logiguard fork v3: full patch set on verified 8c74db0 tree

Includes prior-session patches (carry forward so the app compiles):
  - crates/gpui/build.rs: cross-compile manifest fix
  - crates/gpui/src/platform.rs: PlatformWindow::activate_with_token trait method
  - crates/gpui/src/window.rs: Window::activate_with_token public API
  - crates/gpui_linux/src/linux/wayland/window.rs: WaylandWindow::activate_with_token + activate() keyboard-serial fix

Plus the focus-serial fix:
  - serial.rs: SerialKind::KeyboardEnter
  - client.rs: store wl_keyboard.enter serial; latest_serial_of()

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

crates/open_ai/Cargo.toml

@@ -0,0 +1,33 @@
+[package]
+name = "open_ai"
+version = "0.1.0"
+edition.workspace = true
+publish.workspace = true
+license = "GPL-3.0-or-later"
+
+[lints]
+workspace = true
+
+[lib]
+path = "src/open_ai.rs"
+
+[features]
+default = []
+schemars = ["dep:schemars"]
+
+[dependencies]
+anyhow.workspace = true
+collections.workspace = true
+futures.workspace = true
+http_client.workspace = true
+language_model_core.workspace = true
+rand.workspace = true
+schemars = { workspace = true, optional = true }
+log.workspace = true
+serde.workspace = true
+serde_json.workspace = true
+strum.workspace = true
+thiserror.workspace = true
+
+[dev-dependencies]
+pretty_assertions.workspace = true

crates/open_ai/LICENSE-GPL

@@ -0,0 +1 @@
+../../LICENSE-GPL

crates/open_ai/src/batches.rs

@@ -0,0 +1,332 @@
+use anyhow::Result;
+use futures::AsyncReadExt;
+use http_client::{AsyncBody, HttpClient, Method, Request as HttpRequest};
+use serde::{Deserialize, Serialize};
+
+use crate::{Request, RequestError, Response};
+
+/// A single request within a batch
+#[derive(Debug, Serialize, Deserialize)]
+pub struct BatchRequestItem {
+    pub custom_id: String,
+    pub method: String,
+    pub url: String,
+    pub body: Request,
+}
+
+impl BatchRequestItem {
+    pub fn new(custom_id: String, request: Request) -> Self {
+        Self {
+            custom_id,
+            method: "POST".to_string(),
+            url: "/v1/chat/completions".to_string(),
+            body: request,
+        }
+    }
+
+    pub fn to_jsonl_line(&self) -> Result<String, serde_json::Error> {
+        serde_json::to_string(self)
+    }
+}
+
+/// Request to create a batch
+#[derive(Debug, Serialize)]
+pub struct CreateBatchRequest {
+    pub input_file_id: String,
+    pub endpoint: String,
+    pub completion_window: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub metadata: Option<serde_json::Value>,
+}
+
+impl CreateBatchRequest {
+    pub fn new(input_file_id: String) -> Self {
+        Self {
+            input_file_id,
+            endpoint: "/v1/chat/completions".to_string(),
+            completion_window: "24h".to_string(),
+            metadata: None,
+        }
+    }
+}
+
+/// Response from batch creation or retrieval
+#[derive(Debug, Serialize, Deserialize)]
+pub struct Batch {
+    pub id: String,
+    pub object: String,
+    pub endpoint: String,
+    pub input_file_id: String,
+    pub completion_window: String,
+    pub status: String,
+    pub output_file_id: Option<String>,
+    pub error_file_id: Option<String>,
+    pub created_at: u64,
+    #[serde(default)]
+    pub in_progress_at: Option<u64>,
+    #[serde(default)]
+    pub expires_at: Option<u64>,
+    #[serde(default)]
+    pub finalizing_at: Option<u64>,
+    #[serde(default)]
+    pub completed_at: Option<u64>,
+    #[serde(default)]
+    pub failed_at: Option<u64>,
+    #[serde(default)]
+    pub expired_at: Option<u64>,
+    #[serde(default)]
+    pub cancelling_at: Option<u64>,
+    #[serde(default)]
+    pub cancelled_at: Option<u64>,
+    #[serde(default)]
+    pub request_counts: Option<BatchRequestCounts>,
+    #[serde(default)]
+    pub metadata: Option<serde_json::Value>,
+}
+
+#[derive(Debug, Serialize, Deserialize, Default)]
+pub struct BatchRequestCounts {
+    pub total: u64,
+    pub completed: u64,
+    pub failed: u64,
+}
+
+/// Response from file upload
+#[derive(Debug, Serialize, Deserialize)]
+pub struct FileObject {
+    pub id: String,
+    pub object: String,
+    pub bytes: u64,
+    pub created_at: u64,
+    pub filename: String,
+    pub purpose: String,
+}
+
+/// Individual result from batch output
+#[derive(Debug, Serialize, Deserialize)]
+pub struct BatchOutputItem {
+    pub id: String,
+    pub custom_id: String,
+    pub response: Option<BatchResponseBody>,
+    pub error: Option<BatchError>,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct BatchResponseBody {
+    pub status_code: u16,
+    pub body: Response,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct BatchError {
+    pub code: String,
+    pub message: String,
+}
+
+/// Upload a JSONL file for batch processing
+pub async fn upload_batch_file(
+    client: &dyn HttpClient,
+    api_url: &str,
+    api_key: &str,
+    filename: &str,
+    content: Vec<u8>,
+) -> Result<FileObject, RequestError> {
+    let uri = format!("{api_url}/files");
+
+    let boundary = format!("----WebKitFormBoundary{:x}", rand::random::<u64>());
+
+    let mut body = Vec::new();
+    body.extend_from_slice(format!("--{boundary}\r\n").as_bytes());
+    body.extend_from_slice(b"Content-Disposition: form-data; name=\"purpose\"\r\n\r\n");
+    body.extend_from_slice(b"batch\r\n");
+    body.extend_from_slice(format!("--{boundary}\r\n").as_bytes());
+    body.extend_from_slice(
+        format!("Content-Disposition: form-data; name=\"file\"; filename=\"{filename}\"\r\n")
+            .as_bytes(),
+    );
+    body.extend_from_slice(b"Content-Type: application/jsonl\r\n\r\n");
+    body.extend_from_slice(&content);
+    body.extend_from_slice(format!("\r\n--{boundary}--\r\n").as_bytes());
+
+    let request = HttpRequest::builder()
+        .method(Method::POST)
+        .uri(uri)
+        .header("Authorization", format!("Bearer {}", api_key.trim()))
+        .header(
+            "Content-Type",
+            format!("multipart/form-data; boundary={boundary}"),
+        )
+        .body(AsyncBody::from(body))
+        .map_err(|e| RequestError::Other(e.into()))?;
+
+    let mut response = client.send(request).await?;
+
+    if response.status().is_success() {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        serde_json::from_str(&body).map_err(|e| RequestError::Other(e.into()))
+    } else {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        Err(RequestError::HttpResponseError {
