Class: OCI::GenerativeAi::GenerativeAiClient
- Inherits:
-
Object
- Object
- OCI::GenerativeAi::GenerativeAiClient
- Defined in:
- lib/oci/generative_ai/generative_ai_client.rb
Overview
OCI Generative AI is a fully managed service that provides a set of state-of-the-art, customizable large language models (LLMs) that cover a wide range of use cases for text generation, summarization, and text embeddings.
Use the Generative AI service management API to create and manage dedicated AI clusters, endpoints, custom models, and work requests in the Generative AI service. For example, create a custom model by fine-tuning an out-of-the-box model using your own data, on a fine-tuning dedicated AI cluster. Then, create a hosting dedicated AI cluster with an endpoint to host your custom model.
To access your custom model endpoints, or to try the out-of-the-box models to generate text, summarize, and create text embeddings see the Generative AI Inference API.
To learn more about the service, see the Generative AI documentation.
Instance Attribute Summary collapse
-
#api_client ⇒ OCI::ApiClient
readonly
Client used to make HTTP requests.
-
#endpoint ⇒ String
readonly
Fully qualified endpoint URL.
-
#region ⇒ String
The region, which will usually correspond to a value in Regions::REGION_ENUM.
-
#retry_config ⇒ OCI::Retry::RetryConfig
readonly
The default retry configuration to apply to all operations in this service client.
Instance Method Summary collapse
-
#change_dedicated_ai_cluster_compartment(dedicated_ai_cluster_id, change_dedicated_ai_cluster_compartment_details, opts = {}) ⇒ Response
Moves a dedicated AI cluster into a different compartment within the same tenancy.
-
#change_endpoint_compartment(endpoint_id, change_endpoint_compartment_details, opts = {}) ⇒ Response
Moves an endpoint into a different compartment within the same tenancy.
-
#change_model_compartment(model_id, change_model_compartment_details, opts = {}) ⇒ Response
Moves a custom model into a different compartment.
-
#create_dedicated_ai_cluster(create_dedicated_ai_cluster_details, opts = {}) ⇒ Response
Creates a dedicated AI cluster.
-
#create_endpoint(create_endpoint_details, opts = {}) ⇒ Response
Creates an endpoint.
-
#create_model(create_model_details, opts = {}) ⇒ Response
Creates a custom model by fine-tuning a base model with your own dataset.
-
#delete_dedicated_ai_cluster(dedicated_ai_cluster_id, opts = {}) ⇒ Response
Deletes a dedicated AI cluster.
-
#delete_endpoint(endpoint_id, opts = {}) ⇒ Response
Deletes an endpoint.
-
#delete_model(model_id, opts = {}) ⇒ Response
Deletes a custom model.
-
#get_dedicated_ai_cluster(dedicated_ai_cluster_id, opts = {}) ⇒ Response
Gets information about a dedicated AI cluster.
-
#get_endpoint(endpoint_id, opts = {}) ⇒ Response
Gets information about an endpoint.
-
#get_model(model_id, opts = {}) ⇒ Response
Gets information about a custom model.
-
#get_work_request(work_request_id, opts = {}) ⇒ Response
Gets the details of a work request.
-
#initialize(config: nil, region: nil, endpoint: nil, signer: nil, proxy_settings: nil, retry_config: nil) ⇒ GenerativeAiClient
constructor
Creates a new GenerativeAiClient.
-
#list_dedicated_ai_clusters(compartment_id, opts = {}) ⇒ Response
Lists the dedicated AI clusters in a specific compartment.
-
#list_endpoints(compartment_id, opts = {}) ⇒ Response
Lists the endpoints of a specific compartment.
-
#list_models(compartment_id, opts = {}) ⇒ Response
Lists the models in a specific compartment.
-
#list_work_request_errors(work_request_id, opts = {}) ⇒ Response
Lists the errors for a work request.
-
#list_work_request_logs(work_request_id, opts = {}) ⇒ Response
Lists the logs for a work request.
-
#list_work_requests(compartment_id, opts = {}) ⇒ Response
Lists the work requests in a compartment.
-
#logger ⇒ Logger
The logger for this client.
-
#update_dedicated_ai_cluster(dedicated_ai_cluster_id, update_dedicated_ai_cluster_details, opts = {}) ⇒ Response
Updates a dedicated AI cluster.
