mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 06:00:56 +02:00

* 📝 chore: Add comment to clarify purpose of check_updates.sh script
* feat: mcp package
* feat: add librechat-mcp package and update dependencies
* feat: refactor MCPConnectionSingleton to handle transport initialization and connection management
* feat: change private methods to public in MCPConnectionSingleton for improved accessibility
* feat: filesystem demo
* chore: everything demo and move everything under mcp workspace
* chore: move ts-node to mcp workspace
* feat: mcp examples
* feat: working sse MCP example
* refactor: rename MCPConnectionSingleton to MCPConnection for clarity
* refactor: replace MCPConnectionSingleton with MCPConnection for consistency
* refactor: manager/connections
* refactor: update MCPConnection to use type definitions from mcp types
* refactor: update MCPManager to use winston logger and enhance server initialization
* refactor: share logger between connections and manager
* refactor: add schema definitions and update MCPManager to accept logger parameter
* feat: map available MCP tools
* feat: load manifest tools
* feat: add MCP tools delimiter constant and update plugin key generation
* feat: call MCP tools
* feat: update librechat-data-provider version to 0.7.63 and enhance StdioOptionsSchema with additional properties
* refactor: simplify typing
* chore: update types/packages
* feat: MCP Tool Content parsing
* chore: update dependencies and improve package configurations
* feat: add 'mcp' directory to package and update configurations
* refactor: return CONTENT_AND_ARTIFACT format for MCP callTool
* chore: bump @librechat/agents
* WIP: MCP artifacts
* chore: bump @librechat/agents to v1.8.7
* fix: ensure filename has extension when saving base64 image
* fix: move base64 buffer conversion before filename extension check
* chore: update backend review workflow to install MCP package
* fix: use correct `mime` method
* fix: enhance file metadata with message and tool call IDs in image saving process
* fix: refactor ToolCall component to handle MCP tool calls and improve domain extraction
* fix: update ToolItem component for default isInstalled value and improve localization in ToolSelectDialog
* fix: update ToolItem component to use consistent text color for tool description
* style: add theming to ToolSelectDialog
* fix: improve domain extraction logic in ToolCall component
* refactor: conversation item theming, fix rename UI bug, optimize props, add missing types
* feat: enhance MCP options schema with base options (iconPath to start) and make transport type optional, infer based on other option fields
* fix: improve reconnection logic with parallel init and exponential backoff and enhance transport debug logging
* refactor: improve logging format
* refactor: improve logging of available tools by displaying tool names
* refactor: improve reconnection/connection logic
* feat: add MCP package build process to Dockerfile
* feat: add fallback icon for tools without an image in ToolItem component
* feat: Assistants Support for MCP Tools
* fix(build): configure rollup to use output.dir for dynamic imports
* chore: update @librechat/agents to version 1.8.8 and add @langchain/anthropic dependency
* fix: update CONFIG_VERSION to 1.2.0
317 lines
10 KiB
JavaScript
317 lines
10 KiB
JavaScript
const { Tools, StepTypes, imageGenTools, FileContext } = require('librechat-data-provider');
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const {
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EnvVar,
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GraphEvents,
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ToolEndHandler,
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ChatModelStreamHandler,
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} = require('@librechat/agents');
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const { processCodeOutput } = require('~/server/services/Files/Code/process');
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const { saveBase64Image } = require('~/server/services/Files/process');
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const { loadAuthValues } = require('~/app/clients/tools/util');
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const { logger } = require('~/config');
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/** @typedef {import('@librechat/agents').Graph} Graph */
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/** @typedef {import('@librechat/agents').EventHandler} EventHandler */
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/** @typedef {import('@librechat/agents').ModelEndData} ModelEndData */
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/** @typedef {import('@librechat/agents').ToolEndData} ToolEndData */
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/** @typedef {import('@librechat/agents').ToolEndCallback} ToolEndCallback */
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/** @typedef {import('@librechat/agents').ChatModelStreamHandler} ChatModelStreamHandler */
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/** @typedef {import('@librechat/agents').ContentAggregatorResult['aggregateContent']} ContentAggregator */
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/** @typedef {import('@librechat/agents').GraphEvents} GraphEvents */
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/**
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* Sends message data in Server Sent Events format.
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* @param {ServerResponse} res - The server response.
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* @param {{ data: string | Record<string, unknown>, event?: string }} event - The message event.
