LibreChat/api/server/services/AppService.js
Danny Avila 14660d75ae
🆕 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
2025-07-21 17:37:37 -04:00

173 lines
5.2 KiB
JavaScript

const { agentsConfigSetup, loadWebSearchConfig } = require('@librechat/api');
const {
FileSources,
loadOCRConfig,
EModelEndpoint,
loadMemoryConfig,
getConfigDefaults,
} = require('librechat-data-provider');
const {
checkHealth,
checkConfig,
checkVariables,
checkAzureVariables,
checkWebSearchConfig,
} = require('./start/checks');
const { azureAssistantsDefaults, assistantsConfigSetup } = require('./start/assistants');
const { initializeAzureBlobService } = require('./Files/Azure/initialize');
const { initializeFirebase } = require('./Files/Firebase/initialize');
const loadCustomConfig = require('./Config/loadCustomConfig');
const handleRateLimits = require('./Config/handleRateLimits');
const { loadDefaultInterface } = require('./start/interface');
const { loadTurnstileConfig } = require('./start/turnstile');
const { azureConfigSetup } = require('./start/azureOpenAI');
const { processModelSpecs } = require('./start/modelSpecs');
const { initializeS3 } = require('./Files/S3/initialize');
const { loadAndFormatTools } = require('./ToolService');
const { isEnabled } = require('~/server/utils');
const { initializeRoles } = require('~/models');
const { setCachedTools } = require('./Config');
const paths = require('~/config/paths');
/**
* Loads custom config and initializes app-wide variables.
* @function AppService
* @param {Express.Application} app - The Express application object.
*/
const AppService = async (app) => {
await initializeRoles();
/** @type {TCustomConfig} */
const config = (await loadCustomConfig()) ?? {};
const configDefaults = getConfigDefaults();
const ocr = loadOCRConfig(config.ocr);
const webSearch = loadWebSearchConfig(config.webSearch);
checkWebSearchConfig(webSearch);
const memory = loadMemoryConfig(config.memory);
const filteredTools = config.filteredTools;
const includedTools = config.includedTools;
const fileStrategy = config.fileStrategy ?? configDefaults.fileStrategy;
const startBalance = process.env.START_BALANCE;
const balance = config.balance ?? {
enabled: isEnabled(process.env.CHECK_BALANCE),
startBalance: startBalance ? parseInt(startBalance, 10) : undefined,
};
const imageOutputType = config?.imageOutputType ?? configDefaults.imageOutputType;
process.env.CDN_PROVIDER = fileStrategy;
checkVariables();
await checkHealth();
if (fileStrategy === FileSources.firebase) {
initializeFirebase();
} else if (fileStrategy === FileSources.azure_blob) {
initializeAzureBlobService();
} else if (fileStrategy === FileSources.s3) {
initializeS3();
}
/** @type {Record<string, FunctionTool>} */
const availableTools = loadAndFormatTools({
adminFilter: filteredTools,
adminIncluded: includedTools,
directory: paths.structuredTools,
});
await setCachedTools(availableTools, { isGlobal: true });
// Store MCP config for later initialization
const mcpConfig = config.mcpServers || null;
const socialLogins =
config?.registration?.socialLogins ?? configDefaults?.registration?.socialLogins;
const interfaceConfig = await loadDefaultInterface(config, configDefaults);
const turnstileConfig = loadTurnstileConfig(config, configDefaults);
const defaultLocals = {
ocr,
paths,
memory,
webSearch,
fileStrategy,
socialLogins,
filteredTools,
includedTools,
imageOutputType,
interfaceConfig,
turnstileConfig,
balance,
mcpConfig,
};
const agentsDefaults = agentsConfigSetup(config);
if (!Object.keys(config).length) {
app.locals = {
...defaultLocals,
[EModelEndpoint.agents]: agentsDefaults,
};
return;
}
checkConfig(config);
handleRateLimits(config?.rateLimits);
const endpointLocals = {};
const endpoints = config?.endpoints;
if (endpoints?.[EModelEndpoint.azureOpenAI]) {
endpointLocals[EModelEndpoint.azureOpenAI] = azureConfigSetup(config);
checkAzureVariables();
}
if (endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
endpointLocals[EModelEndpoint.azureAssistants] = azureAssistantsDefaults();
}
if (endpoints?.[EModelEndpoint.azureAssistants]) {
endpointLocals[EModelEndpoint.azureAssistants] = assistantsConfigSetup(
config,
EModelEndpoint.azureAssistants,
endpointLocals[EModelEndpoint.azureAssistants],
);
}
if (endpoints?.[EModelEndpoint.assistants]) {
endpointLocals[EModelEndpoint.assistants] = assistantsConfigSetup(
config,
EModelEndpoint.assistants,
endpointLocals[EModelEndpoint.assistants],
);
}
endpointLocals[EModelEndpoint.agents] = agentsConfigSetup(config, agentsDefaults);
const endpointKeys = [
EModelEndpoint.openAI,
EModelEndpoint.google,
EModelEndpoint.bedrock,
EModelEndpoint.anthropic,
EModelEndpoint.gptPlugins,
];
endpointKeys.forEach((key) => {
if (endpoints?.[key]) {
endpointLocals[key] = endpoints[key];
}
});
if (endpoints?.all) {
endpointLocals.all = endpoints.all;
}
app.locals = {
...defaultLocals,
fileConfig: config?.fileConfig,
secureImageLinks: config?.secureImageLinks,
modelSpecs: processModelSpecs(endpoints, config.modelSpecs, interfaceConfig),
...endpointLocals,
};
};
module.exports = AppService;