mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-17 17:00:15 +01:00
* fix: agent initialization, add `collectedUsage` handling * style: improve side panel styling * refactor(loadAgent): Optimize order agent project ID retrieval * feat: code execution * fix: typing issues * feat: ExecuteCode content part * refactor: use local state for default collapsed state of analysis content parts * fix: code parsing in ExecuteCode component * chore: bump agents package, export loadAuthValues * refactor: Update handleTools.js to use EnvVar for code execution tool authentication * WIP * feat: download code outputs * fix(useEventHandlers): type issues * feat: backend handling for code outputs * Refactor: Remove console.log statement in Part.tsx * refactor: add attachments to TMessage/messageSchema * WIP: prelim handling for code outputs * feat: attachments rendering * refactor: improve attachments rendering * fix: attachments, nullish edge case, handle attachments from event stream, bump agents package * fix filename download * fix: tool assignment for 'run code' on agent creation * fix: image handling by adding attachments * refactor: prevent agent creation without provider/model * refactor: remove unnecessary space in agent creation success message * refactor: select first model if selecting provider from empty on form * fix: Agent avatar bug * fix: `defaultAgentFormValues` causing boolean typing issue and typeerror * fix: capabilities counting as tools, causing duplication of them * fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation) * chore: bump @librechat/agents dependency to version 1.6.9 * feat: bedrock agents * feat: new Agents icon * feat: agent titling * feat: agent landing * refactor: allow sharing agent globally only if user is admin or author * feat: initial AgentPanelSkeleton * feat: AgentPanelSkeleton * feat: collaborative agents * chore: add potential authorName as part of schema * chore: Remove unnecessary console.log statement * WIP: agent model parameters * chore: ToolsDialog typing and tool related localization chnages * refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper * chore: add back tools * feat: Agent knowledge files upload * refactor: better verbiage for disabled knowledge * chore: debug logs for file deletions * chore: debug logs for file deletions * feat: upload/delete agent knowledge/file-search files * feat: file search UI for agents * feat: first pass, file search tool * chore: update default agent capabilities and info
242 lines
7.3 KiB
JavaScript
242 lines
7.3 KiB
JavaScript
const { ToolCallTypes } = require('librechat-data-provider');
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const validateAuthor = require('~/server/middleware/assistants/validateAuthor');
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const { validateAndUpdateTool } = require('~/server/services/ActionService');
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const { updateAssistantDoc } = require('~/models/Assistant');
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const { getOpenAIClient } = require('./helpers');
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const { logger } = require('~/config');
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/**
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* Create an assistant.
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* @route POST /assistants
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* @param {AssistantCreateParams} req.body - The assistant creation parameters.
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* @returns {Assistant} 201 - success response - application/json
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*/
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const createAssistant = async (req, res) => {
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try {
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/** @type {{ openai: OpenAIClient }} */
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const { openai } = await getOpenAIClient({ req, res });
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const { tools = [], endpoint, conversation_starters, ...assistantData } = req.body;
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delete assistantData.conversation_starters;
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assistantData.tools = tools
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.map((tool) => {
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if (typeof tool !== 'string') {
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return tool;
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}
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return req.app.locals.availableTools[tool];
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})
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.filter((tool) => tool);
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let azureModelIdentifier = null;
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if (openai.locals?.azureOptions) {
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azureModelIdentifier = assistantData.model;
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assistantData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
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}
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assistantData.metadata = {
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author: req.user.id,
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endpoint,
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};
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const assistant = await openai.beta.assistants.create(assistantData);
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const createData = { user: req.user.id };
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if (conversation_starters) {
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createData.conversation_starters = conversation_starters;
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}
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const document = await updateAssistantDoc({ assistant_id: assistant.id }, createData);
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if (azureModelIdentifier) {
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assistant.model = azureModelIdentifier;
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}
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if (document.conversation_starters) {
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assistant.conversation_starters = document.conversation_starters;
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}
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logger.debug('/assistants/', assistant);
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res.status(201).json(assistant);
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} catch (error) {
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logger.error('[/assistants] Error creating assistant', error);
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res.status(500).json({ error: error.message });
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}
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};
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/**
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* Modifies an assistant.
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* @param {object} params
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* @param {Express.Request} params.req
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* @param {OpenAIClient} params.openai
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* @param {string} params.assistant_id
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* @param {AssistantUpdateParams} params.updateData
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* @returns {Promise<Assistant>} The updated assistant.
