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).
357 lines
11 KiB
Rust
357 lines
11 KiB
Rust
//! Anthropic Messages API backend.
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//!
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//! Endpoint: `https://api.anthropic.com/v1/messages`.
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//!
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//! Differences from the OpenAI-compatible schema:
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//!
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//! * Auth uses the `x-api-key` header.
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//! * The request requires an `anthropic-version` header.
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//! * `max_tokens` is required, not optional.
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//! * Streaming uses Anthropic-specific SSE events
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//! (`message_start`, `content_block_delta`, `message_delta`,
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//! `message_stop`).
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//! * Prompt caching is opted-in per content block via
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//! `cache_control: { "type": "ephemeral" }`. When the EOC layer tags a
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//! system prompt as cacheable, set [`AnthropicBackend::with_system_cached`].
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use std::time::Duration;
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use async_trait::async_trait;
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use eoc_core::{JouleCost, JouleSource, Query, Response, Stage};
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use eoc_neural::NeuralBackend;
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use futures_util::StreamExt;
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use reqwest::header::{HeaderMap, HeaderName, HeaderValue, CONTENT_TYPE};
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use serde::Deserialize;
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use tracing::{debug, field, warn};
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use crate::auth::Auth;
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use crate::config::VendorConfig;
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use crate::error::{VendorError, VendorResult};
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/// Default Anthropic endpoint.
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pub const DEFAULT_ENDPOINT: &str = "https://api.anthropic.com/v1/messages";
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/// Default Anthropic API version header value.
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pub const ANTHROPIC_VERSION: &str = "2023-06-01";
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/// Anthropic Messages backend.
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pub struct AnthropicBackend {
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client: reqwest::Client,
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api_key: String,
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model: String,
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max_tokens: u32,
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stream: bool,
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system: Option<String>,
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system_cached: bool,
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config: VendorConfig,
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}
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impl AnthropicBackend {
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/// Construct with API key + model (e.g. `claude-3-5-sonnet-20241022`).
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pub fn new(api_key: impl Into<String>, model: impl Into<String>) -> Self {
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Self {
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client: reqwest::Client::new(),
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api_key: api_key.into(),
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model: model.into(),
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max_tokens: 1024,
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stream: true,
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system: None,
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system_cached: false,
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config: VendorConfig::new(),
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}
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}
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/// Override the `max_tokens` cap (Anthropic requires this field).
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pub fn with_max_tokens(mut self, n: u32) -> Self {
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self.max_tokens = n;
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self
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}
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/// Attach a system prompt (consumes `self`).
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pub fn with_system(mut self, system: impl Into<String>) -> Self {
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self.system = Some(system.into());
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self
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}
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/// Mark the system prompt as cacheable (sends
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/// `cache_control: { type: "ephemeral" }`). Caller is responsible
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/// for only setting this when EOC's caching layer has tagged the
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/// system prompt as appropriate.
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pub fn with_system_cached(mut self, cached: bool) -> Self {
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self.system_cached = cached;
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self
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}
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/// Override the [`VendorConfig`].
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pub fn with_config(mut self, config: VendorConfig) -> Self {
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self.config = config;
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self
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}
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/// Disable SSE streaming.
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pub fn without_stream(mut self) -> Self {
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self.stream = false;
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self
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}
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fn endpoint(&self) -> &str {
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self.config
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.endpoint
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.as_deref()
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.unwrap_or(DEFAULT_ENDPOINT)
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}
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/// Build the Anthropic request body (public for snapshot testing).
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pub fn build_request_body(&self, q: &Query) -> serde_json::Value {
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let system_field = self.system.as_deref().map(|s| {
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if self.system_cached {
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serde_json::json!([{
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"type": "text",
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"text": s,
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"cache_control": {"type": "ephemeral"}
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}])
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} else {
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serde_json::Value::String(s.to_string())
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}
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});
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let mut body = serde_json::json!({
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"model": self.model,
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"max_tokens": self.max_tokens,
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"stream": self.stream,
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"messages": [{
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"role": "user",
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"content": q.prompt,
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}],
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});
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if let Some(sys) = system_field
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&& let Some(map) = body.as_object_mut()
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{
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map.insert("system".to_string(), sys);
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}
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body
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}
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async fn try_infer(&self, q: &Query) -> VendorResult<Response> {
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tracing::debug!(
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target: "anthropic.infer",
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model = %self.model,
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api_key = field::Empty,
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"dispatching anthropic inference"
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);
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let policy = self.config.retry_policy;
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let mut attempt: u32 = 0;
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loop {
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let outcome = self.single_call(q).await;
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match outcome {
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Ok((text, in_tok, out_tok)) => {
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let cost = self.config.joule_estimator.estimate(in_tok, out_tok, &self.model);
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return Ok(Response::new(q.id, text, Stage::Neural, cost));
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}
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Err(e) if is_retryable(&e) && attempt < policy.max_retries => {
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warn!(attempt, error = %e, "retryable anthropic error; backing off");
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tokio::time::sleep(policy.backoff_for(attempt)).await;
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attempt += 1;
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continue;
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}
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Err(e) => return Err(e),
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}
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}
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}
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async fn single_call(&self, q: &Query) -> VendorResult<(String, u32, u32)> {
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let mut headers = HeaderMap::new();
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headers.insert(CONTENT_TYPE, "application/json".parse().expect("static"));
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headers.insert(
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HeaderName::from_static("anthropic-version"),
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HeaderValue::from_static(ANTHROPIC_VERSION),
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);
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Auth::ApiKey(self.api_key.clone()).apply(&mut headers)?;
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let body = self.build_request_body(q);
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let resp = self
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.client
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.post(self.endpoint())
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.timeout(self.config.timeout)
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.headers(headers)
