model

type APIError struct {
	Code           string  `json:"code,omitempty"`
	Message        string  `json:"message"`
	Param          *string `json:"param,omitempty"`
	Type           string  `json:"type"`
	HTTPStatusCode int     `json:"-"`
	RequestId      string  `json:"request_id"`
}

type Base64Embedding struct {
	Object    string       `json:"object"`
	Embedding base64String `json:"embedding"`
	Index     int          `json:"index"`
}

type BotActionDetail struct {
	Name        string           `json:"name"`                   // 插件分类名称，如 content_plugin（内容插件）等
	Count       int              `json:"count"`                  // 本次请求某插件分类中插件调用次数
	ToolDetails []*BotToolDetail `json:"tool_details,omitempty"` // 某插件分类中插件调用详细信息
}

type BotActionUsage struct {
	Name             string  `json:"name"`
	PromptTokens     string  `json:"prompt_tokens,omitempty"`
	CompletionTokens int     `json:"completion_tokens,omitempty"`
	TotalTokens      int     `json:"total_tokens,omitempty"`
	SearchCount      int     `json:"search_count,omitempty"`
	ActionName       *string `json:"action_name,omitempty"`
	Count            *int    `json:"count,omitempty"`
}

type BotChatCompletionRequest struct {
	BotId             string                   `json:"bot_id,omitempty"`
	Model             string                   `json:"model"`
	Messages          []*ChatCompletionMessage `json:"messages"`
	MaxTokens         int                      `json:"max_tokens,omitempty"`
	Temperature       float32                  `json:"temperature,omitempty"`
	TopP              float32                  `json:"top_p,omitempty"`
	Stream            bool                     `json:"stream,omitempty"`
	Stop              []string                 `json:"stop,omitempty"`
	FrequencyPenalty  float32                  `json:"frequency_penalty,omitempty"`
	LogitBias         map[string]int           `json:"logit_bias,omitempty"`
	LogProbs          bool                     `json:"logprobs,omitempty"`
	TopLogProbs       int                      `json:"top_logprobs,omitempty"`
	User              string                   `json:"user,omitempty"`
	FunctionCall      interface{}              `json:"function_call,omitempty"`
	Tools             []*Tool                  `json:"tools,omitempty"`
	ToolChoice        interface{}              `json:"tool_choice,omitempty"`
	StreamOptions     *StreamOptions           `json:"stream_options,omitempty"`
	PresencePenalty   float32                  `json:"presence_penalty,omitempty"`
	RepetitionPenalty float32                  `json:"repetition_penalty,omitempty"`
	N                 int                      `json:"n,omitempty"`
	ResponseFormat    *ResponseFormat          `json:"response_format,omitempty"`
	Thinking          *Thinking                `json:"thinking,omitempty"`
	Metadata          map[string]interface{}   `json:"metadata,omitempty"`
}

type BotChatCompletionResponse struct {
	ChatCompletionResponse
	Metadata   map[string]interface{}    `json:"metadata,omitempty"`
	BotUsage   *BotUsage                 `json:"bot_usage,omitempty"`
	References []*BotChatResultReference `json:"references,omitempty"`
}

type BotChatCompletionStreamResponse struct {
	ChatCompletionStreamResponse
	Metadata   map[string]interface{}    `json:"metadata,omitempty"`
	BotUsage   *BotUsage                 `json:"bot_usage,omitempty"`
	References []*BotChatResultReference `json:"references,omitempty"`
}

type BotChatResultReference struct {
	Url                string                 `json:"url,omitempty"`
	LogoUrl            string                 `json:"logo_url,omitempty"`
	MobileUrl          string                 `json:"mobile_url,omitempty"`
	SiteName           string                 `json:"site_name,omitempty"`
	Title              string                 `json:"title,omitempty"`
	CoverImage         *BotCoverImage         `json:"cover_image,omitempty"`
	Summary            string                 `json:"summary,omitempty"`
	PublishTime        string                 `json:"publish_time,omitempty"`
	CollectionName     string                 `json:"collection_name,omitempty"`
	Project            string                 `json:"project,omitempty"`
	DocId              string                 `json:"doc_id,omitempty"`
	DocName            string                 `json:"doc_name,omitempty"`
	DocType            string                 `json:"doc_type,omitempty"`
	DocTitle           string                 `json:"doc_title,omitempty"`
	ChunkId            string                 `json:"chunk_id,omitempty"`
	ChunkTitle         string                 `json:"chunk_title,omitempty"`
	PageNums           string                 `json:"page_nums,omitempty"`
	OriginTextTokenLen int                    `json:"origin_text_token_len,omitempty"`
	FileName           string                 `json:"file_name,omitempty"`
	Extra              map[string]interface{} `json:"extra,omitempty"`
}

