NVIDIA-NeMo / NVIDIA-NeMo/Gym

Multi Turn Environment Tutorial

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@arti4nvj is already working on this.

Since Mar 16, 2026.

community-request documentation
Dominant language
Python
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Description

Background

This should be a guided walkthrough similar to the multi-step environment tutorial, that provides guidance on what multi-turn means, why the recommended design is to manage this via the agent server, different approaches to simulating the user.

Problem

Users need guidance on:

  • What "multi-turn" means
  • How to structure multi-turn tasks
  • Different approaches to simulating user responses
  • How to maintain conversation state and handle termination
  • How to verify success in multi-turn tasks
Acceptance Criteria
  • Multi-Turn Environment

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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