🆕 feat: Enhanced Title Generation Config Options (#8580)

* 🏗️ refactor: Extract reasoning key logic into separate function

* refactor: Ensure `overrideProvider` is always defined in `getProviderConfig` result, and only used in `initializeAgent` if different from `agent.provider`

* feat: new title configuration options across services

- titlePrompt
- titleEndpoint
- titlePromptTemplate
- new "completion" titleMethod (new default)

* chore: update @librechat/agents and conform openai version to prevent SDK errors

* chore: add form-data package as a dependency and override to v4.0.4 to address CVE-2025-7783

* feat: add support for 'all' endpoint configuration in AppService and corresponding tests

* refactor: replace HttpsProxyAgent with ProxyAgent from undici for improved proxy handling in assistant initialization

* chore: update frontend review workflow to limit package paths to data-provider

* chore: update backend review workflow to include all package paths

.github/workflows/backend-review.yml

@@ -7,7 +7,7 @@ on:
       - release/*
     paths:
       - 'api/**'
-      - 'packages/api/**'
+      - 'packages/**'
 jobs:
   tests_Backend:
     name: Run Backend unit tests

.github/workflows/frontend-review.yml

@@ -8,7 +8,7 @@ on:
       - release/*
     paths:
       - 'client/**'
-      - 'packages/**'
+      - 'packages/data-provider/**'
 
 jobs:
   tests_frontend_ubuntu:

api/package.json

@@ -49,7 +49,7 @@
     "@langchain/google-vertexai": "^0.2.13",
     "@langchain/openai": "^0.5.18",
     "@langchain/textsplitters": "^0.1.0",
-    "@librechat/agents": "^2.4.63",
+    "@librechat/agents": "^2.4.67",
     "@librechat/api": "*",
     "@librechat/data-schemas": "*",
     "@node-saml/passport-saml": "^5.0.0",
@@ -71,6 +71,7 @@
     "express-static-gzip": "^2.2.0",
     "file-type": "^18.7.0",
     "firebase": "^11.0.2",
+    "form-data": "^4.0.4",
     "googleapis": "^126.0.1",
     "handlebars": "^4.7.7",
     "https-proxy-agent": "^7.0.6",
@@ -93,7 +94,7 @@
     "node-fetch": "^2.7.0",
     "nodemailer": "^6.9.15",
     "ollama": "^0.5.0",
-    "openai": "^4.96.2",
+    "openai": "^5.10.1",
     "openai-chat-tokens": "^0.2.8",
     "openid-client": "^6.5.0",
     "passport": "^0.6.0",

api/server/controllers/agents/client.js

@@ -15,6 +15,7 @@ const {
   Callback,
   Providers,
   GraphEvents,
+  TitleMethod,
   formatMessage,
   formatAgentMessages,
   getTokenCountForMessage,
@@ -1009,7 +1010,7 @@ class AgentClient extends BaseClient {
     }
     const { handleLLMEnd, collected: collectedMetadata } = createMetadataAggregator();
     const { req, res, agent } = this.options;
-    const endpoint = agent.endpoint;
+    let endpoint = agent.endpoint;
 
     /** @type {import('@librechat/agents').ClientOptions} */
     let clientOptions = {
@@ -1017,17 +1018,32 @@ class AgentClient extends BaseClient {
       model: agent.model_parameters.model,
     };
 
-    const { getOptions, overrideProvider, customEndpointConfig } =
+    let titleProviderConfig = await getProviderConfig(endpoint);
-      await getProviderConfig(endpoint);
 
     /** @type {TEndpoint | undefined} */
-    const endpointConfig = req.app.locals[endpoint] ?? customEndpointConfig;
+    const endpointConfig =
+      req.app.locals.all ?? req.app.locals[endpoint] ?? titleProviderConfig.customEndpointConfig;
     if (!endpointConfig) {
       logger.warn(
         '[api/server/controllers/agents/client.js #titleConvo] Error getting endpoint config',
       );
     }
 
+    if (endpointConfig?.titleEndpoint && endpointConfig.titleEndpoint !== endpoint) {
+      try {
+        titleProviderConfig = await getProviderConfig(endpointConfig.titleEndpoint);
+        endpoint = endpointConfig.titleEndpoint;
+      } catch (error) {
+        logger.warn(
+          `[api/server/controllers/agents/client.js #titleConvo] Error getting title endpoint config for ${endpointConfig.titleEndpoint}, falling back to default`,
+          error,
+        );
+        // Fall back to original provider config
+        endpoint = agent.endpoint;
+        titleProviderConfig = await getProviderConfig(endpoint);
+      }
+    }
+
     if (
       endpointConfig &&
       endpointConfig.titleModel &&
@@ -1036,7 +1052,7 @@ class AgentClient extends BaseClient {
       clientOptions.model = endpointConfig.titleModel;
     }
 
-    const options = await getOptions({
+    const options = await titleProviderConfig.getOptions({
       req,
       res,
       optionsOnly: true,
@@ -1045,7 +1061,7 @@ class AgentClient extends BaseClient {
       endpointOption: { model_parameters: clientOptions },
     });
 
-    let provider = options.provider ?? overrideProvider ?? agent.provider;
+    let provider = options.provider ?? titleProviderConfig.overrideProvider ?? agent.provider;
     if (
       endpoint === EModelEndpoint.azureOpenAI &&
       options.llmConfig?.azureOpenAIApiInstanceName == null
@@ -1078,16 +1094,23 @@ class AgentClient extends BaseClient {
       ),
     );
 
