Changes in version 0.1.0 (2026-03-11)                  

Initial Release

  - Thin wrapper around the Rust crate llm_json for repairing malformed
    JSON strings, particularly those generated by Large Language Models

Core Features

JSON Repair Functions

  - repair_json_str() - Repair malformed JSON strings
    
      - Handles missing quotes around keys and values
      - Removes trailing commas
      - Fixes unquoted keys
      - Converts single quotes to double quotes
      - Repairs incomplete arrays and objects
      - Auto-completes missing values with sensible defaults

  - repair_json_file() - Read and repair JSON from files
    
      - Direct file reading and repair
      - Clear error messages for missing files, permission issues, etc.

  - repair_json_raw() - Repair JSON from raw byte vectors
    
      - Useful for binary data or reading from connections
      - Validates UTF-8 encoding

New: Return R Objects Directly

  - Added return_objects parameter to all repair functions
      - When TRUE, returns R objects (lists, vectors) instead of JSON
        strings
      - Works with all three repair functions: repair_json_str(),
        repair_json_file(), and repair_json_raw()

New: Schema Validation System

  - Complete schema validation and type conversion system inspired by
    the structr package

  - Schema builder functions:
    
      - s_map() - Define JSON objects with named fields
      - s_integer() - Integer fields with optional defaults
      - s_double() - Double/numeric fields with optional defaults
      - s_string() - String fields with optional defaults
      - s_logical() - Logical/boolean fields with optional defaults
      - s_array() - Arrays with typed elements
      - s_any() - Accept any JSON type

  - Schema features:
    
      - Type coercion (e.g., string "30" to integer 30)
      - Optional fields with .optional = TRUE
      - Default values with .default parameter
      - Required field validation
      - Nested schemas for complex structures
      - Works with both return_objects = TRUE and return_objects = FALSE

  - Schema benefits:
    
      - Ensures correct R types (integer vs. double vs. string)
      - Provides clear error messages for missing required fields
      - Handles missing optional fields gracefully
      - Validates JSON structure matches expectations