build_factorial_experiments
                        Build Factorial Experiment Design
cache_llm_call          Cache LLM API Calls
call_llm                Call LLM API
call_llm_broadcast      Parallel API calls: Fixed Config, Multiple
                        Messages
call_llm_compare        Parallel API calls: Multiple Configs, Fixed
                        Message
call_llm_par            Parallel LLM Processing with Tibble-Based
                        Experiments (Core Engine)
call_llm_robust         Robustly Call LLM API (Simple Retry)
call_llm_sweep          Parallel API calls: Parameter Sweep - Vary One
                        Parameter, Fixed Message
get_batched_embeddings
                        Generate Embeddings in Batches
llm_chat_session        Stateful chat session constructor
llm_config              Create LLM Configuration
llm_fn                  Applies an LLM prompt to every element of a
                        vector
llm_mutate              Mutate a data frame with LLM output
log_llm_error           Log LLMR Errors
parse_embeddings        Parse Embedding Response into a Numeric Matrix
reset_llm_parallel      Reset Parallel Environment
setup_llm_parallel      Setup Parallel Environment for LLM Processing
