Agent | Agent Class for LLM Interactions |
AgentAction | AgentAction S3 Class |
build_factorial_experiments | Build Factorial Experiment Design |
cache_llm_call | Cache LLM API Calls |
call_llm | Call LLM API |
call_llm_broadcast | Mode 2: Message Broadcast - Fixed Config, Multiple Messages |
call_llm_compare | Mode 3: Model Comparison - 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 | Mode 1: Parameter Sweep - Vary One Parameter, Fixed Message |
get_batched_embeddings | Generate Embeddings in Batches |
LLMConversation | LLMConversation Class for Coordinating Agents |
llm_config | Create LLM Configuration |
llm_fn | Vectorised LLM transformer |
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 |