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Spring AI 1.1.0-M4 introduces Recursive Advisors, a new experimental feature that enables iterative workflows with LLMs by allowing advisor chains to loop multiple times. Unlike traditional single-pass advisors, recursive advisors support use cases like tool calling loops, output validation with retries, and autonomous agent workflows. The framework includes two built-in implementations: ToolCallAdvisor for explicit tool execution control and StructuredOutputValidationAdvisor for JSON schema validation with automatic retries. Developers should carefully consider termination conditions, advisor ordering, and cost implications when implementing recursive patterns.

Create Self-Improving AI Agents Using Spring AI Recursive Advisors