Streaming AI Responses
Learn how to stream tokens from an AI model in real time so users see answers appear progressively instead of waiting for the full response.
Why Stream Responses?
Large language models can take several seconds to produce a full answer. Streaming sends tokens to the client as they are generated, so the user sees text appear word by word.
- Lower perceived latency
- Users can start reading immediately
- Feels conversational, like a chat
How Streaming Works
Streaming relies on a long-lived HTTP connection. The server keeps the response open and pushes chunks as they arrive from the model provider.
Two common transports are Server-Sent Events and chunked HTTP responses. Most AI SDKs default to SSE.
All lessons in this course
- AI Service API Integration
- Prompt Engineering Basics
- Embedding AI into UI
- Streaming AI Responses