- Add CRITICAL path handling section with skill-specific conversion rules
- Include path conversion table showing SKILL.md relative paths to absolute paths
- Add 4-step execution guide for skill script path resolution
- Clarify skill directory structure (scripts/ can be at root or in scripts/ subfolder)
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via [Happy](https://happy.engineering)
Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
Add comprehensive prompt for extracting and storing user facts from
conversations, with special focus on relationship/contact tracking:
- Full name and nickname association (e.g., "Mike" → "Michael Johnson")
- Relationship context recording (family, friend, colleague, etc.)
- Multi-language name support
- Few-shot examples for various fact extraction scenarios
Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)
Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>
Add db_url property to MemoriManager that falls back to
CHECKPOINT_DB_URL setting, and pass it explicitly from
fastapi_app.py to ensure Memori can create sync connections.
This fixes the error "Either db_pool or db_url must be provided"
when recalling memories.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Move init_global_memori from deep_assistant.py to fastapi_app.py
lifespan function for proper application-level initialization.
This ensures Memori is initialized once at startup and closed at
shutdown, rather than checking and potentially initializing on every
agent creation.
Changes:
- fastapi_app.py: Add Memori init/close in lifespan
- deep_assistant.py: Simplify to only get memori_manager
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Co-Authored-By: Claude <noreply@anthropic.com>
Add comprehensive documentation for the SSE stream termination fix:
- Problem analysis and root cause
- Step-by-step solution with code examples
- Security considerations (__debug__ vulnerability)
- Code simplification recommendations
- Prevention strategies and best practices
- Testing and monitoring guidelines
Location: docs/solutions/runtime-errors/sse-mcp-tool-error-handling.md
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Co-Authored-By: Claude <noreply@anthropic.com>
- Remove __debug__ conditional that exposed tracebacks in production
- Simplify error response structure to {"error": str(e)}
- Remove redundant exception handling in init_agent()
- Remove unnecessary traceback logging
- Reduce code from ~30 lines to ~10 lines
Fixes security vulnerability where __debug__ is always True
unless Python runs with -O flag, causing full tracebacks
to be sent to clients in production.
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Co-Authored-By: Claude <noreply@anthropic.com>