konnect 2.7.1, May 1 25

konnect 2.7.1 published on Thursday, May 1, 2025 by kong

konnect.GatewayPluginAiSemanticPromptGuard

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konnect 2.7.1 published on Thursday, May 1, 2025 by kong

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package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.konnect.GatewayPluginAiSemanticPromptGuard;
import com.pulumi.konnect.GatewayPluginAiSemanticPromptGuardArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuthArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzureArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrockArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGeminiArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingfaceArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigRulesArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigSearchArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigVectordbArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigVectordbPgvectorArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConsumerArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardConsumerGroupArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardOrderingArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardOrderingAfterArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardOrderingBeforeArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardRouteArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiSemanticPromptGuardServiceArgs;
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) {
        var myGatewaypluginaisemanticpromptguard = new GatewayPluginAiSemanticPromptGuard("myGatewaypluginaisemanticpromptguard", GatewayPluginAiSemanticPromptGuardArgs.builder()
            .config(GatewayPluginAiSemanticPromptGuardConfigArgs.builder()
                .embeddings(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsArgs.builder()
                    .auth(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuthArgs.builder()
                        .allowOverride(false)
                        .awsAccessKeyId("...my_aws_access_key_id...")
                        .awsSecretAccessKey("...my_aws_secret_access_key...")
                        .azureClientId("...my_azure_client_id...")
                        .azureClientSecret("...my_azure_client_secret...")
                        .azureTenantId("...my_azure_tenant_id...")
                        .azureUseManagedIdentity(true)
                        .gcpServiceAccountJson("...my_gcp_service_account_json...")
                        .gcpUseServiceAccount(true)
                        .headerName("...my_header_name...")
                        .headerValue("...my_header_value...")
                        .paramLocation("query")
                        .paramName("...my_param_name...")
                        .paramValue("...my_param_value...")
                        .build())
                    .model(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelArgs.builder()
                        .name("...my_name...")
                        .options(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsArgs.builder()
                            .azure(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzureArgs.builder()
                                .apiVersion("...my_api_version...")
                                .deploymentId("...my_deployment_id...")
                                .instance("...my_instance...")
                                .build())
                            .bedrock(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrockArgs.builder()
                                .awsAssumeRoleArn("...my_aws_assume_role_arn...")
                                .awsRegion("...my_aws_region...")
                                .awsRoleSessionName("...my_aws_role_session_name...")
                                .awsStsEndpointUrl("...my_aws_sts_endpoint_url...")
                                .build())
                            .gemini(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGeminiArgs.builder()
                                .apiEndpoint("...my_api_endpoint...")
                                .locationId("...my_location_id...")
                                .projectId("...my_project_id...")
                                .build())
                            .huggingface(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingfaceArgs.builder()
                                .useCache(false)
                                .waitForModel(true)
                                .build())
                            .upstreamUrl("...my_upstream_url...")
                            .build())
                        .provider("mistral")
                        .build())
                    .build())
                .llm_format("gemini")
                .rules(GatewayPluginAiSemanticPromptGuardConfigRulesArgs.builder()
                    .allowPrompts("...")
                    .denyPrompts("...")
                    .matchAllConversationHistory(false)
                    .matchAllRoles(false)
                    .maxRequestBodySize(10)
                    .build())
                .search(GatewayPluginAiSemanticPromptGuardConfigSearchArgs.builder()
                    .threshold(9.87)
                    .build())
                .vectordb(GatewayPluginAiSemanticPromptGuardConfigVectordbArgs.builder()
                    .dimensions(4)
                    .distanceMetric("euclidean")
                    .pgvector(GatewayPluginAiSemanticPromptGuardConfigVectordbPgvectorArgs.builder()
                        .database("...my_database...")
                        .host("...my_host...")
                        .password("...my_password...")
                        .port(4)
                        .ssl(false)
                        .sslCert("...my_ssl_cert...")
                        .sslCertKey("...my_ssl_cert_key...")
                        .sslRequired(false)
                        .sslVerify(false)
                        .sslVersion("tlsv1_3")
                        .timeout(7.16)
                        .user("...my_user...")
                        .build())
                    .redis(GatewayPluginAiSemanticPromptGuardConfigVectordbRedisArgs.builder()
                        .clusterMaxRedirections(10)
                        .clusterNodes(GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNodeArgs.builder()
                            .ip("...my_ip...")
                            .port(4694)
                            .build())
                        .connectTimeout(927722545)
                        .connectionIsProxied(false)
                        .database(7)
                        .host("...my_host...")
                        .keepaliveBacklog(1501125607)
                        .keepalivePoolSize(114222283)
                        .password("...my_password...")
                        .port(24350)
                        .readTimeout(888592257)
                        .sendTimeout(228434190)
                        .sentinelMaster("...my_sentinel_master...")
                        .sentinelNodes(GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNodeArgs.builder()
                            .host("...my_host...")
                            .port(18183)
                            .build())
                        .sentinelPassword("...my_sentinel_password...")
                        .sentinelRole("any")
                        .sentinelUsername("...my_sentinel_username...")
                        .serverName("...my_server_name...")
                        .ssl(false)
                        .sslVerify(true)
                        .username("...my_username...")
                        .build())
                    .strategy("redis")
                    .threshold(3.9)
                    .build())
                .build())
            .consumer(GatewayPluginAiSemanticPromptGuardConsumerArgs.builder()
                .id("...my_id...")
                .build())
            .consumerGroup(GatewayPluginAiSemanticPromptGuardConsumerGroupArgs.builder()
                .id("...my_id...")
                .build())
            .controlPlaneId("9524ec7d-36d9-465d-a8c5-83a3c9390458")
            .createdAt(7)
            .enabled(true)
            .gatewayPluginAiSemanticPromptGuardId("...my_id...")
            .instanceName("...my_instance_name...")
            .ordering(GatewayPluginAiSemanticPromptGuardOrderingArgs.builder()
                .after(GatewayPluginAiSemanticPromptGuardOrderingAfterArgs.builder()
                    .access("...")
                    .build())
                .before(GatewayPluginAiSemanticPromptGuardOrderingBeforeArgs.builder()
                    .access("...")
                    .build())
                .build())
            .protocols("http")
            .route(GatewayPluginAiSemanticPromptGuardRouteArgs.builder()
                .id("...my_id...")
                .build())
            .service(GatewayPluginAiSemanticPromptGuardServiceArgs.builder()
                .id("...my_id...")
                .build())
            .tags("...")
            .updatedAt(2)
            .build());

    }
}

resources:
  myGatewaypluginaisemanticpromptguard:
    type: konnect:GatewayPluginAiSemanticPromptGuard
    properties:
      config:
        embeddings:
          auth:
            allowOverride: false
            awsAccessKeyId: '...my_aws_access_key_id...'
            awsSecretAccessKey: '...my_aws_secret_access_key...'
            azureClientId: '...my_azure_client_id...'
            azureClientSecret: '...my_azure_client_secret...'
            azureTenantId: '...my_azure_tenant_id...'
            azureUseManagedIdentity: true
            gcpServiceAccountJson: '...my_gcp_service_account_json...'
            gcpUseServiceAccount: true
            headerName: '...my_header_name...'
            headerValue: '...my_header_value...'
            paramLocation: query
            paramName: '...my_param_name...'
            paramValue: '...my_param_value...'
          model:
            name: '...my_name...'
            options:
              azure:
                apiVersion: '...my_api_version...'
                deploymentId: '...my_deployment_id...'
                instance: '...my_instance...'
              bedrock:
                awsAssumeRoleArn: '...my_aws_assume_role_arn...'
                awsRegion: '...my_aws_region...'
                awsRoleSessionName: '...my_aws_role_session_name...'
                awsStsEndpointUrl: '...my_aws_sts_endpoint_url...'
              gemini:
                apiEndpoint: '...my_api_endpoint...'
                locationId: '...my_location_id...'
                projectId: '...my_project_id...'
              huggingface:
                useCache: false
                waitForModel: true
              upstreamUrl: '...my_upstream_url...'
            provider: mistral
        llm_format: gemini
        rules:
          allowPrompts:
            - '...'
          denyPrompts:
            - '...'
          matchAllConversationHistory: false
          matchAllRoles: false
          maxRequestBodySize: 10
        search:
          threshold: 9.87
        vectordb:
          dimensions: 4
          distanceMetric: euclidean
          pgvector:
            database: '...my_database...'
            host: '...my_host...'
            password: '...my_password...'
            port: 4
            ssl: false
            sslCert: '...my_ssl_cert...'
            sslCertKey: '...my_ssl_cert_key...'
            sslRequired: false
            sslVerify: false
            sslVersion: tlsv1_3
            timeout: 7.16
            user: '...my_user...'
          redis:
            clusterMaxRedirections: 10
            clusterNodes:
              - ip: '...my_ip...'
                port: 4694
            connectTimeout: 9.27722545e+08
            connectionIsProxied: false
            database: 7
            host: '...my_host...'
            keepaliveBacklog: 1.501125607e+09
            keepalivePoolSize: 1.14222283e+08
            password: '...my_password...'
            port: 24350
            readTimeout: 8.88592257e+08
            sendTimeout: 2.2843419e+08
            sentinelMaster: '...my_sentinel_master...'
            sentinelNodes:
              - host: '...my_host...'
                port: 18183
            sentinelPassword: '...my_sentinel_password...'
            sentinelRole: any
            sentinelUsername: '...my_sentinel_username...'
            serverName: '...my_server_name...'
            ssl: false
            sslVerify: true
            username: '...my_username...'
          strategy: redis
          threshold: 3.9
      consumer:
        id: '...my_id...'
      consumerGroup:
        id: '...my_id...'
      controlPlaneId: 9524ec7d-36d9-465d-a8c5-83a3c9390458
      createdAt: 7
      enabled: true
      gatewayPluginAiSemanticPromptGuardId: '...my_id...'
      instanceName: '...my_instance_name...'
      ordering:
        after:
          access:
            - '...'
        before:
          access:
            - '...'
      protocols:
        - http
      route:
        id: '...my_id...'
      service:
        id: '...my_id...'
      tags:
        - '...'
      updatedAt: 2

Create GatewayPluginAiSemanticPromptGuard Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new GatewayPluginAiSemanticPromptGuard(name: string, args: GatewayPluginAiSemanticPromptGuardArgs, opts?: CustomResourceOptions);

@overload
def GatewayPluginAiSemanticPromptGuard(resource_name: str,
                                       args: GatewayPluginAiSemanticPromptGuardArgs,
                                       opts: Optional[ResourceOptions] = None)

@overload
def GatewayPluginAiSemanticPromptGuard(resource_name: str,
                                       opts: Optional[ResourceOptions] = None,
                                       control_plane_id: Optional[str] = None,
                                       gateway_plugin_ai_semantic_prompt_guard_id: Optional[str] = None,
                                       consumer_group: Optional[GatewayPluginAiSemanticPromptGuardConsumerGroupArgs] = None,
                                       consumer: Optional[GatewayPluginAiSemanticPromptGuardConsumerArgs] = None,
                                       created_at: Optional[float] = None,
                                       enabled: Optional[bool] = None,
                                       config: Optional[GatewayPluginAiSemanticPromptGuardConfigArgs] = None,
                                       instance_name: Optional[str] = None,
                                       ordering: Optional[GatewayPluginAiSemanticPromptGuardOrderingArgs] = None,
                                       protocols: Optional[Sequence[str]] = None,
                                       route: Optional[GatewayPluginAiSemanticPromptGuardRouteArgs] = None,
                                       service: Optional[GatewayPluginAiSemanticPromptGuardServiceArgs] = None,
                                       tags: Optional[Sequence[str]] = None,
                                       updated_at: Optional[float] = None)

func NewGatewayPluginAiSemanticPromptGuard(ctx *Context, name string, args GatewayPluginAiSemanticPromptGuardArgs, opts ...ResourceOption) (*GatewayPluginAiSemanticPromptGuard, error)

public GatewayPluginAiSemanticPromptGuard(string name, GatewayPluginAiSemanticPromptGuardArgs args, CustomResourceOptions? opts = null)

public GatewayPluginAiSemanticPromptGuard(String name, GatewayPluginAiSemanticPromptGuardArgs args)
public GatewayPluginAiSemanticPromptGuard(String name, GatewayPluginAiSemanticPromptGuardArgs args, CustomResourceOptions options)

type: konnect:GatewayPluginAiSemanticPromptGuard
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name string: The unique name of the resource.
args GatewayPluginAiSemanticPromptGuardArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args GatewayPluginAiSemanticPromptGuardArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args GatewayPluginAiSemanticPromptGuardArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args GatewayPluginAiSemanticPromptGuardArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args GatewayPluginAiSemanticPromptGuardArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

