diff --git a/packages/openai_dart/lib/src/generated/client.dart b/packages/openai_dart/lib/src/generated/client.dart
index f12c884e..d4005e4c 100644
--- a/packages/openai_dart/lib/src/generated/client.dart
+++ b/packages/openai_dart/lib/src/generated/client.dart
@@ -663,7 +663,7 @@ class OpenAIClient {
   // METHOD: createModeration
   // ------------------------------------------
 
-  /// Classifies if text violates OpenAI's Content Policy.
+  /// Classifies if text is potentially harmful.
   ///
   /// `request`: Request object for the Create moderation endpoint.
   ///
diff --git a/packages/openai_dart/lib/src/generated/schema/chat_completion_token_logprob.dart b/packages/openai_dart/lib/src/generated/schema/chat_completion_token_logprob.dart
index edcbed96..27bd0aae 100644
--- a/packages/openai_dart/lib/src/generated/schema/chat_completion_token_logprob.dart
+++ b/packages/openai_dart/lib/src/generated/schema/chat_completion_token_logprob.dart
@@ -18,7 +18,7 @@ class ChatCompletionTokenLogprob with _$ChatCompletionTokenLogprob {
     /// The token.
     required String token,
 
-    /// The log probability of this token.
+    /// 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.
     required double logprob,
 
     /// 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.
diff --git a/packages/openai_dart/lib/src/generated/schema/chat_completion_token_top_logprob.dart b/packages/openai_dart/lib/src/generated/schema/chat_completion_token_top_logprob.dart
index 40c2b0f0..c817c88b 100644
--- a/packages/openai_dart/lib/src/generated/schema/chat_completion_token_top_logprob.dart
+++ b/packages/openai_dart/lib/src/generated/schema/chat_completion_token_top_logprob.dart
@@ -18,7 +18,7 @@ class ChatCompletionTokenTopLogprob with _$ChatCompletionTokenTopLogprob {
     /// The token.
     required String token,
 
-    /// The log probability of this token.
+    /// 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.
     required double logprob,
 
     /// 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.
diff --git a/packages/openai_dart/lib/src/generated/schema/create_chat_completion_request.dart b/packages/openai_dart/lib/src/generated/schema/create_chat_completion_request.dart
index d8fc2ba2..a7757db7 100644
--- a/packages/openai_dart/lib/src/generated/schema/create_chat_completion_request.dart
+++ b/packages/openai_dart/lib/src/generated/schema/create_chat_completion_request.dart
@@ -28,9 +28,6 @@ class CreateChatCompletionRequest with _$CreateChatCompletionRequest {
     @Default(0.0)
     double? frequencyPenalty,
 
-    /// An unique identifier to a custom instance to execute the request. The requesting organization is required to have access to the instance.
-    @JsonKey(name: 'instance_id', includeIfNull: false) String? instanceId,
-
     /// 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.
@@ -40,7 +37,7 @@ class CreateChatCompletionRequest with _$CreateChatCompletionRequest {
     /// 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`. This option is currently not available on the `gpt-4-vision-preview` model.
     @JsonKey(includeIfNull: false) bool? logprobs,
 
-    /// An integer between 0 and 5 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.
+    /// 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.
     @JsonKey(name: 'top_logprobs', includeIfNull: false) int? topLogprobs,
 
     /// The maximum number of [tokens](https://platform.openai.com/tokenizer) that can be generated in the chat completion.
@@ -132,7 +129,6 @@ class CreateChatCompletionRequest with _$CreateChatCompletionRequest {
     'model',
     'messages',
     'frequency_penalty',
-    'instance_id',
     'logit_bias',
     'logprobs',
     'top_logprobs',
@@ -157,7 +153,7 @@ class CreateChatCompletionRequest with _$CreateChatCompletionRequest {
   static const frequencyPenaltyMinValue = -2.0;
   static const frequencyPenaltyMaxValue = 2.0;
   static const topLogprobsMinValue = 0;
-  static const topLogprobsMaxValue = 5;
+  static const topLogprobsMaxValue = 20;
   static const nDefaultValue = 1;
   static const nMinValue = 1;
   static const nMaxValue = 128;
@@ -220,7 +216,6 @@ class CreateChatCompletionRequest with _$CreateChatCompletionRequest {
       'model': model,
       'messages': messages,
       'frequency_penalty': frequencyPenalty,
-      'instance_id': instanceId,
       'logit_bias': logitBias,
       'logprobs': logprobs,
       'top_logprobs': topLogprobs,
diff --git a/packages/openai_dart/lib/src/generated/schema/create_image_request.dart b/packages/openai_dart/lib/src/generated/schema/create_image_request.dart
index 6ba48b38..dad24bde 100644
--- a/packages/openai_dart/lib/src/generated/schema/create_image_request.dart
+++ b/packages/openai_dart/lib/src/generated/schema/create_image_request.dart
@@ -32,7 +32,7 @@ class CreateImageRequest with _$CreateImageRequest {
     /// 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`.
     @Default(ImageQuality.standard) ImageQuality quality,
 
-    /// The format in which the generated images are returned. Must be one of `url` or `b64_json`.
+    /// 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.
     @JsonKey(
       name: 'response_format',
       includeIfNull: false,
@@ -194,7 +194,7 @@ enum ImageQuality {
 // ENUM: ImageResponseFormat
 // ==========================================
 
-/// The format in which the generated images are returned. Must be one of `url` or `b64_json`.
+/// 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.
 enum ImageResponseFormat {
   @JsonValue('url')
   url,
diff --git a/packages/openai_dart/lib/src/generated/schema/create_moderation_response.dart b/packages/openai_dart/lib/src/generated/schema/create_moderation_response.dart
index eae24da3..16f837bc 100644
--- a/packages/openai_dart/lib/src/generated/schema/create_moderation_response.dart
+++ b/packages/openai_dart/lib/src/generated/schema/create_moderation_response.dart
@@ -8,7 +8,7 @@ part of open_a_i_schema;
 // CLASS: CreateModerationResponse
 // ==========================================
 
