mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-29 14:48:51 +01:00
🔦 feat: MCP Support for Non-Agent Endpoints (#6775)
* wip: mcp select * refactor: Update useAvailableToolsQuery to support generic data types * feat: Enhance MCPSelect to dynamically load server options and improve MultiSelect component styling * WIP: ephemeral agents * wip: Add null check for MCPSelect and improve MultiSelect focus handling * feat: Pass conversationId prop to MCPSelect in BadgeRow to optimize badge rendering * feat: useApplyNewAgentTemplate hook to manage ephemeral agent upon conversation creation * WIP: eph. agent payload * refactor(OpenAIClient): streamline message processing by replacing content handling with parseTextParts function * feat: enhance applyAgentTemplate function to accept source conversation ID for improved template application * feat(parsers): add skipReasoning parameter to parseTextParts for conditional reasoning handling * WIP: first pass, ephemeral agent backend processing * chore: import order * feat: update loadEphemeralAgent and loadAgent functions to accept model_parameters for enhanced agent configuration * feat: add showMCPServers prop to BadgeRow for conditional rendering of MCPSelect, fix react rule violation * feat: enhance MCPSelect with localized placeholder and custom icon, add renderSelectedValues callback * feat: simplify message processing in AnthropicClient by replacing content handling with parseTextParts function * feat: implement useLocalStorage hook for managing MCP values and update MCPSelect to utilize it * chore: remove chatGPTBrowserSchema from endpoint schemas and update types for improved schema management * chore: remove compactChatGPTSchema from endpoint schemas and update types for better schema management * refactor: rename schemas for clarity and improve schema management * feat: extend model detection to include 'codestral' alongside 'mistral' * feat: add endpointType parameter to buildOptions and initializeClient functions * fix: update condition for handling completion in BaseClient to include agents client * refactor: simplify payload parsing logic in AgentClient and remove unused providerParsers * refactor: change useSetRecoilState to useRecoilState for better state management in MCPSelect component * refactor: streamline chat route handlers by consolidating middleware and improving endpoint structure * style: update MCPSelect and MultiSelect components for improved layout in mobile view * v0.7.790 * feat: add getMessageMapMethod to process message text and content in GoogleClient * chore: include LAST_MCP_ key prefix in clearLocalStorage function for proper teardown on logout
This commit is contained in:
parent
018143b5cc
commit
910c73359b
31 changed files with 741 additions and 285 deletions
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@ -4,6 +4,7 @@ const {
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Constants,
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ErrorTypes,
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EModelEndpoint,
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parseTextParts,
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anthropicSettings,
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getResponseSender,
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validateVisionModel,
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@ -696,15 +697,8 @@ class AnthropicClient extends BaseClient {
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if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
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msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
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} else if (msg.content != null) {
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/** @type {import('@librechat/agents').MessageContentComplex} */
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const newContent = [];
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for (let part of msg.content) {
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if (part.think != null) {
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continue;
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}
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newContent.push(part);
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}
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msg.content = newContent;
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msg.text = parseTextParts(msg.content, true);
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delete msg.content;
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}
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return msg;
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@ -676,7 +676,8 @@ class BaseClient {
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responseMessage.text = addSpaceIfNeeded(generation) + completion;
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} else if (
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Array.isArray(completion) &&
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isParamEndpoint(this.options.endpoint, this.options.endpointType)
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(this.clientName === EModelEndpoint.agents ||
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isParamEndpoint(this.options.endpoint, this.options.endpointType))
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) {
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responseMessage.text = '';
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responseMessage.content = completion;
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@ -9,6 +9,7 @@ const {
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validateVisionModel,
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getResponseSender,
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endpointSettings,
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parseTextParts,
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EModelEndpoint,
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ContentTypes,
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VisionModes,
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@ -774,6 +775,22 @@ class GoogleClient extends BaseClient {
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return this.usage;
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}
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getMessageMapMethod() {
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/**
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* @param {TMessage} msg
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*/
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return (msg) => {
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if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
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msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
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} else if (msg.content != null) {
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msg.text = parseTextParts(msg.content, true);
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delete msg.content;
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}
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return msg;
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};
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}
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/**
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* Calculates the correct token count for the current user message based on the token count map and API usage.
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* Edge case: If the calculation results in a negative value, it returns the original estimate.
