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Update docs to Plano (#639)

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Salman Paracha 2025-12-23 17:14:50 -08:00 • committed by GitHub
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8
docs/source/guides/observability/monitoring.rst
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@ -8,11 +8,11 @@ and instrumentation for generating, collecting, processing, and exporting teleme
metrics, and logs. Its flexible design supports a wide range of backends and seamlessly integrates with
modern application tools.
Arch acts a *source* for several monitoring metrics related to **prompts** and **LLMs** natively integrated
Plano acts a *source* for several monitoring metrics related to **agents** and **LLMs** natively integrated
via `OpenTelemetry <https://opentelemetry.io/>`_ 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 Arch integrates natively with tools like
the total latency as perceived by users. Below are some screenshots how Plano integrates natively with tools like
`Grafana <https://grafana.com/grafana/dashboards/>`_ via `Promethus <https://prometheus.io/>`_
@ -32,7 +32,7 @@ Metrics Dashboard (via Grafana)
Configure Monitoring
~~~~~~~~~~~~~~~~~~~~
Arch gateway publishes stats endpoint at http://localhost:19901/stats. As noted above, Arch is a source for metrics. To view and manipulate dashbaords, you will
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 <https://prometheus.io/>`_ (as a metrics store) and `Grafana <https://grafana.com/grafana/dashboards/>`_ for dashboards. Below
are some sample configuration files for both, respectively.
@ -51,7 +51,7 @@ are some sample configuration files for both, respectively.
timeout: 10s
api_version: v2
scrape_configs:
- job_name: archgw
- job_name: plano
honor_timestamps: true
scrape_interval: 15s
scrape_timeout: 10s