name: code-review-agent-env
version: 1.0.0
description: |
  A realistic code review environment where AI agents review pull requests,
  identify issues, suggest improvements, and make approval decisions.
  Models real-world software development workflows.

authors:
  - Ashish <ashishkbaberwal@gmail.com>
  - Shardul <shardulmd@gmail.com>
  - Harshit <shakyanitin807@gmail.com>
tags:
  - code-review
  - software-engineering
  - agent-evaluation
  - real-world-task

license: MIT

environment:
  class: environment.env.CodeReviewEnv
  entry_point: environment.env:CodeReviewEnv

tasks:
  - id: bug_detection_easy_1
    name: "Easy: Detect Division by Zero"
    difficulty: easy

  - id: bug_detection_easy_2
    name: "Easy: Off-by-One Error"
    difficulty: easy

  - id: memory_leak_medium_1
    name: "Medium: Memory Leak Detection"
    difficulty: medium

  - id: performance_medium_2
    name: "Medium: String Concatenation Performance"
    difficulty: medium

  - id: security_hard_1
    name: "Hard: SQL Injection Vulnerability"
    difficulty: hard

  - id: race_condition_hard_2
    name: "Hard: Race Condition"
    difficulty: hard

observation_space:
  type: dict
  description: |
    Contains code diff, file context, and review status

action_space:
  type: dict
  description: |
    Actions include adding comments, suggesting fixes, approving, or requesting changes

reward_range:
  min: -0.5
  max: 1.0

max_episode_steps: 50

requires_api_keys:
  - API_KEY
  - HF_TOKEN
  - OPENAI_API_KEY
  - API_BASE_URL
  - MODEL_NAME