Function apply_model_caps

core/src/config/provider.rs:131–155

Apply model capability flags to an LlmConfig. - `temperature = false` → omit temperature (model ignores it, e.g. o1) - `reasoning = true` + `thinking_budget` set → pass budget to client - `limit.output > 0` → use as max_tokens

(
    mut config: LlmConfig,
    model: &ModelConfig,
    thinking_budget: Option<usize>,
)

/// - `reasoning = true` + `thinking_budget` set → pass budget to client
/// - `limit.output > 0` → use as max_tokens
pub(crate) fn apply_model_caps(
    mut config: LlmConfig,
    model: &ModelConfig,
    thinking_budget: Option<usize>,
) -> LlmConfig {
    // reasoning=true + thinking_budget set → pass budget to client (Anthropic only)
    if model.reasoning {
        if let Some(budget) = thinking_budget {
            config = config.with_thinking_budget(budget);
        }
    }

    // limit.output > 0 → use as max_tokens cap
    if model.limit.output > 0 {
        config = config.with_max_tokens(model.limit.output as usize);
    }

    // temperature=false models (e.g. o1) must not receive a temperature param.
    // Store the flag so the LLM client can gate it at call time.
    if !model.temperature {
        config.disable_temperature = true;
    }

    config
}

impl ProviderConfig {
    /// Find a model by ID