Merge origin/main into fix/gemini-cli-v1internal

This commit is contained in:
Mas0nShi
2026-05-28 11:58:00 +08:00
410 changed files with 38026 additions and 6621 deletions
@@ -42,7 +42,7 @@ use crate::clock::current_unix_ms;
use crate::dispatch::refs::dispatch_ref_for_local_candidate;
use crate::handlers::shared::provider_pool::admin_provider_pool_config_from_config_value;
use crate::orchestration::{local_attempt_slot_count, ExecutionAttemptIdentity};
use crate::scheduler::candidate::API_KEY_CONCURRENCY_LIMIT_SKIP_REASON;
use crate::scheduler::candidate::is_auth_api_key_concurrency_limit_skip_reason;
use crate::scheduler::config::SchedulerSchedulingMode;
use crate::{AppState, GatewayError};
@@ -988,7 +988,7 @@ fn page_is_exact_auth_api_key_concurrency_limited(
&& page
.skipped_candidates
.iter()
.all(|skipped| skipped.skip_reason == API_KEY_CONCURRENCY_LIMIT_SKIP_REASON)
.all(|skipped| is_auth_api_key_concurrency_limit_skip_reason(skipped.skip_reason))
}
async fn pop_attempt_from_items(
@@ -18,6 +18,7 @@ mod passthrough;
mod plan_builders;
mod pool_scheduler;
pub(crate) mod pool_scores;
mod redaction;
mod report_context;
mod route;
mod runtime_miss;
@@ -11,7 +11,8 @@ use crate::ai_serving::planner::materialization_policy::{
build_local_candidate_persistence_policy, LocalCandidatePersistencePolicyKind,
};
use crate::ai_serving::planner::report_context::{
build_local_execution_report_context, LocalExecutionReportContextParts,
build_local_execution_report_context, insert_native_client_envelope_name,
LocalExecutionReportContextParts,
};
use crate::ai_serving::planner::spec_metadata::local_same_format_provider_spec_metadata;
use crate::ai_serving::planner::CandidateFailureDiagnostic;
@@ -55,10 +56,15 @@ pub(crate) async fn maybe_build_local_same_format_provider_decision_payload_for_
let Some(resolved) = resolve_local_same_format_provider_candidate_payload_parts(
state, parts, trace_id, body_json, input, &attempt, spec,
)
.await
.await?
else {
return Ok(None);
};
let original_request_body_json = if resolved.request_redacted {
Some(&resolved.provider_request_body)
} else {
Some(body_json)
};
let prompt_cache_key = resolved
.provider_request_body
@@ -90,6 +96,11 @@ pub(crate) async fn maybe_build_local_same_format_provider_decision_payload_for_
"envelope_name".to_string(),
json!(super::super::ANTIGRAVITY_ENVELOPE_NAME),
);
insert_native_client_envelope_name(
&mut extra_fields,
super::super::ANTIGRAVITY_ENVELOPE_NAME,
parts.uri.path(),
);
} else if resolved.is_gemini_cli {
extra_fields.insert(
"envelope_name".to_string(),
@@ -129,7 +140,7 @@ pub(crate) async fn maybe_build_local_same_format_provider_decision_payload_for_
request_path: Some(parts.uri.path()),
request_query_string: parts.uri.query(),
request_origin: Some(crate::ai_serving::request_origin_from_parts(parts)),
original_request_body_json: Some(body_json),
original_request_body_json,
original_request_body_base64: None,
client_session_affinity: input.client_session_affinity.as_ref(),
scheduler_affinity_epoch: eligible.orchestration.scheduler_affinity_epoch,
@@ -164,6 +175,7 @@ pub(crate) async fn maybe_build_local_same_format_provider_decision_payload_for_
provider_request_headers,
provider_request_body,
transport_profile: _,
request_redacted: _,
} = resolved;
let mut decision = build_ai_execution_decision_response(AiExecutionDecisionResponseParts {
@@ -7,6 +7,9 @@ use serde_json::Value;
use crate::ai_serving::planner::common::{
enforce_provider_body_stream_policy, request_requires_body_stream_field,
};
use crate::ai_serving::planner::redaction::{
request_identity_response_encoding_when_redacted, resolve_provider_chat_pii_redaction,
};
use crate::ai_serving::transport::antigravity::{
build_antigravity_safe_v1internal_request, build_antigravity_static_identity_headers,
classify_local_antigravity_request_support, AntigravityEnvelopeRequestType,
@@ -16,11 +19,10 @@ use crate::ai_serving::transport::gemini_cli::resolve_gemini_cli_project_id;
use crate::ai_serving::transport::{
build_gemini_cli_v1internal_request, build_grok_browser_headers, build_grok_upstream_url,
build_same_format_provider_headers, GeminiCliRequestEnvelopeSupport, GrokHeaderInput,
SameFormatProviderHeadersInput, GEMINI_CLI_USER_AGENT, GEMINI_CLI_V1INTERNAL_ENVELOPE_NAME,
GROK_CHAT_PATH,
SameFormatProviderHeadersInput, GEMINI_CLI_USER_AGENT, GROK_CHAT_PATH,
};
use crate::ai_serving::{CandidateFailureDiagnostic, GatewayProviderTransportSnapshot};
use crate::AppState;
use crate::{AppState, GatewayError};
mod policy;
mod prepare;
@@ -103,6 +105,7 @@ pub(crate) struct LocalSameFormatProviderCandidatePayloadParts {
pub(super) provider_request_headers: BTreeMap<String, String>,
pub(super) provider_request_body: Value,
pub(super) transport_profile: Option<ResolvedTransportProfile>,
pub(super) request_redacted: bool,
}
pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
@@ -113,9 +116,9 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
input: &LocalSameFormatProviderDecisionInput,
attempt: &LocalSameFormatProviderCandidateAttempt,
spec: LocalSameFormatProviderSpec,
) -> Option<LocalSameFormatProviderCandidatePayloadParts> {
) -> Result<Option<LocalSameFormatProviderCandidatePayloadParts>, GatewayError> {
let candidate = &attempt.eligible.candidate;
let prepared = prepare_local_same_format_provider_candidate(
let Some(prepared) = prepare_local_same_format_provider_candidate(
state,
trace_id,
input,
@@ -124,7 +127,10 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
&attempt.candidate_id,
spec,
)
.await?;
.await
else {
return Ok(None);
};
let enable_model_directives =
crate::system_features::reasoning_model_directive_enabled_for_api_format_and_model(
state,
@@ -133,6 +139,16 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
)
.await;
let effective_headers = input.effective_headers(&parts.headers);
let redaction = resolve_provider_chat_pii_redaction(
state,
parts,
body_json,
&input.auth_context,
spec.api_format,
&attempt.candidate_id,
)
.await?;
let body_json = redaction.body_json.as_ref();
let mut transport = Arc::clone(&prepared.transport);
let Some(mut base_provider_request_body) =
@@ -170,7 +186,7 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
if let Some(mapping) =
crate::system_features::reasoning_model_directive_mapping_for_api_format_and_model(
@@ -216,7 +232,7 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
"transport_unsupported",
)
.await;
return None;
return Ok(None);
}
}
} else {
@@ -246,7 +262,7 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
"transport_auth_unavailable",
)
.await;
return None;
return Ok(None);
}
}
}
@@ -280,7 +296,7 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
}
} else if let Some(project_id) = gemini_cli_project_id.as_deref() {
@@ -308,7 +324,7 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
}
} else {
@@ -352,7 +368,7 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
let mut extra_headers = antigravity_auth
@@ -362,7 +378,7 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
if prepared.behavior.is_gemini_cli {
extra_headers.insert("user-agent".to_string(), GEMINI_CLI_USER_AGENT.to_string());
}
let Some(provider_request_headers) = (if is_grok {
let Some(mut provider_request_headers) = (if is_grok {
build_grok_browser_headers(GrokHeaderInput {
transport: &transport,
transport_profile: transport_profile.as_ref(),
@@ -406,10 +422,14 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
redaction.redacted,
);
Some(LocalSameFormatProviderCandidatePayloadParts {
Ok(Some(LocalSameFormatProviderCandidatePayloadParts {
transport,
is_antigravity: prepared.is_antigravity,
is_gemini_cli: prepared.behavior.is_gemini_cli,
@@ -424,5 +444,6 @@ pub(crate) async fn resolve_local_same_format_provider_candidate_payload_parts(
provider_request_headers,
provider_request_body,
transport_profile,
})
request_redacted: redaction.redacted,
}))
}
@@ -6,6 +6,7 @@ use aether_data_contracts::repository::provider_catalog::StoredProviderCatalogKe
use aether_pool_core::{
score_pool_member_with_rules, PoolMemberScoreInput, PoolMemberScoreRules, POOL_SCORE_VERSION,
};
use aether_scheduler_core::any_provider_key_circuit_open_at;
use serde_json::Value;
use crate::handlers::shared::{provider_key_health_summary, provider_key_status_snapshot_payload};
@@ -98,7 +99,8 @@ fn provider_key_score_input(
.as_object()
.and_then(|snapshot| snapshot.get("account"))
.and_then(Value::as_object);
let (health_score, _, _, any_circuit_open, _) = provider_key_health_summary(key);
let (health_score, _, _, _, _) = provider_key_health_summary(key);
let active_circuit_open = any_provider_key_circuit_open_at(key, now_unix_secs);
let health_score = key
.health_by_format
.as_ref()
@@ -125,7 +127,7 @@ fn provider_key_score_input(
.and_then(Value::as_bool)
.unwrap_or(false),
oauth_invalid_reason: key.oauth_invalid_reason.clone(),