Constructor example

The following reference example uses placeholder values for all input properties.

var gatewayPluginAiSemanticPromptGuardResource = new Konnect.GatewayPluginAiSemanticPromptGuard("gatewayPluginAiSemanticPromptGuardResource", new()
{
    ControlPlaneId = "string",
    GatewayPluginAiSemanticPromptGuardId = "string",
    ConsumerGroup = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConsumerGroupArgs
    {
        Id = "string",
    },
    Consumer = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConsumerArgs
    {
        Id = "string",
    },
    CreatedAt = 0,
    Enabled = false,
    Config = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigArgs
    {
        Embeddings = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsArgs
        {
            Auth = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuthArgs
            {
                AllowOverride = false,
                AwsAccessKeyId = "string",
                AwsSecretAccessKey = "string",
                AzureClientId = "string",
                AzureClientSecret = "string",
                AzureTenantId = "string",
                AzureUseManagedIdentity = false,
                GcpServiceAccountJson = "string",
                GcpUseServiceAccount = false,
                HeaderName = "string",
                HeaderValue = "string",
                ParamLocation = "string",
                ParamName = "string",
                ParamValue = "string",
            },
            Model = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelArgs
            {
                Name = "string",
                Options = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsArgs
                {
                    Azure = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzureArgs
                    {
                        ApiVersion = "string",
                        DeploymentId = "string",
                        Instance = "string",
                    },
                    Bedrock = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrockArgs
                    {
                        AwsAssumeRoleArn = "string",
                        AwsRegion = "string",
                        AwsRoleSessionName = "string",
                        AwsStsEndpointUrl = "string",
                    },
                    Gemini = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGeminiArgs
                    {
                        ApiEndpoint = "string",
                        LocationId = "string",
                        ProjectId = "string",
                    },
                    Huggingface = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingfaceArgs
                    {
                        UseCache = false,
                        WaitForModel = false,
                    },
                    UpstreamUrl = "string",
                },
                Provider = "string",
            },
        },
        LlmFormat = "string",
        Rules = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigRulesArgs
        {
            AllowPrompts = new[]
            {
                "string",
            },
            DenyPrompts = new[]
            {
                "string",
            },
            MatchAllConversationHistory = false,
            MatchAllRoles = false,
            MaxRequestBodySize = 0,
        },
        Search = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigSearchArgs
        {
            Threshold = 0,
        },
        Vectordb = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigVectordbArgs
        {
            Dimensions = 0,
            DistanceMetric = "string",
            Pgvector = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigVectordbPgvectorArgs
            {
                Database = "string",
                Host = "string",
                Password = "string",
                Port = 0,
                Ssl = false,
                SslCert = "string",
                SslCertKey = "string",
                SslRequired = false,
                SslVerify = false,
                SslVersion = "string",
                Timeout = 0,
                User = "string",
            },
            Redis = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisArgs
            {
                ClusterMaxRedirections = 0,
                ClusterNodes = new[]
                {
                    new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNodeArgs
                    {
                        Ip = "string",
                        Port = 0,
                    },
                },
                ConnectTimeout = 0,
                ConnectionIsProxied = false,
                Database = 0,
                Host = "string",
                KeepaliveBacklog = 0,
                KeepalivePoolSize = 0,
                Password = "string",
                Port = 0,
                ReadTimeout = 0,
                SendTimeout = 0,
                SentinelMaster = "string",
                SentinelNodes = new[]
                {
                    new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNodeArgs
                    {
                        Host = "string",
                        Port = 0,
                    },
                },
                SentinelPassword = "string",
                SentinelRole = "string",
                SentinelUsername = "string",
                ServerName = "string",
                Ssl = false,
                SslVerify = false,
                Username = "string",
            },
            Strategy = "string",
            Threshold = 0,
        },
    },
    InstanceName = "string",
    Ordering = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardOrderingArgs
    {
        After = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardOrderingAfterArgs
        {
            Accesses = new[]
            {
                "string",
            },
        },
        Before = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardOrderingBeforeArgs
        {
            Accesses = new[]
            {
                "string",
            },
        },
    },
    Protocols = new[]
    {
        "string",
    },
    Route = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardRouteArgs
    {
        Id = "string",
    },
    Service = new Konnect.Inputs.GatewayPluginAiSemanticPromptGuardServiceArgs
    {
        Id = "string",
    },
    Tags = new[]
    {
        "string",
    },
    UpdatedAt = 0,
});

example, err := konnect.NewGatewayPluginAiSemanticPromptGuard(ctx, "gatewayPluginAiSemanticPromptGuardResource", &konnect.GatewayPluginAiSemanticPromptGuardArgs{
	ControlPlaneId:                       pulumi.String("string"),
	GatewayPluginAiSemanticPromptGuardId: pulumi.String("string"),
	ConsumerGroup: &konnect.GatewayPluginAiSemanticPromptGuardConsumerGroupArgs{
		Id: pulumi.String("string"),
	},
	Consumer: &konnect.GatewayPluginAiSemanticPromptGuardConsumerArgs{
		Id: pulumi.String("string"),
	},
	CreatedAt: pulumi.Float64(0),
	Enabled:   pulumi.Bool(false),
	Config: &konnect.GatewayPluginAiSemanticPromptGuardConfigArgs{
		Embeddings: &konnect.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsArgs{
			Auth: &konnect.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuthArgs{
				AllowOverride:           pulumi.Bool(false),
				AwsAccessKeyId:          pulumi.String("string"),
				AwsSecretAccessKey:      pulumi.String("string"),
				AzureClientId:           pulumi.String("string"),
				AzureClientSecret:       pulumi.String("string"),
				AzureTenantId:           pulumi.String("string"),
				AzureUseManagedIdentity: pulumi.Bool(false),
				GcpServiceAccountJson:   pulumi.String("string"),
				GcpUseServiceAccount:    pulumi.Bool(false),
				HeaderName:              pulumi.String("string"),
				HeaderValue:             pulumi.String("string"),
				ParamLocation:           pulumi.String("string"),
				ParamName:               pulumi.String("string"),
				ParamValue:              pulumi.String("string"),
			},
			Model: &konnect.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelArgs{
				Name: pulumi.String("string"),
				Options: &konnect.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsArgs{
					Azure: &konnect.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzureArgs{
						ApiVersion:   pulumi.String("string"),
						DeploymentId: pulumi.String("string"),
						Instance:     pulumi.String("string"),
					},
					Bedrock: &konnect.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrockArgs{
						AwsAssumeRoleArn:   pulumi.String("string"),
						AwsRegion:          pulumi.String("string"),
						AwsRoleSessionName: pulumi.String("string"),
						AwsStsEndpointUrl:  pulumi.String("string"),
					},
					Gemini: &konnect.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGeminiArgs{
						ApiEndpoint: pulumi.String("string"),
						LocationId:  pulumi.String("string"),
						ProjectId:   pulumi.String("string"),
					},
					Huggingface: &konnect.GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingfaceArgs{
						UseCache:     pulumi.Bool(false),
						WaitForModel: pulumi.Bool(false),
					},
					UpstreamUrl: pulumi.String("string"),
				},
				Provider: pulumi.String("string"),
			},
		},
		LlmFormat: pulumi.String("string"),
		Rules: &konnect.GatewayPluginAiSemanticPromptGuardConfigRulesArgs{
			AllowPrompts: pulumi.StringArray{
				pulumi.String("string"),
			},
			DenyPrompts: pulumi.StringArray{
				pulumi.String("string"),
			},
			MatchAllConversationHistory: pulumi.Bool(false),
			MatchAllRoles:               pulumi.Bool(false),
			MaxRequestBodySize:          pulumi.Float64(0),
		},
		Search: &konnect.GatewayPluginAiSemanticPromptGuardConfigSearchArgs{
			Threshold: pulumi.Float64(0),
		},
		Vectordb: &konnect.GatewayPluginAiSemanticPromptGuardConfigVectordbArgs{
			Dimensions:     pulumi.Float64(0),
			DistanceMetric: pulumi.String("string"),
			Pgvector: &konnect.GatewayPluginAiSemanticPromptGuardConfigVectordbPgvectorArgs{
				Database:    pulumi.String("string"),
				Host:        pulumi.String("string"),
				Password:    pulumi.String("string"),
				Port:        pulumi.Float64(0),
				Ssl:         pulumi.Bool(false),
				SslCert:     pulumi.String("string"),
				SslCertKey:  pulumi.String("string"),
				SslRequired: pulumi.Bool(false),
				SslVerify:   pulumi.Bool(false),
				SslVersion:  pulumi.String("string"),
				Timeout:     pulumi.Float64(0),
				User:        pulumi.String("string"),
			},
			Redis: &konnect.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisArgs{
				ClusterMaxRedirections: pulumi.Float64(0),
				ClusterNodes: konnect.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNodeArray{
					&konnect.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNodeArgs{
						Ip:   pulumi.String("string"),
						Port: pulumi.Float64(0),
					},
				},
				ConnectTimeout:      pulumi.Float64(0),
				ConnectionIsProxied: pulumi.Bool(false),
				Database:            pulumi.Float64(0),
				Host:                pulumi.String("string"),
				KeepaliveBacklog:    pulumi.Float64(0),
				KeepalivePoolSize:   pulumi.Float64(0),
				Password:            pulumi.String("string"),
				Port:                pulumi.Float64(0),
				ReadTimeout:         pulumi.Float64(0),
				SendTimeout:         pulumi.Float64(0),
				SentinelMaster:      pulumi.String("string"),
				SentinelNodes: konnect.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNodeArray{
					&konnect.GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNodeArgs{
						Host: pulumi.String("string"),
						Port: pulumi.Float64(0),
					},
				},
				SentinelPassword: pulumi.String("string"),
				SentinelRole:     pulumi.String("string"),
				SentinelUsername: pulumi.String("string"),
				ServerName:       pulumi.String("string"),
				Ssl:              pulumi.Bool(false),
				SslVerify:        pulumi.Bool(false),
				Username:         pulumi.String("string"),
			},
			Strategy:  pulumi.String("string"),
			Threshold: pulumi.Float64(0),
		},
	},
	InstanceName: pulumi.String("string"),
	Ordering: &konnect.GatewayPluginAiSemanticPromptGuardOrderingArgs{
		After: &konnect.GatewayPluginAiSemanticPromptGuardOrderingAfterArgs{
			Accesses: pulumi.StringArray{
				pulumi.String("string"),
			},
		},
		Before: &konnect.GatewayPluginAiSemanticPromptGuardOrderingBeforeArgs{
			Accesses: pulumi.StringArray{
				pulumi.String("string"),
			},
		},
	},
	Protocols: pulumi.StringArray{
		pulumi.String("string"),
	},
	Route: &konnect.GatewayPluginAiSemanticPromptGuardRouteArgs{
		Id: pulumi.String("string"),
	},
	Service: &konnect.GatewayPluginAiSemanticPromptGuardServiceArgs{
		Id: pulumi.String("string"),
	},
	Tags: pulumi.StringArray{
		pulumi.String("string"),
	},
	UpdatedAt: pulumi.Float64(0),
})

