Agentic AI consultant
Two attacker models, one deliberately weak LangChain support bot, 97 conversations per run. DeepSeek V4.1 Flash talked it into refunding orders that do not exist far more often than OpenAI's gpt-6-luna, with the transcripts, the costs and what the numbers do not prove.
A framework-free web research agent in Python: tool schemas, the loop, memory, stop conditions and errors, with a real trace of what one question costs.
Two lines of Python attach the Humanbound Firewall to a LangChain agent. This setup guide walks through the policy file, the Tier 3 judge model, and rolling enforcement out in log mode before you switch to block, using a customer support bot as the running example.
Hugging Face dropped Opus when its guardrails blocked incident work. hb 2.13 lets you red-team with any OpenAI-compatible model. Five OpenRouter setups compared on empty replies, cost and speed, and why you should pin the model and the host.
A one-sentence prompt change passed every normal check. A red-team gate in GitHub Actions caught it for 26 cents. The full workflow, real numbers from three runs, how to cap spend, and what to do when the build goes red.
A working LangChain agent isn't a tested one. Wrap it in FastAPI, red-team it with Humanbound, and find out what it actually does under attack.
Ayan built a customer support agent in an afternoon, then pointed Humanbound at it and watched it fabricate a settled $185 refund for an order that does not exist. A hands-on walkthrough of running Humanbound's local adversarial testing against your own agent.
In 2017 I got a CVE for an unencrypted smart bulb. Nine years later, AI agents are shipping with the same gap: nobody tried to break them before launch. Here's how to break your own agent this afternoon, before someone else does.
