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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>
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@@ -3,6 +3,8 @@
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"aipoint_usage": "AI points",
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"all": "All",
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"api_key": "API key",
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"avg_response_time": "Average call time (seconds)",
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"avg_ttfb": "Average first word duration (seconds)",
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"azure": "Azure",
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"base_url": "Base url",
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"channel_name": "Channel",
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@@ -14,14 +16,28 @@
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"channel_status_enabled": "Enable",
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"channel_status_unknown": "unknown",
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"channel_type": "Manufacturer",
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"chart_mode_cumulative": "Cumulative",
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"chart_mode_incremental": "Incremental",
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"clear_model": "Clear the model",
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"confirm_delete_channel": "Confirm the deletion of the [{{name}}] channel?",
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"copy_model_id_success": "Copyed model id",
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"create_channel": "Added channels",
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"dashboard_call_trend": "Model Call Trend",
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"dashboard_channel": "Channel",
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"dashboard_cost_trend": "Cost Consumption",
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"dashboard_error_calls": "Error Calls",
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"dashboard_input_tokens": "Input Tokens",
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"dashboard_model": "Model",
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"dashboard_no_data": "No data available",
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"dashboard_output_tokens": "Output Tokens",
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"dashboard_points": "points",
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"dashboard_success_calls": "Success Calls",
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"dashboard_token_trend": "Token Usage Trend",
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"dashboard_token_usage": "Tokens",
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"dashboard_total_calls": "Total Calls:",
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"dashboard_total_cost": "Total Cost",
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"dashboard_total_cost_label": "Total Cost:",
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"dashboard_total_tokens": "Total Tokens",
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"default_url": "Default address",
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"detail": "Detail",
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"duration": "Duration",
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@@ -38,7 +54,9 @@
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"mapping": "Model Mapping",
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"mapping_tip": "A valid Json is required. \nThe model can be mapped when sending a request to the actual address. \nFor example:\n{\n \n \"gpt-4o\": \"gpt-4o-test\"\n\n}\n\nWhen FastGPT requests the gpt-4o model, the gpt-4o-test model is sent to the actual address, instead of gpt-4o.",
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"maxToken_tip": "Model max_tokens parameter",
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"max_rpm": "Max RPM (Requests Per Minute)",
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"max_temperature_tip": "If the model temperature parameter is not filled in, it means that the model does not support the temperature parameter.",
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"max_tpm": "Max TPM (Tokens Per Minute)",
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"model": "Model",
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"model_error_rate": "Error rate",
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"model_error_request_times": "Number of failures",
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@@ -60,7 +78,15 @@
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"selected_model_empty": "Choose at least one model",
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"start_test": "Batch test {{num}} models",
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"test_failed": "There are {{num}} models that report errors",
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"timespan_day": "Day",
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"timespan_hour": "Hour",
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"timespan_label": "Time Granularity",
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"timespan_minute": "Minute",
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"total_call_volume": "Request amount",
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"view_chart": "Chart",
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"view_table": "Table",
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"vlm_model": "Vlm",
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"vlm_model_tip": "Used to generate additional indexing of images in a document in the knowledge base",
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"volunme_of_failed_calls": "Error amount",
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"waiting_test": "Waiting for testing"
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}
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@@ -1,7 +1,10 @@
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{
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"Hunyuan": "腾讯混元",
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"aipoint_usage": "积分消耗",
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"all": "全部",
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"api_key": "API 密钥",
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"avg_response_time": "平均调用时长 (秒)",
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"avg_ttfb": "平均首字时长 (秒)",
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"azure": "微软 Azure",
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"base_url": "代理地址",
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"channel_name": "渠道名",
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@@ -13,15 +16,28 @@
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"channel_status_enabled": "启用",
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"channel_status_unknown": "未知",
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"channel_type": "厂商",
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"chart_mode_cumulative": "累积",
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"chart_mode_incremental": "分时",
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"clear_model": "清空模型",
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"confirm_delete_channel": "确认删除 【{{name}}】渠道?",
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"copy_model_id_success": "已复制模型id",
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"create_channel": "新增渠道",
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"aipoint_usage": "积分消耗",
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"dashboard_call_trend": "模型调用次数趋势",
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"dashboard_channel": "渠道",
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"dashboard_cost_trend": "积分消耗",
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"dashboard_error_calls": "错误次数",
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"dashboard_input_tokens": "输入Tokens",
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"dashboard_model": "模型",
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"dashboard_no_data": "暂无数据",