-
#update_endpoint(endpoint_id, update_endpoint_details, opts = {}) ⇒ Response
Updates the properties of an endpoint.
-
#update_model(model_id, update_model_details, opts = {}) ⇒ Response
Updates the properties of a custom model such as name, description, version, freeform tags, and defined tags.
Constructor Details
#initialize(config: nil, region: nil, endpoint: nil, signer: nil, proxy_settings: nil, retry_config: nil) ⇒ GenerativeAiClient
Creates a new GenerativeAiClient. Notes: If a config is not specified, then the global OCI.config will be used.
This client is not thread-safe
Either a region or an endpoint must be specified. If an endpoint is specified, it will be used instead of the region. A region may be specified in the config or via or the region parameter. If specified in both, then the region parameter will be used.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 61 def initialize(config: nil, region: nil, endpoint: nil, signer: nil, proxy_settings: nil, retry_config: nil) # If the signer is an InstancePrincipalsSecurityTokenSigner or SecurityTokenSigner and no config was supplied (they are self-sufficient signers) # then create a dummy config to pass to the ApiClient constructor. If customers wish to create a client which uses instance principals # and has config (either populated programmatically or loaded from a file), they must construct that config themselves and then # pass it to this constructor. # # If there is no signer (or the signer is not an instance principals signer) and no config was supplied, this is not valid # so try and load the config from the default file. config = OCI::Config.validate_and_build_config_with_signer(config, signer) signer = OCI::Signer.config_file_auth_builder(config) if signer.nil? @api_client = OCI::ApiClient.new(config, signer, proxy_settings: proxy_settings) @retry_config = retry_config if endpoint @endpoint = endpoint + '/20231130' else region ||= config.region region ||= signer.region if signer.respond_to?(:region) self.region = region end logger.info "GenerativeAiClient endpoint set to '#{@endpoint}'." if logger end |
Instance Attribute Details
#api_client ⇒ OCI::ApiClient (readonly)
Client used to make HTTP requests.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 21 def api_client @api_client end |
#endpoint ⇒ String (readonly)
Fully qualified endpoint URL
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 25 def endpoint @endpoint end |
#region ⇒ String
The region, which will usually correspond to a value in Regions::REGION_ENUM.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 35 def region @region end |
#retry_config ⇒ OCI::Retry::RetryConfig (readonly)
The default retry configuration to apply to all operations in this service client. This can be overridden on a per-operation basis. The default retry configuration value is nil
, which means that an operation will not perform any retries
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 31 def retry_config @retry_config end |
Instance Method Details
#change_dedicated_ai_cluster_compartment(dedicated_ai_cluster_id, change_dedicated_ai_cluster_compartment_details, opts = {}) ⇒ Response
Click here to see an example of how to use change_dedicated_ai_cluster_compartment API.
Moves a dedicated AI cluster into a different compartment within the same tenancy. For information about moving resources between compartments, see Moving Resources to a Different Compartment.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 133 def change_dedicated_ai_cluster_compartment(dedicated_ai_cluster_id, change_dedicated_ai_cluster_compartment_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#change_dedicated_ai_cluster_compartment.' if logger raise "Missing the required parameter 'dedicated_ai_cluster_id' when calling change_dedicated_ai_cluster_compartment." if dedicated_ai_cluster_id.nil? raise "Missing the required parameter 'change_dedicated_ai_cluster_compartment_details' when calling change_dedicated_ai_cluster_compartment." if change_dedicated_ai_cluster_compartment_details.nil? raise "Parameter value for 'dedicated_ai_cluster_id' must not be blank" if OCI::Internal::Util.blank_string?(dedicated_ai_cluster_id) path = '/dedicatedAiClusters/{dedicatedAiClusterId}/actions/changeCompartment'.sub('{dedicatedAiClusterId}', dedicated_ai_cluster_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] header_params[:'opc-retry-token'] = opts[:opc_retry_token] if opts[:opc_retry_token] # rubocop:enable Style/NegatedIf header_params[:'opc-retry-token'] ||= OCI::Retry.generate_opc_retry_token post_body = @api_client.object_to_http_body(change_dedicated_ai_cluster_compartment_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#change_dedicated_ai_cluster_compartment') do @api_client.call_api( :POST, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body ) end # rubocop:enable Metrics/BlockLength end |
#change_endpoint_compartment(endpoint_id, change_endpoint_compartment_details, opts = {}) ⇒ Response
Click here to see an example of how to use change_endpoint_compartment API.
