Raycaster/ Eval

APEX-Agents · Management Consulting

World131_IB_05

Best published5/6Fail

APEX-Agents task World131_IB_05 in AI Agents for Infrastructure Finance. Compare dual-harness agent runs across models, scores, and public traces.

AI Agents for Infrastructure FinanceManagement Consulting World 131Dual harnessGrader: rubric
task_699ea5ca3b0243a5852ad33e33043f12
Management Consulting World 131
make_new_slide_deck
5 models · dual config

Task prompt

What the agent was asked to do

Find out the ratio between Curtailment_GWh and Redispatch_GWh and for the lowest average ratio of Country-Region pair, report the average Avoided Curtailment (MWh) and causes of curtailment. Represent the average Avoided Curtailment to two decimal places Present these findings on a new slide you create.

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

ModelHarnessScoreResultLinks
Gemini 3.1 Produal5/6Fail
GPT-5.4dual5/6Fail
GPT-5.4 minidual5/6Fail
GPT-5.4 nanodual5/6Fail
GPT-5.5dual5/6Fail

Grading rubric

Rubric criteria

Runs are graded against these criteria. Open a run for model-specific verdicts.

  1. States the Country-Region combination with the lowest ratio is Germany-North

  2. States the Average Avoided Curtailment for Germany-North combination is 243,275.56 MWh

  3. States one of the causes of curtailment for Germany is Thermal Overload

  4. States one of the causes of curtailment for Germany is Voltage Violations

  5. States one of the causes of curtailment for Germany is Congestion

  6. States one of the reasons of Curtailment for Germany is Redispatch Conflicts