feat；私聊回滚wait，添加记忆总结模型配置

pytests/A_memorix_test/test_summary_importer_model_config.py

@@ -12,12 +12,24 @@ from src.services import llm_service as llm_api
 
 def _fake_available_models() -> dict[str, TaskConfig]:
     return {
+        "memory": TaskConfig(
+            model_list=["memory-model"],
+            max_tokens=512,
+            temperature=0.4,
+            selection_strategy="random",
+        ),
+        "utils": TaskConfig(
+            model_list=["utils-model"],
+            max_tokens=256,
+            temperature=0.5,
+            selection_strategy="random",
+        ),
         "replyer": TaskConfig(
-            model_list=["test-model"],
+            model_list=["replyer-model"],
             max_tokens=128,
             temperature=0.7,
-            selection_strategy="priority",
-        )
+            selection_strategy="random",
+        ),
     }
 
 
@@ -35,7 +47,63 @@ def test_resolve_summary_model_config_uses_auto_list_when_summarization_missing(
     resolved = importer._resolve_summary_model_config()
 
     assert resolved is not None
-    assert resolved.model_list == ["test-model"]
+    assert resolved.model_list == ["memory-model"]
+
+
+def test_resolve_summary_model_config_auto_falls_back_to_utils_then_planner(monkeypatch):
+    importer = SummaryImporter(
+        vector_store=None,
+        graph_store=None,
+        metadata_store=None,
+        embedding_manager=None,
+        plugin_config={},
+    )
+
+    monkeypatch.setattr(
+        llm_api,
+        "get_available_models",
+        lambda: {
+            "utils": TaskConfig(model_list=["utils-model"]),
+            "planner": TaskConfig(model_list=["planner-model"]),
+            "replyer": TaskConfig(model_list=["replyer-model"]),
+        },
+    )
+    resolved = importer._resolve_summary_model_config()
+    assert resolved is not None
+    assert resolved.model_list == ["utils-model"]
+
+    monkeypatch.setattr(
+        llm_api,
+        "get_available_models",
+        lambda: {
+            "planner": TaskConfig(model_list=["planner-model"]),
+            "replyer": TaskConfig(model_list=["replyer-model"]),
+        },
+    )
+    resolved = importer._resolve_summary_model_config()
+    assert resolved is not None
+    assert resolved.model_list == ["planner-model"]
+
+
+def test_resolve_summary_model_config_auto_does_not_fallback_to_replyer(monkeypatch):
+    monkeypatch.setattr(
+        llm_api,
+        "get_available_models",
+        lambda: {
+            "replyer": TaskConfig(model_list=["replyer-model"]),
+            "embedding": TaskConfig(model_list=["embedding-model"]),
+        },
+    )
+
+    importer = SummaryImporter(
+        vector_store=None,
+        graph_store=None,
+        metadata_store=None,
+        embedding_manager=None,
+        plugin_config={},
+    )
+
+    assert importer._resolve_summary_model_config() is None
 
 
 def test_resolve_summary_model_config_rejects_legacy_string_selector(monkeypatch):