LibreChat/packages/api/src/utils/azure.spec.ts

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🧠 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
import {
genAzureChatCompletion,
getAzureCredentials,
constructAzureURL,
🧠 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
sanitizeModelName,
genAzureEndpoint,
} from './azure';
import type { GenericClient } from '~/types';
describe('sanitizeModelName', () => {
test('removes periods from the model name', () => {
const sanitized = sanitizeModelName('model.name');
expect(sanitized).toBe('modelname');
});
test('leaves model name unchanged if no periods are present', () => {
const sanitized = sanitizeModelName('modelname');
expect(sanitized).toBe('modelname');
});
});
describe('genAzureEndpoint', () => {
test('generates correct endpoint URL', () => {
const url = genAzureEndpoint({
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiDeploymentName: 'deploymentName',
});
expect(url).toBe('https://instanceName.openai.azure.com/openai/deployments/deploymentName');
});
});
describe('genAzureChatCompletion', () => {
// Test with both deployment name and model name provided
test('prefers model name over deployment name when both are provided and feature enabled', () => {
process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
const url = genAzureChatCompletion(
{
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiDeploymentName: 'deploymentName',
azureOpenAIApiVersion: 'v1',
},
'modelName',
);
expect(url).toBe(
'https://instanceName.openai.azure.com/openai/deployments/modelName/chat/completions?api-version=v1',
);
});
// Test with only deployment name provided
test('uses deployment name when model name is not provided', () => {
const url = genAzureChatCompletion({
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiDeploymentName: 'deploymentName',
azureOpenAIApiVersion: 'v1',
});
expect(url).toBe(
'https://instanceName.openai.azure.com/openai/deployments/deploymentName/chat/completions?api-version=v1',
);
});
// Test with only model name provided
test('uses model name when deployment name is not provided and feature enabled', () => {
process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
const url = genAzureChatCompletion(
{
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiVersion: 'v1',
},
'modelName',
);
expect(url).toBe(
'https://instanceName.openai.azure.com/openai/deployments/modelName/chat/completions?api-version=v1',
);
});
// Test with neither deployment name nor model name provided
test('throws error if neither deployment name nor model name is provided', () => {
expect(() => {
genAzureChatCompletion({
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiVersion: 'v1',
});
}).toThrow(
'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.',
);
});
// Test with feature disabled but model name provided
test('ignores model name and uses deployment name when feature is disabled', () => {
process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'false';
const url = genAzureChatCompletion(
{
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiDeploymentName: 'deploymentName',
azureOpenAIApiVersion: 'v1',
},
'modelName',
);
expect(url).toBe(
'https://instanceName.openai.azure.com/openai/deployments/deploymentName/chat/completions?api-version=v1',
);
});
// Test with sanitized model name
test('sanitizes model name when used in URL', () => {
process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
const url = genAzureChatCompletion(
{
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiVersion: 'v1',
},
'model.name',
);
expect(url).toBe(
'https://instanceName.openai.azure.com/openai/deployments/modelname/chat/completions?api-version=v1',
);
});
// Test with client parameter and model name
test('updates client with sanitized model name when provided and feature enabled', () => {
process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'true';
🧠 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
const clientMock = { azure: {} } as GenericClient;
const url = genAzureChatCompletion(
{
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiVersion: 'v1',
},
'model.name',
clientMock,
);
expect(url).toBe(
'https://instanceName.openai.azure.com/openai/deployments/modelname/chat/completions?api-version=v1',
);
expect(clientMock.azure.azureOpenAIApiDeploymentName).toBe('modelname');
});
// Test with client parameter but without model name
test('does not update client when model name is not provided', () => {
🧠 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
const clientMock = { azure: {} } as GenericClient;
const url = genAzureChatCompletion(
{
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiDeploymentName: 'deploymentName',
azureOpenAIApiVersion: 'v1',
},
undefined,
clientMock,
);
expect(url).toBe(
'https://instanceName.openai.azure.com/openai/deployments/deploymentName/chat/completions?api-version=v1',
);
expect(clientMock.azure.azureOpenAIApiDeploymentName).toBeUndefined();
});
