Auto-generated code for main

elasticsearch-api/lib/elasticsearch/api/actions/inference/inference.rb → elasticsearch-api/lib/elasticsearch/api/actions/inference/chat_completion_unified.rb

@@ -15,27 +15,28 @@
 # specific language governing permissions and limitations
 # under the License.
 #
-# Auto generated from build hash f284cc16f4d4b4289bc679aa1529bb504190fe80
-# @see https://github.com/elastic/elasticsearch/tree/main/rest-api-spec
+# Auto generated from commit f284cc16f4d4b4289bc679aa1529bb504190fe80
+# @see https://github.com/elastic/elasticsearch-specification
 #
 module Elasticsearch
   module API
     module Inference
       module Actions
-        # Perform inference
+        # Perform chat completion inference
         #
-        # @option arguments [String] :inference_id The inference Id
-        # @option arguments [String] :task_type The task type
+        # @option arguments [String] :inference_id The inference Id (*Required*)
+        # @option arguments [Time] :timeout Specifies the amount of time to wait for the inference request to complete. Server default: 30s.
         # @option arguments [Hash] :headers Custom HTTP headers
-        # @option arguments [Hash] :body The inference payload
+        # @option arguments [Hash] :body request body
         #
-        # @see https://www.elastic.co/guide/en/elasticsearch/reference/current/post-inference-api.html
+        # @see https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-unified-inference
         #
-        def inference(arguments = {})
-          request_opts = { endpoint: arguments[:endpoint] || 'inference.inference' }
+        def chat_completion_unified(arguments = {})
+          request_opts = { endpoint: arguments[:endpoint] || 'inference.chat_completion_unified' }
 
-          defined_params = %i[inference_id task_type].each_with_object({}) do |variable, set_variables|
+          defined_params = [:inference_id].inject({}) do |set_variables, variable|
             set_variables[variable] = arguments[variable] if arguments.key?(variable)
+            set_variables
           end
           request_opts[:defined_params] = defined_params unless defined_params.empty?
 
@@ -48,15 +49,9 @@ def inference(arguments = {})
 
           _inference_id = arguments.delete(:inference_id)
 
-          _task_type = arguments.delete(:task_type)
-
           method = Elasticsearch::API::HTTP_POST
-          path   = if _task_type && _inference_id
-                     "_inference/#{Utils.__listify(_task_type)}/#{Utils.__listify(_inference_id)}"
-                   else
-                     "_inference/#{Utils.__listify(_inference_id)}"
-                   end
-          params = {}
+          path   = "_inference/chat_completion/#{Utils.__listify(_inference_id)}/_stream"
+          params = Utils.process_params(arguments)
 
           Elasticsearch::API::Response.new(
             perform_request(method, path, params, body, headers, request_opts)

elasticsearch-api/lib/elasticsearch/api/actions/inference/stream_inference.rb → elasticsearch-api/lib/elasticsearch/api/actions/inference/completion.rb

@@ -15,27 +15,28 @@
 # specific language governing permissions and limitations
 # under the License.
 #
-# Auto generated from build hash f284cc16f4d4b4289bc679aa1529bb504190fe80
-# @see https://github.com/elastic/elasticsearch/tree/main/rest-api-spec
+# Auto generated from commit f284cc16f4d4b4289bc679aa1529bb504190fe80
+# @see https://github.com/elastic/elasticsearch-specification
 #
 module Elasticsearch
   module API
     module Inference
       module Actions
-        # Perform streaming inference
+        # Perform completion inference on the service
         #
-        # @option arguments [String] :inference_id The inference Id
-        # @option arguments [String] :task_type The task type
+        # @option arguments [String] :inference_id The inference Id (*Required*)
+        # @option arguments [Time] :timeout Specifies the amount of time to wait for the inference request to complete. Server default: 30s.
         # @option arguments [Hash] :headers Custom HTTP headers
-        # @option arguments [Hash] :body The inference payload
+        # @option arguments [Hash] :body request body
         #
-        # @see https://www.elastic.co/guide/en/elasticsearch/reference/current/post-stream-inference-api.html
+        # @see https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-inference
         #
-        def stream_inference(arguments = {})
-          request_opts = { endpoint: arguments[:endpoint] || 'inference.stream_inference' }
+        def completion(arguments = {})
+          request_opts = { endpoint: arguments[:endpoint] || 'inference.completion' }
 
