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⏸ refactor: Improve UX for Parallel Streams (Multi-Convo) (#11096)
* 🌊 feat: Implement multi-conversation feature with added conversation context and payload adjustments
* refactor: Replace isSubmittingFamily with isSubmitting across message components for consistency
* feat: Add loadAddedAgent and processAddedConvo for multi-conversation agent execution
* refactor: Update ContentRender usage to conditionally render PlaceholderRow based on isLast and isSubmitting
* WIP: first pass, sibling index
* feat: Enhance multi-conversation support with agent tracking and display improvements
* refactor: Introduce isEphemeralAgentId utility and update related logic for agent handling
* refactor: Implement createDualMessageContent utility for sibling message display and enhance useStepHandler for added conversations
* refactor: duplicate tools for added agent if ephemeral and primary agent is also ephemeral
* chore: remove deprecated multimessage rendering
* refactor: enhance dual message content creation and agent handling for parallel rendering
* refactor: streamline message rendering and submission handling by removing unused state and optimizing conditional logic
* refactor: adjust content handling in parallel mode to utilize existing content for improved agent display
* refactor: update @librechat/agents dependency to version 3.0.53
* refactor: update @langchain/core and @librechat/agents dependencies to latest versions
* refactor: remove deprecated @langchain/core dependency from package.json
* chore: remove unused SearchToolConfig and GetSourcesParams types from web.ts
* refactor: remove unused message properties from Message component
* refactor: enhance parallel content handling with groupId support in ContentParts and useStepHandler
* refactor: implement parallel content styling in Message, MessageRender, and ContentRender components. use explicit model name
* refactor: improve agent ID handling in createDualMessageContent for dual message display
* refactor: simplify title generation in AddedConvo by removing unused sender and preset logic
* refactor: replace string interpolation with cn utility for className in HoverButtons component
* refactor: enhance agent ID handling by adding suffix management for parallel agents and updating related components
* refactor: enhance column ordering in ContentParts by sorting agents with suffix management
* refactor: update @librechat/agents dependency to version 3.0.55
* feat: implement parallel content rendering with metadata support
- Added `ParallelContentRenderer` and `ParallelColumns` components for rendering messages in parallel based on groupId and agentId.
- Introduced `contentMetadataMap` to store metadata for each content part, allowing efficient parallel content detection.
- Updated `Message` and `ContentRender` components to utilize the new metadata structure for rendering.
- Modified `useStepHandler` to manage content indices and metadata during message processing.
- Enhanced `IJobStore` interface and its implementations to support storing and retrieving content metadata.
- Updated data schemas to include `contentMetadataMap` for messages, enabling multi-agent and parallel execution scenarios.
* refactor: update @librechat/agents dependency to version 3.0.56
* refactor: remove unused EPHEMERAL_AGENT_ID constant and simplify agent ID check
* refactor: enhance multi-agent message processing and primary agent determination
* refactor: implement branch message functionality for parallel responses
* refactor: integrate added conversation retrieval into message editing and regeneration processes
* refactor: remove unused isCard and isMultiMessage props from MessageRender and ContentRender components
* refactor: update @librechat/agents dependency to version 3.0.60
* refactor: replace usage of EPHEMERAL_AGENT_ID constant with isEphemeralAgentId function for improved clarity and consistency
* refactor: standardize agent ID format in tests for consistency
* chore: move addedConvo property to the correct position in payload construction
* refactor: rename agent_id values in loadAgent tests for clarity
* chore: reorder props in ContentParts component for improved readability
* refactor: rename variable 'content' to 'result' for clarity in RedisJobStore tests
* refactor: streamline useMessageActions by removing duplicate handleFeedback assignment
* chore: revert placeholder rendering logic MessageRender and ContentRender components to original
* refactor: implement useContentMetadata hook for optimized content metadata handling
* refactor: remove contentMetadataMap and related logic from the codebase and revert back to agentId/groupId in content parts
- Eliminated contentMetadataMap from various components and services, simplifying the handling of message content.
- Updated functions to directly access agentId and groupId from content parts instead of relying on a separate metadata map.
- Adjusted related hooks and components to reflect the removal of contentMetadataMap, ensuring consistent handling of message content.
- Updated tests and documentation to align with the new structure of message content handling.
