chore: finish renaming UserConfiguration

api/tests/integrations/_run_pipeline_helpers.py

@@ -203,7 +203,7 @@ async def create_workflow_run_rows(
     Returns:
         Tuple of (workflow_run, user, workflow).
     """
-    from api.schemas.user_configuration import UserConfiguration
+    from api.schemas.user_configuration import EffectiveAIModelConfiguration
 
     org = OrganizationModel(provider_id=f"test-org-{provider_id_suffix}")
     async_session.add(org)
@@ -218,7 +218,7 @@ async def create_workflow_run_rows(
 
     await db_session.update_user_configuration(
         user_id=user.id,
-        configuration=UserConfiguration.model_validate(USER_CONFIGURATION),
+        configuration=EffectiveAIModelConfiguration.model_validate(USER_CONFIGURATION),
     )
 
     workflow = await db_session.create_workflow(

api/tests/test_ai_model_configuration_v2.py

@@ -6,7 +6,7 @@ from api.schemas.ai_model_configuration import (
     OrganizationAIModelConfigurationV2,
     compile_ai_model_configuration_v2,
 )
-from api.schemas.user_configuration import UserConfiguration
+from api.schemas.user_configuration import EffectiveAIModelConfiguration
 from api.services.configuration.ai_model_configuration import (
     WORKFLOW_MODEL_CONFIGURATION_V2_OVERRIDE_KEY,
     check_for_masked_keys_in_ai_model_configuration_v2,
@@ -142,7 +142,7 @@ def test_masked_v2_configuration_masks_nested_service_keys():
 
 
 def test_legacy_all_dograh_pipeline_converts_to_dograh_v2():
-    legacy = UserConfiguration(
+    legacy = EffectiveAIModelConfiguration(
         llm=DograhLLMService(
             provider="dograh",
             api_key=["mps-secret"],
@@ -170,7 +170,7 @@ def test_legacy_all_dograh_pipeline_converts_to_dograh_v2():
 
 
 def test_legacy_mixed_dograh_pipeline_converts_to_dograh_v2():
-    legacy = UserConfiguration(
+    legacy = EffectiveAIModelConfiguration(
         llm=OpenAILLMService(
             provider="openai",
             api_key="sk-llm",
@@ -202,7 +202,7 @@ def test_legacy_mixed_dograh_pipeline_converts_to_dograh_v2():
 
 
 def test_legacy_byok_pipeline_converts_to_byok_v2():
-    legacy = UserConfiguration(
+    legacy = EffectiveAIModelConfiguration(
         llm=OpenAILLMService(
             provider="openai",
             api_key="sk-llm",
@@ -235,7 +235,7 @@ def test_legacy_byok_pipeline_converts_to_byok_v2():
 
 
 def test_workflow_model_override_migration_removes_v1_override_and_sets_v2():
-    base = UserConfiguration(
+    base = EffectiveAIModelConfiguration(
         llm=OpenAILLMService(
             provider="openai",
             api_key="sk-llm",
@@ -279,7 +279,7 @@ def test_workflow_model_override_migration_removes_v1_override_and_sets_v2():
 
 
 def test_workflow_model_override_migration_removes_invalid_v1_override_marker():
-    base = UserConfiguration()
+    base = EffectiveAIModelConfiguration()
     workflow_configurations = {
         "ambient_noise_configuration": {"enabled": False},
         "model_overrides": None,

api/tests/test_grok_realtime_wrapper.py

@@ -7,7 +7,7 @@ from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.processors.frame_processor import FrameDirection
 from pipecat.services.xai.realtime import events
 
-from api.schemas.user_configuration import UserConfiguration
+from api.schemas.user_configuration import EffectiveAIModelConfiguration
 from api.services.configuration.registry import GrokRealtimeLLMConfiguration
 from api.services.pipecat.realtime.grok_realtime import (
     DograhGrokRealtimeLLMService,
@@ -120,7 +120,7 @@ async def test_completed_input_transcription_is_broadcast_as_finalized():
 
 
 def test_factory_creates_dograh_grok_realtime_service():
-    user_config = UserConfiguration(
+    user_config = EffectiveAIModelConfiguration(
         is_realtime=True,
         realtime=GrokRealtimeLLMConfiguration(
             provider="grok_realtime",

api/tests/test_masked_key_rejection.py

@@ -5,7 +5,7 @@ from fastapi import FastAPI
 from fastapi.testclient import TestClient
 
 from api.routes.user import router
-from api.schemas.user_configuration import UserConfiguration
+from api.schemas.user_configuration import EffectiveAIModelConfiguration
 from api.services.auth.depends import get_user
 from api.services.configuration.masking import mask_key
 from api.services.configuration.registry import (
@@ -33,7 +33,7 @@ MASKED_KEY = mask_key(REAL_KEY)  # "**************************cdef"
 
 
 def _existing_openai_config():
-    return UserConfiguration(
+    return EffectiveAIModelConfiguration(
         llm=OpenAILLMService(
             provider="openai",
             api_key=REAL_KEY,
@@ -111,7 +111,7 @@ class TestMaskedKeyRejection:
         client = TestClient(app)
 
         new_key = "AIzaSyNewRealKey12345678"
-        updated = UserConfiguration(
+        updated = EffectiveAIModelConfiguration(
             llm=GoogleLLMService(
                 provider="google",
                 api_key=new_key,
@@ -178,7 +178,7 @@ class TestMaskedKeyRejection:
 
         real_credentials = '{"type":"service_account","project_id":"demo-project"}'
         masked_credentials = mask_key(real_credentials)
-        existing = UserConfiguration(
+        existing = EffectiveAIModelConfiguration(
             llm=GoogleVertexLLMConfiguration(
                 provider="google_vertex",
                 api_key=None,

api/tests/test_resolve_effective_config.py

@@ -2,14 +2,14 @@
 TDD tests for resolve_effective_config().
 
