Agent Enhancement and Learning

[Coding-Connoisseur]

User Story: Agent Enhancement and Learning

Tasks:

• Implement success rate tracking for agents (Due: 2024-11-01)
• Enable agents to adjust behavior based on success rates (Due: 2024-11-07)

[Coding-Connoisseur]

Description:

This focuses on making the agents smarter by tracking their success rates and allowing them to modify behavior based on this feedback. The goal is to continuously improve agent decision-making and efficiency by learning from prior outcomes.

Features to Integrate:

• Track agent success/failure rates for each task.
• Adaptive learning mechanisms for agents, where they modify their strategy based on historical success/failure data.
• Dashboards to display agent performance metrics.

Tasks to Accomplish:

• Task 1: Implement success rate tracking for agents (Due: 2024-11-01)

  • Implement tracking of task completion, success/failure metrics.
  • Store these metrics in a performance database.

• Task 2: Enable agents to adjust behavior based on success rates (Due: 2024-11-07)

  • Create an adaptive algorithm that allows agents to make decisions based on past success rates.
  • Implement feedback loops to allow agents to adjust strategies dynamically.

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