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GET
Retrieve endpoint status
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Describes a stable endpoint and the deployment records currently associated with it. Each deployment record identifies a running model version and its rollout status.

Authorizations

Authorization
string
header
required

Management API key generated from the Management API keys section on the API keys page at https://cloud.cerebras.ai. Use the format: Bearer <MANAGEMENT_API_KEY>

Path Parameters

endpoint_id
string
required

Unique identifier for the endpoint. It is used as the model field when making an inference request.

Example: my-org-gpt-oss-120b

Response

200 - application/json

Successful Response

A stable endpoint and the deployment records currently associated with it.

name
string
required

Stable endpoint ID (e.g. my-org-gpt-oss-120b). This field is named name for API compatibility.

model_arch_id
string
required

Name of the model architecture (e.g. llama3.1-8b, gpt-oss-120b).

deployed_models
DeployedModel · object[]
required

Deployment records currently associated with this endpoint. The field name is retained for API compatibility.

created
integer
required

Unix timestamp (in seconds) when the endpoint was created.

updated
integer
required

Unix timestamp (in seconds) when the endpoint was last updated.

managing_org_name
string | null

Organization that has management access to this endpoint.