Configuration class for prompt optimization. This class manages configuration parameters for natural language processing tasks, automatic

Handles the optimization of prompts using either DSPy or meta-prompt backend. Attributes: config (Config): Configuration for opt

Manages the state and lifecycle of a prompt optimization session. Attributes: session_id (str): Unique identifier for the sessio

Batch processor for multiple prompt optimizations.

Custom metrics for prompt optimization evaluation.

Available DSPy modules.

Represents a feedback or annotation on a prompt. Attributes: id (str): Unique identifier for the feedback text (str): Th

Manages storage and retrieval of feedback.

Wrapper class to maintain compatibility with the old API

Handles logging for individual optimization sessions. Attributes: session_id (str): ID of the session being logged app_l

Manages multiple optimization sessions with persistence.

Configuration for a few common huggingface datasets.

Manages Language Model initialization and configuration for different providers

Class to manage the lambda penalty value for metrics calculations.