-/// Represents policy compliance report by OpenAI's content moderation model against a given input.
+/// Represents if a given text input is potentially harmful.
 @freezed
 class CreateModerationResponse with _$CreateModerationResponse {
   const CreateModerationResponse._();
diff --git a/packages/openai_dart/lib/src/generated/schema/moderation.dart b/packages/openai_dart/lib/src/generated/schema/moderation.dart
index 9162fb03..eb1de3bd 100644
--- a/packages/openai_dart/lib/src/generated/schema/moderation.dart
+++ b/packages/openai_dart/lib/src/generated/schema/moderation.dart
@@ -15,7 +15,7 @@ class Moderation with _$Moderation {
 
   /// Factory constructor for Moderation
   const factory Moderation({
-    /// Whether the content violates [OpenAI's usage policies](https://platform.openai.com/policies/usage-policies).
+    /// Whether any of the below categories are flagged.
     required bool flagged,
 
     /// A list of the categories, and whether they are flagged or not.
diff --git a/packages/openai_dart/lib/src/generated/schema/run_object.dart b/packages/openai_dart/lib/src/generated/schema/run_object.dart
index 540c32c6..7c0c04fc 100644
--- a/packages/openai_dart/lib/src/generated/schema/run_object.dart
+++ b/packages/openai_dart/lib/src/generated/schema/run_object.dart
@@ -217,7 +217,7 @@ class RunLastError with _$RunLastError {
 
   /// Factory constructor for RunLastError
   const factory RunLastError({
-    /// One of `server_error` or `rate_limit_exceeded`.
+    /// One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
     required RunLastErrorCode code,
 
     /// A human-readable description of the error.
@@ -294,10 +294,12 @@ class RunSubmitToolOutputs with _$RunSubmitToolOutputs {
 // ENUM: RunLastErrorCode
 // ==========================================
 
-/// One of `server_error` or `rate_limit_exceeded`.
+/// One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
 enum RunLastErrorCode {
   @JsonValue('server_error')
   serverError,
   @JsonValue('rate_limit_exceeded')
   rateLimitExceeded,
+  @JsonValue('invalid_prompt')
+  invalidPrompt,
 }
diff --git a/packages/openai_dart/lib/src/generated/schema/schema.freezed.dart b/packages/openai_dart/lib/src/generated/schema/schema.freezed.dart
index 60f7f00b..1a8ba075 100644
--- a/packages/openai_dart/lib/src/generated/schema/schema.freezed.dart
+++ b/packages/openai_dart/lib/src/generated/schema/schema.freezed.dart
@@ -3356,10 +3356,6 @@ mixin _$CreateChatCompletionRequest {
   @JsonKey(name: 'frequency_penalty', includeIfNull: false)
   double? get frequencyPenalty => throw _privateConstructorUsedError;
 
-  /// An unique identifier to a custom instance to execute the request. The requesting organization is required to have access to the instance.
-  @JsonKey(name: 'instance_id', includeIfNull: false)
-  String? get instanceId => throw _privateConstructorUsedError;
-
   /// 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.
@@ -3370,7 +3366,7 @@ mixin _$CreateChatCompletionRequest {
   @JsonKey(includeIfNull: false)
   bool? get logprobs => throw _privateConstructorUsedError;
 
-  /// An integer between 0 and 5 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.
+  /// 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.
   @JsonKey(name: 'top_logprobs', includeIfNull: false)
   int? get topLogprobs => throw _privateConstructorUsedError;
 
@@ -3483,7 +3479,6 @@ abstract class $CreateChatCompletionRequestCopyWith<$Res> {
       List<ChatCompletionMessage> messages,
       @JsonKey(name: 'frequency_penalty', includeIfNull: false)
       double? frequencyPenalty,
-      @JsonKey(name: 'instance_id', includeIfNull: false) String? instanceId,
       @JsonKey(name: 'logit_bias', includeIfNull: false)
       Map<String, int>? logitBias,
       @JsonKey(includeIfNull: false) bool? logprobs,
@@ -3535,7 +3530,6 @@ class _$CreateChatCompletionRequestCopyWithImpl<$Res,
     Object? model = null,
     Object? messages = null,
     Object? frequencyPenalty = freezed,
-    Object? instanceId = freezed,
     Object? logitBias = freezed,
     Object? logprobs = freezed,
     Object? topLogprobs = freezed,
@@ -3567,10 +3561,6 @@ class _$CreateChatCompletionRequestCopyWithImpl<$Res,
           ? _value.frequencyPenalty
           : frequencyPenalty // ignore: cast_nullable_to_non_nullable
               as double?,
-      instanceId: freezed == instanceId
-          ? _value.instanceId
-          : instanceId // ignore: cast_nullable_to_non_nullable
-              as String?,
       logitBias: freezed == logitBias
           ? _value.logitBias
           : logitBias // ignore: cast_nullable_to_non_nullable
@@ -3716,7 +3706,6 @@ abstract class _$$CreateChatCompletionRequestImplCopyWith<$Res>
       List<ChatCompletionMessage> messages,
       @JsonKey(name: 'frequency_penalty', includeIfNull: false)
       double? frequencyPenalty,
-      @JsonKey(name: 'instance_id', includeIfNull: false) String? instanceId,
       @JsonKey(name: 'logit_bias', includeIfNull: false)
       Map<String, int>? logitBias,
       @JsonKey(includeIfNull: false) bool? logprobs,
@@ -3772,7 +3761,6 @@ class __$$CreateChatCompletionRequestImplCopyWithImpl<$Res>
     Object? model = null,
     Object? messages = null,
     Object? frequencyPenalty = freezed,
-    Object? instanceId = freezed,
     Object? logitBias = freezed,
     Object? logprobs = freezed,
     Object? topLogprobs = freezed,
@@ -3804,10 +3792,6 @@ class __$$CreateChatCompletionRequestImplCopyWithImpl<$Res>
           ? _value.frequencyPenalty
           : frequencyPenalty // ignore: cast_nullable_to_non_nullable
               as double?,
-      instanceId: freezed == instanceId
-          ? _value.instanceId
-          : instanceId // ignore: cast_nullable_to_non_nullable
-              as String?,
       logitBias: freezed == logitBias
           ? _value._logitBias
           : logitBias // ignore: cast_nullable_to_non_nullable
@@ -3888,7 +3872,6 @@ class _$CreateChatCompletionRequestImpl extends _CreateChatCompletionRequest {
       required final List<ChatCompletionMessage> messages,
       @JsonKey(name: 'frequency_penalty', includeIfNull: false)
       this.frequencyPenalty = 0.0,
-      @JsonKey(name: 'instance_id', includeIfNull: false) this.instanceId,
       @JsonKey(name: 'logit_bias', includeIfNull: false)
       final Map<String, int>? logitBias,
       @JsonKey(includeIfNull: false) this.logprobs,
@@ -3946,11 +3929,6 @@ class _$CreateChatCompletionRequestImpl extends _CreateChatCompletionRequest {
   @JsonKey(name: 'frequency_penalty', includeIfNull: false)
   final double? frequencyPenalty;
 
