# Changelog (Auto Generated by Claude Code with GLM model)


<details>
<summary>Click to expand v1.13.36 details</summary>

## [1.13.36] - 2026-02-23

### Fixed
- **Guard**: Fixed false positives in security validation
  - Added line-start anchor (`^\s*`) to all DANGEROUS_PATTERNS to prevent matching commands in the middle of lines
  - Fixed `describe`, `summarize`, and `capture confirm variable rm` being incorrectly flagged as dangerous
  - Commands like `rm`, `do`, `shell` are now only matched at line start (allowing indentation)
  - Removed duplicate `\bdo\s+.*` pattern

</details>

<details>
<summary>Click to expand v1.13.35 details</summary>

## [1.13.35] - 2026-02-22

### Added
- **Data Info**: Variable labels support for Stata .dta files
  - `get_data_info` now returns variable labels in `vars_detail` for DTA files
  - Added `_get_var_extra_info` hook method in base class for subclass extensibility

### Fixed
- **Data Info**: Unified extension validation across CSV and Excel handlers
  - Both now use `self.suffix` and `self.supported_extensions` consistently
  - Removed redundant `valid_extensions` local variables

### Changed
- **CLI**: Added `--source` option for Docker image registry selection
- **Docker**: Detect architecture instead of OS for platform flag

### Documentation
- Enhanced mkdocs config with i18n and theme features
- Added Chinese translations for i18n support
- Added collapsible new features section and fixed usage links

### CI
- Added mkdocs-static-i18n to gh-pages workflow

</details>

<details>
<summary>Click to expand v1.13.34 details</summary>

## [1.13.34] - 2026-02-16

### Changed
- **Docker Refactor**: Complete Docker image architecture redesign
  - Now using [AEA Data Editor's Stata images](https://github.com/AEADataEditor/docker-stata) as base
  - No longer distributes Stata installer - users only need to provide license file
  - New image naming convention: `stata-mcp_{VERSION}_{EDITION}` (e.g., `stata-mcp_19_5_mp`)
  - Supports StataNow 19.5, 18.5, and Stata 18 with mp/se/be editions
  - 9 image variants built via GitHub Actions matrix

### Added
- **CLI**: Enhanced `sandbox-install` command with new options
  - `--version` / `-V`: Specify Stata version (19_5, 18_5, 18)
  - `--edition` / `-e`: Specify Stata edition (mp, se, be)
  - `--tag`: Specify Docker image tag (default: latest)
  - Example: `stata-mcp sandbox-install -V 19_5 -e mp -l /path/to/stata.lic`

### Fixed
- Docker build permissions and lowercase repository name issues in GitHub Actions

### Documentation
- Updated Docker guide with new image naming and CLI options
- Added license notice acknowledging StataCorp and AEA Data Editor
- Added recommendation note for Docker beginners

</details>

<details>
<summary>Click to expand v1.13.33 details</summary>

## [1.13.33] - 2026-02-15

### Added
- **Docker Support**: Full Docker containerization support for Stata-MCP
  - Added Dockerfile for containerized Stata-MCP deployment
  - Added GitHub Actions workflow for Docker image build and push to GHCR
  - Supports Stata 17/18/19 with configurable installer URL
- **CLI**: New `sandbox-install` command for Docker-based installation
  - Install Docker-based Stata-MCP to MCP clients (Claude, Cursor, Cline, etc.)
  - Configurable options: license file, work directory, CPU/memory limits, image tag
  - Usage: `stata-mcp sandbox-install -l /path/to/stata.lic -c claude`

### Changed
- **Dockerfile**: Use local source code instead of PyPI for development builds

### Documentation
- **Docker Guide**: Added comprehensive Docker documentation (docs/docker.md)
  - Image pull instructions for GHCR and DockerHub
  - Container running examples with parameter explanations
  - MCP client configuration for Docker-based setup
  - Building from source with local/remote installers
- **Index**: Added Docker to Advanced Features section

</details>

<details>
<summary>Click to expand v1.13.32 details</summary>

## [1.13.32] - 2026-02-06

### Changed
- **CLI Refactor**: Redesigned CLI structure with subcommands for better usability
  - Replaced `stata-mcp --agent` with `stata-mcp agent run` subcommand
  - Replaced `stata-mcp --install` with `stata-mcp install` subcommand
  - Added support for `-c/--client` option to specify installation target (claude, cc, cursor, cline, codex)
  - Set `-t/--transport` default to `stdio` explicitly
- **Documentation**: Comprehensive documentation updates
  - Added new CLI reference guide (docs/cli.md) with complete command documentation
  - Updated all existing documentation with new CLI syntax
  - Updated README and translations (cn, fr, sp) with new command examples
  - Updated mkdocs.yml navigation to include CLI Reference

### Breaking Changes
- **CLI Commands**: Flag-based commands changed to subcommands
  - `stata-mcp --agent` → `stata-mcp agent run`
  - `stata-mcp --install [client]` → `stata-mcp install -c [client]`
  - Users will need to update scripts and documentation using old syntax

</details>

<details>
<summary>Click to expand v1.13.31 details</summary>

## [1.13.31] - 2026-02-03

### Fixed
- **Code Quality Improvements**: Fixed 8 code issues discovered through AI code reviews
  - **ado_package_install**: Made `source` parameter case-insensitive to match documentation (e.g., "GitHub" now works)
  - **logging.disable()**: Added missing required level argument to prevent TypeError when logging is disabled
  - **Windows Path Handling**: Removed unicode_escape processing that corrupted Windows paths (e.g., `C:\new\data` → `C:\n` + ew)
  - **Config Directory**: Unified configuration directory from inconsistent `~/.stata_mcp` and `~/.stata_mcp` to single `~/.statamcp`
  - **write_dofile**: Added microsecond precision to timestamps (from `%Y%m%d%H%M%S` to `%Y%m%d%H%M%S%f`) to prevent filename collisions
  - **Code Comments**: Translated Chinese code comments to English for international team maintainability

### Removed
- **Deprecated Modules**: Removed deprecated code to simplify codebase
  - Removed `claude_proj` module (entire directory, 261 lines)
  - Removed `StataFinderOLD` class (154 lines of dead code)

### Technical
- **Code Review**: Issues were discovered through multiple AI code review tools (ChatGPT, Codex, and other reviewers)
- **Breaking Change**: Config directory changed from `~/.stata_mcp` to `~/.statamcp` - users may need to migrate configurations
- **Performance**: Microsecond precision in timestamps reduces collision probability from 1/second to 1/microsecond (1,000,000x improvement)

</details>


<details>
<summary>Click to expand v1.13.30 details</summary>

## [1.13.30] - 2026-02-02

### Fixed
- **macOS StataNow BE Detection**: Fixed StataNow BE not being detected on macOS
  - StataNow BE uses CamelCase executable filename (e.g., `StataBE`) instead of lowercase (e.g., `stata-be`)
  - FinderMacOS now tries multiple possible executable name formats:
    - `stata-{edition}` (traditional lowercase format)
    - `Stata{EDITION}` (StataNow CamelCase format)
    - `Stata{Edition}` (alternative capitalization)
  - Ensures compatibility with StataNow BE/SE/MP while maintaining backward compatibility
  - Related to issue #35

### Technical
- **Compatibility**: Extended Stata finder to support both traditional and StataNow naming conventions
- **Backward Compatibility**: Existing Stata installations continue to work (first option tried is original format)

</details>


<details>
<summary>Click to expand v1.13.29 details</summary>

## [1.13.29] - 2026-02-01

### Fixed
- **Environment Variable Documentation**: Fixed inconsistent environment variable names in documentation
  - Corrected debug mode environment variable from `STATA_MCP_DEBUG` to `STATA_MCP__IS_DEBUG` in usage docs
  - Fixed working directory environment variable documentation showing duplicate names
  - Clarified that `STATA_MCP__CWD` (double underscore) is the new standard
  - Added deprecation notice for legacy `STATA_MCP_CWD` (single underscore) variable
  - Documentation now matches actual code implementation

- **Stata CLI Error Detection**: Added early error detection when Stata CLI cannot be found
  - Created new `StataCLINotFoundError` exception class for clear error messages
  - Modified `Config.STATA_CLI` to check if finder returns None and raise exception immediately
  - Added helpful configuration instructions in error message
  - Previously, None was propagated to execution stage causing confusing runtime errors
  - Now raises at MCP server startup with actionable guidance

- **Logging Configuration**: Fixed file logging configuration not being respected
  - Removed fallback logic that forced file logging when no handlers existed
  - Changed condition from `len(logging_handlers) == 0 or LOGGING_FILE_HANDLER_ON` to just `LOGGING_FILE_HANDLER_ON`
  - File logging is now only enabled when explicitly configured
  - Previously, `LOGGING_FILE_HANDLER_ON=false` did not prevent file log creation when console logging was disabled

- **Security and Path Handling**: Changed Unix-like systems to use `shell=False` for subprocess execution
  - Changed subprocess.Popen `shell` parameter from `True` to `False` in macOS/Linux execution paths
  - Fixed incorrect usage of `shell=True` with list arguments (only first element was used)
  - Paths with spaces now work correctly on Unix-like systems
  - Eliminated potential shell command injection risk
  - Updated comments to reflect correct subprocess usage pattern
  - Windows execution remains unchanged (correctly uses `shell=True` with string arguments and manual quoting)

### Technical
- **Security**: Improved subprocess security by avoiding shell parsing on Unix-like systems
- **Reliability**: Early error detection prevents confusing runtime failures
- **User Experience**: Configuration now behaves as documented and expected
- **Documentation**: Environment variable documentation now matches implementation

</details>


<details>
<summary>Click to expand v1.13.28 details</summary>

## [1.13.28] - 2026-01-26

### Changed
- **Data Handler Registry Pattern**: Implemented registry pattern for extensible data format handler management
  - Added `DATA_INFO_REGISTRY` in base.py for automatic extension-to-handler mapping
  - Implemented `__init_subclass__` for automatic subclass registration with their supported extensions
  - Added `get_data_handler()` function for retrieving handlers by file extension
  - Replaced hardcoded `CLASS_MAPPING` with dynamic registry in `get_data_info()`
  - Added `supported_extensions` class attribute to all data handler classes (CsvDataInfo, DtaDataInfo, ExcelDataInfo)
  - Improved imports organization in mcp_servers.py with relative imports
  - Enhanced extensibility - new data formats can be added without modifying core get_data_info function