-    if (provider === Providers.GOOGLE) {
+    if (
+      provider === Providers.GOOGLE &&
+      (endpointConfig?.titleMethod === TitleMethod.FUNCTIONS ||
+        endpointConfig?.titleMethod === TitleMethod.STRUCTURED)
+    ) {
       clientOptions.json = true;
     }
 
     try {
       const titleResult = await this.run.generateTitle({
         provider,
+        clientOptions,
         inputText: text,
         contentParts: this.contentParts,
-        clientOptions,
+        titleMethod: endpointConfig?.titleMethod,
+        titlePrompt: endpointConfig?.titlePrompt,
+        titlePromptTemplate: endpointConfig?.titlePromptTemplate,
         chainOptions: {
           signal: abortController.signal,
           callbacks: [

api/server/controllers/agents/client.test.js

@@ -0,0 +1,730 @@
+const { Providers } = require('@librechat/agents');
+const { Constants, EModelEndpoint } = require('librechat-data-provider');
+const AgentClient = require('./client');
+
+jest.mock('@librechat/agents', () => ({
+  ...jest.requireActual('@librechat/agents'),
+  createMetadataAggregator: () => ({
+    handleLLMEnd: jest.fn(),
+    collected: [],
+  }),
+}));
+
+describe('AgentClient - titleConvo', () => {
+  let client;
+  let mockRun;
+  let mockReq;
+  let mockRes;
+  let mockAgent;
+  let mockOptions;
+
+  beforeEach(() => {
+    // Reset all mocks
+    jest.clearAllMocks();
+
+    // Mock run object
+    mockRun = {
+      generateTitle: jest.fn().mockResolvedValue({
+        title: 'Generated Title',
+      }),
+    };
+
+    // Mock agent - with both endpoint and provider
+    mockAgent = {
+      id: 'agent-123',
+      endpoint: EModelEndpoint.openAI, // Use a valid provider as endpoint for getProviderConfig
+      provider: EModelEndpoint.openAI, // Add provider property
+      model_parameters: {
+        model: 'gpt-4',
+      },
+    };
+
+    // Mock request and response
+    mockReq = {
+      app: {
+        locals: {
+          [EModelEndpoint.openAI]: {
+            // Match the agent endpoint
+            titleModel: 'gpt-3.5-turbo',
+            titlePrompt: 'Custom title prompt',
+            titleMethod: 'structured',
+            titlePromptTemplate: 'Template: {{content}}',
+          },
+        },
+      },
+      user: {
+        id: 'user-123',
+      },
+      body: {
+        model: 'gpt-4',
+        endpoint: EModelEndpoint.openAI,
+        key: null,
+      },
+    };
+
+    mockRes = {};
+
+    // Mock options
+    mockOptions = {
+      req: mockReq,
+      res: mockRes,
+      agent: mockAgent,
+      endpointTokenConfig: {},
+    };
+
+    // Create client instance
+    client = new AgentClient(mockOptions);
+    client.run = mockRun;
+    client.responseMessageId = 'response-123';
+    client.conversationId = 'convo-123';
+    client.contentParts = [{ type: 'text', text: 'Test content' }];
+    client.recordCollectedUsage = jest.fn().mockResolvedValue(); // Mock as async function that resolves
+  });
+
+  describe('titleConvo method', () => {
+    it('should throw error if run is not initialized', async () => {
+      client.run = null;
+
+      await expect(
+        client.titleConvo({ text: 'Test', abortController: new AbortController() }),
+      ).rejects.toThrow('Run not initialized');
+    });
+
+    it('should use titlePrompt from endpoint config', async () => {
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      expect(mockRun.generateTitle).toHaveBeenCalledWith(
+        expect.objectContaining({
+          titlePrompt: 'Custom title prompt',
+        }),
+      );
+    });
+
+    it('should use titlePromptTemplate from endpoint config', async () => {
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      expect(mockRun.generateTitle).toHaveBeenCalledWith(
+        expect.objectContaining({
+          titlePromptTemplate: 'Template: {{content}}',
+        }),
+      );
+    });
+
+    it('should use titleMethod from endpoint config', async () => {
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      expect(mockRun.generateTitle).toHaveBeenCalledWith(
+        expect.objectContaining({
+          provider: Providers.OPENAI,
+          titleMethod: 'structured',
+        }),
+      );
+    });
+
+    it('should use titleModel from endpoint config when provided', async () => {
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      // Check that generateTitle was called with correct clientOptions
+      const generateTitleCall = mockRun.generateTitle.mock.calls[0][0];
+      expect(generateTitleCall.clientOptions.model).toBe('gpt-3.5-turbo');
+    });
+
+    it('should handle missing endpoint config gracefully', async () => {
+      // Remove endpoint config
+      mockReq.app.locals[EModelEndpoint.openAI] = undefined;
+
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      expect(mockRun.generateTitle).toHaveBeenCalledWith(
+        expect.objectContaining({
+          titlePrompt: undefined,
+          titlePromptTemplate: undefined,
+          titleMethod: undefined,
+        }),
+      );
+    });
+
+    it('should use agent model when titleModel is not provided', async () => {
+      // Remove titleModel from config
+      delete mockReq.app.locals[EModelEndpoint.openAI].titleModel;
+
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      const generateTitleCall = mockRun.generateTitle.mock.calls[0][0];
+      expect(generateTitleCall.clientOptions.model).toBe('gpt-4'); // Should use agent's model
+    });
+
+    it('should not use titleModel when it equals CURRENT_MODEL constant', async () => {
+      mockReq.app.locals[EModelEndpoint.openAI].titleModel = Constants.CURRENT_MODEL;
+
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      const generateTitleCall = mockRun.generateTitle.mock.calls[0][0];
+      expect(generateTitleCall.clientOptions.model).toBe('gpt-4'); // Should use agent's model
+    });
+
+    it('should pass all required parameters to generateTitle', async () => {
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      expect(mockRun.generateTitle).toHaveBeenCalledWith({
+        provider: expect.any(String),
+        inputText: text,
+        contentParts: client.contentParts,
+        clientOptions: expect.objectContaining({
+          model: 'gpt-3.5-turbo',
+        }),
+        titlePrompt: 'Custom title prompt',
+        titlePromptTemplate: 'Template: {{content}}',
+        titleMethod: 'structured',
