Upgrade async-openai from our own etkecc fork to upstream's 0.31.1

Switches `async-openai` from our own etkecc fork (0.28.1-patched) to the
official crates.io version 0.31.1.

We adapt to async-openai's types reorganization and making use of crate
features to only enable what we need.
This commit is contained in:
Slavi Pantaleev
2025-11-30 10:31:06 +02:00
parent 5c0a7be7a2
commit 8eb70f0f2c
7 changed files with 109 additions and 92 deletions

12
Cargo.lock generated
View File

@@ -191,8 +191,9 @@ dependencies = [
[[package]]
name = "async-openai"
version = "0.28.1"
source = "git+https://github.com/etkecc/async-openai?branch=async-openai-v0.28.1-patched#856953c2d4485342df625fd0525363362075e8a8"
version = "0.31.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1cc4c602409022b854d89332fae01a6c69a4122fdd0ec66a071b9b5c3a87750b"
dependencies = [
"async-openai-macros",
"backoff",
@@ -201,23 +202,26 @@ dependencies = [
"derive_builder 0.20.2",
"eventsource-stream",
"futures",
"rand 0.8.5",
"rand 0.9.2",
"reqwest 0.12.24",
"reqwest-eventsource 0.6.0",
"secrecy",
"serde",
"serde_json",
"serde_urlencoded",
"thiserror 2.0.17",
"tokio",
"tokio-stream",
"tokio-util",
"tracing",
"url",
]
[[package]]
name = "async-openai-macros"
version = "0.1.0"
source = "git+https://github.com/etkecc/async-openai?branch=async-openai-v0.28.1-patched#856953c2d4485342df625fd0525363362075e8a8"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0289cba6d5143bfe8251d57b4a8cac036adf158525a76533a7082ba65ec76398"
dependencies = [
"proc-macro2",
"quote",

View File

@@ -17,7 +17,7 @@ path = "src/lib.rs"
[dependencies]
anthropic = { git = "https://github.com/etkecc/anthropic-rs.git", branch = "fix-content-block-image" }
anyhow = "1.0.*"
async-openai = { git = "https://github.com/etkecc/async-openai", branch = "async-openai-v0.28.1-patched" }
async-openai = { version = "0.31.1", features = ["audio", "chat-completion", "image"] }
base64 = "0.22.*"
chrono = { version = "0.4.*", default-features = false, features = ["std", "now"] }
# We'd rather not depend on this, but we cannot use the ruma-events EventContent macro without it.

View File

@@ -56,12 +56,8 @@ impl ImageSource {
}
}
impl From<ImageSource> for async_openai::types::ImageInput {
impl From<ImageSource> for async_openai::types::images::ImageInput {
fn from(value: ImageSource) -> Self {
async_openai::types::ImageInput::from_vec_u8(
value.filename,
value.bytes,
value.mime_type.to_string(),
)
async_openai::types::images::ImageInput::from_vec_u8(value.filename, value.bytes)
}
}

