Sub2API v1.0 - AI API 网关(二开初始版本,基于上游 Wei-Shaw/sub2api)
Release / update-version (push) Has been cancelled
Release / build-frontend (push) Has been cancelled
Release / release (push) Has been cancelled
Release / sync-version-file (push) Has been cancelled
CI / shell (push) Canceled after 0s
CI / test (push) Canceled after 0s
CI / frontend (push) Canceled after 0s
CI / golangci-lint (push) Canceled after 0s
Security Scan / backend-security (push) Canceled after 0s
Security Scan / frontend-security (push) Canceled after 0s

This commit is contained in:
李建琦
2026-08-21 18:30:13 +08:00
commit 6d655c9903
3584 changed files with 1270640 additions and 0 deletions
@@ -0,0 +1,486 @@
package service
// 国产供应商 Anthropic 协议账号的 CC 入站反向路径。
//
// 客户端说 OpenAI Chat Completions、上游是供应商原生 Anthropic 端点
// api_protocol=anthropic)时的交叉组合:请求 CC→Responses→Anthropic 转换,
// 响应 Anthropic→Responses→CC 转换。转换链与 Anthropic 平台的
// gateway_forward_as_chat_completions.go 完全一致(复用同一组 apicompat
// 状态机),仅上游发送/错误处理对齐 OpenAI 网关语义。
import (
"bufio"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"strings"
"time"
"github.com/Wei-Shaw/sub2api/internal/pkg/apicompat"
"github.com/Wei-Shaw/sub2api/internal/pkg/logger"
"github.com/Wei-Shaw/sub2api/internal/util/responseheaders"
"github.com/gin-gonic/gin"
"go.uber.org/zap"
)
// forwardChatCompletionsViaNativeAnthropic serves OpenAI /v1/chat/completions
// clients through a CN provider's native Anthropic endpoint.
//
// Conversion chain:
//
// Request: Chat Completions → Responses → Anthropic (chained)
// Response: Anthropic events → Responses events → CC chunks (chained state machines)
func (s *OpenAIGatewayService) forwardChatCompletionsViaNativeAnthropic(
ctx context.Context,
c *gin.Context,
account *Account,
body []byte,
defaultMappedModel string,
) (*OpenAIForwardResult, error) {
startTime := time.Now()
// 1. Parse Chat Completions request
var ccReq apicompat.ChatCompletionsRequest
if err := json.Unmarshal(body, &ccReq); err != nil {
writeChatCompletionsError(c, http.StatusBadRequest, "invalid_request_error", "Failed to parse request body")
return nil, fmt.Errorf("parse chat completions request: %w", err)
}
originalModel := ccReq.Model
if strings.TrimSpace(originalModel) == "" {
writeChatCompletionsError(c, http.StatusBadRequest, "invalid_request_error", "model is required")
return nil, fmt.Errorf("missing model in request")
}
clientStream := ccReq.Stream
includeUsage := ccReq.StreamOptions != nil && ccReq.StreamOptions.IncludeUsage
// 2. Convert CC → Responses → Anthropic (chained conversion)
responsesReq, err := apicompat.ChatCompletionsToResponses(&ccReq)
if err != nil {
writeChatCompletionsError(c, http.StatusBadRequest, "invalid_request_error", "Failed to convert request")
return nil, fmt.Errorf("convert chat completions to responses: %w", err)
}
anthropicReq, err := apicompat.ResponsesToAnthropicRequest(responsesReq)
if err != nil {
