LibreChat/api/server/middleware/buildEndpointOption.js
Danny Avila 67b7b441b2
🛂 feat: Filter Model-Bound Content by Source (#14425)
* feat: introduce optional content protection seam

* feat: enforce source-aware content filters

* feat: complete source-aware content enforcement

* test: activate skill file-text fail-close fixtures

* fix: harden source-aware content filters

* fix: harden model-bound content filtering

* fix: preserve legacy filters and generated files

* fix: inspect shared scalar metadata

* test: align mocks with current dev dependencies

* feat: add persisted content filter safeguards

* feat: complete source-aware content filter enforcement

* fix: move resume content preflight into TypeScript

* fix: close content inspection edge cases

* fix: harden content protection boundaries

* fix: complete content protection safeguards

* test: align persisted memory filter coverage

* fix: reconcile content protection with current dev

* fix: reconcile content protection with latest dev

* fix: close content protection review gaps

* fix: enforce source-aware provider boundaries

* fix: preserve legacy PII preflight semantics

* test: stabilize stored branch preflight fixture

* fix: defer agent writes until protected model admission

* perf: harden source-aware model-bound filtering

* fix: canonicalize provider lineage before validation

* fix: satisfy model-bound callback type checks

* perf: Bound content protection filtering work

* fix: Bound submission array traversal

* fix: Stabilize bounded content snapshots

* fix: Scope model-bound traversal overflows

* fix: Preserve scoped content inspection

* fix: Accumulate aggregate traversal scopes

* fix: centralize content policy boundaries

* test: align deferred tool policy context

* test: align controller policy mocks

* style: normalize content protection imports

* fix: close content policy review gaps

* fix: narrow active skill policy config

* fix: address content protection review boundaries

* fix: retain exact provenance overflow sentinel

* fix: preserve literal and scoped provenance updates

* fix: narrow persisted edit provenance

* fix: isolate exact overflow attribution

* fix: centralize stored prompt protection

* fix: fail closed on incomplete transcript evidence

* fix: align canonical transcript routing

* refactor: centralize content policy preflights

* fix: isolate upload policy error typing

* style: sort policy preflight imports

* refactor: centralize content policy boundaries
2026-08-21 22:43:32 -04:00

188 lines
6.2 KiB
JavaScript

const {
handleError,
applyModelSpecPreset,
findModelSpecByName,
isModelSpecEndpointMatch,
resolveModelSpecPromptPrefixVariables,
inspectContent,
extractChatContent,
contentFilterBlockResponse,
} = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const {
EndpointURLs,
EModelEndpoint,
isAgentsEndpoint,
parseCompactConvo,
getDefaultParamsEndpoint,
} = require('librechat-data-provider');
const azureAssistants = require('~/server/services/Endpoints/azureAssistants');
const assistants = require('~/server/services/Endpoints/assistants');
const { getEndpointsConfig } = require('~/server/services/Config');
const agents = require('~/server/services/Endpoints/agents');
const { updateFilesUsage } = require('~/models');
const buildFunction = {
[EModelEndpoint.agents]: agents.buildOptions,
[EModelEndpoint.assistants]: assistants.buildOptions,
[EModelEndpoint.azureAssistants]: azureAssistants.buildOptions,
};
/**
* Inspects only the user-authored value substituted for `{{current_user}}`.
* The surrounding model-spec prompt is administrator-authored, so treating the
* entire resolved prompt as user provenance would incorrectly apply user
* content policy to static deployment configuration.
*
* `extractChatContent` deliberately gives prompt prefixes both prompt and
* agent-instruction semantics, preserving the source-specific field controls
* for the exact value that becomes model-bound.
*
* @param {ServerRequest} req
* @param {unknown} promptPrefixTemplate
* @returns {import('@librechat/api').ProtectionFinding | null}