type BotCoverImage struct {
	Url    string `json:"url,omitempty"`
	Width  int    `json:"width,omitempty"`
	Height int    `json:"height,omitempty"`
}

type BotModelUsage struct {
	Usage
	Name string `json:"name"`
}

type BotToolDetail struct {
	Name        string      `json:"name"`         // 具体调用的工具名称
	Input       interface{} `json:"input"`        // 插件输入参数，调用插件的数据结构
	Output      interface{} `json:"output"`       // 插件输出结果，调用插件返回的数据结构
	CreatedAt   int         `json:"created_at"`   // 插件调用开始时间
	CompletedAt int         `json:"completed_at"` // 插件调用结束时间
}

type BotUsage struct {
	ModelUsage  []*BotModelUsage  `json:"model_usage,omitempty"`
	ActionUsage []*BotActionUsage `json:"action_usage,omitempty"`

	ActionDetails []*BotActionDetail `json:"action_details,omitempty"` // 本次请求插件调用详情
}

type CertificateResponse struct {
	Error       map[string]string `json:"error,omitempty"`
	Certificate string            `json:"Certificate"`
}

type ChatCompletionChoice struct {
	Index   int                   `json:"index"`
	Message ChatCompletionMessage `json:"message"`
	// FinishReason
	// stop: API returned complete message,
	// or a message terminated by one of the stop sequences provided via the stop parameter
	// length: Incomplete model output due to max_tokens parameter or token limit
	// function_call: The model decided to call a function
	// content_filter: Omitted content due to a flag from our content filters
	// null: API response still in progress or incomplete
	FinishReason FinishReason `json:"finish_reason"`
	// ModerationHitType
	// The type of content moderation strategy hit.
	// Only after selecting a moderation strategy for the endpoint that supports returning moderation hit types,
	// API will return the corresponding values.
	ModerationHitType *ChatCompletionResponseChoicesElemModerationHitType `json:"moderation_hit_type,omitempty" yaml:"moderation_hit_type,omitempty" mapstructure:"moderation_hit_type,omitempty"`
	LogProbs          *LogProbs                                           `json:"logprobs,omitempty"`
}

type ChatCompletionMessage struct {
	Role             string                        `json:"role"`
	Content          *ChatCompletionMessageContent `json:"content"`
	ReasoningContent *string                       `json:"reasoning_content,omitempty"`
	Name             *string                       `json:"name"`
	FunctionCall     *FunctionCall                 `json:"function_call,omitempty"`
	ToolCalls        []*ToolCall                   `json:"tool_calls,omitempty"`
	ToolCallID       string                        `json:"tool_call_id,omitempty"`
}

type ChatCompletionMessageContent struct {
	StringValue *string
	ListValue   []*ChatCompletionMessageContentPart
}

type ChatCompletionMessageContentPart struct {
	Type     ChatCompletionMessageContentPartType `json:"type,omitempty"`
	Text     string                               `json:"text,omitempty"`
	ImageURL *ChatMessageImageURL                 `json:"image_url,omitempty"`
	VideoURL *ChatMessageVideoURL                 `json:"video_url,omitempty"`
}

type ChatCompletionMessageContentPartType string

type ChatCompletionResponse struct {
	ID      string `json:"id"`
	Object  string `json:"object"`
	Created int64  `json:"created"`
	Model   string `json:"model"`
	// mark the request is scale-tier or default, only exists for scale-tier
	ServiceTier string                  `json:"service_tier,omitempty"`
	Choices     []*ChatCompletionChoice `json:"choices"`
	Usage       Usage                   `json:"usage"`

