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26 Commits

Author SHA1 Message Date
Danny Avila
95214c43c2 chore: revert removal of unused vars for versioning 2025-06-20 16:22:45 -04:00
Danny Avila
f8c8b89f4d chore: address ESLint errors 2025-06-20 16:22:45 -04:00
Danny Avila
5512c55d71 chore: linting, remove unused vars, and remove project-related parameters from updateAgentHandler 2025-06-20 16:22:45 -04:00
Danny Avila
e07067c86d chore: linting in api/models/Agent.js and removed unused variables 2025-06-20 16:22:44 -04:00
Danny Avila
2bd1eb3cca refactor: remove German locale (must be added via i18n) 2025-06-20 16:22:44 -04:00
Atef Bellaaj
57084f2caa feat: enforce at least one owner requirement for permission updates and add corresponding localization messages 2025-06-20 16:22:44 -04:00
Atef Bellaaj
669af746ed feat: add support for including Entra ID group owners as members in permissions management + fix Group members paging 2025-06-20 16:22:43 -04:00
Atef Bellaaj
f9994d1547 feat: enhance agent permissions migration with DocumentDB compatibility and add dry-run script 2025-06-20 16:22:43 -04:00
Atef Bellaaj
c62a23fafc refactor: remove problematic projection pipelines in getResourcePermissions for document db aws compatibility 2025-06-20 16:22:42 -04:00
Atef Bellaaj
6bbefcd16e fix: add roleId parameter to grantPermission and update tests for GraphApiService 2025-06-20 16:22:42 -04:00
Atef Bellaaj
1016a33b89 feat: add check for People.Read scope in searchContacts 2025-06-20 16:22:42 -04:00
Atef Bellaaj
c9aa10d3d5 - Fix ObjectId comparison in getListAgentsHandler using .equals() method instead of strict equality
- Add findPubliclyAccessibleResources function to PermissionService for bulk public resource queries
  - Add hasPublicPermission function to PermissionService for individual resource public permission checks
  - Update getAgentHandler to use hasPublicPermission for accurate individual agent public status
  - Replace instanceProjectId-based global checks with isPublic property from backend in client code
  - Add isPublic property to Agent type definition
  - Add NODE_TLS_REJECT_UNAUTHORIZED debug setting to VS Code launch config
2025-06-20 16:22:41 -04:00
Atef Bellaaj
5979efd607 refactor permission service with reuse of model methods from data-schema package 2025-06-20 16:22:41 -04:00
Atef Bellaaj
25b97ba388 - add cursor-based pagination to getListAgentsByAccess and update handler
- add index on updatedAt and _id in agent schema for improved query performance
2025-06-20 16:22:41 -04:00
Danny Avila
e97444a863 chore: address ESLint Warnings 2025-06-20 16:22:40 -04:00
Danny Avila
717f61d878 ci: enhance GraphApiService tests with additional logger mocks
- Added mock implementation for logger methods in GraphApiService tests to improve error and debug logging during test execution.
- Ensured existing mocks remain intact while enhancing test coverage and clarity.
2025-06-20 16:22:40 -04:00
Danny Avila
dbb234d3bf ci: enhance GraphApiService tests with MongoDB in-memory server
- Updated test setup to use MongoDB in-memory server for isolated testing.
- Refactored beforeEach to beforeAll for database connection management.
- Cleared database before each test to ensure a clean state.
- Retained existing mocks while improving test structure for better clarity.
2025-06-20 16:22:39 -04:00
Danny Avila
718af1ada1 ci: enhance AgentFooter tests with improved mocks and permission handling
- Updated mocks for `useWatch`, `useAuthContext`, `useHasAccess`, and `useResourcePermissions` to streamline test setup.
- Adjusted assertions to reflect changes in UI based on agent ID and user roles.
- Replaced `share-agent` component with `grant-access-dialog` in tests to align with recent UI updates.
- Added tests for handling null agent data and permissions loading scenarios.
2025-06-20 16:22:39 -04:00
Danny Avila
ee4cdaed20 refactor: remove unused mocks from GraphApiService tests 2025-06-20 16:22:39 -04:00
Danny Avila
f897420586 ci: add unit tests for access control middleware
- Introduced tests for the `canAccessAgentResource` middleware to validate permission checks for agent resources.
- Implemented tests for various scenarios including user roles, ACL entries, and permission levels.
- Added tests for the `checkAccess` function to ensure proper permission handling based on user roles and permissions.
- Utilized MongoDB in-memory server for isolated test environments.
2025-06-20 16:22:38 -04:00
Danny Avila
004f128aec ci: fix existing tests based off new permission handling
- Renamed test cases to reflect changes in permission checks being handled at the route level.
- Updated assertions to verify that agents are returned regardless of user permissions due to the new permission system.
- Adjusted mocks in AppService and PermissionService tests to ensure proper functionality without relying on actual implementations.
2025-06-20 16:22:38 -04:00
Danny Avila
c07a342c97 chore: remove unused translation keys from localization file 2025-06-20 16:22:38 -04:00
Danny Avila
fd64e2380e chore(data-schemas): add comprehensive README for data schemas package
- Introduced a detailed README.md file outlining the structure, architecture patterns, and best practices for the LibreChat Data Schemas package.
- Included guidelines for creating new entities, type definitions, schema files, model factory functions, and database methods.
- Added examples and common patterns to enhance understanding and usage of the package.
2025-06-20 16:22:37 -04:00
Danny Avila
3f82aed9eb fix: imports in migrate-agent-permissions.js 2025-06-20 16:22:37 -04:00
Danny Avila
0143ae5728 fix(data-schemas): use partial index for group idOnTheSource uniqueness
Replace sparse index with partial filter expression to allow multiple local groups
while maintaining unique constraint for external source IDs. The sparse option
on compound indexes doesn't work as expected when one field is always present.
2025-06-20 16:22:37 -04:00
Danny Avila
eed43e6662 feat: Add granular role-based permissions system with Entra ID integration
- Implement RBAC with viewer/editor/owner roles using bitwise permissions
      - Add AccessRole, AclEntry, and Group models for permission management
      - Create PermissionService for core permission logic and validation
      - Integrate Microsoft Graph API for Entra ID user/group search
      - Add middleware for resource access validation with custom ID resolvers
      - Implement bulk permission updates with transaction support
      - Create permission management UI with people picker and role selection
      - Add public sharing capabilities for resources
      - Include database migration for existing agent ownership
      - Support hybrid local/Entra ID identity management
      - Add comprehensive test coverage for all new services

chore: Update @librechat/data-schemas to version 0.0.9 and export common module in index.ts

fix: Update userGroup tests to mock logger correctly and change principalId expectation from null to undefined
2025-06-20 16:22:36 -04:00
294 changed files with 16739 additions and 6783 deletions

View File

@@ -58,7 +58,7 @@ DEBUG_CONSOLE=false
# Endpoints #
#===================================================#
# ENDPOINTS=openAI,assistants,azureOpenAI,google,anthropic
# ENDPOINTS=openAI,assistants,azureOpenAI,google,gptPlugins,anthropic
PROXY=
@@ -142,10 +142,10 @@ GOOGLE_KEY=user_provided
# GOOGLE_AUTH_HEADER=true
# Gemini API (AI Studio)
# GOOGLE_MODELS=gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite-preview-06-17,gemini-2.0-flash,gemini-2.0-flash-lite
# GOOGLE_MODELS=gemini-2.5-pro-preview-05-06,gemini-2.5-flash-preview-04-17,gemini-2.0-flash-001,gemini-2.0-flash-exp,gemini-2.0-flash-lite-001,gemini-1.5-pro-002,gemini-1.5-flash-002
# Vertex AI
# GOOGLE_MODELS=gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite-preview-06-17,gemini-2.0-flash-001,gemini-2.0-flash-lite-001
# GOOGLE_MODELS=gemini-2.5-pro-preview-05-06,gemini-2.5-flash-preview-04-17,gemini-2.0-flash-001,gemini-2.0-flash-exp,gemini-2.0-flash-lite-001,gemini-1.5-pro-002,gemini-1.5-flash-002
# GOOGLE_TITLE_MODEL=gemini-2.0-flash-lite-001
@@ -453,8 +453,8 @@ OPENID_REUSE_TOKENS=
OPENID_JWKS_URL_CACHE_ENABLED=
OPENID_JWKS_URL_CACHE_TIME= # 600000 ms eq to 10 minutes leave empty to disable caching
#Set to true to trigger token exchange flow to acquire access token for the userinfo endpoint.
OPENID_ON_BEHALF_FLOW_FOR_USERINFO_REQUIRED=
OPENID_ON_BEHALF_FLOW_USERINFO_SCOPE="user.read" # example for Scope Needed for Microsoft Graph API
OPENID_ON_BEHALF_FLOW_FOR_USERINFRO_REQUIRED=
OPENID_ON_BEHALF_FLOW_USERINFRO_SCOPE = "user.read" # example for Scope Needed for Microsoft Graph API
# Set to true to use the OpenID Connect end session endpoint for logout
OPENID_USE_END_SESSION_ENDPOINT=
@@ -485,6 +485,21 @@ SAML_IMAGE_URL=
# SAML_USE_AUTHN_RESPONSE_SIGNED=
#===============================================#
# Microsoft Graph API / Entra ID Integration #
#===============================================#
# Enable Entra ID people search integration in permissions/sharing system
# When enabled, the people picker will search both local database and Entra ID
USE_ENTRA_ID_FOR_PEOPLE_SEARCH=false
# When enabled, entra id groups owners will be considered as members of the group
ENTRA_ID_INCLUDE_OWNERS_AS_MEMBERS=false
# Microsoft Graph API scopes needed for people/group search
# Default scopes provide access to user profiles and group memberships
OPENID_GRAPH_SCOPES=User.Read,People.Read,GroupMember.Read.All
# LDAP
LDAP_URL=
LDAP_BIND_DN=
@@ -657,4 +672,4 @@ OPENWEATHER_API_KEY=
# Reranker (Required)
# JINA_API_KEY=your_jina_api_key
# or
# COHERE_API_KEY=your_cohere_api_key
# COHERE_API_KEY=your_cohere_api_key

3
.vscode/launch.json vendored
View File

@@ -8,7 +8,8 @@
"skipFiles": ["<node_internals>/**"],
"program": "${workspaceFolder}/api/server/index.js",
"env": {
"NODE_ENV": "production"
"NODE_ENV": "production",
"NODE_TLS_REJECT_UNAUTHORIZED": "0"
},
"console": "integratedTerminal",
"envFile": "${workspaceFolder}/.env"

View File

@@ -792,8 +792,7 @@ class BaseClient {
userMessage.tokenCount = userMessageTokenCount;
/*
Note: `AgentController` saves the user message if not saved here
(noted by `savedMessageIds`), so we update the count of its `userMessage` reference
Note: `AskController` saves the user message, so we update the count of its `userMessage` reference
*/
if (typeof opts?.getReqData === 'function') {
opts.getReqData({
@@ -802,8 +801,7 @@ class BaseClient {
}
/*
Note: we update the user message to be sure it gets the calculated token count;
though `AgentController` saves the user message if not saved here
(noted by `savedMessageIds`), EditController does not
though `AskController` saves the user message, EditController does not
*/
await userMessagePromise;
await this.updateMessageInDatabase({

View File

@@ -0,0 +1,804 @@
const { Keyv } = require('keyv');
const crypto = require('crypto');
const { CohereClient } = require('cohere-ai');
const { fetchEventSource } = require('@waylaidwanderer/fetch-event-source');
const { constructAzureURL, genAzureChatCompletion } = require('@librechat/api');
const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
const {
ImageDetail,
EModelEndpoint,
resolveHeaders,
CohereConstants,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const { createContextHandlers } = require('./prompts');
const { createCoherePayload } = require('./llm');
const { extractBaseURL } = require('~/utils');
const BaseClient = require('./BaseClient');
const { logger } = require('~/config');
const CHATGPT_MODEL = 'gpt-3.5-turbo';
const tokenizersCache = {};
class ChatGPTClient extends BaseClient {
constructor(apiKey, options = {}, cacheOptions = {}) {
super(apiKey, options, cacheOptions);
cacheOptions.namespace = cacheOptions.namespace || 'chatgpt';
this.conversationsCache = new Keyv(cacheOptions);
this.setOptions(options);
}
setOptions(options) {
if (this.options && !this.options.replaceOptions) {
// nested options aren't spread properly, so we need to do this manually
this.options.modelOptions = {
...this.options.modelOptions,
...options.modelOptions,
};
delete options.modelOptions;
// now we can merge options
this.options = {
...this.options,
...options,
};
} else {
this.options = options;
}
if (this.options.openaiApiKey) {
this.apiKey = this.options.openaiApiKey;
}
const modelOptions = this.options.modelOptions || {};
this.modelOptions = {
...modelOptions,
// set some good defaults (check for undefined in some cases because they may be 0)
model: modelOptions.model || CHATGPT_MODEL,
temperature: typeof modelOptions.temperature === 'undefined' ? 0.8 : modelOptions.temperature,
top_p: typeof modelOptions.top_p === 'undefined' ? 1 : modelOptions.top_p,
presence_penalty:
typeof modelOptions.presence_penalty === 'undefined' ? 1 : modelOptions.presence_penalty,
stop: modelOptions.stop,
};
this.isChatGptModel = this.modelOptions.model.includes('gpt-');
const { isChatGptModel } = this;
this.isUnofficialChatGptModel =
this.modelOptions.model.startsWith('text-chat') ||
this.modelOptions.model.startsWith('text-davinci-002-render');
const { isUnofficialChatGptModel } = this;
// Davinci models have a max context length of 4097 tokens.
this.maxContextTokens = this.options.maxContextTokens || (isChatGptModel ? 4095 : 4097);
// I decided to reserve 1024 tokens for the response.
// The max prompt tokens is determined by the max context tokens minus the max response tokens.
// Earlier messages will be dropped until the prompt is within the limit.
this.maxResponseTokens = this.modelOptions.max_tokens || 1024;
this.maxPromptTokens =
this.options.maxPromptTokens || this.maxContextTokens - this.maxResponseTokens;
if (this.maxPromptTokens + this.maxResponseTokens > this.maxContextTokens) {
throw new Error(
`maxPromptTokens + max_tokens (${this.maxPromptTokens} + ${this.maxResponseTokens} = ${
this.maxPromptTokens + this.maxResponseTokens
}) must be less than or equal to maxContextTokens (${this.maxContextTokens})`,
);
}
this.userLabel = this.options.userLabel || 'User';
this.chatGptLabel = this.options.chatGptLabel || 'ChatGPT';
if (isChatGptModel) {
// Use these faux tokens to help the AI understand the context since we are building the chat log ourselves.
// Trying to use "<|im_start|>" causes the AI to still generate "<" or "<|" at the end sometimes for some reason,
// without tripping the stop sequences, so I'm using "||>" instead.
this.startToken = '||>';
this.endToken = '';
this.gptEncoder = this.constructor.getTokenizer('cl100k_base');
} else if (isUnofficialChatGptModel) {
this.startToken = '<|im_start|>';
this.endToken = '<|im_end|>';
this.gptEncoder = this.constructor.getTokenizer('text-davinci-003', true, {
'<|im_start|>': 100264,
'<|im_end|>': 100265,
});
} else {
// Previously I was trying to use "<|endoftext|>" but there seems to be some bug with OpenAI's token counting
// system that causes only the first "<|endoftext|>" to be counted as 1 token, and the rest are not treated
// as a single token. So we're using this instead.
this.startToken = '||>';
this.endToken = '';
try {
this.gptEncoder = this.constructor.getTokenizer(this.modelOptions.model, true);
} catch {
this.gptEncoder = this.constructor.getTokenizer('text-davinci-003', true);
}
}
if (!this.modelOptions.stop) {
const stopTokens = [this.startToken];
if (this.endToken && this.endToken !== this.startToken) {
stopTokens.push(this.endToken);
}
stopTokens.push(`\n${this.userLabel}:`);
stopTokens.push('<|diff_marker|>');
// I chose not to do one for `chatGptLabel` because I've never seen it happen
this.modelOptions.stop = stopTokens;
}
if (this.options.reverseProxyUrl) {
this.completionsUrl = this.options.reverseProxyUrl;
} else if (isChatGptModel) {
this.completionsUrl = 'https://api.openai.com/v1/chat/completions';
} else {
this.completionsUrl = 'https://api.openai.com/v1/completions';
}
return this;
}
static getTokenizer(encoding, isModelName = false, extendSpecialTokens = {}) {
if (tokenizersCache[encoding]) {
return tokenizersCache[encoding];
}
let tokenizer;
if (isModelName) {
tokenizer = encodingForModel(encoding, extendSpecialTokens);
} else {
tokenizer = getEncoding(encoding, extendSpecialTokens);
}
tokenizersCache[encoding] = tokenizer;
return tokenizer;
}
/** @type {getCompletion} */
async getCompletion(input, onProgress, onTokenProgress, abortController = null) {
if (!abortController) {
abortController = new AbortController();
}
let modelOptions = { ...this.modelOptions };
if (typeof onProgress === 'function') {
modelOptions.stream = true;
}
if (this.isChatGptModel) {
modelOptions.messages = input;
} else {
modelOptions.prompt = input;
}
if (this.useOpenRouter && modelOptions.prompt) {
delete modelOptions.stop;
}
const { debug } = this.options;
let baseURL = this.completionsUrl;
if (debug) {
console.debug();
console.debug(baseURL);
console.debug(modelOptions);
console.debug();
}
const opts = {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
};
if (this.isVisionModel) {
modelOptions.max_tokens = 4000;
}
/** @type {TAzureConfig | undefined} */
const azureConfig = this.options?.req?.app?.locals?.[EModelEndpoint.azureOpenAI];
const isAzure = this.azure || this.options.azure;
if (
(isAzure && this.isVisionModel && azureConfig) ||
(azureConfig && this.isVisionModel && this.options.endpoint === EModelEndpoint.azureOpenAI)
) {
const { modelGroupMap, groupMap } = azureConfig;
const {
azureOptions,
baseURL,
headers = {},
serverless,
} = mapModelToAzureConfig({
modelName: modelOptions.model,
modelGroupMap,
groupMap,
});
opts.headers = resolveHeaders(headers);
this.langchainProxy = extractBaseURL(baseURL);
this.apiKey = azureOptions.azureOpenAIApiKey;
const groupName = modelGroupMap[modelOptions.model].group;
this.options.addParams = azureConfig.groupMap[groupName].addParams;
this.options.dropParams = azureConfig.groupMap[groupName].dropParams;
// Note: `forcePrompt` not re-assigned as only chat models are vision models
this.azure = !serverless && azureOptions;
this.azureEndpoint =
!serverless && genAzureChatCompletion(this.azure, modelOptions.model, this);
if (serverless === true) {
this.options.defaultQuery = azureOptions.azureOpenAIApiVersion
? { 'api-version': azureOptions.azureOpenAIApiVersion }
: undefined;
this.options.headers['api-key'] = this.apiKey;
}
}
if (this.options.defaultQuery) {
opts.defaultQuery = this.options.defaultQuery;
}
if (this.options.headers) {
opts.headers = { ...opts.headers, ...this.options.headers };
}
if (isAzure) {
// Azure does not accept `model` in the body, so we need to remove it.
delete modelOptions.model;
baseURL = this.langchainProxy
? constructAzureURL({
baseURL: this.langchainProxy,
azureOptions: this.azure,
})
: this.azureEndpoint.split(/(?<!\/)\/(chat|completion)\//)[0];
if (this.options.forcePrompt) {
baseURL += '/completions';
} else {
baseURL += '/chat/completions';
}
opts.defaultQuery = { 'api-version': this.azure.azureOpenAIApiVersion };
opts.headers = { ...opts.headers, 'api-key': this.apiKey };
} else if (this.apiKey) {
opts.headers.Authorization = `Bearer ${this.apiKey}`;
}
if (process.env.OPENAI_ORGANIZATION) {
opts.headers['OpenAI-Organization'] = process.env.OPENAI_ORGANIZATION;
}
if (this.useOpenRouter) {
opts.headers['HTTP-Referer'] = 'https://librechat.ai';
opts.headers['X-Title'] = 'LibreChat';
}
/* hacky fixes for Mistral AI API:
- Re-orders system message to the top of the messages payload, as not allowed anywhere else
- If there is only one message and it's a system message, change the role to user
*/
if (baseURL.includes('https://api.mistral.ai/v1') && modelOptions.messages) {
const { messages } = modelOptions;
const systemMessageIndex = messages.findIndex((msg) => msg.role === 'system');
if (systemMessageIndex > 0) {
const [systemMessage] = messages.splice(systemMessageIndex, 1);
messages.unshift(systemMessage);
}
modelOptions.messages = messages;
if (messages.length === 1 && messages[0].role === 'system') {
modelOptions.messages[0].role = 'user';
}
}
if (this.options.addParams && typeof this.options.addParams === 'object') {
modelOptions = {
...modelOptions,
...this.options.addParams,
};
logger.debug('[ChatGPTClient] chatCompletion: added params', {
addParams: this.options.addParams,
modelOptions,
});
}
if (this.options.dropParams && Array.isArray(this.options.dropParams)) {
this.options.dropParams.forEach((param) => {
delete modelOptions[param];
});
logger.debug('[ChatGPTClient] chatCompletion: dropped params', {
dropParams: this.options.dropParams,
modelOptions,
});
}
if (baseURL.startsWith(CohereConstants.API_URL)) {
const payload = createCoherePayload({ modelOptions });
return await this.cohereChatCompletion({ payload, onTokenProgress });
}
if (baseURL.includes('v1') && !baseURL.includes('/completions') && !this.isChatCompletion) {
baseURL = baseURL.split('v1')[0] + 'v1/completions';
} else if (
baseURL.includes('v1') &&
!baseURL.includes('/chat/completions') &&
this.isChatCompletion
) {
baseURL = baseURL.split('v1')[0] + 'v1/chat/completions';
}
const BASE_URL = new URL(baseURL);
if (opts.defaultQuery) {
Object.entries(opts.defaultQuery).forEach(([key, value]) => {
BASE_URL.searchParams.append(key, value);
});
delete opts.defaultQuery;
}
const completionsURL = BASE_URL.toString();
opts.body = JSON.stringify(modelOptions);
if (modelOptions.stream) {
return new Promise(async (resolve, reject) => {
try {
let done = false;
await fetchEventSource(completionsURL, {
...opts,
signal: abortController.signal,
async onopen(response) {
if (response.status === 200) {
return;
}
if (debug) {
console.debug(response);
}
let error;
try {
const body = await response.text();
error = new Error(`Failed to send message. HTTP ${response.status} - ${body}`);
error.status = response.status;
error.json = JSON.parse(body);
} catch {
error = error || new Error(`Failed to send message. HTTP ${response.status}`);
}
throw error;
},
onclose() {
if (debug) {
console.debug('Server closed the connection unexpectedly, returning...');
}
// workaround for private API not sending [DONE] event
if (!done) {
onProgress('[DONE]');
resolve();
}
},
onerror(err) {
if (debug) {
console.debug(err);
}
// rethrow to stop the operation
throw err;
},
onmessage(message) {
if (debug) {
console.debug(message);
}
if (!message.data || message.event === 'ping') {
return;
}
if (message.data === '[DONE]') {
onProgress('[DONE]');
resolve();
done = true;
return;
}
onProgress(JSON.parse(message.data));
},
});
} catch (err) {
reject(err);
}
});
}
const response = await fetch(completionsURL, {
...opts,
signal: abortController.signal,
});
if (response.status !== 200) {
const body = await response.text();
const error = new Error(`Failed to send message. HTTP ${response.status} - ${body}`);
error.status = response.status;
try {
error.json = JSON.parse(body);
} catch {
error.body = body;
}
throw error;
}
return response.json();
}
/** @type {cohereChatCompletion} */
async cohereChatCompletion({ payload, onTokenProgress }) {
const cohere = new CohereClient({
token: this.apiKey,
environment: this.completionsUrl,
});
if (!payload.stream) {
const chatResponse = await cohere.chat(payload);
return chatResponse.text;
}
const chatStream = await cohere.chatStream(payload);
let reply = '';
for await (const message of chatStream) {
if (!message) {
continue;
}
if (message.eventType === 'text-generation' && message.text) {
onTokenProgress(message.text);
reply += message.text;
}
/*
Cohere API Chinese Unicode character replacement hotfix.
Should be un-commented when the following issue is resolved:
https://github.com/cohere-ai/cohere-typescript/issues/151
else if (message.eventType === 'stream-end' && message.response) {
reply = message.response.text;
}
*/
}
return reply;
}
async generateTitle(userMessage, botMessage) {
const instructionsPayload = {
role: 'system',
content: `Write an extremely concise subtitle for this conversation with no more than a few words. All words should be capitalized. Exclude punctuation.
||>Message:
${userMessage.message}
||>Response:
${botMessage.message}
||>Title:`,
};
const titleGenClientOptions = JSON.parse(JSON.stringify(this.options));
titleGenClientOptions.modelOptions = {
model: 'gpt-3.5-turbo',
temperature: 0,
presence_penalty: 0,
frequency_penalty: 0,
};
const titleGenClient = new ChatGPTClient(this.apiKey, titleGenClientOptions);
const result = await titleGenClient.getCompletion([instructionsPayload], null);
// remove any non-alphanumeric characters, replace multiple spaces with 1, and then trim
return result.choices[0].message.content
.replace(/[^a-zA-Z0-9' ]/g, '')
.replace(/\s+/g, ' ')
.trim();
}
async sendMessage(message, opts = {}) {
if (opts.clientOptions && typeof opts.clientOptions === 'object') {
this.setOptions(opts.clientOptions);
}
const conversationId = opts.conversationId || crypto.randomUUID();
const parentMessageId = opts.parentMessageId || crypto.randomUUID();
let conversation =
typeof opts.conversation === 'object'
? opts.conversation
: await this.conversationsCache.get(conversationId);
let isNewConversation = false;
if (!conversation) {
conversation = {
messages: [],
createdAt: Date.now(),
};
isNewConversation = true;
}
const shouldGenerateTitle = opts.shouldGenerateTitle && isNewConversation;
const userMessage = {
id: crypto.randomUUID(),
parentMessageId,
role: 'User',
message,
};
conversation.messages.push(userMessage);
// Doing it this way instead of having each message be a separate element in the array seems to be more reliable,
// especially when it comes to keeping the AI in character. It also seems to improve coherency and context retention.
const { prompt: payload, context } = await this.buildPrompt(
conversation.messages,
userMessage.id,
{
isChatGptModel: this.isChatGptModel,
promptPrefix: opts.promptPrefix,
},
);
if (this.options.keepNecessaryMessagesOnly) {
conversation.messages = context;
}
let reply = '';
let result = null;
if (typeof opts.onProgress === 'function') {
await this.getCompletion(
payload,
(progressMessage) => {
if (progressMessage === '[DONE]') {
return;
}
const token = this.isChatGptModel
? progressMessage.choices[0].delta.content
: progressMessage.choices[0].text;
// first event's delta content is always undefined
if (!token) {
return;
}
if (this.options.debug) {
console.debug(token);
}
if (token === this.endToken) {
return;
}
opts.onProgress(token);
reply += token;
},
opts.abortController || new AbortController(),
);
} else {
result = await this.getCompletion(
payload,
null,
opts.abortController || new AbortController(),
);
if (this.options.debug) {
console.debug(JSON.stringify(result));
}
if (this.isChatGptModel) {
reply = result.choices[0].message.content;
} else {
reply = result.choices[0].text.replace(this.endToken, '');
}
}
// avoids some rendering issues when using the CLI app
if (this.options.debug) {
console.debug();
}
reply = reply.trim();
const replyMessage = {
id: crypto.randomUUID(),
parentMessageId: userMessage.id,
role: 'ChatGPT',
message: reply,
};
conversation.messages.push(replyMessage);
const returnData = {
response: replyMessage.message,
conversationId,
parentMessageId: replyMessage.parentMessageId,
messageId: replyMessage.id,
details: result || {},
};
if (shouldGenerateTitle) {
conversation.title = await this.generateTitle(userMessage, replyMessage);
returnData.title = conversation.title;
}
await this.conversationsCache.set(conversationId, conversation);
if (this.options.returnConversation) {
returnData.conversation = conversation;
}
return returnData;
}
async buildPrompt(messages, { isChatGptModel = false, promptPrefix = null }) {
promptPrefix = (promptPrefix || this.options.promptPrefix || '').trim();
// Handle attachments and create augmentedPrompt
if (this.options.attachments) {
const attachments = await this.options.attachments;
const lastMessage = messages[messages.length - 1];
if (this.message_file_map) {
this.message_file_map[lastMessage.messageId] = attachments;
} else {
this.message_file_map = {
[lastMessage.messageId]: attachments,
};
}
const files = await this.addImageURLs(lastMessage, attachments);
this.options.attachments = files;
this.contextHandlers = createContextHandlers(this.options.req, lastMessage.text);
}
if (this.message_file_map) {
this.contextHandlers = createContextHandlers(
this.options.req,
messages[messages.length - 1].text,
);
}
// Calculate image token cost and process embedded files
messages.forEach((message, i) => {
if (this.message_file_map && this.message_file_map[message.messageId]) {
const attachments = this.message_file_map[message.messageId];
for (const file of attachments) {
if (file.embedded) {
this.contextHandlers?.processFile(file);
continue;
}
messages[i].tokenCount =
(messages[i].tokenCount || 0) +
this.calculateImageTokenCost({
width: file.width,
height: file.height,
detail: this.options.imageDetail ?? ImageDetail.auto,
});
}
}
});
if (this.contextHandlers) {
this.augmentedPrompt = await this.contextHandlers.createContext();
promptPrefix = this.augmentedPrompt + promptPrefix;
}
if (promptPrefix) {
// If the prompt prefix doesn't end with the end token, add it.
if (!promptPrefix.endsWith(`${this.endToken}`)) {
promptPrefix = `${promptPrefix.trim()}${this.endToken}\n\n`;
}
promptPrefix = `${this.startToken}Instructions:\n${promptPrefix}`;
}
const promptSuffix = `${this.startToken}${this.chatGptLabel}:\n`; // Prompt ChatGPT to respond.
const instructionsPayload = {
role: 'system',
content: promptPrefix,
};
const messagePayload = {
role: 'system',
content: promptSuffix,
};
let currentTokenCount;
if (isChatGptModel) {
currentTokenCount =
this.getTokenCountForMessage(instructionsPayload) +
this.getTokenCountForMessage(messagePayload);
} else {
currentTokenCount = this.getTokenCount(`${promptPrefix}${promptSuffix}`);
}
let promptBody = '';
const maxTokenCount = this.maxPromptTokens;
const context = [];
// Iterate backwards through the messages, adding them to the prompt until we reach the max token count.
// Do this within a recursive async function so that it doesn't block the event loop for too long.
const buildPromptBody = async () => {
if (currentTokenCount < maxTokenCount && messages.length > 0) {
const message = messages.pop();
const roleLabel =
message?.isCreatedByUser || message?.role?.toLowerCase() === 'user'
? this.userLabel
: this.chatGptLabel;
const messageString = `${this.startToken}${roleLabel}:\n${
message?.text ?? message?.message
}${this.endToken}\n`;
let newPromptBody;
if (promptBody || isChatGptModel) {
newPromptBody = `${messageString}${promptBody}`;
} else {
// Always insert prompt prefix before the last user message, if not gpt-3.5-turbo.
// This makes the AI obey the prompt instructions better, which is important for custom instructions.
// After a bunch of testing, it doesn't seem to cause the AI any confusion, even if you ask it things
// like "what's the last thing I wrote?".
newPromptBody = `${promptPrefix}${messageString}${promptBody}`;
}
context.unshift(message);
const tokenCountForMessage = this.getTokenCount(messageString);
const newTokenCount = currentTokenCount + tokenCountForMessage;
if (newTokenCount > maxTokenCount) {
if (promptBody) {
// This message would put us over the token limit, so don't add it.
return false;
}
// This is the first message, so we can't add it. Just throw an error.
throw new Error(
`Prompt is too long. Max token count is ${maxTokenCount}, but prompt is ${newTokenCount} tokens long.`,
);
}
promptBody = newPromptBody;
currentTokenCount = newTokenCount;
// wait for next tick to avoid blocking the event loop
await new Promise((resolve) => setImmediate(resolve));
return buildPromptBody();
}
return true;
};
await buildPromptBody();
const prompt = `${promptBody}${promptSuffix}`;
if (isChatGptModel) {
messagePayload.content = prompt;
// Add 3 tokens for Assistant Label priming after all messages have been counted.
currentTokenCount += 3;
}
// Use up to `this.maxContextTokens` tokens (prompt + response), but try to leave `this.maxTokens` tokens for the response.
this.modelOptions.max_tokens = Math.min(
this.maxContextTokens - currentTokenCount,
this.maxResponseTokens,
);
if (isChatGptModel) {
return { prompt: [instructionsPayload, messagePayload], context };
}
return { prompt, context, promptTokens: currentTokenCount };
}
getTokenCount(text) {
return this.gptEncoder.encode(text, 'all').length;
}
/**
* Algorithm adapted from "6. Counting tokens for chat API calls" of
* https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
*
* An additional 3 tokens need to be added for assistant label priming after all messages have been counted.
*
* @param {Object} message
*/
getTokenCountForMessage(message) {
// Note: gpt-3.5-turbo and gpt-4 may update over time. Use default for these as well as for unknown models
let tokensPerMessage = 3;
let tokensPerName = 1;
if (this.modelOptions.model === 'gpt-3.5-turbo-0301') {
tokensPerMessage = 4;
tokensPerName = -1;
}
let numTokens = tokensPerMessage;
for (let [key, value] of Object.entries(message)) {
numTokens += this.getTokenCount(value);
if (key === 'name') {
numTokens += tokensPerName;
}
}
return numTokens;
}
}
module.exports = ChatGPTClient;

