LibreChat/api/server/middleware/buildEndpointOption.js
Danny Avila 01e9b196bc
🤖 feat: Streamline Endpoints to Agent Framework (#8013)
* refactor(buildEndpointOption): Improve error logging in middleware, consolidate `isAgents` builder logic, remove adding `modelsConfig` to `endpointOption`

* refactor: parameter extraction and organization in agent services, minimize redundancy of shared fields across objects, make clear distinction of parameters processed uniquely by LibreChat vs LLM Provider Configs

* refactor(createPayload): streamline all endpoints to agent route

* fix: add `modelLabel` to response sender options for agent initialization

* chore: correct log message context in EditController abort controller cleanup

* chore: remove unused abortRequest hook

* chore: remove unused addToCache module and its dependencies

* refactor: remove AskController and related routes, update endpoint URLs (now all streamlined to agents route)

* chore: remove unused bedrock route and its related imports

* refactor: simplify response sender logic for Google endpoint

* chore: add `modelDisplayLabel` handling for agents endpoint

* feat: add file search capability to ephemeral agents, update code interpreter selection based of file upload, consolidate main upload menu for all endpoints

* feat: implement useToolToggle hook for managing tool toggle state, refactor CodeInterpreter and WebSearch components to utilize new hook

* feat: add ToolsDropdown component to BadgeRow for enhanced tool options

* feat: introduce BadgeRowContext and BadgeRowProvider for managing conversation state, refactor related components to utilize context

* feat: implement useMCPSelect hook for managing MCP selection state, refactor MCPSelect component to utilize new hook

* feat: enhance BadgeRowContext with MCPSelect and tool toggle functionality, refactor related components to utilize updated context and hooks

* refactor: streamline useToolToggle hook by integrating setEphemeralAgent directly into toggle logic and removing redundant setValue function

* refactor: consolidate codeApiKeyForm and searchApiKeyForm from CodeInterpreter and WebSearch to utilize new context properties

* refactor: update CheckboxButton to support controlled state and enhance ToolsDropdown with permission-based toggles for web search and code interpreter

* refactor: conditionally render CheckboxButton in CodeInterpreter and WebSearch components for improved UI responsiveness

* chore: add jotai dependency to package.json and package-lock.json

* chore: update brace-expansion package to version 2.0.2 in package-lock.json due to CVE-2025-5889

* Revert "chore: add jotai dependency to package.json and package-lock.json"

This reverts commit 69b6997396.

* refactor: add pinning functionality to CodeInterpreter and WebSearch components, and enhance ToolsDropdown with pin toggle for web search and code interpreter

* chore: move MCPIcon to correct location, remove duplicate

* fix: update MCP import to use type-only import from librechat-data-provider

* feat: implement MCPSubMenu component and integrate pinning functionality into ToolsDropdown

* fix: cycling to submenu by using parent menu context

* feat: add FileSearch component and integrate it into BadgeRow and ToolsDropdown

* chore: import order

* chore: remove agent specific logic that would block functionality for streamlined endpoints

* chore: linting for `createContextHandlers`

* chore: ensure ToolsDropdown doesn't show up for agents

* chore: ensure tool resource is selected when dragged to UI

* chore: update file search behavior to simulate legacy functionality

* feat: ToolDialogs with multiple trigger references, add settings to tool dropdown

* refactor: simplify web search and code interpreter settings checks

* chore: simplify local storage key for pinned state in useToolToggle

* refactor: reinstate agent check in AttachFileChat component, as individual providers will ahve different file configurations

* ci: increase timeout for MongoDB connection in Agent tests
2025-06-23 09:59:05 -04:00

