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konnect 2.4.1 published on Thursday, Mar 13, 2025 by kong
kong/terraform-provider-konnect

konnect.GatewayPluginAiRequestTransformer

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konnect 2.4.1 published on Thursday, Mar 13, 2025 by kong
kong/terraform-provider-konnect

    GatewayPluginAiRequestTransformer Resource

    Example Usage

    Coming soon!

    Coming soon!

    Coming soon!

    Coming soon!

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.konnect.GatewayPluginAiRequestTransformer;
import com.pulumi.konnect.GatewayPluginAiRequestTransformerArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigLlmArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigLlmAuthArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigLlmLoggingArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigLlmModelArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigLlmModelOptionsArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrockArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigLlmModelOptionsGeminiArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingfaceArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerConsumerGroupArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerOrderingArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerOrderingAfterArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerOrderingBeforeArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerRouteArgs;
import com.pulumi.konnect.inputs.GatewayPluginAiRequestTransformerServiceArgs;
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 myGatewaypluginairequesttransformer = new GatewayPluginAiRequestTransformer("myGatewaypluginairequesttransformer", GatewayPluginAiRequestTransformerArgs.builder()
            .config(GatewayPluginAiRequestTransformerConfigArgs.builder()
                .http_proxy_host("...my_http_proxy_host...")
                .http_proxy_port(19860)
                .http_timeout(10)
                .https_proxy_host("...my_https_proxy_host...")
                .https_proxy_port(20590)
                .https_verify(false)
                .llm(GatewayPluginAiRequestTransformerConfigLlmArgs.builder()
                    .auth(GatewayPluginAiRequestTransformerConfigLlmAuthArgs.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())
                    .logging(GatewayPluginAiRequestTransformerConfigLlmLoggingArgs.builder()
                        .logPayloads(false)
                        .logStatistics(false)
                        .build())
                    .model(GatewayPluginAiRequestTransformerConfigLlmModelArgs.builder()
                        .name("...my_name...")
                        .options(GatewayPluginAiRequestTransformerConfigLlmModelOptionsArgs.builder()
                            .anthropicVersion("...my_anthropic_version...")
                            .azureApiVersion("...my_azure_api_version...")
                            .azureDeploymentId("...my_azure_deployment_id...")
                            .azureInstance("...my_azure_instance...")
                            .bedrock(GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrockArgs.builder()
                                .awsRegion("...my_aws_region...")
                                .build())
                            .gemini(GatewayPluginAiRequestTransformerConfigLlmModelOptionsGeminiArgs.builder()
                                .apiEndpoint("...my_api_endpoint...")
                                .locationId("...my_location_id...")
                                .projectId("...my_project_id...")
                                .build())
                            .huggingface(GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingfaceArgs.builder()
                                .useCache(false)
                                .waitForModel(true)
                                .build())
                            .inputCost(6.37)
                            .llama2Format("ollama")
                            .maxTokens(5)
                            .mistralFormat("ollama")
                            .outputCost(8.25)
                            .temperature(0.7)
                            .topK(420)
                            .topP(0.54)
                            .upstreamPath("...my_upstream_path...")
                            .upstreamUrl("...my_upstream_url...")
                            .build())
                        .provider("mistral")
                        .build())
                    .routeType("preserve")
                    .build())
                .max_request_body_size(7)
                .prompt("...my_prompt...")
                .transformation_extract_pattern("...my_transformation_extract_pattern...")
                .build())
            .consumerGroup(GatewayPluginAiRequestTransformerConsumerGroupArgs.builder()
                .id("...my_id...")
                .build())
            .controlPlaneId("9524ec7d-36d9-465d-a8c5-83a3c9390458")
            .enabled(true)
            .gatewayPluginAiRequestTransformerId("...my_id...")
            .instanceName("...my_instance_name...")
            .ordering(GatewayPluginAiRequestTransformerOrderingArgs.builder()
                .after(GatewayPluginAiRequestTransformerOrderingAfterArgs.builder()
                    .access("...")
                    .build())
                .before(GatewayPluginAiRequestTransformerOrderingBeforeArgs.builder()
                    .access("...")
                    .build())
                .build())
            .protocols("http")
            .route(GatewayPluginAiRequestTransformerRouteArgs.builder()
                .id("...my_id...")
                .build())
            .service(GatewayPluginAiRequestTransformerServiceArgs.builder()
                .id("...my_id...")
                .build())
            .tags("...")
            .build());

    }
}

    resources:
  myGatewaypluginairequesttransformer:
    type: konnect:GatewayPluginAiRequestTransformer
    properties:
      config:
        http_proxy_host: '...my_http_proxy_host...'
        http_proxy_port: 19860
        http_timeout: 10
        https_proxy_host: '...my_https_proxy_host...'
        https_proxy_port: 20590
        https_verify: false
        llm:
          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...'
          logging:
            logPayloads: false
            logStatistics: false
          model:
            name: '...my_name...'
            options:
              anthropicVersion: '...my_anthropic_version...'
              azureApiVersion: '...my_azure_api_version...'
              azureDeploymentId: '...my_azure_deployment_id...'
              azureInstance: '...my_azure_instance...'
              bedrock:
                awsRegion: '...my_aws_region...'
              gemini:
                apiEndpoint: '...my_api_endpoint...'
                locationId: '...my_location_id...'
                projectId: '...my_project_id...'
              huggingface:
                useCache: false
                waitForModel: true
              inputCost: 6.37
              llama2Format: ollama
              maxTokens: 5
              mistralFormat: ollama
              outputCost: 8.25
              temperature: 0.7
              topK: 420
              topP: 0.54
              upstreamPath: '...my_upstream_path...'
              upstreamUrl: '...my_upstream_url...'
            provider: mistral
          routeType: preserve
        max_request_body_size: 7
        prompt: '...my_prompt...'
        transformation_extract_pattern: '...my_transformation_extract_pattern...'
      consumerGroup:
        id: '...my_id...'
      controlPlaneId: 9524ec7d-36d9-465d-a8c5-83a3c9390458
      enabled: true
      gatewayPluginAiRequestTransformerId: '...my_id...'
      instanceName: '...my_instance_name...'
      ordering:
        after:
          access:
            - '...'
        before:
          access:
            - '...'
      protocols:
        - http
      route:
        id: '...my_id...'
      service:
        id: '...my_id...'
      tags:
        - '...'

