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  6. AiReasoningEngineIamPolicy
Viewing docs for Google Cloud v9.23.0
published on Thursday, May 7, 2026 by Pulumi
Schema (JSON)
pulumi/pulumi-gcp

gcp.vertex.AiReasoningEngineIamPolicy

gcp logo
Viewing docs for Google Cloud v9.23.0
published on Thursday, May 7, 2026 by Pulumi
Schema (JSON)
pulumi/pulumi-gcp

    Three different resources help you manage your IAM policy for Vertex AI ReasoningEngine. Each of these resources serves a different use case:

    • gcp.vertex.AiReasoningEngineIamPolicy: Authoritative. Sets the IAM policy for the reasoningengine and replaces any existing policy already attached.
    • gcp.vertex.AiReasoningEngineIamBinding: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the reasoningengine are preserved.
    • gcp.vertex.AiReasoningEngineIamMember: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the reasoningengine are preserved.

    A data source can be used to retrieve policy data in advent you do not need creation

    • gcp.vertex.AiReasoningEngineIamPolicy: Retrieves the IAM policy for the reasoningengine

    Note: gcp.vertex.AiReasoningEngineIamPolicy cannot be used in conjunction with gcp.vertex.AiReasoningEngineIamBinding and gcp.vertex.AiReasoningEngineIamMember or they will fight over what your policy should be.

    Note: gcp.vertex.AiReasoningEngineIamBinding resources can be used in conjunction with gcp.vertex.AiReasoningEngineIamMember resources only if they do not grant privilege to the same role.

    gcp.vertex.AiReasoningEngineIamPolicy

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

const admin = gcp.organizations.getIAMPolicy({
    bindings: [{
        role: "roles/viewer",
        members: ["user:jane@example.com"],
    }],
});
const policy = new gcp.vertex.AiReasoningEngineIamPolicy("policy", {
    project: reasoningEngine.project,
    region: reasoningEngine.region,
    reasoningEngine: reasoningEngine.name,
    policyData: admin.then(admin => admin.policyData),
});

    import pulumi
import pulumi_gcp as gcp

admin = gcp.organizations.get_iam_policy(bindings=[{
    "role": "roles/viewer",
    "members": ["user:jane@example.com"],
}])
policy = gcp.vertex.AiReasoningEngineIamPolicy("policy",
    project=reasoning_engine["project"],
    region=reasoning_engine["region"],
    reasoning_engine=reasoning_engine["name"],
    policy_data=admin.policy_data)

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/organizations"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		admin, err := organizations.LookupIAMPolicy(ctx, &organizations.LookupIAMPolicyArgs{
			Bindings: []organizations.GetIAMPolicyBinding{
				{
					Role: "roles/viewer",
					Members: []string{
						"user:jane@example.com",
					},
				},
			},
		}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiReasoningEngineIamPolicy(ctx, "policy", &vertex.AiReasoningEngineIamPolicyArgs{
			Project:         pulumi.Any(reasoningEngine.Project),
			Region:          pulumi.Any(reasoningEngine.Region),
			ReasoningEngine: pulumi.Any(reasoningEngine.Name),
			PolicyData:      pulumi.String(pulumi.String(admin.PolicyData)),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var admin = Gcp.Organizations.GetIAMPolicy.Invoke(new()
    {
        Bindings = new[]
        {
            new Gcp.Organizations.Inputs.GetIAMPolicyBindingInputArgs
            {
                Role = "roles/viewer",
                Members = new[]
                {
                    "user:jane@example.com",
                },
            },
        },
    });

    var policy = new Gcp.Vertex.AiReasoningEngineIamPolicy("policy", new()
    {
        Project = reasoningEngine.Project,
        Region = reasoningEngine.Region,
        ReasoningEngine = reasoningEngine.Name,
        PolicyData = admin.Apply(getIAMPolicyResult => getIAMPolicyResult.PolicyData),
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetIAMPolicyArgs;
import com.pulumi.gcp.vertex.AiReasoningEngineIamPolicy;
import com.pulumi.gcp.vertex.AiReasoningEngineIamPolicyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

