diff --git a/.solargraph.yml b/.solargraph.yml
index 4f571833..18a89fcb 100644
--- a/.solargraph.yml
+++ b/.solargraph.yml
@@ -5,6 +5,7 @@ include:
   - 'Rakefile'
   - 'examples/**/*.rb'
   - 'lib/**/*.rb'
+  - 'test/openai/resource_namespaces.rb'
   - 'test/openai/test_helper.rb'
 exclude:
   - 'rbi/**/*'
diff --git a/lib/openai/internal/transport/base_client.rb b/lib/openai/internal/transport/base_client.rb
index a46be452..b2e526d5 100644
--- a/lib/openai/internal/transport/base_client.rb
+++ b/lib/openai/internal/transport/base_client.rb
@@ -393,7 +393,7 @@ def initialize(
         end
 
         # Execute the request specified by `req`. This is the method that all resource
-        #   methods call into.
+        # methods call into.
         #
         # @overload request(method, path, query: {}, headers: {}, body: nil, unwrap: nil, page: nil, stream: nil, model: OpenAI::Internal::Type::Unknown, options: {})
         #
diff --git a/lib/openai/internal/transport/pooled_net_requester.rb b/lib/openai/internal/transport/pooled_net_requester.rb
index 74f76024..3ef69e08 100644
--- a/lib/openai/internal/transport/pooled_net_requester.rb
+++ b/lib/openai/internal/transport/pooled_net_requester.rb
@@ -6,7 +6,7 @@ module Transport
       # @api private
       class PooledNetRequester
         # from the golang stdlib
-        #   https://github.com/golang/go/blob/c8eced8580028328fde7c03cbfcb720ce15b2358/src/net/http/transport.go#L49
+        # https://github.com/golang/go/blob/c8eced8580028328fde7c03cbfcb720ce15b2358/src/net/http/transport.go#L49
         KEEP_ALIVE_TIMEOUT = 30
 
         class << self
diff --git a/lib/openai/internal/type/base_model.rb b/lib/openai/internal/type/base_model.rb
index 1f4f669f..026af072 100644
--- a/lib/openai/internal/type/base_model.rb
+++ b/lib/openai/internal/type/base_model.rb
@@ -19,7 +19,7 @@ class << self
           # @api private
           #
           # Assumes superclass fields are totally defined before fields are accessed /
-          #   defined on subclasses.
+          # defined on subclasses.
           #
           # @return [Hash{Symbol=>Hash{Symbol=>Object}}]
           def known_fields
@@ -143,7 +143,7 @@ def optional(name_sym, type_info, spec = {})
           # @api private
           #
           # `request_only` attributes not excluded from `.#coerce` when receiving responses
-          #   even if well behaved servers should not send them
+          # even if well behaved servers should not send them
           #
           # @param blk [Proc]
           private def request_only(&blk)
@@ -291,11 +291,11 @@ def dump(value)
         end
 
         # Returns the raw value associated with the given key, if found. Otherwise, nil is
-        #   returned.
+        # returned.
         #
-        #   It is valid to lookup keys that are not in the API spec, for example to access
-        #   undocumented features. This method does not parse response data into
-        #   higher-level types. Lookup by anything other than a Symbol is an ArgumentError.
+        # It is valid to lookup keys that are not in the API spec, for example to access
+        # undocumented features. This method does not parse response data into
+        # higher-level types. Lookup by anything other than a Symbol is an ArgumentError.
         #
         # @param key [Symbol]
         #
@@ -310,12 +310,12 @@ def [](key)
 
         # Returns a Hash of the data underlying this object. O(1)
         #
-        #   Keys are Symbols and values are the raw values from the response. The return
-        #   value indicates which values were ever set on the object. i.e. there will be a
-        #   key in this hash if they ever were, even if the set value was nil.
+        # Keys are Symbols and values are the raw values from the response. The return
+        # value indicates which values were ever set on the object. i.e. there will be a
+        # key in this hash if they ever were, even if the set value was nil.
         #
-        #   This method is not recursive. The returned value is shared by the object, so it
-        #   should not be mutated.
+        # This method is not recursive. The returned value is shared by the object, so it
+        # should not be mutated.
         #
         # @return [Hash{Symbol=>Object}]
         def to_h = @data
diff --git a/lib/openai/internal/type/converter.rb b/lib/openai/internal/type/converter.rb
index 1fbf548f..ef77d9eb 100644
--- a/lib/openai/internal/type/converter.rb
+++ b/lib/openai/internal/type/converter.rb
@@ -75,37 +75,37 @@ def type_info(spec)
           #
           # Based on `target`, transform `value` into `target`, to the extent possible:
           #
-          #   1. if the given `value` conforms to `target` already, return the given `value`
-          #   2. if it's possible and safe to convert the given `value` to `target`, then the
-          #      converted value
-          #   3. otherwise, the given `value` unaltered
+          # 1. if the given `value` conforms to `target` already, return the given `value`
+          # 2. if it's possible and safe to convert the given `value` to `target`, then the
+          #    converted value
+          # 3. otherwise, the given `value` unaltered
           #
-          #   The coercion process is subject to improvement between minor release versions.
-          #   See https://docs.pydantic.dev/latest/concepts/unions/#smart-mode
+          # The coercion process is subject to improvement between minor release versions.
+          # See https://docs.pydantic.dev/latest/concepts/unions/#smart-mode
           #
           # @param target [OpenAI::Internal::Type::Converter, Class]
           #
           # @param value [Object]
           #
           # @param state [Hash{Symbol=>Object}] The `strictness` is one of `true`, `false`, or `:strong`. This informs the
-          #   coercion strategy when we have to decide between multiple possible conversion
-          #   targets:
+          # coercion strategy when we have to decide between multiple possible conversion
+          # targets:
           #
-          #   - `true`: the conversion must be exact, with minimum coercion.
-          #   - `false`: the conversion can be approximate, with some coercion.
-          #   - `:strong`: the conversion must be exact, with no coercion, and raise an error
-          #     if not possible.
+          # - `true`: the conversion must be exact, with minimum coercion.
+          # - `false`: the conversion can be approximate, with some coercion.
+          # - `:strong`: the conversion must be exact, with no coercion, and raise an error
+          #   if not possible.
           #
-          #   The `exactness` is `Hash` with keys being one of `yes`, `no`, or `maybe`. For
-          #   any given conversion attempt, the exactness will be updated based on how closely
-          #   the value recursively matches the target type:
+          # The `exactness` is `Hash` with keys being one of `yes`, `no`, or `maybe`. For
+          # any given conversion attempt, the exactness will be updated based on how closely
+          # the value recursively matches the target type:
           #
-          #   - `yes`: the value can be converted to the target type with minimum coercion.
-          #   - `maybe`: the value can be converted to the target type with some reasonable
-          #     coercion.
-          #   - `no`: the value cannot be converted to the target type.
+          # - `yes`: the value can be converted to the target type with minimum coercion.
+          # - `maybe`: the value can be converted to the target type with some reasonable
+          #   coercion.
+          # - `no`: the value cannot be converted to the target type.
           #
-          #   See implementation below for more details.
+          # See implementation below for more details.
           #
           #   @option state [Boolean, :strong] :strictness
           #
diff --git a/lib/openai/internal/type/enum.rb b/lib/openai/internal/type/enum.rb
index 5ba8860c..2a005d61 100644
--- a/lib/openai/internal/type/enum.rb
+++ b/lib/openai/internal/type/enum.rb
@@ -6,15 +6,15 @@ module Type
       # @api private
       #
       # A value from among a specified list of options. OpenAPI enum values map to Ruby
-      #   values in the SDK as follows:
+      # values in the SDK as follows:
       #
-      #   1. boolean => true | false
-      #   2. integer => Integer
-      #   3. float => Float
-      #   4. string => Symbol
+      # 1. boolean => true | false
+      # 2. integer => Integer
+      # 3. float => Float
+      # 4. string => Symbol
       #
-      #   We can therefore convert string values to Symbols, but can't convert other
-      #   values safely.
+      # We can therefore convert string values to Symbols, but can't convert other
+      # values safely.
       #
       # @example
       #   # `chat_model` is a `OpenAI::Models::ChatModel`
@@ -70,7 +70,7 @@ def ==(other)
         # @api private
         #
         # Unlike with primitives, `Enum` additionally validates that the value is a member
-        #   of the enum.
+        # of the enum.
         #
         # @param value [String, Symbol, Object]
         #
diff --git a/lib/openai/internal/util.rb b/lib/openai/internal/util.rb
index 7fa9d32d..fd5e4b81 100644
--- a/lib/openai/internal/util.rb
+++ b/lib/openai/internal/util.rb
@@ -152,7 +152,7 @@ class << self
         # @api private
         #
         # Recursively merge one hash with another. If the values at a given key are not
-        #   both hashes, just take the new value.
+        # both hashes, just take the new value.
         #
         # @param values [Array<Object>]
         #
diff --git a/lib/openai/models/audio/speech_create_params.rb b/lib/openai/models/audio/speech_create_params.rb
index 94b31a52..ba364d38 100644
--- a/lib/openai/models/audio/speech_create_params.rb
+++ b/lib/openai/models/audio/speech_create_params.rb
@@ -17,23 +17,23 @@ class SpeechCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute model
         #   One of the available [TTS models](https://platform.openai.com/docs/models#tts):
-        #     `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
+        #   `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
         #
         #   @return [String, Symbol, OpenAI::Models::Audio::SpeechModel]
         required :model, union: -> { OpenAI::Models::Audio::SpeechCreateParams::Model }
 
         # @!attribute voice
         #   The voice to use when generating the audio. Supported voices are `alloy`, `ash`,
-        #     `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
-        #     `verse`. Previews of the voices are available in the
-        #     [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
+        #   `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
+        #   `verse`. Previews of the voices are available in the
+        #   [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
         #
         #   @return [String, Symbol, OpenAI::Models::Audio::SpeechCreateParams::Voice]
         required :voice, union: -> { OpenAI::Models::Audio::SpeechCreateParams::Voice }
 
         # @!attribute [r] instructions
         #   Control the voice of your generated audio with additional instructions. Does not
-        #     work with `tts-1` or `tts-1-hd`.
+        #   work with `tts-1` or `tts-1-hd`.
         #
         #   @return [String, nil]
         optional :instructions, String
@@ -44,7 +44,7 @@ class SpeechCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] response_format
         #   The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`,
-        #     `wav`, and `pcm`.
+        #   `wav`, and `pcm`.
         #
         #   @return [Symbol, OpenAI::Models::Audio::SpeechCreateParams::ResponseFormat, nil]
         optional :response_format, enum: -> { OpenAI::Models::Audio::SpeechCreateParams::ResponseFormat }
@@ -55,7 +55,7 @@ class SpeechCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] speed
         #   The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is
-        #     the default.
+        #   the default.
         #
         #   @return [Float, nil]
         optional :speed, Float
@@ -78,7 +78,7 @@ class SpeechCreateParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # One of the available [TTS models](https://platform.openai.com/docs/models#tts):
-        #   `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
+        # `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -93,9 +93,9 @@ module Model
         end
 
         # The voice to use when generating the audio. Supported voices are `alloy`, `ash`,
-        #   `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
-        #   `verse`. Previews of the voices are available in the
-        #   [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
+        # `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
+        # `verse`. Previews of the voices are available in the
+        # [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
         module Voice
           extend OpenAI::Internal::Type::Union
 
@@ -145,7 +145,7 @@ module Voice
         end
 
         # The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`,
-        #   `wav`, and `pcm`.
+        # `wav`, and `pcm`.
         module ResponseFormat
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/audio/transcription.rb b/lib/openai/models/audio/transcription.rb
index abe567ce..ead34e3d 100644
--- a/lib/openai/models/audio/transcription.rb
+++ b/lib/openai/models/audio/transcription.rb
@@ -12,8 +12,8 @@ class Transcription < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] logprobs
         #   The log probabilities of the tokens in the transcription. Only returned with the
-        #     models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is added
-        #     to the `include` array.
+        #   models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is added
+        #   to the `include` array.
         #
         #   @return [Array<OpenAI::Models::Audio::Transcription::Logprob>, nil]
         optional :logprobs, -> { OpenAI::Internal::Type::ArrayOf[OpenAI::Models::Audio::Transcription::Logprob] }
@@ -24,7 +24,7 @@ class Transcription < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Represents a transcription response returned by model, based on the provided
-        #   #   input.
+        #   # input.
         #   #
         #   # @param text [String]
         #   # @param logprobs [Array<OpenAI::Models::Audio::Transcription::Logprob>]
diff --git a/lib/openai/models/audio/transcription_create_params.rb b/lib/openai/models/audio/transcription_create_params.rb
index 0cd4367b..2dc55d74 100644
--- a/lib/openai/models/audio/transcription_create_params.rb
+++ b/lib/openai/models/audio/transcription_create_params.rb
@@ -13,25 +13,25 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute file
         #   The audio file object (not file name) to transcribe, in one of these formats:
-        #     flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+        #   flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
         #
         #   @return [IO, StringIO]
         required :file, IO
 
         # @!attribute model
         #   ID of the model to use. The options are `gpt-4o-transcribe`,
-        #     `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
-        #     Whisper V2 model).
+        #   `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
+        #   Whisper V2 model).
         #
         #   @return [String, Symbol, OpenAI::Models::AudioModel]
         required :model, union: -> { OpenAI::Models::Audio::TranscriptionCreateParams::Model }
 
         # @!attribute [r] include
         #   Additional information to include in the transcription response. `logprobs` will
-        #     return the log probabilities of the tokens in the response to understand the
-        #     model's confidence in the transcription. `logprobs` only works with
-        #     response_format set to `json` and only with the models `gpt-4o-transcribe` and
-        #     `gpt-4o-mini-transcribe`.
+        #   return the log probabilities of the tokens in the response to understand the
+        #   model's confidence in the transcription. `logprobs` only works with
+        #   response_format set to `json` and only with the models `gpt-4o-transcribe` and
+        #   `gpt-4o-mini-transcribe`.
         #
         #   @return [Array<Symbol, OpenAI::Models::Audio::TranscriptionInclude>, nil]
         optional :include,
@@ -43,8 +43,8 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] language
         #   The language of the input audio. Supplying the input language in
-        #     [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
-        #     format will improve accuracy and latency.
+        #   [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
+        #   format will improve accuracy and latency.
         #
         #   @return [String, nil]
         optional :language, String
@@ -55,9 +55,9 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] prompt
         #   An optional text to guide the model's style or continue a previous audio
-        #     segment. The
-        #     [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
-        #     should match the audio language.
+        #   segment. The
+        #   [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+        #   should match the audio language.
         #
         #   @return [String, nil]
         optional :prompt, String
@@ -68,8 +68,8 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] response_format
         #   The format of the output, in one of these options: `json`, `text`, `srt`,
-        #     `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
-        #     the only supported format is `json`.
+        #   `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
+        #   the only supported format is `json`.
         #
         #   @return [Symbol, OpenAI::Models::AudioResponseFormat, nil]
         optional :response_format, enum: -> { OpenAI::Models::AudioResponseFormat }
@@ -80,10 +80,10 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] temperature
         #   The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
-        #     output more random, while lower values like 0.2 will make it more focused and
-        #     deterministic. If set to 0, the model will use
-        #     [log probability](https://en.wikipedia.org/wiki/Log_probability) to
-        #     automatically increase the temperature until certain thresholds are hit.
+        #   output more random, while lower values like 0.2 will make it more focused and
+        #   deterministic. If set to 0, the model will use
+        #   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
+        #   automatically increase the temperature until certain thresholds are hit.
         #
         #   @return [Float, nil]
         optional :temperature, Float
@@ -94,10 +94,10 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] timestamp_granularities
         #   The timestamp granularities to populate for this transcription.
-        #     `response_format` must be set `verbose_json` to use timestamp granularities.
-        #     Either or both of these options are supported: `word`, or `segment`. Note: There
-        #     is no additional latency for segment timestamps, but generating word timestamps
-        #     incurs additional latency.
+        #   `response_format` must be set `verbose_json` to use timestamp granularities.
+        #   Either or both of these options are supported: `word`, or `segment`. Note: There
+        #   is no additional latency for segment timestamps, but generating word timestamps
+        #   incurs additional latency.
         #
         #   @return [Array<Symbol, OpenAI::Models::Audio::TranscriptionCreateParams::TimestampGranularity>, nil]
         optional :timestamp_granularities,
@@ -136,8 +136,8 @@ class TranscriptionCreateParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # ID of the model to use. The options are `gpt-4o-transcribe`,
-        #   `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
-        #   Whisper V2 model).
+        # `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
+        # Whisper V2 model).
         module Model
           extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/audio/transcription_create_response.rb b/lib/openai/models/audio/transcription_create_response.rb
index 75cfc88b..69d68b0b 100644
--- a/lib/openai/models/audio/transcription_create_response.rb
+++ b/lib/openai/models/audio/transcription_create_response.rb
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     module Audio
       # Represents a transcription response returned by model, based on the provided
-      #   input.
+      # input.
       #
       # @see OpenAI::Resources::Audio::Transcriptions#create
       #
diff --git a/lib/openai/models/audio/transcription_segment.rb b/lib/openai/models/audio/transcription_segment.rb
index 02990b46..852a77d1 100644
--- a/lib/openai/models/audio/transcription_segment.rb
+++ b/lib/openai/models/audio/transcription_segment.rb
@@ -12,14 +12,14 @@ class TranscriptionSegment < OpenAI::Internal::Type::BaseModel
 
         # @!attribute avg_logprob
         #   Average logprob of the segment. If the value is lower than -1, consider the
-        #     logprobs failed.
+        #   logprobs failed.
         #
         #   @return [Float]
         required :avg_logprob, Float
 
         # @!attribute compression_ratio
         #   Compression ratio of the segment. If the value is greater than 2.4, consider the
-        #     compression failed.
+        #   compression failed.
         #
         #   @return [Float]
         required :compression_ratio, Float
@@ -32,7 +32,7 @@ class TranscriptionSegment < OpenAI::Internal::Type::BaseModel
 
         # @!attribute no_speech_prob
         #   Probability of no speech in the segment. If the value is higher than 1.0 and the
-        #     `avg_logprob` is below -1, consider this segment silent.
+        #   `avg_logprob` is below -1, consider this segment silent.
         #
         #   @return [Float]
         required :no_speech_prob, Float
diff --git a/lib/openai/models/audio/transcription_stream_event.rb b/lib/openai/models/audio/transcription_stream_event.rb
index 171cfd23..de3b63d5 100644
--- a/lib/openai/models/audio/transcription_stream_event.rb
+++ b/lib/openai/models/audio/transcription_stream_event.rb
@@ -4,9 +4,9 @@ module OpenAI
   module Models
     module Audio
       # Emitted when there is an additional text delta. This is also the first event
-      #   emitted when the transcription starts. Only emitted when you
-      #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-      #   with the `Stream` parameter set to `true`.
+      # emitted when the transcription starts. Only emitted when you
+      # [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+      # with the `Stream` parameter set to `true`.
       module TranscriptionStreamEvent
         extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/audio/transcription_text_delta_event.rb b/lib/openai/models/audio/transcription_text_delta_event.rb
index 4a858738..731bf107 100644
--- a/lib/openai/models/audio/transcription_text_delta_event.rb
+++ b/lib/openai/models/audio/transcription_text_delta_event.rb
@@ -18,8 +18,8 @@ class TranscriptionTextDeltaEvent < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] logprobs
         #   The log probabilities of the delta. Only included if you
-        #     [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-        #     with the `include[]` parameter set to `logprobs`.
+        #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+        #   with the `include[]` parameter set to `logprobs`.
         #
         #   @return [Array<OpenAI::Models::Audio::TranscriptionTextDeltaEvent::Logprob>, nil]
         optional :logprobs,
@@ -31,9 +31,9 @@ class TranscriptionTextDeltaEvent < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Emitted when there is an additional text delta. This is also the first event
-        #   #   emitted when the transcription starts. Only emitted when you
-        #   #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-        #   #   with the `Stream` parameter set to `true`.
+        #   # emitted when the transcription starts. Only emitted when you
+        #   # [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+        #   # with the `Stream` parameter set to `true`.
         #   #
         #   # @param delta [String]
         #   # @param logprobs [Array<OpenAI::Models::Audio::TranscriptionTextDeltaEvent::Logprob>]
diff --git a/lib/openai/models/audio/transcription_text_done_event.rb b/lib/openai/models/audio/transcription_text_done_event.rb
index 9795995a..be1ee0fe 100644
--- a/lib/openai/models/audio/transcription_text_done_event.rb
+++ b/lib/openai/models/audio/transcription_text_done_event.rb
@@ -18,9 +18,9 @@ class TranscriptionTextDoneEvent < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] logprobs
         #   The log probabilities of the individual tokens in the transcription. Only
-        #     included if you
-        #     [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-        #     with the `include[]` parameter set to `logprobs`.
+        #   included if you
+        #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+        #   with the `include[]` parameter set to `logprobs`.
         #
         #   @return [Array<OpenAI::Models::Audio::TranscriptionTextDoneEvent::Logprob>, nil]
         optional :logprobs,
@@ -32,9 +32,9 @@ class TranscriptionTextDoneEvent < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Emitted when the transcription is complete. Contains the complete transcription
-        #   #   text. Only emitted when you
-        #   #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-        #   #   with the `Stream` parameter set to `true`.
+        #   # text. Only emitted when you
+        #   # [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+        #   # with the `Stream` parameter set to `true`.
         #   #
         #   # @param text [String]
         #   # @param logprobs [Array<OpenAI::Models::Audio::TranscriptionTextDoneEvent::Logprob>]
diff --git a/lib/openai/models/audio/transcription_verbose.rb b/lib/openai/models/audio/transcription_verbose.rb
index 1dfb5931..80068f85 100644
--- a/lib/openai/models/audio/transcription_verbose.rb
+++ b/lib/openai/models/audio/transcription_verbose.rb
@@ -44,7 +44,7 @@ class TranscriptionVerbose < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Represents a verbose json transcription response returned by model, based on the
-        #   #   provided input.
+        #   # provided input.
         #   #
         #   # @param duration [Float]
         #   # @param language [String]
diff --git a/lib/openai/models/audio/translation_create_params.rb b/lib/openai/models/audio/translation_create_params.rb
index 93833eb2..82b0af2f 100644
--- a/lib/openai/models/audio/translation_create_params.rb
+++ b/lib/openai/models/audio/translation_create_params.rb
@@ -11,23 +11,23 @@ class TranslationCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute file
         #   The audio file object (not file name) translate, in one of these formats: flac,
-        #     mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+        #   mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
         #
         #   @return [IO, StringIO]
         required :file, IO
 
         # @!attribute model
         #   ID of the model to use. Only `whisper-1` (which is powered by our open source
-        #     Whisper V2 model) is currently available.
+        #   Whisper V2 model) is currently available.
         #
         #   @return [String, Symbol, OpenAI::Models::AudioModel]
         required :model, union: -> { OpenAI::Models::Audio::TranslationCreateParams::Model }
 
         # @!attribute [r] prompt
         #   An optional text to guide the model's style or continue a previous audio
-        #     segment. The
-        #     [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
-        #     should be in English.
+        #   segment. The
+        #   [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+        #   should be in English.
         #
         #   @return [String, nil]
         optional :prompt, String
@@ -38,7 +38,7 @@ class TranslationCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] response_format
         #   The format of the output, in one of these options: `json`, `text`, `srt`,
-        #     `verbose_json`, or `vtt`.
+        #   `verbose_json`, or `vtt`.
         #
         #   @return [Symbol, OpenAI::Models::Audio::TranslationCreateParams::ResponseFormat, nil]
         optional :response_format, enum: -> { OpenAI::Models::Audio::TranslationCreateParams::ResponseFormat }
@@ -49,10 +49,10 @@ class TranslationCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] temperature
         #   The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
-        #     output more random, while lower values like 0.2 will make it more focused and
-        #     deterministic. If set to 0, the model will use
-        #     [log probability](https://en.wikipedia.org/wiki/Log_probability) to
-        #     automatically increase the temperature until certain thresholds are hit.
+        #   output more random, while lower values like 0.2 will make it more focused and
+        #   deterministic. If set to 0, the model will use
+        #   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
+        #   automatically increase the temperature until certain thresholds are hit.
         #
         #   @return [Float, nil]
         optional :temperature, Float
@@ -74,7 +74,7 @@ class TranslationCreateParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # ID of the model to use. Only `whisper-1` (which is powered by our open source
-        #   Whisper V2 model) is currently available.
+        # Whisper V2 model) is currently available.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -89,7 +89,7 @@ module Model
         end
 
         # The format of the output, in one of these options: `json`, `text`, `srt`,
-        #   `verbose_json`, or `vtt`.
+        # `verbose_json`, or `vtt`.
         module ResponseFormat
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/audio_response_format.rb b/lib/openai/models/audio_response_format.rb
index 0904c657..2babfc83 100644
--- a/lib/openai/models/audio_response_format.rb
+++ b/lib/openai/models/audio_response_format.rb
@@ -3,8 +3,8 @@
 module OpenAI
   module Models
     # The format of the output, in one of these options: `json`, `text`, `srt`,
-    #   `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
-    #   the only supported format is `json`.
+    # `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
+    # the only supported format is `json`.
     module AudioResponseFormat
       extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/auto_file_chunking_strategy_param.rb b/lib/openai/models/auto_file_chunking_strategy_param.rb
index 15d03f11..a33c9dcc 100644
--- a/lib/openai/models/auto_file_chunking_strategy_param.rb
+++ b/lib/openai/models/auto_file_chunking_strategy_param.rb
@@ -11,7 +11,7 @@ class AutoFileChunkingStrategyParam < OpenAI::Internal::Type::BaseModel
 
       # @!parse
       #   # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
-      #   #   `800` and `chunk_overlap_tokens` of `400`.
+      #   # `800` and `chunk_overlap_tokens` of `400`.
       #   #
       #   # @param type [Symbol, :auto]
       #   #
diff --git a/lib/openai/models/batch.rb b/lib/openai/models/batch.rb
index be9ede39..a490b124 100644
--- a/lib/openai/models/batch.rb
+++ b/lib/openai/models/batch.rb
@@ -146,11 +146,11 @@ class Batch < OpenAI::Internal::Type::BaseModel
 
       # @!attribute metadata
       #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #     for storing additional information about the object in a structured format, and
-      #     querying for objects via API or the dashboard.
+      #   for storing additional information about the object in a structured format, and
+      #   querying for objects via API or the dashboard.
       #
-      #     Keys are strings with a maximum length of 64 characters. Values are strings with
-      #     a maximum length of 512 characters.
+      #   Keys are strings with a maximum length of 64 characters. Values are strings with
+      #   a maximum length of 512 characters.
       #
       #   @return [Hash{Symbol=>String}, nil]
       optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
diff --git a/lib/openai/models/batch_create_params.rb b/lib/openai/models/batch_create_params.rb
index 1549f66e..95548d81 100644
--- a/lib/openai/models/batch_create_params.rb
+++ b/lib/openai/models/batch_create_params.rb
@@ -10,16 +10,16 @@ class BatchCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute completion_window
       #   The time frame within which the batch should be processed. Currently only `24h`
-      #     is supported.
+      #   is supported.
       #
       #   @return [Symbol, OpenAI::Models::BatchCreateParams::CompletionWindow]
       required :completion_window, enum: -> { OpenAI::Models::BatchCreateParams::CompletionWindow }
 
       # @!attribute endpoint
       #   The endpoint to be used for all requests in the batch. Currently
-      #     `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
-      #     are supported. Note that `/v1/embeddings` batches are also restricted to a
-      #     maximum of 50,000 embedding inputs across all requests in the batch.
+      #   `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
+      #   are supported. Note that `/v1/embeddings` batches are also restricted to a
+      #   maximum of 50,000 embedding inputs across all requests in the batch.
       #
       #   @return [Symbol, OpenAI::Models::BatchCreateParams::Endpoint]
       required :endpoint, enum: -> { OpenAI::Models::BatchCreateParams::Endpoint }
@@ -27,24 +27,24 @@ class BatchCreateParams < OpenAI::Internal::Type::BaseModel
       # @!attribute input_file_id
       #   The ID of an uploaded file that contains requests for the new batch.
       #
-      #     See [upload file](https://platform.openai.com/docs/api-reference/files/create)
-      #     for how to upload a file.
+      #   See [upload file](https://platform.openai.com/docs/api-reference/files/create)
+      #   for how to upload a file.
       #
-      #     Your input file must be formatted as a
-      #     [JSONL file](https://platform.openai.com/docs/api-reference/batch/request-input),
-      #     and must be uploaded with the purpose `batch`. The file can contain up to 50,000
-      #     requests, and can be up to 200 MB in size.
+      #   Your input file must be formatted as a
+      #   [JSONL file](https://platform.openai.com/docs/api-reference/batch/request-input),
+      #   and must be uploaded with the purpose `batch`. The file can contain up to 50,000
+      #   requests, and can be up to 200 MB in size.
       #
       #   @return [String]
       required :input_file_id, String
 
       # @!attribute metadata
       #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #     for storing additional information about the object in a structured format, and
-      #     querying for objects via API or the dashboard.
+      #   for storing additional information about the object in a structured format, and
+      #   querying for objects via API or the dashboard.
       #
-      #     Keys are strings with a maximum length of 64 characters. Values are strings with
-      #     a maximum length of 512 characters.
+      #   Keys are strings with a maximum length of 64 characters. Values are strings with
+      #   a maximum length of 512 characters.
       #
       #   @return [Hash{Symbol=>String}, nil]
       optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -61,7 +61,7 @@ class BatchCreateParams < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # The time frame within which the batch should be processed. Currently only `24h`
-      #   is supported.
+      # is supported.
       module CompletionWindow
         extend OpenAI::Internal::Type::Enum
 
@@ -75,9 +75,9 @@ module CompletionWindow
       end
 
       # The endpoint to be used for all requests in the batch. Currently
-      #   `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
-      #   are supported. Note that `/v1/embeddings` batches are also restricted to a
-      #   maximum of 50,000 embedding inputs across all requests in the batch.
+      # `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
+      # are supported. Note that `/v1/embeddings` batches are also restricted to a
+      # maximum of 50,000 embedding inputs across all requests in the batch.
       module Endpoint
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/batch_list_params.rb b/lib/openai/models/batch_list_params.rb
index 651111c7..675cc802 100644
--- a/lib/openai/models/batch_list_params.rb
+++ b/lib/openai/models/batch_list_params.rb
@@ -10,9 +10,9 @@ class BatchListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] after
       #   A cursor for use in pagination. `after` is an object ID that defines your place
-      #     in the list. For instance, if you make a list request and receive 100 objects,
-      #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-      #     fetch the next page of the list.
+      #   in the list. For instance, if you make a list request and receive 100 objects,
+      #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+      #   fetch the next page of the list.
       #
       #   @return [String, nil]
       optional :after, String
@@ -23,7 +23,7 @@ class BatchListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] limit
       #   A limit on the number of objects to be returned. Limit can range between 1 and
-      #     100, and the default is 20.
+      #   100, and the default is 20.
       #
       #   @return [Integer, nil]
       optional :limit, Integer
diff --git a/lib/openai/models/beta/assistant.rb b/lib/openai/models/beta/assistant.rb
index 727f24f2..bd04e326 100644
--- a/lib/openai/models/beta/assistant.rb
+++ b/lib/openai/models/beta/assistant.rb
@@ -25,28 +25,28 @@ class Assistant < OpenAI::Internal::Type::BaseModel
 
         # @!attribute instructions
         #   The system instructions that the assistant uses. The maximum length is 256,000
-        #     characters.
+        #   characters.
         #
         #   @return [String, nil]
         required :instructions, String, nil?: true
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
         # @!attribute model
         #   ID of the model to use. You can use the
-        #     [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #     see all of your available models, or see our
-        #     [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #     them.
+        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        #   see all of your available models, or see our
+        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        #   them.
         #
         #   @return [String]
         required :model, String
@@ -65,60 +65,60 @@ class Assistant < OpenAI::Internal::Type::BaseModel
 
         # @!attribute tools
         #   A list of tool enabled on the assistant. There can be a maximum of 128 tools per
-        #     assistant. Tools can be of types `code_interpreter`, `file_search`, or
-        #     `function`.
+        #   assistant. Tools can be of types `code_interpreter`, `file_search`, or
+        #   `function`.
         #
         #   @return [Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>]
         required :tools, -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::Beta::AssistantTool] }
 
         # @!attribute response_format
         #   Specifies the format that the model must output. Compatible with
-        #     [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-        #     [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-        #     and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
-        #
-        #     Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #     Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #     in the
-        #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
-        #
-        #     Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-        #     message the model generates is valid JSON.
-        #
-        #     **Important:** when using JSON mode, you **must** also instruct the model to
-        #     produce JSON yourself via a system or user message. Without this, the model may
-        #     generate an unending stream of whitespace until the generation reaches the token
-        #     limit, resulting in a long-running and seemingly "stuck" request. Also note that
-        #     the message content may be partially cut off if `finish_reason="length"`, which
-        #     indicates the generation exceeded `max_tokens` or the conversation exceeded the
-        #     max context length.
+        #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+        #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+        #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+        #
+        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
+        #   in the
+        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        #
+        #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+        #   message the model generates is valid JSON.
+        #
+        #   **Important:** when using JSON mode, you **must** also instruct the model to
+        #   produce JSON yourself via a system or user message. Without this, the model may
+        #   generate an unending stream of whitespace until the generation reaches the token
+        #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
+        #   the message content may be partially cut off if `finish_reason="length"`, which
+        #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
+        #   max context length.
         #
         #   @return [Symbol, :auto, OpenAI::Models::ResponseFormatText, OpenAI::Models::ResponseFormatJSONObject, OpenAI::Models::ResponseFormatJSONSchema, nil]
         optional :response_format, union: -> { OpenAI::Models::Beta::AssistantResponseFormatOption }, nil?: true
 
         # @!attribute temperature
         #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #     make the output more random, while lower values like 0.2 will make it more
-        #     focused and deterministic.
+        #   make the output more random, while lower values like 0.2 will make it more
+        #   focused and deterministic.
         #
         #   @return [Float, nil]
         optional :temperature, Float, nil?: true
 
         # @!attribute tool_resources
         #   A set of resources that are used by the assistant's tools. The resources are
-        #     specific to the type of tool. For example, the `code_interpreter` tool requires
-        #     a list of file IDs, while the `file_search` tool requires a list of vector store
-        #     IDs.
+        #   specific to the type of tool. For example, the `code_interpreter` tool requires
+        #   a list of file IDs, while the `file_search` tool requires a list of vector store
+        #   IDs.
         #
         #   @return [OpenAI::Models::Beta::Assistant::ToolResources, nil]
         optional :tool_resources, -> { OpenAI::Models::Beta::Assistant::ToolResources }, nil?: true
 
         # @!attribute top_p
         #   An alternative to sampling with temperature, called nucleus sampling, where the
-        #     model considers the results of the tokens with top_p probability mass. So 0.1
-        #     means only the tokens comprising the top 10% probability mass are considered.
+        #   model considers the results of the tokens with top_p probability mass. So 0.1
+        #   means only the tokens comprising the top 10% probability mass are considered.
         #
-        #     We generally recommend altering this or temperature but not both.
+        #   We generally recommend altering this or temperature but not both.
         #
         #   @return [Float, nil]
         optional :top_p, Float, nil?: true
@@ -183,9 +183,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A set of resources that are used by the assistant's tools. The resources are
-          #   #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   #   IDs.
+          #   # specific to the type of tool. For example, the `code_interpreter` tool requires
+          #   # a list of file IDs, while the `file_search` tool requires a list of vector store
+          #   # IDs.
           #   #
           #   # @param code_interpreter [OpenAI::Models::Beta::Assistant::ToolResources::CodeInterpreter]
           #   # @param file_search [OpenAI::Models::Beta::Assistant::ToolResources::FileSearch]
@@ -198,8 +198,8 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] file_ids
             #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #     available to the `code_interpreter`` tool. There can be a maximum of 20 files
-            #     associated with the tool.
+            #   available to the `code_interpreter`` tool. There can be a maximum of 20 files
+            #   associated with the tool.
             #
             #   @return [Array<String>, nil]
             optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -220,9 +220,9 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] vector_store_ids
             #   The ID of the
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     attached to this assistant. There can be a maximum of 1 vector store attached to
-            #     the assistant.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   attached to this assistant. There can be a maximum of 1 vector store attached to
+            #   the assistant.
             #
             #   @return [Array<String>, nil]
             optional :vector_store_ids, OpenAI::Internal::Type::ArrayOf[String]
diff --git a/lib/openai/models/beta/assistant_create_params.rb b/lib/openai/models/beta/assistant_create_params.rb
index 2b426970..3e3fd1d0 100644
--- a/lib/openai/models/beta/assistant_create_params.rb
+++ b/lib/openai/models/beta/assistant_create_params.rb
@@ -11,10 +11,10 @@ class AssistantCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute model
         #   ID of the model to use. You can use the
-        #     [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #     see all of your available models, or see our
-        #     [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #     them.
+        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        #   see all of your available models, or see our
+        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        #   them.
         #
         #   @return [String, Symbol, OpenAI::Models::ChatModel]
         required :model, union: -> { OpenAI::Models::Beta::AssistantCreateParams::Model }
@@ -27,18 +27,18 @@ class AssistantCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute instructions
         #   The system instructions that the assistant uses. The maximum length is 256,000
-        #     characters.
+        #   characters.
         #
         #   @return [String, nil]
         optional :instructions, String, nil?: true
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -52,60 +52,60 @@ class AssistantCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute reasoning_effort
         #   **o-series models only**
         #
-        #     Constrains effort on reasoning for
-        #     [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-        #     supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-        #     result in faster responses and fewer tokens used on reasoning in a response.
+        #   Constrains effort on reasoning for
+        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+        #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+        #   result in faster responses and fewer tokens used on reasoning in a response.
         #
         #   @return [Symbol, OpenAI::Models::ReasoningEffort, nil]
         optional :reasoning_effort, enum: -> { OpenAI::Models::ReasoningEffort }, nil?: true
 
         # @!attribute response_format
         #   Specifies the format that the model must output. Compatible with
-        #     [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-        #     [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-        #     and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+        #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+        #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+        #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
         #
-        #     Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #     Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #     in the
-        #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
+        #   in the
+        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #     Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-        #     message the model generates is valid JSON.
+        #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+        #   message the model generates is valid JSON.
         #
-        #     **Important:** when using JSON mode, you **must** also instruct the model to
-        #     produce JSON yourself via a system or user message. Without this, the model may
-        #     generate an unending stream of whitespace until the generation reaches the token
-        #     limit, resulting in a long-running and seemingly "stuck" request. Also note that
-        #     the message content may be partially cut off if `finish_reason="length"`, which
-        #     indicates the generation exceeded `max_tokens` or the conversation exceeded the
-        #     max context length.
+        #   **Important:** when using JSON mode, you **must** also instruct the model to
+        #   produce JSON yourself via a system or user message. Without this, the model may
+        #   generate an unending stream of whitespace until the generation reaches the token
+        #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
+        #   the message content may be partially cut off if `finish_reason="length"`, which
+        #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
+        #   max context length.
         #
         #   @return [Symbol, :auto, OpenAI::Models::ResponseFormatText, OpenAI::Models::ResponseFormatJSONObject, OpenAI::Models::ResponseFormatJSONSchema, nil]
         optional :response_format, union: -> { OpenAI::Models::Beta::AssistantResponseFormatOption }, nil?: true
 
         # @!attribute temperature
         #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #     make the output more random, while lower values like 0.2 will make it more
-        #     focused and deterministic.
+        #   make the output more random, while lower values like 0.2 will make it more
+        #   focused and deterministic.
         #
         #   @return [Float, nil]
         optional :temperature, Float, nil?: true
 
         # @!attribute tool_resources
         #   A set of resources that are used by the assistant's tools. The resources are
-        #     specific to the type of tool. For example, the `code_interpreter` tool requires
-        #     a list of file IDs, while the `file_search` tool requires a list of vector store
-        #     IDs.
+        #   specific to the type of tool. For example, the `code_interpreter` tool requires
+        #   a list of file IDs, while the `file_search` tool requires a list of vector store
+        #   IDs.
         #
         #   @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources, nil]
         optional :tool_resources, -> { OpenAI::Models::Beta::AssistantCreateParams::ToolResources }, nil?: true
 
         # @!attribute [r] tools
         #   A list of tool enabled on the assistant. There can be a maximum of 128 tools per
-        #     assistant. Tools can be of types `code_interpreter`, `file_search`, or
-        #     `function`.
+        #   assistant. Tools can be of types `code_interpreter`, `file_search`, or
+        #   `function`.
         #
         #   @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::AssistantTool] }
@@ -116,10 +116,10 @@ class AssistantCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute top_p
         #   An alternative to sampling with temperature, called nucleus sampling, where the
-        #     model considers the results of the tokens with top_p probability mass. So 0.1
-        #     means only the tokens comprising the top 10% probability mass are considered.
+        #   model considers the results of the tokens with top_p probability mass. So 0.1
+        #   means only the tokens comprising the top 10% probability mass are considered.
         #
-        #     We generally recommend altering this or temperature but not both.
+        #   We generally recommend altering this or temperature but not both.
         #
         #   @return [Float, nil]
         optional :top_p, Float, nil?: true
@@ -159,10 +159,10 @@ class AssistantCreateParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -198,9 +198,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A set of resources that are used by the assistant's tools. The resources are
-          #   #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   #   IDs.
+          #   # specific to the type of tool. For example, the `code_interpreter` tool requires
+          #   # a list of file IDs, while the `file_search` tool requires a list of vector store
+          #   # IDs.
           #   #
           #   # @param code_interpreter [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::CodeInterpreter]
           #   # @param file_search [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch]
@@ -213,8 +213,8 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] file_ids
             #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #     available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #     associated with the tool.
+            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
+            #   associated with the tool.
             #
             #   @return [Array<String>, nil]
             optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -235,9 +235,9 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] vector_store_ids
             #   The
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     attached to this assistant. There can be a maximum of 1 vector store attached to
-            #     the assistant.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   attached to this assistant. There can be a maximum of 1 vector store attached to
+            #   the assistant.
             #
             #   @return [Array<String>, nil]
             optional :vector_store_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -248,9 +248,9 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] vector_stores
             #   A helper to create a
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     with file_ids and attach it to this assistant. There can be a maximum of 1
-            #     vector store attached to the assistant.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   with file_ids and attach it to this assistant. There can be a maximum of 1
+            #   vector store attached to the assistant.
             #
             #   @return [Array<OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore>, nil]
             optional :vector_stores,
@@ -271,7 +271,7 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
             class VectorStore < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] chunking_strategy
               #   The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-              #     strategy.
+              #   strategy.
               #
               #   @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static, nil]
               optional :chunking_strategy,
@@ -283,8 +283,8 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] file_ids
               #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-              #     add to the vector store. There can be a maximum of 10000 files in a vector
-              #     store.
+              #   add to the vector store. There can be a maximum of 10000 files in a vector
+              #   store.
               #
               #   @return [Array<String>, nil]
               optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -295,11 +295,11 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
               # @!attribute metadata
               #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-              #     for storing additional information about the object in a structured format, and
-              #     querying for objects via API or the dashboard.
+              #   for storing additional information about the object in a structured format, and
+              #   querying for objects via API or the dashboard.
               #
-              #     Keys are strings with a maximum length of 64 characters. Values are strings with
-              #     a maximum length of 512 characters.
+              #   Keys are strings with a maximum length of 64 characters. Values are strings with
+              #   a maximum length of 512 characters.
               #
               #   @return [Hash{Symbol=>String}, nil]
               optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -314,7 +314,7 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
               # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
               # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-              #   strategy.
+              # strategy.
               #
               # @see OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore#chunking_strategy
               module ChunkingStrategy
@@ -338,7 +338,7 @@ class Auto < OpenAI::Internal::Type::BaseModel
 
                   # @!parse
                   #   # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
-                  #   #   `800` and `chunk_overlap_tokens` of `400`.
+                  #   # `800` and `chunk_overlap_tokens` of `400`.
                   #   #
                   #   # @param type [Symbol, :auto]
                   #   #
@@ -373,14 +373,14 @@ class Static < OpenAI::Internal::Type::BaseModel
                     # @!attribute chunk_overlap_tokens
                     #   The number of tokens that overlap between chunks. The default value is `400`.
                     #
-                    #     Note that the overlap must not exceed half of `max_chunk_size_tokens`.
+                    #   Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                     #
                     #   @return [Integer]
                     required :chunk_overlap_tokens, Integer
 
                     # @!attribute max_chunk_size_tokens
                     #   The maximum number of tokens in each chunk. The default value is `800`. The
-                    #     minimum value is `100` and the maximum value is `4096`.
+                    #   minimum value is `100` and the maximum value is `4096`.
                     #
                     #   @return [Integer]
                     required :max_chunk_size_tokens, Integer
diff --git a/lib/openai/models/beta/assistant_list_params.rb b/lib/openai/models/beta/assistant_list_params.rb
index c01b9f64..d46562ae 100644
--- a/lib/openai/models/beta/assistant_list_params.rb
+++ b/lib/openai/models/beta/assistant_list_params.rb
@@ -11,9 +11,9 @@ class AssistantListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] after
         #   A cursor for use in pagination. `after` is an object ID that defines your place
-        #     in the list. For instance, if you make a list request and receive 100 objects,
-        #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #     fetch the next page of the list.
+        #   in the list. For instance, if you make a list request and receive 100 objects,
+        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        #   fetch the next page of the list.
         #
         #   @return [String, nil]
         optional :after, String
@@ -24,9 +24,9 @@ class AssistantListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] before
         #   A cursor for use in pagination. `before` is an object ID that defines your place
-        #     in the list. For instance, if you make a list request and receive 100 objects,
-        #     starting with obj_foo, your subsequent call can include before=obj_foo in order
-        #     to fetch the previous page of the list.
+        #   in the list. For instance, if you make a list request and receive 100 objects,
+        #   starting with obj_foo, your subsequent call can include before=obj_foo in order
+        #   to fetch the previous page of the list.
         #
         #   @return [String, nil]
         optional :before, String
@@ -37,7 +37,7 @@ class AssistantListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] limit
         #   A limit on the number of objects to be returned. Limit can range between 1 and
-        #     100, and the default is 20.
+        #   100, and the default is 20.
         #
         #   @return [Integer, nil]
         optional :limit, Integer
@@ -48,7 +48,7 @@ class AssistantListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] order
         #   Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #     order and `desc` for descending order.
+        #   order and `desc` for descending order.
         #
         #   @return [Symbol, OpenAI::Models::Beta::AssistantListParams::Order, nil]
         optional :order, enum: -> { OpenAI::Models::Beta::AssistantListParams::Order }
@@ -69,7 +69,7 @@ class AssistantListParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/beta/assistant_response_format_option.rb b/lib/openai/models/beta/assistant_response_format_option.rb
index 2c797ac5..f1e5fc86 100644
--- a/lib/openai/models/beta/assistant_response_format_option.rb
+++ b/lib/openai/models/beta/assistant_response_format_option.rb
@@ -4,25 +4,25 @@ module OpenAI
   module Models
     module Beta
       # Specifies the format that the model must output. Compatible with
-      #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-      #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-      #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+      # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+      # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+      # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
       #
-      #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-      #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-      #   in the
-      #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+      # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+      # Outputs which ensures the model will match your supplied JSON schema. Learn more
+      # in the
+      # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
       #
-      #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-      #   message the model generates is valid JSON.
+      # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+      # message the model generates is valid JSON.
       #
-      #   **Important:** when using JSON mode, you **must** also instruct the model to
-      #   produce JSON yourself via a system or user message. Without this, the model may
-      #   generate an unending stream of whitespace until the generation reaches the token
-      #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-      #   the message content may be partially cut off if `finish_reason="length"`, which
-      #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-      #   max context length.
+      # **Important:** when using JSON mode, you **must** also instruct the model to
+      # produce JSON yourself via a system or user message. Without this, the model may
+      # generate an unending stream of whitespace until the generation reaches the token
+      # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+      # the message content may be partially cut off if `finish_reason="length"`, which
+      # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+      # max context length.
       module AssistantResponseFormatOption
         extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/beta/assistant_stream_event.rb b/lib/openai/models/beta/assistant_stream_event.rb
index b46d6568..5663b14f 100644
--- a/lib/openai/models/beta/assistant_stream_event.rb
+++ b/lib/openai/models/beta/assistant_stream_event.rb
@@ -5,24 +5,24 @@ module Models
     module Beta
       # Represents an event emitted when streaming a Run.
       #
-      #   Each event in a server-sent events stream has an `event` and `data` property:
+      # Each event in a server-sent events stream has an `event` and `data` property:
       #
-      #   ```
-      #   event: thread.created
-      #   data: {"id": "thread_123", "object": "thread", ...}
-      #   ```
+      # ```
+      # event: thread.created
+      # data: {"id": "thread_123", "object": "thread", ...}
+      # ```
       #
-      #   We emit events whenever a new object is created, transitions to a new state, or
-      #   is being streamed in parts (deltas). For example, we emit `thread.run.created`
-      #   when a new run is created, `thread.run.completed` when a run completes, and so
-      #   on. When an Assistant chooses to create a message during a run, we emit a
-      #   `thread.message.created event`, a `thread.message.in_progress` event, many
-      #   `thread.message.delta` events, and finally a `thread.message.completed` event.
+      # We emit events whenever a new object is created, transitions to a new state, or
+      # is being streamed in parts (deltas). For example, we emit `thread.run.created`
+      # when a new run is created, `thread.run.completed` when a run completes, and so
+      # on. When an Assistant chooses to create a message during a run, we emit a
+      # `thread.message.created event`, a `thread.message.in_progress` event, many
+      # `thread.message.delta` events, and finally a `thread.message.completed` event.
       #
-      #   We may add additional events over time, so we recommend handling unknown events
-      #   gracefully in your code. See the
-      #   [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview)
-      #   to learn how to integrate the Assistants API with streaming.
+      # We may add additional events over time, so we recommend handling unknown events
+      # gracefully in your code. See the
+      # [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview)
+      # to learn how to integrate the Assistants API with streaming.
       module AssistantStreamEvent
         extend OpenAI::Internal::Type::Union
 
@@ -112,7 +112,7 @@ module AssistantStreamEvent
         class ThreadCreated < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a thread that contains
-          #     [messages](https://platform.openai.com/docs/api-reference/messages).
+          #   [messages](https://platform.openai.com/docs/api-reference/messages).
           #
           #   @return [OpenAI::Models::Beta::Thread]
           required :data, -> { OpenAI::Models::Beta::Thread }
@@ -134,8 +134,8 @@ class ThreadCreated < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a new
-          #   #   [thread](https://platform.openai.com/docs/api-reference/threads/object) is
-          #   #   created.
+          #   # [thread](https://platform.openai.com/docs/api-reference/threads/object) is
+          #   # created.
           #   #
           #   # @param data [OpenAI::Models::Beta::Thread]
           #   # @param enabled [Boolean]
@@ -149,7 +149,7 @@ class ThreadCreated < OpenAI::Internal::Type::BaseModel
         class ThreadRunCreated < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -161,7 +161,7 @@ class ThreadRunCreated < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a new
-          #   #   [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
+          #   # [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.created"]
@@ -174,7 +174,7 @@ class ThreadRunCreated < OpenAI::Internal::Type::BaseModel
         class ThreadRunQueued < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -186,7 +186,7 @@ class ThreadRunQueued < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   moves to a `queued` status.
+          #   # moves to a `queued` status.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.queued"]
@@ -199,7 +199,7 @@ class ThreadRunQueued < OpenAI::Internal::Type::BaseModel
         class ThreadRunInProgress < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -211,7 +211,7 @@ class ThreadRunInProgress < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   moves to an `in_progress` status.
+          #   # moves to an `in_progress` status.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.in_progress"]
@@ -224,7 +224,7 @@ class ThreadRunInProgress < OpenAI::Internal::Type::BaseModel
         class ThreadRunRequiresAction < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -236,7 +236,7 @@ class ThreadRunRequiresAction < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   moves to a `requires_action` status.
+          #   # moves to a `requires_action` status.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.requires_action"]
@@ -249,7 +249,7 @@ class ThreadRunRequiresAction < OpenAI::Internal::Type::BaseModel
         class ThreadRunCompleted < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -261,7 +261,7 @@ class ThreadRunCompleted < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   is completed.
+          #   # is completed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.completed"]
@@ -274,7 +274,7 @@ class ThreadRunCompleted < OpenAI::Internal::Type::BaseModel
         class ThreadRunIncomplete < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -286,7 +286,7 @@ class ThreadRunIncomplete < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   ends with status `incomplete`.
+          #   # ends with status `incomplete`.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.incomplete"]
@@ -299,7 +299,7 @@ class ThreadRunIncomplete < OpenAI::Internal::Type::BaseModel
         class ThreadRunFailed < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -311,7 +311,7 @@ class ThreadRunFailed < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   fails.
+          #   # fails.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.failed"]
@@ -324,7 +324,7 @@ class ThreadRunFailed < OpenAI::Internal::Type::BaseModel
         class ThreadRunCancelling < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -336,7 +336,7 @@ class ThreadRunCancelling < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   moves to a `cancelling` status.
+          #   # moves to a `cancelling` status.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.cancelling"]
@@ -349,7 +349,7 @@ class ThreadRunCancelling < OpenAI::Internal::Type::BaseModel
         class ThreadRunCancelled < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -361,7 +361,7 @@ class ThreadRunCancelled < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   is cancelled.
+          #   # is cancelled.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.cancelled"]
@@ -374,7 +374,7 @@ class ThreadRunCancelled < OpenAI::Internal::Type::BaseModel
         class ThreadRunExpired < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -386,7 +386,7 @@ class ThreadRunExpired < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   expires.
+          #   # expires.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.expired"]
@@ -410,8 +410,8 @@ class ThreadRunStepCreated < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   is created.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # is created.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.created"]
@@ -435,8 +435,8 @@ class ThreadRunStepInProgress < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   moves to an `in_progress` state.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # moves to an `in_progress` state.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.in_progress"]
@@ -449,7 +449,7 @@ class ThreadRunStepInProgress < OpenAI::Internal::Type::BaseModel
         class ThreadRunStepDelta < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a run step delta i.e. any changed fields on a run step during
-          #     streaming.
+          #   streaming.
           #
           #   @return [OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent]
           required :data, -> { OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent }
@@ -461,8 +461,8 @@ class ThreadRunStepDelta < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when parts of a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   are being streamed.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # are being streamed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent]
           #   # @param event [Symbol, :"thread.run.step.delta"]
@@ -486,8 +486,8 @@ class ThreadRunStepCompleted < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   is completed.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # is completed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.completed"]
@@ -511,8 +511,8 @@ class ThreadRunStepFailed < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   fails.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # fails.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.failed"]
@@ -536,8 +536,8 @@ class ThreadRunStepCancelled < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   is cancelled.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # is cancelled.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.cancelled"]
@@ -561,8 +561,8 @@ class ThreadRunStepExpired < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   expires.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # expires.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.expired"]
@@ -575,7 +575,7 @@ class ThreadRunStepExpired < OpenAI::Internal::Type::BaseModel
         class ThreadMessageCreated < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message within a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Message]
           required :data, -> { OpenAI::Models::Beta::Threads::Message }
@@ -587,8 +587,8 @@ class ThreadMessageCreated < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-          #   #   created.
+          #   # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+          #   # created.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Message]
           #   # @param event [Symbol, :"thread.message.created"]
@@ -601,7 +601,7 @@ class ThreadMessageCreated < OpenAI::Internal::Type::BaseModel
         class ThreadMessageInProgress < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message within a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Message]
           required :data, -> { OpenAI::Models::Beta::Threads::Message }
@@ -613,8 +613,8 @@ class ThreadMessageInProgress < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [message](https://platform.openai.com/docs/api-reference/messages/object) moves
-          #   #   to an `in_progress` state.
+          #   # [message](https://platform.openai.com/docs/api-reference/messages/object) moves
+          #   # to an `in_progress` state.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Message]
           #   # @param event [Symbol, :"thread.message.in_progress"]
@@ -627,7 +627,7 @@ class ThreadMessageInProgress < OpenAI::Internal::Type::BaseModel
         class ThreadMessageDelta < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message delta i.e. any changed fields on a message during
-          #     streaming.
+          #   streaming.
           #
           #   @return [OpenAI::Models::Beta::Threads::MessageDeltaEvent]
           required :data, -> { OpenAI::Models::Beta::Threads::MessageDeltaEvent }
@@ -639,8 +639,8 @@ class ThreadMessageDelta < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when parts of a
-          #   #   [Message](https://platform.openai.com/docs/api-reference/messages/object) are
-          #   #   being streamed.
+          #   # [Message](https://platform.openai.com/docs/api-reference/messages/object) are
+          #   # being streamed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::MessageDeltaEvent]
           #   # @param event [Symbol, :"thread.message.delta"]
@@ -653,7 +653,7 @@ class ThreadMessageDelta < OpenAI::Internal::Type::BaseModel
         class ThreadMessageCompleted < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message within a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Message]
           required :data, -> { OpenAI::Models::Beta::Threads::Message }
@@ -665,8 +665,8 @@ class ThreadMessageCompleted < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-          #   #   completed.
+          #   # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+          #   # completed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Message]
           #   # @param event [Symbol, :"thread.message.completed"]
@@ -679,7 +679,7 @@ class ThreadMessageCompleted < OpenAI::Internal::Type::BaseModel
         class ThreadMessageIncomplete < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message within a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Message]
           required :data, -> { OpenAI::Models::Beta::Threads::Message }
@@ -691,8 +691,8 @@ class ThreadMessageIncomplete < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [message](https://platform.openai.com/docs/api-reference/messages/object) ends
-          #   #   before it is completed.
+          #   # [message](https://platform.openai.com/docs/api-reference/messages/object) ends
+          #   # before it is completed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Message]
           #   # @param event [Symbol, :"thread.message.incomplete"]
@@ -715,8 +715,8 @@ class ErrorEvent < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when an
-          #   #   [error](https://platform.openai.com/docs/guides/error-codes#api-errors) occurs.
-          #   #   This can happen due to an internal server error or a timeout.
+          #   # [error](https://platform.openai.com/docs/guides/error-codes#api-errors) occurs.
+          #   # This can happen due to an internal server error or a timeout.
           #   #
           #   # @param data [OpenAI::Models::ErrorObject]
           #   # @param event [Symbol, :error]
diff --git a/lib/openai/models/beta/assistant_tool_choice.rb b/lib/openai/models/beta/assistant_tool_choice.rb
index 0c1c8cb9..1dff1877 100644
--- a/lib/openai/models/beta/assistant_tool_choice.rb
+++ b/lib/openai/models/beta/assistant_tool_choice.rb
@@ -21,7 +21,7 @@ class AssistantToolChoice < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Specifies a tool the model should use. Use to force the model to call a specific
-        #   #   tool.
+        #   # tool.
         #   #
         #   # @param type [Symbol, OpenAI::Models::Beta::AssistantToolChoice::Type]
         #   # @param function [OpenAI::Models::Beta::AssistantToolChoiceFunction]
diff --git a/lib/openai/models/beta/assistant_tool_choice_option.rb b/lib/openai/models/beta/assistant_tool_choice_option.rb
index 5445f1a6..69293cbc 100644
--- a/lib/openai/models/beta/assistant_tool_choice_option.rb
+++ b/lib/openai/models/beta/assistant_tool_choice_option.rb
@@ -4,12 +4,12 @@ module OpenAI
   module Models
     module Beta
       # Controls which (if any) tool is called by the model. `none` means the model will
-      #   not call any tools and instead generates a message. `auto` is the default value
-      #   and means the model can pick between generating a message or calling one or more
-      #   tools. `required` means the model must call one or more tools before responding
-      #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
-      #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-      #   call that tool.
+      # not call any tools and instead generates a message. `auto` is the default value
+      # and means the model can pick between generating a message or calling one or more
+      # tools. `required` means the model must call one or more tools before responding
+      # to the user. Specifying a particular tool like `{"type": "file_search"}` or
+      # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+      # call that tool.
       module AssistantToolChoiceOption
         extend OpenAI::Internal::Type::Union
 
@@ -20,9 +20,9 @@ module AssistantToolChoiceOption
         variant -> { OpenAI::Models::Beta::AssistantToolChoice }
 
         # `none` means the model will not call any tools and instead generates a message.
-        #   `auto` means the model can pick between generating a message or calling one or
-        #   more tools. `required` means the model must call one or more tools before
-        #   responding to the user.
+        # `auto` means the model can pick between generating a message or calling one or
+        # more tools. `required` means the model must call one or more tools before
+        # responding to the user.
         module Auto
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/beta/assistant_update_params.rb b/lib/openai/models/beta/assistant_update_params.rb
index 2fe97acb..299fb194 100644
--- a/lib/openai/models/beta/assistant_update_params.rb
+++ b/lib/openai/models/beta/assistant_update_params.rb
@@ -17,28 +17,28 @@ class AssistantUpdateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute instructions
         #   The system instructions that the assistant uses. The maximum length is 256,000
-        #     characters.
+        #   characters.
         #
         #   @return [String, nil]
         optional :instructions, String, nil?: true
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
         # @!attribute [r] model
         #   ID of the model to use. You can use the
-        #     [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #     see all of your available models, or see our
-        #     [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #     them.
+        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        #   see all of your available models, or see our
+        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        #   them.
         #
         #   @return [String, Symbol, OpenAI::Models::Beta::AssistantUpdateParams::Model, nil]
         optional :model, union: -> { OpenAI::Models::Beta::AssistantUpdateParams::Model }
@@ -56,60 +56,60 @@ class AssistantUpdateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute reasoning_effort
         #   **o-series models only**
         #
-        #     Constrains effort on reasoning for
-        #     [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-        #     supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-        #     result in faster responses and fewer tokens used on reasoning in a response.
+        #   Constrains effort on reasoning for
+        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+        #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+        #   result in faster responses and fewer tokens used on reasoning in a response.
         #
         #   @return [Symbol, OpenAI::Models::ReasoningEffort, nil]
         optional :reasoning_effort, enum: -> { OpenAI::Models::ReasoningEffort }, nil?: true
 
         # @!attribute response_format
         #   Specifies the format that the model must output. Compatible with
-        #     [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-        #     [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-        #     and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+        #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+        #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+        #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
         #
-        #     Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #     Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #     in the
-        #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
+        #   in the
+        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #     Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-        #     message the model generates is valid JSON.
+        #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+        #   message the model generates is valid JSON.
         #
-        #     **Important:** when using JSON mode, you **must** also instruct the model to
-        #     produce JSON yourself via a system or user message. Without this, the model may
-        #     generate an unending stream of whitespace until the generation reaches the token
-        #     limit, resulting in a long-running and seemingly "stuck" request. Also note that
-        #     the message content may be partially cut off if `finish_reason="length"`, which
-        #     indicates the generation exceeded `max_tokens` or the conversation exceeded the
-        #     max context length.
+        #   **Important:** when using JSON mode, you **must** also instruct the model to
+        #   produce JSON yourself via a system or user message. Without this, the model may
+        #   generate an unending stream of whitespace until the generation reaches the token
+        #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
+        #   the message content may be partially cut off if `finish_reason="length"`, which
+        #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
+        #   max context length.
         #
         #   @return [Symbol, :auto, OpenAI::Models::ResponseFormatText, OpenAI::Models::ResponseFormatJSONObject, OpenAI::Models::ResponseFormatJSONSchema, nil]
         optional :response_format, union: -> { OpenAI::Models::Beta::AssistantResponseFormatOption }, nil?: true
 
         # @!attribute temperature
         #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #     make the output more random, while lower values like 0.2 will make it more
-        #     focused and deterministic.
+        #   make the output more random, while lower values like 0.2 will make it more
+        #   focused and deterministic.
         #
         #   @return [Float, nil]
         optional :temperature, Float, nil?: true
 
         # @!attribute tool_resources
         #   A set of resources that are used by the assistant's tools. The resources are
-        #     specific to the type of tool. For example, the `code_interpreter` tool requires
-        #     a list of file IDs, while the `file_search` tool requires a list of vector store
-        #     IDs.
+        #   specific to the type of tool. For example, the `code_interpreter` tool requires
+        #   a list of file IDs, while the `file_search` tool requires a list of vector store
+        #   IDs.
         #
         #   @return [OpenAI::Models::Beta::AssistantUpdateParams::ToolResources, nil]
         optional :tool_resources, -> { OpenAI::Models::Beta::AssistantUpdateParams::ToolResources }, nil?: true
 
         # @!attribute [r] tools
         #   A list of tool enabled on the assistant. There can be a maximum of 128 tools per
-        #     assistant. Tools can be of types `code_interpreter`, `file_search`, or
-        #     `function`.
+        #   assistant. Tools can be of types `code_interpreter`, `file_search`, or
+        #   `function`.
         #
         #   @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::AssistantTool] }
@@ -120,10 +120,10 @@ class AssistantUpdateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute top_p
         #   An alternative to sampling with temperature, called nucleus sampling, where the
-        #     model considers the results of the tokens with top_p probability mass. So 0.1
-        #     means only the tokens comprising the top 10% probability mass are considered.
+        #   model considers the results of the tokens with top_p probability mass. So 0.1
+        #   means only the tokens comprising the top 10% probability mass are considered.
         #
-        #     We generally recommend altering this or temperature but not both.
+        #   We generally recommend altering this or temperature but not both.
         #
         #   @return [Float, nil]
         optional :top_p, Float, nil?: true
@@ -163,10 +163,10 @@ class AssistantUpdateParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -294,9 +294,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A set of resources that are used by the assistant's tools. The resources are
-          #   #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   #   IDs.
+          #   # specific to the type of tool. For example, the `code_interpreter` tool requires
+          #   # a list of file IDs, while the `file_search` tool requires a list of vector store
+          #   # IDs.
           #   #
           #   # @param code_interpreter [OpenAI::Models::Beta::AssistantUpdateParams::ToolResources::CodeInterpreter]
           #   # @param file_search [OpenAI::Models::Beta::AssistantUpdateParams::ToolResources::FileSearch]
@@ -309,9 +309,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] file_ids
             #   Overrides the list of
-            #     [file](https://platform.openai.com/docs/api-reference/files) IDs made available
-            #     to the `code_interpreter` tool. There can be a maximum of 20 files associated
-            #     with the tool.
+            #   [file](https://platform.openai.com/docs/api-reference/files) IDs made available
+            #   to the `code_interpreter` tool. There can be a maximum of 20 files associated
+            #   with the tool.
             #
             #   @return [Array<String>, nil]
             optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -332,9 +332,9 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] vector_store_ids
             #   Overrides the
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     attached to this assistant. There can be a maximum of 1 vector store attached to
-            #     the assistant.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   attached to this assistant. There can be a maximum of 1 vector store attached to
+            #   the assistant.
             #
             #   @return [Array<String>, nil]
             optional :vector_store_ids, OpenAI::Internal::Type::ArrayOf[String]
diff --git a/lib/openai/models/beta/file_search_tool.rb b/lib/openai/models/beta/file_search_tool.rb
index 2428a1a0..76343e2f 100644
--- a/lib/openai/models/beta/file_search_tool.rb
+++ b/lib/openai/models/beta/file_search_tool.rb
@@ -32,13 +32,13 @@ class FileSearchTool < OpenAI::Internal::Type::BaseModel
         class FileSearch < OpenAI::Internal::Type::BaseModel
           # @!attribute [r] max_num_results
           #   The maximum number of results the file search tool should output. The default is
-          #     20 for `gpt-4*` models and 5 for `gpt-3.5-turbo`. This number should be between
-          #     1 and 50 inclusive.
+          #   20 for `gpt-4*` models and 5 for `gpt-3.5-turbo`. This number should be between
+          #   1 and 50 inclusive.
           #
-          #     Note that the file search tool may output fewer than `max_num_results` results.
-          #     See the
-          #     [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-          #     for more information.
+          #   Note that the file search tool may output fewer than `max_num_results` results.
+          #   See the
+          #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+          #   for more information.
           #
           #   @return [Integer, nil]
           optional :max_num_results, Integer
@@ -49,11 +49,11 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] ranking_options
           #   The ranking options for the file search. If not specified, the file search tool
-          #     will use the `auto` ranker and a score_threshold of 0.
+          #   will use the `auto` ranker and a score_threshold of 0.
           #
-          #     See the
-          #     [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-          #     for more information.
+          #   See the
+          #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+          #   for more information.
           #
           #   @return [OpenAI::Models::Beta::FileSearchTool::FileSearch::RankingOptions, nil]
           optional :ranking_options, -> { OpenAI::Models::Beta::FileSearchTool::FileSearch::RankingOptions }
@@ -76,14 +76,14 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
           class RankingOptions < OpenAI::Internal::Type::BaseModel
             # @!attribute score_threshold
             #   The score threshold for the file search. All values must be a floating point
-            #     number between 0 and 1.
+            #   number between 0 and 1.
             #
             #   @return [Float]
             required :score_threshold, Float
 
             # @!attribute [r] ranker
             #   The ranker to use for the file search. If not specified will use the `auto`
-            #     ranker.
+            #   ranker.
             #
             #   @return [Symbol, OpenAI::Models::Beta::FileSearchTool::FileSearch::RankingOptions::Ranker, nil]
             optional :ranker, enum: -> { OpenAI::Models::Beta::FileSearchTool::FileSearch::RankingOptions::Ranker }
@@ -94,11 +94,11 @@ class RankingOptions < OpenAI::Internal::Type::BaseModel
 
             # @!parse
             #   # The ranking options for the file search. If not specified, the file search tool
-            #   #   will use the `auto` ranker and a score_threshold of 0.
+            #   # will use the `auto` ranker and a score_threshold of 0.
             #   #
-            #   #   See the
-            #   #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-            #   #   for more information.
+            #   # See the
+            #   # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+            #   # for more information.
             #   #
             #   # @param score_threshold [Float]
             #   # @param ranker [Symbol, OpenAI::Models::Beta::FileSearchTool::FileSearch::RankingOptions::Ranker]
@@ -108,7 +108,7 @@ class RankingOptions < OpenAI::Internal::Type::BaseModel
             # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
             # The ranker to use for the file search. If not specified will use the `auto`
-            #   ranker.
+            # ranker.
             #
             # @see OpenAI::Models::Beta::FileSearchTool::FileSearch::RankingOptions#ranker
             module Ranker
diff --git a/lib/openai/models/beta/message_stream_event.rb b/lib/openai/models/beta/message_stream_event.rb
index 0657f158..09590507 100644
--- a/lib/openai/models/beta/message_stream_event.rb
+++ b/lib/openai/models/beta/message_stream_event.rb
@@ -4,8 +4,8 @@ module OpenAI
   module Models
     module Beta
       # Occurs when a
-      #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-      #   created.
+      # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+      # created.
       module MessageStreamEvent
         extend OpenAI::Internal::Type::Union
 
@@ -32,7 +32,7 @@ module MessageStreamEvent
         class ThreadMessageCreated < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message within a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Message]
           required :data, -> { OpenAI::Models::Beta::Threads::Message }
@@ -44,8 +44,8 @@ class ThreadMessageCreated < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-          #   #   created.
+          #   # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+          #   # created.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Message]
           #   # @param event [Symbol, :"thread.message.created"]
@@ -58,7 +58,7 @@ class ThreadMessageCreated < OpenAI::Internal::Type::BaseModel
         class ThreadMessageInProgress < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message within a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Message]
           required :data, -> { OpenAI::Models::Beta::Threads::Message }
@@ -70,8 +70,8 @@ class ThreadMessageInProgress < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [message](https://platform.openai.com/docs/api-reference/messages/object) moves
-          #   #   to an `in_progress` state.
+          #   # [message](https://platform.openai.com/docs/api-reference/messages/object) moves
+          #   # to an `in_progress` state.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Message]
           #   # @param event [Symbol, :"thread.message.in_progress"]
@@ -84,7 +84,7 @@ class ThreadMessageInProgress < OpenAI::Internal::Type::BaseModel
         class ThreadMessageDelta < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message delta i.e. any changed fields on a message during
-          #     streaming.
+          #   streaming.
           #
           #   @return [OpenAI::Models::Beta::Threads::MessageDeltaEvent]
           required :data, -> { OpenAI::Models::Beta::Threads::MessageDeltaEvent }
@@ -96,8 +96,8 @@ class ThreadMessageDelta < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when parts of a
-          #   #   [Message](https://platform.openai.com/docs/api-reference/messages/object) are
-          #   #   being streamed.
+          #   # [Message](https://platform.openai.com/docs/api-reference/messages/object) are
+          #   # being streamed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::MessageDeltaEvent]
           #   # @param event [Symbol, :"thread.message.delta"]
@@ -110,7 +110,7 @@ class ThreadMessageDelta < OpenAI::Internal::Type::BaseModel
         class ThreadMessageCompleted < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message within a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Message]
           required :data, -> { OpenAI::Models::Beta::Threads::Message }
@@ -122,8 +122,8 @@ class ThreadMessageCompleted < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-          #   #   completed.
+          #   # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+          #   # completed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Message]
           #   # @param event [Symbol, :"thread.message.completed"]
@@ -136,7 +136,7 @@ class ThreadMessageCompleted < OpenAI::Internal::Type::BaseModel
         class ThreadMessageIncomplete < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a message within a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Message]
           required :data, -> { OpenAI::Models::Beta::Threads::Message }
@@ -148,8 +148,8 @@ class ThreadMessageIncomplete < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [message](https://platform.openai.com/docs/api-reference/messages/object) ends
-          #   #   before it is completed.
+          #   # [message](https://platform.openai.com/docs/api-reference/messages/object) ends
+          #   # before it is completed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Message]
           #   # @param event [Symbol, :"thread.message.incomplete"]
diff --git a/lib/openai/models/beta/run_step_stream_event.rb b/lib/openai/models/beta/run_step_stream_event.rb
index 93f240f7..444add26 100644
--- a/lib/openai/models/beta/run_step_stream_event.rb
+++ b/lib/openai/models/beta/run_step_stream_event.rb
@@ -4,8 +4,8 @@ module OpenAI
   module Models
     module Beta
       # Occurs when a
-      #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-      #   is created.
+      # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+      # is created.
       module RunStepStreamEvent
         extend OpenAI::Internal::Type::Union
 
@@ -49,8 +49,8 @@ class ThreadRunStepCreated < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   is created.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # is created.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.created"]
@@ -74,8 +74,8 @@ class ThreadRunStepInProgress < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   moves to an `in_progress` state.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # moves to an `in_progress` state.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.in_progress"]
@@ -88,7 +88,7 @@ class ThreadRunStepInProgress < OpenAI::Internal::Type::BaseModel
         class ThreadRunStepDelta < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents a run step delta i.e. any changed fields on a run step during
-          #     streaming.
+          #   streaming.
           #
           #   @return [OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent]
           required :data, -> { OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent }
@@ -100,8 +100,8 @@ class ThreadRunStepDelta < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when parts of a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   are being streamed.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # are being streamed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent]
           #   # @param event [Symbol, :"thread.run.step.delta"]
@@ -125,8 +125,8 @@ class ThreadRunStepCompleted < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   is completed.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # is completed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.completed"]
@@ -150,8 +150,8 @@ class ThreadRunStepFailed < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   fails.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # fails.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.failed"]
@@ -175,8 +175,8 @@ class ThreadRunStepCancelled < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   is cancelled.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # is cancelled.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.cancelled"]
@@ -200,8 +200,8 @@ class ThreadRunStepExpired < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a
-          #   #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   #   expires.
+          #   # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          #   # expires.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Runs::RunStep]
           #   # @param event [Symbol, :"thread.run.step.expired"]
diff --git a/lib/openai/models/beta/run_stream_event.rb b/lib/openai/models/beta/run_stream_event.rb
index 14e5177f..90552346 100644
--- a/lib/openai/models/beta/run_stream_event.rb
+++ b/lib/openai/models/beta/run_stream_event.rb
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     module Beta
       # Occurs when a new
-      #   [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
+      # [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
       module RunStreamEvent
         extend OpenAI::Internal::Type::Union
 
@@ -44,7 +44,7 @@ module RunStreamEvent
         class ThreadRunCreated < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -56,7 +56,7 @@ class ThreadRunCreated < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a new
-          #   #   [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
+          #   # [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.created"]
@@ -69,7 +69,7 @@ class ThreadRunCreated < OpenAI::Internal::Type::BaseModel
         class ThreadRunQueued < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -81,7 +81,7 @@ class ThreadRunQueued < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   moves to a `queued` status.
+          #   # moves to a `queued` status.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.queued"]
@@ -94,7 +94,7 @@ class ThreadRunQueued < OpenAI::Internal::Type::BaseModel
         class ThreadRunInProgress < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -106,7 +106,7 @@ class ThreadRunInProgress < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   moves to an `in_progress` status.
+          #   # moves to an `in_progress` status.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.in_progress"]
@@ -119,7 +119,7 @@ class ThreadRunInProgress < OpenAI::Internal::Type::BaseModel
         class ThreadRunRequiresAction < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -131,7 +131,7 @@ class ThreadRunRequiresAction < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   moves to a `requires_action` status.
+          #   # moves to a `requires_action` status.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.requires_action"]
@@ -144,7 +144,7 @@ class ThreadRunRequiresAction < OpenAI::Internal::Type::BaseModel
         class ThreadRunCompleted < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -156,7 +156,7 @@ class ThreadRunCompleted < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   is completed.
+          #   # is completed.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.completed"]
@@ -169,7 +169,7 @@ class ThreadRunCompleted < OpenAI::Internal::Type::BaseModel
         class ThreadRunIncomplete < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -181,7 +181,7 @@ class ThreadRunIncomplete < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   ends with status `incomplete`.
+          #   # ends with status `incomplete`.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.incomplete"]
@@ -194,7 +194,7 @@ class ThreadRunIncomplete < OpenAI::Internal::Type::BaseModel
         class ThreadRunFailed < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -206,7 +206,7 @@ class ThreadRunFailed < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   fails.
+          #   # fails.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.failed"]
@@ -219,7 +219,7 @@ class ThreadRunFailed < OpenAI::Internal::Type::BaseModel
         class ThreadRunCancelling < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -231,7 +231,7 @@ class ThreadRunCancelling < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   moves to a `cancelling` status.
+          #   # moves to a `cancelling` status.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.cancelling"]
@@ -244,7 +244,7 @@ class ThreadRunCancelling < OpenAI::Internal::Type::BaseModel
         class ThreadRunCancelled < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -256,7 +256,7 @@ class ThreadRunCancelled < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   is cancelled.
+          #   # is cancelled.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.cancelled"]
@@ -269,7 +269,7 @@ class ThreadRunCancelled < OpenAI::Internal::Type::BaseModel
         class ThreadRunExpired < OpenAI::Internal::Type::BaseModel
           # @!attribute data
           #   Represents an execution run on a
-          #     [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   [thread](https://platform.openai.com/docs/api-reference/threads).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run]
           required :data, -> { OpenAI::Models::Beta::Threads::Run }
@@ -281,7 +281,7 @@ class ThreadRunExpired < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   #   expires.
+          #   # expires.
           #   #
           #   # @param data [OpenAI::Models::Beta::Threads::Run]
           #   # @param event [Symbol, :"thread.run.expired"]
diff --git a/lib/openai/models/beta/thread.rb b/lib/openai/models/beta/thread.rb
index ab9384f2..5f08e2ff 100644
--- a/lib/openai/models/beta/thread.rb
+++ b/lib/openai/models/beta/thread.rb
@@ -19,11 +19,11 @@ class Thread < OpenAI::Internal::Type::BaseModel
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -36,16 +36,16 @@ class Thread < OpenAI::Internal::Type::BaseModel
 
         # @!attribute tool_resources
         #   A set of resources that are made available to the assistant's tools in this
-        #     thread. The resources are specific to the type of tool. For example, the
-        #     `code_interpreter` tool requires a list of file IDs, while the `file_search`
-        #     tool requires a list of vector store IDs.
+        #   thread. The resources are specific to the type of tool. For example, the
+        #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
+        #   tool requires a list of vector store IDs.
         #
         #   @return [OpenAI::Models::Beta::Thread::ToolResources, nil]
         required :tool_resources, -> { OpenAI::Models::Beta::Thread::ToolResources }, nil?: true
 
         # @!parse
         #   # Represents a thread that contains
-        #   #   [messages](https://platform.openai.com/docs/api-reference/messages).
+        #   # [messages](https://platform.openai.com/docs/api-reference/messages).
         #   #
         #   # @param id [String]
         #   # @param created_at [Integer]
@@ -79,9 +79,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A set of resources that are made available to the assistant's tools in this
-          #   #   thread. The resources are specific to the type of tool. For example, the
-          #   #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   #   tool requires a list of vector store IDs.
+          #   # thread. The resources are specific to the type of tool. For example, the
+          #   # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          #   # tool requires a list of vector store IDs.
           #   #
           #   # @param code_interpreter [OpenAI::Models::Beta::Thread::ToolResources::CodeInterpreter]
           #   # @param file_search [OpenAI::Models::Beta::Thread::ToolResources::FileSearch]
@@ -94,8 +94,8 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] file_ids
             #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #     available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #     associated with the tool.
+            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
+            #   associated with the tool.
             #
             #   @return [Array<String>, nil]
             optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -116,9 +116,9 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] vector_store_ids
             #   The
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     attached to this thread. There can be a maximum of 1 vector store attached to
-            #     the thread.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   attached to this thread. There can be a maximum of 1 vector store attached to
+            #   the thread.
             #
             #   @return [Array<String>, nil]
             optional :vector_store_ids, OpenAI::Internal::Type::ArrayOf[String]
diff --git a/lib/openai/models/beta/thread_create_and_run_params.rb b/lib/openai/models/beta/thread_create_and_run_params.rb
index 38c89eea..4612ebd8 100644
--- a/lib/openai/models/beta/thread_create_and_run_params.rb
+++ b/lib/openai/models/beta/thread_create_and_run_params.rb
@@ -13,63 +13,63 @@ class ThreadCreateAndRunParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute assistant_id
         #   The ID of the
-        #     [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
-        #     execute this run.
+        #   [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+        #   execute this run.
         #
         #   @return [String]
         required :assistant_id, String
 
         # @!attribute instructions
         #   Override the default system message of the assistant. This is useful for
-        #     modifying the behavior on a per-run basis.
+        #   modifying the behavior on a per-run basis.
         #
         #   @return [String, nil]
         optional :instructions, String, nil?: true
 
         # @!attribute max_completion_tokens
         #   The maximum number of completion tokens that may be used over the course of the
-        #     run. The run will make a best effort to use only the number of completion tokens
-        #     specified, across multiple turns of the run. If the run exceeds the number of
-        #     completion tokens specified, the run will end with status `incomplete`. See
-        #     `incomplete_details` for more info.
+        #   run. The run will make a best effort to use only the number of completion tokens
+        #   specified, across multiple turns of the run. If the run exceeds the number of
+        #   completion tokens specified, the run will end with status `incomplete`. See
+        #   `incomplete_details` for more info.
         #
         #   @return [Integer, nil]
         optional :max_completion_tokens, Integer, nil?: true
 
         # @!attribute max_prompt_tokens
         #   The maximum number of prompt tokens that may be used over the course of the run.
-        #     The run will make a best effort to use only the number of prompt tokens
-        #     specified, across multiple turns of the run. If the run exceeds the number of
-        #     prompt tokens specified, the run will end with status `incomplete`. See
-        #     `incomplete_details` for more info.
+        #   The run will make a best effort to use only the number of prompt tokens
+        #   specified, across multiple turns of the run. If the run exceeds the number of
+        #   prompt tokens specified, the run will end with status `incomplete`. See
+        #   `incomplete_details` for more info.
         #
         #   @return [Integer, nil]
         optional :max_prompt_tokens, Integer, nil?: true
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
         # @!attribute model
         #   The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-        #     be used to execute this run. If a value is provided here, it will override the
-        #     model associated with the assistant. If not, the model associated with the
-        #     assistant will be used.
+        #   be used to execute this run. If a value is provided here, it will override the
+        #   model associated with the assistant. If not, the model associated with the
+        #   assistant will be used.
         #
         #   @return [String, Symbol, OpenAI::Models::ChatModel, nil]
         optional :model, union: -> { OpenAI::Models::Beta::ThreadCreateAndRunParams::Model }, nil?: true
 
         # @!attribute [r] parallel_tool_calls
         #   Whether to enable
-        #     [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-        #     during tool use.
+        #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+        #   during tool use.
         #
         #   @return [Boolean, nil]
         optional :parallel_tool_calls, OpenAI::Internal::Type::Boolean
@@ -80,40 +80,40 @@ class ThreadCreateAndRunParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute response_format
         #   Specifies the format that the model must output. Compatible with
-        #     [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-        #     [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-        #     and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+        #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+        #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+        #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
         #
-        #     Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #     Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #     in the
-        #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
+        #   in the
+        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #     Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-        #     message the model generates is valid JSON.
+        #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+        #   message the model generates is valid JSON.
         #
-        #     **Important:** when using JSON mode, you **must** also instruct the model to
-        #     produce JSON yourself via a system or user message. Without this, the model may
-        #     generate an unending stream of whitespace until the generation reaches the token
-        #     limit, resulting in a long-running and seemingly "stuck" request. Also note that
-        #     the message content may be partially cut off if `finish_reason="length"`, which
-        #     indicates the generation exceeded `max_tokens` or the conversation exceeded the
-        #     max context length.
+        #   **Important:** when using JSON mode, you **must** also instruct the model to
+        #   produce JSON yourself via a system or user message. Without this, the model may
+        #   generate an unending stream of whitespace until the generation reaches the token
+        #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
+        #   the message content may be partially cut off if `finish_reason="length"`, which
+        #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
+        #   max context length.
         #
         #   @return [Symbol, :auto, OpenAI::Models::ResponseFormatText, OpenAI::Models::ResponseFormatJSONObject, OpenAI::Models::ResponseFormatJSONSchema, nil]
         optional :response_format, union: -> { OpenAI::Models::Beta::AssistantResponseFormatOption }, nil?: true
 
         # @!attribute temperature
         #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #     make the output more random, while lower values like 0.2 will make it more
-        #     focused and deterministic.
+        #   make the output more random, while lower values like 0.2 will make it more
+        #   focused and deterministic.
         #
         #   @return [Float, nil]
         optional :temperature, Float, nil?: true
 
         # @!attribute [r] thread
         #   Options to create a new thread. If no thread is provided when running a request,
-        #     an empty thread will be created.
+        #   an empty thread will be created.
         #
         #   @return [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread, nil]
         optional :thread, -> { OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread }
@@ -124,28 +124,28 @@ class ThreadCreateAndRunParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute tool_choice
         #   Controls which (if any) tool is called by the model. `none` means the model will
-        #     not call any tools and instead generates a message. `auto` is the default value
-        #     and means the model can pick between generating a message or calling one or more
-        #     tools. `required` means the model must call one or more tools before responding
-        #     to the user. Specifying a particular tool like `{"type": "file_search"}` or
-        #     `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-        #     call that tool.
+        #   not call any tools and instead generates a message. `auto` is the default value
+        #   and means the model can pick between generating a message or calling one or more
+        #   tools. `required` means the model must call one or more tools before responding
+        #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
+        #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+        #   call that tool.
         #
         #   @return [Symbol, OpenAI::Models::Beta::AssistantToolChoiceOption::Auto, OpenAI::Models::Beta::AssistantToolChoice, nil]
         optional :tool_choice, union: -> { OpenAI::Models::Beta::AssistantToolChoiceOption }, nil?: true
 
         # @!attribute tool_resources
         #   A set of resources that are used by the assistant's tools. The resources are
-        #     specific to the type of tool. For example, the `code_interpreter` tool requires
-        #     a list of file IDs, while the `file_search` tool requires a list of vector store
-        #     IDs.
+        #   specific to the type of tool. For example, the `code_interpreter` tool requires
+        #   a list of file IDs, while the `file_search` tool requires a list of vector store
+        #   IDs.
         #
         #   @return [OpenAI::Models::Beta::ThreadCreateAndRunParams::ToolResources, nil]
         optional :tool_resources, -> { OpenAI::Models::Beta::ThreadCreateAndRunParams::ToolResources }, nil?: true
 
         # @!attribute tools
         #   Override the tools the assistant can use for this run. This is useful for
-        #     modifying the behavior on a per-run basis.
+        #   modifying the behavior on a per-run basis.
         #
         #   @return [Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>, nil]
         optional :tools,
@@ -154,17 +154,17 @@ class ThreadCreateAndRunParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute top_p
         #   An alternative to sampling with temperature, called nucleus sampling, where the
-        #     model considers the results of the tokens with top_p probability mass. So 0.1
-        #     means only the tokens comprising the top 10% probability mass are considered.
+        #   model considers the results of the tokens with top_p probability mass. So 0.1
+        #   means only the tokens comprising the top 10% probability mass are considered.
         #
-        #     We generally recommend altering this or temperature but not both.
+        #   We generally recommend altering this or temperature but not both.
         #
         #   @return [Float, nil]
         optional :top_p, Float, nil?: true
 
         # @!attribute truncation_strategy
         #   Controls for how a thread will be truncated prior to the run. Use this to
-        #     control the intial context window of the run.
+        #   control the intial context window of the run.
         #
         #   @return [OpenAI::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy, nil]
         optional :truncation_strategy,
@@ -214,9 +214,9 @@ class ThreadCreateAndRunParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-        #   be used to execute this run. If a value is provided here, it will override the
-        #   model associated with the assistant. If not, the model associated with the
-        #   assistant will be used.
+        # be used to execute this run. If a value is provided here, it will override the
+        # model associated with the assistant. If not, the model associated with the
+        # assistant will be used.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -233,7 +233,7 @@ module Model
         class Thread < OpenAI::Internal::Type::BaseModel
           # @!attribute [r] messages
           #   A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
-          #     start the thread with.
+          #   start the thread with.
           #
           #   @return [Array<OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::Message>, nil]
           optional :messages,
@@ -245,20 +245,20 @@ class Thread < OpenAI::Internal::Type::BaseModel
 
           # @!attribute metadata
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard.
           #
-          #     Keys are strings with a maximum length of 64 characters. Values are strings with
-          #     a maximum length of 512 characters.
+          #   Keys are strings with a maximum length of 64 characters. Values are strings with
+          #   a maximum length of 512 characters.
           #
           #   @return [Hash{Symbol=>String}, nil]
           optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
           # @!attribute tool_resources
           #   A set of resources that are made available to the assistant's tools in this
-          #     thread. The resources are specific to the type of tool. For example, the
-          #     `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #     tool requires a list of vector store IDs.
+          #   thread. The resources are specific to the type of tool. For example, the
+          #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          #   tool requires a list of vector store IDs.
           #
           #   @return [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources, nil]
           optional :tool_resources,
@@ -267,7 +267,7 @@ class Thread < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Options to create a new thread. If no thread is provided when running a request,
-          #   #   an empty thread will be created.
+          #   # an empty thread will be created.
           #   #
           #   # @param messages [Array<OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::Message>]
           #   # @param metadata [Hash{Symbol=>String}, nil]
@@ -287,10 +287,10 @@ class Message < OpenAI::Internal::Type::BaseModel
             # @!attribute role
             #   The role of the entity that is creating the message. Allowed values include:
             #
-            #     - `user`: Indicates the message is sent by an actual user and should be used in
-            #       most cases to represent user-generated messages.
-            #     - `assistant`: Indicates the message is generated by the assistant. Use this
-            #       value to insert messages from the assistant into the conversation.
+            #   - `user`: Indicates the message is sent by an actual user and should be used in
+            #     most cases to represent user-generated messages.
+            #   - `assistant`: Indicates the message is generated by the assistant. Use this
+            #     value to insert messages from the assistant into the conversation.
             #
             #   @return [Symbol, OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::Message::Role]
             required :role, enum: -> { OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::Message::Role }
@@ -305,11 +305,11 @@ class Message < OpenAI::Internal::Type::BaseModel
 
             # @!attribute metadata
             #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-            #     for storing additional information about the object in a structured format, and
-            #     querying for objects via API or the dashboard.
+            #   for storing additional information about the object in a structured format, and
+            #   querying for objects via API or the dashboard.
             #
-            #     Keys are strings with a maximum length of 64 characters. Values are strings with
-            #     a maximum length of 512 characters.
+            #   Keys are strings with a maximum length of 64 characters. Values are strings with
+            #   a maximum length of 512 characters.
             #
             #   @return [Hash{Symbol=>String}, nil]
             optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -346,10 +346,10 @@ module Content
 
             # The role of the entity that is creating the message. Allowed values include:
             #
-            #   - `user`: Indicates the message is sent by an actual user and should be used in
-            #     most cases to represent user-generated messages.
-            #   - `assistant`: Indicates the message is generated by the assistant. Use this
-            #     value to insert messages from the assistant into the conversation.
+            # - `user`: Indicates the message is sent by an actual user and should be used in
+            #   most cases to represent user-generated messages.
+            # - `assistant`: Indicates the message is generated by the assistant. Use this
+            #   value to insert messages from the assistant into the conversation.
             #
             # @see OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::Message#role
             module Role
@@ -451,9 +451,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
 
             # @!parse
             #   # A set of resources that are made available to the assistant's tools in this
-            #   #   thread. The resources are specific to the type of tool. For example, the
-            #   #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-            #   #   tool requires a list of vector store IDs.
+            #   # thread. The resources are specific to the type of tool. For example, the
+            #   # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+            #   # tool requires a list of vector store IDs.
             #   #
             #   # @param code_interpreter [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::CodeInterpreter]
             #   # @param file_search [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch]
@@ -466,8 +466,8 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
             class CodeInterpreter < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] file_ids
               #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-              #     available to the `code_interpreter` tool. There can be a maximum of 20 files
-              #     associated with the tool.
+              #   available to the `code_interpreter` tool. There can be a maximum of 20 files
+              #   associated with the tool.
               #
               #   @return [Array<String>, nil]
               optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -488,9 +488,9 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             class FileSearch < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] vector_store_ids
               #   The
-              #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-              #     attached to this thread. There can be a maximum of 1 vector store attached to
-              #     the thread.
+              #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+              #   attached to this thread. There can be a maximum of 1 vector store attached to
+              #   the thread.
               #
               #   @return [Array<String>, nil]
               optional :vector_store_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -501,9 +501,9 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] vector_stores
               #   A helper to create a
-              #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-              #     with file_ids and attach it to this thread. There can be a maximum of 1 vector
-              #     store attached to the thread.
+              #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+              #   with file_ids and attach it to this thread. There can be a maximum of 1 vector
+              #   store attached to the thread.
               #
               #   @return [Array<OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore>, nil]
               optional :vector_stores,
@@ -524,7 +524,7 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
               class VectorStore < OpenAI::Internal::Type::BaseModel
                 # @!attribute [r] chunking_strategy
                 #   The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-                #     strategy.
+                #   strategy.
                 #
                 #   @return [OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static, nil]
                 optional :chunking_strategy,
@@ -536,8 +536,8 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
                 # @!attribute [r] file_ids
                 #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-                #     add to the vector store. There can be a maximum of 10000 files in a vector
-                #     store.
+                #   add to the vector store. There can be a maximum of 10000 files in a vector
+                #   store.
                 #
                 #   @return [Array<String>, nil]
                 optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -548,11 +548,11 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
                 # @!attribute metadata
                 #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-                #     for storing additional information about the object in a structured format, and
-                #     querying for objects via API or the dashboard.
+                #   for storing additional information about the object in a structured format, and
+                #   querying for objects via API or the dashboard.
                 #
-                #     Keys are strings with a maximum length of 64 characters. Values are strings with
-                #     a maximum length of 512 characters.
+                #   Keys are strings with a maximum length of 64 characters. Values are strings with
+                #   a maximum length of 512 characters.
                 #
                 #   @return [Hash{Symbol=>String}, nil]
                 optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -567,7 +567,7 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
                 # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
                 # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-                #   strategy.
+                # strategy.
                 #
                 # @see OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources::FileSearch::VectorStore#chunking_strategy
                 module ChunkingStrategy
@@ -591,7 +591,7 @@ class Auto < OpenAI::Internal::Type::BaseModel
 
                     # @!parse
                     #   # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
-                    #   #   `800` and `chunk_overlap_tokens` of `400`.
+                    #   # `800` and `chunk_overlap_tokens` of `400`.
                     #   #
                     #   # @param type [Symbol, :auto]
                     #   #
@@ -626,14 +626,14 @@ class Static < OpenAI::Internal::Type::BaseModel
                       # @!attribute chunk_overlap_tokens
                       #   The number of tokens that overlap between chunks. The default value is `400`.
                       #
-                      #     Note that the overlap must not exceed half of `max_chunk_size_tokens`.
+                      #   Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                       #
                       #   @return [Integer]
                       required :chunk_overlap_tokens, Integer
 
                       # @!attribute max_chunk_size_tokens
                       #   The maximum number of tokens in each chunk. The default value is `800`. The
-                      #     minimum value is `100` and the maximum value is `4096`.
+                      #   minimum value is `100` and the maximum value is `4096`.
                       #
                       #   @return [Integer]
                       required :max_chunk_size_tokens, Integer
@@ -679,9 +679,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A set of resources that are used by the assistant's tools. The resources are
-          #   #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   #   IDs.
+          #   # specific to the type of tool. For example, the `code_interpreter` tool requires
+          #   # a list of file IDs, while the `file_search` tool requires a list of vector store
+          #   # IDs.
           #   #
           #   # @param code_interpreter [OpenAI::Models::Beta::ThreadCreateAndRunParams::ToolResources::CodeInterpreter]
           #   # @param file_search [OpenAI::Models::Beta::ThreadCreateAndRunParams::ToolResources::FileSearch]
@@ -694,8 +694,8 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] file_ids
             #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #     available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #     associated with the tool.
+            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
+            #   associated with the tool.
             #
             #   @return [Array<String>, nil]
             optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -716,9 +716,9 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] vector_store_ids
             #   The ID of the
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     attached to this assistant. There can be a maximum of 1 vector store attached to
-            #     the assistant.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   attached to this assistant. There can be a maximum of 1 vector store attached to
+            #   the assistant.
             #
             #   @return [Array<String>, nil]
             optional :vector_store_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -753,23 +753,23 @@ module Tool
         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`.
+          #   `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::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy::Type]
           required :type, enum: -> { OpenAI::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy::Type }
 
           # @!attribute last_messages
           #   The number of most recent messages from the thread when constructing the context
-          #     for the run.
+          #   for the run.
           #
           #   @return [Integer, nil]
           optional :last_messages, Integer, nil?: true
 
           # @!parse
           #   # Controls for how a thread will be truncated prior to the run. Use this to
-          #   #   control the intial context window of the run.
+          #   # control the intial context window of the run.
           #   #
           #   # @param type [Symbol, OpenAI::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy::Type]
           #   # @param last_messages [Integer, nil]
@@ -779,9 +779,9 @@ class TruncationStrategy < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # 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`.
+          # `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::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy#type
           module Type
diff --git a/lib/openai/models/beta/thread_create_params.rb b/lib/openai/models/beta/thread_create_params.rb
index 6e46487b..08818856 100644
--- a/lib/openai/models/beta/thread_create_params.rb
+++ b/lib/openai/models/beta/thread_create_params.rb
@@ -11,7 +11,7 @@ class ThreadCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] messages
         #   A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
-        #     start the thread with.
+        #   start the thread with.
         #
         #   @return [Array<OpenAI::Models::Beta::ThreadCreateParams::Message>, nil]
         optional :messages,
@@ -23,20 +23,20 @@ class ThreadCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
         # @!attribute tool_resources
         #   A set of resources that are made available to the assistant's tools in this
-        #     thread. The resources are specific to the type of tool. For example, the
-        #     `code_interpreter` tool requires a list of file IDs, while the `file_search`
-        #     tool requires a list of vector store IDs.
+        #   thread. The resources are specific to the type of tool. For example, the
+        #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
+        #   tool requires a list of vector store IDs.
         #
         #   @return [OpenAI::Models::Beta::ThreadCreateParams::ToolResources, nil]
         optional :tool_resources, -> { OpenAI::Models::Beta::ThreadCreateParams::ToolResources }, nil?: true
@@ -61,10 +61,10 @@ class Message < OpenAI::Internal::Type::BaseModel
           # @!attribute role
           #   The role of the entity that is creating the message. Allowed values include:
           #
-          #     - `user`: Indicates the message is sent by an actual user and should be used in
-          #       most cases to represent user-generated messages.
-          #     - `assistant`: Indicates the message is generated by the assistant. Use this
-          #       value to insert messages from the assistant into the conversation.
+          #   - `user`: Indicates the message is sent by an actual user and should be used in
+          #     most cases to represent user-generated messages.
+          #   - `assistant`: Indicates the message is generated by the assistant. Use this
+          #     value to insert messages from the assistant into the conversation.
           #
           #   @return [Symbol, OpenAI::Models::Beta::ThreadCreateParams::Message::Role]
           required :role, enum: -> { OpenAI::Models::Beta::ThreadCreateParams::Message::Role }
@@ -79,11 +79,11 @@ class Message < OpenAI::Internal::Type::BaseModel
 
           # @!attribute metadata
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard.
           #
-          #     Keys are strings with a maximum length of 64 characters. Values are strings with
-          #     a maximum length of 512 characters.
+          #   Keys are strings with a maximum length of 64 characters. Values are strings with
+          #   a maximum length of 512 characters.
           #
           #   @return [Hash{Symbol=>String}, nil]
           optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -120,10 +120,10 @@ module Content
 
           # The role of the entity that is creating the message. Allowed values include:
           #
-          #   - `user`: Indicates the message is sent by an actual user and should be used in
-          #     most cases to represent user-generated messages.
-          #   - `assistant`: Indicates the message is generated by the assistant. Use this
-          #     value to insert messages from the assistant into the conversation.
+          # - `user`: Indicates the message is sent by an actual user and should be used in
+          #   most cases to represent user-generated messages.
+          # - `assistant`: Indicates the message is generated by the assistant. Use this
+          #   value to insert messages from the assistant into the conversation.
           #
           # @see OpenAI::Models::Beta::ThreadCreateParams::Message#role
           module Role
@@ -223,9 +223,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A set of resources that are made available to the assistant's tools in this
-          #   #   thread. The resources are specific to the type of tool. For example, the
-          #   #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   #   tool requires a list of vector store IDs.
+          #   # thread. The resources are specific to the type of tool. For example, the
+          #   # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          #   # tool requires a list of vector store IDs.
           #   #
           #   # @param code_interpreter [OpenAI::Models::Beta::ThreadCreateParams::ToolResources::CodeInterpreter]
           #   # @param file_search [OpenAI::Models::Beta::ThreadCreateParams::ToolResources::FileSearch]
@@ -238,8 +238,8 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] file_ids
             #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #     available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #     associated with the tool.
+            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
+            #   associated with the tool.
             #
             #   @return [Array<String>, nil]
             optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -260,9 +260,9 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] vector_store_ids
             #   The
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     attached to this thread. There can be a maximum of 1 vector store attached to
-            #     the thread.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   attached to this thread. There can be a maximum of 1 vector store attached to
+            #   the thread.
             #
             #   @return [Array<String>, nil]
             optional :vector_store_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -273,9 +273,9 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] vector_stores
             #   A helper to create a
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     with file_ids and attach it to this thread. There can be a maximum of 1 vector
-            #     store attached to the thread.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   with file_ids and attach it to this thread. There can be a maximum of 1 vector
+            #   store attached to the thread.
             #
             #   @return [Array<OpenAI::Models::Beta::ThreadCreateParams::ToolResources::FileSearch::VectorStore>, nil]
             optional :vector_stores,
@@ -296,7 +296,7 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
             class VectorStore < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] chunking_strategy
               #   The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-              #     strategy.
+              #   strategy.
               #
               #   @return [OpenAI::Models::Beta::ThreadCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::ThreadCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static, nil]
               optional :chunking_strategy,
@@ -308,8 +308,8 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] file_ids
               #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-              #     add to the vector store. There can be a maximum of 10000 files in a vector
-              #     store.
+              #   add to the vector store. There can be a maximum of 10000 files in a vector
+              #   store.
               #
               #   @return [Array<String>, nil]
               optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -320,11 +320,11 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
               # @!attribute metadata
               #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-              #     for storing additional information about the object in a structured format, and
-              #     querying for objects via API or the dashboard.
+              #   for storing additional information about the object in a structured format, and
+              #   querying for objects via API or the dashboard.
               #
-              #     Keys are strings with a maximum length of 64 characters. Values are strings with
-              #     a maximum length of 512 characters.
+              #   Keys are strings with a maximum length of 64 characters. Values are strings with
+              #   a maximum length of 512 characters.
               #
               #   @return [Hash{Symbol=>String}, nil]
               optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -339,7 +339,7 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
               # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
               # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-              #   strategy.
+              # strategy.
               #
               # @see OpenAI::Models::Beta::ThreadCreateParams::ToolResources::FileSearch::VectorStore#chunking_strategy
               module ChunkingStrategy
@@ -363,7 +363,7 @@ class Auto < OpenAI::Internal::Type::BaseModel
 
                   # @!parse
                   #   # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
-                  #   #   `800` and `chunk_overlap_tokens` of `400`.
+                  #   # `800` and `chunk_overlap_tokens` of `400`.
                   #   #
                   #   # @param type [Symbol, :auto]
                   #   #
@@ -398,14 +398,14 @@ class Static < OpenAI::Internal::Type::BaseModel
                     # @!attribute chunk_overlap_tokens
                     #   The number of tokens that overlap between chunks. The default value is `400`.
                     #
-                    #     Note that the overlap must not exceed half of `max_chunk_size_tokens`.
+                    #   Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                     #
                     #   @return [Integer]
                     required :chunk_overlap_tokens, Integer
 
                     # @!attribute max_chunk_size_tokens
                     #   The maximum number of tokens in each chunk. The default value is `800`. The
-                    #     minimum value is `100` and the maximum value is `4096`.
+                    #   minimum value is `100` and the maximum value is `4096`.
                     #
                     #   @return [Integer]
                     required :max_chunk_size_tokens, Integer
diff --git a/lib/openai/models/beta/thread_stream_event.rb b/lib/openai/models/beta/thread_stream_event.rb
index 416358fd..e67ecf5f 100644
--- a/lib/openai/models/beta/thread_stream_event.rb
+++ b/lib/openai/models/beta/thread_stream_event.rb
@@ -6,7 +6,7 @@ module Beta
       class ThreadStreamEvent < OpenAI::Internal::Type::BaseModel
         # @!attribute data
         #   Represents a thread that contains
-        #     [messages](https://platform.openai.com/docs/api-reference/messages).
+        #   [messages](https://platform.openai.com/docs/api-reference/messages).
         #
         #   @return [OpenAI::Models::Beta::Thread]
         required :data, -> { OpenAI::Models::Beta::Thread }
@@ -28,8 +28,8 @@ class ThreadStreamEvent < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Occurs when a new
-        #   #   [thread](https://platform.openai.com/docs/api-reference/threads/object) is
-        #   #   created.
+        #   # [thread](https://platform.openai.com/docs/api-reference/threads/object) is
+        #   # created.
         #   #
         #   # @param data [OpenAI::Models::Beta::Thread]
         #   # @param enabled [Boolean]
diff --git a/lib/openai/models/beta/thread_update_params.rb b/lib/openai/models/beta/thread_update_params.rb
index 10ec2820..07938465 100644
--- a/lib/openai/models/beta/thread_update_params.rb
+++ b/lib/openai/models/beta/thread_update_params.rb
@@ -11,20 +11,20 @@ class ThreadUpdateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
         # @!attribute tool_resources
         #   A set of resources that are made available to the assistant's tools in this
-        #     thread. The resources are specific to the type of tool. For example, the
-        #     `code_interpreter` tool requires a list of file IDs, while the `file_search`
-        #     tool requires a list of vector store IDs.
+        #   thread. The resources are specific to the type of tool. For example, the
+        #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
+        #   tool requires a list of vector store IDs.
         #
         #   @return [OpenAI::Models::Beta::ThreadUpdateParams::ToolResources, nil]
         optional :tool_resources, -> { OpenAI::Models::Beta::ThreadUpdateParams::ToolResources }, nil?: true
@@ -60,9 +60,9 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A set of resources that are made available to the assistant's tools in this
-          #   #   thread. The resources are specific to the type of tool. For example, the
-          #   #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   #   tool requires a list of vector store IDs.
+          #   # thread. The resources are specific to the type of tool. For example, the
+          #   # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          #   # tool requires a list of vector store IDs.
           #   #
           #   # @param code_interpreter [OpenAI::Models::Beta::ThreadUpdateParams::ToolResources::CodeInterpreter]
           #   # @param file_search [OpenAI::Models::Beta::ThreadUpdateParams::ToolResources::FileSearch]
@@ -75,8 +75,8 @@ class ToolResources < OpenAI::Internal::Type::BaseModel
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] file_ids
             #   A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #     available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #     associated with the tool.
+            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
+            #   associated with the tool.
             #
             #   @return [Array<String>, nil]
             optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -97,9 +97,9 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] vector_store_ids
             #   The
-            #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #     attached to this thread. There can be a maximum of 1 vector store attached to
-            #     the thread.
+            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            #   attached to this thread. There can be a maximum of 1 vector store attached to
+            #   the thread.
             #
             #   @return [Array<String>, nil]
             optional :vector_store_ids, OpenAI::Internal::Type::ArrayOf[String]
diff --git a/lib/openai/models/beta/threads/annotation.rb b/lib/openai/models/beta/threads/annotation.rb
index 0086d3c1..10511e12 100644
--- a/lib/openai/models/beta/threads/annotation.rb
+++ b/lib/openai/models/beta/threads/annotation.rb
@@ -5,8 +5,8 @@ module Models
     module Beta
       module Threads
         # A citation within the message that points to a specific quote from a specific
-        #   File associated with the assistant or the message. Generated when the assistant
-        #   uses the "file_search" tool to search files.
+        # File associated with the assistant or the message. Generated when the assistant
+        # uses the "file_search" tool to search files.
         module Annotation
           extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/beta/threads/annotation_delta.rb b/lib/openai/models/beta/threads/annotation_delta.rb
index b5a749fd..726c91ad 100644
--- a/lib/openai/models/beta/threads/annotation_delta.rb
+++ b/lib/openai/models/beta/threads/annotation_delta.rb
@@ -5,8 +5,8 @@ module Models
     module Beta
       module Threads
         # A citation within the message that points to a specific quote from a specific
-        #   File associated with the assistant or the message. Generated when the assistant
-        #   uses the "file_search" tool to search files.
+        # File associated with the assistant or the message. Generated when the assistant
+        # uses the "file_search" tool to search files.
         module AnnotationDelta
           extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/beta/threads/file_citation_annotation.rb b/lib/openai/models/beta/threads/file_citation_annotation.rb
index 404d9340..cf4eab2d 100644
--- a/lib/openai/models/beta/threads/file_citation_annotation.rb
+++ b/lib/openai/models/beta/threads/file_citation_annotation.rb
@@ -34,8 +34,8 @@ class FileCitationAnnotation < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A citation within the message that points to a specific quote from a specific
-          #   #   File associated with the assistant or the message. Generated when the assistant
-          #   #   uses the "file_search" tool to search files.
+          #   # File associated with the assistant or the message. Generated when the assistant
+          #   # uses the "file_search" tool to search files.
           #   #
           #   # @param end_index [Integer]
           #   # @param file_citation [OpenAI::Models::Beta::Threads::FileCitationAnnotation::FileCitation]
diff --git a/lib/openai/models/beta/threads/file_citation_delta_annotation.rb b/lib/openai/models/beta/threads/file_citation_delta_annotation.rb
index 5077a210..d1ac99c2 100644
--- a/lib/openai/models/beta/threads/file_citation_delta_annotation.rb
+++ b/lib/openai/models/beta/threads/file_citation_delta_annotation.rb
@@ -56,8 +56,8 @@ class FileCitationDeltaAnnotation < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A citation within the message that points to a specific quote from a specific
-          #   #   File associated with the assistant or the message. Generated when the assistant
-          #   #   uses the "file_search" tool to search files.
+          #   # File associated with the assistant or the message. Generated when the assistant
+          #   # uses the "file_search" tool to search files.
           #   #
           #   # @param index [Integer]
           #   # @param end_index [Integer]
diff --git a/lib/openai/models/beta/threads/file_path_annotation.rb b/lib/openai/models/beta/threads/file_path_annotation.rb
index 9bf12486..c1a51ef6 100644
--- a/lib/openai/models/beta/threads/file_path_annotation.rb
+++ b/lib/openai/models/beta/threads/file_path_annotation.rb
@@ -34,7 +34,7 @@ class FilePathAnnotation < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A URL for the file that's generated when the assistant used the
-          #   #   `code_interpreter` tool to generate a file.
+          #   # `code_interpreter` tool to generate a file.
           #   #
           #   # @param end_index [Integer]
           #   # @param file_path [OpenAI::Models::Beta::Threads::FilePathAnnotation::FilePath]
diff --git a/lib/openai/models/beta/threads/file_path_delta_annotation.rb b/lib/openai/models/beta/threads/file_path_delta_annotation.rb
index cb1c00a6..975bd449 100644
--- a/lib/openai/models/beta/threads/file_path_delta_annotation.rb
+++ b/lib/openai/models/beta/threads/file_path_delta_annotation.rb
@@ -56,7 +56,7 @@ class FilePathDeltaAnnotation < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # A URL for the file that's generated when the assistant used the
-          #   #   `code_interpreter` tool to generate a file.
+          #   # `code_interpreter` tool to generate a file.
           #   #
           #   # @param index [Integer]
           #   # @param end_index [Integer]
diff --git a/lib/openai/models/beta/threads/image_file.rb b/lib/openai/models/beta/threads/image_file.rb
index bd2e1f25..631803f6 100644
--- a/lib/openai/models/beta/threads/image_file.rb
+++ b/lib/openai/models/beta/threads/image_file.rb
@@ -7,15 +7,15 @@ module Threads
         class ImageFile < OpenAI::Internal::Type::BaseModel
           # @!attribute file_id
           #   The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
-          #     in the message content. Set `purpose="vision"` when uploading the File if you
-          #     need to later display the file content.
+          #   in the message content. Set `purpose="vision"` when uploading the File if you
+          #   need to later display the file content.
           #
           #   @return [String]
           required :file_id, String
 
           # @!attribute [r] detail
           #   Specifies the detail level of the image if specified by the user. `low` uses
-          #     fewer tokens, you can opt in to high resolution using `high`.
+          #   fewer tokens, you can opt in to high resolution using `high`.
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::ImageFile::Detail, nil]
           optional :detail, enum: -> { OpenAI::Models::Beta::Threads::ImageFile::Detail }
@@ -33,7 +33,7 @@ class ImageFile < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Specifies the detail level of the image if specified by the user. `low` uses
-          #   fewer tokens, you can opt in to high resolution using `high`.
+          # fewer tokens, you can opt in to high resolution using `high`.
           #
           # @see OpenAI::Models::Beta::Threads::ImageFile#detail
           module Detail
diff --git a/lib/openai/models/beta/threads/image_file_content_block.rb b/lib/openai/models/beta/threads/image_file_content_block.rb
index 60fc0073..4a5a487e 100644
--- a/lib/openai/models/beta/threads/image_file_content_block.rb
+++ b/lib/openai/models/beta/threads/image_file_content_block.rb
@@ -18,7 +18,7 @@ class ImageFileContentBlock < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # References an image [File](https://platform.openai.com/docs/api-reference/files)
-          #   #   in the content of a message.
+          #   # in the content of a message.
           #   #
           #   # @param image_file [OpenAI::Models::Beta::Threads::ImageFile]
           #   # @param type [Symbol, :image_file]
diff --git a/lib/openai/models/beta/threads/image_file_delta.rb b/lib/openai/models/beta/threads/image_file_delta.rb
index 4d654fe4..219cfba9 100644
--- a/lib/openai/models/beta/threads/image_file_delta.rb
+++ b/lib/openai/models/beta/threads/image_file_delta.rb
@@ -7,7 +7,7 @@ module Threads
         class ImageFileDelta < OpenAI::Internal::Type::BaseModel
           # @!attribute [r] detail
           #   Specifies the detail level of the image if specified by the user. `low` uses
-          #     fewer tokens, you can opt in to high resolution using `high`.
+          #   fewer tokens, you can opt in to high resolution using `high`.
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::ImageFileDelta::Detail, nil]
           optional :detail, enum: -> { OpenAI::Models::Beta::Threads::ImageFileDelta::Detail }
@@ -18,8 +18,8 @@ class ImageFileDelta < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] file_id
           #   The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
-          #     in the message content. Set `purpose="vision"` when uploading the File if you
-          #     need to later display the file content.
+          #   in the message content. Set `purpose="vision"` when uploading the File if you
+          #   need to later display the file content.
           #
           #   @return [String, nil]
           optional :file_id, String
@@ -37,7 +37,7 @@ class ImageFileDelta < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Specifies the detail level of the image if specified by the user. `low` uses
-          #   fewer tokens, you can opt in to high resolution using `high`.
+          # fewer tokens, you can opt in to high resolution using `high`.
           #
           # @see OpenAI::Models::Beta::Threads::ImageFileDelta#detail
           module Detail
diff --git a/lib/openai/models/beta/threads/image_file_delta_block.rb b/lib/openai/models/beta/threads/image_file_delta_block.rb
index 51118d76..9a5625ad 100644
--- a/lib/openai/models/beta/threads/image_file_delta_block.rb
+++ b/lib/openai/models/beta/threads/image_file_delta_block.rb
@@ -28,7 +28,7 @@ class ImageFileDeltaBlock < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # References an image [File](https://platform.openai.com/docs/api-reference/files)
-          #   #   in the content of a message.
+          #   # in the content of a message.
           #   #
           #   # @param index [Integer]
           #   # @param image_file [OpenAI::Models::Beta::Threads::ImageFileDelta]
diff --git a/lib/openai/models/beta/threads/image_url.rb b/lib/openai/models/beta/threads/image_url.rb
index c5db8e23..a76f8467 100644
--- a/lib/openai/models/beta/threads/image_url.rb
+++ b/lib/openai/models/beta/threads/image_url.rb
@@ -7,14 +7,14 @@ module Threads
         class ImageURL < OpenAI::Internal::Type::BaseModel
           # @!attribute url
           #   The external URL of the image, must be a supported image types: jpeg, jpg, png,
-          #     gif, webp.
+          #   gif, webp.
           #
           #   @return [String]
           required :url, String
 
           # @!attribute [r] detail
           #   Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
-          #     to high resolution using `high`. Default value is `auto`
+          #   to high resolution using `high`. Default value is `auto`
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::ImageURL::Detail, nil]
           optional :detail, enum: -> { OpenAI::Models::Beta::Threads::ImageURL::Detail }
@@ -32,7 +32,7 @@ class ImageURL < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
-          #   to high resolution using `high`. Default value is `auto`
+          # to high resolution using `high`. Default value is `auto`
           #
           # @see OpenAI::Models::Beta::Threads::ImageURL#detail
           module Detail
diff --git a/lib/openai/models/beta/threads/image_url_delta.rb b/lib/openai/models/beta/threads/image_url_delta.rb
index 0c69ce94..4ae3e547 100644
--- a/lib/openai/models/beta/threads/image_url_delta.rb
+++ b/lib/openai/models/beta/threads/image_url_delta.rb
@@ -7,7 +7,7 @@ module Threads
         class ImageURLDelta < OpenAI::Internal::Type::BaseModel
           # @!attribute [r] detail
           #   Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
-          #     to high resolution using `high`.
+          #   to high resolution using `high`.
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::ImageURLDelta::Detail, nil]
           optional :detail, enum: -> { OpenAI::Models::Beta::Threads::ImageURLDelta::Detail }
@@ -18,7 +18,7 @@ class ImageURLDelta < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] url
           #   The URL of the image, must be a supported image types: jpeg, jpg, png, gif,
-          #     webp.
+          #   webp.
           #
           #   @return [String, nil]
           optional :url, String
@@ -36,7 +36,7 @@ class ImageURLDelta < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
-          #   to high resolution using `high`.
+          # to high resolution using `high`.
           #
           # @see OpenAI::Models::Beta::Threads::ImageURLDelta#detail
           module Detail
diff --git a/lib/openai/models/beta/threads/message.rb b/lib/openai/models/beta/threads/message.rb
index 4987ff90..355140de 100644
--- a/lib/openai/models/beta/threads/message.rb
+++ b/lib/openai/models/beta/threads/message.rb
@@ -14,8 +14,8 @@ class Message < OpenAI::Internal::Type::BaseModel
 