    Create GatewayPluginAiRequestTransformer Resource

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

    Constructor syntax

    new GatewayPluginAiRequestTransformer(name: string, args: GatewayPluginAiRequestTransformerArgs, opts?: CustomResourceOptions);
    @overload
def GatewayPluginAiRequestTransformer(resource_name: str,
                                      args: GatewayPluginAiRequestTransformerArgs,
                                      opts: Optional[ResourceOptions] = None)

@overload
def GatewayPluginAiRequestTransformer(resource_name: str,
                                      opts: Optional[ResourceOptions] = None,
                                      config: Optional[GatewayPluginAiRequestTransformerConfigArgs] = None,
                                      control_plane_id: Optional[str] = None,
                                      consumer_group: Optional[GatewayPluginAiRequestTransformerConsumerGroupArgs] = None,
                                      enabled: Optional[bool] = None,
                                      gateway_plugin_ai_request_transformer_id: Optional[str] = None,
                                      instance_name: Optional[str] = None,
                                      ordering: Optional[GatewayPluginAiRequestTransformerOrderingArgs] = None,
                                      protocols: Optional[Sequence[str]] = None,
                                      route: Optional[GatewayPluginAiRequestTransformerRouteArgs] = None,
                                      service: Optional[GatewayPluginAiRequestTransformerServiceArgs] = None,
                                      tags: Optional[Sequence[str]] = None)
    func NewGatewayPluginAiRequestTransformer(ctx *Context, name string, args GatewayPluginAiRequestTransformerArgs, opts ...ResourceOption) (*GatewayPluginAiRequestTransformer, error)
    public GatewayPluginAiRequestTransformer(string name, GatewayPluginAiRequestTransformerArgs args, CustomResourceOptions? opts = null)
    public GatewayPluginAiRequestTransformer(String name, GatewayPluginAiRequestTransformerArgs args)
public GatewayPluginAiRequestTransformer(String name, GatewayPluginAiRequestTransformerArgs args, CustomResourceOptions options)

    type: konnect:GatewayPluginAiRequestTransformer
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 GatewayPluginAiRequestTransformerArgs
    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 GatewayPluginAiRequestTransformerArgs
    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 GatewayPluginAiRequestTransformerArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args GatewayPluginAiRequestTransformerArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args GatewayPluginAiRequestTransformerArgs
    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 gatewayPluginAiRequestTransformerResource = new Konnect.GatewayPluginAiRequestTransformer("gatewayPluginAiRequestTransformerResource", new()
{
    Config = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigArgs
    {
        HttpProxyHost = "string",
        HttpProxyPort = 0,
        HttpTimeout = 0,
        HttpsProxyHost = "string",
        HttpsProxyPort = 0,
        HttpsVerify = false,
        Llm = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigLlmArgs
        {
            Auth = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigLlmAuthArgs
            {
                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",
            },
            Logging = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigLlmLoggingArgs
            {
                LogPayloads = false,
                LogStatistics = false,
            },
            Model = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigLlmModelArgs
            {
                Name = "string",
                Options = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigLlmModelOptionsArgs
                {
                    AnthropicVersion = "string",
                    AzureApiVersion = "string",
                    AzureDeploymentId = "string",
                    AzureInstance = "string",
                    Bedrock = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrockArgs
                    {
                        AwsRegion = "string",
                    },
                    Gemini = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigLlmModelOptionsGeminiArgs
                    {
                        ApiEndpoint = "string",
                        LocationId = "string",
                        ProjectId = "string",
                    },
                    Huggingface = new Konnect.Inputs.GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingfaceArgs
                    {
                        UseCache = false,
                        WaitForModel = false,
                    },
                    InputCost = 0,
                    Llama2Format = "string",
                    MaxTokens = 0,
                    MistralFormat = "string",
                    OutputCost = 0,
                    Temperature = 0,
                    TopK = 0,
                    TopP = 0,
                    UpstreamPath = "string",
                    UpstreamUrl = "string",
                },
                Provider = "string",
            },
            RouteType = "string",
        },
        MaxRequestBodySize = 0,
        Prompt = "string",
        TransformationExtractPattern = "string",
    },
    ControlPlaneId = "string",
    ConsumerGroup = new Konnect.Inputs.GatewayPluginAiRequestTransformerConsumerGroupArgs
    {
        Id = "string",
    },
    Enabled = false,
    GatewayPluginAiRequestTransformerId = "string",
    InstanceName = "string",
    Ordering = new Konnect.Inputs.GatewayPluginAiRequestTransformerOrderingArgs
    {
        After = new Konnect.Inputs.GatewayPluginAiRequestTransformerOrderingAfterArgs
        {
            Accesses = new[]
            {
                "string",
            },
        },
        Before = new Konnect.Inputs.GatewayPluginAiRequestTransformerOrderingBeforeArgs
        {
            Accesses = new[]
            {
                "string",
            },
        },
    },
    Protocols = new[]
    {
        "string",
    },
    Route = new Konnect.Inputs.GatewayPluginAiRequestTransformerRouteArgs
    {
        Id = "string",
    },
    Service = new Konnect.Inputs.GatewayPluginAiRequestTransformerServiceArgs
    {
        Id = "string",
    },
    Tags = new[]
    {
        "string",
    },
});

    example, err := konnect.NewGatewayPluginAiRequestTransformer(ctx, "gatewayPluginAiRequestTransformerResource", &konnect.GatewayPluginAiRequestTransformerArgs{
Config: &.GatewayPluginAiRequestTransformerConfigArgs{
HttpProxyHost: pulumi.String("string"),
HttpProxyPort: pulumi.Float64(0),
HttpTimeout: pulumi.Float64(0),
HttpsProxyHost: pulumi.String("string"),
HttpsProxyPort: pulumi.Float64(0),
HttpsVerify: pulumi.Bool(false),
Llm: &.GatewayPluginAiRequestTransformerConfigLlmArgs{
Auth: &.GatewayPluginAiRequestTransformerConfigLlmAuthArgs{
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"),
},
Logging: &.GatewayPluginAiRequestTransformerConfigLlmLoggingArgs{
LogPayloads: pulumi.Bool(false),
LogStatistics: pulumi.Bool(false),
},
Model: &.GatewayPluginAiRequestTransformerConfigLlmModelArgs{
Name: pulumi.String("string"),
Options: &.GatewayPluginAiRequestTransformerConfigLlmModelOptionsArgs{
AnthropicVersion: pulumi.String("string"),
AzureApiVersion: pulumi.String("string"),
AzureDeploymentId: pulumi.String("string"),
AzureInstance: pulumi.String("string"),
Bedrock: &.GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrockArgs{
AwsRegion: pulumi.String("string"),
},
Gemini: &.GatewayPluginAiRequestTransformerConfigLlmModelOptionsGeminiArgs{
ApiEndpoint: pulumi.String("string"),
LocationId: pulumi.String("string"),
ProjectId: pulumi.String("string"),
},
Huggingface: &.GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingfaceArgs{
UseCache: pulumi.Bool(false),
WaitForModel: pulumi.Bool(false),
},
InputCost: pulumi.Float64(0),
Llama2Format: pulumi.String("string"),
MaxTokens: pulumi.Float64(0),
MistralFormat: pulumi.String("string"),
OutputCost: pulumi.Float64(0),
Temperature: pulumi.Float64(0),
TopK: pulumi.Float64(0),
TopP: pulumi.Float64(0),
UpstreamPath: pulumi.String("string"),
UpstreamUrl: pulumi.String("string"),
},
Provider: pulumi.String("string"),
},
RouteType: pulumi.String("string"),
},
MaxRequestBodySize: pulumi.Float64(0),
Prompt: pulumi.String("string"),
TransformationExtractPattern: pulumi.String("string"),
},
ControlPlaneId: pulumi.String("string"),
ConsumerGroup: &.GatewayPluginAiRequestTransformerConsumerGroupArgs{
Id: pulumi.String("string"),
},
Enabled: pulumi.Bool(false),
GatewayPluginAiRequestTransformerId: pulumi.String("string"),
InstanceName: pulumi.String("string"),
Ordering: &.GatewayPluginAiRequestTransformerOrderingArgs{
After: &.GatewayPluginAiRequestTransformerOrderingAfterArgs{
Accesses: pulumi.StringArray{
pulumi.String("string"),
},
},
Before: &.GatewayPluginAiRequestTransformerOrderingBeforeArgs{
Accesses: pulumi.StringArray{
pulumi.String("string"),
},
},
},
Protocols: pulumi.StringArray{
pulumi.String("string"),
},
Route: &.GatewayPluginAiRequestTransformerRouteArgs{
Id: pulumi.String("string"),
},
Service: &.GatewayPluginAiRequestTransformerServiceArgs{
Id: pulumi.String("string"),
},
Tags: pulumi.StringArray{
pulumi.String("string"),
},
})

