feat(openai): align GPT-5.6 and Codex request contracts

This commit is contained in:
MMEXA
2026-07-11 07:40:12 +08:00
parent bc1da3bf3f
commit dfa121dd5b
178 changed files with 17947 additions and 3541 deletions
@@ -64,7 +64,8 @@ use aether_data_contracts::repository::provider_catalog::{
};
use aether_model_fetch::{
aggregate_models_for_cache, fetch_models_from_transports, json_string_list,
merge_upstream_metadata, preset_models_for_provider, selected_models_fetch_endpoints,
model_catalog_upstream_metadata, preset_models_for_provider, selected_models_fetch_endpoints,
upstream_metadata_namespace_updates,
};
use axum::{
body::{to_bytes, Body},
@@ -281,6 +282,7 @@ fn provider_query_attach_model_test_capabilities(
fn provider_query_codex_preset_fallback(
provider: &StoredProviderCatalogProvider,
fetch_error: &str,
) -> Option<ProviderQueryKeyFetchResult> {
if !provider.provider_type.trim().eq_ignore_ascii_case("codex") {
return None;
@@ -289,12 +291,59 @@ fn provider_query_codex_preset_fallback(
Some(ProviderQueryKeyFetchResult {
models: aggregate_models_for_cache(&models),
error: None,
warning: None,
warning: Some(format!(
"Codex 动态模型目录不可用,已使用内置模型卡:{fetch_error}"
)),
from_cache: false,
has_success: true,
})
}
async fn provider_query_persist_preset_models(
state: &AdminAppState<'_>,
provider: &StoredProviderCatalogProvider,
key: &StoredProviderCatalogKey,
models: &[Value],
) -> Result<(), GatewayError> {
if models.is_empty() {
return Ok(());
}
<AppState as ModelFetchRuntimeState>::write_upstream_models_cache(
state.app(),
&provider.id,
&key.id,
models,
)
.await;
if let Some(catalog_metadata) = model_catalog_upstream_metadata(&provider.provider_type, models)
{
provider_query_persist_upstream_metadata(state, key, &catalog_metadata).await?;
}
Ok(())
}
async fn provider_query_persist_upstream_metadata(
state: &AdminAppState<'_>,
key: &StoredProviderCatalogKey,
upstream_metadata: &Value,
) -> Result<(), GatewayError> {
let updated_at = current_unix_secs();
for (namespace, value) in
upstream_metadata_namespace_updates(key.upstream_metadata.as_ref(), upstream_metadata)
{
state
.app()
.upsert_provider_catalog_key_upstream_metadata_namespace(
&key.id,
&namespace,
&value,
Some(updated_at),
)
.await?;
}
Ok(())
}
mod model_test;
pub(crate) use self::model_test::{
@@ -439,11 +488,9 @@ async fn provider_query_fetch_models_for_key(
let selected_endpoints = selected_models_fetch_endpoints(endpoints, key);
if selected_endpoints.is_empty() {
if let Some(models) = preset_models_for_provider(&provider.provider_type) {
let models = provider_query_filter_models_for_key(
provider,
key,
aggregate_models_for_cache(&models),
);
let models = aggregate_models_for_cache(&models);
provider_query_persist_preset_models(state, provider, key, &models).await?;
let models = provider_query_filter_models_for_key(provider, key, models);
return Ok(ProviderQueryKeyFetchResult {
models,
error: None,
@@ -492,7 +539,11 @@ async fn provider_query_fetch_models_for_key(
Ok(outcome) => outcome,
Err(err) => {
all_errors.push(err);
if let Some(fallback) = provider_query_codex_preset_fallback(provider) {
if let Some(fallback) =
provider_query_codex_preset_fallback(provider, &all_errors.join("; "))
{
provider_query_persist_preset_models(state, provider, key, &fallback.models)
.await?;
return Ok(fallback);
}
return Ok(ProviderQueryKeyFetchResult {
@@ -517,20 +568,14 @@ async fn provider_query_fetch_models_for_key(
.await;
}
if let Some(upstream_metadata) = outcome.upstream_metadata.as_ref() {
let merged_metadata =
merge_upstream_metadata(key.upstream_metadata.as_ref(), upstream_metadata);
state
.app()
.update_provider_catalog_key_upstream_metadata(
&key.id,
Some(&merged_metadata),
Some(current_unix_secs()),
)
.await?;
provider_query_persist_upstream_metadata(state, key, upstream_metadata).await?;
}
if unique_models.is_empty() && !all_errors.is_empty() {
if let Some(fallback) = provider_query_codex_preset_fallback(provider) {
if let Some(fallback) =
provider_query_codex_preset_fallback(provider, &all_errors.join("; "))
{
provider_query_persist_preset_models(state, provider, key, &fallback.models).await?;
return Ok(fallback);
}
}
@@ -828,14 +828,12 @@ 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,
)
}
@@ -2095,8 +2093,18 @@ 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;
@@ -2107,11 +2115,18 @@ 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,
),
));
};
@@ -2130,29 +2145,50 @@ 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)
@@ -2184,10 +2220,12 @@ 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,
@@ -2212,7 +2250,7 @@ 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,
@@ -2251,13 +2289,9 @@ 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(),
@@ -3034,6 +3068,37 @@ 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"
) && 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"
{
@@ -3256,8 +3321,8 @@ 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::apply_codex_openai_special_headers(
&mut request_headers,
&provider_request_body,
&parts.headers,
@@ -3266,9 +3331,17 @@ 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 {
@@ -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))
{
@@ -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",
@@ -997,7 +1002,7 @@ 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 +1070,48 @@ 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!(