Designing APIs for Agents
Freestyle
API design should prioritize explicit field names, comprehensive documentation, and informative error messages when the primary consumer is AI agents rather than humans, since agents can process large amounts of documentation instantly but struggle with ambiguous naming and vague errors. Freestyle VMs reduced their SDK complexity by removing abstraction layers and allowing agents to read guides and write their own code, resulting in clearer API calls using basic exec commands instead of bespoke packages. APIs designed for agents should eliminate defaults, accept all field values explicitly, and provide precise errors as learning opportunities, shifting from hiding complexity to exposing facts clearly.
Why it matters
Designing APIs for AI agents requires a different approach than those created for human use, as clarity, explicitness, and precise error handling are necessary. Defaults and smoothing out errors can lead to misinterpretation and misuse of the APIs.