oci.generative_ai.models.AddArtifactDetails |
new artifact details. |
oci.generative_ai.models.ApiKey |
ApiKeys are resources used to access GenAI models. |
oci.generative_ai.models.ApiKeyCollection |
Results of a ApiKey search. |
oci.generative_ai.models.ApiKeyItem |
The ApiKey item. |
oci.generative_ai.models.ApiKeySummary |
Summary of the API key. |
oci.generative_ai.models.Artifact |
Container/artifact configuration for the deployment. |
oci.generative_ai.models.ChangeApiKeyCompartmentDetails |
The details to move an APIKey to another compartment. |
oci.generative_ai.models.ChangeDedicatedAiClusterCompartmentDetails |
The details to move a dedicated AI cluster to another compartment. |
oci.generative_ai.models.ChangeEndpointCompartmentDetails |
The details to move an endpoint to another compartment. |
oci.generative_ai.models.ChangeGenerativeAiPrivateEndpointCompartmentDetails |
The details required to change a private endpoint compartment. |
oci.generative_ai.models.ChangeGenerativeAiProjectCompartmentDetails |
The details to move a GenerativeAiProject to another compartment. |
oci.generative_ai.models.ChangeHostedApplicationCompartmentDetails |
The details to move a hosted application to another compartment. |
oci.generative_ai.models.ChangeHostedApplicationStorageCompartmentDetails |
The details to move a hosted application storage to another compartment. |
oci.generative_ai.models.ChangeImportedModelCompartmentDetails |
The details to move an imported model to another compartment. |
oci.generative_ai.models.ChangeModelCompartmentDetails |
The details to move a custom model to another compartment. |
oci.generative_ai.models.ChangeSemanticStoreCompartmentDetails |
The details to move a SemanticStore to another compartment. |
oci.generative_ai.models.ChatModelMetrics |
The chat model metrics of the fine-tuning process. |
oci.generative_ai.models.CondenserConfig |
Configuration for condensing conversation content. |
oci.generative_ai.models.ConnectorConfiguration |
Datasource configuration for the connector. |
oci.generative_ai.models.ContentModerationConfig |
The configuration details, whether to add the content moderation feature to the model. |
oci.generative_ai.models.ConversationConfig |
Holds configuration related to conversation retention |
oci.generative_ai.models.CreateApiKeyDetails |
The data to create an API key. |
oci.generative_ai.models.CreateArtifactDetails |
Artifact configuration input for the deployment. |
oci.generative_ai.models.CreateDataSourceDatabaseToolsConnectionDetails |
Defines the OCI Database Tools Connection data source that the semantic model connects to. |
oci.generative_ai.models.CreateDataSourceDetails |
Defines the data source that the semantic model connects to. |
oci.generative_ai.models.CreateDedicatedAiClusterDetails |
The data to create a dedicated AI cluster. |
oci.generative_ai.models.CreateEndpointDetails |
The data to create an endpoint. |
oci.generative_ai.models.CreateGenerativeAiPrivateEndpointDetails |
The details required to create a Generative AI private endpoint. |
oci.generative_ai.models.CreateGenerativeAiProjectDetails |
The data to create a GenerativeAiProject. |
oci.generative_ai.models.CreateHostedApplicationDetails |
The details required to create a hosted application. |
oci.generative_ai.models.CreateHostedApplicationStorageDetails |
The data to create a hosted application storage. |
oci.generative_ai.models.CreateHostedDeploymentDetails |
The data to create a hosted deployment. |
oci.generative_ai.models.CreateImportedModelDetails |
The data to import a model. |
oci.generative_ai.models.CreateModelDetails |
The data to create a custom model. |
oci.generative_ai.models.CreateSchemasDatabaseToolsConnectionDetails |
Array of database schemas or database objects included in the enrichment pipeline for data sources connected via an OCI Database Tools connection. |
oci.generative_ai.models.CreateSchemasDetails |
Array of database schemas or other database objects to include in enrichment pipeline. |
oci.generative_ai.models.CreateSemanticStoreDetails |
The data to create a SemanticStore. |
oci.generative_ai.models.CreateSingleDockerArtifactDetails |
CreateSingleDockerArtifactDetails model. |