var gatewayPluginAiSemanticPromptGuardResource = new GatewayPluginAiSemanticPromptGuard("gatewayPluginAiSemanticPromptGuardResource", GatewayPluginAiSemanticPromptGuardArgs.builder()
    .controlPlaneId("string")
    .gatewayPluginAiSemanticPromptGuardId("string")
    .consumerGroup(GatewayPluginAiSemanticPromptGuardConsumerGroupArgs.builder()
        .id("string")
        .build())
    .consumer(GatewayPluginAiSemanticPromptGuardConsumerArgs.builder()
        .id("string")
        .build())
    .createdAt(0)
    .enabled(false)
    .config(GatewayPluginAiSemanticPromptGuardConfigArgs.builder()
        .embeddings(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsArgs.builder()
            .auth(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuthArgs.builder()
                .allowOverride(false)
                .awsAccessKeyId("string")
                .awsSecretAccessKey("string")
                .azureClientId("string")
                .azureClientSecret("string")
                .azureTenantId("string")
                .azureUseManagedIdentity(false)
                .gcpServiceAccountJson("string")
                .gcpUseServiceAccount(false)
                .headerName("string")
                .headerValue("string")
                .paramLocation("string")
                .paramName("string")
                .paramValue("string")
                .build())
            .model(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelArgs.builder()
                .name("string")
                .options(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsArgs.builder()
                    .azure(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzureArgs.builder()
                        .apiVersion("string")
                        .deploymentId("string")
                        .instance("string")
                        .build())
                    .bedrock(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrockArgs.builder()
                        .awsAssumeRoleArn("string")
                        .awsRegion("string")
                        .awsRoleSessionName("string")
                        .awsStsEndpointUrl("string")
                        .build())
                    .gemini(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGeminiArgs.builder()
                        .apiEndpoint("string")
                        .locationId("string")
                        .projectId("string")
                        .build())
                    .huggingface(GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingfaceArgs.builder()
                        .useCache(false)
                        .waitForModel(false)
                        .build())
                    .upstreamUrl("string")
                    .build())
                .provider("string")
                .build())
            .build())
        .llmFormat("string")
        .rules(GatewayPluginAiSemanticPromptGuardConfigRulesArgs.builder()
            .allowPrompts("string")
            .denyPrompts("string")
            .matchAllConversationHistory(false)
            .matchAllRoles(false)
            .maxRequestBodySize(0)
            .build())
        .search(GatewayPluginAiSemanticPromptGuardConfigSearchArgs.builder()
            .threshold(0)
            .build())
        .vectordb(GatewayPluginAiSemanticPromptGuardConfigVectordbArgs.builder()
            .dimensions(0)
            .distanceMetric("string")
            .pgvector(GatewayPluginAiSemanticPromptGuardConfigVectordbPgvectorArgs.builder()
                .database("string")
                .host("string")
                .password("string")
                .port(0)
                .ssl(false)
                .sslCert("string")
                .sslCertKey("string")
                .sslRequired(false)
                .sslVerify(false)
                .sslVersion("string")
                .timeout(0)
                .user("string")
                .build())
            .redis(GatewayPluginAiSemanticPromptGuardConfigVectordbRedisArgs.builder()
                .clusterMaxRedirections(0)
                .clusterNodes(GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNodeArgs.builder()
                    .ip("string")
                    .port(0)
                    .build())
                .connectTimeout(0)
                .connectionIsProxied(false)
                .database(0)
                .host("string")
                .keepaliveBacklog(0)
                .keepalivePoolSize(0)
                .password("string")
                .port(0)
                .readTimeout(0)
                .sendTimeout(0)
                .sentinelMaster("string")
                .sentinelNodes(GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNodeArgs.builder()
                    .host("string")
                    .port(0)
                    .build())
                .sentinelPassword("string")
                .sentinelRole("string")
                .sentinelUsername("string")
                .serverName("string")
                .ssl(false)
                .sslVerify(false)
                .username("string")
                .build())
            .strategy("string")
            .threshold(0)
            .build())
        .build())
    .instanceName("string")
    .ordering(GatewayPluginAiSemanticPromptGuardOrderingArgs.builder()
        .after(GatewayPluginAiSemanticPromptGuardOrderingAfterArgs.builder()
            .accesses("string")
            .build())
        .before(GatewayPluginAiSemanticPromptGuardOrderingBeforeArgs.builder()
            .accesses("string")
            .build())
        .build())
    .protocols("string")
    .route(GatewayPluginAiSemanticPromptGuardRouteArgs.builder()
        .id("string")
        .build())
    .service(GatewayPluginAiSemanticPromptGuardServiceArgs.builder()
        .id("string")
        .build())
    .tags("string")
    .updatedAt(0)
    .build());

gateway_plugin_ai_semantic_prompt_guard_resource = konnect.GatewayPluginAiSemanticPromptGuard("gatewayPluginAiSemanticPromptGuardResource",
    control_plane_id="string",
    gateway_plugin_ai_semantic_prompt_guard_id="string",
    consumer_group={
        "id": "string",
    },
    consumer={
        "id": "string",
    },
    created_at=0,
    enabled=False,
    config={
        "embeddings": {
            "auth": {
                "allow_override": False,
                "aws_access_key_id": "string",
                "aws_secret_access_key": "string",
                "azure_client_id": "string",
                "azure_client_secret": "string",
                "azure_tenant_id": "string",
                "azure_use_managed_identity": False,
                "gcp_service_account_json": "string",
                "gcp_use_service_account": False,
                "header_name": "string",
                "header_value": "string",
                "param_location": "string",
                "param_name": "string",
                "param_value": "string",
            },
            "model": {
                "name": "string",
                "options": {
                    "azure": {
                        "api_version": "string",
                        "deployment_id": "string",
                        "instance": "string",
                    },
                    "bedrock": {
                        "aws_assume_role_arn": "string",
                        "aws_region": "string",
                        "aws_role_session_name": "string",
                        "aws_sts_endpoint_url": "string",
                    },
                    "gemini": {
                        "api_endpoint": "string",
                        "location_id": "string",
                        "project_id": "string",
                    },
                    "huggingface": {
                        "use_cache": False,
                        "wait_for_model": False,
                    },
                    "upstream_url": "string",
                },
                "provider": "string",
            },
        },
        "llm_format": "string",
        "rules": {
            "allow_prompts": ["string"],
            "deny_prompts": ["string"],
            "match_all_conversation_history": False,
            "match_all_roles": False,
            "max_request_body_size": 0,
        },
        "search": {
            "threshold": 0,
        },
        "vectordb": {
            "dimensions": 0,
            "distance_metric": "string",
            "pgvector": {
                "database": "string",
                "host": "string",
                "password": "string",
                "port": 0,
                "ssl": False,
                "ssl_cert": "string",
                "ssl_cert_key": "string",
                "ssl_required": False,
                "ssl_verify": False,
                "ssl_version": "string",
                "timeout": 0,
                "user": "string",
            },
            "redis": {
                "cluster_max_redirections": 0,
                "cluster_nodes": [{
                    "ip": "string",
                    "port": 0,
                }],
                "connect_timeout": 0,
                "connection_is_proxied": False,
                "database": 0,
                "host": "string",
                "keepalive_backlog": 0,
                "keepalive_pool_size": 0,
                "password": "string",
                "port": 0,
                "read_timeout": 0,
                "send_timeout": 0,
                "sentinel_master": "string",
                "sentinel_nodes": [{
                    "host": "string",
                    "port": 0,
                }],
                "sentinel_password": "string",
                "sentinel_role": "string",
                "sentinel_username": "string",
                "server_name": "string",
                "ssl": False,
                "ssl_verify": False,
                "username": "string",
            },
            "strategy": "string",
            "threshold": 0,
        },
    },
    instance_name="string",
    ordering={
        "after": {
            "accesses": ["string"],
        },
        "before": {
            "accesses": ["string"],
        },
    },
    protocols=["string"],
    route={
        "id": "string",
    },
    service={
        "id": "string",
    },
    tags=["string"],
    updated_at=0)

const gatewayPluginAiSemanticPromptGuardResource = new konnect.GatewayPluginAiSemanticPromptGuard("gatewayPluginAiSemanticPromptGuardResource", {
    controlPlaneId: "string",
    gatewayPluginAiSemanticPromptGuardId: "string",
    consumerGroup: {
        id: "string",
    },
    consumer: {
        id: "string",
    },
    createdAt: 0,
    enabled: false,
    config: {
        embeddings: {
            auth: {
                allowOverride: false,
                awsAccessKeyId: "string",
                awsSecretAccessKey: "string",
                azureClientId: "string",
                azureClientSecret: "string",
                azureTenantId: "string",
                azureUseManagedIdentity: false,
                gcpServiceAccountJson: "string",
                gcpUseServiceAccount: false,
                headerName: "string",
                headerValue: "string",
                paramLocation: "string",
                paramName: "string",
                paramValue: "string",
            },
            model: {
                name: "string",
                options: {
                    azure: {
                        apiVersion: "string",
                        deploymentId: "string",
                        instance: "string",
                    },
                    bedrock: {
                        awsAssumeRoleArn: "string",
                        awsRegion: "string",
                        awsRoleSessionName: "string",
                        awsStsEndpointUrl: "string",
                    },
                    gemini: {
                        apiEndpoint: "string",
                        locationId: "string",
                        projectId: "string",
                    },
                    huggingface: {
                        useCache: false,
                        waitForModel: false,
                    },
                    upstreamUrl: "string",
                },
                provider: "string",
            },
        },
        llmFormat: "string",
        rules: {
            allowPrompts: ["string"],
            denyPrompts: ["string"],
            matchAllConversationHistory: false,
            matchAllRoles: false,
            maxRequestBodySize: 0,
        },
        search: {
            threshold: 0,
        },
        vectordb: {
            dimensions: 0,
            distanceMetric: "string",
            pgvector: {
                database: "string",
                host: "string",
                password: "string",
                port: 0,
                ssl: false,
                sslCert: "string",
                sslCertKey: "string",
                sslRequired: false,
                sslVerify: false,
                sslVersion: "string",
                timeout: 0,
                user: "string",
            },
            redis: {
                clusterMaxRedirections: 0,
                clusterNodes: [{
                    ip: "string",
                    port: 0,
                }],
                connectTimeout: 0,
                connectionIsProxied: false,
                database: 0,
                host: "string",
                keepaliveBacklog: 0,
                keepalivePoolSize: 0,
                password: "string",
                port: 0,
                readTimeout: 0,
                sendTimeout: 0,
                sentinelMaster: "string",
                sentinelNodes: [{
                    host: "string",
                    port: 0,
                }],
                sentinelPassword: "string",
                sentinelRole: "string",
                sentinelUsername: "string",
                serverName: "string",
                ssl: false,
                sslVerify: false,
                username: "string",
            },
            strategy: "string",
            threshold: 0,
        },
    },
    instanceName: "string",
    ordering: {
        after: {
            accesses: ["string"],
        },
        before: {
            accesses: ["string"],
        },
    },
    protocols: ["string"],
    route: {
        id: "string",
    },
    service: {
        id: "string",
    },
    tags: ["string"],
    updatedAt: 0,
});

type: konnect:GatewayPluginAiSemanticPromptGuard
properties:
    config:
        embeddings:
            auth:
                allowOverride: false
                awsAccessKeyId: string
                awsSecretAccessKey: string
                azureClientId: string
                azureClientSecret: string
                azureTenantId: string
                azureUseManagedIdentity: false
                gcpServiceAccountJson: string
                gcpUseServiceAccount: false
                headerName: string
                headerValue: string
                paramLocation: string
                paramName: string
                paramValue: string
            model:
                name: string
                options:
                    azure:
                        apiVersion: string
                        deploymentId: string
                        instance: string
                    bedrock:
                        awsAssumeRoleArn: string
                        awsRegion: string
                        awsRoleSessionName: string
                        awsStsEndpointUrl: string
                    gemini:
                        apiEndpoint: string
                        locationId: string
                        projectId: string
                    huggingface:
                        useCache: false
                        waitForModel: false
                    upstreamUrl: string
                provider: string
        llmFormat: string
        rules:
            allowPrompts:
                - string
            denyPrompts:
                - string
            matchAllConversationHistory: false
            matchAllRoles: false
            maxRequestBodySize: 0
        search:
            threshold: 0
        vectordb:
            dimensions: 0
            distanceMetric: string
            pgvector:
                database: string
                host: string
                password: string
                port: 0
                ssl: false
                sslCert: string
                sslCertKey: string
                sslRequired: false
                sslVerify: false
                sslVersion: string
                timeout: 0
                user: string
            redis:
                clusterMaxRedirections: 0
                clusterNodes:
                    - ip: string
                      port: 0
                connectTimeout: 0
                connectionIsProxied: false
                database: 0
                host: string
                keepaliveBacklog: 0
                keepalivePoolSize: 0
                password: string
                port: 0
                readTimeout: 0
                sendTimeout: 0
                sentinelMaster: string
                sentinelNodes:
                    - host: string
                      port: 0
                sentinelPassword: string
                sentinelRole: string
                sentinelUsername: string
                serverName: string
                ssl: false
                sslVerify: false
                username: string
            strategy: string
            threshold: 0
    consumer:
        id: string
    consumerGroup:
        id: string
    controlPlaneId: string
    createdAt: 0
    enabled: false
    gatewayPluginAiSemanticPromptGuardId: string
    instanceName: string
    ordering:
        after:
            accesses:
                - string
        before:
            accesses:
                - string
    protocols:
        - string
    route:
        id: string
    service:
        id: string
    tags:
        - string
    updatedAt: 0

GatewayPluginAiSemanticPromptGuard Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The GatewayPluginAiSemanticPromptGuard resource accepts the following input properties:

ControlPlaneId string: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
Config GatewayPluginAiSemanticPromptGuardConfig
Consumer GatewayPluginAiSemanticPromptGuardConsumer: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
ConsumerGroup GatewayPluginAiSemanticPromptGuardConsumerGroup: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
CreatedAt double: Unix epoch when the resource was created.
Enabled bool: Whether the plugin is applied.
GatewayPluginAiSemanticPromptGuardId string: The ID of this resource.
InstanceName string
Ordering GatewayPluginAiSemanticPromptGuardOrdering
Protocols List<string>: A set of strings representing HTTP protocols.
Route GatewayPluginAiSemanticPromptGuardRoute: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
Service GatewayPluginAiSemanticPromptGuardService: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
Tags List<string>: An optional set of strings associated with the Plugin for grouping and filtering.
UpdatedAt double: Unix epoch when the resource was last updated.

