472 lines
15 KiB
Go
472 lines
15 KiB
Go
package handlers
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import (
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"context"
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"cursor-api-proxy/internal/agent"
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"cursor-api-proxy/internal/config"
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"cursor-api-proxy/internal/httputil"
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"cursor-api-proxy/internal/logger"
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"cursor-api-proxy/internal/models"
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"cursor-api-proxy/internal/openai"
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"cursor-api-proxy/internal/parser"
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"cursor-api-proxy/internal/pool"
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"cursor-api-proxy/internal/sanitize"
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"cursor-api-proxy/internal/toolcall"
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"cursor-api-proxy/internal/winlimit"
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"cursor-api-proxy/internal/workspace"
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"encoding/json"
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"fmt"
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"net/http"
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"regexp"
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"strconv"
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"strings"
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"time"
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"github.com/google/uuid"
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)
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var rateLimitRe = regexp.MustCompile(`(?i)\b429\b|rate.?limit|too many requests`)
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var retryAfterRe = regexp.MustCompile(`(?i)retry-after:\s*(\d+)`)
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func isRateLimited(stderr string) bool {
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return rateLimitRe.MatchString(stderr)
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}
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func extractRetryAfterMs(stderr string) int64 {
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if m := retryAfterRe.FindStringSubmatch(stderr); len(m) > 1 {
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if secs, err := strconv.ParseInt(m[1], 10, 64); err == nil && secs > 0 {
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return secs * 1000
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}
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}
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return 60000
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}
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func HandleChatCompletions(w http.ResponseWriter, r *http.Request, cfg config.BridgeConfig, ph pool.PoolHandle, lastModelRef *string, rawBody, method, pathname, remoteAddress string) {
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var bodyMap map[string]interface{}
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if err := json.Unmarshal([]byte(rawBody), &bodyMap); err != nil {
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httputil.WriteJSON(w, 400, map[string]interface{}{
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"error": map[string]string{"message": "invalid JSON body", "code": "bad_request"},
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}, nil)
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return
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}
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rawModel, _ := bodyMap["model"].(string)
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requested := openai.NormalizeModelID(rawModel)
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model := ResolveModel(requested, lastModelRef, cfg)
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cursorModel := models.ResolveToCursorModel(model)
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if cursorModel == "" {
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cursorModel = model
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}
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var messages []interface{}
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if m, ok := bodyMap["messages"].([]interface{}); ok {
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messages = m
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}
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var tools []interface{}
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if t, ok := bodyMap["tools"].([]interface{}); ok {
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tools = t
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}
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var funcs []interface{}
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if f, ok := bodyMap["functions"].([]interface{}); ok {
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funcs = f
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}
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cleanMessages := sanitize.SanitizeMessages(messages)
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toolsText := openai.ToolsToSystemText(tools, funcs)
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messagesWithTools := cleanMessages
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if toolsText != "" {
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messagesWithTools = append([]interface{}{map[string]interface{}{"role": "system", "content": toolsText}}, cleanMessages...)
