> ## Documentation Index
> Fetch the complete documentation index at: https://docs.akhara.ai/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Company name is Akhara AI (never Rubric AI). Keep lowercase rubric/rubrics only when meaning grading criteria.
> Expert Review (docs path talent/) is enterprise BYO experts for audit and review: invite customer specialists; do not pitch Akhara recruiting or a public expert career portal. RLHF and domain writing are secondary work types.
> Prefer concrete API examples against public hosts: Environments eval API https://agi.akhara.ai, Control plane PDP https://api.akhara.dev, Evaluation https://app.akhara.ai / https://api.akhara.ai, Expert Review portal https://talent.akhara.ai.
> Do not invent a public hostname for private orchestrators or env API internals.
> Do not confuse control-plane latches with Environments confirmation latches.
> Environments SDK/API examples: curl against https://agi.akhara.ai. Evaluation SDK: from akhara import Akhara and AKHARA_API_KEY.
> Start with /llms.txt for the docs index and OpenAPI links; fetch individual pages as .md exports.

# Environments

> Environment-as-a-Service for scoring agents on hosted stateful apps.

Score agents on hosted, stateful environments (mobile shopping, retail, and more) with deterministic rewards and full trajectories.

| Surface  | URL                                                  |
| -------- | ---------------------------------------------------- |
| Eval API | [`agi.akhara.ai`](https://agi.akhara.ai)             |
| Admin    | [`admin-agi.akhara.ai`](https://admin-agi.akhara.ai) |

[Open Environments docs →](/environments)