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Author SHA1 Message Date
diegosouzapw
f5d0399739 fix(playground): surface provider model loading errors in LlmChatCard (#9626) 2026-08-08 13:29:28 -03:00
60 changed files with 1130 additions and 2679 deletions

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@@ -52,11 +52,8 @@ export class ServerSupervisor {
// silently, so a boot that never becomes ready looked like a dead hang with zero
// output even at APP_LOG_LEVEL=debug. Pipe stdout too and buffer it alongside
// stderr so a readiness timeout can surface what the child actually printed.
// #9156: macOS launchd cannot resolve bare "node" because its PATH is
// minimal. Always use process.execPath (the absolute path to the running
// Node.js binary) so the supervisor never depends on PATH resolution.
this.child = spawn(
process.execPath,
process.versions.bun ? process.execPath : "node",
process.versions.bun
? [this.serverPath]
: buildNodeRuntimeArgs(process.env, this.memoryLimit, this.serverPath),

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@@ -1 +0,0 @@
- test(combo): guard auto/best-free never leaks the combo name as a model (#7754)

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@@ -1 +0,0 @@
- fix(build): include better-sqlite3 prebuilds in standalone bun bundle

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@@ -1 +0,0 @@
- fix(cli): use process.execPath for macOS launchd autostart

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@@ -1 +0,0 @@
- fix(providers): classify 400 out of extra usage as quota_exhausted for Anthropic OAuth

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@@ -1 +0,0 @@
- fix(resilience): failed connection test now sets a short cooldown so connections recover after transient outages (#9623)

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@@ -1 +0,0 @@
- fix(db): wire telemetry cleanup scheduler in Next.js startup path (#9624)

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@@ -1 +0,0 @@
- fix(db): align domain_cost_history cleanup cutoff with millisecond column (#9625)

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@@ -1 +0,0 @@
- fix(build): add build-next-isolated.mjs sibling imports to package.json files array

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@@ -1,5 +1,4 @@
{
"_rebaseline_2026_08_09_9296_adobe_media_capabilities": "PR #9296 (artickc, fix/adobe-firefly-model-capabilities) own growth: src/app/api/v1/models/catalog.ts 1590->1597 (+7). The image and video catalog serializers now expose the already-normalized Adobe Firefly discovery capability data (media_capabilities, plus the existing video modality/size fields) at their only response-emission chokepoints. The discovery parser and capability normalization remain in open-sse/services/adobeFireflyModels.ts; extracting these seven serialization fields would obscure the catalog contract. Covered by tests/unit/adobe-firefly.test.ts and tests/unit/image-upscale.test.ts.",
"_rebaseline_2026_07_24_8470_hyperagent_sticky_thread": "PR #8470 (artickc, fix/hyperagent-tool-loop-thread-sticky) own growth: open-sse/executors/hyperagent.ts 936->1025 (wc -l; check-file-size.mjs counts via split(\"\\n\").length so the gate sees 937->1026, +89, crosses the 1000 cap). Fixes a real bug where a reverse-conversion proxy (text-Intent/JSON to Claude Code native tool_calls) rewrites assistant messages between agentic tool-loop turns, breaking HyperAgents conversation-prefix fingerprint and cold-starting the thread mid tool-loop. Adds Anthropic tool_use/tool_result flattening to extractMessageText() plus a new rootUserFingerprint()/root-key lookup tier in resolveHyperAgentThreadBinding()/storeHyperAgentThreadAfterTurn() so the thread stays sticky across the tool loop. Cohesive additions inside the existing single-file executor; not extractable without splitting the executor mid-request-flow. Covered by tests/unit/executor-hyperagent.test.ts (19/19, +5 new cases for tool_result/tool_use flattening + root-key stickiness). Pre-merge review flagged a cross-conversation root-key collision risk (tracked in the PRs own mandatory pre-merge checklist, not yet addressed) — unrelated to this file-size ratchet, tracked separately by /fix-prs.",
"_rebaseline_2026_07_25_8494_capability_filter_fail_closed": "PR #8494 (fix/capability-filters-fail-closed, #8488) own growth: open-sse/services/combo.ts 3640->3693 (+53) adds a fail-closed guard after filterTargetsByRequestCompatibility() — when every eligible target is excluded by request-capability filtering (vision/tools/etc) instead of quota/health, the combo now returns an explicit `capability_mismatch` 400 (describeCapabilityFilterExhaustion, imported from combo/comboStructure.ts) rather than silently falling through to a generic no-targets error, plus a `compatFilterFailOpen` escape hatch (combo config OR settings) mirrored at both the main/auto and round-robin call sites for symmetry. combo/comboStructure.ts (previously under cap, un-frozen) grows 794->918 (+124) — new home for describeCapabilityFilterExhaustion + providerSupportsEmulatedToolCalling (#5240 emulated tool-calling exemption so fail-closed does not regress prompt-emulation-only combos like all-chatgpt-web). Irreducible orchestration wiring at the existing filter chokepoint (same precedent as #7301's universal-cooldown-retry generalization). Companion test tests/unit/combo-routing-engine.test.ts 3409->3449 (+40, fail-closed/fail-open coverage across both call sites) also rebaselined. Covered by tests/unit/8488-capability-filter-fail-closed.test.ts (new) + 95/95 passing across both files. Structural shrink of combo.ts tracked in #3501.",
"_rebaseline_2026_07_25_8499_ts7_result_union_predicates": "PR #8499 (backryun, chore/ts7-types-executor-scattered) own growth: muse-spark-web.ts 1396->1405 (+9, irreducible). Under this workspace's `strictNullChecks: false`, the boolean-literal discriminant on `GraphqlResult` (`{ ok: true } | { ok: false; error: string }`) narrows the positive `.ok===true` branch but leaves `!result.ok` at the full union under TS7, making `.error` unreachable to the checker at the two call sites (warmup, mode-switch). Fixed by adding a single `isGraphqlFailure()` type-predicate helper (doc comment + 3-line body) reused at both call sites instead of duplicating the predicate inline — not extractable to a shared module without splitting a single-file executor's local narrowing helper out of its own file. Covered by the existing muse-spark-web executor test suite (no behavior change, pure narrowing fix).",
@@ -388,7 +387,7 @@
"src/app/(dashboard)/dashboard/usage/components/EvalsTab.tsx": 2148,
"src/app/(dashboard)/dashboard/usage/components/ProviderLimits/index.tsx": 1119,
"src/app/api/providers/[id]/models/route.ts": 2361,
"src/app/api/v1/models/catalog.ts": 1597,
"src/app/api/v1/models/catalog.ts": 1590,
"src/lib/db/apiKeys.ts": 1529,
"src/lib/db/core.ts": 1639,
"src/lib/db/migrationRunner.ts": 1094,
@@ -537,7 +536,7 @@
"src/app/(dashboard)/dashboard/usage/components/EvalsTab.tsx": "2148",
"src/app/(dashboard)/dashboard/usage/components/ProviderLimits/index.tsx": "1119",
"src/app/api/providers/[id]/models/route.ts": "2361",
"src/app/api/v1/models/catalog.ts": "1597",
"src/app/api/v1/models/catalog.ts": "1590",
"src/lib/tokenHealthCheck.ts": "1053",
"src/lib/db/apiKeys.ts": "1529",
"src/lib/db/core.ts": "1639",

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@@ -149,18 +149,6 @@ export const ERROR_RULES: ErrorRule[] = [
backoff: true,
reason: "quota_exhausted",
},
{
id: "out_of_extra_usage",
text: "out of extra usage",
backoff: true,
reason: "quota_exhausted",
},
{
id: "extra_usage_required",
text: "extra usage required",
backoff: true,
reason: "quota_exhausted",
},
{ id: "capacity", text: "capacity", backoff: true, reason: "model_capacity" },
{ id: "overloaded", text: "overloaded", backoff: true, reason: "model_capacity" },
{ id: "high_demand", text: "high demand", backoff: true, reason: "model_capacity" },

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@@ -12,10 +12,6 @@ import { FREEPIK_IMAGE_PROVIDER } from "./providers/registry/freepik/index.ts";
import { STABILITY_AI_IMAGE_MODELS } from "./providers/registry/stability-ai/imageModels.ts";
import { GEMINI_IMAGEN_PROVIDER } from "./providers/registry/gemini/imageModels.ts";
import { CHEAPERINFERENCE_IMAGE_PROVIDER } from "./providers/registry/cheaperinference/imageModels.ts";
import {
ADOBE_FIREFLY_IMAGE_ROUTING_ALIASES,
toRegistryImageModels,
} from "../services/adobeFireflyModels.ts";
interface ImageModelEntry {
id: string;
@@ -26,8 +22,6 @@ interface ImageModelEntry {
imageRequired?: boolean;
description?: string;
isMarket?: boolean;
supportedSizes?: string[];
mediaCapabilities?: Record<string, unknown>;
}
interface ImageProviderConfig {
@@ -41,7 +35,6 @@ interface ImageProviderConfig {
authHeader: string;
format: string;
models: ImageModelEntry[];
routingAliases?: readonly string[];
supportedSizes: string[];
}
@@ -53,7 +46,6 @@ interface ImageModelAliasEntry {
inputModalities?: string[];
imageRequired?: boolean;
description?: string;
mediaCapabilities?: Record<string, unknown>;
}
interface ImageCatalogModelEntry {
@@ -63,7 +55,6 @@ interface ImageCatalogModelEntry {
supportedSizes: string[];
inputModalities: string[];
description?: string;
mediaCapabilities?: Record<string, unknown>;
}
const IMAGE_MODEL_ALIASES: Record<string, ImageModelAliasEntry> = {
@@ -687,9 +678,55 @@ export const IMAGE_PROVIDERS: Record<string, ImageProviderConfig> = {
authType: "apikey",
authHeader: "bearer",
format: "adobe-firefly-image",
models: toRegistryImageModels(),
routingAliases: ADOBE_FIREFLY_IMAGE_ROUTING_ALIASES,
supportedSizes: [],
models: [
{
id: "nano-banana-pro",
name: "Firefly Gemini 3.0 (Nano Banana Pro)",
inputModalities: ["text", "image"],
},
{
id: "nano-banana",
name: "Firefly Gemini 2.5 (Nano Banana)",
inputModalities: ["text", "image"],
},
{
id: "nano-banana-2",
name: "Firefly Gemini 3.1 (Nano Banana 2)",
inputModalities: ["text", "image"],
},
{ id: "gpt-image-2", name: "Firefly GPT Image 2", inputModalities: ["text", "image"] },
{ id: "gpt-image", name: "Firefly GPT Image 2", inputModalities: ["text", "image"] },
{ id: "gpt-image-1.5", name: "Firefly GPT Image 1.5", inputModalities: ["text", "image"] },
{ id: "flux-2", name: "Firefly Flux 2", inputModalities: ["text", "image"] },
{ id: "flux-pro", name: "Firefly Flux 1.1 Pro", inputModalities: ["text", "image"] },
{ id: "flux-ultra", name: "Firefly Flux 1.1 Ultra", inputModalities: ["text", "image"] },
{ id: "seedream-4", name: "Firefly Seedream 4.0", inputModalities: ["text", "image"] },
{
id: "seedream-5-lite",
name: "Firefly Seedream 5.0 Lite",
inputModalities: ["text", "image"],
},
{
id: "runway-gen4-image",
name: "Firefly Runway Gen-4 Image",
inputModalities: ["text", "image"],
},
// Topaz Labs upscalers (inputMediaUseCase: ["upscaling"]).
// Served by firefly-3p /v2/3p-images/upsample — see config/upscaleRegistry.ts.
{
id: "topaz-standard",
name: "Firefly Topaz Upscale (Standard)",
inputModalities: ["image"],
imageRequired: true,
},
{
id: "topaz-bloom",
name: "Firefly Topaz Bloom (Creative Upscale)",
inputModalities: ["image"],
imageRequired: true,
},
],
supportedSizes: ["1:1", "16:9", "9:16", "4:3", "3:4", "1024x1024", "1792x1024", "1024x1792"],
},
// Cheaper Inference (OSS-sponsor gateway). Declared AFTER adobe-firefly on
@@ -850,7 +887,7 @@ export function parseImageModel(modelStr) {
// No provider prefix — try to find the model in every provider
for (const [providerId, config] of Object.entries(IMAGE_PROVIDERS)) {
if (config.routingAliases?.includes(modelStr) || config.models.some((m) => m.id === modelStr)) {
if (config.models.some((m) => m.id === modelStr)) {
return { provider: providerId, model: modelStr };
}
}
@@ -869,10 +906,9 @@ function imageProviderCatalogEntries(
id: `${providerId}/${model.id}`,
name: model.name,
provider: providerId,
supportedSizes: model.supportedSizes || config.supportedSizes,
supportedSizes: config.supportedSizes,
inputModalities: model.inputModalities || ["text"],
description: model.description || undefined,
mediaCapabilities: model.mediaCapabilities,
}));
}

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@@ -5,17 +5,14 @@
* Supports local providers plus hosted task-based APIs such as Runway.
*/
import { parseModelFromRegistry } from "./registryUtils.ts";
import { parseModelFromRegistry, getAllModelsFromRegistry } from "./registryUtils.ts";
import { RUNWAYML_SUPPORTED_VIDEO_MODELS } from "./runway.ts";
import { SEGMIND_VIDEO_MODELS } from "./providers/registry/segmind/videoModels.ts";
import { toRegistryVideoModels } from "../services/adobeFireflyModels.ts";
interface VideoModel {
id: string;
name: string;
isMarket?: boolean;
supportedSizes?: string[];
mediaCapabilities?: Record<string, unknown>;
}
interface VideoProvider {
@@ -329,7 +326,8 @@ export const VIDEO_PROVIDERS: Record<string, VideoProvider> = {
},
// Adobe Firefly (unofficial) — same IMS/cookie credential as the image entry.
// Exact async video models and capabilities from the verified discovery snapshot.
// Async 3P video generate + poll (Sora 2, Veo 3.1, Kling …). Fallback list
// from models/discovery capture (adobe/get_models.txt).
"adobe-firefly": {
id: "adobe-firefly",
alias: "firefly",
@@ -337,7 +335,18 @@ export const VIDEO_PROVIDERS: Record<string, VideoProvider> = {
authType: "apikey",
authHeader: "bearer",
format: "adobe-firefly-video",
models: toRegistryVideoModels(),
models: [
{ id: "sora-2", name: "Firefly Sora 2" },
{ id: "sora-2-pro", name: "Firefly Sora 2 Pro" },
{ id: "veo-3.1", name: "Firefly Veo 3.1" },
{ id: "veo-3.1-fast", name: "Firefly Veo 3.1 Fast" },
{ id: "veo-3.1-ref", name: "Firefly Veo 3.1 Reference" },
{ id: "kling-3", name: "Firefly Kling v3 Standard I2V" },
{ id: "kling-v3-t2v", name: "Firefly Kling v3 Standard T2V" },
{ id: "kling-v3-pro-i2v", name: "Firefly Kling v3 Pro I2V" },
{ id: "luma-ray3", name: "Firefly Ray3" },
{ id: "runway-gen4-turbo", name: "Firefly Runway Gen-4 Video" },
],
},
};
@@ -359,17 +368,5 @@ export function parseVideoModel(modelStr: string | null) {
* Get all video models as a flat list
*/
export function getAllVideoModels() {
return Object.entries(VIDEO_PROVIDERS).flatMap(([providerId, config]) =>
[providerId, config.alias]
.filter((prefix): prefix is string => Boolean(prefix))
.flatMap((prefix) =>
config.models.map((model) => ({
id: `${prefix}/${model.id}`,
name: model.name,
provider: providerId,
supportedSizes: model.supportedSizes || [],
mediaCapabilities: model.mediaCapabilities,
}))
)
);
return getAllModelsFromRegistry(VIDEO_PROVIDERS);
}

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@@ -16,11 +16,11 @@ import {
AdobeFireflyError,
adobeFireflyGenerateImage,
adobeFireflyImageTimeoutMs,
adobeFireflyMaxImageRefs,
resolveAdobeAccessToken,
resolveAdobeSourceImageReferences,
resolveAdobeSourceImageIds,
resolveAdobeImageModel,
} from "../../../services/adobeFireflyClient.ts";
import { getAdobeReferenceUploadLimit } from "../../../services/adobeFireflyModels.ts";
import { isAdobeFireflyUpscaleModel } from "../../../services/adobeFireflyUpscale.ts";
import { handleAdobeFireflyImageUpscale } from "../../imageUpscale/adobeFirefly.ts";
@@ -90,8 +90,7 @@ export async function handleAdobeFireflyImageGeneration({
// Keep the raw credential blob for Cookie + sherlockToken (x-arp-session-id).
// JWT may be embedded in the same paste as cookies (HAR / multi-line).
const psd = (credentials as { providerSpecificData?: { cookie?: string } })
?.providerSpecificData;
const psd = (credentials as { providerSpecificData?: { cookie?: string } })?.providerSpecificData;
const sessionCookie =
(typeof psd?.cookie === "string" && psd.cookie.trim()) ||
(typeof credentials?.apiKey === "string" && credentials.apiKey.trim()) ||
@@ -99,11 +98,15 @@ export async function handleAdobeFireflyImageGeneration({
? credentials.accessToken
: undefined);
const { spec } = resolveAdobeImageModel(model);
const references = await resolveAdobeSourceImageReferences({
// Cap uploads by model family. gpt-image: 2 subject refs max (34+ stalls colligo → 504).
// nano: 4 general refs for multi-panel composition.
const { id: resolvedId } = resolveAdobeImageModel(model);
const maxRefs = adobeFireflyMaxImageRefs(resolvedId);
const sourceImageIds = await resolveAdobeSourceImageIds({
accessToken,
body,
max: getAdobeReferenceUploadLimit(spec, "image"),
max: maxRefs,
sessionCookie,
prompt,
fetchImpl,
@@ -118,13 +121,13 @@ export async function handleAdobeFireflyImageGeneration({
: undefined;
const timeoutMs = adobeFireflyImageTimeoutMs({
timeoutMs: explicitTimeout,
refCount: references.length,
refCount: sourceImageIds.length,
});
log?.info?.(
"IMAGE",
`${provider}/${model} (adobe-firefly) | prompt: "${prompt.slice(0, 60)}${prompt.length > 60 ? "..." : ""}"` +
(references.length ? ` | refs: ${references.length}` : "") +
(sourceImageIds.length ? ` | refs: ${sourceImageIds.length}/${maxRefs}` : "") +
` | pollTimeoutMs=${timeoutMs}`
);
@@ -136,8 +139,9 @@ export async function handleAdobeFireflyImageGeneration({
aspectRatio: body.aspect_ratio ?? body.aspectRatio ?? body.size,
quality: body.quality,
seed: Number.isFinite(seed as number) ? (seed as number) : undefined,
negativePrompt: typeof body.negative_prompt === "string" ? body.negative_prompt : undefined,
references: references.length ? references : undefined,
negativePrompt:
typeof body.negative_prompt === "string" ? body.negative_prompt : undefined,
sourceImageIds: sourceImageIds.length ? sourceImageIds : undefined,
sessionCookie,
timeoutMs,
fetchImpl,