// Test with client parameter and deployment name when feature is disabled
test('does not update client when feature is disabled', () => {
process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME = 'false';
🧠 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
const clientMock = { azure: {} } as GenericClient;
const url = genAzureChatCompletion(
{
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiDeploymentName: 'deploymentName',
azureOpenAIApiVersion: 'v1',
},
'modelName',
clientMock,
);
expect(url).toBe(
'https://instanceName.openai.azure.com/openai/deployments/deploymentName/chat/completions?api-version=v1',
);
expect(clientMock.azure.azureOpenAIApiDeploymentName).toBeUndefined();
});
// Reset environment variable after tests
afterEach(() => {
delete process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME;
});
});
describe('getAzureCredentials', () => {
beforeEach(() => {
process.env.AZURE_API_KEY = 'testApiKey';
process.env.AZURE_OPENAI_API_INSTANCE_NAME = 'instanceName';
process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME = 'deploymentName';
process.env.AZURE_OPENAI_API_VERSION = 'v1';
});
test('retrieves Azure OpenAI API credentials from environment variables', () => {
const credentials = getAzureCredentials();
expect(credentials).toEqual({
azureOpenAIApiKey: 'testApiKey',
azureOpenAIApiInstanceName: 'instanceName',
azureOpenAIApiDeploymentName: 'deploymentName',
azureOpenAIApiVersion: 'v1',
});
});
});
describe('constructAzureURL', () => {
test('replaces both placeholders when both properties are provided', () => {
const url = constructAzureURL({
baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
🅰️ feat: Azure OpenAI Assistants API Support (#1992) * chore: rename dir from `assistant` to plural * feat: `assistants` field for azure config, spread options in AppService * refactor: rename constructAzureURL param for azure as `azureOptions` * chore: bump openai and bun * chore(loadDefaultModels): change naming of assistant -> assistants * feat: load azure settings with currect baseURL for assistants' initializeClient * refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig * feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled * feat(AppService): determine assistant models on startup, throw Error if none * refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations * feat: support listing and deleting assistants with azure * feat: add model query to assistant avatar upload * feat: add azure support for retrieveRun method * refactor: update OpenAIClient initialization * chore: update README * fix(ci): tests passing * refactor(uploadOpenAIFile): improve logging and use more efficient REST API method * refactor(useFileHandling): add model to metadata to target Azure region compatible with current model * chore(files): add azure naming pattern for valid file id recognition * fix(assistants): initialize openai with first available assistant model if none provided * refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options * refactor(sleep): move sleep function out of Runs and into `~/server/utils` * fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled * refactor(uploadOpenAIFile): revert to old method * chore(uploadOpenAIFile): use enum for file purpose * docs: azureOpenAI update guide with more info, examples * feat: enable/disable assistant capabilities and specify retrieval models * refactor: optional chain conditional statement in loadConfigModels.js * docs: add assistants examples * chore: update librechat.example.yaml * docs(azure): update note of file upload behavior in Azure OpenAI Assistants * chore: update docs and add descriptive message about assistant errors * fix: prevent message submission with invalid assistant or if files loading * style: update Landing icon & text when assistant is not selected * chore: bump librechat-data-provider to 0.4.8 * fix(assistants/azure): assign req.body.model for proper azure init to abort runs
2024-03-14 17:21:42 -04:00
azureOptions: {
azureOpenAIApiInstanceName: 'instance1',
azureOpenAIApiDeploymentName: 'deployment1',
},
});
expect(url).toBe('https://example.com/instance1/deployment1');
});
test('replaces only INSTANCE_NAME when only azureOpenAIApiInstanceName is provided', () => {
const url = constructAzureURL({
baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
