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package dto
import (
"encoding/json"
"fmt"
kitutil "github.com/QuantumNous/new-api/relaykit/relayconvert/kitutil"
"github.com/QuantumNous/new-api/relaykit/types"
)
const (
ResponsesOutputTypeImageGenerationCall = "image_generation_call"
)
type SimpleResponse struct {
Usage `json:"usage"`
Error any `json:"error"`
}
// GetOpenAIError 从动态错误类型中提取OpenAIError结构
func (s *SimpleResponse) GetOpenAIError() *types.OpenAIError {
return GetOpenAIError(s.Error)
}
type TextResponse struct {
Id string `json:"id"`
Object string `json:"object"`
Created int64 `json:"created"`
Model string `json:"model"`
Choices []OpenAITextResponseChoice `json:"choices"`
Usage `json:"usage"`
}
type OpenAITextResponseChoice struct {
Index int `json:"index"`
Message `json:"message"`
FinishReason string `json:"finish_reason"`
}
type OpenAITextResponse struct {
Id string `json:"id"`
Model string `json:"model"`
Object string `json:"object"`
Created any `json:"created"`
Choices []OpenAITextResponseChoice `json:"choices"`
Error any `json:"error,omitempty"`
Usage `json:"usage"`
}
// GetOpenAIError 从动态错误类型中提取OpenAIError结构
func (o *OpenAITextResponse) GetOpenAIError() *types.OpenAIError {
return GetOpenAIError(o.Error)
}
type OpenAIEmbeddingResponseItem struct {
Object string `json:"object"`
Index int `json:"index"`
Embedding []float64 `json:"embedding"`
}
type OpenAIEmbeddingResponse struct {
Object string `json:"object"`
Data []OpenAIEmbeddingResponseItem `json:"data"`
Model string `json:"model"`
Usage `json:"usage"`
}
type FlexibleEmbeddingResponseItem struct {
Object string `json:"object"`
Index int `json:"index"`
Embedding any `json:"embedding"`
}
type FlexibleEmbeddingResponse struct {
Object string `json:"object"`
Data []FlexibleEmbeddingResponseItem `json:"data"`
Model string `json:"model"`
Usage `json:"usage"`
}
type ChatCompletionsStreamResponseChoice struct {
Delta ChatCompletionsStreamResponseChoiceDelta `json:"delta,omitempty"`
Logprobs *any `json:"logprobs"`
FinishReason *string `json:"finish_reason"`
Index int `json:"index"`
}
type ChatCompletionsStreamResponseChoiceDelta struct {
Content *string `json:"content,omitempty"`
ReasoningContent *string `json:"reasoning_content,omitempty"`
Reasoning *string `json:"reasoning,omitempty"`
Role string `json:"role,omitempty"`
ToolCalls []ToolCallResponse `json:"tool_calls,omitempty"`
}
func (c *ChatCompletionsStreamResponseChoiceDelta) SetContentString(s string) {
c.Content = &s
}
func (c *ChatCompletionsStreamResponseChoiceDelta) GetContentString() string {
if c.Content == nil {
return ""
}
return *c.Content
}
func (c *ChatCompletionsStreamResponseChoiceDelta) GetReasoningContent() string {
if c.ReasoningContent == nil && c.Reasoning == nil {
return ""
}
if c.ReasoningContent != nil {
return *c.ReasoningContent
}
return *c.Reasoning
}
func (c *ChatCompletionsStreamResponseChoiceDelta) SetReasoningContent(s string) {
c.ReasoningContent = &s
//c.Reasoning = &s
}
type ToolCallResponse struct {
// Index is not nil only in chat completion chunk object
Index *int `json:"index,omitempty"`
ID string `json:"id,omitempty"`
Type any `json:"type"`
Function FunctionResponse `json:"function"`
}
func (c *ToolCallResponse) SetIndex(i int) {
c.Index = &i
}
type FunctionResponse struct {
Description string `json:"description,omitempty"`
Name string `json:"name,omitempty"`
// call function with arguments in JSON format
Parameters any `json:"parameters,omitempty"` // request
Arguments string `json:"arguments"` // response
}
type ChatCompletionsStreamResponse struct {
Id string `json:"id"`
Object string `json:"object"`
Created int64 `json:"created"`
Model string `json:"model"`
SystemFingerprint *string `json:"system_fingerprint"`
Choices []ChatCompletionsStreamResponseChoice `json:"choices"`
Usage *Usage `json:"usage"`
}
func (c *ChatCompletionsStreamResponse) IsFinished() bool {
