feat: add OpenAI image generation controls

This commit is contained in:
2ue
2026-05-05 03:26:54 +08:00
parent 4de28fec8c
commit 6faa344916
85 changed files with 6086 additions and 568 deletions
@@ -9,6 +9,7 @@ import (
"io"
"net/http"
"strings"
"sync/atomic"
"time"
"github.com/Wei-Shaw/sub2api/internal/pkg/logger"
@@ -361,21 +362,21 @@ func collectOpenAIImagesFromResponsesBody(body []byte) ([]openAIResponsesImageRe
var (
fallbackResults []openAIResponsesImageResult
fallbackSeen = make(map[string]struct{})
finalResults []openAIResponsesImageResult
finalMeta openAIResponsesImageResult
collectErr error
createdAt int64
usageRaw []byte
foundFinal bool
responseMeta openAIResponsesImageResult
)
for _, line := range bytes.Split(body, []byte("\n")) {
line = bytes.TrimRight(line, "\r")
data, ok := extractOpenAISSEDataLine(string(line))
if !ok || data == "" || data == "[DONE]" {
continue
forEachOpenAISSEDataPayload(string(body), func(payload []byte) {
if collectErr != nil || len(finalResults) > 0 {
return
}
payload := []byte(data)
if !gjson.ValidBytes(payload) {
continue
return
}
if meta, eventCreatedAt, ok := extractOpenAIResponsesImageMetaFromLifecycleEvent(payload); ok {
mergeOpenAIResponsesImageMeta(&responseMeta, meta)
@@ -388,7 +389,8 @@ func collectOpenAIImagesFromResponsesBody(body []byte) ([]openAIResponsesImageRe
case "response.output_item.done":
result, itemID, ok, err := extractOpenAIImageFromResponsesOutputItemDone(payload)
if err != nil {
return nil, 0, nil, openAIResponsesImageResult{}, false, err
collectErr = err
return
}
if ok {
mergeOpenAIResponsesImageMeta(&result, responseMeta)
@@ -397,7 +399,8 @@ func collectOpenAIImagesFromResponsesBody(body []byte) ([]openAIResponsesImageRe
case "response.completed":
results, completedAt, completedUsageRaw, firstMeta, err := extractOpenAIImagesFromResponsesCompleted(payload)
if err != nil {
return nil, 0, nil, openAIResponsesImageResult{}, false, err
collectErr = err
return
}
foundFinal = true
if completedAt > 0 {
@@ -408,14 +411,24 @@ func collectOpenAIImagesFromResponsesBody(body []byte) ([]openAIResponsesImageRe
}
if len(results) > 0 {
mergeOpenAIResponsesImageMeta(&firstMeta, responseMeta)
return results, createdAt, usageRaw, firstMeta, true, nil
finalResults = results
finalMeta = firstMeta
return
}
if len(fallbackResults) > 0 {
firstMeta = fallbackResults[0]
mergeOpenAIResponsesImageMeta(&firstMeta, responseMeta)
return fallbackResults, createdAt, usageRaw, firstMeta, true, nil
finalResults = fallbackResults
finalMeta = firstMeta
return
}
}
})
if collectErr != nil {
return nil, 0, nil, openAIResponsesImageResult{}, false, collectErr
}
if len(finalResults) > 0 {
return finalResults, createdAt, usageRaw, finalMeta, true, nil
}
if len(fallbackResults) > 0 {
@@ -505,6 +518,30 @@ func (s *OpenAIGatewayService) writeOpenAIImagesStreamEvent(c *gin.Context, flus
return nil
}
func (s *OpenAIGatewayService) tryWriteOpenAIImagesStreamEvent(
c *gin.Context,
flusher http.Flusher,
clientDisconnected *bool,
lastWriteAt *time.Time,
eventName string,
payload []byte,
) bool {
if clientDisconnected != nil && *clientDisconnected {
return false
}
if err := s.writeOpenAIImagesStreamEvent(c, flusher, eventName, payload); err != nil {
if clientDisconnected != nil {
*clientDisconnected = true
}
logger.LegacyPrintf("service.openai_gateway", "[OpenAI] Images stream client disconnected, continue draining upstream for billing")