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@@ -10,10 +10,9 @@ import {
AdobeFireflyError,
adobeFireflyGenerateVideo,
resolveAdobeAccessToken,
resolveAdobeSourceImageReferences,
resolveAdobeSourceImageIds,
resolveAdobeVideoModel,
} from "../../services/adobeFireflyClient.ts";
import { getAdobeReferenceUploadLimit } from "../../services/adobeFireflyModels.ts";
function normalizePositiveNumber(value: unknown, fallback: number): number {
const n = Number(value);
@@ -56,8 +55,7 @@ export async function handleAdobeFireflyVideoGeneration({
? Number(body.seed)
: undefined;
// Keep raw paste for Cookie + sherlockToken (x-arp-session-id).
const psd = (credentials as { providerSpecificData?: { cookie?: string } })
?.providerSpecificData;
const psd = (credentials as { providerSpecificData?: { cookie?: string } })?.providerSpecificData;
const sessionCookie =
(typeof psd?.cookie === "string" && psd.cookie.trim()) ||
(typeof credentials?.apiKey === "string" && credentials.apiKey.trim()) ||
@@ -65,11 +63,13 @@ export async function handleAdobeFireflyVideoGeneration({
? credentials.accessToken
: undefined);
const { spec } = resolveAdobeVideoModel(String(model));
const references = await resolveAdobeSourceImageReferences({
// Kling i2v / Veo ref / Sora frame: upload reference images first.
const { id: videoModelId } = resolveAdobeVideoModel(String(model));
const maxFrames = videoModelId.includes("kling") || videoModelId.includes("sora") ? 2 : 3;
const sourceImageIds = await resolveAdobeSourceImageIds({
accessToken,
body,
max: getAdobeReferenceUploadLimit(spec, "image"),
max: maxFrames,
sessionCookie,
prompt,
fetchImpl,
@@ -79,7 +79,7 @@ export async function handleAdobeFireflyVideoGeneration({
log?.info?.(
"VIDEO",
`${provider}/${model} (adobe-firefly) | prompt: "${prompt.slice(0, 60)}${prompt.length > 60 ? "..." : ""}"` +
(references.length ? ` | refs: ${references.length}` : "")
(sourceImageIds.length ? ` | frames: ${sourceImageIds.length}` : "")
);
const result = await adobeFireflyGenerateVideo({
@@ -99,7 +99,7 @@ export async function handleAdobeFireflyVideoGeneration({
? body.negativePrompt
: undefined,
generateAudio: body.generate_audio !== false && body.generateAudio !== false,
references: references.length ? references : undefined,
sourceImageIds: sourceImageIds.length ? sourceImageIds : undefined,
sessionCookie,
timeoutMs,
fetchImpl,

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@@ -1,590 +1,328 @@
/**
* Adobe Firefly model discovery and normalized media capabilities.
* Adobe Firefly model catalog: live discovery + static fallback from browser capture.
*
* The live discovery schema is authoritative. The generated snapshot is used only
* when a request cannot perform authenticated discovery (for example /v1/models).
* Live: POST firefly-3p.ff.adobe.io/v2/models/discovery (needs valid IMS token).
* Fallback: curated rows from adobe/get_models.txt (2026-07 Firefly SPA capture) so
* Media/Models still list usable ids when discovery fails or credentials are missing.
*/
import { ADOBE_FIREFLY_DISCOVERY_SNAPSHOT } from "./adobeFireflyModelSnapshot.ts";
export type AdobeFireflyModality = "image" | "video" | "audio" | "unknown";
export interface AdobeFireflyDiscoveredModel {
modelId: string;
modelVersion: string;
displayName: string;
modality: AdobeFireflyModality;
enabled: boolean;
providerName?: string;
releaseReadiness?: string;
healthStatus?: string;
inputMediaUseCases: string[];
requestSchema?: Record<string, unknown>;
backingModel?: string;
}
export interface AdobeFireflyReferenceInputCapability {
mediaType: string;
usageType: string;
minItems: number;
maxItems: number | null;
maxFileSizeBytes: number | null;
}
export interface AdobeFireflyMediaCapabilities {
inputMediaUseCases: string[];
schemaProperties: string[];
requiredProperties: string[];
referenceInputs: AdobeFireflyReferenceInputCapability[];
maxReferenceItems: number | null;
supportedSizes: string[];
supportedAspectRatios: string[];
supportedResolutions: string[];
supportedDurations: number[];
durationMin: number | null;
durationMax: number | null;
durationDefault: number | null;
outputCountMin: number | null;
outputCountMax: number | null;
promptMaxLength: number | null;
releaseReadiness: string;
healthStatus: string;
}
import {
type AdobeFireflyDiscoveredModel,
discoverAdobeFireflyModels,
resolveAdobeAccessToken,
} from "./adobeFireflyClient.ts";
export interface AdobeFireflyCatalogModel {
/** Stable API id without the provider prefix. */
/** OpenAI-style id without provider prefix, e.g. nano-banana-pro or flux-fluxPro */
id: string;
name: string;
modality: "image" | "video";
/** Upstream wire modelId for generate-async */
upstreamModelId: string;
/** Upstream wire modelVersion for generate-async */
upstreamModelVersion: string;
providerName: string;
backingModel: string;
inputModalities: string[];
capabilities: AdobeFireflyMediaCapabilities;
inputModalities?: string[];
}
export interface AdobeFireflyImageModelSpec extends AdobeFireflyCatalogModel {
modality: "image";
/** Payload dialect observed for this model family. */
family: "gemini" | "gpt-image" | "generic";
}
/**
* Static fallback built from adobe/get_models.txt discovery response.
* Friendly aliases first (Media page defaults), then popular upstream families.
*/
export const ADOBE_FIREFLY_FALLBACK_MODELS: AdobeFireflyCatalogModel[] = [
// ── Friendly aliases (handler resolveAdobeImageModel / resolveAdobeVideoModel) ──
{
id: "nano-banana-pro",
name: "Gemini 3.0 (Nano Banana Pro)",
modality: "image",
upstreamModelId: "gemini-flash",
upstreamModelVersion: "nano-banana-2",
inputModalities: ["text", "image"],
},
{
id: "nano-banana",
name: "Gemini 2.5 (Nano Banana)",
modality: "image",
upstreamModelId: "gemini-flash",
upstreamModelVersion: "nano-banana",
inputModalities: ["text", "image"],
},
{
id: "nano-banana-2",
name: "Gemini 3.1 (Nano Banana 2)",
modality: "image",
upstreamModelId: "gemini-flash",
upstreamModelVersion: "nano-banana-3",
inputModalities: ["text", "image"],
},
{
id: "gpt-image-2",
name: "GPT Image 2",
modality: "image",
upstreamModelId: "gpt-image",
upstreamModelVersion: "2",
inputModalities: ["text", "image"],
},
{
id: "gpt-image",
name: "GPT Image 2",
modality: "image",
upstreamModelId: "gpt-image",
upstreamModelVersion: "2",
inputModalities: ["text", "image"],
},
{
id: "gpt-image-1.5",
name: "GPT Image 1.5",
modality: "image",
upstreamModelId: "gpt-image",
upstreamModelVersion: "1.5",
inputModalities: ["text", "image"],
},
{
id: "sora-2",
name: "Sora 2",
modality: "video",
upstreamModelId: "sora",
upstreamModelVersion: "sora-2",
},
{
id: "sora-2-pro",
name: "Sora 2 Pro",
modality: "video",
upstreamModelId: "sora",
upstreamModelVersion: "sora-2-pro",
},
{
id: "veo-3.1",
name: "Veo 3.1",
modality: "video",
upstreamModelId: "veo",
upstreamModelVersion: "3.1-generate",
},
{
id: "veo-3.1-fast",
name: "Veo 3.1 Fast",
modality: "video",
upstreamModelId: "veo",
upstreamModelVersion: "3.1-fast-generate",
},
{
id: "veo-3.1-ref",
name: "Veo 3.1 Reference",
modality: "video",
upstreamModelId: "veo",
upstreamModelVersion: "3.1-generate",
},
{
id: "kling-3",
name: "Kling Video v3 Standard Image to Video",
modality: "video",
upstreamModelId: "kling",
upstreamModelVersion: "kling_v3_standard_i2v",
},
// ── Additional image families from discovery capture ──
{
id: "flux-2",
name: "Flux 2",
modality: "image",
upstreamModelId: "flux",
upstreamModelVersion: "2",
inputModalities: ["text", "image"],
},
{
id: "flux-pro",
name: "Flux 1.1 Pro",
modality: "image",
upstreamModelId: "flux",
upstreamModelVersion: "fluxPro",
inputModalities: ["text", "image"],
},
{
id: "flux-ultra",
name: "Flux 1.1 Ultra",
modality: "image",
upstreamModelId: "flux",
upstreamModelVersion: "fluxUltra",
inputModalities: ["text", "image"],
},
{
id: "seedream-4",
name: "Seedream 4.0",
modality: "image",
upstreamModelId: "seedream",
upstreamModelVersion: "seedream_v4",
inputModalities: ["text", "image"],
},
{
id: "seedream-5-lite",
name: "Seedream 5.0 Lite",
modality: "image",
upstreamModelId: "seedream",
upstreamModelVersion: "seedream_v5_lite",
inputModalities: ["text", "image"],
},
{
id: "runway-gen4-image",
name: "Runway Gen-4 Image",
modality: "image",
upstreamModelId: "runway-gen4-image",
upstreamModelVersion: "gen4_image",
inputModalities: ["text", "image"],
},
// ── Additional video families ──
{
id: "kling-v3-t2v",
name: "Kling Video v3 Standard Text to Video",
modality: "video",
upstreamModelId: "kling",
upstreamModelVersion: "kling_v3_standard_t2v",
},
{
id: "kling-v3-pro-i2v",
name: "Kling Video v3 Pro Image to Video",
modality: "video",
upstreamModelId: "kling",
upstreamModelVersion: "kling_v3_pro_i2v",
},
{
id: "luma-ray3",
name: "Ray3",
modality: "video",
upstreamModelId: "luma",
upstreamModelVersion: "3.0-ray",
},
{
id: "runway-gen4-turbo",
name: "Runway Gen-4 Video",
modality: "video",
upstreamModelId: "runway",
upstreamModelVersion: "gen4_turbo",
},
];
export interface AdobeFireflyVideoModelSpec extends AdobeFireflyCatalogModel {
modality: "video";
defaultDuration: number;
defaultResolution: string;
}
interface MergedObjectSchema {
properties: Record<string, Record<string, unknown>>;
required: string[];
}
function asRecord(value: unknown): Record<string, unknown> {
return value && typeof value === "object" && !Array.isArray(value)
? (value as Record<string, unknown>)
: {};
}
function asStringArray(value: unknown): string[] {
return Array.isArray(value)
? value.map((item) => String(item)).filter((item) => item.length > 0)
: [];
}
function finiteInteger(value: unknown): number | null {
return Number.isInteger(value) ? (value as number) : null;
}
/** Merge object properties/required keys contributed through JSON Schema allOf. */
export function mergeAdobeObjectSchema(schema: unknown): MergedObjectSchema {
const merged: MergedObjectSchema = { properties: {}, required: [] };
const visit = (value: unknown) => {
const node = asRecord(value);
const properties = asRecord(node.properties);
for (const [key, property] of Object.entries(properties)) {
merged.properties[key] = asRecord(property);
}
merged.required.push(...asStringArray(node.required));
if (Array.isArray(node.allOf)) node.allOf.forEach(visit);
};
visit(schema);
merged.required = [...new Set(merged.required)];
return merged;
}
function schemaBranches(schema: unknown): Record<string, unknown>[] {
const root = asRecord(schema);
if (Object.keys(root).length === 0) return [];
return [
root,
...(Array.isArray(root.anyOf) ? root.anyOf.map(asRecord) : []),
...(Array.isArray(root.oneOf) ? root.oneOf.map(asRecord) : []),
];
}
function enumStrings(schema: unknown): string[] {
return [
...new Set(
schemaBranches(schema)
.flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
.filter((value): value is string => typeof value === "string")
),
];
}
function integerBranch(schema: unknown): Record<string, unknown> {
return schemaBranches(schema).find((branch) => branch.type === "integer") || {};
}
/** Stable, collision-resistant public id for an exact upstream model/version pair. */
/** Stable slug for upstream modelId + modelVersion (catalog id when not a friendly alias). */
export function slugifyAdobeModel(modelId: string, modelVersion: string): string {
const slug = (value: string, allowDot = false) =>
String(value || "")
.trim()
.toLowerCase()
.replace(allowDot ? /[^a-z0-9.]+/g : /[^a-z0-9]+/g, "-")
.replace(/^-|-$/g, "");
const family = slug(modelId);
// Adobe still uses `kling_v3_omni*` internally, while discovery exposes these
// products to users as Kling O3. Never leak the obsolete/internal "omni" name
// into the public API catalog; the untouched upstream version stays in the spec.
const publicVersion =
family === "kling" ? modelVersion.replace(/^kling_v3_omni/i, "kling_o3") : modelVersion;
const version = slug(publicVersion, true);
if (!version || version === "default" || version === family) return family || "model";
return `${family}-${version}`;
const mid = String(modelId || "")
.trim()
.toLowerCase()
.replace(/[^a-z0-9]+/g, "-")
.replace(/^-|-$/g, "");
const ver = String(modelVersion || "")
.trim()
.toLowerCase()
.replace(/[^a-z0-9.]+/g, "-")
.replace(/^-|-$/g, "");
if (!ver || ver === "default" || ver === mid) return mid || "model";
return `${mid}-${ver}`;
}
/** Parse POST /v2/models/discovery without discarding its resolved request schema. */
export function parseAdobeModelsDiscovery(body: unknown): AdobeFireflyDiscoveredModel[] {
const root = asRecord(body);
const families = Array.isArray(root.models) ? root.models : [];
const rows: AdobeFireflyDiscoveredModel[] = [];
for (const familyValue of families) {
const family = asRecord(familyValue);
const modelId = String(family.modelId || "").trim();
if (!modelId) continue;
for (const [modelVersion, versionValue] of Object.entries(asRecord(family.modelVersions))) {
const version = asRecord(versionValue);
if (version.enabled === false) continue;
const outputModalities = asStringArray(version.outputModality).map((item) =>
item.toLowerCase()
);
const modality: AdobeFireflyModality = outputModalities.includes("image")
? "image"
: outputModalities.includes("video")
? "video"
: outputModalities.includes("audio")
? "audio"
: "unknown";
rows.push({
modelId,
modelVersion,
displayName: String(
version.modelDisplayName || version.modelCaiDisplayName || modelVersion
),
modality,
enabled: version.enabled !== false,
providerName:
typeof family.acModelFamilyProviderDisplayName === "string"
? family.acModelFamilyProviderDisplayName
: undefined,
releaseReadiness:
typeof version.releaseReadiness === "string" ? version.releaseReadiness : undefined,
healthStatus: typeof version.healthStatus === "string" ? version.healthStatus : undefined,
inputMediaUseCases: asStringArray(version.inputMediaUseCase),
requestSchema: asRecord(version.requestSchema),
backingModel:
typeof version.bksGenerationModel === "string" ? version.bksGenerationModel : undefined,
});
}
}
return rows;
}
function normalizeCapabilities(row: AdobeFireflyDiscoveredModel): AdobeFireflyMediaCapabilities {
const schema = mergeAdobeObjectSchema(row.requestSchema);
const referenceSchema = asRecord(schema.properties.referenceBlobs);
const referenceInputs: AdobeFireflyReferenceInputCapability[] = [];
const mediaCapabilities = Array.isArray(referenceSchema["x-capabilities"])
? referenceSchema["x-capabilities"]
: [];
for (const mediaValue of mediaCapabilities) {
const media = asRecord(mediaValue);
const maxFileSizeBytes = finiteInteger(media.maxFileSizeBytes);
const usageConstraints = Array.isArray(media.usageConstraints) ? media.usageConstraints : [];
for (const usageValue of usageConstraints) {
const usage = asRecord(usageValue);
if (usage.deprecated === true) continue;
const usageType = String(usage.usageType || "");
const mediaType = String(media.mediaType || "");
if (!usageType || !mediaType) continue;
referenceInputs.push({
mediaType,
usageType,
minItems: finiteInteger(usage.minItems) ?? 0,
maxItems: finiteInteger(usage.maxItems),
maxFileSizeBytes,
});
}
}
const supportedSizes = [
...new Set(
schemaBranches(schema.properties.size)
.flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
.map(asRecord)
.filter((size) => finiteInteger(size.width) !== null && finiteInteger(size.height) !== null)
.map((size) => `${size.width}x${size.height}`)
),
];
const supportedAspectRatios = [
...new Set(
schemaBranches(schema.properties.generationSettings).flatMap((branch) =>
enumStrings(asRecord(asRecord(branch.properties).aspectRatio))
)
),
];
const duration = integerBranch(schema.properties.duration);
const outputCount = integerBranch(schema.properties.n);
const prompt =
schemaBranches(schema.properties.prompt).find((branch) => branch.type === "string") || {};
return {
inputMediaUseCases: [...row.inputMediaUseCases],
schemaProperties: Object.keys(schema.properties),
requiredProperties: [...schema.required],
referenceInputs,
maxReferenceItems: finiteInteger(referenceSchema.maxItems),
supportedSizes,
supportedAspectRatios,
supportedResolutions: enumStrings(schema.properties.resolution),
supportedDurations: [
...new Set(
schemaBranches(schema.properties.duration)
.flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
.filter((value): value is number => Number.isInteger(value))
),
],
durationMin: finiteInteger(duration.minimum),
durationMax: finiteInteger(duration.maximum),
durationDefault: finiteInteger(duration.default),
outputCountMin: finiteInteger(outputCount.minimum),
outputCountMax: finiteInteger(outputCount.maximum),
promptMaxLength: finiteInteger(prompt.maxLength),
releaseReadiness: row.releaseReadiness || "",
healthStatus: row.healthStatus || "",
};
}
function isCallableGenerationModel(row: AdobeFireflyDiscoveredModel): boolean {
if (row.modality !== "image" && row.modality !== "video") return false;
if (!mergeAdobeObjectSchema(row.requestSchema).properties.prompt) return false;
const excluded = new Set(["upscaling", "sharpening", "denoising"]);
return !row.inputMediaUseCases.some((value) => excluded.has(value.toLowerCase()));
}
function deriveInputModalities(capabilities: AdobeFireflyMediaCapabilities): string[] {
return ["text", ...new Set(capabilities.referenceInputs.map((reference) => reference.mediaType))];
}
function semanticCatalogKey(model: AdobeFireflyCatalogModel): string {
return JSON.stringify({
backingModel: model.backingModel,
name: model.name,
modality: model.modality,
capabilities: model.capabilities,
});
}
/** Normalize and de-duplicate callable image/video rows from live discovery. */
/** Map discovery rows → catalog entries (image/video only). */
export function mapDiscoveredToCatalog(
rows: AdobeFireflyDiscoveredModel[]
): AdobeFireflyCatalogModel[] {
const output: AdobeFireflyCatalogModel[] = [];
const out: AdobeFireflyCatalogModel[] = [];
const seen = new Set<string>();
for (const row of rows) {
if (!isCallableGenerationModel(row)) continue;
const capabilities = normalizeCapabilities(row);
const model: AdobeFireflyCatalogModel = {
id: slugifyAdobeModel(row.modelId, row.modelVersion),
name: row.displayName,
modality: row.modality as "image" | "video",
upstreamModelId: row.modelId,
upstreamModelVersion: row.modelVersion,
providerName: row.providerName || "",
backingModel: row.backingModel || "",
inputModalities: deriveInputModalities(capabilities),
capabilities,
};
const key = semanticCatalogKey(model);
if (seen.has(key)) continue;
seen.add(key);
output.push(model);
}
return output;
}
function snapshotCatalog(): AdobeFireflyCatalogModel[] {
return ADOBE_FIREFLY_DISCOVERY_SNAPSHOT.map((model) => {
const capabilities: AdobeFireflyMediaCapabilities = {
inputMediaUseCases: [...model.inputMediaUseCases],
schemaProperties: [...model.schemaProperties],
requiredProperties: [...model.requiredProperties],
referenceInputs: model.referenceInputs.map((reference) => ({ ...reference })),
maxReferenceItems: model.maxReferenceItems,
supportedSizes: [...model.supportedSizes],
supportedAspectRatios: [...model.supportedAspectRatios],
supportedResolutions: [...model.supportedResolutions],
supportedDurations: [...model.supportedDurations],
durationMin: model.durationMin,
durationMax: model.durationMax,
durationDefault: model.durationDefault,
outputCountMin: model.outputCountMin,
outputCountMax: model.outputCountMax,
promptMaxLength: model.promptMaxLength,
releaseReadiness: model.releaseReadiness,
healthStatus: model.healthStatus,
};
return {
id: model.id,
name: model.name,
modality: model.modality,
upstreamModelId: model.upstreamModelId,
upstreamModelVersion: model.upstreamModelVersion,
providerName: model.providerName,
backingModel: model.backingModel,
inputModalities: deriveInputModalities(capabilities),
capabilities,
};
});
}
export const ADOBE_FIREFLY_FALLBACK_MODELS: AdobeFireflyCatalogModel[] = snapshotCatalog();
export function getAdobeFireflyFallbackCatalog(
modality?: "image" | "video"
): AdobeFireflyCatalogModel[] {
return ADOBE_FIREFLY_FALLBACK_MODELS.filter((model) => !modality || model.modality === modality);
}
function imageFamily(model: AdobeFireflyCatalogModel): AdobeFireflyImageModelSpec["family"] {
if (model.upstreamModelId === "gemini-flash") return "gemini";
if (model.upstreamModelId === "gpt-image" || model.upstreamModelId === "gpt-4o-image") {
return "gpt-image";
}
return "generic";
}
export const ADOBE_FIREFLY_IMAGE_MODELS: Record<string, AdobeFireflyImageModelSpec> =
Object.fromEntries(
getAdobeFireflyFallbackCatalog("image").map((model) => [
model.id,
{ ...model, modality: "image" as const, family: imageFamily(model) },
])
);
function defaultDuration(model: AdobeFireflyCatalogModel): number {
const caps = model.capabilities;
return caps.durationDefault ?? caps.supportedDurations[0] ?? caps.durationMin ?? 5;
}
function defaultResolution(model: AdobeFireflyCatalogModel): string {
if (model.capabilities.supportedSizes.some((value) => value.includes("1920x1080"))) {
return "1080p";
}
return "720p";
}
export const ADOBE_FIREFLY_VIDEO_MODELS: Record<string, AdobeFireflyVideoModelSpec> =
Object.fromEntries(
getAdobeFireflyFallbackCatalog("video").map((model) => [
model.id,
{
...model,
modality: "video" as const,
defaultDuration: defaultDuration(model),
defaultResolution: defaultResolution(model),
},
])
);
const LEGACY_MODEL_ALIASES: Record<string, string> = {
"nano-banana": "gemini-flash-nano-banana",
"nano-banana-pro": "gemini-flash-nano-banana-2",
"nano-banana-2": "gemini-flash-nano-banana-3",
"gpt-image": "gpt-image-2",
"gpt-image-2": "gpt-image-2",
"gpt-image-1.5": "gpt-image-1.5",
"flux-2": "flux-2",
"flux-pro": "flux-fluxpro",
"flux-ultra": "flux-fluxultra",
"seedream-4": "seedream-seedream-v4",
"seedream-5-lite": "seedream-seedream-v5-lite",
"runway-gen4-image": "runway-gen4-image",
"veo-3.1": "veo-3.1-generate",
"veo-3.1-fast": "veo-3.1-fast-generate",
"luma-ray3": "luma-3.0-ray",
"runway-gen4-turbo": "runway-gen4-turbo",
// Backward compatibility only; the catalog advertises the exact discovered id.
"kling-3": "kling-kling-v3-standard-i2v",
};
// Preserve established API aliases when (and only when) they resolve to a model
// that is present in the verified discovery snapshot. These keys are not listed.
for (const [alias, target] of Object.entries(LEGACY_MODEL_ALIASES)) {
const imageTarget = ADOBE_FIREFLY_IMAGE_MODELS[target];
if (imageTarget) ADOBE_FIREFLY_IMAGE_MODELS[alias] = imageTarget;
const videoTarget = ADOBE_FIREFLY_VIDEO_MODELS[target];
if (videoTarget) ADOBE_FIREFLY_VIDEO_MODELS[alias] = videoTarget;
}
/** Backward-compatible request ids. Kept out of every advertised model catalog. */
export const ADOBE_FIREFLY_IMAGE_ROUTING_ALIASES = Object.freeze(
Object.entries(LEGACY_MODEL_ALIASES)
.filter(([, target]) => Boolean(ADOBE_FIREFLY_IMAGE_MODELS[target]))
.map(([alias]) => alias)
);
function normalizeRequestedId(model: string): string {
return String(model || "")
.trim()
.toLowerCase()
.replace(/^adobe-firefly\//, "")
.replace(/^firefly\//, "");
}
function resolveCatalogId(model: string): string {
const requested = normalizeRequestedId(model);
return LEGACY_MODEL_ALIASES[requested] || requested;
}
export function resolveAdobeImageModel(model: string): {
id: string;
spec: AdobeFireflyImageModelSpec;
} {
const id = resolveCatalogId(model);
const spec = ADOBE_FIREFLY_IMAGE_MODELS[id];
if (!spec) {
throw new Error(
`Unknown Adobe Firefly image model: ${normalizeRequestedId(model) || "(empty)"}`
// Prefer friendly aliases when upstream matches known fallback rows.
for (const fb of ADOBE_FIREFLY_FALLBACK_MODELS) {
const hit = rows.find(
(r) =>
r.modelId === fb.upstreamModelId &&
r.modelVersion === fb.upstreamModelVersion &&
(r.modality === fb.modality || r.modality === "unknown")
);
if (hit && !seen.has(fb.id)) {
seen.add(fb.id);
out.push({
...fb,
name: hit.displayName || fb.name,
});
}
}
return { id, spec };
}
export function resolveAdobeVideoModel(model: string): {
id: string;
spec: AdobeFireflyVideoModelSpec;
} {
const id = resolveCatalogId(model);
const spec = ADOBE_FIREFLY_VIDEO_MODELS[id];
if (!spec) {
throw new Error(
`Unknown Adobe Firefly video model: ${normalizeRequestedId(model) || "(empty)"}`
);
for (const r of rows) {
if (r.modality !== "image" && r.modality !== "video") continue;
const id = slugifyAdobeModel(r.modelId, r.modelVersion);
if (seen.has(id)) continue;
// Skip if already covered by a friendly alias with same upstream
if (
out.some(
(o) =>
o.upstreamModelId === r.modelId && o.upstreamModelVersion === r.modelVersion
)
) {
continue;
}
seen.add(id);
out.push({
id,
name: r.displayName || id,
modality: r.modality,
upstreamModelId: r.modelId,
upstreamModelVersion: r.modelVersion,
inputModalities: r.modality === "image" ? ["text", "image"] : ["text"],
});
}
return { id, spec };
return out;
}
export function toRegistryImageModels(): Array<{
id: string;
name: string;
inputModalities: string[];
imageRequired?: boolean;
supportedSizes: string[];
mediaCapabilities: Record<string, unknown>;
}> {
const generated = getAdobeFireflyFallbackCatalog("image").map((model) => ({
id: model.id,
name: `Firefly ${model.name}`,
inputModalities: model.inputModalities,
supportedSizes: model.capabilities.supportedSizes,
mediaCapabilities: toAdobeMediaCapabilitiesApi(model),
}));
// Upscaling uses a distinct Firefly endpoint and is not returned by the image
// generation discovery schema. Keep its two supported Topaz models visible in
// the same provider catalog so image clients can select them deliberately.
return [
...generated,
{
id: "topaz-standard",
name: "Firefly Topaz Upscale (Standard)",
inputModalities: ["image"],
imageRequired: true,
supportedSizes: [],
mediaCapabilities: { input_media_use_cases: ["upscaling"] },
},
{
id: "topaz-bloom",
name: "Firefly Topaz Bloom (Creative Upscale)",
inputModalities: ["image"],
imageRequired: true,
supportedSizes: [],
mediaCapabilities: { input_media_use_cases: ["upscaling"] },
},
];
export function getAdobeFireflyFallbackCatalog(modality?: "image" | "video"): AdobeFireflyCatalogModel[] {
if (!modality) return [...ADOBE_FIREFLY_FALLBACK_MODELS];
return ADOBE_FIREFLY_FALLBACK_MODELS.filter((m) => m.modality === modality);
}
export function toRegistryVideoModels(): Array<{
id: string;
name: string;
supportedSizes: string[];
mediaCapabilities: Record<string, unknown>;
}> {
return getAdobeFireflyFallbackCatalog("video").map((model) => ({
id: model.id,
name: `Firefly ${model.name}`,
supportedSizes: model.capabilities.supportedSizes,
mediaCapabilities: toAdobeMediaCapabilitiesApi(model),
}));
}
/**
* Live discovery when credentials resolve; otherwise static fallback from get_models capture.
*/
export async function resolveAdobeFireflyCatalog(opts: {
credentials?: {
apiKey?: string;
accessToken?: string;
providerSpecificData?: Record<string, unknown> | null;
} | null;
modality?: "image" | "video";
fetchImpl?: typeof fetch;
}): Promise<{ models: AdobeFireflyCatalogModel[]; source: "api" | "fallback" }> {
const fetchImpl = opts.fetchImpl || fetch;
try {
if (opts.credentials) {
const token = await resolveAdobeAccessToken(opts.credentials, fetchImpl);
const discovered = await discoverAdobeFireflyModels(token, fetchImpl);
let catalog = mapDiscoveredToCatalog(discovered);
if (opts.modality) catalog = catalog.filter((m) => m.modality === opts.modality);
if (catalog.length > 0) return { models: catalog, source: "api" };
}
} catch {
// fall through to static catalog
}
/** JSON-safe extension emitted by /v1/models. */
export function toAdobeMediaCapabilitiesApi(
model: AdobeFireflyCatalogModel
): Record<string, unknown> {
const caps = model.capabilities;
return {
upstream_model_id: model.upstreamModelId,
upstream_model_version: model.upstreamModelVersion,
provider_name: model.providerName,
release_readiness: caps.releaseReadiness,
health_status: caps.healthStatus,
input_media_use_cases: caps.inputMediaUseCases,
reference_inputs: caps.referenceInputs.map((reference) => ({
media_type: reference.mediaType,
usage_type: reference.usageType,
min_items: reference.minItems,
max_items: reference.maxItems,
max_file_size_bytes: reference.maxFileSizeBytes,
})),
max_reference_items: caps.maxReferenceItems,
supported_sizes: caps.supportedSizes,
supported_aspect_ratios: caps.supportedAspectRatios,
supported_resolutions: caps.supportedResolutions,
supported_durations: caps.supportedDurations,
duration_min: caps.durationMin,
duration_max: caps.durationMax,
duration_default: caps.durationDefault,
output_count_min: caps.outputCountMin,
output_count_max: caps.outputCountMax,
prompt_max_length: caps.promptMaxLength,
models: getAdobeFireflyFallbackCatalog(opts.modality),
source: "fallback",
};
}
export function getAdobeReferenceUploadLimit(
model: AdobeFireflyCatalogModel,
mediaType: string
): number {
if (model.capabilities.maxReferenceItems !== null) {
return Math.max(1, Math.min(32, model.capabilities.maxReferenceItems));
}
const declaredTotal = model.capabilities.referenceInputs
.filter((reference) => reference.mediaType === mediaType)
.reduce((total, reference) => total + (reference.maxItems ?? 0), 0);
return Math.max(1, Math.min(32, declaredTotal || 1));
/** Registry-shaped models for imageRegistry / videoRegistry. */
export function toRegistryImageModels(
models: AdobeFireflyCatalogModel[] = getAdobeFireflyFallbackCatalog("image")
): Array<{ id: string; name: string; inputModalities?: string[] }> {
return models
.filter((m) => m.modality === "image")
.map((m) => ({
id: m.id,
name: m.name.startsWith("Firefly ") ? m.name : `Firefly ${m.name}`,
inputModalities: m.inputModalities || ["text", "image"],
}));
}
export function toRegistryVideoModels(
models: AdobeFireflyCatalogModel[] = getAdobeFireflyFallbackCatalog("video")
): Array<{ id: string; name: string }> {
return models
.filter((m) => m.modality === "video")
.map((m) => ({
id: m.id,
name: m.name.startsWith("Firefly ") ? m.name : `Firefly ${m.name}`,
}));
}

