Java developers working on large language model (LLM) applications in sectors like banking, healthcare, and enterprise software face challenges due to the lack of AI-specific observability tools tailored for Java. Most existing tools focus on Python or TypeScript, leaving Java developers to either adapt limited JVM options or rebuild monitoring stacks. The Braintrust Java SDK addresses this gap by offering an open-source solution for AI observability and evaluation that integrates seamlessly with Java 17+ and existing OpenTelemetry infrastructure. It provides features such as tracking LLM calls in production, testing prompt changes, and A/B testing without altering existing Java services unless desired. The SDK supports exporting traces to various backends and includes a framework for running evaluations in CI/CD, enabling developers to capture detailed metrics like input/output, latency, and token usage. This allows for efficient debugging and iterative development without code redeployment. The SDK is readily available on Maven Central, and the developers encourage community engagement through Discord for support and feedback.