universal_chatbot #

The Universal LLM Chatbot package is a comprehensive solution that enables developers to integrate various AI services seamlessly into Flutter applications. With this package, you can harness the power of cutting-edge language models and image generation capabilities from renowned AI providers such as OpenAI, Anthropic, Gemini, and more, all within a single, unified interface.

Features #

• Multi-Service Integration: Leverage the strengths of multiple AI services, including text generation, image generation, and more, through a single package.
• Seamless Integration: Easily incorporate AI capabilities into your Flutter applications with a user-friendly API.
• Flexible Configuration: Customize the package's behavior and settings to suit your specific project requirements.
• Cross-Platform Support: Develop AI-enabled applications that run seamlessly on both iOS and Android platforms.

Getting started #

To get started with the Universal LLM Chatbot package, follow these steps:

Add the package to your Flutter project's dependencies:

dependencies:
  universal_chatbot: ^0.0.1

Run the package installation command:

flutter pub get

Import the package in your Dart file:

import 'package:universal_chatbot/universal_chatbot.dart';

Usage #

Here's an example of how to generate text using the package:

// chatgpt
final LLM model =
        ChatGPT(key: 'YOUR_CHATGPT_KEY', serviceConfig: modelConfig);
final promptConfig = GPT4Config(user: 'user');
final response = (await model.generateText(
            LLMMessage(
                message:
                    'Translate the following to Bahasa Indonesia: I love you. Only give the Bahasa Indonesia translation without explanation'),
            promptConfig))
        .toList();

// claude
final LLM model =
        Claude(key: 'YOUR_CLAUDE_KEY', serviceConfig: modelConfig);
    final promptConfig = DefaultClaudeConfig();
    final response = (await model.generateText(
            LLMMessage(
                message:
                    'Translate the following to Bahasa Indonesia: I love you. Only give the Bahasa Indonesia translation without explanation'),
            promptConfig))
        .toList();
            
// gemini
final LLM model =
        GeminiClient(key: 'YOUR_GEMIMI_KEY', serviceConfig: modelConfig);
    final promptConfig = DefaultGeminiConfig();
    final response = (await model.generateText(
            LLMMessage(
                message:
                    'Translate the following to Bahasa Indonesia: I love you. Only give the Bahasa Indonesia translation without explanation'),
            promptConfig))
        .toList();          

You can also generate images by providing a text description:

 final LLM model =
        ChatGPT(key: 'YOUR_CHATGPT_KEY', serviceConfig: modelConfig);
    final promptConfig = GPT4Config(
        engine: 'dall-e-3',
        user: 'user',
        imageModel: 'dall-e-3',
        imageSize: '1024');
    final response = await model.generateImage('draw a robot image', promptConfig);

Issues and Feedback #

Please file any issues, bugs, or feature requests in the issue tracker.

License #

This package is licensed under the MIT License. See the LICENSE file for details.