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* 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>
93 lines
3.8 KiB
JSON
93 lines
3.8 KiB
JSON
{
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"Hunyuan": "Tencent Hunyuan",
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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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"channel_priority": "Priority",
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"channel_priority_tip": "The higher the priority channel, the easier it is to be requested",
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"channel_status": "state",
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"channel_status_auto_disabled": "Automatically disable",
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"channel_status_disabled": "Disabled",
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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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"edit": "edit",
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"edit_channel": "Channel configuration",
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"enable_channel": "Enable",
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"forbid_channel": "Disabled",
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"input": "Input",
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"key_type": "API key format:",
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"log": "Call log",
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"log_detail": "Log details",
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"log_request_id_search": "Search by requestId",
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"log_status": "Status",
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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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"model_name": "Model name",
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"model_request_times": "Request times",
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"model_test": "Model testing",
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"model_tokens": "Input/Output tokens",
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"monitoring": "Monitoring",
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"output": "Output",
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"request_at": "Request time",
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"request_duration": "Request duration: {{duration}}s",
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"retry_times": "Number of retry times",
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"running_test": "In testing",
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"search_model": "Search for models",
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"select_channel": "Select a channel name",
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"select_model": "Select a model",
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"select_model_placeholder": "Select the model available under this channel",
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"select_provider_placeholder": "Search for manufacturers",
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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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