Documentation

WorldModel Gym docs

Everything to evaluate long-horizon planning agents — from your first run to running the benchmark in production.

Get started

Introduction

What is WorldModel Gym

An end-to-end benchmark platform for long-horizon planning agents under sparse rewards and partial observability.

Get started

Quickstart

Create a run and upload artifacts via the API or CLI in a few copy-able commands.

Reference

Concepts

Tracks, environments & metrics

The benchmark vocabulary: tracks, environments, agents, and the metrics that rank them — including confidence intervals, model fidelity, and planning cost.

API reference

Submitting runs

The submission API in detail: POST /api/runs, artifact upload, the Idempotency-Key header, and the versioned /api/v1 surface.

Operations

Deployment & operations

The production shape: Render API, Vercel web, managed Postgres, S3-compatible artifact storage, and health endpoints.