-  /// An unique identifier to a custom instance to execute the request. The requesting organization is required to have access to the instance.
-  @override
-  @JsonKey(name: 'instance_id', includeIfNull: false)
-  final String? instanceId;
-
   /// 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.
@@ -3974,7 +3952,7 @@ class _$CreateChatCompletionRequestImpl extends _CreateChatCompletionRequest {
   @JsonKey(includeIfNull: false)
   final bool? logprobs;
 
-  /// An integer between 0 and 5 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.
+  /// 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.
   @override
   @JsonKey(name: 'top_logprobs', includeIfNull: false)
   final int? topLogprobs;
@@ -4102,7 +4080,7 @@ class _$CreateChatCompletionRequestImpl extends _CreateChatCompletionRequest {
 
   @override
   String toString() {
-    return 'CreateChatCompletionRequest(model: $model, messages: $messages, frequencyPenalty: $frequencyPenalty, instanceId: $instanceId, logitBias: $logitBias, logprobs: $logprobs, topLogprobs: $topLogprobs, maxTokens: $maxTokens, n: $n, presencePenalty: $presencePenalty, responseFormat: $responseFormat, seed: $seed, stop: $stop, stream: $stream, temperature: $temperature, topP: $topP, tools: $tools, toolChoice: $toolChoice, user: $user, functionCall: $functionCall, functions: $functions)';
+    return 'CreateChatCompletionRequest(model: $model, messages: $messages, frequencyPenalty: $frequencyPenalty, logitBias: $logitBias, logprobs: $logprobs, topLogprobs: $topLogprobs, maxTokens: $maxTokens, n: $n, presencePenalty: $presencePenalty, responseFormat: $responseFormat, seed: $seed, stop: $stop, stream: $stream, temperature: $temperature, topP: $topP, tools: $tools, toolChoice: $toolChoice, user: $user, functionCall: $functionCall, functions: $functions)';
   }
 
   @override
@@ -4114,8 +4092,6 @@ class _$CreateChatCompletionRequestImpl extends _CreateChatCompletionRequest {
             const DeepCollectionEquality().equals(other._messages, _messages) &&
             (identical(other.frequencyPenalty, frequencyPenalty) ||
                 other.frequencyPenalty == frequencyPenalty) &&
-            (identical(other.instanceId, instanceId) ||
-                other.instanceId == instanceId) &&
             const DeepCollectionEquality()
                 .equals(other._logitBias, _logitBias) &&
             (identical(other.logprobs, logprobs) ||
@@ -4152,7 +4128,6 @@ class _$CreateChatCompletionRequestImpl extends _CreateChatCompletionRequest {
         model,
         const DeepCollectionEquality().hash(_messages),
         frequencyPenalty,
-        instanceId,
         const DeepCollectionEquality().hash(_logitBias),
         logprobs,
         topLogprobs,
@@ -4195,8 +4170,6 @@ abstract class _CreateChatCompletionRequest
       required final List<ChatCompletionMessage> messages,
       @JsonKey(name: 'frequency_penalty', includeIfNull: false)
       final double? frequencyPenalty,
-      @JsonKey(name: 'instance_id', includeIfNull: false)
-      final String? instanceId,
       @JsonKey(name: 'logit_bias', includeIfNull: false)
       final Map<String, int>? logitBias,
       @JsonKey(includeIfNull: false) final bool? logprobs,
@@ -4249,11 +4222,6 @@ abstract class _CreateChatCompletionRequest
   double? get frequencyPenalty;
   @override
 
-  /// An unique identifier to a custom instance to execute the request. The requesting organization is required to have access to the instance.
-  @JsonKey(name: 'instance_id', includeIfNull: false)
-  String? get instanceId;
-  @override
-
   /// 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.
@@ -4266,7 +4234,7 @@ abstract class _CreateChatCompletionRequest
   bool? get logprobs;
   @override
 
-  /// An integer between 0 and 5 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.
+  /// 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.
   @JsonKey(name: 'top_logprobs', includeIfNull: false)
   int? get topLogprobs;
   @override
@@ -8274,7 +8242,7 @@ mixin _$ChatCompletionTokenLogprob {
   /// The token.
   String get token => throw _privateConstructorUsedError;
 
