fix(POSTV1-02): 接通真实AI生成链路

apps/api/src/main.ts

@@ -16,7 +16,7 @@ import { MockResendAdapter } from "./resend-adapter.js";
 import { readSecureConfigCandidate } from "./secure-config.js";
 import { StructuredJsonlLogger } from "./structured-log.js";
 import { attachApiSupervisorControl, initializeApiCredentialClients, receiveApiCredentials } from "./supervisor-channel.js";
-import { ModelConfigurationService } from "./model-configuration.js";
+import { ModelConfigurationService, portableRuntimeModelCandidates } from "./model-configuration.js";
 import { MockAmapAdapter, type AmapAdapter } from "./amap-adapter.js";
 import { StickerReleaseService } from "./sticker-releases.js";
 import { createAdminDiagnosticsProvider, createAdminServicesStorageProvider } from "./admin-state.js";
@@ -56,7 +56,7 @@ if (credentialChannelEnabled) {
     storage = new ManagedStorage({ dataRoot, databasePath });
     stickers = new StickerReleaseService({ databasePath, storage });
     latestExports = new LatestExportService({ databasePath, storage });
-    models = new ModelConfigurationService({ database: registration.database });
+    models = new ModelConfigurationService({ database: registration.database, seedCandidates: portableRuntimeModelCandidates });
     recentAssets = new RecentAssetService({ database: registration.database });
     registration.applySecureConfig(readSecureConfigCandidate(instanceConfigPath));
   } catch (error) {

apps/api/src/model-configuration.ts

@@ -111,7 +111,7 @@ const defaultErrorMapping: Record<string, string> = {
   upstream_timeout: "upstream_timeout",
 };
 
-const seedCandidates: ModelConfigCandidate[] = [
+const defaultSeedCandidates: ModelConfigCandidate[] = [
   {
     model_id: modelIds[0], display_name: "Gemini 3.1 Flash Image Preview", enabled: true, is_default: true,
     recommendation_priority: 1, route_profile: { endpoint: "https://mock.invalid/v1/images", mode: "sync" },
@@ -138,6 +138,42 @@ const seedCandidates: ModelConfigCandidate[] = [
   },
 ];
 
+export const portableRuntimeModelCandidates: ModelConfigCandidate[] = [
+  {
+    ...defaultSeedCandidates[0]!,
+    display_name: "Gemini 3.1 Flash Image",
+    route_profile: {
+      endpoint: "https://oneapi.intelligrow.cn/v1/chat/completions",
+      mode: "sync",
+      protocol_version: "gemini-openai-chat-v1",
+      provider_model_id: "gemini-3.1-flash-image",
+    },
+    gateway_account_ref: "oneapi-intelligrow-test",
+    contract_validation_status: "verified",
+    contract_evidence_ref: "contract:wp7-02:gemini-3.1-flash-image:v7",
+  },
+  {
+    ...defaultSeedCandidates[1]!,
+    enabled: false,
+    route_profile: { endpoint: "https://oneapi.intelligrow.cn/unsupported", mode: "disabled" },
+    gateway_account_ref: "oneapi-intelligrow-test",
+    contract_validation_status: "unverified",
+    contract_evidence_ref: null,
+  },
+  {
+    ...defaultSeedCandidates[2]!,
+    route_profile: {
+      endpoint: "https://oneapi.intelligrow.cn/v1/images/generations",
+      mode: "sync",
+      protocol_version: "openai-images-v1",
+      reference_endpoint: "https://oneapi.intelligrow.cn/v1/images/edits",
+    },
+    gateway_account_ref: "oneapi-intelligrow-test",
+    contract_validation_status: "verified",
+    contract_evidence_ref: "contract:wp7-02:gpt-image-2:v2",
+  },
+];
+
 function stableJson(value: unknown): string {
   if (Array.isArray(value)) return `[${value.map(stableJson).join(",")}]`;
   if (value && typeof value === "object") {
@@ -207,17 +243,20 @@ export interface ModelConfigurationServiceOptions {
   clock?: () => number;
   database: BetterSqlite3.Database;
   onChanged?: (configSetVersion: number) => void;
+  seedCandidates?: ModelConfigCandidate[];
 }
 
 export class ModelConfigurationService {
   readonly database: BetterSqlite3.Database;
   readonly #clock: () => number;
   readonly #onChanged: ((configSetVersion: number) => void) | undefined;
+  readonly #seedCandidates: ModelConfigCandidate[];
 
   constructor(options: ModelConfigurationServiceOptions) {
     this.database = options.database;
     this.#clock = options.clock ?? Date.now;
     this.#onChanged = options.onChanged;
+    this.#seedCandidates = structuredClone(options.seedCandidates ?? defaultSeedCandidates);
     this.ensureSchema();
   }
 