oci.generative_ai.models.CreateVectorStoreConnectorDetails |
The data to create a VectorStoreConnector. |
oci.generative_ai.models.CreateVectorStoreConnectorFileSyncDetails |
The data to create a VectorStoreConnectorFileSync. |
oci.generative_ai.models.DataSourceDatabaseToolsConnectionDetails |
Defines the OCI Database Tools Connection data source that the semantic model connects to. |
oci.generative_ai.models.DataSourceDetails |
Defines the data source that the semantic model connects to. |
oci.generative_ai.models.DatabaseToolsConnection |
DatabaseToolsConnection model. |
oci.generative_ai.models.Dataset |
The dataset used to fine-tune the model. |
oci.generative_ai.models.DedicatedAiCluster |
Dedicated AI clusters are compute resources that you can use for fine-tuning custom models or for hosting endpoints for custom models. |
oci.generative_ai.models.DedicatedAiClusterCapacity |
The total capacity for a dedicated AI cluster. |
oci.generative_ai.models.DedicatedAiClusterCollection |
Results of a dedicate AI cluster search. |
oci.generative_ai.models.DedicatedAiClusterHostingCapacity |
The capacity of a hosting type dedicated AI cluster. |
oci.generative_ai.models.DedicatedAiClusterSummary |
Summary information about a dedicated AI cluster. |
oci.generative_ai.models.EmbeddingConfig |
Configuration for generating embeddings from extracted information. |
oci.generative_ai.models.Endpoint |
To host a custom model for inference, create an endpoint for that model on a dedicated AI cluster of type HOSTING. |
oci.generative_ai.models.EndpointCollection |
Results of an endpoint search. |
oci.generative_ai.models.EndpointSummary |
Summary information for an endpoint resource. |
oci.generative_ai.models.EnvironmentVariable |
The environment variables for the Hosted Application |
oci.generative_ai.models.ExtractionConfig |
Configuration for information extraction from conversation content. |
oci.generative_ai.models.FileSyncIngestionLogs |
A Log object that gives the ingestion status of a File from a datasource read by a VectorStoreConnector |
oci.generative_ai.models.FileSyncIngestionLogsCollection |
Results of a VectorStoreConnector Ingestion Log search. |
oci.generative_ai.models.FileSyncStatistics |
Synchronization Statistics for a VectorStore File Sync operation or for a VectorStore Connector |
oci.generative_ai.models.FineTuneDetails |
Details about fine-tuning a custom model. |
oci.generative_ai.models.GenAiModelLlmSelection |
LLM selection with specific Gen AI model. |
oci.generative_ai.models.GenerativeAiPrivateEndpoint |
Generative AI private endpoint. |
oci.generative_ai.models.GenerativeAiPrivateEndpointCollection |
Collection of GenerativeAiPrivateEndpointSummary |
oci.generative_ai.models.GenerativeAiPrivateEndpointSummary |
List of Generative AI private endpoints. |
oci.generative_ai.models.GenerativeAiProject |
A GenerativeAiProject is a logical container that stores conversation, file and containers. |
oci.generative_ai.models.GenerativeAiProjectCollection |
Results of a GenerativeAiProject search. |
oci.generative_ai.models.GenerativeAiProjectSummary |
Summary information for a GenerativeAiProject. |
oci.generative_ai.models.HostedApplication |
Hosted Application, defines shared configurations that apply across multiple deployments of the Agent or MCP application. |
oci.generative_ai.models.HostedApplicationCollection |
Results of a dedicate hosted application search. |
oci.generative_ai.models.HostedApplicationStorage |
defines a physical storage (database or cache) managed by service. |
oci.generative_ai.models.HostedApplicationStorageCollection |
Results of a dedicate hosted application search. |
oci.generative_ai.models.HostedApplicationStorageSummary |
Summary information about a hosted application storage. |
oci.generative_ai.models.HostedApplicationSummary |
Summary information about a hosted application. |
oci.generative_ai.models.HostedDeployment |
Hosted deployment is designed to support the full spectrum of agent use cases from lightweight, employee-facing assistants and internal workflow automation, to enterprise-grade, large-scale customer-facing workloads. |
oci.generative_ai.models.HostedDeploymentCollection |
Results of a dedicate hosted deployment search. |