+            provider: "openai".to_owned(),
+            status_code: response.status(),
+            body,
+            headers: response.headers().clone(),
+        })
+    }
+}
+
+/// Create a batch from an uploaded file
+pub async fn create_batch(
+    client: &dyn HttpClient,
+    api_url: &str,
+    api_key: &str,
+    request: CreateBatchRequest,
+) -> Result<Batch, RequestError> {
+    let uri = format!("{api_url}/batches");
+
+    let serialized = serde_json::to_string(&request).map_err(|e| RequestError::Other(e.into()))?;
+
+    let request = HttpRequest::builder()
+        .method(Method::POST)
+        .uri(uri)
+        .header("Authorization", format!("Bearer {}", api_key.trim()))
+        .header("Content-Type", "application/json")
+        .body(AsyncBody::from(serialized))
+        .map_err(|e| RequestError::Other(e.into()))?;
+
+    let mut response = client.send(request).await?;
+
+    if response.status().is_success() {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        serde_json::from_str(&body).map_err(|e| RequestError::Other(e.into()))
+    } else {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        Err(RequestError::HttpResponseError {
+            provider: "openai".to_owned(),
+            status_code: response.status(),
+            body,
+            headers: response.headers().clone(),
+        })
+    }
+}
+
+/// Retrieve batch status
+pub async fn retrieve_batch(
+    client: &dyn HttpClient,
+    api_url: &str,
+    api_key: &str,
+    batch_id: &str,
+) -> Result<Batch, RequestError> {
+    let uri = format!("{api_url}/batches/{batch_id}");
+
+    let request = HttpRequest::builder()
+        .method(Method::GET)
+        .uri(uri)
+        .header("Authorization", format!("Bearer {}", api_key.trim()))
+        .body(AsyncBody::default())
+        .map_err(|e| RequestError::Other(e.into()))?;
+
+    let mut response = client.send(request).await?;
+
+    if response.status().is_success() {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        serde_json::from_str(&body).map_err(|e| RequestError::Other(e.into()))
+    } else {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        Err(RequestError::HttpResponseError {
+            provider: "openai".to_owned(),
+            status_code: response.status(),
+            body,
+            headers: response.headers().clone(),
+        })
+    }
+}
+
+/// Download file content (for batch results)
+pub async fn download_file(
+    client: &dyn HttpClient,
+    api_url: &str,
+    api_key: &str,
+    file_id: &str,
+) -> Result<String, RequestError> {
+    let uri = format!("{api_url}/files/{file_id}/content");
+
+    let request = HttpRequest::builder()
+        .method(Method::GET)
+        .uri(uri)
+        .header("Authorization", format!("Bearer {}", api_key.trim()))
+        .body(AsyncBody::default())
+        .map_err(|e| RequestError::Other(e.into()))?;
+
+    let mut response = client.send(request).await?;
+
+    if response.status().is_success() {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        Ok(body)
+    } else {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        Err(RequestError::HttpResponseError {
+            provider: "openai".to_owned(),
+            status_code: response.status(),
+            body,
+            headers: response.headers().clone(),
+        })
+    }
+}
+
+/// Parse batch output JSONL into individual results
+pub fn parse_batch_output(content: &str) -> Result<Vec<BatchOutputItem>, serde_json::Error> {
+    content
+        .lines()
+        .filter(|line| !line.trim().is_empty())
+        .map(|line| serde_json::from_str(line))
+        .collect()
+}

crates/open_ai/src/open_ai.rs

@@ -0,0 +1,868 @@
+pub mod batches;
+pub mod completion;
+pub mod responses;
+
+use anyhow::{Context as _, Result, anyhow};
+use futures::{AsyncBufReadExt, AsyncReadExt, StreamExt, io::BufReader, stream::BoxStream};
+use http_client::{
+    AsyncBody, HttpClient, Method, Request as HttpRequest, StatusCode,
+    http::{HeaderMap, HeaderValue},
+};
+pub use language_model_core::ReasoningEffort;
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+use std::{convert::TryFrom, future::Future};
+use strum::EnumIter;
+use thiserror::Error;
+
+pub const OPEN_AI_API_URL: &str = "https://api.openai.com/v1";
+
+fn is_none_or_empty<T: AsRef<[U]>, U>(opt: &Option<T>) -> bool {
+    opt.as_ref().is_none_or(|v| v.as_ref().is_empty())
+}
+
+#[derive(Clone, Copy, Serialize, Deserialize, Debug, Eq, PartialEq)]
+#[serde(rename_all = "lowercase")]
+pub enum Role {
+    User,
+    Assistant,
+    System,
+    Tool,
+}
+
+impl TryFrom<String> for Role {
+    type Error = anyhow::Error;
+
+    fn try_from(value: String) -> Result<Self> {
+        match value.as_str() {
+            "user" => Ok(Self::User),
+            "assistant" => Ok(Self::Assistant),
+            "system" => Ok(Self::System),
+            "tool" => Ok(Self::Tool),
+            _ => anyhow::bail!("invalid role '{value}'"),
+        }
+    }
+}
+
+impl From<Role> for String {
+    fn from(val: Role) -> Self {
+        match val {
+            Role::User => "user".to_owned(),
+            Role::Assistant => "assistant".to_owned(),
+            Role::System => "system".to_owned(),
+            Role::Tool => "tool".to_owned(),
+        }
+    }
+}
+
+#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
+#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq, EnumIter)]
+pub enum Model {
+    #[serde(rename = "gpt-4")]
+    Four,
+    #[serde(rename = "gpt-4o-mini")]
+    FourOmniMini,
+    #[serde(rename = "o3")]
+    O3,
+    #[serde(rename = "gpt-5")]
+    Five,
+    #[serde(rename = "gpt-5-mini")]
+    #[default]
+    FiveMini,
+    #[serde(rename = "gpt-5-nano")]
+    FiveNano,
+    #[serde(rename = "gpt-5.1")]
+    FivePointOne,
+    #[serde(rename = "gpt-5.2")]
+    FivePointTwo,
+    #[serde(rename = "gpt-5.3-codex")]
+    FivePointThreeCodex,
+    #[serde(rename = "gpt-5.4-nano")]
+    FivePointFourNano,
+    #[serde(rename = "gpt-5.4-mini")]
+    FivePointFourMini,
+    #[serde(rename = "gpt-5.4")]
+    FivePointFour,
+    #[serde(rename = "gpt-5.4-pro")]
+    FivePointFourPro,
+    #[serde(rename = "gpt-5.5")]
+    FivePointFive,
+    #[serde(rename = "gpt-5.5-pro")]
+    FivePointFivePro,
+    #[serde(rename = "custom")]
+    Custom {
+        name: String,
+        /// The name displayed in the UI, such as in the agent panel model dropdown menu.