- **Code Naming Consistency**: Renamed internal base module files for better naming conventions
  - Renamed `_base.py` to `base.py` in agent_as_rag module
  - Renamed `_base.py` to `base.py` in data_info module
  - Updated all import statements to reflect new file names
  - Removed leading underscore convention as these are not private modules

### Removed
- **Sandbox Module Cleanup**: Removed unused sandbox infrastructure code
  - Cleaned up 136 lines of unused sandbox module code
  - Removed sandbox README and core module implementations
  - Removed jupyter_manager implementation
  - Streamlined codebase by removing experimental features

### Technical
- **Code Architecture**: Enhanced extensibility through registry pattern implementation
- **Maintainability**: Improved code organization with consistent naming conventions
- **Developer Experience**: Easier to add new data format support through registration mechanism

</details>


<details>
<summary>Click to expand v1.13.27 details</summary>

## [1.13.27] - 2026-01-25

### Added
- **Performance Monitoring System**: Complete RAM monitoring framework for Stata subprocess execution
  - Abstract `MonitorBase` class for extensible monitor implementations
  - `RAMMonitor` implementation with psutil integration for cross-platform RAM tracking
  - Daemon thread-based monitoring with configurable check interval (0.5s default)
  - Automatic process termination when RAM exceeds configured limit
  - Custom exception hierarchy: `StataMCPError` → `RAMLimitExceededError`

- **Configuration System**: Comprehensive monitoring configuration via config and environment variables
  - `IS_MONITOR` global toggle for enabling/disabling monitoring (default: false)
  - `MAX_RAM_MB` configuration property for RAM limit in MB (default: -1, no limit)
  - Environment variable `STATA_MCP__IS_MONITOR` for global toggle
  - Environment variable `STATA_MCP__RAM_LIMIT` for RAM limit configuration
  - Configuration priority: environment variables > config file > defaults

- **Monitor Integration**: Clean separation between monitored and non-monitored execution paths
  - Original execution functions remain unchanged (`_execute_unix_like`, `_execute_windows`)
  - New monitored execution functions (`_execute_unix_like_with_monitors`, `_execute_windows_with_monitors`)
  - `execute_dofile()` routes to appropriate path based on `IS_MONITOR` flag
  - Monitor list passed to `StataDo` constructor for flexibility
  - 100% backward compatible when `IS_MONITOR=false`

### Changed
- **StataDo Architecture**: Enhanced with monitor support and improved execution control
  - Added `monitors` parameter to `StataDo.__init__()` for optional monitor instances
  - Added `IS_MONITOR` boolean property for efficient execution path selection
  - Maintains original behavior when no monitors provided
  - Clean separation of concerns with dedicated monitor execution paths

- **MCP Server Integration**: Wired up RAM monitoring from configuration
  - `RAMMonitor` instantiation based on `config.IS_MONITOR` and `config.MAX_RAM_MB`
  - Monitor list passed to `StataDo` constructor during initialization
  - `RAMLimitExceededError` caught and returned as error response to MCP client
  - Nested configuration check for cleaner monitor activation logic

- **Configuration Enhancement**: Added monitor configuration section to config system
  - New `[MONITOR]` section in config.example.toml
  - `IS_MONITOR` and `MAX_RAM_MB` configuration options documented
  - Default configuration ensures monitoring is disabled unless explicitly enabled

### Technical
- **New Dependencies**: Added `psutil>=6.0.0` for cross-platform process monitoring
- **Code Quality**: Clean architecture with abstract base class pattern for extensibility
- **Backward Compatibility**: Original functions unchanged, monitoring opt-in via configuration
- **Performance**: Minimal overhead when monitoring disabled, daemon thread when enabled
- **Error Handling**: Custom exception with detailed RAM usage information
- **Documentation**: Comprehensive docstrings noting feature is "coded by Claude Code with GLM-4.7"

### Notes
- This is a beta feature with monitoring disabled by default
- When `IS_MONITOR=false`, behavior is 100% identical to previous versions
- When `IS_MONITOR=true` and `MAX_RAM_MB` is set, Stata processes are monitored and killed if RAM exceeds limit
- `-1` in config for `MAX_RAM_MB` means no limit (converted to `None`)
- Monitor system designed for extensibility to support timeout monitoring in future

</details>


<details>
<summary>Click to expand v1.13.26 details</summary>

## [1.13.26] - 2026-01-25

### Fixed
- **Windows Log File Completeness**: Added `capture log close` before opening log to prevent incomplete log files
  - Ensures proper log file closure in both Unix and Windows environments
  - Adds working directory (cwd) parameter to StataDo for better execution control
  - Sets cwd in subprocess calls for proper execution context

### Changed
- **Windows Temporary File Management**: Optimized temporary batch dofile handling on Windows
  - Changed temp directory from user directory to system temp directory
  - Uses dofile stem as temporary batch filename instead of timestamp
  - Removed dofile_base_path parameter from StataDo class (no longer needed)

- **Code Quality Improvements**: Enhanced StataDo implementation with better type safety
  - Refactored do.py to use Path types instead of strings
  - Replaced repetitive OS checks with boolean is_unix flag
  - Improved error handling with exception handling in read_log method

- **Security Module Integration**: Replaced validation logic with guard module
  - Replaced _validate_dofile_content with guard module integration
  - Centralized security validation for better maintainability

- **Configuration Enhancements**: Improved configuration and logging system
  - Re-constructed path configuration and IS_GUARD handling
  - Added back logging for output_base_path for better debugging
  - Updated config.example.toml with new configuration options

### Technical
- **Code Quality**: Improved type safety with Path types and boolean flags
- **Error Handling**: Enhanced exception handling throughout StataDo
- **Maintainability**: Centralized validation logic in guard module
- **User Experience**: Better log file completeness and temporary file management

</details>


<details>
<summary>Click to expand v1.13.25 details</summary>

## [1.13.25] - 2026-01-22

### Added
- **Configuration File Support**: Added support for reading configuration from `~/.statamcp/config.toml` file
  - Config priority: Environment variables (highest) > TOML config file > Default values (lowest)
  - Added `Config` class in `src/stata_mcp/config.py` with unified configuration management
  - Type-safe converters: `_to_bool()`, `_to_int()`, `_to_path()` with validators
  - Configuration properties: `IS_DEBUG`, `LOGGING_ON`, `LOGGING_CONSOLE_HANDLER_ON`, `LOGGING_FILE_HANDLER_ON`, `LOG_FILE`, `MAX_BYTES`, `BACKUP_COUNT`, `SYSTEM_OS`, `IS_UNIX`, `STATA_CLI`
  - Added `config.example.toml` for user configuration reference

### Changed
- **mcp_servers.py**: Simplified configuration initialization using centralized `Config` class
  - Removed scattered environment variable reading logic
  - Delegated platform detection and Stata CLI finding to `Config` class

</details>


<details>
<summary>Click to expand v1.13.24 details</summary>

## [1.13.24] - 2026-01-21

### Added
- **Security Guard System**: Implemented comprehensive security validation for Stata dofile execution
  - Added `guard` package with blacklist-based security validation
  - `blacklist.py`: Defines dangerous commands (shell escapes, file operations, external code execution)
  - `validator.py`: Core validation logic with `GuardValidator`, `RiskItem`, and `SecurityReport` classes
  - Integrated guard into `stata_do` function to validate dofiles before execution
  - Returns detailed warnings and blocks execution when dangerous commands are detected
  - Configurable via `STATA_MCP__IS_GUARD` environment variable (default: enabled)

### Security
- **Blacklist Coverage**: Protects against dangerous commands including:
  - Shell escapes: `!`, `!!`, `shell`, `xshell`, `winexec`, `unixcmd`
  - File operations: `erase`, `rm`, `rmdir`, `copy`
  - External code execution: `run`, `do`, `include`

### Testing
- Added comprehensive test suite with 15 test cases covering all security scenarios
- Tests validate dangerous command detection, line number tracking, and edge cases

</details>


<details>
<summary>Click to expand v1.13.23 details</summary>

## [1.13.23] - 2026-01-13

### Added
- **Multi-Agent Client Support**: Extended installer with support for multiple AI agent platforms
  - Added support for Cursor IDE
  - Added support for Cline (VS Code extension)
  - Added support for Codex with TOML-based configuration

### Changed
- **Installer Refactor**: Enhanced installer architecture for better extensibility
  - Moved `command`, `args`, `env` to instance variables for reusability
  - Added `install_to_toml_config` method for TOML-based configurations
  - Simplified configuration management across different clients

### Technical
- **TOML Support**: Added `tomllib` import and TOML formatting helpers

</details>


<details>
<summary>Click to expand v1.13.22 details</summary>

## [1.13.22] - 2026-01-12

### Added
- **Multi-Client Installation Support**: Enhanced installer to support multiple client targets
  - Added `install_to_json_config` method for generic JSON config installation
  - Added `install_to_claude_code` method for Claude Code client support
  - Updated `install` method to accept target client parameter (claude/cc)
  - Support for installing to both Claude Desktop and Claude Code from CLI

### Changed
- **Environment Variable Configuration**: Improved STATA_CLI configuration flexibility
  - Changed `STATA_CLI` and `STATA_MCP_COMMON_CONFIG` to `@property` methods
  - Support reading `STATA_CLI` from environment variable
  - Dynamic configuration loading for better portability

### Enhanced
- **CLI Installation**: Enhanced command-line interface for installation
  - Simplified installation process with direct client target specification
  - Better user experience for installing to different clients

</details>


<details>
<summary>Click to expand v1.13.21 details</summary>

## [1.13.21] - 2026-01-07

### Security
- **Path Traversal Protection**: Enhanced file reading security for `read_file` tool
  - Restricted `read_file` to only access files within the `stata-mcp-folder` directory
  - Added path resolution and validation to prevent symlink-based attacks
  - Implemented security violation logging for audit trails
  - Raises `PermissionError` when attempting to access files outside allowed directory

### Technical
- **Security Hardening**: Prevented unauthorized file system access through path traversal attacks
- **Error Handling**: Enhanced error messages with clear directory restrictions

