NEWS.md

In LLMAgentR: Language Model Agents in R for AI Workflows and Research

LLMAgentR 0.3.0 (Upcoming Release – May 2025)

New Features

• Reusable Code Agent with Builder Pattern The build_code_agent() function now supports a builder pattern. If user_input is omitted, the function returns a reusable agent (closure) that can handle multiple queries interactively. This allows for flexible integration in iterative coding workflows, similar to the existing build_researcher_agent().

• Reusable Interpreter Agent The build_interpreter_agent() function now also supports a builder pattern. When code_output is omitted, it returns a reusable interpreter function that can process multiple outputs (tables, model results, charts, etc.) on demand. This provides a consistent interface for explaining analysis results dynamically.

Improvements

• Dual Invocation Support Users can now call both build_code_agent() and build_interpreter_agent() in two ways:
• One-shot mode – Provide the input (e.g., user_input, code_output) for immediate interpretation or code generation.

• Builder mode – Omit the input to return a persistent agent function.

• Enhanced Documentation The roxygen examples have been expanded to illustrate both usage patterns clearly for both agents, including structured return objects and typical use cases.

Compatibility

• This update is fully backward-compatible. Existing calls to build_code_agent() and build_interpreter_agent() that use the one-shot pattern will continue to work without modification.

LLMAgentR documentation built on June 8, 2025, 10:02 a.m.