{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/9"}],"enrichment":{"capability":"Agent Lightning optimizes AI agents using reinforcement learning, prompt optimization, and fine-tuning without requiring code rewrites to your existing agent framework.","skillfed_tags":["agent-training","reinforcement-learning","prompt-optimization"],"use_cases":["Train an agent to improve task completion rates using reinforcement learning without rewriting the agent's core logic.","Optimize prompt templates across a multi-agent system by selectively tuning one or more agents while others remain fixed.","Collect and analyze agent trajectories (prompts, tool calls, rewards) to identify failure modes and apply supervised fine-tuning.","Scale agent training across multiple GPUs using distributed dataset streaming and resource synchronization.","Integrate agent training into a continuous improvement loop where the same optimization cycle runs repeatedly as new data arrives."],"what_it_does":"Agent Lightning is a training framework for AI agents that applies reinforcement learning, automatic prompt optimization, and supervised fine-tuning to improve agent behavior. It sits between your existing agent code and a central store, collecting events (prompts, tool calls, rewards) as structured spans and feeding them to pluggable optimization algorithms. The framework claims to work with any agent framework by injecting lightweight helper calls rather than requiring a full rewrite.\n\nThe package depends on 20 runtime libraries spanning web servers (fastapi, flask, uvicorn), observability (opentelemetry-api, opentelemetry-exporter-otlp, opentelemetry-sdk, agentops), LLM clients (litellm, openai), and system utilities (psutil, gpustat, portpicker). It targets modern Python (3.10+) and is designed for teams training agents at scale, including multi-agent systems where you can optimize individual agents selectively. The aging maintenance status (last release 233 days ago) suggests the project may be in research or consolidation phase.","worth_installing":"Yes, with conditions. Install if you are training AI agents and want a framework that layers optimization on top of existing agent code without major rewrites. The low install friction and zero known vulnerabilities are positives. However, the unclear license, aging maintenance (233 days since last release), and 20 heavy dependencies make this a research-stage tool best suited for teams with capacity to debug and contribute back. Verify license terms and test compatibility with your specific agent framework before committing to production use."},"id":"agentlightning","links":{"html":"https://skillfed.io/packages/agentlightning","md":"https://skillfed.io/packages/agentlightning.md","pypi":"https://pypi.org/project/agentlightning/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-12-24","license_spdx":null,"license_treatment":"unclear","name":"agentlightning","python_support":"supports_current","summary":"Agent-lightning is the absolute trainer to light up AI agents."},"popularity":{"monthly_downloads":131250,"position":11597,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.0"}