Files
neuron-tai/packages/node/native
Dobromir Popov 7da90ef475 feat: implement numbered patch-stack apply/verify enforcement (DGR-028)
Split the range-loader patch into single-concern patches 0002-0005 (loader,
filtered state report, boundary I/O endpoint guard, worker range-report
hook), add UPSTREAM-ASSUMPTIONS.json describing each patch's assumptions,
and enforce control-plane/license boundary checks plus first-incompatible-
patch reporting in scripts/llama_cpp_dependency.py apply/reverse/verify.

7 passed in tests/test_llama_cpp_dependency.py; SHA256SUMS verified against
all five patches; focused native CTest (test-meshnet-range-ownership 1/1)
recorded in evidence README (build/ dir not present in this environment to
independently reverify).
2026-07-21 13:22:55 +03:00
..

Native Shard protocol

proto/shard_runtime.proto is the semantic contract between a Meshnet node and a Shard worker: Protocol Buffers over gRPC/HTTP2 (ADR-0020). It is the source of truth. The Python and C++ types are generated from it; neither is the contract.

What lives here

Path Purpose
proto/shard_runtime.proto The schema: capability, health, session stream, release, cancel
testdata/*.binpb Committed conformance vectors both languages assert against
tests/test_shard_protocol_conformance.cpp C++ conformance test
CMakeLists.txt C++ generation, build wiring, and ctest registration

The Python stubs are generated into packages/node/meshnet_node/native_protocol/generated/ and are committed, so installing a node needs no protoc. The C++ stubs are generated into the build tree and are never committed — a C++ consumer already has a toolchain, and a committed copy could only rot.

Regenerating

pip install grpcio-tools==1.82.1          # bundles protoc; no system protoc needed
python scripts/generate_native_protocol.py           # rewrite the Python stubs
python scripts/generate_native_protocol.py --check   # fail if they drifted
python scripts/generate_protocol_goldens.py --check  # fail if the vectors drifted

Both --check modes run in CI via tests/test_native_shard_protocol.py, so a schema edit that is not accompanied by regenerated output fails the suite rather than shipping stubs that disagree with the schema they claim to implement.

DGR-006 decode and tail compatibility

DecodeStep.bundle is the versioned TensorBundle fast-path boundary. It is authoritative whenever present and supports architecture sidebands. The original DecodeStep.tensor remains readable as the compact one-tensor encoding for certified boundaries that need only one tensor; new readers wrap it into a one-member bundle. Tail completions use TailResult, which binds logits or a sampled token to request/recipe identity and sampling/template/reasoning inputs.

Building and running the C++ conformance test

If the machine has no protobuf C++ toolchain:

bash scripts/bootstrap_native_toolchain.sh build/native-toolchain

Then:

cmake -S packages/node/native -B build/native \
      -DCMAKE_PREFIX_PATH="$PWD/build/native-toolchain"
cmake --build build/native -j
ctest --test-dir build/native --output-on-failure

The bootstrap pins and builds Protobuf 33.1, gRPC C++ 1.82.1, and the matching grpc_cpp_plugin into one ignored prefix. CMake requires those exact package versions and always generates both message and service stubs; it does not fall back to an arbitrary system plugin.

How the cross-language check actually proves something

Two codecs that each round-trip their own output prove only that each is self-consistent. Instead:

  1. Python builds the canonical message and commits its bytes to testdata/.
  2. The C++ test parses those bytes, asserts every field, independently recomputes the CRC32C from the polynomial, and re-serializes to cpp_roundtrip.binpb in the build tree.
  3. test_cpp_and_python_agree_byte_for_byte compares that file to the golden.

Byte equality across the two implementations is the claim; anything less is two parallel test suites that can drift apart.