The LQ.AI Atlas LQ.AI's documentation, bound to the code it describes
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The Inference Gateway: the security boundary

The component that holds the keys and guards the egress: its pipeline, the threat model around it, what anonymization does to outbound prompts, how model routing stays inspectable, and where the inference-tier boundary sits.

When the middleware fires

All four conditions must hold; the first that fails short-circuits to a no-op for the entire pass (provider receives unmodified content; response is not touched; audit row records anonymization_applied = false).

Condition Source Default
gateway.yaml anonymization.enabled = true Operator config false — feature flag stays off until the deployment opts in.
Request's routed tier is in anonymization.apply_at_tiers Operator config [3, 4, 5] — local Tier 1 / Tier 2 inference skips because the data never leaves the operator's environment.
Request's lq_ai_privileged is false Backend forwards Project.privileged False for chats outside any project, or in non-privileged projects.
Request's anonymize is true Per-call body field True. Callers send anonymize: false only when they need the raw text on the provider call (evaluation, raw-passthrough scenarios).