+        display_name: Option<String>,
+        max_tokens: u64,
+        max_output_tokens: Option<u64>,
+        max_completion_tokens: Option<u64>,
+        reasoning_effort: Option<ReasoningEffort>,
+        #[serde(default = "default_supports_chat_completions")]
+        supports_chat_completions: bool,
+        #[serde(default = "default_supports_images")]
+        supports_images: bool,
+    },
+}
+
+const fn default_supports_chat_completions() -> bool {
+    true
+}
+
+const fn default_supports_images() -> bool {
+    true
+}
+
+impl Model {
+    pub fn default_fast() -> Self {
+        Self::FiveMini
+    }
+
+    pub fn from_id(id: &str) -> Result<Self> {
+        match id {
+            "gpt-4" => Ok(Self::Four),
+            "gpt-4o-mini" => Ok(Self::FourOmniMini),
+            "o3" => Ok(Self::O3),
+            "gpt-5" => Ok(Self::Five),
+            "gpt-5-mini" => Ok(Self::FiveMini),
+            "gpt-5-nano" => Ok(Self::FiveNano),
+            "gpt-5.1" => Ok(Self::FivePointOne),
+            "gpt-5.2" => Ok(Self::FivePointTwo),
+            "gpt-5.3-codex" => Ok(Self::FivePointThreeCodex),
+            "gpt-5.4-nano" => Ok(Self::FivePointFourNano),
+            "gpt-5.4-mini" => Ok(Self::FivePointFourMini),
+            "gpt-5.4" => Ok(Self::FivePointFour),
+            "gpt-5.4-pro" => Ok(Self::FivePointFourPro),
+            "gpt-5.5" => Ok(Self::FivePointFive),
+            "gpt-5.5-pro" => Ok(Self::FivePointFivePro),
+            invalid_id => anyhow::bail!("invalid model id '{invalid_id}'"),
+        }
+    }
+
+    pub fn id(&self) -> &str {
+        match self {
+            Self::Four => "gpt-4",
+            Self::FourOmniMini => "gpt-4o-mini",
+            Self::O3 => "o3",
+            Self::Five => "gpt-5",
+            Self::FiveMini => "gpt-5-mini",
+            Self::FiveNano => "gpt-5-nano",
+            Self::FivePointOne => "gpt-5.1",
+            Self::FivePointTwo => "gpt-5.2",
+            Self::FivePointThreeCodex => "gpt-5.3-codex",
+            Self::FivePointFourNano => "gpt-5.4-nano",
+            Self::FivePointFourMini => "gpt-5.4-mini",
+            Self::FivePointFour => "gpt-5.4",
+            Self::FivePointFourPro => "gpt-5.4-pro",
+            Self::FivePointFive => "gpt-5.5",
+            Self::FivePointFivePro => "gpt-5.5-pro",
+            Self::Custom { name, .. } => name,
+        }
+    }
+
+    pub fn display_name(&self) -> &str {
+        match self {
+            Self::Four => "gpt-4",
+            Self::FourOmniMini => "gpt-4o-mini",
+            Self::O3 => "o3",
+            Self::Five => "gpt-5",
+            Self::FiveMini => "gpt-5-mini",
+            Self::FiveNano => "gpt-5-nano",
+            Self::FivePointOne => "gpt-5.1",
+            Self::FivePointTwo => "gpt-5.2",
+            Self::FivePointThreeCodex => "gpt-5.3-codex",
+            Self::FivePointFourNano => "gpt-5.4-nano",
+            Self::FivePointFourMini => "gpt-5.4-mini",
+            Self::FivePointFour => "gpt-5.4",
+            Self::FivePointFourPro => "gpt-5.4-pro",
+            Self::FivePointFive => "gpt-5.5",
+            Self::FivePointFivePro => "gpt-5.5-pro",
+            Self::Custom { display_name, .. } => display_name.as_deref().unwrap_or(&self.id()),
+        }
+    }
+
+    pub fn max_token_count(&self) -> u64 {
+        match self {
+            Self::Four => 8_192,
+            Self::FourOmniMini => 128_000,
+            Self::O3 => 200_000,
+            Self::Five => 272_000,
+            Self::FiveMini => 400_000,
+            Self::FiveNano => 400_000,
+            Self::FivePointOne => 400_000,
+            Self::FivePointTwo => 400_000,
+            Self::FivePointThreeCodex => 400_000,
+            Self::FivePointFourNano => 400_000,
+            Self::FivePointFourMini => 400_000,
+            Self::FivePointFour => 1_050_000,
+            Self::FivePointFourPro => 1_050_000,
+            Self::FivePointFive => 1_050_000,
+            Self::FivePointFivePro => 1_050_000,
+            Self::Custom { max_tokens, .. } => *max_tokens,
+        }
+    }
+
+    pub fn max_output_tokens(&self) -> Option<u64> {
+        match self {
+            Self::Custom {
+                max_output_tokens, ..
+            } => *max_output_tokens,
+            Self::Four => Some(8_192),
+            Self::FourOmniMini => Some(16_384),
+            Self::O3 => Some(100_000),
+            Self::Five => Some(128_000),
+            Self::FiveMini => Some(128_000),
+            Self::FiveNano => Some(128_000),
+            Self::FivePointOne => Some(128_000),
+            Self::FivePointTwo => Some(128_000),
+            Self::FivePointThreeCodex => Some(128_000),
+            Self::FivePointFourNano => Some(128_000),
+            Self::FivePointFourMini => Some(128_000),
+            Self::FivePointFour => Some(128_000),
+            Self::FivePointFourPro => Some(128_000),
+            Self::FivePointFive => Some(128_000),
+            Self::FivePointFivePro => Some(128_000),
+        }
+    }
+
+    pub fn reasoning_effort(&self) -> Option<ReasoningEffort> {
+        match self {
+            Self::Custom {
+                reasoning_effort, ..
+            } => reasoning_effort.to_owned(),
+            Self::FivePointOne
+            | Self::FivePointTwo
+            | Self::FivePointFour
+            | Self::FivePointFourMini
+            | Self::FivePointFourNano => Some(ReasoningEffort::None),
+            Self::O3
+            | Self::Five
+            | Self::FiveMini
+            | Self::FiveNano
+            | Self::FivePointThreeCodex
+            | Self::FivePointFourPro
+            | Self::FivePointFive
+            | Self::FivePointFivePro => Some(ReasoningEffort::Medium),
+            _ => None,
+        }
+    }
+
+    pub fn supported_reasoning_efforts(&self) -> &'static [ReasoningEffort] {
+        match self {
+            Self::Custom {
+                reasoning_effort: Some(effort),
+                ..
