Oracle AI SDK
A comprehensive toolkit for integrating conversational AI capabilities into web and mobile applications
The IXO Oracle AI SDK is a comprehensive toolkit designed to seamlessly integrate conversational AI capabilities, such as Guru AI, into web and mobile applications. By providing React hooks and utilities, this SDK empowers developers to manage AI interactions dynamically while maintaining a rich and interactive user experience.
Conversational AI Integration
Conversational AI Integration
The SDK enables applications to interface with conversational AI models, offering features like real-time message streaming and dynamic responses.
Features
- Create and manage multiple AI chat sessions
- Send and receive AI-generated responses in real-time
- Seamlessly switch between active AI sessions
Dynamic UI Components
Dynamic UI Components
One of the standout features of the IXO Oracle AI SDK is its ability to dynamically render custom UI components based on AI output.
Features
- Tool Call Integration: Automatically map AI-generated events to React components
- Custom Components: Easily register and render application-specific components
- Loading States: Indicate progress or waiting states dynamically while the AI processes requests
Platform Versatility
Platform Versatility
The SDK is platform-agnostic, supporting both React DOM for web and React Native for mobile applications.
Web Compatibility
Use standard web components like <div>, <button>, and <input>
Mobile Compatibility
Integrate seamlessly with React Native/Expo components such as <View>, <Text>, and <TextInput>
Real-Time Messaging
Real-Time Messaging
Through hooks like useListMessages, the SDK enables applications to handle real-time messaging.
Features
- Fetch, maintain, and update message lists in real-time
- Handle WebSocket connections for live updates
- Dynamically resolve and display AI-generated messages
Use Cases
The IXO Oracle AI SDK is versatile and can be used in a variety of applications:
- AI-Powered Chat Interfaces: Build interactive chat UIs with real-time AI-driven responses
- Dynamic Content Rendering: Create dynamic, data-driven UI components that respond to AI commands
- Custom AI Tools: Develop AI-assisted tools and workflows tailored to specific user needs
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