Files
new-api/relay/channel/openai/audio.go
T
Calcium-Ion 86ac0f7745 refactor: extract protocol conversion layer into standalone relaykit module (#6369)
* test(relayconvert): add golden snapshot matrix and relaykit boundary guard

Phase 0 of the relaykit extraction plan: pin byte-level output of every
registered (from,to) request/response/stream conversion route, and
forbid kit-bound packages from growing host-only imports.

* wip(relayconvert): drop gin.Context from converter signatures; add convmeta draft

Phase 1 in progress: relayconvert now takes context.Context; host media
resolver adapts gin.Context back at the service boundary.

* refactor(relayconvert): decouple converters from RelayInfo, gin, and settings

Phase 1 of the relaykit extraction plan:
- converters now depend on convmeta.Meta (implemented by RelayInfo) instead
  of *relaycommon.RelayInfo; ClaudeConvertInfo and the format guesser move
  to convmeta with aliases left behind
- host settings reach converters via a convmeta.Options snapshot built in
  RelayInfo.ConvOptions; no more model_setting/reasoning global reads inside
  the conversion layer
- effort-suffix helpers move to service/relayconvert/reasoning (old package
  forwards); chat-to-responses upgrade policy moves to service (host routing
  logic, not conversion)
- golden conversion matrix unchanged

* test(relayconvert): tighten boundary — kit packages now free of gin/setting imports

* refactor(dto): drop gin and logger dependencies

Phase 2 (part 1): dto.Request.IsStream now takes *http.Request instead of
*gin.Context (Gemini's impl reads query/path off the std request); dto's
three logger calls become common.SysError. Boundary test allowlist is now
empty — kit-bound packages import no gin/setting/logger/model.

* refactor(kit): extract dependency-free kitutil; dto/types/relayconvert stop importing common

Phase 2 of the relaykit extraction plan:
- new service/relayconvert/kitutil holds the pure helpers the kit needs
  (JSON wrappers, pointer/string/uuid/timestamp utils, MaskSensitiveInfo,
  pluggable LogInfo/LogError hooks, Debug flag)
- dto, types, and all relayconvert packages now use kitutil; their only
  remaining internal deps are dto/types/constant
- common keeps every original symbol (MaskSensitiveInfo delegates to
  kitutil) so host code is untouched; main.go routes kit logging into
  common.SysLog/SysError and mirrors DebugEnabled
- golden conversion matrix unchanged

* refactor(kit): move EndpointType/FinishReason to types; OpenRouter dialect via Options

Kit packages (dto/types/relayconvert/reasonmap) no longer import constant:
- EndpointType and finish-reason values live in types; constant re-exports
- the OpenRouter special-case in claude->openai request conversion reads
  Options.OpenRouterDialect, set by the host from the channel type;
  InitChannelMeta invalidates the cached snapshot on channel switch

* refactor: extract relaykit submodule (dto/types/relayconvert/reasonmap)

Phase 3 of the relaykit extraction plan:
- new go module github.com/QuantumNous/new-api/relaykit containing dto
  (minus task family), types, relayconvert (with convmeta/kitutil/reasoning),
  and reasonmap; host consumes it via require + replace, go.work for dev
- task-family dto (task/suno/midjourney/video) stays in the host dto
  package; dual-consumer host files alias it as taskdto
- relaykit builds and tests standalone (GOWORK=off): no host imports,
  no gin, no DB, no settings
- golden conversion matrix unchanged

* build(docker): copy relaykit/go.mod before go mod download

The local-replace submodule's go.mod must exist inside the build context
for the main module graph to resolve.

* fix: address relaykit extraction regressions

* fix: address relaykit review regressions

* docs: document Meta nil receiver contract

* fix(relaykit): fail OpenAI→Claude conversion without max_tokens; reject negative default_max_tokens

The Claude Messages API requires max_tokens (omitting it is a 400
"Field required"), but with a nil Options.Claude.DefaultMaxTokens hook
the converters silently emitted a request the upstream is guaranteed to
reject. Both OpenAI Chat and Responses → Claude conversions now return
sharedclaude.ErrMissingMaxTokens when no path (client value, default
hook, thinking-adapter floor) supplied one. Unreachable in the host,
which always configures the hook.

Host side, claude.default_max_tokens now rejects negative values at the
option API before persisting — they would wrap into huge unsigned values
during conversion. Zero stays allowed: the current API treats
max_tokens: 0 as cache pre-warming.

