> ## 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.

# Reviewers Overview

> Manage clinician reviewers.

## Overview

Reviewers are clinicians who grade AI outputs in the review workflow.

## Reviewer Object

```json theme={null}
{
  "id": "rev_abc123",
  "email": "dr.smith@hospital.org",
  "name": "Dr. Sarah Smith",
  "credentials": {
    "npi": "1234567890",
    "specialty": "internal_medicine"
  },
  "status": "active"
}
```

## Endpoints

* Create Reviewer
* List Reviewers
* Get Reviewer
* Update Reviewer
* Deactivate Reviewer