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

# On-Prem Deployment

> Use the SDK with air-gapped, on-premise KiteFishAI deployments.

## Overview

KiteFishAI is designed for regulated enterprises that cannot send data to external APIs. The Python SDK works identically against an on-prem deployment — just point it at your internal host.

## Configuration

```python theme={null}
import kitefishai

client = kitefishai.Client(
    api_key="kf-...",
    base_url="https://your-internal-host/v1",
)
```

Or via environment variables:

```bash theme={null}
export KITEFISH_API_KEY="kf-..."
export KITEFISH_BASE_URL="https://your-internal-host/v1"
```

```python theme={null}
client = kitefishai.Client()  # picks up both env vars
```

## Timeout tuning

On-prem hardware may have different latency characteristics. Tune accordingly:

```python theme={null}
client = kitefishai.Client(
    api_key="kf-...",
    base_url="https://your-internal-host/v1",
    timeout=120.0,
    max_retries=3,
)
```

## TLS / self-signed certificates

If your internal deployment uses a self-signed certificate, pass a custom `httpx` client:

```python theme={null}
import httpx
import kitefishai

http_client = httpx.Client(verify="/path/to/internal-ca.crt")

client = kitefishai.Client(
    api_key="kf-...",
    base_url="https://your-internal-host/v1",
    http_client=http_client,
)
```

<Warning>
  Do not set `verify=False` in production. Always use a proper CA bundle.
</Warning>

## Data residency

All data stays within your premises. No telemetry or usage data is sent to KiteFishAI servers when running on-prem. This satisfies requirements under RBI, IRDAI, and India's DPDP Act 2023.