openai

type AssistantFileObject struct {
	// AssistantId The assistant ID that the file is attached to.
	AssistantId string `json:"assistant_id"`

	// CreatedAt The Unix timestamp (in seconds) for when the assistant file was created.
	CreatedAt int `json:"created_at"`

	// Id The identifier, which can be referenced in API endpoints.
	Id string `json:"id"`

	// Object The object type, which is always `assistant.file`.
	Object AssistantFileObjectObject `json:"object"`
}

type AssistantFileObjectObject string

type AssistantObject struct {
	// CreatedAt The Unix timestamp (in seconds) for when the assistant was created.
	CreatedAt int `json:"created_at"`

	// Description The description of the assistant. The maximum length is 512 characters.
	Description *string `json:"description"`

	// FileIds A list of [file](/docs/api-reference/files) IDs attached to this assistant. There can be a maximum of 20 files attached to the assistant. Files are ordered by their creation date in ascending order.
	FileIds []string `json:"file_ids"`

	// Id The identifier, which can be referenced in API endpoints.
	Id string `json:"id"`

	// Instructions The system instructions that the assistant uses. The maximum length is 32768 characters.
	Instructions *string `json:"instructions"`

	// Metadata Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
	Metadata *map[string]interface{} `json:"metadata"`

	// Model ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
	Model string `json:"model"`

	// Name The name of the assistant. The maximum length is 256 characters.
	Name *string `json:"name"`

	// Object The object type, which is always `assistant`.
	Object AssistantObjectObject `json:"object"`

	// Tools A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `retrieval`, `function`, or `gptscript`.
	Tools []AssistantObject_Tools_Item `json:"tools"`
}

type AssistantObjectObject string

type AssistantObject_Tools_Item struct {
	// contains filtered or unexported fields
}

type AssistantStreamEvent struct {
	// contains filtered or unexported fields
}

type AssistantToolsCode struct {
	// Type The type of tool being defined: `code_interpreter`
	Type AssistantToolsCodeType `json:"type"`
}

type AssistantToolsCodeType string

type AssistantToolsFunction struct {
	Function FunctionObject `json:"function"`

	// Type The type of tool being defined: `function`
	Type AssistantToolsFunctionType `json:"type"`
}

type AssistantToolsFunctionType string

type AssistantToolsRetrieval struct {
	// Type The type of tool being defined: `retrieval`
	Type AssistantToolsRetrievalType `json:"type"`
}

type AssistantToolsRetrievalType string

type ChatCompletionFunctionCallOption struct {
	// Name The name of the function to call.
	Name string `json:"name"`
}

type ChatCompletionFunctions struct {
	// Description A description of what the function does, used by the model to choose when and how to call the function.
	Description *string `json:"description,omitempty"`

	// Name The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
	Name string `json:"name"`

	// Parameters The parameters the functions accepts, described as a JSON Schema object. See the [guide](/docs/guides/text-generation/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format.
	//
	// Omitting `parameters` defines a function with an empty parameter list.
	Parameters *FunctionParameters `json:"parameters"`
}

type ChatCompletionMessageToolCall struct {
	// Function The function that the model called.
	Function struct {
		// Arguments The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
		Arguments string `json:"arguments"`

		// Name The name of the function to call.
		Name string `json:"name"`
	} `json:"function"`

	// Id The ID of the tool call.
	Id string `json:"id"`

	// Type The type of the tool. Currently, only `function` is supported.
	Type ChatCompletionMessageToolCallType `json:"type"`
}

type ChatCompletionMessageToolCallChunk struct {
	Function *struct {
		// Arguments The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
		Arguments *string `json:"arguments,omitempty"`

		// Name The name of the function to call.
		Name *string `json:"name,omitempty"`
	} `json:"function,omitempty"`

	// Id The ID of the tool call.
	Id    *string `json:"id,omitempty"`
	Index int     `json:"index"`

	// Type The type of the tool. Currently, only `function` is supported.
	Type *ChatCompletionMessageToolCallChunkType `json:"type,omitempty"`
}

type ChatCompletionMessageToolCallChunkType string

type ChatCompletionMessageToolCallType string

type ChatCompletionMessageToolCalls = []ChatCompletionMessageToolCall

type ChatCompletionNamedToolChoice struct {
	Function struct {
		// Name The name of the function to call.
		Name string `json:"name"`
	} `json:"function"`

	// Type The type of the tool. Currently, only `function` is supported.
	Type ChatCompletionNamedToolChoiceType `json:"type"`
}

type ChatCompletionNamedToolChoiceType string

type ChatCompletionRequestAssistantMessage struct {
	// Content The contents of the assistant message. Required unless `tool_calls` or `function_call` is specified.
	Content *string `json:"content"`

	// FunctionCall Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model.
	// Deprecated:
	FunctionCall *struct {
		// Arguments The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
		Arguments string `json:"arguments"`

		// Name The name of the function to call.
		Name string `json:"name"`
	} `json:"function_call,omitempty"`

	// Name An optional name for the participant. Provides the model information to differentiate between participants of the same role.
	Name *string `json:"name,omitempty"`

	// Role The role of the messages author, in this case `assistant`.
	Role ChatCompletionRequestAssistantMessageRole `json:"role"`

