elasticsearch-api/lib/elasticsearch/api/actions/inference/put_jinaai.rb

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#   http://www.apache.org/licenses/LICENSE-2.0
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# under the License.
#
# This code was automatically generated from the Elasticsearch Specification
# See https://github.com/elastic/elasticsearch-specification
# See Elasticsearch::ES_SPECIFICATION_COMMIT for commit hash.
module Elasticsearch
  module API
    module Inference
      module Actions
        # Create an JinaAI inference endpoint.
        # Create an inference endpoint to perform an inference task with the `jinaai` service.
        # To review the available `rerank` models, refer to <https://jina.ai/reranker>.
        # To review the available `text_embedding` models, refer to the <https://jina.ai/embeddings/>.
        #
        # @option arguments [String] :task_type The type of the inference task that the model will perform. (*Required*)
        # @option arguments [String] :jinaai_inference_id The unique identifier of the inference endpoint. (*Required*)
        # @option arguments [Boolean] :error_trace When set to `true` Elasticsearch will include the full stack trace of errors
        #  when they occur.
        # @option arguments [String] :filter_path Comma-separated list of filters in dot notation which reduce the response
        #  returned by Elasticsearch.
        # @option arguments [Boolean] :human When set to `true` will return statistics in a format suitable for humans.
        #  For example `"exists_time": "1h"` for humans and
        #  `"eixsts_time_in_millis": 3600000` for computers. When disabled the human
        #  readable values will be omitted. This makes sense for responses being consumed
        #  only by machines.
        # @option arguments [Boolean] :pretty If set to `true` the returned JSON will be "pretty-formatted". Only use
        #  this option for debugging only.
        # @option arguments [Hash] :headers Custom HTTP headers
        # @option arguments [Hash] :body request body
        #
        # @see https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put-jinaai
        #
        def put_jinaai(arguments = {})
          request_opts = { endpoint: arguments[:endpoint] || 'inference.put_jinaai' }

          defined_params = [:task_type, :jinaai_inference_id].each_with_object({}) do |variable, set_variables|
            set_variables[variable] = arguments[variable] if arguments.key?(variable)
          end
          request_opts[:defined_params] = defined_params unless defined_params.empty?

          raise ArgumentError, "Required argument 'task_type' missing" unless arguments[:task_type]

          unless arguments[:jinaai_inference_id]
            raise ArgumentError,
                  "Required argument 'jinaai_inference_id' missing"
          end

          arguments = arguments.clone
          headers = arguments.delete(:headers) || {}

          body = arguments.delete(:body)

          _task_type = arguments.delete(:task_type)

          _jinaai_inference_id = arguments.delete(:jinaai_inference_id)

          method = Elasticsearch::API::HTTP_PUT
          path   = "_inference/#{Utils.listify(_task_type)}/#{Utils.listify(_jinaai_inference_id)}"
          params = Utils.process_params(arguments)

          Elasticsearch::API::Response.new(
            perform_request(method, path, params, body, headers, request_opts)
          )
        end
      end
    end
  end
end