🤖 feat: Support Google Agents, fix Various Provider Configurations (#5126)

* feat: Refactor ModelEndHandler to collect usage metadata only if it exists

* feat: google tool end handling, custom anthropic class for better token ux

* refactor: differentiate between client <> request options

* feat: initial support for google agents

* feat: only cache messages with non-empty text

* feat: Cache non-empty messages in chatV2 controller

* fix: anthropic llm client options llmConfig

* refactor: streamline client options handling in LLM configuration

* fix: VertexAI Agent Auth & Tool Handling

* fix: additional fields for llmConfig, however customHeaders are not supported by langchain, requires PR

* feat: set default location for vertexai LLM configuration

* fix: outdated OpenAI Client options for getLLMConfig

* chore: agent provider options typing

* chore: add note about currently unsupported customHeaders in langchain GenAI client

* fix: skip transaction creation when rawAmount is NaN

api/app/clients/BaseClient.js

@@ -649,6 +649,7 @@ class BaseClient {
 
     this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
     this.savedMessageIds.add(responseMessage.messageId);
+    if (responseMessage.text) {
       const messageCache = getLogStores(CacheKeys.MESSAGES);
       messageCache.set(
         responseMessageId,
@@ -658,6 +659,7 @@ class BaseClient {
         },
         Time.FIVE_MINUTES,
       );
+    }
     delete responseMessage.tokenCount;
     return responseMessage;
   }

api/app/clients/PluginsClient.js

@@ -256,6 +256,7 @@ class PluginsClient extends OpenAIClient {
     }
 
     this.responsePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
+    if (responseMessage.text) {
       const messageCache = getLogStores(CacheKeys.MESSAGES);
       messageCache.set(
         responseMessage.messageId,
@@ -265,6 +266,7 @@ class PluginsClient extends OpenAIClient {
         },
         Time.FIVE_MINUTES,
       );
+    }
     delete responseMessage.tokenCount;
     return { ...responseMessage, ...result };
   }

api/models/Transaction.js

@@ -27,6 +27,9 @@ transactionSchema.methods.calculateTokenValue = function () {
  */
 transactionSchema.statics.create = async function (txData) {
   const Transaction = this;
+  if (txData.rawAmount != null && isNaN(txData.rawAmount)) {
+    return;
+  }
 
   const transaction = new Transaction(txData);
   transaction.endpointTokenConfig = txData.endpointTokenConfig;

api/models/Transaction.spec.js

@@ -1,5 +1,6 @@
 const mongoose = require('mongoose');
 const { MongoMemoryServer } = require('mongodb-memory-server');
+const { Transaction } = require('./Transaction');
 const Balance = require('./Balance');
 const { spendTokens, spendStructuredTokens } = require('./spendTokens');
 const { getMultiplier, getCacheMultiplier } = require('./tx');
@@ -346,3 +347,28 @@ describe('Structured Token Spending Tests', () => {
     expect(result.completion.completion).toBeCloseTo(-50 * 15 * 1.15, 0); // Assuming multiplier is 15 and cancelRate is 1.15
   });
 });
+
+describe('NaN Handling Tests', () => {
+  test('should skip transaction creation when rawAmount is NaN', async () => {
+    const userId = new mongoose.Types.ObjectId();
+    const initialBalance = 10000000;
+    await Balance.create({ user: userId, tokenCredits: initialBalance });
+
+    const model = 'gpt-3.5-turbo';
+    const txData = {
+      user: userId,
+      conversationId: 'test-conversation-id',
+      model,
+      context: 'test',
+      endpointTokenConfig: null,
+      rawAmount: NaN,
+      tokenType: 'prompt',
+    };
+
+    const result = await Transaction.create(txData);
+    expect(result).toBeUndefined();
+
+    const balance = await Balance.findOne({ user: userId });
+    expect(balance.tokenCredits).toBe(initialBalance);
+  });
+});

api/package.json

@@ -44,7 +44,7 @@
     "@langchain/google-genai": "^0.1.4",
     "@langchain/google-vertexai": "^0.1.4",
     "@langchain/textsplitters": "^0.1.0",
-    "@librechat/agents": "^1.8.8",
+    "@librechat/agents": "^1.9.7",
     "axios": "^1.7.7",
     "bcryptjs": "^2.4.3",
     "cheerio": "^1.0.0-rc.12",

api/server/controllers/agents/callbacks.js

@@ -1,8 +1,10 @@
 const { Tools, StepTypes, imageGenTools, FileContext } = require('librechat-data-provider');
 const {
   EnvVar,
+  Providers,
   GraphEvents,
   ToolEndHandler,
+  handleToolCalls,
   ChatModelStreamHandler,
 } = require('@librechat/agents');
 const { processCodeOutput } = require('~/server/services/Files/Code/process');
@@ -57,13 +59,22 @@ class ModelEndHandler {
       return;
     }
 
