open-standards/mesh
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Merge pull request 'jouleclaw-energy: per-process GPU energy on Apple Silicon; a shared GPU is never split by time' (#146) from jouleclaw-energy/apple-gpu-share into main
2026-10-05 20:52:16 -04:00
..
conformance/v1 wai.generate.spectral: extend the lexicon to 370 words (data-only, pin unchanged) 2026-06-27 05:33:47 -04:00
mesh-rs Merge pull request 'jouleclaw-energy: per-process GPU energy on Apple Silicon; a shared GPU is never split by time' (#146) from jouleclaw-energy/apple-gpu-share into main 2026-10-05 20:52:16 -04:00
tools/joules-per-decision mesh: withdraw the GPU per-decision figure — another process held 99.5% of the GPU 2026-10-05 07:20:58 -04:00
CONTRIBUTING.md wai.generate.spectral: extend the lexicon to 370 words (data-only, pin unchanged) 2026-06-27 05:33:47 -04:00
LICENSE wai.generate.spectral: extend the lexicon to 370 words (data-only, pin unchanged) 2026-06-27 05:33:47 -04:00
LICENSE-SPEC wai.generate.spectral: extend the lexicon to 370 words (data-only, pin unchanged) 2026-06-27 05:33:47 -04:00
README.md jouleclaw-energy: a live IOReport reading is a hardware reading, and only a live one 2026-09-30 20:17:13 -04:00
SPEC.md mesh: a typed decision is a unit of work this spec could not measure 2026-10-05 07:20:58 -04:00

Mesh

Energy-accounted inference serving & routing. One of the Transaction Science open standards.

Mesh treats every inference as a metered transaction. A request declares a joule ceiling and a fidelity floor; the mesh routes it to the cheapest-sufficient model on the cheapest-sufficient backend, serves it under an energy meter, and seals a receipt whose headline figure is microjoules per accepted output token — measured at the meter, not estimated from a price list.

The serving shelf reports dollars per token and tokens per second. Mesh reports the number that is physical, comparable across hardware, and impossible to inflate: the joule.

The shape

ServeRequest ──▶ authorise (JCP grant) ──▶ route (cheapest-sufficient)
                                              │
                                              ▼
                          meter ◀── serve (engine) ──▶ tokens
                                              │
                                              ▼
                         sealed JCR-1 receipt: µJ / accepted token

Four roles — caller, router, engine, steward — and four phases per serve: authorise, route, meter, seal. See SPEC.md §2.

The reference workspace

mesh-rs/ is a pure-Rust reference implementation:

Crate What it is
mesh-schema wire types — ServeRequest, Fidelity, two-part Energy, RouteDecision, ServeOutcome
mesh-router energy-weighted cheapest-sufficient routing with a full candidate audit
mesh-engine the ServingEngine interface + a deterministic, weights-free ReferenceEngine
mesh-engine-gguf a real backend (behind gguf): wraps the family's pure-Rust GGUF/Metal inference substrate so the mesh routes and meters actual model tokens
mesh-meter the meter window; an always-available estimator + an optional bridge to the family hardware meter (RAPL / NVML / Apple) behind hw-meter
mesh-receipt the mesh/1 receipt, JCR-1 sealing (det-CBOR + COSE_Sign1), and a hash-chained log
mesh-core the orchestration that ties authorise → route → meter → seal together
mesh-conformance the deterministic reference scenario, its checks, and the gen-vectors bin

Mesh rides on JCP (a serve request is authorised by a JCP grant; receipts seal in JCR-1), dispatches to runtimes such as JouleClaw, and routes across compute described by EOC and isolated by Sandbox. It introduces no new cryptography (see SPEC.md §9).

Run it

cd mesh-rs

# all crates green
cargo test --workspace
cargo clippy --workspace --all-targets

# end-to-end: mint a JCP grant, serve, print the sealed receipt
cargo run -p mesh-core --example demo

# on Linux/RAPL or a CUDA/NVML box, meter real silicon (HwShunt provenance, where
# the counter is live; a counter that is not live falls back to the estimator)
cargo run -p mesh-core --example demo --features hw-meter-rapl

# regenerate the published conformance vectors
cargo run -p mesh-conformance --bin gen-vectors -- ../conformance/v1

# serve a REAL model end-to-end through Mesh (Falcon-H1 0.5B), seal the receipt
cargo run --release -p mesh-engine-gguf --features gguf --bin serve_falcon -- \
    /path/to/falcon-h1-0.5b-instruct 12 "The capital of France is"

The serve_falcon run demonstrates the whole standard on real model tokens: a JCP grant authorises each request (an underfunded grant is refused before any decode runs), the cheapest-sufficient backend is chosen, the decode is metered, and a mesh/1 receipt is sealed and hash-chained across the session — e.g. prompt "The capital of France is" → " Paris. It is known for its historical landmarks", prompt "Photosynthesis is the process by which" → " plants convert sunlight into chemical energy in the form of", with both seals verifying and the chain's prev-links intact.

The demo prints the route (every backend weighed, with the reason each was kept or rejected), the honest energy provenance, and the wedge metric — then verifies the sealed envelope under the steward key.

Status

v0.1.0-draft.1. Reference workspace builds and tests green (mesh-schema, mesh-router, mesh-engine, mesh-meter, mesh-receipt, mesh-core, mesh-conformance); cargo clippy --all-targets warning-free; published vectors in conformance/v1/. The reference engine is deterministic and weights-free; production backends implement the same ServingEngine interface — mesh-engine-gguf (behind gguf) is a real one over the family's pure-Rust GGUF/Metal substrate, kept out of the default build so it needs no weights.