"Koog 0.4.0, an update to the JetBrains Kotlin framework for building AI agents, features native structured output intended to hold up in production. It also adds Apple's iOS as a target platform, as well as GPT-5 model and OpenTelemetry support. Announced August 28, Koog 0.4.0 is intended to make agents observable, seamless, deployable in a user's stack, and more predictable, while adding support for new platforms and models, JetBrains said."
"Native structured output addresses a situation in which a large language model (LLM) can provide the exact data format needed, but then the process stops working. Koog 0.4.0 adds native structured output supported by some LLMs, with pragmatic guardrails like retries and fixing strategies. When a model supports structured output, the framework uses it directly. Otherwise, Koog falls back to a tuned prompt-and-retry, with a fixing parser powered by a separate model, until the payload looks exactly how it should."
Koog 0.4.0 introduces native structured output to ensure production-ready, exactly formatted payloads, using direct model output when available and tuned prompt-and-retry with a fixing parser otherwise. The release includes pragmatic guardrails such as retries and separate-model fixing strategies to make outputs predictable. Koog expands Kotlin Multiplatform reach by adding iOS as a target so developers can build once and ship to iOS, Android, and JVM back ends, though building for iOS requires Koog 0.4.1. The update also adds GPT-5 support, custom LLM parameters like reasoningEffort, and OpenTelemetry integration for W&B Weave AI and Langfuse.
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