Research & Propose Budget-Aware Execution Strategies #100
Description
Goal:
Investigate design patterns and existing tooling that could support budget-aware reasoning in multi-agent systems.
Tasks:
- Research how other LLM frameworks manage token, cost, or time constraints
- Investigate whether LangChain or other frameworks offer built-in budget control
- Propose loop control strategies (e.g., step limits, budget ceilings, adaptive termination)
- Explore cost estimation methods (token counting, API cost estimation, time tracking)
Outcome:
- A design proposal document outlining:
- Recommended control mechanisms
- Cost estimation strategies
- Required architectural changes
- Open questions and risks