feat(api): manual updates

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 99
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-794a6ed3c3d3d77887564755168056af8a426b17cf1ec721e3a300503dc22a41.yml
-openapi_spec_hash: 25a81c220713cd5b0bafc221d1dfa79a
-config_hash: 0b768ed1b56c6d82816f0fa40dc4aaf5
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-161ca7f1cfd7b33c1fc07d0ce25dfe4be5a7271c394f4cb526b7fb21b0729900.yml
+openapi_spec_hash: 602e14add4bee018c6774e320ce309b8
+config_hash: bdacc55eb995c15255ec82130eb8c3bb

lib/openai.rb

@@ -182,6 +182,7 @@
 require_relative "openai/models/beta/threads/text_delta_block"
 require_relative "openai/models/beta/thread_stream_event"
 require_relative "openai/models/beta/thread_update_params"
+require_relative "openai/models/beta/truncation_object"
 require_relative "openai/models/chat/chat_completion"
 require_relative "openai/models/chat/chat_completion_assistant_message_param"
 require_relative "openai/models/chat/chat_completion_audio"
@@ -234,13 +235,18 @@
 require_relative "openai/models/eval_custom_data_source_config"
 require_relative "openai/models/eval_delete_params"
 require_relative "openai/models/eval_delete_response"
+require_relative "openai/models/eval_item"
 require_relative "openai/models/eval_list_params"
 require_relative "openai/models/eval_list_response"
+require_relative "openai/models/eval_logs_data_source_config"
 require_relative "openai/models/eval_retrieve_params"
 require_relative "openai/models/eval_retrieve_response"
 require_relative "openai/models/evals/create_eval_completions_run_data_source"
 require_relative "openai/models/evals/create_eval_jsonl_run_data_source"
+require_relative "openai/models/evals/create_eval_responses_run_data_source"
 require_relative "openai/models/evals/eval_api_error"
+require_relative "openai/models/evals/eval_jsonl_file_content_source"
+require_relative "openai/models/evals/eval_jsonl_file_id_source"
 require_relative "openai/models/evals/run_cancel_params"
 require_relative "openai/models/evals/run_cancel_response"
 require_relative "openai/models/evals/run_create_params"
@@ -425,6 +431,7 @@
 require_relative "openai/models/vector_store_create_params"
 require_relative "openai/models/vector_store_deleted"
 require_relative "openai/models/vector_store_delete_params"
+require_relative "openai/models/vector_store_expiration_after"
 require_relative "openai/models/vector_store_list_params"
 require_relative "openai/models/vector_store_retrieve_params"
 require_relative "openai/models/vector_stores/file_batch_cancel_params"

lib/openai/models.rb

@@ -86,8 +86,12 @@ module OpenAI
 
   EvalDeleteParams = OpenAI::Models::EvalDeleteParams
 
+  EvalItem = OpenAI::Models::EvalItem
+
   EvalListParams = OpenAI::Models::EvalListParams
 
+  EvalLogsDataSourceConfig = OpenAI::Models::EvalLogsDataSourceConfig
+
   EvalRetrieveParams = OpenAI::Models::EvalRetrieveParams
 
   Evals = OpenAI::Models::Evals
@@ -204,6 +208,8 @@ module OpenAI
 
   VectorStoreDeleteParams = OpenAI::Models::VectorStoreDeleteParams
 
+  VectorStoreExpirationAfter = OpenAI::Models::VectorStoreExpirationAfter
+
   VectorStoreListParams = OpenAI::Models::VectorStoreListParams
 
   VectorStoreRetrieveParams = OpenAI::Models::VectorStoreRetrieveParams

lib/openai/models/audio/transcription_create_params.rb

@@ -25,6 +25,17 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
         #   @return [String, Symbol, OpenAI::AudioModel]
         required :model, union: -> { OpenAI::Audio::TranscriptionCreateParams::Model }
 
