Oracle Cloud Infrastructure v3.10.0, Nov 5 25

Oracle Cloud Infrastructure v3.10.0 published on Wednesday, Nov 5, 2025 by Pulumi

oci.GenerativeAi.getEndpoints

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Explain and create an oci.GenerativeAi.getEndpoints resource

Oracle Cloud Infrastructure v3.10.0 published on Wednesday, Nov 5, 2025 by Pulumi

pulumi/pulumi-oci

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as oci from "@pulumi/oci";

const testEndpoints = oci.GenerativeAi.getEndpoints({
    compartmentId: compartmentId,
    displayName: endpointDisplayName,
    generativeAiPrivateEndpointId: testGenerativeAiPrivateEndpoint.id,
    id: endpointId,
    state: endpointState,
});

import pulumi
import pulumi_oci as oci

test_endpoints = oci.GenerativeAi.get_endpoints(compartment_id=compartment_id,
    display_name=endpoint_display_name,
    generative_ai_private_endpoint_id=test_generative_ai_private_endpoint["id"],
    id=endpoint_id,
    state=endpoint_state)

package main

import (
	"github.com/pulumi/pulumi-oci/sdk/v3/go/oci/generativeai"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := generativeai.GetEndpoints(ctx, &generativeai.GetEndpointsArgs{
			CompartmentId:                 compartmentId,
			DisplayName:                   pulumi.StringRef(endpointDisplayName),
			GenerativeAiPrivateEndpointId: pulumi.StringRef(testGenerativeAiPrivateEndpoint.Id),
			Id:                            pulumi.StringRef(endpointId),
			State:                         pulumi.StringRef(endpointState),
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Oci = Pulumi.Oci;

return await Deployment.RunAsync(() => 
{
    var testEndpoints = Oci.GenerativeAi.GetEndpoints.Invoke(new()
    {
        CompartmentId = compartmentId,
        DisplayName = endpointDisplayName,
        GenerativeAiPrivateEndpointId = testGenerativeAiPrivateEndpoint.Id,
        Id = endpointId,
        State = endpointState,
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.oci.GenerativeAi.GenerativeAiFunctions;
import com.pulumi.oci.GenerativeAi.inputs.GetEndpointsArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var testEndpoints = GenerativeAiFunctions.getEndpoints(GetEndpointsArgs.builder()
            .compartmentId(compartmentId)
            .displayName(endpointDisplayName)
            .generativeAiPrivateEndpointId(testGenerativeAiPrivateEndpoint.id())
            .id(endpointId)
            .state(endpointState)
            .build());

    }
}

variables:
  testEndpoints:
    fn::invoke:
      function: oci:GenerativeAi:getEndpoints
      arguments:
        compartmentId: ${compartmentId}
        displayName: ${endpointDisplayName}
        generativeAiPrivateEndpointId: ${testGenerativeAiPrivateEndpoint.id}
        id: ${endpointId}
        state: ${endpointState}

Using getEndpoints

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getEndpoints(args: GetEndpointsArgs, opts?: InvokeOptions): Promise<GetEndpointsResult>
function getEndpointsOutput(args: GetEndpointsOutputArgs, opts?: InvokeOptions): Output<GetEndpointsResult>

def get_endpoints(compartment_id: Optional[str] = None,
                  display_name: Optional[str] = None,
                  filters: Optional[Sequence[GetEndpointsFilter]] = None,
                  generative_ai_private_endpoint_id: Optional[str] = None,
                  id: Optional[str] = None,
                  state: Optional[str] = None,
                  opts: Optional[InvokeOptions] = None) -> GetEndpointsResult
def get_endpoints_output(compartment_id: Optional[pulumi.Input[str]] = None,
                  display_name: Optional[pulumi.Input[str]] = None,
                  filters: Optional[pulumi.Input[Sequence[pulumi.Input[GetEndpointsFilterArgs]]]] = None,
                  generative_ai_private_endpoint_id: Optional[pulumi.Input[str]] = None,
                  id: Optional[pulumi.Input[str]] = None,
                  state: Optional[pulumi.Input[str]] = None,
                  opts: Optional[InvokeOptions] = None) -> Output[GetEndpointsResult]

func GetEndpoints(ctx *Context, args *GetEndpointsArgs, opts ...InvokeOption) (*GetEndpointsResult, error)
func GetEndpointsOutput(ctx *Context, args *GetEndpointsOutputArgs, opts ...InvokeOption) GetEndpointsResultOutput

