* feat: add entry-point plugin system
* fix: harden plugin config and client loading
* docs(workflow): add detailed manual for publishing reme-auto-fin to PyPI
- Provide step-by-step instructions for updating project.version and merging branches
- Explain dependency verification for reme-ai on PyPI during build
- Specify requirements for GitHub Actions secret configuration and version uniqueness
- Describe manual workflow triggering and input of version number
- Recommend publishing order for related projects
- Clarify that only manual dispatch triggers publishing, no automatic triggers on push or tag
* feat: support plugin-defined component types
* refactor: simplify plugin configuration
* fix: isolate plugin loading and defer client fallback
* refactor: freeze built-in component registry
* fix: isolate config entry point loading
* fix: complete auto-fin package metadata
* test(background_steps): add comprehensive tests for batch processing and memory management
- Add test for catalog upserts in batches of at most 100 files
- Add test for catalog deletes in batches of at most 100 paths
- Add test for index memory budget reducing batches to one file
- Add test for memory target limiting cumulative batch size
- Add test for invalid batch memory settings rejection
- Add test for continuing after one batch fails
- Add test for yielding to event loop while building batch
- Add test for modified file reusing unchanged embedding
- Add test for reporting memory estimation failure without aborting
feat(update_changes): implement bounded batch processing with memory management
- Add configurable batch parameters with default values
- Implement memory budget calculation based on available system memory
- Add file inspection and memory estimation before processing
- Implement batch flushing when limits are reached
- Add proper error handling for batch operations
- Support async yielding during batch building
- Add comprehensive validation for batch configuration parameters
- Implement memory estimation for indexing operations
- Add batch size limiting for delete operations
* test(steps): add tests for memory estimation failure handling
- Add test case for isolated file processing when memory estimation fails
- Add test case for proper release of flushed items before building next file
- Implement weak reference tracking to verify payload lifetime management
- Create parametrized tests for both source and item memory estimation methods
- Add assertions to verify single-item batch behavior on estimation failures
- Include comprehensive error handling verification for memory budget calculations
* chore(version): bump version to 0.4.1.3
- Update __version__ from 0.4.1.2 to 0.4.1.3 in __init__.py
* feat(index): support batch settings from environment
* refactor(index): use direct batch defaults
* refactor(index): configure memory estimates through step args
* ci: simplify Windows smoke dependencies
* feat(index): add file size limits and oversized file handling
- Implement max_file_bytes configuration option for content processing jobs
- Add default 20MB file size limit for background processing in default config
- Skip oversized files during auto_resource step with appropriate metadata
- Clear stale index entries when oversized files are modified
- Add size-based filtering logic to update_changes step with skip reporting
- Include file size validation in UpdateIndexStep with proper response handling
- Add comprehensive tests for oversized file scenarios in auto_resource and update_index
- Document file size limits in constants with appropriate thresholds
* chore(version): bump version to 0.4.1.1
- Update __version__ from 0.4.1.0 to 0.4.1.1 in __init__.py
* fix(index): isolate batch metadata and handle file races
* fix(auto-memory): preserve message timestamps
* fix(auto-memory): infer daily date from messages
* feat(file_io): add strict date parsing and improve daily date handling
- Add new parse_daily_date function for strict YYYY-MM-DD validation
- Replace extract_daily_date with parse_daily_date for explicit date validation
- Change _messages_day to use max date instead of min for historical imports
- Reorder imports to maintain consistent module ordering
- Move session message saving after date validation in auto_memory
- Add comprehensive tests for invalid date rejection before saving
- Add tests for strict YYYY-MM-DD date format validation
- Update test names to reflect latest date behavior
---------
Co-authored-by: Ziyang Guo <121015044+RunMarshal@users.noreply.github.com>
Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
* feat(file_io): add daily_write step for creating daily notes with conversation metadata
- Add DailyWriteStep class that delegates to write job for creating daily notes
- Register daily_write job in default configuration with proper parameters
- Include validation for name and session_id path components
- Add test coverage for daily_write functionality including metadata handling
- Preserve existing job execution method in application.py after repositioning
- Update base_step.py to use positional-only parameter syntax for job methods
- Import and expose DailyWriteStep in file_io module initialization
- Override reserved metadata keys (name, description, session_id, source_conversation) with fixed values
- Refresh daily index after successful write operation
- Generate proper source conversation links in markdown format
* feat(daily): refactor daily note system with enhanced metadata handling
- Introduce validate_filename_component function and export it
- Add _INDEX_HIDDEN_METADATA_KEYS to hide conversation metadata from index
- Update scan_notes to exclude hidden metadata keys from index rendering
- Modify auto_memory to use daily_write tool and manage session frontmatter
- Implement session note lookup and renaming based on frontmatter name
- Update daily_list to return flattened note metadata including session info
- Change daily_write to dispatch write step instead of running job
- Add test cases for updated daily note functionality and metadata handling
- Update version from 0.4.0.2 to 0.4.0.3
* fix(evolve): correct metadata update in auto memory response
- Fixed trailing comma issue in metadata dictionary update
- Ensured proper formatting of response metadata structure
- Maintained existing functionality while fixing syntax error
* refactor(auto_resource): replace daily_create with dynamic note management
- Remove DailyCreateStep and related exports from file_io module
- Replace static daily note creation with dynamic resource-linked card system
- Implement LLM-suggested naming with frontmatter-driven file management
- Add source_resource linking for tracking original files
- Introduce collision handling with hash-based suffixes
- Update documentation to reflect new resource card workflow
- Modify auto_resource prompts to use write/edit tools instead of daily_create
- Adjust test fixture comments to match new agent behavior
- Update framework diagrams and quick start examples accordingly
* feat(app): add version info to app initialization and update auto-memory logic
- Include version number in application startup logging
- Remove tool result truncation logic from auto-memory step
- Update auto-memory to exclude tool_result blocks from saved history
- Add test case to verify tool results are filtered out from message saving
- Update YAML prompts to clarify filename naming rules without dates
- Modify configuration to support new dispatch steps format with persistence control
* feat(auto_memory): add note modification tracking and optimize frontmatter updates
- Add _note_bytes and _note_modified methods to track actual file changes
- Optimize frontmatter updates by checking existing metadata before update
- Add modified flag to response metadata indicating actual note changes
- Update logging to include modified status in various operations
- Add comprehensive tests for modified/unmodified detection scenarios
- Enhance result hook logic to skip when no actual changes occur
- Refactor metadata handling to properly track creation vs modification status
* feat(evolve): enhance agent reply processing and logging capabilities
- Add agent_reply_result_text function to extract final user-visible text from agent replies
- Implement comprehensive logging throughout auto_memory, auto_resource, and dream modules
- Add max_units configuration option to limit extracted memory units
- Improve error handling and validation in auto_resource step
- Refactor dream extract step to respect max_units limit during processing
- Enhance summary rendering in dream finish step with detailed breakdown
- Add result hook functionality for embedding hosts integration
- Implement loose resource filename handling for root-level resources
- Update test cases to reflect new functionality and improved error messages
* test(background-steps): update fake upsert function to include created parameter
- Modified fake_upsert function to accept 'created' parameter instead of '_created'
- Added 'created' field to captured dictionary in fake_upsert function
- Included 'created': True in the expected response dictionary for test case
- Updated test assertion to match new parameter structure
* docs: rename vault_dir to workspace_dir in documentation and examples
* refactor(extract): format long method call across multiple lines
* refactor(extract): format system prompt parameters for better readability