agentleFS
Sign inStart free
NVIDIAKnown publisherNVIDIA/nvcf/src/libraries/python/nv-cloud-function-helpers/AGENTS.md

nvcf / nv-cloud-function-helpers

AGENTS.md261 starsChanged 9 days agoApache-2.0View on GitHub

nv-cloud-function-helpers is a small Python library that wraps common tasks for code running inside an NVCF container: receiving inference requests, shaping responses, and interacting with NVCF runtime conventions. The shipped module is nv_cloud_function_helpers.nvcf_container. Language: Python (3.8 through 3.11 per pyproject.toml black config). License: Apache-2.0, covered by the umbrella repo-root LICENSE. From a local checkout of this umbrella repo: Declared in setup.py: Run the helper tests from this directory with pytest installed: Add regression coverage alongside helper changes. Tests use local…

The file

We split this AGENTS.md into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run the helper tests from this directory with pytest installed:

    line 35
  2. Very specific:

    Add regression coverage alongside helper changes.

    line 41

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

AGENTS.md

Project Overview

nv-cloud-function-helpers is a small Python library that wraps common tasks for code running inside an NVCF container: receiving inference requests, shaping responses, and interacting with NVCF runtime conventions. The shipped module is nv_cloud_function_helpers.nvcf_container.

Language: Python (3.8 through 3.11 per pyproject.toml black config). License: Apache-2.0, covered by the umbrella repo-root LICENSE.

Install

From a local checkout of this umbrella repo:

pip3 install setuptools
pip3 install ./src/libraries/python/nv-cloud-function-helpers

Runtime dependencies

Declared in setup.py:

  • Pillow >= 10.0.0

Layout

  • nv_cloud_function_helpers/ Python package (nvcf_container submodule).
  • setup.py, pyproject.toml packaging metadata.

Tests

Run the helper tests from this directory with pytest installed:

python3 -m pytest -q tests

Add regression coverage alongside helper changes. Tests use local fixtures and do not need a running Triton or NVCF service.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free