View File

@@ -190,26 +190,10 @@ function isRecord(value: unknown): value is Record<string, unknown> {
return !!value && typeof value === "object" && !Array.isArray(value);
}
/**
* Whether an `error` field carries a real failure signal. A key-presence check
* (`!= null`) false-positives on benign values some backends emit on every
* chunk (`{}`, `""`, `false`, `0`) — e.g. tool-call turns where a chunk with
* real tool_calls content also carries `"error": {}`. Only substantive values
* are treated as upstream failures.
*/
function isSubstantiveError(value: unknown): boolean {
if (value === null || value === undefined) return false;
if (typeof value === "string") return value.trim().length > 0;
if (typeof value === "object" && !Array.isArray(value)) {
return Object.keys(value as Record<string, unknown>).length > 0;
}
return value === true;
}
function isStreamingUpstreamError(parsed: unknown, eventType: string): boolean {
if (eventType === "response.failed" || eventType === "error") return true;
if (!isRecord(parsed)) return false;
if (isSubstantiveError(parsed.error)) return true;
if (parsed.error != null) return true;
const nestedResponse = isRecord(parsed.response) ? parsed.response : null;
return nestedResponse?.status === "failed" && nestedResponse.error != null;

View File

@@ -34,11 +34,8 @@
"scripts/dev/tls-options.mjs",
"scripts/check/check-supported-node-runtime.ts",
"scripts/dev/sync-env.mjs",
"scripts/build/assembleStandalone.mjs",
"scripts/build/backendOnlyPages.mjs",
"scripts/build/build-next-isolated.mjs",
"scripts/build/build-tproxy-native.mjs",
"scripts/build/native-binary-compat.mjs",
"scripts/build/build-next-isolated.mjs",
"scripts/build/runtime-env.mjs",
"README.md",
"LICENSE",

View File

@@ -89,15 +89,6 @@ const NATIVE_ASSET_ENTRIES = [
src: ["node_modules", "better-sqlite3", "build"],
dest: ["node_modules", "better-sqlite3", "build"],
},
{
// #8847: Bun (and npx -g global installs) resolve better-sqlite3's native
// binary from prebuilds/ instead of build/Release/, so the compiled build/
// copy alone leaves a hollow package that falls back to sql.js (OOM under
// Bun). Ship the prebuilds alongside the compiled binary.
label: "better-sqlite3 prebuilds (Bun / global installs)",
src: ["node_modules", "better-sqlite3", "prebuilds"],
dest: ["node_modules", "better-sqlite3", "prebuilds"],
},
{
// TPROXY IP_TRANSPARENT addon (Fase 3 / Epic A). Built by build-tproxy-native
// before assembly; Linux-only + opt-in, so the source is absent on non-Linux

View File

@@ -121,9 +121,6 @@ export const PACK_ARTIFACT_ROOT_ALLOWED_EXACT_PATHS: string[] = [
// shipped via package.json "files", so it must be allowed in the tarball.
"open-sse/utils/setupPolyfill.ts",
"package.json",
"scripts/build/assembleStandalone.mjs",
"scripts/build/backendOnlyPages.mjs",
"scripts/build/build-tproxy-native.mjs",
"scripts/build/build-next-isolated.mjs",
"scripts/check/check-supported-node-runtime.ts",
"scripts/build/native-binary-compat.mjs",

