mirror of
https://github.com/fawney19/Aether.git
synced 2026-09-02 09:20:22 +08:00
Merge remote-tracking branch 'origin/pr/536'
# Conflicts: # apps/aether-gateway/src/execution_runtime/stream/execution.rs
This commit is contained in:
@@ -1180,6 +1180,23 @@ impl OpenAIResponsesProviderState {
|
||||
}
|
||||
}
|
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}
|
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event_type if openai_stream_payload_is_terminal_error(&value) => {
|
||||
self.finished = true;
|
||||
let mut payload = value.clone();
|
||||
if event_type != "response.failed"
|
||||
&& event_type != "response.incomplete"
|
||||
&& event_type != "error"
|
||||
{
|
||||
payload = openai_stream_terminal_error_body(&value).unwrap_or(payload);
|
||||
if let Some(object) = payload.as_object_mut() {
|
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object.insert(
|
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"type".to_string(),
|
||||
Value::String("response.failed".to_string()),
|
||||
);
|
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}
|
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}
|
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out.push(self.unknown_frame(report_context, payload));
|
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}
|
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"response.completed" => {
|
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let Some(response) = value.get("response").and_then(Value::as_object) else {
|
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return Ok(out);
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@@ -1291,6 +1308,8 @@ pub struct OpenAIChatClientEmitter {
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model: Option<String>,
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started: bool,
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finished: bool,
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next_tool_call_index: usize,
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tool_call_index_by_canonical: BTreeMap<usize, usize>,
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}
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|
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#[derive(Clone, Default)]
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@@ -1375,6 +1394,17 @@ impl OpenAIChatClientEmitter {
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)
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}
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fn chat_tool_call_index(&mut self, canonical_index: usize) -> usize {
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if let Some(index) = self.tool_call_index_by_canonical.get(&canonical_index) {
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return *index;
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}
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let index = self.next_tool_call_index;
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self.next_tool_call_index += 1;
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self.tool_call_index_by_canonical
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.insert(canonical_index, index);
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index
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}
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pub fn emit(&mut self, frame: CanonicalStreamFrame) -> Result<Vec<u8>, AiSurfaceFinalizeError> {
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self.update_identity(&frame);
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match frame.event {
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@@ -1483,6 +1513,7 @@ impl OpenAIChatClientEmitter {
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||||
name,
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||||
} => {
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let mut out = self.ensure_started()?;
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let chat_index = self.chat_tool_call_index(index);
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out.extend(encode_json_sse(
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None,
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&build_openai_chat_chunk(
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@@ -1492,7 +1523,7 @@ impl OpenAIChatClientEmitter {
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self.model.as_deref().unwrap_or("unknown"),
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String::new(),
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Some(vec![json!({
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"index": index,
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"index": chat_index,
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"id": call_id,
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"type": "function",
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"function": {
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@@ -1507,6 +1538,7 @@ impl OpenAIChatClientEmitter {
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||||
}
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CanonicalStreamEvent::ToolCallArgumentsDelta { index, arguments } => {
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let mut out = self.ensure_started()?;
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let chat_index = self.chat_tool_call_index(index);
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out.extend(encode_json_sse(
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None,
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&json!({
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@@ -1519,7 +1551,7 @@ impl OpenAIChatClientEmitter {
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"index": 0,
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"delta": {
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"tool_calls": [{
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"index": index,
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"index": chat_index,
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"function": {
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"arguments": arguments,
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}
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@@ -1562,6 +1594,13 @@ impl OpenAIChatClientEmitter {
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||||
)?);
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Ok(out)
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||||
}
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CanonicalStreamEvent::UnknownEvent(payload)
|
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if openai_stream_terminal_error_body(&payload).is_some() =>
|
||||
{
|
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self.finished = true;
|
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let error_body = openai_stream_terminal_error_body(&payload).unwrap_or(payload);
|
||||
encode_json_sse(None, &error_body)
|
||||
}
|
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CanonicalStreamEvent::UnknownEvent(_) => Ok(Vec::new()),
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CanonicalStreamEvent::Finish {
|
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finish_reason,
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@@ -2508,6 +2547,29 @@ impl OpenAIResponsesClientEmitter {
|
||||
}
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Ok(out)
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}
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CanonicalStreamEvent::UnknownEvent(payload)
|
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if openai_stream_terminal_error_body(&payload).is_some() =>
|
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{
|
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self.finished = true;
|
||||
let raw_event = payload.get("type").and_then(Value::as_str);
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let event = raw_event
|
||||
.filter(|event| {
|
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matches!(*event, "response.failed" | "response.incomplete" | "error")
|
||||
})
|
||||
.unwrap_or("response.failed")
|
||||
.to_string();
|
||||
let mut payload = if raw_event == Some(event.as_str()) {
|
||||
payload
|
||||
} else {
|
||||
openai_stream_terminal_error_body(&payload).unwrap_or(payload)
|
||||
};
|
||||
if payload.get("type").is_none() {
|
||||
if let Some(object) = payload.as_object_mut() {
|
||||
object.insert("type".to_string(), Value::String(event.clone()));
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||||
}
|
||||
}
|
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self.encode_response_event(event.as_str(), payload)
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||||
}
|
||||
CanonicalStreamEvent::UnknownEvent(_) => Ok(Vec::new()),
|
||||
CanonicalStreamEvent::Finish { usage, .. } => {
|
||||
if self.finished {
|
||||
@@ -2655,6 +2717,27 @@ mod tests {
|
||||
parts
|
||||
}
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||||
|
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fn openai_chat_tool_call_indices(sse: &str) -> Vec<u64> {
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||||
let mut indices = Vec::new();
|
||||
for payload in sse.lines().filter_map(|line| line.strip_prefix("data: ")) {
|
||||
let Ok(value) = serde_json::from_str::<Value>(payload) else {
|
||||
continue;
|
||||
};
|
||||
let Some(tool_calls) = value
|
||||
.pointer("/choices/0/delta/tool_calls")
|
||||
.and_then(Value::as_array)
|
||||
else {
|
||||
continue;
|
||||
};
|
||||
for tool_call in tool_calls {
|
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if let Some(index) = tool_call.get("index").and_then(Value::as_u64) {
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||||
indices.push(index);