	// ToolCalls The tool calls generated by the model, such as function calls.
	ToolCalls *ChatCompletionMessageToolCalls `json:"tool_calls,omitempty"`
}

type ChatCompletionRequestAssistantMessageRole string

type ChatCompletionRequestFunctionMessage struct {
	// Content The contents of the function message.
	Content *string `json:"content"`

	// Name The name of the function to call.
	Name string `json:"name"`

	// Role The role of the messages author, in this case `function`.
	Role ChatCompletionRequestFunctionMessageRole `json:"role"`
}

type ChatCompletionRequestFunctionMessageRole string

type ChatCompletionRequestMessage struct {
	// contains filtered or unexported fields
}

type ChatCompletionRequestMessageContentPart struct {
	// contains filtered or unexported fields
}

type ChatCompletionRequestMessageContentPartImage struct {
	ImageUrl struct {
		// Detail Specifies the detail level of the image. Learn more in the [Vision guide](/docs/guides/vision/low-or-high-fidelity-image-understanding).
		Detail *ChatCompletionRequestMessageContentPartImageImageUrlDetail `json:"detail,omitempty"`

		// Url Either a URL of the image or the base64 encoded image data.
		Url string `json:"url"`
	} `json:"image_url"`

	// Type The type of the content part.
	Type ChatCompletionRequestMessageContentPartImageType `json:"type"`
}

type ChatCompletionRequestMessageContentPartImageImageUrlDetail string

type ChatCompletionRequestMessageContentPartImageType string

type ChatCompletionRequestMessageContentPartText struct {
	// Text The text content.
	Text string `json:"text"`

	// Type The type of the content part.
	Type ChatCompletionRequestMessageContentPartTextType `json:"type"`
}

type ChatCompletionRequestMessageContentPartTextType string

type ChatCompletionRequestSystemMessage struct {
	// Content The contents of the system message.
	Content string `json:"content"`

	// Name An optional name for the participant. Provides the model information to differentiate between participants of the same role.
	Name *string `json:"name,omitempty"`

	// Role The role of the messages author, in this case `system`.
	Role ChatCompletionRequestSystemMessageRole `json:"role"`
}

type ChatCompletionRequestSystemMessageRole string

type ChatCompletionRequestToolMessage struct {
	// Content The contents of the tool message.
	Content string `json:"content"`

	// Role The role of the messages author, in this case `tool`.
	Role ChatCompletionRequestToolMessageRole `json:"role"`

	// ToolCallId Tool call that this message is responding to.
	ToolCallId string `json:"tool_call_id"`
}

type ChatCompletionRequestToolMessageRole string

type ChatCompletionRequestUserMessage struct {
	// Content The contents of the user message.
	Content ChatCompletionRequestUserMessage_Content `json:"content"`

	// Name An optional name for the participant. Provides the model information to differentiate between participants of the same role.
	Name *string `json:"name,omitempty"`

	// Role The role of the messages author, in this case `user`.
	Role ChatCompletionRequestUserMessageRole `json:"role"`
}

type ChatCompletionRequestUserMessageContent0 = string

type ChatCompletionRequestUserMessageContent1 = []ChatCompletionRequestMessageContentPart

type ChatCompletionRequestUserMessageRole string

type ChatCompletionRequestUserMessage_Content struct {
	// contains filtered or unexported fields
}

type ChatCompletionResponseMessage struct {
	// Content The contents of the message.
	Content *string `json:"content"`

	// FunctionCall Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model.
	// Deprecated:
	FunctionCall *struct {
		// Arguments The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
		Arguments string `json:"arguments"`

		// Name The name of the function to call.
		Name string `json:"name"`
	} `json:"function_call,omitempty"`

	// Role The role of the author of this message.
	Role ChatCompletionResponseMessageRole `json:"role"`

	// ToolCalls The tool calls generated by the model, such as function calls.
	ToolCalls *ChatCompletionMessageToolCalls `json:"tool_calls,omitempty"`
}

type ChatCompletionResponseMessageRole string

type ChatCompletionRole string

type ChatCompletionStreamResponseDelta struct {
	// Content The contents of the chunk message.
	Content *string `json:"content"`

	// FunctionCall Deprecated and replaced by `tool_calls`. The name and arguments of a function that should be called, as generated by the model.
	// Deprecated:
	FunctionCall *struct {
		// Arguments The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
		Arguments *string `json:"arguments,omitempty"`

		// Name The name of the function to call.
		Name *string `json:"name,omitempty"`
	} `json:"function_call,omitempty"`

	// Role The role of the author of this message.
	Role      *ChatCompletionStreamResponseDeltaRole `json:"role,omitempty"`
	ToolCalls *[]ChatCompletionMessageToolCallChunk  `json:"tool_calls,omitempty"`
}

type ChatCompletionStreamResponseDeltaRole string

type ChatCompletionTokenLogprob struct {
	// Bytes A list of integers representing the UTF-8 bytes representation of the token. Useful in instances where characters are represented by multiple tokens and their byte representations must be combined to generate the correct text representation. Can be `null` if there is no bytes representation for the token.
	Bytes *[]int `json:"bytes"`

