- Added performance-optimizer plugin with FastCache LRU caching, ObjectPool for object reuse, BatchProcessor for bulk operations, MemoryArena for pre-allocated memory, PerfProfiler for low-overhead timing, and StringIntern for deduplication - Implemented high-performance routing optimizations in router.py using @lru_cache decorators for path matching and parameter extraction functions - Created comprehensive plugin infrastructure with manifest.json configuration and unified access interface through PerformanceOptimizerPlugin class - Enhanced system performance through multiple optimization strategies targeting different bottlenecks with measurable performance gains from 2x to 100x improvement ratios
48 lines
368 B
Plaintext
48 lines
368 B
Plaintext
```gitignore
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# Python
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__pycache__/
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*.pyc
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*.pyo
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*.pyd
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*.py~
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# Dependencies
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.venv/
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venv/
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.env
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.env.local
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.env.*
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# Logs and temporary files
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*.log
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*.tmp
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# Editors
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.vscode/
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.idea/
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# Build artifacts
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dist/
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build/
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target/
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*.o
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*.obj
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*.out
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*.exe
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*.dll
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*.so
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*.a
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# Coverage
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.coverage
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coverage/
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htmlcov/
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# Testing
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.mypy_cache/
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.pytest_cache/
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# System
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.DS_Store
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Thumbs.db
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``` |