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* fix: Tool Resources Dropped between Agent Handoffs * fix: agent deletion process to remove handoff edges - Added logic to the `deleteAgent` function to remove references to the deleted agent from other agents' handoff edges. - Implemented error handling to log any issues encountered during the edge removal process. - Introduced a new test case to verify that handoff edges are correctly removed when an agent is deleted, ensuring data integrity across agent relationships. * fix: Improve agent loading process by handling orphaned references - Added logic to track and log agents that fail to load during initialization, preventing errors from interrupting the process. - Introduced a Set to store skipped agent IDs and updated edge filtering to exclude these orphaned references, enhancing data integrity in agent relationships. * chore: Update @librechat/agents to version 3.0.62 * feat: Enhance agent initialization with edge collection and filtering - Introduced new functions for edge collection and filtering orphaned edges, improving the agent loading process. - Refactored the `initializeClient` function to utilize breadth-first search (BFS) for discovering connected agents, enabling transitive handoffs. - Added a new module for edge-related utilities, including deduplication and participant extraction, to streamline edge management. - Updated the agent configuration handling to ensure proper edge processing and integrity during initialization. * refactor: primary agent ID selection for multi-agent conversations - Added a new function `findPrimaryAgentId` to determine the primary agent ID from a set of agent IDs based on suffix rules. - Updated `createMultiAgentMapper` to filter messages by primary agent for parallel agents and handle handoffs appropriately. - Enhanced message processing logic to ensure correct inclusion of agent content based on group and agent ID presence. - Improved documentation to clarify the distinctions between parallel execution and handoff scenarios. * feat: Implement primary agent ID selection for multi-agent content filtering * chore: Update @librechat/agents to version 3.0.63 in package.json and package-lock.json * chore: Update @librechat/agents to version 3.0.64 in package.json and package-lock.json * chore: Update @librechat/agents to version 3.0.65 in package.json and package-lock.json * feat: Add optional agent name to run creation for improved identification * chore: Update @librechat/agents to version 3.0.66 in package.json and package-lock.json * test: Add unit tests for edge utilities including key generation, participant extraction, and orphaned edge filtering - Implemented tests for `getEdgeKey`, `getEdgeParticipants`, `filterOrphanedEdges`, and `createEdgeCollector` functions. - Ensured comprehensive coverage for various edge cases, including handling of arrays and default values. - Verified correct behavior of edge filtering based on skipped agents and deduplication of edges.
90 lines
2.7 KiB
TypeScript
90 lines
2.7 KiB
TypeScript
import type { GraphEdge } from 'librechat-data-provider';
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/**
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* Creates a stable key for edge deduplication.
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* Handles both single and array-based from/to values.
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*/
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export function getEdgeKey(edge: GraphEdge): string {
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const from = Array.isArray(edge.from) ? [...edge.from].sort().join('|') : edge.from;
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const to = Array.isArray(edge.to) ? [...edge.to].sort().join('|') : edge.to;
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const type = edge.edgeType ?? 'handoff';
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return `${from}=>${to}::${type}`;
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}
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/**
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* Extracts all agent IDs referenced in an edge (both from and to).
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*/
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export function getEdgeParticipants(edge: GraphEdge): string[] {
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const participants: string[] = [];
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if (Array.isArray(edge.from)) {
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participants.push(...edge.from);
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} else if (typeof edge.from === 'string') {
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participants.push(edge.from);
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}
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if (Array.isArray(edge.to)) {
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participants.push(...edge.to);
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} else if (typeof edge.to === 'string') {
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participants.push(edge.to);
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}
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return participants;
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}
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/**
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* Filters out edges that reference non-existent (orphaned) agents.
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* Only filters based on the 'to' field since those are the handoff targets.
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*/
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export function filterOrphanedEdges(edges: GraphEdge[], skippedAgentIds: Set<string>): GraphEdge[] {
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if (!edges || skippedAgentIds.size === 0) {
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return edges;
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}
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return edges.filter((edge) => {
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const toIds = Array.isArray(edge.to) ? edge.to : [edge.to];
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return !toIds.some((id) => typeof id === 'string' && skippedAgentIds.has(id));
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});
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}
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/**
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* Result of discovering and aggregating edges from connected agents.
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*/
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export interface EdgeDiscoveryResult {
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/** Deduplicated edges from all discovered agents */
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edges: GraphEdge[];
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/** Agent IDs that were not found (orphaned references) */
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skippedAgentIds: Set<string>;
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}
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/**
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* Collects and deduplicates edges, tracking new agents to process.
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* Used for BFS discovery of connected agents.
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*/
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export function createEdgeCollector(
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checkAgentInit: (agentId: string) => boolean,
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skippedAgentIds: Set<string>,
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): {
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edgeMap: Map<string, GraphEdge>;
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agentsToProcess: Set<string>;
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collectEdges: (edgeList: GraphEdge[] | undefined) => void;
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} {
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const edgeMap = new Map<string, GraphEdge>();
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const agentsToProcess = new Set<string>();
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const collectEdges = (edgeList: GraphEdge[] | undefined): void => {
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if (!edgeList || edgeList.length === 0) {
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return;
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}
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for (const edge of edgeList) {
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const key = getEdgeKey(edge);
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if (!edgeMap.has(key)) {
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edgeMap.set(key, edge);
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}
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const participants = getEdgeParticipants(edge);
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for (const id of participants) {
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if (!checkAgentInit(id) && !skippedAgentIds.has(id)) {
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agentsToProcess.add(id);
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}
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}
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}
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};
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return { edgeMap, agentsToProcess, collectEdges };
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}
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