writeChatCompletionsError(c, http.StatusBadRequest, "invalid_request_error", "Failed to convert request")
return nil, fmt.Errorf("convert responses to anthropic: %w", err)
}
// 3. Model mappingOpenAI 网关统一入口的映射语义)
billingModel := resolveOpenAIForwardModel(account, originalModel, defaultMappedModel)
upstreamModel := normalizeOpenAIModelForUpstream(account, billingModel)
anthropicReq.Model = upstreamModel
// 4. Force upstream streaming(客户端原始终决定响应格式;
// 上游恒为流式,非流式由缓冲路径组装)。
anthropicReq.Stream = true
reqStream := true
logger.L().Debug("openai chat_completions: forwarding via native anthropic endpoint",
zap.Int64("account_id", account.ID),
zap.String("original_model", originalModel),
zap.String("billing_model", billingModel),
zap.String("upstream_model", upstreamModel),
zap.Bool("client_stream", clientStream),
)
anthropicBody, err := json.Marshal(anthropicReq)
if err != nil {
return nil, fmt.Errorf("marshal anthropic request: %w", err)
}
// 与 /v1/messages 直通路径相同的 pre-filter。
anthropicBody = StripEmptyTextBlocks(anthropicBody)
anthropicBody = FilterWebSearchHistoryBlocks(anthropicBody, upstreamModel)
anthropicBody = enforceCacheControlLimit(anthropicBody)
apiKey := strings.TrimSpace(account.GetOpenAIProtocolAPIKey())
if apiKey == "" {
return nil, fmt.Errorf("account %d missing api_key", account.ID)
}
targetURL, err := s.nativeAnthropicTargetURL(account)
if err != nil {
return nil, err
}
proxyURL := ""
if account.Proxy != nil {
proxyURL = account.Proxy.URL()
}
upstreamCtx, releaseUpstreamCtx := detachStreamUpstreamContext(ctx, reqStream)
upstreamReq, _, err := s.buildNativeAnthropicUpstreamRequest(upstreamCtx, c, account, anthropicBody, apiKey, targetURL)
releaseUpstreamCtx()
if err != nil {
return nil, fmt.Errorf("build upstream request: %w", err)
}
resp, err := s.httpUpstream.Do(upstreamReq, proxyURL, account.ID, account.Concurrency)
if err != nil {
return nil, s.handleOpenAIUpstreamTransportError(ctx, c, account, err, true)
}
defer func() { _ = resp.Body.Close() }()
if resp.StatusCode >= 400 {
respBody, upstreamMsg := s.readOpenAIUpstreamError(resp)
if foErr := s.failoverOpenAIUpstreamHTTPError(ctx, c, account, resp, respBody, upstreamMsg, upstreamModel); foErr != nil {
return nil, foErr
}
writeChatCompletionsError(c, mapUpstreamStatusCode(resp.StatusCode), "server_error", upstreamMsg)
return nil, fmt.Errorf("upstream error: %d %s", resp.StatusCode, upstreamMsg)
}
reasoningEffort := extractCCReasoningEffortFromBody(body)
reasoningEffort = ApplyThinkingEnabledFallback(reasoningEffort, body, billingModel)
if clientStream {
return s.handleCCStreamingFromNativeAnthropic(resp, c, originalModel, billingModel, upstreamModel, reasoningEffort, startTime, includeUsage)
}
return s.handleCCBufferedFromNativeAnthropic(resp, c, originalModel, billingModel, upstreamModel, reasoningEffort, startTime)
}
// handleCCBufferedFromNativeAnthropic reads Anthropic SSE events, assembles the
// full response, then converts Anthropic → Responses → Chat Completions.
