openAI

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

type ClientRequest struct {
	// Messages is a list of messages forming the conversation history.
	Messages []*Message `json:"messages"`
}

type CompletionTokensDetails struct {
	// ReasoningTokens is the number of tokens used for reasoning in the response.
	ReasoningTokens int `json:"reasoning_tokens"`
}

type Config struct {
	APIKey       string `json:"openai_api_key"`      // APIKey is the authentication key for accessing OpenAI API.
	Organization string `json:"openai_organization"` // Organization specifies the associated organization ID (optional).
	Base         string `json:"openai_api_base"`     // Base is the base URL for OpenAI API. It can be customized if needed.
}

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

type Error struct {
	Message string `json:"message"`
	Type    string `json:"type"`
}

type IModelMode interface {
	Endpoint() string
	convert.IConverter
}

type Message struct {
	// Role indicates the role of the message sender (e.g., "system", "user", "assistant").
	Role string `json:"role"`
	// Content contains the actual text of the message.
	Content string `json:"content"`
}

type ModelConfig struct {
	FrequencyPenalty float64 `json:"frequency_penalty"`
	MaxTokens        int     `json:"max_tokens"`
	PresencePenalty  float64 `json:"presence_penalty"`
	ResponseFormat   string  `json:"response_format"`
	Temperature      float64 `json:"temperature"`
	TopP             float64 `json:"top_p"`
}

type Response struct {
	// Id is the unique identifier for the response.
	Id string `json:"id"`
	// Object specifies the type of object returned (e.g., "response").
	Object string `json:"object"`
	// Created is the timestamp of when the response was generated.
	Created int `json:"created"`
	// Model indicates the model used to generate the response.
	Model string `json:"model"`
	// SystemFingerprint is a fingerprint of the system generating the response.
	SystemFingerprint string `json:"system_fingerprint"`
	// Choices contains the list of choices generated by the model.
	Choices []ResponseChoice `json:"choices"`
	// Usage provides information about token usage for the request and response.
	Usage Usage `json:"usage"`
	Error Error `json:"error"`
}

type ResponseChoice struct {
	// Index is the position of the choice in the response list.
	Index int `json:"index"`
	// Message contains the generated message for this choice.
	Message Message `json:"message"`
	// Logprobs provides log probability data for the tokens (if available).
	Logprobs interface{} `json:"logprobs"`
	// FinishReason indicates why the generation stopped (e.g., "length", "stop").
	FinishReason string `json:"finish_reason"`
}

type Usage struct {
	// PromptTokens is the number of tokens used in the input prompt.
	PromptTokens int `json:"prompt_tokens"`
	// CompletionTokens is the number of tokens generated in the response.
	CompletionTokens int `json:"completion_tokens"`
	// TotalTokens is the total number of tokens used (prompt + completion).
	TotalTokens int `json:"total_tokens"`
	// CompletionTokensDetails provides a breakdown of completion tokens.
	CompletionTokensDetails CompletionTokensDetails `json:"completion_tokens_details"`
}