circuit_open: any_circuit_open,
circuit_open: active_circuit_open,
success_count: key.success_count.unwrap_or(0).into(),
error_count: key.error_count.unwrap_or(0).into(),
total_response_time_ms: key.total_response_time_ms.unwrap_or(0).into(),
@@ -159,3 +161,70 @@ fn stable_hash(bytes: &[u8]) -> u64 {
}
hash
}
#[cfg(test)]
mod tests {
use super::*;
use aether_data_contracts::repository::pool_scores::PoolMemberHardState;
use serde_json::json;
fn sample_key_with_circuit_next_probe(
next_probe_at_unix_secs: u64,
) -> StoredProviderCatalogKey {
let mut key = StoredProviderCatalogKey::new(
"key-gemini-5".to_string(),
"provider-google-api".to_string(),
"5".to_string(),
"api_key".to_string(),
None,
true,
)
.expect("sample key should be valid");
key.health_by_format = Some(json!({
"gemini:generate_content": {
"health_score": 0.2,
"consecutive_failures": 8
}
}));
key.circuit_breaker_by_format = Some(json!({
"gemini:generate_content": {
"open": true,
"reason": "consecutive_failures_8",
"next_probe_at_unix_secs": next_probe_at_unix_secs
}
}));
key
}
#[test]
fn expired_circuit_probe_deadline_does_not_leave_pool_score_in_cooldown() {
let now_unix_secs = 1_000;
let key = sample_key_with_circuit_next_probe(900);
let score = build_provider_key_pool_score_upsert(
&key,
"custom",
None,
now_unix_secs,
PoolMemberScoreRules::default(),
);
assert_eq!(score.hard_state, PoolMemberHardState::Available);
}
#[test]
fn future_circuit_probe_deadline_keeps_pool_score_in_cooldown() {
let now_unix_secs = 1_000;
let key = sample_key_with_circuit_next_probe(1_100);
let score = build_provider_key_pool_score_upsert(
&key,
"custom",
None,
now_unix_secs,
PoolMemberScoreRules::default(),
);
assert_eq!(score.hard_state, PoolMemberHardState::Cooldown);
}
}
@@ -0,0 +1,192 @@
use std::borrow::Cow;
use std::time::{SystemTime, UNIX_EPOCH};
use serde_json::Value;
use tracing::warn;
use crate::ai_serving::ExecutionRuntimeAuthContext;
use crate::privacy::{
build_redaction_session_config, read_chat_pii_redaction_runtime_config,
try_mask_chat_pii_request_json_with_cache_options, ChatPiiRedactionRequestFormat,
MaskChatRequestOptions, RedactionMaskError, RedactionSessionSlot, RedisRedactionMappingCache,
};
use crate::{AppState, GatewayError};
pub(crate) struct ProviderRequestRedaction<'a> {
pub(crate) body_json: Cow<'a, Value>,
pub(crate) redacted: bool,
}
impl<'a> ProviderRequestRedaction<'a> {
fn disabled(body_json: &'a Value) -> Self {
Self {
body_json: Cow::Borrowed(body_json),
redacted: false,
}
}
}
#[derive(Clone, Copy, Debug, Default)]
struct ChatPiiRedactionFeatureSettings {
enabled: Option<bool>,
inject_model_instruction: Option<bool>,
}
impl ChatPiiRedactionFeatureSettings {
fn merge_from_value(&mut self, value: Option<&Value>) {
let Some(settings) = value
.and_then(Value::as_object)
.and_then(|features| features.get("chat_pii_redaction"))
.and_then(Value::as_object)
else {
return;
};
if let Some(enabled) = settings.get("enabled").and_then(Value::as_bool) {
self.enabled = Some(enabled);
}
if let Some(inject_model_instruction) = settings
.get("inject_model_instruction")
.and_then(Value::as_bool)
{
self.inject_model_instruction = Some(inject_model_instruction);
}
}
fn effective_enabled(self) -> bool {
self.enabled.unwrap_or(false)
}
fn effective_inject_model_instruction(self) -> bool {
self.inject_model_instruction.unwrap_or(true)
}
}
pub(crate) fn request_identity_response_encoding_when_redacted(
headers: &mut std::collections::BTreeMap<String, String>,
redacted: bool,
) {
if redacted {
headers.insert("accept-encoding".to_string(), "identity".to_string());
}
}
pub(crate) async fn resolve_provider_chat_pii_redaction<'a>(
state: &AppState,
parts: &http::request::Parts,
body_json: &'a Value,
auth_context: &ExecutionRuntimeAuthContext,
client_api_format: &str,
candidate_id: &str,
) -> Result<ProviderRequestRedaction<'a>, GatewayError> {
let Some(format) = ChatPiiRedactionRequestFormat::from_api_format(client_api_format) else {
return Ok(ProviderRequestRedaction::disabled(body_json));
};
let Some(slot) = parts.extensions.get::<RedactionSessionSlot>() else {
return Ok(ProviderRequestRedaction::disabled(body_json));
};
let runtime_config = read_chat_pii_redaction_runtime_config(state)
.await
.map_err(|err| {
warn!(
error = ?err,
"gateway failed to read chat pii redaction runtime config"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
if !runtime_config.enabled {
return Ok(ProviderRequestRedaction::disabled(body_json));
}
let feature_settings = resolve_chat_pii_redaction_feature_settings(state, auth_context).await?;
if !feature_settings.effective_enabled() {
return Ok(ProviderRequestRedaction::disabled(body_json));
}
let Some(hmac_key) = state.encryption_key().map(str::as_bytes).map(Vec::from) else {
warn!("gateway chat pii redaction is enabled but encryption key is unavailable");
return Err(GatewayError::Internal(
"chat pii redaction setup failed".to_string(),
));
};
let body_bytes = serde_json::to_vec(body_json).map_err(|err| {
warn!(
error = ?err,
"gateway failed to serialize provider chat pii redaction body"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
let now_unix_secs = SystemTime::now()
.duration_since(UNIX_EPOCH)
.unwrap_or_default()
.as_secs();
let cache = RedisRedactionMappingCache::new(state.runtime_state.as_ref());
let masked = try_mask_chat_pii_request_json_with_cache_options(
&body_bytes,
format,
build_redaction_session_config(hmac_key, &runtime_config, now_unix_secs),
MaskChatRequestOptions::runtime(feature_settings.effective_inject_model_instruction()),
Some(&cache),
)
.await
.map_err(redaction_mask_error_to_gateway_error)?;
if !masked.redacted {
return Ok(ProviderRequestRedaction {
body_json: Cow::Borrowed(body_json),
redacted: false,
});
}
let masked_body_json = serde_json::from_slice::<Value>(&masked.body).map_err(|err| {
warn!(
error = ?err,
"gateway failed to decode redacted provider chat pii body"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
slot.put_for_candidate(candidate_id, masked.session);
Ok(ProviderRequestRedaction {
body_json: Cow::Owned(masked_body_json),
redacted: true,
})
}
async fn resolve_chat_pii_redaction_feature_settings(
state: &AppState,
auth_context: &ExecutionRuntimeAuthContext,
) -> Result<ChatPiiRedactionFeatureSettings, GatewayError> {
let user_settings = state
.read_user_feature_settings(&auth_context.user_id)
.await
.map_err(|err| {
warn!(
error = ?err,
"gateway failed to read user chat pii redaction feature settings"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
let key_settings = state
.read_auth_api_key_feature_settings(
&auth_context.user_id,
&auth_context.api_key_id,
auth_context.api_key_is_standalone,
)
.await
.map_err(|err| {
warn!(
error = ?err,
"gateway failed to read api key chat pii redaction feature settings"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
let mut settings = ChatPiiRedactionFeatureSettings::default();
settings.merge_from_value(user_settings.as_ref());
settings.merge_from_value(key_settings.as_ref());
Ok(settings)
}
fn redaction_mask_error_to_gateway_error(error: RedactionMaskError) -> GatewayError {
match error {
RedactionMaskError::Limit(limit) => GatewayError::Client {
status: limit.client_status(),
message: limit.safe_message().to_string(),
},
}
}
@@ -198,6 +198,21 @@ pub(crate) fn insert_provider_stream_event_api_format(
insert_ai_provider_stream_event_api_format(extra_fields, provider_type);
}
pub(crate) fn insert_native_client_envelope_name(
extra_fields: &mut Map<String, Value>,
envelope_name: &str,
request_path: &str,
) {
if envelope_name.eq_ignore_ascii_case("antigravity:v1internal")
&& request_path == "/v1internal:streamGenerateContent"
{
extra_fields.insert(
"client_envelope_name".to_string(),
Value::String(envelope_name.to_string()),
);
}
}
fn merge_incoming_tls_fingerprint(extra_fields: &mut Map<String, Value>, incoming_tls: Value) {
let entry = extra_fields
.entry("tls_fingerprint".to_string())
@@ -0,0 +1,386 @@
use serde_json::{json, Value};
pub(crate) fn is_deepseek_provider(provider_type: &str, base_url: &str) -> bool {
let provider_type = provider_type.trim().to_ascii_lowercase();
if matches!(
provider_type.as_str(),
"deepseek" | "deepseek_openai" | "deepseek_anthropic" | "deepseek_compatible"
) {
return true;
}
let host = base_url_host(base_url);
host == "deepseek.com" || host.ends_with(".deepseek.com")
}
pub(crate) fn apply_deepseek_tool_call_thinking_compat(
provider_request_body: &mut Value,
provider_type: &str,
base_url: &str,
provider_api_format: &str,
original_request_body: Option<&Value>,
) {
if !is_deepseek_provider(provider_type, base_url) {
return;
}
match crate::ai_serving::normalize_api_format_alias(provider_api_format).as_str() {
"openai:chat" => {
apply_deepseek_openai_chat_thinking_compat(provider_request_body, original_request_body)
}
