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186 Commits

Author SHA1 Message Date
Danny Avila
5ca9da378b chore: add missing SidePanelProvider for AgentMarketplace and organize imports 2025-07-19 18:42:56 -04:00
Danny Avila
04af67951b refactor: remove unused avatar upload mutation field and add informational toast for success 2025-07-19 18:42:55 -04:00
Danny Avila
9f68b03e8c test: Add comprehensive tests for support_contact field handling and versioning 2025-07-19 18:42:55 -04:00
Danny Avila
98de99d9ac refactor: Update support_contact field initialization in agent model
- Removed handling for empty support_contact object in createAgent function.
- Changed default value of support_contact in agent schema to undefined.
2025-07-19 18:42:55 -04:00
Danny Avila
b750f52727 fix: make support_contact field a nested object rather than a sub-document 2025-07-19 18:42:54 -04:00
Danny Avila
39f4e725e5 refactor: Implement file access filtering based on agent permissions
- Introduced `filterFilesByAgentAccess` function to filter files based on user access through agents.
- Updated `getFiles` and `primeFiles` functions to utilize the new filtering logic.
- Moved `hasAccessToFilesViaAgent` function from the File model to permission services, adjusting imports accordingly
- Enhanced tests to ensure proper access control and filtering behavior for files associated with agents.
2025-07-19 18:42:54 -04:00
Danny Avila
33e09c1f52 chore: Update Jest configuration and test setup for improved timeout handling
- Added a global test timeout of 30 seconds in jest.config.js.
- Configured jest.setTimeout in jestSetup.js to allow individual test overrides if needed.
- Enhanced test reliability by ensuring consistent timeout settings across all tests.
2025-07-19 18:42:53 -04:00
Danny Avila
2cf910351a refactor: Enhance test setup and cleanup for file access control
- Introduced modelsToCleanup array to track models added during tests for proper cleanup.
- Updated afterAll hooks in test files to ensure all collections are cleared and only added models are deleted.
- Improved consistency in model initialization across test files.
- Added comments for clarity on cleanup processes and test data management.
2025-07-19 18:42:53 -04:00
Danny Avila
35c66b39c8 refactor: Implement permission checks for file access via agents
- Updated `hasAccessToFilesViaAgent` to utilize permission checks for VIEW and EDIT access.
- Replaced project-based access validation with permission-based checks.
- Enhanced tests to cover new permission logic and ensure proper access control for files associated with agents.
- Cleaned up imports and initialized models in test files for consistency.
2025-07-19 18:42:53 -04:00
Danny Avila
4caac90909 chore: fix tests, remove unnecessary imports 2025-07-19 18:42:52 -04:00
Peter
ec1a8567a4 🔧 fix: Redirect to New Chat if No Marketplace Access and Required Agent Name Placeholder (#8213)
* Fix: Fix the redirect to new chat page if access to marketplace is denied

* Fixed the required agent name placeholder

---------

Co-authored-by: Atef Bellaaj <slalom.bellaaj@external.daimlertruck.com>
2025-07-19 18:42:52 -04:00
Atef Bellaaj
bbafa8e306 refactor: Replace marketplace interface config with permission-based system
- Add MARKETPLACE permission type to handle marketplace access control
  - Update interface configuration to use role-based marketplace settings (admin/user)
  - Replace direct marketplace boolean config with permission-based checks
  - Modify frontend components to use marketplace permissions instead of interface config
  - Update agent query hooks to use marketplace permissions for determining permission levels
  - Add marketplace configuration structure similar to peoplePicker in YAML config
  - Backend now sets MARKETPLACE permissions based on interface configuration
  - When marketplace enabled: users get agents with EDIT permissions in dropdown lists  (builder mode)
  - When marketplace disabled: users get agents with VIEW permissions  in dropdown lists (browse mode)
2025-07-19 18:42:51 -04:00
Atef Bellaaj
73fb4181fe feat: Add role-level permissions for agent sharing people picker
- Add PEOPLE_PICKER permission type with VIEW_USERS and VIEW_GROUPS permissions
  - Create custom middleware for query-aware permission validation
  - Implement permission-based type filtering in PeoplePicker component
  - Hide people picker UI when user lacks permissions, show only public toggle
  - Support granular access: users-only, groups-only, or mixed search modes
2025-07-19 18:42:51 -04:00
Atef Bellaaj
b03341517d 🔧 fix: Fixed agent actions access 2025-07-19 18:42:51 -04:00
Atef Bellaaj
27da0c6d9f 🔧 fix: Merge and Rebase Conflicts
- Move AgentCategory from api/models to @packages/data-schemas structure
  - Add schema, types, methods, and model following codebase conventions
  - Implement auto-seeding of default categories during AppService startup
  - Update marketplace controller to use new data-schemas methods
  - Remove old model file and standalone seed script

refactor: unify agent marketplace to single endpoint with cursor pagination

  - Replace multiple marketplace routes with unified /marketplace endpoint
  - Add query string controls: category, search, limit, cursor, promoted, requiredPermission
  - Implement cursor-based pagination replacing page-based system
  - Integrate ACL permissions for proper access control
  - Fix ObjectId constructor error in Agent model
  - Update React components to use unified useGetMarketplaceAgentsQuery hook
  - Enhance type safety and remove deprecated useDynamicAgentQuery
  - Update tests for new marketplace architecture
  -Known issues:
  see more button after category switching + Unit tests

feat: add icon property to ProcessedAgentCategory interface

- Add useMarketplaceAgentsInfiniteQuery and useGetAgentCategoriesQuery to client/src/data-provider/Agents/
  - Replace manual pagination in AgentGrid with infinite query pattern
  - Update imports to use local data provider instead of librechat-data-provider
  - Add proper permission handling with PERMISSION_BITS.VIEW/EDIT constants
  - Improve agent access control by adding requiredPermission validation in backend
  - Remove manual cursor/state management in favor of infinite query built-ins
  - Maintain existing search and category filtering functionality

refactor: consolidate agent marketplace endpoints into main agents API and improve data management consistency

  - Remove dedicated marketplace controller and routes, merging functionality into main agents v1 API
  - Add countPromotedAgents function to Agent model for promoted agents count
  - Enhance getListAgents handler with marketplace filtering (category, search, promoted status)
  - Move getAgentCategories from marketplace to v1 controller with same functionality
  - Update agent mutations to invalidate marketplace queries and handle multiple permission levels
  - Improve cache management by updating all agent query variants (VIEW/EDIT permissions)
  - Consolidate agent data access patterns for better maintainability and consistency
  - Remove duplicate marketplace route definitions and middleware

selected view only agents injected in the drop down

fix: remove minlength validation for support contact name in agent schema

feat: add validation and error messages for agent name in AgentConfig and AgentPanel

fix: update agent permission check logic in AgentPanel to simplify condition

Fix linting WIP

Fix Unit tests WIP

ESLint fixes

eslint fix

refactor: enhance isDuplicateVersion function in Agent model for improved comparison logic

- Introduced handling for undefined/null values in array and object comparisons.
- Normalized array comparisons to treat undefined/null as empty arrays.
- Added deep comparison for objects and improved handling of primitive values.
- Enhanced projectIds comparison to ensure consistent MongoDB ObjectId handling.

refactor: remove redundant properties from IAgent interface in agent schema

chore: update localization for agent detail component and clean up imports

ci: update access middleware tests

chore: remove unused PermissionTypes import from Role model

ci: update AclEntry model tests

ci: update button accessibility labels in AgentDetail tests

refactor: update exhaustive dep. lint warning
2025-07-19 18:42:50 -04:00
“Praneeth
9e2243e688 🏪 feat: Agent Marketplace
bugfix: Enhance Agent and AgentCategory schemas with new fields for category, support contact, and promotion status

refactored and moved agent category methods and schema to data-schema package
2025-07-19 18:42:50 -04:00
Danny Avila
28d9deed0a 🔐 feat: Granular Role-based Permissions + Entra ID Group Discovery (#7804)
WIP: pre-granular-permissions commit

feat: Add category and support contact fields to Agent schema and UI components

Revert "feat: Add category and support contact fields to Agent schema and UI components"

This reverts commit c43a52b4c9.

Fix: Update import for renderHook in useAgentCategories.spec.tsx

fix: Update icon rendering in AgentCategoryDisplay tests to use empty spans

refactor: Improve category synchronization logic and clean up AgentConfig component

refactor: Remove unused UI flow translations from translation.json

feat: agent marketplace features

🔐 feat: Granular Role-based Permissions + Entra ID Group Discovery (#7804)
2025-07-19 18:42:50 -04:00
Danny Avila
aec1777a90 📦 chore: bump @librechat/agents to v2.4.63 (#8558) 2025-07-19 14:37:22 -04:00
Danny Avila
90c43dd451 🔒 fix: Address multer CVE-2025-7338 (#8557) 2025-07-19 14:23:20 -04:00
Danny Avila
4c754c1190 🏄‍♂️ fix: Handle SSE Stream Edge Case (#8556)
* refactor: Move draft-related utilities to a new `drafts.ts` file

* refactor: auto-save draft logic to use new get/set functions

* fix: Ensure `getDraft` properly decodes stored draft values

* fix: Handle edge case where stream is cancelled before any response, which creates a blank page
2025-07-19 13:44:02 -04:00
Danny Avila
f70e0cf849 🔒 fix: Address on-headers CVE-2025-7339 (#8553)
* 📦 chore: bump `compression` from 1.7.4 to 1.8.1

* chore: bump `express-session` to v1.18.2

* chore: update `connect-redis` from v7.1.0 to v8.1.0

* chore: update import for `connect-redis` to use named export due to v8.0.0 breaking change
2025-07-19 13:36:59 -04:00
Dustin Healy
d0c958ba33 🔥 feat: Add Firecrawl Scraper Configurability (#8495)
- Added firecrawlOptions configuration field to librechat.yaml
- Refactored web.ts to live in packages/api rather than data-provider
- Updated imports from web.ts to reflect new location
- Added firecrawlOptions to FirecrawlConfig interface
- Added firecrawlOptions to authResult of loadWebSearchAuth so it gets properly passed to agents to be built into firecrawl payload
- Added tests for firecrawlOptions to web.spec.ts
2025-07-18 22:37:57 -04:00
Dustin Healy
0761e65086 🔧 fix: Enhance Responses API Auto-Enable Logic for Compatible Endpoints (#8506)
- Updated the logic to auto-enable the Responses API when web search is enabled, specifically for OpenAI, Azure, and Custom endpoints.
- Added import for EModelEndpoint to facilitate endpoint compatibility checks.
2025-07-18 22:27:56 -04:00
Danny Avila
0bf708915b ♻️ refactor: formatContentStrings to support AI and System messages (#8528)
* ♻️ refactor: `formatContentStrings` to support AI and System messages

* 📦 chore: bump @librechat/api version to 1.2.7
2025-07-17 19:19:37 -04:00
Danny Avila
cf59f1ab45 📦 chore: bump librechat-data-provider to v0.7.900 2025-07-17 18:42:34 -04:00
Danny Avila
445e9eae85 🧩 fix: Human Message Content Handling for Legacy Content (#8525)
* wip: first pass content strings

* 📦 chore: update @langchain/core to v0.3.62 for data-provider dev dep.

* 📦 chore: bump @langchain/core to v0.3.62 for api dep.

* 📦 chore: move @langchain/core to peerDependencies in package.json and package-lock.json

* fix: update formatContentStrings to create HumanMessage directly from formatted content

* chore: import order
2025-07-17 18:34:24 -04:00
Danny Avila
cd9c578907 📦 chore: bump @librechat/agents to to v2.4.62 (#8524) 2025-07-17 17:54:25 -04:00
github-actions[bot]
ac94c73f23 🌍 i18n: Update translation.json with latest translations (#8505)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-07-17 11:31:45 -04:00
Danny Avila
dfef7c31d2 ♻️ refactor: SidePanel Context to Optimize on ChatView Rerender (#8509) 2025-07-17 11:31:19 -04:00
Danny Avila
0b1b0af741 ☑️ refactor: Allow Mid-convo Agent Selection from Agent Panel (#8510) 2025-07-17 11:30:50 -04:00
Ben Verhees
0a169a1ff6 👥 fix: Collaborative Check Flag for Shared Agent Files (#8516) 2025-07-17 10:42:57 -04:00
Danny Avila
4b12ea327a 📦 chore: bump @librechat/agents to to v2.4.61 (#8504) 2025-07-16 18:32:31 -04:00
Danny Avila
35d8ef50f4 🪙 fix: Use Fallback Token Transaction if No Collected Usage (#8503) 2025-07-16 17:58:15 -04:00
Danny Avila
1dabe96404 🕒 refactor: Use Legacy Content for Custom Endpoints and Azure Serverless for Improved Compatibility (#8502)
* 🕒 refactor: Use Legacy Content for Custom Endpoints to Improve Compatibility

- Also applies to Azure serverless endpoints from AI Foundry

* chore: move useLegacyContent condition before early return

* fix: Ensure useLegacyContent is set only when options are available
2025-07-16 17:17:15 -04:00
Dustin Healy
7f8c327509 🌊 feat: Add Disable Streaming Toggle (#8177)
* 🌊 feat: Add Disable Streaming Option in Configuration

- Introduced a new setting to disable streaming responses in openAI, Azure, and custom endpoint parameter panels.
- Updated translation files to include labels and descriptions for the disable streaming feature.
- Modified relevant schemas and parameter settings to support the new disable streaming functionality.

* 🔧 fix: disableStreaming state not persisting when returning to a conversation

- Added disableStreaming field to the IPreset interface and conversationPreset.
- Moved toggles and sliders around for nicer left-right UI split in parameters panel.
- Removed old reference to 'grounding' ub conversationPreset (now web_search) and added web_search to IPreset.
2025-07-16 10:09:40 -04:00
Danny Avila
52bbac3a37 feat: Add GitHub Actions workflow for publishing @librechat/client to NPM 2025-07-16 09:19:59 -04:00
Danny Avila
62b4f3b795 🛂 fix: Only Perform allowedProviders Validation for Agents (#8487) 2025-07-15 18:43:47 -04:00
Theo N. Truong
01b012a8fa 🏦 refactor: Centralize Caching & Redis Key Prefixing (#8457)
* 🔧 Overhauled caching feature:
- Refactored caching logic.
- Fixed redis prefix, namespace, tls, ttl, and cluster.
- Added REDIS_KEY_PREFIX_VAR

* # refactor: Rename redisCache to standardCache

* # Add Redis pinging mechanism to maintain connection.

* # docs: Add warning about Keyv Redis client prefix support
2025-07-15 18:24:31 -04:00
Danny Avila
418b5e9070 ♻️ fix: Resolve MCP Connection if Ping is Unsupported (#8483) 2025-07-15 18:20:11 -04:00
Danny Avila
a9f01bb86f 📝 refactor: Memory Instructions for Improved Performance (#8463) 2025-07-14 18:37:46 -04:00
Danny Avila
aeeb860fe0 📦 chore: bump @librechat/agents to v2.4.60 (#8458) 2025-07-14 18:29:48 -04:00
github-actions[bot]
e11e716807 🌍 i18n: Update translation.json with latest translations (#8422)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-07-14 17:22:02 -04:00
Danny Avila
e370a87ebe ♻️ fix: Correct Message ID Assignment Logic (#8439)
* fix: Add `isRegenerate` flag to chat payload to avoid saving temporary response IDs

* fix: Remove unused `isResubmission` flag

* ci: Add tests for responseMessageId regeneration logic in BaseClient
2025-07-14 00:57:20 -04:00
Danny Avila
170cc340d8 refactor: Imports to Prevent Circular Type Refs (#8423) 2025-07-12 11:37:07 -04:00
Danny Avila
f1b29ffb45 🔒 feat: View/Delete Shared Agent Files (#8419)
* 🔧 fix: Add localized message for delete operation not allowed

* refactor: improve file deletion operations ux

* feat: agent-based file access control and enhance file retrieval logic

* feat: implement agent-specific file retrieval

* feat: enhance agent file retrieval logic for authors and shared access

* ci: include userId and agentId in mockGetFiles call for OCR file retrieval
2025-07-12 01:52:46 -04:00
Danny Avila
6aa4bb5a4a 👟 fix: Edge Case of Azure Provider Assignment for Title Run (#8420) 2025-07-12 01:52:17 -04:00
Sebastien Bruel
9f44187351 🗂️ fix: Disable express-static-gzip for Uploaded Images (#8307)
* Fix scanning of the uploaded images folder on startup

* Re-write tests to pass linting

* Disable image output gzip scan by default

* Add `ENABLE_IMAGE_OUTPUT_GZIP_SCAN` to `.env.example`
2025-07-11 16:51:53 -04:00
Samuel Path
d2e1ca4c4a 🖼️ fix: Permission Checks for Agent Avatar Uploads (#8412)
Implements permission validation before allowing agent avatar uploads. Only admins, the agent's author, or users of collaborative agents can modify avatars. Also improves error handling by checking for agent existence upfront and simplifies avatar update logic.

Co-authored-by: Sai Nihas <sai.nihas@shopify.com>
2025-07-11 15:37:11 -04:00
Samuel Path
8e869f2274 🧠 feat: Enforce Token Limit for Memory Usage (#8401) 2025-07-11 14:46:19 -04:00
Danny Avila
2e1874e596 🔧 fix: handleError import path to use '@librechat/api' (#8415)
* 🔧 fix: Update handleError import path to use '@librechat/api' in middleware files

* chore: import order

* chore: import order

---------

Co-authored-by: Atef Bellaaj <slalom.bellaaj@external.daimlertruck.com>
2025-07-11 13:29:51 -04:00
Danny Avila
929b433662 🔧 fix: Plugin Method Undefined in Agent Tool Closure (#8413) 2025-07-11 13:16:59 -04:00
Danny Avila
1e4f1f780c 🔑 feat: Grok 4 Pricing and Token Limits (#8395)
* 🔑 feat: Grok 4 Pricing and Token Limits

* 🔑 feat: Update Grok 3 Pricing for Mini and Fast Models
2025-07-11 03:24:13 -04:00
Danny Avila
4733f10e41 📦 chore: Bump @librechat/agents to v2.4.59 (#8392)
* chore: remove @librechat/agents temporarily

* chore: bump @librechat/agents to v2.4.59
2025-07-11 03:18:36 -04:00
Danny Avila
110984b48f 📦 chore: Bump @librechat/agents to v2.4.58 (#8386) 2025-07-10 20:41:38 -04:00
Danny Avila
19320f2296 🔑 feat: Base64 Google Service Keys and Reliable Private Key Formats (#8385) 2025-07-10 20:33:01 -04:00
Danny Avila
8523074e87 🔧 fix: Invalidate Tool Caching after MCP Initialization (#8384)
- Added Constants import in PluginController for better organization.
- Renamed cachedTools to cachedToolsArray for clarity in PluginController.
- Ensured getCachedTools returns an empty object if no tools are found.
- Cleared tools array cache after MCP initialization in initializeMCP for consistency.
2025-07-10 20:32:38 -04:00
Danny Avila
e4531d682d 🔃 refactor: Conslidate JSON Schema Conversion to Schema 2025-07-10 18:52:24 -04:00
Danny Avila
4bbdc4c402 🧩 fix: additionalProperties Handling and Ref Resolution in Zod Schemas (#8381)
* fix: false flagging object as empty object when it has `additionalProperties` field

* 🔧 fix: Implement $ref resolution in JSON Schema handling

* 🔧 fix: Resolve JSON Schema references before conversion to Zod

* chore: move zod logic packages/api
2025-07-10 18:02:34 -04:00
Danny Avila
8ca4cf3d2f 🔧 fix: Update Drag & Drop Logic with new File Option handling (#8354) 2025-07-10 08:38:55 -04:00
Danny Avila
13a9bcdd48 🔧 fix: Omit 'additionalModelRequestFields' from Bedrock Titling (#8353) 2025-07-10 08:38:30 -04:00
Danny Avila
4b32ec42c6 📝 fix: Resolve Markdown Rendering Issues (#8352)
* 🔧 fix: Handle optional arguments in `useParseArgs` and improve tool call condition

* chore: Remove math plugins from `MarkdownLite`

*  feat: Add Error Boundary to Markdown Component for Enhanced Error Handling

- Introduced `MarkdownErrorBoundary` to catch and display errors during Markdown rendering.
- Updated the `Markdown` component to utilize the new error boundary, improving user experience by handling rendering issues gracefully.

* Revert "chore: Remove math plugins from `MarkdownLite`"

This reverts commit d393099d52.

*  feat: Introduce MarkdownErrorBoundary for improved error handling in Markdown components

* refactor: include most markdown elements in error boundary fallback, aside from problematic plugins
2025-07-10 08:38:14 -04:00
Danny Avila
4918899c8d 🖨️ fix: Use Azure Serverless API Version for Responses API (#8316) 2025-07-08 21:07:52 -04:00
Danny Avila
7e37211458 🗝️ refactor: loadServiceKey to Support Stringified JSON and Env Var Renaming (#8317)
* feat: Enhance loadServiceKey to support stringified JSON input

* chore: Update GOOGLE_SERVICE_KEY_FILE_PATH to GOOGLE_SERVICE_KEY_FILE for consistency
2025-07-08 21:07:33 -04:00
Theo N. Truong
e57fc83d40 🔧 fix: Import Path for Custom Configuration Loading (#8319) 2025-07-08 21:07:04 -04:00
Danny Avila
550610dba9 ⚖️ feat: Add Violation Scores (#8304)
- Introduced new violation scores for TTS, STT, Fork, Import, and File Upload actions in the .env.example file.
- Updated logViolation function to accept a score parameter, allowing for dynamic severity levels based on the action type.
- Modified limiters for Fork, Import, Message, STT, TTS, Tool Call, and File Upload to utilize the new violation scores when logging violations.
2025-07-07 17:08:40 -04:00
github-actions[bot]
916cd46221 🌍 i18n: Update translation.json with latest translations (#8288)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-07-07 17:08:15 -04:00
Dustin Healy
12b08183ff 🐛 fix: Memories Key Updates (#8302)
* Updated the PATCH /memories/:key endpoint to allow key changes while ensuring no duplicate keys exist.
* Improved error handling in MemoryCreateDialog and MemoryEditDialog for key validation and duplication scenarios.
* Added a new translation for memory key validation error in translation.json.
2025-07-07 16:38:55 -04:00
Danny Avila
f4d97e1672 📝 docs: Update README 2025-07-07 01:14:07 -04:00
Danny Avila
035fa081c1 🔧 refactor: Prevent Unnecessary Google Service Key Loading (#8287)
* 🔧 refactor: Improve Google Key Handling in `loadAsyncEndpoints`

- Enhanced logic to check if GOOGLE_KEY is provided, including user-provided checks.
- Updated service key loading mechanism to only attempt loading if GOOGLE_KEY is not provided.
- Added error logging for service key loading failures.

* 🔧 refactor: Enhance service key loading logic in `initializeClient`
2025-07-07 01:10:08 -04:00
Danny Avila
aecf8f19a6 🔧 fix: Initialize reasoningKey to 'reasoning_content' (#8286)
* chore: bump @librechat/agents to v2.4.56

* chore: bump @librechat/api version to 1.2.6

* fix: initialize reasoningKey to 'reasoning_content' in createRun function
2025-07-07 01:05:40 -04:00
Dustin Healy
35f548a94d 🔄 refactor: Google grounding field to web_search for Consistency (#8285)
- Updated the Google configuration and related schemas to replace 'grounding' with 'web_search' for consistency.
- Adjusted the logic in the getGoogleConfig function to reflect the new naming convention.
- Ensured all references in parameter settings and conversation schemas are updated accordingly.
2025-07-07 00:41:51 -04:00
Danny Avila
e60c0cf201 🔍 feat: Anthropic Web Search (#8281)
* chore: bump @librechat/agents to ^2.4.54 for anthropic web search support

* WIP: hardcoded web search tool usage

* feat: Implement web search functionality in Anthropic integration

- Updated parameters panel to include web search for anthropic models.
- Updated necessary schemas to accomodate toggle functionality

* chore: Set default web search option to false in anthropicSettings

* refactor: Rename webSearch to web_search for consistency across settings and schemas

* chore: bump @librechat/agents to v2.4.55

---------

Co-authored-by: Dustin Healy <dustinhealy1@gmail.com>
2025-07-06 21:43:09 -04:00
github-actions[bot]
5b392f9cb0 🌍 i18n: Update translation.json with latest translations (#8255)
* 🌍 i18n: Update translation.json with latest translations

* Update translation.json

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Danny Avila <danny@librechat.ai>
2025-07-05 18:04:57 -04:00
Dustin Healy
e0f468da20 🔍 feat: Add SearXNG for Web Search and Enhance ApiKeyDialog (#8242)
* 🔍 feat: Add SearXNG Web Search support and enhance ApiKeyDialog

- Updated WebSearch component to include authentication data for web search functionality so it won't show badge after being revoked
- Refactored ApiKeyDialog to streamline provider, scraper, and reranker selection with new InputSection component
- Added support for SearXNG as a search provider and updated translation files accordingly
- Improved form handling in useAuthSearchTool to accommodate new API keys and URLs

* 📜 chore: remove unused i18next key

* 📦 chore: address comments (swap API key and URL fields in SearXNG config, change input fields to 'text' from 'password'

* 📦 chore: make URL fields go first in ApiKeyDialog

* chore: bump @librechat/agents to v2.4.52

* ci: update webSearch configuration to include searxng fields in AppService.spec.js

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2025-07-05 17:58:22 -04:00
Danny Avila
91a2df4759 🔧 refactor: Change Permissions Check from some to every for Stricter Access Validation (#8270)
* 🔧 refactor: Change Permissions Check from `some` to `every` for Stricter Access Validation

* 🧪 ci: Add comprehensive tests for access middleware functions

* fix: custom provider check logic in `getProviderConfig` function
2025-07-05 15:53:08 -04:00
Danny Avila
97a99985fa 🛡️ feat: Rate Limiting for Conversation Forking (#8269)
* chore: Improve error logging for fetching conversations, and use new TS packages for utils

* feat: Implement fork limiters for conversation forking requests

* chore: error message for conversation index deletion to clarify syncing behavior

* feat: Enhance error handling for forking with rate limit message
2025-07-05 15:02:32 -04:00
Danny Avila
3554625a06 refactor: Add Robust Timestamp handling for Conversation Imports (#8262) 2025-07-05 12:44:19 -04:00
Danny Avila
a37bf6719c 🧪 refactor: Add Validation for Agent Creation/Updates (#8261)
* refactor: Add validation schemas for agent creation and updates

* fix: Ensure author validation is applied in correct order for agent update handler

* ci: Add comprehensive unit tests for agent creation and update handlers with mass assignment protection

* fix: add missing  web_search tool in system tools configuration
2025-07-05 11:34:28 -04:00
Danny Avila
e513f50c08 ⚒️ refactor: Keep useAvailableToolsQuery Enabled for All Endpoints 2025-07-04 15:43:17 -04:00
Danny Avila
f5511e4a4e 🔁 refactor: Capabilities for Tools/File handling for Direct Endpoints (#8253)
* feat: add useAgentCapabilities hook to manage agent capabilities

* refactor: move  agents and endpoints configuration to AgentPanel context provider

* refactor: implement useGetAgentsConfig hook for consolidated agents and endpoints management

* refactor: enhance ToolsDropdown to utilize agent capabilities and streamline dropdown item rendering

* chore: reorder return values in useAgentCapabilities for improved clarity

* refactor: enhance agent capabilities handling in AttachFileMenu and update file handling logic to allow capabilities to be used for non-agents endpoints
2025-07-04 14:51:26 -04:00
Danny Avila
a288ad1d9c 🪄 feat: Artifacts Badge & Optimize Ephemeral Agent State (#8252)
* 🔧 fix: Update type annotations in useEventHandlers for better type safety

* 🔧 refactor: `useToolToggle` for improved localStorage synchronization and allow string/falsy values for setting to storage

*  feat: Implement Artifacts badge to BadgeRow with toggle options and UI components

- Added Artifacts component to manage artifacts state and options.
- Introduced ArtifactsSubMenu for additional settings related to artifacts.
- Integrated artifacts functionality into BadgeRow and ToolsDropdown components.
- Updated localStorage handling for artifacts state persistence.
- Enhanced localization for artifacts-related strings in translation files.
- Refactored Agent model to include artifacts in the ephemeral agent response.

* fix: set ephemeral agent state for conversation on finalization

* chore: remove beta settings dialog tab

* refactor: improve Ephemeral Agent statefulness

* fix: update setValue parameter to use 'value' instead of 'isChecked' in CheckboxButton

* refactor: update color classes for Artifact toggle and order of dropdown components

* chore: remove unused i18n localization
2025-07-04 13:25:04 -04:00
Sebastien Bruel
458580ec87 🥅 refactor: Express App default Error Handling with ErrorController (#8249) 2025-07-04 13:24:57 -04:00
github-actions[bot]
4285d5841c 🌍 i18n: Update translation.json with latest translations (#8235)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-07-04 11:48:54 -04:00
Sebastien Bruel
5ee55cda4f 📦 chore: bump @modelcontextprotocol/sdk to 1.13.3 and cleanup mcp/connection.ts (#8241) 2025-07-04 09:28:57 -04:00
Danny Avila
404d40cbef 📦 chore: override @langchain/openai to v0.5.16 2025-07-03 23:16:42 -04:00
Danny Avila
f4680b016c 📦 chore: bump @librechat/agents to v2.4.51 (#8234) 2025-07-03 22:35:13 -04:00
Ruben Talstra
077224b351 feat: Add support for Armenian, Latvian, and Uyghur languages (#8227) 2025-07-03 11:16:33 -04:00
Danny Avila
9c70d1db96 🔧 fix: Include apiKey in llmConfig for Azure OpenAI Responses API 2025-07-02 13:12:05 -04:00
Danny Avila
543281da6c 🔧 fix: Tool Selection for Google Models 2025-07-02 13:01:51 -04:00
Danny Avila
24800bfbeb v0.7.9-rc1 2025-07-02 10:27:34 -04:00
Danny Avila
07e08143e4 🧠 fix: Prevent Memory Errors with Buffer String (#8196) 2025-07-02 10:25:19 -04:00
Dustin Healy
8ba61a86f4 🔍 feat: Web Search via OpenAI Responses API (#8186)
* 🔍 feat: Introduce Web Search Functionality for OpenAI API

- Added a new web_search parameter to enable web search capabilities in the OpenAI configuration.
- Updated the DynamicSlider component for improved styling.
- Enhanced the useSetIndexOptions hook to auto-enable the Responses API when web search is activated.
- Modified relevant schemas, types, and translation files to support the new web search feature.