@@ -503,7 +542,7 @@ export class ModelConfigurationService {
     const current = this.database.prepare("SELECT config_set_id FROM model_config_current WHERE singleton = 1").get() as { config_set_id: string } | undefined;
     if (current) return;
     const seed = this.database.transaction(() => {
-      validateModelConfigurationCandidateSet(seedCandidates);
+      validateModelConfigurationCandidateSet(this.#seedCandidates);
       const now = this.#clock();
       const setId = randomUUID();
       this.database.prepare("INSERT INTO model_config_sets (config_set_id, config_set_version, created_at, created_by) VALUES (?, 1, ?, 'system_seed')")
@@ -520,7 +559,9 @@ export class ModelConfigurationService {
         INSERT INTO model_config_set_members (config_set_id, model_id, config_version, enabled, is_default, recommendation_priority)
         VALUES (?, ?, 1, ?, ?, ?)
       `);
-      for (const candidate of seedCandidates) {
+      for (const candidate of this.#seedCandidates) {
+        const contractStatus = candidate.contract_validation_status ?? "unverified";
+        const contractEvidenceRef = contractStatus === "unverified" ? null : candidate.contract_evidence_ref ?? null;
         const routeProfileId = profileRef("route", candidate.route_profile);
         const errorMappingProfileId = profileRef("error", candidate.error_mapping_profile);
         this.database.prepare("INSERT OR IGNORE INTO gateway_route_profiles (route_profile_id, profile_json, created_at) VALUES (?, ?, ?)")
@@ -530,12 +571,14 @@ export class ModelConfigurationService {
         insertVersion.run(candidate.model_id, candidate.display_name, candidate.enabled ? 1 : 0, candidate.is_default ? 1 : 0,
           candidate.recommendation_priority, routeProfileId, stableJson(candidate.route_profile), candidate.gateway_account_ref,
           errorMappingProfileId, stableJson(candidate.error_mapping_profile), candidate.credit_cost, stableJson(candidate.supported_ratios), stableJson(candidate.reference_limits),
-          candidate.prompt_max_length, candidate.safety_source, "unverified", null, fingerprint(candidate), now);
+          candidate.prompt_max_length, candidate.safety_source, contractStatus, contractEvidenceRef, fingerprint(candidate), now);
         insertMember.run(setId, candidate.model_id, candidate.enabled ? 1 : 0, candidate.is_default ? 1 : 0, candidate.recommendation_priority);
+        const available = candidate.enabled && contractStatus === "verified";
+        const runtimeReason = !candidate.enabled ? "configured_disabled" : available ? "available" : "contract_unverified";
         this.database.prepare(`
           INSERT INTO model_runtime_availability (model_id, available_for_new_jobs, reason, checked_at, runtime_availability_version)
-          VALUES (?, 0, 'contract_unverified', ?, 0)
+          VALUES (?, ?, ?, ?, 0)
-        `).run(candidate.model_id, now);
+        `).run(candidate.model_id, available ? 1 : 0, runtimeReason, now);
       }
       this.database.prepare("INSERT INTO model_config_current (singleton, config_set_id) VALUES (1, ?)").run(setId);
     });

apps/worker/src/ai-adapter-contract.ts

@@ -7,6 +7,11 @@ export interface GenerationAdapterRequest {
   prompt: string;
   ratio: "3:4" | "1:1" | "4:3" | "9:16";
   referenceAssetIds: readonly string[];
+  referenceImages?: readonly {
+    assetId: string;
+    bytes: Buffer;
+    mimeType: "image/jpeg" | "image/png" | "image/webp";
+  }[];
 }
 
