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Installation

The Chamber CLI is currently in early access. Contact support@usechamber.com to get access.

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First-Time Setup

Chamber guides you through everything. Just run chamber login and follow the prompts. No manual configuration required.

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Step 1: Login

chamber login
This opens your browser to authenticate. After logging in, you’re automatically configured.
For CI/CD or headless servers, use token-based auth:
chamber login --token ch.your-api-token
Generate tokens in the Chamber Dashboard under Settings > API Tokens.
The AI Assistant (chamber chat) requires browser-based login and does not support API tokens.

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Step 2: Verify

chamber whoami
That’s it! You’re ready to submit workloads.

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Submit Your First Workload

Navigate to your training code and run: 
chamber run ./my-training-project --gpus 4 --team <team-id> --dry-run
First time? The --dry-run flag shows you exactly what Chamber will generate without actually building or submitting. Remove it when you’re ready to run for real.

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What happens next

If it’s your first time, Chamber will interactively guide you through:
  1. Registry setup — Choose Google Artifact Registry, AWS ECR, or another registry
  2. Docker installation — If Docker isn’t installed, Chamber offers to help
  3. Cloud CLI setup — If AWS CLI or gcloud isn’t configured, Chamber walks you through it
$ chamber run ./my-project --gpus 4 --team abc123

No container registry configured

Chamber needs a container registry to store your Docker images.

Select your registry type:

  [1] Google Artifact Registry (recommended for GCP users)
  [2] AWS ECR (recommended for AWS users)
  [3] Other Docker registry

Select an option [1]:
After the one-time setup, future runs are instant: 
# This just works now
chamber run ./my-project --gpus 4 --team abc123

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Optional: Set Your Organization

If you belong to multiple organizations, set a default: 
chamber config set organization_id your-org-id
Find your organization ID in the Chamber Dashboard under Settings > Organization.

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Shell Completion

Enable tab completion for faster workflows: 
# Add to ~/.bashrc
source <(chamber completion bash)

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Next Steps

AI Assistant

Ask about workloads, capacity, and more

Auto-Containerize

Submit training jobs with chamber run

Command Reference

Explore all available commands