> Note: This function is named GetEndpoints in the Go SDK.

public static class GetEndpoints 
{
    public static Task<GetEndpointsResult> InvokeAsync(GetEndpointsArgs args, InvokeOptions? opts = null)
    public static Output<GetEndpointsResult> Invoke(GetEndpointsInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetEndpointsResult> getEndpoints(GetEndpointsArgs args, InvokeOptions options)
public static Output<GetEndpointsResult> getEndpoints(GetEndpointsArgs args, InvokeOptions options)

fn::invoke:
  function: oci:GenerativeAi/getEndpoints:getEndpoints
  arguments:
    # arguments dictionary

The following arguments are supported:

CompartmentId string: The OCID of the compartment in which to list resources.
DisplayName string: A filter to return only resources that match the given display name exactly.
Filters List<GetEndpointsFilter>
GenerativeAiPrivateEndpointId string: The OCID of the private endpoint.
Id string: The OCID of the endpoint.
State string: A filter to return only resources that their lifecycle state matches the given lifecycle state.

CompartmentId string: The OCID of the compartment in which to list resources.
DisplayName string: A filter to return only resources that match the given display name exactly.
Filters []GetEndpointsFilter
GenerativeAiPrivateEndpointId string: The OCID of the private endpoint.
Id string: The OCID of the endpoint.
State string: A filter to return only resources that their lifecycle state matches the given lifecycle state.

compartmentId String: The OCID of the compartment in which to list resources.
displayName String: A filter to return only resources that match the given display name exactly.
filters List<GetEndpointsFilter>
generativeAiPrivateEndpointId String: The OCID of the private endpoint.
id String: The OCID of the endpoint.
state String: A filter to return only resources that their lifecycle state matches the given lifecycle state.

compartmentId string: The OCID of the compartment in which to list resources.
displayName string: A filter to return only resources that match the given display name exactly.
filters GetEndpointsFilter[]
generativeAiPrivateEndpointId string: The OCID of the private endpoint.
id string: The OCID of the endpoint.
state string: A filter to return only resources that their lifecycle state matches the given lifecycle state.

compartment_id str: The OCID of the compartment in which to list resources.
display_name str: A filter to return only resources that match the given display name exactly.
filters Sequence[GetEndpointsFilter]
generative_ai_private_endpoint_id str: The OCID of the private endpoint.
id str: The OCID of the endpoint.
state str: A filter to return only resources that their lifecycle state matches the given lifecycle state.

compartmentId String: The OCID of the compartment in which to list resources.
displayName String: A filter to return only resources that match the given display name exactly.
filters List<Property Map>
generativeAiPrivateEndpointId String: The OCID of the private endpoint.
id String: The OCID of the endpoint.
state String: A filter to return only resources that their lifecycle state matches the given lifecycle state.

getEndpoints Result

The following output properties are available:

CompartmentId string
EndpointCollections List<GetEndpointsEndpointCollection>: The list of endpoint_collection.
DisplayName string
Filters List<GetEndpointsFilter>
GenerativeAiPrivateEndpointId string
Id string
State string: The current state of the endpoint.

CompartmentId string
EndpointCollections []GetEndpointsEndpointCollection: The list of endpoint_collection.
DisplayName string
Filters []GetEndpointsFilter
GenerativeAiPrivateEndpointId string
Id string
State string: The current state of the endpoint.

compartmentId String
endpointCollections List<GetEndpointsEndpointCollection>: The list of endpoint_collection.
displayName String
filters List<GetEndpointsFilter>
generativeAiPrivateEndpointId String
id String
state String: The current state of the endpoint.

compartmentId string
endpointCollections GetEndpointsEndpointCollection[]: The list of endpoint_collection.
displayName string
filters GetEndpointsFilter[]
generativeAiPrivateEndpointId string
id string
state string: The current state of the endpoint.

compartment_id str
endpoint_collections Sequence[GetEndpointsEndpointCollection]: The list of endpoint_collection.
display_name str
filters Sequence[GetEndpointsFilter]
generative_ai_private_endpoint_id str
id str
state str: The current state of the endpoint.

compartmentId String
endpointCollections List<Property Map>: The list of endpoint_collection.
displayName String
filters List<Property Map>
generativeAiPrivateEndpointId String
id String
state String: The current state of the endpoint.