           # @!attribute assistant_id
           #   If applicable, the ID of the
-          #     [assistant](https://platform.openai.com/docs/api-reference/assistants) that
-          #     authored this message.
+          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) that
+          #   authored this message.
           #
           #   @return [String, nil]
           required :assistant_id, String, nil?: true
@@ -61,11 +61,11 @@ class Message < OpenAI::Internal::Type::BaseModel
 
           # @!attribute metadata
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard.
           #
-          #     Keys are strings with a maximum length of 64 characters. Values are strings with
-          #     a maximum length of 512 characters.
+          #   Keys are strings with a maximum length of 64 characters. Values are strings with
+          #   a maximum length of 512 characters.
           #
           #   @return [Hash{Symbol=>String}, nil]
           required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -84,29 +84,29 @@ class Message < OpenAI::Internal::Type::BaseModel
 
           # @!attribute run_id
           #   The ID of the [run](https://platform.openai.com/docs/api-reference/runs)
-          #     associated with the creation of this message. Value is `null` when messages are
-          #     created manually using the create message or create thread endpoints.
+          #   associated with the creation of this message. Value is `null` when messages are
+          #   created manually using the create message or create thread endpoints.
           #
           #   @return [String, nil]
           required :run_id, String, nil?: true
 
           # @!attribute status
           #   The status of the message, which can be either `in_progress`, `incomplete`, or
-          #     `completed`.
+          #   `completed`.
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::Message::Status]
           required :status, enum: -> { OpenAI::Models::Beta::Threads::Message::Status }
 
           # @!attribute thread_id
           #   The [thread](https://platform.openai.com/docs/api-reference/threads) ID that
-          #     this message belongs to.
+          #   this message belongs to.
           #
           #   @return [String]
           required :thread_id, String
 
           # @!parse
           #   # Represents a message within a
-          #   #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   # [thread](https://platform.openai.com/docs/api-reference/threads).
           #   #
           #   # @param id [String]
           #   # @param assistant_id [String, nil]
@@ -257,7 +257,7 @@ module Role
           end
 
           # The status of the message, which can be either `in_progress`, `incomplete`, or
-          #   `completed`.
+          # `completed`.
           #
           # @see OpenAI::Models::Beta::Threads::Message#status
           module Status
diff --git a/lib/openai/models/beta/threads/message_content.rb b/lib/openai/models/beta/threads/message_content.rb
index 793bbb1d..b6ed040c 100644
--- a/lib/openai/models/beta/threads/message_content.rb
+++ b/lib/openai/models/beta/threads/message_content.rb
@@ -5,7 +5,7 @@ module Models
     module Beta
       module Threads
         # References an image [File](https://platform.openai.com/docs/api-reference/files)
-        #   in the content of a message.
+        # in the content of a message.
         module MessageContent
           extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/beta/threads/message_content_delta.rb b/lib/openai/models/beta/threads/message_content_delta.rb
index 0d6aafd8..a69eadda 100644
--- a/lib/openai/models/beta/threads/message_content_delta.rb
+++ b/lib/openai/models/beta/threads/message_content_delta.rb
@@ -5,7 +5,7 @@ module Models
     module Beta
       module Threads
         # References an image [File](https://platform.openai.com/docs/api-reference/files)
-        #   in the content of a message.
+        # in the content of a message.
         module MessageContentDelta
           extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/beta/threads/message_content_part_param.rb b/lib/openai/models/beta/threads/message_content_part_param.rb
index 33049950..faab6ef1 100644
--- a/lib/openai/models/beta/threads/message_content_part_param.rb
+++ b/lib/openai/models/beta/threads/message_content_part_param.rb
@@ -5,7 +5,7 @@ module Models
     module Beta
       module Threads
         # References an image [File](https://platform.openai.com/docs/api-reference/files)
-        #   in the content of a message.
+        # in the content of a message.
         module MessageContentPartParam
           extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/beta/threads/message_create_params.rb b/lib/openai/models/beta/threads/message_create_params.rb
index dfabf003..ea41994f 100644
--- a/lib/openai/models/beta/threads/message_create_params.rb
+++ b/lib/openai/models/beta/threads/message_create_params.rb
@@ -19,10 +19,10 @@ class MessageCreateParams < OpenAI::Internal::Type::BaseModel
           # @!attribute role
           #   The role of the entity that is creating the message. Allowed values include:
           #
-          #     - `user`: Indicates the message is sent by an actual user and should be used in
-          #       most cases to represent user-generated messages.
-          #     - `assistant`: Indicates the message is generated by the assistant. Use this
-          #       value to insert messages from the assistant into the conversation.
+          #   - `user`: Indicates the message is sent by an actual user and should be used in
+          #     most cases to represent user-generated messages.
+          #   - `assistant`: Indicates the message is generated by the assistant. Use this
+          #     value to insert messages from the assistant into the conversation.
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::MessageCreateParams::Role]
           required :role, enum: -> { OpenAI::Models::Beta::Threads::MessageCreateParams::Role }
@@ -37,11 +37,11 @@ class MessageCreateParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute metadata
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard.
           #
-          #     Keys are strings with a maximum length of 64 characters. Values are strings with
-          #     a maximum length of 512 characters.
+          #   Keys are strings with a maximum length of 64 characters. Values are strings with
+          #   a maximum length of 512 characters.
           #
           #   @return [Hash{Symbol=>String}, nil]
           optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -77,10 +77,10 @@ module Content
 
           # The role of the entity that is creating the message. Allowed values include:
           #
-          #   - `user`: Indicates the message is sent by an actual user and should be used in
-          #     most cases to represent user-generated messages.
-          #   - `assistant`: Indicates the message is generated by the assistant. Use this
-          #     value to insert messages from the assistant into the conversation.
+          # - `user`: Indicates the message is sent by an actual user and should be used in
+          #   most cases to represent user-generated messages.
+          # - `assistant`: Indicates the message is generated by the assistant. Use this
+          #   value to insert messages from the assistant into the conversation.
           module Role
             extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/beta/threads/message_delta_event.rb b/lib/openai/models/beta/threads/message_delta_event.rb
index 11ba7a44..0e313696 100644
--- a/lib/openai/models/beta/threads/message_delta_event.rb
+++ b/lib/openai/models/beta/threads/message_delta_event.rb
@@ -25,7 +25,7 @@ class MessageDeltaEvent < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Represents a message delta i.e. any changed fields on a message during
-          #   #   streaming.
+          #   # streaming.
           #   #
           #   # @param id [String]
           #   # @param delta [OpenAI::Models::Beta::Threads::MessageDelta]
diff --git a/lib/openai/models/beta/threads/message_list_params.rb b/lib/openai/models/beta/threads/message_list_params.rb
index 9a7d62f5..b30bcf8a 100644
--- a/lib/openai/models/beta/threads/message_list_params.rb
+++ b/lib/openai/models/beta/threads/message_list_params.rb
@@ -12,9 +12,9 @@ class MessageListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] after
           #   A cursor for use in pagination. `after` is an object ID that defines your place
-          #     in the list. For instance, if you make a list request and receive 100 objects,
-          #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-          #     fetch the next page of the list.
+          #   in the list. For instance, if you make a list request and receive 100 objects,
+          #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+          #   fetch the next page of the list.
           #
           #   @return [String, nil]
           optional :after, String
@@ -25,9 +25,9 @@ class MessageListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] before
           #   A cursor for use in pagination. `before` is an object ID that defines your place
-          #     in the list. For instance, if you make a list request and receive 100 objects,
-          #     starting with obj_foo, your subsequent call can include before=obj_foo in order
-          #     to fetch the previous page of the list.
+          #   in the list. For instance, if you make a list request and receive 100 objects,
+          #   starting with obj_foo, your subsequent call can include before=obj_foo in order
+          #   to fetch the previous page of the list.
           #
           #   @return [String, nil]
           optional :before, String
@@ -38,7 +38,7 @@ class MessageListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] limit
           #   A limit on the number of objects to be returned. Limit can range between 1 and
-          #     100, and the default is 20.
+          #   100, and the default is 20.
           #
           #   @return [Integer, nil]
           optional :limit, Integer
@@ -49,7 +49,7 @@ class MessageListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] order
           #   Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #     order and `desc` for descending order.
+          #   order and `desc` for descending order.
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::MessageListParams::Order, nil]
           optional :order, enum: -> { OpenAI::Models::Beta::Threads::MessageListParams::Order }
@@ -81,7 +81,7 @@ class MessageListParams < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #   order and `desc` for descending order.
+          # order and `desc` for descending order.
           module Order
             extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/beta/threads/message_update_params.rb b/lib/openai/models/beta/threads/message_update_params.rb
index c83b973f..b02d01a6 100644
--- a/lib/openai/models/beta/threads/message_update_params.rb
+++ b/lib/openai/models/beta/threads/message_update_params.rb
@@ -17,11 +17,11 @@ class MessageUpdateParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute metadata
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard.
           #
-          #     Keys are strings with a maximum length of 64 characters. Values are strings with
-          #     a maximum length of 512 characters.
+          #   Keys are strings with a maximum length of 64 characters. Values are strings with
+          #   a maximum length of 512 characters.
           #
           #   @return [Hash{Symbol=>String}, nil]
           optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
diff --git a/lib/openai/models/beta/threads/required_action_function_tool_call.rb b/lib/openai/models/beta/threads/required_action_function_tool_call.rb
index d79d1249..bd40aadc 100644
--- a/lib/openai/models/beta/threads/required_action_function_tool_call.rb
+++ b/lib/openai/models/beta/threads/required_action_function_tool_call.rb
@@ -7,9 +7,9 @@ module Threads
         class RequiredActionFunctionToolCall < OpenAI::Internal::Type::BaseModel
           # @!attribute id
           #   The ID of the tool call. This ID must be referenced when you submit the tool
-          #     outputs in using the
-          #     [Submit tool outputs to run](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
-          #     endpoint.
+          #   outputs in using the
+          #   [Submit tool outputs to run](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
+          #   endpoint.
           #
           #   @return [String]
           required :id, String
@@ -22,7 +22,7 @@ class RequiredActionFunctionToolCall < OpenAI::Internal::Type::BaseModel
 
           # @!attribute type
           #   The type of tool call the output is required for. For now, this is always
-          #     `function`.
+          #   `function`.
           #
           #   @return [Symbol, :function]
           required :type, const: :function
diff --git a/lib/openai/models/beta/threads/run.rb b/lib/openai/models/beta/threads/run.rb
index 3c22831f..c6436c0d 100644
--- a/lib/openai/models/beta/threads/run.rb
+++ b/lib/openai/models/beta/threads/run.rb
@@ -16,8 +16,8 @@ class Run < OpenAI::Internal::Type::BaseModel
 
           # @!attribute assistant_id
           #   The ID of the
-          #     [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-          #     execution of this run.
+          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
+          #   execution of this run.
           #
           #   @return [String]
           required :assistant_id, String
@@ -54,15 +54,15 @@ class Run < OpenAI::Internal::Type::BaseModel
 
           # @!attribute incomplete_details
           #   Details on why the run is incomplete. Will be `null` if the run is not
-          #     incomplete.
+          #   incomplete.
           #
           #   @return [OpenAI::Models::Beta::Threads::Run::IncompleteDetails, nil]
           required :incomplete_details, -> { OpenAI::Models::Beta::Threads::Run::IncompleteDetails }, nil?: true
 
           # @!attribute instructions
           #   The instructions that the
-          #     [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-          #     this run.
+          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
+          #   this run.
           #
           #   @return [String]
           required :instructions, String
@@ -75,33 +75,33 @@ class Run < OpenAI::Internal::Type::BaseModel
 
           # @!attribute max_completion_tokens
           #   The maximum number of completion tokens specified to have been used over the
-          #     course of the run.
+          #   course of the run.
           #
           #   @return [Integer, nil]
           required :max_completion_tokens, Integer, nil?: true
 
           # @!attribute max_prompt_tokens
           #   The maximum number of prompt tokens specified to have been used over the course
-          #     of the run.
+          #   of the run.
           #
           #   @return [Integer, nil]
           required :max_prompt_tokens, Integer, nil?: true
 
           # @!attribute metadata
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard.
           #
-          #     Keys are strings with a maximum length of 64 characters. Values are strings with
-          #     a maximum length of 512 characters.
+          #   Keys are strings with a maximum length of 64 characters. Values are strings with
+          #   a maximum length of 512 characters.
           #
           #   @return [Hash{Symbol=>String}, nil]
           required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
           # @!attribute model
           #   The model that the
-          #     [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-          #     this run.
+          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
+          #   this run.
           #
           #   @return [String]
           required :model, String
@@ -114,40 +114,40 @@ class Run < OpenAI::Internal::Type::BaseModel
 
           # @!attribute parallel_tool_calls
           #   Whether to enable
-          #     [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-          #     during tool use.
+          #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+          #   during tool use.
           #
           #   @return [Boolean]
           required :parallel_tool_calls, OpenAI::Internal::Type::Boolean
 
           # @!attribute required_action
           #   Details on the action required to continue the run. Will be `null` if no action
-          #     is required.
+          #   is required.
           #
           #   @return [OpenAI::Models::Beta::Threads::Run::RequiredAction, nil]
           required :required_action, -> { OpenAI::Models::Beta::Threads::Run::RequiredAction }, nil?: true
 
           # @!attribute response_format
           #   Specifies the format that the model must output. Compatible with
-          #     [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-          #     [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-          #     and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+          #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+          #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+          #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
           #
-          #     Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #     Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #     in the
-          #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
+          #   in the
+          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #     Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-          #     message the model generates is valid JSON.
+          #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+          #   message the model generates is valid JSON.
           #
-          #     **Important:** when using JSON mode, you **must** also instruct the model to
-          #     produce JSON yourself via a system or user message. Without this, the model may
-          #     generate an unending stream of whitespace until the generation reaches the token
-          #     limit, resulting in a long-running and seemingly "stuck" request. Also note that
-          #     the message content may be partially cut off if `finish_reason="length"`, which
-          #     indicates the generation exceeded `max_tokens` or the conversation exceeded the
-          #     max context length.
+          #   **Important:** when using JSON mode, you **must** also instruct the model to
+          #   produce JSON yourself via a system or user message. Without this, the model may
+          #   generate an unending stream of whitespace until the generation reaches the token
+          #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
+          #   the message content may be partially cut off if `finish_reason="length"`, which
+          #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
+          #   max context length.
           #
           #   @return [Symbol, :auto, OpenAI::Models::ResponseFormatText, OpenAI::Models::ResponseFormatJSONObject, OpenAI::Models::ResponseFormatJSONSchema, nil]
           required :response_format, union: -> { OpenAI::Models::Beta::AssistantResponseFormatOption }, nil?: true
@@ -160,49 +160,49 @@ class Run < OpenAI::Internal::Type::BaseModel
 
           # @!attribute status
           #   The status of the run, which can be either `queued`, `in_progress`,
-          #     `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
-          #     `incomplete`, or `expired`.
+          #   `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
+          #   `incomplete`, or `expired`.
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::RunStatus]
           required :status, enum: -> { OpenAI::Models::Beta::Threads::RunStatus }
 
           # @!attribute thread_id
           #   The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
-          #     that was executed on as a part of this run.
+          #   that was executed on as a part of this run.
           #
           #   @return [String]
           required :thread_id, String
 
           # @!attribute tool_choice
           #   Controls which (if any) tool is called by the model. `none` means the model will
-          #     not call any tools and instead generates a message. `auto` is the default value
-          #     and means the model can pick between generating a message or calling one or more
-          #     tools. `required` means the model must call one or more tools before responding
-          #     to the user. Specifying a particular tool like `{"type": "file_search"}` or
-          #     `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-          #     call that tool.
+          #   not call any tools and instead generates a message. `auto` is the default value
+          #   and means the model can pick between generating a message or calling one or more
+          #   tools. `required` means the model must call one or more tools before responding
+          #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
+          #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+          #   call that tool.
           #
           #   @return [Symbol, OpenAI::Models::Beta::AssistantToolChoiceOption::Auto, OpenAI::Models::Beta::AssistantToolChoice, nil]
           required :tool_choice, union: -> { OpenAI::Models::Beta::AssistantToolChoiceOption }, nil?: true
 
           # @!attribute tools
           #   The list of tools that the
-          #     [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-          #     this run.
+          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
+          #   this run.
           #
           #   @return [Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>]
           required :tools, -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::Beta::AssistantTool] }
 
           # @!attribute truncation_strategy
           #   Controls for how a thread will be truncated prior to the run. Use this to
-          #     control the intial context window of the run.
+          #   control the intial context window of the run.
           #
           #   @return [OpenAI::Models::Beta::Threads::Run::TruncationStrategy, nil]
           required :truncation_strategy, -> { OpenAI::Models::Beta::Threads::Run::TruncationStrategy }, nil?: true
 
           # @!attribute usage
           #   Usage statistics related to the run. This value will be `null` if the run is not
-          #     in a terminal state (i.e. `in_progress`, `queued`, etc.).
+          #   in a terminal state (i.e. `in_progress`, `queued`, etc.).
           #
           #   @return [OpenAI::Models::Beta::Threads::Run::Usage, nil]
           required :usage, -> { OpenAI::Models::Beta::Threads::Run::Usage }, nil?: true
@@ -221,7 +221,7 @@ class Run < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Represents an execution run on a
-          #   #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          #   # [thread](https://platform.openai.com/docs/api-reference/threads).
           #   #
           #   # @param id [String]
           #   # @param assistant_id [String]
@@ -290,7 +290,7 @@ class Run < OpenAI::Internal::Type::BaseModel
           class IncompleteDetails < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] reason
             #   The reason why the run is incomplete. This will point to which specific token
-            #     limit was reached over the course of the run.
+            #   limit was reached over the course of the run.
             #
             #   @return [Symbol, OpenAI::Models::Beta::Threads::Run::IncompleteDetails::Reason, nil]
             optional :reason, enum: -> { OpenAI::Models::Beta::Threads::Run::IncompleteDetails::Reason }
@@ -301,7 +301,7 @@ class IncompleteDetails < OpenAI::Internal::Type::BaseModel
 
             # @!parse
             #   # Details on why the run is incomplete. Will be `null` if the run is not
-            #   #   incomplete.
+            #   # incomplete.
             #   #
             #   # @param reason [Symbol, OpenAI::Models::Beta::Threads::Run::IncompleteDetails::Reason]
             #   #
@@ -310,7 +310,7 @@ class IncompleteDetails < OpenAI::Internal::Type::BaseModel
             # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
             # The reason why the run is incomplete. This will point to which specific token
-            #   limit was reached over the course of the run.
+            # limit was reached over the course of the run.
             #
             # @see OpenAI::Models::Beta::Threads::Run::IncompleteDetails#reason
             module Reason
@@ -386,7 +386,7 @@ class RequiredAction < OpenAI::Internal::Type::BaseModel
 
             # @!parse
             #   # Details on the action required to continue the run. Will be `null` if no action
-            #   #   is required.
+            #   # is required.
             #   #
             #   # @param submit_tool_outputs [OpenAI::Models::Beta::Threads::Run::RequiredAction::SubmitToolOutputs]
             #   # @param type [Symbol, :submit_tool_outputs]
@@ -419,23 +419,23 @@ class SubmitToolOutputs < OpenAI::Internal::Type::BaseModel
           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`.
+            #   `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::Models::Beta::Threads::Run::TruncationStrategy::Type]
             required :type, enum: -> { OpenAI::Models::Beta::Threads::Run::TruncationStrategy::Type }
 
             # @!attribute last_messages
             #   The number of most recent messages from the thread when constructing the context
-            #     for the run.
+            #   for the run.
             #
             #   @return [Integer, nil]
             optional :last_messages, Integer, nil?: true
 
             # @!parse
             #   # Controls for how a thread will be truncated prior to the run. Use this to
-            #   #   control the intial context window of the run.
+            #   # control the intial context window of the run.
             #   #
             #   # @param type [Symbol, OpenAI::Models::Beta::Threads::Run::TruncationStrategy::Type]
             #   # @param last_messages [Integer, nil]
@@ -445,9 +445,9 @@ class TruncationStrategy < OpenAI::Internal::Type::BaseModel
             # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
             # 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`.
+            # `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::Models::Beta::Threads::Run::TruncationStrategy#type
             module Type
@@ -486,7 +486,7 @@ class Usage < OpenAI::Internal::Type::BaseModel
 
             # @!parse
             #   # Usage statistics related to the run. This value will be `null` if the run is not
-            #   #   in a terminal state (i.e. `in_progress`, `queued`, etc.).
+            #   # in a terminal state (i.e. `in_progress`, `queued`, etc.).
             #   #
             #   # @param completion_tokens [Integer]
             #   # @param prompt_tokens [Integer]
diff --git a/lib/openai/models/beta/threads/run_create_params.rb b/lib/openai/models/beta/threads/run_create_params.rb
index bb191666..a058e78e 100644
--- a/lib/openai/models/beta/threads/run_create_params.rb
+++ b/lib/openai/models/beta/threads/run_create_params.rb
@@ -14,20 +14,20 @@ class RunCreateParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute assistant_id
           #   The ID of the
-          #     [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
-          #     execute this run.
+          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+          #   execute this run.
           #
           #   @return [String]
           required :assistant_id, String
 
           # @!attribute [r] include
           #   A list of additional fields to include in the response. Currently the only
-          #     supported value is `step_details.tool_calls[*].file_search.results[*].content`
-          #     to fetch the file search result content.
+          #   supported value is `step_details.tool_calls[*].file_search.results[*].content`
+          #   to fetch the file search result content.
           #
-          #     See the
-          #     [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-          #     for more information.
+          #   See the
+          #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+          #   for more information.
           #
           #   @return [Array<Symbol, OpenAI::Models::Beta::Threads::Runs::RunStepInclude>, nil]
           optional :include,
@@ -39,8 +39,8 @@ class RunCreateParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute additional_instructions
           #   Appends additional instructions at the end of the instructions for the run. This
-          #     is useful for modifying the behavior on a per-run basis without overriding other
-          #     instructions.
+          #   is useful for modifying the behavior on a per-run basis without overriding other
+          #   instructions.
           #
           #   @return [String, nil]
           optional :additional_instructions, String, nil?: true
@@ -55,56 +55,56 @@ class RunCreateParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute instructions
           #   Overrides the
-          #     [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
-          #     of the assistant. This is useful for modifying the behavior on a per-run basis.
+          #   [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
+          #   of the assistant. This is useful for modifying the behavior on a per-run basis.
           #
           #   @return [String, nil]
           optional :instructions, String, nil?: true
 
           # @!attribute max_completion_tokens
           #   The maximum number of completion tokens that may be used over the course of the
-          #     run. The run will make a best effort to use only the number of completion tokens
-          #     specified, across multiple turns of the run. If the run exceeds the number of
-          #     completion tokens specified, the run will end with status `incomplete`. See
-          #     `incomplete_details` for more info.
+          #   run. The run will make a best effort to use only the number of completion tokens
+          #   specified, across multiple turns of the run. If the run exceeds the number of
+          #   completion tokens specified, the run will end with status `incomplete`. See
+          #   `incomplete_details` for more info.
           #
           #   @return [Integer, nil]
           optional :max_completion_tokens, Integer, nil?: true
 
           # @!attribute max_prompt_tokens
           #   The maximum number of prompt tokens that may be used over the course of the run.
-          #     The run will make a best effort to use only the number of prompt tokens
-          #     specified, across multiple turns of the run. If the run exceeds the number of
-          #     prompt tokens specified, the run will end with status `incomplete`. See
-          #     `incomplete_details` for more info.
+          #   The run will make a best effort to use only the number of prompt tokens
+          #   specified, across multiple turns of the run. If the run exceeds the number of
+          #   prompt tokens specified, the run will end with status `incomplete`. See
+          #   `incomplete_details` for more info.
           #
           #   @return [Integer, nil]
           optional :max_prompt_tokens, Integer, nil?: true
 
           # @!attribute metadata
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard.
           #
-          #     Keys are strings with a maximum length of 64 characters. Values are strings with
-          #     a maximum length of 512 characters.
+          #   Keys are strings with a maximum length of 64 characters. Values are strings with
+          #   a maximum length of 512 characters.
           #
           #   @return [Hash{Symbol=>String}, nil]
           optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
           # @!attribute model
           #   The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-          #     be used to execute this run. If a value is provided here, it will override the
-          #     model associated with the assistant. If not, the model associated with the
-          #     assistant will be used.
+          #   be used to execute this run. If a value is provided here, it will override the
+          #   model associated with the assistant. If not, the model associated with the
+          #   assistant will be used.
           #
           #   @return [String, Symbol, OpenAI::Models::ChatModel, nil]
           optional :model, union: -> { OpenAI::Models::Beta::Threads::RunCreateParams::Model }, nil?: true
 
           # @!attribute [r] parallel_tool_calls
           #   Whether to enable
-          #     [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-          #     during tool use.
+          #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+          #   during tool use.
           #
           #   @return [Boolean, nil]
           optional :parallel_tool_calls, OpenAI::Internal::Type::Boolean
@@ -116,62 +116,62 @@ class RunCreateParams < OpenAI::Internal::Type::BaseModel
           # @!attribute reasoning_effort
           #   **o-series models only**
           #
-          #     Constrains effort on reasoning for
-          #     [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-          #     supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-          #     result in faster responses and fewer tokens used on reasoning in a response.
+          #   Constrains effort on reasoning for
+          #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+          #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+          #   result in faster responses and fewer tokens used on reasoning in a response.
           #
           #   @return [Symbol, OpenAI::Models::ReasoningEffort, nil]
           optional :reasoning_effort, enum: -> { OpenAI::Models::ReasoningEffort }, nil?: true
 
           # @!attribute response_format
           #   Specifies the format that the model must output. Compatible with
-          #     [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-          #     [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-          #     and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+          #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+          #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+          #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
           #
-          #     Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #     Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #     in the
-          #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
+          #   in the
+          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #     Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-          #     message the model generates is valid JSON.
+          #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+          #   message the model generates is valid JSON.
           #
-          #     **Important:** when using JSON mode, you **must** also instruct the model to
-          #     produce JSON yourself via a system or user message. Without this, the model may
-          #     generate an unending stream of whitespace until the generation reaches the token
-          #     limit, resulting in a long-running and seemingly "stuck" request. Also note that
-          #     the message content may be partially cut off if `finish_reason="length"`, which
-          #     indicates the generation exceeded `max_tokens` or the conversation exceeded the
-          #     max context length.
+          #   **Important:** when using JSON mode, you **must** also instruct the model to
+          #   produce JSON yourself via a system or user message. Without this, the model may
+          #   generate an unending stream of whitespace until the generation reaches the token
+          #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
+          #   the message content may be partially cut off if `finish_reason="length"`, which
+          #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
+          #   max context length.
           #
           #   @return [Symbol, :auto, OpenAI::Models::ResponseFormatText, OpenAI::Models::ResponseFormatJSONObject, OpenAI::Models::ResponseFormatJSONSchema, nil]
           optional :response_format, union: -> { OpenAI::Models::Beta::AssistantResponseFormatOption }, nil?: true
 
           # @!attribute temperature
           #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-          #     make the output more random, while lower values like 0.2 will make it more
-          #     focused and deterministic.
+          #   make the output more random, while lower values like 0.2 will make it more
+          #   focused and deterministic.
           #
           #   @return [Float, nil]
           optional :temperature, Float, nil?: true
 
           # @!attribute tool_choice
           #   Controls which (if any) tool is called by the model. `none` means the model will
-          #     not call any tools and instead generates a message. `auto` is the default value
-          #     and means the model can pick between generating a message or calling one or more
-          #     tools. `required` means the model must call one or more tools before responding
-          #     to the user. Specifying a particular tool like `{"type": "file_search"}` or
-          #     `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-          #     call that tool.
+          #   not call any tools and instead generates a message. `auto` is the default value
+          #   and means the model can pick between generating a message or calling one or more
+          #   tools. `required` means the model must call one or more tools before responding
+          #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
+          #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+          #   call that tool.
           #
           #   @return [Symbol, OpenAI::Models::Beta::AssistantToolChoiceOption::Auto, OpenAI::Models::Beta::AssistantToolChoice, nil]
           optional :tool_choice, union: -> { OpenAI::Models::Beta::AssistantToolChoiceOption }, nil?: true
 
           # @!attribute tools
           #   Override the tools the assistant can use for this run. This is useful for
-          #     modifying the behavior on a per-run basis.
+          #   modifying the behavior on a per-run basis.
           #
           #   @return [Array<OpenAI::Models::Beta::CodeInterpreterTool, OpenAI::Models::Beta::FileSearchTool, OpenAI::Models::Beta::FunctionTool>, nil]
           optional :tools,
@@ -180,17 +180,17 @@ class RunCreateParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute top_p
           #   An alternative to sampling with temperature, called nucleus sampling, where the
-          #     model considers the results of the tokens with top_p probability mass. So 0.1
-          #     means only the tokens comprising the top 10% probability mass are considered.
+          #   model considers the results of the tokens with top_p probability mass. So 0.1
+          #   means only the tokens comprising the top 10% probability mass are considered.
           #
-          #     We generally recommend altering this or temperature but not both.
+          #   We generally recommend altering this or temperature but not both.
           #
           #   @return [Float, nil]
           optional :top_p, Float, nil?: true
 
           # @!attribute truncation_strategy
           #   Controls for how a thread will be truncated prior to the run. Use this to
-          #     control the intial context window of the run.
+          #   control the intial context window of the run.
           #
           #   @return [OpenAI::Models::Beta::Threads::RunCreateParams::TruncationStrategy, nil]
           optional :truncation_strategy,
@@ -254,10 +254,10 @@ class AdditionalMessage < OpenAI::Internal::Type::BaseModel
             # @!attribute role
             #   The role of the entity that is creating the message. Allowed values include:
             #
-            #     - `user`: Indicates the message is sent by an actual user and should be used in
-            #       most cases to represent user-generated messages.
-            #     - `assistant`: Indicates the message is generated by the assistant. Use this
-            #       value to insert messages from the assistant into the conversation.
+            #   - `user`: Indicates the message is sent by an actual user and should be used in
+            #     most cases to represent user-generated messages.
+            #   - `assistant`: Indicates the message is generated by the assistant. Use this
+            #     value to insert messages from the assistant into the conversation.
             #
             #   @return [Symbol, OpenAI::Models::Beta::Threads::RunCreateParams::AdditionalMessage::Role]
             required :role, enum: -> { OpenAI::Models::Beta::Threads::RunCreateParams::AdditionalMessage::Role }
@@ -272,11 +272,11 @@ class AdditionalMessage < OpenAI::Internal::Type::BaseModel
 
             # @!attribute metadata
             #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-            #     for storing additional information about the object in a structured format, and
-            #     querying for objects via API or the dashboard.
+            #   for storing additional information about the object in a structured format, and
+            #   querying for objects via API or the dashboard.
             #
-            #     Keys are strings with a maximum length of 64 characters. Values are strings with
-            #     a maximum length of 512 characters.
+            #   Keys are strings with a maximum length of 64 characters. Values are strings with
+            #   a maximum length of 512 characters.
             #
             #   @return [Hash{Symbol=>String}, nil]
             optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -313,10 +313,10 @@ module Content
 
             # The role of the entity that is creating the message. Allowed values include:
             #
-            #   - `user`: Indicates the message is sent by an actual user and should be used in
-            #     most cases to represent user-generated messages.
-            #   - `assistant`: Indicates the message is generated by the assistant. Use this
-            #     value to insert messages from the assistant into the conversation.
+            # - `user`: Indicates the message is sent by an actual user and should be used in
+            #   most cases to represent user-generated messages.
+            # - `assistant`: Indicates the message is generated by the assistant. Use this
+            #   value to insert messages from the assistant into the conversation.
             #
             # @see OpenAI::Models::Beta::Threads::RunCreateParams::AdditionalMessage#role
             module Role
@@ -395,9 +395,9 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
           end
 
           # The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-          #   be used to execute this run. If a value is provided here, it will override the
-          #   model associated with the assistant. If not, the model associated with the
-          #   assistant will be used.
+          # be used to execute this run. If a value is provided here, it will override the
+          # model associated with the assistant. If not, the model associated with the
+          # assistant will be used.
           module Model
             extend OpenAI::Internal::Type::Union
 
@@ -414,23 +414,23 @@ module Model
           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`.
+            #   `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::Models::Beta::Threads::RunCreateParams::TruncationStrategy::Type]
             required :type, enum: -> { OpenAI::Models::Beta::Threads::RunCreateParams::TruncationStrategy::Type }
 
             # @!attribute last_messages
             #   The number of most recent messages from the thread when constructing the context
-            #     for the run.
+            #   for the run.
             #
             #   @return [Integer, nil]
             optional :last_messages, Integer, nil?: true
 
             # @!parse
             #   # Controls for how a thread will be truncated prior to the run. Use this to
-            #   #   control the intial context window of the run.
+            #   # control the intial context window of the run.
             #   #
             #   # @param type [Symbol, OpenAI::Models::Beta::Threads::RunCreateParams::TruncationStrategy::Type]
             #   # @param last_messages [Integer, nil]
@@ -440,9 +440,9 @@ class TruncationStrategy < OpenAI::Internal::Type::BaseModel
             # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
             # 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`.
+            # `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::Models::Beta::Threads::RunCreateParams::TruncationStrategy#type
             module Type
diff --git a/lib/openai/models/beta/threads/run_list_params.rb b/lib/openai/models/beta/threads/run_list_params.rb
index f2b9f759..3d4e377b 100644
--- a/lib/openai/models/beta/threads/run_list_params.rb
+++ b/lib/openai/models/beta/threads/run_list_params.rb
@@ -12,9 +12,9 @@ class RunListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] after
           #   A cursor for use in pagination. `after` is an object ID that defines your place
-          #     in the list. For instance, if you make a list request and receive 100 objects,
-          #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-          #     fetch the next page of the list.
+          #   in the list. For instance, if you make a list request and receive 100 objects,
+          #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+          #   fetch the next page of the list.
           #
           #   @return [String, nil]
           optional :after, String
@@ -25,9 +25,9 @@ class RunListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] before
           #   A cursor for use in pagination. `before` is an object ID that defines your place
-          #     in the list. For instance, if you make a list request and receive 100 objects,
-          #     starting with obj_foo, your subsequent call can include before=obj_foo in order
-          #     to fetch the previous page of the list.
+          #   in the list. For instance, if you make a list request and receive 100 objects,
+          #   starting with obj_foo, your subsequent call can include before=obj_foo in order
+          #   to fetch the previous page of the list.
           #
           #   @return [String, nil]
           optional :before, String
@@ -38,7 +38,7 @@ class RunListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] limit
           #   A limit on the number of objects to be returned. Limit can range between 1 and
-          #     100, and the default is 20.
+          #   100, and the default is 20.
           #
           #   @return [Integer, nil]
           optional :limit, Integer
@@ -49,7 +49,7 @@ class RunListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] order
           #   Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #     order and `desc` for descending order.
+          #   order and `desc` for descending order.
           #
           #   @return [Symbol, OpenAI::Models::Beta::Threads::RunListParams::Order, nil]
           optional :order, enum: -> { OpenAI::Models::Beta::Threads::RunListParams::Order }
@@ -70,7 +70,7 @@ class RunListParams < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #   order and `desc` for descending order.
+          # order and `desc` for descending order.
           module Order
             extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/beta/threads/run_status.rb b/lib/openai/models/beta/threads/run_status.rb
index efb9f2b6..d17f7dc6 100644
--- a/lib/openai/models/beta/threads/run_status.rb
+++ b/lib/openai/models/beta/threads/run_status.rb
@@ -5,8 +5,8 @@ module Models
     module Beta
       module Threads
         # The status of the run, which can be either `queued`, `in_progress`,
-        #   `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
-        #   `incomplete`, or `expired`.
+        # `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
+        # `incomplete`, or `expired`.
         module RunStatus
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/beta/threads/run_submit_tool_outputs_params.rb b/lib/openai/models/beta/threads/run_submit_tool_outputs_params.rb
index 4e4733e6..2243cb1d 100644
--- a/lib/openai/models/beta/threads/run_submit_tool_outputs_params.rb
+++ b/lib/openai/models/beta/threads/run_submit_tool_outputs_params.rb
@@ -46,7 +46,7 @@ class ToolOutput < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] tool_call_id
             #   The ID of the tool call in the `required_action` object within the run object
-            #     the output is being submitted for.
+            #   the output is being submitted for.
             #
             #   @return [String, nil]
             optional :tool_call_id, String
diff --git a/lib/openai/models/beta/threads/run_update_params.rb b/lib/openai/models/beta/threads/run_update_params.rb
index 97c387fc..68b6536b 100644
--- a/lib/openai/models/beta/threads/run_update_params.rb
+++ b/lib/openai/models/beta/threads/run_update_params.rb
@@ -17,11 +17,11 @@ class RunUpdateParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute metadata
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard.
           #
-          #     Keys are strings with a maximum length of 64 characters. Values are strings with
-          #     a maximum length of 512 characters.
+          #   Keys are strings with a maximum length of 64 characters. Values are strings with
+          #   a maximum length of 512 characters.
           #
           #   @return [Hash{Symbol=>String}, nil]
           optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
diff --git a/lib/openai/models/beta/threads/runs/code_interpreter_output_image.rb b/lib/openai/models/beta/threads/runs/code_interpreter_output_image.rb
index 1fbdc55b..ab77db4e 100644
--- a/lib/openai/models/beta/threads/runs/code_interpreter_output_image.rb
+++ b/lib/openai/models/beta/threads/runs/code_interpreter_output_image.rb
@@ -40,7 +40,7 @@ class CodeInterpreterOutputImage < OpenAI::Internal::Type::BaseModel
             class Image < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] file_id
               #   The [file](https://platform.openai.com/docs/api-reference/files) ID of the
-              #     image.
+              #   image.
               #
               #   @return [String, nil]
               optional :file_id, String
diff --git a/lib/openai/models/beta/threads/runs/code_interpreter_tool_call.rb b/lib/openai/models/beta/threads/runs/code_interpreter_tool_call.rb
index 4daf4c57..60262e17 100644
--- a/lib/openai/models/beta/threads/runs/code_interpreter_tool_call.rb
+++ b/lib/openai/models/beta/threads/runs/code_interpreter_tool_call.rb
@@ -21,7 +21,7 @@ class CodeInterpreterToolCall < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   The type of tool call. This is always going to be `code_interpreter` for this
-            #     type of tool call.
+            #   type of tool call.
             #
             #   @return [Symbol, :code_interpreter]
             required :type, const: :code_interpreter
@@ -47,8 +47,8 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
 
               # @!attribute outputs
               #   The outputs from the Code Interpreter tool call. Code Interpreter can output one
-              #     or more items, including text (`logs`) or images (`image`). Each of these are
-              #     represented by a different object type.
+              #   or more items, including text (`logs`) or images (`image`). Each of these are
+              #   represented by a different object type.
               #
               #   @return [Array<OpenAI::Models::Beta::Threads::Runs::CodeInterpreterToolCall::CodeInterpreter::Output::Logs, OpenAI::Models::Beta::Threads::Runs::CodeInterpreterToolCall::CodeInterpreter::Output::Image>]
               required :outputs,
@@ -126,7 +126,7 @@ class Image < OpenAI::Internal::Type::BaseModel
                   class Image < OpenAI::Internal::Type::BaseModel
                     # @!attribute file_id
                     #   The [file](https://platform.openai.com/docs/api-reference/files) ID of the
-                    #     image.
+                    #   image.
                     #
                     #   @return [String]
                     required :file_id, String
diff --git a/lib/openai/models/beta/threads/runs/code_interpreter_tool_call_delta.rb b/lib/openai/models/beta/threads/runs/code_interpreter_tool_call_delta.rb
index 6573f533..a9cbef61 100644
--- a/lib/openai/models/beta/threads/runs/code_interpreter_tool_call_delta.rb
+++ b/lib/openai/models/beta/threads/runs/code_interpreter_tool_call_delta.rb
@@ -14,7 +14,7 @@ class CodeInterpreterToolCallDelta < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   The type of tool call. This is always going to be `code_interpreter` for this
-            #     type of tool call.
+            #   type of tool call.
             #
             #   @return [Symbol, :code_interpreter]
             required :type, const: :code_interpreter
@@ -66,8 +66,8 @@ class CodeInterpreter < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] outputs
               #   The outputs from the Code Interpreter tool call. Code Interpreter can output one
-              #     or more items, including text (`logs`) or images (`image`). Each of these are
-              #     represented by a different object type.
+              #   or more items, including text (`logs`) or images (`image`). Each of these are
+              #   represented by a different object type.
               #
               #   @return [Array<OpenAI::Models::Beta::Threads::Runs::CodeInterpreterLogs, OpenAI::Models::Beta::Threads::Runs::CodeInterpreterOutputImage>, nil]
               optional :outputs,
diff --git a/lib/openai/models/beta/threads/runs/file_search_tool_call.rb b/lib/openai/models/beta/threads/runs/file_search_tool_call.rb
index c8331a7b..3c6c423a 100644
--- a/lib/openai/models/beta/threads/runs/file_search_tool_call.rb
+++ b/lib/openai/models/beta/threads/runs/file_search_tool_call.rb
@@ -20,7 +20,7 @@ class FileSearchToolCall < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   The type of tool call. This is always going to be `file_search` for this type of
-            #     tool call.
+            #   tool call.
             #
             #   @return [Symbol, :file_search]
             required :type, const: :file_search
@@ -72,7 +72,7 @@ class FileSearch < OpenAI::Internal::Type::BaseModel
               class RankingOptions < OpenAI::Internal::Type::BaseModel
                 # @!attribute ranker
                 #   The ranker to use for the file search. If not specified will use the `auto`
-                #     ranker.
+                #   ranker.
                 #
                 #   @return [Symbol, OpenAI::Models::Beta::Threads::Runs::FileSearchToolCall::FileSearch::RankingOptions::Ranker]
                 required :ranker,
@@ -80,7 +80,7 @@ class RankingOptions < OpenAI::Internal::Type::BaseModel
 
                 # @!attribute score_threshold
                 #   The score threshold for the file search. All values must be a floating point
-                #     number between 0 and 1.
+                #   number between 0 and 1.
                 #
                 #   @return [Float]
                 required :score_threshold, Float
@@ -96,7 +96,7 @@ class RankingOptions < OpenAI::Internal::Type::BaseModel
                 # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
                 # The ranker to use for the file search. If not specified will use the `auto`
-                #   ranker.
+                # ranker.
                 #
                 # @see OpenAI::Models::Beta::Threads::Runs::FileSearchToolCall::FileSearch::RankingOptions#ranker
                 module Ranker
@@ -128,14 +128,14 @@ class Result < OpenAI::Internal::Type::BaseModel
 
                 # @!attribute score
                 #   The score of the result. All values must be a floating point number between 0
-                #     and 1.
+                #   and 1.
                 #
                 #   @return [Float]
                 required :score, Float
 
                 # @!attribute [r] content
                 #   The content of the result that was found. The content is only included if
-                #     requested via the include query parameter.
+                #   requested via the include query parameter.
                 #
                 #   @return [Array<OpenAI::Models::Beta::Threads::Runs::FileSearchToolCall::FileSearch::Result::Content>, nil]
                 optional :content,
diff --git a/lib/openai/models/beta/threads/runs/file_search_tool_call_delta.rb b/lib/openai/models/beta/threads/runs/file_search_tool_call_delta.rb
index eb5776d0..4fa2dc05 100644
--- a/lib/openai/models/beta/threads/runs/file_search_tool_call_delta.rb
+++ b/lib/openai/models/beta/threads/runs/file_search_tool_call_delta.rb
@@ -20,7 +20,7 @@ class FileSearchToolCallDelta < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   The type of tool call. This is always going to be `file_search` for this type of
-            #     tool call.
+            #   tool call.
             #
             #   @return [Symbol, :file_search]
             required :type, const: :file_search
diff --git a/lib/openai/models/beta/threads/runs/function_tool_call.rb b/lib/openai/models/beta/threads/runs/function_tool_call.rb
index f0677ac7..cc1eb09a 100644
--- a/lib/openai/models/beta/threads/runs/function_tool_call.rb
+++ b/lib/openai/models/beta/threads/runs/function_tool_call.rb
@@ -20,7 +20,7 @@ class FunctionToolCall < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   The type of tool call. This is always going to be `function` for this type of
-            #     tool call.
+            #   tool call.
             #
             #   @return [Symbol, :function]
             required :type, const: :function
@@ -50,8 +50,8 @@ class Function < OpenAI::Internal::Type::BaseModel
 
               # @!attribute output
               #   The output of the function. This will be `null` if the outputs have not been
-              #     [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
-              #     yet.
+              #   [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
+              #   yet.
               #
               #   @return [String, nil]
               required :output, String, nil?: true
diff --git a/lib/openai/models/beta/threads/runs/function_tool_call_delta.rb b/lib/openai/models/beta/threads/runs/function_tool_call_delta.rb
index c4bc767e..6a164004 100644
--- a/lib/openai/models/beta/threads/runs/function_tool_call_delta.rb
+++ b/lib/openai/models/beta/threads/runs/function_tool_call_delta.rb
@@ -14,7 +14,7 @@ class FunctionToolCallDelta < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   The type of tool call. This is always going to be `function` for this type of
-            #     tool call.
+            #   tool call.
             #
             #   @return [Symbol, :function]
             required :type, const: :function
@@ -73,8 +73,8 @@ class Function < OpenAI::Internal::Type::BaseModel
 
               # @!attribute output
               #   The output of the function. This will be `null` if the outputs have not been
-              #     [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
-              #     yet.
+              #   [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
+              #   yet.
               #
               #   @return [String, nil]
               optional :output, String, nil?: true
diff --git a/lib/openai/models/beta/threads/runs/run_step.rb b/lib/openai/models/beta/threads/runs/run_step.rb
index 9261d7c5..a4111bd4 100644
--- a/lib/openai/models/beta/threads/runs/run_step.rb
+++ b/lib/openai/models/beta/threads/runs/run_step.rb
@@ -15,8 +15,8 @@ class RunStep < OpenAI::Internal::Type::BaseModel
 
             # @!attribute assistant_id
             #   The ID of the
-            #     [assistant](https://platform.openai.com/docs/api-reference/assistants)
-            #     associated with the run step.
+            #   [assistant](https://platform.openai.com/docs/api-reference/assistants)
+            #   associated with the run step.
             #
             #   @return [String]
             required :assistant_id, String
@@ -41,7 +41,7 @@ class RunStep < OpenAI::Internal::Type::BaseModel
 
             # @!attribute expired_at
             #   The Unix timestamp (in seconds) for when the run step expired. A step is
-            #     considered expired if the parent run is expired.
+            #   considered expired if the parent run is expired.
             #
             #   @return [Integer, nil]
             required :expired_at, Integer, nil?: true
@@ -54,18 +54,18 @@ class RunStep < OpenAI::Internal::Type::BaseModel
 
             # @!attribute last_error
             #   The last error associated with this run step. Will be `null` if there are no
-            #     errors.
+            #   errors.
             #
             #   @return [OpenAI::Models::Beta::Threads::Runs::RunStep::LastError, nil]
             required :last_error, -> { OpenAI::Models::Beta::Threads::Runs::RunStep::LastError }, nil?: true
 
             # @!attribute metadata
             #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-            #     for storing additional information about the object in a structured format, and
-            #     querying for objects via API or the dashboard.
+            #   for storing additional information about the object in a structured format, and
+            #   querying for objects via API or the dashboard.
             #
-            #     Keys are strings with a maximum length of 64 characters. Values are strings with
-            #     a maximum length of 512 characters.
+            #   Keys are strings with a maximum length of 64 characters. Values are strings with
+            #   a maximum length of 512 characters.
             #
             #   @return [Hash{Symbol=>String}, nil]
             required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -78,14 +78,14 @@ class RunStep < OpenAI::Internal::Type::BaseModel
 
             # @!attribute run_id
             #   The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that
-            #     this run step is a part of.
+            #   this run step is a part of.
             #
             #   @return [String]
             required :run_id, String
 
             # @!attribute status
             #   The status of the run step, which can be either `in_progress`, `cancelled`,
-            #     `failed`, `completed`, or `expired`.
+            #   `failed`, `completed`, or `expired`.
             #
             #   @return [Symbol, OpenAI::Models::Beta::Threads::Runs::RunStep::Status]
             required :status, enum: -> { OpenAI::Models::Beta::Threads::Runs::RunStep::Status }
@@ -98,7 +98,7 @@ class RunStep < OpenAI::Internal::Type::BaseModel
 
             # @!attribute thread_id
             #   The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
-            #     that was run.
+            #   that was run.
             #
             #   @return [String]
             required :thread_id, String
@@ -111,7 +111,7 @@ class RunStep < OpenAI::Internal::Type::BaseModel
 
             # @!attribute usage
             #   Usage statistics related to the run step. This value will be `null` while the
-            #     run step's status is `in_progress`.
+            #   run step's status is `in_progress`.
             #
             #   @return [OpenAI::Models::Beta::Threads::Runs::RunStep::Usage, nil]
             required :usage, -> { OpenAI::Models::Beta::Threads::Runs::RunStep::Usage }, nil?: true
@@ -176,7 +176,7 @@ class LastError < OpenAI::Internal::Type::BaseModel
 
               # @!parse
               #   # The last error associated with this run step. Will be `null` if there are no
-              #   #   errors.
+              #   # errors.
               #   #
               #   # @param code [Symbol, OpenAI::Models::Beta::Threads::Runs::RunStep::LastError::Code]
               #   # @param message [String]
@@ -203,7 +203,7 @@ module Code
             end
 
             # The status of the run step, which can be either `in_progress`, `cancelled`,
-            #   `failed`, `completed`, or `expired`.
+            # `failed`, `completed`, or `expired`.
             #
             # @see OpenAI::Models::Beta::Threads::Runs::RunStep#status
             module Status
@@ -279,7 +279,7 @@ class Usage < OpenAI::Internal::Type::BaseModel
 
               # @!parse
               #   # Usage statistics related to the run step. This value will be `null` while the
-              #   #   run step's status is `in_progress`.
+              #   # run step's status is `in_progress`.
               #   #
               #   # @param completion_tokens [Integer]
               #   # @param prompt_tokens [Integer]
diff --git a/lib/openai/models/beta/threads/runs/run_step_delta_event.rb b/lib/openai/models/beta/threads/runs/run_step_delta_event.rb
index 027d0490..a71b9858 100644
--- a/lib/openai/models/beta/threads/runs/run_step_delta_event.rb
+++ b/lib/openai/models/beta/threads/runs/run_step_delta_event.rb
@@ -26,7 +26,7 @@ class RunStepDeltaEvent < OpenAI::Internal::Type::BaseModel
 
             # @!parse
             #   # Represents a run step delta i.e. any changed fields on a run step during
-            #   #   streaming.
+            #   # streaming.
             #   #
             #   # @param id [String]
             #   # @param delta [OpenAI::Models::Beta::Threads::Runs::RunStepDelta]
diff --git a/lib/openai/models/beta/threads/runs/step_list_params.rb b/lib/openai/models/beta/threads/runs/step_list_params.rb
index a7c48d03..1b281161 100644
--- a/lib/openai/models/beta/threads/runs/step_list_params.rb
+++ b/lib/openai/models/beta/threads/runs/step_list_params.rb
@@ -18,9 +18,9 @@ class StepListParams < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] after
             #   A cursor for use in pagination. `after` is an object ID that defines your place
-            #     in the list. For instance, if you make a list request and receive 100 objects,
-            #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-            #     fetch the next page of the list.
+            #   in the list. For instance, if you make a list request and receive 100 objects,
+            #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+            #   fetch the next page of the list.
             #
             #   @return [String, nil]
             optional :after, String
@@ -31,9 +31,9 @@ class StepListParams < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] before
             #   A cursor for use in pagination. `before` is an object ID that defines your place
-            #     in the list. For instance, if you make a list request and receive 100 objects,
-            #     starting with obj_foo, your subsequent call can include before=obj_foo in order
-            #     to fetch the previous page of the list.
+            #   in the list. For instance, if you make a list request and receive 100 objects,
+            #   starting with obj_foo, your subsequent call can include before=obj_foo in order
+            #   to fetch the previous page of the list.
             #
             #   @return [String, nil]
             optional :before, String
@@ -44,12 +44,12 @@ class StepListParams < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] include
             #   A list of additional fields to include in the response. Currently the only
-            #     supported value is `step_details.tool_calls[*].file_search.results[*].content`
-            #     to fetch the file search result content.
+            #   supported value is `step_details.tool_calls[*].file_search.results[*].content`
+            #   to fetch the file search result content.
             #
-            #     See the
-            #     [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-            #     for more information.
+            #   See the
+            #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+            #   for more information.
             #
             #   @return [Array<Symbol, OpenAI::Models::Beta::Threads::Runs::RunStepInclude>, nil]
             optional :include,
@@ -61,7 +61,7 @@ class StepListParams < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] limit
             #   A limit on the number of objects to be returned. Limit can range between 1 and
-            #     100, and the default is 20.
+            #   100, and the default is 20.
             #
             #   @return [Integer, nil]
             optional :limit, Integer
@@ -72,7 +72,7 @@ class StepListParams < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] order
             #   Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-            #     order and `desc` for descending order.
+            #   order and `desc` for descending order.
             #
             #   @return [Symbol, OpenAI::Models::Beta::Threads::Runs::StepListParams::Order, nil]
             optional :order, enum: -> { OpenAI::Models::Beta::Threads::Runs::StepListParams::Order }
@@ -95,7 +95,7 @@ class StepListParams < OpenAI::Internal::Type::BaseModel
             # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
             # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-            #   order and `desc` for descending order.
+            # order and `desc` for descending order.
             module Order
               extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/beta/threads/runs/step_retrieve_params.rb b/lib/openai/models/beta/threads/runs/step_retrieve_params.rb
index efbf4aaf..a02c8ce0 100644
--- a/lib/openai/models/beta/threads/runs/step_retrieve_params.rb
+++ b/lib/openai/models/beta/threads/runs/step_retrieve_params.rb
@@ -23,12 +23,12 @@ class StepRetrieveParams < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] include
             #   A list of additional fields to include in the response. Currently the only
-            #     supported value is `step_details.tool_calls[*].file_search.results[*].content`
-            #     to fetch the file search result content.
+            #   supported value is `step_details.tool_calls[*].file_search.results[*].content`
+            #   to fetch the file search result content.
             #
-            #     See the
-            #     [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-            #     for more information.
+            #   See the
+            #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+            #   for more information.
             #
             #   @return [Array<Symbol, OpenAI::Models::Beta::Threads::Runs::RunStepInclude>, nil]
             optional :include,
diff --git a/lib/openai/models/beta/threads/runs/tool_call_delta_object.rb b/lib/openai/models/beta/threads/runs/tool_call_delta_object.rb
index 7f61ee05..8c1394b6 100644
--- a/lib/openai/models/beta/threads/runs/tool_call_delta_object.rb
+++ b/lib/openai/models/beta/threads/runs/tool_call_delta_object.rb
@@ -14,8 +14,8 @@ class ToolCallDeltaObject < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] tool_calls
             #   An array of tool calls the run step was involved in. These can be associated
-            #     with one of three types of tools: `code_interpreter`, `file_search`, or
-            #     `function`.
+            #   with one of three types of tools: `code_interpreter`, `file_search`, or
+            #   `function`.
             #
             #   @return [Array<OpenAI::Models::Beta::Threads::Runs::CodeInterpreterToolCallDelta, OpenAI::Models::Beta::Threads::Runs::FileSearchToolCallDelta, OpenAI::Models::Beta::Threads::Runs::FunctionToolCallDelta>, nil]
             optional :tool_calls,
diff --git a/lib/openai/models/beta/threads/runs/tool_calls_step_details.rb b/lib/openai/models/beta/threads/runs/tool_calls_step_details.rb
index bd9aa901..1ac644f3 100644
--- a/lib/openai/models/beta/threads/runs/tool_calls_step_details.rb
+++ b/lib/openai/models/beta/threads/runs/tool_calls_step_details.rb
@@ -8,8 +8,8 @@ module Runs
           class ToolCallsStepDetails < OpenAI::Internal::Type::BaseModel
             # @!attribute tool_calls
             #   An array of tool calls the run step was involved in. These can be associated
-            #     with one of three types of tools: `code_interpreter`, `file_search`, or
-            #     `function`.
+            #   with one of three types of tools: `code_interpreter`, `file_search`, or
+            #   `function`.
             #
             #   @return [Array<OpenAI::Models::Beta::Threads::Runs::CodeInterpreterToolCall, OpenAI::Models::Beta::Threads::Runs::FileSearchToolCall, OpenAI::Models::Beta::Threads::Runs::FunctionToolCall>]
             required :tool_calls,
diff --git a/lib/openai/models/chat/chat_completion.rb b/lib/openai/models/chat/chat_completion.rb
index 0f9f79a6..97ee34db 100644
--- a/lib/openai/models/chat/chat_completion.rb
+++ b/lib/openai/models/chat/chat_completion.rb
@@ -15,7 +15,7 @@ class ChatCompletion < OpenAI::Internal::Type::BaseModel
 
         # @!attribute choices
         #   A list of chat completion choices. Can be more than one if `n` is greater
-        #     than 1.
+        #   than 1.
         #
         #   @return [Array<OpenAI::Models::Chat::ChatCompletion::Choice>]
         required :choices, -> { OpenAI::Internal::Type::ArrayOf[OpenAI::Models::Chat::ChatCompletion::Choice] }
@@ -47,8 +47,8 @@ class ChatCompletion < OpenAI::Internal::Type::BaseModel
         # @!attribute [r] system_fingerprint
         #   This fingerprint represents the backend configuration that the model runs with.
         #
-        #     Can be used in conjunction with the `seed` request parameter to understand when
-        #     backend changes have been made that might impact determinism.
+        #   Can be used in conjunction with the `seed` request parameter to understand when
+        #   backend changes have been made that might impact determinism.
         #
         #   @return [String, nil]
         optional :system_fingerprint, String
@@ -69,7 +69,7 @@ class ChatCompletion < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Represents a chat completion response returned by model, based on the provided
-        #   #   input.
+        #   # input.
         #   #
         #   # @param id [String]
         #   # @param choices [Array<OpenAI::Models::Chat::ChatCompletion::Choice>]
@@ -99,11 +99,11 @@ class ChatCompletion < OpenAI::Internal::Type::BaseModel
         class Choice < OpenAI::Internal::Type::BaseModel
           # @!attribute finish_reason
           #   The reason the model stopped generating tokens. This will be `stop` if the model
-          #     hit a natural stop point or a provided stop sequence, `length` if the maximum
-          #     number of tokens specified in the request was reached, `content_filter` if
-          #     content was omitted due to a flag from our content filters, `tool_calls` if the
-          #     model called a tool, or `function_call` (deprecated) if the model called a
-          #     function.
+          #   hit a natural stop point or a provided stop sequence, `length` if the maximum
+          #   number of tokens specified in the request was reached, `content_filter` if
+          #   content was omitted due to a flag from our content filters, `tool_calls` if the
+          #   model called a tool, or `function_call` (deprecated) if the model called a
+          #   function.
           #
           #   @return [Symbol, OpenAI::Models::Chat::ChatCompletion::Choice::FinishReason]
           required :finish_reason, enum: -> { OpenAI::Models::Chat::ChatCompletion::Choice::FinishReason }
@@ -137,11 +137,11 @@ class Choice < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # The reason the model stopped generating tokens. This will be `stop` if the model
-          #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-          #   number of tokens specified in the request was reached, `content_filter` if
-          #   content was omitted due to a flag from our content filters, `tool_calls` if the
-          #   model called a tool, or `function_call` (deprecated) if the model called a
-          #   function.
+          # hit a natural stop point or a provided stop sequence, `length` if the maximum
+          # number of tokens specified in the request was reached, `content_filter` if
+          # content was omitted due to a flag from our content filters, `tool_calls` if the
+          # model called a tool, or `function_call` (deprecated) if the model called a
+          # function.
           #
           # @see OpenAI::Models::Chat::ChatCompletion::Choice#finish_reason
           module FinishReason
diff --git a/lib/openai/models/chat/chat_completion_assistant_message_param.rb b/lib/openai/models/chat/chat_completion_assistant_message_param.rb
index 5ac2d838..992b3818 100644
--- a/lib/openai/models/chat/chat_completion_assistant_message_param.rb
+++ b/lib/openai/models/chat/chat_completion_assistant_message_param.rb
@@ -12,14 +12,14 @@ class ChatCompletionAssistantMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!attribute audio
         #   Data about a previous audio response from the model.
-        #     [Learn more](https://platform.openai.com/docs/guides/audio).
+        #   [Learn more](https://platform.openai.com/docs/guides/audio).
         #
         #   @return [OpenAI::Models::Chat::ChatCompletionAssistantMessageParam::Audio, nil]
         optional :audio, -> { OpenAI::Models::Chat::ChatCompletionAssistantMessageParam::Audio }, nil?: true
 
         # @!attribute content
         #   The contents of the assistant message. Required unless `tool_calls` or
-        #     `function_call` is specified.
+        #   `function_call` is specified.
         #
         #   @return [String, Array<OpenAI::Models::Chat::ChatCompletionContentPartText, OpenAI::Models::Chat::ChatCompletionContentPartRefusal>, nil]
         optional :content,
@@ -28,7 +28,7 @@ class ChatCompletionAssistantMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!attribute function_call
         #   Deprecated and replaced by `tool_calls`. The name and arguments of a function
-        #     that should be called, as generated by the model.
+        #   that should be called, as generated by the model.
         #
         #   @return [OpenAI::Models::Chat::ChatCompletionAssistantMessageParam::FunctionCall, nil]
         optional :function_call,
@@ -37,7 +37,7 @@ class ChatCompletionAssistantMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] name
         #   An optional name for the participant. Provides the model information to
-        #     differentiate between participants of the same role.
+        #   differentiate between participants of the same role.
         #
         #   @return [String, nil]
         optional :name, String
@@ -99,7 +99,7 @@ class Audio < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Data about a previous audio response from the model.
-          #   #   [Learn more](https://platform.openai.com/docs/guides/audio).
+          #   # [Learn more](https://platform.openai.com/docs/guides/audio).
           #   #
           #   # @param id [String]
           #   #
@@ -109,7 +109,7 @@ class Audio < OpenAI::Internal::Type::BaseModel
         end
 
         # The contents of the assistant message. Required unless `tool_calls` or
-        #   `function_call` is specified.
+        # `function_call` is specified.
         #
         # @see OpenAI::Models::Chat::ChatCompletionAssistantMessageParam#content
         module Content
@@ -122,7 +122,7 @@ module Content
           variant -> { OpenAI::Models::Chat::ChatCompletionAssistantMessageParam::Content::ArrayOfContentPartArray }
 
           # Learn about
-          #   [text inputs](https://platform.openai.com/docs/guides/text-generation).
+          # [text inputs](https://platform.openai.com/docs/guides/text-generation).
           module ArrayOfContentPart
             extend OpenAI::Internal::Type::Union
 
@@ -152,9 +152,9 @@ module ArrayOfContentPart
         class FunctionCall < OpenAI::Internal::Type::BaseModel
           # @!attribute arguments
           #   The arguments to call the function with, as generated by the model in JSON
-          #     format. Note that the model does not always generate valid JSON, and may
-          #     hallucinate parameters not defined by your function schema. Validate the
-          #     arguments in your code before calling your function.
+          #   format. Note that the model does not always generate valid JSON, and may
+          #   hallucinate parameters not defined by your function schema. Validate the
+          #   arguments in your code before calling your function.
           #
           #   @return [String]
           required :arguments, String
@@ -167,7 +167,7 @@ class FunctionCall < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-          #   #   that should be called, as generated by the model.
+          #   # that should be called, as generated by the model.
           #   #
           #   # @param arguments [String]
           #   # @param name [String]
diff --git a/lib/openai/models/chat/chat_completion_audio.rb b/lib/openai/models/chat/chat_completion_audio.rb
index e5c8bb97..238b8a6b 100644
--- a/lib/openai/models/chat/chat_completion_audio.rb
+++ b/lib/openai/models/chat/chat_completion_audio.rb
@@ -12,14 +12,14 @@ class ChatCompletionAudio < OpenAI::Internal::Type::BaseModel
 
         # @!attribute data
         #   Base64 encoded audio bytes generated by the model, in the format specified in
-        #     the request.
+        #   the request.
         #
         #   @return [String]
         required :data, String
 
         # @!attribute expires_at
         #   The Unix timestamp (in seconds) for when this audio response will no longer be
-        #     accessible on the server for use in multi-turn conversations.
+        #   accessible on the server for use in multi-turn conversations.
         #
         #   @return [Integer]
         required :expires_at, Integer
@@ -32,8 +32,8 @@ class ChatCompletionAudio < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # If the audio output modality is requested, this object contains data about the
-        #   #   audio response from the model.
-        #   #   [Learn more](https://platform.openai.com/docs/guides/audio).
+        #   # audio response from the model.
+        #   # [Learn more](https://platform.openai.com/docs/guides/audio).
         #   #
         #   # @param id [String]
         #   # @param data [String]
diff --git a/lib/openai/models/chat/chat_completion_audio_param.rb b/lib/openai/models/chat/chat_completion_audio_param.rb
index b1ede0ce..07ca649d 100644
--- a/lib/openai/models/chat/chat_completion_audio_param.rb
+++ b/lib/openai/models/chat/chat_completion_audio_param.rb
@@ -6,22 +6,22 @@ module Chat
       class ChatCompletionAudioParam < OpenAI::Internal::Type::BaseModel
         # @!attribute format_
         #   Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`,
-        #     or `pcm16`.
+        #   or `pcm16`.
         #
         #   @return [Symbol, OpenAI::Models::Chat::ChatCompletionAudioParam::Format]
         required :format_, enum: -> { OpenAI::Models::Chat::ChatCompletionAudioParam::Format }, api_name: :format
 
         # @!attribute voice
         #   The voice the model uses to respond. Supported voices are `alloy`, `ash`,
-        #     `ballad`, `coral`, `echo`, `sage`, and `shimmer`.
+        #   `ballad`, `coral`, `echo`, `sage`, and `shimmer`.
         #
         #   @return [String, Symbol, OpenAI::Models::Chat::ChatCompletionAudioParam::Voice]
         required :voice, union: -> { OpenAI::Models::Chat::ChatCompletionAudioParam::Voice }
 
         # @!parse
         #   # Parameters for audio output. Required when audio output is requested with
-        #   #   `modalities: ["audio"]`.
-        #   #   [Learn more](https://platform.openai.com/docs/guides/audio).
+        #   # `modalities: ["audio"]`.
+        #   # [Learn more](https://platform.openai.com/docs/guides/audio).
         #   #
         #   # @param format_ [Symbol, OpenAI::Models::Chat::ChatCompletionAudioParam::Format]
         #   # @param voice [String, Symbol, OpenAI::Models::Chat::ChatCompletionAudioParam::Voice]
@@ -31,7 +31,7 @@ class ChatCompletionAudioParam < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`,
-        #   or `pcm16`.
+        # or `pcm16`.
         #
         # @see OpenAI::Models::Chat::ChatCompletionAudioParam#format_
         module Format
@@ -51,7 +51,7 @@ module Format
         end
 
         # The voice the model uses to respond. Supported voices are `alloy`, `ash`,
-        #   `ballad`, `coral`, `echo`, `sage`, and `shimmer`.
+        # `ballad`, `coral`, `echo`, `sage`, and `shimmer`.
         #
         # @see OpenAI::Models::Chat::ChatCompletionAudioParam#voice
         module Voice
diff --git a/lib/openai/models/chat/chat_completion_chunk.rb b/lib/openai/models/chat/chat_completion_chunk.rb
index 5c693f05..b9c033b3 100644
--- a/lib/openai/models/chat/chat_completion_chunk.rb
+++ b/lib/openai/models/chat/chat_completion_chunk.rb
@@ -12,8 +12,8 @@ class ChatCompletionChunk < OpenAI::Internal::Type::BaseModel
 
         # @!attribute choices
         #   A list of chat completion choices. Can contain more than one elements if `n` is
-        #     greater than 1. Can also be empty for the last chunk if you set
-        #     `stream_options: {"include_usage": true}`.
+        #   greater than 1. Can also be empty for the last chunk if you set
+        #   `stream_options: {"include_usage": true}`.
         #
         #   @return [Array<OpenAI::Models::Chat::ChatCompletionChunk::Choice>]
         required :choices,
@@ -21,7 +21,7 @@ class ChatCompletionChunk < OpenAI::Internal::Type::BaseModel
 
         # @!attribute created
         #   The Unix timestamp (in seconds) of when the chat completion was created. Each
-        #     chunk has the same timestamp.
+        #   chunk has the same timestamp.
         #
         #   @return [Integer]
         required :created, Integer
@@ -46,8 +46,8 @@ class ChatCompletionChunk < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] system_fingerprint
         #   This fingerprint represents the backend configuration that the model runs with.
-        #     Can be used in conjunction with the `seed` request parameter to understand when
-        #     backend changes have been made that might impact determinism.
+        #   Can be used in conjunction with the `seed` request parameter to understand when
+        #   backend changes have been made that might impact determinism.
         #
         #   @return [String, nil]
         optional :system_fingerprint, String
@@ -58,20 +58,20 @@ class ChatCompletionChunk < OpenAI::Internal::Type::BaseModel
 
         # @!attribute usage
         #   An optional field that will only be present when you set
-        #     `stream_options: {"include_usage": true}` in your request. When present, it
-        #     contains a null value **except for the last chunk** which contains the token
-        #     usage statistics for the entire request.
+        #   `stream_options: {"include_usage": true}` in your request. When present, it
+        #   contains a null value **except for the last chunk** which contains the token
+        #   usage statistics for the entire request.
         #
-        #     **NOTE:** If the stream is interrupted or cancelled, you may not receive the
-        #     final usage chunk which contains the total token usage for the request.
+        #   **NOTE:** If the stream is interrupted or cancelled, you may not receive the
+        #   final usage chunk which contains the total token usage for the request.
         #
         #   @return [OpenAI::Models::CompletionUsage, nil]
         optional :usage, -> { OpenAI::Models::CompletionUsage }, nil?: true
 
         # @!parse
         #   # Represents a streamed chunk of a chat completion response returned by the model,
-        #   #   based on the provided input.
-        #   #   [Learn more](https://platform.openai.com/docs/guides/streaming-responses).
+        #   # based on the provided input.
+        #   # [Learn more](https://platform.openai.com/docs/guides/streaming-responses).
         #   #
         #   # @param id [String]
         #   # @param choices [Array<OpenAI::Models::Chat::ChatCompletionChunk::Choice>]
@@ -107,11 +107,11 @@ class Choice < OpenAI::Internal::Type::BaseModel
 
           # @!attribute finish_reason
           #   The reason the model stopped generating tokens. This will be `stop` if the model
-          #     hit a natural stop point or a provided stop sequence, `length` if the maximum
-          #     number of tokens specified in the request was reached, `content_filter` if
-          #     content was omitted due to a flag from our content filters, `tool_calls` if the
-          #     model called a tool, or `function_call` (deprecated) if the model called a
-          #     function.
+          #   hit a natural stop point or a provided stop sequence, `length` if the maximum
+          #   number of tokens specified in the request was reached, `content_filter` if
+          #   content was omitted due to a flag from our content filters, `tool_calls` if the
+          #   model called a tool, or `function_call` (deprecated) if the model called a
+          #   function.
           #
           #   @return [Symbol, OpenAI::Models::Chat::ChatCompletionChunk::Choice::FinishReason, nil]
           required :finish_reason,
@@ -150,7 +150,7 @@ class Delta < OpenAI::Internal::Type::BaseModel
 
             # @!attribute [r] function_call
             #   Deprecated and replaced by `tool_calls`. The name and arguments of a function
-            #     that should be called, as generated by the model.
+            #   that should be called, as generated by the model.
             #
             #   @return [OpenAI::Models::Chat::ChatCompletionChunk::Choice::Delta::FunctionCall, nil]
             optional :function_call, -> { OpenAI::Models::Chat::ChatCompletionChunk::Choice::Delta::FunctionCall }
@@ -204,9 +204,9 @@ class Delta < OpenAI::Internal::Type::BaseModel
             class FunctionCall < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] arguments
               #   The arguments to call the function with, as generated by the model in JSON
-              #     format. Note that the model does not always generate valid JSON, and may
-              #     hallucinate parameters not defined by your function schema. Validate the
-              #     arguments in your code before calling your function.
+              #   format. Note that the model does not always generate valid JSON, and may
+              #   hallucinate parameters not defined by your function schema. Validate the
+              #   arguments in your code before calling your function.
               #
               #   @return [String, nil]
               optional :arguments, String
@@ -227,7 +227,7 @@ class FunctionCall < OpenAI::Internal::Type::BaseModel
 
               # @!parse
               #   # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-              #   #   that should be called, as generated by the model.
+              #   # that should be called, as generated by the model.
               #   #
               #   # @param arguments [String]
               #   # @param name [String]
@@ -305,9 +305,9 @@ class ToolCall < OpenAI::Internal::Type::BaseModel
               class Function < OpenAI::Internal::Type::BaseModel
                 # @!attribute [r] arguments
                 #   The arguments to call the function with, as generated by the model in JSON
-                #     format. Note that the model does not always generate valid JSON, and may
-                #     hallucinate parameters not defined by your function schema. Validate the
-                #     arguments in your code before calling your function.
+                #   format. Note that the model does not always generate valid JSON, and may
+                #   hallucinate parameters not defined by your function schema. Validate the
+                #   arguments in your code before calling your function.
                 #
                 #   @return [String, nil]
                 optional :arguments, String
@@ -353,11 +353,11 @@ module Type
           end
 
           # The reason the model stopped generating tokens. This will be `stop` if the model
-          #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-          #   number of tokens specified in the request was reached, `content_filter` if
-          #   content was omitted due to a flag from our content filters, `tool_calls` if the
-          #   model called a tool, or `function_call` (deprecated) if the model called a
-          #   function.
+          # hit a natural stop point or a provided stop sequence, `length` if the maximum
+          # number of tokens specified in the request was reached, `content_filter` if
+          # content was omitted due to a flag from our content filters, `tool_calls` if the
+          # model called a tool, or `function_call` (deprecated) if the model called a
+          # function.
           #
           # @see OpenAI::Models::Chat::ChatCompletionChunk::Choice#finish_reason
           module FinishReason
diff --git a/lib/openai/models/chat/chat_completion_content_part.rb b/lib/openai/models/chat/chat_completion_content_part.rb
index 30da9605..31635ff4 100644
--- a/lib/openai/models/chat/chat_completion_content_part.rb
+++ b/lib/openai/models/chat/chat_completion_content_part.rb
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     module Chat
       # Learn about
-      #   [text inputs](https://platform.openai.com/docs/guides/text-generation).
+      # [text inputs](https://platform.openai.com/docs/guides/text-generation).
       module ChatCompletionContentPart
         extend OpenAI::Internal::Type::Union
 
@@ -36,7 +36,7 @@ class File < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Learn about [file inputs](https://platform.openai.com/docs/guides/text) for text
-          #   #   generation.
+          #   # generation.
           #   #
           #   # @param file [OpenAI::Models::Chat::ChatCompletionContentPart::File::File]
           #   # @param type [Symbol, :file]
@@ -49,7 +49,7 @@ class File < OpenAI::Internal::Type::BaseModel
           class File < OpenAI::Internal::Type::BaseModel
             # @!attribute [r] file_data
             #   The base64 encoded file data, used when passing the file to the model as a
-            #     string.
+            #   string.
             #
             #   @return [String, nil]
             optional :file_data, String
diff --git a/lib/openai/models/chat/chat_completion_content_part_image.rb b/lib/openai/models/chat/chat_completion_content_part_image.rb
index 04a9152b..a22c144e 100644
--- a/lib/openai/models/chat/chat_completion_content_part_image.rb
+++ b/lib/openai/models/chat/chat_completion_content_part_image.rb
@@ -35,7 +35,7 @@ class ImageURL < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] detail
           #   Specifies the detail level of the image. Learn more in the
-          #     [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
+          #   [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
           #
           #   @return [Symbol, OpenAI::Models::Chat::ChatCompletionContentPartImage::ImageURL::Detail, nil]
           optional :detail, enum: -> { OpenAI::Models::Chat::ChatCompletionContentPartImage::ImageURL::Detail }
@@ -53,7 +53,7 @@ class ImageURL < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Specifies the detail level of the image. Learn more in the
-          #   [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
+          # [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
           #
           # @see OpenAI::Models::Chat::ChatCompletionContentPartImage::ImageURL#detail
           module Detail
diff --git a/lib/openai/models/chat/chat_completion_content_part_text.rb b/lib/openai/models/chat/chat_completion_content_part_text.rb
index e286368a..e1975859 100644
--- a/lib/openai/models/chat/chat_completion_content_part_text.rb
+++ b/lib/openai/models/chat/chat_completion_content_part_text.rb
@@ -18,7 +18,7 @@ class ChatCompletionContentPartText < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Learn about
-        #   #   [text inputs](https://platform.openai.com/docs/guides/text-generation).
+        #   # [text inputs](https://platform.openai.com/docs/guides/text-generation).
         #   #
         #   # @param text [String]
         #   # @param type [Symbol, :text]
diff --git a/lib/openai/models/chat/chat_completion_developer_message_param.rb b/lib/openai/models/chat/chat_completion_developer_message_param.rb
index 1fe2ecc1..ecd1e5bd 100644
--- a/lib/openai/models/chat/chat_completion_developer_message_param.rb
+++ b/lib/openai/models/chat/chat_completion_developer_message_param.rb
@@ -18,7 +18,7 @@ class ChatCompletionDeveloperMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] name
         #   An optional name for the participant. Provides the model information to
-        #     differentiate between participants of the same role.
+        #   differentiate between participants of the same role.
         #
         #   @return [String, nil]
         optional :name, String
@@ -29,8 +29,8 @@ class ChatCompletionDeveloperMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Developer-provided instructions that the model should follow, regardless of
-        #   #   messages sent by the user. With o1 models and newer, `developer` messages
-        #   #   replace the previous `system` messages.
+        #   # messages sent by the user. With o1 models and newer, `developer` messages
+        #   # replace the previous `system` messages.
         #   #
         #   # @param content [String, Array<OpenAI::Models::Chat::ChatCompletionContentPartText>]
         #   # @param name [String]
diff --git a/lib/openai/models/chat/chat_completion_function_call_option.rb b/lib/openai/models/chat/chat_completion_function_call_option.rb
index 9434599e..3ae8526b 100644
--- a/lib/openai/models/chat/chat_completion_function_call_option.rb
+++ b/lib/openai/models/chat/chat_completion_function_call_option.rb
@@ -12,7 +12,7 @@ class ChatCompletionFunctionCallOption < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Specifying a particular function via `{"name": "my_function"}` forces the model
-        #   #   to call that function.
+        #   # to call that function.
         #   #
         #   # @param name [String]
         #   #
diff --git a/lib/openai/models/chat/chat_completion_message.rb b/lib/openai/models/chat/chat_completion_message.rb
index 9b1828e2..b36682ef 100644
--- a/lib/openai/models/chat/chat_completion_message.rb
+++ b/lib/openai/models/chat/chat_completion_message.rb
@@ -24,7 +24,7 @@ class ChatCompletionMessage < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] annotations
         #   Annotations for the message, when applicable, as when using the
-        #     [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+        #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
         #
         #   @return [Array<OpenAI::Models::Chat::ChatCompletionMessage::Annotation>, nil]
         optional :annotations,
@@ -36,15 +36,15 @@ class ChatCompletionMessage < OpenAI::Internal::Type::BaseModel
 
         # @!attribute audio
         #   If the audio output modality is requested, this object contains data about the
-        #     audio response from the model.
-        #     [Learn more](https://platform.openai.com/docs/guides/audio).
+        #   audio response from the model.
+        #   [Learn more](https://platform.openai.com/docs/guides/audio).
         #
         #   @return [OpenAI::Models::Chat::ChatCompletionAudio, nil]
         optional :audio, -> { OpenAI::Models::Chat::ChatCompletionAudio }, nil?: true
 
         # @!attribute [r] function_call
         #   Deprecated and replaced by `tool_calls`. The name and arguments of a function
-        #     that should be called, as generated by the model.
+        #   that should be called, as generated by the model.
         #
         #   @return [OpenAI::Models::Chat::ChatCompletionMessage::FunctionCall, nil]
         optional :function_call, -> { OpenAI::Models::Chat::ChatCompletionMessage::FunctionCall }
@@ -159,9 +159,9 @@ class URLCitation < OpenAI::Internal::Type::BaseModel
         class FunctionCall < OpenAI::Internal::Type::BaseModel
           # @!attribute arguments
           #   The arguments to call the function with, as generated by the model in JSON
-          #     format. Note that the model does not always generate valid JSON, and may
-          #     hallucinate parameters not defined by your function schema. Validate the
-          #     arguments in your code before calling your function.
+          #   format. Note that the model does not always generate valid JSON, and may
+          #   hallucinate parameters not defined by your function schema. Validate the
+          #   arguments in your code before calling your function.
           #
           #   @return [String]
           required :arguments, String
@@ -174,7 +174,7 @@ class FunctionCall < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-          #   #   that should be called, as generated by the model.
+          #   # that should be called, as generated by the model.
           #   #
           #   # @param arguments [String]
           #   # @param name [String]
diff --git a/lib/openai/models/chat/chat_completion_message_param.rb b/lib/openai/models/chat/chat_completion_message_param.rb
index 6796ea10..ed72d515 100644
--- a/lib/openai/models/chat/chat_completion_message_param.rb
+++ b/lib/openai/models/chat/chat_completion_message_param.rb
@@ -4,8 +4,8 @@ module OpenAI
   module Models
     module Chat
       # Developer-provided instructions that the model should follow, regardless of
-      #   messages sent by the user. With o1 models and newer, `developer` messages
-      #   replace the previous `system` messages.
+      # messages sent by the user. With o1 models and newer, `developer` messages
+      # replace the previous `system` messages.
       module ChatCompletionMessageParam
         extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/chat/chat_completion_message_tool_call.rb b/lib/openai/models/chat/chat_completion_message_tool_call.rb
index 508bc7ca..cca6cc4e 100644
--- a/lib/openai/models/chat/chat_completion_message_tool_call.rb
+++ b/lib/openai/models/chat/chat_completion_message_tool_call.rb
@@ -35,9 +35,9 @@ class ChatCompletionMessageToolCall < OpenAI::Internal::Type::BaseModel
         class Function < OpenAI::Internal::Type::BaseModel
           # @!attribute arguments
           #   The arguments to call the function with, as generated by the model in JSON
-          #     format. Note that the model does not always generate valid JSON, and may
-          #     hallucinate parameters not defined by your function schema. Validate the
-          #     arguments in your code before calling your function.
+          #   format. Note that the model does not always generate valid JSON, and may
+          #   hallucinate parameters not defined by your function schema. Validate the
+          #   arguments in your code before calling your function.
           #
           #   @return [String]
           required :arguments, String
diff --git a/lib/openai/models/chat/chat_completion_named_tool_choice.rb b/lib/openai/models/chat/chat_completion_named_tool_choice.rb
index 9058c083..c887906f 100644
--- a/lib/openai/models/chat/chat_completion_named_tool_choice.rb
+++ b/lib/openai/models/chat/chat_completion_named_tool_choice.rb
@@ -17,7 +17,7 @@ class ChatCompletionNamedToolChoice < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Specifies a tool the model should use. Use to force the model to call a specific
-        #   #   function.
+        #   # function.
         #   #
         #   # @param function [OpenAI::Models::Chat::ChatCompletionNamedToolChoice::Function]
         #   # @param type [Symbol, :function]
diff --git a/lib/openai/models/chat/chat_completion_prediction_content.rb b/lib/openai/models/chat/chat_completion_prediction_content.rb
index dd3150fd..0cc7df62 100644
--- a/lib/openai/models/chat/chat_completion_prediction_content.rb
+++ b/lib/openai/models/chat/chat_completion_prediction_content.rb
@@ -6,22 +6,22 @@ module Chat
       class ChatCompletionPredictionContent < OpenAI::Internal::Type::BaseModel
         # @!attribute content
         #   The content that should be matched when generating a model response. If
-        #     generated tokens would match this content, the entire model response can be
-        #     returned much more quickly.
+        #   generated tokens would match this content, the entire model response can be
+        #   returned much more quickly.
         #
         #   @return [String, Array<OpenAI::Models::Chat::ChatCompletionContentPartText>]
         required :content, union: -> { OpenAI::Models::Chat::ChatCompletionPredictionContent::Content }
 
         # @!attribute type
         #   The type of the predicted content you want to provide. This type is currently
-        #     always `content`.
+        #   always `content`.
         #
         #   @return [Symbol, :content]
         required :type, const: :content
 
         # @!parse
         #   # Static predicted output content, such as the content of a text file that is
-        #   #   being regenerated.
+        #   # being regenerated.
         #   #
         #   # @param content [String, Array<OpenAI::Models::Chat::ChatCompletionContentPartText>]
         #   # @param type [Symbol, :content]
@@ -31,8 +31,8 @@ class ChatCompletionPredictionContent < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # The content that should be matched when generating a model response. If
-        #   generated tokens would match this content, the entire model response can be
-        #   returned much more quickly.
+        # generated tokens would match this content, the entire model response can be
+        # returned much more quickly.
         #
         # @see OpenAI::Models::Chat::ChatCompletionPredictionContent#content
         module Content
diff --git a/lib/openai/models/chat/chat_completion_stream_options.rb b/lib/openai/models/chat/chat_completion_stream_options.rb
index 7b23b7a2..cb29b9a6 100644
--- a/lib/openai/models/chat/chat_completion_stream_options.rb
+++ b/lib/openai/models/chat/chat_completion_stream_options.rb
@@ -6,12 +6,12 @@ module Chat
       class ChatCompletionStreamOptions < OpenAI::Internal::Type::BaseModel
         # @!attribute [r] include_usage
         #   If set, an additional chunk will be streamed before the `data: [DONE]` message.
-        #     The `usage` field on this chunk shows the token usage statistics for the entire
-        #     request, and the `choices` field will always be an empty array.
+        #   The `usage` field on this chunk shows the token usage statistics for the entire
+        #   request, and the `choices` field will always be an empty array.
         #
-        #     All other chunks will also include a `usage` field, but with a null value.
-        #     **NOTE:** If the stream is interrupted, you may not receive the final usage
-        #     chunk which contains the total token usage for the request.
+        #   All other chunks will also include a `usage` field, but with a null value.
+        #   **NOTE:** If the stream is interrupted, you may not receive the final usage
+        #   chunk which contains the total token usage for the request.
         #
         #   @return [Boolean, nil]
         optional :include_usage, OpenAI::Internal::Type::Boolean
diff --git a/lib/openai/models/chat/chat_completion_system_message_param.rb b/lib/openai/models/chat/chat_completion_system_message_param.rb
index d1d9b2f7..44d1d207 100644
--- a/lib/openai/models/chat/chat_completion_system_message_param.rb
+++ b/lib/openai/models/chat/chat_completion_system_message_param.rb
@@ -18,7 +18,7 @@ class ChatCompletionSystemMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] name
         #   An optional name for the participant. Provides the model information to
-        #     differentiate between participants of the same role.
+        #   differentiate between participants of the same role.
         #
         #   @return [String, nil]
         optional :name, String
@@ -29,8 +29,8 @@ class ChatCompletionSystemMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Developer-provided instructions that the model should follow, regardless of
-        #   #   messages sent by the user. With o1 models and newer, use `developer` messages
-        #   #   for this purpose instead.
+        #   # messages sent by the user. With o1 models and newer, use `developer` messages
+        #   # for this purpose instead.
         #   #
         #   # @param content [String, Array<OpenAI::Models::Chat::ChatCompletionContentPartText>]
         #   # @param name [String]
diff --git a/lib/openai/models/chat/chat_completion_token_logprob.rb b/lib/openai/models/chat/chat_completion_token_logprob.rb
index 8b6d0019..a9f0bc0d 100644
--- a/lib/openai/models/chat/chat_completion_token_logprob.rb
+++ b/lib/openai/models/chat/chat_completion_token_logprob.rb
@@ -12,25 +12,25 @@ class ChatCompletionTokenLogprob < OpenAI::Internal::Type::BaseModel
 
         # @!attribute bytes
         #   A list of integers representing the UTF-8 bytes representation of the token.
-        #     Useful in instances where characters are represented by multiple tokens and
-        #     their byte representations must be combined to generate the correct text
-        #     representation. Can be `null` if there is no bytes representation for the token.
+        #   Useful in instances where characters are represented by multiple tokens and
+        #   their byte representations must be combined to generate the correct text
+        #   representation. Can be `null` if there is no bytes representation for the token.
         #
         #   @return [Array<Integer>, nil]
         required :bytes, OpenAI::Internal::Type::ArrayOf[Integer], nil?: true
 
         # @!attribute logprob
         #   The log probability of this token, if it is within the top 20 most likely
-        #     tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
-        #     unlikely.
+        #   tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
+        #   unlikely.
         #
         #   @return [Float]
         required :logprob, Float
 
         # @!attribute top_logprobs
         #   List of the most likely tokens and their log probability, at this token
-        #     position. In rare cases, there may be fewer than the number of requested
-        #     `top_logprobs` returned.
+        #   position. In rare cases, there may be fewer than the number of requested
+        #   `top_logprobs` returned.
         #
         #   @return [Array<OpenAI::Models::Chat::ChatCompletionTokenLogprob::TopLogprob>]
         required :top_logprobs,
@@ -55,17 +55,17 @@ class TopLogprob < OpenAI::Internal::Type::BaseModel
 
           # @!attribute bytes
           #   A list of integers representing the UTF-8 bytes representation of the token.
-          #     Useful in instances where characters are represented by multiple tokens and
-          #     their byte representations must be combined to generate the correct text
-          #     representation. Can be `null` if there is no bytes representation for the token.
+          #   Useful in instances where characters are represented by multiple tokens and
+          #   their byte representations must be combined to generate the correct text
+          #   representation. Can be `null` if there is no bytes representation for the token.
           #
           #   @return [Array<Integer>, nil]
           required :bytes, OpenAI::Internal::Type::ArrayOf[Integer], nil?: true
 
           # @!attribute logprob
           #   The log probability of this token, if it is within the top 20 most likely
-          #     tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
-          #     unlikely.
+          #   tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
+          #   unlikely.
           #
           #   @return [Float]
           required :logprob, Float
diff --git a/lib/openai/models/chat/chat_completion_tool_choice_option.rb b/lib/openai/models/chat/chat_completion_tool_choice_option.rb
index bb04bbc8..c57aaf23 100644
--- a/lib/openai/models/chat/chat_completion_tool_choice_option.rb
+++ b/lib/openai/models/chat/chat_completion_tool_choice_option.rb
@@ -4,14 +4,14 @@ module OpenAI
   module Models
     module Chat
       # Controls which (if any) tool is called by the model. `none` means the model will
-      #   not call any tool and instead generates a message. `auto` means the model can
-      #   pick between generating a message or calling one or more tools. `required` means
-      #   the model must call one or more tools. Specifying a particular tool via
-      #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-      #   call that tool.
+      # not call any tool and instead generates a message. `auto` means the model can
+      # pick between generating a message or calling one or more tools. `required` means
+      # the model must call one or more tools. Specifying a particular tool via
+      # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+      # call that tool.
       #
-      #   `none` is the default when no tools are present. `auto` is the default if tools
-      #   are present.
+      # `none` is the default when no tools are present. `auto` is the default if tools
+      # are present.
       module ChatCompletionToolChoiceOption
         extend OpenAI::Internal::Type::Union
 
@@ -22,8 +22,8 @@ module ChatCompletionToolChoiceOption
         variant -> { OpenAI::Models::Chat::ChatCompletionNamedToolChoice }
 
         # `none` means the model will not call any tool and instead generates a message.
-        #   `auto` means the model can pick between generating a message or calling one or
-        #   more tools. `required` means the model must call one or more tools.
+        # `auto` means the model can pick between generating a message or calling one or
+        # more tools. `required` means the model must call one or more tools.
         module Auto
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/chat/chat_completion_user_message_param.rb b/lib/openai/models/chat/chat_completion_user_message_param.rb
index ba2c2dbe..6cf8585a 100644
--- a/lib/openai/models/chat/chat_completion_user_message_param.rb
+++ b/lib/openai/models/chat/chat_completion_user_message_param.rb
@@ -18,7 +18,7 @@ class ChatCompletionUserMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] name
         #   An optional name for the participant. Provides the model information to
-        #     differentiate between participants of the same role.
+        #   differentiate between participants of the same role.
         #
         #   @return [String, nil]
         optional :name, String
@@ -29,7 +29,7 @@ class ChatCompletionUserMessageParam < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Messages sent by an end user, containing prompts or additional context
-        #   #   information.
+        #   # information.
         #   #
         #   # @param content [String, Array<OpenAI::Models::Chat::ChatCompletionContentPartText, OpenAI::Models::Chat::ChatCompletionContentPartImage, OpenAI::Models::Chat::ChatCompletionContentPartInputAudio, OpenAI::Models::Chat::ChatCompletionContentPart::File>]
         #   # @param name [String]
diff --git a/lib/openai/models/chat/completion_create_params.rb b/lib/openai/models/chat/completion_create_params.rb
index e8aed051..65406125 100644
--- a/lib/openai/models/chat/completion_create_params.rb
+++ b/lib/openai/models/chat/completion_create_params.rb
@@ -13,11 +13,11 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute messages
         #   A list of messages comprising the conversation so far. Depending on the
-        #     [model](https://platform.openai.com/docs/models) you use, different message
-        #     types (modalities) are supported, like
-        #     [text](https://platform.openai.com/docs/guides/text-generation),
-        #     [images](https://platform.openai.com/docs/guides/vision), and
-        #     [audio](https://platform.openai.com/docs/guides/audio).
+        #   [model](https://platform.openai.com/docs/models) you use, different message
+        #   types (modalities) are supported, like
+        #   [text](https://platform.openai.com/docs/guides/text-generation),
+        #   [images](https://platform.openai.com/docs/guides/vision), and
+        #   [audio](https://platform.openai.com/docs/guides/audio).
         #
         #   @return [Array<OpenAI::Models::Chat::ChatCompletionDeveloperMessageParam, OpenAI::Models::Chat::ChatCompletionSystemMessageParam, OpenAI::Models::Chat::ChatCompletionUserMessageParam, OpenAI::Models::Chat::ChatCompletionAssistantMessageParam, OpenAI::Models::Chat::ChatCompletionToolMessageParam, OpenAI::Models::Chat::ChatCompletionFunctionMessageParam>]
         required :messages,
@@ -25,26 +25,26 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute model
         #   Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #     wide range of models with different capabilities, performance characteristics,
-        #     and price points. Refer to the
-        #     [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #     available models.
+        #   wide range of models with different capabilities, performance characteristics,
+        #   and price points. Refer to the
+        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
+        #   available models.
         #
         #   @return [String, Symbol, OpenAI::Models::ChatModel]
         required :model, union: -> { OpenAI::Models::Chat::CompletionCreateParams::Model }
 
         # @!attribute audio
         #   Parameters for audio output. Required when audio output is requested with
-        #     `modalities: ["audio"]`.
-        #     [Learn more](https://platform.openai.com/docs/guides/audio).
+        #   `modalities: ["audio"]`.
+        #   [Learn more](https://platform.openai.com/docs/guides/audio).
         #
         #   @return [OpenAI::Models::Chat::ChatCompletionAudioParam, nil]
         optional :audio, -> { OpenAI::Models::Chat::ChatCompletionAudioParam }, nil?: true
 
         # @!attribute frequency_penalty
         #   Number between -2.0 and 2.0. Positive values penalize new tokens based on their
-        #     existing frequency in the text so far, decreasing the model's likelihood to
-        #     repeat the same line verbatim.
+        #   existing frequency in the text so far, decreasing the model's likelihood to
+        #   repeat the same line verbatim.
         #
         #   @return [Float, nil]
         optional :frequency_penalty, Float, nil?: true
@@ -52,18 +52,18 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute [r] function_call
         #   Deprecated in favor of `tool_choice`.
         #
-        #     Controls which (if any) function is called by the model.
+        #   Controls which (if any) function is called by the model.
         #
-        #     `none` means the model will not call a function and instead generates a message.
+        #   `none` means the model will not call a function and instead generates a message.
         #
-        #     `auto` means the model can pick between generating a message or calling a
-        #     function.
+        #   `auto` means the model can pick between generating a message or calling a
+        #   function.
         #
-        #     Specifying a particular function via `{"name": "my_function"}` forces the model
-        #     to call that function.
+        #   Specifying a particular function via `{"name": "my_function"}` forces the model
+        #   to call that function.
         #
-        #     `none` is the default when no functions are present. `auto` is the default if
-        #     functions are present.
+        #   `none` is the default when no functions are present. `auto` is the default if
+        #   functions are present.
         #
         #   @return [Symbol, OpenAI::Models::Chat::CompletionCreateParams::FunctionCall::FunctionCallMode, OpenAI::Models::Chat::ChatCompletionFunctionCallOption, nil]
         optional :function_call, union: -> { OpenAI::Models::Chat::CompletionCreateParams::FunctionCall }
@@ -75,7 +75,7 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute [r] functions
         #   Deprecated in favor of `tools`.
         #
-        #     A list of functions the model may generate JSON inputs for.
+        #   A list of functions the model may generate JSON inputs for.
         #
         #   @return [Array<OpenAI::Models::Chat::CompletionCreateParams::Function>, nil]
         optional :functions,
@@ -88,66 +88,66 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute logit_bias
         #   Modify the likelihood of specified tokens appearing in the completion.
         #
-        #     Accepts a JSON object that maps tokens (specified by their token ID in the
-        #     tokenizer) to an associated bias value from -100 to 100. Mathematically, the
-        #     bias is added to the logits generated by the model prior to sampling. The exact
-        #     effect will vary per model, but values between -1 and 1 should decrease or
-        #     increase likelihood of selection; values like -100 or 100 should result in a ban
-        #     or exclusive selection of the relevant token.
+        #   Accepts a JSON object that maps tokens (specified by their token ID in the
+        #   tokenizer) to an associated bias value from -100 to 100. Mathematically, the
+        #   bias is added to the logits generated by the model prior to sampling. The exact
+        #   effect will vary per model, but values between -1 and 1 should decrease or
+        #   increase likelihood of selection; values like -100 or 100 should result in a ban
+        #   or exclusive selection of the relevant token.
         #
         #   @return [Hash{Symbol=>Integer}, nil]
         optional :logit_bias, OpenAI::Internal::Type::HashOf[Integer], nil?: true
 
         # @!attribute logprobs
         #   Whether to return log probabilities of the output tokens or not. If true,
-        #     returns the log probabilities of each output token returned in the `content` of
-        #     `message`.
+        #   returns the log probabilities of each output token returned in the `content` of
+        #   `message`.
         #
         #   @return [Boolean, nil]
         optional :logprobs, OpenAI::Internal::Type::Boolean, nil?: true
 
         # @!attribute max_completion_tokens
         #   An upper bound for the number of tokens that can be generated for a completion,
-        #     including visible output tokens and
-        #     [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+        #   including visible output tokens and
+        #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
         #
         #   @return [Integer, nil]
         optional :max_completion_tokens, Integer, nil?: true
 
         # @!attribute max_tokens
         #   The maximum number of [tokens](/tokenizer) that can be generated in the chat
-        #     completion. This value can be used to control
-        #     [costs](https://openai.com/api/pricing/) for text generated via API.
+        #   completion. This value can be used to control
+        #   [costs](https://openai.com/api/pricing/) for text generated via API.
         #
-        #     This value is now deprecated in favor of `max_completion_tokens`, and is not
-        #     compatible with
-        #     [o1 series models](https://platform.openai.com/docs/guides/reasoning).
+        #   This value is now deprecated in favor of `max_completion_tokens`, and is not
+        #   compatible with
+        #   [o1 series models](https://platform.openai.com/docs/guides/reasoning).
         #
         #   @return [Integer, nil]
         optional :max_tokens, Integer, nil?: true
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
         # @!attribute modalities
         #   Output types that you would like the model to generate. Most models are capable
-        #     of generating text, which is the default:
+        #   of generating text, which is the default:
         #
-        #     `["text"]`
+        #   `["text"]`
         #
-        #     The `gpt-4o-audio-preview` model can also be used to
-        #     [generate audio](https://platform.openai.com/docs/guides/audio). To request that
-        #     this model generate both text and audio responses, you can use:
+        #   The `gpt-4o-audio-preview` model can also be used to
+        #   [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+        #   this model generate both text and audio responses, you can use:
         #
-        #     `["text", "audio"]`
+        #   `["text", "audio"]`
         #
         #   @return [Array<Symbol, OpenAI::Models::Chat::CompletionCreateParams::Modality>, nil]
         optional :modalities,
@@ -156,16 +156,16 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute n
         #   How many chat completion choices to generate for each input message. Note that
-        #     you will be charged based on the number of generated tokens across all of the
-        #     choices. Keep `n` as `1` to minimize costs.
+        #   you will be charged based on the number of generated tokens across all of the
+        #   choices. Keep `n` as `1` to minimize costs.
         #
         #   @return [Integer, nil]
         optional :n, Integer, nil?: true
 
         # @!attribute [r] parallel_tool_calls
         #   Whether to enable
-        #     [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-        #     during tool use.
+        #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+        #   during tool use.
         #
         #   @return [Boolean, nil]
         optional :parallel_tool_calls, OpenAI::Internal::Type::Boolean
@@ -176,15 +176,15 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute prediction
         #   Static predicted output content, such as the content of a text file that is
-        #     being regenerated.
+        #   being regenerated.
         #
         #   @return [OpenAI::Models::Chat::ChatCompletionPredictionContent, nil]
         optional :prediction, -> { OpenAI::Models::Chat::ChatCompletionPredictionContent }, nil?: true
 
         # @!attribute presence_penalty
         #   Number between -2.0 and 2.0. Positive values penalize new tokens based on
-        #     whether they appear in the text so far, increasing the model's likelihood to
-        #     talk about new topics.
+        #   whether they appear in the text so far, increasing the model's likelihood to
+        #   talk about new topics.
         #
         #   @return [Float, nil]
         optional :presence_penalty, Float, nil?: true
@@ -192,10 +192,10 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute reasoning_effort
         #   **o-series models only**
         #
-        #     Constrains effort on reasoning for
-        #     [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-        #     supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-        #     result in faster responses and fewer tokens used on reasoning in a response.
+        #   Constrains effort on reasoning for
+        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+        #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+        #   result in faster responses and fewer tokens used on reasoning in a response.
         #
         #   @return [Symbol, OpenAI::Models::ReasoningEffort, nil]
         optional :reasoning_effort, enum: -> { OpenAI::Models::ReasoningEffort }, nil?: true
@@ -203,14 +203,14 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute [r] response_format
         #   An object specifying the format that the model must output.
         #
-        #     Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #     Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #     in the
-        #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
+        #   in the
+        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #     Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-        #     ensures the message the model generates is valid JSON. Using `json_schema` is
-        #     preferred for models that support it.
+        #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+        #   ensures the message the model generates is valid JSON. Using `json_schema` is
+        #   preferred for models that support it.
         #
         #   @return [OpenAI::Models::ResponseFormatText, OpenAI::Models::ResponseFormatJSONSchema, OpenAI::Models::ResponseFormatJSONObject, nil]
         optional :response_format, union: -> { OpenAI::Models::Chat::CompletionCreateParams::ResponseFormat }
@@ -221,44 +221,44 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute seed
         #   This feature is in Beta. If specified, our system will make a best effort to
-        #     sample deterministically, such that repeated requests with the same `seed` and
-        #     parameters should return the same result. Determinism is not guaranteed, and you
-        #     should refer to the `system_fingerprint` response parameter to monitor changes
-        #     in the backend.
+        #   sample deterministically, such that repeated requests with the same `seed` and
+        #   parameters should return the same result. Determinism is not guaranteed, and you
+        #   should refer to the `system_fingerprint` response parameter to monitor changes
+        #   in the backend.
         #
         #   @return [Integer, nil]
         optional :seed, Integer, nil?: true
 
         # @!attribute service_tier
         #   Specifies the latency tier to use for processing the request. This parameter is
-        #     relevant for customers subscribed to the scale tier service:
+        #   relevant for customers subscribed to the scale tier service:
         #
-        #     - If set to 'auto', and the Project is Scale tier enabled, the system will
-        #       utilize scale tier credits until they are exhausted.
-        #     - If set to 'auto', and the Project is not Scale tier enabled, the request will
-        #       be processed using the default service tier with a lower uptime SLA and no
-        #       latency guarentee.
-        #     - If set to 'default', the request will be processed using the default service
-        #       tier with a lower uptime SLA and no latency guarentee.
-        #     - When not set, the default behavior is 'auto'.
+        #   - If set to 'auto', and the Project is Scale tier enabled, the system will
+        #     utilize scale tier credits until they are exhausted.
+        #   - If set to 'auto', and the Project is not Scale tier enabled, the request will
+        #     be processed using the default service tier with a lower uptime SLA and no
+        #     latency guarentee.
+        #   - If set to 'default', the request will be processed using the default service
+        #     tier with a lower uptime SLA and no latency guarentee.
+        #   - When not set, the default behavior is 'auto'.
         #
-        #     When this parameter is set, the response body will include the `service_tier`
-        #     utilized.
+        #   When this parameter is set, the response body will include the `service_tier`
+        #   utilized.
         #
         #   @return [Symbol, OpenAI::Models::Chat::CompletionCreateParams::ServiceTier, nil]
         optional :service_tier, enum: -> { OpenAI::Models::Chat::CompletionCreateParams::ServiceTier }, nil?: true
 
         # @!attribute stop
         #   Up to 4 sequences where the API will stop generating further tokens. The
-        #     returned text will not contain the stop sequence.
+        #   returned text will not contain the stop sequence.
         #
         #   @return [String, Array<String>, nil]
         optional :stop, union: -> { OpenAI::Models::Chat::CompletionCreateParams::Stop }, nil?: true
 
         # @!attribute store
         #   Whether or not to store the output of this chat completion request for use in
-        #     our [model distillation](https://platform.openai.com/docs/guides/distillation)
-        #     or [evals](https://platform.openai.com/docs/guides/evals) products.
+        #   our [model distillation](https://platform.openai.com/docs/guides/distillation)
+        #   or [evals](https://platform.openai.com/docs/guides/evals) products.
         #
         #   @return [Boolean, nil]
         optional :store, OpenAI::Internal::Type::Boolean, nil?: true
@@ -271,23 +271,23 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute temperature
         #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #     make the output more random, while lower values like 0.2 will make it more
-        #     focused and deterministic. We generally recommend altering this or `top_p` but
-        #     not both.
+        #   make the output more random, while lower values like 0.2 will make it more
+        #   focused and deterministic. We generally recommend altering this or `top_p` but
+        #   not both.
         #
         #   @return [Float, nil]
         optional :temperature, Float, nil?: true
 
         # @!attribute [r] tool_choice
         #   Controls which (if any) tool is called by the model. `none` means the model will
-        #     not call any tool and instead generates a message. `auto` means the model can
-        #     pick between generating a message or calling one or more tools. `required` means
-        #     the model must call one or more tools. Specifying a particular tool via
-        #     `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-        #     call that tool.
+        #   not call any tool and instead generates a message. `auto` means the model can
+        #   pick between generating a message or calling one or more tools. `required` means
+        #   the model must call one or more tools. Specifying a particular tool via
+        #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+        #   call that tool.
         #
-        #     `none` is the default when no tools are present. `auto` is the default if tools
-        #     are present.
+        #   `none` is the default when no tools are present. `auto` is the default if tools
+        #   are present.
         #
         #   @return [Symbol, OpenAI::Models::Chat::ChatCompletionToolChoiceOption::Auto, OpenAI::Models::Chat::ChatCompletionNamedToolChoice, nil]
         optional :tool_choice, union: -> { OpenAI::Models::Chat::ChatCompletionToolChoiceOption }
@@ -298,8 +298,8 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] tools
         #   A list of tools the model may call. Currently, only functions are supported as a
-        #     tool. Use this to provide a list of functions the model may generate JSON inputs
-        #     for. A max of 128 functions are supported.
+        #   tool. Use this to provide a list of functions the model may generate JSON inputs
+        #   for. A max of 128 functions are supported.
         #
         #   @return [Array<OpenAI::Models::Chat::ChatCompletionTool>, nil]
         optional :tools, -> { OpenAI::Internal::Type::ArrayOf[OpenAI::Models::Chat::ChatCompletionTool] }
@@ -310,26 +310,26 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute top_logprobs
         #   An integer between 0 and 20 specifying the number of most likely tokens to
-        #     return at each token position, each with an associated log probability.
-        #     `logprobs` must be set to `true` if this parameter is used.
+        #   return at each token position, each with an associated log probability.
+        #   `logprobs` must be set to `true` if this parameter is used.
         #
         #   @return [Integer, nil]
         optional :top_logprobs, Integer, nil?: true
 
         # @!attribute top_p
         #   An alternative to sampling with temperature, called nucleus sampling, where the
-        #     model considers the results of the tokens with top_p probability mass. So 0.1
-        #     means only the tokens comprising the top 10% probability mass are considered.
+        #   model considers the results of the tokens with top_p probability mass. So 0.1
+        #   means only the tokens comprising the top 10% probability mass are considered.
         #
-        #     We generally recommend altering this or `temperature` but not both.
+        #   We generally recommend altering this or `temperature` but not both.
         #
         #   @return [Float, nil]
         optional :top_p, Float, nil?: true
 
         # @!attribute [r] user
         #   A unique identifier representing your end-user, which can help OpenAI to monitor
-        #     and detect abuse.
-        #     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        #   and detect abuse.
+        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         #
         #   @return [String, nil]
         optional :user, String
@@ -340,8 +340,8 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] web_search_options
         #   This tool searches the web for relevant results to use in a response. Learn more
-        #     about the
-        #     [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+        #   about the
+        #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
         #
         #   @return [OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions, nil]
         optional :web_search_options, -> { OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions }
@@ -423,10 +423,10 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #   wide range of models with different capabilities, performance characteristics,
-        #   and price points. Refer to the
-        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #   available models.
+        # wide range of models with different capabilities, performance characteristics,
+        # and price points. Refer to the
+        # [model guide](https://platform.openai.com/docs/models) to browse and compare
+        # available models.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -447,18 +447,18 @@ module Model
         #
         # Deprecated in favor of `tool_choice`.
         #
-        #   Controls which (if any) function is called by the model.
+        # Controls which (if any) function is called by the model.
         #
-        #   `none` means the model will not call a function and instead generates a message.
+        # `none` means the model will not call a function and instead generates a message.
         #
-        #   `auto` means the model can pick between generating a message or calling a
-        #   function.
+        # `auto` means the model can pick between generating a message or calling a
+        # function.
         #
-        #   Specifying a particular function via `{"name": "my_function"}` forces the model
-        #   to call that function.
+        # Specifying a particular function via `{"name": "my_function"}` forces the model
+        # to call that function.
         #
-        #   `none` is the default when no functions are present. `auto` is the default if
-        #   functions are present.
+        # `none` is the default when no functions are present. `auto` is the default if
+        # functions are present.
         module FunctionCall
           extend OpenAI::Internal::Type::Union
 
@@ -469,8 +469,8 @@ module FunctionCall
           variant -> { OpenAI::Models::Chat::ChatCompletionFunctionCallOption }
 
           # `none` means the model will not call a function and instead generates a message.
-          #   `auto` means the model can pick between generating a message or calling a
-          #   function.
+          # `auto` means the model can pick between generating a message or calling a
+          # function.
           module FunctionCallMode
             extend OpenAI::Internal::Type::Enum
 
@@ -493,14 +493,14 @@ module FunctionCallMode
         class Function < OpenAI::Internal::Type::BaseModel
           # @!attribute name
           #   The name of the function to be called. Must be a-z, A-Z, 0-9, or contain
-          #     underscores and dashes, with a maximum length of 64.
+          #   underscores and dashes, with a maximum length of 64.
           #
           #   @return [String]
           required :name, String
 
           # @!attribute [r] description
           #   A description of what the function does, used by the model to choose when and
-          #     how to call the function.
+          #   how to call the function.
           #
           #   @return [String, nil]
           optional :description, String
@@ -511,12 +511,12 @@ class Function < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] parameters
           #   The parameters the functions accepts, described as a JSON Schema object. See the
-          #     [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
-          #     and the
-          #     [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
-          #     documentation about the format.
+          #   [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
+          #   and the
+          #   [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
+          #   documentation about the format.
           #
-          #     Omitting `parameters` defines a function with an empty parameter list.
+          #   Omitting `parameters` defines a function with an empty parameter list.
           #
           #   @return [Hash{Symbol=>Object}, nil]
           optional :parameters, OpenAI::Internal::Type::HashOf[OpenAI::Internal::Type::Unknown]
@@ -550,14 +550,14 @@ module Modality
 
         # An object specifying the format that the model must output.
         #
-        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #   in the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        # Outputs which ensures the model will match your supplied JSON schema. Learn more
+        # in the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-        #   ensures the message the model generates is valid JSON. Using `json_schema` is
-        #   preferred for models that support it.
+        # Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+        # ensures the message the model generates is valid JSON. Using `json_schema` is
+        # preferred for models that support it.
         module ResponseFormat
           extend OpenAI::Internal::Type::Union
 
@@ -580,19 +580,19 @@ module ResponseFormat
         end
 
         # Specifies the latency tier to use for processing the request. This parameter is
-        #   relevant for customers subscribed to the scale tier service:
-        #
-        #   - If set to 'auto', and the Project is Scale tier enabled, the system will
-        #     utilize scale tier credits until they are exhausted.
-        #   - If set to 'auto', and the Project is not Scale tier enabled, the request will
-        #     be processed using the default service tier with a lower uptime SLA and no
-        #     latency guarentee.
-        #   - If set to 'default', the request will be processed using the default service
-        #     tier with a lower uptime SLA and no latency guarentee.
-        #   - When not set, the default behavior is 'auto'.
-        #
-        #   When this parameter is set, the response body will include the `service_tier`
-        #   utilized.
+        # relevant for customers subscribed to the scale tier service:
+        #
+        # - If set to 'auto', and the Project is Scale tier enabled, the system will
+        #   utilize scale tier credits until they are exhausted.
+        # - If set to 'auto', and the Project is not Scale tier enabled, the request will
+        #   be processed using the default service tier with a lower uptime SLA and no
+        #   latency guarentee.
+        # - If set to 'default', the request will be processed using the default service
+        #   tier with a lower uptime SLA and no latency guarentee.
+        # - When not set, the default behavior is 'auto'.
+        #
+        # When this parameter is set, the response body will include the `service_tier`
+        # utilized.
         module ServiceTier
           extend OpenAI::Internal::Type::Enum
 
@@ -607,7 +607,7 @@ module ServiceTier
         end
 
         # Up to 4 sequences where the API will stop generating further tokens. The
-        #   returned text will not contain the stop sequence.
+        # returned text will not contain the stop sequence.
         module Stop
           extend OpenAI::Internal::Type::Union
 
@@ -625,7 +625,7 @@ module Stop
         class WebSearchOptions < OpenAI::Internal::Type::BaseModel
           # @!attribute [r] search_context_size
           #   High level guidance for the amount of context window space to use for the
-          #     search. One of `low`, `medium`, or `high`. `medium` is the default.
+          #   search. One of `low`, `medium`, or `high`. `medium` is the default.
           #
           #   @return [Symbol, OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions::SearchContextSize, nil]
           optional :search_context_size,
@@ -645,8 +645,8 @@ class WebSearchOptions < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # This tool searches the web for relevant results to use in a response. Learn more
-          #   #   about the
-          #   #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+          #   # about the
+          #   # [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
           #   #
           #   # @param search_context_size [Symbol, OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions::SearchContextSize]
           #   # @param user_location [OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions::UserLocation, nil]
@@ -656,7 +656,7 @@ class WebSearchOptions < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # High level guidance for the amount of context window space to use for the
-          #   search. One of `low`, `medium`, or `high`. `medium` is the default.
+          # search. One of `low`, `medium`, or `high`. `medium` is the default.
           #
           # @see OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions#search_context_size
           module SearchContextSize
@@ -712,7 +712,7 @@ class Approximate < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] country
               #   The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of
-              #     the user, e.g. `US`.
+              #   the user, e.g. `US`.
               #
               #   @return [String, nil]
               optional :country, String
@@ -733,7 +733,7 @@ class Approximate < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] timezone
               #   The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the
-              #     user, e.g. `America/Los_Angeles`.
+              #   user, e.g. `America/Los_Angeles`.
               #
               #   @return [String, nil]
               optional :timezone, String
diff --git a/lib/openai/models/chat/completion_list_params.rb b/lib/openai/models/chat/completion_list_params.rb
index 5e2f39ec..dede958c 100644
--- a/lib/openai/models/chat/completion_list_params.rb
+++ b/lib/openai/models/chat/completion_list_params.rb
@@ -32,7 +32,7 @@ class CompletionListParams < OpenAI::Internal::Type::BaseModel
         # @!attribute metadata
         #   A list of metadata keys to filter the Chat Completions by. Example:
         #
-        #     `metadata[key1]=value1&metadata[key2]=value2`
+        #   `metadata[key1]=value1&metadata[key2]=value2`
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -49,7 +49,7 @@ class CompletionListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] order
         #   Sort order for Chat Completions by timestamp. Use `asc` for ascending order or
-        #     `desc` for descending order. Defaults to `asc`.
+        #   `desc` for descending order. Defaults to `asc`.
         #
         #   @return [Symbol, OpenAI::Models::Chat::CompletionListParams::Order, nil]
         optional :order, enum: -> { OpenAI::Models::Chat::CompletionListParams::Order }
@@ -71,7 +71,7 @@ class CompletionListParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # Sort order for Chat Completions by timestamp. Use `asc` for ascending order or
-        #   `desc` for descending order. Defaults to `asc`.
+        # `desc` for descending order. Defaults to `asc`.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/chat/completion_update_params.rb b/lib/openai/models/chat/completion_update_params.rb
index 54a9a688..0a8504f8 100644
--- a/lib/openai/models/chat/completion_update_params.rb
+++ b/lib/openai/models/chat/completion_update_params.rb
@@ -11,11 +11,11 @@ class CompletionUpdateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
diff --git a/lib/openai/models/chat/completions/message_list_params.rb b/lib/openai/models/chat/completions/message_list_params.rb
index 18970d11..eca322af 100644
--- a/lib/openai/models/chat/completions/message_list_params.rb
+++ b/lib/openai/models/chat/completions/message_list_params.rb
@@ -32,7 +32,7 @@ class MessageListParams < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] order
           #   Sort order for messages by timestamp. Use `asc` for ascending order or `desc`
-          #     for descending order. Defaults to `asc`.
+          #   for descending order. Defaults to `asc`.
           #
           #   @return [Symbol, OpenAI::Models::Chat::Completions::MessageListParams::Order, nil]
           optional :order, enum: -> { OpenAI::Models::Chat::Completions::MessageListParams::Order }
@@ -52,7 +52,7 @@ class MessageListParams < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Sort order for messages by timestamp. Use `asc` for ascending order or `desc`
-          #   for descending order. Defaults to `asc`.
+          # for descending order. Defaults to `asc`.
           module Order
             extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/comparison_filter.rb b/lib/openai/models/comparison_filter.rb
index 1c2b3a50..13134827 100644
--- a/lib/openai/models/comparison_filter.rb
+++ b/lib/openai/models/comparison_filter.rb
@@ -12,26 +12,26 @@ class ComparisonFilter < OpenAI::Internal::Type::BaseModel
       # @!attribute type
       #   Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`.
       #
-      #     - `eq`: equals
-      #     - `ne`: not equal
-      #     - `gt`: greater than
-      #     - `gte`: greater than or equal
-      #     - `lt`: less than
-      #     - `lte`: less than or equal
+      #   - `eq`: equals
+      #   - `ne`: not equal
+      #   - `gt`: greater than
+      #   - `gte`: greater than or equal
+      #   - `lt`: less than
+      #   - `lte`: less than or equal
       #
       #   @return [Symbol, OpenAI::Models::ComparisonFilter::Type]
       required :type, enum: -> { OpenAI::Models::ComparisonFilter::Type }
 
