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🛜 refactor: Streamline App Config Usage (#9234)
* WIP: app.locals refactoring
WIP: appConfig
fix: update memory configuration retrieval to use getAppConfig based on user role
fix: update comment for AppConfig interface to clarify purpose
🏷️ refactor: Update tests to use getAppConfig for endpoint configurations
ci: Update AppService tests to initialize app config instead of app.locals
ci: Integrate getAppConfig into remaining tests
refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests
refactor: Rename initializeAppConfig to setAppConfig and update related tests
ci: Mock getAppConfig in various tests to provide default configurations
refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests
chore: rename `Config/getAppConfig` -> `Config/app`
fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters
chore: correct parameter documentation for imageOutputType in ToolService.js
refactor: remove `getCustomConfig` dependency in config route
refactor: update domain validation to use appConfig for allowed domains
refactor: use appConfig registration property
chore: remove app parameter from AppService invocation
refactor: update AppConfig interface to correct registration and turnstile configurations
refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services
refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files
refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type
refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration
ci: update related tests
refactor: update getAppConfig call in getCustomConfigSpeech to include user role
fix: update appConfig usage to access allowedDomains from actions instead of registration
refactor: enhance AppConfig to include fileStrategies and update related file strategy logic
refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions
chore: remove deprecated unused RunManager
refactor: get balance config primarily from appConfig
refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic
refactor: remove getCustomConfig usage and use app config in file citations
refactor: consolidate endpoint loading logic into loadEndpoints function
refactor: update appConfig access to use endpoints structure across various services
refactor: implement custom endpoints configuration and streamline endpoint loading logic
refactor: update getAppConfig call to include user role parameter
refactor: streamline endpoint configuration and enhance appConfig usage across services
refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file
refactor: add type annotation for loadedEndpoints in loadEndpoints function
refactor: move /services/Files/images/parse to TS API
chore: add missing FILE_CITATIONS permission to IRole interface
refactor: restructure toolkits to TS API
refactor: separate manifest logic into its own module
refactor: consolidate tool loading logic into a new tools module for startup logic
refactor: move interface config logic to TS API
refactor: migrate checkEmailConfig to TypeScript and update imports
refactor: add FunctionTool interface and availableTools to AppConfig
refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig`
WIP: fix tests
* fix: rebase conflicts
* refactor: remove app.locals references
* refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware
* refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients
* test: add balance configuration to titleConvo method in AgentClient tests
* chore: remove unused `openai-chat-tokens` package
* chore: remove unused imports in initializeMCPs.js
* refactor: update balance configuration to use getAppConfig instead of getBalanceConfig
* refactor: integrate configMiddleware for centralized configuration handling
* refactor: optimize email domain validation by removing unnecessary async calls
* refactor: simplify multer storage configuration by removing async calls
* refactor: reorder imports for better readability in user.js
* refactor: replace getAppConfig calls with req.config for improved performance
* chore: replace getAppConfig calls with req.config in tests for centralized configuration handling
* chore: remove unused override config
* refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config
* chore: remove customConfig parameter from TTSService constructor
* refactor: pass appConfig from request to processFileCitations for improved configuration handling
* refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config`
* test: add mockAppConfig to processFileCitations tests for improved configuration handling
* fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor
* fix: type safety in useExportConversation
* refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached
* chore: change `MongoUser` typedef to `IUser`
* fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest
* fix: remove unused setAppConfig mock from Server configuration tests
This commit is contained in:
parent
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210 changed files with 4102 additions and 3465 deletions
132
api/server/services/start/tools.js
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132
api/server/services/start/tools.js
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@ -0,0 +1,132 @@
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const fs = require('fs');
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const path = require('path');
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const { Tool } = require('@langchain/core/tools');
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const { logger } = require('@librechat/data-schemas');
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const { zodToJsonSchema } = require('zod-to-json-schema');
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const { Tools, ImageVisionTool } = require('librechat-data-provider');
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const { Calculator } = require('@langchain/community/tools/calculator');
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const { getToolkitKey, oaiToolkit, ytToolkit } = require('@librechat/api');
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const { toolkits } = require('~/app/clients/tools/manifest');
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/**
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* Loads and formats tools from the specified tool directory.
