name: multi-domain-ai-agent-environment
version: "2.0.0"
description: >
  A real-world OpenEnv environment testing AI agents across four professional
  domains: Customer Support Triage, Legal Document Review, Clinical Patient
  Triage, and Software Engineering PR Review. Each domain contains 3 tasks
  progressing from easy classification to hard open-ended generation.
author: OpenEnv Contributor
tags:
  - customer-support
  - legal
  - clinical
  - engineering
  - nlp
  - multi-domain
  - real-world
  - triage
tasks:
  - id: ticket_classification
    name: Ticket Classification & Routing
    difficulty: easy
    score_range: [0.001, 0.999]
    domain: customer_support
  - id: response_drafting
    name: Response Drafting & Quality
    difficulty: medium
    score_range: [0.001, 0.999]
    domain: customer_support
  - id: queue_management
    name: SLA Queue Management
    difficulty: hard
    score_range: [0.001, 0.999]
    domain: customer_support
  - id: multi_turn_conversation
    name: Multi-Turn De-escalation
    difficulty: very_hard
    score_range: [0.001, 0.999]
    domain: customer_support
  - id: legal_clause_identification
    name: Legal Clause Identification
    difficulty: easy
    score_range: [0.001, 0.999]
    domain: legal
  - id: legal_risk_flagging
    name: Legal Risk Flagging
    difficulty: medium
    score_range: [0.001, 0.999]
    domain: legal
  - id: legal_clause_redlining
    name: Legal Clause Redlining
    difficulty: hard
    score_range: [0.001, 0.999]
    domain: legal
  - id: clinical_triage_classification
    name: Clinical Triage Body System
    difficulty: easy
    score_range: [0.001, 0.999]
    domain: clinical
  - id: clinical_esi_assignment
    name: Clinical ESI Assignment
    difficulty: medium
    score_range: [0.001, 0.999]
    domain: clinical
  - id: clinical_triage_note
    name: Clinical Triage Note Generation
    difficulty: hard
    score_range: [0.001, 0.999]
    domain: clinical
  - id: pr_type_classification
    name: PR Type Classification
    difficulty: easy
    score_range: [0.001, 0.999]
    domain: engineering
  - id: pr_bug_identification
    name: PR Bug Identification
    difficulty: medium
    score_range: [0.001, 0.999]
    domain: engineering
  - id: pr_review_comment
    name: PR Code Review
    difficulty: hard
    score_range: [0.001, 0.999]
    domain: engineering
endpoints:
  reset: POST /reset
  step: POST /step
  state: GET /state
  tasks: GET /tasks
  grader: POST /grader
  baseline: POST /baseline
observation_schema: app.models.Observation
action_schema: app.models.Action
reward_schema: app.models.Reward