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PUT
/
v2
/
integrations
/
azure
Create Or Update Integration
curl --request PUT \
  --url https://api.galileo.ai/v2/integrations/azure \
  --header 'Content-Type: application/json' \
  --header 'Galileo-API-Key: <api-key>' \
  --data '{
  "token": "my_secret_api_token",
  "endpoint": "https://example-proxy.rungalileo.io",
  "proxy": true,
  "available_deployments": [
    {
      "model": "gpt-35-turbo",
      "id": "id1"
    },
    {
      "model": "gpt-4o-mini",
      "id": "id2"
    }
  ]
}'
{
  "id": "<string>",
  "permissions": [],
  "name": "anthropic",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "created_by": "<string>",
  "is_selected": false
}

Authorizations

​
Galileo-API-Key
string
header
required

Body

application/json
​
endpoint
string
required
​
token
string
required
​
proxy
boolean
default:false
​
api_version
string
default:2025-03-01-preview
​
azure_deployment
string | null
​
authentication_type
enum<string>
Available options:
api_key,
client_secret,
username_password,
custom_oauth2
​
authentication_scope
string | null
​
default_headers
object | null
​
deployments
object
​
oauth2_token_url
string | null

OAuth2 token URL for custom OAuth2 authentication

​
custom_header_mapping
object | null

Custom header mapping from internal fields to be included in the LLM request.

​
available_deployments
AzureModelDeployment · object[] | null

The available deployments for this integration. If provided, we will not try to get this list from Azure.

Response

Successful Response

​
id
string<uuid4>
required
​
name
enum<string>
required
Available options:
anthropic,
aws_bedrock,
aws_sagemaker,
azure,
custom,
databricks,
labelstudio,
mistral,
nvidia,
openai,
vegas_gateway,
vertex_ai,
writer
​
created_at
string<date-time>
required
​
updated_at
string<date-time>
required
​
created_by
string<uuid4>
required
​
permissions
Permission · object[]
​
is_selected
boolean
default:false
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