    var gatewayPluginAiRequestTransformerResource = new GatewayPluginAiRequestTransformer("gatewayPluginAiRequestTransformerResource", GatewayPluginAiRequestTransformerArgs.builder()
    .config(GatewayPluginAiRequestTransformerConfigArgs.builder()
        .httpProxyHost("string")
        .httpProxyPort(0)
        .httpTimeout(0)
        .httpsProxyHost("string")
        .httpsProxyPort(0)
        .httpsVerify(false)
        .llm(GatewayPluginAiRequestTransformerConfigLlmArgs.builder()
            .auth(GatewayPluginAiRequestTransformerConfigLlmAuthArgs.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())
            .logging(GatewayPluginAiRequestTransformerConfigLlmLoggingArgs.builder()
                .logPayloads(false)
                .logStatistics(false)
                .build())
            .model(GatewayPluginAiRequestTransformerConfigLlmModelArgs.builder()
                .name("string")
                .options(GatewayPluginAiRequestTransformerConfigLlmModelOptionsArgs.builder()
                    .anthropicVersion("string")
                    .azureApiVersion("string")
                    .azureDeploymentId("string")
                    .azureInstance("string")
                    .bedrock(GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrockArgs.builder()
                        .awsRegion("string")
                        .build())
                    .gemini(GatewayPluginAiRequestTransformerConfigLlmModelOptionsGeminiArgs.builder()
                        .apiEndpoint("string")
                        .locationId("string")
                        .projectId("string")
                        .build())
                    .huggingface(GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingfaceArgs.builder()
                        .useCache(false)
                        .waitForModel(false)
                        .build())
                    .inputCost(0)
                    .llama2Format("string")
                    .maxTokens(0)
                    .mistralFormat("string")
                    .outputCost(0)
                    .temperature(0)
                    .topK(0)
                    .topP(0)
                    .upstreamPath("string")
                    .upstreamUrl("string")
                    .build())
                .provider("string")
                .build())
            .routeType("string")
            .build())
        .maxRequestBodySize(0)
        .prompt("string")
        .transformationExtractPattern("string")
        .build())
    .controlPlaneId("string")
    .consumerGroup(GatewayPluginAiRequestTransformerConsumerGroupArgs.builder()
        .id("string")
        .build())
    .enabled(false)
    .gatewayPluginAiRequestTransformerId("string")
    .instanceName("string")
    .ordering(GatewayPluginAiRequestTransformerOrderingArgs.builder()
        .after(GatewayPluginAiRequestTransformerOrderingAfterArgs.builder()
            .accesses("string")
            .build())
        .before(GatewayPluginAiRequestTransformerOrderingBeforeArgs.builder()
            .accesses("string")
            .build())
        .build())
    .protocols("string")
    .route(GatewayPluginAiRequestTransformerRouteArgs.builder()
        .id("string")
        .build())
    .service(GatewayPluginAiRequestTransformerServiceArgs.builder()
        .id("string")
        .build())
    .tags("string")
    .build());

    gateway_plugin_ai_request_transformer_resource = konnect.GatewayPluginAiRequestTransformer("gatewayPluginAiRequestTransformerResource",
    config={
        "http_proxy_host": "string",
        "http_proxy_port": 0,
        "http_timeout": 0,
        "https_proxy_host": "string",
        "https_proxy_port": 0,
        "https_verify": False,
        "llm": {
            "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",
            },
            "logging": {
                "log_payloads": False,
                "log_statistics": False,
            },
            "model": {
                "name": "string",
                "options": {
                    "anthropic_version": "string",
                    "azure_api_version": "string",
                    "azure_deployment_id": "string",
                    "azure_instance": "string",
                    "bedrock": {
                        "aws_region": "string",
                    },
                    "gemini": {
                        "api_endpoint": "string",
                        "location_id": "string",
                        "project_id": "string",
                    },
                    "huggingface": {
                        "use_cache": False,
                        "wait_for_model": False,
                    },
                    "input_cost": 0,
                    "llama2_format": "string",
                    "max_tokens": 0,
                    "mistral_format": "string",
                    "output_cost": 0,
                    "temperature": 0,
                    "top_k": 0,
                    "top_p": 0,
                    "upstream_path": "string",
                    "upstream_url": "string",
                },
                "provider": "string",
            },
            "route_type": "string",
        },
        "max_request_body_size": 0,
        "prompt": "string",
        "transformation_extract_pattern": "string",
    },
    control_plane_id="string",
    consumer_group={
        "id": "string",
    },
    enabled=False,
    gateway_plugin_ai_request_transformer_id="string",
    instance_name="string",
    ordering={
        "after": {
            "accesses": ["string"],
        },
        "before": {
            "accesses": ["string"],
        },
    },
    protocols=["string"],
    route={
        "id": "string",
    },
    service={
        "id": "string",
    },
    tags=["string"])