Supporting Types

GetEndpointsEndpointCollection

Items List<GetEndpointsEndpointCollectionItem>

Items []GetEndpointsEndpointCollectionItem

items List<GetEndpointsEndpointCollectionItem>

items GetEndpointsEndpointCollectionItem[]

items Sequence[GetEndpointsEndpointCollectionItem]

items List<Property Map>

GetEndpointsEndpointCollectionItem

CompartmentId string: The OCID of the compartment in which to list resources.
ContentModerationConfigs List<GetEndpointsEndpointCollectionItemContentModerationConfig>: The configuration details, whether to add the content moderation feature to the model. Content moderation removes toxic and biased content from responses.
DedicatedAiClusterId string: The OCID of the dedicated AI cluster on which the model will be deployed to.
DefinedTags Dictionary<string, string>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
Description string
DisplayName string: A filter to return only resources that match the given display name exactly.
FreeformTags Dictionary<string, string>
GenerativeAiPrivateEndpointId string: The OCID of the private endpoint.
Id string: The OCID of the endpoint.
LifecycleDetails string: A message describing the current state of the endpoint in more detail that can provide actionable information.
ModelId string: The OCID of the model used for the feature.
State string: A filter to return only resources that their lifecycle state matches the given lifecycle state.
SystemTags Dictionary<string, string>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
TimeCreated string
TimeUpdated string

CompartmentId string: The OCID of the compartment in which to list resources.
ContentModerationConfigs []GetEndpointsEndpointCollectionItemContentModerationConfig: The configuration details, whether to add the content moderation feature to the model. Content moderation removes toxic and biased content from responses.
DedicatedAiClusterId string: The OCID of the dedicated AI cluster on which the model will be deployed to.
DefinedTags map[string]string: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
Description string
DisplayName string: A filter to return only resources that match the given display name exactly.
FreeformTags map[string]string
GenerativeAiPrivateEndpointId string: The OCID of the private endpoint.
Id string: The OCID of the endpoint.
LifecycleDetails string: A message describing the current state of the endpoint in more detail that can provide actionable information.
ModelId string: The OCID of the model used for the feature.
State string: A filter to return only resources that their lifecycle state matches the given lifecycle state.
SystemTags map[string]string: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
TimeCreated string
TimeUpdated string

compartmentId String: The OCID of the compartment in which to list resources.
contentModerationConfigs List<GetEndpointsEndpointCollectionItemContentModerationConfig>: The configuration details, whether to add the content moderation feature to the model. Content moderation removes toxic and biased content from responses.
dedicatedAiClusterId String: The OCID of the dedicated AI cluster on which the model will be deployed to.
definedTags Map<String,String>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description String
displayName String: A filter to return only resources that match the given display name exactly.
freeformTags Map<String,String>
generativeAiPrivateEndpointId String: The OCID of the private endpoint.
id String: The OCID of the endpoint.
lifecycleDetails String: A message describing the current state of the endpoint in more detail that can provide actionable information.
modelId String: The OCID of the model used for the feature.
state String: A filter to return only resources that their lifecycle state matches the given lifecycle state.
systemTags Map<String,String>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated String
timeUpdated String

