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https://github.com/danny-avila/LibreChat.git
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* refactor: json schema tools with lazy loading - Added LocalToolExecutor class for lazy loading and caching of tools during execution. - Introduced ToolExecutionContext and ToolExecutor interfaces for better type management. - Created utility functions to generate tool proxies with JSON schema support. - Added ExtendedJsonSchema type for enhanced schema definitions. - Updated existing toolkits to utilize the new schema and executor functionalities. - Introduced a comprehensive tool definitions registry for managing various tool schemas. chore: update @librechat/agents to version 3.1.2 refactor: enhance tool loading optimization and classification - Improved the loadAgentToolsOptimized function to utilize a proxy pattern for all tools, enabling deferred execution and reducing overhead. - Introduced caching for tool instances and refined tool classification logic to streamline tool management. - Updated the handling of MCP tools to improve logging and error reporting for missing tools in the cache. - Enhanced the structure of tool definitions to support better classification and integration with existing tools. refactor: modularize tool loading and enhance optimization - Moved the loadAgentToolsOptimized function to a new service file for better organization and maintainability. - Updated the ToolService to utilize the new service for optimized tool loading, improving code clarity. - Removed legacy tool loading methods and streamlined the tool loading process to enhance performance and reduce complexity. - Introduced feature flag handling for optimized tool loading, allowing for easier toggling of this functionality. refactor: replace loadAgentToolsWithFlag with loadAgentTools in tool loader refactor: enhance MCP tool loading with proxy creation and classification refactor: optimize MCP tool loading by grouping tools by server - Introduced a Map to group cached tools by server name, improving the organization of tool data. - Updated the createMCPProxyTool function to accept server name directly, enhancing clarity. - Refactored the logic for handling MCP tools, streamlining the process of creating proxy tools for classification. refactor: enhance MCP tool loading and proxy creation - Added functionality to retrieve MCP server tools and reinitialize servers if necessary, improving tool availability. - Updated the tool loading logic to utilize a Map for organizing tools by server, enhancing clarity and performance. - Refactored the createToolProxy function to ensure a default response format, streamlining tool creation. refactor: update createToolProxy to ensure consistent response format - Modified the createToolProxy function to await the executor's execution and validate the result format. - Ensured that the function returns a default response structure when the result is not an array of two elements, enhancing reliability in tool proxy creation. refactor: ToolExecutionContext with toolCall property - Added toolCall property to ToolExecutionContext interface for improved context handling during tool execution. - Updated LocalToolExecutor to include toolCall in the runnable configuration, allowing for more flexible tool invocation. - Modified createToolProxy to pass toolCall from the configuration, ensuring consistent context across tool executions. refactor: enhance event-driven tool execution and logging - Introduced ToolExecuteOptions for improved handling of event-driven tool execution, allowing for parallel execution of tool calls. - Updated getDefaultHandlers to include support for ON_TOOL_EXECUTE events, enhancing the flexibility of tool invocation. - Added detailed logging in LocalToolExecutor to track tool loading and execution metrics, improving observability and debugging capabilities. - Refactored initializeClient to integrate event-driven tool loading, ensuring compatibility with the new execution model. chore: update @librechat/agents to version 3.1.21 refactor: remove legacy tool loading and executor components - Eliminated the loadAgentToolsWithFlag function, simplifying the tool loading process by directly using loadAgentTools. - Removed the LocalToolExecutor and related executor components to streamline the tool execution architecture. - Updated ToolService and related files to reflect the removal of deprecated features, enhancing code clarity and maintainability. refactor: enhance tool classification and definitions handling - Updated the loadAgentTools function to return toolDefinitions alongside toolRegistry, improving the structure of tool data returned to clients. - Removed the convertRegistryToDefinitions function from the initialize.js file, simplifying the initialization process. - Adjusted the buildToolClassification function to ensure toolDefinitions are built and returned simultaneously with the toolRegistry, enhancing efficiency in tool management. - Updated type definitions in initialize.ts to include toolDefinitions, ensuring consistency across the codebase. refactor: implement event-driven tool execution handler - Introduced createToolExecuteHandler function to streamline the handling of ON_TOOL_EXECUTE events, allowing for parallel execution of tool calls. - Updated getDefaultHandlers to utilize the new handler, simplifying the event-driven architecture. - Added handlers.ts file to encapsulate tool execution logic, improving code organization and maintainability. - Enhanced