use std::io::BufRead;
use std::path::Path;
use std::sync::OnceLock;
use std::time::Duration;
use agcodex_login::AuthMode;
use agcodex_login::CodexAuth;
use bytes::Bytes;
use eventsource_stream::Eventsource;
use futures::prelude::*;
use regex_lite::Regex;
use reqwest::StatusCode;
use serde::Deserialize;
use serde::Serialize;
use serde_json::Value;
use tokio::sync::mpsc;
use tokio::time::timeout;
use tokio_util::io::ReaderStream;
use tracing::debug;
use tracing::trace;
use tracing::warn;
use uuid::Uuid;
use crate::chat_completions::AggregateStreamExt;
use crate::chat_completions::stream_chat_completions;
use crate::client_common::Prompt;
use crate::client_common::ResponseEvent;
use crate::client_common::ResponseStream;
use crate::client_common::ResponsesApiRequest;
use crate::client_common::create_reasoning_param_for_request;
use crate::config::Config;
use crate::error::CodexErr;
use crate::error::Result;
use crate::error::UsageLimitReachedError;
use crate::flags::CODEX_RS_SSE_FIXTURE;
use crate::model_family::ModelFamily;
use crate::model_provider_info::ModelProviderInfo;
use crate::model_provider_info::WireApi;
use crate::models::ResponseItem;
use crate::openai_tools::create_tools_json_for_responses_api;
use crate::protocol::TokenUsage;
use crate::user_agent::get_codex_user_agent;
use crate::util::backoff;
use agcodex_protocol::config_types::ReasoningEffort as ReasoningEffortConfig;
use agcodex_protocol::config_types::ReasoningSummary as ReasoningSummaryConfig;
use std::sync::Arc;
#[derive(Debug, Deserialize)]
struct ErrorResponse {
error: Error,
}
#[derive(Debug, Deserialize)]
struct Error {
r#type: Option<String>,
code: Option<String>,
message: Option<String>,
}
#[derive(Debug, Clone)]
pub struct ModelClient {
config: Arc<Config>,
auth: Option<CodexAuth>,
client: reqwest::Client,
provider: ModelProviderInfo,
session_id: Uuid,
effort: ReasoningEffortConfig,
summary: ReasoningSummaryConfig,
}
impl ModelClient {
pub fn new(
config: Arc<Config>,
auth: Option<CodexAuth>,
provider: ModelProviderInfo,
effort: ReasoningEffortConfig,
summary: ReasoningSummaryConfig,
session_id: Uuid,
) -> Self {
Self {
config,
auth,
client: reqwest::Client::new(),
provider,
session_id,
effort,
summary,
}
}
/// Dispatches to either the Responses or Chat implementation depending on
/// the provider config. Public callers always invoke `stream()` – the
/// specialised helpers are private to avoid accidental misuse.
pub async fn stream(&self, prompt: &Prompt) -> Result<ResponseStream> {
match self.provider.wire_api {
WireApi::Responses => self.stream_responses(prompt).await,
WireApi::Chat => {
// Create the raw streaming connection first.
let response_stream = stream_chat_completions(
prompt,
&self.config.model_family,
&self.client,
&self.provider,
)
.await?;
// Wrap it with the aggregation adapter so callers see *only*
// the final assistant message per turn (matching the
// behaviour of the Responses API).
let mut aggregated = if self.config.show_raw_agent_reasoning {
crate::chat_completions::AggregatedChatStream::streaming_mode(response_stream)
} else {
response_stream.aggregate()
};
// Bridge the aggregated stream back into a standard
// `ResponseStream` by forwarding events through a channel.
let (tx, rx) = mpsc::channel::<Result<ResponseEvent>>(16);
tokio::spawn(async move {
use futures::StreamExt;
while let Some(ev) = aggregated.next().await {
// Exit early if receiver hung up.
if tx.send(ev).await.is_err() {
break;
}
}
});
Ok(ResponseStream { rx_event: rx })
}
}
}
/// Implementation for the OpenAI *Responses* experimental API.