View File

@@ -1,7 +1,7 @@
const { google } = require('googleapis');
const { Tokenizer } = require('@librechat/api');
const { concat } = require('@langchain/core/utils/stream');
const { ChatVertexAI } = require('@langchain/google-vertexai');
const { Tokenizer, getSafetySettings } = require('@librechat/api');
const { ChatGoogleGenerativeAI } = require('@langchain/google-genai');
const { GoogleGenerativeAI: GenAI } = require('@google/generative-ai');
const { HumanMessage, SystemMessage } = require('@langchain/core/messages');
@@ -12,13 +12,13 @@ const {
endpointSettings,
parseTextParts,
EModelEndpoint,
googleSettings,
ContentTypes,
VisionModes,
ErrorTypes,
Constants,
AuthKeys,
} = require('librechat-data-provider');
const { getSafetySettings } = require('~/server/services/Endpoints/google/llm');
const { encodeAndFormat } = require('~/server/services/Files/images');
const { spendTokens } = require('~/models/spendTokens');
const { getModelMaxTokens } = require('~/utils');
@@ -166,16 +166,6 @@ class GoogleClient extends BaseClient {
);
}
// Add thinking configuration
this.modelOptions.thinkingConfig = {
thinkingBudget:
(this.modelOptions.thinking ?? googleSettings.thinking.default)
? this.modelOptions.thinkingBudget
: 0,
};
delete this.modelOptions.thinking;
delete this.modelOptions.thinkingBudget;
this.sender =
this.options.sender ??
getResponseSender({

View File

@@ -5,7 +5,6 @@ const {
isEnabled,
Tokenizer,
createFetch,
resolveHeaders,
constructAzureURL,
genAzureChatCompletion,
createStreamEventHandlers,
@@ -16,6 +15,7 @@ const {
ContentTypes,
parseTextParts,
EModelEndpoint,
resolveHeaders,
KnownEndpoints,
openAISettings,
ImageDetailCost,
@@ -37,6 +37,7 @@ const { addSpaceIfNeeded, sleep } = require('~/server/utils');
const { spendTokens } = require('~/models/spendTokens');
const { handleOpenAIErrors } = require('./tools/util');
const { createLLM, RunManager } = require('./llm');
const ChatGPTClient = require('./ChatGPTClient');
const { summaryBuffer } = require('./memory');
const { runTitleChain } = require('./chains');
const { tokenSplit } = require('./document');
@@ -46,6 +47,12 @@ const { logger } = require('~/config');
class OpenAIClient extends BaseClient {
constructor(apiKey, options = {}) {
super(apiKey, options);
this.ChatGPTClient = new ChatGPTClient();
this.buildPrompt = this.ChatGPTClient.buildPrompt.bind(this);
/** @type {getCompletion} */
this.getCompletion = this.ChatGPTClient.getCompletion.bind(this);
/** @type {cohereChatCompletion} */
this.cohereChatCompletion = this.ChatGPTClient.cohereChatCompletion.bind(this);
this.contextStrategy = options.contextStrategy
? options.contextStrategy.toLowerCase()
: 'discard';
@@ -372,12 +379,23 @@ class OpenAIClient extends BaseClient {
return files;
}
async buildMessages(messages, parentMessageId, { promptPrefix = null }, opts) {
async buildMessages(
messages,
parentMessageId,
{ isChatCompletion = false, promptPrefix = null },
opts,
) {
let orderedMessages = this.constructor.getMessagesForConversation({
messages,
parentMessageId,
summary: this.shouldSummarize,
});
if (!isChatCompletion) {
return await this.buildPrompt(orderedMessages, {
isChatGptModel: isChatCompletion,
promptPrefix,
});
}
let payload;
let instructions;

View File

@@ -0,0 +1,542 @@
const OpenAIClient = require('./OpenAIClient');
const { CallbackManager } = require('@langchain/core/callbacks/manager');
const { BufferMemory, ChatMessageHistory } = require('langchain/memory');
const { addImages, buildErrorInput, buildPromptPrefix } = require('./output_parsers');
const { initializeCustomAgent, initializeFunctionsAgent } = require('./agents');
const { processFileURL } = require('~/server/services/Files/process');
const { EModelEndpoint } = require('librechat-data-provider');
const { checkBalance } = require('~/models/balanceMethods');
const { formatLangChainMessages } = require('./prompts');
const { extractBaseURL } = require('~/utils');
const { loadTools } = require('./tools/util');
const { logger } = require('~/config');
class PluginsClient extends OpenAIClient {
constructor(apiKey, options = {}) {
super(apiKey, options);
this.sender = options.sender ?? 'Assistant';
this.tools = [];
this.actions = [];
this.setOptions(options);
this.openAIApiKey = this.apiKey;
this.executor = null;
}
setOptions(options) {
this.agentOptions = { ...options.agentOptions };
this.functionsAgent = this.agentOptions?.agent === 'functions';
this.agentIsGpt3 = this.agentOptions?.model?.includes('gpt-3');
super.setOptions(options);
this.isGpt3 = this.modelOptions?.model?.includes('gpt-3');
if (this.options.reverseProxyUrl) {
this.langchainProxy = extractBaseURL(this.options.reverseProxyUrl);
}
}
getSaveOptions() {
return {
artifacts: this.options.artifacts,
chatGptLabel: this.options.chatGptLabel,
modelLabel: this.options.modelLabel,
promptPrefix: this.options.promptPrefix,
tools: this.options.tools,
...this.modelOptions,
agentOptions: this.agentOptions,
iconURL: this.options.iconURL,
greeting: this.options.greeting,
spec: this.options.spec,
};
}
saveLatestAction(action) {
this.actions.push(action);
}
getFunctionModelName(input) {
if (/-(?!0314)\d{4}/.test(input)) {
return input;
} else if (input.includes('gpt-3.5-turbo')) {
return 'gpt-3.5-turbo';
} else if (input.includes('gpt-4')) {
return 'gpt-4';
} else {
return 'gpt-3.5-turbo';
}
}
getBuildMessagesOptions(opts) {
return {
isChatCompletion: true,
promptPrefix: opts.promptPrefix,
abortController: opts.abortController,
};
}
async initialize({ user, message, onAgentAction, onChainEnd, signal }) {
const modelOptions = {
modelName: this.agentOptions.model,
temperature: this.agentOptions.temperature,
};
const model = this.initializeLLM({
...modelOptions,
context: 'plugins',
initialMessageCount: this.currentMessages.length + 1,
});
logger.debug(
`[PluginsClient] Agent Model: ${model.modelName} | Temp: ${model.temperature} | Functions: ${this.functionsAgent}`,
);
// Map Messages to Langchain format
const pastMessages = formatLangChainMessages(this.currentMessages.slice(0, -1), {
userName: this.options?.name,
});
logger.debug('[PluginsClient] pastMessages: ' + pastMessages.length);
// TODO: use readOnly memory, TokenBufferMemory? (both unavailable in LangChainJS)
const memory = new BufferMemory({
llm: model,
chatHistory: new ChatMessageHistory(pastMessages),
});
const { loadedTools } = await loadTools({
user,
model,
tools: this.options.tools,
functions: this.functionsAgent,
options: {
memory,
signal: this.abortController.signal,
openAIApiKey: this.openAIApiKey,
conversationId: this.conversationId,
fileStrategy: this.options.req.app.locals.fileStrategy,
processFileURL,
message,
},
useSpecs: true,
});
if (loadedTools.length === 0) {
return;
}
this.tools = loadedTools;
logger.debug('[PluginsClient] Requested Tools', this.options.tools);
logger.debug(
'[PluginsClient] Loaded Tools',
this.tools.map((tool) => tool.name),
);
const handleAction = (action, runId, callback = null) => {
this.saveLatestAction(action);
logger.debug('[PluginsClient] Latest Agent Action ', this.actions[this.actions.length - 1]);
if (typeof callback === 'function') {
callback(action, runId);
}
};
// initialize agent
const initializer = this.functionsAgent ? initializeFunctionsAgent : initializeCustomAgent;
let customInstructions = (this.options.promptPrefix ?? '').trim();
if (typeof this.options.artifactsPrompt === 'string' && this.options.artifactsPrompt) {
customInstructions = `${customInstructions ?? ''}\n${this.options.artifactsPrompt}`.trim();
}
this.executor = await initializer({
model,
signal,
pastMessages,
tools: this.tools,
customInstructions,
verbose: this.options.debug,
returnIntermediateSteps: true,
customName: this.options.chatGptLabel,
currentDateString: this.currentDateString,
callbackManager: CallbackManager.fromHandlers({
async handleAgentAction(action, runId) {
handleAction(action, runId, onAgentAction);
},
async handleChainEnd(action) {
if (typeof onChainEnd === 'function') {
onChainEnd(action);
}
},
}),
});
logger.debug('[PluginsClient] Loaded agent.');
}
async executorCall(message, { signal, stream, onToolStart, onToolEnd }) {
let errorMessage = '';
const maxAttempts = 1;
for (let attempts = 1; attempts <= maxAttempts; attempts++) {
const errorInput = buildErrorInput({
message,
errorMessage,
actions: this.actions,
functionsAgent: this.functionsAgent,
});
const input = attempts > 1 ? errorInput : message;
logger.debug(`[PluginsClient] Attempt ${attempts} of ${maxAttempts}`);
if (errorMessage.length > 0) {
logger.debug('[PluginsClient] Caught error, input: ' + JSON.stringify(input));
}
try {
this.result = await this.executor.call({ input, signal }, [
{
async handleToolStart(...args) {
await onToolStart(...args);
},
async handleToolEnd(...args) {
await onToolEnd(...args);
},
async handleLLMEnd(output) {
const { generations } = output;
const { text } = generations[0][0];
if (text && typeof stream === 'function') {
await stream(text);
}
},
},
]);
break; // Exit the loop if the function call is successful
} catch (err) {
logger.error('[PluginsClient] executorCall error:', err);
if (attempts === maxAttempts) {
const { run } = this.runManager.getRunByConversationId(this.conversationId);
const defaultOutput = `Encountered an error while attempting to respond: ${err.message}`;
this.result.output = run && run.error ? run.error : defaultOutput;
this.result.errorMessage = run && run.error ? run.error : err.message;
this.result.intermediateSteps = this.actions;
break;
}
}
}
}
/**
*
* @param {TMessage} responseMessage
* @param {Partial<TMessage>} saveOptions
* @param {string} user
* @returns
*/
async handleResponseMessage(responseMessage, saveOptions, user) {
const { output, errorMessage, ...result } = this.result;
logger.debug('[PluginsClient][handleResponseMessage] Output:', {
output,
errorMessage,
...result,
});
const { error } = responseMessage;
if (!error) {
responseMessage.tokenCount = this.getTokenCountForResponse(responseMessage);
responseMessage.completionTokens = this.getTokenCount(responseMessage.text);
}
// Record usage only when completion is skipped as it is already recorded in the agent phase.
if (!this.agentOptions.skipCompletion && !error) {
await this.recordTokenUsage(responseMessage);
}
const databasePromise = this.saveMessageToDatabase(responseMessage, saveOptions, user);
delete responseMessage.tokenCount;
return { ...responseMessage, ...result, databasePromise };
}
async sendMessage(message, opts = {}) {
/** @type {Promise<TMessage>} */
let userMessagePromise;
/** @type {{ filteredTools: string[], includedTools: string[] }} */
const { filteredTools = [], includedTools = [] } = this.options.req.app.locals;
if (includedTools.length > 0) {
const tools = this.options.tools.filter((plugin) => includedTools.includes(plugin));
this.options.tools = tools;
} else {
const tools = this.options.tools.filter((plugin) => !filteredTools.includes(plugin));
this.options.tools = tools;
}
// If a message is edited, no tools can be used.
const completionMode = this.options.tools.length === 0 || opts.isEdited;
if (completionMode) {
this.setOptions(opts);
return super.sendMessage(message, opts);
}
logger.debug('[PluginsClient] sendMessage', { userMessageText: message, opts });
const {
user,
conversationId,
responseMessageId,
saveOptions,
userMessage,
onAgentAction,
onChainEnd,
onToolStart,
onToolEnd,
} = await this.handleStartMethods(message, opts);
if (opts.progressCallback) {
opts.onProgress = opts.progressCallback.call(null, {
...(opts.progressOptions ?? {}),
parentMessageId: userMessage.messageId,
messageId: responseMessageId,
});
}
this.currentMessages.push(userMessage);
let {
prompt: payload,
tokenCountMap,
promptTokens,
} = await this.buildMessages(
this.currentMessages,
userMessage.messageId,
this.getBuildMessagesOptions({
promptPrefix: null,
abortController: this.abortController,
}),
);
if (tokenCountMap) {
logger.debug('[PluginsClient] tokenCountMap', { tokenCountMap });
if (tokenCountMap[userMessage.messageId]) {
userMessage.tokenCount = tokenCountMap[userMessage.messageId];
logger.debug('[PluginsClient] userMessage.tokenCount', userMessage.tokenCount);
}
this.handleTokenCountMap(tokenCountMap);
}
this.result = {};
if (payload) {
this.currentMessages = payload;
}
if (!this.skipSaveUserMessage) {
userMessagePromise = this.saveMessageToDatabase(userMessage, saveOptions, user);
if (typeof opts?.getReqData === 'function') {
opts.getReqData({
userMessagePromise,
});
}
}
const balance = this.options.req?.app?.locals?.balance;
if (balance?.enabled) {
await checkBalance({
req: this.options.req,
res: this.options.res,
txData: {
user: this.user,
tokenType: 'prompt',
amount: promptTokens,
debug: this.options.debug,
model: this.modelOptions.model,
endpoint: EModelEndpoint.openAI,
},
});
}
const responseMessage = {
endpoint: EModelEndpoint.gptPlugins,
iconURL: this.options.iconURL,
messageId: responseMessageId,
conversationId,
parentMessageId: userMessage.messageId,
isCreatedByUser: false,
model: this.modelOptions.model,
sender: this.sender,
promptTokens,
};
await this.initialize({
user,
message,
onAgentAction,
onChainEnd,
signal: this.abortController.signal,
onProgress: opts.onProgress,
});
// const stream = async (text) => {
// await this.generateTextStream.call(this, text, opts.onProgress, { delay: 1 });
// };
await this.executorCall(message, {
signal: this.abortController.signal,
// stream,
onToolStart,
onToolEnd,
});
// If message was aborted mid-generation
if (this.result?.errorMessage?.length > 0 && this.result?.errorMessage?.includes('cancel')) {
responseMessage.text = 'Cancelled.';
return await this.handleResponseMessage(responseMessage, saveOptions, user);
}
// If error occurred during generation (likely token_balance)
if (this.result?.errorMessage?.length > 0) {
responseMessage.error = true;
responseMessage.text = this.result.output;
return await this.handleResponseMessage(responseMessage, saveOptions, user);
}
if (this.agentOptions.skipCompletion && this.result.output && this.functionsAgent) {
const partialText = opts.getPartialText();
const trimmedPartial = opts.getPartialText().replaceAll(':::plugin:::\n', '');
responseMessage.text =
trimmedPartial.length === 0 ? `${partialText}${this.result.output}` : partialText;
addImages(this.result.intermediateSteps, responseMessage);
await this.generateTextStream(this.result.output, opts.onProgress, { delay: 5 });
return await this.handleResponseMessage(responseMessage, saveOptions, user);
}
if (this.agentOptions.skipCompletion && this.result.output) {
responseMessage.text = this.result.output;
addImages(this.result.intermediateSteps, responseMessage);
await this.generateTextStream(this.result.output, opts.onProgress, { delay: 5 });
return await this.handleResponseMessage(responseMessage, saveOptions, user);
}
logger.debug('[PluginsClient] Completion phase: this.result', this.result);
const promptPrefix = buildPromptPrefix({
result: this.result,
message,
functionsAgent: this.functionsAgent,
});
logger.debug('[PluginsClient]', { promptPrefix });
payload = await this.buildCompletionPrompt({
messages: this.currentMessages,
promptPrefix,
});
logger.debug('[PluginsClient] buildCompletionPrompt Payload', payload);
responseMessage.text = await this.sendCompletion(payload, opts);
return await this.handleResponseMessage(responseMessage, saveOptions, user);
}
async buildCompletionPrompt({ messages, promptPrefix: _promptPrefix }) {
logger.debug('[PluginsClient] buildCompletionPrompt messages', messages);
const orderedMessages = messages;
let promptPrefix = _promptPrefix.trim();
// If the prompt prefix doesn't end with the end token, add it.
if (!promptPrefix.endsWith(`${this.endToken}`)) {
promptPrefix = `${promptPrefix.trim()}${this.endToken}\n\n`;
}
promptPrefix = `${this.startToken}Instructions:\n${promptPrefix}`;
const promptSuffix = `${this.startToken}${this.chatGptLabel ?? 'Assistant'}:\n`;
const instructionsPayload = {
role: 'system',
content: promptPrefix,
};
const messagePayload = {
role: 'system',
content: promptSuffix,
};
if (this.isGpt3) {
instructionsPayload.role = 'user';
messagePayload.role = 'user';
instructionsPayload.content += `\n${promptSuffix}`;
}
// testing if this works with browser endpoint
if (!this.isGpt3 && this.options.reverseProxyUrl) {
instructionsPayload.role = 'user';
}
let currentTokenCount =
this.getTokenCountForMessage(instructionsPayload) +
this.getTokenCountForMessage(messagePayload);
let promptBody = '';
const maxTokenCount = this.maxPromptTokens;
// Iterate backwards through the messages, adding them to the prompt until we reach the max token count.
// Do this within a recursive async function so that it doesn't block the event loop for too long.
const buildPromptBody = async () => {
if (currentTokenCount < maxTokenCount && orderedMessages.length > 0) {
const message = orderedMessages.pop();
const isCreatedByUser = message.isCreatedByUser || message.role?.toLowerCase() === 'user';
const roleLabel = isCreatedByUser ? this.userLabel : this.chatGptLabel;
let messageString = `${this.startToken}${roleLabel}:\n${
message.text ?? message.content ?? ''
}${this.endToken}\n`;
let newPromptBody = `${messageString}${promptBody}`;
const tokenCountForMessage = this.getTokenCount(messageString);
const newTokenCount = currentTokenCount + tokenCountForMessage;
if (newTokenCount > maxTokenCount) {
if (promptBody) {
// This message would put us over the token limit, so don't add it.
return false;
}
// This is the first message, so we can't add it. Just throw an error.
throw new Error(
`Prompt is too long. Max token count is ${maxTokenCount}, but prompt is ${newTokenCount} tokens long.`,
);
}
promptBody = newPromptBody;
currentTokenCount = newTokenCount;
// wait for next tick to avoid blocking the event loop
await new Promise((resolve) => setTimeout(resolve, 0));
return buildPromptBody();
}
return true;
};
await buildPromptBody();
const prompt = promptBody;
messagePayload.content = prompt;
// Add 2 tokens for metadata after all messages have been counted.
currentTokenCount += 2;
if (this.isGpt3 && messagePayload.content.length > 0) {
const context = 'Chat History:\n';
messagePayload.content = `${context}${prompt}`;
currentTokenCount += this.getTokenCount(context);
}
// Use up to `this.maxContextTokens` tokens (prompt + response), but try to leave `this.maxTokens` tokens for the response.
this.modelOptions.max_tokens = Math.min(
this.maxContextTokens - currentTokenCount,
this.maxResponseTokens,
);
if (this.isGpt3) {
messagePayload.content += promptSuffix;
return [instructionsPayload, messagePayload];
}
const result = [messagePayload, instructionsPayload];
if (this.functionsAgent && !this.isGpt3) {
result[1].content = `${result[1].content}\n${this.startToken}${this.chatGptLabel}:\nSure thing! Here is the output you requested:\n`;
}
return result.filter((message) => message.content.length > 0);
}
}
module.exports = PluginsClient;

View File

@@ -1,11 +1,15 @@
const ChatGPTClient = require('./ChatGPTClient');
const OpenAIClient = require('./OpenAIClient');
const PluginsClient = require('./PluginsClient');
const GoogleClient = require('./GoogleClient');
const TextStream = require('./TextStream');
const AnthropicClient = require('./AnthropicClient');
const toolUtils = require('./tools/util');
module.exports = {
ChatGPTClient,
OpenAIClient,
PluginsClient,
GoogleClient,
TextStream,
AnthropicClient,

View File

@@ -1,7 +1,6 @@
const axios = require('axios');
const { isEnabled } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { generateShortLivedToken } = require('~/server/services/AuthService');
const { isEnabled } = require('~/server/utils');
const { logger } = require('~/config');
const footer = `Use the context as your learned knowledge to better answer the user.
@@ -19,7 +18,7 @@ function createContextHandlers(req, userMessageContent) {
const queryPromises = [];
const processedFiles = [];
const processedIds = new Set();
const jwtToken = generateShortLivedToken(req.user.id);
const jwtToken = req.headers.authorization.split(' ')[1];
const useFullContext = isEnabled(process.env.RAG_USE_FULL_CONTEXT);
const query = async (file) => {
@@ -97,35 +96,35 @@ function createContextHandlers(req, userMessageContent) {
resolvedQueries.length === 0
? '\n\tThe semantic search did not return any results.'
: resolvedQueries
.map((queryResult, index) => {
const file = processedFiles[index];
let contextItems = queryResult.data;
.map((queryResult, index) => {
const file = processedFiles[index];
let contextItems = queryResult.data;
const generateContext = (currentContext) =>
`
const generateContext = (currentContext) =>
`
<file>
<filename>${file.filename}</filename>
<context>${currentContext}
</context>
</file>`;
if (useFullContext) {
return generateContext(`\n${contextItems}`);
}
if (useFullContext) {
return generateContext(`\n${contextItems}`);
}
contextItems = queryResult.data
.map((item) => {
const pageContent = item[0].page_content;
return `
contextItems = queryResult.data
.map((item) => {
const pageContent = item[0].page_content;
return `
<contextItem>
<![CDATA[${pageContent?.trim()}]]>
</contextItem>`;
})
.join('');
})
.join('');
return generateContext(contextItems);
})
.join('');
return generateContext(contextItems);
})
.join('');
if (useFullContext) {
const prompt = `${header}

View File

@@ -531,6 +531,44 @@ describe('OpenAIClient', () => {
});
});
describe('sendMessage/getCompletion/chatCompletion', () => {
afterEach(() => {
delete process.env.AZURE_OPENAI_DEFAULT_MODEL;
delete process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME;
});
it('should call getCompletion and fetchEventSource when using a text/instruct model', async () => {
const model = 'text-davinci-003';
const onProgress = jest.fn().mockImplementation(() => ({}));
const testClient = new OpenAIClient('test-api-key', {
...defaultOptions,
modelOptions: { model },
});
const getCompletion = jest.spyOn(testClient, 'getCompletion');
await testClient.sendMessage('Hi mom!', { onProgress });
expect(getCompletion).toHaveBeenCalled();
expect(getCompletion.mock.calls.length).toBe(1);
expect(getCompletion.mock.calls[0][0]).toBe('||>User:\nHi mom!\n||>Assistant:\n');
expect(fetchEventSource).toHaveBeenCalled();
expect(fetchEventSource.mock.calls.length).toBe(1);
// Check if the first argument (url) is correct
const firstCallArgs = fetchEventSource.mock.calls[0];
const expectedURL = 'https://api.openai.com/v1/completions';
expect(firstCallArgs[0]).toBe(expectedURL);
const requestBody = JSON.parse(firstCallArgs[1].body);
expect(requestBody).toHaveProperty('model');
expect(requestBody.model).toBe(model);
});
});
describe('checkVisionRequest functionality', () => {
let client;
const attachments = [{ type: 'image/png' }];

View File

@@ -0,0 +1,314 @@
const crypto = require('crypto');
const { Constants } = require('librechat-data-provider');
const { HumanMessage, AIMessage } = require('@langchain/core/messages');
const PluginsClient = require('../PluginsClient');
jest.mock('~/db/connect');
jest.mock('~/models/Conversation', () => {
return function () {
return {
save: jest.fn(),
deleteConvos: jest.fn(),
};
};
});
const defaultAzureOptions = {
azureOpenAIApiInstanceName: 'your-instance-name',
azureOpenAIApiDeploymentName: 'your-deployment-name',
azureOpenAIApiVersion: '2020-07-01-preview',
};
describe('PluginsClient', () => {
let TestAgent;
let options = {
tools: [],
modelOptions: {
model: 'gpt-3.5-turbo',
temperature: 0,
max_tokens: 2,
},
agentOptions: {
model: 'gpt-3.5-turbo',
},
};
let parentMessageId;
let conversationId;
const fakeMessages = [];
const userMessage = 'Hello, ChatGPT!';
const apiKey = 'fake-api-key';
beforeEach(() => {
TestAgent = new PluginsClient(apiKey, options);
TestAgent.loadHistory = jest
.fn()
.mockImplementation((conversationId, parentMessageId = null) => {
if (!conversationId) {
TestAgent.currentMessages = [];
return Promise.resolve([]);
}
const orderedMessages = TestAgent.constructor.getMessagesForConversation({
messages: fakeMessages,
parentMessageId,
});
const chatMessages = orderedMessages.map((msg) =>
msg?.isCreatedByUser || msg?.role?.toLowerCase() === 'user'
? new HumanMessage(msg.text)
: new AIMessage(msg.text),
);
TestAgent.currentMessages = orderedMessages;
return Promise.resolve(chatMessages);
});
TestAgent.sendMessage = jest.fn().mockImplementation(async (message, opts = {}) => {
if (opts && typeof opts === 'object') {
TestAgent.setOptions(opts);
}
const conversationId = opts.conversationId || crypto.randomUUID();
const parentMessageId = opts.parentMessageId || Constants.NO_PARENT;
const userMessageId = opts.overrideParentMessageId || crypto.randomUUID();
this.pastMessages = await TestAgent.loadHistory(
conversationId,
TestAgent.options?.parentMessageId,
);
const userMessage = {
text: message,
sender: 'ChatGPT',
isCreatedByUser: true,
messageId: userMessageId,
parentMessageId,
conversationId,
};
const response = {
sender: 'ChatGPT',
text: 'Hello, User!',
isCreatedByUser: false,
messageId: crypto.randomUUID(),
parentMessageId: userMessage.messageId,
conversationId,
};
fakeMessages.push(userMessage);
fakeMessages.push(response);
return response;
});
});
test('initializes PluginsClient without crashing', () => {
expect(TestAgent).toBeInstanceOf(PluginsClient);
});
test('check setOptions function', () => {
expect(TestAgent.agentIsGpt3).toBe(true);
});
describe('sendMessage', () => {
test('sendMessage should return a response message', async () => {
const expectedResult = expect.objectContaining({
sender: 'ChatGPT',
text: expect.any(String),
isCreatedByUser: false,
messageId: expect.any(String),
parentMessageId: expect.any(String),
conversationId: expect.any(String),
});
const response = await TestAgent.sendMessage(userMessage);
parentMessageId = response.messageId;
conversationId = response.conversationId;
expect(response).toEqual(expectedResult);
});
test('sendMessage should work with provided conversationId and parentMessageId', async () => {
const userMessage = 'Second message in the conversation';
const opts = {
conversationId,
parentMessageId,
};
const expectedResult = expect.objectContaining({
sender: 'ChatGPT',
text: expect.any(String),
isCreatedByUser: false,
messageId: expect.any(String),
parentMessageId: expect.any(String),
conversationId: opts.conversationId,
});
const response = await TestAgent.sendMessage(userMessage, opts);
parentMessageId = response.messageId;
expect(response.conversationId).toEqual(conversationId);
expect(response).toEqual(expectedResult);
});
test('should return chat history', async () => {
const chatMessages = await TestAgent.loadHistory(conversationId, parentMessageId);
expect(TestAgent.currentMessages).toHaveLength(4);
expect(chatMessages[0].text).toEqual(userMessage);
});
});
describe('getFunctionModelName', () => {
let client;
beforeEach(() => {
client = new PluginsClient('dummy_api_key');
});
test('should return the input when it includes a dash followed by four digits', () => {
expect(client.getFunctionModelName('-1234')).toBe('-1234');
expect(client.getFunctionModelName('gpt-4-5678-preview')).toBe('gpt-4-5678-preview');
});
test('should return the input for all function-capable models (`0613` models and above)', () => {
expect(client.getFunctionModelName('gpt-4-0613')).toBe('gpt-4-0613');
expect(client.getFunctionModelName('gpt-4-32k-0613')).toBe('gpt-4-32k-0613');
expect(client.getFunctionModelName('gpt-3.5-turbo-0613')).toBe('gpt-3.5-turbo-0613');
expect(client.getFunctionModelName('gpt-3.5-turbo-16k-0613')).toBe('gpt-3.5-turbo-16k-0613');
expect(client.getFunctionModelName('gpt-3.5-turbo-1106')).toBe('gpt-3.5-turbo-1106');
expect(client.getFunctionModelName('gpt-4-1106-preview')).toBe('gpt-4-1106-preview');
expect(client.getFunctionModelName('gpt-4-1106')).toBe('gpt-4-1106');
});
test('should return the corresponding model if input is non-function capable (`0314` models)', () => {
expect(client.getFunctionModelName('gpt-4-0314')).toBe('gpt-4');
expect(client.getFunctionModelName('gpt-4-32k-0314')).toBe('gpt-4');
expect(client.getFunctionModelName('gpt-3.5-turbo-0314')).toBe('gpt-3.5-turbo');
expect(client.getFunctionModelName('gpt-3.5-turbo-16k-0314')).toBe('gpt-3.5-turbo');
});
test('should return "gpt-3.5-turbo" when the input includes "gpt-3.5-turbo"', () => {
expect(client.getFunctionModelName('test gpt-3.5-turbo model')).toBe('gpt-3.5-turbo');
});
test('should return "gpt-4" when the input includes "gpt-4"', () => {
expect(client.getFunctionModelName('testing gpt-4')).toBe('gpt-4');
});
test('should return "gpt-3.5-turbo" for input that does not meet any specific condition', () => {
expect(client.getFunctionModelName('random string')).toBe('gpt-3.5-turbo');
expect(client.getFunctionModelName('')).toBe('gpt-3.5-turbo');
});
});
describe('Azure OpenAI tests specific to Plugins', () => {
// TODO: add more tests for Azure OpenAI integration with Plugins
// let client;
// beforeEach(() => {
// client = new PluginsClient('dummy_api_key');
// });
test('should not call getFunctionModelName when azure options are set', () => {
const spy = jest.spyOn(PluginsClient.prototype, 'getFunctionModelName');
const model = 'gpt-4-turbo';
// note, without the azure change in PR #1766, `getFunctionModelName` is called twice
const testClient = new PluginsClient('dummy_api_key', {
agentOptions: {
model,
agent: 'functions',
},
azure: defaultAzureOptions,
});
expect(spy).not.toHaveBeenCalled();
expect(testClient.agentOptions.model).toBe(model);
spy.mockRestore();
});
});
describe('sendMessage with filtered tools', () => {
let TestAgent;
const apiKey = 'fake-api-key';
const mockTools = [{ name: 'tool1' }, { name: 'tool2' }, { name: 'tool3' }, { name: 'tool4' }];
beforeEach(() => {
TestAgent = new PluginsClient(apiKey, {
tools: mockTools,
modelOptions: {
model: 'gpt-3.5-turbo',
temperature: 0,
max_tokens: 2,
},
agentOptions: {
model: 'gpt-3.5-turbo',
},
});
TestAgent.options.req = {
app: {
locals: {},
},
};
TestAgent.sendMessage = jest.fn().mockImplementation(async () => {
const { filteredTools = [], includedTools = [] } = TestAgent.options.req.app.locals;
if (includedTools.length > 0) {
const tools = TestAgent.options.tools.filter((plugin) =>
includedTools.includes(plugin.name),
);
TestAgent.options.tools = tools;
} else {
const tools = TestAgent.options.tools.filter(
(plugin) => !filteredTools.includes(plugin.name),
);
TestAgent.options.tools = tools;
}
return {
text: 'Mocked response',
tools: TestAgent.options.tools,
};
});
});
test('should filter out tools when filteredTools is provided', async () => {
TestAgent.options.req.app.locals.filteredTools = ['tool1', 'tool3'];
const response = await TestAgent.sendMessage('Test message');
expect(response.tools).toHaveLength(2);
expect(response.tools).toEqual(
expect.arrayContaining([
expect.objectContaining({ name: 'tool2' }),
expect.objectContaining({ name: 'tool4' }),
]),
);
});
test('should only include specified tools when includedTools is provided', async () => {
TestAgent.options.req.app.locals.includedTools = ['tool2', 'tool4'];
const response = await TestAgent.sendMessage('Test message');
expect(response.tools).toHaveLength(2);
expect(response.tools).toEqual(
expect.arrayContaining([
expect.objectContaining({ name: 'tool2' }),
expect.objectContaining({ name: 'tool4' }),
]),
);
});
test('should prioritize includedTools over filteredTools', async () => {
TestAgent.options.req.app.locals.filteredTools = ['tool1', 'tool3'];
TestAgent.options.req.app.locals.includedTools = ['tool1', 'tool2'];
const response = await TestAgent.sendMessage('Test message');
expect(response.tools).toHaveLength(2);
expect(response.tools).toEqual(
expect.arrayContaining([
expect.objectContaining({ name: 'tool1' }),
expect.objectContaining({ name: 'tool2' }),
]),
);
});
test('should not modify tools when no filters are provided', async () => {
const response = await TestAgent.sendMessage('Test message');
expect(response.tools).toHaveLength(4);
expect(response.tools).toEqual(expect.arrayContaining(mockTools));
});
});
});

