🪐 feat: Initial OpenAI Responses API Support (#8149)

* chore: update @librechat/agents to v2.4.47

* WIP: temporary auto-toggle responses api for o1/o3-pro

* feat: Enable Responses API for OpenAI models

- Updated the OpenAI client initialization to check for the useResponsesApi parameter in model options.
- Added translations for enabling the Responses API in the UI.
- Introduced useResponsesApi parameter in data provider settings and schemas.
- Updated relevant schemas to include useResponsesApi for conversation and preset configurations.

* refactor: Remove useResponsesApi check from OpenAI client initialization and update translation for Responses API

- Removed the check for useResponsesApi in the OpenAI client initialization.
- Updated the translation for enabling the Responses API to clarify its functionality.

* chore: update @librechat/agents dependency to version 2.4.48

* chore: update @librechat/agents dependency to version 2.4.49

* chore: linting

* chore: linting

* feat: Enhance DynamicSlider and validation for enumMappings

- Added support for enumMappings in DynamicSlider to display values correctly based on enum settings.
- Implemented validation for enumMappings in the generate function to ensure all options have corresponding mappings.
- Added tests for handling empty string options and incomplete enumMappings in the generate.spec.ts file.

* feat: Enhance DynamicSlider localization support

- Added localization handling for mapped values in DynamicSlider when using enumMappings.
- Updated the logic to check if the mapped value is a localization key and return the localized string if applicable.
- Adjusted dependencies in useCallback hooks to include localize for proper functionality.

* feat: Add reasoning summary and effort options to OpenAI configuration and UI

* feat: Add enumMappings for ImageDetail options in parameter settings

* style: Improve styling for DynamicSlider component labels and inputs

* chore: Update reasoning effort description and parameter order for OpenAI params

---------

Co-authored-by: Dustin Healy <dustinhealy1@gmail.com>

packages/data-provider/specs/generate.spec.ts

@@ -1,4 +1,3 @@
-/* eslint-disable jest/no-conditional-expect */
 import { ZodError, z } from 'zod';
 import { generateDynamicSchema, validateSettingDefinitions, OptionTypes } from '../src/generate';
 import type { SettingsConfiguration } from '../src/generate';
@@ -97,6 +96,37 @@ describe('generateDynamicSchema', () => {
     expect(result['data']).toEqual({ testEnum: 'option2' });
   });
 
+  it('should generate a schema for enum settings with empty string option', () => {
+    const settings: SettingsConfiguration = [
+      {
+        key: 'testEnumWithEmpty',
+        description: 'A test enum setting with empty string',
+        type: 'enum',
+        default: '',
+        options: ['', 'option1', 'option2'],
+        enumMappings: {
+          '': 'None',
+          option1: 'First Option',
+          option2: 'Second Option',
+        },
+        component: 'slider',
+        columnSpan: 2,
+        label: 'Test Enum with Empty String',
+      },
+    ];
+
+    const schema = generateDynamicSchema(settings);
+    const result = schema.safeParse({ testEnumWithEmpty: '' });
+
+    expect(result.success).toBeTruthy();
+    expect(result['data']).toEqual({ testEnumWithEmpty: '' });
+
+    // Test with non-empty option
+    const result2 = schema.safeParse({ testEnumWithEmpty: 'option1' });
+    expect(result2.success).toBeTruthy();
+    expect(result2['data']).toEqual({ testEnumWithEmpty: 'option1' });
+  });
+
   it('should fail for incorrect enum value', () => {
     const settings: SettingsConfiguration = [
       {
@@ -481,6 +511,47 @@ describe('validateSettingDefinitions', () => {
 
     expect(() => validateSettingDefinitions(settingsExceedingMaxTags)).toThrow(ZodError);
   });
+
+  // Test for incomplete enumMappings
+  test('should throw error for incomplete enumMappings', () => {
+    const settingsWithIncompleteEnumMappings: SettingsConfiguration = [
+      {
+        key: 'displayMode',
+        type: 'enum',
+        component: 'dropdown',
+        options: ['light', 'dark', 'auto'],
+        enumMappings: {
+          light: 'Light Mode',
+          dark: 'Dark Mode',
+          // Missing mapping for 'auto'
+        },
+        optionType: OptionTypes.Custom,
+      },
+    ];
+
+    expect(() => validateSettingDefinitions(settingsWithIncompleteEnumMappings)).toThrow(ZodError);
+  });
+
+  // Test for complete enumMappings including empty string
+  test('should not throw error for complete enumMappings including empty string', () => {
+    const settingsWithCompleteEnumMappings: SettingsConfiguration = [
+      {
+        key: 'selectionMode',
+        type: 'enum',
+        component: 'slider',
+        options: ['', 'single', 'multiple'],
+        enumMappings: {
+          '': 'None',
+          single: 'Single Selection',
+          multiple: 'Multiple Selection',
+        },
+        default: '',
+        optionType: OptionTypes.Custom,
+      },
+    ];
+
+    expect(() => validateSettingDefinitions(settingsWithCompleteEnumMappings)).not.toThrow();
+  });
 });
 
 const settingsConfiguration: SettingsConfiguration = [
@@ -515,7 +586,7 @@ const settingsConfiguration: SettingsConfiguration = [
   {
     key: 'presence_penalty',
     description:
-      'Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics.',
+      "Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
     type: 'number',
     default: 0,
     range: {
@@ -529,7 +600,7 @@ const settingsConfiguration: SettingsConfiguration = [
   {
     key: 'frequency_penalty',
     description:
-      'Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim.',
+      "Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
     type: 'number',
     default: 0,
     range: {