+    try {
+      if (metadata.provider === Providers.GOOGLE) {
+        handleToolCalls(data?.output?.tool_calls, metadata, graph);
+      }
+
       const usage = data?.output?.usage_metadata;
+      if (!usage) {
+        return;
+      }
       if (metadata?.model) {
         usage.model = metadata.model;
       }
 
-    if (usage) {
       this.collectedUsage.push(usage);
+    } catch (error) {
+      logger.error('Error handling model end event:', error);
     }
   }
 }

api/server/controllers/assistants/chatV2.js

@@ -398,6 +398,7 @@ const chatV2 = async (req, res) => {
       response = streamRunManager;
       response.text = streamRunManager.intermediateText;
 
+      if (response.text) {
         const messageCache = getLogStores(CacheKeys.MESSAGES);
         messageCache.set(
           responseMessageId,
@@ -407,6 +408,7 @@ const chatV2 = async (req, res) => {
           },
           Time.FIVE_MINUTES,
         );
+      }
     };
 
     await processRun();

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

@@ -12,6 +12,7 @@ const initAnthropic = require('~/server/services/Endpoints/anthropic/initialize'
 const getBedrockOptions = require('~/server/services/Endpoints/bedrock/options');
 const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
 const initCustom = require('~/server/services/Endpoints/custom/initialize');
+const initGoogle = require('~/server/services/Endpoints/google/initialize');
 const { getCustomEndpointConfig } = require('~/server/services/Config');
 const { loadAgentTools } = require('~/server/services/ToolService');
 const AgentClient = require('~/server/controllers/agents/client');
@@ -24,6 +25,7 @@ const providerConfigMap = {
   [EModelEndpoint.azureOpenAI]: initOpenAI,
   [EModelEndpoint.anthropic]: initAnthropic,
   [EModelEndpoint.bedrock]: getBedrockOptions,
+  [EModelEndpoint.google]: initGoogle,
   [Providers.OLLAMA]: initCustom,
 };
 
@@ -116,6 +118,10 @@ const initializeAgentOptions = async ({
     endpointOption: _endpointOption,
   });
 
+  if (options.provider != null) {
+    agent.provider = options.provider;
+  }
+
   agent.model_parameters = Object.assign(model_parameters, options.llmConfig);
   if (options.configOptions) {
     agent.model_parameters.configuration = options.configOptions;

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

@@ -20,7 +20,7 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
     checkUserKeyExpiry(expiresAt, EModelEndpoint.anthropic);
   }
 
-  const clientOptions = {};
+  let clientOptions = {};
 
   /** @type {undefined | TBaseEndpoint} */
   const anthropicConfig = req.app.locals[EModelEndpoint.anthropic];
@@ -36,7 +36,7 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
   }
 
   if (optionsOnly) {
-    const requestOptions = Object.assign(
+    clientOptions = Object.assign(
       {
         reverseProxyUrl: ANTHROPIC_REVERSE_PROXY ?? null,
         proxy: PROXY ?? null,
@@ -45,9 +45,9 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
       clientOptions,
     );
     if (overrideModel) {
-      requestOptions.modelOptions.model = overrideModel;
+      clientOptions.modelOptions.model = overrideModel;
     }
-    return getLLMConfig(anthropicApiKey, requestOptions);
+    return getLLMConfig(anthropicApiKey, clientOptions);
   }
 
   const client = new AnthropicClient(anthropicApiKey, {

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

@@ -28,28 +28,32 @@ function getLLMConfig(apiKey, options = {}) {
 
   const mergedOptions = Object.assign(defaultOptions, options.modelOptions);
 