	HttpHeader
}

type ChatCompletionResponseChoicesElemModerationHitType string

type ChatCompletionStreamChoice struct {
	Index             int                                                 `json:"index"`
	Delta             ChatCompletionStreamChoiceDelta                     `json:"delta"`
	LogProbs          *LogProbs                                           `json:"logprobs,omitempty"`
	FinishReason      FinishReason                                        `json:"finish_reason"`
	ModerationHitType *ChatCompletionResponseChoicesElemModerationHitType `json:"moderation_hit_type,omitempty" yaml:"moderation_hit_type,omitempty" mapstructure:"moderation_hit_type,omitempty"`
}

type ChatCompletionStreamChoiceDelta struct {
	Content          string        `json:"content,omitempty"`
	Role             string        `json:"role,omitempty"`
	ReasoningContent *string       `json:"reasoning_content,omitempty"`
	FunctionCall     *FunctionCall `json:"function_call,omitempty"`
	ToolCalls        []*ToolCall   `json:"tool_calls,omitempty"`
}

type ChatCompletionStreamResponse struct {
	ID      string `json:"id"`
	Object  string `json:"object"`
	Created int64  `json:"created"`
	Model   string `json:"model"`
	// mark the request is scale-tier or default, only exists for scale-tier
	ServiceTier string                        `json:"service_tier,omitempty"`
	Choices     []*ChatCompletionStreamChoice `json:"choices"`
	// 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.
	Usage *Usage `json:"usage,omitempty"`
}

type ChatMessageImageURL struct {
	URL    string         `json:"url,omitempty"`
	Detail ImageURLDetail `json:"detail,omitempty"`
}

type ChatMessageVideoURL struct {
	URL string   `json:"url"`
	FPS *float64 `json:"fps,omitempty"`
}

type ChatRequest interface {
	json.Marshaler
	WithStream(stream bool) ChatRequest
	IsStream() bool
	GetModel() string
}

type CompletionTokensDetails struct {
	ReasoningTokens   int  `json:"reasoning_tokens"`
	ProvisionedTokens *int `json:"provisioned_tokens,omitempty"`
}

type Content struct {
	VideoURL     string `json:"video_url"`
	LastFrameURL string `json:"last_frame_url"`
	FileURL      string `json:"file_url"`
}

type ContentGenerationContentItemType string

type ContentGenerationError struct {
	Code    string `json:"code"`
	Message string `json:"message"`
}

type ContentGenerationUsage struct {
	CompletionTokens int `json:"completion_tokens"`
}

type ContextChatCompletionRequest struct {
	ContextID        string                   `json:"context_id"`
	Mode             ContextMode              `json:"mode"`
	Model            string                   `json:"model"`
	Messages         []*ChatCompletionMessage `json:"messages"`
	MaxTokens        int                      `json:"max_tokens,omitempty"`
	Temperature      float32                  `json:"temperature,omitempty"`
	TopP             float32                  `json:"top_p,omitempty"`
	Stream           bool                     `json:"stream,omitempty"`
	Stop             []string                 `json:"stop,omitempty"`
	FrequencyPenalty float32                  `json:"frequency_penalty,omitempty"`
	LogitBias        map[string]int           `json:"logit_bias,omitempty"`
	LogProbs         bool                     `json:"logprobs,omitempty"`
	TopLogProbs      int                      `json:"top_logprobs,omitempty"`
	User             string                   `json:"user,omitempty"`
	FunctionCall     interface{}              `json:"function_call,omitempty"`
	Tools            []*Tool                  `json:"tools,omitempty"`
	ToolChoice       interface{}              `json:"tool_choice,omitempty"`
	StreamOptions    *StreamOptions           `json:"stream_options,omitempty"`
	Metadata         map[string]interface{}   `json:"metadata,omitempty"`
}

type ContextMode string

type CreateChatCompletionRequest struct {
	Model               string                   `json:"model"`
	Messages            []*ChatCompletionMessage `json:"messages"`
	MaxTokens           *int                     `json:"max_tokens,omitempty"`
	Temperature         *float32                 `json:"temperature,omitempty"`
	TopP                *float32                 `json:"top_p,omitempty"`
	Stream              *bool                    `json:"stream,omitempty"`
	Stop                []string                 `json:"stop,omitempty"`
	FrequencyPenalty    *float32                 `json:"frequency_penalty,omitempty"`
	LogitBias           map[string]int           `json:"logit_bias,omitempty"`
	LogProbs            *bool                    `json:"logprobs,omitempty"`
	TopLogProbs         *int                     `json:"top_logprobs,omitempty"`
	User                *string                  `json:"user,omitempty"`
	FunctionCall        interface{}              `json:"function_call,omitempty"`
	Tools               []*Tool                  `json:"tools,omitempty"`
	ToolChoice          interface{}              `json:"tool_choice,omitempty"`
	StreamOptions       *StreamOptions           `json:"stream_options,omitempty"`
	PresencePenalty     *float32                 `json:"presence_penalty,omitempty"`
	RepetitionPenalty   *float32                 `json:"repetition_penalty,omitempty"`
	N                   *int                     `json:"n,omitempty"`
	ResponseFormat      *ResponseFormat          `json:"response_format,omitempty"`
	ParallelToolCalls   *bool                    `json:"parallel_tool_calls,omitempty"`
	ServiceTier         *string                  `json:"service_tier,omitempty"`
	Thinking            *Thinking                `json:"thinking,omitempty"`
	MaxCompletionTokens *int                     `json:"max_completion_tokens,omitempty"`
	ReasoningEffort     *ReasoningEffort         `json:"reasoning_effort,omitempty"`
}