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*/
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const updateAssistant = async ({ req, openai, assistant_id, updateData }) => {
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await validateAuthor({ req, openai });
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const tools = [];
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let conversation_starters = null;
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if (updateData?.conversation_starters) {
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const conversationStartersUpdate = await updateAssistantDoc(
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{ assistant_id: assistant_id },
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{ conversation_starters: updateData.conversation_starters },
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);
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conversation_starters = conversationStartersUpdate.conversation_starters;
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delete updateData.conversation_starters;
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}
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let hasFileSearch = false;
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for (const tool of updateData.tools ?? []) {
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let actualTool = typeof tool === 'string' ? req.app.locals.availableTools[tool] : tool;
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if (!actualTool) {
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continue;
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}
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if (actualTool.type === ToolCallTypes.FILE_SEARCH) {
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hasFileSearch = true;
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}
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if (!actualTool.function) {
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tools.push(actualTool);
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continue;
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}
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const updatedTool = await validateAndUpdateTool({ req, tool: actualTool, assistant_id });
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if (updatedTool) {
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tools.push(updatedTool);
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}
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}
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if (hasFileSearch && !updateData.tool_resources) {
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const assistant = await openai.beta.assistants.retrieve(assistant_id);
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updateData.tool_resources = assistant.tool_resources ?? null;
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}
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if (hasFileSearch && !updateData.tool_resources?.file_search) {
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updateData.tool_resources = {
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...(updateData.tool_resources ?? {}),
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file_search: {
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vector_store_ids: [],
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},
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};
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}
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updateData.tools = tools;
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if (openai.locals?.azureOptions && updateData.model) {
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updateData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
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}
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const assistant = await openai.beta.assistants.update(assistant_id, updateData);
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if (conversation_starters) {
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assistant.conversation_starters = conversation_starters;
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}
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return assistant;
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};
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/**
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* Modifies an assistant with the resource file id.
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* @param {object} params
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* @param {Express.Request} params.req
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* @param {OpenAIClient} params.openai
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* @param {string} params.assistant_id
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* @param {string} params.tool_resource
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* @param {string} params.file_id
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* @returns {Promise<Assistant>} The updated assistant.
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*/
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const addResourceFileId = async ({ req, openai, assistant_id, tool_resource, file_id }) => {
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const assistant = await openai.beta.assistants.retrieve(assistant_id);
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const { tool_resources = {} } = assistant;
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if (tool_resources[tool_resource]) {
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tool_resources[tool_resource].file_ids.push(file_id);
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} else {
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tool_resources[tool_resource] = { file_ids: [file_id] };
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}
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delete assistant.id;
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return await updateAssistant({
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req,
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openai,
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assistant_id,
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updateData: { tools: assistant.tools, tool_resources },
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});
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};
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/**
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* Deletes a file ID from an assistant's resource.
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* @param {object} params
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* @param {Express.Request} params.req
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* @param {OpenAIClient} params.openai
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* @param {string} params.assistant_id
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* @param {string} [params.tool_resource]
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* @param {string} params.file_id
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* @param {AssistantUpdateParams} params.updateData
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* @returns {Promise<Assistant>} The updated assistant.
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*/
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const deleteResourceFileId = async ({ req, openai, assistant_id, tool_resource, file_id }) => {
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const assistant = await openai.beta.assistants.retrieve(assistant_id);
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const { tool_resources = {} } = assistant;
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if (tool_resource && tool_resources[tool_resource]) {
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const resource = tool_resources[tool_resource];
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const index = resource.file_ids.indexOf(file_id);
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if (index !== -1) {
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resource.file_ids.splice(index, 1);
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}
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} else {
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for (const resourceKey in tool_resources) {
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const resource = tool_resources[resourceKey];
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const index = resource.file_ids.indexOf(file_id);
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if (index !== -1) {
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resource.file_ids.splice(index, 1);
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break;
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}
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}
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}
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delete assistant.id;
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return await updateAssistant({
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req,
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openai,
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assistant_id,
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updateData: { tools: assistant.tools, tool_resources },
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});
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};
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/**
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* Modifies an assistant.
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* @route PATCH /assistants/:id
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* @param {object} req - Express Request
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* @param {object} req.params - Request params
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* @param {string} req.params.id - Assistant identifier.
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* @param {AssistantUpdateParams} req.body - The assistant update parameters.
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* @returns {Assistant} 200 - success response - application/json
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*/
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const patchAssistant = async (req, res) => {
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try {
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const { openai } = await getOpenAIClient({ req, res });
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const assistant_id = req.params.id;
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const { endpoint: _e, ...updateData } = req.body;
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updateData.tools = updateData.tools ?? [];
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const updatedAssistant = await updateAssistant({ req, openai, assistant_id, updateData });
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res.json(updatedAssistant);
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} catch (error) {
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logger.error('[/assistants/:id] Error updating assistant', error);
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res.status(500).json({ error: error.message });
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}
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};
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module.exports = {
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patchAssistant,
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createAssistant,
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updateAssistant,
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addResourceFileId,
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deleteResourceFileId,
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};
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