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CONCEPT Cited by 1 source

Model-agnostic orchestration

The design principle of treating LLMs as interchangeable components within an orchestration pipeline rather than building tightly around a single model. The harness — not the model — is the durable artifact.

Definition

A model-agnostic orchestration layer: 1. Decouples pipeline logic from any specific model's API surface or behavioral quirks. 2. Allows models to be frequently interchanged and cross-tested — using one model for initial discovery and an entirely different one for validation. 3. Absorbs downstream provider volatility (temperature changes, caching policy, inference-effort budgets) without pipeline breakage.

The key insight: "developers who've built tightly around a single model have already experienced what happens when that model is no longer available or gets superseded by a more capable one" (Source: sources/2026-06-18-cloudflare-build-your-own-vulnerability-harness).

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