	// Logprob The log probability of this token, if it is within the top 20 most likely tokens. Otherwise, the value `-9999.0` is used to signify that the token is very unlikely.
	Logprob float32 `json:"logprob"`

	// Token The token.
	Token string `json:"token"`

	// TopLogprobs 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 []struct {
		// Bytes A list of integers representing the UTF-8 bytes representation of the token. Useful in instances where characters are represented by multiple tokens and their byte representations must be combined to generate the correct text representation. Can be `null` if there is no bytes representation for the token.
		Bytes *[]int `json:"bytes"`

		// Logprob The log probability of this token, if it is within the top 20 most likely tokens. Otherwise, the value `-9999.0` is used to signify that the token is very unlikely.
		Logprob float32 `json:"logprob"`

		// Token The token.
		Token string `json:"token"`
	} `json:"top_logprobs"`
}

type ChatCompletionTool struct {
	Function FunctionObject `json:"function"`

	// Type The type of the tool. Currently, only `function` is supported.
	Type ChatCompletionToolType `json:"type"`
}

type ChatCompletionToolChoiceOption struct {
	// contains filtered or unexported fields
}

type ChatCompletionToolChoiceOption0 string

type ChatCompletionToolType string

type CompletionUsage struct {
	// CompletionTokens Number of tokens in the generated completion.
	CompletionTokens int `json:"completion_tokens"`

	// PromptTokens Number of tokens in the prompt.
	PromptTokens int `json:"prompt_tokens"`

	// TotalTokens Total number of tokens used in the request (prompt + completion).
	TotalTokens int `json:"total_tokens"`
}

type CreateAssistantFileJSONRequestBody = CreateAssistantFileRequest

type CreateAssistantFileRequest struct {
	// FileId A [File](/docs/api-reference/files) ID (with `purpose="assistants"`) that the assistant should use. Useful for tools like `retrieval` and `code_interpreter` that can access files.
	FileId string `json:"file_id"`
}

type CreateAssistantJSONRequestBody = CreateAssistantRequest

type CreateAssistantRequest struct {
	// Description The description of the assistant. The maximum length is 512 characters.
	Description *string `json:"description"`

	// FileIds A list of [file](/docs/api-reference/files) IDs attached to this assistant. There can be a maximum of 20 files attached to the assistant. Files are ordered by their creation date in ascending order.
	FileIds *[]string `json:"file_ids,omitempty"`

	// Instructions The system instructions that the assistant uses. The maximum length is 32768 characters.
	Instructions *string `json:"instructions"`

	// Metadata Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
	Metadata *map[string]interface{} `json:"metadata"`

	// Model ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
	Model CreateAssistantRequest_Model `json:"model"`

	// Name The name of the assistant. The maximum length is 256 characters.
	Name *string `json:"name"`

	// Tools A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `retrieval`, `function`, or `gptscript`.
	Tools *[]CreateAssistantRequest_Tools_Item `json:"tools,omitempty"`
}

type CreateAssistantRequestModel0 = string

type CreateAssistantRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateAssistantRequest_Tools_Item struct {
	// contains filtered or unexported fields
}

type CreateChatCompletionFunctionResponse struct {
	// Choices A list of chat completion choices. Can be more than one if `n` is greater than 1.
	Choices []struct {
		// FinishReason The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence, `length` if the maximum number of tokens specified in the request was reached, `content_filter` if content was omitted due to a flag from our content filters, or `function_call` if the model called a function.
		FinishReason CreateChatCompletionFunctionResponseChoicesFinishReason `json:"finish_reason"`

		// Index The index of the choice in the list of choices.
		Index int `json:"index"`

		// Message A chat completion message generated by the model.
		Message ChatCompletionResponseMessage `json:"message"`
	} `json:"choices"`

	// Created The Unix timestamp (in seconds) of when the chat completion was created.
	Created int `json:"created"`

	// Id A unique identifier for the chat completion.
	Id string `json:"id"`

	// Model The model used for the chat completion.
	Model string `json:"model"`

	// Object The object type, which is always `chat.completion`.
	Object CreateChatCompletionFunctionResponseObject `json:"object"`

	// SystemFingerprint This fingerprint represents the backend configuration that the model runs with.
	//
	// Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
	SystemFingerprint *string `json:"system_fingerprint,omitempty"`

	// Usage Usage statistics for the completion request.
	Usage *CompletionUsage `json:"usage,omitempty"`
}

type CreateChatCompletionFunctionResponseChoicesFinishReason string

type CreateChatCompletionFunctionResponseObject string

type CreateChatCompletionImageResponse = map[string]interface{}

type CreateChatCompletionJSONRequestBody = CreateChatCompletionRequest

type CreateChatCompletionRequest struct {
	// FrequencyPenalty Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
	//
	// [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details)
	FrequencyPenalty *float32 `json:"frequency_penalty"`

	// FunctionCall Deprecated in favor of `tool_choice`.
	//
	// Controls which (if any) function is called by the model.
	// `none` means the model will not call a function and instead generates a message.
	// `auto` means the model can pick between generating a message or calling a function.
	// Specifying a particular function via `{"name": "my_function"}` forces the model to call that function.
	//
	// `none` is the default when no functions are present. `auto` is the default if functions are present.
	// Deprecated:
	FunctionCall *CreateChatCompletionRequest_FunctionCall `json:"function_call,omitempty"`

