Merge branch 'merge-pr-483'

This commit is contained in:
fawney19
2026-05-19 02:28:43 +08:00
53 changed files with 8081 additions and 305 deletions
@@ -13,6 +13,7 @@ use aether_data::repository::provider_catalog::InMemoryProviderCatalogReadReposi
use aether_data_contracts::repository::candidate_selection::{
StoredMinimalCandidateSelectionRow, StoredProviderModelMapping,
};
use aether_data_contracts::repository::candidates::RequestCandidateReadRepository;
use aether_data_contracts::repository::provider_catalog::{
StoredProviderCatalogEndpoint, StoredProviderCatalogKey, StoredProviderCatalogProvider,
};
@@ -741,3 +742,451 @@ async fn gateway_bridges_codex_image_sync_json_to_streaming_image_sse() {
execution_runtime_handle.abort();
refresh_handle.abort();
}
#[derive(Debug, Clone)]
struct SeenImageBridgeExecutionPlan {
trace_id: String,
client_api_format: String,
provider_api_format: String,
url: String,
plan_stream: bool,
auth_header: String,
chatgpt_web_marker: String,
body_json: serde_json::Value,
}
fn image_bridge_hash_api_key(value: &str) -> String {
let mut hasher = Sha256::new();
hasher.update(value.as_bytes());
format!("{:x}", hasher.finalize())
}
fn image_bridge_auth_snapshot(api_key_id: &str, user_id: &str) -> StoredAuthApiKeySnapshot {
StoredAuthApiKeySnapshot::new(
user_id.to_string(),
"alice".to_string(),
Some("[email protected]".to_string()),
"user".to_string(),
"local".to_string(),
true,
false,
None,
Some(serde_json::json!([
"openai:chat",
"openai:responses",
"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),
None,
Some(serde_json::json!([
"openai:chat",
"openai:responses",
"openai:image"
])),
Some(serde_json::json!(["gpt-image-2"])),
)
.expect("auth snapshot should build")
}
fn image_bridge_candidate_row(
prefix: &str,
provider_name: &str,
provider_type: &str,
) -> StoredMinimalCandidateSelectionRow {
let key_auth_type = if provider_type == "chatgpt_web" {
"bearer"
} else {
"api_key"
};
StoredMinimalCandidateSelectionRow {
provider_id: format!("provider-{prefix}"),
provider_name: provider_name.to_string(),
provider_type: provider_type.to_string(),
provider_priority: 10,
provider_is_active: true,
endpoint_id: format!("endpoint-{prefix}"),
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: format!("key-{prefix}"),
key_name: "prod".to_string(),
key_auth_type: key_auth_type.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: format!("model-{prefix}"),
global_model_id: format!("global-model-{prefix}"),
global_model_name: "gpt-image-2".to_string(),
global_model_mappings: None,
global_model_supports_streaming: Some(false),
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()]),
endpoint_ids: None,
}]),
model_supports_streaming: Some(false),
model_is_active: true,
model_is_available: true,
}
}
fn image_bridge_provider_catalog_provider(
prefix: &str,
provider_name: &str,
provider_type: &str,
base_url: &str,
) -> StoredProviderCatalogProvider {
StoredProviderCatalogProvider::new(
format!("provider-{prefix}"),
provider_name.to_string(),
Some(base_url.to_string()),
provider_type.to_string(),
)
.expect("provider should build")
.with_transport_fields(
true,
false,
false,
None,
Some(2),
None,
Some(20.0),
None,
None,
)
}
fn image_bridge_provider_catalog_endpoint(
prefix: &str,
base_url: &str,
) -> StoredProviderCatalogEndpoint {
StoredProviderCatalogEndpoint::new(
format!("endpoint-{prefix}"),
format!("provider-{prefix}"),
"openai:image".to_string(),
Some("openai".to_string()),
Some("image".to_string()),
true,
)
.expect("endpoint should build")
.with_transport_fields(
base_url.to_string(),
None,
None,
Some(2),
None,
None,
None,
None,
)
.expect("endpoint transport should build")
}
fn image_bridge_provider_catalog_key(
prefix: &str,
provider_type: &str,
) -> StoredProviderCatalogKey {
let auth_type = if provider_type == "chatgpt_web" {
"bearer"
} else {
"api_key"
};
StoredProviderCatalogKey::new(
format!("key-{prefix}"),
format!("provider-{prefix}"),
"prod".to_string(),
auth_type.to_string(),
None,
true,
)
