🔑 Getting Started with the API

​Step 1: Get Your API Key

​Step 2: Test Your API Key

​Step 3: Understand the Response

​🚀 Basic API Usage

​Sending Your First Message

​🧠 Context Management

​Creating and Using Contexts

​Managing Multiple Contexts

​🤖 Working with Different Models

​Model Selection

​Model Comparison

​📊 Credit System Integration

​Checking Credit Status

​🔄 Error Handling

​Common Error Responses

​Retry Logic

​🏗️ Building Applications

​Simple Chat Application

​Node.js Server Application

​📱 Mobile App Integration

​React Native Example

​🔧 Advanced Features

​Streaming Responses

​Batch Processing

​🆘 Troubleshooting

​Common Issues

​Debugging Tips

​📚 Additional Resources

API Integration Guide

🎯 What You’ll Learn

🔑 Getting Started with the API

Step 1: Get Your API Key

Step 2: Test Your API Key

Step 3: Understand the Response

🚀 Basic API Usage

Sending Your First Message

🧠 Context Management

Creating and Using Contexts

Managing Multiple Contexts

🤖 Working with Different Models

Model Selection

Model Comparison

📊 Credit System Integration

Checking Credit Status

🔄 Error Handling

Common Error Responses

Retry Logic

🏗️ Building Applications

Simple Chat Application

Node.js Server Application

📱 Mobile App Integration

React Native Example

🔧 Advanced Features

Streaming Responses

Batch Processing

🆘 Troubleshooting

Common Issues

Debugging Tips

📚 Additional Resources