diff --git a/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.test.tsx b/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.test.tsx
new file mode 100644
index 00000000000..9eebc382163
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.test.tsx
@@ -0,0 +1,50 @@
+import { render, screen, waitFor } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
+import { describe, expect, it, vi } from "vitest";
+import AdditionalModelSettings from "./AdditionalModelSettings";
+
+describe("AdditionalModelSettings", () => {
+  it("should render correctly", () => {
+    const { container } = render(<AdditionalModelSettings />);
+    expect(container).toBeTruthy();
+
+    expect(screen.getByText("Use Advanced Parameters")).toBeInTheDocument();
+
+    expect(screen.getByText("Temperature")).toBeInTheDocument();
+    expect(screen.getByText("Max Tokens")).toBeInTheDocument();
+  });
+
+  it("should enable the sliders when the checkbox is checked", async () => {
+    const user = userEvent.setup();
+    const mockOnTemperatureChange = vi.fn();
+    const mockOnMaxTokensChange = vi.fn();
+
+    render(
+      <AdditionalModelSettings
+        onTemperatureChange={mockOnTemperatureChange}
+        onMaxTokensChange={mockOnMaxTokensChange}
+      />,
+    );
+
+    const checkbox = screen.getByRole("checkbox", { name: /Use Advanced Parameters/i });
+    expect(checkbox).toBeInTheDocument();
+    expect(checkbox).not.toBeChecked();
+
+    await user.click(checkbox);
+
+    await waitFor(() => {
+      expect(screen.getByRole("checkbox", { name: /Use Advanced Parameters/i })).toBeChecked();
+    });
+
+    await waitFor(() => {
+      const sliders = screen.getAllByRole("slider");
+      expect(sliders.length).toBeGreaterThan(0);
+      expect(sliders[0]).not.toBeDisabled();
+    });
+
+    const temperatureSlider = screen.getAllByRole("slider")[0];
+    const maxTokensSlider = screen.getAllByRole("slider")[1];
+    expect(temperatureSlider).not.toBeDisabled();
+    expect(maxTokensSlider).not.toBeDisabled();
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.tsx b/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.tsx
new file mode 100644
index 00000000000..85307509525
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.tsx
@@ -0,0 +1,137 @@
+import { InfoCircleOutlined } from "@ant-design/icons";
+import { Text } from "@tremor/react";
+import { Checkbox, InputNumber, Slider, Tooltip } from "antd";
+import React, { useEffect, useState } from "react";
+
+interface AdditionalModelSettingsProps {
+  temperature?: number;
+  maxTokens?: number;
+  useAdvancedParams?: boolean;
+  onTemperatureChange?: (value: number) => void;
+  onMaxTokensChange?: (value: number) => void;
+  onUseAdvancedParamsChange?: (value: boolean) => void;
+}
+
+const AdditionalModelSettings: React.FC<AdditionalModelSettingsProps> = ({
+  temperature = 1.0,
+  maxTokens = 2048,
+  useAdvancedParams: externalUseAdvancedParams,
+  onTemperatureChange,
+  onMaxTokensChange,
+  onUseAdvancedParamsChange,
+}) => {
+  const [internalUseAdvancedParams, setInternalUseAdvancedParams] = useState(false);
+  const useAdvancedParams =
+    externalUseAdvancedParams !== undefined ? externalUseAdvancedParams : internalUseAdvancedParams;
+  const [localTemperature, setLocalTemperature] = useState(temperature);
+  const [localMaxTokens, setLocalMaxTokens] = useState(maxTokens);
+
+  // Sync local state with props when they change
+  useEffect(() => {
+    setLocalTemperature(temperature);
+  }, [temperature]);
+
+  useEffect(() => {
+    setLocalMaxTokens(maxTokens);
+  }, [maxTokens]);
+
+  const handleTemperatureChange = (value: number | null) => {