    const gatewayPluginAiRequestTransformerResource = new konnect.GatewayPluginAiRequestTransformer("gatewayPluginAiRequestTransformerResource", {
    config: {
        httpProxyHost: "string",
        httpProxyPort: 0,
        httpTimeout: 0,
        httpsProxyHost: "string",
        httpsProxyPort: 0,
        httpsVerify: false,
        llm: {
            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",
            },
            logging: {
                logPayloads: false,
                logStatistics: false,
            },
            model: {
                name: "string",
                options: {
                    anthropicVersion: "string",
                    azureApiVersion: "string",
                    azureDeploymentId: "string",
                    azureInstance: "string",
                    bedrock: {
                        awsRegion: "string",
                    },
                    gemini: {
                        apiEndpoint: "string",
                        locationId: "string",
                        projectId: "string",
                    },
                    huggingface: {
                        useCache: false,
                        waitForModel: false,
                    },
                    inputCost: 0,
                    llama2Format: "string",
                    maxTokens: 0,
                    mistralFormat: "string",
                    outputCost: 0,
                    temperature: 0,
                    topK: 0,
                    topP: 0,
                    upstreamPath: "string",
                    upstreamUrl: "string",
                },
                provider: "string",
            },
            routeType: "string",
        },
        maxRequestBodySize: 0,
        prompt: "string",
        transformationExtractPattern: "string",
    },
    controlPlaneId: "string",
    consumerGroup: {
        id: "string",
    },
    enabled: false,
    gatewayPluginAiRequestTransformerId: "string",
    instanceName: "string",
    ordering: {
        after: {
            accesses: ["string"],
        },
        before: {
            accesses: ["string"],
        },
    },
    protocols: ["string"],
    route: {
        id: "string",
    },
    service: {
        id: "string",
    },
    tags: ["string"],
});

    type: konnect:GatewayPluginAiRequestTransformer
properties:
    config:
        httpProxyHost: string
        httpProxyPort: 0
        httpTimeout: 0
        httpsProxyHost: string
        httpsProxyPort: 0
        httpsVerify: false
        llm:
            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
            logging:
                logPayloads: false
                logStatistics: false
            model:
                name: string
                options:
                    anthropicVersion: string
                    azureApiVersion: string
                    azureDeploymentId: string
                    azureInstance: string
                    bedrock:
                        awsRegion: string
                    gemini:
                        apiEndpoint: string
                        locationId: string
                        projectId: string
                    huggingface:
                        useCache: false
                        waitForModel: false
                    inputCost: 0
                    llama2Format: string
                    maxTokens: 0
                    mistralFormat: string
                    outputCost: 0
                    temperature: 0
                    topK: 0
                    topP: 0
                    upstreamPath: string
                    upstreamUrl: string
                provider: string
            routeType: string
        maxRequestBodySize: 0
        prompt: string
        transformationExtractPattern: string
    consumerGroup:
        id: string
    controlPlaneId: string
    enabled: false
    gatewayPluginAiRequestTransformerId: string
    instanceName: string
    ordering:
        after:
            accesses:
                - string
        before:
            accesses:
                - string
    protocols:
        - string
    route:
        id: string
    service:
        id: string
    tags:
        - string

    GatewayPluginAiRequestTransformer 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 GatewayPluginAiRequestTransformer resource accepts the following input properties:

    Config GatewayPluginAiRequestTransformerConfig
    ControlPlaneId string
    The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
    ConsumerGroup GatewayPluginAiRequestTransformerConsumerGroup
    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
    Enabled bool
    Whether the plugin is applied.
    GatewayPluginAiRequestTransformerId string
    The ID of this resource.
    InstanceName string
    Ordering GatewayPluginAiRequestTransformerOrdering
    Protocols List<string>
    A set of strings representing HTTP protocols.
    Route GatewayPluginAiRequestTransformerRoute
    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 GatewayPluginAiRequestTransformerService
    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.
    Config GatewayPluginAiRequestTransformerConfigArgs
    ControlPlaneId string
    The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
    ConsumerGroup GatewayPluginAiRequestTransformerConsumerGroupArgs
    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
    Enabled bool
    Whether the plugin is applied.
    GatewayPluginAiRequestTransformerId string
    The ID of this resource.
    InstanceName string
    Ordering GatewayPluginAiRequestTransformerOrderingArgs
    Protocols []string
    A set of strings representing HTTP protocols.
    Route GatewayPluginAiRequestTransformerRouteArgs
    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 GatewayPluginAiRequestTransformerServiceArgs
    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.
    config GatewayPluginAiRequestTransformerConfig
    controlPlaneId String
    The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
    consumerGroup GatewayPluginAiRequestTransformerConsumerGroup
    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
    enabled Boolean
    Whether the plugin is applied.
    gatewayPluginAiRequestTransformerId String
    The ID of this resource.
    instanceName String
    ordering GatewayPluginAiRequestTransformerOrdering
    protocols List<String>
    A set of strings representing HTTP protocols.
    route GatewayPluginAiRequestTransformerRoute
    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 GatewayPluginAiRequestTransformerService
    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.
    config GatewayPluginAiRequestTransformerConfig
    controlPlaneId string
    The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
    consumerGroup GatewayPluginAiRequestTransformerConsumerGroup
    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
    enabled boolean
    Whether the plugin is applied.
    gatewayPluginAiRequestTransformerId string
    The ID of this resource.
    instanceName string
    ordering GatewayPluginAiRequestTransformerOrdering
    protocols string[]
    A set of strings representing HTTP protocols.
    route GatewayPluginAiRequestTransformerRoute
    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 GatewayPluginAiRequestTransformerService
    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.
    config GatewayPluginAiRequestTransformerConfigArgs
    control_plane_id str
    The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
    consumer_group GatewayPluginAiRequestTransformerConsumerGroupArgs
    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
    enabled bool
    Whether the plugin is applied.
    gateway_plugin_ai_request_transformer_id str
    The ID of this resource.
    instance_name str
    ordering GatewayPluginAiRequestTransformerOrderingArgs
    protocols Sequence[str]
    A set of strings representing HTTP protocols.
    route GatewayPluginAiRequestTransformerRouteArgs
    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 GatewayPluginAiRequestTransformerServiceArgs
    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.
    config Property Map
    controlPlaneId String
    The UUID of your control plane. This variable is available in the Konnect manager. Requires replacement if changed.
    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
    enabled Boolean
    Whether the plugin is applied.
    gatewayPluginAiRequestTransformerId 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.