+  /** @type {AnthropicClientOptions} */
   const requestOptions = {
     apiKey,
     model: mergedOptions.model,
     stream: mergedOptions.stream,
     temperature: mergedOptions.temperature,
-    top_p: mergedOptions.topP,
+    topP: mergedOptions.topP,
-    top_k: mergedOptions.topK,
+    topK: mergedOptions.topK,
-    stop_sequences: mergedOptions.stop,
+    stopSequences: mergedOptions.stop,
-    max_tokens:
+    maxTokens:
       mergedOptions.maxOutputTokens || anthropicSettings.maxOutputTokens.reset(mergedOptions.model),
+    clientOptions: {},
   };
 
-  const configOptions = {};
   if (options.proxy) {
-    configOptions.httpAgent = new HttpsProxyAgent(options.proxy);
+    requestOptions.clientOptions.httpAgent = new HttpsProxyAgent(options.proxy);
   }
 
   if (options.reverseProxyUrl) {
-    configOptions.baseURL = options.reverseProxyUrl;
+    requestOptions.clientOptions.baseURL = options.reverseProxyUrl;
   }
 
-  return { llmConfig: removeNullishValues(requestOptions), configOptions };
+  return {
+    /** @type {AnthropicClientOptions} */
+    llmConfig: removeNullishValues(requestOptions),
+  };
 }
 
 module.exports = { getLLMConfig };

api/server/services/Endpoints/bedrock/options.js

@@ -60,9 +60,8 @@ const getOptions = async ({ req, endpointOption }) => {
     streamRate = allConfig.streamRate;
   }
 
-  /** @type {import('@librechat/agents').BedrockConverseClientOptions} */
+  /** @type {BedrockClientOptions} */
-  const requestOptions = Object.assign(
+  const requestOptions = {
-    {
     model: endpointOption.model,
     region: BEDROCK_AWS_DEFAULT_REGION,
     streaming: true,
@@ -77,25 +76,25 @@ const getOptions = async ({ req, endpointOption }) => {
         },
       },
     ],
-    },
+  };
-    endpointOption.model_parameters,
-  );
 
   if (credentials) {
     requestOptions.credentials = credentials;
   }
 
+  if (BEDROCK_REVERSE_PROXY) {
+    requestOptions.endpointHost = BEDROCK_REVERSE_PROXY;
+  }
+
   const configOptions = {};
   if (PROXY) {
+    /** NOTE: NOT SUPPORTED BY BEDROCK */
     configOptions.httpAgent = new HttpsProxyAgent(PROXY);
   }
 
-  if (BEDROCK_REVERSE_PROXY) {
-    configOptions.endpointHost = BEDROCK_REVERSE_PROXY;
-  }
-
   return {
-    llmConfig: removeNullishValues(requestOptions),
+    /** @type {BedrockClientOptions} */
+    llmConfig: removeNullishValues(Object.assign(requestOptions, endpointOption.model_parameters)),
     configOptions,
   };
 };

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

@@ -123,7 +123,7 @@ const initializeClient = async ({ req, res, endpointOption, optionsOnly, overrid
     customOptions.streamRate = allConfig.streamRate;
   }
 
-  const clientOptions = {
+  let clientOptions = {
     reverseProxyUrl: baseURL ?? null,
     proxy: PROXY ?? null,
     req,
@@ -135,13 +135,13 @@ const initializeClient = async ({ req, res, endpointOption, optionsOnly, overrid
   if (optionsOnly) {
     const modelOptions = endpointOption.model_parameters;
     if (endpoint !== Providers.OLLAMA) {
-      const requestOptions = Object.assign(
+      clientOptions = Object.assign(
         {
           modelOptions,
         },
         clientOptions,
       );
-      const options = getLLMConfig(apiKey, requestOptions);
+      const options = getLLMConfig(apiKey, clientOptions);
       if (!customOptions.streamRate) {
         return options;
       }

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

@@ -1,9 +1,10 @@
 const { EModelEndpoint, AuthKeys } = require('librechat-data-provider');
 const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
-const { GoogleClient } = require('~/app');
+const { getLLMConfig } = require('~/server/services/Endpoints/google/llm');
 const { isEnabled } = require('~/server/utils');
+const { GoogleClient } = require('~/app');
 
