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docs/proposals/00x-epp-compliance-proposal/README.md

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@@ -82,16 +82,16 @@ The routing layer is likely to be the most opinion heavy section, as the scope o
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Due to the possibility of this becoming a bit of a dumping ground. The API will keep a _very_ tight scope on which of these route rules are included in the spec. A standard method of extension will be provided if the need to define a custom rule arises.
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#### Flow Controller (WIP - implementation tracked in [#674](https://github.com/kubernetes-sigs/gateway-api-inference-extension/issues/674))
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The flow controller will consume resource regime data, and enforce proper resource sharing between workloads. This will primarily be done through a queuing mechanism [as described here](https://docs.google.com/document/d/1VZL7opFWuwgWquvgiOzLlXAJ633qZ9U-A0ZixGjBgaI/edit?usp=sharing).
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#### Scheduling Layer
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As the Scheduling Layer is the final interface to the entirety of the pool, all configuration will be at the _pool_ level. The default scheduling layer will be an experimentally-backed LB algorithm, with exposed config values.
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The Scheduler will define a strong interface API, so that new scheduling algos may be plugged & dark-launched to test in production traffic without impacting said traffic. Extension is expected to adhere to the [Scheduler Subsystem definition](https://github.com/kubernetes-sigs/gateway-api-inference-extension/pull/603)
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#### Flow Controller (implementation tracked in [#674](https://github.com/kubernetes-sigs/gateway-api-inference-extension/issues/674))
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The flow controller will consume resource regime data, and enforce proper resource sharing between workloads. This will primarily be done through a queuing mechanism [as described here](https://docs.google.com/document/d/1VZL7opFWuwgWquvgiOzLlXAJ633qZ9U-A0ZixGjBgaI/edit?usp=sharing).
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### `Non-extensible`
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#### Ext-Proc Server

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