LLMR 0.6.3

Improvements

ollama is now supported as a provider, both for generative and embedding models. This, of course, requires a local ollama server to be up.

get_batched_embeddings was giving ugly column names. Now they go from v1 to vn

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).

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.

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.

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.

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.