LibreChat/api/server/services/AppService.js
Ruben Talstra bc039cea29
🔧 fix: Azure Blob Integration and File Source References (#6575)
* 🔧 fix: Update file source references to include 'azure_blob' for correct service initialization

* 🔧 fix: Add Azure Blob Storage Emulator entries to .gitignore

* fix: Update file source references to include 'azure_blob' for correct service initialization

* fix: Refactor Azure Blob Storage functions to use environment variables for access control and container name, fix deletion improper logging and improper params

* fix: Add basePath determination for agent file uploads based on MIME type

* fix: Implement file streaming to Azure Blob Storage to optimize memory usage during uploads (non-images)

* fix: Update SourceIcon to include 'azure_blob' class and adjust model setting in useSelectorEffects for assistants

* chore: import order

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2025-03-31 13:44:20 -04:00

154 lines
4.7 KiB
JavaScript

const {
FileSources,
EModelEndpoint,
loadOCRConfig,
processMCPEnv,
getConfigDefaults,
} = require('librechat-data-provider');
const { checkVariables, checkHealth, checkConfig, checkAzureVariables } = 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 { azureConfigSetup } = require('./start/azureOpenAI');
const { processModelSpecs } = require('./start/modelSpecs');
const { initializeS3 } = require('./Files/S3/initialize');
const { loadAndFormatTools } = require('./ToolService');
const { agentsConfigSetup } = require('./start/agents');
const { initializeRoles } = require('~/models/Role');
const { isEnabled } = require('~/server/utils');
const { getMCPManager } = 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 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,
});
if (config.mcpServers != null) {
const mcpManager = await getMCPManager();
await mcpManager.initializeMCP(config.mcpServers, processMCPEnv);
await mcpManager.mapAvailableTools(availableTools);
}
const socialLogins =
config?.registration?.socialLogins ?? configDefaults?.registration?.socialLogins;
const interfaceConfig = await loadDefaultInterface(config, configDefaults);
const defaultLocals = {
ocr,
paths,
fileStrategy,
socialLogins,
filteredTools,
includedTools,
availableTools,
imageOutputType,
interfaceConfig,
balance,
};
if (!Object.keys(config).length) {
app.locals = defaultLocals;
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],
);
}
if (endpoints?.[EModelEndpoint.agents]) {
endpointLocals[EModelEndpoint.agents] = agentsConfigSetup(config);
}
const endpointKeys = [
EModelEndpoint.openAI,
EModelEndpoint.google,
EModelEndpoint.bedrock,
EModelEndpoint.anthropic,
EModelEndpoint.gptPlugins,
];
endpointKeys.forEach((key) => {
if (endpoints?.[key]) {
endpointLocals[key] = endpoints[key];
}
});
app.locals = {
...defaultLocals,
fileConfig: config?.fileConfig,
secureImageLinks: config?.secureImageLinks,
modelSpecs: processModelSpecs(endpoints, config.modelSpecs),
...endpointLocals,
};
};
module.exports = AppService;