View File

@@ -107,12 +107,6 @@ const getImageEditPromptDescription = () => {
return process.env.IMAGE_EDIT_OAI_PROMPT_DESCRIPTION || DEFAULT_IMAGE_EDIT_PROMPT_DESCRIPTION;
};
function createAbortHandler() {
return function () {
logger.debug('[ImageGenOAI] Image generation aborted');
};
}
/**
* Creates OpenAI Image tools (generation and editing)
* @param {Object} fields - Configuration fields
@@ -207,18 +201,10 @@ function createOpenAIImageTools(fields = {}) {
}
let resp;
/** @type {AbortSignal} */
let derivedSignal = null;
/** @type {() => void} */
let abortHandler = null;
try {
if (runnableConfig?.signal) {
derivedSignal = AbortSignal.any([runnableConfig.signal]);
abortHandler = createAbortHandler();
derivedSignal.addEventListener('abort', abortHandler, { once: true });
}
const derivedSignal = runnableConfig?.signal
? AbortSignal.any([runnableConfig.signal])
: undefined;
resp = await openai.images.generate(
{
model: 'gpt-image-1',
@@ -242,10 +228,6 @@ function createOpenAIImageTools(fields = {}) {
logAxiosError({ error, message });
return returnValue(`Something went wrong when trying to generate the image. The OpenAI API may be unavailable:
Error Message: ${error.message}`);
} finally {
if (abortHandler && derivedSignal) {
derivedSignal.removeEventListener('abort', abortHandler);
}
}
if (!resp) {
@@ -427,17 +409,10 @@ Error Message: ${error.message}`);
headers['Authorization'] = `Bearer ${apiKey}`;
}
/** @type {AbortSignal} */
let derivedSignal = null;
/** @type {() => void} */
let abortHandler = null;
try {
if (runnableConfig?.signal) {
derivedSignal = AbortSignal.any([runnableConfig.signal]);
abortHandler = createAbortHandler();
derivedSignal.addEventListener('abort', abortHandler, { once: true });
}
const derivedSignal = runnableConfig?.signal
? AbortSignal.any([runnableConfig.signal])
: undefined;
/** @type {import('axios').AxiosRequestConfig} */
const axiosConfig = {
@@ -492,10 +467,6 @@ Error Message: ${error.message}`);
logAxiosError({ error, message });
return returnValue(`Something went wrong when trying to edit the image. The OpenAI API may be unavailable:
Error Message: ${error.message || 'Unknown error'}`);
} finally {
if (abortHandler && derivedSignal) {
derivedSignal.removeEventListener('abort', abortHandler);
}
}
},
{

View File

@@ -1,10 +1,9 @@
const { z } = require('zod');
const axios = require('axios');
const { tool } = require('@langchain/core/tools');
const { logger } = require('@librechat/data-schemas');
const { Tools, EToolResources } = require('librechat-data-provider');
const { generateShortLivedToken } = require('~/server/services/AuthService');
const { getFiles } = require('~/models/File');
const { logger } = require('~/config');
/**
*
@@ -60,7 +59,7 @@ const createFileSearchTool = async ({ req, files, entity_id }) => {
if (files.length === 0) {
return 'No files to search. Instruct the user to add files for the search.';
}
const jwtToken = generateShortLivedToken(req.user.id);
const jwtToken = req.headers.authorization.split(' ')[1];
if (!jwtToken) {
return 'There was an error authenticating the file search request.';
}

View File

@@ -1,8 +1,7 @@
const { logger } = require('@librechat/data-schemas');
const { isEnabled, math } = require('@librechat/api');
const { ViolationTypes } = require('librechat-data-provider');
const { isEnabled, math, removePorts } = require('~/server/utils');
const { deleteAllUserSessions } = require('~/models');
const { removePorts } = require('~/server/utils');
const getLogStores = require('./getLogStores');
const { BAN_VIOLATIONS, BAN_INTERVAL } = process.env ?? {};

View File

@@ -1,7 +1,7 @@
const { Keyv } = require('keyv');
const { isEnabled, math } = require('@librechat/api');
const { CacheKeys, ViolationTypes, Time } = require('librechat-data-provider');
const { logFile, violationFile } = require('./keyvFiles');
const { isEnabled, math } = require('~/server/utils');
const keyvRedis = require('./keyvRedis');
const keyvMongo = require('./keyvMongo');

View File

@@ -1,11 +1,8 @@
const mongoose = require('mongoose');
const { MeiliSearch } = require('meilisearch');
const { logger } = require('@librechat/data-schemas');
const { FlowStateManager } = require('@librechat/api');
const { CacheKeys } = require('librechat-data-provider');
const { isEnabled } = require('~/server/utils');
const { getLogStores } = require('~/cache');
const Conversation = mongoose.models.Conversation;
const Message = mongoose.models.Message;
@@ -31,123 +28,43 @@ class MeiliSearchClient {
}
}
/**
* Performs the actual sync operations for messages and conversations
*/
async function performSync() {
const client = MeiliSearchClient.getInstance();
const { status } = await client.health();
if (status !== 'available') {
throw new Error('Meilisearch not available');
}
if (indexingDisabled === true) {
logger.info('[indexSync] Indexing is disabled, skipping...');
return { messagesSync: false, convosSync: false };
}
let messagesSync = false;
let convosSync = false;
// Check if we need to sync messages
const messageProgress = await Message.getSyncProgress();
if (!messageProgress.isComplete) {
logger.info(
`[indexSync] Messages need syncing: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments} indexed`,
);
// Check if we should do a full sync or incremental
const messageCount = await Message.countDocuments();
const messagesIndexed = messageProgress.totalProcessed;
const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
if (messageCount - messagesIndexed > syncThreshold) {
logger.info('[indexSync] Starting full message sync due to large difference');
await Message.syncWithMeili();
messagesSync = true;
} else if (messageCount !== messagesIndexed) {
logger.warn('[indexSync] Messages out of sync, performing incremental sync');
await Message.syncWithMeili();
messagesSync = true;
}
} else {
logger.info(
`[indexSync] Messages are fully synced: ${messageProgress.totalProcessed}/${messageProgress.totalDocuments}`,
);
}
// Check if we need to sync conversations
const convoProgress = await Conversation.getSyncProgress();
if (!convoProgress.isComplete) {
logger.info(
`[indexSync] Conversations need syncing: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments} indexed`,
);
const convoCount = await Conversation.countDocuments();
const convosIndexed = convoProgress.totalProcessed;
const syncThreshold = parseInt(process.env.MEILI_SYNC_THRESHOLD || '1000', 10);
if (convoCount - convosIndexed > syncThreshold) {
logger.info('[indexSync] Starting full conversation sync due to large difference');
await Conversation.syncWithMeili();
convosSync = true;
} else if (convoCount !== convosIndexed) {
logger.warn('[indexSync] Convos out of sync, performing incremental sync');
await Conversation.syncWithMeili();
convosSync = true;
}
} else {
logger.info(
`[indexSync] Conversations are fully synced: ${convoProgress.totalProcessed}/${convoProgress.totalDocuments}`,
);
}
return { messagesSync, convosSync };
}
/**
* Main index sync function that uses FlowStateManager to prevent concurrent execution
*/
async function indexSync() {
if (!searchEnabled) {
return;
}
logger.info('[indexSync] Starting index synchronization check...');
try {
// Get or create FlowStateManager instance
const flowsCache = getLogStores(CacheKeys.FLOWS);
if (!flowsCache) {
logger.warn('[indexSync] Flows cache not available, falling back to direct sync');
return await performSync();
const client = MeiliSearchClient.getInstance();
const { status } = await client.health();
if (status !== 'available') {
throw new Error('Meilisearch not available');
}
const flowManager = new FlowStateManager(flowsCache, {
ttl: 60000 * 10, // 10 minutes TTL for sync operations
});
// Use a unique flow ID for the sync operation
const flowId = 'meili-index-sync';
const flowType = 'MEILI_SYNC';
// This will only execute the handler if no other instance is running the sync
const result = await flowManager.createFlowWithHandler(flowId, flowType, performSync);
if (result.messagesSync || result.convosSync) {
logger.info('[indexSync] Sync completed successfully');
} else {
logger.debug('[indexSync] No sync was needed');
}
return result;
} catch (err) {
if (err.message.includes('flow already exists')) {
logger.info('[indexSync] Sync already running on another instance');
if (indexingDisabled === true) {
logger.info('[indexSync] Indexing is disabled, skipping...');
return;
}
const messageCount = await Message.countDocuments();
const convoCount = await Conversation.countDocuments();
const messages = await client.index('messages').getStats();
const convos = await client.index('convos').getStats();
const messagesIndexed = messages.numberOfDocuments;
const convosIndexed = convos.numberOfDocuments;
logger.debug(`[indexSync] There are ${messageCount} messages and ${messagesIndexed} indexed`);
logger.debug(`[indexSync] There are ${convoCount} convos and ${convosIndexed} indexed`);
if (messageCount !== messagesIndexed) {
logger.debug('[indexSync] Messages out of sync, indexing');
Message.syncWithMeili();
}
if (convoCount !== convosIndexed) {
logger.debug('[indexSync] Convos out of sync, indexing');
Conversation.syncWithMeili();
}
} catch (err) {
if (err.message.includes('not found')) {
logger.debug('[indexSync] Creating indices...');
currentTimeout = setTimeout(async () => {

View File

@@ -4,7 +4,6 @@ const { logger } = require('@librechat/data-schemas');
const { SystemRoles, Tools, actionDelimiter } = require('librechat-data-provider');
const { GLOBAL_PROJECT_NAME, EPHEMERAL_AGENT_ID, mcp_delimiter } =
require('librechat-data-provider').Constants;
const { CONFIG_STORE, STARTUP_CONFIG } = require('librechat-data-provider').CacheKeys;
const {
getProjectByName,
addAgentIdsToProject,
@@ -12,7 +11,6 @@ const {
removeAgentFromAllProjects,
} = require('./Project');
const { getCachedTools } = require('~/server/services/Config');
const getLogStores = require('~/cache/getLogStores');
const { getActions } = require('./Action');
const { Agent } = require('~/db/models');
@@ -23,7 +21,7 @@ const { Agent } = require('~/db/models');
* @throws {Error} If the agent creation fails.
*/
const createAgent = async (agentData) => {
const { author, ...versionData } = agentData;
const { author: _author, ...versionData } = agentData;
const timestamp = new Date();
const initialAgentData = {
...agentData,
@@ -70,9 +68,6 @@ const loadEphemeralAgent = async ({ req, agent_id, endpoint, model_parameters: _
if (ephemeralAgent?.execute_code === true) {
tools.push(Tools.execute_code);
}
if (ephemeralAgent?.file_search === true) {
tools.push(Tools.file_search);
}
if (ephemeralAgent?.web_search === true) {
tools.push(Tools.web_search);
}
@@ -126,29 +121,7 @@ const loadAgent = async ({ req, agent_id, endpoint, model_parameters }) => {
}
agent.version = agent.versions ? agent.versions.length : 0;
if (agent.author.toString() === req.user.id) {
return agent;
}
if (!agent.projectIds) {
return null;
}
const cache = getLogStores(CONFIG_STORE);
/** @type {TStartupConfig} */
const cachedStartupConfig = await cache.get(STARTUP_CONFIG);
let { instanceProjectId } = cachedStartupConfig ?? {};
if (!instanceProjectId) {
instanceProjectId = (await getProjectByName(GLOBAL_PROJECT_NAME, '_id'))._id.toString();
}
for (const projectObjectId of agent.projectIds) {
const projectId = projectObjectId.toString();
if (projectId === instanceProjectId) {
return agent;
}
}
return agent;
};
/**
@@ -178,7 +151,7 @@ const isDuplicateVersion = (updateData, currentData, versions, actionsHash = nul
'actionsHash', // Exclude actionsHash from direct comparison
];
const { $push, $pull, $addToSet, ...directUpdates } = updateData;
const { $push: _$push, $pull: _$pull, $addToSet: _$addToSet, ...directUpdates } = updateData;
if (Object.keys(directUpdates).length === 0 && !actionsHash) {
return null;
@@ -273,7 +246,14 @@ const updateAgent = async (searchParameter, updateData, options = {}) => {
const currentAgent = await Agent.findOne(searchParameter);
if (currentAgent) {
const { __v, _id, id, versions, author, ...versionData } = currentAgent.toObject();
const {
__v,
_id,
id: __id,
versions,
author: _author,
...versionData
} = currentAgent.toObject();
const { $push, $pull, $addToSet, ...directUpdates } = updateData;
let actionsHash = null;
@@ -464,8 +444,110 @@ const deleteAgent = async (searchParameter) => {
return agent;
};
/**
* Get agents by accessible IDs with optional cursor-based pagination.
* @param {Object} params - The parameters for getting accessible agents.
* @param {Array} [params.accessibleIds] - Array of agent ObjectIds the user has ACL access to.
* @param {Object} [params.otherParams] - Additional query parameters (including author filter).
* @param {number} [params.limit] - Number of agents to return (max 100). If not provided, returns all agents.
* @param {string} [params.after] - Cursor for pagination - get agents after this cursor. // base64 encoded JSON string with updatedAt and _id.
* @returns {Promise<Object>} A promise that resolves to an object containing the agents data and pagination info.
*/
const getListAgentsByAccess = async ({
accessibleIds = [],
otherParams = {},
limit = null,
after = null,
}) => {
const isPaginated = limit !== null && limit !== undefined;
const normalizedLimit = isPaginated ? Math.min(Math.max(1, parseInt(limit) || 20), 100) : null;
// Build base query combining ACL accessible agents with other filters
const baseQuery = { ...otherParams };
if (accessibleIds.length > 0) {
baseQuery._id = { $in: accessibleIds };
}
// Add cursor condition
if (after) {
try {
const cursor = JSON.parse(Buffer.from(after, 'base64').toString('utf8'));
const { updatedAt, _id } = cursor;
const cursorCondition = {
$or: [
{ updatedAt: { $lt: new Date(updatedAt) } },
{ updatedAt: new Date(updatedAt), _id: { $gt: mongoose.Types.ObjectId(_id) } },
],
};
// Merge cursor condition with base query
if (Object.keys(baseQuery).length > 0) {
baseQuery.$and = [{ ...baseQuery }, cursorCondition];
// Remove the original conditions from baseQuery to avoid duplication
Object.keys(baseQuery).forEach((key) => {
if (key !== '$and') delete baseQuery[key];
});
} else {
Object.assign(baseQuery, cursorCondition);
}
} catch (error) {
logger.warn('Invalid cursor:', error.message);
}
}
let query = Agent.find(baseQuery, {
id: 1,
_id: 1,
name: 1,
avatar: 1,
author: 1,
projectIds: 1,
description: 1,
updatedAt: 1,
}).sort({ updatedAt: -1, _id: 1 });
// Only apply limit if pagination is requested
if (isPaginated) {
query = query.limit(normalizedLimit + 1);
}
const agents = await query.lean();
const hasMore = isPaginated ? agents.length > normalizedLimit : false;
const data = (isPaginated ? agents.slice(0, normalizedLimit) : agents).map((agent) => {
if (agent.author) {
agent.author = agent.author.toString();
}
return agent;
});
// Generate next cursor only if paginated
let nextCursor = null;
if (isPaginated && hasMore && data.length > 0) {
const lastAgent = agents[normalizedLimit - 1];
nextCursor = Buffer.from(
JSON.stringify({
updatedAt: lastAgent.updatedAt.toISOString(),
_id: lastAgent._id.toString(),
}),
).toString('base64');
}
return {
object: 'list',
data,
first_id: data.length > 0 ? data[0].id : null,
last_id: data.length > 0 ? data[data.length - 1].id : null,
has_more: hasMore,
after: nextCursor,
};
};
/**
* Get all agents.
* @deprecated Use getListAgentsByAccess for ACL-aware agent listing
* @param {Object} searchParameter - The search parameters to find matching agents.
* @param {string} searchParameter.author - The user ID of the agent's author.
* @returns {Promise<Object>} A promise that resolves to an object containing the agents data and pagination info.
@@ -484,12 +566,13 @@ const getListAgents = async (searchParameter) => {
const agents = (
await Agent.find(query, {
id: 1,
_id: 0,
_id: 1,
name: 1,
avatar: 1,
author: 1,
projectIds: 1,
description: 1,
// @deprecated - isCollaborative replaced by ACL permissions
isCollaborative: 1,
}).lean()
).map((agent) => {
@@ -673,6 +756,7 @@ module.exports = {
revertAgentVersion,
updateAgentProjects,
addAgentResourceFile,
getListAgentsByAccess,
removeAgentResourceFiles,
generateActionMetadataHash,
};

View File

@@ -43,7 +43,7 @@ describe('models/Agent', () => {
const mongoUri = mongoServer.getUri();
Agent = mongoose.models.Agent || mongoose.model('Agent', agentSchema);
await mongoose.connect(mongoUri);
}, 20000);
});
afterAll(async () => {
await mongoose.disconnect();
@@ -413,7 +413,7 @@ describe('models/Agent', () => {
const mongoUri = mongoServer.getUri();
Agent = mongoose.models.Agent || mongoose.model('Agent', agentSchema);
await mongoose.connect(mongoUri);
}, 20000);
});
afterAll(async () => {
await mongoose.disconnect();
@@ -670,7 +670,7 @@ describe('models/Agent', () => {
const mongoUri = mongoServer.getUri();
Agent = mongoose.models.Agent || mongoose.model('Agent', agentSchema);
await mongoose.connect(mongoUri);
}, 20000);
});
afterAll(async () => {
await mongoose.disconnect();
@@ -1332,7 +1332,7 @@ describe('models/Agent', () => {
const mongoUri = mongoServer.getUri();
Agent = mongoose.models.Agent || mongoose.model('Agent', agentSchema);
await mongoose.connect(mongoUri);
}, 20000);
});
afterAll(async () => {
await mongoose.disconnect();
@@ -1514,7 +1514,7 @@ describe('models/Agent', () => {
const mongoUri = mongoServer.getUri();
Agent = mongoose.models.Agent || mongoose.model('Agent', agentSchema);
await mongoose.connect(mongoUri);
}, 20000);
});
afterAll(async () => {
await mongoose.disconnect();
@@ -1633,7 +1633,7 @@ describe('models/Agent', () => {
expect(result.version).toBe(1);
});
test('should return null when user is not author and agent has no projectIds', async () => {
test('should return agent even when user is not author (permissions checked at route level)', async () => {
const authorId = new mongoose.Types.ObjectId();
const userId = new mongoose.Types.ObjectId();
const agentId = `agent_${uuidv4()}`;
@@ -1654,7 +1654,11 @@ describe('models/Agent', () => {
model_parameters: { model: 'gpt-4' },
});
expect(result).toBeFalsy();
// With the new permission system, loadAgent returns the agent regardless of permissions
// Permission checks are handled at the route level via middleware
expect(result).toBeTruthy();
expect(result.id).toBe(agentId);
expect(result.name).toBe('Test Agent');
});
test('should handle ephemeral agent with no MCP servers', async () => {
@@ -1762,7 +1766,7 @@ describe('models/Agent', () => {
}
});
test('should handle loadAgent with agent from different project', async () => {
test('should return agent from different project (permissions checked at route level)', async () => {
const authorId = new mongoose.Types.ObjectId();
const userId = new mongoose.Types.ObjectId();
const agentId = `agent_${uuidv4()}`;
@@ -1785,7 +1789,11 @@ describe('models/Agent', () => {
model_parameters: { model: 'gpt-4' },
});
expect(result).toBeFalsy();
// With the new permission system, loadAgent returns the agent regardless of permissions
// Permission checks are handled at the route level via middleware
expect(result).toBeTruthy();
expect(result.id).toBe(agentId);
expect(result.name).toBe('Project Agent');
});
});
});
@@ -1798,7 +1806,7 @@ describe('models/Agent', () => {
const mongoUri = mongoServer.getUri();
Agent = mongoose.models.Agent || mongoose.model('Agent', agentSchema);
await mongoose.connect(mongoUri);
}, 20000);
});
afterAll(async () => {
await mongoose.disconnect();
@@ -2350,7 +2358,7 @@ describe('models/Agent', () => {
const mongoUri = mongoServer.getUri();
Agent = mongoose.models.Agent || mongoose.model('Agent', agentSchema);
await mongoose.connect(mongoUri);
}, 20000);
});
afterAll(async () => {
await mongoose.disconnect();

View File

@@ -1,6 +1,4 @@
const { logger } = require('@librechat/data-schemas');
const { createTempChatExpirationDate } = require('@librechat/api');
const getCustomConfig = require('~/server/services/Config/loadCustomConfig');
const { getMessages, deleteMessages } = require('./Message');
const { Conversation } = require('~/db/models');
@@ -100,15 +98,10 @@ module.exports = {
update.conversationId = newConversationId;
}
if (req?.body?.isTemporary) {
try {
const customConfig = await getCustomConfig();
update.expiredAt = createTempChatExpirationDate(customConfig);
} catch (err) {
logger.error('Error creating temporary chat expiration date:', err);
logger.info(`---\`saveConvo\` context: ${metadata?.context}`);
update.expiredAt = null;
}
if (req.body.isTemporary) {
const expiredAt = new Date();
expiredAt.setDate(expiredAt.getDate() + 30);
update.expiredAt = expiredAt;
} else {
update.expiredAt = null;
}

View File

@@ -1,5 +1,5 @@
const { logger } = require('@librechat/data-schemas');
const { EToolResources, FileContext } = require('librechat-data-provider');
const { EToolResources } = require('librechat-data-provider');
const { File } = require('~/db/models');
/**
@@ -32,19 +32,19 @@ const getFiles = async (filter, _sortOptions, selectFields = { text: 0 }) => {
* @returns {Promise<Array<MongoFile>>} Files that match the criteria
*/
const getToolFilesByIds = async (fileIds, toolResourceSet) => {
if (!fileIds || !fileIds.length || !toolResourceSet?.size) {
if (!fileIds || !fileIds.length) {
return [];
}
try {
const filter = {
file_id: { $in: fileIds },
$or: [],
};
if (toolResourceSet.has(EToolResources.ocr)) {
filter.$or.push({ text: { $exists: true, $ne: null }, context: FileContext.agents });
if (toolResourceSet.size) {
filter.$or = [];
}
if (toolResourceSet.has(EToolResources.file_search)) {
filter.$or.push({ embedded: true });
}

View File

@@ -1,7 +1,5 @@
const { z } = require('zod');
const { logger } = require('@librechat/data-schemas');
const { createTempChatExpirationDate } = require('@librechat/api');
const getCustomConfig = require('~/server/services/Config/loadCustomConfig');
const { Message } = require('~/db/models');
const idSchema = z.string().uuid();
@@ -56,14 +54,9 @@ async function saveMessage(req, params, metadata) {
};
if (req?.body?.isTemporary) {
try {
const customConfig = await getCustomConfig();
update.expiredAt = createTempChatExpirationDate(customConfig);
} catch (err) {
logger.error('Error creating temporary chat expiration date:', err);
logger.info(`---\`saveMessage\` context: ${metadata?.context}`);
update.expiredAt = null;
}
const expiredAt = new Date();
expiredAt.setDate(expiredAt.getDate() + 30);
update.expiredAt = expiredAt;
} else {
update.expiredAt = null;
}

View File

@@ -48,13 +48,15 @@
"@langchain/google-genai": "^0.2.13",
"@langchain/google-vertexai": "^0.2.13",
"@langchain/textsplitters": "^0.1.0",
"@librechat/agents": "^2.4.46",
"@librechat/agents": "^2.4.41",
"@librechat/api": "*",
"@librechat/data-schemas": "*",
"@node-saml/passport-saml": "^5.0.0",
"@microsoft/microsoft-graph-client": "^3.0.7",
"@waylaidwanderer/fetch-event-source": "^3.0.1",
"axios": "^1.8.2",
"bcryptjs": "^2.4.3",
"cohere-ai": "^7.9.1",
"compression": "^1.7.4",
"connect-redis": "^7.1.0",
"cookie": "^0.7.2",

View File

@@ -169,6 +169,9 @@ function disposeClient(client) {
client.isGenerativeModel = null;
}
// Properties specific to OpenAIClient
if (client.ChatGPTClient) {
client.ChatGPTClient = null;
}
if (client.completionsUrl) {
client.completionsUrl = null;
}

View File

@@ -0,0 +1,282 @@
const { getResponseSender, Constants } = require('librechat-data-provider');
const {
handleAbortError,
createAbortController,
cleanupAbortController,
} = require('~/server/middleware');
const {
disposeClient,
processReqData,
clientRegistry,
requestDataMap,
} = require('~/server/cleanup');
const { sendMessage, createOnProgress } = require('~/server/utils');
const { saveMessage } = require('~/models');
const { logger } = require('~/config');
const AskController = async (req, res, next, initializeClient, addTitle) => {
let {
text,
endpointOption,
conversationId,
modelDisplayLabel,
parentMessageId = null,
overrideParentMessageId = null,
} = req.body;
let client = null;
let abortKey = null;
let cleanupHandlers = [];
let clientRef = null;
logger.debug('[AskController]', {
text,
conversationId,
...endpointOption,
modelsConfig: endpointOption?.modelsConfig ? 'exists' : '',
});
let userMessage = null;
let userMessagePromise = null;
let promptTokens = null;
let userMessageId = null;
let responseMessageId = null;
let getAbortData = null;
const sender = getResponseSender({
...endpointOption,
model: endpointOption.modelOptions.model,
modelDisplayLabel,
});
const initialConversationId = conversationId;
const newConvo = !initialConversationId;
const userId = req.user.id;
let reqDataContext = {
userMessage,
userMessagePromise,
responseMessageId,
promptTokens,
conversationId,
userMessageId,
};
const updateReqData = (data = {}) => {
reqDataContext = processReqData(data, reqDataContext);
abortKey = reqDataContext.abortKey;
userMessage = reqDataContext.userMessage;
userMessagePromise = reqDataContext.userMessagePromise;
responseMessageId = reqDataContext.responseMessageId;
promptTokens = reqDataContext.promptTokens;
conversationId = reqDataContext.conversationId;
userMessageId = reqDataContext.userMessageId;
};
let { onProgress: progressCallback, getPartialText } = createOnProgress();
const performCleanup = () => {
logger.debug('[AskController] Performing cleanup');
if (Array.isArray(cleanupHandlers)) {
for (const handler of cleanupHandlers) {
try {
if (typeof handler === 'function') {
handler();
}
} catch (e) {
// Ignore
}
}
}
if (abortKey) {
logger.debug('[AskController] Cleaning up abort controller');
cleanupAbortController(abortKey);
abortKey = null;
}
if (client) {
disposeClient(client);
client = null;
}
reqDataContext = null;
userMessage = null;
userMessagePromise = null;
promptTokens = null;
getAbortData = null;
progressCallback = null;
endpointOption = null;
cleanupHandlers = null;
addTitle = null;
if (requestDataMap.has(req)) {
requestDataMap.delete(req);
}
logger.debug('[AskController] Cleanup completed');
};
try {
({ client } = await initializeClient({ req, res, endpointOption }));
if (clientRegistry && client) {
clientRegistry.register(client, { userId }, client);
}
if (client) {
requestDataMap.set(req, { client });
}
clientRef = new WeakRef(client);
getAbortData = () => {
const currentClient = clientRef?.deref();
const currentText =
currentClient?.getStreamText != null ? currentClient.getStreamText() : getPartialText();
return {
sender,
conversationId,
messageId: reqDataContext.responseMessageId,
parentMessageId: overrideParentMessageId ?? userMessageId,
text: currentText,
userMessage: userMessage,
userMessagePromise: userMessagePromise,
promptTokens: reqDataContext.promptTokens,
};
};
const { onStart, abortController } = createAbortController(
req,
res,
getAbortData,
updateReqData,
);
const closeHandler = () => {
logger.debug('[AskController] Request closed');
if (!abortController || abortController.signal.aborted || abortController.requestCompleted) {
return;
}
abortController.abort();
logger.debug('[AskController] Request aborted on close');
};
res.on('close', closeHandler);
cleanupHandlers.push(() => {
try {
res.removeListener('close', closeHandler);
} catch (e) {
// Ignore
}
});
const messageOptions = {
user: userId,
parentMessageId,
conversationId: reqDataContext.conversationId,
overrideParentMessageId,
getReqData: updateReqData,
onStart,
abortController,
progressCallback,
progressOptions: {
res,
},
};
/** @type {TMessage} */
let response = await client.sendMessage(text, messageOptions);
response.endpoint = endpointOption.endpoint;
const databasePromise = response.databasePromise;
delete response.databasePromise;
const { conversation: convoData = {} } = await databasePromise;
const conversation = { ...convoData };
conversation.title =
conversation && !conversation.title ? null : conversation?.title || 'New Chat';
const latestUserMessage = reqDataContext.userMessage;
if (client?.options?.attachments && latestUserMessage) {
latestUserMessage.files = client.options.attachments;
if (endpointOption?.modelOptions?.model) {
conversation.model = endpointOption.modelOptions.model;
}
delete latestUserMessage.image_urls;
}
if (!abortController.signal.aborted) {
const finalResponseMessage = { ...response };
sendMessage(res, {
final: true,
conversation,
title: conversation.title,
requestMessage: latestUserMessage,
responseMessage: finalResponseMessage,
});
res.end();
if (client?.savedMessageIds && !client.savedMessageIds.has(response.messageId)) {
await saveMessage(
req,
{ ...finalResponseMessage, user: userId },
{ context: 'api/server/controllers/AskController.js - response end' },
);
}
}
if (!client?.skipSaveUserMessage && latestUserMessage) {
await saveMessage(req, latestUserMessage, {
context: "api/server/controllers/AskController.js - don't skip saving user message",
});
}
if (typeof addTitle === 'function' && parentMessageId === Constants.NO_PARENT && newConvo) {
addTitle(req, {
text,
response: { ...response },
client,
})
.then(() => {
logger.debug('[AskController] Title generation started');
})
.catch((err) => {
logger.error('[AskController] Error in title generation', err);
})
.finally(() => {
logger.debug('[AskController] Title generation completed');
performCleanup();
});
} else {
performCleanup();
}
} catch (error) {
logger.error('[AskController] Error handling request', error);
let partialText = '';
try {
const currentClient = clientRef?.deref();
partialText =
currentClient?.getStreamText != null ? currentClient.getStreamText() : getPartialText();
} catch (getTextError) {
logger.error('[AskController] Error calling getText() during error handling', getTextError);
}
handleAbortError(res, req, error, {
sender,
partialText,
conversationId: reqDataContext.conversationId,
messageId: reqDataContext.responseMessageId,
parentMessageId: overrideParentMessageId ?? reqDataContext.userMessageId ?? parentMessageId,
userMessageId: reqDataContext.userMessageId,
})
.catch((err) => {
logger.error('[AskController] Error in `handleAbortError` during catch block', err);
})
.finally(() => {
performCleanup();
});
}
};
module.exports = AskController;

View File

@@ -1,17 +1,17 @@
const cookies = require('cookie');
const jwt = require('jsonwebtoken');
const openIdClient = require('openid-client');
const { isEnabled } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const {
requestPasswordReset,
setOpenIDAuthTokens,
registerUser,
resetPassword,
setAuthTokens,
registerUser,
requestPasswordReset,
setOpenIDAuthTokens,
} = require('~/server/services/AuthService');
const { findUser, getUserById, deleteAllUserSessions, findSession } = require('~/models');
const { getOpenIdConfig } = require('~/strategies');
const { isEnabled } = require('~/server/utils');
const registrationController = async (req, res) => {
try {

View File

@@ -1,5 +1,3 @@
const { sendEvent } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { getResponseSender } = require('librechat-data-provider');
const {
handleAbortError,
@@ -12,8 +10,9 @@ const {
clientRegistry,
requestDataMap,
} = require('~/server/cleanup');
const { createOnProgress } = require('~/server/utils');
const { sendMessage, createOnProgress } = require('~/server/utils');
const { saveMessage } = require('~/models');
const { logger } = require('~/config');
const EditController = async (req, res, next, initializeClient) => {
let {
@@ -85,7 +84,7 @@ const EditController = async (req, res, next, initializeClient) => {
}
if (abortKey) {
logger.debug('[EditController] Cleaning up abort controller');
logger.debug('[AskController] Cleaning up abort controller');
cleanupAbortController(abortKey);
abortKey = null;
}
@@ -199,7 +198,7 @@ const EditController = async (req, res, next, initializeClient) => {
const finalUserMessage = reqDataContext.userMessage;
const finalResponseMessage = { ...response };
sendEvent(res, {
sendMessage(res, {
final: true,
conversation,
title: conversation.title,

