neurionpy 0.11.0

Python library with the neurion networks

NeurionPy

NeurionPy is the official Python SDK for interacting with the Neurion blockchain, a Cosmos SDK-based network designed for privacy-preserving AI, federated learning, and decentralized automation. NeurionPy provides developers with all the necessary tools to create wallets, sign transactions, and interact with various modules on the blockchain.

Features

• Wallet Management: Generate wallets from private keys, mnemonics, or existing addresses.
• Transaction Signing: Sign and broadcast transactions securely.
• Querying the Blockchain: Retrieve blockchain state, account balances, and contract data.
• Module Interactions: Full support for all Neurion modules:
  • Sanctum: Privacy-preserving dataset sharing and usage requests.
  • Crucible: Federated learning, model training, and validation.
  • Fusion: AI model aggregation and dispute resolution.
  • Ganglion: AI agent and workflow automation.
• GRPC & REST Support: Seamlessly interact with the Neurion blockchain via GRPC and REST APIs.

Installation

Install NeurionPy using pip:

pip install neurionpy

Package available on PyPI: NeurionPy

Getting Started

Importing NeurionPy

import grpc
from neurionpy.synapse.client import NeurionClient, NetworkConfig
from neurionpy.synapse.wallet import LocalWallet

Creating a Wallet

wallet = LocalWallet.from_mnemonic(
    "your mnemonic here",
    "neurion"
)
print("Address:", wallet.address)

Connecting to Neurion

client = NeurionClient(NetworkConfig.neurion_localnet(), wallet)

Module Interactions

Below are examples of interactions with the different Neurion modules. More operations are supported; refer to the API documentation for the full list.

Sanctum (Privacy-Preserving Dataset Management)

Example: Submitting a Dataset Application

tx = client.sanctum.tx.SubmitDatasetApplication(
    message=MsgSubmitDatasetApplication(
        creator=str(wallet.address()),
        encrypted_data_link="https://encrypted_data_link",
        explanation_link="https://explanation_link",
        contact="contact",
        stake=100000000,
        proof_of_authenticity="proof_of_authenticity",
        dataset_usage_fee=100000000
    )
)
print(f"TX {tx.tx_hash} submitted.")

Other available Sanctum operations:

• Approve dataset applications
• Request to use datasets
• Manage dataset processing

Crucible (Federated Learning & Model Validation)

Example: Registering as a Model Trainer

tx = client.crucible.tx.RegisterTrainer(
    message=MsgRegisterTrainer(
        creator=str(wallet.address()),
        task_id=1
    )
)
print(f"Trainer Registration TX: {tx.tx_hash}")

Other available Crucible operations:

• Submit training results
• Stake tokens to tasks
• Report model plagiarism

Fusion (AI Model Aggregation & Dispute Resolution)

Example: Proposing a Model for a Task

tx = client.fusion.tx.ProposeModel(
    message=MsgProposeModel(
        creator=str(wallet.address()),
        task_id=1,
        model_link="https://model_link",
        metadata_link="https://metadata_link"
    )
)
print(f"Model Proposal TX: {tx.tx_hash}")

Other available Fusion operations:

• Register as a proposer or validator
• Dispute model scores
• Claim rewards from tasks

Ganglion (AI Agent & Workflow Automation)

Example: Registering an AI Agent (Ion)

tx = client.ganglion.tx.RegisterIon(
    message=MsgRegisterIon(
        capacities=["SCRAPER", "EXTRACTOR"],
        stake=10000000,
        endpoints=["http://localhost", "http://66.63.66.66"],
        description="A scraper and extractor",
        input_schema='{"name":"string","flag":"boolean"}',
        output_schema='{"another_flag":"boolean","fullname":"string"}',
        fee_per_thousand_calls=18,
    )
)
print(f"Ion Registration TX: {tx.tx_hash}")

Other available Ganglion operations:

• Report and validate Ions
• Register and update pathways
• Stake and claim rewards from Ganglion

License

This project is licensed under the MIT License.

Disclaimer

Use NeurionPy at your own risk. Ensure you store private keys securely and follow best security practices when interacting with blockchain assets.