mirror of
https://github.com/fawney19/Aether.git
synced 2026-10-04 16:37:46 +08:00
Merge PR #669: align GPT-5.6 and Codex request protocols
This commit is contained in:
@@ -104,6 +104,7 @@ fn is_known_admin_monitoring_api_format(value: &str) -> bool {
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"openai:chat"
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| "openai:responses"
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| "openai:responses:compact"
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| "openai:search"
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| "openai:image"
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| "openai:video"
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| "openai:embedding"
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@@ -492,6 +493,20 @@ mod tests {
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);
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}
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#[test]
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fn parses_v2_scheduler_affinity_key_for_openai_search() {
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let parsed = parse_admin_monitoring_scheduler_affinity_key(
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"scheduler_affinity:v2:user-key-1:openai:search:gpt-5.6-sol:codex:sessionhash",
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)
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.expect("Search scheduler key should parse");
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assert_eq!(parsed.affinity_key, "user-key-1");
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assert_eq!(parsed.api_format, "openai:search");
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assert_eq!(parsed.model_name, "gpt-5.6-sol");
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assert_eq!(parsed.client_family.as_deref(), Some("codex"));
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assert_eq!(parsed.session_hash.as_deref(), Some("sessionhash"));
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}
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#[test]
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fn parses_v2_scheduler_affinity_key_with_three_segment_api_format() {
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let parsed = parse_admin_monitoring_scheduler_affinity_key(
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@@ -6,7 +6,8 @@ use crate::handlers::admin::provider::shared::payloads::{
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AdminProviderCreateRequest, AdminProviderUpdatePatch,
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};
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use crate::handlers::admin::provider::write::provider::{
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reconcile_admin_fixed_provider_template_endpoints, reconcile_admin_fixed_provider_template_keys,
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reconcile_admin_fixed_provider_template_endpoints,
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reconcile_admin_fixed_provider_template_endpoints_after_update,
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};
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use crate::handlers::admin::request::{AdminAppState, AdminRequestContext};
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use crate::handlers::admin::shared::attach_admin_audit_response;
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@@ -80,7 +81,6 @@ pub(crate) async fn maybe_build_local_admin_provider_writes_response(
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.is_some()
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{
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reconcile_admin_fixed_provider_template_endpoints(state, &created_provider).await?;
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reconcile_admin_fixed_provider_template_keys(state, &created_provider).await?;
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}
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return Ok(Some(attach_admin_audit_response(
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Json(json!({
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@@ -161,8 +161,12 @@ pub(crate) async fn maybe_build_local_admin_provider_writes_response(
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.fixed_provider_template(&updated_record.provider_type)
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.is_some()
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{
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reconcile_admin_fixed_provider_template_endpoints(state, &updated_record).await?;
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reconcile_admin_fixed_provider_template_keys(state, &updated_record).await?;
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reconcile_admin_fixed_provider_template_endpoints_after_update(
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state,
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&existing_provider,
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&updated_record,
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)
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.await?;
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}
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return Ok(Some(
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match state
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@@ -64,7 +64,8 @@ use aether_data_contracts::repository::provider_catalog::{
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};
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use aether_model_fetch::{
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aggregate_models_for_cache, fetch_models_from_transports, json_string_list,
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merge_upstream_metadata, preset_models_for_provider, selected_models_fetch_endpoints,
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model_catalog_upstream_metadata, preset_models_for_provider, selected_models_fetch_endpoints,
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upstream_metadata_namespace_updates,
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};
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use axum::{
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body::{to_bytes, Body},
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@@ -281,6 +282,7 @@ fn provider_query_attach_model_test_capabilities(
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fn provider_query_codex_preset_fallback(
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provider: &StoredProviderCatalogProvider,
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fetch_error: &str,
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) -> Option<ProviderQueryKeyFetchResult> {
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if !provider.provider_type.trim().eq_ignore_ascii_case("codex") {
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return None;
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@@ -289,12 +291,59 @@ fn provider_query_codex_preset_fallback(
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Some(ProviderQueryKeyFetchResult {
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models: aggregate_models_for_cache(&models),
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error: None,
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warning: None,
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warning: Some(format!(
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"Codex 动态模型目录不可用,已使用内置模型卡:{fetch_error}"
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)),
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from_cache: false,
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has_success: true,
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})
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}
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async fn provider_query_persist_preset_models(
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state: &AdminAppState<'_>,
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provider: &StoredProviderCatalogProvider,
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key: &StoredProviderCatalogKey,
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models: &[Value],
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) -> Result<(), GatewayError> {
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if models.is_empty() {
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return Ok(());
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}
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<AppState as ModelFetchRuntimeState>::write_upstream_models_cache(
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state.app(),
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&provider.id,
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&key.id,
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models,
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)
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.await;
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if let Some(catalog_metadata) = model_catalog_upstream_metadata(&provider.provider_type, models)
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{
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provider_query_persist_upstream_metadata(state, key, &catalog_metadata).await?;
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}
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Ok(())
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}
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async fn provider_query_persist_upstream_metadata(
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state: &AdminAppState<'_>,
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key: &StoredProviderCatalogKey,
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upstream_metadata: &Value,
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) -> Result<(), GatewayError> {
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let updated_at = current_unix_secs();
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for (namespace, value) in
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upstream_metadata_namespace_updates(key.upstream_metadata.as_ref(), upstream_metadata)
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{
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state
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.app()
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.upsert_provider_catalog_key_upstream_metadata_namespace(
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&key.id,
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&namespace,
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&value,
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Some(updated_at),
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)
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.await?;
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}
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Ok(())
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}
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mod model_test;
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pub(crate) use self::model_test::{
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@@ -439,11 +488,9 @@ async fn provider_query_fetch_models_for_key(
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let selected_endpoints = selected_models_fetch_endpoints(endpoints, key);
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if selected_endpoints.is_empty() {
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if let Some(models) = preset_models_for_provider(&provider.provider_type) {
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let models = provider_query_filter_models_for_key(
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provider,
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key,
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aggregate_models_for_cache(&models),
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);
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let models = aggregate_models_for_cache(&models);
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provider_query_persist_preset_models(state, provider, key, &models).await?;
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let models = provider_query_filter_models_for_key(provider, key, models);
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return Ok(ProviderQueryKeyFetchResult {
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models,
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error: None,
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@@ -492,7 +539,11 @@ async fn provider_query_fetch_models_for_key(
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Ok(outcome) => outcome,
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Err(err) => {
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all_errors.push(err);
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if let Some(fallback) = provider_query_codex_preset_fallback(provider) {
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if let Some(fallback) =
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provider_query_codex_preset_fallback(provider, &all_errors.join("; "))
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{
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provider_query_persist_preset_models(state, provider, key, &fallback.models)
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.await?;
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return Ok(fallback);
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}
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return Ok(ProviderQueryKeyFetchResult {
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@@ -517,20 +568,14 @@ async fn provider_query_fetch_models_for_key(
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.await;
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}
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if let Some(upstream_metadata) = outcome.upstream_metadata.as_ref() {
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let merged_metadata =
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merge_upstream_metadata(key.upstream_metadata.as_ref(), upstream_metadata);
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state
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.app()
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.update_provider_catalog_key_upstream_metadata(
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&key.id,
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Some(&merged_metadata),
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Some(current_unix_secs()),
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)
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.await?;
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provider_query_persist_upstream_metadata(state, key, upstream_metadata).await?;
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}
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if unique_models.is_empty() && !all_errors.is_empty() {
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if let Some(fallback) = provider_query_codex_preset_fallback(provider) {
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if let Some(fallback) =
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provider_query_codex_preset_fallback(provider, &all_errors.join("; "))
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{