-const initializeClient = async ({ req, res, endpointOption }) => {
+const initializeClient = async ({ req, res, endpointOption, overrideModel, optionsOnly }) => {
   const {
     GOOGLE_KEY,
     GOOGLE_REVERSE_PROXY,
@@ -33,7 +34,7 @@ const initializeClient = async ({ req, res, endpointOption }) => {
       [AuthKeys.GOOGLE_API_KEY]: GOOGLE_KEY,
     };
 
-  const clientOptions = {};
+  let clientOptions = {};
 
   /** @type {undefined | TBaseEndpoint} */
   const allConfig = req.app.locals.all;
@@ -48,7 +49,7 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     clientOptions.streamRate = allConfig.streamRate;
   }
 
-  const client = new GoogleClient(credentials, {
+  clientOptions = {
     req,
     res,
     reverseProxyUrl: GOOGLE_REVERSE_PROXY ?? null,
@@ -56,7 +57,22 @@ const initializeClient = async ({ req, res, endpointOption }) => {
     proxy: PROXY ?? null,
     ...clientOptions,
     ...endpointOption,
-  });
+  };
+
+  if (optionsOnly) {
+    clientOptions = Object.assign(
+      {
+        modelOptions: endpointOption.model_parameters,
+      },
+      clientOptions,
+    );
+    if (overrideModel) {
+      clientOptions.modelOptions.model = overrideModel;
+    }
+    return getLLMConfig(credentials, clientOptions);
+  }
+
+  const client = new GoogleClient(credentials, clientOptions);
 
   return {
     client,

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

@@ -0,0 +1,146 @@
+const { Providers } = require('@librechat/agents');
+const { AuthKeys } = require('librechat-data-provider');
+
+// Example internal constant from your code
+const EXCLUDED_GENAI_MODELS = /gemini-(?:1\.0|1-0|pro)/;
+
+function getSafetySettings() {
+  return [
+    {
+      category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
+      threshold: process.env.GOOGLE_SAFETY_SEXUALLY_EXPLICIT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
+    },
+    {
+      category: 'HARM_CATEGORY_HATE_SPEECH',
+      threshold: process.env.GOOGLE_SAFETY_HATE_SPEECH || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
+    },
+    {
+      category: 'HARM_CATEGORY_HARASSMENT',
+      threshold: process.env.GOOGLE_SAFETY_HARASSMENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
+    },
+    {
+      category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
+      threshold: process.env.GOOGLE_SAFETY_DANGEROUS_CONTENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
+    },
+    {
+      category: 'HARM_CATEGORY_CIVIC_INTEGRITY',
+      threshold: process.env.GOOGLE_SAFETY_CIVIC_INTEGRITY || 'BLOCK_NONE',
+    },
+  ];
+}
+
+/**
+ * Replicates core logic from GoogleClient's constructor and setOptions, plus client determination.
+ * Returns an object with the provider label and the final options that would be passed to createLLM.
+ *
+ * @param {string | object} credentials - Either a JSON string or an object containing Google keys
+ * @param {object} [options={}]         - The same shape as the "GoogleClient" constructor options
+ */
+
+function getLLMConfig(credentials, options = {}) {
+  // 1. Parse credentials
+  let creds = {};
+  if (typeof credentials === 'string') {
+    try {
+      creds = JSON.parse(credentials);
+    } catch (err) {
+      throw new Error(`Error parsing string credentials: ${err.message}`);
+    }
+  } else if (credentials && typeof credentials === 'object') {
+    creds = credentials;
+  }
+
+  // Extract from credentials
+  const serviceKeyRaw = creds[AuthKeys.GOOGLE_SERVICE_KEY] ?? {};
+  const serviceKey =
+    typeof serviceKeyRaw === 'string' ? JSON.parse(serviceKeyRaw) : serviceKeyRaw ?? {};
+
+  const project_id = serviceKey?.project_id ?? null;
+  const apiKey = creds[AuthKeys.GOOGLE_API_KEY] ?? null;
+
+  const reverseProxyUrl = options.reverseProxyUrl;
+  const authHeader = options.authHeader;
+
+  /** @type {GoogleClientOptions | VertexAIClientOptions} */
+  let llmConfig = {
+    ...(options.modelOptions || {}),
+    safetySettings: getSafetySettings(),
+    maxRetries: 2,
+  };
+
+  const isGenerativeModel = llmConfig.model.includes('gemini');
+  const isChatModel = !isGenerativeModel && llmConfig.model.includes('chat');
+  const isTextModel = !isGenerativeModel && !isChatModel && /code|text/.test(llmConfig.model);
+
+  let provider;
+
+  if (project_id && isTextModel) {
+    provider = Providers.VERTEXAI;
+  } else if (project_id && isChatModel) {
+    provider = Providers.VERTEXAI;
+  } else if (project_id) {
+    provider = Providers.VERTEXAI;
+  } else if (!EXCLUDED_GENAI_MODELS.test(llmConfig.model)) {
+    provider = Providers.GOOGLE;
+  } else {
+    provider = Providers.GOOGLE;
+  }
+
+  // If we have a GCP project => Vertex AI
+  if (project_id && provider === Providers.VERTEXAI) {
+    /** @type {VertexAIClientOptions['authOptions']} */
+    llmConfig.authOptions = {
+      credentials: { ...serviceKey },
+      projectId: project_id,
+    };
+    llmConfig.location = process.env.GOOGLE_LOC || 'us-central1';
+  } else if (apiKey && provider === Providers.GOOGLE) {
+    llmConfig.apiKey = apiKey;
+  }
+
+  /*
+  let legacyOptions = {};
+  // Filter out any "examples" that are empty
+  legacyOptions.examples = (legacyOptions.examples ?? [])
+    .filter(Boolean)
+    .filter((obj) => obj?.input?.content !== '' && obj?.output?.content !== '');
+
+  // If user has "examples" from legacyOptions, push them onto llmConfig
+  if (legacyOptions.examples?.length) {
+    llmConfig.examples = legacyOptions.examples.map((ex) => {
+      const { input, output } = ex;
+      if (!input?.content || !output?.content) {return undefined;}
+      return {
+        input: new HumanMessage(input.content),
+        output: new AIMessage(output.content),
+      };
+    }).filter(Boolean);
+  }
+  */
+
+  if (reverseProxyUrl) {
+    llmConfig.baseUrl = reverseProxyUrl;
+  }
+
+  if (authHeader) {
+    /**
+     * NOTE: NOT SUPPORTED BY LANGCHAIN GENAI CLIENT,
+     * REQUIRES PR IN https://github.com/langchain-ai/langchainjs
+     */
+    llmConfig.customHeaders = {
+      Authorization: `Bearer ${apiKey}`,
+    };
+  }
+
+  // Return the final shape
+  return {
+    /** @type {Providers.GOOGLE | Providers.VERTEXAI} */
+    provider,
+    /** @type {GoogleClientOptions | VertexAIClientOptions} */
+    llmConfig,
+  };
+}
+
+module.exports = {
+  getLLMConfig,
+};

