> ## Documentation Index
> Fetch the complete documentation index at: https://docs.myrouter.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# LLM Monitoring

Myrouter provides comprehensive monitoring metrics for LLM API usage. These metrics give you in-depth insights into the availability and performance of your LLM API requests.

You can view monitoring metrics on the [LLM Monitoring page](https://myrouter.ai/models-console/llm-metrics).

## Metric Descriptions

<Note>
  All metrics below are **broken down by model** and **sampled at the minute level**, but depending on your selected time interval, data points may not be displayed for every minute. In such cases, data points within that interval are averaged.
</Note>

* **Requests Per Minute (RPM)**

  Shows the number of API requests made per minute, helping you understand usage patterns and API concurrency levels.
* **Request Success Rate**

  Shows the percentage of successful API responses (non-5xx status codes) per minute, reflecting API availability.
* **Average Tokens Per Request**

  Shows the average number of input and output tokens per request per minute, helping you understand token consumption patterns.
* **End-to-End (E2E) Latency**

  Shows the total time required for the model to generate a complete response per minute of requests. Includes p99, p95, and average latency metrics.
* **Time to First Token (TTFT)**

  <Note>
    This metric is only tracked for streaming requests with the `stream=true` parameter enabled.
  </Note>

  Shows the time required to process the prompt and generate the first output token per minute of requests. Includes p99, p95, and average latency metrics.
* **Time Per Output Token (TPOT)**

  <Note>
    This metric is only tracked for streaming requests with the `stream=true` parameter enabled.
  </Note>

  Shows the average time between consecutive output tokens per minute of requests. Includes p99, p95, and average latency metrics.