.expect("key should build")
.with_transport_fields(
Some(serde_json::json!(["openai:image"])),
encrypt_python_fernet_plaintext(DEVELOPMENT_ENCRYPTION_KEY, "sk-upstream-image-bridge")
.expect("api key should encrypt"),
None,
None,
Some(serde_json::json!({"openai:image": 1})),
None,
None,
None,
None,
)
.expect("key transport should build")
}
async fn start_image_bridge_gateway(
prefix: &str,
provider_name: &str,
provider_type: &str,
base_url: &str,
execution_runtime_url: String,
) -> (
String,
tokio::task::JoinHandle<()>,
String,
Arc<InMemoryRequestCandidateRepository>,
) {
let client_api_key = format!("sk-client-{prefix}");
let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
Some(image_bridge_hash_api_key(&client_api_key)),
image_bridge_auth_snapshot(&format!("api-key-{prefix}"), &format!("user-{prefix}")),
)]));
let candidate_selection_repository =
Arc::new(InMemoryMinimalCandidateSelectionReadRepository::seed(vec![
image_bridge_candidate_row(prefix, provider_name, provider_type),
]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![image_bridge_provider_catalog_provider(
prefix,
provider_name,
provider_type,
base_url,
)],
vec![image_bridge_provider_catalog_endpoint(prefix, base_url)],
vec![image_bridge_provider_catalog_key(prefix, provider_type)],
));
let request_candidate_repository = Arc::new(InMemoryRequestCandidateRepository::default());
let gateway_state = build_state_with_execution_runtime_override(execution_runtime_url)
.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::clone(&request_candidate_repository),
DEVELOPMENT_ENCRYPTION_KEY,
),
);
let gateway = build_router_with_state(gateway_state);
let (gateway_url, gateway_handle) = start_server(gateway).await;
(
gateway_url,
gateway_handle,
client_api_key,
request_candidate_repository,
)
}
fn capture_image_bridge_execution_plan(
parts: http::request::Parts,
payload: serde_json::Value,
) -> SeenImageBridgeExecutionPlan {
SeenImageBridgeExecutionPlan {
trace_id: parts
.headers
.get(TRACE_ID_HEADER)
.and_then(|value| value.to_str().ok())
.unwrap_or_default()
.to_string(),
client_api_format: payload
.get("client_api_format")
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
provider_api_format: payload
.get("provider_api_format")
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
url: payload
.get("url")
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
plan_stream: payload
.get("stream")
.and_then(|value| value.as_bool())
.unwrap_or(false),
auth_header: payload
.get("headers")
.and_then(|value| value.get("authorization"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
chatgpt_web_marker: payload
.get("headers")
.and_then(|value| value.get("x-aether-chatgpt-web-image"))
.and_then(|value| value.as_str())
.unwrap_or_default()
.to_string(),
body_json: payload
.get("body")
.and_then(|value| value.get("json_body"))
.cloned()
.unwrap_or(serde_json::Value::Null),
}
}
fn image_bridge_execution_runtime(
seen_execution_plan: Arc<Mutex<Option<SeenImageBridgeExecutionPlan>>>,
) -> Router {
Router::new().route(
"/v1/execute/stream",
any(move |request: Request| {
let seen_execution_plan_inner = Arc::clone(&seen_execution_plan);
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_plan_inner.lock().expect("mutex should lock") =
Some(capture_image_bridge_execution_plan(parts, payload));
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_bridge_123\\\",\\\"type\\\":\\\"image_generation_call\\\",\\\"result\\\":\\\"aGVsbG8=\\\",\\\"output_format\\\":\\\"png\\\"}}\\n\\n\"}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"event: response.completed\\ndata: {\\\"type\\\":\\\"response.completed\\\",\\\"response\\\":{\\\"id\\\":\\\"resp_bridge_123\\\",\\\"object\\\":\\\"response\\\",\\\"model\\\":\\\"gpt-image-2\\\",\\\"status\\\":\\\"completed\\\",\\\"output\\\":[]}}\\n\\n\"}}\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
}
}),
)
}
#[tokio::test]
async fn gateway_routes_openai_chat_stream_image_intent_to_openai_image_plan_without_streaming_support(
