Runtime Context

The maximum amount of information a model can process and retain within a single interaction or inference.

The process of supplying relevant context to a model or agent at runtime to improve task execution and response quality.

The process of keeping contextual information consistent and up to date across models, agents, sessions, or distributed systems.

State and metadata maintained across interactions during an active communication session.

Context information maintained across multiple agents or components during interaction.

Context that is retained across sessions or interactions so an AI system can reuse relevant information over time.