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sweeps-and-launch

sweeps-and-launch

Define and run W&B hyperparameter sweeps and W&B Launch jobs, queues, agents, and launch sweeps across local process, local container, Kubernetes, SageMaker, and Vertex resources.

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name: sweeps-and-launch description: "Define and run W&B hyperparameter sweeps and W&B Launch jobs, queues, agents, and launch sweeps across local process, local container, Kubernetes, SageMaker, and Vertex resources." disable-model-invocation: true metadata: disco-role: operating license: MIT

W&B Sweeps and Launch

Use this sub-skill when an agent needs to create sweep configs, register sweeps with wandb.sweep, run bounded sweep agents with wandb.agent or wandb agent, or submit W&B Launch jobs/queues/agents. Use other W&B sub-skills for basic wandb.init tracking, artifact/model registry I/O, or global CLI setup.

Route by task

  • Sweep definition and execution: Read references/sweeps.md for config shape, wandb.sweep, wandb.agent, wandb sweep, and wandb agent patterns.
  • Launch jobs and queues: Read references/launch.md for wandb launch, wandb job, wandb launch-agent, wandb launch-sweep, resource selection, and queue handoff patterns.
  • Failure repair: Read references/troubleshooting.md when configs are rejected, agents run forever, child processes ignore termination, Launch extras/backends are missing, or queue/resource/credential assumptions are unsafe.
  • Offline config linting: Run python scripts/validate_sweep_config.py path/to/sweep.yaml before creating a sweep when you need a safe local check for the required sweep keys and parameter shape.

Safe defaults

  • Prefer bounded sweep agents while iterating: pass count to wandb.agent(...) or --count to wandb agent unless the user explicitly wants continuous workers.
  • Use exactly one execution style per sweep: either a program in the sweep config for CLI agents or a Python function passed to wandb.agent; do not require both.
  • For Launch queues, choose --resource deliberately when the queue has no resource configuration: local-process, local-container, kubernetes, sagemaker, or gcp-vertex.
  • Treat cloud Launch examples as templates only. Do not invent credentials, IAM roles, Kubernetes contexts, container registries, S3/GCS buckets, or Vertex project/region values.
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