harness.platform.getConnectorAnthropicModel

Harness v0.17.6, Oct 31 26

Viewing docs for Harness v0.17.6
published on Saturday, Oct 31, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-harness

Viewing docs for Harness v0.17.6
published on Saturday, Oct 31, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-harness

Example Usage

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

const example = harness.platform.getConnectorAnthropicModel({
    identifier: "identifier",
});

import pulumi
import pulumi_harness as harness

example = harness.platform.get_connector_anthropic_model(identifier="identifier")

package main

import (
	"github.com/pulumi/pulumi-harness/sdk/go/harness/platform"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := platform.LookupConnectorAnthropicModel(ctx, &platform.LookupConnectorAnthropicModelArgs{
			Identifier: "identifier",
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var example = Harness.Platform.GetConnectorAnthropicModel.Invoke(new()
    {
        Identifier = "identifier",
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.harness.platform.PlatformFunctions;
import com.pulumi.harness.platform.inputs.GetConnectorAnthropicModelArgs;
import java.util.ArrayList;
import java.util.Arrays;
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 example = PlatformFunctions.getConnectorAnthropicModel(GetConnectorAnthropicModelArgs.builder()
            .identifier("identifier")
            .build());

    }
}

variables:
  example:
    fn::invoke:
      function: harness:platform:getConnectorAnthropicModel
      arguments:
        identifier: identifier

terraform {
  required_providers {
    harness = {
      source = "pulumi/harness"
    }
  }
}

data "harness_platform_connector_anthropic_model" "example" {
  identifier = "identifier"
}

Using getConnectorAnthropicModel

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 getConnectorAnthropicModel(args: GetConnectorAnthropicModelArgs, opts?: InvokeOptions): Promise<GetConnectorAnthropicModelResult>
function getConnectorAnthropicModelOutput(args: GetConnectorAnthropicModelOutputArgs, opts?: InvokeOutputOptions): Output<GetConnectorAnthropicModelResult>

def get_connector_anthropic_model(identifier: Optional[str] = None,
                                  name: Optional[str] = None,
                                  org_id: Optional[str] = None,
                                  project_id: Optional[str] = None,
                                  opts: Optional[InvokeOptions] = None) -> GetConnectorAnthropicModelResult
def get_connector_anthropic_model_output(identifier: pulumi.Input[Optional[str]] = None,
                                  name: pulumi.Input[Optional[str]] = None,
                                  org_id: pulumi.Input[Optional[str]] = None,
                                  project_id: pulumi.Input[Optional[str]] = None,
                                  opts: Optional[InvokeOutputOptions] = None) -> Output[GetConnectorAnthropicModelResult]

func LookupConnectorAnthropicModel(ctx *Context, args *LookupConnectorAnthropicModelArgs, opts ...InvokeOption) (*LookupConnectorAnthropicModelResult, error)
func LookupConnectorAnthropicModelOutput(ctx *Context, args *LookupConnectorAnthropicModelOutputArgs, opts ...InvokeOption) LookupConnectorAnthropicModelResultOutput

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

public static class GetConnectorAnthropicModel 
{
    public static Task<GetConnectorAnthropicModelResult> InvokeAsync(GetConnectorAnthropicModelArgs args, InvokeOptions? opts = null)
    public static Output<GetConnectorAnthropicModelResult> Invoke(GetConnectorAnthropicModelInvokeArgs args, InvokeOptions? opts = null)
    public static Output<GetConnectorAnthropicModelResult> Invoke(GetConnectorAnthropicModelInvokeArgs args, InvokeOutputOptions opts)
}

public static CompletableFuture<GetConnectorAnthropicModelResult> getConnectorAnthropicModel(GetConnectorAnthropicModelArgs args, InvokeOptions options)
public static Output<GetConnectorAnthropicModelResult> getConnectorAnthropicModel(GetConnectorAnthropicModelArgs args, InvokeOptions options)
public static Output<GetConnectorAnthropicModelResult> getConnectorAnthropicModel(GetConnectorAnthropicModelArgs args, InvokeOutputOptions options)

fn::invoke:
  function: harness:platform/getConnectorAnthropicModel:getConnectorAnthropicModel
  arguments:
    # arguments dictionary

data "harness_platform_get_connector_anthropic_model" "name" {
    # arguments
}

The following arguments are supported:

Identifier string: Unique identifier of the resource.
Name string: Name of the resource.
OrgId string: Unique identifier of the organization.
ProjectId string: Unique identifier of the project.