    Outputs

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

    CreatedAt double
    Unix epoch when the resource was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    UpdatedAt double
    Unix epoch when the resource was last updated.
    CreatedAt float64
    Unix epoch when the resource was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    UpdatedAt float64
    Unix epoch when the resource was last updated.
    createdAt Double
    Unix epoch when the resource was created.
    id String
    The provider-assigned unique ID for this managed resource.
    updatedAt Double
    Unix epoch when the resource was last updated.
    createdAt number
    Unix epoch when the resource was created.
    id string
    The provider-assigned unique ID for this managed resource.
    updatedAt number
    Unix epoch when the resource was last updated.
    created_at float
    Unix epoch when the resource was created.
    id str
    The provider-assigned unique ID for this managed resource.
    updated_at float
    Unix epoch when the resource was last updated.
    createdAt Number
    Unix epoch when the resource was created.
    id String
    The provider-assigned unique ID for this managed resource.
    updatedAt Number
    Unix epoch when the resource was last updated.

    Look up Existing GatewayPluginAiRequestTransformer Resource

    Get an existing GatewayPluginAiRequestTransformer 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?: GatewayPluginAiRequestTransformerState, opts?: CustomResourceOptions): GatewayPluginAiRequestTransformer
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        config: Optional[GatewayPluginAiRequestTransformerConfigArgs] = None,
        consumer_group: Optional[GatewayPluginAiRequestTransformerConsumerGroupArgs] = None,
        control_plane_id: Optional[str] = None,
        created_at: Optional[float] = None,
        enabled: Optional[bool] = None,
        gateway_plugin_ai_request_transformer_id: Optional[str] = None,
        instance_name: Optional[str] = None,
        ordering: Optional[GatewayPluginAiRequestTransformerOrderingArgs] = None,
        protocols: Optional[Sequence[str]] = None,
        route: Optional[GatewayPluginAiRequestTransformerRouteArgs] = None,
        service: Optional[GatewayPluginAiRequestTransformerServiceArgs] = None,
        tags: Optional[Sequence[str]] = None,
        updated_at: Optional[float] = None) -> GatewayPluginAiRequestTransformer
    func GetGatewayPluginAiRequestTransformer(ctx *Context, name string, id IDInput, state *GatewayPluginAiRequestTransformerState, opts ...ResourceOption) (*GatewayPluginAiRequestTransformer, error)
    public static GatewayPluginAiRequestTransformer Get(string name, Input<string> id, GatewayPluginAiRequestTransformerState? state, CustomResourceOptions? opts = null)
    public static GatewayPluginAiRequestTransformer get(String name, Output<String> id, GatewayPluginAiRequestTransformerState state, CustomResourceOptions options)
    resources:  _:    type: konnect:GatewayPluginAiRequestTransformer    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 GatewayPluginAiRequestTransformerConfig
    ConsumerGroup GatewayPluginAiRequestTransformerConsumerGroup
    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.
    GatewayPluginAiRequestTransformerId string
    The ID of this resource.
    InstanceName string
    Ordering GatewayPluginAiRequestTransformerOrdering
    Protocols List<string>
    A set of strings representing HTTP protocols.
    Route GatewayPluginAiRequestTransformerRoute
    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 GatewayPluginAiRequestTransformerService
    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 GatewayPluginAiRequestTransformerConfigArgs
    ConsumerGroup GatewayPluginAiRequestTransformerConsumerGroupArgs
    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.
    GatewayPluginAiRequestTransformerId string
    The ID of this resource.
    InstanceName string
    Ordering GatewayPluginAiRequestTransformerOrderingArgs
    Protocols []string
    A set of strings representing HTTP protocols.
    Route GatewayPluginAiRequestTransformerRouteArgs
    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 GatewayPluginAiRequestTransformerServiceArgs
    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 GatewayPluginAiRequestTransformerConfig
    consumerGroup GatewayPluginAiRequestTransformerConsumerGroup
    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.
    gatewayPluginAiRequestTransformerId String
    The ID of this resource.
    instanceName String
    ordering GatewayPluginAiRequestTransformerOrdering
    protocols List<String>
    A set of strings representing HTTP protocols.
    route GatewayPluginAiRequestTransformerRoute
    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 GatewayPluginAiRequestTransformerService
    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 GatewayPluginAiRequestTransformerConfig
    consumerGroup GatewayPluginAiRequestTransformerConsumerGroup
    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.
    gatewayPluginAiRequestTransformerId string
    The ID of this resource.
    instanceName string
    ordering GatewayPluginAiRequestTransformerOrdering
    protocols string[]
    A set of strings representing HTTP protocols.
    route GatewayPluginAiRequestTransformerRoute
    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 GatewayPluginAiRequestTransformerService
    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 GatewayPluginAiRequestTransformerConfigArgs
    consumer_group GatewayPluginAiRequestTransformerConsumerGroupArgs
    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_request_transformer_id str
    The ID of this resource.
    instance_name str
    ordering GatewayPluginAiRequestTransformerOrderingArgs
    protocols Sequence[str]
    A set of strings representing HTTP protocols.
    route GatewayPluginAiRequestTransformerRouteArgs
    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 GatewayPluginAiRequestTransformerServiceArgs
    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
    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.
    gatewayPluginAiRequestTransformerId 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

    GatewayPluginAiRequestTransformerConfig, GatewayPluginAiRequestTransformerConfigArgs

