The API Pydantic schema had a MaxLen(1000) constraint on observation
content while the database uses SQLAlchemy's Text type (unlimited).
This mismatch caused validation errors when observations exceeded
1000 characters (e.g., JSON schemas with 1458+ chars).
Removed the MaxLen constraint to match the DB schema. Retained:
- BeforeValidator(str.strip) for whitespace cleaning
- MinLen(1) to ensure non-empty content
Added comprehensive tests to verify:
- Long content (10K+ chars) is accepted
- Very long content (50K+ chars) is accepted
- Empty/whitespace-only content is still rejected
- Whitespace stripping still works
Fixes#385🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
The /proxy/projects/projects POST endpoint returns a ProjectStatusResponse
with fields: message, status, default, old_project, new_project.
Updated CloudProjectCreateResponse schema to match this format instead of
expecting name, path, message fields.
Also updated all related tests to use the correct response format:
- tests/cli/test_cloud_utils.py (3 tests)
- tests/cli/test_bisync_commands.py (1 test)
Fixes the validation error when creating cloud projects via upload command:
"bm cloud upload --project test --create-project specs"
Signed-off-by: Pablo Hernandez <pablo@basicmachines.co>
Signed-off-by: phernandez <paul@basicmachines.co>
- Add comprehensive test for None permalink validation in EntityResponse
- Ensures schema properly handles markdown files without explicit permalinks
- Addresses GitHub issue #170 validation errors during edit operations
- Test validates that permalink=None doesn't cause ValidationError
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Signed-off-by: phernandez <paul@basicmachines.co>
Fix project switching bug where case-insensitive matching worked but
caused database lookup failures for subsequent operations.
**Problem:**
- switch_project('personal') succeeded (case-insensitive matching)
- get_current_project() failed with 'Project personal not found'
- Session stored user input case instead of canonical database name
**Solution:**
- Find project by permalink (case-insensitive) in switch_project
- Store canonical project name from database in session
- Use canonical name for all API calls and responses
**Test Coverage:**
- Added comprehensive case-insensitive project switching tests
- Added tests for case preservation in project listings
- Added tests for session state consistency after case switching
- Added error handling tests for non-existent projects
**Files Changed:**
- src/basic_memory/mcp/tools/project_management.py: Fixed switch_project logic
- test-int/mcp/test_project_management_integration.py: Added test coverage
**Test Cases Now Passing:**
- ✅ switch_project('personal') → finds 'Personal' project
- ✅ get_current_project() → works with canonical name
- ✅ Project summary shows stats correctly
- ✅ Case-insensitive matching for all case variations
- ✅ Error handling for non-existent projects
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
feat: Add multiple projects support
feat: enhanced read_note for when initial result is not found
fix: merge frontmatter when updating note
fix: handle directory removed on sync watch
## Summary
- Add comprehensive documentation to all MCP prompt modules
- Enhance search prompt with detailed contextual output formatting
- Implement consistent logging and docstring patterns across prompt
utilities
- Fix type checking in prompt modules
## Prompts Added/Enhanced
- `search.py`: New formatted output with relevance scores, excerpts, and
next steps
- `recent_activity.py`: Enhanced with better metadata handling and
documentation
- `continue_conversation.py`: Improved context management
## Resources Added/Enhanced
- `ai_assistant_guide`: Resource with description to give to LLM to
understand how to use the tools
## Technical improvements
- Added detailed docstrings to all prompt modules explaining their
purpose and usage
- Enhanced the search prompt with rich contextual output that helps LLMs
understand results
- Created a consistent pattern for formatting output across prompts
- Improved error handling in metadata extraction
- Standardized import organization and naming conventions
- Fixed various type checking issues across the codebase
This PR is part of our ongoing effort to improve the MCP's interaction
quality with LLMs, making the system more helpful and intuitive for AI
assistants to navigate knowledge bases.
🤖 Generated with [Claude Code](https://claude.ai/code)
---------
Co-authored-by: phernandez <phernandez@basicmachines.co>
- incremental sync on watch
- sync non-markdown files in knowledge base
- experimental `read_resource` tool for reading non-markdown files in raw form (pdf, image)
Paul Hernandez