	// Functions Deprecated in favor of `tools`.
	//
	// A list of functions the model may generate JSON inputs for.
	// Deprecated:
	Functions *[]ChatCompletionFunctions `json:"functions,omitempty"`

	// LogitBias 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.
	LogitBias *map[string]int `json:"logit_bias"`

	// Logprobs Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`. This option is currently not available on the `gpt-4-vision-preview` model.
	Logprobs *bool `json:"logprobs"`

	// MaxTokens The maximum number of [tokens](/tokenizer) that can be generated in the chat completion.
	//
	// The total length of input tokens and generated tokens is limited by the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
	MaxTokens *int `json:"max_tokens"`

	// Messages A list of messages comprising the conversation so far. [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models).
	Messages []ChatCompletionRequestMessage `json:"messages"`

	// Model ID of the model to use. See the [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table for details on which models work with the Chat API.
	Model CreateChatCompletionRequest_Model `json:"model"`

	// N How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs.
	N *int `json:"n"`

	// PresencePenalty Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
	//
	// [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details)
	PresencePenalty *float32 `json:"presence_penalty"`

	// ResponseFormat An object specifying the format that the model must output. Compatible with [GPT-4 Turbo](/docs/models/gpt-4-and-gpt-4-turbo) and all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
	//
	// Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the message the model generates is valid JSON.
	//
	// **Important:** when using JSON mode, you **must** also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if `finish_reason="length"`, which indicates the generation exceeded `max_tokens` or the conversation exceeded the max context length.
	ResponseFormat *struct {
		// Type Must be one of `text` or `json_object`.
		Type *CreateChatCompletionRequestResponseFormatType `json:"type,omitempty"`
	} `json:"response_format,omitempty"`

	// Seed This feature is in Beta.
	// If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.
	// Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.
	Seed *int `json:"seed"`

	// Stop Up to 4 sequences where the API will stop generating further tokens.
	Stop *CreateChatCompletionRequest_Stop `json:"stop,omitempty"`

	// Stream If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
	Stream *bool `json:"stream"`

	// Temperature What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
	//
	// We generally recommend altering this or `top_p` but not both.
	Temperature *float32 `json:"temperature"`

	// ToolChoice Controls which (if any) function is called by the model.
	// `none` means the model will not call a function and instead generates a message.
	// `auto` means the model can pick between generating a message or calling a function.
	// Specifying a particular function via `{"type": "function", "function": {"name": "my_function"}}` forces the model to call that function.
	//
	// `none` is the default when no functions are present. `auto` is the default if functions are present.
	ToolChoice *ChatCompletionToolChoiceOption `json:"tool_choice,omitempty"`

	// Tools A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.
	Tools *[]ChatCompletionTool `json:"tools"`

	// TopLogprobs 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.
	TopLogprobs *int `json:"top_logprobs"`

	// TopP An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
	//
	// We generally recommend altering this or `temperature` but not both.
	TopP *float32 `json:"top_p"`

	// User A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
	User *string `json:"user,omitempty"`
}

type CreateChatCompletionRequestFunctionCall0 string

type CreateChatCompletionRequestModel0 = string

type CreateChatCompletionRequestModel1 string

type CreateChatCompletionRequestResponseFormatType string

type CreateChatCompletionRequestStop0 = string

type CreateChatCompletionRequestStop1 = []string

type CreateChatCompletionRequest_FunctionCall struct {
	// contains filtered or unexported fields
}

type CreateChatCompletionRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateChatCompletionRequest_Stop struct {
	// contains filtered or unexported fields
}

type CreateChatCompletionResponse struct {
	// Choices A list of chat completion choices. Can be more than one if `n` is greater than 1.
	Choices []struct {
		// FinishReason The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
		// `length` if the maximum number of tokens specified in the request was reached,
		// `content_filter` if content was omitted due to a flag from our content filters,
		// `tool_calls` if the model called a tool, or `function_call` (deprecated) if the model called a function.
		FinishReason CreateChatCompletionResponseChoicesFinishReason `json:"finish_reason"`

		// Index The index of the choice in the list of choices.
		Index int `json:"index"`

		// Logprobs Log probability information for the choice.
		Logprobs *struct {
			// Content A list of message content tokens with log probability information.
			Content *[]ChatCompletionTokenLogprob `json:"content"`
		} `json:"logprobs"`

		// Message A chat completion message generated by the model.
		Message ChatCompletionResponseMessage `json:"message"`
	} `json:"choices"`

	// Created The Unix timestamp (in seconds) of when the chat completion was created.
	Created int `json:"created"`

	// Id A unique identifier for the chat completion.
	Id string `json:"id"`

	// Model The model used for the chat completion.
	Model string `json:"model"`

	// Object The object type, which is always `chat.completion`.
	Object CreateChatCompletionResponseObject `json:"object"`

	// SystemFingerprint This fingerprint represents the backend configuration that the model runs with.
	//
	// Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
	SystemFingerprint *string `json:"system_fingerprint,omitempty"`