 export interface NormalizedGenerationOutput {
@@ -27,6 +32,7 @@ export type GenerationAdapterResult =
     };
 
 export interface GenerationAdapter {
+  dispose?(): void;
   start(request: GenerationAdapterRequest): Promise<GenerationAdapterResult>;
   poll?(upstreamJobReference: string): Promise<GenerationAdapterResult>;
 }

apps/worker/src/generation-processor.ts

@@ -1,11 +1,11 @@
 import { createHash, randomUUID } from "node:crypto";
-import { existsSync, mkdirSync, renameSync, rmSync, writeFileSync } from "node:fs";
+import { existsSync, mkdirSync, readFileSync, renameSync, rmSync, statSync, writeFileSync } from "node:fs";
-import { dirname, join, resolve } from "node:path";
+import { dirname, isAbsolute, join, relative, resolve, sep } from "node:path";
 
 import Database from "better-sqlite3";
 import type BetterSqlite3 from "better-sqlite3";
 
-import type { GenerationAdapter, GenerationAdapterResult, NormalizedGenerationOutput } from "./ai-adapter-contract.js";
+import type { GenerationAdapter, GenerationAdapterRequest, GenerationAdapterResult, NormalizedGenerationOutput } from "./ai-adapter-contract.js";
 import { GatewayBalanceRuntime } from "./gateway-balance-runtime.js";
 import { generationErrorRegistry, type GenerationErrorCategory } from "./generation-error-registry.js";
 import { configureWorkerDatabase } from "./sqlite-connection.js";
@@ -120,6 +120,7 @@ export class GenerationProcessor {
         .run("worker_stopped", now, this.workerId);
     });
     this.gatewayBalance.close();
+    this.adapter.dispose?.();
     this.database.close();
   }
 
@@ -144,6 +145,12 @@ export class GenerationProcessor {
       SELECT managed_file_id FROM generation_reference_snapshots WHERE generation_id = ? ORDER BY position
     `).all(generationId) as Array<{ managed_file_id: string }>;
     let adapterResult: GenerationAdapterResult;
+    let referenceImages: NonNullable<GenerationAdapterRequest["referenceImages"]>;
+    try {
+      referenceImages = this.loadReferenceImages(references.map((row) => row.managed_file_id));
+    } catch {
+      return this.completeFailure(job, "reference_invalid", "reference_load_failed");
+    }
     try {
       if (job.upstream_job_reference) {
         if (!this.adapter.poll) return this.completeFailure(job, "unknown_retryable", "poll_unsupported", undefined, false, "pending_manual_review");
@@ -156,10 +163,13 @@ export class GenerationProcessor {
             prompt: job.prompt,
             ratio: job.ratio,
             referenceAssetIds: references.map((row) => row.managed_file_id),
+            referenceImages,
           }));
       }
     } catch {
       return this.completeFailure(job, "unknown_retryable", "adapter_exception", undefined, false, "pending_manual_review");
+    } finally {
+      for (const reference of referenceImages) reference.bytes.fill(0);
     }
 
     if (adapterResult.status === "failed") return this.completeFailure(job, adapterResult.category, adapterResult.sourceCategory, adapterResult.balanceSignal);
@@ -175,6 +185,29 @@ export class GenerationProcessor {
     }
   }
 
+  private loadReferenceImages(referenceAssetIds: string[]): NonNullable<GenerationAdapterRequest["referenceImages"]> {
+    return referenceAssetIds.map((assetId) => {
+      const row = this.database.prepare(`
+        SELECT relative_path, mime_type FROM managed_files
+        WHERE file_id = ? AND file_kind = 'reference' AND status = 'committed'
+      `).get(assetId) as { mime_type: string; relative_path: string } | undefined;
+      if (!row || !["image/jpeg", "image/png", "image/webp"].includes(row.mime_type) || isAbsolute(row.relative_path)) {
+        throw new Error("reference_invalid");
+      }
+      const path = resolve(this.dataRoot, row.relative_path);
+      const child = relative(this.dataRoot, path);
+      if (!child || child === ".." || child.startsWith(`..${sep}`) || isAbsolute(child)
+        || !existsSync(path) || !statSync(path).isFile()) {
+        throw new Error("reference_invalid");
+      }
+      return {
+        assetId,
+        bytes: readFileSync(path),
+        mimeType: row.mime_type as "image/jpeg" | "image/png" | "image/webp",
+      };
+    });
+  }
+
   private claim(generationId: string) {
     return this.immediate(() => {
       const row = this.readJob(generationId);

