How to Make Your LangChain Agent EU AI Act Compliant in 5 Minutes

The EU AI Act requires human oversight (Article 14), audit logging (Article 12), and risk management (Article 9) for production AI agents. Most LangChain deployments have none of these. If your agent is touching customer data, sending emails, executing financial transactions, or interacting with any external system, you are likely already non-compliant. Fines can reach €30 million or 6% of global annual turnover. The good news: you can add all three compliance pillars in under 5 minutes with a single middleware integration. Here's exactly how. The 3-Line Problem Most LangChain agents in production look something like this: from langchain.agents import AgentExecutor , create_openai_functions_agent from langchain_openai import ChatOpenAI llm = ChatOpenAI ( model = " gpt-4o " ) agent = create_openai_functions_agent ( llm , tools , prompt ) executor = AgentExecutor ( agent = agent , tools = tools ) result = executor . invoke ({ " input " : " Send a follow-up email to all leads from last qu