skillfed

nvidia-nat-atif

Subpackage for ATIF schema models in NVIDIA NeMo Agent Toolkit

nvidia-nat-atif v1.8.0 173.9K downloads/30d#10,295 on PyPI2,576
Permissive license Apache-2.0 Active released

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-atif

uv

uv add nvidia-nat-atif

poetry

poetry add nvidia-nat-atif

Installing 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

Programming Language :: PythonProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13

Tags

atif schema modelsnemo agent toolkitagent evaluation frameworkstructured agent datanvidia nemo agentsagent interaction schemasnemo toolkit subpackage
agent-toolkitschema-validationnvidia-nemo

More Artificial Intelligence packages

Further reading