oci.GenerativeAi.getProject

Oracle Cloud Infrastructure v4.20.0, Jul 15 26

Viewing docs for Oracle Cloud Infrastructure v4.20.0
published on Wednesday, Jul 15, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-oci

Viewing docs for Oracle Cloud Infrastructure v4.20.0
published on Wednesday, Jul 15, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-oci

Example Usage

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

const testProject = oci.generativeai.getProject({
    projectId: testProjectOciGenerativeAiProject.id,
});

import pulumi
import pulumi_oci as oci

test_project = oci.generativeai.get_project(project_id=test_project_oci_generative_ai_project["id"])

package main

import (
	"github.com/pulumi/pulumi-oci/sdk/v4/go/oci/generativeai"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := generativeai.GetProject(ctx, &generativeai.GetProjectArgs{
			ProjectId: testProjectOciGenerativeAiProject.Id,
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var testProject = Oci.GenerativeAi.GetProject.Invoke(new()
    {
        ProjectId = testProjectOciGenerativeAiProject.Id,
    });

});

package generated_program;

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

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

    public static void stack(Context ctx) {
        final var testProject = GenerativeAiFunctions.getProject(GetProjectArgs.builder()
            .projectId(testProjectOciGenerativeAiProject.id())
            .build());

    }
}

variables:
  testProject:
    fn::invoke:
      function: oci:GenerativeAi:getProject
      arguments:
        projectId: ${testProjectOciGenerativeAiProject.id}

pulumi {
  required_providers {
    oci = {
      source = "pulumi/oci"
    }
  }
}

data "oci_generativeai_getproject" "testProject" {
  project_id = testProjectOciGenerativeAiProject.id
}

Using getProject

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

function getProject(args: GetProjectArgs, opts?: InvokeOptions): Promise<GetProjectResult>
function getProjectOutput(args: GetProjectOutputArgs, opts?: InvokeOptions): Output<GetProjectResult>

def get_project(project_id: Optional[str] = None,
                opts: Optional[InvokeOptions] = None) -> GetProjectResult
def get_project_output(project_id: pulumi.Input[Optional[str]] = None,
                opts: Optional[InvokeOptions] = None) -> Output[GetProjectResult]

func LookupProject(ctx *Context, args *LookupProjectArgs, opts ...InvokeOption) (*LookupProjectResult, error)
func LookupProjectOutput(ctx *Context, args *LookupProjectOutputArgs, opts ...InvokeOption) LookupProjectResultOutput

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

public static class GetProject 
{
    public static Task<GetProjectResult> InvokeAsync(GetProjectArgs args, InvokeOptions? opts = null)
    public static Output<GetProjectResult> Invoke(GetProjectInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetProjectResult> getProject(GetProjectArgs args, InvokeOptions options)
public static Output<GetProjectResult> getProject(GetProjectArgs args, InvokeOptions options)

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

data "oci_generative_ai_get_project" "name" {
    # arguments
}

The following arguments are supported:

ProjectId string: The OCID of the generativeAiProject.

ProjectId string: The OCID of the generativeAiProject.

project_id string: The OCID of the generativeAiProject.

projectId String: The OCID of the generativeAiProject.

projectId string: The OCID of the generativeAiProject.

project_id str: The OCID of the generativeAiProject.

projectId String: The OCID of the generativeAiProject.

getProject Result

The following output properties are available:

CompartmentId string: Owning compartment OCID for a GenerativeAiProject.
ConversationConfigs List<GetProjectConversationConfig>: Holds configuration related to conversation retention
DefinedTags Dictionary<string, string>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
Description string: An optional description of the GenerativeAiProject.
DisplayName string: A user-friendly name.
FreeformTags Dictionary<string, string>: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
Id string: An OCID that uniquely identifies a GenerativeAiProject.
LifecycleDetails string: A message describing the current state in more detail that can provide actionable information.
LongTermMemoryConfigs List<GetProjectLongTermMemoryConfig>: Configuration settings for long-term memory behavior.
ProjectId string
ShortTermMemoryOptimizationConfigs List<GetProjectShortTermMemoryOptimizationConfig>: Configuration settings for short-term memory optimization.
State string: The lifecycle state of a GenerativeAiProject.
SystemTags Dictionary<string, string>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
TimeCreated string: The date and time that the generativeAiProject was created in the format of an RFC3339 datetime string.
TimeUpdated string: The date and time that the generativeAiProject was updated in the format of an RFC3339 datetime string.

