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Arize class to begin logging predictions and actuals. Import and initialize Arize Client from arize.api 
from arize.api import Client

class Client(
    api_key: str,
    space_id: str,
    uri: Optional[str] = "https://api.arize.com/v1",
    max_workers: Optional[int] = 8,
    max_queue_bound: Optional[int] = 5000
)
ArgumentData TypeDescription
api_keystr(Required) Arize-provided api key associated with your service/space. Click “Show API Key” in the “Upload Data” page to copy the key.
space_idstr(Required) Arize-provided identifier for relating records to spaces. Click “Show API Key” in the “Upload Data” page to copy the key. *If using version < 4.0.0, replace space_id=SPACE_ID with organization_key=SPACE_ID
uristr(Optional) URI endpoint required for on-prem customers. Defaults to “https://api.arize.com/v1”
max_workersint(Optional) Number of max concurrent requests to Arize. Default value = 8
max_queue_boundint(Optional) Number of maximum concurrent future objects queued for publishing to Arize. Default value = 5000

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Code Example

from arize.api import Client
from arize.utils.types import ModelTypes, Environments, Embedding


API_KEY = 'ARIZE_API_KEY'
SPACE_ID = 'YOUR SPACE ID'
arize_client = Client(space_id=SPACE_ID, api_key=API_KEY)

if SPACE_ID == "SPACE_ID" or API_KEY == "API_KEY":
    raise ValueError("❌ CHANGE SPACE ID AND/OR API KEY")
else:
    print("✅ Arize client setup done! Now you can start using Arize!")