The FHIR toolset includes three main components: indexing static FHIR packages into an SQLite database for fast lookup and search; designing human-readable URI schemes to uniquely identify resources across different versions and contexts; and building handler functions that leverage Pydantic models and a consistent pattern to validate inputs, query the database, and return results. Each component is designed with clarity, simplicity, and robustness in mind, ensuring efficient retrieval of FHIR resource definitions for AI assistants.
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