CompartmentId string: Owning compartment OCID for a GenerativeAiProject.
ConversationConfigs []GetProjectConversationConfig: Holds configuration related to conversation retention
DefinedTags map[string]string: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
Description string: An optional description of the GenerativeAiProject.
DisplayName string: A user-friendly name.
FreeformTags map[string]string: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
Id string: An OCID that uniquely identifies a GenerativeAiProject.
LifecycleDetails string: A message describing the current state in more detail that can provide actionable information.
LongTermMemoryConfigs []GetProjectLongTermMemoryConfig: Configuration settings for long-term memory behavior.
ProjectId string
ShortTermMemoryOptimizationConfigs []GetProjectShortTermMemoryOptimizationConfig: Configuration settings for short-term memory optimization.
State string: The lifecycle state of a GenerativeAiProject.
SystemTags map[string]string: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
TimeCreated string: The date and time that the generativeAiProject was created in the format of an RFC3339 datetime string.
TimeUpdated string: The date and time that the generativeAiProject was updated in the format of an RFC3339 datetime string.

compartment_id string: Owning compartment OCID for a GenerativeAiProject.
conversation_configs list(object): Holds configuration related to conversation retention
defined_tags map(string): Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description string: An optional description of the GenerativeAiProject.
display_name string: A user-friendly name.
freeform_tags map(string): Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id string: An OCID that uniquely identifies a GenerativeAiProject.
lifecycle_details string: A message describing the current state in more detail that can provide actionable information.
long_term_memory_configs list(object): Configuration settings for long-term memory behavior.
project_id string
short_term_memory_optimization_configs list(object): Configuration settings for short-term memory optimization.
state string: The lifecycle state of a GenerativeAiProject.
system_tags map(string): System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
time_created string: The date and time that the generativeAiProject was created in the format of an RFC3339 datetime string.
time_updated string: The date and time that the generativeAiProject was updated in the format of an RFC3339 datetime string.

compartmentId String: Owning compartment OCID for a GenerativeAiProject.
conversationConfigs List<GetProjectConversationConfig>: Holds configuration related to conversation retention
definedTags Map<String,String>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description String: An optional description of the GenerativeAiProject.
displayName String: A user-friendly name.
freeformTags Map<String,String>: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id String: An OCID that uniquely identifies a GenerativeAiProject.
lifecycleDetails String: A message describing the current state in more detail that can provide actionable information.
longTermMemoryConfigs List<GetProjectLongTermMemoryConfig>: Configuration settings for long-term memory behavior.
projectId String
shortTermMemoryOptimizationConfigs List<GetProjectShortTermMemoryOptimizationConfig>: Configuration settings for short-term memory optimization.
state String: The lifecycle state of a GenerativeAiProject.
systemTags Map<String,String>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated String: The date and time that the generativeAiProject was created in the format of an RFC3339 datetime string.
timeUpdated String: The date and time that the generativeAiProject was updated in the format of an RFC3339 datetime string.

compartmentId string: Owning compartment OCID for a GenerativeAiProject.
conversationConfigs GetProjectConversationConfig[]: Holds configuration related to conversation retention
definedTags {[key: string]: string}: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description string: An optional description of the GenerativeAiProject.
displayName string: A user-friendly name.
freeformTags {[key: string]: string}: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id string: An OCID that uniquely identifies a GenerativeAiProject.
lifecycleDetails string: A message describing the current state in more detail that can provide actionable information.
longTermMemoryConfigs GetProjectLongTermMemoryConfig[]: Configuration settings for long-term memory behavior.
projectId string
shortTermMemoryOptimizationConfigs GetProjectShortTermMemoryOptimizationConfig[]: Configuration settings for short-term memory optimization.
state string: The lifecycle state of a GenerativeAiProject.
systemTags {[key: string]: string}: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated string: The date and time that the generativeAiProject was created in the format of an RFC3339 datetime string.
timeUpdated string: The date and time that the generativeAiProject was updated in the format of an RFC3339 datetime string.

