adk-python/contributing/samples/gepa

Example: optimizing an ADK agent with Genetic-Pareto

This directory contains an example demonstrating how to use the Agent Development Kit (ADK) to run and optimize an LLM-based agent in a simulated environment with the Genetic-Pareto prompt optimization algorithm (GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning) on benchmarks like Tau-bench.