View File

@@ -1,207 +0,0 @@
#!/usr/bin/env node
import fs from "node:fs";
import path from "node:path";
import { createHash } from "node:crypto";
function usage() {
console.error(
"Usage: node scripts/dev/generate-adobe-firefly-snapshot.mjs <discovery.json> <output.ts>"
);
process.exit(2);
}
const [, , inputArg, outputArg] = process.argv;
if (!inputArg || !outputArg) usage();
const inputPath = path.resolve(inputArg);
const outputPath = path.resolve(outputArg);
const inputBytes = fs.readFileSync(inputPath);
const sourceHash = createHash("sha256").update(inputBytes).digest("hex");
const root = JSON.parse(inputBytes.toString("utf8"));
function mergeObjectSchema(schema) {
const merged = { properties: {}, required: [] };
const visit = (node) => {
if (!node || typeof node !== "object") return;
if (node.properties && typeof node.properties === "object") {
Object.assign(merged.properties, node.properties);
}
if (Array.isArray(node.required)) merged.required.push(...node.required);
if (Array.isArray(node.allOf)) node.allOf.forEach(visit);
};
visit(schema);
merged.required = [...new Set(merged.required)];
return merged;
}
function branches(schema) {
if (!schema || typeof schema !== "object") return [];
return [schema, ...(schema.anyOf || []), ...(schema.oneOf || [])];
}
function stringEnums(schema) {
return [
...new Set(
branches(schema)
.flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
.filter((value) => typeof value === "string")
),
];
}
function integerSchema(schema) {
return branches(schema).find((branch) => branch.type === "integer") || {};
}
function publicModelId(modelId, modelVersion) {
const slug = (value, allowDot = false) =>
String(value || "")
.trim()
.toLowerCase()
.replace(allowDot ? /[^a-z0-9.]+/g : /[^a-z0-9]+/g, "-")
.replace(/^-|-$/g, "");
const family = slug(modelId);
const publicVersion =
family === "kling" ? String(modelVersion).replace(/^kling_v3_omni/i, "kling_o3") : modelVersion;
const version = slug(publicVersion, true);
if (!version || version === "default" || version === family) return family || "model";
return `${family}-${version}`;
}
function normalizeModel(family, modelVersion, version) {
const schema = mergeObjectSchema(version.requestSchema);
const properties = schema.properties;
const referenceSchema = properties.referenceBlobs || {};
const referenceInputs = [];
for (const media of referenceSchema["x-capabilities"] || []) {
for (const usage of media.usageConstraints || []) {
if (usage.deprecated === true) continue;
referenceInputs.push({
mediaType: String(media.mediaType || ""),
usageType: String(usage.usageType || ""),
minItems: Number.isInteger(usage.minItems) ? usage.minItems : 0,
maxItems: Number.isInteger(usage.maxItems) ? usage.maxItems : null,
maxFileSizeBytes: Number.isInteger(media.maxFileSizeBytes) ? media.maxFileSizeBytes : null,
});
}
}
const supportedSizes = [
...new Set(
branches(properties.size)
.flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
.filter(
(size) =>
size &&
Number.isInteger(size.width) &&
size.width > 0 &&
Number.isInteger(size.height) &&
size.height > 0
)
.map((size) => `${size.width}x${size.height}`)
),
];
const supportedAspectRatios = [
...new Set(
branches(properties.generationSettings).flatMap((branch) =>
stringEnums(branch?.properties?.aspectRatio)
)
),
];
const duration = integerSchema(properties.duration);
const supportedDurations = [
...new Set(
branches(properties.duration)
.flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
.filter(Number.isInteger)
),
];
const prompt = branches(properties.prompt).find((branch) => branch.type === "string") || {};
const outputCount = integerSchema(properties.n);
return {
id: publicModelId(family.modelId, modelVersion),
name: String(version.modelDisplayName || version.modelCaiDisplayName || modelVersion),
modality: version.outputModality[0],
upstreamModelId: family.modelId,
upstreamModelVersion: modelVersion,
providerName: String(family.acModelFamilyProviderDisplayName || ""),
releaseReadiness: String(version.releaseReadiness || ""),
healthStatus: String(version.healthStatus || ""),
inputMediaUseCases: (version.inputMediaUseCase || []).map(String),
schemaProperties: Object.keys(properties),
requiredProperties: schema.required,
referenceInputs,
maxReferenceItems: Number.isInteger(referenceSchema.maxItems) ? referenceSchema.maxItems : null,
supportedSizes,
supportedAspectRatios,
supportedResolutions: stringEnums(properties.resolution),
supportedDurations,
durationMin: Number.isInteger(duration.minimum) ? duration.minimum : null,
durationMax: Number.isInteger(duration.maximum) ? duration.maximum : null,
durationDefault: Number.isInteger(duration.default) ? duration.default : null,
outputCountMin: Number.isInteger(outputCount.minimum) ? outputCount.minimum : null,
outputCountMax: Number.isInteger(outputCount.maximum) ? outputCount.maximum : null,
promptMaxLength: Number.isInteger(prompt.maxLength) ? prompt.maxLength : null,
backingModel: String(version.bksGenerationModel || ""),
};
}
const rawModels = [];
for (const family of Array.isArray(root.models) ? root.models : []) {
for (const [modelVersion, version] of Object.entries(family.modelVersions || {})) {
if (!version || version.enabled === false) continue;
const modality = Array.isArray(version.outputModality)
? version.outputModality.map((value) => String(value).toLowerCase())[0]
: "";
if (modality !== "image" && modality !== "video") continue;
const schema = mergeObjectSchema(version.requestSchema);
if (!schema.properties.prompt) continue;
const useCases = (version.inputMediaUseCase || []).map((value) => String(value).toLowerCase());
if (useCases.some((value) => ["upscaling", "sharpening", "denoising"].includes(value))) {
continue;
}
rawModels.push(normalizeModel(family, modelVersion, version));
}
}
// Discovery currently repeats a few exact aliases (for example flux/fluxPro and
// fluxPro/1.1). Keep the first canonical wire pair and suppress duplicate cards.
const seen = new Set();
const models = [];
for (const model of rawModels) {
const semanticKey = JSON.stringify({
backingModel: model.backingModel,
name: model.name,
modality: model.modality,
schemaProperties: model.schemaProperties,
requiredProperties: model.requiredProperties,
referenceInputs: model.referenceInputs,
maxReferenceItems: model.maxReferenceItems,
supportedSizes: model.supportedSizes,
supportedAspectRatios: model.supportedAspectRatios,
supportedResolutions: model.supportedResolutions,
supportedDurations: model.supportedDurations,
durationMin: model.durationMin,
durationMax: model.durationMax,
});
if (seen.has(semanticKey)) continue;
seen.add(semanticKey);
models.push(model);
}
const source = `/**
* Generated from Adobe Firefly POST /v2/models/discovery with resolveSchema=true.
* Source SHA-256: ${sourceHash}
* Regenerate with scripts/dev/generate-adobe-firefly-snapshot.mjs; do not edit by hand.
* The generated literal stays compact to satisfy the repository's line-count gate.
*/
// prettier-ignore
export const ADOBE_FIREFLY_DISCOVERY_SNAPSHOT = ${JSON.stringify(models)} as const;
`;
fs.mkdirSync(path.dirname(outputPath), { recursive: true });
fs.writeFileSync(outputPath, source, "utf8");
console.log(`Wrote ${models.length} models to ${outputPath}`);

View File

@@ -609,6 +609,14 @@ async function main() {
args: ["run", "check:pack-artifact"],
timeout: 20 * 60 * 1000,
});
// WS1.2 (#7065 class): boot the REAL packed tarball from a clean install —
// the runtime gate structure checks cannot provide. Reuses the same dist/ build.
slow.push({
id: "pack-boot",
label: "Tarball boot-smoke (installed CLI serves /health)",
args: ["run", "check:pack-boot"],
timeout: 15 * 60 * 1000,
});
}
slow.forEach((g) => announce(`${g.label} [parallel]`));
const slowResults = await Promise.all(
@@ -625,41 +633,6 @@ async function main() {
detail: code === 0 ? "pass" : firstFailureLine(out),
});
});
if (WITH_BUILD) {
// WS1.2 (#7065 class): boot the REAL packed tarball from a clean install.
// check:pack-artifact is the builder for dist/ when staging is absent, so the
// boot smoke MUST run after it completes. Running both in the parallel wave
// races check:pack-boot against dist/server.js creation on clean worktrees.
const packArtifactIndex = slow.findIndex((g) => g.id === "pack-artifact");
const packArtifactResult = slowResults[packArtifactIndex];
const bootLabel = "Tarball boot-smoke (installed CLI serves /health)";
if (!packArtifactResult || packArtifactResult.code !== 0) {
const out = "skipped because package-artifact did not produce a valid dist/ build";
saveGateLog("pack-boot", out);
record({
id: "pack-boot",
label: bootLabel,
kind: "hard",
ok: false,
detail: out,
});
} else {
announce(bootLabel);
const { code, out } = await runAsync(npmCmd, ["run", "check:pack-boot"], {
timeout: 15 * 60 * 1000,
});
saveGateLog("pack-boot", out);
record({
id: "pack-boot",
label: bootLabel,
kind: "hard",
ok: code === 0,
detail: code === 0 ? "pass" : firstFailureLine(out),
});
}
}
} else if (WITH_BUILD) {
// --with-build without the suites (--quick): still verify the package artifact.
const { code, out } = await runAsync(npmCmd, ["run", "check:pack-artifact"], {

View File

@@ -1,73 +0,0 @@
import {
discoverAdobeFireflyModels,
resolveAdobeAccessToken,
} from "@omniroute/open-sse/services/adobeFireflyClient.ts";
import {
getAdobeFireflyFallbackCatalog,
mapDiscoveredToCatalog,
toAdobeMediaCapabilitiesApi,
type AdobeFireflyCatalogModel,
} from "@omniroute/open-sse/services/adobeFireflyModels.ts";
import { sanitizeErrorMessage } from "@omniroute/open-sse/utils/error";
type AdobeProviderData = { cookie?: unknown; access_token?: unknown; accessToken?: unknown };
interface AdobeProviderModelsResult {
models: Array<Record<string, unknown>>;
source: "api" | "local_catalog";
warning?: string;
}
function toModelResponse(model: AdobeFireflyCatalogModel): Record<string, unknown> {
const endpoint = model.modality === "image" ? "images" : "videos";
return {
id: model.id,
name: model.name,
owned_by: "adobe-firefly",
apiFormat: endpoint,
supportedEndpoints: [endpoint],
type: model.modality,
input_modalities: model.inputModalities,
output_modalities: [model.modality],
supported_sizes: model.capabilities.supportedSizes,
media_capabilities: toAdobeMediaCapabilitiesApi(model),
};
}
function fallback(warning: string): AdobeProviderModelsResult {
return {
models: getAdobeFireflyFallbackCatalog().map(toModelResponse),
source: "local_catalog",
warning,
};
}
export async function getAdobeModels(
apiKey: string | undefined,
accessToken: string | undefined,
providerData: unknown,
fetchImpl: typeof fetch = fetch
): Promise<AdobeProviderModelsResult> {
const providerSpecificData =
providerData && typeof providerData === "object" ? (providerData as AdobeProviderData) : {};
try {
const token = await resolveAdobeAccessToken(
{
apiKey,
accessToken,
providerSpecificData,
},
fetchImpl
);
const models = mapDiscoveredToCatalog(await discoverAdobeFireflyModels(token, fetchImpl));
return models.length > 0
? { models: models.map(toModelResponse), source: "api" }
: fallback("Adobe Firefly discovery returned no callable image or video models");
} catch (error) {
return fallback(
`Adobe Firefly discovery unavailable: ${sanitizeErrorMessage(
error instanceof Error ? error.message : String(error)
)}`
);
}
}

View File

@@ -84,8 +84,10 @@ import {
isAutoFetchModelsEnabled,
persistDiscoveredModels,
} from "@/lib/providerModels/modelDiscovery";
import { buildProviderModelsUrl, getDiscoveryClientVersionOptions } from "./discoveryClientVersion";
import { getAdobeModels } from "./adobeFireflyDiscovery";
import {
buildProviderModelsUrl,
getDiscoveryClientVersionOptions,
} from "./discoveryClientVersion";
import {
parseGeminiModelsList,
type GeminiDiscoveryModel,
@@ -420,7 +422,10 @@ export async function GET(
// #6267 — a models-endpoint redirect (307/308) is not a fixable-config
// error. safeOutboundFetch throws REDIRECT_BLOCKED which
// getSafeOutboundFetchErrorStatus maps to 503, but unlike the other 503
// Redirect blocks degrade to the local/cached catalog; invalid URLs remain hard errors.
// cases (URL_GUARD_BLOCKED / INVALID_URL, which are genuinely
// unrecoverable and stay hard errors) a blocked redirect should degrade to
// the local/cached catalog OmniRoute ships instead of surfacing a raw 503.
// General fix — covers any config-driven provider that 307s (e.g. qwen-web).
if (error instanceof SafeOutboundFetchError && error.code === "REDIRECT_BLOCKED") {
return buildDiscoveryFallbackResponse(warnings);
}
@@ -429,11 +434,6 @@ export async function GET(
return buildDiscoveryFallbackResponse(warnings);
};
if (provider === "adobe-firefly") {
const discovery = await getAdobeModels(apiKey, accessToken, connection.providerSpecificData);
return buildResponse({ provider, connectionId, ...discovery });
}
const maybeReturnCachedDiscovery = () => {
if (!refresh && cachedDiscoveryModels.length > 0) {
return buildCachedDiscoveryResponse();

View File

@@ -701,17 +701,6 @@ export async function testSingleConnection(connectionId: string, validationModel
? makeDiagnosis("ok", "local", null, null)
: classifyFailure({ error: result.error, statusCode: result.statusCode, provider }));
// #9623: a failed connection test must not paint the connection permanently red.
// Previously a non-terminal failure wrote `testStatus: "error"` with
// `rateLimitedUntil: null` — since the cooldown filter only ever skips entries
// whose rateLimitedUntil is in the future, a null cooldown left the connection
// permanently unavailable after a transient outage. Give non-terminal test
// failures a short cooldown so the lazy-recovery path retries them.
const terminalTestStatuses = new Set(["banned", "expired", "credits_exhausted"]);
const isTerminalFailure =
!result.valid && terminalTestStatuses.has(String(diagnosis.code ?? diagnosis.type ?? "").toLowerCase());
const testFailureCooldownMs = result.valid ? 0 : 30_000; // 30s retry window
const updateData: Record<string, any> = {
testStatus: result.valid ? "active" : "error",
lastError: result.valid ? null : result.error,
@@ -720,12 +709,7 @@ export async function testSingleConnection(connectionId: string, validationModel
lastErrorType: result.valid ? null : diagnosis.type,
lastErrorSource: result.valid ? null : diagnosis.source,
errorCode: result.valid ? null : diagnosis.code || result.statusCode || null,
rateLimitedUntil:
result.valid || isTerminalFailure
? result.valid
? null
: connection.rateLimitedUntil || null
: new Date(Date.now() + testFailureCooldownMs).toISOString(),
rateLimitedUntil: result.valid ? null : connection.rateLimitedUntil || null,
};
if (result.valid) {

View File

@@ -1113,7 +1113,6 @@ async function buildUnifiedModelsResponseCore(
input_modalities: imgModel.inputModalities || ["text"],
output_modalities: ["image"],
...(imgModel.description ? { description: imgModel.description } : {}),
...(imgModel.mediaCapabilities ? { media_capabilities: imgModel.mediaCapabilities } : {}),
});
}
@@ -1179,12 +1178,6 @@ async function buildUnifiedModelsResponseCore(
created: timestamp,
owned_by: videoModel.provider,
type: "video",
supported_sizes: videoModel.supportedSizes,
input_modalities: ["text"],
output_modalities: ["video"],
...(videoModel.mediaCapabilities
? { media_capabilities: videoModel.mediaCapabilities }
: {}),
});
}

View File

@@ -10191,8 +10191,6 @@
"copied": "Copied!",
"run": "Run",
"running": "Running...",
"loading": "Loading...",
"retry": "Retry",
"response": "Response",
"tunnel": "Tunnel",
"send": "Send",

View File

@@ -10191,8 +10191,6 @@
"copied": "Copiado!",
"run": "Executar",
"running": "Executando...",
"loading": "Carregando...",
"retry": "Tentar novamente",
"response": "Resposta",
"tunnel": "Tunnel",
"send": "Enviar",

View File

@@ -10191,8 +10191,6 @@
"copied": "Đã sao chép!",
"run": "Chạy",
"running": "Đang chạy...",
"loading": "Đang tải...",
"retry": "Thử lại",
"response": "Phản hồi",
"tunnel": "Đường hầm",
"send": "Gửi",

View File

@@ -306,7 +306,6 @@ export async function registerNodejs(): Promise<void> {
{ applyRuntimeSettings },
{ startRuntimeConfigHotReload },
{ startSpendBatchWriter },
{ startCleanupScheduler },
{ registerDefaultGuardrails },
{ ensurePersistentManagementPasswordHash },
{ skillExecutor },
@@ -321,7 +320,6 @@ export async function registerNodejs(): Promise<void> {
import("@/lib/config/runtimeSettings"),
import("@/lib/config/hotReload"),
import("@/lib/spend/batchWriter"),
import("@/lib/db/cleanup"),
import("@/lib/guardrails"),
import("@/lib/auth/managementPassword"),
import("@/lib/skills/executor"),
@@ -491,17 +489,6 @@ export async function registerNodejs(): Promise<void> {
console.warn("[STARTUP] Could not initialize vacuum scheduler (non-fatal):", msg);
}
// Retention cleanup scheduler (#4691/#6988, #9624): runs the general retention
// cleanup once after startup and then every 6 hours. Previously this was only
// wired into the unused src/server-init.ts, so telemetry tables grew unboundedly
// even with retention.autoCleanupEnabled=true. Idempotent (guarded internally).
try {
startCleanupScheduler();
} catch (err: unknown) {
const msg = err instanceof Error ? err.message : String(err);
console.warn("[STARTUP] Could not start cleanup scheduler (non-fatal):", msg);
}
// Warm the model catalog's durable, apiKey-independent sub-caches at
// startup — see warmModelCatalogCache() for why the top-level Response
// cache alone doesn't deliver this. Fire-and-forget, non-fatal.

View File

@@ -20,7 +20,6 @@ import {
} from "@omniroute/open-sse/handlers/chatCore/ccDiscoveryAliasStrip.ts";
import { getModelsByProviderId } from "@omniroute/open-sse/config/providerModels.ts";
import { getRegistryEntry } from "@omniroute/open-sse/config/providerRegistry.ts";
import { getProviderById, getProviderByAlias } from "@/shared/constants/providers";
import { getCachedProviderNodes } from "@/lib/db/readCache";
import { getComboByName } from "@/lib/db/combos";
import {
@@ -137,22 +136,6 @@ export async function resolveCcDiscoveryAliasStripWith(
});
}
/**
* True when `prefix` names a provider the router can actually reach.
*
* Deliberately broader than the `open-sse` REGISTRY alone: enterprise-cloud
* providers such as `azure-ai` / `azure-openai` live only in the provider
* CATALOG (src/shared/constants/providers/…) yet route fine, so a registry-only
* check made the request path reject `claude/azure-ai/<model>` ids that the
* catalog had already advertised — see cc-discovery-alias-routable-prefix.test.ts.
*/
export function isRoutableProviderPrefix(prefix: string): boolean {
if (!prefix) return false;
if (getRegistryEntry(prefix) !== null) return true;
if (getProviderById(prefix) !== undefined) return true;
return getProviderByAlias(prefix) !== null;
}
/**
* Production entry point: build the real lookups and resolve. Cheap-exit for any
* id that does not start with `claude/` (the overwhelmingly common case) so a
@@ -186,7 +169,7 @@ export async function resolveCcDiscoveryAliasStrip(
const result = await resolveCcDiscoveryAliasStripWith(modelStr, {
claudeModelIds,
isRegistryProvider: (prefix) => isRoutableProviderPrefix(prefix),
isRegistryProvider: (prefix) => getRegistryEntry(prefix) !== null,
customProviderPrefixes,
getCombo: (name) => getComboByName(name),
gateGlobal: () => globalEnabled,

View File

@@ -253,15 +253,14 @@ export async function cleanupMemoryEntries(): Promise<CleanupResult> {
/**
* Clean up old domain_cost_history based on retention settings. (#6848)
* The `timestamp` column stores epoch milliseconds (saveCostEntry default
* is Date.now()), so the cutoff must be in milliseconds to match. (#9625)
* Uses unix-epoch `timestamp` column (INTEGER).
*/
export async function cleanupDomainCostHistory(): Promise<CleanupResult> {
const db = getDbInstance();
const retention = getRetentionSettings();
const retentionDays = retention.domainCostHistory;
const cutoffEpoch = Date.now() - retentionDays * 86_400_000;
const cutoffEpoch = Math.floor(Date.now() / 1000) - retentionDays * 86_400;
const result: CleanupResult = { deleted: 0, errors: 0 };

View File

@@ -17,6 +17,12 @@ import { getDbInstance } from "./core";
const quotaComboMaintenance = new Map<string, Promise<unknown>>();
const deletingPools = new Set<string>();
/** Reset module-level state for test isolation. Call in test.after() hooks. */
export function resetQuotaPoolsModuleState(): void {
deletingPools.clear();
quotaComboMaintenance.clear();
}
function serializeQuotaComboMaintenance<T>(
poolId: string,
operation: () => Promise<T>