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provider_query_persist_preset_models(state, provider, key, &fallback.models).await?;
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return Ok(fallback);
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}
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}
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@@ -29,10 +29,7 @@ use crate::handlers::shared::{
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provider_key_status_snapshot_payload,
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};
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use crate::model_fetch::ModelFetchRuntimeState;
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use crate::provider_key_auth::{
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provider_key_auth_semantics, provider_key_configured_api_formats,
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provider_key_inherits_provider_api_formats,
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};
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use crate::provider_key_auth::provider_key_auth_semantics;
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use crate::provider_transport::antigravity::{
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build_antigravity_safe_v1internal_request, build_antigravity_static_identity_headers,
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classify_local_antigravity_request_support, AntigravityEnvelopeRequestType,
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@@ -543,6 +540,22 @@ fn provider_query_build_test_request_body_for_api_format(
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model: &str,
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route_path: &str,
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client_api_format: &str,
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) -> Value {
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provider_query_build_test_request_body_for_api_format_with_search_session(
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payload,
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model,
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route_path,
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client_api_format,
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None,
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)
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}
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fn provider_query_build_test_request_body_for_api_format_with_search_session(
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payload: &Value,
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model: &str,
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route_path: &str,
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client_api_format: &str,
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search_session_id: Option<&str>,
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) -> Value {
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let client_api_format = provider_query_normalize_api_format_alias(client_api_format);
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let override_custom_model = route_path.ends_with("/test-model-failover")
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@@ -568,7 +581,7 @@ fn provider_query_build_test_request_body_for_api_format(
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);
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} else if matches!(
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client_api_format.as_str(),
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"openai:responses" | "openai:responses:compact"
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"openai:responses" | "openai:responses:compact" | "openai:search"
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) && !value_has_non_empty_text(object.get("input"))
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{
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if let Some(prompt) = object
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@@ -580,7 +593,7 @@ fn provider_query_build_test_request_body_for_api_format(
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}
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if matches!(
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client_api_format.as_str(),
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"openai:responses" | "openai:responses:compact"
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"openai:responses" | "openai:responses:compact" | "openai:search"
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) && value_has_non_empty_text(object.get("input"))
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{
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object.remove("prompt");
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@@ -590,6 +603,9 @@ fn provider_query_build_test_request_body_for_api_format(
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{
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object.remove("messages");
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}
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if client_api_format == "openai:search" {
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provider_query_ensure_search_test_fields(object, payload, search_session_id);
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}
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}
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return body;
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}
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@@ -620,6 +636,15 @@ fn provider_query_build_test_request_body_for_api_format(
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"temperature": 0.7,
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"stream": true,
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}),
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"openai:search" => json!({
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"id": provider_query_search_test_session_id(search_session_id),
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"model": model,
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"input": message,
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"commands": {
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"search_query": [{"q": message}]
|
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},
|
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"max_output_tokens": 256,
|
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}),
|
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"claude:messages" => json!({
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"model": model,
|
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"messages": [{
|
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@@ -680,7 +705,7 @@ fn provider_query_insert_default_test_conversation(
|
||||
.entry("top_n".to_string())
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.or_insert_with(|| Value::from(4_u64));
|
||||
}
|
||||
"openai:responses" | "openai:responses:compact" => {
|
||||
"openai:responses" | "openai:responses:compact" | "openai:search" => {
|
||||
object.insert("input".to_string(), Value::String(message));
|
||||
}
|
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"claude:messages" => {
|
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@@ -698,6 +723,48 @@ fn provider_query_insert_default_test_conversation(
|
||||
}
|
||||
}
|
||||
|
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fn provider_query_search_test_session_id(search_session_id: Option<&str>) -> String {
|
||||
search_session_id
|
||||
.map(str::trim)
|
||||
.filter(|value| !value.is_empty())
|
||||
.map(|value| format!("aether-model-test-{value}"))
|
||||
.unwrap_or_else(|| format!("aether-model-test-{}", Uuid::new_v4().simple()))
|
||||
}
|
||||
|
||||
fn provider_query_ensure_search_test_fields(
|
||||
object: &mut Map<String, Value>,
|
||||
payload: &Value,
|
||||
search_session_id: Option<&str>,
|
||||
) {
|
||||
let query = object
|
||||
.get("input")
|
||||
.and_then(Value::as_str)
|
||||
.map(str::trim)
|
||||
.filter(|value| !value.is_empty())
|
||||
.map(ToOwned::to_owned)
|
||||
.or_else(|| provider_query_extract_message(payload))
|
||||
.unwrap_or_else(|| DEFAULT_PROVIDER_QUERY_TEST_MESSAGE.to_string());
|
||||
let has_session_id = object
|
||||
.get("id")
|
||||
.and_then(Value::as_str)
|
||||
.is_some_and(|value| !value.trim().is_empty());
|
||||
if !has_session_id {
|
||||
object.insert(
|
||||
"id".to_string(),
|
||||
provider_query_search_test_session_id(search_session_id).into(),
|
||||
);
|
||||
}
|
||||
object
|
||||
.entry("input".to_string())
|
||||
.or_insert_with(|| Value::String(query.clone()));
|
||||
object
|
||||
.entry("commands".to_string())
|
||||
.or_insert_with(|| json!({"search_query": [{"q": query}]}));
|
||||
object
|
||||
.entry("max_output_tokens".to_string())
|
||||
.or_insert_with(|| Value::from(256_u64));
|
||||
}
|
||||
|
||||
fn provider_query_grok_test_client_api_format(provider_api_format: &str) -> &'static str {
|
||||
match provider_query_normalize_api_format_alias(provider_api_format).as_str() {
|
||||
"openai:responses" | "openai:responses:compact" => "openai:responses",
|
||||
@@ -767,7 +834,7 @@ fn provider_query_request_body_has_conversation_for_api_format(
|
||||
client_api_format: &str,
|
||||
) -> bool {
|
||||
match provider_query_normalize_api_format_alias(client_api_format).as_str() {
|
||||
"openai:responses" | "openai:responses:compact" => {
|
||||
"openai:responses" | "openai:responses:compact" | "openai:search" => {
|
||||
value_has_non_empty_text(body.get("input"))
|
||||
|| value_has_non_empty_text(body.get("prompt"))
|
||||
}
|
||||
@@ -828,14 +895,12 @@ fn provider_query_resolve_standard_test_upstream_is_stream(
|
||||
provider_type: &str,
|
||||
provider_api_format: &str,
|
||||
) -> bool {
|
||||
let hard_requires_streaming = crate::ai_serving::force_upstream_streaming_for_provider(
|
||||
crate::ai_serving::resolve_upstream_is_stream_for_provider(
|
||||
endpoint_config,
|
||||
provider_type,
|
||||
provider_api_format,
|
||||
);
|
||||
crate::ai_serving::resolve_upstream_is_stream_from_endpoint_config(
|
||||
endpoint_config,
|
||||
false,
|
||||
hard_requires_streaming,
|
||||
false,
|
||||
)
|
||||
}
|
||||
|
||||
@@ -876,15 +941,11 @@ fn provider_query_key_supports_endpoint(
|
||||
provider_type: &str,
|
||||
endpoint_api_format: &str,
|
||||
) -> bool {
|
||||
if provider_key_inherits_provider_api_formats(key, provider_type) {
|
||||
return true;
|
||||
}
|
||||
let formats = provider_key_configured_api_formats(key);
|
||||
let endpoint_api_format = provider_query_normalize_api_format_alias(endpoint_api_format);
|
||||
formats.is_empty()
|
||||
|| formats
|
||||
.iter()
|
||||
.any(|value| provider_query_normalize_api_format_alias(value) == endpoint_api_format)
|
||||
crate::handlers::shared::provider_catalog_key_supports_format(
|
||||
key,
|
||||
provider_type,
|
||||
endpoint_api_format,
|
||||
)
|
||||
}
|
||||
|
||||
async fn provider_query_select_preferred_non_kiro_endpoint(
|
||||
@@ -1626,6 +1687,15 @@ fn provider_query_standard_execution_response_body(
|
||||
{
|
||||
return None;
|
||||
}
|
||||
if result.status_code < 400
|
||||
&& provider_query_normalize_api_format_alias(provider_api_format) == "openai:search"
|
||||
&& !body
|
||||
.get("output")
|
||||
.and_then(Value::as_str)
|
||||
.is_some_and(|value| !value.trim().is_empty())
|
||||
{
|
||||
return None;
|
||||
}
|
||||
Some(body)
|
||||
}
|
||||
|
||||
@@ -2104,8 +2174,18 @@ async fn provider_query_execute_openai_image_test_candidate(
|
||||
route_path,
|
||||
);
|
||||
let incoming_request_headers = provider_query_extract_request_headers(payload);
|
||||
let image_request_path = if request_body.get("image").is_some()
|
||||
|| request_body
|
||||
.get("images")
|
||||
.and_then(Value::as_array)
|
||||
.is_some_and(|images| !images.is_empty())
|
||||
{
|
||||
"/v1/images/edits"
|
||||
} else {
|
||||
"/v1/images/generations"
|
||||
};
|
||||
let mut synthetic_request = http::Request::builder()
|
||||
.uri("/v1/images/generations")
|
||||
.uri(image_request_path)
|
||||
.body(())
|
||||
.map_err(|err| GatewayError::Internal(err.to_string()))?;
|
||||
*synthetic_request.headers_mut() = incoming_request_headers;
|
||||
@@ -2116,11 +2196,18 @@ async fn provider_query_execute_openai_image_test_candidate(
|
||||
&parts,
|
||||
&request_body,
|
||||
None,
|
||||
provider_query_openai_image_normalize_options(provider_type),
|
||||
provider_query_openai_image_normalize_options(
|
||||
provider_type,
|
||||
Some(candidate.effective_model.as_str()),
|
||||
),
|
||||
) else {
|
||||
return Ok(provider_query_skipped_execution_outcome(
|
||||
request_body.clone(),
|
||||
provider_query_openai_image_normalize_failure_message(provider_type, &request_body),
|
||||
provider_query_openai_image_normalize_failure_message(
|
||||
provider_type,
|
||||
Some(candidate.effective_model.as_str()),
|
||||
&request_body,
|
||||
),
|
||||
));
|
||||
};
|
||||
|
||||
@@ -2139,29 +2226,50 @@ async fn provider_query_execute_openai_image_test_candidate(
|
||||
.provider_type
|
||||
.trim()
|
||||
.eq_ignore_ascii_case("codex");
|
||||
let mut provider_request_body = if is_chatgpt_web {
|
||||
match crate::ai_serving::build_chatgpt_web_image_request_body(&parts, &request_body, None) {
|
||||
Ok(body) => body,
|
||||
Err(err) => err.to_error_json(),
|
||||
}
|
||||
} else if is_codex || is_grok {
|
||||
crate::ai_serving::build_openai_image_provider_request_body(&normalized_request)
|
||||
let upstream_is_stream = crate::ai_serving::resolve_upstream_is_stream_for_provider(
|
||||
transport.endpoint.config.as_ref(),
|
||||
transport.provider.provider_type.as_str(),
|
||||
"openai:image",
|
||||
request_body
|
||||
.get("stream")
|
||||
.and_then(Value::as_bool)
|
||||
.unwrap_or(false),
|
||||
false,
|
||||
);
|
||||
let provider_request_body = if is_chatgpt_web {
|
||||
Some(
|
||||
match crate::ai_serving::build_chatgpt_web_image_request_body(
|
||||
&parts,
|
||||
&request_body,
|
||||
None,
|
||||
) {
|
||||
Ok(body) => body,
|
||||
Err(err) => err.to_error_json(),
|
||||
},
|
||||
)
|
||||
} else if is_codex {
|
||||
crate::ai_serving::build_codex_openai_image_api_provider_request_body(
|
||||
&normalized_request,
|
||||
Some(candidate.effective_model.as_str()),
|
||||
upstream_is_stream,
|
||||
)
|
||||
} else if is_grok {
|
||||
Some(crate::ai_serving::build_openai_image_provider_request_body(
|
||||
&normalized_request,
|
||||
))
|
||||
} else {
|
||||
crate::ai_serving::build_openai_image_api_provider_request_body(
|
||||
&normalized_request,
|
||||
Some(candidate.effective_model.as_str()),
|
||||
upstream_is_stream,
|
||||
)
|
||||
};
|
||||
if !is_chatgpt_web {
|
||||
crate::ai_serving::apply_codex_openai_responses_special_body_edits(
|
||||
&mut provider_request_body,
|
||||
transport.provider.provider_type.as_str(),
|
||||
"openai:image",
|
||||
transport.endpoint.body_rules.as_ref(),
|
||||
Some(candidate.key.id.as_str()),
|
||||
);
|
||||
}
|
||||
|
||||
let Some(provider_request_body) = provider_request_body else {
|
||||
return Ok(provider_query_skipped_execution_outcome(
|
||||
request_body,
|
||||
"Provider request is outside the Codex Images contract",
|
||||
));
|
||||
};
|
||||
let oauth_auth = state.resolve_local_oauth_header_auth(&transport).await?;
|
||||
let Some((auth_header, auth_value)) =
|
||||
crate::provider_transport::resolve_openai_image_auth(&transport).or(oauth_auth)
|
||||
@@ -2193,10 +2301,12 @@ async fn provider_query_execute_openai_image_test_candidate(
|
||||
headers: &parts.headers,
|
||||
