nvidia-nat-atif
Subpackage for ATIF schema models in NVIDIA NeMo Agent Toolkit
What it is and what it does
This is a subpackage of the NVIDIA NeMo Agent Toolkit that provides ATIF schema models for structuring and validating agent data. It leverages pydantic for data validation, enabling developers to work with standardized, type-safe representations of agent interactions and evaluation metrics.
The package targets Python 3.11–3.13 and is maintained as part of an active, well-starred GitHub repository. It is intended for teams building or evaluating AI agents within the NeMo ecosystem, where consistent schema enforcement across agent interactions and evaluation pipelines is needed.
Use it for:
- Validate and structure agent interaction logs using standardized ATIF schemas within NeMo Agent Toolkit workflows
- Build evaluation pipelines that consume and process agent behavior data in a type-safe, schema-compliant format
- Integrate agent evaluation metrics and results into larger NeMo-based AI systems with consistent data models
- Develop custom agent evaluation tools that rely on pydantic-validated ATIF data structures
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Provides ATIF schema models for the NVIDIA NeMo Agent Toolkit, enabling structured representation and validation of agent evaluation and interaction data.
Yes, if you are building or evaluating agents within the NVIDIA NeMo ecosystem and need standardized schema models for agent interactions and evaluation. The low install friction, active maintenance, permissive license, and zero known vulnerabilities make it a safe choice. If you are not working with NeMo agents or do not need structured ATIF schemas, it is not applicable.
Install
nvidia-nat-atif on PyPI
pip
pip install nvidia-nat-atifuv
uv add nvidia-nat-atifpoetry
poetry add nvidia-nat-atifInstalling nvidia-nat-atif
Before you install
Low install friction with a single runtime dependency on pydantic. The package is actively maintained with recent commits and sits within the top 15000 PyPI packages by download volume.
License in practice
Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions—suitable for both open and commercial projects.
Quickstart
pip install nvidia-nat-atif
from nvidia_nat_atif import <schema_model>
import pydantic
# Use pydantic-validated ATIF schema models for agent data
Requires Python 3.11 or later (supports 3.11, 3.12, 3.13)
Verify before relying
- What specific ATIF schema models are included and their intended use cases within agent evaluation
- Whether this subpackage can be used independently or requires other NeMo Agent Toolkit components
- Performance characteristics or scalability limits for large-scale agent evaluation workflows
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 | 1 — pydantic |
| Maintenance | actively maintained — 58 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 173,911/month — #10,295 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: nvidia_nat_atif-1.8.0-py3-none-any.whl
Keywords: ai, agents, evaluation, atif
Tags
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