[FEATURE]: Implement Zero-Copy Context Cache Manager Utilizing Lock-Free Circular Pointer Arrays

Problem

Serializing massive multi-step runtime parameters tokens directly onto traditional transactional databases generates heavy storage sub-system I/O barriers, dropping overall network routing throughput during intense multi-tenant volume stress [1.5, 1.6].

Proposed Solution

Develop an atomic, memory-mapped cache allocator under internal/storage/ring_buffer.go:

1. Lock-Free Atomic Pointer Arrays: Utilize circular array blocks controlled via native Go pointer atomic switches (sync/atomic) to store dynamic state checkpoints without causing execution thread blocks or mutex wait locks [1.5].
2. Asynchronous Cache Evacuation: Sequentially map raw chunk sequences into background threads running outside the critical request-response runtime pipeline path [1.5].

Use Case

Secures infinite infrastructure enterprise value, providing corporate procurement officers empirical evidence of seamless resource scaling without explosive cloud server computing budgets [1.5].

Start by reading internal/storage/ring_buffer.go and tracing how storage state enters the runtime request path. Clarify the atomic circular-array and asynchronous evacuation design before implementation; done means the cache manager meets the stated non-blocking and memory-mapped requirements under multi-step runtime load.