(UI) Fix SpendLogs page - truncate bedrock models + show end_user (#8118)

* ui spend logs table truncate bedrock page

* ui - show user / internal user fields

litellm/model_prices_and_context_window_backup.json

@@ -3423,6 +3423,39 @@
         "supports_audio_output": true,
         "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-2.0-flash"
     },
+    "gemini-2.0-flash-thinking-exp-01-21": {
+        "max_tokens": 65536,
+        "max_input_tokens": 1048576,
+        "max_output_tokens": 65536,
+        "max_images_per_prompt": 3000,
+        "max_videos_per_prompt": 10,
+        "max_video_length": 1,
+        "max_audio_length_hours": 8.4,
+        "max_audio_per_prompt": 1,
+        "max_pdf_size_mb": 30,
+        "input_cost_per_image": 0,
+        "input_cost_per_video_per_second": 0,
+        "input_cost_per_audio_per_second": 0,
+        "input_cost_per_token": 0,
+        "input_cost_per_character": 0, 
+        "input_cost_per_token_above_128k_tokens": 0, 
+        "input_cost_per_character_above_128k_tokens": 0, 
+        "input_cost_per_image_above_128k_tokens": 0,
+        "input_cost_per_video_per_second_above_128k_tokens": 0,
+        "input_cost_per_audio_per_second_above_128k_tokens": 0,
+        "output_cost_per_token": 0,
+        "output_cost_per_character": 0,
+        "output_cost_per_token_above_128k_tokens": 0,
+        "output_cost_per_character_above_128k_tokens": 0,
+        "litellm_provider": "vertex_ai-language-models",
+        "mode": "chat",
+        "supports_system_messages": true,
+        "supports_function_calling": false,
+        "supports_vision": true,
+        "supports_response_schema": false,
+        "supports_audio_output": false,
+        "source": "https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#gemini-2.0-flash"
+    },
     "gemini/gemini-2.0-flash-exp": {
         "max_tokens": 8192,
         "max_input_tokens": 1048576,

litellm/proxy/proxy_config.yaml

@@ -1,9 +1,7 @@
 model_list:
-  - model_name: fake-openai-endpoint
+  - model_name: bedrock/*
     litellm_params:
-      model: openai/fake
-      api_key: fake-key
-      api_base: https://exampleopenaiendpoint-production.up.railway.app/
+      model: bedrock/*
 
 litellm_settings:
   callbacks: ["datadog"]

ui/litellm-dashboard/src/components/view_logs/columns.tsx

@@ -4,6 +4,7 @@ import moment from "moment";
 import React from "react";
 import { CountryCell } from "./country_cell";
 import { getProviderLogoAndName } from "../provider_info_helpers";
+import { Tooltip } from "antd";
 
 export type LogEntry = {
   request_id: string;
@@ -19,6 +20,7 @@ export type LogEntry = {
   startTime: string;
   endTime: string;
   user?: string;
+  end_user?: string;
   custom_llm_provider?: string;
   metadata?: Record<string, any>;
   cache_hit: string;
@@ -111,6 +113,7 @@ export const columns: ColumnDef<LogEntry>[] = [
     cell: (info: any) => {
       const row = info.row.original;
       const provider = row.custom_llm_provider;
+      const modelName = String(info.getValue() || "");
       return (
         <div className="flex items-center space-x-2">
           {provider && (
@@ -124,7 +127,11 @@ export const columns: ColumnDef<LogEntry>[] = [
               }}
             />
           )}
-          <span>{String(info.getValue() || "")}</span>
+          <Tooltip title={modelName}>
+            <span className="max-w-[100px] truncate">
+              {modelName}
+            </span>
+          </Tooltip>
         </div>
       );
     },
@@ -146,10 +153,15 @@ export const columns: ColumnDef<LogEntry>[] = [
     },
   },
   {
-    header: "User",
+    header: "Internal User",
     accessorKey: "user",
     cell: (info: any) => <span>{String(info.getValue() || "-")}</span>,
   },
+  {
+    header: "End User",
+    accessorKey: "end_user",
+    cell: (info: any) => <span>{String(info.getValue() || "-")}</span>,
+  },
   {
     header: "Cost",
     accessorKey: "spend",