+        chainOptions: expect.objectContaining({
+          signal: abortController.signal,
+        }),
+      });
+    });
+
+    it('should record collected usage after title generation', async () => {
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      expect(client.recordCollectedUsage).toHaveBeenCalledWith({
+        model: 'gpt-3.5-turbo',
+        context: 'title',
+        collectedUsage: expect.any(Array),
+      });
+    });
+
+    it('should return the generated title', async () => {
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      const result = await client.titleConvo({ text, abortController });
+
+      expect(result).toBe('Generated Title');
+    });
+
+    it('should handle errors gracefully and return undefined', async () => {
+      mockRun.generateTitle.mockRejectedValue(new Error('Title generation failed'));
+
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      const result = await client.titleConvo({ text, abortController });
+
+      expect(result).toBeUndefined();
+    });
+
+    it('should pass titleEndpoint configuration to generateTitle', async () => {
+      // Mock the API key just for this test
+      const originalApiKey = process.env.ANTHROPIC_API_KEY;
+      process.env.ANTHROPIC_API_KEY = 'test-api-key';
+
+      // Add titleEndpoint to the config
+      mockReq.app.locals[EModelEndpoint.openAI].titleEndpoint = EModelEndpoint.anthropic;
+      mockReq.app.locals[EModelEndpoint.openAI].titleMethod = 'structured';
+      mockReq.app.locals[EModelEndpoint.openAI].titlePrompt = 'Custom title prompt';
+      mockReq.app.locals[EModelEndpoint.openAI].titlePromptTemplate = 'Custom template';
+
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      // Verify generateTitle was called with the custom configuration
+      expect(mockRun.generateTitle).toHaveBeenCalledWith(
+        expect.objectContaining({
+          titleMethod: 'structured',
+          provider: Providers.ANTHROPIC,
+          titlePrompt: 'Custom title prompt',
+          titlePromptTemplate: 'Custom template',
+        }),
+      );
+
+      // Restore the original API key
+      if (originalApiKey) {
+        process.env.ANTHROPIC_API_KEY = originalApiKey;
+      } else {
+        delete process.env.ANTHROPIC_API_KEY;
+      }
+    });
+
+    it('should use all config when endpoint config is missing', async () => {
+      // Remove endpoint-specific config
+      delete mockReq.app.locals[EModelEndpoint.openAI].titleModel;
+      delete mockReq.app.locals[EModelEndpoint.openAI].titlePrompt;
+      delete mockReq.app.locals[EModelEndpoint.openAI].titleMethod;
+      delete mockReq.app.locals[EModelEndpoint.openAI].titlePromptTemplate;
+
+      // Set 'all' config
+      mockReq.app.locals.all = {
+        titleModel: 'gpt-4o-mini',
+        titlePrompt: 'All config title prompt',
+        titleMethod: 'completion',
+        titlePromptTemplate: 'All config template: {{content}}',
+      };
+
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      // Verify generateTitle was called with 'all' config values
+      expect(mockRun.generateTitle).toHaveBeenCalledWith(
+        expect.objectContaining({
+          titleMethod: 'completion',
+          titlePrompt: 'All config title prompt',
+          titlePromptTemplate: 'All config template: {{content}}',
+        }),
+      );
+
+      // Check that the model was set from 'all' config
+      const generateTitleCall = mockRun.generateTitle.mock.calls[0][0];
+      expect(generateTitleCall.clientOptions.model).toBe('gpt-4o-mini');
+    });
+
+    it('should prioritize all config over endpoint config for title settings', async () => {
+      // Set both endpoint and 'all' config
+      mockReq.app.locals[EModelEndpoint.openAI].titleModel = 'gpt-3.5-turbo';
+      mockReq.app.locals[EModelEndpoint.openAI].titlePrompt = 'Endpoint title prompt';
+      mockReq.app.locals[EModelEndpoint.openAI].titleMethod = 'structured';
+      // Remove titlePromptTemplate from endpoint config to test fallback
+      delete mockReq.app.locals[EModelEndpoint.openAI].titlePromptTemplate;
+
+      mockReq.app.locals.all = {
+        titleModel: 'gpt-4o-mini',
+        titlePrompt: 'All config title prompt',
+        titleMethod: 'completion',
+        titlePromptTemplate: 'All config template',
+      };
+
+      const text = 'Test conversation text';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      // Verify 'all' config takes precedence over endpoint config
+      expect(mockRun.generateTitle).toHaveBeenCalledWith(
+        expect.objectContaining({
+          titleMethod: 'completion',
+          titlePrompt: 'All config title prompt',
+          titlePromptTemplate: 'All config template',
+        }),
+      );
+
+      // Check that the model was set from 'all' config
+      const generateTitleCall = mockRun.generateTitle.mock.calls[0][0];
+      expect(generateTitleCall.clientOptions.model).toBe('gpt-4o-mini');
+    });
+
+    it('should use all config with titleEndpoint and verify provider switch', async () => {
+      // Mock the API key for the titleEndpoint provider
+      const originalApiKey = process.env.ANTHROPIC_API_KEY;
+      process.env.ANTHROPIC_API_KEY = 'test-anthropic-key';
+
+      // Remove endpoint-specific config to test 'all' config
+      delete mockReq.app.locals[EModelEndpoint.openAI];
+
+      // Set comprehensive 'all' config with all new title options
+      mockReq.app.locals.all = {
+        titleConvo: true,
+        titleModel: 'claude-3-haiku-20240307',
+        titleMethod: 'completion', // Testing the new default method
+        titlePrompt: 'Generate a concise, descriptive title for this conversation',
+        titlePromptTemplate: 'Conversation summary: {{content}}',
+        titleEndpoint: EModelEndpoint.anthropic, // Should switch provider to Anthropic
+      };
+
+      const text = 'Test conversation about AI and machine learning';
+      const abortController = new AbortController();
+
+      await client.titleConvo({ text, abortController });
+
+      // Verify all config values were used
+      expect(mockRun.generateTitle).toHaveBeenCalledWith(
+        expect.objectContaining({
+          provider: Providers.ANTHROPIC, // Critical: Verify provider switched to Anthropic
+          titleMethod: 'completion',
+          titlePrompt: 'Generate a concise, descriptive title for this conversation',
