feat: provider api_formats 可空继承、OpenAI 图片 edit/variation 与用量配额多项补强

- 鉴权: provider_api_keys.api_formats 改为可空,OAuth 托管 key 自动继承 provider endpoints 激活格式,相关 handler/测试同步更新
- 图片 planner: OpenAI 图片路由新增 edit/variation 操作并完善参数校验、响应合并与流式处理
- 用量: user me usage 返回区分 client_requested_stream/upstream_is_stream,前端 usage 列表筛选与展示增强
- 统计: stats_daily_model 新增 cache_creation_ephemeral_5m/1h tokens 字段与回填链路
- 配额/observability: quota repository 新增内存与 SQL 扩展,admin observability usage 字段扩充
- 其它: OAuth 导入/轮询收敛、provider 汇总与 pool admin 读写链路小修、新增 system_config 缓存与 provider template handler

Closes #318

Co-authored-by: Entropy.Xu <53283266+Entropy-Xu@users.noreply.github.com>
This commit is contained in:
fawney19
2026-04-23 14:42:51 +08:00
parent f55f22d2e8
commit fa328e18a1
128 changed files with 5583 additions and 690 deletions

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@@ -0,0 +1,427 @@
use super::{
any, build_router_with_state, build_state_with_execution_runtime_override, json, start_server,
to_bytes, Arc, Body, Json, Mutex, Request, Router, StatusCode, TRACE_ID_HEADER,
};
use crate::ai_pipeline::CODEX_OPENAI_IMAGE_INTERNAL_MODEL;
use aether_crypto::{encrypt_python_fernet_plaintext, DEVELOPMENT_ENCRYPTION_KEY};
use aether_data::repository::auth::{
InMemoryAuthApiKeySnapshotRepository, StoredAuthApiKeySnapshot,
};
use aether_data::repository::candidate_selection::InMemoryMinimalCandidateSelectionReadRepository;
use aether_data::repository::candidates::InMemoryRequestCandidateRepository;
use aether_data::repository::provider_catalog::InMemoryProviderCatalogReadRepository;
use aether_data_contracts::repository::candidate_selection::{
StoredMinimalCandidateSelectionRow, StoredProviderModelMapping,
};
use aether_data_contracts::repository::provider_catalog::{
StoredProviderCatalogEndpoint, StoredProviderCatalogKey, StoredProviderCatalogProvider,
};
use sha2::{Digest, Sha256};
#[tokio::test]
async fn gateway_executes_codex_image_stream_via_local_decision_gate_after_oauth_refresh() {
#[derive(Debug, Clone)]
struct SeenExecutionRuntimeStreamRequest {
trace_id: String,
url: String,
model: String,
authorization: String,
x_client_request_id: String,
tool_type: String,
tool_partial_images: Option<u64>,
request_stream: bool,
plan_stream: bool,
}
#[derive(Debug, Clone)]
struct SeenRefreshRequest {
content_type: String,
body: String,
}
fn hash_api_key(value: &str) -> String {
let mut hasher = Sha256::new();
hasher.update(value.as_bytes());
format!("{:x}", hasher.finalize())
}
fn sample_auth_snapshot(api_key_id: &str, user_id: &str) -> StoredAuthApiKeySnapshot {
StoredAuthApiKeySnapshot::new(
user_id.to_string(),
"alice".to_string(),
Some("alice@example.com".to_string()),
"user".to_string(),
"local".to_string(),
true,
false,
Some(serde_json::json!(["openai", "codex"])),
Some(serde_json::json!(["openai:image"])),
Some(serde_json::json!(["gpt-image-2"])),
api_key_id.to_string(),
Some("default".to_string()),
true,
false,
false,
Some(60),
Some(5),
Some(4_102_444_800_i64),
Some(serde_json::json!(["openai", "codex"])),
Some(serde_json::json!(["openai:image"])),
Some(serde_json::json!(["gpt-image-2"])),
)
.expect("auth snapshot should build")
}
fn sample_candidate_row() -> StoredMinimalCandidateSelectionRow {
StoredMinimalCandidateSelectionRow {
provider_id: "provider-codex-image-stream-local-1".to_string(),
provider_name: "codex".to_string(),
provider_type: "codex".to_string(),
provider_priority: 10,
provider_is_active: true,
endpoint_id: "endpoint-codex-image-stream-local-1".to_string(),
endpoint_api_format: "openai:image".to_string(),
endpoint_api_family: Some("openai".to_string()),
endpoint_kind: Some("image".to_string()),
endpoint_is_active: true,
key_id: "key-codex-image-stream-local-1".to_string(),
key_name: "oauth".to_string(),
key_auth_type: "oauth".to_string(),
key_is_active: true,
key_api_formats: Some(vec!["openai:image".to_string()]),
key_allowed_models: None,
key_capabilities: None,
key_internal_priority: 5,
key_global_priority_by_format: Some(serde_json::json!({"openai:image": 1})),
model_id: "model-codex-image-stream-local-1".to_string(),
global_model_id: "global-model-codex-image-stream-local-1".to_string(),
global_model_name: "gpt-image-2".to_string(),
global_model_mappings: None,
global_model_supports_streaming: Some(true),
model_provider_model_name: "gpt-image-2".to_string(),
model_provider_model_mappings: Some(vec![StoredProviderModelMapping {
name: "gpt-image-2".to_string(),
priority: 1,
api_formats: Some(vec!["openai:image".to_string()]),
}]),
model_supports_streaming: Some(true),
model_is_active: true,
model_is_available: true,
}
}
fn sample_provider_catalog_provider() -> StoredProviderCatalogProvider {
StoredProviderCatalogProvider::new(
"provider-codex-image-stream-local-1".to_string(),
"codex".to_string(),