       # @!attribute value
       #   The value to compare against the attribute key; supports string, number, or
-      #     boolean types.
+      #   boolean types.
       #
       #   @return [String, Float, Boolean]
       required :value, union: -> { OpenAI::Models::ComparisonFilter::Value }
 
       # @!parse
       #   # A filter used to compare a specified attribute key to a given value using a
-      #   #   defined comparison operation.
+      #   # defined comparison operation.
       #   #
       #   # @param key [String]
       #   # @param type [Symbol, OpenAI::Models::ComparisonFilter::Type]
@@ -43,12 +43,12 @@ class ComparisonFilter < OpenAI::Internal::Type::BaseModel
 
       # Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`.
       #
-      #   - `eq`: equals
-      #   - `ne`: not equal
-      #   - `gt`: greater than
-      #   - `gte`: greater than or equal
-      #   - `lt`: less than
-      #   - `lte`: less than or equal
+      # - `eq`: equals
+      # - `ne`: not equal
+      # - `gt`: greater than
+      # - `gte`: greater than or equal
+      # - `lt`: less than
+      # - `lte`: less than or equal
       #
       # @see OpenAI::Models::ComparisonFilter#type
       module Type
@@ -69,7 +69,7 @@ module Type
       end
 
       # The value to compare against the attribute key; supports string, number, or
-      #   boolean types.
+      # boolean types.
       #
       # @see OpenAI::Models::ComparisonFilter#value
       module Value
diff --git a/lib/openai/models/completion.rb b/lib/openai/models/completion.rb
index 49f1d4c1..6062d60a 100644
--- a/lib/openai/models/completion.rb
+++ b/lib/openai/models/completion.rb
@@ -39,8 +39,8 @@ class Completion < OpenAI::Internal::Type::BaseModel
       # @!attribute [r] system_fingerprint
       #   This fingerprint represents the backend configuration that the model runs with.
       #
-      #     Can be used in conjunction with the `seed` request parameter to understand when
-      #     backend changes have been made that might impact determinism.
+      #   Can be used in conjunction with the `seed` request parameter to understand when
+      #   backend changes have been made that might impact determinism.
       #
       #   @return [String, nil]
       optional :system_fingerprint, String
@@ -61,7 +61,7 @@ class Completion < OpenAI::Internal::Type::BaseModel
 
       # @!parse
       #   # Represents a completion response from the API. Note: both the streamed and
-      #   #   non-streamed response objects share the same shape (unlike the chat endpoint).
+      #   # non-streamed response objects share the same shape (unlike the chat endpoint).
       #   #
       #   # @param id [String]
       #   # @param choices [Array<OpenAI::Models::CompletionChoice>]
diff --git a/lib/openai/models/completion_choice.rb b/lib/openai/models/completion_choice.rb
index 1a2084f4..07081468 100644
--- a/lib/openai/models/completion_choice.rb
+++ b/lib/openai/models/completion_choice.rb
@@ -5,9 +5,9 @@ module Models
     class CompletionChoice < OpenAI::Internal::Type::BaseModel
       # @!attribute finish_reason
       #   The reason the model stopped generating tokens. This will be `stop` if the model
-      #     hit a natural stop point or a provided stop sequence, `length` if the maximum
-      #     number of tokens specified in the request was reached, or `content_filter` if
-      #     content was omitted due to a flag from our content filters.
+      #   hit a natural stop point or a provided stop sequence, `length` if the maximum
+      #   number of tokens specified in the request was reached, or `content_filter` if
+      #   content was omitted due to a flag from our content filters.
       #
       #   @return [Symbol, OpenAI::Models::CompletionChoice::FinishReason]
       required :finish_reason, enum: -> { OpenAI::Models::CompletionChoice::FinishReason }
@@ -38,9 +38,9 @@ class CompletionChoice < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # The reason the model stopped generating tokens. This will be `stop` if the model
-      #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-      #   number of tokens specified in the request was reached, or `content_filter` if
-      #   content was omitted due to a flag from our content filters.
+      # hit a natural stop point or a provided stop sequence, `length` if the maximum
+      # number of tokens specified in the request was reached, or `content_filter` if
+      # content was omitted due to a flag from our content filters.
       #
       # @see OpenAI::Models::CompletionChoice#finish_reason
       module FinishReason
diff --git a/lib/openai/models/completion_create_params.rb b/lib/openai/models/completion_create_params.rb
index c8920c94..a2931ac5 100644
--- a/lib/openai/models/completion_create_params.rb
+++ b/lib/openai/models/completion_create_params.rb
@@ -12,35 +12,35 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute model
       #   ID of the model to use. You can use the
-      #     [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-      #     see all of your available models, or see our
-      #     [Model overview](https://platform.openai.com/docs/models) for descriptions of
-      #     them.
+      #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+      #   see all of your available models, or see our
+      #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
+      #   them.
       #
       #   @return [String, Symbol, OpenAI::Models::CompletionCreateParams::Model]
       required :model, union: -> { OpenAI::Models::CompletionCreateParams::Model }
 
       # @!attribute prompt
       #   The prompt(s) to generate completions for, encoded as a string, array of
-      #     strings, array of tokens, or array of token arrays.
+      #   strings, array of tokens, or array of token arrays.
       #
-      #     Note that <|endoftext|> is the document separator that the model sees during
-      #     training, so if a prompt is not specified the model will generate as if from the
-      #     beginning of a new document.
+      #   Note that <|endoftext|> is the document separator that the model sees during
+      #   training, so if a prompt is not specified the model will generate as if from the
+      #   beginning of a new document.
       #
       #   @return [String, Array<String>, Array<Integer>, Array<Array<Integer>>, nil]
       required :prompt, union: -> { OpenAI::Models::CompletionCreateParams::Prompt }, nil?: true
 
       # @!attribute best_of
       #   Generates `best_of` completions server-side and returns the "best" (the one with
-      #     the highest log probability per token). Results cannot be streamed.
+      #   the highest log probability per token). Results cannot be streamed.
       #
-      #     When used with `n`, `best_of` controls the number of candidate completions and
-      #     `n` specifies how many to return – `best_of` must be greater than `n`.
+      #   When used with `n`, `best_of` controls the number of candidate completions and
+      #   `n` specifies how many to return – `best_of` must be greater than `n`.
       #
-      #     **Note:** Because this parameter generates many completions, it can quickly
-      #     consume your token quota. Use carefully and ensure that you have reasonable
-      #     settings for `max_tokens` and `stop`.
+      #   **Note:** Because this parameter generates many completions, it can quickly
+      #   consume your token quota. Use carefully and ensure that you have reasonable
+      #   settings for `max_tokens` and `stop`.
       #
       #   @return [Integer, nil]
       optional :best_of, Integer, nil?: true
@@ -53,10 +53,10 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute frequency_penalty
       #   Number between -2.0 and 2.0. Positive values penalize new tokens based on their
-      #     existing frequency in the text so far, decreasing the model's likelihood to
-      #     repeat the same line verbatim.
+      #   existing frequency in the text so far, decreasing the model's likelihood to
+      #   repeat the same line verbatim.
       #
-      #     [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
+      #   [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
       #
       #   @return [Float, nil]
       optional :frequency_penalty, Float, nil?: true
@@ -64,39 +64,39 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
       # @!attribute logit_bias
       #   Modify the likelihood of specified tokens appearing in the completion.
       #
-      #     Accepts a JSON object that maps tokens (specified by their token ID in the GPT
-      #     tokenizer) to an associated bias value from -100 to 100. You can use this
-      #     [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs.
-      #     Mathematically, the bias is added to the logits generated by the model prior to
-      #     sampling. The exact effect will vary per model, but values between -1 and 1
-      #     should decrease or increase likelihood of selection; values like -100 or 100
-      #     should result in a ban or exclusive selection of the relevant token.
+      #   Accepts a JSON object that maps tokens (specified by their token ID in the GPT
+      #   tokenizer) to an associated bias value from -100 to 100. You can use this
+      #   [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs.
+      #   Mathematically, the bias is added to the logits generated by the model prior to
+      #   sampling. The exact effect will vary per model, but values between -1 and 1
+      #   should decrease or increase likelihood of selection; values like -100 or 100
+      #   should result in a ban or exclusive selection of the relevant token.
       #
-      #     As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token
-      #     from being generated.
+      #   As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token
+      #   from being generated.
       #
       #   @return [Hash{Symbol=>Integer}, nil]
       optional :logit_bias, OpenAI::Internal::Type::HashOf[Integer], nil?: true
 
       # @!attribute logprobs
       #   Include the log probabilities on the `logprobs` most likely output tokens, as
-      #     well the chosen tokens. For example, if `logprobs` is 5, the API will return a
-      #     list of the 5 most likely tokens. The API will always return the `logprob` of
-      #     the sampled token, so there may be up to `logprobs+1` elements in the response.
+      #   well the chosen tokens. For example, if `logprobs` is 5, the API will return a
+      #   list of the 5 most likely tokens. The API will always return the `logprob` of
+      #   the sampled token, so there may be up to `logprobs+1` elements in the response.
       #
-      #     The maximum value for `logprobs` is 5.
+      #   The maximum value for `logprobs` is 5.
       #
       #   @return [Integer, nil]
       optional :logprobs, Integer, nil?: true
 
       # @!attribute max_tokens
       #   The maximum number of [tokens](/tokenizer) that can be generated in the
-      #     completion.
+      #   completion.
       #
-      #     The token count of your prompt plus `max_tokens` cannot exceed the model's
-      #     context length.
-      #     [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-      #     for counting tokens.
+      #   The token count of your prompt plus `max_tokens` cannot exceed the model's
+      #   context length.
+      #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+      #   for counting tokens.
       #
       #   @return [Integer, nil]
       optional :max_tokens, Integer, nil?: true
@@ -104,37 +104,37 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
       # @!attribute n
       #   How many completions to generate for each prompt.
       #
-      #     **Note:** Because this parameter generates many completions, it can quickly
-      #     consume your token quota. Use carefully and ensure that you have reasonable
-      #     settings for `max_tokens` and `stop`.
+      #   **Note:** Because this parameter generates many completions, it can quickly
+      #   consume your token quota. Use carefully and ensure that you have reasonable
+      #   settings for `max_tokens` and `stop`.
       #
       #   @return [Integer, nil]
       optional :n, Integer, nil?: true
 
       # @!attribute presence_penalty
       #   Number between -2.0 and 2.0. Positive values penalize new tokens based on
-      #     whether they appear in the text so far, increasing the model's likelihood to
-      #     talk about new topics.
+      #   whether they appear in the text so far, increasing the model's likelihood to
+      #   talk about new topics.
       #
-      #     [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
+      #   [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
       #
       #   @return [Float, nil]
       optional :presence_penalty, Float, nil?: true
 
       # @!attribute seed
       #   If specified, our system will make a best effort to sample deterministically,
-      #     such that repeated requests with the same `seed` and parameters should return
-      #     the same result.
+      #   such that repeated requests with the same `seed` and parameters should return
+      #   the same result.
       #
-      #     Determinism is not guaranteed, and you should refer to the `system_fingerprint`
-      #     response parameter to monitor changes in the backend.
+      #   Determinism is not guaranteed, and you should refer to the `system_fingerprint`
+      #   response parameter to monitor changes in the backend.
       #
       #   @return [Integer, nil]
       optional :seed, Integer, nil?: true
 
       # @!attribute stop
       #   Up to 4 sequences where the API will stop generating further tokens. The
-      #     returned text will not contain the stop sequence.
+      #   returned text will not contain the stop sequence.
       #
       #   @return [String, Array<String>, nil]
       optional :stop, union: -> { OpenAI::Models::CompletionCreateParams::Stop }, nil?: true
@@ -148,35 +148,35 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
       # @!attribute suffix
       #   The suffix that comes after a completion of inserted text.
       #
-      #     This parameter is only supported for `gpt-3.5-turbo-instruct`.
+      #   This parameter is only supported for `gpt-3.5-turbo-instruct`.
       #
       #   @return [String, nil]
       optional :suffix, String, nil?: true
 
       # @!attribute temperature
       #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-      #     make the output more random, while lower values like 0.2 will make it more
-      #     focused and deterministic.
+      #   make the output more random, while lower values like 0.2 will make it more
+      #   focused and deterministic.
       #
-      #     We generally recommend altering this or `top_p` but not both.
+      #   We generally recommend altering this or `top_p` but not both.
       #
       #   @return [Float, nil]
       optional :temperature, Float, nil?: true
 
       # @!attribute top_p
       #   An alternative to sampling with temperature, called nucleus sampling, where the
-      #     model considers the results of the tokens with top_p probability mass. So 0.1
-      #     means only the tokens comprising the top 10% probability mass are considered.
+      #   model considers the results of the tokens with top_p probability mass. So 0.1
+      #   means only the tokens comprising the top 10% probability mass are considered.
       #
-      #     We generally recommend altering this or `temperature` but not both.
+      #   We generally recommend altering this or `temperature` but not both.
       #
       #   @return [Float, nil]
       optional :top_p, Float, nil?: true
 
       # @!attribute [r] user
       #   A unique identifier representing your end-user, which can help OpenAI to monitor
-      #     and detect abuse.
-      #     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      #   and detect abuse.
+      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       #
       #   @return [String, nil]
       optional :user, String
@@ -232,10 +232,10 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # ID of the model to use. You can use the
-      #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-      #   see all of your available models, or see our
-      #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-      #   them.
+      # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+      # see all of your available models, or see our
+      # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+      # them.
       module Model
         extend OpenAI::Internal::Type::Union
 
@@ -261,11 +261,11 @@ module Model
       end
 
       # The prompt(s) to generate completions for, encoded as a string, array of
-      #   strings, array of tokens, or array of token arrays.
+      # strings, array of tokens, or array of token arrays.
       #
-      #   Note that <|endoftext|> is the document separator that the model sees during
-      #   training, so if a prompt is not specified the model will generate as if from the
-      #   beginning of a new document.
+      # Note that <|endoftext|> is the document separator that the model sees during
+      # training, so if a prompt is not specified the model will generate as if from the
+      # beginning of a new document.
       module Prompt
         extend OpenAI::Internal::Type::Union
 
@@ -289,7 +289,7 @@ module Prompt
       end
 
       # Up to 4 sequences where the API will stop generating further tokens. The
-      #   returned text will not contain the stop sequence.
+      # returned text will not contain the stop sequence.
       module Stop
         extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/completion_usage.rb b/lib/openai/models/completion_usage.rb
index bdcff97d..0f098720 100644
--- a/lib/openai/models/completion_usage.rb
+++ b/lib/openai/models/completion_usage.rb
@@ -67,7 +67,7 @@ class CompletionUsage < OpenAI::Internal::Type::BaseModel
       class CompletionTokensDetails < OpenAI::Internal::Type::BaseModel
         # @!attribute [r] accepted_prediction_tokens
         #   When using Predicted Outputs, the number of tokens in the prediction that
-        #     appeared in the completion.
+        #   appeared in the completion.
         #
         #   @return [Integer, nil]
         optional :accepted_prediction_tokens, Integer
@@ -98,9 +98,9 @@ class CompletionTokensDetails < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] rejected_prediction_tokens
         #   When using Predicted Outputs, the number of tokens in the prediction that did
-        #     not appear in the completion. However, like reasoning tokens, these tokens are
-        #     still counted in the total completion tokens for purposes of billing, output,
-        #     and context window limits.
+        #   not appear in the completion. However, like reasoning tokens, these tokens are
+        #   still counted in the total completion tokens for purposes of billing, output,
+        #   and context window limits.
         #
         #   @return [Integer, nil]
         optional :rejected_prediction_tokens, Integer
diff --git a/lib/openai/models/compound_filter.rb b/lib/openai/models/compound_filter.rb
index fa9859e2..57314aa0 100644
--- a/lib/openai/models/compound_filter.rb
+++ b/lib/openai/models/compound_filter.rb
@@ -5,7 +5,7 @@ module Models
     class CompoundFilter < OpenAI::Internal::Type::BaseModel
       # @!attribute filters
       #   Array of filters to combine. Items can be `ComparisonFilter` or
-      #     `CompoundFilter`.
+      #   `CompoundFilter`.
       #
       #   @return [Array<OpenAI::Models::ComparisonFilter, Object>]
       required :filters, -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::CompoundFilter::Filter] }
@@ -27,7 +27,7 @@ class CompoundFilter < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # A filter used to compare a specified attribute key to a given value using a
-      #   defined comparison operation.
+      # defined comparison operation.
       module Filter
         extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/embedding.rb b/lib/openai/models/embedding.rb
index d71f4752..75d1aebf 100644
--- a/lib/openai/models/embedding.rb
+++ b/lib/openai/models/embedding.rb
@@ -5,8 +5,8 @@ module Models
     class Embedding < OpenAI::Internal::Type::BaseModel
       # @!attribute embedding
       #   The embedding vector, which is a list of floats. The length of vector depends on
-      #     the model as listed in the
-      #     [embedding guide](https://platform.openai.com/docs/guides/embeddings).
+      #   the model as listed in the
+      #   [embedding guide](https://platform.openai.com/docs/guides/embeddings).
       #
       #   @return [Array<Float>]
       required :embedding, OpenAI::Internal::Type::ArrayOf[Float]
diff --git a/lib/openai/models/embedding_create_params.rb b/lib/openai/models/embedding_create_params.rb
index 4705cd60..3f26541e 100644
--- a/lib/openai/models/embedding_create_params.rb
+++ b/lib/openai/models/embedding_create_params.rb
@@ -10,30 +10,30 @@ class EmbeddingCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute input
       #   Input text to embed, encoded as a string or array of tokens. To embed multiple
-      #     inputs in a single request, pass an array of strings or array of token arrays.
-      #     The input must not exceed the max input tokens for the model (8192 tokens for
-      #     `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
-      #     dimensions or less.
-      #     [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-      #     for counting tokens. Some models may also impose a limit on total number of
-      #     tokens summed across inputs.
+      #   inputs in a single request, pass an array of strings or array of token arrays.
+      #   The input must not exceed the max input tokens for the model (8192 tokens for
+      #   `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
+      #   dimensions or less.
+      #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+      #   for counting tokens. Some models may also impose a limit on total number of
+      #   tokens summed across inputs.
       #
       #   @return [String, Array<String>, Array<Integer>, Array<Array<Integer>>]
       required :input, union: -> { OpenAI::Models::EmbeddingCreateParams::Input }
 
       # @!attribute model
       #   ID of the model to use. You can use the
-      #     [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-      #     see all of your available models, or see our
-      #     [Model overview](https://platform.openai.com/docs/models) for descriptions of
-      #     them.
+      #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+      #   see all of your available models, or see our
+      #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
+      #   them.
       #
       #   @return [String, Symbol, OpenAI::Models::EmbeddingModel]
       required :model, union: -> { OpenAI::Models::EmbeddingCreateParams::Model }
 
       # @!attribute [r] dimensions
       #   The number of dimensions the resulting output embeddings should have. Only
-      #     supported in `text-embedding-3` and later models.
+      #   supported in `text-embedding-3` and later models.
       #
       #   @return [Integer, nil]
       optional :dimensions, Integer
@@ -44,7 +44,7 @@ class EmbeddingCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] encoding_format
       #   The format to return the embeddings in. Can be either `float` or
-      #     [`base64`](https://pypi.org/project/pybase64/).
+      #   [`base64`](https://pypi.org/project/pybase64/).
       #
       #   @return [Symbol, OpenAI::Models::EmbeddingCreateParams::EncodingFormat, nil]
       optional :encoding_format, enum: -> { OpenAI::Models::EmbeddingCreateParams::EncodingFormat }
@@ -55,8 +55,8 @@ class EmbeddingCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] user
       #   A unique identifier representing your end-user, which can help OpenAI to monitor
-      #     and detect abuse.
-      #     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      #   and detect abuse.
+      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       #
       #   @return [String, nil]
       optional :user, String
@@ -78,13 +78,13 @@ class EmbeddingCreateParams < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # Input text to embed, encoded as a string or array of tokens. To embed multiple
-      #   inputs in a single request, pass an array of strings or array of token arrays.
-      #   The input must not exceed the max input tokens for the model (8192 tokens for
-      #   `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
-      #   dimensions or less.
-      #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-      #   for counting tokens. Some models may also impose a limit on total number of
-      #   tokens summed across inputs.
+      # inputs in a single request, pass an array of strings or array of token arrays.
+      # The input must not exceed the max input tokens for the model (8192 tokens for
+      # `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
+      # dimensions or less.
+      # [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+      # for counting tokens. Some models may also impose a limit on total number of
+      # tokens summed across inputs.
       module Input
         extend OpenAI::Internal::Type::Union
 
@@ -112,10 +112,10 @@ module Input
       end
 
       # ID of the model to use. You can use the
-      #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-      #   see all of your available models, or see our
-      #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-      #   them.
+      # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+      # see all of your available models, or see our
+      # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+      # them.
       module Model
         extend OpenAI::Internal::Type::Union
 
@@ -130,7 +130,7 @@ module Model
       end
 
       # The format to return the embeddings in. Can be either `float` or
-      #   [`base64`](https://pypi.org/project/pybase64/).
+      # [`base64`](https://pypi.org/project/pybase64/).
       module EncodingFormat
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/file_chunking_strategy_param.rb b/lib/openai/models/file_chunking_strategy_param.rb
index 6652fa42..8a671209 100644
--- a/lib/openai/models/file_chunking_strategy_param.rb
+++ b/lib/openai/models/file_chunking_strategy_param.rb
@@ -3,7 +3,7 @@
 module OpenAI
   module Models
     # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-    #   strategy. Only applicable if `file_ids` is non-empty.
+    # strategy. Only applicable if `file_ids` is non-empty.
     module FileChunkingStrategyParam
       extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/file_create_params.rb b/lib/openai/models/file_create_params.rb
index 43683821..a3bc12dd 100644
--- a/lib/openai/models/file_create_params.rb
+++ b/lib/openai/models/file_create_params.rb
@@ -16,9 +16,9 @@ class FileCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute purpose
       #   The intended purpose of the uploaded file. One of: - `assistants`: Used in the
-      #     Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
-      #     fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
-      #     Flexible file type for any purpose - `evals`: Used for eval data sets
+      #   Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
+      #   fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
+      #   Flexible file type for any purpose - `evals`: Used for eval data sets
       #
       #   @return [Symbol, OpenAI::Models::FilePurpose]
       required :purpose, enum: -> { OpenAI::Models::FilePurpose }
diff --git a/lib/openai/models/file_list_params.rb b/lib/openai/models/file_list_params.rb
index d5a7bce4..ccc569bf 100644
--- a/lib/openai/models/file_list_params.rb
+++ b/lib/openai/models/file_list_params.rb
@@ -10,9 +10,9 @@ class FileListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] after
       #   A cursor for use in pagination. `after` is an object ID that defines your place
-      #     in the list. For instance, if you make a list request and receive 100 objects,
-      #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-      #     fetch the next page of the list.
+      #   in the list. For instance, if you make a list request and receive 100 objects,
+      #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+      #   fetch the next page of the list.
       #
       #   @return [String, nil]
       optional :after, String
@@ -23,7 +23,7 @@ class FileListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] limit
       #   A limit on the number of objects to be returned. Limit can range between 1 and
-      #     10,000, and the default is 10,000.
+      #   10,000, and the default is 10,000.
       #
       #   @return [Integer, nil]
       optional :limit, Integer
@@ -34,7 +34,7 @@ class FileListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] order
       #   Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-      #     order and `desc` for descending order.
+      #   order and `desc` for descending order.
       #
       #   @return [Symbol, OpenAI::Models::FileListParams::Order, nil]
       optional :order, enum: -> { OpenAI::Models::FileListParams::Order }
@@ -65,7 +65,7 @@ class FileListParams < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-      #   order and `desc` for descending order.
+      # order and `desc` for descending order.
       module Order
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/file_object.rb b/lib/openai/models/file_object.rb
index d25bcfa7..d694613d 100644
--- a/lib/openai/models/file_object.rb
+++ b/lib/openai/models/file_object.rb
@@ -36,15 +36,15 @@ class FileObject < OpenAI::Internal::Type::BaseModel
 
       # @!attribute purpose
       #   The intended purpose of the file. Supported values are `assistants`,
-      #     `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
-      #     and `vision`.
+      #   `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
+      #   and `vision`.
       #
       #   @return [Symbol, OpenAI::Models::FileObject::Purpose]
       required :purpose, enum: -> { OpenAI::Models::FileObject::Purpose }
 
       # @!attribute status
       #   Deprecated. The current status of the file, which can be either `uploaded`,
-      #     `processed`, or `error`.
+      #   `processed`, or `error`.
       #
       #   @return [Symbol, OpenAI::Models::FileObject::Status]
       required :status, enum: -> { OpenAI::Models::FileObject::Status }
@@ -61,7 +61,7 @@ class FileObject < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] status_details
       #   Deprecated. For details on why a fine-tuning training file failed validation,
-      #     see the `error` field on `fine_tuning.job`.
+      #   see the `error` field on `fine_tuning.job`.
       #
       #   @return [String, nil]
       optional :status_details, String
@@ -101,8 +101,8 @@ class FileObject < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # The intended purpose of the file. Supported values are `assistants`,
-      #   `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
-      #   and `vision`.
+      # `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
+      # and `vision`.
       #
       # @see OpenAI::Models::FileObject#purpose
       module Purpose
@@ -126,7 +126,7 @@ module Purpose
       # @deprecated
       #
       # Deprecated. The current status of the file, which can be either `uploaded`,
-      #   `processed`, or `error`.
+      # `processed`, or `error`.
       #
       # @see OpenAI::Models::FileObject#status
       module Status
diff --git a/lib/openai/models/file_purpose.rb b/lib/openai/models/file_purpose.rb
index 3b9a9976..c11caef0 100644
--- a/lib/openai/models/file_purpose.rb
+++ b/lib/openai/models/file_purpose.rb
@@ -3,9 +3,9 @@
 module OpenAI
   module Models
     # The intended purpose of the uploaded file. One of: - `assistants`: Used in the
-    #   Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
-    #   fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
-    #   Flexible file type for any purpose - `evals`: Used for eval data sets
+    # Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
+    # fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
+    # Flexible file type for any purpose - `evals`: Used for eval data sets
     module FilePurpose
       extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/fine_tuning/fine_tuning_job.rb b/lib/openai/models/fine_tuning/fine_tuning_job.rb
index 9b72f23f..b92146f5 100644
--- a/lib/openai/models/fine_tuning/fine_tuning_job.rb
+++ b/lib/openai/models/fine_tuning/fine_tuning_job.rb
@@ -19,28 +19,28 @@ class FineTuningJob < OpenAI::Internal::Type::BaseModel
 
         # @!attribute error
         #   For fine-tuning jobs that have `failed`, this will contain more information on
-        #     the cause of the failure.
+        #   the cause of the failure.
         #
         #   @return [OpenAI::Models::FineTuning::FineTuningJob::Error, nil]
         required :error, -> { OpenAI::Models::FineTuning::FineTuningJob::Error }, nil?: true
 
         # @!attribute fine_tuned_model
         #   The name of the fine-tuned model that is being created. The value will be null
-        #     if the fine-tuning job is still running.
+        #   if the fine-tuning job is still running.
         #
         #   @return [String, nil]
         required :fine_tuned_model, String, nil?: true
 
         # @!attribute finished_at
         #   The Unix timestamp (in seconds) for when the fine-tuning job was finished. The
-        #     value will be null if the fine-tuning job is still running.
+        #   value will be null if the fine-tuning job is still running.
         #
         #   @return [Integer, nil]
         required :finished_at, Integer, nil?: true
 
         # @!attribute hyperparameters
         #   The hyperparameters used for the fine-tuning job. This value will only be
-        #     returned when running `supervised` jobs.
+        #   returned when running `supervised` jobs.
         #
         #   @return [OpenAI::Models::FineTuning::FineTuningJob::Hyperparameters]
         required :hyperparameters, -> { OpenAI::Models::FineTuning::FineTuningJob::Hyperparameters }
@@ -65,8 +65,8 @@ class FineTuningJob < OpenAI::Internal::Type::BaseModel
 
         # @!attribute result_files
         #   The compiled results file ID(s) for the fine-tuning job. You can retrieve the
-        #     results with the
-        #     [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
+        #   results with the
+        #   [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
         #
         #   @return [Array<String>]
         required :result_files, OpenAI::Internal::Type::ArrayOf[String]
@@ -79,36 +79,36 @@ class FineTuningJob < OpenAI::Internal::Type::BaseModel
 
         # @!attribute status
         #   The current status of the fine-tuning job, which can be either
-        #     `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
+        #   `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
         #
         #   @return [Symbol, OpenAI::Models::FineTuning::FineTuningJob::Status]
         required :status, enum: -> { OpenAI::Models::FineTuning::FineTuningJob::Status }
 
         # @!attribute trained_tokens
         #   The total number of billable tokens processed by this fine-tuning job. The value
-        #     will be null if the fine-tuning job is still running.
+        #   will be null if the fine-tuning job is still running.
         #
         #   @return [Integer, nil]
         required :trained_tokens, Integer, nil?: true
 
         # @!attribute training_file
         #   The file ID used for training. You can retrieve the training data with the
-        #     [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
+        #   [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
         #
         #   @return [String]
         required :training_file, String
 
         # @!attribute validation_file
         #   The file ID used for validation. You can retrieve the validation results with
-        #     the
-        #     [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
+        #   the
+        #   [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
         #
         #   @return [String, nil]
         required :validation_file, String, nil?: true
 
         # @!attribute estimated_finish
         #   The Unix timestamp (in seconds) for when the fine-tuning job is estimated to
-        #     finish. The value will be null if the fine-tuning job is not running.
+        #   finish. The value will be null if the fine-tuning job is not running.
         #
         #   @return [Integer, nil]
         optional :estimated_finish, Integer, nil?: true
@@ -123,11 +123,11 @@ class FineTuningJob < OpenAI::Internal::Type::BaseModel
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -144,7 +144,7 @@ class FineTuningJob < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # The `fine_tuning.job` object represents a fine-tuning job that has been created
-        #   #   through the API.
+        #   # through the API.
         #   #
         #   # @param id [String]
         #   # @param created_at [Integer]
@@ -209,14 +209,14 @@ class Error < OpenAI::Internal::Type::BaseModel
 
           # @!attribute param
           #   The parameter that was invalid, usually `training_file` or `validation_file`.
-          #     This field will be null if the failure was not parameter-specific.
+          #   This field will be null if the failure was not parameter-specific.
           #
           #   @return [String, nil]
           required :param, String, nil?: true
 
           # @!parse
           #   # For fine-tuning jobs that have `failed`, this will contain more information on
-          #   #   the cause of the failure.
+          #   # the cause of the failure.
           #   #
           #   # @param code [String]
           #   # @param message [String]
@@ -231,7 +231,7 @@ class Error < OpenAI::Internal::Type::BaseModel
         class Hyperparameters < OpenAI::Internal::Type::BaseModel
           # @!attribute [r] batch_size
           #   Number of examples in each batch. A larger batch size means that model
-          #     parameters are updated less frequently, but with lower variance.
+          #   parameters are updated less frequently, but with lower variance.
           #
           #   @return [Symbol, :auto, Integer, nil]
           optional :batch_size, union: -> { OpenAI::Models::FineTuning::FineTuningJob::Hyperparameters::BatchSize }
@@ -242,7 +242,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] learning_rate_multiplier
           #   Scaling factor for the learning rate. A smaller learning rate may be useful to
-          #     avoid overfitting.
+          #   avoid overfitting.
           #
           #   @return [Symbol, :auto, Float, nil]
           optional :learning_rate_multiplier,
@@ -254,7 +254,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] n_epochs
           #   The number of epochs to train the model for. An epoch refers to one full cycle
-          #     through the training dataset.
+          #   through the training dataset.
           #
           #   @return [Symbol, :auto, Integer, nil]
           optional :n_epochs, union: -> { OpenAI::Models::FineTuning::FineTuningJob::Hyperparameters::NEpochs }
@@ -265,7 +265,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # The hyperparameters used for the fine-tuning job. This value will only be
-          #   #   returned when running `supervised` jobs.
+          #   # returned when running `supervised` jobs.
           #   #
           #   # @param batch_size [Symbol, :auto, Integer]
           #   # @param learning_rate_multiplier [Symbol, :auto, Float]
@@ -276,7 +276,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Number of examples in each batch. A larger batch size means that model
-          #   parameters are updated less frequently, but with lower variance.
+          # parameters are updated less frequently, but with lower variance.
           #
           # @see OpenAI::Models::FineTuning::FineTuningJob::Hyperparameters#batch_size
           module BatchSize
@@ -292,7 +292,7 @@ module BatchSize
           end
 
           # Scaling factor for the learning rate. A smaller learning rate may be useful to
-          #   avoid overfitting.
+          # avoid overfitting.
           #
           # @see OpenAI::Models::FineTuning::FineTuningJob::Hyperparameters#learning_rate_multiplier
           module LearningRateMultiplier
@@ -308,7 +308,7 @@ module LearningRateMultiplier
           end
 
           # The number of epochs to train the model for. An epoch refers to one full cycle
-          #   through the training dataset.
+          # through the training dataset.
           #
           # @see OpenAI::Models::FineTuning::FineTuningJob::Hyperparameters#n_epochs
           module NEpochs
@@ -325,7 +325,7 @@ module NEpochs
         end
 
         # The current status of the fine-tuning job, which can be either
-        #   `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
+        # `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
         #
         # @see OpenAI::Models::FineTuning::FineTuningJob#status
         module Status
@@ -413,7 +413,7 @@ class Dpo < OpenAI::Internal::Type::BaseModel
             class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] batch_size
               #   Number of examples in each batch. A larger batch size means that model
-              #     parameters are updated less frequently, but with lower variance.
+              #   parameters are updated less frequently, but with lower variance.
               #
               #   @return [Symbol, :auto, Integer, nil]
               optional :batch_size,
@@ -425,7 +425,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] beta
               #   The beta value for the DPO method. A higher beta value will increase the weight
-              #     of the penalty between the policy and reference model.
+              #   of the penalty between the policy and reference model.
               #
               #   @return [Symbol, :auto, Float, nil]
               optional :beta,
@@ -437,7 +437,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] learning_rate_multiplier
               #   Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #     avoid overfitting.
+              #   avoid overfitting.
               #
               #   @return [Symbol, :auto, Float, nil]
               optional :learning_rate_multiplier,
@@ -449,7 +449,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] n_epochs
               #   The number of epochs to train the model for. An epoch refers to one full cycle
-              #     through the training dataset.
+              #   through the training dataset.
               #
               #   @return [Symbol, :auto, Integer, nil]
               optional :n_epochs,
@@ -472,7 +472,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               #
               # @see OpenAI::Models::FineTuning::FineTuningJob::Method::Dpo::Hyperparameters#batch_size
               module BatchSize
@@ -488,7 +488,7 @@ module BatchSize
               end
 
               # The beta value for the DPO method. A higher beta value will increase the weight
-              #   of the penalty between the policy and reference model.
+              # of the penalty between the policy and reference model.
               #
               # @see OpenAI::Models::FineTuning::FineTuningJob::Method::Dpo::Hyperparameters#beta
               module Beta
@@ -504,7 +504,7 @@ module Beta
               end
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               #
               # @see OpenAI::Models::FineTuning::FineTuningJob::Method::Dpo::Hyperparameters#learning_rate_multiplier
               module LearningRateMultiplier
@@ -520,7 +520,7 @@ module LearningRateMultiplier
               end
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               #
               # @see OpenAI::Models::FineTuning::FineTuningJob::Method::Dpo::Hyperparameters#n_epochs
               module NEpochs
@@ -563,7 +563,7 @@ class Supervised < OpenAI::Internal::Type::BaseModel
             class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] batch_size
               #   Number of examples in each batch. A larger batch size means that model
-              #     parameters are updated less frequently, but with lower variance.
+              #   parameters are updated less frequently, but with lower variance.
               #
               #   @return [Symbol, :auto, Integer, nil]
               optional :batch_size,
@@ -575,7 +575,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] learning_rate_multiplier
               #   Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #     avoid overfitting.
+              #   avoid overfitting.
               #
               #   @return [Symbol, :auto, Float, nil]
               optional :learning_rate_multiplier,
@@ -587,7 +587,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] n_epochs
               #   The number of epochs to train the model for. An epoch refers to one full cycle
-              #     through the training dataset.
+              #   through the training dataset.
               #
               #   @return [Symbol, :auto, Integer, nil]
               optional :n_epochs,
@@ -609,7 +609,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               #
               # @see OpenAI::Models::FineTuning::FineTuningJob::Method::Supervised::Hyperparameters#batch_size
               module BatchSize
@@ -625,7 +625,7 @@ module BatchSize
               end
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               #
               # @see OpenAI::Models::FineTuning::FineTuningJob::Method::Supervised::Hyperparameters#learning_rate_multiplier
               module LearningRateMultiplier
@@ -641,7 +641,7 @@ module LearningRateMultiplier
               end
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               #
               # @see OpenAI::Models::FineTuning::FineTuningJob::Method::Supervised::Hyperparameters#n_epochs
               module NEpochs
diff --git a/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration.rb b/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration.rb
index 5b1dc8c8..603de792 100644
--- a/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration.rb
+++ b/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration.rb
@@ -12,23 +12,23 @@ class FineTuningJobWandbIntegration < OpenAI::Internal::Type::BaseModel
 
         # @!attribute entity
         #   The entity to use for the run. This allows you to set the team or username of
-        #     the WandB user that you would like associated with the run. If not set, the
-        #     default entity for the registered WandB API key is used.
+        #   the WandB user that you would like associated with the run. If not set, the
+        #   default entity for the registered WandB API key is used.
         #
         #   @return [String, nil]
         optional :entity, String, nil?: true
 
         # @!attribute name
         #   A display name to set for the run. If not set, we will use the Job ID as the
-        #     name.
+        #   name.
         #
         #   @return [String, nil]
         optional :name, String, nil?: true
 
         # @!attribute [r] tags
         #   A list of tags to be attached to the newly created run. These tags are passed
-        #     through directly to WandB. Some default tags are generated by OpenAI:
-        #     "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
+        #   through directly to WandB. Some default tags are generated by OpenAI:
+        #   "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
         #
         #   @return [Array<String>, nil]
         optional :tags, OpenAI::Internal::Type::ArrayOf[String]
@@ -39,9 +39,9 @@ class FineTuningJobWandbIntegration < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # The settings for your integration with Weights and Biases. This payload
-        #   #   specifies the project that metrics will be sent to. Optionally, you can set an
-        #   #   explicit display name for your run, add tags to your run, and set a default
-        #   #   entity (team, username, etc) to be associated with your run.
+        #   # specifies the project that metrics will be sent to. Optionally, you can set an
+        #   # explicit display name for your run, add tags to your run, and set a default
+        #   # entity (team, username, etc) to be associated with your run.
         #   #
         #   # @param project [String]
         #   # @param entity [String, nil]
diff --git a/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration_object.rb b/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration_object.rb
index 05920c94..3554c944 100644
--- a/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration_object.rb
+++ b/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration_object.rb
@@ -12,9 +12,9 @@ class FineTuningJobWandbIntegrationObject < OpenAI::Internal::Type::BaseModel
 
         # @!attribute wandb
         #   The settings for your integration with Weights and Biases. This payload
-        #     specifies the project that metrics will be sent to. Optionally, you can set an
-        #     explicit display name for your run, add tags to your run, and set a default
-        #     entity (team, username, etc) to be associated with your run.
+        #   specifies the project that metrics will be sent to. Optionally, you can set an
+        #   explicit display name for your run, add tags to your run, and set a default
+        #   entity (team, username, etc) to be associated with your run.
         #
         #   @return [OpenAI::Models::FineTuning::FineTuningJobWandbIntegration]
         required :wandb, -> { OpenAI::Models::FineTuning::FineTuningJobWandbIntegration }
diff --git a/lib/openai/models/fine_tuning/job_create_params.rb b/lib/openai/models/fine_tuning/job_create_params.rb
index 89dcb87d..df3de345 100644
--- a/lib/openai/models/fine_tuning/job_create_params.rb
+++ b/lib/openai/models/fine_tuning/job_create_params.rb
@@ -11,7 +11,7 @@ class JobCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute model
         #   The name of the model to fine-tune. You can select one of the
-        #     [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
+        #   [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
         #
         #   @return [String, Symbol, OpenAI::Models::FineTuning::JobCreateParams::Model]
         required :model, union: -> { OpenAI::Models::FineTuning::JobCreateParams::Model }
@@ -19,28 +19,28 @@ class JobCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute training_file
         #   The ID of an uploaded file that contains training data.
         #
-        #     See [upload file](https://platform.openai.com/docs/api-reference/files/create)
-        #     for how to upload a file.
+        #   See [upload file](https://platform.openai.com/docs/api-reference/files/create)
+        #   for how to upload a file.
         #
-        #     Your dataset must be formatted as a JSONL file. Additionally, you must upload
-        #     your file with the purpose `fine-tune`.
+        #   Your dataset must be formatted as a JSONL file. Additionally, you must upload
+        #   your file with the purpose `fine-tune`.
         #
-        #     The contents of the file should differ depending on if the model uses the
-        #     [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input),
-        #     [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
-        #     format, or if the fine-tuning method uses the
-        #     [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
-        #     format.
+        #   The contents of the file should differ depending on if the model uses the
+        #   [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input),
+        #   [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
+        #   format, or if the fine-tuning method uses the
+        #   [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
+        #   format.
         #
-        #     See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
-        #     for more details.
+        #   See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
+        #   for more details.
         #
         #   @return [String]
         required :training_file, String
 
         # @!attribute [r] hyperparameters
         #   The hyperparameters used for the fine-tuning job. This value is now deprecated
-        #     in favor of `method`, and should be passed in under the `method` parameter.
+        #   in favor of `method`, and should be passed in under the `method` parameter.
         #
         #   @return [OpenAI::Models::FineTuning::JobCreateParams::Hyperparameters, nil]
         optional :hyperparameters, -> { OpenAI::Models::FineTuning::JobCreateParams::Hyperparameters }
@@ -59,11 +59,11 @@ class JobCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -80,18 +80,18 @@ class JobCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute seed
         #   The seed controls the reproducibility of the job. Passing in the same seed and
-        #     job parameters should produce the same results, but may differ in rare cases. If
-        #     a seed is not specified, one will be generated for you.
+        #   job parameters should produce the same results, but may differ in rare cases. If
+        #   a seed is not specified, one will be generated for you.
         #
         #   @return [Integer, nil]
         optional :seed, Integer, nil?: true
 
         # @!attribute suffix
         #   A string of up to 64 characters that will be added to your fine-tuned model
-        #     name.
+        #   name.
         #
-        #     For example, a `suffix` of "custom-model-name" would produce a model name like
-        #     `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`.
+        #   For example, a `suffix` of "custom-model-name" would produce a model name like
+        #   `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`.
         #
         #   @return [String, nil]
         optional :suffix, String, nil?: true
@@ -99,16 +99,16 @@ class JobCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute validation_file
         #   The ID of an uploaded file that contains validation data.
         #
-        #     If you provide this file, the data is used to generate validation metrics
-        #     periodically during fine-tuning. These metrics can be viewed in the fine-tuning
-        #     results file. The same data should not be present in both train and validation
-        #     files.
+        #   If you provide this file, the data is used to generate validation metrics
+        #   periodically during fine-tuning. These metrics can be viewed in the fine-tuning
+        #   results file. The same data should not be present in both train and validation
+        #   files.
         #
-        #     Your dataset must be formatted as a JSONL file. You must upload your file with
-        #     the purpose `fine-tune`.
+        #   Your dataset must be formatted as a JSONL file. You must upload your file with
+        #   the purpose `fine-tune`.
         #
-        #     See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
-        #     for more details.
+        #   See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
+        #   for more details.
         #
         #   @return [String, nil]
         optional :validation_file, String, nil?: true
@@ -144,7 +144,7 @@ class JobCreateParams < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # The name of the model to fine-tune. You can select one of the
-        #   [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
+        # [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -176,7 +176,7 @@ module Model
         class Hyperparameters < OpenAI::Internal::Type::BaseModel
           # @!attribute [r] batch_size
           #   Number of examples in each batch. A larger batch size means that model
-          #     parameters are updated less frequently, but with lower variance.
+          #   parameters are updated less frequently, but with lower variance.
           #
           #   @return [Symbol, :auto, Integer, nil]
           optional :batch_size,
@@ -188,7 +188,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] learning_rate_multiplier
           #   Scaling factor for the learning rate. A smaller learning rate may be useful to
-          #     avoid overfitting.
+          #   avoid overfitting.
           #
           #   @return [Symbol, :auto, Float, nil]
           optional :learning_rate_multiplier,
@@ -200,7 +200,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] n_epochs
           #   The number of epochs to train the model for. An epoch refers to one full cycle
-          #     through the training dataset.
+          #   through the training dataset.
           #
           #   @return [Symbol, :auto, Integer, nil]
           optional :n_epochs, union: -> { OpenAI::Models::FineTuning::JobCreateParams::Hyperparameters::NEpochs }
@@ -211,7 +211,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # The hyperparameters used for the fine-tuning job. This value is now deprecated
-          #   #   in favor of `method`, and should be passed in under the `method` parameter.
+          #   # in favor of `method`, and should be passed in under the `method` parameter.
           #   #
           #   # @param batch_size [Symbol, :auto, Integer]
           #   # @param learning_rate_multiplier [Symbol, :auto, Float]
@@ -222,7 +222,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # Number of examples in each batch. A larger batch size means that model
-          #   parameters are updated less frequently, but with lower variance.
+          # parameters are updated less frequently, but with lower variance.
           #
           # @see OpenAI::Models::FineTuning::JobCreateParams::Hyperparameters#batch_size
           module BatchSize
@@ -238,7 +238,7 @@ module BatchSize
           end
 
           # Scaling factor for the learning rate. A smaller learning rate may be useful to
-          #   avoid overfitting.
+          # avoid overfitting.
           #
           # @see OpenAI::Models::FineTuning::JobCreateParams::Hyperparameters#learning_rate_multiplier
           module LearningRateMultiplier
@@ -254,7 +254,7 @@ module LearningRateMultiplier
           end
 
           # The number of epochs to train the model for. An epoch refers to one full cycle
-          #   through the training dataset.
+          # through the training dataset.
           #
           # @see OpenAI::Models::FineTuning::JobCreateParams::Hyperparameters#n_epochs
           module NEpochs
@@ -273,16 +273,16 @@ module NEpochs
         class Integration < OpenAI::Internal::Type::BaseModel
           # @!attribute type
           #   The type of integration to enable. Currently, only "wandb" (Weights and Biases)
-          #     is supported.
+          #   is supported.
           #
           #   @return [Symbol, :wandb]
           required :type, const: :wandb
 
           # @!attribute wandb
           #   The settings for your integration with Weights and Biases. This payload
-          #     specifies the project that metrics will be sent to. Optionally, you can set an
-          #     explicit display name for your run, add tags to your run, and set a default
-          #     entity (team, username, etc) to be associated with your run.
+          #   specifies the project that metrics will be sent to. Optionally, you can set an
+          #   explicit display name for your run, add tags to your run, and set a default
+          #   entity (team, username, etc) to be associated with your run.
           #
           #   @return [OpenAI::Models::FineTuning::JobCreateParams::Integration::Wandb]
           required :wandb, -> { OpenAI::Models::FineTuning::JobCreateParams::Integration::Wandb }
@@ -305,23 +305,23 @@ class Wandb < OpenAI::Internal::Type::BaseModel
 
             # @!attribute entity
             #   The entity to use for the run. This allows you to set the team or username of
-            #     the WandB user that you would like associated with the run. If not set, the
-            #     default entity for the registered WandB API key is used.
+            #   the WandB user that you would like associated with the run. If not set, the
+            #   default entity for the registered WandB API key is used.
             #
             #   @return [String, nil]
             optional :entity, String, nil?: true
 
             # @!attribute name
             #   A display name to set for the run. If not set, we will use the Job ID as the
-            #     name.
+            #   name.
             #
             #   @return [String, nil]
             optional :name, String, nil?: true
 
             # @!attribute [r] tags
             #   A list of tags to be attached to the newly created run. These tags are passed
-            #     through directly to WandB. Some default tags are generated by OpenAI:
-            #     "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
+            #   through directly to WandB. Some default tags are generated by OpenAI:
+            #   "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
             #
             #   @return [Array<String>, nil]
             optional :tags, OpenAI::Internal::Type::ArrayOf[String]
@@ -332,9 +332,9 @@ class Wandb < OpenAI::Internal::Type::BaseModel
 
             # @!parse
             #   # The settings for your integration with Weights and Biases. This payload
-            #   #   specifies the project that metrics will be sent to. Optionally, you can set an
-            #   #   explicit display name for your run, add tags to your run, and set a default
-            #   #   entity (team, username, etc) to be associated with your run.
+            #   # specifies the project that metrics will be sent to. Optionally, you can set an
+            #   # explicit display name for your run, add tags to your run, and set a default
+            #   # entity (team, username, etc) to be associated with your run.
             #   #
             #   # @param project [String]
             #   # @param entity [String, nil]
@@ -415,7 +415,7 @@ class Dpo < OpenAI::Internal::Type::BaseModel
             class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] batch_size
               #   Number of examples in each batch. A larger batch size means that model
-              #     parameters are updated less frequently, but with lower variance.
+              #   parameters are updated less frequently, but with lower variance.
               #
               #   @return [Symbol, :auto, Integer, nil]
               optional :batch_size,
@@ -427,7 +427,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] beta
               #   The beta value for the DPO method. A higher beta value will increase the weight
-              #     of the penalty between the policy and reference model.
+              #   of the penalty between the policy and reference model.
               #
               #   @return [Symbol, :auto, Float, nil]
               optional :beta,
@@ -439,7 +439,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] learning_rate_multiplier
               #   Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #     avoid overfitting.
+              #   avoid overfitting.
               #
               #   @return [Symbol, :auto, Float, nil]
               optional :learning_rate_multiplier,
@@ -451,7 +451,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] n_epochs
               #   The number of epochs to train the model for. An epoch refers to one full cycle
-              #     through the training dataset.
+              #   through the training dataset.
               #
               #   @return [Symbol, :auto, Integer, nil]
               optional :n_epochs,
@@ -474,7 +474,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               #
               # @see OpenAI::Models::FineTuning::JobCreateParams::Method::Dpo::Hyperparameters#batch_size
               module BatchSize
@@ -490,7 +490,7 @@ module BatchSize
               end
 
               # The beta value for the DPO method. A higher beta value will increase the weight
-              #   of the penalty between the policy and reference model.
+              # of the penalty between the policy and reference model.
               #
               # @see OpenAI::Models::FineTuning::JobCreateParams::Method::Dpo::Hyperparameters#beta
               module Beta
@@ -506,7 +506,7 @@ module Beta
               end
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               #
               # @see OpenAI::Models::FineTuning::JobCreateParams::Method::Dpo::Hyperparameters#learning_rate_multiplier
               module LearningRateMultiplier
@@ -522,7 +522,7 @@ module LearningRateMultiplier
               end
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               #
               # @see OpenAI::Models::FineTuning::JobCreateParams::Method::Dpo::Hyperparameters#n_epochs
               module NEpochs
@@ -565,7 +565,7 @@ class Supervised < OpenAI::Internal::Type::BaseModel
             class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # @!attribute [r] batch_size
               #   Number of examples in each batch. A larger batch size means that model
-              #     parameters are updated less frequently, but with lower variance.
+              #   parameters are updated less frequently, but with lower variance.
               #
               #   @return [Symbol, :auto, Integer, nil]
               optional :batch_size,
@@ -577,7 +577,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] learning_rate_multiplier
               #   Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #     avoid overfitting.
+              #   avoid overfitting.
               #
               #   @return [Symbol, :auto, Float, nil]
               optional :learning_rate_multiplier,
@@ -589,7 +589,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
 
               # @!attribute [r] n_epochs
               #   The number of epochs to train the model for. An epoch refers to one full cycle
-              #     through the training dataset.
+              #   through the training dataset.
               #
               #   @return [Symbol, :auto, Integer, nil]
               optional :n_epochs,
@@ -611,7 +611,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               #
               # @see OpenAI::Models::FineTuning::JobCreateParams::Method::Supervised::Hyperparameters#batch_size
               module BatchSize
@@ -627,7 +627,7 @@ module BatchSize
               end
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               #
               # @see OpenAI::Models::FineTuning::JobCreateParams::Method::Supervised::Hyperparameters#learning_rate_multiplier
               module LearningRateMultiplier
@@ -643,7 +643,7 @@ module LearningRateMultiplier
               end
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               #
               # @see OpenAI::Models::FineTuning::JobCreateParams::Method::Supervised::Hyperparameters#n_epochs
               module NEpochs
diff --git a/lib/openai/models/fine_tuning/job_list_params.rb b/lib/openai/models/fine_tuning/job_list_params.rb
index e0ffb31f..1ca2c3a3 100644
--- a/lib/openai/models/fine_tuning/job_list_params.rb
+++ b/lib/openai/models/fine_tuning/job_list_params.rb
@@ -31,7 +31,7 @@ class JobListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute metadata
         #   Optional metadata filter. To filter, use the syntax `metadata[k]=v`.
-        #     Alternatively, set `metadata=null` to indicate no metadata.
+        #   Alternatively, set `metadata=null` to indicate no metadata.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
diff --git a/lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb b/lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb
index 0af58cbe..e32a2926 100644
--- a/lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb
+++ b/lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rb
@@ -50,7 +50,7 @@ class FineTuningJobCheckpoint < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # The `fine_tuning.job.checkpoint` object represents a model checkpoint for a
-          #   #   fine-tuning job that is ready to use.
+          #   # fine-tuning job that is ready to use.
           #   #
           #   # @param id [String]
           #   # @param created_at [Integer]
diff --git a/lib/openai/models/function_definition.rb b/lib/openai/models/function_definition.rb
index e024d931..7bd7f7d5 100644
--- a/lib/openai/models/function_definition.rb
+++ b/lib/openai/models/function_definition.rb
@@ -5,14 +5,14 @@ module Models
     class FunctionDefinition < OpenAI::Internal::Type::BaseModel
       # @!attribute name
       #   The name of the function to be called. Must be a-z, A-Z, 0-9, or contain
-      #     underscores and dashes, with a maximum length of 64.
+      #   underscores and dashes, with a maximum length of 64.
       #
       #   @return [String]
       required :name, String
 
       # @!attribute [r] description
       #   A description of what the function does, used by the model to choose when and
-      #     how to call the function.
+      #   how to call the function.
       #
       #   @return [String, nil]
       optional :description, String
@@ -23,12 +23,12 @@ class FunctionDefinition < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] parameters
       #   The parameters the functions accepts, described as a JSON Schema object. See the
-      #     [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
-      #     and the
-      #     [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
-      #     documentation about the format.
+      #   [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
+      #   and the
+      #   [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
+      #   documentation about the format.
       #
-      #     Omitting `parameters` defines a function with an empty parameter list.
+      #   Omitting `parameters` defines a function with an empty parameter list.
       #
       #   @return [Hash{Symbol=>Object}, nil]
       optional :parameters, OpenAI::Internal::Type::HashOf[OpenAI::Internal::Type::Unknown]
@@ -39,10 +39,10 @@ class FunctionDefinition < OpenAI::Internal::Type::BaseModel
 
       # @!attribute strict
       #   Whether to enable strict schema adherence when generating the function call. If
-      #     set to true, the model will follow the exact schema defined in the `parameters`
-      #     field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn
-      #     more about Structured Outputs in the
-      #     [function calling guide](docs/guides/function-calling).
+      #   set to true, the model will follow the exact schema defined in the `parameters`
+      #   field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn
+      #   more about Structured Outputs in the
+      #   [function calling guide](docs/guides/function-calling).
       #
       #   @return [Boolean, nil]
       optional :strict, OpenAI::Internal::Type::Boolean, nil?: true
diff --git a/lib/openai/models/image.rb b/lib/openai/models/image.rb
index e3842efd..dddf163d 100644
--- a/lib/openai/models/image.rb
+++ b/lib/openai/models/image.rb
@@ -5,7 +5,7 @@ module Models
     class Image < OpenAI::Internal::Type::BaseModel
       # @!attribute [r] b64_json
       #   The base64-encoded JSON of the generated image, if `response_format` is
-      #     `b64_json`.
+      #   `b64_json`.
       #
       #   @return [String, nil]
       optional :b64_json, String
@@ -16,7 +16,7 @@ class Image < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] revised_prompt
       #   The prompt that was used to generate the image, if there was any revision to the
-      #     prompt.
+      #   prompt.
       #
       #   @return [String, nil]
       optional :revised_prompt, String
diff --git a/lib/openai/models/image_create_variation_params.rb b/lib/openai/models/image_create_variation_params.rb
index 06bd032f..a24a9d51 100644
--- a/lib/openai/models/image_create_variation_params.rb
+++ b/lib/openai/models/image_create_variation_params.rb
@@ -10,29 +10,29 @@ class ImageCreateVariationParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute image
       #   The image to use as the basis for the variation(s). Must be a valid PNG file,
-      #     less than 4MB, and square.
+      #   less than 4MB, and square.
       #
       #   @return [IO, StringIO]
       required :image, IO
 
       # @!attribute model
       #   The model to use for image generation. Only `dall-e-2` is supported at this
-      #     time.
+      #   time.
       #
       #   @return [String, Symbol, OpenAI::Models::ImageModel, nil]
       optional :model, union: -> { OpenAI::Models::ImageCreateVariationParams::Model }, nil?: true
 
       # @!attribute n
       #   The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
-      #     `n=1` is supported.
+      #   `n=1` is supported.
       #
       #   @return [Integer, nil]
       optional :n, Integer, nil?: true
 
       # @!attribute response_format
       #   The format in which the generated images are returned. Must be one of `url` or
-      #     `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #     generated.
+      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
+      #   generated.
       #
       #   @return [Symbol, OpenAI::Models::ImageCreateVariationParams::ResponseFormat, nil]
       optional :response_format,
@@ -41,15 +41,15 @@ class ImageCreateVariationParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute size
       #   The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #     `1024x1024`.
+      #   `1024x1024`.
       #
       #   @return [Symbol, OpenAI::Models::ImageCreateVariationParams::Size, nil]
       optional :size, enum: -> { OpenAI::Models::ImageCreateVariationParams::Size }, nil?: true
 
       # @!attribute [r] user
       #   A unique identifier representing your end-user, which can help OpenAI to monitor
-      #     and detect abuse.
-      #     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      #   and detect abuse.
+      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       #
       #   @return [String, nil]
       optional :user, String
@@ -72,7 +72,7 @@ class ImageCreateVariationParams < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # The model to use for image generation. Only `dall-e-2` is supported at this
-      #   time.
+      # time.
       module Model
         extend OpenAI::Internal::Type::Union
 
@@ -87,8 +87,8 @@ module Model
       end
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       module ResponseFormat
         extend OpenAI::Internal::Type::Enum
 
@@ -103,7 +103,7 @@ module ResponseFormat
       end
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024`.
+      # `1024x1024`.
       module Size
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/image_edit_params.rb b/lib/openai/models/image_edit_params.rb
index 43a5120c..0a0c78c4 100644
--- a/lib/openai/models/image_edit_params.rb
+++ b/lib/openai/models/image_edit_params.rb
@@ -10,22 +10,22 @@ class ImageEditParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute image
       #   The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask
-      #     is not provided, image must have transparency, which will be used as the mask.
+      #   is not provided, image must have transparency, which will be used as the mask.
       #
       #   @return [IO, StringIO]
       required :image, IO
 
       # @!attribute prompt
       #   A text description of the desired image(s). The maximum length is 1000
-      #     characters.
+      #   characters.
       #
       #   @return [String]
       required :prompt, String
 
       # @!attribute [r] mask
       #   An additional image whose fully transparent areas (e.g. where alpha is zero)
-      #     indicate where `image` should be edited. Must be a valid PNG file, less than
-      #     4MB, and have the same dimensions as `image`.
+      #   indicate where `image` should be edited. Must be a valid PNG file, less than
+      #   4MB, and have the same dimensions as `image`.
       #
       #   @return [IO, StringIO, nil]
       optional :mask, IO
@@ -36,7 +36,7 @@ class ImageEditParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute model
       #   The model to use for image generation. Only `dall-e-2` is supported at this
-      #     time.
+      #   time.
       #
       #   @return [String, Symbol, OpenAI::Models::ImageModel, nil]
       optional :model, union: -> { OpenAI::Models::ImageEditParams::Model }, nil?: true
@@ -49,23 +49,23 @@ class ImageEditParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute response_format
       #   The format in which the generated images are returned. Must be one of `url` or
-      #     `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #     generated.
+      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
+      #   generated.
       #
       #   @return [Symbol, OpenAI::Models::ImageEditParams::ResponseFormat, nil]
       optional :response_format, enum: -> { OpenAI::Models::ImageEditParams::ResponseFormat }, nil?: true
 
       # @!attribute size
       #   The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #     `1024x1024`.
+      #   `1024x1024`.
       #
       #   @return [Symbol, OpenAI::Models::ImageEditParams::Size, nil]
       optional :size, enum: -> { OpenAI::Models::ImageEditParams::Size }, nil?: true
 
       # @!attribute [r] user
       #   A unique identifier representing your end-user, which can help OpenAI to monitor
-      #     and detect abuse.
-      #     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      #   and detect abuse.
+      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       #
       #   @return [String, nil]
       optional :user, String
@@ -103,7 +103,7 @@ class ImageEditParams < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # The model to use for image generation. Only `dall-e-2` is supported at this
-      #   time.
+      # time.
       module Model
         extend OpenAI::Internal::Type::Union
 
@@ -118,8 +118,8 @@ module Model
       end
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       module ResponseFormat
         extend OpenAI::Internal::Type::Enum
 
@@ -134,7 +134,7 @@ module ResponseFormat
       end
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024`.
+      # `1024x1024`.
       module Size
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/image_generate_params.rb b/lib/openai/models/image_generate_params.rb
index 30a2eaa3..bce729c4 100644
--- a/lib/openai/models/image_generate_params.rb
+++ b/lib/openai/models/image_generate_params.rb
@@ -10,7 +10,7 @@ class ImageGenerateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute prompt
       #   A text description of the desired image(s). The maximum length is 1000
-      #     characters for `dall-e-2` and 4000 characters for `dall-e-3`.
+      #   characters for `dall-e-2` and 4000 characters for `dall-e-3`.
       #
       #   @return [String]
       required :prompt, String
@@ -23,15 +23,15 @@ class ImageGenerateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute n
       #   The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
-      #     `n=1` is supported.
+      #   `n=1` is supported.
       #
       #   @return [Integer, nil]
       optional :n, Integer, nil?: true
 
       # @!attribute [r] quality
       #   The quality of the image that will be generated. `hd` creates images with finer
-      #     details and greater consistency across the image. This param is only supported
-      #     for `dall-e-3`.
+      #   details and greater consistency across the image. This param is only supported
+      #   for `dall-e-3`.
       #
       #   @return [Symbol, OpenAI::Models::ImageGenerateParams::Quality, nil]
       optional :quality, enum: -> { OpenAI::Models::ImageGenerateParams::Quality }
@@ -42,33 +42,33 @@ class ImageGenerateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute response_format
       #   The format in which the generated images are returned. Must be one of `url` or
-      #     `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #     generated.
+      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
+      #   generated.
       #
       #   @return [Symbol, OpenAI::Models::ImageGenerateParams::ResponseFormat, nil]
       optional :response_format, enum: -> { OpenAI::Models::ImageGenerateParams::ResponseFormat }, nil?: true
 
       # @!attribute size
       #   The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #     `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
-      #     `1024x1792` for `dall-e-3` models.
+      #   `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
+      #   `1024x1792` for `dall-e-3` models.
       #
       #   @return [Symbol, OpenAI::Models::ImageGenerateParams::Size, nil]
       optional :size, enum: -> { OpenAI::Models::ImageGenerateParams::Size }, nil?: true
 
       # @!attribute style
       #   The style of the generated images. Must be one of `vivid` or `natural`. Vivid
-      #     causes the model to lean towards generating hyper-real and dramatic images.
-      #     Natural causes the model to produce more natural, less hyper-real looking
-      #     images. This param is only supported for `dall-e-3`.
+      #   causes the model to lean towards generating hyper-real and dramatic images.
+      #   Natural causes the model to produce more natural, less hyper-real looking
+      #   images. This param is only supported for `dall-e-3`.
       #
       #   @return [Symbol, OpenAI::Models::ImageGenerateParams::Style, nil]
       optional :style, enum: -> { OpenAI::Models::ImageGenerateParams::Style }, nil?: true
 
       # @!attribute [r] user
       #   A unique identifier representing your end-user, which can help OpenAI to monitor
-      #     and detect abuse.
-      #     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      #   and detect abuse.
+      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       #
       #   @return [String, nil]
       optional :user, String
@@ -120,8 +120,8 @@ module Model
       end
 
       # The quality of the image that will be generated. `hd` creates images with finer
-      #   details and greater consistency across the image. This param is only supported
-      #   for `dall-e-3`.
+      # details and greater consistency across the image. This param is only supported
+      # for `dall-e-3`.
       module Quality
         extend OpenAI::Internal::Type::Enum
 
@@ -136,8 +136,8 @@ module Quality
       end
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       module ResponseFormat
         extend OpenAI::Internal::Type::Enum
 
@@ -152,8 +152,8 @@ module ResponseFormat
       end
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
-      #   `1024x1792` for `dall-e-3` models.
+      # `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
+      # `1024x1792` for `dall-e-3` models.
       module Size
         extend OpenAI::Internal::Type::Enum
 
@@ -171,9 +171,9 @@ module Size
       end
 
       # The style of the generated images. Must be one of `vivid` or `natural`. Vivid
-      #   causes the model to lean towards generating hyper-real and dramatic images.
-      #   Natural causes the model to produce more natural, less hyper-real looking
-      #   images. This param is only supported for `dall-e-3`.
+      # causes the model to lean towards generating hyper-real and dramatic images.
+      # Natural causes the model to produce more natural, less hyper-real looking
+      # images. This param is only supported for `dall-e-3`.
       module Style
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/moderation.rb b/lib/openai/models/moderation.rb
index 4fd434ab..6abb069c 100644
--- a/lib/openai/models/moderation.rb
+++ b/lib/openai/models/moderation.rb
@@ -41,77 +41,77 @@ class Moderation < OpenAI::Internal::Type::BaseModel
       class Categories < OpenAI::Internal::Type::BaseModel
         # @!attribute harassment
         #   Content that expresses, incites, or promotes harassing language towards any
-        #     target.
+        #   target.
         #
         #   @return [Boolean]
         required :harassment, OpenAI::Internal::Type::Boolean
 
         # @!attribute harassment_threatening
         #   Harassment content that also includes violence or serious harm towards any
-        #     target.
+        #   target.
         #
         #   @return [Boolean]
         required :harassment_threatening, OpenAI::Internal::Type::Boolean, api_name: :"harassment/threatening"
 
         # @!attribute hate
         #   Content that expresses, incites, or promotes hate based on race, gender,
-        #     ethnicity, religion, nationality, sexual orientation, disability status, or
-        #     caste. Hateful content aimed at non-protected groups (e.g., chess players) is
-        #     harassment.
+        #   ethnicity, religion, nationality, sexual orientation, disability status, or
+        #   caste. Hateful content aimed at non-protected groups (e.g., chess players) is
+        #   harassment.
         #
         #   @return [Boolean]
         required :hate, OpenAI::Internal::Type::Boolean
 
         # @!attribute hate_threatening
         #   Hateful content that also includes violence or serious harm towards the targeted
-        #     group based on race, gender, ethnicity, religion, nationality, sexual
-        #     orientation, disability status, or caste.
+        #   group based on race, gender, ethnicity, religion, nationality, sexual
+        #   orientation, disability status, or caste.
         #
         #   @return [Boolean]
         required :hate_threatening, OpenAI::Internal::Type::Boolean, api_name: :"hate/threatening"
 
         # @!attribute illicit
         #   Content that includes instructions or advice that facilitate the planning or
-        #     execution of wrongdoing, or that gives advice or instruction on how to commit
-        #     illicit acts. For example, "how to shoplift" would fit this category.
+        #   execution of wrongdoing, or that gives advice or instruction on how to commit
+        #   illicit acts. For example, "how to shoplift" would fit this category.
         #
         #   @return [Boolean, nil]
         required :illicit, OpenAI::Internal::Type::Boolean, nil?: true
 
         # @!attribute illicit_violent
         #   Content that includes instructions or advice that facilitate the planning or
-        #     execution of wrongdoing that also includes violence, or that gives advice or
-        #     instruction on the procurement of any weapon.
+        #   execution of wrongdoing that also includes violence, or that gives advice or
+        #   instruction on the procurement of any weapon.
         #
         #   @return [Boolean, nil]
         required :illicit_violent, OpenAI::Internal::Type::Boolean, api_name: :"illicit/violent", nil?: true
 
         # @!attribute self_harm
         #   Content that promotes, encourages, or depicts acts of self-harm, such as
-        #     suicide, cutting, and eating disorders.
+        #   suicide, cutting, and eating disorders.
         #
         #   @return [Boolean]
         required :self_harm, OpenAI::Internal::Type::Boolean, api_name: :"self-harm"
 
         # @!attribute self_harm_instructions
         #   Content that encourages performing acts of self-harm, such as suicide, cutting,
-        #     and eating disorders, or that gives instructions or advice on how to commit such
-        #     acts.
+        #   and eating disorders, or that gives instructions or advice on how to commit such
+        #   acts.
         #
         #   @return [Boolean]
         required :self_harm_instructions, OpenAI::Internal::Type::Boolean, api_name: :"self-harm/instructions"
 
         # @!attribute self_harm_intent
         #   Content where the speaker expresses that they are engaging or intend to engage
-        #     in acts of self-harm, such as suicide, cutting, and eating disorders.
+        #   in acts of self-harm, such as suicide, cutting, and eating disorders.
         #
         #   @return [Boolean]
         required :self_harm_intent, OpenAI::Internal::Type::Boolean, api_name: :"self-harm/intent"
 
         # @!attribute sexual
         #   Content meant to arouse sexual excitement, such as the description of sexual
-        #     activity, or that promotes sexual services (excluding sex education and
-        #     wellness).
+        #   activity, or that promotes sexual services (excluding sex education and
+        #   wellness).
         #
         #   @return [Boolean]
         required :sexual, OpenAI::Internal::Type::Boolean
diff --git a/lib/openai/models/moderation_create_params.rb b/lib/openai/models/moderation_create_params.rb
index c5e3ff4a..41230634 100644
--- a/lib/openai/models/moderation_create_params.rb
+++ b/lib/openai/models/moderation_create_params.rb
@@ -10,16 +10,16 @@ class ModerationCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute input
       #   Input (or inputs) to classify. Can be a single string, an array of strings, or
-      #     an array of multi-modal input objects similar to other models.
+      #   an array of multi-modal input objects similar to other models.
       #
       #   @return [String, Array<String>, Array<OpenAI::Models::ModerationImageURLInput, OpenAI::Models::ModerationTextInput>]
       required :input, union: -> { OpenAI::Models::ModerationCreateParams::Input }
 
       # @!attribute [r] model
       #   The content moderation model you would like to use. Learn more in
-      #     [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
-      #     learn about available models
-      #     [here](https://platform.openai.com/docs/models#moderation).
+      #   [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
+      #   learn about available models
+      #   [here](https://platform.openai.com/docs/models#moderation).
       #
       #   @return [String, Symbol, OpenAI::Models::ModerationModel, nil]
       optional :model, union: -> { OpenAI::Models::ModerationCreateParams::Model }
@@ -38,7 +38,7 @@ class ModerationCreateParams < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # Input (or inputs) to classify. Can be a single string, an array of strings, or
-      #   an array of multi-modal input objects similar to other models.
+      # an array of multi-modal input objects similar to other models.
       module Input
         extend OpenAI::Internal::Type::Union
 
@@ -62,9 +62,9 @@ module Input
       end
 
       # The content moderation model you would like to use. Learn more in
-      #   [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
-      #   learn about available models
-      #   [here](https://platform.openai.com/docs/models#moderation).
+      # [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
+      # learn about available models
+      # [here](https://platform.openai.com/docs/models#moderation).
       module Model
         extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/other_file_chunking_strategy_object.rb b/lib/openai/models/other_file_chunking_strategy_object.rb
index 9b28e285..acb54ef8 100644
--- a/lib/openai/models/other_file_chunking_strategy_object.rb
+++ b/lib/openai/models/other_file_chunking_strategy_object.rb
@@ -11,8 +11,8 @@ class OtherFileChunkingStrategyObject < OpenAI::Internal::Type::BaseModel
 
       # @!parse
       #   # This is returned when the chunking strategy is unknown. Typically, this is
-      #   #   because the file was indexed before the `chunking_strategy` concept was
-      #   #   introduced in the API.
+      #   # because the file was indexed before the `chunking_strategy` concept was
+      #   # introduced in the API.
       #   #
       #   # @param type [Symbol, :other]
       #   #
diff --git a/lib/openai/models/reasoning.rb b/lib/openai/models/reasoning.rb
index 0727d5c1..25128ce1 100644
--- a/lib/openai/models/reasoning.rb
+++ b/lib/openai/models/reasoning.rb
@@ -6,10 +6,10 @@ class Reasoning < OpenAI::Internal::Type::BaseModel
       # @!attribute effort
       #   **o-series models only**
       #
-      #     Constrains effort on reasoning for
-      #     [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-      #     supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-      #     result in faster responses and fewer tokens used on reasoning in a response.
+      #   Constrains effort on reasoning for
+      #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+      #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+      #   result in faster responses and fewer tokens used on reasoning in a response.
       #
       #   @return [Symbol, OpenAI::Models::ReasoningEffort, nil]
       optional :effort, enum: -> { OpenAI::Models::ReasoningEffort }, nil?: true
@@ -17,9 +17,9 @@ class Reasoning < OpenAI::Internal::Type::BaseModel
       # @!attribute generate_summary
       #   **computer_use_preview only**
       #
-      #     A summary of the reasoning performed by the model. This can be useful for
-      #     debugging and understanding the model's reasoning process. One of `concise` or
-      #     `detailed`.
+      #   A summary of the reasoning performed by the model. This can be useful for
+      #   debugging and understanding the model's reasoning process. One of `concise` or
+      #   `detailed`.
       #
       #   @return [Symbol, OpenAI::Models::Reasoning::GenerateSummary, nil]
       optional :generate_summary, enum: -> { OpenAI::Models::Reasoning::GenerateSummary }, nil?: true
@@ -27,8 +27,8 @@ class Reasoning < OpenAI::Internal::Type::BaseModel
       # @!parse
       #   # **o-series models only**
       #   #
-      #   #   Configuration options for
-      #   #   [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+      #   # Configuration options for
+      #   # [reasoning models](https://platform.openai.com/docs/guides/reasoning).
       #   #
       #   # @param effort [Symbol, OpenAI::Models::ReasoningEffort, nil]
       #   # @param generate_summary [Symbol, OpenAI::Models::Reasoning::GenerateSummary, nil]
@@ -39,9 +39,9 @@ class Reasoning < OpenAI::Internal::Type::BaseModel
 
       # **computer_use_preview only**
       #
-      #   A summary of the reasoning performed by the model. This can be useful for
-      #   debugging and understanding the model's reasoning process. One of `concise` or
-      #   `detailed`.
+      # A summary of the reasoning performed by the model. This can be useful for
+      # debugging and understanding the model's reasoning process. One of `concise` or
+      # `detailed`.
       #
       # @see OpenAI::Models::Reasoning#generate_summary
       module GenerateSummary
diff --git a/lib/openai/models/reasoning_effort.rb b/lib/openai/models/reasoning_effort.rb
index 737f9d5f..a7bb035e 100644
--- a/lib/openai/models/reasoning_effort.rb
+++ b/lib/openai/models/reasoning_effort.rb
@@ -4,10 +4,10 @@ module OpenAI
   module Models
     # **o-series models only**
     #
-    #   Constrains effort on reasoning for
-    #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-    #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-    #   result in faster responses and fewer tokens used on reasoning in a response.
+    # Constrains effort on reasoning for
+    # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+    # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+    # result in faster responses and fewer tokens used on reasoning in a response.
     module ReasoningEffort
       extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/response_format_json_object.rb b/lib/openai/models/response_format_json_object.rb
index bcd20439..611237a3 100644
--- a/lib/openai/models/response_format_json_object.rb
+++ b/lib/openai/models/response_format_json_object.rb
@@ -11,8 +11,8 @@ class ResponseFormatJSONObject < OpenAI::Internal::Type::BaseModel
 
       # @!parse
       #   # JSON object response format. An older method of generating JSON responses. Using
-      #   #   `json_schema` is recommended for models that support it. Note that the model
-      #   #   will not generate JSON without a system or user message instructing it to do so.
+      #   # `json_schema` is recommended for models that support it. Note that the model
+      #   # will not generate JSON without a system or user message instructing it to do so.
       #   #
       #   # @param type [Symbol, :json_object]
       #   #
diff --git a/lib/openai/models/response_format_json_schema.rb b/lib/openai/models/response_format_json_schema.rb
index 0bb1f00c..56f2e3b1 100644
--- a/lib/openai/models/response_format_json_schema.rb
+++ b/lib/openai/models/response_format_json_schema.rb
@@ -17,8 +17,8 @@ class ResponseFormatJSONSchema < OpenAI::Internal::Type::BaseModel
 
       # @!parse
       #   # JSON Schema response format. Used to generate structured JSON responses. Learn
-      #   #   more about
-      #   #   [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
+      #   # more about
+      #   # [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
       #   #
       #   # @param json_schema [OpenAI::Models::ResponseFormatJSONSchema::JSONSchema]
       #   # @param type [Symbol, :json_schema]
@@ -31,14 +31,14 @@ class ResponseFormatJSONSchema < OpenAI::Internal::Type::BaseModel
       class JSONSchema < OpenAI::Internal::Type::BaseModel
         # @!attribute name
         #   The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores
-        #     and dashes, with a maximum length of 64.
+        #   and dashes, with a maximum length of 64.
         #
         #   @return [String]
         required :name, String
 
         # @!attribute [r] description
         #   A description of what the response format is for, used by the model to determine
-        #     how to respond in the format.
+        #   how to respond in the format.
         #
         #   @return [String, nil]
         optional :description, String
@@ -49,7 +49,7 @@ class JSONSchema < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] schema
         #   The schema for the response format, described as a JSON Schema object. Learn how
-        #     to build JSON schemas [here](https://json-schema.org/).
+        #   to build JSON schemas [here](https://json-schema.org/).
         #
         #   @return [Hash{Symbol=>Object}, nil]
         optional :schema, OpenAI::Internal::Type::HashOf[OpenAI::Internal::Type::Unknown]
@@ -60,10 +60,10 @@ class JSONSchema < OpenAI::Internal::Type::BaseModel
 
         # @!attribute strict
         #   Whether to enable strict schema adherence when generating the output. If set to
-        #     true, the model will always follow the exact schema defined in the `schema`
-        #     field. Only a subset of JSON Schema is supported when `strict` is `true`. To
-        #     learn more, read the
-        #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        #   true, the model will always follow the exact schema defined in the `schema`
+        #   field. Only a subset of JSON Schema is supported when `strict` is `true`. To
+        #   learn more, read the
+        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
         #   @return [Boolean, nil]
         optional :strict, OpenAI::Internal::Type::Boolean, nil?: true
diff --git a/lib/openai/models/responses/computer_tool.rb b/lib/openai/models/responses/computer_tool.rb
index dcbbba28..3af1eabe 100644
--- a/lib/openai/models/responses/computer_tool.rb
+++ b/lib/openai/models/responses/computer_tool.rb
@@ -30,7 +30,7 @@ class ComputerTool < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # A tool that controls a virtual computer. Learn more about the
-        #   #   [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
+        #   # [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
         #   #
         #   # @param display_height [Float]
         #   # @param display_width [Float]
diff --git a/lib/openai/models/responses/easy_input_message.rb b/lib/openai/models/responses/easy_input_message.rb
index d7c78f66..68cbd033 100644
--- a/lib/openai/models/responses/easy_input_message.rb
+++ b/lib/openai/models/responses/easy_input_message.rb
@@ -6,14 +6,14 @@ module Responses
       class EasyInputMessage < OpenAI::Internal::Type::BaseModel
         # @!attribute content
         #   Text, image, or audio input to the model, used to generate a response. Can also
-        #     contain previous assistant responses.
+        #   contain previous assistant responses.
         #
         #   @return [String, Array<OpenAI::Models::Responses::ResponseInputText, OpenAI::Models::Responses::ResponseInputImage, OpenAI::Models::Responses::ResponseInputFile>]
         required :content, union: -> { OpenAI::Models::Responses::EasyInputMessage::Content }
 
         # @!attribute role
         #   The role of the message input. One of `user`, `assistant`, `system`, or
-        #     `developer`.
+        #   `developer`.
         #
         #   @return [Symbol, OpenAI::Models::Responses::EasyInputMessage::Role]
         required :role, enum: -> { OpenAI::Models::Responses::EasyInputMessage::Role }
@@ -30,10 +30,10 @@ class EasyInputMessage < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # 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.
+        #   # 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, Array<OpenAI::Models::Responses::ResponseInputText, OpenAI::Models::Responses::ResponseInputImage, OpenAI::Models::Responses::ResponseInputFile>]
         #   # @param role [Symbol, OpenAI::Models::Responses::EasyInputMessage::Role]
@@ -44,7 +44,7 @@ class EasyInputMessage < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # Text, image, or audio input to the model, used to generate a response. Can also
-        #   contain previous assistant responses.
+        # contain previous assistant responses.
         #
         # @see OpenAI::Models::Responses::EasyInputMessage#content
         module Content
@@ -63,7 +63,7 @@ module Content
         end
 
         # The role of the message input. One of `user`, `assistant`, `system`, or
-        #   `developer`.
+        # `developer`.
         #
         # @see OpenAI::Models::Responses::EasyInputMessage#role
         module Role
diff --git a/lib/openai/models/responses/file_search_tool.rb b/lib/openai/models/responses/file_search_tool.rb
index 62d497ad..8fd1295e 100644
--- a/lib/openai/models/responses/file_search_tool.rb
+++ b/lib/openai/models/responses/file_search_tool.rb
@@ -28,7 +28,7 @@ class FileSearchTool < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] max_num_results
         #   The maximum number of results to return. This number should be between 1 and 50
-        #     inclusive.
+        #   inclusive.
         #
         #   @return [Integer, nil]
         optional :max_num_results, Integer
@@ -49,8 +49,8 @@ class FileSearchTool < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # A tool that searches for relevant content from uploaded files. Learn more about
-        #   #   the
-        #   #   [file search tool](https://platform.openai.com/docs/guides/tools-file-search).
+        #   # the
+        #   # [file search tool](https://platform.openai.com/docs/guides/tools-file-search).
         #   #
         #   # @param vector_store_ids [Array<String>]
         #   # @param filters [OpenAI::Models::ComparisonFilter, OpenAI::Models::CompoundFilter]
@@ -93,8 +93,8 @@ class RankingOptions < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] score_threshold
           #   The score threshold for the file search, a number between 0 and 1. Numbers
-          #     closer to 1 will attempt to return only the most relevant results, but may
-          #     return fewer results.
+          #   closer to 1 will attempt to return only the most relevant results, but may
+          #   return fewer results.
           #
           #   @return [Float, nil]
           optional :score_threshold, Float
diff --git a/lib/openai/models/responses/function_tool.rb b/lib/openai/models/responses/function_tool.rb
index 596b365a..8b2433dc 100644
--- a/lib/openai/models/responses/function_tool.rb
+++ b/lib/openai/models/responses/function_tool.rb
@@ -30,15 +30,15 @@ class FunctionTool < OpenAI::Internal::Type::BaseModel
 
         # @!attribute description
         #   A description of the function. Used by the model to determine whether or not to
-        #     call the function.
+        #   call the function.
         #
         #   @return [String, nil]
         optional :description, String, nil?: true
 
         # @!parse
         #   # Defines a function in your own code the model can choose to call. Learn more
-        #   #   about
-        #   #   [function calling](https://platform.openai.com/docs/guides/function-calling).
+        #   # about
+        #   # [function calling](https://platform.openai.com/docs/guides/function-calling).
         #   #
         #   # @param name [String]
         #   # @param parameters [Hash{Symbol=>Object}]
diff --git a/lib/openai/models/responses/input_item_list_params.rb b/lib/openai/models/responses/input_item_list_params.rb
index a6a7a77f..7a4d136a 100644
--- a/lib/openai/models/responses/input_item_list_params.rb
+++ b/lib/openai/models/responses/input_item_list_params.rb
@@ -31,7 +31,7 @@ class InputItemListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] include
         #   Additional fields to include in the response. See the `include` parameter for
-        #     Response creation above for more information.
+        #   Response creation above for more information.
         #
         #   @return [Array<Symbol, OpenAI::Models::Responses::ResponseIncludable>, nil]
         optional :include,
@@ -43,7 +43,7 @@ class InputItemListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] limit
         #   A limit on the number of objects to be returned. Limit can range between 1 and
-        #     100, and the default is 20.
+        #   100, and the default is 20.
         #
         #   @return [Integer, nil]
         optional :limit, Integer
@@ -55,8 +55,8 @@ class InputItemListParams < OpenAI::Internal::Type::BaseModel
         # @!attribute [r] order
         #   The order to return the input items in. Default is `asc`.
         #
-        #     - `asc`: Return the input items in ascending order.
-        #     - `desc`: Return the input items in descending order.
+        #   - `asc`: Return the input items in ascending order.
+        #   - `desc`: Return the input items in descending order.
         #
         #   @return [Symbol, OpenAI::Models::Responses::InputItemListParams::Order, nil]
         optional :order, enum: -> { OpenAI::Models::Responses::InputItemListParams::Order }
@@ -79,8 +79,8 @@ class InputItemListParams < OpenAI::Internal::Type::BaseModel
 
         # The order to return the input items in. Default is `asc`.
         #
-        #   - `asc`: Return the input items in ascending order.
-        #   - `desc`: Return the input items in descending order.
+        # - `asc`: Return the input items in ascending order.
+        # - `desc`: Return the input items in descending order.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/responses/response.rb b/lib/openai/models/responses/response.rb
index 844833f7..052c32f9 100644
--- a/lib/openai/models/responses/response.rb
+++ b/lib/openai/models/responses/response.rb
@@ -33,32 +33,32 @@ class Response < OpenAI::Internal::Type::BaseModel
 
         # @!attribute instructions
         #   Inserts a system (or developer) message as the first item in the model's
-        #     context.
+        #   context.
         #
-        #     When using along with `previous_response_id`, the instructions from a previous
-        #     response will not be carried over to the next response. This makes it simple to
-        #     swap out system (or developer) messages in new responses.
+        #   When using along with `previous_response_id`, the instructions from a previous
+        #   response will not be carried over to the next response. This makes it simple to
+        #   swap out system (or developer) messages in new responses.
         #
         #   @return [String, nil]
         required :instructions, String, nil?: true
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
 
         # @!attribute model
         #   Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #     wide range of models with different capabilities, performance characteristics,
-        #     and price points. Refer to the
-        #     [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #     available models.
+        #   wide range of models with different capabilities, performance characteristics,
+        #   and price points. Refer to the
+        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
+        #   available models.
         #
         #   @return [String, Symbol, OpenAI::Models::ChatModel, OpenAI::Models::ResponsesModel]
         required :model, union: -> { OpenAI::Models::ResponsesModel }
@@ -72,11 +72,11 @@ class Response < OpenAI::Internal::Type::BaseModel
         # @!attribute output
         #   An array of content items generated by the model.
         #
-        #     - The length and order of items in the `output` array is dependent on the
-        #       model's response.
-        #     - Rather than accessing the first item in the `output` array and assuming it's
-        #       an `assistant` message with the content generated by the model, you might
-        #       consider using the `output_text` property where supported in SDKs.
+        #   - The length and order of items in the `output` array is dependent on the
+        #     model's response.
+        #   - Rather than accessing the first item in the `output` array and assuming it's
+        #     an `assistant` message with the content generated by the model, you might
+        #     consider using the `output_text` property where supported in SDKs.
         #
         #   @return [Array<OpenAI::Models::Responses::ResponseOutputMessage, OpenAI::Models::Responses::ResponseFileSearchToolCall, OpenAI::Models::Responses::ResponseFunctionToolCall, OpenAI::Models::Responses::ResponseFunctionWebSearch, OpenAI::Models::Responses::ResponseComputerToolCall, OpenAI::Models::Responses::ResponseReasoningItem>]
         required :output,
@@ -90,62 +90,62 @@ class Response < OpenAI::Internal::Type::BaseModel
 
         # @!attribute temperature
         #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #     make the output more random, while lower values like 0.2 will make it more
-        #     focused and deterministic. We generally recommend altering this or `top_p` but
-        #     not both.
+        #   make the output more random, while lower values like 0.2 will make it more
+        #   focused and deterministic. We generally recommend altering this or `top_p` but
+        #   not both.
         #
         #   @return [Float, nil]
         required :temperature, Float, nil?: true
 
         # @!attribute tool_choice
         #   How the model should select which tool (or tools) to use when generating a
-        #     response. See the `tools` parameter to see how to specify which tools the model
-        #     can call.
+        #   response. See the `tools` parameter to see how to specify which tools the model
+        #   can call.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ToolChoiceOptions, OpenAI::Models::Responses::ToolChoiceTypes, OpenAI::Models::Responses::ToolChoiceFunction]
         required :tool_choice, union: -> { OpenAI::Models::Responses::Response::ToolChoice }
 
         # @!attribute tools
         #   An array of tools the model may call while generating a response. You can
-        #     specify which tool to use by setting the `tool_choice` parameter.
+        #   specify which tool to use by setting the `tool_choice` parameter.
         #
-        #     The two categories of tools you can provide the model are:
+        #   The two categories of tools you can provide the model are:
         #
-        #     - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
-        #       capabilities, like
-        #       [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-        #       [file search](https://platform.openai.com/docs/guides/tools-file-search).
-        #       Learn more about
-        #       [built-in tools](https://platform.openai.com/docs/guides/tools).
-        #     - **Function calls (custom tools)**: Functions that are defined by you, enabling
-        #       the model to call your own code. Learn more about
-        #       [function calling](https://platform.openai.com/docs/guides/function-calling).
+        #   - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+        #     capabilities, like
+        #     [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+        #     [file search](https://platform.openai.com/docs/guides/tools-file-search).
+        #     Learn more about
+        #     [built-in tools](https://platform.openai.com/docs/guides/tools).
+        #   - **Function calls (custom tools)**: Functions that are defined by you, enabling
+        #     the model to call your own code. Learn more about
+        #     [function calling](https://platform.openai.com/docs/guides/function-calling).
         #
         #   @return [Array<OpenAI::Models::Responses::FileSearchTool, OpenAI::Models::Responses::FunctionTool, OpenAI::Models::Responses::ComputerTool, OpenAI::Models::Responses::WebSearchTool>]
         required :tools, -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::Responses::Tool] }
 
         # @!attribute top_p
         #   An alternative to sampling with temperature, called nucleus sampling, where the
-        #     model considers the results of the tokens with top_p probability mass. So 0.1
-        #     means only the tokens comprising the top 10% probability mass are considered.
+        #   model considers the results of the tokens with top_p probability mass. So 0.1
+        #   means only the tokens comprising the top 10% probability mass are considered.
         #
-        #     We generally recommend altering this or `temperature` but not both.
+        #   We generally recommend altering this or `temperature` but not both.
         #
         #   @return [Float, nil]
         required :top_p, Float, nil?: true
 
         # @!attribute max_output_tokens
         #   An upper bound for the number of tokens that can be generated for a response,
-        #     including visible output tokens and
-        #     [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+        #   including visible output tokens and
+        #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
         #
         #   @return [Integer, nil]
         optional :max_output_tokens, Integer, nil?: true
 
         # @!attribute previous_response_id
         #   The unique ID of the previous response to the model. Use this to create
-        #     multi-turn conversations. Learn more about
-        #     [conversation state](https://platform.openai.com/docs/guides/conversation-state).
+        #   multi-turn conversations. Learn more about
+        #   [conversation state](https://platform.openai.com/docs/guides/conversation-state).
         #
         #   @return [String, nil]
         optional :previous_response_id, String, nil?: true
@@ -153,15 +153,15 @@ class Response < OpenAI::Internal::Type::BaseModel
         # @!attribute reasoning
         #   **o-series models only**
         #
-        #     Configuration options for
-        #     [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+        #   Configuration options for
+        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning).
         #
         #   @return [OpenAI::Models::Reasoning, nil]
         optional :reasoning, -> { OpenAI::Models::Reasoning }, nil?: true
 
         # @!attribute [r] status
         #   The status of the response generation. One of `completed`, `failed`,
-        #     `in_progress`, or `incomplete`.
+        #   `in_progress`, or `incomplete`.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseStatus, nil]
         optional :status, enum: -> { OpenAI::Models::Responses::ResponseStatus }
@@ -172,10 +172,10 @@ class Response < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] text
         #   Configuration options for a text response from the model. Can be plain text or
-        #     structured JSON data. Learn more:
+        #   structured JSON data. Learn more:
         #
-        #     - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #     - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        #   - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
         #
         #   @return [OpenAI::Models::Responses::ResponseTextConfig, nil]
         optional :text, -> { OpenAI::Models::Responses::ResponseTextConfig }
@@ -187,18 +187,18 @@ class Response < OpenAI::Internal::Type::BaseModel
         # @!attribute truncation
         #   The truncation strategy to use for the model response.
         #
-        #     - `auto`: If the context of this response and previous ones exceeds the model's
-        #       context window size, the model will truncate the response to fit the context
-        #       window by dropping input items in the middle of the conversation.
-        #     - `disabled` (default): If a model response will exceed the context window size
-        #       for a model, the request will fail with a 400 error.
+        #   - `auto`: If the context of this response and previous ones exceeds the model's
+        #     context window size, the model will truncate the response to fit the context
+        #     window by dropping input items in the middle of the conversation.
+        #   - `disabled` (default): If a model response will exceed the context window size
+        #     for a model, the request will fail with a 400 error.
         #
         #   @return [Symbol, OpenAI::Models::Responses::Response::Truncation, nil]
         optional :truncation, enum: -> { OpenAI::Models::Responses::Response::Truncation }, nil?: true
 
         # @!attribute [r] usage
         #   Represents token usage details including input tokens, output tokens, a
-        #     breakdown of output tokens, and the total tokens used.
+        #   breakdown of output tokens, and the total tokens used.
         #
         #   @return [OpenAI::Models::Responses::ResponseUsage, nil]
         optional :usage, -> { OpenAI::Models::Responses::ResponseUsage }
@@ -209,8 +209,8 @@ class Response < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] user
         #   A unique identifier representing your end-user, which can help OpenAI to monitor
-        #     and detect abuse.
-        #     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        #   and detect abuse.
+        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         #
         #   @return [String, nil]
         optional :user, String
@@ -312,8 +312,8 @@ module Reason
         end
 
         # How the model should select which tool (or tools) to use when generating a
-        #   response. See the `tools` parameter to see how to specify which tools the model
-        #   can call.
+        # response. See the `tools` parameter to see how to specify which tools the model
+        # can call.
         #
         # @see OpenAI::Models::Responses::Response#tool_choice
         module ToolChoice
@@ -343,11 +343,11 @@ module ToolChoice
 
         # The truncation strategy to use for the model response.
         #
-        #   - `auto`: If the context of this response and previous ones exceeds the model's
-        #     context window size, the model will truncate the response to fit the context
-        #     window by dropping input items in the middle of the conversation.
-        #   - `disabled` (default): If a model response will exceed the context window size
-        #     for a model, the request will fail with a 400 error.
+        # - `auto`: If the context of this response and previous ones exceeds the model's
+        #   context window size, the model will truncate the response to fit the context
+        #   window by dropping input items in the middle of the conversation.
+        # - `disabled` (default): If a model response will exceed the context window size
+        #   for a model, the request will fail with a 400 error.
         #
         # @see OpenAI::Models::Responses::Response#truncation
         module Truncation
diff --git a/lib/openai/models/responses/response_computer_tool_call.rb b/lib/openai/models/responses/response_computer_tool_call.rb
index 7eafa499..c8d6e68a 100644
--- a/lib/openai/models/responses/response_computer_tool_call.rb
+++ b/lib/openai/models/responses/response_computer_tool_call.rb
@@ -31,7 +31,7 @@ class ResponseComputerToolCall < OpenAI::Internal::Type::BaseModel
 
         # @!attribute status
         #   The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #     Populated when items are returned via API.
+        #   Populated when items are returned via API.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseComputerToolCall::Status]
         required :status, enum: -> { OpenAI::Models::Responses::ResponseComputerToolCall::Status }
@@ -44,8 +44,8 @@ class ResponseComputerToolCall < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # A tool call to a computer use tool. See the
-        #   #   [computer use guide](https://platform.openai.com/docs/guides/tools-computer-use)
-        #   #   for more information.
+        #   # [computer use guide](https://platform.openai.com/docs/guides/tools-computer-use)
+        #   # for more information.
         #   #
         #   # @param id [String]
         #   # @param action [OpenAI::Models::Responses::ResponseComputerToolCall::Action::Click, OpenAI::Models::Responses::ResponseComputerToolCall::Action::DoubleClick, OpenAI::Models::Responses::ResponseComputerToolCall::Action::Drag, OpenAI::Models::Responses::ResponseComputerToolCall::Action::Keypress, OpenAI::Models::Responses::ResponseComputerToolCall::Action::Move, OpenAI::Models::Responses::ResponseComputerToolCall::Action::Screenshot, OpenAI::Models::Responses::ResponseComputerToolCall::Action::Scroll, OpenAI::Models::Responses::ResponseComputerToolCall::Action::Type, OpenAI::Models::Responses::ResponseComputerToolCall::Action::Wait]
@@ -96,14 +96,14 @@ module Action
           class Click < OpenAI::Internal::Type::BaseModel
             # @!attribute button
             #   Indicates which mouse button was pressed during the click. One of `left`,
-            #     `right`, `wheel`, `back`, or `forward`.
+            #   `right`, `wheel`, `back`, or `forward`.
             #
             #   @return [Symbol, OpenAI::Models::Responses::ResponseComputerToolCall::Action::Click::Button]
             required :button, enum: -> { OpenAI::Models::Responses::ResponseComputerToolCall::Action::Click::Button }
 
             # @!attribute type
             #   Specifies the event type. For a click action, this property is always set to
-            #     `click`.
+            #   `click`.
             #
             #   @return [Symbol, :click]
             required :type, const: :click
@@ -133,7 +133,7 @@ class Click < OpenAI::Internal::Type::BaseModel
             # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
             # Indicates which mouse button was pressed during the click. One of `left`,
-            #   `right`, `wheel`, `back`, or `forward`.
+            # `right`, `wheel`, `back`, or `forward`.
             #
             # @see OpenAI::Models::Responses::ResponseComputerToolCall::Action::Click#button
             module Button
@@ -156,7 +156,7 @@ module Button
           class DoubleClick < OpenAI::Internal::Type::BaseModel
             # @!attribute type
             #   Specifies the event type. For a double click action, this property is always set
-            #     to `double_click`.
+            #   to `double_click`.
             #
             #   @return [Symbol, :double_click]
             required :type, const: :double_click
@@ -188,14 +188,14 @@ class DoubleClick < OpenAI::Internal::Type::BaseModel
           class Drag < OpenAI::Internal::Type::BaseModel
             # @!attribute path
             #   An array of coordinates representing the path of the drag action. Coordinates
-            #     will appear as an array of objects, eg
+            #   will appear as an array of objects, eg
             #
-            #     ```
-            #     [
-            #       { x: 100, y: 200 },
-            #       { x: 200, y: 300 }
-            #     ]
-            #     ```
+            #   ```
+            #   [
+            #     { x: 100, y: 200 },
+            #     { x: 200, y: 300 }
+            #   ]
+            #   ```
             #
             #   @return [Array<OpenAI::Models::Responses::ResponseComputerToolCall::Action::Drag::Path>]
             required :path,
@@ -203,7 +203,7 @@ class Drag < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   Specifies the event type. For a drag action, this property is always set to
-            #     `drag`.
+            #   `drag`.
             #
             #   @return [Symbol, :drag]
             required :type, const: :drag
@@ -246,14 +246,14 @@ class Path < OpenAI::Internal::Type::BaseModel
           class Keypress < OpenAI::Internal::Type::BaseModel
             # @!attribute keys
             #   The combination of keys the model is requesting to be pressed. This is an array
-            #     of strings, each representing a key.
+            #   of strings, each representing a key.
             #
             #   @return [Array<String>]
             required :keys, OpenAI::Internal::Type::ArrayOf[String]
 
             # @!attribute type
             #   Specifies the event type. For a keypress action, this property is always set to
-            #     `keypress`.
+            #   `keypress`.
             #
             #   @return [Symbol, :keypress]
             required :type, const: :keypress
@@ -272,7 +272,7 @@ class Keypress < OpenAI::Internal::Type::BaseModel
           class Move < OpenAI::Internal::Type::BaseModel
             # @!attribute type
             #   Specifies the event type. For a move action, this property is always set to
-            #     `move`.
+            #   `move`.
             #
             #   @return [Symbol, :move]
             required :type, const: :move
@@ -304,7 +304,7 @@ class Move < OpenAI::Internal::Type::BaseModel
           class Screenshot < OpenAI::Internal::Type::BaseModel
             # @!attribute type
             #   Specifies the event type. For a screenshot action, this property is always set
-            #     to `screenshot`.
+            #   to `screenshot`.
             #
             #   @return [Symbol, :screenshot]
             required :type, const: :screenshot
@@ -334,7 +334,7 @@ class Scroll < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   Specifies the event type. For a scroll action, this property is always set to
-            #     `scroll`.
+            #   `scroll`.
             #
             #   @return [Symbol, :scroll]
             required :type, const: :scroll
@@ -374,7 +374,7 @@ class Type < OpenAI::Internal::Type::BaseModel
 
             # @!attribute type
             #   Specifies the event type. For a type action, this property is always set to
-            #     `type`.
+            #   `type`.
             #
             #   @return [Symbol, :type]
             required :type, const: :type
@@ -393,7 +393,7 @@ class Type < OpenAI::Internal::Type::BaseModel
           class Wait < OpenAI::Internal::Type::BaseModel
             # @!attribute type
             #   Specifies the event type. For a wait action, this property is always set to
-            #     `wait`.
+            #   `wait`.
             #
             #   @return [Symbol, :wait]
             required :type, const: :wait
@@ -445,7 +445,7 @@ class PendingSafetyCheck < OpenAI::Internal::Type::BaseModel
         end
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         #
         # @see OpenAI::Models::Responses::ResponseComputerToolCall#status
         module Status
diff --git a/lib/openai/models/responses/response_computer_tool_call_output_item.rb b/lib/openai/models/responses/response_computer_tool_call_output_item.rb
index 0db1e5cc..2cc50149 100644
--- a/lib/openai/models/responses/response_computer_tool_call_output_item.rb
+++ b/lib/openai/models/responses/response_computer_tool_call_output_item.rb
@@ -30,7 +30,7 @@ class ResponseComputerToolCallOutputItem < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] acknowledged_safety_checks
         #   The safety checks reported by the API that have been acknowledged by the
-        #     developer.
+        #   developer.
         #
         #   @return [Array<OpenAI::Models::Responses::ResponseComputerToolCallOutputItem::AcknowledgedSafetyCheck>, nil]
         optional :acknowledged_safety_checks,
@@ -42,7 +42,7 @@ class ResponseComputerToolCallOutputItem < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] status
         #   The status of the message input. One of `in_progress`, `completed`, or
-        #     `incomplete`. Populated when input items are returned via API.
+        #   `incomplete`. Populated when input items are returned via API.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseComputerToolCallOutputItem::Status, nil]
         optional :status, enum: -> { OpenAI::Models::Responses::ResponseComputerToolCallOutputItem::Status }
@@ -95,7 +95,7 @@ class AcknowledgedSafetyCheck < OpenAI::Internal::Type::BaseModel
         end
 
         # The status of the message input. One of `in_progress`, `completed`, or
-        #   `incomplete`. Populated when input items are returned via API.
+        # `incomplete`. Populated when input items are returned via API.
         #
         # @see OpenAI::Models::Responses::ResponseComputerToolCallOutputItem#status
         module Status
diff --git a/lib/openai/models/responses/response_computer_tool_call_output_screenshot.rb b/lib/openai/models/responses/response_computer_tool_call_output_screenshot.rb
index 1ac341fb..9cfc543a 100644
--- a/lib/openai/models/responses/response_computer_tool_call_output_screenshot.rb
+++ b/lib/openai/models/responses/response_computer_tool_call_output_screenshot.rb
@@ -6,7 +6,7 @@ module Responses
       class ResponseComputerToolCallOutputScreenshot < OpenAI::Internal::Type::BaseModel
         # @!attribute type
         #   Specifies the event type. For a computer screenshot, this property is always set
-        #     to `computer_screenshot`.
+        #   to `computer_screenshot`.
         #
         #   @return [Symbol, :computer_screenshot]
         required :type, const: :computer_screenshot
diff --git a/lib/openai/models/responses/response_create_params.rb b/lib/openai/models/responses/response_create_params.rb
index 38550327..0e96b549 100644
--- a/lib/openai/models/responses/response_create_params.rb
+++ b/lib/openai/models/responses/response_create_params.rb
@@ -14,36 +14,36 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute input
         #   Text, image, or file inputs to the model, used to generate a response.
         #
-        #     Learn more:
+        #   Learn more:
         #
-        #     - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #     - [Image inputs](https://platform.openai.com/docs/guides/images)
-        #     - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
-        #     - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
-        #     - [Function calling](https://platform.openai.com/docs/guides/function-calling)
+        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        #   - [Image inputs](https://platform.openai.com/docs/guides/images)
+        #   - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
+        #   - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
+        #   - [Function calling](https://platform.openai.com/docs/guides/function-calling)
         #
         #   @return [String, Array<OpenAI::Models::Responses::EasyInputMessage, OpenAI::Models::Responses::ResponseInputItem::Message, OpenAI::Models::Responses::ResponseOutputMessage, OpenAI::Models::Responses::ResponseFileSearchToolCall, OpenAI::Models::Responses::ResponseComputerToolCall, OpenAI::Models::Responses::ResponseInputItem::ComputerCallOutput, OpenAI::Models::Responses::ResponseFunctionWebSearch, OpenAI::Models::Responses::ResponseFunctionToolCall, OpenAI::Models::Responses::ResponseInputItem::FunctionCallOutput, OpenAI::Models::Responses::ResponseReasoningItem, OpenAI::Models::Responses::ResponseInputItem::ItemReference>]
         required :input, union: -> { OpenAI::Models::Responses::ResponseCreateParams::Input }
 
         # @!attribute model
         #   Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #     wide range of models with different capabilities, performance characteristics,
-        #     and price points. Refer to the
-        #     [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #     available models.
+        #   wide range of models with different capabilities, performance characteristics,
+        #   and price points. Refer to the
+        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
+        #   available models.
         #
         #   @return [String, Symbol, OpenAI::Models::ChatModel, OpenAI::Models::ResponsesModel]
         required :model, union: -> { OpenAI::Models::ResponsesModel }
 
         # @!attribute include
         #   Specify additional output data to include in the model response. Currently
-        #     supported values are:
+        #   supported values are:
         #
-        #     - `file_search_call.results`: Include the search results of the file search tool
-        #       call.
-        #     - `message.input_image.image_url`: Include image urls from the input message.
-        #     - `computer_call_output.output.image_url`: Include image urls from the computer
-        #       call output.
+        #   - `file_search_call.results`: Include the search results of the file search tool
+        #     call.
+        #   - `message.input_image.image_url`: Include image urls from the input message.
+        #   - `computer_call_output.output.image_url`: Include image urls from the computer
+        #     call output.
         #
         #   @return [Array<Symbol, OpenAI::Models::Responses::ResponseIncludable>, nil]
         optional :include,
@@ -52,30 +52,30 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute instructions
         #   Inserts a system (or developer) message as the first item in the model's
-        #     context.
+        #   context.
         #
-        #     When using along with `previous_response_id`, the instructions from a previous
-        #     response will not be carried over to the next response. This makes it simple to
-        #     swap out system (or developer) messages in new responses.
+        #   When using along with `previous_response_id`, the instructions from a previous
+        #   response will not be carried over to the next response. This makes it simple to
+        #   swap out system (or developer) messages in new responses.
         #
         #   @return [String, nil]
         optional :instructions, String, nil?: true
 
         # @!attribute max_output_tokens
         #   An upper bound for the number of tokens that can be generated for a response,
-        #     including visible output tokens and
-        #     [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+        #   including visible output tokens and
+        #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
         #
         #   @return [Integer, nil]
         optional :max_output_tokens, Integer, nil?: true
 
         # @!attribute metadata
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard.
         #
-        #     Keys are strings with a maximum length of 64 characters. Values are strings with
-        #     a maximum length of 512 characters.
+        #   Keys are strings with a maximum length of 64 characters. Values are strings with
+        #   a maximum length of 512 characters.
         #
         #   @return [Hash{Symbol=>String}, nil]
         optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -88,8 +88,8 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute previous_response_id
         #   The unique ID of the previous response to the model. Use this to create
-        #     multi-turn conversations. Learn more about
-        #     [conversation state](https://platform.openai.com/docs/guides/conversation-state).
+        #   multi-turn conversations. Learn more about
+        #   [conversation state](https://platform.openai.com/docs/guides/conversation-state).
         #
         #   @return [String, nil]
         optional :previous_response_id, String, nil?: true
@@ -97,8 +97,8 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute reasoning
         #   **o-series models only**
         #
-        #     Configuration options for
-        #     [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+        #   Configuration options for
+        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning).
         #
         #   @return [OpenAI::Models::Reasoning, nil]
         optional :reasoning, -> { OpenAI::Models::Reasoning }, nil?: true
@@ -111,19 +111,19 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute temperature
         #   What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #     make the output more random, while lower values like 0.2 will make it more
-        #     focused and deterministic. We generally recommend altering this or `top_p` but
-        #     not both.
+        #   make the output more random, while lower values like 0.2 will make it more
+        #   focused and deterministic. We generally recommend altering this or `top_p` but
+        #   not both.
         #
         #   @return [Float, nil]
         optional :temperature, Float, nil?: true
 
         # @!attribute [r] text
         #   Configuration options for a text response from the model. Can be plain text or
-        #     structured JSON data. Learn more:
+        #   structured JSON data. Learn more:
         #
-        #     - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #     - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        #   - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
         #
         #   @return [OpenAI::Models::Responses::ResponseTextConfig, nil]
         optional :text, -> { OpenAI::Models::Responses::ResponseTextConfig }
@@ -134,8 +134,8 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] tool_choice
         #   How the model should select which tool (or tools) to use when generating a
-        #     response. See the `tools` parameter to see how to specify which tools the model
-        #     can call.
+        #   response. See the `tools` parameter to see how to specify which tools the model
+        #   can call.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ToolChoiceOptions, OpenAI::Models::Responses::ToolChoiceTypes, OpenAI::Models::Responses::ToolChoiceFunction, nil]
         optional :tool_choice, union: -> { OpenAI::Models::Responses::ResponseCreateParams::ToolChoice }
@@ -146,19 +146,19 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] tools
         #   An array of tools the model may call while generating a response. You can
-        #     specify which tool to use by setting the `tool_choice` parameter.
+        #   specify which tool to use by setting the `tool_choice` parameter.
         #
-        #     The two categories of tools you can provide the model are:
+        #   The two categories of tools you can provide the model are:
         #
-        #     - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
-        #       capabilities, like
-        #       [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-        #       [file search](https://platform.openai.com/docs/guides/tools-file-search).
-        #       Learn more about
-        #       [built-in tools](https://platform.openai.com/docs/guides/tools).
-        #     - **Function calls (custom tools)**: Functions that are defined by you, enabling
-        #       the model to call your own code. Learn more about
-        #       [function calling](https://platform.openai.com/docs/guides/function-calling).
+        #   - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+        #     capabilities, like
+        #     [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+        #     [file search](https://platform.openai.com/docs/guides/tools-file-search).
+        #     Learn more about
+        #     [built-in tools](https://platform.openai.com/docs/guides/tools).
+        #   - **Function calls (custom tools)**: Functions that are defined by you, enabling
+        #     the model to call your own code. Learn more about
+        #     [function calling](https://platform.openai.com/docs/guides/function-calling).
         #
         #   @return [Array<OpenAI::Models::Responses::FileSearchTool, OpenAI::Models::Responses::FunctionTool, OpenAI::Models::Responses::ComputerTool, OpenAI::Models::Responses::WebSearchTool>, nil]
         optional :tools, -> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::Responses::Tool] }
@@ -169,10 +169,10 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute top_p
         #   An alternative to sampling with temperature, called nucleus sampling, where the
-        #     model considers the results of the tokens with top_p probability mass. So 0.1
-        #     means only the tokens comprising the top 10% probability mass are considered.
+        #   model considers the results of the tokens with top_p probability mass. So 0.1
+        #   means only the tokens comprising the top 10% probability mass are considered.
         #
-        #     We generally recommend altering this or `temperature` but not both.
+        #   We generally recommend altering this or `temperature` but not both.
         #
         #   @return [Float, nil]
         optional :top_p, Float, nil?: true
@@ -180,19 +180,19 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
         # @!attribute truncation
         #   The truncation strategy to use for the model response.
         #
-        #     - `auto`: If the context of this response and previous ones exceeds the model's
-        #       context window size, the model will truncate the response to fit the context
-        #       window by dropping input items in the middle of the conversation.
-        #     - `disabled` (default): If a model response will exceed the context window size
-        #       for a model, the request will fail with a 400 error.
+        #   - `auto`: If the context of this response and previous ones exceeds the model's
+        #     context window size, the model will truncate the response to fit the context
+        #     window by dropping input items in the middle of the conversation.
+        #   - `disabled` (default): If a model response will exceed the context window size
+        #     for a model, the request will fail with a 400 error.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseCreateParams::Truncation, nil]
         optional :truncation, enum: -> { OpenAI::Models::Responses::ResponseCreateParams::Truncation }, nil?: true
 
         # @!attribute [r] user
         #   A unique identifier representing your end-user, which can help OpenAI to monitor
-        #     and detect abuse.
-        #     [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        #   and detect abuse.
+        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         #
         #   @return [String, nil]
         optional :user, String
@@ -249,13 +249,13 @@ class ResponseCreateParams < OpenAI::Internal::Type::BaseModel
 
         # Text, image, or file inputs to the model, used to generate a response.
         #
-        #   Learn more:
+        # Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Image inputs](https://platform.openai.com/docs/guides/images)
-        #   - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
-        #   - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
-        #   - [Function calling](https://platform.openai.com/docs/guides/function-calling)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Image inputs](https://platform.openai.com/docs/guides/images)
+        # - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
+        # - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
+        # - [Function calling](https://platform.openai.com/docs/guides/function-calling)
         module Input
           extend OpenAI::Internal::Type::Union
 
@@ -273,8 +273,8 @@ module Input
         end
 
         # How the model should select which tool (or tools) to use when generating a
-        #   response. See the `tools` parameter to see how to specify which tools the model
-        #   can call.
+        # response. See the `tools` parameter to see how to specify which tools the model
+        # can call.
         module ToolChoice
           extend OpenAI::Internal::Type::Union
 
@@ -302,11 +302,11 @@ module ToolChoice
 
         # The truncation strategy to use for the model response.
         #
-        #   - `auto`: If the context of this response and previous ones exceeds the model's
-        #     context window size, the model will truncate the response to fit the context
-        #     window by dropping input items in the middle of the conversation.
-        #   - `disabled` (default): If a model response will exceed the context window size
-        #     for a model, the request will fail with a 400 error.
+        # - `auto`: If the context of this response and previous ones exceeds the model's
+        #   context window size, the model will truncate the response to fit the context
+        #   window by dropping input items in the middle of the conversation.
+        # - `disabled` (default): If a model response will exceed the context window size
+        #   for a model, the request will fail with a 400 error.
         module Truncation
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/responses/response_file_search_tool_call.rb b/lib/openai/models/responses/response_file_search_tool_call.rb
index c8afd7e5..7048c7a4 100644
--- a/lib/openai/models/responses/response_file_search_tool_call.rb
+++ b/lib/openai/models/responses/response_file_search_tool_call.rb
@@ -18,7 +18,7 @@ class ResponseFileSearchToolCall < OpenAI::Internal::Type::BaseModel
 