"claude:messages" => apply_deepseek_claude_messages_thinking_compat(
provider_request_body,
original_request_body,
),
_ => {}
}
}
fn base_url_host(base_url: &str) -> String {
let lower = base_url.trim().to_ascii_lowercase();
let without_scheme = lower
.split_once("://")
.map(|(_, rest)| rest)
.unwrap_or(lower.as_str());
let without_userinfo = without_scheme
.rsplit_once('@')
.map(|(_, host)| host)
.unwrap_or(without_scheme);
without_userinfo
.split(['/', '?', '#'])
.next()
.unwrap_or_default()
.split(':')
.next()
.unwrap_or_default()
.to_string()
}
fn source_disables_thinking(
original_request_body: Option<&Value>,
provider_request_body: &Value,
) -> bool {
request_explicitly_disables_thinking(provider_request_body)
|| original_request_body.is_some_and(request_explicitly_disables_thinking)
}
fn request_explicitly_disables_thinking(body: &Value) -> bool {
thinking_type(body).is_some_and(|value| value.eq_ignore_ascii_case("disabled"))
|| reasoning_effort(body).is_some_and(|value| value.eq_ignore_ascii_case("none"))
}
fn thinking_type(body: &Value) -> Option<&str> {
body.get("thinking")
.and_then(Value::as_object)
.and_then(|thinking| thinking.get("type"))
.and_then(Value::as_str)
.map(str::trim)
.filter(|value| !value.is_empty())
}
fn reasoning_effort(body: &Value) -> Option<&str> {
body.get("reasoning_effort")
.and_then(Value::as_str)
.or_else(|| {
body.get("reasoning")
.and_then(Value::as_object)
.and_then(|reasoning| reasoning.get("effort"))
.and_then(Value::as_str)
})
.map(str::trim)
.filter(|value| !value.is_empty())
}
fn set_deepseek_thinking_type(body: &mut Value, thinking_type: &str) {
let Some(object) = body.as_object_mut() else {
return;
};
match object.get_mut("thinking") {
Some(Value::Object(thinking)) => {
thinking.insert("type".to_string(), Value::String(thinking_type.to_string()));
}
_ => {
object.insert(
"thinking".to_string(),
json!({
"type": thinking_type,
}),
);
}
}
}
fn apply_deepseek_openai_chat_thinking_compat(
provider_request_body: &mut Value,
original_request_body: Option<&Value>,
) {
let disabled = source_disables_thinking(original_request_body, provider_request_body);
set_deepseek_thinking_type(
provider_request_body,
if disabled { "disabled" } else { "enabled" },
);
let Some(object) = provider_request_body.as_object_mut() else {
return;
};
if disabled {
if reasoning_effort(&Value::Object(object.clone()))
.is_some_and(|value| value.eq_ignore_ascii_case("none"))
{
object.remove("reasoning_effort");
}
return;
}
let Some(messages) = object.get_mut("messages").and_then(Value::as_array_mut) else {
return;
};
for message in messages {
let Some(message_object) = message.as_object_mut() else {
continue;
};
let is_assistant = message_object
.get("role")
.and_then(Value::as_str)
.is_some_and(|role| role.trim().eq_ignore_ascii_case("assistant"));
if !is_assistant {
continue;
}
if message_object
.get("reasoning_content")
.is_some_and(|value| !value.is_null())
{
continue;
}
message_object.insert(
"reasoning_content".to_string(),
Value::String(String::new()),
);
}
}
fn apply_deepseek_claude_messages_thinking_compat(
provider_request_body: &mut Value,
original_request_body: Option<&Value>,
) {
if source_disables_thinking(original_request_body, provider_request_body) {
set_deepseek_thinking_type(provider_request_body, "disabled");
return;
}
let Some(messages) = provider_request_body
.get_mut("messages")
.and_then(Value::as_array_mut)
else {
return;
};
for message in messages {
let Some(message_object) = message.as_object_mut() else {
continue;
};
let is_assistant = message_object
.get("role")
.and_then(Value::as_str)
.is_some_and(|role| role.trim().eq_ignore_ascii_case("assistant"));
if !is_assistant {
continue;
}
ensure_claude_assistant_message_has_thinking_block(message_object);
}
}
fn ensure_claude_assistant_message_has_thinking_block(
message: &mut serde_json::Map<String, Value>,
) {
let thinking_block = json!({
"type": "thinking",
"thinking": "",
});
match message.get_mut("content") {
Some(Value::Array(blocks)) => {
if blocks.iter().any(is_claude_thinking_block) {
return;
}
blocks.insert(0, thinking_block);
}
Some(Value::String(text)) => {
let text = std::mem::take(text);
message.insert(
"content".to_string(),
Value::Array(vec![
thinking_block,
json!({
"type": "text",
"text": text,
}),
]),
);
}
Some(Value::Null) | None => {
message.insert("content".to_string(), Value::Array(vec![thinking_block]));
}
Some(other) => {
let existing = std::mem::take(other);
message.insert(
"content".to_string(),
Value::Array(vec![thinking_block, existing]),
);
}
}
}
fn is_claude_thinking_block(block: &Value) -> bool {
block
.get("type")
.and_then(Value::as_str)
.is_some_and(|block_type| block_type.trim().eq_ignore_ascii_case("thinking"))
}
#[cfg(test)]
mod tests {
use serde_json::json;
use super::{apply_deepseek_tool_call_thinking_compat, is_deepseek_provider};
#[test]
fn detects_deepseek_provider_by_type_or_host() {
assert!(is_deepseek_provider(
"deepseek",
"https://relay.example.com"
));
assert!(is_deepseek_provider(
"custom",
"https://api.deepseek.com/v1"
));
assert!(!is_deepseek_provider(
"custom",
"https://example.com/deepseek"
));
}
#[test]
fn openai_chat_deepseek_adds_thinking_and_empty_reasoning_content() {
let mut body = json!({
"model": "deepseek-chat",
"messages": [
{"role": "user", "content": "hi"},
{"role": "assistant", "content": null, "tool_calls": [{
"id": "call_1",
"type": "function",
"function": {"name": "lookup", "arguments": "{}"}
}]},
{"role": "tool", "tool_call_id": "call_1", "content": "{}"}
]
});
apply_deepseek_tool_call_thinking_compat(
&mut body,
"deepseek",
"https://api.deepseek.com/v1",
"openai:chat",
None,
);
assert_eq!(body["thinking"]["type"], "enabled");
assert_eq!(body["messages"][1]["reasoning_content"], "");
}
#[test]
fn openai_chat_deepseek_honors_disabled_thinking() {
let original = json!({"reasoning_effort": "none"});
let mut body = json!({
"model": "deepseek-chat",
"reasoning_effort": "none",
"messages": [
{"role": "assistant", "content": "hi"}
]
});
apply_deepseek_tool_call_thinking_compat(
&mut body,
"deepseek",
"https://api.deepseek.com/v1",
"openai:chat",
Some(&original),
);
assert_eq!(body["thinking"]["type"], "disabled");
assert!(body.get("reasoning_effort").is_none());
assert!(body["messages"][0].get("reasoning_content").is_none());
}
#[test]
fn claude_messages_deepseek_prepends_empty_thinking_block() {
let mut body = json!({
"model": "deepseek-3.2",
"messages": [
{"role": "user", "content": "hi"},
{"role": "assistant", "content": [
{"type": "tool_use", "id": "call_1", "name": "lookup", "input": {}}
]}
]
});
apply_deepseek_tool_call_thinking_compat(
&mut body,
"deepseek",
"https://api.deepseek.com",
"claude:messages",
None,
);
assert_eq!(body["messages"][1]["content"][0]["type"], "thinking");
assert_eq!(body["messages"][1]["content"][0]["thinking"], "");
assert_eq!(body["messages"][1]["content"][1]["type"], "tool_use");
}
#[test]
fn claude_messages_deepseek_converts_string_assistant_content_to_blocks() {
let mut body = json!({
"model": "deepseek-3.2",
"messages": [{
"role": "assistant",
"content": "done"
}]
});
apply_deepseek_tool_call_thinking_compat(
&mut body,
"deepseek",
"https://api.deepseek.com",
"claude:messages",
None,
);
assert_eq!(body["messages"][0]["content"][0]["type"], "thinking");
assert_eq!(body["messages"][0]["content"][1]["type"], "text");
assert_eq!(body["messages"][0]["content"][1]["text"], "done");
}
#[test]
fn claude_messages_deepseek_preserves_existing_thinking_block() {
let mut body = json!({
"model": "deepseek-3.2",
"messages": [{
"role": "assistant",
"content": [
{"type": "thinking", "thinking": "plan", "signature": "sig"},
{"type": "text", "text": "answer"}
]
}]
});
apply_deepseek_tool_call_thinking_compat(
&mut body,
"deepseek",
"https://api.deepseek.com",
"claude:messages",
None,
);
assert_eq!(body["messages"][0]["content"].as_array().unwrap().len(), 2);
assert_eq!(body["messages"][0]["content"][0]["thinking"], "plan");
assert_eq!(body["messages"][0]["content"][0]["signature"], "sig");
}
}
@@ -9,7 +9,8 @@ use crate::ai_serving::planner::materialization_policy::{
};
use crate::ai_serving::planner::passthrough::maybe_build_local_same_format_provider_decision_payload_for_candidate;
use crate::ai_serving::planner::report_context::{
build_local_execution_report_context, LocalExecutionReportContextParts,
build_local_execution_report_context, insert_native_client_envelope_name,
LocalExecutionReportContextParts,
};
use crate::ai_serving::planner::spec_metadata::local_standard_spec_metadata;
use crate::ai_serving::planner::CandidateFailureDiagnostic;
@@ -74,10 +75,15 @@ pub(super) async fn maybe_build_local_standard_decision_payload_for_candidate(
let Some(resolved) = resolve_local_standard_candidate_payload_parts(
state, parts, trace_id, body_json, input, &attempt, spec,
)
.await
.await?