+          titlePromptTemplate: 'Conversation summary: {{content}}',
+          inputText: text,
+          contentParts: client.contentParts,
+        }),
+      );
+
+      // Verify the model was set from 'all' config
+      const generateTitleCall = mockRun.generateTitle.mock.calls[0][0];
+      expect(generateTitleCall.clientOptions.model).toBe('claude-3-haiku-20240307');
+
+      // Verify other client options are set correctly
+      expect(generateTitleCall.clientOptions).toMatchObject({
+        model: 'claude-3-haiku-20240307',
+        // Note: Anthropic's getOptions may set its own maxTokens value
+      });
+
+      // Restore the original API key
+      if (originalApiKey) {
+        process.env.ANTHROPIC_API_KEY = originalApiKey;
+      } else {
+        delete process.env.ANTHROPIC_API_KEY;
+      }
+    });
+
+    it('should test all titleMethod options from all config', async () => {
+      // Test each titleMethod: 'completion', 'functions', 'structured'
+      const titleMethods = ['completion', 'functions', 'structured'];
+
+      for (const method of titleMethods) {
+        // Clear previous calls
+        mockRun.generateTitle.mockClear();
+
+        // Remove endpoint config
+        delete mockReq.app.locals[EModelEndpoint.openAI];
+
+        // Set 'all' config with specific titleMethod
+        mockReq.app.locals.all = {
+          titleModel: 'gpt-4o-mini',
+          titleMethod: method,
+          titlePrompt: `Testing ${method} method`,
+          titlePromptTemplate: `Template for ${method}: {{content}}`,
+        };
+
+        const text = `Test conversation for ${method} method`;
+        const abortController = new AbortController();
+
+        await client.titleConvo({ text, abortController });
+
+        // Verify the correct titleMethod was used
+        expect(mockRun.generateTitle).toHaveBeenCalledWith(
+          expect.objectContaining({
+            titleMethod: method,
+            titlePrompt: `Testing ${method} method`,
+            titlePromptTemplate: `Template for ${method}: {{content}}`,
+          }),
+        );
+      }
+    });
+
+    describe('Azure-specific title generation', () => {
+      let originalEnv;
+
+      beforeEach(() => {
+        // Reset mocks
+        jest.clearAllMocks();
+
+        // Save original environment variables
+        originalEnv = { ...process.env };
+
+        // Mock Azure API keys
+        process.env.AZURE_OPENAI_API_KEY = 'test-azure-key';
+        process.env.AZURE_API_KEY = 'test-azure-key';
+        process.env.EASTUS_API_KEY = 'test-eastus-key';
+        process.env.EASTUS2_API_KEY = 'test-eastus2-key';
+      });
+
+      afterEach(() => {
+        // Restore environment variables
+        process.env = originalEnv;
+      });
+
+      it('should use OPENAI provider for Azure serverless endpoints', async () => {
+        // Set up Azure endpoint with serverless config
+        mockAgent.endpoint = EModelEndpoint.azureOpenAI;
+        mockAgent.provider = EModelEndpoint.azureOpenAI;
+        mockReq.app.locals[EModelEndpoint.azureOpenAI] = {
+          titleConvo: true,
+          titleModel: 'grok-3',
+          titleMethod: 'completion',
+          titlePrompt: 'Azure serverless title prompt',
+          streamRate: 35,
+          modelGroupMap: {
+            'grok-3': {
+              group: 'Azure AI Foundry',
+              deploymentName: 'grok-3',
+            },
+          },
+          groupMap: {
+            'Azure AI Foundry': {
+              apiKey: '${AZURE_API_KEY}',
+              baseURL: 'https://test.services.ai.azure.com/models',
+              version: '2024-05-01-preview',
+              serverless: true,
+              models: {
+                'grok-3': {
+                  deploymentName: 'grok-3',
+                },
+              },
+            },
+          },
+        };
+        mockReq.body.endpoint = EModelEndpoint.azureOpenAI;
+        mockReq.body.model = 'grok-3';
+
+        const text = 'Test Azure serverless conversation';
+        const abortController = new AbortController();
+
+        await client.titleConvo({ text, abortController });
+
+        // Verify provider was switched to OPENAI for serverless
+        expect(mockRun.generateTitle).toHaveBeenCalledWith(
+          expect.objectContaining({
+            provider: Providers.OPENAI, // Should be OPENAI for serverless
+            titleMethod: 'completion',
+            titlePrompt: 'Azure serverless title prompt',
+          }),
+        );
+      });
+
+      it('should use AZURE provider for Azure endpoints with instanceName', async () => {
+        // Set up Azure endpoint
+        mockAgent.endpoint = EModelEndpoint.azureOpenAI;
+        mockAgent.provider = EModelEndpoint.azureOpenAI;
+        mockReq.app.locals[EModelEndpoint.azureOpenAI] = {
+          titleConvo: true,
+          titleModel: 'gpt-4o',
+          titleMethod: 'structured',
+          titlePrompt: 'Azure instance title prompt',
+          streamRate: 35,
+          modelGroupMap: {
+            'gpt-4o': {
+              group: 'eastus',
+              deploymentName: 'gpt-4o',
+            },
+          },
+          groupMap: {
+            eastus: {
+              apiKey: '${EASTUS_API_KEY}',
+              instanceName: 'region-instance',
+              version: '2024-02-15-preview',
+              models: {
+                'gpt-4o': {
+                  deploymentName: 'gpt-4o',
+                },
+              },
+            },
+          },
+        };
+        mockReq.body.endpoint = EModelEndpoint.azureOpenAI;
+        mockReq.body.model = 'gpt-4o';
+
+        const text = 'Test Azure instance conversation';
+        const abortController = new AbortController();
+
+        await client.titleConvo({ text, abortController });
+
+        // Verify provider remains AZURE with instanceName
+        expect(mockRun.generateTitle).toHaveBeenCalledWith(
+          expect.objectContaining({
+            provider: Providers.AZURE,
+            titleMethod: 'structured',
+            titlePrompt: 'Azure instance title prompt',
+          }),
+        );
+      });
+
+      it('should handle Azure titleModel with CURRENT_MODEL constant', async () => {
+        // Set up Azure endpoint
+        mockAgent.endpoint = EModelEndpoint.azureOpenAI;
+        mockAgent.provider = EModelEndpoint.azureOpenAI;
+        mockAgent.model_parameters.model = 'gpt-4o-latest';