apps/worker/src/oneapi-generation-adapter.ts

@@ -0,0 +1,217 @@
+import sharp from "sharp";
+
+import type {
+  GenerationAdapter,
+  GenerationAdapterRequest,
+  GenerationAdapterResult,
+  NormalizedGenerationOutput,
+} from "./ai-adapter-contract.js";
+import { gptImageRequestSizeForRatio, normalizeImageOutputToRatio } from "./image-output-normalizer.mjs";
+
+const geminiProductModelId = "gemini-3.1-flash-image-preview";
+const geminiProviderModelId = "gemini-3.1-flash-image";
+const gptImageModelId = "gpt-image-2";
+const geminiEndpoint = "https://oneapi.intelligrow.cn/v1/chat/completions";
+const gptImageEndpoint = "https://oneapi.intelligrow.cn/v1/images/generations";
+const gptImageReferenceEndpoint = "https://oneapi.intelligrow.cn/v1/images/edits";
+const maximumResponseBytes = 32 * 1024 * 1024;
+const requestTimeoutMilliseconds = 180_000;
+
+type FetchLike = typeof fetch;
+
+class OneApiRuntimeError extends Error {
+  constructor(
+    readonly category: "gateway_balance_insufficient" | "gateway_contract_invalid" | "model_disabled" | "reference_invalid" | "upstream_failed" | "upstream_timeout" | "unknown_non_retryable",
+    readonly sourceCategory: string,
+  ) {
+    super(sourceCategory);
+  }
+}
+
+function failure(error: unknown): GenerationAdapterResult {
+  if (error instanceof OneApiRuntimeError) {
+    return { category: error.category, sourceCategory: error.sourceCategory, status: "failed" };
+  }
+  if (error instanceof Error && error.name === "AbortError") {
+    return { category: "upstream_timeout", sourceCategory: "upstream_timeout", status: "failed" };
+  }
+  return { category: "upstream_failed", sourceCategory: "upstream_failed", status: "failed" };
+}
+
+function mapHttpFailure(status: number) {
+  if (status === 408 || status === 504) return new OneApiRuntimeError("upstream_timeout", `upstream_http_${status}`);
+  if (status === 429) return new OneApiRuntimeError("gateway_balance_insufficient", "upstream_http_429");
+  if (status >= 500) return new OneApiRuntimeError("upstream_failed", `upstream_http_${status}`);
+  if (status === 400 || status === 404 || status === 422) return new OneApiRuntimeError("gateway_contract_invalid", `upstream_http_${status}`);
+  return new OneApiRuntimeError("unknown_non_retryable", `upstream_http_${status}`);
+}
+
+async function readBoundedJson(response: Response) {
+  const declaredLength = Number(response.headers.get("content-length") ?? 0);
+  if (Number.isFinite(declaredLength) && declaredLength > maximumResponseBytes) {
+    throw new OneApiRuntimeError("gateway_contract_invalid", "upstream_response_too_large");
+  }
+  if (!response.body) throw new OneApiRuntimeError("gateway_contract_invalid", "upstream_response_empty");
+  const reader = response.body.getReader();
+  const chunks: Buffer[] = [];
+  let total = 0;
+  try {
+    while (true) {
+      const next = await reader.read();
+      if (next.done) break;
+      const chunk = Buffer.from(next.value);
+      total += chunk.length;
+      if (total > maximumResponseBytes) {
+        await reader.cancel();
+        throw new OneApiRuntimeError("gateway_contract_invalid", "upstream_response_too_large");
+      }
+      chunks.push(chunk);
+    }
+    try {
+      return JSON.parse(Buffer.concat(chunks).toString("utf8")) as unknown;
+    } catch {
+      throw new OneApiRuntimeError("gateway_contract_invalid", "upstream_response_invalid");
+    }
+  } finally {
+    for (const chunk of chunks) chunk.fill(0);
+  }
+}
+
+function extractGeminiImage(response: unknown) {