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.json(&body)
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.send()
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.await?;
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let status = resp.status();
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if !status.is_success() {
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return Err(classify_error(status, resp).await);
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}
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if self.stream {
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decode_stream(resp, &q.prompt).await
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} else {
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let payload: AnthropicResponse = resp.json().await?;
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let text = payload.content.into_iter().map(|b| b.text).collect::<Vec<_>>().join("");
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let in_tok = payload.usage.input_tokens;
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let out_tok = payload.usage.output_tokens;
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Ok((text, in_tok, out_tok))
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}
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}
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}
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#[async_trait]
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impl NeuralBackend for AnthropicBackend {
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async fn infer(&self, q: &Query) -> Response {
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match self.try_infer(q).await {
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Ok(r) => r,
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Err(e) => Response::new(
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q.id,
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format!("[anthropic-error: {e}]"),
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Stage::Neural,
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JouleCost { microjoules: 0, source: JouleSource::Estimated },
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),
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}
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}
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}
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#[derive(Deserialize)]
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struct AnthropicResponse {
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content: Vec<AnthropicTextBlock>,
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usage: AnthropicUsage,
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}
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#[derive(Deserialize)]
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struct AnthropicTextBlock {
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#[serde(default)]
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text: String,
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}
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#[derive(Deserialize, Default, Clone, Copy)]
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struct AnthropicUsage {
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#[serde(default)]
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input_tokens: u32,
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#[serde(default)]
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output_tokens: u32,
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#[serde(default)]
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cache_read_input_tokens: u32,
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#[serde(default)]
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cache_creation_input_tokens: u32,
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}
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#[derive(Deserialize)]
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#[serde(tag = "type")]
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enum StreamEvent {
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#[serde(rename = "message_start")]
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MessageStart { message: StreamMessageStart },
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#[serde(rename = "content_block_delta")]
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ContentBlockDelta { delta: StreamDelta },
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#[serde(rename = "message_delta")]
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MessageDelta { usage: Option<StreamDeltaUsage> },
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#[serde(rename = "message_stop")]
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MessageStop,
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#[serde(other)]
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Other,
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}
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#[derive(Deserialize)]
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struct StreamMessageStart {
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usage: AnthropicUsage,
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}
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#[derive(Deserialize)]
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#[serde(tag = "type")]
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enum StreamDelta {
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#[serde(rename = "text_delta")]
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Text {
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#[serde(default)]
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text: String,
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},
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#[serde(other)]
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Other,
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}
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#[derive(Deserialize, Default)]
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struct StreamDeltaUsage {
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#[serde(default)]
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output_tokens: u32,
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}
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async fn decode_stream(resp: reqwest::Response, prompt: &str) -> VendorResult<(String, u32, u32)> {
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let mut text = String::new();
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let mut input_tokens: u32 = 0;
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let mut output_tokens: u32 = 0;
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let mut buf = String::new();
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let mut stream = resp.bytes_stream();
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while let Some(chunk) = stream.next().await {
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let bytes = chunk.map_err(VendorError::from)?;
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buf.push_str(&String::from_utf8_lossy(&bytes));
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while let Some(idx) = buf.find("\n\n") {
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let event = buf[..idx].to_string();
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buf.drain(..idx + 2);
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for line in event.lines() {
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let line = line.trim_start();
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let Some(payload) = line.strip_prefix("data:") else {
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continue;
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};
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let payload = payload.trim();
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if payload.is_empty() {
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continue;
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}
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match serde_json::from_str::<StreamEvent>(payload) {
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Ok(StreamEvent::MessageStart { message }) => {
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input_tokens = message.usage.input_tokens
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+ message.usage.cache_read_input_tokens
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+ message.usage.cache_creation_input_tokens;
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}
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Ok(StreamEvent::ContentBlockDelta {
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delta: StreamDelta::Text { text: t },
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}) => text.push_str(&t),
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Ok(StreamEvent::MessageDelta { usage }) => {
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if let Some(u) = usage {
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output_tokens = u.output_tokens;
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}
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}
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Ok(StreamEvent::MessageStop)
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| Ok(StreamEvent::ContentBlockDelta { delta: StreamDelta::Other })
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| Ok(StreamEvent::Other) => {}
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Err(e) => debug!(?e, "skipping malformed anthropic SSE frame"),
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}
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}
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}
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}
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if input_tokens == 0 {
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input_tokens = ((prompt.chars().count() as f64) / 4.0).ceil().max(1.0) as u32;
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}
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Ok((text, input_tokens, output_tokens))
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}
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async fn classify_error(status: reqwest::StatusCode, resp: reqwest::Response) -> VendorError {
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let retry_after = resp
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.headers()
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.get(reqwest::header::RETRY_AFTER)
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.and_then(|v| v.to_str().ok())
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.and_then(|s| s.parse::<u64>().ok());
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let body = resp
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.text()
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.await
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.unwrap_or_default()
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.chars()
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.take(512)
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.collect::<String>();
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match status.as_u16() {
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429 => VendorError::RateLimited { retry_after_secs: retry_after },
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401 | 403 => VendorError::InvalidApiKey,
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404 => VendorError::ModelNotFound(body),
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s => VendorError::Unexpected { status: s, body },
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}
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}
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fn is_retryable(e: &VendorError) -> bool {
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match e {
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VendorError::RateLimited { .. }
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| VendorError::Timeout
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| VendorError::NetworkError(_) => true,
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VendorError::Unexpected { status, .. } => (500..=599).contains(status),
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_ => false,
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}
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}
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#[allow(dead_code)]
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const _BACKOFF_HINT: Duration = Duration::from_millis(250);
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