else {
return Ok(None);
};
let original_request_body_json = if resolved.request_redacted {
Some(&resolved.provider_request_body)
} else {
Some(body_json)
};
let proxy = state
.resolve_transport_proxy_snapshot_with_tunnel_affinity(&resolved.transport)
.await;
@@ -92,6 +98,7 @@ pub(super) async fn maybe_build_local_standard_decision_payload_for_candidate(
"envelope_name".to_string(),
serde_json::Value::String(envelope_name.to_string()),
);
insert_native_client_envelope_name(&mut extra_fields, envelope_name, parts.uri.path());
}
let (execution_strategy, conversion_mode) = ai_local_execution_contract_for_formats(
spec_metadata.api_format,
@@ -129,7 +136,7 @@ pub(super) async fn maybe_build_local_standard_decision_payload_for_candidate(
request_path: Some(parts.uri.path()),
request_query_string: parts.uri.query(),
request_origin: Some(crate::ai_serving::request_origin_from_parts(parts)),
original_request_body_json: Some(body_json),
original_request_body_json,
original_request_body_base64: None,
client_session_affinity: input.client_session_affinity.as_ref(),
scheduler_affinity_epoch: eligible.orchestration.scheduler_affinity_epoch,
@@ -166,6 +173,7 @@ pub(super) async fn maybe_build_local_standard_decision_payload_for_candidate(
envelope_name: _,
transport,
transport_profile: _,
request_redacted: _,
} = resolved;
let mut decision = build_ai_execution_decision_response(AiExecutionDecisionResponseParts {
@@ -16,9 +16,13 @@ use crate::ai_serving::planner::gemini_cli::{
build_gemini_cli_v1internal_provider_request, GeminiCliV1InternalRequestError,
GeminiCliV1InternalRequestInput,
};
use crate::ai_serving::planner::redaction::{
request_identity_response_encoding_when_redacted, resolve_provider_chat_pii_redaction,
};
use crate::ai_serving::planner::spec_metadata::local_standard_spec_metadata;
use crate::ai_serving::planner::standard::{
apply_codex_openai_responses_special_headers, request_body_build_failure_extra_data,
apply_codex_openai_responses_special_headers, apply_deepseek_tool_call_thinking_compat,
is_deepseek_provider, request_body_build_failure_extra_data,
};
use crate::ai_serving::transport::kiro::{
build_kiro_provider_headers, build_kiro_provider_request_body,
@@ -41,7 +45,7 @@ use crate::ai_serving::{
build_openai_image_request_body_from_gemini_image_request, gemini_request_is_image_generation,
CandidateFailureDiagnostic, GatewayProviderTransportSnapshot, LocalResolvedOAuthRequestAuth,
};
use crate::AppState;
use crate::{AppState, GatewayError};
use super::payload::{
mark_skipped_local_standard_candidate, mark_skipped_local_standard_candidate_with_extra_data,
@@ -49,6 +53,8 @@ use super::payload::{
};
use super::{LocalStandardCandidateAttempt, LocalStandardDecisionInput, LocalStandardSpec};
const OMITTED_THINKING_TEXT: &str = "Previous thinking omitted.";
pub(crate) struct LocalStandardCandidatePayloadParts {
pub(super) auth_header: String,
pub(super) auth_value: String,
@@ -61,6 +67,7 @@ pub(crate) struct LocalStandardCandidatePayloadParts {
pub(super) envelope_name: Option<&'static str>,
pub(super) transport: Arc<GatewayProviderTransportSnapshot>,
pub(super) transport_profile: Option<ResolvedTransportProfile>,
pub(super) request_redacted: bool,
}
fn is_grok_text_provider_api_format(provider_api_format: &str) -> bool {
@@ -119,8 +126,6 @@ fn sanitize_claude_thinking_block(block: Value) -> (Option<Value>, bool) {
}
fn sanitize_claude_message_content_for_non_native_thinking(content: &mut Value) -> bool {
const OMITTED_THINKING_TEXT: &str = "Previous thinking omitted.";
if content.is_object() {
let original = std::mem::take(content);
let (sanitized, changed) = sanitize_claude_thinking_block(original);
@@ -180,6 +185,81 @@ fn sanitize_claude_request_thinking_signatures_for_non_native(body_json: &mut Va
.unwrap_or(false)
}
fn remove_claude_redacted_thinking_block(block: Value) -> (Option<Value>, bool) {
let Some(object) = block.as_object() else {
return (Some(block), false);
};
let block_type = object
.get("type")
.and_then(Value::as_str)
.map(str::trim)
.unwrap_or_default();
if block_type == "redacted_thinking" {
return (None, true);
}
(Some(block), false)
}
fn sanitize_claude_message_content_for_deepseek_thinking(content: &mut Value) -> bool {
if content.is_object() {
let original = std::mem::take(content);
let (sanitized, changed) = remove_claude_redacted_thinking_block(original);
if changed {
*content = sanitized.unwrap_or_else(|| {
serde_json::json!({
"type": "text",
"text": OMITTED_THINKING_TEXT,
})
});
}
return changed;
}
let Some(blocks) = content.as_array_mut() else {
return false;
};
let original_blocks = std::mem::take(blocks);
let mut changed = false;
let mut sanitized_blocks = Vec::with_capacity(original_blocks.len());
for block in original_blocks {
let (sanitized, block_changed) = remove_claude_redacted_thinking_block(block);
changed |= block_changed;
if let Some(sanitized) = sanitized {
sanitized_blocks.push(sanitized);
}
}
if changed && sanitized_blocks.is_empty() {
sanitized_blocks.push(serde_json::json!({
"type": "text",
"text": OMITTED_THINKING_TEXT,
}));
}
*blocks = sanitized_blocks;
changed
}
fn sanitize_claude_request_redacted_thinking_for_deepseek(body_json: &mut Value) -> bool {
body_json
.get_mut("messages")
.and_then(Value::as_array_mut)
.map(|messages| {
messages.iter_mut().fold(false, |changed, message| {
let is_assistant = message
.get("role")
.and_then(Value::as_str)
.is_some_and(|role| role.trim().eq_ignore_ascii_case("assistant"));
if !is_assistant {
return changed;
}
let content_changed = message
.get_mut("content")
.is_some_and(sanitize_claude_message_content_for_deepseek_thinking);
changed || content_changed
})
})
.unwrap_or(false)
}
fn apply_non_native_claude_thinking_signature_compat(
provider_request_body: &mut Value,
provider_api_format: &str,
@@ -188,6 +268,13 @@ fn apply_non_native_claude_thinking_signature_compat(
if crate::ai_serving::normalize_api_format_alias(provider_api_format) != "claude:messages" {
return;
}
if is_deepseek_provider(
transport.provider.provider_type.as_str(),
transport.endpoint.base_url.as_str(),
) {
let _ = sanitize_claude_request_redacted_thinking_for_deepseek(provider_request_body);
return;
}
if provider_preserves_claude_thinking_signatures(
transport.provider.provider_type.as_str(),
transport.endpoint.base_url.as_str(),
@@ -206,7 +293,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
input: &LocalStandardDecisionInput,
attempt: &LocalStandardCandidateAttempt,
spec: LocalStandardSpec,
) -> Option<LocalStandardCandidatePayloadParts> {
) -> Result<Option<LocalStandardCandidatePayloadParts>, GatewayError> {
let spec_metadata = local_standard_spec_metadata(spec);
let planner_state = crate::ai_serving::PlannerAppState::new(state);
let candidate = &attempt.eligible.candidate;
@@ -223,10 +310,12 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
&& provider_api_format == "openai:image"
&& gemini_request_is_image_generation(body_json)
{
return resolve_local_gemini_image_to_openai_image_candidate_payload_parts(
state, parts, trace_id, body_json, input, attempt,
)
.await;
return Ok(
resolve_local_gemini_image_to_openai_image_candidate_payload_parts(
state, parts, trace_id, body_json, input, attempt,
)
.await,
);
}
let is_kiro_claude_cli = is_kiro_claude_messages_transport(transport, provider_api_format);
if is_grok && is_grok_text_provider_api_format(provider_api_format) {
@@ -255,10 +344,21 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
skip_reason,
)
.await;
return None;
return Ok(None);
}
};
let redaction = resolve_provider_chat_pii_redaction(
state,
parts,
body_json,
&input.auth_context,
spec_metadata.api_format,
&attempt.candidate_id,
)
.await?;
let body_json = redaction.body_json.as_ref();
let mut provider_request_body = body_json.clone();
if let Some(object) = provider_request_body.as_object_mut() {
object.insert(
@@ -284,7 +384,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
);
let upstream_url = build_grok_upstream_url(transport, GROK_CHAT_PATH);
let Some(provider_request_headers) = build_grok_browser_headers(GrokHeaderInput {
let Some(mut provider_request_headers) = build_grok_browser_headers(GrokHeaderInput {
transport,
transport_profile: transport_profile.as_ref(),
request_headers: Some(effective_headers),
@@ -309,10 +409,14 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
redaction.redacted,
);
return Some(LocalStandardCandidatePayloadParts {
return Ok(Some(LocalStandardCandidatePayloadParts {
auth_header: prepared_candidate.auth_header,
auth_value: prepared_candidate.auth_value,
mapped_model: prepared_candidate.mapped_model,
@@ -324,7 +428,8 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
envelope_name: None,
transport: Arc::clone(transport),
transport_profile,
});
request_redacted: redaction.redacted,
}));
}