OpenAI handlers to integrate the new tool execution capabilities, ensuring consistent event handling across the application. refactor: integrate event-driven tool execution options - Added toolExecuteOptions to support event-driven tool execution in OpenAI and responses controllers, enhancing flexibility in tool handling. - Updated handlers to utilize createToolExecuteHandler, allowing for streamlined execution of tools during agent interactions. - Refactored service dependencies to include toolExecuteOptions, ensuring consistent integration across the application. refactor: enhance tool loading with definitionsOnly parameter - Updated createToolLoader and loadAgentTools functions to include a definitionsOnly parameter, allowing for the retrieval of only serializable tool definitions in event-driven mode. - Adjusted related interfaces and documentation to reflect the new parameter, improving clarity and flexibility in tool management. - Ensured compatibility across various components by integrating the definitionsOnly option in the initialization process. refactor: improve agent tool presence check in initialization - Added a check for tool presence using a new hasAgentTools variable, which evaluates both structuredTools and toolDefinitions. - Updated the conditional logic in the agent initialization process to utilize the hasAgentTools variable, enhancing clarity and maintainability in tool management. refactor: enhance agent tool extraction to support tool definitions - Updated the extractMCPServers function to handle both tool instances and serializable tool definitions, improving flexibility in agent tool management. - Added a new property toolDefinitions to the AgentWithTools type for better integration of event-driven mode. - Enhanced documentation to clarify the function's capabilities in extracting unique MCP server names from both tools and tool definitions. refactor: enhance tool classification and registry building - Added serverName property to ToolDefinition for improved tool identification. - Introduced buildToolRegistry function to streamline the creation of tool registries based on MCP tool definitions and agent options. - Updated buildToolClassification to utilize the new registry building logic, ensuring basic definitions are returned even when advanced classification features are not allowed. - Enhanced documentation and logging for clarity in tool classification processes. refactor: update @librechat/agents dependency to version 3.1.22 fix: expose loadTools function in ToolService - Added loadTools function to the exported module in ToolService.js, enhancing the accessibility of tool loading functionality. chore: remove configurable options from tool execute options in OpenAI controller refactor: enhance tool loading mechanism to utilize agent-specific context chore: update @librechat/agents dependency to version 3.1.23 fix: simplify result handling in createToolExecuteHandler * refactor: loadToolDefinitions for efficient tool loading in event-driven mode * refactor: replace legacy tool loading with loadToolsForExecution in OpenAI and responses controllers - Updated OpenAIChatCompletionController and createResponse functions to utilize loadToolsForExecution for improved tool loading. - Removed deprecated loadToolsLegacy references, streamlining the tool execution process. - Enhanced tool loading options to include agent-specific context and configurations. * refactor: enhance tool loading and execution handling - Introduced loadActionToolsForExecution function to streamline loading of action tools, improving organization and maintainability. - Updated loadToolsForExecution to handle both regular and action tools, optimizing the tool loading process. - Added detailed logging for missing tools in createToolExecuteHandler, enhancing error visibility. - Refactored tool definitions to normalize action tool names, improving consistency in tool management. * refactor: enhance built-in tool definitions loading - Updated loadToolDefinitions to include descriptions and parameters from the tool registry for built-in tools, improving the clarity and usability of tool definitions. - Integrated getToolDefinition to streamline the retrieval of tool metadata, enhancing the overall tool management process. * feat: add action tool definitions loading to tool service - Introduced getActionToolDefinitions function to load action tool definitions based on agent ID and tool names, enhancing the tool loading process. - Updated loadToolDefinitions to integrate action tool definitions, allowing for better management and retrieval of action-specific tools. - Added comprehensive tests for action tool definitions to ensure correct loading and parameter handling, improving overall reliability and functionality. * chore: update @librechat/agents dependency to version 3.1.26 * refactor: add toolEndCallback to handle tool execution results * fix: tool definitions and execution handling - Introduced native tools (execute_code, file_search, web_search) to the tool service, allowing for better integration and management of these tools. - Updated isBuiltInTool function to include native tools in the built-in check, improving tool recognition. - Added comprehensive tests for loading parameters of native tools, ensuring correct functionality and parameter handling. - Enhanced tool definitions registry to include new agent tool definitions, streamlining tool retrieval and management. * refactor: enhance tool loading and execution context - Added