@tortoise-os/ai-integration

AI/TEE integration package for TortoiseOS.

Features

• Walrus Storage: Decentralized storage for AI model weights and datasets
• Nautilus TEE: Trusted Execution Environment for secure AI inference
• Model Management: Store, retrieve, and version AI models

Usage

Walrus Storage

import { createWalrusClient } from "@tortoise-os/ai-integration";

const walrus = createWalrusClient({
  endpoint: process.env.WALRUS_ENDPOINT!,
  bucketId: process.env.WALRUS_BUCKET_ID,
});

// Store model weights
const hash = await walrus.storeModelWeights("model-v1", weights);

// Retrieve model weights
const weights = await walrus.retrieveModelWeights(hash);

Nautilus TEE

import { createNautilusClient } from "@tortoise-os/ai-integration";

const nautilus = createNautilusClient({
  endpoint: process.env.NAUTILUS_TEE_ENDPOINT!,
  apiKey: process.env.NAUTILUS_API_KEY,
});

// Execute in TEE
const { result, attestation } = await nautilus.executeInTEE(modelHash, input);

// Verify attestation
const valid = await nautilus.verifyAttestation(attestation);

Configuration

Set environment variables:

WALRUS_ENDPOINT=https://walrus-testnet.mystenlabs.com
WALRUS_BUCKET_ID=your-bucket-id
NAUTILUS_TEE_ENDPOINT=your-tee-endpoint
NAUTILUS_API_KEY=your-api-key

AI Models in TortoiseOS

1. AMM Adaptive Fee Oracle: ML volatility model
2. Vault RL Optimizer: Reinforcement learning for yield optimization
3. Stablecoin NFT Valuator: Vision + NLP for NFT collateral valuation
4. Arb GNN Signal Generator: Graph neural network for arbitrage detection
5. Bridge Route Selector: LangChain multi-agent for cross-chain routing
6. RWA Provenance Auditor: LLM for document fraud detection
7. BTCfi Correlat forecast: LSTM for BTC-SUI correlation prediction
8. Privacy Vault Optimizer: Homomorphic encryption + EZKL proofs
9. Prediction Oracle: Ensemble AI resolvers
10. Orderbook Prophet Forecaster: Prophet-based liquidity prediction

License

MIT