Technology Radar
Agent Lightning is an agent optimization and training framework that enables automatic prompt optimization, supervised fine-tuning and agentic reinforcement learning. Most agent frameworks focus on building agents, not improving them over time. Agent Lightning addresses this by enabling teams to continuously improve existing agents without changing their underlying implementation, as it supports frameworks such as AutoGen and CrewAI. It achieves this through an approach called Training-Agent Disaggregation, which introduces a layer between the training and agent frameworks. This layer consists of two core components: the Lightning Server and the Lightning Client. The Lightning Server manages the training process and exposes an API for updated models, while the Lightning Client acts as a runtime that collects traces and sends them back to the server to support training. We recommend teams with established agent deployments explore Agent Lightning as a way to continuously improve agent performance.