toolRegistry to the context for OpenAIChatCompletionController and createResponse functions, improving tool management. - Updated loadToolsForExecution to utilize toolRegistry for better integration of programmatic tools and tool search functionalities. - Enhanced the initialization process to include toolRegistry in agent context, streamlining tool access and configuration. - Refactored tool classification logic to support event-driven execution, ensuring compatibility with new tool definitions. * chore: add request duration logging to OpenAI and Responses controllers - Introduced logging for request start and completion times in OpenAIChatCompletionController and createResponse functions. - Calculated and logged the duration of each request, enhancing observability and performance tracking. - Improved debugging capabilities by providing detailed logs for both streaming and non-streaming responses. * chore: update @librechat/agents dependency to version 3.1.27 * refactor: implement buildToolSet function for tool management - Introduced buildToolSet function to streamline the creation of tool sets from agent configurations, enhancing tool management across various controllers. - Updated AgentClient, OpenAIChatCompletionController, and createResponse functions to utilize buildToolSet, improving consistency in tool handling. - Added comprehensive tests for buildToolSet to ensure correct functionality and edge case handling, enhancing overall reliability. * refactor: update import paths for ToolExecuteOptions and createToolExecuteHandler * fix: update GoogleSearch.js description for maximum search results - Changed the default maximum number of search results from 10 to 5 in the Google Search JSON schema description, ensuring accurate documentation of the expected behavior. * chore: remove deprecated Browser tool and associated assets - Deleted the Browser tool definition from manifest.json, which included its name, plugin key, description, and authentication configuration. - Removed the web-browser.svg asset as it is no longer needed following the removal of the Browser tool. * fix: ensure tool definitions are valid before processing - Added a check to verify the existence of tool definitions in the registry before accessing their properties, preventing potential runtime errors. - Updated the loading logic for built-in tool definitions to ensure that only valid definitions are pushed to the built-in tool definitions array. * fix: extend ExtendedJsonSchema to support 'null' type and nullable enums - Updated the ExtendedJsonSchema type to include 'null' as a valid type option. - Modified the enum property to accept an array of values that can include strings, numbers, booleans, and null, enhancing schema flexibility. * test: add comprehensive tests for tool definitions loading and registry behavior - Implemented tests to verify the handling of built-in tools without registry definitions, ensuring they are skipped correctly. - Added tests to confirm that built-in tools include descriptions and parameters in the registry. - Enhanced tests for action tools, checking for proper inclusion of metadata and handling of tools without parameters in the registry. * test: add tests for mixed-type and number enum schema handling - Introduced tests to validate the parsing of mixed-type enum values, including strings, numbers, booleans, and null. - Added tests for number enum schema values to ensure correct parsing of numeric inputs, enhancing schema validation coverage. * fix: update mock implementation for @librechat/agents - Changed the mock for @librechat/agents to spread the actual module's properties, ensuring that all necessary functionalities are preserved in tests. - This adjustment enhances the accuracy of the tests by reflecting the real structure of the module. * fix: change max_results type in GoogleSearch schema from number to integer - Updated the type of max_results in the Google Search JSON schema to 'integer' for better type accuracy and validation consistency. * fix: update max_results description and type in GoogleSearch schema - Changed the type of max_results from 'number' to 'integer' for improved type accuracy. - Updated the description to reflect the new default maximum number of search results, changing it from 10 to 5. * refactor: remove unused code and improve tool registry handling - Eliminated outdated comments and conditional logic related to event-driven mode in the ToolService. - Enhanced the handling of the tool registry by ensuring it is configurable for better integration during tool execution. * feat: add definitionsOnly option to buildToolClassification for event-driven mode - Introduced a new parameter, definitionsOnly, to the BuildToolClassificationParams interface to enable a mode that skips tool instance creation. - Updated the buildToolClassification function to conditionally add tool definitions without instantiating tools when definitionsOnly is true. - Modified the loadToolDefinitions function to pass definitionsOnly as true, ensuring compatibility with the new feature. * test: add unit tests for buildToolClassification with definitionsOnly option - Implemented tests to verify the behavior of buildToolClassification when definitionsOnly is set to true or false. - Ensured that tool instances are not created when definitionsOnly is true, while still adding necessary tool definitions. - Confirmed that loadAuthValues is called appropriately based on the definitionsOnly parameter, enhancing test coverage for this new feature.