-          defined_params = %i[inference_id task_type].each_with_object({}) do |variable, set_variables|
+          defined_params = [:inference_id].inject({}) do |set_variables, variable|
             set_variables[variable] = arguments[variable] if arguments.key?(variable)
+            set_variables
           end
           request_opts[:defined_params] = defined_params unless defined_params.empty?
 
@@ -48,15 +49,9 @@ def stream_inference(arguments = {})
 
           _inference_id = arguments.delete(:inference_id)
 
-          _task_type = arguments.delete(:task_type)
-
           method = Elasticsearch::API::HTTP_POST
-          path   = if _task_type && _inference_id
-                     "_inference/#{Utils.__listify(_task_type)}/#{Utils.__listify(_inference_id)}/_stream"
-                   else
-                     "_inference/#{Utils.__listify(_inference_id)}/_stream"
-                   end
-          params = {}
+          path   = "_inference/completion/#{Utils.__listify(_inference_id)}"
+          params = Utils.process_params(arguments)
 
           Elasticsearch::API::Response.new(
             perform_request(method, path, params, body, headers, request_opts)

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

@@ -15,28 +15,29 @@
 # specific language governing permissions and limitations
 # under the License.
 #
-# Auto generated from build hash f284cc16f4d4b4289bc679aa1529bb504190fe80
-# @see https://github.com/elastic/elasticsearch/tree/main/rest-api-spec
+# Auto generated from commit f284cc16f4d4b4289bc679aa1529bb504190fe80
+# @see https://github.com/elastic/elasticsearch-specification
 #
 module Elasticsearch
   module API
     module Inference
       module Actions
         # Delete an inference endpoint
         #
-        # @option arguments [String] :inference_id The inference Id
         # @option arguments [String] :task_type The task type
-        # @option arguments [Boolean] :dry_run If true the endpoint will not be deleted and a list of ingest processors which reference this endpoint will be returned.
-        # @option arguments [Boolean] :force If true the endpoint will be forcefully stopped (regardless of whether or not it is referenced by any ingest processors or semantic text fields).
+        # @option arguments [String] :inference_id The inference identifier. (*Required*)
+        # @option arguments [Boolean] :dry_run When true, the endpoint is not deleted and a list of ingest processors which reference this endpoint is returned.
+        # @option arguments [Boolean] :force When true, the inference endpoint is forcefully deleted even if it is still being used by ingest processors or semantic text fields.
         # @option arguments [Hash] :headers Custom HTTP headers
         #
-        # @see https://www.elastic.co/guide/en/elasticsearch/reference/current/delete-inference-api.html
+        # @see https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-delete
         #
         def delete(arguments = {})
           request_opts = { endpoint: arguments[:endpoint] || 'inference.delete' }
 
-          defined_params = %i[inference_id task_type].each_with_object({}) do |variable, set_variables|
+          defined_params = [:inference_id, :task_type].inject({}) do |set_variables, variable|
             set_variables[variable] = arguments[variable] if arguments.key?(variable)
+            set_variables
           end
           request_opts[:defined_params] = defined_params unless defined_params.empty?
 