    HttpProxyHost string
    A string representing a host name, such as example.com.
    HttpProxyPort double
    An integer representing a port number between 0 and 65535, inclusive.
    HttpTimeout double
    Timeout in milliseconds for the AI upstream service.
    HttpsProxyHost string
    A string representing a host name, such as example.com.
    HttpsProxyPort double
    An integer representing a port number between 0 and 65535, inclusive.
    HttpsVerify bool
    Verify the TLS certificate of the AI upstream service.
    Llm GatewayPluginAiRequestTransformerConfigLlm
    MaxRequestBodySize double
    max allowed body size allowed to be introspected
    Prompt string
    Use this prompt to tune the LLM system/assistant message for the incoming proxy request (from the client), and what you are expecting in return.
    TransformationExtractPattern string
    Defines the regular expression that must match to indicate a successful AI transformation at the request phase. The first match will be set as the outgoing body. If the AI service's response doesn't match this pattern, it is marked as a failure.
    HttpProxyHost string
    A string representing a host name, such as example.com.
    HttpProxyPort float64
    An integer representing a port number between 0 and 65535, inclusive.
    HttpTimeout float64
    Timeout in milliseconds for the AI upstream service.
    HttpsProxyHost string
    A string representing a host name, such as example.com.
    HttpsProxyPort float64
    An integer representing a port number between 0 and 65535, inclusive.
    HttpsVerify bool
    Verify the TLS certificate of the AI upstream service.
    Llm GatewayPluginAiRequestTransformerConfigLlm
    MaxRequestBodySize float64
    max allowed body size allowed to be introspected
    Prompt string
    Use this prompt to tune the LLM system/assistant message for the incoming proxy request (from the client), and what you are expecting in return.
    TransformationExtractPattern string
    Defines the regular expression that must match to indicate a successful AI transformation at the request phase. The first match will be set as the outgoing body. If the AI service's response doesn't match this pattern, it is marked as a failure.
    httpProxyHost String
    A string representing a host name, such as example.com.
    httpProxyPort Double
    An integer representing a port number between 0 and 65535, inclusive.
    httpTimeout Double
    Timeout in milliseconds for the AI upstream service.
    httpsProxyHost String
    A string representing a host name, such as example.com.
    httpsProxyPort Double
    An integer representing a port number between 0 and 65535, inclusive.
    httpsVerify Boolean
    Verify the TLS certificate of the AI upstream service.
    llm GatewayPluginAiRequestTransformerConfigLlm
    maxRequestBodySize Double
    max allowed body size allowed to be introspected
    prompt String
    Use this prompt to tune the LLM system/assistant message for the incoming proxy request (from the client), and what you are expecting in return.
    transformationExtractPattern String
    Defines the regular expression that must match to indicate a successful AI transformation at the request phase. The first match will be set as the outgoing body. If the AI service's response doesn't match this pattern, it is marked as a failure.
    httpProxyHost string
    A string representing a host name, such as example.com.
    httpProxyPort number
    An integer representing a port number between 0 and 65535, inclusive.
    httpTimeout number
    Timeout in milliseconds for the AI upstream service.
    httpsProxyHost string
    A string representing a host name, such as example.com.
    httpsProxyPort number
    An integer representing a port number between 0 and 65535, inclusive.
    httpsVerify boolean
    Verify the TLS certificate of the AI upstream service.
    llm GatewayPluginAiRequestTransformerConfigLlm
    maxRequestBodySize number
    max allowed body size allowed to be introspected
    prompt string
    Use this prompt to tune the LLM system/assistant message for the incoming proxy request (from the client), and what you are expecting in return.
    transformationExtractPattern string
    Defines the regular expression that must match to indicate a successful AI transformation at the request phase. The first match will be set as the outgoing body. If the AI service's response doesn't match this pattern, it is marked as a failure.
    http_proxy_host str
    A string representing a host name, such as example.com.
    http_proxy_port float
    An integer representing a port number between 0 and 65535, inclusive.
    http_timeout float
    Timeout in milliseconds for the AI upstream service.
    https_proxy_host str
    A string representing a host name, such as example.com.
    https_proxy_port float
    An integer representing a port number between 0 and 65535, inclusive.
    https_verify bool
    Verify the TLS certificate of the AI upstream service.
    llm GatewayPluginAiRequestTransformerConfigLlm
    max_request_body_size float
    max allowed body size allowed to be introspected
    prompt str
    Use this prompt to tune the LLM system/assistant message for the incoming proxy request (from the client), and what you are expecting in return.
    transformation_extract_pattern str
    Defines the regular expression that must match to indicate a successful AI transformation at the request phase. The first match will be set as the outgoing body. If the AI service's response doesn't match this pattern, it is marked as a failure.
    httpProxyHost String
    A string representing a host name, such as example.com.
    httpProxyPort Number
    An integer representing a port number between 0 and 65535, inclusive.
    httpTimeout Number
    Timeout in milliseconds for the AI upstream service.
    httpsProxyHost String
    A string representing a host name, such as example.com.
    httpsProxyPort Number
    An integer representing a port number between 0 and 65535, inclusive.
    httpsVerify Boolean
    Verify the TLS certificate of the AI upstream service.
    llm Property Map
    maxRequestBodySize Number
    max allowed body size allowed to be introspected
    prompt String
    Use this prompt to tune the LLM system/assistant message for the incoming proxy request (from the client), and what you are expecting in return.
    transformationExtractPattern String
    Defines the regular expression that must match to indicate a successful AI transformation at the request phase. The first match will be set as the outgoing body. If the AI service's response doesn't match this pattern, it is marked as a failure.

    GatewayPluginAiRequestTransformerConfigLlm, GatewayPluginAiRequestTransformerConfigLlmArgs

    Auth GatewayPluginAiRequestTransformerConfigLlmAuth
    Logging GatewayPluginAiRequestTransformerConfigLlmLogging
    Model GatewayPluginAiRequestTransformerConfigLlmModel
    RouteType string
    The model's operation implementation, for this provider. Set to preserve to pass through without transformation. must be one of ["llm/v1/chat", "llm/v1/completions", "preserve"]
    Auth GatewayPluginAiRequestTransformerConfigLlmAuth
    Logging GatewayPluginAiRequestTransformerConfigLlmLogging
    Model GatewayPluginAiRequestTransformerConfigLlmModel
    RouteType string
    The model's operation implementation, for this provider. Set to preserve to pass through without transformation. must be one of ["llm/v1/chat", "llm/v1/completions", "preserve"]
    auth GatewayPluginAiRequestTransformerConfigLlmAuth
    logging GatewayPluginAiRequestTransformerConfigLlmLogging
    model GatewayPluginAiRequestTransformerConfigLlmModel
    routeType String
    The model's operation implementation, for this provider. Set to preserve to pass through without transformation. must be one of ["llm/v1/chat", "llm/v1/completions", "preserve"]
    auth GatewayPluginAiRequestTransformerConfigLlmAuth
    logging GatewayPluginAiRequestTransformerConfigLlmLogging
    model GatewayPluginAiRequestTransformerConfigLlmModel
    routeType string
    The model's operation implementation, for this provider. Set to preserve to pass through without transformation. must be one of ["llm/v1/chat", "llm/v1/completions", "preserve"]
    auth GatewayPluginAiRequestTransformerConfigLlmAuth
    logging GatewayPluginAiRequestTransformerConfigLlmLogging
    model GatewayPluginAiRequestTransformerConfigLlmModel
    route_type str
    The model's operation implementation, for this provider. Set to preserve to pass through without transformation. must be one of ["llm/v1/chat", "llm/v1/completions", "preserve"]
    auth Property Map
    logging Property Map
    model Property Map
    routeType String
    The model's operation implementation, for this provider. Set to preserve to pass through without transformation. must be one of ["llm/v1/chat", "llm/v1/completions", "preserve"]

    GatewayPluginAiRequestTransformerConfigLlmAuth, GatewayPluginAiRequestTransformerConfigLlmAuthArgs

    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'.

