Gulf Logistics Corridor Exception Multi-Agent System using CrewAI
Geopolitical tensions require real-time rerouting of trade corridors across Gulf ports and pipelines. Build a multi-agent simulation using CrewAI with specialized Logistics, Customs, and Security agents to orchestrate alternative maritime shipment routes and minimize transit delays.
What you are building
Orchestrate role-playing CrewAI agents collaborating to resolve port disruptions and rerun infrastructure routing along Gulf trade corridors.
How work is evaluated
Evaluates multi-agent rerouting efficiency and alternative port selection given straight blockage events.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
Bypass Route Selection Test
Confirms agents reroute around Strait blockage via Red Sea port.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Route Optimization Score
Minimization of delay hours relative to total blockade impact. • target: 18 • range: 0-100
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
Define specialized CrewAI roles (Route Analyst, Risk Officer, Port Dispatcher)
Orchestrate hierarchical agent task execution for port cargo rerouting
Integrate live vessel and pipeline constraint tools into CrewAI tasks
Evaluate rerouting recommendation efficiency and cost reduction
Resources
Simulated Gulf maritime transit bottlenecks, port capacity metrics, and regional oil pipeline connection schemas.
Challenge setup
Evaluates multi-agent rerouting efficiency and alternative port selection given straight blockage events.
Challenge input
JSON object with blocked_strait, cargo_type, origin_port, and destination_port.
CrewAI
Role-playing multi-agent system collaboration
Evaluated output
JSON object with recommended_route, alternate_port, and estimated_delay_hours.
- Confirms agents reroute around Strait blockage via Red Sea port.
- Minimization of delay hours relative to total blockade impact. • target: 18 • range: 0-100
- Benchmark: GCC Logistics Corridor Benchmark
- Route Optimization Score target: 18
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- CrewAI · Required
- crewAI · Optional
- Zed · Optional
Evaluation contract
- Bypass Route Selection Test · Weight 1
- Route Optimization Score · Weight 1
Metrics
- Route Optimization Score · Target 18
Benchmarks
- GCC Logistics Corridor Benchmark
- general
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON object with blocked_strait, cargo_type, origin_port, and destination_port.
Output: JSON object with recommended_route, alternate_port, and estimated_delay_hours.
Execution harness: Python
Evaluation tools
- CrewAI · Agent Orchestration
Recipe freeze marker
No recipe freeze time is recorded.