refactor(core): dedupe shared config and runtime helpers

src/memory/manager.batch.test.ts

@@ -3,37 +3,18 @@ import os from "node:os";
 import path from "node:path";
 import { afterAll, afterEach, beforeAll, beforeEach, describe, expect, it, vi } from "vitest";
 import { getMemorySearchManager, type MemoryIndexManager } from "./index.js";
+import { createOpenAIEmbeddingProviderMock } from "./test-embeddings-mock.js";
+import "./test-runtime-mocks.js";
 
 const embedBatch = vi.fn(async () => []);
 const embedQuery = vi.fn(async () => [0.5, 0.5, 0.5]);
 
-// Unit tests: avoid importing the real chokidar implementation (native fsevents, etc.).
-vi.mock("chokidar", () => ({
-  default: {
-    watch: () => ({ on: () => {}, close: async () => {} }),
-  },
-  watch: () => ({ on: () => {}, close: async () => {} }),
-}));
-
-vi.mock("./sqlite-vec.js", () => ({
-  loadSqliteVecExtension: async () => ({ ok: false, error: "sqlite-vec disabled in tests" }),
-}));
-
 vi.mock("./embeddings.js", () => ({
-  createEmbeddingProvider: async () => ({
-    requestedProvider: "openai",
-    provider: {
-      id: "openai",
-      model: "text-embedding-3-small",
+  createEmbeddingProvider: async () =>
+    createOpenAIEmbeddingProviderMock({
       embedQuery,
       embedBatch,
-    },
-    openAi: {
-      baseUrl: "https://api.openai.com/v1",
-      headers: { Authorization: "Bearer test", "Content-Type": "application/json" },
-      model: "text-embedding-3-small",
-    },
-  }),
+    }),
 }));
 
 describe("memory indexing with OpenAI batches", () => {