chore: import upstream snapshot with attribution

tests/unit/db/compressionRunTelemetry.test.ts

@@ -0,0 +1,69 @@
+import { describe, it, beforeEach } from "node:test";
+import assert from "node:assert/strict";
+import { mkdtempSync } from "node:fs";
+import { tmpdir } from "node:os";
+import { join } from "node:path";
+
+const tmpDir = mkdtempSync(join(tmpdir(), "omniroute-rt-"));
+process.env.DATA_DIR = tmpDir;
+
+const core = await import("../../../src/lib/db/core.ts");
+core.resetDbInstance();
+const {
+  insertCompressionRunTelemetryRow,
+  getCompressionRunTelemetrySummary,
+} = await import("../../../src/lib/db/compressionRunTelemetry.ts");
+const { getDbInstance } = core;
+
+describe("compressionRunTelemetry", () => {
+  beforeEach(() => {
+    const db = getDbInstance();
+    db.exec("DROP TABLE IF EXISTS compression_run_telemetry");
+  });
+
+  it("persists a run record and summarizes savings + applied styles", () => {
+    insertCompressionRunTelemetryRow({
+      requestId: "req-1",
+      model: "gpt-4o",
+      provider: "openai",
+      source: "active-profile",
+      tokensBefore: 1000,
+      tokensAfter: 700,
+      ratio: 0.7,
+      outputStyles: [{ id: "terse-prose", level: "full" }],
+      outputTokens: 320,
+    });
+    insertCompressionRunTelemetryRow({
+      requestId: "req-2",
+      model: "gpt-4o",
+      provider: "openai",
+      source: "default",
+      tokensBefore: 500,
+      tokensAfter: 500,
+      ratio: 1,
+      outputStyleBypass: "security_warning",
+    });
+
+    const summary = getCompressionRunTelemetrySummary();
+    assert.equal(summary.totalRuns, 2);
+    assert.equal(summary.totalTokensSaved, 300); // (1000-700) + (500-500)
+    assert.equal(summary.runsWithStyles, 1);
+    assert.equal(summary.bypassCount, 1);
+    assert.deepEqual(summary.appliedStyleCounts, { "terse-prose": 1 });
+  });
+
+  it("never throws on a malformed row; outputStyles is optional", () => {
+    assert.doesNotThrow(() =>
+      insertCompressionRunTelemetryRow({
+        requestId: "req-3",
+        model: "m",
+        provider: "p",
+        source: "off",
+        tokensBefore: 0,
+        tokensAfter: 0,
+        ratio: 0,
+      })
+    );
+    assert.equal(getCompressionRunTelemetrySummary().totalRuns, 1);
+  });
+});