|
||||
}
|
||||
}
|
||||
}
|
||||
indices
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||||
}
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||||
|
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#[test]
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fn openai_chat_provider_state_emits_unknown_events_for_unrecognized_deltas() {
|
||||
let mut state = OpenAIChatProviderState::default();
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||||
@@ -2713,6 +2796,40 @@ mod tests {
|
||||
)));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn openai_responses_provider_state_treats_failed_event_as_terminal() {
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let mut state = OpenAIResponsesProviderState::default();
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||||
let report_context = json!({});
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||||
let frames = state
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||||
.push_line(
|
||||
&report_context,
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||||
data_line(json!({
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||||
"type": "response.failed",
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||||
"response": {
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||||
"id": "resp_failed_123",
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||||
"model": "gpt-5.4",
|
||||
"status": "failed",
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||||
"error": {
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||||
"message": "policy failure",
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||||
"type": "invalid_request_error",
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||||
"code": "cyber_policy"
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||||
}
|
||||
}
|
||||
})),
|
||||
)
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||||
.expect("failed response event should parse");
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||||
|
||||
assert!(frames.iter().any(|frame| matches!(
|
||||
frame.event,
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||||
CanonicalStreamEvent::UnknownEvent(ref payload)
|
||||
if payload.get("type").and_then(Value::as_str) == Some("response.failed")
|
||||
)));
|
||||
assert!(state
|
||||
.finish(&report_context)
|
||||
.expect("terminal failure should not synthesize completion")
|
||||
.is_empty());
|
||||
}
|
||||
|
||||
#[test]
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||||
fn openai_usage_derives_missing_input_tokens_from_total() {
|
||||
let usage = canonical_usage_from_openai_usage(Some(&json!({
|
||||
@@ -2879,6 +2996,41 @@ mod tests {
|
||||
assert_eq!(response_sequence_numbers(&sse), (1..=9).collect::<Vec<_>>());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn openai_responses_client_emitter_forwards_failed_unknown_event() {
|
||||
let mut emitter = OpenAIResponsesClientEmitter::default();
|
||||
let bytes = emitter
|
||||
.emit(CanonicalStreamFrame {
|
||||
id: "resp_failed_123".to_string(),
|
||||
model: "gpt-5.4".to_string(),
|
||||
event: CanonicalStreamEvent::UnknownEvent(json!({
|
||||
"type": "response.failed",
|
||||
"response": {
|
||||
"id": "resp_failed_123",
|
||||
"model": "gpt-5.4",
|
||||
"status": "failed",
|
||||
"error": {
|
||||
"message": "policy failure",
|
||||
"type": "invalid_request_error",
|
||||
"code": "cyber_policy"
|
||||
}
|
||||
}
|
||||
})),
|
||||
})
|
||||
.expect("failed response event should encode");
|
||||
let mut all = bytes;
|
||||
all.extend(
|
||||
emitter
|
||||
.finish()
|
||||
.expect("failed stream should not synthesize completion"),
|
||||
);
|
||||
|
||||
let sse = String::from_utf8(all).expect("sse should be utf8");
|
||||
assert!(sse.contains("event: response.failed\n"));
|
||||
assert!(sse.contains("\"message\":\"policy failure\""));
|
||||
assert!(!sse.contains("event: response.completed\n"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn openai_responses_client_emitter_keeps_text_item_id_stable_after_text_started() {
|
||||
let mut emitter = OpenAIResponsesClientEmitter::default();
|
||||
@@ -3367,6 +3519,50 @@ mod tests {
|
||||
assert!(sse.contains("[Image]"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn openai_chat_client_emitter_normalizes_sparse_tool_call_indices() {
|
||||
let mut emitter = OpenAIChatClientEmitter::default();
|
||||
let mut bytes = Vec::new();
|
||||
|
||||
for event in [
|
||||
CanonicalStreamEvent::ToolCallStart {
|
||||
index: 1,
|
||||
call_id: "call_first".to_string(),
|
||||
name: "first_tool".to_string(),
|
||||
},
|
||||
CanonicalStreamEvent::ToolCallArgumentsDelta {
|
||||
index: 1,
|
||||
arguments: "{\"first\":".to_string(),
|
||||
},
|
||||
CanonicalStreamEvent::ToolCallStart {
|
||||
index: 3,
|
||||
call_id: "call_second".to_string(),
|
||||
name: "second_tool".to_string(),
|
||||
},
|
||||
CanonicalStreamEvent::ToolCallArgumentsDelta {
|
||||
index: 3,
|
||||
arguments: "{\"second\":true}".to_string(),
|
||||
},
|
||||
CanonicalStreamEvent::ToolCallArgumentsDelta {
|
||||
index: 1,
|
||||
arguments: "true}".to_string(),
|
||||
},
|
||||
] {
|
||||
bytes.extend(
|
||||
emitter
|
||||
.emit(CanonicalStreamFrame {
|
||||
id: "chatcmpl_sparse".to_string(),
|
||||
model: "claude-opus-4-6".to_string(),
|
||||
event,
|
||||
})
|
||||
.expect("tool event should encode"),
|
||||
);
|
||||
}
|
||||
|
||||
let sse = String::from_utf8(bytes).expect("sse should be utf8");
|
||||
assert_eq!(openai_chat_tool_call_indices(&sse), vec![0, 0, 1, 1, 0]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn openai_chat_client_emitter_emits_usage_only_final_chunk() {
|
||||
let mut emitter = OpenAIChatClientEmitter::default();
|
||||
|
||||
@@ -165,14 +165,25 @@ fn inject_codex_default_variation_prompt(body_object: &mut serde_json::Map<Strin
|
||||
);
|
||||
}
|
||||
|
||||
fn build_stable_codex_prompt_cache_key(user_api_key_id: &str) -> Option<String> {
|
||||
let normalized = user_api_key_id.trim();
|
||||
fn build_stable_codex_prompt_cache_key_from_seed(kind: &str, seed: &str) -> Option<String> {
|
||||
let normalized = seed.trim();
|
||||
if normalized.is_empty() {
|
||||
return None;
|
||||
}
|
||||
|
||||
let normalized_kind = kind
|
||||
.trim()
|
||||
.to_ascii_lowercase()
|
||||
.chars()
|
||||
.filter(|ch| ch.is_ascii_alphanumeric() || *ch == '_' || *ch == '-')
|
||||
.collect::<String>();
|
||||
let normalized_kind = if normalized_kind.is_empty() {
|
||||
"seed".to_string()
|
||||
} else {
|
||||
normalized_kind
|
||||
};
|
||||
let namespace = format!(
|
||||
"aether:codex:prompt-cache:{CODEX_PROMPT_CACHE_NAMESPACE_VERSION}:user:{normalized}"
|
||||
"aether:codex:prompt-cache:{CODEX_PROMPT_CACHE_NAMESPACE_VERSION}:{normalized_kind}:{normalized}"
|
||||
);
|
||||
let mut hasher = Sha1::new();
|
||||
hasher.update(UUID_NAMESPACE_OID_BYTES);
|
||||
@@ -186,6 +197,266 @@ fn build_stable_codex_prompt_cache_key(user_api_key_id: &str) -> Option<String>
|
||||
Some(Uuid::from_bytes(bytes).to_string())
|
||||
}
|
||||
|
||||
fn build_stable_codex_prompt_cache_key(user_api_key_id: &str) -> Option<String> {
|
||||
build_stable_codex_prompt_cache_key_from_seed("user", user_api_key_id)
|
||||
}
|
||||
|
||||
fn extract_codex_prompt_cache_session_seed(provider_request_body: &Value) -> Option<String> {
|
||||
fn non_empty_str(value: Option<&Value>) -> Option<&str> {
|
||||
value
|
||||
.and_then(Value::as_str)
|
||||
.map(str::trim)
|
||||
.filter(|value| !value.is_empty())
|
||||
}
|
||||
|
||||
fn session_seed_from_metadata(metadata: &Value) -> Option<String> {
|
||||
let object = metadata.as_object()?;
|
||||
non_empty_str(object.get("session_id"))
|
||||
.or_else(|| non_empty_str(object.get("sessionId")))
|
||||
.or_else(|| non_empty_str(object.get("conversation_id")))
|
||||
.or_else(|| non_empty_str(object.get("conversationId")))
|
||||
.map(|value| format!("metadata:{value}"))
|
||||
.or_else(|| {
|
||||
let user_id = non_empty_str(object.get("user_id"))?;
|
||||
serde_json::from_str::<Value>(user_id)
|
||||
.ok()
|
||||
.and_then(|decoded| {
|
||||
non_empty_str(decoded.get("session_id"))
|
||||
.or_else(|| non_empty_str(decoded.get("sessionId")))
|
||||
.or_else(|| non_empty_str(decoded.get("conversation_id")))
|
||||
.or_else(|| non_empty_str(decoded.get("conversationId")))
|
||||
.map(|value| format!("metadata.user_id:{value}"))
|
||||
})
|
||||
})
|
||||
}
|
||||
|
||||
let object = provider_request_body.as_object()?;
|
||||
non_empty_str(object.get("session_id"))
|
||||
.or_else(|| non_empty_str(object.get("sessionId")))
|
||||
.or_else(|| non_empty_str(object.get("conversation_id")))
|
||||
.or_else(|| non_empty_str(object.get("conversationId")))
|
||||
.map(|value| format!("body:{value}"))
|
||||
.or_else(|| object.get("metadata").and_then(session_seed_from_metadata))
|
||||
}
|
||||
|
||||
fn sha256_hex(input: &[u8]) -> String {
|
||||
let digest = Sha256::digest(input);
|
||||
let mut output = String::with_capacity(digest.len() * 2);
|
||||
for byte in digest {
|
||||
let _ = write!(&mut output, "{byte:02x}");
|
||||
}
|
||||
output
|
||||
}
|
||||
|
||||
fn stable_json_digest(value: &Value) -> Option<String> {
|
||||
serde_json::to_vec(value)
|
||||
.ok()
|
||||
.map(|serialized| sha256_hex(&serialized))
|
||||
}
|
||||
|
||||
fn compact_prompt_cache_text(value: &str) -> Option<Value> {
|
||||
const MAX_PROMPT_CACHE_TEXT_CHARS: usize = 4096;
|
||||
let normalized = value.trim();
|
||||
if normalized.is_empty() {
|
||||
return None;
|
||||
}
|
||||
let mut text = normalized
|
||||
.chars()
|
||||
.take(MAX_PROMPT_CACHE_TEXT_CHARS)
|
||||
.collect::<String>();
|
||||
if normalized.chars().count() > MAX_PROMPT_CACHE_TEXT_CHARS {
|
||||
text.push_str("...");
|
||||
}
|
||||
Some(Value::String(text))
|
||||
}
|
||||
|
||||
fn compact_prompt_cache_anchor(value: &Value) -> Value {
|
||||
match value {
|
||||
Value::String(text) => compact_prompt_cache_text(text).unwrap_or(Value::Null),
