deploy-physics-agent-docker

Deploy physics-agent-service locally with Docker Compose and OVRTX GPU sidecar.

179|21|Updated Apr 28, 2026
One-click install
npx skills add https://github.com/NVIDIA-Omniverse/content-agents --skill deploy-physics-agent-docker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deploy-physics-agent-docker
Source: https://github.com/NVIDIA-Omniverse/content-agents/tree/main/.agents/skills/deploy-physics-agent-docker
Command: npx skills add https://github.com/NVIDIA-Omniverse/content-agents --skill deploy-physics-agent-docker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates local deployment of the physics-agent-service using Docker Compose with the bundled OVRTX GPU sidecar, removing setup friction and enabling rapid experimentation.

Core Features & Use Cases

  • Docker Compose stack for physics-agent-service and OVRTX rendering API.
  • Configures VLM provider credentials via a repo-root .env file for secure, repeatable deployments.
  • Clear start/stop and health-check guidance for reliable local testing on GPU-enabled machines.
  • Use Case: Developers can validate physics pipelines locally with GPU rendering before integrating into CI/CD.

Quick Start

Start the local physics agent deployment by running the Docker Compose stack from the repository root.

Frequently Asked Questions about deploy-physics-agent-docker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a physics agent locally with Docker Compose?

To deploy the physics agent locally with Docker Compose, run the bundled stack from the repository root. This starts the physics-agent-service alongside the OVRTX GPU sidecar for local testing and validation.

Do I need an NVIDIA GPU to run the OVRTX physics agent Docker stack?

Yes, running the OVRTX physics agent Docker stack requires an NVIDIA GPU. You must also install the NVIDIA Container Toolkit and Docker Compose v2.24+ for the GPU-enabled rendering sidecar to function.

What is the OVRTX GPU sidecar used for in local physics agent deployments?

The OVRTX GPU sidecar provides a rendering API for the physics-agent-service. It enables GPU-accelerated rendering during local testing and validation before integrating physics pipelines into CI/CD.

How do I configure VLM provider credentials for a Docker Compose physics deployment?

Configure VLM provider credentials for a Docker Compose physics deployment by creating a repo-root .env file. This secures your local stack and ensures repeatable deployments across testing environments.

Does the physics agent Docker stack support validation without GPU rendering?

No, the physics agent Docker stack targets GPU-enabled machines specifically. It requires an NVIDIA GPU and the NVIDIA Container Toolkit to execute the OVRTX rendering API for local testing.

What's the best way to manage start and stop operations for a local Docker physics agent?

The best way to manage start and stop operations for a local Docker physics agent is using Docker Compose commands. The stack includes clear health-check guidance to ensure reliable local testing on GPU-enabled machines.