Add protocol performance profiles
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@@ -95,6 +95,14 @@ PyTorch/ROCm processed the same duration in approximately 98.6 seconds. These
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are validation observations, not performance guarantees or hardware
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requirements. CPU execution remains supported and may be substantially slower.
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Protocol-generation performance is selected through intentionally abstract
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profiles rather than hardware controls in the GUI. `auto` is the default and
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delegates thread selection to the inference backend; with Ollama this means
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omitting `num_thread` entirely. The explicit resource profiles currently map
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`fast` to 16 Ollama CPU threads, `efficient` to 10, and `powersave` to 4. These
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concrete mappings belong to the backend/configuration boundary and may evolve
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independently of the user-facing profile semantics.
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## Meeting Context and Speakers
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`MeetingContext` is a structured domain object containing meeting metadata,
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