-  /// The log probability of this token.
+  /// 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.
   double get logprob => throw _privateConstructorUsedError;
 
   /// 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.
@@ -8423,7 +8391,7 @@ class _$ChatCompletionTokenLogprobImpl extends _ChatCompletionTokenLogprob {
   @override
   final String token;
 
-  /// The log probability of this token.
+  /// 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.
   @override
   final double logprob;
 
@@ -8512,7 +8480,7 @@ abstract class _ChatCompletionTokenLogprob extends ChatCompletionTokenLogprob {
   String get token;
   @override
 
-  /// The log probability of this token.
+  /// 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.
   double get logprob;
   @override
 
@@ -8539,7 +8507,7 @@ mixin _$ChatCompletionTokenTopLogprob {
   /// The token.
   String get token => throw _privateConstructorUsedError;
 
-  /// The log probability of this token.
+  /// 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.
   double get logprob => throw _privateConstructorUsedError;
 
   /// 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.
@@ -8662,7 +8630,7 @@ class _$ChatCompletionTokenTopLogprobImpl
   @override
   final String token;
 
-  /// The log probability of this token.
+  /// 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.
   @override
   final double logprob;
 
@@ -8732,7 +8700,7 @@ abstract class _ChatCompletionTokenTopLogprob
   String get token;
   @override
 
-  /// The log probability of this token.
+  /// 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.
   double get logprob;
   @override
 
@@ -15918,7 +15886,7 @@ mixin _$CreateImageRequest {
   /// 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`.
   ImageQuality get quality => throw _privateConstructorUsedError;
 
-  /// The format in which the generated images are returned. Must be one of `url` or `b64_json`.
+  /// 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.
   @JsonKey(
       name: 'response_format',
       includeIfNull: false,
@@ -16187,7 +16155,7 @@ class _$CreateImageRequestImpl extends _CreateImageRequest {
   @JsonKey()
   final ImageQuality quality;
 
-  /// The format in which the generated images are returned. Must be one of `url` or `b64_json`.
+  /// 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.
   @override
   @JsonKey(
       name: 'response_format',
@@ -16302,7 +16270,7 @@ abstract class _CreateImageRequest extends CreateImageRequest {
   ImageQuality get quality;
   @override
 
-  /// The format in which the generated images are returned. Must be one of `url` or `b64_json`.
+  /// 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.
   @JsonKey(
       name: 'response_format',
       includeIfNull: false,
@@ -18950,7 +18918,7 @@ Moderation _$ModerationFromJson(Map<String, dynamic> json) {
 
 /// @nodoc
 mixin _$Moderation {
-  /// Whether the content violates [OpenAI's usage policies](https://platform.openai.com/policies/usage-policies).
+  /// Whether any of the below categories are flagged.
   bool get flagged => throw _privateConstructorUsedError;
 
   /// A list of the categories, and whether they are flagged or not.
@@ -19098,7 +19066,7 @@ class _$ModerationImpl extends _Moderation {
   factory _$ModerationImpl.fromJson(Map<String, dynamic> json) =>
       _$$ModerationImplFromJson(json);
 
-  /// Whether the content violates [OpenAI's usage policies](https://platform.openai.com/policies/usage-policies).
+  /// Whether any of the below categories are flagged.
   @override
   final bool flagged;
 
@@ -19161,7 +19129,7 @@ abstract class _Moderation extends Moderation {
 
   @override
 
-  /// Whether the content violates [OpenAI's usage policies](https://platform.openai.com/policies/usage-policies).
+  /// Whether any of the below categories are flagged.
   bool get flagged;
   @override
 
@@ -22933,7 +22901,7 @@ RunLastError _$RunLastErrorFromJson(Map<String, dynamic> json) {
 
 /// @nodoc
 mixin _$RunLastError {
-  /// One of `server_error` or `rate_limit_exceeded`.
+  /// One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
   RunLastErrorCode get code => throw _privateConstructorUsedError;
 
   /// A human-readable description of the error.
@@ -23030,7 +22998,7 @@ class _$RunLastErrorImpl extends _RunLastError {
   factory _$RunLastErrorImpl.fromJson(Map<String, dynamic> json) =>
       _$$RunLastErrorImplFromJson(json);
 
-  /// One of `server_error` or `rate_limit_exceeded`.
+  /// One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
   @override
   final RunLastErrorCode code;
 
@@ -23081,7 +23049,7 @@ abstract class _RunLastError extends RunLastError {
 
   @override
 
-  /// One of `server_error` or `rate_limit_exceeded`.
+  /// One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
   RunLastErrorCode get code;
   @override
 
diff --git a/packages/openai_dart/lib/src/generated/schema/schema.g.dart b/packages/openai_dart/lib/src/generated/schema/schema.g.dart
index 90f10a1d..cb0ff1a8 100644
--- a/packages/openai_dart/lib/src/generated/schema/schema.g.dart
+++ b/packages/openai_dart/lib/src/generated/schema/schema.g.dart
@@ -304,7 +304,6 @@ _$CreateChatCompletionRequestImpl _$$CreateChatCompletionRequestImplFromJson(
           .map((e) => ChatCompletionMessage.fromJson(e as Map<String, dynamic>))
           .toList(),
       frequencyPenalty: (json['frequency_penalty'] as num?)?.toDouble() ?? 0.0,
-      instanceId: json['instance_id'] as String?,
       logitBias: (json['logit_bias'] as Map<String, dynamic>?)?.map(
         (k, e) => MapEntry(k, e as int),
       ),
@@ -349,7 +348,6 @@ Map<String, dynamic> _$$CreateChatCompletionRequestImplToJson(
   }
 
   writeNotNull('frequency_penalty', instance.frequencyPenalty);
-  writeNotNull('instance_id', instance.instanceId);
   writeNotNull('logit_bias', instance.logitBias);
   writeNotNull('logprobs', instance.logprobs);
   writeNotNull('top_logprobs', instance.topLogprobs);
@@ -2141,6 +2139,7 @@ Map<String, dynamic> _$$RunLastErrorImplToJson(_$RunLastErrorImpl instance) =>
 const _$RunLastErrorCodeEnumMap = {
   RunLastErrorCode.serverError: 'server_error',
   RunLastErrorCode.rateLimitExceeded: 'rate_limit_exceeded',
+  RunLastErrorCode.invalidPrompt: 'invalid_prompt',
 };
 
