fix(config): preserved LM Studio native modalities

Keep the richer LM Studio /api/v0/models input metadata ahead of the thin OpenAI-compatible row while retaining row-first behavior for generic openai-models-list discovery. Add a regression covering a text-only /v1/models row paired with a native VLM record.

packages/coding-agent/src/config/model-discovery.ts

@@ -826,8 +826,8 @@ export async function discoverOpenAIModelsList(
 				baseUrl,
 				reasoning: reference?.reasoning ?? false,
 				thinking: inheritReferenceThinking(undefined, reference, providerConfig.provider),
-				input: extractOpenAIModelsListInputCapabilities(item) ??
-					nativeMetadataForModel?.input ??
+				input: nativeMetadataForModel?.input ??
+					extractOpenAIModelsListInputCapabilities(item) ??
 					reference?.input ?? ["text"],
 				...(providerConfig.discovery.type === "lm-studio" ? { imageInputDecoder: "stb" as const } : {}),
 				// Proxy/gateway pricing is provider-specific and rarely matches

packages/coding-agent/test/model-discovery.test.ts

@@ -2212,6 +2212,38 @@ providers:
 		expect(registry.find("openai-test", "medium")?.input).toEqual(["text"]);
 	});
 
+	test("lm-studio discovery keeps native VLM modalities over a thin OpenAI row", async () => {
+		writeRawModelsJson({
+			"lm-studio-test": {
+				baseUrl: "http://127.0.0.1:9995",
+				api: "openai-completions",
+				auth: "none",
+				discovery: { type: "lm-studio" },
+			},
+		});
+		const fetchMock: FetchImpl = async input => {
+			const url = String(input);
+			if (url === "http://127.0.0.1:9995/v1/models") {
+				return new Response(JSON.stringify({ data: [{ id: "local-vlm", object: "model", input: ["text"] }] }), {
+					status: 200,
+					headers: { "Content-Type": "application/json" },
+				});
+			}
+			if (url === "http://127.0.0.1:9995/api/v0/models") {
+				return new Response(
+					JSON.stringify({
+						data: [{ id: "local-vlm", type: "vlm", capabilities: ["vision"], state: "loaded" }],
+					}),
+					{ status: 200, headers: { "Content-Type": "application/json" } },
+				);
+			}
+			throw new Error(`Unexpected URL: ${url}`);
+		};
+		const registry = new ModelRegistry(authStorage, modelsJsonPath, { fetch: fetchMock });
+		await registry.refresh();
+		expect(registry.find("lm-studio-test", "local-vlm")?.input).toEqual(["text", "image"]);
+	});
+
 	test("proxy discovery honors API-reported context_length and endpoint routing", async () => {
 		writeRawModelsJson({
 			"proxy-test": {