DAA Agent Create agents with Dynamic Agentic Architecture that adapt and learn over time. When to use When you need agents that go beyond static configurations — agents that adapt their behavior based on performance metrics, learn from interactions, and share knowledge with other agents. Steps 1. Create agent — call with initial configuration and learning parameters 2. Monitor learning — call to see adaptation progress 3. Check performance — call for efficiency and accuracy metrics 4. Adapt — call to trigger manual adaptation based on feedback 5. Share knowledge — call to propagate learnings…