agent-context-binding

To pass simulation context to an AI agent API call, you must assemble an AgentContext object that structures session state, learner performance, and conversation history into the payload, ensuring the agent receives essential context.

AI agents return generic chatbot responses when they lack essential context. This happens without a context-binding contract to structure session data and construct a comprehensive system prompt before the API call.

The best way to structure conversation history for an AI agent is to use a mandatory context-binding contract, which formats previous attempts and simulation state into a structured AgentContext schema.

You generate a system prompt with learner context by using assembly functions to gather simulation state and performance data, creating a comprehensive prompt that prevents policy violations and guides the AI agent.

Yes, you need a context-binding contract before making AI agent API calls to ensure simulation and session context are properly collected and structured, preventing generic responses and ensuring compliance with learning objectives.