Hugging Face's smolagents framework incurs a quadratic token cost because its CodeAgent re-sends the entire accumulated memory of every previous step at each reasoning step, rather than sending only n…
A developer fuzzing Hugging Face's smolagents framework discovered a bug where the sandboxed Python interpreter rejected valid Python code, such as dict merges with `**`, and returned misleading error…
A developer found that a single line of math—10 ** 10 ** 8—can freeze an AI agent built with Hugging Face's smolagents library indefinitely, because CPython's arbitrary-precision exponentiation holds …
RelayShield released four smolagents.Tool classes that let an AI agent check its own attack surface before acting, including verifying whether an MCP server is known-malicious, detecting prompt-inject…
Hugging Face's smolagents library enables AI agents to generate and execute SQL queries against databases, using a code-based reasoning approach that allows error correction and verification. The agen…
Hugging Face released ML Intern, an open-source CLI agent that automates machine learning tasks such as fine-tuning models, exploring research papers, and launching GPU training jobs. The tool uses th…
Smolagents, a Python library from Hugging Face for building AI agents, prioritizes code-based actions over JSON tool calls, enabling loops, conditionals, and tool composition. However, this design shi…
A developer breaks down the five essential components of production-grade AI agents: planning, tool use, memory, constraints, and verification. The post argues that agent failures stem from workflow d…
HuggingFace's smolagents framework introduces CodeAgent, a code-writing agent that generates and executes Python in a sandboxed Jupyter kernel environment, replacing traditional tool-calling approache…