Moves an endpoint into a different compartment within the same tenancy. For information about moving resources between compartments, see Moving Resources to a Different Compartment.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 206 def change_endpoint_compartment(endpoint_id, change_endpoint_compartment_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#change_endpoint_compartment.' if logger raise "Missing the required parameter 'endpoint_id' when calling change_endpoint_compartment." if endpoint_id.nil? raise "Missing the required parameter 'change_endpoint_compartment_details' when calling change_endpoint_compartment." if change_endpoint_compartment_details.nil? raise "Parameter value for 'endpoint_id' must not be blank" if OCI::Internal::Util.blank_string?(endpoint_id) path = '/endpoints/{endpointId}/actions/changeCompartment'.sub('{endpointId}', endpoint_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] header_params[:'opc-retry-token'] = opts[:opc_retry_token] if opts[:opc_retry_token] # rubocop:enable Style/NegatedIf header_params[:'opc-retry-token'] ||= OCI::Retry.generate_opc_retry_token post_body = @api_client.object_to_http_body(change_endpoint_compartment_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#change_endpoint_compartment') do @api_client.call_api( :POST, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body ) end # rubocop:enable Metrics/BlockLength end |
#change_model_compartment(model_id, change_model_compartment_details, opts = {}) ⇒ Response
Click here to see an example of how to use change_model_compartment API.
Moves a custom model into a different compartment. For information about moving resources between compartments, see Moving Resources to a Different Compartment.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 279 def change_model_compartment(model_id, change_model_compartment_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#change_model_compartment.' if logger raise "Missing the required parameter 'model_id' when calling change_model_compartment." if model_id.nil? raise "Missing the required parameter 'change_model_compartment_details' when calling change_model_compartment." if change_model_compartment_details.nil? raise "Parameter value for 'model_id' must not be blank" if OCI::Internal::Util.blank_string?(model_id) path = '/models/{modelId}/actions/changeCompartment'.sub('{modelId}', model_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] header_params[:'opc-retry-token'] = opts[:opc_retry_token] if opts[:opc_retry_token] # rubocop:enable Style/NegatedIf header_params[:'opc-retry-token'] ||= OCI::Retry.generate_opc_retry_token post_body = @api_client.object_to_http_body(change_model_compartment_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#change_model_compartment') do @api_client.call_api( :POST, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body ) end # rubocop:enable Metrics/BlockLength end |
#create_dedicated_ai_cluster(create_dedicated_ai_cluster_details, opts = {}) ⇒ Response
Click here to see an example of how to use create_dedicated_ai_cluster API.
Creates a dedicated AI cluster.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 346 def create_dedicated_ai_cluster(create_dedicated_ai_cluster_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#create_dedicated_ai_cluster.' if logger raise "Missing the required parameter 'create_dedicated_ai_cluster_details' when calling create_dedicated_ai_cluster." if create_dedicated_ai_cluster_details.nil? path = '/dedicatedAiClusters' operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-retry-token'] = opts[:opc_retry_token] if opts[:opc_retry_token] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf header_params[:'opc-retry-token'] ||= OCI::Retry.generate_opc_retry_token post_body = @api_client.object_to_http_body(create_dedicated_ai_cluster_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#create_dedicated_ai_cluster') do @api_client.call_api( :POST, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::DedicatedAiCluster' ) end # rubocop:enable Metrics/BlockLength end |
#create_endpoint(create_endpoint_details, opts = {}) ⇒ Response
Click here to see an example of how to use create_endpoint API.
Creates an endpoint.
The header contains an opc-work-request-id, which is the id for the WorkRequest that tracks the endpoint creation progress.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 414 def create_endpoint(create_endpoint_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#create_endpoint.' if logger raise "Missing the required parameter 'create_endpoint_details' when calling create_endpoint." if create_endpoint_details.nil? path = '/endpoints' operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-retry-token'] = opts[:opc_retry_token] if opts[:opc_retry_token] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf header_params[:'opc-retry-token'] ||= OCI::Retry.generate_opc_retry_token post_body = @api_client.object_to_http_body(create_endpoint_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#create_endpoint') do @api_client.call_api( :POST, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::Endpoint' ) end # rubocop:enable Metrics/BlockLength end |
#create_model(create_model_details, opts = {}) ⇒ Response
Click here to see an example of how to use create_model API.