</details>


<details>
<summary>Click to expand v1.13.20 details</summary>

## [1.13.20] - 2026-01-06

### Changed
- **get_data_info Major Refactor**: Comprehensive improvement to data information retrieval and processing
  - Added `decimal_places` parameter with environment variable support (`STATA_MCP_DATA_INFO_DECIMAL_PLACES`)
  - Enhanced summary statistics consistency across all data types
  - Added cached loading to summary method for improved performance
  - Simplified `get_data_info` function architecture with enriched output structure
  - Added string series method for better string variable handling

### Fixed
- **Metrics Filtering Bug**: Correctly filter metrics in `DataInfoBase._filter()` method
  - Fixed metric filtering logic that was incorrectly processing data metrics
  - Ensures accurate metric selection and reporting in data info output

### Added
- **TSV and PSV Format Support**: Extended data file format compatibility
  - Added support for Tab-Separated Values (TSV) files
  - Added support for Pipe-Separated Values (PSV) files
  - Updated `mcp_servers` to handle new delimiter-separated formats
  - Automatic delimiter detection for seamless file processing

### Changed
- **MCP Architecture Cleanup**: Improved MCP server organization and maintainability
  - Reorganized tool functions order for better code structure
  - Removed all prompt-related code to streamline MCP server implementation
  - Cleaner separation of concerns in MCP server architecture

### Technical
- **Environment Variables**: Added support for decimal precision configuration via environment variables
- **Code Quality**: Enhanced type annotations and function parameter design
- **Performance**: Improved summary method performance with cache integration
- **Maintainability**: Simplified codebase through removal of deprecated prompt features

</details>


<details>
<summary>Click to expand v1.13.19 details</summary>

## [1.13.19] - 2026-01-04

### Changed
- **Cached Summary Loading**: Enhanced summary method with automatic cache loading capability
  - Added `load_cached_summary()` integration in DataInfoBase.summary() method
  - Improved performance by loading from cache when available instead of reprocessing data
  - Maintains backward compatibility with existing functionality
  - Optimized data info retrieval workflow with cache-first approach

### Technical
- **Performance Enhancement**: Reduced data processing time for repeated operations on same datasets
- **Cache Architecture**: Better integration of cached summary loading into main summary workflow

</details>


<details>
<summary>Click to expand v1.13.18 details</summary>

## [1.13.18] - 2026-01-03

### Changed
- **Data Info Refactor**: Simplified get_data_info function and improved architecture
  - Moved cache logic from function level to class level for better maintainability
  - Removed redundant cache lookup in get_data_info tool
  - Enhanced error handling and logging throughout data_info module
  - Improved code organization with clearer separation of concerns

- **Series Classes Enhancement**: Converted to dataclass for better structure
  - Refactored StringSeries and NumericSeries to use @dataclass decorator
  - Added configurable decimal_places parameter for numeric precision control
  - Added string_keep_number parameter to control value list display
  - Improved property-based implementation with type annotations

- **Enriched Data Output**: Enhanced get_data_info return structure
  - Added source field to overview section showing data file path
  - Added var_list to overview showing all variable names
  - Added info_config section with metrics, max_display, and decimal_places settings
  - Enhanced vars_detail with var field for each variable
  - Improved saved_path reporting for cache files

### Added
- **Environment Variable Configuration**: Added support for data_info customization
  - STATA_MCP_DATA_INFO_DECIMAL_PLACES: Control decimal precision (default: 3)
  - STATA_MCP_DATA_INFO_STRING_KEEP_NUMBER: Control string value display (default: 10)

- **Documentation**: Updated get_data_info docstring with complete examples
  - Added detailed return value structure documentation
  - Added comprehensive examples showing string and numeric variable output
  - Improved clarity with full statistical output display

### Technical
- **Configuration Management**: Centralized settings with environment variable support
- **Code Quality**: Improved type safety and code organization
- **Documentation**: Enhanced inline documentation and examples

</details>


<details>
<summary>Click to expand v1.13.17 details</summary>

## [1.13.17] - 2026-01-01

### Added
- **Excel File Support**: Complete support for Excel file formats (.xlsx, .xls) in get_data_info tool
  - New `XlsxDataInfo` class for handling Excel workbook metadata and statistics
  - Automatic detection and processing of Excel files with openpyxl integration
  - Support for both .xlsx and .xls file formats with comprehensive error handling
  - Enhanced data type detection for Excel-derived datasets
  - Improved file format validation for Excel workbooks

- **Enhanced Format Support**: Extended data_info tool with additional delimiter-separated formats
  - Added TSV (Tab-Separated Values) file format support
  - Added PSV (Pipe-Separated Values) file format support
  - Unified CSV/TSV/PSV handling in CsvDataInfo with automatic delimiter detection
  - Extended file extension validation for new formats
  - Improved data processing pipeline for varied text-based formats

### Changed
- **MCP Servers Update**: Enhanced mcp_servers.py with comprehensive format support
  - Updated get_data_info tool to support Excel, TSV, and PSV formats
  - Improved file type detection and routing logic
  - Enhanced error messages for unsupported file formats
  - Better integration of new data format handlers

- **Data Info Architecture**: Improved extensibility for additional file formats
  - Enhanced base data_info classes for better format handling
  - Streamlined file extension validation across all formats
  - Improved type detection for Excel and delimiter-separated files

### Technical
- **New Dependencies**: Added `openpyxl>=3.1.5` for Excel file processing
- **Code Quality**: Enhanced file format detection with cleaner separation of concerns
- **Type Safety**: Improved type annotations for Excel and delimiter-separated file handling

</details>


<details>
<summary>Click to expand v1.13.16 details</summary>

## [1.13.16] - 2025-12-31

### Added
- **Help Command Cache**: Implemented local file caching for Stata help command responses
  - Automatically checks for cached help files before calling Stata
  - Cache files saved with format `help__{command}.txt` in temporary directory
  - Significantly reduces response time for repeated help requests
  - Improves efficiency by avoiding redundant Stata executions

### Changed
- **Centralized Cache Directory**: Enhanced help system with centralized cache management
  - Added STATA_MCP_DIRECTORY constant for ~/.statamcp centralized directory
  - Help cache now stored in ~/.statamcp/help/ for better organization
  - Improved cache directory structure with dedicated help subdirectory
  - Better file management with centralized cache location

- **Help System Refactoring**: Moved help implementation to dedicated module
  - Extracted help logic from mcp_servers.py to stata_help.py
  - Added Help class for better code organization and maintainability
  - Improved separation of concerns with modular help implementation
  - Enhanced code structure for easier maintenance and testing

- **Documentation Language**: Updated help function documentation from Chinese to English
  - Translated Notes section in help function docstring to English
  - Improved international accessibility for English-speaking users
  - Consistent English documentation across the codebase

- **Platform Detection**: Enhanced IS_UNIX detection with explicit platform check
  - Replaced `SYSTEM_OS.lower() != "windows"` with explicit platform check
  - More reliable platform detection across different operating systems
  - Improved code clarity and maintainability

- **Code Quality**: Improved code formatting and style consistency
  - Applied linting rules to ensure consistent code style
  - Better code readability with proper formatting

### Performance
- Dramatically improved response times for repeated help command requests
- Reduced redundant Stata help command executions
- Optimized help system workflow with cache-first approach

</details>


<details>
<summary>Click to expand v1.13.15 details</summary>

## [1.13.15] - 2025-12-30

### Added
- **Enhanced Summary Statistics**: Extended data info summary with three additional statistical measures
  - Added sample size (n) to indicate valid observation count for each variable
  - Added skewness (3rd moment) to measure distribution asymmetry
  - Added kurtosis (4th moment/excess kurtosis) to measure distribution tailedness
  - Provides more comprehensive statistical description for numerical variables
  - Updated docstring examples with real auto.dta dataset outputs

### Changed
- Updated `get_data_info` tool to return 7 statistics instead of 4
- Enhanced docstring examples in both `_base.py` and `mcp_servers.py`
- Improved statistical analysis capabilities for data exploration

</details>


<details>
<summary>Click to expand v1.13.14 details</summary>

## [1.13.14] - 2025-12-27

### Added
- **Help Command Cache**: Implemented local file caching for Stata help command responses
  - Automatically checks for cached help files before calling Stata
  - Cache files saved with format `help__{command}.txt` in temporary directory
  - Significantly reduces response time for repeated help requests
  - Improves efficiency by avoiding redundant Stata executions

- **Data Info Content-Based Caching**: Implemented smart caching mechanism for data information
  - Uses MD5 hash of file content to generate unique cache identifiers
  - Cache filename format: `data_info__{name}_{ext}__hash_{hash}.json`
  - Ensures same filename and content produce identical cache files
  - Checks cache before processing, returns cached result if available
  - Supports `HASH_LENGTH` environment variable to customize hash length (default: 12)
  - Proper exception handling for corrupted or missing cache files

### Performance
- Dramatically improved response times for repeated operations on same data files
- Reduced redundant Stata help command executions
- Optimized data info retrieval workflow with cache-first approach

</details>


<details>
<summary>Click to expand v1.13.13 details</summary>

## [1.13.13] - 2025-12-25

### Added
- **StataNow Support**: Enhanced macOS StataFinder to support StataNow directory detection
  - Added StataNow to the feature name search list with priority over Stata
  - Improved multi-version Stata installation detection for better compatibility
  - Returns list of found Stata installations and selects highest version via max()

- **User Applications Directory**: Extended Stata search paths to include user directory
  - Added ~/Applications to macOS search paths for user-installed Stata
  - Maintains priority: system /Applications > user ~/Applications
  - Better support for non-admin Stata installations

### Changed
- **Logging System Optimization**: Enhanced logging infrastructure with improved debug control
  - Added IS_DEBUG flag for better debug mode control
  - Moved log file to ~/.statamcp/stata_mcp_debug.log for centralized management
  - Improved path handling with expanduser() and absolute() for reliability
  - Added parent directory creation with proper error handling
  - Added project name logging when using custom working directory

- **MCP Server Initialization**: Reorganized initialization order for better reliability
  - Moved MCP Server initialization after system checks
  - Removed Claude Code-specific client handling for cross-platform compatibility
  - Improved error message format with system information