Some("https://chatgpt.com".to_string()),
"codex".to_string(),
)
.expect("provider should build")
.with_transport_fields(
true,
false,
false,
None,
Some(2),
None,
Some(20.0),
None,
None,
)
}
fn sample_provider_catalog_endpoint() -> StoredProviderCatalogEndpoint {
StoredProviderCatalogEndpoint::new(
"endpoint-codex-image-stream-local-1".to_string(),
"provider-codex-image-stream-local-1".to_string(),
"openai:image".to_string(),
Some("openai".to_string()),
Some("image".to_string()),
true,
)
.expect("endpoint should build")
.with_transport_fields(
"https://chatgpt.com/backend-api/codex".to_string(),
None,
None,
Some(2),
None,
Some(serde_json::json!({"upstream_stream_policy":"force_stream"})),
None,
None,
)
.expect("endpoint transport should build")
}
fn sample_provider_catalog_key() -> StoredProviderCatalogKey {
let encrypted_auth_config = encrypt_python_fernet_plaintext(
DEVELOPMENT_ENCRYPTION_KEY,
r#"{"provider_type":"codex","refresh_token":"rt-codex-image-stream-local-123"}"#,
)
.expect("auth config should encrypt");
StoredProviderCatalogKey::new(
"key-codex-image-stream-local-1".to_string(),
"provider-codex-image-stream-local-1".to_string(),
"oauth".to_string(),
"oauth".to_string(),
None,
true,
)
.expect("key should build")
.with_transport_fields(
Some(serde_json::json!(["openai:image"])),
encrypt_python_fernet_plaintext(DEVELOPMENT_ENCRYPTION_KEY, "__placeholder__")
.expect("placeholder api key should encrypt"),
Some(encrypted_auth_config),
None,
Some(serde_json::json!({"openai:image": 1})),
None,
None,
None,
None,
)
.expect("key transport should build")
}
let seen_execution_runtime = Arc::new(Mutex::new(None::<SeenExecutionRuntimeStreamRequest>));
let seen_execution_runtime_clone = Arc::clone(&seen_execution_runtime);
let seen_refresh = Arc::new(Mutex::new(None::<SeenRefreshRequest>));
let seen_refresh_clone = Arc::clone(&seen_refresh);
let refresh = Router::new().route(
"/oauth/token",
any(move |request: Request| {
let seen_refresh_inner = Arc::clone(&seen_refresh_clone);
async move {
let (parts, body) = request.into_parts();
let raw_body = to_bytes(body, usize::MAX).await.expect("body should read");
*seen_refresh_inner.lock().expect("mutex should lock") = Some(SeenRefreshRequest {
content_type: parts
.headers
.get(http::header::CONTENT_TYPE)
.and_then(|value| value.to_str().ok())
.unwrap_or_default()
.to_string(),
body: String::from_utf8(raw_body.to_vec())
.expect("refresh body should be utf8"),
});
Json(json!({
"access_token": "refreshed-codex-image-stream-access-token",
"refresh_token": "rt-codex-image-stream-local-456",
"token_type": "Bearer",
"expires_in": 3600
}))
}
}),
);
let execution_runtime = Router::new().route(
"/v1/execute/stream",
any(move |request: Request| {
let seen_execution_runtime_inner = Arc::clone(&seen_execution_runtime_clone);
async move {
let (parts, body) = request.into_parts();
let raw_body = to_bytes(body, usize::MAX).await.expect("body should read");
let payload: serde_json::Value = serde_json::from_slice(&raw_body)
.expect("execution runtime payload should parse");
*seen_execution_runtime_inner
.lock()
.expect("mutex should lock") = Some(SeenExecutionRuntimeStreamRequest {
trace_id: parts
.headers
.get(TRACE_ID_HEADER)
.and_then(|value| value.to_str().ok())
.unwrap_or_default()
.to_string(),
url: payload
.get("url")
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
model: payload
.get("body")
.and_then(|value| value.get("json_body"))
.and_then(|value| value.get("model"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
authorization: payload
.get("headers")
.and_then(|value| value.get("authorization"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
x_client_request_id: payload
.get("headers")
.and_then(|value| value.get("x-client-request-id"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
tool_type: payload
.get("body")
.and_then(|value| value.get("json_body"))
.and_then(|value| value.get("tools"))
.and_then(|value| value.get(0))
.and_then(|value| value.get("type"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
tool_partial_images: payload
.get("body")
.and_then(|value| value.get("json_body"))
.and_then(|value| value.get("tools"))
.and_then(|value| value.get(0))
.and_then(|value| value.get("partial_images"))
.and_then(|value| value.as_u64()),
request_stream: payload
.get("body")
.and_then(|value| value.get("json_body"))
.and_then(|value| value.get("stream"))
.and_then(|value| value.as_bool())
.unwrap_or(false),
plan_stream: payload
.get("stream")
.and_then(|value| value.as_bool())
.unwrap_or(false),
});
let frames = concat!(