412 lines
12 KiB
JavaScript
412 lines
12 KiB
JavaScript
const { logger } = require('@librechat/data-schemas');
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const { createContentAggregator } = require('@librechat/agents');
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const {
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initializeAgent,
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validateAgentModel,
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createEdgeCollector,
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filterOrphanedEdges,
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GenerationJobManager,
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getCustomEndpointConfig,
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createSequentialChainEdges,
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} = require('@librechat/api');
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const {
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EModelEndpoint,
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isAgentsEndpoint,
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getResponseSender,
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isEphemeralAgentId,
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} = require('librechat-data-provider');
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const {
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createToolEndCallback,
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getDefaultHandlers,
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} = require('~/server/controllers/agents/callbacks');
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const { loadAgentTools, loadToolsForExecution } = require('~/server/services/ToolService');
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const { getModelsConfig } = require('~/server/controllers/ModelController');
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const AgentClient = require('~/server/controllers/agents/client');
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const { getConvoFiles } = require('~/models/Conversation');
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const { processAddedConvo } = require('./addedConvo');
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const { getAgent } = require('~/models/Agent');
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const { logViolation } = require('~/cache');
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const db = require('~/models');
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/**
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* Creates a tool loader function for the agent.
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* @param {AbortSignal} signal - The abort signal
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* @param {string | null} [streamId] - The stream ID for resumable mode
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* @param {boolean} [definitionsOnly=false] - When true, returns only serializable
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* tool definitions without creating full tool instances (for event-driven mode)
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*/
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function createToolLoader(signal, streamId = null, definitionsOnly = false) {
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/**
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* @param {object} params
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* @param {ServerRequest} params.req
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* @param {ServerResponse} params.res
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* @param {string} params.agentId
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* @param {string[]} params.tools
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* @param {string} params.provider
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* @param {string} params.model
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* @param {AgentToolResources} params.tool_resources
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* @returns {Promise<{
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* tools?: StructuredTool[],
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* toolContextMap: Record<string, unknown>,
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* toolDefinitions?: import('@librechat/agents').LCTool[],
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* userMCPAuthMap?: Record<string, Record<string, string>>,
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* toolRegistry?: import('@librechat/agents').LCToolRegistry
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* } | undefined>}
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*/
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return async function loadTools({
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req,
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res,
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tools,
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model,
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agentId,
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provider,
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tool_options,
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tool_resources,
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}) {
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const agent = { id: agentId, tools, provider, model, tool_options };
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try {
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return await loadAgentTools({
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req,
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res,
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agent,
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signal,
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streamId,
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tool_resources,
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definitionsOnly,
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});
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} catch (error) {
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logger.error('Error loading tools for agent ' + agentId, error);
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}
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};
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}
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const initializeClient = async ({ req, res, signal, endpointOption }) => {
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if (!endpointOption) {
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throw new Error('Endpoint option not provided');
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}
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const appConfig = req.config;
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/** @type {string | null} */
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const streamId = req._resumableStreamId || null;
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/** @type {Array<UsageMetadata>} */
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const collectedUsage = [];
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/** @type {ArtifactPromises} */
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const artifactPromises = [];
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const { contentParts, aggregateContent } = createContentAggregator();
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const toolEndCallback = createToolEndCallback({ req, res, artifactPromises, streamId });
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/**
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* Agent context store - populated after initialization, accessed by callback via closure.
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* Maps agentId -> { userMCPAuthMap, agent, tool_resources, toolRegistry, openAIApiKey }
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* @type {Map<string, {
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* userMCPAuthMap?: Record<string, Record<string, string>>,
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* agent?: object,
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* tool_resources?: object,
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* toolRegistry?: import('@librechat/agents').LCToolRegistry,
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* openAIApiKey?: string
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* }>}
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*/
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const agentToolContexts = new Map();
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const toolExecuteOptions = {
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loadTools: async (toolNames, agentId) => {
