Vectorized structured-output LLM — llm_fn

Schema-first variant of llm_fn(). It enables structured output on the config, calls the model via call_llm_broadcast(), parses JSON, and optionally validates.

Usage

llm_fn_structured(
  x,
  prompt,
  .config,
  .system_prompt = NULL,
  ...,
  .schema = NULL,
  .fields = NULL,
  .local_only = FALSE,
  .validate_local = TRUE
)

Arguments

x: A character vector or a data.frame/tibble.
prompt: A glue template string. With a data-frame you may reference columns ({col}); with a vector the placeholder is {x}.
.config: An llm_config object.
.system_prompt: Optional system message (character scalar).
...: Passed unchanged to call_llm_broadcast() (e.g. tries, progress, verbose).
.schema: Optional JSON Schema list; if NULL, only JSON object is enforced.
.fields: Optional fields to hoist from parsed JSON (supports nested paths).
.local_only: If TRUE, do not send schema to the provider (parse/validate locally).
.validate_local: If TRUE and .schema provided, validate locally.