+  if (!response || typeof response !== "object" || !("choices" in response) || !Array.isArray(response.choices)) {
+    throw new OneApiRuntimeError("gateway_contract_invalid", "response_shape_invalid");
+  }
+  const choice = response.choices[0];
+  const content = choice && typeof choice === "object" && "message" in choice && choice.message && typeof choice.message === "object"
+    && "content" in choice.message && typeof choice.message.content === "string" ? choice.message.content : "";
+  const matches = [...content.matchAll(/!\[[^\]]*\]\(\s*data:(image\/(?:jpeg|png|webp));base64,([A-Za-z0-9+/=\r\n]+)\s*\)/gi)];
+  if (matches.length !== 1) throw new OneApiRuntimeError("gateway_contract_invalid", "response_single_image_required");
+  return { bytes: Buffer.from(matches[0]![2]!, "base64"), declaredMimeType: matches[0]![1]!.toLowerCase() };
+}
+
+function extractGptImage(response: unknown) {
+  if (!response || typeof response !== "object" || !("data" in response) || !Array.isArray(response.data)
+    || response.data.length !== 1 || !response.data[0] || typeof response.data[0] !== "object"
+    || !("b64_json" in response.data[0]) || typeof response.data[0].b64_json !== "string") {
+    throw new OneApiRuntimeError("gateway_contract_invalid", "response_single_image_required");
+  }
+  return { bytes: Buffer.from(response.data[0].b64_json, "base64"), declaredMimeType: undefined };
+}
+
+async function normalizeOutput(bytes: Buffer, declaredMimeType: string | undefined, ratio: GenerationAdapterRequest["ratio"]): Promise<NormalizedGenerationOutput> {
+  try {
+    const metadata = await sharp(bytes, { failOn: "error", limitInputPixels: 40_000_000 }).metadata();
+    const mimeType = metadata.format === "png" ? "image/png" : metadata.format === "jpeg" ? "image/jpeg" : metadata.format === "webp" ? "image/webp" : undefined;
+    if (!mimeType || !metadata.width || !metadata.height || (declaredMimeType && declaredMimeType !== mimeType)) {
+      throw new OneApiRuntimeError("gateway_contract_invalid", "response_media_invalid");
+    }
+    const normalized = await normalizeImageOutputToRatio({ bytes, mimeType, pixelHeight: metadata.height, pixelWidth: metadata.width, ratio });
+    return { bytes: normalized.bytes, mimeType: normalized.mimeType, pixelHeight: normalized.pixelHeight, pixelWidth: normalized.pixelWidth };
+  } catch (error) {
+    if (error instanceof OneApiRuntimeError) throw error;
+    throw new OneApiRuntimeError("gateway_contract_invalid", "response_media_invalid");
+  }
+}
+
+function validateRequest(request: GenerationAdapterRequest) {
+  if (!request.prompt.trim() || request.prompt.length > 1_000) throw new OneApiRuntimeError("gateway_contract_invalid", "prompt_invalid");
+  const references = request.referenceImages ?? [];
+  if (references.length !== request.referenceAssetIds.length || references.length > 2) {
+    throw new OneApiRuntimeError("reference_invalid", "reference_count_invalid");
+  }
+  const totalBytes = references.reduce((total, reference) => total + reference.bytes.length, 0);
+  if (totalBytes > 20 * 1024 * 1024 || references.some((reference) => reference.bytes.length === 0 || reference.bytes.length > 10 * 1024 * 1024)) {
+    throw new OneApiRuntimeError("reference_invalid", "reference_size_invalid");
+  }
+  return references;
+}
+
+function buildRequest(request: GenerationAdapterRequest) {
+  const references = validateRequest(request);
+  if (request.modelId === geminiProductModelId) {
+    const content = references.length === 0
+      ? request.prompt
