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* 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
126 lines
3.5 KiB
JavaScript
126 lines
3.5 KiB
JavaScript
const { getModelMaxTokens } = require('@librechat/api');
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const BaseClient = require('../BaseClient');
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class FakeClient extends BaseClient {
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constructor(apiKey, options = {}) {
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super(apiKey, options);
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this.sender = 'AI Assistant';
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this.setOptions(options);
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}
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setOptions(options) {
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if (this.options && !this.options.replaceOptions) {
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this.options.modelOptions = {
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...this.options.modelOptions,
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...options.modelOptions,
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};
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delete options.modelOptions;
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this.options = {
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...this.options,
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...options,
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};
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} else {
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this.options = options;
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}
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if (this.options.openaiApiKey) {
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this.apiKey = this.options.openaiApiKey;
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}
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const modelOptions = this.options.modelOptions || {};
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if (!this.modelOptions) {
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this.modelOptions = {
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...modelOptions,
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model: modelOptions.model || 'gpt-3.5-turbo',
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temperature:
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typeof modelOptions.temperature === 'undefined' ? 0.8 : modelOptions.temperature,
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top_p: typeof modelOptions.top_p === 'undefined' ? 1 : modelOptions.top_p,
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presence_penalty:
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typeof modelOptions.presence_penalty === 'undefined' ? 1 : modelOptions.presence_penalty,
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stop: modelOptions.stop,
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};
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}
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this.maxContextTokens =
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this.options.maxContextTokens ?? getModelMaxTokens(this.modelOptions.model) ?? 4097;
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}
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buildMessages() {}
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getTokenCount(str) {
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return str.length;
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}
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getTokenCountForMessage(message) {
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return message?.content?.length || message.length;
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}
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}
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const initializeFakeClient = (apiKey, options, fakeMessages) => {
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let TestClient = new FakeClient(apiKey);
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TestClient.options = options;
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TestClient.abortController = { abort: jest.fn() };
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TestClient.loadHistory = jest
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.fn()
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.mockImplementation((conversationId, parentMessageId = null) => {
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if (!conversationId) {
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TestClient.currentMessages = [];
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return Promise.resolve([]);
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}
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const orderedMessages = TestClient.constructor.getMessagesForConversation({
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messages: fakeMessages,
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parentMessageId,
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});
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TestClient.currentMessages = orderedMessages;
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return Promise.resolve(orderedMessages);
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});
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TestClient.getSaveOptions = jest.fn().mockImplementation(() => {
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return {};
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});
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TestClient.getBuildMessagesOptions = jest.fn().mockImplementation(() => {
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return {};
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});
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TestClient.sendCompletion = jest.fn(async () => {
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return {
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completion: 'Mock response text',
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metadata: undefined,
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};
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});
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TestClient.getCompletion = jest.fn().mockImplementation(async (..._args) => {
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return {
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choices: [
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{
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message: {
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content: 'Mock response text',
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},
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},
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],
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};
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});
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TestClient.buildMessages = jest.fn(async (messages, parentMessageId) => {
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const orderedMessages = TestClient.constructor.getMessagesForConversation({
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messages,
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parentMessageId,
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});
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const formattedMessages = orderedMessages.map((message) => {
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let { role: _role, sender, text } = message;
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const role = _role ?? sender;
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const content = Array.isArray(message.content) ? message.content : (text ?? '');
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return {
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role: role?.toLowerCase() === 'user' ? 'user' : 'assistant',
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content,
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};
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});
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return {
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prompt: formattedMessages,
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tokenCountMap: null, // Simplified for the mock
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};
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});
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return TestClient;
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};
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module.exports = { FakeClient, initializeFakeClient };
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