+        # @!attribute chunking_strategy
+        #   Controls how the audio is cut into chunks. When set to `"auto"`, the server
+        #   first normalizes loudness and then uses voice activity detection (VAD) to choose
+        #   boundaries. `server_vad` object can be provided to tweak VAD detection
+        #   parameters manually. If unset, the audio is transcribed as a single block.
+        #
+        #   @return [Symbol, :auto, OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig, nil]
+        optional :chunking_strategy,
+                 union: -> { OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy },
+                 nil?: true
+
         # @!attribute include
         #   Additional information to include in the transcription response. `logprobs` will
         #   return the log probabilities of the tokens in the response to understand the
@@ -83,14 +94,16 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
                    OpenAI::Internal::Type::ArrayOf[enum: OpenAI::Audio::TranscriptionCreateParams::TimestampGranularity]
                  }
 
-        # @!method initialize(file:, model:, include: nil, language: nil, prompt: nil, response_format: nil, temperature: nil, timestamp_granularities: nil, request_options: {})
+        # @!method initialize(file:, model:, chunking_strategy: nil, include: nil, language: nil, prompt: nil, response_format: nil, temperature: nil, timestamp_granularities: nil, request_options: {})
         #   Some parameter documentations has been truncated, see
         #   {OpenAI::Models::Audio::TranscriptionCreateParams} for more details.
         #
         #   @param file [Pathname, StringIO, IO, OpenAI::FilePart] The audio file object (not file name) to transcribe, in one of these formats: fl
         #
         #   @param model [String, Symbol, OpenAI::AudioModel] ID of the model to use. The options are `gpt-4o-transcribe`, `gpt-4o-mini-transc
         #
+        #   @param chunking_strategy [Symbol, :auto, OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig, nil] Controls how the audio is cut into chunks. When set to `"auto"`, the server firs
+        #
         #   @param include [Array<Symbol, OpenAI::Audio::TranscriptionInclude>] Additional information to include in the transcription response.
         #
         #   @param language [String] The language of the input audio. Supplying the input language in [ISO-639-1](htt
@@ -124,6 +137,86 @@ module Model
           end
         end
 
+        # Controls how the audio is cut into chunks. When set to `"auto"`, the server
+        # first normalizes loudness and then uses voice activity detection (VAD) to choose
+        # boundaries. `server_vad` object can be provided to tweak VAD detection
+        # parameters manually. If unset, the audio is transcribed as a single block.
+        module ChunkingStrategy
+          extend OpenAI::Internal::Type::Union
+
+          # Automatically set chunking parameters based on the audio. Must be set to `"auto"`.
+          variant const: :auto
+
+          variant -> { OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig }
+
+          class VadConfig < OpenAI::Internal::Type::BaseModel
+            # @!attribute type
+            #   Must be set to `server_vad` to enable manual chunking using server side VAD.
+            #
+            #   @return [Symbol, OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig::Type]
+            required :type,
+                     enum: -> {
+                       OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig::Type
+                     }
+
+            # @!attribute prefix_padding_ms
+            #   Amount of audio to include before the VAD detected speech (in milliseconds).
+            #
+            #   @return [Integer, nil]
+            optional :prefix_padding_ms, Integer
+
+            # @!attribute silence_duration_ms
+            #   Duration of silence to detect speech stop (in milliseconds). With shorter values
+            #   the model will respond more quickly, but may jump in on short pauses from the
+            #   user.
+            #
+            #   @return [Integer, nil]
+            optional :silence_duration_ms, Integer
+
+            # @!attribute threshold
+            #   Sensitivity threshold (0.0 to 1.0) for voice activity detection. A higher
+            #   threshold will require louder audio to activate the model, and thus might
+            #   perform better in noisy environments.
+            #
+            #   @return [Float, nil]
+            optional :threshold, Float
+
+            # @!method initialize(type:, prefix_padding_ms: nil, silence_duration_ms: nil, threshold: nil)
+            #   Some parameter documentations has been truncated, see
+            #   {OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig} for more
+            #   details.
+            #
+            #   @param type [Symbol, OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig::Type] Must be set to `server_vad` to enable manual chunking using server side VAD.
+            #
+            #   @param prefix_padding_ms [Integer] Amount of audio to include before the VAD detected speech (in
+            #
+            #   @param silence_duration_ms [Integer] Duration of silence to detect speech stop (in milliseconds).
+            #
+            #   @param threshold [Float] Sensitivity threshold (0.0 to 1.0) for voice activity detection. A
+
+            # Must be set to `server_vad` to enable manual chunking using server side VAD.
+            #
+            # @see OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig#type
+            module Type
+              extend OpenAI::Internal::Type::Enum
+
+              SERVER_VAD = :server_vad
+
+              # @!method self.values
+              #   @return [Array<Symbol>]
+            end
+          end
+
+          # @!method self.variants
+          #   @return [Array(Symbol, :auto, OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig)]
+
+          define_sorbet_constant!(:Variants) do
+            T.type_alias do
+              T.any(Symbol, OpenAI::Audio::TranscriptionCreateParams::ChunkingStrategy::VadConfig)
+            end
+          end
+        end
+
         module TimestampGranularity
           extend OpenAI::Internal::Type::Enum
 