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

@@ -54,7 +54,7 @@ const initializeClient = async ({
   let apiKey = userProvidesKey ? userValues?.apiKey : credentials[endpoint];
   let baseURL = userProvidesURL ? userValues?.baseURL : baseURLOptions[endpoint];
 
-  const clientOptions = {
+  let clientOptions = {
     contextStrategy,
     proxy: PROXY ?? null,
     debug: isEnabled(DEBUG_OPENAI),
@@ -134,13 +134,13 @@ const initializeClient = async ({
   }
 
   if (optionsOnly) {
-    const requestOptions = Object.assign(
+    clientOptions = Object.assign(
       {
         modelOptions: endpointOption.model_parameters,
       },
       clientOptions,
     );
-    const options = getLLMConfig(apiKey, requestOptions);
+    const options = getLLMConfig(apiKey, clientOptions);
     if (!clientOptions.streamRate) {
       return options;
     }

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

@@ -38,6 +38,7 @@ function getLLMConfig(apiKey, options = {}) {
     dropParams,
   } = options;
 
+  /** @type {OpenAIClientOptions} */
   let llmConfig = {
     streaming,
   };
@@ -54,29 +55,28 @@ function getLLMConfig(apiKey, options = {}) {
     });
   }
 
+  /** @type {OpenAIClientOptions['configuration']} */
   const configOptions = {};
 