View File

@@ -64,9 +64,7 @@
"tests/unit/anthropic-thinking-signature-recovery.test.ts",
"tests/unit/antigravity-429-quota-tdd.test.ts",
"tests/unit/antigravity-prefer-stored-project.test.ts",
"tests/unit/api-key-policy-noauth-allowed-connections.test.ts",
"tests/unit/api-key-rotator-health.test.ts",
"tests/unit/api-key-policy-noauth-allowed-connections.test.ts",
"tests/unit/appearance-widget-settings-schema.test.ts",
"tests/unit/auth-antigravity-account-retry-v2.test.ts",
"tests/unit/auth-clear-account-error.test.ts",
@@ -215,9 +213,7 @@
"tests/unit/executor-web-cookie-sweep.test.ts",
"tests/unit/format-provider-error-cause.test.ts",
"tests/unit/forwarded-header-budget.test.ts",
"tests/unit/gemini-web-capabilities-9356.test.ts",
"tests/unit/gemini-web-missing-browser-3516.test.ts",
"tests/unit/gemini-web-capabilities-9356.test.ts",
"tests/unit/grok-cli-oauth.test.ts",
"tests/unit/guardrails-api-3496.test.ts",
"tests/unit/headroom-codex-quota-snapshot-6379.test.ts",
@@ -277,9 +273,7 @@
"tests/unit/rate-limit-manager.test.ts",
"tests/unit/rate-limit-queue-timeout-lockout.test.ts",
"tests/unit/repro-7503-no-choices.test.ts",
"tests/unit/repro-9486.test.ts",
"tests/unit/repro-9630-combo-false-503.test.ts",
"tests/unit/repro-9486.test.ts",
"tests/unit/repro-antigravity-404-family-cooldown-hijack.test.ts",
"tests/unit/responses-handler.test.ts",
"tests/unit/rotation-config-omniroute.test.ts",

View File

@@ -1,90 +0,0 @@
import { test } from "node:test";
import assert from "node:assert";
import {
ADOBE_FIREFLY_VIDEO_MODELS,
extractAdobeSourceImageReferences,
normalizeAdobeReferenceBlobs,
} from "../../open-sse/services/adobeFireflyClient.ts";
import { getAdobeModels } from "../../src/app/api/providers/[id]/models/adobeFireflyDiscovery.ts";
function userImsJwt(): string {
const payload = Buffer.from(
JSON.stringify({
user_id: "test@AdobeID",
type: "access_token",
client_id: "clio-playground-web",
})
).toString("base64url");
return `eyJhbGciOiJSUzI1NiJ9.${payload}.${"sig".padEnd(40, "x")}`;
}
test("reference validation enforces discovered roles, counts, and frame order", () => {
const kling = ADOBE_FIREFLY_VIDEO_MODELS["kling-3"];
assert.deepEqual(
normalizeAdobeReferenceBlobs(kling, [
{ id: "frame-a", mediaType: "image", usage: "frame" },
{ id: "frame-b", mediaType: "image", usage: "frame" },
]),
[
{ id: "frame-a", usage: "frame", order: 1 },
{ id: "frame-b", usage: "frame", order: 2 },
]
);
assert.throws(
() => normalizeAdobeReferenceBlobs(kling, [{ id: "bad", mediaType: "image", usage: "mask" }]),
/does not support image references with usage 'mask'/
);
assert.throws(
() =>
normalizeAdobeReferenceBlobs(kling, [
{ id: "frame-a", usage: "frame" },
{ id: "frame-b", usage: "frame" },
{ id: "frame-c", usage: "frame" },
]),
/at most 2 frame image reference/
);
});
test("structured references skip malformed entries and preserve explicit roles", () => {
assert.deepEqual(
extractAdobeSourceImageReferences({
adobe_reference_inputs: [
null,
{ media_type: "video", source: "ignored" },
{ media_type: "image", source: "data:image/png;base64,AAAA", usage: "frame", order: 2 },
],
}),
[{ source: "data:image/png;base64,AAAA", usage: "frame", order: 2 }]
);
});
test("provider discovery adapter returns live capabilities and verified fallback", async () => {
const live = await getAdobeModels(undefined, userImsJwt(), {}, async () =>
Response.json({
models: [
{
modelId: "firefly-image",
acModelFamilyProviderDisplayName: "Adobe",
modelVersions: {
image5: {
enabled: true,
outputModality: ["image"],
modelDisplayName: "Firefly Image 5",
requestSchema: { type: "object", properties: { prompt: { type: "string" } } },
},
},
},
],
})
);
assert.equal(live.source, "api");
assert.equal(live.models[0].id, "firefly-image-image5");
assert.ok(live.models[0].media_capabilities);
const fallback = await getAdobeModels(undefined, userImsJwt(), {}, async () => {
throw new Error("offline");
});
assert.equal(fallback.source, "local_catalog");
assert.equal(fallback.models.length, 52);
assert.match(fallback.warning || "", /discovery unavailable/);
});

View File

@@ -78,11 +78,6 @@ test("adobe-firefly is registered in IMAGE_PROVIDERS with adobe-firefly-image fo
assert.equal(entry.format, "adobe-firefly-image");
assert.match(entry.baseUrl, /firefly-3p\.ff\.adobe\.io/);
assert.ok(Array.isArray(entry.models) && entry.models.length >= 4);
assert.equal(
entry.models.some((model: { id: string }) => model.id === "nano-banana-pro"),
false,
"routing-only compatibility aliases must not be advertised as discovered models"
);
});
test("adobe-firefly is registered in VIDEO_PROVIDERS with adobe-firefly-video format", () => {
@@ -159,25 +154,20 @@ test("normalizeAdobeOutputResolution maps quality tiers", () => {
assert.equal(normalizeAdobeOutputResolution(undefined, undefined), "2K");
});
test("resolveAdobeImageModel maps valid aliases to exact discovery ids", () => {
assert.equal(resolveAdobeImageModel("nano-banana-pro").id, "gemini-flash-nano-banana-2");
assert.equal(
resolveAdobeImageModel("adobe-firefly/nano-banana-2").id,
"gemini-flash-nano-banana-3"
);
assert.equal(resolveAdobeImageModel("gpt-image").id, "gpt-image-2");
assert.throws(
() => resolveAdobeImageModel("invented-image-model"),
/Unknown Adobe Firefly image model/
);
test("resolveAdobeImageModel maps catalog and long model ids", () => {
assert.equal(resolveAdobeImageModel("nano-banana-pro").id, "nano-banana-pro");
assert.equal(resolveAdobeImageModel("adobe-firefly/nano-banana-2").id, "nano-banana-2");
assert.equal(resolveAdobeImageModel("firefly-nano-banana-pro-2k-16x9").id, "nano-banana-pro");
assert.equal(resolveAdobeImageModel("gpt-image").id, "gpt-image");
assert.ok(ADOBE_FIREFLY_IMAGE_MODELS["nano-banana-pro"].upstreamModelVersion);
});
test("resolveAdobeVideoModel maps only discovered video models", () => {
assert.equal(resolveAdobeVideoModel("veo-3.1-fast").id, "veo-3.1-fast-generate");
assert.equal(resolveAdobeVideoModel("kling-3").id, "kling-kling-v3-standard-i2v");
assert.throws(() => resolveAdobeVideoModel("sora-2"), /Unknown Adobe Firefly video model/);
assert.ok(ADOBE_FIREFLY_VIDEO_MODELS["veo-3.1"].defaultDuration > 0);
test("resolveAdobeVideoModel maps sora/veo/kling families", () => {
assert.equal(resolveAdobeVideoModel("sora-2").id, "sora-2");
assert.equal(resolveAdobeVideoModel("firefly-sora2-pro-8s-16x9").id, "sora-2-pro");
assert.equal(resolveAdobeVideoModel("veo-3.1-fast").id, "veo-3.1-fast");
assert.equal(resolveAdobeVideoModel("kling-3").id, "kling-3");
assert.ok(ADOBE_FIREFLY_VIDEO_MODELS["sora-2"].defaultDuration > 0);
});
test("buildAdobeImagePayload produces nano and gpt-image shapes", () => {
@@ -265,7 +255,10 @@ test("buildAdobeImagePayload attaches referenceBlobs like live adobe_atach_image
{ id: "2a4f1025-e0dc-4671-a11a-7dfd3c07bd94", usage: "general" },
{ id: "84c11d1a-e798-4300-a63e-c06504ca2068", usage: "general" },
]);
assert.equal((nano.generationMetadata as Record<string, unknown>).module, "text2image");
assert.equal(
(nano.generationMetadata as Record<string, unknown>).module,
"text2image"
);
const gpt = buildAdobeImagePayload({
prompt: "edit me",
@@ -275,19 +268,54 @@ test("buildAdobeImagePayload attaches referenceBlobs like live adobe_atach_image
sourceImageIds: ["aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee"],
});
assert.deepEqual(gpt.referenceBlobs, [
{ id: "aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee", usage: "source" },
{ id: "aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee", usage: "subject" },
]);
assert.equal((gpt.generationMetadata as Record<string, unknown>).module, "image2image");
assert.equal(
(gpt.generationMetadata as Record<string, unknown>).module,
"image2image"
);
// gpt-image: only first 2 subject refs survive (extra screenshots hang colligo).
const gptMany = buildAdobeImagePayload({
prompt: "edit me",
aspectRatio: "1:1",
outputResolution: "1K",
modelSpec: ADOBE_FIREFLY_IMAGE_MODELS["gpt-image-2"],
sourceImageIds: ["id-1", "id-2", "id-3", "id-4", "id-5"],
});
assert.deepEqual(gptMany.referenceBlobs, [
{ id: "id-1", usage: "subject" },
{ id: "id-2", usage: "subject" },
]);
// nano keeps up to 4 general refs for multi-panel composition.
const nanoMany = buildAdobeImagePayload({
prompt: "compose",
aspectRatio: "16:9",
outputResolution: "2K",
modelSpec: ADOBE_FIREFLY_IMAGE_MODELS["nano-banana-2"],
sourceImageIds: ["a", "b", "c", "d", "e"],
});
assert.equal((nanoMany.referenceBlobs as unknown[]).length, 4);
assert.equal((nanoMany.referenceBlobs as Array<{ usage: string }>)[0].usage, "general");
});
test("adobeFireflyImageTimeoutMs scales boundedly with reference count", () => {
test("adobeFireflyMaxImageRefs + adaptive image timeout", () => {
assert.equal(adobeFireflyMaxImageRefs("gpt-image-2"), 2);
assert.equal(adobeFireflyMaxImageRefs("adobe-firefly/gpt-image"), 2);
assert.equal(adobeFireflyMaxImageRefs("nano-banana-2"), 4);
assert.equal(adobeFireflyMaxImageRefs("flux-2"), 2);
assert.equal(adobeFireflyImageTimeoutMs({ refCount: 0 }), DEFAULT_IMAGE_TIMEOUT_MS);
assert.equal(
adobeFireflyImageTimeoutMs({ refCount: 2 }),
DEFAULT_IMAGE_TIMEOUT_MS + 2 * ADOBE_FIREFLY_IMAGE_TIMEOUT_PER_REF_MS
);
assert.equal(adobeFireflyImageTimeoutMs({ timeoutMs: 120_000, refCount: 5 }), 120_000);
assert.equal(adobeFireflyImageTimeoutMs({ refCount: 99 }), ADOBE_FIREFLY_IMAGE_TIMEOUT_MAX_MS);
assert.equal(
adobeFireflyImageTimeoutMs({ refCount: 99 }),
ADOBE_FIREFLY_IMAGE_TIMEOUT_MAX_MS
);
});
test("extractAdobeSourceImageSources reads Media page image fields", () => {
@@ -341,10 +369,10 @@ test("resolveAdobeSourceImageIds uploads data URLs then returns blob ids", async
const headers = init?.headers as Record<string, string>;
assert.match(String(headers["content-type"] || headers["Content-Type"] || ""), /image\//);
assert.ok(init?.body);
return new Response(JSON.stringify({ images: [{ id: `blob-${uploadCalls}` }] }), {
status: 200,
headers: { "content-type": "application/json" },
});
return new Response(
JSON.stringify({ images: [{ id: `blob-${uploadCalls}` }] }),
{ status: 200, headers: { "content-type": "application/json" } }
);
}
throw new Error(`unexpected fetch ${u}`);
};
@@ -362,7 +390,16 @@ test("resolveAdobeSourceImageIds uploads data URLs then returns blob ids", async
assert.equal(ADOBE_FIREFLY_IMAGE_UPLOAD_URL.includes("storage/image"), true);
});
test("buildAdobeVideoPayload follows discovered fields and reference roles", () => {
test("buildAdobeVideoPayload produces sora and veo shapes", () => {
const sora = buildAdobeVideoPayload({
prompt: "ocean waves",
aspectRatio: "16:9",
duration: 8,
modelSpec: ADOBE_FIREFLY_VIDEO_MODELS["sora-2"],
});
assert.equal(sora.modelId, "sora");
assert.equal(sora.duration, 8);
const veo = buildAdobeVideoPayload({
prompt: "city flyover",
aspectRatio: "9:16",
@@ -371,30 +408,12 @@ test("buildAdobeVideoPayload follows discovered fields and reference roles", ()
});
assert.equal(veo.modelId, "veo");
assert.equal(veo.modelVersion, "3.1-generate");
assert.equal(veo.duration, 6);
assert.equal(veo.generateAudio, true);
const kling = buildAdobeVideoPayload({
prompt: "ocean waves",
aspectRatio: "16:9",
duration: 5,
modelSpec: ADOBE_FIREFLY_VIDEO_MODELS["kling-3"],
sourceImageIds: ["aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee"],
});
assert.equal(kling.modelVersion, "kling_v3_standard_i2v");
assert.deepEqual(kling.referenceBlobs, [
{ id: "aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee", usage: "frame", order: 1 },
]);
assert.throws(
() =>
buildAdobeVideoPayload({
prompt: "bad duration",
aspectRatio: "16:9",
duration: 5,
modelSpec: ADOBE_FIREFLY_VIDEO_MODELS["veo-3.1"],
}),
/supports duration/
assert.equal(
(veo.modelSpecificPayload as Record<string, Record<string, unknown>>).parameters
.durationSeconds,
6
);
assert.equal(veo.generateAudio, true);
});
test("extractAdobeResultLink prefers x-override-status-link then links.result", () => {
@@ -457,7 +476,8 @@ test("buildAdobeSubmitNonce is sha256(user_id + prompt[:256])", async () => {
type: "access_token",
client_id: "clio-playground-web",
})
).toString("base64url");
)
.toString("base64url");
const header = Buffer.from(JSON.stringify({ alg: "none" })).toString("base64url");
const token = `${header}.${payload}.${"x".repeat(40)}`;
// Pad token length for looksLikeAdobeJwt (>=80)
@@ -489,7 +509,8 @@ test("buildAdobeSubmitNonce is sha256(user_id + prompt[:256])", async () => {
});
test("normalizeAdobePollUrl rewrites firefly-epo jobs/result to BKS", () => {
const raw = "https://firefly-epo855232.adobe.io/jobs/result/4ae9fd2a-0864-46dd-9834-cfc16e91faa6";
const raw =
"https://firefly-epo855232.adobe.io/jobs/result/4ae9fd2a-0864-46dd-9834-cfc16e91faa6";
const out = normalizeAdobePollUrl(raw);
assert.match(out, /^https:\/\/bks-epo8552\.adobe\.io\/v2\/jobs\/result\/4ae9fd2a/);
assert.match(out, /host=firefly-epo855232\.adobe\.io/);
@@ -529,7 +550,7 @@ test("adobe-firefly is in USAGE_SUPPORTED_PROVIDERS for Limits", () => {
assert.ok(USAGE_SUPPORTED_PROVIDERS.includes("firefly"));
});
test("parseAdobeModelsDiscovery preserves schemas and maps exact ids", () => {
test("parseAdobeModelsDiscovery extracts image/video versions", () => {
const rows = parseAdobeModelsDiscovery({
models: [
{
@@ -540,44 +561,16 @@ test("parseAdobeModelsDiscovery preserves schemas and maps exact ids", () => {
outputModality: ["image"],
modelDisplayName: "Gemini 3.0 (Nano Banana Pro)",
healthStatus: "HEALTHY",
inputMediaUseCase: ["editing"],
bksGenerationModel: "firefly_3p:external:gemini_flash_2",
requestSchema: {
type: "object",
properties: {
prompt: { type: "string" },
referenceBlobs: {
maxItems: 14,
"x-capabilities": [
{
mediaType: "image",
usageConstraints: [{ usageType: "general", minItems: 0, maxItems: 14 }],
maxFileSizeBytes: 104857600,
},
],
},
},
},
},
},
},
{
modelId: "veo",
modelId: "sora",
modelVersions: {
"3.1-generate": {
"sora-2": {
enabled: true,
outputModality: ["video"],
modelDisplayName: "Veo 3.1",
requestSchema: {
allOf: [
{
properties: {
prompt: { type: "string" },
duration: { anyOf: [{ type: "integer", enum: [4, 6, 8] }] },
},
},
],
},
modelDisplayName: "Sora 2",
},
},
},
@@ -587,42 +580,21 @@ test("parseAdobeModelsDiscovery preserves schemas and maps exact ids", () => {
assert.equal(rows[0].modality, "image");
assert.equal(rows[1].modality, "video");
const catalog = mapDiscoveredToCatalog(rows);
assert.ok(catalog.some((m) => m.id === "gemini-flash-nano-banana-2"));
assert.ok(catalog.some((m) => m.id === "veo-3.1-generate"));
assert.equal(catalog[0].capabilities.referenceInputs[0].maxItems, 14);
assert.deepEqual(catalog[1].capabilities.supportedDurations, [4, 6, 8]);
assert.ok(catalog.some((m) => m.id === "nano-banana-pro"));
assert.ok(catalog.some((m) => m.id === "sora-2"));
});
test("fallback catalog is the verified discovery snapshot without invented Sora", () => {
assert.equal(ADOBE_FIREFLY_FALLBACK_MODELS.length, 52);
assert.equal(getAdobeFireflyFallbackCatalog("image").length, 17);
assert.equal(getAdobeFireflyFallbackCatalog("video").length, 35);
assert.equal(
ADOBE_FIREFLY_FALLBACK_MODELS.some((model) => model.id.includes("sora")),
false
);
assert.equal(
ADOBE_FIREFLY_FALLBACK_MODELS.some(
(model) => model.id.includes("kling") && model.id.includes("omni")
),
false
);
assert.ok(ADOBE_FIREFLY_FALLBACK_MODELS.some((model) => model.id === "kling-kling-o3"));
assert.equal(
ADOBE_FIREFLY_IMAGE_MODELS["nano-banana-pro"].capabilities.referenceInputs[0].maxItems,
14
);
assert.equal(
ADOBE_FIREFLY_IMAGE_MODELS["gpt-image"].capabilities.referenceInputs[0].maxItems,
16
);
test("fallback catalog has image and video entries from get_models capture", () => {
assert.ok(ADOBE_FIREFLY_FALLBACK_MODELS.length >= 10);
assert.ok(getAdobeFireflyFallbackCatalog("image").length >= 4);
assert.ok(getAdobeFireflyFallbackCatalog("video").length >= 4);
});
test("extractAdobeAccountIdFromToken reads user_id claim", () => {
// {"user_id":"0EB@AdobeID"} base64url
const payload = Buffer.from(
JSON.stringify({ user_id: "0EB@AdobeID", type: "access_token" })
).toString("base64url");
const payload = Buffer.from(JSON.stringify({ user_id: "0EB@AdobeID", type: "access_token" })).toString(
"base64url"
);
const jwt = `eyJhbGciOiJub25lIn0.${payload}.sig`;
assert.equal(extractAdobeAccountIdFromToken(jwt), "0EB@AdobeID");
});
@@ -630,7 +602,18 @@ test("extractAdobeAccountIdFromToken reads user_id claim", () => {
// --- Handlers (mocked fetch) ----------------------------------------------
function jsonResponse(status: number, body: unknown, headerMap: Record<string, string> = {}) {
return new Response(JSON.stringify(body) ?? null, { status, headers: headerMap });
return {
ok: status >= 200 && status < 300,
status,
headers: {
get: (name: string) => {
const key = Object.keys(headerMap).find((k) => k.toLowerCase() === name.toLowerCase());
return key ? headerMap[key] : null;
},
},
json: async () => body,
text: async () => JSON.stringify(body),
} as unknown as Response;
}
test("handleAdobeFireflyImageGeneration returns 400 when prompt is missing", async () => {
@@ -755,7 +738,7 @@ test("adobeFireflyGenerateVideo submit+poll happy path (mocked)", async () => {
const result = await adobeFireflyGenerateVideo({
accessToken: "tok",
prompt: "drone over forest",
model: "veo-3.1",
model: "sora-2",
duration: 4,
aspectRatio: "16:9",
fetchImpl: fetchImpl as typeof fetch,
@@ -766,7 +749,7 @@ test("adobeFireflyGenerateVideo submit+poll happy path (mocked)", async () => {
test("handleAdobeFireflyVideoGeneration returns 400 without prompt", async () => {
const result = await handleAdobeFireflyVideoGeneration({
model: "veo-3.1",
model: "sora-2",
provider: "adobe-firefly",
body: {},
credentials: { apiKey: "aaa.bbb.ccc" },
@@ -796,19 +779,13 @@ test("guest JWT without AdobeID is detected", () => {
const emptyPayload = Buffer.from("{}").toString("base64url");
const guestJwt = `eyJhbGciOiJub25lIn0.${emptyPayload}.sig`;
// Pad to lookLikeAdobeJwt length if needed
const longGuest =
`eyJhbGciOiJSUzI1NiJ9.${Buffer.from(JSON.stringify({ client_id: "clio-playground-web" })).toString("base64url")}.` +
"x".repeat(40);
const longGuest = `eyJhbGciOiJSUzI1NiJ9.${Buffer.from(JSON.stringify({ client_id: "clio-playground-web" })).toString("base64url")}.` + "x".repeat(40);
assert.equal(isAdobeGuestAccessToken(longGuest), true);
const userJwt =
`eyJhbGciOiJSUzI1NiJ9.` +
Buffer.from(
JSON.stringify({
user_id: "0EB@AdobeID",
type: "access_token",
client_id: "clio-playground-web",
})
).toString("base64url") +
Buffer.from(JSON.stringify({ user_id: "0EB@AdobeID", type: "access_token", client_id: "clio-playground-web" })).toString(
"base64url"
) +
`.` +
"y".repeat(40);
assert.equal(isAdobeGuestAccessToken(userJwt), false);
@@ -855,13 +832,7 @@ test("cookie exchange rejects guest IMS tokens", async () => {
});
test("isAdobeTransientSubmitError detects 408 system under load", () => {
assert.equal(
isAdobeTransientSubmitError(
408,
'{"error_code":"timeout_error","message":"system under load"}'
),
true
);
assert.equal(isAdobeTransientSubmitError(408, '{"error_code":"timeout_error","message":"system under load"}'), true);
assert.equal(isAdobeTransientSubmitError(429, "rate"), true);
assert.equal(isAdobeTransientSubmitError(400, "bad request"), false);
assert.ok(generateAdobeNonce().length === 64);
@@ -909,7 +880,11 @@ test("image submit retries on 408 then succeeds", async () => {
if (submits < 3) {
return jsonResponse(408, { error_code: "timeout_error", message: "system under load" });
}
return jsonResponse(200, { links: { result: { href: "https://poll.example/job/r1" } } }, {});
return jsonResponse(
200,
{ links: { result: { href: "https://poll.example/job/r1" } } },
{}
);
}
if (u.includes("poll.example")) {
return jsonResponse(200, {
@@ -934,11 +909,7 @@ test("adobeFireflyGenerateImage cookie path exchanges IMS token first", async ()
const userTok =
`eyJhbGciOiJSUzI1NiJ9.` +
Buffer.from(
JSON.stringify({
user_id: "0EB@AdobeID",
type: "access_token",
client_id: "clio-playground-web",
})
JSON.stringify({ user_id: "0EB@AdobeID", type: "access_token", client_id: "clio-playground-web" })
).toString("base64url") +
`.` +
"s".repeat(40);
@@ -960,7 +931,11 @@ test("adobeFireflyGenerateImage cookie path exchanges IMS token first", async ()
? (init.headers as Record<string, string>).Authorization
: auth;
assert.equal(headerAuth, `Bearer ${userTok}`);
return jsonResponse(200, {}, { "x-override-status-link": "https://poll.example/job/c1" });
return jsonResponse(
200,
{},
{ "x-override-status-link": "https://poll.example/job/c1" }
);
}
if (String(url).includes("poll.example")) {
return jsonResponse(200, {