* chore: remove comments

* refactor: tool handling in initializeAgent for better clarity and functionality and reflection of openai features

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2025-07-02 10:03:14 -04:00
Danny Avila
56ad92fb1c 🤖 feat: Azure OpenAI Responses API (#8195)
* 🤖 feat: Azure OpenAI Responses API

* chore: cleanup order of executions
2025-07-02 09:39:19 -04:00
github-actions[bot]
1ceb52d2b5 🌍 i18n: Update translation.json with latest translations (#8164)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-07-02 01:17:53 -04:00
Danny Avila
5d267aa8e2 🔀 fix: Assistants API File Attachments 2025-07-01 22:38:10 -04:00
Danny Avila
59d00e99f3 🔍 feat: Fetch Google Service Key and Consolidate Key Loading Logic (#8179) 2025-07-01 22:37:29 -04:00
Dustin Healy
738d04fac4 🔍 feat: Add Google Search Grounding Toggle (#8174)
*  feat: Add Google Search Grounding Feature and Update Agent Tool Initialization

- Introduced a new grounding option in the Google configuration to enable real-time web search results.
- Updated the agent initialization to concatenate additional tools from options.
- Enhanced translation files to include descriptions for the new grounding feature.
- Modified relevant schemas and parameter settings to support the grounding functionality.

* 🔑 chore: Update @librechat/agents dependency to version 2.4.50

*  fix: Ensure tools array is initialized before concatenation in initializeAgent function

* chore: Update version of librechat-data-provider to 0.7.899 and add GOOGLE_TOOL_CONFLICT error type

* fix: Adjust label class for better text wrapping in DynamicSwitch component

* fix: Handle Google tool conflict error and update error messages in translation

* fix: Restore grounding setting in googleCol2 configuration

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2025-07-01 18:00:18 -04:00
Dani Regli
8a5dbac0f9 🛂 fix: Reuse OpenID Auth Tokens with Proxy Setup (#8151)
* Fixes https://github.com/danny-avila/LibreChat/issues/8099 in correctly setting up proxy support

- fixes the openid Strategy
- fixes the openid jwt strategy (jwksRsa fetching in a proxy environment)

Signed-off-by: Regli Daniel <daniel.regli1@sanitas.com>

* Fixes https://github.com/danny-avila/LibreChat/issues/8099 in correctly setting up proxy support

- properly formatted

Signed-off-by: Regli Daniel <1daniregli@gmail.com>

---------

Signed-off-by: Regli Daniel <daniel.regli1@sanitas.com>
Signed-off-by: Regli Daniel <1daniregli@gmail.com>
Co-authored-by: schnaker85 <1daniregligmail.com>
2025-07-01 16:30:06 -04:00
Danny Avila
434289fe92 🔀 feat: Save & Submit Message Content Parts (#8171)
* 🐛 fix: Enhance provider validation and error handling in getProviderConfig function

* WIP: edit text part

* refactor: Allow updating of both TEXT and THINK content types in message updates

* WIP: first pass, save & submit

* chore: remove legacy generation user message field

* feat: merge edited content

* fix: update placeholder and description for bedrock setting

* fix: remove unsupported warning message for AI resubmission
2025-07-01 15:43:10 -04:00
Samuel Path
a648ad3d13 fix: Agent MCP Tools Checkbox Inactive When Hidden (#8166) 2025-07-01 10:05:00 -04:00
Samuel Path
55d63caaf4 💻 ci: Make Unit Tests Pass on MacOS (#8165) 2025-07-01 09:20:33 -04:00
Danny Avila
313539d1ed 🔑 refactor: Prioritize GOOGLE_KEY When GCP Service Key File Provided (#8150) 2025-06-30 18:51:50 -04:00
Danny Avila
f869d772f7 🪐 feat: Initial OpenAI Responses API Support (#8149)
* chore: update @librechat/agents to v2.4.47

* WIP: temporary auto-toggle responses api for o1/o3-pro

* feat: Enable Responses API for OpenAI models

- Updated the OpenAI client initialization to check for the useResponsesApi parameter in model options.
- Added translations for enabling the Responses API in the UI.
- Introduced useResponsesApi parameter in data provider settings and schemas.
- Updated relevant schemas to include useResponsesApi for conversation and preset configurations.

* refactor: Remove useResponsesApi check from OpenAI client initialization and update translation for Responses API

- Removed the check for useResponsesApi in the OpenAI client initialization.
- Updated the translation for enabling the Responses API to clarify its functionality.

* chore: update @librechat/agents dependency to version 2.4.48

* chore: update @librechat/agents dependency to version 2.4.49

* chore: linting

* chore: linting

* feat: Enhance DynamicSlider and validation for enumMappings

- Added support for enumMappings in DynamicSlider to display values correctly based on enum settings.
- Implemented validation for enumMappings in the generate function to ensure all options have corresponding mappings.
- Added tests for handling empty string options and incomplete enumMappings in the generate.spec.ts file.

* feat: Enhance DynamicSlider localization support

- Added localization handling for mapped values in DynamicSlider when using enumMappings.
- Updated the logic to check if the mapped value is a localization key and return the localized string if applicable.
- Adjusted dependencies in useCallback hooks to include localize for proper functionality.

* feat: Add reasoning summary and effort options to OpenAI configuration and UI

* feat: Add enumMappings for ImageDetail options in parameter settings

* style: Improve styling for DynamicSlider component labels and inputs

* chore: Update reasoning effort description and parameter order for OpenAI params

---------

Co-authored-by: Dustin Healy <dustinhealy1@gmail.com>
2025-06-30 18:34:47 -04:00
Danny Avila
20100e120b 🔑 feat: Set Google Service Key File Path (#8130) 2025-06-29 17:09:37 -04:00
Danny Avila
3f3cfefc52 🗒️ feat: Add Google Vertex AI Mistral OCR Strategy (#8125)
* Implemented new uploadGoogleVertexMistralOCR function for processing OCR using Google Vertex AI.
* Added vertexMistralOCRStrategy to handle file uploads.
* Updated FileSources and OCRStrategy enums to include vertexai_mistral_ocr.
* Introduced helper functions for JWT creation and Google service account configuration loading.
2025-06-28 13:26:03 -04:00
matt burnett
3e1591d404 🤖 fix: Remove versions and __v when Duplicating an Agent (#8115)
Revert "Add tests for agent duplication controller"

This reverts commit 3e7beb1cc336bcfe1c57411e9c151f5e6aa927e4.
2025-06-28 12:35:41 -04:00
Danny Avila
1060ae8040 🐛 fix: Assistants Endpoint Handling in createPayload Function (#8123)
* 📦 chore: bump librechat-data-provider version to 0.7.89

* 🐛 fix: Assistants endpoint handling in createPayload function
2025-06-28 12:33:43 -04:00
Danny Avila
dd67e463e4 📦 chore: bump pbkdf2 to v3.1.3 (#8091) 2025-06-26 19:19:04 -04:00
github-actions[bot]
d60ad61325 🌍 i18n: Update translation.json with latest translations (#8058)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-06-26 19:12:46 -04:00
Danny Avila
452151e408 🐛 fix: RAG API failing with OPENID_REUSE_TOKENS Enabled (#8090)
* feat: Implement Short-Lived JWT Token Generation for RAG API

* fix: Update import paths

* fix: Correct environment variable names for OpenID on behalf flow

* fix: Remove unnecessary spaces in OpenID on behalf flow userinfo scope

---------

Co-authored-by: Atef Bellaaj <slalom.bellaaj@external.daimlertruck.com>
2025-06-26 19:10:21 -04:00
Danny Avila
33b4a97b42 🔒 fix: Agents Config/Permission Checks after Streamline Change (#8089)
* refactor: access control logic to TypeScript

* chore: Change EndpointURLs to a constant object for improved type safety

* 🐛 fix: Enhance agent access control by adding skipAgentCheck functionality

* 🐛 fix: Add endpointFileConfig prop to AttachFileMenu and update file handling logic

* 🐛 fix: Update tool handling logic to support optional groupedTools and improve null checks, add dedicated tool dialog for Assistants

* chore: Export Accordion component from UI index for improved modularity

* feat: Add ActivePanelContext for managing active panel state across components

* chore: Replace string IDs with EModelEndpoint constants for assistants and agents in useSideNavLinks

* fix: Integrate access checks for agent creation and deletion routes in actions.js
2025-06-26 18:53:05 -04:00
Sebastien Bruel
9cdc62b655 📂 fix: Prevent Null Reference Errors in File Process (#8084) 2025-06-26 18:51:35 -04:00
Danny Avila
799f0e5810 🐛 fix: Move MemoryEntry and PluginAuth model retrieval inside methods for Runtime Usage 2025-06-25 20:58:34 -04:00
Danny Avila
cbda3cb529 🕐 feat: Configurable Retention Period for Temporary Chats (#8056)
* feat: Add configurable retention period for temporary chats

* Addressing eslint errors

* Fix: failing test due to missing registration

* Update: variable name and use hours instead of days for chat retention

* Addressing comments

* chore: fix import order in Conversation.js

* chore: import order in Message.js

* chore: fix import order in config.ts

* chore: move common methods to packages/api to reduce potential for circular dependencies

* refactor: update temp chat retention config type to Partial<TCustomConfig>

* refactor: remove unused config variable from AppService and update loadCustomConfig tests with logger mock

* refactor: handle model undefined edge case by moving Session model initialization inside methods

---------

Co-authored-by: Rakshit Tiwari <rak1729e@gmail.com>
2025-06-25 17:16:26 -04:00
Karol Potocki
3ab1bd65e5 🐛 fix: Support Bedrock Provider for MCP Image Content Rendering (#8047) 2025-06-25 15:38:24 -04:00
Marlon
c551ba21f5 📜 chore: Update .env.example (#8043)
Update recent Gemini model names and remove deprecated Gemini models from env.example
2025-06-25 15:31:24 -04:00
Danny Avila
c87422a1e0 🧠 feat: Thinking Budget, Include Thoughts, and Dynamic Thinking for Gemini 2.5 (#8055)
* feat: support thinking budget parameter for Gemini 2.5 series (#6949, #7542)

https://ai.google.dev/gemini-api/docs/thinking#set-budget

* refactor: update thinking budget minimum value to -1 for dynamic thinking

- see: https://ai.google.dev/gemini-api/docs/thinking#set-budget

* chore: bump @librechat/agents to v2.4.43

* refactor: rename LLMConfigOptions to OpenAIConfigOptions for clarity and consistency

- Updated type definitions and references in initialize.ts, llm.ts, and openai.ts to reflect the new naming convention.
- Ensured that the OpenAI configuration options are consistently used across the relevant files.

* refactor: port Google LLM methods to TypeScript Package

* chore: update @librechat/agents version to 2.4.43 in package-lock.json and package.json

* refactor: update thinking budget description for clarity and adjust placeholder in parameter settings

* refactor: enhance googleSettings default value for thinking budget to support dynamic adjustment

* chore: update @librechat/agents to v2.4.44 for Vertex Dynamic Thinking workaround

* refactor: rename google config function, update `createRun` types, use `reasoning` as `reasoningKey` for Google

* refactor: simplify placeholder handling in DynamicInput component

* refactor: enhance thinking budget description for clarity and allow automatic decision by setting to "-1"

* refactor: update text styling in OptionHover component for improved readability

* chore: update @librechat/agents dependency to v2.4.46 in package.json and package-lock.json

* chore: update @librechat/api version to 1.2.5 in package.json and package-lock.json

* refactor: enhance `clientOptions` handling by filtering `omitTitleOptions`, add `json` field for Google models

---------

Co-authored-by: ciffelia <15273128+ciffelia@users.noreply.github.com>
2025-06-25 15:14:33 -04:00
Dustin Healy
b169306096 🧪 ci: Add Tests for Custom Endpoint Header Resolution (#8045)
* Enhanced existing tests for the `resolveHeaders` function to cover all user field placeholders and messy scenarios.
* Added basic integration tests for custom endpoints initialization file
2025-06-24 21:11:06 -04:00
Rakshit Tiwari
42977ac0d0 🖼️ feat: Add Optional Client-Side Image Resizing to Prevent Upload Errors (#7909)
* feat: Add optional client-side image resizing to prevent upload errors

* Addressing comments from author

* Addressing eslint errors

* Fixing the naming to clientresize from clientsideresize
2025-06-24 10:43:29 -04:00
Dustin Healy
d9a0fe03ed 🔧 fix: User Placeholders in Headers for Custom Endpoints (#8030)
* hotfix(custom-endpoints): fix user placeholder resolution in headers

* fix: import

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2025-06-24 08:21:14 -04:00
Danny Avila
d39b99971f 🧠 fix: Agent Title Config & Resource Handling (#8028)
* 🔧 fix: enhance client options handling in AgentClient and set default recursion limit

- Updated the recursion limit to default to 25 if not specified in agentsEConfig.
- Enhanced client options in AgentClient to include model parameters such as apiKey and anthropicApiUrl from agentModelParams.
- Updated requestOptions in the anthropic endpoint to use reverseProxyUrl as anthropicApiUrl.

* Enhance LLM configuration tests with edge case handling

* chore add return type annotation for getCustomEndpointConfig function

* fix: update modelOptions handling to use optional chaining and default to empty object in multiple endpoint initializations

* chore: update @librechat/agents to version 2.4.42

* refactor: streamline agent endpoint configuration and enhance client options handling for title generations

- Introduced a new `getProviderConfig` function to centralize provider configuration logic.
- Updated `AgentClient` to utilize the new provider configuration, improving clarity and maintainability.
- Removed redundant code related to endpoint initialization and model parameter handling.
- Enhanced error logging for missing endpoint configurations.

* fix: add abort handling for image generation and editing in OpenAIImageTools

* ci: enhance getLLMConfig tests to verify fetchOptions and dispatcher properties

* fix: use optional chaining for endpointOption properties in getOptions

* fix: increase title generation timeout from 25s to 45s, pass `endpointOption` to `getOptions`

* fix: update file filtering logic in getToolFilesByIds to ensure text field is properly checked

* fix: add error handling for empty OCR results in uploadMistralOCR and uploadAzureMistralOCR

* fix: enhance error handling in file upload to include 'No OCR result' message

* chore: update error messages in uploadMistralOCR and uploadAzureMistralOCR

* fix: enhance filtering logic in getToolFilesByIds to include context checks for OCR resources to only include files directly attached to agent

---------

Co-authored-by: Matt Burnett <matt.burnett@shopify.com>
2025-06-23 19:44:24 -04:00
Marco Beretta
1b7e044bf5 🤩 style: DialogImage, Update Stylesheet, and Improve Accessibility (#8014)
* 🔧 fix: Adjust typography and border styles for improved readability in markdown components

* 🔧 fix: Enhance code block styling in markdown for better visibility and consistency

* 🔧 fix: Adjust margins and line heights for improved readability in markdown elements

* 🔧 fix: Adjust spacing for horizontal rules in markdown for improved consistency

* 🔧 fix: Refactor DialogImage component for improved quality styling and layout consistency

* 🔧 fix: Enhance zoom and pan functionality in DialogImage component with improved controls and user experience

* 🔧 fix: Improve zoom and pan functionality in DialogImage component with enhanced controls and reset zoom feature
2025-06-23 14:30:15 -04:00
Danny Avila
5c947be455 fix: Minor Menu Issues (#8026)
* fix: Enable portal support in ExportAndShareMenu component

* fix: MCPSubMenu with focus loop and improved button click handling

* chore: remove "tools" header in toolsdropdown
2025-06-23 14:29:21 -04:00
Dustin Healy
2b2f7fe289 feat: Configurable MCP Dropdown Placeholder (#7988)
* new env  variable for mcp label

* 🔄 refactor: Update MCPSelect placeholderText to draw from interface section of librechat.yaml rather than .env

* 🧹 chore: extract mcpServers schema for better maintainability

* 🔄 refactor: Update MCPSelect and useMCPSelect to utilize TPlugin type for better type consistency

* 🔄 refactor: Pass placeholder from startupConfig to MCPSubMenu for improved localization

* 🔄 refactor: Integrate startupConfig into BadgeRowContext and related components for enhanced configuration management

---------

Co-authored-by: mwbrandao <mariana.brandao@nos.pt>
Co-authored-by: Danny Avila <danny@librechat.ai>
2025-06-23 13:21:01 -04:00
Danny Avila
a058963a9f 👤 feat: User Placeholder Variables for Custom Endpoint Headers (#7993)
* 🔧 refactor: move `processMCPEnv` from `librechat-data-provider` and move to `@librechat/api`

* 🔧 refactor: Update resolveHeaders import paths

* 🔧 refactor: Enhance resolveHeaders to support user and custom variables

- Updated resolveHeaders function to accept user and custom user variables for placeholder replacement.
- Modified header resolution in multiple client and controller files to utilize the enhanced resolveHeaders functionality.
- Added comprehensive tests for resolveHeaders to ensure correct processing of user and custom variables.

* 🔧 fix: Update user ID placeholder processing in env.ts

* 🔧 fix: Remove arguments passing this.user rather than req.user

- Updated multiple client and controller files to call resolveHeaders without the user parameter

* 🔧 refactor: Enhance processUserPlaceholders to be more readable / less nested

* 🔧 refactor: Update processUserPlaceholders to pass all tests in mpc.spec.ts and env.spec.ts

* chore: remove legacy ChatGPTClient

* chore: remove LLM initialization code

* chore: initial deprecation removal of `gptPlugins`

* chore: remove cohere-ai dependency from package.json and package-lock.json

* chore: update brace-expansion to version 2.0.2 and add license information

* chore: remove PluginsClient test file

* chore: remove legacy

* ci: remove deprecated sendMessage/getCompletion/chatCompletion tests

---------

Co-authored-by: Dustin Healy <54083382+dustinhealy@users.noreply.github.com>
2025-06-23 12:39:27 -04:00
Danny Avila
01e9b196bc 🤖 feat: Streamline Endpoints to Agent Framework (#8013)
* refactor(buildEndpointOption): Improve error logging in middleware, consolidate `isAgents` builder logic, remove adding `modelsConfig` to `endpointOption`

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

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

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

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

* chore: remove unused abortRequest hook

* chore: remove unused addToCache module and its dependencies

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

* chore: remove unused bedrock route and its related imports

* refactor: simplify response sender logic for Google endpoint

* chore: add `modelDisplayLabel` handling for agents endpoint

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

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

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

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

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

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

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

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

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

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

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

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

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

This reverts commit 69b6997396.

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

* chore: move MCPIcon to correct location, remove duplicate

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

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

* fix: cycling to submenu by using parent menu context

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

* chore: import order

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

* chore: linting for `createContextHandlers`

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

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

* chore: update file search behavior to simulate legacy functionality

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

* refactor: simplify web search and code interpreter settings checks

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

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

* ci: increase timeout for MongoDB connection in Agent tests
2025-06-23 09:59:05 -04:00
Rakshit Tiwari
d835f48307 🗃️ feat: Support .h Files (#7978) 2025-06-21 10:50:30 -04:00
Danny Avila
0587a1cc7c 🔃 refactor: Index Sync in Background 2025-06-20 20:44:13 -04:00
Danny Avila
72cd159a37 🔃 refactor: Optimize MeiliSearch Sync Processing and Tracking (#7994) 2025-06-20 18:05:19 -04:00
Danny Avila
fa54c9ae90 📦 chore: Bump Agents Packages (#7992)
* chore: update peer dependency for @librechat/agents to version 2.4.41

* 🔧 chore: proxy handling in OpenAI endpoint to use undici

* 🔧 chore: update @anthropic-ai/sdk to version 0.52.0 and refactor proxy handling to use undici

* 🔧 chore: update globIgnores in vite.config.ts to exclude index.html from caching

* 🔧 ci: update proxy handling in getLLMConfig to use fetchOptions and ProxyAgent

* 🔧 chore: refactor proxy handling in Anthropic and OpenAI clients to use fetchOptions

* refactor: agent initialization to streamline model parameters and resendFiles handling

* chore: update @google/generative-ai to version 0.24.0
2025-06-20 15:49:24 -04:00
Danny Avila
97085073d2 🔧 fix: Potential Null Values for Custom Config 2025-06-19 22:54:49 -04:00
github-actions[bot]
299c484c7a 🌍 i18n: Update translation.json with latest translations (#7893)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-06-19 20:45:05 -04:00
Danny Avila
d53cd1f391 🔧 fix: Immutability Issue in useChatFunctions (#7983)
* fix: Use mutable version of conversation in useChatFunctions

* fix: Use cloneDeep for conversation in useChatFunctions to ensure immutability

---------

Co-authored-by: lucioperca <lucioperca@users.noreply.github.com>
2025-06-19 19:21:38 -04:00
Danny Avila
a5e8d009a1 🔧 fix: Logger Paths and Exclude index.html from Service Worker Caching (#7982) 2025-06-19 19:00:45 -04:00
Danny Avila
3e4b01de82 🗝️ feat: User Provided Credentials for MCP Servers (#7980)
* 🗝️ feat: Per-User Credentials for MCP Servers

chore: add aider to gitignore

feat: fill custom variables to MCP server

feat: replace placeholders with custom user MCP variables

feat: handle MCP install/uninstall (uses pluginauths)

feat: add MCP custom variables dialog to MCPSelect

feat: add MCP custom variables dialog to the side panel

feat: do not require to fill MCP credentials for in tools dialog

feat: add translations keys (en+cs) for custom MCP variables

fix: handle LIBRECHAT_USER_ID correctly during MCP var replacement

style: remove unused MCP translation keys

style: fix eslint for MCP custom vars

chore: move aider gitignore to AI section

* feat: Add Plugin Authentication Methods to data-schemas

* refactor: Replace PluginAuth model methods with new utility functions for improved code organization and maintainability

* refactor: Move IPluginAuth interface to types directory for better organization and update pluginAuth schema to use the new import

* refactor: Remove unused getUsersPluginsAuthValuesMap function and streamline PluginService.js; add new getPluginAuthMap function for improved plugin authentication handling

* chore: fix typing for optional tools property with GenericTool[] type

* chore: update librechat-data-provider version to 0.7.88

* refactor: optimize getUserMCPAuthMap function by reducing variable usage and improving server key collection logic

* refactor: streamline MCP tool creation by removing customUserVars parameter and enhancing user-specific authentication handling to avoid closure encapsulation

* refactor: extract processSingleValue function to streamline MCP environment variable processing and enhance readability

* refactor: enhance MCP tool processing logic by simplifying conditions and improving authentication handling for custom user variables

* ci: fix action tests

* chore: fix imports, remove comments

* chore: remove non-english translations

* fix: remove newline at end of translation.json file

---------

Co-authored-by: Aleš Kůtek <kutekales@gmail.com>
2025-06-19 18:27:55 -04:00
Dustin Healy
8b15bb2ed6 feat: Enhance Agent Panel with Tool Grouping (#7951)
*  feat: Enhance Agent Panel with Tool Grouping

* 🧰 feat: Added support for grouping tools in the Agent Panel, allowing for better organization and management of related tools.
* 💡 feat: Added hovercards for tools belonging to a group which display their tool descriptions when their help icon is hovered over.
* 🧹 chore: Updated the AgentPanelContext to include grouped tools and their metadata.
* 🔨 refactor: Refactored AgentConfig and AgentTool components to utilize the new tool structure and enhance rendering logic.
* 🔍 feat: Improved the ToolSelectDialog to filter and display tools based on user input, including searching for tools within a group, and limits viewport height to prevent overflowing vertically on smaller screens.

This update enhances the overall functionality and usability of the Agent Panel, making it easier for users to interact with tools.

* Potential fix for code scanning alert no. 6217: Disallow unused variables

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>

* fix: Agent tool type mismatches

* fix: accessibility issues and mcp tool overflow issue

* fix: enhance keyboard accessibility and prevent event propagation in AgentTool

* chore: WIP types

* chore: address comments and fix accordian collapse bug

---------

Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
Co-authored-by: Danny Avila <danny@librechat.ai>
2025-06-19 10:01:50 -04:00
Danny Avila
c7e4523d7c 🎯 refactor: LaTeX and Math Rendering (#7952)
* refactor: Markdown LaTeX processing

- Added micromark-extension-llm-math as a dependency in package.json and package-lock.json.
- Updated Vite configuration to alias micromark-extension-math.
- Modified Markdown components to use singleDollarTextMath: false for improved LaTeX rendering.
- Refactored latex utility functions to enhance LaTeX processing and escaping mechanisms.

* chore: linting of `EditTextPart`

* fix: handle key up to initiate edit of latest user message by adding id prop to Edit Message HoverButton

* chore: linting in Artifact component

* refactor: enhance LaTeX preprocessing functionality

- Updated `preprocessLaTeX` to improve handling of currency and LaTeX expressions.
- Introduced optimized regex patterns for better performance.
- Added support for escaping mhchem commands and handling code blocks.
- Enhanced tests for various LaTeX scenarios, including currency and special characters.
- Refactored existing tests to align with new preprocessing logic.

* chore: filter out false positives in unused packages workflow

- Added a grep command to exclude the micromark-extension-llm-math package from the list of unused dependencies in the GitHub Actions workflow.
2025-06-18 00:58:51 -04:00
Robin Anderson
dba0ec4320 🔧 chore: update pricing for OpenAI o3 (#7948)
`o3` is now 80% cheaper, at $2/Mt input and $8/Mt output.
https://openai.com/api/pricing/
2025-06-17 21:27:31 -04:00
Rakshit Tiwari
3c9357580e 🖼️ feat: Add support for HEIC image format (#7914)
* feat: Add HEIC image format support with client-side conversion - Add HEIC/HEIF mime types to supported image formats - Install heic-to library for client-side HEIC to JPEG conversion - Create heicConverter utility with detection and conversion functions - Integrate HEIC processing into file upload flow - Add error handling and localization for HEIC conversion failures - Maintain backward compatibility with existing image formats - Resolves #5570

* feat: Add UI feedback during HEIC conversion - Show file thumbnail

* Addressing eslint errors

* Addressing the vite bundler issue
2025-06-17 21:12:15 -04:00
Danny Avila
10c0d7d474 ⬇️ fix: Image Download Browser Compatibility (#7950)
* fix: Add null check for SelectedTTS in MessageAudio component to prevent rendering issues

* fix: image download browser compatibility with error handling and fallback mechanism

- Updated the downloadImage function to use fetch for improved reliability and added error handling.
- Implemented a fallback to the original download method in case of fetch failure.
- Ensured the download link uses a blob URL for better compatibility with various image types.
2025-06-17 21:11:39 -04:00
Danny Avila
ec7370dfe9 🪐 feat: MCP OAuth 2.0 Discovery Support (#7924)
* chore: Update @modelcontextprotocol/sdk to version 1.12.3 in package.json and package-lock.json

- Bump version of @modelcontextprotocol/sdk to 1.12.3 to incorporate recent updates.
- Update dependencies for ajv and cross-spawn to their latest versions.
- Add ajv as a new dependency in the sdk module.
- Include json-schema-traverse as a new dependency in the sdk module.

* feat: @librechat/auth

* feat: Add crypto module exports to auth package

- Introduced a new crypto module by creating index.ts in the crypto directory.
- Updated the main index.ts of the auth package to export from the new crypto module.

* feat: Update package dependencies and build scripts for auth package

- Added @librechat/auth as a dependency in package.json and package-lock.json.
- Updated build scripts to include the auth package in both frontend and bun build processes.
- Removed unused mongoose and openid-client dependencies from package-lock.json for cleaner dependency management.

* refactor: Migrate crypto utility functions to @librechat/auth

- Replaced local crypto utility imports with the new @librechat/auth package across multiple files.
- Removed the obsolete crypto.js file and its exports.
- Updated relevant services and models to utilize the new encryption and decryption methods from @librechat/auth.

* feat: Enhance OAuth token handling and update dependencies in auth package

* chore: Remove Token model and TokenService due to restructuring of OAuth handling

- Deleted the Token.js model and TokenService.js, which were responsible for managing OAuth tokens.
- This change is part of a broader refactor to streamline OAuth token management and improve code organization.

* refactor: imports from '@librechat/auth' to '@librechat/api' and add OAuth token handling functionality

* refactor: Simplify logger usage in MCP and FlowStateManager classes

* chore: fix imports

* feat: Add OAuth configuration schema to MCP with token exchange method support

* feat: FIRST PASS Implement MCP OAuth flow with token management and error handling

- Added a new route for handling OAuth callbacks and token retrieval.
- Integrated OAuth token storage and retrieval mechanisms.
- Enhanced MCP connection to support automatic OAuth flow initiation on 401 errors.
- Implemented dynamic client registration and metadata discovery for OAuth.
- Updated MCPManager to manage OAuth tokens and handle authentication requirements.
- Introduced comprehensive logging for OAuth processes and error handling.

* refactor: Update MCPConnection and MCPManager to utilize new URL handling

- Added a `url` property to MCPConnection for better URL management.
- Refactored MCPManager to use the new `url` property instead of a deprecated method for OAuth handling.
- Changed logging from info to debug level for flow manager and token methods initialization.
- Improved comments for clarity on existing tokens and OAuth event listener setup.

* refactor: Improve connection timeout error messages in MCPConnection and MCPManager and use initTimeout for connection

- Updated the connection timeout error messages to include the duration of the timeout.
- Introduced a configurable `connectTimeout` variable in both MCPConnection and MCPManager for better flexibility.

* chore: cleanup MCP OAuth Token exchange handling; fix: erroneous use of flowsCache and remove verbose logs

* refactor: Update MCPManager and MCPTokenStorage to use TokenMethods for token management

- Removed direct token storage handling in MCPManager and replaced it with TokenMethods for better abstraction.
- Refactored MCPTokenStorage methods to accept parameters for token operations, enhancing flexibility and readability.
- Improved logging messages related to token persistence and retrieval processes.

* refactor: Update MCP OAuth handling to use static methods and improve flow management

- Refactored MCPOAuthHandler to utilize static methods for initiating and completing OAuth flows, enhancing clarity and reducing instance dependencies.
- Updated MCPManager to pass flowManager explicitly to OAuth handling methods, improving flexibility in flow state management.
- Enhanced comments and logging for better understanding of OAuth processes and flow state retrieval.

* refactor: Integrate token methods into createMCPTool for enhanced token management

* refactor: Change logging from info to debug level in MCPOAuthHandler for improved log management

* chore: clean up logging

* feat: first pass, auth URL from MCP OAuth flow

* chore: Improve logging format for OAuth authentication URL display

* chore: cleanup mcp manager comments

* feat: add connection reconnection logic in MCPManager

* refactor: reorganize token storage handling in MCP

- Moved token storage logic from MCPManager to a new MCPTokenStorage class for better separation of concerns.
- Updated imports to reflect the new token storage structure.
- Enhanced methods for storing, retrieving, updating, and deleting OAuth tokens, improving overall token management.

* chore: update comment for SYSTEM_USER_ID in MCPManager for clarity

* feat: implement refresh token functionality in MCP

- Added refresh token handling in MCPManager to support token renewal for both app-level and user-specific connections.
- Introduced a refreshTokens function to facilitate token refresh logic.
- Enhanced MCPTokenStorage to manage client information and refresh token processes.
- Updated logging for better traceability during token operations.