+    const newValue = value ?? 1.0;
+    setLocalTemperature(newValue);
+    onTemperatureChange?.(newValue);
+  };
+
+  const handleMaxTokensChange = (value: number | null) => {
+    const newValue = value ?? 1000;
+    setLocalMaxTokens(newValue);
+    onMaxTokensChange?.(newValue);
+  };
+
+  const disabledOpacity = useAdvancedParams ? 1 : 0.4;
+  const disabledTextColor = useAdvancedParams ? "text-gray-700" : "text-gray-400";
+
+  const handleUseAdvancedParamsChange = (checked: boolean) => {
+    if (onUseAdvancedParamsChange) {
+      onUseAdvancedParamsChange(checked);
+    } else {
+      setInternalUseAdvancedParams(checked);
+    }
+  };
+
+  return (
+    <div className="space-y-4 p-4 w-80">
+      <Checkbox checked={useAdvancedParams} onChange={(e) => handleUseAdvancedParamsChange(e.target.checked)}>
+        <span className="font-medium">Use Advanced Parameters</span>
+      </Checkbox>
+
+      <div className="space-y-4 transition-opacity duration-200" style={{ opacity: disabledOpacity }}>
+        <div>
+          <div className="flex items-center justify-between mb-2">
+            <div className="flex items-center gap-1">
+              <Text className={`text-sm ${disabledTextColor}`}>Temperature</Text>
+              <Tooltip title="Controls randomness. Lower values make output more deterministic, higher values more creative.">
+                <InfoCircleOutlined className={`text-xs ${disabledTextColor} cursor-help`} />
+              </Tooltip>
+            </div>
+            <InputNumber
+              min={0}
+              max={2}
+              step={0.1}
+              value={localTemperature}
+              onChange={handleTemperatureChange}
+              disabled={!useAdvancedParams}
+              precision={1}
+              className="w-20"
+            />
+          </div>
+          <Slider
+            min={0}
+            max={2}
+            step={0.1}
+            value={localTemperature}
+            onChange={handleTemperatureChange}
+            disabled={!useAdvancedParams}
+            marks={{
+              0: "0",
+              1: "1.0",
+              2: "2.0",
+            }}
+          />
+        </div>
+
+        <div>
+          <div className="flex items-center justify-between mb-2">
+            <div className="flex items-center gap-1">
+              <Text className={`text-sm ${disabledTextColor}`}>Max Tokens</Text>
+              <Tooltip title="Maximum number of tokens to generate in the response.">
+                <InfoCircleOutlined className={`text-xs ${disabledTextColor} cursor-help`} />
+              </Tooltip>
+            </div>
+            <InputNumber
+              min={1}
+              max={32768}
+              step={1}
+              value={localMaxTokens}
+              onChange={handleMaxTokensChange}
+              disabled={!useAdvancedParams}
+            />
+          </div>
+          <Slider
+            min={1}
+            max={32768}
+            step={1}
+            value={localMaxTokens}
+            onChange={handleMaxTokensChange}
+            disabled={!useAdvancedParams}
+            marks={{
+              1: "1",
+              32768: "32768",
+            }}
+          />
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default AdditionalModelSettings;
diff --git a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.test.tsx b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.test.tsx
index 53fa2b0916e..9bf2d4fc14f 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.test.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.test.tsx
@@ -120,7 +120,9 @@ describe("ChatUI", () => {
 