"{\"type\":\"headers\",\"payload\":{\"kind\":\"headers\",\"status_code\":200,\"headers\":{\"content-type\":\"text/event-stream\"}}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"event: response.output_item.done\\ndata: {\\\"type\\\":\\\"response.output_item.done\\\",\\\"output_index\\\":0,\\\"item\\\":{\\\"id\\\":\\\"ig_123\\\",\\\"type\\\":\\\"image_generation_call\\\",\\\"result\\\":\\\"aGVsbG8=\\\"}}\\n\\n\"}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"event: response.completed\\ndata: {\\\"type\\\":\\\"response.completed\\\",\\\"response\\\":{\\\"tool_usage\\\":{\\\"image_gen\\\":{\\\"input_tokens\\\":11,\\\"output_tokens\\\":22,\\\"total_tokens\\\":33}}}}\\n\\n\"}}\n",
"{\"type\":\"telemetry\",\"payload\":{\"kind\":\"telemetry\",\"telemetry\":{\"elapsed_ms\":41}}}\n",
"{\"type\":\"eof\",\"payload\":{\"kind\":\"eof\"}}\n"
);
let mut response = http::Response::builder()
.status(StatusCode::OK)
.body(Body::from(frames))
.expect("response should build");
response.headers_mut().insert(
http::header::CONTENT_TYPE,
http::HeaderValue::from_static("application/x-ndjson"),
);
response
}
}),
);
let client_api_key = "sk-client-codex-image-stream-local";
let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
Some(hash_api_key(client_api_key)),
sample_auth_snapshot(
"key-codex-image-stream-client-123",
"user-codex-image-stream-client-123",
),
)]));
let candidate_selection_repository =
Arc::new(InMemoryMinimalCandidateSelectionReadRepository::seed(vec![
sample_candidate_row(),
]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![sample_provider_catalog_provider()],
vec![sample_provider_catalog_endpoint()],
vec![sample_provider_catalog_key()],
));
let (refresh_url, refresh_handle) = start_server(refresh).await;
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let oauth_refresh =
crate::provider_transport::LocalOAuthRefreshCoordinator::with_adapters_for_tests(vec![
Arc::new(
crate::provider_transport::oauth_refresh::GenericOAuthRefreshAdapter::default()
.with_token_url_for_tests("codex", format!("{refresh_url}/oauth/token")),
),
]);
let gateway_state = build_state_with_execution_runtime_override(execution_runtime_url.clone())
.with_data_state_for_tests(
crate::data::GatewayDataState::with_auth_candidate_selection_provider_catalog_and_request_candidate_repository_for_tests(
auth_repository,
candidate_selection_repository,
provider_catalog_repository,
Arc::new(InMemoryRequestCandidateRepository::default()),
DEVELOPMENT_ENCRYPTION_KEY,
),
)
.with_oauth_refresh_coordinator_for_tests(oauth_refresh);
let gateway = build_router_with_state(gateway_state);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/images/generations"))
.header(http::header::CONTENT_TYPE, "application/json")
.header(
http::header::AUTHORIZATION,
format!("Bearer {client_api_key}"),
)
.header(TRACE_ID_HEADER, "trace-codex-image-stream-local-123")
.body(
"{\"model\":\"gpt-image-2\",\"prompt\":\"生成一张中国历史视觉海报\",\"stream\":true,\"partial_images\":1}",
)
.send()
.await
.expect("request should succeed");
assert_eq!(response.status(), StatusCode::OK);
assert_eq!(
response
.headers()
.get(http::header::CONTENT_TYPE)
.and_then(|value| value.to_str().ok()),
Some("text/event-stream")
);
let response_text = response.text().await.expect("body should read");
assert!(response_text.contains("event: image_generation.partial_image"));
assert!(response_text.contains("\"type\":\"image_generation.partial_image\""));
assert!(response_text.contains("\"b64_json\":\"aGVsbG8=\""));
assert!(response_text.contains("event: image_generation.completed"));
assert!(response_text.contains("\"type\":\"image_generation.completed\""));
assert!(response_text.contains("\"total_tokens\":33"));
assert!(!response_text.contains("response.completed"));
let seen_refresh_request = seen_refresh
.lock()
.expect("mutex should lock")
.clone()
.expect("refresh request should be captured");
assert_eq!(
seen_refresh_request.content_type,
"application/x-www-form-urlencoded"
);
assert!(seen_refresh_request
.body
.contains("refresh_token=rt-codex-image-stream-local-123"));
let seen_execution_runtime_request = seen_execution_runtime
.lock()
.expect("mutex should lock")
.clone()
.expect("execution runtime stream should be captured");
assert_eq!(
seen_execution_runtime_request.trace_id,
"trace-codex-image-stream-local-123"
);
assert_eq!(
seen_execution_runtime_request.url,
"https://chatgpt.com/backend-api/codex/responses"
);
assert_eq!(
seen_execution_runtime_request.model,
CODEX_OPENAI_IMAGE_INTERNAL_MODEL
);
assert_eq!(
seen_execution_runtime_request.authorization,
"Bearer refreshed-codex-image-stream-access-token"
);
assert_eq!(
seen_execution_runtime_request.x_client_request_id,
"trace-codex-image-stream-local-123"
);
assert_eq!(seen_execution_runtime_request.tool_type, "image_generation");
assert_eq!(seen_execution_runtime_request.tool_partial_images, Some(1));
assert!(seen_execution_runtime_request.request_stream);
assert!(seen_execution_runtime_request.plan_stream);
gateway_handle.abort();
execution_runtime_handle.abort();
refresh_handle.abort();
}

