The two agents co-evolve in a closed loop: the Solver's current performance provides a capability-aware training signal that shapes the Synthesizer's generation distribution, while the Synthesizer ...

The Python extension now supports multi-project workspaces, where each Python project within a workspace gets its own test tree and Python environment. This document explains how multi-project testing ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...