[Consensus Engine] Implement Aggregator for Consolidating Predictions and Monitoring Agent Effectiveness

[dineshpinto]

• Description:
  Create the "Aggregator" component for the Consensus Engine. This component will be responsible for consolidating predictions or outputs from multiple agents using customizable algorithms (e.g., voting, averaging). It should also retrospectively monitor the effectiveness and contribution of individual agents, potentially using metrics such as Shapley values or other contribution-assessment techniques.
• Acceptance Criteria:
  • The Aggregator can receive and process predictions/outputs from multiple agents participating in a consensus task.
  • It implements at least one aggregation algorithm (e.g., simple majority vote, weighted average based on confidence scores).
  • A framework or methodology for monitoring individual agent performance over time is included (e.g., tracking accuracy, contribution to consensus).
  • Consideration is given for calculating advanced metrics like Shapley values to assess the marginal contribution of each agent (this could be a more advanced sub-feature).
• Key Files/Modules Involved:
  • flare_ai_kit/consensus/aggregator/base.py and flare_ai_kit/consensus/aggregator/prediction.py
• Tasks / Implementation Steps:
  • Add aggregation methods to flare_ai_kit/consensus/aggregator/strategic.py
  • Update flare_ai_kit/consensus/aggregator/base.py as needed to support the new interface

[tasneemtoolba]

I applied to the ethereum protocol fellowship, but it was hard to get, I would love to gain more industrial and actual experience in the consensus layer

[tasneemtoolba]

Hello @dineshpinto , I'm so sorry for my late update, tbh I just realised I got assigned to the issue, but I'll work on adding a few methods to the aggregator today, and create a draft PR! and update you every 1-2 days

thanks!)