avala 0.5.0

Official Python SDK for the Avala API

Avala Python SDK

Official Python SDK for the Avala API. Build and manage ML annotation datasets, projects, exports, and tasks programmatically.

Note: This repository is a read-only mirror. To report bugs or request features, please open an issue. See CONTRIBUTING.md for details.

Installation

pip install avala

Requires Python 3.9+.

Quick Start

from avala import Client

client = Client()  # reads AVALA_API_KEY env var

# List datasets
page = client.datasets.list(limit=10)
for dataset in page:
    print(dataset.uid, dataset.name)

# Get a specific dataset
dataset = client.datasets.get("dataset-uid")

# Create an export
export = client.exports.create(project="project-uid")
print(export.uid, export.status)

# List tasks with filters
tasks = client.tasks.list(project="project-uid", status="completed")

Authentication

The client reads your API key from the AVALA_API_KEY environment variable by default:

export AVALA_API_KEY="avk_your_api_key"

Or pass it explicitly:

client = Client(api_key="avk_your_api_key")

Async Support

from avala import AsyncClient

async with AsyncClient() as client:
    page = await client.datasets.list()
    for dataset in page:
        print(dataset.name)

Pagination

All .list() methods return a CursorPage that supports iteration:

page = client.datasets.list(limit=20)

for dataset in page:
    print(dataset.name)

# Manual pagination
if page.has_more:
    next_page = client.datasets.list(cursor=page.next_cursor)

Error Handling

from avala.errors import AvalaError, NotFoundError, RateLimitError, AuthenticationError

try:
    dataset = client.datasets.get("nonexistent")
except NotFoundError:
    print("Dataset not found")
except RateLimitError:
    print("Rate limited")
except AuthenticationError:
    print("Invalid API key")
except AvalaError as e:
    print(f"API error: {e}")

CLI Tool

Install with CLI extras for a command-line interface:

pip install avala[cli]

avala configure                    # Interactive API key setup
avala datasets list                # List datasets
avala projects list                # List projects
avala exports create <project-uid> # Create an export
avala storage-configs list         # List storage configs
avala agents list                  # List automation agents
avala inference-providers list     # List inference providers
avala auto-label list              # List auto-label jobs
avala quality-targets list -p <uid> # List quality targets
avala consensus summary -p <uid>   # Get consensus summary
avala webhooks list                # List webhook subscriptions

Available Resources

Resource	Methods	Description
client.datasets	list(), get(uid)	Browse and inspect datasets
client.projects	list(), get(uid)	Browse and inspect projects
client.exports	list(), get(uid), create()	Create and manage annotation exports
client.tasks	list(), get(uid)	Browse tasks with project/status filters
client.storage_configs	list(), create(), test(), delete()	Manage cloud storage connections
client.agents	list(), get(), create(), update(), delete(), list_executions(), test()	Manage automation agents
client.inference_providers	list(), get(), create(), update(), delete(), test()	Manage inference providers
client.auto_label_jobs	list(), get(), create()	Batch auto-labeling jobs
client.quality_targets	list(), get(), create(), update(), delete(), evaluate()	Project quality targets
client.consensus	get_summary(), list_scores(), compute(), get_config(), update_config()	Consensus scoring
client.webhooks	list(), get(), create(), update(), delete(), test()	Manage webhook subscriptions
client.webhook_deliveries	list(), get()	Inspect webhook delivery logs

Documentation

• Python SDK Guide
• API Reference
• Quickstart
• Examples

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT - see LICENSE for details.