openpay/
compliance/ PCI-DSS readiness package (scope-map,
pci-zero-architecture, hsm-kms-guidance,
qsa-checklist), citing PCI-DSS v4.0.1
requirements. (#1)
examples/pci-zero/ Runnable example demonstrating a deployment
where merchant code never touches a PAN. (#1)
crates/op-core/ Tokenized<Card> typestate + NetworkToken
+ CardNetwork + Cryptogram. (#2)
crates/op-rails-card/network_token/
NetworkTokenProvider trait + VTS adapter
+ MDES adapter, with deterministic stubs
behind a 'live' feature flag. (#2)
crates/op-driver-sdk/conformance/network_token.rs
Conformance harness for third-party
NetworkTokenProvider implementations. (#2)
crates/op-cli/src/ledger/ 'openpay ledger as-of' subcommand for
bi-temporal queries. (#3)
crates/op-orchestrator/src/telemetry.rs
OpenTelemetry span emission per
Payment<S> transition with semantic-
conventions tags. (#3)
docs/observability/ Grafana dashboard JSON + wiring guide
for the bi-temporal ledger lens. (#3)
smart-byte/
smart-byte-rs/ Rust reference implementation: envelope
encode/decode (canonical CBOR + BLAKE3
content addressing), Ed25519 sign +
verify, lockstep BFT commit MVP, Iroh
transport scaffold, CLI. (#4)
spec/identity_and_key_rotation.md
Adopts KERI SAIDs + key-event log
format; explicitly does not adopt ACDC
chaining wholesale. (#5)
conformance/v1/ 21 test vectors covering canonicalisation,
SAID computation, signature verification,
lockstep commit, gossip propagation.
CI gate enforces spec/vector coupling. (#6)
eoc/
eoc-rs/ Rust + WASM reference implementation:
4-stage cascade (cache -> kv -> graph ->
neural), joule counters via RAPL / NVML /
powermetrics, CLI, wasm-bindgen surface.
18 tests pass. (#7)
eoc-bench/ Benchmark harness, MT-Bench and Router
case sets, 'joules per MT-Bench point'
metric, 'eoc-bench run | compare' CLI. (#8)
standards/sci-for-ai-submission.md
Submission proposal mapping EOC's
receipt schema to GSF SCI-for-AI. (#9)
cookbook/ HuggingFace-style cookbook (markdown +
runnable Python) demonstrating EOC's
cascade with HF AI Energy Score. (#9)
docs/bench-v0.md Reproducibility doc for eoc-bench.
Workspace state:
- openpay clippy -- -D warnings: clean across all touched crates
- smart-byte-rs cargo test --workspace + clippy: clean
- eoc-rs cargo test --workspace + clippy: clean (18 tests)
- eoc-bench cargo check --workspace + clippy + 15 tests: clean
Rust 1.95.0 edition 2024 pinned at the open-standards root via
rust-toolchain.toml; every workspace inherits.
Closes #1 #2 #3 #4 #5 #6 #7 #8 #9.
108 lines
3 KiB
Rust
108 lines
3 KiB
Rust
//! EOC stage 4 — neural inference.
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//!
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//! The most expensive stage and the stage of last resort. This crate
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//! defines the trait surface and ships an `EchoBackend` for testing.
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//! Production deployments wire in real backends (llama.cpp, Ollama,
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//! Anthropic API, Triton, vLLM, etc.).
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#![forbid(unsafe_code)]
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use async_trait::async_trait;
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use eoc_cache::Stage;
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use eoc_core::{JouleCost, Query, Response, Stage as StageKind};
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/// A pluggable neural inference backend.
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#[async_trait]
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pub trait NeuralBackend: Send + Sync {
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/// Run inference for `q` and return a `Response`. Backends are
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/// expected to attach the most accurate joule cost they can compute;
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/// the cascade will trust whatever value is reported.
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async fn infer(&self, q: &Query) -> Response;
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}
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/// Synthetic backend used for tests and demos. Echoes the prompt back
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/// with a configurable joule cost.
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pub struct EchoBackend {
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/// Estimated cost in micro-joules per inference.
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pub estimated_microjoules: u64,
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/// Optional prefix added to the echoed payload.
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pub prefix: String,
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}
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impl EchoBackend {
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/// Construct an `EchoBackend` with a default prefix and synthetic cost.
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pub fn new() -> Self {
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Self {
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estimated_microjoules: 50_000_000, // 50 J — order-of-magnitude
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prefix: "echo: ".to_string(),
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}
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}
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/// Set the estimated cost.
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pub fn with_cost(mut self, microjoules: u64) -> Self {
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self.estimated_microjoules = microjoules;
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self
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}
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/// Set the prefix.
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pub fn with_prefix(mut self, prefix: impl Into<String>) -> Self {
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self.prefix = prefix.into();
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self
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}
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}
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impl Default for EchoBackend {
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fn default() -> Self {
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Self::new()
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}
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}
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#[async_trait]
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impl NeuralBackend for EchoBackend {
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async fn infer(&self, q: &Query) -> Response {
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Response::new(
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q.id,
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format!("{}{}", self.prefix, q.prompt),
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StageKind::Neural,
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JouleCost::estimated(self.estimated_microjoules),
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)
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}
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}
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/// The neural stage adapter — wraps any `NeuralBackend` as a `Stage`.
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///
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/// The neural stage *always* returns `Some` — it is the bottom of the
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/// cascade and the answerer of last resort.
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pub struct NeuralStage {
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backend: Box<dyn NeuralBackend>,
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}
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impl NeuralStage {
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/// Wrap a backend.
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pub fn new(backend: Box<dyn NeuralBackend>) -> Self {
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Self { backend }
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}
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}
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#[async_trait]
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impl Stage for NeuralStage {
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async fn try_resolve(&self, q: &Query) -> Option<Response> {
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Some(self.backend.infer(q).await)
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[tokio::test]
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async fn echo_backend_echoes() {
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let backend = EchoBackend::new().with_cost(123).with_prefix("> ");
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let stage = NeuralStage::new(Box::new(backend));
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let q = Query::new("hello");
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let r = stage.try_resolve(&q).await.expect("neural always answers");
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assert_eq!(r.payload, "> hello");
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assert_eq!(r.stage, StageKind::Neural);
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assert_eq!(r.joule_cost.microjoules, 123);
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}
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}
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