* chore: cleanup @librechat/auth

* feat: implement MCP server initialization in a separate service

- Added a new service to handle the initialization of MCP servers, improving code organization and readability.
- Refactored the server startup logic to utilize the new initializeMCP function.
- Removed redundant MCP initialization code from the main server file.

* fix: don't log auth url for user connections

* feat: enhance OAuth flow with success and error handling components

- Updated OAuth callback routes to redirect to new success and error pages instead of sending status messages.
- Introduced `OAuthSuccess` and `OAuthError` components to provide user feedback during authentication.
- Added localization support for success and error messages in the translation files.
- Implemented countdown functionality in the success component for a better user experience.

* fix: refresh token handling for user connections, add missing URL and methods

- add standard enum for system user id and helper for determining app-lvel vs. user-level connections

* refactor: update token handling in MCPManager and MCPTokenStorage

* fix: improve error logging in OAuth authentication handler

* fix: concurrency issues for both login url emission and concurrency of oauth flows for shared flows (same user, same server, multiple calls for same server)

* fix: properly fail shared flows for concurrent server calls and prevent duplication of tokens

* chore: remove unused auth package directory from update configuration

* ci: fix mocks in samlStrategy tests

* ci: add mcpConfig to AppService test setup

* chore: remove obsolete MCP OAuth implementation documentation

* fix: update build script for API to use correct command

* chore: bump version of @librechat/api to 1.2.4

* fix: update abort signal handling in createMCPTool function

* fix: add optional clientInfo parameter to refreshTokensFunction metadata

* refactor: replace app.locals.availableTools with getCachedTools in multiple services and controllers for improved tool management

* fix: concurrent refresh token handling issue

* refactor: add signal parameter to getUserConnection method for improved abort handling

* chore: JSDoc typing for `loadEphemeralAgent`

* refactor: update isConnectionActive method to use destructured parameters for improved readability

* feat: implement caching for MCP tools to handle app-level disconnects for loading list of tools

* ci: fix agent test
2025-06-17 13:50:33 -04:00
Ruben Talstra
b412455e9d 🚮 feat: Enhance "Delete User" Script (#7899)
* 🔧 fix: Enhance user deletion script to allow deep deletion of related data

* 🔧 fix: Update user deletion script to confirm deep deletion of transaction history

* 🔧 fix: Refactor user deletion script to use graceful exit and ensure deep deletion of related data

* Update config/delete-user.js

is a good idea

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-06-15 15:08:31 -04:00
Danny Avila
3af2666890 🪐 refactor: Migrate Share Functionality to Type-Safe Methods (#7903)
* chore: Update import for isEnabled utility in convoAccess middleware

* refactor: Migrate Share functionality to new methods structure in `@librechat/data-schemas`

- Deleted the old Share.js model and moved its functionality to a new share.ts file within the data-schemas package.
- Updated imports across the codebase to reflect the new structure.
- Enhanced error handling and logging in shared link operations.
- Introduced TypeScript types for shared links and related operations to improve type safety and maintainability.

* chore: Update promptGroupSchema validation with typing

* fix: error handling and logging in createSharedLink

* fix: don't allow empty shared link or shared link without messages

* ci: add tests for shared link methods

* chore: Bump version of @librechat/data-schemas to 0.0.9 in package.json and package-lock.json

* chore: Add nanoid as peer dependency

- Introduced `nanoid` as a dependency in `package.json` and `package-lock.json`.
- Replaced UUID generation with `nanoid` for creating unique conversation and message IDs in share methods tests.
2025-06-14 11:24:30 -04:00
Danny Avila
0103b4b08a 🧹 chore: Cleanup base64 Handling for Azure Mistral OCR (#7892)
* 🧹 chore: Remove Comments and Cleanup base64 handling for Azure Mistral OCR

* chore: Remove unnecessary await from MCP instructions formatting in AgentClient

* ci: Update document_url regex in MistralOCR tests to support PDF format
2025-06-13 18:17:25 -04:00
richzw
5eb0703f78 🌐 fix: Support global location for Google VertexAI (#7768)
* fix: Check if loc is 'global' and set the endpoint prefix accordingly

* fix: ESLint error

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2025-06-13 17:51:02 -04:00
Danny Avila
4419e2c294 feat: Agent Panel UI Enhancements (#7800)
* feat: add MCP Panel to Agent Builder

- Add MCP server panel and configuration UI
- Implement MCP input forms and tool lists
- Add MCP icon and metadata support
- Integrate MCP with agent configuration
- Add localization support for MCP features
- Refactor components for better reusability
- Update types and add MCP-related mutations
- Fix small issues with Actions and AgentSelect
- Refactor AgentPanelSwitch and related components to use new
  AgentPanelContext to reduce prop drilling

* chore: import order

* chore: clean up import statements and unused var in ActionsPanel component

* refactor: AgentPanelContext with actions query, remove unnecessary `actions` state

- Added actions query using `useGetActionsQuery` to fetch actions based on the current agent ID.
- Removed now unused `setActions` state and related logic from `AgentPanelContext` and `AgentPanelSwitch` components.
- Updated `AgentPanelContextType` to reflect the removal of `setActions`.

* chore: re-order import statements in AgentConfig component

* chore: re-order import statements in ModelPanel component

* chore: update ModelPanel props to consolidated props to avoid passing unnecessary props

* chore: update import statements in Providers index file to include ToastProvider and AgentPanelContext exports

* chore: clean up import statements in VersionPanel component

* refactor: streamline AgentConfig and AgentPanel components

- Consolidated props in AgentConfig to only include necessary fields.
- Updated AgentPanel to remove unused state and props, enhancing clarity and maintainability.
- Reorganized import statements for better structure and readability.

* refactor: replace default agent form values with utility function

- Updated AgentsProvider, AgentPanel, AgentSelect, and DeleteButton components to use getDefaultAgentFormValues utility function instead of directly importing defaultAgentFormValues.
- Enhanced the initialization of agent forms by incorporating localStorage values for model and provider in the new utility function.

* chore: comment out rendering MCPSection

---------

Co-authored-by: Dustin Healy <54083382+dustinhealy@users.noreply.github.com>
2025-06-13 15:47:41 -04:00
Danny Avila
5f2d1c5dc9 👁️ feat: Azure Mistral OCR Strategy (#7888)
* 👁️ feat: Add Azure Mistral OCR strategy and endpoint integration

This commit introduces a new OCR strategy named 'azure_mistral_ocr', allowing the use of a Mistral OCR endpoint deployed on Azure. The configuration, schemas, and file upload strategies have been updated to support this integration, enabling seamless OCR processing via Azure-hosted Mistral services.

* 🗑️ chore: Clean up .gitignore by removing commented-out uncommon directory name

* chore: remove unused vars

* refactor: Move createAxiosInstance to packages/api/utils and update imports

- Removed the createAxiosInstance function from the config module and relocated it to a new utils module for better organization.
- Updated import paths in relevant files to reflect the new location of createAxiosInstance.
- Added tests for createAxiosInstance to ensure proper functionality and proxy configuration handling.

* chore: move axios helpers to packages/api

- Added logAxiosError function to @librechat/api for centralized error logging.
- Updated imports across various files to use the new logAxiosError function.
- Removed the old axios.js utility file as it is no longer needed.

* chore: Update Jest moduleNameMapper for improved path resolution

- Added a new mapping for '~/' to resolve module paths in Jest configuration, enhancing import handling for the project.

* feat: Implement Mistral OCR API integration in TS

* chore: Update MistralOCR tests based on new imports

* fix: Enhance MistralOCR configuration handling and tests

- Introduced helper functions for resolving configuration values from environment variables or hardcoded settings.
- Updated the uploadMistralOCR and uploadAzureMistralOCR functions to utilize the new configuration resolution logic.
- Improved test cases to ensure correct behavior when mixing environment variables and hardcoded values.
- Mocked file upload and signed URL responses in tests to validate functionality without external dependencies.

* feat: Enhance MistralOCR functionality with improved configuration and error handling

- Introduced helper functions for loading authentication configuration and resolving values from environment variables.
- Updated uploadMistralOCR and uploadAzureMistralOCR functions to utilize the new configuration logic.
- Added utility functions for processing OCR results and creating error messages.
- Improved document type determination and result aggregation for better OCR processing.

* refactor: Reorganize OCR type imports in Mistral CRUD file

- Moved OCRResult, OCRResultPage, and OCRImage imports to a more logical grouping for better readability and maintainability.

* feat: Add file exports to API and create files index

* chore: Update OCR types for enhanced structure and clarity

- Redesigned OCRImage interface to include mandatory fields and improved naming conventions.
- Added PageDimensions interface for better representation of page metrics.
- Updated OCRResultPage to include dimensions and mandatory images array.
- Refined OCRResult to include document annotation and usage information.

* refactor: use TS counterpart of uploadOCR methods

* ci: Update MistralOCR tests to reflect new OCR result structure

* chore: Bump version of @librechat/api to 1.2.3 in package.json and package-lock.json

* chore: Update CONFIG_VERSION to 1.2.8

* chore: remove unused sendEvent function from config module (now imported from '@librechat/api')

* chore: remove MistralOCR service files and tests (now in '@librechat/api')

* ci: update logger import in ModelService tests to use @librechat/data-schemas

---------

Co-authored-by: arthurolivierfortin <arthurolivier.fortin@gmail.com>
2025-06-13 15:14:57 -04:00
Marco Beretta
46ff008b07 🤖 refactor: Improve Speech Settings Initialization (#7869)
*  feat: Implement speech settings initialization and update settings handling

* 🔧 fix: Ensure setters reference is included in useEffect dependencies for speech settings initialization

* chore: Update setter reference in useSpeechSettingsInit for improved type safety

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2025-06-12 17:34:04 -04:00
github-actions[bot]
55f79bd2d1 🌍 i18n: Update translation.json with latest translations (#7727)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-06-12 08:25:10 -04:00
Danny Avila
1bd874591a 🔧 feat: Add Basic Token Exchange Method for Actions OAuth flow (#7844)
- Enhanced the OAuth callback and action creation processes to include the `token_exchange_method` parameter.
- Updated the `TokenService` to handle different token exchange methods, allowing for either 'default_post' or 'basic_auth_header' approaches.
- Improved the handling of access tokens and refresh tokens based on the specified exchange method.
2025-06-11 22:12:50 -04:00
Samuel Path
6488873bad 🔧 fix: Properly handle Token Expiry Defaults when Env Variable not set (#7834) 2025-06-11 14:27:27 -04:00
Danny Avila
13c7ceb918 📋 fix: Agent Resource Deduplication & Sharing Duplicate False Positive (#7835)
* fix: `primeResources` to Prevent Duplicate Files Across Sources

- Added multiple test cases to ensure that the `primeResources` function correctly handles duplicate files from OCR and attachments, including scenarios with shared files, files without IDs, and duplicates within attachments.
- Implemented logic to categorize files into appropriate tool resources while preventing duplicates across different categories.
- Enhanced error handling and ensured that unique files are returned in the final attachments array.

* fix: Update ToolService to handle single OCR tool case (no loaded tool necessary)

* refactor: Add skipVersioning option to updateAgent for isolated updates

- for now, mainly concerns sharing/unsharing of agents

* chore: Update translation for shared agent message in UI
2025-06-11 14:17:48 -04:00
Danny Avila
cdf42b3a03 feat: Add Dynamic User Field Placeholder Support in MCP Variables (#7825)
* chore: linting in mcp.spec.ts

* chore: linting in mcp.ts

* feat(mcp): support dynamic user field placeholders in MCP environment variables

- Added user object handling in MCP options, allowing for dynamic user field processing in environment variables, headers, and URLs.
- Updated `processMCPEnv` to utilize user fields for more flexible configurations.

* chore: update backend review workflow to include unit tests for @librechat/data-schemas
2025-06-10 22:20:41 -04:00
Sebastien Bruel
c2a18f61b4 ⏱️ refactor: Retry /api/convos/gen_title every 1s for up to 20s (#7807) 2025-06-10 22:12:13 -04:00
Danny Avila
a57224c1d5 🧑‍💻 fix: Agents Config Defaults and Avatar Uploads Across File Strategies (#7814)
* fix: avatar processing across storage services, uniqueness by agent ID, prevent overwriting user avatar

* fix: sanitize file paths in deleteLocalFile function to prevent invalid path errors

* fix: correct spelling of 'agentsEndpointSchema' in agents.js and config.ts

* fix: default app.locals agents configuration setup and add agent endpoint schema default
2025-06-10 09:53:15 -04:00
Matías Sanchez Moises
118ad943c9 📄 docs: update README (#7803)
Correcting Documentation and Blog URLs
2025-06-09 21:12:35 +02:00
Danny Avila
272522452a 🔍 refactor: OpenID Fetch Handling and Logging (#7790)
* feat: Enhance OpenID Strategy with Debug Logging and Header Management

- Added detailed logging for OpenID requests and responses when debug mode is enabled.
- Introduced helper functions for safely logging sensitive data and headers.
- Updated OpenID strategy to handle non-standard WWW-Authenticate headers in responses.
- Refactored proxy configuration handling for improved clarity and logging.

* refactor: MemoryViewer Layout with Conditional Justification

- Updated the MemoryViewer component to conditionally apply justification styles based on memory data and access permissions.
- Introduced utility function `cn` for cleaner class name management in the component.

* refactor: Update OpenID Strategy to use Global Fetch

* refactor: Add undici for customFetch request handling in OpenID strategy

* fix: Export 'files' module in utils index

* chore: Add node-fetch dependency for openid image download

* ci: Add comprehensive tests for multer configuration and file handling

- Introduced a new test suite for multer configuration, covering storage destination and filename generation.
- Implemented tests for file filtering, ensuring only valid JSON files are accepted.
- Added error handling tests for edge cases and vulnerabilities, including handling empty field names and malformed filenames.
- Integrated real configuration testing with actual fileConfig and custom endpoints.
- Enhanced UUID generation tests to ensure uniqueness and cryptographic security.

* chore: Improve proxy configuration logging in customFetch function

* fix: Improve logging for non-standard WWW-Authenticate header in customFetch function
2025-06-09 11:27:23 -04:00
Marco Beretta
b0054c775a 🎨 refactor: Enhance UI Consistency, Accessibility & Localization (#7788) 2025-06-08 14:00:57 -04:00
Danny Avila
9bb9aba8ec 🐳 chore: conflicting build stage name in Dockerfile.multi 2025-06-08 10:36:43 -04:00
Danny Avila
293ac02b95 🛡️ chore: update multer to v2.0.1 2025-06-07 20:23:19 -04:00
Danny Avila
29ef91b4dd 🧠 feat: User Memories for Conversational Context (#7760)
* 🧠 feat: User Memories for Conversational Context

chore: mcp typing, use `t`

WIP: first pass, Memories UI

- Added MemoryViewer component for displaying, editing, and deleting user memories.
- Integrated data provider hooks for fetching, updating, and deleting memories.
- Implemented pagination and loading states for better user experience.
- Created unit tests for MemoryViewer to ensure functionality and interaction with data provider.
- Updated translation files to include new UI strings related to memories.

chore: move mcp-related files to own directory

chore: rename librechat-mcp to librechat-api

WIP: first pass, memory processing and data schemas

chore: linting in fileSearch.js query description

chore: rename librechat-api to @librechat/api across the project

WIP: first pass, functional memory agent

feat: add MemoryEditDialog and MemoryViewer components for managing user memories

- Introduced MemoryEditDialog for editing memory entries with validation and toast notifications.
- Updated MemoryViewer to support editing and deleting memories, including pagination and loading states.
- Enhanced data provider to handle memory updates with optional original key for better management.
- Added new localization strings for memory-related UI elements.

feat: add memory permissions management

- Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories.
- Added new API endpoints for updating memory permissions associated with roles.
- Created a new AdminSettings component for managing memory permissions in the frontend.
- Integrated memory permissions into the existing roles and permissions schemas.
- Updated the interface to include memory settings and permissions.
- Enhanced the MemoryViewer component to conditionally render admin settings based on user roles.
- Added localization support for memory permissions in the translation files.

feat: move AdminSettings component to a new position in MemoryViewer for better visibility

refactor: clean up commented code in MemoryViewer component

feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration

- Added a search input to filter memories in the MemoryViewer component.
- Refactored MemoryEditDialog to accept children for better customization.
- Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories.
- Improved localization support by adding new strings for memory filtering and deletion confirmation.

refactor: optimize memory filtering in MemoryViewer using match-sorter

- Replaced manual filtering logic with match-sorter for improved search functionality.
- Enhanced performance and readability of the filteredMemories computation.

feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling

feat: implement access control for MemoryEditDialog and MemoryViewer components

refactor: remove commented out code and create runMemory method

refactor: rename role based files

feat: implement access control for memory usage in AgentClient

refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code

refactor: make `agents` dir in api package

refactor: migrate Azure utilities to TypeScript and consolidate imports

refactor: move sanitizeFilename function to a new file and update imports, add related tests

refactor: update LLM configuration types and consolidate Azure options in the API package

chore: linting

chore: import order

refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file

chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json

refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports

refactor: move createRun function to a new run.ts file and update related imports

fix: ensure safeAttachments is correctly typed as an array of TFile

chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file

refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options

feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling

fix: update types due to new TEndpointOption typing

fix: ensure safe access to group parameters in initializeOpenAIOptions function

fix: remove redundant API key validation comment in initializeOpenAIOptions function

refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation

refactor: decouple req.body fields and tool loading from initializeAgentOptions

chore: linting

refactor: adjust column widths in MemoryViewer for improved layout

refactor: simplify agent initialization by creating loadAgent function and removing unused code

feat: add memory configuration loading and validation functions

WIP: first pass, memory processing with config

feat: implement memory callback and artifact handling

feat: implement memory artifacts display and processing updates

feat: add memory configuration options and schema validation for validKeys

fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements

refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling

WIP: initial tokenLimit config and move Tokenizer to @librechat/api

refactor: update mongoMeili plugin methods to use callback for better error handling

feat: enhance memory management with token tracking and usage metrics

- Added token counting for memory entries to enforce limits and provide usage statistics.
- Updated memory retrieval and update routes to include total token usage and limit.
- Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information.
- Refactored memory processing functions to handle token limits and provide feedback on memory capacity.

feat: implement memory artifact handling in attachment handler

- Enhanced useAttachmentHandler to process memory artifacts when receiving updates.
- Introduced handleMemoryArtifact utility to manage memory updates and deletions.
- Updated query client to reflect changes in memory state based on incoming data.

refactor: restructure web search key extraction logic

- Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys.
- Updated webSearchKeys to utilize the new function for improved clarity and maintainability.
- Prevents build time errors

feat: add personalization settings and memory preferences management

- Introduced a new Personalization tab in settings to manage user memory preferences.
- Implemented API endpoints and client-side logic for updating memory preferences.
- Enhanced user interface components to reflect personalization options and memory usage.
- Updated permissions to allow users to opt out of memory features.
- Added localization support for new settings and messages related to personalization.

style: personalization switch class

feat: add PersonalizationIcon and align Side Panel UI

feat: implement memory creation functionality

- Added a new API endpoint for creating memory entries, including validation for key and value.
- Introduced MemoryCreateDialog component for user interface to facilitate memory creation.
- Integrated token limit checks to prevent exceeding user memory capacity.
- Updated MemoryViewer to include a button for opening the memory creation dialog.
- Enhanced localization support for new messages related to memory creation.

feat: enhance message processing with configurable window size

- Updated AgentClient to use a configurable message window size for processing messages.
- Introduced messageWindowSize option in memory configuration schema with a default value of 5.
- Improved logic for selecting messages to process based on the configured window size.

chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json

chore: remove OpenAPIPlugin and its associated tests

chore: remove MIGRATION_README.md as migration tasks are completed

ci: fix backend tests

chore: remove unused translation keys from localization file

chore: remove problematic test file and unused var in AgentClient

chore: remove unused import and import directly for JSDoc

* feat: add api package build stage in Dockerfile for improved modularity

* docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00
Marco Beretta
cd7dd576c1 🎨 style: Unify Styles across Themes and Improve Accessibility (#7783)
* style: update button styles for improved hover effects and accessibility

* style: enhance CustomMenuItem styling for improved visual feedback

* style: improved accessibility and visual consistency

* chore: add missing localization in ActionsPanel

---------

Co-authored-by: Danny Avila <danny@librechat.ai>
2025-06-07 18:22:08 -04:00
Danny Avila
c22d74d41e fix: disable tracking clicks in Mailgun email configuration 2025-06-07 00:49:41 -04:00
Ben Verhees
2c39ccd2af 💉 feat: Optionally Inject MCP Server Instructions (#7660)
* feat: Add MCP server instructions to context

* chore: remove async method as no async code is performed

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* chore: remove co-pilot promise resolution

---------

Co-authored-by: Danny Avila <danacordially@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-06-06 17:29:17 -04:00
matt burnett
53df6a1a71 🔄 fix: Update Agent Versioning to Include agent_ids (#7762)
* Removed agent_ids exclusion from version comparison in the Agent model.
* Added tests to ensure agent_ids changes trigger new version creation and handle duplicates correctly.
* Enhanced existing tests to validate agent_ids alongside other fields and preserve history.
2025-06-06 16:43:39 -04:00
Danny Avila
dff4fcac00 🔧 fix: Apply Mongoose Plugin at Model Creation (#7749)
* fix: apply mongoMeili when models are created to use main runtime mongoose

* chore: update @librechat/data-schemas version to 0.0.8

* refactor: remove unused useDebounceCodeBlock

* fix: ensure setter function is stable and handle numeric conversion in useDebouncedInput

* refactor: replace useCallback with useMemo for stable debounced function in useDebouncedInput
2025-06-04 23:11:34 -04:00
Danny Avila
be4cf5846c 📧 feat: Mailgun API Email Configuration (#7742)
* fix: add undefined password check in local user authentication

* fix: edge case - issue deleting user when no conversations in deleteUserController

* feat: Integrate Mailgun API for email sending functionality

* fix: undefined SESSION_EXPIRY handling and add tests

* fix: update import path for isEnabled utility in azureUtils.js to resolve circular dep.
2025-06-04 13:12:37 -04:00
Danny Avila
6bb78247b3 🔧 fix: Google Custom Headers, Bookmarks Menu, Sources Dialog Close (#7722)
* 🔧 chore: fix ESLint warnings in AdminSettings

* fix: DropdownPopup for BookmarkMenu being affected by recent Header change

* fix: Replace button with OGDialogClose for proper dialog closing

* chore: linting in google client initialization

* chore: linting in getLLMConfig function

* chore: update @librechat/agents to version 2.4.38 to support Google GenAI Custom Headers
2025-06-04 00:13:28 -04:00
github-actions[bot]
cbddd394a5 🌍 i18n: Update translation.json with latest translations (#7692)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-06-03 22:06:29 -04:00
matt burnett
830be18b90 📏 chore: Update ESLint Rules for Unused Variables (#7719) 2025-06-03 22:05:26 -04:00
matt burnett
32bab33499 🔄 fix: Handle Legacy Agent Version Creation (#7718)
* Simplify version creation logic in updateAgent function

* Add comprehensive tests for agent functionality including version history, action metadata generation, and loading agents

- Introduced tests for generating consistent hashes for action metadata.
- Implemented tests for loading agents with various scenarios including null and non-existent IDs.
- Added edge case tests for agent creation, updates, and error handling.
- Ensured proper handling of ephemeral agents and their associated functionalities.

* Enhance tests for Agent model functionality

- Updated test structure for Agent resource file operations, improving organization and readability.
- Added comprehensive tests for handling concurrent file additions and removals, ensuring data integrity.
- Implemented edge case tests for agent creation and resource file management, including scenarios with non-existent agents.
- Enhanced error handling in tests to cover various failure scenarios, ensuring robustness in agent operations.

* optimize tests
2025-06-03 22:04:13 -04:00
Danny Avila
1806b70418 👓 a11y: Add Solid Marker to Improve Visibility in LLM Menu (#7714)
* feat[a11y]: add solid left border to improve visibility in LLM's submenu items.

* 🎨 style: Update CustomMenuItem class for improved border visibility

---------

Co-authored-by: Derek Jackson <derek_jackson@harvard.edu>
2025-06-03 14:42:59 -04:00
Märt
5ccdb83e5e 🔧 fix: Use Correct Description for Balance Info (#7712) 2025-06-03 14:05:41 -04:00
Danny Avila
8cade2120d 🎨 style: Reduce Transition Duration For Nav And Header from #7653 (#7691) 2025-06-02 14:56:26 -04:00
Danny Avila
c7f2ee36c5 🔄 chore: Update mongoose model imports in delete-banner.js and reset-password.js (#7690) 2025-06-02 14:37:37 -04:00
github-actions[bot]
f2f4bf87ca 🌍 i18n: Update translation.json with latest translations (#7676)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-06-02 07:54:57 -04:00
Marco Beretta
442b149d55 🖼️ feat: Avatar GIF Support & Dynamic Extensions (#7657) 2025-06-02 07:51:38 -04:00
Marco Beretta
aca89091d9 🎨 style: Header UI Transitions & Image Detail Panel (#7653)
* feat: Enhance DialogImage component with image size retrieval and details panel

* feat: Improve UI transitions and responsiveness in Header, DialogImage, Nav, and SearchBar components

* fix: Correct button icon toggle in DialogImage component
2025-06-02 07:50:44 -04:00
Marco Beretta
37c94beeac 🎨 refactor: Auth Components UI Consistency (#7651)
* 🔧 refactor: Improve Error Handling and UI Consistency in Auth Components

* 🔧 refactor: Email Templates

* 🔧 refactor: Enhance LoginForm with loading state and spinner

* 🔧 refactor: Replace button elements with Button component and enhance UI consistency across Auth forms
2025-06-02 07:49:10 -04:00
derhelge
80bc49db8d 🪙 a11y: Improved Readability of Tokens (#7643)
Co-authored-by: Helge Wiethoff <helge.wiethoff@thga.de>
2025-06-02 07:48:33 -04:00
Danny Avila
d3a504857a 🐋 ci: update dev deployment script 2025-06-02 05:33:46 -04:00
github-actions[bot]
09e3500d39 🌍 i18n: Update translation.json with latest translations (#7635)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2025-06-02 05:25:04 -04:00
Danny Avila
8458401ce6 🐋 ci: Update Docker image removal command in deploy workflow 2025-06-01 20:52:35 -04:00
Danny Avila
f9d40784f0 🔧 fix: Dev Deployment, Mistral OCR Error, and UI Consistency (#7668)
* 🔧 fix: Update ProgressText and ToolCall components for improved error handling and localization

* 🔧 chore: Format ESLint configuration for improved readability and remove unused rule

* 🔧 refactor: Simplify ProgressText component logic for better readability and maintainability

* 🔧 refactor: Update ProgressText and ToolCall components for improved layout consistency

* 🔧 refactor: Simplify icon rendering in TTS components and enhance button rendering logic in HoverButtons

* 🔧 refactor: Update placeholder logic in VariableForm component to simply use variable name

* fix: .docx. .pptx Mistral OCR Error with `image_limit=0`

* chore: Update deploy workflow to include conditions for successful dev branch deployment and streamline deployment steps

* ci: Set image_limit to 0 in MistralOCR service tests for consistent behavior
2025-06-01 17:48:19 -04:00
Danny Avila
a2fc7d312a 🏗️ refactor: Extract DB layers to data-schemas for shared use (#7650)
* refactor: move model definitions and database-related methods to packages/data-schemas

* ci: update tests due to new DB structure

fix: disable mocking `librechat-data-provider`

feat: Add schema exports to data-schemas package

- Introduced a new schema module that exports various schemas including action, agent, and user schemas.
- Updated index.ts to include the new schema exports for better modularity and organization.

ci: fix appleStrategy tests

fix: Agent.spec.js

ci: refactor handleTools tests to use MongoMemoryServer for in-memory database

fix: getLogStores imports

ci: update banViolation tests to use MongoMemoryServer and improve session mocking

test: refactor samlStrategy tests to improve mock configurations and user handling

ci: fix crypto mock in handleText tests for improved accuracy

ci: refactor spendTokens tests to improve model imports and setup

ci: refactor Message model tests to use MongoMemoryServer and improve database interactions

* refactor: streamline IMessage interface and move feedback properties to types/message.ts

* refactor: use exported initializeRoles from `data-schemas`, remove api workspace version (this serves as an example of future migrations that still need to happen)

* refactor: update model imports to use destructuring from `~/db/models` for consistency and clarity

* refactor: remove unused mongoose imports from model files for cleaner code

* refactor: remove unused mongoose imports from Share, Prompt, and Transaction model files for cleaner code

* refactor: remove unused import in Transaction model for cleaner code

* ci: update deploy workflow to reference new Docker Dev Branch Images Build and add new workflow for building Docker images on dev branch

* chore: cleanup imports
2025-05-30 22:18:13 -04:00
Ruben Talstra
4cbab86b45 📈 feat: Chat rating for feedback (#5878)
* feat: working started for feedback implementation.

TODO:
- needs some refactoring.
- needs some UI animations.

* feat: working rate functionality

* feat: works now as well to reader the already rated responses from the server.

* feat: added the option to give feedback in text (optional)

* feat: added Dismiss option `x` to the `FeedbackTagOptions`

*  feat: Add rating and ratingContent fields to message schema

* 🔧 chore: Bump version to 0.0.3 in package.json

*  feat: Enhance feedback localization and update UI elements

* 🚀 feat: Implement feedback tagging system with thumbs up/down options

* 🚀 feat: Add data-provider package to unused i18n keys detection

* 🎨 style: update HoverButtons' style

* 🎨 style: Update HoverButtons and Fork components for improved styling and visibility

* 🔧 feat: Implement feedback system with rating and content options

* 🔧 feat: Enhance feedback handling with improved rating toggle and tag options

* 🔧 feat: Integrate toast notifications for feedback submission and clean up unused state

* 🔧 feat: Remove unused feedback tag options from translation file

*  refactor: clean up Feedback component and improve HoverButtons structure

*  refactor: remove unused settings switches for auto scroll, hide side panel, and user message markdown

* refactor: reorganize import order

*  refactor: enhance HoverButtons and Fork components with improved styles and animations

*  refactor: update feedback response phrases for improved user engagement

*  refactor: add CheckboxOption component and streamline fork options rendering

* Refactor feedback components and logic

- Consolidated feedback handling into a single Feedback component, removing FeedbackButtons and FeedbackTagOptions.
- Introduced new feedback tagging system with detailed tags for both thumbs up and thumbs down ratings.
- Updated feedback schema to include new tags and improved type definitions.
- Enhanced user interface for feedback collection, including a dialog for additional comments.
- Removed obsolete files and adjusted imports accordingly.
- Updated translations for new feedback tags and placeholders.

*  refactor: update feedback handling by replacing rating fields with feedback in message updates

* fix: add missing validateMessageReq middleware to feedback route and refactor feedback system

* 🗑️ chore: Remove redundant fork option explanations from translation file

* 🔧 refactor: Remove unused dependency from feedback callback

* 🔧 refactor: Simplify message update response structure and improve error logging

* Chore: removed unused tests.

