TECHNOLOGY PROFILE · TECH-0248
smolagents
Lightweight library for agents using model-selected tools and code.
Reference link only — not reviewed this edition. This profile preserves the prepared catalog’s original descriptions. Advantages depend on the workload; comparisons are editorial, not benchmark results.
Where it has an edge
Small abstractions make an agent's core execution loop easier to inspect than large orchestration stacks.
Best-fit problems
Research prototypes and constrained tool-agent experiments.
Tradeoffs & cautions
Generated code requires real isolation; framework simplicity is not a sandbox.
What to test before choosing
Test interrupted/resumed runs, tool authorization, retrieval quality, cost caps and failure recovery.
Runtime & hardware
Usually application server
Access & licensing
Open-source cores; hosted additions may cost
Execution
Local / self-hosted
Lifecycle
Not independently audited
Comparison basis
Editorial problem-fit judgement; no head-to-head benchmark performed
Connected concepts
Alternatives to investigate
OpenAI Agents SDK · PydanticAI