Worklog for task "Implement a custom AI dialog engine with dynamic scenarios"

Minimum Agent Event Model and LLM

A basic agent reaction layer has been implemented, suitable as a building block for the future runtime:

• Agent class and POST /api/agent endpoint;
• basic chain message.received → Agent.react → message.publish;
• connection between the action and the source event via stimulusId and its own actionId;
• JSON/NDJSON and a general cancellation mechanism;
• Agent.react now calls the real runChat/LLM instead of a mock;
• successfully re-passed 2/2 agent tests for fragments/action identity, cancellation, and provider error.

The current implementation handles a single incoming event type and the chat channel; the model receives only the current message. There is currently no conversation memory, accumulation of multiple events, deduplication, general decision-making system, or scenario transition machine.