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"dashboard_output_tokens": "输出Tokens",
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"dashboard_points": "积分",
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"dashboard_success_calls": "成功次数",
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"dashboard_token_trend": "Tokens使用趋势",
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"dashboard_token_usage": "Tokens 消耗",
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"dashboard_total_calls": "总调用次数:",
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"dashboard_total_cost": "总成本",
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"dashboard_total_cost_label": "总成本:",
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"dashboard_total_tokens": "总Tokens",
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"default_url": "默认地址",
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"detail": "详情",
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"duration": "耗时",
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@@ -38,7 +54,9 @@
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"mapping": "模型映射",
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"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。",
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"maxToken_tip": "模型 max_tokens 参数",
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"max_rpm": "最大RPM (每分钟请求数)",
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"max_temperature_tip": "模型 temperature 参数,不填则代表模型不支持 temperature 参数。",
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"max_tpm": "最大TPM (每分钟Token数)",
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"model": "模型",
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"model_error_rate": "失败率",
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"model_error_request_times": "失败次数",
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@@ -60,7 +78,15 @@
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"selected_model_empty": "至少选择一个模型",
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"start_test": "批量测试{{num}}个模型",
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"test_failed": "有{{num}}个模型报错",
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"timespan_day": "天",
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"timespan_hour": "小时",
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"timespan_label": "时间颗粒度",
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"timespan_minute": "分钟",
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"total_call_volume": "调用总量",
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"view_chart": "图表",
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"view_table": "表格",
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"vlm_model": "图片理解模型",
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"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",
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"volunme_of_failed_calls": "调用失败量",
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"waiting_test": "等待测试"
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}
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@@ -3,6 +3,8 @@
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"aipoint_usage": "積分消耗",
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"all": "全部",
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"api_key": "API 金鑰",
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"avg_response_time": "平均調用時長 (秒)",
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"avg_ttfb": "平均首字時長 (秒)",
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"azure": "Azure",
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"base_url": "代理地址",
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"channel_name": "管道名稱",
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@@ -14,11 +16,28 @@
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"channel_status_enabled": "啟用",
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"channel_status_unknown": "未知",
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"channel_type": "廠商",
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"chart_mode_cumulative": "累積",
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"chart_mode_incremental": "分時",
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"clear_model": "清空模型",
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"confirm_delete_channel": "確認刪除【{{name}}】管道?",
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"copy_model_id_success": "已復制模型 id",
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"create_channel": "新增管道",
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"dashboard_call_trend": "模型呼叫次數趨勢",
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"dashboard_channel": "管道",
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"dashboard_cost_trend": "積分消耗",
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"dashboard_error_calls": "錯誤次數",
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"dashboard_input_tokens": "輸入Tokens",
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"dashboard_model": "模型",
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"dashboard_no_data": "暫無資料",
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"dashboard_output_tokens": "輸出Tokens",
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"dashboard_points": "積分",
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"dashboard_success_calls": "成功次數",
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"dashboard_token_trend": "Tokens使用趨勢",
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"dashboard_token_usage": "Tokens 消耗",
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"dashboard_total_calls": "總呼叫次數:",
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"dashboard_total_cost": "總成本",
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"dashboard_total_cost_label": "總成本:",
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"dashboard_total_tokens": "總Tokens",
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"default_url": "預設地址",
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"detail": "詳細資訊",
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"duration": "耗時",
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@@ -35,7 +54,9 @@
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"mapping": "模型對映",
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"mapping_tip": "需填寫一個有效 Json。\n可在向實際地址傳送請求時,對模型進行對映。\n例如:\n{\n \n \"gpt-4o\": \"gpt-4o-test\"\n\n}\n\n當 FastGPT 請求 gpt-4o 模型時,會向實際地址傳送 gpt-4o-test 的模型,而不是 gpt-4o。",
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"maxToken_tip": "模型 max_tokens 參數",
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"max_rpm": "最大RPM (每分鐘請求數)",
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"max_temperature_tip": "模型 temperature 參數,不填則代表模型不支援 temperature 參數。",
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"max_tpm": "最大TPM (每分鐘Token數)",
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"model": "模型",
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"model_error_rate": "失敗率",
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"model_error_request_times": "失敗次數",
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@@ -57,7 +78,15 @@
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"selected_model_empty": "至少選擇一個模型",
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"start_test": "批次測試{{num}}個模型",
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"test_failed": "有{{num}}個模型報錯",
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"timespan_day": "天",
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"timespan_hour": "小時",
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"timespan_label": "時間顆粒度",
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"timespan_minute": "分鐘",
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"total_call_volume": "調用總量",
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"view_chart": "圖表",
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"view_table": "表格",
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"vlm_model": "圖片理解模型",
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"vlm_model_tip": "用於知識庫中對文件中的圖片進行額外的索引生成",
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"volunme_of_failed_calls": "調用失敗量",
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"waiting_test": "等待測試"
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}
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