|
||||
Value::Array(items) => Value::Array(
|
||||
items
|
||||
.iter()
|
||||
.take(16)
|
||||
.map(compact_prompt_cache_anchor)
|
||||
.filter(|value| !value.is_null())
|
||||
.collect(),
|
||||
),
|
||||
Value::Object(object) => {
|
||||
let mut compacted = serde_json::Map::new();
|
||||
for key in [
|
||||
"type",
|
||||
"role",
|
||||
"id",
|
||||
"name",
|
||||
"description",
|
||||
"text",
|
||||
"input_text",
|
||||
"output_text",
|
||||
"content",
|
||||
"call_id",
|
||||
"arguments",
|
||||
"output",
|
||||
"parameters",
|
||||
"strict",
|
||||
"function",
|
||||
"effort",
|
||||
"summary",
|
||||
] {
|
||||
let Some(value) = object.get(key) else {
|
||||
continue;
|
||||
};
|
||||
let value = compact_prompt_cache_anchor(value);
|
||||
if !value.is_null() {
|
||||
compacted.insert(key.to_string(), value);
|
||||
}
|
||||
}
|
||||
Value::Object(compacted)
|
||||
}
|
||||
Value::Null | Value::Bool(_) | Value::Number(_) => value.clone(),
|
||||
}
|
||||
}
|
||||
|
||||
fn compact_prompt_cache_json_anchor(value: &Value) -> Value {
|
||||
match value {
|
||||
Value::String(text) => compact_prompt_cache_text(text).unwrap_or(Value::Null),
|
||||
Value::Array(items) => Value::Array(
|
||||
items
|
||||
.iter()
|
||||
.take(16)
|
||||
.map(compact_prompt_cache_json_anchor)
|
||||
.filter(|value| !value.is_null())
|
||||
.collect(),
|
||||
),
|
||||
Value::Object(object) => {
|
||||
let mut compacted = serde_json::Map::new();
|
||||
let mut keys = object.keys().collect::<Vec<_>>();
|
||||
keys.sort();
|
||||
for key in keys {
|
||||
if key == "cache_control" {
|
||||
continue;
|
||||
}
|
||||
let Some(value) = object.get(key) else {
|
||||
continue;
|
||||
};
|
||||
let value = compact_prompt_cache_json_anchor(value);
|
||||
if !value.is_null() {
|
||||
compacted.insert(key.clone(), value);
|
||||
}
|
||||
}
|
||||
Value::Object(compacted)
|
||||
}
|
||||
Value::Null | Value::Bool(_) | Value::Number(_) => value.clone(),
|
||||
}
|
||||
}
|
||||
|
||||
fn collect_codex_prompt_cache_control_anchors(value: &Value, anchors: &mut Vec<Value>) {
|
||||
const MAX_PROMPT_CACHE_CONTROL_ANCHORS: usize = 16;
|
||||
if anchors.len() >= MAX_PROMPT_CACHE_CONTROL_ANCHORS {
|
||||
return;
|
||||
}
|
||||
|
||||
match value {
|
||||
Value::Object(object) => {
|
||||
if object.contains_key("cache_control") {
|
||||
let mut anchor = object.clone();
|
||||
anchor.remove("cache_control");
|
||||
let anchor = compact_prompt_cache_anchor(&Value::Object(anchor));
|
||||
if !anchor.is_null() {
|
||||
anchors.push(anchor);
|
||||
}
|
||||
}
|
||||
for child in object.values() {
|
||||
if anchors.len() >= MAX_PROMPT_CACHE_CONTROL_ANCHORS {
|
||||
break;
|
||||
}
|
||||
collect_codex_prompt_cache_control_anchors(child, anchors);
|
||||
}
|
||||
}
|
||||
Value::Array(items) => {
|
||||
for child in items {
|
||||
if anchors.len() >= MAX_PROMPT_CACHE_CONTROL_ANCHORS {
|
||||
break;
|
||||
}
|
||||
collect_codex_prompt_cache_control_anchors(child, anchors);
|
||||
}
|
||||
}
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
|
||||
fn extract_codex_prompt_cache_control_seed(provider_request_body: &Value) -> Option<String> {
|
||||
let mut anchors = Vec::new();
|
||||
collect_codex_prompt_cache_control_anchors(provider_request_body, &mut anchors);
|
||||
if anchors.is_empty() {
|
||||
return None;
|
||||
}
|
||||
|
||||
let seed = json!({
|
||||
"model": provider_request_body.get("model"),
|
||||
"anchors": anchors,
|
||||
});
|
||||
stable_json_digest(&seed).map(|digest| format!("cache_control:{digest}"))
|
||||
}
|
||||
|
||||
fn first_responses_input_anchor(input: &Value) -> Option<Value> {
|
||||
let items = input.as_array()?;
|
||||
let first_user_message = items.iter().find(|item| {
|
||||
item.get("type")
|
||||
.and_then(Value::as_str)
|
||||
.is_some_and(|value| value == "message")
|
||||
&& item
|
||||
.get("role")
|
||||
.and_then(Value::as_str)
|
||||
.is_some_and(|value| value == "user")
|
||||
});
|
||||
let first_item = first_user_message.or_else(|| items.first())?;
|
||||
let anchor = compact_prompt_cache_anchor(first_item);
|
||||
(!anchor.is_null()).then_some(anchor)
|
||||
}
|
||||
|
||||
fn extract_codex_stable_request_prompt_cache_seed(
|
||||
provider_request_body: &Value,
|
||||
user_api_key_id: Option<&str>,
|
||||
) -> Option<String> {
|
||||
let object = provider_request_body.as_object()?;
|
||||
let mut seed = serde_json::Map::new();
|
||||
|
||||
for key in [
|
||||
"model",
|
||||
"instructions",
|
||||
"reasoning",
|
||||
"tools",
|
||||
"tool_choice",
|
||||
"parallel_tool_calls",
|
||||
] {
|
||||
if let Some(value) = object.get(key).filter(|value| !value.is_null()) {
|
||||
let value = if key == "tools" {
|
||||
compact_prompt_cache_json_anchor(value)
|
||||
} else {
|
||||
compact_prompt_cache_anchor(value)
|
||||
};
|
||||
seed.insert(key.to_string(), value);
|
||||
}
|
||||
}
|
||||
if let Some(input_anchor) = object.get("input").and_then(first_responses_input_anchor) {
|
||||
seed.insert("first_input".to_string(), input_anchor);
|
||||
}
|
||||
if let Some(user_api_key_id) = user_api_key_id
|
||||
.map(str::trim)
|
||||
.filter(|value| !value.is_empty())
|
||||
{
|
||||
seed.insert(
|
||||
"api_key_id".to_string(),
|
||||
Value::String(user_api_key_id.to_string()),
|
||||
);
|
||||
}
|
||||
|
||||
if seed.len() < 2 {
|
||||
return None;
|
||||
}
|
||||
stable_json_digest(&Value::Object(seed)).map(|digest| format!("stable_request:{digest}"))
|
||||
}
|
||||
|
||||
fn build_short_codex_header_id(seed: &str) -> Option<String> {
|
||||
let normalized = seed.trim();
|
||||
if normalized.is_empty() {
|
||||
@@ -261,31 +532,47 @@ fn maybe_insert_default_codex_header(
|
||||
provider_request_headers.insert(header_name.to_string(), header_value.to_string());
|
||||
}
|
||||
|
||||
fn maybe_inject_codex_prompt_cache_key(
|
||||
provider_request_body: &mut Value,
|
||||
fn codex_prompt_cache_key_to_insert(
|
||||
provider_request_body: &Value,
|
||||
provider_type: &str,
|
||||
provider_api_format: &str,
|
||||
user_api_key_id: Option<&str>,
|
||||
) {
|
||||
) -> Option<String> {
|
||||
if !is_codex_openai_responses_request(provider_type, provider_api_format) {
|
||||
return;
|
||||
return None;
|
||||
}
|
||||
|
||||
let Some(body_object) = provider_request_body.as_object_mut() else {
|
||||
return;
|
||||
};
|
||||
|
||||
let existing = body_object
|
||||
let existing = provider_request_body
|
||||
.get("prompt_cache_key")
|
||||
.and_then(Value::as_str)
|
||||
.map(str::trim)
|
||||
.unwrap_or_default();
|
||||
if !existing.is_empty() {
|
||||
return;
|
||||
return None;
|
||||
}
|
||||
|
||||
let Some(prompt_cache_key) = user_api_key_id.and_then(build_stable_codex_prompt_cache_key)
|
||||
else {
|
||||
extract_codex_prompt_cache_session_seed(provider_request_body)
|
||||
.and_then(|seed| build_stable_codex_prompt_cache_key_from_seed("session", &seed))
|
||||
.or_else(|| {
|
||||
extract_codex_prompt_cache_control_seed(provider_request_body)
|
||||
.and_then(|seed| build_stable_codex_prompt_cache_key_from_seed("anchor", &seed))
|
||||
})
|
||||
.or_else(|| {
|
||||
extract_codex_stable_request_prompt_cache_seed(provider_request_body, user_api_key_id)
|
||||
.and_then(|seed| build_stable_codex_prompt_cache_key_from_seed("request", &seed))
|
||||
})
|
||||
.or_else(|| user_api_key_id.and_then(build_stable_codex_prompt_cache_key))
|
||||
}
|
||||
|
||||
fn insert_codex_prompt_cache_key(
|
||||
provider_request_body: &mut Value,
|
||||
prompt_cache_key: Option<String>,
|
||||
) {
|
||||
let Some(prompt_cache_key) = prompt_cache_key else {
|
||||
return;
|
||||
};
|
||||
|
||||
let Some(body_object) = provider_request_body.as_object_mut() else {
|
||||
return;
|
||||
};
|
||||
|
||||
@@ -431,6 +718,13 @@ pub fn apply_codex_openai_responses_special_body_edits(
|
||||
return;
|
||||
}
|
||||
|
||||
let prompt_cache_key = codex_prompt_cache_key_to_insert(
|
||||
provider_request_body,
|
||||
provider_type,
|
||||
provider_api_format,
|
||||
user_api_key_id,
|
||||
);
|
||||
|
||||
let Some(body_object) = provider_request_body.as_object_mut() else {
|
||||
return;
|
||||
};
|
||||
@@ -479,12 +773,7 @@ pub fn apply_codex_openai_responses_special_body_edits(
|
||||
inject_codex_default_variation_prompt(body_object);
|
||||
}
|
||||
|
||||
maybe_inject_codex_prompt_cache_key(
|
||||
provider_request_body,
|
||||
provider_type,
|
||||
provider_api_format,
|
||||
user_api_key_id,
|
||||
);
|
||||
insert_codex_prompt_cache_key(provider_request_body, prompt_cache_key);
|
||||
}
|
||||
|
||||
pub fn apply_codex_openai_responses_chat_body_edits(
|
||||
@@ -509,6 +798,9 @@ pub fn apply_codex_openai_responses_chat_body_edits(
|
||||
return;
|
||||
};
|
||||
ensure_codex_chat_reasoning_defaults(body_object, provider_api_format, body_rules);
|
||||
if let Some(prompt_cache_key) = body_object.remove("prompt_cache_key") {
|
||||
body_object.insert("prompt_cache_key".to_string(), prompt_cache_key);
|
||||
}
|
||||
}
|
||||
|
||||
pub fn apply_codex_openai_responses_special_headers(
|
||||
@@ -748,6 +1040,208 @@ mod tests {
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn codex_responses_body_edits_derive_prompt_cache_key_from_session_metadata() {
|
||||
let mut body_a = json!({
|
||||
"input": [{"role": "user", "content": "hello"}],
|
||||
"model": "gpt-5.4",
|
||||
"metadata": {
|
||||
"user_id": "{\"session_id\":\"session-a\",\"device_id\":\"device-a\"}"
|
||||
}
|
||||
});
|
||||
let mut body_b = json!({
|
||||
"input": [{"role": "user", "content": "hello again"}],
|
||||
"model": "gpt-5.4",
|
||||
"metadata": {
|
||||
"user_id": "{\"session_id\":\"session-a\",\"device_id\":\"device-b\"}"
|
||||
}
|
||||
});
|
||||
let mut body_c = json!({
|
||||
"input": [{"role": "user", "content": "hello"}],
|
||||
"model": "gpt-5.4",
|
||||
"metadata": {"session_id": "session-b"}
|
||||
});
|
||||
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_a,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("key-123"),