Creates a custom model by fine-tuning a base model with your own dataset. You can create a new custom models or create a new version of existing custom model..
The header contains an opc-work-request-id, which is the id for the WorkRequest that tracks the model creation progress.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 482 def create_model(create_model_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#create_model.' if logger raise "Missing the required parameter 'create_model_details' when calling create_model." if create_model_details.nil? path = '/models' operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-retry-token'] = opts[:opc_retry_token] if opts[:opc_retry_token] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf header_params[:'opc-retry-token'] ||= OCI::Retry.generate_opc_retry_token post_body = @api_client.object_to_http_body(create_model_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#create_model') do @api_client.call_api( :POST, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::Model' ) end # rubocop:enable Metrics/BlockLength end |
#delete_dedicated_ai_cluster(dedicated_ai_cluster_id, opts = {}) ⇒ Response
Click here to see an example of how to use delete_dedicated_ai_cluster API.
Deletes a dedicated AI cluster.
You can only delete clusters without attached resources. Before you delete a hosting dedicated AI cluster, you must delete the endpoints associated to that cluster. Before you delete a fine-tuning dedicated AI cluster, you must delete the custom model on that cluster. The delete action permanently deletes the cluster. This action can't be undone.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 549 def delete_dedicated_ai_cluster(dedicated_ai_cluster_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#delete_dedicated_ai_cluster.' if logger raise "Missing the required parameter 'dedicated_ai_cluster_id' when calling delete_dedicated_ai_cluster." if dedicated_ai_cluster_id.nil? raise "Parameter value for 'dedicated_ai_cluster_id' must not be blank" if OCI::Internal::Util.blank_string?(dedicated_ai_cluster_id) path = '/dedicatedAiClusters/{dedicatedAiClusterId}'.sub('{dedicatedAiClusterId}', dedicated_ai_cluster_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#delete_dedicated_ai_cluster') do @api_client.call_api( :DELETE, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body ) end # rubocop:enable Metrics/BlockLength end |
#delete_endpoint(endpoint_id, opts = {}) ⇒ Response
Click here to see an example of how to use delete_endpoint API.
Deletes an endpoint.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 612 def delete_endpoint(endpoint_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#delete_endpoint.' if logger raise "Missing the required parameter 'endpoint_id' when calling delete_endpoint." if endpoint_id.nil? raise "Parameter value for 'endpoint_id' must not be blank" if OCI::Internal::Util.blank_string?(endpoint_id) path = '/endpoints/{endpointId}'.sub('{endpointId}', endpoint_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#delete_endpoint') do @api_client.call_api( :DELETE, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body ) end # rubocop:enable Metrics/BlockLength end |
#delete_model(model_id, opts = {}) ⇒ Response
Click here to see an example of how to use delete_model API.
Deletes a custom model. A model shouldn't be deleted if there's one or more active endpoints associated with that model.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 675 def delete_model(model_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#delete_model.' if logger raise "Missing the required parameter 'model_id' when calling delete_model." if model_id.nil? raise "Parameter value for 'model_id' must not be blank" if OCI::Internal::Util.blank_string?(model_id) path = '/models/{modelId}'.sub('{modelId}', model_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#delete_model') do @api_client.call_api( :DELETE, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body ) end # rubocop:enable Metrics/BlockLength end |
#get_dedicated_ai_cluster(dedicated_ai_cluster_id, opts = {}) ⇒ Response
Click here to see an example of how to use get_dedicated_ai_cluster API.
Gets information about a dedicated AI cluster.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 733 def get_dedicated_ai_cluster(dedicated_ai_cluster_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#get_dedicated_ai_cluster.' if logger raise "Missing the required parameter 'dedicated_ai_cluster_id' when calling get_dedicated_ai_cluster." if dedicated_ai_cluster_id.nil? raise "Parameter value for 'dedicated_ai_cluster_id' must not be blank" if OCI::Internal::Util.blank_string?(dedicated_ai_cluster_id) path = '/dedicatedAiClusters/{dedicatedAiClusterId}'.sub('{dedicatedAiClusterId}', dedicated_ai_cluster_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#get_dedicated_ai_cluster') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::DedicatedAiCluster' ) end # rubocop:enable Metrics/BlockLength end |
#get_endpoint(endpoint_id, opts = {}) ⇒ Response
Click here to see an example of how to use get_endpoint API.