if len(c.Choices) == 0 {
return false
}
return c.Choices[0].FinishReason != nil && *c.Choices[0].FinishReason != ""
}
func (c *ChatCompletionsStreamResponse) IsToolCall() bool {
if len(c.Choices) == 0 {
return false
}
return len(c.Choices[0].Delta.ToolCalls) > 0
}
func (c *ChatCompletionsStreamResponse) GetFirstToolCall() *ToolCallResponse {
if c.IsToolCall() {
return &c.Choices[0].Delta.ToolCalls[0]
}
return nil
}
func (c *ChatCompletionsStreamResponse) ClearToolCalls() {
if !c.IsToolCall() {
return
}
for choiceIdx := range c.Choices {
for callIdx := range c.Choices[choiceIdx].Delta.ToolCalls {
c.Choices[choiceIdx].Delta.ToolCalls[callIdx].ID = ""
c.Choices[choiceIdx].Delta.ToolCalls[callIdx].Type = nil
c.Choices[choiceIdx].Delta.ToolCalls[callIdx].Function.Name = ""
}
}
}
func (c *ChatCompletionsStreamResponse) Copy() *ChatCompletionsStreamResponse {
choices := make([]ChatCompletionsStreamResponseChoice, len(c.Choices))
copy(choices, c.Choices)
return &ChatCompletionsStreamResponse{
Id: c.Id,
Object: c.Object,
Created: c.Created,
Model: c.Model,
SystemFingerprint: c.SystemFingerprint,
Choices: choices,
Usage: c.Usage,
}
}
func (c *ChatCompletionsStreamResponse) GetSystemFingerprint() string {
if c.SystemFingerprint == nil {
return ""
}
return *c.SystemFingerprint
}
func (c *ChatCompletionsStreamResponse) SetSystemFingerprint(s string) {
c.SystemFingerprint = &s
}
type ChatCompletionsStreamResponseSimple struct {
Choices []ChatCompletionsStreamResponseChoice `json:"choices"`
Usage *Usage `json:"usage"`
}
type CompletionsStreamResponse struct {
Choices []struct {
Text string `json:"text"`
FinishReason string `json:"finish_reason"`
} `json:"choices"`
}
type Usage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
PromptCacheHitTokens int `json:"prompt_cache_hit_tokens,omitempty"`
UsageSemantic string `json:"usage_semantic,omitempty"`
UsageSource string `json:"usage_source,omitempty"`
BillingUsage *BillingUsage `json:"billing_usage,omitempty"`
PromptTokensDetails InputTokenDetails `json:"prompt_tokens_details"`
CompletionTokenDetails OutputTokenDetails `json:"completion_tokens_details"`
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
InputTokensDetails *InputTokenDetails `json:"input_tokens_details"`
// claude cache 1h
ClaudeCacheCreation5mTokens int `json:"claude_cache_creation_5_m_tokens"`
ClaudeCacheCreation1hTokens int `json:"claude_cache_creation_1_h_tokens"`
// OpenRouter Params
Cost any `json:"cost,omitempty"`
}
type OpenAIVideoResponse struct {
Id string `json:"id" example:"file-abc123"`
Object string `json:"object" example:"file"`
Bytes int64 `json:"bytes" example:"120000"`
CreatedAt int64 `json:"created_at" example:"1677610602"`
ExpiresAt int64 `json:"expires_at" example:"1677614202"`
Filename string `json:"filename" example:"mydata.jsonl"`
Purpose string `json:"purpose" example:"fine-tune"`
}
type InputTokenDetails struct {
CachedTokens int `json:"cached_tokens"`
CachedCreationTokens int `json:"cached_creation_tokens,omitempty"`
// CacheWriteTokens is OpenAI's native cache-write count, reported as
// prompt_tokens_details.cache_write_tokens (Chat Completions) or
// input_tokens_details.cache_write_tokens (Responses). It is billed at the
// cache-creation price.
CacheWriteTokens int `json:"cache_write_tokens,omitempty"`
TextTokens int `json:"text_tokens"`
AudioTokens int `json:"audio_tokens"`
ImageTokens int `json:"image_tokens"`
}
// CacheCreationTokensTotal returns the cache-write token count regardless of
// which field the upstream reported it in: Claude-derived conversions populate
// CachedCreationTokens while OpenAI reports cache_write_tokens natively. Both
// are billed at the cache-creation price; when both are present the larger
// value wins so the same tokens are never double-counted. Negative upstream
// values are clamped to zero so they can never lower a charge.
