test: cover cron telemetry and typed fetch mocks

src/cron/run-log.test.ts

@@ -97,4 +97,55 @@ describe("cron run log", () => {
 
     await fs.rm(dir, { recursive: true, force: true });
   });
+
+  it("reads telemetry fields", async () => {
+    const dir = await fs.mkdtemp(path.join(os.tmpdir(), "openclaw-cron-log-telemetry-"));
+    const logPath = path.join(dir, "runs", "job-1.jsonl");
+
+    await appendCronRunLog(logPath, {
+      ts: 1,
+      jobId: "job-1",
+      action: "finished",
+      status: "ok",
+      model: "gpt-5.2",
+      provider: "openai",
+      usage: {
+        input_tokens: 10,
+        output_tokens: 5,
+        total_tokens: 15,
+        cache_read_tokens: 2,
+        cache_write_tokens: 1,
+      },
+    });
+
+    await fs.appendFile(
+      logPath,
+      `${JSON.stringify({
+        ts: 2,
+        jobId: "job-1",
+        action: "finished",
+        status: "ok",
+        model: " ",
+        provider: "",
+        usage: { input_tokens: "oops" },
+      })}\n`,
+      "utf-8",
+    );
+
+    const entries = await readCronRunLogEntries(logPath, { limit: 10, jobId: "job-1" });
+    expect(entries[0]?.model).toBe("gpt-5.2");
+    expect(entries[0]?.provider).toBe("openai");
+    expect(entries[0]?.usage).toEqual({
+      input_tokens: 10,
+      output_tokens: 5,
+      total_tokens: 15,
+      cache_read_tokens: 2,
+      cache_write_tokens: 1,
+    });
+    expect(entries[1]?.model).toBeUndefined();
+    expect(entries[1]?.provider).toBeUndefined();
+    expect(entries[1]?.usage?.input_tokens).toBeUndefined();
+
+    await fs.rm(dir, { recursive: true, force: true });
+  });
 });

src/memory/embeddings-voyage.test.ts

@@ -53,7 +53,9 @@ describe("voyage embedding provider", () => {
       expect.objectContaining({ provider: "voyage" }),
     );
 
-    const [url, init] = fetchMock.mock.calls[0] ?? [];
+    const call = fetchMock.mock.calls[0];
+    expect(call).toBeDefined();
+    const [url, init] = call as [RequestInfo | URL, RequestInit | undefined];
     expect(url).toBe("https://api.voyageai.com/v1/embeddings");
 
     const headers = (init?.headers ?? {}) as Record<string, string>;
@@ -86,7 +88,9 @@ describe("voyage embedding provider", () => {
 
     await result.provider.embedQuery("test");
 
-    const [url, init] = fetchMock.mock.calls[0] ?? [];
+    const call = fetchMock.mock.calls[0];
+    expect(call).toBeDefined();
+    const [url, init] = call as [RequestInfo | URL, RequestInit | undefined];
     expect(url).toBe("https://proxy.example.com/embeddings");
 
     const headers = (init?.headers ?? {}) as Record<string, string>;
@@ -123,7 +127,9 @@ describe("voyage embedding provider", () => {
 
     await result.provider.embedBatch(["doc1", "doc2"]);
 
-    const [, init] = fetchMock.mock.calls[0] ?? [];
+    const call = fetchMock.mock.calls[0];
+    expect(call).toBeDefined();
+    const [, init] = call as [RequestInfo | URL, RequestInit | undefined];
     const body = JSON.parse(init?.body as string);
     expect(body).toEqual({
       model: "voyage-4-large",