Minimal SDK Update #2
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Major changes: - Add Stoffel entry point with compile()/compile_file()/load() builder pattern - Add StoffelBuilder for MPC configuration (parties, threshold, protocol, etc.) - Add StoffelRuntime with program()/client()/server()/node() accessors - Add MPCClient, MPCServer, MPCNode participant classes with builders - Add NetworkConfig with TOML file support - Add advanced module with ShareManager and NetworkBuilder - Add ProtocolType, ShareType, OptimizationLevel enums - Add comprehensive exception hierarchy (StoffelError, MPCError, etc.) - Enforce minimum 3 parties for HoneyBadger MPC - Update branding consistency (Stoffel, not StoffelLang/StoffelVM) - Update all examples and tests for new API structure - Fix examples to work without compiler/VM bindings installed 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Major additions: - MPC Coordinator module for orchestrating computation phases - MockMPCCoordinator for local testing - CoordinatorClient for client-coordinator interaction - Session state management (preprocessing, inputs, compute, outputs) - Async networking layer using asyncio - MPCNetworkManager for connection management - TCP transport with handshake protocol - Message types for MPC communication - Network helpers for easy setup - Native ctypes bindings for Rust libraries - NativeCompiler using stoffellang.h C API - NativeVM using stoffel_vm.h C API - NativeShareManager for secret sharing operations - Updated MPC participants with full networking - MPCClient: connect_to_servers(), send_inputs(), receive_outputs() - MPCServer: start(), connect_to_peers(), run_computation() - Cleaned up examples folder - Single main.py example demonstrating coordinator workflow - Removed redundant example files The coordinator orchestrates WHEN computation phases happen, but does NOT perform computation - the nodes do. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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This PR ensures that the python SDK has feature parity with the Rust SDK. There's still a lot of work to do but this PR contains a minimal set of functionality that can be used.