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@@ -24,3 +24,4 @@ use super::{
};
mod decision;
mod image;

View File

@@ -2,6 +2,7 @@ use super::{
any, build_router_with_state, build_state_with_execution_runtime_override, json, start_server,
to_bytes, Arc, Body, Json, Mutex, Request, Router, StatusCode, TRACE_ID_HEADER,
};
use crate::ai_pipeline::CODEX_OPENAI_IMAGE_INTERNAL_MODEL;
use aether_crypto::{encrypt_python_fernet_plaintext, DEVELOPMENT_ENCRYPTION_KEY};
use aether_data::repository::auth::{
InMemoryAuthApiKeySnapshotRepository, StoredAuthApiKeySnapshot,
@@ -27,13 +28,13 @@ async fn gateway_executes_codex_image_sync_via_local_decision_gate_after_oauth_r
model: String,
authorization: String,
x_client_request_id: String,
user_agent: String,
version: String,
originator: String,
prompt: String,
content_is_string: bool,
tool_type: String,
tool_size: String,
tool_quality: String,
tool_background: String,
tool_choice_type: String,
tool_has_n: bool,
request_stream: bool,
plan_stream: bool,
@@ -268,24 +269,6 @@ async fn gateway_executes_codex_image_sync_via_local_decision_gate_after_oauth_r
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
user_agent: payload
.get("headers")
.and_then(|value| value.get("user-agent"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
version: payload
.get("headers")
.and_then(|value| value.get("version"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
originator: payload
.get("headers")
.and_then(|value| value.get("originator"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
prompt: payload
.get("body")
.and_then(|value| value.get("json_body"))
@@ -320,6 +303,32 @@ async fn gateway_executes_codex_image_sync_via_local_decision_gate_after_oauth_r
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
tool_quality: payload
.get("body")
.and_then(|value| value.get("json_body"))
.and_then(|value| value.get("tools"))
.and_then(|value| value.get(0))
.and_then(|value| value.get("quality"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
tool_background: payload
.get("body")
.and_then(|value| value.get("json_body"))
.and_then(|value| value.get("tools"))
.and_then(|value| value.get(0))
.and_then(|value| value.get("background"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
tool_choice_type: payload
.get("body")
.and_then(|value| value.get("json_body"))
.and_then(|value| value.get("tool_choice"))
.and_then(|value| value.get("type"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
tool_has_n: payload
.get("body")
.and_then(|value| value.get("json_body"))
@@ -349,9 +358,13 @@ async fn gateway_executes_codex_image_sync_via_local_decision_gate_after_oauth_r
concat!(
"data: {\"type\":\"response.created\",\"response\":{\"id\":\"resp_img_123\",\"created_at\":1776839946}}\n\n",
"data: {\"type\":\"response.output_item.done\",\"output_index\":0,\"item\":{\"id\":\"ig_123\",\"type\":\"image_generation_call\",\"status\":\"generating\",\"output_format\":\"png\",\"quality\":\"medium\",\"size\":\"1024x1024\",\"revised_prompt\":\"中国历史视觉海报\",\"result\":\"aGVsbG8=\"}}\n\n",
"data: {\"type\":\"response.completed\",\"response\":{\"id\":\"resp_img_123\",\"object\":\"response\",\"model\":\"gpt-5.4\",\"status\":\"completed\",\"output\":[],\"usage\":{\"input_tokens\":2440,\"output_tokens\":184,\"total_tokens\":2624},\"tool_usage\":{\"image_gen\":{\"input_tokens\":171,\"input_tokens_details\":{\"image_tokens\":0,\"text_tokens\":171},\"output_tokens\":1372,\"output_tokens_details\":{\"image_tokens\":1372,\"text_tokens\":0},\"total_tokens\":1543}}}}\n\n",
"data: {\"type\":\"response.completed\",\"response\":{\"id\":\"resp_img_123\",\"object\":\"response\",\"model\":\"__CODEX_IMAGE_MODEL__\",\"status\":\"completed\",\"output\":[],\"usage\":{\"input_tokens\":2440,\"output_tokens\":184,\"total_tokens\":2624},\"tool_usage\":{\"image_gen\":{\"input_tokens\":171,\"input_tokens_details\":{\"image_tokens\":0,\"text_tokens\":171},\"output_tokens\":1372,\"output_tokens_details\":{\"image_tokens\":1372,\"text_tokens\":0},\"total_tokens\":1543}}}}\n\n",
"data: [DONE]\n\n"
)
.replace(
"__CODEX_IMAGE_MODEL__",
CODEX_OPENAI_IMAGE_INTERNAL_MODEL,
)
)
},
"telemetry": {
@@ -457,7 +470,10 @@ async fn gateway_executes_codex_image_sync_via_local_decision_gate_after_oauth_r
seen_execution_runtime_request.url,
"https://chatgpt.com/backend-api/codex/responses"
);
assert_eq!(seen_execution_runtime_request.model, "gpt-5.4");
assert_eq!(
seen_execution_runtime_request.model,
CODEX_OPENAI_IMAGE_INTERNAL_MODEL
);
assert_eq!(
seen_execution_runtime_request.authorization,
"Bearer refreshed-codex-image-access-token"
@@ -466,11 +482,6 @@ async fn gateway_executes_codex_image_sync_via_local_decision_gate_after_oauth_r
seen_execution_runtime_request.x_client_request_id,
"trace-codex-image-local-123"
);
assert!(seen_execution_runtime_request
.user_agent
.starts_with("codex-tui/0.122.0"));
assert_eq!(seen_execution_runtime_request.version, "0.122.0");
assert_eq!(seen_execution_runtime_request.originator, "codex_cli_rs");
assert_eq!(
seen_execution_runtime_request.prompt,
"生成一张中国历史视觉海报"
@@ -478,6 +489,12 @@ async fn gateway_executes_codex_image_sync_via_local_decision_gate_after_oauth_r
assert!(seen_execution_runtime_request.content_is_string);
assert_eq!(seen_execution_runtime_request.tool_type, "image_generation");
assert_eq!(seen_execution_runtime_request.tool_size, "1024x1024");
assert_eq!(seen_execution_runtime_request.tool_quality, "high");
assert_eq!(seen_execution_runtime_request.tool_background, "auto");
assert_eq!(
seen_execution_runtime_request.tool_choice_type,
"image_generation"
);
assert!(!seen_execution_runtime_request.tool_has_n);
assert!(seen_execution_runtime_request.request_stream);
assert!(!seen_execution_runtime_request.plan_stream);

View File

@@ -985,9 +985,11 @@ fn admin_provider_write_uses_specific_local_owners() {
for pattern in [
"mod create;",
"mod endpoint;",
"mod template;",
"mod update;",
"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::{",
"pub(crate) use self::update::build_admin_update_provider_record;",
] {
assert!(
@@ -1044,7 +1046,7 @@ fn admin_provider_write_uses_specific_local_owners() {
for pattern in [
"pub(crate) fn build_admin_fixed_provider_endpoint_record(",
"admin_endpoint_signature_parts(",
"normalize_admin_base_url(base_url)?",
"normalize_admin_base_url(template.base_url)?",
] {
assert!(
write_provider_endpoint.contains(pattern),
@@ -1052,6 +1054,20 @@ fn admin_provider_write_uses_specific_local_owners() {
);
}
let write_provider_template = read_workspace_file(
"apps/aether-gateway/src/handlers/admin/provider/write/provider/template.rs",
);
for pattern in [
"pub(crate) async fn reconcile_admin_fixed_provider_template_endpoints(",
"pub(crate) fn apply_admin_fixed_provider_endpoint_template_overrides(",
"const FIXED_PROVIDER_TEMPLATE_METADATA_KEY: &str = \"_aether_fixed_provider_template\";",
] {
assert!(
write_provider_template.contains(pattern),
"handlers/admin/provider/write/provider/template.rs should own {pattern}"
);
}
let write_key_create =
read_workspace_file("apps/aether-gateway/src/handlers/admin/provider/write/keys/create.rs");
for pattern in [