---------

Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
2025-05-30 12:16:34 -04:00
806 changed files with 65021 additions and 19103 deletions

View File

@@ -58,7 +58,7 @@ DEBUG_CONSOLE=false
# Endpoints #
#===================================================#
# ENDPOINTS=openAI,assistants,azureOpenAI,google,gptPlugins,anthropic
# ENDPOINTS=openAI,assistants,azureOpenAI,google,anthropic
PROXY=
@@ -142,10 +142,10 @@ GOOGLE_KEY=user_provided
# GOOGLE_AUTH_HEADER=true
# Gemini API (AI Studio)
# 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_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
# Vertex AI
# 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_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_TITLE_MODEL=gemini-2.0-flash-lite-001
@@ -349,6 +349,11 @@ REGISTRATION_VIOLATION_SCORE=1
CONCURRENT_VIOLATION_SCORE=1
MESSAGE_VIOLATION_SCORE=1
NON_BROWSER_VIOLATION_SCORE=20
TTS_VIOLATION_SCORE=0
STT_VIOLATION_SCORE=0
FORK_VIOLATION_SCORE=0
IMPORT_VIOLATION_SCORE=0
FILE_UPLOAD_VIOLATION_SCORE=0
LOGIN_MAX=7
LOGIN_WINDOW=5
@@ -453,8 +458,8 @@ 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_USERINFRO_REQUIRED=
OPENID_ON_BEHALF_FLOW_USERINFRO_SCOPE = "user.read" # example for Scope Needed for Microsoft Graph API
OPENID_ON_BEHALF_FLOW_FOR_USERINFO_REQUIRED=
OPENID_ON_BEHALF_FLOW_USERINFO_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 +490,21 @@ 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=
@@ -515,6 +535,18 @@ EMAIL_PASSWORD=
EMAIL_FROM_NAME=
EMAIL_FROM=noreply@librechat.ai
#========================#
# Mailgun API #
#========================#
# MAILGUN_API_KEY=your-mailgun-api-key
# MAILGUN_DOMAIN=mg.yourdomain.com
# EMAIL_FROM=noreply@yourdomain.com
# EMAIL_FROM_NAME="LibreChat"
# # Optional: For EU region
# MAILGUN_HOST=https://api.eu.mailgun.net
#========================#
# Firebase CDN #
#========================#
@@ -563,6 +595,10 @@ ALLOW_SHARED_LINKS_PUBLIC=true
# If you have another service in front of your LibreChat doing compression, disable express based compression here
# DISABLE_COMPRESSION=true
# If you have gzipped version of uploaded image images in the same folder, this will enable gzip scan and serving of these images
# Note: The images folder will be scanned on startup and a ma kept in memory. Be careful for large number of images.
# ENABLE_IMAGE_OUTPUT_GZIP_SCAN=true
#===================================================#
# UI #
#===================================================#
@@ -580,11 +616,31 @@ HELP_AND_FAQ_URL=https://librechat.ai
# REDIS Options #
#===============#
# REDIS_URI=10.10.10.10:6379
# Enable Redis for caching and session storage
# USE_REDIS=true
# USE_REDIS_CLUSTER=true
# REDIS_CA=/path/to/ca.crt
# Single Redis instance
# REDIS_URI=redis://127.0.0.1:6379
# Redis cluster (multiple nodes)
# REDIS_URI=redis://127.0.0.1:7001,redis://127.0.0.1:7002,redis://127.0.0.1:7003
# Redis with TLS/SSL encryption and CA certificate
# REDIS_URI=rediss://127.0.0.1:6380
# REDIS_CA=/path/to/ca-cert.pem
# Redis authentication (if required)
# REDIS_USERNAME=your_redis_username
# REDIS_PASSWORD=your_redis_password
# Redis key prefix configuration
# Use environment variable name for dynamic prefix (recommended for cloud deployments)
# REDIS_KEY_PREFIX_VAR=K_REVISION
# Or use static prefix directly
# REDIS_KEY_PREFIX=librechat
# Redis connection limits
# REDIS_MAX_LISTENERS=40
#==================================================#
# Others #
@@ -645,4 +701,4 @@ 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

View File

@@ -30,8 +30,8 @@ Project maintainers have the right and responsibility to remove, edit, or reject
2. Install typescript globally: `npm i -g typescript`.
3. Run `npm ci` to install dependencies.
4. Build the data provider: `npm run build:data-provider`.
5. Build MCP: `npm run build:mcp`.
6. Build data schemas: `npm run build:data-schemas`.
5. Build data schemas: `npm run build:data-schemas`.
6. Build API methods: `npm run build:api`.
7. Setup and run unit tests:
- Copy `.env.test`: `cp api/test/.env.test.example api/test/.env.test`.
- Run backend unit tests: `npm run test:api`.

View File

@@ -7,6 +7,7 @@ on:
- release/*
paths:
- 'api/**'
- 'packages/api/**'
jobs:
tests_Backend:
name: Run Backend unit tests
@@ -36,12 +37,12 @@ jobs:
- name: Install Data Provider Package
run: npm run build:data-provider
- name: Install MCP Package
run: npm run build:mcp
- name: Install Data Schemas Package
run: npm run build:data-schemas
- name: Install API Package
run: npm run build:api
- name: Create empty auth.json file
run: |
mkdir -p api/data
@@ -66,5 +67,8 @@ jobs:
- name: Run librechat-data-provider unit tests
run: cd packages/data-provider && npm run test:ci
- name: Run librechat-mcp unit tests
run: cd packages/mcp && npm run test:ci
- name: Run @librechat/data-schemas unit tests
run: cd packages/data-schemas && npm run test:ci
- name: Run @librechat/api unit tests
run: cd packages/api && npm run test:ci

32
.github/workflows/client.yml vendored Normal file
View File

@@ -0,0 +1,32 @@
name: Publish `@librechat/client` to NPM
on:
workflow_dispatch:
inputs:
reason:
description: 'Reason for manual trigger'
required: false
default: 'Manual publish requested'
jobs:
build-and-publish:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Use Node.js
uses: actions/setup-node@v4
with:
node-version: '18.x'
- name: Check if client package exists
run: |
if [ -d "packages/client" ]; then
echo "Client package directory found"
else
echo "Client package directory not found - workflow ready for future use"
exit 0
fi
- name: Placeholder for future publishing
run: echo "Client package publishing workflow is ready"

View File

@@ -2,7 +2,7 @@ name: Update Test Server
on:
workflow_run:
workflows: ["Docker Dev Images Build"]
workflows: ["Docker Dev Branch Images Build"]
types:
- completed
workflow_dispatch:
@@ -12,7 +12,8 @@ jobs:
runs-on: ubuntu-latest
if: |
github.repository == 'danny-avila/LibreChat' &&
(github.event_name == 'workflow_dispatch' || github.event.workflow_run.conclusion == 'success')
(github.event_name == 'workflow_dispatch' ||
(github.event.workflow_run.conclusion == 'success' && github.event.workflow_run.head_branch == 'dev'))
steps:
- name: Checkout repository
uses: actions/checkout@v4
@@ -29,13 +30,17 @@ jobs:
DO_USER: ${{ secrets.DO_USER }}
run: |
ssh -o StrictHostKeyChecking=no ${DO_USER}@${DO_HOST} << EOF
sudo -i -u danny bash << EEOF
sudo -i -u danny bash << 'EEOF'
cd ~/LibreChat && \
git fetch origin main && \
npm run update:deployed && \
sudo npm run stop:deployed && \
sudo docker images --format "{{.Repository}}:{{.ID}}" | grep -E "lc-dev|librechat" | cut -d: -f2 | xargs -r sudo docker rmi -f || true && \
sudo npm run update:deployed && \
git checkout dev && \
git pull origin dev && \
git checkout do-deploy && \
git rebase main && \
npm run start:deployed && \
git rebase dev && \
sudo npm run start:deployed && \
echo "Update completed. Application should be running now."
EEOF
EOF

72
.github/workflows/dev-branch-images.yml vendored Normal file
View File

@@ -0,0 +1,72 @@
name: Docker Dev Branch Images Build
on:
workflow_dispatch:
push:
branches:
- dev
paths:
- 'api/**'
- 'client/**'
- 'packages/**'
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
include:
- target: api-build
file: Dockerfile.multi
image_name: lc-dev-api
- target: node
file: Dockerfile
image_name: lc-dev
steps:
# Check out the repository
- name: Checkout
uses: actions/checkout@v4
# Set up QEMU
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
# Set up Docker Buildx
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
# Log in to GitHub Container Registry
- name: Log in to GitHub Container Registry
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
# Login to Docker Hub
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
# Prepare the environment
- name: Prepare environment
run: |
cp .env.example .env
# Build and push Docker images for each target
- name: Build and push Docker images
uses: docker/build-push-action@v5
with:
context: .
file: ${{ matrix.file }}
push: true
tags: |
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:${{ github.sha }}
ghcr.io/${{ github.repository_owner }}/${{ matrix.image_name }}:latest
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:${{ github.sha }}
${{ secrets.DOCKERHUB_USERNAME }}/${{ matrix.image_name }}:latest
platforms: linux/amd64,linux/arm64
target: ${{ matrix.target }}

View File

@@ -5,12 +5,13 @@ on:
paths:
- "client/src/**"
- "api/**"
- "packages/data-provider/src/**"
jobs:
detect-unused-i18n-keys:
runs-on: ubuntu-latest
permissions:
pull-requests: write # Required for posting PR comments
pull-requests: write
steps:
- name: Checkout repository
uses: actions/checkout@v3

View File

@@ -98,6 +98,8 @@ jobs:
cd client
UNUSED=$(depcheck --json | jq -r '.dependencies | join("\n")' || echo "")
UNUSED=$(comm -23 <(echo "$UNUSED" | sort) <(cat ../client_used_deps.txt ../client_used_code.txt | sort) || echo "")
# Filter out false positives
UNUSED=$(echo "$UNUSED" | grep -v "^micromark-extension-llm-math$" || echo "")
echo "CLIENT_UNUSED<<EOF" >> $GITHUB_ENV
echo "$UNUSED" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV

10
.gitignore vendored
View File

@@ -55,6 +55,7 @@ bower_components/
# AI
.clineignore
.cursor
.aider*
# Floobits
.floo
@@ -124,3 +125,12 @@ helm/**/.values.yaml
# SAML Idp cert
*.cert
# AI Assistants
/.claude/
/.cursor/
/.copilot/
/.aider/
/.openai/
/.tabnine/
/.codeium

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

@@ -1,4 +1,4 @@
# v0.7.8
# v0.7.9-rc1
# Base node image
FROM node:20-alpine AS node

View File

@@ -1,5 +1,5 @@
# Dockerfile.multi
# v0.7.8
# v0.7.9-rc1
# Base for all builds
FROM node:20-alpine AS base-min
@@ -14,7 +14,7 @@ RUN npm config set fetch-retry-maxtimeout 600000 && \
npm config set fetch-retry-mintimeout 15000
COPY package*.json ./
COPY packages/data-provider/package*.json ./packages/data-provider/
COPY packages/mcp/package*.json ./packages/mcp/
COPY packages/api/package*.json ./packages/api/
COPY packages/data-schemas/package*.json ./packages/data-schemas/
COPY client/package*.json ./client/
COPY api/package*.json ./api/
@@ -24,26 +24,27 @@ FROM base-min AS base
WORKDIR /app
RUN npm ci
# Build data-provider
# Build `data-provider` package
FROM base AS data-provider-build
WORKDIR /app/packages/data-provider
COPY packages/data-provider ./
RUN npm run build
# Build mcp package
FROM base AS mcp-build
WORKDIR /app/packages/mcp
COPY packages/mcp ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
RUN npm run build
# Build data-schemas
# Build `data-schemas` package
FROM base AS data-schemas-build
WORKDIR /app/packages/data-schemas
COPY packages/data-schemas ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
RUN npm run build
# Build `api` package
FROM base AS api-package-build
WORKDIR /app/packages/api
COPY packages/api ./
COPY --from=data-provider-build /app/packages/data-provider/dist /app/packages/data-provider/dist
COPY --from=data-schemas-build /app/packages/data-schemas/dist /app/packages/data-schemas/dist
RUN npm run build
# Client build
FROM base AS client-build
WORKDIR /app/client
@@ -63,8 +64,8 @@ RUN npm ci --omit=dev
COPY api ./api
COPY config ./config
COPY --from=data-provider-build /app/packages/data-provider/dist ./packages/data-provider/dist
COPY --from=mcp-build /app/packages/mcp/dist ./packages/mcp/dist
COPY --from=data-schemas-build /app/packages/data-schemas/dist ./packages/data-schemas/dist
COPY --from=api-package-build /app/packages/api/dist ./packages/api/dist
COPY --from=client-build /app/client/dist ./client/dist
WORKDIR /app/api
EXPOSE 3080

View File

@@ -52,7 +52,7 @@
- 🖥️ **UI & Experience** inspired by ChatGPT with enhanced design and features
- 🤖 **AI Model Selection**:
- Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Assistants API (incl. Azure)
- Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
- [Custom Endpoints](https://www.librechat.ai/docs/quick_start/custom_endpoints): Use any OpenAI-compatible API with LibreChat, no proxy required
- Compatible with [Local & Remote AI Providers](https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints):
- Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
@@ -66,10 +66,9 @@
- 🔦 **Agents & Tools Integration**:
- **[LibreChat Agents](https://www.librechat.ai/docs/features/agents)**:
- No-Code Custom Assistants: Build specialized, AI-driven helpers without coding
- Flexible & Extensible: Attach tools like DALL-E-3, file search, code execution, and more
- Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, and more
- Flexible & Extensible: Use MCP Servers, tools, file search, code execution, and more
- Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
- [Model Context Protocol (MCP) Support](https://modelcontextprotocol.io/clients#librechat) for Tools
- Use LibreChat Agents and OpenAI Assistants with Files, Code Interpreter, Tools, and API Actions
- 🔍 **Web Search**:
- Search the internet and retrieve relevant information to enhance your AI context
@@ -150,8 +149,8 @@ Click on the thumbnail to open the video☝
**Other:**
- **Website:** [librechat.ai](https://librechat.ai)
- **Documentation:** [docs.librechat.ai](https://docs.librechat.ai)
- **Blog:** [blog.librechat.ai](https://blog.librechat.ai)
- **Documentation:** [librechat.ai/docs](https://librechat.ai/docs)
- **Blog:** [librechat.ai/blog](https://librechat.ai/blog)
---

View File

@@ -10,6 +10,7 @@ const {
validateVisionModel,
} = require('librechat-data-provider');
const { SplitStreamHandler: _Handler } = require('@librechat/agents');
const { Tokenizer, createFetch, createStreamEventHandlers } = require('@librechat/api');
const {
truncateText,
formatMessage,
@@ -26,8 +27,6 @@ const {
const { getModelMaxTokens, getModelMaxOutputTokens, matchModelName } = require('~/utils');
const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
const { encodeAndFormat } = require('~/server/services/Files/images/encode');
const { createFetch, createStreamEventHandlers } = require('./generators');
const Tokenizer = require('~/server/services/Tokenizer');
const { sleep } = require('~/server/utils');
const BaseClient = require('./BaseClient');
const { logger } = require('~/config');
@@ -191,10 +190,11 @@ class AnthropicClient extends BaseClient {
reverseProxyUrl: this.options.reverseProxyUrl,
}),
apiKey: this.apiKey,
fetchOptions: {},
};
if (this.options.proxy) {
options.httpAgent = new HttpsProxyAgent(this.options.proxy);
options.fetchOptions.agent = new HttpsProxyAgent(this.options.proxy);
}
if (this.options.reverseProxyUrl) {

View File

@@ -13,7 +13,6 @@ const {
const { getMessages, saveMessage, updateMessage, saveConvo, getConvo } = require('~/models');
const { checkBalance } = require('~/models/balanceMethods');
const { truncateToolCallOutputs } = require('./prompts');
const { addSpaceIfNeeded } = require('~/server/utils');
const { getFiles } = require('~/models/File');
const TextStream = require('./TextStream');
const { logger } = require('~/config');
@@ -109,12 +108,15 @@ class BaseClient {
/**
* Abstract method to record token usage. Subclasses must implement this method.
* If a correction to the token usage is needed, the method should return an object with the corrected token counts.
* Should only be used if `recordCollectedUsage` was not used instead.
* @param {string} [model]
* @param {number} promptTokens
* @param {number} completionTokens
* @returns {Promise<void>}
*/
async recordTokenUsage({ promptTokens, completionTokens }) {
async recordTokenUsage({ model, promptTokens, completionTokens }) {
logger.debug('[BaseClient] `recordTokenUsage` not implemented.', {
model,
promptTokens,
completionTokens,
});
@@ -198,6 +200,10 @@ class BaseClient {
this.currentMessages[this.currentMessages.length - 1].messageId = head;
}
if (opts.isRegenerate && responseMessageId.endsWith('_')) {
responseMessageId = crypto.randomUUID();
}
this.responseMessageId = responseMessageId;
return {
@@ -572,7 +578,7 @@ class BaseClient {
});
}
const { generation = '' } = opts;
const { editedContent } = opts;
// It's not necessary to push to currentMessages
// depending on subclass implementation of handling messages
@@ -587,11 +593,21 @@ class BaseClient {
isCreatedByUser: false,
model: this.modelOptions?.model ?? this.model,
sender: this.sender,
text: generation,
};
this.currentMessages.push(userMessage, latestMessage);
} else {
latestMessage.text = generation;
} else if (editedContent != null) {
// Handle editedContent for content parts
if (editedContent && latestMessage.content && Array.isArray(latestMessage.content)) {
const { index, text, type } = editedContent;
if (index >= 0 && index < latestMessage.content.length) {
const contentPart = latestMessage.content[index];
if (type === ContentTypes.THINK && contentPart.type === ContentTypes.THINK) {
contentPart[ContentTypes.THINK] = text;
} else if (type === ContentTypes.TEXT && contentPart.type === ContentTypes.TEXT) {
contentPart[ContentTypes.TEXT] = text;
}
}
}
}
this.continued = true;
} else {
@@ -672,16 +688,32 @@ class BaseClient {
};
if (typeof completion === 'string') {
responseMessage.text = addSpaceIfNeeded(generation) + completion;
responseMessage.text = completion;
} else if (
Array.isArray(completion) &&
(this.clientName === EModelEndpoint.agents ||
isParamEndpoint(this.options.endpoint, this.options.endpointType))
) {
responseMessage.text = '';
responseMessage.content = completion;
if (!opts.editedContent || this.currentMessages.length === 0) {
responseMessage.content = completion;
} else {
const latestMessage = this.currentMessages[this.currentMessages.length - 1];
if (!latestMessage?.content) {
responseMessage.content = completion;
} else {
const existingContent = [...latestMessage.content];
const { type: editedType } = opts.editedContent;
responseMessage.content = this.mergeEditedContent(
existingContent,
completion,
editedType,
);
}
}
} else if (Array.isArray(completion)) {
responseMessage.text = addSpaceIfNeeded(generation) + completion.join('');
responseMessage.text = completion.join('');
}
if (
@@ -712,9 +744,13 @@ class BaseClient {
} else {
responseMessage.tokenCount = this.getTokenCountForResponse(responseMessage);
completionTokens = responseMessage.tokenCount;
await this.recordTokenUsage({
usage,
promptTokens,
completionTokens,
model: responseMessage.model,
});
}
await this.recordTokenUsage({ promptTokens, completionTokens, usage });
}
if (userMessagePromise) {
@@ -792,7 +828,8 @@ class BaseClient {
userMessage.tokenCount = userMessageTokenCount;
/*
Note: `AskController` saves the user message, so we update the count of its `userMessage` reference
Note: `AgentController` saves the user message if not saved here
(noted by `savedMessageIds`), so we update the count of its `userMessage` reference
*/
if (typeof opts?.getReqData === 'function') {
opts.getReqData({
@@ -801,7 +838,8 @@ class BaseClient {
}
/*
Note: we update the user message to be sure it gets the calculated token count;
though `AskController` saves the user message, EditController does not
though `AgentController` saves the user message if not saved here
(noted by `savedMessageIds`), EditController does not
*/
await userMessagePromise;
await this.updateMessageInDatabase({
@@ -1093,6 +1131,50 @@ class BaseClient {
return numTokens;
}
/**
* Merges completion content with existing content when editing TEXT or THINK types
* @param {Array} existingContent - The existing content array
* @param {Array} newCompletion - The new completion content
* @param {string} editedType - The type of content being edited
* @returns {Array} The merged content array
*/
mergeEditedContent(existingContent, newCompletion, editedType) {
if (!newCompletion.length) {
return existingContent.concat(newCompletion);
}
if (editedType !== ContentTypes.TEXT && editedType !== ContentTypes.THINK) {
return existingContent.concat(newCompletion);
}
const lastIndex = existingContent.length - 1;
const lastExisting = existingContent[lastIndex];
const firstNew = newCompletion[0];
if (lastExisting?.type !== firstNew?.type || firstNew?.type !== editedType) {
return existingContent.concat(newCompletion);
}
const mergedContent = [...existingContent];
if (editedType === ContentTypes.TEXT) {
mergedContent[lastIndex] = {
...mergedContent[lastIndex],
[ContentTypes.TEXT]:
(mergedContent[lastIndex][ContentTypes.TEXT] || '') + (firstNew[ContentTypes.TEXT] || ''),
};
} else {
mergedContent[lastIndex] = {
...mergedContent[lastIndex],
[ContentTypes.THINK]:
(mergedContent[lastIndex][ContentTypes.THINK] || '') +
(firstNew[ContentTypes.THINK] || ''),
};
}
// Add remaining completion items
return mergedContent.concat(newCompletion.slice(1));
}
async sendPayload(payload, opts = {}) {
if (opts && typeof opts === 'object') {
this.setOptions(opts);

View File

@@ -1,804 +0,0 @@
const { Keyv } = require('keyv');
const crypto = require('crypto');
const { CohereClient } = require('cohere-ai');
const { fetchEventSource } = require('@waylaidwanderer/fetch-event-source');
const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
const {
ImageDetail,
EModelEndpoint,
resolveHeaders,
CohereConstants,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const { extractBaseURL, constructAzureURL, genAzureChatCompletion } = require('~/utils');
const { createContextHandlers } = require('./prompts');
const { createCoherePayload } = require('./llm');
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

@@ -1,6 +1,7 @@
const { google } = require('googleapis');
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');
@@ -11,15 +12,14 @@ 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 Tokenizer = require('~/server/services/Tokenizer');
const { spendTokens } = require('~/models/spendTokens');
const { getModelMaxTokens } = require('~/utils');
const { sleep } = require('~/server/utils');
@@ -34,7 +34,8 @@ const BaseClient = require('./BaseClient');
const loc = process.env.GOOGLE_LOC || 'us-central1';
const publisher = 'google';
const endpointPrefix = `${loc}-aiplatform.googleapis.com`;
const endpointPrefix =
loc === 'global' ? 'aiplatform.googleapis.com' : `${loc}-aiplatform.googleapis.com`;
const settings = endpointSettings[EModelEndpoint.google];
const EXCLUDED_GENAI_MODELS = /gemini-(?:1\.0|1-0|pro)/;
@@ -165,6 +166,16 @@ 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({
@@ -236,11 +247,11 @@ class GoogleClient extends BaseClient {
msg.content = (
!Array.isArray(msg.content)
? [
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: msg.content,
},
]
{
type: ContentTypes.TEXT,
[ContentTypes.TEXT]: msg.content,
},
]
: msg.content
).concat(message.image_urls);

View File

@@ -1,10 +1,11 @@
const { z } = require('zod');
const axios = require('axios');
const { Ollama } = require('ollama');
const { sleep } = require('@librechat/agents');
const { logAxiosError } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { Constants } = require('librechat-data-provider');
const { deriveBaseURL, logAxiosError } = require('~/utils');
const { sleep } = require('~/server/utils');
const { logger } = require('~/config');
const { deriveBaseURL } = require('~/utils');
const ollamaPayloadSchema = z.object({
mirostat: z.number().optional(),
@@ -67,7 +68,7 @@ class OllamaClient {
return models;
} catch (error) {
const logMessage =
'Failed to fetch models from Ollama API. If you are not using Ollama directly, and instead, through some aggregator or reverse proxy that handles fetching via OpenAI spec, ensure the name of the endpoint doesn\'t start with `ollama` (case-insensitive).';
"Failed to fetch models from Ollama API. If you are not using Ollama directly, and instead, through some aggregator or reverse proxy that handles fetching via OpenAI spec, ensure the name of the endpoint doesn't start with `ollama` (case-insensitive).";
logAxiosError({ message: logMessage, error });
return [];
}

View File

@@ -1,13 +1,21 @@
const { OllamaClient } = require('./OllamaClient');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { SplitStreamHandler, CustomOpenAIClient: OpenAI } = require('@librechat/agents');
const {
isEnabled,
Tokenizer,
createFetch,
resolveHeaders,
constructAzureURL,
genAzureChatCompletion,
createStreamEventHandlers,
} = require('@librechat/api');
const {
Constants,
ImageDetail,
ContentTypes,
parseTextParts,
EModelEndpoint,
resolveHeaders,
KnownEndpoints,
openAISettings,
ImageDetailCost,
@@ -16,13 +24,6 @@ const {
validateVisionModel,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const {
extractBaseURL,
constructAzureURL,
getModelMaxTokens,
genAzureChatCompletion,
getModelMaxOutputTokens,
} = require('~/utils');
const {
truncateText,
formatMessage,
@@ -30,14 +31,12 @@ const {
titleInstruction,
createContextHandlers,
} = require('./prompts');
const { extractBaseURL, getModelMaxTokens, getModelMaxOutputTokens } = require('~/utils');
const { encodeAndFormat } = require('~/server/services/Files/images/encode');
const { createFetch, createStreamEventHandlers } = require('./generators');
const { addSpaceIfNeeded, isEnabled, sleep } = require('~/server/utils');
const Tokenizer = require('~/server/services/Tokenizer');
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');
@@ -47,12 +46,6 @@ 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';
@@ -379,23 +372,12 @@ class OpenAIClient extends BaseClient {
return files;
}
async buildMessages(
messages,
parentMessageId,
{ isChatCompletion = false, promptPrefix = null },
opts,
) {
async buildMessages(messages, parentMessageId, { 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;
@@ -1159,6 +1141,7 @@ ${convo}
logger.debug('[OpenAIClient] chatCompletion', { baseURL, modelOptions });
const opts = {
baseURL,
fetchOptions: {},
};
if (this.useOpenRouter) {
@@ -1177,7 +1160,7 @@ ${convo}
}
if (this.options.proxy) {
opts.httpAgent = new HttpsProxyAgent(this.options.proxy);
opts.fetchOptions.agent = new HttpsProxyAgent(this.options.proxy);
}
/** @type {TAzureConfig | undefined} */
@@ -1395,7 +1378,7 @@ ${convo}
...modelOptions,
stream: true,
};
const stream = await openai.beta.chat.completions
const stream = await openai.chat.completions
.stream(params)
.on('abort', () => {
/* Do nothing here */

View File

@@ -1,542 +0,0 @@
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

@@ -1,71 +0,0 @@
const fetch = require('node-fetch');
const { GraphEvents } = require('@librechat/agents');
const { logger, sendEvent } = require('~/config');
const { sleep } = require('~/server/utils');
/**
* Makes a function to make HTTP request and logs the process.
* @param {Object} params
* @param {boolean} [params.directEndpoint] - Whether to use a direct endpoint.
* @param {string} [params.reverseProxyUrl] - The reverse proxy URL to use for the request.
* @returns {Promise<Response>} - A promise that resolves to the response of the fetch request.
*/
function createFetch({ directEndpoint = false, reverseProxyUrl = '' }) {
/**
* Makes an HTTP request and logs the process.
* @param {RequestInfo} url - The URL to make the request to. Can be a string or a Request object.
* @param {RequestInit} [init] - Optional init options for the request.
* @returns {Promise<Response>} - A promise that resolves to the response of the fetch request.
*/
return async (_url, init) => {
let url = _url;
if (directEndpoint) {
url = reverseProxyUrl;
}
logger.debug(`Making request to ${url}`);
if (typeof Bun !== 'undefined') {
return await fetch(url, init);
}
return await fetch(url, init);
};
}
// Add this at the module level outside the class
/**
* Creates event handlers for stream events that don't capture client references
* @param {Object} res - The response object to send events to
* @returns {Object} Object containing handler functions
*/
function createStreamEventHandlers(res) {
return {
[GraphEvents.ON_RUN_STEP]: (event) => {
if (res) {
sendEvent(res, event);
}
},
[GraphEvents.ON_MESSAGE_DELTA]: (event) => {
if (res) {
sendEvent(res, event);
}
},
[GraphEvents.ON_REASONING_DELTA]: (event) => {
if (res) {
sendEvent(res, event);
}
},
};
}
function createHandleLLMNewToken(streamRate) {
return async () => {
if (streamRate) {
await sleep(streamRate);
}
};
}
module.exports = {
createFetch,
createHandleLLMNewToken,
createStreamEventHandlers,
};

View File

@@ -1,15 +1,11 @@
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

@@ -1,6 +1,5 @@
const { ChatOpenAI } = require('@langchain/openai');
const { sanitizeModelName, constructAzureURL } = require('~/utils');
const { isEnabled } = require('~/server/utils');
const { isEnabled, sanitizeModelName, constructAzureURL } = require('@librechat/api');
/**
* Creates a new instance of a language model (LLM) for chat interactions.