+      : [
+          { text: request.prompt, type: "text" },
+          ...references.map((reference) => ({
+            image_url: { url: `data:${reference.mimeType};base64,${reference.bytes.toString("base64")}` },
+            type: "image_url",
+          })),
+        ];
+    return {
+      body: JSON.stringify({
+        extra_body: { google: { image_config: { aspect_ratio: request.ratio, image_size: "1K" } } },
+        messages: [{ content, role: "user" }],
+        model: geminiProviderModelId,
+        stream: false,
+      }),
+      contentType: "application/json",
+      endpoint: geminiEndpoint,
+      parser: extractGeminiImage,
+    };
+  }
+  if (request.modelId !== gptImageModelId) throw new OneApiRuntimeError("model_disabled", "model_not_supported");
+  if (references.length > 0) {
+    const form = new FormData();
+    form.append("model", gptImageModelId);
+    form.append("prompt", request.prompt);
+    form.append("response_format", "b64_json");
+    form.append("size", gptImageRequestSizeForRatio(request.ratio));
+    references.forEach((reference, index) => form.append("image[]", new Blob([reference.bytes], { type: reference.mimeType }), `reference-${index + 1}.png`));
+    return { body: form, contentType: undefined, endpoint: gptImageReferenceEndpoint, parser: extractGptImage };
+  }
+  return {
+    body: JSON.stringify({ model: gptImageModelId, prompt: request.prompt, response_format: "b64_json", size: gptImageRequestSizeForRatio(request.ratio) }),
+    contentType: "application/json",
+    endpoint: gptImageEndpoint,
+    parser: extractGptImage,
+  };
+}
+
+export class OneApiGenerationAdapter implements GenerationAdapter {
+  private readonly credential: Buffer;
+  private readonly fetchImpl: FetchLike;
+  private disposed = false;
+
+  constructor(input: { credential: Buffer; fetch?: FetchLike }) {
+    if (input.credential.length < 8) throw new Error("ai_gateway_credential_invalid");
+    this.credential = Buffer.from(input.credential);
+    this.fetchImpl = input.fetch ?? fetch;
+  }
+
+  async start(request: GenerationAdapterRequest): Promise<GenerationAdapterResult> {
+    if (this.disposed) return { category: "upstream_failed", sourceCategory: "adapter_disposed", status: "failed" };
+    const controller = new AbortController();
+    const timeout = setTimeout(() => controller.abort(), requestTimeoutMilliseconds);
+    let sourceBytes: Buffer | undefined;
+    try {
+      const providerRequest = buildRequest(request);
+      const headers = new Headers({ authorization: `Bearer ${this.credential.toString("utf8")}` });
+      if (providerRequest.contentType) headers.set("content-type", providerRequest.contentType);
+      const response = await this.fetchImpl(providerRequest.endpoint, {
+        body: providerRequest.body,
+        headers,
+        method: "POST",
+        redirect: "error",
+        signal: controller.signal,
+      });
+      if (!response.ok) throw mapHttpFailure(response.status);
+      const parsed = await readBoundedJson(response);
+      const extracted = providerRequest.parser(parsed);
+      sourceBytes = extracted.bytes;
+      const output = await normalizeOutput(sourceBytes, extracted.declaredMimeType, request.ratio);
+      return { outputs: [output], status: "completed" };
+    } catch (error) {
+      return failure(error);
+    } finally {
+      clearTimeout(timeout);
+      sourceBytes?.fill(0);
+    }
+  }
+
+  dispose() {
+    if (this.disposed) return;
+    this.disposed = true;
+    this.credential.fill(0);
+  }
+}