🅰️ feat: Azure OpenAI Assistants API Support (#1992) * chore: rename dir from `assistant` to plural * feat: `assistants` field for azure config, spread options in AppService * refactor: rename constructAzureURL param for azure as `azureOptions` * chore: bump openai and bun * chore(loadDefaultModels): change naming of assistant -> assistants * feat: load azure settings with currect baseURL for assistants' initializeClient * refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig * feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled * feat(AppService): determine assistant models on startup, throw Error if none * refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations * feat: support listing and deleting assistants with azure * feat: add model query to assistant avatar upload * feat: add azure support for retrieveRun method * refactor: update OpenAIClient initialization * chore: update README * fix(ci): tests passing * refactor(uploadOpenAIFile): improve logging and use more efficient REST API method * refactor(useFileHandling): add model to metadata to target Azure region compatible with current model * chore(files): add azure naming pattern for valid file id recognition * fix(assistants): initialize openai with first available assistant model if none provided * refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options * refactor(sleep): move sleep function out of Runs and into `~/server/utils` * fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled * refactor(uploadOpenAIFile): revert to old method * chore(uploadOpenAIFile): use enum for file purpose * docs: azureOpenAI update guide with more info, examples * feat: enable/disable assistant capabilities and specify retrieval models * refactor: optional chain conditional statement in loadConfigModels.js * docs: add assistants examples * chore: update librechat.example.yaml * docs(azure): update note of file upload behavior in Azure OpenAI Assistants * chore: update docs and add descriptive message about assistant errors * fix: prevent message submission with invalid assistant or if files loading * style: update Landing icon & text when assistant is not selected * chore: bump librechat-data-provider to 0.4.8 * fix(assistants/azure): assign req.body.model for proper azure init to abort runs
2024-03-14 17:21:42 -04:00
azureOptions: {
azureOpenAIApiInstanceName: 'instance2',
},
});
expect(url).toBe('https://example.com/instance2/');
});
test('replaces only DEPLOYMENT_NAME when only azureOpenAIApiDeploymentName is provided', () => {
const url = constructAzureURL({
baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
🅰️ feat: Azure OpenAI Assistants API Support (#1992) * chore: rename dir from `assistant` to plural * feat: `assistants` field for azure config, spread options in AppService * refactor: rename constructAzureURL param for azure as `azureOptions` * chore: bump openai and bun * chore(loadDefaultModels): change naming of assistant -> assistants * feat: load azure settings with currect baseURL for assistants' initializeClient * refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig * feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled * feat(AppService): determine assistant models on startup, throw Error if none * refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations * feat: support listing and deleting assistants with azure * feat: add model query to assistant avatar upload * feat: add azure support for retrieveRun method * refactor: update OpenAIClient initialization * chore: update README * fix(ci): tests passing * refactor(uploadOpenAIFile): improve logging and use more efficient REST API method * refactor(useFileHandling): add model to metadata to target Azure region compatible with current model * chore(files): add azure naming pattern for valid file id recognition * fix(assistants): initialize openai with first available assistant model if none provided * refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options * refactor(sleep): move sleep function out of Runs and into `~/server/utils` * fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled * refactor(uploadOpenAIFile): revert to old method * chore(uploadOpenAIFile): use enum for file purpose * docs: azureOpenAI update guide with more info, examples * feat: enable/disable assistant capabilities and specify retrieval models * refactor: optional chain conditional statement in loadConfigModels.js * docs: add assistants examples * chore: update librechat.example.yaml * docs(azure): update note of file upload behavior in Azure OpenAI Assistants * chore: update docs and add descriptive message about assistant errors * fix: prevent message submission with invalid assistant or if files loading * style: update Landing icon & text when assistant is not selected * chore: bump librechat-data-provider to 0.4.8 * fix(assistants/azure): assign req.body.model for proper azure init to abort runs
2024-03-14 17:21:42 -04:00
azureOptions: {
azureOpenAIApiDeploymentName: 'deployment2',
},
});
expect(url).toBe('https://example.com//deployment2');
});
test('does not replace any placeholders when azure object is empty', () => {
const url = constructAzureURL({
baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
