def step(self):
        """
        Perform a single optimization step.
        This method updates the parameters of the optimizer by generating new text using the engine and updating the parameter values accordingly.
        It also logs the optimizer response and the updated text.
        Returns:
            None
        """
        for parameter in self.parameters:
            prompt_update_parameter = self._update_prompt(parameter)
            new_text = self.engine(prompt_update_parameter, system_prompt=self.optimizer_system_prompt)
            logger.info(f"TextualGradientDescent optimizer response", extra={"optimizer.response": new_text})
            try:
                new_value = new_text.split(self.new_variable_tags[0])[1].split(self.new_variable_tags[1])[0].strip()
            # Check if we got a cannot be indexed error
            except IndexError:
                logger.error(f"TextualGradientDescent optimizer response could not be indexed", extra={"optimizer.response": new_text})
                raise IndexError(f"TextualGradientDescent optimizer response could not be indexed. This can happen if the optimizer model cannot follow the instructions. You can try using a stronger model, or somehow reducing the context of the optimization. Response: {new_text}")
            parameter.set_value(new_value)
            logger.info(f"TextualGradientDescent updated text", extra={"parameter.value": parameter.value})
            if self.verbose:
                print("-----------------------TextualGradientDescent------------------------")
                print(parameter.value)
            
            if self.do_gradient_memory:
                self.update_gradient_memory(parameter)

        Perform a single optimization step.
        This method updates the parameters of the optimizer by generating new text using the engine and updating the parameter values accordingly.
        It also logs the optimizer response and the updated text.
        Returns:
            None
        
textgrad/optimizer/optimizer.py