Canonical: https://instain.ru/en/ai/huggingface-smolagents/ Language: en Hugging Face Python Agents Library # smolagents. Code agents with a configurable execution environment 4.35 / 5 [Directory score](https://instain.ru/en/ai/huggingface-smolagents/#editorial-rating) [Official website ](https://huggingface.co/docs/smolagents/index) In CodeAgent, the model records steps like Python, which are then run by the configured performer. The list of tools and the boundaries of the environment are set separately. ![Help Hugging Face with Agent Interfaces smolagents](https://instain.ru/assets/images/huggingface-smolagents-screen-314ef21bee78-1200.webp) Help Hugging Face with agent interfaces smolagents. [Open the source ](https://huggingface.co/docs/smolagents/reference/agents#smolagents.CodeAgent) ## When the agent is comfortable to consider himself A reporting assistant can group spreadsheet rows and calculate totals. CodeAgent in smolagents fits this scenario. The model produces a short Python snippet and the executor runs it in a configured environment. The application can return both the figures and the operations that produced them. If an existing function can do the entire job, expose it as a separate tool and compare the two approaches on the same data. ## How to limit the training calculation Take a table with imaginary expenses. Give access only to its copy and allow the necessary library for processing lines. First, ask to group the records and calculate the result. In the second request, intentionally specify a file outside of the allowed set. Check the failure on the executive environment log. The model’s claim that it read the file itself says nothing about the operation performed. ## Results that can be verified Run normal lines, empty value and repeat one entry. When you diverge, open the step code and find the place where the set of lines has changed. Before working with other people's files, separately check which directories are mounted, whether the network is available and what keys the process sees. The list of allowed imports helps to limit the code, and environmental rights set boundaries that persist even with a failed instruction for the model. Separately save the source data and the version of the allowed dependencies for rerun. ## Suitable tasks - Check Allowed Calculations over the Study Table - Track tool call sequence Features ## Strengths - There is a code agent and an agent with tool calls - The guide describes local and remote executors Things to consider ## Limitations - Generated code needs isolation and a review of access permissions - Results depend on the model and the connected tools ## Selection and conditions Free access Yes Trial period Not confirmed No sign-up required Not confirmed Russian interface Not confirmed Local installation Yes API Not confirmed “Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms. Input formats Table, Code Result Data, Code ### Terms The library is open source. Model usage, an external runtime, and compute may incur separate costs. Generated code needs isolation and a review of access permissions. From task to first result ## Practical example Task Check Allowed Calculations over the Study Table What to prepare A training table of expenses and a separately created file to which the test agent does not have access. ### Task brief or prompt Calculate the amounts by groups of expenses. Use only the table that you have issued. Save the code and results of each check. ### Expected result A table of amounts and a log of permitted transactions in an isolated environment. ### How to check the result - Calculate the total for each group with manual calculation. - Make sure the Executor rejects access to the file outside of the issued set. An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted. Check details ## Official sources - [Review of the library smolagents ](https://huggingface.co/docs/smolagents/index) - [Agent Interfaces smolagents ](https://huggingface.co/docs/smolagents/reference/agents) - [Hugging Face Code Execution Guide ](https://huggingface.co/docs/smolagents/main/tutorials/secure_code_execution) This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use. About the tool Developer Hugging Face Category [Code](https://instain.ru/en/category/code/) Access You need Python, a model, and a code executor. Choose how the executor runs and which dependencies it may load during setup. Payment The library is open source. Model usage, an external runtime, and compute may incur separate costs. API No separate API specified [Developer terms ](https://huggingface.co/docs/smolagents/main/tutorials/secure_code_execution) Directory score 4.35 / 5 Features 4.30 / 5 Workflows 4.20 / 5 Ecosystem 4.40 / 5 Documentation 4.50 / 5 Scores are an editorial guide to the directory. They are not user reviews or the results of personal testing. [See the methodology ](https://instain.ru/en/methodology/)