Prevent LLM sessions from silently degrading — session-preservation proxy

Many developer and product teams building multi‑turn LLM applications quietly lose session integrity: context windows get corrupted, tokens are truncated or dropped, rate limits or model swaps reset state, and users or automation see silent drift that breaks workflows. This problem is most acute for customer support bots, internal agents, and developer tooling at mid‑market and enterprise companies — roughly part of a 5.0M business addressable base that would pay for reliability. A practical solution is an edge + serverless session‑preservation proxy that intercepts browser and client traffic, persistently stores conversation state, runs lightweight degradation detectors and synthetic tests, enables rollback/replay and automated patching, and ships observability and alerting SDKs for React/Node environments. The timing is favorable: a $15.0B addressable market (5.0M businesses × $3K ACV), low competition in this niche, and accelerating investment in LLMOps and edge infrastructure make adoption feasible; I’d rate the market 88/100 and revenue potential 90/100. To stand out, focus on measurable reliability SLAs and low added latency (target <50ms), offer both hosted and on‑prem deployments for compliance, and provide plug‑and‑play integrations with major LLM providers and observability stacks. Strengths include a clear pain point, attractive pricing dynamics, and a technically straightforward proxy architecture, while the main challenges are convincing teams to route traffic through a proxy, handling encrypted or proprietary clients and CORS constraints, and building sufficient security and trust assurances to win enterprise customers.