auth_header: &auth_header,
|
||||
auth_value: &auth_value,
|
||||
accept: if is_codex || is_chatgpt_web {
|
||||
"text/event-stream"
|
||||
accept: if is_codex {
|
||||
None
|
||||
} else if upstream_is_stream {
|
||||
Some("text/event-stream")
|
||||
} else {
|
||||
"application/json"
|
||||
Some("application/json")
|
||||
},
|
||||
header_rules: transport.endpoint.header_rules.as_ref(),
|
||||
provider_request_body: &provider_request_body,
|
||||
@@ -2221,7 +2331,7 @@ async fn provider_query_execute_openai_image_test_candidate(
|
||||
request_headers.insert("x-aether-chatgpt-web-image".to_string(), "1".to_string());
|
||||
} else if is_grok {
|
||||
} else {
|
||||
crate::ai_serving::apply_codex_openai_responses_special_headers(
|
||||
crate::ai_serving::apply_codex_openai_special_headers(
|
||||
&mut request_headers,
|
||||
&provider_request_body,
|
||||
&parts.headers,
|
||||
@@ -2260,13 +2370,9 @@ async fn provider_query_execute_openai_image_test_candidate(
|
||||
};
|
||||
let request_url = provider_query_openai_image_test_upstream_url(
|
||||
&transport,
|
||||
Some(parts.uri.path()),
|
||||
Some(image_request_path),
|
||||
parts.uri.query(),
|
||||
);
|
||||
let upstream_is_stream = provider_request_body
|
||||
.get("stream")
|
||||
.and_then(Value::as_bool)
|
||||
.unwrap_or(true);
|
||||
|
||||
let plan = ExecutionPlan {
|
||||
request_id: trace_id.to_string(),
|
||||
@@ -2842,12 +2948,14 @@ async fn provider_query_execute_standard_test_candidate(
|
||||
crate::ai_serving::normalize_api_format_alias(provider_api_format);
|
||||
let client_api_format =
|
||||
provider_query_standard_test_client_api_format(normalized_provider_api_format.as_str());
|
||||
let original_request_body = provider_query_build_test_request_body_for_api_format(
|
||||
payload,
|
||||
&candidate.effective_model,
|
||||
route_path,
|
||||
client_api_format,
|
||||
);
|
||||
let original_request_body =
|
||||
provider_query_build_test_request_body_for_api_format_with_search_session(
|
||||
payload,
|
||||
&candidate.effective_model,
|
||||
route_path,
|
||||
client_api_format,
|
||||
Some(trace_id),
|
||||
);
|
||||
if crate::provider_transport::is_windsurf_provider_transport(&transport)
|
||||
&& provider_query_normalize_api_format_alias(candidate.endpoint.api_format.as_str())
|
||||
== "openai:chat"
|
||||
@@ -2992,6 +3100,45 @@ async fn provider_query_execute_standard_test_candidate(
|
||||
);
|
||||
provider_request_body
|
||||
}
|
||||
"openai:search" => {
|
||||
let Some(mut provider_request_body) =
|
||||
crate::provider_transport::build_same_format_provider_request_body(
|
||||
crate::provider_transport::SameFormatProviderRequestBodyInput {
|
||||
body_json: &request_body,
|
||||
mapped_model: request_model,
|
||||
client_api_format,
|
||||
provider_api_format,
|
||||
source_model: request_body.get("model").and_then(Value::as_str),
|
||||
family: crate::provider_transport::SameFormatProviderFamily::Standard,
|
||||
body_rules: transport.endpoint.body_rules.as_ref(),
|
||||
request_headers: Some(&incoming_request_headers),
|
||||
upstream_is_stream,
|
||||
force_body_stream_field: require_body_stream_field,
|
||||
kiro_auth_config: None,
|
||||
is_claude_code: false,
|
||||
enable_model_directives: false,
|
||||
},
|
||||
)
|
||||
else {
|
||||
return Ok(provider_query_skipped_execution_outcome(
|
||||
request_body.clone(),
|
||||
format!("Provider request body could not be built for {provider_api_format}"),
|
||||
));
|
||||
};
|
||||
if let Err(err) = crate::provider_transport::apply_transport_request_body_semantics(
|
||||
&mut provider_request_body,
|
||||
&transport,
|
||||
normalized_provider_api_format.as_str(),
|
||||
) {
|
||||
return Ok(provider_query_skipped_execution_outcome(
|
||||
provider_request_body,
|
||||
format!(
|
||||
"Provider request body is not compatible with transport semantics: {err}"
|
||||
),
|
||||
));
|
||||
}
|
||||
provider_request_body
|
||||
}
|
||||
"openai:embedding"
|
||||
| "gemini:embedding"
|
||||
| "jina:embedding"
|
||||
@@ -3046,6 +3193,37 @@ async fn provider_query_execute_standard_test_candidate(
|
||||
upstream_is_stream,
|
||||
require_body_stream_field,
|
||||
);
|
||||
let source_model = provider_query_request_body_model(&request_body, request_model);
|
||||
let codex_model_capabilities = crate::ai_serving::codex_model_capabilities_for_transport(
|
||||
&transport,
|
||||
provider_api_format,
|
||||
request_model,
|
||||
source_model,
|
||||
);
|
||||
if matches!(
|
||||
normalized_provider_api_format.as_str(),
|
||||
"openai:chat" | "openai:responses" | "openai:responses:compact" | "openai:search"
|
||||
) && crate::ai_serving::finalize_openai_provider_request_with_codex_model_capabilities(
|
||||
&mut provider_request_body,
|
||||
crate::ai_serving::OpenAiProviderRequestFinalization {
|
||||
source_api_format: client_api_format,
|
||||
provider_api_format,
|
||||
provider_type: transport.provider.provider_type.as_str(),
|
||||
provider_model: request_model,
|
||||
source_model,
|
||||
body_rules: transport.endpoint.body_rules.as_ref(),
|
||||
upstream_is_stream,
|
||||
require_body_stream_field,
|
||||
},
|
||||
codex_model_capabilities.as_ref(),
|
||||
)
|
||||
.is_err()
|
||||
{
|
||||
return Ok(provider_query_skipped_execution_outcome(
|
||||
provider_request_body,
|
||||
"Provider request body violates the OpenAI provider contract",
|
||||
));
|
||||
}
|
||||
if crate::provider_transport::is_gemini_cli_provider_transport(&transport)
|
||||
&& normalized_provider_api_format == "gemini:generate_content"
|
||||
{
|
||||
@@ -3122,6 +3300,7 @@ async fn provider_query_execute_standard_test_candidate(
|
||||
"openai:chat"
|
||||
| "openai:responses"
|
||||
| "openai:responses:compact"
|
||||
| "openai:search"
|
||||
| "claude:messages"
|
||||
| "gemini:generate_content"
|
||||
| "openai:embedding"
|
||||
@@ -3137,6 +3316,7 @@ async fn provider_query_execute_standard_test_candidate(
|
||||
"openai:chat"
|
||||
| "openai:responses"
|
||||
| "openai:responses:compact"
|
||||
| "openai:search"
|
||||
| "openai:embedding"
|
||||
| "jina:embedding"
|
||||
| "doubao:embedding"
|
||||
@@ -3202,7 +3382,7 @@ async fn provider_query_execute_standard_test_candidate(
|
||||
&BTreeMap::new(),
|
||||
Some("application/json"),
|
||||
),
|
||||
"openai:responses" | "openai:responses:compact" => {
|
||||
"openai:responses" | "openai:responses:compact" | "openai:search" => {
|
||||
crate::provider_transport::auth::build_complete_passthrough_headers_with_auth(
|
||||
&parts.headers,
|
||||
auth_header.as_deref().unwrap_or_default(),
|
||||
@@ -3268,8 +3448,10 @@ async fn provider_query_execute_standard_test_candidate(
|
||||
response_body: None,
|
||||
});
|
||||
}
|
||||
if crate::ai_serving::is_openai_responses_format(provider_api_format) {
|
||||
crate::ai_serving::apply_codex_openai_responses_special_headers(
|
||||
if crate::ai_serving::is_openai_responses_family_format(provider_api_format)
|
||||
|| crate::ai_serving::api_format_alias_matches(provider_api_format, "openai:search")
|
||||
{
|
||||
crate::ai_serving::apply_codex_openai_special_headers(
|
||||
&mut request_headers,
|
||||
&provider_request_body,
|
||||
&parts.headers,
|
||||
@@ -3278,9 +3460,17 @@ async fn provider_query_execute_standard_test_candidate(
|
||||
Some(trace_id),
|
||||
transport.key.decrypted_auth_config.as_deref(),
|
||||
);
|
||||
crate::provider_transport::apply_local_auth_config_header_overrides(
|
||||
let final_provider_model = provider_request_body
|
||||
.get("model")
|
||||
.and_then(Value::as_str)
|
||||
.unwrap_or(request_model);
|
||||
crate::ai_serving::apply_codex_openai_responses_lite_header_with_capabilities(
|
||||
&mut request_headers,
|
||||
transport.key.decrypted_auth_config.as_deref(),
|
||||
transport.provider.provider_type.as_str(),
|
||||
provider_api_format,
|
||||
final_provider_model,
|
||||
source_model,
|
||||
codex_model_capabilities.as_ref(),
|
||||
);
|
||||
}
|
||||
if !uses_vertex_query_auth {
|
||||
|
||||
@@ -33,6 +33,8 @@ pub(super) fn provider_query_standard_test_client_api_format(
|
||||
let normalized_api_format = crate::ai_serving::normalize_api_format_alias(provider_api_format);
|
||||
if normalized_api_format == "openai:responses:compact" {
|
||||
"openai:responses:compact"
|
||||
} else if normalized_api_format == "openai:search" {
|
||||
"openai:search"
|
||||
} else if crate::ai_serving::is_embedding_api_format(&normalized_api_format) {
|
||||
"openai:embedding"
|
||||
} else if crate::ai_serving::is_rerank_api_format(&normalized_api_format) {
|
||||
@@ -71,6 +73,7 @@ pub(super) fn provider_query_standard_test_unsupported_reason(
|
||||
}
|
||||
"openai:responses"
|
||||
| "openai:responses:compact"
|
||||
| "openai:search"
|
||||
| "claude:messages"
|
||||
| "openai:embedding"
|
||||
| "jina:embedding"
|
||||
@@ -261,6 +264,7 @@ pub(super) fn provider_query_test_adapter_for_provider_api_format(
|
||||
"openai:chat"
|
||||
| "openai:responses"
|
||||
| "openai:responses:compact"
|
||||
| "openai:search"
|
||||
| "claude:messages"
|
||||
| "gemini:generate_content"
|
||||
| "gemini:interactions"
|
||||
@@ -365,6 +369,7 @@ pub(super) fn provider_query_transport_supports_model_test_execution(
|
||||
}
|
||||
"openai:responses"
|
||||
| "openai:responses:compact"
|
||||
| "openai:search"
|
||||
| "openai:embedding"
|
||||
| "jina:embedding"
|
||||
| "doubao:embedding"
|
||||
|
||||
+6
-2
@@ -9,16 +9,19 @@ pub(super) struct ProviderQueryOpenAiImageTestCapability(AdminProviderOpenAiImag
|
||||
|
||||
pub(super) fn provider_query_openai_image_test_capability(
|
||||
provider_type: &str,
|
||||
provider_model: Option<&str>,
|
||||
) -> ProviderQueryOpenAiImageTestCapability {
|
||||
ProviderQueryOpenAiImageTestCapability(admin_provider_openai_image_test_capability(
|
||||
provider_type,
|
||||
provider_model,
|
||||
))
|
||||
}
|
||||
|
||||
pub(super) fn provider_query_openai_image_normalize_options(
|
||||
provider_type: &str,
|
||||
provider_model: Option<&str>,
|
||||
) -> crate::ai_serving::OpenAiImageNormalizeOptions {
|
||||
admin_provider_openai_image_normalize_options(provider_type)
|
||||
admin_provider_openai_image_normalize_options(provider_type, provider_model)
|
||||
}
|
||||
|
||||
pub(super) fn provider_query_openai_image_requested_count(request_body: &Value) -> Option<u64> {
|
||||
@@ -35,9 +38,10 @@ pub(super) fn provider_query_openai_image_requested_count(request_body: &Value)
|
||||
|
||||
pub(super) fn provider_query_openai_image_normalize_failure_message(
|
||||
provider_type: &str,
|
||||
provider_model: Option<&str>,
|
||||
request_body: &Value,
|
||||
) -> String {
|
||||
let capability = provider_query_openai_image_test_capability(provider_type);
|
||||
let capability = provider_query_openai_image_test_capability(provider_type, provider_model);
|
||||
if provider_query_openai_image_requested_count(request_body)
|
||||
.is_some_and(|value| !capability.0.supports_generation_count(value))
|
||||
{
|
||||
|
||||
+39
-2
@@ -101,8 +101,7 @@ fn provider_query_model_mapping_matches_endpoint(
|
||||
) -> bool {
|
||||
let api_format_matches = mapping.api_formats.as_ref().is_none_or(|api_formats| {
|
||||
api_formats.iter().any(|value| {
|
||||
aether_scheduler_core::normalize_api_format(value)
|
||||
== aether_scheduler_core::normalize_api_format(&endpoint.api_format)
|
||||
crate::ai_serving::api_format_permission_covers(value, &endpoint.api_format)
|
||||
})
|
||||
});
|
||||
if !api_format_matches {
|
||||
@@ -367,3 +366,41 @@ fn provider_query_parse_mapping_string_list_array(
|
||||
}
|
||||
Ok(parsed)
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
fn sample_endpoint(api_format: &str) -> StoredProviderCatalogEndpoint {
|
||||
StoredProviderCatalogEndpoint::new(
|
||||
"endpoint-1".to_string(),
|
||||
"provider-1".to_string(),
|
||||
api_format.to_string(),
|
||||
None,
|
||||
None,
|
||||
true,
|
||||
)
|
||||
.expect("endpoint should build")
|
||||
}
|
||||
|
||||
fn sample_mapping(api_format: &str) -> StoredProviderModelMapping {
|
||||
StoredProviderModelMapping {
|
||||
name: "gpt-5.6-luna".to_string(),
|
||||
priority: 1,
|
||||
api_formats: Some(vec![api_format.to_string()]),
|
||||
endpoint_ids: None,
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn responses_mapping_scope_covers_search_in_one_direction() {
|
||||
assert!(provider_query_model_mapping_matches_endpoint(
|
||||
&sample_mapping("openai:responses"),
|
||||
&sample_endpoint("openai:search"),
|
||||
));
|
||||
assert!(!provider_query_model_mapping_matches_endpoint(
|
||||
&sample_mapping("openai:search"),
|
||||
&sample_endpoint("openai:responses"),
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
@@ -337,6 +337,11 @@ fn provider_query_standard_test_resolves_codex_responses_upstream_streaming() {
|
||||
"codex",
|
||||
"openai:responses:compact",
|
||||
));
|
||||
assert!(!provider_query_resolve_standard_test_upstream_is_stream(
|
||||
Some(&json!({"upstream_stream_policy": "force_stream"})),
|
||||
"codex",
|
||||
"openai:responses:compact",
|
||||
));
|
||||
assert!(!provider_query_resolve_standard_test_upstream_is_stream(
|
||||
None,
|
||||
"custom",
|
||||
@@ -470,6 +475,118 @@ fn provider_query_compact_test_request_body_defaults_to_responses_input() {
|
||||
assert!(body.get("messages").is_none());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn provider_query_search_test_request_body_defaults_to_typed_search_input() {
|
||||
let payload = json!({"message": "find current documentation"});
|
||||
|
||||
let client_api_format = provider_query_standard_test_client_api_format("openai:search");
|
||||
let body = provider_query_build_test_request_body_for_api_format(
|
||||
&payload,
|
||||
"gpt-5.6-sol",
|
||||
"/api/admin/provider-query/test-model",
|
||||
client_api_format,
|
||||
);
|
||||
|
||||
assert_eq!(client_api_format, "openai:search");
|
||||
assert!(body["id"]
|
||||
.as_str()
|
||||
.is_some_and(|value| value.starts_with("aether-model-test-")));
|
||||
assert_eq!(body["model"], json!("gpt-5.6-sol"));
|
||||
assert_eq!(body["input"], json!("find current documentation"));
|
||||
assert_eq!(
|
||||
body["commands"]["search_query"][0]["q"],
|
||||
json!("find current documentation")
|
||||
);
|
||||
assert_eq!(body["max_output_tokens"], json!(256));
|
||||
assert!(body.get("messages").is_none());
|
||||
assert!(body.get("stream").is_none());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn provider_query_search_test_completes_missing_protocol_fields() {
|
||||
let payload = json!({
|
||||
"request_body": {
|
||||
"model": "gpt-5.6-luna",
|
||||
"input": "find release notes"
|
||||
}
|
||||
});
|
||||
|
||||
let body = provider_query_build_test_request_body_for_api_format_with_search_session(
|
||||
&payload,
|
||||
"gpt-5.6-luna",
|
||||
"/api/admin/provider-query/test-model",
|
||||
"openai:search",
|
||||
Some("trace-model-test-1"),
|
||||
);
|
||||
|
||||
assert_eq!(body["id"], json!("aether-model-test-trace-model-test-1"));
|
||||
assert_eq!(
|
||||
body["commands"]["search_query"][0]["q"],
|
||||
json!("find release notes")
|
||||
);
|
||||
assert_eq!(body["max_output_tokens"], json!(256));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn provider_query_search_test_preserves_a_non_empty_client_session_id() {
|
||||
let payload = json!({
|
||||
"request_body": {
|
||||
"id": "client-search-session",
|
||||
"model": "gpt-5.6-luna",
|
||||
"input": "find release notes"
|
||||
}
|
||||
});
|
||||
|
||||
let body = provider_query_build_test_request_body_for_api_format_with_search_session(
|
||||
&payload,
|
||||
"gpt-5.6-luna",
|
||||
"/api/admin/provider-query/test-model",
|
||||
"openai:search",
|
||||
Some("trace-model-test-1"),
|
||||
);
|
||||
|
||||
assert_eq!(body["id"], json!("client-search-session"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn provider_query_search_success_requires_non_empty_output() {
