Release 09-02-2026

.env.example

@@ -16,6 +16,6 @@ GOOGLE_API_KEY=key_here
 LOG_LEVEL=INFO
 LOG_FORMAT=standard
 
-BACKEND_URL=http://localhost:8000/internal/v1
+BACKEND_URL=http://localhost:8000/internal
 
 SECRET_ENCRYPTION_KEY=secure_key_here

src/app/conversation/schemas/request.py

@@ -1,15 +1,14 @@
 from pydantic import BaseModel, Field, field_validator
 from typing import Optional, List, Dict
 
-from src.app.llm_model.enums.ModelName import ModelName
 from src.app.llm_model.enums.ModelProvider import ModelProvider
 from src.core.exceptions import ValidationError
 
 
 class ChatRequest(BaseModel):
     profile_id: str
     query: str
-    model: ModelName
+    model: str
     provider: ModelProvider
     temperature: Optional[float] = Field(default=0.7, ge=0.0, le=2.0)
     max_tokens: Optional[int] = Field(default=None, gt=0)

src/app/llm_model/enums/__init__.py

@@ -1,6 +1,5 @@
-from src.app.llm_model.enums.ModelName import ModelName
 from src.app.llm_model.enums.ModelProvider import ModelProvider
 from src.app.llm_model.enums.QueryType import QueryType
 from src.app.conversation.enums.FileType import FileType
 
-__all__ = [ModelName, ModelProvider, QueryType, FileType]
+__all__ = [ModelProvider, QueryType, FileType]

src/services/llm_service/factory.py

@@ -1,7 +1,7 @@
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from src.app.conversation.schemas import ChatRequest
-from src.app.llm_model.enums import ModelProvider, ModelName
+from src.app.llm_model.enums import ModelProvider
 from src.app.llm_model.repository import LLMModelRepo
 from src.core.exceptions import ValidationError
 from src.core.exceptions.BaseError import BaseError
@@ -63,9 +63,9 @@ async def get_llm_provider(
             raise BaseError(f"Failed to initialize {provider.value} service: {str(e)}") from e
 
     @classmethod
-    async def validate_model(cls, db: AsyncSession, model: ModelName, provider: ModelProvider):
+    async def validate_model(cls, db: AsyncSession, model: str, provider: ModelProvider):
         llm_repo = LLMModelRepo(db).repo
-        llm_model = await llm_repo.get(db=db, code=model.value, provider=provider.label, deleted_at=None)
+        llm_model = await llm_repo.get(db=db, code=model, provider=provider.label, deleted_at=None)
         if llm_model is None or llm_model.get('is_active', False) == False:
             raise BaseError("Model is not in use")
         return llm_model

src/setup/config/config.py

@@ -21,7 +21,7 @@ class Config(BaseSettings):
     anthropic_api_key: str = ""
     google_api_key: str = ""
 
-    backend_url: str = "http://localhost:8000/internal/v1"
+    backend_url: str = "http://localhost:8000/internal"
     timeout: int = 60
     max_retries: int = 3