# Glossary - GateLLM

> Definitions of GateLLM coined terms and their industry-standard equivalents: capability normalization, Composition, multi-model consensus, Token Ops, Token FinOps, BYOK.

Canonical: https://www.gatellm.io/glossary/

## Glossary
GateLLM's differentiation rests on a few coined terms — here are precise definitions and their industry-standard equivalents, for comprehension, citation, and migration.
### Capability normalization
unifies 7 coupling points
Unifies the seven cross-vendor coupling points (tool calling, structured output, prompt cache, reasoning tokens, multimodal, billing, error semantics) behind one interface. This is the prerequisite for mixing models across vendors — otherwise each model has its own calling convention and every switch requires glue code.
### Composition
tiered model routing
Routing different request phases to different models at the gateway — identity-scoped model mapping plus plan-mode switching. The canonical pattern: a top-tier closed model (e.g. Claude Opus) plans while open SOTA models (GLM / Qwen / DeepSeek) execute — ~14% cost for ~97% capability. Configured in the console (rules + scripts), zero client-code change.
### Multi-Model Consensus
Ensemble
An orchestration-layer pattern — running the same prompt through several models in parallel and merging the results. The fan-out, dedupe, and confidence annotation live in your orchestration layer (e.g. GitHub Actions); the gateway supplies protocol interop and unified metering, so any model joins and all traffic stays centrally governed. Suited for high-stakes calls such as code review. The shipped flavor of this pattern is multi-model code review (see the orchestration section).
### Token Ops
LLM observability + access governance
The usage-side operating layer for LLM APIs — observability, client admission, audit trails, and programmatic management. It answers "who is using what, how much, and can they get in"; Token FinOps (its counterpart) answers "how tokens become money, who it is charged to, and what stops it". GateLLM integrates these into the gateway — never a per-token markup.
### Token FinOps
FinOps for AI / token cost allocation
The financial control layer that applies FinOps visibility, allocation, and governance to token spend: a self-owned rate card turns tokens into money, tags land spend on the right cost center, and daily / monthly cost quotas turn budgets into request-blocking gates. Complements Token Ops — the former sees usage, this one sees money.
### BYOK
Bring Your Own Key
You bring your own model-vendor API keys. Keys live in gateway memory only — never persisted or transmitted; requests route through the gateway straight to vendor APIs. GateLLM takes no cut.

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