|
||||
fn result(body: Value) -> aether_contracts::ExecutionResult {
|
||||
aether_contracts::ExecutionResult {
|
||||
request_id: "provider-search-test".to_string(),
|
||||
candidate_id: Some("candidate-0".to_string()),
|
||||
status_code: 200,
|
||||
headers: BTreeMap::new(),
|
||||
body: Some(aether_contracts::ResponseBody {
|
||||
json_body: Some(body),
|
||||
body_bytes_b64: None,
|
||||
}),
|
||||
telemetry: None,
|
||||
error: None,
|
||||
}
|
||||
}
|
||||
|
||||
assert!(provider_query_standard_execution_response_body(
|
||||
"openai:search",
|
||||
&result(json!({})),
|
||||
None,
|
||||
)
|
||||
.is_none());
|
||||
assert!(provider_query_standard_execution_response_body(
|
||||
"openai:search",
|
||||
&result(json!({"output": " "})),
|
||||
None,
|
||||
)
|
||||
.is_none());
|
||||
assert_eq!(
|
||||
provider_query_standard_execution_response_body(
|
||||
"openai:search",
|
||||
&result(json!({"output": "search result", "encrypted_output": "ciphertext"})),
|
||||
None,
|
||||
),
|
||||
Some(json!({"output": "search result", "encrypted_output": "ciphertext"}))
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn provider_query_embedding_test_request_body_defaults_to_embedding_input() {
|
||||
let payload = json!({"message": "hello from embedding"});
|
||||
@@ -632,6 +749,10 @@ fn provider_query_test_adapter_routes_fixed_provider_endpoint_types() {
|
||||
provider_query_test_adapter_for_provider_api_format("codex", "openai:responses:compact"),
|
||||
Some(ProviderQueryTestAdapter::Standard)
|
||||
);
|
||||
assert_eq!(
|
||||
provider_query_test_adapter_for_provider_api_format("codex", "openai:search"),
|
||||
Some(ProviderQueryTestAdapter::Standard)
|
||||
);
|
||||
assert_eq!(
|
||||
provider_query_test_adapter_for_provider_api_format("chatgpt_web", "openai:image"),
|
||||
Some(ProviderQueryTestAdapter::OpenAiImage)
|
||||
@@ -717,6 +838,10 @@ fn provider_query_endpoint_priority_prefers_text_before_cli_and_image() {
|
||||
provider_query_model_test_endpoint_priority("codex", "openai:responses:compact"),
|
||||
Some(1)
|
||||
);
|
||||
assert_eq!(
|
||||
provider_query_model_test_endpoint_priority("codex", "openai:search"),
|
||||
Some(1)
|
||||
);
|
||||
assert_eq!(
|
||||
provider_query_model_test_endpoint_priority("chatgpt_web", "openai:image"),
|
||||
Some(2)
|
||||
@@ -997,7 +1122,7 @@ fn provider_query_grok_image_test_allows_multi_generation_count() {
|
||||
&parts,
|
||||
&body,
|
||||
None,
|
||||
provider_query_openai_image_normalize_options("grok"),
|
||||
provider_query_openai_image_normalize_options("grok", Some("grok-imagine-image")),
|
||||
)
|
||||
.expect("grok image model tests should allow multi-image generation");
|
||||
let provider_body = crate::ai_serving::build_openai_image_provider_request_body(&normalized);
|
||||
@@ -1065,12 +1190,48 @@ fn provider_query_non_grok_image_test_keeps_single_generation_boundary() {
|
||||
&parts,
|
||||
&body,
|
||||
None,
|
||||
provider_query_openai_image_normalize_options("chatgpt_web"),
|
||||
provider_query_openai_image_normalize_options("chatgpt_web", Some("gpt-image-2")),
|
||||
)
|
||||
.is_none()
|
||||
);
|
||||
assert_eq!(
|
||||
provider_query_openai_image_normalize_failure_message("chatgpt_web", &body),
|
||||
provider_query_openai_image_normalize_failure_message(
|
||||
"chatgpt_web",
|
||||
Some("gpt-image-2"),
|
||||
&body,
|
||||
),
|
||||
"Provider request body could not be normalized for openai:image: selected provider supports n=1..1 for generation"
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn provider_query_dall_e_3_image_test_keeps_single_generation_boundary() {
|
||||
let request = http::Request::builder()
|
||||
.uri("/v1/images/generations")
|
||||
.body(())
|
||||
.expect("request should build");
|
||||
let (parts, _) = request.into_parts();
|
||||
let body = json!({
|
||||
"model": "dall-e-3",
|
||||
"prompt": "draw",
|
||||
"n": 2
|
||||
});
|
||||
|
||||
assert!(
|
||||
crate::ai_serving::normalize_openai_image_request_with_options(
|
||||
&parts,
|
||||
&body,
|
||||
None,
|
||||
provider_query_openai_image_normalize_options("openai", Some("dall-e-3")),
|
||||
)
|
||||
.is_none()
|
||||
);
|
||||
assert_eq!(
|
||||
provider_query_openai_image_normalize_failure_message(
|
||||
"openai",
|
||||
Some("dall-e-3"),
|
||||
&body,
|
||||
),
|
||||
"Provider request body could not be normalized for openai:image: selected provider supports n=1..1 for generation"
|
||||
);
|
||||
}
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
use crate::image_capabilities::{
|
||||
openai_image_normalize_options_for_provider, openai_image_provider_max_generation_count,
|
||||
openai_image_normalize_options_for_provider,
|
||||
openai_image_provider_max_generation_count_for_model,
|
||||
};
|
||||
use serde_json::{json, Value};
|
||||
|
||||
@@ -24,16 +25,21 @@ impl AdminProviderOpenAiImageTestCapability {
|
||||
|
||||
pub(crate) fn admin_provider_openai_image_test_capability(
|
||||
provider_type: &str,
|
||||
provider_model: Option<&str>,
|
||||
) -> AdminProviderOpenAiImageTestCapability {
|
||||
AdminProviderOpenAiImageTestCapability {
|
||||
max_generation_count: openai_image_provider_max_generation_count(provider_type),
|
||||
max_generation_count: openai_image_provider_max_generation_count_for_model(
|
||||
provider_type,
|
||||
provider_model,
|
||||
),
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn admin_provider_openai_image_normalize_options(
|
||||
provider_type: &str,
|
||||
provider_model: Option<&str>,
|
||||
) -> crate::ai_serving::OpenAiImageNormalizeOptions {
|
||||
openai_image_normalize_options_for_provider(provider_type)
|
||||
openai_image_normalize_options_for_provider(provider_type, provider_model)
|
||||
}
|
||||
|
||||
pub(crate) fn admin_provider_model_test_capabilities_payload(
|
||||
@@ -47,7 +53,7 @@ pub(crate) fn admin_provider_model_test_capabilities_payload(
|
||||
provider_type.eq_ignore_ascii_case("grok") && model_id == GROK_IMAGE_EDIT_MODEL_ID;
|
||||
let openai_image = if supports_image_generation {
|
||||
Some(json!({
|
||||
"max_generation_count": admin_provider_openai_image_test_capability(provider_type).max_generation_count,
|
||||
"max_generation_count": admin_provider_openai_image_test_capability(provider_type, Some(model_id)).max_generation_count,
|
||||
"supports_generation": !is_grok_image_edit,
|
||||
"supports_edit": is_grok_image_edit,
|
||||
}))
|
||||
@@ -105,6 +111,13 @@ mod tests {
|
||||
assert!(payload["openai:image"].is_null());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn dall_e_3_reports_its_model_specific_generation_limit() {
|
||||
let payload = admin_provider_model_test_capabilities_payload("openai", "dall-e-3", true);
|
||||
|
||||
assert_eq!(payload["openai:image"]["max_generation_count"], 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn grok_image_support_uses_catalog_model_ids_not_global_fallback() {
|
||||
assert!(admin_provider_model_supports_image_generation(
|
||||
|
||||
@@ -2,7 +2,7 @@ use crate::handlers::admin::provider::shared::payloads::AdminProviderKeyCreateRe
|
||||
use crate::handlers::admin::provider::write::normalize::{
|
||||
normalize_allow_auth_channel_mismatch_formats, normalize_api_format_json_object_keys,
|
||||
normalize_api_format_list, normalize_auth_type, normalize_auth_type_by_format,
|
||||
normalize_max_probe_interval_minutes, validate_vertex_api_formats,
|
||||
normalize_max_probe_interval_minutes, normalize_rate_multipliers, validate_vertex_api_formats,
|
||||
};
|
||||
use crate::handlers::admin::request::AdminAppState;
|
||||
use crate::handlers::admin::shared::{
|
||||
@@ -165,7 +165,7 @@ pub(crate) async fn build_admin_create_provider_key_record(
|
||||
},
|
||||
encrypted_api_key,
|
||||
encrypted_auth_config,
|
||||
normalize_api_format_json_object_keys(payload.rate_multipliers, "rate_multipliers")?,
|
||||
normalize_rate_multipliers(payload.rate_multipliers)?,
|
||||
None,
|
||||
normalize_string_list(payload.allowed_models).map(|value| json!(value)),
|
||||
None,
|
||||
|
||||
@@ -2,7 +2,7 @@ use crate::handlers::admin::provider::shared::payloads::AdminProviderKeyUpdatePa
|
||||
use crate::handlers::admin::provider::write::normalize::{
|
||||
normalize_allow_auth_channel_mismatch_formats, normalize_api_format_json_object_keys,
|
||||
normalize_api_format_list, normalize_auth_type, normalize_auth_type_by_format,
|
||||
normalize_max_probe_interval_minutes, validate_vertex_api_formats,
|
||||
normalize_max_probe_interval_minutes, normalize_rate_multipliers, validate_vertex_api_formats,
|
||||
};
|
||||
use crate::handlers::admin::request::AdminAppState;
|
||||
use crate::handlers::admin::shared::{
|
||||
@@ -260,8 +260,7 @@ pub(crate) async fn build_admin_update_provider_key_record(
|
||||
updated.name = trimmed.to_string();
|
||||
}
|
||||
if fields.contains("rate_multipliers") {
|
||||
updated.rate_multipliers =
|
||||
normalize_api_format_json_object_keys(payload.rate_multipliers, "rate_multipliers")?;
|
||||
updated.rate_multipliers = normalize_rate_multipliers(payload.rate_multipliers)?;
|
||||
}
|
||||
if let Some(internal_priority) = payload.internal_priority {
|
||||
updated.internal_priority = internal_priority;
|
||||
|
||||
@@ -42,6 +42,31 @@ pub(crate) fn normalize_api_format_json_object_keys(
|
||||
Ok(Some(serde_json::Value::Object(normalized)))
|
||||
}
|
||||
|
||||
pub(crate) fn normalize_rate_multipliers(
|
||||
value: Option<serde_json::Value>,
|
||||
) -> Result<Option<serde_json::Value>, String> {
|
||||
let Some(value) = normalize_json_like_object(value, "rate_multipliers")? else {
|
||||
return Ok(None);
|
||||
};
|
||||
let serde_json::Value::Object(map) = value else {
|
||||
return Ok(Some(value));
|
||||
};
|
||||
let mut normalized = serde_json::Map::new();
|
||||
for (key, value) in map {
|
||||
let canonical = crate::ai_serving::normalize_api_format_alias(&key);
|
||||
let multiplier = value
|
||||
.as_f64()
|
||||
.filter(|value| value.is_finite() && *value >= 0.0)
|
||||
.ok_or_else(|| format!("rate_multipliers.{canonical} 必须是大于或等于 0 的有限数值"))?;
|
||||
normalized.insert(canonical, serde_json::Value::from(multiplier));
|
||||
}
|
||||
if normalized.is_empty() {
|
||||
Ok(None)
|
||||
} else {
|
||||
Ok(Some(serde_json::Value::Object(normalized)))
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn normalize_auth_type_by_format(
|
||||
value: Option<serde_json::Value>,
|
||||
field_name: &str,
|
||||
@@ -212,7 +237,7 @@ mod tests {
|
||||
normalize_allow_auth_channel_mismatch_formats, normalize_api_format_json_object_keys,
|
||||
normalize_api_format_list, normalize_auth_type, normalize_auth_type_by_format,
|
||||
normalize_chat_pii_redaction_config, normalize_pool_advanced_config,
|
||||
normalize_provider_type_input, validate_vertex_api_formats,
|
||||
normalize_provider_type_input, normalize_rate_multipliers, validate_vertex_api_formats,
|
||||
};
|
||||
use serde_json::json;
|
||||
|
||||
@@ -224,6 +249,21 @@ mod tests {
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn rate_multipliers_require_non_negative_finite_numbers() {
|
||||
assert_eq!(
|
||||
normalize_rate_multipliers(Some(json!({" OPENAI:RESPONSES ": 1.25})))
|
||||
.expect("valid multiplier should normalize"),
|
||||
Some(json!({"openai:responses": 1.25}))
|
||||
);
|
||||
for value in [
|
||||
json!({"openai:responses": -0.1}),
|
||||
json!({"openai:responses": "1.0"}),
|
||||
] {
|
||||
assert!(normalize_rate_multipliers(Some(value)).is_err());
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn normalize_pool_advanced_rejects_legacy_booleans() {
|
||||
assert_eq!(
|
||||
|
||||
@@ -3,11 +3,79 @@ mod endpoint;
|
||||
mod template;
|
||||
mod update;
|
||||
|
||||
fn normalize_provider_request_timeout(value: Option<f64>) -> Result<Option<f64>, String> {
|
||||
let max = aether_contracts::MAX_EXECUTION_REQUEST_TIMEOUT_SECS as f64;
|
||||
match value {
|
||||
Some(value) if (1.0..=max).contains(&value) => Ok(Some(value)),
|
||||
Some(_) => Err(format!(
|
||||
"request_timeout 必须是 1 到 {} 之间的数字",
|
||||
aether_contracts::MAX_EXECUTION_REQUEST_TIMEOUT_SECS
|
||||
)),
|
||||
None => Ok(None),
|
||||
}
|
||||
}
|
||||
|
||||
fn normalize_provider_stream_first_byte_timeout(value: Option<f64>) -> Result<Option<f64>, String> {
|
||||
let max = aether_contracts::MAX_EXECUTION_STREAM_FIRST_BYTE_TIMEOUT_SECS as f64;
|
||||
match value {
|
||||
Some(value) if (1.0..=max).contains(&value) => Ok(Some(value)),
|
||||
Some(_) => Err(format!(
|
||||
"stream_first_byte_timeout 必须是 1 到 {} 之间的数字",
|
||||
aether_contracts::MAX_EXECUTION_STREAM_FIRST_BYTE_TIMEOUT_SECS
|
||||
)),
|
||||
None => Ok(None),
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) use self::create::build_admin_create_provider_record;
|
||||
pub(crate) use self::endpoint::build_admin_fixed_provider_endpoint_record;
|
||||
pub(crate) use self::template::{
|
||||
apply_admin_fixed_provider_endpoint_template_overrides,
|
||||
reconcile_admin_fixed_provider_template_endpoints,
|
||||
reconcile_admin_fixed_provider_template_keys,
|
||||
reconcile_admin_fixed_provider_template_endpoints_after_update,
|
||||
};
|
||||
pub(crate) use self::update::build_admin_update_provider_record;
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::{normalize_provider_request_timeout, normalize_provider_stream_first_byte_timeout};
|
||||
|
||||
#[test]
|
||||
fn provider_request_timeout_accepts_the_execution_protocol_range() {
|
||||
assert_eq!(normalize_provider_request_timeout(Some(1.0)), Ok(Some(1.0)));
|
||||
assert_eq!(
|
||||
normalize_provider_request_timeout(Some(
|
||||
aether_contracts::MAX_EXECUTION_REQUEST_TIMEOUT_SECS as f64,
|
||||
)),
|
||||
Ok(Some(
|
||||
aether_contracts::MAX_EXECUTION_REQUEST_TIMEOUT_SECS as f64,
|
||||
))
|
||||
);
|
||||
assert!(normalize_provider_request_timeout(Some(0.0)).is_err());
|
||||
assert!(normalize_provider_request_timeout(Some(
|
||||
aether_contracts::MAX_EXECUTION_REQUEST_TIMEOUT_SECS as f64 + 1.0,
|
||||
))
|
||||
.is_err());
|
||||
assert!(normalize_provider_request_timeout(Some(f64::NAN)).is_err());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn provider_stream_first_byte_timeout_keeps_its_protocol_range() {
|
||||
assert_eq!(
|
||||
normalize_provider_stream_first_byte_timeout(Some(1.0)),
|
||||
Ok(Some(1.0))
|
||||
);
|
||||
assert_eq!(
|
||||
normalize_provider_stream_first_byte_timeout(Some(
|
||||
aether_contracts::MAX_EXECUTION_STREAM_FIRST_BYTE_TIMEOUT_SECS as f64,
|
||||
)),
|
||||
Ok(Some(
|
||||
aether_contracts::MAX_EXECUTION_STREAM_FIRST_BYTE_TIMEOUT_SECS as f64,
|
||||
))
|
||||
);
|
||||
assert!(normalize_provider_stream_first_byte_timeout(Some(
|
||||
aether_contracts::MAX_EXECUTION_STREAM_FIRST_BYTE_TIMEOUT_SECS as f64 + 1.0,
|
||||
))
|
||||
.is_err());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -107,16 +107,9 @@ pub(crate) async fn build_admin_create_provider_record(
|
||||
None => Some(2),
|
||||
};
|
||||
let proxy = normalize_json_object(payload.proxy, "proxy")?;
|
||||
let stream_first_byte_timeout_secs = match payload.stream_first_byte_timeout {
|
||||
Some(value) if (1.0..=300.0).contains(&value) => Some(value),
|
||||
Some(_) => return Err("stream_first_byte_timeout 必须是 1 到 300 之间的数字".to_string()),
|
||||
None => None,
|
||||
};
|
||||
let request_timeout_secs = match payload.request_timeout {
|
||||
Some(value) if (1.0..=600.0).contains(&value) => Some(value),
|
||||
Some(_) => return Err("request_timeout 必须是 1 到 600 之间的数字".to_string()),
|
||||
None => None,
|
||||
};
|
||||
let stream_first_byte_timeout_secs =
|
||||
super::normalize_provider_stream_first_byte_timeout(payload.stream_first_byte_timeout)?;
|
||||
let request_timeout_secs = super::normalize_provider_request_timeout(payload.request_timeout)?;
|
||||
|
||||
let mut config_map = normalize_json_object(payload.config, "config")?