Gets information about an endpoint.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 791 def get_endpoint(endpoint_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#get_endpoint.' if logger raise "Missing the required parameter 'endpoint_id' when calling get_endpoint." if endpoint_id.nil? raise "Parameter value for 'endpoint_id' must not be blank" if OCI::Internal::Util.blank_string?(endpoint_id) path = '/endpoints/{endpointId}'.sub('{endpointId}', endpoint_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#get_endpoint') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::Endpoint' ) end # rubocop:enable Metrics/BlockLength end |
#get_model(model_id, opts = {}) ⇒ Response
Click here to see an example of how to use get_model API.
Gets information about a custom model.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 849 def get_model(model_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#get_model.' if logger raise "Missing the required parameter 'model_id' when calling get_model." if model_id.nil? raise "Parameter value for 'model_id' must not be blank" if OCI::Internal::Util.blank_string?(model_id) path = '/models/{modelId}'.sub('{modelId}', model_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#get_model') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::Model' ) end # rubocop:enable Metrics/BlockLength end |
#get_work_request(work_request_id, opts = {}) ⇒ Response
Click here to see an example of how to use get_work_request API.
Gets the details of a work request.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 907 def get_work_request(work_request_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#get_work_request.' if logger raise "Missing the required parameter 'work_request_id' when calling get_work_request." if work_request_id.nil? raise "Parameter value for 'work_request_id' must not be blank" if OCI::Internal::Util.blank_string?(work_request_id) path = '/workRequests/{workRequestId}'.sub('{workRequestId}', work_request_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#get_work_request') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::WorkRequest' ) end # rubocop:enable Metrics/BlockLength end |
#list_dedicated_ai_clusters(compartment_id, opts = {}) ⇒ Response
Click here to see an example of how to use list_dedicated_ai_clusters API.
Lists the dedicated AI clusters in a specific compartment.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 981 def list_dedicated_ai_clusters(compartment_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#list_dedicated_ai_clusters.' if logger raise "Missing the required parameter 'compartment_id' when calling list_dedicated_ai_clusters." if compartment_id.nil? if opts[:lifecycle_state] && !OCI::GenerativeAi::Models::DedicatedAiCluster::LIFECYCLE_STATE_ENUM.include?(opts[:lifecycle_state]) raise 'Invalid value for "lifecycle_state", must be one of the values in OCI::GenerativeAi::Models::DedicatedAiCluster::LIFECYCLE_STATE_ENUM.' end if opts[:sort_order] && !OCI::GenerativeAi::Models::SORT_ORDER_ENUM.include?(opts[:sort_order]) raise 'Invalid value for "sort_order", must be one of the values in OCI::GenerativeAi::Models::SORT_ORDER_ENUM.' end if opts[:sort_by] && !%w[timeCreated displayName lifecycleState].include?(opts[:sort_by]) raise 'Invalid value for "sort_by", must be one of timeCreated, displayName, lifecycleState.' end path = '/dedicatedAiClusters' operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} query_params[:compartmentId] = compartment_id query_params[:lifecycleState] = opts[:lifecycle_state] if opts[:lifecycle_state] query_params[:displayName] = opts[:display_name] if opts[:display_name] query_params[:id] = opts[:id] if opts[:id] query_params[:limit] = opts[:limit] if opts[:limit] query_params[:page] = opts[:page] if opts[:page] query_params[:sortOrder] = opts[:sort_order] if opts[:sort_order] query_params[:sortBy] = opts[:sort_by] if opts[:sort_by] # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#list_dedicated_ai_clusters') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::DedicatedAiClusterCollection' ) end # rubocop:enable Metrics/BlockLength end |
#list_endpoints(compartment_id, opts = {}) ⇒ Response
Click here to see an example of how to use list_endpoints API.
