feat(api): adding new image model support

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 95
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-5633633cc38734869cf7d993f7b549bb8e4d10e0ec45381ec2cd91507cd8eb8f.yml
-openapi_spec_hash: c855121b2b2324b99499c9244c21d24d
-config_hash: d20837393b73efdb19cd08e04c1cc9a1
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-8b68ae6b807dca92e914da1dd9e835a20f69b075e79102a264367fd7fddddb33.yml
+openapi_spec_hash: b6ade5b1a6327339e6669e1134de2d03
+config_hash: b597cd9a31e9e5ec709e2eefb4c54122

lib/openai.rb

@@ -363,6 +363,10 @@
 require_relative "openai/models/responses/response_output_refusal"
 require_relative "openai/models/responses/response_output_text"
 require_relative "openai/models/responses/response_reasoning_item"
+require_relative "openai/models/responses/response_reasoning_summary_part_added_event"
+require_relative "openai/models/responses/response_reasoning_summary_part_done_event"
+require_relative "openai/models/responses/response_reasoning_summary_text_delta_event"
+require_relative "openai/models/responses/response_reasoning_summary_text_done_event"
 require_relative "openai/models/responses/response_refusal_delta_event"
 require_relative "openai/models/responses/response_refusal_done_event"
 require_relative "openai/models/responses/response_retrieve_params"

lib/openai/models/beta/thread_create_and_run_params.rb

@@ -140,7 +140,7 @@ class ThreadCreateAndRunParams < OpenAI::Internal::Type::BaseModel
         #
         #   @return [Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>, nil]
         optional :tools,
-                 -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::Beta::ThreadCreateAndRunParams::Tool] },
+                 -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::Beta::AssistantTool] },
                  nil?: true
 
         # @!attribute top_p
@@ -584,19 +584,6 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
           end
         end
 
-        module Tool
-          extend OpenAI::Internal::Type::Union
-
-          variant -> { OpenAI::Models::Beta::CodeInterpreterTool }
-
-          variant -> { OpenAI::Models::Beta::FileSearchTool }
-
-          variant -> { OpenAI::Models::Beta::FunctionTool }
-
-          # @!method self.variants
-          #   @return [Array(OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool)]
-        end
-
         class TruncationStrategy < OpenAI::Internal::Type::BaseModel
           # @!attribute type
           #   The truncation strategy to use for the thread. The default is `auto`. If set to

lib/openai/models/eval_create_params.rb

@@ -45,20 +45,14 @@ class EvalCreateResponse < OpenAI::Internal::Type::BaseModel
       #   @return [Symbol, :eval]
       required :object, const: :eval
 
-      # @!attribute share_with_openai
-      #   Indicates whether the evaluation is shared with OpenAI.
-      #
-      #   @return [Boolean]
-      required :share_with_openai, OpenAI::Internal::Type::Boolean
-
       # @!attribute testing_criteria
       #   A list of testing criteria.
       #
-      #   @return [Array<OpenAI::Models::EvalLabelModelGrader, OpenAI::Models::EvalStringCheckGrader, OpenAI::Models::EvalTextSimilarityGrader>]
+      #   @return [Array<OpenAI::Models::EvalLabelModelGrader, OpenAI::Models::EvalStringCheckGrader, OpenAI::Models::EvalTextSimilarityGrader, OpenAI::Models::EvalCreateResponse::TestingCriterion::Python, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel>]
       required :testing_criteria,
                -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::EvalCreateResponse::TestingCriterion] }
 