	// Usage Usage statistics for the completion request.
	Usage *CompletionUsage `json:"usage,omitempty"`
}

type CreateChatCompletionResponseChoicesFinishReason string

type CreateChatCompletionResponseObject string

type CreateChatCompletionStreamResponse struct {
	// Choices A list of chat completion choices. Can be more than one if `n` is greater than 1.
	Choices []struct {
		// Delta A chat completion delta generated by streamed model responses.
		Delta ChatCompletionStreamResponseDelta `json:"delta"`

		// FinishReason The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
		// `length` if the maximum number of tokens specified in the request was reached,
		// `content_filter` if content was omitted due to a flag from our content filters,
		// `tool_calls` if the model called a tool, or `function_call` (deprecated) if the model called a function.
		FinishReason *CreateChatCompletionStreamResponseChoicesFinishReason `json:"finish_reason"`

		// Index The index of the choice in the list of choices.
		Index int `json:"index"`

		// Logprobs Log probability information for the choice.
		Logprobs *struct {
			// Content A list of message content tokens with log probability information.
			Content *[]ChatCompletionTokenLogprob `json:"content"`
		} `json:"logprobs"`
	} `json:"choices"`

	// Created The Unix timestamp (in seconds) of when the chat completion was created. Each chunk has the same timestamp.
	Created int `json:"created"`

	// Id A unique identifier for the chat completion. Each chunk has the same ID.
	Id string `json:"id"`

	// Model The model to generate the completion.
	Model string `json:"model"`

	// Object The object type, which is always `chat.completion.chunk`.
	Object CreateChatCompletionStreamResponseObject `json:"object"`

	// SystemFingerprint This fingerprint represents the backend configuration that the model runs with.
	// Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
	SystemFingerprint *string `json:"system_fingerprint,omitempty"`
}

type CreateChatCompletionStreamResponseChoicesFinishReason string

type CreateChatCompletionStreamResponseObject string

type CreateCompletionJSONRequestBody = CreateCompletionRequest

type CreateCompletionRequest struct {
	// BestOf Generates `best_of` completions server-side and returns the "best" (the one with the highest log probability per token). Results cannot be streamed.
	//
	// When used with `n`, `best_of` controls the number of candidate completions and `n` specifies how many to return – `best_of` must be greater than `n`.
	//
	// **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
	BestOf *int `json:"best_of"`

	// Echo Echo back the prompt in addition to the completion
	Echo *bool `json:"echo"`

	// FrequencyPenalty Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
	//
	// [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details)
	FrequencyPenalty *float32 `json:"frequency_penalty"`

	// LogitBias Modify the likelihood of specified tokens appearing in the completion.
	//
	// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an associated bias value from -100 to 100. You can use this [tokenizer tool](/tokenizer?view=bpe) to convert text to token IDs. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
	//
	// As an example, you can pass `{"50256": -100}` to prevent the <|endoftext|> token from being generated.
	LogitBias *map[string]int `json:"logit_bias"`

	// Logprobs Include the log probabilities on the `logprobs` most likely output tokens, as well the chosen tokens. For example, if `logprobs` is 5, the API will return a list of the 5 most likely tokens. The API will always return the `logprob` of the sampled token, so there may be up to `logprobs+1` elements in the response.
	//
	// The maximum value for `logprobs` is 5.
	Logprobs *int `json:"logprobs"`

	// MaxTokens The maximum number of [tokens](/tokenizer) that can be generated in the completion.
	//
	// The token count of your prompt plus `max_tokens` cannot exceed the model's context length. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
	MaxTokens *int `json:"max_tokens"`

	// Model ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
	Model CreateCompletionRequest_Model `json:"model"`

	// N How many completions to generate for each prompt.
	//
	// **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
	N *int `json:"n"`

	// PresencePenalty Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
	//
	// [See more information about frequency and presence penalties.](/docs/guides/text-generation/parameter-details)
	PresencePenalty *float32 `json:"presence_penalty"`

	// Prompt The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays.
	//
	// Note that <|endoftext|> is the document separator that the model sees during training, so if a prompt is not specified the model will generate as if from the beginning of a new document.
	Prompt *CreateCompletionRequest_Prompt `json:"prompt"`

	// Seed If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.
	//
	// Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.
	Seed *int `json:"seed"`

	// Stop Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
	Stop *CreateCompletionRequest_Stop `json:"stop"`

	// Stream Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
	Stream *bool `json:"stream"`

	// Suffix The suffix that comes after a completion of inserted text.
	//
	// This parameter is only supported for `gpt-3.5-turbo-instruct`.
	Suffix *string `json:"suffix"`

	// Temperature What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
	//
	// We generally recommend altering this or `top_p` but not both.
	Temperature *float32 `json:"temperature"`

	// TopP An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
	//
	// We generally recommend altering this or `temperature` but not both.
	TopP *float32 `json:"top_p"`