compartment_id str: Owning compartment OCID for a GenerativeAiProject.
conversation_configs Sequence[GetProjectConversationConfig]: Holds configuration related to conversation retention
defined_tags Mapping[str, str]: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description str: An optional description of the GenerativeAiProject.
display_name str: A user-friendly name.
freeform_tags Mapping[str, str]: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id str: An OCID that uniquely identifies a GenerativeAiProject.
lifecycle_details str: A message describing the current state in more detail that can provide actionable information.
long_term_memory_configs Sequence[GetProjectLongTermMemoryConfig]: Configuration settings for long-term memory behavior.
project_id str
short_term_memory_optimization_configs Sequence[GetProjectShortTermMemoryOptimizationConfig]: Configuration settings for short-term memory optimization.
state str: The lifecycle state of a GenerativeAiProject.
system_tags Mapping[str, str]: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
time_created str: The date and time that the generativeAiProject was created in the format of an RFC3339 datetime string.
time_updated str: The date and time that the generativeAiProject was updated in the format of an RFC3339 datetime string.

compartmentId String: Owning compartment OCID for a GenerativeAiProject.
conversationConfigs List<Property Map>: Holds configuration related to conversation retention
definedTags Map<String>: Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags. Example: {"Operations.CostCenter": "42"}
description String: An optional description of the GenerativeAiProject.
displayName String: A user-friendly name.
freeformTags Map<String>: Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags. Example: {"Department": "Finance"}
id String: An OCID that uniquely identifies a GenerativeAiProject.
lifecycleDetails String: A message describing the current state in more detail that can provide actionable information.
longTermMemoryConfigs List<Property Map>: Configuration settings for long-term memory behavior.
projectId String
shortTermMemoryOptimizationConfigs List<Property Map>: Configuration settings for short-term memory optimization.
state String: The lifecycle state of a GenerativeAiProject.
systemTags Map<String>: System tags for this resource. Each key is predefined and scoped to a namespace. Example: {"orcl-cloud.free-tier-retained": "true"}
timeCreated String: The date and time that the generativeAiProject was created in the format of an RFC3339 datetime string.
timeUpdated String: The date and time that the generativeAiProject was updated in the format of an RFC3339 datetime string.

Supporting Types

GetProjectConversationConfig

ConversationsRetentionInHours int: Retention period (in hours) for conversations. The TTL starts from the time the conversation was last updated.
ResponsesRetentionInHours int: Retention period (in hours) for responses. The TTL starts from the time the response was created.

ConversationsRetentionInHours int: Retention period (in hours) for conversations. The TTL starts from the time the conversation was last updated.
ResponsesRetentionInHours int: Retention period (in hours) for responses. The TTL starts from the time the response was created.

conversations_retention_in_hours number: Retention period (in hours) for conversations. The TTL starts from the time the conversation was last updated.
responses_retention_in_hours number: Retention period (in hours) for responses. The TTL starts from the time the response was created.

conversationsRetentionInHours Integer: Retention period (in hours) for conversations. The TTL starts from the time the conversation was last updated.
responsesRetentionInHours Integer: Retention period (in hours) for responses. The TTL starts from the time the response was created.

conversationsRetentionInHours number: Retention period (in hours) for conversations. The TTL starts from the time the conversation was last updated.
responsesRetentionInHours number: Retention period (in hours) for responses. The TTL starts from the time the response was created.

conversations_retention_in_hours int: Retention period (in hours) for conversations. The TTL starts from the time the conversation was last updated.
responses_retention_in_hours int: Retention period (in hours) for responses. The TTL starts from the time the response was created.

conversationsRetentionInHours Number: Retention period (in hours) for conversations. The TTL starts from the time the conversation was last updated.
responsesRetentionInHours Number: Retention period (in hours) for responses. The TTL starts from the time the response was created.

GetProjectLongTermMemoryConfig

StandardLongTermMemoryStrategies List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategy>: Standard strategy settings for long-term memory.

StandardLongTermMemoryStrategies []GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategy: Standard strategy settings for long-term memory.

standard_long_term_memory_strategies list(object): Standard strategy settings for long-term memory.

standardLongTermMemoryStrategies List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategy>: Standard strategy settings for long-term memory.

standardLongTermMemoryStrategies GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategy[]: Standard strategy settings for long-term memory.

standard_long_term_memory_strategies Sequence[GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategy]: Standard strategy settings for long-term memory.

standardLongTermMemoryStrategies List<Property Map>: Standard strategy settings for long-term memory.

