from openai import OpenAI
import llamanet

# Initialize LlamaNet
llamanet.run()

# Create an instance of the OpenAI class (used by LlamaNet)
client = OpenAI()

def send_to_llamanet(msg_list):
    try:
        completion = client.chat.completions.create(
            model="https://huggingface.co/arcee-ai/Arcee-Spark-GGUF/blob/main/Arcee-Spark-IQ4_XS.gguf",
            messages=msg_list,
            temperature=0.6,
            stream=True
        )
        
        response = ""
        for chunk in completion:
            if chunk.choices[0].delta.content is not None:
                response += chunk.choices[0].delta.content
        
        return response, None  # LlamaNet doesn't provide usage info
    
    except Exception as e:
        print(f"Error in send_to_llamanet: {str(e)}")
        return f"Error: {str(e)}", None

def send_to_llm(provider, msg_list):
    if provider == "llamanet":
        return send_to_llamanet(msg_list)
    else:
        raise ValueError(f"Unknown provider: {provider}")