type CreateContentGenerationContentItem struct {
	Type      ContentGenerationContentItemType `json:"type"`
	Text      *string                          `json:"text,omitempty"`
	ImageURL  *ImageURL                        `json:"image_url,omitempty"`
	Role      *string                          `json:"role,omitempty"`
	DraftTask *DraftTask                       `json:"draft_task,omitempty"`
}

type CreateContentGenerationTaskRequest struct {
	Model                 string                                `json:"model"`
	Content               []*CreateContentGenerationContentItem `json:"content"`
	CallbackUrl           *string                               `json:"callback_url,omitempty"`
	ReturnLastFrame       *bool                                 `json:"return_last_frame,omitempty"`
	ServiceTier           *string                               `json:"service_tier,omitempty"`
	ExecutionExpiresAfter *int64                                `json:"execution_expires_after,omitempty"`
	GenerateAudio         *bool                                 `json:"generate_audio,omitempty"`
	Draft                 *bool                                 `json:"draft,omitempty"`
	CameraFixed           *bool                                 `json:"camera_fixed,omitempty"`
	Watermark             *bool                                 `json:"watermark,omitempty"`
	Seed                  *int64                                `json:"seed,omitempty"`
	Resolution            *string                               `json:"resolution,omitempty"`
	Ratio                 *string                               `json:"ratio,omitempty"`
	Duration              *int64                                `json:"duration,omitempty"`
	Frames                *int64                                `json:"frames,omitempty"`
	ExtraBody             `json:"-"`
}

type CreateContentGenerationTaskResponse struct {
	ID string `json:"id"`

	HttpHeader
}

type CreateContextRequest struct {
	Model              string                   `json:"model"`
	Mode               ContextMode              `json:"mode"`
	Messages           []*ChatCompletionMessage `json:"messages"`
	TTL                *int                     `json:"ttl,omitempty"`
	TruncationStrategy *TruncationStrategy      `json:"truncation_strategy,omitempty"`
}

type CreateContextResponse struct {
	ID                 string              `json:"id"`
	Mode               ContextMode         `json:"mode"`
	Model              string              `json:"model"`
	TTL                *int                `json:"ttl,omitempty"`
	TruncationStrategy *TruncationStrategy `json:"truncation_strategy,omitempty"`

	Usage Usage `json:"usage"`

	HttpHeader
}

type DeleteContentGenerationTaskRequest struct {
	ID string `json:"id"`
}

type DraftTask struct {
	ID string `json:"id"`
}

type Embedding struct {
	Object    string    `json:"object"`
	Embedding []float32 `json:"embedding"`
	Index     int       `json:"index"`
}

type EmbeddingEncodingFormat string

type EmbeddingRequest struct {
	Input          interface{}             `json:"input"`
	Model          string                  `json:"model"`
	User           string                  `json:"user"`
	EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"`
	// Dimensions The number of dimensions the resulting output embeddings should have.
	// Only supported in text-embedding-3 and later models.
	Dimensions int `json:"dimensions,omitempty"`
}

type EmbeddingRequestConverter interface {
	// Needs to be of type EmbeddingRequestStrings or EmbeddingRequestTokens
	Convert() EmbeddingRequest
}