return false
}
if lastWriteAt != nil {
*lastWriteAt = time.Now()
}
return true
}
func (s *OpenAIGatewayService) handleOpenAIImagesOAuthNonStreamingResponse(
resp *http.Response,
c *gin.Context,
@@ -517,15 +554,9 @@ func (s *OpenAIGatewayService) handleOpenAIImagesOAuthNonStreamingResponse(
}
var usage OpenAIUsage
for _, line := range bytes.Split(body, []byte("\n")) {
line = bytes.TrimRight(line, "\r")
data, ok := extractOpenAISSEDataLine(string(line))
if !ok || data == "" || data == "[DONE]" {
continue
}
dataBytes := []byte(data)
s.parseSSEUsageBytes(dataBytes, &usage)
}
forEachOpenAISSEDataPayload(string(body), func(data []byte) {
s.parseSSEUsageBytes(data, &usage)
})
results, createdAt, usageRaw, firstMeta, _, err := collectOpenAIImagesFromResponsesBody(body)
if err != nil {
return OpenAIUsage{}, 0, err
@@ -570,7 +601,6 @@ func (s *OpenAIGatewayService) handleOpenAIImagesOAuthStreamingResponse(
format = "b64_json"
}
reader := bufio.NewReader(resp.Body)
usage := OpenAIUsage{}
imageCount := 0
var firstTokenMs *int
@@ -579,141 +609,307 @@ func (s *OpenAIGatewayService) handleOpenAIImagesOAuthStreamingResponse(
pendingSeen := make(map[string]struct{})
streamMeta := openAIResponsesImageResult{Model: strings.TrimSpace(fallbackModel)}
var createdAt int64
clientDisconnected := false
lastDownstreamWriteAt := time.Now()
var sseData openAISSEDataAccumulator
var processDataErr error
processDataDone := false
processData := func(dataBytes []byte) {
if processDataDone || processDataErr != nil {
return
}
if firstTokenMs == nil {
ms := int(time.Since(startTime).Milliseconds())
firstTokenMs = &ms
}
s.parseSSEUsageBytes(dataBytes, &usage)
if !gjson.ValidBytes(dataBytes) {
return
}
if meta, eventCreatedAt, ok := extractOpenAIResponsesImageMetaFromLifecycleEvent(dataBytes); ok {
mergeOpenAIResponsesImageMeta(&streamMeta, meta)
if eventCreatedAt > 0 {
createdAt = eventCreatedAt
}
}
switch gjson.GetBytes(dataBytes, "type").String() {
case "response.image_generation_call.partial_image":
b64 := strings.TrimSpace(gjson.GetBytes(dataBytes, "partial_image_b64").String())
if b64 == "" {
return
}
eventName := streamPrefix + ".partial_image"
partialMeta := streamMeta
mergeOpenAIResponsesImageMeta(&partialMeta, openAIResponsesImageResult{
OutputFormat: strings.TrimSpace(gjson.GetBytes(dataBytes, "output_format").String()),
Background: strings.TrimSpace(gjson.GetBytes(dataBytes, "background").String()),
})
payload := buildOpenAIImagesStreamPartialPayload(
eventName,
b64,
gjson.GetBytes(dataBytes, "partial_image_index").Int(),
format,
createdAt,
partialMeta,
)
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, eventName, payload)
case "response.output_item.done":
img, itemID, ok, extractErr := extractOpenAIImageFromResponsesOutputItemDone(dataBytes)
if extractErr != nil {
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, "error", buildOpenAIImagesStreamErrorBody(extractErr.Error()))
processDataErr = extractErr
processDataDone = true
return
}
if !ok {
return
}
mergeOpenAIResponsesImageMeta(&streamMeta, img)
mergeOpenAIResponsesImageMeta(&img, streamMeta)
key := openAIResponsesImageResultKey(itemID, img)
if _, exists := emitted[key]; exists {
return
}
if _, exists := pendingSeen[key]; exists {
return
}
pendingSeen[key] = struct{}{}
pendingResults = append(pendingResults, img)
case "response.completed":
