A chatbot’s worst enemy is page refresh
How is is possible that we’ve made incredible gains in the performance of models, but virtually no gains in the infrastructure that supports them?. .....
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Software Documentation
Summary
This content provides a technical guide on how to stream custom, type-safe data alongside AI model responses using the AI SDK for TypeScript. It demonstrates how to define custom message schemas and use helper functions to send status updates, sources, and dynamic data parts to the client via Server-Sent Events.
Highlights
- Enables sending additional context like status indicators or RAG sources alongside LLM text responses.
- Utilizes TypeScript generics to ensure type safety for custom data parts in UI messages.
- Supports transient messages that update the UI without being stored in the conversation history.
- Implements data reconciliation by allowing updates to specific data parts using unique IDs.
- Leverages Server-Sent Events (SSE) for efficient real-time data streaming from server to client.
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Context
Audience
Frontend and Backend Developers
DomainWeb Development
Formattechnical tutorial
Accessfree online
Topics
Related
AI SDKTypeScriptServer-Sent EventsReal-Time DataUIMessage
