[FEATURE] Implement Core Layer-4 Go Control Plane Subsystems

Problem

Envoy Proxy's go-control-plane implements general-purpose xDS configurations discovery caching [1.5]. However, traditional general proxies handle network data blindly without any operational awareness of distributed AI multi-step agent runtime memory frameworks [1.5]. When an application endpoint chokes or encounters an asynchronous server timeout, the proxy reactively emits a flat 503 error, destroying volatile memory context arrays and forcing massive re-computation resource leakage [1.5, 1.6].

Proposed Solution

We need to add a specialized, low-overhead Go control plane layer inside the internal/control/ directory profile to manage stateful fault masking and connection target switching natively. This feature introduces:

1. cache_manager.go: A high-throughput checkpoint mapping store engineered using sync.RWMutex to lock atomic bitwise data frames securely.
2. failover_orchestrator.go: A microsecond-level intercept controller reading tcp disconnect states and executing hot-swaps under <2ms [1.5, 1.6].
3. tenant_governor.go: A zero-trust multi-tenant container governor tracking compute resource limits.

Alternatives

Integrating heavy third-party distributed key-value storage grids directly into the transport mesh, which was rejected due to heavy userspace serialization thread scheduling latency overhead.

Use Case

This feature isolates failure blast radius transparently right at the transport socket line, protecting multi-tenant multi-agent operations from compute data-plane drops and saving massive token capital costs natively [1.5, 1.6].

Additional Notes

Please follow our standard Go linting rules and verify logic arrays via localized micro-benchmarks before pushing pull requests.

Start by inspecting the existing internal/control/ directory and the project’s standard Go linting setup. Review the proposed cache_manager.go, failover_orchestrator.go, and tenant_governor.go responsibilities, then identify the required state, failure, and tenant-limit behavior. Done should include the three subsystems, passing lint checks, and localized micro-benchmarks validating the requested behavior and latency.