async fn stream_responses(&self, prompt: &Prompt) -> Result<ResponseStream> {
if let Some(path) = &*CODEX_RS_SSE_FIXTURE {
// short circuit for tests
warn!(path, "Streaming from fixture");
return stream_from_fixture(path, self.provider.clone()).await;
}
let auth = self.auth.clone();
let auth_mode = auth.as_ref().map(|a| a.mode);
let store = prompt.store && auth_mode != Some(AuthMode::ChatGPT);
let full_instructions = prompt.get_full_instructions(&self.config.model_family);
let tools_json = create_tools_json_for_responses_api(&prompt.tools)?;
let reasoning = create_reasoning_param_for_request(
&self.config.model_family,
self.effort,
self.summary,
);
// Request encrypted COT if we are not storing responses,
// otherwise reasoning items will be referenced by ID
let include: Vec<String> = if !store && reasoning.is_some() {
vec!["reasoning.encrypted_content".to_string()]
} else {
vec![]
};
let input_with_instructions = prompt.get_formatted_input();
let payload = ResponsesApiRequest {
model: &self.config.model,
instructions: &full_instructions,
input: &input_with_instructions,
tools: &tools_json,
tool_choice: "auto",
parallel_tool_calls: false,
reasoning,
store,
stream: true,
include,
prompt_cache_key: Some(self.session_id.to_string()),
};
let mut attempt = 0;
let max_retries = self.provider.request_max_retries();
trace!(
"POST to {}: {}",
self.provider.get_full_url(&auth),
serde_json::to_string(&payload)?
);
loop {
attempt += 1;
let mut req_builder = self
.provider
.create_request_builder(&self.client, &auth)
.await?;
req_builder = req_builder
.header("OpenAI-Beta", "responses=experimental")
.header("session_id", self.session_id.to_string())
.header(reqwest::header::ACCEPT, "text/event-stream")
.json(&payload);
if let Some(auth) = auth.as_ref()
&& auth.mode == AuthMode::ChatGPT
&& let Some(account_id) = auth.get_account_id()
{
req_builder = req_builder.header("chatgpt-account-id", account_id);
}
let originator = &self.config.responses_originator_header;
req_builder = req_builder.header("originator", originator);
req_builder = req_builder.header("User-Agent", get_codex_user_agent(Some(originator)));
let res = req_builder.send().await;
if let Ok(resp) = &res {
trace!(
"Response status: {}, request-id: {}",
resp.status(),
resp.headers()
.get("x-request-id")
.map(|v| v.to_str().unwrap_or_default())
.unwrap_or_default()
);
}
match res {
Ok(resp) if resp.status().is_success() => {
let (tx_event, rx_event) = mpsc::channel::<Result<ResponseEvent>>(1600);
// spawn task to process SSE
let stream = resp.bytes_stream().map_err(CodexErr::Reqwest);
tokio::spawn(process_sse(
stream,
tx_event,
self.provider.stream_idle_timeout(),
));
return Ok(ResponseStream { rx_event });
}
Ok(res) => {
let status = res.status();
// Pull out Retry‑After header if present.
let retry_after_secs = res
.headers()
.get(reqwest::header::RETRY_AFTER)
.and_then(|v| v.to_str().ok())
.and_then(|s| s.parse::<u64>().ok());
if status == StatusCode::UNAUTHORIZED {
if let Some(a) = auth.as_ref() {
let _ = a.refresh_token().await;
}
// Retry immediately with refreshed credentials.
continue;
}
// The OpenAI Responses endpoint returns structured JSON bodies even for 4xx/5xx
// errors. When we bubble early with only the HTTP status the caller sees an opaque
// "unexpected status 400 Bad Request" which makes debugging nearly impossible.
// Instead, read (and include) the response text so higher layers and users see the
// exact error message (e.g. "Unknown parameter: 'input[0].metadata'"). The body is
// small and this branch only runs on error paths so the extra allocation is
// negligible.
if !(status == StatusCode::TOO_MANY_REQUESTS || status.is_server_error()) {
// Surface the error body to callers. Use `unwrap_or_default` per Clippy.
let body = res.text().await.unwrap_or_default();
return Err(CodexErr::UnexpectedStatus(status, body));
}
if status == StatusCode::TOO_MANY_REQUESTS {
let body = res.json::<ErrorResponse>().await.ok();
if let Some(ErrorResponse {
error:
Error {
r#type: Some(error_type),
..