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategy

EmbeddingConfigs List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfig>: Configuration for generating embeddings from extracted information.
ExtractionConfigs List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfig>: Configuration for information extraction from conversation content.
IsEnabled bool: Indicates whether short-term memory optimization is enabled.

EmbeddingConfigs []GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfig: Configuration for generating embeddings from extracted information.
ExtractionConfigs []GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfig: Configuration for information extraction from conversation content.
IsEnabled bool: Indicates whether short-term memory optimization is enabled.

embedding_configs list(object): Configuration for generating embeddings from extracted information.
extraction_configs list(object): Configuration for information extraction from conversation content.
is_enabled bool: Indicates whether short-term memory optimization is enabled.

embeddingConfigs List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfig>: Configuration for generating embeddings from extracted information.
extractionConfigs List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfig>: Configuration for information extraction from conversation content.
isEnabled Boolean: Indicates whether short-term memory optimization is enabled.

embeddingConfigs GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfig[]: Configuration for generating embeddings from extracted information.
extractionConfigs GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfig[]: Configuration for information extraction from conversation content.
isEnabled boolean: Indicates whether short-term memory optimization is enabled.

embedding_configs Sequence[GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfig]: Configuration for generating embeddings from extracted information.
extraction_configs Sequence[GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfig]: Configuration for information extraction from conversation content.
is_enabled bool: Indicates whether short-term memory optimization is enabled.

embeddingConfigs List<Property Map>: Configuration for generating embeddings from extracted information.
extractionConfigs List<Property Map>: Configuration for information extraction from conversation content.
isEnabled Boolean: Indicates whether short-term memory optimization is enabled.

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfig

LlmSelections List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfigLlmSelection>: LLM selection configuration.

LlmSelections []GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfigLlmSelection: LLM selection configuration.

llm_selections list(object): LLM selection configuration.

llmSelections List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfigLlmSelection>: LLM selection configuration.

llmSelections GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfigLlmSelection[]: LLM selection configuration.

llm_selections Sequence[GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfigLlmSelection]: LLM selection configuration.

llmSelections List<Property Map>: LLM selection configuration.

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfigLlmSelection

LlmSelectionType string: The type of LLM selection.
ModelId string: The id of the GenAI model

LlmSelectionType string: The type of LLM selection.
ModelId string: The id of the GenAI model

llm_selection_type string: The type of LLM selection.
model_id string: The id of the GenAI model

llmSelectionType String: The type of LLM selection.
modelId String: The id of the GenAI model

llmSelectionType string: The type of LLM selection.
modelId string: The id of the GenAI model

llm_selection_type str: The type of LLM selection.
model_id str: The id of the GenAI model

llmSelectionType String: The type of LLM selection.
modelId String: The id of the GenAI model

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfig

LlmSelections List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfigLlmSelection>: LLM selection configuration.

LlmSelections []GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfigLlmSelection: LLM selection configuration.

llm_selections list(object): LLM selection configuration.

llmSelections List<GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfigLlmSelection>: LLM selection configuration.

llmSelections GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfigLlmSelection[]: LLM selection configuration.

llm_selections Sequence[GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfigLlmSelection]: LLM selection configuration.

llmSelections List<Property Map>: LLM selection configuration.

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfigLlmSelection

LlmSelectionType string: The type of LLM selection.
ModelId string: The id of the GenAI model

LlmSelectionType string: The type of LLM selection.
ModelId string: The id of the GenAI model

llm_selection_type string: The type of LLM selection.
model_id string: The id of the GenAI model

llmSelectionType String: The type of LLM selection.
modelId String: The id of the GenAI model

llmSelectionType string: The type of LLM selection.
modelId string: The id of the GenAI model

llm_selection_type str: The type of LLM selection.
model_id str: The id of the GenAI model

llmSelectionType String: The type of LLM selection.
modelId String: The id of the GenAI model

GetProjectShortTermMemoryOptimizationConfig

CondenserConfigs List<GetProjectShortTermMemoryOptimizationConfigCondenserConfig>: Configuration for condensing conversation content.
IsEnabled bool: Indicates whether short-term memory optimization is enabled.