    GatewayPluginAiRequestTransformerConfigLlmLogging, GatewayPluginAiRequestTransformerConfigLlmLoggingArgs

    LogPayloads bool
    If enabled, will log the request and response body into the Kong log plugin(s) output.
    LogStatistics bool
    If enabled and supported by the driver, will add model usage and token metrics into the Kong log plugin(s) output.
    LogPayloads bool
    If enabled, will log the request and response body into the Kong log plugin(s) output.
    LogStatistics bool
    If enabled and supported by the driver, will add model usage and token metrics into the Kong log plugin(s) output.
    logPayloads Boolean
    If enabled, will log the request and response body into the Kong log plugin(s) output.
    logStatistics Boolean
    If enabled and supported by the driver, will add model usage and token metrics into the Kong log plugin(s) output.
    logPayloads boolean
    If enabled, will log the request and response body into the Kong log plugin(s) output.
    logStatistics boolean
    If enabled and supported by the driver, will add model usage and token metrics into the Kong log plugin(s) output.
    log_payloads bool
    If enabled, will log the request and response body into the Kong log plugin(s) output.
    log_statistics bool
    If enabled and supported by the driver, will add model usage and token metrics into the Kong log plugin(s) output.
    logPayloads Boolean
    If enabled, will log the request and response body into the Kong log plugin(s) output.
    logStatistics Boolean
    If enabled and supported by the driver, will add model usage and token metrics into the Kong log plugin(s) output.

    GatewayPluginAiRequestTransformerConfigLlmModel, GatewayPluginAiRequestTransformerConfigLlmModelArgs

    Name string
    Model name to execute.
    Options GatewayPluginAiRequestTransformerConfigLlmModelOptions
    Key/value settings for the model
    Provider string
    AI provider request format - Kong translates requests to and from the specified backend compatible formats. must be one of ["anthropic", "azure", "bedrock", "cohere", "gemini", "huggingface", "llama2", "mistral", "openai"]
    Name string
    Model name to execute.
    Options GatewayPluginAiRequestTransformerConfigLlmModelOptions
    Key/value settings for the model
    Provider string
    AI provider request format - Kong translates requests to and from the specified backend compatible formats. must be one of ["anthropic", "azure", "bedrock", "cohere", "gemini", "huggingface", "llama2", "mistral", "openai"]
    name String
    Model name to execute.
    options GatewayPluginAiRequestTransformerConfigLlmModelOptions
    Key/value settings for the model
    provider String
    AI provider request format - Kong translates requests to and from the specified backend compatible formats. must be one of ["anthropic", "azure", "bedrock", "cohere", "gemini", "huggingface", "llama2", "mistral", "openai"]
    name string
    Model name to execute.
    options GatewayPluginAiRequestTransformerConfigLlmModelOptions
    Key/value settings for the model
    provider string
    AI provider request format - Kong translates requests to and from the specified backend compatible formats. must be one of ["anthropic", "azure", "bedrock", "cohere", "gemini", "huggingface", "llama2", "mistral", "openai"]
    name str
    Model name to execute.
    options GatewayPluginAiRequestTransformerConfigLlmModelOptions
    Key/value settings for the model
    provider str
    AI provider request format - Kong translates requests to and from the specified backend compatible formats. must be one of ["anthropic", "azure", "bedrock", "cohere", "gemini", "huggingface", "llama2", "mistral", "openai"]
    name String
    Model name to execute.
    options Property Map
    Key/value settings for the model
    provider String
    AI provider request format - Kong translates requests to and from the specified backend compatible formats. must be one of ["anthropic", "azure", "bedrock", "cohere", "gemini", "huggingface", "llama2", "mistral", "openai"]

    GatewayPluginAiRequestTransformerConfigLlmModelOptions, GatewayPluginAiRequestTransformerConfigLlmModelOptionsArgs