View File

@@ -1,6 +1,7 @@
const axios = require('axios');
const { isEnabled } = require('~/server/utils');
const { logger } = require('~/config');
const { isEnabled } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { generateShortLivedToken } = require('~/server/services/AuthService');
const footer = `Use the context as your learned knowledge to better answer the user.
@@ -18,7 +19,7 @@ function createContextHandlers(req, userMessageContent) {
const queryPromises = [];
const processedFiles = [];
const processedIds = new Set();
const jwtToken = req.headers.authorization.split(' ')[1];
const jwtToken = generateShortLivedToken(req.user.id);
const useFullContext = isEnabled(process.env.RAG_USE_FULL_CONTEXT);
const query = async (file) => {
@@ -96,35 +97,35 @@ 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

@@ -237,41 +237,9 @@ const formatAgentMessages = (payload) => {
return messages;
};
/**
* Formats an array of messages for LangChain, making sure all content fields are strings
* @param {Array<(HumanMessage|AIMessage|SystemMessage|ToolMessage)>} payload - The array of messages to format.
* @returns {Array<(HumanMessage|AIMessage|SystemMessage|ToolMessage)>} - The array of formatted LangChain messages, including ToolMessages for tool calls.
*/
const formatContentStrings = (payload) => {
const messages = [];
for (const message of payload) {
if (typeof message.content === 'string') {
continue;
}
if (!Array.isArray(message.content)) {
continue;
}
// Reduce text types to a single string, ignore all other types
const content = message.content.reduce((acc, curr) => {
if (curr.type === ContentTypes.TEXT) {
return `${acc}${curr[ContentTypes.TEXT]}\n`;
}
return acc;
}, '');
message.content = content.trim();
}
return messages;
};
module.exports = {
formatMessage,
formatFromLangChain,
formatAgentMessages,
formatContentStrings,
formatLangChainMessages,
};

View File

@@ -309,7 +309,7 @@ describe('AnthropicClient', () => {
};
client.setOptions({ modelOptions, promptCache: true });
const anthropicClient = client.getClient(modelOptions);
expect(anthropicClient.defaultHeaders).not.toHaveProperty('anthropic-beta');
expect(anthropicClient._options.defaultHeaders).toBeUndefined();
});
it('should not add beta header for other models', () => {
@@ -320,7 +320,7 @@ describe('AnthropicClient', () => {
},
});
const anthropicClient = client.getClient();
expect(anthropicClient.defaultHeaders).not.toHaveProperty('anthropic-beta');
expect(anthropicClient._options.defaultHeaders).toBeUndefined();
});
});

View File

@@ -33,7 +33,9 @@ jest.mock('~/models', () => ({
const { getConvo, saveConvo } = require('~/models');
jest.mock('@librechat/agents', () => {
const { Providers } = jest.requireActual('@librechat/agents');
return {
Providers,
ChatOpenAI: jest.fn().mockImplementation(() => {
return {};
}),
@@ -420,6 +422,46 @@ describe('BaseClient', () => {
expect(response).toEqual(expectedResult);
});
test('should replace responseMessageId with new UUID when isRegenerate is true and messageId ends with underscore', async () => {
const mockCrypto = require('crypto');
const newUUID = 'new-uuid-1234';
jest.spyOn(mockCrypto, 'randomUUID').mockReturnValue(newUUID);
const opts = {
isRegenerate: true,
responseMessageId: 'existing-message-id_',
};
await TestClient.setMessageOptions(opts);
expect(TestClient.responseMessageId).toBe(newUUID);
expect(TestClient.responseMessageId).not.toBe('existing-message-id_');
mockCrypto.randomUUID.mockRestore();
});
test('should not replace responseMessageId when isRegenerate is false', async () => {
const opts = {
isRegenerate: false,
responseMessageId: 'existing-message-id_',
};
await TestClient.setMessageOptions(opts);
expect(TestClient.responseMessageId).toBe('existing-message-id_');
});
test('should not replace responseMessageId when it does not end with underscore', async () => {
const opts = {
isRegenerate: true,
responseMessageId: 'existing-message-id',
};
await TestClient.setMessageOptions(opts);
expect(TestClient.responseMessageId).toBe('existing-message-id');
});
test('sendMessage should work with provided conversationId and parentMessageId', async () => {
const userMessage = 'Second message in the conversation';
const opts = {

View File

@@ -531,44 +531,6 @@ 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

@@ -1,314 +0,0 @@
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

@@ -1,184 +0,0 @@
require('dotenv').config();
const fs = require('fs');
const { z } = require('zod');
const path = require('path');
const yaml = require('js-yaml');
const { createOpenAPIChain } = require('langchain/chains');
const { DynamicStructuredTool } = require('@langchain/core/tools');
const { ChatPromptTemplate, HumanMessagePromptTemplate } = require('@langchain/core/prompts');
const { logger } = require('~/config');
function addLinePrefix(text, prefix = '// ') {
return text
.split('\n')
.map((line) => prefix + line)
.join('\n');
}
function createPrompt(name, functions) {
const prefix = `// The ${name} tool has the following functions. Determine the desired or most optimal function for the user's query:`;
const functionDescriptions = functions
.map((func) => `// - ${func.name}: ${func.description}`)
.join('\n');
return `${prefix}\n${functionDescriptions}
// You are an expert manager and scrum master. You must provide a detailed intent to better execute the function.
// Always format as such: {{"func": "function_name", "intent": "intent and expected result"}}`;
}
const AuthBearer = z
.object({
type: z.string().includes('service_http'),
authorization_type: z.string().includes('bearer'),
verification_tokens: z.object({
openai: z.string(),
}),
})
.catch(() => false);
const AuthDefinition = z
.object({
type: z.string(),
authorization_type: z.string(),
verification_tokens: z.object({
openai: z.string(),
}),
})
.catch(() => false);
async function readSpecFile(filePath) {
try {
const fileContents = await fs.promises.readFile(filePath, 'utf8');
if (path.extname(filePath) === '.json') {
return JSON.parse(fileContents);
}
return yaml.load(fileContents);
} catch (e) {
logger.error('[readSpecFile] error', e);
return false;
}
}
async function getSpec(url) {
const RegularUrl = z
.string()
.url()
.catch(() => false);
if (RegularUrl.parse(url) && path.extname(url) === '.json') {
const response = await fetch(url);
return await response.json();
}
const ValidSpecPath = z
.string()
.url()
.catch(async () => {
const spec = path.join(__dirname, '..', '.well-known', 'openapi', url);
if (!fs.existsSync(spec)) {
return false;
}
return await readSpecFile(spec);
});
return ValidSpecPath.parse(url);
}
async function createOpenAPIPlugin({ data, llm, user, message, memory, signal }) {
let spec;
try {
spec = await getSpec(data.api.url);
} catch (error) {
logger.error('[createOpenAPIPlugin] getSpec error', error);
return null;
}
if (!spec) {
logger.warn('[createOpenAPIPlugin] No spec found');
return null;
}
const headers = {};
const { auth, name_for_model, description_for_model, description_for_human } = data;
if (auth && AuthDefinition.parse(auth)) {
logger.debug('[createOpenAPIPlugin] auth detected', auth);
const { openai } = auth.verification_tokens;
if (AuthBearer.parse(auth)) {
headers.authorization = `Bearer ${openai}`;
logger.debug('[createOpenAPIPlugin] added auth bearer', headers);
}
}
const chainOptions = { llm };
if (data.headers && data.headers['librechat_user_id']) {
logger.debug('[createOpenAPIPlugin] id detected', headers);
headers[data.headers['librechat_user_id']] = user;
}
if (Object.keys(headers).length > 0) {
logger.debug('[createOpenAPIPlugin] headers detected', headers);
chainOptions.headers = headers;
}
if (data.params) {
logger.debug('[createOpenAPIPlugin] params detected', data.params);
chainOptions.params = data.params;
}
let history = '';
if (memory) {
logger.debug('[createOpenAPIPlugin] openAPI chain: memory detected', memory);
const { history: chat_history } = await memory.loadMemoryVariables({});
history = chat_history?.length > 0 ? `\n\n## Chat History:\n${chat_history}\n` : '';
}
chainOptions.prompt = ChatPromptTemplate.fromMessages([
HumanMessagePromptTemplate.fromTemplate(
`# Use the provided API's to respond to this query:\n\n{query}\n\n## Instructions:\n${addLinePrefix(
description_for_model,
)}${history}`,
),
]);
const chain = await createOpenAPIChain(spec, chainOptions);
const { functions } = chain.chains[0].lc_kwargs.llmKwargs;
return new DynamicStructuredTool({
name: name_for_model,
description_for_model: `${addLinePrefix(description_for_human)}${createPrompt(
name_for_model,
functions,
)}`,
description: `${description_for_human}`,
schema: z.object({
func: z
.string()
.describe(
`The function to invoke. The functions available are: ${functions
.map((func) => func.name)
.join(', ')}`,
),
intent: z
.string()
.describe('Describe your intent with the function and your expected result'),
}),
func: async ({ func = '', intent = '' }) => {
const filteredFunctions = functions.filter((f) => f.name === func);
chain.chains[0].lc_kwargs.llmKwargs.functions = filteredFunctions;
const query = `${message}${func?.length > 0 ? `\n// Intent: ${intent}` : ''}`;
const result = await chain.call({
query,
signal,
});
return result.response;
},
});
}
module.exports = {
getSpec,
readSpecFile,
createOpenAPIPlugin,
};

View File

@@ -1,72 +0,0 @@
const fs = require('fs');
const { createOpenAPIPlugin, getSpec, readSpecFile } = require('./OpenAPIPlugin');
global.fetch = jest.fn().mockImplementationOnce(() => {
return new Promise((resolve) => {
resolve({
ok: true,
json: () => Promise.resolve({ key: 'value' }),
});
});
});
jest.mock('fs', () => ({
promises: {
readFile: jest.fn(),
},
existsSync: jest.fn(),
}));
describe('readSpecFile', () => {
it('reads JSON file correctly', async () => {
fs.promises.readFile.mockResolvedValue(JSON.stringify({ test: 'value' }));
const result = await readSpecFile('test.json');
expect(result).toEqual({ test: 'value' });
});
it('reads YAML file correctly', async () => {
fs.promises.readFile.mockResolvedValue('test: value');
const result = await readSpecFile('test.yaml');
expect(result).toEqual({ test: 'value' });
});
it('handles error correctly', async () => {
fs.promises.readFile.mockRejectedValue(new Error('test error'));
const result = await readSpecFile('test.json');
expect(result).toBe(false);
});
});
describe('getSpec', () => {
it('fetches spec from url correctly', async () => {
const parsedJson = await getSpec('https://www.instacart.com/.well-known/ai-plugin.json');
const isObject = typeof parsedJson === 'object';
expect(isObject).toEqual(true);
});
it('reads spec from file correctly', async () => {
fs.existsSync.mockReturnValue(true);
fs.promises.readFile.mockResolvedValue(JSON.stringify({ test: 'value' }));
const result = await getSpec('test.json');
expect(result).toEqual({ test: 'value' });
});
it('returns false when file does not exist', async () => {
fs.existsSync.mockReturnValue(false);
const result = await getSpec('test.json');
expect(result).toBe(false);
});
});
describe('createOpenAPIPlugin', () => {
it('returns null when getSpec throws an error', async () => {
const result = await createOpenAPIPlugin({ data: { api: { url: 'invalid' } } });
expect(result).toBe(null);
});
it('returns null when no spec is found', async () => {
const result = await createOpenAPIPlugin({});
expect(result).toBe(null);
});
// Add more tests here for different scenarios
});

View File

@@ -8,10 +8,10 @@ const { HttpsProxyAgent } = require('https-proxy-agent');
const { FileContext, ContentTypes } = require('librechat-data-provider');
const { getImageBasename } = require('~/server/services/Files/images');
const extractBaseURL = require('~/utils/extractBaseURL');
const { logger } = require('~/config');
const logger = require('~/config/winston');
const displayMessage =
'DALL-E displayed an image. All generated images are already plainly visible, so don\'t repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.';
"DALL-E displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
class DALLE3 extends Tool {
constructor(fields = {}) {
super();

View File

@@ -4,12 +4,13 @@ const { v4 } = require('uuid');
const OpenAI = require('openai');
const FormData = require('form-data');
const { tool } = require('@langchain/core/tools');
const { logAxiosError } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { ContentTypes, EImageOutputType } = require('librechat-data-provider');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { logAxiosError, extractBaseURL } = require('~/utils');
const { extractBaseURL } = require('~/utils');
const { getFiles } = require('~/models/File');
const { logger } = require('~/config');
/** Default descriptions for image generation tool */
const DEFAULT_IMAGE_GEN_DESCRIPTION = `
@@ -64,7 +65,7 @@ const DEFAULT_IMAGE_EDIT_PROMPT_DESCRIPTION = `Describe the changes, enhancement
Always base this prompt on the most recently uploaded reference images.`;
const displayMessage =
'The tool displayed an image. All generated images are already plainly visible, so don\'t repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.';
"The tool displayed an image. All generated images are already plainly visible, so don't repeat the descriptions in detail. Do not list download links as they are available in the UI already. The user may download the images by clicking on them, but do not mention anything about downloading to the user.";
/**
* Replaces unwanted characters from the input string
@@ -106,6 +107,12 @@ 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
@@ -200,10 +207,18 @@ function createOpenAIImageTools(fields = {}) {
}
let resp;
/** @type {AbortSignal} */
let derivedSignal = null;
/** @type {() => void} */
let abortHandler = null;
try {
const derivedSignal = runnableConfig?.signal
? AbortSignal.any([runnableConfig.signal])
: undefined;
if (runnableConfig?.signal) {
derivedSignal = AbortSignal.any([runnableConfig.signal]);
abortHandler = createAbortHandler();
derivedSignal.addEventListener('abort', abortHandler, { once: true });
}
resp = await openai.images.generate(
{
model: 'gpt-image-1',
@@ -227,6 +242,10 @@ 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) {
@@ -408,10 +427,17 @@ Error Message: ${error.message}`);
headers['Authorization'] = `Bearer ${apiKey}`;
}
/** @type {AbortSignal} */
let derivedSignal = null;
/** @type {() => void} */
let abortHandler = null;
try {
const derivedSignal = runnableConfig?.signal
? AbortSignal.any([runnableConfig.signal])
: undefined;
if (runnableConfig?.signal) {
derivedSignal = AbortSignal.any([runnableConfig.signal]);
abortHandler = createAbortHandler();
derivedSignal.addEventListener('abort', abortHandler, { once: true });
}
/** @type {import('axios').AxiosRequestConfig} */
const axiosConfig = {
@@ -466,6 +492,10 @@ 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 +1,29 @@
const OpenAI = require('openai');
const DALLE3 = require('../DALLE3');
const { logger } = require('~/config');
const logger = require('~/config/winston');
jest.mock('openai');
jest.mock('@librechat/data-schemas', () => {
return {
logger: {
info: jest.fn(),
warn: jest.fn(),
debug: jest.fn(),
error: jest.fn(),
},
};
});
jest.mock('tiktoken', () => {
return {
encoding_for_model: jest.fn().mockReturnValue({
encode: jest.fn(),
decode: jest.fn(),
}),
};
});
const processFileURL = jest.fn();
jest.mock('~/server/services/Files/images', () => ({
@@ -37,6 +56,11 @@ jest.mock('fs', () => {
return {
existsSync: jest.fn(),
mkdirSync: jest.fn(),
promises: {
writeFile: jest.fn(),
readFile: jest.fn(),
unlink: jest.fn(),
},
};
});

View File

@@ -1,26 +1,41 @@
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 { filterFilesByAgentAccess } = require('~/server/services/Files/permissions');
const { generateShortLivedToken } = require('~/server/services/AuthService');
const { getFiles } = require('~/models/File');
const { logger } = require('~/config');
/**
*
* @param {Object} options
* @param {ServerRequest} options.req
* @param {Agent['tool_resources']} options.tool_resources
* @param {string} [options.agentId] - The agent ID for file access control
* @returns {Promise<{
* files: Array<{ file_id: string; filename: string }>,
* toolContext: string
* }>}
*/
const primeFiles = async (options) => {
const { tool_resources } = options;
const { tool_resources, req, agentId } = options;
const file_ids = tool_resources?.[EToolResources.file_search]?.file_ids ?? [];
const agentResourceIds = new Set(file_ids);
const resourceFiles = tool_resources?.[EToolResources.file_search]?.files ?? [];
const dbFiles = ((await getFiles({ file_id: { $in: file_ids } })) ?? []).concat(resourceFiles);
// Get all files first
const allFiles = (await getFiles({ file_id: { $in: file_ids } }, null, { text: 0 })) ?? [];
// Filter by access if user and agent are provided
let dbFiles;
if (req?.user?.id && agentId) {
dbFiles = await filterFilesByAgentAccess(allFiles, req.user.id, agentId);
} else {
dbFiles = allFiles;
}
dbFiles = dbFiles.concat(resourceFiles);
let toolContext = `- Note: Semantic search is available through the ${Tools.file_search} tool but no files are currently loaded. Request the user to upload documents to search through.`;
@@ -59,7 +74,7 @@ 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 = req.headers.authorization.split(' ')[1];
const jwtToken = generateShortLivedToken(req.user.id);
if (!jwtToken) {
return 'There was an error authenticating the file search request.';
}
@@ -135,7 +150,7 @@ const createFileSearchTool = async ({ req, files, entity_id }) => {
query: z
.string()
.describe(
'A natural language query to search for relevant information in the files. Be specific and use keywords related to the information you\'re looking for. The query will be used for semantic similarity matching against the file contents.',
"A natural language query to search for relevant information in the files. Be specific and use keywords related to the information you're looking for. The query will be used for semantic similarity matching against the file contents.",
),
}),
},

View File

@@ -1,14 +1,9 @@
const { logger } = require('@librechat/data-schemas');
const { SerpAPI } = require('@langchain/community/tools/serpapi');
const { Calculator } = require('@langchain/community/tools/calculator');
const { mcpToolPattern, loadWebSearchAuth } = require('@librechat/api');
const { EnvVar, createCodeExecutionTool, createSearchTool } = require('@librechat/agents');
const {
Tools,
Constants,
EToolResources,
loadWebSearchAuth,
replaceSpecialVars,
} = require('librechat-data-provider');
const { getUserPluginAuthValue } = require('~/server/services/PluginService');
const { Tools, EToolResources, replaceSpecialVars } = require('librechat-data-provider');
const {
availableTools,
manifestToolMap,
@@ -28,11 +23,10 @@ const {
} = require('../');
const { primeFiles: primeCodeFiles } = require('~/server/services/Files/Code/process');
const { createFileSearchTool, primeFiles: primeSearchFiles } = require('./fileSearch');
const { getUserPluginAuthValue } = require('~/server/services/PluginService');
const { loadAuthValues } = require('~/server/services/Tools/credentials');
const { getCachedTools } = require('~/server/services/Config');
const { createMCPTool } = require('~/server/services/MCP');
const { logger } = require('~/config');
const mcpToolPattern = new RegExp(`^.+${Constants.mcp_delimiter}.+$`);
/**
* Validates the availability and authentication of tools for a user based on environment variables or user-specific plugin authentication values.
@@ -93,7 +87,7 @@ const validateTools = async (user, tools = []) => {
return Array.from(validToolsSet.values());
} catch (err) {
logger.error('[validateTools] There was a problem validating tools', err);
throw new Error('There was a problem validating tools');
throw new Error(err);
}
};
@@ -236,7 +230,7 @@ const loadTools = async ({
/** @type {Record<string, string>} */
const toolContextMap = {};
const appTools = options.req?.app?.locals?.availableTools ?? {};
const appTools = (await getCachedTools({ includeGlobal: true })) ?? {};
for (const tool of tools) {
if (tool === Tools.execute_code) {
@@ -246,7 +240,13 @@ const loadTools = async ({
authFields: [EnvVar.CODE_API_KEY],
});
const codeApiKey = authValues[EnvVar.CODE_API_KEY];
const { files, toolContext } = await primeCodeFiles(options, codeApiKey);
const { files, toolContext } = await primeCodeFiles(
{
...options,
agentId: agent?.id,
},
codeApiKey,
);
if (toolContext) {
toolContextMap[tool] = toolContext;
}
@@ -261,7 +261,10 @@ const loadTools = async ({
continue;
} else if (tool === Tools.file_search) {
requestedTools[tool] = async () => {
const { files, toolContext } = await primeSearchFiles(options);
const { files, toolContext } = await primeSearchFiles({
...options,
agentId: agent?.id,
});
if (toolContext) {
toolContextMap[tool] = toolContext;
}
@@ -299,6 +302,7 @@ Current Date & Time: ${replaceSpecialVars({ text: '{{iso_datetime}}' })}
requestedTools[tool] = async () =>
createMCPTool({
req: options.req,
res: options.res,
toolKey: tool,
model: agent?.model ?? model,
provider: agent?.provider ?? endpoint,

View File

@@ -1,8 +1,5 @@
const mockUser = {
_id: 'fakeId',
save: jest.fn(),
findByIdAndDelete: jest.fn(),
};
const mongoose = require('mongoose');
const { MongoMemoryServer } = require('mongodb-memory-server');
const mockPluginService = {
updateUserPluginAuth: jest.fn(),
@@ -10,29 +7,18 @@ const mockPluginService = {
getUserPluginAuthValue: jest.fn(),
};
const mockModels = {
User: mockUser,
};
jest.mock('~/db/connect', () => {
return {
connectDb: jest.fn(),
User: mockModels.mockUser,
};
});
jest.mock('~/models/File', () => ({
File: jest.fn(),
}));
jest.mock('~/server/services/PluginService', () => mockPluginService);
const { BaseLLM } = require('@langchain/openai');
const { Calculator } = require('@langchain/community/tools/calculator');
const { User } = require('~/db/models');
const PluginService = require('~/server/services/PluginService');
const { validateTools, loadTools, loadToolWithAuth } = require('./handleTools');
const { StructuredSD, availableTools, DALLE3 } = require('../');
describe('Tool Handlers', () => {
let mongoServer;
let fakeUser;
const pluginKey = 'dalle';
const pluginKey2 = 'wolfram';
@@ -43,7 +29,9 @@ describe('Tool Handlers', () => {
const authConfigs = mainPlugin.authConfig;
beforeAll(async () => {
mockUser.save.mockResolvedValue(undefined);
mongoServer = await MongoMemoryServer.create();
const mongoUri = mongoServer.getUri();
await mongoose.connect(mongoUri);
const userAuthValues = {};
mockPluginService.getUserPluginAuthValue.mockImplementation((userId, authField) => {
@@ -58,7 +46,7 @@ describe('Tool Handlers', () => {
},
);
fakeUser = await mockModels.User.createUser({
fakeUser = new User({
name: 'Fake User',
username: 'fakeuser',
email: 'fakeuser@example.com',
@@ -84,9 +72,36 @@ describe('Tool Handlers', () => {
});
afterAll(async () => {
await mockUser.findByIdAndDelete(fakeUser._id);
await mongoose.disconnect();
await mongoServer.stop();
});
beforeEach(async () => {
// Clear mocks but not the database since we need the user to persist
jest.clearAllMocks();
// Reset the mock implementations
const userAuthValues = {};
mockPluginService.getUserPluginAuthValue.mockImplementation((userId, authField) => {
return userAuthValues[`${userId}-${authField}`];
});
mockPluginService.updateUserPluginAuth.mockImplementation(
(userId, authField, _pluginKey, credential) => {
const fields = authField.split('||');
fields.forEach((field) => {
userAuthValues[`${userId}-${field}`] = credential;
});
},
);
// Re-add the auth configs for the user
for (const authConfig of authConfigs) {
await PluginService.deleteUserPluginAuth(fakeUser._id, authConfig.authField);
await PluginService.updateUserPluginAuth(
fakeUser._id,
authConfig.authField,
pluginKey,
mockCredential,
);
}
});

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@@ -1,7 +1,8 @@
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 ?? {};

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@@ -1,69 +1,28 @@
const mongoose = require('mongoose');
const { MongoMemoryServer } = require('mongodb-memory-server');
const banViolation = require('./banViolation');
const mockModels = {
Session: {
deleteAllUserSessions: jest.fn(),
},
};
jest.mock('~/db/connect', () => {
return {
connectDb: jest.fn(),
get models() {
return mockModels;
},
};
});
jest.mock('~/server/utils', () => ({
isEnabled: jest.fn(() => true), // default to false, override per test if needed
math: jest.fn(() => 20), // default to false, override per test if needed
removePorts: jest.fn(),
// Mock deleteAllUserSessions since we're testing ban logic, not session deletion
jest.mock('~/models', () => ({
...jest.requireActual('~/models'),
deleteAllUserSessions: jest.fn().mockResolvedValue(true),
}));
jest.mock('keyv');
// jest.mock('../models/Session');
// Mocking the getLogStores function
jest.mock('./getLogStores', () => {
return jest.fn().mockImplementation(() => {
const EventEmitter = require('events');
const { CacheKeys } = require('librechat-data-provider');
const math = require('../server/utils/math');
const mockGet = jest.fn();
const mockSet = jest.fn();
class KeyvMongo extends EventEmitter {
constructor(url = 'mongodb://127.0.0.1:27017', options) {
super();
this.ttlSupport = false;
url = url ?? {};
if (typeof url === 'string') {
url = { url };
}
if (url.uri) {
url = { url: url.uri, ...url };
}
this.opts = {
url,
collection: 'keyv',
...url,
...options,
};
}
get = mockGet;
set = mockSet;
}
return new KeyvMongo('', {
namespace: CacheKeys.BANS,
ttl: math(process.env.BAN_DURATION, 7200000),
});
});
});
describe('banViolation', () => {
let mongoServer;
let req, res, errorMessage;
beforeAll(async () => {
mongoServer = await MongoMemoryServer.create();
const mongoUri = mongoServer.getUri();
await mongoose.connect(mongoUri);
});
afterAll(async () => {
await mongoose.disconnect();
await mongoServer.stop();
});
beforeEach(() => {
req = {
ip: '127.0.0.1',
@@ -76,7 +35,7 @@ describe('banViolation', () => {
};
errorMessage = {
type: 'someViolation',
user_id: '12345',
user_id: new mongoose.Types.ObjectId().toString(), // Use valid ObjectId
prev_count: 0,
violation_count: 0,
};

33
api/cache/cacheConfig.js vendored Normal file
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@@ -0,0 +1,33 @@
const fs = require('fs');
const { math, isEnabled } = require('@librechat/api');
// To ensure that different deployments do not interfere with each other's cache, we use a prefix for the Redis keys.
// This prefix is usually the deployment ID, which is often passed to the container or pod as an env var.
// Set REDIS_KEY_PREFIX_VAR to the env var that contains the deployment ID.
const REDIS_KEY_PREFIX_VAR = process.env.REDIS_KEY_PREFIX_VAR;
const REDIS_KEY_PREFIX = process.env.REDIS_KEY_PREFIX;
if (REDIS_KEY_PREFIX_VAR && REDIS_KEY_PREFIX) {
throw new Error('Only either REDIS_KEY_PREFIX_VAR or REDIS_KEY_PREFIX can be set.');
}
const USE_REDIS = isEnabled(process.env.USE_REDIS);
if (USE_REDIS && !process.env.REDIS_URI) {
throw new Error('USE_REDIS is enabled but REDIS_URI is not set.');
}
const cacheConfig = {
USE_REDIS,
REDIS_URI: process.env.REDIS_URI,
REDIS_USERNAME: process.env.REDIS_USERNAME,
REDIS_PASSWORD: process.env.REDIS_PASSWORD,
REDIS_CA: process.env.REDIS_CA ? fs.readFileSync(process.env.REDIS_CA, 'utf8') : null,
REDIS_KEY_PREFIX: process.env[REDIS_KEY_PREFIX_VAR] || REDIS_KEY_PREFIX || '',
REDIS_MAX_LISTENERS: math(process.env.REDIS_MAX_LISTENERS, 40),
CI: isEnabled(process.env.CI),
DEBUG_MEMORY_CACHE: isEnabled(process.env.DEBUG_MEMORY_CACHE),
BAN_DURATION: math(process.env.BAN_DURATION, 7200000), // 2 hours
};
module.exports = { cacheConfig };

108
api/cache/cacheConfig.spec.js vendored Normal file
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@@ -0,0 +1,108 @@
const fs = require('fs');
describe('cacheConfig', () => {
let originalEnv;
let originalReadFileSync;
beforeEach(() => {
originalEnv = { ...process.env };
originalReadFileSync = fs.readFileSync;
// Clear all related env vars first
delete process.env.REDIS_URI;
delete process.env.REDIS_CA;
delete process.env.REDIS_KEY_PREFIX_VAR;
delete process.env.REDIS_KEY_PREFIX;
delete process.env.USE_REDIS;
// Clear require cache
jest.resetModules();
});
afterEach(() => {
process.env = originalEnv;
fs.readFileSync = originalReadFileSync;
jest.resetModules();
});
describe('REDIS_KEY_PREFIX validation and resolution', () => {
test('should throw error when both REDIS_KEY_PREFIX_VAR and REDIS_KEY_PREFIX are set', () => {
process.env.REDIS_KEY_PREFIX_VAR = 'DEPLOYMENT_ID';
process.env.REDIS_KEY_PREFIX = 'manual-prefix';
expect(() => {
require('./cacheConfig');
}).toThrow('Only either REDIS_KEY_PREFIX_VAR or REDIS_KEY_PREFIX can be set.');
});
test('should resolve REDIS_KEY_PREFIX from variable reference', () => {
process.env.REDIS_KEY_PREFIX_VAR = 'DEPLOYMENT_ID';
process.env.DEPLOYMENT_ID = 'test-deployment-123';
const { cacheConfig } = require('./cacheConfig');
expect(cacheConfig.REDIS_KEY_PREFIX).toBe('test-deployment-123');
});
test('should use direct REDIS_KEY_PREFIX value', () => {
process.env.REDIS_KEY_PREFIX = 'direct-prefix';
const { cacheConfig } = require('./cacheConfig');
expect(cacheConfig.REDIS_KEY_PREFIX).toBe('direct-prefix');
});
test('should default to empty string when no prefix is configured', () => {
const { cacheConfig } = require('./cacheConfig');
expect(cacheConfig.REDIS_KEY_PREFIX).toBe('');
});
test('should handle empty variable reference', () => {
process.env.REDIS_KEY_PREFIX_VAR = 'EMPTY_VAR';
process.env.EMPTY_VAR = '';
const { cacheConfig } = require('./cacheConfig');
expect(cacheConfig.REDIS_KEY_PREFIX).toBe('');
});
test('should handle undefined variable reference', () => {
process.env.REDIS_KEY_PREFIX_VAR = 'UNDEFINED_VAR';
const { cacheConfig } = require('./cacheConfig');
expect(cacheConfig.REDIS_KEY_PREFIX).toBe('');
});
});
describe('USE_REDIS and REDIS_URI validation', () => {
test('should throw error when USE_REDIS is enabled but REDIS_URI is not set', () => {
process.env.USE_REDIS = 'true';
expect(() => {
require('./cacheConfig');
}).toThrow('USE_REDIS is enabled but REDIS_URI is not set.');
});
test('should not throw error when USE_REDIS is enabled and REDIS_URI is set', () => {
process.env.USE_REDIS = 'true';
process.env.REDIS_URI = 'redis://localhost:6379';
expect(() => {
require('./cacheConfig');
}).not.toThrow();
});
test('should handle empty REDIS_URI when USE_REDIS is enabled', () => {
process.env.USE_REDIS = 'true';
process.env.REDIS_URI = '';
expect(() => {
require('./cacheConfig');
}).toThrow('USE_REDIS is enabled but REDIS_URI is not set.');
});
});
describe('REDIS_CA file reading', () => {
test('should be null when REDIS_CA is not set', () => {
const { cacheConfig } = require('./cacheConfig');
expect(cacheConfig.REDIS_CA).toBeNull();
});
});
});