|
||||
);
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_b,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("different-key"),
|
||||
);
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_c,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("key-123"),
|
||||
);
|
||||
|
||||
assert_eq!(body_a["prompt_cache_key"], body_b["prompt_cache_key"]);
|
||||
assert_ne!(body_a["prompt_cache_key"], body_c["prompt_cache_key"]);
|
||||
assert!(body_a.get("metadata").is_none());
|
||||
assert!(body_b.get("metadata").is_none());
|
||||
assert!(body_c.get("metadata").is_none());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn codex_responses_body_edits_derive_prompt_cache_key_from_cache_control_anchor() {
|
||||
let mut body_a = json!({
|
||||
"input": [{
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{
|
||||
"type": "input_text",
|
||||
"text": "stable project brief",
|
||||
"cache_control": {"type": "ephemeral"}
|
||||
}]
|
||||
}, {
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{"type": "input_text", "text": "new turn A"}]
|
||||
}],
|
||||
"model": "gpt-5.4"
|
||||
});
|
||||
let mut body_b = json!({
|
||||
"input": [{
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{
|
||||
"type": "input_text",
|
||||
"text": "stable project brief",
|
||||
"cache_control": {"type": "ephemeral"}
|
||||
}]
|
||||
}, {
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{"type": "input_text", "text": "new turn B"}]
|
||||
}],
|
||||
"model": "gpt-5.4"
|
||||
});
|
||||
let mut body_c = json!({
|
||||
"input": [{
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{
|
||||
"type": "input_text",
|
||||
"text": "different project brief",
|
||||
"cache_control": {"type": "ephemeral"}
|
||||
}]
|
||||
}],
|
||||
"model": "gpt-5.4"
|
||||
});
|
||||
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_a,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("key-a"),
|
||||
);
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_b,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("key-b"),
|
||||
);
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_c,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("key-a"),
|
||||
);
|
||||
|
||||
assert_eq!(body_a["prompt_cache_key"], body_b["prompt_cache_key"]);
|
||||
assert_ne!(body_a["prompt_cache_key"], body_c["prompt_cache_key"]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn codex_responses_body_edits_derive_prompt_cache_key_from_stable_request_anchor() {
|
||||
let mut body_a = json!({
|
||||
"input": [{
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{"type": "input_text", "text": "open workspace"}]
|
||||
}, {
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{"type": "input_text", "text": "new turn A"}]
|
||||
}],
|
||||
"model": "gpt-5.4",
|
||||
"instructions": "Be concise.",
|
||||
"tools": [{
|
||||
"type": "function",
|
||||
"name": "shell",
|
||||
"parameters": {"type": "object", "properties": {}}
|
||||
}],
|
||||
"reasoning": {"effort": "medium"}
|
||||
});
|
||||
let mut body_b = json!({
|
||||
"input": [{
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{"type": "input_text", "text": "open workspace"}]
|
||||
}, {
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{"type": "input_text", "text": "new turn B"}]
|
||||
}],
|
||||
"model": "gpt-5.4",
|
||||
"instructions": "Be concise.",
|
||||
"tools": [{
|
||||
"type": "function",
|
||||
"name": "shell",
|
||||
"parameters": {"type": "object", "properties": {}}
|
||||
}],
|
||||
"reasoning": {"effort": "medium"}
|
||||
});
|
||||
let mut body_c = json!({
|
||||
"input": [{
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [{"type": "input_text", "text": "open another workspace"}]
|
||||
}],
|
||||
"model": "gpt-5.4",
|
||||
"instructions": "Be concise.",
|
||||
"tools": [{"type": "function", "name": "shell"}],
|
||||
"reasoning": {"effort": "medium"}
|
||||
});
|
||||
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_a,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("key-a"),
|
||||
);
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_b,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("key-a"),
|
||||
);
|
||||
apply_codex_openai_responses_special_body_edits(
|
||||
&mut body_c,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
None,
|
||||
Some("key-a"),
|
||||
);
|
||||
|
||||
assert_eq!(body_a["prompt_cache_key"], body_b["prompt_cache_key"]);
|
||||
assert_ne!(body_a["prompt_cache_key"], body_c["prompt_cache_key"]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn compact_body_edits_strip_include_store_and_stream() {
|
||||
let mut provider_request_body = json!({
|
||||
|
||||
@@ -108,6 +108,107 @@ pub fn canonical_usage_from_openai_usage(value: Option<&Value>) -> Option<Canoni
|
||||
})
|
||||
}
|
||||
|
||||
pub fn openai_stream_payload_is_terminal_error(payload: &Value) -> bool {
|
||||
let event_type = payload
|
||||
.get("type")
|
||||
.and_then(Value::as_str)
|
||||
.unwrap_or_default();
|
||||
if payload.get("error").is_some() {
|
||||
return true;
|
||||
}
|
||||
if matches!(
|
||||
event_type,
|
||||
"error" | "response.failed" | "response.incomplete"
|
||||
) {
|
||||
return true;
|
||||
}
|
||||
|
||||
payload
|
||||
.get("response")
|
||||
.and_then(Value::as_object)
|
||||
.and_then(|response| response.get("status"))
|
||||
.and_then(Value::as_str)
|
||||
.is_some_and(|status| matches!(status, "failed" | "incomplete"))
|
||||
}
|
||||
|
||||
pub fn openai_stream_terminal_error_body(payload: &Value) -> Option<Value> {
|
||||
if !openai_stream_payload_is_terminal_error(payload) {
|
||||
return None;
|
||||
}
|
||||
|
||||
let event_type = payload
|
||||
.get("type")
|
||||
.and_then(Value::as_str)
|
||||
.unwrap_or_default();
|
||||
let response = payload.get("response").and_then(Value::as_object);
|
||||
let status = response
|
||||
.and_then(|response| response.get("status"))
|
||||
.and_then(Value::as_str);
|
||||
let raw_error = response
|
||||
.and_then(|response| response.get("error"))
|
||||
.or_else(|| payload.get("error"));
|
||||
|
||||
let mut error = raw_error
|
||||
.and_then(Value::as_object)
|
||||
.cloned()
|
||||
.unwrap_or_default();
|
||||
|
||||
let message = error
|
||||
.get("message")
|
||||
.and_then(Value::as_str)
|
||||
.map(ToOwned::to_owned)
|
||||
.or_else(|| raw_error.and_then(Value::as_str).map(ToOwned::to_owned))
|
||||
.or_else(|| {
|
||||
payload
|
||||
.get("message")
|
||||
.and_then(Value::as_str)
|
||||
.map(ToOwned::to_owned)
|
||||
})
|
||||
.or_else(|| {
|
||||
response
|
||||
.and_then(|response| response.get("incomplete_details"))
|
||||
.and_then(|details| details.get("reason"))
|
||||
.and_then(Value::as_str)
|
||||
.map(|reason| format!("Response incomplete: {reason}"))
|
||||
})
|
||||
.or_else(|| status.map(|status| format!("Response ended with status {status}")))
|
||||
.unwrap_or_else(|| "Upstream stream ended with an error".to_string());
|
||||
|
||||
error
|
||||
.entry("message".to_string())
|
||||
.or_insert_with(|| Value::String(message));
|
||||
error.entry("type".to_string()).or_insert_with(|| {
|
||||
if event_type == "response.incomplete" || status == Some("incomplete") {
|
||||
Value::String("incomplete".to_string())
|
||||
} else {
|
||||
Value::String("server_error".to_string())
|
||||
}
|
||||
});
|
||||
|
||||
if !error.contains_key("code") {
|
||||
if let Some(reason) = response
|
||||
.and_then(|response| response.get("incomplete_details"))
|
||||
.and_then(|details| details.get("reason"))
|
||||
.and_then(Value::as_str)
|
||||
{
|
||||
error.insert("code".to_string(), Value::String(reason.to_string()));
|
||||
}
|
||||
}
|
||||
|
||||
Some(json!({ "error": Value::Object(error) }))
|
||||
}
|
||||
|
||||
pub fn openai_stream_terminal_error_message(payload: &Value) -> Option<String> {
|
||||
openai_stream_terminal_error_body(payload)
|
||||
.and_then(|body| body.get("error").cloned())
|
||||
.and_then(|error| {
|
||||
error
|
||||
.get("message")
|
||||
.and_then(Value::as_str)
|
||||
.map(ToOwned::to_owned)
|
||||
})
|
||||
}
|
||||
|
||||
pub fn canonical_usage_from_claude_usage(value: Option<&Value>) -> Option<CanonicalUsage> {
|
||||
let usage = value?.as_object()?;
|
||||
let input_tokens = usage
|
||||
|
||||
@@ -14,7 +14,8 @@ use crate::formats::shared::error_body::{
|
||||
};
|
||||
use crate::formats::shared::sse::encode_json_sse;
|
||||
use crate::formats::shared::stream_core::common::{
|
||||
decode_json_data_line, CanonicalStreamEvent, CanonicalStreamFrame, CanonicalUsage,
|
||||
decode_json_data_line, openai_stream_terminal_error_body, openai_stream_terminal_error_message,
|
||||
CanonicalStreamEvent, CanonicalStreamFrame, CanonicalUsage,
|
||||
};
|
||||
use crate::formats::shared::AiSurfaceFinalizeError;
|
||||
|
||||
@@ -197,6 +198,14 @@ impl StreamingStandardTerminalObserver {
|
||||
summary.model = Some(model);
|
||||
}
|
||||
match event {
|
||||
CanonicalStreamEvent::UnknownEvent(payload)
|
||||
if openai_stream_terminal_error_body(&payload).is_some() =>
|
||||
{
|
||||
summary.unknown_event_count = summary.unknown_event_count.saturating_add(1);
|
||||
summary.observed_finish = true;
|
||||
summary.finish_reason = Some("error".to_string());
|
||||
summary.parser_error = openai_stream_terminal_error_message(&payload);
|
||||
}
|
||||
CanonicalStreamEvent::UnknownEvent(_) => {
|
||||
summary.unknown_event_count = summary.unknown_event_count.saturating_add(1);
|
||||
}
|
||||
@@ -410,7 +419,8 @@ fn parse_provider_error(
|
||||
}
|
||||
|
||||
fn parse_openai_error(payload: &Value) -> Option<(String, Option<String>, LocalCoreSyncErrorKind)> {
|
||||
let error = payload.get("error")?.as_object()?;
|
||||
let error_body = openai_stream_terminal_error_body(payload)?;
|
||||
let error = error_body.get("error")?.as_object()?;
|
||||
let message = error.get("message").and_then(Value::as_str)?.to_string();
|
||||
let code = error
|
||||