View File

@@ -1,43 +0,0 @@
import { test } from "node:test";
import assert from "node:assert/strict";
import { isRoutableProviderPrefix } from "../../src/lib/ccDiscoveryAliasResolve.ts";
/**
* Regression guard for the "listed but rejected" cc-discovery alias mismatch.
*
* The /v1/models catalog mirrors `claude/<provider>/<model>` ids based purely on
* the alias gate (src/app/api/v1/models/ccAliasPredicate.ts — it does NOT consult
* any provider registry). The request path additionally required the prefix to be
* an `open-sse` REGISTRY entry or an operator-defined custom node.
*
* Enterprise-cloud providers such as `azure-ai` / `azure-openai` live in the
* provider CATALOG (src/shared/constants/providers/apikey/enterprise-cloud.ts)
* and route fine directly (`azure-ai/Phi-4` → 200), but have no `open-sse`
* registry entry. So the catalog advertised `claude/azure-ai/<model>` while the
* request path refused to strip it — the id fell through with `claude` parsed as
* the provider, and every request was routed to the Claude provider instead.
*
* These assertions pin the predicate to "can the router actually reach it",
* which is the property the catalog side already assumes.
*/
test("catalog-only enterprise-cloud providers are routable (azure-ai regression)", () => {
assert.equal(isRoutableProviderPrefix("azure-ai"), true);
assert.equal(isRoutableProviderPrefix("azure-openai"), true);
});
test("open-sse registry providers stay routable", () => {
assert.equal(isRoutableProviderPrefix("openai"), true);
assert.equal(isRoutableProviderPrefix("anthropic"), true);
});
test("provider aliases resolve too", () => {
// `azure` is the declared alias of the `azure-openai` catalog entry.
assert.equal(isRoutableProviderPrefix("azure"), true);
});
test("an unknown prefix is not routable", () => {
assert.equal(isRoutableProviderPrefix("definitely-not-a-provider-xyz"), false);
assert.equal(isRoutableProviderPrefix(""), false);
});

View File

@@ -1,25 +1,10 @@
import test from "node:test";
import assert from "node:assert/strict";
import fs from "node:fs";
import os from "node:os";
import path from "node:path";
const TEST_DATA_DIR = fs.mkdtempSync(path.join(os.tmpdir(), "omniroute-claude-rendering-"));
const previousDataDir = process.env.DATA_DIR;
process.env.DATA_DIR = TEST_DATA_DIR;
const { openaiResponsesToOpenAIResponse } =
await import("../../open-sse/translator/response/openai-responses.ts");
const { FORMATS } = await import("../../open-sse/translator/formats.ts");
const { createSSETransformStreamWithLogger } = await import("../../open-sse/utils/stream.ts");
const { resetDbInstance } = await import("../../src/lib/db/core.ts");
test.after(() => {
resetDbInstance();
if (previousDataDir === undefined) delete process.env.DATA_DIR;
else process.env.DATA_DIR = previousDataDir;
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
});
test("Responses->Chat: output_item.done emits arguments when no delta chunks were sent", () => {
const state = {
@@ -53,7 +38,7 @@ test("Responses->Chat: output_item.done emits arguments when no delta chunks wer
assert.equal(state.toolCallIndex, 1);
});
test("Responses->Chat: buffered argument deltas emit once at output_item.done", () => {
test("Responses->Chat: output_item.done does not re-emit arguments already streamed via deltas", () => {
const state = {
started: true,
chatId: "chatcmpl-test",
@@ -61,19 +46,9 @@ test("Responses->Chat: buffered argument deltas emit once at output_item.done",
toolCallIndex: 0,
finishReasonSent: false,
currentToolCallId: "call_abc",
currentToolCallArgsBuffer: "",
currentToolCallArgsBuffer: '{"query":"search"}',
};
const deltaResult = openaiResponsesToOpenAIResponse(
{
type: "response.function_call_arguments.delta",
delta: '{"query":"search"}',
},
state
);
assert.equal(deltaResult, null);
const chunk = {
type: "response.output_item.done",
item: {
@@ -87,8 +62,7 @@ test("Responses->Chat: buffered argument deltas emit once at output_item.done",
const result = openaiResponsesToOpenAIResponse(chunk, state);
assert.ok(result);
assert.equal(result.choices[0].delta.tool_calls[0].function.arguments, '{"query":"search"}');
assert.equal(result, null);
assert.equal(state.toolCallIndex, 1);
});

View File

@@ -69,7 +69,7 @@ test("ServerSupervisor starts Node with IPv4-first DNS", async () => {
assert.deepEqual(spawnCalls, [
{
command: process.execPath,
command: "node",
args: ["--dns-result-order=ipv4first", "--max-old-space-size=2048", "/app/server.js"],
},
]);

View File

@@ -80,8 +80,6 @@ test("#7849: the two-message pathological pair stays bounded", () => {
Date.now() - started < 4000,
"the pathological pair must stay fast; quadratic work would take seconds"
);
assert.strictEqual(result.body, body, "bounded processing must preserve the input body");
assert.equal(result.compressed, false, "the non-deduplicable pair must fail open");
assert.ok(Array.isArray((result.body as { messages?: unknown[] }).messages));
});

View File

@@ -97,21 +97,6 @@ test("package.json files[] excludes nested node_modules from the published packa
);
});
test("build-next-isolated sibling imports are allowed in the published package", () => {
const buildDependencies = [
"scripts/build/assembleStandalone.mjs",
"scripts/build/backendOnlyPages.mjs",
"scripts/build/build-tproxy-native.mjs",
];
const unexpectedPaths = findUnexpectedArtifactPaths(buildDependencies, {
exactPaths: PACK_ARTIFACT_ALLOWED_EXACT_PATHS,
prefixPaths: PACK_ARTIFACT_ALLOWED_PATH_PREFIXES,
});
assert.deepEqual(unexpectedPaths, []);
});
test("webdav-handler.mjs is allowed in staging dist/ (server-ws.mjs dependency, missed in 3.8.22 build)", () => {
const unexpectedPaths = findUnexpectedArtifactPaths(["webdav-handler.mjs"], {
exactPaths: APP_STAGING_ALLOWED_EXACT_PATHS,

View File

@@ -212,7 +212,7 @@ test("#8969: mocked execute posts Chat Completions with Bearer, no Cookie, strip
globalThis.fetch = (async (input: RequestInfo | URL, init?: RequestInit) => {
const headers = new Headers(init?.headers);
const rawBody = await new Request(input, init).text();
const rawBody = typeof init?.body === "string" ? init.body : "{}";
seen.push({
url: String(input),
method: (init?.method || "GET").toUpperCase(),

View File

@@ -1,167 +0,0 @@
/**
* TDD regression guard — quality validation false-positive on benign `error`
* fields in streaming SSE chunks.
*
* `isStreamingUpstreamError` treats ANY non-null `error` field as an upstream
* failure: `parsed.error != null` is true for `{}`, `""`, `false`, and `0`.
* When a client like opencode issues a tool-call turn, the upstream SSE opens
* with role-only frames (no recognized content) and a later chunk that carries
* real tool_calls content PLUS a benign empty `error` field (a field some
* backends emit on every chunk). The error gate runs BEFORE the content
* recognizers, so that single frame short-circuits to "error" → 502
* "streaming upstream error" — while the same combo via kilocode (different
* wire format) never emits the empty `error` field and works fine.
*/
import test from "node:test";
import assert from "node:assert/strict";
const { validateResponseQuality } = await import("../../open-sse/services/combo.ts");
const encoder = new TextEncoder();
const silentLog = { warn: () => {} };
function openAiSseStream(events: string[]): ReadableStream<Uint8Array> {
const body = events.join("\n") + "\n";
return new ReadableStream<Uint8Array>({
start(controller) {
controller.enqueue(encoder.encode(body));
controller.close();
},
});
}
/**
* OpenAI-compatible tool-call stream that ALSO carries a benign empty `error`
* field on the tool_calls chunk. Some backends emit `"error": {}` or
* `"error": ""` alongside every chunk; that is not a real upstream failure.
* The frame must be treated as CONTENT (valid), not ERROR.
*/
function makeToolCallStreamWithBenignError(): Response {
const events = [
// role-only first chunk — no recognized content, widens the peek window
`data: ${JSON.stringify({
id: "chatcmpl_1",
object: "chat.completion.chunk",
created: 123,
model: "gpt-4o",
choices: [{ index: 0, delta: { role: "assistant" }, finish_reason: null }],
})}`,
"",
// tool_calls delta + benign empty `error` field (the bug trigger)
`data: ${JSON.stringify({
id: "chatcmpl_2",
object: "chat.completion.chunk",
created: 123,
model: "gpt-4o",
choices: [
{
index: 0,
delta: {
tool_calls: [
{ index: 0, id: "call_1", type: "function", function: { name: "Bash", arguments: "" } },
],
},
finish_reason: null,
},
],
error: {},
})}`,
"",
`data: [DONE]`,
"",
];
return new Response(openAiSseStream(events), {
status: 200,
headers: { "content-type": "text/event-stream" },
});
}
test("OpenAI stream with tool_calls + benign empty error:{} field is VALID (not 502)", async () => {
const res = makeToolCallStreamWithBenignError();
const out = await validateResponseQuality(res, true, silentLog);
assert.equal(
out.valid,
true,
`expected valid for tool_calls chunk with benign error:{}, got valid=false (reason: ${out.reason})`
);
assert.ok(out.clonedResponse, "clonedResponse must be present for valid streaming response");
});
test("OpenAI stream with tool_calls + benign empty error:'' field is VALID", async () => {
const events = [
`data: ${JSON.stringify({
id: "chatcmpl_3",
object: "chat.completion.chunk",
created: 123,
model: "gpt-4o",
choices: [{ index: 0, delta: { role: "assistant" }, finish_reason: null }],
})}`,
"",
`data: ${JSON.stringify({
id: "chatcmpl_4",
object: "chat.completion.chunk",
created: 123,
model: "gpt-4o",
choices: [
{
index: 0,
delta: {
tool_calls: [
{ index: 0, id: "call_2", type: "function", function: { name: "Read", arguments: "" } },
],
},
finish_reason: null,
},
],
error: "",
})}`,
"",
`data: [DONE]`,
"",
];
const res = new Response(openAiSseStream(events), {
status: 200,
headers: { "content-type": "text/event-stream" },
});
const out = await validateResponseQuality(res, true, silentLog);
assert.equal(
out.valid,
true,
`expected valid for tool_calls chunk with benign error:"", got valid=false (reason: ${out.reason})`
);
});
test("Stream with a REAL non-empty error object is still flagged as invalid", async () => {
const events = [
`data: ${JSON.stringify({
id: "chatcmpl_5",
object: "chat.completion.chunk",
created: 123,
model: "gpt-4o",
choices: [{ index: 0, delta: { role: "assistant" }, finish_reason: null }],
})}`,
"",
`data: ${JSON.stringify({
id: "chatcmpl_6",
object: "chat.completion.chunk",
created: 123,
model: "gpt-4o",
choices: [{ index: 0, delta: {}, finish_reason: null }],
error: { message: "upstream quota exceeded", code: "rate_limit_exceeded" },
})}`,
"",
`data: [DONE]`,
"",
];
const res = new Response(openAiSseStream(events), {
status: 200,
headers: { "content-type": "text/event-stream" },
});
const out = await validateResponseQuality(res, true, silentLog);
assert.equal(
out.valid,
false,
`expected invalid for real error object, got valid=true (reason: ${out.reason})`
);
assert.match(out.reason ?? "", /streaming upstream error/, "reason should mention the upstream error");
});

View File

@@ -26,12 +26,6 @@ function wait(ms: number) {
return new Promise((resolve) => setTimeout(resolve, ms));
}
// Leave enough scheduling headroom for a loaded CI/devbox while keeping the
// executing callback longer than the queue-only budget. The actual queued-job
// case stays short because it controls dispatch deterministically.
const DISPATCHED_QUEUE_BUDGET_MS = 2_000;
const QUEUED_QUEUE_BUDGET_MS = 250;
test.afterEach(async () => {
await rateLimitManager.__resetRateLimitManagerForTests();
});
@@ -49,23 +43,14 @@ async function triggerQueueTimeout() {
concurrentRequests: 1,
requestsPerMinute: 100000,
minTimeBetweenRequestsMs: 0,
maxWaitMs: DISPATCHED_QUEUE_BUDGET_MS,
maxWaitMs: 40,
});
const connectionId = "conn-dispatched-timeout";
rateLimitManager.enableRateLimitProtection(connectionId);
rateLimitManager.enableRateLimitProtection("conn-queue-timeout");
let dispatched = false;
const result = await rateLimitManager.withRateLimit(
"test-provider",
connectionId,
null,
async () => {
dispatched = true;
await wait(DISPATCHED_QUEUE_BUDGET_MS + 250);
return "should-not-reach";
}
);
return { dispatched, result };
return rateLimitManager.withRateLimit("openai", "conn-queue-timeout", "gpt-4o", async () => {
await wait(400); // > maxWaitMs (40ms) → Bottleneck fails the job
return "should-not-reach";
});
}
async function triggerQueuedTimeout() {
@@ -75,7 +60,7 @@ async function triggerQueuedTimeout() {
concurrentRequests: 1,
requestsPerMinute: 0,
minTimeBetweenRequestsMs: 0,
maxWaitMs: QUEUED_QUEUE_BUDGET_MS,
maxWaitMs: 40,
});
const connectionId = "conn-queued-timeout";
rateLimitManager.enableRateLimitProtection(connectionId);
@@ -94,12 +79,13 @@ async function triggerQueuedTimeout() {
await firstExecuting;
let caught: unknown;
let queuedDispatched = false;
try {
await rateLimitManager.withRateLimit("test-provider", connectionId, null, async () => {
queuedDispatched = true;
return "should-not-dispatch";
});
await rateLimitManager.withRateLimit(
"test-provider",
connectionId,
null,
async () => "should-not-dispatch"
);
assert.fail("expected the queued job to expire");
} catch (error) {
caught = error;
@@ -107,20 +93,16 @@ async function triggerQueuedTimeout() {
releaseFirst();
await first;
}
return { caught, queuedDispatched };
return caught;
}
test("#4165 a dispatched provider call is not killed by the queue budget", async () => {
const execution = await triggerQueueTimeout();
assert.equal(execution.dispatched, true, "the callback must enter execution");
assert.equal(execution.result, "should-not-reach");
const result = await triggerQueueTimeout();
assert.equal(result, "should-not-reach");
});
test("#4165 queue expiry surfaces a clear local error", async () => {
const result = await triggerQueuedTimeout();
assert.ok(result.caught instanceof Error, "queue expiry must reject with an Error");
assert.equal(result.queuedDispatched, false, "an expired queued callback must never dispatch");
const caught = result.caught as Error & { code?: string };
const caught = (await triggerQueuedTimeout()) as Error & { code?: string };
assert.equal(caught.code, "RATE_LIMIT_QUEUE_TIMEOUT");
assert.match(caught.message, /maxWaitMs/);
assert.match(caught.message, /not an upstream/i);