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const ctx = agentToolContexts.get(agentId) ?? {};
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logger.debug(`[ON_TOOL_EXECUTE] ctx found: ${!!ctx.userMCPAuthMap}, agent: ${ctx.agent?.id}`);
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const result = await loadToolsForExecution({
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req,
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res,
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signal,
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streamId,
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toolNames,
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agent: ctx.agent,
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toolRegistry: ctx.toolRegistry,
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userMCPAuthMap: ctx.userMCPAuthMap,
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tool_resources: ctx.tool_resources,
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});
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logger.debug(`[ON_TOOL_EXECUTE] loaded ${result.loadedTools?.length ?? 0} tools`);
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return result;
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},
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toolEndCallback,
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};
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const eventHandlers = getDefaultHandlers({
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res,
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toolExecuteOptions,
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aggregateContent,
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toolEndCallback,
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collectedUsage,
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streamId,
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});
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if (!endpointOption.agent) {
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throw new Error('No agent promise provided');
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}
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const primaryAgent = await endpointOption.agent;
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delete endpointOption.agent;
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if (!primaryAgent) {
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throw new Error('Agent not found');
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}
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const modelsConfig = await getModelsConfig(req);
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const validationResult = await validateAgentModel({
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req,
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res,
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modelsConfig,
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logViolation,
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agent: primaryAgent,
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});
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if (!validationResult.isValid) {
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throw new Error(validationResult.error?.message);
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}
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const agentConfigs = new Map();
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const allowedProviders = new Set(appConfig?.endpoints?.[EModelEndpoint.agents]?.allowedProviders);
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/** Event-driven mode: only load tool definitions, not full instances */
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const loadTools = createToolLoader(signal, streamId, true);
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/** @type {Array<MongoFile>} */
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const requestFiles = req.body.files ?? [];
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/** @type {string} */
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const conversationId = req.body.conversationId;
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/** @type {string | undefined} */
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const parentMessageId = req.body.parentMessageId;
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const primaryConfig = await initializeAgent(
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{
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req,
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res,
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loadTools,
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requestFiles,
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conversationId,
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parentMessageId,
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agent: primaryAgent,
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endpointOption,
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allowedProviders,
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isInitialAgent: true,
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},
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{
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getConvoFiles,
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getFiles: db.getFiles,
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getUserKey: db.getUserKey,
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getMessages: db.getMessages,
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updateFilesUsage: db.updateFilesUsage,
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getUserKeyValues: db.getUserKeyValues,
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getUserCodeFiles: db.getUserCodeFiles,
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getToolFilesByIds: db.getToolFilesByIds,
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getCodeGeneratedFiles: db.getCodeGeneratedFiles,
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},
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);
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logger.debug(
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`[initializeClient] Tool definitions for primary agent: ${primaryConfig.toolDefinitions?.length ?? 0}`,
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);
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/** Store primary agent's tool context for ON_TOOL_EXECUTE callback */
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logger.debug(`[initializeClient] Storing tool context for agentId: ${primaryConfig.id}`);
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agentToolContexts.set(primaryConfig.id, {
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agent: primaryAgent,
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toolRegistry: primaryConfig.toolRegistry,
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userMCPAuthMap: primaryConfig.userMCPAuthMap,
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tool_resources: primaryConfig.tool_resources,
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});
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const agent_ids = primaryConfig.agent_ids;
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let userMCPAuthMap = primaryConfig.userMCPAuthMap;
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/** @type {Set<string>} Track agents that failed to load (orphaned references) */
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const skippedAgentIds = new Set();
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async function processAgent(agentId) {
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const agent = await getAgent({ id: agentId });
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if (!agent) {
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logger.warn(
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`[processAgent] Handoff agent ${agentId} not found, skipping (orphaned reference)`,
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);
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skippedAgentIds.add(agentId);
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return null;
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}
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const validationResult = await validateAgentModel({
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req,
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res,
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agent,
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modelsConfig,
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logViolation,
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});
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if (!validationResult.isValid) {
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throw new Error(validationResult.error?.message);
