ara-labs-sdk 1.0.2

Python SDK for ARA, the decision data plane: one temporally ordered record of every entity, feature, and decision your ML systems produce

ARA Python SDK

Python client for the ARA temporal ML feature store.

Quick Start

pip install ara-labs-sdk

from ara_store import ARAStore

store = ARAStore()  # localhost:50051-50055, 5 partitions

# Write features
store.write(entity_id=42, features={"score": 0.97, "clicks": 14})

# Read latest
vals = store.get_latest(entity_id=42, feature_names=["score", "clicks"])

# Point-in-time read
from datetime import datetime, timezone
snap = store.get_snapshot(42, ["score"], as_of=datetime(2025, 11, 1, tzinfo=timezone.utc))

Requirements

• Python 3.9+
• ARA server running (see quickstart)
• flatbuffers>=23.5.26

Retry Contract

Read APIs (get_latest, get_snapshot, get_snapshot_batch) already perform internal SDK retries for transient transport failures.

• Default: 3 retries (4 total attempts)
• Configure: ARA_SDK_READ_MAX_RETRIES
• Disable metadata injection (regression testing only): ARA_SDK_NO_METADATA=true

Recommendation: avoid wrapping these read APIs in an additional generic retry loop unless you intentionally want a larger total retry budget, since stacked retries can multiply request volume.

License

ARA Proprietary — see LICENSE.