Genie Lobster Bricks

Genie Lobster Bricks is an MIT-licensed deep prompt inspection (DPI) proxy that sits between AI clients and any OpenAI-compatible backend—including Databricks Genie and Databricks model serving. Every user prompt and every model response passes through a programmable firewall: YAML policies enforce intent rules, risk scoring, credential and PII detection, prompt-injection blocks, and data-exfiltration guardrails without changing application code. Inspection uses deterministic regex-based DPI, not an LLM judging an LLM. The project ships adversarial test suites, JSONL audit logs, and optional SIEM export (e.g. Microsoft Sentinel). The demo use case is a fictional Bayou Energy Holdings × Vanguard Well Services Permian completions engagement: contractors use Chatbox pointed at the proxy, not raw Databricks; only three target wells are in scope; reserves, MNPI, and out-of-basin queries are denied with full audit trails. Hosted deployment runs on AWS (API Gateway, ECS Fargate, Secrets Manager) in front of Databricks Genie, with contractor API keys and signed policy bundles. Genie Lobster Bricks is a reusable trust layer for agent guardrails, observability, and compliance-ready AI access control.