⚡ Bolt: Cache framework registry loading

[alinelena]

💡 What:
Memoized the reading and parsing of the frameworks.yml file in ml_peg/app/utils/utils.py. The private method _load_framework_registry now utilizes functools.lru_cache(maxsize=1). The public load_framework_registry method returns copy.deepcopy() of the cache to guarantee the global state cannot be mistakenly mutated.

🎯 Why:
The application calls get_framework_config (which in turn calls load_framework_registry) heavily during initial layout building and navigation. Parsing YAML is computationally expensive and disk I/O introduces latency. Repeatedly re-parsing a static frameworks.yml configuration represents a clear bottleneck.

📊 Impact:
Substantially decreases page load latency and application startup time by avoiding repetitive disk reads and Python YAML decoding for the framework configuration mapping.

🔬 Measurement:
We can benchmark the startup routine build_full_app and navigate between pages/frameworks in the UI. A timing trace or line profiler on get_framework_config() will show a dramatic reduction in wall time after the initial cache population.

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PR created automatically by Jules for task 6177802362191715950 started by @alinelena

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