Developed the Open Agent Spec Instrumentor for the Arize-ai/openinference repository, focusing on enhancing observability in agent-based systems. This feature introduced auto-instrumentation for tracing agent and flow executions using OpenTelemetry, standardizing how tracing data is collected and analyzed across workflows. The implementation leveraged Python and observability best practices, providing new user-facing examples and comprehensive documentation to support adoption. By aligning with the project’s broader observability strategy, the work improved debugging efficiency and performance monitoring, enabling faster incident response. The contribution was delivered as a single, well-scoped feature, reflecting a targeted approach to increasing reliability and developer productivity within the codebase.