Release 0.1.4

Added

• Connectors Support: Added list_connectors function to retrieve active connector mounts from Nexus
• LangGraph Tools: New async function for listing connectors with comprehensive documentation

Changed

• Updated exports in nexus_client.langgraph to include list_connectors
• Enhanced LangGraph integration with connector discovery capabilities

Release 0.1.3

Added

• Path Handling: read_file tool now automatically handles unquoted paths with spaces
• Tests: Added comprehensive unit tests (20 test cases) for path parsing in tests/test_read_file_path_parsing.py

Changed

• read_file Tool: Enhanced to intelligently detect and join path components containing spaces by scanning for line numbers
• Documentation: Improved read_file docstring with examples for paths with spaces

Technical

• Smart path parser detects spaces in filenames by accumulating parts until finding valid line numbers
• Backward compatible: quoted paths continue to work as before
• Handles complex scenarios: long tenant paths, virtual parsed files (*_parsed.{ext}.md), line ranges

Release 0.1.0

Added

• Initial release of nexus-client Python SDK
• Core remote filesystem client (RemoteNexusFS) with Python 3.11+ support
• Async client support (AsyncRemoteNexusFS)
• Remote Memory API client (RemoteMemory, AsyncRemoteMemory)
• LangGraph integration tools (optional dependency)
• Comprehensive test suite (51 tests)
• JSON-RPC 2.0 protocol implementation
• Retry logic with exponential backoff for transient failures
• Support for all core Nexus filesystem operations (read, write, list, grep, etc.)
• Skills API integration
• Semantic search support
• Workspace versioning support

Features

• Lightweight package designed for LangGraph Platform deployments
• Backward compatible API with nexus-ai-fs remote client
• Optional LangGraph dependencies to keep core package minimal
• Comprehensive error handling with custom exception classes
• Connection pooling and timeout configuration
• Support for Python 3.11, 3.12, and 3.13

Technical

• Built with httpx for HTTP client functionality
• Uses tenacity for retry logic
• Uses pydantic for data validation
• CI/CD pipeline with automated testing and PyPI publishing