| as.data.frame.llm_chat_session | Stateful chat session constructor |
| 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 |
| chat_session | Stateful chat session constructor |
| get_batched_embeddings | Generate Embeddings in Batches |
| head.llm_chat_session | Stateful chat session constructor |
| 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 |
| print.llm_chat_session | Stateful chat session constructor |
| reset_llm_parallel | Reset Parallel Environment |
| setup_llm_parallel | Setup Parallel Environment for LLM Processing |
| summary.llm_chat_session | Stateful chat session constructor |
| tail.llm_chat_session | Stateful chat session constructor |