Files
new-api/service/relayconvert/internal/oai_responses/to_oai_chat_resp.go
T
CaIon 48068ce923 feat: bill OpenAI cache_write_tokens at cache-creation price with zero clamp
Parse OpenAI's native cache_write_tokens (chat prompt_tokens_details /
responses input_tokens_details), bill it at the cache-creation ratio, and
clamp the uncached prompt remainder at zero since cached + cache-write can
exceed prompt_tokens. Propagate the field through chat/responses/claude
format conversions and tiered expression billing (cc variable).
2026-07-11 21:18:49 +08:00

291 lines
8.1 KiB
Go

package oairesponses
import (
"errors"
"fmt"
"strings"
"github.com/QuantumNous/new-api/common"
"github.com/QuantumNous/new-api/dto"
)
const (
responsesEventCreated = "response.created"
responsesEventCompleted = "response.completed"
responsesEventDone = "response.done"
responsesEventIncomplete = "response.incomplete"
responsesEventFailed = "response.failed"
responsesEventError = "response.error"
responsesEventOutputTextDelta = "response.output_text.delta"
responsesEventOutputItemAdded = "response.output_item.added"
responsesEventOutputItemDone = "response.output_item.done"
responsesEventFunctionArgsDelta = "response.function_call_arguments.delta"
responsesEventFunctionArgsDone = "response.function_call_arguments.done"
responsesEventCustomToolInputDelta = "response.custom_tool_call_input.delta"
responsesEventCustomToolInputDone = "response.custom_tool_call_input.done"
responsesEventReasoningSummaryDelta = "response.reasoning_summary_text.delta"
responsesEventReasoningSummaryDone = "response.reasoning_summary_text.done"
responsesEventReasoningTextDelta = "response.reasoning_text.delta"
responsesEventReasoningTextDone = "response.reasoning_text.done"
responsesOutputTypeFunctionCall = "function_call"
responsesOutputTypeCustomToolCall = "custom_tool_call"
responsesOutputTypeMessage = "message"
responsesOutputTypeReasoning = "reasoning"
responsesIncompleteReasonContentFilter = "content_filter"
responsesIncompleteReasonMaxTokens = "max_output_tokens"
)
func ResponsesFinishReasonFromStatus(resp *dto.OpenAIResponsesResponse) (string, bool) {
if resp == nil {
return "", false
}
status := responseStatusString(resp)
if status != "incomplete" {
return "", false
}
reason := ""
if resp.IncompleteDetails != nil {
reason = strings.TrimSpace(resp.IncompleteDetails.Reason)
}
if reason == responsesIncompleteReasonContentFilter {
return "content_filter", true
}
return "length", true
}
func ResponsesResponseToChatCompletionsResponse(resp *dto.OpenAIResponsesResponse, id string) (*dto.OpenAITextResponse, *dto.Usage, error) {
if resp == nil {
return nil, nil, errors.New("response is nil")
}
text := ExtractOutputTextFromResponses(resp)
reasoning := ExtractReasoningTextFromResponses(resp)
usage := UsageFromResponsesUsage(resp.Usage)
created := resp.CreatedAt
var toolCalls []dto.ToolCallResponse
if len(resp.Output) > 0 {
for _, out := range resp.Output {
if !isResponsesToolOutputType(out.Type) {
continue
}
name := strings.TrimSpace(out.Name)
if name == "" {
continue
}
callId := strings.TrimSpace(out.CallId)
if callId == "" {
callId = strings.TrimSpace(out.ID)
}
toolCalls = append(toolCalls, dto.ToolCallResponse{
ID: callId,
Type: "function",
Function: dto.FunctionResponse{
Name: name,
Arguments: out.ArgumentsString(),
},
})
}
}
finishReason := "stop"
if mappedReason, ok := ResponsesFinishReasonFromStatus(resp); ok {
finishReason = mappedReason
} else if len(toolCalls) > 0 {
finishReason = "tool_calls"
}
msg := dto.Message{
Role: "assistant",
Content: text,
}
if reasoning != "" {
msg.ReasoningContent = &reasoning
}
if len(toolCalls) > 0 {
msg.SetToolCalls(toolCalls)
}
out := &dto.OpenAITextResponse{
Id: id,
Object: "chat.completion",
Created: created,
Model: resp.Model,
Choices: []dto.OpenAITextResponseChoice{
{
Index: 0,
Message: msg,
FinishReason: finishReason,
},
},
Usage: *usage,
}
return out, usage, nil
}
func UsageFromResponsesUsage(src *dto.Usage) *dto.Usage {
usage := &dto.Usage{}
if src == nil {
return usage
}
usage.UsageSemantic = src.UsageSemantic
usage.UsageSource = src.UsageSource
