Emdash source with visual editor image upload fix

Fixes:
1. media.ts: wrap placeholder generation in try-catch
2. toolbar.ts: check r.ok, display error message in popover

packages/marketplace/tests/image-audit-response-parsing.test.ts

@@ -0,0 +1,96 @@
+import { describe, expect, it } from "vitest";
+
+import type { ImageInput } from "../src/audit/image-types.js";
+import { createWorkersAIImageAuditor } from "../src/audit/image-workers-ai.js";
+
+// Minimal 1x1 transparent PNG
+const PIXEL_PNG = new Uint8Array([
+	137, 80, 78, 71, 13, 10, 26, 10, 0, 0, 0, 13, 73, 72, 68, 82, 0, 0, 0, 1, 0, 0, 0, 1, 8, 6, 0, 0,
+	0, 31, 21, 196, 137, 0, 0, 0, 10, 73, 68, 65, 84, 8, 215, 99, 0, 0, 0, 2, 0, 1, 226, 33, 188, 51,
+	0, 0, 0, 0, 73, 69, 78, 68, 174, 66, 96, 130,
+]).buffer;
+
+function img(filename: string): ImageInput {
+	return { filename, data: PIXEL_PNG };
+}
+
+function mockAi(responseText: string) {
+	return {
+		run: async () => ({ response: responseText }),
+	} as unknown as Ai;
+}
+
+describe("workers AI image auditor response parsing", () => {
+	it("parses well-formed JSON", async () => {
+		const json = JSON.stringify({
+			verdict: "pass",
+			category: "appropriate",
+			description: "Normal plugin icon",
+		});
+		const auditor = createWorkersAIImageAuditor(mockAi(json));
+		const result = await auditor.auditImages([img("icon.png")]);
+		expect(result.verdict).toBe("pass");
+		expect(result.images).toHaveLength(1);
+		expect(result.images[0]!.category).toBe("appropriate");
+	});
+
+	it("fails closed on malformed response", async () => {
+		const auditor = createWorkersAIImageAuditor(mockAi("This image looks fine to me"));
+		const result = await auditor.auditImages([img("icon.png")]);
+		expect(result.verdict).toBe("fail");
+		expect(result.images[0]!.category).toBe("audit-error");
+	});
+
+	it("fails closed on invalid schema", async () => {
+		const json = JSON.stringify({ verdict: "unknown", category: 123 });
+		const auditor = createWorkersAIImageAuditor(mockAi(json));
+		const result = await auditor.auditImages([img("icon.png")]);
+		expect(result.verdict).toBe("fail");
+		expect(result.images[0]!.category).toBe("audit-error");
+	});
+
+	it("fails closed on empty response", async () => {
+		const auditor = createWorkersAIImageAuditor(mockAi(""));
+		const result = await auditor.auditImages([img("icon.png")]);
+		expect(result.verdict).toBe("fail");
+	});
+
+	it("handles multiple images independently", async () => {
+		let callCount = 0;
+		const responses = [
+			JSON.stringify({ verdict: "pass", category: "appropriate", description: "OK" }),
+			JSON.stringify({ verdict: "fail", category: "nsfw", description: "Explicit content" }),
+		];
+		const ai = {
+			run: async () => {
+				const response = responses[callCount % responses.length]!;
+				callCount++;
+				return { response };
+			},
+		} as unknown as Ai;
+
+		const auditor = createWorkersAIImageAuditor(ai);
+		const result = await auditor.auditImages([img("icon.png"), img("screenshot.png")]);
+
+		expect(result.verdict).toBe("fail"); // worst of pass + fail
+		expect(result.images).toHaveLength(2);
+	});
+
+	it("returns pass for empty image list", async () => {
+		const auditor = createWorkersAIImageAuditor(mockAi(""));
+		const result = await auditor.auditImages([]);
+		expect(result.verdict).toBe("pass");
+		expect(result.images).toHaveLength(0);
+	});
+
+	it("includes model name in result", async () => {
+		const json = JSON.stringify({
+			verdict: "pass",
+			category: "appropriate",
+			description: "OK",
+		});
+		const auditor = createWorkersAIImageAuditor(mockAi(json));
+		const result = await auditor.auditImages([img("icon.png")]);
+		expect(result.model).toBe("@cf/meta/llama-4-scout-17b-16e-instruct");
+	});
+});