.get("code")
|
||||
@@ -973,6 +983,41 @@ mod tests {
|
||||
assert!(!summary.observed_finish);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn terminal_observer_marks_openai_responses_failed_event_as_terminal_error() {
|
||||
let mut report_context = report_context("openai:chat", "openai:responses");
|
||||
report_context["provider_stream_event_api_format"] = json!("openai:responses");
|
||||
let mut observer = StreamingStandardTerminalObserver::default();
|
||||
|
||||
observer
|
||||
.push_line(
|
||||
&report_context,
|
||||
data_line(json!({
|
||||
"type": "response.failed",
|
||||
"response": {
|
||||
"id": "resp_failed_123",
|
||||
"model": "gpt-5.4",
|
||||
"status": "failed",
|
||||
"error": {
|
||||
"message": "policy failure",
|
||||
"type": "invalid_request_error",
|
||||
"code": "cyber_policy"
|
||||
}
|
||||
}
|
||||
})),
|
||||
)
|
||||
.expect("failed event should be observed");
|
||||
|
||||
let summary = observer
|
||||
.latest_summary()
|
||||
.cloned()
|
||||
.expect("summary should exist");
|
||||
assert!(summary.observed_finish);
|
||||
assert_eq!(summary.finish_reason.as_deref(), Some("error"));
|
||||
assert_eq!(summary.parser_error.as_deref(), Some("policy failure"));
|
||||
assert_eq!(summary.unknown_event_count, 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn terminal_observer_tracks_openai_image_stream_usage() {
|
||||
let mut report_context = report_context("openai:image", "openai:chat");
|
||||
|
||||
@@ -183,23 +183,35 @@ DO UPDATE SET
|
||||
total_cost_usd = CASE WHEN "usage".billing_status = 'pending' AND EXCLUDED.status IN ('completed', 'failed', 'cancelled') THEN GREATEST("usage".total_cost_usd, EXCLUDED.total_cost_usd) ELSE "usage".total_cost_usd END,
|
||||
actual_total_cost_usd = CASE WHEN "usage".billing_status = 'pending' AND EXCLUDED.status IN ('completed', 'failed', 'cancelled') THEN GREATEST("usage".actual_total_cost_usd, EXCLUDED.actual_total_cost_usd) ELSE "usage".actual_total_cost_usd END,
|
||||
status_code = CASE WHEN "usage".billing_status = 'pending' THEN CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND EXCLUDED.status IN ('pending', 'streaming') THEN "usage".status_code
|
||||
WHEN "usage".status = 'streaming' AND EXCLUDED.status = 'pending' THEN "usage".status_code
|
||||
WHEN EXCLUDED.status IN ('pending', 'streaming', 'completed', 'cancelled') AND EXCLUDED.status_code IS NULL THEN NULL
|
||||
ELSE COALESCE(EXCLUDED.status_code, "usage".status_code)
|
||||
END ELSE "usage".status_code END,
|
||||
error_message = CASE WHEN "usage".billing_status = 'pending' THEN CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND EXCLUDED.status IN ('pending', 'streaming') THEN "usage".error_message
|
||||
WHEN "usage".status = 'streaming' AND EXCLUDED.status = 'pending' THEN "usage".error_message
|
||||
WHEN EXCLUDED.status IN ('pending', 'streaming', 'completed', 'cancelled') THEN EXCLUDED.error_message
|
||||
ELSE COALESCE(EXCLUDED.error_message, "usage".error_message)
|
||||
END ELSE "usage".error_message END,
|
||||
error_category = CASE WHEN "usage".billing_status = 'pending' THEN CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND EXCLUDED.status IN ('pending', 'streaming') THEN "usage".error_category
|
||||
WHEN "usage".status = 'streaming' AND EXCLUDED.status = 'pending' THEN "usage".error_category
|
||||
WHEN EXCLUDED.status IN ('pending', 'streaming', 'completed', 'cancelled') THEN EXCLUDED.error_category
|
||||
ELSE COALESCE(EXCLUDED.error_category, "usage".error_category)
|
||||
END ELSE "usage".error_category END,
|
||||
response_time_ms = CASE WHEN "usage".billing_status = 'pending' THEN COALESCE(EXCLUDED.response_time_ms, "usage".response_time_ms) ELSE "usage".response_time_ms END,
|
||||
first_byte_time_ms = CASE WHEN "usage".billing_status = 'pending' THEN COALESCE(EXCLUDED.first_byte_time_ms, "usage".first_byte_time_ms) ELSE "usage".first_byte_time_ms END,
|
||||
response_time_ms = CASE WHEN "usage".billing_status = 'pending' THEN CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND EXCLUDED.status IN ('pending', 'streaming') THEN "usage".response_time_ms
|
||||
WHEN EXCLUDED.response_time_ms IS NULL OR EXCLUDED.response_time_ms = 0 THEN COALESCE("usage".response_time_ms, EXCLUDED.response_time_ms)
|
||||
ELSE EXCLUDED.response_time_ms
|
||||
END ELSE "usage".response_time_ms END,
|
||||
first_byte_time_ms = CASE WHEN "usage".billing_status = 'pending' THEN CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND EXCLUDED.status IN ('pending', 'streaming') THEN "usage".first_byte_time_ms
|
||||
WHEN EXCLUDED.first_byte_time_ms IS NULL OR EXCLUDED.first_byte_time_ms = 0 THEN COALESCE("usage".first_byte_time_ms, EXCLUDED.first_byte_time_ms)
|
||||
ELSE EXCLUDED.first_byte_time_ms
|
||||
END ELSE "usage".first_byte_time_ms END,
|
||||
status = CASE WHEN "usage".billing_status = 'pending' THEN CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND EXCLUDED.status IN ('pending', 'streaming') THEN "usage".status
|
||||
WHEN "usage".status = 'streaming' AND EXCLUDED.status = 'pending' THEN "usage".status
|
||||
ELSE EXCLUDED.status
|
||||
END ELSE "usage".status END,
|
||||
|
||||
@@ -182,17 +182,41 @@ ON CONFLICT (request_id) DO UPDATE SET
|
||||
output_price_per_1m = excluded.output_price_per_1m,
|
||||
total_cost_usd = excluded.total_cost_usd,
|
||||
actual_total_cost_usd = excluded.actual_total_cost_usd,
|
||||
status_code = excluded.status_code,
|
||||
error_message = excluded.error_message,
|
||||
error_category = excluded.error_category,
|
||||
response_time_ms = excluded.response_time_ms,
|
||||
first_byte_time_ms = excluded.first_byte_time_ms,
|
||||
status = excluded.status,
|
||||
status_code = CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND excluded.status IN ('pending', 'streaming') THEN "usage".status_code
|
||||
WHEN "usage".status = 'streaming' AND excluded.status = 'pending' THEN "usage".status_code
|
||||
ELSE excluded.status_code
|
||||
END,
|
||||
error_message = CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND excluded.status IN ('pending', 'streaming') THEN "usage".error_message
|
||||
WHEN "usage".status = 'streaming' AND excluded.status = 'pending' THEN "usage".error_message
|
||||
ELSE excluded.error_message
|
||||
END,
|
||||
error_category = CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND excluded.status IN ('pending', 'streaming') THEN "usage".error_category
|
||||
WHEN "usage".status = 'streaming' AND excluded.status = 'pending' THEN "usage".error_category
|
||||
ELSE excluded.error_category
|
||||
END,
|
||||
response_time_ms = CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND excluded.status IN ('pending', 'streaming') THEN "usage".response_time_ms
|
||||
WHEN excluded.response_time_ms IS NULL OR excluded.response_time_ms = 0 THEN COALESCE("usage".response_time_ms, excluded.response_time_ms)
|
||||
ELSE excluded.response_time_ms
|
||||
END,
|
||||
first_byte_time_ms = CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND excluded.status IN ('pending', 'streaming') THEN "usage".first_byte_time_ms
|
||||
WHEN excluded.first_byte_time_ms IS NULL OR excluded.first_byte_time_ms = 0 THEN COALESCE("usage".first_byte_time_ms, excluded.first_byte_time_ms)
|
||||
ELSE excluded.first_byte_time_ms
|
||||
END,
|
||||
status = CASE
|
||||
WHEN "usage".status IN ('completed', 'failed', 'cancelled') AND excluded.status IN ('pending', 'streaming') THEN "usage".status
|
||||
WHEN "usage".status = 'streaming' AND excluded.status = 'pending' THEN "usage".status
|
||||
ELSE excluded.status
|
||||
END,
|
||||
billing_status = excluded.billing_status,
|
||||
request_metadata = excluded.request_metadata,
|
||||
candidate_id = excluded.candidate_id,
|
||||
candidate_index = excluded.candidate_index,
|
||||
key_name = excluded.key_name,
|
||||
candidate_id = COALESCE(excluded.candidate_id, "usage".candidate_id),
|
||||
candidate_index = COALESCE(excluded.candidate_index, "usage".candidate_index),
|
||||
key_name = COALESCE(excluded.key_name, "usage".key_name),
|
||||
planner_kind = excluded.planner_kind,
|
||||
route_family = excluded.route_family,
|
||||
route_kind = excluded.route_kind,
|
||||
|
||||
@@ -463,7 +463,7 @@ pub fn build_local_request_candidate_status_record(
|
||||
.map(str::trim)
|
||||
.filter(|value| !value.is_empty())?;
|
||||
let metadata = parse_request_candidate_report_context(report_context)?;
|
||||
let candidate_index = metadata.candidate_index?;
|
||||
let candidate_index = metadata.candidate_index.unwrap_or(0);
|
||||
let extra_data = build_report_candidate_extra_data(ReportCandidateExtraDataInput {
|
||||
client_api_format: metadata.client_api_format.clone(),
|
||||
provider_api_format: metadata.provider_api_format.clone(),
|
||||
|
||||
@@ -27,9 +27,9 @@ pub use report::{
|
||||
infer_internal_finalize_signature, is_local_ai_stream_report_kind,
|
||||
is_local_ai_sync_report_kind, normalize_gemini_file_name, report_request_id,
|
||||
resolve_internal_finalize_route, should_handle_local_stream_report,
|
||||
should_handle_local_sync_report, sync_report_represents_failure, GatewayStreamReportRequest,
|
||||
GatewaySyncReportRequest, GeminiFileMappingEntry, InternalFinalizeRoute,
|
||||
GEMINI_FILE_MAPPING_TTL_SECONDS,
|
||||
should_handle_local_sync_report, stream_report_represents_failure,
|
||||
sync_report_represents_failure, GatewayStreamReportRequest, GatewaySyncReportRequest,
|
||||
GeminiFileMappingEntry, InternalFinalizeRoute, GEMINI_FILE_MAPPING_TTL_SECONDS,
|
||||
};
|
||||
pub use report_context::{
|
||||
build_locally_actionable_report_context_from_request_candidate,
|
||||
|
||||
@@ -292,6 +292,24 @@ pub fn sync_report_represents_failure(
|
||||
.is_some_and(|value| !value.is_null())
|
||||
}
|
||||
|
||||
fn stream_terminal_summary_represents_failure(summary: &ExecutionStreamTerminalSummary) -> bool {
|
||||
summary.parser_error.is_some()
|
||||
|| (!summary.observed_finish
|
||||
&& !summary
|
||||