View File

@@ -1481,6 +1481,83 @@ async fn gateway_marks_exhausted_codex_pool_key_as_blocked_when_flag_enabled() {
assert_eq!(keys[0]["account_quota"], json!("5H剩余 0.0%"));
}
#[tokio::test]
async fn gateway_lists_inherited_fixed_provider_api_formats_for_pool_keys() {
let mut provider = sample_provider("provider-codex", "codex", 10).with_transport_fields(
true,
false,
true,
None,
None,
None,
None,
None,
Some(json!({
"pool_advanced": {
"enabled": true
}
})),
);
provider.provider_type = "codex".to_string();
let mut key = sample_key(
"key-codex-inherited",
"provider-codex",
"openai:cli",
"oauth-placeholder",
);
key.name = "codex inherited".to_string();
key.auth_type = "oauth".to_string();
key.api_formats = Some(json!(["openai:cli", "openai:compact"]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![provider],
vec![
sample_endpoint(
"endpoint-codex-cli",
"provider-codex",
"openai:cli",
"https://chatgpt.com/backend-api/codex",
),
sample_endpoint(
"endpoint-codex-image",
"provider-codex",
"openai:image",
"https://chatgpt.com/backend-api/codex",
),
],
vec![key],
));
let state = AppState::new()
.expect("gateway should build")
.with_data_state_for_tests(GatewayDataState::with_provider_catalog_reader_for_tests(
provider_catalog_repository,
));
let response = local_admin_pool_response(
&state,
http::Method::GET,
"/api/admin/pool/provider-codex/keys?page=1&page_size=50&status=all",
None,
)
.await;
assert_eq!(response.status(), StatusCode::OK);
let payload: serde_json::Value = serde_json::from_slice(
&to_bytes(response.into_body(), usize::MAX)
.await
.expect("body should read"),
)
.expect("json body should parse");
let keys = payload["keys"].as_array().expect("keys should be array");
assert_eq!(keys.len(), 1);
assert_eq!(
keys[0]["api_formats"],
json!(["openai:cli", "openai:image"])
);
}
#[tokio::test]
async fn gateway_prefers_status_snapshot_codex_quota_over_stale_metadata() {
let mut provider = sample_provider("provider-codex", "codex", 10).with_transport_fields(

View File

@@ -1564,7 +1564,7 @@ async fn gateway_handles_openai_cli_test_model_locally() {
.json_body
.as_ref()
.and_then(|body| body.get("instructions")),
Some(&json!("You are GPT-5."))
Some(&json!("You are ChatGPT."))
);
assert_eq!(
plan.body

