load_conversation_agent#
- load_conversation_agent(llm: BaseLanguageModel, prompt_template: str | None = None, verbose: bool = False) ConversationAgent[source]#
Return a conversation agent initialized with memory and custom prompts
- Parameters:
llm – Which LLM to use for inference
prompt_template – Prompt template instructing LLM role and response instructions
verbose – If the LLM chain should be verbose
- Returns:
ConversationAgent instance
- Return type: