~zgFddlZddlmZmZddlmZddlZGddeZy)N)ABCabstractmethod)loggerc,eZdZddZedZddZy) AgentBasec.||_||_||_yN)name max_retriesverbose)selfr r r s tC:\Users\bruma\Desktop\finale\rulare ollama remote cu colab\AI-Agents-from-Scratch-using-Ollama\agents\agent_base.py__init__zAgentBase.__init__ s & cyr )r argskwargss rexecutezAgentBase.executes rc d}||jkr |jrKtjd|jd|D]#}tj d|dd|d%t jd| }|d d}|jr%tjd|jd ||Std|jd|jd#t$rD}|d z }tjd|jd |d|d|jYd}~nd}~wwxYw||jkr1)aa Calls the Llama model via Ollama and retrieves the response. Args: messages (list): A list of message dictionaries. temperature (float): Sampling temperature. max_tokens (int): Maximum number of tokens in the response. Returns: str: The content of the model's response. r[z] Sending messages to Ollama:z rolez: contentz llama3.2:3b)modelmessagesmessagez] Received response: z] Error during Ollama call: z. Retry /Nz+] Failed to get response from Ollama after z retries.) r r rinfor debugollamachat Exceptionerror) r r temperature max_tokensretriesmsgresponsereplyes r call_llamazAgentBase.call_llamasR((( q<<KK!DII;.K LM'K r#f+bY8H%IJK";;'% !+I6<<KK!DII;.CE7 KL !DII;&QRVRbRbQcclmnn q1  q +Gs(SZR[[\]a]m]m\nopp q)(((sB(C"" D/+:D**D/N)T)gffffff?)__name__ __module__ __qualname__rrrr,rrrrrs!   $orr)r!abcrrlogururosrrrrr5s!# .o.or