Developed and contributed RubyLLM instrumentation to the open-telemetry/opentelemetry.io repository, enhancing observability for Ruby applications leveraging large language models. This feature added a new entry to the OpenTelemetry registry, enabling comprehensive tracing, metrics, and logging for LLM workloads in Ruby environments. The implementation followed established registry contribution workflows and involved close collaboration with other contributors. Utilizing Ruby, OpenTelemetry instrumentation concepts, and configuration languages such as JSON and YAML, the work improved issue diagnosis and expanded language support within the OpenTelemetry Ruby ecosystem. No major bugs were addressed during this period, with efforts focused on delivering robust backend instrumentation capabilities.