) {
let seen_execution_plan = Arc::new(Mutex::new(None::<SeenImageBridgeExecutionPlan>));
let execution_runtime = image_bridge_execution_runtime(Arc::clone(&seen_execution_plan));
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let (gateway_url, gateway_handle, client_api_key, request_candidate_repository) =
start_image_bridge_gateway(
"chat-stream-image-bridge",
"image-provider",
"custom",
"https://images.example.com",
execution_runtime_url,
)
.await;
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/chat/completions"))
.header(http::header::CONTENT_TYPE, "application/json")
.header(http::header::AUTHORIZATION, format!("Bearer {client_api_key}"))
.header(TRACE_ID_HEADER, "trace-chat-stream-image-bridge-123")
.body(
r#"{"model":"gpt-image-2","messages":[{"role":"user","content":"Draw a city made of glass"}],"stream":true,"size":"1024x1024"}"#,
)
.send()
.await
.expect("request should succeed");
let status = response.status();
let response_text = response.text().await.expect("body should read");
let stored_candidates = request_candidate_repository
.list_by_request_id("trace-chat-stream-image-bridge-123")
.await
.expect("request candidates should read");
assert_eq!(
status,
StatusCode::OK,
"{response_text}\n{stored_candidates:#?}"
);
assert!(response_text.contains("\"object\":\"chat.completion.chunk\""));
assert!(response_text.contains("![generated image](data:image/png;base64,aGVsbG8=)"));
assert!(response_text.contains("data: [DONE]"));
assert!(!response_text.contains("image_generation.completed"));
let seen_plan = seen_execution_plan
.lock()
.expect("mutex should lock")
.clone()
.expect("execution plan should be captured");
assert_eq!(seen_plan.trace_id, "trace-chat-stream-image-bridge-123");
assert_eq!(seen_plan.client_api_format, "openai:chat");
assert_eq!(seen_plan.provider_api_format, "openai:image");
assert_eq!(seen_plan.url, "https://images.example.com/v1/responses");
assert!(seen_plan.plan_stream);
assert_eq!(seen_plan.auth_header, "Bearer sk-upstream-image-bridge");
assert_eq!(seen_plan.chatgpt_web_marker, "");
assert_eq!(seen_plan.body_json["model"], "gpt-image-2");
assert_eq!(seen_plan.body_json["stream"], true);
assert_eq!(
seen_plan.body_json["input"][0]["content"],
"Draw a city made of glass"
);
assert_eq!(seen_plan.body_json["tools"][0]["type"], "image_generation");
assert_eq!(seen_plan.body_json["tools"][0]["size"], "1024x1024");
gateway_handle.abort();
execution_runtime_handle.abort();
}
#[tokio::test]
async fn gateway_routes_openai_responses_stream_image_intent_to_openai_image_plan_without_streaming_support(
) {
let seen_execution_plan = Arc::new(Mutex::new(None::<SeenImageBridgeExecutionPlan>));
let execution_runtime = image_bridge_execution_runtime(Arc::clone(&seen_execution_plan));
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let (gateway_url, gateway_handle, client_api_key, _request_candidate_repository) =
start_image_bridge_gateway(
"responses-stream-image-bridge",
"image-provider",
"custom",
"https://images.example.com",
execution_runtime_url,
)
.await;
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/responses"))
.header(http::header::CONTENT_TYPE, "application/json")
.header(http::header::AUTHORIZATION, format!("Bearer {client_api_key}"))
.header(TRACE_ID_HEADER, "trace-responses-stream-image-bridge-123")
.body(
r#"{"model":"gpt-image-2","input":"Draw a mountain observatory","tools":[{"type":"image_generation","size":"1024x1024"}],"stream":true}"#,
)
.send()
.await
.expect("request should succeed");
let status = response.status();
let response_text = response.text().await.expect("body should read");
assert_eq!(status, StatusCode::OK, "{response_text}");
assert!(response_text.contains("response.output_item.done"));
assert!(response_text.contains("image_generation_call"));
let seen_plan = seen_execution_plan
.lock()
.expect("mutex should lock")
.clone()
.expect("execution plan should be captured");
assert_eq!(
seen_plan.trace_id,
"trace-responses-stream-image-bridge-123"
