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https://github.com/zed-industries/zed.git
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add proper handling for open ai rate limit delays
This commit is contained in:
KCaverly
parent
dd577074f2
commit
4f8b95cf0d
65
Cargo.lock
generated
65
Cargo.lock
generated
@ -3532,7 +3532,7 @@ dependencies = [
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"gif",
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"jpeg-decoder",
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"num-iter",
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"num-rational",
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"num-rational 0.3.2",
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"num-traits",
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"png",
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"scoped_threadpool",
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@ -4625,6 +4625,31 @@ dependencies = [
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"winapi 0.3.9",
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]
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[[package]]
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name = "num"
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version = "0.2.1"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "b8536030f9fea7127f841b45bb6243b27255787fb4eb83958aa1ef9d2fdc0c36"
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dependencies = [
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"num-bigint 0.2.6",
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"num-complex",
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"num-integer",
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"num-iter",
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"num-rational 0.2.4",
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"num-traits",
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]
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[[package]]
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name = "num-bigint"
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version = "0.2.6"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "090c7f9998ee0ff65aa5b723e4009f7b217707f1fb5ea551329cc4d6231fb304"
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dependencies = [
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"autocfg",
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"num-integer",
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"num-traits",
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]
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[[package]]
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name = "num-bigint"
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version = "0.4.4"
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@ -4653,6 +4678,16 @@ dependencies = [
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"zeroize",
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]
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[[package]]
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name = "num-complex"
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version = "0.2.4"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "b6b19411a9719e753aff12e5187b74d60d3dc449ec3f4dc21e3989c3f554bc95"
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dependencies = [
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"autocfg",
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"num-traits",
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]
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[[package]]
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name = "num-derive"
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version = "0.3.3"
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@ -4685,6 +4720,18 @@ dependencies = [
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"num-traits",
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]
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[[package]]
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name = "num-rational"
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version = "0.2.4"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "5c000134b5dbf44adc5cb772486d335293351644b801551abe8f75c84cfa4aef"
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dependencies = [
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"autocfg",
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"num-bigint 0.2.6",
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"num-integer",
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"num-traits",
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]
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[[package]]
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name = "num-rational"
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version = "0.3.2"
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@ -5001,6 +5048,17 @@ dependencies = [
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"windows-targets 0.48.5",
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]
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[[package]]
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name = "parse_duration"
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version = "2.1.1"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "7037e5e93e0172a5a96874380bf73bc6ecef022e26fa25f2be26864d6b3ba95d"
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dependencies = [
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"lazy_static",
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"num",
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"regex",
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]
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[[package]]
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name = "password-hash"
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version = "0.2.3"
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@ -6667,6 +6725,7 @@ dependencies = [
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"log",
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"matrixmultiply",
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"parking_lot 0.11.2",
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"parse_duration",
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"picker",
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"postage",
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"pretty_assertions",
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@ -6998,7 +7057,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "8eb4ea60fb301dc81dfc113df680571045d375ab7345d171c5dc7d7e13107a80"
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dependencies = [
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"chrono",
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"num-bigint",
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"num-bigint 0.4.4",
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"num-traits",
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"thiserror",
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]
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@ -7230,7 +7289,7 @@ dependencies = [
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"log",
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"md-5",
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"memchr",
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"num-bigint",
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"num-bigint 0.4.4",
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"once_cell",
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"paste",
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"percent-encoding",
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@ -39,6 +39,7 @@ rand.workspace = true
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schemars.workspace = true
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globset.workspace = true
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sha1 = "0.10.5"
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parse_duration = "2.1.1"
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[dev-dependencies]
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gpui = { path = "../gpui", features = ["test-support"] }
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@ -7,6 +7,7 @@ use isahc::http::StatusCode;
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use isahc::prelude::Configurable;
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use isahc::{AsyncBody, Response};
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use lazy_static::lazy_static;
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use parse_duration::parse;
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use serde::{Deserialize, Serialize};
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use std::env;
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use std::sync::Arc;
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@ -84,10 +85,15 @@ impl OpenAIEmbeddings {
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span
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}
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async fn send_request(&self, api_key: &str, spans: Vec<&str>) -> Result<Response<AsyncBody>> {
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async fn send_request(
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&self,
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api_key: &str,
