{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring"}],"enrichment":{"capability":"Automatically captures traces of Amazon SageMaker model invocations made through Boto3, recording request and response data as OpenTelemetry spans for observability and debugging.","skillfed_tags":["observability","aws-sagemaker","llm-tracing"],"use_cases":["Debug LLM application behavior by tracing what data is sent to and returned from SageMaker endpoints.","Monitor SageMaker endpoint performance and latency in production observability systems.","Evaluate output quality by capturing model responses in traces for later analysis.","Reduce trace size in high-volume scenarios by disabling request/response body logging.","Integrate SageMaker calls into a broader OpenTelemetry tracing pipeline across your application."],"what_it_does":"This package is an OpenTelemetry instrumentation plugin that automatically intercepts and traces calls to Amazon SageMaker endpoints made through Boto3. When activated, it wraps SageMaker API calls and records them as spans, capturing request bodies and response data by default to give visibility into model invocations and help debug LLM application behavior.\n\nThe instrumentation is designed for developers building observability into applications that invoke SageMaker models. It integrates with the OpenTelemetry ecosystem, requiring opentelemetry-api, opentelemetry-instrumentation, and semantic convention packages. By default it logs endpoint request and response content to span attributes; this can be disabled via the TRACELOOP_TRACE_CONTENT environment variable if privacy or trace size is a concern.","worth_installing":"Yes, if you are invoking SageMaker endpoints via Boto3 and need observability. The package is actively maintained, has no known vulnerabilities, installs cleanly, and integrates directly into OpenTelemetry. The privacy control via TRACELOOP_TRACE_CONTENT is a practical feature for sensitive workloads. Install it as part of your observability setup."},"id":"opentelemetry-instrumentation-sagemaker","links":{"html":"https://skillfed.io/packages/opentelemetry-instrumentation-sagemaker","md":"https://skillfed.io/packages/opentelemetry-instrumentation-sagemaker.md","pypi":"https://pypi.org/project/opentelemetry-instrumentation-sagemaker/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"opentelemetry-instrumentation-sagemaker","python_support":"supports_current","summary":"OpenTelemetry SageMaker instrumentation"},"popularity":{"monthly_downloads":6795401,"position":1847,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.62.3"}