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How to let a coding agent set up and launch training jobs with Halo

Point Claude Code or Codex at the repo skills to choose parallelism and launch a Halo run.

Who it is forA developer who wants a coding agent to handle the config, parallelism choice, and launch steps for a training job.

The problemChoosing parallelism settings and debugging distributed runs takes experience that many teams do not have on hand.

The outcomeAn agent-run training job with parallelism settings chosen from the repo skills and a log of the launch.

What you need first

  • Docker installed on a host with an NVIDIA GPU (Hopper H100/H200 or Blackwell B200/B300 images are published)
  • Network access to public.ecr.aws to pull the Halo image anonymously
  • A Hugging Face model or the example configs in the examples/ folder
  • Enough GPU memory for the chosen model and method (the README shows single-GPU LoRA and 8-GPU runs)

Steps

  1. Pull the training image: docker pull public.ecr.aws/whitecircle/halo:hopper or the blackwell tag.
  2. If you want the agent CLI inside the image, build locally with the build argument --build-arg INSTALL_CLAUDE_CODE=1 as described in the coding agents section. (inferred, check the README)
  3. Open the skills folder in the repo: see skills/ for the launch, parallelism, debug, and rl-setup skills.
  4. Ask the agent to follow the parallelism skill and then run halo launch sft <target-config> -n 8 --dry-run before the real launch. (inferred, check the README)

Prompt for your agent

In the whitecircle/halo repo, use the skills/parallelism and skills/launch guides to choose settings for <target-config> and then run `halo launch sft` with --dry-run inside the Halo image. Expected output: a printed launch command with the chosen parallelism flags. Verify that the flags match one of the allowed EP, CP, TP, or ETP combinations before any real run.

Caveat. The README says the skills are discoverable by Claude Code and Codex, but it does not say how the agents authenticate or which model they use.

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