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spans: Vec<&str>,
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request_timeout: u64,
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) -> Result<Response<AsyncBody>> {
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let request = Request::post("https://api.openai.com/v1/embeddings")
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.redirect_policy(isahc::config::RedirectPolicy::Follow)
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.timeout(Duration::from_secs(4))
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.timeout(Duration::from_secs(request_timeout))
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.header("Content-Type", "application/json")
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.header("Authorization", format!("Bearer {}", api_key))
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.body(
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@ -114,45 +120,23 @@ impl EmbeddingProvider for OpenAIEmbeddings {
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.ok_or_else(|| anyhow!("no api key"))?;
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let mut request_number = 0;
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let mut request_timeout: u64 = 10;
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let mut truncated = false;
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let mut response: Response<AsyncBody>;
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let mut spans: Vec<String> = spans.iter().map(|x| x.to_string()).collect();
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while request_number < MAX_RETRIES {
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response = self
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.send_request(api_key, spans.iter().map(|x| &**x).collect())
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.send_request(
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api_key,
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spans.iter().map(|x| &**x).collect(),
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request_timeout,
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)
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.await?;
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request_number += 1;
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if request_number + 1 == MAX_RETRIES && response.status() != StatusCode::OK {
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return Err(anyhow!(
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"openai max retries, error: {:?}",
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&response.status()
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));
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}
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match response.status() {
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StatusCode::TOO_MANY_REQUESTS => {
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let delay = Duration::from_secs(BACKOFF_SECONDS[request_number - 1] as u64);
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log::trace!(
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"open ai rate limiting, delaying request by {:?} seconds",
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delay.as_secs()
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);
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self.executor.timer(delay).await;
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}
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StatusCode::BAD_REQUEST => {
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// Only truncate if it hasnt been truncated before
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if !truncated {
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for span in spans.iter_mut() {
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*span = Self::truncate(span.clone());
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}
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truncated = true;
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} else {
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// If failing once already truncated, log the error and break the loop
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let mut body = String::new();
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response.body_mut().read_to_string(&mut body).await?;
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log::trace!("open ai bad request: {:?} {:?}", &response.status(), body);
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break;
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}
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StatusCode::REQUEST_TIMEOUT => {
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request_timeout += 5;
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}
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StatusCode::OK => {
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let mut body = String::new();
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@ -163,18 +147,60 @@ impl EmbeddingProvider for OpenAIEmbeddings {
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"openai embedding completed. tokens: {:?}",
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response.usage.total_tokens
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);
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return Ok(response
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.data
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.into_iter()
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.map(|embedding| embedding.embedding)
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.collect());
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}
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StatusCode::TOO_MANY_REQUESTS => {
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let mut body = String::new();
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response.body_mut().read_to_string(&mut body).await?;
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let delay_duration = {
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let delay = Duration::from_secs(BACKOFF_SECONDS[request_number - 1] as u64);
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if let Some(time_to_reset) =
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response.headers().get("x-ratelimit-reset-tokens")
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{
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if let Ok(time_str) = time_to_reset.to_str() {
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parse(time_str).unwrap_or(delay)
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} else {
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delay
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}
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} else {
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delay
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}
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};
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log::trace!(
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"openai rate limiting: waiting {:?} until lifted",
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&delay_duration
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);
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self.executor.timer(delay_duration).await;
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}
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_ => {
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return Err(anyhow!("openai embedding failed {}", response.status()));
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// TODO: Move this to parsing step
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// Only truncate if it hasnt been truncated before
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if !truncated {
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for span in spans.iter_mut() {
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*span = Self::truncate(span.clone());
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}
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truncated = true;
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} else {
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// If failing once already truncated, log the error and break the loop
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let mut body = String::new();
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response.body_mut().read_to_string(&mut body).await?;
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return Err(anyhow!(
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"open ai bad request: {:?} {:?}",
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&response.status(),
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body
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));
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}
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}
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}
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}
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Err(anyhow!("openai embedding failed"))
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Err(anyhow!("openai max retries"))
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}
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}
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