> For the complete documentation index, see [llms.txt](https://seekspeed.gitbook.io/seekspeed-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://seekspeed.gitbook.io/seekspeed-docs/benchmarking/running.md).

# Running a Benchmark

From `/app/benchmarks/new`:

1. Pick an agent profile.
2. Provide prompts — inline textarea, CSV paste, or JSON upload.
3. Set **iterations** (per prompt) and **concurrency** (parallel in-flight requests).
4. Toggle streaming on (default) for real TTFT capture.
5. Optionally enable a concurrency **sweep** — runs the set at `[1, 4, 16, 32]` concurrency to surface tail latency.

Click **Run**. The runner streams results back via the server function, the in-memory workspace updates after each iteration, and Recharts re-renders three live charts:

* Per-iteration TTFT scatter
* Total latency p50 / p95 / p99 bars
* Throughput (tok/s) line

## Runner internals

```ts
// pseudocode of the orchestrator
async function executeRun(run: BenchmarkRun) {
  const pool = new Semaphore(run.concurrency);
  const tasks = run.prompts.flatMap(p =>
    Array.from({ length: run.iterations }, (_, i) => async () => {
      await pool.acquire();
      try {
        const r = await runBenchmarkOnce({
          connectorId: agent.connectorId,
          prompt: renderPrompt(p, agent),
          stream: true,
          maxTokens: agent.tokenBudget,
        });
        await appendRunResult(run.id, r);
      } finally { pool.release(); }
    })
  );
  await Promise.all(tasks.map(t => t()));
  await finalizeStats(run.id);
}
```

`finalizeStats` computes p50 / p95 / p99 of `ttftMs` and `totalMs`, mean tok/s, total cost in USD via `src/lib/pricing.ts`, and the error rate.


---

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