	// User A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
	User *string `json:"user,omitempty"`
}

type CreateCompletionRequestModel0 = string

type CreateCompletionRequestModel1 string

type CreateCompletionRequestPrompt0 = string

type CreateCompletionRequestPrompt1 = []string

type CreateCompletionRequestPrompt2 = []int

type CreateCompletionRequestPrompt3 = [][]int

type CreateCompletionRequestStop0 = string

type CreateCompletionRequestStop1 = []string

type CreateCompletionRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateCompletionRequest_Prompt struct {
	// contains filtered or unexported fields
}

type CreateCompletionRequest_Stop struct {
	// contains filtered or unexported fields
}

type CreateCompletionResponse struct {
	// Choices The list of completion choices the model generated for the input prompt.
	Choices []struct {
		// FinishReason The reason the model stopped generating tokens. This will be `stop` if the model hit a natural stop point or a provided stop sequence,
		// `length` if the maximum number of tokens specified in the request was reached,
		// or `content_filter` if content was omitted due to a flag from our content filters.
		FinishReason CreateCompletionResponseChoicesFinishReason `json:"finish_reason"`
		Index        int                                         `json:"index"`
		Logprobs     *struct {
			TextOffset    *[]int                `json:"text_offset,omitempty"`
			TokenLogprobs *[]float32            `json:"token_logprobs,omitempty"`
			Tokens        *[]string             `json:"tokens,omitempty"`
			TopLogprobs   *[]map[string]float32 `json:"top_logprobs,omitempty"`
		} `json:"logprobs"`
		Text string `json:"text"`
	} `json:"choices"`

	// Created The Unix timestamp (in seconds) of when the completion was created.
	Created int `json:"created"`

	// Id A unique identifier for the completion.
	Id string `json:"id"`

	// Model The model used for completion.
	Model string `json:"model"`

	// Object The object type, which is always "text_completion"
	Object CreateCompletionResponseObject `json:"object"`

	// SystemFingerprint This fingerprint represents the backend configuration that the model runs with.
	//
	// Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.
	SystemFingerprint *string `json:"system_fingerprint,omitempty"`

	// Usage Usage statistics for the completion request.
	Usage *CompletionUsage `json:"usage,omitempty"`
}

type CreateCompletionResponseChoicesFinishReason string

type CreateCompletionResponseObject string

type CreateEmbeddingJSONRequestBody = CreateEmbeddingRequest

type CreateEmbeddingRequest struct {
	// 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"`

	// EncodingFormat The format to return the embeddings in. Can be either `float` or [`base64`](https://pypi.org/project/pybase64/).
	EncodingFormat *CreateEmbeddingRequestEncodingFormat `json:"encoding_format,omitempty"`

	// Input Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens.
	Input CreateEmbeddingRequest_Input `json:"input"`

	// Model ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.
	Model CreateEmbeddingRequest_Model `json:"model"`

	// User A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
	User *string `json:"user,omitempty"`
}

type CreateEmbeddingRequestEncodingFormat string

type CreateEmbeddingRequestInput0 = string

type CreateEmbeddingRequestInput1 = []string

type CreateEmbeddingRequestInput2 = []int

type CreateEmbeddingRequestInput3 = [][]int

type CreateEmbeddingRequestModel0 = string

type CreateEmbeddingRequestModel1 string

type CreateEmbeddingRequest_Input struct {
	// contains filtered or unexported fields
}

type CreateEmbeddingRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateEmbeddingResponse struct {
	// Data The list of embeddings generated by the model.
	Data []Embedding `json:"data"`

	// Model The name of the model used to generate the embedding.
	Model string `json:"model"`

	// Object The object type, which is always "list".
	Object CreateEmbeddingResponseObject `json:"object"`

	// Usage The usage information for the request.
	Usage struct {
		// PromptTokens The number of tokens used by the prompt.
		PromptTokens int `json:"prompt_tokens"`

		// TotalTokens The total number of tokens used by the request.
		TotalTokens int `json:"total_tokens"`
	} `json:"usage"`
}

type CreateEmbeddingResponseObject string

type CreateFileMultipartRequestBody = CreateFileRequest

type CreateFileRequest struct {
	// File The File object (not file name) to be uploaded.
	File openapi_types.File `json:"file"`

	// Purpose The intended purpose of the uploaded file.
	//
	// Use "fine-tune" for [Fine-tuning](/docs/api-reference/fine-tuning) and "assistants" for [Assistants](/docs/api-reference/assistants) and [Messages](/docs/api-reference/messages). This allows us to validate the format of the uploaded file is correct for fine-tuning.
	Purpose CreateFileRequestPurpose `json:"purpose"`
}

type CreateFileRequestPurpose string

type CreateFineTuningJobJSONRequestBody = CreateFineTuningJobRequest

type CreateFineTuningJobRequest struct {
	// Hyperparameters The hyperparameters used for the fine-tuning job.
	Hyperparameters *struct {
		// BatchSize Number of examples in each batch. A larger batch size means that model parameters
		// are updated less frequently, but with lower variance.
		BatchSize *CreateFineTuningJobRequest_Hyperparameters_BatchSize `json:"batch_size,omitempty"`

		// LearningRateMultiplier Scaling factor for the learning rate. A smaller learning rate may be useful to avoid
		// overfitting.
		LearningRateMultiplier *CreateFineTuningJobRequest_Hyperparameters_LearningRateMultiplier `json:"learning_rate_multiplier,omitempty"`

		// NEpochs The number of epochs to train the model for. An epoch refers to one full cycle
		// through the training dataset.
		NEpochs *CreateFineTuningJobRequest_Hyperparameters_NEpochs `json:"n_epochs,omitempty"`
	} `json:"hyperparameters,omitempty"`

