CLI

export AVALA_API_KEY="avk_your_api_key"

avala --api-key avk_your_api_key datasets list

avala configure

# List all datasets
avala datasets list

# Limit results
avala datasets list --limit 10

# Get a specific dataset
avala datasets get <uid>

# List all projects
avala projects list

# Get a specific project
avala projects get <uid>

# List all tasks
avala tasks list

# Limit results
avala tasks list --limit 50

# Get a specific task
avala tasks get <uid>

# List all exports
avala exports list

# Get export details
avala exports get <uid>

# Create a new export
avala exports create --project <uid>
avala exports create --dataset <uid>

# List storage configurations
avala storage-configs list

# Add an S3 bucket
avala storage-configs create \
  --name "Production S3" \
  --provider aws_s3 \
  --s3-bucket-name my-bucket \
  --s3-bucket-region us-west-1 \
  --s3-access-key-id $AWS_ACCESS_KEY_ID \
  --s3-secret-access-key $AWS_SECRET_ACCESS_KEY

# Add a GCS bucket
avala storage-configs create \
  --name "Production GCS" \
  --provider gc_storage \
  --gc-bucket-name my-gcs-bucket \
  --gc-auth-json '{"type":"service_account",...}'

# Test a storage connection
avala storage-configs test <uid>

# Delete a storage config (prompts for confirmation)
avala storage-configs delete <uid>

# List agents
avala agents list

# Get agent details
avala agents get <uid>

# Create an agent
avala agents create \
  --name "QA Bot" \
  --events "task.completed,result.submitted" \
  --callback-url https://example.com/hook

# Delete an agent (prompts for confirmation)
avala agents delete <uid>

# List executions for an agent
avala agents executions <uid>

# Test an agent
avala agents test <uid>

# List webhooks
avala webhooks list

# Get webhook details
avala webhooks get <uid>

# Create a webhook
avala webhooks create \
  --target-url https://example.com/webhook \
  --events "task.completed,export.ready"

# Delete a webhook (prompts for confirmation)
avala webhooks delete <uid>

# Test a webhook
avala webhooks test <uid>

# List webhook deliveries
avala webhooks deliveries

# List quality targets for a project
avala quality-targets list --project <uid>

# Get a specific quality target
avala quality-targets get --project <uid> <target_uid>

# Create a quality target
avala quality-targets create \
  --project <uid> \
  --name "Accuracy Target" \
  --metric accuracy \
  --threshold 0.95 \
  --operator gte \
  --severity critical

# Delete a quality target (prompts for confirmation)
avala quality-targets delete --project <uid> <target_uid>

# Evaluate all quality targets for a project
avala quality-targets evaluate --project <uid>

# Get consensus summary for a project
avala consensus summary --project <uid>

# List consensus scores
avala consensus scores --project <uid>

# Compute consensus scores
avala consensus compute --project <uid>

# View or update consensus config
avala consensus config --project <uid>
avala consensus config --project <uid> --iou-threshold 0.7 --min-annotations 3

# List inference providers
avala inference-providers list

# Get provider details
avala inference-providers get <uid>

# Create a provider
avala inference-providers create \
  --name "My SageMaker" \
  --provider-type sagemaker \
  --config '{"endpoint": "my-endpoint", "region": "us-east-1"}'

# Delete a provider (prompts for confirmation)
avala inference-providers delete <uid>

# Test provider connection
avala inference-providers test <uid>

# List auto-label jobs
avala auto-label list

# Filter by project
avala auto-label list --project <uid>

# Get job details
avala auto-label get <uid>

# Create an auto-label job
avala auto-label create \
  --project <uid> \
  --model-type sam3 \
  --confidence-threshold 0.85 \
  --labels "car,truck"

# Cancel a running job (prompts for confirmation)
avala auto-label cancel <uid>

# List online devices
avala fleet devices list --status online

# Register a new device
avala fleet devices register --name "robot-arm-01" --type manipulator --firmware "2.4.1"

# List recordings for a device
avala fleet recordings list --device dev_abc123 --since 7d

# Create a timeline event
avala fleet events create --recording rec_abc123 --type anomaly --label "Gripper force spike"

# List recording rules
avala fleet rules list

# List active alerts
avala fleet alerts list --status open

avala configure

# See what datasets you have
avala datasets list

# Export annotations from a project
avala exports create --project proj_abc123

# Check export status
avala exports get exp_xyz789

# Connect an S3 bucket
avala storage-configs create \
  --name "Training Data" \
  --provider aws_s3 \
  --s3-bucket-name ml-training-data \
  --s3-bucket-region us-east-1 \
  --s3-access-key-id $AWS_ACCESS_KEY_ID \
  --s3-secret-access-key $AWS_SECRET_ACCESS_KEY

# Verify the connection works
avala storage-configs test sc_abc123

# In your CI pipeline
export AVALA_API_KEY="${AVALA_API_KEY}"

# Trigger an export and capture the UID
avala exports create --project proj_abc123