Been building with LangChain agents and kept running into the hallucination problem — agents acting on wrong information with no circuit breaker. Built a verification layer that sits in the pipeline and catches it before the agent acts. Wrote up a full tutorial with working code: DEV Community How to Add Claim Verification to Your LangChain Agent in 5 Minutes Your LangChain agent is wrong about 10% of the time. Not occasionally — consistently, confidently,... Short version: pip install langchain-agentoracle then add AgentOracleEvaluateTool to your agent. Returns per-claim verdicts (ACT/VERIFY/REJECT) with confidence scores and evidence. Free to test with no setup: agentoracle.co Happy to answer questions about how it works. 1 post - 1 participant Read full topic