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}
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prompt := openai.BuildPromptFromMessages(messagesWithTools)
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var trafficMsgs []logger.TrafficMessage
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for _, raw := range cleanMessages {
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if m, ok := raw.(map[string]interface{}); ok {
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role, _ := m["role"].(string)
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content := openai.MessageContentToText(m["content"])
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trafficMsgs = append(trafficMsgs, logger.TrafficMessage{Role: role, Content: content})
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}
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}
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isStream := false
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if s, ok := bodyMap["stream"].(bool); ok {
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isStream = s
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}
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logger.LogTrafficRequest(cfg.Verbose, model, trafficMsgs, isStream)
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headerWs := r.Header.Get("x-cursor-workspace")
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ws := workspace.ResolveWorkspace(cfg, headerWs)
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promptLen := len(prompt)
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if cfg.Verbose {
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if promptLen > 200 {
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logger.LogDebug("model=%s prompt_len=%d prompt_start=%q", cursorModel, promptLen, prompt[:200])
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} else {
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logger.LogDebug("model=%s prompt_len=%d prompt=%q", cursorModel, promptLen, prompt)
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}
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}
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fixedArgs := agent.BuildAgentFixedArgs(cfg, ws.WorkspaceDir, cursorModel, isStream)
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fit := winlimit.FitPromptToWinCmdline(cfg.AgentBin, fixedArgs, prompt, cfg.WinCmdlineMax, ws.WorkspaceDir)
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if cfg.Verbose {
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logger.LogDebug("cmd=%s args=%v", cfg.AgentBin, fit.Args)
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}
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if !fit.OK {
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httputil.WriteJSON(w, 500, map[string]interface{}{
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"error": map[string]string{"message": fit.Error, "code": "windows_cmdline_limit"},
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}, nil)
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return
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}
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if fit.Truncated {
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logger.LogTruncation(fit.OriginalLength, fit.FinalPromptLength)
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}
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cmdArgs := fit.Args
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id := "chatcmpl_" + uuid.New().String()
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created := time.Now().Unix()
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var truncatedHeaders map[string]string
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if fit.Truncated {
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truncatedHeaders = map[string]string{"X-Cursor-Proxy-Prompt-Truncated": "true"}
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}
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hasTools := len(tools) > 0 || len(funcs) > 0
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var toolNames map[string]bool
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if hasTools {
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toolNames = toolcall.CollectToolNames(tools)
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for _, f := range funcs {
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if fm, ok := f.(map[string]interface{}); ok {
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if name, ok := fm["name"].(string); ok {
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toolNames[name] = true
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}
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}
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}
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}
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if isStream {
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httputil.WriteSSEHeaders(w, truncatedHeaders)
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flusher, _ := w.(http.Flusher)
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var accumulated string
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var chunkNum int
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var p parser.Parser
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// toolCallMarkerRe 偵測 tool call 開頭標記，一旦出現就停止即時輸出並進入累積模式
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toolCallMarkerRe := regexp.MustCompile(`<tool_call>|<function_calls>`)
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if hasTools {
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var toolCallMode bool // 是否已進入 tool call 累積模式
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p = parser.CreateStreamParserWithThinking(
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func(text string) {
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accumulated += text
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chunkNum++
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logger.LogStreamChunk(model, text, chunkNum)
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if toolCallMode {
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// 已進入累積模式，不即時輸出
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return
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}
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if toolCallMarkerRe.MatchString(text) {
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// 偵測到 tool call 標記，切換為累積模式
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toolCallMode = true
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return
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}
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chunk := map[string]interface{}{
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"id": id, "object": "chat.completion.chunk", "created": created, "model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "delta": map[string]string{"content": text}, "finish_reason": nil},
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},
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}
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data, _ := json.Marshal(chunk)
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fmt.Fprintf(w, "data: %s\n\n", data)
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if flusher != nil {
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flusher.Flush()
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}
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},
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func(_ string) {}, // thinking ignored in tools mode
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func() {
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logger.LogTrafficResponse(cfg.Verbose, model, accumulated, true)
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parsed := toolcall.ExtractToolCalls(accumulated, toolNames)
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if parsed.HasToolCalls() {
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if parsed.TextContent != "" && toolCallMode {
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// 已有部分 text 被即時輸出，只補發剩餘的
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chunk := map[string]interface{}{
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"id": id, "object": "chat.completion.chunk", "created": created, "model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "delta": map[string]interface{}{"role": "assistant", "content": parsed.TextContent}, "finish_reason": nil},
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},
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}
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data, _ := json.Marshal(chunk)
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fmt.Fprintf(w, "data: %s\n\n", data)
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if flusher != nil {
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flusher.Flush()
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}
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}
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for i, tc := range parsed.ToolCalls {
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callID := "call_" + uuid.New().String()[:8]
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chunk := map[string]interface{}{
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"id": id, "object": "chat.completion.chunk", "created": created, "model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "delta": map[string]interface{}{