type EmbeddingRequestStrings struct {
	// Input is a slice of strings for which you want to generate an Embedding vector.
	// Each input must not exceed 8192 tokens in length.
	// OpenAPI suggests replacing newlines (\n) in your input with a single space, as they
	// have observed inferior results when newlines are present.
	// E.g.
	//	"The food was delicious and the waiter..."
	Input []string `json:"input"`
	// ID of the model to use. You can use the List models API to see all of your available models,
	// or see our Model overview for descriptions of them.
	Model string `json:"model"`
	// A unique identifier representing your end-user, which will help to monitor and detect abuse.
	User string `json:"user"`
	// EmbeddingEncodingFormat is the format of the embeddings data.
	// Currently, only "float" and "base64" are supported, however, "base64" is not officially documented.
	// If not specified will use "float".
	EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"`
	// Dimensions The number of dimensions the resulting output embeddings should have.
	// Only supported in text-embedding-3 and later models.
	Dimensions int `json:"dimensions,omitempty"`
}

type EmbeddingRequestTokens struct {
	// Input is a slice of slices of ints ([][]int) for which you want to generate an Embedding vector.
	// Each input must not exceed 8192 tokens in length.
	// OpenAPI suggests replacing newlines (\n) in your input with a single space, as they
	// have observed inferior results when newlines are present.
	// E.g.
	//	"The food was delicious and the waiter..."
	Input [][]int `json:"input"`
	// ID of the model to use. You can use the List models API to see all of your available models,
	// or see our Model overview for descriptions of them.
	Model string `json:"model"`
	// A unique identifier representing your end-user, which will help to monitor and detect abuse.
	User string `json:"user"`
	// EmbeddingEncodingFormat is the format of the embeddings data.
	// Currently, only "float" and "base64" are supported, however, "base64" is not officially documented.
	// If not specified will use "float".
	EncodingFormat EmbeddingEncodingFormat `json:"encoding_format,omitempty"`
	// Dimensions The number of dimensions the resulting output embeddings should have.
	// Only supported in text-embedding-3 and later models.
	Dimensions int `json:"dimensions,omitempty"`
}

type EmbeddingResponse struct {
	ID      string      `json:"id"`
	Created int         `json:"created"`
	Object  string      `json:"object"`
	Data    []Embedding `json:"data"`
	Model   string      `json:"model"`
	Usage   Usage       `json:"usage"`

	HttpHeader
}

type EmbeddingResponseBase64 struct {
	Object string            `json:"object"`
	Data   []Base64Embedding `json:"data"`
	Model  string            `json:"model"`
	Usage  Usage             `json:"usage"`

	HttpHeader
}

type EncryptInfo struct {
	Version    string `thrift:"Version,1,optional" header:"Version" json:"Version,omitempty"`
	RingID     string `thrift:"RingID,2,optional" header:"RingID" json:"RingID,omitempty"`
	KeyID      string `thrift:"KeyID,3,optional" header:"KeyID" json:"KeyID,omitempty"`
	ExpireTime int64  `thrift:"ExpireTime,4,optional" header:"ExpireTime" json:"ExpireTime,omitempty"`
}

type ErrorResponse struct {
	Error *APIError `json:"error,omitempty"`
}

type ExtraBody map[string]interface{}

type FinishReason string

type FunctionCall struct {
	Name      string `json:"name,omitempty"`
	Arguments string `json:"arguments,omitempty"`
}

type FunctionDefinition struct {
	Name        string `json:"name"`
	Description string `json:"description,omitempty"`
	// Parameters is an object describing the function.
	// You can pass json.RawMessage to describe the schema,
	// or you can pass in a struct which serializes to the proper JSON schema.
	// The jsonschema package is provided for convenience, but you should
	// consider another specialized library if you require more complex schemas.
	Parameters interface{} `json:"parameters"`
}

type GenerateImagesError struct {
	Code    string `json:"code"`
	Message string `json:"message"`
}

type GenerateImagesRequest struct {
	Model                            string                            `json:"model"`
	Prompt                           string                            `json:"prompt"`
	Image                            interface{}                       `json:"image,omitempty"`
	ResponseFormat                   *string                           `json:"response_format,omitempty"`
	Seed                             *int64                            `json:"seed,omitempty"`
	GuidanceScale                    *float64                          `json:"guidance_scale,omitempty"`
	Size                             *string                           `json:"size,omitempty"`
	Watermark                        *bool                             `json:"watermark,omitempty"`
	OptimizePrompt                   *bool                             `json:"optimize_prompt,omitempty"`
	OptimizePromptOptions            *OptimizePromptOptions            `json:"optimize_prompt_options,omitempty"`
	SequentialImageGeneration        *SequentialImageGeneration        `json:"sequential_image_generation,omitempty"`
	SequentialImageGenerationOptions *SequentialImageGenerationOptions `json:"sequential_image_generation_options,omitempty"`
}

