增加2.5模型调用

tests/image-models.test.ts

@@ -0,0 +1,56 @@
+import { describe, expect, it } from "vitest";
+import { IMAGE_MODEL_OPTIONS, evolinkModelCapability, imageModelAfterHealth, imageModelFromJob, templateImageModel } from "@/lib/image-models";
+import type { GenerationJob } from "@/lib/types";
+
+function imageJob(overrides: Partial<GenerationJob>): GenerationJob {
+  return {
+    id: "job-1",
+    ownerId: "owner-1",
+    capability: "image.generate",
+    provider: "evolink",
+    reqKey: "",
+    status: "succeeded",
+    inputAssetIds: [],
+    inputUrls: [],
+    outputAssetIds: [],
+    requestPayload: {},
+    createdAt: "2026-01-01T00:00:00.000Z",
+    updatedAt: "2026-01-01T00:00:00.000Z",
+    ...overrides
+  };
+}
+
+describe("EvoLink image model selection", () => {
+  it("uses the configured model when health loads and preserves a selection made while loading", () => {
+    expect(imageModelAfterHealth(IMAGE_MODEL_OPTIONS, "gpt-image-2.5-flare", "gpt-image-2", false)).toBe("gpt-image-2.5-flare");
+    expect(imageModelAfterHealth(IMAGE_MODEL_OPTIONS, "gpt-image-2.5-flare", "gpt-image-2.5-sunburst", true)).toBe("gpt-image-2.5-sunburst");
+    expect(imageModelAfterHealth([{ id: "custom-image" }], "custom-image", "gpt-image-2", false)).toBe("custom-image");
+  });
+
+  it("reads EvoLink defaults even when another image engine is primary", () => {
+    const capability = evolinkModelCapability({
+      engine: "jimeng",
+      reqKey: "jimeng-model",
+      evolink: { reqKey: "gpt-image-2.5-flare", models: [{ id: "gpt-image-2.5-flare", label: "Image 2.5 Flare" }] }
+    });
+    expect(capability?.reqKey).toBe("gpt-image-2.5-flare");
+    expect(imageModelAfterHealth(capability!.models!, capability?.reqKey, "gpt-image-2", false)).toBe("gpt-image-2.5-flare");
+    expect(evolinkModelCapability({ engine: "evolink", reqKey: "gpt-image-2.5-sunburst" })?.reqKey).toBe("gpt-image-2.5-sunburst");
+  });
+
+  it("uses the configured runtime default for older templates without a saved model", () => {
+    expect(templateImageModel(undefined, "gpt-image-2.5-flare")).toBe("gpt-image-2.5-flare");
+    expect(templateImageModel("gpt-image-2.5-sunburst", "gpt-image-2.5-flare")).toBe("gpt-image-2.5-sunburst");
+  });
+
+  it("shows the persisted Go model before request fallbacks", () => {
+    expect(imageModelFromJob(imageJob({
+      reqKey: "gpt-image-2.5-sunburst",
+      requestPayload: { model: "gpt-image-2.5-flare", input: { model: "gpt-image-2" } }
+    }))).toBe("gpt-image-2.5-sunburst");
+    expect(imageModelFromJob(imageJob({ requestPayload: { model: "gpt-image-2.5-flare" } }))).toBe("gpt-image-2.5-flare");
+    expect(imageModelFromJob(imageJob({ requestPayload: { input: { model: "gpt-image-2.5-flare" } } }))).toBe("gpt-image-2.5-flare");
+    expect(imageModelFromJob(imageJob({}))).toBe("gpt-image-2");
+    expect(imageModelFromJob(imageJob({ provider: "bailian", reqKey: "gpt-image-2.5-flare" }))).toBeUndefined();
+  });
+});