ControlPlaneId string: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
Config GatewayPluginAiSemanticPromptGuardConfigArgs
Consumer GatewayPluginAiSemanticPromptGuardConsumerArgs: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
ConsumerGroup GatewayPluginAiSemanticPromptGuardConsumerGroupArgs: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
CreatedAt float64: Unix epoch when the resource was created.
Enabled bool: Whether the plugin is applied.
GatewayPluginAiSemanticPromptGuardId string: The ID of this resource.
InstanceName string
Ordering GatewayPluginAiSemanticPromptGuardOrderingArgs
Protocols []string: A set of strings representing HTTP protocols.
Route GatewayPluginAiSemanticPromptGuardRouteArgs: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
Service GatewayPluginAiSemanticPromptGuardServiceArgs: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
Tags []string: An optional set of strings associated with the Plugin for grouping and filtering.
UpdatedAt float64: Unix epoch when the resource was last updated.

controlPlaneId String: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
config GatewayPluginAiSemanticPromptGuardConfig
consumer GatewayPluginAiSemanticPromptGuardConsumer: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
consumerGroup GatewayPluginAiSemanticPromptGuardConsumerGroup: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
createdAt Double: Unix epoch when the resource was created.
enabled Boolean: Whether the plugin is applied.
gatewayPluginAiSemanticPromptGuardId String: The ID of this resource.
instanceName String
ordering GatewayPluginAiSemanticPromptGuardOrdering
protocols List<String>: A set of strings representing HTTP protocols.
route GatewayPluginAiSemanticPromptGuardRoute: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
service GatewayPluginAiSemanticPromptGuardService: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
tags List<String>: An optional set of strings associated with the Plugin for grouping and filtering.
updatedAt Double: Unix epoch when the resource was last updated.

controlPlaneId string: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
config GatewayPluginAiSemanticPromptGuardConfig
consumer GatewayPluginAiSemanticPromptGuardConsumer: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
consumerGroup GatewayPluginAiSemanticPromptGuardConsumerGroup: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
createdAt number: Unix epoch when the resource was created.
enabled boolean: Whether the plugin is applied.
gatewayPluginAiSemanticPromptGuardId string: The ID of this resource.
instanceName string
ordering GatewayPluginAiSemanticPromptGuardOrdering
protocols string[]: A set of strings representing HTTP protocols.
route GatewayPluginAiSemanticPromptGuardRoute: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
service GatewayPluginAiSemanticPromptGuardService: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
tags string[]: An optional set of strings associated with the Plugin for grouping and filtering.
updatedAt number: Unix epoch when the resource was last updated.

control_plane_id str: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
config GatewayPluginAiSemanticPromptGuardConfigArgs
consumer GatewayPluginAiSemanticPromptGuardConsumerArgs: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
consumer_group GatewayPluginAiSemanticPromptGuardConsumerGroupArgs: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
created_at float: Unix epoch when the resource was created.
enabled bool: Whether the plugin is applied.
gateway_plugin_ai_semantic_prompt_guard_id str: The ID of this resource.
instance_name str
ordering GatewayPluginAiSemanticPromptGuardOrderingArgs
protocols Sequence[str]: A set of strings representing HTTP protocols.
route GatewayPluginAiSemanticPromptGuardRouteArgs: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
service GatewayPluginAiSemanticPromptGuardServiceArgs: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
tags Sequence[str]: An optional set of strings associated with the Plugin for grouping and filtering.
updated_at float: Unix epoch when the resource was last updated.

controlPlaneId String: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
config Property Map
consumer Property Map: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
consumerGroup Property Map: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
createdAt Number: Unix epoch when the resource was created.
enabled Boolean: Whether the plugin is applied.
gatewayPluginAiSemanticPromptGuardId String: The ID of this resource.
instanceName String
ordering Property Map
protocols List<String>: A set of strings representing HTTP protocols.
route Property Map: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
service Property Map: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
tags List<String>: An optional set of strings associated with the Plugin for grouping and filtering.
updatedAt Number: Unix epoch when the resource was last updated.

Outputs

All input properties are implicitly available as output properties. Additionally, the GatewayPluginAiSemanticPromptGuard resource produces the following output properties:

Id string: The provider-assigned unique ID for this managed resource.

Id string: The provider-assigned unique ID for this managed resource.

id String: The provider-assigned unique ID for this managed resource.

id string: The provider-assigned unique ID for this managed resource.

id str: The provider-assigned unique ID for this managed resource.

id String: The provider-assigned unique ID for this managed resource.

Look up Existing GatewayPluginAiSemanticPromptGuard Resource

Get an existing GatewayPluginAiSemanticPromptGuard resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

public static get(name: string, id: Input<ID>, state?: GatewayPluginAiSemanticPromptGuardState, opts?: CustomResourceOptions): GatewayPluginAiSemanticPromptGuard

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        config: Optional[GatewayPluginAiSemanticPromptGuardConfigArgs] = None,
        consumer: Optional[GatewayPluginAiSemanticPromptGuardConsumerArgs] = None,
        consumer_group: Optional[GatewayPluginAiSemanticPromptGuardConsumerGroupArgs] = None,
        control_plane_id: Optional[str] = None,
        created_at: Optional[float] = None,
        enabled: Optional[bool] = None,
        gateway_plugin_ai_semantic_prompt_guard_id: Optional[str] = None,
        instance_name: Optional[str] = None,
        ordering: Optional[GatewayPluginAiSemanticPromptGuardOrderingArgs] = None,
        protocols: Optional[Sequence[str]] = None,
        route: Optional[GatewayPluginAiSemanticPromptGuardRouteArgs] = None,
        service: Optional[GatewayPluginAiSemanticPromptGuardServiceArgs] = None,
        tags: Optional[Sequence[str]] = None,
        updated_at: Optional[float] = None) -> GatewayPluginAiSemanticPromptGuard

func GetGatewayPluginAiSemanticPromptGuard(ctx *Context, name string, id IDInput, state *GatewayPluginAiSemanticPromptGuardState, opts ...ResourceOption) (*GatewayPluginAiSemanticPromptGuard, error)

public static GatewayPluginAiSemanticPromptGuard Get(string name, Input<string> id, GatewayPluginAiSemanticPromptGuardState? state, CustomResourceOptions? opts = null)

public static GatewayPluginAiSemanticPromptGuard get(String name, Output<String> id, GatewayPluginAiSemanticPromptGuardState state, CustomResourceOptions options)

resources:  _:    type: konnect:GatewayPluginAiSemanticPromptGuard    get:      id: ${id}

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

resource_name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

The following state arguments are supported:

Config GatewayPluginAiSemanticPromptGuardConfig
Consumer GatewayPluginAiSemanticPromptGuardConsumer: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
ConsumerGroup GatewayPluginAiSemanticPromptGuardConsumerGroup: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
ControlPlaneId string: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
CreatedAt double: Unix epoch when the resource was created.
Enabled bool: Whether the plugin is applied.
GatewayPluginAiSemanticPromptGuardId string: The ID of this resource.
InstanceName string
Ordering GatewayPluginAiSemanticPromptGuardOrdering
Protocols List<string>: A set of strings representing HTTP protocols.
Route GatewayPluginAiSemanticPromptGuardRoute: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
Service GatewayPluginAiSemanticPromptGuardService: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
Tags List<string>: An optional set of strings associated with the Plugin for grouping and filtering.
UpdatedAt double: Unix epoch when the resource was last updated.

Config GatewayPluginAiSemanticPromptGuardConfigArgs
Consumer GatewayPluginAiSemanticPromptGuardConsumerArgs: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
ConsumerGroup GatewayPluginAiSemanticPromptGuardConsumerGroupArgs: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
ControlPlaneId string: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
CreatedAt float64: Unix epoch when the resource was created.
Enabled bool: Whether the plugin is applied.
GatewayPluginAiSemanticPromptGuardId string: The ID of this resource.
InstanceName string
Ordering GatewayPluginAiSemanticPromptGuardOrderingArgs
Protocols []string: A set of strings representing HTTP protocols.
Route GatewayPluginAiSemanticPromptGuardRouteArgs: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
Service GatewayPluginAiSemanticPromptGuardServiceArgs: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
Tags []string: An optional set of strings associated with the Plugin for grouping and filtering.
UpdatedAt float64: Unix epoch when the resource was last updated.

config GatewayPluginAiSemanticPromptGuardConfig
consumer GatewayPluginAiSemanticPromptGuardConsumer: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
consumerGroup GatewayPluginAiSemanticPromptGuardConsumerGroup: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
controlPlaneId String: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
createdAt Double: Unix epoch when the resource was created.
enabled Boolean: Whether the plugin is applied.
gatewayPluginAiSemanticPromptGuardId String: The ID of this resource.
instanceName String
ordering GatewayPluginAiSemanticPromptGuardOrdering
protocols List<String>: A set of strings representing HTTP protocols.
route GatewayPluginAiSemanticPromptGuardRoute: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
service GatewayPluginAiSemanticPromptGuardService: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
tags List<String>: An optional set of strings associated with the Plugin for grouping and filtering.
updatedAt Double: Unix epoch when the resource was last updated.

config GatewayPluginAiSemanticPromptGuardConfig
consumer GatewayPluginAiSemanticPromptGuardConsumer: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
consumerGroup GatewayPluginAiSemanticPromptGuardConsumerGroup: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
controlPlaneId string: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
createdAt number: Unix epoch when the resource was created.
enabled boolean: Whether the plugin is applied.
gatewayPluginAiSemanticPromptGuardId string: The ID of this resource.
instanceName string
ordering GatewayPluginAiSemanticPromptGuardOrdering
protocols string[]: A set of strings representing HTTP protocols.
route GatewayPluginAiSemanticPromptGuardRoute: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
service GatewayPluginAiSemanticPromptGuardService: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
tags string[]: An optional set of strings associated with the Plugin for grouping and filtering.
updatedAt number: Unix epoch when the resource was last updated.

config GatewayPluginAiSemanticPromptGuardConfigArgs
consumer GatewayPluginAiSemanticPromptGuardConsumerArgs: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
consumer_group GatewayPluginAiSemanticPromptGuardConsumerGroupArgs: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
control_plane_id str: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
created_at float: Unix epoch when the resource was created.
enabled bool: Whether the plugin is applied.
gateway_plugin_ai_semantic_prompt_guard_id str: The ID of this resource.
instance_name str
ordering GatewayPluginAiSemanticPromptGuardOrderingArgs
protocols Sequence[str]: A set of strings representing HTTP protocols.
route GatewayPluginAiSemanticPromptGuardRouteArgs: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
service GatewayPluginAiSemanticPromptGuardServiceArgs: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
tags Sequence[str]: An optional set of strings associated with the Plugin for grouping and filtering.
updated_at float: Unix epoch when the resource was last updated.

config Property Map
consumer Property Map: If set, the plugin will activate only for requests where the specified has been authenticated. (Note that some plugins can not be restricted to consumers this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer.
consumerGroup Property Map: If set, the plugin will activate only for requests where the specified consumer group has been authenticated. (Note that some plugins can not be restricted to consumers groups this way.). Leave unset for the plugin to activate regardless of the authenticated Consumer Groups
controlPlaneId String: The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
createdAt Number: Unix epoch when the resource was created.
enabled Boolean: Whether the plugin is applied.
gatewayPluginAiSemanticPromptGuardId String: The ID of this resource.
instanceName String
ordering Property Map
protocols List<String>: A set of strings representing HTTP protocols.
route Property Map: If set, the plugin will only activate when receiving requests via the specified route. Leave unset for the plugin to activate regardless of the route being used.
service Property Map: If set, the plugin will only activate when receiving requests via one of the routes belonging to the specified Service. Leave unset for the plugin to activate regardless of the Service being matched.
tags List<String>: An optional set of strings associated with the Plugin for grouping and filtering.
updatedAt Number: Unix epoch when the resource was last updated.

