Agents sometimes fail to execute multi-step workflows effectively, leading to incomplete or disjointed actions that do not satisfy the task requirements.

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What Went Wrong?

  • The agent did not execute steps in the correct order.
  • Actions were taken prematurely or without necessary context.
  • The agent failed to advance toward the final goal effectively.

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How It Showed Up in Metrics:

  • Low Action Advancement: The agent did not progress meaningfully through the workflow.
  • High Tool Errors: Steps executed out of order caused tool failures.
  • Low Tool Selection Quality: The agent used tools inefficiently, leading to unnecessary steps.

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Improvements and Solutions

1

Use Galileo's Metrics to Identify Execution Breakdowns

  • Analyze Action Advancement to detect where the agent is failing to progress.
  • Examine Tool Selection Quality to find missteps in tool use.
  • Track Tool Errors to determine if failures occur due to improper sequencing.
2

Enforce Logical Task Sequencing

  • Use chain-of-thought prompting to guide multi-step reasoning.
  • Clearly specify dependencies between actions.
  • Adjust workflow based on insights from Action Advancement metrics.
3

Optimize Multi-Step Planning

  • Implement step validation before moving to the next action.
  • Use feedback loops to correct errors dynamically.
  • Adjust prompts based on Tool Selection Quality and Action Advancement trends in Galileo.
4

Monitor and Iterate with Galileo

  • Compare different workflow strategies using Action Advancement metrics.
  • Track improvements in Tool Selection Quality and Tool Errors over iterations.
  • Implement continuous monitoring to detect regressions in workflow execution.