oci.generative_ai.models.HostedDeploymentSummary |
Summary information about a hosted deployment. |
oci.generative_ai.models.HuggingFaceModel |
Configuration for importing a model from Hugging Face. |
oci.generative_ai.models.IdcsAuthConfig |
Oracle Identity Cloud Service (IDCS) configuration used when inboundAuthConfigType is set to IDCS_AUTH_CONFIG. |
oci.generative_ai.models.ImportedModel |
Represents a model imported into the system based on an external data source, such as Hugging Face or Object Storage. |
oci.generative_ai.models.ImportedModelCollection |
Represents the result of a list operation for imported models. |
oci.generative_ai.models.ImportedModelSummary |
Summary of the importedModel. |
oci.generative_ai.models.InboundAuthConfig |
The client-side inbound authentication configuration for the Hosted Application. |
oci.generative_ai.models.InboundNetworkingConfig |
Inbound Networking configuration. |
oci.generative_ai.models.KeyDetails |
The data to create/renew an API key item. |
oci.generative_ai.models.LlmSelection |
LLM selection configuration. |
oci.generative_ai.models.LongTermMemoryConfig |
Configuration settings for long-term memory behavior. |
oci.generative_ai.models.LoraTrainingConfig |
The Lora training method hyperparameters. |
oci.generative_ai.models.Model |
You can create a custom model by using your dataset to fine-tune an out-of-the-box text generation base model. |
oci.generative_ai.models.ModelCollection |
Results of a model search. |
oci.generative_ai.models.ModelConfig |
Base model configuration shared across GenAI Project memory. |
oci.generative_ai.models.ModelDataSource |
Defines the source location and method used to import the model. |
oci.generative_ai.models.ModelMetrics |
Model metrics during the creation of a new model. |
oci.generative_ai.models.ModelSummary |
Summary of the model. |
oci.generative_ai.models.NetworkingConfig |
Networking configuration. |
oci.generative_ai.models.ObjectStorageConfig |
OCI Object storage configuration details. |
oci.generative_ai.models.ObjectStorageDataset |
The dataset is stored in an OCI Object Storage bucket. |
oci.generative_ai.models.ObjectStorageObject |
Details about the object storage location. |
oci.generative_ai.models.OciObjectStorageConfiguration |
The OCI Object Storage namespace and bucket details of the datasource |
oci.generative_ai.models.OutboundNetworkingConfig |
Outbound Networking configuration. |
oci.generative_ai.models.PiiDetectionConfig |
The configuration details for personally identifiable information (PII) detection, in prompts and responses. |
oci.generative_ai.models.PromptInjectionConfig |
The configuration details for prompt injection (PI) detection. |
oci.generative_ai.models.RefreshScheduleDetails |
Specifies a refresh schedule. |
oci.generative_ai.models.RefreshScheduleIntervalDetails |
Defines the refresh schedule by specifying the interval between each refresh. |
oci.generative_ai.models.RefreshScheduleNoneDetails |
Allows user to opt out of automated synchronization schedule. |
oci.generative_ai.models.RefreshScheduleOnCreateDetails |
Only trigger the enrichment at the creation time. |
oci.generative_ai.models.RenewApiKeyDetails |
The data to renew an API key item. |
oci.generative_ai.models.ScalingConfig |
The auto scaling configuration for the Hosted Application. |
oci.generative_ai.models.ScheduleConfig |
The Schedule configuration of a VectorStoreConnector to trigger a File Sync Operation. |
oci.generative_ai.models.ScheduleCronConfig |
The scheduled UNIX cron definition. |
oci.generative_ai.models.ScheduleIntervalConfig |
The interval schedule config. |
oci.generative_ai.models.SchemaItem |
Represents a database schema identified by name. |
oci.generative_ai.models.SchemasDatabaseToolsConnectionDetails |
Array of database schemas or database objects included in the enrichment pipeline for data sources connected via an OCI Database Tools connection. |
oci.generative_ai.models.SchemasDetails |
Array of database schemas or other database objects to include in enrichment pipeline. |
oci.generative_ai.models.SemanticStore |
A Semantic Store is a container resource of semantic records, with controllable enrichment refresh and synchronization policy. |
