P1idZddlZddlZddlmZmZddlmZmZm Z m Z m Z ddl m Z ejeZGddeZy)z0 Abstract base class for LLM service providers. N)ABCabstractmethod)DictListOptionalAnyUnion)settingsceZdZdZddeedeefdZe ddedeeded e d ed ef d Z ed ed e fdZ ed e eeffdZy) LLMServicez8 Abstract base class for LLM service providers. Napi_keymodelc ||_||_y)z Initialize the LLM service with API key and model. Args: api_key: API key for the service model: Model to use N)r r)selfr rs 9/home/cursorai/projects/iching/ai/services/llm_service.py__init__zLLMService.__init__s  prompt system_prompt temperature max_tokenstop_preturncy)a Get a text completion from the LLM. Args: prompt: The user prompt to send to the model system_prompt: Optional system prompt to set context temperature: Controls randomness (0-1), lower is more deterministic max_tokens: Maximum number of tokens to generate top_p: Nucleus sampling parameter Returns: The text response from the model N)rrrrrrs rget_completionzLLMService.get_completions( r model_keycy)z Change the model being used by the service. Args: model_key: Key from the service's models dictionary in settings Returns: True if successful, False otherwise Nr)rrs r change_modelzLLMService.change_model1s rcy)z Get a dictionary of available models. Returns: Dictionary with model keys and their corresponding model IDs Nr)rs rget_available_modelszLLMService.get_available_models>s r)NN)Ngffffff?ig?)__name__ __module__ __qualname____doc__rstrrrfloatintrboolrrr!rrrr r s  Xc] 6:+.(,%(  ! %-c] $) #&  #  .1   *  c  d     d38n  rr )r%osloggingabcrrtypingrrrrr django.confr getLoggerr"loggerr rrrr1s< #33   8 $: : r