},
}) = body
{
if error_type == "usage_limit_reached" {
return Err(CodexErr::UsageLimitReached(UsageLimitReachedError {
plan_type: auth.and_then(|a| a.get_plan_type()),
}));
} else if error_type == "usage_not_included" {
return Err(CodexErr::UsageNotIncluded);
}
}
}
if attempt > max_retries {
if status == StatusCode::INTERNAL_SERVER_ERROR {
return Err(CodexErr::InternalServerError);
}
return Err(CodexErr::RetryLimit(status));
}
let delay = retry_after_secs
.map(|s| Duration::from_millis(s * 1_000))
.unwrap_or_else(|| backoff(attempt));
tokio::time::sleep(delay).await;
}
Err(e) => {
if attempt > max_retries {
return Err(e.into());
}
let delay = backoff(attempt);
tokio::time::sleep(delay).await;
}
}
}
}
pub fn get_provider(&self) -> ModelProviderInfo {
self.provider.clone()
}
/// Returns the currently configured model slug.
pub fn get_model(&self) -> String {
self.config.model.clone()
}
/// Returns the currently configured model family.
pub fn get_model_family(&self) -> ModelFamily {
self.config.model_family.clone()
}
/// Returns the current reasoning effort setting.
pub const fn get_reasoning_effort(&self) -> ReasoningEffortConfig {
self.effort
}
/// Returns the current reasoning summary setting.
pub const fn get_reasoning_summary(&self) -> ReasoningSummaryConfig {
self.summary
}
pub fn get_auth(&self) -> Option<CodexAuth> {
self.auth.clone()
}
}
#[derive(Debug, Deserialize, Serialize)]
struct SseEvent {
#[serde(rename = "type")]
kind: String,
response: Option<Value>,
item: Option<Value>,
delta: Option<String>,
}
#[derive(Debug, Deserialize)]
struct ResponseCreated {}
#[derive(Debug, Deserialize)]
struct ResponseCompleted {
id: String,
usage: Option<ResponseCompletedUsage>,
}
#[derive(Debug, Deserialize)]
struct ResponseCompletedUsage {
input_tokens: u64,
input_tokens_details: Option<ResponseCompletedInputTokensDetails>,
output_tokens: u64,
output_tokens_details: Option<ResponseCompletedOutputTokensDetails>,
total_tokens: u64,
}
impl From<ResponseCompletedUsage> for TokenUsage {
fn from(val: ResponseCompletedUsage) -> Self {
TokenUsage {
input_tokens: val.input_tokens,
cached_input_tokens: val.input_tokens_details.map(|d| d.cached_tokens),
output_tokens: val.output_tokens,
reasoning_output_tokens: val.output_tokens_details.map(|d| d.reasoning_tokens),
total_tokens: val.total_tokens,
}
}
}
#[derive(Debug, Deserialize)]
struct ResponseCompletedInputTokensDetails {
cached_tokens: u64,
}
#[derive(Debug, Deserialize)]
struct ResponseCompletedOutputTokensDetails {
reasoning_tokens: u64,
}
async fn process_sse<S>(
stream: S,
tx_event: mpsc::Sender<Result<ResponseEvent>>,
idle_timeout: Duration,
) where
S: Stream<Item = Result<Bytes>> + Unpin,
{
let mut stream = stream.eventsource();
// If the stream stays completely silent for an extended period treat it as disconnected.
