# Documentation for Kamiwaza 0.9.3

This is documentation for Kamiwaza **0.9.3**, which is no longer actively maintained. For the current GA release, see [**1.0.1**](https://docs.kamiwaza.ai/).

Version: 0.9.3

## Overview

The Lab Service (`LabService`) provides comprehensive lab environment management for the Kamiwaza AI Platform. Located in `kamiwaza_client/services/lab.py`, this service handles the creation, management, and deletion of lab environments for development and experimentation.

## Key Features

- Lab Environment Management
- Lab Creation and Deletion
- Lab Information Retrieval
- Resource Management

## Lab Management

### Available Methods

- `list_labs() -> List[Lab]`: List all labs
- `create_lab(lab: CreateLab) -> Lab`: Create new lab
- `get_lab(lab_id: UUID) -> Lab`: Get lab info
- `delete_lab(lab_id: UUID) -> None`: Delete lab

```python
# List all labs

labs = client.lab.list_labs()

for lab in labs:

print(f"Lab: {lab.name} (ID: {lab.id})")

# Create new lab

lab = client.lab.create_lab(CreateLab(

name="development-lab",

description="Development environment",

resources={

"cpu": 4,

"memory": "16Gi",

"gpu": 1

}

))

# Get lab details

lab = client.lab.get_lab(lab_id)

print(f"Lab Status: {lab.status}")

print(f"Resources: {lab.resources}")

# Delete lab

client.lab.delete_lab(lab_id)
```

## Integration with Other Services

The Lab Service works in conjunction with:

1. Cluster Service  
   - For resource allocation
2. Authentication Service  
   - For access control
3. Activity Service  
   - For tracking lab usage

## Error Handling

The service includes built-in error handling for common scenarios:

```python
try:

lab = client.lab.create_lab(lab_config)

except ResourceError:

print("Insufficient resources")

except QuotaError:

print("Lab quota exceeded")

except APIError as e:

print(f"Operation failed: {e}")
```

## Best Practices

1. Clean up unused labs
2. Use descriptive lab names
3. Monitor resource usage
4. Implement proper error handling
5. Set appropriate resource limits
6. Document lab purposes
7. Regular status checks
8. Maintain lab inventory

## Performance Considerations

- Resource allocation affects startup time
- Concurrent lab limits
- Resource quotas
- Network bandwidth requirements
- Storage requirements

## Lab States

Labs can be in various states:

1. Creating
   - Initial setup
   - Resource allocation
2. Running
   - Fully operational
   - Resources allocated
3. Stopping
   - Cleanup in progress
4. Stopped
   - Resources released
5. Failed
   - Setup or operation failed