type GenerateImagesUsage struct {
	GeneratedImages int64 `json:"generated_images"`
	OutputTokens    int64 `json:"output_tokens"`
	TotalTokens     int64 `json:"total_tokens"`
}

type GetContentGenerationTaskRequest struct {
	ID string `json:"id"`
}

type GetContentGenerationTaskResponse struct {
	ID                    string                  `json:"id"`
	Model                 string                  `json:"model"`
	Status                string                  `json:"status"`
	Error                 *ContentGenerationError `json:"error,omitempty"`
	Content               Content                 `json:"content"`
	Usage                 Usage                   `json:"usage"`
	SubdivisionLevel      *string                 `json:"subdivisionlevel,omitempty"`
	FileFormat            *string                 `json:"fileformat,omitempty"`
	Frames                *int64                  `json:"frames"`
	FramesPerSecond       *int64                  `json:"framespersecond"`
	Resolution            *string                 `json:"resolution,omitempty"`
	Ratio                 *string                 `json:"ratio,omitempty"`
	Duration              *int64                  `json:"duration,omitempty"`
	CreatedAt             int64                   `json:"created_at"`
	UpdatedAt             int64                   `json:"updated_at"`
	Seed                  *int64                  `json:"seed,omitempty"`
	RevisedPrompt         *string                 `json:"revised_prompt,omitempty"`
	ServiceTier           *string                 `json:"service_tier,omitempty"`
	ExecutionExpiresAfter *int64                  `json:"execution_expires_after,omitempty"`
	GenerateAudio         *bool                   `json:"generate_audio,omitempty"`
	Draft                 *bool                   `json:"draft,omitempty"`
	DraftTaskID           *string                 `json:"draft_task_id,omitempty"`

	HttpHeader
}

type HttpHeader http.Header

type Image struct {
	Url     *string `json:"url,omitempty"`
	B64Json *string `json:"b64_json,omitempty"`
	Size    string  `json:"size"`
}

type ImageURL struct {
	URL string `json:"url"`
}

type ImageURLDetail string

type ImagesResponse struct {
	Model   string               `json:"model"`
	Created int64                `json:"created"`
	Data    []*Image             `json:"data"`
	Usage   *GenerateImagesUsage `json:"usage,omitempty"`
	Error   *GenerateImagesError `json:"error,omitempty"`

	HttpHeader
}

type ImagesStreamResponse struct {
	Type       string               `json:"type"`
	Model      string               `json:"model"`
	Created    int64                `json:"created"`
	ImageIndex int64                `json:"image_index"`
	Url        *string              `json:"url,omitempty"`
	B64Json    *string              `json:"b64_json,omitempty"`
	Size       string               `json:"size"`
	Usage      *GenerateImagesUsage `json:"usage,omitempty"`
	Error      *GenerateImagesError `json:"error,omitempty"`

	HttpHeader
}

type ListContentGenerationTaskItem struct {
	ID                    string                  `json:"id"`
	Model                 string                  `json:"model"`
	Status                string                  `json:"status"`
	FailureReason         *ContentGenerationError `json:"failure_reason,omitempty"`
	Content               Content                 `json:"content"`
	Usage                 Usage                   `json:"usage"`
	SubdivisionLevel      *string                 `json:"subdivisionlevel,omitempty"`
	FileFormat            *string                 `json:"fileformat,omitempty"`
	Frames                *int64                  `json:"frames"`
	FramesPerSecond       *int64                  `json:"framespersecond"`
	CreatedAt             int64                   `json:"created_at"`
	UpdatedAt             int64                   `json:"updated_at"`
	Seed                  *int64                  `json:"seed,omitempty"`
	RevisedPrompt         *string                 `json:"revised_prompt,omitempty"`
	ServiceTier           *string                 `json:"service_tier,omitempty"`
	ExecutionExpiresAfter *int64                  `json:"execution_expires_after,omitempty"`
	GenerateAudio         *bool                   `json:"generate_audio,omitempty"`
	Draft                 *bool                   `json:"draft,omitempty"`
	DraftTaskID           *string                 `json:"draft_task_id,omitempty"`
}

type ListContentGenerationTasksFilter struct {
	Status      *string   `json:"status,omitempty"`
	TaskIDs     []*string `json:"task_ids,omitempty"`
	Model       *string   `json:"model,omitempty"`
	ServiceTier *string   `json:"service_tier,omitempty"`
}