apps/worker/src/supervisor-channel.ts

@@ -25,7 +25,13 @@ export async function receiveWorkerCredentials(input: NodeJS.ReadableStream = pr
 }
 
 export function initializeWorkerCredentialClient(credentials: Record<(typeof WORKER_CREDENTIALS)[number], string>) {
+  const value = credentials["Dada/P0A/worker/ai-gateway"];
+  try {
+    if (!value) throw new Error("worker_ai_gateway_not_configured");
+    return { aiGatewayCredential: Buffer.from(value, "utf8") };
+  } finally {
     for (const name of WORKER_CREDENTIALS) credentials[name] = "";
+  }
 }
 
 export function attachWorkerSupervisorControl(pipeName: string, shutdown: () => Promise<void> | void) {

apps/worker/src/worker.ts

@@ -2,8 +2,8 @@ import { parentPort } from "node:worker_threads";
 import { join } from "node:path";
 
 import { WorkerAiCallGate } from "./ai-call-gate.js";
-import { MockGenerationAdapter } from "./ai-adapter-contract.js";
 import { GenerationProcessor } from "./generation-processor.js";
+import { OneApiGenerationAdapter } from "./oneapi-generation-adapter.js";
 import { readConfiguredLocalDataRoot } from "./runtime-config.js";
 import { RetentionCleanup } from "./retention-cleanup.js";
 import { ProjectPurgeCleanup } from "./project-purge-cleanup.js";
@@ -24,7 +24,7 @@ if (workerPort) {
 }
 
 if (!workerPort && process.argv.includes("--dada-credential-stdin")) {
-  initializeWorkerCredentialClient(await receiveWorkerCredentials());
+  const credentialClient = initializeWorkerCredentialClient(await receiveWorkerCredentials());
   const controlPipeIndex = process.argv.indexOf("--dada-control-pipe");
   const controlPipe = process.argv[controlPipeIndex + 1];
   if (controlPipeIndex < 0 || !controlPipe) throw new Error("Supervisor control pipe name is required.");
@@ -51,15 +51,13 @@ if (!workerPort && process.argv.includes("--dada-credential-stdin")) {
     storage = new WorkerStorageStatus(databasePath);
     retention = new RetentionCleanup({ databasePath });
     projectCleanup = new ProjectPurgeCleanup({ dataRoot, databasePath });
-    processor = new GenerationProcessor({
+    let adapter: OneApiGenerationAdapter;
-      adapter: new MockGenerationAdapter({
+    try {
-        status: "completed",
+      adapter = new OneApiGenerationAdapter({ credential: credentialClient.aiGatewayCredential });
-        outputs: [{ bytes: Buffer.from("iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=", "base64"), mimeType: "image/png", pixelWidth: 1080, pixelHeight: 1440 }],
+    } finally {
-      }),
+      credentialClient.aiGatewayCredential.fill(0);
-      dataRoot,
+    }
-      databasePath,
+    processor = new GenerationProcessor({ adapter, dataRoot, databasePath, workerId: `portable-oneapi-worker-${process.pid}` });
-      workerId: `portable-mock-worker-${process.pid}`,
-    });
     const runRetentionCleanup = () => {
       try {
         retention?.purgeExpired();

tests/api/postv1-runtime-models.test.ts

@@ -0,0 +1,44 @@
+import { createRequire } from "node:module";
+import { describe, expect, it } from "vitest";
+
+import {
+  ModelConfigurationService,
+  portableRuntimeModelCandidates,
+} from "../../apps/api/src/model-configuration.js";
+
+const requireFromApi = createRequire(new URL("../../apps/api/package.json", import.meta.url));
+const Database = requireFromApi("better-sqlite3") as new (path: string) => {
+  close(): void;
+};
+
+describe("POSTV1-02 portable runtime model seed", () => {
+  it("enables only models backed by the real OneAPI contract", () => {
+    const database = new Database(":memory:");
+    try {
+      const models = new ModelConfigurationService({ database, seedCandidates: portableRuntimeModelCandidates }).read();
+      const flash = models.models.find((model) => model.model_id === "gemini-3.1-flash-image-preview");
+      const pro = models.models.find((model) => model.model_id === "gemini-3-pro-image-preview");
+      const gpt = models.models.find((model) => model.model_id === "gpt-image-2");
+
+      expect(models.configured_default_model_id).toBe("gemini-3.1-flash-image-preview");
+      expect(flash).toMatchObject({
+        contract_validation_status: "verified",
+        enabled: true,
+        runtime_availability: { available_for_new_jobs: true, reason: "available" },
+      });
+      expect(flash?.route_profile).toMatchObject({ endpoint: "https://oneapi.intelligrow.cn/v1/chat/completions" });
+      expect(pro).toMatchObject({
+        contract_validation_status: "unverified",
+        enabled: false,
+        runtime_availability: { available_for_new_jobs: false, reason: "configured_disabled" },
+      });
+      expect(gpt).toMatchObject({
+        contract_validation_status: "verified",
+        enabled: true,
+        runtime_availability: { available_for_new_jobs: true, reason: "available" },
+      });
+    } finally {
+      database.close();
+    }
+  });
+});