 _$RunSubmitToolOutputsImpl _$$RunSubmitToolOutputsImplFromJson(
diff --git a/packages/openai_dart/oas/openapi_curated.yaml b/packages/openai_dart/oas/openapi_curated.yaml
index 185c46fe..65028db8 100644
--- a/packages/openai_dart/oas/openapi_curated.yaml
+++ b/packages/openai_dart/oas/openapi_curated.yaml
@@ -32,7 +32,7 @@ tags:
   - name: Models
     description: List and describe the various models available in the API.
   - name: Moderations
-    description: Given a input text, outputs if the model classifies it as violating OpenAI's content policy.
+    description: Given a input text, outputs if the model classifies it as potentially harmful.
 
 paths:
   /chat/completions:
@@ -306,7 +306,7 @@ paths:
       operationId: createModeration
       tags:
         - Moderations
-      summary: Classifies if text violates OpenAI's Content Policy.
+      summary: Classifies if text is potentially harmful.
       requestBody:
         required: true
         content:
@@ -1497,11 +1497,6 @@ components:
           maximum: 2
           nullable: true
           description: *completions_frequency_penalty_description
-        instance_id:
-          type: string
-          default: null
-          nullable: true
-          description: An unique identifier to a custom instance to execute the request. The requesting organization is required to have access to the instance.
         logit_bias:
           type: object
           default: null
@@ -1517,10 +1512,10 @@ components:
           type: boolean
           nullable: true
         top_logprobs:
-          description: An integer between 0 and 5 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.
+          description: 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.
           type: integer
           minimum: 0
-          maximum: 5
+          maximum: 20
           nullable: true
         max_tokens:
           description: |
@@ -2011,7 +2006,7 @@ components:
           description: The token.
           type: string
         logprob: &chat_completion_response_logprobs_token_logprob
-          description: The log probability of this token.
+          description: 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.
           type: number
         bytes: &chat_completion_response_logprobs_bytes
           description: 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.
@@ -2568,7 +2563,7 @@ components:
           default: "url"
           example: "url"
           nullable: true
-          description: The format in which the generated images are returned. Must be one of `url` or `b64_json`.
+          description: 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.
         size: &images_size
           title: ImageSize
           type: string
@@ -2709,7 +2704,7 @@ components:
         - input
     CreateModerationResponse:
       type: object
-      description: Represents policy compliance report by OpenAI's content moderation model against a given input.
+      description: Represents if a given text input is potentially harmful.
       properties:
         id:
           type: string
@@ -2732,7 +2727,7 @@ components:
       properties:
         flagged:
           type: boolean
-          description: Whether the content violates [OpenAI's usage policies](https://platform.openai.com/policies/usage-policies).
+          description: Whether any of the below categories are flagged.
         categories:
           $ref: "#/components/schemas/ModerationCategories"
         category_scores:
@@ -3150,8 +3145,8 @@ components:
           properties:
             code:
               type: string
-              description: One of `server_error` or `rate_limit_exceeded`.
-              enum: [ "server_error", "rate_limit_exceeded" ]
+              description: One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
+              enum: ["server_error", "rate_limit_exceeded", "invalid_prompt"]
             message:
               type: string
               description: A human-readable description of the error.
diff --git a/packages/openai_dart/oas/openapi_official.yaml b/packages/openai_dart/oas/openapi_official.yaml
index 4e74cf94..a370a155 100644
--- a/packages/openai_dart/oas/openapi_official.yaml
+++ b/packages/openai_dart/oas/openapi_official.yaml
@@ -32,7 +32,7 @@ tags:
   - name: Models
     description: List and describe the various models available in the API.
   - name: Moderations
-    description: Given a input text, outputs if the model classifies it as violating OpenAI's content policy.
+    description: Given a input text, outputs if the model classifies it as potentially harmful.
 paths:
   # Note: When adding an endpoint, make sure you also add it in the `groups` section, in the end of this file,
   # under the appropriate group
@@ -115,7 +115,7 @@ paths:
                 "id": "chatcmpl-123",
                 "object": "chat.completion",
                 "created": 1677652288,
-                "model": "gpt-3.5-turbo-0613",
+                "model": "gpt-3.5-turbo-0125",
                 "system_fingerprint": "fp_44709d6fcb",
                 "choices": [{
                   "index": 0,
@@ -212,7 +212,7 @@ paths:
                 "id": "chatcmpl-123",
                 "object": "chat.completion",
                 "created": 1677652288,
-                "model": "gpt-3.5-turbo-0613",
+                "model": "gpt-3.5-turbo-0125",
                 "system_fingerprint": "fp_44709d6fcb",
                 "choices": [{
                   "index": 0,
@@ -287,19 +287,13 @@ paths:
 
                 main();
             response: &chat_completion_chunk_example |
-              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0125", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
 
-              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]}
-
-              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"!"},"logprobs":null,"finish_reason":null}]}
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0125", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]}
 
               ....
 