66
api/cache/cacheFactory.js vendored Normal file
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@@ -0,0 +1,66 @@
const KeyvRedis = require('@keyv/redis').default;
const { Keyv } = require('keyv');
const { cacheConfig } = require('./cacheConfig');
const { keyvRedisClient, ioredisClient, GLOBAL_PREFIX_SEPARATOR } = require('./redisClients');
const { Time } = require('librechat-data-provider');
const { RedisStore: ConnectRedis } = require('connect-redis');
const MemoryStore = require('memorystore')(require('express-session'));
const { violationFile } = require('./keyvFiles');
const { RedisStore } = require('rate-limit-redis');
/**
* Creates a cache instance using Redis or a fallback store. Suitable for general caching needs.
* @param {string} namespace - The cache namespace.
* @param {number} [ttl] - Time to live for cache entries.
* @param {object} [fallbackStore] - Optional fallback store if Redis is not used.
* @returns {Keyv} Cache instance.
*/
const standardCache = (namespace, ttl = undefined, fallbackStore = undefined) => {
if (cacheConfig.USE_REDIS) {
const keyvRedis = new KeyvRedis(keyvRedisClient);
const cache = new Keyv(keyvRedis, { namespace, ttl });
keyvRedis.namespace = cacheConfig.REDIS_KEY_PREFIX;
keyvRedis.keyPrefixSeparator = GLOBAL_PREFIX_SEPARATOR;
return cache;
}
if (fallbackStore) return new Keyv({ store: fallbackStore, namespace, ttl });
return new Keyv({ namespace, ttl });
};
/**
* Creates a cache instance for storing violation data.
* Uses a file-based fallback store if Redis is not enabled.
* @param {string} namespace - The cache namespace for violations.
* @param {number} [ttl] - Time to live for cache entries.
* @returns {Keyv} Cache instance for violations.
*/
const violationCache = (namespace, ttl = undefined) => {
return standardCache(`violations:${namespace}`, ttl, violationFile);
};
/**
* Creates a session cache instance using Redis or in-memory store.
* @param {string} namespace - The session namespace.
* @param {number} [ttl] - Time to live for session entries.
* @returns {MemoryStore | ConnectRedis} Session store instance.
*/
const sessionCache = (namespace, ttl = undefined) => {
namespace = namespace.endsWith(':') ? namespace : `${namespace}:`;
if (!cacheConfig.USE_REDIS) return new MemoryStore({ ttl, checkPeriod: Time.ONE_DAY });
return new ConnectRedis({ client: ioredisClient, ttl, prefix: namespace });
};
/**
* Creates a rate limiter cache using Redis.
* @param {string} prefix - The key prefix for rate limiting.
* @returns {RedisStore|undefined} RedisStore instance or undefined if Redis is not used.
*/
const limiterCache = (prefix) => {
if (!prefix) throw new Error('prefix is required');
if (!cacheConfig.USE_REDIS) return undefined;
prefix = prefix.endsWith(':') ? prefix : `${prefix}:`;
return new RedisStore({ sendCommand, prefix });
};
const sendCommand = (...args) => ioredisClient?.call(...args);
module.exports = { standardCache, sessionCache, violationCache, limiterCache };

270
api/cache/cacheFactory.spec.js vendored Normal file
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@@ -0,0 +1,270 @@
const { Time } = require('librechat-data-provider');
// Mock dependencies first
const mockKeyvRedis = {
namespace: '',
keyPrefixSeparator: '',
};
const mockKeyv = jest.fn().mockReturnValue({ mock: 'keyv' });
const mockConnectRedis = jest.fn().mockReturnValue({ mock: 'connectRedis' });
const mockMemoryStore = jest.fn().mockReturnValue({ mock: 'memoryStore' });
const mockRedisStore = jest.fn().mockReturnValue({ mock: 'redisStore' });
const mockIoredisClient = {
call: jest.fn(),
};
const mockKeyvRedisClient = {};
const mockViolationFile = {};
// Mock modules before requiring the main module
jest.mock('@keyv/redis', () => ({
default: jest.fn().mockImplementation(() => mockKeyvRedis),
}));
jest.mock('keyv', () => ({
Keyv: mockKeyv,
}));
jest.mock('./cacheConfig', () => ({
cacheConfig: {
USE_REDIS: false,
REDIS_KEY_PREFIX: 'test',
},
}));
jest.mock('./redisClients', () => ({
keyvRedisClient: mockKeyvRedisClient,
ioredisClient: mockIoredisClient,
GLOBAL_PREFIX_SEPARATOR: '::',
}));
jest.mock('./keyvFiles', () => ({
violationFile: mockViolationFile,
}));
jest.mock('connect-redis', () => ({ RedisStore: mockConnectRedis }));
jest.mock('memorystore', () => jest.fn(() => mockMemoryStore));
jest.mock('rate-limit-redis', () => ({
RedisStore: mockRedisStore,
}));
// Import after mocking
const { standardCache, sessionCache, violationCache, limiterCache } = require('./cacheFactory');
const { cacheConfig } = require('./cacheConfig');
describe('cacheFactory', () => {
beforeEach(() => {
jest.clearAllMocks();
// Reset cache config mock
cacheConfig.USE_REDIS = false;
cacheConfig.REDIS_KEY_PREFIX = 'test';
});
describe('redisCache', () => {
it('should create Redis cache when USE_REDIS is true', () => {
cacheConfig.USE_REDIS = true;
const namespace = 'test-namespace';
const ttl = 3600;
standardCache(namespace, ttl);
expect(require('@keyv/redis').default).toHaveBeenCalledWith(mockKeyvRedisClient);
expect(mockKeyv).toHaveBeenCalledWith(mockKeyvRedis, { namespace, ttl });
expect(mockKeyvRedis.namespace).toBe(cacheConfig.REDIS_KEY_PREFIX);
expect(mockKeyvRedis.keyPrefixSeparator).toBe('::');
});
it('should create Redis cache with undefined ttl when not provided', () => {
cacheConfig.USE_REDIS = true;
const namespace = 'test-namespace';
standardCache(namespace);
expect(mockKeyv).toHaveBeenCalledWith(mockKeyvRedis, { namespace, ttl: undefined });
});
it('should use fallback store when USE_REDIS is false and fallbackStore is provided', () => {
cacheConfig.USE_REDIS = false;
const namespace = 'test-namespace';
const ttl = 3600;
const fallbackStore = { some: 'store' };
standardCache(namespace, ttl, fallbackStore);
expect(mockKeyv).toHaveBeenCalledWith({ store: fallbackStore, namespace, ttl });
});
it('should create default Keyv instance when USE_REDIS is false and no fallbackStore', () => {
cacheConfig.USE_REDIS = false;
const namespace = 'test-namespace';
const ttl = 3600;
standardCache(namespace, ttl);
expect(mockKeyv).toHaveBeenCalledWith({ namespace, ttl });
});
it('should handle namespace and ttl as undefined', () => {
cacheConfig.USE_REDIS = false;
standardCache();
expect(mockKeyv).toHaveBeenCalledWith({ namespace: undefined, ttl: undefined });
});
});
describe('violationCache', () => {
it('should create violation cache with prefixed namespace', () => {
const namespace = 'test-violations';
const ttl = 7200;
// We can't easily mock the internal redisCache call since it's in the same module
// But we can test that the function executes without throwing
expect(() => violationCache(namespace, ttl)).not.toThrow();
});
it('should create violation cache with undefined ttl', () => {
const namespace = 'test-violations';
violationCache(namespace);
// The function should call redisCache with violations: prefixed namespace
// Since we can't easily mock the internal redisCache call, we test the behavior
expect(() => violationCache(namespace)).not.toThrow();
});
it('should handle undefined namespace', () => {
expect(() => violationCache(undefined)).not.toThrow();
});
});
describe('sessionCache', () => {
it('should return MemoryStore when USE_REDIS is false', () => {
cacheConfig.USE_REDIS = false;
const namespace = 'sessions';
const ttl = 86400;
const result = sessionCache(namespace, ttl);
expect(mockMemoryStore).toHaveBeenCalledWith({ ttl, checkPeriod: Time.ONE_DAY });
expect(result).toBe(mockMemoryStore());
});
it('should return ConnectRedis when USE_REDIS is true', () => {
cacheConfig.USE_REDIS = true;
const namespace = 'sessions';
const ttl = 86400;
const result = sessionCache(namespace, ttl);
expect(mockConnectRedis).toHaveBeenCalledWith({
client: mockIoredisClient,
ttl,
prefix: `${namespace}:`,
});
expect(result).toBe(mockConnectRedis());
});
it('should add colon to namespace if not present', () => {
cacheConfig.USE_REDIS = true;
const namespace = 'sessions';
sessionCache(namespace);
expect(mockConnectRedis).toHaveBeenCalledWith({
client: mockIoredisClient,
ttl: undefined,
prefix: 'sessions:',
});
});
it('should not add colon to namespace if already present', () => {
cacheConfig.USE_REDIS = true;
const namespace = 'sessions:';
sessionCache(namespace);
expect(mockConnectRedis).toHaveBeenCalledWith({
client: mockIoredisClient,
ttl: undefined,
prefix: 'sessions:',
});
});
it('should handle undefined ttl', () => {
cacheConfig.USE_REDIS = false;
const namespace = 'sessions';
sessionCache(namespace);
expect(mockMemoryStore).toHaveBeenCalledWith({
ttl: undefined,
checkPeriod: Time.ONE_DAY,
});
});
});
describe('limiterCache', () => {
it('should return undefined when USE_REDIS is false', () => {
cacheConfig.USE_REDIS = false;
const result = limiterCache('prefix');
expect(result).toBeUndefined();
});
it('should return RedisStore when USE_REDIS is true', () => {
cacheConfig.USE_REDIS = true;
const result = limiterCache('rate-limit');
expect(mockRedisStore).toHaveBeenCalledWith({
sendCommand: expect.any(Function),
prefix: `rate-limit:`,
});
expect(result).toBe(mockRedisStore());
});
it('should add colon to prefix if not present', () => {
cacheConfig.USE_REDIS = true;
limiterCache('rate-limit');
expect(mockRedisStore).toHaveBeenCalledWith({
sendCommand: expect.any(Function),
prefix: 'rate-limit:',
});
});
it('should not add colon to prefix if already present', () => {
cacheConfig.USE_REDIS = true;
limiterCache('rate-limit:');
expect(mockRedisStore).toHaveBeenCalledWith({
sendCommand: expect.any(Function),
prefix: 'rate-limit:',
});
});
it('should pass sendCommand function that calls ioredisClient.call', () => {
cacheConfig.USE_REDIS = true;
limiterCache('rate-limit');
const sendCommandCall = mockRedisStore.mock.calls[0][0];
const sendCommand = sendCommandCall.sendCommand;
// Test that sendCommand properly delegates to ioredisClient.call
const args = ['GET', 'test-key'];
sendCommand(...args);
expect(mockIoredisClient.call).toHaveBeenCalledWith(...args);
});
it('should handle undefined prefix', () => {
cacheConfig.USE_REDIS = true;
expect(() => limiterCache()).toThrow('prefix is required');
});
});
});

View File

@@ -1,108 +1,52 @@
const { cacheConfig } = require('./cacheConfig');
const { Keyv } = require('keyv');
const { CacheKeys, ViolationTypes, Time } = require('librechat-data-provider');
const { logFile, violationFile } = require('./keyvFiles');
const { math, isEnabled } = require('~/server/utils');
const keyvRedis = require('./keyvRedis');
const { logFile } = require('./keyvFiles');
const keyvMongo = require('./keyvMongo');
const { BAN_DURATION, USE_REDIS, DEBUG_MEMORY_CACHE, CI } = process.env ?? {};
const duration = math(BAN_DURATION, 7200000);
const isRedisEnabled = isEnabled(USE_REDIS);
const debugMemoryCache = isEnabled(DEBUG_MEMORY_CACHE);
const createViolationInstance = (namespace) => {
const config = isRedisEnabled ? { store: keyvRedis } : { store: violationFile, namespace };
return new Keyv(config);
};
// Serve cache from memory so no need to clear it on startup/exit
const pending_req = isRedisEnabled
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: CacheKeys.PENDING_REQ });
const config = isRedisEnabled
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: CacheKeys.CONFIG_STORE });
const roles = isRedisEnabled
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: CacheKeys.ROLES });
const audioRuns = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.TEN_MINUTES })
: new Keyv({ namespace: CacheKeys.AUDIO_RUNS, ttl: Time.TEN_MINUTES });
const messages = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.ONE_MINUTE })
: new Keyv({ namespace: CacheKeys.MESSAGES, ttl: Time.ONE_MINUTE });
const flows = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.TWO_MINUTES })
: new Keyv({ namespace: CacheKeys.FLOWS, ttl: Time.ONE_MINUTE * 3 });
const tokenConfig = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.THIRTY_MINUTES })
: new Keyv({ namespace: CacheKeys.TOKEN_CONFIG, ttl: Time.THIRTY_MINUTES });
const genTitle = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.TWO_MINUTES })
: new Keyv({ namespace: CacheKeys.GEN_TITLE, ttl: Time.TWO_MINUTES });
const s3ExpiryInterval = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.THIRTY_MINUTES })
: new Keyv({ namespace: CacheKeys.S3_EXPIRY_INTERVAL, ttl: Time.THIRTY_MINUTES });
const modelQueries = isEnabled(process.env.USE_REDIS)
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: CacheKeys.MODEL_QUERIES });
const abortKeys = isRedisEnabled
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: CacheKeys.ABORT_KEYS, ttl: Time.TEN_MINUTES });
const openIdExchangedTokensCache = isRedisEnabled
? new Keyv({ store: keyvRedis, ttl: Time.TEN_MINUTES })
: new Keyv({ namespace: CacheKeys.OPENID_EXCHANGED_TOKENS, ttl: Time.TEN_MINUTES });
const { standardCache, sessionCache, violationCache } = require('./cacheFactory');
const namespaces = {
[CacheKeys.ROLES]: roles,
[CacheKeys.CONFIG_STORE]: config,
[CacheKeys.PENDING_REQ]: pending_req,
[ViolationTypes.BAN]: new Keyv({ store: keyvMongo, namespace: CacheKeys.BANS, ttl: duration }),
[CacheKeys.ENCODED_DOMAINS]: new Keyv({
[ViolationTypes.GENERAL]: new Keyv({ store: logFile, namespace: 'violations' }),
[ViolationTypes.LOGINS]: violationCache(ViolationTypes.LOGINS),
[ViolationTypes.CONCURRENT]: violationCache(ViolationTypes.CONCURRENT),
[ViolationTypes.NON_BROWSER]: violationCache(ViolationTypes.NON_BROWSER),
[ViolationTypes.MESSAGE_LIMIT]: violationCache(ViolationTypes.MESSAGE_LIMIT),
[ViolationTypes.REGISTRATIONS]: violationCache(ViolationTypes.REGISTRATIONS),
[ViolationTypes.TOKEN_BALANCE]: violationCache(ViolationTypes.TOKEN_BALANCE),
[ViolationTypes.TTS_LIMIT]: violationCache(ViolationTypes.TTS_LIMIT),
[ViolationTypes.STT_LIMIT]: violationCache(ViolationTypes.STT_LIMIT),
[ViolationTypes.CONVO_ACCESS]: violationCache(ViolationTypes.CONVO_ACCESS),
[ViolationTypes.TOOL_CALL_LIMIT]: violationCache(ViolationTypes.TOOL_CALL_LIMIT),
[ViolationTypes.FILE_UPLOAD_LIMIT]: violationCache(ViolationTypes.FILE_UPLOAD_LIMIT),
[ViolationTypes.VERIFY_EMAIL_LIMIT]: violationCache(ViolationTypes.VERIFY_EMAIL_LIMIT),
[ViolationTypes.RESET_PASSWORD_LIMIT]: violationCache(ViolationTypes.RESET_PASSWORD_LIMIT),
[ViolationTypes.ILLEGAL_MODEL_REQUEST]: violationCache(ViolationTypes.ILLEGAL_MODEL_REQUEST),
[ViolationTypes.BAN]: new Keyv({
store: keyvMongo,
namespace: CacheKeys.ENCODED_DOMAINS,
ttl: 0,
namespace: CacheKeys.BANS,
ttl: cacheConfig.BAN_DURATION,
}),
general: new Keyv({ store: logFile, namespace: 'violations' }),
concurrent: createViolationInstance('concurrent'),
non_browser: createViolationInstance('non_browser'),
message_limit: createViolationInstance('message_limit'),
token_balance: createViolationInstance(ViolationTypes.TOKEN_BALANCE),
registrations: createViolationInstance('registrations'),
[ViolationTypes.TTS_LIMIT]: createViolationInstance(ViolationTypes.TTS_LIMIT),
[ViolationTypes.STT_LIMIT]: createViolationInstance(ViolationTypes.STT_LIMIT),
[ViolationTypes.CONVO_ACCESS]: createViolationInstance(ViolationTypes.CONVO_ACCESS),
[ViolationTypes.TOOL_CALL_LIMIT]: createViolationInstance(ViolationTypes.TOOL_CALL_LIMIT),
[ViolationTypes.FILE_UPLOAD_LIMIT]: createViolationInstance(ViolationTypes.FILE_UPLOAD_LIMIT),
[ViolationTypes.VERIFY_EMAIL_LIMIT]: createViolationInstance(ViolationTypes.VERIFY_EMAIL_LIMIT),
[ViolationTypes.RESET_PASSWORD_LIMIT]: createViolationInstance(
ViolationTypes.RESET_PASSWORD_LIMIT,
[CacheKeys.OPENID_SESSION]: sessionCache(CacheKeys.OPENID_SESSION),
[CacheKeys.SAML_SESSION]: sessionCache(CacheKeys.SAML_SESSION),
[CacheKeys.ROLES]: standardCache(CacheKeys.ROLES),
[CacheKeys.MCP_TOOLS]: standardCache(CacheKeys.MCP_TOOLS),
[CacheKeys.CONFIG_STORE]: standardCache(CacheKeys.CONFIG_STORE),
[CacheKeys.PENDING_REQ]: standardCache(CacheKeys.PENDING_REQ),
[CacheKeys.ENCODED_DOMAINS]: new Keyv({ store: keyvMongo, namespace: CacheKeys.ENCODED_DOMAINS }),
[CacheKeys.ABORT_KEYS]: standardCache(CacheKeys.ABORT_KEYS, Time.TEN_MINUTES),
[CacheKeys.TOKEN_CONFIG]: standardCache(CacheKeys.TOKEN_CONFIG, Time.THIRTY_MINUTES),
[CacheKeys.GEN_TITLE]: standardCache(CacheKeys.GEN_TITLE, Time.TWO_MINUTES),
[CacheKeys.S3_EXPIRY_INTERVAL]: standardCache(CacheKeys.S3_EXPIRY_INTERVAL, Time.THIRTY_MINUTES),
[CacheKeys.MODEL_QUERIES]: standardCache(CacheKeys.MODEL_QUERIES),
[CacheKeys.AUDIO_RUNS]: standardCache(CacheKeys.AUDIO_RUNS, Time.TEN_MINUTES),
[CacheKeys.MESSAGES]: standardCache(CacheKeys.MESSAGES, Time.ONE_MINUTE),
[CacheKeys.FLOWS]: standardCache(CacheKeys.FLOWS, Time.ONE_MINUTE * 3),
[CacheKeys.OPENID_EXCHANGED_TOKENS]: standardCache(
CacheKeys.OPENID_EXCHANGED_TOKENS,
Time.TEN_MINUTES,
),
[ViolationTypes.ILLEGAL_MODEL_REQUEST]: createViolationInstance(
ViolationTypes.ILLEGAL_MODEL_REQUEST,
),
logins: createViolationInstance('logins'),
[CacheKeys.ABORT_KEYS]: abortKeys,
[CacheKeys.TOKEN_CONFIG]: tokenConfig,
[CacheKeys.GEN_TITLE]: genTitle,
[CacheKeys.S3_EXPIRY_INTERVAL]: s3ExpiryInterval,
[CacheKeys.MODEL_QUERIES]: modelQueries,
[CacheKeys.AUDIO_RUNS]: audioRuns,
[CacheKeys.MESSAGES]: messages,
[CacheKeys.FLOWS]: flows,
[CacheKeys.OPENID_EXCHANGED_TOKENS]: openIdExchangedTokensCache,
};
/**
@@ -111,7 +55,10 @@ const namespaces = {
*/
function getTTLStores() {
return Object.values(namespaces).filter(
(store) => store instanceof Keyv && typeof store.opts?.ttl === 'number' && store.opts.ttl > 0,
(store) =>
store instanceof Keyv &&
parseInt(store.opts?.ttl ?? '0') > 0 &&
!store.opts?.store?.constructor?.name?.includes('Redis'), // Only include non-Redis stores
);
}
@@ -147,18 +94,18 @@ async function clearExpiredFromCache(cache) {
if (data?.expires && data.expires <= expiryTime) {
const deleted = await cache.opts.store.delete(key);
if (!deleted) {
debugMemoryCache &&
cacheConfig.DEBUG_MEMORY_CACHE &&
console.warn(`[Cache] Error deleting entry: ${key} from ${cache.opts.namespace}`);
continue;
}
cleared++;
}
} catch (error) {
debugMemoryCache &&
cacheConfig.DEBUG_MEMORY_CACHE &&
console.log(`[Cache] Error processing entry from ${cache.opts.namespace}:`, error);
const deleted = await cache.opts.store.delete(key);
if (!deleted) {
debugMemoryCache &&
cacheConfig.DEBUG_MEMORY_CACHE &&
console.warn(`[Cache] Error deleting entry: ${key} from ${cache.opts.namespace}`);
continue;
}
@@ -167,7 +114,7 @@ async function clearExpiredFromCache(cache) {
}
if (cleared > 0) {
debugMemoryCache &&
cacheConfig.DEBUG_MEMORY_CACHE &&
console.log(
`[Cache] Cleared ${cleared} entries older than ${ttl}ms from ${cache.opts.namespace}`,
);
@@ -208,7 +155,7 @@ async function clearAllExpiredFromCache() {
}
}
if (!isRedisEnabled && !isEnabled(CI)) {
if (!cacheConfig.USE_REDIS && !cacheConfig.CI) {
/** @type {Set<NodeJS.Timeout>} */
const cleanupIntervals = new Set();
@@ -219,7 +166,7 @@ if (!isRedisEnabled && !isEnabled(CI)) {
cleanupIntervals.add(cleanup);
if (debugMemoryCache) {
if (cacheConfig.DEBUG_MEMORY_CACHE) {
const monitor = setInterval(() => {
const ttlStores = getTTLStores();
const memory = process.memoryUsage();
@@ -240,13 +187,13 @@ if (!isRedisEnabled && !isEnabled(CI)) {
}
const dispose = () => {
debugMemoryCache && console.log('[Cache] Cleaning up and shutting down...');
cacheConfig.DEBUG_MEMORY_CACHE && console.log('[Cache] Cleaning up and shutting down...');
cleanupIntervals.forEach((interval) => clearInterval(interval));
cleanupIntervals.clear();
// One final cleanup before exit
clearAllExpiredFromCache().then(() => {
debugMemoryCache && console.log('[Cache] Final cleanup completed');
cacheConfig.DEBUG_MEMORY_CACHE && console.log('[Cache] Final cleanup completed');
process.exit(0);
});
};

View File

@@ -1,92 +0,0 @@
const fs = require('fs');
const Redis = require('ioredis');
const { isEnabled } = require('~/server/utils');
const logger = require('~/config/winston');
const { REDIS_URI, USE_REDIS, USE_REDIS_CLUSTER, REDIS_CA, REDIS_MAX_LISTENERS } = process.env;
/** @type {import('ioredis').Redis | import('ioredis').Cluster} */
let ioredisClient;
const redis_max_listeners = Number(REDIS_MAX_LISTENERS) || 40;
function mapURI(uri) {
const regex =
/^(?:(?<scheme>\w+):\/\/)?(?:(?<user>[^:@]+)(?::(?<password>[^@]+))?@)?(?<host>[\w.-]+)(?::(?<port>\d{1,5}))?$/;
const match = uri.match(regex);
if (match) {
const { scheme, user, password, host, port } = match.groups;
return {
scheme: scheme || 'none',
user: user || null,
password: password || null,
host: host || null,
port: port || null,
};
} else {
const parts = uri.split(':');
if (parts.length === 2) {
return {
scheme: 'none',
user: null,
password: null,
host: parts[0],
port: parts[1],
};
}
return {
scheme: 'none',
user: null,
password: null,
host: uri,
port: null,
};
}
}
if (REDIS_URI && isEnabled(USE_REDIS)) {
let redisOptions = null;
if (REDIS_CA) {
const ca = fs.readFileSync(REDIS_CA);
redisOptions = { tls: { ca } };
}
if (isEnabled(USE_REDIS_CLUSTER)) {
const hosts = REDIS_URI.split(',').map((item) => {
var value = mapURI(item);
return {
host: value.host,
port: value.port,
};
});
ioredisClient = new Redis.Cluster(hosts, { redisOptions });
} else {
ioredisClient = new Redis(REDIS_URI, redisOptions);
}
ioredisClient.on('ready', () => {
logger.info('IoRedis connection ready');
});
ioredisClient.on('reconnecting', () => {
logger.info('IoRedis connection reconnecting');
});
ioredisClient.on('end', () => {
logger.info('IoRedis connection ended');
});
ioredisClient.on('close', () => {
logger.info('IoRedis connection closed');
});
ioredisClient.on('error', (err) => logger.error('IoRedis connection error:', err));
ioredisClient.setMaxListeners(redis_max_listeners);
logger.info(
'[Optional] IoRedis initialized for rate limiters. If you have issues, disable Redis or restart the server.',
);
} else {
logger.info('[Optional] IoRedis not initialized for rate limiters.');
}
module.exports = ioredisClient;

109
api/cache/keyvRedis.js vendored
View File

@@ -1,109 +0,0 @@
const fs = require('fs');
const ioredis = require('ioredis');
const KeyvRedis = require('@keyv/redis').default;
const { isEnabled } = require('~/server/utils');
const logger = require('~/config/winston');
const { REDIS_URI, USE_REDIS, USE_REDIS_CLUSTER, REDIS_CA, REDIS_KEY_PREFIX, REDIS_MAX_LISTENERS } =
process.env;
let keyvRedis;
const redis_prefix = REDIS_KEY_PREFIX || '';
const redis_max_listeners = Number(REDIS_MAX_LISTENERS) || 40;
function mapURI(uri) {
const regex =
/^(?:(?<scheme>\w+):\/\/)?(?:(?<user>[^:@]+)(?::(?<password>[^@]+))?@)?(?<host>[\w.-]+)(?::(?<port>\d{1,5}))?$/;
const match = uri.match(regex);
if (match) {
const { scheme, user, password, host, port } = match.groups;
return {
scheme: scheme || 'none',
user: user || null,
password: password || null,
host: host || null,
port: port || null,
};
} else {
const parts = uri.split(':');
if (parts.length === 2) {
return {
scheme: 'none',
user: null,
password: null,
host: parts[0],
port: parts[1],
};
}
return {
scheme: 'none',
user: null,
password: null,
host: uri,
port: null,
};
}
}
if (REDIS_URI && isEnabled(USE_REDIS)) {
let redisOptions = null;
/** @type {import('@keyv/redis').KeyvRedisOptions} */
let keyvOpts = {
useRedisSets: false,
keyPrefix: redis_prefix,
};
if (REDIS_CA) {
const ca = fs.readFileSync(REDIS_CA);
redisOptions = { tls: { ca } };
}
if (isEnabled(USE_REDIS_CLUSTER)) {
const hosts = REDIS_URI.split(',').map((item) => {
var value = mapURI(item);
return {
host: value.host,
port: value.port,
};
});
const cluster = new ioredis.Cluster(hosts, { redisOptions });
keyvRedis = new KeyvRedis(cluster, keyvOpts);
} else {
keyvRedis = new KeyvRedis(REDIS_URI, keyvOpts);
}
const pingInterval = setInterval(
() => {
logger.debug('KeyvRedis ping');
keyvRedis.client.ping().catch((err) => logger.error('Redis keep-alive ping failed:', err));
},
5 * 60 * 1000,
);
keyvRedis.on('ready', () => {
logger.info('KeyvRedis connection ready');
});
keyvRedis.on('reconnecting', () => {
logger.info('KeyvRedis connection reconnecting');
});
keyvRedis.on('end', () => {
logger.info('KeyvRedis connection ended');
});
keyvRedis.on('close', () => {
clearInterval(pingInterval);
logger.info('KeyvRedis connection closed');
});
keyvRedis.on('error', (err) => logger.error('KeyvRedis connection error:', err));
keyvRedis.setMaxListeners(redis_max_listeners);
logger.info(
'[Optional] Redis initialized. If you have issues, or seeing older values, disable it or flush cache to refresh values.',
);
} else {
logger.info('[Optional] Redis not initialized.');
}
module.exports = keyvRedis;

View File

@@ -1,4 +1,5 @@
const { isEnabled } = require('~/server/utils');
const { ViolationTypes } = require('librechat-data-provider');
const getLogStores = require('./getLogStores');
const banViolation = require('./banViolation');
@@ -9,14 +10,14 @@ const banViolation = require('./banViolation');
* @param {Object} res - Express response object.
* @param {string} type - The type of violation.
* @param {Object} errorMessage - The error message to log.
* @param {number} [score=1] - The severity of the violation. Defaults to 1
* @param {number | string} [score=1] - The severity of the violation. Defaults to 1
*/
const logViolation = async (req, res, type, errorMessage, score = 1) => {
const userId = req.user?.id ?? req.user?._id;
if (!userId) {
return;
}
const logs = getLogStores('general');
const logs = getLogStores(ViolationTypes.GENERAL);
const violationLogs = getLogStores(type);
const key = isEnabled(process.env.USE_REDIS) ? `${type}:${userId}` : userId;

