agentic‑bq — Guardrails for Agents Querying BigQuery

Why I Built This Large‑language‑model agents love data. Give them access to your enterprise warehouse and they’ll start generating SQL faster than any analyst. That’s exciting — until an agent decides to run a DELETE FROM across an entire dataset or a multi‑terabyte query that costs hundreds of dollars. To keep LLMs productive but safe, you need a BigQuery client with built‑in constraints, cost checks, and auditability. Meet agentic‑bq. What It Is agentic‑bq is an agent‑safe BigQuery client that injects common‑sense guardrails for AI‑driven data access. pip install agentic-bq Features The agentic‑bq library delivers a complete safety layer for AI agents that interact with BigQuery. It enforces parameterized queries to eliminate risky string concatenation and SQL injection, ensuring that every query uses bound parameters for predictability and security. A powerful denylist engine automatically blocks destructive SQL verbs like DROP, DELETE, ALTER, or TRUNCATE, shielding enterprise datas