M0-M4: 推倒重来基线(基建+用户/密钥/核心代理+前端+管理后台+三协议互转)

- 后端 Go+Gin+GORM: 配置(OT_ env)/SQLite/Postgres 双驱动、用户体系(argon2id+JWT access/refresh)、
  API Key(sk- 48位, 仅存 SHA-256 哈希)
- 代理网关: /v1/chat/completions、/v1/responses、/v1/messages、/v1/models;错误按客户端协议返回
- 三协议互转(convert 包): Chat↔Messages↔Responses 请求/响应 + 流式 SSE 逐事件转换(直通优先)
- 用量计费: 异步批量记账、余额扣减、balance_logs、usage_daily 日聚合
- 管理 API: 用户/渠道 CRUD+测试+模型导入/模型定价+绑定/统计/系统配置
- 前端 Vue3+TS+Tailwind(taste-skill 设计 tokens): Landing/登录注册/控制台/管理后台,
  自建组件+Phosphor 图标+自建 SVG 趋势图, 已过 web-design-guidelines 复查
- mock 上游: OpenAI+Anthropic 双协议模拟(含流式)

Co-Authored-By: Claude <noreply@anthropic.com>

scripts/mockupstream/main.go

@@ -1,5 +1,5 @@
 // mockupstream 本地 mock OpenAI 上游服务（联调代理链路，无需真实 key）。
-// 支持 /v1/chat/completions 与 /v1/responses，含流式与非流式。
+// 支持 /v1/chat/completions 与 /v1/responses，含流式与非流式；/v1/models 返回模型列表。
 package main
 
 import (
@@ -46,22 +46,72 @@ func main() {
 
 	http.HandleFunc("/v1/models", func(w http.ResponseWriter, r *http.Request) {
 		w.Header().Set("Content-Type", "application/json")
-		fmt.Fprint(w, `{"object":"list","data":[{"id":"gpt-4o-mini","object":"model"},{"id":"gpt-4o","object":"model"}]}`)
+		fmt.Fprint(w, `{"object":"list","data":[{"id":"gpt-4o-mini","object":"model"},{"id":"gpt-4o","object":"model"},{"id":"claude-sonnet-5","object":"model"}]}`)
+	})
+
+	// Anthropic Messages 端点（provider=anthropic 的渠道走这里）
+	http.HandleFunc("/v1/messages", func(w http.ResponseWriter, r *http.Request) {
+		body, _ := io.ReadAll(r.Body)
+		var req struct {
+			Model  string `json:"model"`
+			Stream bool   `json:"stream"`
+		}
+		_ = json.Unmarshal(body, &req)
+		if req.Stream {
+			streamMessages(w, req.Model)
+			return
+		}
+		replyMessages(w, req.Model)
 	})
 
 	log.Printf("mock upstream listening on %s", *addr)
 	log.Fatal(http.ListenAndServe(*addr, nil))
 }
 
+func replyMessages(w http.ResponseWriter, model string) {
+	w.Header().Set("Content-Type", "application/json")
+	resp := map[string]any{
+		"id":          "msg_mock789",
+		"type":        "message",
+		"role":        "assistant",
+		"model":       model,
+		"content":     []any{map[string]any{"type": "text", "text": "这是 mock Anthropic 上游的回复。"}},
+		"stop_reason": "end_turn",
+		"usage":       map[string]any{"input_tokens": 14, "output_tokens": 10},
+	}
+	_ = json.NewEncoder(w).Encode(resp)
+}
+
+func streamMessages(w http.ResponseWriter, model string) {
+	w.Header().Set("Content-Type", "text/event-stream")
+	fl, _ := w.(http.Flusher)
+	events := []map[string]any{
+		{"type": "message_start", "message": map[string]any{"id": "msg_mock789", "type": "message", "role": "assistant", "model": model, "content": []any{}, "usage": map[string]any{"input_tokens": 14, "output_tokens": 0}}},
+		{"type": "content_block_start", "index": 0, "content_block": map[string]any{"type": "text", "text": ""}},
+		{"type": "content_block_delta", "index": 0, "delta": map[string]any{"type": "text_delta", "text": "这是"}},
+		{"type": "content_block_delta", "index": 0, "delta": map[string]any{"type": "text_delta", "text": " Anthropic"}},
+		{"type": "content_block_stop", "index": 0},
+		{"type": "message_delta", "delta": map[string]any{"stop_reason": "end_turn", "stop_sequence": nil}, "usage": map[string]any{"output_tokens": 10}},
+		{"type": "message_stop"},
+	}
+	for _, e := range events {
+		b, _ := json.Marshal(e)
+		typ, _ := e["type"].(string)
+		fmt.Fprintf(w, "event: %s\ndata: %s\n\n", typ, b)
+		fl.Flush()
+		time.Sleep(40 * time.Millisecond)
+	}
+}
+
 func replyChat(w http.ResponseWriter, model string) {
 	w.Header().Set("Content-Type", "application/json")
 	resp := map[string]any{
-		"id":      "chatcmpl-mock123",
-		"object":  "chat.completion",
-		"model":   model,
+		"id":     "chatcmpl-mock123",
+		"object": "chat.completion",
+		"model":  model,
 		"choices": []any{map[string]any{
-			"index": 0,
-			"message": map[string]any{"role": "assistant", "content": "你好，这是 mock 上游的回复。"},
+			"index":         0,
+			"message":       map[string]any{"role": "assistant", "content": "你好，这是 mock 上游的回复。"},
 			"finish_reason": "stop",
 		}},
 		"usage": map[string]any{"prompt_tokens": 12, "completion_tokens": 9, "total_tokens": 21},
@@ -80,7 +130,6 @@ func streamChat(w http.ResponseWriter, model string) {
 			"choices": []any{map[string]any{
 				"index": 0,
 				"delta": map[string]any{"content": c},
-				"finish_reason": nil,
 			}},
 		}
 		if i == len(chunks)-1 {
@@ -107,11 +156,11 @@ func streamChat(w http.ResponseWriter, model string) {
 func replyResponses(w http.ResponseWriter, model string) {
 	w.Header().Set("Content-Type", "application/json")
 	resp := map[string]any{
-		"id":      "resp_mock456",
-		"object":  "response",
-		"model":   model,
-		"status":  "completed",
-		"output":  []any{map[string]any{
+		"id":     "resp_mock456",
+		"object": "response",
+		"model":  model,
+		"status": "completed",
+		"output": []any{map[string]any{
 			"type": "message", "role": "assistant",
 			"content": []any{map[string]any{"type": "output_text", "text": "这是 Responses API 的 mock 回复。"}},
 		}},