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).
228 lines
6.4 KiB
Rust
228 lines
6.4 KiB
Rust
//! Cohere v2 Chat backend.
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//!
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//! Endpoint: `https://api.cohere.com/v2/chat`.
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//!
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//! Request shape:
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//! ```json
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//! {
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//! "model": "command-r-plus",
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//! "messages": [{"role": "user", "content": "..."}],
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//! "stream": false
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//! }
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//! ```
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//!
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//! Response shape uses `message.content[].text` instead of OpenAI's
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//! `choices[].message.content`, and reports tokens via
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//! `usage.tokens.{input_tokens,output_tokens}`.
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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 reqwest::header::{HeaderMap, CONTENT_TYPE};
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use serde::Deserialize;
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use tracing::{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 Cohere chat endpoint.
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pub const DEFAULT_ENDPOINT: &str = "https://api.cohere.com/v2/chat";
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/// Cohere v2 chat backend.
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pub struct CohereBackend {
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client: reqwest::Client,
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auth: Auth,
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model: String,
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config: VendorConfig,
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}
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impl CohereBackend {
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/// Construct with API key + model (e.g. `command-r-plus`).
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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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auth: Auth::Bearer(api_key.into()),
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model: model.into(),
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config: VendorConfig::new(),
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}
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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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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 Cohere 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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serde_json::json!({
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"model": self.model,
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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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"stream": false,
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})
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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: "cohere.infer",
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model = %self.model,
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api_key = field::Empty,
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"dispatching cohere 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 cohere 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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self.auth.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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let payload: CohereResponse = resp.json().await?;
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let text = payload
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.message
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.map(|m| {
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m.content
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.into_iter()
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.map(|b| b.text)
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.collect::<Vec<_>>()
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.join("")
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})
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.unwrap_or_default();
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let in_tok = payload
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.usage
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.as_ref()
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.and_then(|u| u.tokens.as_ref())
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.map(|t| t.input_tokens)
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.unwrap_or_else(|| estimate_tokens(&q.prompt));
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let out_tok = payload
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.usage
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.as_ref()
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.and_then(|u| u.tokens.as_ref())
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.map(|t| t.output_tokens)
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.unwrap_or_else(|| estimate_tokens(&text));
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Ok((text, in_tok, out_tok))
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}
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}
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#[async_trait]
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impl NeuralBackend for CohereBackend {
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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!("[cohere-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 CohereResponse {
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message: Option<CohereMessage>,
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usage: Option<CohereUsage>,
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}
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#[derive(Deserialize)]
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struct CohereMessage {
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#[serde(default)]
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content: Vec<CohereTextBlock>,
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}
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#[derive(Deserialize)]
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struct CohereTextBlock {
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#[serde(default)]
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text: String,
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}
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#[derive(Deserialize)]
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struct CohereUsage {
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tokens: Option<CohereTokens>,
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}
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#[derive(Deserialize)]
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struct CohereTokens {
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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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}
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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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fn estimate_tokens(s: &str) -> u32 {
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((s.chars().count() as f64) / 4.0).ceil().max(1.0) as u32
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}
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