         # @!attribute status
         #   The status of the file search tool call. One of `in_progress`, `searching`,
-        #     `incomplete` or `failed`,
+        #   `incomplete` or `failed`,
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseFileSearchToolCall::Status]
         required :status, enum: -> { OpenAI::Models::Responses::ResponseFileSearchToolCall::Status }
@@ -39,8 +39,8 @@ class ResponseFileSearchToolCall < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # The results of a file search tool call. See the
-        #   #   [file search guide](https://platform.openai.com/docs/guides/tools-file-search)
-        #   #   for more information.
+        #   # [file search guide](https://platform.openai.com/docs/guides/tools-file-search)
+        #   # for more information.
         #   #
         #   # @param id [String]
         #   # @param queries [Array<String>]
@@ -53,7 +53,7 @@ class ResponseFileSearchToolCall < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # The status of the file search tool call. One of `in_progress`, `searching`,
-        #   `incomplete` or `failed`,
+        # `incomplete` or `failed`,
         #
         # @see OpenAI::Models::Responses::ResponseFileSearchToolCall#status
         module Status
@@ -75,10 +75,10 @@ module Status
         class Result < OpenAI::Internal::Type::BaseModel
           # @!attribute attributes
           #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #     for storing additional information about the object in a structured format, and
-          #     querying for objects via API or the dashboard. Keys are strings with a maximum
-          #     length of 64 characters. Values are strings with a maximum length of 512
-          #     characters, booleans, or numbers.
+          #   for storing additional information about the object in a structured format, and
+          #   querying for objects via API or the dashboard. Keys are strings with a maximum
+          #   length of 64 characters. Values are strings with a maximum length of 512
+          #   characters, booleans, or numbers.
           #
           #   @return [Hash{Symbol=>String, Float, Boolean}, nil]
           optional :attributes,
diff --git a/lib/openai/models/responses/response_format_text_config.rb b/lib/openai/models/responses/response_format_text_config.rb
index bdacd77c..bdb5e64f 100644
--- a/lib/openai/models/responses/response_format_text_config.rb
+++ b/lib/openai/models/responses/response_format_text_config.rb
@@ -5,17 +5,17 @@ module Models
     module Responses
       # An object specifying the format that the model must output.
       #
-      #   Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
-      #   ensures the model will match your supplied JSON schema. Learn more in the
-      #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+      # Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+      # ensures the model will match your supplied JSON schema. Learn more in the
+      # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
       #
-      #   The default format is `{ "type": "text" }` with no additional options.
+      # The default format is `{ "type": "text" }` with no additional options.
       #
-      #   **Not recommended for gpt-4o and newer models:**
+      # **Not recommended for gpt-4o and newer models:**
       #
-      #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-      #   ensures the message the model generates is valid JSON. Using `json_schema` is
-      #   preferred for models that support it.
+      # Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+      # ensures the message the model generates is valid JSON. Using `json_schema` is
+      # preferred for models that support it.
       module ResponseFormatTextConfig
         extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/responses/response_format_text_json_schema_config.rb b/lib/openai/models/responses/response_format_text_json_schema_config.rb
index 0fac4e6d..3cbc68bd 100644
--- a/lib/openai/models/responses/response_format_text_json_schema_config.rb
+++ b/lib/openai/models/responses/response_format_text_json_schema_config.rb
@@ -6,14 +6,14 @@ module Responses
       class ResponseFormatTextJSONSchemaConfig < OpenAI::Internal::Type::BaseModel
         # @!attribute name
         #   The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores
-        #     and dashes, with a maximum length of 64.
+        #   and dashes, with a maximum length of 64.
         #
         #   @return [String]
         required :name, String
 
         # @!attribute schema
         #   The schema for the response format, described as a JSON Schema object. Learn how
-        #     to build JSON schemas [here](https://json-schema.org/).
+        #   to build JSON schemas [here](https://json-schema.org/).
         #
         #   @return [Hash{Symbol=>Object}]
         required :schema, OpenAI::Internal::Type::HashOf[OpenAI::Internal::Type::Unknown]
@@ -26,7 +26,7 @@ class ResponseFormatTextJSONSchemaConfig < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] description
         #   A description of what the response format is for, used by the model to determine
-        #     how to respond in the format.
+        #   how to respond in the format.
         #
         #   @return [String, nil]
         optional :description, String
@@ -37,18 +37,18 @@ class ResponseFormatTextJSONSchemaConfig < OpenAI::Internal::Type::BaseModel
 
         # @!attribute strict
         #   Whether to enable strict schema adherence when generating the output. If set to
-        #     true, the model will always follow the exact schema defined in the `schema`
-        #     field. Only a subset of JSON Schema is supported when `strict` is `true`. To
-        #     learn more, read the
-        #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        #   true, the model will always follow the exact schema defined in the `schema`
+        #   field. Only a subset of JSON Schema is supported when `strict` is `true`. To
+        #   learn more, read the
+        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
         #   @return [Boolean, nil]
         optional :strict, OpenAI::Internal::Type::Boolean, nil?: true
 
         # @!parse
         #   # JSON Schema response format. Used to generate structured JSON responses. Learn
-        #   #   more about
-        #   #   [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
+        #   # more about
+        #   # [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
         #   #
         #   # @param name [String]
         #   # @param schema [Hash{Symbol=>Object}]
diff --git a/lib/openai/models/responses/response_function_tool_call.rb b/lib/openai/models/responses/response_function_tool_call.rb
index 61ce02d2..5bf53133 100644
--- a/lib/openai/models/responses/response_function_tool_call.rb
+++ b/lib/openai/models/responses/response_function_tool_call.rb
@@ -40,7 +40,7 @@ class ResponseFunctionToolCall < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] status
         #   The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #     Populated when items are returned via API.
+        #   Populated when items are returned via API.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseFunctionToolCall::Status, nil]
         optional :status, enum: -> { OpenAI::Models::Responses::ResponseFunctionToolCall::Status }
@@ -51,8 +51,8 @@ class ResponseFunctionToolCall < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # A tool call to run a function. See the
-        #   #   [function calling guide](https://platform.openai.com/docs/guides/function-calling)
-        #   #   for more information.
+        #   # [function calling guide](https://platform.openai.com/docs/guides/function-calling)
+        #   # for more information.
         #   #
         #   # @param arguments [String]
         #   # @param call_id [String]
@@ -66,7 +66,7 @@ class ResponseFunctionToolCall < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         #
         # @see OpenAI::Models::Responses::ResponseFunctionToolCall#status
         module Status
diff --git a/lib/openai/models/responses/response_function_tool_call_item.rb b/lib/openai/models/responses/response_function_tool_call_item.rb
index 8315cb64..17e2ceff 100644
--- a/lib/openai/models/responses/response_function_tool_call_item.rb
+++ b/lib/openai/models/responses/response_function_tool_call_item.rb
@@ -12,8 +12,8 @@ class ResponseFunctionToolCallItem < OpenAI::Models::Responses::ResponseFunction
 
         # @!parse
         #   # A tool call to run a function. See the
-        #   #   [function calling guide](https://platform.openai.com/docs/guides/function-calling)
-        #   #   for more information.
+        #   # [function calling guide](https://platform.openai.com/docs/guides/function-calling)
+        #   # for more information.
         #   #
         #   # @param id [String]
         #   #
diff --git a/lib/openai/models/responses/response_function_tool_call_output_item.rb b/lib/openai/models/responses/response_function_tool_call_output_item.rb
index 081ef864..2123bd97 100644
--- a/lib/openai/models/responses/response_function_tool_call_output_item.rb
+++ b/lib/openai/models/responses/response_function_tool_call_output_item.rb
@@ -30,7 +30,7 @@ class ResponseFunctionToolCallOutputItem < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] status
         #   The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #     Populated when items are returned via API.
+        #   Populated when items are returned via API.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseFunctionToolCallOutputItem::Status, nil]
         optional :status, enum: -> { OpenAI::Models::Responses::ResponseFunctionToolCallOutputItem::Status }
@@ -51,7 +51,7 @@ class ResponseFunctionToolCallOutputItem < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         #
         # @see OpenAI::Models::Responses::ResponseFunctionToolCallOutputItem#status
         module Status
diff --git a/lib/openai/models/responses/response_function_web_search.rb b/lib/openai/models/responses/response_function_web_search.rb
index c2cdfa12..e6d9a2e8 100644
--- a/lib/openai/models/responses/response_function_web_search.rb
+++ b/lib/openai/models/responses/response_function_web_search.rb
@@ -24,8 +24,8 @@ class ResponseFunctionWebSearch < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # The results of a web search tool call. See the
-        #   #   [web search guide](https://platform.openai.com/docs/guides/tools-web-search) for
-        #   #   more information.
+        #   # [web search guide](https://platform.openai.com/docs/guides/tools-web-search) for
+        #   # more information.
         #   #
         #   # @param id [String]
         #   # @param status [Symbol, OpenAI::Models::Responses::ResponseFunctionWebSearch::Status]
diff --git a/lib/openai/models/responses/response_includable.rb b/lib/openai/models/responses/response_includable.rb
index 26bd124c..71a49423 100644
--- a/lib/openai/models/responses/response_includable.rb
+++ b/lib/openai/models/responses/response_includable.rb
@@ -4,13 +4,13 @@ module OpenAI
   module Models
     module Responses
       # Specify additional output data to include in the model response. Currently
-      #   supported values are:
+      # supported values are:
       #
-      #   - `file_search_call.results`: Include the search results of the file search tool
-      #     call.
-      #   - `message.input_image.image_url`: Include image urls from the input message.
-      #   - `computer_call_output.output.image_url`: Include image urls from the computer
-      #     call output.
+      # - `file_search_call.results`: Include the search results of the file search tool
+      #   call.
+      # - `message.input_image.image_url`: Include image urls from the input message.
+      # - `computer_call_output.output.image_url`: Include image urls from the computer
+      #   call output.
       module ResponseIncludable
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/responses/response_input_image.rb b/lib/openai/models/responses/response_input_image.rb
index 883f8491..c508cf8a 100644
--- a/lib/openai/models/responses/response_input_image.rb
+++ b/lib/openai/models/responses/response_input_image.rb
@@ -6,7 +6,7 @@ module Responses
       class ResponseInputImage < OpenAI::Internal::Type::BaseModel
         # @!attribute detail
         #   The detail level of the image to be sent to the model. One of `high`, `low`, or
-        #     `auto`. Defaults to `auto`.
+        #   `auto`. Defaults to `auto`.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseInputImage::Detail]
         required :detail, enum: -> { OpenAI::Models::Responses::ResponseInputImage::Detail }
@@ -25,14 +25,14 @@ class ResponseInputImage < OpenAI::Internal::Type::BaseModel
 
         # @!attribute image_url
         #   The URL of the image to be sent to the model. A fully qualified URL or base64
-        #     encoded image in a data URL.
+        #   encoded image in a data URL.
         #
         #   @return [String, nil]
         optional :image_url, String, nil?: true
 
         # @!parse
         #   # An image input to the model. Learn about
-        #   #   [image inputs](https://platform.openai.com/docs/guides/vision).
+        #   # [image inputs](https://platform.openai.com/docs/guides/vision).
         #   #
         #   # @param detail [Symbol, OpenAI::Models::Responses::ResponseInputImage::Detail]
         #   # @param file_id [String, nil]
@@ -44,7 +44,7 @@ class ResponseInputImage < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # The detail level of the image to be sent to the model. One of `high`, `low`, or
-        #   `auto`. Defaults to `auto`.
+        # `auto`. Defaults to `auto`.
         #
         # @see OpenAI::Models::Responses::ResponseInputImage#detail
         module Detail
diff --git a/lib/openai/models/responses/response_input_item.rb b/lib/openai/models/responses/response_input_item.rb
index 62862e0e..db0e26d2 100644
--- a/lib/openai/models/responses/response_input_item.rb
+++ b/lib/openai/models/responses/response_input_item.rb
@@ -4,10 +4,10 @@ module OpenAI
   module Models
     module Responses
       # 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.
+      # 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.
       module ResponseInputItem
         extend OpenAI::Internal::Type::Union
 
@@ -60,7 +60,7 @@ module ResponseInputItem
         class Message < OpenAI::Internal::Type::BaseModel
           # @!attribute content
           #   A list of one or many input items to the model, containing different content
-          #     types.
+          #   types.
           #
           #   @return [Array<OpenAI::Models::Responses::ResponseInputText, OpenAI::Models::Responses::ResponseInputImage, OpenAI::Models::Responses::ResponseInputFile>]
           required :content,
@@ -74,7 +74,7 @@ class Message < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] status
           #   The status of item. One of `in_progress`, `completed`, or `incomplete`.
-          #     Populated when items are returned via API.
+          #   Populated when items are returned via API.
           #
           #   @return [Symbol, OpenAI::Models::Responses::ResponseInputItem::Message::Status, nil]
           optional :status, enum: -> { OpenAI::Models::Responses::ResponseInputItem::Message::Status }
@@ -95,8 +95,8 @@ class Message < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # 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.
+          #   # hierarchy. Instructions given with the `developer` or `system` role take
+          #   # precedence over instructions given with the `user` role.
           #   #
           #   # @param content [Array<OpenAI::Models::Responses::ResponseInputText, OpenAI::Models::Responses::ResponseInputImage, OpenAI::Models::Responses::ResponseInputFile>]
           #   # @param role [Symbol, OpenAI::Models::Responses::ResponseInputItem::Message::Role]
@@ -125,7 +125,7 @@ module Role
           end
 
           # The status of item. One of `in_progress`, `completed`, or `incomplete`.
-          #   Populated when items are returned via API.
+          # Populated when items are returned via API.
           #
           # @see OpenAI::Models::Responses::ResponseInputItem::Message#status
           module Status
@@ -189,7 +189,7 @@ class ComputerCallOutput < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] acknowledged_safety_checks
           #   The safety checks reported by the API that have been acknowledged by the
-          #     developer.
+          #   developer.
           #
           #   @return [Array<OpenAI::Models::Responses::ResponseInputItem::ComputerCallOutput::AcknowledgedSafetyCheck>, nil]
           optional :acknowledged_safety_checks,
@@ -201,7 +201,7 @@ class ComputerCallOutput < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] status
           #   The status of the message input. One of `in_progress`, `completed`, or
-          #     `incomplete`. Populated when input items are returned via API.
+          #   `incomplete`. Populated when input items are returned via API.
           #
           #   @return [Symbol, OpenAI::Models::Responses::ResponseInputItem::ComputerCallOutput::Status, nil]
           optional :status, enum: -> { OpenAI::Models::Responses::ResponseInputItem::ComputerCallOutput::Status }
@@ -256,7 +256,7 @@ class AcknowledgedSafetyCheck < OpenAI::Internal::Type::BaseModel
           end
 
           # The status of the message input. One of `in_progress`, `completed`, or
-          #   `incomplete`. Populated when input items are returned via API.
+          # `incomplete`. Populated when input items are returned via API.
           #
           # @see OpenAI::Models::Responses::ResponseInputItem::ComputerCallOutput#status
           module Status
@@ -295,7 +295,7 @@ class FunctionCallOutput < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] id
           #   The unique ID of the function tool call output. Populated when this item is
-          #     returned via API.
+          #   returned via API.
           #
           #   @return [String, nil]
           optional :id, String
@@ -306,7 +306,7 @@ class FunctionCallOutput < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] status
           #   The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-          #     Populated when items are returned via API.
+          #   Populated when items are returned via API.
           #
           #   @return [Symbol, OpenAI::Models::Responses::ResponseInputItem::FunctionCallOutput::Status, nil]
           optional :status, enum: -> { OpenAI::Models::Responses::ResponseInputItem::FunctionCallOutput::Status }
@@ -329,7 +329,7 @@ class FunctionCallOutput < OpenAI::Internal::Type::BaseModel
           # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
           # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-          #   Populated when items are returned via API.
+          # Populated when items are returned via API.
           #
           # @see OpenAI::Models::Responses::ResponseInputItem::FunctionCallOutput#status
           module Status
diff --git a/lib/openai/models/responses/response_input_message_item.rb b/lib/openai/models/responses/response_input_message_item.rb
index 3bb170a9..b270e74d 100644
--- a/lib/openai/models/responses/response_input_message_item.rb
+++ b/lib/openai/models/responses/response_input_message_item.rb
@@ -12,7 +12,7 @@ class ResponseInputMessageItem < OpenAI::Internal::Type::BaseModel
 
         # @!attribute content
         #   A list of one or many input items to the model, containing different content
-        #     types.
+        #   types.
         #
         #   @return [Array<OpenAI::Models::Responses::ResponseInputText, OpenAI::Models::Responses::ResponseInputImage, OpenAI::Models::Responses::ResponseInputFile>]
         required :content,
@@ -26,7 +26,7 @@ class ResponseInputMessageItem < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] status
         #   The status of item. One of `in_progress`, `completed`, or `incomplete`.
-        #     Populated when items are returned via API.
+        #   Populated when items are returned via API.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseInputMessageItem::Status, nil]
         optional :status, enum: -> { OpenAI::Models::Responses::ResponseInputMessageItem::Status }
@@ -74,7 +74,7 @@ module Role
         end
 
         # The status of item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         #
         # @see OpenAI::Models::Responses::ResponseInputMessageItem#status
         module Status
diff --git a/lib/openai/models/responses/response_output_message.rb b/lib/openai/models/responses/response_output_message.rb
index 272c8ab1..b46f43d3 100644
--- a/lib/openai/models/responses/response_output_message.rb
+++ b/lib/openai/models/responses/response_output_message.rb
@@ -25,7 +25,7 @@ class ResponseOutputMessage < OpenAI::Internal::Type::BaseModel
 
         # @!attribute status
         #   The status of the message input. One of `in_progress`, `completed`, or
-        #     `incomplete`. Populated when input items are returned via API.
+        #   `incomplete`. Populated when input items are returned via API.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseOutputMessage::Status]
         required :status, enum: -> { OpenAI::Models::Responses::ResponseOutputMessage::Status }
@@ -67,7 +67,7 @@ module Content
         end
 
         # The status of the message input. One of `in_progress`, `completed`, or
-        #   `incomplete`. Populated when input items are returned via API.
+        # `incomplete`. Populated when input items are returned via API.
         #
         # @see OpenAI::Models::Responses::ResponseOutputMessage#status
         module Status
diff --git a/lib/openai/models/responses/response_reasoning_item.rb b/lib/openai/models/responses/response_reasoning_item.rb
index fa4d428c..3ae31538 100644
--- a/lib/openai/models/responses/response_reasoning_item.rb
+++ b/lib/openai/models/responses/response_reasoning_item.rb
@@ -25,7 +25,7 @@ class ResponseReasoningItem < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] status
         #   The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #     Populated when items are returned via API.
+        #   Populated when items are returned via API.
         #
         #   @return [Symbol, OpenAI::Models::Responses::ResponseReasoningItem::Status, nil]
         optional :status, enum: -> { OpenAI::Models::Responses::ResponseReasoningItem::Status }
@@ -36,7 +36,7 @@ class ResponseReasoningItem < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # A description of the chain of thought used by a reasoning model while generating
-        #   #   a response.
+        #   # a response.
         #   #
         #   # @param id [String]
         #   # @param summary [Array<OpenAI::Models::Responses::ResponseReasoningItem::Summary>]
@@ -70,7 +70,7 @@ class Summary < OpenAI::Internal::Type::BaseModel
         end
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         #
         # @see OpenAI::Models::Responses::ResponseReasoningItem#status
         module Status
diff --git a/lib/openai/models/responses/response_retrieve_params.rb b/lib/openai/models/responses/response_retrieve_params.rb
index eaef643f..1253ccfa 100644
--- a/lib/openai/models/responses/response_retrieve_params.rb
+++ b/lib/openai/models/responses/response_retrieve_params.rb
@@ -11,7 +11,7 @@ class ResponseRetrieveParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] include
         #   Additional fields to include in the response. See the `include` parameter for
-        #     Response creation above for more information.
+        #   Response creation above for more information.
         #
         #   @return [Array<Symbol, OpenAI::Models::Responses::ResponseIncludable>, nil]
         optional :include,
diff --git a/lib/openai/models/responses/response_status.rb b/lib/openai/models/responses/response_status.rb
index 15876663..da96c2e8 100644
--- a/lib/openai/models/responses/response_status.rb
+++ b/lib/openai/models/responses/response_status.rb
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     module Responses
       # The status of the response generation. One of `completed`, `failed`,
-      #   `in_progress`, or `incomplete`.
+      # `in_progress`, or `incomplete`.
       module ResponseStatus
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/responses/response_text_config.rb b/lib/openai/models/responses/response_text_config.rb
index 65f31b36..7901b8fb 100644
--- a/lib/openai/models/responses/response_text_config.rb
+++ b/lib/openai/models/responses/response_text_config.rb
@@ -7,17 +7,17 @@ class ResponseTextConfig < OpenAI::Internal::Type::BaseModel
         # @!attribute [r] format_
         #   An object specifying the format that the model must output.
         #
-        #     Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
-        #     ensures the model will match your supplied JSON schema. Learn more in the
-        #     [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        #   Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+        #   ensures the model will match your supplied JSON schema. Learn more in the
+        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #     The default format is `{ "type": "text" }` with no additional options.
+        #   The default format is `{ "type": "text" }` with no additional options.
         #
-        #     **Not recommended for gpt-4o and newer models:**
+        #   **Not recommended for gpt-4o and newer models:**
         #
-        #     Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-        #     ensures the message the model generates is valid JSON. Using `json_schema` is
-        #     preferred for models that support it.
+        #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+        #   ensures the message the model generates is valid JSON. Using `json_schema` is
+        #   preferred for models that support it.
         #
         #   @return [OpenAI::Models::ResponseFormatText, OpenAI::Models::Responses::ResponseFormatTextJSONSchemaConfig, OpenAI::Models::ResponseFormatJSONObject, nil]
         optional :format_, union: -> { OpenAI::Models::Responses::ResponseFormatTextConfig }, api_name: :format
@@ -28,10 +28,10 @@ class ResponseTextConfig < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Configuration options for a text response from the model. Can be plain text or
-        #   #   structured JSON data. Learn more:
+        #   # structured JSON data. Learn more:
         #   #
-        #   #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   #   - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+        #   # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        #   # - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
         #   #
         #   # @param format_ [OpenAI::Models::ResponseFormatText, OpenAI::Models::Responses::ResponseFormatTextJSONSchemaConfig, OpenAI::Models::ResponseFormatJSONObject]
         #   #
diff --git a/lib/openai/models/responses/response_usage.rb b/lib/openai/models/responses/response_usage.rb
index 8d6bee6d..2a2ecd8f 100644
--- a/lib/openai/models/responses/response_usage.rb
+++ b/lib/openai/models/responses/response_usage.rb
@@ -36,7 +36,7 @@ class ResponseUsage < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # Represents token usage details including input tokens, output tokens, a
-        #   #   breakdown of output tokens, and the total tokens used.
+        #   # breakdown of output tokens, and the total tokens used.
         #   #
         #   # @param input_tokens [Integer]
         #   # @param input_tokens_details [OpenAI::Models::Responses::ResponseUsage::InputTokensDetails]
@@ -52,7 +52,7 @@ class ResponseUsage < OpenAI::Internal::Type::BaseModel
         class InputTokensDetails < OpenAI::Internal::Type::BaseModel
           # @!attribute cached_tokens
           #   The number of tokens that were retrieved from the cache.
-          #     [More on prompt caching](https://platform.openai.com/docs/guides/prompt-caching).
+          #   [More on prompt caching](https://platform.openai.com/docs/guides/prompt-caching).
           #
           #   @return [Integer]
           required :cached_tokens, Integer
diff --git a/lib/openai/models/responses/tool.rb b/lib/openai/models/responses/tool.rb
index 9c696f1f..e9be0652 100644
--- a/lib/openai/models/responses/tool.rb
+++ b/lib/openai/models/responses/tool.rb
@@ -4,8 +4,8 @@ module OpenAI
   module Models
     module Responses
       # A tool that searches for relevant content from uploaded files. Learn more about
-      #   the
-      #   [file search tool](https://platform.openai.com/docs/guides/tools-file-search).
+      # the
+      # [file search tool](https://platform.openai.com/docs/guides/tools-file-search).
       module Tool
         extend OpenAI::Internal::Type::Union
 
diff --git a/lib/openai/models/responses/tool_choice_options.rb b/lib/openai/models/responses/tool_choice_options.rb
index 7b08e8c7..789817e8 100644
--- a/lib/openai/models/responses/tool_choice_options.rb
+++ b/lib/openai/models/responses/tool_choice_options.rb
@@ -5,12 +5,12 @@ module Models
     module Responses
       # Controls which (if any) tool is called by the model.
       #
-      #   `none` means the model will not call any tool and instead generates a message.
+      # `none` means the model will not call any tool and instead generates a message.
       #
-      #   `auto` means the model can pick between generating a message or calling one or
-      #   more tools.
+      # `auto` means the model can pick between generating a message or calling one or
+      # more tools.
       #
-      #   `required` means the model must call one or more tools.
+      # `required` means the model must call one or more tools.
       module ToolChoiceOptions
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/responses/tool_choice_types.rb b/lib/openai/models/responses/tool_choice_types.rb
index fe1d606d..d26c027f 100644
--- a/lib/openai/models/responses/tool_choice_types.rb
+++ b/lib/openai/models/responses/tool_choice_types.rb
@@ -6,20 +6,20 @@ module Responses
       class ToolChoiceTypes < OpenAI::Internal::Type::BaseModel
         # @!attribute type
         #   The type of hosted tool the model should to use. Learn more about
-        #     [built-in tools](https://platform.openai.com/docs/guides/tools).
+        #   [built-in tools](https://platform.openai.com/docs/guides/tools).
         #
-        #     Allowed values are:
+        #   Allowed values are:
         #
-        #     - `file_search`
-        #     - `web_search_preview`
-        #     - `computer_use_preview`
+        #   - `file_search`
+        #   - `web_search_preview`
+        #   - `computer_use_preview`
         #
         #   @return [Symbol, OpenAI::Models::Responses::ToolChoiceTypes::Type]
         required :type, enum: -> { OpenAI::Models::Responses::ToolChoiceTypes::Type }
 
         # @!parse
         #   # Indicates that the model should use a built-in tool to generate a response.
-        #   #   [Learn more about built-in tools](https://platform.openai.com/docs/guides/tools).
+        #   # [Learn more about built-in tools](https://platform.openai.com/docs/guides/tools).
         #   #
         #   # @param type [Symbol, OpenAI::Models::Responses::ToolChoiceTypes::Type]
         #   #
@@ -28,13 +28,13 @@ class ToolChoiceTypes < OpenAI::Internal::Type::BaseModel
         # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
         # The type of hosted tool the model should to use. Learn more about
-        #   [built-in tools](https://platform.openai.com/docs/guides/tools).
+        # [built-in tools](https://platform.openai.com/docs/guides/tools).
         #
-        #   Allowed values are:
+        # Allowed values are:
         #
-        #   - `file_search`
-        #   - `web_search_preview`
-        #   - `computer_use_preview`
+        # - `file_search`
+        # - `web_search_preview`
+        # - `computer_use_preview`
         #
         # @see OpenAI::Models::Responses::ToolChoiceTypes#type
         module Type
diff --git a/lib/openai/models/responses/web_search_tool.rb b/lib/openai/models/responses/web_search_tool.rb
index 504bcab1..90f84d39 100644
--- a/lib/openai/models/responses/web_search_tool.rb
+++ b/lib/openai/models/responses/web_search_tool.rb
@@ -7,15 +7,15 @@ class WebSearchTool < OpenAI::Internal::Type::BaseModel
         # @!attribute type
         #   The type of the web search tool. One of:
         #
-        #     - `web_search_preview`
-        #     - `web_search_preview_2025_03_11`
+        #   - `web_search_preview`
+        #   - `web_search_preview_2025_03_11`
         #
         #   @return [Symbol, OpenAI::Models::Responses::WebSearchTool::Type]
         required :type, enum: -> { OpenAI::Models::Responses::WebSearchTool::Type }
 
         # @!attribute [r] search_context_size
         #   High level guidance for the amount of context window space to use for the
-        #     search. One of `low`, `medium`, or `high`. `medium` is the default.
+        #   search. One of `low`, `medium`, or `high`. `medium` is the default.
         #
         #   @return [Symbol, OpenAI::Models::Responses::WebSearchTool::SearchContextSize, nil]
         optional :search_context_size, enum: -> { OpenAI::Models::Responses::WebSearchTool::SearchContextSize }
@@ -31,8 +31,8 @@ class WebSearchTool < OpenAI::Internal::Type::BaseModel
 
         # @!parse
         #   # This tool searches the web for relevant results to use in a response. Learn more
-        #   #   about the
-        #   #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search).
+        #   # about the
+        #   # [web search tool](https://platform.openai.com/docs/guides/tools-web-search).
         #   #
         #   # @param type [Symbol, OpenAI::Models::Responses::WebSearchTool::Type]
         #   # @param search_context_size [Symbol, OpenAI::Models::Responses::WebSearchTool::SearchContextSize]
@@ -44,8 +44,8 @@ class WebSearchTool < OpenAI::Internal::Type::BaseModel
 
         # The type of the web search tool. One of:
         #
-        #   - `web_search_preview`
-        #   - `web_search_preview_2025_03_11`
+        # - `web_search_preview`
+        # - `web_search_preview_2025_03_11`
         #
         # @see OpenAI::Models::Responses::WebSearchTool#type
         module Type
@@ -62,7 +62,7 @@ module Type
         end
 
         # High level guidance for the amount of context window space to use for the
-        #   search. One of `low`, `medium`, or `high`. `medium` is the default.
+        # search. One of `low`, `medium`, or `high`. `medium` is the default.
         #
         # @see OpenAI::Models::Responses::WebSearchTool#search_context_size
         module SearchContextSize
@@ -99,7 +99,7 @@ class UserLocation < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] country
           #   The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of
-          #     the user, e.g. `US`.
+          #   the user, e.g. `US`.
           #
           #   @return [String, nil]
           optional :country, String
@@ -120,7 +120,7 @@ class UserLocation < OpenAI::Internal::Type::BaseModel
 
           # @!attribute [r] timezone
           #   The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the
-          #     user, e.g. `America/Los_Angeles`.
+          #   user, e.g. `America/Los_Angeles`.
           #
           #   @return [String, nil]
           optional :timezone, String
diff --git a/lib/openai/models/static_file_chunking_strategy.rb b/lib/openai/models/static_file_chunking_strategy.rb
index 9f466cc0..9bff61c3 100644
--- a/lib/openai/models/static_file_chunking_strategy.rb
+++ b/lib/openai/models/static_file_chunking_strategy.rb
@@ -6,14 +6,14 @@ class StaticFileChunkingStrategy < OpenAI::Internal::Type::BaseModel
       # @!attribute chunk_overlap_tokens
       #   The number of tokens that overlap between chunks. The default value is `400`.
       #
-      #     Note that the overlap must not exceed half of `max_chunk_size_tokens`.
+      #   Note that the overlap must not exceed half of `max_chunk_size_tokens`.
       #
       #   @return [Integer]
       required :chunk_overlap_tokens, Integer
 
       # @!attribute max_chunk_size_tokens
       #   The maximum number of tokens in each chunk. The default value is `800`. The
-      #     minimum value is `100` and the maximum value is `4096`.
+      #   minimum value is `100` and the maximum value is `4096`.
       #
       #   @return [Integer]
       required :max_chunk_size_tokens, Integer
diff --git a/lib/openai/models/upload.rb b/lib/openai/models/upload.rb
index d0da7a8f..9151584f 100644
--- a/lib/openai/models/upload.rb
+++ b/lib/openai/models/upload.rb
@@ -42,8 +42,8 @@ class Upload < OpenAI::Internal::Type::BaseModel
 
       # @!attribute purpose
       #   The intended purpose of the file.
-      #     [Please refer here](https://platform.openai.com/docs/api-reference/files/object#files/object-purpose)
-      #     for acceptable values.
+      #   [Please refer here](https://platform.openai.com/docs/api-reference/files/object#files/object-purpose)
+      #   for acceptable values.
       #
       #   @return [String]
       required :purpose, String
diff --git a/lib/openai/models/upload_complete_params.rb b/lib/openai/models/upload_complete_params.rb
index 378f2269..3b8eb1b5 100644
--- a/lib/openai/models/upload_complete_params.rb
+++ b/lib/openai/models/upload_complete_params.rb
@@ -16,7 +16,7 @@ class UploadCompleteParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] md5
       #   The optional md5 checksum for the file contents to verify if the bytes uploaded
-      #     matches what you expect.
+      #   matches what you expect.
       #
       #   @return [String, nil]
       optional :md5, String
diff --git a/lib/openai/models/upload_create_params.rb b/lib/openai/models/upload_create_params.rb
index 9b199b9d..aa01ef38 100644
--- a/lib/openai/models/upload_create_params.rb
+++ b/lib/openai/models/upload_create_params.rb
@@ -23,8 +23,8 @@ class UploadCreateParams < OpenAI::Internal::Type::BaseModel
       # @!attribute mime_type
       #   The MIME type of the file.
       #
-      #     This must fall within the supported MIME types for your file purpose. See the
-      #     supported MIME types for assistants and vision.
+      #   This must fall within the supported MIME types for your file purpose. See the
+      #   supported MIME types for assistants and vision.
       #
       #   @return [String]
       required :mime_type, String
@@ -32,8 +32,8 @@ class UploadCreateParams < OpenAI::Internal::Type::BaseModel
       # @!attribute purpose
       #   The intended purpose of the uploaded file.
       #
-      #     See the
-      #     [documentation on File purposes](https://platform.openai.com/docs/api-reference/files/create#files-create-purpose).
+      #   See the
+      #   [documentation on File purposes](https://platform.openai.com/docs/api-reference/files/create#files-create-purpose).
       #
       #   @return [Symbol, OpenAI::Models::FilePurpose]
       required :purpose, enum: -> { OpenAI::Models::FilePurpose }
diff --git a/lib/openai/models/vector_store.rb b/lib/openai/models/vector_store.rb
index 4b214ef5..9abda127 100644
--- a/lib/openai/models/vector_store.rb
+++ b/lib/openai/models/vector_store.rb
@@ -29,11 +29,11 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
       # @!attribute metadata
       #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #     for storing additional information about the object in a structured format, and
-      #     querying for objects via API or the dashboard.
+      #   for storing additional information about the object in a structured format, and
+      #   querying for objects via API or the dashboard.
       #
-      #     Keys are strings with a maximum length of 64 characters. Values are strings with
-      #     a maximum length of 512 characters.
+      #   Keys are strings with a maximum length of 64 characters. Values are strings with
+      #   a maximum length of 512 characters.
       #
       #   @return [Hash{Symbol=>String}, nil]
       required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -52,8 +52,8 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
       # @!attribute status
       #   The status of the vector store, which can be either `expired`, `in_progress`, or
-      #     `completed`. A status of `completed` indicates that the vector store is ready
-      #     for use.
+      #   `completed`. A status of `completed` indicates that the vector store is ready
+      #   for use.
       #
       #   @return [Symbol, OpenAI::Models::VectorStore::Status]
       required :status, enum: -> { OpenAI::Models::VectorStore::Status }
@@ -82,7 +82,7 @@ class VectorStore < OpenAI::Internal::Type::BaseModel
 
       # @!parse
       #   # A vector store is a collection of processed files can be used by the
-      #   #   `file_search` tool.
+      #   # `file_search` tool.
       #   #
       #   # @param id [String]
       #   # @param created_at [Integer]
@@ -160,8 +160,8 @@ class FileCounts < OpenAI::Internal::Type::BaseModel
       end
 
       # The status of the vector store, which can be either `expired`, `in_progress`, or
-      #   `completed`. A status of `completed` indicates that the vector store is ready
-      #   for use.
+      # `completed`. A status of `completed` indicates that the vector store is ready
+      # for use.
       #
       # @see OpenAI::Models::VectorStore#status
       module Status
@@ -182,7 +182,7 @@ module Status
       class ExpiresAfter < OpenAI::Internal::Type::BaseModel
         # @!attribute anchor
         #   Anchor timestamp after which the expiration policy applies. Supported anchors:
-        #     `last_active_at`.
+        #   `last_active_at`.
         #
         #   @return [Symbol, :last_active_at]
         required :anchor, const: :last_active_at
diff --git a/lib/openai/models/vector_store_create_params.rb b/lib/openai/models/vector_store_create_params.rb
index 42739728..8380c18b 100644
--- a/lib/openai/models/vector_store_create_params.rb
+++ b/lib/openai/models/vector_store_create_params.rb
@@ -10,7 +10,7 @@ class VectorStoreCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] chunking_strategy
       #   The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-      #     strategy. Only applicable if `file_ids` is non-empty.
+      #   strategy. Only applicable if `file_ids` is non-empty.
       #
       #   @return [OpenAI::Models::AutoFileChunkingStrategyParam, OpenAI::Models::StaticFileChunkingStrategyObjectParam, nil]
       optional :chunking_strategy, union: -> { OpenAI::Models::FileChunkingStrategyParam }
@@ -31,8 +31,8 @@ class VectorStoreCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] file_ids
       #   A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-      #     the vector store should use. Useful for tools like `file_search` that can access
-      #     files.
+      #   the vector store should use. Useful for tools like `file_search` that can access
+      #   files.
       #
       #   @return [Array<String>, nil]
       optional :file_ids, OpenAI::Internal::Type::ArrayOf[String]
@@ -43,11 +43,11 @@ class VectorStoreCreateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute metadata
       #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #     for storing additional information about the object in a structured format, and
-      #     querying for objects via API or the dashboard.
+      #   for storing additional information about the object in a structured format, and
+      #   querying for objects via API or the dashboard.
       #
-      #     Keys are strings with a maximum length of 64 characters. Values are strings with
-      #     a maximum length of 512 characters.
+      #   Keys are strings with a maximum length of 64 characters. Values are strings with
+      #   a maximum length of 512 characters.
       #
       #   @return [Hash{Symbol=>String}, nil]
       optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -87,7 +87,7 @@ class VectorStoreCreateParams < OpenAI::Internal::Type::BaseModel
       class ExpiresAfter < OpenAI::Internal::Type::BaseModel
         # @!attribute anchor
         #   Anchor timestamp after which the expiration policy applies. Supported anchors:
-        #     `last_active_at`.
+        #   `last_active_at`.
         #
         #   @return [Symbol, :last_active_at]
         required :anchor, const: :last_active_at
diff --git a/lib/openai/models/vector_store_list_params.rb b/lib/openai/models/vector_store_list_params.rb
index eaea91f5..345b2830 100644
--- a/lib/openai/models/vector_store_list_params.rb
+++ b/lib/openai/models/vector_store_list_params.rb
@@ -10,9 +10,9 @@ class VectorStoreListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] after
       #   A cursor for use in pagination. `after` is an object ID that defines your place
-      #     in the list. For instance, if you make a list request and receive 100 objects,
-      #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-      #     fetch the next page of the list.
+      #   in the list. For instance, if you make a list request and receive 100 objects,
+      #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+      #   fetch the next page of the list.
       #
       #   @return [String, nil]
       optional :after, String
@@ -23,9 +23,9 @@ class VectorStoreListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] before
       #   A cursor for use in pagination. `before` is an object ID that defines your place
-      #     in the list. For instance, if you make a list request and receive 100 objects,
-      #     starting with obj_foo, your subsequent call can include before=obj_foo in order
-      #     to fetch the previous page of the list.
+      #   in the list. For instance, if you make a list request and receive 100 objects,
+      #   starting with obj_foo, your subsequent call can include before=obj_foo in order
+      #   to fetch the previous page of the list.
       #
       #   @return [String, nil]
       optional :before, String
@@ -36,7 +36,7 @@ class VectorStoreListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] limit
       #   A limit on the number of objects to be returned. Limit can range between 1 and
-      #     100, and the default is 20.
+      #   100, and the default is 20.
       #
       #   @return [Integer, nil]
       optional :limit, Integer
@@ -47,7 +47,7 @@ class VectorStoreListParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] order
       #   Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-      #     order and `desc` for descending order.
+      #   order and `desc` for descending order.
       #
       #   @return [Symbol, OpenAI::Models::VectorStoreListParams::Order, nil]
       optional :order, enum: -> { OpenAI::Models::VectorStoreListParams::Order }
@@ -68,7 +68,7 @@ class VectorStoreListParams < OpenAI::Internal::Type::BaseModel
       # def initialize: (Hash | OpenAI::Internal::Type::BaseModel) -> void
 
       # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-      #   order and `desc` for descending order.
+      # order and `desc` for descending order.
       module Order
         extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/vector_store_search_params.rb b/lib/openai/models/vector_store_search_params.rb
index 6325952c..653db38a 100644
--- a/lib/openai/models/vector_store_search_params.rb
+++ b/lib/openai/models/vector_store_search_params.rb
@@ -26,7 +26,7 @@ class VectorStoreSearchParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute [r] max_num_results
       #   The maximum number of results to return. This number should be between 1 and 50
-      #     inclusive.
+      #   inclusive.
       #
       #   @return [Integer, nil]
       optional :max_num_results, Integer
diff --git a/lib/openai/models/vector_store_search_response.rb b/lib/openai/models/vector_store_search_response.rb
index 61475c54..6b076e29 100644
--- a/lib/openai/models/vector_store_search_response.rb
+++ b/lib/openai/models/vector_store_search_response.rb
@@ -6,10 +6,10 @@ module Models
     class VectorStoreSearchResponse < OpenAI::Internal::Type::BaseModel
       # @!attribute attributes
       #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #     for storing additional information about the object in a structured format, and
-      #     querying for objects via API or the dashboard. Keys are strings with a maximum
-      #     length of 64 characters. Values are strings with a maximum length of 512
-      #     characters, booleans, or numbers.
+      #   for storing additional information about the object in a structured format, and
+      #   querying for objects via API or the dashboard. Keys are strings with a maximum
+      #   length of 64 characters. Values are strings with a maximum length of 512
+      #   characters, booleans, or numbers.
       #
       #   @return [Hash{Symbol=>String, Float, Boolean}, nil]
       required :attributes,
diff --git a/lib/openai/models/vector_store_update_params.rb b/lib/openai/models/vector_store_update_params.rb
index 46a09e25..145e2808 100644
--- a/lib/openai/models/vector_store_update_params.rb
+++ b/lib/openai/models/vector_store_update_params.rb
@@ -16,11 +16,11 @@ class VectorStoreUpdateParams < OpenAI::Internal::Type::BaseModel
 
       # @!attribute metadata
       #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #     for storing additional information about the object in a structured format, and
-      #     querying for objects via API or the dashboard.
+      #   for storing additional information about the object in a structured format, and
+      #   querying for objects via API or the dashboard.
       #
-      #     Keys are strings with a maximum length of 64 characters. Values are strings with
-      #     a maximum length of 512 characters.
+      #   Keys are strings with a maximum length of 64 characters. Values are strings with
+      #   a maximum length of 512 characters.
       #
       #   @return [Hash{Symbol=>String}, nil]
       optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true
@@ -44,7 +44,7 @@ class VectorStoreUpdateParams < OpenAI::Internal::Type::BaseModel
       class ExpiresAfter < OpenAI::Internal::Type::BaseModel
         # @!attribute anchor
         #   Anchor timestamp after which the expiration policy applies. Supported anchors:
-        #     `last_active_at`.
+        #   `last_active_at`.
         #
         #   @return [Symbol, :last_active_at]
         required :anchor, const: :last_active_at
diff --git a/lib/openai/models/vector_stores/file_batch_create_params.rb b/lib/openai/models/vector_stores/file_batch_create_params.rb
index e6dd47c8..31d32b92 100644
--- a/lib/openai/models/vector_stores/file_batch_create_params.rb
+++ b/lib/openai/models/vector_stores/file_batch_create_params.rb
@@ -11,18 +11,18 @@ class FileBatchCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute file_ids
         #   A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-        #     the vector store should use. Useful for tools like `file_search` that can access
-        #     files.
+        #   the vector store should use. Useful for tools like `file_search` that can access
+        #   files.
         #
         #   @return [Array<String>]
         required :file_ids, OpenAI::Internal::Type::ArrayOf[String]
 
         # @!attribute attributes
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard. Keys are strings with a maximum
-        #     length of 64 characters. Values are strings with a maximum length of 512
-        #     characters, booleans, or numbers.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard. Keys are strings with a maximum
+        #   length of 64 characters. Values are strings with a maximum length of 512
+        #   characters, booleans, or numbers.
         #
         #   @return [Hash{Symbol=>String, Float, Boolean}, nil]
         optional :attributes,
@@ -31,7 +31,7 @@ class FileBatchCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] chunking_strategy
         #   The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-        #     strategy. Only applicable if `file_ids` is non-empty.
+        #   strategy. Only applicable if `file_ids` is non-empty.
         #
         #   @return [OpenAI::Models::AutoFileChunkingStrategyParam, OpenAI::Models::StaticFileChunkingStrategyObjectParam, nil]
         optional :chunking_strategy, union: -> { OpenAI::Models::FileChunkingStrategyParam }
diff --git a/lib/openai/models/vector_stores/file_batch_list_files_params.rb b/lib/openai/models/vector_stores/file_batch_list_files_params.rb
index 991ac9cc..0f0bacb3 100644
--- a/lib/openai/models/vector_stores/file_batch_list_files_params.rb
+++ b/lib/openai/models/vector_stores/file_batch_list_files_params.rb
@@ -16,9 +16,9 @@ class FileBatchListFilesParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] after
         #   A cursor for use in pagination. `after` is an object ID that defines your place
-        #     in the list. For instance, if you make a list request and receive 100 objects,
-        #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #     fetch the next page of the list.
+        #   in the list. For instance, if you make a list request and receive 100 objects,
+        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        #   fetch the next page of the list.
         #
         #   @return [String, nil]
         optional :after, String
@@ -29,9 +29,9 @@ class FileBatchListFilesParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] before
         #   A cursor for use in pagination. `before` is an object ID that defines your place
-        #     in the list. For instance, if you make a list request and receive 100 objects,
-        #     starting with obj_foo, your subsequent call can include before=obj_foo in order
-        #     to fetch the previous page of the list.
+        #   in the list. For instance, if you make a list request and receive 100 objects,
+        #   starting with obj_foo, your subsequent call can include before=obj_foo in order
+        #   to fetch the previous page of the list.
         #
         #   @return [String, nil]
         optional :before, String
@@ -52,7 +52,7 @@ class FileBatchListFilesParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] limit
         #   A limit on the number of objects to be returned. Limit can range between 1 and
-        #     100, and the default is 20.
+        #   100, and the default is 20.
         #
         #   @return [Integer, nil]
         optional :limit, Integer
@@ -63,7 +63,7 @@ class FileBatchListFilesParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] order
         #   Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #     order and `desc` for descending order.
+        #   order and `desc` for descending order.
         #
         #   @return [Symbol, OpenAI::Models::VectorStores::FileBatchListFilesParams::Order, nil]
         optional :order, enum: -> { OpenAI::Models::VectorStores::FileBatchListFilesParams::Order }
@@ -102,7 +102,7 @@ module Filter
         end
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/vector_stores/file_create_params.rb b/lib/openai/models/vector_stores/file_create_params.rb
index 37899d8f..6767c7dc 100644
--- a/lib/openai/models/vector_stores/file_create_params.rb
+++ b/lib/openai/models/vector_stores/file_create_params.rb
@@ -11,18 +11,18 @@ class FileCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute file_id
         #   A [File](https://platform.openai.com/docs/api-reference/files) ID that the
-        #     vector store should use. Useful for tools like `file_search` that can access
-        #     files.
+        #   vector store should use. Useful for tools like `file_search` that can access
+        #   files.
         #
         #   @return [String]
         required :file_id, String
 
         # @!attribute attributes
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard. Keys are strings with a maximum
-        #     length of 64 characters. Values are strings with a maximum length of 512
-        #     characters, booleans, or numbers.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard. Keys are strings with a maximum
+        #   length of 64 characters. Values are strings with a maximum length of 512
+        #   characters, booleans, or numbers.
         #
         #   @return [Hash{Symbol=>String, Float, Boolean}, nil]
         optional :attributes,
@@ -31,7 +31,7 @@ class FileCreateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] chunking_strategy
         #   The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-        #     strategy. Only applicable if `file_ids` is non-empty.
+        #   strategy. Only applicable if `file_ids` is non-empty.
         #
         #   @return [OpenAI::Models::AutoFileChunkingStrategyParam, OpenAI::Models::StaticFileChunkingStrategyObjectParam, nil]
         optional :chunking_strategy, union: -> { OpenAI::Models::FileChunkingStrategyParam }
diff --git a/lib/openai/models/vector_stores/file_list_params.rb b/lib/openai/models/vector_stores/file_list_params.rb
index 0bcfb9d3..88d3a55c 100644
--- a/lib/openai/models/vector_stores/file_list_params.rb
+++ b/lib/openai/models/vector_stores/file_list_params.rb
@@ -11,9 +11,9 @@ class FileListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] after
         #   A cursor for use in pagination. `after` is an object ID that defines your place
-        #     in the list. For instance, if you make a list request and receive 100 objects,
-        #     ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #     fetch the next page of the list.
+        #   in the list. For instance, if you make a list request and receive 100 objects,
+        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        #   fetch the next page of the list.
         #
         #   @return [String, nil]
         optional :after, String
@@ -24,9 +24,9 @@ class FileListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] before
         #   A cursor for use in pagination. `before` is an object ID that defines your place
-        #     in the list. For instance, if you make a list request and receive 100 objects,
-        #     starting with obj_foo, your subsequent call can include before=obj_foo in order
-        #     to fetch the previous page of the list.
+        #   in the list. For instance, if you make a list request and receive 100 objects,
+        #   starting with obj_foo, your subsequent call can include before=obj_foo in order
+        #   to fetch the previous page of the list.
         #
         #   @return [String, nil]
         optional :before, String
@@ -47,7 +47,7 @@ class FileListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] limit
         #   A limit on the number of objects to be returned. Limit can range between 1 and
-        #     100, and the default is 20.
+        #   100, and the default is 20.
         #
         #   @return [Integer, nil]
         optional :limit, Integer
@@ -58,7 +58,7 @@ class FileListParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute [r] order
         #   Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #     order and `desc` for descending order.
+        #   order and `desc` for descending order.
         #
         #   @return [Symbol, OpenAI::Models::VectorStores::FileListParams::Order, nil]
         optional :order, enum: -> { OpenAI::Models::VectorStores::FileListParams::Order }
@@ -96,7 +96,7 @@ module Filter
         end
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/lib/openai/models/vector_stores/file_update_params.rb b/lib/openai/models/vector_stores/file_update_params.rb
index 7f72b454..2e5f4d52 100644
--- a/lib/openai/models/vector_stores/file_update_params.rb
+++ b/lib/openai/models/vector_stores/file_update_params.rb
@@ -16,10 +16,10 @@ class FileUpdateParams < OpenAI::Internal::Type::BaseModel
 
         # @!attribute attributes
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard. Keys are strings with a maximum
-        #     length of 64 characters. Values are strings with a maximum length of 512
-        #     characters, booleans, or numbers.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard. Keys are strings with a maximum
+        #   length of 64 characters. Values are strings with a maximum length of 512
+        #   characters, booleans, or numbers.
         #
         #   @return [Hash{Symbol=>String, Float, Boolean}, nil]
         required :attributes,
diff --git a/lib/openai/models/vector_stores/vector_store_file.rb b/lib/openai/models/vector_stores/vector_store_file.rb
index 7845ce47..71ba4e7d 100644
--- a/lib/openai/models/vector_stores/vector_store_file.rb
+++ b/lib/openai/models/vector_stores/vector_store_file.rb
@@ -19,7 +19,7 @@ class VectorStoreFile < OpenAI::Internal::Type::BaseModel
 
         # @!attribute last_error
         #   The last error associated with this vector store file. Will be `null` if there
-        #     are no errors.
+        #   are no errors.
         #
         #   @return [OpenAI::Models::VectorStores::VectorStoreFile::LastError, nil]
         required :last_error, -> { OpenAI::Models::VectorStores::VectorStoreFile::LastError }, nil?: true
@@ -32,34 +32,34 @@ class VectorStoreFile < OpenAI::Internal::Type::BaseModel
 
         # @!attribute status
         #   The status of the vector store file, which can be either `in_progress`,
-        #     `completed`, `cancelled`, or `failed`. The status `completed` indicates that the
-        #     vector store file is ready for use.
+        #   `completed`, `cancelled`, or `failed`. The status `completed` indicates that the
+        #   vector store file is ready for use.
         #
         #   @return [Symbol, OpenAI::Models::VectorStores::VectorStoreFile::Status]
         required :status, enum: -> { OpenAI::Models::VectorStores::VectorStoreFile::Status }
 
         # @!attribute usage_bytes
         #   The total vector store usage in bytes. Note that this may be different from the
-        #     original file size.
+        #   original file size.
         #
         #   @return [Integer]
         required :usage_bytes, Integer
 
         # @!attribute vector_store_id
         #   The ID of the
-        #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-        #     that the [File](https://platform.openai.com/docs/api-reference/files) is
-        #     attached to.
+        #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+        #   that the [File](https://platform.openai.com/docs/api-reference/files) is
+        #   attached to.
         #
         #   @return [String]
         required :vector_store_id, String
 
         # @!attribute attributes
         #   Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #     for storing additional information about the object in a structured format, and
-        #     querying for objects via API or the dashboard. Keys are strings with a maximum
-        #     length of 64 characters. Values are strings with a maximum length of 512
-        #     characters, booleans, or numbers.
+        #   for storing additional information about the object in a structured format, and
+        #   querying for objects via API or the dashboard. Keys are strings with a maximum
+        #   length of 64 characters. Values are strings with a maximum length of 512
+        #   characters, booleans, or numbers.
         #
         #   @return [Hash{Symbol=>String, Float, Boolean}, nil]
         optional :attributes,
@@ -122,7 +122,7 @@ class LastError < OpenAI::Internal::Type::BaseModel
 
           # @!parse
           #   # The last error associated with this vector store file. Will be `null` if there
-          #   #   are no errors.
+          #   # are no errors.
           #   #
           #   # @param code [Symbol, OpenAI::Models::VectorStores::VectorStoreFile::LastError::Code]
           #   # @param message [String]
@@ -150,8 +150,8 @@ module Code
         end
 
         # The status of the vector store file, which can be either `in_progress`,
-        #   `completed`, `cancelled`, or `failed`. The status `completed` indicates that the
-        #   vector store file is ready for use.
+        # `completed`, `cancelled`, or `failed`. The status `completed` indicates that the
+        # vector store file is ready for use.
         #
         # @see OpenAI::Models::VectorStores::VectorStoreFile#status
         module Status
diff --git a/lib/openai/models/vector_stores/vector_store_file_batch.rb b/lib/openai/models/vector_stores/vector_store_file_batch.rb
index ebcd7390..55e8644b 100644
--- a/lib/openai/models/vector_stores/vector_store_file_batch.rb
+++ b/lib/openai/models/vector_stores/vector_store_file_batch.rb
@@ -13,7 +13,7 @@ class VectorStoreFileBatch < OpenAI::Internal::Type::BaseModel
 
         # @!attribute created_at
         #   The Unix timestamp (in seconds) for when the vector store files batch was
-        #     created.
+        #   created.
         #
         #   @return [Integer]
         required :created_at, Integer
@@ -31,16 +31,16 @@ class VectorStoreFileBatch < OpenAI::Internal::Type::BaseModel
 
         # @!attribute status
         #   The status of the vector store files batch, which can be either `in_progress`,
-        #     `completed`, `cancelled` or `failed`.
+        #   `completed`, `cancelled` or `failed`.
         #
         #   @return [Symbol, OpenAI::Models::VectorStores::VectorStoreFileBatch::Status]
         required :status, enum: -> { OpenAI::Models::VectorStores::VectorStoreFileBatch::Status }
 
         # @!attribute vector_store_id
         #   The ID of the
-        #     [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-        #     that the [File](https://platform.openai.com/docs/api-reference/files) is
-        #     attached to.
+        #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+        #   that the [File](https://platform.openai.com/docs/api-reference/files) is
+        #   attached to.
         #
         #   @return [String]
         required :vector_store_id, String
@@ -104,7 +104,7 @@ class FileCounts < OpenAI::Internal::Type::BaseModel
         end
 
         # The status of the vector store files batch, which can be either `in_progress`,
-        #   `completed`, `cancelled` or `failed`.
+        # `completed`, `cancelled` or `failed`.
         #
         # @see OpenAI::Models::VectorStores::VectorStoreFileBatch#status
         module Status
diff --git a/lib/openai/request_options.rb b/lib/openai/request_options.rb
index 5f374fb2..f4eaf933 100644
--- a/lib/openai/request_options.rb
+++ b/lib/openai/request_options.rb
@@ -2,10 +2,10 @@
 
 module OpenAI
   # Specify HTTP behaviour to use for a specific request. These options supplement
-  #   or override those provided at the client level.
+  # or override those provided at the client level.
   #
-  #   When making a request, you can pass an actual {RequestOptions} instance, or
-  #   simply pass a Hash with symbol keys matching the attributes on this class.
+  # When making a request, you can pass an actual {RequestOptions} instance, or
+  # simply pass a Hash with symbol keys matching the attributes on this class.
   class RequestOptions < OpenAI::Internal::Type::BaseModel
     # @api private
     #
@@ -27,28 +27,28 @@ def self.validate!(opts)
 
     # @!attribute idempotency_key
     #   Idempotency key to send with request and all associated retries. Will only be
-    #     sent for write requests.
+    #   sent for write requests.
     #
     #   @return [String, nil]
     optional :idempotency_key, String
 
     # @!attribute extra_query
     #   Extra query params to send with the request. These are `.merge`’d into any
-    #     `query` given at the client level.
+    #   `query` given at the client level.
     #
     #   @return [Hash{String=>Array<String>, String, nil}, nil]
     optional :extra_query, OpenAI::Internal::Type::HashOf[OpenAI::Internal::Type::ArrayOf[String]]
 
     # @!attribute extra_headers
     #   Extra headers to send with the request. These are `.merged`’d into any
-    #     `extra_headers` given at the client level.
+    #   `extra_headers` given at the client level.
     #
     #   @return [Hash{String=>String, nil}, nil]
     optional :extra_headers, OpenAI::Internal::Type::HashOf[String, nil?: true]
 
     # @!attribute extra_body
     #   Extra data to send with the request. These are deep merged into any data
-    #     generated as part of the normal request.
+    #   generated as part of the normal request.
     #
     #   @return [Object, nil]
     optional :extra_body, OpenAI::Internal::Type::HashOf[OpenAI::Internal::Type::Unknown]
diff --git a/lib/openai/resources/audio/transcriptions.rb b/lib/openai/resources/audio/transcriptions.rb
index 2a669ca4..647f80c8 100644
--- a/lib/openai/resources/audio/transcriptions.rb
+++ b/lib/openai/resources/audio/transcriptions.rb
@@ -5,9 +5,9 @@ module Resources
     class Audio
       class Transcriptions
         # See {OpenAI::Resources::Audio::Transcriptions#create_streaming} for streaming
-        #   counterpart.
+        # counterpart.
         #
-        #   Transcribes audio into the input language.
+        # Transcribes audio into the input language.
         #
         # @overload create(file:, model:, include: nil, language: nil, prompt: nil, response_format: nil, temperature: nil, timestamp_granularities: nil, request_options: {})
         #
@@ -41,9 +41,9 @@ def create(params)
         end
 
         # See {OpenAI::Resources::Audio::Transcriptions#create} for non-streaming
-        #   counterpart.
+        # counterpart.
         #
-        #   Transcribes audio into the input language.
+        # Transcribes audio into the input language.
         #
         # @overload create_streaming(file:, model:, include: nil, language: nil, prompt: nil, response_format: nil, temperature: nil, timestamp_granularities: nil, request_options: {})
         #
diff --git a/lib/openai/resources/batches.rb b/lib/openai/resources/batches.rb
index fdd3806a..84f5ad93 100644
--- a/lib/openai/resources/batches.rb
+++ b/lib/openai/resources/batches.rb
@@ -70,8 +70,8 @@ def list(params = {})
       end
 
       # Cancels an in-progress batch. The batch will be in status `cancelling` for up to
-      #   10 minutes, before changing to `cancelled`, where it will have partial results
-      #   (if any) available in the output file.
+      # 10 minutes, before changing to `cancelled`, where it will have partial results
+      # (if any) available in the output file.
       #
       # @overload cancel(batch_id, request_options: {})
       #
diff --git a/lib/openai/resources/beta/threads.rb b/lib/openai/resources/beta/threads.rb
index 3eea6fe8..b72ad867 100644
--- a/lib/openai/resources/beta/threads.rb
+++ b/lib/openai/resources/beta/threads.rb
@@ -96,7 +96,7 @@ def delete(thread_id, params = {})
 
         # See {OpenAI::Resources::Beta::Threads#stream_raw} for streaming counterpart.
         #
-        #   Create a thread and run it in one request.
+        # Create a thread and run it in one request.
         #
         # @overload create_and_run(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: {})
         #
@@ -136,9 +136,9 @@ def create_and_run(params)
         end
 
         # See {OpenAI::Resources::Beta::Threads#create_and_run} for non-streaming
-        #   counterpart.
+        # counterpart.
         #
-        #   Create a thread and run it in one request.
+        # Create a thread and run it in one request.
         #
         # @overload stream_raw(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: {})
         #
diff --git a/lib/openai/resources/beta/threads/runs.rb b/lib/openai/resources/beta/threads/runs.rb
index cd12bbcc..8ebefd9c 100644
--- a/lib/openai/resources/beta/threads/runs.rb
+++ b/lib/openai/resources/beta/threads/runs.rb
@@ -9,9 +9,9 @@ class Runs
           attr_reader :steps
 
           # See {OpenAI::Resources::Beta::Threads::Runs#create_stream_raw} for streaming
-          #   counterpart.
+          # counterpart.
           #
-          #   Create a run.
+          # Create a run.
           #
           # @overload create(thread_id, assistant_id:, include: nil, additional_instructions: nil, additional_messages: nil, instructions: nil, max_completion_tokens: nil, max_prompt_tokens: nil, metadata: nil, model: nil, parallel_tool_calls: nil, reasoning_effort: nil, response_format: nil, temperature: nil, tool_choice: nil, tools: nil, top_p: nil, truncation_strategy: nil, request_options: {})
           #
@@ -56,9 +56,9 @@ def create(thread_id, params)
           end
 
           # See {OpenAI::Resources::Beta::Threads::Runs#create} for non-streaming
-          #   counterpart.
+          # counterpart.
           #
-          #   Create a run.
+          # Create a run.
           #
           # @overload create_stream_raw(thread_id, assistant_id:, include: nil, additional_instructions: nil, additional_messages: nil, instructions: nil, max_completion_tokens: nil, max_prompt_tokens: nil, metadata: nil, model: nil, parallel_tool_calls: nil, reasoning_effort: nil, response_format: nil, temperature: nil, tool_choice: nil, tools: nil, top_p: nil, truncation_strategy: nil, request_options: {})
           #
@@ -209,12 +209,12 @@ def cancel(run_id, params)
           end
 
           # See {OpenAI::Resources::Beta::Threads::Runs#submit_tool_outputs_stream_raw} for
-          #   streaming counterpart.
+          # streaming counterpart.
           #
-          #   When a run has the `status: "requires_action"` and `required_action.type` is
-          #   `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
-          #   tool calls once they're all completed. All outputs must be submitted in a single
-          #   request.
+          # When a run has the `status: "requires_action"` and `required_action.type` is
+          # `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
+          # tool calls once they're all completed. All outputs must be submitted in a single
+          # request.
           #
           # @overload submit_tool_outputs(run_id, thread_id:, tool_outputs:, request_options: {})
           #
@@ -246,12 +246,12 @@ def submit_tool_outputs(run_id, params)
           end
 
           # See {OpenAI::Resources::Beta::Threads::Runs#submit_tool_outputs} for
-          #   non-streaming counterpart.
+          # non-streaming counterpart.
           #
-          #   When a run has the `status: "requires_action"` and `required_action.type` is
-          #   `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
-          #   tool calls once they're all completed. All outputs must be submitted in a single
-          #   request.
+          # When a run has the `status: "requires_action"` and `required_action.type` is
+          # `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
+          # tool calls once they're all completed. All outputs must be submitted in a single
+          # request.
           #
           # @overload submit_tool_outputs_stream_raw(run_id, thread_id:, tool_outputs:, request_options: {})
           #
diff --git a/lib/openai/resources/chat/completions.rb b/lib/openai/resources/chat/completions.rb
index 8d816acc..499c9f52 100644
--- a/lib/openai/resources/chat/completions.rb
+++ b/lib/openai/resources/chat/completions.rb
@@ -9,23 +9,23 @@ class Completions
 
         # See {OpenAI::Resources::Chat::Completions#stream_raw} for streaming counterpart.
         #
-        #   **Starting a new project?** We recommend trying
-        #   [Responses](https://platform.openai.com/docs/api-reference/responses) to take
-        #   advantage of the latest OpenAI platform features. Compare
-        #   [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
+        # **Starting a new project?** We recommend trying
+        # [Responses](https://platform.openai.com/docs/api-reference/responses) to take
+        # advantage of the latest OpenAI platform features. Compare
+        # [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
         #
-        #   ---
+        # ---
         #
-        #   Creates a model response for the given chat conversation. Learn more in the
-        #   [text generation](https://platform.openai.com/docs/guides/text-generation),
-        #   [vision](https://platform.openai.com/docs/guides/vision), and
-        #   [audio](https://platform.openai.com/docs/guides/audio) guides.
+        # Creates a model response for the given chat conversation. Learn more in the
+        # [text generation](https://platform.openai.com/docs/guides/text-generation),
+        # [vision](https://platform.openai.com/docs/guides/vision), and
+        # [audio](https://platform.openai.com/docs/guides/audio) guides.
         #
-        #   Parameter support can differ depending on the model used to generate the
-        #   response, particularly for newer reasoning models. Parameters that are only
-        #   supported for reasoning models are noted below. For the current state of
-        #   unsupported parameters in reasoning models,
-        #   [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
+        # Parameter support can differ depending on the model used to generate the
+        # response, particularly for newer reasoning models. Parameters that are only
+        # supported for reasoning models are noted below. For the current state of
+        # unsupported parameters in reasoning models,
+        # [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
         #
         # @overload create(messages:, model:, audio: nil, frequency_penalty: nil, function_call: nil, functions: nil, logit_bias: nil, logprobs: nil, max_completion_tokens: nil, max_tokens: nil, metadata: nil, modalities: nil, n: nil, parallel_tool_calls: nil, prediction: nil, presence_penalty: nil, reasoning_effort: nil, response_format: nil, seed: nil, service_tier: nil, stop: nil, store: nil, stream_options: nil, temperature: nil, tool_choice: nil, tools: nil, top_logprobs: nil, top_p: nil, user: nil, web_search_options: nil, request_options: {})
         #
@@ -81,23 +81,23 @@ def create(params)
 
         # See {OpenAI::Resources::Chat::Completions#create} for non-streaming counterpart.
         #
-        #   **Starting a new project?** We recommend trying
-        #   [Responses](https://platform.openai.com/docs/api-reference/responses) to take
-        #   advantage of the latest OpenAI platform features. Compare
-        #   [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
+        # **Starting a new project?** We recommend trying
+        # [Responses](https://platform.openai.com/docs/api-reference/responses) to take
+        # advantage of the latest OpenAI platform features. Compare
+        # [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
         #
-        #   ---
+        # ---
         #
-        #   Creates a model response for the given chat conversation. Learn more in the
-        #   [text generation](https://platform.openai.com/docs/guides/text-generation),
-        #   [vision](https://platform.openai.com/docs/guides/vision), and
-        #   [audio](https://platform.openai.com/docs/guides/audio) guides.
+        # Creates a model response for the given chat conversation. Learn more in the
+        # [text generation](https://platform.openai.com/docs/guides/text-generation),
+        # [vision](https://platform.openai.com/docs/guides/vision), and
+        # [audio](https://platform.openai.com/docs/guides/audio) guides.
         #
-        #   Parameter support can differ depending on the model used to generate the
-        #   response, particularly for newer reasoning models. Parameters that are only
-        #   supported for reasoning models are noted below. For the current state of
-        #   unsupported parameters in reasoning models,
-        #   [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
+        # Parameter support can differ depending on the model used to generate the
+        # response, particularly for newer reasoning models. Parameters that are only
+        # supported for reasoning models are noted below. For the current state of
+        # unsupported parameters in reasoning models,
+        # [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
         #
         # @overload stream_raw(messages:, model:, audio: nil, frequency_penalty: nil, function_call: nil, functions: nil, logit_bias: nil, logprobs: nil, max_completion_tokens: nil, max_tokens: nil, metadata: nil, modalities: nil, n: nil, parallel_tool_calls: nil, prediction: nil, presence_penalty: nil, reasoning_effort: nil, response_format: nil, seed: nil, service_tier: nil, stop: nil, store: nil, stream_options: nil, temperature: nil, tool_choice: nil, tools: nil, top_logprobs: nil, top_p: nil, user: nil, web_search_options: nil, request_options: {})
         #
@@ -155,7 +155,7 @@ def stream_raw(params)
         end
 
         # Get a stored chat completion. Only Chat Completions that have been created with
-        #   the `store` parameter set to `true` will be returned.
+        # the `store` parameter set to `true` will be returned.
         #
         # @overload retrieve(completion_id, request_options: {})
         #
@@ -175,8 +175,8 @@ def retrieve(completion_id, params = {})
         end
 
         # Modify a stored chat completion. Only Chat Completions that have been created
-        #   with the `store` parameter set to `true` can be modified. Currently, the only
-        #   supported modification is to update the `metadata` field.
+        # with the `store` parameter set to `true` can be modified. Currently, the only
+        # supported modification is to update the `metadata` field.
         #
         # @overload update(completion_id, metadata:, request_options: {})
         #
@@ -199,7 +199,7 @@ def update(completion_id, params)
         end
 
         # List stored Chat Completions. Only Chat Completions that have been stored with
-        #   the `store` parameter set to `true` will be returned.
+        # the `store` parameter set to `true` will be returned.
         #
         # @overload list(after: nil, limit: nil, metadata: nil, model: nil, order: nil, request_options: {})
         #
@@ -226,7 +226,7 @@ def list(params = {})
         end
 
         # Delete a stored chat completion. Only Chat Completions that have been created
-        #   with the `store` parameter set to `true` can be deleted.
+        # with the `store` parameter set to `true` can be deleted.
         #
         # @overload delete(completion_id, request_options: {})
         #
diff --git a/lib/openai/resources/chat/completions/messages.rb b/lib/openai/resources/chat/completions/messages.rb
index 489df23b..ab3a3e19 100644
--- a/lib/openai/resources/chat/completions/messages.rb
+++ b/lib/openai/resources/chat/completions/messages.rb
@@ -6,7 +6,7 @@ class Chat
       class Completions
         class Messages
           # Get the messages in a stored chat completion. Only Chat Completions that have
-          #   been created with the `store` parameter set to `true` will be returned.
+          # been created with the `store` parameter set to `true` will be returned.
           #
           # @overload list(completion_id, after: nil, limit: nil, order: nil, request_options: {})
           #
diff --git a/lib/openai/resources/completions.rb b/lib/openai/resources/completions.rb
index 3440bd65..859c6b7f 100644
--- a/lib/openai/resources/completions.rb
+++ b/lib/openai/resources/completions.rb
@@ -5,7 +5,7 @@ module Resources
     class Completions
       # See {OpenAI::Resources::Completions#create_streaming} for streaming counterpart.
       #
-      #   Creates a completion for the provided prompt and parameters.
+      # Creates a completion for the provided prompt and parameters.
       #
       # @overload create(model:, prompt:, best_of: nil, echo: nil, frequency_penalty: nil, logit_bias: nil, logprobs: nil, max_tokens: nil, n: nil, presence_penalty: nil, seed: nil, stop: nil, stream_options: nil, suffix: nil, temperature: nil, top_p: nil, user: nil, request_options: {})
       #
@@ -48,7 +48,7 @@ def create(params)
 
       # See {OpenAI::Resources::Completions#create} for non-streaming counterpart.
       #
-      #   Creates a completion for the provided prompt and parameters.
+      # Creates a completion for the provided prompt and parameters.
       #
       # @overload create_streaming(model:, prompt:, best_of: nil, echo: nil, frequency_penalty: nil, logit_bias: nil, logprobs: nil, max_tokens: nil, n: nil, presence_penalty: nil, seed: nil, stop: nil, stream_options: nil, suffix: nil, temperature: nil, top_p: nil, user: nil, request_options: {})
       #
diff --git a/lib/openai/resources/files.rb b/lib/openai/resources/files.rb
index 2c1b995e..3dc1bc0e 100644
--- a/lib/openai/resources/files.rb
+++ b/lib/openai/resources/files.rb
@@ -4,26 +4,26 @@ module OpenAI
   module Resources
     class Files
       # Upload a file that can be used across various endpoints. Individual files can be
-      #   up to 512 MB, and the size of all files uploaded by one organization can be up
-      #   to 100 GB.
-      #
-      #   The Assistants API supports files up to 2 million tokens and of specific file
-      #   types. See the
-      #   [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for
-      #   details.
-      #
-      #   The Fine-tuning API only supports `.jsonl` files. The input also has certain
-      #   required formats for fine-tuning
-      #   [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or
-      #   [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
-      #   models.
-      #
-      #   The Batch API only supports `.jsonl` files up to 200 MB in size. The input also
-      #   has a specific required
-      #   [format](https://platform.openai.com/docs/api-reference/batch/request-input).
-      #
-      #   Please [contact us](https://help.openai.com/) if you need to increase these
-      #   storage limits.
+      # up to 512 MB, and the size of all files uploaded by one organization can be up
+      # to 100 GB.
+      #
+      # The Assistants API supports files up to 2 million tokens and of specific file
+      # types. See the
+      # [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for
+      # details.
+      #
+      # The Fine-tuning API only supports `.jsonl` files. The input also has certain
+      # required formats for fine-tuning
+      # [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or
+      # [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
+      # models.
+      #
+      # The Batch API only supports `.jsonl` files up to 200 MB in size. The input also
+      # has a specific required
+      # [format](https://platform.openai.com/docs/api-reference/batch/request-input).
+      #
+      # Please [contact us](https://help.openai.com/) if you need to increase these
+      # storage limits.
       #
       # @overload create(file:, purpose:, request_options: {})
       #
diff --git a/lib/openai/resources/fine_tuning/jobs.rb b/lib/openai/resources/fine_tuning/jobs.rb
index 8032932a..da5b8f03 100644
--- a/lib/openai/resources/fine_tuning/jobs.rb
+++ b/lib/openai/resources/fine_tuning/jobs.rb
@@ -8,12 +8,12 @@ class Jobs
         attr_reader :checkpoints
 
         # Creates a fine-tuning job which begins the process of creating a new model from
-        #   a given dataset.
+        # a given dataset.
         #
-        #   Response includes details of the enqueued job including job status and the name
-        #   of the fine-tuned models once complete.
+        # Response includes details of the enqueued job including job status and the name
+        # of the fine-tuned models once complete.
         #
-        #   [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
+        # [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
         #
         # @overload create(model:, training_file:, hyperparameters: nil, integrations: nil, metadata: nil, method_: nil, seed: nil, suffix: nil, validation_file: nil, request_options: {})
         #
@@ -44,7 +44,7 @@ def create(params)
 
         # Get info about a fine-tuning job.
         #
-        #   [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
+        # [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
         #
         # @overload retrieve(fine_tuning_job_id, request_options: {})
         #
diff --git a/lib/openai/resources/models.rb b/lib/openai/resources/models.rb
index 3ab368d3..b77422d4 100644
--- a/lib/openai/resources/models.rb
+++ b/lib/openai/resources/models.rb
@@ -4,7 +4,7 @@ module OpenAI
   module Resources
     class Models
       # Retrieves a model instance, providing basic information about the model such as
-      #   the owner and permissioning.
+      # the owner and permissioning.
       #
       # @overload retrieve(model, request_options: {})
       #
@@ -24,7 +24,7 @@ def retrieve(model, params = {})
       end
 
       # Lists the currently available models, and provides basic information about each
-      #   one such as the owner and availability.
+      # one such as the owner and availability.
       #
       # @overload list(request_options: {})
       #
@@ -44,7 +44,7 @@ def list(params = {})
       end
 
       # Delete a fine-tuned model. You must have the Owner role in your organization to
-      #   delete a model.
+      # delete a model.
       #
       # @overload delete(model, request_options: {})
       #
diff --git a/lib/openai/resources/moderations.rb b/lib/openai/resources/moderations.rb
index 802ccbd1..6df4561d 100644
--- a/lib/openai/resources/moderations.rb
+++ b/lib/openai/resources/moderations.rb
@@ -4,7 +4,7 @@ module OpenAI
   module Resources
     class Moderations
       # Classifies if text and/or image inputs are potentially harmful. Learn more in
-      #   the [moderation guide](https://platform.openai.com/docs/guides/moderation).
+      # the [moderation guide](https://platform.openai.com/docs/guides/moderation).
       #
       # @overload create(input:, model: nil, request_options: {})
       #
diff --git a/lib/openai/resources/responses.rb b/lib/openai/resources/responses.rb
index a4a9ff87..e77901b4 100644
--- a/lib/openai/resources/responses.rb
+++ b/lib/openai/resources/responses.rb
@@ -8,17 +8,17 @@ class Responses
 
       # See {OpenAI::Resources::Responses#stream_raw} for streaming counterpart.
       #
-      #   Creates a model response. Provide
-      #   [text](https://platform.openai.com/docs/guides/text) or
-      #   [image](https://platform.openai.com/docs/guides/images) inputs to generate
-      #   [text](https://platform.openai.com/docs/guides/text) or
-      #   [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have
-      #   the model call your own
-      #   [custom code](https://platform.openai.com/docs/guides/function-calling) or use
-      #   built-in [tools](https://platform.openai.com/docs/guides/tools) like
-      #   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-      #   [file search](https://platform.openai.com/docs/guides/tools-file-search) to use
-      #   your own data as input for the model's response.
+      # Creates a model response. Provide
+      # [text](https://platform.openai.com/docs/guides/text) or
+      # [image](https://platform.openai.com/docs/guides/images) inputs to generate
+      # [text](https://platform.openai.com/docs/guides/text) or
+      # [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have
+      # the model call your own
+      # [custom code](https://platform.openai.com/docs/guides/function-calling) or use
+      # built-in [tools](https://platform.openai.com/docs/guides/tools) like
+      # [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+      # [file search](https://platform.openai.com/docs/guides/tools-file-search) to use
+      # your own data as input for the model's response.
       #
       # @overload create(input:, model:, include: nil, instructions: nil, max_output_tokens: nil, metadata: nil, parallel_tool_calls: nil, previous_response_id: nil, reasoning: nil, store: nil, temperature: nil, text: nil, tool_choice: nil, tools: nil, top_p: nil, truncation: nil, user: nil, request_options: {})
       #
@@ -61,17 +61,17 @@ def create(params)
 
       # See {OpenAI::Resources::Responses#create} for non-streaming counterpart.
       #
-      #   Creates a model response. Provide
-      #   [text](https://platform.openai.com/docs/guides/text) or
-      #   [image](https://platform.openai.com/docs/guides/images) inputs to generate
-      #   [text](https://platform.openai.com/docs/guides/text) or
-      #   [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have
-      #   the model call your own
-      #   [custom code](https://platform.openai.com/docs/guides/function-calling) or use
-      #   built-in [tools](https://platform.openai.com/docs/guides/tools) like
-      #   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-      #   [file search](https://platform.openai.com/docs/guides/tools-file-search) to use
-      #   your own data as input for the model's response.
+      # Creates a model response. Provide
+      # [text](https://platform.openai.com/docs/guides/text) or
+      # [image](https://platform.openai.com/docs/guides/images) inputs to generate
+      # [text](https://platform.openai.com/docs/guides/text) or
+      # [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have
+      # the model call your own
+      # [custom code](https://platform.openai.com/docs/guides/function-calling) or use
+      # built-in [tools](https://platform.openai.com/docs/guides/tools) like
+      # [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+      # [file search](https://platform.openai.com/docs/guides/tools-file-search) to use
+      # your own data as input for the model's response.
       #
       # @overload stream_raw(input:, model:, include: nil, instructions: nil, max_output_tokens: nil, metadata: nil, parallel_tool_calls: nil, previous_response_id: nil, reasoning: nil, store: nil, temperature: nil, text: nil, tool_choice: nil, tools: nil, top_p: nil, truncation: nil, user: nil, request_options: {})
       #
diff --git a/lib/openai/resources/uploads.rb b/lib/openai/resources/uploads.rb
index 1f4fc2bf..1c497d22 100644
--- a/lib/openai/resources/uploads.rb
+++ b/lib/openai/resources/uploads.rb
@@ -7,24 +7,24 @@ class Uploads
       attr_reader :parts
 
       # Creates an intermediate
-      #   [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object
-      #   that you can add
-      #   [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.
-      #   Currently, an Upload can accept at most 8 GB in total and expires after an hour
-      #   after you create it.
+      # [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object
+      # that you can add
+      # [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.
+      # Currently, an Upload can accept at most 8 GB in total and expires after an hour
+      # after you create it.
       #
-      #   Once you complete the Upload, we will create a
-      #   [File](https://platform.openai.com/docs/api-reference/files/object) object that
-      #   contains all the parts you uploaded. This File is usable in the rest of our
-      #   platform as a regular File object.
+      # Once you complete the Upload, we will create a
+      # [File](https://platform.openai.com/docs/api-reference/files/object) object that
+      # contains all the parts you uploaded. This File is usable in the rest of our
+      # platform as a regular File object.
       #
-      #   For certain `purpose` values, the correct `mime_type` must be specified. Please
-      #   refer to documentation for the
-      #   [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).
+      # For certain `purpose` values, the correct `mime_type` must be specified. Please
+      # refer to documentation for the
+      # [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).
       #
-      #   For guidance on the proper filename extensions for each purpose, please follow
-      #   the documentation on
-      #   [creating a File](https://platform.openai.com/docs/api-reference/files/create).
+      # For guidance on the proper filename extensions for each purpose, please follow
+      # the documentation on
+      # [creating a File](https://platform.openai.com/docs/api-reference/files/create).
       #
       # @overload create(bytes:, filename:, mime_type:, purpose:, request_options: {})
       #
@@ -68,18 +68,18 @@ def cancel(upload_id, params = {})
       end
 
       # Completes the
-      #   [Upload](https://platform.openai.com/docs/api-reference/uploads/object).
+      # [Upload](https://platform.openai.com/docs/api-reference/uploads/object).
       #
-      #   Within the returned Upload object, there is a nested
-      #   [File](https://platform.openai.com/docs/api-reference/files/object) object that
-      #   is ready to use in the rest of the platform.
+      # Within the returned Upload object, there is a nested
+      # [File](https://platform.openai.com/docs/api-reference/files/object) object that
+      # is ready to use in the rest of the platform.
       #
-      #   You can specify the order of the Parts by passing in an ordered list of the Part
-      #   IDs.
+      # You can specify the order of the Parts by passing in an ordered list of the Part
+      # IDs.
       #
-      #   The number of bytes uploaded upon completion must match the number of bytes
-      #   initially specified when creating the Upload object. No Parts may be added after
-      #   an Upload is completed.
+      # The number of bytes uploaded upon completion must match the number of bytes
+      # initially specified when creating the Upload object. No Parts may be added after
+      # an Upload is completed.
       #
       # @overload complete(upload_id, part_ids:, md5: nil, request_options: {})
       #
diff --git a/lib/openai/resources/uploads/parts.rb b/lib/openai/resources/uploads/parts.rb
index 11eaeb11..343a20e3 100644
--- a/lib/openai/resources/uploads/parts.rb
+++ b/lib/openai/resources/uploads/parts.rb
@@ -5,16 +5,16 @@ module Resources
     class Uploads
       class Parts
         # Adds a
-        #   [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an
-        #   [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.
-        #   A Part represents a chunk of bytes from the file you are trying to upload.
+        # [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an
+        # [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.
+        # A Part represents a chunk of bytes from the file you are trying to upload.
         #
-        #   Each Part can be at most 64 MB, and you can add Parts until you hit the Upload
-        #   maximum of 8 GB.
+        # Each Part can be at most 64 MB, and you can add Parts until you hit the Upload
+        # maximum of 8 GB.
         #
-        #   It is possible to add multiple Parts in parallel. You can decide the intended
-        #   order of the Parts when you
-        #   [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).
+        # It is possible to add multiple Parts in parallel. You can decide the intended
+        # order of the Parts when you
+        # [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).
         #
         # @overload create(upload_id, data:, request_options: {})
         #
diff --git a/lib/openai/resources/vector_stores.rb b/lib/openai/resources/vector_stores.rb
index 1fc69777..3547ae53 100644
--- a/lib/openai/resources/vector_stores.rb
+++ b/lib/openai/resources/vector_stores.rb
@@ -122,7 +122,7 @@ def delete(vector_store_id, params = {})
       end
 
       # Search a vector store for relevant chunks based on a query and file attributes
-      #   filter.
+      # filter.
       #
       # @overload search(vector_store_id, query:, filters: nil, max_num_results: nil, ranking_options: nil, rewrite_query: nil, request_options: {})
       #
diff --git a/lib/openai/resources/vector_stores/file_batches.rb b/lib/openai/resources/vector_stores/file_batches.rb
index 5772d514..71268646 100644
--- a/lib/openai/resources/vector_stores/file_batches.rb
+++ b/lib/openai/resources/vector_stores/file_batches.rb
@@ -54,7 +54,7 @@ def retrieve(batch_id, params)
         end
 
         # Cancel a vector store file batch. This attempts to cancel the processing of
-        #   files in this batch as soon as possible.
+        # files in this batch as soon as possible.
         #
         # @overload cancel(batch_id, vector_store_id:, request_options: {})
         #
diff --git a/lib/openai/resources/vector_stores/files.rb b/lib/openai/resources/vector_stores/files.rb
index 0c044e34..9f6900e7 100644
--- a/lib/openai/resources/vector_stores/files.rb
+++ b/lib/openai/resources/vector_stores/files.rb
@@ -5,8 +5,8 @@ module Resources
     class VectorStores
       class Files
         # Create a vector store file by attaching a
-        #   [File](https://platform.openai.com/docs/api-reference/files) to a
-        #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).
+        # [File](https://platform.openai.com/docs/api-reference/files) to a
+        # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).
         #
         # @overload create(vector_store_id, file_id:, attributes: nil, chunking_strategy: nil, request_options: {})
         #
@@ -110,9 +110,9 @@ def list(vector_store_id, params = {})
         end
 
         # Delete a vector store file. This will remove the file from the vector store but
-        #   the file itself will not be deleted. To delete the file, use the
-        #   [delete file](https://platform.openai.com/docs/api-reference/files/delete)
-        #   endpoint.
+        # the file itself will not be deleted. To delete the file, use the
+        # [delete file](https://platform.openai.com/docs/api-reference/files/delete)
+        # endpoint.
         #
         # @overload delete(file_id, vector_store_id:, request_options: {})
         #
diff --git a/rbi/lib/openai/internal.rbi b/rbi/lib/openai/internal.rbi
index 42138966..76548034 100644
--- a/rbi/lib/openai/internal.rbi
+++ b/rbi/lib/openai/internal.rbi
@@ -4,7 +4,7 @@ module OpenAI
   # @api private
   module Internal
     # Due to the current WIP status of Shapes support in Sorbet, types referencing
-    #   this alias might be refined in the future.
+    # this alias might be refined in the future.
     AnyHash = T.type_alias { T::Hash[Symbol, T.anything] }
 
     OMIT = T.let(T.anything, T.anything)
diff --git a/rbi/lib/openai/internal/transport/base_client.rbi b/rbi/lib/openai/internal/transport/base_client.rbi
index b8b35744..5653189b 100644
--- a/rbi/lib/openai/internal/transport/base_client.rbi
+++ b/rbi/lib/openai/internal/transport/base_client.rbi
@@ -154,7 +154,7 @@ module OpenAI
         private def send_request(request, redirect_count:, retry_count:, send_retry_header:); end
 
         # Execute the request specified by `req`. This is the method that all resource
-        #   methods call into.
+        # methods call into.
         #
         # @overload request(method, path, query: {}, headers: {}, body: nil, unwrap: nil, page: nil, stream: nil, model: OpenAI::Internal::Type::Unknown, options: {})
         sig do
diff --git a/rbi/lib/openai/internal/transport/pooled_net_requester.rbi b/rbi/lib/openai/internal/transport/pooled_net_requester.rbi
index 35b91830..fb9572da 100644
--- a/rbi/lib/openai/internal/transport/pooled_net_requester.rbi
+++ b/rbi/lib/openai/internal/transport/pooled_net_requester.rbi
@@ -17,7 +17,7 @@ module OpenAI
           end
 
         # from the golang stdlib
-        #   https://github.com/golang/go/blob/c8eced8580028328fde7c03cbfcb720ce15b2358/src/net/http/transport.go#L49
+        # https://github.com/golang/go/blob/c8eced8580028328fde7c03cbfcb720ce15b2358/src/net/http/transport.go#L49
         KEEP_ALIVE_TIMEOUT = 30
 
         class << self
diff --git a/rbi/lib/openai/internal/type/base_model.rbi b/rbi/lib/openai/internal/type/base_model.rbi
index 8b8c9d16..0b0d262a 100644
--- a/rbi/lib/openai/internal/type/base_model.rbi
+++ b/rbi/lib/openai/internal/type/base_model.rbi
@@ -16,7 +16,7 @@ module OpenAI
           # @api private
           #
           # Assumes superclass fields are totally defined before fields are accessed /
-          #   defined on subclasses.
+          # defined on subclasses.
           sig do
             returns(
               T::Hash[
@@ -99,7 +99,7 @@ module OpenAI
           # @api private
           #
           # `request_only` attributes not excluded from `.#coerce` when receiving responses
-          #   even if well behaved servers should not send them
+          # even if well behaved servers should not send them
           sig { params(blk: T.proc.void).void }
           private def request_only(&blk); end
 
@@ -138,33 +138,33 @@ module OpenAI
         end
 
         # Returns the raw value associated with the given key, if found. Otherwise, nil is
-        #   returned.
+        # returned.
         #
-        #   It is valid to lookup keys that are not in the API spec, for example to access
-        #   undocumented features. This method does not parse response data into
-        #   higher-level types. Lookup by anything other than a Symbol is an ArgumentError.
+        # It is valid to lookup keys that are not in the API spec, for example to access
+        # undocumented features. This method does not parse response data into
+        # higher-level types. Lookup by anything other than a Symbol is an ArgumentError.
         sig { params(key: Symbol).returns(T.nilable(T.anything)) }
         def [](key); end
 
         # Returns a Hash of the data underlying this object. O(1)
         #
-        #   Keys are Symbols and values are the raw values from the response. The return
-        #   value indicates which values were ever set on the object. i.e. there will be a
-        #   key in this hash if they ever were, even if the set value was nil.
+        # Keys are Symbols and values are the raw values from the response. The return
+        # value indicates which values were ever set on the object. i.e. there will be a
+        # key in this hash if they ever were, even if the set value was nil.
         #
-        #   This method is not recursive. The returned value is shared by the object, so it
-        #   should not be mutated.
+        # This method is not recursive. The returned value is shared by the object, so it
+        # should not be mutated.
         sig { overridable.returns(OpenAI::Internal::AnyHash) }
         def to_h; end
 
         # Returns a Hash of the data underlying this object. O(1)
         #
-        #   Keys are Symbols and values are the raw values from the response. The return
-        #   value indicates which values were ever set on the object. i.e. there will be a
-        #   key in this hash if they ever were, even if the set value was nil.
+        # Keys are Symbols and values are the raw values from the response. The return
+        # value indicates which values were ever set on the object. i.e. there will be a
+        # key in this hash if they ever were, even if the set value was nil.
         #
-        #   This method is not recursive. The returned value is shared by the object, so it
-        #   should not be mutated.
+        # This method is not recursive. The returned value is shared by the object, so it
+        # should not be mutated.
         sig { overridable.returns(OpenAI::Internal::AnyHash) }
         def to_hash; end
 
diff --git a/rbi/lib/openai/internal/type/converter.rbi b/rbi/lib/openai/internal/type/converter.rbi
index 99bef8c2..cec2e8a2 100644
--- a/rbi/lib/openai/internal/type/converter.rbi
+++ b/rbi/lib/openai/internal/type/converter.rbi
@@ -51,13 +51,13 @@ module OpenAI
           #
           # Based on `target`, transform `value` into `target`, to the extent possible:
           #
-          #   1. if the given `value` conforms to `target` already, return the given `value`
-          #   2. if it's possible and safe to convert the given `value` to `target`, then the
-          #      converted value
-          #   3. otherwise, the given `value` unaltered
+          # 1. if the given `value` conforms to `target` already, return the given `value`
+          # 2. if it's possible and safe to convert the given `value` to `target`, then the
+          #    converted value
+          # 3. otherwise, the given `value` unaltered
           #
-          #   The coercion process is subject to improvement between minor release versions.
-          #   See https://docs.pydantic.dev/latest/concepts/unions/#smart-mode
+          # The coercion process is subject to improvement between minor release versions.
+          # See https://docs.pydantic.dev/latest/concepts/unions/#smart-mode
           sig do
             params(
               target: OpenAI::Internal::Type::Converter::Input,
@@ -70,24 +70,24 @@ module OpenAI
             target,
             value,
             # The `strictness` is one of `true`, `false`, or `:strong`. This informs the
-            #   coercion strategy when we have to decide between multiple possible conversion
-            #   targets:
+            # coercion strategy when we have to decide between multiple possible conversion
+            # targets:
             #
-            #   - `true`: the conversion must be exact, with minimum coercion.
-            #   - `false`: the conversion can be approximate, with some coercion.
-            #   - `:strong`: the conversion must be exact, with no coercion, and raise an error
-            #     if not possible.
+            # - `true`: the conversion must be exact, with minimum coercion.
+            # - `false`: the conversion can be approximate, with some coercion.
+            # - `:strong`: the conversion must be exact, with no coercion, and raise an error
+            #   if not possible.
             #
-            #   The `exactness` is `Hash` with keys being one of `yes`, `no`, or `maybe`. For
-            #   any given conversion attempt, the exactness will be updated based on how closely
-            #   the value recursively matches the target type:
+            # The `exactness` is `Hash` with keys being one of `yes`, `no`, or `maybe`. For
+            # any given conversion attempt, the exactness will be updated based on how closely
+            # the value recursively matches the target type:
             #
-            #   - `yes`: the value can be converted to the target type with minimum coercion.
-            #   - `maybe`: the value can be converted to the target type with some reasonable
-            #     coercion.
-            #   - `no`: the value cannot be converted to the target type.
+            # - `yes`: the value can be converted to the target type with minimum coercion.
+            # - `maybe`: the value can be converted to the target type with some reasonable
+            #   coercion.
+            # - `no`: the value cannot be converted to the target type.
             #
-            #   See implementation below for more details.
+            # See implementation below for more details.
             state: {strictness: true, exactness: {yes: 0, no: 0, maybe: 0}, branched: 0}
           ); end
           # @api private
diff --git a/rbi/lib/openai/internal/type/enum.rbi b/rbi/lib/openai/internal/type/enum.rbi
index 9fcc30ee..f74dc677 100644
--- a/rbi/lib/openai/internal/type/enum.rbi
+++ b/rbi/lib/openai/internal/type/enum.rbi
@@ -6,15 +6,15 @@ module OpenAI
       # @api private
       #
       # A value from among a specified list of options. OpenAPI enum values map to Ruby
-      #   values in the SDK as follows:
+      # values in the SDK as follows:
       #
-      #   1. boolean => true | false
-      #   2. integer => Integer
-      #   3. float => Float
-      #   4. string => Symbol
+      # 1. boolean => true | false
+      # 2. integer => Integer
+      # 3. float => Float
+      # 4. string => Symbol
       #
-      #   We can therefore convert string values to Symbols, but can't convert other
-      #   values safely.
+      # We can therefore convert string values to Symbols, but can't convert other
+      # values safely.
       module Enum
         include OpenAI::Internal::Type::Converter
 
@@ -37,7 +37,7 @@ module OpenAI
         # @api private
         #
         # Unlike with primitives, `Enum` additionally validates that the value is a member
-        #   of the enum.
+        # of the enum.
         sig do
           override
             .params(value: T.any(String, Symbol, T.anything), state: OpenAI::Internal::Type::Converter::State)
diff --git a/rbi/lib/openai/internal/util.rbi b/rbi/lib/openai/internal/util.rbi
index 36689b2b..60be3113 100644
--- a/rbi/lib/openai/internal/util.rbi
+++ b/rbi/lib/openai/internal/util.rbi
@@ -52,7 +52,7 @@ module OpenAI
         # @api private
         #
         # Recursively merge one hash with another. If the values at a given key are not
-        #   both hashes, just take the new value.
+        # both hashes, just take the new value.
         sig do
           params(values: T::Array[T.anything], sentinel: T.nilable(T.anything), concat: T::Boolean)
             .returns(T.anything)
diff --git a/rbi/lib/openai/models/audio/speech_create_params.rbi b/rbi/lib/openai/models/audio/speech_create_params.rbi
index 9a810d27..8dd902b4 100644
--- a/rbi/lib/openai/models/audio/speech_create_params.rbi
+++ b/rbi/lib/openai/models/audio/speech_create_params.rbi
@@ -12,19 +12,19 @@ module OpenAI
         attr_accessor :input
 
         # One of the available [TTS models](https://platform.openai.com/docs/models#tts):
-        #   `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
+        # `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
         sig { returns(T.any(String, OpenAI::Models::Audio::SpeechModel::OrSymbol)) }
         attr_accessor :model
 
         # The voice to use when generating the audio. Supported voices are `alloy`, `ash`,
-        #   `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
-        #   `verse`. Previews of the voices are available in the
-        #   [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
+        # `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
+        # `verse`. Previews of the voices are available in the
+        # [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
         sig { returns(T.any(String, OpenAI::Models::Audio::SpeechCreateParams::Voice::OrSymbol)) }
         attr_accessor :voice
 
         # Control the voice of your generated audio with additional instructions. Does not
-        #   work with `tts-1` or `tts-1-hd`.
+        # work with `tts-1` or `tts-1-hd`.
         sig { returns(T.nilable(String)) }
         attr_reader :instructions
 
@@ -32,7 +32,7 @@ module OpenAI
         attr_writer :instructions
 
         # The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`,
-        #   `wav`, and `pcm`.
+        # `wav`, and `pcm`.
         sig { returns(T.nilable(OpenAI::Models::Audio::SpeechCreateParams::ResponseFormat::OrSymbol)) }
         attr_reader :response_format
 
@@ -40,7 +40,7 @@ module OpenAI
         attr_writer :response_format
 
         # The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is
-        #   the default.
+        # the default.
         sig { returns(T.nilable(Float)) }
         attr_reader :speed
 
@@ -87,7 +87,7 @@ module OpenAI
         def to_hash; end
 
         # One of the available [TTS models](https://platform.openai.com/docs/models#tts):
-        #   `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
+        # `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -96,9 +96,9 @@ module OpenAI
         end
 
         # The voice to use when generating the audio. Supported voices are `alloy`, `ash`,
-        #   `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
-        #   `verse`. Previews of the voices are available in the
-        #   [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
+        # `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
+        # `verse`. Previews of the voices are available in the
+        # [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
         module Voice
           extend OpenAI::Internal::Type::Union
 
@@ -123,7 +123,7 @@ module OpenAI
         end
 
         # The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`,
-        #   `wav`, and `pcm`.
+        # `wav`, and `pcm`.
         module ResponseFormat
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/audio/transcription.rbi b/rbi/lib/openai/models/audio/transcription.rbi
index 97b95ef4..ccea9d77 100644
--- a/rbi/lib/openai/models/audio/transcription.rbi
+++ b/rbi/lib/openai/models/audio/transcription.rbi
@@ -9,8 +9,8 @@ module OpenAI
         attr_accessor :text
 
         # The log probabilities of the tokens in the transcription. Only returned with the
-        #   models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is added
-        #   to the `include` array.
+        # models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is added
+        # to the `include` array.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Audio::Transcription::Logprob])) }
         attr_reader :logprobs
 
@@ -23,7 +23,7 @@ module OpenAI
         attr_writer :logprobs
 
         # Represents a transcription response returned by model, based on the provided
-        #   input.
+        # input.
         sig do
           params(
             text: String,
diff --git a/rbi/lib/openai/models/audio/transcription_create_params.rbi b/rbi/lib/openai/models/audio/transcription_create_params.rbi
index 866e4c50..5511185c 100644
--- a/rbi/lib/openai/models/audio/transcription_create_params.rbi
+++ b/rbi/lib/openai/models/audio/transcription_create_params.rbi
@@ -8,21 +8,21 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # The audio file object (not file name) to transcribe, in one of these formats:
-        #   flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+        # flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
         sig { returns(T.any(IO, StringIO)) }
         attr_accessor :file
 
         # ID of the model to use. The options are `gpt-4o-transcribe`,
-        #   `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
-        #   Whisper V2 model).
+        # `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
+        # Whisper V2 model).
         sig { returns(T.any(String, OpenAI::Models::AudioModel::OrSymbol)) }
         attr_accessor :model
 
         # Additional information to include in the transcription response. `logprobs` will
-        #   return the log probabilities of the tokens in the response to understand the
-        #   model's confidence in the transcription. `logprobs` only works with
-        #   response_format set to `json` and only with the models `gpt-4o-transcribe` and
-        #   `gpt-4o-mini-transcribe`.
+        # return the log probabilities of the tokens in the response to understand the
+        # model's confidence in the transcription. `logprobs` only works with
+        # response_format set to `json` and only with the models `gpt-4o-transcribe` and
+        # `gpt-4o-mini-transcribe`.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Audio::TranscriptionInclude::OrSymbol])) }
         attr_reader :include
 
@@ -30,8 +30,8 @@ module OpenAI
         attr_writer :include
 
         # The language of the input audio. Supplying the input language in
-        #   [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
-        #   format will improve accuracy and latency.
+        # [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
+        # format will improve accuracy and latency.
         sig { returns(T.nilable(String)) }
         attr_reader :language
 
@@ -39,9 +39,9 @@ module OpenAI
         attr_writer :language
 
         # An optional text to guide the model's style or continue a previous audio
-        #   segment. The
-        #   [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
-        #   should match the audio language.
+        # segment. The
+        # [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+        # should match the audio language.
         sig { returns(T.nilable(String)) }
         attr_reader :prompt
 
@@ -49,8 +49,8 @@ module OpenAI
         attr_writer :prompt
 
         # The format of the output, in one of these options: `json`, `text`, `srt`,
-        #   `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
-        #   the only supported format is `json`.
+        # `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
+        # the only supported format is `json`.
         sig { returns(T.nilable(OpenAI::Models::AudioResponseFormat::OrSymbol)) }
         attr_reader :response_format
 
@@ -58,10 +58,10 @@ module OpenAI
         attr_writer :response_format
 
         # The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
-        #   output more random, while lower values like 0.2 will make it more focused and
-        #   deterministic. If set to 0, the model will use
-        #   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
-        #   automatically increase the temperature until certain thresholds are hit.
+        # output more random, while lower values like 0.2 will make it more focused and
+        # deterministic. If set to 0, the model will use
+        # [log probability](https://en.wikipedia.org/wiki/Log_probability) to
+        # automatically increase the temperature until certain thresholds are hit.
         sig { returns(T.nilable(Float)) }
         attr_reader :temperature
 
@@ -69,10 +69,10 @@ module OpenAI
         attr_writer :temperature
 
         # The timestamp granularities to populate for this transcription.
-        #   `response_format` must be set `verbose_json` to use timestamp granularities.
-        #   Either or both of these options are supported: `word`, or `segment`. Note: There
-        #   is no additional latency for segment timestamps, but generating word timestamps
-        #   incurs additional latency.
+        # `response_format` must be set `verbose_json` to use timestamp granularities.
+        # Either or both of these options are supported: `word`, or `segment`. Note: There
+        # is no additional latency for segment timestamps, but generating word timestamps
+        # incurs additional latency.
         sig do
           returns(
             T.nilable(T::Array[OpenAI::Models::Audio::TranscriptionCreateParams::TimestampGranularity::OrSymbol])
@@ -132,8 +132,8 @@ module OpenAI
         def to_hash; end
 
         # ID of the model to use. The options are `gpt-4o-transcribe`,
-        #   `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
-        #   Whisper V2 model).
+        # `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
+        # Whisper V2 model).
         module Model
           extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/audio/transcription_create_response.rbi b/rbi/lib/openai/models/audio/transcription_create_response.rbi
index ba3131e3..c6ca8f08 100644
--- a/rbi/lib/openai/models/audio/transcription_create_response.rbi
+++ b/rbi/lib/openai/models/audio/transcription_create_response.rbi
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     module Audio
       # Represents a transcription response returned by model, based on the provided
-      #   input.
+      # input.
       module TranscriptionCreateResponse
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/audio/transcription_segment.rbi b/rbi/lib/openai/models/audio/transcription_segment.rbi
index 60e0d8c4..37306ed0 100644
--- a/rbi/lib/openai/models/audio/transcription_segment.rbi
+++ b/rbi/lib/openai/models/audio/transcription_segment.rbi
@@ -9,12 +9,12 @@ module OpenAI
         attr_accessor :id
 
         # Average logprob of the segment. If the value is lower than -1, consider the
-        #   logprobs failed.
+        # logprobs failed.
         sig { returns(Float) }
         attr_accessor :avg_logprob
 
         # Compression ratio of the segment. If the value is greater than 2.4, consider the
-        #   compression failed.
+        # compression failed.
         sig { returns(Float) }
         attr_accessor :compression_ratio
 
@@ -23,7 +23,7 @@ module OpenAI
         attr_accessor :end_
 
         # Probability of no speech in the segment. If the value is higher than 1.0 and the
-        #   `avg_logprob` is below -1, consider this segment silent.
+        # `avg_logprob` is below -1, consider this segment silent.
         sig { returns(Float) }
         attr_accessor :no_speech_prob
 
diff --git a/rbi/lib/openai/models/audio/transcription_stream_event.rbi b/rbi/lib/openai/models/audio/transcription_stream_event.rbi
index d09c413a..4a3dc34e 100644
--- a/rbi/lib/openai/models/audio/transcription_stream_event.rbi
+++ b/rbi/lib/openai/models/audio/transcription_stream_event.rbi
@@ -4,9 +4,9 @@ module OpenAI
   module Models
     module Audio
       # Emitted when there is an additional text delta. This is also the first event
-      #   emitted when the transcription starts. Only emitted when you
-      #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-      #   with the `Stream` parameter set to `true`.
+      # emitted when the transcription starts. Only emitted when you
+      # [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+      # with the `Stream` parameter set to `true`.
       module TranscriptionStreamEvent
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/audio/transcription_text_delta_event.rbi b/rbi/lib/openai/models/audio/transcription_text_delta_event.rbi
index c37fbdd0..c0c5e553 100644
--- a/rbi/lib/openai/models/audio/transcription_text_delta_event.rbi
+++ b/rbi/lib/openai/models/audio/transcription_text_delta_event.rbi
@@ -13,8 +13,8 @@ module OpenAI
         attr_accessor :type
 
         # The log probabilities of the delta. Only included if you
-        #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-        #   with the `include[]` parameter set to `logprobs`.
+        # [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+        # with the `include[]` parameter set to `logprobs`.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Audio::TranscriptionTextDeltaEvent::Logprob])) }
         attr_reader :logprobs
 
@@ -27,9 +27,9 @@ module OpenAI
         attr_writer :logprobs
 
         # Emitted when there is an additional text delta. This is also the first event
-        #   emitted when the transcription starts. Only emitted when you
-        #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-        #   with the `Stream` parameter set to `true`.
+        # emitted when the transcription starts. Only emitted when you
+        # [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+        # with the `Stream` parameter set to `true`.
         sig do
           params(
             delta: String,
diff --git a/rbi/lib/openai/models/audio/transcription_text_done_event.rbi b/rbi/lib/openai/models/audio/transcription_text_done_event.rbi
index 03d16168..95c68dcc 100644
--- a/rbi/lib/openai/models/audio/transcription_text_done_event.rbi
+++ b/rbi/lib/openai/models/audio/transcription_text_done_event.rbi
@@ -13,9 +13,9 @@ module OpenAI
         attr_accessor :type
 
         # The log probabilities of the individual tokens in the transcription. Only
-        #   included if you
-        #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-        #   with the `include[]` parameter set to `logprobs`.
+        # included if you
+        # [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+        # with the `include[]` parameter set to `logprobs`.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Audio::TranscriptionTextDoneEvent::Logprob])) }
         attr_reader :logprobs
 
@@ -28,9 +28,9 @@ module OpenAI
         attr_writer :logprobs
 
         # Emitted when the transcription is complete. Contains the complete transcription
-        #   text. Only emitted when you
-        #   [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
-        #   with the `Stream` parameter set to `true`.
+        # text. Only emitted when you
+        # [create a transcription](https://platform.openai.com/docs/api-reference/audio/create-transcription)
+        # with the `Stream` parameter set to `true`.
         sig do
           params(
             text: String,
diff --git a/rbi/lib/openai/models/audio/transcription_verbose.rbi b/rbi/lib/openai/models/audio/transcription_verbose.rbi
index a8c181ae..76b0838c 100644
--- a/rbi/lib/openai/models/audio/transcription_verbose.rbi
+++ b/rbi/lib/openai/models/audio/transcription_verbose.rbi
@@ -34,7 +34,7 @@ module OpenAI
         attr_writer :words
 
         # Represents a verbose json transcription response returned by model, based on the
-        #   provided input.
+        # provided input.
         sig do
           params(
             duration: Float,
diff --git a/rbi/lib/openai/models/audio/translation_create_params.rbi b/rbi/lib/openai/models/audio/translation_create_params.rbi
index adc943d6..7e113ff2 100644
--- a/rbi/lib/openai/models/audio/translation_create_params.rbi
+++ b/rbi/lib/openai/models/audio/translation_create_params.rbi
@@ -8,19 +8,19 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # The audio file object (not file name) translate, in one of these formats: flac,
-        #   mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+        # mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
         sig { returns(T.any(IO, StringIO)) }
         attr_accessor :file
 
         # ID of the model to use. Only `whisper-1` (which is powered by our open source
-        #   Whisper V2 model) is currently available.
+        # Whisper V2 model) is currently available.
         sig { returns(T.any(String, OpenAI::Models::AudioModel::OrSymbol)) }
         attr_accessor :model
 
         # An optional text to guide the model's style or continue a previous audio
-        #   segment. The
-        #   [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
-        #   should be in English.
+        # segment. The
+        # [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+        # should be in English.
         sig { returns(T.nilable(String)) }
         attr_reader :prompt
 
@@ -28,7 +28,7 @@ module OpenAI
         attr_writer :prompt
 
         # The format of the output, in one of these options: `json`, `text`, `srt`,
-        #   `verbose_json`, or `vtt`.
+        # `verbose_json`, or `vtt`.
         sig { returns(T.nilable(OpenAI::Models::Audio::TranslationCreateParams::ResponseFormat::OrSymbol)) }
         attr_reader :response_format
 
@@ -36,10 +36,10 @@ module OpenAI
         attr_writer :response_format
 
         # The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
-        #   output more random, while lower values like 0.2 will make it more focused and
-        #   deterministic. If set to 0, the model will use
-        #   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
-        #   automatically increase the temperature until certain thresholds are hit.
+        # output more random, while lower values like 0.2 will make it more focused and
+        # deterministic. If set to 0, the model will use
+        # [log probability](https://en.wikipedia.org/wiki/Log_probability) to
+        # automatically increase the temperature until certain thresholds are hit.
         sig { returns(T.nilable(Float)) }
         attr_reader :temperature
 
@@ -76,7 +76,7 @@ module OpenAI
         def to_hash; end
 
         # ID of the model to use. Only `whisper-1` (which is powered by our open source
-        #   Whisper V2 model) is currently available.
+        # Whisper V2 model) is currently available.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -85,7 +85,7 @@ module OpenAI
         end
 
         # The format of the output, in one of these options: `json`, `text`, `srt`,
-        #   `verbose_json`, or `vtt`.
+        # `verbose_json`, or `vtt`.
         module ResponseFormat
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/audio_response_format.rbi b/rbi/lib/openai/models/audio_response_format.rbi
index c5d2582e..23a709ab 100644
--- a/rbi/lib/openai/models/audio_response_format.rbi
+++ b/rbi/lib/openai/models/audio_response_format.rbi
@@ -3,8 +3,8 @@
 module OpenAI
   module Models
     # The format of the output, in one of these options: `json`, `text`, `srt`,
-    #   `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
-    #   the only supported format is `json`.
+    # `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
+    # the only supported format is `json`.
     module AudioResponseFormat
       extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/auto_file_chunking_strategy_param.rbi b/rbi/lib/openai/models/auto_file_chunking_strategy_param.rbi
index d1ba038a..d072297d 100644
--- a/rbi/lib/openai/models/auto_file_chunking_strategy_param.rbi
+++ b/rbi/lib/openai/models/auto_file_chunking_strategy_param.rbi
@@ -8,7 +8,7 @@ module OpenAI
       attr_accessor :type
 
       # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
-      #   `800` and `chunk_overlap_tokens` of `400`.
+      # `800` and `chunk_overlap_tokens` of `400`.
       sig { params(type: Symbol).returns(T.attached_class) }
       def self.new(type: :auto); end
 
diff --git a/rbi/lib/openai/models/batch.rbi b/rbi/lib/openai/models/batch.rbi
index a8a659d1..7542c9b1 100644
--- a/rbi/lib/openai/models/batch.rbi
+++ b/rbi/lib/openai/models/batch.rbi
@@ -100,11 +100,11 @@ module OpenAI
       attr_writer :in_progress_at
 
       # Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #   for storing additional information about the object in a structured format, and
-      #   querying for objects via API or the dashboard.
+      # for storing additional information about the object in a structured format, and
+      # querying for objects via API or the dashboard.
       #
-      #   Keys are strings with a maximum length of 64 characters. Values are strings with
-      #   a maximum length of 512 characters.
+      # Keys are strings with a maximum length of 64 characters. Values are strings with
+      # a maximum length of 512 characters.
       sig { returns(T.nilable(T::Hash[Symbol, String])) }
       attr_accessor :metadata
 
diff --git a/rbi/lib/openai/models/batch_create_params.rbi b/rbi/lib/openai/models/batch_create_params.rbi
index f33919b3..6f907cae 100644
--- a/rbi/lib/openai/models/batch_create_params.rbi
+++ b/rbi/lib/openai/models/batch_create_params.rbi
@@ -7,35 +7,35 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # The time frame within which the batch should be processed. Currently only `24h`
-      #   is supported.
+      # is supported.
       sig { returns(OpenAI::Models::BatchCreateParams::CompletionWindow::OrSymbol) }
       attr_accessor :completion_window
 
       # The endpoint to be used for all requests in the batch. Currently
-      #   `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
-      #   are supported. Note that `/v1/embeddings` batches are also restricted to a
-      #   maximum of 50,000 embedding inputs across all requests in the batch.
+      # `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
+      # are supported. Note that `/v1/embeddings` batches are also restricted to a
+      # maximum of 50,000 embedding inputs across all requests in the batch.
       sig { returns(OpenAI::Models::BatchCreateParams::Endpoint::OrSymbol) }
       attr_accessor :endpoint
 
       # The ID of an uploaded file that contains requests for the new batch.
       #
-      #   See [upload file](https://platform.openai.com/docs/api-reference/files/create)
-      #   for how to upload a file.
+      # See [upload file](https://platform.openai.com/docs/api-reference/files/create)
+      # for how to upload a file.
       #
-      #   Your input file must be formatted as a
-      #   [JSONL file](https://platform.openai.com/docs/api-reference/batch/request-input),
-      #   and must be uploaded with the purpose `batch`. The file can contain up to 50,000
-      #   requests, and can be up to 200 MB in size.
+      # Your input file must be formatted as a
+      # [JSONL file](https://platform.openai.com/docs/api-reference/batch/request-input),
+      # and must be uploaded with the purpose `batch`. The file can contain up to 50,000
+      # requests, and can be up to 200 MB in size.
       sig { returns(String) }
       attr_accessor :input_file_id
 
       # Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #   for storing additional information about the object in a structured format, and
-      #   querying for objects via API or the dashboard.
+      # for storing additional information about the object in a structured format, and
+      # querying for objects via API or the dashboard.
       #
-      #   Keys are strings with a maximum length of 64 characters. Values are strings with
-      #   a maximum length of 512 characters.
+      # Keys are strings with a maximum length of 64 characters. Values are strings with
+      # a maximum length of 512 characters.
       sig { returns(T.nilable(T::Hash[Symbol, String])) }
       attr_accessor :metadata
 
@@ -66,7 +66,7 @@ module OpenAI
       def to_hash; end
 
       # The time frame within which the batch should be processed. Currently only `24h`
-      #   is supported.
+      # is supported.
       module CompletionWindow
         extend OpenAI::Internal::Type::Enum
 
@@ -81,9 +81,9 @@ module OpenAI
       end
 
       # The endpoint to be used for all requests in the batch. Currently
-      #   `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
-      #   are supported. Note that `/v1/embeddings` batches are also restricted to a
-      #   maximum of 50,000 embedding inputs across all requests in the batch.
+      # `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
+      # are supported. Note that `/v1/embeddings` batches are also restricted to a
+      # maximum of 50,000 embedding inputs across all requests in the batch.
       module Endpoint
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/batch_list_params.rbi b/rbi/lib/openai/models/batch_list_params.rbi
index a78f54c3..9ae31328 100644
--- a/rbi/lib/openai/models/batch_list_params.rbi
+++ b/rbi/lib/openai/models/batch_list_params.rbi
@@ -7,9 +7,9 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # A cursor for use in pagination. `after` is an object ID that defines your place
-      #   in the list. For instance, if you make a list request and receive 100 objects,
-      #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-      #   fetch the next page of the list.
+      # in the list. For instance, if you make a list request and receive 100 objects,
+      # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+      # fetch the next page of the list.
       sig { returns(T.nilable(String)) }
       attr_reader :after
 
@@ -17,7 +17,7 @@ module OpenAI
       attr_writer :after
 
       # A limit on the number of objects to be returned. Limit can range between 1 and
-      #   100, and the default is 20.
+      # 100, and the default is 20.
       sig { returns(T.nilable(Integer)) }
       attr_reader :limit
 
diff --git a/rbi/lib/openai/models/beta/assistant.rbi b/rbi/lib/openai/models/beta/assistant.rbi
index 4dbc147a..f8ef7368 100644
--- a/rbi/lib/openai/models/beta/assistant.rbi
+++ b/rbi/lib/openai/models/beta/assistant.rbi
@@ -17,24 +17,24 @@ module OpenAI
         attr_accessor :description
 
         # The system instructions that the assistant uses. The maximum length is 256,000
-        #   characters.
+        # characters.
         sig { returns(T.nilable(String)) }
         attr_accessor :instructions
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         sig { returns(String) }
         attr_accessor :model
 
@@ -47,8 +47,8 @@ module OpenAI
         attr_accessor :object
 
         # A list of tool enabled on the assistant. There can be a maximum of 128 tools per
-        #   assistant. Tools can be of types `code_interpreter`, `file_search`, or
-        #   `function`.
+        # assistant. Tools can be of types `code_interpreter`, `file_search`, or
+        # `function`.
         sig do
           returns(
             T::Array[
@@ -63,25 +63,25 @@ module OpenAI
         attr_accessor :tools
 
         # Specifies the format that the model must output. Compatible with
-        #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-        #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-        #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+        # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+        # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+        # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
         #
-        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #   in the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        # Outputs which ensures the model will match your supplied JSON schema. Learn more
+        # in the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-        #   message the model generates is valid JSON.
+        # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+        # message the model generates is valid JSON.
         #
-        #   **Important:** when using JSON mode, you **must** also instruct the model to
-        #   produce JSON yourself via a system or user message. Without this, the model may
-        #   generate an unending stream of whitespace until the generation reaches the token
-        #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-        #   the message content may be partially cut off if `finish_reason="length"`, which
-        #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-        #   max context length.
+        # **Important:** when using JSON mode, you **must** also instruct the model to
+        # produce JSON yourself via a system or user message. Without this, the model may
+        # generate an unending stream of whitespace until the generation reaches the token
+        # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+        # the message content may be partially cut off if `finish_reason="length"`, which
+        # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+        # max context length.
         sig do
           returns(
             T.nilable(
@@ -97,15 +97,15 @@ module OpenAI
         attr_accessor :response_format
 
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic.
         sig { returns(T.nilable(Float)) }
         attr_accessor :temperature
 