View File

@@ -1,53 +0,0 @@
import test from "node:test";
import assert from "node:assert/strict";
import { createBuiltinAutoCombo } from "@omniroute/open-sse/services/autoCombo/builtinCatalog.ts";
// #7754: `auto/best-free` combo name must never leak downstream as the model id.
// When the free-tier candidate pool resolves non-empty, every model in the combo
// must carry a concrete `<provider>/<model>` id — never the literal combo name.
test("#7754 auto/best-free never leaks the combo name as a model", async () => {
const combo = await createBuiltinAutoCombo("auto/best-free", "best-free");
const models = combo.models || [];
// The combo id is the modelStr by design (routing resolves it back), but the
// models array must never contain it as a target model.
const leak = models.filter(
(m) =>
(m.id || "") === "auto/best-free" ||
(m.model || "") === "auto/best-free" ||
(m.modelStr || "") === "auto/best-free"
);
assert.equal(leak.length, 0, `combo name leaked as a target model: ${JSON.stringify(leak)}`);
});
test("#7754 every auto/best-free model carries a concrete provider/model", async () => {
const combo = await createBuiltinAutoCombo("auto/best-free", "best-free");
const models = combo.models || [];
for (const m of models) {
assert.ok(
m.model && m.model !== "auto/best-free",
`model missing concrete id: ${JSON.stringify(m)}`
);
assert.ok(
m.providerId && m.providerId !== "auto",
`model missing concrete provider: ${JSON.stringify(m)}`
);
}
});
test("#7754 empty free-tier pool degrades with a clear 503, not a name leak", async () => {
// When NO free-tier candidate exists, createBuiltinAutoCombo must either
// return an empty models[] (which the #6458 route check converts to a clear
// 503) or throw — never synthesize a target whose model is the combo name.
const combo = await createBuiltinAutoCombo("auto/best-free", "best-free");
const models = combo.models || [];
if (models.length === 0) {
// Empty pool is fine — the route layer (#6458) converts it to a clear 503.
assert.equal(combo.candidatePool?.length || 0, 0);
} else {
// Non-empty pool must not leak.
const leak = models.filter((m) => (m.model || "") === "auto/best-free");
assert.equal(leak.length, 0);
}
});

View File

@@ -9,29 +9,15 @@ const __dirname = dirname(fileURLToPath(import.meta.url));
const repoRoot = resolve(__dirname, "../..");
const WORKFLOW = resolve(repoRoot, ".github/workflows/quality.yml");
interface WorkflowStep {
name?: string;
run?: string;
"continue-on-error"?: boolean;
}
interface WorkflowDocument {
jobs?: Record<string, { steps?: WorkflowStep[] }>;
}
function loadWorkflow(): WorkflowDocument {
return parse(readFileSync(WORKFLOW, "utf8")) as WorkflowDocument;
function loadWorkflow(): any {
return parse(readFileSync(WORKFLOW, "utf8"));
}
function invokesGate(run: string): boolean {
if (!run) return false;
return (
/npm run (check:|typecheck:)/.test(run) ||
/npm run "check/.test(run) ||
/npm run \\"check/.test(run)
);
return /npm run (check:|typecheck:)/.test(run) || /npm run "check/.test(run) || /npm run \\"check/.test(run);
}
function stepCanFail(step: WorkflowStep): boolean {
function stepCanFail(step: any): boolean {
return step?.["continue-on-error"] !== true;
}
@@ -39,7 +25,7 @@ test("repro #8542: fast-gates must not fail-fast into a later gate", () => {
const wf = loadWorkflow();
const job = wf.jobs?.["fast-gates"];
assert.ok(job, "fast-gates job must exist");
const steps: WorkflowStep[] = job.steps ?? [];
const steps: any[] = job.steps ?? [];
assert.ok(steps.length >= 5, `fast-gates must have >=5 steps, got ${steps.length}`);
const gateSteps = steps.map((s, i) => ({ s, i })).filter(({ s }) => invokesGate(s?.run ?? ""));
@@ -65,4 +51,4 @@ test("repro #8542: fast-gates must not fail-fast into a later gate", () => {
maskedPairs.slice(0, 12).join("\n") +
(maskedPairs.length > 12 ? `\n... (+${maskedPairs.length - 12} more)` : "")
);
});
});

View File

@@ -1,70 +0,0 @@
import { test } from "node:test";
import assert from "node:assert/strict";
import fs from "node:fs";
import os from "node:os";
import path from "node:path";
import { syncStandaloneNativeAssets } from "../../scripts/build/assembleStandalone.mjs";
/**
* Repro #8847: better-sqlite3 prebuilds are not included in the standalone
* bundle, so the bundled app fails when the platform's prebuild is needed
* (e.g. under Bun, which resolves the native binary via prebuilds/ rather
* than build/Release/).
*
* The test creates a synthetic node_modules/better-sqlite3/ tree with both
* the compiled build/Release/ binary AND the prebuilds/ directory, then
* confirms that syncStandaloneNativeAssets copies both into the standalone
* output. On the unfixed code this fails because NATIVE_ASSET_ENTRIES only
* lists better-sqlite3/build/.
*/
test("repro-8847: better-sqlite3 prebuilds are bundled alongside the compiled binary", async () => {
const tmp = fs.mkdtempSync(path.join(os.tmpdir(), "repro-8847-"));
const projectRoot = path.join(tmp, "src-root");
// Seed better-sqlite3 with both build/Release/ and prebuilds/.
const bsqlDir = path.join(projectRoot, "node_modules", "better-sqlite3");
fs.mkdirSync(path.join(bsqlDir, "build", "Release"), { recursive: true });
fs.writeFileSync(
path.join(bsqlDir, "build", "Release", "better_sqlite3.node"),
"// native binary placeholder"
);
fs.mkdirSync(path.join(bsqlDir, "prebuilds"), { recursive: true });
for (const target of [
"darwin-arm64.node",
"darwin-x64.node",
"linux-arm64.node",
"linux-x64.node",
"linuxmusl-arm64.node",
"linuxmusl-x64.node",
"win32-arm64.node",
"win32-x64.node",
]) {
fs.writeFileSync(path.join(bsqlDir, "prebuilds", target), `// ${target}`);
}
const outDir = path.join(tmp, "standalone");
fs.mkdirSync(outDir, { recursive: true });
// Act: copy native assets into the standalone output.
await syncStandaloneNativeAssets(projectRoot, fs.promises, { log() {} }, outDir);
// Assert: the compiled build/Release/ binary was copied.
assert.ok(
fs.existsSync(
path.join(outDir, "node_modules", "better-sqlite3", "build", "Release", "better_sqlite3.node")
),
"compiled native binary (build/Release/) must be in the standalone bundle"
);
// Assert: the prebuilds/ directory was also copied.
const prebuildsDir = path.join(outDir, "node_modules", "better-sqlite3", "prebuilds");
assert.ok(fs.existsSync(prebuildsDir), "prebuilds/ directory must be in the standalone bundle");
// Assert: at least one prebuild file was copied.
assert.ok(
fs.existsSync(path.join(prebuildsDir, "linux-x64.node")),
"linux-x64 prebuild must be in the standalone bundle"
);
fs.rmSync(tmp, { recursive: true, force: true });
});

View File

@@ -1,111 +0,0 @@
import test from "node:test";
import assert from "node:assert/strict";
import fs from "node:fs";
import path from "node:path";
// #9156: macOS launchd autostart fails because the supervisor spawns the child
// with bare "node", but launchd's PATH cannot resolve it. process.execPath is
// always the absolute path to the running Node.js binary and is always resolvable.
//
// We verify the fix via:
// 1. Static source analysis — the spawn() call must use process.execPath
// unconditionally (no fallback to bare "node"). This runs without any
// experimental flags so it serves as the permanent regression guard.
// 2. Runtime test via mock.module (requires --experimental-test-module-mocks)
// that captures the actual spawn arguments.
const __filename = new URL(import.meta.url).pathname;
const __dirname = path.dirname(__filename);
const SUPERVISOR_PATH = path.resolve(
__dirname,
"../../bin/cli/runtime/processSupervisor.mjs"
);
const supervisorSrc = fs.readFileSync(SUPERVISOR_PATH, "utf8");
// ---------------------------------------------------------------------------
// 1. Source-level verification (no experimental flag required)
// ---------------------------------------------------------------------------
test("spawn() uses process.execPath unconditionally, no bare 'node' fallback (#9156)", () => {
// Must NOT contain the old conditional that falls back to bare "node"
assert.ok(
!supervisorSrc.includes('process.versions.bun ? process.execPath : "node"'),
"must NOT have a conditional fallback to bare 'node'"
);
// Must use process.execPath as the first argument to spawn()
const execPathPattern = /spawn\(\s*process\.execPath\s*,/;
assert.ok(
execPathPattern.test(supervisorSrc),
"spawn() must receive process.execPath as first argument"
);
});
test("process.execPath is an absolute path to the running Node.js binary", () => {
assert.ok(
path.isAbsolute(process.execPath),
`process.execPath must be absolute, got: ${process.execPath}`
);
assert.ok(
fs.existsSync(process.execPath),
`process.execPath must exist: ${process.execPath}`
);
});
// ---------------------------------------------------------------------------
// 2. Runtime test via mock.module (requires --experimental-test-module-mocks)
// ---------------------------------------------------------------------------
//
// Run manually: node --experimental-test-module-mocks --import tsx/esm --test tests/unit/repro-9156.test.ts
import { mock } from "node:test";
if (typeof mock.module === "function") {
test("(runtime) ServerSupervisor.start() spawns with process.execPath (#9156)", async () => {
let spawnExecutable: string | undefined;
const { EventEmitter } = await import("node:events");
const mockChild = Object.assign(new EventEmitter(), {
pid: 12345,
stdout: null,
stderr: null,
kill: () => {},
});
mock.module("node:child_process", {
exports: {
spawn: (...args: unknown[]) => {
spawnExecutable = args[0] as string;
return mockChild;
},
},
});
process.env.PORT = "0";
const { ServerSupervisor } = await import(
"../../bin/cli/runtime/processSupervisor.mjs"
);
const supervisor = new ServerSupervisor({
serverPath: "/fake/server.js",
env: {},
maxRestarts: 0,
});
spawnExecutable = undefined;
supervisor.start();
assert.ok(spawnExecutable, "spawn() must have been called");
assert.equal(
spawnExecutable,
process.execPath,
`expected process.execPath, got: ${spawnExecutable}`
);
assert.notEqual(spawnExecutable, "node", "must not be bare 'node'");
mockChild.removeAllListeners();
delete process.env.PORT;
});
}

View File

@@ -1,71 +0,0 @@
/**
* Issue #9486 — Anthropic OAuth returns HTTP 400 with "out of extra usage" in
* the error body when a tool-carrying request exceeds the account's usage quota.
* This should be classified as quota_exhausted (not generic bad_request), so the
* account fallback mechanism applies a proper cooldown and combo routing can
* skip to another target.
*/
import test from "node:test";
import assert from "node:assert/strict";
const { matchErrorRuleByText, findMatchingErrorRule, ERROR_RULES } =
await import("../../open-sse/config/errorConfig.ts");
const { checkFallbackError, classifyErrorText } =
await import("../../open-sse/services/accountFallback.ts");
const { RateLimitReason } = await import("../../open-sse/config/constants.ts");
test("#9486 ERROR_RULES has a text rule for 'out of extra usage' → quota_exhausted", () => {
const rule = ERROR_RULES.find((r) => r.text === "out of extra usage");
assert.ok(rule, "expected a rule for 'out of extra usage'");
assert.equal(rule!.reason, "quota_exhausted");
// Should use backoff so the fallback path applies exponential scaling
assert.equal(rule!.backoff, true);
});
test("#9486 matchErrorRuleByText finds 'out of extra usage' rule", () => {
const rule = matchErrorRuleByText("out of extra usage");
assert.ok(rule, "expected a matching rule");
assert.equal(rule!.reason, "quota_exhausted");
});
test("#9486 matchErrorRuleByText finds rule in a longer error message", () => {
const rule = matchErrorRuleByText(
"Error: 400 - out of extra usage. You have exceeded your usage quota for this billing period."
);
assert.ok(rule, "expected a matching rule from longer message");
assert.equal(rule!.reason, "quota_exhausted");
});
test("#9486 findMatchingErrorRule with 400 + 'out of extra usage' returns quota_exhausted", () => {
const rule = findMatchingErrorRule(400, "out of extra usage");
assert.ok(rule, "expected a matching rule");
assert.equal(rule!.reason, "quota_exhausted");
});
test("#9486 checkFallbackError returns quota_exhausted for 400 + 'out of extra usage'", () => {
const out = checkFallbackError(400, "out of extra usage", 0, null, "claude");
assert.equal(out.shouldFallback, true);
assert.equal(out.reason, RateLimitReason.QUOTA_EXHAUSTED);
// Should get a non-zero cooldown (quota exhaustion is not transient)
assert.ok(out.cooldownMs > 0, `expected positive cooldown, got ${out.cooldownMs}ms`);
});
test("#9486 checkFallbackError handles 'Extra usage required' (same class)", () => {
// Anthropic sometimes returns "Extra usage required" instead of "out of extra usage"
const out = checkFallbackError(400, "Extra usage required", 0, null, "claude");
assert.equal(out.shouldFallback, true);
assert.equal(out.reason, RateLimitReason.QUOTA_EXHAUSTED);
});
test("#9486 classifyErrorText flags 'out of extra usage' as QUOTA_EXHAUSTED", () => {
const out = classifyErrorText("out of extra usage");
assert.equal(out, RateLimitReason.QUOTA_EXHAUSTED);
});
test("#9486 generic 400 without quota text still gets no fallback (regression guard)", () => {
// Regression guard: a plain 400 with no quota-related text must NOT trigger
// fallback, preserving the existing behavior for non-quota 400 errors.
const out = checkFallbackError(400, "Bad request: invalid JSON", 0, null, "claude");
assert.equal(out.shouldFallback, false);
assert.equal(out.reason, RateLimitReason.UNKNOWN);
});

View File

@@ -1,52 +0,0 @@
import test from "node:test";
import assert from "node:assert/strict";
// #9623: Failed connection test leaves testStatus=error with no recovery path.
// Previously the route wrote testStatus:"error" + rateLimitedUntil:null, which the
// lazy-recovery cooldown filter never matches (it only skips FUTURE rateLimitedUntil),
// leaving the connection permanently unavailable after a transient outage.
// Fix: non-terminal test failures now get a short future cooldown (30s) so they recover.
test("#9623 fix: non-terminal test failure sets a future rateLimitedUntil", () => {
// Simulate the fixed updateData logic
const now = Date.now();
const terminalTestStatuses = new Set(["banned", "expired", "credits_exhausted"]);
const valid = false;
const diagnosis = { code: "network_error", type: "upstream" }; // non-terminal
const isTerminalFailure = terminalTestStatuses.has(String(diagnosis.code).toLowerCase());
const testFailureCooldownMs = 30_000;
const rateLimitedUntil =
valid || isTerminalFailure
? valid
? null
: null
: new Date(now + testFailureCooldownMs).toISOString();
assert.ok(
rateLimitedUntil !== null,
"non-terminal failure should set a future rateLimitedUntil"
);
const cooldownTime = new Date(rateLimitedUntil as string).getTime();
assert.ok(
cooldownTime > now,
"rateLimitedUntil must be in the future so the lazy-recovery path retries"
);
assert.ok(
cooldownTime <= now + 30_000,
"cooldown should be bounded (30s)"
);
});
test("#9623 guard: terminal failures stay terminal (no fake recovery)", () => {
const terminalTestStatuses = new Set(["banned", "expired", "credits_exhausted"]);
const diagnosis = { code: "banned", type: "terminal" };
const isTerminalFailure = terminalTestStatuses.has(String(diagnosis.code).toLowerCase());
assert.equal(isTerminalFailure, true, "banned must be terminal");
});
test("#9623: success resets cooldown to null", () => {
const valid = true;
const rateLimitedUntil = valid ? null : new Date(Date.now() + 30_000).toISOString();
assert.equal(rateLimitedUntil, null, "successful test clears cooldown");
});

View File

@@ -1,52 +0,0 @@
import { describe, it } from "node:test";
import { strict as assert } from "node:assert";
import { readFileSync } from "node:fs";
import { fileURLToPath } from "node:url";
import { dirname, resolve } from "node:path";
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const INSTRUMENTATION_NODE_PATH = resolve(
__dirname,
"../../src/instrumentation-node.ts"
);
describe("repro-9624: startCleanupScheduler wired in Next.js startup path", () => {
it("should import startCleanupScheduler from cleanup", () => {
const source = readFileSync(INSTRUMENTATION_NODE_PATH, "utf-8");
// instrumentation-node.ts loads all startup modules via dynamic imports in a
// Promise.all destructure, e.g.:
// const [{ startCleanupScheduler }, ...] = await Promise.all([
// import("@/lib/db/cleanup"), ...
// ]);
// So the binding and the module import appear separately in the file.
const cleanupModuleImported = /import\(\s*["']@\/lib\/db\/cleanup["']\s*\)/.test(
source
);
const schedulerBound = /\bstartCleanupScheduler\b/.test(source);
assert.ok(
cleanupModuleImported,
"@/lib/db/cleanup should be imported (dynamic import) in instrumentation-node.ts"
);
assert.ok(
schedulerBound,
"startCleanupScheduler should be bound in instrumentation-node.ts"
);
});
it("should call startCleanupScheduler() during startup", () => {
const source = readFileSync(INSTRUMENTATION_NODE_PATH, "utf-8");
// Check that startCleanupScheduler is called (as a function call).
// It can be called directly or as part of a conditional.
const hasCall = /\bstartCleanupScheduler\s*\(/.test(source);
assert.ok(
hasCall,
"startCleanupScheduler() should be called in instrumentation-node.ts"
);
});
});

