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Update remaining arch references in docs
- Rename RST cross-reference labels: arch_access_logging, arch_overview_tracing, arch_overview_threading → plano_* - Update label references in request_lifecycle.rst - Rename arch_config_state_storage_example.yaml → plano_config_state_storage_example.yaml - Update config YAML comments: "Arch creates/uses" → "Plano creates/uses" - Update "the Arch gateway" → "the Plano gateway" in configuration_reference.rst - Update arch_config_schema.yaml reference in provider_models.py - Rename arch_agent_router → plano_agent_router in config example Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@ -41,7 +41,7 @@ The request processing path in Plano has three main parts:
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These two subsystems are bridged with either the HTTP router filter, and the cluster manager subsystems of Envoy.
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Also, Plano utilizes `Envoy event-based thread model <https://blog.envoyproxy.io/envoy-threading-model-a8d44b922310>`_. A main thread is responsible for the server lifecycle, configuration processing, stats, etc. and some number of :ref:`worker threads <arch_overview_threading>` process requests. All threads operate around an event loop (`libevent <https://libevent.org/>`_) and any given downstream TCP connection will be handled by exactly one worker thread for its lifetime. Each worker thread maintains its own pool of TCP connections to upstream endpoints.
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Also, Plano utilizes `Envoy event-based thread model <https://blog.envoyproxy.io/envoy-threading-model-a8d44b922310>`_. A main thread is responsible for the server lifecycle, configuration processing, stats, etc. and some number of :ref:`worker threads <plano_overview_threading>` process requests. All threads operate around an event loop (`libevent <https://libevent.org/>`_) and any given downstream TCP connection will be handled by exactly one worker thread for its lifetime. Each worker thread maintains its own pool of TCP connections to upstream endpoints.
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Worker threads rarely share state and operate in a trivially parallel fashion. This threading model
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enables scaling to very high core count CPUs.
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@ -130,8 +130,8 @@ Once a request completes, the stream is destroyed. The following also takes plac
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* The post-request :ref:`monitoring <monitoring>` are updated (e.g. timing, active requests, upgrades, health checks).
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Some statistics are updated earlier however, during request processing. Stats are batched and written by the main
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thread periodically.
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* :ref:`Access logs <arch_access_logging>` are written to the access log
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* :ref:`Trace <arch_overview_tracing>` spans are finalized. If our example request was traced, a
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* :ref:`Access logs <plano_access_logging>` are written to the access log
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* :ref:`Trace <plano_overview_tracing>` spans are finalized. If our example request was traced, a
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trace span, describing the duration and details of the request would be created by the HCM when
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processing request headers and then finalized by the HCM during post-request processing.
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@ -1,4 +1,4 @@
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.. _arch_overview_threading:
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.. _plano_overview_threading:
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Threading Model
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===============
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