--- title: A Guide to Spring AI Recursive Advisors | daily.dev description: Spring AI 1.1 introduces Recursive Advisors, which allow the advisor chain to loop and re-call the LLM until a termination condition is met. Two built-in... canonical: https://daily.dev/posts/a-guide-to-spring-ai-recursive-advisors-8h7t8k0jp twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: A Guide to Spring AI Recursive Advisors | daily.dev og:description: Spring AI 1.1 introduces Recursive Advisors, which allow the advisor chain to loop and re-call the LLM until a termination condition is met. Two built-in... og:url: https://daily.dev/posts/a-guide-to-spring-ai-recursive-advisors-8h7t8k0jp og:image: https://api.daily.dev/og/posts/8H7T8K0Jp.png og:image:alt: A Guide to Spring AI Recursive Advisors og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # A Guide to Spring AI Recursive Advisors **[Baeldung](https://daily.dev/sources/baeldung)** · 8 min read · 1 upvotes · 0 comments ## Summary Spring AI 1.1 introduces Recursive Advisors, which allow the advisor chain to loop and re-call the LLM until a termination condition is met. Two built-in implementations are covered: ToolCallAdvisor (moves tool-calling loops into the chain for full observability) and StructuredOutputValidationAdvisor (retries when JSON output fails schema validation). A custom QualityCheckAdvisor example demonstrates how to implement the CallAdvisor interface, augment prompts with feedback on retry, and use chain.copy(this).nextCall() to re-execute only downstream advisors. Key considerations include always setting a max retry limit, the non-streaming-only constraint, advisor ordering impact on observability, and cost/latency trade-offs from multiplied LLM calls. Testing strategy uses a mocked ChatModel to verify retry behavior deterministically. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Create Self-Improving AI Agents Using Spring AI Recursive Advisors](https://daily.dev/posts/create-self-improving-ai-agents-using-spring-ai-recursive-advisors-dribz0r4w) · Spring · 2 upvotes · 0 comments - [Building LLM-as-a-Judge Using Recursive Advisors in Spring AI](https://daily.dev/posts/building-llm-as-a-judge-using-recursive-advisors-in-spring-ai-ikqydk46l) · Baeldung · 4 upvotes · 1 comments - [LLM Response Evaluation with Spring AI: Building LLM-as-a-Judge Using Recursive Advisors](https://daily.dev/posts/llm-response-evaluation-with-spring-ai-building-llm-as-a-judge-using-recursive-advisors-d1ilbehmj) · Spring · 0 upvotes · 0 comments - [Spring AI : Advisors API](https://daily.dev/posts/spring-ai-advisors-api-ugswsrjzz) · SivaLabs · 4 upvotes · 0 comments --- Tags: [#java](https://daily.dev/tags/java), [#llm](https://daily.dev/tags/llm), [#openai](https://daily.dev/tags/openai), [#spring-boot](https://daily.dev/tags/spring-boot), [#spring-ai](https://daily.dev/tags/spring-ai) [View this post on daily.dev](https://daily.dev/posts/a-guide-to-spring-ai-recursive-advisors-8h7t8k0jp) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"A Guide to Spring AI Recursive Advisors","url":"https://daily.dev/posts/a-guide-to-spring-ai-recursive-advisors-8h7t8k0jp","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/a-guide-to-spring-ai-recursive-advisors-8h7t8k0jp"},"datePublished":"2026-03-04T08:49:55.355Z","dateModified":"2026-03-05T08:50:43.975Z","description":"Spring AI 1.1 introduces Recursive Advisors, which allow the advisor chain to loop and re-call the LLM until a termination condition is met. 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