-              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":" today"},"logprobs":null,"finish_reason":null}]}
-
-              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{"content":"?"},"logprobs":null,"finish_reason":null}]}
-
-              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0613", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-3.5-turbo-0125", "system_fingerprint": "fp_44709d6fcb", "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
           - title: Functions
             request:
               curl: |
@@ -416,7 +410,7 @@ paths:
                 "id": "chatcmpl-abc123",
                 "object": "chat.completion",
                 "created": 1699896916,
-                "model": "gpt-3.5-turbo-0613",
+                "model": "gpt-3.5-turbo-0125",
                 "choices": [
                   {
                     "index": 0,
@@ -498,7 +492,7 @@ paths:
                 "id": "chatcmpl-123",
                 "object": "chat.completion",
                 "created": 1702685778,
-                "model": "gpt-3.5-turbo-0613",
+                "model": "gpt-3.5-turbo-0125",
                 "choices": [
                   {
                     "index": 0,
@@ -1201,47 +1195,174 @@ paths:
           content:
             application/json:
               schema:
-                $ref: "#/components/schemas/CreateTranscriptionResponse"
+                oneOf:
+                  - $ref: "#/components/schemas/CreateTranscriptionResponseJson"
+                  - $ref: "#/components/schemas/CreateTranscriptionResponseVerboseJson"
       x-oaiMeta:
         name: Create transcription
         group: audio
-        returns: The transcribed text.
+        returns: The [transcription object](/docs/api-reference/audio/json-object) or a [verbose transcription object](/docs/api-reference/audio/verbose-json-object).
         examples:
-          request:
-            curl: |
-              curl https://api.openai.com/v1/audio/transcriptions \
-                -H "Authorization: Bearer $OPENAI_API_KEY" \
-                -H "Content-Type: multipart/form-data" \
-                -F file="@/path/to/file/audio.mp3" \
-                -F model="whisper-1"
-            python: |
-              from openai import OpenAI
-              client = OpenAI()
+          - title: Default
+            request:
+              curl: |
+                curl https://api.openai.com/v1/audio/transcriptions \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: multipart/form-data" \
+                  -F file="@/path/to/file/audio.mp3" \
+                  -F model="whisper-1"
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
 
-              audio_file = open("speech.mp3", "rb")
-              transcript = client.audio.transcriptions.create(
-                model="whisper-1",
-                file=audio_file
-              )
-            node: |
-              import fs from "fs";
-              import OpenAI from "openai";
+                audio_file = open("speech.mp3", "rb")
+                transcript = client.audio.transcriptions.create(
+                  model="whisper-1",
+                  file=audio_file
+                )
+              node: |
+                import fs from "fs";
+                import OpenAI from "openai";
 
-              const openai = new OpenAI();
+                const openai = new OpenAI();
 
-              async function main() {
-                const transcription = await openai.audio.transcriptions.create({
-                  file: fs.createReadStream("audio.mp3"),
-                  model: "whisper-1",
-                });
+                async function main() {
+                  const transcription = await openai.audio.transcriptions.create({
+                    file: fs.createReadStream("audio.mp3"),
+                    model: "whisper-1",
+                  });
 
-                console.log(transcription.text);
+                  console.log(transcription.text);
+                }
+                main();
+            response: &basic_transcription_response_example |
+              {
+                "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
+              }
+          - title: Word timestamps
+            request:
+              curl: |
+                curl https://api.openai.com/v1/audio/transcriptions \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: multipart/form-data" \
+                  -F file="@/path/to/file/audio.mp3" \
+                  -F "timestamp_granularities[]=word" \
+                  -F model="whisper-1" \
+                  -F response_format="verbose_json"
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                audio_file = open("speech.mp3", "rb")
+                transcript = client.audio.transcriptions.create(
+                  file=audio_file,
+                  model="whisper-1",
+                  response_format="verbose_json",
+                  timestamp_granularities=["word"]
+                )
+                
+                print(transcript.words)
+              node: |
+                import fs from "fs";
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const transcription = await openai.audio.transcriptions.create({
+                    file: fs.createReadStream("audio.mp3"),
+                    model: "whisper-1",
+                    response_format: "verbose_json",
+                    timestamp_granularities: ["word"]
+                  });
+
+                  console.log(transcription.text);
+                }
+                main();
+            response: |
+              {
+                "task": "transcribe",
+                "language": "english",
+                "duration": 8.470000267028809,
+                "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.",
+                "words": [
+                  {
+                    "word": "The",
+                    "start": 0.0,
+                    "end": 0.23999999463558197
+                  },
+                  ...
+                  {
+                    "word": "volleyball",
+                    "start": 7.400000095367432,
+                    "end": 7.900000095367432
+                  }
+                ]
+              }
+          - title: Segment timestamps
+            request:
+              curl: |
+                curl https://api.openai.com/v1/audio/transcriptions \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: multipart/form-data" \
+                  -F file="@/path/to/file/audio.mp3" \
+                  -F "timestamp_granularities[]=segment" \
+                  -F model="whisper-1" \
+                  -F response_format="verbose_json"
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                audio_file = open("speech.mp3", "rb")
+                transcript = client.audio.transcriptions.create(
+                  file=audio_file,
+                  model="whisper-1",
+                  response_format="verbose_json",
+                  timestamp_granularities=["segment"]
+                )
+                
+                print(transcript.words)
+              node: |
+                import fs from "fs";
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const transcription = await openai.audio.transcriptions.create({
+                    file: fs.createReadStream("audio.mp3"),
+                    model: "whisper-1",
+                    response_format: "verbose_json",
+                    timestamp_granularities: ["segment"]
+                  });
+
+                  console.log(transcription.text);
+                }
+                main();
+            response: &verbose_transcription_response_example |
+              {
+                "task": "transcribe",
+                "language": "english",
+                "duration": 8.470000267028809,
+                "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.",
+                "segments": [
+                  {
+                    "id": 0,
+                    "seek": 0,
+                    "start": 0.0,
+                    "end": 3.319999933242798,
+                    "text": " The beach was a popular spot on a hot summer day.",
+                    "tokens": [
+                      50364, 440, 7534, 390, 257, 3743, 4008, 322, 257, 2368, 4266, 786, 13, 50530
+                    ],
+                    "temperature": 0.0,
+                    "avg_logprob": -0.2860786020755768,
+                    "compression_ratio": 1.2363636493682861,
+                    "no_speech_prob": 0.00985979475080967
+                  },
+                  ...
+                ]
               }
-              main();
-          response: |
-            {
-              "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
-            }
   /audio/translations:
     post:
       operationId: createTranslation
@@ -1260,7 +1381,9 @@ paths:
           content:
             application/json:
               schema:
-                $ref: "#/components/schemas/CreateTranslationResponse"
+                oneOf:
+                  - $ref: "#/components/schemas/CreateTranslationResponseJson"
+                  - $ref: "#/components/schemas/CreateTranslationResponseVerboseJson"
       x-oaiMeta:
         name: Create translation
         group: audio
@@ -1658,7 +1781,7 @@ paths:
               {
                 "object": "fine_tuning.job",
                 "id": "ftjob-abc123",
-                "model": "gpt-3.5-turbo-0613",
+                "model": "gpt-3.5-turbo-0125",
                 "created_at": 1614807352,
                 "fine_tuned_model": null,
                 "organization_id": "org-123",
@@ -1711,7 +1834,7 @@ paths:
               {
                 "object": "fine_tuning.job",
                 "id": "ftjob-abc123",
-                "model": "gpt-3.5-turbo-0613",
+                "model": "gpt-3.5-turbo-0125",
                 "created_at": 1614807352,
                 "fine_tuned_model": null,
                 "organization_id": "org-123",
@@ -1760,7 +1883,7 @@ paths:
               {
                 "object": "fine_tuning.job",
                 "id": "ftjob-abc123",
-                "model": "gpt-3.5-turbo-0613",
+                "model": "gpt-3.5-turbo-0125",
                 "created_at": 1614807352,
                 "fine_tuned_model": null,
                 "organization_id": "org-123",
@@ -2056,7 +2179,7 @@ paths:
             {
               "object": "fine_tuning.job",
               "id": "ftjob-abc123",
-              "model": "gpt-3.5-turbo-0613",
+              "model": "gpt-3.5-turbo-0125",
               "created_at": 1689376978,
               "fine_tuned_model": null,
               "organization_id": "org-123",
@@ -2247,7 +2370,7 @@ paths:
       operationId: createModeration
       tags:
         - Moderations
-      summary: Classifies if text violates OpenAI's Content Policy
+      summary: Classifies if text is potentially harmful.
       requestBody:
         required: true
         content:
@@ -2278,7 +2401,8 @@ paths:
               from openai import OpenAI
               client = OpenAI()
 