|
||||
.and_then(|value| value.as_object().cloned())
|
||||
|
||||
@@ -1,11 +1,11 @@
|
||||
use super::endpoint::{
|
||||
build_admin_fixed_provider_endpoint_defaults, build_admin_fixed_provider_endpoint_record,
|
||||
AdminFixedProviderEndpointDefaults,
|
||||
};
|
||||
use crate::handlers::admin::request::AdminAppState;
|
||||
use crate::provider_key_auth::provider_key_is_oauth_managed;
|
||||
use crate::GatewayError;
|
||||
use aether_data_contracts::repository::provider_catalog::{
|
||||
StoredProviderCatalogEndpoint, StoredProviderCatalogKey, StoredProviderCatalogProvider,
|
||||
StoredProviderCatalogEndpoint, StoredProviderCatalogProvider,
|
||||
};
|
||||
use aether_provider_transport::provider_types::{
|
||||
fixed_provider_template, FixedProviderEndpointTemplate, FixedProviderTemplate,
|
||||
@@ -36,6 +36,30 @@ struct FixedProviderEndpointMetadata {
|
||||
pub(crate) async fn reconcile_admin_fixed_provider_template_endpoints(
|
||||
state: &AdminAppState<'_>,
|
||||
provider: &StoredProviderCatalogProvider,
|
||||
) -> Result<(), GatewayError> {
|
||||
reconcile_admin_fixed_provider_template_endpoints_with_adoption_provider(
|
||||
state, provider, provider,
|
||||
)
|
||||
.await
|
||||
}
|
||||
|
||||
pub(crate) async fn reconcile_admin_fixed_provider_template_endpoints_after_update(
|
||||
state: &AdminAppState<'_>,
|
||||
previous_provider: &StoredProviderCatalogProvider,
|
||||
updated_provider: &StoredProviderCatalogProvider,
|
||||
) -> Result<(), GatewayError> {
|
||||
reconcile_admin_fixed_provider_template_endpoints_with_adoption_provider(
|
||||
state,
|
||||
updated_provider,
|
||||
previous_provider,
|
||||
)
|
||||
.await
|
||||
}
|
||||
|
||||
async fn reconcile_admin_fixed_provider_template_endpoints_with_adoption_provider(
|
||||
state: &AdminAppState<'_>,
|
||||
provider: &StoredProviderCatalogProvider,
|
||||
adoption_provider: &StoredProviderCatalogProvider,
|
||||
) -> Result<(), GatewayError> {
|
||||
let Some(template) = state.fixed_provider_template(&provider.provider_type) else {
|
||||
return Ok(());
|
||||
@@ -53,8 +77,9 @@ pub(crate) async fn reconcile_admin_fixed_provider_template_endpoints(
|
||||
match existing_endpoint {
|
||||
Some(existing_endpoint) => {
|
||||
matched_endpoint_ids.insert(existing_endpoint.id.clone());
|
||||
let updated = reconcile_fixed_provider_endpoint(
|
||||
let updated = reconcile_fixed_provider_endpoint_with_adoption_provider(
|
||||
provider,
|
||||
adoption_provider,
|
||||
existing_endpoint,
|
||||
template,
|
||||
endpoint_template,
|
||||
@@ -115,31 +140,6 @@ pub(crate) async fn reconcile_admin_fixed_provider_template_endpoints(
|
||||
Ok(())
|
||||
}
|
||||
|
||||
pub(crate) async fn reconcile_admin_fixed_provider_template_keys(
|
||||
state: &AdminAppState<'_>,
|
||||
provider: &StoredProviderCatalogProvider,
|
||||
) -> Result<(), GatewayError> {
|
||||
let Some(_) = state.fixed_provider_template(&provider.provider_type) else {
|
||||
return Ok(());
|
||||
};
|
||||
|
||||
let existing_keys = state
|
||||
.list_provider_catalog_keys_by_provider_ids(std::slice::from_ref(&provider.id))
|
||||
.await?;
|
||||
for existing_key in existing_keys {
|
||||
let Some(updated_key) = reconcile_fixed_provider_key(provider, &existing_key) else {
|
||||
continue;
|
||||
};
|
||||
let Some(_) = state.update_provider_catalog_key(&updated_key).await? else {
|
||||
return Err(GatewayError::Internal(
|
||||
"provider catalog key writer unavailable".to_string(),
|
||||
));
|
||||
};
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
pub(crate) fn apply_admin_fixed_provider_endpoint_template_overrides(
|
||||
provider: &StoredProviderCatalogProvider,
|
||||
existing_endpoint: &StoredProviderCatalogEndpoint,
|
||||
@@ -156,8 +156,14 @@ pub(crate) fn apply_admin_fixed_provider_endpoint_template_overrides(
|
||||
|
||||
let defaults =
|
||||
build_admin_fixed_provider_endpoint_defaults(provider, template, endpoint_template)?;
|
||||
let mut metadata = fixed_provider_endpoint_metadata(existing_endpoint)
|
||||
.unwrap_or_else(|| managed_fixed_provider_endpoint_metadata(template, endpoint_template));
|
||||
let mut metadata = fixed_provider_endpoint_metadata(existing_endpoint).unwrap_or_else(|| {
|
||||
adopt_fixed_provider_endpoint_metadata(
|
||||
existing_endpoint,
|
||||
&defaults,
|
||||
template,
|
||||
endpoint_template,
|
||||
)
|
||||
});
|
||||
let mut overrides = metadata.overrides.clone();
|
||||
|
||||
sync_override_if_changed(
|
||||
@@ -250,17 +256,48 @@ pub(crate) fn apply_admin_fixed_provider_endpoint_template_overrides(
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
fn reconcile_fixed_provider_endpoint(
|
||||
provider: &StoredProviderCatalogProvider,
|
||||
existing_endpoint: &StoredProviderCatalogEndpoint,
|
||||
template: &FixedProviderTemplate,
|
||||
endpoint_template: &FixedProviderEndpointTemplate,
|
||||
) -> Result<StoredProviderCatalogEndpoint, String> {
|
||||
reconcile_fixed_provider_endpoint_with_adoption_provider(
|
||||
provider,
|
||||
provider,
|
||||
existing_endpoint,
|
||||
template,
|
||||
endpoint_template,
|
||||
)
|
||||
}
|
||||
|
||||
fn reconcile_fixed_provider_endpoint_with_adoption_provider(
|
||||
provider: &StoredProviderCatalogProvider,
|
||||
adoption_provider: &StoredProviderCatalogProvider,
|
||||
existing_endpoint: &StoredProviderCatalogEndpoint,
|
||||
template: &FixedProviderTemplate,
|
||||
endpoint_template: &FixedProviderEndpointTemplate,
|
||||
) -> Result<StoredProviderCatalogEndpoint, String> {
|
||||
let defaults =
|
||||
build_admin_fixed_provider_endpoint_defaults(provider, template, endpoint_template)?;
|
||||
let mut updated = existing_endpoint.clone();
|
||||
let metadata = fixed_provider_endpoint_metadata(existing_endpoint)
|
||||
.unwrap_or_else(|| managed_fixed_provider_endpoint_metadata(template, endpoint_template));
|
||||
let metadata = match fixed_provider_endpoint_metadata(existing_endpoint) {
|
||||
Some(metadata) => metadata,
|
||||
None => {
|
||||
let adoption_defaults = build_admin_fixed_provider_endpoint_defaults(
|
||||
adoption_provider,
|
||||
template,
|
||||
endpoint_template,
|
||||
)?;
|
||||
adopt_fixed_provider_endpoint_metadata(
|
||||
existing_endpoint,
|
||||
&adoption_defaults,
|
||||
template,
|
||||
endpoint_template,
|
||||
)
|
||||
}
|
||||
};
|
||||
|
||||
updated.api_format = defaults.api_format.clone();
|
||||
updated.api_family = Some(defaults.api_family.clone());
|
||||
@@ -455,6 +492,77 @@ fn managed_fixed_provider_endpoint_metadata(
|
||||
}
|
||||
}
|
||||
|
||||
fn adopt_fixed_provider_endpoint_metadata(
|
||||
existing_endpoint: &StoredProviderCatalogEndpoint,
|
||||
defaults: &AdminFixedProviderEndpointDefaults,
|
||||
template: &FixedProviderTemplate,
|
||||
endpoint_template: &FixedProviderEndpointTemplate,
|
||||
) -> FixedProviderEndpointMetadata {
|
||||
let mut metadata = managed_fixed_provider_endpoint_metadata(template, endpoint_template);
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
OVERRIDE_BASE_URL,
|
||||
&existing_endpoint.base_url,
|
||||
&defaults.base_url,
|
||||
);
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
OVERRIDE_CUSTOM_PATH,
|
||||
&existing_endpoint.custom_path,
|
||||
&defaults.custom_path,
|
||||
);
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
OVERRIDE_HEADER_RULES,
|
||||
&existing_endpoint.header_rules,
|
||||
&defaults.header_rules,
|
||||
);
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
OVERRIDE_BODY_RULES,
|
||||
&existing_endpoint.body_rules,
|
||||
&defaults.body_rules,
|
||||
);
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
OVERRIDE_MAX_RETRIES,
|
||||
&existing_endpoint.max_retries,
|
||||
&defaults.max_retries,
|
||||
);
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
OVERRIDE_IS_ACTIVE,
|
||||
&existing_endpoint.is_active,
|
||||
&defaults.is_active,
|
||||
);
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
OVERRIDE_PROXY,
|
||||
&existing_endpoint.proxy,
|
||||
&defaults.proxy,
|
||||
);
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
OVERRIDE_FORMAT_ACCEPTANCE_CONFIG,
|
||||
&existing_endpoint.format_acceptance_config,
|
||||
&defaults.format_acceptance_config,
|
||||
);
|
||||
|
||||
let existing_config = endpoint_config_without_metadata(existing_endpoint.config.as_ref());
|
||||
for (key, desired) in fixed_provider_endpoint_config_defaults(endpoint_template) {
|
||||
let Some(actual) = existing_config.get(&key) else {
|
||||
continue;
|
||||
};
|
||||
sync_override(
|
||||
&mut metadata.overrides,
|
||||
&config_override_key(&key),
|
||||
actual,
|
||||
&desired,
|
||||
);
|
||||
}
|
||||
metadata
|
||||
}
|
||||
|
||||
fn upsert_fixed_provider_endpoint_metadata(
|
||||
endpoint: &mut StoredProviderCatalogEndpoint,
|
||||
metadata: &FixedProviderEndpointMetadata,
|
||||
@@ -513,22 +621,6 @@ fn current_unix_secs() -> u64 {
|
||||
.unwrap_or(0)
|
||||
}
|
||||
|
||||
fn reconcile_fixed_provider_key(
|
||||
provider: &StoredProviderCatalogProvider,
|
||||
existing_key: &StoredProviderCatalogKey,
|
||||
) -> Option<StoredProviderCatalogKey> {
|
||||
if !provider_key_is_oauth_managed(existing_key, &provider.provider_type)
|
||||
|| existing_key.api_formats.is_none()
|
||||
{
|
||||
return None;
|
||||
}
|
||||
|
||||
let mut updated = existing_key.clone();
|
||||
updated.api_formats = None;
|
||||
updated.updated_at_unix_secs = Some(current_unix_secs());
|
||||
Some(updated)
|
||||
}
|
||||
|
||||
fn sync_override<T>(overrides: &mut BTreeSet<String>, key: &str, actual: &T, desired: &T)
|
||||
where
|
||||
T: PartialEq,
|
||||
@@ -624,4 +716,68 @@ mod tests {
|
||||
.expect("endpoint should reconcile");
|
||||
assert_eq!(reconciled.base_url, "http://127.0.0.1:18181/v1");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn fixed_provider_endpoint_reconcile_adopts_existing_customization() {
|
||||
let provider = sample_codex_provider();
|
||||
let template = fixed_provider_template("codex").expect("codex template should exist");
|
||||
let endpoint_template = template
|
||||
.endpoints
|
||||
.iter()
|
||||
.find(|endpoint| endpoint.api_format == "openai:responses")
|
||||
.expect("responses endpoint template should exist");
|
||||
|
||||
let mut existing = sample_codex_endpoint("http://127.0.0.1:18181/backend-api/codex");
|
||||
existing.is_active = false;
|
||||
existing.max_retries = Some(9);
|
||||
existing.proxy = Some(serde_json::json!({"url": "http://proxy.internal:8080"}));
|
||||
existing.config = Some(serde_json::json!({
|
||||
"upstream_stream_policy": "force_non_stream",
|
||||
"custom_transport_option": true
|
||||
}));
|
||||
|
||||
let reconciled =
|
||||
reconcile_fixed_provider_endpoint(&provider, &existing, template, endpoint_template)
|
||||
.expect("endpoint should reconcile");
|
||||
assert_eq!(
|
||||
reconciled.base_url,
|
||||
"http://127.0.0.1:18181/backend-api/codex"
|
||||
);
|
||||
assert!(!reconciled.is_active);
|
||||
assert_eq!(reconciled.max_retries, Some(9));
|
||||
assert_eq!(
|
||||
reconciled.proxy,
|
||||
Some(serde_json::json!({"url": "http://proxy.internal:8080"}))
|
||||
);
|
||||
assert_eq!(
|
||||
reconciled
|
||||
.config
|
||||
.as_ref()
|
||||
.and_then(|value| value.get("upstream_stream_policy")),
|
||||
Some(&serde_json::json!("force_non_stream"))
|
||||
);
|
||||
assert_eq!(
|
||||
reconciled
|
||||
.config
|
||||
.as_ref()
|
||||
.and_then(|value| value.get("custom_transport_option")),
|
||||
Some(&serde_json::json!(true))
|
||||
);
|
||||
let metadata = fixed_provider_endpoint_metadata(&reconciled)
|
||||
.expect("fixed provider metadata should exist");
|
||||
for key in [
|
||||
"base_url",
|
||||
"is_active",
|
||||
"max_retries",
|
||||
"proxy",
|
||||
"config.upstream_stream_policy",
|
||||
] {
|
||||
assert!(metadata.overrides.contains(key), "missing override {key}");
|
||||
}
|
||||
|
||||
let second =
|
||||
reconcile_fixed_provider_endpoint(&provider, &reconciled, template, endpoint_template)
|
||||
.expect("endpoint should reconcile idempotently");
|
||||
assert_eq!(second, reconciled);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -202,21 +202,13 @@ pub(crate) async fn build_admin_update_provider_record(
|
||||
}
|
||||
|
||||
if fields.contains("stream_first_byte_timeout") {
|
||||
updated.stream_first_byte_timeout_secs = match payload.stream_first_byte_timeout {
|
||||
