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OpenNodes Node Kit (Python) — MVP

Implements REQ-003 (subset): a reverse proxy that turns any OpenAI-compatible engine (vLLM, TGI, Ollama — all expose /v1) into a conforming ONP Node without touching the engine.

Requires Python ≥3.11. Dependencies: aiohttp, cryptography.

What it does

  • onp-node init — interrogates the engine's /v1/models, writes onp-node.toml (operator fills in pricing / data policy / identity) and generates an Ed25519 signing key.
  • onp-node serve — serves the signed Node Card at /.well-known/open-node.json, JWKS, the HTTP challenge endpoint, /onp/health, and proxies /v1/models + /v1/chat/completions with the ONP layer: header validation (409 offering-mismatch / price_changed), usage accounting (engine usage passed through; approximated when the engine omits it), and signed receipts — inline JWS header for non-streaming, by-URL (/onp/receipts/{id}, materialized after the stream ends) for streaming. Plain OpenAI traffic without ONP headers passes untouched (NK-INV-02) — existing engine users are unaffected.
  • onp-node check — client-side Stage A self-test (card, signature, health, models agreement, blind invocation with usage + receipt); register refuses to submit while it fails (NK-REG-04, --force overrides).
  • onp-node register <registry> — submits the card URL, stages the HTTP challenge token (the kit serves it itself), completes verification, prints the resulting tier + Stage A verdict.

Cross-language proof

tests/test_e2e.py runs a mock engine → the kit → the real JS registry as a subprocess: registration, challenge, card signature verification across languages (Python Ed25519 signer, JS verifier, byte-identical stable JSON), Stage A pass to community, search with real pricing, pinned invoke with Python-verified receipt math, streaming receipt-by-URL, both 409s, and untouched plain-OpenAI traffic.

python -m venv .venv
.venv\Scripts\python -m pip install aiohttp cryptography
.venv\Scripts\python -m unittest discover -s tests

Real deployment (e.g. Ollama on this machine)

pipx install onp-node            # from PyPI; from a checkout: pipx install ./node-kit
onp-node init --engine http://127.0.0.1:11434/v1 --id org.example.ai --public-url https://ai.example.org
# The node id must be the reverse of the host that serves it (ai.example.org -> org.example.ai, or a
# name below it such as org.example.ai.box): registries accept a card only from a host that controls the id.
# review onp-node.toml (pricing, data_policy), then:
onp-node serve                   # add --mdns (pip install 'onp-node[mdns]') so LAN clients such as onp-ollama discover it
onp-node check
onp-node register https://registry.example.org

MVP shortcuts (vs REQ-003)

  • Prepaid API-key management (onp-node keys), free-tier rate limiting, probe-allowance accounting, Prometheus metrics, status UI: not yet built (NK-PAY-02/03, NK-INV-04, NK-REG-05).
  • Engine adapters beyond the OpenAI-compatible surface (Ollama /api/tags fallback, TGI /info details, capability probing for tool_calls/vision) are minimal: models come from /v1/models only, supports defaults to ["streaming"].
  • Card revision changes require a serve restart; no apply/ping-on-revision yet (NK-REG-02).
  • TLS termination is assumed to happen in front (reverse proxy/ingress).

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