// The response id returned from the "complete" message.
let mut response_completed: Option<ResponseCompleted> = None;
let mut response_error: Option<CodexErr> = None;
loop {
let sse = match timeout(idle_timeout, stream.next()).await {
Ok(Some(Ok(sse))) => sse,
Ok(Some(Err(e))) => {
debug!("SSE Error: {e:#}");
let event = CodexErr::Stream(e.to_string(), None);
let _ = tx_event.send(Err(event)).await;
return;
}
Ok(None) => {
match response_completed {
Some(ResponseCompleted {
id: response_id,
usage,
}) => {
let event = ResponseEvent::Completed {
response_id,
token_usage: usage.map(Into::into),
};
let _ = tx_event.send(Ok(event)).await;
}
None => {
let _ = tx_event
.send(Err(response_error.unwrap_or(CodexErr::Stream(
"stream closed before response.completed".into(),
None,
))))
.await;
}
}
return;
}
Err(_) => {
let _ = tx_event
.send(Err(CodexErr::Stream(
"idle timeout waiting for SSE".into(),
None,
)))
.await;
return;
}
};
trace!("SSE event: {}", sse.data);
let event: SseEvent = match serde_json::from_str(&sse.data) {
Ok(event) => event,
Err(e) => {
debug!("Failed to parse SSE event: {e}, data: {}", &sse.data);
continue;
}
};
match event.kind.as_str() {
// Individual output item finalised. Forward immediately so the
// rest of the agent can stream assistant text/functions *live*
// instead of waiting for the final `response.completed` envelope.
//
// IMPORTANT: We used to ignore these events and forward the
// duplicated `output` array embedded in the `response.completed`
// payload. That produced two concrete issues:
// 1. No real‑time streaming – the user only saw output after the
// entire turn had finished, which broke the "typing" UX and
// made long‑running turns look stalled.
// 2. Duplicate `function_call_output` items – both the
// individual *and* the completed array were forwarded, which
// confused the backend and triggered 400
// "previous_response_not_found" errors because the duplicated
// IDs did not match the incremental turn chain.
//
// The fix is to forward the incremental events *as they come* and
// drop the duplicated list inside `response.completed`.
"response.output_item.done" => {
let Some(item_val) = event.item else { continue };
let Ok(item) = serde_json::from_value::<ResponseItem>(item_val) else {
debug!("failed to parse ResponseItem from output_item.done");
continue;
};
let event = ResponseEvent::OutputItemDone(item);
if tx_event.send(Ok(event)).await.is_err() {
return;
}
}
"response.output_text.delta" => {
if let Some(delta) = event.delta {
let event = ResponseEvent::OutputTextDelta(delta);
if tx_event.send(Ok(event)).await.is_err() {
return;
}
}
}
"response.reasoning_summary_text.delta" => {
if let Some(delta) = event.delta {
let event = ResponseEvent::ReasoningSummaryDelta(delta);
if tx_event.send(Ok(event)).await.is_err() {
return;
}
}
}
"response.reasoning_text.delta" => {
if let Some(delta) = event.delta {
let event = ResponseEvent::ReasoningContentDelta(delta);
if tx_event.send(Ok(event)).await.is_err() {
return;
}
}
}
"response.created" => {
if event.response.is_some() {
let _ = tx_event.send(Ok(ResponseEvent::Created {})).await;
}
}
"response.failed" => {
if let Some(resp_val) = event.response {
response_error = Some(CodexErr::Stream(
"response.failed event received".to_string(),
None,
));
let error = resp_val.get("error");
if let Some(error) = error {
match serde_json::from_value::<Error>(error.clone()) {
Ok(error) => {
let delay = try_parse_retry_after(&error);
let message = error.message.unwrap_or_default();
response_error = Some(CodexErr::Stream(message, delay));
}
Err(e) => {
debug!("failed to parse ErrorResponse: {e}");
}
}
}
}
}
// Final response completed – includes array of output items & id
"response.completed" => {
if let Some(resp_val) = event.response {
match serde_json::from_value::<ResponseCompleted>(resp_val) {
Ok(r) => {
response_completed = Some(r);
}
Err(e) => {
debug!("failed to parse ResponseCompleted: {e}");
continue;
}
};
};
}
"response.content_part.done"
| "response.function_call_arguments.delta"
| "response.in_progress"
| "response.output_item.added"
| "response.output_text.done" => {
// Currently, we ignore this event, but we handle it
// separately to skip the logging message in the `other` case.