.standardized_usage
|
||||
.as_ref()
|
||||
.is_some_and(aether_contracts::StandardizedUsage::has_token_signal))
|
||||
}
|
||||
|
||||
pub fn stream_report_represents_failure(payload: &GatewayStreamReportRequest) -> bool {
|
||||
payload.status_code >= 400
|
||||
|| payload.report_kind.contains("error")
|
||||
|| payload
|
||||
.terminal_summary
|
||||
.as_ref()
|
||||
.is_some_and(stream_terminal_summary_represents_failure)
|
||||
}
|
||||
|
||||
pub fn should_handle_local_sync_report(
|
||||
report_context: Option<&serde_json::Value>,
|
||||
report_kind: &str,
|
||||
@@ -373,6 +391,7 @@ fn content_type_starts_with(headers: &BTreeMap<String, String>, expected_prefix:
|
||||
mod tests {
|
||||
use std::collections::BTreeMap;
|
||||
|
||||
use aether_contracts::ExecutionStreamTerminalSummary;
|
||||
use base64::Engine as _;
|
||||
use serde_json::json;
|
||||
|
||||
@@ -381,7 +400,8 @@ mod tests {
|
||||
infer_internal_finalize_signature, is_local_ai_stream_report_kind,
|
||||
is_local_ai_sync_report_kind, normalize_gemini_file_name, report_request_id,
|
||||
resolve_internal_finalize_route, should_handle_local_stream_report,
|
||||
should_handle_local_sync_report, sync_report_represents_failure, GatewaySyncReportRequest,
|
||||
should_handle_local_sync_report, stream_report_represents_failure,
|
||||
sync_report_represents_failure, GatewayStreamReportRequest, GatewaySyncReportRequest,
|
||||
GeminiFileMappingEntry, InternalFinalizeRoute,
|
||||
};
|
||||
|
||||
@@ -416,6 +436,22 @@ mod tests {
|
||||
}
|
||||
}
|
||||
|
||||
fn sample_stream_report(report_kind: &str, status_code: u16) -> GatewayStreamReportRequest {
|
||||
GatewayStreamReportRequest {
|
||||
trace_id: "trace-stream-123".to_string(),
|
||||
report_kind: report_kind.to_string(),
|
||||
report_context: None,
|
||||
status_code,
|
||||
headers: BTreeMap::new(),
|
||||
provider_body_base64: None,
|
||||
provider_body_state: None,
|
||||
client_body_base64: None,
|
||||
client_body_state: None,
|
||||
terminal_summary: None,
|
||||
telemetry: None,
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn classifies_local_ai_sync_report_kinds() {
|
||||
assert!(is_local_ai_sync_report_kind(
|
||||
@@ -481,6 +517,18 @@ mod tests {
|
||||
assert!(!sync_report_represents_failure(&success_payload, None));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn detects_stream_report_failure_from_terminal_summary_error() {
|
||||
let mut payload = sample_stream_report("openai_responses_stream_success", 200);
|
||||
payload.terminal_summary = Some(ExecutionStreamTerminalSummary {
|
||||
observed_finish: true,
|
||||
parser_error: Some("policy failure".to_string()),
|
||||
..ExecutionStreamTerminalSummary::default()
|
||||
});
|
||||
|
||||
assert!(stream_report_represents_failure(&payload));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn infers_internal_finalize_signature_from_context_or_report_kind() {
|
||||
let from_context = sample_sync_report_with_context(
|
||||
|
||||
@@ -158,6 +158,8 @@ pub struct StreamTerminalUsagePayloadSeed {
|
||||
pub client_response: Option<Value>,
|
||||
pub client_response_body_state: Option<UsageBodyCaptureState>,
|
||||
pub standardized_usage: Option<StandardizedUsage>,
|
||||
pub observed_stream_finish: Option<bool>,
|
||||
pub terminal_error_message: Option<String>,
|
||||
pub capture_metadata: Option<Value>,
|
||||
}
|
||||
|
||||
@@ -183,6 +185,7 @@ pub struct TerminalUsageSeed {
|
||||
pub has_format_conversion: bool,
|
||||
pub is_stream: bool,
|
||||
pub status_code: u16,
|
||||
pub terminal_error_message: Option<String>,
|
||||
pub response_time_ms: Option<u64>,
|
||||
pub first_byte_time_ms: Option<u64>,
|
||||
pub request_headers: Option<Value>,
|
||||
@@ -506,6 +509,7 @@ fn build_terminal_usage_event_from_seed_impl(
|
||||
has_format_conversion,
|
||||
is_stream,
|
||||
status_code,
|
||||
terminal_error_message,
|
||||
response_time_ms,
|
||||
first_byte_time_ms,
|
||||
request_headers,
|
||||
@@ -530,7 +534,8 @@ fn build_terminal_usage_event_from_seed_impl(
|
||||
};
|
||||
let routing = merge_routing_seed_with_metadata_owned(routing, request_metadata.as_ref());
|
||||
let body_refs = merge_body_refs_seed_with_metadata_owned(body_refs, request_metadata.as_ref());
|
||||
let error_message = resolve_error_message(status_code, provider_response.as_ref(), None)
|
||||
let error_message = terminal_error_message
|
||||
.or_else(|| resolve_error_message(status_code, provider_response.as_ref(), None))
|
||||
.or_else(|| resolve_error_message(status_code, client_response.as_ref(), None));
|
||||
let api_family = infer_api_family(&client_contract).map(ToOwned::to_owned);
|
||||
let endpoint_kind = infer_endpoint_kind(&client_contract).map(ToOwned::to_owned);
|
||||
@@ -623,10 +628,6 @@ fn build_terminal_usage_event_from_seed_impl(
|
||||
apply_completed_image_usage_estimate(&mut data);
|
||||
}
|
||||
|
||||
if matches!(event_type, UsageEventType::Cancelled) {
|
||||
apply_cancelled_usage_estimate(&mut data);
|
||||
}
|
||||
|
||||
let data = if trusted_request_metadata {
|
||||
sanitize_usage_event_capture_fields_trusted(data)
|
||||
} else {
|
||||
@@ -779,6 +780,16 @@ pub fn build_stream_terminal_usage_payload_seed(
|
||||
let provider_response_headers = context_usage_value(context, "provider_response_headers")
|
||||
.or_else(|| headers_to_json(&payload.headers));
|
||||
let client_response_headers = headers_to_json(&payload.headers);
|
||||
let observed_stream_finish = payload
|
||||
.terminal_summary
|
||||
.as_ref()
|
||||
.map(|summary| summary.observed_finish);
|
||||
let terminal_error_message = payload
|
||||
.terminal_summary
|
||||
.as_ref()
|
||||
.and_then(|summary| summary.parser_error.clone())
|
||||
.map(|message| message.trim().to_string())
|
||||
.filter(|message| !message.is_empty());
|
||||
StreamTerminalUsagePayloadSeed {
|
||||
report_kind: payload.report_kind.clone(),
|
||||
status_code: payload.status_code,
|
||||
@@ -797,6 +808,8 @@ pub fn build_stream_terminal_usage_payload_seed(
|
||||
.terminal_summary
|
||||
.as_ref()
|
||||
.and_then(|summary| summary.standardized_usage.clone()),
|
||||
observed_stream_finish,
|
||||
terminal_error_message,
|
||||
capture_metadata: build_payload_body_capture_metadata(
|
||||
payload.provider_body_base64.as_deref(),
|
||||
payload.client_body_base64.as_deref(),
|
||||
@@ -853,6 +866,7 @@ pub fn build_sync_terminal_usage_seed(
|
||||
has_format_conversion: context_seed.has_format_conversion,
|
||||
is_stream: context_seed.is_stream,
|
||||
status_code,
|
||||
terminal_error_message: None,
|
||||
response_time_ms,
|
||||
first_byte_time_ms,
|
||||
request_headers: context_seed.request_headers,
|
||||
@@ -894,6 +908,8 @@ pub fn build_stream_terminal_usage_seed(
|
||||
client_response,
|
||||
client_response_body_state,
|
||||
standardized_usage,
|
||||
observed_stream_finish,
|
||||
terminal_error_message,
|
||||
capture_metadata,
|
||||
} = payload_seed;
|
||||
let standardized_usage = standardized_usage.or_else(|| {
|
||||
@@ -901,7 +917,28 @@ pub fn build_stream_terminal_usage_seed(
|
||||
map_usage_from_response(response, context_seed.provider_contract.as_str())
|
||||
})
|
||||
});
|
||||
let terminal_state = infer_stream_terminal_state(report_kind.as_str(), status_code, cancelled);
|
||||
let missing_observed_finish = matches!(observed_stream_finish, Some(false))
|
||||
&& !standardized_usage
|
||||
.as_ref()
|
||||
.is_some_and(StandardizedUsage::has_token_signal);
|
||||
let terminal_error_message = terminal_error_message
|
||||
.or_else(|| {
|
||||
provider_response_full
|
||||
.as_ref()
|
||||
.and_then(extract_explicit_error_message_from_json)
|
||||
})
|
||||
.or_else(|| {
|
||||
client_response
|
||||
.as_ref()
|
||||
.and_then(extract_explicit_error_message_from_json)
|
||||
});
|
||||
let terminal_state = infer_stream_terminal_state(
|
||||
report_kind.as_str(),
|
||||
status_code,
|
||||
cancelled,
|
||||
missing_observed_finish,
|
||||
terminal_error_message.is_some(),
|
||||
);
|
||||
|
||||
TerminalUsageSeed {
|
||||
terminal_state,
|
||||
@@ -924,6 +961,7 @@ pub fn build_stream_terminal_usage_seed(
|
||||
has_format_conversion: context_seed.has_format_conversion,
|
||||
is_stream: context_seed.is_stream,
|
||||
status_code,
|
||||
terminal_error_message,
|
||||
response_time_ms,
|
||||
first_byte_time_ms,
|
||||
request_headers: context_seed.request_headers,
|
||||
@@ -970,10 +1008,12 @@ fn infer_stream_terminal_state(
|
||||
report_kind: &str,
|
||||
status_code: u16,
|
||||
cancelled: bool,
|
||||
missing_observed_finish: bool,
|
||||
terminal_error: bool,
|
||||
) -> UsageTerminalState {
|
||||
if cancelled || status_code == 499 || report_kind.contains("cancel") {
|
||||
UsageTerminalState::Cancelled
|
||||
} else if !(200..300).contains(&status_code) {
|
||||
} else if !(200..300).contains(&status_code) || missing_observed_finish || terminal_error {
|
||||
UsageTerminalState::Failed
|
||||
} else {
|
||||
UsageTerminalState::Completed
|
||||
@@ -2141,6 +2181,31 @@ fn extract_explicit_error_message_from_json(value: &Value) -> Option<String> {
|
||||
.and_then(|error| error.get("message"))
|
||||
.and_then(Value::as_str)
|
||||
.map(ToOwned::to_owned)
|
||||
.or_else(|| {
|
||||
value
|
||||
.get("response")
|
||||
.and_then(|response| response.get("error"))
|
||||
.and_then(|error| error.get("message"))
|
||||
.and_then(Value::as_str)
|
||||
.map(ToOwned::to_owned)
|
||||
})
|
||||
.or_else(|| {
|
||||
value
|
||||
.get("response")
|
||||
.and_then(|response| response.get("incomplete_details"))
|
||||
.and_then(|details| details.get("reason"))
|
||||
.and_then(Value::as_str)
|
||||
.map(|reason| format!("Response incomplete: {reason}"))
|
||||
})
|
||||
.or_else(|| extract_stream_error_message_from_chunks(value))
|
||||
}
|
||||
|
||||
fn extract_stream_error_message_from_chunks(value: &Value) -> Option<String> {
|
||||
value
|
||||
.get("chunks")
|
||||
.and_then(Value::as_array)?