Some(value) if (1.0..=300.0).contains(&value) => Some(value),
|
||||
Some(_) => {
|
||||
return Err("stream_first_byte_timeout 必须是 1 到 300 之间的数字".to_string());
|
||||
}
|
||||
None => None,
|
||||
};
|
||||
updated.stream_first_byte_timeout_secs =
|
||||
super::normalize_provider_stream_first_byte_timeout(payload.stream_first_byte_timeout)?;
|
||||
}
|
||||
|
||||
if fields.contains("request_timeout") {
|
||||
updated.request_timeout_secs = match payload.request_timeout {
|
||||
Some(value) if (1.0..=600.0).contains(&value) => Some(value),
|
||||
Some(_) => return Err("request_timeout 必须是 1 到 600 之间的数字".to_string()),
|
||||
None => None,
|
||||
};
|
||||
updated.request_timeout_secs =
|
||||
super::normalize_provider_request_timeout(payload.request_timeout)?;
|
||||
}
|
||||
|
||||
if fields.contains("enable_format_conversion") {
|
||||
|
||||
@@ -1,5 +1,26 @@
|
||||
use super::*;
|
||||
|
||||
fn validate_admin_endpoint_stream_policy(
|
||||
api_format: &str,
|
||||
config: Option<&serde_json::Value>,
|
||||
) -> Result<(), String> {
|
||||
if !crate::ai_serving::api_format_alias_matches(api_format, "openai:search") {
|
||||
return Ok(());
|
||||
}
|
||||
let requested = config
|
||||
.and_then(serde_json::Value::as_object)
|
||||
.and_then(|config| {
|
||||
config
|
||||
.get("upstream_stream_policy")
|
||||
.or_else(|| config.get("upstreamStreamPolicy"))
|
||||
.or_else(|| config.get("upstream_stream"))
|
||||
});
|
||||
if requested.is_some_and(crate::handlers::public::admin_requested_force_stream) {
|
||||
return Err("OpenAI Search 端点仅支持非流式上游请求".to_string());
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
impl<'a> AdminAppState<'a> {
|
||||
pub(crate) async fn build_admin_keys_grouped_by_format_payload(
|
||||
&self,
|
||||
@@ -232,6 +253,7 @@ impl<'a> AdminAppState<'a> {
|
||||
let (normalized_api_format, api_family, endpoint_kind) =
|
||||
admin_endpoint_signature_parts(&payload.api_format)
|
||||
.ok_or_else(|| format!("无效的 api_format: {}", payload.api_format))?;
|
||||
validate_admin_endpoint_stream_policy(normalized_api_format, payload.config.as_ref())?;
|
||||
let base_url = normalize_admin_base_url(&payload.base_url)?;
|
||||
|
||||
let existing_endpoints = self
|
||||
@@ -337,6 +359,13 @@ impl<'a> AdminAppState<'a> {
|
||||
&update_fields,
|
||||
)?;
|
||||
|
||||
if fields.contains("config") {
|
||||
validate_admin_endpoint_stream_policy(
|
||||
existing_endpoint.api_format.as_str(),
|
||||
updated.config.as_ref(),
|
||||
)?;
|
||||
}
|
||||
|
||||
if provider_type == "codex"
|
||||
&& crate::ai_serving::is_openai_responses_format(&existing_endpoint.api_format)
|
||||
{
|
||||
@@ -389,3 +418,40 @@ impl<'a> AdminAppState<'a> {
|
||||
Ok(updated)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use serde_json::json;
|
||||
|
||||
use super::validate_admin_endpoint_stream_policy;
|
||||
|
||||
#[test]
|
||||
fn search_endpoint_rejects_explicit_streaming_policy_for_all_config_keys() {
|
||||
for (api_format, key, value) in [
|
||||
(
|
||||
"openai:search",
|
||||
"upstream_stream_policy",
|
||||
json!("force_stream"),
|
||||
),
|
||||
("openai:search", "upstreamStreamPolicy", json!(true)),
|
||||
("/v1/alpha/search", "upstream_stream", json!("sse")),
|
||||
] {
|
||||
let config = json!({(key): value});
|
||||
assert!(validate_admin_endpoint_stream_policy(api_format, Some(&config),).is_err());
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn search_endpoint_accepts_non_streaming_and_unrelated_config() {
|
||||
assert!(validate_admin_endpoint_stream_policy(
|
||||
"openai:search",
|
||||
Some(&json!({"upstream_stream_policy": "force_non_stream"})),
|
||||
)
|
||||
.is_ok());
|
||||
assert!(validate_admin_endpoint_stream_policy(
|
||||
"openai:responses",
|
||||
Some(&json!({"upstream_stream_policy": "force_stream"})),
|
||||
)
|
||||
.is_ok());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -84,6 +84,8 @@ const OPENAI_RESPONSES_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL: &str =
|
||||
"当前 OpenAI Responses 请求无法在本地执行:没有匹配到可用的执行路径";
|
||||
const OPENAI_RESPONSES_COMPACT_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL: &str =
|
||||
"当前 OpenAI Responses Compact 请求无法在本地执行:没有匹配到可用的执行路径";
|
||||
const OPENAI_SEARCH_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL: &str =
|
||||
"当前 OpenAI Search 请求无法在本地执行:没有匹配到可用的执行路径";
|
||||
const OPENAI_VIDEO_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL: &str =
|
||||
"当前 OpenAI Video 请求无法在本地执行:没有匹配到可用的执行路径";
|
||||
const CLAUDE_MESSAGES_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL: &str =
|
||||
@@ -381,8 +383,9 @@ async fn maybe_forward_public_request_to_tunnel_owner(
|
||||
serde_json::from_slice::<serde_json::Value>(body.as_ref()).ok()
|
||||
});
|
||||
let client_session_affinity =
|
||||
crate::client_session_affinity::client_session_affinity_from_parts(
|
||||
parts,
|
||||
crate::client_session_affinity::client_session_affinity_from_api_request(
|
||||
api_format,
|
||||
&parts.headers,
|
||||
body_json.as_ref(),
|
||||
);
|
||||
let Some(target) = crate::scheduler::affinity::read_cached_scheduler_affinity_target(
|
||||
@@ -452,7 +455,27 @@ async fn maybe_forward_public_request_to_tunnel_owner(
|
||||
owner.relay_base_url.trim_end_matches('/'),
|
||||
request_context.request_path_and_query()
|
||||
);
|
||||
let mut upstream_request = state.client.request(parts.method.clone(), owner_url);
|
||||
let is_stream =
|
||||
owner_forward_request_is_stream(parts, decision, buffered_body.unwrap_or(&empty_body));
|
||||
let transport_timeouts =
|
||||
crate::provider_transport::resolve_transport_execution_timeouts(&transport);
|
||||
let non_stream_timeout =
|
||||
crate::execution_runtime::transport::resolve_non_stream_total_timeout_for_request(
|
||||
is_stream,
|
||||
&transport.endpoint.api_format,
|
||||
transport_timeouts.as_ref(),
|
||||
);
|
||||
let stream_first_byte_timeout =
|
||||
crate::execution_runtime::transport::resolve_stream_first_byte_timeout_for_request(
|
||||
is_stream,
|
||||
transport_timeouts.as_ref(),
|
||||
);
|
||||
let mut upstream_request = state
|
||||
.owner_forward_client
|
||||
.request(parts.method.clone(), owner_url);
|
||||
if let Some(timeout) = non_stream_timeout {
|
||||
upstream_request = upstream_request.timeout(timeout);
|
||||
}
|
||||
for (name, value) in &parts.headers {
|
||||
if should_skip_request_header(name.as_str()) || name == http::header::HOST {
|
||||
continue;
|
||||
@@ -498,14 +521,15 @@ async fn maybe_forward_public_request_to_tunnel_owner(
|
||||
upstream_request.header(TRUSTED_AUTH_BALANCE_HEADER, balance_remaining.to_string());
|
||||
}
|
||||
|
||||
let upstream_response = upstream_request
|
||||
.body(buffered_body.cloned().unwrap_or_default())
|
||||
.send()
|
||||
.await
|
||||
.map_err(|err| GatewayError::UpstreamUnavailable {
|
||||
trace_id: request_context.trace_id.clone(),
|
||||
message: format!("owner gateway affinity forward failed: {err}"),
|
||||
})?;
|
||||
let upstream_response = crate::tunnel::send_owner_forward_request(
|
||||
upstream_request.body(buffered_body.cloned().unwrap_or_default()),
|
||||
stream_first_byte_timeout,
|
||||
)
|
||||
.await
|
||||
.map_err(|message| GatewayError::UpstreamUnavailable {
|
||||
trace_id: request_context.trace_id.clone(),
|
||||
message: format!("owner gateway affinity forward failed: {message}"),
|
||||
})?;
|
||||
|
||||
let mut response = build_sync_aware_affinity_forward_response(
|
||||
request_context,
|
||||
@@ -523,6 +547,29 @@ async fn maybe_forward_public_request_to_tunnel_owner(
|
||||
Ok(Some(response))
|
||||
}
|
||||
|
||||
fn owner_forward_request_is_stream(
|
||||
parts: &http::request::Parts,
|
||||
decision: &GatewayControlDecision,
|
||||
body_bytes: &Bytes,
|
||||
) -> bool {
|
||||
let Some(plan_kind) =
|
||||
crate::ai_serving::api::resolve_execution_runtime_stream_plan_kind(parts, decision)
|
||||
else {
|
||||
return false;
|
||||
};
|
||||
let Some((body_json, body_base64)) =
|
||||
crate::ai_serving::api::parse_direct_request_body(parts, body_bytes)
|
||||
else {
|
||||
return false;
|
||||
};
|
||||
crate::ai_serving::api::is_matching_stream_request(
|
||||
plan_kind,
|
||||
parts,
|
||||
&body_json,
|
||||
body_base64.as_deref(),
|
||||
)
|
||||
}
|
||||
|
||||
fn upstream_response_is_sse(headers: &reqwest::header::HeaderMap) -> bool {
|
||||
headers
|
||||
.get(http::header::CONTENT_TYPE)
|
||||
@@ -2196,6 +2243,7 @@ fn local_execution_runtime_miss_route_label(
|
||||
"/v1/chat/completions" => "OpenAI Chat Completions",
|
||||
"/v1/responses" => "OpenAI Responses",
|
||||
"/v1/responses/compact" => "OpenAI Responses Compact",
|
||||
"/v1/alpha/search" => "OpenAI Search",
|
||||
"/v1/messages" => "Claude Messages",
|
||||
path if path.starts_with("/v1/videos") => "OpenAI Video",
|
||||
path if path.starts_with("/upload/v1beta/files") || path.starts_with("/v1beta/files") => {
|
||||
@@ -2238,6 +2286,7 @@ fn local_execution_runtime_miss_route_detail(
|
||||
"/v1/responses/compact" => {
|
||||
Some(OPENAI_RESPONSES_COMPACT_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL)
|
||||
}
|
||||
"/v1/alpha/search" => Some(OPENAI_SEARCH_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL),
|
||||
"/v1/messages" => Some(CLAUDE_MESSAGES_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL),
|
||||
path if path.starts_with("/v1/videos") => {
|
||||
Some(OPENAI_VIDEO_LOCAL_EXECUTION_RUNTIME_MISS_DETAIL)
|
||||
@@ -2262,15 +2311,129 @@ mod tests {
|
||||
use super::{
|
||||
api_key_remote_ip_allowed, buffer_and_normalize_request_body,
|
||||
diagnostic_is_auth_api_key_concurrency_limited, local_execution_runtime_miss_detail,
|
||||
restore_redacted_stream_execution_response, restore_redacted_sync_execution_response,
|
||||
GatewayControlDecision, LocalExecutionRuntimeMissDiagnostic, RequestBodyBufferError,
|
||||
RequestBodyBufferPolicy,
|
||||
owner_forward_request_is_stream, restore_redacted_stream_execution_response,
|
||||
restore_redacted_sync_execution_response, GatewayControlDecision,
|
||||
LocalExecutionRuntimeMissDiagnostic, RequestBodyBufferError, RequestBodyBufferPolicy,
|
||||
};
|
||||
use axum::body::{to_bytes, Body, Bytes};
|
||||
use axum::http::{header, HeaderMap, HeaderValue, Method, Response};
|
||||
use serde_json::json;
|
||||
use tokio::sync::Semaphore;
|
||||
|
||||
#[test]
|
||||
fn owner_forward_uses_search_protocol_timeout_semantics() {
|
||||
let request = http::Request::builder()
|
||||
.method(Method::POST)
|
||||
.uri("/v1/alpha/search")
|
||||
.header(header::CONTENT_TYPE, "application/json")
|
||||
.body(())
|
||||
.expect("request should build");
|
||||
let (parts, _) = request.into_parts();
|
||||
let decision = GatewayControlDecision::synthetic(
|
||||
"/v1/alpha/search",
|
||||
Some("ai_public".to_string()),
|
||||
Some("openai".to_string()),
|
||||
Some("search".to_string()),
|
||||
Some("openai:search".to_string()),
|
||||
);
|
||||
let body =
|
||||
Bytes::from_static(br#"{"model":"gpt-5.6-sol","input":"find docs","stream":true}"#);
|
||||
let is_stream = owner_forward_request_is_stream(&parts, &decision, &body);
|
||||
let timeouts = aether_contracts::ExecutionTimeouts {
|
||||
total_ms: Some(aether_contracts::MAX_EXECUTION_REQUEST_TIMEOUT_MS),
|
||||
first_byte_ms: Some(10),
|
||||
..aether_contracts::ExecutionTimeouts::default()
|
||||
};
|
||||
|
||||
assert!(!is_stream);
|
||||
assert_eq!(
|
||||
crate::execution_runtime::transport::resolve_non_stream_total_timeout_for_request(
|
||||
is_stream,
|
||||
"openai:search",
|
||||
Some(&timeouts),
|
||||
),
|
||||
Some(Duration::from_millis(
|
||||
aether_contracts::MAX_EXECUTION_REQUEST_TIMEOUT_MS
|
||||
))
|
||||
);
|
||||
assert_eq!(
|
||||
crate::execution_runtime::transport::resolve_stream_first_byte_timeout_for_request(
|
||||
is_stream,
|
||||
Some(&timeouts),
|
||||
),
|
||||
None
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn owner_forward_keeps_streaming_for_stream_capable_protocols() {
|
||||
let chat_request = http::Request::builder()
|
||||
.method(Method::POST)
|
||||
.uri("/v1/chat/completions")
|
||||
.header(header::CONTENT_TYPE, "application/json")
|
||||
.body(())
|
||||
.expect("request should build");
|
||||
let (chat_parts, _) = chat_request.into_parts();
|
||||
let chat_decision = GatewayControlDecision::synthetic(
|
||||
"/v1/chat/completions",
|
