🔧 refactor: Improve Params Handling, Remove Legacy Items, & Update Configs (#6074)

* chore: include all assets for service worker, remove unused tsconfig.node.json, eslint ignore vite config

* chore: exclude image files from service worker caching

* refactor: simplify googleSchema transformation and error handling

* fix: max output tokens cap for 3.7 models

* fix: skip index fixing in CI, development, and test environments

* ci: add maxOutputTokens handling tests for Claude models

* refactor: drop top_k and top_p parameters for claude-3.7 in AnthropicClient and add tests for new behavior

* refactor: conditionally include top_k and top_p parameters for non-claude-3.7 models

* ci: add unit tests for getLLMConfig function with various model options

* chore: remove all OPENROUTER_API_KEY legacy logic

* refactor: optimize stream chunk handling

* feat: reset model parameters button

* refactor: remove unused examples field from convoSchema and presetSchema

* chore: update librechat-data-provider version to 0.7.6993

* refactor: move excludedKeys set to data-provider for better reusability

* feat: enhance saveMessageToDatabase to handle unset fields and fetched conversation state

* feat: add 'iconURL' and 'greeting' to excludedKeys in data provider config

* fix: add optional chaining to user ID retrieval in getConvo call

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

@@ -43,14 +43,21 @@ function getLLMConfig(apiKey, options = {}) {
     model: mergedOptions.model,
     stream: mergedOptions.stream,
     temperature: mergedOptions.temperature,
-    topP: mergedOptions.topP,
-    topK: mergedOptions.topK,
     stopSequences: mergedOptions.stop,
     maxTokens:
       mergedOptions.maxOutputTokens || anthropicSettings.maxOutputTokens.reset(mergedOptions.model),
     clientOptions: {},
   };
 
+  if (!/claude-3[-.]7/.test(mergedOptions.model)) {
+    if (mergedOptions.topP !== undefined) {
+      requestOptions.topP = mergedOptions.topP;
+    }
+    if (mergedOptions.topK !== undefined) {
+      requestOptions.topK = mergedOptions.topK;
+    }
+  }
+
   const supportsCacheControl =
     systemOptions.promptCache === true && checkPromptCacheSupport(requestOptions.model);
   const headers = getClaudeHeaders(requestOptions.model, supportsCacheControl);

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

@@ -0,0 +1,112 @@
+const { anthropicSettings } = require('librechat-data-provider');
+const { getLLMConfig } = require('~/server/services/Endpoints/anthropic/llm');
+
+jest.mock('https-proxy-agent', () => ({
+  HttpsProxyAgent: jest.fn().mockImplementation((proxy) => ({ proxy })),
+}));
+
+describe('getLLMConfig', () => {
+  it('should create a basic configuration with default values', () => {
+    const result = getLLMConfig('test-api-key', { modelOptions: {} });
+
+    expect(result.llmConfig).toHaveProperty('apiKey', 'test-api-key');
+    expect(result.llmConfig).toHaveProperty('model', anthropicSettings.model.default);
+    expect(result.llmConfig).toHaveProperty('stream', true);
+    expect(result.llmConfig).toHaveProperty('maxTokens');
+  });
+
+  it('should include proxy settings when provided', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {},
+      proxy: 'http://proxy:8080',
+    });
+
+    expect(result.llmConfig.clientOptions).toHaveProperty('httpAgent');
+    expect(result.llmConfig.clientOptions.httpAgent).toHaveProperty('proxy', 'http://proxy:8080');
+  });
+
+  it('should include reverse proxy URL when provided', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {},
+      reverseProxyUrl: 'http://reverse-proxy',
+    });
+
+    expect(result.llmConfig.clientOptions).toHaveProperty('baseURL', 'http://reverse-proxy');
+  });
+
+  it('should include topK and topP for non-Claude-3.7 models', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-opus',
+        topK: 10,
+        topP: 0.9,
+      },
+    });
+
+    expect(result.llmConfig).toHaveProperty('topK', 10);
+    expect(result.llmConfig).toHaveProperty('topP', 0.9);
+  });
+
+  it('should include topK and topP for Claude-3.5 models', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-5-sonnet',
+        topK: 10,
+        topP: 0.9,
+      },
+    });
+
+    expect(result.llmConfig).toHaveProperty('topK', 10);
+    expect(result.llmConfig).toHaveProperty('topP', 0.9);
+  });
+
+  it('should NOT include topK and topP for Claude-3-7 models (hyphen notation)', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-7-sonnet',
+        topK: 10,
+        topP: 0.9,
+      },
+    });
+
+    expect(result.llmConfig).not.toHaveProperty('topK');
+    expect(result.llmConfig).not.toHaveProperty('topP');
+  });
+
+  it('should NOT include topK and topP for Claude-3.7 models (decimal notation)', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3.7-sonnet',
+        topK: 10,
+        topP: 0.9,
+      },
+    });
+
+    expect(result.llmConfig).not.toHaveProperty('topK');
+    expect(result.llmConfig).not.toHaveProperty('topP');
+  });
+
+  it('should handle custom maxOutputTokens', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-opus',
+        maxOutputTokens: 2048,
+      },
+    });
+
+    expect(result.llmConfig).toHaveProperty('maxTokens', 2048);
+  });
+
+  it('should handle promptCache setting', () => {
+    const result = getLLMConfig('test-api-key', {
+      modelOptions: {
+        model: 'claude-3-5-sonnet',
+        promptCache: true,
+      },
+    });
+
+    // We're not checking specific header values since that depends on the actual helper function
+    // Just verifying that the promptCache setting is processed
+    expect(result.llmConfig).toBeDefined();
+  });
+});

api/server/services/ModelService.js

@@ -129,9 +129,6 @@ const fetchOpenAIModels = async (opts, _models = []) => {
     //   .split('/deployments')[0]
     //   .concat(`/models?api-version=${azure.azureOpenAIApiVersion}`);
     // apiKey = azureOpenAIApiKey;
-  } else if (process.env.OPENROUTER_API_KEY) {
-    reverseProxyUrl = 'https://openrouter.ai/api/v1';
-    apiKey = process.env.OPENROUTER_API_KEY;
   }
 
   if (reverseProxyUrl) {
@@ -218,7 +215,7 @@ const getOpenAIModels = async (opts) => {
     return models;
   }
 
-  if (userProvidedOpenAI && !process.env.OPENROUTER_API_KEY) {
+  if (userProvidedOpenAI) {
     return models;
   }
 

api/server/services/ModelService.spec.js

@@ -161,22 +161,6 @@ describe('getOpenAIModels', () => {
     expect(models).toEqual(expect.arrayContaining(['openai-model', 'openai-model-2']));
   });
 
-  it('attempts to use OPENROUTER_API_KEY if set', async () => {
-    process.env.OPENROUTER_API_KEY = 'test-router-key';
-    const expectedModels = ['model-router-1', 'model-router-2'];
-
-    axios.get.mockResolvedValue({
-      data: {
-        data: expectedModels.map((id) => ({ id })),
-      },
-    });
-
-    const models = await getOpenAIModels({ user: 'user456' });
-
-    expect(models).toEqual(expect.arrayContaining(expectedModels));
-    expect(axios.get).toHaveBeenCalled();
-  });
-
   it('utilizes proxy configuration when PROXY is set', async () => {
     axios.get.mockResolvedValue({
       data: {