|
||||
.iter()
|
||||
.find_map(extract_explicit_error_message_from_json)
|
||||
}
|
||||
|
||||
fn extract_generic_error_message_from_json(value: &Value) -> Option<String> {
|
||||
@@ -2303,48 +2368,6 @@ fn extract_token_counts_from_value(value: &Value) -> Option<(u64, u64, u64)> {
|
||||
}
|
||||
}
|
||||
|
||||
fn apply_cancelled_usage_estimate(data: &mut UsageEventData) {
|
||||
let provider_usage_available = data
|
||||
.response_body
|
||||
.as_ref()
|
||||
.and_then(extract_token_counts_from_value)
|
||||
.is_some();
|
||||
let request_usage = data
|
||||
.provider_request_body
|
||||
.as_ref()
|
||||
.or(data.request_body.as_ref())
|
||||
.and_then(estimate_request_usage);
|
||||
|
||||
if positive_tokens(data.input_tokens) == 0 {
|
||||
if let Some(usage) = request_usage.as_ref() {
|
||||
data.input_tokens = Some(usage.input_tokens);
|
||||
}
|
||||
}
|
||||
|
||||
if !provider_usage_available {
|
||||
apply_cancelled_request_cache_estimate(data, request_usage.as_ref());
|
||||
}
|
||||
|
||||
if positive_tokens(data.output_tokens) == 0 {
|
||||
if let Some(output_tokens) = data
|
||||
.response_body
|
||||
.as_ref()
|
||||
.or(data.client_response_body.as_ref())
|
||||
.and_then(estimate_response_output_tokens)
|
||||
{
|
||||
data.output_tokens = Some(output_tokens);
|
||||
}
|
||||
}
|
||||
|
||||
if positive_tokens(data.total_tokens) == 0 {
|
||||
let total_tokens =
|
||||
positive_tokens(data.input_tokens).saturating_add(positive_tokens(data.output_tokens));
|
||||
if total_tokens > 0 {
|
||||
data.total_tokens = Some(total_tokens);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn apply_completed_image_usage_estimate(data: &mut UsageEventData) {
|
||||
if !usage_event_data_is_image(data) {
|
||||
return;
|
||||
@@ -2369,7 +2392,7 @@ fn apply_completed_image_usage_estimate(data: &mut UsageEventData) {
|
||||
data.input_tokens = Some(usage.input_tokens);
|
||||
}
|
||||
}
|
||||
apply_cancelled_request_cache_estimate(data, request_usage.as_ref());
|
||||
apply_request_cache_usage_estimate(data, request_usage.as_ref());
|
||||
if positive_tokens(data.total_tokens) == 0 {
|
||||
let total_tokens =
|
||||
positive_tokens(data.input_tokens).saturating_add(positive_tokens(data.output_tokens));
|
||||
@@ -2507,7 +2530,7 @@ fn usage_event_data_is_image(data: &UsageEventData) -> bool {
|
||||
.is_some_and(|value| value.eq_ignore_ascii_case("image"))
|
||||
}
|
||||
|
||||
fn apply_cancelled_request_cache_estimate(
|
||||
fn apply_request_cache_usage_estimate(
|
||||
data: &mut UsageEventData,
|
||||
request_usage: Option<&EstimatedRequestUsage>,
|
||||
) {
|
||||
@@ -2674,280 +2697,6 @@ fn estimate_text_tokens(text: &str) -> u64 {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Default)]
|
||||
struct StreamOutputEstimate {
|
||||
text: String,
|
||||
saw_delta: bool,
|
||||
}
|
||||
|
||||
impl StreamOutputEstimate {
|
||||
fn push_delta(&mut self, text: &str) {
|
||||
if text.is_empty() {
|
||||
return;
|
||||
}
|
||||
self.saw_delta = true;
|
||||
self.text.push_str(text);
|
||||
}
|
||||
|
||||
fn push_done(&mut self, text: &str) {
|
||||
if text.is_empty() || self.saw_delta {
|
||||
return;
|
||||
}
|
||||
self.text.push_str(text);
|
||||
}
|
||||
}
|
||||
|
||||
fn estimate_response_output_tokens(value: &Value) -> Option<u64> {
|
||||
let mut estimate = StreamOutputEstimate::default();
|
||||
collect_stream_output_text(value, &mut estimate);
|
||||
let tokens = estimate_text_tokens(estimate.text.as_str());
|
||||
(tokens > 0).then_some(tokens)
|
||||
}
|
||||
|
||||
fn collect_stream_output_text(value: &Value, estimate: &mut StreamOutputEstimate) {
|
||||
match value {
|
||||
Value::String(text) => {
|
||||
for_each_sse_payload(text, |payload| {
|
||||
if payload == "[DONE]" {
|
||||
return;
|
||||
}
|
||||
if let Ok(json_body) = serde_json::from_str::<Value>(payload) {
|
||||
collect_stream_output_text(&json_body, estimate);
|
||||
}
|
||||
});
|
||||
}
|
||||
Value::Array(items) => {
|
||||
for item in items {
|
||||
collect_stream_output_text(item, estimate);
|
||||
}
|
||||
}
|
||||
Value::Object(object) => {
|
||||
if let Some(chunks) = object.get("chunks").and_then(Value::as_array) {
|
||||
for chunk in chunks {
|
||||
collect_stream_output_text(chunk, estimate);
|
||||
}
|
||||
return;
|
||||
}
|
||||
collect_openai_responses_output_text(object, estimate);
|
||||
collect_openai_chat_output_text(object, estimate);
|
||||
collect_claude_output_text(object, estimate);
|
||||
collect_gemini_output_text(object, estimate);
|
||||
}
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
|
||||
fn collect_openai_responses_output_text(
|
||||
object: &Map<String, Value>,
|
||||
estimate: &mut StreamOutputEstimate,
|
||||
) {
|
||||
match object
|
||||
.get("type")
|
||||
.and_then(Value::as_str)
|
||||
.unwrap_or_default()
|
||||
{
|
||||
"response.output_text.delta" | "response.outtext.delta" => {
|
||||
if let Some(text) = openai_delta_text(object.get("delta")) {
|
||||
estimate.push_delta(text.as_str());
|
||||
}
|
||||
}
|
||||
"response.reasoning_summary_text.delta" | "response.function_call_arguments.delta" => {
|
||||
if let Some(text) = object.get("delta").and_then(Value::as_str) {
|
||||
estimate.push_delta(text);
|
||||
}
|
||||
}
|
||||
"response.output_text.done" | "response.reasoning_summary_text.done" => {
|
||||
if let Some(text) = object
|
||||
.get("text")
|
||||
.and_then(Value::as_str)
|
||||
.or_else(|| part_text(object.get("part")))
|
||||
{
|
||||
estimate.push_done(text);
|
||||
}
|
||||
}
|
||||
"response.function_call_arguments.done" => {
|
||||
if let Some(text) = object.get("arguments").and_then(Value::as_str) {
|
||||
estimate.push_done(text);
|
||||
}
|
||||
}
|
||||
"response.output_item.done" => {
|
||||
if let Some(item) = object.get("item").and_then(Value::as_object) {
|
||||
collect_openai_responses_output_item_text(item, estimate);
|
||||
}
|
||||
}
|
||||
"response.completed" => {
|
||||
if let Some(response) = object.get("response").and_then(Value::as_object) {
|
||||
collect_openai_responses_completed_text(response, estimate);
|
||||
}
|
||||
}
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
|
||||
fn collect_openai_responses_completed_text(
|
||||
response: &Map<String, Value>,
|
||||
estimate: &mut StreamOutputEstimate,
|
||||
) {
|
||||
for item in response
|
||||
.get("output")
|
||||
.and_then(Value::as_array)
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.filter_map(Value::as_object)
|
||||
{
|
||||
collect_openai_responses_output_item_text(item, estimate);
|
||||
}
|
||||
}
|
||||
|
||||
fn collect_openai_responses_output_item_text(
|
||||
item: &Map<String, Value>,
|
||||
estimate: &mut StreamOutputEstimate,
|
||||
) {
|
||||
match item.get("type").and_then(Value::as_str).unwrap_or_default() {
|
||||
"message" => {
|
||||
for content in item
|
||||
.get("content")
|
||||
.and_then(Value::as_array)
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.filter_map(Value::as_object)
|
||||
{
|
||||
if content.get("type").and_then(Value::as_str) == Some("output_text") {
|
||||
if let Some(text) = content.get("text").and_then(Value::as_str) {
|
||||
estimate.push_done(text);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"reasoning" => {
|
||||
for summary in item
|
||||
.get("summary")
|
||||
.and_then(Value::as_array)
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.filter_map(Value::as_object)
|
||||
{
|
||||
if let Some(text) = summary.get("text").and_then(Value::as_str) {
|
||||
estimate.push_done(text);
|
||||
}
|
||||
}
|
||||
}
|
||||
"function_call" => {
|
||||
if let Some(arguments) = item.get("arguments").and_then(Value::as_str) {
|
||||
estimate.push_done(arguments);
|
||||
}
|
||||
}
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
|
||||
fn collect_openai_chat_output_text(
|
||||
object: &Map<String, Value>,
|
||||
estimate: &mut StreamOutputEstimate,
|
||||
) {
|
||||
for choice in object
|
||||
.get("choices")
|
||||
.and_then(Value::as_array)
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.filter_map(Value::as_object)
|
||||
{
|
||||
if let Some(delta) = choice.get("delta").and_then(Value::as_object) {
|
||||
if let Some(content) = delta.get("content").and_then(Value::as_str) {
|
||||
estimate.push_delta(content);
|
||||
}
|
||||
if let Some(reasoning_content) = delta.get("reasoning_content").and_then(Value::as_str)
|
||||
{
|
||||
estimate.push_delta(reasoning_content);
|
||||
}
|
||||
for tool_call in delta
|
||||
.get("tool_calls")
|
||||
.and_then(Value::as_array)
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.filter_map(Value::as_object)
|
||||
{
|
||||
if let Some(arguments) = tool_call
|
||||
.get("function")
|
||||
.and_then(Value::as_object)
|
||||
.and_then(|function| function.get("arguments"))
|
||||
.and_then(Value::as_str)
|
||||
{
|
||||
estimate.push_delta(arguments);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn collect_claude_output_text(object: &Map<String, Value>, estimate: &mut StreamOutputEstimate) {
|
||||
if object.get("type").and_then(Value::as_str) != Some("content_block_delta") {
|
||||
return;
|
||||
}
|
||||
let Some(delta) = object.get("delta").and_then(Value::as_object) else {
|
||||
return;
|
||||
};
|
||||
match delta
|
||||
.get("type")
|
||||
.and_then(Value::as_str)
|
||||
.unwrap_or_default()
|
||||
{
|
||||
"text_delta" => {
|
||||
if let Some(text) = delta.get("text").and_then(Value::as_str) {
|
||||
estimate.push_delta(text);
|
||||
}
|
||||
}
|
||||
"thinking_delta" => {
|
||||
if let Some(text) = delta.get("thinking").and_then(Value::as_str) {
|
||||
estimate.push_delta(text);
