InferenceEndpointView.md

InferenceEndpointView

Properties

Name	Type	Description	Notes
id	str	Inference endpoint ID (same as the underlying deployment ID).	[readonly]
name	str		[readonly]
status	str	Underlying Saturn deployment status: pending, running, stopping, stopped, or error.	[readonly]
created_at	str		[readonly]
base_model	str	HuggingFace base model id derived from the checkpoint Artifact's ``metadata.base_model`` at create time.	[readonly]
checkpoint_artifact_id	str	Artifact id of the checkpoint this endpoint is serving.	[readonly]
instance_size	str		[readonly]
endpoint_url	str	Public URL clients POST OpenAI-compatible inference requests to. Uses the deployment's auto-generated subdomain. Returns the URL regardless of running state — clients can stash it; calls fail while the endpoint is stopped.	[readonly]
checkpoint	Artifact	Resolved checkpoint Artifact. Null only if the artifact was deleted out from under the endpoint (we block that path; the field is nullable defensively).	[readonly]

Example

from saturn_api.models.inference_endpoint_view import InferenceEndpointView

# TODO update the JSON string below
json = "{}"
# create an instance of InferenceEndpointView from a JSON string
inference_endpoint_view_instance = InferenceEndpointView.from_json(json)
# print the JSON string representation of the object
print(InferenceEndpointView.to_json())

# convert the object into a dict
inference_endpoint_view_dict = inference_endpoint_view_instance.to_dict()
# create an instance of InferenceEndpointView from a dict
inference_endpoint_view_from_dict = InferenceEndpointView.from_dict(inference_endpoint_view_dict)

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