}
"response.reasoning_summary_part.added" => {
// Boundary between reasoning summary sections (e.g., titles).
let event = ResponseEvent::ReasoningSummaryPartAdded;
if tx_event.send(Ok(event)).await.is_err() {
return;
}
}
"response.reasoning_summary_text.done" => {}
other => debug!(other, "sse event"),
}
}
}
/// used in tests to stream from a text SSE file
async fn stream_from_fixture(
path: impl AsRef<Path>,
provider: ModelProviderInfo,
) -> Result<ResponseStream> {
let (tx_event, rx_event) = mpsc::channel::<Result<ResponseEvent>>(1600);
let f = std::fs::File::open(path.as_ref())?;
let lines = std::io::BufReader::new(f).lines();
// insert \n\n after each line for proper SSE parsing
let mut content = String::new();
for line in lines {
content.push_str(&line?);
content.push_str("\n\n");
}
let rdr = std::io::Cursor::new(content);
let stream = ReaderStream::new(rdr).map_err(CodexErr::Io);
tokio::spawn(process_sse(
stream,
tx_event,
provider.stream_idle_timeout(),
));
Ok(ResponseStream { rx_event })
}
fn rate_limit_regex() -> &'static Regex {
static RE: OnceLock<Regex> = OnceLock::new();
#[expect(clippy::unwrap_used)]
RE.get_or_init(|| Regex::new(r"Please try again in (\d+(?:\.\d+)?)(s|ms)").unwrap())
}
fn try_parse_retry_after(err: &Error) -> Option<Duration> {
if err.code != Some("rate_limit_exceeded".to_string()) {
return None;
}
// parse the Please try again in 1.898s format using regex
let re = rate_limit_regex();
if let Some(message) = &err.message
&& let Some(captures) = re.captures(message)
{
let seconds = captures.get(1);
let unit = captures.get(2);
if let (Some(value), Some(unit)) = (seconds, unit) {
let value = value.as_str().parse::<f64>().ok()?;
let unit = unit.as_str();
if unit == "s" {
return Some(Duration::from_secs_f64(value));
} else if unit == "ms" {
return Some(Duration::from_millis(value as u64));
}
}
}
None
}
#[cfg(test)]
mod tests {
use super::*;
use serde_json::json;
use tokio::sync::mpsc;
use tokio_test::io::Builder as IoBuilder;
use tokio_util::io::ReaderStream;
// ────────────────────────────
// Helpers
// ────────────────────────────
/// Runs the SSE parser on pre-chunked byte slices and returns every event
/// (including any final `Err` from a stream-closure check).
async fn collect_events(
chunks: &[&[u8]],
provider: ModelProviderInfo,
) -> Vec<Result<ResponseEvent>> {
let mut builder = IoBuilder::new();
for chunk in chunks {
builder.read(chunk);
}
let reader = builder.build();
let stream = ReaderStream::new(reader).map_err(CodexErr::Io);
let (tx, mut rx) = mpsc::channel::<Result<ResponseEvent>>(16);
tokio::spawn(process_sse(stream, tx, provider.stream_idle_timeout()));
let mut events = Vec::new();
while let Some(ev) = rx.recv().await {
events.push(ev);
}
events
}
/// Builds an in-memory SSE stream from JSON fixtures and returns only the
/// successfully parsed events (panics on internal channel errors).
