patientChatNaive: 'patientChatNaive()' is a grapper for the ellmer package to...

In PatientGenerator: Generator of Synthetic Patient Data for the OMOP Common Data Model

patientChatNaive() is a grapper for the ellmer package to send prompts and send the output test set to an LLM. Requires a valid API key.

Description

Priorities: - Accepts a prompt as an input. - Produces a test set in accordance to the provided JSON schema. - Utilizes tools such as CodelistGenerator or Hecate to look up for functions. - Accepts a subsequent prompt with a test set that the LLM has to use as a context

One function for this tasks allow us to: - Test the test sets created by the LLM. - Test prompt engineering. - Test integration of tools functionality. - Allow us to create fast a small set of patients to test analytical packages.

Usage

patientChatNaive(
  prompt = "### Give me a sample of five patients",
  model = "gpt-5.2",
  jsonSchemaPath = NULL
)

Arguments

prompt	A prompt to the LLM, in character or JSON response.
model	The model used by the LLM. Currently only OpenAI models are accepted.
jsonSchemaPath	Path to a JSON schema used to structure the response.

Value

A JSON response that includes: the natural language answer from the LLM and a JSON with test set patients in accordance to the provided schema.

PatientGenerator documentation built on Sept. 16, 2026, 1:06 a.m.