{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/3"}],"enrichment":{"capability":"Auto-instruments Agno Agent applications to emit OpenTelemetry-compatible traces for monitoring and observability, exportable to collectors like Arize Phoenix or Langfuse.","skillfed_tags":["observability","agent-tracing","opentelemetry"],"use_cases":["Monitor Agno agent execution in development to debug tool calls and model responses without manual logging.","Export agent traces to Arize Phoenix for local, browser-based visualization of agent behavior and performance.","Collect agent traces in production to Langfuse or Arize AX for analytics, debugging, and compliance auditing.","Correlate agent traces with upstream application traces by integrating with existing OpenTelemetry infrastructure.","Track agent session metadata and custom attributes for multi-turn conversations or batch agent runs."],"what_it_does":"This package adds automatic tracing to Agno Agent applications using the OpenTelemetry standard. When installed and initialized, it intercepts agent execution and emits structured trace spans that capture agent behavior, tool calls, and model interactions. Those spans can be exported to any OpenTelemetry-compatible backend\u2014such as Arize Phoenix (a local-only observability UI), Arize AX, or Langfuse\u2014for real-time monitoring and post-hoc analysis.\n\nThe instrumentation is designed to work with minimal code changes: a single call to `AgnoInstrumentor().instrument()` after setting up your tracer provider. It depends on the OpenTelemetry API and instrumentation framework, plus OpenInference semantic conventions, to ensure traces are structured consistently and interoperable across tools. The package targets Python 3.10 and later and is actively maintained.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, uses a permissive license, and integrates cleanly with standard OpenTelemetry tooling. Install it if you are building Agno agents and need observability; it adds minimal friction and works with existing monitoring infrastructure. Skip it only if you have no observability requirements or prefer manual logging."},"id":"openinference-instrumentation-agno","links":{"html":"https://skillfed.io/packages/openinference-instrumentation-agno","md":"https://skillfed.io/packages/openinference-instrumentation-agno.md","pypi":"https://pypi.org/project/openinference-instrumentation-agno/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"openinference-instrumentation-agno","python_support":"supports_current","summary":"OpenInference Agno Instrumentation"},"popularity":{"monthly_downloads":643635,"position":5606,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.3"}