View File

@@ -942,7 +942,7 @@ async fn gateway_creates_admin_provider_locally_with_trusted_admin_principal() {
.list_endpoints_by_provider_ids(std::slice::from_ref(&created.id))
.await
.expect("endpoints should list");
assert_eq!(endpoints.len(), 2);
assert_eq!(endpoints.len(), 3);
let cli_endpoint = endpoints
.iter()
.find(|endpoint| endpoint.api_format == "openai:cli")
@@ -951,6 +951,10 @@ async fn gateway_creates_admin_provider_locally_with_trusted_admin_principal() {
.iter()
.find(|endpoint| endpoint.api_format == "openai:compact")
.expect("compact endpoint should exist");
let image_endpoint = endpoints
.iter()
.find(|endpoint| endpoint.api_format == "openai:image")
.expect("image endpoint should exist");
assert_eq!(
cli_endpoint.base_url,
"https://chatgpt.com/backend-api/codex"
@@ -959,8 +963,13 @@ async fn gateway_creates_admin_provider_locally_with_trusted_admin_principal() {
compact_endpoint.base_url,
"https://chatgpt.com/backend-api/codex"
);
assert_eq!(
image_endpoint.base_url,
"https://chatgpt.com/backend-api/codex"
);
assert_eq!(cli_endpoint.max_retries, Some(7));
assert_eq!(compact_endpoint.max_retries, Some(7));
assert_eq!(image_endpoint.max_retries, Some(7));
assert_eq!(
cli_endpoint
.config
@@ -969,14 +978,220 @@ async fn gateway_creates_admin_provider_locally_with_trusted_admin_principal() {
.and_then(serde_json::Value::as_str),
Some("force_stream")
);
assert_eq!(
image_endpoint
.config
.as_ref()
.and_then(|value| value.get("upstream_stream_policy"))
.and_then(serde_json::Value::as_str),
Some("force_stream")
);
assert!(cli_endpoint.body_rules.is_none());
assert!(compact_endpoint.body_rules.is_none());
assert!(image_endpoint.body_rules.is_none());
assert_eq!(*upstream_hits.lock().expect("mutex should lock"), 0);
gateway_handle.abort();
upstream_handle.abort();
}
#[tokio::test]
async fn gateway_updates_fixed_provider_and_reconciles_template_managed_endpoints() {
let upstream_hits = Arc::new(Mutex::new(0usize));
let upstream_hits_clone = Arc::clone(&upstream_hits);
let upstream = Router::new().route(
"/api/admin/providers/provider-codex",
any(move |_request: Request| {
let upstream_hits_inner = Arc::clone(&upstream_hits_clone);
async move {
*upstream_hits_inner.lock().expect("mutex should lock") += 1;
(StatusCode::OK, Body::from("unexpected upstream hit"))
}
}),
);
let mut provider = sample_provider("provider-codex", "codex", 10).with_transport_fields(
true,
false,
true,
None,
Some(2),
None,
None,
None,
None,
);
provider.provider_type = "codex".to_string();
let mut cli_endpoint = sample_endpoint(
"endpoint-codex-cli",
"provider-codex",
"openai:cli",
"https://chatgpt.com/backend-api/codex",
);
cli_endpoint.max_retries = Some(2);
cli_endpoint.config = Some(json!({"upstream_stream_policy": "force_stream"}));
let mut key = sample_key(
"key-codex-oauth",
"provider-codex",
"openai:cli",
"oauth-placeholder",
);
key.auth_type = "oauth".to_string();
key.api_formats = Some(json!(["openai:cli"]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![provider],
vec![cli_endpoint],
vec![key],
));
let (_upstream_url, upstream_handle) = start_server(upstream).await;
let gateway = build_router_with_state(
AppState::new()
.expect("gateway should build")
.with_data_state_for_tests(
GatewayDataState::with_provider_catalog_repository_for_tests(
provider_catalog_repository.clone(),
),
),
);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let response = reqwest::Client::new()
.patch(format!("{gateway_url}/api/admin/providers/provider-codex"))
.header(crate::constants::GATEWAY_HEADER, "rust-phase3b")
.header(TRUSTED_ADMIN_USER_ID_HEADER, "admin-user-123")
.header(TRUSTED_ADMIN_USER_ROLE_HEADER, "admin")
