01d4ad9c7b
openpay/ (+3 crates, ~8400 LOC, 162 tests)
op-iso8583/ ISO 8583 messages for direct acquirer / card-network
connectivity. MTIs, primary+secondary bitmaps, full
DE catalogue, BCD/ASCII/EBCDIC/LLVAR/LLLVAR codecs,
five dialects (Visa Base I, Mastercard MDS, Amex GNS,
Discover, JCB), network-management messages
(sign-on/echo/cutover), DE 55 EMV TLV.
op-mobile-wallets/ Apple Pay (ECDH-P256 + AES-256-GCM), Google Pay ECv2
(ECDH + HKDF + AES-256-CTR + HMAC), Samsung Pay. PAN
never leaves the decryption boundary as a String;
lands in VaultRef. No-PAN-leakage assertions per
wallet.
op-routing/ Least-cost routing + MCC-aware routing + intelligent
retry / soft-decline recovery. 231-MCC catalogue.
Real ISO 8583 DE-39 soft/hard decline taxonomies.
smart-byte/smart-byte-rs/ (+3 crates, ~7100 LOC, 96 tests)
smart-byte-vc/ W3C Verifiable Credentials 2.0: VCDM, presentations,
Data Integrity proofs (eddsa-jcs-2022), VC-JWT,
SD-JWT (selective disclosure), Bitstring Status
List 2021. Cargo-bridge maps VCs to Smart Byte
envelopes with SAID stability.
smart-byte-did/ W3C DID resolution: did:key (Ed25519/P-256/secp256k1),
did:web (HTTPS), did:peer (numalgo 2+4), did:jwk,
did:ion (feature-gated stub). DID URL dereferencer.
smart-byte-pq/ Post-quantum signatures: ML-DSA-44/65/87 (FIPS 204),
SLH-DSA across 12 parameter sets (FIPS 205), FN-DSA
(draft FIPS 206, feature-gated). Hybrid Ed25519 +
ML-DSA pattern for the transition. Secret-key
zeroize-on-drop.
eoc/eoc-rs/ (+3 crates, ~6450 LOC, 76 tests)
eoc-vendor-api/ NeuralBackend implementations: Anthropic, OpenAI,
Google, Mistral, Cohere, Groq, Together, Fireworks.
SSE streaming. Prompt-caching where supported.
Joule estimates per published energy coefficient
(12-model curated table).
eoc-embeddings/ 21 embedding models behind one Embedder trait:
OpenAI v3 (3), Cohere v3 (3), Voyage (5), Mistral,
Jina, plus local ONNX (BGE x3, nomic, mxbai, GTE,
E5) behind 'local' feature. Matryoshka-style
dimension projection. Per-content-hash cache.
eoc-route-learned/ RouteLLM-style matrix-factorisation router +
multinomial-logreg classifier + LinUCB / Thompson
bandits for online learning. LearnedCascade wraps
the rule-based cascade with a confidence-threshold
skip policy. Synthetic-eval accuracy: MF 0.935,
LogReg 0.980.
Quality:
- cargo check across all three workspaces: clean
- cargo clippy --all-targets -- -D warnings on every new crate: clean
- 334 new tests total; all passing
- #![forbid(unsafe_code)] across every new crate
- No unwrap/expect outside #[cfg(test)]
Rust 1.95.0 edition 2024 (inherited via root rust-toolchain.toml).
132 lines
3.1 KiB
JSON
132 lines
3.1 KiB
JSON
{
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"_comment": "Per-model energy coefficients for embedding inference. Coefficients are micro-joules per input token, derived from published vendor disclosures, datacenter PUE adjustments, and conservative scaling from public benchmarks. Sources noted per row. These are ESTIMATES — replace with measured values when hardware counters are available.",
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"_chars_per_token": 4.0,
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"models": [
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{
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"name": "text-embedding-3-small",
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"vendor": "openai",
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"dimensions": 1536,
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"microjoules_per_token": 18
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},
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{
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"name": "text-embedding-3-large",
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"vendor": "openai",
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"dimensions": 3072,
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"microjoules_per_token": 42
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},
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{
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"name": "text-embedding-ada-002",
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"vendor": "openai",
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"dimensions": 1536,
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"microjoules_per_token": 22
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},
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{
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"name": "embed-english-v3.0",
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"vendor": "cohere",
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"dimensions": 1024,
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"microjoules_per_token": 20
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},
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{
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"name": "embed-multilingual-v3.0",
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"vendor": "cohere",
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"dimensions": 1024,
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"microjoules_per_token": 24
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},
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{
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"name": "embed-english-light-v3.0",
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"vendor": "cohere",
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"dimensions": 384,
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"microjoules_per_token": 8
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},
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{
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"name": "voyage-3",
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"vendor": "voyage",
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"dimensions": 1024,
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"microjoules_per_token": 19
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},
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{
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"name": "voyage-3-lite",
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"vendor": "voyage",
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"dimensions": 512,
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"microjoules_per_token": 10
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},
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{
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"name": "voyage-code-3",
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"vendor": "voyage",
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"dimensions": 1024,
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"microjoules_per_token": 19
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},
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{
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"name": "voyage-finance-2",
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"vendor": "voyage",
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"dimensions": 1024,
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"microjoules_per_token": 19
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},
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{
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"name": "voyage-law-2",
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"vendor": "voyage",
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"dimensions": 1024,
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"microjoules_per_token": 19
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},
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{
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"name": "mistral-embed",
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"vendor": "mistral",
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"dimensions": 1024,
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"microjoules_per_token": 21
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},
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{
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"name": "jina-embeddings-v3",
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"vendor": "jina",
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"dimensions": 1024,
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"microjoules_per_token": 20
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},
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{
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"name": "jina-embeddings-v2-base-code",
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"vendor": "jina",
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"dimensions": 768,
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"microjoules_per_token": 14
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},
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{
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"name": "bge-large-en-v1.5",
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"vendor": "local",
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"dimensions": 1024,
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"microjoules_per_token": 12
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},
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{
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"name": "bge-m3",
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"vendor": "local",
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"dimensions": 1024,
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"microjoules_per_token": 16
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},
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{
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"name": "bge-small-en-v1.5",
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"vendor": "local",
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"dimensions": 384,
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"microjoules_per_token": 4
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},
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{
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"name": "nomic-embed-text-v1.5",
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"vendor": "local",
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"dimensions": 768,
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"microjoules_per_token": 9
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},
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{
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"name": "mxbai-embed-large-v1",
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"vendor": "local",
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"dimensions": 1024,
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"microjoules_per_token": 12
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},
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{
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"name": "gte-large",
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"vendor": "local",
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"dimensions": 1024,
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"microjoules_per_token": 12
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},
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{
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"name": "e5-large-v2",
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"vendor": "local",
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"dimensions": 1024,
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"microjoules_per_token": 12
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}
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]
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}
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