CondenserConfigs []GetProjectShortTermMemoryOptimizationConfigCondenserConfig: Configuration for condensing conversation content.
IsEnabled bool: Indicates whether short-term memory optimization is enabled.

condenser_configs list(object): Configuration for condensing conversation content.
is_enabled bool: Indicates whether short-term memory optimization is enabled.

condenserConfigs List<GetProjectShortTermMemoryOptimizationConfigCondenserConfig>: Configuration for condensing conversation content.
isEnabled Boolean: Indicates whether short-term memory optimization is enabled.

condenserConfigs GetProjectShortTermMemoryOptimizationConfigCondenserConfig[]: Configuration for condensing conversation content.
isEnabled boolean: Indicates whether short-term memory optimization is enabled.

condenser_configs Sequence[GetProjectShortTermMemoryOptimizationConfigCondenserConfig]: Configuration for condensing conversation content.
is_enabled bool: Indicates whether short-term memory optimization is enabled.

condenserConfigs List<Property Map>: Configuration for condensing conversation content.
isEnabled Boolean: Indicates whether short-term memory optimization is enabled.

GetProjectShortTermMemoryOptimizationConfigCondenserConfig

LlmSelections List<GetProjectShortTermMemoryOptimizationConfigCondenserConfigLlmSelection>: LLM selection configuration.

LlmSelections []GetProjectShortTermMemoryOptimizationConfigCondenserConfigLlmSelection: LLM selection configuration.

llm_selections list(object): LLM selection configuration.

llmSelections List<GetProjectShortTermMemoryOptimizationConfigCondenserConfigLlmSelection>: LLM selection configuration.

llmSelections GetProjectShortTermMemoryOptimizationConfigCondenserConfigLlmSelection[]: LLM selection configuration.

llm_selections Sequence[GetProjectShortTermMemoryOptimizationConfigCondenserConfigLlmSelection]: LLM selection configuration.

llmSelections List<Property Map>: LLM selection configuration.

GetProjectShortTermMemoryOptimizationConfigCondenserConfigLlmSelection

LlmSelectionType string: The type of LLM selection.
ModelId string: The id of the GenAI model

LlmSelectionType string: The type of LLM selection.
ModelId string: The id of the GenAI model

llm_selection_type string: The type of LLM selection.
model_id string: The id of the GenAI model

llmSelectionType String: The type of LLM selection.
modelId String: The id of the GenAI model

llmSelectionType string: The type of LLM selection.
modelId string: The id of the GenAI model

llm_selection_type str: The type of LLM selection.
model_id str: The id of the GenAI model

llmSelectionType String: The type of LLM selection.
modelId String: The id of the GenAI model

Package Details

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

Viewing docs for Oracle Cloud Infrastructure v4.20.0
published on Wednesday, Jul 15, 2026 by Pulumi

Schema (JSON)

pulumi/pulumi-oci

oci.GenerativeAi.getProject

On this page

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Example Usage

Using getProject

getProject Result

Supporting Types

GetProjectConversationConfig

GetProjectLongTermMemoryConfig

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategy

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfig

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfigLlmSelection

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfig

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfigLlmSelection

GetProjectShortTermMemoryOptimizationConfig

GetProjectShortTermMemoryOptimizationConfigCondenserConfig

GetProjectShortTermMemoryOptimizationConfigCondenserConfigLlmSelection

Package Details

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oci.GenerativeAi.getProject

On this page

On this page

Example Usage

Using getProject

getProject Result

Supporting Types

GetProjectConversationConfig

GetProjectLongTermMemoryConfig

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategy

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfig

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyEmbeddingConfigLlmSelection

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfig

GetProjectLongTermMemoryConfigStandardLongTermMemoryStrategyExtractionConfigLlmSelection

GetProjectShortTermMemoryOptimizationConfig

GetProjectShortTermMemoryOptimizationConfigCondenserConfig

GetProjectShortTermMemoryOptimizationConfigCondenserConfigLlmSelection

Package Details

On this page

On this page

Try Pulumi Cloud free.Your team will thank you.

Try Pulumi Cloud free.
Your team will thank you.