View File

@@ -0,0 +1,437 @@
/**
* @import { TUpdateResourcePermissionsRequest, TUpdateResourcePermissionsResponse } from 'librechat-data-provider'
*/
const mongoose = require('mongoose');
const { logger } = require('@librechat/data-schemas');
const {
getAvailableRoles,
ensurePrincipalExists,
getEffectivePermissions,
ensureGroupPrincipalExists,
bulkUpdateResourcePermissions,
} = require('~/server/services/PermissionService');
const { AclEntry } = require('~/db/models');
const {
searchPrincipals: searchLocalPrincipals,
sortPrincipalsByRelevance,
calculateRelevanceScore,
} = require('~/models');
const {
searchEntraIdPrincipals,
entraIdPrincipalFeatureEnabled,
} = require('~/server/services/GraphApiService');
/**
* Generic controller for resource permission endpoints
* Delegates validation and logic to PermissionService
*/
/**
* Bulk update permissions for a resource (grant, update, remove)
* @route PUT /api/{resourceType}/{resourceId}/permissions
* @param {Object} req - Express request object
* @param {Object} req.params - Route parameters
* @param {string} req.params.resourceType - Resource type (e.g., 'agent')
* @param {string} req.params.resourceId - Resource ID
* @param {TUpdateResourcePermissionsRequest} req.body - Request body
* @param {Object} res - Express response object
* @returns {Promise<TUpdateResourcePermissionsResponse>} Updated permissions response
*/
const updateResourcePermissions = async (req, res) => {
try {
const { resourceType, resourceId } = req.params;
/** @type {TUpdateResourcePermissionsRequest} */
const { updated, removed, public: isPublic, publicAccessRoleId } = req.body;
const { id: userId } = req.user;
// Prepare principals for the service call
const updatedPrincipals = [];
const revokedPrincipals = [];
// Add updated principals
if (updated && Array.isArray(updated)) {
updatedPrincipals.push(...updated);
}
// Add public permission if enabled
if (isPublic && publicAccessRoleId) {
updatedPrincipals.push({
type: 'public',
id: null,
accessRoleId: publicAccessRoleId,
});
}
// Prepare authentication context for enhanced group member fetching
const useEntraId = entraIdPrincipalFeatureEnabled(req.user);
const authHeader = req.headers.authorization;
const accessToken =
authHeader && authHeader.startsWith('Bearer ') ? authHeader.substring(7) : null;
const authContext =
useEntraId && accessToken
? {
accessToken,
sub: req.user.openidId,
}
: null;
// Ensure updated principals exist in the database before processing permissions
const validatedPrincipals = [];
for (const principal of updatedPrincipals) {
try {
let principalId;
if (principal.type === 'public') {
principalId = null; // Public principals don't need database records
} else if (principal.type === 'user') {
principalId = await ensurePrincipalExists(principal);
} else if (principal.type === 'group') {
// Pass authContext to enable member fetching for Entra ID groups when available
principalId = await ensureGroupPrincipalExists(principal, authContext);
} else {
logger.error(`Unsupported principal type: ${principal.type}`);
continue; // Skip invalid principal types
}
// Update the principal with the validated ID for ACL operations
validatedPrincipals.push({
...principal,
id: principalId,
});
} catch (error) {
logger.error('Error ensuring principal exists:', {
principal: {
type: principal.type,
id: principal.id,
name: principal.name,
source: principal.source,
},
error: error.message,
});
// Continue with other principals instead of failing the entire operation
continue;
}
}
// Add removed principals
if (removed && Array.isArray(removed)) {
revokedPrincipals.push(...removed);
}
// If public is disabled, add public to revoked list
if (!isPublic) {
revokedPrincipals.push({
type: 'public',
id: null,
});
}
const results = await bulkUpdateResourcePermissions({
resourceType,
resourceId,
updatedPrincipals: validatedPrincipals,
revokedPrincipals,
grantedBy: userId,
});
/** @type {TUpdateResourcePermissionsResponse} */
const response = {
message: 'Permissions updated successfully',
results: {
principals: results.granted,
public: isPublic || false,
publicAccessRoleId: isPublic ? publicAccessRoleId : undefined,
},
};
res.status(200).json(response);
} catch (error) {
logger.error('Error updating resource permissions:', error);
res.status(400).json({
error: 'Failed to update permissions',
details: error.message,
});
}
};
/**
* Get principals with their permission roles for a resource (UI-friendly format)
* Uses efficient aggregation pipeline to join User/Group data in single query
* @route GET /api/permissions/{resourceType}/{resourceId}
*/
const getResourcePermissions = async (req, res) => {
try {
const { resourceType, resourceId } = req.params;
// Use aggregation pipeline for efficient single-query data retrieval
const results = await AclEntry.aggregate([
// Match ACL entries for this resource
{
$match: {
resourceType,
resourceId: mongoose.Types.ObjectId.isValid(resourceId)
? mongoose.Types.ObjectId.createFromHexString(resourceId)
: resourceId,
},
},
// Lookup AccessRole information
{
$lookup: {
from: 'accessroles',
localField: 'roleId',
foreignField: '_id',
as: 'role',
},
},
// Lookup User information (for user principals)
{
$lookup: {
from: 'users',
localField: 'principalId',
foreignField: '_id',
as: 'userInfo',
},
},
// Lookup Group information (for group principals)
{
$lookup: {
from: 'groups',
localField: 'principalId',
foreignField: '_id',
as: 'groupInfo',
},
},
// Project final structure
{
$project: {
principalType: 1,
principalId: 1,
accessRoleId: { $arrayElemAt: ['$role.accessRoleId', 0] },
userInfo: { $arrayElemAt: ['$userInfo', 0] },
groupInfo: { $arrayElemAt: ['$groupInfo', 0] },
},
},
]);
const principals = [];
let publicPermission = null;
// Process aggregation results
for (const result of results) {
if (result.principalType === 'public') {
publicPermission = {
public: true,
publicAccessRoleId: result.accessRoleId,
};
} else if (result.principalType === 'user' && result.userInfo) {
principals.push({
type: 'user',
id: result.userInfo._id.toString(),
name: result.userInfo.name || result.userInfo.username,
email: result.userInfo.email,
avatar: result.userInfo.avatar,
source: !result.userInfo._id ? 'entra' : 'local',
idOnTheSource: result.userInfo.idOnTheSource || result.userInfo._id.toString(),
accessRoleId: result.accessRoleId,
});
} else if (result.principalType === 'group' && result.groupInfo) {
principals.push({
type: 'group',
id: result.groupInfo._id.toString(),
name: result.groupInfo.name,
email: result.groupInfo.email,
description: result.groupInfo.description,
avatar: result.groupInfo.avatar,
source: result.groupInfo.source || 'local',
idOnTheSource: result.groupInfo.idOnTheSource || result.groupInfo._id.toString(),
accessRoleId: result.accessRoleId,
});
}
}
// Return response in format expected by frontend
const response = {
resourceType,
resourceId,
principals,
public: publicPermission?.public || false,
...(publicPermission?.publicAccessRoleId && {
publicAccessRoleId: publicPermission.publicAccessRoleId,
}),
};
res.status(200).json(response);
} catch (error) {
logger.error('Error getting resource permissions principals:', error);
res.status(500).json({
error: 'Failed to get permissions principals',
details: error.message,
});
}
};
/**
* Get available roles for a resource type
* @route GET /api/{resourceType}/roles
*/
const getResourceRoles = async (req, res) => {
try {
const { resourceType } = req.params;
const roles = await getAvailableRoles({ resourceType });
res.status(200).json(
roles.map((role) => ({
accessRoleId: role.accessRoleId,
name: role.name,
description: role.description,
permBits: role.permBits,
})),
);
} catch (error) {
logger.error('Error getting resource roles:', error);
res.status(500).json({
error: 'Failed to get roles',
details: error.message,
});
}
};
/**
* Get user's effective permission bitmask for a resource
* @route GET /api/{resourceType}/{resourceId}/effective
*/
const getUserEffectivePermissions = async (req, res) => {
try {
const { resourceType, resourceId } = req.params;
const { id: userId } = req.user;
const permissionBits = await getEffectivePermissions({
userId,
resourceType,
resourceId,
});
res.status(200).json({
permissionBits,
});
} catch (error) {
logger.error('Error getting user effective permissions:', error);
res.status(500).json({
error: 'Failed to get effective permissions',
details: error.message,
});
}
};
/**
* Search for users and groups to grant permissions
* Supports hybrid local database + Entra ID search when configured
* @route GET /api/permissions/search-principals
*/
const searchPrincipals = async (req, res) => {
try {
const { q: query, limit = 20, type } = req.query;
if (!query || query.trim().length === 0) {
return res.status(400).json({
error: 'Query parameter "q" is required and must not be empty',
});
}
if (query.trim().length < 2) {
return res.status(400).json({
error: 'Query must be at least 2 characters long',
});
}
const searchLimit = Math.min(Math.max(1, parseInt(limit) || 10), 50);
const typeFilter = ['user', 'group'].includes(type) ? type : null;
const localResults = await searchLocalPrincipals(query.trim(), searchLimit, typeFilter);
let allPrincipals = [...localResults];
const useEntraId = entraIdPrincipalFeatureEnabled(req.user);
if (useEntraId && localResults.length < searchLimit) {
try {
const graphTypeMap = {
user: 'users',
group: 'groups',
null: 'all',
};
const authHeader = req.headers.authorization;
const accessToken =
authHeader && authHeader.startsWith('Bearer ') ? authHeader.substring(7) : null;
if (accessToken) {
const graphResults = await searchEntraIdPrincipals(
accessToken,
req.user.openidId,
query.trim(),
graphTypeMap[typeFilter],
searchLimit - localResults.length,
);
const localEmails = new Set(
localResults.map((p) => p.email?.toLowerCase()).filter(Boolean),
);
const localGroupSourceIds = new Set(
localResults.map((p) => p.idOnTheSource).filter(Boolean),
);
for (const principal of graphResults) {
const isDuplicateByEmail =
principal.email && localEmails.has(principal.email.toLowerCase());
const isDuplicateBySourceId =
principal.idOnTheSource && localGroupSourceIds.has(principal.idOnTheSource);
if (!isDuplicateByEmail && !isDuplicateBySourceId) {
allPrincipals.push(principal);
}
}
}
} catch (graphError) {
logger.warn('Graph API search failed, falling back to local results:', graphError.message);
}
}
const scoredResults = allPrincipals.map((item) => ({
...item,
_searchScore: calculateRelevanceScore(item, query.trim()),
}));
allPrincipals = sortPrincipalsByRelevance(scoredResults)
.slice(0, searchLimit)
.map((result) => {
const { _searchScore, ...resultWithoutScore } = result;
return resultWithoutScore;
});
res.status(200).json({
query: query.trim(),
limit: searchLimit,
type: typeFilter,
results: allPrincipals,
count: allPrincipals.length,
sources: {
local: allPrincipals.filter((r) => r.source === 'local').length,
entra: allPrincipals.filter((r) => r.source === 'entra').length,
},
});
} catch (error) {
logger.error('Error searching principals:', error);
res.status(500).json({
error: 'Failed to search principals',
details: error.message,
});
}
};
module.exports = {
updateResourcePermissions,
getResourcePermissions,
getResourceRoles,
getUserEffectivePermissions,
searchPrincipals,
};

View File

@@ -4,13 +4,11 @@ const {
sendEvent,
createRun,
Tokenizer,
checkAccess,
memoryInstructions,
createMemoryProcessor,
} = require('@librechat/api');
const {
Callback,
Providers,
GraphEvents,
formatMessage,
formatAgentMessages,
@@ -33,29 +31,22 @@ const {
} = require('librechat-data-provider');
const { DynamicStructuredTool } = require('@langchain/core/tools');
const { getBufferString, HumanMessage } = require('@langchain/core/messages');
const { createGetMCPAuthMap, checkCapability } = require('~/server/services/Config');
const {
getCustomEndpointConfig,
createGetMCPAuthMap,
checkCapability,
} = require('~/server/services/Config');
const { addCacheControl, createContextHandlers } = require('~/app/clients/prompts');
const { initializeAgent } = require('~/server/services/Endpoints/agents/agent');
const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
const { getFormattedMemories, deleteMemory, setMemory } = require('~/models');
const { encodeAndFormat } = require('~/server/services/Files/images/encode');
const { getProviderConfig } = require('~/server/services/Endpoints');
const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
const { checkAccess } = require('~/server/middleware/roles/access');
const BaseClient = require('~/app/clients/BaseClient');
const { getRoleByName } = require('~/models/Role');
const { loadAgent } = require('~/models/Agent');
const { getMCPManager } = require('~/config');
const omitTitleOptions = new Set([
'stream',
'thinking',
'streaming',
'clientOptions',
'thinkingConfig',
'thinkingBudget',
'includeThoughts',
'maxOutputTokens',
]);
/**
* @param {ServerRequest} req
* @param {Agent} agent
@@ -402,12 +393,7 @@ class AgentClient extends BaseClient {
if (user.personalization?.memories === false) {
return;
}
const hasAccess = await checkAccess({
user,
permissionType: PermissionTypes.MEMORIES,
permissions: [Permissions.USE],
getRoleByName,
});
const hasAccess = await checkAccess(user, PermissionTypes.MEMORIES, [Permissions.USE]);
if (!hasAccess) {
logger.debug(
@@ -691,7 +677,7 @@ class AgentClient extends BaseClient {
hide_sequential_outputs: this.options.agent.hide_sequential_outputs,
user: this.options.req.user,
},
recursionLimit: agentsEConfig?.recursionLimit ?? 25,
recursionLimit: agentsEConfig?.recursionLimit,
signal: abortController.signal,
streamMode: 'values',
version: 'v2',
@@ -997,26 +983,23 @@ class AgentClient extends BaseClient {
throw new Error('Run not initialized');
}
const { handleLLMEnd, collected: collectedMetadata } = createMetadataAggregator();
const { req, res, agent } = this.options;
const endpoint = agent.endpoint;
const endpoint = this.options.agent.endpoint;
const { req, res } = this.options;
/** @type {import('@librechat/agents').ClientOptions} */
let clientOptions = {
maxTokens: 75,
model: agent.model_parameters.model,
};
const { getOptions, overrideProvider, customEndpointConfig } =
await getProviderConfig(endpoint);
/** @type {TEndpoint | undefined} */
const endpointConfig = req.app.locals[endpoint] ?? customEndpointConfig;
let endpointConfig = req.app.locals[endpoint];
if (!endpointConfig) {
logger.warn(
'[api/server/controllers/agents/client.js #titleConvo] Error getting endpoint config',
);
try {
endpointConfig = await getCustomEndpointConfig(endpoint);
} catch (err) {
logger.error(
'[api/server/controllers/agents/client.js #titleConvo] Error getting custom endpoint config',
err,
);
}
}
if (
endpointConfig &&
endpointConfig.titleModel &&
@@ -1024,50 +1007,30 @@ class AgentClient extends BaseClient {
) {
clientOptions.model = endpointConfig.titleModel;
}
const options = await getOptions({
req,
res,
optionsOnly: true,
overrideEndpoint: endpoint,
overrideModel: clientOptions.model,
endpointOption: { model_parameters: clientOptions },
});
let provider = options.provider ?? overrideProvider ?? agent.provider;
if (
endpoint === EModelEndpoint.azureOpenAI &&
options.llmConfig?.azureOpenAIApiInstanceName == null
clientOptions.model &&
this.options.agent.model_parameters.model !== clientOptions.model
) {
provider = Providers.OPENAI;
clientOptions =
(
await initOpenAI({
req,
res,
optionsOnly: true,
overrideModel: clientOptions.model,
overrideEndpoint: endpoint,
endpointOption: {
model_parameters: clientOptions,
},
})
)?.llmConfig ?? clientOptions;
}
/** @type {import('@librechat/agents').ClientOptions} */
clientOptions = { ...options.llmConfig };
if (options.configOptions) {
clientOptions.configuration = options.configOptions;
}
// Ensure maxTokens is set for non-o1 models
if (!/\b(o\d)\b/i.test(clientOptions.model) && !clientOptions.maxTokens) {
clientOptions.maxTokens = 75;
} else if (/\b(o\d)\b/i.test(clientOptions.model) && clientOptions.maxTokens != null) {
if (/\b(o\d)\b/i.test(clientOptions.model) && clientOptions.maxTokens != null) {
delete clientOptions.maxTokens;
}
clientOptions = Object.assign(
Object.fromEntries(
Object.entries(clientOptions).filter(([key]) => !omitTitleOptions.has(key)),
),
);
if (provider === Providers.GOOGLE) {
clientOptions.json = true;
}
try {
const titleResult = await this.run.generateTitle({
provider,
inputText: text,
contentParts: this.contentParts,
clientOptions,
@@ -1085,10 +1048,8 @@ class AgentClient extends BaseClient {
let input_tokens, output_tokens;
if (item.usage) {
input_tokens =
item.usage.prompt_tokens || item.usage.input_tokens || item.usage.inputTokens;
output_tokens =
item.usage.completion_tokens || item.usage.output_tokens || item.usage.outputTokens;
input_tokens = item.usage.input_tokens || item.usage.inputTokens;
output_tokens = item.usage.output_tokens || item.usage.outputTokens;
} else if (item.tokenUsage) {
input_tokens = item.tokenUsage.promptTokens;
output_tokens = item.tokenUsage.completionTokens;

View File

@@ -1,10 +1,10 @@
// errorHandler.js
const { logger } = require('@librechat/data-schemas');
const { logger } = require('~/config');
const getLogStores = require('~/cache/getLogStores');
const { CacheKeys, ViolationTypes } = require('librechat-data-provider');
const { sendResponse } = require('~/server/middleware/error');
const { recordUsage } = require('~/server/services/Threads');
const { getConvo } = require('~/models/Conversation');
const getLogStores = require('~/cache/getLogStores');
const { sendResponse } = require('~/server/utils');
/**
* @typedef {Object} ErrorHandlerContext
@@ -75,7 +75,7 @@ const createErrorHandler = ({ req, res, getContext, originPath = '/assistants/ch
} else if (/Files.*are invalid/.test(error.message)) {
const errorMessage = `Files are invalid, or may not have uploaded yet.${
endpoint === 'azureAssistants'
? " If using Azure OpenAI, files are only available in the region of the assistant's model at the time of upload."
? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
: ''
}`;
return sendResponse(req, res, messageData, errorMessage);

View File

@@ -0,0 +1,106 @@
const { HttpsProxyAgent } = require('https-proxy-agent');
const { resolveHeaders } = require('librechat-data-provider');
const { createLLM } = require('~/app/clients/llm');
/**
* Initializes and returns a Language Learning Model (LLM) instance.
*
* @param {Object} options - Configuration options for the LLM.
* @param {string} options.model - The model identifier.
* @param {string} options.modelName - The specific name of the model.
* @param {number} options.temperature - The temperature setting for the model.
* @param {number} options.presence_penalty - The presence penalty for the model.
* @param {number} options.frequency_penalty - The frequency penalty for the model.
* @param {number} options.max_tokens - The maximum number of tokens for the model output.
* @param {boolean} options.streaming - Whether to use streaming for the model output.
* @param {Object} options.context - The context for the conversation.
* @param {number} options.tokenBuffer - The token buffer size.
* @param {number} options.initialMessageCount - The initial message count.
* @param {string} options.conversationId - The ID of the conversation.
* @param {string} options.user - The user identifier.
* @param {string} options.langchainProxy - The langchain proxy URL.
* @param {boolean} options.useOpenRouter - Whether to use OpenRouter.
* @param {Object} options.options - Additional options.
* @param {Object} options.options.headers - Custom headers for the request.
* @param {string} options.options.proxy - Proxy URL.
* @param {Object} options.options.req - The request object.
* @param {Object} options.options.res - The response object.
* @param {boolean} options.options.debug - Whether to enable debug mode.
* @param {string} options.apiKey - The API key for authentication.
* @param {Object} options.azure - Azure-specific configuration.
* @param {Object} options.abortController - The AbortController instance.
* @returns {Object} The initialized LLM instance.
*/
function initializeLLM(options) {
const {
model,
modelName,
temperature,
presence_penalty,
frequency_penalty,
max_tokens,
streaming,
user,
langchainProxy,
useOpenRouter,
options: { headers, proxy },
apiKey,
azure,
} = options;
const modelOptions = {
modelName: modelName || model,
temperature,
presence_penalty,
frequency_penalty,
user,
};
if (max_tokens) {
modelOptions.max_tokens = max_tokens;
}
const configOptions = {};
if (langchainProxy) {
configOptions.basePath = langchainProxy;
}
if (useOpenRouter) {
configOptions.basePath = 'https://openrouter.ai/api/v1';
configOptions.baseOptions = {
headers: {
'HTTP-Referer': 'https://librechat.ai',
'X-Title': 'LibreChat',
},
};
}
if (headers && typeof headers === 'object' && !Array.isArray(headers)) {
configOptions.baseOptions = {
headers: resolveHeaders({
...headers,
...configOptions?.baseOptions?.headers,
}),
};
}
if (proxy) {
configOptions.httpAgent = new HttpsProxyAgent(proxy);
configOptions.httpsAgent = new HttpsProxyAgent(proxy);
}
const llm = createLLM({
modelOptions,
configOptions,
openAIApiKey: apiKey,
azure,
streaming,
});
return llm;
}
module.exports = {
initializeLLM,
};

View File

@@ -1,5 +1,3 @@
const { sendEvent } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { Constants } = require('librechat-data-provider');
const {
handleAbortError,
@@ -7,7 +5,9 @@ const {
cleanupAbortController,
} = require('~/server/middleware');
const { disposeClient, clientRegistry, requestDataMap } = require('~/server/cleanup');
const { sendMessage } = require('~/server/utils');
const { saveMessage } = require('~/models');
const { logger } = require('~/config');
const AgentController = async (req, res, next, initializeClient, addTitle) => {
let {
@@ -206,7 +206,7 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
// Create a new response object with minimal copies
const finalResponse = { ...response };
sendEvent(res, {
sendMessage(res, {
final: true,
conversation,
title: conversation.title,

View File

@@ -1,11 +1,10 @@
const fs = require('fs').promises;
const { nanoid } = require('nanoid');
const { logger } = require('@librechat/data-schemas');
const { logger, PermissionBits } = require('@librechat/data-schemas');
const {
Tools,
Constants,
FileSources,
SystemRoles,
FileSources,
EToolResources,
actionDelimiter,
} = require('librechat-data-provider');
@@ -14,16 +13,20 @@ const {
createAgent,
updateAgent,
deleteAgent,
getListAgents,
getListAgentsByAccess,
} = require('~/models/Agent');
const {
grantPermission,
findAccessibleResources,
findPubliclyAccessibleResources,
hasPublicPermission,
} = require('~/server/services/PermissionService');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { resizeAvatar } = require('~/server/services/Files/images/avatar');
const { refreshS3Url } = require('~/server/services/Files/S3/crud');
const { filterFile } = require('~/server/services/Files/process');
const { updateAction, getActions } = require('~/models/Action');
const { getCachedTools } = require('~/server/services/Config');
const { updateAgentProjects } = require('~/models/Agent');
const { getProjectByName } = require('~/models/Project');
const { revertAgentVersion } = require('~/models/Agent');
const { deleteFileByFilter } = require('~/models/File');
@@ -69,6 +72,27 @@ const createAgentHandler = async (req, res) => {
agentData.id = `agent_${nanoid()}`;
const agent = await createAgent(agentData);
// Automatically grant owner permissions to the creator
try {
await grantPermission({
principalType: 'user',
principalId: userId,
resourceType: 'agent',
resourceId: agent._id,
accessRoleId: 'agent_owner',
grantedBy: userId,
});
logger.debug(
`[createAgent] Granted owner permissions to user ${userId} for agent ${agent.id}`,
);
} catch (permissionError) {
logger.error(
`[createAgent] Failed to grant owner permissions for agent ${agent.id}:`,
permissionError,
);
}
res.status(201).json(agent);
} catch (error) {
logger.error('[/Agents] Error creating agent', error);
@@ -87,21 +111,14 @@ const createAgentHandler = async (req, res) => {
* @returns {Promise<Agent>} 200 - success response - application/json
* @returns {Error} 404 - Agent not found
*/
const getAgentHandler = async (req, res) => {
const getAgentHandler = async (req, res, expandProperties = false) => {
try {
const id = req.params.id;
const author = req.user.id;
let query = { id, author };
const globalProject = await getProjectByName(Constants.GLOBAL_PROJECT_NAME, ['agentIds']);
if (globalProject && (globalProject.agentIds?.length ?? 0) > 0) {
query = {
$or: [{ id, $in: globalProject.agentIds }, query],
};
}
const agent = await getAgent(query);
// Permissions are validated by middleware before calling this function
// Simply load the agent by ID
const agent = await getAgent({ id });
if (!agent) {
return res.status(404).json({ error: 'Agent not found' });
@@ -118,23 +135,45 @@ const getAgentHandler = async (req, res) => {
}
agent.author = agent.author.toString();
// @deprecated - isCollaborative replaced by ACL permissions
agent.isCollaborative = !!agent.isCollaborative;
// Check if agent is public
const isPublic = await hasPublicPermission({
resourceType: 'agent',
resourceId: agent._id,
requiredPermissions: PermissionBits.VIEW,
});
agent.isPublic = isPublic;
if (agent.author !== author) {
delete agent.author;
}
if (!agent.isCollaborative && agent.author !== author && req.user.role !== SystemRoles.ADMIN) {
if (!expandProperties) {
// VIEW permission: Basic agent info only
return res.status(200).json({
_id: agent._id,
id: agent.id,
name: agent.name,
description: agent.description,
avatar: agent.avatar,
author: agent.author,
provider: agent.provider,
model: agent.model,
projectIds: agent.projectIds,
// @deprecated - isCollaborative replaced by ACL permissions
isCollaborative: agent.isCollaborative,
isPublic: agent.isPublic,
version: agent.version,
// Safe metadata
createdAt: agent.createdAt,
updatedAt: agent.updatedAt,
});
}
// EDIT permission: Full agent details including sensitive configuration
return res.status(200).json(agent);
} catch (error) {
logger.error('[/Agents/:id] Error retrieving agent', error);
@@ -154,42 +193,20 @@ const getAgentHandler = async (req, res) => {
const updateAgentHandler = async (req, res) => {
try {
const id = req.params.id;
const { projectIds, removeProjectIds, ...updateData } = req.body;
const isAdmin = req.user.role === SystemRoles.ADMIN;
const { _id, ...updateData } = req.body;
const existingAgent = await getAgent({ id });
const isAuthor = existingAgent.author.toString() === req.user.id;
if (!existingAgent) {
return res.status(404).json({ error: 'Agent not found' });
}
const hasEditPermission = existingAgent.isCollaborative || isAdmin || isAuthor;
if (!hasEditPermission) {
return res.status(403).json({
error: 'You do not have permission to modify this non-collaborative agent',
});
}
/** @type {boolean} */
const isProjectUpdate = (projectIds?.length ?? 0) > 0 || (removeProjectIds?.length ?? 0) > 0;
let updatedAgent =
Object.keys(updateData).length > 0
? await updateAgent({ id }, updateData, {
updatingUserId: req.user.id,
skipVersioning: isProjectUpdate,
})
: existingAgent;
if (isProjectUpdate) {
updatedAgent = await updateAgentProjects({
user: req.user,
agentId: id,
projectIds,
removeProjectIds,
});
}
if (updatedAgent.author) {
updatedAgent.author = updatedAgent.author.toString();
}
@@ -307,6 +324,26 @@ const duplicateAgentHandler = async (req, res) => {
newAgentData.actions = agentActions;
const newAgent = await createAgent(newAgentData);
// Automatically grant owner permissions to the duplicator
try {
await grantPermission({
principalType: 'user',
principalId: userId,
resourceType: 'agent',
resourceId: newAgent._id,
accessRoleId: 'agent_owner',
grantedBy: userId,
});
logger.debug(
`[duplicateAgent] Granted owner permissions to user ${userId} for duplicated agent ${newAgent.id}`,
);
} catch (permissionError) {
logger.error(
`[duplicateAgent] Failed to grant owner permissions for duplicated agent ${newAgent.id}:`,
permissionError,
);
}
return res.status(201).json({
agent: newAgent,
actions: newActionsList,
@@ -333,7 +370,7 @@ const deleteAgentHandler = async (req, res) => {
if (!agent) {
return res.status(404).json({ error: 'Agent not found' });
}
await deleteAgent({ id, author: req.user.id });
await deleteAgent({ id });
return res.json({ message: 'Agent deleted' });
} catch (error) {
logger.error('[/Agents/:id] Error deleting Agent', error);
@@ -342,7 +379,7 @@ const deleteAgentHandler = async (req, res) => {
};
/**
*
* Lists agents using ACL-aware permissions (ownership + explicit shares).
* @route GET /Agents
* @param {object} req - Express Request
* @param {object} req.query - Request query
@@ -351,9 +388,31 @@ const deleteAgentHandler = async (req, res) => {
*/
const getListAgentsHandler = async (req, res) => {
try {
const data = await getListAgents({
author: req.user.id,
const userId = req.user.id;
// Get agent IDs the user has VIEW access to via ACL
const accessibleIds = await findAccessibleResources({
userId,
resourceType: 'agent',
requiredPermissions: PermissionBits.VIEW,
});
const publiclyAccessibleIds = await findPubliclyAccessibleResources({
resourceType: 'agent',
requiredPermissions: PermissionBits.VIEW,
});
// Use the new ACL-aware function
const data = await getListAgentsByAccess({
accessibleIds,
otherParams: {}, // Can add query params here if needed
});
if (data?.data?.length) {
data.data = data.data.map((agent) => {
if (publiclyAccessibleIds.some((id) => id.equals(agent._id))) {
agent.isPublic = true;
}
return agent;
});
}
return res.json(data);
} catch (error) {
logger.error('[/Agents] Error listing Agents', error);
@@ -431,7 +490,7 @@ const uploadAgentAvatarHandler = async (req, res) => {
};
promises.push(
await updateAgent({ id: agent_id, author: req.user.id }, data, {
await updateAgent({ id: agent_id }, data, {
updatingUserId: req.user.id,
}),
);

View File

@@ -1,7 +1,4 @@
const { v4 } = require('uuid');
const { sleep } = require('@librechat/agents');
const { sendEvent } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const {
Time,
Constants,
@@ -22,20 +19,20 @@ const {
addThreadMetadata,
saveAssistantMessage,
} = require('~/server/services/Threads');
const { sendResponse, sendMessage, sleep, countTokens } = require('~/server/utils');
const { runAssistant, createOnTextProgress } = require('~/server/services/AssistantService');
const validateAuthor = require('~/server/middleware/assistants/validateAuthor');
const { formatMessage, createVisionPrompt } = require('~/app/clients/prompts');
const { createRun, StreamRunManager } = require('~/server/services/Runs');
const { addTitle } = require('~/server/services/Endpoints/assistants');
const { createRunBody } = require('~/server/services/createRunBody');
const { sendResponse } = require('~/server/middleware/error');
const { getTransactions } = require('~/models/Transaction');
const { checkBalance } = require('~/models/balanceMethods');
const { getConvo } = require('~/models/Conversation');
const getLogStores = require('~/cache/getLogStores');
const { countTokens } = require('~/server/utils');
const { getModelMaxTokens } = require('~/utils');
const { getOpenAIClient } = require('./helpers');
const { logger } = require('~/config');
/**
* @route POST /
@@ -474,7 +471,7 @@ const chatV1 = async (req, res) => {
await Promise.all(promises);
const sendInitialResponse = () => {
sendEvent(res, {
sendMessage(res, {
sync: true,
conversationId,
// messages: previousMessages,
@@ -590,7 +587,7 @@ const chatV1 = async (req, res) => {
iconURL: endpointOption.iconURL,
};
sendEvent(res, {
sendMessage(res, {
final: true,
conversation,
requestMessage: {

View File

@@ -1,7 +1,4 @@
const { v4 } = require('uuid');
const { sleep } = require('@librechat/agents');
const { sendEvent } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const {
Time,
Constants,
@@ -25,14 +22,15 @@ const { createErrorHandler } = require('~/server/controllers/assistants/errors')
const validateAuthor = require('~/server/middleware/assistants/validateAuthor');
const { createRun, StreamRunManager } = require('~/server/services/Runs');
const { addTitle } = require('~/server/services/Endpoints/assistants');
const { sendMessage, sleep, countTokens } = require('~/server/utils');
const { createRunBody } = require('~/server/services/createRunBody');
const { getTransactions } = require('~/models/Transaction');
const { checkBalance } = require('~/models/balanceMethods');
const { getConvo } = require('~/models/Conversation');
const getLogStores = require('~/cache/getLogStores');
const { countTokens } = require('~/server/utils');
const { getModelMaxTokens } = require('~/utils');
const { getOpenAIClient } = require('./helpers');
const { logger } = require('~/config');
/**
* @route POST /
@@ -311,7 +309,7 @@ const chatV2 = async (req, res) => {
await Promise.all(promises);
const sendInitialResponse = () => {
sendEvent(res, {
sendMessage(res, {
sync: true,
conversationId,
// messages: previousMessages,
@@ -434,7 +432,7 @@ const chatV2 = async (req, res) => {
iconURL: endpointOption.iconURL,
};
sendEvent(res, {
sendMessage(res, {
final: true,
conversation,
requestMessage: {

View File

@@ -1,10 +1,10 @@
// errorHandler.js
const { logger } = require('@librechat/data-schemas');
const { CacheKeys, ViolationTypes, ContentTypes } = require('librechat-data-provider');
const { recordUsage, checkMessageGaps } = require('~/server/services/Threads');
const { sendResponse } = require('~/server/middleware/error');
const { getConvo } = require('~/models/Conversation');
const { sendResponse } = require('~/server/utils');
const { logger } = require('~/config');
const getLogStores = require('~/cache/getLogStores');
const { CacheKeys, ViolationTypes, ContentTypes } = require('librechat-data-provider');
const { getConvo } = require('~/models/Conversation');
const { recordUsage, checkMessageGaps } = require('~/server/services/Threads');
/**
* @typedef {Object} ErrorHandlerContext
@@ -78,7 +78,7 @@ const createErrorHandler = ({ req, res, getContext, originPath = '/assistants/ch
} else if (/Files.*are invalid/.test(error.message)) {
const errorMessage = `Files are invalid, or may not have uploaded yet.${
endpoint === 'azureAssistants'
? " If using Azure OpenAI, files are only available in the region of the assistant's model at the time of upload."
? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
: ''
}`;
return sendResponse(req, res, messageData, errorMessage);

View File

@@ -1,7 +1,5 @@
const { nanoid } = require('nanoid');
const { EnvVar } = require('@librechat/agents');
const { checkAccess } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const {
Tools,
AuthType,
@@ -15,8 +13,9 @@ const { processCodeOutput } = require('~/server/services/Files/Code/process');
const { createToolCall, getToolCallsByConvo } = require('~/models/ToolCall');
const { loadAuthValues } = require('~/server/services/Tools/credentials');
const { loadTools } = require('~/app/clients/tools/util');
const { getRoleByName } = require('~/models/Role');
const { checkAccess } = require('~/server/middleware');
const { getMessage } = require('~/models/Message');
const { logger } = require('~/config');
const fieldsMap = {
[Tools.execute_code]: [EnvVar.CODE_API_KEY],
@@ -80,7 +79,6 @@ const verifyToolAuth = async (req, res) => {
throwError: false,
});
} catch (error) {
logger.error('Error loading auth values', error);
res.status(200).json({ authenticated: false, message: AuthType.USER_PROVIDED });
return;
}
@@ -134,12 +132,7 @@ const callTool = async (req, res) => {
logger.debug(`[${toolId}/call] User: ${req.user.id}`);
let hasAccess = true;
if (toolAccessPermType[toolId]) {
hasAccess = await checkAccess({
user: req.user,
permissionType: toolAccessPermType[toolId],
permissions: [Permissions.USE],
getRoleByName,
});
hasAccess = await checkAccess(req.user, toolAccessPermType[toolId], [Permissions.USE]);
}
if (!hasAccess) {
logger.warn(

