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environment:
  name: farmrl-phase1
  version: 0.1.0
  description: Minimal FarmRL OpenEnv implementation for Round-1 Phase-1.
  api:
    reset: POST /reset
    step: POST /step
    state: GET /state

defaults:
  API_BASE_URL: https://api.openai.com/v1
  MODEL_NAME: gpt-4o-mini
  TASK_NAME: farm-yield-optimization
  BENCHMARK: farmrl
  PORT: 7860

observation_schema:
  type: object
  required:
    - soil_moisture
    - soil_ph
    - temperature
    - rainfall
    - crop_stage
    - day
  properties:
    soil_moisture:
      type: number
      minimum: 0
      maximum: 100
    soil_ph:
      type: number
      minimum: 4
      maximum: 9
    temperature:
      type: number
    rainfall:
      type: number
      minimum: 0
    crop_stage:
      type: integer
      minimum: 0
    day:
      type: integer
      minimum: 0

action_schema:
  type: object
  required:
    - water
    - fertilizer
    - pesticide
  properties:
    water:
      type: number
      minimum: 0
      maximum: 50
    fertilizer:
      type: number
      minimum: 0
      maximum: 20
    pesticide:
      type: number
      minimum: 0
      maximum: 10

reward_schema:
  type: number
  description: yield_score + sustainability_bonus - resource_penalty

tasks:
  - id: task_easy_yield
    difficulty: easy
    description: Maximize agronomic yield performance using normalized total reward.
  - id: task_medium_chemical_efficiency
    difficulty: medium
    description: Minimize total fertilizer and pesticide while maintaining productivity.
  - id: task_hard_sustainability_balance
    difficulty: hard
    description: Optimize the long-term yield-to-chemical-use balance ratio.