* fix: make Gemini safety settings read path race-free
2026-07-27 15:56:21 +08:00

150 lines
5.3 KiB
Go

package openai
import (
"bytes"
"fmt"
"io"
"math"
"net/http"
"github.com/QuantumNous/new-api/common"
"github.com/QuantumNous/new-api/constant"
"github.com/QuantumNous/new-api/logger"
relaycommon "github.com/QuantumNous/new-api/relay/common"
"github.com/QuantumNous/new-api/relay/helper"
"github.com/QuantumNous/new-api/relaykit/dto"
"github.com/QuantumNous/new-api/relaykit/types"
"github.com/QuantumNous/new-api/service"
"github.com/gin-gonic/gin"
)
func OpenaiTTSHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) *dto.Usage {
// the status code has been judged before, if there is a body reading failure,
// it should be regarded as a non-recoverable error, so it should not return err for external retry.
// Analogous to nginx's load balancing, it will only retry if it can't be requested or
// if the upstream returns a specific status code, once the upstream has already written the header,
// the subsequent failure of the response body should be regarded as a non-recoverable error,
// and can be terminated directly.
defer service.CloseResponseBodyGracefully(resp)
usage := &dto.Usage{}
usage.PromptTokens = info.GetEstimatePromptTokens()
usage.TotalTokens = info.GetEstimatePromptTokens()
for k, v := range resp.Header {
if !service.ShouldCopyUpstreamHeader(c, k, v) {
continue
}
c.Writer.Header().Set(k, v[0])
}
c.Writer.WriteHeader(resp.StatusCode)
if info.IsStream {
helper.StreamScannerHandler(c, resp, info, func(data string, sr *helper.StreamResult) {
if service.SundaySearch(data, "usage") {
var simpleResponse dto.SimpleResponse
if err := common.Unmarshal([]byte(data), &simpleResponse); err != nil {
logger.LogError(c, err.Error())
sr.Error(err)
} else if simpleResponse.Usage.TotalTokens != 0 {
usage.PromptTokens = simpleResponse.Usage.InputTokens
usage.CompletionTokens = simpleResponse.OutputTokens
usage.TotalTokens = simpleResponse.TotalTokens
}
}
if err := helper.StringData(c, data); err != nil {
sr.Error(err)
}
})
} else {
common.SetContextKey(c, constant.ContextKeyLocalCountTokens, true)
// 读取响应体到缓冲区
bodyBytes, err := io.ReadAll(resp.Body)
if err != nil {
logger.LogError(c, fmt.Sprintf("failed to read TTS response body: %v", err))
c.Writer.WriteHeaderNow()
return usage
}
// 写入响应到客户端
c.Writer.WriteHeaderNow()
_, err = c.Writer.Write(bodyBytes)
if err != nil {
logger.LogError(c, fmt.Sprintf("failed to write TTS response: %v", err))
}
// 计算音频时长并更新 usage
audioFormat := "mp3" // 默认格式
if audioReq, ok := info.Request.(*dto.AudioRequest); ok && audioReq.ResponseFormat != "" {
audioFormat = audioReq.ResponseFormat
}
var duration float64
var durationErr error
if audioFormat == "pcm" {
// PCM 格式没有文件头,根据 OpenAI TTS 的 PCM 参数计算时长
// 采样率: 24000 Hz, 位深度: 16-bit (2 bytes), 声道数: 1
const sampleRate = 24000
const bytesPerSample = 2
const channels = 1
duration = float64(len(bodyBytes)) / float64(sampleRate*bytesPerSample*channels)
} else {
ext := "." + audioFormat
reader := bytes.NewReader(bodyBytes)
duration, durationErr = common.GetAudioDuration(c.Request.Context(), reader, ext)
}
usage.PromptTokensDetails.TextTokens = usage.PromptTokens
if durationErr != nil {
logger.LogWarn(c, fmt.Sprintf("failed to get audio duration: %v", durationErr))
// 如果无法获取时长,则设置保底的 CompletionTokens,根据body大小计算
sizeInKB := float64(len(bodyBytes)) / 1000.0
estimatedTokens := int(math.Ceil(sizeInKB)) // 粗略估算每KB约等于1 token
usage.CompletionTokens = estimatedTokens
usage.CompletionTokenDetails.AudioTokens = estimatedTokens
} else if duration > 0 {
// 计算 token: ceil(duration) / 60.0 * 1000,即每分钟 1000 tokens。
// duration 解析自上游返回的音频元数据,饱和转换防止 int 回绕。
completionTokens := common.QuotaRound(math.Ceil(duration) / 60.0 * 1000)
usage.CompletionTokens = completionTokens
usage.CompletionTokenDetails.AudioTokens = completionTokens
}
usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
}
return usage
}
func OpenaiSTTHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo, responseFormat string) (*types.NewAPIError, *dto.Usage) {
defer service.CloseResponseBodyGracefully(resp)
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return types.NewOpenAIError(err, types.ErrorCodeReadResponseBodyFailed, http.StatusInternalServerError), nil
}
// 写入新的 response body
service.IOCopyBytesGracefully(c, resp, responseBody)
var responseData struct {
Usage *dto.Usage `json:"usage"`
}
if err := common.Unmarshal(responseBody, &responseData); err == nil && responseData.Usage != nil {
if responseData.Usage.TotalTokens > 0 {
usage := responseData.Usage
if usage.PromptTokens == 0 {
usage.PromptTokens = usage.InputTokens
}
if usage.CompletionTokens == 0 {
usage.CompletionTokens = usage.OutputTokens
}
return nil, usage
}
}
usage := &dto.Usage{}
usage.PromptTokens = info.GetEstimatePromptTokens()
usage.CompletionTokens = 0
usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens
return nil, usage
}