Weekend Challenge: Model Substitution Governance & Audit Platform for Dynamic LLM Gateways

This submission tackles the challenge of providing governance and auditing for model substitutions in dynamic LLM gateways. The platform was built for an AI engineer managing multi-agent systems and dynamic routing in production. The key pain point addressed is the lack of visibility into silent model replacements that occur when high-capacity models are downgraded to smaller or cheaper alternatives. This can lead to issues like context window truncation, hallucinations, and compliance violations.

The solution consists of three main components. First, a zero-latency Python Interceptor SDK called governance-interceptor. This SDK acts as in-memory middleware that hooks into gateway routing decisions, comparing requested models to actual models without adding latency. Second, a high-throughput FastAPI cloud tracker that handles ingestion of events and computes capability downgrade percentages.

Third, a capability risk assessor engine that assigns risk ratings to situations involving model downgrades. Additionally, the system verifies agent provider whitelists and generates compliance audit reports.

The platform includes a live web dashboard that can be accessed at model-substitution-governance-event.vercel.app. This dashboard features a try demo modal that allows users to simulate gateway substitutions and view real-time risk scoring, context delta computations, and whitelist policy alerts. The entire backend, frontend, and interceptor SDK code is open source on GitHub at Rithika-Gurusamy/Model-Substitutions-Governance-Platform.