opentelemetry-instrumentation-transformers
Advanced tools
This library allows tracing texte generation calls sent with the official HuggingFace Transformers library.
pip install opentelemetry-instrumentation-transformers
from opentelemetry.instrumentation.transformers import TransformersInstrumentor
TransformersInstrumentor().instrument()
By default, this instrumentation logs prompts, completions, and embeddings 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.
TRACELOOP_TRACE_CONTENT=false
FAQs
OpenTelemetry transformers instrumentation
We found that opentelemetry-instrumentation-transformers demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.