</details>


<details>
<summary>Click to expand v1.13.12 details</summary>

## [1.13.12] - 2025-12-23

### Fixed
- **Icon Fetch Timeout Issue**: Added error handling for FastMCP icon initialization to prevent server startup failures
  - Implemented try-except block to gracefully fallback when icon URL fetch times out
  - Ensures server can start successfully even with network connectivity issues
  - Maintains full functionality regardless of icon loading status

### Improved
- **MCP Instructions Clarity**: Enhanced server instructions for better LLM understanding
  - Simplified and optimized instructions text for clearer context
  - Emphasized do-file as the minimum operation unit
  - Clarified session management behavior (no session config)

</details>


<details>
<summary>Click to expand v1.13.11 details</summary>

## [1.13.11] - 2025-12-17

### Fixed
- **Critical macOS Compatibility Issue**: Resolved MCP server startup failures for macOS users
  - Fixed resource decorator parameter mismatch by updating URI from `help://stata/{cmd}` to `help://stata/{cmd}?is_save={is_save}`
  - Resolved ValueError that prevented server initialization due to function signature mismatch
  - Restored full functionality for macOS users upgrading from v1.13.9 to v1.13.10

- **ADO Package Installation Logic**: Improved platform-specific package management reliability
  - Replaced problematic try-except block with clean if-else platform separation
  - Removed complex exception handling that could cause silent failures or inconsistent error messages
  - Ensured stable behavior across Unix (macOS/Linux) and Windows platforms

### Improved
- **Cross-Platform Path Handling**: Enhanced file path consistency across operating systems
  - Replaced `str(path)` with `path.as_posix()` in functions returning file paths
  - Updated `results_doc_path`, `write_dofile`, and `append_dofile` functions for POSIX-style path consistency
  - Improved reliability of file operations across different platforms

- **Code Organization**: Better structural organization for maintainability
  - Moved help class initialization inside IS_UNIX condition block for proper scoping
  - Removed unnecessary `strict_mode` parameter from `write_dofile` function
  - Enhanced code clarity and reduced potential configuration conflicts

### Notes
- This release focuses on fixing critical compatibility issues introduced in v1.13.10
- All macOS users are strongly recommended to upgrade from v1.13.9 or earlier to this version
- Windows users continue to benefit from the package installation improvements introduced in v1.13.10

</details>

<details>
<summary>Click to expand v1.13.10 details</summary>

## [1.13.10] - 2025-12-17

### Added
- **Help Function Enhancement**: Added `is_save` parameter to help function for flexible help content management
  - New `is_save: bool = True` parameter allows users to control whether help content is saved to files
  - Help content is now automatically saved to `tmp_base_path / f"help__{cmd}.txt"` when `is_save=True`
  - Enhanced user experience with optional help content persistence for reference

- **Windows Platform Support for ADO Package Installation**: Enabled cross-platform Stata package management
  - Moved `ado_package_install` function from Unix-only condition block to all platforms
  - Windows users can now install Stata packages from SSC, GitHub, and net sources
  - Added Windows-specific error handling with fallback do-file execution for improved reliability
  - Updated `__all__` exports to include `ado_package_install` for all platform users
  - Enhanced return type annotation for better IDE support and code clarity

### Changed
- **Code Simplification**: Streamlined `stata_do` function log handling logic
  - Simplified conditional log content processing with ternary operator
  - Improved code readability without affecting business logic
  - Maintained identical functionality while reducing code complexity

### Technical
- **Cross-Platform Compatibility**: Enhanced Windows platform support while maintaining Unix/Linux functionality
- **Code Quality**: Improved function parameter design with better type annotations and documentation
- **User Experience**: Expanded feature availability to all supported platforms regardless of operating system

</details>


<details>
<summary>Click to expand v1.13.9 details</summary>

## [1.13.9] - 2025-12-13

### Changed
- **MCP Server Initialization**: Simplified MCP server initialization and dependency management
  - Adjusted MCP version requirement from >=1.20.0 to >=1.16.0 for better compatibility
  - Removed version compatibility checks and complex error handling code
  - Cleaned up commented dependencies in pyproject.toml for cleaner configuration
  - Simplified FastMCP initialization with fixed icon configuration

### Technical
- **Dependency Management**: Streamlined MCP version requirements and compatibility handling
- **Code Simplification**: Removed 53 lines of complex version checking and error handling code
- **Initialization Performance**: Enhanced server startup performance through simplified initialization logic

</details>


<details>
<summary>Click to expand v1.13.8 details</summary>

## [1.13.8] - 2025-12-06

### Changed
- **Agent Architecture Modernization**: Complete refactoring of agent mode with modern framework adoption
  - Implemented new REPLAgent using agents.as framework replacing deprecated LangChain-based implementation
  - Enhanced agent performance and reliability through modern agents.as integration
  - Updated CLI agent mode to leverage new REPLAgent for improved user experience
  - Removed 396 lines of deprecated code from langchain-based mode module

- **Code Quality Enhancement**: Significant codebase cleanup and modernization
  - Removed deprecated langchain-based mode module including agent, prompt generator components
  - Eliminated legacy PMP (Prompt Management Package) system for streamlined architecture
  - Improved maintainability through removal of obsolete code patterns and dependencies
  - Enhanced code organization with modern agent framework adoption

### Technical
- **Framework Migration**: Transitioned from LangChain to agents.as framework for improved agent capabilities
- **Performance**: Enhanced agent execution efficiency and resource utilization
- **Maintainability**: Simplified codebase architecture with modern framework patterns
- **Reliability**: Improved agent mode stability through contemporary framework adoption

</details>


<details>
<summary>Click to expand v1.13.7 details</summary>

## [1.13.7] - 2025-12-05

### Changed
- **System Detection Optimization**: Enhanced system detection logic with IS_UNIX variable
  - Added IS_UNIX variable to replace repetitive `SYSTEM_OS.lower() != "windows"` checks
  - Optimized 4 conditional statements across the codebase for better performance
  - Improved code readability with simplified conditional logic
  - Enhanced maintainability with centralized system detection

- **Module Interface Enhancement**: Added explicit __all__ list for better module exports
  - Introduced comprehensive __all__ list defining public module interface
  - Categorized exports: Core Functions (get_data_info, stata_do, write_dofile, append_dofile)
  - Categorized exports: Utilities (mk_dir, load_figure, read_file)
  - Conditional exports for Unix-specific functions (help, ado_package_install)
  - Improved IDE support and module discoverability

### Technical
- **Performance**: Reduced repetitive string operations with centralized system detection
- **Code Quality**: Enhanced module organization with explicit public interface definition
- **Maintainability**: Centralized system detection logic easier to modify and maintain
- **Developer Experience**: Better IDE autocomplete and module navigation with explicit exports

</details>


<details>
<summary>Click to expand v1.13.6 details</summary>

## [1.13.6] - 2025-12-03

### Fixed
- **Windows Compatibility Issues**: Critical fixes for Windows user experience and cross-platform support
  - Fixed environment variable name from `STATA-MCP-CLIENT` to `STATA_MCP_CLIENT` for proper Windows environment access
  - Disabled help functionality on Windows systems to prevent system crashes during help command execution
  - Disabled ado package installation on Windows systems to ensure stable operation
  - Enhanced cross-platform reliability with Windows-specific conditional code paths

### Changed
- **Function Parameters**: Added `strict_mode` parameter to `write_dofile` function for enhanced control
- **Code Quality**: Fixed grammar typos and improved documentation clarity throughout code comments
- **Platform Detection**: Improved operating system detection with better case-insensitive handling

### Technical
- **Cross-Platform Architecture**: Enhanced Windows support while maintaining functionality for macOS and Linux
- **Error Prevention**: Proactive disabling of problematic features on Windows to prevent crashes
- **Documentation**: Improved code comments and parameter documentation for better maintainability

</details>


<details>
<summary>Click to expand v1.13.5 details</summary>

## [1.13.5] - 2025-11-26

### Changed
- **Logging System**: Enhanced logging infrastructure with rotating file handler
  - Replaced FileHandler with RotatingFileHandler for better log management
  - Added 10MB file size limit with 5 backup files for automatic log rotation
  - Improved log file handling and disk space management

- **Language Detection Optimization**: Improved prompt language detection and configuration
  - Moved language detection logic from mcp_servers.py to utils/Prompt/__init__.py
  - Added STATA_MCP_PROMPT_LANGUAGE environment variable for manual language override
  - Enhanced system language detection with better fallback mechanisms
  - Improved code organization with centralized language management

### Technical
- **Code Quality**: Enhanced import organization and removed unused locale import
- **Configuration**: Improved environment variable handling for better flexibility
- **Reliability**: More robust logging system with automatic rotation and backup management
- **Maintainability**: Better separation of concerns between logging and language detection

</details>


<details>
<summary>Click to expand v1.13.4 details</summary>

## [1.13.4] - 2025-11-25

### Fixed
- **Log File Path Resolution**: Fixed FileNotFoundError when running stata-mcp from directories without "~" subdirectory
- **Path Configuration**: Use Path.home() for log file path instead of hardcoded "~/.statamcp.log"
- **User Experience**: Eliminates need to manually create "~" folder in current directory

</details>


<details>
<summary>Click to expand v1.13.3 details</summary>

## [1.13.3] - 2025-11-24

### Added
- **JSON Export Feature**: Enhanced `summary()` method with `saved_path` parameter for exporting data summaries to JSON files
- **UTF-8 Encoding Support**: JSON files are saved with proper UTF-8 encoding for international character support
- **File Path Tracking**: Summary results now include the saved file path when export is used
- **New `save_to_json` Static Method**: Dedicated method for reliable JSON file writing with error handling
- **Comprehensive Logging**: Added detailed logging throughout the `get_data_info` function for better debugging and monitoring
- **Enhanced Documentation**: Updated function docstrings with complete output examples and usage patterns

### Changed
- **Core Function Refactoring**: Complete restructure of `get_data_info` function implementation for better maintainability and performance
- **Improved Data Processing**: Optimized data processing pipeline with better separation of concerns
- **Numerical Precision**: Standardized to 3-decimal precision in summary outputs for consistency
- **Error Handling**: Enhanced error handling for file operations with proper boolean return status
- **Documentation Examples**: Added real data format examples in function documentation

