Unverified60% confidenceFactExact time
Spring AI supports streaming dialogue through ChatClient, with streaming output delivered token by token in real time based on SSE or WebSocket protocols.
2
Sources
60%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
Related Claims
UnverifiedIn Spring AI, streaming output is typically implemented via Flux reactive streams, using Server-Sent Events (SSE) technology to progressively push tokens to the client.77% similarUnverifiedChatClient is a higher-level conversational client provided by Spring AI with more complete encapsulation than ChatModel, and is the more recommended entry point for actual development.75% similarUnverified流式聊天基于SSE或WebSocket协议逐字返回，技术上通过Reactor的Flux类型实现73% similarUnverifiedIn Spring AI, streaming responses are returned via Project Reactor's Flux<ChatResponse> type, and can also be used in traditional Servlet architecture through Spring MVC's SseEmitter.70% similarUnverifiedThe conversational product claude.ai is both a heavily interactive front-end application and must handle real-time streaming output from large models.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/604772API
curl https://kongchang.com/api/v1/knowledge/claims/604772MCP
get_claim(id=604772)