519 lines
17 KiB
Go
519 lines
17 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/anthropic"
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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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"strings"
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"fmt"
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"net/http"
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"time"
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"github.com/google/uuid"
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)
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func HandleAnthropicMessages(w http.ResponseWriter, r *http.Request, cfg config.BridgeConfig, ph pool.PoolHandle, lastModelRef *string, rawBody, method, pathname, remoteAddress string) {
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var req anthropic.MessagesRequest
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if err := json.Unmarshal([]byte(rawBody), &req); err != nil {
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httputil.WriteJSON(w, 400, map[string]interface{}{
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"error": map[string]string{"type": "invalid_request_error", "message": "invalid JSON body"},
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}, nil)
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return
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}
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requested := openai.NormalizeModelID(req.Model)
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model := ResolveModel(requested, lastModelRef, cfg)
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var rawMap map[string]interface{}
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_ = json.Unmarshal([]byte(rawBody), &rawMap)
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cleanSystem := sanitize.SanitizeSystem(req.System)
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rawMessages := make([]interface{}, len(req.Messages))
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for i, m := range req.Messages {
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rawMessages[i] = map[string]interface{}{"role": m.Role, "content": m.Content}
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}
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cleanRawMessages := sanitize.SanitizeMessages(rawMessages)
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var cleanMessages []anthropic.MessageParam
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for _, raw := range cleanRawMessages {
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if m, ok := raw.(map[string]interface{}); ok {
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role, _ := m["role"].(string)
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cleanMessages = append(cleanMessages, anthropic.MessageParam{Role: role, Content: m["content"]})
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}
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}
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toolsText := openai.ToolsToSystemText(req.Tools, nil)
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var systemWithTools interface{}
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if toolsText != "" {
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sysStr := ""
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switch v := cleanSystem.(type) {
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case string:
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sysStr = v
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}
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if sysStr != "" {
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systemWithTools = sysStr + "\n\n" + toolsText
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} else {
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systemWithTools = toolsText
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}
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} else {
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systemWithTools = cleanSystem
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}
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prompt := anthropic.BuildPromptFromAnthropicMessages(cleanMessages, systemWithTools)
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if req.MaxTokens == 0 {
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httputil.WriteJSON(w, 400, map[string]interface{}{
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"error": map[string]string{"type": "invalid_request_error", "message": "max_tokens is required"},
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}, nil)
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return
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}
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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 trafficMsgs []logger.TrafficMessage
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if s := systemToString(cleanSystem); s != "" {
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trafficMsgs = append(trafficMsgs, logger.TrafficMessage{Role: "system", Content: s})
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}
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for _, m := range cleanMessages {
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text := contentToString(m.Content)
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if text != "" {
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trafficMsgs = append(trafficMsgs, logger.TrafficMessage{Role: m.Role, Content: text})
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}
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}
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logger.LogTrafficRequest(cfg.Verbose, model, trafficMsgs, req.Stream)
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headerWs := r.Header.Get("x-cursor-workspace")
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ws := workspace.ResolveWorkspace(cfg, headerWs)
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fixedArgs := agent.BuildAgentFixedArgs(cfg, ws.WorkspaceDir, cursorModel, req.Stream)
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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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if len(prompt) > 200 {
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logger.LogDebug("model=%s prompt_len=%d prompt_preview=%q", cursorModel, len(prompt), prompt[:200]+"...")
