Optimizing Multi-Step Task Execution
Learn how to optimize multi-step task execution and ensure that agents follow a logical sequence of actions.
Agents sometimes fail to execute multi-step workflows effectively, leading to incomplete or disjointed actions that do not satisfy the task requirements.
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.
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.
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.