Contribution guide
The toolkit features:
One-Click Compliance: Automatic data sovereignty tagging (GDPR/HIPAA/CCPA)
Proof Playground: Local simulation of TEE-ZK workflows
Elastic Scaling: Mid-inference resource expansion via RTU spot purchases
Model Royalties: 15% revenue share for popular AI agents via SAI streams
// Development example
@verifiable_ai(model="deepseek-R1", proof_layers=[8,16,24])
def predict_market(self, input):
with tee_context(): # TEE-protected execution
return generate_trade_signal(input)
@deep_sol.agent(zk_layers=[8,16,24], compliance="GDPR")
def diagnose_medical_image(image):
with tee_shield(): # Auto-encrypted execution
result = cancer_model.predict(image)
return result, zk_proof.generate()Last updated