Motivation
The AssetOpsBench paper notes that Plan-Execute agents can exhibit limited sensitivity to task complexity and may over-plan relatively simple objectives.
I would like to investigate whether an adaptive escalation policy could improve efficiency while maintaining answer quality.
Hypothesis
Simple tasks should often be solvable by a central planner with minimal agent/tool involvement.
More complex, ambiguous, or high-risk tasks may benefit from escalation to additional reasoning, verification, or specialist workflows.
Initial Experiment
Compare baseline Plan-Execute against a lightweight escalation wrapper that:
- Performs an initial assessment.
- Determines whether escalation is necessary.
- Executes additional verification/reasoning only when triggered.
Metrics
- Benchmark score
- Tool calls
- Agent calls
- Latency
- Token usage
- Escalation frequency
Status
Initial investigation and architecture review.
Motivation
The AssetOpsBench paper notes that Plan-Execute agents can exhibit limited sensitivity to task complexity and may over-plan relatively simple objectives.
I would like to investigate whether an adaptive escalation policy could improve efficiency while maintaining answer quality.
Hypothesis
Simple tasks should often be solvable by a central planner with minimal agent/tool involvement.
More complex, ambiguous, or high-risk tasks may benefit from escalation to additional reasoning, verification, or specialist workflows.
Initial Experiment
Compare baseline Plan-Execute against a lightweight escalation wrapper that:
Metrics
Status
Initial investigation and architecture review.