test: share lmstudio stream preload helpers

extensions/lmstudio/src/stream.test.ts

@@ -50,6 +50,44 @@ function buildDoneStreamFn(): StreamFn {
   });
 }
 
+function createWrappedLmstudioStream(
+  baseStream: StreamFn,
+  params?: { baseUrl?: string },
+): StreamFn {
+  return wrapLmstudioInferencePreload({
+    provider: "lmstudio",
+    modelId: "qwen3-8b-instruct",
+    config: {
+      models: {
+        providers: {
+          lmstudio: {
+            baseUrl: params?.baseUrl ?? "http://localhost:1234",
+            models: [],
+          },
+        },
+      },
+    },
+    streamFn: baseStream,
+  } as never);
+}
+
+function runWrappedLmstudioStream(
+  wrapped: StreamFn,
+  model: Record<string, unknown>,
+  options?: Record<string, unknown>,
+) {
+  return wrapped(
+    {
+      provider: "lmstudio",
+      api: "openai-completions",
+      id: "lmstudio/qwen3-8b-instruct",
+      ...model,
+    } as never,
+    { messages: [] } as never,
+    options as never,
+  );
+}
+
 describe("lmstudio stream wrapper", () => {
   beforeEach(() => {
     __resetLmstudioPreloadCooldownForTest();
@@ -66,31 +104,13 @@ describe("lmstudio stream wrapper", () => {
 
   it("preloads LM Studio model before inference using model context window", async () => {
     const baseStream = buildDoneStreamFn();
-    const wrapped = wrapLmstudioInferencePreload({
+    const wrapped = createWrappedLmstudioStream(baseStream, {
-      provider: "lmstudio",
-      modelId: "qwen3-8b-instruct",
-      config: {
-        models: {
-          providers: {
-            lmstudio: {
       baseUrl: "http://lmstudio.internal:1234/v1",
-              models: [],
+    });
-            },
+    const stream = runWrappedLmstudioStream(
-          },
+      wrapped,
-        },
+      { contextWindow: 131072 },
-      },
+      { apiKey: "lmstudio-token" },
-      streamFn: baseStream,
-    } as never);
-
-    const stream = wrapped(
-      {
-        provider: "lmstudio",
-        api: "openai-completions",
-        id: "lmstudio/qwen3-8b-instruct",
-        contextWindow: 131072,
-      } as never,
-      { messages: [] } as never,
-      { apiKey: "lmstudio-token" } as never,
     );
     const events = await collectEvents(stream);
 
@@ -109,32 +129,13 @@ describe("lmstudio stream wrapper", () => {
 
   it("prefers model contextTokens over contextWindow for preload requests", async () => {
     const baseStream = buildDoneStreamFn();
-    const wrapped = wrapLmstudioInferencePreload({
+    const wrapped = createWrappedLmstudioStream(baseStream, {
-      provider: "lmstudio",
-      modelId: "qwen3-8b-instruct",
-      config: {
-        models: {
-          providers: {
-            lmstudio: {
       baseUrl: "http://lmstudio.internal:1234/v1",
-              models: [],
+    });
-            },
+    const stream = runWrappedLmstudioStream(
-          },
+      wrapped,
-        },
+      { contextWindow: 131072, contextTokens: 64000 },
-      },
+      { apiKey: "lmstudio-token" },
-      streamFn: baseStream,
-    } as never);
-
-    const stream = wrapped(
-      {
-        provider: "lmstudio",
-        api: "openai-completions",
-        id: "lmstudio/qwen3-8b-instruct",
-        contextWindow: 131072,
-        contextTokens: 64000,
-      } as never,
-      { messages: [] } as never,
-      { apiKey: "lmstudio-token" } as never,
     );
     const events = await collectEvents(stream);