tests/package/postv1-runtime.test.mjs

@@ -46,7 +46,10 @@ async function stop(child) {
 test("portable package serves the product and keeps SQLite data across API restart", async () => {
   assert.ok(existsSync(join(packageRoot, "Dada.exe")));
   assert.ok(existsSync(join(packageRoot, "web", "index.html")));
-  assert.match(await readFile(join(packageRoot, "server", "worker", "dist", "worker.js"), "utf8"), /GenerationProcessor/);
+  const packagedWorker = await readFile(join(packageRoot, "server", "worker", "dist", "worker.js"), "utf8");
+  assert.match(packagedWorker, /GenerationProcessor/);
+  assert.match(packagedWorker, /oneapi\.intelligrow\.cn/);
+  assert.doesNotMatch(packagedWorker, /portable-mock-worker/);
   const root = await mkdtemp(join(tmpdir(), "dada-postv1-"));
   const dataRoot = join(root, "data");
   const configPath = join(root, "instance.json");

tests/worker/postv1-oneapi-runtime.test.ts

@@ -0,0 +1,66 @@
+import { describe, expect, it, vi } from "vitest";
+
+import type { GenerationAdapterRequest } from "../../apps/worker/src/ai-adapter-contract.js";
+import { OneApiGenerationAdapter } from "../../apps/worker/src/oneapi-generation-adapter.js";
+
+function request(overrides: Partial<GenerationAdapterRequest> = {}): GenerationAdapterRequest {
+  return {
+    configSnapshot: {},
+    generationId: "00000000-0000-4000-8000-000000000001",
+    modelId: "gemini-3.1-flash-image-preview",
+    prompt: "一张用于本机验收的抽象色彩图",
+    ratio: "1:1",
+    referenceAssetIds: [],
+    ...overrides,
+  };
+}
+
+describe("POSTV1-02 OneAPI runtime adapter", () => {
+  it("uses the fixed Gemini gateway and normalizes one real-shaped response", async () => {
+    const source = Buffer.from(
+      "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=",
+      "base64",
+    );
+    const gateway = vi.fn(async (_url: string | URL | Request, init?: RequestInit) => {
+      const headers = new Headers(init?.headers);
+      expect(headers.get("authorization")).toBe("Bearer synthetic-runtime-token");
+      expect(init?.redirect).toBe("error");
+      return new Response(JSON.stringify({
+        choices: [{ message: { content: `![result](data:image/png;base64,${source.toString("base64")})` } }],
+      }), { headers: { "content-type": "application/json" }, status: 200 });
+    });
+    const credential = Buffer.from("synthetic-runtime-token");
+    const adapter = new OneApiGenerationAdapter({ credential, fetch: gateway as typeof fetch });
+    const result = await adapter.start(request());
+
+    expect(gateway).toHaveBeenCalledOnce();
+    expect(gateway.mock.calls[0]?.[0]).toBe("https://oneapi.intelligrow.cn/v1/chat/completions");
+    expect(result.status === "failed" ? result.sourceCategory : "completed").toBe("completed");
+    if (result.status === "completed") {
+      expect(result.outputs).toHaveLength(1);
+      expect(result.outputs[0]).toMatchObject({ mimeType: "image/png", pixelHeight: 1080, pixelWidth: 1080 });
+      expect(result.outputs[0]?.bytes.length).toBeGreaterThan(0);
+    }
+    expect(JSON.stringify(result)).not.toContain("synthetic-runtime-token");
+    adapter.dispose();
+    credential.fill(0);
+  });
+
+  it("fails closed instead of returning a mock image", async () => {
+    const adapter = new OneApiGenerationAdapter({
+      credential: Buffer.from("synthetic-runtime-token"),
+      fetch: vi.fn(async () => new Response(null, { status: 503 })) as typeof fetch,
+    });
+    await expect(adapter.start(request())).resolves.toEqual({
+      category: "upstream_failed",
+      sourceCategory: "upstream_http_503",
+      status: "failed",
+    });
+    adapter.dispose();
+    await expect(adapter.start(request())).resolves.toEqual({
+      category: "upstream_failed",
+      sourceCategory: "adapter_disposed",
+      status: "failed",
+    });
+  });
+});