View File

@@ -39,9 +39,7 @@ const startServer = async () => {
await connectDb();
logger.info('Connected to MongoDB');
indexSync().catch((err) => {
logger.error('[indexSync] Background sync failed:', err);
});
await indexSync();
app.disable('x-powered-by');
app.set('trust proxy', trusted_proxy);
@@ -97,6 +95,7 @@ const startServer = async () => {
app.use('/api/actions', routes.actions);
app.use('/api/keys', routes.keys);
app.use('/api/user', routes.user);
app.use('/api/ask', routes.ask);
app.use('/api/search', routes.search);
app.use('/api/edit', routes.edit);
app.use('/api/messages', routes.messages);
@@ -117,7 +116,10 @@ const startServer = async () => {
app.use('/api/roles', routes.roles);
app.use('/api/agents', routes.agents);
app.use('/api/banner', routes.banner);
app.use('/api/bedrock', routes.bedrock);
app.use('/api/memories', routes.memories);
app.use('/api/permissions', routes.accessPermissions);
app.use('/api/tags', routes.tags);
app.use('/api/mcp', routes.mcp);

View File

@@ -1,13 +1,13 @@
const { logger } = require('@librechat/data-schemas');
const { countTokens, isEnabled, sendEvent } = require('@librechat/api');
// abortMiddleware.js
const { isAssistantsEndpoint, ErrorTypes } = require('librechat-data-provider');
const { sendMessage, sendError, countTokens, isEnabled } = require('~/server/utils');
const { truncateText, smartTruncateText } = require('~/app/clients/prompts');
const clearPendingReq = require('~/cache/clearPendingReq');
const { sendError } = require('~/server/middleware/error');
const { spendTokens } = require('~/models/spendTokens');
const abortControllers = require('./abortControllers');
const { saveMessage, getConvo } = require('~/models');
const { abortRun } = require('./abortRun');
const { logger } = require('~/config');
const abortDataMap = new WeakMap();
@@ -101,7 +101,7 @@ async function abortMessage(req, res) {
cleanupAbortController(abortKey);
if (res.headersSent && finalEvent) {
return sendEvent(res, finalEvent);
return sendMessage(res, finalEvent);
}
res.setHeader('Content-Type', 'application/json');
@@ -174,7 +174,7 @@ const createAbortController = (req, res, getAbortData, getReqData) => {
* @param {string} responseMessageId
*/
const onStart = (userMessage, responseMessageId) => {
sendEvent(res, { message: userMessage, created: true });
sendMessage(res, { message: userMessage, created: true });
const abortKey = userMessage?.conversationId ?? req.user.id;
getReqData({ abortKey });

View File

@@ -1,11 +1,11 @@
const { sendEvent } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { CacheKeys, RunStatus, isUUID } = require('librechat-data-provider');
const { initializeClient } = require('~/server/services/Endpoints/assistants');
const { checkMessageGaps, recordUsage } = require('~/server/services/Threads');
const { deleteMessages } = require('~/models/Message');
const { getConvo } = require('~/models/Conversation');
const getLogStores = require('~/cache/getLogStores');
const { sendMessage } = require('~/server/utils');
const { logger } = require('~/config');
const three_minutes = 1000 * 60 * 3;
@@ -34,7 +34,7 @@ async function abortRun(req, res) {
const [thread_id, run_id] = runValues.split(':');
if (!run_id) {
logger.warn("[abortRun] Couldn't find run for cancel request", { thread_id });
logger.warn('[abortRun] Couldn\'t find run for cancel request', { thread_id });
return res.status(204).send({ message: 'Run not found' });
} else if (run_id === 'cancelled') {
logger.warn('[abortRun] Run already cancelled', { thread_id });
@@ -93,7 +93,7 @@ async function abortRun(req, res) {
};
if (res.headersSent && finalEvent) {
return sendEvent(res, finalEvent);
return sendMessage(res, finalEvent);
}
res.json(finalEvent);

View File

@@ -0,0 +1,97 @@
const { logger } = require('@librechat/data-schemas');
const { Constants, isAgentsEndpoint } = require('librechat-data-provider');
const { canAccessResource } = require('./canAccessResource');
const { getAgent } = require('~/models/Agent');
/**
* Agent ID resolver function for agent_id from request body
* Resolves custom agent ID (e.g., "agent_abc123") to MongoDB ObjectId
* This is used specifically for chat routes where agent_id comes from request body
*
* @param {string} agentCustomId - Custom agent ID from request body
* @returns {Promise<Object|null>} Agent document with _id field, or null if not found
*/
const resolveAgentIdFromBody = async (agentCustomId) => {
// Handle ephemeral agents - they don't need permission checks
if (agentCustomId === Constants.EPHEMERAL_AGENT_ID) {
return null; // No permission check needed for ephemeral agents
}
return await getAgent({ id: agentCustomId });
};
/**
* Middleware factory that creates middleware to check agent access permissions from request body.
* This middleware is specifically designed for chat routes where the agent_id comes from req.body
* instead of route parameters.
*
* @param {Object} options - Configuration options
* @param {number} options.requiredPermission - The permission bit required (1=view, 2=edit, 4=delete, 8=share)
* @returns {Function} Express middleware function
*
* @example
* // Basic usage for agent chat (requires VIEW permission)
* router.post('/chat',
* canAccessAgentFromBody({ requiredPermission: PermissionBits.VIEW }),
* buildEndpointOption,
* chatController
* );
*/
const canAccessAgentFromBody = (options) => {
const { requiredPermission } = options;
// Validate required options
if (!requiredPermission || typeof requiredPermission !== 'number') {
throw new Error('canAccessAgentFromBody: requiredPermission is required and must be a number');
}
return async (req, res, next) => {
try {
const { endpoint, agent_id } = req.body;
let agentId = agent_id;
if (!isAgentsEndpoint(endpoint)) {
agentId = Constants.EPHEMERAL_AGENT_ID;
}
if (!agentId) {
return res.status(400).json({
error: 'Bad Request',
message: 'agent_id is required in request body',
});
}
// Skip permission checks for ephemeral agents
if (agentId === Constants.EPHEMERAL_AGENT_ID) {
return next();
}
const agentAccessMiddleware = canAccessResource({
resourceType: 'agent',
requiredPermission,
resourceIdParam: 'agent_id', // This will be ignored since we use custom resolver
idResolver: () => resolveAgentIdFromBody(agentId),
});
const tempReq = {
...req,
params: {
...req.params,
agent_id: agentId,
},
};
return agentAccessMiddleware(tempReq, res, next);
} catch (error) {
logger.error('Failed to validate agent access permissions', error);
return res.status(500).json({
error: 'Internal Server Error',
message: 'Failed to validate agent access permissions',
});
}
};
};
module.exports = {
canAccessAgentFromBody,
};

View File

@@ -0,0 +1,58 @@
const { getAgent } = require('~/models/Agent');
const { canAccessResource } = require('./canAccessResource');
/**
* Agent ID resolver function
* Resolves custom agent ID (e.g., "agent_abc123") to MongoDB ObjectId
*
* @param {string} agentCustomId - Custom agent ID from route parameter
* @returns {Promise<Object|null>} Agent document with _id field, or null if not found
*/
const resolveAgentId = async (agentCustomId) => {
return await getAgent({ id: agentCustomId });
};
/**
* Agent-specific middleware factory that creates middleware to check agent access permissions.
* This middleware extends the generic canAccessResource to handle agent custom ID resolution.
*
* @param {Object} options - Configuration options
* @param {number} options.requiredPermission - The permission bit required (1=view, 2=edit, 4=delete, 8=share)
* @param {string} [options.resourceIdParam='id'] - The name of the route parameter containing the agent custom ID
* @returns {Function} Express middleware function
*
* @example
* // Basic usage for viewing agents
* router.get('/agents/:id',
* canAccessAgentResource({ requiredPermission: 1 }),
* getAgent
* );
*
* @example
* // Custom resource ID parameter and edit permission
* router.patch('/agents/:agent_id',
* canAccessAgentResource({
* requiredPermission: 2,
* resourceIdParam: 'agent_id'
* }),
* updateAgent
* );
*/
const canAccessAgentResource = (options) => {
const { requiredPermission, resourceIdParam = 'id' } = options;
if (!requiredPermission || typeof requiredPermission !== 'number') {
throw new Error('canAccessAgentResource: requiredPermission is required and must be a number');
}
return canAccessResource({
resourceType: 'agent',
requiredPermission,
resourceIdParam,
idResolver: resolveAgentId,
});
};
module.exports = {
canAccessAgentResource,
};

View File

@@ -0,0 +1,384 @@
const mongoose = require('mongoose');
const { MongoMemoryServer } = require('mongodb-memory-server');
const { canAccessAgentResource } = require('./canAccessAgentResource');
const { User, Role, AclEntry } = require('~/db/models');
const { createAgent } = require('~/models/Agent');
describe('canAccessAgentResource middleware', () => {
let mongoServer;
let req, res, next;
let testUser;
beforeAll(async () => {
mongoServer = await MongoMemoryServer.create();
const mongoUri = mongoServer.getUri();
await mongoose.connect(mongoUri);
});
afterAll(async () => {
await mongoose.disconnect();
await mongoServer.stop();
});
beforeEach(async () => {
await mongoose.connection.dropDatabase();
await Role.create({
name: 'test-role',
permissions: {
AGENTS: {
USE: true,
CREATE: true,
SHARED_GLOBAL: false,
},
},
});
// Create a test user
testUser = await User.create({
email: 'test@example.com',
name: 'Test User',
username: 'testuser',
role: 'test-role',
});
req = {
user: { id: testUser._id.toString(), role: 'test-role' },
params: {},
};
res = {
status: jest.fn().mockReturnThis(),
json: jest.fn(),
};
next = jest.fn();
jest.clearAllMocks();
});
describe('middleware factory', () => {
test('should throw error if requiredPermission is not provided', () => {
expect(() => canAccessAgentResource({})).toThrow(
'canAccessAgentResource: requiredPermission is required and must be a number',
);
});
test('should throw error if requiredPermission is not a number', () => {
expect(() => canAccessAgentResource({ requiredPermission: '1' })).toThrow(
'canAccessAgentResource: requiredPermission is required and must be a number',
);
});
test('should create middleware with default resourceIdParam', () => {
const middleware = canAccessAgentResource({ requiredPermission: 1 });
expect(typeof middleware).toBe('function');
expect(middleware.length).toBe(3); // Express middleware signature
});
test('should create middleware with custom resourceIdParam', () => {
const middleware = canAccessAgentResource({
requiredPermission: 2,
resourceIdParam: 'agent_id',
});
expect(typeof middleware).toBe('function');
expect(middleware.length).toBe(3);
});
});
describe('permission checking with real agents', () => {
test('should allow access when user is the agent author', async () => {
// Create an agent owned by the test user
const agent = await createAgent({
id: `agent_${Date.now()}`,
name: 'Test Agent',
provider: 'openai',
model: 'gpt-4',
author: testUser._id,
});
// Create ACL entry for the author (owner permissions)
await AclEntry.create({
principalType: 'user',
principalId: testUser._id,
principalModel: 'User',
resourceType: 'agent',
resourceId: agent._id,
permBits: 15, // All permissions (1+2+4+8)
grantedBy: testUser._id,
});
req.params.id = agent.id;
const middleware = canAccessAgentResource({ requiredPermission: 1 }); // VIEW permission
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
expect(res.status).not.toHaveBeenCalled();
});
test('should deny access when user is not the author and has no ACL entry', async () => {
// Create an agent owned by a different user
const otherUser = await User.create({
email: 'other@example.com',
name: 'Other User',
username: 'otheruser',
role: 'test-role',
});
const agent = await createAgent({
id: `agent_${Date.now()}`,
name: 'Other User Agent',
provider: 'openai',
model: 'gpt-4',
author: otherUser._id,
});
// Create ACL entry for the other user (owner)
await AclEntry.create({
principalType: 'user',
principalId: otherUser._id,
principalModel: 'User',
resourceType: 'agent',
resourceId: agent._id,
permBits: 15, // All permissions
grantedBy: otherUser._id,
});
req.params.id = agent.id;
const middleware = canAccessAgentResource({ requiredPermission: 1 }); // VIEW permission
await middleware(req, res, next);
expect(next).not.toHaveBeenCalled();
expect(res.status).toHaveBeenCalledWith(403);
expect(res.json).toHaveBeenCalledWith({
error: 'Forbidden',
message: 'Insufficient permissions to access this agent',
});
});
test('should allow access when user has ACL entry with sufficient permissions', async () => {
// Create an agent owned by a different user
const otherUser = await User.create({
email: 'other2@example.com',
name: 'Other User 2',
username: 'otheruser2',
role: 'test-role',
});
const agent = await createAgent({
id: `agent_${Date.now()}`,
name: 'Shared Agent',
provider: 'openai',
model: 'gpt-4',
author: otherUser._id,
});
// Create ACL entry granting view permission to test user
await AclEntry.create({
principalType: 'user',
principalId: testUser._id,
principalModel: 'User',
resourceType: 'agent',
resourceId: agent._id,
permBits: 1, // VIEW permission
grantedBy: otherUser._id,
});
req.params.id = agent.id;
const middleware = canAccessAgentResource({ requiredPermission: 1 }); // VIEW permission
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
expect(res.status).not.toHaveBeenCalled();
});
test('should deny access when ACL permissions are insufficient', async () => {
// Create an agent owned by a different user
const otherUser = await User.create({
email: 'other3@example.com',
name: 'Other User 3',
username: 'otheruser3',
role: 'test-role',
});
const agent = await createAgent({
id: `agent_${Date.now()}`,
name: 'Limited Access Agent',
provider: 'openai',
model: 'gpt-4',
author: otherUser._id,
});
// Create ACL entry granting only view permission
await AclEntry.create({
principalType: 'user',
principalId: testUser._id,
principalModel: 'User',
resourceType: 'agent',
resourceId: agent._id,
permBits: 1, // VIEW permission only
grantedBy: otherUser._id,
});
req.params.id = agent.id;
const middleware = canAccessAgentResource({ requiredPermission: 2 }); // EDIT permission required
await middleware(req, res, next);
expect(next).not.toHaveBeenCalled();
expect(res.status).toHaveBeenCalledWith(403);
expect(res.json).toHaveBeenCalledWith({
error: 'Forbidden',
message: 'Insufficient permissions to access this agent',
});
});
test('should handle non-existent agent', async () => {
req.params.id = 'agent_nonexistent';
const middleware = canAccessAgentResource({ requiredPermission: 1 });
await middleware(req, res, next);
expect(next).not.toHaveBeenCalled();
expect(res.status).toHaveBeenCalledWith(404);
expect(res.json).toHaveBeenCalledWith({
error: 'Not Found',
message: 'agent not found',
});
});
test('should use custom resourceIdParam', async () => {
const agent = await createAgent({
id: `agent_${Date.now()}`,
name: 'Custom Param Agent',
provider: 'openai',
model: 'gpt-4',
author: testUser._id,
});
// Create ACL entry for the author
await AclEntry.create({
principalType: 'user',
principalId: testUser._id,
principalModel: 'User',
resourceType: 'agent',
resourceId: agent._id,
permBits: 15, // All permissions
grantedBy: testUser._id,
});
req.params.agent_id = agent.id; // Using custom param name
const middleware = canAccessAgentResource({
requiredPermission: 1,
resourceIdParam: 'agent_id',
});
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
expect(res.status).not.toHaveBeenCalled();
});
});
describe('permission levels', () => {
let agent;
beforeEach(async () => {
agent = await createAgent({
id: `agent_${Date.now()}`,
name: 'Permission Test Agent',
provider: 'openai',
model: 'gpt-4',
author: testUser._id,
});
// Create ACL entry with all permissions for the owner
await AclEntry.create({
principalType: 'user',
principalId: testUser._id,
principalModel: 'User',
resourceType: 'agent',
resourceId: agent._id,
permBits: 15, // All permissions (1+2+4+8)
grantedBy: testUser._id,
});
req.params.id = agent.id;
});
test('should support view permission (1)', async () => {
const middleware = canAccessAgentResource({ requiredPermission: 1 });
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
});
test('should support edit permission (2)', async () => {
const middleware = canAccessAgentResource({ requiredPermission: 2 });
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
});
test('should support delete permission (4)', async () => {
const middleware = canAccessAgentResource({ requiredPermission: 4 });
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
});
test('should support share permission (8)', async () => {
const middleware = canAccessAgentResource({ requiredPermission: 8 });
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
});
test('should support combined permissions', async () => {
const viewAndEdit = 1 | 2; // 3
const middleware = canAccessAgentResource({ requiredPermission: viewAndEdit });
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
});
});
describe('integration with agent operations', () => {
test('should work with agent CRUD operations', async () => {
const agentId = `agent_${Date.now()}`;
// Create agent
const agent = await createAgent({
id: agentId,
name: 'Integration Test Agent',
provider: 'openai',
model: 'gpt-4',
author: testUser._id,
description: 'Testing integration',
});
// Create ACL entry for the author
await AclEntry.create({
principalType: 'user',
principalId: testUser._id,
principalModel: 'User',
resourceType: 'agent',
resourceId: agent._id,
permBits: 15, // All permissions
grantedBy: testUser._id,
});
req.params.id = agentId;
// Test view access
const viewMiddleware = canAccessAgentResource({ requiredPermission: 1 });
await viewMiddleware(req, res, next);
expect(next).toHaveBeenCalled();
jest.clearAllMocks();
// Update the agent
const { updateAgent } = require('~/models/Agent');
await updateAgent({ id: agentId }, { description: 'Updated description' });
// Test edit access
const editMiddleware = canAccessAgentResource({ requiredPermission: 2 });
await editMiddleware(req, res, next);
expect(next).toHaveBeenCalled();
});
});
});

View File

@@ -0,0 +1,157 @@
const { logger } = require('@librechat/data-schemas');
const { SystemRoles } = require('librechat-data-provider');
const { checkPermission } = require('~/server/services/PermissionService');
/**
* Generic base middleware factory that creates middleware to check resource access permissions.
* This middleware expects MongoDB ObjectIds as resource identifiers for ACL permission checks.
*
* @param {Object} options - Configuration options
* @param {string} options.resourceType - The type of resource (e.g., 'agent', 'file', 'project')
* @param {number} options.requiredPermission - The permission bit required (1=view, 2=edit, 4=delete, 8=share)
* @param {string} [options.resourceIdParam='resourceId'] - The name of the route parameter containing the resource ID
* @param {Function} [options.idResolver] - Optional function to resolve custom IDs to ObjectIds
* @returns {Function} Express middleware function
*
* @example
* // Direct usage with ObjectId (for resources that use MongoDB ObjectId in routes)
* router.get('/prompts/:promptId',
* canAccessResource({ resourceType: 'prompt', requiredPermission: 1 }),
* getPrompt
* );
*
* @example
* // Usage with custom ID resolver (for resources that use custom string IDs)
* router.get('/agents/:id',
* canAccessResource({
* resourceType: 'agent',
* requiredPermission: 1,
* resourceIdParam: 'id',
* idResolver: (customId) => resolveAgentId(customId)
* }),
* getAgent
* );
*/
const canAccessResource = (options) => {
const {
resourceType,
requiredPermission,
resourceIdParam = 'resourceId',
idResolver = null,
} = options;
if (!resourceType || typeof resourceType !== 'string') {
throw new Error('canAccessResource: resourceType is required and must be a string');
}
if (!requiredPermission || typeof requiredPermission !== 'number') {
throw new Error('canAccessResource: requiredPermission is required and must be a number');
}
return async (req, res, next) => {
try {
// Extract resource ID from route parameters
const rawResourceId = req.params[resourceIdParam];
if (!rawResourceId) {
logger.warn(`[canAccessResource] Missing ${resourceIdParam} in route parameters`);
return res.status(400).json({
error: 'Bad Request',
message: `${resourceIdParam} is required`,
});
}
// Check if user is authenticated
if (!req.user || !req.user.id) {
logger.warn(
`[canAccessResource] Unauthenticated request for ${resourceType} ${rawResourceId}`,
);
return res.status(401).json({
error: 'Unauthorized',
message: 'Authentication required',
});
}
// if system admin let through
if (req.user.role === SystemRoles.ADMIN) {
return next();
}
const userId = req.user.id;
let resourceId = rawResourceId;
let resourceInfo = null;
// Resolve custom ID to ObjectId if resolver is provided
if (idResolver) {
logger.debug(
`[canAccessResource] Resolving ${resourceType} custom ID ${rawResourceId} to ObjectId`,
);
const resolutionResult = await idResolver(rawResourceId);
if (!resolutionResult) {
logger.warn(`[canAccessResource] ${resourceType} not found: ${rawResourceId}`);
return res.status(404).json({
error: 'Not Found',
message: `${resourceType} not found`,
});
}
// Handle different resolver return formats
if (typeof resolutionResult === 'string' || resolutionResult._id) {
resourceId = resolutionResult._id || resolutionResult;
resourceInfo = typeof resolutionResult === 'object' ? resolutionResult : null;
} else {
resourceId = resolutionResult;
}
logger.debug(
`[canAccessResource] Resolved ${resourceType} ${rawResourceId} to ObjectId ${resourceId}`,
);
}
// Check permissions using PermissionService with ObjectId
const hasPermission = await checkPermission({
userId,
resourceType,
resourceId,
requiredPermission,
});
if (hasPermission) {
logger.debug(
`[canAccessResource] User ${userId} has permission ${requiredPermission} on ${resourceType} ${rawResourceId} (${resourceId})`,
);
req.resourceAccess = {
resourceType,
resourceId, // MongoDB ObjectId for ACL operations
customResourceId: rawResourceId, // Original ID from route params
permission: requiredPermission,
userId,
...(resourceInfo && { resourceInfo }),
};
return next();
}
logger.warn(
`[canAccessResource] User ${userId} denied access to ${resourceType} ${rawResourceId} ` +
`(required permission: ${requiredPermission})`,
);
return res.status(403).json({
error: 'Forbidden',
message: `Insufficient permissions to access this ${resourceType}`,
});
} catch (error) {
logger.error(`[canAccessResource] Error checking access for ${resourceType}:`, error);
return res.status(500).json({
error: 'Internal Server Error',
message: 'Failed to check resource access permissions',
});
}
};
};
module.exports = {
canAccessResource,
};

View File

@@ -0,0 +1,9 @@
const { canAccessResource } = require('./canAccessResource');
const { canAccessAgentResource } = require('./canAccessAgentResource');
const { canAccessAgentFromBody } = require('./canAccessAgentFromBody');
module.exports = {
canAccessResource,
canAccessAgentResource,
canAccessAgentFromBody,
};

View File

@@ -1,12 +1,13 @@
const { logger } = require('@librechat/data-schemas');
const {
EndpointURLs,
parseCompactConvo,
EModelEndpoint,
isAgentsEndpoint,
parseCompactConvo,
EndpointURLs,
} = require('librechat-data-provider');
const azureAssistants = require('~/server/services/Endpoints/azureAssistants');
const { getModelsConfig } = require('~/server/controllers/ModelController');
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');
@@ -24,6 +25,7 @@ const buildFunction = {
[EModelEndpoint.bedrock]: bedrock.buildOptions,
[EModelEndpoint.azureOpenAI]: openAI.buildOptions,
[EModelEndpoint.anthropic]: anthropic.buildOptions,
[EModelEndpoint.gptPlugins]: gptPlugins.buildOptions,
[EModelEndpoint.assistants]: assistants.buildOptions,
[EModelEndpoint.azureAssistants]: azureAssistants.buildOptions,
};
@@ -34,9 +36,6 @@ async function buildEndpointOption(req, res, next) {
try {
parsedBody = parseCompactConvo({ endpoint, endpointType, conversation: req.body });
} catch (error) {
logger.warn(
`Error parsing conversation for endpoint ${endpoint}${error?.message ? `: ${error.message}` : ''}`,
);
return handleError(res, { text: 'Error parsing conversation' });
}
@@ -58,6 +57,15 @@ async function buildEndpointOption(req, res, next) {
return handleError(res, { text: 'Model spec mismatch' });
}
if (
currentModelSpec.preset.endpoint !== EModelEndpoint.gptPlugins &&
currentModelSpec.preset.tools
) {
return handleError(res, {
text: `Only the "${EModelEndpoint.gptPlugins}" endpoint can have tools defined in the preset`,
});
}
try {
currentModelSpec.preset.spec = spec;
if (currentModelSpec.iconURL != null && currentModelSpec.iconURL !== '') {
@@ -69,7 +77,6 @@ async function buildEndpointOption(req, res, next) {
conversation: currentModelSpec.preset,
});
} catch (error) {
logger.error(`Error parsing model spec for endpoint ${endpoint}`, error);
return handleError(res, { text: 'Error parsing model spec' });
}
}
@@ -77,23 +84,20 @@ async function buildEndpointOption(req, res, next) {
try {
const isAgents =
isAgentsEndpoint(endpoint) || req.baseUrl.startsWith(EndpointURLs[EModelEndpoint.agents]);
const builder = isAgents
? (...args) => buildFunction[EModelEndpoint.agents](req, ...args)
: buildFunction[endpointType ?? endpoint];
const endpointFn = buildFunction[isAgents ? EModelEndpoint.agents : (endpointType ?? endpoint)];
const builder = isAgents ? (...args) => endpointFn(req, ...args) : endpointFn;
// TODO: use object params
req.body.endpointOption = await builder(endpoint, parsedBody, endpointType);
// TODO: use `getModelsConfig` only when necessary
const modelsConfig = await getModelsConfig(req);
req.body.endpointOption.modelsConfig = modelsConfig;
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' });
}
}

View File

@@ -1,7 +1,6 @@
const crypto = require('crypto');
const { sendEvent } = require('@librechat/api');
const { getResponseSender, Constants } = require('librechat-data-provider');
const { sendError } = require('~/server/middleware/error');
const { sendMessage, sendError } = require('~/server/utils');
const { saveMessage } = require('~/models');
/**
@@ -37,7 +36,7 @@ const denyRequest = async (req, res, errorMessage) => {
isCreatedByUser: true,
text,
};
sendEvent(res, { message: userMessage, created: true });
sendMessage(res, { message: userMessage, created: true });
const shouldSaveMessage = _convoId && parentMessageId && parentMessageId !== Constants.NO_PARENT;

View File

@@ -8,6 +8,7 @@ const concurrentLimiter = require('./concurrentLimiter');
const validateEndpoint = require('./validateEndpoint');
const requireLocalAuth = require('./requireLocalAuth');
const canDeleteAccount = require('./canDeleteAccount');
const accessResources = require('./accessResources');
const setBalanceConfig = require('./setBalanceConfig');
const requireLdapAuth = require('./requireLdapAuth');
const abortMiddleware = require('./abortMiddleware');
@@ -29,6 +30,7 @@ module.exports = {
...validate,
...limiters,
...roles,
...accessResources,
noIndex,
checkBan,
uaParser,

View File

@@ -0,0 +1,78 @@
const { getRoleByName } = require('~/models/Role');
const { logger } = require('~/config');
/**
* Core function to check if a user has one or more required permissions
*
* @param {object} user - The user object
* @param {PermissionTypes} permissionType - The type of permission to check
* @param {Permissions[]} permissions - The list of specific permissions to check
* @param {Record<Permissions, string[]>} [bodyProps] - An optional object where keys are permissions and values are arrays of properties to check
* @param {object} [checkObject] - The object to check properties against
* @returns {Promise<boolean>} Whether the user has the required permissions
*/
const checkAccess = async (user, permissionType, permissions, bodyProps = {}, checkObject = {}) => {
if (!user) {
return false;
}
const role = await getRoleByName(user.role);
if (role && role.permissions && role.permissions[permissionType]) {
const hasAnyPermission = permissions.some((permission) => {
if (role.permissions[permissionType][permission]) {
return true;
}
if (bodyProps[permission] && checkObject) {
return bodyProps[permission].some((prop) =>
Object.prototype.hasOwnProperty.call(checkObject, prop),
);
}
return false;
});
return hasAnyPermission;
}
return false;
};
/**
* Middleware to check if a user has one or more required permissions, optionally based on `req.body` properties.
*
* @param {PermissionTypes} permissionType - The type of permission to check.
* @param {Permissions[]} permissions - The list of specific permissions to check.
* @param {Record<Permissions, string[]>} [bodyProps] - An optional object where keys are permissions and values are arrays of `req.body` properties to check.
* @returns {(req: ServerRequest, res: ServerResponse, next: NextFunction) => Promise<void>} Express middleware function.
*/
const generateCheckAccess = (permissionType, permissions, bodyProps = {}) => {
return async (req, res, next) => {
try {
const hasAccess = await checkAccess(
req.user,
permissionType,
permissions,
bodyProps,
req.body,
);
if (hasAccess) {
return next();
}
logger.warn(
`[${permissionType}] Forbidden: Insufficient permissions for User ${req.user.id}: ${permissions.join(', ')}`,
);
return res.status(403).json({ message: 'Forbidden: Insufficient permissions' });
} catch (error) {
logger.error(error);
return res.status(500).json({ message: `Server error: ${error.message}` });
}
};
};
module.exports = {
checkAccess,
generateCheckAccess,
};

View File

@@ -0,0 +1,251 @@
const mongoose = require('mongoose');
const { MongoMemoryServer } = require('mongodb-memory-server');
const { checkAccess, generateCheckAccess } = require('./access');
const { PermissionTypes, Permissions } = require('librechat-data-provider');
const { Role } = require('~/db/models');
// Mock only the logger
jest.mock('~/config', () => ({
logger: {
warn: jest.fn(),
error: jest.fn(),
},
}));
describe('Access Middleware', () => {
let mongoServer;
let req, res, next;
beforeAll(async () => {
mongoServer = await MongoMemoryServer.create();
const mongoUri = mongoServer.getUri();
await mongoose.connect(mongoUri);
});
afterAll(async () => {
await mongoose.disconnect();
await mongoServer.stop();
});
beforeEach(async () => {
await mongoose.connection.dropDatabase();
// Create test roles
await Role.create({
name: 'user',
permissions: {
[PermissionTypes.AGENTS]: {
[Permissions.USE]: true,
[Permissions.CREATE]: false,
[Permissions.SHARED_GLOBAL]: false,
},
},
});
await Role.create({
name: 'admin',
permissions: {
[PermissionTypes.AGENTS]: {
[Permissions.USE]: true,
[Permissions.CREATE]: true,
[Permissions.SHARED_GLOBAL]: true,
},
},
});
req = {
user: { id: 'user123', role: 'user' },
body: {},
};
res = {
status: jest.fn().mockReturnThis(),
json: jest.fn(),
};
next = jest.fn();
jest.clearAllMocks();
});
describe('checkAccess', () => {
test('should return false if user is not provided', async () => {
const result = await checkAccess(null, PermissionTypes.AGENTS, [Permissions.USE]);
expect(result).toBe(false);
});
test('should return true if user has required permission', async () => {
const result = await checkAccess(req.user, PermissionTypes.AGENTS, [Permissions.USE]);
expect(result).toBe(true);
});
test('should return false if user lacks required permission', async () => {
const result = await checkAccess(req.user, PermissionTypes.AGENTS, [Permissions.CREATE]);
expect(result).toBe(false);
});
test('should return true if user has any of multiple permissions', async () => {
const result = await checkAccess(req.user, PermissionTypes.AGENTS, [
Permissions.USE,
Permissions.CREATE,
]);
expect(result).toBe(true);
});
test('should check body properties when permission is not directly granted', async () => {
// User role doesn't have CREATE permission, but bodyProps allows it
const bodyProps = {
[Permissions.CREATE]: ['agentId', 'name'],
};
const checkObject = { agentId: 'agent123' };
const result = await checkAccess(
req.user,
PermissionTypes.AGENTS,
[Permissions.CREATE],
bodyProps,
checkObject,
);
expect(result).toBe(true);
});
test('should return false if role is not found', async () => {
req.user.role = 'nonexistent';
const result = await checkAccess(req.user, PermissionTypes.AGENTS, [Permissions.USE]);
expect(result).toBe(false);
});
test('should return false if role has no permissions for the requested type', async () => {
await Role.create({
name: 'limited',
permissions: {
// Explicitly set AGENTS permissions to false
[PermissionTypes.AGENTS]: {
[Permissions.USE]: false,
[Permissions.CREATE]: false,
[Permissions.SHARED_GLOBAL]: false,
},
// Has permissions for other types
[PermissionTypes.PROMPTS]: {
[Permissions.USE]: true,
},
},
});
req.user.role = 'limited';
const result = await checkAccess(req.user, PermissionTypes.AGENTS, [Permissions.USE]);
expect(result).toBe(false);
});
test('should handle admin role with all permissions', async () => {
req.user.role = 'admin';
const createResult = await checkAccess(req.user, PermissionTypes.AGENTS, [
Permissions.CREATE,
]);
expect(createResult).toBe(true);
const shareResult = await checkAccess(req.user, PermissionTypes.AGENTS, [
Permissions.SHARED_GLOBAL,
]);
expect(shareResult).toBe(true);
});
});
describe('generateCheckAccess', () => {
test('should call next() when user has required permission', async () => {
const middleware = generateCheckAccess(PermissionTypes.AGENTS, [Permissions.USE]);
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
expect(res.status).not.toHaveBeenCalled();
});
test('should return 403 when user lacks permission', async () => {
const middleware = generateCheckAccess(PermissionTypes.AGENTS, [Permissions.CREATE]);
await middleware(req, res, next);
expect(next).not.toHaveBeenCalled();
expect(res.status).toHaveBeenCalledWith(403);
expect(res.json).toHaveBeenCalledWith({ message: 'Forbidden: Insufficient permissions' });
});
test('should check body properties when configured', async () => {
req.body = { agentId: 'agent123', description: 'test' };
const bodyProps = {
[Permissions.CREATE]: ['agentId'],
};
const middleware = generateCheckAccess(
PermissionTypes.AGENTS,
[Permissions.CREATE],
bodyProps,
);
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
expect(res.status).not.toHaveBeenCalled();
});
test('should handle database errors gracefully', async () => {
// Create a user with an invalid role that will cause getRoleByName to fail
req.user.role = { invalid: 'object' }; // This will cause an error when querying
const middleware = generateCheckAccess(PermissionTypes.AGENTS, [Permissions.USE]);
await middleware(req, res, next);
expect(next).not.toHaveBeenCalled();
expect(res.status).toHaveBeenCalledWith(500);
expect(res.json).toHaveBeenCalledWith({
message: expect.stringContaining('Server error:'),
});
});
test('should work with multiple permission types', async () => {
req.user.role = 'admin';
const middleware = generateCheckAccess(PermissionTypes.AGENTS, [
Permissions.USE,
Permissions.CREATE,
Permissions.SHARED_GLOBAL,
]);
await middleware(req, res, next);
expect(next).toHaveBeenCalled();
});
test('should handle missing user gracefully', async () => {
req.user = null;
const middleware = generateCheckAccess(PermissionTypes.AGENTS, [Permissions.USE]);
await middleware(req, res, next);
expect(next).not.toHaveBeenCalled();
expect(res.status).toHaveBeenCalledWith(500);
expect(res.json).toHaveBeenCalledWith({
message: expect.stringContaining('Server error:'),
});
});
test('should handle role with no AGENTS permissions', async () => {
await Role.create({
name: 'noaccess',
permissions: {
// Explicitly set AGENTS with all permissions false
[PermissionTypes.AGENTS]: {
[Permissions.USE]: false,
[Permissions.CREATE]: false,
[Permissions.SHARED_GLOBAL]: false,
},
},
});
req.user.role = 'noaccess';
const middleware = generateCheckAccess(PermissionTypes.AGENTS, [Permissions.USE]);
await middleware(req, res, next);
expect(next).not.toHaveBeenCalled();
expect(res.status).toHaveBeenCalledWith(403);
expect(res.json).toHaveBeenCalledWith({ message: 'Forbidden: Insufficient permissions' });
});
});
});