-      # @!method initialize(id:, created_at:, data_source_config:, metadata:, name:, share_with_openai:, testing_criteria:, object: :eval)
+      # @!method initialize(id:, created_at:, data_source_config:, metadata:, name:, testing_criteria:, object: :eval)
       #   An Eval object with a data source config and testing criteria. An Eval
       #   represents a task to be done for your LLM integration. Like:
       #
@@ -71,8 +65,7 @@ class EvalCreateResponse < OpenAI::Internal::Type::BaseModel
       #   @param data_source_config [OpenAI::Models::EvalCustomDataSourceConfig, OpenAI::Models::EvalStoredCompletionsDataSourceConfig]
       #   @param metadata [Hash{Symbol=>String}, nil]
       #   @param name [String]
-      #   @param share_with_openai [Boolean]
-      #   @param testing_criteria [Array<OpenAI::Models::EvalLabelModelGrader, OpenAI::Models::EvalStringCheckGrader, OpenAI::Models::EvalTextSimilarityGrader>]
+      #   @param testing_criteria [Array<OpenAI::Models::EvalLabelModelGrader, OpenAI::Models::EvalStringCheckGrader, OpenAI::Models::EvalTextSimilarityGrader, OpenAI::Models::EvalCreateResponse::TestingCriterion::Python, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel>]
       #   @param object [Symbol, :eval]
 
       # Configuration of data sources used in runs of the evaluation.
@@ -116,8 +109,211 @@ module TestingCriterion
         # A TextSimilarityGrader object which grades text based on similarity metrics.
         variant :text_similarity, -> { OpenAI::Models::EvalTextSimilarityGrader }
 