if !crate::ai_serving::request_pair_allowed_for_transport(
@@ -332,7 +437,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
spec_metadata.api_format,
provider_api_format,
) {
return None;
return Ok(None);
}
let is_windsurf_cascade =
@@ -357,7 +462,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
skip_reason,
)
.await;
return None;
return Ok(None);
}
let oauth_context = OauthPreparationContext {
@@ -385,7 +490,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
"transport_auth_unavailable",
)
.await;
return None;
return Ok(None);
}
}
} else {
@@ -410,7 +515,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
skip_reason,
)
.await;
return None;
return Ok(None);
}
}
} else {
@@ -435,7 +540,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
skip_reason,
)
.await;
return None;
return Ok(None);
}
}
};
@@ -456,6 +561,16 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
Some(&input.requested_model),
)
.await;
let redaction = resolve_provider_chat_pii_redaction(
state,
parts,
body_json,
&input.auth_context,
spec_metadata.api_format,
&attempt.candidate_id,
)
.await?;
let body_json = redaction.body_json.as_ref();
let mut provider_request_body =
match crate::ai_serving::planner::standard::build_standard_request_body_with_model_directives_and_request_headers(
body_json,
@@ -491,7 +606,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
};
enforce_provider_body_stream_policy(
@@ -521,13 +636,20 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
apply_non_native_claude_thinking_signature_compat(
&mut provider_request_body,
provider_api_format,
transport,
);
apply_deepseek_tool_call_thinking_compat(
&mut provider_request_body,
transport.provider.provider_type.as_str(),
transport.endpoint.base_url.as_str(),
provider_api_format,
Some(body_json),
);
if let Some(mapping) =
crate::system_features::reasoning_model_directive_mapping_for_api_format_and_model(
state,
@@ -569,17 +691,24 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
apply_non_native_claude_thinking_signature_compat(
&mut provider_request_body,
provider_api_format,
transport,
);
apply_deepseek_tool_call_thinking_compat(
&mut provider_request_body,
transport.provider.provider_type.as_str(),
transport.endpoint.base_url.as_str(),
provider_api_format,
Some(body_json),
);
}
if let Some(kiro_auth) = kiro_auth.as_ref() {
return build_kiro_cross_format_payload_parts(
return Ok(build_kiro_cross_format_payload_parts(
state,
parts,
trace_id,
@@ -594,11 +723,12 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
provider_request_body,
upstream_is_stream,
kiro_auth,
redaction.redacted,
)
.await;
.await);
}
if is_windsurf_cascade {
return build_windsurf_cross_format_payload_parts(
return Ok(build_windsurf_cross_format_payload_parts(
state,
parts,
trace_id,
@@ -612,8 +742,9 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
prepared_candidate.auth_value,
provider_request_body,
upstream_is_stream,
redaction.redacted,
)
.await;
.await);
}
let normalized_provider_api_format =
@@ -621,7 +752,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
if normalized_provider_api_format == "gemini:generate_content"
&& is_gemini_cli_provider_transport(transport)
{
return build_gemini_cli_cross_format_payload_parts(
return Ok(build_gemini_cli_cross_format_payload_parts(
state,
parts,
trace_id,
@@ -636,8 +767,9 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
prepared_candidate.auth_value,
provider_request_body,
upstream_is_stream,
redaction.redacted,
)
.await;
.await);
}
let upstream_url = match crate::ai_serving::planner::standard::build_standard_upstream_url(
@@ -665,7 +797,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
};
let Some(resolved_headers) =
@@ -698,7 +830,7 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
let mut provider_request_headers = resolved_headers.headers;
apply_codex_openai_responses_special_headers(
@@ -710,8 +842,12 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
Some(trace_id),
transport.key.decrypted_auth_config.as_deref(),
);
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
redaction.redacted,
);
Some(LocalStandardCandidatePayloadParts {
Ok(Some(LocalStandardCandidatePayloadParts {
auth_header: resolved_headers.auth_header,
auth_value: resolved_headers.auth_value,
mapped_model: prepared_candidate.mapped_model,
@@ -723,7 +859,8 @@ pub(crate) async fn resolve_local_standard_candidate_payload_parts(
envelope_name: None,
transport: Arc::clone(transport),
transport_profile: None,
})
request_redacted: redaction.redacted,
}))
}
fn apply_transport_request_body_semantics(
@@ -754,6 +891,7 @@ async fn build_gemini_cli_cross_format_payload_parts(
auth_value: String,
gemini_request_body: Value,
upstream_is_stream: bool,
request_redacted: bool,
) -> Option<LocalStandardCandidatePayloadParts> {
let candidate = &attempt.eligible.candidate;
let effective_headers = input.effective_headers(&parts.headers);
@@ -854,6 +992,10 @@ async fn build_gemini_cli_cross_format_payload_parts(
Some(trace_id),
resolved.transport.key.decrypted_auth_config.as_deref(),
);
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
request_redacted,
);
Some(LocalStandardCandidatePayloadParts {
auth_header: resolved.headers.auth_header,
@@ -867,6 +1009,7 @@ async fn build_gemini_cli_cross_format_payload_parts(
envelope_name: Some(GEMINI_CLI_V1INTERNAL_ENVELOPE_NAME),
transport: resolved.transport,
transport_profile: None,
request_redacted,
})
}
@@ -885,6 +1028,7 @@ async fn build_windsurf_cross_format_payload_parts(
auth_value: String,
openai_chat_request_body: Value,
upstream_is_stream: bool,
request_redacted: bool,
) -> Option<LocalStandardCandidatePayloadParts> {
let candidate = &attempt.eligible.candidate;
let effective_headers = input.effective_headers(&parts.headers);
@@ -940,7 +1084,7 @@ async fn build_windsurf_cross_format_payload_parts(
return None;
}
};
let provider_request_headers = match build_windsurf_cascade_headers(
let mut provider_request_headers = match build_windsurf_cascade_headers(
effective_headers,
&provider_request_body,
original_body_json,
@@ -969,6 +1113,10 @@ async fn build_windsurf_cross_format_payload_parts(
return None;
}
};
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
request_redacted,
);
Some(LocalStandardCandidatePayloadParts {
auth_header,
@@ -982,6 +1130,7 @@ async fn build_windsurf_cross_format_payload_parts(
envelope_name: Some(WINDSURF_ENVELOPE_NAME),
transport: Arc::clone(transport),
transport_profile: None,
request_redacted,
})
}
@@ -1120,6 +1269,7 @@ async fn resolve_local_gemini_image_to_openai_image_candidate_payload_parts(
envelope_name: None,
transport: Arc::clone(transport),
transport_profile: None,
request_redacted: false,
})
}
@@ -1139,6 +1289,7 @@ async fn build_kiro_cross_format_payload_parts(
claude_request_body: Value,
upstream_is_stream: bool,
kiro_auth: &KiroRequestAuth,
request_redacted: bool,
) -> Option<LocalStandardCandidatePayloadParts> {
let candidate = &attempt.eligible.candidate;
let effective_headers = input.effective_headers(&parts.headers);
@@ -1197,7 +1348,7 @@ async fn build_kiro_cross_format_payload_parts(
return None;
}
};
let provider_request_headers = match build_kiro_provider_headers(KiroProviderHeadersInput {
let mut provider_request_headers = match build_kiro_provider_headers(KiroProviderHeadersInput {
headers: effective_headers,
provider_request_body: &provider_request_body,
original_request_body: original_body_json,
@@ -1227,6 +1378,10 @@ async fn build_kiro_cross_format_payload_parts(
return None;
}
};
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
request_redacted,
);
Some(LocalStandardCandidatePayloadParts {
auth_header,
@@ -1240,6 +1395,7 @@ async fn build_kiro_cross_format_payload_parts(
envelope_name: Some(KIRO_ENVELOPE_NAME),
transport: Arc::clone(transport),
transport_profile: None,
request_redacted,
})
}
@@ -1247,6 +1403,7 @@ async fn build_kiro_cross_format_payload_parts(
mod tests {
use super::{
provider_preserves_claude_thinking_signatures,
sanitize_claude_request_redacted_thinking_for_deepseek,
sanitize_claude_request_thinking_signatures_for_non_native,
};
use serde_json::json;
@@ -1310,6 +1467,46 @@ mod tests {
);
}
#[test]
fn deepseek_sanitizer_preserves_plain_thinking_but_removes_redacted() {
let mut body = json!({
"model": "claude-opus-4-1",
"messages": [{
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "I should keep this short.",
"signature": "sig_123"
},
{
"type": "redacted_thinking",
"data": "opaque"
},
{
"type": "text",
"text": "Done."
}
]
}]
});
assert!(sanitize_claude_request_redacted_thinking_for_deepseek(
&mut body
));
assert_eq!(body["messages"][0]["content"].as_array().unwrap().len(), 2);
assert_eq!(body["messages"][0]["content"][0]["type"], json!("thinking"));
assert_eq!(
body["messages"][0]["content"][0]["thinking"],
json!("I should keep this short.")