Supporting Types

GatewayPluginAiSemanticPromptGuardConfig, GatewayPluginAiSemanticPromptGuardConfigArgs

Embeddings GatewayPluginAiSemanticPromptGuardConfigEmbeddings
LlmFormat string: LLM input and output format and schema to use. must be one of ["bedrock", "gemini", "openai"]
Rules GatewayPluginAiSemanticPromptGuardConfigRules
Search GatewayPluginAiSemanticPromptGuardConfigSearch
Vectordb GatewayPluginAiSemanticPromptGuardConfigVectordb

Embeddings GatewayPluginAiSemanticPromptGuardConfigEmbeddings
LlmFormat string: LLM input and output format and schema to use. must be one of ["bedrock", "gemini", "openai"]
Rules GatewayPluginAiSemanticPromptGuardConfigRules
Search GatewayPluginAiSemanticPromptGuardConfigSearch
Vectordb GatewayPluginAiSemanticPromptGuardConfigVectordb

embeddings GatewayPluginAiSemanticPromptGuardConfigEmbeddings
llmFormat String: LLM input and output format and schema to use. must be one of ["bedrock", "gemini", "openai"]
rules GatewayPluginAiSemanticPromptGuardConfigRules
search GatewayPluginAiSemanticPromptGuardConfigSearch
vectordb GatewayPluginAiSemanticPromptGuardConfigVectordb

embeddings GatewayPluginAiSemanticPromptGuardConfigEmbeddings
llmFormat string: LLM input and output format and schema to use. must be one of ["bedrock", "gemini", "openai"]
rules GatewayPluginAiSemanticPromptGuardConfigRules
search GatewayPluginAiSemanticPromptGuardConfigSearch
vectordb GatewayPluginAiSemanticPromptGuardConfigVectordb

embeddings GatewayPluginAiSemanticPromptGuardConfigEmbeddings
llm_format str: LLM input and output format and schema to use. must be one of ["bedrock", "gemini", "openai"]
rules GatewayPluginAiSemanticPromptGuardConfigRules
search GatewayPluginAiSemanticPromptGuardConfigSearch
vectordb GatewayPluginAiSemanticPromptGuardConfigVectordb

embeddings Property Map
llmFormat String: LLM input and output format and schema to use. must be one of ["bedrock", "gemini", "openai"]
rules Property Map
search Property Map
vectordb Property Map

GatewayPluginAiSemanticPromptGuardConfigEmbeddings, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsArgs

Auth GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuth
Model GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModel

Auth GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuth
Model GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModel

auth GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuth
model GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModel

auth GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuth
model GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModel

auth GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuth
model GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModel

auth Property Map
model Property Map

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuth, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuthArgs

AllowOverride bool: If enabled, the authorization header or parameter can be overridden in the request by the value configured in the plugin.
AwsAccessKeyId string: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSACCESSKEY_ID environment variable for this plugin instance.
AwsSecretAccessKey string: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSSECRETACCESS_KEY environment variable for this plugin instance.
AzureClientId string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client ID.
AzureClientSecret string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client secret.
AzureTenantId string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the tenant ID.
AzureUseManagedIdentity bool: Set true to use the Azure Cloud Managed Identity (or user-assigned identity) to authenticate with Azure-provider models.
GcpServiceAccountJson string: Set this field to the full JSON of the GCP service account to authenticate, if required. If null (and gcpuseservice_account is true), Kong will attempt to read from environment variable GCP_SERVICE_ACCOUNT.
GcpUseServiceAccount bool: Use service account auth for GCP-based providers and models.
HeaderName string: If AI model requires authentication via Authorization or API key header, specify its name here.
HeaderValue string: Specify the full auth header value for 'header_name', for example 'Bearer key' or just 'key'.
ParamLocation string: Specify whether the 'paramname' and 'paramvalue' options go in a query string, or the POST form/JSON body. must be one of ["body", "query"]
ParamName string: If AI model requires authentication via query parameter, specify its name here.
ParamValue string: Specify the full parameter value for 'param_name'.

AllowOverride bool: If enabled, the authorization header or parameter can be overridden in the request by the value configured in the plugin.
AwsAccessKeyId string: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSACCESSKEY_ID environment variable for this plugin instance.
AwsSecretAccessKey string: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSSECRETACCESS_KEY environment variable for this plugin instance.
AzureClientId string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client ID.
AzureClientSecret string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client secret.
AzureTenantId string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the tenant ID.
AzureUseManagedIdentity bool: Set true to use the Azure Cloud Managed Identity (or user-assigned identity) to authenticate with Azure-provider models.
GcpServiceAccountJson string: Set this field to the full JSON of the GCP service account to authenticate, if required. If null (and gcpuseservice_account is true), Kong will attempt to read from environment variable GCP_SERVICE_ACCOUNT.
GcpUseServiceAccount bool: Use service account auth for GCP-based providers and models.
HeaderName string: If AI model requires authentication via Authorization or API key header, specify its name here.
HeaderValue string: Specify the full auth header value for 'header_name', for example 'Bearer key' or just 'key'.
ParamLocation string: Specify whether the 'paramname' and 'paramvalue' options go in a query string, or the POST form/JSON body. must be one of ["body", "query"]
ParamName string: If AI model requires authentication via query parameter, specify its name here.
ParamValue string: Specify the full parameter value for 'param_name'.

allowOverride Boolean: If enabled, the authorization header or parameter can be overridden in the request by the value configured in the plugin.
awsAccessKeyId String: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSACCESSKEY_ID environment variable for this plugin instance.
awsSecretAccessKey String: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSSECRETACCESS_KEY environment variable for this plugin instance.
azureClientId String: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client ID.
azureClientSecret String: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client secret.
azureTenantId String: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the tenant ID.
azureUseManagedIdentity Boolean: Set true to use the Azure Cloud Managed Identity (or user-assigned identity) to authenticate with Azure-provider models.
gcpServiceAccountJson String: Set this field to the full JSON of the GCP service account to authenticate, if required. If null (and gcpuseservice_account is true), Kong will attempt to read from environment variable GCP_SERVICE_ACCOUNT.
gcpUseServiceAccount Boolean: Use service account auth for GCP-based providers and models.
headerName String: If AI model requires authentication via Authorization or API key header, specify its name here.
headerValue String: Specify the full auth header value for 'header_name', for example 'Bearer key' or just 'key'.
paramLocation String: Specify whether the 'paramname' and 'paramvalue' options go in a query string, or the POST form/JSON body. must be one of ["body", "query"]
paramName String: If AI model requires authentication via query parameter, specify its name here.
paramValue String: Specify the full parameter value for 'param_name'.

allowOverride boolean: If enabled, the authorization header or parameter can be overridden in the request by the value configured in the plugin.
awsAccessKeyId string: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSACCESSKEY_ID environment variable for this plugin instance.
awsSecretAccessKey string: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSSECRETACCESS_KEY environment variable for this plugin instance.
azureClientId string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client ID.
azureClientSecret string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client secret.
azureTenantId string: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the tenant ID.
azureUseManagedIdentity boolean: Set true to use the Azure Cloud Managed Identity (or user-assigned identity) to authenticate with Azure-provider models.
gcpServiceAccountJson string: Set this field to the full JSON of the GCP service account to authenticate, if required. If null (and gcpuseservice_account is true), Kong will attempt to read from environment variable GCP_SERVICE_ACCOUNT.
gcpUseServiceAccount boolean: Use service account auth for GCP-based providers and models.
headerName string: If AI model requires authentication via Authorization or API key header, specify its name here.
headerValue string: Specify the full auth header value for 'header_name', for example 'Bearer key' or just 'key'.
paramLocation string: Specify whether the 'paramname' and 'paramvalue' options go in a query string, or the POST form/JSON body. must be one of ["body", "query"]
paramName string: If AI model requires authentication via query parameter, specify its name here.
paramValue string: Specify the full parameter value for 'param_name'.

allow_override bool: If enabled, the authorization header or parameter can be overridden in the request by the value configured in the plugin.
aws_access_key_id str: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSACCESSKEY_ID environment variable for this plugin instance.
aws_secret_access_key str: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSSECRETACCESS_KEY environment variable for this plugin instance.
azure_client_id str: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client ID.
azure_client_secret str: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client secret.
azure_tenant_id str: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the tenant ID.
azure_use_managed_identity bool: Set true to use the Azure Cloud Managed Identity (or user-assigned identity) to authenticate with Azure-provider models.
gcp_service_account_json str: Set this field to the full JSON of the GCP service account to authenticate, if required. If null (and gcpuseservice_account is true), Kong will attempt to read from environment variable GCP_SERVICE_ACCOUNT.
gcp_use_service_account bool: Use service account auth for GCP-based providers and models.
header_name str: If AI model requires authentication via Authorization or API key header, specify its name here.
header_value str: Specify the full auth header value for 'header_name', for example 'Bearer key' or just 'key'.
param_location str: Specify whether the 'paramname' and 'paramvalue' options go in a query string, or the POST form/JSON body. must be one of ["body", "query"]
param_name str: If AI model requires authentication via query parameter, specify its name here.
param_value str: Specify the full parameter value for 'param_name'.

allowOverride Boolean: If enabled, the authorization header or parameter can be overridden in the request by the value configured in the plugin.
awsAccessKeyId String: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSACCESSKEY_ID environment variable for this plugin instance.
awsSecretAccessKey String: Set this if you are using an AWS provider (Bedrock) and you are authenticating using static IAM User credentials. Setting this will override the AWSSECRETACCESS_KEY environment variable for this plugin instance.
azureClientId String: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client ID.
azureClientSecret String: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the client secret.
azureTenantId String: If azureusemanaged_identity is set to true, and you need to use a different user-assigned identity for this LLM instance, set the tenant ID.
azureUseManagedIdentity Boolean: Set true to use the Azure Cloud Managed Identity (or user-assigned identity) to authenticate with Azure-provider models.
gcpServiceAccountJson String: Set this field to the full JSON of the GCP service account to authenticate, if required. If null (and gcpuseservice_account is true), Kong will attempt to read from environment variable GCP_SERVICE_ACCOUNT.
gcpUseServiceAccount Boolean: Use service account auth for GCP-based providers and models.
headerName String: If AI model requires authentication via Authorization or API key header, specify its name here.
headerValue String: Specify the full auth header value for 'header_name', for example 'Bearer key' or just 'key'.
paramLocation String: Specify whether the 'paramname' and 'paramvalue' options go in a query string, or the POST form/JSON body. must be one of ["body", "query"]
paramName String: If AI model requires authentication via query parameter, specify its name here.
paramValue String: Specify the full parameter value for 'param_name'.

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModel, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelArgs

Name string: Model name to execute.
Options GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptions: Key/value settings for the model
Provider string: AI provider format to use for embeddings API. must be one of ["azure", "bedrock", "gemini", "huggingface", "mistral", "openai"]

Name string: Model name to execute.
Options GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptions: Key/value settings for the model
Provider string: AI provider format to use for embeddings API. must be one of ["azure", "bedrock", "gemini", "huggingface", "mistral", "openai"]

name String: Model name to execute.
options GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptions: Key/value settings for the model
provider String: AI provider format to use for embeddings API. must be one of ["azure", "bedrock", "gemini", "huggingface", "mistral", "openai"]

name string: Model name to execute.
options GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptions: Key/value settings for the model
provider string: AI provider format to use for embeddings API. must be one of ["azure", "bedrock", "gemini", "huggingface", "mistral", "openai"]

name str: Model name to execute.
options GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptions: Key/value settings for the model
provider str: AI provider format to use for embeddings API. must be one of ["azure", "bedrock", "gemini", "huggingface", "mistral", "openai"]

name String: Model name to execute.
options Property Map: Key/value settings for the model
provider String: AI provider format to use for embeddings API. must be one of ["azure", "bedrock", "gemini", "huggingface", "mistral", "openai"]

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptions, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsArgs

Azure GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzure: Not Null
Bedrock GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrock
Gemini GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGemini
Huggingface GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingface
UpstreamUrl string: upstream url for the embeddings

Azure GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzure: Not Null
Bedrock GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrock
Gemini GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGemini
Huggingface GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingface
UpstreamUrl string: upstream url for the embeddings

azure GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzure: Not Null
bedrock GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrock
gemini GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGemini
huggingface GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingface
upstreamUrl String: upstream url for the embeddings

azure GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzure: Not Null
bedrock GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrock
gemini GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGemini
huggingface GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingface
upstreamUrl string: upstream url for the embeddings

azure GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzure: Not Null
bedrock GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrock
gemini GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGemini
huggingface GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingface
upstream_url str: upstream url for the embeddings

azure Property Map: Not Null
bedrock Property Map
gemini Property Map
huggingface Property Map
upstreamUrl String: upstream url for the embeddings

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzure, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzureArgs

ApiVersion string: 'api-version' for Azure OpenAI instances.
DeploymentId string: Deployment ID for Azure OpenAI instances.
Instance string: Instance name for Azure OpenAI hosted models.