@@ -47,10 +48,10 @@ def delete(arguments = {})
 
           body = nil
 
-          _inference_id = arguments.delete(:inference_id)
-
           _task_type = arguments.delete(:task_type)
 
+          _inference_id = arguments.delete(:inference_id)
+
           method = Elasticsearch::API::HTTP_DELETE
           path   = if _task_type && _inference_id
                      "_inference/#{Utils.__listify(_task_type)}/#{Utils.__listify(_inference_id)}"

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

@@ -15,26 +15,27 @@
 # specific language governing permissions and limitations
 # under the License.
 #
-# Auto generated from build hash f284cc16f4d4b4289bc679aa1529bb504190fe80
-# @see https://github.com/elastic/elasticsearch/tree/main/rest-api-spec
+# Auto generated from commit f284cc16f4d4b4289bc679aa1529bb504190fe80
+# @see https://github.com/elastic/elasticsearch-specification
 #
 module Elasticsearch
   module API
     module Inference
       module Actions
         # Get an inference endpoint
         #
-        # @option arguments [String] :inference_id The inference Id
         # @option arguments [String] :task_type The task type
+        # @option arguments [String] :inference_id The inference Id
         # @option arguments [Hash] :headers Custom HTTP headers
         #
-        # @see https://www.elastic.co/guide/en/elasticsearch/reference/current/get-inference-api.html
+        # @see https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-get
         #
         def get(arguments = {})
           request_opts = { endpoint: arguments[:endpoint] || 'inference.get' }
 
-          defined_params = %i[inference_id task_type].each_with_object({}) do |variable, set_variables|
+          defined_params = [:inference_id, :task_type].inject({}) do |set_variables, variable|
             set_variables[variable] = arguments[variable] if arguments.key?(variable)
+            set_variables
           end
           request_opts[:defined_params] = defined_params unless defined_params.empty?
 
@@ -43,17 +44,17 @@ def get(arguments = {})
 
           body = nil
 
-          _inference_id = arguments.delete(:inference_id)
-
           _task_type = arguments.delete(:task_type)
 
+          _inference_id = arguments.delete(:inference_id)
+
           method = Elasticsearch::API::HTTP_GET
           path   = if _task_type && _inference_id
                      "_inference/#{Utils.__listify(_task_type)}/#{Utils.__listify(_inference_id)}"
                    elsif _inference_id
                      "_inference/#{Utils.__listify(_inference_id)}"
                    else
-                     '_inference'
+                     "_inference"
                    end
           params = {}
 

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

@@ -15,41 +15,51 @@
 # specific language governing permissions and limitations
 # under the License.
 #
-# Auto generated from build hash f284cc16f4d4b4289bc679aa1529bb504190fe80
-# @see https://github.com/elastic/elasticsearch/tree/main/rest-api-spec
+# Auto generated from commit f284cc16f4d4b4289bc679aa1529bb504190fe80
+# @see https://github.com/elastic/elasticsearch-specification
 #
 module Elasticsearch
   module API
     module Inference
       module Actions
-        # Configure an inference endpoint for use in the Inference API
+        # Create an inference endpoint.
+        # When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running.
+        # After creating the endpoint, wait for the model deployment to complete before using it.
+        # To verify the deployment status, use the get trained model statistics API.
+        # Look for +"state": "fully_allocated"+ in the response and ensure that the +"allocation_count"+ matches the +"target_allocation_count"+.
+        # Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.
+        # IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.
+        # For built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.
+        # However, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.
         #
-        # @option arguments [String] :inference_id The inference Id
         # @option arguments [String] :task_type The task type
+        # @option arguments [String] :inference_id The inference Id (*Required*)
         # @option arguments [Hash] :headers Custom HTTP headers
-        # @option arguments [Hash] :body The inference endpoint's task and service settings
+        # @option arguments [Hash] :body inference_config
         #
-        # @see https://www.elastic.co/guide/en/elasticsearch/reference/current/put-inference-api.html
+        # @see https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-inference-put
         #
         def put(arguments = {})
           request_opts = { endpoint: arguments[:endpoint] || 'inference.put' }
 
-          defined_params = %i[inference_id task_type].each_with_object({}) do |variable, set_variables|
+          defined_params = [:inference_id, :task_type].inject({}) do |set_variables, variable|
             set_variables[variable] = arguments[variable] if arguments.key?(variable)
+            set_variables
           end
           request_opts[:defined_params] = defined_params unless defined_params.empty?
 