* refactor: remove logging from groupParallelContent function to clean up output
* refactor: remove model parameter from TBranchMessageRequest type for simplification
* refactor: enhance branch message creation by stripping metadata for standalone content
* chore: streamline branch message creation by simplifying content filtering and removing unnecessary metadata checks
* refactor: include attachments in branch message creation for improved content handling
* refactor: streamline agent content processing by consolidating primary agent identification and filtering logic
* refactor: simplify multi-agent message processing by creating a dedicated mapping method and enhancing content filtering
* refactor: remove unused parameter from loadEphemeralAgent function for cleaner code
* refactor: update groupId handling in metadata to only set when provided by the server
This commit is contained in:
parent
9b6e7cabc9
commit
439bc98682
74 changed files with 2174 additions and 957 deletions
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@ -37,14 +37,13 @@ const {
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EModelEndpoint,
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PermissionTypes,
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isAgentsEndpoint,
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AgentCapabilities,
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isEphemeralAgentId,
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bedrockInputSchema,
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removeNullishValues,
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} = require('librechat-data-provider');
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const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
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const { encodeAndFormat } = require('~/server/services/Files/images/encode');
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const { createContextHandlers } = require('~/app/clients/prompts');
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const { checkCapability } = require('~/server/services/Config');
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const { getConvoFiles } = require('~/models/Conversation');
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const BaseClient = require('~/app/clients/BaseClient');
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const { getRoleByName } = require('~/models/Role');
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@ -96,59 +95,101 @@ function logToolError(graph, error, toolId) {
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});
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}
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/** Regex pattern to match agent ID suffix (____N) */
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const AGENT_SUFFIX_PATTERN = /____(\d+)$/;
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/**
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* Applies agent labeling to conversation history when multi-agent patterns are detected.
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* Labels content parts by their originating agent to prevent identity confusion.
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* Creates a mapMethod for getMessagesForConversation that processes agent content.
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* - Strips agentId/groupId metadata from all content
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* - For multi-agent: filters to primary agent content only (no suffix or lowest suffix)
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* - For multi-agent: applies agent labels to content
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*
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* @param {TMessage[]} orderedMessages - The ordered conversation messages
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* @param {Agent} primaryAgent - The primary agent configuration
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* @param {Map<string, Agent>} agentConfigs - Map of additional agent configurations
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* @returns {TMessage[]} Messages with agent labels applied where appropriate
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* @param {Agent} primaryAgent - Primary agent configuration
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* @param {Map<string, Agent>} [agentConfigs] - Additional agent configurations
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* @returns {(message: TMessage) => TMessage} Map method for processing messages
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*/
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function applyAgentLabelsToHistory(orderedMessages, primaryAgent, agentConfigs) {
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const shouldLabelByAgent = (primaryAgent.edges?.length ?? 0) > 0 || (agentConfigs?.size ?? 0) > 0;
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if (!shouldLabelByAgent) {
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return orderedMessages;
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}
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const processedMessages = [];
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for (let i = 0; i < orderedMessages.length; i++) {
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const message = orderedMessages[i];
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/** @type {Record<string, string>} */
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const agentNames = { [primaryAgent.id]: primaryAgent.name || 'Assistant' };
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function createMultiAgentMapper(primaryAgent, agentConfigs) {
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const hasMultipleAgents = (primaryAgent.edges?.length ?? 0) > 0 || (agentConfigs?.size ?? 0) > 0;
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/** @type {Record<string, string> | null} */
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let agentNames = null;
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if (hasMultipleAgents) {
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agentNames = { [primaryAgent.id]: primaryAgent.name || 'Assistant' };
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if (agentConfigs) {
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for (const [agentId, agentConfig] of agentConfigs.entries()) {
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agentNames[agentId] = agentConfig.name || agentConfig.id;
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}
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}
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if (
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!message.isCreatedByUser &&
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message.metadata?.agentIdMap &&
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Array.isArray(message.content)
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) {
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try {
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const labeledContent = labelContentByAgent(
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message.content,
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message.metadata.agentIdMap,
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agentNames,
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);
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processedMessages.push({ ...message, content: labeledContent });
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} catch (error) {
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logger.error('[AgentClient] Error applying agent labels to message:', error);
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processedMessages.push(message);
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}
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} else {
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processedMessages.push(message);
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}
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}
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return processedMessages;
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return (message) => {
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if (message.isCreatedByUser || !Array.isArray(message.content)) {
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return message;
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}
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// Find primary agent ID (no suffix, or lowest suffix number) - only needed for multi-agent
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let primaryAgentId = null;
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let hasAgentMetadata = false;
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if (hasMultipleAgents) {
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let lowestSuffixIndex = Infinity;
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for (const part of message.content) {
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const agentId = part?.agentId;
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if (!agentId) {
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continue;
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}
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hasAgentMetadata = true;
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const suffixMatch = agentId.match(AGENT_SUFFIX_PATTERN);
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if (!suffixMatch) {
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primaryAgentId = agentId;
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break;
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}
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const suffixIndex = parseInt(suffixMatch[1], 10);
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if (suffixIndex < lowestSuffixIndex) {
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lowestSuffixIndex = suffixIndex;
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primaryAgentId = agentId;
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}
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}
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} else {
