📦 chore: Bump Agents Packages (#7992)

* chore: update peer dependency for @librechat/agents to version 2.4.41

* 🔧 chore: proxy handling in OpenAI endpoint to use undici

* 🔧 chore: update @anthropic-ai/sdk to version 0.52.0 and refactor proxy handling to use undici

* 🔧 chore: update globIgnores in vite.config.ts to exclude index.html from caching

* 🔧 ci: update proxy handling in getLLMConfig to use fetchOptions and ProxyAgent

* 🔧 chore: refactor proxy handling in Anthropic and OpenAI clients to use fetchOptions

* refactor: agent initialization to streamline model parameters and resendFiles handling

* chore: update @google/generative-ai to version 0.24.0

api/server/services/Endpoints/agents/agent.js

@@ -63,11 +63,17 @@ const initializeAgent = async ({
   }
   let currentFiles;
 
-  if (
-    isInitialAgent &&
-    conversationId != null &&
-    (agent.model_parameters?.resendFiles ?? true) === true
-  ) {
+  const _modelOptions = structuredClone(
+    Object.assign(
+      { model: agent.model },
+      agent.model_parameters ?? { model: agent.model },
+      isInitialAgent === true ? endpointOption?.model_parameters : {},
+    ),
+  );
+
+  const { resendFiles = true, ...modelOptions } = _modelOptions;
+
+  if (isInitialAgent && conversationId != null && resendFiles) {
     const fileIds = (await getConvoFiles(conversationId)) ?? [];
     /** @type {Set<EToolResources>} */
     const toolResourceSet = new Set();
@@ -117,15 +123,11 @@ const initializeAgent = async ({
     getOptions = initCustom;
     agent.provider = Providers.OPENAI;
   }
-  const model_parameters = Object.assign(
-    {},
-    agent.model_parameters ?? { model: agent.model },
-    isInitialAgent === true ? endpointOption?.model_parameters : {},
-  );
+
   const _endpointOption =
     isInitialAgent === true
-      ? Object.assign({}, endpointOption, { model_parameters })
-      : { model_parameters };
+      ? Object.assign({}, endpointOption, { model_parameters: modelOptions })
+      : { model_parameters: modelOptions };
 
   const options = await getOptions({
     req,
@@ -136,6 +138,20 @@ const initializeAgent = async ({
     endpointOption: _endpointOption,
   });
 
+  const tokensModel =
+    agent.provider === EModelEndpoint.azureOpenAI ? agent.model : modelOptions.model;
+  const maxTokens = optionalChainWithEmptyCheck(
+    modelOptions.maxOutputTokens,
+    modelOptions.maxTokens,
+    0,
+  );
+  const maxContextTokens = optionalChainWithEmptyCheck(
+    modelOptions.maxContextTokens,
+    modelOptions.max_context_tokens,
+    getModelMaxTokens(tokensModel, providerEndpointMap[provider]),
+    4096,
+  );
+
   if (
     agent.endpoint === EModelEndpoint.azureOpenAI &&
     options.llmConfig?.azureOpenAIApiInstanceName == null
@@ -148,15 +164,11 @@ const initializeAgent = async ({
   }
 
   /** @type {import('@librechat/agents').ClientOptions} */
-  agent.model_parameters = Object.assign(model_parameters, options.llmConfig);
+  agent.model_parameters = { ...options.llmConfig };
   if (options.configOptions) {
     agent.model_parameters.configuration = options.configOptions;
   }
 
-  if (!agent.model_parameters.model) {
-    agent.model_parameters.model = agent.model;
-  }
-
   if (agent.instructions && agent.instructions !== '') {
     agent.instructions = replaceSpecialVars({
       text: agent.instructions,
@@ -171,23 +183,11 @@ const initializeAgent = async ({
     });
   }
 
-  const tokensModel =
-    agent.provider === EModelEndpoint.azureOpenAI ? agent.model : agent.model_parameters.model;
-  const maxTokens = optionalChainWithEmptyCheck(
-    agent.model_parameters.maxOutputTokens,
-    agent.model_parameters.maxTokens,
-    0,
-  );
-  const maxContextTokens = optionalChainWithEmptyCheck(
-    agent.model_parameters.maxContextTokens,
-    agent.max_context_tokens,
-    getModelMaxTokens(tokensModel, providerEndpointMap[provider]),
-    4096,
-  );
   return {
     ...agent,
     tools,
     attachments,
+    resendFiles,
     toolContextMap,
     maxContextTokens: (maxContextTokens - maxTokens) * 0.9,
   };

api/server/services/Endpoints/agents/initialize.js

@@ -130,8 +130,8 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     iconURL: endpointOption.iconURL,
     attachments: primaryConfig.attachments,
     endpointType: endpointOption.endpointType,
+    resendFiles: primaryConfig.resendFiles ?? true,
     maxContextTokens: primaryConfig.maxContextTokens,
-    resendFiles: primaryConfig.model_parameters?.resendFiles ?? true,
     endpoint:
       primaryConfig.id === Constants.EPHEMERAL_AGENT_ID
         ? primaryConfig.endpoint

api/server/services/Endpoints/anthropic/llm.js

@@ -1,4 +1,4 @@
-const { HttpsProxyAgent } = require('https-proxy-agent');
+const { ProxyAgent } = require('undici');
 const { anthropicSettings, removeNullishValues } = require('librechat-data-provider');
 const { checkPromptCacheSupport, getClaudeHeaders, configureReasoning } = require('./helpers');
 
@@ -67,7 +67,10 @@ function getLLMConfig(apiKey, options = {}) {
   }
 
   if (options.proxy) {
-    requestOptions.clientOptions.httpAgent = new HttpsProxyAgent(options.proxy);
+    const proxyAgent = new ProxyAgent(options.proxy);
+    requestOptions.clientOptions.fetchOptions = {
+      dispatcher: proxyAgent,
+    };
   }
 
   if (options.reverseProxyUrl) {

api/server/services/Endpoints/anthropic/llm.spec.js

@@ -21,8 +21,12 @@ describe('getLLMConfig', () => {
       proxy: 'http://proxy:8080',
     });
 
-    expect(result.llmConfig.clientOptions).toHaveProperty('httpAgent');
-    expect(result.llmConfig.clientOptions.httpAgent).toHaveProperty('proxy', 'http://proxy:8080');
+    expect(result.llmConfig.clientOptions).toHaveProperty('fetchOptions');
+    expect(result.llmConfig.clientOptions.fetchOptions).toHaveProperty('dispatcher');
+    expect(result.llmConfig.clientOptions.fetchOptions.dispatcher).toBeDefined();
+    expect(result.llmConfig.clientOptions.fetchOptions.dispatcher.constructor.name).toBe(
+      'ProxyAgent',
+    );
   });
 
   it('should include reverse proxy URL when provided', () => {