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

    public static void stack(Context ctx) {
        final var admin = OrganizationsFunctions.getIAMPolicy(GetIAMPolicyArgs.builder()
            .bindings(GetIAMPolicyBindingArgs.builder()
                .role("roles/viewer")
                .members("user:jane@example.com")
                .build())
            .build());

        var policy = new AiReasoningEngineIamPolicy("policy", AiReasoningEngineIamPolicyArgs.builder()
            .project(reasoningEngine.project())
            .region(reasoningEngine.region())
            .reasoningEngine(reasoningEngine.name())
            .policyData(admin.policyData())
            .build());

    }
}

    resources:
  policy:
    type: gcp:vertex:AiReasoningEngineIamPolicy
    properties:
      project: ${reasoningEngine.project}
      region: ${reasoningEngine.region}
      reasoningEngine: ${reasoningEngine.name}
      policyData: ${admin.policyData}
variables:
  admin:
    fn::invoke:
      function: gcp:organizations:getIAMPolicy
      arguments:
        bindings:
          - role: roles/viewer
            members:
              - user:jane@example.com

    Example coming soon!

    gcp.vertex.AiReasoningEngineIamBinding

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

const binding = new gcp.vertex.AiReasoningEngineIamBinding("binding", {
    project: reasoningEngine.project,
    region: reasoningEngine.region,
    reasoningEngine: reasoningEngine.name,
    role: "roles/viewer",
    members: ["user:jane@example.com"],
});

    import pulumi
import pulumi_gcp as gcp

binding = gcp.vertex.AiReasoningEngineIamBinding("binding",
    project=reasoning_engine["project"],
    region=reasoning_engine["region"],
    reasoning_engine=reasoning_engine["name"],
    role="roles/viewer",
    members=["user:jane@example.com"])

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiReasoningEngineIamBinding(ctx, "binding", &vertex.AiReasoningEngineIamBindingArgs{
			Project:         pulumi.Any(reasoningEngine.Project),
			Region:          pulumi.Any(reasoningEngine.Region),
			ReasoningEngine: pulumi.Any(reasoningEngine.Name),
			Role:            pulumi.String("roles/viewer"),
			Members: pulumi.StringArray{
				pulumi.String("user:jane@example.com"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var binding = new Gcp.Vertex.AiReasoningEngineIamBinding("binding", new()
    {
        Project = reasoningEngine.Project,
        Region = reasoningEngine.Region,
        ReasoningEngine = reasoningEngine.Name,
        Role = "roles/viewer",
        Members = new[]
        {
            "user:jane@example.com",
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiReasoningEngineIamBinding;
import com.pulumi.gcp.vertex.AiReasoningEngineIamBindingArgs;
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 binding = new AiReasoningEngineIamBinding("binding", AiReasoningEngineIamBindingArgs.builder()
            .project(reasoningEngine.project())
            .region(reasoningEngine.region())
            .reasoningEngine(reasoningEngine.name())
            .role("roles/viewer")
            .members("user:jane@example.com")
            .build());

    }
}

    resources:
  binding:
    type: gcp:vertex:AiReasoningEngineIamBinding
    properties:
      project: ${reasoningEngine.project}
      region: ${reasoningEngine.region}
      reasoningEngine: ${reasoningEngine.name}
      role: roles/viewer
      members:
        - user:jane@example.com

    Example coming soon!

    gcp.vertex.AiReasoningEngineIamMember

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

const member = new gcp.vertex.AiReasoningEngineIamMember("member", {
    project: reasoningEngine.project,
    region: reasoningEngine.region,
    reasoningEngine: reasoningEngine.name,
    role: "roles/viewer",
    member: "user:jane@example.com",
});

    import pulumi
import pulumi_gcp as gcp

member = gcp.vertex.AiReasoningEngineIamMember("member",
    project=reasoning_engine["project"],
    region=reasoning_engine["region"],
    reasoning_engine=reasoning_engine["name"],
    role="roles/viewer",
    member="user:jane@example.com")

