{RF}BUILD_ARCHIVE / 005
OSS / EXPERIMENTAL V0.3 · AI & models

// One route through the model mess

Adaptive LLM Gateway

An OpenAI- and Anthropic-compatible gateway for local models, subscription CLIs and APIs — with routing, audit, PII redaction and injection defenses built in.

LLM routingSecurityOpen source
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WHY THIS
EXISTS.

Developers now pay for several AI subscriptions, run local models and still need separate integrations for every agent. Traditional gateways assume pay-per-token API keys and rarely make security or audit part of the default path.

THE USEFUL
LOOP.

The gateway discovers local and subscription-backed providers, exposes compatible endpoints and passes every request through routing, privacy and audit layers before it reaches a model.

WHAT'S
INSIDE.

01

ONE COMPATIBLE EDGE

OpenAI and Anthropic clients can reach local models, APIs and supported subscription bridges through one endpoint.

02

SECURITY IN THE PIPE

Prompt-injection checks, PII redaction and output-stream defense run as first-class gateway stages.

03

ROUTING WITH RECEIPTS

Cost-aware routing, quota tracking, replay and audit records make model choice explainable and debuggable.

READ THE
RECEIPTS.

PUBLIC REPOSITORYgithub.com/renefichtmueller/adaptive-llm-gateway