         # A set of resources that are used by the assistant's tools. The resources are
-        #   specific to the type of tool. For example, the `code_interpreter` tool requires
-        #   a list of file IDs, while the `file_search` tool requires a list of vector store
-        #   IDs.
+        # specific to the type of tool. For example, the `code_interpreter` tool requires
+        # a list of file IDs, while the `file_search` tool requires a list of vector store
+        # IDs.
         sig { returns(T.nilable(OpenAI::Models::Beta::Assistant::ToolResources)) }
         attr_reader :tool_resources
 
@@ -118,10 +118,10 @@ module OpenAI
         attr_writer :tool_resources
 
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or temperature but not both.
+        # We generally recommend altering this or temperature but not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :top_p
 
@@ -233,9 +233,9 @@ module OpenAI
           attr_writer :file_search
 
           # A set of resources that are used by the assistant's tools. The resources are
-          #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   IDs.
+          # specific to the type of tool. For example, the `code_interpreter` tool requires
+          # a list of file IDs, while the `file_search` tool requires a list of vector store
+          # IDs.
           sig do
             params(
               code_interpreter: T.any(OpenAI::Models::Beta::Assistant::ToolResources::CodeInterpreter, OpenAI::Internal::AnyHash),
@@ -258,8 +258,8 @@ module OpenAI
 
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #   available to the `code_interpreter`` tool. There can be a maximum of 20 files
-            #   associated with the tool.
+            # available to the `code_interpreter`` tool. There can be a maximum of 20 files
+            # associated with the tool.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :file_ids
 
@@ -275,9 +275,9 @@ module OpenAI
 
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # The ID of the
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   attached to this assistant. There can be a maximum of 1 vector store attached to
-            #   the assistant.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # attached to this assistant. There can be a maximum of 1 vector store attached to
+            # the assistant.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :vector_store_ids
 
diff --git a/rbi/lib/openai/models/beta/assistant_create_params.rbi b/rbi/lib/openai/models/beta/assistant_create_params.rbi
index b225b423..b0c7ab98 100644
--- a/rbi/lib/openai/models/beta/assistant_create_params.rbi
+++ b/rbi/lib/openai/models/beta/assistant_create_params.rbi
@@ -8,10 +8,10 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         sig { returns(T.any(String, OpenAI::Models::ChatModel::OrSymbol)) }
         attr_accessor :model
 
@@ -20,16 +20,16 @@ module OpenAI
         attr_accessor :description
 
         # The system instructions that the assistant uses. The maximum length is 256,000
-        #   characters.
+        # characters.
         sig { returns(T.nilable(String)) }
         attr_accessor :instructions
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
@@ -39,33 +39,33 @@ module OpenAI
 
         # **o-series models only**
         #
-        #   Constrains effort on reasoning for
-        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-        #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-        #   result in faster responses and fewer tokens used on reasoning in a response.
+        # Constrains effort on reasoning for
+        # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+        # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+        # result in faster responses and fewer tokens used on reasoning in a response.
         sig { returns(T.nilable(OpenAI::Models::ReasoningEffort::OrSymbol)) }
         attr_accessor :reasoning_effort
 
         # Specifies the format that the model must output. Compatible with
-        #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-        #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-        #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+        # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+        # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+        # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
         #
-        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #   in the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        # Outputs which ensures the model will match your supplied JSON schema. Learn more
+        # in the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-        #   message the model generates is valid JSON.
+        # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+        # message the model generates is valid JSON.
         #
-        #   **Important:** when using JSON mode, you **must** also instruct the model to
-        #   produce JSON yourself via a system or user message. Without this, the model may
-        #   generate an unending stream of whitespace until the generation reaches the token
-        #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-        #   the message content may be partially cut off if `finish_reason="length"`, which
-        #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-        #   max context length.
+        # **Important:** when using JSON mode, you **must** also instruct the model to
+        # produce JSON yourself via a system or user message. Without this, the model may
+        # generate an unending stream of whitespace until the generation reaches the token
+        # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+        # the message content may be partially cut off if `finish_reason="length"`, which
+        # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+        # max context length.
         sig do
           returns(
             T.nilable(
@@ -81,15 +81,15 @@ module OpenAI
         attr_accessor :response_format
 
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic.
         sig { returns(T.nilable(Float)) }
         attr_accessor :temperature
 
         # A set of resources that are used by the assistant's tools. The resources are
-        #   specific to the type of tool. For example, the `code_interpreter` tool requires
-        #   a list of file IDs, while the `file_search` tool requires a list of vector store
-        #   IDs.
+        # specific to the type of tool. For example, the `code_interpreter` tool requires
+        # a list of file IDs, while the `file_search` tool requires a list of vector store
+        # IDs.
         sig { returns(T.nilable(OpenAI::Models::Beta::AssistantCreateParams::ToolResources)) }
         attr_reader :tool_resources
 
@@ -102,8 +102,8 @@ module OpenAI
         attr_writer :tool_resources
 
         # A list of tool enabled on the assistant. There can be a maximum of 128 tools per
-        #   assistant. Tools can be of types `code_interpreter`, `file_search`, or
-        #   `function`.
+        # assistant. Tools can be of types `code_interpreter`, `file_search`, or
+        # `function`.
         sig do
           returns(
             T.nilable(
@@ -135,10 +135,10 @@ module OpenAI
         attr_writer :tools
 
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or temperature but not both.
+        # We generally recommend altering this or temperature but not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :top_p
 
@@ -223,10 +223,10 @@ module OpenAI
         def to_hash; end
 
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -261,9 +261,9 @@ module OpenAI
           attr_writer :file_search
 
           # A set of resources that are used by the assistant's tools. The resources are
-          #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   IDs.
+          # specific to the type of tool. For example, the `code_interpreter` tool requires
+          # a list of file IDs, while the `file_search` tool requires a list of vector store
+          # IDs.
           sig do
             params(
               code_interpreter: T.any(
@@ -289,8 +289,8 @@ module OpenAI
 
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #   associated with the tool.
+            # available to the `code_interpreter` tool. There can be a maximum of 20 files
+            # associated with the tool.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :file_ids
 
@@ -306,9 +306,9 @@ module OpenAI
 
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # The
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   attached to this assistant. There can be a maximum of 1 vector store attached to
-            #   the assistant.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # attached to this assistant. There can be a maximum of 1 vector store attached to
+            # the assistant.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :vector_store_ids
 
@@ -316,9 +316,9 @@ module OpenAI
             attr_writer :vector_store_ids
 
             # A helper to create a
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   with file_ids and attach it to this assistant. There can be a maximum of 1
-            #   vector store attached to the assistant.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # with file_ids and attach it to this assistant. There can be a maximum of 1
+            # vector store attached to the assistant.
             sig do
               returns(
                 T.nilable(T::Array[OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore])
@@ -366,7 +366,7 @@ module OpenAI
 
             class VectorStore < OpenAI::Internal::Type::BaseModel
               # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-              #   strategy.
+              # strategy.
               sig do
                 returns(
                   T.nilable(
@@ -392,8 +392,8 @@ module OpenAI
               attr_writer :chunking_strategy
 
               # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-              #   add to the vector store. There can be a maximum of 10000 files in a vector
-              #   store.
+              # add to the vector store. There can be a maximum of 10000 files in a vector
+              # store.
               sig { returns(T.nilable(T::Array[String])) }
               attr_reader :file_ids
 
@@ -401,11 +401,11 @@ module OpenAI
               attr_writer :file_ids
 
               # Set of 16 key-value pairs that can be attached to an object. This can be useful
-              #   for storing additional information about the object in a structured format, and
-              #   querying for objects via API or the dashboard.
+              # for storing additional information about the object in a structured format, and
+              # querying for objects via API or the dashboard.
               #
-              #   Keys are strings with a maximum length of 64 characters. Values are strings with
-              #   a maximum length of 512 characters.
+              # Keys are strings with a maximum length of 64 characters. Values are strings with
+              # a maximum length of 512 characters.
               sig { returns(T.nilable(T::Hash[Symbol, String])) }
               attr_accessor :metadata
 
@@ -439,7 +439,7 @@ module OpenAI
               def to_hash; end
 
               # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-              #   strategy.
+              # strategy.
               module ChunkingStrategy
                 extend OpenAI::Internal::Type::Union
 
@@ -449,7 +449,7 @@ module OpenAI
                   attr_accessor :type
 
                   # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
-                  #   `800` and `chunk_overlap_tokens` of `400`.
+                  # `800` and `chunk_overlap_tokens` of `400`.
                   sig { params(type: Symbol).returns(T.attached_class) }
                   def self.new(type: :auto); end
 
@@ -506,12 +506,12 @@ module OpenAI
                   class Static < OpenAI::Internal::Type::BaseModel
                     # The number of tokens that overlap between chunks. The default value is `400`.
                     #
-                    #   Note that the overlap must not exceed half of `max_chunk_size_tokens`.
+                    # Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                     sig { returns(Integer) }
                     attr_accessor :chunk_overlap_tokens
 
                     # The maximum number of tokens in each chunk. The default value is `800`. The
-                    #   minimum value is `100` and the maximum value is `4096`.
+                    # minimum value is `100` and the maximum value is `4096`.
                     sig { returns(Integer) }
                     attr_accessor :max_chunk_size_tokens
 
diff --git a/rbi/lib/openai/models/beta/assistant_list_params.rbi b/rbi/lib/openai/models/beta/assistant_list_params.rbi
index 9bf1cab2..52cd7565 100644
--- a/rbi/lib/openai/models/beta/assistant_list_params.rbi
+++ b/rbi/lib/openai/models/beta/assistant_list_params.rbi
@@ -8,9 +8,9 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # A cursor for use in pagination. `after` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #   fetch the next page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        # fetch the next page of the list.
         sig { returns(T.nilable(String)) }
         attr_reader :after
 
@@ -18,9 +18,9 @@ module OpenAI
         attr_writer :after
 
         # A cursor for use in pagination. `before` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-        #   to fetch the previous page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # starting with obj_foo, your subsequent call can include before=obj_foo in order
+        # to fetch the previous page of the list.
         sig { returns(T.nilable(String)) }
         attr_reader :before
 
@@ -28,7 +28,7 @@ module OpenAI
         attr_writer :before
 
         # A limit on the number of objects to be returned. Limit can range between 1 and
-        #   100, and the default is 20.
+        # 100, and the default is 20.
         sig { returns(T.nilable(Integer)) }
         attr_reader :limit
 
@@ -36,7 +36,7 @@ module OpenAI
         attr_writer :limit
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         sig { returns(T.nilable(OpenAI::Models::Beta::AssistantListParams::Order::OrSymbol)) }
         attr_reader :order
 
@@ -70,7 +70,7 @@ module OpenAI
         def to_hash; end
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/assistant_response_format_option.rbi b/rbi/lib/openai/models/beta/assistant_response_format_option.rbi
index 43f47c46..af1951eb 100644
--- a/rbi/lib/openai/models/beta/assistant_response_format_option.rbi
+++ b/rbi/lib/openai/models/beta/assistant_response_format_option.rbi
@@ -4,25 +4,25 @@ module OpenAI
   module Models
     module Beta
       # Specifies the format that the model must output. Compatible with
-      #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-      #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-      #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+      # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+      # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+      # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
       #
-      #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-      #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-      #   in the
-      #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+      # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+      # Outputs which ensures the model will match your supplied JSON schema. Learn more
+      # in the
+      # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
       #
-      #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-      #   message the model generates is valid JSON.
+      # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+      # message the model generates is valid JSON.
       #
-      #   **Important:** when using JSON mode, you **must** also instruct the model to
-      #   produce JSON yourself via a system or user message. Without this, the model may
-      #   generate an unending stream of whitespace until the generation reaches the token
-      #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-      #   the message content may be partially cut off if `finish_reason="length"`, which
-      #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-      #   max context length.
+      # **Important:** when using JSON mode, you **must** also instruct the model to
+      # produce JSON yourself via a system or user message. Without this, the model may
+      # generate an unending stream of whitespace until the generation reaches the token
+      # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+      # the message content may be partially cut off if `finish_reason="length"`, which
+      # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+      # max context length.
       module AssistantResponseFormatOption
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/beta/assistant_stream_event.rbi b/rbi/lib/openai/models/beta/assistant_stream_event.rbi
index 407895b1..5cb77eb2 100644
--- a/rbi/lib/openai/models/beta/assistant_stream_event.rbi
+++ b/rbi/lib/openai/models/beta/assistant_stream_event.rbi
@@ -5,30 +5,30 @@ module OpenAI
     module Beta
       # Represents an event emitted when streaming a Run.
       #
-      #   Each event in a server-sent events stream has an `event` and `data` property:
+      # Each event in a server-sent events stream has an `event` and `data` property:
       #
-      #   ```
-      #   event: thread.created
-      #   data: {"id": "thread_123", "object": "thread", ...}
-      #   ```
+      # ```
+      # event: thread.created
+      # data: {"id": "thread_123", "object": "thread", ...}
+      # ```
       #
-      #   We emit events whenever a new object is created, transitions to a new state, or
-      #   is being streamed in parts (deltas). For example, we emit `thread.run.created`
-      #   when a new run is created, `thread.run.completed` when a run completes, and so
-      #   on. When an Assistant chooses to create a message during a run, we emit a
-      #   `thread.message.created event`, a `thread.message.in_progress` event, many
-      #   `thread.message.delta` events, and finally a `thread.message.completed` event.
+      # We emit events whenever a new object is created, transitions to a new state, or
+      # is being streamed in parts (deltas). For example, we emit `thread.run.created`
+      # when a new run is created, `thread.run.completed` when a run completes, and so
+      # on. When an Assistant chooses to create a message during a run, we emit a
+      # `thread.message.created event`, a `thread.message.in_progress` event, many
+      # `thread.message.delta` events, and finally a `thread.message.completed` event.
       #
-      #   We may add additional events over time, so we recommend handling unknown events
-      #   gracefully in your code. See the
-      #   [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview)
-      #   to learn how to integrate the Assistants API with streaming.
+      # We may add additional events over time, so we recommend handling unknown events
+      # gracefully in your code. See the
+      # [Assistants API quickstart](https://platform.openai.com/docs/assistants/overview)
+      # to learn how to integrate the Assistants API with streaming.
       module AssistantStreamEvent
         extend OpenAI::Internal::Type::Union
 
         class ThreadCreated < OpenAI::Internal::Type::BaseModel
           # Represents a thread that contains
-          #   [messages](https://platform.openai.com/docs/api-reference/messages).
+          # [messages](https://platform.openai.com/docs/api-reference/messages).
           sig { returns(OpenAI::Models::Beta::Thread) }
           attr_reader :data
 
@@ -46,8 +46,8 @@ module OpenAI
           attr_writer :enabled
 
           # Occurs when a new
-          #   [thread](https://platform.openai.com/docs/api-reference/threads/object) is
-          #   created.
+          # [thread](https://platform.openai.com/docs/api-reference/threads/object) is
+          # created.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Thread, OpenAI::Internal::AnyHash),
@@ -64,7 +64,7 @@ module OpenAI
 
         class ThreadRunCreated < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -75,7 +75,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a new
-          #   [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
+          # [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -88,7 +88,7 @@ module OpenAI
 
         class ThreadRunQueued < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -99,7 +99,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   moves to a `queued` status.
+          # moves to a `queued` status.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -112,7 +112,7 @@ module OpenAI
 
         class ThreadRunInProgress < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -123,7 +123,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   moves to an `in_progress` status.
+          # moves to an `in_progress` status.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -136,7 +136,7 @@ module OpenAI
 
         class ThreadRunRequiresAction < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -147,7 +147,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   moves to a `requires_action` status.
+          # moves to a `requires_action` status.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -160,7 +160,7 @@ module OpenAI
 
         class ThreadRunCompleted < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -171,7 +171,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   is completed.
+          # is completed.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -184,7 +184,7 @@ module OpenAI
 
         class ThreadRunIncomplete < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -195,7 +195,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   ends with status `incomplete`.
+          # ends with status `incomplete`.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -208,7 +208,7 @@ module OpenAI
 
         class ThreadRunFailed < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -219,7 +219,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   fails.
+          # fails.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -232,7 +232,7 @@ module OpenAI
 
         class ThreadRunCancelling < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -243,7 +243,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   moves to a `cancelling` status.
+          # moves to a `cancelling` status.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -256,7 +256,7 @@ module OpenAI
 
         class ThreadRunCancelled < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -267,7 +267,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   is cancelled.
+          # is cancelled.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -280,7 +280,7 @@ module OpenAI
 
         class ThreadRunExpired < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -291,7 +291,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   expires.
+          # expires.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -314,8 +314,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   is created.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # is created.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -341,8 +341,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   moves to an `in_progress` state.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # moves to an `in_progress` state.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -358,7 +358,7 @@ module OpenAI
 
         class ThreadRunStepDelta < OpenAI::Internal::Type::BaseModel
           # Represents a run step delta i.e. any changed fields on a run step during
-          #   streaming.
+          # streaming.
           sig { returns(OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent) }
           attr_reader :data
 
@@ -371,8 +371,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when parts of a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   are being streamed.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # are being streamed.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent, OpenAI::Internal::AnyHash),
@@ -398,8 +398,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   is completed.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # is completed.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -425,8 +425,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   fails.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # fails.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -452,8 +452,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   is cancelled.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # is cancelled.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -479,8 +479,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   expires.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # expires.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -496,7 +496,7 @@ module OpenAI
 
         class ThreadMessageCreated < OpenAI::Internal::Type::BaseModel
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Message) }
           attr_reader :data
 
@@ -507,8 +507,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-          #   created.
+          # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+          # created.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Message, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -521,7 +521,7 @@ module OpenAI
 
         class ThreadMessageInProgress < OpenAI::Internal::Type::BaseModel
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Message) }
           attr_reader :data
 
@@ -532,8 +532,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [message](https://platform.openai.com/docs/api-reference/messages/object) moves
-          #   to an `in_progress` state.
+          # [message](https://platform.openai.com/docs/api-reference/messages/object) moves
+          # to an `in_progress` state.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Message, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -546,7 +546,7 @@ module OpenAI
 
         class ThreadMessageDelta < OpenAI::Internal::Type::BaseModel
           # Represents a message delta i.e. any changed fields on a message during
-          #   streaming.
+          # streaming.
           sig { returns(OpenAI::Models::Beta::Threads::MessageDeltaEvent) }
           attr_reader :data
 
@@ -557,8 +557,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when parts of a
-          #   [Message](https://platform.openai.com/docs/api-reference/messages/object) are
-          #   being streamed.
+          # [Message](https://platform.openai.com/docs/api-reference/messages/object) are
+          # being streamed.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::MessageDeltaEvent, OpenAI::Internal::AnyHash),
@@ -574,7 +574,7 @@ module OpenAI
 
         class ThreadMessageCompleted < OpenAI::Internal::Type::BaseModel
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Message) }
           attr_reader :data
 
@@ -585,8 +585,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-          #   completed.
+          # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+          # completed.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Message, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -599,7 +599,7 @@ module OpenAI
 
         class ThreadMessageIncomplete < OpenAI::Internal::Type::BaseModel
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Message) }
           attr_reader :data
 
@@ -610,8 +610,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [message](https://platform.openai.com/docs/api-reference/messages/object) ends
-          #   before it is completed.
+          # [message](https://platform.openai.com/docs/api-reference/messages/object) ends
+          # before it is completed.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Message, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -633,8 +633,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when an
-          #   [error](https://platform.openai.com/docs/guides/error-codes#api-errors) occurs.
-          #   This can happen due to an internal server error or a timeout.
+          # [error](https://platform.openai.com/docs/guides/error-codes#api-errors) occurs.
+          # This can happen due to an internal server error or a timeout.
           sig do
             params(data: T.any(OpenAI::Models::ErrorObject, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
diff --git a/rbi/lib/openai/models/beta/assistant_tool_choice.rbi b/rbi/lib/openai/models/beta/assistant_tool_choice.rbi
index 71efdfec..4b2436cd 100644
--- a/rbi/lib/openai/models/beta/assistant_tool_choice.rbi
+++ b/rbi/lib/openai/models/beta/assistant_tool_choice.rbi
@@ -15,7 +15,7 @@ module OpenAI
         attr_writer :function
 
         # Specifies a tool the model should use. Use to force the model to call a specific
-        #   tool.
+        # tool.
         sig do
           params(
             type: OpenAI::Models::Beta::AssistantToolChoice::Type::OrSymbol,
diff --git a/rbi/lib/openai/models/beta/assistant_tool_choice_option.rbi b/rbi/lib/openai/models/beta/assistant_tool_choice_option.rbi
index 88d3b4e5..ce3df8b3 100644
--- a/rbi/lib/openai/models/beta/assistant_tool_choice_option.rbi
+++ b/rbi/lib/openai/models/beta/assistant_tool_choice_option.rbi
@@ -4,19 +4,19 @@ module OpenAI
   module Models
     module Beta
       # Controls which (if any) tool is called by the model. `none` means the model will
-      #   not call any tools and instead generates a message. `auto` is the default value
-      #   and means the model can pick between generating a message or calling one or more
-      #   tools. `required` means the model must call one or more tools before responding
-      #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
-      #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-      #   call that tool.
+      # not call any tools and instead generates a message. `auto` is the default value
+      # and means the model can pick between generating a message or calling one or more
+      # tools. `required` means the model must call one or more tools before responding
+      # to the user. Specifying a particular tool like `{"type": "file_search"}` or
+      # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+      # call that tool.
       module AssistantToolChoiceOption
         extend OpenAI::Internal::Type::Union
 
         # `none` means the model will not call any tools and instead generates a message.
-        #   `auto` means the model can pick between generating a message or calling one or
-        #   more tools. `required` means the model must call one or more tools before
-        #   responding to the user.
+        # `auto` means the model can pick between generating a message or calling one or
+        # more tools. `required` means the model must call one or more tools before
+        # responding to the user.
         module Auto
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/assistant_update_params.rbi b/rbi/lib/openai/models/beta/assistant_update_params.rbi
index 10c48190..eb334355 100644
--- a/rbi/lib/openai/models/beta/assistant_update_params.rbi
+++ b/rbi/lib/openai/models/beta/assistant_update_params.rbi
@@ -12,24 +12,24 @@ module OpenAI
         attr_accessor :description
 
         # The system instructions that the assistant uses. The maximum length is 256,000
-        #   characters.
+        # characters.
         sig { returns(T.nilable(String)) }
         attr_accessor :instructions
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         sig { returns(T.nilable(T.any(String, OpenAI::Models::Beta::AssistantUpdateParams::Model::OrSymbol))) }
         attr_reader :model
 
@@ -42,33 +42,33 @@ module OpenAI
 
         # **o-series models only**
         #
-        #   Constrains effort on reasoning for
-        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-        #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-        #   result in faster responses and fewer tokens used on reasoning in a response.
+        # Constrains effort on reasoning for
+        # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+        # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+        # result in faster responses and fewer tokens used on reasoning in a response.
         sig { returns(T.nilable(OpenAI::Models::ReasoningEffort::OrSymbol)) }
         attr_accessor :reasoning_effort
 
         # Specifies the format that the model must output. Compatible with
-        #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-        #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-        #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+        # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+        # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+        # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
         #
-        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #   in the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        # Outputs which ensures the model will match your supplied JSON schema. Learn more
+        # in the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-        #   message the model generates is valid JSON.
+        # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+        # message the model generates is valid JSON.
         #
-        #   **Important:** when using JSON mode, you **must** also instruct the model to
-        #   produce JSON yourself via a system or user message. Without this, the model may
-        #   generate an unending stream of whitespace until the generation reaches the token
-        #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-        #   the message content may be partially cut off if `finish_reason="length"`, which
-        #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-        #   max context length.
+        # **Important:** when using JSON mode, you **must** also instruct the model to
+        # produce JSON yourself via a system or user message. Without this, the model may
+        # generate an unending stream of whitespace until the generation reaches the token
+        # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+        # the message content may be partially cut off if `finish_reason="length"`, which
+        # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+        # max context length.
         sig do
           returns(
             T.nilable(
@@ -84,15 +84,15 @@ module OpenAI
         attr_accessor :response_format
 
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic.
         sig { returns(T.nilable(Float)) }
         attr_accessor :temperature
 
         # A set of resources that are used by the assistant's tools. The resources are
-        #   specific to the type of tool. For example, the `code_interpreter` tool requires
-        #   a list of file IDs, while the `file_search` tool requires a list of vector store
-        #   IDs.
+        # specific to the type of tool. For example, the `code_interpreter` tool requires
+        # a list of file IDs, while the `file_search` tool requires a list of vector store
+        # IDs.
         sig { returns(T.nilable(OpenAI::Models::Beta::AssistantUpdateParams::ToolResources)) }
         attr_reader :tool_resources
 
@@ -105,8 +105,8 @@ module OpenAI
         attr_writer :tool_resources
 
         # A list of tool enabled on the assistant. There can be a maximum of 128 tools per
-        #   assistant. Tools can be of types `code_interpreter`, `file_search`, or
-        #   `function`.
+        # assistant. Tools can be of types `code_interpreter`, `file_search`, or
+        # `function`.
         sig do
           returns(
             T.nilable(
@@ -138,10 +138,10 @@ module OpenAI
         attr_writer :tools
 
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or temperature but not both.
+        # We generally recommend altering this or temperature but not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :top_p
 
@@ -226,10 +226,10 @@ module OpenAI
         def to_hash; end
 
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -318,9 +318,9 @@ module OpenAI
           attr_writer :file_search
 
           # A set of resources that are used by the assistant's tools. The resources are
-          #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   IDs.
+          # specific to the type of tool. For example, the `code_interpreter` tool requires
+          # a list of file IDs, while the `file_search` tool requires a list of vector store
+          # IDs.
           sig do
             params(
               code_interpreter: T.any(
@@ -346,9 +346,9 @@ module OpenAI
 
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # Overrides the list of
-            #   [file](https://platform.openai.com/docs/api-reference/files) IDs made available
-            #   to the `code_interpreter` tool. There can be a maximum of 20 files associated
-            #   with the tool.
+            # [file](https://platform.openai.com/docs/api-reference/files) IDs made available
+            # to the `code_interpreter` tool. There can be a maximum of 20 files associated
+            # with the tool.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :file_ids
 
@@ -364,9 +364,9 @@ module OpenAI
 
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # Overrides the
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   attached to this assistant. There can be a maximum of 1 vector store attached to
-            #   the assistant.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # attached to this assistant. There can be a maximum of 1 vector store attached to
+            # the assistant.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :vector_store_ids
 
diff --git a/rbi/lib/openai/models/beta/file_search_tool.rbi b/rbi/lib/openai/models/beta/file_search_tool.rbi
index 6914e6bb..c3df4c59 100644
--- a/rbi/lib/openai/models/beta/file_search_tool.rbi
+++ b/rbi/lib/openai/models/beta/file_search_tool.rbi
@@ -32,13 +32,13 @@ module OpenAI
 
         class FileSearch < OpenAI::Internal::Type::BaseModel
           # The maximum number of results the file search tool should output. The default is
-          #   20 for `gpt-4*` models and 5 for `gpt-3.5-turbo`. This number should be between
-          #   1 and 50 inclusive.
+          # 20 for `gpt-4*` models and 5 for `gpt-3.5-turbo`. This number should be between
+          # 1 and 50 inclusive.
           #
-          #   Note that the file search tool may output fewer than `max_num_results` results.
-          #   See the
-          #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-          #   for more information.
+          # Note that the file search tool may output fewer than `max_num_results` results.
+          # See the
+          # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+          # for more information.
           sig { returns(T.nilable(Integer)) }
           attr_reader :max_num_results
 
@@ -46,11 +46,11 @@ module OpenAI
           attr_writer :max_num_results
 
           # The ranking options for the file search. If not specified, the file search tool
-          #   will use the `auto` ranker and a score_threshold of 0.
+          # will use the `auto` ranker and a score_threshold of 0.
           #
-          #   See the
-          #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-          #   for more information.
+          # See the
+          # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+          # for more information.
           sig { returns(T.nilable(OpenAI::Models::Beta::FileSearchTool::FileSearch::RankingOptions)) }
           attr_reader :ranking_options
 
@@ -82,12 +82,12 @@ module OpenAI
 
           class RankingOptions < OpenAI::Internal::Type::BaseModel
             # The score threshold for the file search. All values must be a floating point
-            #   number between 0 and 1.
+            # number between 0 and 1.
             sig { returns(Float) }
             attr_accessor :score_threshold
 
             # The ranker to use for the file search. If not specified will use the `auto`
-            #   ranker.
+            # ranker.
             sig { returns(T.nilable(OpenAI::Models::Beta::FileSearchTool::FileSearch::RankingOptions::Ranker::OrSymbol)) }
             attr_reader :ranker
 
@@ -95,11 +95,11 @@ module OpenAI
             attr_writer :ranker
 
             # The ranking options for the file search. If not specified, the file search tool
-            #   will use the `auto` ranker and a score_threshold of 0.
+            # will use the `auto` ranker and a score_threshold of 0.
             #
-            #   See the
-            #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-            #   for more information.
+            # See the
+            # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+            # for more information.
             sig do
               params(
                 score_threshold: Float,
@@ -121,7 +121,7 @@ module OpenAI
             def to_hash; end
 
             # The ranker to use for the file search. If not specified will use the `auto`
-            #   ranker.
+            # ranker.
             module Ranker
               extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/message_stream_event.rbi b/rbi/lib/openai/models/beta/message_stream_event.rbi
index c312e9f2..3f070ad2 100644
--- a/rbi/lib/openai/models/beta/message_stream_event.rbi
+++ b/rbi/lib/openai/models/beta/message_stream_event.rbi
@@ -4,14 +4,14 @@ module OpenAI
   module Models
     module Beta
       # Occurs when a
-      #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-      #   created.
+      # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+      # created.
       module MessageStreamEvent
         extend OpenAI::Internal::Type::Union
 
         class ThreadMessageCreated < OpenAI::Internal::Type::BaseModel
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Message) }
           attr_reader :data
 
@@ -22,8 +22,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-          #   created.
+          # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+          # created.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Message, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -36,7 +36,7 @@ module OpenAI
 
         class ThreadMessageInProgress < OpenAI::Internal::Type::BaseModel
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Message) }
           attr_reader :data
 
@@ -47,8 +47,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [message](https://platform.openai.com/docs/api-reference/messages/object) moves
-          #   to an `in_progress` state.
+          # [message](https://platform.openai.com/docs/api-reference/messages/object) moves
+          # to an `in_progress` state.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Message, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -61,7 +61,7 @@ module OpenAI
 
         class ThreadMessageDelta < OpenAI::Internal::Type::BaseModel
           # Represents a message delta i.e. any changed fields on a message during
-          #   streaming.
+          # streaming.
           sig { returns(OpenAI::Models::Beta::Threads::MessageDeltaEvent) }
           attr_reader :data
 
@@ -72,8 +72,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when parts of a
-          #   [Message](https://platform.openai.com/docs/api-reference/messages/object) are
-          #   being streamed.
+          # [Message](https://platform.openai.com/docs/api-reference/messages/object) are
+          # being streamed.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::MessageDeltaEvent, OpenAI::Internal::AnyHash),
@@ -89,7 +89,7 @@ module OpenAI
 
         class ThreadMessageCompleted < OpenAI::Internal::Type::BaseModel
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Message) }
           attr_reader :data
 
@@ -100,8 +100,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [message](https://platform.openai.com/docs/api-reference/messages/object) is
-          #   completed.
+          # [message](https://platform.openai.com/docs/api-reference/messages/object) is
+          # completed.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Message, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -114,7 +114,7 @@ module OpenAI
 
         class ThreadMessageIncomplete < OpenAI::Internal::Type::BaseModel
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Message) }
           attr_reader :data
 
@@ -125,8 +125,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [message](https://platform.openai.com/docs/api-reference/messages/object) ends
-          #   before it is completed.
+          # [message](https://platform.openai.com/docs/api-reference/messages/object) ends
+          # before it is completed.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Message, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
diff --git a/rbi/lib/openai/models/beta/run_step_stream_event.rbi b/rbi/lib/openai/models/beta/run_step_stream_event.rbi
index 7aff0d4d..c004aab8 100644
--- a/rbi/lib/openai/models/beta/run_step_stream_event.rbi
+++ b/rbi/lib/openai/models/beta/run_step_stream_event.rbi
@@ -4,8 +4,8 @@ module OpenAI
   module Models
     module Beta
       # Occurs when a
-      #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-      #   is created.
+      # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+      # is created.
       module RunStepStreamEvent
         extend OpenAI::Internal::Type::Union
 
@@ -21,8 +21,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   is created.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # is created.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -48,8 +48,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   moves to an `in_progress` state.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # moves to an `in_progress` state.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -65,7 +65,7 @@ module OpenAI
 
         class ThreadRunStepDelta < OpenAI::Internal::Type::BaseModel
           # Represents a run step delta i.e. any changed fields on a run step during
-          #   streaming.
+          # streaming.
           sig { returns(OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent) }
           attr_reader :data
 
@@ -78,8 +78,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when parts of a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   are being streamed.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # are being streamed.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStepDeltaEvent, OpenAI::Internal::AnyHash),
@@ -105,8 +105,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   is completed.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # is completed.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -132,8 +132,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   fails.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # fails.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -159,8 +159,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   is cancelled.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # is cancelled.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
@@ -186,8 +186,8 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a
-          #   [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
-          #   expires.
+          # [run step](https://platform.openai.com/docs/api-reference/run-steps/step-object)
+          # expires.
           sig do
             params(
               data: T.any(OpenAI::Models::Beta::Threads::Runs::RunStep, OpenAI::Internal::AnyHash),
diff --git a/rbi/lib/openai/models/beta/run_stream_event.rbi b/rbi/lib/openai/models/beta/run_stream_event.rbi
index de5bcb0f..29f03175 100644
--- a/rbi/lib/openai/models/beta/run_stream_event.rbi
+++ b/rbi/lib/openai/models/beta/run_stream_event.rbi
@@ -4,13 +4,13 @@ module OpenAI
   module Models
     module Beta
       # Occurs when a new
-      #   [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
+      # [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
       module RunStreamEvent
         extend OpenAI::Internal::Type::Union
 
         class ThreadRunCreated < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -21,7 +21,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a new
-          #   [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
+          # [run](https://platform.openai.com/docs/api-reference/runs/object) is created.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -34,7 +34,7 @@ module OpenAI
 
         class ThreadRunQueued < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -45,7 +45,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   moves to a `queued` status.
+          # moves to a `queued` status.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -58,7 +58,7 @@ module OpenAI
 
         class ThreadRunInProgress < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -69,7 +69,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   moves to an `in_progress` status.
+          # moves to an `in_progress` status.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -82,7 +82,7 @@ module OpenAI
 
         class ThreadRunRequiresAction < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -93,7 +93,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   moves to a `requires_action` status.
+          # moves to a `requires_action` status.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -106,7 +106,7 @@ module OpenAI
 
         class ThreadRunCompleted < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -117,7 +117,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   is completed.
+          # is completed.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -130,7 +130,7 @@ module OpenAI
 
         class ThreadRunIncomplete < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -141,7 +141,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   ends with status `incomplete`.
+          # ends with status `incomplete`.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -154,7 +154,7 @@ module OpenAI
 
         class ThreadRunFailed < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -165,7 +165,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   fails.
+          # fails.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -178,7 +178,7 @@ module OpenAI
 
         class ThreadRunCancelling < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -189,7 +189,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   moves to a `cancelling` status.
+          # moves to a `cancelling` status.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -202,7 +202,7 @@ module OpenAI
 
         class ThreadRunCancelled < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -213,7 +213,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   is cancelled.
+          # is cancelled.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
@@ -226,7 +226,7 @@ module OpenAI
 
         class ThreadRunExpired < OpenAI::Internal::Type::BaseModel
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig { returns(OpenAI::Models::Beta::Threads::Run) }
           attr_reader :data
 
@@ -237,7 +237,7 @@ module OpenAI
           attr_accessor :event
 
           # Occurs when a [run](https://platform.openai.com/docs/api-reference/runs/object)
-          #   expires.
+          # expires.
           sig do
             params(data: T.any(OpenAI::Models::Beta::Threads::Run, OpenAI::Internal::AnyHash), event: Symbol)
               .returns(T.attached_class)
diff --git a/rbi/lib/openai/models/beta/thread.rbi b/rbi/lib/openai/models/beta/thread.rbi
index 0e294e8a..0a393255 100644
--- a/rbi/lib/openai/models/beta/thread.rbi
+++ b/rbi/lib/openai/models/beta/thread.rbi
@@ -13,11 +13,11 @@ module OpenAI
         attr_accessor :created_at
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
@@ -26,9 +26,9 @@ module OpenAI
         attr_accessor :object
 
         # A set of resources that are made available to the assistant's tools in this
-        #   thread. The resources are specific to the type of tool. For example, the
-        #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-        #   tool requires a list of vector store IDs.
+        # thread. The resources are specific to the type of tool. For example, the
+        # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+        # tool requires a list of vector store IDs.
         sig { returns(T.nilable(OpenAI::Models::Beta::Thread::ToolResources)) }
         attr_reader :tool_resources
 
@@ -41,7 +41,7 @@ module OpenAI
         attr_writer :tool_resources
 
         # Represents a thread that contains
-        #   [messages](https://platform.openai.com/docs/api-reference/messages).
+        # [messages](https://platform.openai.com/docs/api-reference/messages).
         sig do
           params(
             id: String,
@@ -92,9 +92,9 @@ module OpenAI
           attr_writer :file_search
 
           # A set of resources that are made available to the assistant's tools in this
-          #   thread. The resources are specific to the type of tool. For example, the
-          #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   tool requires a list of vector store IDs.
+          # thread. The resources are specific to the type of tool. For example, the
+          # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          # tool requires a list of vector store IDs.
           sig do
             params(
               code_interpreter: T.any(OpenAI::Models::Beta::Thread::ToolResources::CodeInterpreter, OpenAI::Internal::AnyHash),
@@ -117,8 +117,8 @@ module OpenAI
 
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #   associated with the tool.
+            # available to the `code_interpreter` tool. There can be a maximum of 20 files
+            # associated with the tool.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :file_ids
 
@@ -134,9 +134,9 @@ module OpenAI
 
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # The
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   attached to this thread. There can be a maximum of 1 vector store attached to
-            #   the thread.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # attached to this thread. There can be a maximum of 1 vector store attached to
+            # the thread.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :vector_store_ids
 
diff --git a/rbi/lib/openai/models/beta/thread_create_and_run_params.rbi b/rbi/lib/openai/models/beta/thread_create_and_run_params.rbi
index f9240bfe..bc0633ec 100644
--- a/rbi/lib/openai/models/beta/thread_create_and_run_params.rbi
+++ b/rbi/lib/openai/models/beta/thread_create_and_run_params.rbi
@@ -8,51 +8,51 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # The ID of the
-        #   [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
-        #   execute this run.
+        # [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+        # execute this run.
         sig { returns(String) }
         attr_accessor :assistant_id
 
         # Override the default system message of the assistant. This is useful for
-        #   modifying the behavior on a per-run basis.
+        # modifying the behavior on a per-run basis.
         sig { returns(T.nilable(String)) }
         attr_accessor :instructions
 
         # The maximum number of completion tokens that may be used over the course of the
-        #   run. The run will make a best effort to use only the number of completion tokens
-        #   specified, across multiple turns of the run. If the run exceeds the number of
-        #   completion tokens specified, the run will end with status `incomplete`. See
-        #   `incomplete_details` for more info.
+        # run. The run will make a best effort to use only the number of completion tokens
+        # specified, across multiple turns of the run. If the run exceeds the number of
+        # completion tokens specified, the run will end with status `incomplete`. See
+        # `incomplete_details` for more info.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :max_completion_tokens
 
         # The maximum number of prompt tokens that may be used over the course of the run.
-        #   The run will make a best effort to use only the number of prompt tokens
-        #   specified, across multiple turns of the run. If the run exceeds the number of
-        #   prompt tokens specified, the run will end with status `incomplete`. See
-        #   `incomplete_details` for more info.
+        # The run will make a best effort to use only the number of prompt tokens
+        # specified, across multiple turns of the run. If the run exceeds the number of
+        # prompt tokens specified, the run will end with status `incomplete`. See
+        # `incomplete_details` for more info.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :max_prompt_tokens
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
         # The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-        #   be used to execute this run. If a value is provided here, it will override the
-        #   model associated with the assistant. If not, the model associated with the
-        #   assistant will be used.
+        # be used to execute this run. If a value is provided here, it will override the
+        # model associated with the assistant. If not, the model associated with the
+        # assistant will be used.
         sig { returns(T.nilable(T.any(String, OpenAI::Models::ChatModel::OrSymbol))) }
         attr_accessor :model
 
         # Whether to enable
-        #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-        #   during tool use.
+        # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+        # during tool use.
         sig { returns(T.nilable(T::Boolean)) }
         attr_reader :parallel_tool_calls
 
@@ -60,25 +60,25 @@ module OpenAI
         attr_writer :parallel_tool_calls
 
         # Specifies the format that the model must output. Compatible with
-        #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-        #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-        #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+        # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+        # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+        # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
         #
-        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #   in the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        # Outputs which ensures the model will match your supplied JSON schema. Learn more
+        # in the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-        #   message the model generates is valid JSON.
+        # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+        # message the model generates is valid JSON.
         #
-        #   **Important:** when using JSON mode, you **must** also instruct the model to
-        #   produce JSON yourself via a system or user message. Without this, the model may
-        #   generate an unending stream of whitespace until the generation reaches the token
-        #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-        #   the message content may be partially cut off if `finish_reason="length"`, which
-        #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-        #   max context length.
+        # **Important:** when using JSON mode, you **must** also instruct the model to
+        # produce JSON yourself via a system or user message. Without this, the model may
+        # generate an unending stream of whitespace until the generation reaches the token
+        # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+        # the message content may be partially cut off if `finish_reason="length"`, which
+        # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+        # max context length.
         sig do
           returns(
             T.nilable(
@@ -94,13 +94,13 @@ module OpenAI
         attr_accessor :response_format
 
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic.
         sig { returns(T.nilable(Float)) }
         attr_accessor :temperature
 
         # Options to create a new thread. If no thread is provided when running a request,
-        #   an empty thread will be created.
+        # an empty thread will be created.
         sig { returns(T.nilable(OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread)) }
         attr_reader :thread
 
@@ -111,12 +111,12 @@ module OpenAI
         attr_writer :thread
 
         # Controls which (if any) tool is called by the model. `none` means the model will
-        #   not call any tools and instead generates a message. `auto` is the default value
-        #   and means the model can pick between generating a message or calling one or more
-        #   tools. `required` means the model must call one or more tools before responding
-        #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
-        #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-        #   call that tool.
+        # not call any tools and instead generates a message. `auto` is the default value
+        # and means the model can pick between generating a message or calling one or more
+        # tools. `required` means the model must call one or more tools before responding
+        # to the user. Specifying a particular tool like `{"type": "file_search"}` or
+        # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+        # call that tool.
         sig do
           returns(
             T.nilable(
@@ -130,9 +130,9 @@ module OpenAI
         attr_accessor :tool_choice
 
         # A set of resources that are used by the assistant's tools. The resources are
-        #   specific to the type of tool. For example, the `code_interpreter` tool requires
-        #   a list of file IDs, while the `file_search` tool requires a list of vector store
-        #   IDs.
+        # specific to the type of tool. For example, the `code_interpreter` tool requires
+        # a list of file IDs, while the `file_search` tool requires a list of vector store
+        # IDs.
         sig { returns(T.nilable(OpenAI::Models::Beta::ThreadCreateAndRunParams::ToolResources)) }
         attr_reader :tool_resources
 
@@ -145,7 +145,7 @@ module OpenAI
         attr_writer :tool_resources
 
         # Override the tools the assistant can use for this run. This is useful for
-        #   modifying the behavior on a per-run basis.
+        # modifying the behavior on a per-run basis.
         sig do
           returns(
             T.nilable(
@@ -162,15 +162,15 @@ module OpenAI
         attr_accessor :tools
 
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or temperature but not both.
+        # We generally recommend altering this or temperature but not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :top_p
 
         # Controls for how a thread will be truncated prior to the run. Use this to
-        #   control the intial context window of the run.
+        # control the intial context window of the run.
         sig { returns(T.nilable(OpenAI::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy)) }
         attr_reader :truncation_strategy
 
@@ -294,9 +294,9 @@ module OpenAI
         def to_hash; end
 
         # The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-        #   be used to execute this run. If a value is provided here, it will override the
-        #   model associated with the assistant. If not, the model associated with the
-        #   assistant will be used.
+        # be used to execute this run. If a value is provided here, it will override the
+        # model associated with the assistant. If not, the model associated with the
+        # assistant will be used.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -306,7 +306,7 @@ module OpenAI
 
         class Thread < OpenAI::Internal::Type::BaseModel
           # A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
-          #   start the thread with.
+          # start the thread with.
           sig { returns(T.nilable(T::Array[OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::Message])) }
           attr_reader :messages
 
@@ -319,18 +319,18 @@ module OpenAI
           attr_writer :messages
 
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           sig { returns(T.nilable(T::Hash[Symbol, String])) }
           attr_accessor :metadata
 
           # A set of resources that are made available to the assistant's tools in this
-          #   thread. The resources are specific to the type of tool. For example, the
-          #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   tool requires a list of vector store IDs.
+          # thread. The resources are specific to the type of tool. For example, the
+          # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          # tool requires a list of vector store IDs.
           sig { returns(T.nilable(OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::ToolResources)) }
           attr_reader :tool_resources
 
@@ -345,7 +345,7 @@ module OpenAI
           attr_writer :tool_resources
 
           # Options to create a new thread. If no thread is provided when running a request,
-          #   an empty thread will be created.
+          # an empty thread will be created.
           sig do
             params(
               messages: T::Array[T.any(OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::Message, OpenAI::Internal::AnyHash)],
@@ -390,10 +390,10 @@ module OpenAI
 
             # The role of the entity that is creating the message. Allowed values include:
             #
-            #   - `user`: Indicates the message is sent by an actual user and should be used in
-            #     most cases to represent user-generated messages.
-            #   - `assistant`: Indicates the message is generated by the assistant. Use this
-            #     value to insert messages from the assistant into the conversation.
+            # - `user`: Indicates the message is sent by an actual user and should be used in
+            #   most cases to represent user-generated messages.
+            # - `assistant`: Indicates the message is generated by the assistant. Use this
+            #   value to insert messages from the assistant into the conversation.
             sig { returns(OpenAI::Models::Beta::ThreadCreateAndRunParams::Thread::Message::Role::OrSymbol) }
             attr_accessor :role
 
@@ -402,11 +402,11 @@ module OpenAI
             attr_accessor :attachments
 
             # Set of 16 key-value pairs that can be attached to an object. This can be useful
-            #   for storing additional information about the object in a structured format, and
-            #   querying for objects via API or the dashboard.
+            # for storing additional information about the object in a structured format, and
+            # querying for objects via API or the dashboard.
             #
-            #   Keys are strings with a maximum length of 64 characters. Values are strings with
-            #   a maximum length of 512 characters.
+            # Keys are strings with a maximum length of 64 characters. Values are strings with
+            # a maximum length of 512 characters.
             sig { returns(T.nilable(T::Hash[Symbol, String])) }
             attr_accessor :metadata
 
@@ -490,10 +490,10 @@ module OpenAI
 
             # The role of the entity that is creating the message. Allowed values include:
             #
-            #   - `user`: Indicates the message is sent by an actual user and should be used in
-            #     most cases to represent user-generated messages.
-            #   - `assistant`: Indicates the message is generated by the assistant. Use this
-            #     value to insert messages from the assistant into the conversation.
+            # - `user`: Indicates the message is sent by an actual user and should be used in
+            #   most cases to represent user-generated messages.
+            # - `assistant`: Indicates the message is generated by the assistant. Use this
+            #   value to insert messages from the assistant into the conversation.
             module Role
               extend OpenAI::Internal::Type::Enum
 
@@ -637,9 +637,9 @@ module OpenAI
             attr_writer :file_search
 
             # A set of resources that are made available to the assistant's tools in this
-            #   thread. The resources are specific to the type of tool. For example, the
-            #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-            #   tool requires a list of vector store IDs.
+            # thread. The resources are specific to the type of tool. For example, the
+            # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+            # tool requires a list of vector store IDs.
             sig do
               params(
                 code_interpreter: T.any(
@@ -668,8 +668,8 @@ module OpenAI
 
             class CodeInterpreter < OpenAI::Internal::Type::BaseModel
               # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-              #   available to the `code_interpreter` tool. There can be a maximum of 20 files
-              #   associated with the tool.
+              # available to the `code_interpreter` tool. There can be a maximum of 20 files
+              # associated with the tool.
               sig { returns(T.nilable(T::Array[String])) }
               attr_reader :file_ids
 
@@ -685,9 +685,9 @@ module OpenAI
 
             class FileSearch < OpenAI::Internal::Type::BaseModel
               # The
-              #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-              #   attached to this thread. There can be a maximum of 1 vector store attached to
-              #   the thread.
+              # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+              # attached to this thread. There can be a maximum of 1 vector store attached to
+              # the thread.
               sig { returns(T.nilable(T::Array[String])) }
               attr_reader :vector_store_ids
 
@@ -695,9 +695,9 @@ module OpenAI
               attr_writer :vector_store_ids
 
               # A helper to create a
-              #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-              #   with file_ids and attach it to this thread. There can be a maximum of 1 vector
-              #   store attached to the thread.
+              # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+              # with file_ids and attach it to this thread. There can be a maximum of 1 vector
+              # store attached to the thread.
               sig do
                 returns(
                   T.nilable(
@@ -747,7 +747,7 @@ module OpenAI
 
               class VectorStore < OpenAI::Internal::Type::BaseModel
                 # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-                #   strategy.
+                # strategy.
                 sig do
                   returns(
                     T.nilable(
@@ -773,8 +773,8 @@ module OpenAI
                 attr_writer :chunking_strategy
 
                 # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-                #   add to the vector store. There can be a maximum of 10000 files in a vector
-                #   store.
+                # add to the vector store. There can be a maximum of 10000 files in a vector
+                # store.
                 sig { returns(T.nilable(T::Array[String])) }
                 attr_reader :file_ids
 
@@ -782,11 +782,11 @@ module OpenAI
                 attr_writer :file_ids
 
                 # Set of 16 key-value pairs that can be attached to an object. This can be useful
-                #   for storing additional information about the object in a structured format, and
-                #   querying for objects via API or the dashboard.
+                # for storing additional information about the object in a structured format, and
+                # querying for objects via API or the dashboard.
                 #
-                #   Keys are strings with a maximum length of 64 characters. Values are strings with
-                #   a maximum length of 512 characters.
+                # Keys are strings with a maximum length of 64 characters. Values are strings with
+                # a maximum length of 512 characters.
                 sig { returns(T.nilable(T::Hash[Symbol, String])) }
                 attr_accessor :metadata
 
@@ -820,7 +820,7 @@ module OpenAI
                 def to_hash; end
 
                 # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-                #   strategy.
+                # strategy.
                 module ChunkingStrategy
                   extend OpenAI::Internal::Type::Union
 
@@ -830,7 +830,7 @@ module OpenAI
                     attr_accessor :type
 
                     # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
-                    #   `800` and `chunk_overlap_tokens` of `400`.
+                    # `800` and `chunk_overlap_tokens` of `400`.
                     sig { params(type: Symbol).returns(T.attached_class) }
                     def self.new(type: :auto); end
 
@@ -887,12 +887,12 @@ module OpenAI
                     class Static < OpenAI::Internal::Type::BaseModel
                       # The number of tokens that overlap between chunks. The default value is `400`.
                       #
-                      #   Note that the overlap must not exceed half of `max_chunk_size_tokens`.
+                      # Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                       sig { returns(Integer) }
                       attr_accessor :chunk_overlap_tokens
 
                       # The maximum number of tokens in each chunk. The default value is `800`. The
-                      #   minimum value is `100` and the maximum value is `4096`.
+                      # minimum value is `100` and the maximum value is `4096`.
                       sig { returns(Integer) }
                       attr_accessor :max_chunk_size_tokens
 
@@ -954,9 +954,9 @@ module OpenAI
           attr_writer :file_search
 
           # A set of resources that are used by the assistant's tools. The resources are
-          #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   IDs.
+          # specific to the type of tool. For example, the `code_interpreter` tool requires
+          # a list of file IDs, while the `file_search` tool requires a list of vector store
+          # IDs.
           sig do
             params(
               code_interpreter: T.any(
@@ -985,8 +985,8 @@ module OpenAI
 
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #   associated with the tool.
+            # available to the `code_interpreter` tool. There can be a maximum of 20 files
+            # associated with the tool.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :file_ids
 
@@ -1002,9 +1002,9 @@ module OpenAI
 
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # The ID of the
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   attached to this assistant. There can be a maximum of 1 vector store attached to
-            #   the assistant.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # attached to this assistant. There can be a maximum of 1 vector store attached to
+            # the assistant.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :vector_store_ids
 
@@ -1033,19 +1033,19 @@ module OpenAI
 
         class TruncationStrategy < OpenAI::Internal::Type::BaseModel
           # 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`.
+          # `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`.
           sig { returns(OpenAI::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy::Type::OrSymbol) }
           attr_accessor :type
 
           # The number of most recent messages from the thread when constructing the context
-          #   for the run.
+          # for the run.
           sig { returns(T.nilable(Integer)) }
           attr_accessor :last_messages
 
           # Controls for how a thread will be truncated prior to the run. Use this to
-          #   control the intial context window of the run.
+          # control the intial context window of the run.
           sig do
             params(
               type: OpenAI::Models::Beta::ThreadCreateAndRunParams::TruncationStrategy::Type::OrSymbol,
@@ -1067,9 +1067,9 @@ module OpenAI
           def to_hash; end
 
           # 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`.
+          # `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`.
           module Type
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/thread_create_params.rbi b/rbi/lib/openai/models/beta/thread_create_params.rbi
index 285edbe9..9d73e499 100644
--- a/rbi/lib/openai/models/beta/thread_create_params.rbi
+++ b/rbi/lib/openai/models/beta/thread_create_params.rbi
@@ -8,7 +8,7 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
-        #   start the thread with.
+        # start the thread with.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Beta::ThreadCreateParams::Message])) }
         attr_reader :messages
 
@@ -21,18 +21,18 @@ module OpenAI
         attr_writer :messages
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
         # A set of resources that are made available to the assistant's tools in this
-        #   thread. The resources are specific to the type of tool. For example, the
-        #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-        #   tool requires a list of vector store IDs.
+        # thread. The resources are specific to the type of tool. For example, the
+        # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+        # tool requires a list of vector store IDs.
         sig { returns(T.nilable(OpenAI::Models::Beta::ThreadCreateParams::ToolResources)) }
         attr_reader :tool_resources
 
@@ -88,10 +88,10 @@ module OpenAI
 
           # The role of the entity that is creating the message. Allowed values include:
           #
-          #   - `user`: Indicates the message is sent by an actual user and should be used in
-          #     most cases to represent user-generated messages.
-          #   - `assistant`: Indicates the message is generated by the assistant. Use this
-          #     value to insert messages from the assistant into the conversation.
+          # - `user`: Indicates the message is sent by an actual user and should be used in
+          #   most cases to represent user-generated messages.
+          # - `assistant`: Indicates the message is generated by the assistant. Use this
+          #   value to insert messages from the assistant into the conversation.
           sig { returns(OpenAI::Models::Beta::ThreadCreateParams::Message::Role::OrSymbol) }
           attr_accessor :role
 
@@ -100,11 +100,11 @@ module OpenAI
           attr_accessor :attachments
 
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           sig { returns(T.nilable(T::Hash[Symbol, String])) }
           attr_accessor :metadata
 
@@ -183,10 +183,10 @@ module OpenAI
 
           # The role of the entity that is creating the message. Allowed values include:
           #
-          #   - `user`: Indicates the message is sent by an actual user and should be used in
-          #     most cases to represent user-generated messages.
-          #   - `assistant`: Indicates the message is generated by the assistant. Use this
-          #     value to insert messages from the assistant into the conversation.
+          # - `user`: Indicates the message is sent by an actual user and should be used in
+          #   most cases to represent user-generated messages.
+          # - `assistant`: Indicates the message is generated by the assistant. Use this
+          #   value to insert messages from the assistant into the conversation.
           module Role
             extend OpenAI::Internal::Type::Enum
 
@@ -319,9 +319,9 @@ module OpenAI
           attr_writer :file_search
 
           # A set of resources that are made available to the assistant's tools in this
-          #   thread. The resources are specific to the type of tool. For example, the
-          #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   tool requires a list of vector store IDs.
+          # thread. The resources are specific to the type of tool. For example, the
+          # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          # tool requires a list of vector store IDs.
           sig do
             params(
               code_interpreter: T.any(OpenAI::Models::Beta::ThreadCreateParams::ToolResources::CodeInterpreter, OpenAI::Internal::AnyHash),
@@ -344,8 +344,8 @@ module OpenAI
 
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #   associated with the tool.
+            # available to the `code_interpreter` tool. There can be a maximum of 20 files
+            # associated with the tool.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :file_ids
 
@@ -361,9 +361,9 @@ module OpenAI
 
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # The
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   attached to this thread. There can be a maximum of 1 vector store attached to
-            #   the thread.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # attached to this thread. There can be a maximum of 1 vector store attached to
+            # the thread.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :vector_store_ids
 
@@ -371,9 +371,9 @@ module OpenAI
             attr_writer :vector_store_ids
 
             # A helper to create a
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   with file_ids and attach it to this thread. There can be a maximum of 1 vector
-            #   store attached to the thread.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # with file_ids and attach it to this thread. There can be a maximum of 1 vector
+            # store attached to the thread.
             sig do
               returns(
                 T.nilable(T::Array[OpenAI::Models::Beta::ThreadCreateParams::ToolResources::FileSearch::VectorStore])
@@ -421,7 +421,7 @@ module OpenAI
 
             class VectorStore < OpenAI::Internal::Type::BaseModel
               # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-              #   strategy.
+              # strategy.
               sig do
                 returns(
                   T.nilable(
@@ -447,8 +447,8 @@ module OpenAI
               attr_writer :chunking_strategy
 
               # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to
-              #   add to the vector store. There can be a maximum of 10000 files in a vector
-              #   store.
+              # add to the vector store. There can be a maximum of 10000 files in a vector
+              # store.
               sig { returns(T.nilable(T::Array[String])) }
               attr_reader :file_ids
 
@@ -456,11 +456,11 @@ module OpenAI
               attr_writer :file_ids
 
               # Set of 16 key-value pairs that can be attached to an object. This can be useful
-              #   for storing additional information about the object in a structured format, and
-              #   querying for objects via API or the dashboard.
+              # for storing additional information about the object in a structured format, and
+              # querying for objects via API or the dashboard.
               #
-              #   Keys are strings with a maximum length of 64 characters. Values are strings with
-              #   a maximum length of 512 characters.
+              # Keys are strings with a maximum length of 64 characters. Values are strings with
+              # a maximum length of 512 characters.
               sig { returns(T.nilable(T::Hash[Symbol, String])) }
               attr_accessor :metadata
 
@@ -494,7 +494,7 @@ module OpenAI
               def to_hash; end
 
               # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-              #   strategy.
+              # strategy.
               module ChunkingStrategy
                 extend OpenAI::Internal::Type::Union
 
@@ -504,7 +504,7 @@ module OpenAI
                   attr_accessor :type
 
                   # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of
-                  #   `800` and `chunk_overlap_tokens` of `400`.
+                  # `800` and `chunk_overlap_tokens` of `400`.
                   sig { params(type: Symbol).returns(T.attached_class) }
                   def self.new(type: :auto); end
 
@@ -561,12 +561,12 @@ module OpenAI
                   class Static < OpenAI::Internal::Type::BaseModel
                     # The number of tokens that overlap between chunks. The default value is `400`.
                     #
-                    #   Note that the overlap must not exceed half of `max_chunk_size_tokens`.
+                    # Note that the overlap must not exceed half of `max_chunk_size_tokens`.
                     sig { returns(Integer) }
                     attr_accessor :chunk_overlap_tokens
 
                     # The maximum number of tokens in each chunk. The default value is `800`. The
-                    #   minimum value is `100` and the maximum value is `4096`.
+                    # minimum value is `100` and the maximum value is `4096`.
                     sig { returns(Integer) }
                     attr_accessor :max_chunk_size_tokens
 
diff --git a/rbi/lib/openai/models/beta/thread_stream_event.rbi b/rbi/lib/openai/models/beta/thread_stream_event.rbi
index e2268f47..f169b98c 100644
--- a/rbi/lib/openai/models/beta/thread_stream_event.rbi
+++ b/rbi/lib/openai/models/beta/thread_stream_event.rbi
@@ -5,7 +5,7 @@ module OpenAI
     module Beta
       class ThreadStreamEvent < OpenAI::Internal::Type::BaseModel
         # Represents a thread that contains
-        #   [messages](https://platform.openai.com/docs/api-reference/messages).
+        # [messages](https://platform.openai.com/docs/api-reference/messages).
         sig { returns(OpenAI::Models::Beta::Thread) }
         attr_reader :data
 
@@ -23,8 +23,8 @@ module OpenAI
         attr_writer :enabled
 
         # Occurs when a new
-        #   [thread](https://platform.openai.com/docs/api-reference/threads/object) is
-        #   created.
+        # [thread](https://platform.openai.com/docs/api-reference/threads/object) is
+        # created.
         sig do
           params(
             data: T.any(OpenAI::Models::Beta::Thread, OpenAI::Internal::AnyHash),
diff --git a/rbi/lib/openai/models/beta/thread_update_params.rbi b/rbi/lib/openai/models/beta/thread_update_params.rbi
index 4ec25c94..1eb3f670 100644
--- a/rbi/lib/openai/models/beta/thread_update_params.rbi
+++ b/rbi/lib/openai/models/beta/thread_update_params.rbi
@@ -8,18 +8,18 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
         # A set of resources that are made available to the assistant's tools in this
-        #   thread. The resources are specific to the type of tool. For example, the
-        #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-        #   tool requires a list of vector store IDs.
+        # thread. The resources are specific to the type of tool. For example, the
+        # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+        # tool requires a list of vector store IDs.
         sig { returns(T.nilable(OpenAI::Models::Beta::ThreadUpdateParams::ToolResources)) }
         attr_reader :tool_resources
 
@@ -77,9 +77,9 @@ module OpenAI
           attr_writer :file_search
 
           # A set of resources that are made available to the assistant's tools in this
-          #   thread. The resources are specific to the type of tool. For example, the
-          #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   tool requires a list of vector store IDs.
+          # thread. The resources are specific to the type of tool. For example, the
+          # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          # tool requires a list of vector store IDs.
           sig do
             params(
               code_interpreter: T.any(OpenAI::Models::Beta::ThreadUpdateParams::ToolResources::CodeInterpreter, OpenAI::Internal::AnyHash),
@@ -102,8 +102,8 @@ module OpenAI
 
           class CodeInterpreter < OpenAI::Internal::Type::BaseModel
             # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made
-            #   available to the `code_interpreter` tool. There can be a maximum of 20 files
-            #   associated with the tool.
+            # available to the `code_interpreter` tool. There can be a maximum of 20 files
+            # associated with the tool.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :file_ids
 
@@ -119,9 +119,9 @@ module OpenAI
 
           class FileSearch < OpenAI::Internal::Type::BaseModel
             # The
-            #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-            #   attached to this thread. There can be a maximum of 1 vector store attached to
-            #   the thread.
+            # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+            # attached to this thread. There can be a maximum of 1 vector store attached to
+            # the thread.
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :vector_store_ids
 
diff --git a/rbi/lib/openai/models/beta/threads/annotation.rbi b/rbi/lib/openai/models/beta/threads/annotation.rbi
index 0b4b796a..6ed86777 100644
--- a/rbi/lib/openai/models/beta/threads/annotation.rbi
+++ b/rbi/lib/openai/models/beta/threads/annotation.rbi
@@ -5,8 +5,8 @@ module OpenAI
     module Beta
       module Threads
         # A citation within the message that points to a specific quote from a specific
-        #   File associated with the assistant or the message. Generated when the assistant
-        #   uses the "file_search" tool to search files.
+        # File associated with the assistant or the message. Generated when the assistant
+        # uses the "file_search" tool to search files.
         module Annotation
           extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/beta/threads/annotation_delta.rbi b/rbi/lib/openai/models/beta/threads/annotation_delta.rbi
index 26a9fe9b..deb39180 100644
--- a/rbi/lib/openai/models/beta/threads/annotation_delta.rbi
+++ b/rbi/lib/openai/models/beta/threads/annotation_delta.rbi
@@ -5,8 +5,8 @@ module OpenAI
     module Beta
       module Threads
         # A citation within the message that points to a specific quote from a specific
-        #   File associated with the assistant or the message. Generated when the assistant
-        #   uses the "file_search" tool to search files.
+        # File associated with the assistant or the message. Generated when the assistant
+        # uses the "file_search" tool to search files.
         module AnnotationDelta
           extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/beta/threads/file_citation_annotation.rbi b/rbi/lib/openai/models/beta/threads/file_citation_annotation.rbi
index e29ed266..a9b10bb9 100644
--- a/rbi/lib/openai/models/beta/threads/file_citation_annotation.rbi
+++ b/rbi/lib/openai/models/beta/threads/file_citation_annotation.rbi
@@ -31,8 +31,8 @@ module OpenAI
           attr_accessor :type
 
           # A citation within the message that points to a specific quote from a specific
-          #   File associated with the assistant or the message. Generated when the assistant
-          #   uses the "file_search" tool to search files.
+          # File associated with the assistant or the message. Generated when the assistant
+          # uses the "file_search" tool to search files.
           sig do
             params(
               end_index: Integer,
diff --git a/rbi/lib/openai/models/beta/threads/file_citation_delta_annotation.rbi b/rbi/lib/openai/models/beta/threads/file_citation_delta_annotation.rbi
index 3a09db06..1d28545a 100644
--- a/rbi/lib/openai/models/beta/threads/file_citation_delta_annotation.rbi
+++ b/rbi/lib/openai/models/beta/threads/file_citation_delta_annotation.rbi
@@ -44,8 +44,8 @@ module OpenAI
           attr_writer :text
 
           # A citation within the message that points to a specific quote from a specific
-          #   File associated with the assistant or the message. Generated when the assistant
-          #   uses the "file_search" tool to search files.
+          # File associated with the assistant or the message. Generated when the assistant
+          # uses the "file_search" tool to search files.
           sig do
             params(
               index: Integer,
diff --git a/rbi/lib/openai/models/beta/threads/file_path_annotation.rbi b/rbi/lib/openai/models/beta/threads/file_path_annotation.rbi
index 93c25e4e..87953109 100644
--- a/rbi/lib/openai/models/beta/threads/file_path_annotation.rbi
+++ b/rbi/lib/openai/models/beta/threads/file_path_annotation.rbi
@@ -31,7 +31,7 @@ module OpenAI
           attr_accessor :type
 
           # A URL for the file that's generated when the assistant used the
-          #   `code_interpreter` tool to generate a file.
+          # `code_interpreter` tool to generate a file.
           sig do
             params(
               end_index: Integer,
diff --git a/rbi/lib/openai/models/beta/threads/file_path_delta_annotation.rbi b/rbi/lib/openai/models/beta/threads/file_path_delta_annotation.rbi
index e8f4b3d2..4c2c8c36 100644
--- a/rbi/lib/openai/models/beta/threads/file_path_delta_annotation.rbi
+++ b/rbi/lib/openai/models/beta/threads/file_path_delta_annotation.rbi
@@ -44,7 +44,7 @@ module OpenAI
           attr_writer :text
 
           # A URL for the file that's generated when the assistant used the
-          #   `code_interpreter` tool to generate a file.
+          # `code_interpreter` tool to generate a file.
           sig do
             params(
               index: Integer,
diff --git a/rbi/lib/openai/models/beta/threads/image_file.rbi b/rbi/lib/openai/models/beta/threads/image_file.rbi
index 25343dd0..788ca5de 100644
--- a/rbi/lib/openai/models/beta/threads/image_file.rbi
+++ b/rbi/lib/openai/models/beta/threads/image_file.rbi
@@ -6,13 +6,13 @@ module OpenAI
       module Threads
         class ImageFile < OpenAI::Internal::Type::BaseModel
           # The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
-          #   in the message content. Set `purpose="vision"` when uploading the File if you
-          #   need to later display the file content.
+          # in the message content. Set `purpose="vision"` when uploading the File if you
+          # need to later display the file content.
           sig { returns(String) }
           attr_accessor :file_id
 
           # Specifies the detail level of the image if specified by the user. `low` uses
-          #   fewer tokens, you can opt in to high resolution using `high`.
+          # fewer tokens, you can opt in to high resolution using `high`.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::ImageFile::Detail::OrSymbol)) }
           attr_reader :detail
 
@@ -29,7 +29,7 @@ module OpenAI
           def to_hash; end
 
           # Specifies the detail level of the image if specified by the user. `low` uses
-          #   fewer tokens, you can opt in to high resolution using `high`.
+          # fewer tokens, you can opt in to high resolution using `high`.
           module Detail
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/image_file_content_block.rbi b/rbi/lib/openai/models/beta/threads/image_file_content_block.rbi
index b50f4624..90524b05 100644
--- a/rbi/lib/openai/models/beta/threads/image_file_content_block.rbi
+++ b/rbi/lib/openai/models/beta/threads/image_file_content_block.rbi
@@ -16,7 +16,7 @@ module OpenAI
           attr_accessor :type
 
           # References an image [File](https://platform.openai.com/docs/api-reference/files)
-          #   in the content of a message.
+          # in the content of a message.
           sig do
             params(
               image_file: T.any(OpenAI::Models::Beta::Threads::ImageFile, OpenAI::Internal::AnyHash),
diff --git a/rbi/lib/openai/models/beta/threads/image_file_delta.rbi b/rbi/lib/openai/models/beta/threads/image_file_delta.rbi
index da45783e..d0d866ed 100644
--- a/rbi/lib/openai/models/beta/threads/image_file_delta.rbi
+++ b/rbi/lib/openai/models/beta/threads/image_file_delta.rbi
@@ -6,7 +6,7 @@ module OpenAI
       module Threads
         class ImageFileDelta < OpenAI::Internal::Type::BaseModel
           # Specifies the detail level of the image if specified by the user. `low` uses
-          #   fewer tokens, you can opt in to high resolution using `high`.
+          # fewer tokens, you can opt in to high resolution using `high`.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::ImageFileDelta::Detail::TaggedSymbol)) }
           attr_reader :detail
 
@@ -14,8 +14,8 @@ module OpenAI
           attr_writer :detail
 
           # The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
-          #   in the message content. Set `purpose="vision"` when uploading the File if you
-          #   need to later display the file content.
+          # in the message content. Set `purpose="vision"` when uploading the File if you
+          # need to later display the file content.
           sig { returns(T.nilable(String)) }
           attr_reader :file_id
 
@@ -35,7 +35,7 @@ module OpenAI
           def to_hash; end
 
           # Specifies the detail level of the image if specified by the user. `low` uses
-          #   fewer tokens, you can opt in to high resolution using `high`.
+          # fewer tokens, you can opt in to high resolution using `high`.
           module Detail
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/image_file_delta_block.rbi b/rbi/lib/openai/models/beta/threads/image_file_delta_block.rbi
index 4dfa0c31..74be2ead 100644
--- a/rbi/lib/openai/models/beta/threads/image_file_delta_block.rbi
+++ b/rbi/lib/openai/models/beta/threads/image_file_delta_block.rbi
@@ -20,7 +20,7 @@ module OpenAI
           attr_writer :image_file
 
           # References an image [File](https://platform.openai.com/docs/api-reference/files)
-          #   in the content of a message.
+          # in the content of a message.
           sig do
             params(
               index: Integer,
diff --git a/rbi/lib/openai/models/beta/threads/image_url.rbi b/rbi/lib/openai/models/beta/threads/image_url.rbi
index d0e2b929..27f59579 100644
--- a/rbi/lib/openai/models/beta/threads/image_url.rbi
+++ b/rbi/lib/openai/models/beta/threads/image_url.rbi
@@ -6,12 +6,12 @@ module OpenAI
       module Threads
         class ImageURL < OpenAI::Internal::Type::BaseModel
           # The external URL of the image, must be a supported image types: jpeg, jpg, png,
-          #   gif, webp.
+          # gif, webp.
           sig { returns(String) }
           attr_accessor :url
 
           # Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
-          #   to high resolution using `high`. Default value is `auto`
+          # to high resolution using `high`. Default value is `auto`
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::ImageURL::Detail::OrSymbol)) }
           attr_reader :detail
 
@@ -28,7 +28,7 @@ module OpenAI
           def to_hash; end
 
           # Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
-          #   to high resolution using `high`. Default value is `auto`
+          # to high resolution using `high`. Default value is `auto`
           module Detail
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/image_url_delta.rbi b/rbi/lib/openai/models/beta/threads/image_url_delta.rbi
index 5efc1733..69c06976 100644
--- a/rbi/lib/openai/models/beta/threads/image_url_delta.rbi
+++ b/rbi/lib/openai/models/beta/threads/image_url_delta.rbi
@@ -6,7 +6,7 @@ module OpenAI
       module Threads
         class ImageURLDelta < OpenAI::Internal::Type::BaseModel
           # Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
-          #   to high resolution using `high`.
+          # to high resolution using `high`.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::ImageURLDelta::Detail::TaggedSymbol)) }
           attr_reader :detail
 
@@ -14,7 +14,7 @@ module OpenAI
           attr_writer :detail
 
           # The URL of the image, must be a supported image types: jpeg, jpg, png, gif,
-          #   webp.
+          # webp.
           sig { returns(T.nilable(String)) }
           attr_reader :url
 
@@ -33,7 +33,7 @@ module OpenAI
           def to_hash; end
 
           # Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
-          #   to high resolution using `high`.
+          # to high resolution using `high`.
           module Detail
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/message.rbi b/rbi/lib/openai/models/beta/threads/message.rbi
index 29e9be2a..ae809809 100644
--- a/rbi/lib/openai/models/beta/threads/message.rbi
+++ b/rbi/lib/openai/models/beta/threads/message.rbi
@@ -10,8 +10,8 @@ module OpenAI
           attr_accessor :id
 
           # If applicable, the ID of the
-          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) that
-          #   authored this message.
+          # [assistant](https://platform.openai.com/docs/api-reference/assistants) that
+          # authored this message.
           sig { returns(T.nilable(String)) }
           attr_accessor :assistant_id
 
@@ -59,11 +59,11 @@ module OpenAI
           attr_writer :incomplete_details
 
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           sig { returns(T.nilable(T::Hash[Symbol, String])) }
           attr_accessor :metadata
 
@@ -76,23 +76,23 @@ module OpenAI
           attr_accessor :role
 
           # The ID of the [run](https://platform.openai.com/docs/api-reference/runs)
-          #   associated with the creation of this message. Value is `null` when messages are
-          #   created manually using the create message or create thread endpoints.
+          # associated with the creation of this message. Value is `null` when messages are
+          # created manually using the create message or create thread endpoints.
           sig { returns(T.nilable(String)) }
           attr_accessor :run_id
 
           # The status of the message, which can be either `in_progress`, `incomplete`, or
-          #   `completed`.
+          # `completed`.
           sig { returns(OpenAI::Models::Beta::Threads::Message::Status::TaggedSymbol) }
           attr_accessor :status
 
           # The [thread](https://platform.openai.com/docs/api-reference/threads) ID that
-          #   this message belongs to.
+          # this message belongs to.
           sig { returns(String) }
           attr_accessor :thread_id
 
           # Represents a message within a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig do
             params(
               id: String,
@@ -319,7 +319,7 @@ module OpenAI
           end
 
           # The status of the message, which can be either `in_progress`, `incomplete`, or
-          #   `completed`.
+          # `completed`.
           module Status
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/message_content.rbi b/rbi/lib/openai/models/beta/threads/message_content.rbi
index 148ce53f..99a0c488 100644
--- a/rbi/lib/openai/models/beta/threads/message_content.rbi
+++ b/rbi/lib/openai/models/beta/threads/message_content.rbi
@@ -5,7 +5,7 @@ module OpenAI
     module Beta
       module Threads
         # References an image [File](https://platform.openai.com/docs/api-reference/files)
-        #   in the content of a message.
+        # in the content of a message.
         module MessageContent
           extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/beta/threads/message_content_delta.rbi b/rbi/lib/openai/models/beta/threads/message_content_delta.rbi
index c1dba8a3..a6ad0c14 100644
--- a/rbi/lib/openai/models/beta/threads/message_content_delta.rbi
+++ b/rbi/lib/openai/models/beta/threads/message_content_delta.rbi
@@ -5,7 +5,7 @@ module OpenAI
     module Beta
       module Threads
         # References an image [File](https://platform.openai.com/docs/api-reference/files)
-        #   in the content of a message.
+        # in the content of a message.
         module MessageContentDelta
           extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/beta/threads/message_content_part_param.rbi b/rbi/lib/openai/models/beta/threads/message_content_part_param.rbi
index 012559c9..fbe37283 100644
--- a/rbi/lib/openai/models/beta/threads/message_content_part_param.rbi
+++ b/rbi/lib/openai/models/beta/threads/message_content_part_param.rbi
@@ -5,7 +5,7 @@ module OpenAI
     module Beta
       module Threads
         # References an image [File](https://platform.openai.com/docs/api-reference/files)
-        #   in the content of a message.
+        # in the content of a message.
         module MessageContentPartParam
           extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/beta/threads/message_create_params.rbi b/rbi/lib/openai/models/beta/threads/message_create_params.rbi
index 32a91cfd..94ce2228 100644
--- a/rbi/lib/openai/models/beta/threads/message_create_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/message_create_params.rbi
@@ -27,10 +27,10 @@ module OpenAI
 
           # The role of the entity that is creating the message. Allowed values include:
           #
-          #   - `user`: Indicates the message is sent by an actual user and should be used in
-          #     most cases to represent user-generated messages.
-          #   - `assistant`: Indicates the message is generated by the assistant. Use this
-          #     value to insert messages from the assistant into the conversation.
+          # - `user`: Indicates the message is sent by an actual user and should be used in
+          #   most cases to represent user-generated messages.
+          # - `assistant`: Indicates the message is generated by the assistant. Use this
+          #   value to insert messages from the assistant into the conversation.
           sig { returns(OpenAI::Models::Beta::Threads::MessageCreateParams::Role::OrSymbol) }
           attr_accessor :role
 
@@ -39,11 +39,11 @@ module OpenAI
           attr_accessor :attachments
 
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           sig { returns(T.nilable(T::Hash[Symbol, String])) }
           attr_accessor :metadata
 
@@ -124,10 +124,10 @@ module OpenAI
 
           # The role of the entity that is creating the message. Allowed values include:
           #
-          #   - `user`: Indicates the message is sent by an actual user and should be used in
-          #     most cases to represent user-generated messages.
-          #   - `assistant`: Indicates the message is generated by the assistant. Use this
-          #     value to insert messages from the assistant into the conversation.
+          # - `user`: Indicates the message is sent by an actual user and should be used in
+          #   most cases to represent user-generated messages.
+          # - `assistant`: Indicates the message is generated by the assistant. Use this
+          #   value to insert messages from the assistant into the conversation.
           module Role
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/message_delta_event.rbi b/rbi/lib/openai/models/beta/threads/message_delta_event.rbi
index 359c70cd..f5e5b29b 100644
--- a/rbi/lib/openai/models/beta/threads/message_delta_event.rbi
+++ b/rbi/lib/openai/models/beta/threads/message_delta_event.rbi
@@ -21,7 +21,7 @@ module OpenAI
           attr_accessor :object
 
           # Represents a message delta i.e. any changed fields on a message during
-          #   streaming.
+          # streaming.
           sig do
             params(
               id: String,
diff --git a/rbi/lib/openai/models/beta/threads/message_list_params.rbi b/rbi/lib/openai/models/beta/threads/message_list_params.rbi
index 66577b99..11ea50e8 100644
--- a/rbi/lib/openai/models/beta/threads/message_list_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/message_list_params.rbi
@@ -9,9 +9,9 @@ module OpenAI
           include OpenAI::Internal::Type::RequestParameters
 
           # A cursor for use in pagination. `after` is an object ID that defines your place
-          #   in the list. For instance, if you make a list request and receive 100 objects,
-          #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-          #   fetch the next page of the list.
+          # in the list. For instance, if you make a list request and receive 100 objects,
+          # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+          # fetch the next page of the list.
           sig { returns(T.nilable(String)) }
           attr_reader :after
 
@@ -19,9 +19,9 @@ module OpenAI
           attr_writer :after
 
           # A cursor for use in pagination. `before` is an object ID that defines your place
-          #   in the list. For instance, if you make a list request and receive 100 objects,
-          #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-          #   to fetch the previous page of the list.
+          # in the list. For instance, if you make a list request and receive 100 objects,
+          # starting with obj_foo, your subsequent call can include before=obj_foo in order
+          # to fetch the previous page of the list.
           sig { returns(T.nilable(String)) }
           attr_reader :before
 
@@ -29,7 +29,7 @@ module OpenAI
           attr_writer :before
 
           # A limit on the number of objects to be returned. Limit can range between 1 and
-          #   100, and the default is 20.
+          # 100, and the default is 20.
           sig { returns(T.nilable(Integer)) }
           attr_reader :limit
 
@@ -37,7 +37,7 @@ module OpenAI
           attr_writer :limit
 
           # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #   order and `desc` for descending order.
+          # order and `desc` for descending order.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::MessageListParams::Order::OrSymbol)) }
           attr_reader :order
 
@@ -80,7 +80,7 @@ module OpenAI
           def to_hash; end
 
           # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #   order and `desc` for descending order.
+          # order and `desc` for descending order.
           module Order
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/message_update_params.rbi b/rbi/lib/openai/models/beta/threads/message_update_params.rbi
index 90b4db86..09e67673 100644
--- a/rbi/lib/openai/models/beta/threads/message_update_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/message_update_params.rbi
@@ -12,11 +12,11 @@ module OpenAI
           attr_accessor :thread_id
 
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           sig { returns(T.nilable(T::Hash[Symbol, String])) }
           attr_accessor :metadata
 
diff --git a/rbi/lib/openai/models/beta/threads/required_action_function_tool_call.rbi b/rbi/lib/openai/models/beta/threads/required_action_function_tool_call.rbi
index 6aa38a1e..61ec2da8 100644
--- a/rbi/lib/openai/models/beta/threads/required_action_function_tool_call.rbi
+++ b/rbi/lib/openai/models/beta/threads/required_action_function_tool_call.rbi
@@ -6,9 +6,9 @@ module OpenAI
       module Threads
         class RequiredActionFunctionToolCall < OpenAI::Internal::Type::BaseModel
           # The ID of the tool call. This ID must be referenced when you submit the tool
-          #   outputs in using the
-          #   [Submit tool outputs to run](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
-          #   endpoint.
+          # outputs in using the
+          # [Submit tool outputs to run](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
+          # endpoint.
           sig { returns(String) }
           attr_accessor :id
 
@@ -25,7 +25,7 @@ module OpenAI
           attr_writer :function
 
           # The type of tool call the output is required for. For now, this is always
-          #   `function`.
+          # `function`.
           sig { returns(Symbol) }
           attr_accessor :type
 
diff --git a/rbi/lib/openai/models/beta/threads/run.rbi b/rbi/lib/openai/models/beta/threads/run.rbi
index 7170660e..fd1569df 100644
--- a/rbi/lib/openai/models/beta/threads/run.rbi
+++ b/rbi/lib/openai/models/beta/threads/run.rbi
@@ -10,8 +10,8 @@ module OpenAI
           attr_accessor :id
 
           # The ID of the
-          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-          #   execution of this run.
+          # [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
+          # execution of this run.
           sig { returns(String) }
           attr_accessor :assistant_id
 
@@ -36,7 +36,7 @@ module OpenAI
           attr_accessor :failed_at
 
           # Details on why the run is incomplete. Will be `null` if the run is not
-          #   incomplete.
+          # incomplete.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::Run::IncompleteDetails)) }
           attr_reader :incomplete_details
 
@@ -49,8 +49,8 @@ module OpenAI
           attr_writer :incomplete_details
 
           # The instructions that the
-          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-          #   this run.
+          # [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
+          # this run.
           sig { returns(String) }
           attr_accessor :instructions
 
@@ -67,27 +67,27 @@ module OpenAI
           attr_writer :last_error
 
           # The maximum number of completion tokens specified to have been used over the
-          #   course of the run.
+          # course of the run.
           sig { returns(T.nilable(Integer)) }
           attr_accessor :max_completion_tokens
 
           # The maximum number of prompt tokens specified to have been used over the course
-          #   of the run.
+          # of the run.
           sig { returns(T.nilable(Integer)) }
           attr_accessor :max_prompt_tokens
 
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           sig { returns(T.nilable(T::Hash[Symbol, String])) }
           attr_accessor :metadata
 
           # The model that the
-          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-          #   this run.
+          # [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
+          # this run.
           sig { returns(String) }
           attr_accessor :model
 
@@ -96,13 +96,13 @@ module OpenAI
           attr_accessor :object
 
           # Whether to enable
-          #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-          #   during tool use.
+          # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+          # during tool use.
           sig { returns(T::Boolean) }
           attr_accessor :parallel_tool_calls
 
           # Details on the action required to continue the run. Will be `null` if no action
-          #   is required.
+          # is required.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::Run::RequiredAction)) }
           attr_reader :required_action
 
@@ -115,25 +115,25 @@ module OpenAI
           attr_writer :required_action
 
           # Specifies the format that the model must output. Compatible with
-          #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-          #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-          #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+          # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+          # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+          # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
           #
-          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #   in the
-          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          # Outputs which ensures the model will match your supplied JSON schema. Learn more
+          # in the
+          # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-          #   message the model generates is valid JSON.
+          # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+          # message the model generates is valid JSON.
           #
-          #   **Important:** when using JSON mode, you **must** also instruct the model to
-          #   produce JSON yourself via a system or user message. Without this, the model may
-          #   generate an unending stream of whitespace until the generation reaches the token
-          #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-          #   the message content may be partially cut off if `finish_reason="length"`, which
-          #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-          #   max context length.
+          # **Important:** when using JSON mode, you **must** also instruct the model to
+          # produce JSON yourself via a system or user message. Without this, the model may
+          # generate an unending stream of whitespace until the generation reaches the token
+          # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+          # the message content may be partially cut off if `finish_reason="length"`, which
+          # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+          # max context length.
           sig do
             returns(
               T.nilable(
@@ -153,23 +153,23 @@ module OpenAI
           attr_accessor :started_at
 
           # The status of the run, which can be either `queued`, `in_progress`,
-          #   `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
-          #   `incomplete`, or `expired`.
+          # `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
+          # `incomplete`, or `expired`.
           sig { returns(OpenAI::Models::Beta::Threads::RunStatus::TaggedSymbol) }
           attr_accessor :status
 
           # The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
-          #   that was executed on as a part of this run.
+          # that was executed on as a part of this run.
           sig { returns(String) }
           attr_accessor :thread_id
 
           # Controls which (if any) tool is called by the model. `none` means the model will
-          #   not call any tools and instead generates a message. `auto` is the default value
-          #   and means the model can pick between generating a message or calling one or more
-          #   tools. `required` means the model must call one or more tools before responding
-          #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
-          #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-          #   call that tool.
+          # not call any tools and instead generates a message. `auto` is the default value
+          # and means the model can pick between generating a message or calling one or more
+          # tools. `required` means the model must call one or more tools before responding
+          # to the user. Specifying a particular tool like `{"type": "file_search"}` or
+          # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+          # call that tool.
           sig do
             returns(
               T.nilable(
@@ -183,8 +183,8 @@ module OpenAI
           attr_accessor :tool_choice
 
           # The list of tools that the
-          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
-          #   this run.
+          # [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
+          # this run.
           sig do
             returns(
               T::Array[
@@ -199,7 +199,7 @@ module OpenAI
           attr_accessor :tools
 
           # Controls for how a thread will be truncated prior to the run. Use this to
-          #   control the intial context window of the run.
+          # control the intial context window of the run.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::Run::TruncationStrategy)) }
           attr_reader :truncation_strategy
 
@@ -212,7 +212,7 @@ module OpenAI
           attr_writer :truncation_strategy
 
           # Usage statistics related to the run. This value will be `null` if the run is not
-          #   in a terminal state (i.e. `in_progress`, `queued`, etc.).
+          # in a terminal state (i.e. `in_progress`, `queued`, etc.).
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::Run::Usage)) }
           attr_reader :usage
 
@@ -228,7 +228,7 @@ module OpenAI
           attr_accessor :top_p
 
           # Represents an execution run on a
-          #   [thread](https://platform.openai.com/docs/api-reference/threads).
+          # [thread](https://platform.openai.com/docs/api-reference/threads).
           sig do
             params(
               id: String,
@@ -367,7 +367,7 @@ module OpenAI
 
           class IncompleteDetails < OpenAI::Internal::Type::BaseModel
             # The reason why the run is incomplete. This will point to which specific token
-            #   limit was reached over the course of the run.
+            # limit was reached over the course of the run.
             sig { returns(T.nilable(OpenAI::Models::Beta::Threads::Run::IncompleteDetails::Reason::TaggedSymbol)) }
             attr_reader :reason
 
@@ -375,7 +375,7 @@ module OpenAI
             attr_writer :reason
 
             # Details on why the run is incomplete. Will be `null` if the run is not
-            #   incomplete.
+            # incomplete.
             sig do
               params(reason: OpenAI::Models::Beta::Threads::Run::IncompleteDetails::Reason::OrSymbol)
                 .returns(T.attached_class)
@@ -386,7 +386,7 @@ module OpenAI
             def to_hash; end
 
             # The reason why the run is incomplete. This will point to which specific token
-            #   limit was reached over the course of the run.
+            # limit was reached over the course of the run.
             module Reason
               extend OpenAI::Internal::Type::Enum
 
@@ -464,7 +464,7 @@ module OpenAI
             attr_accessor :type
 
             # Details on the action required to continue the run. Will be `null` if no action
-            #   is required.
+            # is required.
             sig do
               params(
                 submit_tool_outputs: T.any(OpenAI::Models::Beta::Threads::Run::RequiredAction::SubmitToolOutputs, OpenAI::Internal::AnyHash),
@@ -503,19 +503,19 @@ module OpenAI
 
           class TruncationStrategy < OpenAI::Internal::Type::BaseModel
             # 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`.
+            # `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`.
             sig { returns(OpenAI::Models::Beta::Threads::Run::TruncationStrategy::Type::TaggedSymbol) }
             attr_accessor :type
 
             # The number of most recent messages from the thread when constructing the context
-            #   for the run.
+            # for the run.
             sig { returns(T.nilable(Integer)) }
             attr_accessor :last_messages
 
             # Controls for how a thread will be truncated prior to the run. Use this to
-            #   control the intial context window of the run.
+            # control the intial context window of the run.
             sig do
               params(
                 type: OpenAI::Models::Beta::Threads::Run::TruncationStrategy::Type::OrSymbol,
@@ -537,9 +537,9 @@ module OpenAI
             def to_hash; end
 
             # 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`.
+            # `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`.
             module Type
               extend OpenAI::Internal::Type::Enum
 
@@ -571,7 +571,7 @@ module OpenAI
             attr_accessor :total_tokens
 
             # Usage statistics related to the run. This value will be `null` if the run is not
-            #   in a terminal state (i.e. `in_progress`, `queued`, etc.).
+            # in a terminal state (i.e. `in_progress`, `queued`, etc.).
             sig do
               params(
                 completion_tokens: Integer,
diff --git a/rbi/lib/openai/models/beta/threads/run_create_params.rbi b/rbi/lib/openai/models/beta/threads/run_create_params.rbi
index 58c097df..bfa2e42d 100644
--- a/rbi/lib/openai/models/beta/threads/run_create_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/run_create_params.rbi
@@ -9,18 +9,18 @@ module OpenAI
           include OpenAI::Internal::Type::RequestParameters
 
           # The ID of the
-          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
-          #   execute this run.
+          # [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+          # execute this run.
           sig { returns(String) }
           attr_accessor :assistant_id
 
           # A list of additional fields to include in the response. Currently the only
-          #   supported value is `step_details.tool_calls[*].file_search.results[*].content`
-          #   to fetch the file search result content.
+          # supported value is `step_details.tool_calls[*].file_search.results[*].content`
+          # to fetch the file search result content.
           #
-          #   See the
-          #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-          #   for more information.
+          # See the
+          # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+          # for more information.
           sig { returns(T.nilable(T::Array[OpenAI::Models::Beta::Threads::Runs::RunStepInclude::OrSymbol])) }
           attr_reader :include
 
@@ -28,8 +28,8 @@ module OpenAI
           attr_writer :include
 
           # Appends additional instructions at the end of the instructions for the run. This
-          #   is useful for modifying the behavior on a per-run basis without overriding other
-          #   instructions.
+          # is useful for modifying the behavior on a per-run basis without overriding other
+          # instructions.
           sig { returns(T.nilable(String)) }
           attr_accessor :additional_instructions
 
@@ -38,46 +38,46 @@ module OpenAI
           attr_accessor :additional_messages
 
           # Overrides the
-          #   [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
-          #   of the assistant. This is useful for modifying the behavior on a per-run basis.
+          # [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
+          # of the assistant. This is useful for modifying the behavior on a per-run basis.
           sig { returns(T.nilable(String)) }
           attr_accessor :instructions
 
           # The maximum number of completion tokens that may be used over the course of the
-          #   run. The run will make a best effort to use only the number of completion tokens
-          #   specified, across multiple turns of the run. If the run exceeds the number of
-          #   completion tokens specified, the run will end with status `incomplete`. See
-          #   `incomplete_details` for more info.
+          # run. The run will make a best effort to use only the number of completion tokens
+          # specified, across multiple turns of the run. If the run exceeds the number of
+          # completion tokens specified, the run will end with status `incomplete`. See
+          # `incomplete_details` for more info.
           sig { returns(T.nilable(Integer)) }
           attr_accessor :max_completion_tokens
 
           # The maximum number of prompt tokens that may be used over the course of the run.
-          #   The run will make a best effort to use only the number of prompt tokens
-          #   specified, across multiple turns of the run. If the run exceeds the number of
-          #   prompt tokens specified, the run will end with status `incomplete`. See
-          #   `incomplete_details` for more info.
+          # The run will make a best effort to use only the number of prompt tokens
+          # specified, across multiple turns of the run. If the run exceeds the number of
+          # prompt tokens specified, the run will end with status `incomplete`. See
+          # `incomplete_details` for more info.
           sig { returns(T.nilable(Integer)) }
           attr_accessor :max_prompt_tokens
 
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           sig { returns(T.nilable(T::Hash[Symbol, String])) }
           attr_accessor :metadata
 
           # The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-          #   be used to execute this run. If a value is provided here, it will override the
-          #   model associated with the assistant. If not, the model associated with the
-          #   assistant will be used.
+          # be used to execute this run. If a value is provided here, it will override the
+          # model associated with the assistant. If not, the model associated with the
+          # assistant will be used.
           sig { returns(T.nilable(T.any(String, OpenAI::Models::ChatModel::OrSymbol))) }
           attr_accessor :model
 
           # Whether to enable
-          #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-          #   during tool use.
+          # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+          # during tool use.
           sig { returns(T.nilable(T::Boolean)) }
           attr_reader :parallel_tool_calls
 
@@ -86,33 +86,33 @@ module OpenAI
 
           # **o-series models only**
           #
-          #   Constrains effort on reasoning for
-          #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-          #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-          #   result in faster responses and fewer tokens used on reasoning in a response.
+          # Constrains effort on reasoning for
+          # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+          # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+          # result in faster responses and fewer tokens used on reasoning in a response.
           sig { returns(T.nilable(OpenAI::Models::ReasoningEffort::OrSymbol)) }
           attr_accessor :reasoning_effort
 
           # Specifies the format that the model must output. Compatible with
-          #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-          #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-          #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+          # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+          # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+          # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
           #
-          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #   in the
-          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          # Outputs which ensures the model will match your supplied JSON schema. Learn more
+          # in the
+          # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-          #   message the model generates is valid JSON.
+          # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+          # message the model generates is valid JSON.
           #
-          #   **Important:** when using JSON mode, you **must** also instruct the model to
-          #   produce JSON yourself via a system or user message. Without this, the model may
-          #   generate an unending stream of whitespace until the generation reaches the token
-          #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-          #   the message content may be partially cut off if `finish_reason="length"`, which
-          #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-          #   max context length.
+          # **Important:** when using JSON mode, you **must** also instruct the model to
+          # produce JSON yourself via a system or user message. Without this, the model may
+          # generate an unending stream of whitespace until the generation reaches the token
+          # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+          # the message content may be partially cut off if `finish_reason="length"`, which
+          # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+          # max context length.
           sig do
             returns(
               T.nilable(
@@ -128,18 +128,18 @@ module OpenAI
           attr_accessor :response_format
 
           # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-          #   make the output more random, while lower values like 0.2 will make it more
-          #   focused and deterministic.
+          # make the output more random, while lower values like 0.2 will make it more
+          # focused and deterministic.
           sig { returns(T.nilable(Float)) }
           attr_accessor :temperature
 
           # Controls which (if any) tool is called by the model. `none` means the model will
-          #   not call any tools and instead generates a message. `auto` is the default value
-          #   and means the model can pick between generating a message or calling one or more
-          #   tools. `required` means the model must call one or more tools before responding
-          #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
-          #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-          #   call that tool.
+          # not call any tools and instead generates a message. `auto` is the default value
+          # and means the model can pick between generating a message or calling one or more
+          # tools. `required` means the model must call one or more tools before responding
+          # to the user. Specifying a particular tool like `{"type": "file_search"}` or
+          # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+          # call that tool.
           sig do
             returns(
               T.nilable(
@@ -153,7 +153,7 @@ module OpenAI
           attr_accessor :tool_choice
 
           # Override the tools the assistant can use for this run. This is useful for
-          #   modifying the behavior on a per-run basis.
+          # modifying the behavior on a per-run basis.
           sig do
             returns(
               T.nilable(
@@ -170,15 +170,15 @@ module OpenAI
           attr_accessor :tools
 
           # An alternative to sampling with temperature, called nucleus sampling, where the
-          #   model considers the results of the tokens with top_p probability mass. So 0.1
-          #   means only the tokens comprising the top 10% probability mass are considered.
+          # model considers the results of the tokens with top_p probability mass. So 0.1
+          # means only the tokens comprising the top 10% probability mass are considered.
           #
-          #   We generally recommend altering this or temperature but not both.
+          # We generally recommend altering this or temperature but not both.
           sig { returns(T.nilable(Float)) }
           attr_accessor :top_p
 
           # Controls for how a thread will be truncated prior to the run. Use this to
-          #   control the intial context window of the run.
+          # control the intial context window of the run.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::RunCreateParams::TruncationStrategy)) }
           attr_reader :truncation_strategy
 
@@ -329,10 +329,10 @@ module OpenAI
 
             # The role of the entity that is creating the message. Allowed values include:
             #
-            #   - `user`: Indicates the message is sent by an actual user and should be used in
-            #     most cases to represent user-generated messages.
-            #   - `assistant`: Indicates the message is generated by the assistant. Use this
-            #     value to insert messages from the assistant into the conversation.
+            # - `user`: Indicates the message is sent by an actual user and should be used in
+            #   most cases to represent user-generated messages.
+            # - `assistant`: Indicates the message is generated by the assistant. Use this
+            #   value to insert messages from the assistant into the conversation.
             sig { returns(OpenAI::Models::Beta::Threads::RunCreateParams::AdditionalMessage::Role::OrSymbol) }
             attr_accessor :role
 
@@ -345,11 +345,11 @@ module OpenAI
             attr_accessor :attachments
 
             # Set of 16 key-value pairs that can be attached to an object. This can be useful
-            #   for storing additional information about the object in a structured format, and
-            #   querying for objects via API or the dashboard.
+            # for storing additional information about the object in a structured format, and
+            # querying for objects via API or the dashboard.
             #
-            #   Keys are strings with a maximum length of 64 characters. Values are strings with
-            #   a maximum length of 512 characters.
+            # Keys are strings with a maximum length of 64 characters. Values are strings with
+            # a maximum length of 512 characters.
             sig { returns(T.nilable(T::Hash[Symbol, String])) }
             attr_accessor :metadata
 
@@ -433,10 +433,10 @@ module OpenAI
 
             # The role of the entity that is creating the message. Allowed values include:
             #
-            #   - `user`: Indicates the message is sent by an actual user and should be used in
-            #     most cases to represent user-generated messages.
-            #   - `assistant`: Indicates the message is generated by the assistant. Use this
-            #     value to insert messages from the assistant into the conversation.
+            # - `user`: Indicates the message is sent by an actual user and should be used in
+            #   most cases to represent user-generated messages.
+            # - `assistant`: Indicates the message is generated by the assistant. Use this
+            #   value to insert messages from the assistant into the conversation.
             module Role
               extend OpenAI::Internal::Type::Enum
 
@@ -558,9 +558,9 @@ module OpenAI
           end
 
           # The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-          #   be used to execute this run. If a value is provided here, it will override the
-          #   model associated with the assistant. If not, the model associated with the
-          #   assistant will be used.
+          # be used to execute this run. If a value is provided here, it will override the
+          # model associated with the assistant. If not, the model associated with the
+          # assistant will be used.
           module Model
             extend OpenAI::Internal::Type::Union
 
@@ -570,19 +570,19 @@ module OpenAI
 
           class TruncationStrategy < OpenAI::Internal::Type::BaseModel
             # 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`.
+            # `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`.
             sig { returns(OpenAI::Models::Beta::Threads::RunCreateParams::TruncationStrategy::Type::OrSymbol) }
             attr_accessor :type
 
             # The number of most recent messages from the thread when constructing the context
-            #   for the run.
+            # for the run.
             sig { returns(T.nilable(Integer)) }
             attr_accessor :last_messages
 
             # Controls for how a thread will be truncated prior to the run. Use this to
-            #   control the intial context window of the run.
+            # control the intial context window of the run.
             sig do
               params(
                 type: OpenAI::Models::Beta::Threads::RunCreateParams::TruncationStrategy::Type::OrSymbol,
@@ -604,9 +604,9 @@ module OpenAI
             def to_hash; end
 
             # 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`.
+            # `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`.
             module Type
               extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/run_list_params.rbi b/rbi/lib/openai/models/beta/threads/run_list_params.rbi
index e266f66c..0d5a35b2 100644
--- a/rbi/lib/openai/models/beta/threads/run_list_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/run_list_params.rbi
@@ -9,9 +9,9 @@ module OpenAI
           include OpenAI::Internal::Type::RequestParameters
 
           # A cursor for use in pagination. `after` is an object ID that defines your place
-          #   in the list. For instance, if you make a list request and receive 100 objects,
-          #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-          #   fetch the next page of the list.
+          # in the list. For instance, if you make a list request and receive 100 objects,
+          # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+          # fetch the next page of the list.
           sig { returns(T.nilable(String)) }
           attr_reader :after
 
@@ -19,9 +19,9 @@ module OpenAI
           attr_writer :after
 
           # A cursor for use in pagination. `before` is an object ID that defines your place
-          #   in the list. For instance, if you make a list request and receive 100 objects,
-          #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-          #   to fetch the previous page of the list.
+          # in the list. For instance, if you make a list request and receive 100 objects,
+          # starting with obj_foo, your subsequent call can include before=obj_foo in order
+          # to fetch the previous page of the list.
           sig { returns(T.nilable(String)) }
           attr_reader :before
 
@@ -29,7 +29,7 @@ module OpenAI
           attr_writer :before
 
           # A limit on the number of objects to be returned. Limit can range between 1 and
-          #   100, and the default is 20.
+          # 100, and the default is 20.
           sig { returns(T.nilable(Integer)) }
           attr_reader :limit
 
@@ -37,7 +37,7 @@ module OpenAI
           attr_writer :limit
 
           # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #   order and `desc` for descending order.
+          # order and `desc` for descending order.
           sig { returns(T.nilable(OpenAI::Models::Beta::Threads::RunListParams::Order::OrSymbol)) }
           attr_reader :order
 
@@ -71,7 +71,7 @@ module OpenAI
           def to_hash; end
 
           # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #   order and `desc` for descending order.
+          # order and `desc` for descending order.
           module Order
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/run_status.rbi b/rbi/lib/openai/models/beta/threads/run_status.rbi
index 5de3efc2..b9c1490b 100644
--- a/rbi/lib/openai/models/beta/threads/run_status.rbi
+++ b/rbi/lib/openai/models/beta/threads/run_status.rbi
@@ -5,8 +5,8 @@ module OpenAI
     module Beta
       module Threads
         # The status of the run, which can be either `queued`, `in_progress`,
-        #   `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
-        #   `incomplete`, or `expired`.
+        # `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
+        # `incomplete`, or `expired`.
         module RunStatus
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/run_submit_tool_outputs_params.rbi b/rbi/lib/openai/models/beta/threads/run_submit_tool_outputs_params.rbi
index 2ae4e56d..e347bb7b 100644
--- a/rbi/lib/openai/models/beta/threads/run_submit_tool_outputs_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/run_submit_tool_outputs_params.rbi
@@ -46,7 +46,7 @@ module OpenAI
             attr_writer :output
 
             # The ID of the tool call in the `required_action` object within the run object
-            #   the output is being submitted for.
+            # the output is being submitted for.
             sig { returns(T.nilable(String)) }
             attr_reader :tool_call_id
 
diff --git a/rbi/lib/openai/models/beta/threads/run_update_params.rbi b/rbi/lib/openai/models/beta/threads/run_update_params.rbi
index 28bb34de..9c4e4bb2 100644
--- a/rbi/lib/openai/models/beta/threads/run_update_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/run_update_params.rbi
@@ -12,11 +12,11 @@ module OpenAI
           attr_accessor :thread_id
 
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           sig { returns(T.nilable(T::Hash[Symbol, String])) }
           attr_accessor :metadata
 
diff --git a/rbi/lib/openai/models/beta/threads/runs/code_interpreter_output_image.rbi b/rbi/lib/openai/models/beta/threads/runs/code_interpreter_output_image.rbi
index 72557474..3cc75c96 100644
--- a/rbi/lib/openai/models/beta/threads/runs/code_interpreter_output_image.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/code_interpreter_output_image.rbi
@@ -45,7 +45,7 @@ module OpenAI
 
             class Image < OpenAI::Internal::Type::BaseModel
               # The [file](https://platform.openai.com/docs/api-reference/files) ID of the
-              #   image.
+              # image.
               sig { returns(T.nilable(String)) }
               attr_reader :file_id
 
diff --git a/rbi/lib/openai/models/beta/threads/runs/code_interpreter_tool_call.rbi b/rbi/lib/openai/models/beta/threads/runs/code_interpreter_tool_call.rbi
index 82827731..898db2f2 100644
--- a/rbi/lib/openai/models/beta/threads/runs/code_interpreter_tool_call.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/code_interpreter_tool_call.rbi
@@ -26,7 +26,7 @@ module OpenAI
             attr_writer :code_interpreter
 
             # The type of tool call. This is always going to be `code_interpreter` for this
-            #   type of tool call.
+            # type of tool call.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -62,8 +62,8 @@ module OpenAI
               attr_accessor :input
 
               # The outputs from the Code Interpreter tool call. Code Interpreter can output one
-              #   or more items, including text (`logs`) or images (`image`). Each of these are
-              #   represented by a different object type.
+              # or more items, including text (`logs`) or images (`image`). Each of these are
+              # represented by a different object type.
               sig do
                 returns(
                   T::Array[
@@ -177,7 +177,7 @@ module OpenAI
 
                   class Image < OpenAI::Internal::Type::BaseModel
                     # The [file](https://platform.openai.com/docs/api-reference/files) ID of the
-                    #   image.
+                    # image.
                     sig { returns(String) }
                     attr_accessor :file_id
 
diff --git a/rbi/lib/openai/models/beta/threads/runs/code_interpreter_tool_call_delta.rbi b/rbi/lib/openai/models/beta/threads/runs/code_interpreter_tool_call_delta.rbi
index 0864612a..06162584 100644
--- a/rbi/lib/openai/models/beta/threads/runs/code_interpreter_tool_call_delta.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/code_interpreter_tool_call_delta.rbi
@@ -11,7 +11,7 @@ module OpenAI
             attr_accessor :index
 
             # The type of tool call. This is always going to be `code_interpreter` for this
-            #   type of tool call.
+            # type of tool call.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -74,8 +74,8 @@ module OpenAI
               attr_writer :input
 
               # The outputs from the Code Interpreter tool call. Code Interpreter can output one
-              #   or more items, including text (`logs`) or images (`image`). Each of these are
-              #   represented by a different object type.
+              # or more items, including text (`logs`) or images (`image`). Each of these are
+              # represented by a different object type.
               sig do
                 returns(
                   T.nilable(
diff --git a/rbi/lib/openai/models/beta/threads/runs/file_search_tool_call.rbi b/rbi/lib/openai/models/beta/threads/runs/file_search_tool_call.rbi
index 871e455f..b11ca61e 100644
--- a/rbi/lib/openai/models/beta/threads/runs/file_search_tool_call.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/file_search_tool_call.rbi
@@ -23,7 +23,7 @@ module OpenAI
             attr_writer :file_search
 
             # The type of tool call. This is always going to be `file_search` for this type of
-            #   tool call.
+            # tool call.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -109,7 +109,7 @@ module OpenAI
 
               class RankingOptions < OpenAI::Internal::Type::BaseModel
                 # The ranker to use for the file search. If not specified will use the `auto`
-                #   ranker.
+                # ranker.
                 sig do
                   returns(
                     OpenAI::Models::Beta::Threads::Runs::FileSearchToolCall::FileSearch::RankingOptions::Ranker::TaggedSymbol
@@ -118,7 +118,7 @@ module OpenAI
                 attr_accessor :ranker
 
                 # The score threshold for the file search. All values must be a floating point
-                #   number between 0 and 1.
+                # number between 0 and 1.
                 sig { returns(Float) }
                 attr_accessor :score_threshold
 
@@ -144,7 +144,7 @@ module OpenAI
                 def to_hash; end
 
                 # The ranker to use for the file search. If not specified will use the `auto`
-                #   ranker.
+                # ranker.
                 module Ranker
                   extend OpenAI::Internal::Type::Enum
 
@@ -190,12 +190,12 @@ module OpenAI
                 attr_accessor :file_name
 
                 # The score of the result. All values must be a floating point number between 0
-                #   and 1.
+                # and 1.
                 sig { returns(Float) }
                 attr_accessor :score
 
                 # The content of the result that was found. The content is only included if
-                #   requested via the include query parameter.
+                # requested via the include query parameter.
                 sig do
                   returns(
                     T.nilable(T::Array[OpenAI::Models::Beta::Threads::Runs::FileSearchToolCall::FileSearch::Result::Content])
diff --git a/rbi/lib/openai/models/beta/threads/runs/file_search_tool_call_delta.rbi b/rbi/lib/openai/models/beta/threads/runs/file_search_tool_call_delta.rbi
index 2714a161..80a2db89 100644
--- a/rbi/lib/openai/models/beta/threads/runs/file_search_tool_call_delta.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/file_search_tool_call_delta.rbi
@@ -15,7 +15,7 @@ module OpenAI
             attr_accessor :index
 
             # The type of tool call. This is always going to be `file_search` for this type of
-            #   tool call.
+            # tool call.
             sig { returns(Symbol) }
             attr_accessor :type
 
diff --git a/rbi/lib/openai/models/beta/threads/runs/function_tool_call.rbi b/rbi/lib/openai/models/beta/threads/runs/function_tool_call.rbi
index 2454344b..12d00e7e 100644
--- a/rbi/lib/openai/models/beta/threads/runs/function_tool_call.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/function_tool_call.rbi
@@ -23,7 +23,7 @@ module OpenAI
             attr_writer :function
 
             # The type of tool call. This is always going to be `function` for this type of
-            #   tool call.
+            # tool call.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -55,8 +55,8 @@ module OpenAI
               attr_accessor :name
 
               # The output of the function. This will be `null` if the outputs have not been
-              #   [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
-              #   yet.
+              # [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
+              # yet.
               sig { returns(T.nilable(String)) }
               attr_accessor :output
 
diff --git a/rbi/lib/openai/models/beta/threads/runs/function_tool_call_delta.rbi b/rbi/lib/openai/models/beta/threads/runs/function_tool_call_delta.rbi
index f275cddb..df5bcf34 100644
--- a/rbi/lib/openai/models/beta/threads/runs/function_tool_call_delta.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/function_tool_call_delta.rbi
@@ -11,7 +11,7 @@ module OpenAI
             attr_accessor :index
 
             # The type of tool call. This is always going to be `function` for this type of
-            #   tool call.
+            # tool call.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -74,8 +74,8 @@ module OpenAI
               attr_writer :name
 
               # The output of the function. This will be `null` if the outputs have not been
-              #   [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
-              #   yet.
+              # [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
+              # yet.
               sig { returns(T.nilable(String)) }
               attr_accessor :output
 
diff --git a/rbi/lib/openai/models/beta/threads/runs/run_step.rbi b/rbi/lib/openai/models/beta/threads/runs/run_step.rbi
index a5ddcb52..7519ba3f 100644
--- a/rbi/lib/openai/models/beta/threads/runs/run_step.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/run_step.rbi
@@ -11,8 +11,8 @@ module OpenAI
             attr_accessor :id
 
             # The ID of the
-            #   [assistant](https://platform.openai.com/docs/api-reference/assistants)
-            #   associated with the run step.
+            # [assistant](https://platform.openai.com/docs/api-reference/assistants)
+            # associated with the run step.
             sig { returns(String) }
             attr_accessor :assistant_id
 
@@ -29,7 +29,7 @@ module OpenAI
             attr_accessor :created_at
 
             # The Unix timestamp (in seconds) for when the run step expired. A step is
-            #   considered expired if the parent run is expired.
+            # considered expired if the parent run is expired.
             sig { returns(T.nilable(Integer)) }
             attr_accessor :expired_at
 
@@ -38,7 +38,7 @@ module OpenAI
             attr_accessor :failed_at
 
             # The last error associated with this run step. Will be `null` if there are no
-            #   errors.
+            # errors.
             sig { returns(T.nilable(OpenAI::Models::Beta::Threads::Runs::RunStep::LastError)) }
             attr_reader :last_error
 
@@ -51,11 +51,11 @@ module OpenAI
             attr_writer :last_error
 
             # Set of 16 key-value pairs that can be attached to an object. This can be useful
-            #   for storing additional information about the object in a structured format, and
-            #   querying for objects via API or the dashboard.
+            # for storing additional information about the object in a structured format, and
+            # querying for objects via API or the dashboard.
             #
-            #   Keys are strings with a maximum length of 64 characters. Values are strings with
-            #   a maximum length of 512 characters.
+            # Keys are strings with a maximum length of 64 characters. Values are strings with
+            # a maximum length of 512 characters.
             sig { returns(T.nilable(T::Hash[Symbol, String])) }
             attr_accessor :metadata
 
@@ -64,12 +64,12 @@ module OpenAI
             attr_accessor :object
 
             # The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that
-            #   this run step is a part of.
+            # this run step is a part of.
             sig { returns(String) }
             attr_accessor :run_id
 
             # The status of the run step, which can be either `in_progress`, `cancelled`,
-            #   `failed`, `completed`, or `expired`.
+            # `failed`, `completed`, or `expired`.
             sig { returns(OpenAI::Models::Beta::Threads::Runs::RunStep::Status::TaggedSymbol) }
             attr_accessor :status
 
@@ -85,7 +85,7 @@ module OpenAI
             attr_accessor :step_details
 
             # The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
-            #   that was run.
+            # that was run.
             sig { returns(String) }
             attr_accessor :thread_id
 
@@ -94,7 +94,7 @@ module OpenAI
             attr_accessor :type
 
             # Usage statistics related to the run step. This value will be `null` while the
-            #   run step's status is `in_progress`.
+            # run step's status is `in_progress`.
             sig { returns(T.nilable(OpenAI::Models::Beta::Threads::Runs::RunStep::Usage)) }
             attr_reader :usage
 
@@ -188,7 +188,7 @@ module OpenAI
               attr_accessor :message
 
               # The last error associated with this run step. Will be `null` if there are no
-              #   errors.
+              # errors.
               sig do
                 params(code: OpenAI::Models::Beta::Threads::Runs::RunStep::LastError::Code::OrSymbol, message: String)
                   .returns(T.attached_class)
@@ -223,7 +223,7 @@ module OpenAI
             end
 
             # The status of the run step, which can be either `in_progress`, `cancelled`,
-            #   `failed`, `completed`, or `expired`.
+            # `failed`, `completed`, or `expired`.
             module Status
               extend OpenAI::Internal::Type::Enum
 
@@ -284,7 +284,7 @@ module OpenAI
               attr_accessor :total_tokens
 
               # Usage statistics related to the run step. This value will be `null` while the
-              #   run step's status is `in_progress`.
+              # run step's status is `in_progress`.
               sig do
                 params(
                   completion_tokens: Integer,
diff --git a/rbi/lib/openai/models/beta/threads/runs/run_step_delta_event.rbi b/rbi/lib/openai/models/beta/threads/runs/run_step_delta_event.rbi
index 4fb76535..e1124389 100644
--- a/rbi/lib/openai/models/beta/threads/runs/run_step_delta_event.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/run_step_delta_event.rbi
@@ -22,7 +22,7 @@ module OpenAI
             attr_accessor :object
 
             # Represents a run step delta i.e. any changed fields on a run step during
-            #   streaming.
+            # streaming.
             sig do
               params(
                 id: String,
diff --git a/rbi/lib/openai/models/beta/threads/runs/step_list_params.rbi b/rbi/lib/openai/models/beta/threads/runs/step_list_params.rbi
index d9609bca..abba06e2 100644
--- a/rbi/lib/openai/models/beta/threads/runs/step_list_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/step_list_params.rbi
@@ -13,9 +13,9 @@ module OpenAI
             attr_accessor :thread_id
 
             # A cursor for use in pagination. `after` is an object ID that defines your place
-            #   in the list. For instance, if you make a list request and receive 100 objects,
-            #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-            #   fetch the next page of the list.
+            # in the list. For instance, if you make a list request and receive 100 objects,
+            # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+            # fetch the next page of the list.
             sig { returns(T.nilable(String)) }
             attr_reader :after
 
@@ -23,9 +23,9 @@ module OpenAI
             attr_writer :after
 
             # A cursor for use in pagination. `before` is an object ID that defines your place
-            #   in the list. For instance, if you make a list request and receive 100 objects,
-            #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-            #   to fetch the previous page of the list.
+            # in the list. For instance, if you make a list request and receive 100 objects,
+            # starting with obj_foo, your subsequent call can include before=obj_foo in order
+            # to fetch the previous page of the list.
             sig { returns(T.nilable(String)) }
             attr_reader :before
 
@@ -33,12 +33,12 @@ module OpenAI
             attr_writer :before
 
             # A list of additional fields to include in the response. Currently the only
-            #   supported value is `step_details.tool_calls[*].file_search.results[*].content`
-            #   to fetch the file search result content.
+            # supported value is `step_details.tool_calls[*].file_search.results[*].content`
+            # to fetch the file search result content.
             #
-            #   See the
-            #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-            #   for more information.
+            # See the
+            # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+            # for more information.
             sig { returns(T.nilable(T::Array[OpenAI::Models::Beta::Threads::Runs::RunStepInclude::OrSymbol])) }
             attr_reader :include
 
@@ -46,7 +46,7 @@ module OpenAI
             attr_writer :include
 
             # A limit on the number of objects to be returned. Limit can range between 1 and
-            #   100, and the default is 20.
+            # 100, and the default is 20.
             sig { returns(T.nilable(Integer)) }
             attr_reader :limit
 