results, _, usageRaw, firstMeta, extractErr := extractOpenAIImagesFromResponsesCompleted(dataBytes)
if extractErr != nil {
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, "error", buildOpenAIImagesStreamErrorBody(extractErr.Error()))
processDataErr = extractErr
processDataDone = true
return
}
mergeOpenAIResponsesImageMeta(&streamMeta, firstMeta)
finalResults := make([]openAIResponsesImageResult, 0, len(results)+len(pendingResults))
finalSeen := make(map[string]struct{})
for _, img := range results {
mergeOpenAIResponsesImageMeta(&img, streamMeta)
appendOpenAIResponsesImageResultDedup(&finalResults, finalSeen, "", img)
}
for _, img := range pendingResults {
mergeOpenAIResponsesImageMeta(&img, streamMeta)
appendOpenAIResponsesImageResultDedup(&finalResults, finalSeen, "", img)
}
if len(finalResults) == 0 {
outputErr := fmt.Errorf("upstream did not return image output")
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, "error", buildOpenAIImagesStreamErrorBody(outputErr.Error()))
processDataErr = outputErr
processDataDone = true
return
}
eventName := streamPrefix + ".completed"
for _, img := range finalResults {
key := openAIResponsesImageResultKey("", img)
if _, exists := emitted[key]; exists {
continue
}
payload := buildOpenAIImagesStreamCompletedPayload(eventName, img, format, createdAt, usageRaw)
emitted[key] = struct{}{}
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, eventName, payload)
}
imageCount = len(emitted)
processDataDone = true
}
}
processLine := func(line []byte) (bool, error) {
if len(line) == 0 {
return false, nil
}
sseData.AddLine(string(line), processData)
if processDataErr != nil {
return true, processDataErr
}
return processDataDone, nil
}
flushData := func() (bool, error) {
sseData.Flush(processData)
if processDataErr != nil {
return true, processDataErr
}
return processDataDone, nil
}
finalizePending := func() error {
if imageCount > 0 {
return nil
}
if len(pendingResults) > 0 {
eventName := streamPrefix + ".completed"
for _, img := range pendingResults {
mergeOpenAIResponsesImageMeta(&img, streamMeta)
key := openAIResponsesImageResultKey("", img)
if _, exists := emitted[key]; exists {
continue
}
payload := buildOpenAIImagesStreamCompletedPayload(eventName, img, format, createdAt, nil)
emitted[key] = struct{}{}
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, eventName, payload)
}
imageCount = len(emitted)
return nil
}
streamErr := fmt.Errorf("stream disconnected before image generation completed")
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, "error", buildOpenAIImagesStreamErrorBody(streamErr.Error()))
return streamErr
}
streamInterval := s.openAIImageStreamDataInterval()
keepaliveInterval := s.openAIImageStreamKeepaliveInterval()
if streamInterval <= 0 && keepaliveInterval <= 0 {
reader := bufio.NewReader(resp.Body)
for {
line, err := reader.ReadBytes('\n')
done, processErr := processLine(line)
if processErr != nil {
return usage, imageCount, firstTokenMs, processErr
}
if done {
return usage, imageCount, firstTokenMs, nil
}
if err == io.EOF {
break
}
if err != nil {
if done, processErr := flushData(); processErr != nil {
return usage, imageCount, firstTokenMs, processErr
} else if done {
return usage, imageCount, firstTokenMs, nil
}
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, "error", buildOpenAIImagesStreamErrorBody(err.Error()))
return usage, imageCount, firstTokenMs, err
}
}