Lists the endpoints of a specific compartment.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 1074 def list_endpoints(compartment_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#list_endpoints.' if logger raise "Missing the required parameter 'compartment_id' when calling list_endpoints." if compartment_id.nil? if opts[:lifecycle_state] && !OCI::GenerativeAi::Models::Endpoint::LIFECYCLE_STATE_ENUM.include?(opts[:lifecycle_state]) raise 'Invalid value for "lifecycle_state", must be one of the values in OCI::GenerativeAi::Models::Endpoint::LIFECYCLE_STATE_ENUM.' end if opts[:sort_order] && !OCI::GenerativeAi::Models::SORT_ORDER_ENUM.include?(opts[:sort_order]) raise 'Invalid value for "sort_order", must be one of the values in OCI::GenerativeAi::Models::SORT_ORDER_ENUM.' end if opts[:sort_by] && !%w[displayName timeCreated].include?(opts[:sort_by]) raise 'Invalid value for "sort_by", must be one of displayName, timeCreated.' end path = '/endpoints' operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} query_params[:compartmentId] = compartment_id query_params[:lifecycleState] = opts[:lifecycle_state] if opts[:lifecycle_state] query_params[:displayName] = opts[:display_name] if opts[:display_name] query_params[:id] = opts[:id] if opts[:id] query_params[:limit] = opts[:limit] if opts[:limit] query_params[:page] = opts[:page] if opts[:page] query_params[:sortOrder] = opts[:sort_order] if opts[:sort_order] query_params[:sortBy] = opts[:sort_by] if opts[:sort_by] # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#list_endpoints') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::EndpointCollection' ) end # rubocop:enable Metrics/BlockLength end |
#list_models(compartment_id, opts = {}) ⇒ Response
Click here to see an example of how to use list_models API.
Lists the models in a specific compartment. Includes pretrained base models and fine-tuned custom models. Allowed values are: displayName, lifecycleState, timeCreated
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 1169 def list_models(compartment_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#list_models.' if logger raise "Missing the required parameter 'compartment_id' when calling list_models." if compartment_id.nil? capability_allowable_values = %w[TEXT_GENERATION TEXT_SUMMARIZATION TEXT_EMBEDDINGS FINE_TUNE CHAT] if opts[:capability] && !opts[:capability].empty? opts[:capability].each do |val_to_check| unless capability_allowable_values.include?(val_to_check) raise 'Invalid value for "capability", must be one of TEXT_GENERATION, TEXT_SUMMARIZATION, TEXT_EMBEDDINGS, FINE_TUNE, CHAT.' end end end if opts[:lifecycle_state] && !OCI::GenerativeAi::Models::Model::LIFECYCLE_STATE_ENUM.include?(opts[:lifecycle_state]) raise 'Invalid value for "lifecycle_state", must be one of the values in OCI::GenerativeAi::Models::Model::LIFECYCLE_STATE_ENUM.' end if opts[:sort_order] && !OCI::GenerativeAi::Models::SORT_ORDER_ENUM.include?(opts[:sort_order]) raise 'Invalid value for "sort_order", must be one of the values in OCI::GenerativeAi::Models::SORT_ORDER_ENUM.' end if opts[:sort_by] && !%w[displayName lifecycleState timeCreated].include?(opts[:sort_by]) raise 'Invalid value for "sort_by", must be one of displayName, lifecycleState, timeCreated.' end path = '/models' operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} query_params[:compartmentId] = compartment_id query_params[:vendor] = opts[:vendor] if opts[:vendor] query_params[:capability] = OCI::ApiClient.build_collection_params(opts[:capability], :multi) if opts[:capability] && !opts[:capability].empty? query_params[:lifecycleState] = opts[:lifecycle_state] if opts[:lifecycle_state] query_params[:displayName] = opts[:display_name] if opts[:display_name] query_params[:id] = opts[:id] if opts[:id] query_params[:limit] = opts[:limit] if opts[:limit] query_params[:page] = opts[:page] if opts[:page] query_params[:sortOrder] = opts[:sort_order] if opts[:sort_order] query_params[:sortBy] = opts[:sort_by] if opts[:sort_by] # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#list_models') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::ModelCollection' ) end # rubocop:enable Metrics/BlockLength end |
#list_work_request_errors(work_request_id, opts = {}) ⇒ Response
Click here to see an example of how to use list_work_request_errors API.
