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Changelog

Source: NEWS.md

tidyprompt (development version)

  • answer_using_r(): fixed error with unsafe conversion of resulting object to character

tidyprompt 0.2.0

CRAN release: 2025-08-25

  • Add provider-level prompt wraps (provider_prompt_wrap()) these are prompt wraps which can be attached to a LLM provider object. They can be applied to any prompt which is sent through this LLM provider, either before or after prompt-specific prompt wraps. This is useful when you want to achieve certain behavior for various prompts, without having to re-apply the same prompt wrap to each prompt

  • answer_as_json(): support ‘ellmer’ definitions of structured output (e.g., ellmer::type_object()). answer_as_json() can convert between ellmer definitions and the previous R list objects which represent JSON schemas; thus, ‘ellmer’ and R list object definitions work with both regular and ‘ellmer’ LLM providers. When using an llm_provider_ellmer(), answer_as_json() will ensure the native ‘ellmer’ functions for obtaining structured output are used

  • answer_using_tools(): support ‘ellmer’ definitions of tools (from ellmer::tool()). answer_using_tools() can convert between ‘ellmer’ tool definitions and the previous R function objects with documentation from tools_add_docs(); thus, ‘ellmer’ and tools_add_docs() definitions work with both regular and ‘ellmer’ LLM providers. When using an llm_provider_ellmer(), answer_using_tools() will ensure the native ‘ellmer’ functions for registering tools are used.

  • answer_using_tools(): because of the above, and the fact that package ‘mcptools’ returns ‘ellmer’ tool definitions with mcptools::mcp_tools(), answer_using_tools() can now also be used with tools from Model Context Protocol (MCP) servers

  • send_prompt() can now return an updated ‘ellmer’ chat object when using an llm_provider_ellmer() (containing for instance the history of ‘ellmer’ turns and tool calls). Additionally fixed issues with how turn history is handled in ‘ellmer’ chat objects

  • send_prompt()’s clean_chat_history argument is now defaulted to FALSE, as it may be confusing for users to see cleaned chat histories without having actively requested this. If return_mode = "full", $clean_chat_history is also no longer included when clean_chat_history = FALSE

  • llm_provider_openai() now supports (as default) the OpenAI responses API, which allows setting parameters like ‘reasoning_effort’ and ‘verbosity’ (relevant for gpt-5). The OpenAI chat completions API is also still supported

  • llm_provider_google_gemini() has been superseded by llm_provider_ellmer(ellmer::chat_google_gemini())

  • Add a json_type & tool_type field to LLM provider objects; when automatically determining the route towards structured output (in answer_as_json()) and tool use (in answer_using_tools()), this can override the type decided by the api_type field (e.g., user can use this field to force the text-based type, for instance when using an OpenAI type LLM provider but with a model which does not support the typical OpenAI API parameters for structured output)

  • Update how responses are streamed (with httr2::req_perform_connection(), since httr2::req_perform_stream() is being deprecated)

  • Fix bug where the LLM provider object was not properly passed on to modify_fn in prompt_wrap(), which could lead to errors when dynamically constructing prompt text based on the LLM provider type

tidyprompt 0.1.0

CRAN release: 2025-08-18

  • New prompt wraps answer_as_category() and answer_as_multi_category()

  • New llm_break_soft() interrupts prompt evaluation without error

  • New experimental provider llm_provider_ellmer() for ellmer chat objects

  • Ollama provider gains num_ctx parameter to control context window size

  • set_option() and set_options() are now available for the Ollama provider to configure options

  • Error messages are more informative when an LLM provider cannot be reached

  • Google Gemini provider now works without errors in affected cases

  • Chat history handling is safer; rows with NA values no longer cause errors in specific cases

  • Final-answer extraction in chain-of-thought prompts is more flexible

  • Printed LLM responses now use message() instead of cat()

  • Moved repository to https://github.com/KennispuntTwente/tidyprompt

tidyprompt 0.0.1

CRAN release: 2025-01-08

  • Initial CRAN release

tidyprompt 0.0.0.9000

  • Initial development version available on GitHub