ApiVersion string: 'api-version' for Azure OpenAI instances.
DeploymentId string: Deployment ID for Azure OpenAI instances.
Instance string: Instance name for Azure OpenAI hosted models.

apiVersion String: 'api-version' for Azure OpenAI instances.
deploymentId String: Deployment ID for Azure OpenAI instances.
instance String: Instance name for Azure OpenAI hosted models.

apiVersion string: 'api-version' for Azure OpenAI instances.
deploymentId string: Deployment ID for Azure OpenAI instances.
instance string: Instance name for Azure OpenAI hosted models.

api_version str: 'api-version' for Azure OpenAI instances.
deployment_id str: Deployment ID for Azure OpenAI instances.
instance str: Instance name for Azure OpenAI hosted models.

apiVersion String: 'api-version' for Azure OpenAI instances.
deploymentId String: Deployment ID for Azure OpenAI instances.
instance String: Instance name for Azure OpenAI hosted models.

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrock, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrockArgs

AwsAssumeRoleArn string: If using AWS providers (Bedrock) you can assume a different role after authentication with the current IAM context is successful.
AwsRegion string: If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
AwsRoleSessionName string: If using AWS providers (Bedrock), set the identifier of the assumed role session.
AwsStsEndpointUrl string: If using AWS providers (Bedrock), override the STS endpoint URL when assuming a different role.

AwsAssumeRoleArn string: If using AWS providers (Bedrock) you can assume a different role after authentication with the current IAM context is successful.
AwsRegion string: If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
AwsRoleSessionName string: If using AWS providers (Bedrock), set the identifier of the assumed role session.
AwsStsEndpointUrl string: If using AWS providers (Bedrock), override the STS endpoint URL when assuming a different role.

awsAssumeRoleArn String: If using AWS providers (Bedrock) you can assume a different role after authentication with the current IAM context is successful.
awsRegion String: If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
awsRoleSessionName String: If using AWS providers (Bedrock), set the identifier of the assumed role session.
awsStsEndpointUrl String: If using AWS providers (Bedrock), override the STS endpoint URL when assuming a different role.

awsAssumeRoleArn string: If using AWS providers (Bedrock) you can assume a different role after authentication with the current IAM context is successful.
awsRegion string: If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
awsRoleSessionName string: If using AWS providers (Bedrock), set the identifier of the assumed role session.
awsStsEndpointUrl string: If using AWS providers (Bedrock), override the STS endpoint URL when assuming a different role.

aws_assume_role_arn str: If using AWS providers (Bedrock) you can assume a different role after authentication with the current IAM context is successful.
aws_region str: If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
aws_role_session_name str: If using AWS providers (Bedrock), set the identifier of the assumed role session.
aws_sts_endpoint_url str: If using AWS providers (Bedrock), override the STS endpoint URL when assuming a different role.

awsAssumeRoleArn String: If using AWS providers (Bedrock) you can assume a different role after authentication with the current IAM context is successful.
awsRegion String: If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
awsRoleSessionName String: If using AWS providers (Bedrock), set the identifier of the assumed role session.
awsStsEndpointUrl String: If using AWS providers (Bedrock), override the STS endpoint URL when assuming a different role.

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGemini, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGeminiArgs

ApiEndpoint string: If running Gemini on Vertex, specify the regional API endpoint (hostname only).
LocationId string: If running Gemini on Vertex, specify the location ID.
ProjectId string: If running Gemini on Vertex, specify the project ID.

ApiEndpoint string: If running Gemini on Vertex, specify the regional API endpoint (hostname only).
LocationId string: If running Gemini on Vertex, specify the location ID.
ProjectId string: If running Gemini on Vertex, specify the project ID.

apiEndpoint String: If running Gemini on Vertex, specify the regional API endpoint (hostname only).
locationId String: If running Gemini on Vertex, specify the location ID.
projectId String: If running Gemini on Vertex, specify the project ID.

apiEndpoint string: If running Gemini on Vertex, specify the regional API endpoint (hostname only).
locationId string: If running Gemini on Vertex, specify the location ID.
projectId string: If running Gemini on Vertex, specify the project ID.

api_endpoint str: If running Gemini on Vertex, specify the regional API endpoint (hostname only).
location_id str: If running Gemini on Vertex, specify the location ID.
project_id str: If running Gemini on Vertex, specify the project ID.

apiEndpoint String: If running Gemini on Vertex, specify the regional API endpoint (hostname only).
locationId String: If running Gemini on Vertex, specify the location ID.
projectId String: If running Gemini on Vertex, specify the project ID.

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingface, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingfaceArgs

UseCache bool: Use the cache layer on the inference API
WaitForModel bool: Wait for the model if it is not ready

UseCache bool: Use the cache layer on the inference API
WaitForModel bool: Wait for the model if it is not ready

useCache Boolean: Use the cache layer on the inference API
waitForModel Boolean: Wait for the model if it is not ready

useCache boolean: Use the cache layer on the inference API
waitForModel boolean: Wait for the model if it is not ready

use_cache bool: Use the cache layer on the inference API
wait_for_model bool: Wait for the model if it is not ready

useCache Boolean: Use the cache layer on the inference API
waitForModel Boolean: Wait for the model if it is not ready

GatewayPluginAiSemanticPromptGuardConfigRules, GatewayPluginAiSemanticPromptGuardConfigRulesArgs

AllowPrompts List<string>: List of prompts to allow.
DenyPrompts List<string>: List of prompts to deny.
MatchAllConversationHistory bool: If false, will ignore all previous chat prompts from the conversation history.
MatchAllRoles bool: If true, will match all roles in addition to 'user' role in conversation history.
MaxRequestBodySize double: max allowed body size allowed to be introspected

AllowPrompts []string: List of prompts to allow.
DenyPrompts []string: List of prompts to deny.
MatchAllConversationHistory bool: If false, will ignore all previous chat prompts from the conversation history.
MatchAllRoles bool: If true, will match all roles in addition to 'user' role in conversation history.
MaxRequestBodySize float64: max allowed body size allowed to be introspected

allowPrompts List<String>: List of prompts to allow.
denyPrompts List<String>: List of prompts to deny.
matchAllConversationHistory Boolean: If false, will ignore all previous chat prompts from the conversation history.
matchAllRoles Boolean: If true, will match all roles in addition to 'user' role in conversation history.
maxRequestBodySize Double: max allowed body size allowed to be introspected

allowPrompts string[]: List of prompts to allow.
denyPrompts string[]: List of prompts to deny.
matchAllConversationHistory boolean: If false, will ignore all previous chat prompts from the conversation history.
matchAllRoles boolean: If true, will match all roles in addition to 'user' role in conversation history.
maxRequestBodySize number: max allowed body size allowed to be introspected

allow_prompts Sequence[str]: List of prompts to allow.
deny_prompts Sequence[str]: List of prompts to deny.
match_all_conversation_history bool: If false, will ignore all previous chat prompts from the conversation history.
match_all_roles bool: If true, will match all roles in addition to 'user' role in conversation history.
max_request_body_size float: max allowed body size allowed to be introspected

allowPrompts List<String>: List of prompts to allow.
denyPrompts List<String>: List of prompts to deny.
matchAllConversationHistory Boolean: If false, will ignore all previous chat prompts from the conversation history.
matchAllRoles Boolean: If true, will match all roles in addition to 'user' role in conversation history.
maxRequestBodySize Number: max allowed body size allowed to be introspected

GatewayPluginAiSemanticPromptGuardConfigSearch, GatewayPluginAiSemanticPromptGuardConfigSearchArgs

Threshold double: Threshold for the similarity score to be considered a match.

Threshold float64: Threshold for the similarity score to be considered a match.

threshold Double: Threshold for the similarity score to be considered a match.

threshold number: Threshold for the similarity score to be considered a match.

threshold float: Threshold for the similarity score to be considered a match.

threshold Number: Threshold for the similarity score to be considered a match.

GatewayPluginAiSemanticPromptGuardConfigVectordb, GatewayPluginAiSemanticPromptGuardConfigVectordbArgs

Dimensions double: the desired dimensionality for the vectors
DistanceMetric string: the distance metric to use for vector searches. must be one of ["cosine", "euclidean"]
Pgvector GatewayPluginAiSemanticPromptGuardConfigVectordbPgvector
Redis GatewayPluginAiSemanticPromptGuardConfigVectordbRedis
Strategy string: which vector database driver to use. must be one of ["pgvector", "redis"]
Threshold double: the default similarity threshold for accepting semantic search results (float)

Dimensions float64: the desired dimensionality for the vectors
DistanceMetric string: the distance metric to use for vector searches. must be one of ["cosine", "euclidean"]
Pgvector GatewayPluginAiSemanticPromptGuardConfigVectordbPgvector
Redis GatewayPluginAiSemanticPromptGuardConfigVectordbRedis
Strategy string: which vector database driver to use. must be one of ["pgvector", "redis"]
Threshold float64: the default similarity threshold for accepting semantic search results (float)

dimensions Double: the desired dimensionality for the vectors
distanceMetric String: the distance metric to use for vector searches. must be one of ["cosine", "euclidean"]
pgvector GatewayPluginAiSemanticPromptGuardConfigVectordbPgvector
redis GatewayPluginAiSemanticPromptGuardConfigVectordbRedis
strategy String: which vector database driver to use. must be one of ["pgvector", "redis"]
threshold Double: the default similarity threshold for accepting semantic search results (float)

dimensions number: the desired dimensionality for the vectors
distanceMetric string: the distance metric to use for vector searches. must be one of ["cosine", "euclidean"]
pgvector GatewayPluginAiSemanticPromptGuardConfigVectordbPgvector
redis GatewayPluginAiSemanticPromptGuardConfigVectordbRedis
strategy string: which vector database driver to use. must be one of ["pgvector", "redis"]
threshold number: the default similarity threshold for accepting semantic search results (float)

dimensions float: the desired dimensionality for the vectors
distance_metric str: the distance metric to use for vector searches. must be one of ["cosine", "euclidean"]
pgvector GatewayPluginAiSemanticPromptGuardConfigVectordbPgvector
redis GatewayPluginAiSemanticPromptGuardConfigVectordbRedis
strategy str: which vector database driver to use. must be one of ["pgvector", "redis"]
threshold float: the default similarity threshold for accepting semantic search results (float)

dimensions Number: the desired dimensionality for the vectors
distanceMetric String: the distance metric to use for vector searches. must be one of ["cosine", "euclidean"]
pgvector Property Map
redis Property Map
strategy String: which vector database driver to use. must be one of ["pgvector", "redis"]
threshold Number: the default similarity threshold for accepting semantic search results (float)

GatewayPluginAiSemanticPromptGuardConfigVectordbPgvector, GatewayPluginAiSemanticPromptGuardConfigVectordbPgvectorArgs

Database string: the database of the pgvector database
Host string: the host of the pgvector database
Password string: the password of the pgvector database
Port double: the port of the pgvector database
Ssl bool: whether to use ssl for the pgvector database
SslCert string: the path of ssl cert to use for the pgvector database
SslCertKey string: the path of ssl cert key to use for the pgvector database
SslRequired bool: whether ssl is required for the pgvector database
SslVerify bool: whether to verify ssl for the pgvector database
SslVersion string: the ssl version to use for the pgvector database. must be one of ["any", "tlsv12", "tlsv13"]
Timeout double: the timeout of the pgvector database
User string: the user of the pgvector database