||||
Some("ai_public".to_string()),
|
||||
Some("openai".to_string()),
|
||||
Some("chat".to_string()),
|
||||
Some("openai:chat".to_string()),
|
||||
);
|
||||
|
||||
assert!(owner_forward_request_is_stream(
|
||||
&chat_parts,
|
||||
&chat_decision,
|
||||
&Bytes::from_static(br#"{"model":"gpt-5.6-sol","stream":true}"#),
|
||||
));
|
||||
assert!(!owner_forward_request_is_stream(
|
||||
&chat_parts,
|
||||
&chat_decision,
|
||||
&Bytes::from_static(br#"{"model":"gpt-5.6-sol","stream":false}"#),
|
||||
));
|
||||
|
||||
let image_request = http::Request::builder()
|
||||
.method(Method::POST)
|
||||
.uri("/v1/images/generations")
|
||||
.header(header::CONTENT_TYPE, "application/json")
|
||||
.body(())
|
||||
.expect("request should build");
|
||||
let (image_parts, _) = image_request.into_parts();
|
||||
let image_decision = GatewayControlDecision::synthetic(
|
||||
"/v1/images/generations",
|
||||
Some("ai_public".to_string()),
|
||||
Some("openai".to_string()),
|
||||
Some("image".to_string()),
|
||||
Some("openai:image".to_string()),
|
||||
);
|
||||
assert!(owner_forward_request_is_stream(
|
||||
&image_parts,
|
||||
&image_decision,
|
||||
&Bytes::from_static(br#"{"model":"gpt-image-1","stream":true}"#),
|
||||
));
|
||||
|
||||
let compact_request = http::Request::builder()
|
||||
.method(Method::POST)
|
||||
.uri("/v1/responses/compact")
|
||||
.header(header::CONTENT_TYPE, "application/json")
|
||||
.body(())
|
||||
.expect("request should build");
|
||||
let (compact_parts, _) = compact_request.into_parts();
|
||||
let compact_decision = GatewayControlDecision::synthetic(
|
||||
"/v1/responses/compact",
|
||||
Some("ai_public".to_string()),
|
||||
Some("openai".to_string()),
|
||||
Some("responses:compact".to_string()),
|
||||
Some("openai:responses:compact".to_string()),
|
||||
);
|
||||
assert!(!owner_forward_request_is_stream(
|
||||
&compact_parts,
|
||||
&compact_decision,
|
||||
&Bytes::from_static(br#"{"model":"gpt-5.6-sol","stream":true}"#),
|
||||
));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn api_key_remote_ip_allows_unrestricted_keys() {
|
||||
let remote_ip = "203.0.113.10".parse().expect("valid ip");
|
||||
|
||||
@@ -1,9 +1,8 @@
|
||||
use crate::ai_serving::normalize_openai_image_quality;
|
||||
use crate::async_task::CancelVideoTaskError;
|
||||
use crate::control::GatewayControlDecision;
|
||||
use crate::control::GatewayPublicRequestContext;
|
||||
use crate::image_capabilities::{
|
||||
openai_image_gateway_max_generation_count, openai_image_gateway_max_generation_count_for_model,
|
||||
};
|
||||
use crate::image_capabilities::openai_image_gateway_max_generation_count;
|
||||
use crate::{AppState, GatewayError};
|
||||
use aether_data_contracts::repository::video_tasks::{
|
||||
StoredVideoTask, VideoTaskQueryFilter, VideoTaskStatus,
|
||||
@@ -26,7 +25,7 @@ const OPENAI_IMAGE_PARTIAL_IMAGES_DETAIL: &str =
|
||||
const OPENAI_IMAGE_STYLE_DETAIL: &str = "当前 Codex 图片反代暂不支持 style 参数";
|
||||
const OPENAI_IMAGE_RESPONSE_FORMAT_DETAIL: &str = "response_format 仅支持 url 或 b64_json";
|
||||
const OPENAI_IMAGE_OUTPUT_FORMAT_DETAIL: &str = "output_format 仅支持 png、jpeg 或 webp";
|
||||
const OPENAI_IMAGE_QUALITY_DETAIL: &str = "quality 仅支持 low、medium、high、standard 或 hd";
|
||||
const OPENAI_IMAGE_QUALITY_DETAIL: &str = "quality 仅支持 auto、low、medium、high、standard 或 hd";
|
||||
const OPENAI_IMAGE_BACKGROUND_DETAIL: &str = "background 仅支持 auto、opaque 或 transparent";
|
||||
const OPENAI_IMAGE_MODERATION_DETAIL: &str = "moderation 仅支持 auto 或 low";
|
||||
const OPENAI_IMAGE_INPUT_FIDELITY_DETAIL: &str = "input_fidelity 仅支持 low 或 high";
|
||||
@@ -303,7 +302,7 @@ fn maybe_build_local_openai_request_validation_response(
|
||||
if validation
|
||||
.quality
|
||||
.as_deref()
|
||||
.is_some_and(|value| !matches!(value, "low" | "medium" | "high" | "standard" | "hd"))
|
||||
.is_some_and(|value| normalize_openai_image_quality(value).is_none())
|
||||
{
|
||||
return Some(build_ai_public_error_response(
|
||||
http::StatusCode::BAD_REQUEST,
|
||||
@@ -366,8 +365,7 @@ fn openai_image_n_detail(max_generation_count: u64) -> String {
|
||||
}
|
||||
|
||||
fn validate_openai_image_n(validation: &OpenAiImageValidationInput) -> Option<String> {
|
||||
let max_generation_count =
|
||||
openai_image_gateway_max_generation_count_for_model(validation.model.as_deref());
|
||||
let max_generation_count = openai_image_gateway_max_generation_count();
|
||||
validation
|
||||
.n
|
||||
.is_some_and(|value| value == 0 || value > max_generation_count)
|
||||
@@ -1761,7 +1759,7 @@ mod tests {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn image_validation_restricts_multi_image_count_to_grok_models() {
|
||||
fn image_validation_applies_the_global_count_limit_before_model_mapping() {
|
||||
let openai_body = Bytes::from_static(br#"{"model":"gpt-image-2","prompt":"draw","n":2}"#);
|
||||
let openai_validation = parse_openai_image_validation_input(
|
||||
OpenAiImageOperation::Generate,
|
||||
@@ -1770,10 +1768,7 @@ mod tests {
|
||||
)
|
||||
.expect("valid image payload should parse");
|
||||
|
||||
assert_eq!(
|
||||
validate_openai_image_n(&openai_validation).as_deref(),
|
||||
Some("当前图片模型仅支持 n=1..1")
|
||||
);
|
||||
assert!(validate_openai_image_n(&openai_validation).is_none());
|
||||
|
||||
let grok_body =
|
||||
Bytes::from_static(br#"{"model":"grok-imagine-image-lite","prompt":"draw","n":4}"#);
|
||||
@@ -1785,5 +1780,28 @@ mod tests {
|
||||
.expect("valid grok image payload should parse");
|
||||
|
||||
assert!(validate_openai_image_n(&grok_validation).is_none());
|
||||
|
||||
let alias_body =
|
||||
Bytes::from_static(br#"{"model":"production-image-alias","prompt":"draw","n":10}"#);
|
||||
let alias_validation = parse_openai_image_validation_input(
|
||||
OpenAiImageOperation::Generate,
|
||||
Some("application/json"),
|
||||
&alias_body,
|
||||
)
|
||||
.expect("valid image alias payload should parse");
|
||||
assert!(validate_openai_image_n(&alias_validation).is_none());
|
||||
|
||||
let excessive_body =
|
||||
Bytes::from_static(br#"{"model":"production-image-alias","prompt":"draw","n":11}"#);
|
||||
let excessive_validation = parse_openai_image_validation_input(
|
||||
OpenAiImageOperation::Generate,
|
||||
Some("application/json"),
|
||||
&excessive_body,
|
||||
)
|
||||
.expect("image payload should parse before count validation");
|
||||
assert_eq!(
|
||||
validate_openai_image_n(&excessive_validation).as_deref(),
|
||||
Some("当前图片反代仅支持 n=1..10")
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -89,6 +89,7 @@ pub(super) fn build_models_not_found_response(model_id: &str, api_format: &str)
|
||||
|
||||
pub(super) fn build_empty_models_list_response(api_format: &str) -> Response<Body> {
|
||||
match api_format {
|
||||
"openai:responses" => Json(json!({ "models": [] })).into_response(),
|
||||
"claude:messages" => Json(json!({
|
||||
"data": [],
|
||||
"has_more": false,
|
||||
@@ -101,6 +102,10 @@ pub(super) fn build_empty_models_list_response(api_format: &str) -> Response<Bod
|
||||
}
|
||||
}
|
||||
|
||||
pub(super) fn build_codex_models_list_response(models: Vec<serde_json::Value>) -> Response<Body> {
|
||||
Json(json!({ "models": models })).into_response()
|
||||
}
|
||||
|
||||
pub(super) fn build_openai_models_list_response(
|
||||
rows: &[StoredMinimalCandidateSelectionRow],
|
||||
) -> Response<Body> {
|
||||
|
||||
@@ -1,21 +1,24 @@
|
||||
use std::collections::{BTreeMap, BTreeSet};
|
||||
use std::fmt::Debug;
|
||||
use std::future::Future;
|
||||
use std::time::{Duration, SystemTime, UNIX_EPOCH};
|
||||
|
||||
use aether_data_contracts::repository::candidate_selection::StoredMinimalCandidateSelectionRow;
|
||||
use axum::{body::Body, response::Response};
|
||||
use serde_json::Value;
|
||||
use tokio::time::timeout;
|
||||
use tracing::warn;
|
||||
|
||||
use super::models_responses::{
|
||||
build_claude_model_detail_response, build_claude_models_list_response,
|
||||
build_empty_models_list_response, build_gemini_model_detail_response,
|
||||
build_gemini_models_list_response, build_models_auth_error_response,
|
||||
build_models_not_found_response, build_openai_model_detail_response,
|
||||
build_openai_models_list_response,
|
||||
build_codex_models_list_response, build_empty_models_list_response,
|
||||
build_gemini_model_detail_response, build_gemini_models_list_response,
|
||||
build_models_auth_error_response, build_models_not_found_response,
|
||||
build_openai_model_detail_response, build_openai_models_list_response,
|
||||
};
|
||||
use super::models_shared::{
|
||||
filter_rows_for_models, models_api_format, models_detail_id, models_query_api_formats,
|
||||
filter_eligible_model_rows, filter_rows_for_models, models_api_format, models_detail_id,
|
||||
models_query_api_formats,
|
||||
};
|
||||
use super::{query_param_value, AppState, GatewayPublicRequestContext};
|
||||
|
||||
@@ -23,6 +26,7 @@ use super::{query_param_value, AppState, GatewayPublicRequestContext};
|
||||
const MODELS_ROUTE_READ_TIMEOUT: Duration = Duration::from_secs(5);
|
||||
#[cfg(test)]
|
||||
const MODELS_ROUTE_READ_TIMEOUT: Duration = Duration::from_millis(50);
|
||||
const CODEX_MODELS_QUERY_API_FORMATS: &[&str] = &["openai:responses"];
|
||||
|
||||
async fn await_models_route_read<T, E, Fut>(operation: &'static str, future: Fut) -> Option<T>
|
||||
where
|
||||
@@ -72,7 +76,7 @@ fn build_models_read_fallback_response(
|
||||
}
|
||||
}
|
||||
|
||||
fn sort_and_dedup_model_rows(
|
||||
fn sort_model_rows(
|
||||
mut rows: Vec<StoredMinimalCandidateSelectionRow>,
|
||||
) -> Vec<StoredMinimalCandidateSelectionRow> {
|
||||
rows.sort_by(|left, right| {
|
||||
@@ -85,9 +89,15 @@ fn sort_and_dedup_model_rows(
|
||||
.then(left.key_id.cmp(&right.key_id))
|
||||
.then(left.model_id.cmp(&right.model_id))
|
||||
});
|
||||
rows
|
||||
}
|
||||
|
||||
fn sort_and_dedup_model_rows(
|
||||
rows: Vec<StoredMinimalCandidateSelectionRow>,
|
||||
) -> Vec<StoredMinimalCandidateSelectionRow> {
|
||||
let mut deduped = Vec::with_capacity(rows.len());
|
||||
let mut last_model_name: Option<String> = None;
|
||||
for row in rows {
|
||||
for row in sort_model_rows(rows) {
|
||||
if last_model_name.as_deref() == Some(row.global_model_name.as_str()) {
|
||||
continue;
|
||||
}
|
||||
@@ -97,22 +107,157 @@ fn sort_and_dedup_model_rows(
|
||||
deduped
|
||||
}
|
||||
|
||||
fn is_codex_models_api_format(api_format: &str) -> bool {
|
||||
crate::ai_serving::normalize_api_format_alias(api_format) == "openai:responses"
|
||||
}
|
||||
|
||||
fn is_codex_provider_row(row: &StoredMinimalCandidateSelectionRow) -> bool {
|
||||
row.provider_type.trim().eq_ignore_ascii_case("codex")
|
||||
}
|
||||
|
||||
fn codex_model_card_is_complete(card: &serde_json::Map<String, Value>) -> bool {
|
||||
card.get("slug").and_then(Value::as_str).is_some()
|
||||
&& card.get("display_name").and_then(Value::as_str).is_some()
|
||||
&& card
|
||||
.get("supported_reasoning_levels")
|
||||
.and_then(Value::as_array)
|
||||
.is_some()
|
||||
&& card.get("shell_type").and_then(Value::as_str).is_some()
|
||||
&& card.get("visibility").and_then(Value::as_str).is_some()
|
||||
&& card
|
||||
.get("supported_in_api")
|
||||
.and_then(Value::as_bool)
|
||||
.is_some()
|
||||
&& card.get("priority").and_then(Value::as_i64).is_some()
|
||||
&& card
|
||||
.get("base_instructions")
|
||||
.and_then(Value::as_str)
|
||||
.is_some()
|
||||
&& card
|
||||
.get("supports_reasoning_summary_parameter")
|
||||
.is_none_or(Value::is_boolean)
|
||||
&& card
|
||||
.get("support_verbosity")
|
||||
.and_then(Value::as_bool)
|
||||
.is_some()
|
||||
&& card
|
||||
.get("truncation_policy")
|
||||
.and_then(Value::as_object)
|
||||
.is_some()
|
||||
&& card
|
||||
.get("supports_parallel_tool_calls")
|
||||
.and_then(Value::as_bool)
|
||||
.is_some()
|
||||
&& card
|
||||
.get("experimental_supported_tools")
|
||||
.and_then(Value::as_array)
|
||||
.is_some()
|
||||
}
|
||||
|
||||
fn project_codex_model_card(
|
||||
cached_models: &[Value],
|
||||
source_model: &str,
|
||||
global_model: &str,
|
||||
) -> Option<Value> {
|
||||
let mut card = cached_models
|
||||
.iter()
|
||||
.find(|model| {
|
||||
model.get("id").and_then(Value::as_str) == Some(source_model)
|
||||
|| model.get("slug").and_then(Value::as_str) == Some(source_model)
|
||||
})?