+        mockReq.app.locals[EModelEndpoint.azureOpenAI] = {
+          titleConvo: true,
+          titleModel: Constants.CURRENT_MODEL,
+          titleMethod: 'functions',
+          streamRate: 35,
+          modelGroupMap: {
+            'gpt-4o-latest': {
+              group: 'region-eastus',
+              deploymentName: 'gpt-4o-mini',
+              version: '2024-02-15-preview',
+            },
+          },
+          groupMap: {
+            'region-eastus': {
+              apiKey: '${EASTUS2_API_KEY}',
+              instanceName: 'test-instance',
+              version: '2024-12-01-preview',
+              models: {
+                'gpt-4o-latest': {
+                  deploymentName: 'gpt-4o-mini',
+                  version: '2024-02-15-preview',
+                },
+              },
+            },
+          },
+        };
+        mockReq.body.endpoint = EModelEndpoint.azureOpenAI;
+        mockReq.body.model = 'gpt-4o-latest';
+
+        const text = 'Test Azure current model';
+        const abortController = new AbortController();
+
+        await client.titleConvo({ text, abortController });
+
+        // Verify it uses the correct model when titleModel is CURRENT_MODEL
+        const generateTitleCall = mockRun.generateTitle.mock.calls[0][0];
+        // When CURRENT_MODEL is used with Azure, the model gets mapped to the deployment name
+        // In this case, 'gpt-4o-latest' is mapped to 'gpt-4o-mini' deployment
+        expect(generateTitleCall.clientOptions.model).toBe('gpt-4o-mini');
+        // Also verify that CURRENT_MODEL constant was not passed as the model
+        expect(generateTitleCall.clientOptions.model).not.toBe(Constants.CURRENT_MODEL);
+      });
+
+      it('should handle Azure with multiple model groups', async () => {
+        // Set up Azure endpoint
+        mockAgent.endpoint = EModelEndpoint.azureOpenAI;
+        mockAgent.provider = EModelEndpoint.azureOpenAI;
+        mockReq.app.locals[EModelEndpoint.azureOpenAI] = {
+          titleConvo: true,
+          titleModel: 'o1-mini',
+          titleMethod: 'completion',
+          streamRate: 35,
+          modelGroupMap: {
+            'gpt-4o': {
+              group: 'eastus',
+              deploymentName: 'gpt-4o',
+            },
+            'o1-mini': {
+              group: 'region-eastus',
+              deploymentName: 'o1-mini',
+            },
+            'codex-mini': {
+              group: 'codex-mini',
+              deploymentName: 'codex-mini',
+            },
+          },
+          groupMap: {
+            eastus: {
+              apiKey: '${EASTUS_API_KEY}',
+              instanceName: 'region-eastus',
+              version: '2024-02-15-preview',
+              models: {
+                'gpt-4o': {
+                  deploymentName: 'gpt-4o',
+                },
+              },
+            },
+            'region-eastus': {
+              apiKey: '${EASTUS2_API_KEY}',
+              instanceName: 'region-eastus2',
+              version: '2024-12-01-preview',
+              models: {
+                'o1-mini': {
+                  deploymentName: 'o1-mini',
+                },
+              },
+            },
+            'codex-mini': {
+              apiKey: '${AZURE_API_KEY}',
+              baseURL: 'https://example.cognitiveservices.azure.com/openai/',
+              version: '2025-04-01-preview',
+              serverless: true,
+              models: {
+                'codex-mini': {
+                  deploymentName: 'codex-mini',
+                },
+              },
+            },
+          },
+        };
+        mockReq.body.endpoint = EModelEndpoint.azureOpenAI;
+        mockReq.body.model = 'o1-mini';
+
+        const text = 'Test Azure multi-group conversation';
+        const abortController = new AbortController();
+
+        await client.titleConvo({ text, abortController });
+
+        // Verify correct model and provider are used
+        expect(mockRun.generateTitle).toHaveBeenCalledWith(
+          expect.objectContaining({
+            provider: Providers.AZURE,
+            titleMethod: 'completion',
+          }),
+        );
+
+        const generateTitleCall = mockRun.generateTitle.mock.calls[0][0];
+        expect(generateTitleCall.clientOptions.model).toBe('o1-mini');
+        expect(generateTitleCall.clientOptions.maxTokens).toBeUndefined(); // o1 models shouldn't have maxTokens
+      });
+
+      it('should use all config as fallback for Azure endpoints', async () => {
+        // Set up Azure endpoint with minimal config
+        mockAgent.endpoint = EModelEndpoint.azureOpenAI;
+        mockAgent.provider = EModelEndpoint.azureOpenAI;
+        mockReq.body.endpoint = EModelEndpoint.azureOpenAI;
+        mockReq.body.model = 'gpt-4';
+
+        // Remove Azure-specific config
+        delete mockReq.app.locals[EModelEndpoint.azureOpenAI];
+
+        // Set 'all' config as fallback with a serverless Azure config
+        mockReq.app.locals.all = {
+          titleConvo: true,
+          titleModel: 'gpt-4',
+          titleMethod: 'structured',
+          titlePrompt: 'Fallback title prompt from all config',
+          titlePromptTemplate: 'Template: {{content}}',
+          modelGroupMap: {
+            'gpt-4': {
+              group: 'default-group',
+              deploymentName: 'gpt-4',
+            },
+          },
+          groupMap: {
+            'default-group': {
+              apiKey: '${AZURE_API_KEY}',
+              baseURL: 'https://default.openai.azure.com/',
+              version: '2024-02-15-preview',
+              serverless: true,
+              models: {
+                'gpt-4': {
+                  deploymentName: 'gpt-4',
+                },
+              },
+            },
+          },
+        };
+
+        const text = 'Test Azure with all config fallback';
+        const abortController = new AbortController();
+
+        await client.titleConvo({ text, abortController });
+
+        // Verify all config is used
+        expect(mockRun.generateTitle).toHaveBeenCalledWith(
+          expect.objectContaining({
+            provider: Providers.OPENAI, // Should be OPENAI when no instanceName
+            titleMethod: 'structured',
+            titlePrompt: 'Fallback title prompt from all config',
+            titlePromptTemplate: 'Template: {{content}}',
+          }),
+        );
+      });
+    });
+  });
+});