    AnthropicVersion string
    Defines the schema/API version, if using Anthropic provider.
    AzureApiVersion string
    'api-version' for Azure OpenAI instances.
    AzureDeploymentId string
    Deployment ID for Azure OpenAI instances.
    AzureInstance string
    Instance name for Azure OpenAI hosted models.
    Bedrock GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrock
    Gemini GatewayPluginAiRequestTransformerConfigLlmModelOptionsGemini
    Huggingface GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingface
    InputCost double
    Defines the cost per 1M tokens in your prompt.
    Llama2Format string
    If using llama2 provider, select the upstream message format. must be one of ["ollama", "openai", "raw"]
    MaxTokens double
    Defines the max_tokens, if using chat or completion models.
    MistralFormat string
    If using mistral provider, select the upstream message format. must be one of ["ollama", "openai"]
    OutputCost double
    Defines the cost per 1M tokens in the output of the AI.
    Temperature double
    Defines the matching temperature, if using chat or completion models.
    TopK double
    Defines the top-k most likely tokens, if supported.
    TopP double
    Defines the top-p probability mass, if supported.
    UpstreamPath string
    Manually specify or override the AI operation path, used when e.g. using the 'preserve' route_type.
    UpstreamUrl string
    Manually specify or override the full URL to the AI operation endpoints, when calling (self-)hosted models, or for running via a private endpoint.
    AnthropicVersion string
    Defines the schema/API version, if using Anthropic provider.
    AzureApiVersion string
    'api-version' for Azure OpenAI instances.
    AzureDeploymentId string
    Deployment ID for Azure OpenAI instances.
    AzureInstance string
    Instance name for Azure OpenAI hosted models.
    Bedrock GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrock
    Gemini GatewayPluginAiRequestTransformerConfigLlmModelOptionsGemini
    Huggingface GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingface
    InputCost float64
    Defines the cost per 1M tokens in your prompt.
    Llama2Format string
    If using llama2 provider, select the upstream message format. must be one of ["ollama", "openai", "raw"]
    MaxTokens float64
    Defines the max_tokens, if using chat or completion models.
    MistralFormat string
    If using mistral provider, select the upstream message format. must be one of ["ollama", "openai"]
    OutputCost float64
    Defines the cost per 1M tokens in the output of the AI.
    Temperature float64
    Defines the matching temperature, if using chat or completion models.
    TopK float64
    Defines the top-k most likely tokens, if supported.
    TopP float64
    Defines the top-p probability mass, if supported.
    UpstreamPath string
    Manually specify or override the AI operation path, used when e.g. using the 'preserve' route_type.
    UpstreamUrl string
    Manually specify or override the full URL to the AI operation endpoints, when calling (self-)hosted models, or for running via a private endpoint.
    anthropicVersion String
    Defines the schema/API version, if using Anthropic provider.
    azureApiVersion String
    'api-version' for Azure OpenAI instances.
    azureDeploymentId String
    Deployment ID for Azure OpenAI instances.
    azureInstance String
    Instance name for Azure OpenAI hosted models.
    bedrock GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrock
    gemini GatewayPluginAiRequestTransformerConfigLlmModelOptionsGemini
    huggingface GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingface
    inputCost Double
    Defines the cost per 1M tokens in your prompt.
    llama2Format String
    If using llama2 provider, select the upstream message format. must be one of ["ollama", "openai", "raw"]
    maxTokens Double
    Defines the max_tokens, if using chat or completion models.
    mistralFormat String
    If using mistral provider, select the upstream message format. must be one of ["ollama", "openai"]
    outputCost Double
    Defines the cost per 1M tokens in the output of the AI.
    temperature Double
    Defines the matching temperature, if using chat or completion models.
    topK Double
    Defines the top-k most likely tokens, if supported.
    topP Double
    Defines the top-p probability mass, if supported.
    upstreamPath String
    Manually specify or override the AI operation path, used when e.g. using the 'preserve' route_type.
    upstreamUrl String
    Manually specify or override the full URL to the AI operation endpoints, when calling (self-)hosted models, or for running via a private endpoint.
    anthropicVersion string
    Defines the schema/API version, if using Anthropic provider.
    azureApiVersion string
    'api-version' for Azure OpenAI instances.
    azureDeploymentId string
    Deployment ID for Azure OpenAI instances.
    azureInstance string
    Instance name for Azure OpenAI hosted models.
    bedrock GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrock
    gemini GatewayPluginAiRequestTransformerConfigLlmModelOptionsGemini
    huggingface GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingface
    inputCost number
    Defines the cost per 1M tokens in your prompt.
    llama2Format string
    If using llama2 provider, select the upstream message format. must be one of ["ollama", "openai", "raw"]
    maxTokens number
    Defines the max_tokens, if using chat or completion models.
    mistralFormat string
    If using mistral provider, select the upstream message format. must be one of ["ollama", "openai"]
    outputCost number
    Defines the cost per 1M tokens in the output of the AI.
    temperature number
    Defines the matching temperature, if using chat or completion models.
    topK number
    Defines the top-k most likely tokens, if supported.
    topP number
    Defines the top-p probability mass, if supported.
    upstreamPath string
    Manually specify or override the AI operation path, used when e.g. using the 'preserve' route_type.
    upstreamUrl string
    Manually specify or override the full URL to the AI operation endpoints, when calling (self-)hosted models, or for running via a private endpoint.
    anthropic_version str
    Defines the schema/API version, if using Anthropic provider.
    azure_api_version str
    'api-version' for Azure OpenAI instances.
    azure_deployment_id str
    Deployment ID for Azure OpenAI instances.
    azure_instance str
    Instance name for Azure OpenAI hosted models.
    bedrock GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrock
    gemini GatewayPluginAiRequestTransformerConfigLlmModelOptionsGemini
    huggingface GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingface
    input_cost float
    Defines the cost per 1M tokens in your prompt.
    llama2_format str
    If using llama2 provider, select the upstream message format. must be one of ["ollama", "openai", "raw"]
    max_tokens float
    Defines the max_tokens, if using chat or completion models.
    mistral_format str
    If using mistral provider, select the upstream message format. must be one of ["ollama", "openai"]
    output_cost float
    Defines the cost per 1M tokens in the output of the AI.
    temperature float
    Defines the matching temperature, if using chat or completion models.
    top_k float
    Defines the top-k most likely tokens, if supported.
    top_p float
    Defines the top-p probability mass, if supported.
    upstream_path str
    Manually specify or override the AI operation path, used when e.g. using the 'preserve' route_type.
    upstream_url str
    Manually specify or override the full URL to the AI operation endpoints, when calling (self-)hosted models, or for running via a private endpoint.
    anthropicVersion String
    Defines the schema/API version, if using Anthropic provider.
    azureApiVersion String
    'api-version' for Azure OpenAI instances.
    azureDeploymentId String
    Deployment ID for Azure OpenAI instances.
    azureInstance String
    Instance name for Azure OpenAI hosted models.
    bedrock Property Map
    gemini Property Map
    huggingface Property Map
    inputCost Number
    Defines the cost per 1M tokens in your prompt.
    llama2Format String
    If using llama2 provider, select the upstream message format. must be one of ["ollama", "openai", "raw"]
    maxTokens Number
    Defines the max_tokens, if using chat or completion models.
    mistralFormat String
    If using mistral provider, select the upstream message format. must be one of ["ollama", "openai"]
    outputCost Number
    Defines the cost per 1M tokens in the output of the AI.
    temperature Number
    Defines the matching temperature, if using chat or completion models.
    topK Number
    Defines the top-k most likely tokens, if supported.
    topP Number
    Defines the top-p probability mass, if supported.
    upstreamPath String
    Manually specify or override the AI operation path, used when e.g. using the 'preserve' route_type.
    upstreamUrl String
    Manually specify or override the full URL to the AI operation endpoints, when calling (self-)hosted models, or for running via a private endpoint.

    GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrock, GatewayPluginAiRequestTransformerConfigLlmModelOptionsBedrockArgs

    AwsRegion string
    If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
    AwsRegion string
    If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
    awsRegion String
    If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
    awsRegion string
    If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
    aws_region str
    If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.
    awsRegion String
    If using AWS providers (Bedrock) you can override the AWS_REGION environment variable by setting this option.

    GatewayPluginAiRequestTransformerConfigLlmModelOptionsGemini, GatewayPluginAiRequestTransformerConfigLlmModelOptionsGeminiArgs

    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.

    GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingface, GatewayPluginAiRequestTransformerConfigLlmModelOptionsHuggingfaceArgs

    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

    GatewayPluginAiRequestTransformerConsumerGroup, GatewayPluginAiRequestTransformerConsumerGroupArgs

    Id string
    Id string
    id String
    id string
    id str
    id String

    GatewayPluginAiRequestTransformerOrdering, GatewayPluginAiRequestTransformerOrderingArgs

    GatewayPluginAiRequestTransformerOrderingAfter, GatewayPluginAiRequestTransformerOrderingAfterArgs

    Accesses List<string>
    Accesses []string
    accesses List<String>
    accesses string[]
    accesses Sequence[str]
    accesses List<String>

    GatewayPluginAiRequestTransformerOrderingBefore, GatewayPluginAiRequestTransformerOrderingBeforeArgs

    Accesses List<string>
    Accesses []string
    accesses List<String>
    accesses string[]
    accesses Sequence[str]
    accesses List<String>

    GatewayPluginAiRequestTransformerRoute, GatewayPluginAiRequestTransformerRouteArgs

    Id string
    Id string
    id String
    id string
    id str
    id String

    GatewayPluginAiRequestTransformerService, GatewayPluginAiRequestTransformerServiceArgs

    Id string
    Id string
    id String
    id string
    id str
    id String

    Import

    $ pulumi import konnect:index/gatewayPluginAiRequestTransformer:GatewayPluginAiRequestTransformer my_konnect_gateway_plugin_ai_request_transformer "{ \"control_plane_id\": \"9524ec7d-36d9-465d-a8c5-83a3c9390458\", \"plugin_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 logo
    konnect 2.4.1 published on Thursday, Mar 13, 2025 by kong
    kong/terraform-provider-konnect