func (s *OpenAIGatewayService) handleCCBufferedFromNativeAnthropic(
resp *http.Response,
c *gin.Context,
originalModel string,
billingModel string,
upstreamModel string,
reasoningEffort *string,
startTime time.Time,
) (*OpenAIForwardResult, error) {
requestID := resp.Header.Get("x-request-id")
scanner := bufio.NewScanner(resp.Body)
maxLineSize := defaultMaxLineSize
if s.cfg != nil && s.cfg.Gateway.MaxLineSize > 0 {
maxLineSize = s.cfg.Gateway.MaxLineSize
}
scanner.Buffer(make([]byte, 0, 64*1024), maxLineSize)
var finalResp *apicompat.AnthropicResponse
var usage ClaudeUsage
// 读间隔上限:上游挂住 SSE 时中止组装(缓冲路径尚未提交响应头,可回 502)。
streamInterval := s.anthropicNativeStreamInterval()
pump := newAnthropicNativeLinePump(scanner, streamInterval)
defer pump.stop()
logReadErr := func(err error) {
if !errors.Is(err, io.EOF) && !errors.Is(err, context.Canceled) && !errors.Is(err, context.DeadlineExceeded) {
logger.L().Warn("openai cc via native anthropic buffered: read error",
zap.Error(err),
zap.String("request_id", requestID),
)
}
}
onIdle := func() (*OpenAIForwardResult, error) {
_ = resp.Body.Close()
logger.L().Warn("openai cc via native anthropic buffered: data interval timeout",
zap.String("request_id", requestID),
zap.Duration("interval", streamInterval),
)
writeChatCompletionsError(c, http.StatusBadGateway, "server_error", "Upstream stream data interval timeout")
return nil, fmt.Errorf("stream data interval timeout")
}
for {
line, rerr := pump.next()
if rerr != nil {
if errors.Is(rerr, errAnthropicNativeStreamIdle) {
return onIdle()
}
logReadErr(rerr)
break
}
// SSE 规范允许 `event:xxx`(冒号后无空格):Kimi 等 Anthropic 兼容上游
// 返回紧凑格式,严格匹配 "event: " 会丢弃全部事件(#4653 同根因)。
if _, ok := extractOpenAISSEEventLine(line); !ok {
continue
}
dataLine, rerr := pump.next()
if rerr != nil {
if errors.Is(rerr, errAnthropicNativeStreamIdle) {
return onIdle()
}
logReadErr(rerr)
break
}
payload, ok := extractOpenAISSEDataLine(dataLine)
if !ok {
continue
}
var event apicompat.AnthropicStreamEvent
if err := json.Unmarshal([]byte(payload), &event); err != nil {
continue
}
if event.Type == "message_start" && event.Message != nil {
finalResp = event.Message
mergeAnthropicUsage(&usage, event.Message.Usage)
}
if event.Type == "message_delta" {
if event.Usage != nil {
mergeAnthropicUsage(&usage, *event.Usage)
}
if event.Delta != nil && event.Delta.StopReason != "" && finalResp != nil {
finalResp.StopReason = apicompat.AnthropicStopReasonPtr(event.Delta.StopReason)
}
}
if event.Type == "content_block_start" && event.ContentBlock != nil && finalResp != nil {
finalResp.Content = append(finalResp.Content, *event.ContentBlock)
}
if event.Type == "content_block_delta" && event.Delta != nil && finalResp != nil && event.Index != nil {
idx := *event.Index
if idx < len(finalResp.Content) {
switch event.Delta.Type {
case "text_delta":
finalResp.Content[idx].Text += event.Delta.Text
case "thinking_delta":
finalResp.Content[idx].Thinking += event.Delta.Thinking
case "input_json_delta":
finalResp.Content[idx].Input = appendRawJSON(finalResp.Content[idx].Input, event.Delta.PartialJSON)
}
}
}
}
if finalResp == nil {
writeChatCompletionsError(c, http.StatusBadGateway, "server_error", "Upstream stream ended without a response")