lib/openai/models/beta/thread_create_and_run_params.rb

@@ -159,10 +159,8 @@ class ThreadCreateAndRunParams < OpenAI::Internal::Type::BaseModel
         #   Controls for how a thread will be truncated prior to the run. Use this to
         #   control the intial context window of the run.
         #
-        #   @return [OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy, nil]
-        optional :truncation_strategy,
-                 -> { OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy },
-                 nil?: true
+        #   @return [OpenAI::Beta::TruncationObject, nil]
+        optional :truncation_strategy, -> { OpenAI::Beta::TruncationObject }, nil?: true
 
         # @!method initialize(assistant_id:, instructions: nil, max_completion_tokens: nil, max_prompt_tokens: nil, metadata: nil, model: nil, parallel_tool_calls: nil, response_format: nil, temperature: nil, thread: nil, tool_choice: nil, tool_resources: nil, tools: nil, top_p: nil, truncation_strategy: nil, request_options: {})
         #   Some parameter documentations has been truncated, see
@@ -196,7 +194,7 @@ class ThreadCreateAndRunParams < OpenAI::Internal::Type::BaseModel
         #
         #   @param top_p [Float, nil] An alternative to sampling with temperature, called nucleus sampling, where the
         #
-        #   @param truncation_strategy [OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy, nil] Controls for how a thread will be truncated prior to the run. Use this to contro
+        #   @param truncation_strategy [OpenAI::Beta::TruncationObject, nil] Controls for how a thread will be truncated prior to the run. Use this to contro
         #
         #   @param request_options [OpenAI::RequestOptions, Hash{Symbol=>Object}]
 
@@ -708,51 +706,6 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
             #   @param vector_store_ids [Array<String>] The ID of the [vector store](https://platform.openai.com/docs/api-reference/vect
           end
         end
-
-        class TruncationStrategy < OpenAI::Internal::Type::BaseModel
-          # @!attribute type
-          #   The truncation strategy to use for the thread. The default is `auto`. If set to
-          #   `last_messages`, the thread will be truncated to the n most recent messages in
-          #   the thread. When set to `auto`, messages in the middle of the thread will be
-          #   dropped to fit the context length of the model, `max_prompt_tokens`.
-          #
-          #   @return [Symbol, OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy::Type]
-          required :type, enum: -> { OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy::Type }
-
-          # @!attribute last_messages
-          #   The number of most recent messages from the thread when constructing the context
-          #   for the run.
-          #
-          #   @return [Integer, nil]
-          optional :last_messages, Integer, nil?: true
-
-          # @!method initialize(type:, last_messages: nil)
-          #   Some parameter documentations has been truncated, see
-          #   {OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy} for more details.
-          #
-          #   Controls for how a thread will be truncated prior to the run. Use this to
-          #   control the intial context window of the run.
-          #
-          #   @param type [Symbol, OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy::Type] The truncation strategy to use for the thread. The default is `auto`. If set to
-          #
-          #   @param last_messages [Integer, nil] The number of most recent messages from the thread when constructing the context
-
-          # The truncation strategy to use for the thread. The default is `auto`. If set to
-          # `last_messages`, the thread will be truncated to the n most recent messages in
-          # the thread. When set to `auto`, messages in the middle of the thread will be
-          # dropped to fit the context length of the model, `max_prompt_tokens`.
-          #
-          # @see OpenAI::Beta::ThreadCreateAndRunParams::TruncationStrategy#type
-          module Type
-            extend OpenAI::Internal::Type::Enum
-
-            AUTO = :auto
-            LAST_MESSAGES = :last_messages
-
-            # @!method self.values
-            #   @return [Array<Symbol>]
-          end
-        end
       end
     end
   end