async fn run_sse(
events: Vec<serde_json::Value>,
provider: ModelProviderInfo,
) -> Vec<ResponseEvent> {
let mut body = String::new();
for e in events {
let kind = e
.get("type")
.and_then(|v| v.as_str())
.expect("fixture event missing type");
if e.as_object().map(|o| o.len() == 1).unwrap_or(false) {
body.push_str(&format!("event: {kind}\n\n"));
} else {
body.push_str(&format!("event: {kind}\ndata: {e}\n\n"));
}
}
let (tx, mut rx) = mpsc::channel::<Result<ResponseEvent>>(8);
let stream = ReaderStream::new(std::io::Cursor::new(body)).map_err(CodexErr::Io);
tokio::spawn(process_sse(stream, tx, provider.stream_idle_timeout()));
let mut out = Vec::new();
while let Some(ev) = rx.recv().await {
out.push(ev.expect("channel closed"));
}
out
}
// ────────────────────────────
// Tests from `implement-test-for-responses-api-sse-parser`
// ────────────────────────────
#[tokio::test]
async fn parses_items_and_completed() {
let item1 = json!({
"type": "response.output_item.done",
"item": {
"type": "message",
"role": "assistant",
"content": [{"type": "output_text", "text": "Hello"}]
}
})
.to_string();
let item2 = json!({
"type": "response.output_item.done",
"item": {
"type": "message",
"role": "assistant",
"content": [{"type": "output_text", "text": "World"}]
}
})
.to_string();
let completed = json!({
"type": "response.completed",
"response": { "id": "resp1" }
})
.to_string();
let sse1 = format!("event: response.output_item.done\ndata: {item1}\n\n");
let sse2 = format!("event: response.output_item.done\ndata: {item2}\n\n");
let sse3 = format!("event: response.completed\ndata: {completed}\n\n");
let provider = ModelProviderInfo {
name: "test".to_string(),
base_url: Some("https://test.com".to_string()),
env_key: Some("TEST_API_KEY".to_string()),
env_key_instructions: None,
wire_api: WireApi::Responses,
query_params: None,
http_headers: None,
env_http_headers: None,
request_max_retries: Some(0),
stream_max_retries: Some(0),
stream_idle_timeout_ms: Some(1000),
requires_openai_auth: false,
};
let events = collect_events(
&[sse1.as_bytes(), sse2.as_bytes(), sse3.as_bytes()],
provider,
)
.await;
assert_eq!(events.len(), 3);
matches!(
&events[0],
Ok(ResponseEvent::OutputItemDone(ResponseItem::Message { role, .. }))
if role == "assistant"
);
matches!(
&events[1],
Ok(ResponseEvent::OutputItemDone(ResponseItem::Message { role, .. }))
if role == "assistant"
);
match &events[2] {
Ok(ResponseEvent::Completed {
response_id,
token_usage,
}) => {
assert_eq!(response_id, "resp1");
assert!(token_usage.is_none());
}
other => panic!("unexpected third event: {other:?}"),
}
}
#[tokio::test]
async fn error_when_missing_completed() {
let item1 = json!({
"type": "response.output_item.done",
"item": {
"type": "message",
"role": "assistant",
"content": [{"type": "output_text", "text": "Hello"}]
}
})
.to_string();
let sse1 = format!("event: response.output_item.done\ndata: {item1}\n\n");
let provider = ModelProviderInfo {
name: "test".to_string(),
base_url: Some("https://test.com".to_string()),
env_key: Some("TEST_API_KEY".to_string()),
env_key_instructions: None,
wire_api: WireApi::Responses,
query_params: None,
http_headers: None,
env_http_headers: None,
request_max_retries: Some(0),
stream_max_retries: Some(0),
stream_idle_timeout_ms: Some(1000),
requires_openai_auth: false,
};
let events = collect_events(&[sse1.as_bytes()], provider).await;
assert_eq!(events.len(), 2);
matches!(events[0], Ok(ResponseEvent::OutputItemDone(_)));
match &events[1] {
Err(CodexErr::Stream(msg, _)) => {
assert_eq!(msg, "stream closed before response.completed")
}
other => panic!("unexpected second event: {other:?}"),
}
}
#[tokio::test]
async fn error_when_error_event() {
let raw_error = r#"{"type":"response.failed","sequence_number":3,"response":{"id":"resp_689bcf18d7f08194bf3440ba62fe05d803fee0cdac429894","object":"response","created_at":1755041560,"status":"failed","background":false,"error":{"code":"rate_limit_exceeded","message":"Rate limit reached for gpt-5 in organization org-AAA on tokens per min (TPM): Limit 30000, Used 22999, Requested 12528. Please try again in 11.054s. Visit https://platform.openai.com/account/rate-limits to learn more."}, "usage":null,"user":null,"metadata":{}}}"#;
let sse1 = format!("event: response.failed\ndata: {raw_error}\n\n");
let provider = ModelProviderInfo {
name: "test".to_string(),
base_url: Some("https://test.com".to_string()),
env_key: Some("TEST_API_KEY".to_string()),
env_key_instructions: None,
wire_api: WireApi::Responses,
query_params: None,
http_headers: None,
env_http_headers: None,
request_max_retries: Some(0),
stream_max_retries: Some(0),
stream_idle_timeout_ms: Some(1000),
requires_openai_auth: false,
};
let events = collect_events(&[sse1.as_bytes()], provider).await;
assert_eq!(events.len(), 1);
match &events[0] {
Err(CodexErr::Stream(msg, delay)) => {
assert_eq!(
msg,
"Rate limit reached for gpt-5 in organization org-AAA on tokens per min (TPM): Limit 30000, Used 22999, Requested 12528. Please try again in 11.054s. Visit https://platform.openai.com/account/rate-limits to learn more."
