.. _monitoring: Monitoring ========== `OpenTelemetry `_ is an open-source observability framework providing APIs and instrumentation for generating, collecting, processing, and exporting telemetry data, such as traces, metrics, and logs. Its flexible design supports a wide range of backends and seamlessly integrates with modern application tools. Plano acts a *source* for several monitoring metrics related to **agents** and **LLMs** natively integrated via `OpenTelemetry `_ to help you understand three critical aspects of your application: latency, token usage, and error rates by an upstream LLM provider. Latency measures the speed at which your application is responding to users, which includes metrics like time to first token (TFT), time per output token (TOT) metrics, and the total latency as perceived by users. Below are some screenshots how Plano integrates natively with tools like `Grafana `_ via `Promethus `_ Metrics Dashboard (via Grafana) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. image:: /_static/img/llm-request-metrics.png :width: 100% :align: center .. image:: /_static/img/input-token-metrics.png :width: 100% :align: center .. image:: /_static/img/output-token-metrics.png :width: 100% :align: center Configure Monitoring ~~~~~~~~~~~~~~~~~~~~ Plano publishes stats endpoint at http://localhost:19901/stats. As noted above, Plano is a source for metrics. To view and manipulate dashbaords, you will need to configiure `Promethus `_ (as a metrics store) and `Grafana `_ for dashboards. Below are some sample configuration files for both, respectively. .. code-block:: yaml :caption: Sample prometheus.yaml config file global: scrape_interval: 15s scrape_timeout: 10s evaluation_interval: 15s alerting: alertmanagers: - static_configs: - targets: [] scheme: http timeout: 10s api_version: v2 scrape_configs: - job_name: plano honor_timestamps: true scrape_interval: 15s scrape_timeout: 10s metrics_path: /stats scheme: http static_configs: - targets: - host.docker.internal:19901 params: format: ["prometheus"] .. code-block:: yaml :caption: Sample grafana datasource.yaml config file apiVersion: 1 datasources: - name: Prometheus type: prometheus url: http://prometheus:9090 isDefault: true access: proxy editable: true