> ## 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.

# Schemas by Modality

> Sample schemas for different data types.

## Voice Sample

```json theme={null}
{
  "input": {
    "transcript": [...],
    "audio_url": "https://..."
  },
  "expected": {
    "triage_level": "urgent",
    "red_flags": ["chest_pain"]
  }
}
```

## Note Sample

```json theme={null}
{
  "input": {
    "transcript": "Patient presents with..."
  },
  "expected": {
    "soap_note": {...},
    "icd_codes": ["E11.9"]
  }
}
```

## Imaging Sample

```json theme={null}
{
  "input": {
    "study_uid": "1.2.840..."
  },
  "expected": {
    "findings": [...],
    "impression": "..."
  }
}
```