api/server/services/AppService.js

@@ -157,6 +157,10 @@ const AppService = async (app) => {
     }
   });
 
+  if (endpoints?.all) {
+    endpointLocals.all = endpoints.all;
+  }
+
   app.locals = {
     ...defaultLocals,
     fileConfig: config?.fileConfig,

api/server/services/AppService.spec.js

@@ -543,6 +543,206 @@ describe('AppService', () => {
     expect(process.env.IMPORT_USER_MAX).toEqual('initialUserMax');
     expect(process.env.IMPORT_USER_WINDOW).toEqual('initialUserWindow');
   });
+
+  it('should correctly configure endpoint with titlePrompt, titleMethod, and titlePromptTemplate', async () => {
+    require('./Config/loadCustomConfig').mockImplementationOnce(() =>
+      Promise.resolve({
+        endpoints: {
+          [EModelEndpoint.openAI]: {
+            titleConvo: true,
+            titleModel: 'gpt-3.5-turbo',
+            titleMethod: 'structured',
+            titlePrompt: 'Custom title prompt for conversation',
+            titlePromptTemplate: 'Summarize this conversation: {{conversation}}',
+          },
+          [EModelEndpoint.assistants]: {
+            titleMethod: 'functions',
+            titlePrompt: 'Generate a title for this assistant conversation',
+            titlePromptTemplate: 'Assistant conversation template: {{messages}}',
+          },
+          [EModelEndpoint.azureOpenAI]: {
+            groups: azureGroups,
+            titleConvo: true,
+            titleMethod: 'completion',
+            titleModel: 'gpt-4',
+            titlePrompt: 'Azure title prompt',
+            titlePromptTemplate: 'Azure conversation: {{context}}',
+          },
+        },
+      }),
+    );
+
+    await AppService(app);
+
+    // Check OpenAI endpoint configuration
+    expect(app.locals).toHaveProperty(EModelEndpoint.openAI);
+    expect(app.locals[EModelEndpoint.openAI]).toEqual(
+      expect.objectContaining({
+        titleConvo: true,
+        titleModel: 'gpt-3.5-turbo',
+        titleMethod: 'structured',
+        titlePrompt: 'Custom title prompt for conversation',
+        titlePromptTemplate: 'Summarize this conversation: {{conversation}}',
+      }),
+    );
+
+    // Check Assistants endpoint configuration
+    expect(app.locals).toHaveProperty(EModelEndpoint.assistants);
+    expect(app.locals[EModelEndpoint.assistants]).toMatchObject({
+      titleMethod: 'functions',
+      titlePrompt: 'Generate a title for this assistant conversation',
+      titlePromptTemplate: 'Assistant conversation template: {{messages}}',
+    });
+
+    // Check Azure OpenAI endpoint configuration
+    expect(app.locals).toHaveProperty(EModelEndpoint.azureOpenAI);
+    expect(app.locals[EModelEndpoint.azureOpenAI]).toEqual(
+      expect.objectContaining({
+        titleConvo: true,
+        titleMethod: 'completion',
+        titleModel: 'gpt-4',
+        titlePrompt: 'Azure title prompt',
+        titlePromptTemplate: 'Azure conversation: {{context}}',
+      }),
+    );
+  });
+
+  it('should configure Agent endpoint with title generation settings', async () => {
+    require('./Config/loadCustomConfig').mockImplementationOnce(() =>
+      Promise.resolve({
+        endpoints: {
+          [EModelEndpoint.agents]: {
+            disableBuilder: false,
+            titleConvo: true,
+            titleModel: 'gpt-4',
+            titleMethod: 'structured',
+            titlePrompt: 'Generate a descriptive title for this agent conversation',
+            titlePromptTemplate: 'Agent conversation summary: {{content}}',
+            recursionLimit: 15,
+            capabilities: [AgentCapabilities.tools, AgentCapabilities.actions],
+          },
+        },
+      }),
+    );
+
+    await AppService(app);
+
+    expect(app.locals).toHaveProperty(EModelEndpoint.agents);
+    expect(app.locals[EModelEndpoint.agents]).toMatchObject({
+      disableBuilder: false,
+      titleConvo: true,
+      titleModel: 'gpt-4',
+      titleMethod: 'structured',
+      titlePrompt: 'Generate a descriptive title for this agent conversation',
+      titlePromptTemplate: 'Agent conversation summary: {{content}}',
+      recursionLimit: 15,
+      capabilities: expect.arrayContaining([AgentCapabilities.tools, AgentCapabilities.actions]),
+    });
+  });
+
+  it('should handle missing title configuration options with defaults', async () => {
+    require('./Config/loadCustomConfig').mockImplementationOnce(() =>
+      Promise.resolve({
+        endpoints: {
+          [EModelEndpoint.openAI]: {
+            titleConvo: true,
+            // titlePrompt and titlePromptTemplate are not provided
+          },
+        },
+      }),
+    );
+
+    await AppService(app);
+
+    expect(app.locals).toHaveProperty(EModelEndpoint.openAI);
+    expect(app.locals[EModelEndpoint.openAI]).toMatchObject({
+      titleConvo: true,
+    });
+    // Check that the optional fields are undefined when not provided
+    expect(app.locals[EModelEndpoint.openAI].titlePrompt).toBeUndefined();
+    expect(app.locals[EModelEndpoint.openAI].titlePromptTemplate).toBeUndefined();
+    expect(app.locals[EModelEndpoint.openAI].titleMethod).toBeUndefined();
+  });
+
+  it('should correctly configure titleEndpoint when specified', async () => {
+    require('./Config/loadCustomConfig').mockImplementationOnce(() =>
+      Promise.resolve({
+        endpoints: {
+          [EModelEndpoint.openAI]: {
+            titleConvo: true,
+            titleModel: 'gpt-3.5-turbo',
+            titleEndpoint: EModelEndpoint.anthropic,
+            titlePrompt: 'Generate a concise title',
+          },
+          [EModelEndpoint.agents]: {
+            titleEndpoint: 'custom-provider',
+            titleMethod: 'structured',
+          },
+        },
+      }),
+    );
+
+    await AppService(app);
+
+    // Check OpenAI endpoint has titleEndpoint
+    expect(app.locals).toHaveProperty(EModelEndpoint.openAI);
+    expect(app.locals[EModelEndpoint.openAI]).toMatchObject({
+      titleConvo: true,
+      titleModel: 'gpt-3.5-turbo',
+      titleEndpoint: EModelEndpoint.anthropic,
+      titlePrompt: 'Generate a concise title',
+    });
+
+    // Check Agents endpoint has titleEndpoint
+    expect(app.locals).toHaveProperty(EModelEndpoint.agents);
+    expect(app.locals[EModelEndpoint.agents]).toMatchObject({
+      titleEndpoint: 'custom-provider',
+      titleMethod: 'structured',
+    });
+  });
+
+  it('should correctly configure all endpoint when specified', async () => {
+    require('./Config/loadCustomConfig').mockImplementationOnce(() =>
+      Promise.resolve({
+        endpoints: {
+          all: {
+            titleConvo: true,
+            titleModel: 'gpt-4o-mini',
+            titleMethod: 'structured',
+            titlePrompt: 'Default title prompt for all endpoints',
+            titlePromptTemplate: 'Default template: {{conversation}}',
+            titleEndpoint: EModelEndpoint.anthropic,
+            streamRate: 50,
+          },
+          [EModelEndpoint.openAI]: {
+            titleConvo: true,
+            titleModel: 'gpt-3.5-turbo',
+          },
+        },
+      }),
+    );
+
+    await AppService(app);
+
+    // Check that 'all' endpoint config is loaded
+    expect(app.locals).toHaveProperty('all');
+    expect(app.locals.all).toMatchObject({
+      titleConvo: true,
+      titleModel: 'gpt-4o-mini',
+      titleMethod: 'structured',
+      titlePrompt: 'Default title prompt for all endpoints',
+      titlePromptTemplate: 'Default template: {{conversation}}',
+      titleEndpoint: EModelEndpoint.anthropic,
+      streamRate: 50,
+    });
+
+    // Check that OpenAI endpoint has its own config
+    expect(app.locals).toHaveProperty(EModelEndpoint.openAI);
+    expect(app.locals[EModelEndpoint.openAI]).toMatchObject({
+      titleConvo: true,
+      titleModel: 'gpt-3.5-turbo',
+    });
+  });
 });
 
