LibreChat/packages/api/src/agents/run.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 { Run, Providers } from '@librechat/agents';
import { providerEndpointMap, KnownEndpoints } from 'librechat-data-provider';
import type { StandardGraphConfig, EventHandler, GraphEvents, IState } from '@librechat/agents';
import type { Agent } from 'librechat-data-provider';
import type * as t from '~/types';
const customProviders = new Set([
Providers.XAI,
Providers.OLLAMA,
Providers.DEEPSEEK,
Providers.OPENROUTER,
]);
/**
* Creates a new Run instance with custom handlers and configuration.
*
* @param options - The options for creating the Run instance.
* @param options.agent - The agent for this run.
* @param options.signal - The signal for this run.
* @param options.req - The server request.
* @param options.runId - Optional run ID; otherwise, a new run ID will be generated.
* @param options.customHandlers - Custom event handlers.
* @param options.streaming - Whether to use streaming.
* @param options.streamUsage - Whether to stream usage information.
* @returns {Promise<Run<IState>>} A promise that resolves to a new Run instance.
*/
export async function createRun({
runId,
agent,
signal,
customHandlers,
streaming = true,
streamUsage = true,
}: {
agent: Agent;
signal: AbortSignal;
runId?: string;
streaming?: boolean;
streamUsage?: boolean;
customHandlers?: Record<GraphEvents, EventHandler>;
}): Promise<Run<IState>> {
const provider =
providerEndpointMap[agent.provider as keyof typeof providerEndpointMap] ?? agent.provider;
const llmConfig: t.RunLLMConfig = Object.assign(
{
provider,
streaming,
streamUsage,
},
agent.model_parameters,
);
/** Resolves issues with new OpenAI usage field */
if (
customProviders.has(agent.provider) ||
(agent.provider === Providers.OPENAI && agent.endpoint !== agent.provider)
) {
llmConfig.streamUsage = false;
llmConfig.usage = true;
}
let reasoningKey: 'reasoning_content' | 'reasoning' | undefined;
if (
llmConfig.configuration?.baseURL?.includes(KnownEndpoints.openrouter) ||
(agent.endpoint && agent.endpoint.toLowerCase().includes(KnownEndpoints.openrouter))
) {
reasoningKey = 'reasoning';
}
const graphConfig: StandardGraphConfig = {
signal,
llmConfig,
reasoningKey,
tools: agent.tools,
instructions: agent.instructions,
additional_instructions: agent.additional_instructions,
// toolEnd: agent.end_after_tools,
};
// TEMPORARY FOR TESTING
if (agent.provider === Providers.ANTHROPIC || agent.provider === Providers.BEDROCK) {
graphConfig.streamBuffer = 2000;
}
return Run.create({
runId,
graphConfig,
customHandlers,
});
}