A stable API is the part of the system that should change least when models, prompts, indexes, or providers change.
Specify the surface
Define request and response shapes, errors, timeouts, authentication, and versioning. The client should know what the service promises.
Hide implementation detail
Keep provider-specific settings, prompt orchestration, and retrieval mechanics behind the service boundary when clients do not need them.
Design for failure
Timeouts, malformed results, context limits, and dependency outages need explicit behaviors so clients do not have to guess.
Test replacement
A model-agnostic architecture is real when another backend can satisfy the same contract and the system still passes its quality and reliability tests.
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AI Developer / ML Engineer building end-to-end AI systems from research to production, with a focus on multimodal AI, LLM applications, retrieval, MLOps, and systems engineering. He is based in Rawalpindi, Pakistan and is the founder of GROVE SYSTEMS.