     // Open the "Select Model" dropdown (AntD renders options in a portal)
     const selectModelLabel = getByText("Select Model");
-    const modelSelect = selectModelLabel.parentElement?.querySelector(".ant-select-selector");
+    // The Select component is a sibling of the Text component, so we need to find it in the parent container
+    const modelSelectContainer = selectModelLabel.closest("div");
+    const modelSelect = modelSelectContainer?.querySelector(".ant-select-selector");
     expect(modelSelect).toBeTruthy();
 
     fireEvent.mouseDown(modelSelect!);
@@ -164,7 +166,9 @@ describe("ChatUI", () => {
 
     // Open model selector
     const selectModelLabel = getByText("Select Model");
-    const modelSelect = selectModelLabel.parentElement?.querySelector(".ant-select-selector");
+    // The Select component is a sibling of the Text component, so we need to find it in the parent container
+    const modelSelectContainer = selectModelLabel.closest("div");
+    const modelSelect = modelSelectContainer?.querySelector(".ant-select-selector");
     expect(modelSelect).toBeTruthy();
     act(() => {
       fireEvent.mouseDown(modelSelect!);
diff --git a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx
index b65e254893f..211382541cc 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx
@@ -12,28 +12,30 @@ import {
   PictureOutlined,
   RobotOutlined,
   SafetyOutlined,
+  SettingOutlined,
   SoundOutlined,
   TagsOutlined,
   ToolOutlined,
   UserOutlined,
 } from "@ant-design/icons";
 import { Card, Text, TextInput, Title, Button as TremorButton } from "@tremor/react";
-import { Button, Input, Modal, Select, Spin, Tooltip, Typography, Upload } from "antd";
+import { Button, Input, Modal, Popover, Select, Spin, Tooltip, Typography, Upload } from "antd";
 import React, { useEffect, useRef, useState } from "react";
 import ReactMarkdown from "react-markdown";
 import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
 import { coy } from "react-syntax-highlighter/dist/esm/styles/prism";
 import { v4 as uuidv4 } from "uuid";
+import { truncateString } from "../../utils/textUtils";
 import GuardrailSelector from "../guardrails/GuardrailSelector";
 import NotificationsManager from "../molecules/notifications_manager";
 import TagSelector from "../tag_management/TagSelector";
 import VectorStoreSelector from "../vector_store_management/VectorStoreSelector";
+import AdditionalModelSettings from "./AdditionalModelSettings";
 import AudioRenderer from "./AudioRenderer";
 import { OPEN_AI_VOICE_SELECT_OPTIONS, OpenAIVoice } from "./chatConstants";
 import ChatImageRenderer from "./ChatImageRenderer";
 import ChatImageUpload from "./ChatImageUpload";
 import { createChatDisplayMessage, createChatMultimodalMessage } from "./ChatImageUtils";
-import { truncateString } from "../../utils/textUtils";
 import { generateCodeSnippet } from "./CodeSnippets";
 import EndpointSelector from "./EndpointSelector";
 import { makeAnthropicMessagesRequest } from "./llm_calls/anthropic_messages";
@@ -184,6 +186,9 @@ const ChatUI: React.FC<ChatUIProps> = ({
   const [generatedCode, setGeneratedCode] = useState("");
   const [selectedSdk, setSelectedSdk] = useState<"openai" | "azure">("openai");
   const [mcpEvents, setMCPEvents] = useState<MCPEvent[]>([]);
+  const [temperature, setTemperature] = useState<number>(1.0);
+  const [maxTokens, setMaxTokens] = useState<number>(2048);
+  const [useAdvancedParams, setUseAdvancedParams] = useState<boolean>(false);
 
   const chatEndRef = useRef<HTMLDivElement>(null);
 
@@ -765,6 +770,8 @@ const ChatUI: React.FC<ChatUIProps> = ({
             selectedMCPTools, // Pass the selected tools array
             updateChatImageUI, // Pass the image callback
             updateSearchResults, // Pass the search results callback
+            useAdvancedParams ? temperature : undefined, // Pass temperature if enabled
+            useAdvancedParams ? maxTokens : undefined, // Pass max_tokens if enabled
           );
         } else if (endpointType === EndpointType.IMAGE) {
           // For image generation
@@ -950,6 +957,19 @@ const ChatUI: React.FC<ChatUIProps> = ({
     setShowCustomModelInput(value === "custom");
   };
 
+  // Check if the selected model is a chat model
+  const isChatModel = () => {
+    if (!selectedModel || selectedModel === "custom") {
+      return false;
+    }
+    const model = modelInfo.find((m) => m.model_group === selectedModel);
+    if (!model) {
+      return false;
+    }
+    // Check if mode is explicitly "chat" or undefined (which defaults to chat per backend)
+    return !model.mode || model.mode === "chat";
+  };
+
   const antIcon = <LoadingOutlined style={{ fontSize: 24 }} spin />;
 
   return (
@@ -1037,8 +1057,44 @@ const ChatUI: React.FC<ChatUIProps> = ({
               </div>
 