);
assert_eq!(
body["messages"][0]["content"][0]["signature"],
json!("sig_123")
);
assert_eq!(body["messages"][0]["content"][1]["text"], json!("Done."));
}
#[test]
fn official_claude_providers_preserve_thinking_signatures() {
assert!(provider_preserves_claude_thinking_signatures(
@@ -1328,6 +1525,14 @@ mod tests {
"amazon_bedrock",
"https://relay.example.com"
));
assert!(!provider_preserves_claude_thinking_signatures(
"deepseek",
"https://relay.example.com"
));
assert!(!provider_preserves_claude_thinking_signatures(
"custom",
"https://api.deepseek.com"
));
assert!(!provider_preserves_claude_thinking_signatures(
"openai",
"https://relay.example.com"
@@ -8,6 +8,7 @@ use crate::{AiExecutionDecision, AppState, GatewayError};
mod claude;
mod codex;
mod deepseek;
mod family;
mod gemini;
mod normalize;
@@ -16,6 +17,7 @@ mod openai;
pub(crate) use self::codex::{
apply_codex_openai_responses_special_body_edits, apply_codex_openai_responses_special_headers,
};
pub(crate) use self::deepseek::{apply_deepseek_tool_call_thinking_compat, is_deepseek_provider};
pub(crate) use self::family::{
build_local_stream_attempt_source, build_local_stream_plan_and_reports,
build_local_sync_attempt_source, build_local_sync_plan_and_reports,
@@ -292,6 +292,47 @@ fn strips_metadata_for_codex_openai_responses_requests() {
assert!(provider_request_body.get("metadata").is_none());
}
#[test]
fn openai_chat_to_codex_responses_preserves_json_mode_chat_messages() {
let body_json = json!({
"model": "gpt-5.5",
"messages": [
{"role": "system", "content": "Return a JSON object."},
{"role": "user", "content": "Why did this JSON request fail?"}
],
"response_format": {"type": "json_object"}
});
let provider_request_body = build_cross_format_openai_responses_request_body(
&body_json,
"gpt-5.5-upstream",
"openai:chat",
"openai:responses",
false,
false,
"codex",
None,
None,
&http::HeaderMap::new(),
false,
)
.expect("openai chat to codex responses request should build");
assert_eq!(
provider_request_body["text"]["format"]["type"],
"json_object"
);
assert_eq!(provider_request_body["input"][0]["role"], "user");
assert_eq!(
provider_request_body["input"][0]["content"][0]["text"],
"Why did this JSON request fail?"
);
assert_eq!(
provider_request_body["instructions"],
"Return a JSON object."
);
}
#[test]
fn applies_codex_defaults_unless_body_rules_handle_the_field() {
let body_json = json!({
@@ -356,7 +397,7 @@ fn injects_codex_prompt_cache_key_for_openai_responses_cross_format_requests() {
assert_eq!(
provider_request_body["prompt_cache_key"],
"b4dfeb75-b105-544c-a706-39b92f0bddb0"
"4ee6ea6e-3ac6-5a18-8cb8-1f8b956419e5"
);
}
@@ -2,8 +2,8 @@ use crate::ai_serving::build_request_trace_proxy_value;
use crate::ai_serving::planner::common::OPENAI_CHAT_STREAM_PLAN_KIND;
use crate::ai_serving::planner::decision_input::apply_provider_request_routing_policy_to_decision;
use crate::ai_serving::planner::report_context::{
build_local_execution_report_context, insert_provider_stream_event_api_format,
LocalExecutionReportContextParts,
build_local_execution_report_context, insert_native_client_envelope_name,
insert_provider_stream_event_api_format, LocalExecutionReportContextParts,
};
use crate::ai_serving::planner::{
build_ai_execution_decision_response, AiExecutionDecisionResponseParts,
@@ -84,6 +84,7 @@ pub(crate) async fn maybe_build_local_openai_chat_decision_payload_for_candidate
"envelope_name".to_string(),
serde_json::Value::String(envelope_name.to_string()),
);
insert_native_client_envelope_name(&mut extra_fields, envelope_name, parts.uri.path());
}
insert_provider_stream_event_api_format(
&mut extra_fields,
@@ -1,7 +1,5 @@
use std::borrow::Cow;
use std::collections::BTreeMap;
use std::sync::Arc;
use std::time::{SystemTime, UNIX_EPOCH};
use aether_contracts::ResolvedTransportProfile;
use serde_json::{json, Value};
@@ -19,11 +17,14 @@ use crate::ai_serving::planner::gemini_cli::{
build_gemini_cli_v1internal_provider_request, GeminiCliV1InternalRequestError,
GeminiCliV1InternalRequestInput,
};
use crate::ai_serving::planner::redaction::{
request_identity_response_encoding_when_redacted, resolve_provider_chat_pii_redaction,
};
use crate::ai_serving::planner::standard::{
apply_codex_openai_responses_special_body_edits, apply_codex_openai_responses_special_headers,
build_cross_format_openai_chat_request_body, build_cross_format_openai_chat_upstream_url,
build_local_openai_chat_request_body, build_local_openai_chat_upstream_url,
request_body_build_failure_extra_data,
apply_deepseek_tool_call_thinking_compat, build_cross_format_openai_chat_request_body,
build_cross_format_openai_chat_upstream_url, build_local_openai_chat_request_body,
build_local_openai_chat_upstream_url, request_body_build_failure_extra_data,
};
use crate::ai_serving::transport::auth::resolve_local_openai_bearer_auth;
use crate::ai_serving::transport::kiro::{
@@ -52,13 +53,7 @@ use crate::ai_serving::{
LocalResolvedOAuthRequestAuth,
};
use crate::ai_serving::{ConversionMode, ExecutionStrategy};
use crate::privacy::{
build_redaction_session_config, read_chat_pii_redaction_runtime_config,
try_mask_chat_request_json_with_cache_options, MaskChatRequestOptions, RedactionMaskError,
RedactionSessionSlot, RedisRedactionMappingCache,
};
use crate::{AppState, GatewayError};
use tracing::warn;
use super::support::{
mark_skipped_local_openai_chat_candidate,
@@ -92,100 +87,6 @@ fn is_grok_text_provider_api_format(provider_api_format: &str) -> bool {
)
}
fn request_identity_response_encoding_when_redacted(
headers: &mut BTreeMap<String, String>,
redacted: bool,
) {
if redacted {
headers.insert("accept-encoding".to_string(), "identity".to_string());
}
}
struct ProviderChatRequestRedaction<'a> {
body_json: Cow<'a, Value>,
redacted: bool,
}
impl<'a> ProviderChatRequestRedaction<'a> {
fn disabled(body_json: &'a Value, _parts: &http::request::Parts) -> Self {
Self {
body_json: Cow::Borrowed(body_json),
redacted: false,
}
}
}
#[derive(Clone, Copy, Debug, Default)]
struct ChatPiiRedactionFeatureSettings {
enabled: Option<bool>,
inject_model_instruction: Option<bool>,
}
impl ChatPiiRedactionFeatureSettings {
fn merge_from_value(&mut self, value: Option<&Value>) {
let Some(settings) = value
.and_then(Value::as_object)
.and_then(|features| features.get("chat_pii_redaction"))
.and_then(Value::as_object)
else {
return;
};
if let Some(enabled) = settings.get("enabled").and_then(Value::as_bool) {
self.enabled = Some(enabled);
}
if let Some(inject_model_instruction) = settings
.get("inject_model_instruction")
.and_then(Value::as_bool)
{
self.inject_model_instruction = Some(inject_model_instruction);
}
}
fn effective_enabled(self) -> bool {
self.enabled.unwrap_or(false)
}
fn effective_inject_model_instruction(self) -> bool {
self.inject_model_instruction.unwrap_or(true)
}
}
async fn resolve_chat_pii_redaction_feature_settings(
state: &AppState,
input: &LocalOpenAiChatDecisionInput,
) -> Result<ChatPiiRedactionFeatureSettings, GatewayError> {
let user_settings = state
.read_user_feature_settings(&input.auth_context.user_id)
.await
.map_err(|err| {
warn!(
error = ?err,
"gateway failed to read user chat pii redaction feature settings"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
let key_settings = state
.read_auth_api_key_feature_settings(
&input.auth_context.user_id,
&input.auth_context.api_key_id,
input.auth_context.api_key_is_standalone,
)
.await
.map_err(|err| {
warn!(
error = ?err,
"gateway failed to read api key chat pii redaction feature settings"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
let mut settings = ChatPiiRedactionFeatureSettings::default();
settings.merge_from_value(user_settings.as_ref());
settings.merge_from_value(key_settings.as_ref());
Ok(settings)
}
#[allow(clippy::too_many_arguments)]
pub(crate) async fn resolve_local_openai_chat_candidate_payload_parts(
state: &AppState,
@@ -214,9 +115,15 @@ pub(crate) async fn resolve_local_openai_chat_candidate_payload_parts(
Some(&input.requested_model),
)
.await;
let redaction =
resolve_provider_chat_request_redaction(state, parts, body_json, input, candidate_id)
.await?;
let redaction = resolve_provider_chat_pii_redaction(
state,
parts,
body_json,
&input.auth_context,
"openai:chat",
candidate_id,
)
.await?;
let body_json = redaction.body_json.as_ref();
let effective_headers = input.effective_headers(&parts.headers);
let is_grok = transport
@@ -408,7 +315,7 @@ pub(crate) async fn resolve_local_openai_chat_candidate_payload_parts(
}
};
let Some(provider_request_body) = build_local_openai_chat_request_body(
let Some(mut provider_request_body) = build_local_openai_chat_request_body(
body_json,
&prepared_candidate.mapped_model,
upstream_is_stream,
@@ -434,6 +341,13 @@ pub(crate) async fn resolve_local_openai_chat_candidate_payload_parts(
.await;
return Ok(None);
};
apply_deepseek_tool_call_thinking_compat(
&mut provider_request_body,
transport.provider.provider_type.as_str(),
transport.endpoint.base_url.as_str(),
"openai:chat",
Some(body_json),
);
let Some(upstream_url) = build_local_openai_chat_upstream_url(parts, transport) else {
mark_skipped_local_openai_chat_candidate_with_failure_diagnostic(