Lists the errors for a work request. Allowed values are: timestamp
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 1270 def list_work_request_errors(work_request_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#list_work_request_errors.' if logger raise "Missing the required parameter 'work_request_id' when calling list_work_request_errors." if work_request_id.nil? if opts[:sort_by] && !%w[timestamp].include?(opts[:sort_by]) raise 'Invalid value for "sort_by", must be one of timestamp.' end if opts[:sort_order] && !OCI::GenerativeAi::Models::SORT_ORDER_ENUM.include?(opts[:sort_order]) raise 'Invalid value for "sort_order", must be one of the values in OCI::GenerativeAi::Models::SORT_ORDER_ENUM.' end raise "Parameter value for 'work_request_id' must not be blank" if OCI::Internal::Util.blank_string?(work_request_id) path = '/workRequests/{workRequestId}/errors'.sub('{workRequestId}', work_request_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} query_params[:page] = opts[:page] if opts[:page] query_params[:limit] = opts[:limit] if opts[:limit] query_params[:sortBy] = opts[:sort_by] if opts[:sort_by] query_params[:sortOrder] = opts[:sort_order] if opts[:sort_order] # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#list_work_request_errors') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::WorkRequestErrorCollection' ) end # rubocop:enable Metrics/BlockLength end |
#list_work_request_logs(work_request_id, opts = {}) ⇒ Response
Click here to see an example of how to use list_work_request_logs API.
Lists the logs for a work request. Allowed values are: timestamp
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 1352 def list_work_request_logs(work_request_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#list_work_request_logs.' if logger raise "Missing the required parameter 'work_request_id' when calling list_work_request_logs." if work_request_id.nil? if opts[:sort_by] && !%w[timestamp].include?(opts[:sort_by]) raise 'Invalid value for "sort_by", must be one of timestamp.' end if opts[:sort_order] && !OCI::GenerativeAi::Models::SORT_ORDER_ENUM.include?(opts[:sort_order]) raise 'Invalid value for "sort_order", must be one of the values in OCI::GenerativeAi::Models::SORT_ORDER_ENUM.' end raise "Parameter value for 'work_request_id' must not be blank" if OCI::Internal::Util.blank_string?(work_request_id) path = '/workRequests/{workRequestId}/logs'.sub('{workRequestId}', work_request_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} query_params[:page] = opts[:page] if opts[:page] query_params[:limit] = opts[:limit] if opts[:limit] query_params[:sortBy] = opts[:sort_by] if opts[:sort_by] query_params[:sortOrder] = opts[:sort_order] if opts[:sort_order] # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#list_work_request_logs') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::WorkRequestLogEntryCollection' ) end # rubocop:enable Metrics/BlockLength end |
#list_work_requests(compartment_id, opts = {}) ⇒ Response
Click here to see an example of how to use list_work_requests API.
Lists the work requests in a compartment. Allowed values are: timeAccepted
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 1437 def list_work_requests(compartment_id, opts = {}) logger.debug 'Calling operation GenerativeAiClient#list_work_requests.' if logger raise "Missing the required parameter 'compartment_id' when calling list_work_requests." if compartment_id.nil? if opts[:status] && !OCI::GenerativeAi::Models::OPERATION_STATUS_ENUM.include?(opts[:status]) raise 'Invalid value for "status", must be one of the values in OCI::GenerativeAi::Models::OPERATION_STATUS_ENUM.' end if opts[:sort_order] && !OCI::GenerativeAi::Models::SORT_ORDER_ENUM.include?(opts[:sort_order]) raise 'Invalid value for "sort_order", must be one of the values in OCI::GenerativeAi::Models::SORT_ORDER_ENUM.' end if opts[:sort_by] && !%w[timeAccepted].include?(opts[:sort_by]) raise 'Invalid value for "sort_by", must be one of timeAccepted.' end path = '/workRequests' operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} query_params[:compartmentId] = compartment_id query_params[:workRequestId] = opts[:work_request_id] if opts[:work_request_id] query_params[:status] = opts[:status] if opts[:status] query_params[:resourceId] = opts[:resource_id] if opts[:resource_id] query_params[:page] = opts[:page] if opts[:page] query_params[:limit] = opts[:limit] if opts[:limit] query_params[:sortOrder] = opts[:sort_order] if opts[:sort_order] query_params[:sortBy] = opts[:sort_by] if opts[:sort_by] # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = nil # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#list_work_requests') do @api_client.call_api( :GET, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::WorkRequestSummaryCollection' ) end # rubocop:enable Metrics/BlockLength end |
#logger ⇒ Logger
Returns The logger for this client. May be nil.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 100 def logger @api_client.config.logger end |
#update_dedicated_ai_cluster(dedicated_ai_cluster_id, update_dedicated_ai_cluster_details, opts = {}) ⇒ Response
Click here to see an example of how to use update_dedicated_ai_cluster API.