 describe('AppService updating app.locals and issuing warnings', () => {

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

@@ -104,7 +104,7 @@ const initializeAgent = async ({
 
   agent.endpoint = provider;
   const { getOptions, overrideProvider } = await getProviderConfig(provider);
-  if (overrideProvider) {
+  if (overrideProvider !== agent.provider) {
     agent.provider = overrideProvider;
   }
 

api/server/services/Endpoints/assistants/initalize.js

@@ -1,5 +1,5 @@
 const OpenAI = require('openai');
-const { HttpsProxyAgent } = require('https-proxy-agent');
+const { ProxyAgent } = require('undici');
 const { ErrorTypes, EModelEndpoint } = require('librechat-data-provider');
 const {
   getUserKeyValues,
@@ -59,7 +59,10 @@ const initializeClient = async ({ req, res, endpointOption, version, initAppClie
   }
 
   if (PROXY) {
-    opts.httpAgent = new HttpsProxyAgent(PROXY);
+    const proxyAgent = new ProxyAgent(PROXY);
+    opts.fetchOptions = {
+      dispatcher: proxyAgent,
+    };
   }
 
   if (OPENAI_ORGANIZATION) {

api/server/services/Endpoints/assistants/initialize.spec.js

@@ -1,5 +1,5 @@
 // const OpenAI = require('openai');
-const { HttpsProxyAgent } = require('https-proxy-agent');
+const { ProxyAgent } = require('undici');
 const { ErrorTypes } = require('librechat-data-provider');
 const { getUserKey, getUserKeyExpiry, getUserKeyValues } = require('~/server/services/UserService');
 const initializeClient = require('./initalize');
@@ -107,6 +107,7 @@ describe('initializeClient', () => {
     const res = {};
 
     const { openai } = await initializeClient({ req, res });
-    expect(openai.httpAgent).toBeInstanceOf(HttpsProxyAgent);
+    expect(openai.fetchOptions).toBeDefined();
+    expect(openai.fetchOptions.dispatcher).toBeInstanceOf(ProxyAgent);
   });
 });

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

@@ -1,5 +1,5 @@
 const OpenAI = require('openai');
-const { HttpsProxyAgent } = require('https-proxy-agent');
+const { ProxyAgent } = require('undici');
 const { constructAzureURL, isUserProvided, resolveHeaders } = require('@librechat/api');
 const { ErrorTypes, EModelEndpoint, mapModelToAzureConfig } = require('librechat-data-provider');
 const {
@@ -158,7 +158,10 @@ const initializeClient = async ({ req, res, version, endpointOption, initAppClie
   }
 
   if (PROXY) {
-    opts.httpAgent = new HttpsProxyAgent(PROXY);
+    const proxyAgent = new ProxyAgent(PROXY);
+    opts.fetchOptions = {
+      dispatcher: proxyAgent,
+    };
   }
 
   if (OPENAI_ORGANIZATION) {

api/server/services/Endpoints/azureAssistants/initialize.spec.js

@@ -1,5 +1,5 @@
 // const OpenAI = require('openai');
-const { HttpsProxyAgent } = require('https-proxy-agent');
+const { ProxyAgent } = require('undici');
 const { ErrorTypes } = require('librechat-data-provider');
 const { getUserKey, getUserKeyExpiry, getUserKeyValues } = require('~/server/services/UserService');
 const initializeClient = require('./initialize');
@@ -107,6 +107,7 @@ describe('initializeClient', () => {
     const res = {};
 
     const { openai } = await initializeClient({ req, res });
-    expect(openai.httpAgent).toBeInstanceOf(HttpsProxyAgent);
+    expect(openai.fetchOptions).toBeDefined();
+    expect(openai.fetchOptions.dispatcher).toBeInstanceOf(ProxyAgent);
   });
 });

api/server/services/Endpoints/index.js

@@ -34,13 +34,13 @@ const providerConfigMap = {
  * @param {string} provider - The provider string
  * @returns {Promise<{
  * getOptions: Function,
- * overrideProvider?: string,
+ * overrideProvider: string,
  * customEndpointConfig?: TEndpoint
  * }>}
  */
 async function getProviderConfig(provider) {
   let getOptions = providerConfigMap[provider];
-  let overrideProvider;
+  let overrideProvider = provider;
   /** @type {TEndpoint | undefined} */
   let customEndpointConfig;
 
@@ -56,7 +56,7 @@ async function getProviderConfig(provider) {
     overrideProvider = Providers.OPENAI;
   }
 