View File

@@ -104,16 +104,16 @@ fn default_speech_to_text_model_id() -> String {
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TextToSpeechConfig {
#[serde(default = "default_text_to_speech_model_id")]
pub model_id: async_openai::types::SpeechModel,
pub model_id: async_openai::types::audio::SpeechModel,
#[serde(default = "default_text_to_speech_voice")]
pub voice: async_openai::types::Voice,
pub voice: async_openai::types::audio::Voice,
#[serde(default = "default_text_to_speech_speed")]
pub speed: f32,
#[serde(default = "default_text_to_speech_response_format")]
pub response_format: async_openai::types::SpeechResponseFormat,
pub response_format: async_openai::types::audio::SpeechResponseFormat,
}
impl Default for TextToSpeechConfig {
@@ -127,22 +127,22 @@ impl Default for TextToSpeechConfig {
}
}
fn default_text_to_speech_model_id() -> async_openai::types::SpeechModel {
async_openai::types::SpeechModel::Tts1Hd
fn default_text_to_speech_model_id() -> async_openai::types::audio::SpeechModel {
async_openai::types::audio::SpeechModel::Tts1Hd
}
fn default_text_to_speech_voice() -> async_openai::types::Voice {
async_openai::types::Voice::Onyx
fn default_text_to_speech_voice() -> async_openai::types::audio::Voice {
async_openai::types::audio::Voice::Onyx
}
fn default_text_to_speech_speed() -> f32 {
1.0
}
fn default_text_to_speech_response_format() -> async_openai::types::SpeechResponseFormat {
fn default_text_to_speech_response_format() -> async_openai::types::audio::SpeechResponseFormat {
// The API defaults to mp3, but we prefer Opus because it's smaller.
// Our clients should all have support for it.
async_openai::types::SpeechResponseFormat::Opus
async_openai::types::audio::SpeechResponseFormat::Opus
}
#[derive(Debug, Clone, Serialize, Deserialize)]
@@ -150,13 +150,13 @@ pub struct ImageGenerationConfig {
pub model_id: String,
#[serde(default = "default_image_style")]
pub style: Option<async_openai::types::ImageStyle>,
pub style: Option<async_openai::types::images::ImageStyle>,
#[serde(default = "default_image_size")]
pub size: Option<async_openai::types::ImageSize>,
pub size: Option<async_openai::types::images::ImageSize>,
#[serde(default = "default_image_quality")]
pub quality: Option<async_openai::types::ImageQuality>,
pub quality: Option<async_openai::types::images::ImageQuality>,
}
impl Default for ImageGenerationConfig {
@@ -173,23 +173,25 @@ impl Default for ImageGenerationConfig {
impl ImageGenerationConfig {
pub fn model_id_as_openai_image_model(
&self,
) -> Result<async_openai::types::ImageModel, String> {
) -> Result<async_openai::types::images::ImageModel, String> {
match self.model_id.as_str() {
"dall-e-2" => Ok(async_openai::types::ImageModel::DallE2),
"dall-e-3" => Ok(async_openai::types::ImageModel::DallE3),
other => Ok(async_openai::types::ImageModel::Other(other.to_owned())),
"dall-e-2" => Ok(async_openai::types::images::ImageModel::DallE2),
"dall-e-3" => Ok(async_openai::types::images::ImageModel::DallE3),
"gpt-image-1" => Ok(async_openai::types::images::ImageModel::GptImage1),
"gpt-image-1-mini" => Ok(async_openai::types::images::ImageModel::GptImage1Mini),
other => Ok(async_openai::types::images::ImageModel::Other(other.to_owned())),
}
}
}
fn default_image_style() -> Option<async_openai::types::ImageStyle> {
fn default_image_style() -> Option<async_openai::types::images::ImageStyle> {
None
}
fn default_image_size() -> Option<async_openai::types::ImageSize> {
fn default_image_size() -> Option<async_openai::types::images::ImageSize> {
None
}
fn default_image_quality() -> Option<async_openai::types::ImageQuality> {
fn default_image_quality() -> Option<async_openai::types::images::ImageQuality> {
None
}