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*
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* The directory is scanned for JavaScript files, excluding any files in the filter set.
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* For each file, it attempts to load the file as a module and instantiate a class, if it's a subclass of `StructuredTool`.
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* Each tool instance is then formatted to be compatible with the OpenAI Assistant.
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* Additionally, instances of LangChain Tools are included in the result.
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*
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* @param {object} params - The parameters for the function.
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* @param {string} params.directory - The directory path where the tools are located.
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* @param {Array<string>} [params.adminFilter=[]] - Array of admin-defined tool keys to exclude from loading.
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* @param {Array<string>} [params.adminIncluded=[]] - Array of admin-defined tool keys to include from loading.
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* @returns {Record<string, FunctionTool>} An object mapping each tool's plugin key to its instance.
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*/
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function loadAndFormatTools({ directory, adminFilter = [], adminIncluded = [] }) {
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const filter = new Set([...adminFilter]);
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const included = new Set(adminIncluded);
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const tools = [];
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/* Structured Tools Directory */
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const files = fs.readdirSync(directory);
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if (included.size > 0 && adminFilter.length > 0) {
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logger.warn(
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'Both `includedTools` and `filteredTools` are defined; `filteredTools` will be ignored.',
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);
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}
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for (const file of files) {
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const filePath = path.join(directory, file);
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if (!file.endsWith('.js') || (filter.has(file) && included.size === 0)) {
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continue;
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}
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let ToolClass = null;
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try {
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ToolClass = require(filePath);
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} catch (error) {
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logger.error(`[loadAndFormatTools] Error loading tool from ${filePath}:`, error);
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continue;
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}
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if (!ToolClass || !(ToolClass.prototype instanceof Tool)) {
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continue;
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}
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let toolInstance = null;
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try {
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toolInstance = new ToolClass({ override: true });
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} catch (error) {
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logger.error(
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`[loadAndFormatTools] Error initializing \`${file}\` tool; if it requires authentication, is the \`override\` field configured?`,
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error,
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);
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continue;
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}
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if (!toolInstance) {
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continue;
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}
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if (filter.has(toolInstance.name) && included.size === 0) {
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continue;
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}
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if (included.size > 0 && !included.has(file) && !included.has(toolInstance.name)) {
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continue;
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}
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const formattedTool = formatToOpenAIAssistantTool(toolInstance);
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tools.push(formattedTool);
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}
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const basicToolInstances = [
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new Calculator(),
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...Object.values(oaiToolkit),
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...Object.values(ytToolkit),
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];
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for (const toolInstance of basicToolInstances) {
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const formattedTool = formatToOpenAIAssistantTool(toolInstance);
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let toolName = formattedTool[Tools.function].name;
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toolName = getToolkitKey({ toolkits, toolName }) ?? toolName;
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if (filter.has(toolName) && included.size === 0) {
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continue;
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}
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if (included.size > 0 && !included.has(toolName)) {
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continue;
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}
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tools.push(formattedTool);
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}
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tools.push(ImageVisionTool);
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return tools.reduce((map, tool) => {
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map[tool.function.name] = tool;
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return map;
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}, {});
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}
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/**
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* Formats a `StructuredTool` instance into a format that is compatible
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* with OpenAI's ChatCompletionFunctions. It uses the `zodToJsonSchema`
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* function to convert the schema of the `StructuredTool` into a JSON
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* schema, which is then used as the parameters for the OpenAI function.
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*
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* @param {StructuredTool} tool - The StructuredTool to format.
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* @returns {FunctionTool} The OpenAI Assistant Tool.
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*/
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function formatToOpenAIAssistantTool(tool) {
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return {
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type: Tools.function,
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[Tools.function]: {
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name: tool.name,
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description: tool.description,
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parameters: zodToJsonSchema(tool.schema),
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},
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};
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}
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module.exports = {
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loadAndFormatTools,
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};
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