View File

@@ -1,5 +1,8 @@
const checkAdmin = require('./admin');
const { checkAccess, generateCheckAccess } = require('./access');
module.exports = {
checkAdmin,
checkAccess,
generateCheckAccess,
};

View File

@@ -0,0 +1,62 @@
const express = require('express');
const { PermissionBits } = require('@librechat/data-schemas');
const {
getUserEffectivePermissions,
updateResourcePermissions,
getResourcePermissions,
getResourceRoles,
searchPrincipals,
} = require('~/server/controllers/PermissionsController');
const { requireJwtAuth, checkBan, uaParser, canAccessResource } = require('~/server/middleware');
const router = express.Router();
// Apply common middleware
router.use(requireJwtAuth);
router.use(checkBan);
router.use(uaParser);
/**
* Generic routes for resource permissions
* Pattern: /api/permissions/{resourceType}/{resourceId}
*/
/**
* GET /api/permissions/search-principals
* Search for users and groups to grant permissions
*/
router.get('/search-principals', searchPrincipals);
/**
* GET /api/permissions/{resourceType}/roles
* Get available roles for a resource type
*/
router.get('/:resourceType/roles', getResourceRoles);
/**
* GET /api/permissions/{resourceType}/{resourceId}
* Get all permissions for a specific resource
*/
router.get('/:resourceType/:resourceId', getResourcePermissions);
/**
* PUT /api/permissions/{resourceType}/{resourceId}
* Bulk update permissions for a specific resource
*/
router.put(
'/:resourceType/:resourceId',
canAccessResource({
resourceType: 'agent',
requiredPermission: PermissionBits.SHARE,
resourceIdParam: 'resourceId',
}),
updateResourcePermissions,
);
/**
* GET /api/permissions/{resourceType}/{resourceId}/effective
* Get user's effective permissions for a specific resource
*/
router.get('/:resourceType/:resourceId/effective', getUserEffectivePermissions);
module.exports = router;

View File

@@ -1,34 +1,15 @@
const express = require('express');
const { nanoid } = require('nanoid');
const { logger } = require('@librechat/data-schemas');
const { generateCheckAccess } = require('@librechat/api');
const {
SystemRoles,
Permissions,
PermissionTypes,
actionDelimiter,
removeNullishValues,
} = require('librechat-data-provider');
const { logger, PermissionBits } = require('@librechat/data-schemas');
const { actionDelimiter, removeNullishValues } = require('librechat-data-provider');
const { encryptMetadata, domainParser } = require('~/server/services/ActionService');
const { updateAction, getActions, deleteAction } = require('~/models/Action');
const { isActionDomainAllowed } = require('~/server/services/domains');
const { canAccessAgentResource } = require('~/server/middleware');
const { getAgent, updateAgent } = require('~/models/Agent');
const { getRoleByName } = require('~/models/Role');
const router = express.Router();
const checkAgentCreate = generateCheckAccess({
permissionType: PermissionTypes.AGENTS,
permissions: [Permissions.USE, Permissions.CREATE],
getRoleByName,
});
// If the user has ADMIN role
// then action edition is possible even if not owner of the assistant
const isAdmin = (req) => {
return req.user.role === SystemRoles.ADMIN;
};
/**
* Retrieves all user's actions
* @route GET /actions/
@@ -37,9 +18,8 @@ const isAdmin = (req) => {
*/
router.get('/', async (req, res) => {
try {
const admin = isAdmin(req);
// If admin, get all actions, otherwise only user's actions
const searchParams = admin ? {} : { user: req.user.id };
// Get all actions for the user (admin permissions handled by middleware if needed)
const searchParams = { user: req.user.id };
res.json(await getActions(searchParams));
} catch (error) {
res.status(500).json({ error: error.message });
@@ -55,106 +35,110 @@ router.get('/', async (req, res) => {
* @param {ActionMetadata} req.body.metadata - Metadata for the action.
* @returns {Object} 200 - success response - application/json
*/
router.post('/:agent_id', checkAgentCreate, async (req, res) => {
try {
const { agent_id } = req.params;
router.post(
'/:agent_id',
canAccessAgentResource({
requiredPermission: PermissionBits.EDIT,
resourceIdParam: 'agent_id',
}),
async (req, res) => {
try {
const { agent_id } = req.params;
/** @type {{ functions: FunctionTool[], action_id: string, metadata: ActionMetadata }} */
const { functions, action_id: _action_id, metadata: _metadata } = req.body;
if (!functions.length) {
return res.status(400).json({ message: 'No functions provided' });
}
let metadata = await encryptMetadata(removeNullishValues(_metadata, true));
const isDomainAllowed = await isActionDomainAllowed(metadata.domain);
if (!isDomainAllowed) {
return res.status(400).json({ message: 'Domain not allowed' });
}
let { domain } = metadata;
domain = await domainParser(domain, true);
if (!domain) {
return res.status(400).json({ message: 'No domain provided' });
}
const action_id = _action_id ?? nanoid();
const initialPromises = [];
const admin = isAdmin(req);
// If admin, can edit any agent, otherwise only user's agents
const agentQuery = admin ? { id: agent_id } : { id: agent_id, author: req.user.id };
// TODO: share agents
initialPromises.push(getAgent(agentQuery));
if (_action_id) {
initialPromises.push(getActions({ action_id }, true));
}
/** @type {[Agent, [Action|undefined]]} */
const [agent, actions_result] = await Promise.all(initialPromises);
if (!agent) {
return res.status(404).json({ message: 'Agent not found for adding action' });
}
if (actions_result && actions_result.length) {
const action = actions_result[0];
metadata = { ...action.metadata, ...metadata };
}
const { actions: _actions = [], author: agent_author } = agent ?? {};
const actions = [];
for (const action of _actions) {
const [_action_domain, current_action_id] = action.split(actionDelimiter);
if (current_action_id === action_id) {
continue;
/** @type {{ functions: FunctionTool[], action_id: string, metadata: ActionMetadata }} */
const { functions, action_id: _action_id, metadata: _metadata } = req.body;
if (!functions.length) {
return res.status(400).json({ message: 'No functions provided' });
}
actions.push(action);
}
actions.push(`${domain}${actionDelimiter}${action_id}`);
/** @type {string[]}} */
const { tools: _tools = [] } = agent;
const tools = _tools
.filter((tool) => !(tool && (tool.includes(domain) || tool.includes(action_id))))
.concat(functions.map((tool) => `${tool.function.name}${actionDelimiter}${domain}`));
// Force version update since actions are changing
const updatedAgent = await updateAgent(
agentQuery,
{ tools, actions },
{
updatingUserId: req.user.id,
forceVersion: true,
},
);
// Only update user field for new actions
const actionUpdateData = { metadata, agent_id };
if (!actions_result || !actions_result.length) {
// For new actions, use the agent owner's user ID
actionUpdateData.user = agent_author || req.user.id;
}
/** @type {[Action]} */
const updatedAction = await updateAction({ action_id }, actionUpdateData);
const sensitiveFields = ['api_key', 'oauth_client_id', 'oauth_client_secret'];
for (let field of sensitiveFields) {
if (updatedAction.metadata[field]) {
delete updatedAction.metadata[field];
let metadata = await encryptMetadata(removeNullishValues(_metadata, true));
const isDomainAllowed = await isActionDomainAllowed(metadata.domain);
if (!isDomainAllowed) {
return res.status(400).json({ message: 'Domain not allowed' });
}
}
res.json([updatedAgent, updatedAction]);
} catch (error) {
const message = 'Trouble updating the Agent Action';
logger.error(message, error);
res.status(500).json({ message });
}
});
let { domain } = metadata;
domain = await domainParser(domain, true);
if (!domain) {
return res.status(400).json({ message: 'No domain provided' });
}
const action_id = _action_id ?? nanoid();
const initialPromises = [];
// Permissions already validated by middleware - load agent directly
initialPromises.push(getAgent({ id: agent_id }));
if (_action_id) {
initialPromises.push(getActions({ action_id }, true));
}
/** @type {[Agent, [Action|undefined]]} */
const [agent, actions_result] = await Promise.all(initialPromises);
if (!agent) {
return res.status(404).json({ message: 'Agent not found for adding action' });
}
if (actions_result && actions_result.length) {
const action = actions_result[0];
metadata = { ...action.metadata, ...metadata };
}
const { actions: _actions = [], author: agent_author } = agent ?? {};
const actions = [];
for (const action of _actions) {
const [_action_domain, current_action_id] = action.split(actionDelimiter);
if (current_action_id === action_id) {
continue;
}
actions.push(action);
}
actions.push(`${domain}${actionDelimiter}${action_id}`);
/** @type {string[]}} */
const { tools: _tools = [] } = agent;
const tools = _tools
.filter((tool) => !(tool && (tool.includes(domain) || tool.includes(action_id))))
.concat(functions.map((tool) => `${tool.function.name}${actionDelimiter}${domain}`));
// Force version update since actions are changing
const updatedAgent = await updateAgent(
{ id: agent_id },
{ tools, actions },
{
updatingUserId: req.user.id,
forceVersion: true,
},
);
// Only update user field for new actions
const actionUpdateData = { metadata, agent_id };
if (!actions_result || !actions_result.length) {
// For new actions, use the agent owner's user ID
actionUpdateData.user = agent_author || req.user.id;
}
/** @type {[Action]} */
const updatedAction = await updateAction({ action_id }, actionUpdateData);
const sensitiveFields = ['api_key', 'oauth_client_id', 'oauth_client_secret'];
for (let field of sensitiveFields) {
if (updatedAction.metadata[field]) {
delete updatedAction.metadata[field];
}
}
res.json([updatedAgent, updatedAction]);
} catch (error) {
const message = 'Trouble updating the Agent Action';
logger.error(message, error);
res.status(500).json({ message });
}
},
);
/**
* Deletes an action for a specific agent.
@@ -163,52 +147,55 @@ router.post('/:agent_id', checkAgentCreate, async (req, res) => {
* @param {string} req.params.action_id - The ID of the action to delete.
* @returns {Object} 200 - success response - application/json
*/
router.delete('/:agent_id/:action_id', checkAgentCreate, async (req, res) => {
try {
const { agent_id, action_id } = req.params;
const admin = isAdmin(req);
router.delete(
'/:agent_id/:action_id',
canAccessAgentResource({
requiredPermission: PermissionBits.EDIT,
resourceIdParam: 'agent_id',
}),
async (req, res) => {
try {
const { agent_id, action_id } = req.params;
// If admin, can delete any agent, otherwise only user's agents
const agentQuery = admin ? { id: agent_id } : { id: agent_id, author: req.user.id };
const agent = await getAgent(agentQuery);
if (!agent) {
return res.status(404).json({ message: 'Agent not found for deleting action' });
}
const { tools = [], actions = [] } = agent;
let domain = '';
const updatedActions = actions.filter((action) => {
if (action.includes(action_id)) {
[domain] = action.split(actionDelimiter);
return false;
// Permissions already validated by middleware - load agent directly
const agent = await getAgent({ id: agent_id });
if (!agent) {
return res.status(404).json({ message: 'Agent not found for deleting action' });
}
return true;
});
domain = await domainParser(domain, true);
const { tools = [], actions = [] } = agent;
if (!domain) {
return res.status(400).json({ message: 'No domain provided' });
let domain = '';
const updatedActions = actions.filter((action) => {
if (action.includes(action_id)) {
[domain] = action.split(actionDelimiter);
return false;
}
return true;
});
domain = await domainParser(domain, true);
if (!domain) {
return res.status(400).json({ message: 'No domain provided' });
}
const updatedTools = tools.filter((tool) => !(tool && tool.includes(domain)));
// Force version update since actions are being removed
await updateAgent(
{ id: agent_id },
{ tools: updatedTools, actions: updatedActions },
{ updatingUserId: req.user.id, forceVersion: true },
);
await deleteAction({ action_id });
res.status(200).json({ message: 'Action deleted successfully' });
} catch (error) {
const message = 'Trouble deleting the Agent Action';
logger.error(message, error);
res.status(500).json({ message });
}
const updatedTools = tools.filter((tool) => !(tool && tool.includes(domain)));
// Force version update since actions are being removed
await updateAgent(
agentQuery,
{ tools: updatedTools, actions: updatedActions },
{ updatingUserId: req.user.id, forceVersion: true },
);
// If admin, can delete any action, otherwise only user's actions
const actionQuery = admin ? { action_id } : { action_id, user: req.user.id };
await deleteAction(actionQuery);
res.status(200).json({ message: 'Action deleted successfully' });
} catch (error) {
const message = 'Trouble deleting the Agent Action';
logger.error(message, error);
res.status(500).json({ message });
}
});
},
);
module.exports = router;

View File

@@ -1,30 +1,30 @@
const express = require('express');
const { generateCheckAccess, skipAgentCheck } = require('@librechat/api');
const { PermissionBits } = require('@librechat/data-schemas');
const { PermissionTypes, Permissions } = require('librechat-data-provider');
const {
setHeaders,
moderateText,
// validateModel,
generateCheckAccess,
validateConvoAccess,
buildEndpointOption,
canAccessAgentFromBody,
} = require('~/server/middleware');
const { initializeClient } = require('~/server/services/Endpoints/agents');
const AgentController = require('~/server/controllers/agents/request');
const addTitle = require('~/server/services/Endpoints/agents/title');
const { getRoleByName } = require('~/models/Role');
const router = express.Router();
router.use(moderateText);
const checkAgentAccess = generateCheckAccess({
permissionType: PermissionTypes.AGENTS,
permissions: [Permissions.USE],
skipCheck: skipAgentCheck,
getRoleByName,
const checkAgentAccess = generateCheckAccess(PermissionTypes.AGENTS, [Permissions.USE]);
const checkAgentResourceAccess = canAccessAgentFromBody({
requiredPermission: PermissionBits.VIEW,
});
router.use(checkAgentAccess);
router.use(checkAgentResourceAccess);
router.use(validateConvoAccess);
router.use(buildEndpointOption);
router.use(setHeaders);

View File

@@ -1,5 +1,4 @@
const express = require('express');
const { addTool, updateTool, deleteTool } = require('@librechat/api');
const { callTool, verifyToolAuth, getToolCalls } = require('~/server/controllers/tools');
const { getAvailableTools } = require('~/server/controllers/PluginController');
const { toolCallLimiter } = require('~/server/middleware/limiters');
@@ -37,29 +36,4 @@ router.get('/:toolId/auth', verifyToolAuth);
*/
router.post('/:toolId/call', toolCallLimiter, callTool);
/**
* Add a new tool/MCP to the system
* @route POST /agents/tools/add
* @param {object} req.body - Request body containing tool/MCP data
* @returns {object} Created tool/MCP object
*/
router.post('/add', addTool);
/**
* Update an existing tool/MCP in the system
* @route PUT /agents/tools/:mcp_id
* @param {string} mcp_id - The ID of the MCP to update
* @param {object} req.body - Request body containing updated tool/MCP data
* @returns {object} Updated tool/MCP object
*/
router.put('/:mcp_id', updateTool);
/**
* Delete a tool/MCP from the system
* @route DELETE /agents/tools/:mcp_id
* @param {string} mcp_id - The ID of the MCP to delete
* @returns {object} Deletion confirmation
*/
router.delete('/:mcp_id', deleteTool);
module.exports = router;

View File

@@ -1,36 +1,34 @@
const express = require('express');
const { generateCheckAccess } = require('@librechat/api');
const { PermissionBits } = require('@librechat/data-schemas');
const { PermissionTypes, Permissions } = require('librechat-data-provider');
const { requireJwtAuth } = require('~/server/middleware');
const {
requireJwtAuth,
generateCheckAccess,
canAccessAgentResource,
} = require('~/server/middleware');
const v1 = require('~/server/controllers/agents/v1');
const { getRoleByName } = require('~/models/Role');
const actions = require('./actions');
const tools = require('./tools');
const router = express.Router();
const avatar = express.Router();
const checkAgentAccess = generateCheckAccess({
permissionType: PermissionTypes.AGENTS,
permissions: [Permissions.USE],
getRoleByName,
});
const checkAgentCreate = generateCheckAccess({
permissionType: PermissionTypes.AGENTS,
permissions: [Permissions.USE, Permissions.CREATE],
getRoleByName,
});
const checkAgentAccess = generateCheckAccess(PermissionTypes.AGENTS, [Permissions.USE]);
const checkAgentCreate = generateCheckAccess(PermissionTypes.AGENTS, [
Permissions.USE,
Permissions.CREATE,
]);
const checkGlobalAgentShare = generateCheckAccess({
permissionType: PermissionTypes.AGENTS,
permissions: [Permissions.USE, Permissions.CREATE],
bodyProps: {
const checkGlobalAgentShare = generateCheckAccess(
PermissionTypes.AGENTS,
[Permissions.USE, Permissions.CREATE],
{
[Permissions.SHARED_GLOBAL]: ['projectIds', 'removeProjectIds'],
},
getRoleByName,
});
);
router.use(requireJwtAuth);
router.use(checkAgentAccess);
/**
* Agent actions route.
@@ -53,13 +51,38 @@ router.use('/tools', tools);
router.post('/', checkAgentCreate, v1.createAgent);
/**
* Retrieves an agent.
* Retrieves basic agent information (VIEW permission required).
* Returns safe, non-sensitive agent data for viewing purposes.
* @route GET /agents/:id
* @param {string} req.params.id - Agent identifier.
* @returns {Agent} 200 - Success response - application/json
* @returns {Agent} 200 - Basic agent info - application/json
*/
router.get('/:id', checkAgentAccess, v1.getAgent);
router.get(
'/:id',
checkAgentAccess,
canAccessAgentResource({
requiredPermission: PermissionBits.VIEW,
resourceIdParam: 'id',
}),
v1.getAgent,
);
/**
* Retrieves full agent details including sensitive configuration (EDIT permission required).
* Returns complete agent data for editing/configuration purposes.
* @route GET /agents/:id/expanded
* @param {string} req.params.id - Agent identifier.
* @returns {Agent} 200 - Full agent details - application/json
*/
router.get(
'/:id/expanded',
checkAgentAccess,
canAccessAgentResource({
requiredPermission: PermissionBits.EDIT,
resourceIdParam: 'id',
}),
(req, res) => v1.getAgent(req, res, true), // Expanded version
);
/**
* Updates an agent.
* @route PATCH /agents/:id
@@ -67,7 +90,15 @@ router.get('/:id', checkAgentAccess, v1.getAgent);
* @param {AgentUpdateParams} req.body - The agent update parameters.
* @returns {Agent} 200 - Success response - application/json
*/
router.patch('/:id', checkGlobalAgentShare, v1.updateAgent);
router.patch(
'/:id',
checkGlobalAgentShare,
canAccessAgentResource({
requiredPermission: PermissionBits.EDIT,
resourceIdParam: 'id',
}),
v1.updateAgent,
);
/**
* Duplicates an agent.
@@ -75,7 +106,15 @@ router.patch('/:id', checkGlobalAgentShare, v1.updateAgent);
* @param {string} req.params.id - Agent identifier.
* @returns {Agent} 201 - Success response - application/json
*/
router.post('/:id/duplicate', checkAgentCreate, v1.duplicateAgent);
router.post(
'/:id/duplicate',
checkAgentCreate,
canAccessAgentResource({
requiredPermission: PermissionBits.VIEW,
resourceIdParam: 'id',
}),
v1.duplicateAgent,
);
/**
* Deletes an agent.
@@ -83,7 +122,15 @@ router.post('/:id/duplicate', checkAgentCreate, v1.duplicateAgent);
* @param {string} req.params.id - Agent identifier.
* @returns {Agent} 200 - success response - application/json
*/
router.delete('/:id', checkAgentCreate, v1.deleteAgent);
router.delete(
'/:id',
checkAgentCreate,
canAccessAgentResource({
requiredPermission: PermissionBits.DELETE,
resourceIdParam: 'id',
}),
v1.deleteAgent,
);
/**
* Reverts an agent to a previous version.
@@ -110,6 +157,14 @@ router.get('/', checkAgentAccess, v1.getListAgents);
* @param {string} [req.body.metadata] - Optional metadata for the agent's avatar.
* @returns {Object} 200 - success response - application/json
*/
avatar.post('/:agent_id/avatar/', checkAgentAccess, v1.uploadAgentAvatar);
avatar.post(
'/:agent_id/avatar/',
checkAgentAccess,
canAccessAgentResource({
requiredPermission: PermissionBits.EDIT,
resourceIdParam: 'agent_id',
}),
v1.uploadAgentAvatar,
);
module.exports = { v1: router, avatar };

View File

@@ -0,0 +1,63 @@
const { Keyv } = require('keyv');
const { KeyvFile } = require('keyv-file');
const { logger } = require('~/config');
const addToCache = async ({ endpoint, endpointOption, userMessage, responseMessage }) => {
try {
const conversationsCache = new Keyv({
store: new KeyvFile({ filename: './data/cache.json' }),
namespace: 'chatgpt', // should be 'bing' for bing/sydney
});
const {
conversationId,
messageId: userMessageId,
parentMessageId: userParentMessageId,
text: userText,
} = userMessage;
const {
messageId: responseMessageId,
parentMessageId: responseParentMessageId,
text: responseText,
} = responseMessage;
let conversation = await conversationsCache.get(conversationId);
// used to generate a title for the conversation if none exists
// let isNewConversation = false;
if (!conversation) {
conversation = {
messages: [],
createdAt: Date.now(),
};
// isNewConversation = true;
}
const roles = (options) => {
if (endpoint === 'openAI') {
return options?.chatGptLabel || 'ChatGPT';
}
};
let _userMessage = {
id: userMessageId,
parentMessageId: userParentMessageId,
role: 'User',
message: userText,
};
let _responseMessage = {
id: responseMessageId,
parentMessageId: responseParentMessageId,
role: roles(endpointOption),
message: responseText,
};
conversation.messages.push(_userMessage, _responseMessage);
await conversationsCache.set(conversationId, conversation);
} catch (error) {
logger.error('[addToCache] Error adding conversation to cache', error);
}
};
module.exports = addToCache;

View File

@@ -0,0 +1,25 @@
const express = require('express');
const AskController = require('~/server/controllers/AskController');
const { addTitle, initializeClient } = require('~/server/services/Endpoints/anthropic');
const {
setHeaders,
handleAbort,
validateModel,
validateEndpoint,
buildEndpointOption,
} = require('~/server/middleware');
const router = express.Router();
router.post(
'/',
validateEndpoint,
validateModel,
buildEndpointOption,
setHeaders,
async (req, res, next) => {
await AskController(req, res, next, initializeClient, addTitle);
},
);
module.exports = router;

View File

@@ -0,0 +1,25 @@
const express = require('express');
const AskController = require('~/server/controllers/AskController');
const { initializeClient } = require('~/server/services/Endpoints/custom');
const { addTitle } = require('~/server/services/Endpoints/openAI');
const {
setHeaders,
validateModel,
validateEndpoint,
buildEndpointOption,
} = require('~/server/middleware');
const router = express.Router();
router.post(
'/',
validateEndpoint,
validateModel,
buildEndpointOption,
setHeaders,
async (req, res, next) => {
await AskController(req, res, next, initializeClient, addTitle);
},
);
module.exports = router;

View File

@@ -0,0 +1,24 @@
const express = require('express');
const AskController = require('~/server/controllers/AskController');
const { initializeClient, addTitle } = require('~/server/services/Endpoints/google');
const {
setHeaders,
validateModel,
validateEndpoint,
buildEndpointOption,
} = require('~/server/middleware');
const router = express.Router();
router.post(
'/',
validateEndpoint,
validateModel,
buildEndpointOption,
setHeaders,
async (req, res, next) => {
await AskController(req, res, next, initializeClient, addTitle);
},
);
module.exports = router;

View File

@@ -0,0 +1,241 @@
const express = require('express');
const { getResponseSender, Constants } = require('librechat-data-provider');
const { initializeClient } = require('~/server/services/Endpoints/gptPlugins');
const { sendMessage, createOnProgress } = require('~/server/utils');
const { addTitle } = require('~/server/services/Endpoints/openAI');
const { saveMessage, updateMessage } = require('~/models');
const {
handleAbort,
createAbortController,
handleAbortError,
setHeaders,
validateModel,
validateEndpoint,
buildEndpointOption,
moderateText,
} = require('~/server/middleware');
const { validateTools } = require('~/app');
const { logger } = require('~/config');
const router = express.Router();
router.use(moderateText);
router.post(
'/',
validateEndpoint,
validateModel,
buildEndpointOption,
setHeaders,
async (req, res) => {
let {
text,
endpointOption,
conversationId,
parentMessageId = null,
overrideParentMessageId = null,
} = req.body;
logger.debug('[/ask/gptPlugins]', { text, conversationId, ...endpointOption });
let userMessage;
let userMessagePromise;
let promptTokens;
let userMessageId;
let responseMessageId;
const sender = getResponseSender({
...endpointOption,
model: endpointOption.modelOptions.model,
});
const newConvo = !conversationId;
const user = req.user.id;
const plugins = [];
const getReqData = (data = {}) => {
for (let key in data) {
if (key === 'userMessage') {
userMessage = data[key];
userMessageId = data[key].messageId;
} else if (key === 'userMessagePromise') {
userMessagePromise = data[key];
} else if (key === 'responseMessageId') {
responseMessageId = data[key];
} else if (key === 'promptTokens') {
promptTokens = data[key];
} else if (!conversationId && key === 'conversationId') {
conversationId = data[key];
}
}
};
let streaming = null;
let timer = null;
const {
onProgress: progressCallback,
sendIntermediateMessage,
getPartialText,
} = createOnProgress({
onProgress: () => {
if (timer) {
clearTimeout(timer);
}
streaming = new Promise((resolve) => {
timer = setTimeout(() => {
resolve();
}, 250);
});
},
});
const pluginMap = new Map();
const onAgentAction = async (action, runId) => {
pluginMap.set(runId, action.tool);
sendIntermediateMessage(res, {
plugins,
parentMessageId: userMessage.messageId,
messageId: responseMessageId,
});
};
const onToolStart = async (tool, input, runId, parentRunId) => {
const pluginName = pluginMap.get(parentRunId);
const latestPlugin = {
runId,
loading: true,
inputs: [input],
latest: pluginName,
outputs: null,
};
if (streaming) {
await streaming;
}
const extraTokens = ':::plugin:::\n';
plugins.push(latestPlugin);
sendIntermediateMessage(
res,
{ plugins, parentMessageId: userMessage.messageId, messageId: responseMessageId },
extraTokens,
);
};
const onToolEnd = async (output, runId) => {
if (streaming) {
await streaming;
}
const pluginIndex = plugins.findIndex((plugin) => plugin.runId === runId);
if (pluginIndex !== -1) {
plugins[pluginIndex].loading = false;
plugins[pluginIndex].outputs = output;
}
};
const getAbortData = () => ({
sender,
conversationId,
userMessagePromise,
messageId: responseMessageId,
parentMessageId: overrideParentMessageId ?? userMessageId,
text: getPartialText(),
plugins: plugins.map((p) => ({ ...p, loading: false })),
userMessage,
promptTokens,
});
const { abortController, onStart } = createAbortController(req, res, getAbortData, getReqData);
try {
endpointOption.tools = await validateTools(user, endpointOption.tools);
const { client } = await initializeClient({ req, res, endpointOption });
const onChainEnd = () => {
if (!client.skipSaveUserMessage) {
saveMessage(
req,
{ ...userMessage, user },
{ context: 'api/server/routes/ask/gptPlugins.js - onChainEnd' },
);
}
sendIntermediateMessage(res, {
plugins,
parentMessageId: userMessage.messageId,
messageId: responseMessageId,
});
};
let response = await client.sendMessage(text, {
user,
conversationId,
parentMessageId,
overrideParentMessageId,
getReqData,
onAgentAction,
onChainEnd,
onToolStart,
onToolEnd,
onStart,
getPartialText,
...endpointOption,
progressCallback,
progressOptions: {
res,
// parentMessageId: overrideParentMessageId || userMessageId,
plugins,
},
abortController,
});
if (overrideParentMessageId) {
response.parentMessageId = overrideParentMessageId;
}
logger.debug('[/ask/gptPlugins]', response);
const { conversation = {} } = await response.databasePromise;
delete response.databasePromise;
conversation.title =
conversation && !conversation.title ? null : conversation?.title || 'New Chat';
sendMessage(res, {
title: conversation.title,
final: true,
conversation,
requestMessage: userMessage,
responseMessage: response,
});
res.end();
if (parentMessageId === Constants.NO_PARENT && newConvo) {
addTitle(req, {
text,
response,
client,
});
}
response.plugins = plugins.map((p) => ({ ...p, loading: false }));
if (response.plugins?.length > 0) {
await updateMessage(
req,
{ ...response, user },
{ context: 'api/server/routes/ask/gptPlugins.js - save plugins used' },
);
}
} catch (error) {
const partialText = getPartialText();
handleAbortError(res, req, error, {
partialText,
conversationId,
sender,
messageId: responseMessageId,
parentMessageId: userMessageId ?? parentMessageId,
});
}
},
);
module.exports = router;

View File

@@ -0,0 +1,47 @@
const express = require('express');
const { EModelEndpoint } = require('librechat-data-provider');
const {
uaParser,
checkBan,
requireJwtAuth,
messageIpLimiter,
concurrentLimiter,
messageUserLimiter,
validateConvoAccess,
} = require('~/server/middleware');
const { isEnabled } = require('~/server/utils');
const gptPlugins = require('./gptPlugins');
const anthropic = require('./anthropic');
const custom = require('./custom');
const google = require('./google');
const openAI = require('./openAI');
const { LIMIT_CONCURRENT_MESSAGES, LIMIT_MESSAGE_IP, LIMIT_MESSAGE_USER } = process.env ?? {};
const router = express.Router();
router.use(requireJwtAuth);
router.use(checkBan);
router.use(uaParser);
if (isEnabled(LIMIT_CONCURRENT_MESSAGES)) {
router.use(concurrentLimiter);
}
if (isEnabled(LIMIT_MESSAGE_IP)) {
router.use(messageIpLimiter);
}
if (isEnabled(LIMIT_MESSAGE_USER)) {
router.use(messageUserLimiter);
}
router.use(validateConvoAccess);
router.use([`/${EModelEndpoint.azureOpenAI}`, `/${EModelEndpoint.openAI}`], openAI);
router.use(`/${EModelEndpoint.gptPlugins}`, gptPlugins);
router.use(`/${EModelEndpoint.anthropic}`, anthropic);
router.use(`/${EModelEndpoint.google}`, google);
router.use(`/${EModelEndpoint.custom}`, custom);
module.exports = router;

View File

@@ -0,0 +1,27 @@
const express = require('express');
const AskController = require('~/server/controllers/AskController');
const { addTitle, initializeClient } = require('~/server/services/Endpoints/openAI');
const {
handleAbort,
setHeaders,
validateModel,
validateEndpoint,
buildEndpointOption,
moderateText,
} = require('~/server/middleware');
const router = express.Router();
router.use(moderateText);
router.post(
'/',
validateEndpoint,
validateModel,
buildEndpointOption,
setHeaders,
async (req, res, next) => {
await AskController(req, res, next, initializeClient, addTitle);
},
);
module.exports = router;

View File

@@ -0,0 +1,37 @@
const express = require('express');
const router = express.Router();
const {
setHeaders,
handleAbort,
moderateText,
// validateModel,
// validateEndpoint,
buildEndpointOption,
} = require('~/server/middleware');
const { initializeClient } = require('~/server/services/Endpoints/bedrock');
const AgentController = require('~/server/controllers/agents/request');
const addTitle = require('~/server/services/Endpoints/agents/title');
router.use(moderateText);
/**
* @route POST /
* @desc Chat with an assistant
* @access Public
* @param {express.Request} req - The request object, containing the request data.
* @param {express.Response} res - The response object, used to send back a response.
* @returns {void}
*/
router.post(
'/',
// validateModel,
// validateEndpoint,
buildEndpointOption,
setHeaders,
async (req, res, next) => {
await AgentController(req, res, next, initializeClient, addTitle);
},
);
module.exports = router;