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@ -6,6 +6,7 @@ const {
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Constants,
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ImageDetail,
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ContentTypes,
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parseTextParts,
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EModelEndpoint,
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resolveHeaders,
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KnownEndpoints,
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@ -1121,15 +1122,8 @@ ${convo}
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if (msg.text != null && msg.text && msg.text.startsWith(':::thinking')) {
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msg.text = msg.text.replace(/:::thinking.*?:::/gs, '').trim();
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} else if (msg.content != null) {
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/** @type {import('@librechat/agents').MessageContentComplex} */
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const newContent = [];
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for (let part of msg.content) {
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if (part.think != null) {
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continue;
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}
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newContent.push(part);
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}
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msg.content = newContent;
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msg.text = parseTextParts(msg.content, true);
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delete msg.content;
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}
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return msg;
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@ -1,6 +1,8 @@
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const mongoose = require('mongoose');
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const { agentSchema } = require('@librechat/data-schemas');
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const { SystemRoles } = require('librechat-data-provider');
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const { GLOBAL_PROJECT_NAME } = require('librechat-data-provider').Constants;
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const { GLOBAL_PROJECT_NAME, EPHEMERAL_AGENT_ID, mcp_delimiter } =
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require('librechat-data-provider').Constants;
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const { CONFIG_STORE, STARTUP_CONFIG } = require('librechat-data-provider').CacheKeys;
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const {
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getProjectByName,
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@ -9,7 +11,6 @@ const {
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removeAgentFromAllProjects,
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} = require('./Project');
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const getLogStores = require('~/cache/getLogStores');
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const { agentSchema } = require('@librechat/data-schemas');
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const Agent = mongoose.model('agent', agentSchema);
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@ -39,9 +40,55 @@ const getAgent = async (searchParameter) => await Agent.findOne(searchParameter)
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* @param {Object} params
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* @param {ServerRequest} params.req
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* @param {string} params.agent_id
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* @param {string} params.endpoint
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* @param {import('@librechat/agents').ClientOptions} [params.model_parameters]
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* @returns {Agent|null} The agent document as a plain object, or null if not found.
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*/
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const loadEphemeralAgent = ({ req, agent_id, endpoint, model_parameters: _m }) => {
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const { model, ...model_parameters } = _m;
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/** @type {Record<string, FunctionTool>} */
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const availableTools = req.app.locals.availableTools;
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const mcpServers = new Set(req.body.ephemeralAgent?.mcp);
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/** @type {string[]} */
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const tools = [];
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for (const toolName of Object.keys(availableTools)) {
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if (!toolName.includes(mcp_delimiter)) {
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continue;
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}
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const mcpServer = toolName.split(mcp_delimiter)?.[1];
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if (mcpServer && mcpServers.has(mcpServer)) {
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tools.push(toolName);
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}
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}
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const instructions = req.body.promptPrefix;
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return {
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id: agent_id,
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instructions,
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provider: endpoint,
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model_parameters,
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model,
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tools,
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};
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};
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/**
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* Load an agent based on the provided ID
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*
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* @param {Object} params
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* @param {ServerRequest} params.req
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* @param {string} params.agent_id
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* @param {string} params.endpoint
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* @param {import('@librechat/agents').ClientOptions} [params.model_parameters]
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* @returns {Promise<Agent|null>} The agent document as a plain object, or null if not found.
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*/
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const loadAgent = async ({ req, agent_id }) => {
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const loadAgent = async ({ req, agent_id, endpoint, model_parameters }) => {
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if (!agent_id) {
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return null;
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}
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if (agent_id === EPHEMERAL_AGENT_ID) {
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return loadEphemeralAgent({ req, agent_id, endpoint, model_parameters });
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}
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const agent = await getAgent({
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id: agent_id,
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});
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@ -20,11 +20,9 @@ const {
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const {
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Constants,
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VisionModes,
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openAISchema,
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ContentTypes,
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EModelEndpoint,
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KnownEndpoints,
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anthropicSchema,
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isAgentsEndpoint,
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AgentCapabilities,
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bedrockInputSchema,
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@ -43,11 +41,18 @@ const { createRun } = require('./run');
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/** @typedef {import('@librechat/agents').MessageContentComplex} MessageContentComplex */
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/** @typedef {import('@langchain/core/runnables').RunnableConfig} RunnableConfig */
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const providerParsers = {
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[EModelEndpoint.openAI]: openAISchema.parse,
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[EModelEndpoint.azureOpenAI]: openAISchema.parse,
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[EModelEndpoint.anthropic]: anthropicSchema.parse,
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[EModelEndpoint.bedrock]: bedrockInputSchema.parse,
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/**
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* @param {ServerRequest} req
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* @param {Agent} agent
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* @param {string} endpoint
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*/
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const payloadParser = ({ req, agent, endpoint }) => {
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if (isAgentsEndpoint(endpoint)) {
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return { model: undefined };
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} else if (endpoint === EModelEndpoint.bedrock) {
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return bedrockInputSchema.parse(agent.model_parameters);
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}
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return req.body.endpointOption.model_parameters;
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};
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const legacyContentEndpoints = new Set([KnownEndpoints.groq, KnownEndpoints.deepseek]);
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@ -180,28 +185,19 @@ class AgentClient extends BaseClient {
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}
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getSaveOptions() {
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const parseOptions = providerParsers[this.options.endpoint];
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let runOptions =
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this.options.endpoint === EModelEndpoint.agents
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? {
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model: undefined,
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// TODO:
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// would need to be override settings; otherwise, model needs to be undefined
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// model: this.override.model,
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// instructions: this.override.instructions,