112 lines
4 KiB
JavaScript

const { logger } = require('@librechat/data-schemas');
const {
EndpointURLs,
EModelEndpoint,
isAgentsEndpoint,
parseCompactConvo,
} = require('librechat-data-provider');
const azureAssistants = require('~/server/services/Endpoints/azureAssistants');
const assistants = require('~/server/services/Endpoints/assistants');
const gptPlugins = require('~/server/services/Endpoints/gptPlugins');
const { processFiles } = require('~/server/services/Files/process');
const anthropic = require('~/server/services/Endpoints/anthropic');
const bedrock = require('~/server/services/Endpoints/bedrock');
const openAI = require('~/server/services/Endpoints/openAI');
const agents = require('~/server/services/Endpoints/agents');
const custom = require('~/server/services/Endpoints/custom');
const google = require('~/server/services/Endpoints/google');
const { handleError } = require('~/server/utils');
const buildFunction = {
[EModelEndpoint.openAI]: openAI.buildOptions,
[EModelEndpoint.google]: google.buildOptions,
[EModelEndpoint.custom]: custom.buildOptions,
[EModelEndpoint.agents]: agents.buildOptions,
[EModelEndpoint.bedrock]: bedrock.buildOptions,
[EModelEndpoint.azureOpenAI]: openAI.buildOptions,
[EModelEndpoint.anthropic]: anthropic.buildOptions,
[EModelEndpoint.gptPlugins]: gptPlugins.buildOptions,
[EModelEndpoint.assistants]: assistants.buildOptions,
[EModelEndpoint.azureAssistants]: azureAssistants.buildOptions,
};
async function buildEndpointOption(req, res, next) {
const { endpoint, endpointType } = req.body;
let parsedBody;
try {
parsedBody = parseCompactConvo({ endpoint, endpointType, conversation: req.body });
} catch (error) {
logger.warn(
`Error parsing conversation for endpoint ${endpoint}${error?.message ? `: ${error.message}` : ''}`,
);
return handleError(res, { text: 'Error parsing conversation' });
}
if (req.app.locals.modelSpecs?.list && req.app.locals.modelSpecs?.enforce) {
/** @type {{ list: TModelSpec[] }}*/
const { list } = req.app.locals.modelSpecs;
const { spec } = parsedBody;
if (!spec) {
return handleError(res, { text: 'No model spec selected' });
}
const currentModelSpec = list.find((s) => s.name === spec);
if (!currentModelSpec) {
return handleError(res, { text: 'Invalid model spec' });
}
if (endpoint !== currentModelSpec.preset.endpoint) {
return handleError(res, { text: 'Model spec mismatch' });
}
if (
currentModelSpec.preset.endpoint !== EModelEndpoint.gptPlugins &&
currentModelSpec.preset.tools
) {
return handleError(res, {
text: `Only the "${EModelEndpoint.gptPlugins}" endpoint can have tools defined in the preset`,
});
}
try {
currentModelSpec.preset.spec = spec;
if (currentModelSpec.iconURL != null && currentModelSpec.iconURL !== '') {
currentModelSpec.preset.iconURL = currentModelSpec.iconURL;
}
parsedBody = parseCompactConvo({
endpoint,
endpointType,
conversation: currentModelSpec.preset,
});
} catch (error) {
logger.error(`Error parsing model spec for endpoint ${endpoint}`, error);
return handleError(res, { text: 'Error parsing model spec' });
}
}
try {
const isAgents =
isAgentsEndpoint(endpoint) || req.baseUrl.startsWith(EndpointURLs[EModelEndpoint.agents]);
const builder = isAgents
? (...args) => buildFunction[EModelEndpoint.agents](req, ...args)
: buildFunction[endpointType ?? endpoint];
// TODO: use object params
req.body.endpointOption = await builder(endpoint, parsedBody, endpointType);
if (req.body.files && !isAgents) {
req.body.endpointOption.attachments = processFiles(req.body.files);
}
next();
} catch (error) {
logger.error(
`Error building endpoint option for endpoint ${endpoint} with type ${endpointType}`,
error,
);
return handleError(res, { text: 'Error building endpoint option' });
}
}
module.exports = buildEndpointOption;