feat(vercel-ai-gateway): support embeddings, images and credit usage

Extend Vercel AI Gateway beyond chat: add OpenAI-compatible embeddings
and image generation endpoints, credit balance fetch on the usage
dashboard, retry on 429, and models catalog fetcher.

Thinking/reasoning mapping is omitted pending a project-wide refactor.

Co-authored-by: Ngô Tấn Tài <tantai@newnol.io.vn>
Co-authored-by: Cursor <cursoragent@cursor.com>

tests/unit/embeddingsCore.test.js

@@ -222,6 +222,21 @@ describe("buildEmbeddingsUrl", () => {
     expect(url).toBe("https://openrouter.ai/api/v1/embeddings");
   });
 
+  it("vercel-ai-gateway → https://ai-gateway.vercel.sh/v1/embeddings", async () => {
+    vi.mocked(fetch).mockResolvedValueOnce(makeProviderResponse(VALID_EMBEDDING_RESPONSE));
+
+    await handleEmbeddingsCore(makeOptions({
+      modelInfo: { provider: "vercel-ai-gateway", model: "openai/text-embedding-3-small" },
+      credentials: { apiKey: "vag-test-key" },
+    }));
+
+    const [url, init] = vi.mocked(fetch).mock.calls[0];
+    const sent = JSON.parse(init.body);
+    expect(url).toBe("https://ai-gateway.vercel.sh/v1/embeddings");
+    expect(init.headers.Authorization).toBe("Bearer vag-test-key");
+    expect(sent.model).toBe("openai/text-embedding-3-small");
+  });
+
   it("openai-compatible-* → uses baseUrl from providerSpecificData", async () => {
     vi.mocked(fetch).mockResolvedValueOnce(makeProviderResponse(VALID_EMBEDDING_RESPONSE));
 

tests/unit/image-generation.test.js

@@ -263,6 +263,38 @@ describe("handleImageGenerationCore", () => {
     );
   });
 
+  it("handles Vercel AI Gateway image generation as OpenAI-compatible", async () => {
+    global.fetch.mockResolvedValueOnce(
+      new Response(
+        JSON.stringify({
+          created: 1234567890,
+          data: [{ url: "https://example.com/vercel-image.png" }],
+        }),
+        { status: 200, headers: { "Content-Type": "application/json" } }
+      )
+    );
+
+    const result = await handleImageGenerationCore({
+      body: { prompt: "A watercolor castle", n: 1, size: "1024x1024" },
+      modelInfo: { provider: "vercel-ai-gateway", model: "openai/gpt-image-1" },
+      credentials: { apiKey: "vag-test-key" },
+      log: null,
+    });
+
+    expect(result.success).toBe(true);
+    expect(global.fetch).toHaveBeenCalledWith(
+      "https://ai-gateway.vercel.sh/v1/images/generations",
+      expect.objectContaining({
+        method: "POST",
+        headers: expect.objectContaining({
+          "Content-Type": "application/json",
+          Authorization: "Bearer vag-test-key",
+        }),
+        body: expect.stringContaining('"model":"openai/gpt-image-1"'),
+      })
+    );
+  });
+
   it("handles HuggingFace binary response", async () => {
     const imageBuffer = new Uint8Array([0x89, 0x50, 0x4e, 0x47]); // PNG header
     global.fetch.mockResolvedValueOnce(