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiReasoningEngineIamMember(ctx, "member", &vertex.AiReasoningEngineIamMemberArgs{
			Project:         pulumi.Any(reasoningEngine.Project),
			Region:          pulumi.Any(reasoningEngine.Region),
			ReasoningEngine: pulumi.Any(reasoningEngine.Name),
			Role:            pulumi.String("roles/viewer"),
			Member:          pulumi.String("user:jane@example.com"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var member = new Gcp.Vertex.AiReasoningEngineIamMember("member", new()
    {
        Project = reasoningEngine.Project,
        Region = reasoningEngine.Region,
        ReasoningEngine = reasoningEngine.Name,
        Role = "roles/viewer",
        Member = "user:jane@example.com",
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiReasoningEngineIamMember;
import com.pulumi.gcp.vertex.AiReasoningEngineIamMemberArgs;
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 member = new AiReasoningEngineIamMember("member", AiReasoningEngineIamMemberArgs.builder()
            .project(reasoningEngine.project())
            .region(reasoningEngine.region())
            .reasoningEngine(reasoningEngine.name())
            .role("roles/viewer")
            .member("user:jane@example.com")
            .build());

    }
}

    resources:
  member:
    type: gcp:vertex:AiReasoningEngineIamMember
    properties:
      project: ${reasoningEngine.project}
      region: ${reasoningEngine.region}
      reasoningEngine: ${reasoningEngine.name}
      role: roles/viewer
      member: user:jane@example.com

    Example coming soon!

    This resource supports User Project Overrides.

    IAM policy for Vertex AI ReasoningEngine

    Three different resources help you manage your IAM policy for Vertex AI ReasoningEngine. Each of these resources serves a different use case:

    • gcp.vertex.AiReasoningEngineIamPolicy: Authoritative. Sets the IAM policy for the reasoningengine and replaces any existing policy already attached.
    • gcp.vertex.AiReasoningEngineIamBinding: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the reasoningengine are preserved.
    • gcp.vertex.AiReasoningEngineIamMember: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the reasoningengine are preserved.

    A data source can be used to retrieve policy data in advent you do not need creation

    • gcp.vertex.AiReasoningEngineIamPolicy: Retrieves the IAM policy for the reasoningengine

    Note: gcp.vertex.AiReasoningEngineIamPolicy cannot be used in conjunction with gcp.vertex.AiReasoningEngineIamBinding and gcp.vertex.AiReasoningEngineIamMember or they will fight over what your policy should be.

    Note: gcp.vertex.AiReasoningEngineIamBinding resources can be used in conjunction with gcp.vertex.AiReasoningEngineIamMember resources only if they do not grant privilege to the same role.

    gcp.vertex.AiReasoningEngineIamPolicy

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

const admin = gcp.organizations.getIAMPolicy({
    bindings: [{
        role: "roles/viewer",
        members: ["user:jane@example.com"],
    }],
});
const policy = new gcp.vertex.AiReasoningEngineIamPolicy("policy", {
    project: reasoningEngine.project,
    region: reasoningEngine.region,
    reasoningEngine: reasoningEngine.name,
    policyData: admin.then(admin => admin.policyData),
});

    import pulumi
import pulumi_gcp as gcp

admin = gcp.organizations.get_iam_policy(bindings=[{
    "role": "roles/viewer",
    "members": ["user:jane@example.com"],
}])
policy = gcp.vertex.AiReasoningEngineIamPolicy("policy",
    project=reasoning_engine["project"],
    region=reasoning_engine["region"],
    reasoning_engine=reasoning_engine["name"],
    policy_data=admin.policy_data)

