# LLM Streaming in the Embabel Agentic AI Framework

DevFeed: [LLM Streaming in the Embabel Agentic AI Framework](<https://devfeed.tech/articles/llm-streaming-in-the-embabel-agentic-ai-framework-4493.md>)

Original publisher: [Read original article](<https://www.baeldung.com/java-embabel-streaming-objects>)

Author: Igor Dayen

Published: 2026-08-26T22:02:05Z

Content type: tutorial

Language: en

Sources: [Baeldung](<https://devfeed.tech/sources/baeldung.md>)

Topics: [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [embabel](<https://devfeed.tech/tags/embabel.md>), [java](<https://devfeed.tech/tags/java.md>), [json](<https://devfeed.tech/tags/json.md>), [llm](<https://devfeed.tech/tags/llm.md>), [popular](<https://devfeed.tech/tags/popular.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [spring-ai](<https://devfeed.tech/tags/spring-ai.md>), [spring-ai-embabel](<https://devfeed.tech/tags/spring-ai-embabel.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [tool](<https://devfeed.tech/tags/tool.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

## AI overview

A tutorial on using Embabel Agentic AI to stream LLM output into typed Java objects and reasoning blocks incrementally. It contrasts this capability with the limited structured-streaming support described for Spring AI and LangChain4j.

## Source excerpt

Learn to how to use Embabel AI to automatically parse objects as the data arrive in a stream from the large language model you use in your application. The post LLM Streaming in the Embabel Agentic AI Framework first appeared on Baeldung.