-  if (isKnownCustomProvider(overrideProvider || provider) && !customEndpointConfig) {
+  if (isKnownCustomProvider(overrideProvider) && !customEndpointConfig) {
     customEndpointConfig = await getCustomEndpointConfig(provider);
     if (!customEndpointConfig) {
       throw new Error(`Provider ${provider} not supported`);

api/server/services/start/assistants.js

@@ -52,6 +52,11 @@ function assistantsConfigSetup(config, assistantsEndpoint, prevConfig = {}) {
     privateAssistants: parsedConfig.privateAssistants,
     timeoutMs: parsedConfig.timeoutMs,
     streamRate: parsedConfig.streamRate,
+    titlePrompt: parsedConfig.titlePrompt,
+    titleMethod: parsedConfig.titleMethod,
+    titleModel: parsedConfig.titleModel,
+    titleEndpoint: parsedConfig.titleEndpoint,
+    titlePromptTemplate: parsedConfig.titlePromptTemplate,
   };
 }
 

package.json

@@ -118,6 +118,7 @@
     "@langchain/openai": "0.5.18",
     "axios": "1.8.2",
     "elliptic": "^6.6.1",
+    "form-data": "^4.0.4",
     "mdast-util-gfm-autolink-literal": "2.0.0",
     "remark-gfm": {
       "mdast-util-gfm-autolink-literal": "2.0.0"

packages/api/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@librechat/api",
-  "version": "1.2.7",
+  "version": "1.2.8",
   "type": "commonjs",
   "description": "MCP services for LibreChat",
   "main": "dist/index.js",
@@ -70,7 +70,7 @@
   },
   "peerDependencies": {
     "@langchain/core": "^0.3.62",
-    "@librechat/agents": "^2.4.63",
+    "@librechat/agents": "^2.4.67",
     "@librechat/data-schemas": "*",
     "@modelcontextprotocol/sdk": "^1.13.3",
     "axios": "^1.8.2",

packages/api/src/agents/run.ts

@@ -18,6 +18,28 @@ const customProviders = new Set([
   Providers.OPENROUTER,
 ]);
 
+export function getReasoningKey(
+  provider: Providers,
+  llmConfig: t.RunLLMConfig,
+  agentEndpoint?: string | null,
+): 'reasoning_content' | 'reasoning' {
+  let reasoningKey: 'reasoning_content' | 'reasoning' = 'reasoning_content';
+  if (provider === Providers.GOOGLE) {
+    reasoningKey = 'reasoning';
+  } else if (
+    llmConfig.configuration?.baseURL?.includes(KnownEndpoints.openrouter) ||
+    (agentEndpoint && agentEndpoint.toLowerCase().includes(KnownEndpoints.openrouter))
+  ) {
+    reasoningKey = 'reasoning';
+  } else if (
+    (llmConfig as OpenAIClientOptions).useResponsesApi === true &&
+    (provider === Providers.OPENAI || provider === Providers.AZURE)
+  ) {
+    reasoningKey = 'reasoning';
+  }
+  return reasoningKey;
+}
+
 /**
  * Creates a new Run instance with custom handlers and configuration.
  *
@@ -69,21 +91,7 @@ export async function createRun({
     llmConfig.usage = true;
   }
 
-  let reasoningKey: 'reasoning_content' | 'reasoning' = 'reasoning_content';
+  const reasoningKey = getReasoningKey(provider, llmConfig, agent.endpoint);
-  if (provider === Providers.GOOGLE) {
-    reasoningKey = 'reasoning';
-  } else if (
-    llmConfig.configuration?.baseURL?.includes(KnownEndpoints.openrouter) ||
-    (agent.endpoint && agent.endpoint.toLowerCase().includes(KnownEndpoints.openrouter))
-  ) {
-    reasoningKey = 'reasoning';
-  } else if (
-    (llmConfig as OpenAIClientOptions).useResponsesApi === true &&
-    (provider === Providers.OPENAI || provider === Providers.AZURE)
-  ) {
-    reasoningKey = 'reasoning';
-  }
-
   const graphConfig: StandardGraphConfig = {
     signal,
     llmConfig,

packages/data-provider/package.json

@@ -1,6 +1,6 @@
 {
   "name": "librechat-data-provider",
-  "version": "0.7.900",
+  "version": "0.7.901",
   "description": "data services for librechat apps",
   "main": "dist/index.js",
   "module": "dist/index.es.js",
@@ -62,7 +62,6 @@
     "@types/winston": "^2.4.4",
     "jest": "^29.5.0",
     "jest-junit": "^16.0.0",
-    "openai": "^4.76.3",
     "openapi-types": "^12.1.3",
     "rimraf": "^5.0.1",
     "rollup": "^4.22.4",

packages/data-provider/src/config.ts

@@ -185,6 +185,12 @@ export const baseEndpointSchema = z.object({
   baseURL: z.string().optional(),
   titlePrompt: z.string().optional(),
   titleModel: z.string().optional(),
+  titleConvo: z.boolean().optional(),
+  titleMethod: z
+    .union([z.literal('completion'), z.literal('functions'), z.literal('structured')])
+    .optional(),
+  titleEndpoint: z.string().optional(),
+  titlePromptTemplate: z.string().optional(),
 });
 
 export type TBaseEndpoint = z.infer<typeof baseEndpointSchema>;
@@ -225,8 +231,6 @@ export const assistantEndpointSchema = baseEndpointSchema.merge(
         userIdQuery: z.boolean().optional(),
       })
       .optional(),
-    titleConvo: z.boolean().optional(),
-    titleMethod: z.union([z.literal('completion'), z.literal('functions')]).optional(),
     headers: z.record(z.any()).optional(),
   }),
 );
@@ -279,8 +283,6 @@ export const endpointSchema = baseEndpointSchema.merge(
       fetch: z.boolean().optional(),
       userIdQuery: z.boolean().optional(),
     }),
-    titleConvo: z.boolean().optional(),
-    titleMethod: z.union([z.literal('completion'), z.literal('functions')]).optional(),
     summarize: z.boolean().optional(),
     summaryModel: z.string().optional(),
     forcePrompt: z.boolean().optional(),
@@ -315,6 +317,8 @@ export const azureEndpointSchema = z
         titleConvo: true,
         titleMethod: true,
         titleModel: true,
+        titlePrompt: true,
+        titlePromptTemplate: true,
         summarize: true,
         summaryModel: true,
         customOrder: true,

packages/data-provider/src/types.ts

@@ -1,4 +1,3 @@
-import type OpenAI from 'openai';
 import type { InfiniteData } from '@tanstack/react-query';
 import type {
   TBanner,
@@ -14,8 +13,6 @@ import type { SettingDefinition } from './generate';
 import type { TMinimalFeedback } from './feedback';
 import type { Agent } from './types/assistants';
 
-export type TOpenAIMessage = OpenAI.Chat.ChatCompletionMessageParam;
-
 export * from './schemas';
 
 export type TMessages = TMessage[];