compartmentId string: The OCID of the compartment in which to list resources.
contentModerationConfigs GetEndpointsEndpointCollectionItemContentModerationConfig[]: The configuration details, whether to add the content moderation feature to the model. Content moderation removes toxic and biased content from responses.
dedicatedAiClusterId string: The OCID of the dedicated AI cluster on which the model will be deployed to.
definedTags {[key: string]: string}: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description string
displayName string: A filter to return only resources that match the given display name exactly.
freeformTags {[key: string]: string}
generativeAiPrivateEndpointId string: The OCID of the private endpoint.
id string: The OCID of the endpoint.
lifecycleDetails string: A message describing the current state of the endpoint in more detail that can provide actionable information.
modelId string: The OCID of the model used for the feature.
state string: A filter to return only resources that their lifecycle state matches the given lifecycle state.
systemTags {[key: string]: string}: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated string
timeUpdated string

compartment_id str: The OCID of the compartment in which to list resources.
content_moderation_configs Sequence[GetEndpointsEndpointCollectionItemContentModerationConfig]: The configuration details, whether to add the content moderation feature to the model. Content moderation removes toxic and biased content from responses.
dedicated_ai_cluster_id str: The OCID of the dedicated AI cluster on which the model will be deployed to.
defined_tags Mapping[str, str]: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description str
display_name str: A filter to return only resources that match the given display name exactly.
freeform_tags Mapping[str, str]
generative_ai_private_endpoint_id str: The OCID of the private endpoint.
id str: The OCID of the endpoint.
lifecycle_details str: A message describing the current state of the endpoint in more detail that can provide actionable information.
model_id str: The OCID of the model used for the feature.
state str: A filter to return only resources that their lifecycle state matches the given lifecycle state.
system_tags Mapping[str, str]: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
time_created str
time_updated str

compartmentId String: The OCID of the compartment in which to list resources.
contentModerationConfigs List<Property Map>: The configuration details, whether to add the content moderation feature to the model. Content moderation removes toxic and biased content from responses.
dedicatedAiClusterId String: The OCID of the dedicated AI cluster on which the model will be deployed to.
definedTags Map<String>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description String
displayName String: A filter to return only resources that match the given display name exactly.
freeformTags Map<String>
generativeAiPrivateEndpointId String: The OCID of the private endpoint.
id String: The OCID of the endpoint.
lifecycleDetails String: A message describing the current state of the endpoint in more detail that can provide actionable information.
modelId String: The OCID of the model used for the feature.
state String: A filter to return only resources that their lifecycle state matches the given lifecycle state.
systemTags Map<String>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated String
timeUpdated String

GetEndpointsEndpointCollectionItemContentModerationConfig

IsEnabled bool: Whether to enable the content moderation feature.
Mode string: Enum for the modes of operation for inference protection.
ModelId string: The OCID of the model used for the feature.

IsEnabled bool: Whether to enable the content moderation feature.
Mode string: Enum for the modes of operation for inference protection.
ModelId string: The OCID of the model used for the feature.

isEnabled Boolean: Whether to enable the content moderation feature.
mode String: Enum for the modes of operation for inference protection.
modelId String: The OCID of the model used for the feature.

isEnabled boolean: Whether to enable the content moderation feature.
mode string: Enum for the modes of operation for inference protection.
modelId string: The OCID of the model used for the feature.

is_enabled bool: Whether to enable the content moderation feature.
mode str: Enum for the modes of operation for inference protection.
model_id str: The OCID of the model used for the feature.

isEnabled Boolean: Whether to enable the content moderation feature.
mode String: Enum for the modes of operation for inference protection.
modelId String: The OCID of the model used for the feature.

GetEndpointsFilter

Name string
Values List<string>
Regex bool

Name string
Values []string
Regex bool

name String
values List<String>
regex Boolean

name string
values string[]
regex boolean

name str
values Sequence[str]
regex bool

name String
values List<String>
regex Boolean

Package Details

Repository: oci pulumi/pulumi-oci
License: Apache-2.0
Notes: This Pulumi package is based on the oci Terraform Provider.

Oracle Cloud Infrastructure v3.10.0 published on Wednesday, Nov 5, 2025 by Pulumi

pulumi/pulumi-oci

oci.GenerativeAi.getEndpoints

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Example Usage

Using getEndpoints

getEndpoints Result

Supporting Types

GetEndpointsEndpointCollection

GetEndpointsEndpointCollectionItem

GetEndpointsEndpointCollectionItemContentModerationConfig

GetEndpointsFilter

Package Details

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