Identifier string: Unique identifier of the resource.
Name string: Name of the resource.
OrgId string: Unique identifier of the organization.
ProjectId string: Unique identifier of the project.

identifier string: Unique identifier of the resource.
name string: Name of the resource.
org_id string: Unique identifier of the organization.
project_id string: Unique identifier of the project.

identifier String: Unique identifier of the resource.
name String: Name of the resource.
orgId String: Unique identifier of the organization.
projectId String: Unique identifier of the project.

identifier string: Unique identifier of the resource.
name string: Name of the resource.
orgId string: Unique identifier of the organization.
projectId string: Unique identifier of the project.

identifier str: Unique identifier of the resource.
name str: Name of the resource.
org_id str: Unique identifier of the organization.
project_id str: Unique identifier of the project.

identifier String: Unique identifier of the resource.
name String: Name of the resource.
orgId String: Unique identifier of the organization.
projectId String: Unique identifier of the project.

getConnectorAnthropicModel Result

The following output properties are available:

Auths List<GetConnectorAnthropicModelAuth>: The authentication configuration for the Anthropic connector.
DelegateSelectors List<string>: Tags to filter delegates for connection.
Description string: Description of the resource.
ExecuteOnDelegate bool: Execute on delegate or not.
Id string: The provider-assigned unique ID for this managed resource.
Identifier string: Unique identifier of the resource.
IgnoreTestConnection bool: Ignore test connection when creating or updating the connector.
Model string: The Anthropic model to use.
Tags List<string>: Tags to associate with the resource.
Url string: URL of the Anthropic API endpoint.
Name string: Name of the resource.
OrgId string: Unique identifier of the organization.
ProjectId string: Unique identifier of the project.

Auths []GetConnectorAnthropicModelAuth: The authentication configuration for the Anthropic connector.
DelegateSelectors []string: Tags to filter delegates for connection.
Description string: Description of the resource.
ExecuteOnDelegate bool: Execute on delegate or not.
Id string: The provider-assigned unique ID for this managed resource.
Identifier string: Unique identifier of the resource.
IgnoreTestConnection bool: Ignore test connection when creating or updating the connector.
Model string: The Anthropic model to use.
Tags []string: Tags to associate with the resource.
Url string: URL of the Anthropic API endpoint.
Name string: Name of the resource.
OrgId string: Unique identifier of the organization.
ProjectId string: Unique identifier of the project.

auths list(object): The authentication configuration for the Anthropic connector.
delegate_selectors list(string): Tags to filter delegates for connection.
description string: Description of the resource.
execute_on_delegate bool: Execute on delegate or not.
id string: The provider-assigned unique ID for this managed resource.
identifier string: Unique identifier of the resource.
ignore_test_connection bool: Ignore test connection when creating or updating the connector.
model string: The Anthropic model to use.
tags list(string): Tags to associate with the resource.
url string: URL of the Anthropic API endpoint.
name string: Name of the resource.
org_id string: Unique identifier of the organization.
project_id string: Unique identifier of the project.

auths List<GetConnectorAnthropicModelAuth>: The authentication configuration for the Anthropic connector.
delegateSelectors List<String>: Tags to filter delegates for connection.
description String: Description of the resource.
executeOnDelegate Boolean: Execute on delegate or not.
id String: The provider-assigned unique ID for this managed resource.
identifier String: Unique identifier of the resource.
ignoreTestConnection Boolean: Ignore test connection when creating or updating the connector.
model String: The Anthropic model to use.
tags List<String>: Tags to associate with the resource.
url String: URL of the Anthropic API endpoint.
name String: Name of the resource.
orgId String: Unique identifier of the organization.
projectId String: Unique identifier of the project.

auths GetConnectorAnthropicModelAuth[]: The authentication configuration for the Anthropic connector.
delegateSelectors string[]: Tags to filter delegates for connection.
description string: Description of the resource.
executeOnDelegate boolean: Execute on delegate or not.
id string: The provider-assigned unique ID for this managed resource.
identifier string: Unique identifier of the resource.
ignoreTestConnection boolean: Ignore test connection when creating or updating the connector.
model string: The Anthropic model to use.
tags string[]: Tags to associate with the resource.
url string: URL of the Anthropic API endpoint.
name string: Name of the resource.
orgId string: Unique identifier of the organization.
projectId string: Unique identifier of the project.

