Client
Arize class to begin logging predictions and actuals.
Import and initialize Arize Client from
arize.apifrom arize.api import Client
class Client(
api_key: str,
space_key: str,
uri: Optional[str] = "https://api.arize.com/v1",
max_workers: Optional[int] = 8,
max_queue_bound: Optional[int] = 5000
)
Argument | Data Type | Description |
|---|---|---|
api_key | str | (Required) Arize-provided api key associated with your service/space. Click "Show API Key" in the "Upload Data" page to copy the key. |
space_key | str | (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_key=SPACE_KEY with organization_key=SPACE_KEY |
uri | str | (Optional) URI endpoint required for on-prem customers. Defaults to "https://api.arize.com/v1" |
max_workers | int | (Optional) Number of max concurrent requests to Arize. Default value = 8 |
max_queue_bound | int | (Optional) Number of maximum concurrent future objects queued for publishing to Arize. Default value = 5000 |
from arize.api import Client
from arize.utils.types import ModelTypes, Environments, Embedding
API_KEY = 'ARIZE_API_KEY'
SPACE_KEY = 'YOUR SPACE KEY'
arize_client = Client(space_key=SPACE_KEY, api_key=API_KEY)
if SPACE_KEY == "SPACE_KEY" or API_KEY == "API_KEY":
raise ValueError("❌ CHANGE SPACE AND API KEYS")
else:
print("✅ Arize client setup done! Now you can start using Arize!")
Last modified 8mo ago