return nil, fmt.Errorf("upstream stream ended without response")
}
if usage.InputTokens > 0 || usage.OutputTokens > 0 {
finalResp.Usage = apicompat.AnthropicUsage{
InputTokens: usage.InputTokens,
OutputTokens: usage.OutputTokens,
CacheCreationInputTokens: usage.CacheCreationInputTokens,
CacheReadInputTokens: usage.CacheReadInputTokens,
}
}
responsesResp := apicompat.AnthropicToResponsesResponse(finalResp)
ccResp := apicompat.ResponsesToChatCompletions(responsesResp, originalModel)
if s.responseHeaderFilter != nil {
responseheaders.WriteFilteredHeaders(c.Writer.Header(), resp.Header, s.responseHeaderFilter)
}
// 非流式响应必须是 application/json(上游被强制流式,透传头会污染)。
c.Writer.Header().Set("Content-Type", "application/json; charset=utf-8")
if respBytes, err := json.Marshal(ccResp); err == nil {
respBytes = reverseToolNamesIfPresent(c, respBytes)
c.Data(http.StatusOK, "application/json; charset=utf-8", respBytes)
} else {
c.JSON(http.StatusOK, ccResp)
}
return &OpenAIForwardResult{
RequestID: requestID,
Usage: claudeUsageToOpenAIUsage(&usage),
Model: originalModel,
BillingModel: billingModel,
UpstreamModel: upstreamModel,
UpstreamEndpoint: "/v1/messages",
ReasoningEffort: reasoningEffort,
Stream: false,
Duration: time.Since(startTime),
}, nil
}
// handleCCStreamingFromNativeAnthropic reads Anthropic SSE events, converts each
// to Responses events, then to Chat Completions chunks, and writes them.
func (s *OpenAIGatewayService) handleCCStreamingFromNativeAnthropic(
resp *http.Response,
c *gin.Context,
originalModel string,
billingModel string,
upstreamModel string,
reasoningEffort *string,
startTime time.Time,
includeUsage bool,
) (*OpenAIForwardResult, error) {
requestID := resp.Header.Get("x-request-id")
if s.responseHeaderFilter != nil {
responseheaders.WriteFilteredHeaders(c.Writer.Header(), resp.Header, s.responseHeaderFilter)
}
c.Writer.Header().Set("Content-Type", "text/event-stream")
c.Writer.Header().Set("Cache-Control", "no-cache")
c.Writer.Header().Set("Connection", "keep-alive")
c.Writer.Header().Set("X-Accel-Buffering", "no")
c.Writer.WriteHeader(http.StatusOK)
anthState := apicompat.NewAnthropicEventToResponsesState()
anthState.Model = originalModel
ccState := apicompat.NewResponsesEventToChatState()
ccState.Model = originalModel
ccState.IncludeUsage = includeUsage
var usage ClaudeUsage
var firstTokenMs *int
firstChunk := true
clientDisconnected := false
scanner := bufio.NewScanner(resp.Body)
maxLineSize := defaultMaxLineSize
if s.cfg != nil && s.cfg.Gateway.MaxLineSize > 0 {
maxLineSize = s.cfg.Gateway.MaxLineSize
}
scanner.Buffer(make([]byte, 0, 64*1024), maxLineSize)
resultWithUsage := func() *OpenAIForwardResult {
return &OpenAIForwardResult{
RequestID: requestID,
Usage: claudeUsageToOpenAIUsage(&usage),
Model: originalModel,
BillingModel: billingModel,
UpstreamModel: upstreamModel,
UpstreamEndpoint: "/v1/messages",
ReasoningEffort: reasoningEffort,
Stream: true,
Duration: time.Since(startTime),
FirstTokenMs: firstTokenMs,
ClientDisconnect: clientDisconnected,
}
}
// 读间隔上限:上游挂住 SSE(不发数据也不断连)时结束排水。上游 ctx 为
// WithoutCancel 且 http.Client 无整体 Timeout,无此界限则客户端断开后
// scanner.Scan() 永久阻塞(见 anthropic native pump 文件注释)。
streamInterval := s.anthropicNativeStreamInterval()
