Hugging Face team evaluates Apidog as a Stoplight alternative for AI API workflows

A Hugging Face team member is evaluating Apidog as an alternative to Stoplight for managing APIs associated with Hugging Face models and Inference Endpoints. The goal is to consolidate API design, documentation, testing, and automation into a single workflow.

The proposed migration process involves four key steps: importing existing OpenAPI specifications to maintain contract consistency, validating authentication and schema compliance before connecting to inference endpoints, running automated CLI tests to catch regressions, and integrating these validations into CI/CD pipelines like GitHub Actions.

This shift aims to simplify the workflow for teams building AI applications by combining design-first approaches with debugging, mocking, and command-line automation capabilities.