### Technical Improvements
- **Code Organization**: Better separation of concerns with dedicated helper methods
- **Performance Enhancement**: Optimized data processing pipeline for improved speed
- **Path Validation**: Proper handling of both string and PathLike objects for file paths
- **Maintainability**: Cleaner code structure for easier future development

### Backward Compatibility
- ✅ All changes maintain full backward compatibility
- ✅ Existing code will continue to work without modifications
- ✅ New features are opt-in through additional parameters

</details>


<details>
<summary>Click to expand v1.13.2 details</summary>

## [1.13.2] - 2025-11-23

### Added
- **Logging Control**: Added controller for logging system
  - Environment variable control for flexible logging configuration
  - STATA_MCP_LOGGING_ON for complete logging enable/disable control
  - Separate handlers for console and file output with independent control
  - Improved user experience with customizable logging behavior

</details>

<details>
<summary>Click to expand v1.13.1 details</summary>

## [1.13.1] - 2025-11-22

### Added
- **Comprehensive Logging System**: Implemented complete logging infrastructure throughout MCP server
  - Added comprehensive logging system to MCP server for enhanced debugging and monitoring
  - Added logging to all 8 core tool functions for better operation tracking
  - Improved StataDo constructor documentation for clearer usage guidance

### Changed
- **Enhanced System Observability**: Improved debugging capabilities with comprehensive logging coverage
  - Better visibility into MCP server operations and tool function executions
  - Enhanced error tracking and performance monitoring capabilities
  - Improved developer experience with detailed operation logs

### Technical
- **Logging Infrastructure**: Complete logging system integration with configurable log levels
- **Documentation**: Enhanced constructor documentation for better developer understanding
- **Debugging**: Improved troubleshooting capabilities with comprehensive operation logging

</details>

<details>
<summary>Click to expand v1.13.0 details</summary>

## [1.13.0] - 2025-11-20

### Added
- **Agent-as-Tools Framework**: Complete framework for converting agents to MCP tools with seamless integration
  - New comprehensive agent conversion system for enhanced workflow automation
  - Flexible error handling and type safety throughout the agent-as-tools ecosystem
  - Enhanced module exports for improved discoverability and integration

- **ADO Package Installation Framework**: Comprehensive Stata package management system
  - Complete framework for installing Stata packages from multiple sources
  - SSC (Statistical Software Components) archive integration with enhanced search capabilities
  - Direct GitHub repository installation support for custom packages
  - Net install functionality for additional package distribution methods
  - Extensible architecture supporting future package sources and installation methods


- **Multi-Provider API System**: Enhanced model provider flexibility and management
  - New Provider class for flexible API provider management in set_model functionality
  - Support for multiple LLM providers with unified configuration interface
  - Improved API switching and configuration management for different provider environments

### Security
- **Shell-Escape Protection**: Critical security enhancement to prevent OS command execution
  - Added validation step to block Stata shell-escape directives (`!cmd`, `shell cmd`)
  - Comprehensive input validation before do-file execution to prevent malicious commands
  - Enhanced security posture for production environments (Contributed by @123mutouren321414)
  - Fixes security issue #20 with robust protection mechanisms

### Changed
- **Pathlib Migration**: Complete migration from os.path to pathlib.Path for enhanced cross-platform support
  - System-wide replacement of os.path operations with modern pathlib.Path interface
  - Improved cross-platform compatibility and path handling reliability
  - Enhanced type safety and better IDE support with path operations
  - More robust and maintainable path manipulation throughout the codebase

- **Enhanced Error Handling**: Comprehensive type safety improvements and parameter design enhancements
  - Fixed get_data_info tool write type errors for improved data processing reliability
  - Resolved get_exp_cwd to properly return Path object instead of string
  - Fixed dict -> str function return type errors throughout the application
  - Updated default args in get_data_info tool for better parameter design
  - Improved type annotations and validation across core functionality

- **Code Architecture Enhancements**: Improved maintainability and performance optimizations
  - Refactored help functionality into dedicated StataHelp class for better modularity
  - Enhanced log width issue resolution through terminal size environment configuration
  - Improved overall code organization with better separation of concerns
  - Enhanced performance and reliability through systematic code improvements

### Fixed
- **Type Safety Issues**: Resolved multiple type-related errors for improved application stability
  - Fixed function return type errors that could cause runtime issues
  - Enhanced parameter validation and type checking across core tools
  - Improved error handling for edge cases and invalid input scenarios
  - Better integration between different components with consistent type handling

- **Terminal and Logging Issues**: Resolved display and logging problems for better user experience
  - Fixed log width issues by properly setting terminal size environment variables
  - Improved overall terminal output formatting and readability
  - Enhanced debugging capabilities with better error message formatting

### Technical
- **Code Quality**: Comprehensive improvements to code maintainability and extensibility
  - Enhanced type annotations throughout the application for better IDE support
  - Improved error handling patterns with comprehensive exception management
  - Better separation of concerns with modular architecture enhancements
  - Enhanced documentation and code examples for improved developer experience

- **Performance**: Optimized application performance through systematic improvements
  - Faster startup times with optimized module loading and initialization
  - Improved memory usage patterns through better resource management
  - Enhanced overall application responsiveness and stability
  - Better integration efficiency between different system components

- **Security**: Strengthened security posture with comprehensive protection mechanisms
  - Enhanced input validation and sanitization throughout the application
  - Improved protection against common web and CLI security vulnerabilities
  - Better error handling that prevents information leakage in production environments
  - Comprehensive security review and hardening of core functionality

</details>

<details>
<summary>Click to expand v1.12.1 details</summary>

## [1.12.1] - 2025-11-02

### Added
- **Linux Platform Support**: Complete Linux platform Stata detection with intelligent directory search
  - New `FinderLinux` implementation with configurable search paths for Linux systems
  - Enhanced directory search in `/usr/local/bin` with automatic detection of Stata-related directories
  - Support for custom Stata installation locations through flexible path configuration
  - Full integration with existing StataFinder architecture maintaining cross-platform consistency

- **Enhanced StataEditionConfig**: Advanced comparison logic with comprehensive priority system
  - Priority-based sorting system (mp > se > be > ic > default) with configurable edition preferences
  - Support for float version comparison (e.g., 19.5 > 19) within same edition type
  - Automatic path detection and version parsing from executable names and paths
  - Comprehensive docstring with practical examples for easy integration
  - Fallback priority handling for unknown editions with graceful degradation

- **Project Organization Improvements**: Enhanced directory structure for better maintainability
  - Moved `agent_examples` directory to `source/agent_examples` for centralized documentation
  - Updated all documentation references to reflect new directory structure
  - Maintained file integrity through git rename operations preserving history
  - Improved project structure consistency with better separation of concerns

### Changed
- **Documentation Synchronization**: Ensured consistency across multilingual documentation
  - Updated Chinese README news section with English version content including StataFinder updates
  - Added newest research section with links to reports website for better user guidance
  - Enhanced environment variable configuration documentation with setup examples
  - Maintained consistency between English and Chinese documentation for better user experience

- **StataFinder Architecture**: Enhanced cross-platform support with Linux integration
  - Enabled Linux platform in `FINDER_MAPPING` removing "Not Support now" limitation
  - Improved error handling with proper exception messages for missing Stata installations
  - Enhanced type annotations and documentation throughout the StataFinder system
  - Maintained backward compatibility while adding comprehensive Linux support

### Fixed
- **Documentation Consistency**: Resolved discrepancies between English and Chinese README files
  - Added missing StataFinder update notices with environment variable configuration guidance
  - Included newest research links that were present in English but missing in Chinese version
  - Ensured all news content is properly synchronized across supported languages
  - Improved documentation accuracy for better user guidance and setup experience

### Technical
- **Code Quality**: Enhanced type safety and error handling throughout Linux finder implementation
- **Performance**: Optimized directory search with intelligent path validation and iteration
- **Compatibility**: Maintained full backward compatibility with existing StataFinder functionality
- **Extensibility**: Clean architecture allows easy addition of new platforms and search strategies
- **Documentation**: Comprehensive docstrings and examples for enhanced developer experience

</details>

<details>
<summary>Click to expand v1.12.0 details</summary>

## [1.12.0] - 2025-10-31

### Added
- **Unified Priority System**: Complete StataFinder architecture overhaul with intelligent version and edition comparison
  - New `StataEditionConfig` class with comprehensive version extraction and sorting capabilities
  - Priority system: MP > SE > BE > IC > default with configurable edition preferences
  - Automatic version detection from file paths, directory names, and executable names
  - Support for floating-point versions (e.g., 19.5 > 19) and reasonable version range validation (1-30)
  - Magic methods for easy data access (`__str__`, `__int__`, `__float__`) and path properties

- **Complete Windows Platform Support**: Full implementation of `FinderWindows` with three-layer search strategy
  - **Layer 1**: Standard installation path search (Program Files, Program Files (x86))
  - **Layer 2**: Non-standard custom installation locations with drive scanning
  - **Layer 3**: Deep scan fallback for comprehensive discovery across all drives
  - Intelligent drive detection and depth-limited scanning for performance optimization
  - Skip pattern system to avoid redundant searching of standard directories in non-standard scans

- **Enhanced macOS Application Detection**: Improved `FinderMacOS` with comprehensive app bundle support
  - `/Applications` directory scanning with version extraction from `isstata.*` files
  - Automatic edition detection from Stata app names (StataMP, StataSE, StataBE, StataIC)
  - Support for both `/Applications/Stata` unified directory and separate versioned applications
  - Robust executable path resolution within app bundles (`Contents/MacOS/stata-{edition}`)

### Fixed
- **Critical Empty List Handling**: Prevents crashes when no Stata installations are found
  - Fixed `max()` calls on empty lists in both Windows and macOS finder methods
  - Proper empty list validation before attempting to find highest priority Stata executable
  - Graceful fallback behavior when search layers return no results
  - Enhanced error handling with meaningful exception messages

- **Platform-Specific Search Optimization**: Improved search efficiency and reliability
  - Windows: Simple matching approach replaces overly strict regex filtering for broader compatibility
  - macOS: Better handling of Homebrew installations without version numbers (defaults to version 99)
  - Enhanced path validation and executable checking across all platforms
  - Improved exception handling for permission errors and inaccessible directories

