LibreChat/api/app/clients/tools/structured/AzureAISearch.js
Danny Avila ea1dd59ef4
refactor(api): Central Logging 📜 (#1348)
* WIP: initial logging changes
add several transports in ~/config/winston
omit messages in logs, truncate long strings
add short blurb in dotenv for debug logging
GoogleClient: using logger
OpenAIClient: using logger, handleOpenAIErrors
Adding typedef for payload message
bumped winston and using winston-daily-rotate-file
moved config for server paths to ~/config dir
Added `DEBUG_LOGGING=true` to .env.example

* WIP: Refactor logging statements in code

* WIP: Refactor logging statements and import configurations

* WIP: Refactor logging statements and import configurations

* refactor: broadcast Redis initialization message with `info` not `debug`

* refactor: complete Refactor logging statements and import configurations

* chore: delete unused tools

* fix: circular dependencies due to accessing logger

* refactor(handleText): handle booleans and write tests

* refactor: redact sensitive values, better formatting

* chore: improve log formatting, avoid passing strings to 2nd arg

* fix(ci): fix jest tests due to logger changes

* refactor(getAvailablePluginsController): cache plugins as they are static and avoids async addOpenAPISpecs call every time

* chore: update docs

* chore: update docs

* chore: create separate meiliSync logger, clean up logs to avoid being unnecessarily verbose

* chore: spread objects where they are commonly logged to allow string truncation

* chore: improve error log formatting
2023-12-14 07:49:27 -05:00

104 lines
3.2 KiB
JavaScript

const { z } = require('zod');
const { StructuredTool } = require('langchain/tools');
const { SearchClient, AzureKeyCredential } = require('@azure/search-documents');
const { logger } = require('~/config');
class AzureAISearch extends StructuredTool {
// Constants for default values
static DEFAULT_API_VERSION = '2023-11-01';
static DEFAULT_QUERY_TYPE = 'simple';
static DEFAULT_TOP = 5;
// Helper function for initializing properties
_initializeField(field, envVar, defaultValue) {
return field || process.env[envVar] || defaultValue;
}
constructor(fields = {}) {
super();
// 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.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.',
);
}
// Create SearchClient
this.client = new SearchClient(
this.serviceEndpoint,
this.indexName,
new AzureKeyCredential(this.apiKey),
{ apiVersion: this.apiVersion },
);
// Define schema
this.schema = z.object({
query: z.string().describe('Search word or phrase to Azure AI Search'),
});
}
// Simplified getter methods
get name() {
return 'azure-ai-search';
}
get description() {
return 'Use the \'azure-ai-search\' tool to retrieve search results relevant to your input';
}
// Improved error handling and logging
async _call(data) {
const { query } = data;
try {
const searchOption = {
queryType: this.queryType,
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;