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/runway/video-generation-provider.test.ts

@@ -0,0 +1,142 @@
+import { beforeAll, describe, expect, it, vi } from "vitest";
+import { expectExplicitVideoGenerationCapabilities } from "../../test/helpers/media-generation/provider-capability-assertions.js";
+import {
+  getProviderHttpMocks,
+  installProviderHttpMockCleanup,
+} from "../../test/helpers/media-generation/provider-http-mocks.js";
+
+const { postJsonRequestMock, fetchWithTimeoutMock } = getProviderHttpMocks();
+
+let buildRunwayVideoGenerationProvider: typeof import("./video-generation-provider.js").buildRunwayVideoGenerationProvider;
+
+beforeAll(async () => {
+  ({ buildRunwayVideoGenerationProvider } = await import("./video-generation-provider.js"));
+});
+
+installProviderHttpMockCleanup();
+
+describe("runway video generation provider", () => {
+  it("declares explicit mode capabilities", () => {
+    expectExplicitVideoGenerationCapabilities(buildRunwayVideoGenerationProvider());
+  });
+
+  it("submits a text-to-video task, polls it, and downloads the output", async () => {
+    postJsonRequestMock.mockResolvedValue({
+      response: {
+        json: async () => ({
+          id: "task-1",
+        }),
+      },
+      release: vi.fn(async () => {}),
+    });
+    fetchWithTimeoutMock
+      .mockResolvedValueOnce({
+        json: async () => ({
+          id: "task-1",
+          status: "SUCCEEDED",
+          output: ["https://example.com/out.mp4"],
+        }),
+        headers: new Headers(),
+      })
+      .mockResolvedValueOnce({
+        arrayBuffer: async () => Buffer.from("mp4-bytes"),
+        headers: new Headers({ "content-type": "video/mp4" }),
+      });
+
+    const provider = buildRunwayVideoGenerationProvider();
+    const result = await provider.generateVideo({
+      provider: "runway",
+      model: "gen4.5",
+      prompt: "a tiny lobster DJ under neon lights",
+      cfg: {},
+      durationSeconds: 4,
+      aspectRatio: "16:9",
+    });
+
+    expect(postJsonRequestMock).toHaveBeenCalledWith(
+      expect.objectContaining({
+        url: "https://api.dev.runwayml.com/v1/text_to_video",
+        body: {
+          model: "gen4.5",
+          promptText: "a tiny lobster DJ under neon lights",
+          ratio: "1280:720",
+          duration: 4,
+        },
+      }),
+    );
+    expect(fetchWithTimeoutMock).toHaveBeenNthCalledWith(
+      1,
+      "https://api.dev.runwayml.com/v1/tasks/task-1",
+      expect.objectContaining({ method: "GET" }),
+      120000,
+      fetch,
+    );
+    expect(result.videos).toHaveLength(1);
+    expect(result.metadata).toEqual(
+      expect.objectContaining({
+        taskId: "task-1",
+        status: "SUCCEEDED",
+        endpoint: "/v1/text_to_video",
+      }),
+    );
+  });
+
+  it("accepts local image buffers by converting them into data URIs", async () => {
+    postJsonRequestMock.mockResolvedValue({
+      response: {
+        json: async () => ({ id: "task-2" }),
+      },
+      release: vi.fn(async () => {}),
+    });
+    fetchWithTimeoutMock
+      .mockResolvedValueOnce({
+        json: async () => ({
+          id: "task-2",
+          status: "SUCCEEDED",
+          output: ["https://example.com/out.mp4"],
+        }),
+        headers: new Headers(),
+      })
+      .mockResolvedValueOnce({
+        arrayBuffer: async () => Buffer.from("mp4-bytes"),
+        headers: new Headers({ "content-type": "video/mp4" }),
+      });
+
+    const provider = buildRunwayVideoGenerationProvider();
+    await provider.generateVideo({
+      provider: "runway",
+      model: "gen4_turbo",
+      prompt: "animate this frame",
+      cfg: {},
+      inputImages: [{ buffer: Buffer.from("png-bytes"), mimeType: "image/png" }],
+      aspectRatio: "1:1",
+      durationSeconds: 6,
+    });
+
+    expect(postJsonRequestMock).toHaveBeenCalledWith(
+      expect.objectContaining({
+        url: "https://api.dev.runwayml.com/v1/image_to_video",
+        body: expect.objectContaining({
+          promptImage: expect.stringMatching(/^data:image\/png;base64,/u),
+          ratio: "960:960",
+          duration: 6,
+        }),
+      }),
+    );
+  });
+
+  it("requires gen4_aleph for video-to-video", async () => {
+    const provider = buildRunwayVideoGenerationProvider();
+
+    await expect(
+      provider.generateVideo({
+        provider: "runway",
+        model: "gen4.5",
+        prompt: "restyle this clip",
+        cfg: {},
+        inputVideos: [{ url: "https://example.com/input.mp4" }],
+      }),
+    ).rejects.toThrow("Runway video-to-video currently requires model gen4_aleph.");
+    expect(postJsonRequestMock).not.toHaveBeenCalled();
+  });
+});