🔍 feat: Web Search via OpenAI Responses API (#8186)

* 🔍 feat: Introduce Web Search Functionality for OpenAI API

- Added a new web_search parameter to enable web search capabilities in the OpenAI configuration.
- Updated the DynamicSlider component for improved styling.
- Enhanced the useSetIndexOptions hook to auto-enable the Responses API when web search is activated.
- Modified relevant schemas, types, and translation files to support the new web search feature.

* chore: remove comments

* refactor: tool handling in initializeAgent for better clarity and functionality and reflection of openai features

---------

Co-authored-by: Danny Avila <danny@librechat.ai>

packages/api/src/endpoints/openai/llm.ts

@@ -1,5 +1,6 @@
 import { ProxyAgent } from 'undici';
 import { KnownEndpoints, removeNullishValues } from 'librechat-data-provider';
+import type { BindToolsInput } from '@langchain/core/language_models/chat_models';
 import type { AzureOpenAIInput } from '@langchain/openai';
 import type { OpenAI } from 'openai';
 import type * as t from '~/types';
@@ -176,6 +177,13 @@ export function getOpenAIConfig(
     delete llmConfig.max_tokens;
   }
 
+  const tools: BindToolsInput[] = [];
+
+  if (modelOptions.web_search) {
+    llmConfig.useResponsesApi = true;
+    tools.push({ type: 'web_search_preview' });
+  }
+
   /**
    * Note: OpenAI Web Search models do not support any known parameters besides `max_tokens`
    */
@@ -216,5 +224,6 @@ export function getOpenAIConfig(
   return {
     llmConfig,
     configOptions,
+    tools,
   };
 }

packages/api/src/types/openai.ts

@@ -1,6 +1,7 @@
 import { z } from 'zod';
 import { openAISchema, EModelEndpoint } from 'librechat-data-provider';
 import type { TEndpointOption, TAzureConfig, TEndpoint } from 'librechat-data-provider';
+import type { BindToolsInput } from '@langchain/core/language_models/chat_models';
 import type { OpenAIClientOptions } from '@librechat/agents';
 import type { AzureOptions } from './azure';
 
@@ -33,6 +34,7 @@ export type ClientOptions = OpenAIClientOptions & {
 export interface LLMConfigResult {
   llmConfig: ClientOptions;
   configOptions: OpenAIConfiguration;
+  tools?: BindToolsInput[];
 }
 
 /**