重构主控编排与运行时预热链路，统一工作区提示词/专家调度协议并补齐 wiki 记忆注入与写回闭环。

同时收敛启动与运维脚本默认行为（含 wiki worker）、更新 Admin 可观测性与相关测试，降低首轮时延并提高运行稳定性。

Made-with: Cursor

openclaw/extensions/vydra/video-generation-provider.test.ts

@@ -0,0 +1,166 @@
+import * as providerAuth from "openclaw/plugin-sdk/provider-auth-runtime";
+import { installPinnedHostnameTestHooks } from "openclaw/plugin-sdk/testing";
+import { afterEach, describe, expect, it, vi } from "vitest";
+import { expectExplicitVideoGenerationCapabilities } from "../../test/helpers/media-generation/provider-capability-assertions.js";
+import { buildVydraVideoGenerationProvider } from "./video-generation-provider.js";
+
+describe("vydra video-generation provider", () => {
+  installPinnedHostnameTestHooks();
+
+  afterEach(() => {
+    vi.unstubAllGlobals();
+    vi.restoreAllMocks();
+  });
+
+  it("declares explicit mode capabilities", () => {
+    expectExplicitVideoGenerationCapabilities(buildVydraVideoGenerationProvider());
+  });
+
+  it("submits veo3 jobs and downloads the completed video", async () => {
+    vi.spyOn(providerAuth, "resolveApiKeyForProvider").mockResolvedValue({
+      apiKey: "vydra-test-key",
+      source: "env",
+      mode: "api-key",
+    });
+    const fetchMock = vi
+      .fn()
+      .mockResolvedValueOnce(
+        new Response(JSON.stringify({ jobId: "job-123", status: "processing" }), {
+          status: 200,
+          headers: { "Content-Type": "application/json" },
+        }),
+      )
+      .mockResolvedValueOnce(
+        new Response(
+          JSON.stringify({
+            jobId: "job-123",
+            status: "completed",
+            videoUrl: "https://cdn.vydra.ai/generated/test.mp4",
+          }),
+          {
+            status: 200,
+            headers: { "Content-Type": "application/json" },
+          },
+        ),
+      )
+      .mockResolvedValueOnce(
+        new Response(Buffer.from("mp4-data"), {
+          status: 200,
+          headers: { "Content-Type": "video/mp4" },
+        }),
+      );
+    vi.stubGlobal("fetch", fetchMock);
+
+    const provider = buildVydraVideoGenerationProvider();
+    const result = await provider.generateVideo({
+      provider: "vydra",
+      model: "veo3",
+      prompt: "tiny city at sunrise",
+      cfg: {},
+    });
+
+    expect(fetchMock).toHaveBeenNthCalledWith(
+      1,
+      "https://www.vydra.ai/api/v1/models/veo3",
+      expect.objectContaining({
+        method: "POST",
+        body: JSON.stringify({ prompt: "tiny city at sunrise" }),
+      }),
+    );
+    expect(fetchMock).toHaveBeenNthCalledWith(
+      2,
+      "https://www.vydra.ai/api/v1/jobs/job-123",
+      expect.objectContaining({ method: "GET" }),
+    );
+    expect(result.videos[0]?.mimeType).toBe("video/mp4");
+    expect(result.metadata).toEqual({
+      jobId: "job-123",
+      videoUrl: "https://cdn.vydra.ai/generated/test.mp4",
+      status: "completed",
+    });
+  });
+
+  it("requires a remote image url for kling", async () => {
+    vi.spyOn(providerAuth, "resolveApiKeyForProvider").mockResolvedValue({
+      apiKey: "vydra-test-key",
+      source: "env",
+      mode: "api-key",
+    });
+    vi.stubGlobal("fetch", vi.fn());
+
+    const provider = buildVydraVideoGenerationProvider();
+    await expect(
+      provider.generateVideo({
+        provider: "vydra",
+        model: "kling",
+        prompt: "animate this image",
+        cfg: {},
+        inputImages: [{ buffer: Buffer.from("png"), mimeType: "image/png" }],
+      }),
+    ).rejects.toThrow("Vydra kling currently requires a remote image URL reference.");
+  });
+
+  it("submits kling jobs with a remote image url", async () => {
+    vi.spyOn(providerAuth, "resolveApiKeyForProvider").mockResolvedValue({
+      apiKey: "vydra-test-key",
+      source: "env",
+      mode: "api-key",
+    });
+    const fetchMock = vi
+      .fn()
+      .mockResolvedValueOnce(
+        new Response(JSON.stringify({ jobId: "job-kling", status: "processing" }), {
+          status: 200,
+          headers: { "Content-Type": "application/json" },
+        }),
+      )
+      .mockResolvedValueOnce(
+        new Response(
+          JSON.stringify({
+            jobId: "job-kling",
+            status: "completed",
+            videoUrl: "https://cdn.vydra.ai/generated/kling.mp4",
+          }),
+          {
+            status: 200,
+            headers: { "Content-Type": "application/json" },
+          },
+        ),
+      )
+      .mockResolvedValueOnce(
+        new Response(Buffer.from("mp4-data"), {
+          status: 200,
+          headers: { "Content-Type": "video/mp4" },
+        }),
+      );
+    vi.stubGlobal("fetch", fetchMock);
+
+    const provider = buildVydraVideoGenerationProvider();
+    const result = await provider.generateVideo({
+      provider: "vydra",
+      model: "kling",
+      prompt: "animate this image",
+      cfg: {},
+      inputImages: [{ url: "https://example.com/reference.png" }],
+    });
+
+    expect(fetchMock).toHaveBeenNthCalledWith(
+      1,
+      "https://www.vydra.ai/api/v1/models/kling",
+      expect.objectContaining({
+        method: "POST",
+        body: JSON.stringify({
+          prompt: "animate this image",
+          image_url: "https://example.com/reference.png",
+          video_url: "https://example.com/reference.png",
+        }),
+      }),
+    );
+    expect(result.videos[0]?.mimeType).toBe("video/mp4");
+    expect(result.metadata).toEqual({
+      jobId: "job-kling",
+      videoUrl: "https://cdn.vydra.ai/generated/kling.mp4",
+      status: "completed",
+    });
+  });
+});