Updates a dedicated AI cluster.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 1520 def update_dedicated_ai_cluster(dedicated_ai_cluster_id, update_dedicated_ai_cluster_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#update_dedicated_ai_cluster.' if logger raise "Missing the required parameter 'dedicated_ai_cluster_id' when calling update_dedicated_ai_cluster." if dedicated_ai_cluster_id.nil? raise "Missing the required parameter 'update_dedicated_ai_cluster_details' when calling update_dedicated_ai_cluster." if update_dedicated_ai_cluster_details.nil? raise "Parameter value for 'dedicated_ai_cluster_id' must not be blank" if OCI::Internal::Util.blank_string?(dedicated_ai_cluster_id) path = '/dedicatedAiClusters/{dedicatedAiClusterId}'.sub('{dedicatedAiClusterId}', dedicated_ai_cluster_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = @api_client.object_to_http_body(update_dedicated_ai_cluster_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#update_dedicated_ai_cluster') do @api_client.call_api( :PUT, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::DedicatedAiCluster' ) end # rubocop:enable Metrics/BlockLength end |
#update_endpoint(endpoint_id, update_endpoint_details, opts = {}) ⇒ Response
Click here to see an example of how to use update_endpoint API.
Updates the properties of an endpoint.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 1586 def update_endpoint(endpoint_id, update_endpoint_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#update_endpoint.' if logger raise "Missing the required parameter 'endpoint_id' when calling update_endpoint." if endpoint_id.nil? raise "Missing the required parameter 'update_endpoint_details' when calling update_endpoint." if update_endpoint_details.nil? raise "Parameter value for 'endpoint_id' must not be blank" if OCI::Internal::Util.blank_string?(endpoint_id) path = '/endpoints/{endpointId}'.sub('{endpointId}', endpoint_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = @api_client.object_to_http_body(update_endpoint_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#update_endpoint') do @api_client.call_api( :PUT, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::Endpoint' ) end # rubocop:enable Metrics/BlockLength end |
#update_model(model_id, update_model_details, opts = {}) ⇒ Response
Click here to see an example of how to use update_model API.
Updates the properties of a custom model such as name, description, version, freeform tags, and defined tags.
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# File 'lib/oci/generative_ai/generative_ai_client.rb', line 1652 def update_model(model_id, update_model_details, opts = {}) logger.debug 'Calling operation GenerativeAiClient#update_model.' if logger raise "Missing the required parameter 'model_id' when calling update_model." if model_id.nil? raise "Missing the required parameter 'update_model_details' when calling update_model." if update_model_details.nil? raise "Parameter value for 'model_id' must not be blank" if OCI::Internal::Util.blank_string?(model_id) path = '/models/{modelId}'.sub('{modelId}', model_id.to_s) operation_signing_strategy = :standard # rubocop:disable Style/NegatedIf # Query Params query_params = {} # Header Params header_params = {} header_params[:accept] = 'application/json' header_params[:'content-type'] = 'application/json' header_params[:'if-match'] = opts[:if_match] if opts[:if_match] header_params[:'opc-request-id'] = opts[:opc_request_id] if opts[:opc_request_id] # rubocop:enable Style/NegatedIf post_body = @api_client.object_to_http_body(update_model_details) # rubocop:disable Metrics/BlockLength OCI::Retry.(applicable_retry_config(opts), call_name: 'GenerativeAiClient#update_model') do @api_client.call_api( :PUT, path, endpoint, header_params: header_params, query_params: query_params, operation_signing_strategy: operation_signing_strategy, body: post_body, return_type: 'OCI::GenerativeAi::Models::Model' ) end # rubocop:enable Metrics/BlockLength end |