> ## 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.

# SDKs Overview

> Official client libraries for the Akhara API.

## Available SDKs

<CardGroup cols={2}>
  <Card title="Python" icon="python" href="/evaluation/api-reference/sdks/python">
    `pip install akhara`
  </Card>

  <Card title="TypeScript/Node.js" icon="node-js">
    `npm install @akhara/sdk`
  </Card>
</CardGroup>

## Coming Soon

* Go SDK
* Ruby SDK
* Java SDK

## REST API

All SDKs wrap the REST API documented in this reference. You can also use the API directly with any HTTP client.

```bash theme={null}
curl https://api.akhara.ai/v1/datasets \
  -H "Authorization: Bearer gr_live_xxx"
```