.header(TRUSTED_ADMIN_SESSION_ID_HEADER, "session-123")
.json(&json!({
"max_retries": 9
}))
.send()
.await
.expect("request should succeed");
let status = response.status();
let body = response.text().await.expect("body should read");
assert_eq!(status, StatusCode::OK, "body={body}");
let endpoints = provider_catalog_repository
.list_endpoints_by_provider_ids(&["provider-codex".to_string()])
.await
.expect("endpoints should list");
assert_eq!(endpoints.len(), 3);
let cli_endpoint = endpoints
.iter()
.find(|endpoint| endpoint.api_format == "openai:cli")
.expect("cli endpoint should exist");
let compact_endpoint = endpoints
.iter()
.find(|endpoint| endpoint.api_format == "openai:compact")
.expect("compact endpoint should exist");
let image_endpoint = endpoints
.iter()
.find(|endpoint| endpoint.api_format == "openai:image")
.expect("image endpoint should exist");
assert_eq!(cli_endpoint.max_retries, Some(9));
assert_eq!(compact_endpoint.max_retries, Some(9));
assert_eq!(image_endpoint.max_retries, Some(9));
assert_eq!(
cli_endpoint
.config
.as_ref()
.and_then(|value| value.get("_aether_fixed_provider_template"))
.and_then(|value| value.get("managed"))
.and_then(serde_json::Value::as_bool),
Some(true)
);
assert_eq!(
image_endpoint
.config
.as_ref()
.and_then(|value| value.get("upstream_stream_policy"))
.and_then(serde_json::Value::as_str),
Some("force_stream")
);
let keys = provider_catalog_repository
.list_keys_by_provider_ids(&["provider-codex".to_string()])
.await
.expect("keys should list");
assert_eq!(keys.len(), 1);
assert!(keys[0].api_formats.is_none());
assert_eq!(*upstream_hits.lock().expect("mutex should lock"), 0);
gateway_handle.abort();
upstream_handle.abort();
}
#[tokio::test]
async fn gateway_lists_effective_api_formats_for_fixed_oauth_provider_keys() {
let mut provider = sample_provider("provider-codex", "codex", 10)
.with_transport_fields(true, false, true, None, None, None, None, None, None);
provider.provider_type = "codex".to_string();
let mut key = sample_key(
"key-codex-legacy",
"provider-codex",
"openai:cli",
"oauth-placeholder",
);
key.name = "codex legacy".to_string();
key.auth_type = "oauth".to_string();
key.api_formats = Some(json!(["openai:cli", "openai:compact"]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![provider],
vec![
sample_endpoint(
"endpoint-codex-cli",
"provider-codex",
"openai:cli",
"https://chatgpt.com/backend-api/codex",
),
sample_endpoint(
"endpoint-codex-image",
"provider-codex",
"openai:image",
"https://chatgpt.com/backend-api/codex",
),
],
vec![key],
));
let gateway = build_router_with_state(
AppState::new()
.expect("gateway should build")
.with_data_state_for_tests(GatewayDataState::with_provider_catalog_reader_for_tests(
provider_catalog_repository,
)),
);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let response = reqwest::Client::new()
.get(format!(
"{gateway_url}/api/admin/endpoints/providers/provider-codex/keys?skip=0&limit=100"
))
.header(crate::constants::GATEWAY_HEADER, "rust-phase3b")
.header(TRUSTED_ADMIN_USER_ID_HEADER, "admin-user-123")
.header(TRUSTED_ADMIN_USER_ROLE_HEADER, "admin")
.header(TRUSTED_ADMIN_SESSION_ID_HEADER, "session-123")
.send()
.await
.expect("request should succeed");
assert_eq!(response.status(), StatusCode::OK);
let payload: serde_json::Value = response.json().await.expect("json body should parse");
let keys = payload.as_array().expect("keys payload should be array");
assert_eq!(keys.len(), 1);
assert_eq!(
keys[0]["api_formats"],
json!(["openai:cli", "openai:image"])
);
gateway_handle.abort();
}
#[tokio::test]
async fn gateway_handles_admin_provider_health_monitor_locally_with_trusted_admin_principal() {
let upstream_hits = Arc::new(Mutex::new(0usize));