   // Handle OpenRouter or custom reverse proxy
   if (useOpenRouter || reverseProxyUrl === 'https://openrouter.ai/api/v1') {
-    configOptions.basePath = 'https://openrouter.ai/api/v1';
+    configOptions.baseURL = 'https://openrouter.ai/api/v1';
-    configOptions.baseOptions = {
+    configOptions.defaultHeaders = Object.assign(
-      headers: Object.assign(
       {
         'HTTP-Referer': 'https://librechat.ai',
         'X-Title': 'LibreChat',
       },
       headers,
-      ),
+    );
-    };
   } else if (reverseProxyUrl) {
-    configOptions.basePath = reverseProxyUrl;
+    configOptions.baseURL = reverseProxyUrl;
     if (headers) {
-      configOptions.baseOptions = { headers };
+      configOptions.defaultHeaders = headers;
     }
   }
 
   if (defaultQuery) {
-    configOptions.baseOptions.defaultQuery = defaultQuery;
+    configOptions.defaultQuery = defaultQuery;
   }
 
   if (proxy) {
@@ -97,9 +97,9 @@ function getLLMConfig(apiKey, options = {}) {
       llmConfig.model = process.env.AZURE_OPENAI_DEFAULT_MODEL;
     }
 
-    if (configOptions.basePath) {
+    if (configOptions.baseURL) {
       const azureURL = constructAzureURL({
-        baseURL: configOptions.basePath,
+        baseURL: configOptions.baseURL,
         azureOptions: azure,
       });
       azure.azureOpenAIBasePath = azureURL.split(`/${azure.azureOpenAIApiDeploymentName}`)[0];
@@ -118,7 +118,12 @@ function getLLMConfig(apiKey, options = {}) {
     llmConfig.organization = process.env.OPENAI_ORGANIZATION;
   }
 
-  return { llmConfig, configOptions };
+  return {
+    /** @type {OpenAIClientOptions} */
+    llmConfig,
+    /** @type {OpenAIClientOptions['configuration']} */
+    configOptions,
+  };
 }
 
 module.exports = { getLLMConfig };

api/typedefs.js

@@ -38,12 +38,36 @@
  * @memberof typedefs
  */
 
+/**
+ * @exports OpenAIClientOptions
+ * @typedef {import('@librechat/agents').OpenAIClientOptions} OpenAIClientOptions
+ * @memberof typedefs
+ */
+
+/**
+ * @exports AnthropicClientOptions
+ * @typedef {import('@librechat/agents').AnthropicClientOptions} AnthropicClientOptions
+ * @memberof typedefs
+ */
+
 /**
  * @exports BedrockClientOptions
  * @typedef {import('@librechat/agents').BedrockConverseClientOptions} BedrockClientOptions
  * @memberof typedefs
  */
 
+/**
+ * @exports VertexAIClientOptions
+ * @typedef {import('@librechat/agents').VertexAIClientOptions} VertexAIClientOptions
+ * @memberof typedefs
+ */
+
+/**
+ * @exports GoogleClientOptions
+ * @typedef {import('@librechat/agents').GoogleClientOptions} GoogleClientOptions
+ * @memberof typedefs
+ */
+
 /**
  * @exports StreamEventData
  * @typedef {import('@librechat/agents').StreamEventData} StreamEventData

package-lock.json

@@ -53,7 +53,7 @@
         "@langchain/google-genai": "^0.1.4",
         "@langchain/google-vertexai": "^0.1.4",
         "@langchain/textsplitters": "^0.1.0",
-        "@librechat/agents": "^1.8.8",
+        "@librechat/agents": "^1.9.7",
         "axios": "^1.7.7",
         "bcryptjs": "^2.4.3",
         "cheerio": "^1.0.0-rc.12",
@@ -121,45 +121,6 @@
         "supertest": "^6.3.3"
       }
     },
-    "api/node_modules/@anthropic-ai/sdk": {
-      "version": "0.32.1",
-      "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.32.1.tgz",
-      "integrity": "sha512-U9JwTrDvdQ9iWuABVsMLj8nJVwAyQz6QXvgLsVhryhCEPkLsbcP/MXxm+jYcAwLoV8ESbaTTjnD4kuAFa+Hyjg==",
-      "dependencies": {
-        "@types/node": "^18.11.18",
-        "@types/node-fetch": "^2.6.4",
-        "abort-controller": "^3.0.0",
-        "agentkeepalive": "^4.2.1",
-        "form-data-encoder": "1.7.2",
-        "formdata-node": "^4.3.2",
-        "node-fetch": "^2.6.7"
-      }
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