from .base import BaseProvider
import briefcase_ai as bf

class OpenAIProvider(BaseProvider):
    def generate(self, prompt: str, **kwargs) -> str:
        # In a real implementation, we'd import openai and call the API
        # For now, we mock the call and focus on the tracking logic
        
        # 1. Start Decision
        decision = bf.Decision("openai_completion")
        decision.add_input(bf.Input("prompt", prompt, "string"))
        
        params = bf.ModelParameters(self.model_name)
        params.with_provider("openai")
        decision.with_model_parameters(params)
        
        # 2. Execute (Mocked)
        response_text = f"[OpenAI Mock] Response to: {prompt[:20]}..."
        
        # 3. Capture Output
        output = bf.Output("completion", response_text, "string")
        decision.add_output(output)
        
        # 4. Save (Auto-save in a real implementation via global backend)
        # bf.save(decision)
        
        return response_text
