test(models): fix DeepSeek vision regressions

tests/test-models.ts

@@ -103,7 +103,10 @@ describe("commandCodeModelsFromApiResponse()", () => {
   it("matches command-code@1.32.1 image input capabilities", () => {
     assert.deepEqual(inputModalitiesForModel("gpt-5.6-luna"), ["text", "image"])
     assert.deepEqual(inputModalitiesForModel("meta/muse-spark-1.2"), ["text", "image"])
-    assert.deepEqual(inputModalitiesForModel("deepseek/deepseek-v4-flash-vision-exp"), ["text", "image"])
+    assert.deepEqual(inputModalitiesForModel("deepseek/deepseek-v4-flash-vision-exp"), [
+      "text",
+      "image",
+    ])
     assert.deepEqual(inputModalitiesForModel("deepseek/deepseek-v4-pro"), ["text"])
     assert.deepEqual(inputModalitiesForModel("unknown-new-model"), ["text"])
     assert.equal(modelSupportsImageInput("gpt-5.6-luna"), true)

tests/test-stream.ts

@@ -247,8 +247,10 @@ describe("streamCommandCode — successful streams", () => {
       ),
     )
 
-    assert.equal(events.at(-1)?.type, "error")
+    const lastEvent = events.at(-1)
-    assert.match(events.at(-1)?.error.errorMessage ?? "", /does not support image content/i)
+    assert.equal(lastEvent?.type, "error")
+    if (lastEvent?.type !== "error") throw new Error("expected error event")
+    assert.match(lastEvent.error.errorMessage ?? "", /does not support image content/i)
     assert.equal(server.requestCount(), 0)
   })