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* @param {string} event.event - The type of event.
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* @param {string} event.data - The message to be sent.
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*/
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const sendEvent = (res, event) => {
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if (typeof event.data === 'string' && event.data.length === 0) {
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return;
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}
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res.write(`event: message\ndata: ${JSON.stringify(event)}\n\n`);
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};
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class ModelEndHandler {
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/**
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* @param {Array<UsageMetadata>} collectedUsage
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*/
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constructor(collectedUsage) {
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if (!Array.isArray(collectedUsage)) {
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throw new Error('collectedUsage must be an array');
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}
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this.collectedUsage = collectedUsage;
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}
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/**
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* @param {string} event
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* @param {ModelEndData | undefined} data
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* @param {Record<string, unknown> | undefined} metadata
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* @param {Graph} graph
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* @returns
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*/
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handle(event, data, metadata, graph) {
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if (!graph || !metadata) {
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console.warn(`Graph or metadata not found in ${event} event`);
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return;
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}
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const usage = data?.output?.usage_metadata;
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if (metadata?.model) {
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usage.model = metadata.model;
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}
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if (usage) {
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this.collectedUsage.push(usage);
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}
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}
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}
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/**
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* Get default handlers for stream events.
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* @param {Object} options - The options object.
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* @param {ServerResponse} options.res - The options object.
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* @param {ContentAggregator} options.aggregateContent - The options object.
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* @param {ToolEndCallback} options.toolEndCallback - Callback to use when tool ends.
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* @param {Array<UsageMetadata>} options.collectedUsage - The list of collected usage metadata.
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* @returns {Record<string, t.EventHandler>} The default handlers.
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* @throws {Error} If the request is not found.
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*/
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function getDefaultHandlers({ res, aggregateContent, toolEndCallback, collectedUsage }) {
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if (!res || !aggregateContent) {
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throw new Error(
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`[getDefaultHandlers] Missing required options: res: ${!res}, aggregateContent: ${!aggregateContent}`,
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);
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}
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const handlers = {
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[GraphEvents.CHAT_MODEL_END]: new ModelEndHandler(collectedUsage),
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[GraphEvents.TOOL_END]: new ToolEndHandler(toolEndCallback),
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[GraphEvents.CHAT_MODEL_STREAM]: new ChatModelStreamHandler(),
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[GraphEvents.ON_RUN_STEP]: {
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/**
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* Handle ON_RUN_STEP event.
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* @param {string} event - The event name.
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* @param {StreamEventData} data - The event data.
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* @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
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*/
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handle: (event, data, metadata) => {
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if (data?.stepDetails.type === StepTypes.TOOL_CALLS) {
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sendEvent(res, { event, data });
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} else if (metadata?.last_agent_index === metadata?.agent_index) {
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sendEvent(res, { event, data });
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} else if (!metadata?.hide_sequential_outputs) {
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sendEvent(res, { event, data });
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} else {
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const agentName = metadata?.name ?? 'Agent';
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const isToolCall = data?.stepDetails.type === StepTypes.TOOL_CALLS;
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const action = isToolCall ? 'performing a task...' : 'thinking...';
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sendEvent(res, {
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event: 'on_agent_update',
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data: {
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runId: metadata?.run_id,
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message: `${agentName} is ${action}`,
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},
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});
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}
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aggregateContent({ event, data });
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},
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},
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[GraphEvents.ON_RUN_STEP_DELTA]: {
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/**
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* Handle ON_RUN_STEP_DELTA event.
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* @param {string} event - The event name.
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* @param {StreamEventData} data - The event data.
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* @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
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*/
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handle: (event, data, metadata) => {
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if (data?.delta.type === StepTypes.TOOL_CALLS) {
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sendEvent(res, { event, data });
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} else if (metadata?.last_agent_index === metadata?.agent_index) {
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sendEvent(res, { event, data });
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} else if (!metadata?.hide_sequential_outputs) {
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sendEvent(res, { event, data });
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}
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aggregateContent({ event, data });
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},
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},
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[GraphEvents.ON_RUN_STEP_COMPLETED]: {
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/**
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* Handle ON_RUN_STEP_COMPLETED event.
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* @param {string} event - The event name.
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* @param {StreamEventData & { result: ToolEndData }} data - The event data.
