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| spec_version: 1 | |
| name: berth_planning | |
| type: space | |
| runtime: fastapi | |
| app: berth_openenv.server:app | |
| port: 8000 | |
| description: Dock planning at the Port of Barcelona on real 2024 container calls - re-plan one to three weeks at a quay with real crane fleets, movement limits, gales under the port's wind rules, crane outages, closures, late and bunched ships, diverted traffic, emergencies and priority cargo; graded once on submit against the CP-SAT optimum. 1,050 train and 50 eval tasks (dock-v1), plus the first 100-task pack (berth-v1). | |
| version: "0.1.0" | |
| variables: | |
| BERTH_TASKS_DIR: "" # colon-separated pack directories; defaults to tasks/dock-v1-eval:tasks/dock-v1-train | |
| BERTH_RUNS_DIR: "" # rollout runs shown in the viewer | |
| BERTH_MAX_CHECKS: "10" | |
| BERTH_MAX_TOOL_CALLS: "24" | |
| MAX_CONCURRENT_ENVS: "64" | |
| validation: | |
| reward: | |
| range: [0.0, 1.0] | |
| # oracle/solve.py submits the CP-SAT optimum and scores exactly 1.0; no plan scores 0, any rule broken <= 0.2 | |
| oracle_tolerance: 0.001 | |
| floor_margin: 0.5 | |
| resources: | |
| # pure Python: the grader re-checks a plan in milliseconds, CP-SAT never runs on the server | |
| cpu: 2.0 | |
| memory_mb: 4096 | |
| disk_mb: 2048 | |
| episode_timeout_s: 3600.0 | |
| network: | |
| mode: no-network | |
| capabilities: | |
| verifier: | |
| kind: reward_channel | |
| oracle: | |
| form: script | |
| location: oracle/solve.py | |
| rubric_tree: true | |
| task_api: true | |
| declared_tools: [get_situation, check_plan, submit_plan] | |
| declared_task_count: | |
| eval: 50 | |
| train: 1050 | |
| types: | |
| tags: [simulation, logistics, scheduling, operations-research, mcp, real-world-data] | |