@@ -712,6 +626,13 @@ pub(crate) async fn resolve_local_openai_chat_candidate_payload_parts(
request_requires_body_stream_field(body_json, force_body_stream_field),
);
}
apply_deepseek_tool_call_thinking_compat(
&mut provider_request_body,
transport.provider.provider_type.as_str(),
transport.endpoint.base_url.as_str(),
provider_api_format.as_str(),
Some(body_json),
);
if let Some(kiro_auth) = kiro_auth.as_ref() {
return Ok(build_kiro_openai_chat_cross_format_payload_parts(
@@ -1773,90 +1694,6 @@ async fn build_kiro_openai_chat_cross_format_payload_parts(
})
}
async fn resolve_provider_chat_request_redaction<'a>(
state: &AppState,
parts: &http::request::Parts,
body_json: &'a Value,
input: &LocalOpenAiChatDecisionInput,
candidate_id: &str,
) -> Result<ProviderChatRequestRedaction<'a>, GatewayError> {
if parts.uri.path() != "/v1/chat/completions" {
return Ok(ProviderChatRequestRedaction::disabled(body_json, parts));
}
let Some(slot) = parts.extensions.get::<RedactionSessionSlot>() else {
return Ok(ProviderChatRequestRedaction::disabled(body_json, parts));
};
let runtime_config = read_chat_pii_redaction_runtime_config(state)
.await
.map_err(|err| {
warn!(
error = ?err,
"gateway failed to read chat pii redaction runtime config"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
if !runtime_config.enabled {
return Ok(ProviderChatRequestRedaction::disabled(body_json, parts));
}
let feature_settings = resolve_chat_pii_redaction_feature_settings(state, input).await?;
if !feature_settings.effective_enabled() {
return Ok(ProviderChatRequestRedaction::disabled(body_json, parts));
}
let Some(hmac_key) = state.encryption_key().map(str::as_bytes).map(Vec::from) else {
warn!("gateway chat pii redaction is enabled but encryption key is unavailable");
return Err(GatewayError::Internal(
"chat pii redaction setup failed".to_string(),
));
};
let body_bytes = serde_json::to_vec(body_json).map_err(|err| {
warn!(
error = ?err,
"gateway failed to serialize provider chat pii redaction body"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
let now_unix_secs = SystemTime::now()
.duration_since(UNIX_EPOCH)
.unwrap_or_default()
.as_secs();
let cache = RedisRedactionMappingCache::new(state.runtime_state.as_ref());
let masked = try_mask_chat_request_json_with_cache_options(
&body_bytes,
build_redaction_session_config(hmac_key, &runtime_config, now_unix_secs),
MaskChatRequestOptions::runtime(feature_settings.effective_inject_model_instruction()),
Some(&cache),
)
.await
.map_err(redaction_mask_error_to_gateway_error)?;
if !masked.redacted {
return Ok(ProviderChatRequestRedaction {
body_json: Cow::Borrowed(body_json),
redacted: false,
});
}
let masked_body_json = serde_json::from_slice::<Value>(&masked.body).map_err(|err| {
warn!(
error = ?err,
"gateway failed to decode redacted provider chat pii body"
);
GatewayError::Internal("chat pii redaction setup failed".to_string())
})?;
slot.put_for_candidate(candidate_id, masked.session);
Ok(ProviderChatRequestRedaction {
body_json: Cow::Owned(masked_body_json),
redacted: true,
})
}
fn redaction_mask_error_to_gateway_error(error: RedactionMaskError) -> GatewayError {
match error {
RedactionMaskError::Limit(limit) => GatewayError::Client {
status: limit.client_status(),
message: limit.safe_message().to_string(),
},
}
}
#[cfg(test)]
mod tests {
use super::*;
@@ -4,8 +4,8 @@ use tracing::debug;
use crate::ai_serving::build_request_trace_proxy_value;
use crate::ai_serving::planner::decision_input::apply_provider_request_routing_policy_to_decision;
use crate::ai_serving::planner::report_context::{
build_local_execution_report_context, insert_provider_stream_event_api_format,
LocalExecutionReportContextParts,
build_local_execution_report_context, insert_native_client_envelope_name,
insert_provider_stream_event_api_format, LocalExecutionReportContextParts,
};
use crate::ai_serving::planner::spec_metadata::local_openai_responses_spec_metadata;
use crate::ai_serving::planner::{
@@ -51,11 +51,16 @@ pub(crate) async fn maybe_build_local_openai_responses_decision_payload_for_cand
&candidate_id,
spec,
)
.await
.await?
else {
return Ok(None);
};
let candidate = &eligible.candidate;
let original_request_body_json = if resolved.request_redacted {
Some(&resolved.provider_request_body)
} else {
Some(body_json)
};
let prompt_cache_key = resolved
.provider_request_body
@@ -80,6 +85,7 @@ pub(crate) async fn maybe_build_local_openai_responses_decision_payload_for_cand
}
if let Some(envelope_name) = resolved.envelope_name {
extra_fields.insert("envelope_name".to_string(), json!(envelope_name));
insert_native_client_envelope_name(&mut extra_fields, envelope_name, parts.uri.path());
}
if let Some(image_request_summary) = resolved.image_request_summary.as_ref() {
extra_fields.insert("image_request".to_string(), image_request_summary.clone());
@@ -141,7 +147,7 @@ pub(crate) async fn maybe_build_local_openai_responses_decision_payload_for_cand
request_path: Some(parts.uri.path()),
request_query_string: parts.uri.query(),
request_origin: Some(crate::ai_serving::request_origin_from_parts(parts)),
original_request_body_json: Some(body_json),
original_request_body_json,
original_request_body_base64: None,
client_session_affinity: input.client_session_affinity.as_ref(),
scheduler_affinity_epoch: eligible.orchestration.scheduler_affinity_epoch,
@@ -204,6 +210,7 @@ pub(crate) async fn maybe_build_local_openai_responses_decision_payload_for_cand
transport,
transport_profile: _,
image_request_summary: _,
request_redacted: _,
} = resolved;
let mut decision = build_ai_execution_decision_response(AiExecutionDecisionResponseParts {
@@ -18,10 +18,13 @@ use crate::ai_serving::planner::gemini_cli::{
build_gemini_cli_v1internal_provider_request, GeminiCliV1InternalRequestError,
GeminiCliV1InternalRequestInput,
};
use crate::ai_serving::planner::redaction::{
request_identity_response_encoding_when_redacted, resolve_provider_chat_pii_redaction,
};
use crate::ai_serving::planner::spec_metadata::local_openai_responses_spec_metadata;
use crate::ai_serving::planner::standard::{
apply_codex_openai_responses_special_body_edits, apply_codex_openai_responses_special_headers,
build_cross_format_openai_responses_request_body,
apply_deepseek_tool_call_thinking_compat, build_cross_format_openai_responses_request_body,
build_cross_format_openai_responses_upstream_url, build_local_openai_responses_request_body,
build_local_openai_responses_upstream_url, request_body_build_failure_extra_data,
};
@@ -58,7 +61,7 @@ use crate::ai_serving::{
LocalResolvedOAuthRequestAuth, PlannerAppState,
};
use crate::ai_serving::{ConversionMode, ExecutionStrategy};
use crate::AppState;
use crate::{AppState, GatewayError};
use super::support::{
mark_skipped_local_openai_responses_candidate,
@@ -93,6 +96,7 @@ pub(crate) struct LocalOpenAiResponsesCandidatePayloadParts {
pub(super) transport: Arc<GatewayProviderTransportSnapshot>,
pub(super) transport_profile: Option<ResolvedTransportProfile>,
pub(super) image_request_summary: Option<Value>,
pub(super) request_redacted: bool,
}
#[allow(clippy::too_many_arguments)]
@@ -106,7 +110,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
candidate_index: u32,
candidate_id: &str,
spec: LocalOpenAiResponsesSpec,
) -> Option<LocalOpenAiResponsesCandidatePayloadParts> {
) -> Result<Option<LocalOpenAiResponsesCandidatePayloadParts>, GatewayError> {
let spec_metadata = local_openai_responses_spec_metadata(spec);
let client_api_format = spec_metadata.api_format.trim().to_ascii_lowercase();
let planner_state = PlannerAppState::new(state);
@@ -123,7 +127,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
.eq_ignore_ascii_case("grok");
if !is_grok && provider_api_format.eq_ignore_ascii_case("openai:image") {
return resolve_openai_responses_to_openai_image_payload_parts(
return Ok(resolve_openai_responses_to_openai_image_payload_parts(
state,
parts,
trace_id,
@@ -134,7 +138,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
candidate_id,
spec,
)
.await;
.await);
}
let is_windsurf_cascade =
provider_api_format == "openai:chat" && is_windsurf_provider_transport(transport);
@@ -171,7 +175,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
skip_reason,
)
.await;
return None;
return Ok(None);
}
let oauth_context = OauthPreparationContext {
@@ -199,7 +203,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
"transport_auth_unavailable",
)
.await;
return None;
return Ok(None);
}
}
} else {
@@ -240,7 +244,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
skip_reason,
)
.await;
return None;
return Ok(None);
}
}
} else {
@@ -265,7 +269,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
skip_reason,
)
.await;
return None;
return Ok(None);
}
}
};
@@ -279,6 +283,16 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
Some(&input.requested_model),
)
.await;
let redaction = resolve_provider_chat_pii_redaction(
state,
parts,
body_json,
&input.auth_context,
spec_metadata.api_format,
candidate_id,
)
.await?;
let body_json = redaction.body_json.as_ref();
let needs_bidirectional_conversion = !same_format && conversion_kind.is_some();
let upstream_is_stream = resolve_upstream_is_stream_for_provider(