View File

@@ -0,0 +1,35 @@
const express = require('express');
const {
uaParser,
checkBan,
requireJwtAuth,
messageIpLimiter,
concurrentLimiter,
messageUserLimiter,
} = require('~/server/middleware');
const { isEnabled } = require('~/server/utils');
const chat = require('./chat');
const { LIMIT_CONCURRENT_MESSAGES, LIMIT_MESSAGE_IP, LIMIT_MESSAGE_USER } = process.env ?? {};
const router = express.Router();
router.use(requireJwtAuth);
router.use(checkBan);
router.use(uaParser);
if (isEnabled(LIMIT_CONCURRENT_MESSAGES)) {
router.use(concurrentLimiter);
}
if (isEnabled(LIMIT_MESSAGE_IP)) {
router.use(messageIpLimiter);
}
if (isEnabled(LIMIT_MESSAGE_USER)) {
router.use(messageUserLimiter);
}
router.use('/chat', chat);
module.exports = router;

View File

@@ -0,0 +1,207 @@
const express = require('express');
const { getResponseSender } = require('librechat-data-provider');
const {
setHeaders,
moderateText,
validateModel,
handleAbortError,
validateEndpoint,
buildEndpointOption,
createAbortController,
} = require('~/server/middleware');
const { sendMessage, createOnProgress, formatSteps, formatAction } = require('~/server/utils');
const { initializeClient } = require('~/server/services/Endpoints/gptPlugins');
const { saveMessage, updateMessage } = require('~/models');
const { validateTools } = require('~/app');
const { logger } = require('~/config');
const router = express.Router();
router.use(moderateText);
router.post(
'/',
validateEndpoint,
validateModel,
buildEndpointOption,
setHeaders,
async (req, res) => {
let {
text,
generation,
endpointOption,
conversationId,
responseMessageId,
isContinued = false,
parentMessageId = null,
overrideParentMessageId = null,
} = req.body;
logger.debug('[/edit/gptPlugins]', {
text,
generation,
isContinued,
conversationId,
...endpointOption,
});
let userMessage;
let userMessagePromise;
let promptTokens;
const sender = getResponseSender({
...endpointOption,
model: endpointOption.modelOptions.model,
});
const userMessageId = parentMessageId;
const user = req.user.id;
const plugin = {
loading: true,
inputs: [],
latest: null,
outputs: null,
};
const getReqData = (data = {}) => {
for (let key in data) {
if (key === 'userMessage') {
userMessage = data[key];
} else if (key === 'userMessagePromise') {
userMessagePromise = data[key];
} else if (key === 'responseMessageId') {
responseMessageId = data[key];
} else if (key === 'promptTokens') {
promptTokens = data[key];
}
}
};
const {
onProgress: progressCallback,
sendIntermediateMessage,
getPartialText,
} = createOnProgress({
generation,
onProgress: () => {
if (plugin.loading === true) {
plugin.loading = false;
}
},
});
const onChainEnd = (data) => {
let { intermediateSteps: steps } = data;
plugin.outputs = steps && steps[0].action ? formatSteps(steps) : 'An error occurred.';
plugin.loading = false;
saveMessage(
req,
{ ...userMessage, user },
{ context: 'api/server/routes/ask/gptPlugins.js - onChainEnd' },
);
sendIntermediateMessage(res, {
plugin,
parentMessageId: userMessage.messageId,
messageId: responseMessageId,
});
// logger.debug('CHAIN END', plugin.outputs);
};
const getAbortData = () => ({
sender,
conversationId,
userMessagePromise,
messageId: responseMessageId,
parentMessageId: overrideParentMessageId ?? userMessageId,
text: getPartialText(),
plugin: { ...plugin, loading: false },
userMessage,
promptTokens,
});
const { abortController, onStart } = createAbortController(req, res, getAbortData, getReqData);
try {
endpointOption.tools = await validateTools(user, endpointOption.tools);
const { client } = await initializeClient({ req, res, endpointOption });
const onAgentAction = (action, start = false) => {
const formattedAction = formatAction(action);
plugin.inputs.push(formattedAction);
plugin.latest = formattedAction.plugin;
if (!start && !client.skipSaveUserMessage) {
saveMessage(
req,
{ ...userMessage, user },
{ context: 'api/server/routes/ask/gptPlugins.js - onAgentAction' },
);
}
sendIntermediateMessage(res, {
plugin,
parentMessageId: userMessage.messageId,
messageId: responseMessageId,
});
// logger.debug('PLUGIN ACTION', formattedAction);
};
let response = await client.sendMessage(text, {
user,
generation,
isContinued,
isEdited: true,
conversationId,
parentMessageId,
responseMessageId,
overrideParentMessageId,
getReqData,
onAgentAction,
onChainEnd,
onStart,
...endpointOption,
progressCallback,
progressOptions: {
res,
plugin,
// parentMessageId: overrideParentMessageId || userMessageId,
},
abortController,
});
if (overrideParentMessageId) {
response.parentMessageId = overrideParentMessageId;
}
logger.debug('[/edit/gptPlugins] CLIENT RESPONSE', response);
const { conversation = {} } = await response.databasePromise;
delete response.databasePromise;
conversation.title =
conversation && !conversation.title ? null : conversation?.title || 'New Chat';
sendMessage(res, {
title: conversation.title,
final: true,
conversation,
requestMessage: userMessage,
responseMessage: response,
});
res.end();
response.plugin = { ...plugin, loading: false };
await updateMessage(
req,
{ ...response, user },
{ context: 'api/server/routes/edit/gptPlugins.js' },
);
} catch (error) {
const partialText = getPartialText();
handleAbortError(res, req, error, {
partialText,
conversationId,
sender,
messageId: responseMessageId,
parentMessageId: userMessageId ?? parentMessageId,
});
}
},
);
module.exports = router;

View File

@@ -3,6 +3,7 @@ const openAI = require('./openAI');
const custom = require('./custom');
const google = require('./google');
const anthropic = require('./anthropic');
const gptPlugins = require('./gptPlugins');
const { isEnabled } = require('~/server/utils');
const { EModelEndpoint } = require('librechat-data-provider');
const {
@@ -38,6 +39,7 @@ if (isEnabled(LIMIT_MESSAGE_USER)) {
router.use(validateConvoAccess);
router.use([`/${EModelEndpoint.azureOpenAI}`, `/${EModelEndpoint.openAI}`], openAI);
router.use(`/${EModelEndpoint.gptPlugins}`, gptPlugins);
router.use(`/${EModelEndpoint.anthropic}`, anthropic);
router.use(`/${EModelEndpoint.google}`, google);
router.use(`/${EModelEndpoint.custom}`, custom);

View File

@@ -283,10 +283,7 @@ router.post('/', async (req, res) => {
message += ': ' + error.message;
}
if (
error.message?.includes('Invalid file format') ||
error.message?.includes('No OCR result')
) {
if (error.message?.includes('Invalid file format')) {
message = error.message;
}

View File

@@ -9,6 +9,7 @@ const presets = require('./presets');
const prompts = require('./prompts');
const balance = require('./balance');
const plugins = require('./plugins');
const bedrock = require('./bedrock');
const actions = require('./actions');
const banner = require('./banner');
const search = require('./search');
@@ -25,9 +26,13 @@ const auth = require('./auth');
const edit = require('./edit');
const keys = require('./keys');
const user = require('./user');
const ask = require('./ask');
const accessPermissions = require('./accessPermissions');
const mcp = require('./mcp');
module.exports = {
ask,
mcp,
edit,
auth,
keys,
@@ -43,6 +48,7 @@ module.exports = {
search,
config,
models,
bedrock,
prompts,
plugins,
actions,
@@ -55,5 +61,5 @@ module.exports = {
assistants,
categories,
staticRoute,
mcp,
accessPermissions,
};

View File

@@ -1,43 +1,37 @@
const express = require('express');
const { Tokenizer, generateCheckAccess } = require('@librechat/api');
const { Tokenizer } = require('@librechat/api');
const { PermissionTypes, Permissions } = require('librechat-data-provider');
const {
getAllUserMemories,
toggleUserMemories,
createMemory,
deleteMemory,
setMemory,
deleteMemory,
} = require('~/models');
const { requireJwtAuth } = require('~/server/middleware');
const { getRoleByName } = require('~/models/Role');
const { requireJwtAuth, generateCheckAccess } = require('~/server/middleware');
const router = express.Router();
const checkMemoryRead = generateCheckAccess({
permissionType: PermissionTypes.MEMORIES,
permissions: [Permissions.USE, Permissions.READ],
getRoleByName,
});
const checkMemoryCreate = generateCheckAccess({
permissionType: PermissionTypes.MEMORIES,
permissions: [Permissions.USE, Permissions.CREATE],
getRoleByName,
});
const checkMemoryUpdate = generateCheckAccess({
permissionType: PermissionTypes.MEMORIES,
permissions: [Permissions.USE, Permissions.UPDATE],
getRoleByName,
});
const checkMemoryDelete = generateCheckAccess({
permissionType: PermissionTypes.MEMORIES,
permissions: [Permissions.USE, Permissions.UPDATE],
getRoleByName,
});
const checkMemoryOptOut = generateCheckAccess({
permissionType: PermissionTypes.MEMORIES,
permissions: [Permissions.USE, Permissions.OPT_OUT],
getRoleByName,
});
const checkMemoryRead = generateCheckAccess(PermissionTypes.MEMORIES, [
Permissions.USE,
Permissions.READ,
]);
const checkMemoryCreate = generateCheckAccess(PermissionTypes.MEMORIES, [
Permissions.USE,
Permissions.CREATE,
]);
const checkMemoryUpdate = generateCheckAccess(PermissionTypes.MEMORIES, [
Permissions.USE,
Permissions.UPDATE,
]);
const checkMemoryDelete = generateCheckAccess(PermissionTypes.MEMORIES, [
Permissions.USE,
Permissions.UPDATE,
]);
const checkMemoryOptOut = generateCheckAccess(PermissionTypes.MEMORIES, [
Permissions.USE,
Permissions.OPT_OUT,
]);
router.use(requireJwtAuth);

View File

@@ -9,6 +9,7 @@ const {
setBalanceConfig,
checkDomainAllowed,
} = require('~/server/middleware');
const { syncUserEntraGroupMemberships } = require('~/server/services/PermissionService');
const { setAuthTokens, setOpenIDAuthTokens } = require('~/server/services/AuthService');
const { isEnabled } = require('~/server/utils');
const { logger } = require('~/config');
@@ -35,6 +36,7 @@ const oauthHandler = async (req, res) => {
req.user.provider == 'openid' &&
isEnabled(process.env.OPENID_REUSE_TOKENS) === true
) {
await syncUserEntraGroupMemberships(req.user, req.user.tokenset.access_token);
setOpenIDAuthTokens(req.user.tokenset, res);
} else {
await setAuthTokens(req.user._id, res);

View File

@@ -1,7 +1,5 @@
const express = require('express');
const { logger } = require('@librechat/data-schemas');
const { generateCheckAccess } = require('@librechat/api');
const { Permissions, SystemRoles, PermissionTypes } = require('librechat-data-provider');
const { PermissionTypes, Permissions, SystemRoles } = require('librechat-data-provider');
const {
getPrompt,
getPrompts,
@@ -16,30 +14,24 @@ const {
// updatePromptLabels,
makePromptProduction,
} = require('~/models/Prompt');
const { requireJwtAuth } = require('~/server/middleware');
const { getRoleByName } = require('~/models/Role');
const { requireJwtAuth, generateCheckAccess } = require('~/server/middleware');
const { logger } = require('~/config');
const router = express.Router();
const checkPromptAccess = generateCheckAccess({
permissionType: PermissionTypes.PROMPTS,
permissions: [Permissions.USE],
getRoleByName,
});
const checkPromptCreate = generateCheckAccess({
permissionType: PermissionTypes.PROMPTS,
permissions: [Permissions.USE, Permissions.CREATE],
getRoleByName,
});
const checkPromptAccess = generateCheckAccess(PermissionTypes.PROMPTS, [Permissions.USE]);
const checkPromptCreate = generateCheckAccess(PermissionTypes.PROMPTS, [
Permissions.USE,
Permissions.CREATE,
]);
const checkGlobalPromptShare = generateCheckAccess({
permissionType: PermissionTypes.PROMPTS,
permissions: [Permissions.USE, Permissions.CREATE],
bodyProps: {
const checkGlobalPromptShare = generateCheckAccess(
PermissionTypes.PROMPTS,
[Permissions.USE, Permissions.CREATE],
{
[Permissions.SHARED_GLOBAL]: ['projectIds', 'removeProjectIds'],
},
getRoleByName,
});
);
router.use(requireJwtAuth);
router.use(checkPromptAccess);

View File

@@ -1,24 +1,18 @@
const express = require('express');
const { logger } = require('@librechat/data-schemas');
const { generateCheckAccess } = require('@librechat/api');
const { PermissionTypes, Permissions } = require('librechat-data-provider');
const {
updateTagsForConversation,
getConversationTags,
updateConversationTag,
createConversationTag,
deleteConversationTag,
getConversationTags,
updateTagsForConversation,
} = require('~/models/ConversationTag');
const { requireJwtAuth } = require('~/server/middleware');
const { getRoleByName } = require('~/models/Role');
const { requireJwtAuth, generateCheckAccess } = require('~/server/middleware');
const { logger } = require('~/config');
const router = express.Router();
const checkBookmarkAccess = generateCheckAccess({
permissionType: PermissionTypes.BOOKMARKS,
permissions: [Permissions.USE],
getRoleByName,
});
const checkBookmarkAccess = generateCheckAccess(PermissionTypes.BOOKMARKS, [Permissions.USE]);
router.use(requireJwtAuth);
router.use(checkBookmarkAccess);

View File

@@ -1,5 +1,6 @@
jest.mock('~/models', () => ({
initializeRoles: jest.fn(),
seedDefaultRoles: jest.fn(),
}));
jest.mock('~/models/Role', () => ({
updateAccessPermissions: jest.fn(),

View File

@@ -17,6 +17,7 @@ const {
const { azureAssistantsDefaults, assistantsConfigSetup } = require('./start/assistants');
const { initializeAzureBlobService } = require('./Files/Azure/initialize');
const { initializeFirebase } = require('./Files/Firebase/initialize');
const { seedDefaultRoles, initializeRoles } = require('~/models');
const loadCustomConfig = require('./Config/loadCustomConfig');
const handleRateLimits = require('./Config/handleRateLimits');
const { loadDefaultInterface } = require('./start/interface');
@@ -26,7 +27,6 @@ const { processModelSpecs } = require('./start/modelSpecs');
const { initializeS3 } = require('./Files/S3/initialize');
const { loadAndFormatTools } = require('./ToolService');
const { isEnabled } = require('~/server/utils');
const { initializeRoles } = require('~/models');
const { setCachedTools } = require('./Config');
const paths = require('~/config/paths');
@@ -37,6 +37,7 @@ const paths = require('~/config/paths');
*/
const AppService = async (app) => {
await initializeRoles();
await seedDefaultRoles();
/** @type {TCustomConfig} */
const config = (await loadCustomConfig()) ?? {};
const configDefaults = getConfigDefaults();

View File

@@ -28,6 +28,7 @@ jest.mock('./Files/Firebase/initialize', () => ({
}));
jest.mock('~/models', () => ({
initializeRoles: jest.fn(),
seedDefaultRoles: jest.fn(),
}));
jest.mock('~/models/Role', () => ({
updateAccessPermissions: jest.fn(),

View File

@@ -1,7 +1,4 @@
const { klona } = require('klona');
const { sleep } = require('@librechat/agents');
const { sendEvent } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const {
StepTypes,
RunStatus,
@@ -14,10 +11,11 @@ const {
} = require('librechat-data-provider');
const { retrieveAndProcessFile } = require('~/server/services/Files/process');
const { processRequiredActions } = require('~/server/services/ToolService');
const { createOnProgress, sendMessage, sleep } = require('~/server/utils');
const { RunManager, waitForRun } = require('~/server/services/Runs');
const { processMessages } = require('~/server/services/Threads');
const { createOnProgress } = require('~/server/utils');
const { TextStream } = require('~/app/clients');
const { logger } = require('~/config');
/**
* Sorts, processes, and flattens messages to a single string.
@@ -66,7 +64,7 @@ async function createOnTextProgress({
};
logger.debug('Content data:', contentData);
sendEvent(openai.res, contentData);
sendMessage(openai.res, contentData);
};
}

View File

@@ -1,5 +1,4 @@
const bcrypt = require('bcryptjs');
const jwt = require('jsonwebtoken');
const { webcrypto } = require('node:crypto');
const { isEnabled } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
@@ -500,18 +499,6 @@ const resendVerificationEmail = async (req) => {
};
}
};
/**
* Generate a short-lived JWT token
* @param {String} userId - The ID of the user
* @param {String} [expireIn='5m'] - The expiration time for the token (default is 5 minutes)
* @returns {String} - The generated JWT token
*/
const generateShortLivedToken = (userId, expireIn = '5m') => {
return jwt.sign({ id: userId }, process.env.JWT_SECRET, {
expiresIn: expireIn,
algorithm: 'HS256',
});
};
module.exports = {
logoutUser,
@@ -519,8 +506,7 @@ module.exports = {
registerUser,
setAuthTokens,
resetPassword,
setOpenIDAuthTokens,
requestPasswordReset,
resendVerificationEmail,
generateShortLivedToken,
setOpenIDAuthTokens,
};

View File

@@ -1,6 +1,5 @@
const { isUserProvided } = require('@librechat/api');
const { EModelEndpoint } = require('librechat-data-provider');
const { generateConfig } = require('~/server/utils/handleText');
const { isUserProvided, generateConfig } = require('~/server/utils');
const {
OPENAI_API_KEY: openAIApiKey,

View File

@@ -40,7 +40,6 @@ async function getBalanceConfig() {
/**
*
* @param {string | EModelEndpoint} endpoint
* @returns {Promise<TEndpoint | undefined>}
*/
const getCustomEndpointConfig = async (endpoint) => {
const customConfig = await getCustomConfig();

View File

@@ -1,18 +1,18 @@
const path = require('path');
const axios = require('axios');
const yaml = require('js-yaml');
const keyBy = require('lodash/keyBy');
const { loadYaml } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const {
CacheKeys,
configSchema,
paramSettings,
EImageOutputType,
agentParamSettings,
validateSettingDefinitions,
agentParamSettings,
paramSettings,
} = require('librechat-data-provider');
const getLogStores = require('~/cache/getLogStores');
const loadYaml = require('~/utils/loadYaml');
const { logger } = require('~/config');
const axios = require('axios');
const yaml = require('js-yaml');
const keyBy = require('lodash/keyBy');
const projectRoot = path.resolve(__dirname, '..', '..', '..', '..');
const defaultConfigPath = path.resolve(projectRoot, 'librechat.yaml');

View File

@@ -1,9 +1,6 @@
jest.mock('axios');
jest.mock('~/cache/getLogStores');
jest.mock('@librechat/api', () => ({
...jest.requireActual('@librechat/api'),
loadYaml: jest.fn(),
}));
jest.mock('~/utils/loadYaml');
jest.mock('librechat-data-provider', () => {
const actual = jest.requireActual('librechat-data-provider');
return {
@@ -33,22 +30,11 @@ jest.mock('librechat-data-provider', () => {
};
});
jest.mock('@librechat/data-schemas', () => {
return {
logger: {
info: jest.fn(),
warn: jest.fn(),
debug: jest.fn(),
error: jest.fn(),
},
};
});
const axios = require('axios');
const { loadYaml } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const loadCustomConfig = require('./loadCustomConfig');
const getLogStores = require('~/cache/getLogStores');
const loadYaml = require('~/utils/loadYaml');
const { logger } = require('~/config');
describe('loadCustomConfig', () => {
const mockSet = jest.fn();

View File

@@ -1,9 +1,5 @@
const { Providers } = require('@librechat/agents');
const {
primeResources,
extractLibreChatParams,
optionalChainWithEmptyCheck,
} = require('@librechat/api');
const { primeResources, optionalChainWithEmptyCheck } = require('@librechat/api');
const {
ErrorTypes,
EModelEndpoint,
@@ -11,12 +7,30 @@ const {
replaceSpecialVars,
providerEndpointMap,
} = require('librechat-data-provider');
const { getProviderConfig } = require('~/server/services/Endpoints');
const initAnthropic = require('~/server/services/Endpoints/anthropic/initialize');
const getBedrockOptions = require('~/server/services/Endpoints/bedrock/options');
const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
const initCustom = require('~/server/services/Endpoints/custom/initialize');
const initGoogle = require('~/server/services/Endpoints/google/initialize');
const generateArtifactsPrompt = require('~/app/clients/prompts/artifacts');
const { getCustomEndpointConfig } = require('~/server/services/Config');
const { processFiles } = require('~/server/services/Files/process');
const { getFiles, getToolFilesByIds } = require('~/models/File');
const { getConvoFiles } = require('~/models/Conversation');
const { getToolFilesByIds } = require('~/models/File');
const { getModelMaxTokens } = require('~/utils');
const { getFiles } = require('~/models/File');
const providerConfigMap = {
[Providers.XAI]: initCustom,
[Providers.OLLAMA]: initCustom,
[Providers.DEEPSEEK]: initCustom,
[Providers.OPENROUTER]: initCustom,
[EModelEndpoint.openAI]: initOpenAI,
[EModelEndpoint.google]: initGoogle,
[EModelEndpoint.azureOpenAI]: initOpenAI,
[EModelEndpoint.anthropic]: initAnthropic,
[EModelEndpoint.bedrock]: getBedrockOptions,
};
/**
* @param {object} params
@@ -57,7 +71,7 @@ const initializeAgent = async ({
),
);
const { resendFiles, maxContextTokens, modelOptions } = extractLibreChatParams(_modelOptions);
const { resendFiles = true, ...modelOptions } = _modelOptions;
if (isInitialAgent && conversationId != null && resendFiles) {
const fileIds = (await getConvoFiles(conversationId)) ?? [];
@@ -97,9 +111,17 @@ const initializeAgent = async ({
})) ?? {};
agent.endpoint = provider;
const { getOptions, overrideProvider } = await getProviderConfig(provider);
if (overrideProvider) {
agent.provider = overrideProvider;
let getOptions = providerConfigMap[provider];
if (!getOptions && providerConfigMap[provider.toLowerCase()] != null) {
agent.provider = provider.toLowerCase();
getOptions = providerConfigMap[agent.provider];
} else if (!getOptions) {
const customEndpointConfig = await getCustomEndpointConfig(provider);
if (!customEndpointConfig) {
throw new Error(`Provider ${provider} not supported`);
}
getOptions = initCustom;
agent.provider = Providers.OPENAI;
}
const _endpointOption =
@@ -123,8 +145,9 @@ const initializeAgent = async ({
modelOptions.maxTokens,
0,
);
const agentMaxContextTokens = optionalChainWithEmptyCheck(
maxContextTokens,
const maxContextTokens = optionalChainWithEmptyCheck(
modelOptions.maxContextTokens,
modelOptions.max_context_tokens,
getModelMaxTokens(tokensModel, providerEndpointMap[provider]),
4096,
);
@@ -166,7 +189,7 @@ const initializeAgent = async ({
attachments,
resendFiles,
toolContextMap,
maxContextTokens: (agentMaxContextTokens - maxTokens) * 0.9,
maxContextTokens: (maxContextTokens - maxTokens) * 0.9,
};
};

View File

@@ -1,9 +1,10 @@
const { isAgentsEndpoint, removeNullishValues, Constants } = require('librechat-data-provider');
const { isAgentsEndpoint, Constants } = require('librechat-data-provider');
const { loadAgent } = require('~/models/Agent');
const { logger } = require('~/config');
const buildOptions = (req, endpoint, parsedBody, endpointType) => {
const { spec, iconURL, agent_id, instructions, ...model_parameters } = parsedBody;
const { spec, iconURL, agent_id, instructions, maxContextTokens, ...model_parameters } =
parsedBody;
const agentPromise = loadAgent({
req,
agent_id: isAgentsEndpoint(endpoint) ? agent_id : Constants.EPHEMERAL_AGENT_ID,
@@ -14,16 +15,19 @@ const buildOptions = (req, endpoint, parsedBody, endpointType) => {
return undefined;
});
return removeNullishValues({
const endpointOption = {
spec,
iconURL,
endpoint,
agent_id,
endpointType,
instructions,
maxContextTokens,
model_parameters,
agent: agentPromise,
});
};
return endpointOption;
};
module.exports = { buildOptions };

View File

@@ -1,17 +1,11 @@
const { logger } = require('@librechat/data-schemas');
const { createContentAggregator } = require('@librechat/agents');
const { Constants, EModelEndpoint, getResponseSender } = require('librechat-data-provider');
const {
Constants,
EModelEndpoint,
isAgentsEndpoint,
getResponseSender,
} = require('librechat-data-provider');
const {
createToolEndCallback,
getDefaultHandlers,
createToolEndCallback,
} = require('~/server/controllers/agents/callbacks');
const { initializeAgent } = require('~/server/services/Endpoints/agents/agent');
const { getCustomEndpointConfig } = require('~/server/services/Config');
const { loadAgentTools } = require('~/server/services/ToolService');
const AgentClient = require('~/server/controllers/agents/client');
const { getAgent } = require('~/models/Agent');
@@ -67,7 +61,6 @@ const initializeClient = async ({ req, res, endpointOption }) => {
}
const primaryAgent = await endpointOption.agent;
delete endpointOption.agent;
if (!primaryAgent) {
throw new Error('Agent not found');
}
@@ -115,25 +108,11 @@ const initializeClient = async ({ req, res, endpointOption }) => {
}
}
let endpointConfig = req.app.locals[primaryConfig.endpoint];
if (!isAgentsEndpoint(primaryConfig.endpoint) && !endpointConfig) {
try {
endpointConfig = await getCustomEndpointConfig(primaryConfig.endpoint);
} catch (err) {
logger.error(
'[api/server/controllers/agents/client.js #titleConvo] Error getting custom endpoint config',
err,
);
}
}
const sender =
primaryAgent.name ??
getResponseSender({
...endpointOption,
model: endpointOption.model_parameters.model,
modelDisplayLabel: endpointConfig?.modelDisplayLabel,
modelLabel: endpointOption.model_parameters.modelLabel,
});
const client = new AgentClient({

View File

@@ -23,7 +23,7 @@ const addTitle = async (req, { text, response, client }) => {
let timeoutId;
try {
const timeoutPromise = new Promise((_, reject) => {
timeoutId = setTimeout(() => reject(new Error('Title generation timeout')), 45000);
timeoutId = setTimeout(() => reject(new Error('Title generation timeout')), 25000);
}).catch((error) => {
logger.error('Title error:', error);
});

View File

@@ -41,7 +41,7 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
{
reverseProxyUrl: ANTHROPIC_REVERSE_PROXY ?? null,
proxy: PROXY ?? null,
modelOptions: endpointOption?.model_parameters ?? {},
modelOptions: endpointOption.model_parameters,
},
clientOptions,
);

View File

@@ -75,7 +75,6 @@ function getLLMConfig(apiKey, options = {}) {
if (options.reverseProxyUrl) {
requestOptions.clientOptions.baseURL = options.reverseProxyUrl;
requestOptions.anthropicApiUrl = options.reverseProxyUrl;
}
return {

View File

@@ -1,45 +1,11 @@
const { anthropicSettings, removeNullishValues } = require('librechat-data-provider');
const { anthropicSettings } = require('librechat-data-provider');
const { getLLMConfig } = require('~/server/services/Endpoints/anthropic/llm');
const { checkPromptCacheSupport, getClaudeHeaders, configureReasoning } = require('./helpers');
jest.mock('https-proxy-agent', () => ({
HttpsProxyAgent: jest.fn().mockImplementation((proxy) => ({ proxy })),
}));
jest.mock('./helpers', () => ({
checkPromptCacheSupport: jest.fn(),
getClaudeHeaders: jest.fn(),
configureReasoning: jest.fn((requestOptions) => requestOptions),
}));
jest.mock('librechat-data-provider', () => ({
anthropicSettings: {
model: { default: 'claude-3-opus-20240229' },
maxOutputTokens: { default: 4096, reset: jest.fn(() => 4096) },
thinking: { default: false },
promptCache: { default: false },
thinkingBudget: { default: null },
},
removeNullishValues: jest.fn((obj) => {
const result = {};
for (const key in obj) {
if (obj[key] !== null && obj[key] !== undefined) {
result[key] = obj[key];
}
}
return result;
}),
}));
describe('getLLMConfig', () => {
beforeEach(() => {
jest.clearAllMocks();
checkPromptCacheSupport.mockReturnValue(false);
getClaudeHeaders.mockReturnValue(undefined);
configureReasoning.mockImplementation((requestOptions) => requestOptions);
anthropicSettings.maxOutputTokens.reset.mockReturnValue(4096);
});
it('should create a basic configuration with default values', () => {
const result = getLLMConfig('test-api-key', { modelOptions: {} });
@@ -70,7 +36,6 @@ describe('getLLMConfig', () => {
});
expect(result.llmConfig.clientOptions).toHaveProperty('baseURL', 'http://reverse-proxy');
expect(result.llmConfig).toHaveProperty('anthropicApiUrl', 'http://reverse-proxy');
});
it('should include topK and topP for non-Claude-3.7 models', () => {
@@ -100,11 +65,6 @@ describe('getLLMConfig', () => {
});
it('should NOT include topK and topP for Claude-3-7 models (hyphen notation)', () => {
configureReasoning.mockImplementation((requestOptions) => {
requestOptions.thinking = { type: 'enabled' };
return requestOptions;
});
const result = getLLMConfig('test-api-key', {
modelOptions: {
model: 'claude-3-7-sonnet',
@@ -118,11 +78,6 @@ describe('getLLMConfig', () => {
});
it('should NOT include topK and topP for Claude-3.7 models (decimal notation)', () => {
configureReasoning.mockImplementation((requestOptions) => {
requestOptions.thinking = { type: 'enabled' };
return requestOptions;
});
const result = getLLMConfig('test-api-key', {
modelOptions: {
model: 'claude-3.7-sonnet',
@@ -199,160 +154,4 @@ describe('getLLMConfig', () => {
expect(result3.llmConfig).toHaveProperty('topK', 10);
expect(result3.llmConfig).toHaveProperty('topP', 0.9);
});
describe('Edge cases', () => {
it('should handle missing apiKey', () => {
const result = getLLMConfig(undefined, { modelOptions: {} });
expect(result.llmConfig).not.toHaveProperty('apiKey');
});
it('should handle empty modelOptions', () => {
expect(() => {
getLLMConfig('test-api-key', {});
}).toThrow("Cannot read properties of undefined (reading 'thinking')");
});
it('should handle no options parameter', () => {
expect(() => {
getLLMConfig('test-api-key');
}).toThrow("Cannot read properties of undefined (reading 'thinking')");
});
it('should handle temperature, stop sequences, and stream settings', () => {
const result = getLLMConfig('test-api-key', {
modelOptions: {
temperature: 0.7,
stop: ['\n\n', 'END'],
stream: false,
},
});
expect(result.llmConfig).toHaveProperty('temperature', 0.7);
expect(result.llmConfig).toHaveProperty('stopSequences', ['\n\n', 'END']);
expect(result.llmConfig).toHaveProperty('stream', false);
});
it('should handle maxOutputTokens when explicitly set to falsy value', () => {
anthropicSettings.maxOutputTokens.reset.mockReturnValue(8192);
const result = getLLMConfig('test-api-key', {
modelOptions: {
model: 'claude-3-opus',
maxOutputTokens: null,
},
});
expect(anthropicSettings.maxOutputTokens.reset).toHaveBeenCalledWith('claude-3-opus');
expect(result.llmConfig).toHaveProperty('maxTokens', 8192);
});
it('should handle both proxy and reverseProxyUrl', () => {
const result = getLLMConfig('test-api-key', {
modelOptions: {},
proxy: 'http://proxy:8080',
reverseProxyUrl: 'https://reverse-proxy.com',
});
expect(result.llmConfig.clientOptions).toHaveProperty('fetchOptions');
expect(result.llmConfig.clientOptions.fetchOptions).toHaveProperty('dispatcher');
expect(result.llmConfig.clientOptions.fetchOptions.dispatcher).toBeDefined();
expect(result.llmConfig.clientOptions.fetchOptions.dispatcher.constructor.name).toBe(
'ProxyAgent',
);
expect(result.llmConfig.clientOptions).toHaveProperty('baseURL', 'https://reverse-proxy.com');
expect(result.llmConfig).toHaveProperty('anthropicApiUrl', 'https://reverse-proxy.com');
});
it('should handle prompt cache with supported model', () => {
checkPromptCacheSupport.mockReturnValue(true);
getClaudeHeaders.mockReturnValue({ 'anthropic-beta': 'prompt-caching-2024-07-31' });
const result = getLLMConfig('test-api-key', {
modelOptions: {
model: 'claude-3-5-sonnet',
promptCache: true,
},
});
expect(checkPromptCacheSupport).toHaveBeenCalledWith('claude-3-5-sonnet');
expect(getClaudeHeaders).toHaveBeenCalledWith('claude-3-5-sonnet', true);
expect(result.llmConfig.clientOptions.defaultHeaders).toEqual({
'anthropic-beta': 'prompt-caching-2024-07-31',
});
});
it('should handle thinking and thinkingBudget options', () => {
configureReasoning.mockImplementation((requestOptions, systemOptions) => {
if (systemOptions.thinking) {
requestOptions.thinking = { type: 'enabled' };
}
if (systemOptions.thinkingBudget) {
requestOptions.thinking = {
...requestOptions.thinking,
budget_tokens: systemOptions.thinkingBudget,
};
}
return requestOptions;
});
getLLMConfig('test-api-key', {
modelOptions: {
model: 'claude-3-7-sonnet',
thinking: true,
thinkingBudget: 5000,
},
});
expect(configureReasoning).toHaveBeenCalledWith(
expect.any(Object),
expect.objectContaining({
thinking: true,
promptCache: false,
thinkingBudget: 5000,
}),
);
});
it('should remove system options from modelOptions', () => {
const modelOptions = {
model: 'claude-3-opus',
thinking: true,
promptCache: true,
thinkingBudget: 1000,
temperature: 0.5,
};
getLLMConfig('test-api-key', { modelOptions });
expect(modelOptions).not.toHaveProperty('thinking');
expect(modelOptions).not.toHaveProperty('promptCache');
expect(modelOptions).not.toHaveProperty('thinkingBudget');
expect(modelOptions).toHaveProperty('temperature', 0.5);
});
it('should handle all nullish values removal', () => {
removeNullishValues.mockImplementation((obj) => {
const cleaned = {};
Object.entries(obj).forEach(([key, value]) => {
if (value !== null && value !== undefined) {
cleaned[key] = value;
}
});
return cleaned;
});
const result = getLLMConfig('test-api-key', {
modelOptions: {
temperature: null,
topP: undefined,
topK: 0,
stop: [],
},
});
expect(result.llmConfig).not.toHaveProperty('temperature');
expect(result.llmConfig).not.toHaveProperty('topP');
expect(result.llmConfig).toHaveProperty('topK', 0);
expect(result.llmConfig).toHaveProperty('stopSequences', []);
});
});
});