usage.BillingUsage = dto.CloneBillingUsage(src.BillingUsage)
if usage.BillingUsage == nil {
usage.BillingUsage = dto.NewOpenAIResponsesBillingUsage(src)
}
usage.Cost = src.Cost
if src.InputTokens != 0 {
usage.PromptTokens = src.InputTokens
usage.InputTokens = src.InputTokens
}
if src.OutputTokens != 0 {
usage.CompletionTokens = src.OutputTokens
usage.OutputTokens = src.OutputTokens
}
if src.TotalTokens != 0 {
usage.TotalTokens = src.TotalTokens
} else {
usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
}
if src.InputTokensDetails != nil {
usage.PromptTokensDetails.CachedTokens = src.InputTokensDetails.CachedTokens
usage.PromptTokensDetails.CachedCreationTokens = src.InputTokensDetails.CachedCreationTokens
usage.PromptTokensDetails.CacheWriteTokens = src.InputTokensDetails.CacheWriteTokens
usage.PromptTokensDetails.TextTokens = src.InputTokensDetails.TextTokens
usage.PromptTokensDetails.ImageTokens = src.InputTokensDetails.ImageTokens
usage.PromptTokensDetails.AudioTokens = src.InputTokensDetails.AudioTokens
}
if src.CompletionTokenDetails.ReasoningTokens != 0 ||
src.CompletionTokenDetails.TextTokens != 0 ||
src.CompletionTokenDetails.AudioTokens != 0 ||
src.CompletionTokenDetails.ImageTokens != 0 {
usage.CompletionTokenDetails.ReasoningTokens = src.CompletionTokenDetails.ReasoningTokens
usage.CompletionTokenDetails.TextTokens = src.CompletionTokenDetails.TextTokens
usage.CompletionTokenDetails.AudioTokens = src.CompletionTokenDetails.AudioTokens
usage.CompletionTokenDetails.ImageTokens = src.CompletionTokenDetails.ImageTokens
}
usage.ClaudeCacheCreation5mTokens = src.ClaudeCacheCreation5mTokens
usage.ClaudeCacheCreation1hTokens = src.ClaudeCacheCreation1hTokens
return usage
}
func ExtractOutputTextFromResponses(resp *dto.OpenAIResponsesResponse) string {
if resp == nil || len(resp.Output) == 0 {
return ""
}
var sb strings.Builder
// Prefer assistant message outputs.
for _, out := range resp.Output {
if out.Type != "message" {
continue
}
if out.Role != "" && out.Role != "assistant" {
continue
}
for _, c := range out.Content {
if c.Type == "output_text" && c.Text != "" {
sb.WriteString(c.Text)
}
}
}
if sb.Len() > 0 {
return sb.String()
}
for _, out := range resp.Output {
for _, c := range out.Content {
if c.Text != "" {
sb.WriteString(c.Text)
}
}
}
return sb.String()
}
func ExtractReasoningTextFromResponses(resp *dto.OpenAIResponsesResponse) string {
if resp == nil || len(resp.Output) == 0 {
return ""
}
var sb strings.Builder
for _, out := range resp.Output {
if out.Type != responsesOutputTypeReasoning {
continue
}
for _, c := range out.Content {
if c.Text != "" {
sb.WriteString(c.Text)
}
}
}
return sb.String()
}
func responseStatusString(resp *dto.OpenAIResponsesResponse) string {
if resp == nil || len(resp.Status) == 0 {
return ""
}
var status string
_ = common.Unmarshal(resp.Status, &status)
return strings.TrimSpace(status)
}
func ensureIncompleteResponse(resp *dto.OpenAIResponsesResponse) *dto.OpenAIResponsesResponse {
if resp == nil {
resp = &dto.OpenAIResponsesResponse{}
}
if len(resp.Status) == 0 {
resp.Status = []byte(`"incomplete"`)
}
return resp
}
func isResponsesToolOutputType(outputType string) bool {
return outputType == responsesOutputTypeFunctionCall || outputType == responsesOutputTypeCustomToolCall
}
func responseStreamEventItemID(event *dto.ResponsesStreamResponse) string {
if event == nil {
return ""
}
if event.Item != nil {
if itemID := strings.TrimSpace(event.Item.ID); itemID != "" {
return itemID
}
}
return strings.TrimSpace(event.ItemID)
}
func fallbackToolKey(itemID string, callID string, outputIndex *int) string {
if outputIndex != nil {
return fmt.Sprintf("output:%d", *outputIndex)
}
if strings.TrimSpace(itemID) != "" {
return "item:" + strings.TrimSpace(itemID)
}
if strings.TrimSpace(callID) != "" {
return "call:" + strings.TrimSpace(callID)
}
return ""
}
func fallbackCallID(event *dto.ResponsesStreamResponse) string {
if event == nil {
return ""
}
if strings.TrimSpace(event.ItemID) != "" {
return strings.TrimSpace(event.ItemID)
}
if event.OutputIndex != nil {
return fmt.Sprintf("call_output_%d", *event.OutputIndex)
}
return ""
}