-              client.moderations.create(input="I want to kill them.")
+              moderation = client.moderations.create(input="I want to kill them.")
+              print(moderation)
             node.js: |
               import OpenAI from "openai";
 
@@ -5817,11 +5941,6 @@ components:
           maximum: 2
           nullable: true
           description: *completions_frequency_penalty_description
-        instance_id:
-          type: string
-          default: null
-          nullable: true
-          description: An unique identifier to a custom instance to execute the request. The requesting organization is required to have access to the instance.
         logit_bias:
           type: object
           x-oaiTypeLabel: map
@@ -5839,10 +5958,10 @@ components:
           default: false
           nullable: true
         top_logprobs:
-          description: An integer between 0 and 5 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.
+          description: 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.
           type: integer
           minimum: 0
-          maximum: 5
+          maximum: 20
           nullable: true
         max_tokens:
           description: |
@@ -6117,7 +6236,7 @@ components:
           description: The token.
           type: string
         logprob: &chat_completion_response_logprobs_token_logprob
-          description: The log probability of this token.
+          description: 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.
           type: number
         bytes: &chat_completion_response_logprobs_bytes
           description: 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.
@@ -6267,7 +6386,7 @@ components:
           default: "url"
           example: "url"
           nullable: true
-          description: The format in which the generated images are returned. Must be one of `url` or `b64_json`.
+          description: 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.
         size: &images_size
           type: string
           enum: ["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"]
@@ -6421,7 +6540,7 @@ components:
 
     CreateModerationResponse:
       type: object
-      description: Represents policy compliance report by OpenAI's content moderation model against a given input.
+      description: Represents if a given text input is potentially harmful.
       properties:
         id:
           type: string
@@ -6437,7 +6556,7 @@ components:
             properties:
               flagged:
                 type: boolean
-                description: Whether the content violates [OpenAI's usage policies](/policies/usage-policies).
+                description: Whether any of the below categories are flagged.
               categories:
                 type: object
                 description: A list of the categories, and whether they are flagged or not.
@@ -6814,7 +6933,7 @@ components:
           format: binary
         model:
           description: |
-            ID of the model to use. Only `whisper-1` is currently available.
+            ID of the model to use. Only `whisper-1` (which is powered by our open source Whisper V2 model) is currently available.
           example: whisper-1
           anyOf:
             - type: string
@@ -6847,7 +6966,7 @@ components:
           default: 0
         timestamp_granularities[]:
           description: |
-            The timestamp granularities to populate for this transcription. Any of these options: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.
+            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.
           type: array
           items:
             type: string
@@ -6860,13 +6979,117 @@ components:
         - model
 
