Update Integration

PUT /integrations/{slug}

Python

Default

from portkey_ai import Portkey

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

# Update a specific integration
integration = portkey.integrations.update(
    slug="INTEGRATION_SLUG',
    name="updated-name",
    note="hello"
)

print(integration)

200

{}

Authorizations

x-portkey-api-key · string · header · required

Path Parameters

slug · string · required

Body

application/json

name · string

Human-readable name for the integration

Example:

"Production OpenAI"

key · string

API key for the provider (if required)

Example:

"sk-..."

description · string

Optional description of the integration

Example:

"Production OpenAI integration for customer-facing applications"

configurations · OpenAI · object

Provider-specific configuration object

OpenAI

Azure OpenAI

AWS Bedrock

Vertex AI

Azure AI

Workers AI

AWS Sagemaker

Hugginface

Cortex

Custom Base URL

Show child attributes

secret_mappings · object[]

Dynamically resolve secrets from secret references at runtime. Valid target_field values are "key" or "configurations." (e.g. "configurations.aws_secret_access_key", "configurations.azure_entra_client_secret"). Each target_field must be unique.

Show child attributes

pricing_adjustments · object

Per-Integration pricing adjustments applied on top of Portkey's base model pricing for cost tracking, analytics, and budget limits. Use to reflect negotiated discounts, committed-use rates, or internal markups for cost showback.

Show child attributes

Example:

{
  "multiplier": {
    "default": 0.8,
    "cache_read_input_token": 0.9,
    "cache_write_input_token": 0.9
  }
}

Response

200 - application/json

Successful response

The response is of type object.