+            } => match effort {
+                ReasoningEffort::None => &[ReasoningEffort::None],
+                ReasoningEffort::Minimal => &[ReasoningEffort::Minimal],
+                ReasoningEffort::Low => &[ReasoningEffort::Low],
+                ReasoningEffort::Medium => &[ReasoningEffort::Medium],
+                ReasoningEffort::High => &[ReasoningEffort::High],
+                ReasoningEffort::XHigh => &[ReasoningEffort::XHigh],
+            },
+            Self::O3 => &[
+                ReasoningEffort::Low,
+                ReasoningEffort::Medium,
+                ReasoningEffort::High,
+            ],
+            Self::FivePointOne => &[
+                ReasoningEffort::None,
+                ReasoningEffort::Low,
+                ReasoningEffort::Medium,
+                ReasoningEffort::High,
+            ],
+            Self::Five | Self::FiveMini | Self::FiveNano => &[
+                ReasoningEffort::Minimal,
+                ReasoningEffort::Low,
+                ReasoningEffort::Medium,
+                ReasoningEffort::High,
+            ],
+            Self::FivePointFourPro | Self::FivePointFivePro => &[
+                ReasoningEffort::Medium,
+                ReasoningEffort::High,
+                ReasoningEffort::XHigh,
+            ],
+            Self::FivePointThreeCodex => &[
+                ReasoningEffort::Low,
+                ReasoningEffort::Medium,
+                ReasoningEffort::High,
+                ReasoningEffort::XHigh,
+            ],
+            Self::FivePointTwo
+            | Self::FivePointFour
+            | Self::FivePointFive
+            | Self::FivePointFourMini
+            | Self::FivePointFourNano => &[
+                ReasoningEffort::None,
+                ReasoningEffort::Low,
+                ReasoningEffort::Medium,
+                ReasoningEffort::High,
+                ReasoningEffort::XHigh,
+            ],
+            _ => &[],
+        }
+    }
+
+    pub fn uses_responses_api(&self) -> bool {
+        match self {
+            Self::Custom {
+                supports_chat_completions,
+                ..
+            } => !*supports_chat_completions,
+            _ => true,
+        }
+    }
+
+    /// Returns whether the given model supports the `parallel_tool_calls` parameter.
+    ///
+    /// If the model does not support the parameter, do not pass it up, or the API will return an error.
+    pub fn supports_parallel_tool_calls(&self) -> bool {
+        match self {
+            Self::Four
+            | Self::FourOmniMini
+            | Self::Five
+            | Self::FiveMini
+            | Self::FivePointOne
+            | Self::FivePointTwo
+            | Self::FivePointThreeCodex
+            | Self::FivePointFour
+            | Self::FivePointFourMini
+            | Self::FivePointFourNano
+            | Self::FivePointFourPro
+            | Self::FivePointFive
+            | Self::FivePointFivePro
+            | Self::FiveNano => true,
+            Self::O3 | Model::Custom { .. } => false,
+        }
+    }
+
+    /// Returns whether the given model supports the `prompt_cache_key` parameter.
+    ///
+    /// If the model does not support the parameter, do not pass it up.
+    pub fn supports_prompt_cache_key(&self) -> bool {
+        true
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::{Model, ReasoningEffort};
+
+    #[test]
+    fn gpt_5_1_uses_none_reasoning_by_default() {
+        let expected_efforts = [
+            ReasoningEffort::None,
+            ReasoningEffort::Low,
+            ReasoningEffort::Medium,
+            ReasoningEffort::High,
+        ];
+
+        assert_eq!(
+            Model::FivePointOne.reasoning_effort(),
+            Some(ReasoningEffort::None)
+        );
+        assert_eq!(
+            Model::FivePointOne.supported_reasoning_efforts(),
+            expected_efforts.as_slice()
+        );
+    }
+
+    #[test]
+    fn newer_frontier_models_support_none_reasoning() {
+        let expected_efforts = [
+            ReasoningEffort::None,
+            ReasoningEffort::Low,
+            ReasoningEffort::Medium,
+            ReasoningEffort::High,
+            ReasoningEffort::XHigh,
+        ];
+
+        assert_eq!(
+            Model::FivePointTwo.reasoning_effort(),
+            Some(ReasoningEffort::None)
+        );
+        assert_eq!(
+            Model::FivePointTwo.supported_reasoning_efforts(),
+            expected_efforts.as_slice()
+        );
+        assert_eq!(
+            Model::FivePointFour.reasoning_effort(),
+            Some(ReasoningEffort::None)
+        );
+        assert_eq!(
+            Model::FivePointFour.supported_reasoning_efforts(),
+            expected_efforts.as_slice()
+        );
+        assert_eq!(
+            Model::FivePointFive.reasoning_effort(),
+            Some(ReasoningEffort::Medium)
+        );
+        assert_eq!(
+            Model::FivePointFive.supported_reasoning_efforts(),
+            expected_efforts.as_slice()
+        );
+    }
+
+    #[test]
+    fn newer_codex_models_support_low_reasoning_effort() {
+        let expected_efforts = [
+            ReasoningEffort::Low,
+            ReasoningEffort::Medium,
+            ReasoningEffort::High,
+            ReasoningEffort::XHigh,
+        ];
+
+        assert_eq!(
+            Model::FivePointThreeCodex.supported_reasoning_efforts(),
+            expected_efforts.as_slice()
+        );
+    }
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct StreamOptions {
+    pub include_usage: bool,
+}
+
+impl Default for StreamOptions {
+    fn default() -> Self {
+        Self {
+            include_usage: true,
+        }
+    }
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct Request {
+    pub model: String,
+    pub messages: Vec<RequestMessage>,
+    pub stream: bool,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub stream_options: Option<StreamOptions>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub max_completion_tokens: Option<u64>,
+    #[serde(default, skip_serializing_if = "Vec::is_empty")]
+    pub stop: Vec<String>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub temperature: Option<f32>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub tool_choice: Option<ToolChoice>,
+    /// Whether to enable parallel function calling during tool use.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub parallel_tool_calls: Option<bool>,
+    #[serde(default, skip_serializing_if = "Vec::is_empty")]
+    pub tools: Vec<ToolDefinition>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub prompt_cache_key: Option<String>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub reasoning_effort: Option<ReasoningEffort>,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+#[serde(rename_all = "lowercase")]
+pub enum ToolChoice {
+    Auto,
+    Required,
+    None,
+    #[serde(untagged)]
+    Other(ToolDefinition),
+}
+
+#[derive(Clone, Deserialize, Serialize, Debug)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ToolDefinition {
+    #[allow(dead_code)]
+    Function { function: FunctionDefinition },
+}
+
+#[derive(Clone, Debug, Serialize, Deserialize)]
+pub struct FunctionDefinition {
+    pub name: String,
+    pub description: Option<String>,
+    pub parameters: Option<Value>,
+}
+
+#[derive(Clone, Serialize, Deserialize, Debug, Eq, PartialEq)]
+#[serde(tag = "role", rename_all = "lowercase")]
+pub enum RequestMessage {
+    Assistant {
+        content: Option<MessageContent>,
+        #[serde(default, skip_serializing_if = "Vec::is_empty")]
+        tool_calls: Vec<ToolCall>,
