新增: F-01阶段5模型路由调用点接入

src-tauri/src/commands/idea.rs

@@ -187,9 +187,12 @@ pub async fn evaluate_idea(
     let scores = df_ideas::scoring::ScoringEngine::compute_default(&idea);
 
     // 对抗式评估（构造注入：从 DB 读默认 provider 装配 LLM，无 provider/构造失败 → 启发式兜底）
+    // F-01 阶段5: 透传 model_configs 池,evaluate_with_llm 经路由选模型(池空兜底 default_model)。
     let provider = build_default_provider(&state).await;
     let engine = match provider {
-        Some(p) => df_ideas::adversarial::AdversarialEngine::new(Arc::from(p)),
+        Some((p, pool)) => {
+            df_ideas::adversarial::AdversarialEngine::with_pool(Arc::from(p), pool)
+        }
         None => df_ideas::adversarial::AdversarialEngine::heuristic(),
     };
     let eval = engine.evaluate(&idea).await.map_err(err_str)?;
@@ -262,7 +265,12 @@ pub async fn evaluate_idea(
 ///
 /// 复用 `commands::ai::secret::build_provider_for`（resolve→ensure→build 三步），
 /// 与 AI Chat / 项目扫描的 provider 构造路径统一（FR-S1 密钥解析一致）。
-async fn build_default_provider(state: &State<'_, AppState>) -> Option<Box<dyn LlmProvider>> {
+///
+/// 返回 (provider, model_pool):model_pool = 选中 provider 的 model_configs(F-01 阶段5,
+/// 供对抗评估路由)。池空(用户未拉取)→ 调用方兜底 default_model。
+async fn build_default_provider(
+    state: &State<'_, AppState>,
+) -> Option<(Box<dyn LlmProvider>, Vec<df_ai::df_ai_core::model::ModelConfig>)> {
     let providers = state.ai_providers.list_all().await.ok()?;
     let pc = providers
         .iter()
@@ -270,7 +278,7 @@ async fn build_default_provider(state: &State<'_, AppState>) -> Option<Box<dyn L
         .cloned()
         .or_else(|| providers.into_iter().next())?;
     match crate::commands::ai::secret::build_provider_for(&pc) {
-        Ok(p) => Some(p),
+        Ok(p) => Some((p, pc.model_configs.clone())),
         Err(e) => {
             // 密钥不可用:启发式兜底,不阻断评估（与 evaluate_idea LLM 失败降级语义一致）
             tracing::warn!("默认 provider 密钥不可用,对抗评估走启发式: {e}");