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/organizations"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		admin, err := organizations.LookupIAMPolicy(ctx, &organizations.LookupIAMPolicyArgs{
			Bindings: []organizations.GetIAMPolicyBinding{
				{
					Role: "roles/viewer",
					Members: []string{
						"user:jane@example.com",
					},
				},
			},
		}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiReasoningEngineIamPolicy(ctx, "policy", &vertex.AiReasoningEngineIamPolicyArgs{
			Project:         pulumi.Any(reasoningEngine.Project),
			Region:          pulumi.Any(reasoningEngine.Region),
			ReasoningEngine: pulumi.Any(reasoningEngine.Name),
			PolicyData:      pulumi.String(pulumi.String(admin.PolicyData)),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var admin = Gcp.Organizations.GetIAMPolicy.Invoke(new()
    {
        Bindings = new[]
        {
            new Gcp.Organizations.Inputs.GetIAMPolicyBindingInputArgs
            {
                Role = "roles/viewer",
                Members = new[]
                {
                    "user:jane@example.com",
                },
            },
        },
    });

    var policy = new Gcp.Vertex.AiReasoningEngineIamPolicy("policy", new()
    {
        Project = reasoningEngine.Project,
        Region = reasoningEngine.Region,
        ReasoningEngine = reasoningEngine.Name,
        PolicyData = admin.Apply(getIAMPolicyResult => getIAMPolicyResult.PolicyData),
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetIAMPolicyArgs;
import com.pulumi.gcp.vertex.AiReasoningEngineIamPolicy;
import com.pulumi.gcp.vertex.AiReasoningEngineIamPolicyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

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

    public static void stack(Context ctx) {
        final var admin = OrganizationsFunctions.getIAMPolicy(GetIAMPolicyArgs.builder()
            .bindings(GetIAMPolicyBindingArgs.builder()
                .role("roles/viewer")
                .members("user:jane@example.com")
                .build())
            .build());

        var policy = new AiReasoningEngineIamPolicy("policy", AiReasoningEngineIamPolicyArgs.builder()
            .project(reasoningEngine.project())
            .region(reasoningEngine.region())
            .reasoningEngine(reasoningEngine.name())
            .policyData(admin.policyData())
            .build());

    }
}

    resources:
  policy:
    type: gcp:vertex:AiReasoningEngineIamPolicy
    properties:
      project: ${reasoningEngine.project}
      region: ${reasoningEngine.region}
      reasoningEngine: ${reasoningEngine.name}
      policyData: ${admin.policyData}
variables:
  admin:
    fn::invoke:
      function: gcp:organizations:getIAMPolicy
      arguments:
        bindings:
          - role: roles/viewer
            members:
              - user:jane@example.com

    Example coming soon!

    gcp.vertex.AiReasoningEngineIamBinding

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

const binding = new gcp.vertex.AiReasoningEngineIamBinding("binding", {
    project: reasoningEngine.project,
    region: reasoningEngine.region,
    reasoningEngine: reasoningEngine.name,
    role: "roles/viewer",
    members: ["user:jane@example.com"],
});

    import pulumi
import pulumi_gcp as gcp

binding = gcp.vertex.AiReasoningEngineIamBinding("binding",
    project=reasoning_engine["project"],
    region=reasoning_engine["region"],
    reasoning_engine=reasoning_engine["name"],
    role="roles/viewer",
    members=["user:jane@example.com"])

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiReasoningEngineIamBinding(ctx, "binding", &vertex.AiReasoningEngineIamBindingArgs{
			Project:         pulumi.Any(reasoningEngine.Project),
			Region:          pulumi.Any(reasoningEngine.Region),
			ReasoningEngine: pulumi.Any(reasoningEngine.Name),
			Role:            pulumi.String("roles/viewer"),
			Members: pulumi.StringArray{
				pulumi.String("user:jane@example.com"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var binding = new Gcp.Vertex.AiReasoningEngineIamBinding("binding", new()
    {
        Project = reasoningEngine.Project,
        Region = reasoningEngine.Region,
        ReasoningEngine = reasoningEngine.Name,
        Role = "roles/viewer",
        Members = new[]
        {
            "user:jane@example.com",
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiReasoningEngineIamBinding;
import com.pulumi.gcp.vertex.AiReasoningEngineIamBindingArgs;
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 binding = new AiReasoningEngineIamBinding("binding", AiReasoningEngineIamBindingArgs.builder()
            .project(reasoningEngine.project())
            .region(reasoningEngine.region())
            .reasoningEngine(reasoningEngine.name())
            .role("roles/viewer")
            .members("user:jane@example.com")
            .build());

