spec_version: 1
name: ai-sprint-manager
type: environment
runtime: python
app: server:app
port: 8000
description: >
  An RL environment where an AI agent acts as a Tech Lead managing
  agile sprints — assigning tasks to developers, balancing workload,
  and handling unexpected events to maximize team productivity.
tasks:
  - id: easy_sprint
    name: "Easy Sprint: Small Team, Clear Tasks"
    difficulty: easy
  - id: medium_sprint
    name: "Medium Sprint: Bugs + Delays"
    difficulty: medium
  - id: hard_sprint
    name: "Hard Sprint: Cascading Failures & Scope Changes"
    difficulty: hard

  - id: project_easy
    description: >
      AI Engineering Manager — 6-sprint project (60 days), small stable team,
      clear backlog, no cascade failures. Tests long-horizon planning baseline.
    difficulty: easy
    reset_endpoint: /project/reset
    step_endpoint: /project/step
    state_endpoint: /project/state
    health_endpoint: /project/health
    reset_payload:
      task_name: project_easy
      seed: 42
    max_steps: 60
    score_field: instruction_following_score
    metadata:
      round: 2
      num_sprints: 6
      total_days: 60
      num_tasks: 24
      num_instructions: 12
      theme: long_horizon_planning

  - id: project_medium
    description: >
      AI Engineering Manager — 6-sprint project (60 days), mid-size team with
      developer absences, urgent bugs, and conflicting instructions mid-sprint.
    difficulty: medium
    reset_endpoint: /project/reset
    step_endpoint: /project/step
    state_endpoint: /project/state
    health_endpoint: /project/health
    reset_payload:
      task_name: project_medium
      seed: 42
    max_steps: 60
    score_field: instruction_following_score
    metadata:
      round: 2
      num_sprints: 6
      total_days: 60
      num_tasks: 30
      num_instructions: 18
      theme: long_horizon_planning

  - id: project_hard
    description: >
      AI Engineering Manager — 6-sprint project (60 days), large team with
      cascading failures, scope pivots, conflicting instructions, and hard
      delivery deadline. Scale AI bonus prize target scenario.
    difficulty: hard
    reset_endpoint: /project/reset
    step_endpoint: /project/step
    state_endpoint: /project/state
    health_endpoint: /project/health
    reset_payload:
      task_name: project_hard
      seed: 42
    max_steps: 60
    score_field: instruction_following_score
    metadata:
      round: 2
      num_sprints: 6
      total_days: 60
      num_tasks: 37
      num_instructions: 25
      theme: long_horizon_planning
      scale_ai_bonus: true