+        #[serde(default, skip_serializing_if = "Option::is_none")]
+        reasoning_content: Option<String>,
+    },
+    User {
+        content: MessageContent,
+    },
+    System {
+        content: MessageContent,
+    },
+    Tool {
+        content: MessageContent,
+        tool_call_id: String,
+    },
+}
+
+#[derive(Serialize, Deserialize, Clone, Debug, Eq, PartialEq)]
+#[serde(untagged)]
+pub enum MessageContent {
+    Plain(String),
+    Multipart(Vec<MessagePart>),
+}
+
+impl MessageContent {
+    pub fn empty() -> Self {
+        MessageContent::Multipart(vec![])
+    }
+
+    pub fn push_part(&mut self, part: MessagePart) {
+        match self {
+            MessageContent::Plain(text) => {
+                *self =
+                    MessageContent::Multipart(vec![MessagePart::Text { text: text.clone() }, part]);
+            }
+            MessageContent::Multipart(parts) if parts.is_empty() => match part {
+                MessagePart::Text { text } => *self = MessageContent::Plain(text),
+                MessagePart::Image { .. } => *self = MessageContent::Multipart(vec![part]),
+            },
+            MessageContent::Multipart(parts) => parts.push(part),
+        }
+    }
+}
+
+impl From<Vec<MessagePart>> for MessageContent {
+    fn from(mut parts: Vec<MessagePart>) -> Self {
+        if let [MessagePart::Text { text }] = parts.as_mut_slice() {
+            MessageContent::Plain(std::mem::take(text))
+        } else {
+            MessageContent::Multipart(parts)
+        }
+    }
+}
+
+#[derive(Serialize, Deserialize, Clone, Debug, Eq, PartialEq)]
+#[serde(tag = "type")]
+pub enum MessagePart {
+    #[serde(rename = "text")]
+    Text { text: String },
+    #[serde(rename = "image_url")]
+    Image { image_url: ImageUrl },
+}
+
+#[derive(Serialize, Deserialize, Clone, Debug, Eq, PartialEq)]
+pub struct ImageUrl {
+    pub url: String,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub detail: Option<String>,
+}
+
+#[derive(Clone, Serialize, Deserialize, Debug, Eq, PartialEq)]
+pub struct ToolCall {
+    pub id: String,
+    #[serde(flatten)]
+    pub content: ToolCallContent,
+}
+
+#[derive(Clone, Serialize, Deserialize, Debug, Eq, PartialEq)]
+#[serde(tag = "type", rename_all = "lowercase")]
+pub enum ToolCallContent {
+    Function { function: FunctionContent },
+}
+
+#[derive(Clone, Serialize, Deserialize, Debug, Eq, PartialEq)]
+pub struct FunctionContent {
+    pub name: String,
+    pub arguments: String,
+}
+
+#[derive(Clone, Serialize, Deserialize, Debug)]
+pub struct Response {
+    pub id: String,
+    pub object: String,
+    pub created: u64,
+    pub model: String,
+    pub choices: Vec<Choice>,
+    pub usage: Usage,
+}
+
+#[derive(Clone, Serialize, Deserialize, Debug)]
+pub struct Choice {
+    pub index: u32,
+    pub message: RequestMessage,
+    pub finish_reason: Option<String>,
+}
+
+#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
+pub struct ResponseMessageDelta {
+    pub role: Option<Role>,
+    pub content: Option<String>,
+    #[serde(default, skip_serializing_if = "is_none_or_empty")]
+    pub tool_calls: Option<Vec<ToolCallChunk>>,
+    #[serde(default, skip_serializing_if = "is_none_or_empty")]
+    pub reasoning_content: Option<String>,
+}
+
+#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
+pub struct ToolCallChunk {
+    pub index: usize,
+    pub id: Option<String>,
+
+    // There is also an optional `type` field that would determine if a
+    // function is there. Sometimes this streams in with the `function` before
+    // it streams in the `type`
+    pub function: Option<FunctionChunk>,
+}
+
+#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
+pub struct FunctionChunk {
+    pub name: Option<String>,
+    pub arguments: Option<String>,
+}
+
+#[derive(Clone, Serialize, Deserialize, Debug)]
+pub struct Usage {
+    pub prompt_tokens: u64,
+    pub completion_tokens: u64,
+    pub total_tokens: u64,
+}
+
+#[derive(Serialize, Deserialize, Debug)]
+pub struct ChoiceDelta {
+    pub index: u32,
+    pub delta: Option<ResponseMessageDelta>,
+    pub finish_reason: Option<String>,
+}
+
+#[derive(Error, Debug)]
+pub enum RequestError {
+    #[error("HTTP response error from {provider}'s API: status {status_code} - {body:?}")]
+    HttpResponseError {
+        provider: String,
+        status_code: StatusCode,
+        body: String,
+        headers: HeaderMap<HeaderValue>,
+    },
+    #[error(transparent)]
+    Other(#[from] anyhow::Error),
+}
+
+#[derive(Serialize, Deserialize, Debug)]
+pub struct ResponseStreamError {
+    message: String,
+}
+
+#[derive(Serialize, Deserialize, Debug)]
+#[serde(untagged)]
+pub enum ResponseStreamResult {
+    Ok(ResponseStreamEvent),
+    Err { error: ResponseStreamError },
+}
+
+#[derive(Serialize, Deserialize, Debug)]
+pub struct ResponseStreamEvent {
+    pub choices: Vec<ChoiceDelta>,
+    pub usage: Option<Usage>,
+}
+
+pub async fn non_streaming_completion(
+    client: &dyn HttpClient,
+    api_url: &str,
+    api_key: &str,
+    request: Request,
+) -> Result<Response, RequestError> {
+    let uri = format!("{api_url}/chat/completions");
+    let request_builder = HttpRequest::builder()
+        .method(Method::POST)
+        .uri(uri)
+        .header("Content-Type", "application/json")
+        .header("Authorization", format!("Bearer {}", api_key.trim()));
+
+    let request = request_builder
+        .body(AsyncBody::from(
+            serde_json::to_string(&request).map_err(|e| RequestError::Other(e.into()))?,
+        ))
+        .map_err(|e| RequestError::Other(e.into()))?;
+
+    let mut response = client.send(request).await?;
+    if response.status().is_success() {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        serde_json::from_str(&body).map_err(|e| RequestError::Other(e.into()))
+    } else {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        Err(RequestError::HttpResponseError {
+            provider: "openai".to_owned(),
+            status_code: response.status(),
+            body,
+            headers: response.headers().clone(),
+        })
+    }
+}
+
+pub async fn stream_completion(
+    client: &dyn HttpClient,
+    provider_name: &str,
+    api_url: &str,
+    api_key: &str,
+    request: Request,
+) -> Result<BoxStream<'static, Result<ResponseStreamEvent>>, RequestError> {
+    let uri = format!("{api_url}/chat/completions");
+    let request_builder = HttpRequest::builder()
+        .method(Method::POST)
+        .uri(uri)
+        .header("Content-Type", "application/json")
+        .header("Authorization", format!("Bearer {}", api_key.trim()));
+
+    let request = request_builder
+        .body(AsyncBody::from(
+            serde_json::to_string(&request).map_err(|e| RequestError::Other(e.into()))?,
+        ))
+        .map_err(|e| RequestError::Other(e.into()))?;
+
+    let mut response = client.send(request).await?;
+    if response.status().is_success() {
+        let reader = BufReader::new(response.into_body());
+        Ok(reader
+            .lines()
+            .filter_map(|line| async move {
+                match line {
+                    Ok(line) => {
+                        let line = line.strip_prefix("data: ").or_else(|| line.strip_prefix("data:"))?;
+                        if line == "[DONE]" {
+                            None
+                        } else {
+                            match serde_json::from_str(line) {
+                                Ok(ResponseStreamResult::Ok(response)) => Some(Ok(response)),
+                                Ok(ResponseStreamResult::Err { error }) => {
