Smolagents is designed to offer simplicity and LLM-agnostic functionality, allowing agents to write their actions directly in code, enhancing flexibility in workflows.
By connecting LLMs to external systems, Hugging Face's Agent-based architecture allows outputs to drive workflows, distinguishing their approach from traditional LLM systems.
The core principle of smolagents centers on having an LLM create actions that involve external calls, leveraging programming languages over JSON for better expressiveness.
Hugging Face engineers emphasize that many real-life challenges exceed the confines of predefined workflows, necessitating a shift toward more adaptable agentic systems.
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