if done, processErr := flushData(); processErr != nil {
return usage, imageCount, firstTokenMs, processErr
} else if done {
return usage, imageCount, firstTokenMs, nil
}
if err := finalizePending(); err != nil {
return usage, imageCount, firstTokenMs, err
}
return usage, imageCount, firstTokenMs, nil
}
type readEvent struct {
line []byte
err error
}
events := make(chan readEvent, 16)
done := make(chan struct{})
sendEvent := func(ev readEvent) bool {
select {
case events <- ev:
return true
case <-done:
return false
}
}
var lastReadAt int64
atomic.StoreInt64(&lastReadAt, time.Now().UnixNano())
go func() {
defer close(events)
reader := bufio.NewReader(resp.Body)
for {
line, err := reader.ReadBytes('\n')
if len(line) > 0 {
atomic.StoreInt64(&lastReadAt, time.Now().UnixNano())
}
if len(line) > 0 && !sendEvent(readEvent{line: line}) {
return
}
if err == io.EOF {
return
}
if err != nil {
_ = sendEvent(readEvent{err: err})
return
}
}
}()
defer close(done)
var intervalTicker *time.Ticker
if streamInterval > 0 {
intervalTicker = time.NewTicker(streamInterval)
defer intervalTicker.Stop()
}
var intervalCh <-chan time.Time
if intervalTicker != nil {
intervalCh = intervalTicker.C
}
var keepaliveTicker *time.Ticker
if keepaliveInterval > 0 {
keepaliveTicker = time.NewTicker(keepaliveInterval)
defer keepaliveTicker.Stop()
}
var keepaliveCh <-chan time.Time
if keepaliveTicker != nil {
keepaliveCh = keepaliveTicker.C
}
for {
line, err := reader.ReadBytes('\n')
if len(line) > 0 {
trimmedLine := strings.TrimRight(string(line), "\r\n")
data, ok := extractOpenAISSEDataLine(trimmedLine)
if ok && data != "" && data != "[DONE]" {
if firstTokenMs == nil {
ms := int(time.Since(startTime).Milliseconds())
firstTokenMs = &ms
select {
case ev, ok := <-events:
if !ok {
if done, processErr := flushData(); processErr != nil {
return usage, imageCount, firstTokenMs, processErr
} else if done {
return usage, imageCount, firstTokenMs, nil
}
dataBytes := []byte(data)
s.parseSSEUsageBytes(dataBytes, &usage)
if gjson.ValidBytes(dataBytes) {
if meta, eventCreatedAt, ok := extractOpenAIResponsesImageMetaFromLifecycleEvent(dataBytes); ok {
mergeOpenAIResponsesImageMeta(&streamMeta, meta)
if eventCreatedAt > 0 {
createdAt = eventCreatedAt
}
}
switch gjson.GetBytes(dataBytes, "type").String() {
case "response.image_generation_call.partial_image":
b64 := strings.TrimSpace(gjson.GetBytes(dataBytes, "partial_image_b64").String())
if b64 != "" {
eventName := streamPrefix + ".partial_image"
partialMeta := streamMeta
mergeOpenAIResponsesImageMeta(&partialMeta, openAIResponsesImageResult{
OutputFormat: strings.TrimSpace(gjson.GetBytes(dataBytes, "output_format").String()),
Background: strings.TrimSpace(gjson.GetBytes(dataBytes, "background").String()),
})
payload := buildOpenAIImagesStreamPartialPayload(
eventName,
b64,
gjson.GetBytes(dataBytes, "partial_image_index").Int(),
format,
createdAt,
partialMeta,
)
if writeErr := s.writeOpenAIImagesStreamEvent(c, flusher, eventName, payload); writeErr != nil {
return OpenAIUsage{}, imageCount, firstTokenMs, writeErr
}
}
case "response.output_item.done":
img, itemID, ok, extractErr := extractOpenAIImageFromResponsesOutputItemDone(dataBytes)
if extractErr != nil {
_ = s.writeOpenAIImagesStreamEvent(c, flusher, "error", buildOpenAIImagesStreamErrorBody(extractErr.Error()))
return OpenAIUsage{}, imageCount, firstTokenMs, extractErr
}
if !ok {
break
}