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"tool_calls": []map[string]interface{}{
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{
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"index": i,
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"id": callID,
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"type": "function",
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"function": map[string]interface{}{
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"name": tc.Name,
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"arguments": tc.Arguments,
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},
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},
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},
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}, "finish_reason": nil},
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},
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}
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data, _ := json.Marshal(chunk)
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fmt.Fprintf(w, "data: %s\n\n", data)
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if flusher != nil {
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flusher.Flush()
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}
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}
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stopChunk := map[string]interface{}{
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"id": id, "object": "chat.completion.chunk", "created": created, "model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "delta": map[string]interface{}{}, "finish_reason": "tool_calls"},
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},
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}
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data, _ := json.Marshal(stopChunk)
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fmt.Fprintf(w, "data: %s\n\n", data)
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fmt.Fprintf(w, "data: [DONE]\n\n")
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if flusher != nil {
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flusher.Flush()
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}
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} else {
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stopChunk := map[string]interface{}{
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"id": id, "object": "chat.completion.chunk", "created": created, "model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "delta": map[string]interface{}{}, "finish_reason": "stop"},
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},
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}
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data, _ := json.Marshal(stopChunk)
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fmt.Fprintf(w, "data: %s\n\n", data)
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fmt.Fprintf(w, "data: [DONE]\n\n")
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if flusher != nil {
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flusher.Flush()
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}
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}
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},
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)
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} else {
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p = parser.CreateStreamParserWithThinking(
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func(text string) {
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accumulated += text
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chunkNum++
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logger.LogStreamChunk(model, text, chunkNum)
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chunk := map[string]interface{}{
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"id": id,
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"object": "chat.completion.chunk",
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"created": created,
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"model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "delta": map[string]string{"content": text}, "finish_reason": nil},
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},
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}
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data, _ := json.Marshal(chunk)
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fmt.Fprintf(w, "data: %s\n\n", data)
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if flusher != nil {
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flusher.Flush()
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}
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},
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func(thinking string) {
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chunk := map[string]interface{}{
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"id": id,
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"object": "chat.completion.chunk",
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"created": created,
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"model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "delta": map[string]interface{}{"reasoning_content": thinking}, "finish_reason": nil},
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},
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}
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data, _ := json.Marshal(chunk)
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fmt.Fprintf(w, "data: %s\n\n", data)
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if flusher != nil {
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flusher.Flush()
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}
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},
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func() {
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logger.LogTrafficResponse(cfg.Verbose, model, accumulated, true)
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stopChunk := map[string]interface{}{
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"id": id,
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"object": "chat.completion.chunk",
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"created": created,
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"model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "delta": map[string]interface{}{}, "finish_reason": "stop"},
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},
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}
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data, _ := json.Marshal(stopChunk)
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fmt.Fprintf(w, "data: %s\n\n", data)
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fmt.Fprintf(w, "data: [DONE]\n\n")
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if flusher != nil {
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flusher.Flush()
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}
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},
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)
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}
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configDir := ph.GetNextConfigDir()
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logger.LogAccountAssigned(configDir)
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ph.ReportRequestStart(configDir)
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logger.LogRequestStart(method, pathname, model, cfg.TimeoutMs, true)
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streamStart := time.Now().UnixMilli()
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ctx := r.Context()
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wrappedParser := func(line string) {
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logger.LogRawLine(line)
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p.Parse(line)
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}
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result, err := agent.RunAgentStreamWithContext(cfg, ws.WorkspaceDir, cmdArgs, wrappedParser, ws.TempDir, configDir, ctx)
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// agent 結束後，若未收到 result/success 訊號，強制 flush 以確保 SSE stream 正確結尾
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if ctx.Err() == nil {
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p.Flush()
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}
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latencyMs := time.Now().UnixMilli() - streamStart
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ph.ReportRequestEnd(configDir)
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if ctx.Err() == context.DeadlineExceeded {
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logger.LogRequestTimeout(method, pathname, model, cfg.TimeoutMs)
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} else if ctx.Err() == context.Canceled {
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logger.LogClientDisconnect(method, pathname, model, latencyMs)
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} else if err == nil && isRateLimited(result.Stderr) {
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ph.ReportRateLimit(configDir, extractRetryAfterMs(result.Stderr))
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}
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if err != nil || (result.Code != 0 && ctx.Err() == nil) {
