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Challenge

Phosphate Rail Track Scheduling Agent with Claude Agents SDK

Saudi Arabia's $1bn phosphate rail track doubling project demands intelligent freight scheduling to maximize throughput without bottlenecking single-line segments. Build an autonomous scheduling agent using Claude Agents SDK with extended thinking to optimize train departure timetables and track utilization. Achieve 95% throughput efficiency without causing block collisions.

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Challenge brief

What you are building

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

Build a freight train dispatch agent using Claude Agents SDK extended reasoning features.

Delivery guide

How work is evaluated

Evaluation

Evaluates rail schedule optimization and collision prevention produced by Claude Agents SDK agent.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

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

Zero Collision Guarantee

Fails if collision_detected is true or block times overlap.

Binary check

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

Dimension 2

Schedule Optimization Efficiency

Ratio of optimal transit time to total agent-scheduled transit time. • target: 0.95 • range: 0-1

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 a autonomous dispatch agent using Claude Agents SDK

  • Utilize extended thinking capabilities to calculate complex train passing schedules

  • Define custom tool schemas for SAR (Saudi Arabia Railways) track segment blocks

  • Minimize siding wait times for heavy phosphate transport trains

Resources and assets

Reference links and supporting material

Dataset notes

Saudi Arabia Railways (SAR) phosphate corridor track topology and freight movement schedules.

How this agent runs

Evaluates rail schedule optimization and collision prevention produced by Claude Agents SDK agent.

Challenge input

JSON object with train_list, single_track_blocks array, double_track_blocks array

Claude Agents SDK

Assigned framework for high-reasoning extended thinking task.

Evaluated output

JSON object with train_schedules array, collision_detected, total_transit_hours

Checks for
  • Fails if collision_detected is true or block times overlap.
  • Ratio of optimal transit time to total agent-scheduled transit time. • target: 0.95 • range: 0-1
Proof of success
  • Benchmark: LogisticsAgentBench
  • Schedule Optimization Efficiency target: 0.95
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • RAI · Required
  • Agency (Observability) · Optional
  • Synthflow · Optional

Evaluation contract

  • Zero Collision Guarantee · Weight 1
  • Schedule Optimization Efficiency · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Phosphate Rail Track Scheduling Agent with Claude Agents SDK