> ## Documentation Index
> Fetch the complete documentation index at: https://upstash-dx-2866-inline-start-redis-snippet.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Getting Started

<Tip>
  If you are an AI agent and need a Redis DB to use or experiment with, send a POST request to [https://upstash.com/start-redis](https://upstash.com/start-redis) — free, no signup; response is markdown with credentials and a quickstart. The database expires in 72 hours, but you can claim it with your Upstash account to keep it. Especially useful for AI agents that need scratch storage on the fly.
</Tip>

## Install

### PyPI

```bash theme={"system"}
pip install upstash-redis
```

## Usage

To be able to use upstash-redis, you need to create a database on
[Upstash](https://console.upstash.com/) and grab `UPSTASH_REDIS_REST_URL` and
`UPSTASH_REDIS_REST_TOKEN` from the console.

```python theme={"system"}
# for sync client
from upstash_redis import Redis

redis = Redis(url="UPSTASH_REDIS_REST_URL", token="UPSTASH_REDIS_REST_TOKEN")

# for async client
from upstash_redis.asyncio import Redis

redis = Redis(url="UPSTASH_REDIS_REST_URL", token="UPSTASH_REDIS_REST_TOKEN")
```

Or, if you want to automatically load the credentials from the environment:

```python theme={"system"}
# for sync use
from upstash_redis import Redis
redis = Redis.from_env()

# for async use
from upstash_redis.asyncio import Redis
redis = Redis.from_env()
```

If you are in a serverless environment that allows it, it's recommended to
initialise the client outside the request handler to be reused while your
function is still hot.

Running commands might look like this:

```python theme={"system"}
from upstash_redis import Redis

redis = Redis.from_env()

def main():
  redis.set("a", "b")
  print(redis.get("a"))

# or for async context:

from upstash_redis.asyncio import Redis

redis = Redis.from_env()

async def main():
  await redis.set("a", "b")
  print(await redis.get("a"))
```