Use LlmModel and simplify cache clearing

Refactor LLM handling and cache logic: instantiate and pass a LlmModel instance to generate_model_label (rename model_enum -> model) to ensure consistent enum usage when building labels. Remove hasattr guards and directly clear the v2 builder caches during runtime state refresh so cached providers and search results are always attempted to be cleared. Update the AIConditionBlock test fixture to use LlmModel.default() instead of a hardcoded gpt-4o string. These changes simplify the code and standardize LlmModel usage.

autogpt_platform/backend/backend/api/features/admin/execution_analytics_routes.py

@@ -194,8 +194,8 @@ async def get_execution_analytics_config(
         if first_enabled_slug is None:
             first_enabled_slug = registry_model.slug
 
-        model_enum = LlmModel(registry_model.slug)  # Create enum instance from slug
-        label = generate_model_label(model_enum)
+        model = LlmModel(registry_model.slug)
+        label = generate_model_label(model)
         # Add "(Recommended)" suffix to the recommended model
         if registry_model.slug == recommended_model_slug:
             label += " (Recommended)"

autogpt_platform/backend/backend/api/features/admin/llm_routes.py

@@ -39,16 +39,14 @@ async def _refresh_runtime_state() -> None:
         except Exception as e:
             logger.warning("Failed to clear /blocks cache: %s", e)
 
-        # Clear the v2 builder caches (if they exist)
+        # Clear the v2 builder caches
         try:
             from backend.api.features.builder import db as builder_db
 
-            if hasattr(builder_db, "_get_all_providers"):
-                builder_db._get_all_providers.cache_clear()
-                logger.info("Cleared v2 builder providers cache")
-            if hasattr(builder_db, "_build_cached_search_results"):
-                builder_db._build_cached_search_results.cache_clear()
-                logger.info("Cleared v2 builder search results cache")
+            builder_db._get_all_providers.cache_clear()
+            logger.info("Cleared v2 builder providers cache")
+            builder_db._build_cached_search_results.cache_clear()
+            logger.info("Cleared v2 builder search results cache")
         except Exception as e:
             logger.debug("Could not clear v2 builder cache: %s", e)
 

autogpt_platform/backend/backend/blocks/ai_condition.py

@@ -83,7 +83,7 @@ class AIConditionBlock(AIBlockBase):
                 "condition": "the input is an email address",
                 "yes_value": "Valid email",
                 "no_value": "Not an email",
-                "model": "gpt-4o",  # Using string value - enum accepts any model slug dynamically
+                "model": LlmModel.default(),
                 "credentials": TEST_CREDENTIALS_INPUT,
             },
             test_credentials=TEST_CREDENTIALS,