> ## 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.

# Rate Limits

> API rate limiting policies.

## Default Limits

| Plan           | Requests/min | Concurrent |
| -------------- | ------------ | ---------- |
| **Free**       | 60           | 5          |
| **Pro**        | 300          | 20         |
| **Enterprise** | Custom       | Custom     |

## Rate Limit Headers

```
X-RateLimit-Limit: 300
X-RateLimit-Remaining: 299
X-RateLimit-Reset: 1640000000
```

## Handling 429 Responses

```python theme={null}
from akhara.exceptions import RateLimitError

try:
    client.calls.list()
except RateLimitError as e:
    print(f"Rate limited. Retry after {e.retry_after}s")
```