);
assert_eq!(*delay, Some(Duration::from_secs_f64(11.054)));
}
other => panic!("unexpected second event: {other:?}"),
}
}
// ────────────────────────────
// Table-driven test from `main`
// ────────────────────────────
/// Verifies that the adapter produces the right `ResponseEvent` for a
/// variety of incoming `type` values.
#[tokio::test]
async fn table_driven_event_kinds() {
struct TestCase {
name: &'static str,
event: serde_json::Value,
expect_first: fn(&ResponseEvent) -> bool,
expected_len: usize,
}
fn is_created(ev: &ResponseEvent) -> bool {
matches!(ev, ResponseEvent::Created)
}
fn is_output(ev: &ResponseEvent) -> bool {
matches!(ev, ResponseEvent::OutputItemDone(_))
}
fn is_completed(ev: &ResponseEvent) -> bool {
matches!(ev, ResponseEvent::Completed { .. })
}
let completed = json!({
"type": "response.completed",
"response": {
"id": "c",
"usage": {
"input_tokens": 0,
"input_tokens_details": null,
"output_tokens": 0,
"output_tokens_details": null,
"total_tokens": 0
},
"output": []
}
});
let cases = vec![
TestCase {
name: "created",
event: json!({"type": "response.created", "response": {}}),
expect_first: is_created,
expected_len: 2,
},
TestCase {
name: "output_item.done",
event: json!({
"type": "response.output_item.done",
"item": {
"type": "message",
"role": "assistant",
"content": [
{"type": "output_text", "text": "hi"}
]
}
}),
expect_first: is_output,
expected_len: 2,
},
TestCase {
name: "unknown",
event: json!({"type": "response.new_tool_event"}),
expect_first: is_completed,
expected_len: 1,
},
];
for case in cases {
let mut evs = vec![case.event];
evs.push(completed.clone());
let provider = ModelProviderInfo {
name: "test".to_string(),
base_url: Some("https://test.com".to_string()),
env_key: Some("TEST_API_KEY".to_string()),
env_key_instructions: None,
wire_api: WireApi::Responses,
query_params: None,
http_headers: None,
env_http_headers: None,
request_max_retries: Some(0),
stream_max_retries: Some(0),
stream_idle_timeout_ms: Some(1000),
requires_openai_auth: false,
};
let out = run_sse(evs, provider).await;
assert_eq!(out.len(), case.expected_len, "case {}", case.name);
assert!(
(case.expect_first)(&out[0]),
"first event mismatch in case {}",
case.name
);
}
}
#[test]
fn test_try_parse_retry_after() {
let err = Error {
r#type: None,
message: Some("Rate limit reached for gpt-5 in organization org- on tokens per min (TPM): Limit 1, Used 1, Requested 19304. Please try again in 28ms. Visit https://platform.openai.com/account/rate-limits to learn more.".to_string()),
code: Some("rate_limit_exceeded".to_string()),
};
let delay = try_parse_retry_after(&err);
assert_eq!(delay, Some(Duration::from_millis(28)));
}
#[test]
fn test_try_parse_retry_after_no_delay() {
let err = Error {
r#type: None,
message: Some("Rate limit reached for gpt-5 in organization <ORG> on tokens per min (TPM): Limit 30000, Used 6899, Requested 24050. Please try again in 1.898s. Visit https://platform.openai.com/account/rate-limits to learn more.".to_string()),
code: Some("rate_limit_exceeded".to_string()),
};
let delay = try_parse_retry_after(&err);
assert_eq!(delay, Some(Duration::from_secs_f64(1.898)));
}
}