latent.optimize.tasks¶
Prefect @task wrappers for prompt optimization.
Functions¶
analyze_optimization¶
Analyze an OptimizationResult as a Prefect task.
Args: result: OptimizationResult from an optimizer.
Returns: StatisticalReport with trajectory analysis.
optimize_prompt¶
optimize_prompt(agent: Any, train_data: list[dict[str, Any]], metric: Any, optimizer_type: str = 'dspy', max_iterations: int = 10, optimizer_kwargs: dict[str, Any] | None = None, dspy_metric: Any = None, ace_metric: Any = None) -> Any
Run prompt optimization as a Prefect task.
Args: agent: A BaseAgent (or Judge) to optimize. train_data: Training data rows. metric: Evaluation metric callable. optimizer_type: One of "dspy", "ace", "combined", "autoresearch". max_iterations: Maximum optimization iterations. optimizer_kwargs: Extra kwargs passed to the optimizer constructor. dspy_metric: Override metric for "dspy" optimizer or the DSPy stage of "combined". ace_metric: Override metric for "ace" optimizer or the ACE stage of "combined".
Returns: OptimizationResult from the optimizer.