);
assert_eq!(seen_plan.client_api_format, "openai:responses");
assert_eq!(seen_plan.provider_api_format, "openai:image");
assert_eq!(seen_plan.url, "https://images.example.com/v1/responses");
assert!(seen_plan.plan_stream);
assert_eq!(seen_plan.auth_header, "Bearer sk-upstream-image-bridge");
assert_eq!(seen_plan.body_json["stream"], true);
assert_eq!(seen_plan.body_json["input"], "Draw a mountain observatory");
assert_eq!(seen_plan.body_json["tools"][0]["type"], "image_generation");
assert_eq!(seen_plan.body_json["tools"][0]["size"], "1024x1024");
gateway_handle.abort();
execution_runtime_handle.abort();
}
@@ -148,6 +148,120 @@ async fn gateway_handles_admin_provider_endpoints_locally_with_trusted_admin_pri
upstream_handle.abort();
}
#[tokio::test]
async fn gateway_counts_fixed_provider_oauth_keys_for_inherited_endpoint_formats() {
let mut codex_provider = sample_provider("provider-codex", "codex", 10);
codex_provider.provider_type = "codex".to_string();
let mut chatgpt_web_provider = sample_provider("provider-chatgpt-web", "chatgpt_web", 20);
chatgpt_web_provider.provider_type = "chatgpt_web".to_string();
let mut codex_key = sample_key(
"key-codex-oauth",
"provider-codex",
"openai:responses:compact",
"oauth-token",
);
codex_key.auth_type = "oauth".to_string();
codex_key.api_formats = Some(json!(["legacy:mismatch"]));
let mut chatgpt_web_key = sample_key(
"key-chatgpt-web-oauth",
"provider-chatgpt-web",
"openai:image",
"oauth-token",
);
chatgpt_web_key.auth_type = "oauth".to_string();
chatgpt_web_key.api_formats = Some(json!(["legacy:mismatch"]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![codex_provider, chatgpt_web_provider],
vec![
sample_endpoint(
"endpoint-codex-compact",
"provider-codex",
"openai:responses:compact",
"https://chatgpt.com/backend-api/codex",
),
sample_endpoint(
"endpoint-codex-image",
"provider-codex",
"openai:image",
"https://chatgpt.com/backend-api/codex",
),
sample_endpoint(
"endpoint-chatgpt-web-image",
"provider-chatgpt-web",
"openai:image",
"https://chatgpt.com",
),
],
vec![codex_key, chatgpt_web_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 client = reqwest::Client::new();
let codex_response = client
.get(format!(
"{gateway_url}/api/admin/endpoints/providers/provider-codex/endpoints?skip=0&limit=50"
))
.header(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!(codex_response.status(), StatusCode::OK);
let codex_payload: serde_json::Value = codex_response.json().await.expect("json should parse");
let codex_items = codex_payload
.as_array()
.expect("payload should be an array");
for api_format in ["openai:responses:compact", "openai:image"] {
let endpoint = codex_items
.iter()
.find(|item| item["api_format"] == api_format)
.expect("endpoint should exist");
assert_eq!(endpoint["total_keys"], 1);
assert_eq!(endpoint["active_keys"], 1);
}
let chatgpt_web_response = client
.get(format!(
"{gateway_url}/api/admin/endpoints/providers/provider-chatgpt-web/endpoints?skip=0&limit=50"
))
.header(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!(chatgpt_web_response.status(), StatusCode::OK);
let chatgpt_web_payload: serde_json::Value = chatgpt_web_response
.json()
.await
.expect("json should parse");
let chatgpt_web_items = chatgpt_web_payload
.as_array()
.expect("payload should be an array");
let chatgpt_web_image = chatgpt_web_items
.iter()
.find(|item| item["api_format"] == "openai:image")
.expect("image endpoint should exist");
assert_eq!(chatgpt_web_image["total_keys"], 1);
assert_eq!(chatgpt_web_image["active_keys"], 1);
gateway_handle.abort();
}
#[tokio::test]
async fn gateway_counts_keys_with_null_api_formats_for_each_fixed_provider_endpoint() {
let upstream_hits = Arc::new(Mutex::new(0usize));
@@ -195,7 +309,7 @@ async fn gateway_counts_keys_with_null_api_formats_for_each_fixed_provider_endpo
vec![inherited_key],
));
let (upstream_url, upstream_handle) = start_server(upstream).await;
let (_, upstream_handle) = start_server(upstream).await;
let gateway = build_router_with_state(