57
api/cache/redisClients.js vendored Normal file
View File

@@ -0,0 +1,57 @@
const IoRedis = require('ioredis');
const { cacheConfig } = require('./cacheConfig');
const { createClient, createCluster } = require('@keyv/redis');
const GLOBAL_PREFIX_SEPARATOR = '::';
const urls = cacheConfig.REDIS_URI?.split(',').map((uri) => new URL(uri));
const username = urls?.[0].username || cacheConfig.REDIS_USERNAME;
const password = urls?.[0].password || cacheConfig.REDIS_PASSWORD;
const ca = cacheConfig.REDIS_CA;
/** @type {import('ioredis').Redis | import('ioredis').Cluster | null} */
let ioredisClient = null;
if (cacheConfig.USE_REDIS) {
const redisOptions = {
username: username,
password: password,
tls: ca ? { ca } : undefined,
keyPrefix: `${cacheConfig.REDIS_KEY_PREFIX}${GLOBAL_PREFIX_SEPARATOR}`,
maxListeners: cacheConfig.REDIS_MAX_LISTENERS,
};
ioredisClient =
urls.length === 1
? new IoRedis(cacheConfig.REDIS_URI, redisOptions)
: new IoRedis.Cluster(cacheConfig.REDIS_URI, { redisOptions });
// Pinging the Redis server every 5 minutes to keep the connection alive
const pingInterval = setInterval(() => ioredisClient.ping(), 5 * 60 * 1000);
ioredisClient.on('close', () => clearInterval(pingInterval));
ioredisClient.on('end', () => clearInterval(pingInterval));
}
/** @type {import('@keyv/redis').RedisClient | import('@keyv/redis').RedisCluster | null} */
let keyvRedisClient = null;
if (cacheConfig.USE_REDIS) {
// ** WARNING ** Keyv Redis client does not support Prefix like ioredis above.
// The prefix feature will be handled by the Keyv-Redis store in cacheFactory.js
const redisOptions = { username, password, socket: { tls: ca != null, ca } };
keyvRedisClient =
urls.length === 1
? createClient({ url: cacheConfig.REDIS_URI, ...redisOptions })
: createCluster({
rootNodes: cacheConfig.REDIS_URI.split(',').map((url) => ({ url })),
defaults: redisOptions,
});
keyvRedisClient.setMaxListeners(cacheConfig.REDIS_MAX_LISTENERS);
// Pinging the Redis server every 5 minutes to keep the connection alive
const keyvPingInterval = setInterval(() => keyvRedisClient.ping(), 5 * 60 * 1000);
keyvRedisClient.on('disconnect', () => clearInterval(keyvPingInterval));
keyvRedisClient.on('end', () => clearInterval(keyvPingInterval));
}
module.exports = { ioredisClient, keyvRedisClient, GLOBAL_PREFIX_SEPARATOR };

View File

@@ -1,7 +1,6 @@
const axios = require('axios');
const { EventSource } = require('eventsource');
const { Time, CacheKeys } = require('librechat-data-provider');
const { MCPManager, FlowStateManager } = require('librechat-mcp');
const { Time } = require('librechat-data-provider');
const { MCPManager, FlowStateManager } = require('@librechat/api');
const logger = require('./winston');
global.EventSource = EventSource;
@@ -16,7 +15,7 @@ let flowManager = null;
*/
function getMCPManager(userId) {
if (!mcpManager) {
mcpManager = MCPManager.getInstance(logger);
mcpManager = MCPManager.getInstance();
} else {
mcpManager.checkIdleConnections(userId);
}
@@ -31,66 +30,13 @@ function getFlowStateManager(flowsCache) {
if (!flowManager) {
flowManager = new FlowStateManager(flowsCache, {
ttl: Time.ONE_MINUTE * 3,
logger,
});
}
return flowManager;
}
/**
* Sends message data in Server Sent Events format.
* @param {ServerResponse} res - The server response.
* @param {{ data: string | Record<string, unknown>, event?: string }} event - The message event.
* @param {string} event.event - The type of event.
* @param {string} event.data - The message to be sent.
*/
const sendEvent = (res, event) => {
if (typeof event.data === 'string' && event.data.length === 0) {
return;
}
res.write(`event: message\ndata: ${JSON.stringify(event)}\n\n`);
};
/**
* Creates and configures an Axios instance with optional proxy settings.
*
* @typedef {import('axios').AxiosInstance} AxiosInstance
* @typedef {import('axios').AxiosProxyConfig} AxiosProxyConfig
*
* @returns {AxiosInstance} A configured Axios instance
* @throws {Error} If there's an issue creating the Axios instance or parsing the proxy URL
*/
function createAxiosInstance() {
const instance = axios.create();
if (process.env.proxy) {
try {
const url = new URL(process.env.proxy);
/** @type {AxiosProxyConfig} */
const proxyConfig = {
host: url.hostname.replace(/^\[|\]$/g, ''),
protocol: url.protocol.replace(':', ''),
};
if (url.port) {
proxyConfig.port = parseInt(url.port, 10);
}
instance.defaults.proxy = proxyConfig;
} catch (error) {
console.error('Error parsing proxy URL:', error);
throw new Error(`Invalid proxy URL: ${process.env.proxy}`);
}
}
return instance;
}
module.exports = {
logger,
sendEvent,
getMCPManager,
createAxiosInstance,
getFlowStateManager,
};

View File

@@ -1,8 +1,11 @@
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;
@@ -28,43 +31,123 @@ 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;
}
try {
const client = MeiliSearchClient.getInstance();
const { status } = await client.health();
if (status !== 'available') {
throw new Error('Meilisearch not available');
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();
}
if (indexingDisabled === true) {
logger.info('[indexSync] Indexing is disabled, skipping...');
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');
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

@@ -3,6 +3,7 @@ module.exports = {
clearMocks: true,
roots: ['<rootDir>'],
coverageDirectory: 'coverage',
testTimeout: 30000, // 30 seconds timeout for all tests
setupFiles: [
'./test/jestSetup.js',
'./test/__mocks__/logger.js',

View File

@@ -1,5 +1,4 @@
const mongoose = require('mongoose');
const Action = require('~/db/models').Action;
const { Action } = require('~/db/models');
/**
* Update an action with new data without overwriting existing properties,

View File

@@ -4,17 +4,19 @@ 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;
// Default category value for new agents
const {
getProjectByName,
addAgentIdsToProject,
removeAgentIdsFromProject,
removeAgentFromAllProjects,
} = require('./Project');
const getLogStores = require('~/cache/getLogStores');
const { getActions } = require('./Action');
const { getCachedTools } = require('~/server/services/Config');
const Agent = require('~/db/models').Agent;
// Category values are now imported from shared constants
// Schema fields (category, support_contact, is_promoted) are defined in @librechat/data-schemas
const { getActions } = require('./Action');
const { Agent } = require('~/db/models');
/**
* Create an agent with the provided data.
@@ -23,7 +25,7 @@ const Agent = require('~/db/models').Agent;
* @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,
@@ -34,7 +36,9 @@ const createAgent = async (agentData) => {
updatedAt: timestamp,
},
],
category: agentData.category || 'general',
};
return (await Agent.create(initialAgentData)).toObject();
};
@@ -56,12 +60,12 @@ const getAgent = async (searchParameter) => await Agent.findOne(searchParameter)
* @param {string} params.agent_id
* @param {string} params.endpoint
* @param {import('@librechat/agents').ClientOptions} [params.model_parameters]
* @returns {Agent|null} The agent document as a plain object, or null if not found.
* @returns {Promise<Agent|null>} The agent document as a plain object, or null if not found.
*/
const loadEphemeralAgent = ({ req, agent_id, endpoint, model_parameters: _m }) => {
const loadEphemeralAgent = async ({ req, agent_id, endpoint, model_parameters: _m }) => {
const { model, ...model_parameters } = _m;
/** @type {Record<string, FunctionTool>} */
const availableTools = req.app.locals.availableTools;
const availableTools = await getCachedTools({ includeGlobal: true });
/** @type {TEphemeralAgent | null} */
const ephemeralAgent = req.body.ephemeralAgent;
const mcpServers = new Set(ephemeralAgent?.mcp);
@@ -70,6 +74,9 @@ const loadEphemeralAgent = ({ req, agent_id, endpoint, model_parameters: _m }) =
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);
}
@@ -87,7 +94,7 @@ const loadEphemeralAgent = ({ req, agent_id, endpoint, model_parameters: _m }) =
}
const instructions = req.body.promptPrefix;
return {
const result = {
id: agent_id,
instructions,
provider: endpoint,
@@ -95,6 +102,11 @@ const loadEphemeralAgent = ({ req, agent_id, endpoint, model_parameters: _m }) =
model,
tools,
};
if (ephemeralAgent?.artifacts != null && ephemeralAgent.artifacts) {
result.artifacts = ephemeralAgent.artifacts;
}
return result;
};
/**
@@ -112,7 +124,7 @@ const loadAgent = async ({ req, agent_id, endpoint, model_parameters }) => {
return null;
}
if (agent_id === EPHEMERAL_AGENT_ID) {
return loadEphemeralAgent({ req, agent_id, endpoint, model_parameters });
return await loadEphemeralAgent({ req, agent_id, endpoint, model_parameters });
}
const agent = await getAgent({
id: agent_id,
@@ -123,29 +135,7 @@ 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;
};
/**
@@ -171,12 +161,11 @@ const isDuplicateVersion = (updateData, currentData, versions, actionsHash = nul
'created_at',
'updated_at',
'__v',
'agent_ids',
'versions',
'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;
@@ -195,54 +184,116 @@ const isDuplicateVersion = (updateData, currentData, versions, actionsHash = nul
let isMatch = true;
for (const field of importantFields) {
if (!wouldBeVersion[field] && !lastVersion[field]) {
const wouldBeValue = wouldBeVersion[field];
const lastVersionValue = lastVersion[field];
// Skip if both are undefined/null
if (!wouldBeValue && !lastVersionValue) {
continue;
}
if (Array.isArray(wouldBeVersion[field]) && Array.isArray(lastVersion[field])) {
if (wouldBeVersion[field].length !== lastVersion[field].length) {
// Handle arrays
if (Array.isArray(wouldBeValue) || Array.isArray(lastVersionValue)) {
// Normalize: treat undefined/null as empty array for comparison
let wouldBeArr;
if (Array.isArray(wouldBeValue)) {
wouldBeArr = wouldBeValue;
} else if (wouldBeValue == null) {
wouldBeArr = [];
} else {
wouldBeArr = [wouldBeValue];
}
let lastVersionArr;
if (Array.isArray(lastVersionValue)) {
lastVersionArr = lastVersionValue;
} else if (lastVersionValue == null) {
lastVersionArr = [];
} else {
lastVersionArr = [lastVersionValue];
}
if (wouldBeArr.length !== lastVersionArr.length) {
isMatch = false;
break;
}
// Special handling for projectIds (MongoDB ObjectIds)
if (field === 'projectIds') {
const wouldBeIds = wouldBeVersion[field].map((id) => id.toString()).sort();
const versionIds = lastVersion[field].map((id) => id.toString()).sort();
const wouldBeIds = wouldBeArr.map((id) => id.toString()).sort();
const versionIds = lastVersionArr.map((id) => id.toString()).sort();
if (!wouldBeIds.every((id, i) => id === versionIds[i])) {
isMatch = false;
break;
}
}
// Handle arrays of objects like tool_kwargs
else if (typeof wouldBeVersion[field][0] === 'object' && wouldBeVersion[field][0] !== null) {
const sortedWouldBe = [...wouldBeVersion[field]].map((item) => JSON.stringify(item)).sort();
const sortedVersion = [...lastVersion[field]].map((item) => JSON.stringify(item)).sort();
// Handle arrays of objects
else if (
wouldBeArr.length > 0 &&
typeof wouldBeArr[0] === 'object' &&
wouldBeArr[0] !== null
) {
const sortedWouldBe = [...wouldBeArr].map((item) => JSON.stringify(item)).sort();
const sortedVersion = [...lastVersionArr].map((item) => JSON.stringify(item)).sort();
if (!sortedWouldBe.every((item, i) => item === sortedVersion[i])) {
isMatch = false;
break;
}
} else {
const sortedWouldBe = [...wouldBeVersion[field]].sort();
const sortedVersion = [...lastVersion[field]].sort();
const sortedWouldBe = [...wouldBeArr].sort();
const sortedVersion = [...lastVersionArr].sort();
if (!sortedWouldBe.every((item, i) => item === sortedVersion[i])) {
isMatch = false;
break;
}
}
} else if (field === 'model_parameters') {
const wouldBeParams = wouldBeVersion[field] || {};
const lastVersionParams = lastVersion[field] || {};
if (JSON.stringify(wouldBeParams) !== JSON.stringify(lastVersionParams)) {
}
// Handle objects
else if (typeof wouldBeValue === 'object' && wouldBeValue !== null) {
const lastVersionObj =
typeof lastVersionValue === 'object' && lastVersionValue !== null ? lastVersionValue : {};
// For empty objects, normalize the comparison
const wouldBeKeys = Object.keys(wouldBeValue);
const lastVersionKeys = Object.keys(lastVersionObj);
// If both are empty objects, they're equal
if (wouldBeKeys.length === 0 && lastVersionKeys.length === 0) {
continue;
}
// Otherwise do a deep comparison
if (JSON.stringify(wouldBeValue) !== JSON.stringify(lastVersionObj)) {
isMatch = false;
break;
}
}
// Handle primitive values
else {
// For primitives, handle the case where one is undefined and the other is a default value
if (wouldBeValue !== lastVersionValue) {
// Special handling for boolean false vs undefined
if (
typeof wouldBeValue === 'boolean' &&
wouldBeValue === false &&
lastVersionValue === undefined
) {
continue;
}
// Special handling for empty string vs undefined
if (
typeof wouldBeValue === 'string' &&
wouldBeValue === '' &&
lastVersionValue === undefined
) {
continue;
}
isMatch = false;
break;
}
} else if (wouldBeVersion[field] !== lastVersion[field]) {
isMatch = false;
break;
}
}
@@ -261,16 +312,24 @@ const isDuplicateVersion = (updateData, currentData, versions, actionsHash = nul
* @param {Object} [options] - Optional configuration object.
* @param {string} [options.updatingUserId] - The ID of the user performing the update (used for tracking non-author updates).
* @param {boolean} [options.forceVersion] - Force creation of a new version even if no fields changed.
* @param {boolean} [options.skipVersioning] - Skip version creation entirely (useful for isolated operations like sharing).
* @returns {Promise<Agent>} The updated or newly created agent document as a plain object.
* @throws {Error} If the update would create a duplicate version
*/
const updateAgent = async (searchParameter, updateData, options = {}) => {
const { updatingUserId = null, forceVersion = false } = options;
const { updatingUserId = null, forceVersion = false, skipVersioning = false } = options;
const mongoOptions = { new: true, upsert: false };
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;
@@ -302,10 +361,8 @@ const updateAgent = async (searchParameter, updateData, options = {}) => {
}
const shouldCreateVersion =
forceVersion ||
(versions &&
versions.length > 0 &&
(Object.keys(directUpdates).length > 0 || $push || $pull || $addToSet));
!skipVersioning &&
(forceVersion || Object.keys(directUpdates).length > 0 || $push || $pull || $addToSet);
if (shouldCreateVersion) {
const duplicateVersion = isDuplicateVersion(updateData, versionData, versions, actionsHash);
@@ -340,7 +397,7 @@ const updateAgent = async (searchParameter, updateData, options = {}) => {
versionEntry.updatedBy = new mongoose.Types.ObjectId(updatingUserId);
}
if (shouldCreateVersion || forceVersion) {
if (shouldCreateVersion) {
updateData.$push = {
...($push || {}),
versions: versionEntry,
@@ -463,8 +520,113 @@ 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: { $gt: new mongoose.Types.ObjectId(_id) } },
],
};
// Merge cursor condition with base query
if (Object.keys(baseQuery).length > 0) {
baseQuery.$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,
category: 1,
support_contact: 1,
is_promoted: 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.
@@ -483,13 +645,15 @@ 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,
category: 1,
}).lean()
).map((agent) => {
if (agent.author?.toString() !== author) {
@@ -551,7 +715,10 @@ const updateAgentProjects = async ({ user, agentId, projectIds, removeProjectIds
delete updateQuery.author;
}
const updatedAgent = await updateAgent(updateQuery, updateOps, { updatingUserId: user.id });
const updatedAgent = await updateAgent(updateQuery, updateOps, {
updatingUserId: user.id,
skipVersioning: true,
});
if (updatedAgent) {
return updatedAgent;
}
@@ -652,6 +819,14 @@ const generateActionMetadataHash = async (actionIds, actions) => {
return hashHex;
};
/**
* Counts the number of promoted agents.
* @returns {Promise<number>} - The count of promoted agents
*/
const countPromotedAgents = async () => {
const count = await Agent.countDocuments({ is_promoted: true });
return count;
};
/**
* Load a default agent based on the endpoint
@@ -669,6 +844,8 @@ module.exports = {
revertAgentVersion,
updateAgentProjects,
addAgentResourceFile,
getListAgentsByAccess,
removeAgentResourceFiles,
generateActionMetadataHash,
countPromotedAgents,
};

File diff suppressed because it is too large Load Diff

View File

@@ -1,5 +1,4 @@
const mongoose = require('mongoose');
const Assistant = require('~/db/models').Assistant;
const { Assistant } = require('~/db/models');
/**
* Update an assistant with new data without overwriting existing properties,

View File

@@ -1,7 +1,5 @@
const mongoose = require('mongoose');
const { logger } = require('@librechat/data-schemas');
const Banner = require('~/db/models').Banner;
const { Banner } = require('~/db/models');
/**
* Retrieves the current active banner.

View File

@@ -1,8 +1,8 @@
const mongoose = require('mongoose');
const { logger } = require('@librechat/data-schemas');
const { createTempChatExpirationDate } = require('@librechat/api');
const getCustomConfig = require('~/server/services/Config/getCustomConfig');
const { getMessages, deleteMessages } = require('./Message');
const Conversation = require('~/db/models').Conversation;
const { Conversation } = require('~/db/models');
/**
* Searches for a conversation by conversationId and returns a lean document with only conversationId and user.
@@ -100,10 +100,15 @@ module.exports = {
update.conversationId = newConversationId;
}
if (req.body.isTemporary) {
const expiredAt = new Date();
expiredAt.setDate(expiredAt.getDate() + 30);
update.expiredAt = expiredAt;
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;
}
} else {
update.expiredAt = null;
}

View File

@@ -1,8 +1,5 @@
const mongoose = require('mongoose');
const { logger } = require('@librechat/data-schemas');
const ConversationTag = require('~/db/models').ConversationTag;
const Conversation = require('~/db/models').Conversation;
const { ConversationTag, Conversation } = require('~/db/models');
/**
* Retrieves all conversation tags for a user.

View File

@@ -1,8 +1,6 @@
const mongoose = require('mongoose');
const { logger } = require('@librechat/data-schemas');
const { EToolResources } = require('librechat-data-provider');
const File = require('~/db/models').File;
const { EToolResources, FileContext } = require('librechat-data-provider');
const { File } = require('~/db/models');
/**
* Finds a file by its file_id with additional query options.
@@ -34,19 +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) {
if (!fileIds || !fileIds.length || !toolResourceSet?.size) {
return [];
}
try {
const filter = {
file_id: { $in: fileIds },
$or: [],
};
if (toolResourceSet.size) {
filter.$or = [];
if (toolResourceSet.has(EToolResources.ocr)) {
filter.$or.push({ text: { $exists: true, $ne: null }, context: FileContext.agents });
}
if (toolResourceSet.has(EToolResources.file_search)) {
filter.$or.push({ embedded: true });
}

375
api/models/File.spec.js Normal file
View File

@@ -0,0 +1,375 @@
const mongoose = require('mongoose');
const { v4: uuidv4 } = require('uuid');
const { MongoMemoryServer } = require('mongodb-memory-server');
const { createModels } = require('@librechat/data-schemas');
const { getFiles, createFile } = require('./File');
const { createAgent } = require('./Agent');
const { grantPermission } = require('~/server/services/PermissionService');
const { seedDefaultRoles } = require('~/models');
let File;
let Agent;
let AclEntry;
let User;
let AccessRole;
let modelsToCleanup = [];
describe('File Access Control', () => {
let mongoServer;
beforeAll(async () => {
mongoServer = await MongoMemoryServer.create();
const mongoUri = mongoServer.getUri();
await mongoose.connect(mongoUri);
// Initialize all models
const models = createModels(mongoose);
// Track which models we're adding
modelsToCleanup = Object.keys(models);
// Register models on mongoose.models so methods can access them
const dbModels = require('~/db/models');
Object.assign(mongoose.models, dbModels);
File = dbModels.File;
Agent = dbModels.Agent;
AclEntry = dbModels.AclEntry;
User = dbModels.User;
AccessRole = dbModels.AccessRole;
// Seed default roles
await seedDefaultRoles();
});
afterAll(async () => {
// Clean up all collections before disconnecting
const collections = mongoose.connection.collections;
for (const key in collections) {
await collections[key].deleteMany({});
}
// Clear only the models we added
for (const modelName of modelsToCleanup) {
if (mongoose.models[modelName]) {
delete mongoose.models[modelName];
}
}
await mongoose.disconnect();
await mongoServer.stop();
});
beforeEach(async () => {
await File.deleteMany({});
await Agent.deleteMany({});
await AclEntry.deleteMany({});
await User.deleteMany({});
// Don't delete AccessRole as they are seeded defaults needed for tests
});
describe('hasAccessToFilesViaAgent', () => {
it('should efficiently check access for multiple files at once', async () => {
const userId = new mongoose.Types.ObjectId();
const authorId = new mongoose.Types.ObjectId();
const agentId = uuidv4();
const fileIds = [uuidv4(), uuidv4(), uuidv4(), uuidv4()];
// Create users
await User.create({
_id: userId,
email: 'user@example.com',
emailVerified: true,
provider: 'local',
});
await User.create({
_id: authorId,
email: 'author@example.com',
emailVerified: true,
provider: 'local',
});
// Create files
for (const fileId of fileIds) {
await createFile({
user: authorId,
file_id: fileId,
filename: `file-${fileId}.txt`,
filepath: `/uploads/${fileId}`,
});
}
// Create agent with only first two files attached
const agent = await createAgent({
id: agentId,
name: 'Test Agent',
author: authorId,
model: 'gpt-4',
provider: 'openai',
tool_resources: {
file_search: {
file_ids: [fileIds[0], fileIds[1]],
},
},
});
// Grant EDIT permission to user on the agent
await grantPermission({
principalType: 'user',
principalId: userId,
resourceType: 'agent',
resourceId: agent._id,
accessRoleId: 'agent_editor',
grantedBy: authorId,
});
// Check access for all files
const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
const accessMap = await hasAccessToFilesViaAgent(userId.toString(), fileIds, agentId);
// Should have access only to the first two files
expect(accessMap.get(fileIds[0])).toBe(true);
expect(accessMap.get(fileIds[1])).toBe(true);
expect(accessMap.get(fileIds[2])).toBe(false);
expect(accessMap.get(fileIds[3])).toBe(false);
});
it('should grant access to all files when user is the agent author', async () => {
const authorId = new mongoose.Types.ObjectId();
const agentId = uuidv4();
const fileIds = [uuidv4(), uuidv4(), uuidv4()];
// Create author user
await User.create({
_id: authorId,
email: 'author@example.com',
emailVerified: true,
provider: 'local',
});
// Create agent
const agent = await createAgent({
id: agentId,
name: 'Test Agent',
author: authorId,
model: 'gpt-4',
provider: 'openai',
tool_resources: {
file_search: {
file_ids: [fileIds[0]], // Only one file attached
},
},
});
// Check access as the author
const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
const accessMap = await hasAccessToFilesViaAgent(authorId.toString(), fileIds, agentId);
// Author should have access to all files
expect(accessMap.get(fileIds[0])).toBe(true);
expect(accessMap.get(fileIds[1])).toBe(true);
expect(accessMap.get(fileIds[2])).toBe(true);
});
it('should handle non-existent agent gracefully', async () => {
const userId = new mongoose.Types.ObjectId();
const fileIds = [uuidv4(), uuidv4()];
// Create user
await User.create({
_id: userId,
email: 'user@example.com',
emailVerified: true,
provider: 'local',
});
const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
const accessMap = await hasAccessToFilesViaAgent(
userId.toString(),
fileIds,
'non-existent-agent',
);
// Should have no access to any files
expect(accessMap.get(fileIds[0])).toBe(false);
expect(accessMap.get(fileIds[1])).toBe(false);
});
it('should deny access when user only has VIEW permission', async () => {
const userId = new mongoose.Types.ObjectId();
const authorId = new mongoose.Types.ObjectId();
const agentId = uuidv4();
const fileIds = [uuidv4(), uuidv4()];
// Create users
await User.create({
_id: userId,
email: 'user@example.com',
emailVerified: true,
provider: 'local',
});
await User.create({
_id: authorId,
email: 'author@example.com',
emailVerified: true,
provider: 'local',
});
// Create agent with files
const agent = await createAgent({
id: agentId,
name: 'View-Only Agent',
author: authorId,
model: 'gpt-4',
provider: 'openai',
tool_resources: {
file_search: {
file_ids: fileIds,
},
},
});
// Grant only VIEW permission to user on the agent
await grantPermission({
principalType: 'user',
principalId: userId,
resourceType: 'agent',
resourceId: agent._id,
accessRoleId: 'agent_viewer',
grantedBy: authorId,
});
// Check access for files
const { hasAccessToFilesViaAgent } = require('~/server/services/Files/permissions');
const accessMap = await hasAccessToFilesViaAgent(userId.toString(), fileIds, agentId);
// Should have no access to any files when only VIEW permission
expect(accessMap.get(fileIds[0])).toBe(false);
expect(accessMap.get(fileIds[1])).toBe(false);
});
});
describe('getFiles with agent access control', () => {
test('should return files owned by user and files accessible through agent', async () => {
const authorId = new mongoose.Types.ObjectId();
const userId = new mongoose.Types.ObjectId();
const agentId = `agent_${uuidv4()}`;
const ownedFileId = `file_${uuidv4()}`;
const sharedFileId = `file_${uuidv4()}`;
const inaccessibleFileId = `file_${uuidv4()}`;
// Create users
await User.create({
_id: userId,
email: 'user@example.com',
emailVerified: true,
provider: 'local',
});
await User.create({
_id: authorId,
email: 'author@example.com',
emailVerified: true,
provider: 'local',
});
// Create agent with shared file
const agent = await createAgent({
id: agentId,
name: 'Shared Agent',
provider: 'test',
model: 'test-model',
author: authorId,
tool_resources: {
file_search: {
file_ids: [sharedFileId],
},
},
});
// Grant EDIT permission to user on the agent
await grantPermission({
principalType: 'user',
principalId: userId,
resourceType: 'agent',
resourceId: agent._id,
accessRoleId: 'agent_editor',
grantedBy: authorId,
});
// Create files
await createFile({
file_id: ownedFileId,
user: userId,
filename: 'owned.txt',
filepath: '/uploads/owned.txt',
type: 'text/plain',
bytes: 100,
});
await createFile({
file_id: sharedFileId,
user: authorId,
filename: 'shared.txt',
filepath: '/uploads/shared.txt',
type: 'text/plain',
bytes: 200,
embedded: true,
});
await createFile({
file_id: inaccessibleFileId,
user: authorId,
filename: 'inaccessible.txt',
filepath: '/uploads/inaccessible.txt',
type: 'text/plain',
bytes: 300,
});
// Get all files first
const allFiles = await getFiles(
{ file_id: { $in: [ownedFileId, sharedFileId, inaccessibleFileId] } },
null,
{ text: 0 },
);
// Then filter by access control
const { filterFilesByAgentAccess } = require('~/server/services/Files/permissions');
const files = await filterFilesByAgentAccess(allFiles, userId.toString(), agentId);
expect(files).toHaveLength(2);
expect(files.map((f) => f.file_id)).toContain(ownedFileId);
expect(files.map((f) => f.file_id)).toContain(sharedFileId);
expect(files.map((f) => f.file_id)).not.toContain(inaccessibleFileId);
});
test('should return all files when no userId/agentId provided', async () => {
const userId = new mongoose.Types.ObjectId();
const fileId1 = `file_${uuidv4()}`;
const fileId2 = `file_${uuidv4()}`;
await createFile({
file_id: fileId1,
user: userId,
filename: 'file1.txt',
filepath: '/uploads/file1.txt',
type: 'text/plain',
bytes: 100,
});
await createFile({
file_id: fileId2,
user: new mongoose.Types.ObjectId(),
filename: 'file2.txt',
filepath: '/uploads/file2.txt',
type: 'text/plain',
bytes: 200,
});
const files = await getFiles({ file_id: { $in: [fileId1, fileId2] } });
expect(files).toHaveLength(2);
});
});
});

View File

@@ -1,7 +1,9 @@
const { z } = require('zod');
const { logger } = require('@librechat/data-schemas');
const { createTempChatExpirationDate } = require('@librechat/api');
const getCustomConfig = require('~/server/services/Config/getCustomConfig');
const { Message } = require('~/db/models');
const Message = require('~/db/models').Message;
const idSchema = z.string().uuid();
/**
@@ -54,9 +56,14 @@ async function saveMessage(req, params, metadata) {
};
if (req?.body?.isTemporary) {
const expiredAt = new Date();
expiredAt.setDate(expiredAt.getDate() + 30);
update.expiredAt = expiredAt;
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;
}
} else {
update.expiredAt = null;
}
@@ -253,6 +260,7 @@ async function updateMessage(req, message, metadata) {
text: updatedMessage.text,
isCreatedByUser: updatedMessage.isCreatedByUser,
tokenCount: updatedMessage.tokenCount,
feedback: updatedMessage.feedback,
};
} catch (err) {
logger.error('Error updating message:', err);