     # Note: This does not currently support the non-default response format types.
-    CreateTranscriptionResponse:
+    CreateTranscriptionResponseJson:
       type: object
+      description: Represents a transcription response returned by model, based on the provided input.
       properties:
         text:
           type: string
+          description: The transcribed text.
+      required:
+        - text
+      x-oaiMeta:
+        name: The transcription object
+        group: audio
+        example: *basic_transcription_response_example
+
+    TranscriptionSegment:
+      type: object
+      properties:
+        id:
+          type: integer
+          description: Unique identifier of the segment.
+        seek:
+          type: integer
+          description: Seek offset of the segment.
+        start:
+          type: number
+          format: float
+          description: Start time of the segment in seconds.
+        end:
+          type: number
+          format: float
+          description: End time of the segment in seconds.
+        text:
+          type: string
+          description: Text content of the segment.
+        tokens:
+          type: array
+          items:
+            type: integer
+          description: Array of token IDs for the text content.
+        temperature:
+          type: number
+          format: float
+          description: Temperature parameter used for generating the segment.
+        avg_logprob:
+          type: number
+          format: float
+          description: Average logprob of the segment. If the value is lower than -1, consider the logprobs failed.
+        compression_ratio:
+          type: number
+          format: float
+          description: Compression ratio of the segment. If the value is greater than 2.4, consider the compression failed.
+        no_speech_prob:
+          type: number
+          format: float
+          description: 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.
       required:
+        - id
+        - seek
+        - start
+        - end
         - text
+        - tokens
+        - temperature
+        - avg_logprob
+        - compression_ratio
+        - no_speech_prob
+
+    TranscriptionWord:
+      type: object
+      properties:
+        word:
+          type: string
+          description: The text content of the word.
+        start:
+          type: number
+          format: float
+          description: Start time of the word in seconds.
+        end:
+          type: number
+          format: float
+          description: End time of the word in seconds.
+      required: [word, start, end]
+
+    CreateTranscriptionResponseVerboseJson:
+      type: object
+      description: Represents a verbose json transcription response returned by model, based on the provided input.
+      properties:
+        language:
+          type: string
+          description: The language of the input audio.
+        duration:
+          type: string
+          description: The duration of the input audio.
+        text:
+          type: string
+          description: The transcribed text.
+        words:
+          type: array
+          description: Extracted words and their corresponding timestamps.
+          items:
+            $ref: '#/components/schemas/TranscriptionWord'
+        segments:
+          type: array
+          description: Segments of the transcribed text and their corresponding details.
+          items:
+            $ref: '#/components/schemas/TranscriptionSegment'
+      required: [language, duration, text]
+      x-oaiMeta:
+        name: The transcription object
+        group: audio
+        example: *verbose_transcription_response_example
 
     CreateTranslationRequest:
       type: object
@@ -6880,7 +7103,7 @@ components:
           format: binary
         model:
           description: |
-            ID of the model to use. Only `whisper-1` is currently available.
+            ID of the model to use. Only `whisper-1` (which is powered by our open source Whisper V2 model) is currently available.
           example: whisper-1
           anyOf:
             - type: string
@@ -6906,7 +7129,7 @@ components:
         - model
 
     # Note: This does not currently support the non-default response format types.
-    CreateTranslationResponse:
+    CreateTranslationResponseJson:
       type: object
       properties:
         text:
@@ -6914,6 +7137,25 @@ components:
       required:
         - text
 
+    CreateTranslationResponseVerboseJson:
+      type: object
+      properties:
+        language:
+          type: string
+          description: The language of the output translation (always `english`).
+        duration:
+          type: string
+          description: The duration of the input audio.
+        text:
+          type: string
+          description: The translated text.
+        segments:
+          type: array
+          description: Segments of the translated text and their corresponding details.
+          items:
+            $ref: '#/components/schemas/TranscriptionSegment'
+      required: [language, duration, text]
+
     CreateSpeechRequest:
       type: object
       additionalProperties: false
@@ -6935,10 +7177,10 @@ components:
           type: string
           enum: ["alloy", "echo", "fable", "onyx", "nova", "shimmer"]
         response_format:
-          description: "The format to audio in. Supported formats are `mp3`, `opus`, `aac`, and `flac`."
+          description: "The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`, `wav`, and `pcm`."
           default: "mp3"
           type: string
-          enum: ["mp3", "opus", "aac", "flac"]
+          enum: ["mp3", "opus", "aac", "flac", "wav", "pcm"]
         speed:
           description: "The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is the default."
           type: number
@@ -7595,8 +7837,8 @@ components:
           properties:
             code:
               type: string
-              description: One of `server_error` or `rate_limit_exceeded`.
-              enum: ["server_error", "rate_limit_exceeded"]
+              description: One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
+              enum: ["server_error", "rate_limit_exceeded", "invalid_prompt"]
             message:
               type: string
               description: A human-readable description of the error.
@@ -8726,6 +8968,12 @@ x-oaiMeta:
         - type: endpoint
           key: createTranslation
           path: createTranslation
+        - type: object
+          key: CreateTranscriptionResponseJson
+          path: json-object
+        - type: object
+          key: CreateTranscriptionResponseVerboseJson
+          path: verbose-json-object
     - id: chat
       title: Chat
       description: |
@@ -8845,7 +9093,7 @@ x-oaiMeta:
     - id: moderations
       title: Moderations
       description: |
-        Given a input text, outputs if the model classifies it as violating OpenAI's content policy.
+        Given some input text, outputs if the model classifies it as potentially harmful across several categories.
 
         Related guide: [Moderations](/docs/guides/moderation)
       sections:
@@ -8996,7 +9244,7 @@ x-oaiMeta:
       title: Completions
       legacy: true
       description: |
-        Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our [Chat Completions API](/docs/guides/text-generation/text-generation-models) to leverage our best and newest models. Most models that support the legacy Completions endpoint [will be shut off on January 4th, 2024](/docs/deprecations/2023-07-06-gpt-and-embeddings).
+        Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our [Chat Completions API](/docs/guides/text-generation/text-generation-models) to leverage our best and newest models.
       sections:
         - type: endpoint
           key: createCompletion