Trainwave CLI Guide

pip install trainwave-cli

wave --version

# Login to your account
wave auth login
 
# Create a new configuration
wave config
 
# Launch a training job
wave jobs launch
 
# Monitor the job
wave jobs logs -f

# Interactive browser login (recommended)
wave auth login
 
# Login with an API token
wave auth set-token your-api-token
 
# Verify login
wave auth whoami

# Launch with default config
wave jobs launch
 
# Launch with a specific config file
wave jobs launch --config custom-config.toml

# List all jobs
wave jobs list
 
# Stream logs in real-time
wave jobs logs -f
 
# Stream logs for a specific job
wave jobs logs -f j-xyz789

# Cancel a job
wave jobs cancel j-xyz789
 
# Stop a job
wave jobs stop j-xyz789

# Open web UI for configuration
wave config
 
# Create config in a specific location
wave config --output custom-config.toml

# List artifacts for a job
wave storage list j-xyz789
 
# Download artifacts
wave storage download j-xyz789 --output ./artifacts

# Set a secret
wave secrets set API_KEY=xyz123
 
# Set multiple secrets
wave secrets set \
  WANDB_API_KEY=abc123 \
  HUGGINGFACE_TOKEN=def456
 
# List all secrets
wave secrets list
 
# Delete a secret
wave secrets unset API_KEY

# List projects
wave projects list

# Start training
wave jobs launch --config train.toml
 
# Monitor progress
wave jobs logs -f
 
# Download results when done
wave storage download <job-id> --output ./results

# Verify authentication
wave auth whoami
 
# Re-authenticate
wave auth login

# View error logs
wave jobs logs <job-id>