oci.generative_ai.models.SemanticStoreCollection |
Results of a SemanticStore list. |
oci.generative_ai.models.SemanticStoreSummary |
Summary information for a SemanticStore. |
oci.generative_ai.models.SetApiKeyStateDetails |
The data to set the state of an API key item. |
oci.generative_ai.models.ShortTermMemoryOptimizationConfig |
Configuration settings for short-term memory optimization. |
oci.generative_ai.models.SingleDockerArtifact |
Container/artifact configuration for the deployment. |
oci.generative_ai.models.StandardLongTermMemoryStrategy |
Standard strategy settings for long-term memory. |
oci.generative_ai.models.StorageConfig |
The type of service-managed storage. |
oci.generative_ai.models.TFewTrainingConfig |
The TFEW training method hyperparameters. |
oci.generative_ai.models.TextGenerationModelMetrics |
The text generation model metrics of the fine-tuning process. |
oci.generative_ai.models.TrainingConfig |
The fine-tuning method and hyperparameters used for fine-tuning a custom model. |
oci.generative_ai.models.UpdateApiKeyDetails |
The data to update an API key. |
oci.generative_ai.models.UpdateDedicatedAiClusterDetails |
The data to update a dedicated AI cluster. |
oci.generative_ai.models.UpdateEndpointDetails |
The data to update an endpoint. |
oci.generative_ai.models.UpdateGenerativeAiPrivateEndpointDetails |
The details required to update a Generative AI private endpoint. |
oci.generative_ai.models.UpdateGenerativeAiProjectDetails |
The data to update a GenerativeAiProject. |
oci.generative_ai.models.UpdateHostedApplicationDetails |
The data to update a hosted application. |
oci.generative_ai.models.UpdateHostedDeploymentDetails |
The data to update a hosted deployment. |
oci.generative_ai.models.UpdateImportedModelDetails |
The data to update an imported model. |
oci.generative_ai.models.UpdateModelDetails |
The data to update a custom model. |
oci.generative_ai.models.UpdateSemanticStoreDetails |
The data to update a SemanticStore. |
oci.generative_ai.models.UpdateVectorStoreConnectorDetails |
The data to update a VectorStoreConnector. |
oci.generative_ai.models.VanillaTrainingConfig |
The Vanilla training method hyperparameters. |
oci.generative_ai.models.VectorStoreConnector |
A VectorStore Connector offers a lightweight and configurable mechanism to continuously synchronize data from external systems into the VectorStore at scale. |
oci.generative_ai.models.VectorStoreConnectorCollection |
Results of a VectorStoreConnector search. |
oci.generative_ai.models.VectorStoreConnectorFileSync |
The VectorStoreConnectorFileSync is an operation that carries out the data sync operation between the datasource and the VectorStore. |
oci.generative_ai.models.VectorStoreConnectorFileSyncCollection |
Results of a VectorStoreConnectorFileSync search. |
oci.generative_ai.models.VectorStoreConnectorFileSyncSummary |
Summary information for a VectorStoreConnectorFileSync |
oci.generative_ai.models.VectorStoreConnectorIngestionLogs |
A Log object that gives the ingestion status of a File from a datasource read by a VectorStoreConnector |
oci.generative_ai.models.VectorStoreConnectorIngestionLogsCollection |
Results of a VectorStoreConnector Ingestion Log search. |
oci.generative_ai.models.VectorStoreConnectorStats |
File synchronization statistics for a VectorStoreConnector. |
oci.generative_ai.models.VectorStoreConnectorSummary |
Summary information for a VectorStoreConnector |
oci.generative_ai.models.WorkRequest |
An asynchronous work request. |
oci.generative_ai.models.WorkRequestError |
An error encountered while performing an operation that is tracked by this work request. |
oci.generative_ai.models.WorkRequestErrorCollection |
A list of work request errors. |
oci.generative_ai.models.WorkRequestLogEntry |
The log message from performing an operation that is tracked by this work request. |
oci.generative_ai.models.WorkRequestLogEntryCollection |
A list of work request logs. |
oci.generative_ai.models.WorkRequestResource |
The resource created or operated on by a work request. |
oci.generative_ai.models.WorkRequestSummary |
Summary information about an asynchronous work request. |
oci.generative_ai.models.WorkRequestSummaryCollection |
A list of work requests. |