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Challenge

Build a Cross-Border Drilling Schedule Coordinator with Claude Agents SDK

Coordinating joint Egypt-UAE expanded offshore oil and gas drilling programs requires multi-rig logistics scheduling. Build an intelligent planning agent using Claude Agents SDK to optimize offshore rig allocation, weather windows, and supply boat routes.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Utilize Claude Agents SDK with tool calling to construct an optimal offshore rig mobilization schedule across Red Sea and Mediterranean waters.

Delivery guide

How work is evaluated

Evaluation

Evaluates rig scheduling optimization and transit safety rule enforcement.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

weather_safety_check

Ensure departure is scheduled when wave height <= 2.0m

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

schedule_efficiency

Efficiency of non-productive time reduction • target: 0.96 • range: 0.88-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Build Claude Agents SDK workflows to evaluate offshore drilling rig availability

  • Integrate wave height and weather forecasting tools into mobilization planning

  • Optimize supply boat fueling and transit schedules between UAE and Egyptian ports

  • Output prioritized Gantt chart schedules minimizing non-productive time (NPT)

Resources and assets

Reference links and supporting material

Dataset notes

Offshore weather history, jack-up rig specs, and concession block locations in the Gulf of Suez and Red Sea.

Challenge setup

Evaluates rig scheduling optimization and transit safety rule enforcement.

Challenge input

JSON rig location and weather forecast

Claude Agents SDK

Anthropic framework providing extended thinking for complex multi-constraint scheduling

Evaluated output

JSON schedule recommendation

Evaluation checks
  • Ensure departure is scheduled when wave height <= 2.0m
  • Efficiency of non-productive time reduction • target: 0.96 • range: 0.88-1
Configured evaluation evidence
  • Benchmark: OffshoreLogisticsBench
  • Schedule Efficiency target: 0.96
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • Bito AI · Required
  • Deepgram · Optional
Observation
  • Braintrust · Optional
Reward / Eval
  • Braintrust · Optional

Evaluation contract

  • weather_safety_check · Weight 1
  • schedule_efficiency · Weight 1

Metrics

  • schedule_efficiency · Target 0.96

Benchmarks

  • OffshoreLogisticsBench
  • energy

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON rig location and weather forecast

    Output: JSON schedule recommendation

    Execution harness: Python

Evaluation tools

  • Claude Agents SDK · Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

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