    }
}

    resources:
  binding:
    type: gcp:vertex:AiReasoningEngineIamBinding
    properties:
      project: ${reasoningEngine.project}
      region: ${reasoningEngine.region}
      reasoningEngine: ${reasoningEngine.name}
      role: roles/viewer
      members:
        - user:jane@example.com

    Example coming soon!

    gcp.vertex.AiReasoningEngineIamMember

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

const member = new gcp.vertex.AiReasoningEngineIamMember("member", {
    project: reasoningEngine.project,
    region: reasoningEngine.region,
    reasoningEngine: reasoningEngine.name,
    role: "roles/viewer",
    member: "user:jane@example.com",
});

    import pulumi
import pulumi_gcp as gcp

member = gcp.vertex.AiReasoningEngineIamMember("member",
    project=reasoning_engine["project"],
    region=reasoning_engine["region"],
    reasoning_engine=reasoning_engine["name"],
    role="roles/viewer",
    member="user:jane@example.com")

    package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiReasoningEngineIamMember(ctx, "member", &vertex.AiReasoningEngineIamMemberArgs{
			Project:         pulumi.Any(reasoningEngine.Project),
			Region:          pulumi.Any(reasoningEngine.Region),
			ReasoningEngine: pulumi.Any(reasoningEngine.Name),
			Role:            pulumi.String("roles/viewer"),
			Member:          pulumi.String("user:jane@example.com"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var member = new Gcp.Vertex.AiReasoningEngineIamMember("member", new()
    {
        Project = reasoningEngine.Project,
        Region = reasoningEngine.Region,
        ReasoningEngine = reasoningEngine.Name,
        Role = "roles/viewer",
        Member = "user:jane@example.com",
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiReasoningEngineIamMember;
import com.pulumi.gcp.vertex.AiReasoningEngineIamMemberArgs;
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 member = new AiReasoningEngineIamMember("member", AiReasoningEngineIamMemberArgs.builder()
            .project(reasoningEngine.project())
            .region(reasoningEngine.region())
            .reasoningEngine(reasoningEngine.name())
            .role("roles/viewer")
            .member("user:jane@example.com")
            .build());

    }
}

    resources:
  member:
    type: gcp:vertex:AiReasoningEngineIamMember
    properties:
      project: ${reasoningEngine.project}
      region: ${reasoningEngine.region}
      reasoningEngine: ${reasoningEngine.name}
      role: roles/viewer
      member: user:jane@example.com

    Example coming soon!

    Create AiReasoningEngineIamPolicy Resource

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

    Constructor syntax

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

@overload
def AiReasoningEngineIamPolicy(resource_name: str,
                               opts: Optional[ResourceOptions] = None,
                               policy_data: Optional[str] = None,
                               reasoning_engine: Optional[str] = None,
                               project: Optional[str] = None,
                               region: Optional[str] = None)
    func NewAiReasoningEngineIamPolicy(ctx *Context, name string, args AiReasoningEngineIamPolicyArgs, opts ...ResourceOption) (*AiReasoningEngineIamPolicy, error)
    public AiReasoningEngineIamPolicy(string name, AiReasoningEngineIamPolicyArgs args, CustomResourceOptions? opts = null)
    public AiReasoningEngineIamPolicy(String name, AiReasoningEngineIamPolicyArgs args)
public AiReasoningEngineIamPolicy(String name, AiReasoningEngineIamPolicyArgs args, CustomResourceOptions options)

    type: gcp:vertex:AiReasoningEngineIamPolicy
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.


    resource "gcp_vertex_aireasoningengineiampolicy" "name" {
    # resource properties
}