mergeOpenAIResponsesImageMeta(&streamMeta, img)
mergeOpenAIResponsesImageMeta(&img, streamMeta)
key := openAIResponsesImageResultKey(itemID, img)
if _, exists := emitted[key]; exists {
break
}
if _, exists := pendingSeen[key]; exists {
break
}
pendingSeen[key] = struct{}{}
pendingResults = append(pendingResults, img)
case "response.completed":
results, _, usageRaw, firstMeta, extractErr := extractOpenAIImagesFromResponsesCompleted(dataBytes)
if extractErr != nil {
_ = s.writeOpenAIImagesStreamEvent(c, flusher, "error", buildOpenAIImagesStreamErrorBody(extractErr.Error()))
return OpenAIUsage{}, imageCount, firstTokenMs, extractErr
}
mergeOpenAIResponsesImageMeta(&streamMeta, firstMeta)
finalResults := make([]openAIResponsesImageResult, 0, len(results)+len(pendingResults))
finalSeen := make(map[string]struct{})
for _, img := range results {
mergeOpenAIResponsesImageMeta(&img, streamMeta)
appendOpenAIResponsesImageResultDedup(&finalResults, finalSeen, "", img)
}
for _, img := range pendingResults {
mergeOpenAIResponsesImageMeta(&img, streamMeta)
appendOpenAIResponsesImageResultDedup(&finalResults, finalSeen, "", img)
}
if len(finalResults) == 0 {
err = fmt.Errorf("upstream did not return image output")
_ = s.writeOpenAIImagesStreamEvent(c, flusher, "error", buildOpenAIImagesStreamErrorBody(err.Error()))
return OpenAIUsage{}, imageCount, firstTokenMs, err
}
eventName := streamPrefix + ".completed"
for _, img := range finalResults {
key := openAIResponsesImageResultKey("", img)
if _, exists := emitted[key]; exists {
continue
}
payload := buildOpenAIImagesStreamCompletedPayload(eventName, img, format, createdAt, usageRaw)
if writeErr := s.writeOpenAIImagesStreamEvent(c, flusher, eventName, payload); writeErr != nil {
return OpenAIUsage{}, imageCount, firstTokenMs, writeErr
}
emitted[key] = struct{}{}
}
imageCount = len(emitted)
return usage, imageCount, firstTokenMs, nil
}
if err := finalizePending(); err != nil {
return usage, imageCount, firstTokenMs, err
}
return usage, imageCount, firstTokenMs, nil
}
}
if err == io.EOF {
break
}
if err != nil {
_ = s.writeOpenAIImagesStreamEvent(c, flusher, "error", buildOpenAIImagesStreamErrorBody(err.Error()))
return OpenAIUsage{}, imageCount, firstTokenMs, err
}
}
if imageCount > 0 {
return usage, imageCount, firstTokenMs, nil
}
if len(pendingResults) > 0 {
eventName := streamPrefix + ".completed"
for _, img := range pendingResults {
mergeOpenAIResponsesImageMeta(&img, streamMeta)
key := openAIResponsesImageResultKey("", img)
if _, exists := emitted[key]; exists {
if ev.err != nil {
if done, processErr := flushData(); processErr != nil {
return usage, imageCount, firstTokenMs, processErr
} else if done {
return usage, imageCount, firstTokenMs, nil
}
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, "error", buildOpenAIImagesStreamErrorBody(ev.err.Error()))
return usage, imageCount, firstTokenMs, ev.err
}
done, processErr := processLine(ev.line)
if processErr != nil {
return usage, imageCount, firstTokenMs, processErr
}
if done {
return usage, imageCount, firstTokenMs, nil
}
case <-intervalCh:
lastRead := time.Unix(0, atomic.LoadInt64(&lastReadAt))
if time.Since(lastRead) < streamInterval {
continue
}
payload := buildOpenAIImagesStreamCompletedPayload(eventName, img, format, createdAt, nil)
if writeErr := s.writeOpenAIImagesStreamEvent(c, flusher, eventName, payload); writeErr != nil {
return OpenAIUsage{}, imageCount, firstTokenMs, writeErr