View File

@@ -1,92 +0,0 @@
/**
* Issue #9625 — domain_cost_history cleanup cutoff unit mismatch.
*
* cleanupDomainCostHistory() computes the cutoff in epoch seconds
* (Math.floor(Date.now() / 1000)) but the timestamp column stores
* epoch milliseconds (Date.now()), as inserted by saveCostEntry().
*
* This test seeds data using the same format as the production code
* (milliseconds), then asserts that cleanupDomainCostHistory() correctly
* deletes rows older than the retention window.
*
* Before the fix, the cutoff in seconds was ~1000× smaller than the
* stored timestamps, so the DELETE WHERE timestamp < cutoff would
* never match old rows — the cleanup was effectively a no-op.
*/
import test from "node:test";
import assert from "node:assert/strict";
import fs from "node:fs";
import os from "node:os";
import path from "node:path";
const TEST_DATA_DIR = fs.mkdtempSync(path.join(os.tmpdir(), "omniroute-9625-"));
process.env.DATA_DIR = TEST_DATA_DIR;
const { cleanupDomainCostHistory } = await import("../../src/lib/db/cleanup.ts");
const { getDbInstance, resetDbInstance } = await import("../../src/lib/db/core.ts");
test.after(() => {
resetDbInstance();
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
});
const DAY_MS = 86_400_000; // milliseconds
test("#9625 cleanupDomainCostHistory: cutoff in ms matches production timestamps", async () => {
const db = getDbInstance()!;
const now = Date.now(); // milliseconds — same as saveCostEntry() default
const insert = db.prepare(
"INSERT INTO domain_cost_history (api_key_id, cost, timestamp) VALUES (?, ?, ?)"
);
// Seed data using millisecond timestamps (production format).
// 3 old rows: 40 days ago (should be deleted)
// 2 recent rows: 5 days ago (should be kept)
insert.run("key1", 1.0, now - 40 * DAY_MS);
insert.run("key1", 2.0, now - 40 * DAY_MS);
insert.run("key1", 3.0, now - 40 * DAY_MS);
insert.run("key1", 4.0, now - 5 * DAY_MS);
insert.run("key1", 5.0, now - 5 * DAY_MS);
const result = await cleanupDomainCostHistory();
// Before the fix, cutoff was in seconds (~1.7e9) while timestamps
// are in milliseconds (~1.7e12). The comparison `WHERE ts < 1.7e9`
// would never match rows with ts ~1.7e12, so nothing was deleted.
assert.strictEqual(result.deleted, 3, "Should delete 3 old rows (40 days old)");
assert.strictEqual(result.errors, 0);
const remaining = db.prepare("SELECT COUNT(*) as cnt FROM domain_cost_history").get() as {
cnt: number;
};
assert.strictEqual(remaining.cnt, 2, "Should keep 2 recent rows (5 days old)");
});
test("#9625 unit mismatch: seconds cutoff would NOT match ms timestamps", () => {
// Demonstrate the arithmetic bug: a cutoff in seconds is ~1000×
// smaller than a millisecond timestamp, so the WHERE clause never
// matches production data.
const nowMs = Date.now();
const nowSec = Math.floor(nowMs / 1000);
const retentionDays = 30;
const cutoffSec = nowSec - retentionDays * 86_400; // seconds
const cutoffMs = nowMs - retentionDays * 86_400_000; // milliseconds
// A row inserted 40 days ago with a millisecond timestamp:
const oldRowMs = nowMs - 40 * 86_400_000; // ~1.7e12
// With seconds cutoff: oldRowMs (1.7e12) < cutoffSec (1.7e9) is FALSE
// because 1.7e12 > 1.7e9 — the row is never matched.
assert.ok(
oldRowMs > cutoffSec,
"Bug: ms timestamp is NOT less than seconds cutoff, so row is never deleted"
);
// With milliseconds cutoff: oldRowMs (1.7e12) < cutoffMs (1.7e12) is TRUE
assert.ok(
oldRowMs < cutoffMs,
"Fix: ms timestamp IS less than ms cutoff, so row is correctly deleted"
);
});

View File

@@ -1,27 +0,0 @@
import test from "node:test";
import assert from "node:assert/strict";
import { readFileSync } from "node:fs";
const pkg = JSON.parse(readFileSync("package.json", "utf-8"));
const files = pkg.files || [];
// #9633: `build-next-isolated.mjs` is published (fixed in #1126), but three of
// its sibling modules it imports were missing from the `files` whitelist, so
// `npm run build` on a globally-installed package crashed with ERR_MODULE_NOT_FOUND.
// The dynamic import of `build-tproxy-native.mjs` (~line 308) and the static
// imports of `assembleStandalone.mjs` / `backendOnlyPages.mjs` must ship too.
const NEEDED = [
"scripts/build/assembleStandalone.mjs",
"scripts/build/backendOnlyPages.mjs",
"scripts/build/build-tproxy-native.mjs",
"scripts/build/colocateOptionals.mjs",
];
test("#9633: build-next-isolated.mjs sibling imports present in package.json files[]", () => {
for (const needed of NEEDED) {
assert.ok(
files.some((f) => typeof f === "string" && f === needed),
`${needed} is not in package.json files[]`
);
}
});

View File

@@ -452,13 +452,7 @@ test("v1 search POST returns 400 when auto-select finds no configured provider (
const body = (await response.json()) as any;
assert.equal(response.status, 400);
assert.equal(capturedUrl, "", "fallback-only SearXNG must not receive an upstream request");
assert.ok(body.error?.message || body.error);
assert.match(
String(body.error?.message ?? body.error),
/provider|configured/i,
"the response must explain that no provider was selected"
);
} finally {
globalThis.fetch = originalFetch;
}

View File

@@ -47,8 +47,7 @@ test.after(() => {
fs.rmSync(TEST_DATA_DIR, { recursive: true, force: true });
});
const DAY_SECONDS = 86_400;
const DAY_MS = 86_400_000;
const DAY = 86_400; // seconds
/** Ensure compression_run_telemetry table exists (created lazily in production). */
function ensureTelemetryTable(): void {
@@ -72,34 +71,21 @@ function ensureTelemetryTable(): void {
`);
}
test.beforeEach(() => {
ensureTelemetryTable();
const db = getDbInstance()!;
for (const table of [
"domain_cost_history",
"compression_cache_stats",
"xp_audit_log",
"compression_run_telemetry",
]) {
db.exec(`DELETE FROM ${table}`);
}
});
// ─── Tests ───────────────────────────────────────────────────────────────
test("#6848 cleanupDomainCostHistory: deletes rows older than retention window", async () => {
const db = getDbInstance()!;
const now = Date.now();
const now = Math.floor(Date.now() / 1000);
const insert = db.prepare(
"INSERT INTO domain_cost_history (api_key_id, cost, timestamp) VALUES (?, ?, ?)"
);
// 3 old (40 days ago), 2 recent (5 days ago)
insert.run("key1", 1.0, now - 40 * DAY_MS);
insert.run("key1", 2.0, now - 40 * DAY_MS);
insert.run("key1", 3.0, now - 40 * DAY_MS);
insert.run("key1", 4.0, now - 5 * DAY_MS);
insert.run("key1", 5.0, now - 5 * DAY_MS);
insert.run("key1", 1.0, now - 40 * DAY);
insert.run("key1", 2.0, now - 40 * DAY);
insert.run("key1", 3.0, now - 40 * DAY);
insert.run("key1", 4.0, now - 5 * DAY);
insert.run("key1", 5.0, now - 5 * DAY);
const result = await cleanupDomainCostHistory();
@@ -114,8 +100,8 @@ test("#6848 cleanupDomainCostHistory: deletes rows older than retention window",
test("#6848 cleanupCompressionCacheStats: deletes rows older than retention window", async () => {
const db = getDbInstance()!;
const oldDate = new Date(Date.now() - 40 * DAY_MS).toISOString();
const recentDate = new Date(Date.now() - 5 * DAY_MS).toISOString();
const oldDate = new Date(Date.now() - 40 * DAY * 1000).toISOString();
const recentDate = new Date(Date.now() - 5 * DAY * 1000).toISOString();
const insert = db.prepare(
"INSERT INTO compression_cache_stats (provider, compression_mode, created_at) VALUES (?, ?, ?)"
);
@@ -137,8 +123,8 @@ test("#6848 cleanupCompressionCacheStats: deletes rows older than retention wind
test("#6848 cleanupXpAuditLog: deletes rows older than retention window", async () => {
const db = getDbInstance()!;
const oldDate = new Date(Date.now() - 40 * DAY_MS).toISOString();
const recentDate = new Date(Date.now() - 5 * DAY_MS).toISOString();
const oldDate = new Date(Date.now() - 40 * DAY * 1000).toISOString();
const recentDate = new Date(Date.now() - 5 * DAY * 1000).toISOString();
const insert = db.prepare(
"INSERT INTO xp_audit_log (api_key_id, action, xp_earned, created_at) VALUES (?, ?, ?, ?)"
);
@@ -160,15 +146,14 @@ test("#6848 cleanupXpAuditLog: deletes rows older than retention window", async
test("#6848 cleanupCompressionRunTelemetry: deletes rows older than retention window", async () => {
ensureTelemetryTable();
const db = getDbInstance()!;
const now = Date.now();
const nowSeconds = Math.floor(now / 1000);
const now = Math.floor(Date.now() / 1000);
const insert = db.prepare(
"INSERT INTO compression_run_telemetry (timestamp, tokens_before, tokens_after) VALUES (?, ?, ?)"
);
insert.run(nowSeconds - 40 * DAY_SECONDS, 1000, 500);
insert.run(nowSeconds - 40 * DAY_SECONDS, 2000, 800);
insert.run(nowSeconds - 5 * DAY_SECONDS, 1500, 600);
insert.run(now - 40 * DAY, 1000, 500);
insert.run(now - 40 * DAY, 2000, 800);
insert.run(now - 5 * DAY, 1500, 600);
const result = await cleanupCompressionRunTelemetry();
@@ -184,14 +169,13 @@ test("#6848 cleanupCompressionRunTelemetry: deletes rows older than retention wi
test("#6848 no rows deleted when all data is within retention window (calls all 4 real functions)", async () => {
ensureTelemetryTable();
const db = getDbInstance()!;
const nowSeconds = Math.floor(Date.now() / 1000);
const nowMilliseconds = Date.now();
const now = Math.floor(Date.now() / 1000);
const recentISO = new Date().toISOString();
db.prepare("INSERT INTO domain_cost_history (api_key_id, cost, timestamp) VALUES (?, ?, ?)").run(
"k",
1,
nowMilliseconds - DAY_MS
now - DAY
);
db.prepare(
"INSERT INTO compression_cache_stats (provider, compression_mode, created_at) VALUES (?, ?, ?)"
@@ -201,7 +185,7 @@ test("#6848 no rows deleted when all data is within retention window (calls all
).run("k", "a", 5, recentISO);
db.prepare(
"INSERT INTO compression_run_telemetry (timestamp, tokens_before, tokens_after) VALUES (?, ?, ?)"
).run(nowSeconds - DAY_SECONDS, 100, 50);
).run(now - DAY, 100, 50);
const r1 = await cleanupDomainCostHistory();
const r2 = await cleanupCompressionCacheStats();

View File

@@ -200,16 +200,6 @@ test("Claude -> Gemini omits unsigned functionCall instead of injecting a fake t
false,
"signature-less tool_use must not become a native functionCall"
);
assert.equal(
JSON.stringify(result).includes('"thoughtSignature"'),
false,
"the translator must not synthesize a fake thought signature"
);
assert.equal(
JSON.stringify(result).includes("read_file"),
false,
"the omitted unsigned call must not leak its tool payload elsewhere"
);
});
test("Claude -> Gemini sanitizes long tool names and exposes a restore map", () => {

View File

@@ -1,7 +1,6 @@
import test from "node:test";
import assert from "node:assert/strict";
import { openaiResponsesToOpenAIRequest } from "../../open-sse/translator/request/openai-responses.ts";
import { detectSupportedThinkingEfforts } from "../../src/lib/providerModels/modelDiscovery.ts";
function asRecord(value: unknown): Record<string, unknown> {
return value as Record<string, unknown>;
@@ -43,6 +42,7 @@ test("non-GPT-5.6 models still get max downgraded to xhigh", () => {
)
);
assert.equal(translated.reasoning_effort, "xhigh");
<<<<<<< HEAD
});
// ─────────────────────────────────────────────────────────────────────
@@ -61,9 +61,12 @@ test("#9142 Anthropic top-level system prompts must trigger background detection
"system_prompt_pattern"
);
});
=======
// #9140 — VS Code routes filter out built-in auto models
const { isUsableChatModel } =
await import("../../src/app/api/v1/vscode/[token]/usableChatModel.ts");
const { isUsableChatModel } = await import(
"../../src/app/api/v1/vscode/[token]/usableChatModel.ts"
);
test("#9140 VS Code listing must accept built-in auto routing entries", () => {
assert.equal(
@@ -76,9 +79,14 @@ test("#9140 VS Code listing must accept built-in auto routing entries", () => {
false,
"operator-created combo should still be rejected"
);
>>>>>>> origin/release/v3.8.50
});
// ── #9160 model discovery: capabilities.effort_tiers ────────────────────────
// #9160: model discovery must ingest capabilities.effort_tiers
test("#9160 model discovery must ingest capabilities.effort_tiers", () => {
assert.deepEqual(
detectSupportedThinkingEfforts({
@@ -95,4 +103,4 @@ test("#9160 capabilities.effort_tiers with duplicate and synonym", () => {
}),
["low", "xhigh"]
);
});

View File

@@ -22,12 +22,16 @@ const extract = extractCiGates as (
) => { id: string; job: string; args: string[]; env?: Record<string, string> }[];
test("eslintCounts sums errors + warnings across files", () => {
const parsed = [{ errorCount: 2, warningCount: 5 }, { errorCount: 0, warningCount: 3 }, {}];
const parsed = [
{ errorCount: 2, warningCount: 5 },
{ errorCount: 0, warningCount: 3 },
{},
];
assert.deepEqual(eslintCounts(parsed), { errors: 2, warnings: 8 });
});
test("parseEslintJson tolerates a leading non-JSON banner", () => {
const out = 'npm warn something\n[{"errorCount":0,"warningCount":1}]';
const out = "npm warn something\n[{\"errorCount\":0,\"warningCount\":1}]";
assert.deepEqual(parseEslintJson(out), [{ errorCount: 0, warningCount: 1 }]);
assert.equal(parseEslintJson("no json here"), null);
});
@@ -48,14 +52,8 @@ test("parseEslintJson tolerates ESLint's trailing unpruned-suppressions stderr s
});
test("parseCognitiveCount reads the gate's count (en + pt)", () => {
assert.equal(
parseCognitiveCount("[cognitive-complexity] 797 function(s) exceed the threshold (15)."),
797
);
assert.equal(
parseCognitiveCount("[cognitive-complexity] REGRESSÃO — 801 violações > baseline 797"),
801
);
assert.equal(parseCognitiveCount("[cognitive-complexity] 797 function(s) exceed the threshold (15)."), 797);
assert.equal(parseCognitiveCount("[cognitive-complexity] REGRESSÃO — 801 violações > baseline 797"), 801);
assert.equal(parseCognitiveCount("no number"), null);
});
@@ -177,16 +175,8 @@ test("pre-flight wires the test-masking PR-context gate against origin/main (v3.
);
// run() must honor a per-gate env override so GITHUB_BASE_REF actually reaches the child
// (routed through buildGateEnv since the --hermetic scrub was added).
assert.match(
src,
/env:\s*buildGateEnv\(opts\.env\)/,
"run() must merge opts.env into the child env"
);
assert.match(
src,
/\.\.\.\(extra \|\| \{\}\)/,
"buildGateEnv must spread the per-gate env override"
);
assert.match(src, /env:\s*buildGateEnv\(opts\.env\)/, "run() must merge opts.env into the child env");
assert.match(src, /\.\.\.\(extra \|\| \{\}\)/, "buildGateEnv must spread the per-gate env override");
});
test("pre-flight --hermetic scrubs the live-test trigger vars (2026-07-05 false-positive fix)", async () => {
@@ -224,27 +214,6 @@ test("pre-flight runs the slow suites CONCURRENTLY (v3.8.45 perf — was ~1h ser
assert.match(src, /slow\.forEach\([\s\S]*?saveGateLog\(g\.id/, "each slow gate persists its log");
});
test("pre-flight runs tarball boot only after the package artifact builder completes", async () => {
const fs = await import("node:fs");
const src = fs.readFileSync(
new URL("../../scripts/quality/validate-release-green.mjs", import.meta.url),
"utf8"
);
const parallelWave = src.indexOf("const slowResults = await Promise.all");
const packBoot = src.indexOf('id: "pack-boot"');
assert.ok(parallelWave >= 0, "the parallel slow-gate wave must exist");
assert.ok(
packBoot > parallelWave,
"pack-boot must be declared after the parallel artifact build"
);
assert.match(
src,
/packArtifactResult[\s\S]*?check:pack-boot/,
"pack-boot must be explicitly sequenced from the package-artifact result"
);
});
// ─── --full-ci gate extraction (P0, v3.8.46 post-mortem) ─────────────────────
const CI_FIXTURE = `
@@ -290,11 +259,7 @@ test("extractCiGates: pulls npm-run gate steps from the ci.yml gate jobs only",
assert.ok(ids.includes("check:docs-all") && ids.includes("check:docs-symbols"), "multi-line run");
// …and NON-gate steps + jobs outside the gate set are ignored.
assert.ok(!ids.includes("build") && !ids.some((i) => i.startsWith("test:")), "no build/test-run");
assert.equal(
gates.find((g) => g.job === "test-unit"),
undefined,
"test-unit job is not scanned"
);
assert.equal(gates.find((g) => g.job === "test-unit"), undefined, "test-unit job is not scanned");
});
test("extractCiGates: preserves `-- <args>` so ratchet flags reach the script", () => {
@@ -307,10 +272,7 @@ test("extractCiGates: preserves `-- <args>` so ratchet flags reach the script",
test("extractCiGates: skips the non-local gates (pr-evidence, codeql-ratchet)", () => {
const ids = extract(CI_FIXTURE).map((g) => g.id);
assert.ok(!ids.includes("check:pr-evidence"), "pr-evidence needs a PR body — skipped");
assert.ok(
!ids.includes("check:codeql-ratchet"),
"codeql-ratchet is a remote-main check — skipped"
);
assert.ok(!ids.includes("check:codeql-ratchet"), "codeql-ratchet is a remote-main check — skipped");
assert.ok(FULL_CI_SKIP.has("check:pr-evidence") && FULL_CI_SKIP.has("check:codeql-ratchet"));
});
@@ -333,7 +295,10 @@ test("extractCiGates: attaches GITHUB_BASE_REF=main env to test-masking + de-dup
test("extractCiGates: the REAL ci.yml yields the base-reds that leaked in v3.8.46", async () => {
const fs = await import("node:fs");
const yaml = fs.readFileSync(new URL("../../.github/workflows/ci.yml", import.meta.url), "utf8");
const yaml = fs.readFileSync(
new URL("../../.github/workflows/ci.yml", import.meta.url),
"utf8"
);
const ids = new Set(extract(yaml).map((g) => g.id));
// The exact gates that leaked to the v3.8.46 release PR because the pre-flight
// never ran them — --full-ci now reproduces every one.