🅰️ feat: Azure OpenAI Assistants API Support (#1992) * chore: rename dir from `assistant` to plural * feat: `assistants` field for azure config, spread options in AppService * refactor: rename constructAzureURL param for azure as `azureOptions` * chore: bump openai and bun * chore(loadDefaultModels): change naming of assistant -> assistants * feat: load azure settings with currect baseURL for assistants' initializeClient * refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig * feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled * feat(AppService): determine assistant models on startup, throw Error if none * refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations * feat: support listing and deleting assistants with azure * feat: add model query to assistant avatar upload * feat: add azure support for retrieveRun method * refactor: update OpenAIClient initialization * chore: update README * fix(ci): tests passing * refactor(uploadOpenAIFile): improve logging and use more efficient REST API method * refactor(useFileHandling): add model to metadata to target Azure region compatible with current model * chore(files): add azure naming pattern for valid file id recognition * fix(assistants): initialize openai with first available assistant model if none provided * refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options * refactor(sleep): move sleep function out of Runs and into `~/server/utils` * fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled * refactor(uploadOpenAIFile): revert to old method * chore(uploadOpenAIFile): use enum for file purpose * docs: azureOpenAI update guide with more info, examples * feat: enable/disable assistant capabilities and specify retrieval models * refactor: optional chain conditional statement in loadConfigModels.js * docs: add assistants examples * chore: update librechat.example.yaml * docs(azure): update note of file upload behavior in Azure OpenAI Assistants * chore: update docs and add descriptive message about assistant errors * fix: prevent message submission with invalid assistant or if files loading * style: update Landing icon & text when assistant is not selected * chore: bump librechat-data-provider to 0.4.8 * fix(assistants/azure): assign req.body.model for proper azure init to abort runs
2024-03-14 17:21:42 -04:00
azureOptions: {},
});
expect(url).toBe('https://example.com//');
});
🅰️ feat: Azure OpenAI Assistants API Support (#1992) * chore: rename dir from `assistant` to plural * feat: `assistants` field for azure config, spread options in AppService * refactor: rename constructAzureURL param for azure as `azureOptions` * chore: bump openai and bun * chore(loadDefaultModels): change naming of assistant -> assistants * feat: load azure settings with currect baseURL for assistants' initializeClient * refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig * feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled * feat(AppService): determine assistant models on startup, throw Error if none * refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations * feat: support listing and deleting assistants with azure * feat: add model query to assistant avatar upload * feat: add azure support for retrieveRun method * refactor: update OpenAIClient initialization * chore: update README * fix(ci): tests passing * refactor(uploadOpenAIFile): improve logging and use more efficient REST API method * refactor(useFileHandling): add model to metadata to target Azure region compatible with current model * chore(files): add azure naming pattern for valid file id recognition * fix(assistants): initialize openai with first available assistant model if none provided * refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options * refactor(sleep): move sleep function out of Runs and into `~/server/utils` * fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled * refactor(uploadOpenAIFile): revert to old method * chore(uploadOpenAIFile): use enum for file purpose * docs: azureOpenAI update guide with more info, examples * feat: enable/disable assistant capabilities and specify retrieval models * refactor: optional chain conditional statement in loadConfigModels.js * docs: add assistants examples * chore: update librechat.example.yaml * docs(azure): update note of file upload behavior in Azure OpenAI Assistants * chore: update docs and add descriptive message about assistant errors * fix: prevent message submission with invalid assistant or if files loading * style: update Landing icon & text when assistant is not selected * chore: bump librechat-data-provider to 0.4.8 * fix(assistants/azure): assign req.body.model for proper azure init to abort runs
2024-03-14 17:21:42 -04:00
test('returns baseURL as is when `azureOptions` object is not provided', () => {
const url = constructAzureURL({
baseURL: 'https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}',
});
expect(url).toBe('https://example.com/${INSTANCE_NAME}/${DEPLOYMENT_NAME}');
});
test('returns baseURL as is when no placeholders are set', () => {
const url = constructAzureURL({
baseURL: 'https://example.com/my_custom_instance/my_deployment',
