Stable API access for LLM applications

AIThis description was written by a model from public signals. The facts behind it are listed under Evidence.

Problem

Enterprises building applications on LLM APIs face sudden model deprecations and service terminations, forcing costly migrations and disrupting production systems. Providers terminate models every few months without offering migration paths or contingency plans.

Solution concept

A stable LLM API service that commits to long-term model availability, provides advance notice and migration paths for model changes, and offers redundancy across multiple underlying providers so customers are never forced to migrate due to provider decisions.

Who has it

Founders and enterprises building production applications that depend on LLM API access, who have migrated to a specific provider and cannot easily switch.

How they handle it today

Enterprises subscribe to LLM service providers' paid plans, build applications around available models, and expect stability. When providers deprecate models, they are forced to identify alternatives, migrate code and data, and rebuild applications elsewhere.

Why now

LLM API providers are rapidly iterating and deprecating models as they optimize infrastructure and model portfolios, creating a growing pain for production customers who need stability.

How it could charge

Subscription tiers based on usage (tokens or API calls), with premium tiers offering SLA guarantees, advance notice of model changes, and automatic failover across providers.