*/
function inspectResolvedCurrentUser(req, promptPrefixTemplate) {
if (
typeof promptPrefixTemplate !== 'string' ||
!/{{\s*current_user\s*}}/i.test(promptPrefixTemplate) ||
!req.user?.name
) {
return null;
}
return inspectContent(extractChatContent({ promptPrefix: String(req.user.name) }), {
filters: req.config?.filters,
});
}
async function buildEndpointOption(req, res, next) {
const { endpoint, endpointType } = req.body;
const isAgents =
isAgentsEndpoint(endpoint) || req.baseUrl.startsWith(EndpointURLs[EModelEndpoint.agents]);
let endpointsConfig;
try {
endpointsConfig = await getEndpointsConfig(req);
} catch (error) {
logger.error('Error fetching endpoints config in buildEndpointOption', error);
}
const defaultParamsEndpoint = getDefaultParamsEndpoint(endpointsConfig, endpoint);
let parsedBody;
try {
parsedBody = parseCompactConvo({
endpoint,
endpointType,
conversation: req.body,
defaultParamsEndpoint,
});
} catch (error) {
logger.error('Error parsing compact conversation', error);
return handleError(res, { text: 'Error parsing conversation' });
}
const appConfig = req.config;
let appliedModelSpecPrivateFields = new Set();
if (appConfig.modelSpecs?.list?.length && appConfig.modelSpecs?.enforce) {
/** @type {{ list: TModelSpec[] }}*/
const { list } = appConfig.modelSpecs;
const rawSpec = req.body.spec;
const spec = parsedBody.spec ?? (typeof rawSpec === 'string' ? rawSpec : undefined);
const rawChatProjectId = req.body.chatProjectId;
const parsedBodyForModelSpec =
parsedBody.chatProjectId === undefined &&
(typeof rawChatProjectId === 'string' || rawChatProjectId === null)
? { ...parsedBody, chatProjectId: rawChatProjectId }
: parsedBody;
if (!spec) {
return handleError(res, { text: 'No model spec selected' });
}
const currentModelSpec = findModelSpecByName({ list }, spec);
if (!currentModelSpec) {
return handleError(res, { text: 'Invalid model spec' });
}
if (!isModelSpecEndpointMatch(currentModelSpec, endpoint)) {
return handleError(res, { text: 'Model spec mismatch' });
}
try {
const result = applyModelSpecPreset({
modelSpec: currentModelSpec,
parsedBody: parsedBodyForModelSpec,
endpoint,
endpointType,
defaultParamsEndpoint,
includePresetDefaults: true,
});
parsedBody = result.parsedBody;
appliedModelSpecPrivateFields = result.appliedPrivateFields;
} catch (error) {
logger.error('Error parsing model spec', error);
return handleError(res, { text: 'Error parsing model spec' });
}
} else if (parsedBody.spec && appConfig.modelSpecs?.list) {
const modelSpec = findModelSpecByName(appConfig.modelSpecs, parsedBody.spec);
if (modelSpec) {
if (!isModelSpecEndpointMatch(modelSpec, endpoint)) {
return handleError(res, { text: 'Model spec mismatch' });
}
try {
const result = applyModelSpecPreset({
modelSpec,
parsedBody,
endpoint,
endpointType,
defaultParamsEndpoint,
});
parsedBody = result.parsedBody;
appliedModelSpecPrivateFields = result.appliedPrivateFields;
} catch (error) {
logger.error('Error parsing model spec', error);
return handleError(res, { text: 'Error parsing model spec' });
}
}
}
if (!isAgents && appliedModelSpecPrivateFields.has('promptPrefix')) {
const promptPrefixTemplate = parsedBody.promptPrefix;
parsedBody = resolveModelSpecPromptPrefixVariables(
parsedBody,
req.user,
req.body.clientTimestamp,
);
const finding = inspectResolvedCurrentUser(req, promptPrefixTemplate);
if (finding != null) {
return res.status(400).json(contentFilterBlockResponse(finding));
}
}
try {
const builder = isAgents
? (...args) => buildFunction[EModelEndpoint.agents](req, ...args)
: buildFunction[endpointType ?? endpoint];
// TODO: use object params
req.body = req.body || {}; // Express 5: ensure req.body exists
req.body.endpointOption = await builder(endpoint, parsedBody, endpointType);
if (req.body.files && !isAgents) {
req.body.endpointOption.attachments = updateFilesUsage(req.body.files, undefined, {
user: req.user.id,
tenantId: req.user.tenantId,
});
}
next();
} catch (error) {
logger.error('Error building endpoint option', error);
return handleError(res, { text: 'Error building endpoint option' });
}
}
module.exports = buildEndpointOption;