Introducing Tracy: The AI Observability Library for Kotlin

**Introducing Tracy: The AI Observability Library for Kotlin**

Tracy is an open-source Kotlin library that adds production-grade observability to AI-powered applications in minutes. It helps you debug failures, measure execution time, and track LLM usage across model calls, tool calls, and your own custom application logic. Ultimately, comprehensive observability ensures you have the exact data needed to understand real-world application behavior, analyze performance from high-level trends down to granular traces, and power comprehensive online and offline evals. It works seamlessly with common Kotlin/LLM stacks (including OkHttp and Ktor clients, as well as OpenAI, Anthropic, and Gemini ones) while relying on OpenTelemetry under the hood. This architecture guarantees complete flexibility over your trace data, enabling both standard exporting to any compatible backend (like Jaeger, Zipkin, or Grafana) and direct integration with dedicated LLM engineering platforms like Langfuse and W&B Weave...

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