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} else {
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logger.LogDebug("model=%s prompt_len=%d prompt=%q", cursorModel, len(prompt), prompt)
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}
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logger.LogDebug("cmd_args=%v", 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{"type": "api_error", "message": fit.Error},
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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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msgID := "msg_" + uuid.New().String()
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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(req.Tools) > 0
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var toolNames map[string]bool
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if hasTools {
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toolNames = toolcall.CollectToolNames(req.Tools)
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}
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if req.Stream {
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httputil.WriteSSEHeaders(w, truncatedHeaders)
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flusher, _ := w.(http.Flusher)
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writeEvent := func(evt interface{}) {
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data, _ := json.Marshal(evt)
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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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var accumulated string
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var accumulatedThinking string
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var chunkNum int
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var p parser.Parser
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writeEvent(map[string]interface{}{
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"type": "message_start",
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"message": map[string]interface{}{
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"id": msgID,
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"type": "message",
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"role": "assistant",
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"model": model,
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"content": []interface{}{},
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},
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})
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if hasTools {
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// tools 模式：先累積所有內容，完成後再一次性輸出（因為 tool_calls 需要完整解析）
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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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},
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func(thinking string) {
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accumulatedThinking += thinking
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},
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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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blockIndex := 0
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if accumulatedThinking != "" {
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writeEvent(map[string]interface{}{
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"type": "content_block_start", "index": blockIndex,
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"content_block": map[string]string{"type": "thinking", "thinking": ""},
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})
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writeEvent(map[string]interface{}{
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"type": "content_block_delta", "index": blockIndex,
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"delta": map[string]string{"type": "thinking_delta", "thinking": accumulatedThinking},
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})
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writeEvent(map[string]interface{}{"type": "content_block_stop", "index": blockIndex})
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blockIndex++
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}
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if parsed.HasToolCalls() {
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if parsed.TextContent != "" {
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writeEvent(map[string]interface{}{
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"type": "content_block_start", "index": blockIndex,
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"content_block": map[string]string{"type": "text", "text": ""},
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})
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writeEvent(map[string]interface{}{
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"type": "content_block_delta", "index": blockIndex,
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"delta": map[string]string{"type": "text_delta", "text": parsed.TextContent},
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})
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writeEvent(map[string]interface{}{"type": "content_block_stop", "index": blockIndex})
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blockIndex++
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}
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for _, tc := range parsed.ToolCalls {
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toolID := "toolu_" + uuid.New().String()[:12]
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var inputObj interface{}
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_ = json.Unmarshal([]byte(tc.Arguments), &inputObj)
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if inputObj == nil {
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inputObj = map[string]interface{}{}
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}
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writeEvent(map[string]interface{}{
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"type": "content_block_start", "index": blockIndex,
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"content_block": map[string]interface{}{
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"type": "tool_use", "id": toolID, "name": tc.Name, "input": map[string]interface{}{},
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},
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})
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writeEvent(map[string]interface{}{
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"type": "content_block_delta", "index": blockIndex,
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"delta": map[string]interface{}{
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"type": "input_json_delta", "partial_json": tc.Arguments,
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},
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})
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writeEvent(map[string]interface{}{"type": "content_block_stop", "index": blockIndex})
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blockIndex++
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}
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writeEvent(map[string]interface{}{
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"type": "message_delta",
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"delta": map[string]interface{}{"stop_reason": "tool_use", "stop_sequence": nil},
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"usage": map[string]int{"output_tokens": 0},
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})
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writeEvent(map[string]interface{}{"type": "message_stop"})
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} else {
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writeEvent(map[string]interface{}{
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"type": "content_block_start", "index": blockIndex,
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"content_block": map[string]string{"type": "text", "text": ""},
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})
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if accumulated != "" {
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writeEvent(map[string]interface{}{
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"type": "content_block_delta", "index": blockIndex,
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"delta": map[string]string{"type": "text_delta", "text": accumulated},
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})
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}
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writeEvent(map[string]interface{}{"type": "content_block_stop", "index": blockIndex})
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writeEvent(map[string]interface{}{
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"type": "message_delta",
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"delta": map[string]interface{}{"stop_reason": "end_turn", "stop_sequence": nil},
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"usage": map[string]int{"output_tokens": 0},
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})
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writeEvent(map[string]interface{}{"type": "message_stop"})
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}