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// Single agent: just check if any metadata exists
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hasAgentMetadata = message.content.some((part) => part?.agentId || part?.groupId);
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}
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if (!hasAgentMetadata) {
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return message;
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}
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try {
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/** @type {Array<TMessageContentParts>} */
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const filteredContent = [];
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/** @type {Record<number, string>} */
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const agentIdMap = {};
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for (const part of message.content) {
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const agentId = part?.agentId;
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// For single agent: include all parts; for multi-agent: filter to primary
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if (!hasMultipleAgents || !agentId || agentId === primaryAgentId) {
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const newIndex = filteredContent.length;
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const { agentId: _a, groupId: _g, ...cleanPart } = part;
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filteredContent.push(cleanPart);
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if (agentId && hasMultipleAgents) {
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agentIdMap[newIndex] = agentId;
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}
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}
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}
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const finalContent =
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Object.keys(agentIdMap).length > 0 && agentNames
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? labelContentByAgent(filteredContent, agentIdMap, agentNames)
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: filteredContent;
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return { ...message, content: finalContent };
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} catch (error) {
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logger.error('[AgentClient] Error processing multi-agent message:', error);
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return message;
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}
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};
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}
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class AgentClient extends BaseClient {
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@ -200,8 +241,6 @@ class AgentClient extends BaseClient {
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this.indexTokenCountMap = {};
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/** @type {(messages: BaseMessage[]) => Promise<void>} */
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this.processMemory;
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/** @type {Record<number, string> | null} */
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this.agentIdMap = null;
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}
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/**
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@ -288,18 +327,13 @@ class AgentClient extends BaseClient {
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{ instructions = null, additional_instructions = null },
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opts,
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) {
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let orderedMessages = this.constructor.getMessagesForConversation({
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const orderedMessages = this.constructor.getMessagesForConversation({
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messages,
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parentMessageId,
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summary: this.shouldSummarize,
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mapMethod: createMultiAgentMapper(this.options.agent, this.agentConfigs),
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});
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orderedMessages = applyAgentLabelsToHistory(
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orderedMessages,
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this.options.agent,
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this.agentConfigs,
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);
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let payload;
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/** @type {number | undefined} */
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let promptTokens;
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@ -551,10 +585,9 @@ class AgentClient extends BaseClient {
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agent: prelimAgent,
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allowedProviders,
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endpointOption: {
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endpoint:
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prelimAgent.id !== Constants.EPHEMERAL_AGENT_ID
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? EModelEndpoint.agents
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: memoryConfig.agent?.provider,
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endpoint: !isEphemeralAgentId(prelimAgent.id)
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? EModelEndpoint.agents
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: memoryConfig.agent?.provider,
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},
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},
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{
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@ -693,9 +726,7 @@ class AgentClient extends BaseClient {
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});
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const completion = filterMalformedContentParts(this.contentParts);
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const metadata = this.agentIdMap ? { agentIdMap: this.agentIdMap } : undefined;
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return { completion, metadata };
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return { completion };
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}
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/**
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@ -891,12 +922,10 @@ class AgentClient extends BaseClient {
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*/
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const runAgents = async (messages) => {
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const agents = [this.options.agent];
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if (
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this.agentConfigs &&
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this.agentConfigs.size > 0 &&
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((this.options.agent.edges?.length ?? 0) > 0 ||
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(await checkCapability(this.options.req, AgentCapabilities.chain)))
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) {
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// Include additional agents when:
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// - agentConfigs has agents (from addedConvo parallel execution or agent handoffs)
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// - Agents without incoming edges become start nodes and run in parallel automatically
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if (this.agentConfigs && this.agentConfigs.size > 0) {
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agents.push(...this.agentConfigs.values());
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}
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@ -992,24 +1021,6 @@ class AgentClient extends BaseClient {
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);
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});
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}
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try {
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/** Capture agent ID map if we have edges or multiple agents */
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const shouldStoreAgentMap =
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(this.options.agent.edges?.length ?? 0) > 0 || (this.agentConfigs?.size ?? 0) > 0;
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if (shouldStoreAgentMap && run?.Graph) {
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const contentPartAgentMap = run.Graph.getContentPartAgentMap();
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if (contentPartAgentMap && contentPartAgentMap.size > 0) {
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this.agentIdMap = Object.fromEntries(contentPartAgentMap);
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logger.debug('[AgentClient] Captured agent ID map:', {
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totalParts: this.contentParts.length,
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mappedParts: Object.keys(this.agentIdMap).length,
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});
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}
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}
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} catch (error) {
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logger.error('[AgentClient] Error capturing agent ID map:', error);
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}
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} catch (err) {
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logger.error(
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'[api/server/controllers/agents/client.js #sendCompletion] Operation aborted',
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