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GET
/
integrations
/
{slug}
from portkey_ai import Portkey

# Initialize the Portkey client
portkey = Portkey(
    api_key="PORTKEY_API_KEY",
)

# Get a specific virtual key
virtual_key = portkey.virtual_keys.retrieve(
    slug='VIRTUAL_KEY_SLUG'
)

print(virtual_key)
{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "organisation_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "ai_provider_id": "<string>",
  "name": "<string>",
  "status": "active",
  "created_at": "2023-11-07T05:31:56Z",
  "last_updated_at": "2023-11-07T05:31:56Z",
  "slug": "<string>",
  "description": "<string>",
  "object": "integration",
  "masked_key": "<string>",
  "configurations": {
    "openai_organization": "<string>",
    "openai_project": "<string>"
  },
  "global_workspace_access_settings": {
    "enabled": true,
    "usage_limits": [
      {
        "credit_limit": 10,
        "periodic_reset": "monthly",
        "alert_threshold": 8
      }
    ],
    "rate_limits": [
      {
        "type": "requests",
        "unit": "rpd",
        "value": 123
      }
    ]
  },
  "allow_all_models": true,
  "workspace_count": 123
}

Authorizations

​
x-portkey-api-key
string
header
required

Path Parameters

​
slug
string
required

Response

200 - application/json

Successful response

​
id
string<UUID>
​
organisation_id
string<UUID>
​
ai_provider_id
string
​
name
string
​
status
enum<string>
Available options:
active,
archived
​
created_at
string<date-time>
​
last_updated_at
string<date-time> | null
​
slug
string
​
description
string
​
object
enum<string>
Available options:
integration
​
masked_key
string

Masked API key

​
configurations
OpenAI · object

Provider-specific configuration object

⚠️ Security Note - Response Masking: When retrieving integration details, sensitive fields are automatically masked:

  • Sensitive fields get a masked_ prefix (e.g., client_secret → masked_client_secret)
  • Non-sensitive fields (IDs, URLs, regions, etc.) remain unchanged
  • OpenAI
  • Azure OpenAI
  • AWS Bedrock
  • Vertex AI
  • Azure AI
  • Workers AI
  • AWS Sagemaker
  • Hugginface
  • Cortex
  • Custom Base URL
​
global_workspace_access_settings
object

Global workspace access configuration

​
allow_all_models
boolean

Whether new models will be enabled by default

​
workspace_count
integer

Number of workspaces with access to this integration