    Parameters

    name string
    The unique name of the resource.
    args AiReasoningEngineIamPolicyArgs
    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 AiReasoningEngineIamPolicyArgs
    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 AiReasoningEngineIamPolicyArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AiReasoningEngineIamPolicyArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AiReasoningEngineIamPolicyArgs
    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 aiReasoningEngineIamPolicyResource = new Gcp.Vertex.AiReasoningEngineIamPolicy("aiReasoningEngineIamPolicyResource", new()
{
    PolicyData = "string",
    ReasoningEngine = "string",
    Project = "string",
    Region = "string",
});

    example, err := vertex.NewAiReasoningEngineIamPolicy(ctx, "aiReasoningEngineIamPolicyResource", &vertex.AiReasoningEngineIamPolicyArgs{
	PolicyData:      pulumi.String("string"),
	ReasoningEngine: pulumi.String("string"),
	Project:         pulumi.String("string"),
	Region:          pulumi.String("string"),
})

    resource "gcp_vertex_aireasoningengineiampolicy" "aiReasoningEngineIamPolicyResource" {
  policy_data      = "string"
  reasoning_engine = "string"
  project          = "string"
  region           = "string"
}

    var aiReasoningEngineIamPolicyResource = new AiReasoningEngineIamPolicy("aiReasoningEngineIamPolicyResource", AiReasoningEngineIamPolicyArgs.builder()
    .policyData("string")
    .reasoningEngine("string")
    .project("string")
    .region("string")
    .build());

    ai_reasoning_engine_iam_policy_resource = gcp.vertex.AiReasoningEngineIamPolicy("aiReasoningEngineIamPolicyResource",
    policy_data="string",
    reasoning_engine="string",
    project="string",
    region="string")

    const aiReasoningEngineIamPolicyResource = new gcp.vertex.AiReasoningEngineIamPolicy("aiReasoningEngineIamPolicyResource", {
    policyData: "string",
    reasoningEngine: "string",
    project: "string",
    region: "string",
});

    type: gcp:vertex:AiReasoningEngineIamPolicy
properties:
    policyData: string
    project: string
    reasoningEngine: string
    region: string

    AiReasoningEngineIamPolicy 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 AiReasoningEngineIamPolicy resource accepts the following input properties:

    PolicyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    ReasoningEngine string
    Used to find the parent resource to bind the IAM policy to
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    Region string
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    PolicyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    ReasoningEngine string
    Used to find the parent resource to bind the IAM policy to
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    Region string
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    policy_data string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    reasoning_engine string
    Used to find the parent resource to bind the IAM policy to
    project string
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    region string
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    policyData String
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    reasoningEngine String
    Used to find the parent resource to bind the IAM policy to
    project String
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    region String
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    policyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    reasoningEngine string
    Used to find the parent resource to bind the IAM policy to
    project string
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    region string
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    policy_data str
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    reasoning_engine str
    Used to find the parent resource to bind the IAM policy to
    project str
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    region str
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    policyData String
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    reasoningEngine String
    Used to find the parent resource to bind the IAM policy to
    project String
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    region String
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

    Outputs

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

    Etag string
    (Computed) The etag of the IAM policy.
    Id string
    The provider-assigned unique ID for this managed resource.
    Etag string
    (Computed) The etag of the IAM policy.
    Id string
    The provider-assigned unique ID for this managed resource.
    etag string
    (Computed) The etag of the IAM policy.
    id string
    The provider-assigned unique ID for this managed resource.
    etag String
    (Computed) The etag of the IAM policy.
    id String
    The provider-assigned unique ID for this managed resource.
    etag string
    (Computed) The etag of the IAM policy.
    id string
    The provider-assigned unique ID for this managed resource.
    etag str
    (Computed) The etag of the IAM policy.
    id str
    The provider-assigned unique ID for this managed resource.
    etag String
    (Computed) The etag of the IAM policy.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing AiReasoningEngineIamPolicy Resource