@@ -54,7 +54,7 @@ module OpenAI
             attr_writer :limit
 
             # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-            #   order and `desc` for descending order.
+            # order and `desc` for descending order.
             sig { returns(T.nilable(OpenAI::Models::Beta::Threads::Runs::StepListParams::Order::OrSymbol)) }
             attr_reader :order
 
@@ -101,7 +101,7 @@ module OpenAI
             def to_hash; end
 
             # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-            #   order and `desc` for descending order.
+            # order and `desc` for descending order.
             module Order
               extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/beta/threads/runs/step_retrieve_params.rbi b/rbi/lib/openai/models/beta/threads/runs/step_retrieve_params.rbi
index 827fe79e..c4b7c54d 100644
--- a/rbi/lib/openai/models/beta/threads/runs/step_retrieve_params.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/step_retrieve_params.rbi
@@ -16,12 +16,12 @@ module OpenAI
             attr_accessor :run_id
 
             # A list of additional fields to include in the response. Currently the only
-            #   supported value is `step_details.tool_calls[*].file_search.results[*].content`
-            #   to fetch the file search result content.
+            # supported value is `step_details.tool_calls[*].file_search.results[*].content`
+            # to fetch the file search result content.
             #
-            #   See the
-            #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-            #   for more information.
+            # See the
+            # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+            # for more information.
             sig { returns(T.nilable(T::Array[OpenAI::Models::Beta::Threads::Runs::RunStepInclude::OrSymbol])) }
             attr_reader :include
 
diff --git a/rbi/lib/openai/models/beta/threads/runs/tool_call_delta_object.rbi b/rbi/lib/openai/models/beta/threads/runs/tool_call_delta_object.rbi
index 9b96f0e3..796b549d 100644
--- a/rbi/lib/openai/models/beta/threads/runs/tool_call_delta_object.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/tool_call_delta_object.rbi
@@ -11,8 +11,8 @@ module OpenAI
             attr_accessor :type
 
             # An array of tool calls the run step was involved in. These can be associated
-            #   with one of three types of tools: `code_interpreter`, `file_search`, or
-            #   `function`.
+            # with one of three types of tools: `code_interpreter`, `file_search`, or
+            # `function`.
             sig do
               returns(
                 T.nilable(
diff --git a/rbi/lib/openai/models/beta/threads/runs/tool_calls_step_details.rbi b/rbi/lib/openai/models/beta/threads/runs/tool_calls_step_details.rbi
index 7eb65800..34fdc65c 100644
--- a/rbi/lib/openai/models/beta/threads/runs/tool_calls_step_details.rbi
+++ b/rbi/lib/openai/models/beta/threads/runs/tool_calls_step_details.rbi
@@ -7,8 +7,8 @@ module OpenAI
         module Runs
           class ToolCallsStepDetails < OpenAI::Internal::Type::BaseModel
             # An array of tool calls the run step was involved in. These can be associated
-            #   with one of three types of tools: `code_interpreter`, `file_search`, or
-            #   `function`.
+            # with one of three types of tools: `code_interpreter`, `file_search`, or
+            # `function`.
             sig do
               returns(
                 T::Array[
diff --git a/rbi/lib/openai/models/chat/chat_completion.rbi b/rbi/lib/openai/models/chat/chat_completion.rbi
index c871533c..e1e91dfc 100644
--- a/rbi/lib/openai/models/chat/chat_completion.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion.rbi
@@ -9,7 +9,7 @@ module OpenAI
         attr_accessor :id
 
         # A list of chat completion choices. Can be more than one if `n` is greater
-        #   than 1.
+        # than 1.
         sig { returns(T::Array[OpenAI::Models::Chat::ChatCompletion::Choice]) }
         attr_accessor :choices
 
@@ -31,8 +31,8 @@ module OpenAI
 
         # This fingerprint represents the backend configuration that the model runs with.
         #
-        #   Can be used in conjunction with the `seed` request parameter to understand when
-        #   backend changes have been made that might impact determinism.
+        # Can be used in conjunction with the `seed` request parameter to understand when
+        # backend changes have been made that might impact determinism.
         sig { returns(T.nilable(String)) }
         attr_reader :system_fingerprint
 
@@ -47,7 +47,7 @@ module OpenAI
         attr_writer :usage
 
         # Represents a chat completion response returned by model, based on the provided
-        #   input.
+        # input.
         sig do
           params(
             id: String,
@@ -90,11 +90,11 @@ module OpenAI
 
         class Choice < OpenAI::Internal::Type::BaseModel
           # The reason the model stopped generating tokens. This will be `stop` if the model
-          #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-          #   number of tokens specified in the request was reached, `content_filter` if
-          #   content was omitted due to a flag from our content filters, `tool_calls` if the
-          #   model called a tool, or `function_call` (deprecated) if the model called a
-          #   function.
+          # hit a natural stop point or a provided stop sequence, `length` if the maximum
+          # number of tokens specified in the request was reached, `content_filter` if
+          # content was omitted due to a flag from our content filters, `tool_calls` if the
+          # model called a tool, or `function_call` (deprecated) if the model called a
+          # function.
           sig { returns(OpenAI::Models::Chat::ChatCompletion::Choice::FinishReason::TaggedSymbol) }
           attr_accessor :finish_reason
 
@@ -146,11 +146,11 @@ module OpenAI
           def to_hash; end
 
           # The reason the model stopped generating tokens. This will be `stop` if the model
-          #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-          #   number of tokens specified in the request was reached, `content_filter` if
-          #   content was omitted due to a flag from our content filters, `tool_calls` if the
-          #   model called a tool, or `function_call` (deprecated) if the model called a
-          #   function.
+          # hit a natural stop point or a provided stop sequence, `length` if the maximum
+          # number of tokens specified in the request was reached, `content_filter` if
+          # content was omitted due to a flag from our content filters, `tool_calls` if the
+          # model called a tool, or `function_call` (deprecated) if the model called a
+          # function.
           module FinishReason
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_assistant_message_param.rbi b/rbi/lib/openai/models/chat/chat_completion_assistant_message_param.rbi
index 8da1d510..436f9a60 100644
--- a/rbi/lib/openai/models/chat/chat_completion_assistant_message_param.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_assistant_message_param.rbi
@@ -9,7 +9,7 @@ module OpenAI
         attr_accessor :role
 
         # Data about a previous audio response from the model.
-        #   [Learn more](https://platform.openai.com/docs/guides/audio).
+        # [Learn more](https://platform.openai.com/docs/guides/audio).
         sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionAssistantMessageParam::Audio)) }
         attr_reader :audio
 
@@ -24,7 +24,7 @@ module OpenAI
         attr_writer :audio
 
         # The contents of the assistant message. Required unless `tool_calls` or
-        #   `function_call` is specified.
+        # `function_call` is specified.
         sig do
           returns(
             T.nilable(
@@ -43,7 +43,7 @@ module OpenAI
         attr_accessor :content
 
         # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-        #   that should be called, as generated by the model.
+        # that should be called, as generated by the model.
         sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionAssistantMessageParam::FunctionCall)) }
         attr_reader :function_call
 
@@ -58,7 +58,7 @@ module OpenAI
         attr_writer :function_call
 
         # An optional name for the participant. Provides the model information to
-        #   differentiate between participants of the same role.
+        # differentiate between participants of the same role.
         sig { returns(T.nilable(String)) }
         attr_reader :name
 
@@ -152,7 +152,7 @@ module OpenAI
           attr_accessor :id
 
           # Data about a previous audio response from the model.
-          #   [Learn more](https://platform.openai.com/docs/guides/audio).
+          # [Learn more](https://platform.openai.com/docs/guides/audio).
           sig { params(id: String).returns(T.attached_class) }
           def self.new(id:); end
 
@@ -161,12 +161,12 @@ module OpenAI
         end
 
         # The contents of the assistant message. Required unless `tool_calls` or
-        #   `function_call` is specified.
+        # `function_call` is specified.
         module Content
           extend OpenAI::Internal::Type::Union
 
           # Learn about
-          #   [text inputs](https://platform.openai.com/docs/guides/text-generation).
+          # [text inputs](https://platform.openai.com/docs/guides/text-generation).
           module ArrayOfContentPart
             extend OpenAI::Internal::Type::Union
 
@@ -204,9 +204,9 @@ module OpenAI
 
         class FunctionCall < OpenAI::Internal::Type::BaseModel
           # The arguments to call the function with, as generated by the model in JSON
-          #   format. Note that the model does not always generate valid JSON, and may
-          #   hallucinate parameters not defined by your function schema. Validate the
-          #   arguments in your code before calling your function.
+          # format. Note that the model does not always generate valid JSON, and may
+          # hallucinate parameters not defined by your function schema. Validate the
+          # arguments in your code before calling your function.
           sig { returns(String) }
           attr_accessor :arguments
 
@@ -215,7 +215,7 @@ module OpenAI
           attr_accessor :name
 
           # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-          #   that should be called, as generated by the model.
+          # that should be called, as generated by the model.
           sig { params(arguments: String, name: String).returns(T.attached_class) }
           def self.new(arguments:, name:); end
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_audio.rbi b/rbi/lib/openai/models/chat/chat_completion_audio.rbi
index 66867567..77f2a8a9 100644
--- a/rbi/lib/openai/models/chat/chat_completion_audio.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_audio.rbi
@@ -9,12 +9,12 @@ module OpenAI
         attr_accessor :id
 
         # Base64 encoded audio bytes generated by the model, in the format specified in
-        #   the request.
+        # the request.
         sig { returns(String) }
         attr_accessor :data
 
         # The Unix timestamp (in seconds) for when this audio response will no longer be
-        #   accessible on the server for use in multi-turn conversations.
+        # accessible on the server for use in multi-turn conversations.
         sig { returns(Integer) }
         attr_accessor :expires_at
 
@@ -23,8 +23,8 @@ module OpenAI
         attr_accessor :transcript
 
         # If the audio output modality is requested, this object contains data about the
-        #   audio response from the model.
-        #   [Learn more](https://platform.openai.com/docs/guides/audio).
+        # audio response from the model.
+        # [Learn more](https://platform.openai.com/docs/guides/audio).
         sig do
           params(id: String, data: String, expires_at: Integer, transcript: String).returns(T.attached_class)
         end
diff --git a/rbi/lib/openai/models/chat/chat_completion_audio_param.rbi b/rbi/lib/openai/models/chat/chat_completion_audio_param.rbi
index e1aa3707..0755aab8 100644
--- a/rbi/lib/openai/models/chat/chat_completion_audio_param.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_audio_param.rbi
@@ -5,18 +5,18 @@ module OpenAI
     module Chat
       class ChatCompletionAudioParam < OpenAI::Internal::Type::BaseModel
         # Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`,
-        #   or `pcm16`.
+        # or `pcm16`.
         sig { returns(OpenAI::Models::Chat::ChatCompletionAudioParam::Format::OrSymbol) }
         attr_accessor :format_
 
         # The voice the model uses to respond. Supported voices are `alloy`, `ash`,
-        #   `ballad`, `coral`, `echo`, `sage`, and `shimmer`.
+        # `ballad`, `coral`, `echo`, `sage`, and `shimmer`.
         sig { returns(T.any(String, OpenAI::Models::Chat::ChatCompletionAudioParam::Voice::OrSymbol)) }
         attr_accessor :voice
 
         # Parameters for audio output. Required when audio output is requested with
-        #   `modalities: ["audio"]`.
-        #   [Learn more](https://platform.openai.com/docs/guides/audio).
+        # `modalities: ["audio"]`.
+        # [Learn more](https://platform.openai.com/docs/guides/audio).
         sig do
           params(
             format_: OpenAI::Models::Chat::ChatCompletionAudioParam::Format::OrSymbol,
@@ -38,7 +38,7 @@ module OpenAI
         def to_hash; end
 
         # Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`,
-        #   or `pcm16`.
+        # or `pcm16`.
         module Format
           extend OpenAI::Internal::Type::Enum
 
@@ -57,7 +57,7 @@ module OpenAI
         end
 
         # The voice the model uses to respond. Supported voices are `alloy`, `ash`,
-        #   `ballad`, `coral`, `echo`, `sage`, and `shimmer`.
+        # `ballad`, `coral`, `echo`, `sage`, and `shimmer`.
         module Voice
           extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_chunk.rbi b/rbi/lib/openai/models/chat/chat_completion_chunk.rbi
index f8eb2225..a7aaf04d 100644
--- a/rbi/lib/openai/models/chat/chat_completion_chunk.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_chunk.rbi
@@ -9,13 +9,13 @@ module OpenAI
         attr_accessor :id
 
         # A list of chat completion choices. Can contain more than one elements if `n` is
-        #   greater than 1. Can also be empty for the last chunk if you set
-        #   `stream_options: {"include_usage": true}`.
+        # greater than 1. Can also be empty for the last chunk if you set
+        # `stream_options: {"include_usage": true}`.
         sig { returns(T::Array[OpenAI::Models::Chat::ChatCompletionChunk::Choice]) }
         attr_accessor :choices
 
         # The Unix timestamp (in seconds) of when the chat completion was created. Each
-        #   chunk has the same timestamp.
+        # chunk has the same timestamp.
         sig { returns(Integer) }
         attr_accessor :created
 
@@ -32,8 +32,8 @@ module OpenAI
         attr_accessor :service_tier
 
         # This fingerprint represents the backend configuration that the model runs with.
-        #   Can be used in conjunction with the `seed` request parameter to understand when
-        #   backend changes have been made that might impact determinism.
+        # Can be used in conjunction with the `seed` request parameter to understand when
+        # backend changes have been made that might impact determinism.
         sig { returns(T.nilable(String)) }
         attr_reader :system_fingerprint
 
@@ -41,12 +41,12 @@ module OpenAI
         attr_writer :system_fingerprint
 
         # An optional field that will only be present when you set
-        #   `stream_options: {"include_usage": true}` in your request. When present, it
-        #   contains a null value **except for the last chunk** which contains the token
-        #   usage statistics for the entire request.
+        # `stream_options: {"include_usage": true}` in your request. When present, it
+        # contains a null value **except for the last chunk** which contains the token
+        # usage statistics for the entire request.
         #
-        #   **NOTE:** If the stream is interrupted or cancelled, you may not receive the
-        #   final usage chunk which contains the total token usage for the request.
+        # **NOTE:** If the stream is interrupted or cancelled, you may not receive the
+        # final usage chunk which contains the total token usage for the request.
         sig { returns(T.nilable(OpenAI::Models::CompletionUsage)) }
         attr_reader :usage
 
@@ -54,8 +54,8 @@ module OpenAI
         attr_writer :usage
 
         # Represents a streamed chunk of a chat completion response returned by the model,
-        #   based on the provided input.
-        #   [Learn more](https://platform.openai.com/docs/guides/streaming-responses).
+        # based on the provided input.
+        # [Learn more](https://platform.openai.com/docs/guides/streaming-responses).
         sig do
           params(
             id: String,
@@ -108,11 +108,11 @@ module OpenAI
           attr_writer :delta
 
           # The reason the model stopped generating tokens. This will be `stop` if the model
-          #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-          #   number of tokens specified in the request was reached, `content_filter` if
-          #   content was omitted due to a flag from our content filters, `tool_calls` if the
-          #   model called a tool, or `function_call` (deprecated) if the model called a
-          #   function.
+          # hit a natural stop point or a provided stop sequence, `length` if the maximum
+          # number of tokens specified in the request was reached, `content_filter` if
+          # content was omitted due to a flag from our content filters, `tool_calls` if the
+          # model called a tool, or `function_call` (deprecated) if the model called a
+          # function.
           sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionChunk::Choice::FinishReason::TaggedSymbol)) }
           attr_accessor :finish_reason
 
@@ -162,7 +162,7 @@ module OpenAI
             attr_accessor :content
 
             # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-            #   that should be called, as generated by the model.
+            # that should be called, as generated by the model.
             sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionChunk::Choice::Delta::FunctionCall)) }
             attr_reader :function_call
 
@@ -225,9 +225,9 @@ module OpenAI
 
             class FunctionCall < OpenAI::Internal::Type::BaseModel
               # The arguments to call the function with, as generated by the model in JSON
-              #   format. Note that the model does not always generate valid JSON, and may
-              #   hallucinate parameters not defined by your function schema. Validate the
-              #   arguments in your code before calling your function.
+              # format. Note that the model does not always generate valid JSON, and may
+              # hallucinate parameters not defined by your function schema. Validate the
+              # arguments in your code before calling your function.
               sig { returns(T.nilable(String)) }
               attr_reader :arguments
 
@@ -242,7 +242,7 @@ module OpenAI
               attr_writer :name
 
               # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-              #   that should be called, as generated by the model.
+              # that should be called, as generated by the model.
               sig { params(arguments: String, name: String).returns(T.attached_class) }
               def self.new(arguments: nil, name: nil); end
 
@@ -332,9 +332,9 @@ module OpenAI
 
               class Function < OpenAI::Internal::Type::BaseModel
                 # The arguments to call the function with, as generated by the model in JSON
-                #   format. Note that the model does not always generate valid JSON, and may
-                #   hallucinate parameters not defined by your function schema. Validate the
-                #   arguments in your code before calling your function.
+                # format. Note that the model does not always generate valid JSON, and may
+                # hallucinate parameters not defined by your function schema. Validate the
+                # arguments in your code before calling your function.
                 sig { returns(T.nilable(String)) }
                 attr_reader :arguments
 
@@ -383,11 +383,11 @@ module OpenAI
           end
 
           # The reason the model stopped generating tokens. This will be `stop` if the model
-          #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-          #   number of tokens specified in the request was reached, `content_filter` if
-          #   content was omitted due to a flag from our content filters, `tool_calls` if the
-          #   model called a tool, or `function_call` (deprecated) if the model called a
-          #   function.
+          # hit a natural stop point or a provided stop sequence, `length` if the maximum
+          # number of tokens specified in the request was reached, `content_filter` if
+          # content was omitted due to a flag from our content filters, `tool_calls` if the
+          # model called a tool, or `function_call` (deprecated) if the model called a
+          # function.
           module FinishReason
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_content_part.rbi b/rbi/lib/openai/models/chat/chat_completion_content_part.rbi
index 3f40e799..ba9fd403 100644
--- a/rbi/lib/openai/models/chat/chat_completion_content_part.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_content_part.rbi
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     module Chat
       # Learn about
-      #   [text inputs](https://platform.openai.com/docs/guides/text-generation).
+      # [text inputs](https://platform.openai.com/docs/guides/text-generation).
       module ChatCompletionContentPart
         extend OpenAI::Internal::Type::Union
 
@@ -25,7 +25,7 @@ module OpenAI
           attr_accessor :type
 
           # Learn about [file inputs](https://platform.openai.com/docs/guides/text) for text
-          #   generation.
+          # generation.
           sig do
             params(
               file: T.any(OpenAI::Models::Chat::ChatCompletionContentPart::File::File, OpenAI::Internal::AnyHash),
@@ -40,7 +40,7 @@ module OpenAI
 
           class File < OpenAI::Internal::Type::BaseModel
             # The base64 encoded file data, used when passing the file to the model as a
-            #   string.
+            # string.
             sig { returns(T.nilable(String)) }
             attr_reader :file_data
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_content_part_image.rbi b/rbi/lib/openai/models/chat/chat_completion_content_part_image.rbi
index 8f1d2dba..e7e3a922 100644
--- a/rbi/lib/openai/models/chat/chat_completion_content_part_image.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_content_part_image.rbi
@@ -40,7 +40,7 @@ module OpenAI
           attr_accessor :url
 
           # Specifies the detail level of the image. Learn more in the
-          #   [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
+          # [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
           sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionContentPartImage::ImageURL::Detail::OrSymbol)) }
           attr_reader :detail
 
@@ -65,7 +65,7 @@ module OpenAI
           def to_hash; end
 
           # Specifies the detail level of the image. Learn more in the
-          #   [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
+          # [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
           module Detail
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_content_part_text.rbi b/rbi/lib/openai/models/chat/chat_completion_content_part_text.rbi
index e2fea7d5..ee4dcfaf 100644
--- a/rbi/lib/openai/models/chat/chat_completion_content_part_text.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_content_part_text.rbi
@@ -13,7 +13,7 @@ module OpenAI
         attr_accessor :type
 
         # Learn about
-        #   [text inputs](https://platform.openai.com/docs/guides/text-generation).
+        # [text inputs](https://platform.openai.com/docs/guides/text-generation).
         sig { params(text: String, type: Symbol).returns(T.attached_class) }
         def self.new(text:, type: :text); end
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_developer_message_param.rbi b/rbi/lib/openai/models/chat/chat_completion_developer_message_param.rbi
index d5eeea91..6e56c125 100644
--- a/rbi/lib/openai/models/chat/chat_completion_developer_message_param.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_developer_message_param.rbi
@@ -13,7 +13,7 @@ module OpenAI
         attr_accessor :role
 
         # An optional name for the participant. Provides the model information to
-        #   differentiate between participants of the same role.
+        # differentiate between participants of the same role.
         sig { returns(T.nilable(String)) }
         attr_reader :name
 
@@ -21,8 +21,8 @@ module OpenAI
         attr_writer :name
 
         # Developer-provided instructions that the model should follow, regardless of
-        #   messages sent by the user. With o1 models and newer, `developer` messages
-        #   replace the previous `system` messages.
+        # messages sent by the user. With o1 models and newer, `developer` messages
+        # replace the previous `system` messages.
         sig do
           params(
             content: T.any(
diff --git a/rbi/lib/openai/models/chat/chat_completion_function_call_option.rbi b/rbi/lib/openai/models/chat/chat_completion_function_call_option.rbi
index d63a2e1c..5dcea933 100644
--- a/rbi/lib/openai/models/chat/chat_completion_function_call_option.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_function_call_option.rbi
@@ -9,7 +9,7 @@ module OpenAI
         attr_accessor :name
 
         # Specifying a particular function via `{"name": "my_function"}` forces the model
-        #   to call that function.
+        # to call that function.
         sig { params(name: String).returns(T.attached_class) }
         def self.new(name:); end
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_message.rbi b/rbi/lib/openai/models/chat/chat_completion_message.rbi
index 6c785895..f70217f5 100644
--- a/rbi/lib/openai/models/chat/chat_completion_message.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_message.rbi
@@ -17,7 +17,7 @@ module OpenAI
         attr_accessor :role
 
         # Annotations for the message, when applicable, as when using the
-        #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+        # [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
         sig { returns(T.nilable(T::Array[OpenAI::Models::Chat::ChatCompletionMessage::Annotation])) }
         attr_reader :annotations
 
@@ -30,8 +30,8 @@ module OpenAI
         attr_writer :annotations
 
         # If the audio output modality is requested, this object contains data about the
-        #   audio response from the model.
-        #   [Learn more](https://platform.openai.com/docs/guides/audio).
+        # audio response from the model.
+        # [Learn more](https://platform.openai.com/docs/guides/audio).
         sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionAudio)) }
         attr_reader :audio
 
@@ -39,7 +39,7 @@ module OpenAI
         attr_writer :audio
 
         # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-        #   that should be called, as generated by the model.
+        # that should be called, as generated by the model.
         sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionMessage::FunctionCall)) }
         attr_reader :function_call
 
@@ -173,9 +173,9 @@ module OpenAI
 
         class FunctionCall < OpenAI::Internal::Type::BaseModel
           # The arguments to call the function with, as generated by the model in JSON
-          #   format. Note that the model does not always generate valid JSON, and may
-          #   hallucinate parameters not defined by your function schema. Validate the
-          #   arguments in your code before calling your function.
+          # format. Note that the model does not always generate valid JSON, and may
+          # hallucinate parameters not defined by your function schema. Validate the
+          # arguments in your code before calling your function.
           sig { returns(String) }
           attr_accessor :arguments
 
@@ -184,7 +184,7 @@ module OpenAI
           attr_accessor :name
 
           # Deprecated and replaced by `tool_calls`. The name and arguments of a function
-          #   that should be called, as generated by the model.
+          # that should be called, as generated by the model.
           sig { params(arguments: String, name: String).returns(T.attached_class) }
           def self.new(arguments:, name:); end
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_message_param.rbi b/rbi/lib/openai/models/chat/chat_completion_message_param.rbi
index 6cf5ae54..4c9296f5 100644
--- a/rbi/lib/openai/models/chat/chat_completion_message_param.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_message_param.rbi
@@ -4,8 +4,8 @@ module OpenAI
   module Models
     module Chat
       # Developer-provided instructions that the model should follow, regardless of
-      #   messages sent by the user. With o1 models and newer, `developer` messages
-      #   replace the previous `system` messages.
+      # messages sent by the user. With o1 models and newer, `developer` messages
+      # replace the previous `system` messages.
       module ChatCompletionMessageParam
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_message_tool_call.rbi b/rbi/lib/openai/models/chat/chat_completion_message_tool_call.rbi
index b4bfcbdd..85b1dc6e 100644
--- a/rbi/lib/openai/models/chat/chat_completion_message_tool_call.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_message_tool_call.rbi
@@ -44,9 +44,9 @@ module OpenAI
 
         class Function < OpenAI::Internal::Type::BaseModel
           # The arguments to call the function with, as generated by the model in JSON
-          #   format. Note that the model does not always generate valid JSON, and may
-          #   hallucinate parameters not defined by your function schema. Validate the
-          #   arguments in your code before calling your function.
+          # format. Note that the model does not always generate valid JSON, and may
+          # hallucinate parameters not defined by your function schema. Validate the
+          # arguments in your code before calling your function.
           sig { returns(String) }
           attr_accessor :arguments
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_named_tool_choice.rbi b/rbi/lib/openai/models/chat/chat_completion_named_tool_choice.rbi
index be71706f..041eea0a 100644
--- a/rbi/lib/openai/models/chat/chat_completion_named_tool_choice.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_named_tool_choice.rbi
@@ -20,7 +20,7 @@ module OpenAI
         attr_accessor :type
 
         # Specifies a tool the model should use. Use to force the model to call a specific
-        #   function.
+        # function.
         sig do
           params(
             function: T.any(OpenAI::Models::Chat::ChatCompletionNamedToolChoice::Function, OpenAI::Internal::AnyHash),
diff --git a/rbi/lib/openai/models/chat/chat_completion_prediction_content.rbi b/rbi/lib/openai/models/chat/chat_completion_prediction_content.rbi
index c6f72148..a993e33a 100644
--- a/rbi/lib/openai/models/chat/chat_completion_prediction_content.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_prediction_content.rbi
@@ -5,18 +5,18 @@ module OpenAI
     module Chat
       class ChatCompletionPredictionContent < OpenAI::Internal::Type::BaseModel
         # The content that should be matched when generating a model response. If
-        #   generated tokens would match this content, the entire model response can be
-        #   returned much more quickly.
+        # generated tokens would match this content, the entire model response can be
+        # returned much more quickly.
         sig { returns(T.any(String, T::Array[OpenAI::Models::Chat::ChatCompletionContentPartText])) }
         attr_accessor :content
 
         # The type of the predicted content you want to provide. This type is currently
-        #   always `content`.
+        # always `content`.
         sig { returns(Symbol) }
         attr_accessor :type
 
         # Static predicted output content, such as the content of a text file that is
-        #   being regenerated.
+        # being regenerated.
         sig do
           params(
             content: T.any(
@@ -38,8 +38,8 @@ module OpenAI
         def to_hash; end
 
         # The content that should be matched when generating a model response. If
-        #   generated tokens would match this content, the entire model response can be
-        #   returned much more quickly.
+        # generated tokens would match this content, the entire model response can be
+        # returned much more quickly.
         module Content
           extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_stream_options.rbi b/rbi/lib/openai/models/chat/chat_completion_stream_options.rbi
index 51d36cd9..771ab84e 100644
--- a/rbi/lib/openai/models/chat/chat_completion_stream_options.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_stream_options.rbi
@@ -5,12 +5,12 @@ module OpenAI
     module Chat
       class ChatCompletionStreamOptions < OpenAI::Internal::Type::BaseModel
         # If set, an additional chunk will be streamed before the `data: [DONE]` message.
-        #   The `usage` field on this chunk shows the token usage statistics for the entire
-        #   request, and the `choices` field will always be an empty array.
+        # The `usage` field on this chunk shows the token usage statistics for the entire
+        # request, and the `choices` field will always be an empty array.
         #
-        #   All other chunks will also include a `usage` field, but with a null value.
-        #   **NOTE:** If the stream is interrupted, you may not receive the final usage
-        #   chunk which contains the total token usage for the request.
+        # All other chunks will also include a `usage` field, but with a null value.
+        # **NOTE:** If the stream is interrupted, you may not receive the final usage
+        # chunk which contains the total token usage for the request.
         sig { returns(T.nilable(T::Boolean)) }
         attr_reader :include_usage
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_system_message_param.rbi b/rbi/lib/openai/models/chat/chat_completion_system_message_param.rbi
index 44c63247..b21a46af 100644
--- a/rbi/lib/openai/models/chat/chat_completion_system_message_param.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_system_message_param.rbi
@@ -13,7 +13,7 @@ module OpenAI
         attr_accessor :role
 
         # An optional name for the participant. Provides the model information to
-        #   differentiate between participants of the same role.
+        # differentiate between participants of the same role.
         sig { returns(T.nilable(String)) }
         attr_reader :name
 
@@ -21,8 +21,8 @@ module OpenAI
         attr_writer :name
 
         # Developer-provided instructions that the model should follow, regardless of
-        #   messages sent by the user. With o1 models and newer, use `developer` messages
-        #   for this purpose instead.
+        # messages sent by the user. With o1 models and newer, use `developer` messages
+        # for this purpose instead.
         sig do
           params(
             content: T.any(
diff --git a/rbi/lib/openai/models/chat/chat_completion_token_logprob.rbi b/rbi/lib/openai/models/chat/chat_completion_token_logprob.rbi
index 4763d686..0f4594a5 100644
--- a/rbi/lib/openai/models/chat/chat_completion_token_logprob.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_token_logprob.rbi
@@ -9,21 +9,21 @@ module OpenAI
         attr_accessor :token
 
         # A list of integers representing the UTF-8 bytes representation of the token.
-        #   Useful in instances where characters are represented by multiple tokens and
-        #   their byte representations must be combined to generate the correct text
-        #   representation. Can be `null` if there is no bytes representation for the token.
+        # Useful in instances where characters are represented by multiple tokens and
+        # their byte representations must be combined to generate the correct text
+        # representation. Can be `null` if there is no bytes representation for the token.
         sig { returns(T.nilable(T::Array[Integer])) }
         attr_accessor :bytes
 
         # The log probability of this token, if it is within the top 20 most likely
-        #   tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
-        #   unlikely.
+        # tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
+        # unlikely.
         sig { returns(Float) }
         attr_accessor :logprob
 
         # List of the most likely tokens and their log probability, at this token
-        #   position. In rare cases, there may be fewer than the number of requested
-        #   `top_logprobs` returned.
+        # position. In rare cases, there may be fewer than the number of requested
+        # `top_logprobs` returned.
         sig { returns(T::Array[OpenAI::Models::Chat::ChatCompletionTokenLogprob::TopLogprob]) }
         attr_accessor :top_logprobs
 
@@ -57,15 +57,15 @@ module OpenAI
           attr_accessor :token
 
           # A list of integers representing the UTF-8 bytes representation of the token.
-          #   Useful in instances where characters are represented by multiple tokens and
-          #   their byte representations must be combined to generate the correct text
-          #   representation. Can be `null` if there is no bytes representation for the token.
+          # Useful in instances where characters are represented by multiple tokens and
+          # their byte representations must be combined to generate the correct text
+          # representation. Can be `null` if there is no bytes representation for the token.
           sig { returns(T.nilable(T::Array[Integer])) }
           attr_accessor :bytes
 
           # The log probability of this token, if it is within the top 20 most likely
-          #   tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
-          #   unlikely.
+          # tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
+          # unlikely.
           sig { returns(Float) }
           attr_accessor :logprob
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_tool_choice_option.rbi b/rbi/lib/openai/models/chat/chat_completion_tool_choice_option.rbi
index a840bdf9..b7979106 100644
--- a/rbi/lib/openai/models/chat/chat_completion_tool_choice_option.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_tool_choice_option.rbi
@@ -4,20 +4,20 @@ module OpenAI
   module Models
     module Chat
       # Controls which (if any) tool is called by the model. `none` means the model will
-      #   not call any tool and instead generates a message. `auto` means the model can
-      #   pick between generating a message or calling one or more tools. `required` means
-      #   the model must call one or more tools. Specifying a particular tool via
-      #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-      #   call that tool.
+      # not call any tool and instead generates a message. `auto` means the model can
+      # pick between generating a message or calling one or more tools. `required` means
+      # the model must call one or more tools. Specifying a particular tool via
+      # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+      # call that tool.
       #
-      #   `none` is the default when no tools are present. `auto` is the default if tools
-      #   are present.
+      # `none` is the default when no tools are present. `auto` is the default if tools
+      # are present.
       module ChatCompletionToolChoiceOption
         extend OpenAI::Internal::Type::Union
 
         # `none` means the model will not call any tool and instead generates a message.
-        #   `auto` means the model can pick between generating a message or calling one or
-        #   more tools. `required` means the model must call one or more tools.
+        # `auto` means the model can pick between generating a message or calling one or
+        # more tools. `required` means the model must call one or more tools.
         module Auto
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/chat/chat_completion_user_message_param.rbi b/rbi/lib/openai/models/chat/chat_completion_user_message_param.rbi
index 312f7dfb..24c806a5 100644
--- a/rbi/lib/openai/models/chat/chat_completion_user_message_param.rbi
+++ b/rbi/lib/openai/models/chat/chat_completion_user_message_param.rbi
@@ -27,7 +27,7 @@ module OpenAI
         attr_accessor :role
 
         # An optional name for the participant. Provides the model information to
-        #   differentiate between participants of the same role.
+        # differentiate between participants of the same role.
         sig { returns(T.nilable(String)) }
         attr_reader :name
 
@@ -35,7 +35,7 @@ module OpenAI
         attr_writer :name
 
         # Messages sent by an end user, containing prompts or additional context
-        #   information.
+        # information.
         sig do
           params(
             content: T.any(
diff --git a/rbi/lib/openai/models/chat/completion_create_params.rbi b/rbi/lib/openai/models/chat/completion_create_params.rbi
index 0afa33d1..c284fa11 100644
--- a/rbi/lib/openai/models/chat/completion_create_params.rbi
+++ b/rbi/lib/openai/models/chat/completion_create_params.rbi
@@ -8,11 +8,11 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # A list of messages comprising the conversation so far. Depending on the
-        #   [model](https://platform.openai.com/docs/models) you use, different message
-        #   types (modalities) are supported, like
-        #   [text](https://platform.openai.com/docs/guides/text-generation),
-        #   [images](https://platform.openai.com/docs/guides/vision), and
-        #   [audio](https://platform.openai.com/docs/guides/audio).
+        # [model](https://platform.openai.com/docs/models) you use, different message
+        # types (modalities) are supported, like
+        # [text](https://platform.openai.com/docs/guides/text-generation),
+        # [images](https://platform.openai.com/docs/guides/vision), and
+        # [audio](https://platform.openai.com/docs/guides/audio).
         sig do
           returns(
             T::Array[
@@ -30,16 +30,16 @@ module OpenAI
         attr_accessor :messages
 
         # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #   wide range of models with different capabilities, performance characteristics,
-        #   and price points. Refer to the
-        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #   available models.
+        # wide range of models with different capabilities, performance characteristics,
+        # and price points. Refer to the
+        # [model guide](https://platform.openai.com/docs/models) to browse and compare
+        # available models.
         sig { returns(T.any(String, OpenAI::Models::ChatModel::OrSymbol)) }
         attr_accessor :model
 
         # Parameters for audio output. Required when audio output is requested with
-        #   `modalities: ["audio"]`.
-        #   [Learn more](https://platform.openai.com/docs/guides/audio).
+        # `modalities: ["audio"]`.
+        # [Learn more](https://platform.openai.com/docs/guides/audio).
         sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionAudioParam)) }
         attr_reader :audio
 
@@ -50,25 +50,25 @@ module OpenAI
         attr_writer :audio
 
         # Number between -2.0 and 2.0. Positive values penalize new tokens based on their
-        #   existing frequency in the text so far, decreasing the model's likelihood to
-        #   repeat the same line verbatim.
+        # existing frequency in the text so far, decreasing the model's likelihood to
+        # repeat the same line verbatim.
         sig { returns(T.nilable(Float)) }
         attr_accessor :frequency_penalty
 
         # Deprecated in favor of `tool_choice`.
         #
-        #   Controls which (if any) function is called by the model.
+        # Controls which (if any) function is called by the model.
         #
-        #   `none` means the model will not call a function and instead generates a message.
+        # `none` means the model will not call a function and instead generates a message.
         #
-        #   `auto` means the model can pick between generating a message or calling a
-        #   function.
+        # `auto` means the model can pick between generating a message or calling a
+        # function.
         #
-        #   Specifying a particular function via `{"name": "my_function"}` forces the model
-        #   to call that function.
+        # Specifying a particular function via `{"name": "my_function"}` forces the model
+        # to call that function.
         #
-        #   `none` is the default when no functions are present. `auto` is the default if
-        #   functions are present.
+        # `none` is the default when no functions are present. `auto` is the default if
+        # functions are present.
         sig do
           returns(
             T.nilable(
@@ -95,7 +95,7 @@ module OpenAI
 
         # Deprecated in favor of `tools`.
         #
-        #   A list of functions the model may generate JSON inputs for.
+        # A list of functions the model may generate JSON inputs for.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Chat::CompletionCreateParams::Function])) }
         attr_reader :functions
 
@@ -109,68 +109,68 @@ module OpenAI
 
         # Modify the likelihood of specified tokens appearing in the completion.
         #
-        #   Accepts a JSON object that maps tokens (specified by their token ID in the
-        #   tokenizer) to an associated bias value from -100 to 100. Mathematically, the
-        #   bias is added to the logits generated by the model prior to sampling. The exact
-        #   effect will vary per model, but values between -1 and 1 should decrease or
-        #   increase likelihood of selection; values like -100 or 100 should result in a ban
-        #   or exclusive selection of the relevant token.
+        # Accepts a JSON object that maps tokens (specified by their token ID in the
+        # tokenizer) to an associated bias value from -100 to 100. Mathematically, the
+        # bias is added to the logits generated by the model prior to sampling. The exact
+        # effect will vary per model, but values between -1 and 1 should decrease or
+        # increase likelihood of selection; values like -100 or 100 should result in a ban
+        # or exclusive selection of the relevant token.
         sig { returns(T.nilable(T::Hash[Symbol, Integer])) }
         attr_accessor :logit_bias
 
         # Whether to return log probabilities of the output tokens or not. If true,
-        #   returns the log probabilities of each output token returned in the `content` of
-        #   `message`.
+        # returns the log probabilities of each output token returned in the `content` of
+        # `message`.
         sig { returns(T.nilable(T::Boolean)) }
         attr_accessor :logprobs
 
         # An upper bound for the number of tokens that can be generated for a completion,
-        #   including visible output tokens and
-        #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+        # including visible output tokens and
+        # [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
         sig { returns(T.nilable(Integer)) }
         attr_accessor :max_completion_tokens
 
         # The maximum number of [tokens](/tokenizer) that can be generated in the chat
-        #   completion. This value can be used to control
-        #   [costs](https://openai.com/api/pricing/) for text generated via API.
+        # completion. This value can be used to control
+        # [costs](https://openai.com/api/pricing/) for text generated via API.
         #
-        #   This value is now deprecated in favor of `max_completion_tokens`, and is not
-        #   compatible with
-        #   [o1 series models](https://platform.openai.com/docs/guides/reasoning).
+        # This value is now deprecated in favor of `max_completion_tokens`, and is not
+        # compatible with
+        # [o1 series models](https://platform.openai.com/docs/guides/reasoning).
         sig { returns(T.nilable(Integer)) }
         attr_accessor :max_tokens
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
         # Output types that you would like the model to generate. Most models are capable
-        #   of generating text, which is the default:
+        # of generating text, which is the default:
         #
-        #   `["text"]`
+        # `["text"]`
         #
-        #   The `gpt-4o-audio-preview` model can also be used to
-        #   [generate audio](https://platform.openai.com/docs/guides/audio). To request that
-        #   this model generate both text and audio responses, you can use:
+        # The `gpt-4o-audio-preview` model can also be used to
+        # [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+        # this model generate both text and audio responses, you can use:
         #
-        #   `["text", "audio"]`
+        # `["text", "audio"]`
         sig { returns(T.nilable(T::Array[OpenAI::Models::Chat::CompletionCreateParams::Modality::OrSymbol])) }
         attr_accessor :modalities
 
         # How many chat completion choices to generate for each input message. Note that
-        #   you will be charged based on the number of generated tokens across all of the
-        #   choices. Keep `n` as `1` to minimize costs.
+        # you will be charged based on the number of generated tokens across all of the
+        # choices. Keep `n` as `1` to minimize costs.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :n
 
         # Whether to enable
-        #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-        #   during tool use.
+        # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+        # during tool use.
         sig { returns(T.nilable(T::Boolean)) }
         attr_reader :parallel_tool_calls
 
@@ -178,7 +178,7 @@ module OpenAI
         attr_writer :parallel_tool_calls
 
         # Static predicted output content, such as the content of a text file that is
-        #   being regenerated.
+        # being regenerated.
         sig { returns(T.nilable(OpenAI::Models::Chat::ChatCompletionPredictionContent)) }
         attr_reader :prediction
 
@@ -191,30 +191,30 @@ module OpenAI
         attr_writer :prediction
 
         # Number between -2.0 and 2.0. Positive values penalize new tokens based on
-        #   whether they appear in the text so far, increasing the model's likelihood to
-        #   talk about new topics.
+        # whether they appear in the text so far, increasing the model's likelihood to
+        # talk about new topics.
         sig { returns(T.nilable(Float)) }
         attr_accessor :presence_penalty
 
         # **o-series models only**
         #
-        #   Constrains effort on reasoning for
-        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-        #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-        #   result in faster responses and fewer tokens used on reasoning in a response.
+        # Constrains effort on reasoning for
+        # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+        # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+        # result in faster responses and fewer tokens used on reasoning in a response.
         sig { returns(T.nilable(OpenAI::Models::ReasoningEffort::OrSymbol)) }
         attr_accessor :reasoning_effort
 
         # An object specifying the format that the model must output.
         #
-        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #   in the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        # Outputs which ensures the model will match your supplied JSON schema. Learn more
+        # in the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-        #   ensures the message the model generates is valid JSON. Using `json_schema` is
-        #   preferred for models that support it.
+        # Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+        # ensures the message the model generates is valid JSON. Using `json_schema` is
+        # preferred for models that support it.
         sig do
           returns(
             T.nilable(
@@ -242,38 +242,38 @@ module OpenAI
         attr_writer :response_format
 
         # This feature is in Beta. If specified, our system will make a best effort to
-        #   sample deterministically, such that repeated requests with the same `seed` and
-        #   parameters should return the same result. Determinism is not guaranteed, and you
-        #   should refer to the `system_fingerprint` response parameter to monitor changes
-        #   in the backend.
+        # sample deterministically, such that repeated requests with the same `seed` and
+        # parameters should return the same result. Determinism is not guaranteed, and you
+        # should refer to the `system_fingerprint` response parameter to monitor changes
+        # in the backend.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :seed
 
         # Specifies the latency tier to use for processing the request. This parameter is
-        #   relevant for customers subscribed to the scale tier service:
+        # relevant for customers subscribed to the scale tier service:
         #
-        #   - If set to 'auto', and the Project is Scale tier enabled, the system will
-        #     utilize scale tier credits until they are exhausted.
-        #   - If set to 'auto', and the Project is not Scale tier enabled, the request will
-        #     be processed using the default service tier with a lower uptime SLA and no
-        #     latency guarentee.
-        #   - If set to 'default', the request will be processed using the default service
-        #     tier with a lower uptime SLA and no latency guarentee.
-        #   - When not set, the default behavior is 'auto'.
+        # - If set to 'auto', and the Project is Scale tier enabled, the system will
+        #   utilize scale tier credits until they are exhausted.
+        # - If set to 'auto', and the Project is not Scale tier enabled, the request will
+        #   be processed using the default service tier with a lower uptime SLA and no
+        #   latency guarentee.
+        # - If set to 'default', the request will be processed using the default service
+        #   tier with a lower uptime SLA and no latency guarentee.
+        # - When not set, the default behavior is 'auto'.
         #
-        #   When this parameter is set, the response body will include the `service_tier`
-        #   utilized.
+        # When this parameter is set, the response body will include the `service_tier`
+        # utilized.
         sig { returns(T.nilable(OpenAI::Models::Chat::CompletionCreateParams::ServiceTier::OrSymbol)) }
         attr_accessor :service_tier
 
         # Up to 4 sequences where the API will stop generating further tokens. The
-        #   returned text will not contain the stop sequence.
+        # returned text will not contain the stop sequence.
         sig { returns(T.nilable(T.any(String, T::Array[String]))) }
         attr_accessor :stop
 
         # Whether or not to store the output of this chat completion request for use in
-        #   our [model distillation](https://platform.openai.com/docs/guides/distillation)
-        #   or [evals](https://platform.openai.com/docs/guides/evals) products.
+        # our [model distillation](https://platform.openai.com/docs/guides/distillation)
+        # or [evals](https://platform.openai.com/docs/guides/evals) products.
         sig { returns(T.nilable(T::Boolean)) }
         attr_accessor :store
 
@@ -290,21 +290,21 @@ module OpenAI
         attr_writer :stream_options
 
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic. We generally recommend altering this or `top_p` but
-        #   not both.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic. We generally recommend altering this or `top_p` but
+        # not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :temperature
 
         # Controls which (if any) tool is called by the model. `none` means the model will
-        #   not call any tool and instead generates a message. `auto` means the model can
-        #   pick between generating a message or calling one or more tools. `required` means
-        #   the model must call one or more tools. Specifying a particular tool via
-        #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-        #   call that tool.
+        # not call any tool and instead generates a message. `auto` means the model can
+        # pick between generating a message or calling one or more tools. `required` means
+        # the model must call one or more tools. Specifying a particular tool via
+        # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+        # call that tool.
         #
-        #   `none` is the default when no tools are present. `auto` is the default if tools
-        #   are present.
+        # `none` is the default when no tools are present. `auto` is the default if tools
+        # are present.
         sig do
           returns(
             T.nilable(
@@ -330,8 +330,8 @@ module OpenAI
         attr_writer :tool_choice
 
         # A list of tools the model may call. Currently, only functions are supported as a
-        #   tool. Use this to provide a list of functions the model may generate JSON inputs
-        #   for. A max of 128 functions are supported.
+        # tool. Use this to provide a list of functions the model may generate JSON inputs
+        # for. A max of 128 functions are supported.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Chat::ChatCompletionTool])) }
         attr_reader :tools
 
@@ -339,22 +339,22 @@ module OpenAI
         attr_writer :tools
 
         # An integer between 0 and 20 specifying the number of most likely tokens to
-        #   return at each token position, each with an associated log probability.
-        #   `logprobs` must be set to `true` if this parameter is used.
+        # return at each token position, each with an associated log probability.
+        # `logprobs` must be set to `true` if this parameter is used.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :top_logprobs
 
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or `temperature` but not both.
+        # We generally recommend altering this or `temperature` but not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :top_p
 
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         sig { returns(T.nilable(String)) }
         attr_reader :user
 
@@ -362,8 +362,8 @@ module OpenAI
         attr_writer :user
 
         # This tool searches the web for relevant results to use in a response. Learn more
-        #   about the
-        #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+        # about the
+        # [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
         sig { returns(T.nilable(OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions)) }
         attr_reader :web_search_options
 
@@ -527,10 +527,10 @@ module OpenAI
         def to_hash; end
 
         # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #   wide range of models with different capabilities, performance characteristics,
-        #   and price points. Refer to the
-        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #   available models.
+        # wide range of models with different capabilities, performance characteristics,
+        # and price points. Refer to the
+        # [model guide](https://platform.openai.com/docs/models) to browse and compare
+        # available models.
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -540,24 +540,24 @@ module OpenAI
 
         # Deprecated in favor of `tool_choice`.
         #
-        #   Controls which (if any) function is called by the model.
+        # Controls which (if any) function is called by the model.
         #
-        #   `none` means the model will not call a function and instead generates a message.
+        # `none` means the model will not call a function and instead generates a message.
         #
-        #   `auto` means the model can pick between generating a message or calling a
-        #   function.
+        # `auto` means the model can pick between generating a message or calling a
+        # function.
         #
-        #   Specifying a particular function via `{"name": "my_function"}` forces the model
-        #   to call that function.
+        # Specifying a particular function via `{"name": "my_function"}` forces the model
+        # to call that function.
         #
-        #   `none` is the default when no functions are present. `auto` is the default if
-        #   functions are present.
+        # `none` is the default when no functions are present. `auto` is the default if
+        # functions are present.
         module FunctionCall
           extend OpenAI::Internal::Type::Union
 
           # `none` means the model will not call a function and instead generates a message.
-          #   `auto` means the model can pick between generating a message or calling a
-          #   function.
+          # `auto` means the model can pick between generating a message or calling a
+          # function.
           module FunctionCallMode
             extend OpenAI::Internal::Type::Enum
 
@@ -597,12 +597,12 @@ module OpenAI
 
         class Function < OpenAI::Internal::Type::BaseModel
           # The name of the function to be called. Must be a-z, A-Z, 0-9, or contain
-          #   underscores and dashes, with a maximum length of 64.
+          # underscores and dashes, with a maximum length of 64.
           sig { returns(String) }
           attr_accessor :name
 
           # A description of what the function does, used by the model to choose when and
-          #   how to call the function.
+          # how to call the function.
           sig { returns(T.nilable(String)) }
           attr_reader :description
 
@@ -610,12 +610,12 @@ module OpenAI
           attr_writer :description
 
           # The parameters the functions accepts, described as a JSON Schema object. See the
-          #   [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
-          #   and the
-          #   [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
-          #   documentation about the format.
+          # [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
+          # and the
+          # [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
+          # documentation about the format.
           #
-          #   Omitting `parameters` defines a function with an empty parameter list.
+          # Omitting `parameters` defines a function with an empty parameter list.
           sig { returns(T.nilable(T::Hash[Symbol, T.anything])) }
           attr_reader :parameters
 
@@ -650,14 +650,14 @@ module OpenAI
 
         # An object specifying the format that the model must output.
         #
-        #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-        #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-        #   in the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+        # Outputs which ensures the model will match your supplied JSON schema. Learn more
+        # in the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-        #   ensures the message the model generates is valid JSON. Using `json_schema` is
-        #   preferred for models that support it.
+        # Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+        # ensures the message the model generates is valid JSON. Using `json_schema` is
+        # preferred for models that support it.
         module ResponseFormat
           extend OpenAI::Internal::Type::Union
 
@@ -671,19 +671,19 @@ module OpenAI
         end
 
         # Specifies the latency tier to use for processing the request. This parameter is
-        #   relevant for customers subscribed to the scale tier service:
+        # relevant for customers subscribed to the scale tier service:
         #
-        #   - If set to 'auto', and the Project is Scale tier enabled, the system will
-        #     utilize scale tier credits until they are exhausted.
-        #   - If set to 'auto', and the Project is not Scale tier enabled, the request will
-        #     be processed using the default service tier with a lower uptime SLA and no
-        #     latency guarentee.
-        #   - If set to 'default', the request will be processed using the default service
-        #     tier with a lower uptime SLA and no latency guarentee.
-        #   - When not set, the default behavior is 'auto'.
+        # - If set to 'auto', and the Project is Scale tier enabled, the system will
+        #   utilize scale tier credits until they are exhausted.
+        # - If set to 'auto', and the Project is not Scale tier enabled, the request will
+        #   be processed using the default service tier with a lower uptime SLA and no
+        #   latency guarentee.
+        # - If set to 'default', the request will be processed using the default service
+        #   tier with a lower uptime SLA and no latency guarentee.
+        # - When not set, the default behavior is 'auto'.
         #
-        #   When this parameter is set, the response body will include the `service_tier`
-        #   utilized.
+        # When this parameter is set, the response body will include the `service_tier`
+        # utilized.
         module ServiceTier
           extend OpenAI::Internal::Type::Enum
 
@@ -699,7 +699,7 @@ module OpenAI
         end
 
         # Up to 4 sequences where the API will stop generating further tokens. The
-        #   returned text will not contain the stop sequence.
+        # returned text will not contain the stop sequence.
         module Stop
           extend OpenAI::Internal::Type::Union
 
@@ -711,7 +711,7 @@ module OpenAI
 
         class WebSearchOptions < OpenAI::Internal::Type::BaseModel
           # High level guidance for the amount of context window space to use for the
-          #   search. One of `low`, `medium`, or `high`. `medium` is the default.
+          # search. One of `low`, `medium`, or `high`. `medium` is the default.
           sig do
             returns(
               T.nilable(OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions::SearchContextSize::OrSymbol)
@@ -745,8 +745,8 @@ module OpenAI
           attr_writer :user_location
 
           # This tool searches the web for relevant results to use in a response. Learn more
-          #   about the
-          #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+          # about the
+          # [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
           sig do
             params(
               search_context_size: OpenAI::Models::Chat::CompletionCreateParams::WebSearchOptions::SearchContextSize::OrSymbol,
@@ -773,7 +773,7 @@ module OpenAI
           def to_hash; end
 
           # High level guidance for the amount of context window space to use for the
-          #   search. One of `low`, `medium`, or `high`. `medium` is the default.
+          # search. One of `low`, `medium`, or `high`. `medium` is the default.
           module SearchContextSize
             extend OpenAI::Internal::Type::Enum
 
@@ -866,7 +866,7 @@ module OpenAI
               attr_writer :city
 
               # The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of
-              #   the user, e.g. `US`.
+              # the user, e.g. `US`.
               sig { returns(T.nilable(String)) }
               attr_reader :country
 
@@ -881,7 +881,7 @@ module OpenAI
               attr_writer :region
 
               # The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the
-              #   user, e.g. `America/Los_Angeles`.
+              # user, e.g. `America/Los_Angeles`.
               sig { returns(T.nilable(String)) }
               attr_reader :timezone
 
diff --git a/rbi/lib/openai/models/chat/completion_list_params.rbi b/rbi/lib/openai/models/chat/completion_list_params.rbi
index c90d051b..eec03610 100644
--- a/rbi/lib/openai/models/chat/completion_list_params.rbi
+++ b/rbi/lib/openai/models/chat/completion_list_params.rbi
@@ -23,7 +23,7 @@ module OpenAI
 
         # A list of metadata keys to filter the Chat Completions by. Example:
         #
-        #   `metadata[key1]=value1&metadata[key2]=value2`
+        # `metadata[key1]=value1&metadata[key2]=value2`
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
@@ -35,7 +35,7 @@ module OpenAI
         attr_writer :model
 
         # Sort order for Chat Completions by timestamp. Use `asc` for ascending order or
-        #   `desc` for descending order. Defaults to `asc`.
+        # `desc` for descending order. Defaults to `asc`.
         sig { returns(T.nilable(OpenAI::Models::Chat::CompletionListParams::Order::OrSymbol)) }
         attr_reader :order
 
@@ -71,7 +71,7 @@ module OpenAI
         def to_hash; end
 
         # Sort order for Chat Completions by timestamp. Use `asc` for ascending order or
-        #   `desc` for descending order. Defaults to `asc`.
+        # `desc` for descending order. Defaults to `asc`.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/chat/completion_update_params.rbi b/rbi/lib/openai/models/chat/completion_update_params.rbi
index 49a8c260..b85b54da 100644
--- a/rbi/lib/openai/models/chat/completion_update_params.rbi
+++ b/rbi/lib/openai/models/chat/completion_update_params.rbi
@@ -8,11 +8,11 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
diff --git a/rbi/lib/openai/models/chat/completions/message_list_params.rbi b/rbi/lib/openai/models/chat/completions/message_list_params.rbi
index 85aa9aba..8a39c287 100644
--- a/rbi/lib/openai/models/chat/completions/message_list_params.rbi
+++ b/rbi/lib/openai/models/chat/completions/message_list_params.rbi
@@ -23,7 +23,7 @@ module OpenAI
           attr_writer :limit
 
           # Sort order for messages by timestamp. Use `asc` for ascending order or `desc`
-          #   for descending order. Defaults to `asc`.
+          # for descending order. Defaults to `asc`.
           sig { returns(T.nilable(OpenAI::Models::Chat::Completions::MessageListParams::Order::OrSymbol)) }
           attr_reader :order
 
@@ -55,7 +55,7 @@ module OpenAI
           def to_hash; end
 
           # Sort order for messages by timestamp. Use `asc` for ascending order or `desc`
-          #   for descending order. Defaults to `asc`.
+          # for descending order. Defaults to `asc`.
           module Order
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/comparison_filter.rbi b/rbi/lib/openai/models/comparison_filter.rbi
index 2129e61f..15d111b8 100644
--- a/rbi/lib/openai/models/comparison_filter.rbi
+++ b/rbi/lib/openai/models/comparison_filter.rbi
@@ -9,22 +9,22 @@ module OpenAI
 
       # Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`.
       #
-      #   - `eq`: equals
-      #   - `ne`: not equal
-      #   - `gt`: greater than
-      #   - `gte`: greater than or equal
-      #   - `lt`: less than
-      #   - `lte`: less than or equal
+      # - `eq`: equals
+      # - `ne`: not equal
+      # - `gt`: greater than
+      # - `gte`: greater than or equal
+      # - `lt`: less than
+      # - `lte`: less than or equal
       sig { returns(OpenAI::Models::ComparisonFilter::Type::OrSymbol) }
       attr_accessor :type
 
       # The value to compare against the attribute key; supports string, number, or
-      #   boolean types.
+      # boolean types.
       sig { returns(T.any(String, Float, T::Boolean)) }
       attr_accessor :value
 
       # A filter used to compare a specified attribute key to a given value using a
-      #   defined comparison operation.
+      # defined comparison operation.
       sig do
         params(
           key: String,
@@ -45,12 +45,12 @@ module OpenAI
 
       # Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`.
       #
-      #   - `eq`: equals
-      #   - `ne`: not equal
-      #   - `gt`: greater than
-      #   - `gte`: greater than or equal
-      #   - `lt`: less than
-      #   - `lte`: less than or equal
+      # - `eq`: equals
+      # - `ne`: not equal
+      # - `gt`: greater than
+      # - `gte`: greater than or equal
+      # - `lt`: less than
+      # - `lte`: less than or equal
       module Type
         extend OpenAI::Internal::Type::Enum
 
@@ -69,7 +69,7 @@ module OpenAI
       end
 
       # The value to compare against the attribute key; supports string, number, or
-      #   boolean types.
+      # boolean types.
       module Value
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/completion.rbi b/rbi/lib/openai/models/completion.rbi
index d24d8268..aa47ab99 100644
--- a/rbi/lib/openai/models/completion.rbi
+++ b/rbi/lib/openai/models/completion.rbi
@@ -25,8 +25,8 @@ module OpenAI
 
       # This fingerprint represents the backend configuration that the model runs with.
       #
-      #   Can be used in conjunction with the `seed` request parameter to understand when
-      #   backend changes have been made that might impact determinism.
+      # Can be used in conjunction with the `seed` request parameter to understand when
+      # backend changes have been made that might impact determinism.
       sig { returns(T.nilable(String)) }
       attr_reader :system_fingerprint
 
@@ -41,7 +41,7 @@ module OpenAI
       attr_writer :usage
 
       # Represents a completion response from the API. Note: both the streamed and
-      #   non-streamed response objects share the same shape (unlike the chat endpoint).
+      # non-streamed response objects share the same shape (unlike the chat endpoint).
       sig do
         params(
           id: String,
diff --git a/rbi/lib/openai/models/completion_choice.rbi b/rbi/lib/openai/models/completion_choice.rbi
index 9833bea3..375563ef 100644
--- a/rbi/lib/openai/models/completion_choice.rbi
+++ b/rbi/lib/openai/models/completion_choice.rbi
@@ -4,9 +4,9 @@ module OpenAI
   module Models
     class CompletionChoice < OpenAI::Internal::Type::BaseModel
       # The reason the model stopped generating tokens. This will be `stop` if the model
-      #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-      #   number of tokens specified in the request was reached, or `content_filter` if
-      #   content was omitted due to a flag from our content filters.
+      # hit a natural stop point or a provided stop sequence, `length` if the maximum
+      # number of tokens specified in the request was reached, or `content_filter` if
+      # content was omitted due to a flag from our content filters.
       sig { returns(OpenAI::Models::CompletionChoice::FinishReason::TaggedSymbol) }
       attr_accessor :finish_reason
 
@@ -50,9 +50,9 @@ module OpenAI
       def to_hash; end
 
       # The reason the model stopped generating tokens. This will be `stop` if the model
-      #   hit a natural stop point or a provided stop sequence, `length` if the maximum
-      #   number of tokens specified in the request was reached, or `content_filter` if
-      #   content was omitted due to a flag from our content filters.
+      # hit a natural stop point or a provided stop sequence, `length` if the maximum
+      # number of tokens specified in the request was reached, or `content_filter` if
+      # content was omitted due to a flag from our content filters.
       module FinishReason
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/completion_create_params.rbi b/rbi/lib/openai/models/completion_create_params.rbi
index 01701e36..cdda2364 100644
--- a/rbi/lib/openai/models/completion_create_params.rbi
+++ b/rbi/lib/openai/models/completion_create_params.rbi
@@ -7,33 +7,33 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # ID of the model to use. You can use the
-      #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-      #   see all of your available models, or see our
-      #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-      #   them.
+      # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+      # see all of your available models, or see our
+      # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+      # them.
       sig { returns(T.any(String, OpenAI::Models::CompletionCreateParams::Model::OrSymbol)) }
       attr_accessor :model
 
       # The prompt(s) to generate completions for, encoded as a string, array of
-      #   strings, array of tokens, or array of token arrays.
+      # strings, array of tokens, or array of token arrays.
       #
-      #   Note that <|endoftext|> is the document separator that the model sees during
-      #   training, so if a prompt is not specified the model will generate as if from the
-      #   beginning of a new document.
+      # Note that <|endoftext|> is the document separator that the model sees during
+      # training, so if a prompt is not specified the model will generate as if from the
+      # beginning of a new document.
       sig do
         returns(T.nilable(T.any(String, T::Array[String], T::Array[Integer], T::Array[T::Array[Integer]])))
       end
       attr_accessor :prompt
 
       # Generates `best_of` completions server-side and returns the "best" (the one with
-      #   the highest log probability per token). Results cannot be streamed.
+      # the highest log probability per token). Results cannot be streamed.
       #
-      #   When used with `n`, `best_of` controls the number of candidate completions and
-      #   `n` specifies how many to return – `best_of` must be greater than `n`.
+      # When used with `n`, `best_of` controls the number of candidate completions and
+      # `n` specifies how many to return – `best_of` must be greater than `n`.
       #
-      #   **Note:** Because this parameter generates many completions, it can quickly
-      #   consume your token quota. Use carefully and ensure that you have reasonable
-      #   settings for `max_tokens` and `stop`.
+      # **Note:** Because this parameter generates many completions, it can quickly
+      # consume your token quota. Use carefully and ensure that you have reasonable
+      # settings for `max_tokens` and `stop`.
       sig { returns(T.nilable(Integer)) }
       attr_accessor :best_of
 
@@ -42,74 +42,74 @@ module OpenAI
       attr_accessor :echo
 
       # Number between -2.0 and 2.0. Positive values penalize new tokens based on their
-      #   existing frequency in the text so far, decreasing the model's likelihood to
-      #   repeat the same line verbatim.
+      # existing frequency in the text so far, decreasing the model's likelihood to
+      # repeat the same line verbatim.
       #
-      #   [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
+      # [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
       sig { returns(T.nilable(Float)) }
       attr_accessor :frequency_penalty
 
       # Modify the likelihood of specified tokens appearing in the completion.
       #
-      #   Accepts a JSON object that maps tokens (specified by their token ID in the GPT
-      #   tokenizer) to an associated bias value from -100 to 100. You can use this
-      #   [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs.
-      #   Mathematically, the bias is added to the logits generated by the model prior to
-      #   sampling. The exact effect will vary per model, but values between -1 and 1
-      #   should decrease or increase likelihood of selection; values like -100 or 100
-      #   should result in a ban or exclusive selection of the relevant token.
+      # Accepts a JSON object that maps tokens (specified by their token ID in the GPT
+      # tokenizer) to an associated bias value from -100 to 100. You can use this
+      # [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs.
+      # Mathematically, the bias is added to the logits generated by the model prior to
+      # sampling. The exact effect will vary per model, but values between -1 and 1
+      # should decrease or increase likelihood of selection; values like -100 or 100
+      # should result in a ban or exclusive selection of the relevant token.
       #
-      #   As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token
-      #   from being generated.
+      # As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token
+      # from being generated.
       sig { returns(T.nilable(T::Hash[Symbol, Integer])) }
       attr_accessor :logit_bias
 
       # Include the log probabilities on the `logprobs` most likely output tokens, as
-      #   well the chosen tokens. For example, if `logprobs` is 5, the API will return a
-      #   list of the 5 most likely tokens. The API will always return the `logprob` of
-      #   the sampled token, so there may be up to `logprobs+1` elements in the response.
+      # well the chosen tokens. For example, if `logprobs` is 5, the API will return a
+      # list of the 5 most likely tokens. The API will always return the `logprob` of
+      # the sampled token, so there may be up to `logprobs+1` elements in the response.
       #
-      #   The maximum value for `logprobs` is 5.
+      # The maximum value for `logprobs` is 5.
       sig { returns(T.nilable(Integer)) }
       attr_accessor :logprobs
 
       # The maximum number of [tokens](/tokenizer) that can be generated in the
-      #   completion.
+      # completion.
       #
-      #   The token count of your prompt plus `max_tokens` cannot exceed the model's
-      #   context length.
-      #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-      #   for counting tokens.
+      # The token count of your prompt plus `max_tokens` cannot exceed the model's
+      # context length.
+      # [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+      # for counting tokens.
       sig { returns(T.nilable(Integer)) }
       attr_accessor :max_tokens
 
       # How many completions to generate for each prompt.
       #
-      #   **Note:** Because this parameter generates many completions, it can quickly
-      #   consume your token quota. Use carefully and ensure that you have reasonable
-      #   settings for `max_tokens` and `stop`.
+      # **Note:** Because this parameter generates many completions, it can quickly
+      # consume your token quota. Use carefully and ensure that you have reasonable
+      # settings for `max_tokens` and `stop`.
       sig { returns(T.nilable(Integer)) }
       attr_accessor :n
 
       # Number between -2.0 and 2.0. Positive values penalize new tokens based on
-      #   whether they appear in the text so far, increasing the model's likelihood to
-      #   talk about new topics.
+      # whether they appear in the text so far, increasing the model's likelihood to
+      # talk about new topics.
       #
-      #   [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
+      # [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
       sig { returns(T.nilable(Float)) }
       attr_accessor :presence_penalty
 
       # If specified, our system will make a best effort to sample deterministically,
-      #   such that repeated requests with the same `seed` and parameters should return
-      #   the same result.
+      # such that repeated requests with the same `seed` and parameters should return
+      # the same result.
       #
-      #   Determinism is not guaranteed, and you should refer to the `system_fingerprint`
-      #   response parameter to monitor changes in the backend.
+      # Determinism is not guaranteed, and you should refer to the `system_fingerprint`
+      # response parameter to monitor changes in the backend.
       sig { returns(T.nilable(Integer)) }
       attr_accessor :seed
 
       # Up to 4 sequences where the API will stop generating further tokens. The
-      #   returned text will not contain the stop sequence.
+      # returned text will not contain the stop sequence.
       sig { returns(T.nilable(T.any(String, T::Array[String]))) }
       attr_accessor :stop
 
@@ -127,29 +127,29 @@ module OpenAI
 
       # The suffix that comes after a completion of inserted text.
       #
-      #   This parameter is only supported for `gpt-3.5-turbo-instruct`.
+      # This parameter is only supported for `gpt-3.5-turbo-instruct`.
       sig { returns(T.nilable(String)) }
       attr_accessor :suffix
 
       # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-      #   make the output more random, while lower values like 0.2 will make it more
-      #   focused and deterministic.
+      # make the output more random, while lower values like 0.2 will make it more
+      # focused and deterministic.
       #
-      #   We generally recommend altering this or `top_p` but not both.
+      # We generally recommend altering this or `top_p` but not both.
       sig { returns(T.nilable(Float)) }
       attr_accessor :temperature
 
       # An alternative to sampling with temperature, called nucleus sampling, where the
-      #   model considers the results of the tokens with top_p probability mass. So 0.1
-      #   means only the tokens comprising the top 10% probability mass are considered.
+      # model considers the results of the tokens with top_p probability mass. So 0.1
+      # means only the tokens comprising the top 10% probability mass are considered.
       #
-      #   We generally recommend altering this or `temperature` but not both.
+      # We generally recommend altering this or `temperature` but not both.
       sig { returns(T.nilable(Float)) }
       attr_accessor :top_p
 
       # A unique identifier representing your end-user, which can help OpenAI to monitor
-      #   and detect abuse.
-      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      # and detect abuse.
+      # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       sig { returns(T.nilable(String)) }
       attr_reader :user
 
@@ -234,10 +234,10 @@ module OpenAI
       def to_hash; end
 
       # ID of the model to use. You can use the
-      #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-      #   see all of your available models, or see our
-      #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-      #   them.
+      # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+      # see all of your available models, or see our
+      # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+      # them.
       module Model
         extend OpenAI::Internal::Type::Union
 
@@ -255,11 +255,11 @@ module OpenAI
       end
 
       # The prompt(s) to generate completions for, encoded as a string, array of
-      #   strings, array of tokens, or array of token arrays.
+      # strings, array of tokens, or array of token arrays.
       #
-      #   Note that <|endoftext|> is the document separator that the model sees during
-      #   training, so if a prompt is not specified the model will generate as if from the
-      #   beginning of a new document.
+      # Note that <|endoftext|> is the document separator that the model sees during
+      # training, so if a prompt is not specified the model will generate as if from the
+      # beginning of a new document.
       module Prompt
         extend OpenAI::Internal::Type::Union
 
@@ -278,7 +278,7 @@ module OpenAI
       end
 
       # Up to 4 sequences where the API will stop generating further tokens. The
-      #   returned text will not contain the stop sequence.
+      # returned text will not contain the stop sequence.
       module Stop
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/completion_usage.rbi b/rbi/lib/openai/models/completion_usage.rbi
index e0fbddc4..2872756d 100644
--- a/rbi/lib/openai/models/completion_usage.rbi
+++ b/rbi/lib/openai/models/completion_usage.rbi
@@ -73,7 +73,7 @@ module OpenAI
 
       class CompletionTokensDetails < OpenAI::Internal::Type::BaseModel
         # When using Predicted Outputs, the number of tokens in the prediction that
-        #   appeared in the completion.
+        # appeared in the completion.
         sig { returns(T.nilable(Integer)) }
         attr_reader :accepted_prediction_tokens
 
@@ -95,9 +95,9 @@ module OpenAI
         attr_writer :reasoning_tokens
 
         # When using Predicted Outputs, the number of tokens in the prediction that did
-        #   not appear in the completion. However, like reasoning tokens, these tokens are
-        #   still counted in the total completion tokens for purposes of billing, output,
-        #   and context window limits.
+        # not appear in the completion. However, like reasoning tokens, these tokens are
+        # still counted in the total completion tokens for purposes of billing, output,
+        # and context window limits.
         sig { returns(T.nilable(Integer)) }
         attr_reader :rejected_prediction_tokens
 
diff --git a/rbi/lib/openai/models/compound_filter.rbi b/rbi/lib/openai/models/compound_filter.rbi
index 214f5113..5eee5410 100644
--- a/rbi/lib/openai/models/compound_filter.rbi
+++ b/rbi/lib/openai/models/compound_filter.rbi
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     class CompoundFilter < OpenAI::Internal::Type::BaseModel
       # Array of filters to combine. Items can be `ComparisonFilter` or
-      #   `CompoundFilter`.
+      # `CompoundFilter`.
       sig { returns(T::Array[T.any(OpenAI::Models::ComparisonFilter, T.anything)]) }
       attr_accessor :filters
 
@@ -34,7 +34,7 @@ module OpenAI
       def to_hash; end
 
       # A filter used to compare a specified attribute key to a given value using a
-      #   defined comparison operation.
+      # defined comparison operation.
       module Filter
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/embedding.rbi b/rbi/lib/openai/models/embedding.rbi
index 0567898b..ac1fc9ab 100644
--- a/rbi/lib/openai/models/embedding.rbi
+++ b/rbi/lib/openai/models/embedding.rbi
@@ -4,8 +4,8 @@ module OpenAI
   module Models
     class Embedding < OpenAI::Internal::Type::BaseModel
       # The embedding vector, which is a list of floats. The length of vector depends on
-      #   the model as listed in the
-      #   [embedding guide](https://platform.openai.com/docs/guides/embeddings).
+      # the model as listed in the
+      # [embedding guide](https://platform.openai.com/docs/guides/embeddings).
       sig { returns(T::Array[Float]) }
       attr_accessor :embedding
 
diff --git a/rbi/lib/openai/models/embedding_create_params.rbi b/rbi/lib/openai/models/embedding_create_params.rbi
index 6e763395..0869c887 100644
--- a/rbi/lib/openai/models/embedding_create_params.rbi
+++ b/rbi/lib/openai/models/embedding_create_params.rbi
@@ -7,26 +7,26 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # Input text to embed, encoded as a string or array of tokens. To embed multiple
-      #   inputs in a single request, pass an array of strings or array of token arrays.
-      #   The input must not exceed the max input tokens for the model (8192 tokens for
-      #   `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
-      #   dimensions or less.
-      #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-      #   for counting tokens. Some models may also impose a limit on total number of
-      #   tokens summed across inputs.
+      # inputs in a single request, pass an array of strings or array of token arrays.
+      # The input must not exceed the max input tokens for the model (8192 tokens for
+      # `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
+      # dimensions or less.
+      # [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+      # for counting tokens. Some models may also impose a limit on total number of
+      # tokens summed across inputs.
       sig { returns(T.any(String, T::Array[String], T::Array[Integer], T::Array[T::Array[Integer]])) }
       attr_accessor :input
 
       # ID of the model to use. You can use the
-      #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-      #   see all of your available models, or see our
-      #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-      #   them.
+      # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+      # see all of your available models, or see our
+      # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+      # them.
       sig { returns(T.any(String, OpenAI::Models::EmbeddingModel::OrSymbol)) }
       attr_accessor :model
 
       # The number of dimensions the resulting output embeddings should have. Only
-      #   supported in `text-embedding-3` and later models.
+      # supported in `text-embedding-3` and later models.
       sig { returns(T.nilable(Integer)) }
       attr_reader :dimensions
 
@@ -34,7 +34,7 @@ module OpenAI
       attr_writer :dimensions
 
       # The format to return the embeddings in. Can be either `float` or
-      #   [`base64`](https://pypi.org/project/pybase64/).
+      # [`base64`](https://pypi.org/project/pybase64/).
       sig { returns(T.nilable(OpenAI::Models::EmbeddingCreateParams::EncodingFormat::OrSymbol)) }
       attr_reader :encoding_format
 
@@ -42,8 +42,8 @@ module OpenAI
       attr_writer :encoding_format
 
       # A unique identifier representing your end-user, which can help OpenAI to monitor
-      #   and detect abuse.
-      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      # and detect abuse.
+      # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       sig { returns(T.nilable(String)) }
       attr_reader :user
 
@@ -79,13 +79,13 @@ module OpenAI
       def to_hash; end
 
       # Input text to embed, encoded as a string or array of tokens. To embed multiple
-      #   inputs in a single request, pass an array of strings or array of token arrays.
-      #   The input must not exceed the max input tokens for the model (8192 tokens for
-      #   `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
-      #   dimensions or less.
-      #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-      #   for counting tokens. Some models may also impose a limit on total number of
-      #   tokens summed across inputs.
+      # inputs in a single request, pass an array of strings or array of token arrays.
+      # The input must not exceed the max input tokens for the model (8192 tokens for
+      # `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
+      # dimensions or less.
+      # [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+      # for counting tokens. Some models may also impose a limit on total number of
+      # tokens summed across inputs.
       module Input
         extend OpenAI::Internal::Type::Union
 
@@ -104,10 +104,10 @@ module OpenAI
       end
 
       # ID of the model to use. You can use the
-      #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-      #   see all of your available models, or see our
-      #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-      #   them.
+      # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+      # see all of your available models, or see our
+      # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+      # them.
       module Model
         extend OpenAI::Internal::Type::Union
 
@@ -116,7 +116,7 @@ module OpenAI
       end
 
       # The format to return the embeddings in. Can be either `float` or
-      #   [`base64`](https://pypi.org/project/pybase64/).
+      # [`base64`](https://pypi.org/project/pybase64/).
       module EncodingFormat
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/file_chunking_strategy_param.rbi b/rbi/lib/openai/models/file_chunking_strategy_param.rbi
index 346a7b5a..ca7b56c4 100644
--- a/rbi/lib/openai/models/file_chunking_strategy_param.rbi
+++ b/rbi/lib/openai/models/file_chunking_strategy_param.rbi
@@ -3,7 +3,7 @@
 module OpenAI
   module Models
     # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-    #   strategy. Only applicable if `file_ids` is non-empty.
+    # strategy. Only applicable if `file_ids` is non-empty.
     module FileChunkingStrategyParam
       extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/file_create_params.rbi b/rbi/lib/openai/models/file_create_params.rbi
index fb50d427..c3d5af72 100644
--- a/rbi/lib/openai/models/file_create_params.rbi
+++ b/rbi/lib/openai/models/file_create_params.rbi
@@ -11,9 +11,9 @@ module OpenAI
       attr_accessor :file
 
       # The intended purpose of the uploaded file. One of: - `assistants`: Used in the
-      #   Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
-      #   fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
-      #   Flexible file type for any purpose - `evals`: Used for eval data sets
+      # Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
+      # fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
+      # Flexible file type for any purpose - `evals`: Used for eval data sets
       sig { returns(OpenAI::Models::FilePurpose::OrSymbol) }
       attr_accessor :purpose
 
diff --git a/rbi/lib/openai/models/file_list_params.rbi b/rbi/lib/openai/models/file_list_params.rbi
index e89cec8f..daad5aea 100644
--- a/rbi/lib/openai/models/file_list_params.rbi
+++ b/rbi/lib/openai/models/file_list_params.rbi
@@ -7,9 +7,9 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # A cursor for use in pagination. `after` is an object ID that defines your place
-      #   in the list. For instance, if you make a list request and receive 100 objects,
-      #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-      #   fetch the next page of the list.
+      # in the list. For instance, if you make a list request and receive 100 objects,
+      # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+      # fetch the next page of the list.
       sig { returns(T.nilable(String)) }
       attr_reader :after
 
@@ -17,7 +17,7 @@ module OpenAI
       attr_writer :after
 
       # A limit on the number of objects to be returned. Limit can range between 1 and
-      #   10,000, and the default is 10,000.
+      # 10,000, and the default is 10,000.
       sig { returns(T.nilable(Integer)) }
       attr_reader :limit
 
@@ -25,7 +25,7 @@ module OpenAI
       attr_writer :limit
 
       # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-      #   order and `desc` for descending order.
+      # order and `desc` for descending order.
       sig { returns(T.nilable(OpenAI::Models::FileListParams::Order::OrSymbol)) }
       attr_reader :order
 
@@ -66,7 +66,7 @@ module OpenAI
       def to_hash; end
 
       # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-      #   order and `desc` for descending order.
+      # order and `desc` for descending order.
       module Order
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/file_object.rbi b/rbi/lib/openai/models/file_object.rbi
index 34dd1542..15e6c24d 100644
--- a/rbi/lib/openai/models/file_object.rbi
+++ b/rbi/lib/openai/models/file_object.rbi
@@ -24,13 +24,13 @@ module OpenAI
       attr_accessor :object
 
       # The intended purpose of the file. Supported values are `assistants`,
-      #   `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
-      #   and `vision`.
+      # `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
+      # and `vision`.
       sig { returns(OpenAI::Models::FileObject::Purpose::TaggedSymbol) }
       attr_accessor :purpose
 
       # Deprecated. The current status of the file, which can be either `uploaded`,
-      #   `processed`, or `error`.
+      # `processed`, or `error`.
       sig { returns(OpenAI::Models::FileObject::Status::TaggedSymbol) }
       attr_accessor :status
 
@@ -42,7 +42,7 @@ module OpenAI
       attr_writer :expires_at
 
       # Deprecated. For details on why a fine-tuning training file failed validation,
-      #   see the `error` field on `fine_tuning.job`.
+      # see the `error` field on `fine_tuning.job`.
       sig { returns(T.nilable(String)) }
       attr_reader :status_details
 
@@ -94,8 +94,8 @@ module OpenAI
       def to_hash; end
 
       # The intended purpose of the file. Supported values are `assistants`,
-      #   `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
-      #   and `vision`.
+      # `assistants_output`, `batch`, `batch_output`, `fine-tune`, `fine-tune-results`
+      # and `vision`.
       module Purpose
         extend OpenAI::Internal::Type::Enum
 
@@ -115,7 +115,7 @@ module OpenAI
       end
 
       # Deprecated. The current status of the file, which can be either `uploaded`,
-      #   `processed`, or `error`.
+      # `processed`, or `error`.
       module Status
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/file_purpose.rbi b/rbi/lib/openai/models/file_purpose.rbi
index a1e5347b..274edce7 100644
--- a/rbi/lib/openai/models/file_purpose.rbi
+++ b/rbi/lib/openai/models/file_purpose.rbi
@@ -3,9 +3,9 @@
 module OpenAI
   module Models
     # The intended purpose of the uploaded file. One of: - `assistants`: Used in the
-    #   Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
-    #   fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
-    #   Flexible file type for any purpose - `evals`: Used for eval data sets
+    # Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
+    # fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
+    # Flexible file type for any purpose - `evals`: Used for eval data sets
     module FilePurpose
       extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/fine_tuning/fine_tuning_job.rbi b/rbi/lib/openai/models/fine_tuning/fine_tuning_job.rbi
index 666480f0..b12fca64 100644
--- a/rbi/lib/openai/models/fine_tuning/fine_tuning_job.rbi
+++ b/rbi/lib/openai/models/fine_tuning/fine_tuning_job.rbi
@@ -13,7 +13,7 @@ module OpenAI
         attr_accessor :created_at
 
         # For fine-tuning jobs that have `failed`, this will contain more information on
-        #   the cause of the failure.
+        # the cause of the failure.
         sig { returns(T.nilable(OpenAI::Models::FineTuning::FineTuningJob::Error)) }
         attr_reader :error
 
@@ -26,17 +26,17 @@ module OpenAI
         attr_writer :error
 
         # The name of the fine-tuned model that is being created. The value will be null
-        #   if the fine-tuning job is still running.
+        # if the fine-tuning job is still running.
         sig { returns(T.nilable(String)) }
         attr_accessor :fine_tuned_model
 
         # The Unix timestamp (in seconds) for when the fine-tuning job was finished. The
-        #   value will be null if the fine-tuning job is still running.
+        # value will be null if the fine-tuning job is still running.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :finished_at
 
         # The hyperparameters used for the fine-tuning job. This value will only be
-        #   returned when running `supervised` jobs.
+        # returned when running `supervised` jobs.
         sig { returns(OpenAI::Models::FineTuning::FineTuningJob::Hyperparameters) }
         attr_reader :hyperparameters
 
@@ -61,8 +61,8 @@ module OpenAI
         attr_accessor :organization_id
 
         # The compiled results file ID(s) for the fine-tuning job. You can retrieve the
-        #   results with the
-        #   [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
+        # results with the
+        # [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
         sig { returns(T::Array[String]) }
         attr_accessor :result_files
 
@@ -71,28 +71,28 @@ module OpenAI
         attr_accessor :seed
 
         # The current status of the fine-tuning job, which can be either
-        #   `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
+        # `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
         sig { returns(OpenAI::Models::FineTuning::FineTuningJob::Status::TaggedSymbol) }
         attr_accessor :status
 
         # The total number of billable tokens processed by this fine-tuning job. The value
-        #   will be null if the fine-tuning job is still running.
+        # will be null if the fine-tuning job is still running.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :trained_tokens
 
         # The file ID used for training. You can retrieve the training data with the
-        #   [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
+        # [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
         sig { returns(String) }
         attr_accessor :training_file
 
         # The file ID used for validation. You can retrieve the validation results with
-        #   the
-        #   [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
+        # the
+        # [Files API](https://platform.openai.com/docs/api-reference/files/retrieve-contents).
         sig { returns(T.nilable(String)) }
         attr_accessor :validation_file
 
         # The Unix timestamp (in seconds) for when the fine-tuning job is estimated to
-        #   finish. The value will be null if the fine-tuning job is not running.
+        # finish. The value will be null if the fine-tuning job is not running.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :estimated_finish
 
@@ -101,11 +101,11 @@ module OpenAI
         attr_accessor :integrations
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
@@ -117,7 +117,7 @@ module OpenAI
         attr_writer :method_
 
         # The `fine_tuning.job` object represents a fine-tuning job that has been created
-        #   through the API.
+        # through the API.
         sig do
           params(
             id: String,
@@ -203,12 +203,12 @@ module OpenAI
           attr_accessor :message
 
           # The parameter that was invalid, usually `training_file` or `validation_file`.
-          #   This field will be null if the failure was not parameter-specific.
+          # This field will be null if the failure was not parameter-specific.
           sig { returns(T.nilable(String)) }
           attr_accessor :param
 
           # For fine-tuning jobs that have `failed`, this will contain more information on
-          #   the cause of the failure.
+          # the cause of the failure.
           sig { params(code: String, message: String, param: T.nilable(String)).returns(T.attached_class) }
           def self.new(code:, message:, param:); end
 
@@ -218,7 +218,7 @@ module OpenAI
 
         class Hyperparameters < OpenAI::Internal::Type::BaseModel
           # Number of examples in each batch. A larger batch size means that model
-          #   parameters are updated less frequently, but with lower variance.
+          # parameters are updated less frequently, but with lower variance.
           sig { returns(T.nilable(T.any(Symbol, Integer))) }
           attr_reader :batch_size
 
@@ -226,7 +226,7 @@ module OpenAI
           attr_writer :batch_size
 
           # Scaling factor for the learning rate. A smaller learning rate may be useful to
-          #   avoid overfitting.
+          # avoid overfitting.
           sig { returns(T.nilable(T.any(Symbol, Float))) }
           attr_reader :learning_rate_multiplier
 
@@ -234,7 +234,7 @@ module OpenAI
           attr_writer :learning_rate_multiplier
 
           # The number of epochs to train the model for. An epoch refers to one full cycle
-          #   through the training dataset.
+          # through the training dataset.
           sig { returns(T.nilable(T.any(Symbol, Integer))) }
           attr_reader :n_epochs
 
@@ -242,7 +242,7 @@ module OpenAI
           attr_writer :n_epochs
 
           # The hyperparameters used for the fine-tuning job. This value will only be
-          #   returned when running `supervised` jobs.
+          # returned when running `supervised` jobs.
           sig do
             params(
               batch_size: T.any(Symbol, Integer),
@@ -266,7 +266,7 @@ module OpenAI
           def to_hash; end
 
           # Number of examples in each batch. A larger batch size means that model
-          #   parameters are updated less frequently, but with lower variance.
+          # parameters are updated less frequently, but with lower variance.
           module BatchSize
             extend OpenAI::Internal::Type::Union
 
@@ -275,7 +275,7 @@ module OpenAI
           end
 
           # Scaling factor for the learning rate. A smaller learning rate may be useful to
-          #   avoid overfitting.
+          # avoid overfitting.
           module LearningRateMultiplier
             extend OpenAI::Internal::Type::Union
 
@@ -284,7 +284,7 @@ module OpenAI
           end
 
           # The number of epochs to train the model for. An epoch refers to one full cycle
-          #   through the training dataset.
+          # through the training dataset.
           module NEpochs
             extend OpenAI::Internal::Type::Union
 
@@ -294,7 +294,7 @@ module OpenAI
         end
 
         # The current status of the fine-tuning job, which can be either
-        #   `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
+        # `validating_files`, `queued`, `running`, `succeeded`, `failed`, or `cancelled`.
         module Status
           extend OpenAI::Internal::Type::Enum
 
@@ -394,7 +394,7 @@ module OpenAI
 
             class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               sig { returns(T.nilable(T.any(Symbol, Integer))) }
               attr_reader :batch_size
 
@@ -402,7 +402,7 @@ module OpenAI
               attr_writer :batch_size
 
               # The beta value for the DPO method. A higher beta value will increase the weight
-              #   of the penalty between the policy and reference model.
+              # of the penalty between the policy and reference model.
               sig { returns(T.nilable(T.any(Symbol, Float))) }
               attr_reader :beta
 
@@ -410,7 +410,7 @@ module OpenAI
               attr_writer :beta
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               sig { returns(T.nilable(T.any(Symbol, Float))) }
               attr_reader :learning_rate_multiplier
 
@@ -418,7 +418,7 @@ module OpenAI
               attr_writer :learning_rate_multiplier
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               sig { returns(T.nilable(T.any(Symbol, Integer))) }
               attr_reader :n_epochs
 
@@ -451,7 +451,7 @@ module OpenAI
               def to_hash; end
 
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               module BatchSize
                 extend OpenAI::Internal::Type::Union
 
@@ -460,7 +460,7 @@ module OpenAI
               end
 
               # The beta value for the DPO method. A higher beta value will increase the weight
-              #   of the penalty between the policy and reference model.
+              # of the penalty between the policy and reference model.
               module Beta
                 extend OpenAI::Internal::Type::Union
 
@@ -469,7 +469,7 @@ module OpenAI
               end
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               module LearningRateMultiplier
                 extend OpenAI::Internal::Type::Union
 
@@ -478,7 +478,7 @@ module OpenAI
               end
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               module NEpochs
                 extend OpenAI::Internal::Type::Union
 
@@ -524,7 +524,7 @@ module OpenAI
 
             class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               sig { returns(T.nilable(T.any(Symbol, Integer))) }
               attr_reader :batch_size
 
@@ -532,7 +532,7 @@ module OpenAI
               attr_writer :batch_size
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               sig { returns(T.nilable(T.any(Symbol, Float))) }
               attr_reader :learning_rate_multiplier
 
@@ -540,7 +540,7 @@ module OpenAI
               attr_writer :learning_rate_multiplier
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               sig { returns(T.nilable(T.any(Symbol, Integer))) }
               attr_reader :n_epochs
 
@@ -571,7 +571,7 @@ module OpenAI
               def to_hash; end
 
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               module BatchSize
                 extend OpenAI::Internal::Type::Union
 
@@ -580,7 +580,7 @@ module OpenAI
               end
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               module LearningRateMultiplier
                 extend OpenAI::Internal::Type::Union
 
@@ -589,7 +589,7 @@ module OpenAI
               end
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               module NEpochs
                 extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration.rbi b/rbi/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration.rbi
index 717d084a..ba0eda55 100644
--- a/rbi/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration.rbi
+++ b/rbi/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration.rbi
@@ -9,19 +9,19 @@ module OpenAI
         attr_accessor :project
 
         # The entity to use for the run. This allows you to set the team or username of
-        #   the WandB user that you would like associated with the run. If not set, the
-        #   default entity for the registered WandB API key is used.
+        # the WandB user that you would like associated with the run. If not set, the
+        # default entity for the registered WandB API key is used.
         sig { returns(T.nilable(String)) }
         attr_accessor :entity
 
         # A display name to set for the run. If not set, we will use the Job ID as the
-        #   name.
+        # name.
         sig { returns(T.nilable(String)) }
         attr_accessor :name
 
         # A list of tags to be attached to the newly created run. These tags are passed
-        #   through directly to WandB. Some default tags are generated by OpenAI:
-        #   "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
+        # through directly to WandB. Some default tags are generated by OpenAI:
+        # "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
         sig { returns(T.nilable(T::Array[String])) }
         attr_reader :tags
 
@@ -29,9 +29,9 @@ module OpenAI
         attr_writer :tags
 
         # The settings for your integration with Weights and Biases. This payload
-        #   specifies the project that metrics will be sent to. Optionally, you can set an
-        #   explicit display name for your run, add tags to your run, and set a default
-        #   entity (team, username, etc) to be associated with your run.
+        # specifies the project that metrics will be sent to. Optionally, you can set an
+        # explicit display name for your run, add tags to your run, and set a default
+        # entity (team, username, etc) to be associated with your run.
         sig do
           params(project: String, entity: T.nilable(String), name: T.nilable(String), tags: T::Array[String])
             .returns(T.attached_class)
diff --git a/rbi/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration_object.rbi b/rbi/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration_object.rbi
index a40e4f11..5c771091 100644
--- a/rbi/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration_object.rbi
+++ b/rbi/lib/openai/models/fine_tuning/fine_tuning_job_wandb_integration_object.rbi
@@ -9,9 +9,9 @@ module OpenAI
         attr_accessor :type
 
         # The settings for your integration with Weights and Biases. This payload
-        #   specifies the project that metrics will be sent to. Optionally, you can set an
-        #   explicit display name for your run, add tags to your run, and set a default
-        #   entity (team, username, etc) to be associated with your run.
+        # specifies the project that metrics will be sent to. Optionally, you can set an
+        # explicit display name for your run, add tags to your run, and set a default
+        # entity (team, username, etc) to be associated with your run.
         sig { returns(OpenAI::Models::FineTuning::FineTuningJobWandbIntegration) }
         attr_reader :wandb
 
diff --git a/rbi/lib/openai/models/fine_tuning/job_create_params.rbi b/rbi/lib/openai/models/fine_tuning/job_create_params.rbi
index 8a30d533..4acc7f38 100644
--- a/rbi/lib/openai/models/fine_tuning/job_create_params.rbi
+++ b/rbi/lib/openai/models/fine_tuning/job_create_params.rbi
@@ -8,32 +8,32 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # The name of the model to fine-tune. You can select one of the
-        #   [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
+        # [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
         sig { returns(T.any(String, OpenAI::Models::FineTuning::JobCreateParams::Model::OrSymbol)) }
         attr_accessor :model
 
         # The ID of an uploaded file that contains training data.
         #
-        #   See [upload file](https://platform.openai.com/docs/api-reference/files/create)
-        #   for how to upload a file.
+        # See [upload file](https://platform.openai.com/docs/api-reference/files/create)
+        # for how to upload a file.
         #
-        #   Your dataset must be formatted as a JSONL file. Additionally, you must upload
-        #   your file with the purpose `fine-tune`.
+        # Your dataset must be formatted as a JSONL file. Additionally, you must upload
+        # your file with the purpose `fine-tune`.
         #
-        #   The contents of the file should differ depending on if the model uses the
-        #   [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input),
-        #   [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
-        #   format, or if the fine-tuning method uses the
-        #   [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
-        #   format.
+        # The contents of the file should differ depending on if the model uses the
+        # [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input),
+        # [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
+        # format, or if the fine-tuning method uses the
+        # [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
+        # format.
         #
-        #   See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
-        #   for more details.
+        # See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
+        # for more details.
         sig { returns(String) }
         attr_accessor :training_file
 
         # The hyperparameters used for the fine-tuning job. This value is now deprecated
-        #   in favor of `method`, and should be passed in under the `method` parameter.
+        # in favor of `method`, and should be passed in under the `method` parameter.
         sig { returns(T.nilable(OpenAI::Models::FineTuning::JobCreateParams::Hyperparameters)) }
         attr_reader :hyperparameters
 
@@ -50,11 +50,11 @@ module OpenAI
         attr_accessor :integrations
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
@@ -68,31 +68,31 @@ module OpenAI
         attr_writer :method_
 
         # The seed controls the reproducibility of the job. Passing in the same seed and
-        #   job parameters should produce the same results, but may differ in rare cases. If
-        #   a seed is not specified, one will be generated for you.
+        # job parameters should produce the same results, but may differ in rare cases. If
+        # a seed is not specified, one will be generated for you.
         sig { returns(T.nilable(Integer)) }
         attr_accessor :seed
 
         # A string of up to 64 characters that will be added to your fine-tuned model
-        #   name.
+        # name.
         #
-        #   For example, a `suffix` of "custom-model-name" would produce a model name like
-        #   `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`.
+        # For example, a `suffix` of "custom-model-name" would produce a model name like
+        # `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`.
         sig { returns(T.nilable(String)) }
         attr_accessor :suffix
 
         # The ID of an uploaded file that contains validation data.
         #
-        #   If you provide this file, the data is used to generate validation metrics
-        #   periodically during fine-tuning. These metrics can be viewed in the fine-tuning
-        #   results file. The same data should not be present in both train and validation
-        #   files.
+        # If you provide this file, the data is used to generate validation metrics
+        # periodically during fine-tuning. These metrics can be viewed in the fine-tuning
+        # results file. The same data should not be present in both train and validation
+        # files.
         #
-        #   Your dataset must be formatted as a JSONL file. You must upload your file with
-        #   the purpose `fine-tune`.
+        # Your dataset must be formatted as a JSONL file. You must upload your file with
+        # the purpose `fine-tune`.
         #
-        #   See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
-        #   for more details.
+        # See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
+        # for more details.
         sig { returns(T.nilable(String)) }
         attr_accessor :validation_file
 
@@ -145,7 +145,7 @@ module OpenAI
         def to_hash; end
 
         # The name of the model to fine-tune. You can select one of the
-        #   [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
+        # [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
         module Model
           extend OpenAI::Internal::Type::Union
 
@@ -164,7 +164,7 @@ module OpenAI
 
         class Hyperparameters < OpenAI::Internal::Type::BaseModel
           # Number of examples in each batch. A larger batch size means that model
-          #   parameters are updated less frequently, but with lower variance.
+          # parameters are updated less frequently, but with lower variance.
           sig { returns(T.nilable(T.any(Symbol, Integer))) }
           attr_reader :batch_size
 
@@ -172,7 +172,7 @@ module OpenAI
           attr_writer :batch_size
 
           # Scaling factor for the learning rate. A smaller learning rate may be useful to
-          #   avoid overfitting.
+          # avoid overfitting.
           sig { returns(T.nilable(T.any(Symbol, Float))) }
           attr_reader :learning_rate_multiplier
 
@@ -180,7 +180,7 @@ module OpenAI
           attr_writer :learning_rate_multiplier
 
           # The number of epochs to train the model for. An epoch refers to one full cycle
-          #   through the training dataset.
+          # through the training dataset.
           sig { returns(T.nilable(T.any(Symbol, Integer))) }
           attr_reader :n_epochs
 
@@ -188,7 +188,7 @@ module OpenAI
           attr_writer :n_epochs
 
           # The hyperparameters used for the fine-tuning job. This value is now deprecated
-          #   in favor of `method`, and should be passed in under the `method` parameter.
+          # in favor of `method`, and should be passed in under the `method` parameter.
           sig do
             params(
               batch_size: T.any(Symbol, Integer),
@@ -212,7 +212,7 @@ module OpenAI
           def to_hash; end
 
           # Number of examples in each batch. A larger batch size means that model
-          #   parameters are updated less frequently, but with lower variance.
+          # parameters are updated less frequently, but with lower variance.
           module BatchSize
             extend OpenAI::Internal::Type::Union
 
@@ -221,7 +221,7 @@ module OpenAI
           end
 
           # Scaling factor for the learning rate. A smaller learning rate may be useful to
-          #   avoid overfitting.
+          # avoid overfitting.
           module LearningRateMultiplier
             extend OpenAI::Internal::Type::Union
 
@@ -230,7 +230,7 @@ module OpenAI
           end
 
           # The number of epochs to train the model for. An epoch refers to one full cycle
-          #   through the training dataset.
+          # through the training dataset.
           module NEpochs
             extend OpenAI::Internal::Type::Union
 
@@ -241,14 +241,14 @@ module OpenAI
 
         class Integration < OpenAI::Internal::Type::BaseModel
           # The type of integration to enable. Currently, only "wandb" (Weights and Biases)
-          #   is supported.
+          # is supported.
           sig { returns(Symbol) }
           attr_accessor :type
 
           # The settings for your integration with Weights and Biases. This payload
-          #   specifies the project that metrics will be sent to. Optionally, you can set an
-          #   explicit display name for your run, add tags to your run, and set a default
-          #   entity (team, username, etc) to be associated with your run.
+          # specifies the project that metrics will be sent to. Optionally, you can set an
+          # explicit display name for your run, add tags to your run, and set a default
+          # entity (team, username, etc) to be associated with your run.
           sig { returns(OpenAI::Models::FineTuning::JobCreateParams::Integration::Wandb) }
           attr_reader :wandb
 
@@ -278,19 +278,19 @@ module OpenAI
             attr_accessor :project
 
             # The entity to use for the run. This allows you to set the team or username of
-            #   the WandB user that you would like associated with the run. If not set, the
-            #   default entity for the registered WandB API key is used.
+            # the WandB user that you would like associated with the run. If not set, the
+            # default entity for the registered WandB API key is used.
             sig { returns(T.nilable(String)) }
             attr_accessor :entity
 
             # A display name to set for the run. If not set, we will use the Job ID as the
-            #   name.
+            # name.
             sig { returns(T.nilable(String)) }
             attr_accessor :name
 
             # A list of tags to be attached to the newly created run. These tags are passed
-            #   through directly to WandB. Some default tags are generated by OpenAI:
-            #   "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
+            # through directly to WandB. Some default tags are generated by OpenAI:
+            # "openai/finetune", "openai/{base-model}", "openai/{ftjob-abcdef}".
             sig { returns(T.nilable(T::Array[String])) }
             attr_reader :tags
 
@@ -298,9 +298,9 @@ module OpenAI
             attr_writer :tags
 
             # The settings for your integration with Weights and Biases. This payload
-            #   specifies the project that metrics will be sent to. Optionally, you can set an
-            #   explicit display name for your run, add tags to your run, and set a default
-            #   entity (team, username, etc) to be associated with your run.
+            # specifies the project that metrics will be sent to. Optionally, you can set an
+            # explicit display name for your run, add tags to your run, and set a default
+            # entity (team, username, etc) to be associated with your run.
             sig do
               params(
                 project: String,
@@ -414,7 +414,7 @@ module OpenAI
 
             class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               sig { returns(T.nilable(T.any(Symbol, Integer))) }
               attr_reader :batch_size
 
@@ -422,7 +422,7 @@ module OpenAI
               attr_writer :batch_size
 
               # The beta value for the DPO method. A higher beta value will increase the weight
-              #   of the penalty between the policy and reference model.
+              # of the penalty between the policy and reference model.
               sig { returns(T.nilable(T.any(Symbol, Float))) }
               attr_reader :beta
 
@@ -430,7 +430,7 @@ module OpenAI
               attr_writer :beta
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               sig { returns(T.nilable(T.any(Symbol, Float))) }
               attr_reader :learning_rate_multiplier
 
@@ -438,7 +438,7 @@ module OpenAI
               attr_writer :learning_rate_multiplier
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               sig { returns(T.nilable(T.any(Symbol, Integer))) }
               attr_reader :n_epochs
 
@@ -471,7 +471,7 @@ module OpenAI
               def to_hash; end
 
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               module BatchSize
                 extend OpenAI::Internal::Type::Union
 
@@ -480,7 +480,7 @@ module OpenAI
               end
 
               # The beta value for the DPO method. A higher beta value will increase the weight
-              #   of the penalty between the policy and reference model.
+              # of the penalty between the policy and reference model.
               module Beta
                 extend OpenAI::Internal::Type::Union
 
@@ -489,7 +489,7 @@ module OpenAI
               end
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               module LearningRateMultiplier
                 extend OpenAI::Internal::Type::Union
 
@@ -498,7 +498,7 @@ module OpenAI
               end
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               module NEpochs
                 extend OpenAI::Internal::Type::Union
 
@@ -546,7 +546,7 @@ module OpenAI
 
             class Hyperparameters < OpenAI::Internal::Type::BaseModel
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               sig { returns(T.nilable(T.any(Symbol, Integer))) }
               attr_reader :batch_size
 
@@ -554,7 +554,7 @@ module OpenAI
               attr_writer :batch_size
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               sig { returns(T.nilable(T.any(Symbol, Float))) }
               attr_reader :learning_rate_multiplier
 
@@ -562,7 +562,7 @@ module OpenAI
               attr_writer :learning_rate_multiplier
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               sig { returns(T.nilable(T.any(Symbol, Integer))) }
               attr_reader :n_epochs
 
@@ -593,7 +593,7 @@ module OpenAI
               def to_hash; end
 
               # Number of examples in each batch. A larger batch size means that model
-              #   parameters are updated less frequently, but with lower variance.
+              # parameters are updated less frequently, but with lower variance.
               module BatchSize
                 extend OpenAI::Internal::Type::Union
 
@@ -602,7 +602,7 @@ module OpenAI
               end
 
               # Scaling factor for the learning rate. A smaller learning rate may be useful to
-              #   avoid overfitting.
+              # avoid overfitting.
               module LearningRateMultiplier
                 extend OpenAI::Internal::Type::Union
 
@@ -611,7 +611,7 @@ module OpenAI
               end
 
               # The number of epochs to train the model for. An epoch refers to one full cycle
-              #   through the training dataset.
+              # through the training dataset.
               module NEpochs
                 extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/fine_tuning/job_list_params.rbi b/rbi/lib/openai/models/fine_tuning/job_list_params.rbi
index 7b8bea48..49bc0f41 100644
--- a/rbi/lib/openai/models/fine_tuning/job_list_params.rbi
+++ b/rbi/lib/openai/models/fine_tuning/job_list_params.rbi
@@ -22,7 +22,7 @@ module OpenAI
         attr_writer :limit
 
         # Optional metadata filter. To filter, use the syntax `metadata[k]=v`.
-        #   Alternatively, set `metadata=null` to indicate no metadata.
+        # Alternatively, set `metadata=null` to indicate no metadata.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
diff --git a/rbi/lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rbi b/rbi/lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rbi
index 06fb98b6..7c253eca 100644
--- a/rbi/lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rbi
+++ b/rbi/lib/openai/models/fine_tuning/jobs/fine_tuning_job_checkpoint.rbi
@@ -42,7 +42,7 @@ module OpenAI
           attr_accessor :step_number
 
           # The `fine_tuning.job.checkpoint` object represents a model checkpoint for a
-          #   fine-tuning job that is ready to use.
+          # fine-tuning job that is ready to use.
           sig do
             params(
               id: String,
diff --git a/rbi/lib/openai/models/function_definition.rbi b/rbi/lib/openai/models/function_definition.rbi
index cb9eeb56..0351f239 100644
--- a/rbi/lib/openai/models/function_definition.rbi
+++ b/rbi/lib/openai/models/function_definition.rbi
@@ -4,12 +4,12 @@ module OpenAI
   module Models
     class FunctionDefinition < OpenAI::Internal::Type::BaseModel
       # The name of the function to be called. Must be a-z, A-Z, 0-9, or contain
-      #   underscores and dashes, with a maximum length of 64.
+      # underscores and dashes, with a maximum length of 64.
       sig { returns(String) }
       attr_accessor :name
 
       # A description of what the function does, used by the model to choose when and
-      #   how to call the function.
+      # how to call the function.
       sig { returns(T.nilable(String)) }
       attr_reader :description
 
@@ -17,12 +17,12 @@ module OpenAI
       attr_writer :description
 
       # The parameters the functions accepts, described as a JSON Schema object. See the
-      #   [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
-      #   and the
-      #   [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
-      #   documentation about the format.
+      # [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
+      # and the
+      # [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
+      # documentation about the format.
       #
-      #   Omitting `parameters` defines a function with an empty parameter list.
+      # Omitting `parameters` defines a function with an empty parameter list.
       sig { returns(T.nilable(T::Hash[Symbol, T.anything])) }
       attr_reader :parameters
 
@@ -30,10 +30,10 @@ module OpenAI
       attr_writer :parameters
 
       # Whether to enable strict schema adherence when generating the function call. If
-      #   set to true, the model will follow the exact schema defined in the `parameters`
-      #   field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn
-      #   more about Structured Outputs in the
-      #   [function calling guide](docs/guides/function-calling).
+      # set to true, the model will follow the exact schema defined in the `parameters`
+      # field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn
+      # more about Structured Outputs in the
+      # [function calling guide](docs/guides/function-calling).
       sig { returns(T.nilable(T::Boolean)) }
       attr_accessor :strict
 
diff --git a/rbi/lib/openai/models/image.rbi b/rbi/lib/openai/models/image.rbi
index 9469de4c..3a2f3c67 100644
--- a/rbi/lib/openai/models/image.rbi
+++ b/rbi/lib/openai/models/image.rbi
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     class Image < OpenAI::Internal::Type::BaseModel
       # The base64-encoded JSON of the generated image, if `response_format` is
-      #   `b64_json`.
+      # `b64_json`.
       sig { returns(T.nilable(String)) }
       attr_reader :b64_json
 
@@ -12,7 +12,7 @@ module OpenAI
       attr_writer :b64_json
 
       # The prompt that was used to generate the image, if there was any revision to the
-      #   prompt.
+      # prompt.
       sig { returns(T.nilable(String)) }
       attr_reader :revised_prompt
 
diff --git a/rbi/lib/openai/models/image_create_variation_params.rbi b/rbi/lib/openai/models/image_create_variation_params.rbi
index 9a1061c3..59f2bd84 100644
--- a/rbi/lib/openai/models/image_create_variation_params.rbi
+++ b/rbi/lib/openai/models/image_create_variation_params.rbi
@@ -7,34 +7,34 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # The image to use as the basis for the variation(s). Must be a valid PNG file,
-      #   less than 4MB, and square.
+      # less than 4MB, and square.
       sig { returns(T.any(IO, StringIO)) }
       attr_accessor :image
 
       # The model to use for image generation. Only `dall-e-2` is supported at this
-      #   time.
+      # time.
       sig { returns(T.nilable(T.any(String, OpenAI::Models::ImageModel::OrSymbol))) }
       attr_accessor :model
 
       # The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
-      #   `n=1` is supported.
+      # `n=1` is supported.
       sig { returns(T.nilable(Integer)) }
       attr_accessor :n
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       sig { returns(T.nilable(OpenAI::Models::ImageCreateVariationParams::ResponseFormat::OrSymbol)) }
       attr_accessor :response_format
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024`.
+      # `1024x1024`.
       sig { returns(T.nilable(OpenAI::Models::ImageCreateVariationParams::Size::OrSymbol)) }
       attr_accessor :size
 
       # A unique identifier representing your end-user, which can help OpenAI to monitor
-      #   and detect abuse.
-      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      # and detect abuse.
+      # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       sig { returns(T.nilable(String)) }
       attr_reader :user
 
@@ -81,7 +81,7 @@ module OpenAI
       def to_hash; end
 
       # The model to use for image generation. Only `dall-e-2` is supported at this
-      #   time.
+      # time.
       module Model
         extend OpenAI::Internal::Type::Union
 
@@ -90,8 +90,8 @@ module OpenAI
       end
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       module ResponseFormat
         extend OpenAI::Internal::Type::Enum
 
@@ -107,7 +107,7 @@ module OpenAI
       end
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024`.
+      # `1024x1024`.
       module Size
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/image_edit_params.rbi b/rbi/lib/openai/models/image_edit_params.rbi
index 58bf5ddd..8d4b36be 100644
--- a/rbi/lib/openai/models/image_edit_params.rbi
+++ b/rbi/lib/openai/models/image_edit_params.rbi
@@ -7,18 +7,18 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask
-      #   is not provided, image must have transparency, which will be used as the mask.
+      # is not provided, image must have transparency, which will be used as the mask.
       sig { returns(T.any(IO, StringIO)) }
       attr_accessor :image
 
       # A text description of the desired image(s). The maximum length is 1000
-      #   characters.
+      # characters.
       sig { returns(String) }
       attr_accessor :prompt
 
       # An additional image whose fully transparent areas (e.g. where alpha is zero)
-      #   indicate where `image` should be edited. Must be a valid PNG file, less than
-      #   4MB, and have the same dimensions as `image`.
+      # indicate where `image` should be edited. Must be a valid PNG file, less than
+      # 4MB, and have the same dimensions as `image`.
       sig { returns(T.nilable(T.any(IO, StringIO))) }
       attr_reader :mask
 
@@ -26,7 +26,7 @@ module OpenAI
       attr_writer :mask
 
       # The model to use for image generation. Only `dall-e-2` is supported at this
-      #   time.
+      # time.
       sig { returns(T.nilable(T.any(String, OpenAI::Models::ImageModel::OrSymbol))) }
       attr_accessor :model
 
@@ -35,19 +35,19 @@ module OpenAI
       attr_accessor :n
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       sig { returns(T.nilable(OpenAI::Models::ImageEditParams::ResponseFormat::OrSymbol)) }
       attr_accessor :response_format
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024`.
+      # `1024x1024`.
       sig { returns(T.nilable(OpenAI::Models::ImageEditParams::Size::OrSymbol)) }
       attr_accessor :size
 
       # A unique identifier representing your end-user, which can help OpenAI to monitor
-      #   and detect abuse.
-      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      # and detect abuse.
+      # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       sig { returns(T.nilable(String)) }
       attr_reader :user
 
@@ -98,7 +98,7 @@ module OpenAI
       def to_hash; end
 
       # The model to use for image generation. Only `dall-e-2` is supported at this
-      #   time.
+      # time.
       module Model
         extend OpenAI::Internal::Type::Union
 
@@ -107,8 +107,8 @@ module OpenAI
       end
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       module ResponseFormat
         extend OpenAI::Internal::Type::Enum
 
@@ -124,7 +124,7 @@ module OpenAI
       end
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024`.
+      # `1024x1024`.
       module Size
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/image_generate_params.rbi b/rbi/lib/openai/models/image_generate_params.rbi
index b03fd35e..c10c716c 100644
--- a/rbi/lib/openai/models/image_generate_params.rbi
+++ b/rbi/lib/openai/models/image_generate_params.rbi
@@ -7,7 +7,7 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # A text description of the desired image(s). The maximum length is 1000
-      #   characters for `dall-e-2` and 4000 characters for `dall-e-3`.
+      # characters for `dall-e-2` and 4000 characters for `dall-e-3`.
       sig { returns(String) }
       attr_accessor :prompt
 
@@ -16,13 +16,13 @@ module OpenAI
       attr_accessor :model
 
       # The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
-      #   `n=1` is supported.
+      # `n=1` is supported.
       sig { returns(T.nilable(Integer)) }
       attr_accessor :n
 
       # The quality of the image that will be generated. `hd` creates images with finer
-      #   details and greater consistency across the image. This param is only supported
-      #   for `dall-e-3`.
+      # details and greater consistency across the image. This param is only supported
+      # for `dall-e-3`.
       sig { returns(T.nilable(OpenAI::Models::ImageGenerateParams::Quality::OrSymbol)) }
       attr_reader :quality
 
@@ -30,27 +30,27 @@ module OpenAI
       attr_writer :quality
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       sig { returns(T.nilable(OpenAI::Models::ImageGenerateParams::ResponseFormat::OrSymbol)) }
       attr_accessor :response_format
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
-      #   `1024x1792` for `dall-e-3` models.
+      # `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
+      # `1024x1792` for `dall-e-3` models.
       sig { returns(T.nilable(OpenAI::Models::ImageGenerateParams::Size::OrSymbol)) }
       attr_accessor :size
 
       # The style of the generated images. Must be one of `vivid` or `natural`. Vivid
-      #   causes the model to lean towards generating hyper-real and dramatic images.
-      #   Natural causes the model to produce more natural, less hyper-real looking
-      #   images. This param is only supported for `dall-e-3`.
+      # causes the model to lean towards generating hyper-real and dramatic images.
+      # Natural causes the model to produce more natural, less hyper-real looking
+      # images. This param is only supported for `dall-e-3`.
       sig { returns(T.nilable(OpenAI::Models::ImageGenerateParams::Style::OrSymbol)) }
       attr_accessor :style
 
       # A unique identifier representing your end-user, which can help OpenAI to monitor
-      #   and detect abuse.
-      #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+      # and detect abuse.
+      # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
       sig { returns(T.nilable(String)) }
       attr_reader :user
 
@@ -109,8 +109,8 @@ module OpenAI
       end
 
       # The quality of the image that will be generated. `hd` creates images with finer
-      #   details and greater consistency across the image. This param is only supported
-      #   for `dall-e-3`.
+      # details and greater consistency across the image. This param is only supported
+      # for `dall-e-3`.
       module Quality
         extend OpenAI::Internal::Type::Enum
 
@@ -126,8 +126,8 @@ module OpenAI
       end
 
       # The format in which the generated images are returned. Must be one of `url` or
-      #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-      #   generated.
+      # `b64_json`. URLs are only valid for 60 minutes after the image has been
+      # generated.
       module ResponseFormat
         extend OpenAI::Internal::Type::Enum
 
@@ -143,8 +143,8 @@ module OpenAI
       end
 
       # The size of the generated images. Must be one of `256x256`, `512x512`, or
-      #   `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
-      #   `1024x1792` for `dall-e-3` models.
+      # `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
+      # `1024x1792` for `dall-e-3` models.
       module Size
         extend OpenAI::Internal::Type::Enum
 
@@ -163,9 +163,9 @@ module OpenAI
       end
 
       # The style of the generated images. Must be one of `vivid` or `natural`. Vivid
-      #   causes the model to lean towards generating hyper-real and dramatic images.
-      #   Natural causes the model to produce more natural, less hyper-real looking
-      #   images. This param is only supported for `dall-e-3`.
+      # causes the model to lean towards generating hyper-real and dramatic images.
+      # Natural causes the model to produce more natural, less hyper-real looking
+      # images. This param is only supported for `dall-e-3`.
       module Style
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/moderation.rbi b/rbi/lib/openai/models/moderation.rbi
index 0850f88c..03bc7cb0 100644
--- a/rbi/lib/openai/models/moderation.rbi
+++ b/rbi/lib/openai/models/moderation.rbi
@@ -59,59 +59,59 @@ module OpenAI
 
       class Categories < OpenAI::Internal::Type::BaseModel
         # Content that expresses, incites, or promotes harassing language towards any
-        #   target.
+        # target.
         sig { returns(T::Boolean) }
         attr_accessor :harassment
 
         # Harassment content that also includes violence or serious harm towards any
-        #   target.
+        # target.
         sig { returns(T::Boolean) }
         attr_accessor :harassment_threatening
 
         # Content that expresses, incites, or promotes hate based on race, gender,
-        #   ethnicity, religion, nationality, sexual orientation, disability status, or
-        #   caste. Hateful content aimed at non-protected groups (e.g., chess players) is
-        #   harassment.
+        # ethnicity, religion, nationality, sexual orientation, disability status, or
+        # caste. Hateful content aimed at non-protected groups (e.g., chess players) is
+        # harassment.
         sig { returns(T::Boolean) }
         attr_accessor :hate
 
         # Hateful content that also includes violence or serious harm towards the targeted
-        #   group based on race, gender, ethnicity, religion, nationality, sexual
-        #   orientation, disability status, or caste.
+        # group based on race, gender, ethnicity, religion, nationality, sexual
+        # orientation, disability status, or caste.
         sig { returns(T::Boolean) }
         attr_accessor :hate_threatening
 
         # Content that includes instructions or advice that facilitate the planning or
-        #   execution of wrongdoing, or that gives advice or instruction on how to commit
-        #   illicit acts. For example, "how to shoplift" would fit this category.
+        # execution of wrongdoing, or that gives advice or instruction on how to commit
+        # illicit acts. For example, "how to shoplift" would fit this category.
         sig { returns(T.nilable(T::Boolean)) }
         attr_accessor :illicit
 