View File

@@ -578,7 +578,7 @@ async fn gateway_rejects_gpt_image_2_on_chat_completions_without_hitting_fallbac
let payload: serde_json::Value = response.json().await.expect("json body should parse");
assert_eq!(
payload["detail"],
"gpt-image-2 仅支持通过 /v1/images/generations 或 /v1/images/edits 调用"
"图片模型仅支持通过 /v1/images/generations、/v1/images/edits 或 /v1/images/variations 调用"
);
assert_eq!(*fallback_probe_hits.lock().expect("mutex should lock"), 0);
@@ -640,7 +640,66 @@ async fn gateway_rejects_image_request_with_n_greater_than_one_without_hitting_f
Some(EXECUTION_PATH_LOCAL_AI_PUBLIC)
);
let payload: serde_json::Value = response.json().await.expect("json body should parse");
assert_eq!(payload["detail"], "图片接口当前仅支持 n=1");
assert_eq!(payload["detail"], "当前 Codex 图片反代仅支持 n=1");
assert_eq!(*fallback_probe_hits.lock().expect("mutex should lock"), 0);
gateway_handle.abort();
fallback_probe_handle.abort();
}
#[tokio::test]
async fn gateway_rejects_variation_request_without_image_without_hitting_fallback_probe() {
let fallback_probe_hits = Arc::new(Mutex::new(0usize));
let fallback_probe_hits_clone = Arc::clone(&fallback_probe_hits);
let fallback_probe = Router::new().route(
"/{*path}",
any(move |_request: Request| {
let fallback_probe_hits_inner = Arc::clone(&fallback_probe_hits_clone);
async move {
*fallback_probe_hits_inner.lock().expect("mutex should lock") += 1;
(StatusCode::OK, Json(json!({"proxied": true}))).into_response()
}
}),
);
let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
Some(hash_api_key("sk-openai-image-variation")),
unrestricted_models_snapshot("key-openai-image-variation", "user-openai-image-variation"),
)]));
let (_unused_fallback_probe_url, fallback_probe_handle) = start_server(fallback_probe).await;
let gateway = build_router_with_state(
AppState::new()
.expect("gateway should build")
.with_auth_api_key_data_reader_for_tests(auth_repository),
);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/images/variations"))
.header("authorization", "Bearer sk-openai-image-variation")
.header(http::header::CONTENT_TYPE, "application/json")
.body(
serde_json::to_vec(&json!({
"model": "dall-e-2",
"response_format": "url"
}))
.expect("request body should encode"),
)
.send()
.await
.expect("request should succeed");
assert_eq!(response.status(), StatusCode::BAD_REQUEST);
assert_eq!(
response
.headers()
.get(EXECUTION_PATH_HEADER)
.and_then(|value| value.to_str().ok()),
Some(EXECUTION_PATH_LOCAL_AI_PUBLIC)
);
let payload: serde_json::Value = response.json().await.expect("json body should parse");
assert_eq!(payload["detail"], "图片变体请求需要 image 文件");
assert_eq!(*fallback_probe_hits.lock().expect("mutex should lock"), 0);
gateway_handle.abort();