+                                    Some(Err(anyhow!(error.message)))
+                                }
+                                Err(error) => {
+                                    log::error!(
+                                        "Failed to parse OpenAI response into ResponseStreamResult: `{}`\n\
+                                        Response: `{}`",
+                                        error,
+                                        line,
+                                    );
+                                    Some(Err(anyhow!(error)))
+                                }
+                            }
+                        }
+                    }
+                    Err(error) => Some(Err(anyhow!(error))),
+                }
+            })
+            .boxed())
+    } else {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        Err(RequestError::HttpResponseError {
+            provider: provider_name.to_owned(),
+            status_code: response.status(),
+            body,
+            headers: response.headers().clone(),
+        })
+    }
+}
+
+#[derive(Copy, Clone, Serialize, Deserialize)]
+pub enum OpenAiEmbeddingModel {
+    #[serde(rename = "text-embedding-3-small")]
+    TextEmbedding3Small,
+    #[serde(rename = "text-embedding-3-large")]
+    TextEmbedding3Large,
+}
+
+#[derive(Serialize)]
+struct OpenAiEmbeddingRequest<'a> {
+    model: OpenAiEmbeddingModel,
+    input: Vec<&'a str>,
+}
+
+#[derive(Deserialize)]
+pub struct OpenAiEmbeddingResponse {
+    pub data: Vec<OpenAiEmbedding>,
+}
+
+#[derive(Deserialize)]
+pub struct OpenAiEmbedding {
+    pub embedding: Vec<f32>,
+}
+
+pub fn embed<'a>(
+    client: &dyn HttpClient,
+    api_url: &str,
+    api_key: &str,
+    model: OpenAiEmbeddingModel,
+    texts: impl IntoIterator<Item = &'a str>,
+) -> impl 'static + Future<Output = Result<OpenAiEmbeddingResponse>> {
+    let uri = format!("{api_url}/embeddings");
+
+    let request = OpenAiEmbeddingRequest {
+        model,
+        input: texts.into_iter().collect(),
+    };
+    let body = AsyncBody::from(serde_json::to_string(&request).unwrap());
+    let request = HttpRequest::builder()
+        .method(Method::POST)
+        .uri(uri)
+        .header("Content-Type", "application/json")
+        .header("Authorization", format!("Bearer {}", api_key.trim()))
+        .body(body)
+        .map(|request| client.send(request));
+
+    async move {
+        let mut response = request?.await?;
+        let mut body = String::new();
+        response.body_mut().read_to_string(&mut body).await?;
+
+        anyhow::ensure!(
+            response.status().is_success(),
+            "error during embedding, status: {:?}, body: {:?}",
+            response.status(),
+            body
+        );
+        let response: OpenAiEmbeddingResponse =
+            serde_json::from_str(&body).context("failed to parse OpenAI embedding response")?;
+        Ok(response)
+    }
+}
+
+// -- Conversions to `language_model_core` types --
+
+impl From<RequestError> for language_model_core::LanguageModelCompletionError {
+    fn from(error: RequestError) -> Self {
+        match error {
+            RequestError::HttpResponseError {
+                provider,
+                status_code,
+                body,
+                headers,
+            } => {
+                let retry_after = headers
+                    .get(http_client::http::header::RETRY_AFTER)
+                    .and_then(|val| val.to_str().ok()?.parse::<u64>().ok())
+                    .map(std::time::Duration::from_secs);
+
+                Self::from_http_status(provider.into(), status_code, body, retry_after)
+            }
+            RequestError::Other(e) => Self::Other(e),
+        }
+    }
+}

crates/open_ai/src/responses.rs

@@ -0,0 +1,564 @@
+use anyhow::{Result, anyhow};
+use futures::{AsyncBufReadExt, AsyncReadExt, StreamExt, io::BufReader, stream::BoxStream};
+use http_client::{AsyncBody, HttpClient, Method, Request as HttpRequest};
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+
+use crate::{ReasoningEffort, RequestError, Role, ToolChoice};
+
+#[derive(Serialize, Debug)]
+pub struct Request {
+    pub model: String,
+    #[serde(skip_serializing_if = "Vec::is_empty")]
+    pub input: Vec<ResponseInputItem>,
+    pub store: bool,
+    #[serde(skip_serializing_if = "Vec::is_empty")]
+    pub include: Vec<ResponseIncludable>,
+    #[serde(default)]
+    pub stream: bool,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub temperature: Option<f32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub top_p: Option<f32>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub max_output_tokens: Option<u64>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub parallel_tool_calls: Option<bool>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub tool_choice: Option<ToolChoice>,
+    #[serde(skip_serializing_if = "Vec::is_empty")]
+    pub tools: Vec<ToolDefinition>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub prompt_cache_key: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub reasoning: Option<ReasoningConfig>,
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq)]
+#[serde(rename_all = "snake_case")]
+pub enum ResponseIncludable {
+    #[serde(rename = "reasoning.encrypted_content")]
+    ReasoningEncryptedContent,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ResponseInputItem {
+    Message(ResponseMessageItem),
+    FunctionCall(ResponseFunctionCallItem),
+    FunctionCallOutput(ResponseFunctionCallOutputItem),
+    Reasoning(ResponseReasoningInputItem),
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct ResponseMessageItem {
+    pub role: Role,
+    pub content: Vec<ResponseInputContent>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub phase: Option<String>,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct ResponseFunctionCallItem {
+    pub call_id: String,
+    pub name: String,
+    pub arguments: String,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct ResponseFunctionCallOutputItem {
+    pub call_id: String,
+    pub output: ResponseFunctionCallOutputContent,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
+pub struct ResponseReasoningInputItem {
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub id: Option<String>,
+    #[serde(default)]
+    pub summary: Vec<ResponseReasoningSummaryPart>,
+    #[serde(default, skip_serializing_if = "Vec::is_empty")]
+    pub content: Vec<Value>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub encrypted_content: Option<String>,
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub status: Option<String>,
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ResponseReasoningSummaryPart {
+    SummaryText { text: String },
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+#[serde(untagged)]
+pub enum ResponseFunctionCallOutputContent {
+    List(Vec<ResponseInputContent>),
+    Text(String),
+}
+
+#[derive(Debug, Clone, Serialize, Deserialize)]
+#[serde(tag = "type")]
+pub enum ResponseInputContent {
+    #[serde(rename = "input_text")]
+    Text { text: String },
+    #[serde(rename = "input_image")]
+    Image { image_url: String },
+    #[serde(rename = "output_text")]
+    OutputText {
+        text: String,
+        #[serde(default)]
+        annotations: Vec<serde_json::Value>,
+    },
+    #[serde(rename = "refusal")]
+    Refusal { refusal: String },
+}
+
+#[derive(Serialize, Debug)]
+pub struct ReasoningConfig {
+    pub effort: ReasoningEffort,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub summary: Option<ReasoningSummaryMode>,
+}
+
