| name: "customer-support-env" | |
| version: "1.0.0" | |
| description: > | |
| Enterprise AI Customer Support simulation where an agent learns to | |
| process a queue of support tickets by classifying issues, assigning | |
| priority, drafting empathetic responses, and resolving tickets. | |
| Implements the full OpenEnv step() / reset() / state() API. | |
| tasks: "backend/tasks.json" | |
| environment: | |
| type: "custom" | |
| package: "backend.env" | |
| class: "CustomerSupportEnv" | |
| mode: "simulation" | |
| license: "MIT" | |
| tags: | |
| - openenv | |
| - customer-support | |
| - enterprise-ai | |
| - decision-making | |
| - nlp | |
| - reinforcement-learning | |
| evaluation: | |
| grader_endpoint: "/grader" | |
| tasks_endpoint: "/tasks" | |
| min_tasks_with_graders: 3 | |
| runtime: | |
| entrypoint: "backend.main:app" | |
| port: 7860 | |
| health_endpoint: "/health" | |