LibreChat/api/app/clients/tools/structured/AzureAISearch.js
Danny Avila 1b79e0b785
🧬 chore: Align LibreChat With Agents LangChain Upgrade (#12922)
* 🔧 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
2026-05-03 12:46:01 -04:00

115 lines
3.5 KiB
JavaScript

const { logger } = require('@librechat/data-schemas');
const { Tool } = require('@librechat/agents/langchain/tools');
const { SearchClient, AzureKeyCredential } = require('@azure/search-documents');
const azureAISearchJsonSchema = {
type: 'object',
properties: {
query: {
type: 'string',
description: 'Search word or phrase to Azure AI Search',
},
},
required: ['query'],
};
class AzureAISearch extends Tool {
// Constants for default values
static DEFAULT_API_VERSION = '2023-11-01';
static DEFAULT_QUERY_TYPE = 'simple';
static DEFAULT_TOP = 5;
static get jsonSchema() {
return azureAISearchJsonSchema;
}
// Helper function for initializing properties
_initializeField(field, envVar, defaultValue) {
return field || process.env[envVar] || defaultValue;
}
constructor(fields = {}) {
super();
this.name = 'azure-ai-search';
this.description =
"Use the 'azure-ai-search' tool to retrieve search results relevant to your input";
/* Used to initialize the Tool without necessary variables. */
this.override = fields.override ?? false;
this.schema = azureAISearchJsonSchema;
// Initialize properties using helper function
this.serviceEndpoint = this._initializeField(
fields.AZURE_AI_SEARCH_SERVICE_ENDPOINT,
'AZURE_AI_SEARCH_SERVICE_ENDPOINT',
);
this.indexName = this._initializeField(
fields.AZURE_AI_SEARCH_INDEX_NAME,
'AZURE_AI_SEARCH_INDEX_NAME',
);
this.apiKey = this._initializeField(fields.AZURE_AI_SEARCH_API_KEY, 'AZURE_AI_SEARCH_API_KEY');
this.apiVersion = this._initializeField(
fields.AZURE_AI_SEARCH_API_VERSION,
'AZURE_AI_SEARCH_API_VERSION',
AzureAISearch.DEFAULT_API_VERSION,
);
this.queryType = this._initializeField(
fields.AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE,
'AZURE_AI_SEARCH_SEARCH_OPTION_QUERY_TYPE',
AzureAISearch.DEFAULT_QUERY_TYPE,
);
this.top = this._initializeField(
fields.AZURE_AI_SEARCH_SEARCH_OPTION_TOP,
'AZURE_AI_SEARCH_SEARCH_OPTION_TOP',
AzureAISearch.DEFAULT_TOP,
);
this.select = this._initializeField(
fields.AZURE_AI_SEARCH_SEARCH_OPTION_SELECT,
'AZURE_AI_SEARCH_SEARCH_OPTION_SELECT',
);
// Check for required fields
if (!this.override && (!this.serviceEndpoint || !this.indexName || !this.apiKey)) {
throw new Error(
'Missing AZURE_AI_SEARCH_SERVICE_ENDPOINT, AZURE_AI_SEARCH_INDEX_NAME, or AZURE_AI_SEARCH_API_KEY environment variable.',
);
}
if (this.override) {
return;
}
// Create SearchClient
this.client = new SearchClient(
this.serviceEndpoint,
this.indexName,
new AzureKeyCredential(this.apiKey),
{ apiVersion: this.apiVersion },
);
}
// Improved error handling and logging
async _call(data) {
const { query } = data;
try {
const searchOption = {
queryType: this.queryType,
top: typeof this.top === 'string' ? Number(this.top) : this.top,
};
if (this.select) {
searchOption.select = this.select.split(',');
}
const searchResults = await this.client.search(query, searchOption);
const resultDocuments = [];
for await (const result of searchResults.results) {
resultDocuments.push(result.document);
}
return JSON.stringify(resultDocuments);
} catch (error) {
logger.error('Azure AI Search request failed', error);
return 'There was an error with Azure AI Search.';
}
}
}
module.exports = AzureAISearch;