View File

@@ -1,7 +1,12 @@
const OpenAI = require('openai');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { constructAzureURL, isUserProvided, resolveHeaders } = require('@librechat/api');
const { ErrorTypes, EModelEndpoint, mapModelToAzureConfig } = require('librechat-data-provider');
const { constructAzureURL, isUserProvided } = require('@librechat/api');
const {
ErrorTypes,
EModelEndpoint,
resolveHeaders,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const {
getUserKeyValues,
getUserKeyExpiry,
@@ -109,14 +114,11 @@ const initializeClient = async ({ req, res, version, endpointOption, initAppClie
apiKey = azureOptions.azureOpenAIApiKey;
opts.defaultQuery = { 'api-version': azureOptions.azureOpenAIApiVersion };
opts.defaultHeaders = resolveHeaders(
{
...headers,
'api-key': apiKey,
'OpenAI-Beta': `assistants=${version}`,
},
req.user,
);
opts.defaultHeaders = resolveHeaders({
...headers,
'api-key': apiKey,
'OpenAI-Beta': `assistants=${version}`,
});
opts.model = azureOptions.azureOpenAIApiDeploymentName;
if (initAppClient) {

View File

@@ -64,7 +64,7 @@ const getOptions = async ({ req, overrideModel, endpointOption }) => {
/** @type {BedrockClientOptions} */
const requestOptions = {
model: overrideModel ?? endpointOption?.model,
model: overrideModel ?? endpointOption.model,
region: BEDROCK_AWS_DEFAULT_REGION,
};
@@ -76,7 +76,7 @@ const getOptions = async ({ req, overrideModel, endpointOption }) => {
const llmConfig = bedrockOutputParser(
bedrockInputParser.parse(
removeNullishValues(Object.assign(requestOptions, endpointOption?.model_parameters ?? {})),
removeNullishValues(Object.assign(requestOptions, endpointOption.model_parameters)),
),
);

View File

@@ -6,7 +6,7 @@ const {
extractEnvVariable,
} = require('librechat-data-provider');
const { Providers } = require('@librechat/agents');
const { getOpenAIConfig, createHandleLLMNewToken, resolveHeaders } = require('@librechat/api');
const { getOpenAIConfig, createHandleLLMNewToken } = require('@librechat/api');
const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
const { getCustomEndpointConfig } = require('~/server/services/Config');
const { fetchModels } = require('~/server/services/ModelService');
@@ -28,7 +28,12 @@ const initializeClient = async ({ req, res, endpointOption, optionsOnly, overrid
const CUSTOM_API_KEY = extractEnvVariable(endpointConfig.apiKey);
const CUSTOM_BASE_URL = extractEnvVariable(endpointConfig.baseURL);
let resolvedHeaders = resolveHeaders(endpointConfig.headers, req.user);
let resolvedHeaders = {};
if (endpointConfig.headers && typeof endpointConfig.headers === 'object') {
Object.keys(endpointConfig.headers).forEach((key) => {
resolvedHeaders[key] = extractEnvVariable(endpointConfig.headers[key]);
});
}
if (CUSTOM_API_KEY.match(envVarRegex)) {
throw new Error(`Missing API Key for ${endpoint}.`);
@@ -129,7 +134,7 @@ const initializeClient = async ({ req, res, endpointOption, optionsOnly, overrid
};
if (optionsOnly) {
const modelOptions = endpointOption?.model_parameters ?? {};
const modelOptions = endpointOption.model_parameters;
if (endpoint !== Providers.OLLAMA) {
clientOptions = Object.assign(
{

View File

@@ -1,93 +0,0 @@
const initializeClient = require('./initialize');
jest.mock('@librechat/api', () => ({
resolveHeaders: jest.fn(),
getOpenAIConfig: jest.fn(),
createHandleLLMNewToken: jest.fn(),
}));
jest.mock('librechat-data-provider', () => ({
CacheKeys: { TOKEN_CONFIG: 'token_config' },
ErrorTypes: { NO_USER_KEY: 'NO_USER_KEY', NO_BASE_URL: 'NO_BASE_URL' },
envVarRegex: /\$\{([^}]+)\}/,
FetchTokenConfig: {},
extractEnvVariable: jest.fn((value) => value),
}));
jest.mock('@librechat/agents', () => ({
Providers: { OLLAMA: 'ollama' },
}));
jest.mock('~/server/services/UserService', () => ({
getUserKeyValues: jest.fn(),
checkUserKeyExpiry: jest.fn(),
}));
jest.mock('~/server/services/Config', () => ({
getCustomEndpointConfig: jest.fn().mockResolvedValue({
apiKey: 'test-key',
baseURL: 'https://test.com',
headers: { 'x-user': '{{LIBRECHAT_USER_ID}}', 'x-email': '{{LIBRECHAT_USER_EMAIL}}' },
models: { default: ['test-model'] },
}),
}));
jest.mock('~/server/services/ModelService', () => ({
fetchModels: jest.fn(),
}));
jest.mock('~/app/clients/OpenAIClient', () => {
return jest.fn().mockImplementation(() => ({
options: {},
}));
});
jest.mock('~/server/utils', () => ({
isUserProvided: jest.fn().mockReturnValue(false),
}));
jest.mock('~/cache/getLogStores', () =>
jest.fn().mockReturnValue({
get: jest.fn(),
}),
);
describe('custom/initializeClient', () => {
const mockRequest = {
body: { endpoint: 'test-endpoint' },
user: { id: 'user-123', email: 'test@example.com' },
app: { locals: {} },
};
const mockResponse = {};
beforeEach(() => {
jest.clearAllMocks();
});
it('calls resolveHeaders with headers and user', async () => {
const { resolveHeaders } = require('@librechat/api');
await initializeClient({ req: mockRequest, res: mockResponse, optionsOnly: true });
expect(resolveHeaders).toHaveBeenCalledWith(
{ 'x-user': '{{LIBRECHAT_USER_ID}}', 'x-email': '{{LIBRECHAT_USER_EMAIL}}' },
{ id: 'user-123', email: 'test@example.com' },
);
});
it('throws if endpoint config is missing', async () => {
const { getCustomEndpointConfig } = require('~/server/services/Config');
getCustomEndpointConfig.mockResolvedValueOnce(null);
await expect(
initializeClient({ req: mockRequest, res: mockResponse, optionsOnly: true }),
).rejects.toThrow('Config not found for the test-endpoint custom endpoint.');
});
it('throws if user is missing', async () => {
await expect(
initializeClient({
req: { ...mockRequest, user: undefined },
res: mockResponse,
optionsOnly: true,
}),
).rejects.toThrow("Cannot read properties of undefined (reading 'id')");
});
});

View File

@@ -1,6 +1,7 @@
const { getGoogleConfig, isEnabled } = require('@librechat/api');
const { EModelEndpoint, AuthKeys } = require('librechat-data-provider');
const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
const { getLLMConfig } = require('~/server/services/Endpoints/google/llm');
const { isEnabled } = require('~/server/utils');
const { GoogleClient } = require('~/app');
const initializeClient = async ({ req, res, endpointOption, overrideModel, optionsOnly }) => {
@@ -17,7 +18,7 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
let serviceKey = {};
try {
serviceKey = require('~/data/auth.json');
} catch (_e) {
} catch (e) {
// Do nothing
}
@@ -57,14 +58,14 @@ const initializeClient = async ({ req, res, endpointOption, overrideModel, optio
if (optionsOnly) {
clientOptions = Object.assign(
{
modelOptions: endpointOption?.model_parameters ?? {},
modelOptions: endpointOption.model_parameters,
},
clientOptions,
);
if (overrideModel) {
clientOptions.modelOptions.model = overrideModel;
}
return getGoogleConfig(credentials, clientOptions);
return getLLMConfig(credentials, clientOptions);
}
const client = new GoogleClient(credentials, clientOptions);

View File

@@ -1,15 +1,13 @@
import { Providers } from '@librechat/agents';
import { googleSettings, AuthKeys } from 'librechat-data-provider';
import type { GoogleClientOptions, VertexAIClientOptions } from '@librechat/agents';
import type * as t from '~/types';
import { isEnabled } from '~/utils';
const { Providers } = require('@librechat/agents');
const { AuthKeys } = require('librechat-data-provider');
const { isEnabled } = require('~/server/utils');
function getThresholdMapping(model: string) {
function getThresholdMapping(model) {
const gemini1Pattern = /gemini-(1\.0|1\.5|pro$|1\.0-pro|1\.5-pro|1\.5-flash-001)/;
const restrictedPattern = /(gemini-(1\.5-flash-8b|2\.0|exp)|learnlm)/;
if (gemini1Pattern.test(model)) {
return (value: string) => {
return (value) => {
if (value === 'OFF') {
return 'BLOCK_NONE';
}
@@ -18,7 +16,7 @@ function getThresholdMapping(model: string) {
}
if (restrictedPattern.test(model)) {
return (value: string) => {
return (value) => {
if (value === 'OFF' || value === 'HARM_BLOCK_THRESHOLD_UNSPECIFIED') {
return 'BLOCK_NONE';
}
@@ -26,16 +24,19 @@ function getThresholdMapping(model: string) {
};
}
return (value: string) => value;
return (value) => value;
}
export function getSafetySettings(
model?: string,
): Array<{ category: string; threshold: string }> | undefined {
/**
*
* @param {string} model
* @returns {Array<{category: string, threshold: string}> | undefined}
*/
function getSafetySettings(model) {
if (isEnabled(process.env.GOOGLE_EXCLUDE_SAFETY_SETTINGS)) {
return undefined;
}
const mapThreshold = getThresholdMapping(model ?? '');
const mapThreshold = getThresholdMapping(model);
return [
{
@@ -73,27 +74,24 @@ export function getSafetySettings(
* Replicates core logic from GoogleClient's constructor and setOptions, plus client determination.
* Returns an object with the provider label and the final options that would be passed to createLLM.
*
* @param credentials - Either a JSON string or an object containing Google keys
* @param options - The same shape as the "GoogleClient" constructor options
* @param {string | object} credentials - Either a JSON string or an object containing Google keys
* @param {object} [options={}] - The same shape as the "GoogleClient" constructor options
*/
export function getGoogleConfig(
credentials: string | t.GoogleCredentials | undefined,
options: t.GoogleConfigOptions = {},
) {
let creds: t.GoogleCredentials = {};
function getLLMConfig(credentials, options = {}) {
// 1. Parse credentials
let creds = {};
if (typeof credentials === 'string') {
try {
creds = JSON.parse(credentials);
} catch (err: unknown) {
throw new Error(
`Error parsing string credentials: ${err instanceof Error ? err.message : 'Unknown error'}`,
);
} catch (err) {
throw new Error(`Error parsing string credentials: ${err.message}`);
}
} else if (credentials && typeof credentials === 'object') {
creds = credentials;
}
// Extract from credentials
const serviceKeyRaw = creds[AuthKeys.GOOGLE_SERVICE_KEY] ?? {};
const serviceKey =
typeof serviceKeyRaw === 'string' ? JSON.parse(serviceKeyRaw) : (serviceKeyRaw ?? {});
@@ -104,15 +102,9 @@ export function getGoogleConfig(
const reverseProxyUrl = options.reverseProxyUrl;
const authHeader = options.authHeader;
const {
thinking = googleSettings.thinking.default,
thinkingBudget = googleSettings.thinkingBudget.default,
...modelOptions
} = options.modelOptions || {};
const llmConfig: GoogleClientOptions | VertexAIClientOptions = {
...(modelOptions || {}),
model: modelOptions?.model ?? '',
/** @type {GoogleClientOptions | VertexAIClientOptions} */
let llmConfig = {
...(options.modelOptions || {}),
maxRetries: 2,
};
@@ -129,30 +121,16 @@ export function getGoogleConfig(
// If we have a GCP project => Vertex AI
if (project_id && provider === Providers.VERTEXAI) {
(llmConfig as VertexAIClientOptions).authOptions = {
/** @type {VertexAIClientOptions['authOptions']} */
llmConfig.authOptions = {
credentials: { ...serviceKey },
projectId: project_id,
};
(llmConfig as VertexAIClientOptions).location = process.env.GOOGLE_LOC || 'us-central1';
llmConfig.location = process.env.GOOGLE_LOC || 'us-central1';
} else if (apiKey && provider === Providers.GOOGLE) {
llmConfig.apiKey = apiKey;
}
const shouldEnableThinking =
thinking && thinkingBudget != null && (thinkingBudget > 0 || thinkingBudget === -1);
if (shouldEnableThinking && provider === Providers.GOOGLE) {
(llmConfig as GoogleClientOptions).thinkingConfig = {
thinkingBudget: thinking ? thinkingBudget : googleSettings.thinkingBudget.default,
includeThoughts: Boolean(thinking),
};
} else if (shouldEnableThinking && provider === Providers.VERTEXAI) {
(llmConfig as VertexAIClientOptions).thinkingBudget = thinking
? thinkingBudget
: googleSettings.thinkingBudget.default;
(llmConfig as VertexAIClientOptions).includeThoughts = Boolean(thinking);
}
/*
let legacyOptions = {};
// Filter out any "examples" that are empty
@@ -174,11 +152,11 @@ export function getGoogleConfig(
*/
if (reverseProxyUrl) {
(llmConfig as GoogleClientOptions).baseUrl = reverseProxyUrl;
llmConfig.baseUrl = reverseProxyUrl;
}
if (authHeader) {
(llmConfig as GoogleClientOptions).customHeaders = {
llmConfig.customHeaders = {
Authorization: `Bearer ${apiKey}`,
};
}
@@ -191,3 +169,8 @@ export function getGoogleConfig(
llmConfig,
};
}
module.exports = {
getLLMConfig,
getSafetySettings,
};

View File

@@ -0,0 +1,41 @@
const { removeNullishValues } = require('librechat-data-provider');
const generateArtifactsPrompt = require('~/app/clients/prompts/artifacts');
const buildOptions = (endpoint, parsedBody) => {
const {
modelLabel,
chatGptLabel,
promptPrefix,
agentOptions,
tools = [],
iconURL,
greeting,
spec,
maxContextTokens,
artifacts,
...modelOptions
} = parsedBody;
const endpointOption = removeNullishValues({
endpoint,
tools: tools
.map((tool) => tool?.pluginKey ?? tool)
.filter((toolName) => typeof toolName === 'string'),
modelLabel,
chatGptLabel,
promptPrefix,
agentOptions,
iconURL,
greeting,
spec,
maxContextTokens,
modelOptions,
});
if (typeof artifacts === 'string') {
endpointOption.artifactsPrompt = generateArtifactsPrompt({ endpoint, artifacts });
}
return endpointOption;
};
module.exports = buildOptions;

View File

@@ -0,0 +1,7 @@
const buildOptions = require('./build');
const initializeClient = require('./initialize');
module.exports = {
buildOptions,
initializeClient,
};

View File

@@ -0,0 +1,134 @@
const {
EModelEndpoint,
resolveHeaders,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const { isEnabled, isUserProvided, getAzureCredentials } = require('@librechat/api');
const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
const { PluginsClient } = require('~/app');
const initializeClient = async ({ req, res, endpointOption }) => {
const {
PROXY,
OPENAI_API_KEY,
AZURE_API_KEY,
PLUGINS_USE_AZURE,
OPENAI_REVERSE_PROXY,
AZURE_OPENAI_BASEURL,
OPENAI_SUMMARIZE,
DEBUG_PLUGINS,
} = process.env;
const { key: expiresAt, model: modelName } = req.body;
const contextStrategy = isEnabled(OPENAI_SUMMARIZE) ? 'summarize' : null;
let useAzure = isEnabled(PLUGINS_USE_AZURE);
let endpoint = useAzure ? EModelEndpoint.azureOpenAI : EModelEndpoint.openAI;
/** @type {false | TAzureConfig} */
const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
useAzure = useAzure || azureConfig?.plugins;
if (useAzure && endpoint !== EModelEndpoint.azureOpenAI) {
endpoint = EModelEndpoint.azureOpenAI;
}
const credentials = {
[EModelEndpoint.openAI]: OPENAI_API_KEY,
[EModelEndpoint.azureOpenAI]: AZURE_API_KEY,
};
const baseURLOptions = {
[EModelEndpoint.openAI]: OPENAI_REVERSE_PROXY,
[EModelEndpoint.azureOpenAI]: AZURE_OPENAI_BASEURL,
};
const userProvidesKey = isUserProvided(credentials[endpoint]);
const userProvidesURL = isUserProvided(baseURLOptions[endpoint]);
let userValues = null;
if (expiresAt && (userProvidesKey || userProvidesURL)) {
checkUserKeyExpiry(expiresAt, endpoint);
userValues = await getUserKeyValues({ userId: req.user.id, name: endpoint });
}
let apiKey = userProvidesKey ? userValues?.apiKey : credentials[endpoint];
let baseURL = userProvidesURL ? userValues?.baseURL : baseURLOptions[endpoint];
const clientOptions = {
contextStrategy,
debug: isEnabled(DEBUG_PLUGINS),
reverseProxyUrl: baseURL ? baseURL : null,
proxy: PROXY ?? null,
req,
res,
...endpointOption,
};
if (useAzure && azureConfig) {
const { modelGroupMap, groupMap } = azureConfig;
const {
azureOptions,
baseURL,
headers = {},
serverless,
} = mapModelToAzureConfig({
modelName,
modelGroupMap,
groupMap,
});
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = resolveHeaders({ ...headers, ...(clientOptions.headers ?? {}) });
clientOptions.titleConvo = azureConfig.titleConvo;
clientOptions.titleModel = azureConfig.titleModel;
clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
const azureRate = modelName.includes('gpt-4') ? 30 : 17;
clientOptions.streamRate = azureConfig.streamRate ?? azureRate;
const groupName = modelGroupMap[modelName].group;
clientOptions.addParams = azureConfig.groupMap[groupName].addParams;
clientOptions.dropParams = azureConfig.groupMap[groupName].dropParams;
clientOptions.forcePrompt = azureConfig.groupMap[groupName].forcePrompt;
apiKey = azureOptions.azureOpenAIApiKey;
clientOptions.azure = !serverless && azureOptions;
if (serverless === true) {
clientOptions.defaultQuery = azureOptions.azureOpenAIApiVersion
? { 'api-version': azureOptions.azureOpenAIApiVersion }
: undefined;
clientOptions.headers['api-key'] = apiKey;
}
} else if (useAzure || (apiKey && apiKey.includes('{"azure') && !clientOptions.azure)) {
clientOptions.azure = userProvidesKey ? JSON.parse(userValues.apiKey) : getAzureCredentials();
apiKey = clientOptions.azure.azureOpenAIApiKey;
}
/** @type {undefined | TBaseEndpoint} */
const pluginsConfig = req.app.locals[EModelEndpoint.gptPlugins];
if (!useAzure && pluginsConfig) {
clientOptions.streamRate = pluginsConfig.streamRate;
}
/** @type {undefined | TBaseEndpoint} */
const allConfig = req.app.locals.all;
if (allConfig) {
clientOptions.streamRate = allConfig.streamRate;
}
if (!apiKey) {
throw new Error(`${endpoint} API key not provided. Please provide it again.`);
}
const client = new PluginsClient(apiKey, clientOptions);
return {
client,
azure: clientOptions.azure,
openAIApiKey: apiKey,
};
};
module.exports = initializeClient;

View File

@@ -0,0 +1,410 @@
// gptPlugins/initializeClient.spec.js
jest.mock('~/cache/getLogStores');
const { EModelEndpoint, ErrorTypes, validateAzureGroups } = require('librechat-data-provider');
const { getUserKey, getUserKeyValues } = require('~/server/services/UserService');
const initializeClient = require('./initialize');
const { PluginsClient } = require('~/app');
// Mock getUserKey since it's the only function we want to mock
jest.mock('~/server/services/UserService', () => ({
getUserKey: jest.fn(),
getUserKeyValues: jest.fn(),
checkUserKeyExpiry: jest.requireActual('~/server/services/UserService').checkUserKeyExpiry,
}));
describe('gptPlugins/initializeClient', () => {
// Set up environment variables
const originalEnvironment = process.env;
const app = {
locals: {},
};
const validAzureConfigs = [
{
group: 'librechat-westus',
apiKey: 'WESTUS_API_KEY',
instanceName: 'librechat-westus',
version: '2023-12-01-preview',
models: {
'gpt-4-vision-preview': {
deploymentName: 'gpt-4-vision-preview',
version: '2024-02-15-preview',
},
'gpt-3.5-turbo': {
deploymentName: 'gpt-35-turbo',
},
'gpt-3.5-turbo-1106': {
deploymentName: 'gpt-35-turbo-1106',
},
'gpt-4': {
deploymentName: 'gpt-4',
},
'gpt-4-1106-preview': {
deploymentName: 'gpt-4-1106-preview',
},
},
},
{
group: 'librechat-eastus',
apiKey: 'EASTUS_API_KEY',
instanceName: 'librechat-eastus',
deploymentName: 'gpt-4-turbo',
version: '2024-02-15-preview',
models: {
'gpt-4-turbo': true,
},
baseURL: 'https://eastus.example.com',
additionalHeaders: {
'x-api-key': 'x-api-key-value',
},
},
{
group: 'mistral-inference',
apiKey: 'AZURE_MISTRAL_API_KEY',
baseURL:
'https://Mistral-large-vnpet-serverless.region.inference.ai.azure.com/v1/chat/completions',
serverless: true,
models: {
'mistral-large': true,
},
},
{
group: 'llama-70b-chat',
apiKey: 'AZURE_LLAMA2_70B_API_KEY',
baseURL:
'https://Llama-2-70b-chat-qmvyb-serverless.region.inference.ai.azure.com/v1/chat/completions',
serverless: true,
models: {
'llama-70b-chat': true,
},
},
];
const { modelNames, modelGroupMap, groupMap } = validateAzureGroups(validAzureConfigs);
beforeEach(() => {
jest.resetModules(); // Clears the cache
process.env = { ...originalEnvironment }; // Make a copy
});
afterAll(() => {
process.env = originalEnvironment; // Restore original env vars
});
test('should initialize PluginsClient with OpenAI API key and default options', async () => {
process.env.OPENAI_API_KEY = 'test-openai-api-key';
process.env.PLUGINS_USE_AZURE = 'false';
process.env.DEBUG_PLUGINS = 'false';
process.env.OPENAI_SUMMARIZE = 'false';
const req = {
body: { key: null },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'default-model' } };
const { client, openAIApiKey } = await initializeClient({ req, res, endpointOption });
expect(openAIApiKey).toBe('test-openai-api-key');
expect(client).toBeInstanceOf(PluginsClient);
});
test('should initialize PluginsClient with Azure credentials when PLUGINS_USE_AZURE is true', async () => {
process.env.AZURE_API_KEY = 'test-azure-api-key';
(process.env.AZURE_OPENAI_API_INSTANCE_NAME = 'some-value'),
(process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME = 'some-value'),
(process.env.AZURE_OPENAI_API_VERSION = 'some-value'),
(process.env.AZURE_OPENAI_API_COMPLETIONS_DEPLOYMENT_NAME = 'some-value'),
(process.env.AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME = 'some-value'),
(process.env.PLUGINS_USE_AZURE = 'true');
process.env.DEBUG_PLUGINS = 'false';
process.env.OPENAI_SUMMARIZE = 'false';
const req = {
body: { key: null },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'test-model' } };
const { client, azure } = await initializeClient({ req, res, endpointOption });
expect(azure.azureOpenAIApiKey).toBe('test-azure-api-key');
expect(client).toBeInstanceOf(PluginsClient);
});
test('should use the debug option when DEBUG_PLUGINS is enabled', async () => {
process.env.OPENAI_API_KEY = 'test-openai-api-key';
process.env.DEBUG_PLUGINS = 'true';
const req = {
body: { key: null },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'default-model' } };
const { client } = await initializeClient({ req, res, endpointOption });
expect(client.options.debug).toBe(true);
});
test('should set contextStrategy to summarize when OPENAI_SUMMARIZE is enabled', async () => {
process.env.OPENAI_API_KEY = 'test-openai-api-key';
process.env.OPENAI_SUMMARIZE = 'true';
const req = {
body: { key: null },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'default-model' } };
const { client } = await initializeClient({ req, res, endpointOption });
expect(client.options.contextStrategy).toBe('summarize');
});
// ... additional tests for reverseProxyUrl, proxy, user-provided keys, etc.
test('should throw an error if no API keys are provided in the environment', async () => {
// Clear the environment variables for API keys
delete process.env.OPENAI_API_KEY;
delete process.env.AZURE_API_KEY;
const req = {
body: { key: null },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'default-model' } };
await expect(initializeClient({ req, res, endpointOption })).rejects.toThrow(
`${EModelEndpoint.openAI} API key not provided.`,
);
});
// Additional tests for gptPlugins/initializeClient.spec.js
// ... (previous test setup code)
test('should handle user-provided OpenAI keys and check expiry', async () => {
process.env.OPENAI_API_KEY = 'user_provided';
process.env.PLUGINS_USE_AZURE = 'false';
const futureDate = new Date(Date.now() + 10000).toISOString();
const req = {
body: { key: futureDate },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'default-model' } };
getUserKeyValues.mockResolvedValue({ apiKey: 'test-user-provided-openai-api-key' });
const { openAIApiKey } = await initializeClient({ req, res, endpointOption });
expect(openAIApiKey).toBe('test-user-provided-openai-api-key');
});
test('should handle user-provided Azure keys and check expiry', async () => {
process.env.AZURE_API_KEY = 'user_provided';
process.env.PLUGINS_USE_AZURE = 'true';
const futureDate = new Date(Date.now() + 10000).toISOString();
const req = {
body: { key: futureDate },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'test-model' } };
getUserKeyValues.mockResolvedValue({
apiKey: JSON.stringify({
azureOpenAIApiKey: 'test-user-provided-azure-api-key',
azureOpenAIApiDeploymentName: 'test-deployment',
}),
});
const { azure } = await initializeClient({ req, res, endpointOption });
expect(azure.azureOpenAIApiKey).toBe('test-user-provided-azure-api-key');
});
test('should throw an error if the user-provided key has expired', async () => {
process.env.OPENAI_API_KEY = 'user_provided';
process.env.PLUGINS_USE_AZURE = 'FALSE';
const expiresAt = new Date(Date.now() - 10000).toISOString(); // Expired
const req = {
body: { key: expiresAt },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'default-model' } };
await expect(initializeClient({ req, res, endpointOption })).rejects.toThrow(
/expired_user_key/,
);
});
test('should throw an error if the user-provided Azure key is invalid JSON', async () => {
process.env.AZURE_API_KEY = 'user_provided';
process.env.PLUGINS_USE_AZURE = 'true';
const req = {
body: { key: new Date(Date.now() + 10000).toISOString() },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'default-model' } };
// Simulate an invalid JSON string returned from getUserKey
getUserKey.mockResolvedValue('invalid-json');
getUserKeyValues.mockImplementation(() => {
let userValues = getUserKey();
try {
userValues = JSON.parse(userValues);
} catch (e) {
throw new Error(
JSON.stringify({
type: ErrorTypes.INVALID_USER_KEY,
}),
);
}
return userValues;
});
await expect(initializeClient({ req, res, endpointOption })).rejects.toThrow(
/invalid_user_key/,
);
});
test('should correctly handle the presence of a reverse proxy', async () => {
process.env.OPENAI_REVERSE_PROXY = 'http://reverse.proxy';
process.env.PROXY = 'http://proxy';
process.env.OPENAI_API_KEY = 'test-openai-api-key';
const req = {
body: { key: null },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = { modelOptions: { model: 'default-model' } };
const { client } = await initializeClient({ req, res, endpointOption });
expect(client.options.reverseProxyUrl).toBe('http://reverse.proxy');
expect(client.options.proxy).toBe('http://proxy');
});
test('should throw an error when user-provided values are not valid JSON', async () => {
process.env.OPENAI_API_KEY = 'user_provided';
const req = {
body: { key: new Date(Date.now() + 10000).toISOString(), endpoint: 'openAI' },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = {};
// Mock getUserKey to return a non-JSON string
getUserKey.mockResolvedValue('not-a-json');
getUserKeyValues.mockImplementation(() => {
let userValues = getUserKey();
try {
userValues = JSON.parse(userValues);
} catch (e) {
throw new Error(
JSON.stringify({
type: ErrorTypes.INVALID_USER_KEY,
}),
);
}
return userValues;
});
await expect(initializeClient({ req, res, endpointOption })).rejects.toThrow(
/invalid_user_key/,
);
});
test('should initialize client correctly for Azure OpenAI with valid configuration', async () => {
const req = {
body: {
key: null,
endpoint: EModelEndpoint.gptPlugins,
model: modelNames[0],
},
user: { id: '123' },
app: {
locals: {
[EModelEndpoint.azureOpenAI]: {
plugins: true,
modelNames,
modelGroupMap,
groupMap,
},
},
},
};
const res = {};
const endpointOption = {};
const client = await initializeClient({ req, res, endpointOption });
expect(client.client.options.azure).toBeDefined();
});
test('should initialize client with default options when certain env vars are not set', async () => {
delete process.env.OPENAI_SUMMARIZE;
process.env.OPENAI_API_KEY = 'some-api-key';
const req = {
body: { key: null, endpoint: EModelEndpoint.gptPlugins },
user: { id: '123' },
app,
};
const res = {};
const endpointOption = {};
const client = await initializeClient({ req, res, endpointOption });
expect(client.client.options.contextStrategy).toBe(null);
});
test('should correctly use user-provided apiKey and baseURL when provided', async () => {
process.env.OPENAI_API_KEY = 'user_provided';
process.env.OPENAI_REVERSE_PROXY = 'user_provided';
const req = {
body: {
key: new Date(Date.now() + 10000).toISOString(),
endpoint: 'openAI',
},
user: {
id: '123',
},
app,
};
const res = {};
const endpointOption = {};
getUserKeyValues.mockResolvedValue({
apiKey: 'test',
baseURL: 'https://user-provided-url.com',
});
const result = await initializeClient({ req, res, endpointOption });
expect(result.openAIApiKey).toBe('test');
expect(result.client.options.reverseProxyUrl).toBe('https://user-provided-url.com');
});
});

View File

@@ -1,58 +0,0 @@
const { Providers } = require('@librechat/agents');
const { EModelEndpoint } = require('librechat-data-provider');
const initAnthropic = require('~/server/services/Endpoints/anthropic/initialize');
const getBedrockOptions = require('~/server/services/Endpoints/bedrock/options');
const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
const initCustom = require('~/server/services/Endpoints/custom/initialize');
const initGoogle = require('~/server/services/Endpoints/google/initialize');
const { getCustomEndpointConfig } = require('~/server/services/Config');
const providerConfigMap = {
[Providers.XAI]: initCustom,
[Providers.OLLAMA]: initCustom,
[Providers.DEEPSEEK]: initCustom,
[Providers.OPENROUTER]: initCustom,
[EModelEndpoint.openAI]: initOpenAI,
[EModelEndpoint.google]: initGoogle,
[EModelEndpoint.azureOpenAI]: initOpenAI,
[EModelEndpoint.anthropic]: initAnthropic,
[EModelEndpoint.bedrock]: getBedrockOptions,
};
/**
* Get the provider configuration and override endpoint based on the provider string
* @param {string} provider - The provider string
* @returns {Promise<{
* getOptions: Function,
* overrideProvider?: string,
* customEndpointConfig?: TEndpoint
* }>}
*/
async function getProviderConfig(provider) {
let getOptions = providerConfigMap[provider];
let overrideProvider;
/** @type {TEndpoint | undefined} */
let customEndpointConfig;
if (!getOptions && providerConfigMap[provider.toLowerCase()] != null) {
overrideProvider = provider.toLowerCase();
getOptions = providerConfigMap[overrideProvider];
} else if (!getOptions) {
customEndpointConfig = await getCustomEndpointConfig(provider);
if (!customEndpointConfig) {
throw new Error(`Provider ${provider} not supported`);
}
getOptions = initCustom;
overrideProvider = Providers.OPENAI;
}
return {
getOptions,
overrideProvider,
customEndpointConfig,
};
}
module.exports = {
getProviderConfig,
};

View File

@@ -1,7 +1,11 @@
const { ErrorTypes, EModelEndpoint, mapModelToAzureConfig } = require('librechat-data-provider');
const {
ErrorTypes,
EModelEndpoint,
resolveHeaders,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const {
isEnabled,
resolveHeaders,
isUserProvided,
getOpenAIConfig,
getAzureCredentials,
@@ -80,10 +84,7 @@ const initializeClient = async ({
});
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = resolveHeaders(
{ ...headers, ...(clientOptions.headers ?? {}) },
req.user,
);
clientOptions.headers = resolveHeaders({ ...headers, ...(clientOptions.headers ?? {}) });
clientOptions.titleConvo = azureConfig.titleConvo;
clientOptions.titleModel = azureConfig.titleModel;
@@ -138,7 +139,7 @@ const initializeClient = async ({
}
if (optionsOnly) {
const modelOptions = endpointOption?.model_parameters ?? {};
const modelOptions = endpointOption.model_parameters;
modelOptions.model = modelName;
clientOptions = Object.assign({ modelOptions }, clientOptions);
clientOptions.modelOptions.user = req.user.id;

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