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}
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const config = await initializeAgent(
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{
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req,
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res,
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agent,
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loadTools,
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requestFiles,
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conversationId,
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parentMessageId,
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endpointOption,
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allowedProviders,
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},
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{
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getConvoFiles,
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getFiles: db.getFiles,
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getUserKey: db.getUserKey,
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getMessages: db.getMessages,
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updateFilesUsage: db.updateFilesUsage,
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getUserKeyValues: db.getUserKeyValues,
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getUserCodeFiles: db.getUserCodeFiles,
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getToolFilesByIds: db.getToolFilesByIds,
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getCodeGeneratedFiles: db.getCodeGeneratedFiles,
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},
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);
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if (userMCPAuthMap != null) {
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Object.assign(userMCPAuthMap, config.userMCPAuthMap ?? {});
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} else {
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userMCPAuthMap = config.userMCPAuthMap;
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}
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/** Store handoff agent's tool context for ON_TOOL_EXECUTE callback */
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agentToolContexts.set(agentId, {
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agent,
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toolRegistry: config.toolRegistry,
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userMCPAuthMap: config.userMCPAuthMap,
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tool_resources: config.tool_resources,
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});
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agentConfigs.set(agentId, config);
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return agent;
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}
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const checkAgentInit = (agentId) => agentId === primaryConfig.id || agentConfigs.has(agentId);
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// Graph topology discovery for recursive agent handoffs (BFS)
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const { edgeMap, agentsToProcess, collectEdges } = createEdgeCollector(
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checkAgentInit,
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skippedAgentIds,
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);
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// Seed with primary agent's edges
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collectEdges(primaryConfig.edges);
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// BFS to load and merge all connected agents (enables transitive handoffs: A->B->C)
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while (agentsToProcess.size > 0) {
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const agentId = agentsToProcess.values().next().value;
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agentsToProcess.delete(agentId);
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try {
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const agent = await processAgent(agentId);
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if (agent?.edges?.length) {
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collectEdges(agent.edges);
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}
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} catch (err) {
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logger.error(`[initializeClient] Error processing agent ${agentId}:`, err);
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}
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}
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/** @deprecated Agent Chain */
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if (agent_ids?.length) {
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for (const agentId of agent_ids) {
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if (checkAgentInit(agentId)) {
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continue;
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}
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await processAgent(agentId);
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}
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const chain = await createSequentialChainEdges([primaryConfig.id].concat(agent_ids), '{convo}');
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collectEdges(chain);
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}
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let edges = Array.from(edgeMap.values());
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/** Multi-Convo: Process addedConvo for parallel agent execution */
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const { userMCPAuthMap: updatedMCPAuthMap } = await processAddedConvo({
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req,
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res,
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loadTools,
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logViolation,
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modelsConfig,
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requestFiles,
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agentConfigs,
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primaryAgent,
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endpointOption,
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userMCPAuthMap,
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conversationId,
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parentMessageId,
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allowedProviders,
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primaryAgentId: primaryConfig.id,
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});
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|
if (updatedMCPAuthMap) {
|
|
userMCPAuthMap = updatedMCPAuthMap;
|
|
}
|
|
|
|
// Ensure edges is an array when we have multiple agents (multi-agent mode)
|
|
// MultiAgentGraph.categorizeEdges requires edges to be iterable
|
|
if (agentConfigs.size > 0 && !edges) {
|
|
edges = [];
|
|
}
|
|
|
|
// Filter out edges referencing non-existent agents (orphaned references)
|
|
edges = filterOrphanedEdges(edges, skippedAgentIds);
|
|
|
|
primaryConfig.edges = edges;
|
|
|
|
let endpointConfig = appConfig.endpoints?.[primaryConfig.endpoint];
|
|
if (!isAgentsEndpoint(primaryConfig.endpoint) && !endpointConfig) {
|
|
try {
|
|
endpointConfig = getCustomEndpointConfig({
|
|
endpoint: primaryConfig.endpoint,
|
|
appConfig,
|
|
});
|
|
} catch (err) {
|
|
logger.error(
|
|
'[api/server/controllers/agents/client.js #titleConvo] Error getting custom endpoint config',
|
|
err,
|
|
);
|
|
}
|
|
}
|
|
|
|
const sender =
|
|
primaryAgent.name ??
|
|
getResponseSender({
|
|
...endpointOption,
|
|
model: endpointOption.model_parameters.model,
|
|
modelDisplayLabel: endpointConfig?.modelDisplayLabel,
|
|
modelLabel: endpointOption.model_parameters.modelLabel,
|
|
});
|
|
|
|
const client = new AgentClient({
|
|
req,
|
|
res,
|
|
sender,
|
|
contentParts,
|
|
agentConfigs,
|
|
eventHandlers,
|
|
collectedUsage,
|
|
aggregateContent,
|
|
artifactPromises,
|
|
agent: primaryConfig,
|
|
spec: endpointOption.spec,
|
|
iconURL: endpointOption.iconURL,
|
|
attachments: primaryConfig.attachments,
|
|
endpointType: endpointOption.endpointType,
|
|
resendFiles: primaryConfig.resendFiles ?? true,
|
|
maxContextTokens: primaryConfig.maxContextTokens,
|
|
endpoint: isEphemeralAgentId(primaryConfig.id) ? primaryConfig.endpoint : EModelEndpoint.agents,
|
|
});
|
|
|
|
if (streamId) {
|
|
GenerationJobManager.setCollectedUsage(streamId, collectedUsage);
|
|
}
|
|
|
|
return { client, userMCPAuthMap };
|
|
};
|
|
|
|
module.exports = { initializeClient };
|