+          raise ArgumentError, "Required argument 'body' missing" unless arguments[:body]
           raise ArgumentError, "Required argument 'inference_id' missing" unless arguments[:inference_id]
 
           arguments = arguments.clone
           headers = arguments.delete(:headers) || {}
 
           body = arguments.delete(:body)
 
-          _inference_id = arguments.delete(:inference_id)
-
           _task_type = arguments.delete(:task_type)
 
+          _inference_id = arguments.delete(:inference_id)
+
           method = Elasticsearch::API::HTTP_PUT
           path   = if _task_type && _inference_id
                      "_inference/#{Utils.__listify(_task_type)}/#{Utils.__listify(_inference_id)}"

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

@@ -0,0 +1,77 @@
+# Licensed to Elasticsearch B.V. under one or more contributor
+# license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright
+# ownership. Elasticsearch B.V. licenses this file to you under
+# the Apache License, Version 2.0 (the "License"); you may
+# not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+# Auto generated from commit f284cc16f4d4b4289bc679aa1529bb504190fe80
+# @see https://github.com/elastic/elasticsearch-specification
+#
+module Elasticsearch
+  module API
+    module Inference
+      module Actions
+        # Create a Watsonx inference endpoint.
+        # Creates an inference endpoint to perform an inference task with the +watsonxai+ service.
+        # You need an IBM Cloud Databases for Elasticsearch deployment to use the +watsonxai+ inference service.
+        # You can provision one through the IBM catalog, the Cloud Databases CLI plug-in, the Cloud Databases API, or Terraform.
+        # When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running.
+        # After creating the endpoint, wait for the model deployment to complete before using it.
+        # To verify the deployment status, use the get trained model statistics API.
+        # Look for +"state": "fully_allocated"+ in the response and ensure that the +"allocation_count"+ matches the +"target_allocation_count"+.
+        # Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.
+        #
+        # @option arguments [String] :task_type The task type.
+        #  The only valid task type for the model to perform is +text_embedding+. (*Required*)
+        # @option arguments [String] :watsonx_inference_id The unique identifier of the inference endpoint. (*Required*)
+        # @option arguments [Hash] :headers Custom HTTP headers
+        # @option arguments [Hash] :body request body
+        #
+        # @see https://www.elastic.co/guide/en/elasticsearch/reference/current/infer-service-watsonx-ai.html
+        #
+        def put_watsonx(arguments = {})
+          request_opts = { endpoint: arguments[:endpoint] || 'inference.put_watsonx' }
+
+          defined_params = [:task_type, :watsonx_inference_id].inject({}) do |set_variables, variable|
+            set_variables[variable] = arguments[variable] if arguments.key?(variable)
+            set_variables
+          end
+          request_opts[:defined_params] = defined_params unless defined_params.empty?
+
+          raise ArgumentError, "Required argument 'task_type' missing" unless arguments[:task_type]
+
+          raise ArgumentError,
+                "Required argument 'watsonx_inference_id' missing" unless arguments[:watsonx_inference_id]
+
+          arguments = arguments.clone
+          headers = arguments.delete(:headers) || {}
+
+          body = arguments.delete(:body)
+
+          _task_type = arguments.delete(:task_type)
+
+          _watsonx_inference_id = arguments.delete(:watsonx_inference_id)
+
+          method = Elasticsearch::API::HTTP_PUT
+          path   = "_inference/#{Utils.__listify(_task_type)}/#{Utils.__listify(_watsonx_inference_id)}"
+          params = {}
+
+          Elasticsearch::API::Response.new(
+            perform_request(method, path, params, body, headers, request_opts)
+          )
+        end
+      end
+    end
+  end
+end