chore: import upstream snapshot with attribution

showcase/integrations/ms-agent-python/playwright.config.ts

@@ -0,0 +1,45 @@
+import { defineConfig, devices } from "@playwright/test";
+
+export default defineConfig({
+  testDir: "./tests/e2e",
+  fullyParallel: true,
+  forbidOnly: !!process.env.CI,
+  // Local default of 1 retry covers the `agent_framework.Agent` concurrency
+  // flake: the shared Agent instance + single OpenAI HTTP client serialise
+  // SSE streams under high worker counts, so a handful of cells time out at
+  // 30s on the first attempt and pass cleanly on retry. CI keeps 2 retries
+  // as the safer ratchet. The underlying upstream fix is per-request agent
+  // instantiation; see the D5 sweep doc in Notion.
+  retries: process.env.CI ? 2 : 1,
+  // Local default of 4 workers caps the SSE concurrency the python agent has
+  // to absorb. The reused `agent_framework.Agent` + shared OpenAI HTTP client
+  // serialise concurrent streams; >4 workers makes 30s test timeouts inevitable
+  // for a few cells. 4 keeps things parallel without overloading the agent.
+  workers: process.env.CI ? 1 : 4,
+  reporter: "html",
+  use: {
+    baseURL: process.env.BASE_URL || "http://localhost:3000",
+    trace: "on-first-retry",
+    extraHTTPHeaders: {
+      "X-AIMock-Context": "ms-agent-python",
+    },
+  },
+  projects: [
+    {
+      name: "chromium",
+      use: { ...devices["Desktop Chrome"] },
+    },
+  ],
+  webServer: process.env.CI
+    ? undefined
+    : {
+        command: "pnpm dev",
+        url: "http://localhost:3000",
+        reuseExistingServer: true,
+        env: {
+          ...process.env,
+          OPENAI_BASE_URL: process.env.OPENAI_BASE_URL || "",
+          OPENAI_API_KEY: process.env.OPENAI_API_KEY || "",
+        },
+      },
+});