NVIDIA-NeMo / NVIDIA-NeMo/Gym

Add the NOOA capability fixture and documentation

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@init-nikhil is already working on this.

Since Sep 17, 2026.

area:agent feature
Dominant language
Python
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Description

Parent

Sub-issue of #2096.

Description

Add a self-contained NOOA capability example that exercises a calculated answer, exact-match verification, Gym model routing, and generated resource tools. Document how users configure and run NOOA agents in Gym.

Acceptance criteria

  • The capability fixture runs end to end and receives reward.
  • The example covers model access and generated Gym tools.
  • The verifier checks the agent result deterministically.
  • Documentation explains configuration, execution, and expected output.
  • The existing NOOA end-to-end harness covers the fixture.

Implementation

Tracked by #3432.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

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