|
||||
}
|
||||
}
|
||||
"input_json_delta" => {
|
||||
if let Some(text) = delta.get("partial_json").and_then(Value::as_str) {
|
||||
estimate.push_delta(text);
|
||||
}
|
||||
}
|
||||
_ => {}
|
||||
}
|
||||
}
|
||||
|
||||
fn collect_gemini_output_text(object: &Map<String, Value>, estimate: &mut StreamOutputEstimate) {
|
||||
for part in object
|
||||
.get("candidates")
|
||||
.and_then(Value::as_array)
|
||||
.into_iter()
|
||||
.flatten()
|
||||
.filter_map(|candidate| candidate.get("content"))
|
||||
.filter_map(Value::as_object)
|
||||
.filter_map(|content| content.get("parts"))
|
||||
.filter_map(Value::as_array)
|
||||
.flatten()
|
||||
.filter_map(Value::as_object)
|
||||
{
|
||||
if let Some(text) = part.get("text").and_then(Value::as_str) {
|
||||
estimate.push_delta(text);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn openai_delta_text(value: Option<&Value>) -> Option<String> {
|
||||
match value {
|
||||
Some(Value::String(text)) => Some(text.clone()),
|
||||
Some(Value::Object(object)) => object
|
||||
.get("text")
|
||||
.and_then(Value::as_str)
|
||||
.map(ToOwned::to_owned),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
|
||||
fn part_text(value: Option<&Value>) -> Option<&str> {
|
||||
value
|
||||
.and_then(Value::as_object)
|
||||
.and_then(|part| part.get("text"))
|
||||
.and_then(Value::as_str)
|
||||
}
|
||||
|
||||
fn extract_token_counts_from_json(value: &Value) -> Option<(u64, u64, u64)> {
|
||||
if let Some(usage) = value.get("usage").and_then(Value::as_object) {
|
||||
let input = usage
|
||||
@@ -3633,7 +3382,7 @@ mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cancelled_stream_usage_estimates_tokens_from_request_and_partial_response() {
|
||||
fn cancelled_stream_usage_does_not_estimate_tokens_from_request_or_partial_response() {
|
||||
let plan = ExecutionPlan {
|
||||
request_id: "req-stream-cancelled-estimated-usage-1".to_string(),
|
||||
candidate_id: Some("cand-stream-cancelled-estimated-usage-1".to_string()),
|
||||
@@ -3692,16 +3441,14 @@ mod tests {
|
||||
.expect("usage event should build");
|
||||
|
||||
assert_eq!(event.event_type, UsageEventType::Cancelled);
|
||||
assert!(event.data.input_tokens.unwrap_or_default() > 0);
|
||||
assert_eq!(event.data.output_tokens, Some(5));
|
||||
assert_eq!(
|
||||
event.data.total_tokens,
|
||||
Some(event.data.input_tokens.unwrap_or_default() + 5)
|
||||
);
|
||||
assert_eq!(event.data.input_tokens, None);
|
||||
assert_eq!(event.data.output_tokens, None);
|
||||
assert_eq!(event.data.total_tokens, None);
|
||||
assert_eq!(event.data.cache_read_input_tokens, None);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cancelled_stream_usage_does_not_infer_cache_read_from_prompt_cache_key() {
|
||||
fn cancelled_stream_usage_does_not_infer_cache_or_token_estimates_from_prompt_cache_key() {
|
||||
let request_body = json!({
|
||||
"model": "gpt-5.4",
|
||||
"input": "Use the cached project context and answer briefly",
|
||||
@@ -3752,15 +3499,81 @@ mod tests {
|
||||
let event =
|
||||
build_stream_terminal_usage_event(&plan, payload.report_context.as_ref(), &payload)
|
||||
.expect("usage event should build");
|
||||
let input_tokens = event
|
||||
.data
|
||||
.input_tokens
|
||||
.expect("input estimate should exist");
|
||||
|
||||
assert_eq!(event.event_type, UsageEventType::Cancelled);
|
||||
assert_eq!(event.data.input_tokens, None);
|
||||
assert_eq!(event.data.output_tokens, None);
|
||||
assert_eq!(event.data.total_tokens, None);
|
||||
assert_eq!(event.data.cache_read_input_tokens, None);
|
||||
assert_eq!(event.data.output_tokens, Some(4));
|
||||
assert_eq!(event.data.total_tokens, Some(input_tokens + 4));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn cancelled_stream_usage_preserves_terminal_summary_usage() {
|
||||
let plan = ExecutionPlan {
|
||||
request_id: "req-stream-cancelled-summary-usage-1".to_string(),
|
||||
candidate_id: Some("cand-stream-cancelled-summary-usage-1".to_string()),
|
||||
provider_name: Some("OpenAI".to_string()),
|
||||
provider_id: "provider-1".to_string(),
|
||||
endpoint_id: "endpoint-1".to_string(),
|
||||
key_id: "key-1".to_string(),
|
||||
method: "POST".to_string(),
|
||||
url: "https://example.com/v1/responses".to_string(),
|
||||
headers: BTreeMap::new(),
|
||||
content_type: Some("application/json".to_string()),
|
||||
content_encoding: None,
|
||||
body: RequestBody::from_json(json!({
|
||||
"model": "gpt-5.4",
|
||||
"input": "This cancelled request has terminal upstream usage",
|
||||
"stream": true
|
||||
})),
|
||||
stream: true,
|
||||
client_api_format: "openai:responses".to_string(),
|
||||
provider_api_format: "openai:responses".to_string(),
|
||||
model_name: Some("gpt-5.4".to_string()),
|
||||
proxy: None,
|
||||
transport_profile: None,
|
||||
timeouts: None,
|
||||
};
|
||||
let mut standardized_usage = StandardizedUsage::new();
|
||||
standardized_usage.input_tokens = 13;
|
||||
standardized_usage.output_tokens = 21;
|
||||
standardized_usage.cache_creation_tokens = 2;
|
||||
standardized_usage.cache_read_tokens = 3;
|
||||
let payload = GatewayStreamReportRequest {
|
||||
trace_id: "trace-stream-cancelled-summary-usage-1".to_string(),
|
||||
report_kind: "openai_responses_stream_cancelled".to_string(),
|
||||
report_context: Some(json!({
|
||||
"client_api_format": "openai:responses",
|
||||
"provider_api_format": "openai:responses"
|
||||
})),
|
||||
status_code: 499,
|
||||
headers: BTreeMap::new(),
|
||||
provider_body_base64: None,
|
||||
provider_body_state: Some(UsageBodyCaptureState::None),
|
||||
client_body_base64: None,
|
||||
client_body_state: Some(UsageBodyCaptureState::None),
|
||||
terminal_summary: Some(ExecutionStreamTerminalSummary {
|
||||
standardized_usage: Some(standardized_usage),
|
||||
finish_reason: None,
|
||||
response_id: Some("resp_cancel_summary_1".to_string()),
|
||||
model: Some("gpt-5.4".to_string()),
|
||||
observed_finish: true,
|
||||
unknown_event_count: 0,
|
||||
parser_error: None,
|
||||
}),
|
||||
telemetry: None,
|
||||
};
|
||||
|
||||
let event =
|
||||
build_stream_terminal_usage_event(&plan, payload.report_context.as_ref(), &payload)
|
||||
.expect("usage event should build");
|
||||
|
||||
assert_eq!(event.event_type, UsageEventType::Cancelled);
|
||||
assert_eq!(event.data.input_tokens, Some(13));
|
||||
assert_eq!(event.data.output_tokens, Some(21));
|
||||
assert_eq!(event.data.total_tokens, Some(34));
|
||||
assert_eq!(event.data.cache_creation_input_tokens, Some(2));
|
||||
assert_eq!(event.data.cache_read_input_tokens, Some(3));
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -3970,6 +3783,69 @@ mod tests {
|
||||
assert!(event.data.client_response_body.is_none());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn stream_terminal_usage_marks_missing_observed_finish_as_failed() {
|
||||
let plan = ExecutionPlan {
|
||||
request_id: "req-stream-missing-finish-1".to_string(),
|
||||
candidate_id: Some("cand-stream-missing-finish-1".to_string()),
|
||||
provider_name: Some("OpenAI".to_string()),
|
||||
provider_id: "provider-1".to_string(),
|
||||
endpoint_id: "endpoint-1".to_string(),
|
||||
key_id: "key-1".to_string(),
|
||||
method: "POST".to_string(),
|
||||
url: "https://example.com/v1/responses".to_string(),
|
||||
headers: BTreeMap::new(),
|
||||
content_type: None,
|
||||
content_encoding: None,
|
||||
body: RequestBody {
|
||||
json_body: None,
|
||||
body_bytes_b64: None,
|
||||
body_ref: None,
|
||||
},
|
||||
stream: true,
|
||||
client_api_format: "openai:responses".to_string(),
|
||||
provider_api_format: "openai:responses".to_string(),
|
||||
model_name: Some("gpt-5.5".to_string()),
|
||||
proxy: None,
|
||||
transport_profile: None,
|
||||
timeouts: None,
|
||||
};
|
||||
let payload = GatewayStreamReportRequest {
|
||||
trace_id: "trace-stream-missing-finish-1".to_string(),
|
||||
report_kind: "openai_responses_stream_success".to_string(),
|
||||
report_context: Some(json!({
|
||||
"client_api_format": "openai:responses",
|
||||
"provider_api_format": "openai:responses"
|
||||
})),
|
||||
status_code: 200,
|
||||
headers: BTreeMap::new(),
|
||||
provider_body_base64: None,
|
||||
provider_body_state: Some(UsageBodyCaptureState::None),
|
||||
client_body_base64: None,
|
||||
client_body_state: Some(UsageBodyCaptureState::None),
|
||||
terminal_summary: Some(ExecutionStreamTerminalSummary {
|
||||
response_id: Some("resp_missing_finish".to_string()),
|
||||
model: Some("gpt-5.5".to_string()),
|
||||
observed_finish: false,
|
||||
..ExecutionStreamTerminalSummary::default()
|
||||
}),
|
||||
telemetry: None,
|
||||
};
|
||||
|
||||
let event =
|
||||
build_stream_terminal_usage_event(&plan, payload.report_context.as_ref(), &payload)
|
||||
.expect("usage event should build");
|
||||
|
||||
assert_eq!(event.event_type, UsageEventType::Failed);
|
||||
assert_eq!(event.data.status_code, Some(200));
|
||||
assert_eq!(
|
||||
event.data.error_category.as_deref(),
|
||||
Some("non_success_status")
|
||||
);
|
||||
assert_eq!(event.data.input_tokens, None);
|
||||
assert_eq!(event.data.output_tokens, None);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn completed_image_usage_estimates_request_tokens_when_provider_usage_is_missing() {
|
||||
let plan = ExecutionPlan {
|
||||
@@ -5079,6 +4955,7 @@ mod tests {
|
||||
..UsageRoutingSeed::default()
|
||||
},
|
||||
status_code: 200,
|
||||
terminal_error_message: None,
|
||||
response_time_ms: Some(123),
|
||||
first_byte_time_ms: Some(45),
|
||||
request_headers: Some(json!({
|
||||
|
||||
Reference in New Issue
Block a user