LibreChat/api/app/clients/tools/structured/AzureAISearch.js
Danny Avila ad74350036
🚧 chore: merge latest dev build (#4288)
* fix: agent initialization, add `collectedUsage` handling

* style: improve side panel styling

* refactor(loadAgent): Optimize order agent project ID retrieval

* feat: code execution

* fix: typing issues

* feat: ExecuteCode content part

* refactor: use local state for default collapsed state of analysis content parts

* fix: code parsing in ExecuteCode component

* chore: bump agents package, export loadAuthValues

* refactor: Update handleTools.js to use EnvVar for code execution tool authentication

* WIP

* feat: download code outputs

* fix(useEventHandlers): type issues

* feat: backend handling for code outputs

* Refactor: Remove console.log statement in Part.tsx

* refactor: add attachments to TMessage/messageSchema

* WIP: prelim handling for code outputs

* feat: attachments rendering

* refactor: improve attachments rendering

* fix: attachments, nullish edge case, handle attachments from event stream, bump agents package

* fix filename download

* fix: tool assignment for 'run code' on agent creation

* fix: image handling by adding attachments

* refactor: prevent agent creation without provider/model

* refactor: remove unnecessary space in agent creation success message

* refactor: select first model if selecting provider from empty on form

* fix: Agent avatar bug

* fix: `defaultAgentFormValues` causing boolean typing issue and typeerror

* fix: capabilities counting as tools, causing duplication of them

* fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation)

* chore: bump @librechat/agents dependency to version 1.6.9

* feat: bedrock agents

* feat: new Agents icon

* feat: agent titling

* feat: agent landing

* refactor: allow sharing agent globally only if user is admin or author

* feat: initial AgentPanelSkeleton

* feat: AgentPanelSkeleton

* feat: collaborative agents

* chore: add potential authorName as part of schema

* chore: Remove unnecessary console.log statement

* WIP: agent model parameters

* chore: ToolsDialog typing and tool related localization chnages

* refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper

* chore: add back tools

* feat: Agent knowledge files upload

* refactor: better verbiage for disabled knowledge

* chore: debug logs for file deletions

* chore: debug logs for file deletions

* feat: upload/delete agent knowledge/file-search files

* feat: file search UI for agents

* feat: first pass, file search tool

* chore: update default agent capabilities and info
2024-09-30 17:17:57 -04:00

104 lines
3.3 KiB
JavaScript

const { z } = require('zod');
const { Tool } = require('@langchain/core/tools');
const { SearchClient, AzureKeyCredential } = require('@azure/search-documents');
const { logger } = require('~/config');
class AzureAISearch extends Tool {
// 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();
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;
// Define schema
this.schema = z.object({
query: z.string().describe('Search word or phrase to Azure AI Search'),
});
// 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;