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// additional_instructions: this.override.additional_instructions,
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}
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: {};
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if (parseOptions) {
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try {
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runOptions = parseOptions(this.options.agent.model_parameters);
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} catch (error) {
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logger.error(
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'[api/server/controllers/agents/client.js #getSaveOptions] Error parsing options',
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error,
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);
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}
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// TODO:
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// would need to be override settings; otherwise, model needs to be undefined
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// model: this.override.model,
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// instructions: this.override.instructions,
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// additional_instructions: this.override.additional_instructions,
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let runOptions = {};
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try {
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runOptions = payloadParser(this.options);
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} catch (error) {
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logger.error(
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'[api/server/controllers/agents/client.js #getSaveOptions] Error parsing options',
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error,
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);
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}
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return removeNullishValues(
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@ -1,6 +1,11 @@
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const { parseCompactConvo, EModelEndpoint, isAgentsEndpoint } = require('librechat-data-provider');
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const { getModelsConfig } = require('~/server/controllers/ModelController');
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const {
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parseCompactConvo,
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EModelEndpoint,
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isAgentsEndpoint,
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EndpointURLs,
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} = require('librechat-data-provider');
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const azureAssistants = require('~/server/services/Endpoints/azureAssistants');
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const { getModelsConfig } = require('~/server/controllers/ModelController');
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const assistants = require('~/server/services/Endpoints/assistants');
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const gptPlugins = require('~/server/services/Endpoints/gptPlugins');
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const { processFiles } = require('~/server/services/Files/process');
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@ -77,8 +82,9 @@ async function buildEndpointOption(req, res, next) {
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}
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try {
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const isAgents = isAgentsEndpoint(endpoint);
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const endpointFn = buildFunction[endpointType ?? endpoint];
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const isAgents =
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isAgentsEndpoint(endpoint) || req.baseUrl.startsWith(EndpointURLs[EModelEndpoint.agents]);
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const endpointFn = buildFunction[isAgents ? EModelEndpoint.agents : (endpointType ?? endpoint)];
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const builder = isAgents ? (...args) => endpointFn(req, ...args) : endpointFn;
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// TODO: use object params
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@ -20,24 +20,33 @@ router.post('/abort', handleAbort());
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const checkAgentAccess = generateCheckAccess(PermissionTypes.AGENTS, [Permissions.USE]);
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router.use(checkAgentAccess);
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router.use(validateConvoAccess);
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router.use(buildEndpointOption);
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router.use(setHeaders);
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const controller = async (req, res, next) => {
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await AgentController(req, res, next, initializeClient, addTitle);
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};
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/**
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* @route POST /
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* @route POST / (regular endpoint)
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* @desc Chat with an assistant
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* @access Public
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* @param {express.Request} req - The request object, containing the request data.
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* @param {express.Response} res - The response object, used to send back a response.
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* @returns {void}
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*/
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router.post(
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'/',
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// validateModel,
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checkAgentAccess,
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validateConvoAccess,
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buildEndpointOption,
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setHeaders,
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async (req, res, next) => {
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await AgentController(req, res, next, initializeClient, addTitle);
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},
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);
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router.post('/', controller);
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/**
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* @route POST /:endpoint (ephemeral agents)
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* @desc Chat with an assistant
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* @access Public
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* @param {express.Request} req - The request object, containing the request data.
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* @param {express.Response} res - The response object, used to send back a response.
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* @returns {void}
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*/
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router.post('/:endpoint', controller);
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module.exports = router;
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@ -1,12 +1,15 @@
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const { isAgentsEndpoint, Constants } = require('librechat-data-provider');
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const { loadAgent } = require('~/models/Agent');
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const { logger } = require('~/config');
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const buildOptions = (req, endpoint, parsedBody) => {
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const buildOptions = (req, endpoint, parsedBody, endpointType) => {
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const { spec, iconURL, agent_id, instructions, maxContextTokens, ...model_parameters } =
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parsedBody;
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const agentPromise = loadAgent({
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req,
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agent_id,
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agent_id: isAgentsEndpoint(endpoint) ? agent_id : Constants.EPHEMERAL_AGENT_ID,
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endpoint,
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model_parameters,
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}).catch((error) => {
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logger.error(`[/agents/:${agent_id}] Error retrieving agent during build options step`, error);
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return undefined;
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@ -17,6 +20,7 @@ const buildOptions = (req, endpoint, parsedBody) => {
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iconURL,
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endpoint,
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agent_id,
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endpointType,
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instructions,
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maxContextTokens,
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model_parameters,
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@ -1,5 +1,6 @@
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const { createContentAggregator, Providers } = require('@librechat/agents');
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const {
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Constants,
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ErrorTypes,
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EModelEndpoint,
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getResponseSender,
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@ -322,10 +323,14 @@ const initializeClient = async ({ req, res, endpointOption }) => {
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agent: primaryConfig,
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spec: endpointOption.spec,
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iconURL: endpointOption.iconURL,
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endpoint: EModelEndpoint.agents,
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attachments: primaryConfig.attachments,
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endpointType: endpointOption.endpointType,
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maxContextTokens: primaryConfig.maxContextTokens,
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resendFiles: primaryConfig.model_parameters?.resendFiles ?? true,
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endpoint:
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primaryConfig.id === Constants.EPHEMERAL_AGENT_ID
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? primaryConfig.endpoint
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: EModelEndpoint.agents,
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});
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return { client };
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