pump := newAnthropicNativeLinePump(scanner, streamInterval)
defer pump.stop()
logReadErr := func(err error) {
if !errors.Is(err, io.EOF) && !errors.Is(err, context.Canceled) && !errors.Is(err, context.DeadlineExceeded) {
logger.L().Warn("openai cc via native anthropic stream: read error",
zap.Error(err),
zap.String("request_id", requestID),
)
}
}
// onIdle 关闭上游连接(解除阻塞的读、归还连接池位),并按已累计 usage
// 返回——与 messages 主路径 "stream usage incomplete after timeout" 同语义。
onIdle := func() (*OpenAIForwardResult, error) {
_ = resp.Body.Close()
if !clientDisconnected {
logger.L().Warn("openai cc via native anthropic stream: data interval timeout",
zap.String("request_id", requestID),
zap.Duration("interval", streamInterval),
)
}
return resultWithUsage(), fmt.Errorf("stream data interval timeout")
}
writeChunk := func(chunk apicompat.ChatCompletionsChunk) bool {
if clientDisconnected {
return false // 已断开:不再写客户端,只排水上游累计 usage
}
sse, err := apicompat.ChatChunkToSSE(chunk)
if err != nil {
return false
}
out := string(reverseToolNamesIfPresent(c, []byte(sse)))
if _, err := fmt.Fprint(c.Writer, out); err != nil {
clientDisconnected = true
return false
}
return false
}
processAnthropicEvent := func(event *apicompat.AnthropicStreamEvent) bool {
if firstChunk {
firstChunk = false
ms := int(time.Since(startTime).Milliseconds())
firstTokenMs = &ms
}
// usage 恒累计(含客户端断开后的排水阶段,payg 上游照常计费)。
if event.Type == "message_delta" && event.Usage != nil {
mergeAnthropicUsage(&usage, *event.Usage)
}
if event.Type == "message_start" && event.Message != nil {
mergeAnthropicUsage(&usage, event.Message.Usage)
}
// 客户端已断开:跳过转换与写出,继续读上游直到流结束(usage 完整、
// 连接及时归还),不再提前 return。
if clientDisconnected {
return false
}
responsesEvents := apicompat.AnthropicEventToResponsesEvents(event, anthState)
for _, resEvt := range responsesEvents {
ccChunks := apicompat.ResponsesEventToChatChunks(&resEvt, ccState)
for _, chunk := range ccChunks {
writeChunk(chunk)
}
}
if len(responsesEvents) > 0 {
c.Writer.Flush()
}
return false
}
for {
line, rerr := pump.next()
if rerr != nil {
if errors.Is(rerr, errAnthropicNativeStreamIdle) {
return onIdle()
}
logReadErr(rerr)
break
}
if _, ok := extractOpenAISSEEventLine(line); !ok {
continue
}
dataLine, rerr := pump.next()
if rerr != nil {
if errors.Is(rerr, errAnthropicNativeStreamIdle) {
return onIdle()
}
// EOF / 读错误:事件行后流终止,进入 finalize。
logReadErr(rerr)
break
}
payload, ok := extractOpenAISSEDataLine(dataLine)
if !ok {
continue
}
var event apicompat.AnthropicStreamEvent
if err := json.Unmarshal([]byte(payload), &event); err != nil {
continue
}
if processAnthropicEvent(&event) {
return resultWithUsage(), nil
}
}
// Finalize both state machines(客户端已断开时仍执行,保证 usage 汇总完整)。
finalResEvents := apicompat.FinalizeAnthropicResponsesStream(anthState)
for _, resEvt := range finalResEvents {
ccChunks := apicompat.ResponsesEventToChatChunks(&resEvt, ccState)
for _, chunk := range ccChunks {
writeChunk(chunk) //nolint:errcheck
}
}
finalCCChunks := apicompat.FinalizeResponsesChatStream(ccState)
for _, chunk := range finalCCChunks {
writeChunk(chunk) //nolint:errcheck
}
if !clientDisconnected {
fmt.Fprint(c.Writer, "data: [DONE]\n\n") //nolint:errcheck
c.Writer.Flush()
}
return resultWithUsage(), nil
}