View File

@@ -4,9 +4,12 @@ use async_openai::{
Client as OpenAIClient,
config::OpenAIConfig,
types::{
ChatCompletionRequestMessage, CreateChatCompletionRequestArgs, CreateImageEditRequestArgs,
CreateImageRequestArgs, CreateSpeechRequestArgs, CreateTranscriptionRequestArgs,
DallE2ImageSize, Image, ImageModel, ImageResponseFormat,
audio::{AudioInput, CreateSpeechRequestArgs, CreateTranscriptionRequestArgs},
chat::{ChatCompletionRequestMessage, CreateChatCompletionRequestArgs},
images::{
CreateImageEditRequestArgs, CreateImageRequestArgs,
Image, ImageInput, ImageModel, ImageResponseFormat,
},
},
};
@@ -38,8 +41,6 @@ use crate::{
use super::config::Config;
use super::OPENAI_IMAGE_MODEL_GPT_IMAGE_1;
#[derive(Debug, Clone)]
pub struct Controller {
config: Config,
@@ -209,11 +210,7 @@ impl ControllerTrait for Controller {
let request = CreateTranscriptionRequestArgs::default()
.model(&speech_to_text_config.model_id)
.file(async_openai::types::AudioInput::from_vec_u8(
filename,
media,
mime_type.to_string(),
))
.file(AudioInput::from_vec_u8(filename, media))
.language(language.clone())
.build()?;
@@ -223,7 +220,7 @@ impl ControllerTrait for Controller {
"Sending OpenAI speech-to-text API request"
);
let response = self.client.audio().transcribe(request).await?;
let response = self.client.audio().transcription().create(request).await?;
tracing::trace!(
?response,
@@ -255,11 +252,12 @@ impl ControllerTrait for Controller {
let model = if params.cheaper_model_switching_allowed {
// Switch to a cheaper model
match original_model {
async_openai::types::ImageModel::DallE2 => async_openai::types::ImageModel::DallE2,
async_openai::types::ImageModel::DallE3 => async_openai::types::ImageModel::DallE2,
async_openai::types::ImageModel::Other(_) => {
async_openai::types::ImageModel::DallE2
ImageModel::DallE2 => ImageModel::DallE2,
ImageModel::DallE3 => ImageModel::DallE2,
ImageModel::Other(_) => {
ImageModel::DallE2
}
_ => original_model.clone(),
}
} else {
original_model
@@ -269,11 +267,24 @@ impl ControllerTrait for Controller {
// Switch to a cheaper quality
match &image_generation_config.quality {
Some(quality) => match quality {
async_openai::types::ImageQuality::Standard => {
Some(async_openai::types::ImageQuality::Standard)
async_openai::types::images::ImageQuality::Standard => {
Some(async_openai::types::images::ImageQuality::Standard)
}
async_openai::types::ImageQuality::HD => {
Some(async_openai::types::ImageQuality::Standard)
async_openai::types::images::ImageQuality::HD => {
Some(async_openai::types::images::ImageQuality::Standard)
}
// New quality levels - keep as-is or downgrade to Standard
async_openai::types::images::ImageQuality::High => {
Some(async_openai::types::images::ImageQuality::Standard)
}
async_openai::types::images::ImageQuality::Medium => {
Some(async_openai::types::images::ImageQuality::Medium)
}
async_openai::types::images::ImageQuality::Low => {
Some(async_openai::types::images::ImageQuality::Low)
}
async_openai::types::images::ImageQuality::Auto => {
Some(async_openai::types::images::ImageQuality::Auto)
}
},
None => None,
@@ -284,18 +295,17 @@ impl ControllerTrait for Controller {
let size = params
.size_override
.map(|s| convert_string_to_enum::<async_openai::types::ImageSize>(&s).unwrap())
.map(|s| convert_string_to_enum::<async_openai::types::images::ImageSize>(&s).unwrap())
.or(image_generation_config.size);
let response_format = match model.clone() {
ImageModel::DallE2 => Some(ImageResponseFormat::B64Json),
ImageModel::DallE3 => Some(ImageResponseFormat::B64Json),
ImageModel::Other(model_str) => match model_str.as_str() {
// gpt-image-1 only outputs base64 and we don't need to specify the response format.
// In fact, specifying the response format results in an error.
OPENAI_IMAGE_MODEL_GPT_IMAGE_1 => None,
_ => Some(ImageResponseFormat::B64Json),
},
ImageModel::GptImage1 => None,
ImageModel::GptImage1Mini => None,
ImageModel::Other(_) => Some(ImageResponseFormat::B64Json),
};
let mut request_builder = CreateImageRequestArgs::default();
@@ -329,15 +339,15 @@ impl ControllerTrait for Controller {
"Sending OpenAI image generation API request"
);
let response = self.client.images().create(request).await?;
let response = self.client.images().generate(request).await?;
if let Some(image) = response.data.into_iter().next() {
match image.deref() {
async_openai::types::Image::B64Json {
Image::B64Json {
b64_json,
revised_prompt,
} => {
let bytes = base64_decode(b64_json)?;