### Changed
- **Architecture Modernization**: Complete StataFinder system redesign for better maintainability
  - Abstract `FinderBase` class with comprehensive documentation and type annotations
  - Platform-specific implementations following consistent design patterns
  - Enhanced `finder.py` integration with improved error handling and exception management
  - Updated utility modules (`usable.py`, `installer.py`, `mcp_servers.py`) for better integration

- **Enhanced Documentation and Type Safety**: Improved code quality and developer experience
  - Comprehensive docstrings for all new classes and methods with examples
  - Full type annotations throughout the StataFinder system
  - Detailed abstract method documentation explaining platform-specific requirements
  - Clear separation of concerns between different search strategies and platform implementations

### Technical
- **Performance**: Three-layer search strategy balances speed with thoroughness
- **Reliability**: Robust error handling prevents crashes across all search scenarios
- **Compatibility**: Maintains backward compatibility while adding new functionality
- **Extensibility**: Clean architecture allows easy addition of new platforms and search strategies
- **Testing**: Comprehensive validation across different installation patterns and platforms

</details>

<details>
<summary>Click to expand v1.11.1 details</summary>

## [1.11.1] - 2025-10-23

### Fixed
- **Cross-Platform Initialization Error**: Critical fix for Windows and Linux StataFinder initialization failure
  - Fixed AttributeError in `src/stata_mcp/core/stata/stata_finder/finder.py:43`
  - Updated finder initialization from `finder_mapping.get(self.current_os)()` to `_os_finders.get(self.current_os, None)`
  - Resolves RuntimeError on Windows and Linux systems during StataFinder initialization
  - Ensures consistent behavior across all supported platforms (macOS, Windows, Linux)

- **Platform Compatibility**: Enhanced cross-platform stability and reliability
  - Proper None handling in StataFinder initialization prevents function call errors
  - Eliminates startup failures for Windows and Linux users
  - Maintains existing functionality for macOS users
  - Improved error prevention with defensive programming practices

### Technical
- **Code Quality**: Single-line critical fix with maximum impact and minimal risk
- **Testing**: Comprehensive cross-platform verification completed
- **Compatibility**: 100% backward compatible with existing installations
- **Stability**: Enhanced system reliability for all supported operating systems

</details>

<details>
<summary>Click to expand v1.11.0 details</summary>

## [1.11.0] - 2025-10-20

### Added
- **Claude Code Client Mode**: Added dedicated support for Claude Code client environment
  - New `-c/--client` CLI option for Claude Code client mode
  - Automatic detection and configuration for Claude Code environment
  - Enhanced working directory handling for client-specific workflows
  - Optimized MCP server integration for Claude Code platform

### Changed
- **Code Architecture**: Major refactoring to improve modularity and maintainability
  - Extracted MCP server initialization and tools from `__init__.py` to dedicated `mcp_servers.py` module
  - Updated main.py import path to use new modular structure
  - Streamlined package initialization with better separation of concerns
  - Improved code organization for enhanced development experience

### Changed
- **Dependency Management**: Optimized dependency structure for cleaner installation
  - Removed python-dotenv from active dependencies as it's no longer required
  - Updated uv.lock file to reflect dependency changes
  - Improved CLI import structure for better performance
  - Enhanced version import using importlib.metadata instead of package-level import

### Changed
- **CLI Enhancements**: Improved command-line interface with new client mode support
  - Restructured CLI imports for better loading performance
  - Added lazy loading patterns for non-critical components
  - Enhanced error handling and user feedback
  - Better separation between different CLI modes (agent, client, mcp)

### Technical
- **Performance**: Enhanced startup performance through optimized imports and modular architecture
- **Maintainability**: Improved code organization with clear separation between server initialization and package metadata
- **Compatibility**: Better support for different client environments and use cases
- **Dependencies**: Streamlined dependency list with removal of unnecessary python-dotenv requirement

</details>

<details>
<summary>Click to expand v1.10.2 details</summary>

## [1.10.2] - 2025-10-17

### Added
- **AgentRunner Evaluation Method**: Complete evaluation workflow implementation in AgentRunner class
  - New `evaluate()` method for seamless ScoreModel integration with automatic task execution and scoring
  - Type conversion handling for processer data (List[Dict] to String format) for ScoreModel compatibility
  - Optional result display with `is_display` parameter for immediate feedback and debugging
  - Automatic conversation history extraction and formatting for evaluation purposes
  - Direct parameter passing and type-safe integration between AgentRunner and ScoreModel

- **Enhanced Evaluation Integration**: Streamlined ScoreModel connection with agent execution
  - Automatic task execution and result processing in a single method call
  - Built-in error handling and validation throughout the evaluation pipeline
  - Comprehensive fallback mechanisms for robust evaluation operations
  - Simplified evaluation workflow with reduced boilerplate code

### Changed
- **Developer Experience**: Improved evaluation workflow simplicity and usability
  - Single `evaluate()` call replaces multi-step evaluation process
  - Automatic handling of type conversions between AgentRunner and ScoreModel components
  - Optional display functionality for real-time monitoring and debugging
  - Enhanced error reporting and validation for evaluation scenarios

- **Type Compatibility**: Enhanced data flow between evaluation components
  - Robust integration between different data structures (List[Dict] to String conversion)
  - Preserved conversation structure and context during type conversion
  - Maintained data integrity throughout the evaluation pipeline
  - Type-safe parameter handling for reliable evaluation workflows

### Technical
- **Code Architecture**: Enhanced AgentRunner with complete evaluation capabilities
  - Clean separation between task execution and evaluation logic
  - Modular design allowing for easy customization and extension
  - Comprehensive type annotations and documentation for evaluation methods
  - Improved error handling and validation throughout the evaluation framework

- **Backward Compatibility**: Maintained full compatibility with existing evaluation workflows
  - All existing AgentRunner functionality remains unchanged
  - New evaluate() method is additive without disrupting existing code
  - Seamless integration with existing ScoreModel evaluation framework
  - Zero impact on current evaluation processes and tools

</details>

<details>
<summary>Click to expand v1.10.1 details</summary>

## [1.10.1] - 2025-10-16

### Added
- **AgentRunner Class**: New comprehensive agent management system for simplified LLM evaluation workflows
  - OpenAI-compatible API integration with support for multiple providers (OpenAI, DeepSeek, etc.)
  - `get_processer()` static method for automatic conversation history extraction from agent results
  - `get_final_result()` static method for extracting final answers from agent outputs
  - Built-in error handling and graceful fallback mechanisms for robust operation
  - Full type annotations and comprehensive documentation with practical examples

- **Comprehensive Testing Framework**: Complete test suite for AgentRunner functionality validation
  - Mock-based testing system for reliable validation without API dependencies
  - Real API testing with automatic fallback to mock tests when credentials unavailable
  - Comprehensive error handling validation and conversation structure verification
  - Integrity checks for method outputs and data format validation
  - Complete test coverage in `tar.py` with both mock and real API scenarios

- **Enhanced Documentation**: Updated evaluation guide with AgentRunner integration examples
  - Step-by-step AgentRunner usage instructions with practical Stata analysis examples
  - Complete code examples for real-world evaluation scenarios including auto dataset analysis
  - Batch evaluation workflows for processing multiple tasks efficiently
  - Custom evaluation criteria and metrics implementation examples
  - Environment setup guides for different API providers (OpenAI, DeepSeek)

### Changed
- **Module Organization**: Enhanced evaluate module structure with better component integration
  - AgentRunner now properly exported in `evaluate.__init__.py` for direct imports
  - Cleaner module structure with improved separation of concerns
  - Better discoverability of evaluation components and enhanced import experience
  - Updated `Evaluation.md` documentation with comprehensive AgentRunner usage examples

- **Developer Experience**: Streamlined evaluation workflow with simplified task execution
  - One-click conversation extraction and result processing through AgentRunner methods
  - Reduced boilerplate code for common evaluation scenarios and use cases
  - Better error messages and debugging information for improved development experience
  - Enhanced integration between agents and evaluation tools

- **Evaluation Framework**: Improved evaluation workflow with better tool integration
  - Seamless integration between AgentRunner and existing ScoreModel functionality
  - Enhanced support for OpenAI Agents result processing and extraction
  - Better handling of complex conversation structures with multi-turn interactions
  - Improved role detection and content extraction for diverse agent response formats

### Fixed
- **Conversation Processing**: Enhanced handling of complex conversation structures in agent outputs
  - Better support for multi-turn conversations with tool interactions and role switching
  - Enhanced role detection and content extraction from various agent response formats
  - More robust parsing of agent response data with improved error resilience
  - Better handling of edge cases in conversation structure processing

- **Testing Reliability**: Enhanced test stability and comprehensive error handling
  - Improved mock data structure for more realistic testing scenarios
  - Better exception handling in test environments with detailed error reporting
  - More comprehensive validation of method outputs and data integrity
  - Enhanced test reliability through better error recovery mechanisms

### Technical
- **Dependencies**: No new dependencies added for AgentRunner functionality
  - AgentRunner uses existing project dependencies (openai-agents, openai, langchain)
  - Lightweight implementation with minimal performance impact
  - Backward compatibility maintained for all existing features and workflows

- **Code Architecture**: Enhanced evaluation module with improved component integration
  - Clean separation between agent execution and result processing logic
  - Modular design allows for easy extension and customization
  - Standardized evaluation criteria based on professional statistical standards
  - Improved error handling and fallback mechanisms throughout the framework

</details>

<details>
<summary>Click to expand v1.10.0 details</summary>

## [1.10.0] - 2025-10-14

### Added
- **LLM Evaluation Module Framework**: Comprehensive evaluation system for Large Language Model performance assessment
  - New `evaluate` package with complete module structure (`src/stata_mcp/evaluate/`)
  - `_model.py` providing structured assessment framework and evaluation criteria
  - `advice.py` for evaluation advice generation and result analysis
  - `score_it.py` for automated LLM performance scoring and assessment
  - Full type annotations and comprehensive documentation for evaluation use

- **ScoreModel Evaluation System**: Automated LLM performance assessment framework
  - Task completion accuracy evaluation based on reference answers
  - Response quality assessment against expected outcomes
  - Process analysis for LLM reasoning quality evaluation
  - Historical message processing for context assessment
  - Quantitative metrics for model comparison and benchmarking

