Model Agnosticism

Model agnosticism is claimed widely and delivered rarely, because the test is not whether several providers are supported but what breaks when you switch. If prompts were authored in a provider's tooling, they migrate by rewriting. If the index holds provider-specific embeddings, changing provider means rebuilding it. Genuine agnosticism requires that the organization's own logic and index live outside any provider, so a change is a configuration decision rather than a project. The value is commercial as much as technical: a provider whose pricing you can walk away from negotiates differently.

Centralpoint selects the model at runtime across OpenAI, Anthropic, Google Gemini and Microsoft Copilot, alongside embedded Llama, Qwen and ONNX for environments that cannot route data externally. Skills and prompts stay in the organization's SQL environment and the Vector Index is local, so switching requires neither re-indexing nor restructuring the pipeline.