let bytes = base64_decode(b64_json.as_ref())?;
return Ok(ImageGenerationResult {
bytes,
@@ -374,15 +384,15 @@ impl ControllerTrait for Controller {
return Err(anyhow::anyhow!("No image sources provided"));
}
let mut image_inputs = Vec::new();
let mut image_inputs: Vec<ImageInput> = Vec::new();
for image in images {
image_inputs.push(image.into());
}
let dalle2_size = match image_generation_config.size {
Some(async_openai::types::ImageSize::S256x256) => Some(DallE2ImageSize::S256x256),
Some(async_openai::types::ImageSize::S512x512) => Some(DallE2ImageSize::S512x512),
Some(async_openai::types::ImageSize::S1024x1024) => Some(DallE2ImageSize::S1024x1024),
Some(async_openai::types::images::ImageSize::S256x256) => Some(async_openai::types::images::ImageSize::S256x256),
Some(async_openai::types::images::ImageSize::S512x512) => Some(async_openai::types::images::ImageSize::S512x512),
Some(async_openai::types::images::ImageSize::S1024x1024) => Some(async_openai::types::images::ImageSize::S1024x1024),
_ => None,
};
@@ -391,16 +401,17 @@ impl ControllerTrait for Controller {
.map_err(|err| anyhow::anyhow!(err))?;
let response_format = match model.clone() {
async_openai::types::ImageModel::DallE2 => {
Some(async_openai::types::ImageResponseFormat::B64Json)
ImageModel::DallE2 => {
Some(ImageResponseFormat::B64Json)
}
async_openai::types::ImageModel::DallE3 => {
Some(async_openai::types::ImageResponseFormat::B64Json)
ImageModel::DallE3 => {
Some(ImageResponseFormat::B64Json)
}
async_openai::types::ImageModel::Other(model_str) => match model_str.as_str() {
OPENAI_IMAGE_MODEL_GPT_IMAGE_1 => None,
_ => Some(async_openai::types::ImageResponseFormat::B64Json),
},
// gpt-image-1 only outputs base64 and we don't need to specify the response format.
// In fact, specifying the response format results in an error.
ImageModel::GptImage1 => None,
ImageModel::GptImage1Mini => None,
ImageModel::Other(_) => Some(ImageResponseFormat::B64Json),
};
let mut request_builder = CreateImageEditRequestArgs::default();
@@ -429,12 +440,12 @@ impl ControllerTrait for Controller {
"Sending OpenAI image edit API request"
);
let response = self.client.images().create_edit(request).await?;
let response = self.client.images().edit(request).await?;
if let Some(image_data) = response.data.into_iter().next() {
match image_data.deref() {
Image::B64Json { b64_json, .. } => {
let bytes = base64_decode(b64_json)?;
let bytes = base64_decode(b64_json.as_ref())?;
return Ok(ImageEditResult {
bytes,
mime_type: mxlink::mime::IMAGE_PNG,
@@ -471,7 +482,7 @@ impl ControllerTrait for Controller {
let voice = if let Some(voice_string) = params.voice_override {
// This is a hacky way to construct a Voice enum from the string we have.
let voice: serde_json::Result<async_openai::types::Voice> =
let voice: serde_json::Result<async_openai::types::audio::Voice> =
serde_json::from_str(&format!("\"{}\"", voice_string));
match voice {
Ok(voice) => voice,
@@ -511,7 +522,7 @@ impl ControllerTrait for Controller {
"Sending OpenAI text-to-speech API request"
);
let result = self.client.audio().speech(request).await?;
let result = self.client.audio().speech().create(request).await?;
Ok(TextToSpeechResult {
bytes: result.bytes.into(),
@@ -570,15 +581,15 @@ impl ControllerTrait for Controller {
}
fn response_format_to_mime_type(
response_format: &async_openai::types::SpeechResponseFormat,
response_format: &async_openai::types::audio::SpeechResponseFormat,
) -> Option<mxlink::mime::Mime> {
let content_type = match response_format {
async_openai::types::SpeechResponseFormat::Mp3 => "audio/mp3".to_owned(),
async_openai::types::SpeechResponseFormat::Wav => "audio/wav".to_owned(),
async_openai::types::SpeechResponseFormat::Opus => "audio/ogg".to_owned(),
async_openai::types::SpeechResponseFormat::Aac => "audio/aac".to_owned(),
async_openai::types::SpeechResponseFormat::Flac => "audio/flac".to_owned(),
async_openai::types::SpeechResponseFormat::Pcm => "audio/L8".to_owned(),
async_openai::types::audio::SpeechResponseFormat::Mp3 => "audio/mp3".to_owned(),
async_openai::types::audio::SpeechResponseFormat::Wav => "audio/wav".to_owned(),
async_openai::types::audio::SpeechResponseFormat::Opus => "audio/ogg".to_owned(),
async_openai::types::audio::SpeechResponseFormat::Aac => "audio/aac".to_owned(),
async_openai::types::audio::SpeechResponseFormat::Flac => "audio/flac".to_owned(),
async_openai::types::audio::SpeechResponseFormat::Pcm => "audio/L8".to_owned(),
};
match content_type.parse() {