🅰️ feat: Azure OpenAI Assistants API Support (#1992) * chore: rename dir from `assistant` to plural * feat: `assistants` field for azure config, spread options in AppService * refactor: rename constructAzureURL param for azure as `azureOptions` * chore: bump openai and bun * chore(loadDefaultModels): change naming of assistant -> assistants * feat: load azure settings with currect baseURL for assistants' initializeClient * refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig * feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled * feat(AppService): determine assistant models on startup, throw Error if none * refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations * feat: support listing and deleting assistants with azure * feat: add model query to assistant avatar upload * feat: add azure support for retrieveRun method * refactor: update OpenAIClient initialization * chore: update README * fix(ci): tests passing * refactor(uploadOpenAIFile): improve logging and use more efficient REST API method * refactor(useFileHandling): add model to metadata to target Azure region compatible with current model * chore(files): add azure naming pattern for valid file id recognition * fix(assistants): initialize openai with first available assistant model if none provided * refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options * refactor(sleep): move sleep function out of Runs and into `~/server/utils` * fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled * refactor(uploadOpenAIFile): revert to old method * chore(uploadOpenAIFile): use enum for file purpose * docs: azureOpenAI update guide with more info, examples * feat: enable/disable assistant capabilities and specify retrieval models * refactor: optional chain conditional statement in loadConfigModels.js * docs: add assistants examples * chore: update librechat.example.yaml * docs(azure): update note of file upload behavior in Azure OpenAI Assistants * chore: update docs and add descriptive message about assistant errors * fix: prevent message submission with invalid assistant or if files loading * style: update Landing icon & text when assistant is not selected * chore: bump librechat-data-provider to 0.4.8 * fix(assistants/azure): assign req.body.model for proper azure init to abort runs
2024-03-14 17:21:42 -04:00
azureOptions: {
azureOpenAIApiInstanceName: 'instance1',
azureOpenAIApiDeploymentName: 'deployment1',
},
});
expect(url).toBe('https://example.com/my_custom_instance/my_deployment');
});
test('returns regular Azure OpenAI baseURL with placeholders set', () => {
const baseURL =
'https://${INSTANCE_NAME}.openai.azure.com/openai/deployments/${DEPLOYMENT_NAME}';
const url = constructAzureURL({
baseURL,
🅰️ feat: Azure OpenAI Assistants API Support (#1992) * chore: rename dir from `assistant` to plural * feat: `assistants` field for azure config, spread options in AppService * refactor: rename constructAzureURL param for azure as `azureOptions` * chore: bump openai and bun * chore(loadDefaultModels): change naming of assistant -> assistants * feat: load azure settings with currect baseURL for assistants' initializeClient * refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig * feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled * feat(AppService): determine assistant models on startup, throw Error if none * refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations * feat: support listing and deleting assistants with azure * feat: add model query to assistant avatar upload * feat: add azure support for retrieveRun method * refactor: update OpenAIClient initialization * chore: update README * fix(ci): tests passing * refactor(uploadOpenAIFile): improve logging and use more efficient REST API method * refactor(useFileHandling): add model to metadata to target Azure region compatible with current model * chore(files): add azure naming pattern for valid file id recognition * fix(assistants): initialize openai with first available assistant model if none provided * refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options * refactor(sleep): move sleep function out of Runs and into `~/server/utils` * fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled * refactor(uploadOpenAIFile): revert to old method * chore(uploadOpenAIFile): use enum for file purpose * docs: azureOpenAI update guide with more info, examples * feat: enable/disable assistant capabilities and specify retrieval models * refactor: optional chain conditional statement in loadConfigModels.js * docs: add assistants examples * chore: update librechat.example.yaml * docs(azure): update note of file upload behavior in Azure OpenAI Assistants * chore: update docs and add descriptive message about assistant errors * fix: prevent message submission with invalid assistant or if files loading * style: update Landing icon & text when assistant is not selected * chore: bump librechat-data-provider to 0.4.8 * fix(assistants/azure): assign req.body.model for proper azure init to abort runs
2024-03-14 17:21:42 -04:00
azureOptions: {
azureOpenAIApiInstanceName: 'instance1',
azureOpenAIApiDeploymentName: 'deployment1',
},
});
expect(url).toBe('https://instance1.openai.azure.com/openai/deployments/deployment1');
});
});