Fixed circular import issue.

The Pydantic class will be updated on runtime before using it on calls.

The field now defaults to 700 which is a safe size.

community-contributions/dungeon_extraction_game/game/storyteller/__init__.py

@@ -1,6 +1,6 @@
 """AI Mastered Dungeon Extraction Game Storyteller package."""
 
-from .storyteller import narrate
+from .storyteller import narrate, set_description_limit
 
 
-__all__ = ['narrate']
+__all__ = ['narrate', 'set_description_limit']

community-contributions/dungeon_extraction_game/game/storyteller/storyteller.py

@@ -2,11 +2,11 @@
 
 from typing import List
 
+from annotated_types import MaxLen
 from dotenv import load_dotenv
 from openai import OpenAI
 from pydantic import BaseModel, Field
 
-from ..config import STORYTELLER_LIMIT
 from .tools import handle_tool_call, tools
 
 
@@ -30,7 +30,7 @@ class _character_sheet(BaseModel):
 
 class _response_format(BaseModel):
     game_over: bool
-    scene_description: str = Field(..., max_length=STORYTELLER_LIMIT)
+    scene_description: str = Field(..., max_length=700)
     dungeon_deepness: int
     adventure_time: int
     adventurer_status: _character_sheet
@@ -48,6 +48,11 @@ class _response_format(BaseModel):
         return response_view
 
 
+def set_description_limit(limit):  # HBD: We modify the class definition in runtime.
+    """Update "_response_format" class to set a new "scene_description" max length."""
+    _response_format.model_fields['scene_description'].metadata[0] = MaxLen(limit)
+
+
 # Function definition.
 def narrate(message, history, system_message, client=CLIENT, model=MODEL):
     """Chat with the game engine."""