View File

@@ -1,8 +1,12 @@
use async_openai::types::{
chat::{
ChatCompletionRequestAssistantMessageArgs, ChatCompletionRequestMessage,
ChatCompletionRequestMessageContentPartImage, ChatCompletionRequestSystemMessageArgs,
ChatCompletionRequestMessageContentPartImage,
ChatCompletionRequestSystemMessageArgs,
ChatCompletionRequestUserMessageArgs, ChatCompletionRequestUserMessageContent,
ChatCompletionRequestUserMessageContentPart, ImageUrlArgs,
ChatCompletionRequestUserMessageContentPart,
ImageUrlArgs,
},
};
use crate::conversation::llm::{

View File

@@ -161,11 +161,11 @@ impl TryInto<OpenAITextToSpeechConfig> for TextToSpeechConfig {
type Error = String;
fn try_into(self) -> Result<OpenAITextToSpeechConfig, Self::Error> {
let model_id = convert_string_to_enum::<async_openai::types::SpeechModel>(&self.model_id)?;
let model_id = convert_string_to_enum::<async_openai::types::audio::SpeechModel>(&self.model_id)?;
let voice = convert_string_to_enum::<async_openai::types::Voice>(&self.voice)?;
let voice = convert_string_to_enum::<async_openai::types::audio::Voice>(&self.voice)?;
let response_format = convert_string_to_enum::<async_openai::types::SpeechResponseFormat>(
let response_format = convert_string_to_enum::<async_openai::types::audio::SpeechResponseFormat>(
&self.response_format,
)?;
@@ -224,7 +224,7 @@ impl TryInto<OpenAIImageGenerationConfig> for ImageGenerationConfig {
fn try_into(self) -> Result<OpenAIImageGenerationConfig, Self::Error> {
let size = if let Some(size) = &self.size {
Some(convert_string_to_enum::<async_openai::types::ImageSize>(
Some(convert_string_to_enum::<async_openai::types::images::ImageSize>(
size,
)?)
} else {
@@ -232,7 +232,7 @@ impl TryInto<OpenAIImageGenerationConfig> for ImageGenerationConfig {
};
let style = if let Some(style) = &self.style {
Some(convert_string_to_enum::<async_openai::types::ImageStyle>(
Some(convert_string_to_enum::<async_openai::types::images::ImageStyle>(
style,
)?)
} else {
@@ -240,7 +240,7 @@ impl TryInto<OpenAIImageGenerationConfig> for ImageGenerationConfig {
};
let quality = if let Some(quality) = &self.quality {
Some(convert_string_to_enum::<async_openai::types::ImageQuality>(
Some(convert_string_to_enum::<async_openai::types::images::ImageQuality>(
quality,
)?)
} else {