+        # A PythonGrader object that runs a python script on the input.
+        variant :python, -> { OpenAI::Models::EvalCreateResponse::TestingCriterion::Python }
+
+        # A ScoreModelGrader object that uses a model to assign a score to the input.
+        variant :score_model, -> { OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel }
+
+        class Python < OpenAI::Internal::Type::BaseModel
+          # @!attribute name
+          #   The name of the grader.
+          #
+          #   @return [String]
+          required :name, String
+
+          # @!attribute source
+          #   The source code of the python script.
+          #
+          #   @return [String]
+          required :source, String
+
+          # @!attribute type
+          #   The object type, which is always `python`.
+          #
+          #   @return [Symbol, :python]
+          required :type, const: :python
+
+          # @!attribute image_tag
+          #   The image tag to use for the python script.
+          #
+          #   @return [String, nil]
+          optional :image_tag, String
+
+          # @!attribute pass_threshold
+          #   The threshold for the score.
+          #
+          #   @return [Float, nil]
+          optional :pass_threshold, Float
+
+          # @!method initialize(name:, source:, image_tag: nil, pass_threshold: nil, type: :python)
+          #   A PythonGrader object that runs a python script on the input.
+          #
+          #   @param name [String]
+          #   @param source [String]
+          #   @param image_tag [String]
+          #   @param pass_threshold [Float]
+          #   @param type [Symbol, :python]
+        end
+
+        class ScoreModel < OpenAI::Internal::Type::BaseModel
+          # @!attribute input
+          #   The input text. This may include template strings.
+          #
+          #   @return [Array<OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input>]
+          required :input,
+                   -> { OpenAI::Internal::Type::ArrayOf[OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input] }
+
+          # @!attribute model
+          #   The model to use for the evaluation.
+          #
+          #   @return [String]
+          required :model, String
+
+          # @!attribute name
+          #   The name of the grader.
+          #
+          #   @return [String]
+          required :name, String
+
+          # @!attribute type
+          #   The object type, which is always `score_model`.
+          #
+          #   @return [Symbol, :score_model]
+          required :type, const: :score_model
+
+          # @!attribute pass_threshold
+          #   The threshold for the score.
+          #
+          #   @return [Float, nil]
+          optional :pass_threshold, Float
+
+          # @!attribute range
+          #   The range of the score. Defaults to `[0, 1]`.
+          #
+          #   @return [Array<Float>, nil]
+          optional :range, OpenAI::Internal::Type::ArrayOf[Float]
+
+          # @!attribute sampling_params
+          #   The sampling parameters for the model.
+          #
+          #   @return [Object, nil]
+          optional :sampling_params, OpenAI::Internal::Type::Unknown
+
+          # @!method initialize(input:, model:, name:, pass_threshold: nil, range: nil, sampling_params: nil, type: :score_model)
+          #   A ScoreModelGrader object that uses a model to assign a score to the input.
+          #
+          #   @param input [Array<OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input>]
+          #   @param model [String]
+          #   @param name [String]
+          #   @param pass_threshold [Float]
+          #   @param range [Array<Float>]
+          #   @param sampling_params [Object]
+          #   @param type [Symbol, :score_model]
+
+          class Input < OpenAI::Internal::Type::BaseModel
+            # @!attribute content
+            #   Text inputs to the model - can contain template strings.
+            #
+            #   @return [String, OpenAI::Models::Responses::ResponseInputText, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Content::OutputText]
+            required :content,
+                     union: -> { OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Content }
+
+            # @!attribute role
+            #   The role of the message input. One of `user`, `assistant`, `system`, or
+            #   `developer`.
+            #
+            #   @return [Symbol, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Role]
+            required :role, enum: -> { OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Role }
+
+            # @!attribute type
+            #   The type of the message input. Always `message`.
+            #
+            #   @return [Symbol, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Type, nil]
+            optional :type, enum: -> { OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Type }
+
+            # @!method initialize(content:, role:, type: nil)
+            #   A message input to the model with a role indicating instruction following
+            #   hierarchy. Instructions given with the `developer` or `system` role take
+            #   precedence over instructions given with the `user` role. Messages with the
+            #   `assistant` role are presumed to have been generated by the model in previous
+            #   interactions.
+            #
+            #   @param content [String, OpenAI::Models::Responses::ResponseInputText, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Content::OutputText]
+            #   @param role [Symbol, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Role]
+            #   @param type [Symbol, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Type]
+
+            # Text inputs to the model - can contain template strings.
+            #
+            # @see OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input#content
+            module Content
+              extend OpenAI::Internal::Type::Union
+
+              # A text input to the model.
+              variant String
+
+              # A text input to the model.
+              variant -> { OpenAI::Models::Responses::ResponseInputText }
+
+              # A text output from the model.
+              variant -> { OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Content::OutputText }
+
+              class OutputText < OpenAI::Internal::Type::BaseModel
+                # @!attribute text
+                #   The text output from the model.
+                #
+                #   @return [String]
+                required :text, String
+
+                # @!attribute type
+                #   The type of the output text. Always `output_text`.
+                #
+                #   @return [Symbol, :output_text]
+                required :type, const: :output_text
+
+                # @!method initialize(text:, type: :output_text)
+                #   A text output from the model.
+                #
+                #   @param text [String]
+                #   @param type [Symbol, :output_text]
+              end
+
+              # @!method self.variants
+              #   @return [Array(String, OpenAI::Models::Responses::ResponseInputText, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input::Content::OutputText)]
+            end
+
+            # The role of the message input. One of `user`, `assistant`, `system`, or
+            # `developer`.
+            #
+            # @see OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input#role
+            module Role
+              extend OpenAI::Internal::Type::Enum
+
+              USER = :user
+              ASSISTANT = :assistant
+              SYSTEM = :system
+              DEVELOPER = :developer
+
+              # @!method self.values
+              #   @return [Array<Symbol>]
+            end
+
+            # The type of the message input. Always `message`.
+            #
+            # @see OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel::Input#type
+            module Type
+              extend OpenAI::Internal::Type::Enum
+
+              MESSAGE = :message
+
+              # @!method self.values
+              #   @return [Array<Symbol>]
+            end
+          end
+        end
+
         # @!method self.variants
-        #   @return [Array(OpenAI::Models::EvalLabelModelGrader, OpenAI::Models::EvalStringCheckGrader, OpenAI::Models::EvalTextSimilarityGrader)]
+        #   @return [Array(OpenAI::Models::EvalLabelModelGrader, OpenAI::Models::EvalStringCheckGrader, OpenAI::Models::EvalTextSimilarityGrader, OpenAI::Models::EvalCreateResponse::TestingCriterion::Python, OpenAI::Models::EvalCreateResponse::TestingCriterion::ScoreModel)]
       end
     end
   end