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* 🔧 chore: Update dependencies in package-lock.json and package.json - Bump version of @librechat/agents to 3.1.75-dev.0 in multiple package.json files. - Upgrade various AWS SDK and Smithy dependencies to their latest versions in package-lock.json for improved stability and performance. * 🔧 chore: Update AWS SDK and Smithy dependencies in package-lock.json - Bump version of @aws-sdk/client-bedrock-runtime to 3.1041.0 and update related dependencies for improved performance and stability. - Upgrade various AWS SDK and Smithy packages to their latest versions, ensuring compatibility and enhanced functionality. * chore: Align LibreChat with agents LangChain upgrade - Route LangChain imports through @librechat/agents facade exports - Update @librechat/agents to 3.1.75-dev.1 and remove direct LangChain deps - Normalize nullable agent model params and API key override typing - Update Google thinking config typing for newer LangChain packages - Refresh targeted audit-related dependency overrides * chore: Add Jest types for API specs * test: Fix LangChain upgrade CI specs * test: Exercise agents env facade * fix: Clean up TS preview diagnostics * fix: Address Codex review feedback
115 lines
3.5 KiB
JavaScript
115 lines
3.5 KiB
JavaScript
const { logger } = require('@librechat/data-schemas');
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const { Tool } = require('@librechat/agents/langchain/tools');
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const { SearchClient, AzureKeyCredential } = require('@azure/search-documents');
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const azureAISearchJsonSchema = {
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type: 'object',
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properties: {
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query: {
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type: 'string',
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description: 'Search word or phrase to Azure AI Search',
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},
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},
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required: ['query'],
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};
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class AzureAISearch extends Tool {
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// Constants for default values
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static DEFAULT_API_VERSION = '2023-11-01';
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static DEFAULT_QUERY_TYPE = 'simple';
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static DEFAULT_TOP = 5;
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static get jsonSchema() {
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return azureAISearchJsonSchema;
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}
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// Helper function for initializing properties
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_initializeField(field, envVar, defaultValue) {
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return field || process.env[envVar] || defaultValue;
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}
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constructor(fields = {}) {
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super();
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this.name = 'azure-ai-search';
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this.description =
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"Use the 'azure-ai-search' tool to retrieve search results relevant to your input";
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/* Used to initialize the Tool without necessary variables. */
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this.override = fields.override ?? false;
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this.schema = azureAISearchJsonSchema;
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// Initialize properties using helper function
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this.serviceEndpoint = this._initializeField(
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fields.AZURE_AI_SEARCH_SERVICE_ENDPOINT,
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'AZURE_AI_SEARCH_SERVICE_ENDPOINT',
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);
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this.indexName = this._initializeField(
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fields.AZURE_AI_SEARCH_INDEX_NAME,
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'AZURE_AI_SEARCH_INDEX_NAME',
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);
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this.apiKey = this._initializeField(fields.AZURE_AI_SEARCH_API_KEY, 'AZURE_AI_SEARCH_API_KEY');
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this.apiVersion = this._initializeField(
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fields.AZURE_AI_SEARCH_API_VERSION,
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'AZURE_AI_SEARCH_API_VERSION',
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AzureAISearch.DEFAULT_API_VERSION,
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);
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this.queryType = this._initializeField(
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fields.AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE,
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'AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE',
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AzureAISearch.DEFAULT_QUERY_TYPE,
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);
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this.top = this._initializeField(
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fields.AZURE_AI_SEARCH_SEARCH_OPTION_TOP,
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'AZURE_AI_SEARCH_SEARCH_OPTION_TOP',
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AzureAISearch.DEFAULT_TOP,
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);
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this.select = this._initializeField(
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fields.AZURE_AI_SEARCH_SEARCH_OPTION_SELECT,
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'AZURE_AI_SEARCH_SEARCH_OPTION_SELECT',
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);
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// Check for required fields
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if (!this.override && (!this.serviceEndpoint || !this.indexName || !this.apiKey)) {
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throw new Error(
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'Missing AZURE_AI_SEARCH_SERVICE_ENDPOINT, AZURE_AI_SEARCH_INDEX_NAME, or AZURE_AI_SEARCH_API_KEY environment variable.',
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);
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}
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if (this.override) {
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return;
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}
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// Create SearchClient
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this.client = new SearchClient(
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this.serviceEndpoint,
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this.indexName,
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new AzureKeyCredential(this.apiKey),
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{ apiVersion: this.apiVersion },
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);
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}
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// Improved error handling and logging
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async _call(data) {
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const { query } = data;
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try {
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const searchOption = {
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queryType: this.queryType,
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top: typeof this.top === 'string' ? Number(this.top) : this.top,
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};
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if (this.select) {
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searchOption.select = this.select.split(',');
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}
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const searchResults = await this.client.search(query, searchOption);
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const resultDocuments = [];
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for await (const result of searchResults.results) {
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resultDocuments.push(result.document);
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}
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return JSON.stringify(resultDocuments);
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} catch (error) {
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logger.error('Azure AI Search request failed', error);
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return 'There was an error with Azure AI Search.';
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}
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}
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}
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module.exports = AzureAISearch;
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