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ph.ReportRequestError(configDir, latencyMs)
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if err != nil {
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logger.LogAgentError(cfg.SessionsLogPath, method, pathname, remoteAddress, -1, err.Error())
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} else {
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logger.LogAgentError(cfg.SessionsLogPath, method, pathname, remoteAddress, result.Code, result.Stderr)
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}
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logger.LogRequestDone(method, pathname, model, latencyMs, result.Code)
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} else if ctx.Err() == nil {
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ph.ReportRequestSuccess(configDir, latencyMs)
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logger.LogRequestDone(method, pathname, model, latencyMs, 0)
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}
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logger.LogAccountStats(cfg.Verbose, ph.GetStats())
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return
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}
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configDir := ph.GetNextConfigDir()
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logger.LogAccountAssigned(configDir)
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ph.ReportRequestStart(configDir)
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logger.LogRequestStart(method, pathname, model, cfg.TimeoutMs, false)
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syncStart := time.Now().UnixMilli()
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out, err := agent.RunAgentSync(cfg, ws.WorkspaceDir, cmdArgs, ws.TempDir, configDir, r.Context())
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syncLatency := time.Now().UnixMilli() - syncStart
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ph.ReportRequestEnd(configDir)
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ctx := r.Context()
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if ctx.Err() == context.DeadlineExceeded {
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logger.LogRequestTimeout(method, pathname, model, cfg.TimeoutMs)
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httputil.WriteJSON(w, 504, map[string]interface{}{
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"error": map[string]string{"message": fmt.Sprintf("request timed out after %dms", cfg.TimeoutMs), "code": "timeout"},
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}, nil)
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return
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}
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if ctx.Err() == context.Canceled {
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logger.LogClientDisconnect(method, pathname, model, syncLatency)
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return
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}
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if err != nil {
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ph.ReportRequestError(configDir, syncLatency)
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logger.LogAccountStats(cfg.Verbose, ph.GetStats())
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logger.LogRequestDone(method, pathname, model, syncLatency, -1)
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httputil.WriteJSON(w, 500, map[string]interface{}{
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"error": map[string]string{"message": err.Error(), "code": "cursor_cli_error"},
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}, nil)
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return
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}
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if isRateLimited(out.Stderr) {
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ph.ReportRateLimit(configDir, extractRetryAfterMs(out.Stderr))
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}
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if out.Code != 0 {
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ph.ReportRequestError(configDir, syncLatency)
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logger.LogAccountStats(cfg.Verbose, ph.GetStats())
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errMsg := logger.LogAgentError(cfg.SessionsLogPath, method, pathname, remoteAddress, out.Code, out.Stderr)
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logger.LogRequestDone(method, pathname, model, syncLatency, out.Code)
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httputil.WriteJSON(w, 500, map[string]interface{}{
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"error": map[string]string{"message": errMsg, "code": "cursor_cli_error"},
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}, nil)
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return
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}
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ph.ReportRequestSuccess(configDir, syncLatency)
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content := strings.TrimSpace(out.Stdout)
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logger.LogTrafficResponse(cfg.Verbose, model, content, false)
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logger.LogAccountStats(cfg.Verbose, ph.GetStats())
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logger.LogRequestDone(method, pathname, model, syncLatency, 0)
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if hasTools {
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parsed := toolcall.ExtractToolCalls(content, toolNames)
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if parsed.HasToolCalls() {
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msg := map[string]interface{}{"role": "assistant"}
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if parsed.TextContent != "" {
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msg["content"] = parsed.TextContent
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} else {
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msg["content"] = nil
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}
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var tcArr []map[string]interface{}
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for _, tc := range parsed.ToolCalls {
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callID := "call_" + uuid.New().String()[:8]
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tcArr = append(tcArr, map[string]interface{}{
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"id": callID,
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"type": "function",
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"function": map[string]interface{}{
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"name": tc.Name,
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"arguments": tc.Arguments,
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},
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})
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}
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msg["tool_calls"] = tcArr
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httputil.WriteJSON(w, 200, map[string]interface{}{
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"id": id,
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"object": "chat.completion",
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"created": created,
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"model": model,
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"choices": []map[string]interface{}{
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{"index": 0, "message": msg, "finish_reason": "tool_calls"},
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},
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"usage": map[string]int{"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
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}, truncatedHeaders)
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return
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}
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}
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httputil.WriteJSON(w, 200, map[string]interface{}{
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"id": id,
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"object": "chat.completion",
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"created": created,
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"model": model,
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"choices": []map[string]interface{}{
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{
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"index": 0,
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"message": map[string]string{"role": "assistant", "content": content},
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"finish_reason": "stop",
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},
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},
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"usage": map[string]int{"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
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}, truncatedHeaders)
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}
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