---
layout: default
title: "SmolaAgents"
nav_order: 20
has_children: true
---

# Tutorial: SmolaAgents

> This tutorial is AI-generated! To learn more, check out [AI Codebase Knowledge Builder](https://github.com/The-Pocket/Tutorial-Codebase-Knowledge)

`SmolaAgents`<sup>[View Repo](https://github.com/huggingface/smolagents/tree/076cca5e8a130d3fa2ff990ad630231b49767745/src/smolagents)</sup> is a project for building *autonomous agents* that can solve complex tasks.
The core component is the **MultiStepAgent**, which acts like a project manager. It uses a **Model Interface** to talk to language models (LLMs), employs **Tools** (like web search or code execution) to interact with the world or perform actions, and keeps track of its progress and conversation history using **AgentMemory**.
For agents that write and run Python code (`CodeAgent`), a **PythonExecutor** provides a safe environment. **PromptTemplates** help structure the instructions given to the LLM, while **AgentType** handles different data formats like images or audio. Finally, **AgentLogger & Monitor** provides logging and tracking for debugging and analysis.

```mermaid
flowchart TD
    A0["MultiStepAgent"]
    A1["Tool"]
    A2["Model Interface"]
    A3["AgentMemory"]
    A4["PythonExecutor"]
    A5["PromptTemplates"]
    A6["AgentType"]
    A7["AgentLogger & Monitor"]
    A0 -- "Uses tools" --> A1
    A0 -- "Uses model" --> A2
    A0 -- "Uses memory" --> A3
    A0 -- "Uses templates" --> A5
    A0 -- "Uses logger/monitor" --> A7
    A0 -- "Uses executor (CodeAgent)" --> A4
    A1 -- "Outputs agent types" --> A6
    A4 -- "Executes tool code" --> A1
    A2 -- "Generates/Parses tool calls" --> A1
    A3 -- "Logs tool calls" --> A1
    A5 -- "Includes tool info" --> A1
    A6 -- "Handled by agent" --> A0
    A7 -- "Replays memory" --> A3
```