AppState::new()
.expect("gateway should build")
@@ -936,6 +936,142 @@ async fn gateway_handles_admin_global_model_routing_locally_with_trusted_admin_p
upstream_handle.abort();
}
#[tokio::test]
async fn gateway_global_model_routing_counts_image_provider_keys_by_provider_model_name() {
let upstream_hits = Arc::new(Mutex::new(0usize));
let upstream_hits_clone = Arc::clone(&upstream_hits);
let upstream = Router::new().route(
"/api/admin/models/global/global-gpt-image/routing",
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 image_provider = sample_provider("provider-image", "image", 10);
image_provider.provider_type = "chatgpt_web".to_string();
let grok_provider = sample_provider("provider-grok", "grok2api", 20);
let mut image_key = sample_key(
"key-image-routing",
"provider-image",
"legacy:mismatch",
"sk-image-routing-1234",
);
image_key.name = "image-account".to_string();
image_key.auth_type = "oauth".to_string();
image_key.allowed_models = Some(json!(["gpt-image-2"]));
let mut grok_key = sample_key(
"key-grok-routing",
"provider-grok",
"openai:chat",
"sk-grok-routing-5678",
);
grok_key.name = "all".to_string();
grok_key.allowed_models = Some(json!(["gpt-image-2"]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![image_provider, grok_provider],
vec![
sample_endpoint(
"endpoint-image",
"provider-image",
"openai:image",
"https://chatgpt.example",
),
sample_endpoint(
"endpoint-grok-chat",
"provider-grok",
"openai:chat",
"https://grok.example",
),
],
vec![image_key, grok_key],
));
let global_model_repository = Arc::new(
InMemoryGlobalModelReadRepository::seed(Vec::new())
.with_admin_global_models(vec![sample_admin_global_model(
"global-gpt-image",
"GPT-Image-2",
"GPT-Image-2",
)])
.with_admin_provider_models(vec![
sample_admin_provider_model(
"model-image-gpt-image",
"provider-image",
"global-gpt-image",
"gpt-image-2",
),
sample_admin_provider_model(
"model-grok-gpt-image",
"provider-grok",
"global-gpt-image",
"gpt-image-2",
),
]),
);
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_reader_for_tests(
provider_catalog_repository,
)
.with_global_model_repository_for_tests(global_model_repository),
),
);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let response = reqwest::Client::new()
.get(format!(
"{gateway_url}/api/admin/models/global/global-gpt-image/routing"
))
.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");
assert_eq!(payload["global_model_name"], "GPT-Image-2");
assert_eq!(payload["total_providers"], 2);
assert_eq!(payload["active_providers"], 2);
let providers = payload["providers"].as_array().expect("providers array");
assert_eq!(providers.len(), 2);
let image_endpoints = providers[0]["endpoints"]
.as_array()
.expect("image endpoints array");
assert_eq!(providers[0]["id"], "provider-image");
assert_eq!(image_endpoints[0]["api_format"], "openai:image");
assert_eq!(image_endpoints[0]["total_keys"], 1);
assert_eq!(image_endpoints[0]["active_keys"], 1);
assert_eq!(image_endpoints[0]["keys"][0]["name"], "image-account");
let grok_endpoints = providers[1]["endpoints"]
.as_array()
.expect("grok endpoints array");
assert_eq!(providers[1]["id"], "provider-grok");
assert_eq!(grok_endpoints[0]["api_format"], "openai:chat");
assert_eq!(grok_endpoints[0]["total_keys"], 1);
assert_eq!(grok_endpoints[0]["active_keys"], 1);
assert_eq!(grok_endpoints[0]["keys"][0]["name"], "all");
assert_eq!(*upstream_hits.lock().expect("mutex should lock"), 0);
gateway_handle.abort();
upstream_handle.abort();
}
#[tokio::test]
async fn gateway_creates_admin_global_model_locally_with_trusted_admin_principal() {
let upstream_hits = Arc::new(Mutex::new(0usize));
@@ -113,10 +113,7 @@ struct ExpectedUsagePricing {
impl ExpectedUsagePricing {
fn total_tokens(self) -> u64 {
self.input_tokens
.saturating_add(self.output_tokens)
.saturating_add(self.cache_creation_tokens)
.saturating_add(self.cache_read_tokens)
self.input_tokens.saturating_add(self.output_tokens)
}
fn cache_creation_uncategorized_tokens(self) -> u64 {