- **Structured Evaluation Framework**: Systematic approach to LLM performance evaluation
  - Task definition and reference answer management system
  - Process evaluation for analyzing LLM reasoning chains
  - Final answer scoring and validation mechanisms
  - Configurable evaluation parameters for different use cases
  - Extensible framework for custom evaluation criteria

- **Research Assessment Tools**: Built-in evaluation capabilities for AI research workflows
  - Standardized evaluation methodology for reproducible research
  - Benchmarking framework for model performance comparison
  - Reference answer management for accuracy assessment
  - Process analysis capabilities for reasoning evaluation

### Changed
- **Enhanced Research Capabilities**: Integrated LLM evaluation into existing Stata-MCP functionality
  - Evaluation framework works seamlessly with current research workflows
  - Optional enhancement for AI performance assessment without disrupting existing functionality
  - Flexible configuration for different evaluation scenarios and research requirements
  - Multi-language support for evaluation feedback and assessment results

- **Documentation Updates**: Enhanced user documentation with LLM evaluation features
  - Updated main README with LLM evaluation module announcement
  - Synchronized Chinese README with new evaluation capabilities
  - Added Evaluation.md documentation for LLM assessment workflows
  - Enhanced quick start guides with evaluation setup examples

### Technical
- **Code Architecture**: New evaluation module with clean separation of concerns
  - Modular design allows for easy extension and customization
  - Standardized evaluation criteria based on professional statistical standards
  - Configurable scoring parameters for different assessment requirements
  - Professional statistical standards integration for academic use

- **Dependencies**: No new dependencies added for evaluation functionality
  - Evaluation module uses existing project dependencies
  - Lightweight implementation with minimal performance impact
  - Backward compatibility maintained for all existing features

</details>

<details>
<summary>Click to expand v1.9.1 details</summary>

## [1.9.1] - 2025-10-12

### Removed
- **WebUI Module**: Completely removed Flask-based web interface and all related functionality
  - Removed Flask dependency and all web-related dependencies from `pyproject.toml`
  - Deleted webui module (`src/stata_mcp/webui/`) including templates, static assets, and utilities
  - Removed `--webui` CLI argument and related webui startup functionality
  - Deleted `WEBUI.md` documentation file

- **Config Module**: Discontinued TOML-based configuration system
  - Removed config module (`src/stata_mcp/config/`) and all configuration management logic
  - Deleted `Configuration.md` documentation file
  - Removed `example.toml` configuration template
  - Simplified project to use environment variable-based configuration only

### Changed
- **Project Structure**: Major simplification to focus on core MCP functionality
  - Streamlined project structure by removing 17 files and 2299 lines of code
  - Reduced dependency footprint for faster installation and smaller package size
  - Improved startup performance by eliminating complex configuration loading
  - Enhanced code maintainability through reduced complexity

- **Dependency Management**: Optimized dependency list for lightweight installation
  - Removed Flask and web-related dependencies
  - Commented out optional jupyter-related dependencies not currently used
  - Maintained all core dependencies for Stata-MCP functionality
  - Updated `uv.lock` to reflect new dependency structure

- **Configuration Simplification**: Streamlined configuration approach
  - Now relies solely on environment variables for configuration
  - Maintained dotenv loading for essential settings
  - Removed complex TOML parsing and validation logic
  - Better defaults for improved out-of-the-box experience

### Technical
- **Code Quality**: Improved maintainability and focus
  - Reduced attack surface by removing web interface components
  - Fewer potential points of failure in initialization
  - Cleaner separation of concerns between CLI and core functionality
  - Better alignment with MCP protocol's primary use case

- **Performance**: Enhanced startup and runtime performance
  - Faster initialization due to reduced module loading
  - Lower memory footprint from fewer loaded dependencies
  - Simplified error handling paths
  - Improved reliability through reduced complexity

### Migration Notes
- **WebUI Users**: Web interface no longer available - use CLI interface instead
- **Config File Users**: TOML configuration no longer supported - migrate to environment variables
- **Minimal Impact**: Most users unaffected as they were already using CLI-based workflow
- **Simple Migration**: Straightforward migration path for affected users

</details>

<details>
<summary>Click to expand v1.9.0 details</summary>

## [1.9.0] - 2025-10-11

### Added
- **Agent as Tool Framework**: Revolutionary multi-agent workflow support for Stata analysis
  - New `StataAgent` class with comprehensive ReAct (Reasoning-Action-Observation) framework
  - Professional Stata Data Analysis Expert role with economic research assistant capabilities
  - Seamless integration as a tool within other AI agents for complex workflows
  - Default comprehensive instructions covering data understanding, code generation, execution, and results interpretation
  - Configurable tool descriptions with clear capabilities and input/output specifications

- **Multi-Model Provider Support**: Enhanced compatibility with various LLM providers
  - Extended type hints to support `OpenAIChatCompletionsModel | Model` union types
  - `set_model()` utility function for easy configuration of alternative providers (DeepSeek, etc.)
  - Native support for OpenAI ChatCompletionsModel with fallback to generic Model interface
  - Improved IDE support and code completion through enhanced type annotations

- **Comprehensive Documentation Suite**: Complete bilingual documentation for Agent as Tool functionality
  - Detailed `agent_as_tool.md` guide with practical examples and use cases
  - Quick start guide for basic usage and advanced configuration examples
  - Integration patterns with existing agent frameworks (OpenAI Agents, LangChain)
  - Multi-provider setup examples with DeepSeek and other OpenAI-compatible models

- **Enhanced README Integration**: Improved user onboarding with Agent as Tool examples
  - New "Agent as Tool" section in main README with working code examples
  - Synchronized Chinese README with all new features and examples
  - Updated news sections highlighting new multi-agent capabilities
  - Clear navigation to detailed documentation and quick start guides

### Changed
- **Agent Architecture Enhancements**: Modular and flexible agent design
  - Clean separation between agent logic and tool integration through `as_tool` property
  - Flexible MCP server configuration with environment variable support
  - Enhanced tracing control for performance optimization and debugging
  - Configurable agent behavior through custom instructions, models, and tools

- **Developer Experience Improvements**: Enhanced usability and flexibility
  - Support for custom agent names, instructions, and tool descriptions
  - Adjustable `max_turns` parameter for complex analysis tasks
  - Configurable `DISABLE_TRACING` for performance optimization
  - Better error handling and connection management for MCP servers

- **Type Safety and IDE Support**: Improved development experience
  - Enhanced type annotations throughout the agent framework
  - Support for union types (`OpenAIChatCompletionsModel | Model`)
  - Better IDE support with improved code completion and error detection
  - Reduced runtime errors through comprehensive type checking

### Technical
- **New Dependencies**: Added `agents` library for Agent as Tool functionality
  - Support for OpenAI Agents framework with seamless integration
  - Enhanced MCP server configuration and management
  - Improved error handling and connection stability

- **Code Organization**: Enhanced module structure for agent functionality
  - New `agent_as_tool` module with `StataAgent` and `set_model` utilities
  - Clean separation of concerns between agent logic and tool integration
  - Improved maintainability and extensibility for future agent features

- **Configuration Flexibility**: Enhanced customization options
  - Environment variable support for Stata CLI configuration
  - Customizable agent instructions and tool descriptions
  - Flexible model provider configuration with easy switching between providers

</details>

<details>
<summary>Click to expand v1.8.2 details</summary>

## [1.8.2] - 2025-10-10

### Added
- **URL-based DTA File Reading**: Implemented support for reading Stata DTA files directly from HTTP/HTTPS URLs
  - Added URL detection and validation in DtaDataInfo class
  - Implemented memory-efficient reading using BytesIO for optimal performance
  - Support for both `http://` and `https://` protocols with comprehensive error handling
  - Seamless integration with existing local file functionality
  - Automatic URL format validation and file extension verification

### Changed
- **Enhanced DtaDataInfo Architecture**: Extended DtaDataInfo class to support both local and remote files
  - Unified `_read_data()` method handles both file sources without code duplication
  - Intelligent file path detection (URL vs local path) for appropriate processing
  - Streamlined DataInfoBase class by removing unnecessary abstract method `_read_data_from_url()`
  - Cleaner separation of concerns between local and remote operations

- **Documentation Updates**: Enhanced API documentation and examples
  - Updated docstring examples in `__init__.py` with comprehensive output format examples
  - Added clear demonstration of remote data analysis capabilities
  - Improved error handling documentation for network operations

### Fixed
- **URL Handling Conflicts**: Resolved Path object conflicts when processing URLs as file paths
  - Fixed URL validation to properly parse and validate HTTP/HTTPS URLs
  - Corrected file extension checking for remote files using URL path parsing
  - Improved error messages to provide clearer feedback for URL-related issues

- **Network Error Handling**: Enhanced error handling for network operations
  - Added comprehensive timeout configurations and status code validation
  - Improved error reporting for network failures, invalid URLs, and file format issues
  - Better exception handling with informative error messages for troubleshooting

### Technical
- **New Dependencies**: Added `requests` library for HTTP operations
  - Robust HTTP client with built-in error handling and retry mechanisms
  - Efficient content handling for binary DTA files with proper encoding
  - Support for HTTP/HTTPS protocols with TLS security

- **Memory Optimization**: Implemented memory-efficient data processing
  - Direct loading into BytesIO eliminates temporary file overhead
  - Streaming content handling for large files with optimal memory usage
  - Zero intermediate file operations for URL-based data access

</details>

<details>
<summary>Click to expand v1.8.1 details</summary>

## [1.8.1] - 2025-10-09

### Fixed
- **MCP Version Compatibility**: Enhanced MCP initialization logic for better version compatibility
  - Improved error handling for different MCP implementations (v1.16.0+)
  - Enhanced FastMCP initialization with fallback mechanisms
  - Better robustness when encountering validation errors
  - Streamlined version-specific initialization logic

### Changed
- **Initialization Process**: Reorganized FastMCP initialization sequence
  - Prioritized MCP v1.16.0+ configuration with proper icon array format
  - Improved fallback error handling with non-config initialization
  - Enhanced user guidance for MCP version upgrades

### Technical
- **Code Robustness**: Improved error handling and initialization reliability
- **Version Support**: Better compatibility with MCP v1.16.0 and newer versions

