LLMR0.6.3 package

Bind tools to a config (provider-agnostic)

Build Factorial Experiment Design

Cache LLM API Calls

Parallel API calls: Fixed Config, Multiple Messages

Parallel API calls: Multiple Configs, Fixed Message

Parallel experiments with structured parsing

Parallel LLM Processing with Tibble-Based Experiments (Core Engine)

Robustly Call LLM API (Simple Retry)

Parallel API calls: Parameter Sweep - Vary One Parameter, Fixed Messag...

Call an LLM (chat/completions or embeddings) with optional multimodal ...

Disable Structured Output (clean provider toggles)

Enable Structured Output (Provider-Agnostic)

Generate Embeddings in Batches

Chat Session Object and Methods

Create an LLM configuration (provider-agnostic)

Vectorized structured-output LLM

Apply an LLM prompt over vectors/data frames

Data-frame mutate with structured output

Mutate a data frame with LLM output

Parse structured fields from a column into typed vectors

Parse structured output emitted by an LLM

Validate structured JSON objects against a JSON Schema (locally)

LLMR Response Object

Log LLMR Errors

Parse Embedding Response into a Numeric Matrix

Reset Parallel Environment

Setup Parallel Environment for LLM Processing