if clientDisconnected {
return usage, imageCount, firstTokenMs, fmt.Errorf("image stream incomplete after timeout")
}
emitted[key] = struct{}{}
logger.LegacyPrintf("service.openai_gateway", "[OpenAI] Images responses stream data interval timeout: interval=%s", streamInterval)
s.tryWriteOpenAIImagesStreamEvent(c, flusher, &clientDisconnected, &lastDownstreamWriteAt, "error", buildOpenAIImagesStreamErrorBody(fmt.Sprintf("upstream image stream idle for %s", streamInterval)))
return usage, imageCount, firstTokenMs, fmt.Errorf("image stream data interval timeout")
case <-keepaliveCh:
if clientDisconnected || time.Since(lastDownstreamWriteAt) < keepaliveInterval {
continue
}
if _, writeErr := io.WriteString(c.Writer, ":\n\n"); writeErr != nil {
clientDisconnected = true
logger.LegacyPrintf("service.openai_gateway", "[OpenAI] Images responses stream client disconnected during keepalive, continue draining upstream for billing")
continue
}
flusher.Flush()
lastDownstreamWriteAt = time.Now()
}
imageCount = len(emitted)
return usage, imageCount, firstTokenMs, nil
}
streamErr := fmt.Errorf("stream disconnected before image generation completed")
_ = s.writeOpenAIImagesStreamEvent(c, flusher, "error", buildOpenAIImagesStreamErrorBody(streamErr.Error()))
return OpenAIUsage{}, imageCount, firstTokenMs, streamErr
}
func (s *OpenAIGatewayService) forwardOpenAIImagesOAuth(
@@ -752,7 +948,10 @@ func (s *OpenAIGatewayService) forwardOpenAIImagesOAuth(
)
}
token, _, err := s.GetAccessToken(ctx, account)
upstreamCtx, releaseUpstreamCtx := detachStreamUpstreamContext(ctx, parsed.Stream)
defer releaseUpstreamCtx()
token, _, err := s.GetAccessToken(upstreamCtx, account)
if err != nil {
return nil, err
}
@@ -763,7 +962,7 @@ func (s *OpenAIGatewayService) forwardOpenAIImagesOAuth(
}
setOpsUpstreamRequestBody(c, responsesBody)
upstreamReq, err := s.buildUpstreamRequest(ctx, c, account, responsesBody, token, true, parsed.StickySessionSeed(), false)
upstreamReq, err := s.buildUpstreamRequest(upstreamCtx, c, account, responsesBody, token, true, parsed.StickySessionSeed(), false)
if err != nil {
return nil, err
}
@@ -808,14 +1007,14 @@ func (s *OpenAIGatewayService) forwardOpenAIImagesOAuth(
Kind: "failover",
Message: upstreamMsg,
})
s.handleFailoverSideEffects(ctx, resp, account)
s.handleFailoverSideEffects(upstreamCtx, resp, account)
return nil, &UpstreamFailoverError{
StatusCode: resp.StatusCode,
ResponseBody: respBody,
RetryableOnSameAccount: account.IsPoolMode() && isPoolModeRetryableStatus(resp.StatusCode),
}
}
return s.handleErrorResponse(ctx, resp, c, account, responsesBody)
return s.handleErrorResponse(upstreamCtx, resp, c, account, responsesBody)
}
defer func() { _ = resp.Body.Close() }()
@@ -827,6 +1026,20 @@ func (s *OpenAIGatewayService) forwardOpenAIImagesOAuth(
if parsed.Stream {
usage, imageCount, firstTokenMs, err = s.handleOpenAIImagesOAuthStreamingResponse(resp, c, startTime, parsed.ResponseFormat, openAIImagesStreamPrefix(parsed), requestModel)
if err != nil {
if imageCount > 0 {
return &OpenAIForwardResult{
RequestID: resp.Header.Get("x-request-id"),
Usage: usage,
Model: requestModel,
UpstreamModel: requestModel,
Stream: parsed.Stream,
ResponseHeaders: resp.Header.Clone(),
Duration: time.Since(startTime),
FirstTokenMs: firstTokenMs,
ImageCount: imageCount,
ImageSize: parsed.SizeTier,
}, err
}
return nil, err
}
} else {