Ai proxy monitor (#5009)

* Time granularity and Table of a single model (#4990)

* Aiproxy ModelBoard

* Add components LineChartComponent and Make some revisions

* Time granularity and Table of a single model

* Modify the logic and sort the tables in ascending or descending order

* Use theme and present in seconds

* Add the channel name section (#5005)

* Add components LineChartComponent and Make some revisions

* Time granularity and Table of a single model

* Modify the logic and sort the tables in ascending or descending order

* Add the channel name section

* The channel_name is transmitted from the outer layer

* Restore the channel

* perf: dashboard code

* perf: ai proxy monitor

* code

---------

Co-authored-by: Zhuangzai fa <143257420+ctrlz526@users.noreply.github.com>

packages/web/i18n/zh-CN/account_model.json

@@ -1,7 +1,10 @@
 {
   "Hunyuan": "腾讯混元",
+  "aipoint_usage": "积分消耗",
   "all": "全部",
   "api_key": "API 密钥",
+  "avg_response_time": "平均调用时长 (秒)",
+  "avg_ttfb": "平均首字时长 (秒)",
   "azure": "微软 Azure",
   "base_url": "代理地址",
   "channel_name": "渠道名",
@@ -13,15 +16,28 @@
   "channel_status_enabled": "启用",
   "channel_status_unknown": "未知",
   "channel_type": "厂商",
+  "chart_mode_cumulative": "累积",
+  "chart_mode_incremental": "分时",
   "clear_model": "清空模型",
   "confirm_delete_channel": "确认删除 【{{name}}】渠道？",
   "copy_model_id_success": "已复制模型id",
   "create_channel": "新增渠道",
-  "aipoint_usage": "积分消耗",
+  "dashboard_call_trend": "模型调用次数趋势",
+  "dashboard_channel": "渠道",
+  "dashboard_cost_trend": "积分消耗",
   "dashboard_error_calls": "错误次数",
+  "dashboard_input_tokens": "输入Tokens",
   "dashboard_model": "模型",
+  "dashboard_no_data": "暂无数据",
+  "dashboard_output_tokens": "输出Tokens",
   "dashboard_points": "积分",
+  "dashboard_success_calls": "成功次数",
+  "dashboard_token_trend": "Tokens使用趋势",
   "dashboard_token_usage": "Tokens 消耗",
+  "dashboard_total_calls": "总调用次数:",
+  "dashboard_total_cost": "总成本",
+  "dashboard_total_cost_label": "总成本:",
+  "dashboard_total_tokens": "总Tokens",
   "default_url": "默认地址",
   "detail": "详情",
   "duration": "耗时",
@@ -38,7 +54,9 @@
   "mapping": "模型映射",
   "mapping_tip": "需填写一个有效 Json。可在向实际地址发送请求时，对模型进行映射。例如：\n{\n  \"gpt-4o\": \"gpt-4o-test\"\n}\n当 FastGPT 请求 gpt-4o 模型时，会向实际地址发送 gpt-4o-test 的模型，而不是 gpt-4o。",
   "maxToken_tip": "模型 max_tokens 参数",
+  "max_rpm": "最大RPM (每分钟请求数)",
   "max_temperature_tip": "模型 temperature 参数，不填则代表模型不支持 temperature 参数。",
+  "max_tpm": "最大TPM (每分钟Token数)",
   "model": "模型",
   "model_error_rate": "失败率",
   "model_error_request_times": "失败次数",
@@ -60,7 +78,15 @@
   "selected_model_empty": "至少选择一个模型",
   "start_test": "批量测试{{num}}个模型",
   "test_failed": "有{{num}}个模型报错",
+  "timespan_day": "天",
+  "timespan_hour": "小时",
+  "timespan_label": "时间颗粒度",
+  "timespan_minute": "分钟",
+  "total_call_volume": "调用总量",
+  "view_chart": "图表",
+  "view_table": "表格",
   "vlm_model": "图片理解模型",
   "vlm_model_tip": "用于知识库中对文档中的图片进行额外的索引生成",
+  "volunme_of_failed_calls": "调用失败量",
   "waiting_test": "等待测试"
 }