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smart_sprint_planner
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name: smart_sprint_env
description: >
  OpenEnv environment for Agile sprint planning and dynamic re-planning.
  Agents must assign work across a team while handling changing capacity,
  injected urgent work, and shifting dependencies.
version: "1.0.0"
entrypoint: env.environment:SprintEnv

tasks:
  - easy
  - medium
  - hard

environment:
  max_steps: 20
  reward: dense
  observation_space: structured
  action_space: discrete_assignment

grading:
  completion_rate: 0.25
  on_time_delivery: 0.20
  extraction_quality: 0.15
  workload_balance: 0.10
  efficiency: 0.10
  adaptability: 0.20

dependencies:
  - fastapi
  - uvicorn
  - pydantic
  - numpy
  - openai
  - tenacity
  - torch

server:
  host: 0.0.0.0
  port: 7860
  endpoint_reset: /reset
  endpoint_step: /step
  endpoint_state: /state
  endpoint_grade: /grade