         # Content that includes instructions or advice that facilitate the planning or
-        #   execution of wrongdoing that also includes violence, or that gives advice or
-        #   instruction on the procurement of any weapon.
+        # execution of wrongdoing that also includes violence, or that gives advice or
+        # instruction on the procurement of any weapon.
         sig { returns(T.nilable(T::Boolean)) }
         attr_accessor :illicit_violent
 
         # Content that promotes, encourages, or depicts acts of self-harm, such as
-        #   suicide, cutting, and eating disorders.
+        # suicide, cutting, and eating disorders.
         sig { returns(T::Boolean) }
         attr_accessor :self_harm
 
         # Content that encourages performing acts of self-harm, such as suicide, cutting,
-        #   and eating disorders, or that gives instructions or advice on how to commit such
-        #   acts.
+        # and eating disorders, or that gives instructions or advice on how to commit such
+        # acts.
         sig { returns(T::Boolean) }
         attr_accessor :self_harm_instructions
 
         # Content where the speaker expresses that they are engaging or intend to engage
-        #   in acts of self-harm, such as suicide, cutting, and eating disorders.
+        # in acts of self-harm, such as suicide, cutting, and eating disorders.
         sig { returns(T::Boolean) }
         attr_accessor :self_harm_intent
 
         # Content meant to arouse sexual excitement, such as the description of sexual
-        #   activity, or that promotes sexual services (excluding sex education and
-        #   wellness).
+        # activity, or that promotes sexual services (excluding sex education and
+        # wellness).
         sig { returns(T::Boolean) }
         attr_accessor :sexual
 
diff --git a/rbi/lib/openai/models/moderation_create_params.rbi b/rbi/lib/openai/models/moderation_create_params.rbi
index 2c12c369..1e4e920e 100644
--- a/rbi/lib/openai/models/moderation_create_params.rbi
+++ b/rbi/lib/openai/models/moderation_create_params.rbi
@@ -7,7 +7,7 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # Input (or inputs) to classify. Can be a single string, an array of strings, or
-      #   an array of multi-modal input objects similar to other models.
+      # an array of multi-modal input objects similar to other models.
       sig do
         returns(
           T.any(
@@ -20,9 +20,9 @@ module OpenAI
       attr_accessor :input
 
       # The content moderation model you would like to use. Learn more in
-      #   [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
-      #   learn about available models
-      #   [here](https://platform.openai.com/docs/models#moderation).
+      # [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
+      # learn about available models
+      # [here](https://platform.openai.com/docs/models#moderation).
       sig { returns(T.nilable(T.any(String, OpenAI::Models::ModerationModel::OrSymbol))) }
       attr_reader :model
 
@@ -66,7 +66,7 @@ module OpenAI
       def to_hash; end
 
       # Input (or inputs) to classify. Can be a single string, an array of strings, or
-      #   an array of multi-modal input objects similar to other models.
+      # an array of multi-modal input objects similar to other models.
       module Input
         extend OpenAI::Internal::Type::Union
 
@@ -88,9 +88,9 @@ module OpenAI
       end
 
       # The content moderation model you would like to use. Learn more in
-      #   [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
-      #   learn about available models
-      #   [here](https://platform.openai.com/docs/models#moderation).
+      # [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
+      # learn about available models
+      # [here](https://platform.openai.com/docs/models#moderation).
       module Model
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/other_file_chunking_strategy_object.rbi b/rbi/lib/openai/models/other_file_chunking_strategy_object.rbi
index 10b6f90a..0d6d06b0 100644
--- a/rbi/lib/openai/models/other_file_chunking_strategy_object.rbi
+++ b/rbi/lib/openai/models/other_file_chunking_strategy_object.rbi
@@ -8,8 +8,8 @@ module OpenAI
       attr_accessor :type
 
       # This is returned when the chunking strategy is unknown. Typically, this is
-      #   because the file was indexed before the `chunking_strategy` concept was
-      #   introduced in the API.
+      # because the file was indexed before the `chunking_strategy` concept was
+      # introduced in the API.
       sig { params(type: Symbol).returns(T.attached_class) }
       def self.new(type: :other); end
 
diff --git a/rbi/lib/openai/models/reasoning.rbi b/rbi/lib/openai/models/reasoning.rbi
index f16ebf77..ec1c7ac3 100644
--- a/rbi/lib/openai/models/reasoning.rbi
+++ b/rbi/lib/openai/models/reasoning.rbi
@@ -5,25 +5,25 @@ module OpenAI
     class Reasoning < OpenAI::Internal::Type::BaseModel
       # **o-series models only**
       #
-      #   Constrains effort on reasoning for
-      #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-      #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-      #   result in faster responses and fewer tokens used on reasoning in a response.
+      # Constrains effort on reasoning for
+      # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+      # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+      # result in faster responses and fewer tokens used on reasoning in a response.
       sig { returns(T.nilable(OpenAI::Models::ReasoningEffort::OrSymbol)) }
       attr_accessor :effort
 
       # **computer_use_preview only**
       #
-      #   A summary of the reasoning performed by the model. This can be useful for
-      #   debugging and understanding the model's reasoning process. One of `concise` or
-      #   `detailed`.
+      # A summary of the reasoning performed by the model. This can be useful for
+      # debugging and understanding the model's reasoning process. One of `concise` or
+      # `detailed`.
       sig { returns(T.nilable(OpenAI::Models::Reasoning::GenerateSummary::OrSymbol)) }
       attr_accessor :generate_summary
 
       # **o-series models only**
       #
-      #   Configuration options for
-      #   [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+      # Configuration options for
+      # [reasoning models](https://platform.openai.com/docs/guides/reasoning).
       sig do
         params(
           effort: T.nilable(OpenAI::Models::ReasoningEffort::OrSymbol),
@@ -46,9 +46,9 @@ module OpenAI
 
       # **computer_use_preview only**
       #
-      #   A summary of the reasoning performed by the model. This can be useful for
-      #   debugging and understanding the model's reasoning process. One of `concise` or
-      #   `detailed`.
+      # A summary of the reasoning performed by the model. This can be useful for
+      # debugging and understanding the model's reasoning process. One of `concise` or
+      # `detailed`.
       module GenerateSummary
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/reasoning_effort.rbi b/rbi/lib/openai/models/reasoning_effort.rbi
index 723cc106..1459f48b 100644
--- a/rbi/lib/openai/models/reasoning_effort.rbi
+++ b/rbi/lib/openai/models/reasoning_effort.rbi
@@ -4,10 +4,10 @@ module OpenAI
   module Models
     # **o-series models only**
     #
-    #   Constrains effort on reasoning for
-    #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-    #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-    #   result in faster responses and fewer tokens used on reasoning in a response.
+    # Constrains effort on reasoning for
+    # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+    # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+    # result in faster responses and fewer tokens used on reasoning in a response.
     module ReasoningEffort
       extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/response_format_json_object.rbi b/rbi/lib/openai/models/response_format_json_object.rbi
index 707ef81c..caf63a9c 100644
--- a/rbi/lib/openai/models/response_format_json_object.rbi
+++ b/rbi/lib/openai/models/response_format_json_object.rbi
@@ -8,8 +8,8 @@ module OpenAI
       attr_accessor :type
 
       # JSON object response format. An older method of generating JSON responses. Using
-      #   `json_schema` is recommended for models that support it. Note that the model
-      #   will not generate JSON without a system or user message instructing it to do so.
+      # `json_schema` is recommended for models that support it. Note that the model
+      # will not generate JSON without a system or user message instructing it to do so.
       sig { params(type: Symbol).returns(T.attached_class) }
       def self.new(type: :json_object); end
 
diff --git a/rbi/lib/openai/models/response_format_json_schema.rbi b/rbi/lib/openai/models/response_format_json_schema.rbi
index 735f2c54..26bae2de 100644
--- a/rbi/lib/openai/models/response_format_json_schema.rbi
+++ b/rbi/lib/openai/models/response_format_json_schema.rbi
@@ -20,8 +20,8 @@ module OpenAI
       attr_accessor :type
 
       # JSON Schema response format. Used to generate structured JSON responses. Learn
-      #   more about
-      #   [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
+      # more about
+      # [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
       sig do
         params(
           json_schema: T.any(OpenAI::Models::ResponseFormatJSONSchema::JSONSchema, OpenAI::Internal::AnyHash),
@@ -36,12 +36,12 @@ module OpenAI
 
       class JSONSchema < OpenAI::Internal::Type::BaseModel
         # The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores
-        #   and dashes, with a maximum length of 64.
+        # and dashes, with a maximum length of 64.
         sig { returns(String) }
         attr_accessor :name
 
         # A description of what the response format is for, used by the model to determine
-        #   how to respond in the format.
+        # how to respond in the format.
         sig { returns(T.nilable(String)) }
         attr_reader :description
 
@@ -49,7 +49,7 @@ module OpenAI
         attr_writer :description
 
         # The schema for the response format, described as a JSON Schema object. Learn how
-        #   to build JSON schemas [here](https://json-schema.org/).
+        # to build JSON schemas [here](https://json-schema.org/).
         sig { returns(T.nilable(T::Hash[Symbol, T.anything])) }
         attr_reader :schema
 
@@ -57,10 +57,10 @@ module OpenAI
         attr_writer :schema
 
         # Whether to enable strict schema adherence when generating the output. If set to
-        #   true, the model will always follow the exact schema defined in the `schema`
-        #   field. Only a subset of JSON Schema is supported when `strict` is `true`. To
-        #   learn more, read the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # true, the model will always follow the exact schema defined in the `schema`
+        # field. Only a subset of JSON Schema is supported when `strict` is `true`. To
+        # learn more, read the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         sig { returns(T.nilable(T::Boolean)) }
         attr_accessor :strict
 
diff --git a/rbi/lib/openai/models/responses/computer_tool.rbi b/rbi/lib/openai/models/responses/computer_tool.rbi
index 88894312..c20479e3 100644
--- a/rbi/lib/openai/models/responses/computer_tool.rbi
+++ b/rbi/lib/openai/models/responses/computer_tool.rbi
@@ -21,7 +21,7 @@ module OpenAI
         attr_accessor :type
 
         # A tool that controls a virtual computer. Learn more about the
-        #   [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
+        # [computer tool](https://platform.openai.com/docs/guides/tools-computer-use).
         sig do
           params(
             display_height: Float,
diff --git a/rbi/lib/openai/models/responses/easy_input_message.rbi b/rbi/lib/openai/models/responses/easy_input_message.rbi
index e1819f46..6f2f6316 100644
--- a/rbi/lib/openai/models/responses/easy_input_message.rbi
+++ b/rbi/lib/openai/models/responses/easy_input_message.rbi
@@ -5,7 +5,7 @@ module OpenAI
     module Responses
       class EasyInputMessage < OpenAI::Internal::Type::BaseModel
         # Text, image, or audio input to the model, used to generate a response. Can also
-        #   contain previous assistant responses.
+        # contain previous assistant responses.
         sig do
           returns(
             T.any(
@@ -23,7 +23,7 @@ module OpenAI
         attr_accessor :content
 
         # The role of the message input. One of `user`, `assistant`, `system`, or
-        #   `developer`.
+        # `developer`.
         sig { returns(OpenAI::Models::Responses::EasyInputMessage::Role::OrSymbol) }
         attr_accessor :role
 
@@ -35,10 +35,10 @@ module OpenAI
         attr_writer :type
 
         # 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.
+        # 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.
         sig do
           params(
             content: T.any(
@@ -81,7 +81,7 @@ module OpenAI
         def to_hash; end
 
         # Text, image, or audio input to the model, used to generate a response. Can also
-        #   contain previous assistant responses.
+        # contain previous assistant responses.
         module Content
           extend OpenAI::Internal::Type::Union
 
@@ -104,7 +104,7 @@ module OpenAI
         end
 
         # The role of the message input. One of `user`, `assistant`, `system`, or
-        #   `developer`.
+        # `developer`.
         module Role
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/file_search_tool.rbi b/rbi/lib/openai/models/responses/file_search_tool.rbi
index 37314e5d..b16985a4 100644
--- a/rbi/lib/openai/models/responses/file_search_tool.rbi
+++ b/rbi/lib/openai/models/responses/file_search_tool.rbi
@@ -25,7 +25,7 @@ module OpenAI
         attr_writer :filters
 
         # The maximum number of results to return. This number should be between 1 and 50
-        #   inclusive.
+        # inclusive.
         sig { returns(T.nilable(Integer)) }
         attr_reader :max_num_results
 
@@ -45,8 +45,8 @@ module OpenAI
         attr_writer :ranking_options
 
         # A tool that searches for relevant content from uploaded files. Learn more about
-        #   the
-        #   [file search tool](https://platform.openai.com/docs/guides/tools-file-search).
+        # the
+        # [file search tool](https://platform.openai.com/docs/guides/tools-file-search).
         sig do
           params(
             vector_store_ids: T::Array[String],
@@ -97,8 +97,8 @@ module OpenAI
           attr_writer :ranker
 
           # The score threshold for the file search, a number between 0 and 1. Numbers
-          #   closer to 1 will attempt to return only the most relevant results, but may
-          #   return fewer results.
+          # closer to 1 will attempt to return only the most relevant results, but may
+          # return fewer results.
           sig { returns(T.nilable(Float)) }
           attr_reader :score_threshold
 
diff --git a/rbi/lib/openai/models/responses/function_tool.rbi b/rbi/lib/openai/models/responses/function_tool.rbi
index 16ed2997..5d1008c2 100644
--- a/rbi/lib/openai/models/responses/function_tool.rbi
+++ b/rbi/lib/openai/models/responses/function_tool.rbi
@@ -21,13 +21,13 @@ module OpenAI
         attr_accessor :type
 
         # A description of the function. Used by the model to determine whether or not to
-        #   call the function.
+        # call the function.
         sig { returns(T.nilable(String)) }
         attr_accessor :description
 
         # Defines a function in your own code the model can choose to call. Learn more
-        #   about
-        #   [function calling](https://platform.openai.com/docs/guides/function-calling).
+        # about
+        # [function calling](https://platform.openai.com/docs/guides/function-calling).
         sig do
           params(
             name: String,
diff --git a/rbi/lib/openai/models/responses/input_item_list_params.rbi b/rbi/lib/openai/models/responses/input_item_list_params.rbi
index 83fef973..302e530f 100644
--- a/rbi/lib/openai/models/responses/input_item_list_params.rbi
+++ b/rbi/lib/openai/models/responses/input_item_list_params.rbi
@@ -22,7 +22,7 @@ module OpenAI
         attr_writer :before
 
         # Additional fields to include in the response. See the `include` parameter for
-        #   Response creation above for more information.
+        # Response creation above for more information.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Responses::ResponseIncludable::OrSymbol])) }
         attr_reader :include
 
@@ -30,7 +30,7 @@ module OpenAI
         attr_writer :include
 
         # A limit on the number of objects to be returned. Limit can range between 1 and
-        #   100, and the default is 20.
+        # 100, and the default is 20.
         sig { returns(T.nilable(Integer)) }
         attr_reader :limit
 
@@ -39,8 +39,8 @@ module OpenAI
 
         # The order to return the input items in. Default is `asc`.
         #
-        #   - `asc`: Return the input items in ascending order.
-        #   - `desc`: Return the input items in descending order.
+        # - `asc`: Return the input items in ascending order.
+        # - `desc`: Return the input items in descending order.
         sig { returns(T.nilable(OpenAI::Models::Responses::InputItemListParams::Order::OrSymbol)) }
         attr_reader :order
 
@@ -77,8 +77,8 @@ module OpenAI
 
         # The order to return the input items in. Default is `asc`.
         #
-        #   - `asc`: Return the input items in ascending order.
-        #   - `desc`: Return the input items in descending order.
+        # - `asc`: Return the input items in ascending order.
+        # - `desc`: Return the input items in descending order.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response.rbi b/rbi/lib/openai/models/responses/response.rbi
index 99dd9aae..51372d8d 100644
--- a/rbi/lib/openai/models/responses/response.rbi
+++ b/rbi/lib/openai/models/responses/response.rbi
@@ -32,28 +32,28 @@ module OpenAI
         attr_writer :incomplete_details
 
         # Inserts a system (or developer) message as the first item in the model's
-        #   context.
+        # context.
         #
-        #   When using along with `previous_response_id`, the instructions from a previous
-        #   response will not be carried over to the next response. This makes it simple to
-        #   swap out system (or developer) messages in new responses.
+        # When using along with `previous_response_id`, the instructions from a previous
+        # response will not be carried over to the next response. This makes it simple to
+        # swap out system (or developer) messages in new responses.
         sig { returns(T.nilable(String)) }
         attr_accessor :instructions
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
         # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #   wide range of models with different capabilities, performance characteristics,
-        #   and price points. Refer to the
-        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #   available models.
+        # wide range of models with different capabilities, performance characteristics,
+        # and price points. Refer to the
+        # [model guide](https://platform.openai.com/docs/models) to browse and compare
+        # available models.
         sig do
           returns(
             T.any(String, OpenAI::Models::ChatModel::TaggedSymbol, OpenAI::Models::ResponsesModel::TaggedSymbol)
@@ -67,11 +67,11 @@ module OpenAI
 
         # An array of content items generated by the model.
         #
-        #   - The length and order of items in the `output` array is dependent on the
-        #     model's response.
-        #   - Rather than accessing the first item in the `output` array and assuming it's
-        #     an `assistant` message with the content generated by the model, you might
-        #     consider using the `output_text` property where supported in SDKs.
+        # - The length and order of items in the `output` array is dependent on the
+        #   model's response.
+        # - Rather than accessing the first item in the `output` array and assuming it's
+        #   an `assistant` message with the content generated by the model, you might
+        #   consider using the `output_text` property where supported in SDKs.
         sig do
           returns(
             T::Array[
@@ -93,15 +93,15 @@ module OpenAI
         attr_accessor :parallel_tool_calls
 
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic. We generally recommend altering this or `top_p` but
-        #   not both.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic. We generally recommend altering this or `top_p` but
+        # not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :temperature
 
         # How the model should select which tool (or tools) to use when generating a
-        #   response. See the `tools` parameter to see how to specify which tools the model
-        #   can call.
+        # response. See the `tools` parameter to see how to specify which tools the model
+        # can call.
         sig do
           returns(
             T.any(
@@ -114,19 +114,19 @@ module OpenAI
         attr_accessor :tool_choice
 
         # An array of tools the model may call while generating a response. You can
-        #   specify which tool to use by setting the `tool_choice` parameter.
+        # specify which tool to use by setting the `tool_choice` parameter.
         #
-        #   The two categories of tools you can provide the model are:
+        # The two categories of tools you can provide the model are:
         #
-        #   - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
-        #     capabilities, like
-        #     [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-        #     [file search](https://platform.openai.com/docs/guides/tools-file-search).
-        #     Learn more about
-        #     [built-in tools](https://platform.openai.com/docs/guides/tools).
-        #   - **Function calls (custom tools)**: Functions that are defined by you, enabling
-        #     the model to call your own code. Learn more about
-        #     [function calling](https://platform.openai.com/docs/guides/function-calling).
+        # - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+        #   capabilities, like
+        #   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+        #   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+        #   Learn more about
+        #   [built-in tools](https://platform.openai.com/docs/guides/tools).
+        # - **Function calls (custom tools)**: Functions that are defined by you, enabling
+        #   the model to call your own code. Learn more about
+        #   [function calling](https://platform.openai.com/docs/guides/function-calling).
         sig do
           returns(
             T::Array[
@@ -142,29 +142,29 @@ module OpenAI
         attr_accessor :tools
 
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or `temperature` but not both.
+        # We generally recommend altering this or `temperature` but not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :top_p
 
         # An upper bound for the number of tokens that can be generated for a response,
-        #   including visible output tokens and
-        #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+        # including visible output tokens and
+        # [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
         sig { returns(T.nilable(Integer)) }
         attr_accessor :max_output_tokens
 
         # The unique ID of the previous response to the model. Use this to create
-        #   multi-turn conversations. Learn more about
-        #   [conversation state](https://platform.openai.com/docs/guides/conversation-state).
+        # multi-turn conversations. Learn more about
+        # [conversation state](https://platform.openai.com/docs/guides/conversation-state).
         sig { returns(T.nilable(String)) }
         attr_accessor :previous_response_id
 
         # **o-series models only**
         #
-        #   Configuration options for
-        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+        # Configuration options for
+        # [reasoning models](https://platform.openai.com/docs/guides/reasoning).
         sig { returns(T.nilable(OpenAI::Models::Reasoning)) }
         attr_reader :reasoning
 
@@ -172,7 +172,7 @@ module OpenAI
         attr_writer :reasoning
 
         # The status of the response generation. One of `completed`, `failed`,
-        #   `in_progress`, or `incomplete`.
+        # `in_progress`, or `incomplete`.
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseStatus::TaggedSymbol)) }
         attr_reader :status
 
@@ -180,10 +180,10 @@ module OpenAI
         attr_writer :status
 
         # Configuration options for a text response from the model. Can be plain text or
-        #   structured JSON data. Learn more:
+        # structured JSON data. Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseTextConfig)) }
         attr_reader :text
 
@@ -192,16 +192,16 @@ module OpenAI
 
         # The truncation strategy to use for the model response.
         #
-        #   - `auto`: If the context of this response and previous ones exceeds the model's
-        #     context window size, the model will truncate the response to fit the context
-        #     window by dropping input items in the middle of the conversation.
-        #   - `disabled` (default): If a model response will exceed the context window size
-        #     for a model, the request will fail with a 400 error.
+        # - `auto`: If the context of this response and previous ones exceeds the model's
+        #   context window size, the model will truncate the response to fit the context
+        #   window by dropping input items in the middle of the conversation.
+        # - `disabled` (default): If a model response will exceed the context window size
+        #   for a model, the request will fail with a 400 error.
         sig { returns(T.nilable(OpenAI::Models::Responses::Response::Truncation::TaggedSymbol)) }
         attr_accessor :truncation
 
         # Represents token usage details including input tokens, output tokens, a
-        #   breakdown of output tokens, and the total tokens used.
+        # breakdown of output tokens, and the total tokens used.
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseUsage)) }
         attr_reader :usage
 
@@ -209,8 +209,8 @@ module OpenAI
         attr_writer :usage
 
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         sig { returns(T.nilable(String)) }
         attr_reader :user
 
@@ -380,8 +380,8 @@ module OpenAI
         end
 
         # How the model should select which tool (or tools) to use when generating a
-        #   response. See the `tools` parameter to see how to specify which tools the model
-        #   can call.
+        # response. See the `tools` parameter to see how to specify which tools the model
+        # can call.
         module ToolChoice
           extend OpenAI::Internal::Type::Union
 
@@ -396,11 +396,11 @@ module OpenAI
 
         # The truncation strategy to use for the model response.
         #
-        #   - `auto`: If the context of this response and previous ones exceeds the model's
-        #     context window size, the model will truncate the response to fit the context
-        #     window by dropping input items in the middle of the conversation.
-        #   - `disabled` (default): If a model response will exceed the context window size
-        #     for a model, the request will fail with a 400 error.
+        # - `auto`: If the context of this response and previous ones exceeds the model's
+        #   context window size, the model will truncate the response to fit the context
+        #   window by dropping input items in the middle of the conversation.
+        # - `disabled` (default): If a model response will exceed the context window size
+        #   for a model, the request will fail with a 400 error.
         module Truncation
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_computer_tool_call.rbi b/rbi/lib/openai/models/responses/response_computer_tool_call.rbi
index ccc7cf95..ba86d36e 100644
--- a/rbi/lib/openai/models/responses/response_computer_tool_call.rbi
+++ b/rbi/lib/openai/models/responses/response_computer_tool_call.rbi
@@ -35,7 +35,7 @@ module OpenAI
         attr_accessor :pending_safety_checks
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         sig { returns(OpenAI::Models::Responses::ResponseComputerToolCall::Status::OrSymbol) }
         attr_accessor :status
 
@@ -44,8 +44,8 @@ module OpenAI
         attr_accessor :type
 
         # A tool call to a computer use tool. See the
-        #   [computer use guide](https://platform.openai.com/docs/guides/tools-computer-use)
-        #   for more information.
+        # [computer use guide](https://platform.openai.com/docs/guides/tools-computer-use)
+        # for more information.
         sig do
           params(
             id: String,
@@ -101,12 +101,12 @@ module OpenAI
 
           class Click < OpenAI::Internal::Type::BaseModel
             # Indicates which mouse button was pressed during the click. One of `left`,
-            #   `right`, `wheel`, `back`, or `forward`.
+            # `right`, `wheel`, `back`, or `forward`.
             sig { returns(OpenAI::Models::Responses::ResponseComputerToolCall::Action::Click::Button::OrSymbol) }
             attr_accessor :button
 
             # Specifies the event type. For a click action, this property is always set to
-            #   `click`.
+            # `click`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -144,7 +144,7 @@ module OpenAI
             def to_hash; end
 
             # Indicates which mouse button was pressed during the click. One of `left`,
-            #   `right`, `wheel`, `back`, or `forward`.
+            # `right`, `wheel`, `back`, or `forward`.
             module Button
               extend OpenAI::Internal::Type::Enum
 
@@ -182,7 +182,7 @@ module OpenAI
 
           class DoubleClick < OpenAI::Internal::Type::BaseModel
             # Specifies the event type. For a double click action, this property is always set
-            #   to `double_click`.
+            # to `double_click`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -204,19 +204,19 @@ module OpenAI
 
           class Drag < OpenAI::Internal::Type::BaseModel
             # An array of coordinates representing the path of the drag action. Coordinates
-            #   will appear as an array of objects, eg
+            # will appear as an array of objects, eg
             #
-            #   ```
-            #   [
-            #     { x: 100, y: 200 },
-            #     { x: 200, y: 300 }
-            #   ]
-            #   ```
+            # ```
+            # [
+            #   { x: 100, y: 200 },
+            #   { x: 200, y: 300 }
+            # ]
+            # ```
             sig { returns(T::Array[OpenAI::Models::Responses::ResponseComputerToolCall::Action::Drag::Path]) }
             attr_accessor :path
 
             # Specifies the event type. For a drag action, this property is always set to
-            #   `drag`.
+            # `drag`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -258,12 +258,12 @@ module OpenAI
 
           class Keypress < OpenAI::Internal::Type::BaseModel
             # The combination of keys the model is requesting to be pressed. This is an array
-            #   of strings, each representing a key.
+            # of strings, each representing a key.
             sig { returns(T::Array[String]) }
             attr_accessor :keys
 
             # Specifies the event type. For a keypress action, this property is always set to
-            #   `keypress`.
+            # `keypress`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -277,7 +277,7 @@ module OpenAI
 
           class Move < OpenAI::Internal::Type::BaseModel
             # Specifies the event type. For a move action, this property is always set to
-            #   `move`.
+            # `move`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -299,7 +299,7 @@ module OpenAI
 
           class Screenshot < OpenAI::Internal::Type::BaseModel
             # Specifies the event type. For a screenshot action, this property is always set
-            #   to `screenshot`.
+            # to `screenshot`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -321,7 +321,7 @@ module OpenAI
             attr_accessor :scroll_y
 
             # Specifies the event type. For a scroll action, this property is always set to
-            #   `scroll`.
+            # `scroll`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -352,7 +352,7 @@ module OpenAI
             attr_accessor :text
 
             # Specifies the event type. For a type action, this property is always set to
-            #   `type`.
+            # `type`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -366,7 +366,7 @@ module OpenAI
 
           class Wait < OpenAI::Internal::Type::BaseModel
             # Specifies the event type. For a wait action, this property is always set to
-            #   `wait`.
+            # `wait`.
             sig { returns(Symbol) }
             attr_accessor :type
 
@@ -409,7 +409,7 @@ module OpenAI
         end
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_computer_tool_call_output_item.rbi b/rbi/lib/openai/models/responses/response_computer_tool_call_output_item.rbi
index cf267c21..64b2dc16 100644
--- a/rbi/lib/openai/models/responses/response_computer_tool_call_output_item.rbi
+++ b/rbi/lib/openai/models/responses/response_computer_tool_call_output_item.rbi
@@ -29,7 +29,7 @@ module OpenAI
         attr_accessor :type
 
         # The safety checks reported by the API that have been acknowledged by the
-        #   developer.
+        # developer.
         sig do
           returns(
             T.nilable(
@@ -53,7 +53,7 @@ module OpenAI
         attr_writer :acknowledged_safety_checks
 
         # The status of the message input. One of `in_progress`, `completed`, or
-        #   `incomplete`. Populated when input items are returned via API.
+        # `incomplete`. Populated when input items are returned via API.
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseComputerToolCallOutputItem::Status::TaggedSymbol)) }
         attr_reader :status
 
@@ -123,7 +123,7 @@ module OpenAI
         end
 
         # The status of the message input. One of `in_progress`, `completed`, or
-        #   `incomplete`. Populated when input items are returned via API.
+        # `incomplete`. Populated when input items are returned via API.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_computer_tool_call_output_screenshot.rbi b/rbi/lib/openai/models/responses/response_computer_tool_call_output_screenshot.rbi
index 5ece9b13..c95e0378 100644
--- a/rbi/lib/openai/models/responses/response_computer_tool_call_output_screenshot.rbi
+++ b/rbi/lib/openai/models/responses/response_computer_tool_call_output_screenshot.rbi
@@ -5,7 +5,7 @@ module OpenAI
     module Responses
       class ResponseComputerToolCallOutputScreenshot < OpenAI::Internal::Type::BaseModel
         # Specifies the event type. For a computer screenshot, this property is always set
-        #   to `computer_screenshot`.
+        # to `computer_screenshot`.
         sig { returns(Symbol) }
         attr_accessor :type
 
diff --git a/rbi/lib/openai/models/responses/response_create_params.rbi b/rbi/lib/openai/models/responses/response_create_params.rbi
index f45e18ea..4263b1b6 100644
--- a/rbi/lib/openai/models/responses/response_create_params.rbi
+++ b/rbi/lib/openai/models/responses/response_create_params.rbi
@@ -9,13 +9,13 @@ module OpenAI
 
         # Text, image, or file inputs to the model, used to generate a response.
         #
-        #   Learn more:
+        # Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Image inputs](https://platform.openai.com/docs/guides/images)
-        #   - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
-        #   - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
-        #   - [Function calling](https://platform.openai.com/docs/guides/function-calling)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Image inputs](https://platform.openai.com/docs/guides/images)
+        # - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
+        # - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
+        # - [Function calling](https://platform.openai.com/docs/guides/function-calling)
         sig do
           returns(
             T.any(
@@ -41,45 +41,45 @@ module OpenAI
         attr_accessor :input
 
         # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #   wide range of models with different capabilities, performance characteristics,
-        #   and price points. Refer to the
-        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #   available models.
+        # wide range of models with different capabilities, performance characteristics,
+        # and price points. Refer to the
+        # [model guide](https://platform.openai.com/docs/models) to browse and compare
+        # available models.
         sig { returns(T.any(String, OpenAI::Models::ChatModel::OrSymbol, OpenAI::Models::ResponsesModel::OrSymbol)) }
         attr_accessor :model
 
         # Specify additional output data to include in the model response. Currently
-        #   supported values are:
+        # supported values are:
         #
-        #   - `file_search_call.results`: Include the search results of the file search tool
-        #     call.
-        #   - `message.input_image.image_url`: Include image urls from the input message.
-        #   - `computer_call_output.output.image_url`: Include image urls from the computer
-        #     call output.
+        # - `file_search_call.results`: Include the search results of the file search tool
+        #   call.
+        # - `message.input_image.image_url`: Include image urls from the input message.
+        # - `computer_call_output.output.image_url`: Include image urls from the computer
+        #   call output.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Responses::ResponseIncludable::OrSymbol])) }
         attr_accessor :include
 
         # Inserts a system (or developer) message as the first item in the model's
-        #   context.
+        # context.
         #
-        #   When using along with `previous_response_id`, the instructions from a previous
-        #   response will not be carried over to the next response. This makes it simple to
-        #   swap out system (or developer) messages in new responses.
+        # When using along with `previous_response_id`, the instructions from a previous
+        # response will not be carried over to the next response. This makes it simple to
+        # swap out system (or developer) messages in new responses.
         sig { returns(T.nilable(String)) }
         attr_accessor :instructions
 
         # An upper bound for the number of tokens that can be generated for a response,
-        #   including visible output tokens and
-        #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+        # including visible output tokens and
+        # [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
         sig { returns(T.nilable(Integer)) }
         attr_accessor :max_output_tokens
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         sig { returns(T.nilable(T::Hash[Symbol, String])) }
         attr_accessor :metadata
 
@@ -88,15 +88,15 @@ module OpenAI
         attr_accessor :parallel_tool_calls
 
         # The unique ID of the previous response to the model. Use this to create
-        #   multi-turn conversations. Learn more about
-        #   [conversation state](https://platform.openai.com/docs/guides/conversation-state).
+        # multi-turn conversations. Learn more about
+        # [conversation state](https://platform.openai.com/docs/guides/conversation-state).
         sig { returns(T.nilable(String)) }
         attr_accessor :previous_response_id
 
         # **o-series models only**
         #
-        #   Configuration options for
-        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+        # Configuration options for
+        # [reasoning models](https://platform.openai.com/docs/guides/reasoning).
         sig { returns(T.nilable(OpenAI::Models::Reasoning)) }
         attr_reader :reasoning
 
@@ -108,17 +108,17 @@ module OpenAI
         attr_accessor :store
 
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic. We generally recommend altering this or `top_p` but
-        #   not both.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic. We generally recommend altering this or `top_p` but
+        # not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :temperature
 
         # Configuration options for a text response from the model. Can be plain text or
-        #   structured JSON data. Learn more:
+        # structured JSON data. Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseTextConfig)) }
         attr_reader :text
 
@@ -126,8 +126,8 @@ module OpenAI
         attr_writer :text
 
         # How the model should select which tool (or tools) to use when generating a
-        #   response. See the `tools` parameter to see how to specify which tools the model
-        #   can call.
+        # response. See the `tools` parameter to see how to specify which tools the model
+        # can call.
         sig do
           returns(
             T.nilable(
@@ -155,19 +155,19 @@ module OpenAI
         attr_writer :tool_choice
 
         # An array of tools the model may call while generating a response. You can
-        #   specify which tool to use by setting the `tool_choice` parameter.
+        # specify which tool to use by setting the `tool_choice` parameter.
         #
-        #   The two categories of tools you can provide the model are:
+        # The two categories of tools you can provide the model are:
         #
-        #   - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
-        #     capabilities, like
-        #     [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-        #     [file search](https://platform.openai.com/docs/guides/tools-file-search).
-        #     Learn more about
-        #     [built-in tools](https://platform.openai.com/docs/guides/tools).
-        #   - **Function calls (custom tools)**: Functions that are defined by you, enabling
-        #     the model to call your own code. Learn more about
-        #     [function calling](https://platform.openai.com/docs/guides/function-calling).
+        # - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+        #   capabilities, like
+        #   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+        #   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+        #   Learn more about
+        #   [built-in tools](https://platform.openai.com/docs/guides/tools).
+        # - **Function calls (custom tools)**: Functions that are defined by you, enabling
+        #   the model to call your own code. Learn more about
+        #   [function calling](https://platform.openai.com/docs/guides/function-calling).
         sig do
           returns(
             T.nilable(
@@ -201,26 +201,26 @@ module OpenAI
         attr_writer :tools
 
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or `temperature` but not both.
+        # We generally recommend altering this or `temperature` but not both.
         sig { returns(T.nilable(Float)) }
         attr_accessor :top_p
 
         # The truncation strategy to use for the model response.
         #
-        #   - `auto`: If the context of this response and previous ones exceeds the model's
-        #     context window size, the model will truncate the response to fit the context
-        #     window by dropping input items in the middle of the conversation.
-        #   - `disabled` (default): If a model response will exceed the context window size
-        #     for a model, the request will fail with a 400 error.
+        # - `auto`: If the context of this response and previous ones exceeds the model's
+        #   context window size, the model will truncate the response to fit the context
+        #   window by dropping input items in the middle of the conversation.
+        # - `disabled` (default): If a model response will exceed the context window size
+        #   for a model, the request will fail with a 400 error.
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseCreateParams::Truncation::OrSymbol)) }
         attr_accessor :truncation
 
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         sig { returns(T.nilable(String)) }
         attr_reader :user
 
@@ -358,13 +358,13 @@ module OpenAI
 
         # Text, image, or file inputs to the model, used to generate a response.
         #
-        #   Learn more:
+        # Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Image inputs](https://platform.openai.com/docs/guides/images)
-        #   - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
-        #   - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
-        #   - [Function calling](https://platform.openai.com/docs/guides/function-calling)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Image inputs](https://platform.openai.com/docs/guides/images)
+        # - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
+        # - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
+        # - [Function calling](https://platform.openai.com/docs/guides/function-calling)
         module Input
           extend OpenAI::Internal::Type::Union
 
@@ -395,8 +395,8 @@ module OpenAI
         end
 
         # How the model should select which tool (or tools) to use when generating a
-        #   response. See the `tools` parameter to see how to specify which tools the model
-        #   can call.
+        # response. See the `tools` parameter to see how to specify which tools the model
+        # can call.
         module ToolChoice
           extend OpenAI::Internal::Type::Union
 
@@ -411,11 +411,11 @@ module OpenAI
 
         # The truncation strategy to use for the model response.
         #
-        #   - `auto`: If the context of this response and previous ones exceeds the model's
-        #     context window size, the model will truncate the response to fit the context
-        #     window by dropping input items in the middle of the conversation.
-        #   - `disabled` (default): If a model response will exceed the context window size
-        #     for a model, the request will fail with a 400 error.
+        # - `auto`: If the context of this response and previous ones exceeds the model's
+        #   context window size, the model will truncate the response to fit the context
+        #   window by dropping input items in the middle of the conversation.
+        # - `disabled` (default): If a model response will exceed the context window size
+        #   for a model, the request will fail with a 400 error.
         module Truncation
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_file_search_tool_call.rbi b/rbi/lib/openai/models/responses/response_file_search_tool_call.rbi
index 7181116b..10068e96 100644
--- a/rbi/lib/openai/models/responses/response_file_search_tool_call.rbi
+++ b/rbi/lib/openai/models/responses/response_file_search_tool_call.rbi
@@ -13,7 +13,7 @@ module OpenAI
         attr_accessor :queries
 
         # The status of the file search tool call. One of `in_progress`, `searching`,
-        #   `incomplete` or `failed`,
+        # `incomplete` or `failed`,
         sig { returns(OpenAI::Models::Responses::ResponseFileSearchToolCall::Status::OrSymbol) }
         attr_accessor :status
 
@@ -26,8 +26,8 @@ module OpenAI
         attr_accessor :results
 
         # The results of a file search tool call. See the
-        #   [file search guide](https://platform.openai.com/docs/guides/tools-file-search)
-        #   for more information.
+        # [file search guide](https://platform.openai.com/docs/guides/tools-file-search)
+        # for more information.
         sig do
           params(
             id: String,
@@ -57,7 +57,7 @@ module OpenAI
         def to_hash; end
 
         # The status of the file search tool call. One of `in_progress`, `searching`,
-        #   `incomplete` or `failed`,
+        # `incomplete` or `failed`,
         module Status
           extend OpenAI::Internal::Type::Enum
 
@@ -82,10 +82,10 @@ module OpenAI
 
         class Result < OpenAI::Internal::Type::BaseModel
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard. Keys are strings with a maximum
-          #   length of 64 characters. Values are strings with a maximum length of 512
-          #   characters, booleans, or numbers.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard. Keys are strings with a maximum
+          # length of 64 characters. Values are strings with a maximum length of 512
+          # characters, booleans, or numbers.
           sig { returns(T.nilable(T::Hash[Symbol, T.any(String, Float, T::Boolean)])) }
           attr_accessor :attributes
 
diff --git a/rbi/lib/openai/models/responses/response_format_text_config.rbi b/rbi/lib/openai/models/responses/response_format_text_config.rbi
index 3fe12068..ae61d108 100644
--- a/rbi/lib/openai/models/responses/response_format_text_config.rbi
+++ b/rbi/lib/openai/models/responses/response_format_text_config.rbi
@@ -5,17 +5,17 @@ module OpenAI
     module Responses
       # An object specifying the format that the model must output.
       #
-      #   Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
-      #   ensures the model will match your supplied JSON schema. Learn more in the
-      #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+      # Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+      # ensures the model will match your supplied JSON schema. Learn more in the
+      # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
       #
-      #   The default format is `{ "type": "text" }` with no additional options.
+      # The default format is `{ "type": "text" }` with no additional options.
       #
-      #   **Not recommended for gpt-4o and newer models:**
+      # **Not recommended for gpt-4o and newer models:**
       #
-      #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-      #   ensures the message the model generates is valid JSON. Using `json_schema` is
-      #   preferred for models that support it.
+      # Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+      # ensures the message the model generates is valid JSON. Using `json_schema` is
+      # preferred for models that support it.
       module ResponseFormatTextConfig
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/responses/response_format_text_json_schema_config.rbi b/rbi/lib/openai/models/responses/response_format_text_json_schema_config.rbi
index 8a1756b0..25a553e6 100644
--- a/rbi/lib/openai/models/responses/response_format_text_json_schema_config.rbi
+++ b/rbi/lib/openai/models/responses/response_format_text_json_schema_config.rbi
@@ -5,12 +5,12 @@ module OpenAI
     module Responses
       class ResponseFormatTextJSONSchemaConfig < OpenAI::Internal::Type::BaseModel
         # The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores
-        #   and dashes, with a maximum length of 64.
+        # and dashes, with a maximum length of 64.
         sig { returns(String) }
         attr_accessor :name
 
         # The schema for the response format, described as a JSON Schema object. Learn how
-        #   to build JSON schemas [here](https://json-schema.org/).
+        # to build JSON schemas [here](https://json-schema.org/).
         sig { returns(T::Hash[Symbol, T.anything]) }
         attr_accessor :schema
 
@@ -19,7 +19,7 @@ module OpenAI
         attr_accessor :type
 
         # A description of what the response format is for, used by the model to determine
-        #   how to respond in the format.
+        # how to respond in the format.
         sig { returns(T.nilable(String)) }
         attr_reader :description
 
@@ -27,16 +27,16 @@ module OpenAI
         attr_writer :description
 
         # Whether to enable strict schema adherence when generating the output. If set to
-        #   true, the model will always follow the exact schema defined in the `schema`
-        #   field. Only a subset of JSON Schema is supported when `strict` is `true`. To
-        #   learn more, read the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # true, the model will always follow the exact schema defined in the `schema`
+        # field. Only a subset of JSON Schema is supported when `strict` is `true`. To
+        # learn more, read the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         sig { returns(T.nilable(T::Boolean)) }
         attr_accessor :strict
 
         # JSON Schema response format. Used to generate structured JSON responses. Learn
-        #   more about
-        #   [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
+        # more about
+        # [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
         sig do
           params(
             name: String,
diff --git a/rbi/lib/openai/models/responses/response_function_tool_call.rbi b/rbi/lib/openai/models/responses/response_function_tool_call.rbi
index f0a465e7..769270c2 100644
--- a/rbi/lib/openai/models/responses/response_function_tool_call.rbi
+++ b/rbi/lib/openai/models/responses/response_function_tool_call.rbi
@@ -28,7 +28,7 @@ module OpenAI
         attr_writer :id
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseFunctionToolCall::Status::OrSymbol)) }
         attr_reader :status
 
@@ -36,8 +36,8 @@ module OpenAI
         attr_writer :status
 
         # A tool call to run a function. See the
-        #   [function calling guide](https://platform.openai.com/docs/guides/function-calling)
-        #   for more information.
+        # [function calling guide](https://platform.openai.com/docs/guides/function-calling)
+        # for more information.
         sig do
           params(
             arguments: String,
@@ -67,7 +67,7 @@ module OpenAI
         def to_hash; end
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_function_tool_call_item.rbi b/rbi/lib/openai/models/responses/response_function_tool_call_item.rbi
index 79e881a7..7ed35c37 100644
--- a/rbi/lib/openai/models/responses/response_function_tool_call_item.rbi
+++ b/rbi/lib/openai/models/responses/response_function_tool_call_item.rbi
@@ -9,8 +9,8 @@ module OpenAI
         attr_accessor :id
 
         # A tool call to run a function. See the
-        #   [function calling guide](https://platform.openai.com/docs/guides/function-calling)
-        #   for more information.
+        # [function calling guide](https://platform.openai.com/docs/guides/function-calling)
+        # for more information.
         sig { params(id: String).returns(T.attached_class) }
         def self.new(id:); end
 
diff --git a/rbi/lib/openai/models/responses/response_function_tool_call_output_item.rbi b/rbi/lib/openai/models/responses/response_function_tool_call_output_item.rbi
index 398930d8..8f224c19 100644
--- a/rbi/lib/openai/models/responses/response_function_tool_call_output_item.rbi
+++ b/rbi/lib/openai/models/responses/response_function_tool_call_output_item.rbi
@@ -21,7 +21,7 @@ module OpenAI
         attr_accessor :type
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseFunctionToolCallOutputItem::Status::TaggedSymbol)) }
         attr_reader :status
 
@@ -55,7 +55,7 @@ module OpenAI
         def to_hash; end
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_function_web_search.rbi b/rbi/lib/openai/models/responses/response_function_web_search.rbi
index 92543e70..5bd85d43 100644
--- a/rbi/lib/openai/models/responses/response_function_web_search.rbi
+++ b/rbi/lib/openai/models/responses/response_function_web_search.rbi
@@ -17,8 +17,8 @@ module OpenAI
         attr_accessor :type
 
         # The results of a web search tool call. See the
-        #   [web search guide](https://platform.openai.com/docs/guides/tools-web-search) for
-        #   more information.
+        # [web search guide](https://platform.openai.com/docs/guides/tools-web-search) for
+        # more information.
         sig do
           params(
             id: String,
diff --git a/rbi/lib/openai/models/responses/response_includable.rbi b/rbi/lib/openai/models/responses/response_includable.rbi
index 661b921f..dd8aebb9 100644
--- a/rbi/lib/openai/models/responses/response_includable.rbi
+++ b/rbi/lib/openai/models/responses/response_includable.rbi
@@ -4,13 +4,13 @@ module OpenAI
   module Models
     module Responses
       # Specify additional output data to include in the model response. Currently
-      #   supported values are:
+      # supported values are:
       #
-      #   - `file_search_call.results`: Include the search results of the file search tool
-      #     call.
-      #   - `message.input_image.image_url`: Include image urls from the input message.
-      #   - `computer_call_output.output.image_url`: Include image urls from the computer
-      #     call output.
+      # - `file_search_call.results`: Include the search results of the file search tool
+      #   call.
+      # - `message.input_image.image_url`: Include image urls from the input message.
+      # - `computer_call_output.output.image_url`: Include image urls from the computer
+      #   call output.
       module ResponseIncludable
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_input_image.rbi b/rbi/lib/openai/models/responses/response_input_image.rbi
index f6089f0f..f6f84eac 100644
--- a/rbi/lib/openai/models/responses/response_input_image.rbi
+++ b/rbi/lib/openai/models/responses/response_input_image.rbi
@@ -5,7 +5,7 @@ module OpenAI
     module Responses
       class ResponseInputImage < OpenAI::Internal::Type::BaseModel
         # The detail level of the image to be sent to the model. One of `high`, `low`, or
-        #   `auto`. Defaults to `auto`.
+        # `auto`. Defaults to `auto`.
         sig { returns(OpenAI::Models::Responses::ResponseInputImage::Detail::OrSymbol) }
         attr_accessor :detail
 
@@ -18,12 +18,12 @@ module OpenAI
         attr_accessor :file_id
 
         # The URL of the image to be sent to the model. A fully qualified URL or base64
-        #   encoded image in a data URL.
+        # encoded image in a data URL.
         sig { returns(T.nilable(String)) }
         attr_accessor :image_url
 
         # An image input to the model. Learn about
-        #   [image inputs](https://platform.openai.com/docs/guides/vision).
+        # [image inputs](https://platform.openai.com/docs/guides/vision).
         sig do
           params(
             detail: OpenAI::Models::Responses::ResponseInputImage::Detail::OrSymbol,
@@ -49,7 +49,7 @@ module OpenAI
         def to_hash; end
 
         # The detail level of the image to be sent to the model. One of `high`, `low`, or
-        #   `auto`. Defaults to `auto`.
+        # `auto`. Defaults to `auto`.
         module Detail
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_input_item.rbi b/rbi/lib/openai/models/responses/response_input_item.rbi
index 6a70db99..cbcc9069 100644
--- a/rbi/lib/openai/models/responses/response_input_item.rbi
+++ b/rbi/lib/openai/models/responses/response_input_item.rbi
@@ -4,16 +4,16 @@ module OpenAI
   module Models
     module Responses
       # 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.
+      # 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.
       module ResponseInputItem
         extend OpenAI::Internal::Type::Union
 
         class Message < OpenAI::Internal::Type::BaseModel
           # A list of one or many input items to the model, containing different content
-          #   types.
+          # types.
           sig do
             returns(
               T::Array[
@@ -32,7 +32,7 @@ module OpenAI
           attr_accessor :role
 
           # The status of item. One of `in_progress`, `completed`, or `incomplete`.
-          #   Populated when items are returned via API.
+          # Populated when items are returned via API.
           sig { returns(T.nilable(OpenAI::Models::Responses::ResponseInputItem::Message::Status::OrSymbol)) }
           attr_reader :status
 
@@ -47,8 +47,8 @@ module OpenAI
           attr_writer :type
 
           # 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.
+          # hierarchy. Instructions given with the `developer` or `system` role take
+          # precedence over instructions given with the `user` role.
           sig do
             params(
               content: T::Array[
@@ -104,7 +104,7 @@ module OpenAI
           end
 
           # The status of item. One of `in_progress`, `completed`, or `incomplete`.
-          #   Populated when items are returned via API.
+          # Populated when items are returned via API.
           module Status
             extend OpenAI::Internal::Type::Enum
 
@@ -169,7 +169,7 @@ module OpenAI
           attr_writer :id
 
           # The safety checks reported by the API that have been acknowledged by the
-          #   developer.
+          # developer.
           sig do
             returns(
               T.nilable(
@@ -193,7 +193,7 @@ module OpenAI
           attr_writer :acknowledged_safety_checks
 
           # The status of the message input. One of `in_progress`, `completed`, or
-          #   `incomplete`. Populated when input items are returned via API.
+          # `incomplete`. Populated when input items are returned via API.
           sig { returns(T.nilable(OpenAI::Models::Responses::ResponseInputItem::ComputerCallOutput::Status::OrSymbol)) }
           attr_reader :status
 
@@ -264,7 +264,7 @@ module OpenAI
           end
 
           # The status of the message input. One of `in_progress`, `completed`, or
-          #   `incomplete`. Populated when input items are returned via API.
+          # `incomplete`. Populated when input items are returned via API.
           module Status
             extend OpenAI::Internal::Type::Enum
 
@@ -311,7 +311,7 @@ module OpenAI
           attr_accessor :type
 
           # The unique ID of the function tool call output. Populated when this item is
-          #   returned via API.
+          # returned via API.
           sig { returns(T.nilable(String)) }
           attr_reader :id
 
@@ -319,7 +319,7 @@ module OpenAI
           attr_writer :id
 
           # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-          #   Populated when items are returned via API.
+          # Populated when items are returned via API.
           sig { returns(T.nilable(OpenAI::Models::Responses::ResponseInputItem::FunctionCallOutput::Status::OrSymbol)) }
           attr_reader :status
 
@@ -354,7 +354,7 @@ module OpenAI
           def to_hash; end
 
           # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-          #   Populated when items are returned via API.
+          # Populated when items are returned via API.
           module Status
             extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_input_message_item.rbi b/rbi/lib/openai/models/responses/response_input_message_item.rbi
index a8b4a591..1eeebaa4 100644
--- a/rbi/lib/openai/models/responses/response_input_message_item.rbi
+++ b/rbi/lib/openai/models/responses/response_input_message_item.rbi
@@ -9,7 +9,7 @@ module OpenAI
         attr_accessor :id
 
         # A list of one or many input items to the model, containing different content
-        #   types.
+        # types.
         sig do
           returns(
             T::Array[
@@ -28,7 +28,7 @@ module OpenAI
         attr_accessor :role
 
         # The status of item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseInputMessageItem::Status::TaggedSymbol)) }
         attr_reader :status
 
@@ -98,7 +98,7 @@ module OpenAI
         end
 
         # The status of item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_output_message.rbi b/rbi/lib/openai/models/responses/response_output_message.rbi
index ca050336..d7a588ea 100644
--- a/rbi/lib/openai/models/responses/response_output_message.rbi
+++ b/rbi/lib/openai/models/responses/response_output_message.rbi
@@ -21,7 +21,7 @@ module OpenAI
         attr_accessor :role
 
         # The status of the message input. One of `in_progress`, `completed`, or
-        #   `incomplete`. Populated when input items are returned via API.
+        # `incomplete`. Populated when input items are returned via API.
         sig { returns(OpenAI::Models::Responses::ResponseOutputMessage::Status::OrSymbol) }
         attr_accessor :status
 
@@ -74,7 +74,7 @@ module OpenAI
         end
 
         # The status of the message input. One of `in_progress`, `completed`, or
-        #   `incomplete`. Populated when input items are returned via API.
+        # `incomplete`. Populated when input items are returned via API.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_reasoning_item.rbi b/rbi/lib/openai/models/responses/response_reasoning_item.rbi
index 1b8c7536..9d308e35 100644
--- a/rbi/lib/openai/models/responses/response_reasoning_item.rbi
+++ b/rbi/lib/openai/models/responses/response_reasoning_item.rbi
@@ -17,7 +17,7 @@ module OpenAI
         attr_accessor :type
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         sig { returns(T.nilable(OpenAI::Models::Responses::ResponseReasoningItem::Status::OrSymbol)) }
         attr_reader :status
 
@@ -25,7 +25,7 @@ module OpenAI
         attr_writer :status
 
         # A description of the chain of thought used by a reasoning model while generating
-        #   a response.
+        # a response.
         sig do
           params(
             id: String,
@@ -67,7 +67,7 @@ module OpenAI
         end
 
         # The status of the item. One of `in_progress`, `completed`, or `incomplete`.
-        #   Populated when items are returned via API.
+        # Populated when items are returned via API.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_retrieve_params.rbi b/rbi/lib/openai/models/responses/response_retrieve_params.rbi
index 9afae2e8..39ea7e1c 100644
--- a/rbi/lib/openai/models/responses/response_retrieve_params.rbi
+++ b/rbi/lib/openai/models/responses/response_retrieve_params.rbi
@@ -8,7 +8,7 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # Additional fields to include in the response. See the `include` parameter for
-        #   Response creation above for more information.
+        # Response creation above for more information.
         sig { returns(T.nilable(T::Array[OpenAI::Models::Responses::ResponseIncludable::OrSymbol])) }
         attr_reader :include
 
diff --git a/rbi/lib/openai/models/responses/response_status.rbi b/rbi/lib/openai/models/responses/response_status.rbi
index 8768bb79..a887be4c 100644
--- a/rbi/lib/openai/models/responses/response_status.rbi
+++ b/rbi/lib/openai/models/responses/response_status.rbi
@@ -4,7 +4,7 @@ module OpenAI
   module Models
     module Responses
       # The status of the response generation. One of `completed`, `failed`,
-      #   `in_progress`, or `incomplete`.
+      # `in_progress`, or `incomplete`.
       module ResponseStatus
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/response_text_config.rbi b/rbi/lib/openai/models/responses/response_text_config.rbi
index 1e338162..68a82916 100644
--- a/rbi/lib/openai/models/responses/response_text_config.rbi
+++ b/rbi/lib/openai/models/responses/response_text_config.rbi
@@ -6,17 +6,17 @@ module OpenAI
       class ResponseTextConfig < OpenAI::Internal::Type::BaseModel
         # An object specifying the format that the model must output.
         #
-        #   Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
-        #   ensures the model will match your supplied JSON schema. Learn more in the
-        #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+        # Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+        # ensures the model will match your supplied JSON schema. Learn more in the
+        # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
         #
-        #   The default format is `{ "type": "text" }` with no additional options.
+        # The default format is `{ "type": "text" }` with no additional options.
         #
-        #   **Not recommended for gpt-4o and newer models:**
+        # **Not recommended for gpt-4o and newer models:**
         #
-        #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-        #   ensures the message the model generates is valid JSON. Using `json_schema` is
-        #   preferred for models that support it.
+        # Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+        # ensures the message the model generates is valid JSON. Using `json_schema` is
+        # preferred for models that support it.
         sig do
           returns(
             T.nilable(
@@ -44,10 +44,10 @@ module OpenAI
         attr_writer :format_
 
         # Configuration options for a text response from the model. Can be plain text or
-        #   structured JSON data. Learn more:
+        # structured JSON data. Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
         sig do
           params(
             format_: T.any(
diff --git a/rbi/lib/openai/models/responses/response_usage.rbi b/rbi/lib/openai/models/responses/response_usage.rbi
index 89b2102a..852d91c4 100644
--- a/rbi/lib/openai/models/responses/response_usage.rbi
+++ b/rbi/lib/openai/models/responses/response_usage.rbi
@@ -41,7 +41,7 @@ module OpenAI
         attr_accessor :total_tokens
 
         # Represents token usage details including input tokens, output tokens, a
-        #   breakdown of output tokens, and the total tokens used.
+        # breakdown of output tokens, and the total tokens used.
         sig do
           params(
             input_tokens: Integer,
@@ -77,7 +77,7 @@ module OpenAI
 
         class InputTokensDetails < OpenAI::Internal::Type::BaseModel
           # The number of tokens that were retrieved from the cache.
-          #   [More on prompt caching](https://platform.openai.com/docs/guides/prompt-caching).
+          # [More on prompt caching](https://platform.openai.com/docs/guides/prompt-caching).
           sig { returns(Integer) }
           attr_accessor :cached_tokens
 
diff --git a/rbi/lib/openai/models/responses/tool.rbi b/rbi/lib/openai/models/responses/tool.rbi
index 9aab8bc4..292e8c9d 100644
--- a/rbi/lib/openai/models/responses/tool.rbi
+++ b/rbi/lib/openai/models/responses/tool.rbi
@@ -4,8 +4,8 @@ module OpenAI
   module Models
     module Responses
       # A tool that searches for relevant content from uploaded files. Learn more about
-      #   the
-      #   [file search tool](https://platform.openai.com/docs/guides/tools-file-search).
+      # the
+      # [file search tool](https://platform.openai.com/docs/guides/tools-file-search).
       module Tool
         extend OpenAI::Internal::Type::Union
 
diff --git a/rbi/lib/openai/models/responses/tool_choice_options.rbi b/rbi/lib/openai/models/responses/tool_choice_options.rbi
index 319448bc..ccc45284 100644
--- a/rbi/lib/openai/models/responses/tool_choice_options.rbi
+++ b/rbi/lib/openai/models/responses/tool_choice_options.rbi
@@ -5,12 +5,12 @@ module OpenAI
     module Responses
       # Controls which (if any) tool is called by the model.
       #
-      #   `none` means the model will not call any tool and instead generates a message.
+      # `none` means the model will not call any tool and instead generates a message.
       #
-      #   `auto` means the model can pick between generating a message or calling one or
-      #   more tools.
+      # `auto` means the model can pick between generating a message or calling one or
+      # more tools.
       #
-      #   `required` means the model must call one or more tools.
+      # `required` means the model must call one or more tools.
       module ToolChoiceOptions
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/tool_choice_types.rbi b/rbi/lib/openai/models/responses/tool_choice_types.rbi
index 82a4138e..ece62dd0 100644
--- a/rbi/lib/openai/models/responses/tool_choice_types.rbi
+++ b/rbi/lib/openai/models/responses/tool_choice_types.rbi
@@ -5,18 +5,18 @@ module OpenAI
     module Responses
       class ToolChoiceTypes < OpenAI::Internal::Type::BaseModel
         # The type of hosted tool the model should to use. Learn more about
-        #   [built-in tools](https://platform.openai.com/docs/guides/tools).
+        # [built-in tools](https://platform.openai.com/docs/guides/tools).
         #
-        #   Allowed values are:
+        # Allowed values are:
         #
-        #   - `file_search`
-        #   - `web_search_preview`
-        #   - `computer_use_preview`
+        # - `file_search`
+        # - `web_search_preview`
+        # - `computer_use_preview`
         sig { returns(OpenAI::Models::Responses::ToolChoiceTypes::Type::OrSymbol) }
         attr_accessor :type
 
         # Indicates that the model should use a built-in tool to generate a response.
-        #   [Learn more about built-in tools](https://platform.openai.com/docs/guides/tools).
+        # [Learn more about built-in tools](https://platform.openai.com/docs/guides/tools).
         sig { params(type: OpenAI::Models::Responses::ToolChoiceTypes::Type::OrSymbol).returns(T.attached_class) }
         def self.new(type:); end
 
@@ -24,13 +24,13 @@ module OpenAI
         def to_hash; end
 
         # The type of hosted tool the model should to use. Learn more about
-        #   [built-in tools](https://platform.openai.com/docs/guides/tools).
+        # [built-in tools](https://platform.openai.com/docs/guides/tools).
         #
-        #   Allowed values are:
+        # Allowed values are:
         #
-        #   - `file_search`
-        #   - `web_search_preview`
-        #   - `computer_use_preview`
+        # - `file_search`
+        # - `web_search_preview`
+        # - `computer_use_preview`
         module Type
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/responses/web_search_tool.rbi b/rbi/lib/openai/models/responses/web_search_tool.rbi
index 63a05033..75ccebd6 100644
--- a/rbi/lib/openai/models/responses/web_search_tool.rbi
+++ b/rbi/lib/openai/models/responses/web_search_tool.rbi
@@ -6,13 +6,13 @@ module OpenAI
       class WebSearchTool < OpenAI::Internal::Type::BaseModel
         # The type of the web search tool. One of:
         #
-        #   - `web_search_preview`
-        #   - `web_search_preview_2025_03_11`
+        # - `web_search_preview`
+        # - `web_search_preview_2025_03_11`
         sig { returns(OpenAI::Models::Responses::WebSearchTool::Type::OrSymbol) }
         attr_accessor :type
 
         # High level guidance for the amount of context window space to use for the
-        #   search. One of `low`, `medium`, or `high`. `medium` is the default.
+        # search. One of `low`, `medium`, or `high`. `medium` is the default.
         sig { returns(T.nilable(OpenAI::Models::Responses::WebSearchTool::SearchContextSize::OrSymbol)) }
         attr_reader :search_context_size
 
@@ -31,8 +31,8 @@ module OpenAI
         attr_writer :user_location
 
         # This tool searches the web for relevant results to use in a response. Learn more
-        #   about the
-        #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search).
+        # about the
+        # [web search tool](https://platform.openai.com/docs/guides/tools-web-search).
         sig do
           params(
             type: OpenAI::Models::Responses::WebSearchTool::Type::OrSymbol,
@@ -57,8 +57,8 @@ module OpenAI
 
         # The type of the web search tool. One of:
         #
-        #   - `web_search_preview`
-        #   - `web_search_preview_2025_03_11`
+        # - `web_search_preview`
+        # - `web_search_preview_2025_03_11`
         module Type
           extend OpenAI::Internal::Type::Enum
 
@@ -76,7 +76,7 @@ module OpenAI
         end
 
         # High level guidance for the amount of context window space to use for the
-        #   search. One of `low`, `medium`, or `high`. `medium` is the default.
+        # search. One of `low`, `medium`, or `high`. `medium` is the default.
         module SearchContextSize
           extend OpenAI::Internal::Type::Enum
 
@@ -106,7 +106,7 @@ module OpenAI
           attr_writer :city
 
           # The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of
-          #   the user, e.g. `US`.
+          # the user, e.g. `US`.
           sig { returns(T.nilable(String)) }
           attr_reader :country
 
@@ -121,7 +121,7 @@ module OpenAI
           attr_writer :region
 
           # The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the
-          #   user, e.g. `America/Los_Angeles`.
+          # user, e.g. `America/Los_Angeles`.
           sig { returns(T.nilable(String)) }
           attr_reader :timezone
 
diff --git a/rbi/lib/openai/models/static_file_chunking_strategy.rbi b/rbi/lib/openai/models/static_file_chunking_strategy.rbi
index 1a672f16..ce9bb8d5 100644
--- a/rbi/lib/openai/models/static_file_chunking_strategy.rbi
+++ b/rbi/lib/openai/models/static_file_chunking_strategy.rbi
@@ -5,12 +5,12 @@ module OpenAI
     class StaticFileChunkingStrategy < OpenAI::Internal::Type::BaseModel
       # The number of tokens that overlap between chunks. The default value is `400`.
       #
-      #   Note that the overlap must not exceed half of `max_chunk_size_tokens`.
+      # Note that the overlap must not exceed half of `max_chunk_size_tokens`.
       sig { returns(Integer) }
       attr_accessor :chunk_overlap_tokens
 
       # The maximum number of tokens in each chunk. The default value is `800`. The
-      #   minimum value is `100` and the maximum value is `4096`.
+      # minimum value is `100` and the maximum value is `4096`.
       sig { returns(Integer) }
       attr_accessor :max_chunk_size_tokens
 
diff --git a/rbi/lib/openai/models/upload.rbi b/rbi/lib/openai/models/upload.rbi
index bc80b4c6..7a9a7404 100644
--- a/rbi/lib/openai/models/upload.rbi
+++ b/rbi/lib/openai/models/upload.rbi
@@ -28,8 +28,8 @@ module OpenAI
       attr_accessor :object
 
       # The intended purpose of the file.
-      #   [Please refer here](https://platform.openai.com/docs/api-reference/files/object#files/object-purpose)
-      #   for acceptable values.
+      # [Please refer here](https://platform.openai.com/docs/api-reference/files/object#files/object-purpose)
+      # for acceptable values.
       sig { returns(String) }
       attr_accessor :purpose
 
diff --git a/rbi/lib/openai/models/upload_complete_params.rbi b/rbi/lib/openai/models/upload_complete_params.rbi
index f6d148b3..344ab351 100644
--- a/rbi/lib/openai/models/upload_complete_params.rbi
+++ b/rbi/lib/openai/models/upload_complete_params.rbi
@@ -11,7 +11,7 @@ module OpenAI
       attr_accessor :part_ids
 
       # The optional md5 checksum for the file contents to verify if the bytes uploaded
-      #   matches what you expect.
+      # matches what you expect.
       sig { returns(T.nilable(String)) }
       attr_reader :md5
 
diff --git a/rbi/lib/openai/models/upload_create_params.rbi b/rbi/lib/openai/models/upload_create_params.rbi
index 050879be..74c1e762 100644
--- a/rbi/lib/openai/models/upload_create_params.rbi
+++ b/rbi/lib/openai/models/upload_create_params.rbi
@@ -16,15 +16,15 @@ module OpenAI
 
       # The MIME type of the file.
       #
-      #   This must fall within the supported MIME types for your file purpose. See the
-      #   supported MIME types for assistants and vision.
+      # This must fall within the supported MIME types for your file purpose. See the
+      # supported MIME types for assistants and vision.
       sig { returns(String) }
       attr_accessor :mime_type
 
       # The intended purpose of the uploaded file.
       #
-      #   See the
-      #   [documentation on File purposes](https://platform.openai.com/docs/api-reference/files/create#files-create-purpose).
+      # See the
+      # [documentation on File purposes](https://platform.openai.com/docs/api-reference/files/create#files-create-purpose).
       sig { returns(OpenAI::Models::FilePurpose::OrSymbol) }
       attr_accessor :purpose
 
diff --git a/rbi/lib/openai/models/vector_store.rbi b/rbi/lib/openai/models/vector_store.rbi
index 9969477d..3426c9f4 100644
--- a/rbi/lib/openai/models/vector_store.rbi
+++ b/rbi/lib/openai/models/vector_store.rbi
@@ -22,11 +22,11 @@ module OpenAI
       attr_accessor :last_active_at
 
       # Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #   for storing additional information about the object in a structured format, and
-      #   querying for objects via API or the dashboard.
+      # for storing additional information about the object in a structured format, and
+      # querying for objects via API or the dashboard.
       #
-      #   Keys are strings with a maximum length of 64 characters. Values are strings with
-      #   a maximum length of 512 characters.
+      # Keys are strings with a maximum length of 64 characters. Values are strings with
+      # a maximum length of 512 characters.
       sig { returns(T.nilable(T::Hash[Symbol, String])) }
       attr_accessor :metadata
 
@@ -39,8 +39,8 @@ module OpenAI
       attr_accessor :object
 
       # The status of the vector store, which can be either `expired`, `in_progress`, or
-      #   `completed`. A status of `completed` indicates that the vector store is ready
-      #   for use.
+      # `completed`. A status of `completed` indicates that the vector store is ready
+      # for use.
       sig { returns(OpenAI::Models::VectorStore::Status::TaggedSymbol) }
       attr_accessor :status
 
@@ -60,7 +60,7 @@ module OpenAI
       attr_accessor :expires_at
 
       # A vector store is a collection of processed files can be used by the
-      #   `file_search` tool.
+      # `file_search` tool.
       sig do
         params(
           id: String,
@@ -157,8 +157,8 @@ module OpenAI
       end
 
       # The status of the vector store, which can be either `expired`, `in_progress`, or
-      #   `completed`. A status of `completed` indicates that the vector store is ready
-      #   for use.
+      # `completed`. A status of `completed` indicates that the vector store is ready
+      # for use.
       module Status
         extend OpenAI::Internal::Type::Enum
 
@@ -175,7 +175,7 @@ module OpenAI
 
       class ExpiresAfter < OpenAI::Internal::Type::BaseModel
         # Anchor timestamp after which the expiration policy applies. Supported anchors:
-        #   `last_active_at`.
+        # `last_active_at`.
         sig { returns(Symbol) }
         attr_accessor :anchor
 
diff --git a/rbi/lib/openai/models/vector_store_create_params.rbi b/rbi/lib/openai/models/vector_store_create_params.rbi
index a5ba26e4..c6256c21 100644
--- a/rbi/lib/openai/models/vector_store_create_params.rbi
+++ b/rbi/lib/openai/models/vector_store_create_params.rbi
@@ -7,7 +7,7 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-      #   strategy. Only applicable if `file_ids` is non-empty.
+      # strategy. Only applicable if `file_ids` is non-empty.
       sig do
         returns(
           T.nilable(
@@ -45,8 +45,8 @@ module OpenAI
       attr_writer :expires_after
 
       # A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-      #   the vector store should use. Useful for tools like `file_search` that can access
-      #   files.
+      # the vector store should use. Useful for tools like `file_search` that can access
+      # files.
       sig { returns(T.nilable(T::Array[String])) }
       attr_reader :file_ids
 
@@ -54,11 +54,11 @@ module OpenAI
       attr_writer :file_ids
 
       # Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #   for storing additional information about the object in a structured format, and
-      #   querying for objects via API or the dashboard.
+      # for storing additional information about the object in a structured format, and
+      # querying for objects via API or the dashboard.
       #
-      #   Keys are strings with a maximum length of 64 characters. Values are strings with
-      #   a maximum length of 512 characters.
+      # Keys are strings with a maximum length of 64 characters. Values are strings with
+      # a maximum length of 512 characters.
       sig { returns(T.nilable(T::Hash[Symbol, String])) }
       attr_accessor :metadata
 
@@ -114,7 +114,7 @@ module OpenAI
 
       class ExpiresAfter < OpenAI::Internal::Type::BaseModel
         # Anchor timestamp after which the expiration policy applies. Supported anchors:
-        #   `last_active_at`.
+        # `last_active_at`.
         sig { returns(Symbol) }
         attr_accessor :anchor
 
diff --git a/rbi/lib/openai/models/vector_store_list_params.rbi b/rbi/lib/openai/models/vector_store_list_params.rbi
index 240ac978..e40b3b45 100644
--- a/rbi/lib/openai/models/vector_store_list_params.rbi
+++ b/rbi/lib/openai/models/vector_store_list_params.rbi
@@ -7,9 +7,9 @@ module OpenAI
       include OpenAI::Internal::Type::RequestParameters
 
       # A cursor for use in pagination. `after` is an object ID that defines your place
-      #   in the list. For instance, if you make a list request and receive 100 objects,
-      #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-      #   fetch the next page of the list.
+      # in the list. For instance, if you make a list request and receive 100 objects,
+      # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+      # fetch the next page of the list.
       sig { returns(T.nilable(String)) }
       attr_reader :after
 
@@ -17,9 +17,9 @@ module OpenAI
       attr_writer :after
 
       # A cursor for use in pagination. `before` is an object ID that defines your place
-      #   in the list. For instance, if you make a list request and receive 100 objects,
-      #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-      #   to fetch the previous page of the list.
+      # in the list. For instance, if you make a list request and receive 100 objects,
+      # starting with obj_foo, your subsequent call can include before=obj_foo in order
+      # to fetch the previous page of the list.
       sig { returns(T.nilable(String)) }
       attr_reader :before
 
@@ -27,7 +27,7 @@ module OpenAI
       attr_writer :before
 
       # A limit on the number of objects to be returned. Limit can range between 1 and
-      #   100, and the default is 20.
+      # 100, and the default is 20.
       sig { returns(T.nilable(Integer)) }
       attr_reader :limit
 
@@ -35,7 +35,7 @@ module OpenAI
       attr_writer :limit
 
       # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-      #   order and `desc` for descending order.
+      # order and `desc` for descending order.
       sig { returns(T.nilable(OpenAI::Models::VectorStoreListParams::Order::OrSymbol)) }
       attr_reader :order
 
@@ -69,7 +69,7 @@ module OpenAI
       def to_hash; end
 
       # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-      #   order and `desc` for descending order.
+      # order and `desc` for descending order.
       module Order
         extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/vector_store_search_params.rbi b/rbi/lib/openai/models/vector_store_search_params.rbi
index 523d2871..e5456dff 100644
--- a/rbi/lib/openai/models/vector_store_search_params.rbi
+++ b/rbi/lib/openai/models/vector_store_search_params.rbi
@@ -23,7 +23,7 @@ module OpenAI
       attr_writer :filters
 
       # The maximum number of results to return. This number should be between 1 and 50
-      #   inclusive.
+      # inclusive.
       sig { returns(T.nilable(Integer)) }
       attr_reader :max_num_results
 
diff --git a/rbi/lib/openai/models/vector_store_search_response.rbi b/rbi/lib/openai/models/vector_store_search_response.rbi
index 06e2c923..454d54a1 100644
--- a/rbi/lib/openai/models/vector_store_search_response.rbi
+++ b/rbi/lib/openai/models/vector_store_search_response.rbi
@@ -4,10 +4,10 @@ module OpenAI
   module Models
     class VectorStoreSearchResponse < OpenAI::Internal::Type::BaseModel
       # Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #   for storing additional information about the object in a structured format, and
-      #   querying for objects via API or the dashboard. Keys are strings with a maximum
-      #   length of 64 characters. Values are strings with a maximum length of 512
-      #   characters, booleans, or numbers.
+      # for storing additional information about the object in a structured format, and
+      # querying for objects via API or the dashboard. Keys are strings with a maximum
+      # length of 64 characters. Values are strings with a maximum length of 512
+      # characters, booleans, or numbers.
       sig { returns(T.nilable(T::Hash[Symbol, T.any(String, Float, T::Boolean)])) }
       attr_accessor :attributes
 
diff --git a/rbi/lib/openai/models/vector_store_update_params.rbi b/rbi/lib/openai/models/vector_store_update_params.rbi
index 81e71bed..b40311aa 100644
--- a/rbi/lib/openai/models/vector_store_update_params.rbi
+++ b/rbi/lib/openai/models/vector_store_update_params.rbi
@@ -19,11 +19,11 @@ module OpenAI
       attr_writer :expires_after
 
       # Set of 16 key-value pairs that can be attached to an object. This can be useful
-      #   for storing additional information about the object in a structured format, and
-      #   querying for objects via API or the dashboard.
+      # for storing additional information about the object in a structured format, and
+      # querying for objects via API or the dashboard.
       #
-      #   Keys are strings with a maximum length of 64 characters. Values are strings with
-      #   a maximum length of 512 characters.
+      # Keys are strings with a maximum length of 64 characters. Values are strings with
+      # a maximum length of 512 characters.
       sig { returns(T.nilable(T::Hash[Symbol, String])) }
       attr_accessor :metadata
 
@@ -57,7 +57,7 @@ module OpenAI
 
       class ExpiresAfter < OpenAI::Internal::Type::BaseModel
         # Anchor timestamp after which the expiration policy applies. Supported anchors:
-        #   `last_active_at`.
+        # `last_active_at`.
         sig { returns(Symbol) }
         attr_accessor :anchor
 
diff --git a/rbi/lib/openai/models/vector_stores/file_batch_create_params.rbi b/rbi/lib/openai/models/vector_stores/file_batch_create_params.rbi
index fd42f4c3..f64e4470 100644
--- a/rbi/lib/openai/models/vector_stores/file_batch_create_params.rbi
+++ b/rbi/lib/openai/models/vector_stores/file_batch_create_params.rbi
@@ -8,21 +8,21 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-        #   the vector store should use. Useful for tools like `file_search` that can access
-        #   files.
+        # the vector store should use. Useful for tools like `file_search` that can access
+        # files.
         sig { returns(T::Array[String]) }
         attr_accessor :file_ids
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard. Keys are strings with a maximum
-        #   length of 64 characters. Values are strings with a maximum length of 512
-        #   characters, booleans, or numbers.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard. Keys are strings with a maximum
+        # length of 64 characters. Values are strings with a maximum length of 512
+        # characters, booleans, or numbers.
         sig { returns(T.nilable(T::Hash[Symbol, T.any(String, Float, T::Boolean)])) }
         attr_accessor :attributes
 
         # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-        #   strategy. Only applicable if `file_ids` is non-empty.
+        # strategy. Only applicable if `file_ids` is non-empty.
         sig do
           returns(
             T.nilable(
diff --git a/rbi/lib/openai/models/vector_stores/file_batch_list_files_params.rbi b/rbi/lib/openai/models/vector_stores/file_batch_list_files_params.rbi
index 93928ade..8911fb0e 100644
--- a/rbi/lib/openai/models/vector_stores/file_batch_list_files_params.rbi
+++ b/rbi/lib/openai/models/vector_stores/file_batch_list_files_params.rbi
@@ -11,9 +11,9 @@ module OpenAI
         attr_accessor :vector_store_id
 
         # A cursor for use in pagination. `after` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #   fetch the next page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        # fetch the next page of the list.
         sig { returns(T.nilable(String)) }
         attr_reader :after
 
@@ -21,9 +21,9 @@ module OpenAI
         attr_writer :after
 
         # A cursor for use in pagination. `before` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-        #   to fetch the previous page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # starting with obj_foo, your subsequent call can include before=obj_foo in order
+        # to fetch the previous page of the list.
         sig { returns(T.nilable(String)) }
         attr_reader :before
 
@@ -38,7 +38,7 @@ module OpenAI
         attr_writer :filter
 
         # A limit on the number of objects to be returned. Limit can range between 1 and
-        #   100, and the default is 20.
+        # 100, and the default is 20.
         sig { returns(T.nilable(Integer)) }
         attr_reader :limit
 
@@ -46,7 +46,7 @@ module OpenAI
         attr_writer :limit
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         sig { returns(T.nilable(OpenAI::Models::VectorStores::FileBatchListFilesParams::Order::OrSymbol)) }
         attr_reader :order
 
@@ -114,7 +114,7 @@ module OpenAI
         end
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/vector_stores/file_create_params.rbi b/rbi/lib/openai/models/vector_stores/file_create_params.rbi
index f63b7e8d..774e6c2e 100644
--- a/rbi/lib/openai/models/vector_stores/file_create_params.rbi
+++ b/rbi/lib/openai/models/vector_stores/file_create_params.rbi
@@ -8,21 +8,21 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # A [File](https://platform.openai.com/docs/api-reference/files) ID that the
-        #   vector store should use. Useful for tools like `file_search` that can access
-        #   files.
+        # vector store should use. Useful for tools like `file_search` that can access
+        # files.
         sig { returns(String) }
         attr_accessor :file_id
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard. Keys are strings with a maximum
-        #   length of 64 characters. Values are strings with a maximum length of 512
-        #   characters, booleans, or numbers.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard. Keys are strings with a maximum
+        # length of 64 characters. Values are strings with a maximum length of 512
+        # characters, booleans, or numbers.
         sig { returns(T.nilable(T::Hash[Symbol, T.any(String, Float, T::Boolean)])) }
         attr_accessor :attributes
 
         # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-        #   strategy. Only applicable if `file_ids` is non-empty.
+        # strategy. Only applicable if `file_ids` is non-empty.
         sig do
           returns(
             T.nilable(
diff --git a/rbi/lib/openai/models/vector_stores/file_list_params.rbi b/rbi/lib/openai/models/vector_stores/file_list_params.rbi
index 9f451eec..10960b9c 100644
--- a/rbi/lib/openai/models/vector_stores/file_list_params.rbi
+++ b/rbi/lib/openai/models/vector_stores/file_list_params.rbi
@@ -8,9 +8,9 @@ module OpenAI
         include OpenAI::Internal::Type::RequestParameters
 
         # A cursor for use in pagination. `after` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #   fetch the next page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        # fetch the next page of the list.
         sig { returns(T.nilable(String)) }
         attr_reader :after
 
@@ -18,9 +18,9 @@ module OpenAI
         attr_writer :after
 
         # A cursor for use in pagination. `before` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-        #   to fetch the previous page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # starting with obj_foo, your subsequent call can include before=obj_foo in order
+        # to fetch the previous page of the list.
         sig { returns(T.nilable(String)) }
         attr_reader :before
 
@@ -35,7 +35,7 @@ module OpenAI
         attr_writer :filter
 
         # A limit on the number of objects to be returned. Limit can range between 1 and
-        #   100, and the default is 20.
+        # 100, and the default is 20.
         sig { returns(T.nilable(Integer)) }
         attr_reader :limit
 
@@ -43,7 +43,7 @@ module OpenAI
         attr_writer :limit
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         sig { returns(T.nilable(OpenAI::Models::VectorStores::FileListParams::Order::OrSymbol)) }
         attr_reader :order
 
@@ -96,7 +96,7 @@ module OpenAI
         end
 
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         module Order
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/vector_stores/file_update_params.rbi b/rbi/lib/openai/models/vector_stores/file_update_params.rbi
index 9eb12ec9..41edb9ab 100644
--- a/rbi/lib/openai/models/vector_stores/file_update_params.rbi
+++ b/rbi/lib/openai/models/vector_stores/file_update_params.rbi
@@ -11,10 +11,10 @@ module OpenAI
         attr_accessor :vector_store_id
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard. Keys are strings with a maximum
-        #   length of 64 characters. Values are strings with a maximum length of 512
-        #   characters, booleans, or numbers.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard. Keys are strings with a maximum
+        # length of 64 characters. Values are strings with a maximum length of 512
+        # characters, booleans, or numbers.
         sig { returns(T.nilable(T::Hash[Symbol, T.any(String, Float, T::Boolean)])) }
         attr_accessor :attributes
 
diff --git a/rbi/lib/openai/models/vector_stores/vector_store_file.rbi b/rbi/lib/openai/models/vector_stores/vector_store_file.rbi
index e729c6ee..6bf82fb0 100644
--- a/rbi/lib/openai/models/vector_stores/vector_store_file.rbi
+++ b/rbi/lib/openai/models/vector_stores/vector_store_file.rbi
@@ -13,7 +13,7 @@ module OpenAI
         attr_accessor :created_at
 
         # The last error associated with this vector store file. Will be `null` if there
-        #   are no errors.
+        # are no errors.
         sig { returns(T.nilable(OpenAI::Models::VectorStores::VectorStoreFile::LastError)) }
         attr_reader :last_error
 
@@ -30,28 +30,28 @@ module OpenAI
         attr_accessor :object
 
         # The status of the vector store file, which can be either `in_progress`,
-        #   `completed`, `cancelled`, or `failed`. The status `completed` indicates that the
-        #   vector store file is ready for use.
+        # `completed`, `cancelled`, or `failed`. The status `completed` indicates that the
+        # vector store file is ready for use.
         sig { returns(OpenAI::Models::VectorStores::VectorStoreFile::Status::TaggedSymbol) }
         attr_accessor :status
 
         # The total vector store usage in bytes. Note that this may be different from the
-        #   original file size.
+        # original file size.
         sig { returns(Integer) }
         attr_accessor :usage_bytes
 
         # The ID of the
-        #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-        #   that the [File](https://platform.openai.com/docs/api-reference/files) is
-        #   attached to.
+        # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+        # that the [File](https://platform.openai.com/docs/api-reference/files) is
+        # attached to.
         sig { returns(String) }
         attr_accessor :vector_store_id
 
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard. Keys are strings with a maximum
-        #   length of 64 characters. Values are strings with a maximum length of 512
-        #   characters, booleans, or numbers.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard. Keys are strings with a maximum
+        # length of 64 characters. Values are strings with a maximum length of 512
+        # characters, booleans, or numbers.
         sig { returns(T.nilable(T::Hash[Symbol, T.any(String, Float, T::Boolean)])) }
         attr_accessor :attributes
 
@@ -135,7 +135,7 @@ module OpenAI
           attr_accessor :message
 
           # The last error associated with this vector store file. Will be `null` if there
-          #   are no errors.
+          # are no errors.
           sig do
             params(code: OpenAI::Models::VectorStores::VectorStoreFile::LastError::Code::OrSymbol, message: String)
               .returns(T.attached_class)
@@ -172,8 +172,8 @@ module OpenAI
         end
 
         # The status of the vector store file, which can be either `in_progress`,
-        #   `completed`, `cancelled`, or `failed`. The status `completed` indicates that the
-        #   vector store file is ready for use.
+        # `completed`, `cancelled`, or `failed`. The status `completed` indicates that the
+        # vector store file is ready for use.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/models/vector_stores/vector_store_file_batch.rbi b/rbi/lib/openai/models/vector_stores/vector_store_file_batch.rbi
index 0ee00156..cef32c64 100644
--- a/rbi/lib/openai/models/vector_stores/vector_store_file_batch.rbi
+++ b/rbi/lib/openai/models/vector_stores/vector_store_file_batch.rbi
@@ -9,7 +9,7 @@ module OpenAI
         attr_accessor :id
 
         # The Unix timestamp (in seconds) for when the vector store files batch was
-        #   created.
+        # created.
         sig { returns(Integer) }
         attr_accessor :created_at
 
@@ -29,14 +29,14 @@ module OpenAI
         attr_accessor :object
 
         # The status of the vector store files batch, which can be either `in_progress`,
-        #   `completed`, `cancelled` or `failed`.
+        # `completed`, `cancelled` or `failed`.
         sig { returns(OpenAI::Models::VectorStores::VectorStoreFileBatch::Status::TaggedSymbol) }
         attr_accessor :status
 
         # The ID of the
-        #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
-        #   that the [File](https://platform.openai.com/docs/api-reference/files) is
-        #   attached to.
+        # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object)
+        # that the [File](https://platform.openai.com/docs/api-reference/files) is
+        # attached to.
         sig { returns(String) }
         attr_accessor :vector_store_id
 
@@ -124,7 +124,7 @@ module OpenAI
         end
 
         # The status of the vector store files batch, which can be either `in_progress`,
-        #   `completed`, `cancelled` or `failed`.
+        # `completed`, `cancelled` or `failed`.
         module Status
           extend OpenAI::Internal::Type::Enum
 
diff --git a/rbi/lib/openai/request_options.rbi b/rbi/lib/openai/request_options.rbi
index 3f0ab9b4..9c3df5a0 100644
--- a/rbi/lib/openai/request_options.rbi
+++ b/rbi/lib/openai/request_options.rbi
@@ -2,32 +2,32 @@
 
 module OpenAI
   # Specify HTTP behaviour to use for a specific request. These options supplement
-  #   or override those provided at the client level.
+  # or override those provided at the client level.
   #
-  #   When making a request, you can pass an actual {RequestOptions} instance, or
-  #   simply pass a Hash with symbol keys matching the attributes on this class.
+  # When making a request, you can pass an actual {RequestOptions} instance, or
+  # simply pass a Hash with symbol keys matching the attributes on this class.
   class RequestOptions < OpenAI::Internal::Type::BaseModel
     # @api private
     sig { params(opts: T.any(T.self_type, T::Hash[Symbol, T.anything])).void }
     def self.validate!(opts); end
 
     # Idempotency key to send with request and all associated retries. Will only be
-    #   sent for write requests.
+    # sent for write requests.
     sig { returns(T.nilable(String)) }
     attr_accessor :idempotency_key
 
     # Extra query params to send with the request. These are `.merge`’d into any
-    #   `query` given at the client level.
+    # `query` given at the client level.
     sig { returns(T.nilable(T::Hash[String, T.nilable(T.any(T::Array[String], String))])) }
     attr_accessor :extra_query
 
     # Extra headers to send with the request. These are `.merged`’d into any
-    #   `extra_headers` given at the client level.
+    # `extra_headers` given at the client level.
     sig { returns(T.nilable(T::Hash[String, T.nilable(String)])) }
     attr_accessor :extra_headers
 
     # Extra data to send with the request. These are deep merged into any data
-    #   generated as part of the normal request.
+    # generated as part of the normal request.
     sig { returns(T.nilable(T.anything)) }
     attr_accessor :extra_body
 
diff --git a/rbi/lib/openai/resources/audio/speech.rbi b/rbi/lib/openai/resources/audio/speech.rbi
index f51b153a..2717898a 100644
--- a/rbi/lib/openai/resources/audio/speech.rbi
+++ b/rbi/lib/openai/resources/audio/speech.rbi
@@ -21,21 +21,21 @@ module OpenAI
           # The text to generate audio for. The maximum length is 4096 characters.
           input:,
           # One of the available [TTS models](https://platform.openai.com/docs/models#tts):
-          #   `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
+          # `tts-1`, `tts-1-hd` or `gpt-4o-mini-tts`.
           model:,
           # The voice to use when generating the audio. Supported voices are `alloy`, `ash`,
-          #   `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
-          #   `verse`. Previews of the voices are available in the
-          #   [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
+          # `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`, `shimmer`, and
+          # `verse`. Previews of the voices are available in the
+          # [Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech#voice-options).
           voice:,
           # Control the voice of your generated audio with additional instructions. Does not
-          #   work with `tts-1` or `tts-1-hd`.
+          # work with `tts-1` or `tts-1-hd`.
           instructions: nil,
           # The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`,
-          #   `wav`, and `pcm`.
+          # `wav`, and `pcm`.
           response_format: nil,
           # The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is
-          #   the default.
+          # the default.
           speed: nil,
           request_options: {}
         ); end
diff --git a/rbi/lib/openai/resources/audio/transcriptions.rbi b/rbi/lib/openai/resources/audio/transcriptions.rbi
index 9fe4f4a3..824a08af 100644
--- a/rbi/lib/openai/resources/audio/transcriptions.rbi
+++ b/rbi/lib/openai/resources/audio/transcriptions.rbi
@@ -5,9 +5,9 @@ module OpenAI
     class Audio
       class Transcriptions
         # See {OpenAI::Resources::Audio::Transcriptions#create_streaming} for streaming
-        #   counterpart.
+        # counterpart.
         #
-        #   Transcribes audio into the input language.
+        # Transcribes audio into the input language.
         sig do
           params(
             file: T.any(IO, StringIO),
@@ -25,52 +25,52 @@ module OpenAI
         end
         def create(
           # The audio file object (not file name) to transcribe, in one of these formats:
-          #   flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+          # flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
           file:,
           # ID of the model to use. The options are `gpt-4o-transcribe`,
-          #   `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
-          #   Whisper V2 model).
+          # `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
+          # Whisper V2 model).
           model:,
           # Additional information to include in the transcription response. `logprobs` will
-          #   return the log probabilities of the tokens in the response to understand the
-          #   model's confidence in the transcription. `logprobs` only works with
-          #   response_format set to `json` and only with the models `gpt-4o-transcribe` and
-          #   `gpt-4o-mini-transcribe`.
+          # return the log probabilities of the tokens in the response to understand the
+          # model's confidence in the transcription. `logprobs` only works with
+          # response_format set to `json` and only with the models `gpt-4o-transcribe` and
+          # `gpt-4o-mini-transcribe`.
           include: nil,
           # The language of the input audio. Supplying the input language in
-          #   [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
-          #   format will improve accuracy and latency.
+          # [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
+          # format will improve accuracy and latency.
           language: nil,
           # An optional text to guide the model's style or continue a previous audio
-          #   segment. The
-          #   [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
-          #   should match the audio language.
+          # segment. The
+          # [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+          # should match the audio language.
           prompt: nil,
           # The format of the output, in one of these options: `json`, `text`, `srt`,
-          #   `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
-          #   the only supported format is `json`.
+          # `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
+          # the only supported format is `json`.
           response_format: nil,
           # The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
-          #   output more random, while lower values like 0.2 will make it more focused and
-          #   deterministic. If set to 0, the model will use
-          #   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
-          #   automatically increase the temperature until certain thresholds are hit.
+          # output more random, while lower values like 0.2 will make it more focused and
+          # deterministic. If set to 0, the model will use
+          # [log probability](https://en.wikipedia.org/wiki/Log_probability) to
+          # automatically increase the temperature until certain thresholds are hit.
           temperature: nil,
           # The timestamp granularities to populate for this transcription.
-          #   `response_format` must be set `verbose_json` to use timestamp granularities.
-          #   Either or both of these options are supported: `word`, or `segment`. Note: There
-          #   is no additional latency for segment timestamps, but generating word timestamps
-          #   incurs additional latency.
+          # `response_format` must be set `verbose_json` to use timestamp granularities.
+          # Either or both of these options are supported: `word`, or `segment`. Note: There
+          # is no additional latency for segment timestamps, but generating word timestamps
+          # incurs additional latency.
           timestamp_granularities: nil,
           # There is no need to provide `stream:`. Instead, use `#create_streaming` or
-          #   `#create` for streaming and non-streaming use cases, respectively.
+          # `#create` for streaming and non-streaming use cases, respectively.
           stream: false,
           request_options: {}
         ); end
         # See {OpenAI::Resources::Audio::Transcriptions#create} for non-streaming
-        #   counterpart.
+        # counterpart.
         #
-        #   Transcribes audio into the input language.
+        # Transcribes audio into the input language.
         sig do
           params(
             file: T.any(IO, StringIO),
@@ -95,45 +95,45 @@ module OpenAI
         end
         def create_streaming(
           # The audio file object (not file name) to transcribe, in one of these formats:
-          #   flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+          # flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
           file:,
           # ID of the model to use. The options are `gpt-4o-transcribe`,
-          #   `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
-          #   Whisper V2 model).
+          # `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open source
+          # Whisper V2 model).
           model:,
           # Additional information to include in the transcription response. `logprobs` will
-          #   return the log probabilities of the tokens in the response to understand the
-          #   model's confidence in the transcription. `logprobs` only works with
-          #   response_format set to `json` and only with the models `gpt-4o-transcribe` and
-          #   `gpt-4o-mini-transcribe`.
+          # return the log probabilities of the tokens in the response to understand the
+          # model's confidence in the transcription. `logprobs` only works with
+          # response_format set to `json` and only with the models `gpt-4o-transcribe` and
+          # `gpt-4o-mini-transcribe`.
           include: nil,
           # The language of the input audio. Supplying the input language in
-          #   [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
-          #   format will improve accuracy and latency.
+          # [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
+          # format will improve accuracy and latency.
           language: nil,
           # An optional text to guide the model's style or continue a previous audio
-          #   segment. The
-          #   [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
-          #   should match the audio language.
+          # segment. The
+          # [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+          # should match the audio language.
           prompt: nil,
           # The format of the output, in one of these options: `json`, `text`, `srt`,
-          #   `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
-          #   the only supported format is `json`.
+          # `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`,
+          # the only supported format is `json`.
           response_format: nil,
           # The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
-          #   output more random, while lower values like 0.2 will make it more focused and
-          #   deterministic. If set to 0, the model will use
-          #   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
-          #   automatically increase the temperature until certain thresholds are hit.
+          # output more random, while lower values like 0.2 will make it more focused and
+          # deterministic. If set to 0, the model will use
+          # [log probability](https://en.wikipedia.org/wiki/Log_probability) to
+          # automatically increase the temperature until certain thresholds are hit.
           temperature: nil,
           # The timestamp granularities to populate for this transcription.
-          #   `response_format` must be set `verbose_json` to use timestamp granularities.
-          #   Either or both of these options are supported: `word`, or `segment`. Note: There
-          #   is no additional latency for segment timestamps, but generating word timestamps
-          #   incurs additional latency.
+          # `response_format` must be set `verbose_json` to use timestamp granularities.
+          # Either or both of these options are supported: `word`, or `segment`. Note: There
+          # is no additional latency for segment timestamps, but generating word timestamps
+          # incurs additional latency.
           timestamp_granularities: nil,
           # There is no need to provide `stream:`. Instead, use `#create_streaming` or
-          #   `#create` for streaming and non-streaming use cases, respectively.
+          # `#create` for streaming and non-streaming use cases, respectively.
           stream: true,
           request_options: {}
         ); end
diff --git a/rbi/lib/openai/resources/audio/translations.rbi b/rbi/lib/openai/resources/audio/translations.rbi
index 4ee7bcc0..d39ad32c 100644
--- a/rbi/lib/openai/resources/audio/translations.rbi
+++ b/rbi/lib/openai/resources/audio/translations.rbi
@@ -18,24 +18,24 @@ module OpenAI
         end
         def create(
           # The audio file object (not file name) translate, in one of these formats: flac,
-          #   mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+          # mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
           file:,
           # ID of the model to use. Only `whisper-1` (which is powered by our open source
-          #   Whisper V2 model) is currently available.
+          # Whisper V2 model) is currently available.
           model:,
           # An optional text to guide the model's style or continue a previous audio
-          #   segment. The
-          #   [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
-          #   should be in English.
+          # segment. The
+          # [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+          # should be in English.
           prompt: nil,
           # The format of the output, in one of these options: `json`, `text`, `srt`,
-          #   `verbose_json`, or `vtt`.
+          # `verbose_json`, or `vtt`.
           response_format: nil,
           # The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
-          #   output more random, while lower values like 0.2 will make it more focused and
-          #   deterministic. If set to 0, the model will use
-          #   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
-          #   automatically increase the temperature until certain thresholds are hit.
+          # output more random, while lower values like 0.2 will make it more focused and
+          # deterministic. If set to 0, the model will use
+          # [log probability](https://en.wikipedia.org/wiki/Log_probability) to
+          # automatically increase the temperature until certain thresholds are hit.
           temperature: nil,
           request_options: {}
         ); end
diff --git a/rbi/lib/openai/resources/batches.rbi b/rbi/lib/openai/resources/batches.rbi
index ec20cb07..390a8fa9 100644
--- a/rbi/lib/openai/resources/batches.rbi
+++ b/rbi/lib/openai/resources/batches.rbi
@@ -16,29 +16,29 @@ module OpenAI
       end
       def create(
         # The time frame within which the batch should be processed. Currently only `24h`
-        #   is supported.
+        # is supported.
         completion_window:,
         # The endpoint to be used for all requests in the batch. Currently
-        #   `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
-        #   are supported. Note that `/v1/embeddings` batches are also restricted to a
-        #   maximum of 50,000 embedding inputs across all requests in the batch.
+        # `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
+        # are supported. Note that `/v1/embeddings` batches are also restricted to a
+        # maximum of 50,000 embedding inputs across all requests in the batch.
         endpoint:,
         # The ID of an uploaded file that contains requests for the new batch.
         #
-        #   See [upload file](https://platform.openai.com/docs/api-reference/files/create)
-        #   for how to upload a file.
+        # See [upload file](https://platform.openai.com/docs/api-reference/files/create)
+        # for how to upload a file.
         #
-        #   Your input file must be formatted as a
-        #   [JSONL file](https://platform.openai.com/docs/api-reference/batch/request-input),
-        #   and must be uploaded with the purpose `batch`. The file can contain up to 50,000
-        #   requests, and can be up to 200 MB in size.
+        # Your input file must be formatted as a
+        # [JSONL file](https://platform.openai.com/docs/api-reference/batch/request-input),
+        # and must be uploaded with the purpose `batch`. The file can contain up to 50,000
+        # requests, and can be up to 200 MB in size.
         input_file_id:,
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         metadata: nil,
         request_options: {}
       ); end
@@ -66,18 +66,18 @@ module OpenAI
       end
       def list(
         # A cursor for use in pagination. `after` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #   fetch the next page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        # fetch the next page of the list.
         after: nil,
         # A limit on the number of objects to be returned. Limit can range between 1 and
-        #   100, and the default is 20.
+        # 100, and the default is 20.
         limit: nil,
         request_options: {}
       ); end
       # Cancels an in-progress batch. The batch will be in status `cancelling` for up to
-      #   10 minutes, before changing to `cancelled`, where it will have partial results
-      #   (if any) available in the output file.
+      # 10 minutes, before changing to `cancelled`, where it will have partial results
+      # (if any) available in the output file.
       sig do
         params(
           batch_id: String,
diff --git a/rbi/lib/openai/resources/beta/assistants.rbi b/rbi/lib/openai/resources/beta/assistants.rbi
index 277c81d2..580fbcba 100644
--- a/rbi/lib/openai/resources/beta/assistants.rbi
+++ b/rbi/lib/openai/resources/beta/assistants.rbi
@@ -39,71 +39,71 @@ module OpenAI
         end
         def create(
           # ID of the model to use. You can use the
-          #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-          #   see all of your available models, or see our
-          #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-          #   them.
+          # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+          # see all of your available models, or see our
+          # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+          # them.
           model:,
           # The description of the assistant. The maximum length is 512 characters.
           description: nil,
           # The system instructions that the assistant uses. The maximum length is 256,000
-          #   characters.
+          # characters.
           instructions: nil,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # The name of the assistant. The maximum length is 256 characters.
           name: nil,
           # **o-series models only**
           #
-          #   Constrains effort on reasoning for
-          #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-          #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-          #   result in faster responses and fewer tokens used on reasoning in a response.
+          # Constrains effort on reasoning for
+          # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+          # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+          # result in faster responses and fewer tokens used on reasoning in a response.
           reasoning_effort: nil,
           # Specifies the format that the model must output. Compatible with
-          #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-          #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-          #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+          # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+          # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+          # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
           #
-          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #   in the
-          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          # Outputs which ensures the model will match your supplied JSON schema. Learn more
+          # in the
+          # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-          #   message the model generates is valid JSON.
+          # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+          # message the model generates is valid JSON.
           #
-          #   **Important:** when using JSON mode, you **must** also instruct the model to
-          #   produce JSON yourself via a system or user message. Without this, the model may
-          #   generate an unending stream of whitespace until the generation reaches the token
-          #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-          #   the message content may be partially cut off if `finish_reason="length"`, which
-          #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-          #   max context length.
+          # **Important:** when using JSON mode, you **must** also instruct the model to
+          # produce JSON yourself via a system or user message. Without this, the model may
+          # generate an unending stream of whitespace until the generation reaches the token
+          # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+          # the message content may be partially cut off if `finish_reason="length"`, which
+          # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+          # max context length.
           response_format: nil,
           # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-          #   make the output more random, while lower values like 0.2 will make it more
-          #   focused and deterministic.
+          # make the output more random, while lower values like 0.2 will make it more
+          # focused and deterministic.
           temperature: nil,
           # A set of resources that are used by the assistant's tools. The resources are
-          #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   IDs.
+          # specific to the type of tool. For example, the `code_interpreter` tool requires
+          # a list of file IDs, while the `file_search` tool requires a list of vector store
+          # IDs.
           tool_resources: nil,
           # A list of tool enabled on the assistant. There can be a maximum of 128 tools per
-          #   assistant. Tools can be of types `code_interpreter`, `file_search`, or
-          #   `function`.
+          # assistant. Tools can be of types `code_interpreter`, `file_search`, or
+          # `function`.
           tools: nil,
           # An alternative to sampling with temperature, called nucleus sampling, where the
-          #   model considers the results of the tokens with top_p probability mass. So 0.1
-          #   means only the tokens comprising the top 10% probability mass are considered.
+          # model considers the results of the tokens with top_p probability mass. So 0.1
+          # means only the tokens comprising the top 10% probability mass are considered.
           #
-          #   We generally recommend altering this or temperature but not both.
+          # We generally recommend altering this or temperature but not both.
           top_p: nil,
           request_options: {}
         ); end
@@ -160,69 +160,69 @@ module OpenAI
           # The description of the assistant. The maximum length is 512 characters.
           description: nil,
           # The system instructions that the assistant uses. The maximum length is 256,000
-          #   characters.
+          # characters.
           instructions: nil,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # ID of the model to use. You can use the
-          #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-          #   see all of your available models, or see our
-          #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-          #   them.
+          # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+          # see all of your available models, or see our
+          # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+          # them.
           model: nil,
           # The name of the assistant. The maximum length is 256 characters.
           name: nil,
           # **o-series models only**
           #
-          #   Constrains effort on reasoning for
-          #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-          #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-          #   result in faster responses and fewer tokens used on reasoning in a response.
+          # Constrains effort on reasoning for
+          # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+          # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+          # result in faster responses and fewer tokens used on reasoning in a response.
           reasoning_effort: nil,
           # Specifies the format that the model must output. Compatible with
-          #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-          #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-          #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+          # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+          # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+          # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
           #
-          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #   in the
-          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          # Outputs which ensures the model will match your supplied JSON schema. Learn more
+          # in the
+          # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-          #   message the model generates is valid JSON.
+          # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+          # message the model generates is valid JSON.
           #
-          #   **Important:** when using JSON mode, you **must** also instruct the model to
-          #   produce JSON yourself via a system or user message. Without this, the model may
-          #   generate an unending stream of whitespace until the generation reaches the token
-          #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-          #   the message content may be partially cut off if `finish_reason="length"`, which
-          #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-          #   max context length.
+          # **Important:** when using JSON mode, you **must** also instruct the model to
+          # produce JSON yourself via a system or user message. Without this, the model may
+          # generate an unending stream of whitespace until the generation reaches the token
+          # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+          # the message content may be partially cut off if `finish_reason="length"`, which
+          # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+          # max context length.
           response_format: nil,
           # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-          #   make the output more random, while lower values like 0.2 will make it more
-          #   focused and deterministic.
+          # make the output more random, while lower values like 0.2 will make it more
+          # focused and deterministic.
           temperature: nil,
           # A set of resources that are used by the assistant's tools. The resources are
-          #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   IDs.
+          # specific to the type of tool. For example, the `code_interpreter` tool requires
+          # a list of file IDs, while the `file_search` tool requires a list of vector store
+          # IDs.
           tool_resources: nil,
           # A list of tool enabled on the assistant. There can be a maximum of 128 tools per
-          #   assistant. Tools can be of types `code_interpreter`, `file_search`, or
-          #   `function`.
+          # assistant. Tools can be of types `code_interpreter`, `file_search`, or
+          # `function`.
           tools: nil,
           # An alternative to sampling with temperature, called nucleus sampling, where the
-          #   model considers the results of the tokens with top_p probability mass. So 0.1
-          #   means only the tokens comprising the top 10% probability mass are considered.
+          # model considers the results of the tokens with top_p probability mass. So 0.1
+          # means only the tokens comprising the top 10% probability mass are considered.
           #
-          #   We generally recommend altering this or temperature but not both.
+          # We generally recommend altering this or temperature but not both.
           top_p: nil,
           request_options: {}
         ); end
@@ -239,20 +239,20 @@ module OpenAI
         end
         def list(
           # A cursor for use in pagination. `after` is an object ID that defines your place
-          #   in the list. For instance, if you make a list request and receive 100 objects,
-          #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-          #   fetch the next page of the list.
+          # in the list. For instance, if you make a list request and receive 100 objects,
+          # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+          # fetch the next page of the list.
           after: nil,
           # A cursor for use in pagination. `before` is an object ID that defines your place
-          #   in the list. For instance, if you make a list request and receive 100 objects,
-          #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-          #   to fetch the previous page of the list.
+          # in the list. For instance, if you make a list request and receive 100 objects,
+          # starting with obj_foo, your subsequent call can include before=obj_foo in order
+          # to fetch the previous page of the list.
           before: nil,
           # A limit on the number of objects to be returned. Limit can range between 1 and
-          #   100, and the default is 20.
+          # 100, and the default is 20.
           limit: nil,
           # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #   order and `desc` for descending order.
+          # order and `desc` for descending order.
           order: nil,
           request_options: {}
         ); end
diff --git a/rbi/lib/openai/resources/beta/threads.rbi b/rbi/lib/openai/resources/beta/threads.rbi
index 07a8d939..316bbca4 100644
--- a/rbi/lib/openai/resources/beta/threads.rbi
+++ b/rbi/lib/openai/resources/beta/threads.rbi
@@ -22,19 +22,19 @@ module OpenAI
         end
         def create(
           # A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
-          #   start the thread with.
+          # start the thread with.
           messages: nil,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # A set of resources that are made available to the assistant's tools in this
-          #   thread. The resources are specific to the type of tool. For example, the
-          #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   tool requires a list of vector store IDs.
+          # thread. The resources are specific to the type of tool. For example, the
+          # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          # tool requires a list of vector store IDs.
           tool_resources: nil,
           request_options: {}
         ); end
@@ -65,16 +65,16 @@ module OpenAI
           # The ID of the thread to modify. Only the `metadata` can be modified.
           thread_id,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # A set of resources that are made available to the assistant's tools in this
-          #   thread. The resources are specific to the type of tool. For example, the
-          #   `code_interpreter` tool requires a list of file IDs, while the `file_search`
-          #   tool requires a list of vector store IDs.
+          # thread. The resources are specific to the type of tool. For example, the
+          # `code_interpreter` tool requires a list of file IDs, while the `file_search`
+          # tool requires a list of vector store IDs.
           tool_resources: nil,
           request_options: {}
         ); end
@@ -93,7 +93,7 @@ module OpenAI
         ); end
         # See {OpenAI::Resources::Beta::Threads#stream_raw} for streaming counterpart.
         #
-        #   Create a thread and run it in one request.
+        # Create a thread and run it in one request.
         sig do
           params(
             assistant_id: String,
@@ -143,102 +143,102 @@ module OpenAI
         end
         def create_and_run(
           # The ID of the
-          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
-          #   execute this run.
+          # [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+          # execute this run.
           assistant_id:,
           # Override the default system message of the assistant. This is useful for
-          #   modifying the behavior on a per-run basis.
+          # modifying the behavior on a per-run basis.
           instructions: nil,
           # The maximum number of completion tokens that may be used over the course of the
-          #   run. The run will make a best effort to use only the number of completion tokens
-          #   specified, across multiple turns of the run. If the run exceeds the number of
-          #   completion tokens specified, the run will end with status `incomplete`. See
-          #   `incomplete_details` for more info.
+          # run. The run will make a best effort to use only the number of completion tokens
+          # specified, across multiple turns of the run. If the run exceeds the number of
+          # completion tokens specified, the run will end with status `incomplete`. See
+          # `incomplete_details` for more info.
           max_completion_tokens: nil,
           # The maximum number of prompt tokens that may be used over the course of the run.
-          #   The run will make a best effort to use only the number of prompt tokens
-          #   specified, across multiple turns of the run. If the run exceeds the number of
-          #   prompt tokens specified, the run will end with status `incomplete`. See
-          #   `incomplete_details` for more info.
+          # The run will make a best effort to use only the number of prompt tokens
+          # specified, across multiple turns of the run. If the run exceeds the number of
+          # prompt tokens specified, the run will end with status `incomplete`. See
+          # `incomplete_details` for more info.
           max_prompt_tokens: nil,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-          #   be used to execute this run. If a value is provided here, it will override the
-          #   model associated with the assistant. If not, the model associated with the
-          #   assistant will be used.
+          # be used to execute this run. If a value is provided here, it will override the
+          # model associated with the assistant. If not, the model associated with the
+          # assistant will be used.
           model: nil,
           # Whether to enable
-          #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-          #   during tool use.
+          # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+          # during tool use.
           parallel_tool_calls: nil,
           # Specifies the format that the model must output. Compatible with
-          #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-          #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-          #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+          # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+          # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+          # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
           #
-          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #   in the
-          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          # Outputs which ensures the model will match your supplied JSON schema. Learn more
+          # in the
+          # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-          #   message the model generates is valid JSON.
+          # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+          # message the model generates is valid JSON.
           #
-          #   **Important:** when using JSON mode, you **must** also instruct the model to
-          #   produce JSON yourself via a system or user message. Without this, the model may
-          #   generate an unending stream of whitespace until the generation reaches the token
-          #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-          #   the message content may be partially cut off if `finish_reason="length"`, which
-          #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-          #   max context length.
+          # **Important:** when using JSON mode, you **must** also instruct the model to
+          # produce JSON yourself via a system or user message. Without this, the model may
+          # generate an unending stream of whitespace until the generation reaches the token
+          # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+          # the message content may be partially cut off if `finish_reason="length"`, which
+          # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+          # max context length.
           response_format: nil,
           # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-          #   make the output more random, while lower values like 0.2 will make it more
-          #   focused and deterministic.
+          # make the output more random, while lower values like 0.2 will make it more
+          # focused and deterministic.
           temperature: nil,
           # Options to create a new thread. If no thread is provided when running a request,
-          #   an empty thread will be created.
+          # an empty thread will be created.
           thread: nil,
           # Controls which (if any) tool is called by the model. `none` means the model will
-          #   not call any tools and instead generates a message. `auto` is the default value
-          #   and means the model can pick between generating a message or calling one or more
-          #   tools. `required` means the model must call one or more tools before responding
-          #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
-          #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-          #   call that tool.
+          # not call any tools and instead generates a message. `auto` is the default value
+          # and means the model can pick between generating a message or calling one or more
+          # tools. `required` means the model must call one or more tools before responding
+          # to the user. Specifying a particular tool like `{"type": "file_search"}` or
+          # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+          # call that tool.
           tool_choice: nil,
           # A set of resources that are used by the assistant's tools. The resources are
-          #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   IDs.
+          # specific to the type of tool. For example, the `code_interpreter` tool requires
+          # a list of file IDs, while the `file_search` tool requires a list of vector store
+          # IDs.
           tool_resources: nil,
           # Override the tools the assistant can use for this run. This is useful for
-          #   modifying the behavior on a per-run basis.
+          # modifying the behavior on a per-run basis.
           tools: nil,
           # An alternative to sampling with temperature, called nucleus sampling, where the
-          #   model considers the results of the tokens with top_p probability mass. So 0.1
-          #   means only the tokens comprising the top 10% probability mass are considered.
+          # model considers the results of the tokens with top_p probability mass. So 0.1
+          # means only the tokens comprising the top 10% probability mass are considered.
           #
-          #   We generally recommend altering this or temperature but not both.
+          # We generally recommend altering this or temperature but not both.
           top_p: nil,
           # Controls for how a thread will be truncated prior to the run. Use this to
-          #   control the intial context window of the run.
+          # control the intial context window of the run.
           truncation_strategy: nil,
           # There is no need to provide `stream:`. Instead, use `#stream_raw` or
-          #   `#create_and_run` for streaming and non-streaming use cases, respectively.
+          # `#create_and_run` for streaming and non-streaming use cases, respectively.
           stream: false,
           request_options: {}
         ); end
         # See {OpenAI::Resources::Beta::Threads#create_and_run} for non-streaming
-        #   counterpart.
+        # counterpart.
         #
-        #   Create a thread and run it in one request.
+        # Create a thread and run it in one request.
         sig do
           params(
             assistant_id: String,
@@ -317,95 +317,95 @@ module OpenAI
         end
         def stream_raw(
           # The ID of the
-          #   [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
-          #   execute this run.
+          # [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+          # execute this run.
           assistant_id:,
           # Override the default system message of the assistant. This is useful for
-          #   modifying the behavior on a per-run basis.
+          # modifying the behavior on a per-run basis.
           instructions: nil,
           # The maximum number of completion tokens that may be used over the course of the
-          #   run. The run will make a best effort to use only the number of completion tokens
-          #   specified, across multiple turns of the run. If the run exceeds the number of
-          #   completion tokens specified, the run will end with status `incomplete`. See
-          #   `incomplete_details` for more info.
+          # run. The run will make a best effort to use only the number of completion tokens
+          # specified, across multiple turns of the run. If the run exceeds the number of
+          # completion tokens specified, the run will end with status `incomplete`. See
+          # `incomplete_details` for more info.
           max_completion_tokens: nil,
           # The maximum number of prompt tokens that may be used over the course of the run.
-          #   The run will make a best effort to use only the number of prompt tokens
-          #   specified, across multiple turns of the run. If the run exceeds the number of
-          #   prompt tokens specified, the run will end with status `incomplete`. See
-          #   `incomplete_details` for more info.
+          # The run will make a best effort to use only the number of prompt tokens
+          # specified, across multiple turns of the run. If the run exceeds the number of
+          # prompt tokens specified, the run will end with status `incomplete`. See
+          # `incomplete_details` for more info.
           max_prompt_tokens: nil,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
-          #   be used to execute this run. If a value is provided here, it will override the
-          #   model associated with the assistant. If not, the model associated with the
-          #   assistant will be used.
+          # be used to execute this run. If a value is provided here, it will override the
+          # model associated with the assistant. If not, the model associated with the
+          # assistant will be used.
           model: nil,
           # Whether to enable
-          #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-          #   during tool use.
+          # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+          # during tool use.
           parallel_tool_calls: nil,
           # Specifies the format that the model must output. Compatible with
-          #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-          #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-          #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+          # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+          # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+          # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
           #
-          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #   in the
-          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          # Outputs which ensures the model will match your supplied JSON schema. Learn more
+          # in the
+          # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-          #   message the model generates is valid JSON.
+          # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+          # message the model generates is valid JSON.
           #
-          #   **Important:** when using JSON mode, you **must** also instruct the model to
-          #   produce JSON yourself via a system or user message. Without this, the model may
-          #   generate an unending stream of whitespace until the generation reaches the token
-          #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-          #   the message content may be partially cut off if `finish_reason="length"`, which
-          #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-          #   max context length.
+          # **Important:** when using JSON mode, you **must** also instruct the model to
+          # produce JSON yourself via a system or user message. Without this, the model may
+          # generate an unending stream of whitespace until the generation reaches the token
+          # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+          # the message content may be partially cut off if `finish_reason="length"`, which
+          # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+          # max context length.
           response_format: nil,
           # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-          #   make the output more random, while lower values like 0.2 will make it more
-          #   focused and deterministic.
+          # make the output more random, while lower values like 0.2 will make it more
+          # focused and deterministic.
           temperature: nil,
           # Options to create a new thread. If no thread is provided when running a request,
-          #   an empty thread will be created.
+          # an empty thread will be created.
           thread: nil,
           # Controls which (if any) tool is called by the model. `none` means the model will
-          #   not call any tools and instead generates a message. `auto` is the default value
-          #   and means the model can pick between generating a message or calling one or more
-          #   tools. `required` means the model must call one or more tools before responding
-          #   to the user. Specifying a particular tool like `{"type": "file_search"}` or
-          #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-          #   call that tool.
+          # not call any tools and instead generates a message. `auto` is the default value
+          # and means the model can pick between generating a message or calling one or more
+          # tools. `required` means the model must call one or more tools before responding
+          # to the user. Specifying a particular tool like `{"type": "file_search"}` or
+          # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+          # call that tool.
           tool_choice: nil,
           # A set of resources that are used by the assistant's tools. The resources are
-          #   specific to the type of tool. For example, the `code_interpreter` tool requires
-          #   a list of file IDs, while the `file_search` tool requires a list of vector store
-          #   IDs.
+          # specific to the type of tool. For example, the `code_interpreter` tool requires
+          # a list of file IDs, while the `file_search` tool requires a list of vector store
+          # IDs.
           tool_resources: nil,
           # Override the tools the assistant can use for this run. This is useful for
-          #   modifying the behavior on a per-run basis.
+          # modifying the behavior on a per-run basis.
           tools: nil,
           # An alternative to sampling with temperature, called nucleus sampling, where the
-          #   model considers the results of the tokens with top_p probability mass. So 0.1
-          #   means only the tokens comprising the top 10% probability mass are considered.
+          # model considers the results of the tokens with top_p probability mass. So 0.1
+          # means only the tokens comprising the top 10% probability mass are considered.
           #
-          #   We generally recommend altering this or temperature but not both.
+          # We generally recommend altering this or temperature but not both.
           top_p: nil,
           # Controls for how a thread will be truncated prior to the run. Use this to
-          #   control the intial context window of the run.
+          # control the intial context window of the run.
           truncation_strategy: nil,
           # There is no need to provide `stream:`. Instead, use `#stream_raw` or
-          #   `#create_and_run` for streaming and non-streaming use cases, respectively.
+          # `#create_and_run` for streaming and non-streaming use cases, respectively.
           stream: true,
           request_options: {}
         ); end
diff --git a/rbi/lib/openai/resources/beta/threads/messages.rbi b/rbi/lib/openai/resources/beta/threads/messages.rbi
index ac987e13..2d12cb7e 100644
--- a/rbi/lib/openai/resources/beta/threads/messages.rbi
+++ b/rbi/lib/openai/resources/beta/threads/messages.rbi
@@ -31,25 +31,25 @@ module OpenAI
           end
           def create(
             # The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
-            #   to create a message for.
+            # to create a message for.
             thread_id,
             # The text contents of the message.
             content:,
             # The role of the entity that is creating the message. Allowed values include:
             #
-            #   - `user`: Indicates the message is sent by an actual user and should be used in
-            #     most cases to represent user-generated messages.
-            #   - `assistant`: Indicates the message is generated by the assistant. Use this
-            #     value to insert messages from the assistant into the conversation.
+            # - `user`: Indicates the message is sent by an actual user and should be used in
+            #   most cases to represent user-generated messages.
+            # - `assistant`: Indicates the message is generated by the assistant. Use this
+            #   value to insert messages from the assistant into the conversation.
             role:,
             # A list of files attached to the message, and the tools they should be added to.
             attachments: nil,
             # Set of 16 key-value pairs that can be attached to an object. This can be useful
-            #   for storing additional information about the object in a structured format, and
-            #   querying for objects via API or the dashboard.
+            # for storing additional information about the object in a structured format, and
+            # querying for objects via API or the dashboard.
             #
-            #   Keys are strings with a maximum length of 64 characters. Values are strings with
-            #   a maximum length of 512 characters.
+            # Keys are strings with a maximum length of 64 characters. Values are strings with
+            # a maximum length of 512 characters.
             metadata: nil,
             request_options: {}
           ); end
@@ -66,7 +66,7 @@ module OpenAI
             # The ID of the message to retrieve.
             message_id,
             # The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
-            #   to which this message belongs.
+            # to which this message belongs.
             thread_id:,
             request_options: {}
           ); end
@@ -86,11 +86,11 @@ module OpenAI
             # Path param: The ID of the thread to which this message belongs.
             thread_id:,
             # Body param: Set of 16 key-value pairs that can be attached to an object. This
-            #   can be useful for storing additional information about the object in a
-            #   structured format, and querying for objects via API or the dashboard.
+            # can be useful for storing additional information about the object in a
+            # structured format, and querying for objects via API or the dashboard.
             #
-            #   Keys are strings with a maximum length of 64 characters. Values are strings with
-            #   a maximum length of 512 characters.
+            # Keys are strings with a maximum length of 64 characters. Values are strings with
+            # a maximum length of 512 characters.
             metadata: nil,
             request_options: {}
           ); end
@@ -109,23 +109,23 @@ module OpenAI
           end
           def list(
             # The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
-            #   the messages belong to.
+            # the messages belong to.
             thread_id,
             # A cursor for use in pagination. `after` is an object ID that defines your place
-            #   in the list. For instance, if you make a list request and receive 100 objects,
-            #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-            #   fetch the next page of the list.
+            # in the list. For instance, if you make a list request and receive 100 objects,
+            # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+            # fetch the next page of the list.
             after: nil,
             # A cursor for use in pagination. `before` is an object ID that defines your place
-            #   in the list. For instance, if you make a list request and receive 100 objects,
-            #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-            #   to fetch the previous page of the list.
+            # in the list. For instance, if you make a list request and receive 100 objects,
+            # starting with obj_foo, your subsequent call can include before=obj_foo in order
+            # to fetch the previous page of the list.
             before: nil,
             # A limit on the number of objects to be returned. Limit can range between 1 and
-            #   100, and the default is 20.
+            # 100, and the default is 20.
             limit: nil,
             # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-            #   order and `desc` for descending order.
+            # order and `desc` for descending order.
             order: nil,
             # Filter messages by the run ID that generated them.
             run_id: nil,
diff --git a/rbi/lib/openai/resources/beta/threads/runs.rbi b/rbi/lib/openai/resources/beta/threads/runs.rbi
index 09f55c13..e3a1216a 100644
--- a/rbi/lib/openai/resources/beta/threads/runs.rbi
+++ b/rbi/lib/openai/resources/beta/threads/runs.rbi
@@ -9,9 +9,9 @@ module OpenAI
           attr_reader :steps
 
