On-Prem Deployment

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

import kitefishai

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

Or via environment variables:

export KITEFISH_API_KEY="kf-..."
export KITEFISH_BASE_URL="https://your-internal-host/v1"

client = kitefishai.Client()  # picks up both env vars

Timeout tuning

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

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:

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,
)

Do not set verify=False in production. Always use a proper CA bundle.

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.

Embeddings Client

Getting Started

Guides

API Reference

Overview

Configuration

Timeout tuning

TLS / self-signed certificates

Data residency

​Overview

​Configuration

​Timeout tuning

​TLS / self-signed certificates

​Data residency

Overview

Configuration

Timeout tuning

TLS / self-signed certificates

Data residency