auths Sequence[GetConnectorAnthropicModelAuth]: The authentication configuration for the Anthropic connector.
delegate_selectors Sequence[str]: Tags to filter delegates for connection.
description str: Description of the resource.
execute_on_delegate bool: Execute on delegate or not.
id str: The provider-assigned unique ID for this managed resource.
identifier str: Unique identifier of the resource.
ignore_test_connection bool: Ignore test connection when creating or updating the connector.
model str: The Anthropic model to use.
tags Sequence[str]: Tags to associate with the resource.
url str: URL of the Anthropic API endpoint.
name str: Name of the resource.
org_id str: Unique identifier of the organization.
project_id str: Unique identifier of the project.

auths List<Property Map>: The authentication configuration for the Anthropic connector.
delegateSelectors List<String>: Tags to filter delegates for connection.
description String: Description of the resource.
executeOnDelegate Boolean: Execute on delegate or not.
id String: The provider-assigned unique ID for this managed resource.
identifier String: Unique identifier of the resource.
ignoreTestConnection Boolean: Ignore test connection when creating or updating the connector.
model String: The Anthropic model to use.
tags List<String>: Tags to associate with the resource.
url String: URL of the Anthropic API endpoint.
name String: Name of the resource.
orgId String: Unique identifier of the organization.
projectId String: Unique identifier of the project.

Supporting Types

GetConnectorAnthropicModelAuth

AuthType string: Authentication type for the Anthropic connector.
BedrockApiKeys List<GetConnectorAnthropicModelAuthBedrockApiKey>: Authenticate using an AWS Bedrock API key.
CloudProviders List<GetConnectorAnthropicModelAuthCloudProvider>: Authenticate using an existing cloud provider connector.
Tokens List<GetConnectorAnthropicModelAuthToken>: Authenticate using an Anthropic API token.
Vertices List<GetConnectorAnthropicModelAuthVertex>: Authenticate using Google Vertex AI credentials.

AuthType string: Authentication type for the Anthropic connector.
BedrockApiKeys []GetConnectorAnthropicModelAuthBedrockApiKey: Authenticate using an AWS Bedrock API key.
CloudProviders []GetConnectorAnthropicModelAuthCloudProvider: Authenticate using an existing cloud provider connector.
Tokens []GetConnectorAnthropicModelAuthToken: Authenticate using an Anthropic API token.
Vertices []GetConnectorAnthropicModelAuthVertex: Authenticate using Google Vertex AI credentials.

auth_type string: Authentication type for the Anthropic connector.
bedrock_api_keys list(object): Authenticate using an AWS Bedrock API key.
cloud_providers list(object): Authenticate using an existing cloud provider connector.
tokens list(object): Authenticate using an Anthropic API token.
vertices list(object): Authenticate using Google Vertex AI credentials.

authType String: Authentication type for the Anthropic connector.
bedrockApiKeys List<GetConnectorAnthropicModelAuthBedrockApiKey>: Authenticate using an AWS Bedrock API key.
cloudProviders List<GetConnectorAnthropicModelAuthCloudProvider>: Authenticate using an existing cloud provider connector.
tokens List<GetConnectorAnthropicModelAuthToken>: Authenticate using an Anthropic API token.
vertices List<GetConnectorAnthropicModelAuthVertex>: Authenticate using Google Vertex AI credentials.

authType string: Authentication type for the Anthropic connector.
bedrockApiKeys GetConnectorAnthropicModelAuthBedrockApiKey[]: Authenticate using an AWS Bedrock API key.
cloudProviders GetConnectorAnthropicModelAuthCloudProvider[]: Authenticate using an existing cloud provider connector.
tokens GetConnectorAnthropicModelAuthToken[]: Authenticate using an Anthropic API token.
vertices GetConnectorAnthropicModelAuthVertex[]: Authenticate using Google Vertex AI credentials.

auth_type str: Authentication type for the Anthropic connector.
bedrock_api_keys Sequence[GetConnectorAnthropicModelAuthBedrockApiKey]: Authenticate using an AWS Bedrock API key.
cloud_providers Sequence[GetConnectorAnthropicModelAuthCloudProvider]: Authenticate using an existing cloud provider connector.
tokens Sequence[GetConnectorAnthropicModelAuthToken]: Authenticate using an Anthropic API token.
vertices Sequence[GetConnectorAnthropicModelAuthVertex]: Authenticate using Google Vertex AI credentials.

authType String: Authentication type for the Anthropic connector.
bedrockApiKeys List<Property Map>: Authenticate using an AWS Bedrock API key.
cloudProviders List<Property Map>: Authenticate using an existing cloud provider connector.
tokens List<Property Map>: Authenticate using an Anthropic API token.
vertices List<Property Map>: Authenticate using Google Vertex AI credentials.

