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Changelog

Source: NEWS.md

LLMR 0.6.2

New Features

  • setup_llm_parallel() changed parameter order to accept numeric positional argument for workers.
  • llm_mutate() adds a shorthand form: llm_mutate(answer = "<prompt>" | c(system=..., user=...), .config=...).
  • llm_mutate() gains .structured flag: set .structured = TRUE to enable JSON output with automatic parsing (equivalent to calling llm_mutate_structured()).
  • llm_mutate_structured() now supports shorthand syntax: llm_mutate_structured(result = "{text}", .schema = schema).

Improvements

  • Enhanced .fields documentation to clarify auto-extraction behavior and nested path support.
  • Clarified that .schema = NULL enables JSON mode without strict schema validation.
  • Added comprehensive examples demonstrating new structured output features in vignettes.

Bug Fixes

  • Removed unused internal function .category_from_condition in parallel utilities.
  • Fixed build_factorial_experiments() documentation to correctly describe return value columns.
  • Corrected call_llm_par() default value for backoff_factor parameter (now correctly documented as 3).
  • Added missing @importFrom purrr declarations for imported functions.

LLMR 0.6.1

  • Fixed bug in that affected claude calls.

LLMR 0.6.0

CRAN release: 2025-08-26

Breaking changes

  • Returns and objects:
  • call_llm() in generative mode now returns an llmr_response object by default. Use as.character(x) to extract text; print(x) shows a concise status line; helpers include finish_reason(), tokens(), and is_truncated().
  • Legacy json= arguments are removed. Generative calls always return an llmr_response.

New

  • Improved API key handling.
    1. You can give the key name instead of actual token
    2. Even if actual token is provided, it is immediately turned into a system variable and not stored directly
  • json output and fixed structure are now possible.
  • llm_mutate can inject multiple pieces of text from columns.