+#[derive(Serialize, Debug, Clone, Copy, PartialEq, Eq)]
+#[serde(rename_all = "lowercase")]
+pub enum ReasoningSummaryMode {
+    Auto,
+    Concise,
+    Detailed,
+}
+
+#[derive(Serialize, Debug)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ToolDefinition {
+    Function {
+        name: String,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        description: Option<String>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        parameters: Option<Value>,
+        #[serde(skip_serializing_if = "Option::is_none")]
+        strict: Option<bool>,
+    },
+}
+
+#[derive(Deserialize, Debug, Clone)]
+pub struct ResponseError {
+    #[serde(default)]
+    pub code: Option<String>,
+    pub message: String,
+    #[serde(default)]
+    pub param: Option<Value>,
+}
+
+#[derive(Deserialize, Debug)]
+#[serde(tag = "type")]
+pub enum StreamEvent {
+    #[serde(rename = "response.created")]
+    Created { response: ResponseSummary },
+    #[serde(rename = "response.in_progress")]
+    InProgress { response: ResponseSummary },
+    #[serde(rename = "response.output_item.added")]
+    OutputItemAdded {
+        output_index: usize,
+        #[serde(default)]
+        sequence_number: Option<u64>,
+        item: ResponseOutputItem,
+    },
+    #[serde(rename = "response.output_item.done")]
+    OutputItemDone {
+        output_index: usize,
+        #[serde(default)]
+        sequence_number: Option<u64>,
+        item: ResponseOutputItem,
+    },
+    #[serde(rename = "response.content_part.added")]
+    ContentPartAdded {
+        item_id: String,
+        output_index: usize,
+        content_index: usize,
+        part: Value,
+    },
+    #[serde(rename = "response.content_part.done")]
+    ContentPartDone {
+        item_id: String,
+        output_index: usize,
+        content_index: usize,
+        part: Value,
+    },
+    #[serde(rename = "response.output_text.delta")]
+    OutputTextDelta {
+        item_id: String,
+        output_index: usize,
+        #[serde(default)]
+        content_index: Option<usize>,
+        delta: String,
+    },
+    #[serde(rename = "response.output_text.done")]
+    OutputTextDone {
+        item_id: String,
+        output_index: usize,
+        #[serde(default)]
+        content_index: Option<usize>,
+        text: String,
+    },
+    #[serde(rename = "response.refusal.delta")]
+    RefusalDelta {
+        item_id: String,
+        output_index: usize,
+        content_index: usize,
+        delta: String,
+        #[serde(default)]
+        sequence_number: Option<u64>,
+    },
+    #[serde(rename = "response.refusal.done")]
+    RefusalDone {
+        item_id: String,
+        output_index: usize,
+        content_index: usize,
+        refusal: String,
+        #[serde(default)]
+        sequence_number: Option<u64>,
+    },
+    #[serde(rename = "response.reasoning_summary_part.added")]
+    ReasoningSummaryPartAdded {
+        item_id: String,
+        output_index: usize,
+        summary_index: usize,
+    },
+    #[serde(rename = "response.reasoning_summary_text.delta")]
+    ReasoningSummaryTextDelta {
+        item_id: String,
+        output_index: usize,
+        delta: String,
+    },
+    #[serde(rename = "response.reasoning_summary_text.done")]
+    ReasoningSummaryTextDone {
+        item_id: String,
+        output_index: usize,
+        text: String,
+    },
+    #[serde(rename = "response.reasoning_summary_part.done")]
+    ReasoningSummaryPartDone {
+        item_id: String,
+        output_index: usize,
+        summary_index: usize,
+    },
+    #[serde(rename = "response.function_call_arguments.delta")]
+    FunctionCallArgumentsDelta {
+        item_id: String,
+        output_index: usize,
+        delta: String,
+        #[serde(default)]
+        sequence_number: Option<u64>,
+    },
+    #[serde(rename = "response.function_call_arguments.done")]
+    FunctionCallArgumentsDone {
+        item_id: String,
+        output_index: usize,
+        arguments: String,
+        #[serde(default)]
+        sequence_number: Option<u64>,
+    },
+    #[serde(rename = "response.completed")]
+    Completed { response: ResponseSummary },
+    #[serde(rename = "response.incomplete")]
+    Incomplete { response: ResponseSummary },
+    #[serde(rename = "response.failed")]
+    Failed { response: ResponseSummary },
+    #[serde(rename = "response.error")]
+    Error { error: ResponseError },
+    #[serde(rename = "error")]
+    GenericError {
+        #[serde(flatten)]
+        error: ResponseError,
+    },
+    #[serde(other)]
+    Unknown,
+}
+
+#[derive(Deserialize, Debug, Default, Clone)]
+pub struct ResponseSummary {
+    #[serde(default)]
+    pub id: Option<String>,
+    #[serde(default)]
+    pub status: Option<String>,
+    #[serde(default)]
+    pub incomplete_details: Option<ResponseIncompleteDetails>,
+    #[serde(default)]
+    pub error: Option<ResponseError>,
+    #[serde(default)]
+    pub usage: Option<ResponseUsage>,
+    #[serde(default)]
+    pub output: Vec<ResponseOutputItem>,
+}
+
+#[derive(Deserialize, Debug, Default, Clone)]
+pub struct ResponseIncompleteDetails {
+    #[serde(default)]
+    pub reason: Option<String>,
+}
+
+#[derive(Deserialize, Debug, Default, Clone)]
+pub struct ResponseUsage {
+    #[serde(default)]
+    pub input_tokens: Option<u64>,
+    #[serde(default)]
+    pub input_tokens_details: ResponseInputTokensDetails,
+    #[serde(default)]
+    pub output_tokens: Option<u64>,
+    #[serde(default)]
+    pub output_tokens_details: ResponseOutputTokensDetails,
+    #[serde(default)]
+    pub total_tokens: Option<u64>,
+}
+
+#[derive(Deserialize, Debug, Default, Clone)]
+pub struct ResponseInputTokensDetails {
+    #[serde(default)]
+    pub cached_tokens: u64,
+}
+
+#[derive(Deserialize, Debug, Default, Clone)]
+pub struct ResponseOutputTokensDetails {
+    #[serde(default)]
+    pub reasoning_tokens: u64,
+}
+
+#[derive(Deserialize, Debug, Clone)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ResponseOutputItem {
+    Message(ResponseOutputMessage),
+    FunctionCall(ResponseFunctionToolCall),
+    Reasoning(ResponseReasoningItem),
+    #[serde(other)]
+    Unknown,
+}
+
+#[derive(Deserialize, Debug, Clone)]
+pub struct ResponseReasoningItem {
+    #[serde(default)]
+    pub id: Option<String>,
+    #[serde(default)]
+    pub summary: Vec<ReasoningSummaryPart>,
+    #[serde(default)]
+    pub content: Vec<Value>,
+    #[serde(default)]
+    pub encrypted_content: Option<String>,
+    #[serde(default)]
+    pub status: Option<String>,
+}
+
+#[derive(Deserialize, Debug, Clone)]
+#[serde(tag = "type", rename_all = "snake_case")]
+pub enum ReasoningSummaryPart {
+    SummaryText {
+        text: String,
+    },
+    #[serde(other)]
+    Unknown,
+}
+
+#[derive(Deserialize, Debug, Clone)]
+pub struct ResponseOutputMessage {
+    #[serde(default)]
+    pub id: Option<String>,
+    #[serde(default)]
+    pub content: Vec<Value>,
+    #[serde(default)]
+    pub role: Option<String>,
+    #[serde(default)]
+    pub status: Option<String>,
+    #[serde(default)]
+    pub phase: Option<String>,
+}
+
+#[derive(Deserialize, Debug, Clone)]
+pub struct ResponseFunctionToolCall {
+    #[serde(default)]
+    pub id: Option<String>,
+    #[serde(default)]
+    pub arguments: String,
+    #[serde(default)]
+    pub call_id: Option<String>,
+    #[serde(default)]
+    pub name: Option<String>,
+    #[serde(default)]
+    pub status: Option<String>,
+}
+
+pub async fn stream_response(
+    client: &dyn HttpClient,
+    provider_name: &str,
+    api_url: &str,
+    api_key: &str,
+    request: Request,
