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Per-request LLM settings that override persona defaults.

All fields are optional — only the fields that differ from the persona's configured LLM need to be supplied. Used both over the wire (API requests) and for multi-model comparison, where one override is supplied per model.

Attributes: model_configuration_id: Exact model configuration to use. Preferred over the name-based fields — provider display names are not unique, so only the id routes unambiguously. model_provider: LLM provider display name. When None, the persona's default provider is used. model_version: Specific model version string (e.g. "gpt-4o"). When None, the persona's default model is used. temperature: Sampling temperature in [0, 2]. When None, the persona's default temperature is used. display_name: Human-readable label shown in the UI for this model, e.g. "GPT-4 Turbo". Optional; falls back to model_version when not set.