lib/openai/models/beta/threads/run.rb

@@ -197,8 +197,8 @@ class Run < OpenAI::Internal::Type::BaseModel
           #   Controls for how a thread will be truncated prior to the run. Use this to
           #   control the intial context window of the run.
           #
-          #   @return [OpenAI::Beta::Threads::Run::TruncationStrategy, nil]
-          required :truncation_strategy, -> { OpenAI::Beta::Threads::Run::TruncationStrategy }, nil?: true
+          #   @return [OpenAI::Beta::TruncationObject, nil]
+          required :truncation_strategy, -> { OpenAI::Beta::TruncationObject }, nil?: true
 
           # @!attribute usage
           #   Usage statistics related to the run. This value will be `null` if the run is not
@@ -270,7 +270,7 @@ class Run < OpenAI::Internal::Type::BaseModel
           #
           #   @param tools [Array<OpenAI::Beta::CodeInterpreterTool, OpenAI::Beta::FileSearchTool, OpenAI::Beta::FunctionTool>] The list of tools that the [assistant](https://platform.openai.com/docs/api-refe
           #
-          #   @param truncation_strategy [OpenAI::Beta::Threads::Run::TruncationStrategy, nil] Controls for how a thread will be truncated prior to the run. Use this to contro
+          #   @param truncation_strategy [OpenAI::Beta::TruncationObject, nil] Controls for how a thread will be truncated prior to the run. Use this to contro
           #
           #   @param usage [OpenAI::Beta::Threads::Run::Usage, nil] Usage statistics related to the run. This value will be `null` if the run is not
           #
@@ -392,52 +392,6 @@ class SubmitToolOutputs < OpenAI::Internal::Type::BaseModel
             end
           end
 
-          # @see OpenAI::Beta::Threads::Run#truncation_strategy
-          class TruncationStrategy < OpenAI::Internal::Type::BaseModel
-            # @!attribute type
-            #   The truncation strategy to use for the thread. The default is `auto`. If set to
-            #   `last_messages`, the thread will be truncated to the n most recent messages in
-            #   the thread. When set to `auto`, messages in the middle of the thread will be
-            #   dropped to fit the context length of the model, `max_prompt_tokens`.
-            #
-            #   @return [Symbol, OpenAI::Beta::Threads::Run::TruncationStrategy::Type]
-            required :type, enum: -> { OpenAI::Beta::Threads::Run::TruncationStrategy::Type }
-
-            # @!attribute last_messages
-            #   The number of most recent messages from the thread when constructing the context
-            #   for the run.
-            #
-            #   @return [Integer, nil]
-            optional :last_messages, Integer, nil?: true
-
-            # @!method initialize(type:, last_messages: nil)
-            #   Some parameter documentations has been truncated, see
-            #   {OpenAI::Beta::Threads::Run::TruncationStrategy} for more details.
-            #
-            #   Controls for how a thread will be truncated prior to the run. Use this to
-            #   control the intial context window of the run.
-            #
-            #   @param type [Symbol, OpenAI::Beta::Threads::Run::TruncationStrategy::Type] The truncation strategy to use for the thread. The default is `auto`. If set to
-            #
-            #   @param last_messages [Integer, nil] The number of most recent messages from the thread when constructing the context
-
-            # The truncation strategy to use for the thread. The default is `auto`. If set to
-            # `last_messages`, the thread will be truncated to the n most recent messages in
-            # the thread. When set to `auto`, messages in the middle of the thread will be
-            # dropped to fit the context length of the model, `max_prompt_tokens`.
-            #
-            # @see OpenAI::Beta::Threads::Run::TruncationStrategy#type
-            module Type
-              extend OpenAI::Internal::Type::Enum
-
-              AUTO = :auto
-              LAST_MESSAGES = :last_messages
-
-              # @!method self.values
-              #   @return [Array<Symbol>]
-            end
-          end
-
           # @see OpenAI::Beta::Threads::Run#usage
           class Usage < OpenAI::Internal::Type::BaseModel
             # @!attribute completion_tokens