type ListContentGenerationTasksRequest struct {
	PageNum  *int                              `json:"page_num,omitempty"`
	PageSize *int                              `json:"page_size,omitempty"`
	Filter   *ListContentGenerationTasksFilter `json:"filter,omitempty"`
}

type ListContentGenerationTasksResponse struct {
	Total int64                           `json:"total"`
	Items []ListContentGenerationTaskItem `json:"items"`
	HttpHeader
}

type LogProb struct {
	Token   string  `json:"token"`
	LogProb float64 `json:"logprob"`
	Bytes   []rune  `json:"bytes,omitempty"` // Omitting the field if it is null
	// TopLogProbs is a 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.
	TopLogProbs []*TopLogProbs `json:"top_logprobs"`
}

type LogProbs struct {
	// Content is a list of message content tokens with log probability information.
	Content []*LogProb `json:"content"`
}

type MultiModalEmbeddingInputType string

type MultiModalEmbeddingRequest struct {
	Input []MultimodalEmbeddingInput `json:"input"`
	// ID of the model to use. You can use the List models API to see all of your available models,
	// or see our Model overview for descriptions of them.
	Model string `json:"model"`
	// EmbeddingEncodingFormat is the format of the embeddings data.
	// Currently, only "float" and "base64" are supported, however, "base64" is not officially documented.
	// If not specified will use "float".
	EncodingFormat *EmbeddingEncodingFormat `json:"encoding_format,omitempty"`
	// Dimensions Value range: 1024 or 2048.
	// Specifies the dimensionality of the output embedding vector.
	// This parameter is only supported in doubao-embedding-vision-250615 and later versions.
	Dimensions *int `json:"dimensions,omitempty"`

	// SparseEmbedding stands for whether to return sparse embedding.
	SparseEmbedding *SparseEmbeddingInput `json:"sparse_embedding,omitempty"`
}

type MultiModalEmbeddingResponseBase64 struct {
	Id      string                   `json:"id"`
	Model   string                   `json:"model"`
	Created int64                    `json:"created"`
	Object  string                   `json:"object"`
	Data    Base64Embedding          `json:"data"`
	Usage   MultimodalEmbeddingUsage `json:"usage"`

	HttpHeader
}

type MultimodalEmbedding struct {
	Embedding       []float32          `json:"embedding"`
	SparseEmbedding *[]SparseEmbedding `json:"sparse_embedding,omitempty"`
	Object          string             `json:"object"`
}

type MultimodalEmbeddingImageURL struct {
	URL string `json:"url"`
}

type MultimodalEmbeddingInput struct {
	Type     MultiModalEmbeddingInputType `json:"type"`
	Text     *string                      `json:"text,omitempty"`
	ImageURL *MultimodalEmbeddingImageURL `json:"image_url,omitempty"`
	VideoURL *MultimodalEmbeddingVideoURL `json:"video_url,omitempty"`
}

type MultimodalEmbeddingPromptTokensDetail struct {
	TextTokens  int `json:"text_tokens"`
	ImageTokens int `json:"image_tokens"`
}

type MultimodalEmbeddingResponse struct {
	Id      string                   `json:"id"`
	Model   string                   `json:"model"`
	Created int64                    `json:"created"`
	Object  string                   `json:"object"`
	Data    MultimodalEmbedding      `json:"data"`
	Usage   MultimodalEmbeddingUsage `json:"usage"`

	HttpHeader
}

type MultimodalEmbeddingUsage struct {
	PromptTokens        int                                   `json:"prompt_tokens"`
	TotalTokens         int                                   `json:"total_tokens"`
	PromptTokensDetails MultimodalEmbeddingPromptTokensDetail `json:"prompt_tokens_details"`
}

type MultimodalEmbeddingVideoURL struct {
	URL string   `json:"url"`
	FPS *float64 `json:"fps,omitempty"`
}

type OptimizePromptMode string

type OptimizePromptOptions struct {
	Thinking *OptimizePromptThinking `json:"thinking,omitempty"`
	Mode     *OptimizePromptMode     `json:"mode,omitempty"`
}

type OptimizePromptThinking string

type PromptTokensDetail struct {
	CachedTokens      int  `json:"cached_tokens"`
	ProvisionedTokens *int `json:"provisioned_tokens,omitempty"`
}

