JoiXJddlmZmZddlmZmZmZmZGddeZdS))ABCabstractmethod)ListDictAnyOptionalc eZdZdZedefdZe d dedeeee fde eeee fdefdZ dS) BaseLLMz,Abstract base class for LLM implementations.returncdS)z%Return the display name of the model.N)selfs +/root/projects/butler/slack_bot/llm/base.pyget_model_namezBaseLLM.get_model_names  NmessagecontexttoolscdS)ac Generate a response for the given message and context. Args: message: The user's input message. context: Conversation history (list of dicts with 'role' and 'content'). tools: Optional list of tool definitions. Returns: The text response from the LLM. Nr )rrrrs rgenerate_responsezBaseLLM.generate_response s $ r)N) __name__ __module__ __qualname____doc__rstrrrrrrrr rrr r s66    ^  15    d38n% T#s(^,-     ^   rr N) abcrrtypingrrrrr r rrrsu########,,,,,,,,,,,,     c     r