</details>

<details>
<summary>Click to expand v1.8.0 details</summary>

## [1.8.0] - 2025-10-09

### Added
- **Enhanced Data Info Support**: Added comprehensive multi-format data information functionality
  - New `CsvDataInfo` class for handling CSV file metadata and statistics
  - Enhanced `DtaDataInfo` class for Stata .dta file data information extraction
  - Improved `DataInfoBase` base class with kwargs support for extensibility
  - Enhanced `get_data_info` function with CSV and enhanced DTA file format support
  - Added save functionality with configurable output options
  - Implemented temporary directory management for data processing
  - Full type annotations and comprehensive documentation

- **Enabled Data Info Tool**: Reactivated `get_data_info` functionality
  - Tool decorator re-enabled for production use
  - Support for multiple file formats: .dta, .csv, and Excel files
  - Improved error handling and user feedback
  - Enhanced data summary statistics and metadata extraction

### Changed
- **MCP Version Upgrade**: Updated MCP dependency from v1.15.0 to v1.16.0
  - Enhanced FastMCP initialization logic for better version compatibility
  - Improved error handling for different MCP implementations
  - Better robustness in initialization process
  - Streamlined dependency management

### Technical
- **Code Architecture**: Improved data info module structure with base classes
- **Type Safety**: Enhanced type annotations across data info functionality
- **Module Organization**: Better separation of concerns in data processing modules

</details>

<details>
<summary>Click to expand v1.7.4 details</summary>

## [1.7.4] - 2025-10-09

### Fixed
- **MCP Dependency Conflicts**: Resolved version conflicts in MCP dependency chain
  - Fixed compatibility issues with different MCP implementations
  - Enhanced system stability through streamlined dependency management
  - Improved error handling for dependency-related edge cases

### Technical
- **Dependency Optimization**: Streamlined MCP dependencies for better stability
- **Version Update**: Updated version from 1.7.3 to 1.7.4

</details>

<details>
<summary>Click to expand v1.7.3 details</summary>

## [1.7.3] - 2025-10-06

### Added
- **Enhanced Encoding Support**: Added configurable encoding parameters to dofile functions
  - `write_dofile` now supports optional `encoding` parameter (default: utf-8)
  - `append_dofile` enhanced with configurable encoding for read/write operations
  - Better support for international character sets including Chinese, Japanese, Korean
  - Maintains full backward compatibility with existing code

### Fixed
- **Issue #18**: Resolved potential Chinese character encoding problems in dofile operations
  - Proactive fix for international character set support
  - Enables flexible encoding handling for various environments

### Technical
- **Encoding Flexibility**: Improved dofile encoding handling without breaking changes
- **Version Update**: Updated version from 1.7.2 to 1.7.3

</details>

<details>
<summary>Click to expand v1.7.2 details</summary>

## [1.7.2] - 2025-10-06

### Added
- **Agent Mode Support**: Added comprehensive agent mode functionality
  - New `stata-mcp --agent` command line option for interactive AI-driven analysis
  - `StataAgent` class with LangChain integration for AI-powered Stata operations
  - Support for GPT-5, DeepSeek, and other OpenAI-compatible models
  - ReAct (Reasoning + Acting) prompt template for enhanced AI reasoning
  - MultiServerMCPClient integration for seamless Stata command execution
  - Interactive workflow with data source and task input prompts
- **Agent Examples**: Added complete agent implementation examples
  - LangChain and LangGraph integration examples
  - OpenAI-based agent implementation
  - Advanced prompt generation system for agent tasks
  - Comprehensive documentation and README files
- **Agent Startup Script**: Added `agent.sh` automated startup script
  - Auto-detection of uv package manager with fallback to pip
  - Python 3.11+ version validation and environment checking
  - Interactive installation prompts for uv package manager
  - Automatic package installation and version validation
  - Seamless agent mode launch with proper error handling
  - Cross-platform compatibility with colored output for better UX

### Changed
- **Jupyter Dependencies**: Removed unused Jupyter-related dependencies from `pyproject.toml`
  - Commented out `jupyter-client>=8.6.3` and `stata-kernel>=1.12.2`
  - Commented out `notebook>=7.4.5` and `jupyter>=1.1.1`
  - Streamlined installation process and reduced package size
  - No impact on core Stata-MCP functionality

### Technical
- **Dependency Optimization**: Cleaned up unused dependencies for faster installation
- **Agent Mode Integration**: Enhanced CLI with agent mode support via `-a/--agent` flag
- **Version Update**: Updated version from 1.7.1 to 1.7.2

</details>

<details>
<summary>Click to expand v1.7.1 details</summary>

## [1.7.1] - 2025-10-05

### Changed
- **mk_dir Security**: Re-enabled `mk_dir` tool with enhanced security using pathvalidate library
  - Added comprehensive path validation and sanitization
  - Implemented secure directory creation with proper permissions (0o755)
  - Added detailed error handling for invalid paths and permission issues
  - Improved function documentation with comprehensive parameter descriptions

### Technical
- **Dependencies**: Added `pathvalidate>=3.3.1` for secure path validation
- **Version Update**: Updated version from 1.7.0 to 1.7.1

</details>

<details>
<summary>Click to expand v1.7.0 details</summary>

## [1.7.0] - 2025-10-4

### Added
- **AI-Assisted Research**: Added comprehensive AI-assisted empirical research report with latest findings
- **Prompt Engineering**: Introduced comprehensive task prompt guide and examples for better AI interaction
- **Template System**: Added prompt-generator template for standardized AI request formatting
- **Research Documentation**: Added detailed research report on StataMCP usage for social science research
- **Prompt Examples**: Added two practical examples for PromptGenerator usage
- **Load Figure**: Added `load_figure` functionality for image handling
- **Sandbox Infrastructure**: Added sandbox infrastructure for testing
- **Main Entry Point**: Added `main.py` entry point for local development
- **Multilingual Documentation**: Updated Chinese, French, and Spanish README files
- **Agent Mode Support**: Added agent mode support documentation
- **China Users Guide**: Added specialized documentation for China users
- **LLM Integration Guide**: Added comprehensive LLM documentation for AI integration

### Changed
- **MCP Protocol**: Upgraded MCP from version 1.14 to 1.15 for latest features
- **Module Naming**: Renamed `StataFinder` to `stata_finder` for snake_case consistency
- **Directory Structure**: Improved code organization with better directory structure
- **Contributing Guide**: Updated CONTRIBUTING.md documentation
- **Security Policy**: Enhanced security policy with comprehensive privacy disclaimer
- **Git Standards**: Updated CLAUDE.md with git push restrictions and standards
- **App Icon**: Updated app icon to higher resolution image
- **Project Dependencies**: Updated project dependencies and lock files

### Disabled (Commented Out)
- **Directory Creation**: `mk_dir` tool implemented but decorator commented out for safety considerations
- **Data Info Function**: `get_data_info` tool implemented but decorator commented out

### Fixed
- **ValueError Prevention**: Fixed default instructions setting to avoid ValueError
- **macOS Compatibility**: Fixed errors in StataFinder.macos
- **Citation Corrections**: Fixed citation mistakes in research documentation
- **Environment Configuration**: Fixed environment name errors in configuration
- **Debug Cleanup**: Removed leftover debug print statements

### Technical
- **Code Architecture**: Improved code organization and maintainability
- **Function Safety**: Temporarily disabled certain functions via decorator commenting for security
- **Development Environment**: Enhanced development environment setup
- **Data Info Stability**: Temporarily disabled `get_data_info` for stability considerations

</details>

<details>
<summary>Click to expand v1.6.3 details</summary>

## [1.6.3] - 2025-09-12

### Added
- **MCP Resource Support**: Added `@mcp.resource` decorator for `help` function with URI `help://stata/{cmd}`
- **AI Coding Ability Report**: Added comprehensive comparison chart of different AI models' Stata code generation capabilities in source documentation

### Changed
- **Dependency Upgrade**: Upgraded `mcp[cli]` from `>=1.9.0` to `>=1.13.0` for latest MCP protocol features
- **Version Updates**: Updated version numbers across all documentation files and CITATION.cff

### Technical
- **Enhanced MCP Support**: Improved MCP protocol compatibility with resource URI support

</details>

<details>
<summary>Click to expand v1.6.2 details</summary>

## [1.6.2] - 2025-08-15

### Changed
- **CLI Architecture**: Refactored CLI entry point from `__init__.py` to dedicated CLI module
  - Moved CLI functionality to `stata_mcp/cli/_cli.py`
  - Improved code modularity and separation of concerns
  - Updated entry point configuration in `pyproject.toml`
  - Enhanced maintainability following Python packaging best practices

### Technical
- **Code Organization**: Clean separation between package initialization and CLI execution
- **Entry Point**: Updated to use dedicated CLI module instead of `__init__.py`
- **Module Structure**: Reduced complexity in main module initialization

</details>

<details>
<summary>Click to expand v1.6.1 details</summary>

## [1.6.1] - 2025-08-09

### Fixed
- Fixed Excel file reading issue in `get_data_info` function by adding missing `openpyxl` dependency
- Resolved compatibility issues with Excel (.xlsx) file formats

### Added
- Added `openpyxl>=3.1.5` to project dependencies for Excel file support

### Security
- Updated license from MIT to Apache License 2.0 for better legal protection and compatibility

### Changed
- **License**: Migrated from MIT License to Apache License 2.0
  - Updated LICENSE file to Apache 2.0 full text
  - Updated all documentation files (README, README-cn, README-fr, README-sp)
  - Updated CITATION.cff license field
  - Updated pyproject.toml license field
  - Updated Statement.md in all languages (中文, English, Français)
  - Updated all license badges from MIT to Apache 2.0
  - Ensured consistent Apache 2.0 licensing across entire project

</details>

<details>
<summary>Click to expand v1.6.0 details</summary>

## [1.6.0] - 2025-06-28

### Added
- Initial release with core Stata-MCP functionality
- Support for regression analysis via LLM integration
- Multi-language documentation (English, Chinese, French, Spanish)
- PyPI package distribution
- Jupyter integration support
- Web UI interface
- Cross-platform support (macOS, Windows, Linux)

### Features
- Stata command execution via MCP protocol
- Data analysis automation
- Regression model building assistance
- Statistical output interpretation
- Code generation and debugging support

</details>
