Metadata-Version: 2.4 Name: opentelemetry-instrumentation-sagemaker Version: 0.50.1 Summary: OpenTelemetry SageMaker instrumentation License: Apache-2.0 Author: Bobby Lindsey Author-email: bwlind@amazon.com Requires-Python: >=3.9,<4 Classifier: License :: OSI Approved :: Apache Software License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3.14 Requires-Dist: opentelemetry-api (>=1.38.0,<2.0.0) Requires-Dist: opentelemetry-instrumentation (>=0.59b0) Requires-Dist: opentelemetry-semantic-conventions (>=0.59b0) Requires-Dist: opentelemetry-semantic-conventions-ai (>=0.4.13,<0.5.0) Project-URL: Repository, https://github.com/traceloop/openllmetry/tree/main/packages/opentelemetry-instrumentation-sagemaker Description-Content-Type: text/markdown # OpenTelemetry SageMaker Instrumentation This library allows tracing of any models deployed on Amazon SageMaker and invoked with [Boto3](https://github.com/boto/boto3) to SageMaker. ## Installation ```bash pip install opentelemetry-instrumentation-sagemaker ``` ## Example usage ```python from opentelemetry.instrumentation.sagemaker import SageMakerInstrumentor SageMakerInstrumentor().instrument() ``` ## Privacy **By default, this instrumentation logs SageMaker endpoint request bodies and responses to span attributes**. This gives you a clear visibility into how your LLM application is working, and can make it easy to debug and evaluate the quality of the outputs. However, you may want to disable this logging for privacy reasons, as they may contain highly sensitive data from your users. You may also simply want to reduce the size of your traces. To disable logging, set the `TRACELOOP_TRACE_CONTENT` environment variable to `false`. ```bash TRACELOOP_TRACE_CONTENT=false ```