Skip to main content

Unified SDK experience for AILOOS federated AI nodes

Project description

AILOOS SDK

AILOOS is a robust Python library for participating in decentralized federated learning networks. This SDK enables nodes to join training sessions, contribute processing power, and interact with the Ailoos ecosystem securely.

Features

  • Federated Learning: Participate in distributed model training sessions using FedAvg and other advanced algorithms.
  • Privacy First: Secure key management and encrypted P2P communication (ECDSA + ECDH).
  • Decentralized Marketplace: Interact with the data marketplace to list or purchase datasets.
  • Hardware Integration: Smart capabilities detection for optimal workload assignment.

Node Roles

AILOOS supports 7 specialized node roles:

  1. Scout: Lightweight discovery and inference.
  2. Forge: heavy-duty model training.
  3. Validator: ZKP verification and auditing.
  4. Aggregator: Secure model aggregation.
  5. Oracle: Trusted external data provider.
  6. Archival: Long-term storage history.
  7. Relay: Cross-chain bridging.

See Full Node Roles Documentation for details.

Network Scales

AILOOS organizes nodes into 5 intelligence scales:

  1. Sovereign (El Átomo): 1 Node.
  2. Binary (Binario): 2 Nodes. (Small personal networks)
  3. Phalanx (La Escuadra): 3-20 Nodes.
  4. Foundry (La Fundición): 100-5k Nodes.
  5. Nexus (El Coloso): 100k+ Nodes.

Installation

AILOOS features a modular installation system to ensure high performance even on lightweight nodes:

# 1. Base Terminal & P2P Networking (For Scouts, Relays, Validators)
pip install ailoos

# 2. Heavy Computational Node (For Forge, requires PyTorch & Deep Learning engines)
pip install "ailoos[forge]"

Note: If you intend to train or run local inference via the ailoos-terminal, you MUST install the [forge] extension.

Initialize a Node

import asyncio
from ailoos.sdk.node_sdk import NodeSDK

async def main():
    # Initialize the node
    node = NodeSDK(node_id="my-ai-node-01")
    
    # Connect and start participating
    await node.initialize()
    await node.start()
    
    # Keep running
    while True:
        await asyncio.sleep(1)

if __name__ == "__main__":
    asyncio.run(main())

Advanced Usage

For granular control over components:

from ailoos.sdk.advanced_client import create_ailoos_node

async def run_advanced():
    # Create node with specific capabilities
    node = await create_ailoos_node(
        node_id="advanced-node-01",
        enable_marketplace=True,
        enable_federated=True
    )
    
    # Search for datasets
    datasets = await node.search_datasets(query="satellite imagery")
    print(f"Found {len(datasets)} datasets")

    # Join a training session
    await node.join_training_session("session_v1_xyz")

Requirements

  • Python 3.8+
  • Network connectivity for P2P and Federation

License

Proprietary and Confidential. Copyright © 2026 Empoorio INC. All Rights Reserved. See LICENSE for full terms.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ailoos-4.5.1.tar.gz (5.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ailoos-4.5.1-py3-none-any.whl (6.4 MB view details)

Uploaded Python 3

File details

Details for the file ailoos-4.5.1.tar.gz.

File metadata

  • Download URL: ailoos-4.5.1.tar.gz
  • Upload date:
  • Size: 5.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for ailoos-4.5.1.tar.gz
Algorithm Hash digest
SHA256 bb972013c47055262df3c535d8fa1d0201e7a9d90534623e33c1bafa64b61e30
MD5 6c6cf75a20410494228b8380df95fa14
BLAKE2b-256 a1b2ce49c9d9117efd4a146e8ee938194dfd26c6f45cfb710b374f1c09f27c5d

See more details on using hashes here.

File details

Details for the file ailoos-4.5.1-py3-none-any.whl.

File metadata

  • Download URL: ailoos-4.5.1-py3-none-any.whl
  • Upload date:
  • Size: 6.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for ailoos-4.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1dfde5f5186f8365586db8fc2ec8029914649428e34e841315fa431ce79b5b8e
MD5 580cacd74cccb9db88eccd4849a59fc6
BLAKE2b-256 09b1e4acaf98c727b729fbfbd1b116a7234821bd5f3e033c2e9b5cffbea1e937

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page