{"slug": "stop-making-your-ai-chatbot-slower-streaming-responses-with-spring-ai-and-server", "title": "Stop Making Your AI Chatbot Slower: Streaming Responses with Spring AI and Server-Sent Events", "summary": "Spring AI's streaming support combined with Server-Sent Events (SSE) reduces perceived response time for AI chatbots from 8 seconds to 200-500 milliseconds for the first token. The approach, demonstrated with a Spring Boot controller and JavaScript EventSource integration, streams tokens to the browser as they are generated rather than waiting for the full response. This architecture improves user experience by showing immediate progress, reducing bounce rates even when total generation time remains unchanged.", "body_md": "**The Wrong Approach\n\nMost applications follow this flow:**\n\nUser Query\n\n↓\n\nLLM Request\n\n↓\n\nWait 5-10 Seconds\n\n↓\n\nReturn Full Response\n\n**The Better Architecture\n\nUse Spring AI's streaming support combined with Server-Sent Events (SSE).**\n\nUser Query\n\n↓\n\nSpring AI\n\n↓\n\nStreaming Tokens\n\n↓\n\nSSE Endpoint\n\n↓\n\nBrowser Updates UI Instantly\n\n``\n\nSpring AI Streaming Example\n\n@RestController\n\n@RequiredArgsConstructor\n\npublic class ChatController {\n\n```\nprivate final ChatClient chatClient;\n\n@GetMapping(value = \"/chat/stream\",\n        produces = MediaType.TEXT_EVENT_STREAM_VALUE)\npublic Flux<String> streamResponse(\n        @RequestParam String message) {\n\n    return chatClient.prompt()\n            .user(message)\n            .stream()\n            .content();\n}\n```\n\n}\n\n`\n\n`\n\nFrontend Integration\n\n``` js\nconst eventSource = new EventSource(\n    \"/chat/stream?message=Explain Spring AI\"\n);\n\neventSource.onmessage = (event) => {\n    document.getElementById(\"output\").innerHTML += event.data;\n};\n```\n\nPerformance Benefits\n\nFaster Perceived Response Time\n\nEven if the model takes 8 seconds to complete:\n\nWithout Streaming → First token after 8s\n\nWith Streaming → First token after 200-500ms\n\nThe total generation time remains the same, but users perceive the application as significantly faster.\n\nReduced Bounce Rate\n\nUsers are less likely to leave while waiting because they can see progress immediately.\n\nBetter AI UX\n\nStreaming makes even local Ollama models feel responsive.", "url": "https://wpnews.pro/news/stop-making-your-ai-chatbot-slower-streaming-responses-with-spring-ai-and-server", "canonical_source": "https://dev.to/lovekumardixit/stop-making-your-ai-chatbot-slower-streaming-responses-with-spring-ai-and-server-sent-events-357g", "published_at": "2026-05-26 06:00:44+00:00", "updated_at": "2026-05-26 06:03:40.886362+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "generative-ai", "ai-tools", "ai-infrastructure"], "entities": ["Spring AI", "Server-Sent Events", "Ollama"], "alternates": {"html": "https://wpnews.pro/news/stop-making-your-ai-chatbot-slower-streaming-responses-with-spring-ai-and-server", "markdown": "https://wpnews.pro/news/stop-making-your-ai-chatbot-slower-streaming-responses-with-spring-ai-and-server.md", "text": "https://wpnews.pro/news/stop-making-your-ai-chatbot-slower-streaming-responses-with-spring-ai-and-server.txt", "jsonld": "https://wpnews.pro/news/stop-making-your-ai-chatbot-slower-streaming-responses-with-spring-ai-and-server.jsonld"}}