Context poisoning

Context poisoning is when incorrect, hallucinated or malicious information enters a model's context and is then repeatedly relied on in later steps, compounding errors over a long session.

Context poisoning sits in the Prompting & context part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.