Changes in version 0.3.0 (2026-06-16)                  

changes

  - Removed check_joint() — LLM-based joint validation was unreliable
    (circular LLM self-validation) and its parsing logic was fragile.
  - Removed magrittr dependency. The %>% re-export is no longer
    provided. Use the native R pipe |> (available since R 4.1.0).

Fixes

  - Changed cat() to message() for user-facing output in set_llm() and
    chat_llm(), complying with CRAN best practices.
  - Removed unconditional cat() preview from parse_joint().
  - Fixed joint_prompt() @returns tag (incorrectly stated data.frame;
    now correctly states character string).
  - Added missing @returns tag for set_llm().

                        Changes in version 0.2.2                        

changes

  - remove thinking mode support, the author does not have the energy to
    set up individual thinking adaptation interfaces for the countless
    LLMs.
  - build_joint() now takes a raw LLM response string instead of
    data.frames. Signature changed from build_joint(x, y, key1, key2,
    ...) to build_joint(llm_response, key1, key2). The LLM call and
    prompt construction are now orchestrated by llm_join().

New features

  - llm_join() explicitly orchestrates the full pipeline: joint_prompt()
    → chat_llm() → build_joint().

Fixes

  - Config file moved from ~/.LLMJOIN.yml to
    tools::R_user_dir("llmjoin", "config"), complying with CRAN policy
    on writing to the user home directory.
  - Added missing @examples to set_llm() and check_joint().
  - Set LazyData: false in DESCRIPTION to avoid CRAN NOTE about missing
    data directory.
  - Removed deprecated %>% re-export, validate_llm_config(), and
    test_llm_service_minimal().

                        Changes in version 0.2.1                        

New features

  - Thinking/reasoning support for all providers. chat_llm() enables max
    reasoning intensity by default. Claude: thinking: {type: enabled,
    budget_tokens: 16000}. OpenAI / Gemini: reasoning_effort: "high".
  - Provider layer (R/providers.R) with pluggable .providers registry
    supporting OpenAI, Claude (Anthropic), and Gemini. Four internal
    helpers handle per-provider auth, request body, response parsing,
    and URL construction.
  - Config caching: validate_llm_config() writes VERIFIED: true into the
    YAML after a successful probe, skipping redundant network checks.
  - test_llm_service_minimal() for one-token connectivity probing.
  - %||% null-coalescing operator.

Fixes

  - Replaced tidy-R dependency calls with native R functions, removing
    magrittr from Imports.
  - Fixed chat_llm() input validation: missing .message now properly
    errors.
  - Config validation errors now include the file path and suggest
    set_llm().
  - Modularized auth header construction per provider
    (provider_headers()).

Internal

  - Renamed R/network-utils.R → R/connection.R, R/main.R → R/llmjoin.R.
  - Added R/utils.R with pipe re-export, %||%, httr/jsonlite imports.
  - Added comprehensive test infrastructure using testthat (>= 3.0.0)
    with local_mocked_bindings mock patterns for offline testing.

                        Changes in version 0.2.0                        

New features

  - check_joint() for LLM-based joint validation. Asks the LLM to
    identify problematic mappings and filters them from the result.
  - joint_prompt() for generating structured matching prompts from two
    key columns.
  - tbl2md() for converting data.frames to markdown tables.
  - build_joint() for constructing fuzzy-join mapping tables via LLM.
  - llm_join() for end-to-end fuzzy join: build_joint + optional
    check_joint + merge.
  - set_llm() for configuring LLM service credentials (provider, URL,
    key, model) stored in ~/.LLMJOIN.yml.
  - chat_llm() as the single entry point for LLM API calls, supporting
    OpenAI, Claude, and Gemini providers.

                        Changes in version 0.1.0                        

  - Initial package structure with basic LLM calling capabilities.