               <div>
-                <Text className="font-medium block mb-2 text-gray-700 flex items-center">
-                  <RobotOutlined className="mr-2" /> Select Model
+                <Text className="font-medium block mb-2 text-gray-700 flex items-center justify-between">
+                  <span className="flex items-center">
+                    <RobotOutlined className="mr-2" /> Select Model
+                  </span>
+                  {isChatModel() ? (
+                    <Popover
+                      content={
+                        <AdditionalModelSettings
+                          temperature={temperature}
+                          maxTokens={maxTokens}
+                          useAdvancedParams={useAdvancedParams}
+                          onTemperatureChange={setTemperature}
+                          onMaxTokensChange={setMaxTokens}
+                          onUseAdvancedParamsChange={setUseAdvancedParams}
+                        />
+                      }
+                      title="Model Settings"
+                      trigger="click"
+                      placement="right"
+                    >
+                      <Button
+                        type="text"
+                        size="small"
+                        icon={<SettingOutlined />}
+                        className="text-gray-500 hover:text-gray-700"
+                      />
+                    </Popover>
+                  ) : (
+                    <Tooltip title="Advanced parameters are only supported for chat models currently">
+                      <Button
+                        type="text"
+                        size="small"
+                        icon={<SettingOutlined />}
+                        className="text-gray-300 cursor-not-allowed"
+                        disabled
+                      />
+                    </Tooltip>
+                  )}
                 </Text>
                 <Select
                   value={selectedModel}
diff --git a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.test.tsx b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.test.tsx
new file mode 100644
index 00000000000..9e4cd9abebb
--- /dev/null
+++ b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.test.tsx
@@ -0,0 +1,118 @@
+import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
+import { makeOpenAIChatCompletionRequest } from "./chat_completion";
+
+vi.mock("@/components/networking", () => ({
+  getProxyBaseUrl: vi.fn(() => "https://example.com"),
+}));
+
+// Mock the OpenAI client
+const mockCreate = vi.fn();
+const mockChatCompletions = {
+  create: mockCreate,
+};
+const mockChat = {
+  completions: mockChatCompletions,
+};
+const mockClient = {
+  chat: mockChat,
+};
+
+vi.mock("openai", () => ({
+  default: {
+    OpenAI: vi.fn(() => mockClient),
+  },
+}));
+
+describe("chat_completion", () => {
+  const mockUpdateUI = vi.fn();
+  const mockChatHistory = [{ role: "user", content: "Hello" }];
+
+  beforeEach(() => {
+    // Create a mock async iterator for streaming response
+    const mockChunks = [
+      {
+        choices: [{ delta: { content: "Hello" }, index: 0 }],
+        model: "gpt-4",
+      },
+      {
+        choices: [{ delta: { content: " there" }, index: 0 }],
+        model: "gpt-4",
+      },
+      {
+        choices: [{ delta: {}, index: 0 }],
+        model: "gpt-4",
+        usage: {
+          completion_tokens: 2,
+          prompt_tokens: 5,
+          total_tokens: 7,
+        },
+      },
+    ];
+
+    async function* mockStream() {
+      for (const chunk of mockChunks) {
+        yield chunk;
+      }
+    }
+
+    mockCreate.mockResolvedValue(mockStream());
+  });
+
+  afterEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it("should make a basic chat completion request", async () => {
+    await makeOpenAIChatCompletionRequest(mockChatHistory, mockUpdateUI, "gpt-4", "test-token");
+
+    expect(mockCreate).toHaveBeenCalledTimes(1);
+    expect(mockCreate).toHaveBeenCalledWith(
+      {
+        model: "gpt-4",
+        stream: true,
+        stream_options: {
+          include_usage: true,
+        },
+        messages: mockChatHistory,
+      },
+      { signal: undefined },
+    );
+    expect(mockUpdateUI).toHaveBeenCalledWith("Hello", "gpt-4");
+    expect(mockUpdateUI).toHaveBeenCalledWith(" there", "gpt-4");
+  });
+
+  it("should include temperature and max_tokens when provided", async () => {
+    await makeOpenAIChatCompletionRequest(
+      mockChatHistory,
+      mockUpdateUI,
+      "gpt-4",
+      "test-token",
+      undefined, // tags
+      undefined, // signal
+      undefined, // onReasoningContent
+      undefined, // onTimingData
+      undefined, // onUsageData
+      undefined, // traceId
+      undefined, // vector_store_ids
+      undefined, // guardrails
+      undefined, // selectedMCPTools
+      undefined, // onImageGenerated
+      undefined, // onSearchResults
+      0.7, // temperature
+      100, // max_tokens
+    );
+
+    expect(mockCreate).toHaveBeenCalledTimes(1);
+    const callArgs = mockCreate.mock.calls[0][0];
+    expect(callArgs).toMatchObject({
+      model: "gpt-4",
+      stream: true,
+      stream_options: {
+        include_usage: true,
+      },
+      messages: mockChatHistory,
+      temperature: 0.7,
+      max_tokens: 100,
+    });
+  });
+});
diff --git a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.tsx b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.tsx
index 7baad24e48c..214f7f42a0e 100644
--- a/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.tsx
+++ b/ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.tsx
@@ -20,6 +20,8 @@ export async function makeOpenAIChatCompletionRequest(
   selectedMCPTools?: string[],
   onImageGenerated?: (imageUrl: string, model?: string) => void,
   onSearchResults?: (searchResults: VectorStoreSearchResponse[]) => void,
+  temperature?: number,
+  max_tokens?: number,
 ) {
   // base url should be the current base_url
   const isLocal = process.env.NODE_ENV === "development";
@@ -80,6 +82,8 @@ export async function makeOpenAIChatCompletionRequest(
         ...(vector_store_ids ? { vector_store_ids } : {}),
         ...(guardrails ? { guardrails } : {}),
         ...(tools ? { tools, tool_choice: "auto" } : {}),
+        ...(temperature !== undefined ? { temperature } : {}),
+        ...(max_tokens !== undefined ? { max_tokens } : {}),
       },
       { signal },
     );