	// Model The name of the model to fine-tune. You can select one of the
	// [supported models](/docs/guides/fine-tuning/what-models-can-be-fine-tuned).
	Model CreateFineTuningJobRequest_Model `json:"model"`

	// Suffix A string of up to 18 characters that will be added to your fine-tuned model name.
	//
	// For example, a `suffix` of "custom-model-name" would produce a model name like `ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`.
	Suffix *string `json:"suffix"`

	// TrainingFile The ID of an uploaded file that contains training data.
	//
	// See [upload file](/docs/api-reference/files/upload) for how to upload a file.
	//
	// Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`.
	//
	// See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
	TrainingFile string `json:"training_file"`

	// ValidationFile The ID of an uploaded file that contains validation data.
	//
	// If you provide this file, the data is used to generate validation
	// metrics periodically during fine-tuning. These metrics can be viewed in
	// the fine-tuning results file.
	// The same data should not be present in both train and validation files.
	//
	// Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`.
	//
	// See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
	ValidationFile *string `json:"validation_file"`
}

type CreateFineTuningJobRequestHyperparametersBatchSize0 string

type CreateFineTuningJobRequestHyperparametersBatchSize1 = int

type CreateFineTuningJobRequestHyperparametersLearningRateMultiplier0 string

type CreateFineTuningJobRequestHyperparametersLearningRateMultiplier1 = float32

type CreateFineTuningJobRequestHyperparametersNEpochs0 string

type CreateFineTuningJobRequestHyperparametersNEpochs1 = int

type CreateFineTuningJobRequestModel0 = string

type CreateFineTuningJobRequestModel1 string

type CreateFineTuningJobRequest_Hyperparameters_BatchSize struct {
	// contains filtered or unexported fields
}

type CreateFineTuningJobRequest_Hyperparameters_LearningRateMultiplier struct {
	// contains filtered or unexported fields
}

type CreateFineTuningJobRequest_Hyperparameters_NEpochs struct {
	// contains filtered or unexported fields
}

type CreateFineTuningJobRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateImageEditMultipartRequestBody = CreateImageEditRequest

type CreateImageEditRequest struct {
	// Image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask.
	Image openapi_types.File `json:"image"`

	// Mask An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`.
	Mask *openapi_types.File `json:"mask,omitempty"`

	// Model The model to use for image generation. Only `dall-e-2` is supported at this time.
	Model *CreateImageEditRequest_Model `json:"model"`

	// N The number of images to generate. Must be between 1 and 10.
	N *int `json:"n"`

	// Prompt A text description of the desired image(s). The maximum length is 1000 characters.
	Prompt string `json:"prompt"`

	// ResponseFormat 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.
	ResponseFormat *CreateImageEditRequestResponseFormat `json:"response_format"`

	// Size The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`.
	Size *CreateImageEditRequestSize `json:"size"`

	// User A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
	User *string `json:"user,omitempty"`
}

type CreateImageEditRequestModel0 = string

type CreateImageEditRequestModel1 string

type CreateImageEditRequestResponseFormat string

type CreateImageEditRequestSize string

type CreateImageEditRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateImageJSONRequestBody = CreateImageRequest

type CreateImageRequest struct {
	// Model The model to use for image generation.
	Model *CreateImageRequest_Model `json:"model"`

	// N The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only `n=1` is supported.
	N *int `json:"n"`

	// Prompt A text description of the desired image(s). The maximum length is 1000 characters for `dall-e-2` and 4000 characters for `dall-e-3`.
	Prompt string `json:"prompt"`

	// Quality The quality of the image that will be generated. `hd` creates images with finer details and greater consistency across the image. This param is only supported for `dall-e-3`.
	Quality *CreateImageRequestQuality `json:"quality,omitempty"`

	// ResponseFormat 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.
	ResponseFormat *CreateImageRequestResponseFormat `json:"response_format"`

	// Size The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3` models.
	Size *CreateImageRequestSize `json:"size"`

	// Style The style of the generated images. Must be one of `vivid` or `natural`. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. This param is only supported for `dall-e-3`.
	Style *CreateImageRequestStyle `json:"style"`

	// User A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
	User *string `json:"user,omitempty"`
}

type CreateImageRequestModel0 = string

type CreateImageRequestModel1 string

type CreateImageRequestQuality string

type CreateImageRequestResponseFormat string

type CreateImageRequestSize string

type CreateImageRequestStyle string

type CreateImageRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateImageVariationMultipartRequestBody = CreateImageVariationRequest

type CreateImageVariationRequest struct {
	// Image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.
	Image openapi_types.File `json:"image"`

	// Model The model to use for image generation. Only `dall-e-2` is supported at this time.
	Model *CreateImageVariationRequest_Model `json:"model"`

	// N The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only `n=1` is supported.
	N *int `json:"n"`

	// ResponseFormat 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.
	ResponseFormat *CreateImageVariationRequestResponseFormat `json:"response_format"`

	// Size The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`.
	Size *CreateImageVariationRequestSize `json:"size"`

	// User A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
	User *string `json:"user,omitempty"`
}

type CreateImageVariationRequestModel0 = string

type CreateImageVariationRequestModel1 string

type CreateImageVariationRequestResponseFormat string

type CreateImageVariationRequestSize string

type CreateImageVariationRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateMessageJSONRequestBody = CreateMessageRequest

type CreateMessageRequest struct {
	// Content The content of the message.
	Content string `json:"content"`