func (d InputTokenDetails) CacheCreationTokensTotal() int {
total := d.CachedCreationTokens
if d.CacheWriteTokens > total {
total = d.CacheWriteTokens
}
if total < 0 {
return 0
}
return total
}
type OutputTokenDetails struct {
TextTokens int `json:"text_tokens"`
AudioTokens int `json:"audio_tokens"`
ImageTokens int `json:"image_tokens"`
ReasoningTokens int `json:"reasoning_tokens"`
}
type OpenAIResponsesResponse struct {
ID string `json:"id"`
Object string `json:"object"`
CreatedAt int `json:"created_at"`
Status json.RawMessage `json:"status"`
Error any `json:"error,omitempty"`
IncompleteDetails *IncompleteDetails `json:"incomplete_details,omitempty"`
Instructions json.RawMessage `json:"instructions"`
MaxOutputTokens int `json:"max_output_tokens"`
Model string `json:"model"`
Output []ResponsesOutput `json:"output"`
ParallelToolCalls bool `json:"parallel_tool_calls"`
PreviousResponseID json.RawMessage `json:"previous_response_id"`
Reasoning *Reasoning `json:"reasoning"`
Store bool `json:"store"`
Temperature float64 `json:"temperature"`
ToolChoice json.RawMessage `json:"tool_choice"`
Tools []map[string]any `json:"tools"`
TopP float64 `json:"top_p"`
Truncation json.RawMessage `json:"truncation"`
Usage *Usage `json:"usage"`
User json.RawMessage `json:"user"`
Metadata json.RawMessage `json:"metadata"`
}
// GetOpenAIError 从动态错误类型中提取OpenAIError结构
func (o *OpenAIResponsesResponse) GetOpenAIError() *types.OpenAIError {
return GetOpenAIError(o.Error)
}
type IncompleteDetails struct {
Reason string `json:"reason"`
}
type ResponsesOutput struct {
Type string `json:"type"`
ID string `json:"id"`
Status string `json:"status"`
Role string `json:"role"`
Content []ResponsesOutputContent `json:"content"`
Quality string `json:"quality"`
Size string `json:"size"`
Result string `json:"result,omitempty"`
CallId string `json:"call_id,omitempty"`
Name string `json:"name,omitempty"`
Arguments json.RawMessage `json:"arguments,omitempty"`
}
// ArgumentsString returns function call arguments in the string form expected by Chat Completions.
func (r *ResponsesOutput) ArgumentsString() string {
if r == nil {
return ""
}
return ResponsesArgumentsString(r.Arguments)
}
// ResponsesArgumentsString returns function call arguments in the string form expected by Chat Completions.
func ResponsesArgumentsString(arguments json.RawMessage) string {
return kitutil.JsonRawMessageToString(arguments)
}
type ResponsesOutputContent struct {
Type string `json:"type"`
Text string `json:"text"`
Annotations []interface{} `json:"annotations"`
}
type ResponsesReasoningSummaryPart struct {
Type string `json:"type"`
Text string `json:"text"`
}
const (
BuildInToolWebSearchPreview = "web_search_preview"
BuildInToolWebSearch = "web_search"
BuildInToolFileSearch = "file_search"
BuildInToolGoogleSearch = "google_search"
BuildInToolImageGeneration = "image_generation"
)
const (
BuildInCallWebSearchCall = "web_search_call"
BuildInCallFileSearchCall = "file_search_call"
BuildInCallFunctionCall = "function_call"
BuildInCallToolUse = "tool_use"
)
const (
ResponsesOutputTypeItemAdded = "response.output_item.added"
ResponsesOutputTypeItemDone = "response.output_item.done"
)
// ResponsesStreamResponse 用于处理 /v1/responses 流式响应
type ResponsesStreamResponse struct {
Type string `json:"type"`
Response *OpenAIResponsesResponse `json:"response,omitempty"`
Delta string `json:"delta,omitempty"`
Item *ResponsesOutput `json:"item,omitempty"`
// - response.function_call_arguments.delta
// - response.function_call_arguments.done
OutputIndex *int `json:"output_index,omitempty"`
ContentIndex *int `json:"content_index,omitempty"`
SummaryIndex *int `json:"summary_index,omitempty"`
ItemID string `json:"item_id,omitempty"`
Part *ResponsesReasoningSummaryPart `json:"part,omitempty"`
}
// GetOpenAIError 从动态错误类型中提取OpenAIError结构
func GetOpenAIError(errorField any) *types.OpenAIError {
if errorField == nil {
return nil
}
switch err := errorField.(type) {
case types.OpenAIError:
return &err
case *types.OpenAIError:
return err
case map[string]interface{}:
// 处理从JSON解析来的map结构
openaiErr := &types.OpenAIError{}
if errType, ok := err["type"].(string); ok {
openaiErr.Type = errType
}
if errMsg, ok := err["message"].(string); ok {
openaiErr.Message = errMsg
}
if errParam, ok := err["param"].(string); ok {
openaiErr.Param = errParam
}
if errCode, ok := err["code"]; ok {
openaiErr.Code = errCode
}
return openaiErr
case string:
// 处理简单字符串错误
return &types.OpenAIError{
Type: "error",
Message: err,
}
default:
// 未知类型,尝试转换为字符串
return &types.OpenAIError{
Type: "unknown_error",
Message: fmt.Sprintf("%v", err),
}
}
}