Database string: the database of the pgvector database
Host string: the host of the pgvector database
Password string: the password of the pgvector database
Port float64: the port of the pgvector database
Ssl bool: whether to use ssl for the pgvector database
SslCert string: the path of ssl cert to use for the pgvector database
SslCertKey string: the path of ssl cert key to use for the pgvector database
SslRequired bool: whether ssl is required for the pgvector database
SslVerify bool: whether to verify ssl for the pgvector database
SslVersion string: the ssl version to use for the pgvector database. must be one of ["any", "tlsv12", "tlsv13"]
Timeout float64: the timeout of the pgvector database
User string: the user of the pgvector database

database String: the database of the pgvector database
host String: the host of the pgvector database
password String: the password of the pgvector database
port Double: the port of the pgvector database
ssl Boolean: whether to use ssl for the pgvector database
sslCert String: the path of ssl cert to use for the pgvector database
sslCertKey String: the path of ssl cert key to use for the pgvector database
sslRequired Boolean: whether ssl is required for the pgvector database
sslVerify Boolean: whether to verify ssl for the pgvector database
sslVersion String: the ssl version to use for the pgvector database. must be one of ["any", "tlsv12", "tlsv13"]
timeout Double: the timeout of the pgvector database
user String: the user of the pgvector database

database string: the database of the pgvector database
host string: the host of the pgvector database
password string: the password of the pgvector database
port number: the port of the pgvector database
ssl boolean: whether to use ssl for the pgvector database
sslCert string: the path of ssl cert to use for the pgvector database
sslCertKey string: the path of ssl cert key to use for the pgvector database
sslRequired boolean: whether ssl is required for the pgvector database
sslVerify boolean: whether to verify ssl for the pgvector database
sslVersion string: the ssl version to use for the pgvector database. must be one of ["any", "tlsv12", "tlsv13"]
timeout number: the timeout of the pgvector database
user string: the user of the pgvector database

database str: the database of the pgvector database
host str: the host of the pgvector database
password str: the password of the pgvector database
port float: the port of the pgvector database
ssl bool: whether to use ssl for the pgvector database
ssl_cert str: the path of ssl cert to use for the pgvector database
ssl_cert_key str: the path of ssl cert key to use for the pgvector database
ssl_required bool: whether ssl is required for the pgvector database
ssl_verify bool: whether to verify ssl for the pgvector database
ssl_version str: the ssl version to use for the pgvector database. must be one of ["any", "tlsv12", "tlsv13"]
timeout float: the timeout of the pgvector database
user str: the user of the pgvector database

database String: the database of the pgvector database
host String: the host of the pgvector database
password String: the password of the pgvector database
port Number: the port of the pgvector database
ssl Boolean: whether to use ssl for the pgvector database
sslCert String: the path of ssl cert to use for the pgvector database
sslCertKey String: the path of ssl cert key to use for the pgvector database
sslRequired Boolean: whether ssl is required for the pgvector database
sslVerify Boolean: whether to verify ssl for the pgvector database
sslVersion String: the ssl version to use for the pgvector database. must be one of ["any", "tlsv12", "tlsv13"]
timeout Number: the timeout of the pgvector database
user String: the user of the pgvector database

GatewayPluginAiSemanticPromptGuardConfigVectordbRedis, GatewayPluginAiSemanticPromptGuardConfigVectordbRedisArgs

ClusterMaxRedirections double: Maximum retry attempts for redirection.
ClusterNodes List<GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNode>: Cluster addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Cluster. The minimum length of the array is 1 element.
ConnectTimeout double: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
ConnectionIsProxied bool: If the connection to Redis is proxied (e.g. Envoy), set it true. Set the host and port to point to the proxy address.
Database double: Database to use for the Redis connection when using the redis strategy
Host string: A string representing a host name, such as example.com.
KeepaliveBacklog double: Limits the total number of opened connections for a pool. If the connection pool is full, connection queues above the limit go into the backlog queue. If the backlog queue is full, subsequent connect operations fail and return nil. Queued operations (subject to set timeouts) resume once the number of connections in the pool is less than keepalive_pool_size. If latency is high or throughput is low, try increasing this value. Empirically, this value is larger than keepalive_pool_size.
KeepalivePoolSize double: The size limit for every cosocket connection pool associated with every remote server, per worker process. If neither keepalive_pool_size nor keepalive_backlog is specified, no pool is created. If keepalive_pool_size isn't specified but keepalive_backlog is specified, then the pool uses the default value. Try to increase (e.g. 512) this value if latency is high or throughput is low.
Password string: Password to use for Redis connections. If undefined, no AUTH commands are sent to Redis.
Port double: An integer representing a port number between 0 and 65535, inclusive.
ReadTimeout double: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
SendTimeout double: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
SentinelMaster string: Sentinel master to use for Redis connections. Defining this value implies using Redis Sentinel.
SentinelNodes List<GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNode>: Sentinel node addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Sentinel. The minimum length of the array is 1 element.
SentinelPassword string: Sentinel password to authenticate with a Redis Sentinel instance. If undefined, no AUTH commands are sent to Redis Sentinels.
SentinelRole string: Sentinel role to use for Redis connections when the redis strategy is defined. Defining this value implies using Redis Sentinel. must be one of ["any", "master", "slave"]
SentinelUsername string: Sentinel username to authenticate with a Redis Sentinel instance. If undefined, ACL authentication won't be performed. This requires Redis v6.2.0+.
ServerName string: A string representing an SNI (server name indication) value for TLS.
Ssl bool: If set to true, uses SSL to connect to Redis.
SslVerify bool: If set to true, verifies the validity of the server SSL certificate. If setting this parameter, also configure lua_ssl_trusted_certificate in kong.conf to specify the CA (or server) certificate used by your Redis server. You may also need to configure lua_ssl_verify_depth accordingly.
Username string: Username to use for Redis connections. If undefined, ACL authentication won't be performed. This requires Redis v6.0.0+. To be compatible with Redis v5.x.y, you can set it to default.

ClusterMaxRedirections float64: Maximum retry attempts for redirection.
ClusterNodes []GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNode: Cluster addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Cluster. The minimum length of the array is 1 element.
ConnectTimeout float64: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
ConnectionIsProxied bool: If the connection to Redis is proxied (e.g. Envoy), set it true. Set the host and port to point to the proxy address.
Database float64: Database to use for the Redis connection when using the redis strategy
Host string: A string representing a host name, such as example.com.
KeepaliveBacklog float64: Limits the total number of opened connections for a pool. If the connection pool is full, connection queues above the limit go into the backlog queue. If the backlog queue is full, subsequent connect operations fail and return nil. Queued operations (subject to set timeouts) resume once the number of connections in the pool is less than keepalive_pool_size. If latency is high or throughput is low, try increasing this value. Empirically, this value is larger than keepalive_pool_size.
KeepalivePoolSize float64: The size limit for every cosocket connection pool associated with every remote server, per worker process. If neither keepalive_pool_size nor keepalive_backlog is specified, no pool is created. If keepalive_pool_size isn't specified but keepalive_backlog is specified, then the pool uses the default value. Try to increase (e.g. 512) this value if latency is high or throughput is low.
Password string: Password to use for Redis connections. If undefined, no AUTH commands are sent to Redis.
Port float64: An integer representing a port number between 0 and 65535, inclusive.
ReadTimeout float64: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
SendTimeout float64: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
SentinelMaster string: Sentinel master to use for Redis connections. Defining this value implies using Redis Sentinel.
SentinelNodes []GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNode: Sentinel node addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Sentinel. The minimum length of the array is 1 element.
SentinelPassword string: Sentinel password to authenticate with a Redis Sentinel instance. If undefined, no AUTH commands are sent to Redis Sentinels.
SentinelRole string: Sentinel role to use for Redis connections when the redis strategy is defined. Defining this value implies using Redis Sentinel. must be one of ["any", "master", "slave"]
SentinelUsername string: Sentinel username to authenticate with a Redis Sentinel instance. If undefined, ACL authentication won't be performed. This requires Redis v6.2.0+.
ServerName string: A string representing an SNI (server name indication) value for TLS.
Ssl bool: If set to true, uses SSL to connect to Redis.
SslVerify bool: If set to true, verifies the validity of the server SSL certificate. If setting this parameter, also configure lua_ssl_trusted_certificate in kong.conf to specify the CA (or server) certificate used by your Redis server. You may also need to configure lua_ssl_verify_depth accordingly.
Username string: Username to use for Redis connections. If undefined, ACL authentication won't be performed. This requires Redis v6.0.0+. To be compatible with Redis v5.x.y, you can set it to default.

clusterMaxRedirections Double: Maximum retry attempts for redirection.
clusterNodes List<GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNode>: Cluster addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Cluster. The minimum length of the array is 1 element.
connectTimeout Double: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
connectionIsProxied Boolean: If the connection to Redis is proxied (e.g. Envoy), set it true. Set the host and port to point to the proxy address.
database Double: Database to use for the Redis connection when using the redis strategy
host String: A string representing a host name, such as example.com.
keepaliveBacklog Double: Limits the total number of opened connections for a pool. If the connection pool is full, connection queues above the limit go into the backlog queue. If the backlog queue is full, subsequent connect operations fail and return nil. Queued operations (subject to set timeouts) resume once the number of connections in the pool is less than keepalive_pool_size. If latency is high or throughput is low, try increasing this value. Empirically, this value is larger than keepalive_pool_size.
keepalivePoolSize Double: The size limit for every cosocket connection pool associated with every remote server, per worker process. If neither keepalive_pool_size nor keepalive_backlog is specified, no pool is created. If keepalive_pool_size isn't specified but keepalive_backlog is specified, then the pool uses the default value. Try to increase (e.g. 512) this value if latency is high or throughput is low.
password String: Password to use for Redis connections. If undefined, no AUTH commands are sent to Redis.
port Double: An integer representing a port number between 0 and 65535, inclusive.
readTimeout Double: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
sendTimeout Double: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
sentinelMaster String: Sentinel master to use for Redis connections. Defining this value implies using Redis Sentinel.
sentinelNodes List<GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNode>: Sentinel node addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Sentinel. The minimum length of the array is 1 element.
sentinelPassword String: Sentinel password to authenticate with a Redis Sentinel instance. If undefined, no AUTH commands are sent to Redis Sentinels.
sentinelRole String: Sentinel role to use for Redis connections when the redis strategy is defined. Defining this value implies using Redis Sentinel. must be one of ["any", "master", "slave"]
sentinelUsername String: Sentinel username to authenticate with a Redis Sentinel instance. If undefined, ACL authentication won't be performed. This requires Redis v6.2.0+.
serverName String: A string representing an SNI (server name indication) value for TLS.
ssl Boolean: If set to true, uses SSL to connect to Redis.
sslVerify Boolean: If set to true, verifies the validity of the server SSL certificate. If setting this parameter, also configure lua_ssl_trusted_certificate in kong.conf to specify the CA (or server) certificate used by your Redis server. You may also need to configure lua_ssl_verify_depth accordingly.
username String: Username to use for Redis connections. If undefined, ACL authentication won't be performed. This requires Redis v6.0.0+. To be compatible with Redis v5.x.y, you can set it to default.

clusterMaxRedirections number: Maximum retry attempts for redirection.
clusterNodes GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNode[]: Cluster addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Cluster. The minimum length of the array is 1 element.
connectTimeout number: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
connectionIsProxied boolean: If the connection to Redis is proxied (e.g. Envoy), set it true. Set the host and port to point to the proxy address.
database number: Database to use for the Redis connection when using the redis strategy
host string: A string representing a host name, such as example.com.
keepaliveBacklog number: Limits the total number of opened connections for a pool. If the connection pool is full, connection queues above the limit go into the backlog queue. If the backlog queue is full, subsequent connect operations fail and return nil. Queued operations (subject to set timeouts) resume once the number of connections in the pool is less than keepalive_pool_size. If latency is high or throughput is low, try increasing this value. Empirically, this value is larger than keepalive_pool_size.
keepalivePoolSize number: The size limit for every cosocket connection pool associated with every remote server, per worker process. If neither keepalive_pool_size nor keepalive_backlog is specified, no pool is created. If keepalive_pool_size isn't specified but keepalive_backlog is specified, then the pool uses the default value. Try to increase (e.g. 512) this value if latency is high or throughput is low.
password string: Password to use for Redis connections. If undefined, no AUTH commands are sent to Redis.
port number: An integer representing a port number between 0 and 65535, inclusive.
readTimeout number: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
sendTimeout number: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
sentinelMaster string: Sentinel master to use for Redis connections. Defining this value implies using Redis Sentinel.
sentinelNodes GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNode[]: Sentinel node addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Sentinel. The minimum length of the array is 1 element.
sentinelPassword string: Sentinel password to authenticate with a Redis Sentinel instance. If undefined, no AUTH commands are sent to Redis Sentinels.
sentinelRole string: Sentinel role to use for Redis connections when the redis strategy is defined. Defining this value implies using Redis Sentinel. must be one of ["any", "master", "slave"]
sentinelUsername string: Sentinel username to authenticate with a Redis Sentinel instance. If undefined, ACL authentication won't be performed. This requires Redis v6.2.0+.
serverName string: A string representing an SNI (server name indication) value for TLS.
ssl boolean: If set to true, uses SSL to connect to Redis.
sslVerify boolean: If set to true, verifies the validity of the server SSL certificate. If setting this parameter, also configure lua_ssl_trusted_certificate in kong.conf to specify the CA (or server) certificate used by your Redis server. You may also need to configure lua_ssl_verify_depth accordingly.
username string: Username to use for Redis connections. If undefined, ACL authentication won't be performed. This requires Redis v6.0.0+. To be compatible with Redis v5.x.y, you can set it to default.