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* @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
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*/
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handle: (event, data, metadata) => {
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if (data?.result != null) {
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sendEvent(res, { event, data });
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} else if (metadata?.last_agent_index === metadata?.agent_index) {
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sendEvent(res, { event, data });
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} else if (!metadata?.hide_sequential_outputs) {
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sendEvent(res, { event, data });
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}
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aggregateContent({ event, data });
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},
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},
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[GraphEvents.ON_MESSAGE_DELTA]: {
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/**
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* Handle ON_MESSAGE_DELTA event.
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* @param {string} event - The event name.
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* @param {StreamEventData} data - The event data.
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* @param {GraphRunnableConfig['configurable']} [metadata] The runnable metadata.
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*/
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handle: (event, data, metadata) => {
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if (metadata?.last_agent_index === metadata?.agent_index) {
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sendEvent(res, { event, data });
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} else if (!metadata?.hide_sequential_outputs) {
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sendEvent(res, { event, data });
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}
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aggregateContent({ event, data });
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},
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},
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};
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return handlers;
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}
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/**
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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 {Promise<MongoFile | { filename: string; filepath: string; expires: number;} | null>[]} params.artifactPromises
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* @returns {ToolEndCallback} The tool end callback.
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*/
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function createToolEndCallback({ req, res, artifactPromises }) {
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/**
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* @type {ToolEndCallback}
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*/
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return async (data, metadata) => {
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const output = data?.output;
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if (!output) {
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return;
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}
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if (!output.artifact) {
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return;
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}
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if (imageGenTools.has(output.name)) {
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artifactPromises.push(
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(async () => {
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const fileMetadata = Object.assign(output.artifact, {
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messageId: metadata.run_id,
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toolCallId: output.tool_call_id,
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conversationId: metadata.thread_id,
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});
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if (!res.headersSent) {
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return fileMetadata;
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}
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if (!fileMetadata) {
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return null;
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}
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res.write(`event: attachment\ndata: ${JSON.stringify(fileMetadata)}\n\n`);
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return fileMetadata;
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})().catch((error) => {
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logger.error('Error processing code output:', error);
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return null;
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}),
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);
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return;
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}
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if (output.artifact.content) {
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/** @type {FormattedContent[]} */
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const content = output.artifact.content;
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for (const part of content) {
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if (part.type !== 'image_url') {
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continue;
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}
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const { url } = part.image_url;
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artifactPromises.push(
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(async () => {
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const filename = `${output.tool_call_id}-image-${new Date().getTime()}`;
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const file = await saveBase64Image(url, {
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req,
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filename,
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endpoint: metadata.provider,
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context: FileContext.image_generation,
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});
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const fileMetadata = Object.assign(file, {
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messageId: metadata.run_id,
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toolCallId: output.tool_call_id,
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conversationId: metadata.thread_id,
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});
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if (!res.headersSent) {
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return fileMetadata;
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}
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if (!fileMetadata) {
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return null;
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}
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res.write(`event: attachment\ndata: ${JSON.stringify(fileMetadata)}\n\n`);
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return fileMetadata;
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})().catch((error) => {
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logger.error('Error processing artifact content:', error);
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return null;
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}),
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);
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}
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return;
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}
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{
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if (output.name !== Tools.execute_code) {
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return;
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}
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}
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if (!output.artifact.files) {
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return;
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}
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for (const file of output.artifact.files) {
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const { id, name } = file;
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artifactPromises.push(
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(async () => {
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const result = await loadAuthValues({
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userId: req.user.id,
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authFields: [EnvVar.CODE_API_KEY],
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});
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const fileMetadata = await processCodeOutput({
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req,
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id,
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name,
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apiKey: result[EnvVar.CODE_API_KEY],
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messageId: metadata.run_id,
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toolCallId: output.tool_call_id,
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conversationId: metadata.thread_id,
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session_id: output.artifact.session_id,
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});
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if (!res.headersSent) {
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return fileMetadata;
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}
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if (!fileMetadata) {
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return null;
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}
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res.write(`event: attachment\ndata: ${JSON.stringify(fileMetadata)}\n\n`);
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return fileMetadata;
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})().catch((error) => {
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logger.error('Error processing code output:', error);
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return null;
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}),
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);
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}
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};
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}
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module.exports = {
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sendEvent,
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getDefaultHandlers,
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createToolEndCallback,
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};
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