           # See {OpenAI::Resources::Beta::Threads::Runs#create_stream_raw} for streaming
-          #   counterpart.
+          # counterpart.
           #
-          #   Create a run.
+          # Create a run.
           sig do
             params(
               thread_id: String,
@@ -68,120 +68,120 @@ module OpenAI
             # Path param: The ID of the thread to run.
             thread_id,
             # Body param: The ID of the
-            #   [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
-            #   execute this run.
+            # [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+            # execute this run.
             assistant_id:,
             # Query param: A list of additional fields to include in the response. Currently
-            #   the only supported value is
-            #   `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
-            #   search result content.
+            # the only supported value is
+            # `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
+            # search result content.
             #
-            #   See the
-            #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-            #   for more information.
+            # See the
+            # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+            # for more information.
             include: nil,
             # Body param: Appends additional instructions at the end of the instructions for
-            #   the run. This is useful for modifying the behavior on a per-run basis without
-            #   overriding other instructions.
+            # the run. This is useful for modifying the behavior on a per-run basis without
+            # overriding other instructions.
             additional_instructions: nil,
             # Body param: Adds additional messages to the thread before creating the run.
             additional_messages: nil,
             # Body param: Overrides the
-            #   [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
-            #   of the assistant. This is useful for modifying the behavior on a per-run basis.
+            # [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
+            # of the assistant. This is useful for modifying the behavior on a per-run basis.
             instructions: nil,
             # Body param: The maximum number of completion tokens that may be used over the
-            #   course of the run. The run will make a best effort to use only the number of
-            #   completion tokens specified, across multiple turns of the run. If the run
-            #   exceeds the number of completion tokens specified, the run will end with status
-            #   `incomplete`. See `incomplete_details` for more info.
+            # course of the run. The run will make a best effort to use only the number of
+            # completion tokens specified, across multiple turns of the run. If the run
+            # exceeds the number of completion tokens specified, the run will end with status
+            # `incomplete`. See `incomplete_details` for more info.
             max_completion_tokens: nil,
             # Body param: The maximum number of prompt tokens that may be used over the course
-            #   of the run. The run will make a best effort to use only the number of prompt
-            #   tokens specified, across multiple turns of the run. If the run exceeds the
-            #   number of prompt tokens specified, the run will end with status `incomplete`.
-            #   See `incomplete_details` for more info.
+            # of the run. The run will make a best effort to use only the number of prompt
+            # tokens specified, across multiple turns of the run. If the run exceeds the
+            # number of prompt tokens specified, the run will end with status `incomplete`.
+            # See `incomplete_details` for more info.
             max_prompt_tokens: nil,
             # Body param: Set of 16 key-value pairs that can be attached to an object. This
-            #   can be useful for storing additional information about the object in a
-            #   structured format, and querying for objects via API or the dashboard.
+            # can be useful for storing additional information about the object in a
+            # structured format, and querying for objects via API or the dashboard.
             #
-            #   Keys are strings with a maximum length of 64 characters. Values are strings with
-            #   a maximum length of 512 characters.
+            # Keys are strings with a maximum length of 64 characters. Values are strings with
+            # a maximum length of 512 characters.
             metadata: nil,
             # Body param: The ID of the
-            #   [Model](https://platform.openai.com/docs/api-reference/models) to be used to
-            #   execute this run. If a value is provided here, it will override the model
-            #   associated with the assistant. If not, the model associated with the assistant
-            #   will be used.
+            # [Model](https://platform.openai.com/docs/api-reference/models) to be used to
+            # execute this run. If a value is provided here, it will override the model
+            # associated with the assistant. If not, the model associated with the assistant
+            # will be used.
             model: nil,
             # Body param: Whether to enable
-            #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-            #   during tool use.
+            # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+            # during tool use.
             parallel_tool_calls: nil,
             # Body param: **o-series models only**
             #
-            #   Constrains effort on reasoning for
-            #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-            #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-            #   result in faster responses and fewer tokens used on reasoning in a response.
+            # Constrains effort on reasoning for
+            # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+            # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+            # result in faster responses and fewer tokens used on reasoning in a response.
             reasoning_effort: nil,
             # Body param: Specifies the format that the model must output. Compatible with
-            #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-            #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-            #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+            # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+            # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+            # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
             #
-            #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-            #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-            #   in the
-            #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+            # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+            # Outputs which ensures the model will match your supplied JSON schema. Learn more
+            # in the
+            # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
             #
-            #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-            #   message the model generates is valid JSON.
+            # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+            # message the model generates is valid JSON.
             #
-            #   **Important:** when using JSON mode, you **must** also instruct the model to
-            #   produce JSON yourself via a system or user message. Without this, the model may
-            #   generate an unending stream of whitespace until the generation reaches the token
-            #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-            #   the message content may be partially cut off if `finish_reason="length"`, which
-            #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-            #   max context length.
+            # **Important:** when using JSON mode, you **must** also instruct the model to
+            # produce JSON yourself via a system or user message. Without this, the model may
+            # generate an unending stream of whitespace until the generation reaches the token
+            # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+            # the message content may be partially cut off if `finish_reason="length"`, which
+            # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+            # max context length.
             response_format: nil,
             # Body param: What sampling temperature to use, between 0 and 2. Higher values
-            #   like 0.8 will make the output more random, while lower values like 0.2 will make
-            #   it more focused and deterministic.
+            # like 0.8 will make the output more random, while lower values like 0.2 will make
+            # it more focused and deterministic.
             temperature: nil,
             # Body param: Controls which (if any) tool is called by the model. `none` means
-            #   the model will not call any tools and instead generates a message. `auto` is the
-            #   default value and means the model can pick between generating a message or
-            #   calling one or more tools. `required` means the model must call one or more
-            #   tools before responding to the user. Specifying a particular tool like
-            #   `{"type": "file_search"}` or
-            #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-            #   call that tool.
+            # the model will not call any tools and instead generates a message. `auto` is the
+            # default value and means the model can pick between generating a message or
+            # calling one or more tools. `required` means the model must call one or more
+            # tools before responding to the user. Specifying a particular tool like
+            # `{"type": "file_search"}` or
+            # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+            # call that tool.
             tool_choice: nil,
             # Body param: Override the tools the assistant can use for this run. This is
-            #   useful for modifying the behavior on a per-run basis.
+            # useful for modifying the behavior on a per-run basis.
             tools: nil,
             # Body param: An alternative to sampling with temperature, called nucleus
-            #   sampling, where the model considers the results of the tokens with top_p
-            #   probability mass. So 0.1 means only the tokens comprising the top 10%
-            #   probability mass are considered.
+            # sampling, where the model considers the results of the tokens with top_p
+            # probability mass. So 0.1 means only the tokens comprising the top 10%
+            # probability mass are considered.
             #
-            #   We generally recommend altering this or temperature but not both.
+            # We generally recommend altering this or temperature but not both.
             top_p: nil,
             # Body param: Controls for how a thread will be truncated prior to the run. Use
-            #   this to control the intial context window of the run.
+            # this to control the intial context window of the run.
             truncation_strategy: nil,
             # There is no need to provide `stream:`. Instead, use `#create_stream_raw` or
-            #   `#create` for streaming and non-streaming use cases, respectively.
+            # `#create` for streaming and non-streaming use cases, respectively.
             stream: false,
             request_options: {}
           ); end
           # See {OpenAI::Resources::Beta::Threads::Runs#create} for non-streaming
-          #   counterpart.
+          # counterpart.
           #
-          #   Create a run.
+          # Create a run.
           sig do
             params(
               thread_id: String,
@@ -267,113 +267,113 @@ module OpenAI
             # Path param: The ID of the thread to run.
             thread_id,
             # Body param: The ID of the
-            #   [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
-            #   execute this run.
+            # [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
+            # execute this run.
             assistant_id:,
             # Query param: A list of additional fields to include in the response. Currently
-            #   the only supported value is
-            #   `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
-            #   search result content.
+            # the only supported value is
+            # `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
+            # search result content.
             #
-            #   See the
-            #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-            #   for more information.
+            # See the
+            # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+            # for more information.
             include: nil,
             # Body param: Appends additional instructions at the end of the instructions for
-            #   the run. This is useful for modifying the behavior on a per-run basis without
-            #   overriding other instructions.
+            # the run. This is useful for modifying the behavior on a per-run basis without
+            # overriding other instructions.
             additional_instructions: nil,
             # Body param: Adds additional messages to the thread before creating the run.
             additional_messages: nil,
             # Body param: Overrides the
-            #   [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
-            #   of the assistant. This is useful for modifying the behavior on a per-run basis.
+            # [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
+            # of the assistant. This is useful for modifying the behavior on a per-run basis.
             instructions: nil,
             # Body param: The maximum number of completion tokens that may be used over the
-            #   course of the run. The run will make a best effort to use only the number of
-            #   completion tokens specified, across multiple turns of the run. If the run
-            #   exceeds the number of completion tokens specified, the run will end with status
-            #   `incomplete`. See `incomplete_details` for more info.
+            # course of the run. The run will make a best effort to use only the number of
+            # completion tokens specified, across multiple turns of the run. If the run
+            # exceeds the number of completion tokens specified, the run will end with status
+            # `incomplete`. See `incomplete_details` for more info.
             max_completion_tokens: nil,
             # Body param: The maximum number of prompt tokens that may be used over the course
-            #   of the run. The run will make a best effort to use only the number of prompt
-            #   tokens specified, across multiple turns of the run. If the run exceeds the
-            #   number of prompt tokens specified, the run will end with status `incomplete`.
-            #   See `incomplete_details` for more info.
+            # of the run. The run will make a best effort to use only the number of prompt
+            # tokens specified, across multiple turns of the run. If the run exceeds the
+            # number of prompt tokens specified, the run will end with status `incomplete`.
+            # See `incomplete_details` for more info.
             max_prompt_tokens: nil,
             # Body param: Set of 16 key-value pairs that can be attached to an object. This
-            #   can be useful for storing additional information about the object in a
-            #   structured format, and querying for objects via API or the dashboard.
+            # can be useful for storing additional information about the object in a
+            # structured format, and querying for objects via API or the dashboard.
             #
-            #   Keys are strings with a maximum length of 64 characters. Values are strings with
-            #   a maximum length of 512 characters.
+            # Keys are strings with a maximum length of 64 characters. Values are strings with
+            # a maximum length of 512 characters.
             metadata: nil,
             # Body param: The ID of the
-            #   [Model](https://platform.openai.com/docs/api-reference/models) to be used to
-            #   execute this run. If a value is provided here, it will override the model
-            #   associated with the assistant. If not, the model associated with the assistant
-            #   will be used.
+            # [Model](https://platform.openai.com/docs/api-reference/models) to be used to
+            # execute this run. If a value is provided here, it will override the model
+            # associated with the assistant. If not, the model associated with the assistant
+            # will be used.
             model: nil,
             # Body param: Whether to enable
-            #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-            #   during tool use.
+            # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+            # during tool use.
             parallel_tool_calls: nil,
             # Body param: **o-series models only**
             #
-            #   Constrains effort on reasoning for
-            #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-            #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-            #   result in faster responses and fewer tokens used on reasoning in a response.
+            # Constrains effort on reasoning for
+            # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+            # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+            # result in faster responses and fewer tokens used on reasoning in a response.
             reasoning_effort: nil,
             # Body param: Specifies the format that the model must output. Compatible with
-            #   [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
-            #   [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
-            #   and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
+            # [GPT-4o](https://platform.openai.com/docs/models#gpt-4o),
+            # [GPT-4 Turbo](https://platform.openai.com/docs/models#gpt-4-turbo-and-gpt-4),
+            # and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
             #
-            #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-            #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-            #   in the
-            #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+            # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+            # Outputs which ensures the model will match your supplied JSON schema. Learn more
+            # in the
+            # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
             #
-            #   Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
-            #   message the model generates is valid JSON.
+            # Setting to `{ "type": "json_object" }` enables JSON mode, which ensures the
+            # message the model generates is valid JSON.
             #
-            #   **Important:** when using JSON mode, you **must** also instruct the model to
-            #   produce JSON yourself via a system or user message. Without this, the model may
-            #   generate an unending stream of whitespace until the generation reaches the token
-            #   limit, resulting in a long-running and seemingly "stuck" request. Also note that
-            #   the message content may be partially cut off if `finish_reason="length"`, which
-            #   indicates the generation exceeded `max_tokens` or the conversation exceeded the
-            #   max context length.
+            # **Important:** when using JSON mode, you **must** also instruct the model to
+            # produce JSON yourself via a system or user message. Without this, the model may
+            # generate an unending stream of whitespace until the generation reaches the token
+            # limit, resulting in a long-running and seemingly "stuck" request. Also note that
+            # the message content may be partially cut off if `finish_reason="length"`, which
+            # indicates the generation exceeded `max_tokens` or the conversation exceeded the
+            # max context length.
             response_format: nil,
             # Body param: What sampling temperature to use, between 0 and 2. Higher values
-            #   like 0.8 will make the output more random, while lower values like 0.2 will make
-            #   it more focused and deterministic.
+            # like 0.8 will make the output more random, while lower values like 0.2 will make
+            # it more focused and deterministic.
             temperature: nil,
             # Body param: Controls which (if any) tool is called by the model. `none` means
-            #   the model will not call any tools and instead generates a message. `auto` is the
-            #   default value and means the model can pick between generating a message or
-            #   calling one or more tools. `required` means the model must call one or more
-            #   tools before responding to the user. Specifying a particular tool like
-            #   `{"type": "file_search"}` or
-            #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-            #   call that tool.
+            # the model will not call any tools and instead generates a message. `auto` is the
+            # default value and means the model can pick between generating a message or
+            # calling one or more tools. `required` means the model must call one or more
+            # tools before responding to the user. Specifying a particular tool like
+            # `{"type": "file_search"}` or
+            # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+            # call that tool.
             tool_choice: nil,
             # Body param: Override the tools the assistant can use for this run. This is
-            #   useful for modifying the behavior on a per-run basis.
+            # useful for modifying the behavior on a per-run basis.
             tools: nil,
             # Body param: An alternative to sampling with temperature, called nucleus
-            #   sampling, where the model considers the results of the tokens with top_p
-            #   probability mass. So 0.1 means only the tokens comprising the top 10%
-            #   probability mass are considered.
+            # sampling, where the model considers the results of the tokens with top_p
+            # probability mass. So 0.1 means only the tokens comprising the top 10%
+            # probability mass are considered.
             #
-            #   We generally recommend altering this or temperature but not both.
+            # We generally recommend altering this or temperature but not both.
             top_p: nil,
             # Body param: Controls for how a thread will be truncated prior to the run. Use
-            #   this to control the intial context window of the run.
+            # this to control the intial context window of the run.
             truncation_strategy: nil,
             # There is no need to provide `stream:`. Instead, use `#create_stream_raw` or
-            #   `#create` for streaming and non-streaming use cases, respectively.
+            # `#create` for streaming and non-streaming use cases, respectively.
             stream: true,
             request_options: {}
           ); end
@@ -390,7 +390,7 @@ module OpenAI
             # The ID of the run to retrieve.
             run_id,
             # The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
-            #   that was run.
+            # that was run.
             thread_id:,
             request_options: {}
           ); end
@@ -408,14 +408,14 @@ module OpenAI
             # Path param: The ID of the run to modify.
             run_id,
             # Path param: The ID of the
-            #   [thread](https://platform.openai.com/docs/api-reference/threads) that was run.
+            # [thread](https://platform.openai.com/docs/api-reference/threads) that was run.
             thread_id:,
             # Body param: Set of 16 key-value pairs that can be attached to an object. This
-            #   can be useful for storing additional information about the object in a
-            #   structured format, and querying for objects via API or the dashboard.
+            # can be useful for storing additional information about the object in a
+            # structured format, and querying for objects via API or the dashboard.
             #
-            #   Keys are strings with a maximum length of 64 characters. Values are strings with
-            #   a maximum length of 512 characters.
+            # Keys are strings with a maximum length of 64 characters. Values are strings with
+            # a maximum length of 512 characters.
             metadata: nil,
             request_options: {}
           ); end
@@ -435,20 +435,20 @@ module OpenAI
             # The ID of the thread the run belongs to.
             thread_id,
             # A cursor for use in pagination. `after` is an object ID that defines your place
-            #   in the list. For instance, if you make a list request and receive 100 objects,
-            #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-            #   fetch the next page of the list.
+            # in the list. For instance, if you make a list request and receive 100 objects,
+            # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+            # fetch the next page of the list.
             after: nil,
             # A cursor for use in pagination. `before` is an object ID that defines your place
-            #   in the list. For instance, if you make a list request and receive 100 objects,
-            #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-            #   to fetch the previous page of the list.
+            # in the list. For instance, if you make a list request and receive 100 objects,
+            # starting with obj_foo, your subsequent call can include before=obj_foo in order
+            # to fetch the previous page of the list.
             before: nil,
             # A limit on the number of objects to be returned. Limit can range between 1 and
-            #   100, and the default is 20.
+            # 100, and the default is 20.
             limit: nil,
             # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-            #   order and `desc` for descending order.
+            # order and `desc` for descending order.
             order: nil,
             request_options: {}
           ); end
@@ -469,12 +469,12 @@ module OpenAI
             request_options: {}
           ); end
           # See {OpenAI::Resources::Beta::Threads::Runs#submit_tool_outputs_stream_raw} for
-          #   streaming counterpart.
+          # streaming counterpart.
           #
-          #   When a run has the `status: "requires_action"` and `required_action.type` is
-          #   `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
-          #   tool calls once they're all completed. All outputs must be submitted in a single
-          #   request.
+          # When a run has the `status: "requires_action"` and `required_action.type` is
+          # `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
+          # tool calls once they're all completed. All outputs must be submitted in a single
+          # request.
           sig do
             params(
               run_id: String,
@@ -489,24 +489,24 @@ module OpenAI
             # Path param: The ID of the run that requires the tool output submission.
             run_id,
             # Path param: The ID of the
-            #   [thread](https://platform.openai.com/docs/api-reference/threads) to which this
-            #   run belongs.
+            # [thread](https://platform.openai.com/docs/api-reference/threads) to which this
+            # run belongs.
             thread_id:,
             # Body param: A list of tools for which the outputs are being submitted.
             tool_outputs:,
             # There is no need to provide `stream:`. Instead, use
-            #   `#submit_tool_outputs_stream_raw` or `#submit_tool_outputs` for streaming and
-            #   non-streaming use cases, respectively.
+            # `#submit_tool_outputs_stream_raw` or `#submit_tool_outputs` for streaming and
+            # non-streaming use cases, respectively.
             stream: false,
             request_options: {}
           ); end
           # See {OpenAI::Resources::Beta::Threads::Runs#submit_tool_outputs} for
-          #   non-streaming counterpart.
+          # non-streaming counterpart.
           #
-          #   When a run has the `status: "requires_action"` and `required_action.type` is
-          #   `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
-          #   tool calls once they're all completed. All outputs must be submitted in a single
-          #   request.
+          # When a run has the `status: "requires_action"` and `required_action.type` is
+          # `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
+          # tool calls once they're all completed. All outputs must be submitted in a single
+          # request.
           sig do
             params(
               run_id: String,
@@ -550,14 +550,14 @@ module OpenAI
             # Path param: The ID of the run that requires the tool output submission.
             run_id,
             # Path param: The ID of the
-            #   [thread](https://platform.openai.com/docs/api-reference/threads) to which this
-            #   run belongs.
+            # [thread](https://platform.openai.com/docs/api-reference/threads) to which this
+            # run belongs.
             thread_id:,
             # Body param: A list of tools for which the outputs are being submitted.
             tool_outputs:,
             # There is no need to provide `stream:`. Instead, use
-            #   `#submit_tool_outputs_stream_raw` or `#submit_tool_outputs` for streaming and
-            #   non-streaming use cases, respectively.
+            # `#submit_tool_outputs_stream_raw` or `#submit_tool_outputs` for streaming and
+            # non-streaming use cases, respectively.
             stream: true,
             request_options: {}
           ); end
diff --git a/rbi/lib/openai/resources/beta/threads/runs/steps.rbi b/rbi/lib/openai/resources/beta/threads/runs/steps.rbi
index 86935b35..949e7d14 100644
--- a/rbi/lib/openai/resources/beta/threads/runs/steps.rbi
+++ b/rbi/lib/openai/resources/beta/threads/runs/steps.rbi
@@ -25,13 +25,13 @@ module OpenAI
               # Path param: The ID of the run to which the run step belongs.
               run_id:,
               # Query param: A list of additional fields to include in the response. Currently
-              #   the only supported value is
-              #   `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
-              #   search result content.
+              # the only supported value is
+              # `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
+              # search result content.
               #
-              #   See the
-              #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-              #   for more information.
+              # See the
+              # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+              # for more information.
               include: nil,
               request_options: {}
             ); end
@@ -55,29 +55,29 @@ module OpenAI
               # Path param: The ID of the thread the run and run steps belong to.
               thread_id:,
               # Query param: A cursor for use in pagination. `after` is an object ID that
-              #   defines your place in the list. For instance, if you make a list request and
-              #   receive 100 objects, ending with obj_foo, your subsequent call can include
-              #   after=obj_foo in order to fetch the next page of the list.
+              # defines your place in the list. For instance, if you make a list request and
+              # receive 100 objects, ending with obj_foo, your subsequent call can include
+              # after=obj_foo in order to fetch the next page of the list.
               after: nil,
               # Query param: A cursor for use in pagination. `before` is an object ID that
-              #   defines your place in the list. For instance, if you make a list request and
-              #   receive 100 objects, starting with obj_foo, your subsequent call can include
-              #   before=obj_foo in order to fetch the previous page of the list.
+              # defines your place in the list. For instance, if you make a list request and
+              # receive 100 objects, starting with obj_foo, your subsequent call can include
+              # before=obj_foo in order to fetch the previous page of the list.
               before: nil,
               # Query param: A list of additional fields to include in the response. Currently
-              #   the only supported value is
-              #   `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
-              #   search result content.
+              # the only supported value is
+              # `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
+              # search result content.
               #
-              #   See the
-              #   [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
-              #   for more information.
+              # See the
+              # [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+              # for more information.
               include: nil,
               # Query param: A limit on the number of objects to be returned. Limit can range
-              #   between 1 and 100, and the default is 20.
+              # between 1 and 100, and the default is 20.
               limit: nil,
               # Query param: Sort order by the `created_at` timestamp of the objects. `asc` for
-              #   ascending order and `desc` for descending order.
+              # ascending order and `desc` for descending order.
               order: nil,
               request_options: {}
             ); end
diff --git a/rbi/lib/openai/resources/chat/completions.rbi b/rbi/lib/openai/resources/chat/completions.rbi
index 34c8a36d..672459b2 100644
--- a/rbi/lib/openai/resources/chat/completions.rbi
+++ b/rbi/lib/openai/resources/chat/completions.rbi
@@ -9,23 +9,23 @@ module OpenAI
 
         # See {OpenAI::Resources::Chat::Completions#stream_raw} for streaming counterpart.
         #
-        #   **Starting a new project?** We recommend trying
-        #   [Responses](https://platform.openai.com/docs/api-reference/responses) to take
-        #   advantage of the latest OpenAI platform features. Compare
-        #   [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
+        # **Starting a new project?** We recommend trying
+        # [Responses](https://platform.openai.com/docs/api-reference/responses) to take
+        # advantage of the latest OpenAI platform features. Compare
+        # [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
         #
-        #   ---
+        # ---
         #
-        #   Creates a model response for the given chat conversation. Learn more in the
-        #   [text generation](https://platform.openai.com/docs/guides/text-generation),
-        #   [vision](https://platform.openai.com/docs/guides/vision), and
-        #   [audio](https://platform.openai.com/docs/guides/audio) guides.
+        # Creates a model response for the given chat conversation. Learn more in the
+        # [text generation](https://platform.openai.com/docs/guides/text-generation),
+        # [vision](https://platform.openai.com/docs/guides/vision), and
+        # [audio](https://platform.openai.com/docs/guides/audio) guides.
         #
-        #   Parameter support can differ depending on the model used to generate the
-        #   response, particularly for newer reasoning models. Parameters that are only
-        #   supported for reasoning models are noted below. For the current state of
-        #   unsupported parameters in reasoning models,
-        #   [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
+        # Parameter support can differ depending on the model used to generate the
+        # response, particularly for newer reasoning models. Parameters that are only
+        # supported for reasoning models are noted below. For the current state of
+        # unsupported parameters in reasoning models,
+        # [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
         sig do
           params(
             messages: T::Array[
@@ -88,212 +88,212 @@ module OpenAI
         end
         def create(
           # A list of messages comprising the conversation so far. Depending on the
-          #   [model](https://platform.openai.com/docs/models) you use, different message
-          #   types (modalities) are supported, like
-          #   [text](https://platform.openai.com/docs/guides/text-generation),
-          #   [images](https://platform.openai.com/docs/guides/vision), and
-          #   [audio](https://platform.openai.com/docs/guides/audio).
+          # [model](https://platform.openai.com/docs/models) you use, different message
+          # types (modalities) are supported, like
+          # [text](https://platform.openai.com/docs/guides/text-generation),
+          # [images](https://platform.openai.com/docs/guides/vision), and
+          # [audio](https://platform.openai.com/docs/guides/audio).
           messages:,
           # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-          #   wide range of models with different capabilities, performance characteristics,
-          #   and price points. Refer to the
-          #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-          #   available models.
+          # wide range of models with different capabilities, performance characteristics,
+          # and price points. Refer to the
+          # [model guide](https://platform.openai.com/docs/models) to browse and compare
+          # available models.
           model:,
           # Parameters for audio output. Required when audio output is requested with
-          #   `modalities: ["audio"]`.
-          #   [Learn more](https://platform.openai.com/docs/guides/audio).
+          # `modalities: ["audio"]`.
+          # [Learn more](https://platform.openai.com/docs/guides/audio).
           audio: nil,
           # Number between -2.0 and 2.0. Positive values penalize new tokens based on their
-          #   existing frequency in the text so far, decreasing the model's likelihood to
-          #   repeat the same line verbatim.
+          # existing frequency in the text so far, decreasing the model's likelihood to
+          # repeat the same line verbatim.
           frequency_penalty: nil,
           # Deprecated in favor of `tool_choice`.
           #
-          #   Controls which (if any) function is called by the model.
+          # Controls which (if any) function is called by the model.
           #
-          #   `none` means the model will not call a function and instead generates a message.
+          # `none` means the model will not call a function and instead generates a message.
           #
-          #   `auto` means the model can pick between generating a message or calling a
-          #   function.
+          # `auto` means the model can pick between generating a message or calling a
+          # function.
           #
-          #   Specifying a particular function via `{"name": "my_function"}` forces the model
-          #   to call that function.
+          # Specifying a particular function via `{"name": "my_function"}` forces the model
+          # to call that function.
           #
-          #   `none` is the default when no functions are present. `auto` is the default if
-          #   functions are present.
+          # `none` is the default when no functions are present. `auto` is the default if
+          # functions are present.
           function_call: nil,
           # Deprecated in favor of `tools`.
           #
-          #   A list of functions the model may generate JSON inputs for.
+          # A list of functions the model may generate JSON inputs for.
           functions: nil,
           # Modify the likelihood of specified tokens appearing in the completion.
           #
-          #   Accepts a JSON object that maps tokens (specified by their token ID in the
-          #   tokenizer) to an associated bias value from -100 to 100. Mathematically, the
-          #   bias is added to the logits generated by the model prior to sampling. The exact
-          #   effect will vary per model, but values between -1 and 1 should decrease or
-          #   increase likelihood of selection; values like -100 or 100 should result in a ban
-          #   or exclusive selection of the relevant token.
+          # Accepts a JSON object that maps tokens (specified by their token ID in the
+          # tokenizer) to an associated bias value from -100 to 100. Mathematically, the
+          # bias is added to the logits generated by the model prior to sampling. The exact
+          # effect will vary per model, but values between -1 and 1 should decrease or
+          # increase likelihood of selection; values like -100 or 100 should result in a ban
+          # or exclusive selection of the relevant token.
           logit_bias: nil,
           # Whether to return log probabilities of the output tokens or not. If true,
-          #   returns the log probabilities of each output token returned in the `content` of
-          #   `message`.
+          # returns the log probabilities of each output token returned in the `content` of
+          # `message`.
           logprobs: nil,
           # An upper bound for the number of tokens that can be generated for a completion,
-          #   including visible output tokens and
-          #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+          # including visible output tokens and
+          # [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
           max_completion_tokens: nil,
           # The maximum number of [tokens](/tokenizer) that can be generated in the chat
-          #   completion. This value can be used to control
-          #   [costs](https://openai.com/api/pricing/) for text generated via API.
+          # completion. This value can be used to control
+          # [costs](https://openai.com/api/pricing/) for text generated via API.
           #
-          #   This value is now deprecated in favor of `max_completion_tokens`, and is not
-          #   compatible with
-          #   [o1 series models](https://platform.openai.com/docs/guides/reasoning).
+          # This value is now deprecated in favor of `max_completion_tokens`, and is not
+          # compatible with
+          # [o1 series models](https://platform.openai.com/docs/guides/reasoning).
           max_tokens: nil,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # Output types that you would like the model to generate. Most models are capable
-          #   of generating text, which is the default:
+          # of generating text, which is the default:
           #
-          #   `["text"]`
+          # `["text"]`
           #
-          #   The `gpt-4o-audio-preview` model can also be used to
-          #   [generate audio](https://platform.openai.com/docs/guides/audio). To request that
-          #   this model generate both text and audio responses, you can use:
+          # The `gpt-4o-audio-preview` model can also be used to
+          # [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+          # this model generate both text and audio responses, you can use:
           #
-          #   `["text", "audio"]`
+          # `["text", "audio"]`
           modalities: nil,
           # How many chat completion choices to generate for each input message. Note that
-          #   you will be charged based on the number of generated tokens across all of the
-          #   choices. Keep `n` as `1` to minimize costs.
+          # you will be charged based on the number of generated tokens across all of the
+          # choices. Keep `n` as `1` to minimize costs.
           n: nil,
           # Whether to enable
-          #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-          #   during tool use.
+          # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+          # during tool use.
           parallel_tool_calls: nil,
           # Static predicted output content, such as the content of a text file that is
-          #   being regenerated.
+          # being regenerated.
           prediction: nil,
           # Number between -2.0 and 2.0. Positive values penalize new tokens based on
-          #   whether they appear in the text so far, increasing the model's likelihood to
-          #   talk about new topics.
+          # whether they appear in the text so far, increasing the model's likelihood to
+          # talk about new topics.
           presence_penalty: nil,
           # **o-series models only**
           #
-          #   Constrains effort on reasoning for
-          #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-          #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-          #   result in faster responses and fewer tokens used on reasoning in a response.
+          # Constrains effort on reasoning for
+          # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+          # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+          # result in faster responses and fewer tokens used on reasoning in a response.
           reasoning_effort: nil,
           # An object specifying the format that the model must output.
           #
-          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #   in the
-          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          # Outputs which ensures the model will match your supplied JSON schema. Learn more
+          # in the
+          # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-          #   ensures the message the model generates is valid JSON. Using `json_schema` is
-          #   preferred for models that support it.
+          # Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+          # ensures the message the model generates is valid JSON. Using `json_schema` is
+          # preferred for models that support it.
           response_format: nil,
           # This feature is in Beta. If specified, our system will make a best effort to
-          #   sample deterministically, such that repeated requests with the same `seed` and
-          #   parameters should return the same result. Determinism is not guaranteed, and you
-          #   should refer to the `system_fingerprint` response parameter to monitor changes
-          #   in the backend.
+          # sample deterministically, such that repeated requests with the same `seed` and
+          # parameters should return the same result. Determinism is not guaranteed, and you
+          # should refer to the `system_fingerprint` response parameter to monitor changes
+          # in the backend.
           seed: nil,
           # Specifies the latency tier to use for processing the request. This parameter is
-          #   relevant for customers subscribed to the scale tier service:
-          #
-          #   - If set to 'auto', and the Project is Scale tier enabled, the system will
-          #     utilize scale tier credits until they are exhausted.
-          #   - If set to 'auto', and the Project is not Scale tier enabled, the request will
-          #     be processed using the default service tier with a lower uptime SLA and no
-          #     latency guarentee.
-          #   - If set to 'default', the request will be processed using the default service
-          #     tier with a lower uptime SLA and no latency guarentee.
-          #   - When not set, the default behavior is 'auto'.
-          #
-          #   When this parameter is set, the response body will include the `service_tier`
-          #   utilized.
+          # relevant for customers subscribed to the scale tier service:
+          #
+          # - If set to 'auto', and the Project is Scale tier enabled, the system will
+          #   utilize scale tier credits until they are exhausted.
+          # - If set to 'auto', and the Project is not Scale tier enabled, the request will
+          #   be processed using the default service tier with a lower uptime SLA and no
+          #   latency guarentee.
+          # - If set to 'default', the request will be processed using the default service
+          #   tier with a lower uptime SLA and no latency guarentee.
+          # - When not set, the default behavior is 'auto'.
+          #
+          # When this parameter is set, the response body will include the `service_tier`
+          # utilized.
           service_tier: nil,
           # Up to 4 sequences where the API will stop generating further tokens. The
-          #   returned text will not contain the stop sequence.
+          # returned text will not contain the stop sequence.
           stop: nil,
           # Whether or not to store the output of this chat completion request for use in
-          #   our [model distillation](https://platform.openai.com/docs/guides/distillation)
-          #   or [evals](https://platform.openai.com/docs/guides/evals) products.
+          # our [model distillation](https://platform.openai.com/docs/guides/distillation)
+          # or [evals](https://platform.openai.com/docs/guides/evals) products.
           store: nil,
           # Options for streaming response. Only set this when you set `stream: true`.
           stream_options: nil,
           # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-          #   make the output more random, while lower values like 0.2 will make it more
-          #   focused and deterministic. We generally recommend altering this or `top_p` but
-          #   not both.
+          # make the output more random, while lower values like 0.2 will make it more
+          # focused and deterministic. We generally recommend altering this or `top_p` but
+          # not both.
           temperature: nil,
           # Controls which (if any) tool is called by the model. `none` means the model will
-          #   not call any tool and instead generates a message. `auto` means the model can
-          #   pick between generating a message or calling one or more tools. `required` means
-          #   the model must call one or more tools. Specifying a particular tool via
-          #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-          #   call that tool.
-          #
-          #   `none` is the default when no tools are present. `auto` is the default if tools
-          #   are present.
+          # not call any tool and instead generates a message. `auto` means the model can
+          # pick between generating a message or calling one or more tools. `required` means
+          # the model must call one or more tools. Specifying a particular tool via
+          # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+          # call that tool.
+          #
+          # `none` is the default when no tools are present. `auto` is the default if tools
+          # are present.
           tool_choice: nil,
           # A list of tools the model may call. Currently, only functions are supported as a
-          #   tool. Use this to provide a list of functions the model may generate JSON inputs
-          #   for. A max of 128 functions are supported.
+          # tool. Use this to provide a list of functions the model may generate JSON inputs
+          # for. A max of 128 functions are supported.
           tools: nil,
           # An integer between 0 and 20 specifying the number of most likely tokens to
-          #   return at each token position, each with an associated log probability.
-          #   `logprobs` must be set to `true` if this parameter is used.
+          # return at each token position, each with an associated log probability.
+          # `logprobs` must be set to `true` if this parameter is used.
           top_logprobs: nil,
           # An alternative to sampling with temperature, called nucleus sampling, where the
-          #   model considers the results of the tokens with top_p probability mass. So 0.1
-          #   means only the tokens comprising the top 10% probability mass are considered.
+          # model considers the results of the tokens with top_p probability mass. So 0.1
+          # means only the tokens comprising the top 10% probability mass are considered.
           #
-          #   We generally recommend altering this or `temperature` but not both.
+          # We generally recommend altering this or `temperature` but not both.
           top_p: nil,
           # A unique identifier representing your end-user, which can help OpenAI to monitor
-          #   and detect abuse.
-          #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+          # and detect abuse.
+          # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
           user: nil,
           # This tool searches the web for relevant results to use in a response. Learn more
-          #   about the
-          #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+          # about the
+          # [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
           web_search_options: nil,
           # There is no need to provide `stream:`. Instead, use `#stream_raw` or `#create`
-          #   for streaming and non-streaming use cases, respectively.
+          # for streaming and non-streaming use cases, respectively.
           stream: false,
           request_options: {}
         ); end
         # See {OpenAI::Resources::Chat::Completions#create} for non-streaming counterpart.
         #
-        #   **Starting a new project?** We recommend trying
-        #   [Responses](https://platform.openai.com/docs/api-reference/responses) to take
-        #   advantage of the latest OpenAI platform features. Compare
-        #   [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
+        # **Starting a new project?** We recommend trying
+        # [Responses](https://platform.openai.com/docs/api-reference/responses) to take
+        # advantage of the latest OpenAI platform features. Compare
+        # [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
         #
-        #   ---
+        # ---
         #
-        #   Creates a model response for the given chat conversation. Learn more in the
-        #   [text generation](https://platform.openai.com/docs/guides/text-generation),
-        #   [vision](https://platform.openai.com/docs/guides/vision), and
-        #   [audio](https://platform.openai.com/docs/guides/audio) guides.
+        # Creates a model response for the given chat conversation. Learn more in the
+        # [text generation](https://platform.openai.com/docs/guides/text-generation),
+        # [vision](https://platform.openai.com/docs/guides/vision), and
+        # [audio](https://platform.openai.com/docs/guides/audio) guides.
         #
-        #   Parameter support can differ depending on the model used to generate the
-        #   response, particularly for newer reasoning models. Parameters that are only
-        #   supported for reasoning models are noted below. For the current state of
-        #   unsupported parameters in reasoning models,
-        #   [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
+        # Parameter support can differ depending on the model used to generate the
+        # response, particularly for newer reasoning models. Parameters that are only
+        # supported for reasoning models are noted below. For the current state of
+        # unsupported parameters in reasoning models,
+        # [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
         sig do
           params(
             messages: T::Array[
@@ -356,195 +356,195 @@ module OpenAI
         end
         def stream_raw(
           # A list of messages comprising the conversation so far. Depending on the
-          #   [model](https://platform.openai.com/docs/models) you use, different message
-          #   types (modalities) are supported, like
-          #   [text](https://platform.openai.com/docs/guides/text-generation),
-          #   [images](https://platform.openai.com/docs/guides/vision), and
-          #   [audio](https://platform.openai.com/docs/guides/audio).
+          # [model](https://platform.openai.com/docs/models) you use, different message
+          # types (modalities) are supported, like
+          # [text](https://platform.openai.com/docs/guides/text-generation),
+          # [images](https://platform.openai.com/docs/guides/vision), and
+          # [audio](https://platform.openai.com/docs/guides/audio).
           messages:,
           # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-          #   wide range of models with different capabilities, performance characteristics,
-          #   and price points. Refer to the
-          #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-          #   available models.
+          # wide range of models with different capabilities, performance characteristics,
+          # and price points. Refer to the
+          # [model guide](https://platform.openai.com/docs/models) to browse and compare
+          # available models.
           model:,
           # Parameters for audio output. Required when audio output is requested with
-          #   `modalities: ["audio"]`.
-          #   [Learn more](https://platform.openai.com/docs/guides/audio).
+          # `modalities: ["audio"]`.
+          # [Learn more](https://platform.openai.com/docs/guides/audio).
           audio: nil,
           # Number between -2.0 and 2.0. Positive values penalize new tokens based on their
-          #   existing frequency in the text so far, decreasing the model's likelihood to
-          #   repeat the same line verbatim.
+          # existing frequency in the text so far, decreasing the model's likelihood to
+          # repeat the same line verbatim.
           frequency_penalty: nil,
           # Deprecated in favor of `tool_choice`.
           #
-          #   Controls which (if any) function is called by the model.
+          # Controls which (if any) function is called by the model.
           #
-          #   `none` means the model will not call a function and instead generates a message.
+          # `none` means the model will not call a function and instead generates a message.
           #
-          #   `auto` means the model can pick between generating a message or calling a
-          #   function.
+          # `auto` means the model can pick between generating a message or calling a
+          # function.
           #
-          #   Specifying a particular function via `{"name": "my_function"}` forces the model
-          #   to call that function.
+          # Specifying a particular function via `{"name": "my_function"}` forces the model
+          # to call that function.
           #
-          #   `none` is the default when no functions are present. `auto` is the default if
-          #   functions are present.
+          # `none` is the default when no functions are present. `auto` is the default if
+          # functions are present.
           function_call: nil,
           # Deprecated in favor of `tools`.
           #
-          #   A list of functions the model may generate JSON inputs for.
+          # A list of functions the model may generate JSON inputs for.
           functions: nil,
           # Modify the likelihood of specified tokens appearing in the completion.
           #
-          #   Accepts a JSON object that maps tokens (specified by their token ID in the
-          #   tokenizer) to an associated bias value from -100 to 100. Mathematically, the
-          #   bias is added to the logits generated by the model prior to sampling. The exact
-          #   effect will vary per model, but values between -1 and 1 should decrease or
-          #   increase likelihood of selection; values like -100 or 100 should result in a ban
-          #   or exclusive selection of the relevant token.
+          # Accepts a JSON object that maps tokens (specified by their token ID in the
+          # tokenizer) to an associated bias value from -100 to 100. Mathematically, the
+          # bias is added to the logits generated by the model prior to sampling. The exact
+          # effect will vary per model, but values between -1 and 1 should decrease or
+          # increase likelihood of selection; values like -100 or 100 should result in a ban
+          # or exclusive selection of the relevant token.
           logit_bias: nil,
           # Whether to return log probabilities of the output tokens or not. If true,
-          #   returns the log probabilities of each output token returned in the `content` of
-          #   `message`.
+          # returns the log probabilities of each output token returned in the `content` of
+          # `message`.
           logprobs: nil,
           # An upper bound for the number of tokens that can be generated for a completion,
-          #   including visible output tokens and
-          #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+          # including visible output tokens and
+          # [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
           max_completion_tokens: nil,
           # The maximum number of [tokens](/tokenizer) that can be generated in the chat
-          #   completion. This value can be used to control
-          #   [costs](https://openai.com/api/pricing/) for text generated via API.
+          # completion. This value can be used to control
+          # [costs](https://openai.com/api/pricing/) for text generated via API.
           #
-          #   This value is now deprecated in favor of `max_completion_tokens`, and is not
-          #   compatible with
-          #   [o1 series models](https://platform.openai.com/docs/guides/reasoning).
+          # This value is now deprecated in favor of `max_completion_tokens`, and is not
+          # compatible with
+          # [o1 series models](https://platform.openai.com/docs/guides/reasoning).
           max_tokens: nil,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # Output types that you would like the model to generate. Most models are capable
-          #   of generating text, which is the default:
+          # of generating text, which is the default:
           #
-          #   `["text"]`
+          # `["text"]`
           #
-          #   The `gpt-4o-audio-preview` model can also be used to
-          #   [generate audio](https://platform.openai.com/docs/guides/audio). To request that
-          #   this model generate both text and audio responses, you can use:
+          # The `gpt-4o-audio-preview` model can also be used to
+          # [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+          # this model generate both text and audio responses, you can use:
           #
-          #   `["text", "audio"]`
+          # `["text", "audio"]`
           modalities: nil,
           # How many chat completion choices to generate for each input message. Note that
-          #   you will be charged based on the number of generated tokens across all of the
-          #   choices. Keep `n` as `1` to minimize costs.
+          # you will be charged based on the number of generated tokens across all of the
+          # choices. Keep `n` as `1` to minimize costs.
           n: nil,
           # Whether to enable
-          #   [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
-          #   during tool use.
+          # [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+          # during tool use.
           parallel_tool_calls: nil,
           # Static predicted output content, such as the content of a text file that is
-          #   being regenerated.
+          # being regenerated.
           prediction: nil,
           # Number between -2.0 and 2.0. Positive values penalize new tokens based on
-          #   whether they appear in the text so far, increasing the model's likelihood to
-          #   talk about new topics.
+          # whether they appear in the text so far, increasing the model's likelihood to
+          # talk about new topics.
           presence_penalty: nil,
           # **o-series models only**
           #
-          #   Constrains effort on reasoning for
-          #   [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
-          #   supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
-          #   result in faster responses and fewer tokens used on reasoning in a response.
+          # Constrains effort on reasoning for
+          # [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+          # supported values are `low`, `medium`, and `high`. Reducing reasoning effort can
+          # result in faster responses and fewer tokens used on reasoning in a response.
           reasoning_effort: nil,
           # An object specifying the format that the model must output.
           #
-          #   Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
-          #   Outputs which ensures the model will match your supplied JSON schema. Learn more
-          #   in the
-          #   [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+          # Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+          # Outputs which ensures the model will match your supplied JSON schema. Learn more
+          # in the
+          # [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
           #
-          #   Setting to `{ "type": "json_object" }` enables the older JSON mode, which
-          #   ensures the message the model generates is valid JSON. Using `json_schema` is
-          #   preferred for models that support it.
+          # Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+          # ensures the message the model generates is valid JSON. Using `json_schema` is
+          # preferred for models that support it.
           response_format: nil,
           # This feature is in Beta. If specified, our system will make a best effort to
-          #   sample deterministically, such that repeated requests with the same `seed` and
-          #   parameters should return the same result. Determinism is not guaranteed, and you
-          #   should refer to the `system_fingerprint` response parameter to monitor changes
-          #   in the backend.
+          # sample deterministically, such that repeated requests with the same `seed` and
+          # parameters should return the same result. Determinism is not guaranteed, and you
+          # should refer to the `system_fingerprint` response parameter to monitor changes
+          # in the backend.
           seed: nil,
           # Specifies the latency tier to use for processing the request. This parameter is
-          #   relevant for customers subscribed to the scale tier service:
-          #
-          #   - If set to 'auto', and the Project is Scale tier enabled, the system will
-          #     utilize scale tier credits until they are exhausted.
-          #   - If set to 'auto', and the Project is not Scale tier enabled, the request will
-          #     be processed using the default service tier with a lower uptime SLA and no
-          #     latency guarentee.
-          #   - If set to 'default', the request will be processed using the default service
-          #     tier with a lower uptime SLA and no latency guarentee.
-          #   - When not set, the default behavior is 'auto'.
-          #
-          #   When this parameter is set, the response body will include the `service_tier`
-          #   utilized.
+          # relevant for customers subscribed to the scale tier service:
+          #
+          # - If set to 'auto', and the Project is Scale tier enabled, the system will
+          #   utilize scale tier credits until they are exhausted.
+          # - If set to 'auto', and the Project is not Scale tier enabled, the request will
+          #   be processed using the default service tier with a lower uptime SLA and no
+          #   latency guarentee.
+          # - If set to 'default', the request will be processed using the default service
+          #   tier with a lower uptime SLA and no latency guarentee.
+          # - When not set, the default behavior is 'auto'.
+          #
+          # When this parameter is set, the response body will include the `service_tier`
+          # utilized.
           service_tier: nil,
           # Up to 4 sequences where the API will stop generating further tokens. The
-          #   returned text will not contain the stop sequence.
+          # returned text will not contain the stop sequence.
           stop: nil,
           # Whether or not to store the output of this chat completion request for use in
-          #   our [model distillation](https://platform.openai.com/docs/guides/distillation)
-          #   or [evals](https://platform.openai.com/docs/guides/evals) products.
+          # our [model distillation](https://platform.openai.com/docs/guides/distillation)
+          # or [evals](https://platform.openai.com/docs/guides/evals) products.
           store: nil,
           # Options for streaming response. Only set this when you set `stream: true`.
           stream_options: nil,
           # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-          #   make the output more random, while lower values like 0.2 will make it more
-          #   focused and deterministic. We generally recommend altering this or `top_p` but
-          #   not both.
+          # make the output more random, while lower values like 0.2 will make it more
+          # focused and deterministic. We generally recommend altering this or `top_p` but
+          # not both.
           temperature: nil,
           # Controls which (if any) tool is called by the model. `none` means the model will
-          #   not call any tool and instead generates a message. `auto` means the model can
-          #   pick between generating a message or calling one or more tools. `required` means
-          #   the model must call one or more tools. Specifying a particular tool via
-          #   `{"type": "function", "function": {"name": "my_function"}}` forces the model to
-          #   call that tool.
-          #
-          #   `none` is the default when no tools are present. `auto` is the default if tools
-          #   are present.
+          # not call any tool and instead generates a message. `auto` means the model can
+          # pick between generating a message or calling one or more tools. `required` means
+          # the model must call one or more tools. Specifying a particular tool via
+          # `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+          # call that tool.
+          #
+          # `none` is the default when no tools are present. `auto` is the default if tools
+          # are present.
           tool_choice: nil,
           # A list of tools the model may call. Currently, only functions are supported as a
-          #   tool. Use this to provide a list of functions the model may generate JSON inputs
-          #   for. A max of 128 functions are supported.
+          # tool. Use this to provide a list of functions the model may generate JSON inputs
+          # for. A max of 128 functions are supported.
           tools: nil,
           # An integer between 0 and 20 specifying the number of most likely tokens to
-          #   return at each token position, each with an associated log probability.
-          #   `logprobs` must be set to `true` if this parameter is used.
+          # return at each token position, each with an associated log probability.
+          # `logprobs` must be set to `true` if this parameter is used.
           top_logprobs: nil,
           # An alternative to sampling with temperature, called nucleus sampling, where the
-          #   model considers the results of the tokens with top_p probability mass. So 0.1
-          #   means only the tokens comprising the top 10% probability mass are considered.
+          # model considers the results of the tokens with top_p probability mass. So 0.1
+          # means only the tokens comprising the top 10% probability mass are considered.
           #
-          #   We generally recommend altering this or `temperature` but not both.
+          # We generally recommend altering this or `temperature` but not both.
           top_p: nil,
           # A unique identifier representing your end-user, which can help OpenAI to monitor
-          #   and detect abuse.
-          #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+          # and detect abuse.
+          # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
           user: nil,
           # This tool searches the web for relevant results to use in a response. Learn more
-          #   about the
-          #   [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+          # about the
+          # [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
           web_search_options: nil,
           # There is no need to provide `stream:`. Instead, use `#stream_raw` or `#create`
-          #   for streaming and non-streaming use cases, respectively.
+          # for streaming and non-streaming use cases, respectively.
           stream: true,
           request_options: {}
         ); end
         # Get a stored chat completion. Only Chat Completions that have been created with
-        #   the `store` parameter set to `true` will be returned.
+        # the `store` parameter set to `true` will be returned.
         sig do
           params(
             completion_id: String,
@@ -558,8 +558,8 @@ module OpenAI
           request_options: {}
         ); end
         # Modify a stored chat completion. Only Chat Completions that have been created
-        #   with the `store` parameter set to `true` can be modified. Currently, the only
-        #   supported modification is to update the `metadata` field.
+        # with the `store` parameter set to `true` can be modified. Currently, the only
+        # supported modification is to update the `metadata` field.
         sig do
           params(
             completion_id: String,
@@ -572,16 +572,16 @@ module OpenAI
           # The ID of the chat completion to update.
           completion_id,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata:,
           request_options: {}
         ); end
         # List stored Chat Completions. Only Chat Completions that have been stored with
-        #   the `store` parameter set to `true` will be returned.
+        # the `store` parameter set to `true` will be returned.
         sig do
           params(
             after: String,
@@ -600,17 +600,17 @@ module OpenAI
           limit: nil,
           # A list of metadata keys to filter the Chat Completions by. Example:
           #
-          #   `metadata[key1]=value1&metadata[key2]=value2`
+          # `metadata[key1]=value1&metadata[key2]=value2`
           metadata: nil,
           # The model used to generate the Chat Completions.
           model: nil,
           # Sort order for Chat Completions by timestamp. Use `asc` for ascending order or
-          #   `desc` for descending order. Defaults to `asc`.
+          # `desc` for descending order. Defaults to `asc`.
           order: nil,
           request_options: {}
         ); end
         # Delete a stored chat completion. Only Chat Completions that have been created
-        #   with the `store` parameter set to `true` can be deleted.
+        # with the `store` parameter set to `true` can be deleted.
         sig do
           params(
             completion_id: String,
diff --git a/rbi/lib/openai/resources/chat/completions/messages.rbi b/rbi/lib/openai/resources/chat/completions/messages.rbi
index bf8cde9f..53d6538e 100644
--- a/rbi/lib/openai/resources/chat/completions/messages.rbi
+++ b/rbi/lib/openai/resources/chat/completions/messages.rbi
@@ -6,7 +6,7 @@ module OpenAI
       class Completions
         class Messages
           # Get the messages in a stored chat completion. Only Chat Completions that have
-          #   been created with the `store` parameter set to `true` will be returned.
+          # been created with the `store` parameter set to `true` will be returned.
           sig do
             params(
               completion_id: String,
@@ -25,7 +25,7 @@ module OpenAI
             # Number of messages to retrieve.
             limit: nil,
             # Sort order for messages by timestamp. Use `asc` for ascending order or `desc`
-            #   for descending order. Defaults to `asc`.
+            # for descending order. Defaults to `asc`.
             order: nil,
             request_options: {}
           ); end
diff --git a/rbi/lib/openai/resources/completions.rbi b/rbi/lib/openai/resources/completions.rbi
index a91aba7f..f57faf40 100644
--- a/rbi/lib/openai/resources/completions.rbi
+++ b/rbi/lib/openai/resources/completions.rbi
@@ -5,7 +5,7 @@ module OpenAI
     class Completions
       # See {OpenAI::Resources::Completions#create_streaming} for streaming counterpart.
       #
-      #   Creates a completion for the provided prompt and parameters.
+      # Creates a completion for the provided prompt and parameters.
       sig do
         params(
           model: T.any(String, OpenAI::Models::CompletionCreateParams::Model::OrSymbol),
@@ -32,116 +32,116 @@ module OpenAI
       end
       def create(
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         model:,
         # The prompt(s) to generate completions for, encoded as a string, array of
-        #   strings, array of tokens, or array of token arrays.
+        # strings, array of tokens, or array of token arrays.
         #
-        #   Note that <|endoftext|> is the document separator that the model sees during
-        #   training, so if a prompt is not specified the model will generate as if from the
-        #   beginning of a new document.
+        # Note that <|endoftext|> is the document separator that the model sees during
+        # training, so if a prompt is not specified the model will generate as if from the
+        # beginning of a new document.
         prompt:,
         # Generates `best_of` completions server-side and returns the "best" (the one with
-        #   the highest log probability per token). Results cannot be streamed.
+        # the highest log probability per token). Results cannot be streamed.
         #
-        #   When used with `n`, `best_of` controls the number of candidate completions and
-        #   `n` specifies how many to return – `best_of` must be greater than `n`.
+        # When used with `n`, `best_of` controls the number of candidate completions and
+        # `n` specifies how many to return – `best_of` must be greater than `n`.
         #
-        #   **Note:** Because this parameter generates many completions, it can quickly
-        #   consume your token quota. Use carefully and ensure that you have reasonable
-        #   settings for `max_tokens` and `stop`.
+        # **Note:** Because this parameter generates many completions, it can quickly
+        # consume your token quota. Use carefully and ensure that you have reasonable
+        # settings for `max_tokens` and `stop`.
         best_of: nil,
         # Echo back the prompt in addition to the completion
         echo: nil,
         # Number between -2.0 and 2.0. Positive values penalize new tokens based on their
-        #   existing frequency in the text so far, decreasing the model's likelihood to
-        #   repeat the same line verbatim.
+        # existing frequency in the text so far, decreasing the model's likelihood to
+        # repeat the same line verbatim.
         #
-        #   [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
+        # [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
         frequency_penalty: nil,
         # Modify the likelihood of specified tokens appearing in the completion.
         #
-        #   Accepts a JSON object that maps tokens (specified by their token ID in the GPT
-        #   tokenizer) to an associated bias value from -100 to 100. You can use this
-        #   [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs.
-        #   Mathematically, the bias is added to the logits generated by the model prior to
-        #   sampling. The exact effect will vary per model, but values between -1 and 1
-        #   should decrease or increase likelihood of selection; values like -100 or 100
-        #   should result in a ban or exclusive selection of the relevant token.
+        # Accepts a JSON object that maps tokens (specified by their token ID in the GPT
+        # tokenizer) to an associated bias value from -100 to 100. You can use this
+        # [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs.
+        # Mathematically, the bias is added to the logits generated by the model prior to
+        # sampling. The exact effect will vary per model, but values between -1 and 1
+        # should decrease or increase likelihood of selection; values like -100 or 100
+        # should result in a ban or exclusive selection of the relevant token.
         #
-        #   As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token
-        #   from being generated.
+        # As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token
+        # from being generated.
         logit_bias: nil,
         # Include the log probabilities on the `logprobs` most likely output tokens, as
-        #   well the chosen tokens. For example, if `logprobs` is 5, the API will return a
-        #   list of the 5 most likely tokens. The API will always return the `logprob` of
-        #   the sampled token, so there may be up to `logprobs+1` elements in the response.
+        # well the chosen tokens. For example, if `logprobs` is 5, the API will return a
+        # list of the 5 most likely tokens. The API will always return the `logprob` of
+        # the sampled token, so there may be up to `logprobs+1` elements in the response.
         #
-        #   The maximum value for `logprobs` is 5.
+        # The maximum value for `logprobs` is 5.
         logprobs: nil,
         # The maximum number of [tokens](/tokenizer) that can be generated in the
-        #   completion.
+        # completion.
         #
-        #   The token count of your prompt plus `max_tokens` cannot exceed the model's
-        #   context length.
-        #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-        #   for counting tokens.
+        # The token count of your prompt plus `max_tokens` cannot exceed the model's
+        # context length.
+        # [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+        # for counting tokens.
         max_tokens: nil,
         # How many completions to generate for each prompt.
         #
-        #   **Note:** Because this parameter generates many completions, it can quickly
-        #   consume your token quota. Use carefully and ensure that you have reasonable
-        #   settings for `max_tokens` and `stop`.
+        # **Note:** Because this parameter generates many completions, it can quickly
+        # consume your token quota. Use carefully and ensure that you have reasonable
+        # settings for `max_tokens` and `stop`.
         n: nil,
         # Number between -2.0 and 2.0. Positive values penalize new tokens based on
-        #   whether they appear in the text so far, increasing the model's likelihood to
-        #   talk about new topics.
+        # whether they appear in the text so far, increasing the model's likelihood to
+        # talk about new topics.
         #
-        #   [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
+        # [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
         presence_penalty: nil,
         # If specified, our system will make a best effort to sample deterministically,
-        #   such that repeated requests with the same `seed` and parameters should return
-        #   the same result.
+        # such that repeated requests with the same `seed` and parameters should return
+        # the same result.
         #
-        #   Determinism is not guaranteed, and you should refer to the `system_fingerprint`
-        #   response parameter to monitor changes in the backend.
+        # Determinism is not guaranteed, and you should refer to the `system_fingerprint`
+        # response parameter to monitor changes in the backend.
         seed: nil,
         # Up to 4 sequences where the API will stop generating further tokens. The
-        #   returned text will not contain the stop sequence.
+        # returned text will not contain the stop sequence.
         stop: nil,
         # Options for streaming response. Only set this when you set `stream: true`.
         stream_options: nil,
         # The suffix that comes after a completion of inserted text.
         #
-        #   This parameter is only supported for `gpt-3.5-turbo-instruct`.
+        # This parameter is only supported for `gpt-3.5-turbo-instruct`.
         suffix: nil,
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic.
         #
-        #   We generally recommend altering this or `top_p` but not both.
+        # We generally recommend altering this or `top_p` but not both.
         temperature: nil,
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or `temperature` but not both.
+        # We generally recommend altering this or `temperature` but not both.
         top_p: nil,
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         user: nil,
         # There is no need to provide `stream:`. Instead, use `#create_streaming` or
-        #   `#create` for streaming and non-streaming use cases, respectively.
+        # `#create` for streaming and non-streaming use cases, respectively.
         stream: false,
         request_options: {}
       ); end
       # See {OpenAI::Resources::Completions#create} for non-streaming counterpart.
       #
-      #   Creates a completion for the provided prompt and parameters.
+      # Creates a completion for the provided prompt and parameters.
       sig do
         params(
           model: T.any(String, OpenAI::Models::CompletionCreateParams::Model::OrSymbol),
@@ -168,110 +168,110 @@ module OpenAI
       end
       def create_streaming(
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         model:,
         # The prompt(s) to generate completions for, encoded as a string, array of
-        #   strings, array of tokens, or array of token arrays.
+        # strings, array of tokens, or array of token arrays.
         #
-        #   Note that <|endoftext|> is the document separator that the model sees during
-        #   training, so if a prompt is not specified the model will generate as if from the
-        #   beginning of a new document.
+        # Note that <|endoftext|> is the document separator that the model sees during
+        # training, so if a prompt is not specified the model will generate as if from the
+        # beginning of a new document.
         prompt:,
         # Generates `best_of` completions server-side and returns the "best" (the one with
-        #   the highest log probability per token). Results cannot be streamed.
+        # the highest log probability per token). Results cannot be streamed.
         #
-        #   When used with `n`, `best_of` controls the number of candidate completions and
-        #   `n` specifies how many to return – `best_of` must be greater than `n`.
+        # When used with `n`, `best_of` controls the number of candidate completions and
+        # `n` specifies how many to return – `best_of` must be greater than `n`.
         #
-        #   **Note:** Because this parameter generates many completions, it can quickly
-        #   consume your token quota. Use carefully and ensure that you have reasonable
-        #   settings for `max_tokens` and `stop`.
+        # **Note:** Because this parameter generates many completions, it can quickly
+        # consume your token quota. Use carefully and ensure that you have reasonable
+        # settings for `max_tokens` and `stop`.
         best_of: nil,
         # Echo back the prompt in addition to the completion
         echo: nil,
         # Number between -2.0 and 2.0. Positive values penalize new tokens based on their
-        #   existing frequency in the text so far, decreasing the model's likelihood to
-        #   repeat the same line verbatim.
+        # existing frequency in the text so far, decreasing the model's likelihood to
+        # repeat the same line verbatim.
         #
-        #   [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
+        # [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
         frequency_penalty: nil,
         # Modify the likelihood of specified tokens appearing in the completion.
         #
-        #   Accepts a JSON object that maps tokens (specified by their token ID in the GPT
-        #   tokenizer) to an associated bias value from -100 to 100. You can use this
-        #   [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs.
-        #   Mathematically, the bias is added to the logits generated by the model prior to
-        #   sampling. The exact effect will vary per model, but values between -1 and 1
-        #   should decrease or increase likelihood of selection; values like -100 or 100
-        #   should result in a ban or exclusive selection of the relevant token.
+        # Accepts a JSON object that maps tokens (specified by their token ID in the GPT
+        # tokenizer) to an associated bias value from -100 to 100. You can use this
+        # [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs.
+        # Mathematically, the bias is added to the logits generated by the model prior to
+        # sampling. The exact effect will vary per model, but values between -1 and 1
+        # should decrease or increase likelihood of selection; values like -100 or 100
+        # should result in a ban or exclusive selection of the relevant token.
         #
-        #   As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token
-        #   from being generated.
+        # As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token
+        # from being generated.
         logit_bias: nil,
         # Include the log probabilities on the `logprobs` most likely output tokens, as
-        #   well the chosen tokens. For example, if `logprobs` is 5, the API will return a
-        #   list of the 5 most likely tokens. The API will always return the `logprob` of
-        #   the sampled token, so there may be up to `logprobs+1` elements in the response.
+        # well the chosen tokens. For example, if `logprobs` is 5, the API will return a
+        # list of the 5 most likely tokens. The API will always return the `logprob` of
+        # the sampled token, so there may be up to `logprobs+1` elements in the response.
         #
-        #   The maximum value for `logprobs` is 5.
+        # The maximum value for `logprobs` is 5.
         logprobs: nil,
         # The maximum number of [tokens](/tokenizer) that can be generated in the
-        #   completion.
+        # completion.
         #
-        #   The token count of your prompt plus `max_tokens` cannot exceed the model's
-        #   context length.
-        #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-        #   for counting tokens.
+        # The token count of your prompt plus `max_tokens` cannot exceed the model's
+        # context length.
+        # [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+        # for counting tokens.
         max_tokens: nil,
         # How many completions to generate for each prompt.
         #
-        #   **Note:** Because this parameter generates many completions, it can quickly
-        #   consume your token quota. Use carefully and ensure that you have reasonable
-        #   settings for `max_tokens` and `stop`.
+        # **Note:** Because this parameter generates many completions, it can quickly
+        # consume your token quota. Use carefully and ensure that you have reasonable
+        # settings for `max_tokens` and `stop`.
         n: nil,
         # Number between -2.0 and 2.0. Positive values penalize new tokens based on
-        #   whether they appear in the text so far, increasing the model's likelihood to
-        #   talk about new topics.
+        # whether they appear in the text so far, increasing the model's likelihood to
+        # talk about new topics.
         #
-        #   [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
+        # [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation)
         presence_penalty: nil,
         # If specified, our system will make a best effort to sample deterministically,
-        #   such that repeated requests with the same `seed` and parameters should return
-        #   the same result.
+        # such that repeated requests with the same `seed` and parameters should return
+        # the same result.
         #
-        #   Determinism is not guaranteed, and you should refer to the `system_fingerprint`
-        #   response parameter to monitor changes in the backend.
+        # Determinism is not guaranteed, and you should refer to the `system_fingerprint`
+        # response parameter to monitor changes in the backend.
         seed: nil,
         # Up to 4 sequences where the API will stop generating further tokens. The
-        #   returned text will not contain the stop sequence.
+        # returned text will not contain the stop sequence.
         stop: nil,
         # Options for streaming response. Only set this when you set `stream: true`.
         stream_options: nil,
         # The suffix that comes after a completion of inserted text.
         #
-        #   This parameter is only supported for `gpt-3.5-turbo-instruct`.
+        # This parameter is only supported for `gpt-3.5-turbo-instruct`.
         suffix: nil,
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic.
         #
-        #   We generally recommend altering this or `top_p` but not both.
+        # We generally recommend altering this or `top_p` but not both.
         temperature: nil,
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or `temperature` but not both.
+        # We generally recommend altering this or `temperature` but not both.
         top_p: nil,
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         user: nil,
         # There is no need to provide `stream:`. Instead, use `#create_streaming` or
-        #   `#create` for streaming and non-streaming use cases, respectively.
+        # `#create` for streaming and non-streaming use cases, respectively.
         stream: true,
         request_options: {}
       ); end
diff --git a/rbi/lib/openai/resources/embeddings.rbi b/rbi/lib/openai/resources/embeddings.rbi
index f6e4ac51..ae6d042f 100644
--- a/rbi/lib/openai/resources/embeddings.rbi
+++ b/rbi/lib/openai/resources/embeddings.rbi
@@ -17,29 +17,29 @@ module OpenAI
       end
       def create(
         # Input text to embed, encoded as a string or array of tokens. To embed multiple
-        #   inputs in a single request, pass an array of strings or array of token arrays.
-        #   The input must not exceed the max input tokens for the model (8192 tokens for
-        #   `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
-        #   dimensions or less.
-        #   [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
-        #   for counting tokens. Some models may also impose a limit on total number of
-        #   tokens summed across inputs.
+        # inputs in a single request, pass an array of strings or array of token arrays.
+        # The input must not exceed the max input tokens for the model (8192 tokens for
+        # `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
+        # dimensions or less.
+        # [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+        # for counting tokens. Some models may also impose a limit on total number of
+        # tokens summed across inputs.
         input:,
         # ID of the model to use. You can use the
-        #   [List models](https://platform.openai.com/docs/api-reference/models/list) API to
-        #   see all of your available models, or see our
-        #   [Model overview](https://platform.openai.com/docs/models) for descriptions of
-        #   them.
+        # [List models](https://platform.openai.com/docs/api-reference/models/list) API to
+        # see all of your available models, or see our
+        # [Model overview](https://platform.openai.com/docs/models) for descriptions of
+        # them.
         model:,
         # The number of dimensions the resulting output embeddings should have. Only
-        #   supported in `text-embedding-3` and later models.
+        # supported in `text-embedding-3` and later models.
         dimensions: nil,
         # The format to return the embeddings in. Can be either `float` or
-        #   [`base64`](https://pypi.org/project/pybase64/).
+        # [`base64`](https://pypi.org/project/pybase64/).
         encoding_format: nil,
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         user: nil,
         request_options: {}
       ); end
diff --git a/rbi/lib/openai/resources/files.rbi b/rbi/lib/openai/resources/files.rbi
index 56bf2af9..482ed085 100644
--- a/rbi/lib/openai/resources/files.rbi
+++ b/rbi/lib/openai/resources/files.rbi
@@ -4,26 +4,26 @@ module OpenAI
   module Resources
     class Files
       # Upload a file that can be used across various endpoints. Individual files can be
-      #   up to 512 MB, and the size of all files uploaded by one organization can be up
-      #   to 100 GB.
+      # up to 512 MB, and the size of all files uploaded by one organization can be up
+      # to 100 GB.
       #
-      #   The Assistants API supports files up to 2 million tokens and of specific file
-      #   types. See the
-      #   [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for
-      #   details.
+      # The Assistants API supports files up to 2 million tokens and of specific file
+      # types. See the
+      # [Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) for
+      # details.
       #
-      #   The Fine-tuning API only supports `.jsonl` files. The input also has certain
-      #   required formats for fine-tuning
-      #   [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or
-      #   [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
-      #   models.
+      # The Fine-tuning API only supports `.jsonl` files. The input also has certain
+      # required formats for fine-tuning
+      # [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input) or
+      # [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
+      # models.
       #
-      #   The Batch API only supports `.jsonl` files up to 200 MB in size. The input also
-      #   has a specific required
-      #   [format](https://platform.openai.com/docs/api-reference/batch/request-input).
+      # The Batch API only supports `.jsonl` files up to 200 MB in size. The input also
+      # has a specific required
+      # [format](https://platform.openai.com/docs/api-reference/batch/request-input).
       #
-      #   Please [contact us](https://help.openai.com/) if you need to increase these
-      #   storage limits.
+      # Please [contact us](https://help.openai.com/) if you need to increase these
+      # storage limits.
       sig do
         params(
           file: T.any(IO, StringIO),
@@ -36,9 +36,9 @@ module OpenAI
         # The File object (not file name) to be uploaded.
         file:,
         # The intended purpose of the uploaded file. One of: - `assistants`: Used in the
-        #   Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
-        #   fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
-        #   Flexible file type for any purpose - `evals`: Used for eval data sets
+        # Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for
+        # fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`:
+        # Flexible file type for any purpose - `evals`: Used for eval data sets
         purpose:,
         request_options: {}
       ); end
@@ -68,15 +68,15 @@ module OpenAI
       end
       def list(
         # A cursor for use in pagination. `after` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #   fetch the next page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        # fetch the next page of the list.
         after: nil,
         # A limit on the number of objects to be returned. Limit can range between 1 and
-        #   10,000, and the default is 10,000.
+        # 10,000, and the default is 10,000.
         limit: nil,
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         order: nil,
         # Only return files with the given purpose.
         purpose: nil,
diff --git a/rbi/lib/openai/resources/fine_tuning/jobs.rbi b/rbi/lib/openai/resources/fine_tuning/jobs.rbi
index 90b307a0..b39d1d85 100644
--- a/rbi/lib/openai/resources/fine_tuning/jobs.rbi
+++ b/rbi/lib/openai/resources/fine_tuning/jobs.rbi
@@ -8,12 +8,12 @@ module OpenAI
         attr_reader :checkpoints
 
         # Creates a fine-tuning job which begins the process of creating a new model from
-        #   a given dataset.
+        # a given dataset.
         #
-        #   Response includes details of the enqueued job including job status and the name
-        #   of the fine-tuned models once complete.
+        # Response includes details of the enqueued job including job status and the name
+        # of the fine-tuned models once complete.
         #
-        #   [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
+        # [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
         sig do
           params(
             model: T.any(String, OpenAI::Models::FineTuning::JobCreateParams::Model::OrSymbol),
@@ -33,68 +33,68 @@ module OpenAI
         end
         def create(
           # The name of the model to fine-tune. You can select one of the
-          #   [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
+          # [supported models](https://platform.openai.com/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
           model:,
           # The ID of an uploaded file that contains training data.
           #
-          #   See [upload file](https://platform.openai.com/docs/api-reference/files/create)
-          #   for how to upload a file.
+          # See [upload file](https://platform.openai.com/docs/api-reference/files/create)
+          # for how to upload a file.
           #
-          #   Your dataset must be formatted as a JSONL file. Additionally, you must upload
-          #   your file with the purpose `fine-tune`.
+          # Your dataset must be formatted as a JSONL file. Additionally, you must upload
+          # your file with the purpose `fine-tune`.
           #
-          #   The contents of the file should differ depending on if the model uses the
-          #   [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input),
-          #   [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
-          #   format, or if the fine-tuning method uses the
-          #   [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
-          #   format.
+          # The contents of the file should differ depending on if the model uses the
+          # [chat](https://platform.openai.com/docs/api-reference/fine-tuning/chat-input),
+          # [completions](https://platform.openai.com/docs/api-reference/fine-tuning/completions-input)
+          # format, or if the fine-tuning method uses the
+          # [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
+          # format.
           #
-          #   See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
-          #   for more details.
+          # See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
+          # for more details.
           training_file:,
           # The hyperparameters used for the fine-tuning job. This value is now deprecated
-          #   in favor of `method`, and should be passed in under the `method` parameter.
+          # in favor of `method`, and should be passed in under the `method` parameter.
           hyperparameters: nil,
           # A list of integrations to enable for your fine-tuning job.
           integrations: nil,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard.
           #
-          #   Keys are strings with a maximum length of 64 characters. Values are strings with
-          #   a maximum length of 512 characters.
+          # Keys are strings with a maximum length of 64 characters. Values are strings with
+          # a maximum length of 512 characters.
           metadata: nil,
           # The method used for fine-tuning.
           method_: nil,
           # The seed controls the reproducibility of the job. Passing in the same seed and
-          #   job parameters should produce the same results, but may differ in rare cases. If
-          #   a seed is not specified, one will be generated for you.
+          # job parameters should produce the same results, but may differ in rare cases. If
+          # a seed is not specified, one will be generated for you.
           seed: nil,
           # A string of up to 64 characters that will be added to your fine-tuned model
-          #   name.
+          # name.
           #
-          #   For example, a `suffix` of "custom-model-name" would produce a model name like
-          #   `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`.
+          # For example, a `suffix` of "custom-model-name" would produce a model name like
+          # `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`.
           suffix: nil,
           # The ID of an uploaded file that contains validation data.
           #
-          #   If you provide this file, the data is used to generate validation metrics
-          #   periodically during fine-tuning. These metrics can be viewed in the fine-tuning
-          #   results file. The same data should not be present in both train and validation
-          #   files.
+          # If you provide this file, the data is used to generate validation metrics
+          # periodically during fine-tuning. These metrics can be viewed in the fine-tuning
+          # results file. The same data should not be present in both train and validation
+          # files.
           #
-          #   Your dataset must be formatted as a JSONL file. You must upload your file with
-          #   the purpose `fine-tune`.
+          # Your dataset must be formatted as a JSONL file. You must upload your file with
+          # the purpose `fine-tune`.
           #
-          #   See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
-          #   for more details.
+          # See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
+          # for more details.
           validation_file: nil,
           request_options: {}
         ); end
         # Get info about a fine-tuning job.
         #
-        #   [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
+        # [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
         sig do
           params(
             fine_tuning_job_id: String,
@@ -123,7 +123,7 @@ module OpenAI
           # Number of fine-tuning jobs to retrieve.
           limit: nil,
           # Optional metadata filter. To filter, use the syntax `metadata[k]=v`.
-          #   Alternatively, set `metadata=null` to indicate no metadata.
+          # Alternatively, set `metadata=null` to indicate no metadata.
           metadata: nil,
           request_options: {}
         ); end
diff --git a/rbi/lib/openai/resources/images.rbi b/rbi/lib/openai/resources/images.rbi
index 7b0c9a45..79a97ac3 100644
--- a/rbi/lib/openai/resources/images.rbi
+++ b/rbi/lib/openai/resources/images.rbi
@@ -18,24 +18,24 @@ module OpenAI
       end
       def create_variation(
         # The image to use as the basis for the variation(s). Must be a valid PNG file,
-        #   less than 4MB, and square.
+        # less than 4MB, and square.
         image:,
         # The model to use for image generation. Only `dall-e-2` is supported at this
-        #   time.
+        # time.
         model: nil,
         # The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
-        #   `n=1` is supported.
+        # `n=1` is supported.
         n: nil,
         # The format in which the generated images are returned. Must be one of `url` or
-        #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-        #   generated.
+        # `b64_json`. URLs are only valid for 60 minutes after the image has been
+        # generated.
         response_format: nil,
         # The size of the generated images. Must be one of `256x256`, `512x512`, or
-        #   `1024x1024`.
+        # `1024x1024`.
         size: nil,
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         user: nil,
         request_options: {}
       ); end
@@ -56,30 +56,30 @@ module OpenAI
       end
       def edit(
         # The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask
-        #   is not provided, image must have transparency, which will be used as the mask.
+        # is not provided, image must have transparency, which will be used as the mask.
         image:,
         # A text description of the desired image(s). The maximum length is 1000
-        #   characters.
+        # characters.
         prompt:,
         # An additional image whose fully transparent areas (e.g. where alpha is zero)
-        #   indicate where `image` should be edited. Must be a valid PNG file, less than
-        #   4MB, and have the same dimensions as `image`.
+        # indicate where `image` should be edited. Must be a valid PNG file, less than
+        # 4MB, and have the same dimensions as `image`.
         mask: nil,
         # The model to use for image generation. Only `dall-e-2` is supported at this
-        #   time.
+        # time.
         model: nil,
         # The number of images to generate. Must be between 1 and 10.
         n: nil,
         # The format in which the generated images are returned. Must be one of `url` or
-        #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-        #   generated.
+        # `b64_json`. URLs are only valid for 60 minutes after the image has been
+        # generated.
         response_format: nil,
         # The size of the generated images. Must be one of `256x256`, `512x512`, or
-        #   `1024x1024`.
+        # `1024x1024`.
         size: nil,
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         user: nil,
         request_options: {}
       ); end
@@ -100,33 +100,33 @@ module OpenAI
       end
       def generate(
         # A text description of the desired image(s). The maximum length is 1000
-        #   characters for `dall-e-2` and 4000 characters for `dall-e-3`.
+        # characters for `dall-e-2` and 4000 characters for `dall-e-3`.
         prompt:,
         # The model to use for image generation.
         model: nil,
         # The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
-        #   `n=1` is supported.
+        # `n=1` is supported.
         n: nil,
         # The quality of the image that will be generated. `hd` creates images with finer
-        #   details and greater consistency across the image. This param is only supported
-        #   for `dall-e-3`.
+        # details and greater consistency across the image. This param is only supported
+        # for `dall-e-3`.
         quality: nil,
         # The format in which the generated images are returned. Must be one of `url` or
-        #   `b64_json`. URLs are only valid for 60 minutes after the image has been
-        #   generated.
+        # `b64_json`. URLs are only valid for 60 minutes after the image has been
+        # generated.
         response_format: nil,
         # The size of the generated images. Must be one of `256x256`, `512x512`, or
-        #   `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
-        #   `1024x1792` for `dall-e-3` models.
+        # `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
+        # `1024x1792` for `dall-e-3` models.
         size: nil,
         # The style of the generated images. Must be one of `vivid` or `natural`. Vivid
-        #   causes the model to lean towards generating hyper-real and dramatic images.
-        #   Natural causes the model to produce more natural, less hyper-real looking
-        #   images. This param is only supported for `dall-e-3`.
+        # causes the model to lean towards generating hyper-real and dramatic images.
+        # Natural causes the model to produce more natural, less hyper-real looking
+        # images. This param is only supported for `dall-e-3`.
         style: nil,
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         user: nil,
         request_options: {}
       ); end
diff --git a/rbi/lib/openai/resources/models.rbi b/rbi/lib/openai/resources/models.rbi
index 58a63411..252a1dca 100644
--- a/rbi/lib/openai/resources/models.rbi
+++ b/rbi/lib/openai/resources/models.rbi
@@ -4,7 +4,7 @@ module OpenAI
   module Resources
     class Models
       # Retrieves a model instance, providing basic information about the model such as
-      #   the owner and permissioning.
+      # the owner and permissioning.
       sig do
         params(
           model: String,
@@ -18,7 +18,7 @@ module OpenAI
         request_options: {}
       ); end
       # Lists the currently available models, and provides basic information about each
-      #   one such as the owner and availability.
+      # one such as the owner and availability.
       sig do
         params(request_options: T.nilable(T.any(OpenAI::RequestOptions, OpenAI::Internal::AnyHash)))
           .returns(OpenAI::Internal::Page[OpenAI::Models::Model])
@@ -26,7 +26,7 @@ module OpenAI
       def list(request_options: {}); end
 
       # Delete a fine-tuned model. You must have the Owner role in your organization to
-      #   delete a model.
+      # delete a model.
       sig do
         params(
           model: String,
diff --git a/rbi/lib/openai/resources/moderations.rbi b/rbi/lib/openai/resources/moderations.rbi
index 9e47411a..b068d8e7 100644
--- a/rbi/lib/openai/resources/moderations.rbi
+++ b/rbi/lib/openai/resources/moderations.rbi
@@ -4,7 +4,7 @@ module OpenAI
   module Resources
     class Moderations
       # Classifies if text and/or image inputs are potentially harmful. Learn more in
-      #   the [moderation guide](https://platform.openai.com/docs/guides/moderation).
+      # the [moderation guide](https://platform.openai.com/docs/guides/moderation).
       sig do
         params(
           input: T.any(
@@ -25,12 +25,12 @@ module OpenAI
       end
       def create(
         # Input (or inputs) to classify. Can be a single string, an array of strings, or
-        #   an array of multi-modal input objects similar to other models.
+        # an array of multi-modal input objects similar to other models.
         input:,
         # The content moderation model you would like to use. Learn more in
-        #   [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
-        #   learn about available models
-        #   [here](https://platform.openai.com/docs/models#moderation).
+        # [the moderation guide](https://platform.openai.com/docs/guides/moderation), and
+        # learn about available models
+        # [here](https://platform.openai.com/docs/models#moderation).
         model: nil,
         request_options: {}
       ); end
diff --git a/rbi/lib/openai/resources/responses.rbi b/rbi/lib/openai/resources/responses.rbi
index 8fb89354..a8108266 100644
--- a/rbi/lib/openai/resources/responses.rbi
+++ b/rbi/lib/openai/resources/responses.rbi
@@ -8,17 +8,17 @@ module OpenAI
 
       # See {OpenAI::Resources::Responses#stream_raw} for streaming counterpart.
       #
-      #   Creates a model response. Provide
-      #   [text](https://platform.openai.com/docs/guides/text) or
-      #   [image](https://platform.openai.com/docs/guides/images) inputs to generate
-      #   [text](https://platform.openai.com/docs/guides/text) or
-      #   [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have
-      #   the model call your own
-      #   [custom code](https://platform.openai.com/docs/guides/function-calling) or use
-      #   built-in [tools](https://platform.openai.com/docs/guides/tools) like
-      #   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-      #   [file search](https://platform.openai.com/docs/guides/tools-file-search) to use
-      #   your own data as input for the model's response.
+      # Creates a model response. Provide
+      # [text](https://platform.openai.com/docs/guides/text) or
+      # [image](https://platform.openai.com/docs/guides/images) inputs to generate
+      # [text](https://platform.openai.com/docs/guides/text) or
+      # [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have
+      # the model call your own
+      # [custom code](https://platform.openai.com/docs/guides/function-calling) or use
+      # built-in [tools](https://platform.openai.com/docs/guides/tools) like
+      # [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+      # [file search](https://platform.openai.com/docs/guides/tools-file-search) to use
+      # your own data as input for the model's response.
       sig do
         params(
           input: T.any(
@@ -77,126 +77,126 @@ module OpenAI
       def create(
         # Text, image, or file inputs to the model, used to generate a response.
         #
-        #   Learn more:
+        # Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Image inputs](https://platform.openai.com/docs/guides/images)
-        #   - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
-        #   - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
-        #   - [Function calling](https://platform.openai.com/docs/guides/function-calling)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Image inputs](https://platform.openai.com/docs/guides/images)
+        # - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
+        # - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
+        # - [Function calling](https://platform.openai.com/docs/guides/function-calling)
         input:,
         # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #   wide range of models with different capabilities, performance characteristics,
-        #   and price points. Refer to the
-        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #   available models.
+        # wide range of models with different capabilities, performance characteristics,
+        # and price points. Refer to the
+        # [model guide](https://platform.openai.com/docs/models) to browse and compare
+        # available models.
         model:,
         # Specify additional output data to include in the model response. Currently
-        #   supported values are:
+        # supported values are:
         #
-        #   - `file_search_call.results`: Include the search results of the file search tool
-        #     call.
-        #   - `message.input_image.image_url`: Include image urls from the input message.
-        #   - `computer_call_output.output.image_url`: Include image urls from the computer
-        #     call output.
+        # - `file_search_call.results`: Include the search results of the file search tool
+        #   call.
+        # - `message.input_image.image_url`: Include image urls from the input message.
+        # - `computer_call_output.output.image_url`: Include image urls from the computer
+        #   call output.
         include: nil,
         # Inserts a system (or developer) message as the first item in the model's
-        #   context.
+        # context.
         #
-        #   When using along with `previous_response_id`, the instructions from a previous
-        #   response will not be carried over to the next response. This makes it simple to
-        #   swap out system (or developer) messages in new responses.
+        # When using along with `previous_response_id`, the instructions from a previous
+        # response will not be carried over to the next response. This makes it simple to
+        # swap out system (or developer) messages in new responses.
         instructions: nil,
         # An upper bound for the number of tokens that can be generated for a response,
-        #   including visible output tokens and
-        #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+        # including visible output tokens and
+        # [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
         max_output_tokens: nil,
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         metadata: nil,
         # Whether to allow the model to run tool calls in parallel.
         parallel_tool_calls: nil,
         # The unique ID of the previous response to the model. Use this to create
-        #   multi-turn conversations. Learn more about
-        #   [conversation state](https://platform.openai.com/docs/guides/conversation-state).
+        # multi-turn conversations. Learn more about
+        # [conversation state](https://platform.openai.com/docs/guides/conversation-state).
         previous_response_id: nil,
         # **o-series models only**
         #
-        #   Configuration options for
-        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+        # Configuration options for
+        # [reasoning models](https://platform.openai.com/docs/guides/reasoning).
         reasoning: nil,
         # Whether to store the generated model response for later retrieval via API.
         store: nil,
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic. We generally recommend altering this or `top_p` but
-        #   not both.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic. We generally recommend altering this or `top_p` but
+        # not both.
         temperature: nil,
         # Configuration options for a text response from the model. Can be plain text or
-        #   structured JSON data. Learn more:
+        # structured JSON data. Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
         text: nil,
         # How the model should select which tool (or tools) to use when generating a
-        #   response. See the `tools` parameter to see how to specify which tools the model
-        #   can call.
+        # response. See the `tools` parameter to see how to specify which tools the model
+        # can call.
         tool_choice: nil,
         # An array of tools the model may call while generating a response. You can
-        #   specify which tool to use by setting the `tool_choice` parameter.
+        # specify which tool to use by setting the `tool_choice` parameter.
         #
-        #   The two categories of tools you can provide the model are:
+        # The two categories of tools you can provide the model are:
         #
-        #   - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
-        #     capabilities, like
-        #     [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-        #     [file search](https://platform.openai.com/docs/guides/tools-file-search).
-        #     Learn more about
-        #     [built-in tools](https://platform.openai.com/docs/guides/tools).
-        #   - **Function calls (custom tools)**: Functions that are defined by you, enabling
-        #     the model to call your own code. Learn more about
-        #     [function calling](https://platform.openai.com/docs/guides/function-calling).
+        # - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+        #   capabilities, like
+        #   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+        #   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+        #   Learn more about
+        #   [built-in tools](https://platform.openai.com/docs/guides/tools).
+        # - **Function calls (custom tools)**: Functions that are defined by you, enabling
+        #   the model to call your own code. Learn more about
+        #   [function calling](https://platform.openai.com/docs/guides/function-calling).
         tools: nil,
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or `temperature` but not both.
+        # We generally recommend altering this or `temperature` but not both.
         top_p: nil,
         # The truncation strategy to use for the model response.
         #
-        #   - `auto`: If the context of this response and previous ones exceeds the model's
-        #     context window size, the model will truncate the response to fit the context
-        #     window by dropping input items in the middle of the conversation.
-        #   - `disabled` (default): If a model response will exceed the context window size
-        #     for a model, the request will fail with a 400 error.
+        # - `auto`: If the context of this response and previous ones exceeds the model's
+        #   context window size, the model will truncate the response to fit the context
+        #   window by dropping input items in the middle of the conversation.
+        # - `disabled` (default): If a model response will exceed the context window size
+        #   for a model, the request will fail with a 400 error.
         truncation: nil,
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         user: nil,
         # There is no need to provide `stream:`. Instead, use `#stream_raw` or `#create`
-        #   for streaming and non-streaming use cases, respectively.
+        # for streaming and non-streaming use cases, respectively.
         stream: false,
         request_options: {}
       ); end
       # See {OpenAI::Resources::Responses#create} for non-streaming counterpart.
       #
-      #   Creates a model response. Provide
-      #   [text](https://platform.openai.com/docs/guides/text) or
-      #   [image](https://platform.openai.com/docs/guides/images) inputs to generate
-      #   [text](https://platform.openai.com/docs/guides/text) or
-      #   [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have
-      #   the model call your own
-      #   [custom code](https://platform.openai.com/docs/guides/function-calling) or use
-      #   built-in [tools](https://platform.openai.com/docs/guides/tools) like
-      #   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-      #   [file search](https://platform.openai.com/docs/guides/tools-file-search) to use
-      #   your own data as input for the model's response.
+      # Creates a model response. Provide
+      # [text](https://platform.openai.com/docs/guides/text) or
+      # [image](https://platform.openai.com/docs/guides/images) inputs to generate
+      # [text](https://platform.openai.com/docs/guides/text) or
+      # [JSON](https://platform.openai.com/docs/guides/structured-outputs) outputs. Have
+      # the model call your own
+      # [custom code](https://platform.openai.com/docs/guides/function-calling) or use
+      # built-in [tools](https://platform.openai.com/docs/guides/tools) like
+      # [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+      # [file search](https://platform.openai.com/docs/guides/tools-file-search) to use
+      # your own data as input for the model's response.
       sig do
         params(
           input: T.any(
@@ -292,110 +292,110 @@ module OpenAI
       def stream_raw(
         # Text, image, or file inputs to the model, used to generate a response.
         #
-        #   Learn more:
+        # Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Image inputs](https://platform.openai.com/docs/guides/images)
-        #   - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
-        #   - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
-        #   - [Function calling](https://platform.openai.com/docs/guides/function-calling)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Image inputs](https://platform.openai.com/docs/guides/images)
+        # - [File inputs](https://platform.openai.com/docs/guides/pdf-files)
+        # - [Conversation state](https://platform.openai.com/docs/guides/conversation-state)
+        # - [Function calling](https://platform.openai.com/docs/guides/function-calling)
         input:,
         # Model ID used to generate the response, like `gpt-4o` or `o1`. OpenAI offers a
-        #   wide range of models with different capabilities, performance characteristics,
-        #   and price points. Refer to the
-        #   [model guide](https://platform.openai.com/docs/models) to browse and compare
-        #   available models.
+        # wide range of models with different capabilities, performance characteristics,
+        # and price points. Refer to the
+        # [model guide](https://platform.openai.com/docs/models) to browse and compare
+        # available models.
         model:,
         # Specify additional output data to include in the model response. Currently
-        #   supported values are:
+        # supported values are:
         #
-        #   - `file_search_call.results`: Include the search results of the file search tool
-        #     call.
-        #   - `message.input_image.image_url`: Include image urls from the input message.
-        #   - `computer_call_output.output.image_url`: Include image urls from the computer
-        #     call output.
+        # - `file_search_call.results`: Include the search results of the file search tool
+        #   call.
+        # - `message.input_image.image_url`: Include image urls from the input message.
+        # - `computer_call_output.output.image_url`: Include image urls from the computer
+        #   call output.
         include: nil,
         # Inserts a system (or developer) message as the first item in the model's
-        #   context.
+        # context.
         #
-        #   When using along with `previous_response_id`, the instructions from a previous
-        #   response will not be carried over to the next response. This makes it simple to
-        #   swap out system (or developer) messages in new responses.
+        # When using along with `previous_response_id`, the instructions from a previous
+        # response will not be carried over to the next response. This makes it simple to
+        # swap out system (or developer) messages in new responses.
         instructions: nil,
         # An upper bound for the number of tokens that can be generated for a response,
-        #   including visible output tokens and
-        #   [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+        # including visible output tokens and
+        # [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
         max_output_tokens: nil,
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         metadata: nil,
         # Whether to allow the model to run tool calls in parallel.
         parallel_tool_calls: nil,
         # The unique ID of the previous response to the model. Use this to create
-        #   multi-turn conversations. Learn more about
-        #   [conversation state](https://platform.openai.com/docs/guides/conversation-state).
+        # multi-turn conversations. Learn more about
+        # [conversation state](https://platform.openai.com/docs/guides/conversation-state).
         previous_response_id: nil,
         # **o-series models only**
         #
-        #   Configuration options for
-        #   [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+        # Configuration options for
+        # [reasoning models](https://platform.openai.com/docs/guides/reasoning).
         reasoning: nil,
         # Whether to store the generated model response for later retrieval via API.
         store: nil,
         # What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
-        #   make the output more random, while lower values like 0.2 will make it more
-        #   focused and deterministic. We generally recommend altering this or `top_p` but
-        #   not both.
+        # make the output more random, while lower values like 0.2 will make it more
+        # focused and deterministic. We generally recommend altering this or `top_p` but
+        # not both.
         temperature: nil,
         # Configuration options for a text response from the model. Can be plain text or
-        #   structured JSON data. Learn more:
+        # structured JSON data. Learn more:
         #
-        #   - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
-        #   - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+        # - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+        # - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
         text: nil,
         # How the model should select which tool (or tools) to use when generating a
-        #   response. See the `tools` parameter to see how to specify which tools the model
-        #   can call.
+        # response. See the `tools` parameter to see how to specify which tools the model
+        # can call.
         tool_choice: nil,
         # An array of tools the model may call while generating a response. You can
-        #   specify which tool to use by setting the `tool_choice` parameter.
+        # specify which tool to use by setting the `tool_choice` parameter.
         #
-        #   The two categories of tools you can provide the model are:
+        # The two categories of tools you can provide the model are:
         #
-        #   - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
-        #     capabilities, like
-        #     [web search](https://platform.openai.com/docs/guides/tools-web-search) or
-        #     [file search](https://platform.openai.com/docs/guides/tools-file-search).
-        #     Learn more about
-        #     [built-in tools](https://platform.openai.com/docs/guides/tools).
-        #   - **Function calls (custom tools)**: Functions that are defined by you, enabling
-        #     the model to call your own code. Learn more about
-        #     [function calling](https://platform.openai.com/docs/guides/function-calling).
+        # - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+        #   capabilities, like
+        #   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+        #   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+        #   Learn more about
+        #   [built-in tools](https://platform.openai.com/docs/guides/tools).
+        # - **Function calls (custom tools)**: Functions that are defined by you, enabling
+        #   the model to call your own code. Learn more about
+        #   [function calling](https://platform.openai.com/docs/guides/function-calling).
         tools: nil,
         # An alternative to sampling with temperature, called nucleus sampling, where the
-        #   model considers the results of the tokens with top_p probability mass. So 0.1
-        #   means only the tokens comprising the top 10% probability mass are considered.
+        # model considers the results of the tokens with top_p probability mass. So 0.1
+        # means only the tokens comprising the top 10% probability mass are considered.
         #
-        #   We generally recommend altering this or `temperature` but not both.
+        # We generally recommend altering this or `temperature` but not both.
         top_p: nil,
         # The truncation strategy to use for the model response.
         #
-        #   - `auto`: If the context of this response and previous ones exceeds the model's
-        #     context window size, the model will truncate the response to fit the context
-        #     window by dropping input items in the middle of the conversation.
-        #   - `disabled` (default): If a model response will exceed the context window size
-        #     for a model, the request will fail with a 400 error.
+        # - `auto`: If the context of this response and previous ones exceeds the model's
+        #   context window size, the model will truncate the response to fit the context
+        #   window by dropping input items in the middle of the conversation.
+        # - `disabled` (default): If a model response will exceed the context window size
+        #   for a model, the request will fail with a 400 error.
         truncation: nil,
         # A unique identifier representing your end-user, which can help OpenAI to monitor
-        #   and detect abuse.
-        #   [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
+        # and detect abuse.
+        # [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#end-user-ids).
         user: nil,
         # There is no need to provide `stream:`. Instead, use `#stream_raw` or `#create`
-        #   for streaming and non-streaming use cases, respectively.
+        # for streaming and non-streaming use cases, respectively.
         stream: true,
         request_options: {}
       ); end
@@ -412,7 +412,7 @@ module OpenAI
         # The ID of the response to retrieve.
         response_id,
         # Additional fields to include in the response. See the `include` parameter for
-        #   Response creation above for more information.
+        # Response creation above for more information.
         include: nil,
         request_options: {}
       ); end
diff --git a/rbi/lib/openai/resources/responses/input_items.rbi b/rbi/lib/openai/resources/responses/input_items.rbi
index 26668496..0c70b7b0 100644
--- a/rbi/lib/openai/resources/responses/input_items.rbi
+++ b/rbi/lib/openai/resources/responses/input_items.rbi
@@ -38,15 +38,15 @@ module OpenAI
           # An item ID to list items before, used in pagination.
           before: nil,
           # Additional fields to include in the response. See the `include` parameter for
-          #   Response creation above for more information.
+          # Response creation above for more information.
           include: nil,
           # A limit on the number of objects to be returned. Limit can range between 1 and
-          #   100, and the default is 20.
+          # 100, and the default is 20.
           limit: nil,
           # The order to return the input items in. Default is `asc`.
           #
-          #   - `asc`: Return the input items in ascending order.
-          #   - `desc`: Return the input items in descending order.
+          # - `asc`: Return the input items in ascending order.
+          # - `desc`: Return the input items in descending order.
           order: nil,
           request_options: {}
         ); end
diff --git a/rbi/lib/openai/resources/uploads.rbi b/rbi/lib/openai/resources/uploads.rbi
index bdc55f98..c397fdbf 100644
--- a/rbi/lib/openai/resources/uploads.rbi
+++ b/rbi/lib/openai/resources/uploads.rbi
@@ -7,24 +7,24 @@ module OpenAI
       attr_reader :parts
 
       # Creates an intermediate
-      #   [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object
-      #   that you can add
-      #   [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.
-      #   Currently, an Upload can accept at most 8 GB in total and expires after an hour
-      #   after you create it.
+      # [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object
+      # that you can add
+      # [Parts](https://platform.openai.com/docs/api-reference/uploads/part-object) to.
+      # Currently, an Upload can accept at most 8 GB in total and expires after an hour
+      # after you create it.
       #
-      #   Once you complete the Upload, we will create a
-      #   [File](https://platform.openai.com/docs/api-reference/files/object) object that
-      #   contains all the parts you uploaded. This File is usable in the rest of our
-      #   platform as a regular File object.
+      # Once you complete the Upload, we will create a
+      # [File](https://platform.openai.com/docs/api-reference/files/object) object that
+      # contains all the parts you uploaded. This File is usable in the rest of our
+      # platform as a regular File object.
       #
-      #   For certain `purpose` values, the correct `mime_type` must be specified. Please
-      #   refer to documentation for the
-      #   [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).
+      # For certain `purpose` values, the correct `mime_type` must be specified. Please
+      # refer to documentation for the
+      # [supported MIME types for your use case](https://platform.openai.com/docs/assistants/tools/file-search#supported-files).
       #
-      #   For guidance on the proper filename extensions for each purpose, please follow
-      #   the documentation on
-      #   [creating a File](https://platform.openai.com/docs/api-reference/files/create).
+      # For guidance on the proper filename extensions for each purpose, please follow
+      # the documentation on
+      # [creating a File](https://platform.openai.com/docs/api-reference/files/create).
       sig do
         params(
           bytes: Integer,
@@ -42,13 +42,13 @@ module OpenAI
         filename:,
         # The MIME type of the file.
         #
-        #   This must fall within the supported MIME types for your file purpose. See the
-        #   supported MIME types for assistants and vision.
+        # This must fall within the supported MIME types for your file purpose. See the
+        # supported MIME types for assistants and vision.
         mime_type:,
         # The intended purpose of the uploaded file.
         #
-        #   See the
-        #   [documentation on File purposes](https://platform.openai.com/docs/api-reference/files/create#files-create-purpose).
+        # See the
+        # [documentation on File purposes](https://platform.openai.com/docs/api-reference/files/create#files-create-purpose).
         purpose:,
         request_options: {}
       ); end
@@ -66,18 +66,18 @@ module OpenAI
         request_options: {}
       ); end
       # Completes the
-      #   [Upload](https://platform.openai.com/docs/api-reference/uploads/object).
+      # [Upload](https://platform.openai.com/docs/api-reference/uploads/object).
       #
-      #   Within the returned Upload object, there is a nested
-      #   [File](https://platform.openai.com/docs/api-reference/files/object) object that
-      #   is ready to use in the rest of the platform.
+      # Within the returned Upload object, there is a nested
+      # [File](https://platform.openai.com/docs/api-reference/files/object) object that
+      # is ready to use in the rest of the platform.
       #
-      #   You can specify the order of the Parts by passing in an ordered list of the Part
-      #   IDs.
+      # You can specify the order of the Parts by passing in an ordered list of the Part
+      # IDs.
       #
-      #   The number of bytes uploaded upon completion must match the number of bytes
-      #   initially specified when creating the Upload object. No Parts may be added after
-      #   an Upload is completed.
+      # The number of bytes uploaded upon completion must match the number of bytes
+      # initially specified when creating the Upload object. No Parts may be added after
+      # an Upload is completed.
       sig do
         params(
           upload_id: String,
@@ -93,7 +93,7 @@ module OpenAI
         # The ordered list of Part IDs.
         part_ids:,
         # The optional md5 checksum for the file contents to verify if the bytes uploaded
-        #   matches what you expect.
+        # matches what you expect.
         md5: nil,
         request_options: {}
       ); end
diff --git a/rbi/lib/openai/resources/uploads/parts.rbi b/rbi/lib/openai/resources/uploads/parts.rbi
index 47bb936f..9b073eea 100644
--- a/rbi/lib/openai/resources/uploads/parts.rbi
+++ b/rbi/lib/openai/resources/uploads/parts.rbi
@@ -5,16 +5,16 @@ module OpenAI
     class Uploads
       class Parts
         # Adds a
-        #   [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an
-        #   [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.
-        #   A Part represents a chunk of bytes from the file you are trying to upload.
+        # [Part](https://platform.openai.com/docs/api-reference/uploads/part-object) to an
+        # [Upload](https://platform.openai.com/docs/api-reference/uploads/object) object.
+        # A Part represents a chunk of bytes from the file you are trying to upload.
         #
-        #   Each Part can be at most 64 MB, and you can add Parts until you hit the Upload
-        #   maximum of 8 GB.
+        # Each Part can be at most 64 MB, and you can add Parts until you hit the Upload
+        # maximum of 8 GB.
         #
-        #   It is possible to add multiple Parts in parallel. You can decide the intended
-        #   order of the Parts when you
-        #   [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).
+        # It is possible to add multiple Parts in parallel. You can decide the intended
+        # order of the Parts when you
+        # [complete the Upload](https://platform.openai.com/docs/api-reference/uploads/complete).
         sig do
           params(
             upload_id: String,
diff --git a/rbi/lib/openai/resources/vector_stores.rbi b/rbi/lib/openai/resources/vector_stores.rbi
index b0868a1f..7658101e 100644
--- a/rbi/lib/openai/resources/vector_stores.rbi
+++ b/rbi/lib/openai/resources/vector_stores.rbi
@@ -27,20 +27,20 @@ module OpenAI
       end
       def create(
         # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-        #   strategy. Only applicable if `file_ids` is non-empty.
+        # strategy. Only applicable if `file_ids` is non-empty.
         chunking_strategy: nil,
         # The expiration policy for a vector store.
         expires_after: nil,
         # A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-        #   the vector store should use. Useful for tools like `file_search` that can access
-        #   files.
+        # the vector store should use. Useful for tools like `file_search` that can access
+        # files.
         file_ids: nil,
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         metadata: nil,
         # The name of the vector store.
         name: nil,
@@ -76,11 +76,11 @@ module OpenAI
         # The expiration policy for a vector store.
         expires_after: nil,
         # Set of 16 key-value pairs that can be attached to an object. This can be useful
-        #   for storing additional information about the object in a structured format, and
-        #   querying for objects via API or the dashboard.
+        # for storing additional information about the object in a structured format, and
+        # querying for objects via API or the dashboard.
         #
-        #   Keys are strings with a maximum length of 64 characters. Values are strings with
-        #   a maximum length of 512 characters.
+        # Keys are strings with a maximum length of 64 characters. Values are strings with
+        # a maximum length of 512 characters.
         metadata: nil,
         # The name of the vector store.
         name: nil,
@@ -99,20 +99,20 @@ module OpenAI
       end
       def list(
         # A cursor for use in pagination. `after` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-        #   fetch the next page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+        # fetch the next page of the list.
         after: nil,
         # A cursor for use in pagination. `before` is an object ID that defines your place
-        #   in the list. For instance, if you make a list request and receive 100 objects,
-        #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-        #   to fetch the previous page of the list.
+        # in the list. For instance, if you make a list request and receive 100 objects,
+        # starting with obj_foo, your subsequent call can include before=obj_foo in order
+        # to fetch the previous page of the list.
         before: nil,
         # A limit on the number of objects to be returned. Limit can range between 1 and
-        #   100, and the default is 20.
+        # 100, and the default is 20.
         limit: nil,
         # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-        #   order and `desc` for descending order.
+        # order and `desc` for descending order.
         order: nil,
         request_options: {}
       ); end
@@ -130,7 +130,7 @@ module OpenAI
         request_options: {}
       ); end
       # Search a vector store for relevant chunks based on a query and file attributes
-      #   filter.
+      # filter.
       sig do
         params(
           vector_store_id: String,
@@ -151,7 +151,7 @@ module OpenAI
         # A filter to apply based on file attributes.
         filters: nil,
         # The maximum number of results to return. This number should be between 1 and 50
-        #   inclusive.
+        # inclusive.
         max_num_results: nil,
         # Ranking options for search.
         ranking_options: nil,
diff --git a/rbi/lib/openai/resources/vector_stores/file_batches.rbi b/rbi/lib/openai/resources/vector_stores/file_batches.rbi
index ae4348ba..8a6a5231 100644
--- a/rbi/lib/openai/resources/vector_stores/file_batches.rbi
+++ b/rbi/lib/openai/resources/vector_stores/file_batches.rbi
@@ -23,17 +23,17 @@ module OpenAI
           # The ID of the vector store for which to create a File Batch.
           vector_store_id,
           # A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
-          #   the vector store should use. Useful for tools like `file_search` that can access
-          #   files.
+          # the vector store should use. Useful for tools like `file_search` that can access
+          # files.
           file_ids:,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard. Keys are strings with a maximum
-          #   length of 64 characters. Values are strings with a maximum length of 512
-          #   characters, booleans, or numbers.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard. Keys are strings with a maximum
+          # length of 64 characters. Values are strings with a maximum length of 512
+          # characters, booleans, or numbers.
           attributes: nil,
           # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-          #   strategy. Only applicable if `file_ids` is non-empty.
+          # strategy. Only applicable if `file_ids` is non-empty.
           chunking_strategy: nil,
           request_options: {}
         ); end
@@ -54,7 +54,7 @@ module OpenAI
           request_options: {}
         ); end
         # Cancel a vector store file batch. This attempts to cancel the processing of
-        #   files in this batch as soon as possible.
+        # files in this batch as soon as possible.
         sig do
           params(
             batch_id: String,
@@ -90,23 +90,23 @@ module OpenAI
           # Path param: The ID of the vector store that the files belong to.
           vector_store_id:,
           # Query param: A cursor for use in pagination. `after` is an object ID that
-          #   defines your place in the list. For instance, if you make a list request and
-          #   receive 100 objects, ending with obj_foo, your subsequent call can include
-          #   after=obj_foo in order to fetch the next page of the list.
+          # defines your place in the list. For instance, if you make a list request and
+          # receive 100 objects, ending with obj_foo, your subsequent call can include
+          # after=obj_foo in order to fetch the next page of the list.
           after: nil,
           # Query param: A cursor for use in pagination. `before` is an object ID that
-          #   defines your place in the list. For instance, if you make a list request and
-          #   receive 100 objects, starting with obj_foo, your subsequent call can include
-          #   before=obj_foo in order to fetch the previous page of the list.
+          # defines your place in the list. For instance, if you make a list request and
+          # receive 100 objects, starting with obj_foo, your subsequent call can include
+          # before=obj_foo in order to fetch the previous page of the list.
           before: nil,
           # Query param: Filter by file status. One of `in_progress`, `completed`, `failed`,
-          #   `cancelled`.
+          # `cancelled`.
           filter: nil,
           # Query param: A limit on the number of objects to be returned. Limit can range
-          #   between 1 and 100, and the default is 20.
+          # between 1 and 100, and the default is 20.
           limit: nil,
           # Query param: Sort order by the `created_at` timestamp of the objects. `asc` for
-          #   ascending order and `desc` for descending order.
+          # ascending order and `desc` for descending order.
           order: nil,
           request_options: {}
         ); end
diff --git a/rbi/lib/openai/resources/vector_stores/files.rbi b/rbi/lib/openai/resources/vector_stores/files.rbi
index 22550fd4..eb8c2391 100644
--- a/rbi/lib/openai/resources/vector_stores/files.rbi
+++ b/rbi/lib/openai/resources/vector_stores/files.rbi
@@ -5,8 +5,8 @@ module OpenAI
     class VectorStores
       class Files
         # Create a vector store file by attaching a
-        #   [File](https://platform.openai.com/docs/api-reference/files) to a
-        #   [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).
+        # [File](https://platform.openai.com/docs/api-reference/files) to a
+        # [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object).
         sig do
           params(
             vector_store_id: String,
@@ -25,17 +25,17 @@ module OpenAI
           # The ID of the vector store for which to create a File.
           vector_store_id,
           # A [File](https://platform.openai.com/docs/api-reference/files) ID that the
-          #   vector store should use. Useful for tools like `file_search` that can access
-          #   files.
+          # vector store should use. Useful for tools like `file_search` that can access
+          # files.
           file_id:,
           # Set of 16 key-value pairs that can be attached to an object. This can be useful
-          #   for storing additional information about the object in a structured format, and
-          #   querying for objects via API or the dashboard. Keys are strings with a maximum
-          #   length of 64 characters. Values are strings with a maximum length of 512
-          #   characters, booleans, or numbers.
+          # for storing additional information about the object in a structured format, and
+          # querying for objects via API or the dashboard. Keys are strings with a maximum
+          # length of 64 characters. Values are strings with a maximum length of 512
+          # characters, booleans, or numbers.
           attributes: nil,
           # The chunking strategy used to chunk the file(s). If not set, will use the `auto`
-          #   strategy. Only applicable if `file_ids` is non-empty.
+          # strategy. Only applicable if `file_ids` is non-empty.
           chunking_strategy: nil,
           request_options: {}
         ); end
@@ -71,10 +71,10 @@ module OpenAI
           # Path param: The ID of the vector store the file belongs to.
           vector_store_id:,
           # Body param: Set of 16 key-value pairs that can be attached to an object. This
-          #   can be useful for storing additional information about the object in a
-          #   structured format, and querying for objects via API or the dashboard. Keys are
-          #   strings with a maximum length of 64 characters. Values are strings with a
-          #   maximum length of 512 characters, booleans, or numbers.
+          # can be useful for storing additional information about the object in a
+          # structured format, and querying for objects via API or the dashboard. Keys are
+          # strings with a maximum length of 64 characters. Values are strings with a
+          # maximum length of 512 characters, booleans, or numbers.
           attributes:,
           request_options: {}
         ); end
@@ -95,29 +95,29 @@ module OpenAI
           # The ID of the vector store that the files belong to.
           vector_store_id,
           # A cursor for use in pagination. `after` is an object ID that defines your place
-          #   in the list. For instance, if you make a list request and receive 100 objects,
-          #   ending with obj_foo, your subsequent call can include after=obj_foo in order to
-          #   fetch the next page of the list.
+          # in the list. For instance, if you make a list request and receive 100 objects,
+          # ending with obj_foo, your subsequent call can include after=obj_foo in order to
+          # fetch the next page of the list.
           after: nil,
           # A cursor for use in pagination. `before` is an object ID that defines your place
-          #   in the list. For instance, if you make a list request and receive 100 objects,
-          #   starting with obj_foo, your subsequent call can include before=obj_foo in order
-          #   to fetch the previous page of the list.
+          # in the list. For instance, if you make a list request and receive 100 objects,
+          # starting with obj_foo, your subsequent call can include before=obj_foo in order
+          # to fetch the previous page of the list.
           before: nil,
           # Filter by file status. One of `in_progress`, `completed`, `failed`, `cancelled`.
           filter: nil,
           # A limit on the number of objects to be returned. Limit can range between 1 and
-          #   100, and the default is 20.
+          # 100, and the default is 20.
           limit: nil,
           # Sort order by the `created_at` timestamp of the objects. `asc` for ascending
-          #   order and `desc` for descending order.
+          # order and `desc` for descending order.
           order: nil,
           request_options: {}
         ); end
         # Delete a vector store file. This will remove the file from the vector store but
-        #   the file itself will not be deleted. To delete the file, use the
-        #   [delete file](https://platform.openai.com/docs/api-reference/files/delete)
-        #   endpoint.
+        # the file itself will not be deleted. To delete the file, use the
+        # [delete file](https://platform.openai.com/docs/api-reference/files/delete)
+        # endpoint.
         sig do
           params(
             file_id: String,