	// FileIds A list of [File](/docs/api-reference/files) IDs that the message should use. There can be a maximum of 10 files attached to a message. Useful for tools like `retrieval` and `code_interpreter` that can access and use files.
	FileIds *[]string `json:"file_ids,omitempty"`

	// Metadata Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
	Metadata *map[string]interface{} `json:"metadata"`

	// Role The role of the entity that is creating the message. Currently only `user` is supported.
	Role CreateMessageRequestRole `json:"role"`
}

type CreateMessageRequestRole string

type CreateModerationJSONRequestBody = CreateModerationRequest

type CreateModerationRequest struct {
	// Input The input text to classify
	Input CreateModerationRequest_Input `json:"input"`

	// Model Two content moderations models are available: `text-moderation-stable` and `text-moderation-latest`.
	//
	// The default is `text-moderation-latest` which will be automatically upgraded over time. This ensures you are always using our most accurate model. If you use `text-moderation-stable`, we will provide advanced notice before updating the model. Accuracy of `text-moderation-stable` may be slightly lower than for `text-moderation-latest`.
	Model *CreateModerationRequest_Model `json:"model,omitempty"`
}

type CreateModerationRequestInput0 = string

type CreateModerationRequestInput1 = []string

type CreateModerationRequestModel0 = string

type CreateModerationRequestModel1 string

type CreateModerationRequest_Input struct {
	// contains filtered or unexported fields
}

type CreateModerationRequest_Model struct {
	// contains filtered or unexported fields
}

type CreateModerationResponse struct {
	// Id The unique identifier for the moderation request.
	Id string `json:"id"`

	// Model The model used to generate the moderation results.
	Model string `json:"model"`

	// Results A list of moderation objects.
	Results []struct {
		// Categories A list of the categories, and whether they are flagged or not.
		Categories struct {
			// Harassment Content that expresses, incites, or promotes harassing language towards any target.
			Harassment bool `json:"harassment"`

			// Harassmentthreatening Harassment content that also includes violence or serious harm towards any target.
			Harassmentthreatening bool `json:"harassment/threatening"`

			// Hate Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. Hateful content aimed at non-protected groups (e.g., chess players) is harassment.
			Hate bool `json:"hate"`

			// Hatethreatening Hateful content that also includes violence or serious harm towards the targeted group based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste.
			Hatethreatening bool `json:"hate/threatening"`

			// SelfHarm Content that promotes, encourages, or depicts acts of self-harm, such as suicide, cutting, and eating disorders.
			SelfHarm bool `json:"self-harm"`

			// SelfHarminstructions Content that encourages performing acts of self-harm, such as suicide, cutting, and eating disorders, or that gives instructions or advice on how to commit such acts.
			SelfHarminstructions bool `json:"self-harm/instructions"`

			// SelfHarmintent Content where the speaker expresses that they are engaging or intend to engage in acts of self-harm, such as suicide, cutting, and eating disorders.
			SelfHarmintent bool `json:"self-harm/intent"`

			// Sexual Content meant to arouse sexual excitement, such as the description of sexual activity, or that promotes sexual services (excluding sex education and wellness).
			Sexual bool `json:"sexual"`

			// Sexualminors Sexual content that includes an individual who is under 18 years old.
			Sexualminors bool `json:"sexual/minors"`

			// Violence Content that depicts death, violence, or physical injury.
			Violence bool `json:"violence"`

			// Violencegraphic Content that depicts death, violence, or physical injury in graphic detail.
			Violencegraphic bool `json:"violence/graphic"`
		} `json:"categories"`

		// CategoryScores A list of the categories along with their scores as predicted by model.
		CategoryScores struct {
			// Harassment The score for the category 'harassment'.
			Harassment float32 `json:"harassment"`

			// Harassmentthreatening The score for the category 'harassment/threatening'.
			Harassmentthreatening float32 `json:"harassment/threatening"`

			// Hate The score for the category 'hate'.
			Hate float32 `json:"hate"`

			// Hatethreatening The score for the category 'hate/threatening'.
			Hatethreatening float32 `json:"hate/threatening"`

			// SelfHarm The score for the category 'self-harm'.
			SelfHarm float32 `json:"self-harm"`

			// SelfHarminstructions The score for the category 'self-harm/instructions'.
			SelfHarminstructions float32 `json:"self-harm/instructions"`

			// SelfHarmintent The score for the category 'self-harm/intent'.
			SelfHarmintent float32 `json:"self-harm/intent"`

			// Sexual The score for the category 'sexual'.
			Sexual float32 `json:"sexual"`

			// Sexualminors The score for the category 'sexual/minors'.
			Sexualminors float32 `json:"sexual/minors"`

			// Violence The score for the category 'violence'.
			Violence float32 `json:"violence"`

			// Violencegraphic The score for the category 'violence/graphic'.
			Violencegraphic float32 `json:"violence/graphic"`
		} `json:"category_scores"`

		// Flagged Whether any of the below categories are flagged.
		Flagged bool `json:"flagged"`
	} `json:"results"`
}