    Get an existing AiReasoningEngineIamPolicy 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?: AiReasoningEngineIamPolicyState, opts?: CustomResourceOptions): AiReasoningEngineIamPolicy
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        etag: Optional[str] = None,
        policy_data: Optional[str] = None,
        project: Optional[str] = None,
        reasoning_engine: Optional[str] = None,
        region: Optional[str] = None) -> AiReasoningEngineIamPolicy
    func GetAiReasoningEngineIamPolicy(ctx *Context, name string, id IDInput, state *AiReasoningEngineIamPolicyState, opts ...ResourceOption) (*AiReasoningEngineIamPolicy, error)
    public static AiReasoningEngineIamPolicy Get(string name, Input<string> id, AiReasoningEngineIamPolicyState? state, CustomResourceOptions? opts = null)
    public static AiReasoningEngineIamPolicy get(String name, Output<String> id, AiReasoningEngineIamPolicyState state, CustomResourceOptions options)
    resources:  _:    type: gcp:vertex:AiReasoningEngineIamPolicy    get:      id: ${id}
    import {
  to = gcp_vertex_aireasoningengineiampolicy.example
  id = "${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:
    Etag string
    (Computed) The etag of the IAM policy.
    PolicyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    ReasoningEngine string
    Used to find the parent resource to bind the IAM policy to
    Region string
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    Etag string
    (Computed) The etag of the IAM policy.
    PolicyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    ReasoningEngine string
    Used to find the parent resource to bind the IAM policy to
    Region string
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    etag string
    (Computed) The etag of the IAM policy.
    policy_data string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    project string
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    reasoning_engine string
    Used to find the parent resource to bind the IAM policy to
    region string
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    etag String
    (Computed) The etag of the IAM policy.
    policyData String
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    project String
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    reasoningEngine String
    Used to find the parent resource to bind the IAM policy to
    region String
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    etag string
    (Computed) The etag of the IAM policy.
    policyData string
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    project string
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    reasoningEngine string
    Used to find the parent resource to bind the IAM policy to
    region string
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    etag str
    (Computed) The etag of the IAM policy.
    policy_data str
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    project str
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    reasoning_engine str
    Used to find the parent resource to bind the IAM policy to
    region str
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.
    etag String
    (Computed) The etag of the IAM policy.
    policyData String
    The policy data generated by a gcp.organizations.getIAMPolicy data source.
    project String
    The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
    reasoningEngine String
    Used to find the parent resource to bind the IAM policy to
    region String
    The region of the reasoning engine. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

    Import

    For all import syntaxes, the “resource in question” can take any of the following forms:

    • projects/{{project}}/locations/{{region}}/reasoningEngines/{{name}}
    • {{project}}/{{region}}/{{name}}
    • {{region}}/{{name}}
    • {{name}}

    Any variables not passed in the import command will be taken from the provider configuration.

    Vertex AI reasoningengine IAM resources can be imported using the resource identifiers, role, and member.

    IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

    $ terraform import google_vertex_ai_reasoning_engine_iam_member.editor "projects/{{project}}/locations/{{region}}/reasoningEngines/{{reasoning_engine}} roles/viewer user:jane@example.com"

    IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

    $ terraform import google_vertex_ai_reasoning_engine_iam_binding.editor "projects/{{project}}/locations/{{region}}/reasoningEngines/{{reasoning_engine}} roles/viewer"

    IAM policy imports use the identifier of the resource in question, e.g.

    $ pulumi import gcp:vertex/aiReasoningEngineIamPolicy:AiReasoningEngineIamPolicy editor projects/{{project}}/locations/{{region}}/reasoningEngines/{{reasoning_engine}}

    Custom Roles If you’re importing a IAM resource with a custom role, make sure to use the full name of the custom role, e.g. [projects/my-project|organizations/my-org]/roles/my-custom-role.

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

    Package Details

    Repository
    Google Cloud (GCP) Classic pulumi/pulumi-gcp
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the google-beta Terraform Provider.
    gcp logo
    Viewing docs for Google Cloud v9.23.0
    published on Thursday, May 7, 2026 by Pulumi
    Schema (JSON)
    pulumi/pulumi-gcp
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