AI Streaming Pattern
Real-time AI response streaming for chat interfaces and content generation with incremental display and smooth user experience.
What's Included#
- Server-Sent Events (SSE) streaming from API routes
- OpenAI and Anthropic native streaming support
- Vercel AI SDK integration with streamText and useChat
- Client-side stream consumption with progressive rendering
- Abort controller support for cancelling in-progress streams
- Error handling for interrupted and failed streams
Usage#
Via CLI#
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Via AI Assistant#
Ask your AI assistant:
- "Use the AI streaming pattern from Bootspring"
- "Apply the Bootspring AI streaming pattern to my project"
Key Considerations#
- Always stream long-form responses to reduce perceived latency for users
- Provide visual indicators (typing animation, cursor) during active streaming
- Support cancellation so users can stop generation mid-stream
- Handle connection drops and stream errors gracefully with retry options
- Use the Vercel AI SDK for the simplest streaming integration with React
Related Patterns#
- OpenAI - OpenAI API integration
- RAG - Stream RAG responses
- Function Calling - Streaming with tool use