+) -> Result<BoxStream<'static, Result<StreamEvent>>, RequestError> {
+    let uri = format!("{api_url}/responses");
+    let request_builder = HttpRequest::builder()
+        .method(Method::POST)
+        .uri(uri)
+        .header("Content-Type", "application/json")
+        .header("Authorization", format!("Bearer {}", api_key.trim()));
+
+    let is_streaming = request.stream;
+    let request = request_builder
+        .body(AsyncBody::from(
+            serde_json::to_string(&request).map_err(|e| RequestError::Other(e.into()))?,
+        ))
+        .map_err(|e| RequestError::Other(e.into()))?;
+
+    let mut response = client.send(request).await?;
+    if response.status().is_success() {
+        if is_streaming {
+            let reader = BufReader::new(response.into_body());
+            Ok(reader
+                .lines()
+                .filter_map(|line| async move {
+                    match line {
+                        Ok(line) => {
+                            let line = line
+                                .strip_prefix("data: ")
+                                .or_else(|| line.strip_prefix("data:"))?;
+                            if line == "[DONE]" || line.is_empty() {
+                                None
+                            } else {
+                                match serde_json::from_str::<StreamEvent>(line) {
+                                    Ok(event) => Some(Ok(event)),
+                                    Err(error) => {
+                                        log::error!(
+                                            "Failed to parse OpenAI responses stream event: `{}`\nResponse: `{}`",
+                                            error,
+                                            line,
+                                        );
+                                        Some(Err(anyhow!(error)))
+                                    }
+                                }
+                            }
+                        }
+                        Err(error) => Some(Err(anyhow!(error))),
+                    }
+                })
+                .boxed())
+        } else {
+            let mut body = String::new();
+            response
+                .body_mut()
+                .read_to_string(&mut body)
+                .await
+                .map_err(|e| RequestError::Other(e.into()))?;
+
+            match serde_json::from_str::<ResponseSummary>(&body) {
+                Ok(response_summary) => {
+                    let events = vec![
+                        StreamEvent::Created {
+                            response: response_summary.clone(),
+                        },
+                        StreamEvent::InProgress {
+                            response: response_summary.clone(),
+                        },
+                    ];
+
+                    let mut all_events = events;
+                    for (output_index, item) in response_summary.output.iter().enumerate() {
+                        all_events.push(StreamEvent::OutputItemAdded {
+                            output_index,
+                            sequence_number: None,
+                            item: item.clone(),
+                        });
+
+                        match item {
+                            ResponseOutputItem::Message(message) => {
+                                for content_item in &message.content {
+                                    if let Some(text) = content_item.get("text") {
+                                        if let Some(text_str) = text.as_str() {
+                                            if let Some(ref item_id) = message.id {
+                                                all_events.push(StreamEvent::OutputTextDelta {
+                                                    item_id: item_id.clone(),
+                                                    output_index,
+                                                    content_index: None,
+                                                    delta: text_str.to_string(),
+                                                });
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                            ResponseOutputItem::FunctionCall(function_call) => {
+                                if let Some(ref item_id) = function_call.id {
+                                    all_events.push(StreamEvent::FunctionCallArgumentsDone {
+                                        item_id: item_id.clone(),
+                                        output_index,
+                                        arguments: function_call.arguments.clone(),
+                                        sequence_number: None,
+                                    });
+                                }
+                            }
+                            ResponseOutputItem::Reasoning(reasoning) => {
+                                if let Some(ref item_id) = reasoning.id {
+                                    for part in &reasoning.summary {
+                                        if let ReasoningSummaryPart::SummaryText { text } = part {
+                                            all_events.push(
+                                                StreamEvent::ReasoningSummaryTextDelta {
+                                                    item_id: item_id.clone(),
+                                                    output_index,
+                                                    delta: text.clone(),
+                                                },
+                                            );
+                                        }
+                                    }
+                                }
+                            }
+                            ResponseOutputItem::Unknown => {}
+                        }
+
+                        all_events.push(StreamEvent::OutputItemDone {
+                            output_index,
+                            sequence_number: None,
+                            item: item.clone(),
+                        });
+                    }
+
+                    let status = response_summary.status.clone();
+                    all_events.push(match status.as_deref() {
+                        Some("incomplete") => StreamEvent::Incomplete {
+                            response: response_summary,
+                        },
+                        Some("failed") => StreamEvent::Failed {
+                            response: response_summary,
+                        },
+                        _ => StreamEvent::Completed {
+                            response: response_summary,
+                        },
+                    });
+
+                    Ok(futures::stream::iter(all_events.into_iter().map(Ok)).boxed())
+                }
+                Err(error) => {
+                    log::error!(
+                        "Failed to parse OpenAI non-streaming response: `{}`\nResponse: `{}`",
+                        error,
+                        body,
+                    );
+                    Err(RequestError::Other(anyhow!(error)))
+                }
+            }
+        }
+    } else {
+        let mut body = String::new();
+        response
+            .body_mut()
+            .read_to_string(&mut body)
+            .await
+            .map_err(|e| RequestError::Other(e.into()))?;
+
+        Err(RequestError::HttpResponseError {
+            provider: provider_name.to_owned(),
+            status_code: response.status(),
+            body,
+            headers: response.headers().clone(),
+        })
+    }
+}