[EP] Evolve the LLM Agentic Orchestrator #34
Description
Advance the Agentic Orchestrator's capabilities by supporting dynamic metaprompting and enabling collaboration with research partners like HP Labs for intelligent agent generation.
User Story 1:
As a developer, I want to experiment with metaprompting strategies so that agents can dynamically adapt to tasks and environments.
- The system supports templated and layered prompts.
- Runtime context influences agent behavior.
User Story 2:
As a developer, I want to improve agent creation workflows so that orchestrated agents are more intelligent and task-specific.
- Agent creation uses a combination of metaprompting and task decomposition.
- The Orchestrator supports iterative training or fine-tuning of agents.