GetConnectorAnthropicModelAuthBedrockApiKey

ApiKeyRef string: Reference to a secret containing the Bedrock API key.
Region string: AWS region for the Bedrock endpoint.

ApiKeyRef string: Reference to a secret containing the Bedrock API key.
Region string: AWS region for the Bedrock endpoint.

api_key_ref string: Reference to a secret containing the Bedrock API key.
region string: AWS region for the Bedrock endpoint.

apiKeyRef String: Reference to a secret containing the Bedrock API key.
region String: AWS region for the Bedrock endpoint.

apiKeyRef string: Reference to a secret containing the Bedrock API key.
region string: AWS region for the Bedrock endpoint.

api_key_ref str: Reference to a secret containing the Bedrock API key.
region str: AWS region for the Bedrock endpoint.

apiKeyRef String: Reference to a secret containing the Bedrock API key.
region String: AWS region for the Bedrock endpoint.

GetConnectorAnthropicModelAuthCloudProvider

ConnectorRef string: Reference to an existing cloud provider connector.
Type string: Cloud provider type.

ConnectorRef string: Reference to an existing cloud provider connector.
Type string: Cloud provider type.

connector_ref string: Reference to an existing cloud provider connector.
type string: Cloud provider type.

connectorRef String: Reference to an existing cloud provider connector.
type String: Cloud provider type.

connectorRef string: Reference to an existing cloud provider connector.
type string: Cloud provider type.

connector_ref str: Reference to an existing cloud provider connector.
type str: Cloud provider type.

connectorRef String: Reference to an existing cloud provider connector.
type String: Cloud provider type.

GetConnectorAnthropicModelAuthToken

TokenRef string: Reference to a secret containing the Anthropic API token.

TokenRef string: Reference to a secret containing the Anthropic API token.

token_ref string: Reference to a secret containing the Anthropic API token.

tokenRef String: Reference to a secret containing the Anthropic API token.

tokenRef string: Reference to a secret containing the Anthropic API token.

token_ref str: Reference to a secret containing the Anthropic API token.

tokenRef String: Reference to a secret containing the Anthropic API token.

GetConnectorAnthropicModelAuthVertex

ProjectId string: GCP project ID.
Region string: GCP region for the Vertex AI endpoint.
ServiceAccountKeyRef string: Reference to a secret containing the GCP service account key.

ProjectId string: GCP project ID.
Region string: GCP region for the Vertex AI endpoint.
ServiceAccountKeyRef string: Reference to a secret containing the GCP service account key.

project_id string: GCP project ID.
region string: GCP region for the Vertex AI endpoint.
service_account_key_ref string: Reference to a secret containing the GCP service account key.

projectId String: GCP project ID.
region String: GCP region for the Vertex AI endpoint.
serviceAccountKeyRef String: Reference to a secret containing the GCP service account key.

projectId string: GCP project ID.
region string: GCP region for the Vertex AI endpoint.
serviceAccountKeyRef string: Reference to a secret containing the GCP service account key.

project_id str: GCP project ID.
region str: GCP region for the Vertex AI endpoint.
service_account_key_ref str: Reference to a secret containing the GCP service account key.

projectId String: GCP project ID.
region String: GCP region for the Vertex AI endpoint.
serviceAccountKeyRef String: Reference to a secret containing the GCP service account key.

Package Details

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

Viewing docs for Harness v0.17.6
published on Saturday, Oct 31, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-harness

harness.platform.getConnectorAnthropicModel

On this page

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Example Usage

Using getConnectorAnthropicModel

getConnectorAnthropicModel Result

Supporting Types

GetConnectorAnthropicModelAuth

GetConnectorAnthropicModelAuthBedrockApiKey

GetConnectorAnthropicModelAuthCloudProvider

GetConnectorAnthropicModelAuthToken

GetConnectorAnthropicModelAuthVertex

Package Details

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harness.platform.getConnectorAnthropicModel

On this page

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Example Usage

Using getConnectorAnthropicModel

getConnectorAnthropicModel Result

Supporting Types

GetConnectorAnthropicModelAuth

GetConnectorAnthropicModelAuthBedrockApiKey

GetConnectorAnthropicModelAuthCloudProvider

GetConnectorAnthropicModelAuthToken

GetConnectorAnthropicModelAuthVertex

Package Details

On this page

On this page

Try Pulumi Cloud free.Your team will thank you.

Try Pulumi Cloud free.
Your team will thank you.