Add protocol performance profiles

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2026-09-12 11:50:30 +02:00
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@@ -95,6 +95,14 @@ PyTorch/ROCm processed the same duration in approximately 98.6 seconds. These
are validation observations, not performance guarantees or hardware
requirements. CPU execution remains supported and may be substantially slower.
Protocol-generation performance is selected through intentionally abstract
profiles rather than hardware controls in the GUI. `auto` is the default and
delegates thread selection to the inference backend; with Ollama this means
omitting `num_thread` entirely. The explicit resource profiles currently map
`fast` to 16 Ollama CPU threads, `efficient` to 10, and `powersave` to 4. These
concrete mappings belong to the backend/configuration boundary and may evolve
independently of the user-facing profile semantics.
## Meeting Context and Speakers
`MeetingContext` is a structured domain object containing meeting metadata,