# Agents Agents is a library that enables you to run powerful agents in a few lines of code! It is: - lightweight - understandable (we kept abstractions to the minimum) - the only library with first-class support for Code Agents, i.e. agents that write their actions in code! Here is a demo: ## How lightweight is it? We strived to keep abstractions to a strict minimum. You could go lower and code it all yourself, but some of this stuff is non-trivial. For instance, if you define a format for tool expression, you have to specify the same format in your system prompt, your parser, and your possibke error logging to let the LLM correct itself. ## Code agents? We can let LLMs powering agentic systems write their actions in code. This approach is demonstrated to work better than the current industry practice of letting the LLM output a dictionary of the tools it wants to calls: [uses 30% fewer steps](https://huggingface.co/papers/2402.01030) (thus 30% fewer LLM calls) and [reaches higher performance on difficult benchmarks](https://huggingface.co/papers/2411.01747). Head to [./conceptual_guides/intro_agents.md] to learn more on that. Especially, since code execution can be a security concern (arbitrary code execution!), we provide options at runtime: - a secure python interpreter to run code more safely in your environment - a sandboxed environment.

Learn the basics and become familiar with using Agents. Start here if you are using Agents for the first time!

Practical guides to help you achieve a specific goal: create an agent to generate and test SQL queries!

Conceptual guides

High-level explanations for building a better understanding of important topics to build better functioning agents.

Reference

General, horizontal tutorials.