nvidia-nat-opentelemetry
Subpackage for OpenTelemetry integration in NeMo Agent Toolkit
What it is and what it does
This package is a subcomponent of the NVIDIA NeMo Agent Toolkit that layers OpenTelemetry observability onto agent applications. It bridges the toolkit's agent runtime with the OpenTelemetry ecosystem, allowing developers to collect distributed traces, metrics, and logs from their agent workloads and export them to standard observability backends via the OTLP protocol.
The package depends on opentelemetry-api, opentelemetry-sdk, and opentelemetry-exporter-otlp to provide the tracing infrastructure, plus nvidia-nat-core for integration with the broader toolkit. It is intended for developers building or deploying NeMo agents who need visibility into execution flow, latency, and behavior across distributed systems.
Use it for:
- Instrument NeMo agent applications to collect distributed traces for debugging multi-step agent workflows.
- Export agent execution telemetry to observability platforms (Jaeger, Datadog, etc.) via OTLP.
- Monitor agent performance and latency in production deployments.
- Correlate agent traces with other system components for end-to-end observability.
- Develop and test agent behavior by analyzing collected trace data.
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Adds OpenTelemetry observability instrumentation to the NVIDIA NeMo Agent Toolkit, enabling trace collection and export for agent applications.
Yes, if you are using the NVIDIA NeMo Agent Toolkit and need production observability. The package is actively maintained, has low install friction, carries a permissive license, and integrates cleanly with standard OpenTelemetry tooling. No known vulnerabilities. Install only if your workflow involves the NeMo Agent Toolkit; it is not a standalone observability library.
Install
nvidia-nat-opentelemetry on PyPI
pip
pip install nvidia-nat-opentelemetryuv
uv add nvidia-nat-opentelemetrypoetry
poetry add nvidia-nat-opentelemetryInstalling nvidia-nat-opentelemetry
Before you install
Low friction installation with a pure-Python wheel. Active maintenance status with recent commits and a substantial repository footprint (2576 stars). Depends on five runtime packages including opentelemetry-sdk and opentelemetry-exporter-otlp, all standard observability libraries.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and license inclusion.
Quickstart
pip install nvidia-nat-opentelemetry
from nvidia_nat_opentelemetry import ...
# Configure OpenTelemetry tracing for your NeMo Agent Toolkit application
Requires Python 3.11 or later (supports 3.11, 3.12, 3.13); requires nvidia-nat-core and OpenTelemetry runtime dependencies to be installed.
Verify before relying
- Specific instrumentation hooks and configuration API surface not detailed in the excerpt.
- Whether this package auto-instruments agent code or requires explicit span/trace setup.
- Export destinations and trace format compatibility beyond generic OTLP support.
Package facts
| License | Apache-2.0 (permissive) |
| Python support | supports the current Python release (<3.14,>=3.11) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 5 — nvidia-nat-core, openinference-semantic-conventions, opentelemetry-api, opentelemetry-exporter-otlp, opentelemetry-sdk |
| Maintenance | actively maintained — 58 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 232,405/month — #9,069 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: nvidia_nat_opentelemetry-1.8.0-py3-none-any.whl
Keywords: ai, observability, opentelemetry
Tags
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