@@ -357,7 +371,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
if let Some(mapping) =
crate::system_features::reasoning_model_directive_mapping_for_api_format_and_model(
@@ -380,6 +394,13 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
request_requires_body_stream_field(body_json, force_body_stream_field),
);
}
apply_deepseek_tool_call_thinking_compat(
&mut base_provider_request_body,
transport.provider.provider_type.as_str(),
transport.endpoint.base_url.as_str(),
provider_api_format,
Some(body_json),
);
let antigravity_auth = if is_antigravity {
match classify_local_antigravity_request_support(
transport,
@@ -398,7 +419,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
"transport_unsupported",
)
.await;
return None;
return Ok(None);
}
}
} else {
@@ -429,7 +450,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
}
} else {
@@ -456,11 +477,12 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
upstream_is_stream,
needs_bidirectional_conversion,
kiro_auth,
redaction.redacted,
)
.await;
}
if is_windsurf_cascade {
return build_windsurf_openai_responses_payload_parts(
return Ok(build_windsurf_openai_responses_payload_parts(
state,
parts,
trace_id,
@@ -477,13 +499,14 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
auth_value,
provider_request_body,
upstream_is_stream,
redaction.redacted,
)
.await;
.await);
}
if provider_api_format == "gemini:generate_content"
&& is_gemini_cli_provider_transport(transport)
{
return build_gemini_cli_openai_responses_payload_parts(
return Ok(build_gemini_cli_openai_responses_payload_parts(
state,
parts,
trace_id,
@@ -500,8 +523,9 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
auth_value,
provider_request_body,
upstream_is_stream,
redaction.redacted,
)
.await;
.await);
}
let Some(upstream_url) = (if is_grok && is_grok_text_provider_api_format(provider_api_format) {
@@ -537,7 +561,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
let extra_headers = antigravity_auth
.as_ref()
@@ -569,7 +593,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
crate::ai_serving::transport::StandardProviderRequestHeaders {
headers,
@@ -607,7 +631,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
),
)
.await;
return None;
return Ok(None);
};
resolved_headers
};
@@ -623,6 +647,10 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
transport.key.decrypted_auth_config.as_deref(),
);
}
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
redaction.redacted,
);
let (execution_strategy, conversion_mode) =
ai_local_execution_contract_for_formats(spec_metadata.api_format, provider_api_format);
@@ -651,7 +679,7 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
"gateway resolved local openai responses upstream url"
);
Some(LocalOpenAiResponsesCandidatePayloadParts {
Ok(Some(LocalOpenAiResponsesCandidatePayloadParts {
auth_header: resolved_headers.auth_header,
auth_value: resolved_headers.auth_value,
mapped_model,
@@ -672,7 +700,8 @@ pub(crate) async fn resolve_local_openai_responses_candidate_payload_parts(
transport: Arc::clone(transport),
transport_profile,
image_request_summary: None,
})
request_redacted: redaction.redacted,
}))
}
#[allow(clippy::too_many_arguments)]
@@ -693,6 +722,7 @@ async fn build_gemini_cli_openai_responses_payload_parts(
auth_value: String,
gemini_request_body: Value,
upstream_is_stream: bool,
request_redacted: bool,
) -> Option<LocalOpenAiResponsesCandidatePayloadParts> {
let candidate = &eligible.candidate;
let effective_headers = input.effective_headers(&parts.headers);
@@ -792,6 +822,10 @@ async fn build_gemini_cli_openai_responses_payload_parts(
Some(trace_id),
resolved.transport.key.decrypted_auth_config.as_deref(),
);
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
request_redacted,
);
let (execution_strategy, conversion_mode) =
ai_local_execution_contract_for_formats(client_api_format, provider_api_format);
@@ -812,6 +846,7 @@ async fn build_gemini_cli_openai_responses_payload_parts(
transport: resolved.transport,
transport_profile: None,
image_request_summary: None,
request_redacted,
})
}
@@ -833,6 +868,7 @@ async fn build_windsurf_openai_responses_payload_parts(
auth_value: String,
openai_chat_request_body: Value,
upstream_is_stream: bool,
request_redacted: bool,
) -> Option<LocalOpenAiResponsesCandidatePayloadParts> {
let candidate = &eligible.candidate;
let effective_headers = input.effective_headers(&parts.headers);
@@ -888,7 +924,7 @@ async fn build_windsurf_openai_responses_payload_parts(
return None;
}
};
let provider_request_headers = match build_windsurf_cascade_headers(
let mut provider_request_headers = match build_windsurf_cascade_headers(
effective_headers,
&provider_request_body,
original_body_json,
@@ -917,6 +953,10 @@ async fn build_windsurf_openai_responses_payload_parts(
return None;
}
};
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
request_redacted,
);
let (execution_strategy, conversion_mode) =
ai_local_execution_contract_for_formats(client_api_format, provider_api_format);
@@ -936,6 +976,7 @@ async fn build_windsurf_openai_responses_payload_parts(
transport: Arc::clone(transport),
transport_profile: None,
image_request_summary: None,
request_redacted,
})
}
@@ -1125,6 +1166,7 @@ async fn resolve_openai_responses_to_openai_image_payload_parts(
transport: Arc::clone(transport),
transport_profile: None,
image_request_summary: Some(image_request_summary),
request_redacted: false,
})
}
@@ -1241,22 +1283,42 @@ fn build_chatgpt_web_image_provider_body_from_openai_responses_body(
.unwrap_or("gpt-5-5-thinking");
let image_urls = openai_image_inputs_as_urls(&images);
let body = json!({
let mut body = json!({
"operation": operation,
"model": if model.is_empty() { "gpt-image-2" } else { model },
"web_model": web_model,
"prompt": prompt,
"size": size,
"ratio": chatgpt_web_ratio_for_size(size),
"quality": quality,
"output_format": output_format,
"images": image_urls,
});
let summary = json!({
if let Some(partial_images) = tool
.as_ref()
.and_then(|tool| tool.get("partial_images"))
.or_else(|| object.get("partial_images"))
.cloned()
{
body.as_object_mut()?
.insert("partial_images".to_string(), partial_images);
}
let mut summary = json!({
"operation": operation,
"output_format": output_format,
"size": size,
"quality": quality,
});
if let Some(partial_images) = tool
.as_ref()
.and_then(|tool| tool.get("partial_images"))
.or_else(|| object.get("partial_images"))
.cloned()
{
summary
.as_object_mut()?
.insert("partial_images".to_string(), partial_images);
}
Some((body, summary))
}
@@ -1428,7 +1490,8 @@ async fn build_kiro_openai_responses_payload_parts(
upstream_is_stream: bool,
needs_bidirectional_conversion: bool,
kiro_auth: &KiroRequestAuth,
) -> Option<LocalOpenAiResponsesCandidatePayloadParts> {
request_redacted: bool,
) -> Result<Option<LocalOpenAiResponsesCandidatePayloadParts>, GatewayError> {
let candidate = &eligible.candidate;
let effective_headers = input.effective_headers(&parts.headers);
let provider_request_body = match build_kiro_provider_request_body(
@@ -1455,7 +1518,7 @@ async fn build_kiro_openai_responses_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
};
let upstream_url = match build_kiro_cross_format_upstream_url(
@@ -1483,10 +1546,10 @@ async fn build_kiro_openai_responses_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
};
let provider_request_headers = match build_kiro_provider_headers(KiroProviderHeadersInput {
let mut provider_request_headers = match build_kiro_provider_headers(KiroProviderHeadersInput {
headers: effective_headers,
provider_request_body: &provider_request_body,
original_request_body: original_body_json,
@@ -1513,7 +1576,7 @@ async fn build_kiro_openai_responses_payload_parts(
),
)
.await;
return None;
return Ok(None);
}
};
let (execution_strategy, conversion_mode) =
@@ -1538,7 +1601,12 @@ async fn build_kiro_openai_responses_payload_parts(
"gateway resolved local openai responses kiro upstream url"
);
Some(LocalOpenAiResponsesCandidatePayloadParts {
request_identity_response_encoding_when_redacted(
&mut provider_request_headers,
request_redacted,
);
Ok(Some(LocalOpenAiResponsesCandidatePayloadParts {
auth_header,
auth_value,
mapped_model,
@@ -1554,7 +1622,8 @@ async fn build_kiro_openai_responses_payload_parts(
transport: Arc::clone(transport),
transport_profile: None,
image_request_summary: None,
})
request_redacted,
}))
}
#[cfg(test)]
@@ -1594,4 +1663,36 @@ mod tests {
assert_eq!(summary["operation"], "generate");
assert_eq!(summary["output_format"], "png");
}
#[test]
fn chatgpt_web_responses_image_body_preserves_usage_options() {
let body_json = json!({
"model": "gpt-image-2",
"input": "Draw a glass city",
"tools": [
{
"type": "image_generation",
"size": "1024x1024",
"quality": "high",
"output_format": "png",
"partial_images": 2
}
],
"tool_choice": {
"type": "image_generation"
}
});
let (provider_body, summary) =
build_chatgpt_web_image_provider_body_from_openai_responses_body(
&body_json,
"gpt-image-2",
)
.expect("responses image body should convert");
assert_eq!(provider_body["quality"], "high");
assert_eq!(provider_body["partial_images"], 2);
assert_eq!(summary["quality"], "high");
assert_eq!(summary["partial_images"], 2);
}
}