cluster_max_redirections float: Maximum retry attempts for redirection.
cluster_nodes Sequence[GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNode]: Cluster addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Cluster. The minimum length of the array is 1 element.
connect_timeout float: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
connection_is_proxied bool: If the connection to Redis is proxied (e.g. Envoy), set it true. Set the host and port to point to the proxy address.
database float: Database to use for the Redis connection when using the redis strategy
host str: A string representing a host name, such as example.com.
keepalive_backlog float: Limits the total number of opened connections for a pool. If the connection pool is full, connection queues above the limit go into the backlog queue. If the backlog queue is full, subsequent connect operations fail and return nil. Queued operations (subject to set timeouts) resume once the number of connections in the pool is less than keepalive_pool_size. If latency is high or throughput is low, try increasing this value. Empirically, this value is larger than keepalive_pool_size.
keepalive_pool_size float: The size limit for every cosocket connection pool associated with every remote server, per worker process. If neither keepalive_pool_size nor keepalive_backlog is specified, no pool is created. If keepalive_pool_size isn't specified but keepalive_backlog is specified, then the pool uses the default value. Try to increase (e.g. 512) this value if latency is high or throughput is low.
password str: Password to use for Redis connections. If undefined, no AUTH commands are sent to Redis.
port float: An integer representing a port number between 0 and 65535, inclusive.
read_timeout float: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
send_timeout float: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
sentinel_master str: Sentinel master to use for Redis connections. Defining this value implies using Redis Sentinel.
sentinel_nodes Sequence[GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNode]: Sentinel node addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Sentinel. The minimum length of the array is 1 element.
sentinel_password str: Sentinel password to authenticate with a Redis Sentinel instance. If undefined, no AUTH commands are sent to Redis Sentinels.
sentinel_role str: Sentinel role to use for Redis connections when the redis strategy is defined. Defining this value implies using Redis Sentinel. must be one of ["any", "master", "slave"]
sentinel_username str: Sentinel username to authenticate with a Redis Sentinel instance. If undefined, ACL authentication won't be performed. This requires Redis v6.2.0+.
server_name str: A string representing an SNI (server name indication) value for TLS.
ssl bool: If set to true, uses SSL to connect to Redis.
ssl_verify bool: If set to true, verifies the validity of the server SSL certificate. If setting this parameter, also configure lua_ssl_trusted_certificate in kong.conf to specify the CA (or server) certificate used by your Redis server. You may also need to configure lua_ssl_verify_depth accordingly.
username str: Username to use for Redis connections. If undefined, ACL authentication won't be performed. This requires Redis v6.0.0+. To be compatible with Redis v5.x.y, you can set it to default.

clusterMaxRedirections Number: Maximum retry attempts for redirection.
clusterNodes List<Property Map>: Cluster addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Cluster. The minimum length of the array is 1 element.
connectTimeout Number: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
connectionIsProxied Boolean: If the connection to Redis is proxied (e.g. Envoy), set it true. Set the host and port to point to the proxy address.
database Number: Database to use for the Redis connection when using the redis strategy
host String: A string representing a host name, such as example.com.
keepaliveBacklog Number: Limits the total number of opened connections for a pool. If the connection pool is full, connection queues above the limit go into the backlog queue. If the backlog queue is full, subsequent connect operations fail and return nil. Queued operations (subject to set timeouts) resume once the number of connections in the pool is less than keepalive_pool_size. If latency is high or throughput is low, try increasing this value. Empirically, this value is larger than keepalive_pool_size.
keepalivePoolSize Number: The size limit for every cosocket connection pool associated with every remote server, per worker process. If neither keepalive_pool_size nor keepalive_backlog is specified, no pool is created. If keepalive_pool_size isn't specified but keepalive_backlog is specified, then the pool uses the default value. Try to increase (e.g. 512) this value if latency is high or throughput is low.
password String: Password to use for Redis connections. If undefined, no AUTH commands are sent to Redis.
port Number: An integer representing a port number between 0 and 65535, inclusive.
readTimeout Number: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
sendTimeout Number: An integer representing a timeout in milliseconds. Must be between 0 and 2^31-2.
sentinelMaster String: Sentinel master to use for Redis connections. Defining this value implies using Redis Sentinel.
sentinelNodes List<Property Map>: Sentinel node addresses to use for Redis connections when the redis strategy is defined. Defining this field implies using a Redis Sentinel. The minimum length of the array is 1 element.
sentinelPassword String: Sentinel password to authenticate with a Redis Sentinel instance. If undefined, no AUTH commands are sent to Redis Sentinels.
sentinelRole String: Sentinel role to use for Redis connections when the redis strategy is defined. Defining this value implies using Redis Sentinel. must be one of ["any", "master", "slave"]
sentinelUsername String: Sentinel username to authenticate with a Redis Sentinel instance. If undefined, ACL authentication won't be performed. This requires Redis v6.2.0+.
serverName String: A string representing an SNI (server name indication) value for TLS.
ssl Boolean: If set to true, uses SSL to connect to Redis.
sslVerify Boolean: If set to true, verifies the validity of the server SSL certificate. If setting this parameter, also configure lua_ssl_trusted_certificate in kong.conf to specify the CA (or server) certificate used by your Redis server. You may also need to configure lua_ssl_verify_depth accordingly.
username String: Username to use for Redis connections. If undefined, ACL authentication won't be performed. This requires Redis v6.0.0+. To be compatible with Redis v5.x.y, you can set it to default.

GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNode, GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNodeArgs

Ip string: A string representing a host name, such as example.com.
Port double: An integer representing a port number between 0 and 65535, inclusive.

Ip string: A string representing a host name, such as example.com.
Port float64: An integer representing a port number between 0 and 65535, inclusive.

ip String: A string representing a host name, such as example.com.
port Double: An integer representing a port number between 0 and 65535, inclusive.

ip string: A string representing a host name, such as example.com.
port number: An integer representing a port number between 0 and 65535, inclusive.

ip str: A string representing a host name, such as example.com.
port float: An integer representing a port number between 0 and 65535, inclusive.

ip String: A string representing a host name, such as example.com.
port Number: An integer representing a port number between 0 and 65535, inclusive.

GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNode, GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNodeArgs

Host string: A string representing a host name, such as example.com.
Port double: An integer representing a port number between 0 and 65535, inclusive.

Host string: A string representing a host name, such as example.com.
Port float64: An integer representing a port number between 0 and 65535, inclusive.

host String: A string representing a host name, such as example.com.
port Double: An integer representing a port number between 0 and 65535, inclusive.

host string: A string representing a host name, such as example.com.
port number: An integer representing a port number between 0 and 65535, inclusive.

host str: A string representing a host name, such as example.com.
port float: An integer representing a port number between 0 and 65535, inclusive.

host String: A string representing a host name, such as example.com.
port Number: An integer representing a port number between 0 and 65535, inclusive.

GatewayPluginAiSemanticPromptGuardConsumer, GatewayPluginAiSemanticPromptGuardConsumerArgs

Id string

Id string

id String

id string

id str

id String

GatewayPluginAiSemanticPromptGuardConsumerGroup, GatewayPluginAiSemanticPromptGuardConsumerGroupArgs

Id string

Id string

id String

id string

id str

id String

GatewayPluginAiSemanticPromptGuardOrdering, GatewayPluginAiSemanticPromptGuardOrderingArgs

After GatewayPluginAiSemanticPromptGuardOrderingAfter
Before GatewayPluginAiSemanticPromptGuardOrderingBefore

After GatewayPluginAiSemanticPromptGuardOrderingAfter
Before GatewayPluginAiSemanticPromptGuardOrderingBefore

after GatewayPluginAiSemanticPromptGuardOrderingAfter
before GatewayPluginAiSemanticPromptGuardOrderingBefore

after GatewayPluginAiSemanticPromptGuardOrderingAfter
before GatewayPluginAiSemanticPromptGuardOrderingBefore

after GatewayPluginAiSemanticPromptGuardOrderingAfter
before GatewayPluginAiSemanticPromptGuardOrderingBefore

after Property Map
before Property Map

GatewayPluginAiSemanticPromptGuardOrderingAfter, GatewayPluginAiSemanticPromptGuardOrderingAfterArgs

Accesses List<string>

Accesses []string

accesses List<String>

accesses string[]

accesses Sequence[str]

accesses List<String>

GatewayPluginAiSemanticPromptGuardOrderingBefore, GatewayPluginAiSemanticPromptGuardOrderingBeforeArgs

Accesses List<string>

Accesses []string

accesses List<String>

accesses string[]

accesses Sequence[str]

accesses List<String>

GatewayPluginAiSemanticPromptGuardRoute, GatewayPluginAiSemanticPromptGuardRouteArgs

Id string

Id string

id String

id string

id str

id String

GatewayPluginAiSemanticPromptGuardService, GatewayPluginAiSemanticPromptGuardServiceArgs

Id string

Id string

id String

id string

id str

id String

Import

$ pulumi import konnect:index/gatewayPluginAiSemanticPromptGuard:GatewayPluginAiSemanticPromptGuard my_konnect_gateway_plugin_ai_semantic_prompt_guard "{ \"control_plane_id\": \"9524ec7d-36d9-465d-a8c5-83a3c9390458\", \"id\": \"3473c251-5b6c-4f45-b1ff-7ede735a366d\"}"

To learn more about importing existing cloud resources, see Importing resources.

Package Details

Repository: konnect kong/terraform-provider-konnect
License
Notes: This Pulumi package is based on the konnect Terraform Provider.

konnect 2.7.1 published on Thursday, May 1, 2025 by kong

kong/terraform-provider-konnect

konnect.GatewayPluginAiSemanticPromptGuard

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Example Usage

Create GatewayPluginAiSemanticPromptGuard Resource

Constructor syntax

Parameters

Constructor example

GatewayPluginAiSemanticPromptGuard Resource Properties

Inputs

Outputs

Look up Existing GatewayPluginAiSemanticPromptGuard Resource

Supporting Types

GatewayPluginAiSemanticPromptGuardConfig, GatewayPluginAiSemanticPromptGuardConfigArgs

GatewayPluginAiSemanticPromptGuardConfigEmbeddings, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsArgs

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuth, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsAuthArgs

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModel, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelArgs

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptions, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsArgs

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzure, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsAzureArgs

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrock, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsBedrockArgs

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGemini, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsGeminiArgs

GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingface, GatewayPluginAiSemanticPromptGuardConfigEmbeddingsModelOptionsHuggingfaceArgs

GatewayPluginAiSemanticPromptGuardConfigRules, GatewayPluginAiSemanticPromptGuardConfigRulesArgs

GatewayPluginAiSemanticPromptGuardConfigSearch, GatewayPluginAiSemanticPromptGuardConfigSearchArgs

GatewayPluginAiSemanticPromptGuardConfigVectordb, GatewayPluginAiSemanticPromptGuardConfigVectordbArgs

GatewayPluginAiSemanticPromptGuardConfigVectordbPgvector, GatewayPluginAiSemanticPromptGuardConfigVectordbPgvectorArgs

GatewayPluginAiSemanticPromptGuardConfigVectordbRedis, GatewayPluginAiSemanticPromptGuardConfigVectordbRedisArgs

GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNode, GatewayPluginAiSemanticPromptGuardConfigVectordbRedisClusterNodeArgs

GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNode, GatewayPluginAiSemanticPromptGuardConfigVectordbRedisSentinelNodeArgs

GatewayPluginAiSemanticPromptGuardConsumer, GatewayPluginAiSemanticPromptGuardConsumerArgs

GatewayPluginAiSemanticPromptGuardConsumerGroup, GatewayPluginAiSemanticPromptGuardConsumerGroupArgs

GatewayPluginAiSemanticPromptGuardOrdering, GatewayPluginAiSemanticPromptGuardOrderingArgs

GatewayPluginAiSemanticPromptGuardOrderingAfter, GatewayPluginAiSemanticPromptGuardOrderingAfterArgs

GatewayPluginAiSemanticPromptGuardOrderingBefore, GatewayPluginAiSemanticPromptGuardOrderingBeforeArgs

GatewayPluginAiSemanticPromptGuardRoute, GatewayPluginAiSemanticPromptGuardRouteArgs

GatewayPluginAiSemanticPromptGuardService, GatewayPluginAiSemanticPromptGuardServiceArgs

Import

Package Details

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