LibreChat/packages/api/src/utils/azure.ts
Danny Avila 29ef91b4dd
🧠 feat: User Memories for Conversational Context (#7760)
* 🧠 feat: User Memories for Conversational Context

chore: mcp typing, use `t`

WIP: first pass, Memories UI

- Added MemoryViewer component for displaying, editing, and deleting user memories.
- Integrated data provider hooks for fetching, updating, and deleting memories.
- Implemented pagination and loading states for better user experience.
- Created unit tests for MemoryViewer to ensure functionality and interaction with data provider.
- Updated translation files to include new UI strings related to memories.

chore: move mcp-related files to own directory

chore: rename librechat-mcp to librechat-api

WIP: first pass, memory processing and data schemas

chore: linting in fileSearch.js query description

chore: rename librechat-api to @librechat/api across the project

WIP: first pass, functional memory agent

feat: add MemoryEditDialog and MemoryViewer components for managing user memories

- Introduced MemoryEditDialog for editing memory entries with validation and toast notifications.
- Updated MemoryViewer to support editing and deleting memories, including pagination and loading states.
- Enhanced data provider to handle memory updates with optional original key for better management.
- Added new localization strings for memory-related UI elements.

feat: add memory permissions management

- Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories.
- Added new API endpoints for updating memory permissions associated with roles.
- Created a new AdminSettings component for managing memory permissions in the frontend.
- Integrated memory permissions into the existing roles and permissions schemas.
- Updated the interface to include memory settings and permissions.
- Enhanced the MemoryViewer component to conditionally render admin settings based on user roles.
- Added localization support for memory permissions in the translation files.

feat: move AdminSettings component to a new position in MemoryViewer for better visibility

refactor: clean up commented code in MemoryViewer component

feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration

- Added a search input to filter memories in the MemoryViewer component.
- Refactored MemoryEditDialog to accept children for better customization.
- Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories.
- Improved localization support by adding new strings for memory filtering and deletion confirmation.

refactor: optimize memory filtering in MemoryViewer using match-sorter

- Replaced manual filtering logic with match-sorter for improved search functionality.
- Enhanced performance and readability of the filteredMemories computation.

feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling

feat: implement access control for MemoryEditDialog and MemoryViewer components

refactor: remove commented out code and create runMemory method

refactor: rename role based files

feat: implement access control for memory usage in AgentClient

refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code

refactor: make `agents` dir in api package

refactor: migrate Azure utilities to TypeScript and consolidate imports

refactor: move sanitizeFilename function to a new file and update imports, add related tests

refactor: update LLM configuration types and consolidate Azure options in the API package

chore: linting

chore: import order

refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file

chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json

refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports

refactor: move createRun function to a new run.ts file and update related imports

fix: ensure safeAttachments is correctly typed as an array of TFile

chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file

refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options

feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling

fix: update types due to new TEndpointOption typing

fix: ensure safe access to group parameters in initializeOpenAIOptions function

fix: remove redundant API key validation comment in initializeOpenAIOptions function

refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation

refactor: decouple req.body fields and tool loading from initializeAgentOptions

chore: linting

refactor: adjust column widths in MemoryViewer for improved layout

refactor: simplify agent initialization by creating loadAgent function and removing unused code

feat: add memory configuration loading and validation functions

WIP: first pass, memory processing with config

feat: implement memory callback and artifact handling

feat: implement memory artifacts display and processing updates

feat: add memory configuration options and schema validation for validKeys

fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements

refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling

WIP: initial tokenLimit config and move Tokenizer to @librechat/api

refactor: update mongoMeili plugin methods to use callback for better error handling

feat: enhance memory management with token tracking and usage metrics

- Added token counting for memory entries to enforce limits and provide usage statistics.
- Updated memory retrieval and update routes to include total token usage and limit.
- Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information.
- Refactored memory processing functions to handle token limits and provide feedback on memory capacity.

feat: implement memory artifact handling in attachment handler

- Enhanced useAttachmentHandler to process memory artifacts when receiving updates.
- Introduced handleMemoryArtifact utility to manage memory updates and deletions.
- Updated query client to reflect changes in memory state based on incoming data.

refactor: restructure web search key extraction logic

- Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys.
- Updated webSearchKeys to utilize the new function for improved clarity and maintainability.
- Prevents build time errors

feat: add personalization settings and memory preferences management

- Introduced a new Personalization tab in settings to manage user memory preferences.
- Implemented API endpoints and client-side logic for updating memory preferences.
- Enhanced user interface components to reflect personalization options and memory usage.
- Updated permissions to allow users to opt out of memory features.
- Added localization support for new settings and messages related to personalization.

style: personalization switch class

feat: add PersonalizationIcon and align Side Panel UI

feat: implement memory creation functionality

- Added a new API endpoint for creating memory entries, including validation for key and value.
- Introduced MemoryCreateDialog component for user interface to facilitate memory creation.
- Integrated token limit checks to prevent exceeding user memory capacity.
- Updated MemoryViewer to include a button for opening the memory creation dialog.
- Enhanced localization support for new messages related to memory creation.

feat: enhance message processing with configurable window size

- Updated AgentClient to use a configurable message window size for processing messages.
- Introduced messageWindowSize option in memory configuration schema with a default value of 5.
- Improved logic for selecting messages to process based on the configured window size.

chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json

chore: remove OpenAPIPlugin and its associated tests

chore: remove MIGRATION_README.md as migration tasks are completed

ci: fix backend tests

chore: remove unused translation keys from localization file

chore: remove problematic test file and unused var in AgentClient

chore: remove unused import and import directly for JSDoc

* feat: add api package build stage in Dockerfile for improved modularity

* docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00

120 lines
5 KiB
TypeScript

import { isEnabled } from './common';
import type { AzureOptions, GenericClient } from '~/types';
/**
* Sanitizes the model name to be used in the URL by removing or replacing disallowed characters.
* @param modelName - The model name to be sanitized.
* @returns The sanitized model name.
*/
export const sanitizeModelName = (modelName: string): string => {
// Replace periods with empty strings and other disallowed characters as needed.
return modelName.replace(/\./g, '');
};
/**
* Generates the Azure OpenAI API endpoint URL.
* @param params - The parameters object.
* @param params.azureOpenAIApiInstanceName - The Azure OpenAI API instance name.
* @param params.azureOpenAIApiDeploymentName - The Azure OpenAI API deployment name.
* @returns The complete endpoint URL for the Azure OpenAI API.
*/
export const genAzureEndpoint = ({
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
}: {
azureOpenAIApiInstanceName: string;
azureOpenAIApiDeploymentName: string;
}): string => {
return `https://${azureOpenAIApiInstanceName}.openai.azure.com/openai/deployments/${azureOpenAIApiDeploymentName}`;
};
/**
* Generates the Azure OpenAI API chat completion endpoint URL with the API version.
* If both deploymentName and modelName are provided, modelName takes precedence.
* @param azureConfig - The Azure configuration object.
* @param azureConfig.azureOpenAIApiInstanceName - The Azure OpenAI API instance name.
* @param azureConfig.azureOpenAIApiDeploymentName - The Azure OpenAI API deployment name (optional).
* @param azureConfig.azureOpenAIApiVersion - The Azure OpenAI API version.
* @param modelName - The model name to be included in the deployment name (optional).
* @param client - The API Client class for optionally setting properties (optional).
* @returns The complete chat completion endpoint URL for the Azure OpenAI API.
* @throws Error if neither azureOpenAIApiDeploymentName nor modelName is provided.
*/
export const genAzureChatCompletion = (
{
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
azureOpenAIApiVersion,
}: {
azureOpenAIApiInstanceName: string;
azureOpenAIApiDeploymentName?: string;
azureOpenAIApiVersion: string;
},
modelName?: string,
client?: GenericClient,
): string => {
// Determine the deployment segment of the URL based on provided modelName or azureOpenAIApiDeploymentName
let deploymentSegment: string;
if (isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME) && modelName) {
const sanitizedModelName = sanitizeModelName(modelName);
deploymentSegment = sanitizedModelName;
if (client && typeof client === 'object') {
client.azure.azureOpenAIApiDeploymentName = sanitizedModelName;
}
} else if (azureOpenAIApiDeploymentName) {
deploymentSegment = azureOpenAIApiDeploymentName;
} else if (!process.env.AZURE_OPENAI_BASEURL) {
throw new Error(
'Either a model name with the `AZURE_USE_MODEL_AS_DEPLOYMENT_NAME` setting or a deployment name must be provided if `AZURE_OPENAI_BASEURL` is omitted.',
);
} else {
deploymentSegment = '';
}
return `https://${azureOpenAIApiInstanceName}.openai.azure.com/openai/deployments/${deploymentSegment}/chat/completions?api-version=${azureOpenAIApiVersion}`;
};
/**
* Retrieves the Azure OpenAI API credentials from environment variables.
* @returns An object containing the Azure OpenAI API credentials.
*/
export const getAzureCredentials = (): AzureOptions => {
return {
azureOpenAIApiKey: process.env.AZURE_API_KEY ?? process.env.AZURE_OPENAI_API_KEY,
azureOpenAIApiInstanceName: process.env.AZURE_OPENAI_API_INSTANCE_NAME,
azureOpenAIApiDeploymentName: process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME,
azureOpenAIApiVersion: process.env.AZURE_OPENAI_API_VERSION,
};
};
/**
* Constructs a URL by replacing placeholders in the baseURL with values from the azure object.
* It specifically looks for '${INSTANCE_NAME}' and '${DEPLOYMENT_NAME}' within the baseURL and replaces
* them with 'azureOpenAIApiInstanceName' and 'azureOpenAIApiDeploymentName' from the azure object.
* If the respective azure property is not provided, the placeholder is replaced with an empty string.
*
* @param params - The parameters object.
* @param params.baseURL - The baseURL to inspect for replacement placeholders.
* @param params.azureOptions - The azure options object containing the instance and deployment names.
* @returns The complete baseURL with credentials injected for the Azure OpenAI API.
*/
export function constructAzureURL({
baseURL,
azureOptions,
}: {
baseURL: string;
azureOptions?: AzureOptions;
}): string {
let finalURL = baseURL;
// Replace INSTANCE_NAME and DEPLOYMENT_NAME placeholders with actual values if available
if (azureOptions) {
finalURL = finalURL.replace('${INSTANCE_NAME}', azureOptions.azureOpenAIApiInstanceName ?? '');
finalURL = finalURL.replace(
'${DEPLOYMENT_NAME}',
azureOptions.azureOpenAIApiDeploymentName ?? '',
);
}
return finalURL;
}