 This function deep-merges workflow-level model_overrides onto the global
-UserConfiguration. Fields not overridden inherit from global.
+EffectiveAIModelConfiguration. Fields not overridden inherit from global.
 
 Module under test: api.services.configuration.resolve
 """
 
 import pytest
 
-from api.schemas.user_configuration import UserConfiguration
+from api.schemas.user_configuration import EffectiveAIModelConfiguration
 from api.services.configuration.masking import (
     contains_masked_key,
     mask_workflow_configurations,
@@ -35,9 +35,9 @@ from api.services.configuration.resolve import (
 
 
 @pytest.fixture
-def global_config() -> UserConfiguration:
+def global_config() -> EffectiveAIModelConfiguration:
     """A realistic global user configuration."""
-    return UserConfiguration(
+    return EffectiveAIModelConfiguration(
         llm=OpenAILLMService(
             provider="openai", api_key="sk-global-llm", model="gpt-4.1"
         ),
@@ -59,9 +59,9 @@ def global_config() -> UserConfiguration:
 
 
 @pytest.fixture
-def global_config_realtime() -> UserConfiguration:
+def global_config_realtime() -> EffectiveAIModelConfiguration:
     """Global config with realtime enabled."""
-    return UserConfiguration(
+    return EffectiveAIModelConfiguration(
         llm=OpenAILLMService(
             provider="openai", api_key="sk-global-llm", model="gpt-4.1"
         ),
@@ -302,7 +302,7 @@ class TestRealtimeOverride:
 class TestOverrideOnNullGlobal:
     def test_override_stt_when_global_is_none(self):
         """When global has no STT config, override creates one from scratch."""
-        config = UserConfiguration(
+        config = EffectiveAIModelConfiguration(
             llm=OpenAILLMService(provider="openai", api_key="sk-key", model="gpt-4.1"),
             stt=None,
             tts=None,
@@ -325,7 +325,7 @@ class TestOverrideOnNullGlobal:
 
     def test_override_realtime_when_global_is_none(self):
         """Realtime section can be created from override even if global has none."""
-        config = UserConfiguration(
+        config = EffectiveAIModelConfiguration(
             llm=OpenAILLMService(provider="openai", api_key="sk-key", model="gpt-4.1"),
             is_realtime=False,
             realtime=None,

api/tests/test_ultravox_realtime_wrapper.py

@@ -10,7 +10,7 @@ from pipecat.processors.frame_processor import FrameDirection
 from websockets.exceptions import ConnectionClosedError
 from websockets.frames import Close
 
-from api.schemas.user_configuration import UserConfiguration
+from api.schemas.user_configuration import EffectiveAIModelConfiguration
 from api.services.configuration.registry import UltravoxRealtimeLLMConfiguration
 from api.services.pipecat.realtime.ultravox_realtime import (
     _RESUMPTION_USER_MESSAGE,
@@ -430,7 +430,7 @@ async def test_receive_messages_reports_unexpected_websocket_close():
 
 
 def test_factory_creates_dograh_ultravox_realtime_service():
-    user_config = UserConfiguration(
+    user_config = EffectiveAIModelConfiguration(
         is_realtime=True,
         realtime=UltravoxRealtimeLLMConfiguration(
             provider="ultravox_realtime",

api/tests/test_workflow_text_chat.py

@@ -4,7 +4,7 @@ from unittest.mock import AsyncMock, patch
 import pytest
 
 from api.db.models import OrganizationModel, UserModel
-from api.schemas.user_configuration import UserConfiguration
+from api.schemas.user_configuration import EffectiveAIModelConfiguration
 from api.tests.integrations._run_pipeline_helpers import USER_CONFIGURATION
 from pipecat.tests import MockLLMService
 
@@ -38,7 +38,7 @@ async def _create_user_and_workflow(
 
     await db_session.update_user_configuration(
         user_id=user.id,
-        configuration=UserConfiguration.model_validate(USER_CONFIGURATION),
+        configuration=EffectiveAIModelConfiguration.model_validate(USER_CONFIGURATION),
     )
 
     workflow = await db_session.create_workflow(
@@ -1041,7 +1041,7 @@ async def test_text_chat_session_creation_requires_selected_org_scope(
 
     await db_session.update_user_configuration(
         user_id=user.id,
-        configuration=UserConfiguration.model_validate(USER_CONFIGURATION),
+        configuration=EffectiveAIModelConfiguration.model_validate(USER_CONFIGURATION),
     )
 
     workflow = await db_session.create_workflow(