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},
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)
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} else {
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// 非 tools 模式：即時串流 thinking 和 text
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// blockCount 追蹤已開啟的 block 數量
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// thinkingOpen 代表 thinking block 是否已開啟且尚未關閉
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// textOpen 代表 text block 是否已開啟且尚未關閉
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blockCount := 0
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thinkingOpen := false
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textOpen := false
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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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// 若 thinking block 尚未關閉，先關閉它
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if thinkingOpen {
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writeEvent(map[string]interface{}{"type": "content_block_stop", "index": blockCount - 1})
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thinkingOpen = false
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}
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// 若 text block 尚未開啟，先開啟它
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if !textOpen {
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writeEvent(map[string]interface{}{
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"type": "content_block_start",
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"index": blockCount,
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"content_block": map[string]string{"type": "text", "text": ""},
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})
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textOpen = true
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blockCount++
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}
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writeEvent(map[string]interface{}{
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"type": "content_block_delta",
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"index": blockCount - 1,
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"delta": map[string]string{"type": "text_delta", "text": text},
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})
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},
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func(thinking string) {
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accumulatedThinking += thinking
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chunkNum++
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// 若 thinking block 尚未開啟，先開啟它
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if !thinkingOpen {
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writeEvent(map[string]interface{}{
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"type": "content_block_start",
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"index": blockCount,
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"content_block": map[string]string{"type": "thinking", "thinking": ""},
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})
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thinkingOpen = true
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blockCount++
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}
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writeEvent(map[string]interface{}{
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"type": "content_block_delta",
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"index": blockCount - 1,
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"delta": map[string]string{"type": "thinking_delta", "thinking": thinking},
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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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// 關閉尚未關閉的 thinking block
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if thinkingOpen {
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writeEvent(map[string]interface{}{"type": "content_block_stop", "index": blockCount - 1})
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thinkingOpen = false
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}
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// 若 text block 尚未開啟（全部都是 thinking，沒有 text），開啟並立即關閉空的 text block
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if !textOpen {
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writeEvent(map[string]interface{}{
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"type": "content_block_start",
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"index": blockCount,
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"content_block": map[string]string{"type": "text", "text": ""},
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})
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blockCount++
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}
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// 關閉 text block
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writeEvent(map[string]interface{}{"type": "content_block_stop", "index": blockCount - 1})
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writeEvent(map[string]interface{}{
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"type": "message_delta",
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"delta": map[string]interface{}{"stop_reason": "end_turn", "stop_sequence": nil},
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"usage": map[string]int{"output_tokens": 0},
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})
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writeEvent(map[string]interface{}{"type": "message_stop"})
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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{"type": "api_error", "message": fmt.Sprintf("request timed out after %dms", cfg.TimeoutMs)},
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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{"type": "api_error", "message": err.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{"type": "api_error", "message": errMsg},
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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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var contentBlocks []map[string]interface{}
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if parsed.TextContent != "" {
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contentBlocks = append(contentBlocks, map[string]interface{}{
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"type": "text", "text": parsed.TextContent,
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})
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}
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for _, tc := range parsed.ToolCalls {
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toolID := "toolu_" + uuid.New().String()[:12]
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var inputObj interface{}
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_ = json.Unmarshal([]byte(tc.Arguments), &inputObj)
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if inputObj == nil {
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inputObj = map[string]interface{}{}
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}
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contentBlocks = append(contentBlocks, map[string]interface{}{
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"type": "tool_use", "id": toolID, "name": tc.Name, "input": inputObj,
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})
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}
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httputil.WriteJSON(w, 200, map[string]interface{}{
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"id": msgID,
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"type": "message",
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"role": "assistant",
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"content": contentBlocks,
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"model": model,
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"stop_reason": "tool_use",
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"usage": map[string]int{"input_tokens": 0, "output_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": msgID,
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"type": "message",
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||
"role": "assistant",
|
||
"content": []map[string]string{{"type": "text", "text": content}},
|
||
"model": model,
|
||
"stop_reason": "end_turn",
|
||
"usage": map[string]int{"input_tokens": 0, "output_tokens": 0},
|
||
}, truncatedHeaders)
|
||
}
|
||
|
||
func systemToString(system interface{}) string {
|
||
switch v := system.(type) {
|
||
case string:
|
||
return v
|
||
case []interface{}:
|
||
result := ""
|
||
for _, p := range v {
|
||
if m, ok := p.(map[string]interface{}); ok && m["type"] == "text" {
|
||
if t, ok := m["text"].(string); ok {
|
||
result += t
|
||
}
|
||
}
|
||
}
|
||
return result
|
||
}
|
||
return ""
|
||
}
|
||
|
||
func contentToString(content interface{}) string {
|
||
switch v := content.(type) {
|
||
case string:
|
||
return v
|
||
case []interface{}:
|
||
result := ""
|
||
for _, p := range v {
|
||
if m, ok := p.(map[string]interface{}); ok && m["type"] == "text" {
|
||
if t, ok := m["text"].(string); ok {
|
||
result += t
|
||
}
|
||
}
|
||
}
|
||
return result
|
||
}
|
||
return ""
|
||
}
|