neuron-tai/.scratch/distributed-inference-network/issues/01-monorepo-scaffold.md

Status: ready-for-agent

01 — Monorepo scaffold + single-node smoke test

What to build

Stand up the monorepo package layout and prove that a client HTTP request can travel end-to-end through the stack — gateway → one node serving all layers → valid response — before any real model or distributed logic is wired in.

The six top-level packages should exist with minimal stubs:

• packages/node — node client CLI (meshnet-node)
• packages/gateway — HTTP gateway + route orchestration
• packages/tracker — node registry and route selection
• packages/sdk — meshnet Python SDK
• packages/contracts — Solana smart contract wrappers
• packages/p2p — gossip and shard swarm

The smoke test uses a tiny in-process stub model (not a real LLM) so the test is fast and has no external dependencies. The node runs in the same process as the test. The gateway is a real HTTP server. The client sends a real POST /v1/chat/completions request and receives a valid OpenAI-format response.

Acceptance criteria

• pip install -e packages/node packages/gateway packages/tracker works from repo root
• meshnet-node, meshnet-gateway, and meshnet-tracker CLI entry points exist
• A single integration test starts a gateway and one stub node in-process, sends a POST /v1/chat/completions request, and asserts a valid OpenAI-format response is returned
• The test passes with pytest from repo root with no external services running
• All six package directories exist with pyproject.toml and an importable top-level module

Blocked by

None — can start immediately.