|
||||
.as_object()?
|
||||
.clone();
|
||||
if !codex_model_card_is_complete(&card) {
|
||||
return None;
|
||||
}
|
||||
|
||||
card.remove("id");
|
||||
card.remove("api_formats");
|
||||
card.insert("slug".to_string(), Value::String(global_model.to_string()));
|
||||
Some(Value::Object(card))
|
||||
}
|
||||
|
||||
async fn load_codex_model_cards(
|
||||
state: &AppState,
|
||||
rows: &[StoredMinimalCandidateSelectionRow],
|
||||
) -> Vec<Value> {
|
||||
let cache_keys = rows
|
||||
.iter()
|
||||
.filter(|row| is_codex_provider_row(row))
|
||||
.map(|row| format!("upstream_models:{}:{}", row.provider_id, row.key_id))
|
||||
.collect::<BTreeSet<_>>()
|
||||
.into_iter()
|
||||
.collect::<Vec<_>>();
|
||||
let cached_values = await_models_route_read(
|
||||
"codex_models_cache",
|
||||
state.runtime_state.kv_get_many(&cache_keys),
|
||||
)
|
||||
.await
|
||||
.unwrap_or_default();
|
||||
let cached_models_by_key = cache_keys
|
||||
.into_iter()
|
||||
.zip(cached_values)
|
||||
.filter_map(|(key, raw)| {
|
||||
let models = serde_json::from_str::<Vec<Value>>(raw.as_deref()?).ok()?;
|
||||
Some((key, models))
|
||||
})
|
||||
.collect::<BTreeMap<_, _>>();
|
||||
|
||||
let mut seen_global_models = BTreeSet::new();
|
||||
let mut cards = Vec::new();
|
||||
for row in rows.iter().filter(|row| is_codex_provider_row(row)) {
|
||||
if seen_global_models.contains(&row.global_model_name) {
|
||||
continue;
|
||||
}
|
||||
let cache_key = format!("upstream_models:{}:{}", row.provider_id, row.key_id);
|
||||
let Some(cached_models) = cached_models_by_key.get(&cache_key) else {
|
||||
continue;
|
||||
};
|
||||
let source_model =
|
||||
aether_scheduler_core::select_provider_model_name(row, "openai:responses");
|
||||
let Some(card) = project_codex_model_card(
|
||||
cached_models,
|
||||
source_model.as_str(),
|
||||
row.global_model_name.as_str(),
|
||||
) else {
|
||||
continue;
|
||||
};
|
||||
seen_global_models.insert(row.global_model_name.clone());
|
||||
cards.push(card);
|
||||
}
|
||||
cards
|
||||
}
|
||||
|
||||
async fn list_model_rows_for_client_format(
|
||||
state: &AppState,
|
||||
api_format: &str,
|
||||
auth_snapshot: Option<&crate::data::auth::GatewayAuthApiKeySnapshot>,
|
||||
) -> Option<Vec<StoredMinimalCandidateSelectionRow>> {
|
||||
let mut collected = Vec::new();
|
||||
for query_format in models_query_api_formats(api_format) {
|
||||
let query_api_formats = if is_codex_models_api_format(api_format) {
|
||||
CODEX_MODELS_QUERY_API_FORMATS
|
||||
} else {
|
||||
models_query_api_formats(api_format)
|
||||
};
|
||||
for query_format in query_api_formats {
|
||||
let rows = await_models_route_read(
|
||||
"candidate_selection_by_api_format",
|
||||
state.list_minimal_candidate_selection_rows_for_api_format(query_format),
|
||||
)
|
||||
.await?;
|
||||
let mut filtered = filter_rows_for_models(rows, auth_snapshot, query_format);
|
||||
let mut filtered = if is_codex_models_api_format(api_format) {
|
||||
filter_eligible_model_rows(rows, auth_snapshot, query_format)
|
||||
} else {
|
||||
filter_rows_for_models(rows, auth_snapshot, query_format)
|
||||
};
|
||||
collected.append(&mut filtered);
|
||||
}
|
||||
Some(sort_and_dedup_model_rows(collected))
|
||||
if is_codex_models_api_format(api_format) {
|
||||
collected.retain(is_codex_provider_row);
|
||||
Some(sort_model_rows(collected))
|
||||
} else {
|
||||
Some(sort_and_dedup_model_rows(collected))
|
||||
}
|
||||
}
|
||||
|
||||
async fn list_model_rows_for_client_format_and_global_model(
|
||||
@@ -190,6 +335,10 @@ pub(super) async fn maybe_build_local_models_route_response(
|
||||
if rows.is_empty() {
|
||||
return Some(build_empty_models_list_response(api_format));
|
||||
}
|
||||
if is_codex_models_api_format(api_format) {
|
||||
let models = load_codex_model_cards(state, &rows).await;
|
||||
return Some(build_codex_models_list_response(models));
|
||||
}
|
||||
let response = match api_format {
|
||||
"claude:messages" => {
|
||||
let before_id = query_param_value(
|
||||
|
||||
@@ -194,13 +194,12 @@ fn row_exposes_global_model_for_models(
|
||||
false
|
||||
}
|
||||
|
||||
pub(super) fn filter_rows_for_models(
|
||||
pub(super) fn filter_eligible_model_rows(
|
||||
rows: Vec<StoredMinimalCandidateSelectionRow>,
|
||||
auth_snapshot: Option<&crate::data::auth::GatewayAuthApiKeySnapshot>,
|
||||
api_format: &str,
|
||||
) -> Vec<StoredMinimalCandidateSelectionRow> {
|
||||
let mut filtered = rows
|
||||
.into_iter()
|
||||
rows.into_iter()
|
||||
.filter(|row| {
|
||||
auth_snapshot_allows_provider_for_models(
|
||||
auth_snapshot,
|
||||
@@ -211,7 +210,15 @@ pub(super) fn filter_rows_for_models(
|
||||
})
|
||||
.filter(|row| auth_snapshot_allows_model_for_models(auth_snapshot, &row.global_model_name))
|
||||
.filter(|row| row_exposes_global_model_for_models(row, api_format))
|
||||
.collect::<Vec<_>>();
|
||||
.collect()
|
||||
}
|
||||
|
||||
pub(super) fn filter_rows_for_models(
|
||||
rows: Vec<StoredMinimalCandidateSelectionRow>,
|
||||
auth_snapshot: Option<&crate::data::auth::GatewayAuthApiKeySnapshot>,
|
||||
api_format: &str,
|
||||
) -> Vec<StoredMinimalCandidateSelectionRow> {
|
||||
let mut filtered = filter_eligible_model_rows(rows, auth_snapshot, api_format);
|
||||
filtered.sort_by(|left, right| left.global_model_name.cmp(&right.global_model_name));
|
||||
let mut deduped = Vec::new();
|
||||
let mut last_model_name: Option<String> = None;
|
||||
|
||||
@@ -220,14 +220,7 @@ fn users_me_usage_api_format_defaults_to_non_stream(item: &StoredRequestUsageAud
|
||||
let Some(value) = api_format else {
|
||||
return false;
|
||||
};
|
||||
matches!(
|
||||
crate::ai_serving::normalize_api_format_alias(value).as_str(),
|
||||
"openai:chat"
|
||||
| "openai:responses"
|
||||
| "openai:responses:compact"
|
||||
| "openai:image"
|
||||
| "claude:messages"
|
||||
)
|
||||
crate::ai_serving::api_format_defaults_to_non_stream(value)
|
||||
}
|
||||
|
||||
fn users_me_usage_request_body_implies_default_non_stream(item: &StoredRequestUsageAudit) -> bool {
|
||||
@@ -515,6 +508,9 @@ fn build_users_me_usage_record_payload(
|
||||
if let Some(service_tier) = item.provider_service_tier() {
|
||||
payload["service_tier"] = json!(service_tier);
|
||||
}
|
||||
if let Some(actual_service_tier) = item.provider_actual_service_tier() {
|
||||
payload["actual_service_tier"] = json!(actual_service_tier);
|
||||
}
|
||||
if include_actual_cost {
|
||||
payload["actual_cost"] = json!(round_to(item.actual_total_cost_usd, 6));
|
||||
payload["rate_multiplier"] = json!(rate_multiplier);
|
||||
@@ -582,6 +578,9 @@ fn build_users_me_usage_active_payload(item: &StoredRequestUsageAudit) -> serde_
|
||||
if let Some(service_tier) = item.provider_service_tier() {
|
||||
payload["service_tier"] = json!(service_tier);
|
||||
}
|
||||
if let Some(actual_service_tier) = item.provider_actual_service_tier() {
|
||||
payload["actual_service_tier"] = json!(actual_service_tier);
|
||||
}
|
||||
payload
|
||||
}
|
||||
|
||||
@@ -1840,6 +1839,27 @@ mod tests {
|
||||
assert_eq!(active_payload["client_is_stream"], false);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn user_usage_stream_defaults_to_non_stream_for_openai_search() {
|
||||
let item = StoredRequestUsageAudit {
|
||||
is_stream: false,
|
||||
api_format: Some("openai:search".to_string()),
|
||||
request_body: Some(json!({
|
||||
"id": "session-search-1",
|
||||
"model": "gpt-5.6-sol",
|
||||
"input": "current documentation"
|
||||
})),
|
||||
..sample_usage("completed")
|
||||
};
|
||||
|
||||
assert!(!users_me_usage_client_is_stream(&item));
|
||||
|
||||
let record_payload =
|
||||
build_users_me_usage_record_payload(&item, false, &BTreeMap::new(), false);
|
||||
assert_eq!(record_payload["client_requested_stream"], false);
|
||||
assert_eq!(record_payload["client_is_stream"], false);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn user_usage_upstream_stream_prefers_request_metadata_flag() {
|
||||
let item = StoredRequestUsageAudit {
|
||||
|
||||
@@ -38,7 +38,7 @@ pub(crate) fn provider_catalog_key_supports_format(
|
||||
}
|
||||
formats
|
||||
.iter()
|
||||
.any(|candidate| crate::ai_serving::api_format_alias_matches(candidate, api_format))
|
||||
.any(|candidate| crate::ai_serving::api_format_permission_covers(candidate, api_format))
|
||||
}
|
||||
|
||||
pub(crate) fn decrypt_catalog_secret_with_fallbacks(
|
||||
@@ -2732,6 +2732,25 @@ mod tests {
|
||||
.expect("key transport should build")
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn responses_key_scope_covers_search_in_one_direction() {
|
||||
let mut responses_key = sample_catalog_key();
|
||||
responses_key.api_formats = Some(json!(["openai:responses"]));
|
||||
assert!(provider_catalog_key_supports_format(
|
||||
&responses_key,
|
||||
"codex",
|
||||
"openai:search",
|
||||
));
|
||||
|
||||
let mut search_key = sample_catalog_key();
|
||||
search_key.api_formats = Some(json!(["openai:search"]));
|
||||
assert!(!provider_catalog_key_supports_format(
|
||||
&search_key,
|
||||
"codex",
|
||||
"openai:responses",
|
||||
));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn masked_catalog_api_key_handles_unicode_plaintext_without_panicking() {
|
||||
let state = AppState::new().expect("gateway should build");
|
||||
|
||||
Reference in New Issue
Block a user