> ## 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.

# Quickstart

> Get up and running with the KiteFishAI Python SDK in under 5 minutes.

## Install

```bash theme={null}
pip install kitefishai
```

## Get an API key

Sign in at [platform.kitefishai.com/dashboard](https://platform.kitefishai.com/login) and create an API key. Keys start with `kf-`.

## Your first request

```python theme={null}
import kitefishai

client = kitefishai.Client(api_key="kf-...")

response = client.chat.complete(
    model="kf-reasoning-10b",
    messages=[
        {"role": "user", "content": "Summarise the DPDP Act 2023."}
    ],
)

print(response.choices[0].message.content)
```

## Streaming

```python theme={null}
with client.chat.stream(
    model="kf-reasoning-10b",
    messages=[{"role": "user", "content": "Explain claim settlement."}],
) as stream:
    for chunk in stream:
        print(chunk.delta, end="", flush=True)
```

## Embeddings

```python theme={null}
result = client.embeddings.create(
    model="minnow-em-v1",
    input=["query: what is KYC?"],
)

print(result.data[0].embedding[:5])
```

## Next steps

<CardGroup cols={2}>
  <Card title="Authentication" icon="key" href="/guides/authentication">
    API keys and environment variables
  </Card>

  <Card title="Streaming" icon="bolt" href="/guides/streaming">
    Stream chat responses token by token
  </Card>

  <Card title="Embeddings" icon="layers" href="/guides/embeddings">
    Generate embeddings with Minnow-Em
  </Card>

  <Card title="On-Prem Deployment" icon="server" href="/guides/on-prem">
    Use the SDK with air-gapped deployments
  </Card>
</CardGroup>