type RawResponse struct {
	io.ReadCloser

	HttpHeader
}

type ReasoningEffort string

type RequestError struct {
	HTTPStatusCode int
	Err            error
	RequestId      string `json:"request_id"`
}

type Response interface {
	SetHeader(http.Header)
	GetHeader() http.Header
}

type ResponseFormat struct {
	Type       ResponseFormatType                       `json:"type"`
	JSONSchema *ResponseFormatJSONSchemaJSONSchemaParam `json:"json_schema,omitempty"`
	// Deprecated: use `JSONSchema` instead.
	Schema interface{} `json:"schema,omitempty"`
}

type ResponseFormatJSONSchemaJSONSchemaParam struct {
	// 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.
	Name string `json:"name"`
	// A description of what the response format is for, used by the model to determine
	// how to respond in the format.
	Description string `json:"description"`
	// The schema for the response format, described as a JSON Schema object.
	Schema interface{} `json:"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`.
	Strict bool `json:"strict"`
}

type ResponseFormatType string

type SequentialImageGeneration string

type SequentialImageGenerationOptions struct {
	MaxImages *int `json:"max_images,omitempty"`
}

type SparseEmbedding struct {
	Index int     `json:"index"`
	Value float64 `json:"value"`
}

type SparseEmbeddingInput struct {
	Type SparseEmbeddingInputType `json:"type"`
}

type SparseEmbeddingInputType string

type StreamOptions struct {
	// 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.
	// All other chunks will also include a usage field, but with a null value.
	IncludeUsage bool `json:"include_usage,omitempty"`
	// if set, each data chunk will include a `usage` field
	// representing the current cumulative token usage for the entire request.
	ChunkIncludeUsage bool `json:"chunk_include_usage,omitempty"`
}

type Thinking struct {
	Type ThinkingType `json:"type"`
}

type ThinkingType string

type Tokenization struct {
	Index         int     `json:"index"`
	Object        string  `json:"object"`
	TotalTokens   int     `json:"total_tokens"`
	TokenIDs      []int   `json:"token_ids"`
	OffsetMapping [][]int `json:"offset_mapping"`
}

type TokenizationRequest struct {
	Text  interface{} `json:"text"`
	Model string      `json:"model"`
	User  string      `json:"user"`
}

type TokenizationRequestConverter interface {
	Convert() TokenizationRequest
}

type TokenizationRequestString struct {
	Text  string `json:"text"`
	Model string `json:"model"`
	User  string `json:"user"`
}

type TokenizationRequestStrings struct {
	Text  []string `json:"text"`
	Model string   `json:"model"`
	User  string   `json:"user"`
}

type TokenizationResponse struct {
	ID      string          `json:"id"`
	Created int             `json:"created"`
	Model   string          `json:"model"`
	Object  string          `json:"object"`
	Data    []*Tokenization `json:"data"`

	HttpHeader
}

type Tool struct {
	Type     ToolType            `json:"type"`
	Function *FunctionDefinition `json:"function,omitempty"`
}

type ToolCall struct {
	ID       string       `json:"id"`
	Type     ToolType     `json:"type"`
	Function FunctionCall `json:"function"`
	Index    *int         `json:"index,omitempty"`
}

type ToolChoice struct {
	Type     ToolType           `json:"type"`
	Function ToolChoiceFunction `json:"function,omitempty"`
}

type ToolChoiceFunction struct {
	Name string `json:"name"`
}

type ToolType string

type TopLogProbs struct {
	Token   string  `json:"token"`
	LogProb float64 `json:"logprob"`
	Bytes   []rune  `json:"bytes,omitempty"`
}

type TruncationStrategy struct {
	Type                TruncationStrategyType `json:"type"`
	LastHistoryTokens   *int                   `json:"last_history_tokens,omitempty"`
	RollingTokens       *bool                  `json:"rolling_tokens,omitempty"`
	MaxWindowTokens     *int                   `json:"max_window_tokens,omitempty"`
	RollingWindowTokens *int                   `json:"rolling_window_tokens,omitempty"`
}

type TruncationStrategyType string

type Usage struct {
	PromptTokens            int                     `json:"prompt_tokens"`
	CompletionTokens        int                     `json:"completion_tokens"`
	TotalTokens             int                     `json:"total_tokens"`
	PromptTokensDetails     PromptTokensDetail      `json:"prompt_tokens_details"`
	CompletionTokensDetails CompletionTokensDetails `json:"completion_tokens_details"`
}