@aivue/core

@aivue/core

Core AI functionality for Vue.js components

📺 Live Demo • 📚 Documentation • 🐛 Report Bug

Overview

@aivue/core provides a unified interface for working with multiple AI providers in Vue.js applications. It serves as the foundation for all VueAI components, offering a consistent API for interacting with various AI services.

✨ Features

• 🔌 Multi-provider support: Works with OpenAI, Claude, Gemini, HuggingFace, Ollama, and more
• 🌐 Fallback mechanism: Continues to work even without API keys during development
• 🔄 Streaming support: Real-time streaming of AI responses
• 🛡️ Type safety: Full TypeScript support
• 🧩 Modular design: Use only what you need
• 🔧 Customizable: Configure providers, models, and parameters

Installation

# npm
npm install @aivue/core

# yarn
yarn add @aivue/core

# pnpm
pnpm add @aivue/core

🔄 Vue Compatibility

• ✅ Vue 2: Compatible with Vue 2.6.0 and higher
• ✅ Vue 3: Compatible with all Vue 3.x versions

The package automatically detects which version of Vue you're using and provides the appropriate compatibility layer. This means you can use the same package regardless of whether your project is using Vue 2 or Vue 3.

Basic Usage

import { AIClient } from '@aivue/core';

// Create a client with your preferred provider
const client = new AIClient({
  provider: 'openai',
  apiKey: import.meta.env.VITE_OPENAI_API_KEY, // Use environment variables for API keys
  model: 'gpt-4o' // Optional - uses provider's default if missing
});

// Chat functionality
async function getResponse() {
  const response = await client.chat([
    { role: 'user', content: 'Hello, can you help me with Vue.js?' }
  ]);

  console.log(response);
}

Streaming Responses

import { AIClient } from '@aivue/core';

const client = new AIClient({
  provider: 'claude',
  apiKey: import.meta.env.VITE_ANTHROPIC_API_KEY,
  model: 'claude-3-7-sonnet-20250219'
});

// Streaming chat functionality
client.chatStream(
  [{ role: 'user', content: 'Write a short poem about Vue.js' }],
  {
    onStart: () => console.log('Stream started'),
    onToken: (token) => console.log(token), // Process each token as it arrives
    onComplete: (fullText) => console.log('Complete response:', fullText),
    onError: (error) => console.error('Error:', error)
  }
);

Using with Vue Composition API

import { ref, onMounted } from 'vue';
import { AIClient } from '@aivue/core';

export default {
  setup() {
    const response = ref('');
    const loading = ref(false);
    const client = new AIClient({
      provider: 'openai',
      apiKey: import.meta.env.VITE_OPENAI_API_KEY
    });

    async function askQuestion(question) {
      loading.value = true;
      try {
        response.value = await client.chat([
          { role: 'user', content: question }
        ]);
      } catch (error) {
        console.error('Error:', error);
      } finally {
        loading.value = false;
      }
    }

    return {
      response,
      loading,
      askQuestion
    };
  }
};

Configuring Multiple Providers

import { registerProviders } from '@aivue/core';

// Register multiple providers at once
registerProviders({
  openai: {
    apiKey: import.meta.env.VITE_OPENAI_API_KEY,
    defaultModel: 'gpt-4o'
  },
  claude: {
    apiKey: import.meta.env.VITE_ANTHROPIC_API_KEY,
    defaultModel: 'claude-3-7-sonnet-20250219'
  },
  gemini: {
    apiKey: import.meta.env.VITE_GEMINI_API_KEY
  }
});

API Reference

AIClient

new AIClient(options: AIClientOptions)

AIClientOptions

Methods

Message Interface

interface Message {
  role: 'system' | 'user' | 'assistant';
  content: string;
}

ChatOptions Interface

interface ChatOptions {
  temperature?: number;
  maxTokens?: number;
  topP?: number;
  frequencyPenalty?: number;
  presencePenalty?: number;
  stopSequences?: string[];
}

StreamCallbacks Interface

interface StreamCallbacks {
  onStart?: () => void;
  onToken?: (token: string) => void;
  onComplete?: (completeText: string) => void;
  onError?: (error: Error) => void;
}

Vue Version Compatibility

The package includes a comprehensive compatibility layer that handles differences between Vue 2 and Vue 3 automatically. If you need to use the compatibility utilities directly:

For Vue 2 and Vue 3 Projects

import {
  // Version detection
  vueVersion,  // 2 or 3 depending on detected Vue version

  // Component utilities
  createCompatComponent,  // Create components that work in both Vue 2 and 3
  registerCompatComponent, // Register components globally in both Vue 2 and 3

  // Plugin utilities
  createCompatPlugin,     // Create plugins that work in both Vue 2 and 3
  installCompatPlugin,    // Install plugins in both Vue 2 and 3

  // Reactivity utilities
  createReactiveState,    // Create reactive state in both Vue 2 and 3
  createCompatRef         // Create refs that work in both Vue 2 and 3
} from '@aivue/core';

// Example: Create a component that works in both Vue 2 and 3
const MyComponent = createCompatComponent({
  // component options
});

// Example: Register a component globally in both Vue 2 and 3
// For Vue 2, this uses Vue.component()
// For Vue 3, this uses app.component()
registerCompatComponent(app, 'MyComponent', MyComponent);

// Example: Create reactive state
const state = createReactiveState({ count: 0 });

// Example: Create a ref
const count = createCompatRef(0);

For Vue 3 Specific Compatibility

If you're working with different versions of Vue 3, the package also provides utilities to handle differences between Vue 3.0.x and Vue 3.2+:

import {
  compatCreateElementBlock,
  compatCreateElementVNode,
  compatNormalizeClass
} from '@aivue/core';

// These functions work across all Vue 3 versions

Demo

Check out our interactive demo to see all components in action.

📦 Related Packages

Explore the complete @aivue ecosystem:

💬 @aivue/chatbot

AI-powered chat components for Vue.js

✨ @aivue/autosuggest

AI-powered suggestion components for Vue.js

📝 @aivue/smartform

AI-powered form validation for Vue.js

🎭 @aivue/emotion-ui

Emotion-aware UI components with sentiment analysis

📄 @aivue/doc-intelligence

Document processing and OCR with AI

🧠 @aivue/predictive-input

AI-powered predictive text input

🔔 @aivue/smart-notify

Intelligent notification system

🎤 @aivue/voice-actions

Voice command integration

📋 @aivue/smart-datatable

Advanced data table components

🖼️ @aivue/image-caption

AI-powered image captioning with OpenAI Vision models

📊 @aivue/analytics

AI-powered analytics and insights

License

MIT © Bharatkumar Subramanian