A developer has built an asynchronous human-in-the-loop AI agent system using Spring AI that avoids blocking virtual threads during approval workflows. The approach serializes the agent's ReAct loop s…
A developer built an MCP (Model Context Protocol) server using Spring AI with JSON-RPC and Server-Sent Events (SSE) transport. The implementation enables standardized tool exposure for AI agents by le…
A developer has outlined a method to reduce large language model costs by up to 90% in enterprise RAG pipelines using ephemeral prompt caching with Spring AI and JTokkit. The approach requires isolati…
AgentFlow4J v0.7.0, a Java multi-agent orchestration framework built on Spring AI, introduces a `FailureClassifier` that categorizes LLM call failures as transient, permanent, or over-budget, enabling…
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, demonstra…
WildFly 40, Micronaut 5.0, Maven Embedded GlassFish Plugin 8.0, and Apache Fory 1.0 all reached general availability in the week of May 18, 2026, alongside the seventh milestone release of Spring AI 2…
In 2026, AI agents are performing real-world transactions like booking flights and mutating databases, but standard database transactions fail when dealing with asynchronous LLM API calls. To maintain…
Basic vector search is inadequate for enterprise AI pipelines and promotes GraphRAG, a hybrid retrieval approach combining vector search with graph databases. It describes a Spring AI and Neo4j implem…