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

# Python Example

## Prerequisites

To use the Helicone AI GraphQL API, make sure that you have the `gql` and `aiohttp` libraries installed in your Python environment. You can install these packages with the following commands:

```shell theme={null}
pip install gql
pip install aiohttp
```

## Setting up a GraphQL Client

Here's how to setup a GraphQL client to communicate with the Helicone API:

```python theme={null}
from gql.transport.aiohttp import AIOHTTPTransport
from gql import gql, Client

url = "https://www.helicone.ai/api/graphql"

# Replace <KEY> with your personal access key
transport = AIOHTTPTransport(url=url, headers={
    "Authorization": "Bearer sk-<KEY>"
})

client = Client(transport=transport, fetch_schema_from_transport=True)
```

In this code:

* `url` is the endpoint of the Helicone AI GraphQL API.
* `AIOHTTPTransport` establishes the connection to the API endpoint.
* `Client` is a GraphQL client that communicates with the API using the provided transport.

## Fetching Data from the API

Here's how to fetch data from the Helicone AI API using GraphQL:

```python theme={null}
MAX_LOOPS = 10
SIZE = 100
for i in range(MAX_LOOPS):
    query = gql(
        """
        query getData($limit: Int, $offset: Int) {
            heliconeRequest(
                limit: $limit
                offset: $offset
                filters: []
            ) {
                prompt
                properties{
                    name
                }
                responseBody
                response
            }
        }
    """
    )
    result = client.execute(query,
                            variable_values={
                                "limit": SIZE,
                                "offset": i * SIZE
                            }
                            )
    if (len(result["heliconeRequest"]) == 0):
        print("No more results")
        break
    print(len(result["heliconeRequest"]))
    print(result)
```

In this code:

* `MAX_LOOPS` is the maximum number of requests the client will make to the API.
* `SIZE` is the number of records fetched per request.
* `gql` parses the GraphQL query.
* `client.execute` runs the query and returns the result. The `variable_values` parameter is used to set the `limit` and `offset` in the GraphQL query.

The response contains a list of `heliconeRequest` objects. Each object includes the `prompt`, a list of `properties` with their `name`, the `responseBody`, and the `response`.

The loop continues to fetch data until there are no more records (when `result["heliconeRequest"]` is an empty list), at which point it prints "No more results" and stops.


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