Tutorial-Codebase-Knowledge/docs/SmolaAgents/index.md

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Tutorial: SmolaAgents

SmolaAgents 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.

Source Repository: https://github.com/huggingface/smolagents/tree/076cca5e8a130d3fa2ff990ad630231b49767745/src/smolagents

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

Chapters

1. MultiStepAgent
2. Model Interface
3. Tool
4. AgentMemory
5. PromptTemplates
6. PythonExecutor
7. AgentType
8. AgentLogger & Monitor

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