View File

@@ -1,37 +1,7 @@
const mongoose = require('mongoose');
const { MongoMemoryServer } = require('mongodb-memory-server');
const { v4: uuidv4 } = require('uuid');
jest.mock('mongoose');
const mockFindQuery = {
select: jest.fn().mockReturnThis(),
sort: jest.fn().mockReturnThis(),
lean: jest.fn().mockReturnThis(),
deleteMany: jest.fn().mockResolvedValue({ deletedCount: 1 }),
};
const mockSchema = {
findOneAndUpdate: jest.fn(),
updateOne: jest.fn(),
findOne: jest.fn(() => ({
lean: jest.fn(),
})),
find: jest.fn(() => mockFindQuery),
deleteMany: jest.fn(),
};
jest.mock('~/config/winston', () => ({
error: jest.fn(),
}));
const mockModels = {
Message: {
findOneAndUpdate: mockSchema.findOneAndUpdate,
updateOne: mockSchema.updateOne,
findOne: mockSchema.findOne,
find: mockSchema.find,
deleteMany: mockSchema.deleteMany,
},
};
const { messageSchema } = require('@librechat/data-schemas');
const {
saveMessage,
@@ -40,77 +10,102 @@ const {
deleteMessages,
updateMessageText,
deleteMessagesSince,
} = require('~/models/Message');
} = require('./Message');
/**
* @type {import('mongoose').Model<import('@librechat/data-schemas').IMessage>}
*/
let Message;
describe('Message Operations', () => {
let mongoServer;
let mockReq;
let mockMessage;
let mockMessageData;
beforeEach(() => {
jest.clearAllMocks();
beforeAll(async () => {
mongoServer = await MongoMemoryServer.create();
const mongoUri = mongoServer.getUri();
Message = mongoose.models.Message || mongoose.model('Message', messageSchema);
await mongoose.connect(mongoUri);
});
afterAll(async () => {
await mongoose.disconnect();
await mongoServer.stop();
});
beforeEach(async () => {
// Clear database
await Message.deleteMany({});
mockReq = {
user: { id: 'user123' },
};
mockMessage = {
mockMessageData = {
messageId: 'msg123',
conversationId: uuidv4(),
text: 'Hello, world!',
user: 'user123',
};
mockSchema.findOneAndUpdate.mockResolvedValue({
toObject: () => mockMessage,
});
});
describe('saveMessage', () => {
it('should save a message for an authenticated user', async () => {
const result = await saveMessage(mockReq, mockMessage);
expect(result).toEqual(mockMessage);
expect(mockSchema.findOneAndUpdate).toHaveBeenCalledWith(
{ messageId: 'msg123', user: 'user123' },
expect.objectContaining({ user: 'user123' }),
expect.any(Object),
);
const result = await saveMessage(mockReq, mockMessageData);
expect(result.messageId).toBe('msg123');
expect(result.user).toBe('user123');
expect(result.text).toBe('Hello, world!');
// Verify the message was actually saved to the database
const savedMessage = await Message.findOne({ messageId: 'msg123', user: 'user123' });
expect(savedMessage).toBeTruthy();
expect(savedMessage.text).toBe('Hello, world!');
});
it('should throw an error for unauthenticated user', async () => {
mockReq.user = null;
await expect(saveMessage(mockReq, mockMessage)).rejects.toThrow('User not authenticated');
await expect(saveMessage(mockReq, mockMessageData)).rejects.toThrow('User not authenticated');
});
it('should throw an error for invalid conversation ID', async () => {
mockMessage.conversationId = 'invalid-id';
await expect(saveMessage(mockReq, mockMessage)).resolves.toBeUndefined();
it('should handle invalid conversation ID gracefully', async () => {
mockMessageData.conversationId = 'invalid-id';
const result = await saveMessage(mockReq, mockMessageData);
expect(result).toBeUndefined();
});
});
describe('updateMessageText', () => {
it('should update message text for the authenticated user', async () => {
// First save a message
await saveMessage(mockReq, mockMessageData);
// Then update it
await updateMessageText(mockReq, { messageId: 'msg123', text: 'Updated text' });
expect(mockSchema.updateOne).toHaveBeenCalledWith(
{ messageId: 'msg123', user: 'user123' },
{ text: 'Updated text' },
);
// Verify the update
const updatedMessage = await Message.findOne({ messageId: 'msg123', user: 'user123' });
expect(updatedMessage.text).toBe('Updated text');
});
});
describe('updateMessage', () => {
it('should update a message for the authenticated user', async () => {
mockSchema.findOneAndUpdate.mockResolvedValue(mockMessage);
// First save a message
await saveMessage(mockReq, mockMessageData);
const result = await updateMessage(mockReq, { messageId: 'msg123', text: 'Updated text' });
expect(result).toEqual(
expect.objectContaining({
messageId: 'msg123',
text: 'Hello, world!',
}),
);
expect(result.messageId).toBe('msg123');
expect(result.text).toBe('Updated text');
// Verify in database
const updatedMessage = await Message.findOne({ messageId: 'msg123', user: 'user123' });
expect(updatedMessage.text).toBe('Updated text');
});
it('should throw an error if message is not found', async () => {
mockSchema.findOneAndUpdate.mockResolvedValue(null);
await expect(
updateMessage(mockReq, { messageId: 'nonexistent', text: 'Test' }),
).rejects.toThrow('Message not found or user not authorized.');
@@ -119,19 +114,45 @@ describe('Message Operations', () => {
describe('deleteMessagesSince', () => {
it('should delete messages only for the authenticated user', async () => {
mockSchema.findOne().lean.mockResolvedValueOnce({ createdAt: new Date() });
mockFindQuery.deleteMany.mockResolvedValueOnce({ deletedCount: 1 });
const result = await deleteMessagesSince(mockReq, {
messageId: 'msg123',
conversationId: 'convo123',
const conversationId = uuidv4();
// Create multiple messages in the same conversation
const message1 = await saveMessage(mockReq, {
messageId: 'msg1',
conversationId,
text: 'First message',
user: 'user123',
});
expect(mockSchema.findOne).toHaveBeenCalledWith({ messageId: 'msg123', user: 'user123' });
expect(mockSchema.find).not.toHaveBeenCalled();
expect(result).toBeUndefined();
const message2 = await saveMessage(mockReq, {
messageId: 'msg2',
conversationId,
text: 'Second message',
user: 'user123',
});
const message3 = await saveMessage(mockReq, {
messageId: 'msg3',
conversationId,
text: 'Third message',
user: 'user123',
});
// Delete messages since message2 (this should only delete messages created AFTER msg2)
await deleteMessagesSince(mockReq, {
messageId: 'msg2',
conversationId,
});
// Verify msg1 and msg2 remain, msg3 is deleted
const remainingMessages = await Message.find({ conversationId, user: 'user123' });
expect(remainingMessages).toHaveLength(2);
expect(remainingMessages.map((m) => m.messageId)).toContain('msg1');
expect(remainingMessages.map((m) => m.messageId)).toContain('msg2');
expect(remainingMessages.map((m) => m.messageId)).not.toContain('msg3');
});
it('should return undefined if no message is found', async () => {
mockSchema.findOne().lean.mockResolvedValueOnce(null);
const result = await deleteMessagesSince(mockReq, {
messageId: 'nonexistent',
conversationId: 'convo123',
@@ -142,29 +163,71 @@ describe('Message Operations', () => {
describe('getMessages', () => {
it('should retrieve messages with the correct filter', async () => {
const filter = { conversationId: 'convo123' };
await getMessages(filter);
expect(mockSchema.find).toHaveBeenCalledWith(filter);
expect(mockFindQuery.sort).toHaveBeenCalledWith({ createdAt: 1 });
expect(mockFindQuery.lean).toHaveBeenCalled();
const conversationId = uuidv4();
// Save some messages
await saveMessage(mockReq, {
messageId: 'msg1',
conversationId,
text: 'First message',
user: 'user123',
});
await saveMessage(mockReq, {
messageId: 'msg2',
conversationId,
text: 'Second message',
user: 'user123',
});
const messages = await getMessages({ conversationId });
expect(messages).toHaveLength(2);
expect(messages[0].text).toBe('First message');
expect(messages[1].text).toBe('Second message');
});
});
describe('deleteMessages', () => {
it('should delete messages with the correct filter', async () => {
// Save some messages for different users
await saveMessage(mockReq, mockMessageData);
await saveMessage(
{ user: { id: 'user456' } },
{
messageId: 'msg456',
conversationId: uuidv4(),
text: 'Other user message',
user: 'user456',
},
);
await deleteMessages({ user: 'user123' });
expect(mockSchema.deleteMany).toHaveBeenCalledWith({ user: 'user123' });
// Verify only user123's messages were deleted
const user123Messages = await Message.find({ user: 'user123' });
const user456Messages = await Message.find({ user: 'user456' });
expect(user123Messages).toHaveLength(0);
expect(user456Messages).toHaveLength(1);
});
});
describe('Conversation Hijacking Prevention', () => {
it("should not allow editing a message in another user's conversation", async () => {
const attackerReq = { user: { id: 'attacker123' } };
const victimConversationId = 'victim-convo-123';
const victimConversationId = uuidv4();
const victimMessageId = 'victim-msg-123';
mockSchema.findOneAndUpdate.mockResolvedValue(null);
// First, save a message as the victim (but we'll try to edit as attacker)
const victimReq = { user: { id: 'victim123' } };
await saveMessage(victimReq, {
messageId: victimMessageId,
conversationId: victimConversationId,
text: 'Victim message',
user: 'victim123',
});
// Attacker tries to edit the victim's message
await expect(
updateMessage(attackerReq, {
messageId: victimMessageId,
@@ -173,71 +236,82 @@ describe('Message Operations', () => {
}),
).rejects.toThrow('Message not found or user not authorized.');
expect(mockSchema.findOneAndUpdate).toHaveBeenCalledWith(
{ messageId: victimMessageId, user: 'attacker123' },
expect.anything(),
expect.anything(),
);
// Verify the original message is unchanged
const originalMessage = await Message.findOne({
messageId: victimMessageId,
user: 'victim123',
});
expect(originalMessage.text).toBe('Victim message');
});
it("should not allow deleting messages from another user's conversation", async () => {
const attackerReq = { user: { id: 'attacker123' } };
const victimConversationId = 'victim-convo-123';
const victimConversationId = uuidv4();
const victimMessageId = 'victim-msg-123';
mockSchema.findOne().lean.mockResolvedValueOnce(null); // Simulating message not found for this user
// Save a message as the victim
const victimReq = { user: { id: 'victim123' } };
await saveMessage(victimReq, {
messageId: victimMessageId,
conversationId: victimConversationId,
text: 'Victim message',
user: 'victim123',
});
// Attacker tries to delete from victim's conversation
const result = await deleteMessagesSince(attackerReq, {
messageId: victimMessageId,
conversationId: victimConversationId,
});
expect(result).toBeUndefined();
expect(mockSchema.findOne).toHaveBeenCalledWith({
// Verify the victim's message still exists
const victimMessage = await Message.findOne({
messageId: victimMessageId,
user: 'attacker123',
user: 'victim123',
});
expect(victimMessage).toBeTruthy();
expect(victimMessage.text).toBe('Victim message');
});
it("should not allow inserting a new message into another user's conversation", async () => {
const attackerReq = { user: { id: 'attacker123' } };
const victimConversationId = uuidv4(); // Use a valid UUID
const victimConversationId = uuidv4();
await expect(
saveMessage(attackerReq, {
conversationId: victimConversationId,
text: 'Inserted malicious message',
messageId: 'new-msg-123',
}),
).resolves.not.toThrow(); // It should not throw an error
// Attacker tries to save a message - this should succeed but with attacker's user ID
const result = await saveMessage(attackerReq, {
conversationId: victimConversationId,
text: 'Inserted malicious message',
messageId: 'new-msg-123',
user: 'attacker123',
});
// Check that the message was saved with the attacker's user ID
expect(mockSchema.findOneAndUpdate).toHaveBeenCalledWith(
{ messageId: 'new-msg-123', user: 'attacker123' },
expect.objectContaining({
user: 'attacker123',
conversationId: victimConversationId,
}),
expect.anything(),
);
expect(result).toBeTruthy();
expect(result.user).toBe('attacker123');
// Verify the message was saved with the attacker's user ID, not as an anonymous message
const savedMessage = await Message.findOne({ messageId: 'new-msg-123' });
expect(savedMessage.user).toBe('attacker123');
expect(savedMessage.conversationId).toBe(victimConversationId);
});
it('should allow retrieving messages from any conversation', async () => {
const victimConversationId = 'victim-convo-123';
const victimConversationId = uuidv4();
await getMessages({ conversationId: victimConversationId });
expect(mockSchema.find).toHaveBeenCalledWith({
// Save a message in the victim's conversation
const victimReq = { user: { id: 'victim123' } };
await saveMessage(victimReq, {
messageId: 'victim-msg',
conversationId: victimConversationId,
text: 'Victim message',
user: 'victim123',
});
mockSchema.find.mockReturnValueOnce({
select: jest.fn().mockReturnThis(),
sort: jest.fn().mockReturnThis(),
lean: jest.fn().mockResolvedValue([{ text: 'Test message' }]),
});
const result = await getMessages({ conversationId: victimConversationId });
expect(result).toEqual([{ text: 'Test message' }]);
// Anyone should be able to retrieve messages by conversation ID
const messages = await getMessages({ conversationId: victimConversationId });
expect(messages).toHaveLength(1);
expect(messages[0].text).toBe('Victim message');
});
});
});

View File

@@ -1,7 +1,5 @@
const mongoose = require('mongoose');
const { logger } = require('@librechat/data-schemas');
const Preset = require('~/db/models').Preset;
const { Preset } = require('~/db/models');
const getPreset = async (user, presetId) => {
try {

View File

@@ -1,7 +1,5 @@
const mongoose = require('mongoose');
const { GLOBAL_PROJECT_NAME } = require('librechat-data-provider').Constants;
const Project = require('~/db/models').Project;
const { Project } = require('~/db/models');
/**
* Retrieve a project by ID and convert the found project document to a plain object.

View File

@@ -1,4 +1,3 @@
const mongoose = require('mongoose');
const { ObjectId } = require('mongodb');
const { logger } = require('@librechat/data-schemas');
const { SystemRoles, SystemCategories, Constants } = require('librechat-data-provider');
@@ -8,11 +7,9 @@ const {
removeGroupIdsFromProject,
removeGroupFromAllProjects,
} = require('./Project');
const { PromptGroup, Prompt } = require('~/db/models');
const { escapeRegExp } = require('~/server/utils');
const PromptGroup = require('~/db/models').PromptGroup;
const Prompt = require('~/db/models').Prompt;
/**
* Create a pipeline for the aggregation to get prompt groups
* @param {Object} query

View File

@@ -2,14 +2,12 @@ const {
CacheKeys,
SystemRoles,
roleDefaults,
PermissionTypes,
permissionsSchema,
removeNullishValues,
} = require('librechat-data-provider');
const { logger } = require('@librechat/data-schemas');
const getLogStores = require('~/cache/getLogStores');
const Role = require('~/db/models').Role;
const { Role } = require('~/db/models');
/**
* Retrieve a role by name and convert the found role document to a plain object.
@@ -171,35 +169,6 @@ async function updateAccessPermissions(roleName, permissionsUpdate) {
}
}
/**
* Initialize default roles in the system.
* Creates the default roles (ADMIN, USER) if they don't exist in the database.
* Updates existing roles with new permission types if they're missing.
*
* @returns {Promise<void>}
*/
const initializeRoles = async function () {
for (const roleName of [SystemRoles.ADMIN, SystemRoles.USER]) {
let role = await Role.findOne({ name: roleName });
const defaultPerms = roleDefaults[roleName].permissions;
if (!role) {
// Create new role if it doesn't exist.
role = new Role(roleDefaults[roleName]);
} else {
// Ensure role.permissions is defined.
role.permissions = role.permissions || {};
// For each permission type in defaults, add it if missing.
for (const permType of Object.keys(defaultPerms)) {
if (role.permissions[permType] == null) {
role.permissions[permType] = defaultPerms[permType];
}
}
}
await role.save();
}
};
/**
* Migrates roles from old schema to new schema structure.
* This can be called directly to fix existing roles.
@@ -281,8 +250,7 @@ const migrateRoleSchema = async function (roleName) {
module.exports = {
getRoleByName,
initializeRoles,
updateRoleByName,
updateAccessPermissions,
migrateRoleSchema,
updateAccessPermissions,
};

View File

@@ -6,10 +6,10 @@ const {
roleDefaults,
PermissionTypes,
} = require('librechat-data-provider');
const { getRoleByName, updateAccessPermissions, initializeRoles } = require('~/models/Role');
const { getRoleByName, updateAccessPermissions } = require('~/models/Role');
const getLogStores = require('~/cache/getLogStores');
const Role = require('~/db/models').Role;
const { initializeRoles } = require('~/models');
const { Role } = require('~/db/models');
// Mock the cache
jest.mock('~/cache/getLogStores', () =>

View File

@@ -1,349 +0,0 @@
const { nanoid } = require('nanoid');
const mongoose = require('mongoose');
const { Constants } = require('librechat-data-provider');
const { logger } = require('@librechat/data-schemas');
const { getMessages } = require('./Message');
const Conversation = require('~/db/models').Conversation;
const SharedLink = require('~/db/models').SharedLink;
class ShareServiceError extends Error {
constructor(message, code) {
super(message);
this.name = 'ShareServiceError';
this.code = code;
}
}
const memoizedAnonymizeId = (prefix) => {
const memo = new Map();
return (id) => {
if (!memo.has(id)) {
memo.set(id, `${prefix}_${nanoid()}`);
}
return memo.get(id);
};
};
const anonymizeConvoId = memoizedAnonymizeId('convo');
const anonymizeAssistantId = memoizedAnonymizeId('a');
const anonymizeMessageId = (id) =>
id === Constants.NO_PARENT ? id : memoizedAnonymizeId('msg')(id);
function anonymizeConvo(conversation) {
if (!conversation) {
return null;
}
const newConvo = { ...conversation };
if (newConvo.assistant_id) {
newConvo.assistant_id = anonymizeAssistantId(newConvo.assistant_id);
}
return newConvo;
}
function anonymizeMessages(messages, newConvoId) {
if (!Array.isArray(messages)) {
return [];
}
const idMap = new Map();
return messages.map((message) => {
const newMessageId = anonymizeMessageId(message.messageId);
idMap.set(message.messageId, newMessageId);
const anonymizedAttachments = message.attachments?.map((attachment) => {
return {
...attachment,
messageId: newMessageId,
conversationId: newConvoId,
};
});
return {
...message,
messageId: newMessageId,
parentMessageId:
idMap.get(message.parentMessageId) || anonymizeMessageId(message.parentMessageId),
conversationId: newConvoId,
model: message.model?.startsWith('asst_')
? anonymizeAssistantId(message.model)
: message.model,
attachments: anonymizedAttachments,
};
});
}
async function getSharedMessages(shareId) {
try {
const share = await SharedLink.findOne({ shareId, isPublic: true })
.populate({
path: 'messages',
select: '-_id -__v -user',
})
.select('-_id -__v -user')
.lean();
if (!share?.conversationId || !share.isPublic) {
return null;
}
const newConvoId = anonymizeConvoId(share.conversationId);
const result = {
...share,
conversationId: newConvoId,
messages: anonymizeMessages(share.messages, newConvoId),
};
return result;
} catch (error) {
logger.error('[getShare] Error getting share link', {
error: error.message,
shareId,
});
throw new ShareServiceError('Error getting share link', 'SHARE_FETCH_ERROR');
}
}
async function getSharedLinks(user, pageParam, pageSize, isPublic, sortBy, sortDirection, search) {
try {
const query = { user, isPublic };
if (pageParam) {
if (sortDirection === 'desc') {
query[sortBy] = { $lt: pageParam };
} else {
query[sortBy] = { $gt: pageParam };
}
}
if (search && search.trim()) {
try {
const searchResults = await Conversation.meiliSearch(search);
if (!searchResults?.hits?.length) {
return {
links: [],
nextCursor: undefined,
hasNextPage: false,
};
}
const conversationIds = searchResults.hits.map((hit) => hit.conversationId);
query['conversationId'] = { $in: conversationIds };
} catch (searchError) {
logger.error('[getSharedLinks] Meilisearch error', {
error: searchError.message,
user,
});
return {
links: [],
nextCursor: undefined,
hasNextPage: false,
};
}
}
const sort = {};
sort[sortBy] = sortDirection === 'desc' ? -1 : 1;
if (Array.isArray(query.conversationId)) {
query.conversationId = { $in: query.conversationId };
}
const sharedLinks = await SharedLink.find(query)
.sort(sort)
.limit(pageSize + 1)
.select('-__v -user')
.lean();
const hasNextPage = sharedLinks.length > pageSize;
const links = sharedLinks.slice(0, pageSize);
const nextCursor = hasNextPage ? links[links.length - 1][sortBy] : undefined;
return {
links: links.map((link) => ({
shareId: link.shareId,
title: link?.title || 'Untitled',
isPublic: link.isPublic,
createdAt: link.createdAt,
conversationId: link.conversationId,
})),
nextCursor,
hasNextPage,
};
} catch (error) {
logger.error('[getSharedLinks] Error getting shares', {
error: error.message,
user,
});
throw new ShareServiceError('Error getting shares', 'SHARES_FETCH_ERROR');
}
}
async function deleteAllSharedLinks(user) {
try {
const result = await SharedLink.deleteMany({ user });
return {
message: 'All shared links deleted successfully',
deletedCount: result.deletedCount,
};
} catch (error) {
logger.error('[deleteAllSharedLinks] Error deleting shared links', {
error: error.message,
user,
});
throw new ShareServiceError('Error deleting shared links', 'BULK_DELETE_ERROR');
}
}
async function createSharedLink(user, conversationId) {
if (!user || !conversationId) {
throw new ShareServiceError('Missing required parameters', 'INVALID_PARAMS');
}
try {
const [existingShare, conversationMessages] = await Promise.all([
SharedLink.findOne({ conversationId, isPublic: true }).select('-_id -__v -user').lean(),
getMessages({ conversationId }),
]);
if (existingShare && existingShare.isPublic) {
throw new ShareServiceError('Share already exists', 'SHARE_EXISTS');
} else if (existingShare) {
await SharedLink.deleteOne({ conversationId });
}
const conversation = await Conversation.findOne({ conversationId }).lean();
const title = conversation?.title || 'Untitled';
const shareId = nanoid();
await SharedLink.create({
shareId,
conversationId,
messages: conversationMessages,
title,
user,
});
return { shareId, conversationId };
} catch (error) {
logger.error('[createSharedLink] Error creating shared link', {
error: error.message,
user,
conversationId,
});
throw new ShareServiceError('Error creating shared link', 'SHARE_CREATE_ERROR');
}
}
async function getSharedLink(user, conversationId) {
if (!user || !conversationId) {
throw new ShareServiceError('Missing required parameters', 'INVALID_PARAMS');
}
try {
const share = await SharedLink.findOne({ conversationId, user, isPublic: true })
.select('shareId -_id')
.lean();
if (!share) {
return { shareId: null, success: false };
}
return { shareId: share.shareId, success: true };
} catch (error) {
logger.error('[getSharedLink] Error getting shared link', {
error: error.message,
user,
conversationId,
});
throw new ShareServiceError('Error getting shared link', 'SHARE_FETCH_ERROR');
}
}
async function updateSharedLink(user, shareId) {
if (!user || !shareId) {
throw new ShareServiceError('Missing required parameters', 'INVALID_PARAMS');
}
try {
const share = await SharedLink.findOne({ shareId }).select('-_id -__v -user').lean();
if (!share) {
throw new ShareServiceError('Share not found', 'SHARE_NOT_FOUND');
}
const [updatedMessages] = await Promise.all([
getMessages({ conversationId: share.conversationId }),
]);
const newShareId = nanoid();
const update = {
messages: updatedMessages,
user,
shareId: newShareId,
};
const updatedShare = await SharedLink.findOneAndUpdate({ shareId, user }, update, {
new: true,
upsert: false,
runValidators: true,
}).lean();
if (!updatedShare) {
throw new ShareServiceError('Share update failed', 'SHARE_UPDATE_ERROR');
}
anonymizeConvo(updatedShare);
return { shareId: newShareId, conversationId: updatedShare.conversationId };
} catch (error) {
logger.error('[updateSharedLink] Error updating shared link', {
error: error.message,
user,
shareId,
});
throw new ShareServiceError(
error.code === 'SHARE_UPDATE_ERROR' ? error.message : 'Error updating shared link',
error.code || 'SHARE_UPDATE_ERROR',
);
}
}
async function deleteSharedLink(user, shareId) {
if (!user || !shareId) {
throw new ShareServiceError('Missing required parameters', 'INVALID_PARAMS');
}
try {
const result = await SharedLink.findOneAndDelete({ shareId, user }).lean();
if (!result) {
return null;
}
return {
success: true,
shareId,
message: 'Share deleted successfully',
};
} catch (error) {
logger.error('[deleteSharedLink] Error deleting shared link', {
error: error.message,
user,
shareId,
});
throw new ShareServiceError('Error deleting shared link', 'SHARE_DELETE_ERROR');
}
}
module.exports = {
getSharedLink,
getSharedLinks,
createSharedLink,
updateSharedLink,
deleteSharedLink,
getSharedMessages,
deleteAllSharedLinks,
};

View File

@@ -1,42 +0,0 @@
const { findToken, updateToken, createToken } = require('~/models');
const { encryptV2 } = require('~/server/utils/crypto');
/**
* Handles the OAuth token by creating or updating the token.
* @param {object} fields
* @param {string} fields.userId - The user's ID.
* @param {string} fields.token - The full token to store.
* @param {string} fields.identifier - Unique, alternative identifier for the token.
* @param {number} fields.expiresIn - The number of seconds until the token expires.
* @param {object} fields.metadata - Additional metadata to store with the token.
* @param {string} [fields.type="oauth"] - The type of token. Default is 'oauth'.
*/
async function handleOAuthToken({
token,
userId,
identifier,
expiresIn,
metadata,
type = 'oauth',
}) {
const encrypedToken = await encryptV2(token);
const tokenData = {
type,
userId,
metadata,
identifier,
token: encrypedToken,
expiresIn: parseInt(expiresIn, 10) || 3600,
};
const existingToken = await findToken({ userId, identifier });
if (existingToken) {
return await updateToken({ identifier }, tokenData);
} else {
return await createToken(tokenData);
}
}
module.exports = {
handleOAuthToken,
};

View File

@@ -1,6 +1,4 @@
const mongoose = require('mongoose');
const ToolCall = require('~/db/models').ToolCall;
const { ToolCall } = require('~/db/models');
/**
* Create a new tool call

View File

@@ -1,10 +1,7 @@
const mongoose = require('mongoose');
const { logger } = require('@librechat/data-schemas');
const { getBalanceConfig } = require('~/server/services/Config');
const { getMultiplier, getCacheMultiplier } = require('./tx');
const Transaction = require('~/db/models').Transaction;
const Balance = require('~/db/models').Balance;
const { Transaction, Balance } = require('~/db/models');
const cancelRate = 1.15;

View File

@@ -4,7 +4,7 @@ const { spendTokens, spendStructuredTokens } = require('./spendTokens');
const { getBalanceConfig } = require('~/server/services/Config');
const { getMultiplier, getCacheMultiplier } = require('./tx');
const { createTransaction } = require('./Transaction');
const Balance = require('~/db/models').Balance;
const { Balance } = require('~/db/models');
// Mock the custom config module so we can control the balance flag.
jest.mock('~/server/services/Config');

View File

@@ -1,11 +1,9 @@
const mongoose = require('mongoose');
const { logger } = require('@librechat/data-schemas');
const { ViolationTypes } = require('librechat-data-provider');
const { createAutoRefillTransaction } = require('./Transaction');
const { logViolation } = require('~/cache');
const { getMultiplier } = require('./tx');
const Balance = require('~/db/models').Balance;
const { Balance } = require('~/db/models');
function isInvalidDate(date) {
return isNaN(date);

View File

@@ -1,8 +1,7 @@
const mongoose = require('mongoose');
const { MongoMemoryServer } = require('mongodb-memory-server');
const { getMessages, bulkSaveMessages } = require('./Message');
const Message = require('~/db/models').Message;
const { Message } = require('~/db/models');
// Original version of buildTree function
function buildTree({ messages, fileMap }) {

View File

@@ -1,6 +1,6 @@
const mongoose = require('mongoose');
const { getRandomValues } = require('@librechat/api');
const { logger, hashToken } = require('@librechat/data-schemas');
const { getRandomValues } = require('~/server/utils/crypto');
const { createToken, findToken } = require('~/models');
/**

View File

@@ -2,8 +2,8 @@ const mongoose = require('mongoose');
const { MongoMemoryServer } = require('mongodb-memory-server');
const { spendTokens, spendStructuredTokens } = require('./spendTokens');
const { createTransaction, createAutoRefillTransaction } = require('./Transaction');
const Transaction = require('~/db/models').Transaction;
const Balance = require('~/db/models').Balance;
require('~/db/models');
// Mock the logger to prevent console output during tests
jest.mock('~/config', () => ({
@@ -20,10 +20,15 @@ jest.mock('~/server/services/Config');
describe('spendTokens', () => {
let mongoServer;
let userId;
let Transaction;
let Balance;
beforeAll(async () => {
mongoServer = await MongoMemoryServer.create();
await mongoose.connect(mongoServer.getUri());
Transaction = mongoose.model('Transaction');
Balance = mongoose.model('Balance');
});
afterAll(async () => {

View File

@@ -78,7 +78,7 @@ const tokenValues = Object.assign(
'gpt-3.5-turbo-1106': { prompt: 1, completion: 2 },
'o4-mini': { prompt: 1.1, completion: 4.4 },
'o3-mini': { prompt: 1.1, completion: 4.4 },
o3: { prompt: 10, completion: 40 },
o3: { prompt: 2, completion: 8 },
'o1-mini': { prompt: 1.1, completion: 4.4 },
'o1-preview': { prompt: 15, completion: 60 },
o1: { prompt: 15, completion: 60 },
@@ -135,10 +135,11 @@ const tokenValues = Object.assign(
'grok-2-1212': { prompt: 2.0, completion: 10.0 },
'grok-2-latest': { prompt: 2.0, completion: 10.0 },
'grok-2': { prompt: 2.0, completion: 10.0 },
'grok-3-mini-fast': { prompt: 0.4, completion: 4 },
'grok-3-mini-fast': { prompt: 0.6, completion: 4 },
'grok-3-mini': { prompt: 0.3, completion: 0.5 },
'grok-3-fast': { prompt: 5.0, completion: 25.0 },
'grok-3': { prompt: 3.0, completion: 15.0 },
'grok-4': { prompt: 3.0, completion: 15.0 },
'grok-beta': { prompt: 5.0, completion: 15.0 },
'mistral-large': { prompt: 2.0, completion: 6.0 },
'pixtral-large': { prompt: 2.0, completion: 6.0 },

View File

@@ -636,6 +636,15 @@ describe('Grok Model Tests - Pricing', () => {
);
});
test('should return correct prompt and completion rates for Grok 4 model', () => {
expect(getMultiplier({ model: 'grok-4-0709', tokenType: 'prompt' })).toBe(
tokenValues['grok-4'].prompt,
);
expect(getMultiplier({ model: 'grok-4-0709', tokenType: 'completion' })).toBe(
tokenValues['grok-4'].completion,
);
});
test('should return correct prompt and completion rates for Grok 3 models with prefixes', () => {
expect(getMultiplier({ model: 'xai/grok-3', tokenType: 'prompt' })).toBe(
tokenValues['grok-3'].prompt,
@@ -662,6 +671,15 @@ describe('Grok Model Tests - Pricing', () => {
tokenValues['grok-3-mini-fast'].completion,
);
});
test('should return correct prompt and completion rates for Grok 4 model with prefixes', () => {
expect(getMultiplier({ model: 'xai/grok-4-0709', tokenType: 'prompt' })).toBe(
tokenValues['grok-4'].prompt,
);
expect(getMultiplier({ model: 'xai/grok-4-0709', tokenType: 'completion' })).toBe(
tokenValues['grok-4'].completion,
);
});
});
});

View File

@@ -12,6 +12,10 @@ const comparePassword = async (user, candidatePassword) => {
throw new Error('No user provided');
}
if (!user.password) {
throw new Error('No password, likely an email first registered via Social/OIDC login');
}
return new Promise((resolve, reject) => {
bcrypt.compare(candidatePassword, user.password, (err, isMatch) => {
if (err) {

View File

@@ -1,6 +1,6 @@
{
"name": "@librechat/backend",
"version": "v0.7.8",
"version": "v0.7.9-rc1",
"description": "",
"scripts": {
"start": "echo 'please run this from the root directory'",
@@ -34,29 +34,31 @@
},
"homepage": "https://librechat.ai",
"dependencies": {
"@anthropic-ai/sdk": "^0.37.0",
"@anthropic-ai/sdk": "^0.52.0",
"@aws-sdk/client-s3": "^3.758.0",
"@aws-sdk/s3-request-presigner": "^3.758.0",
"@azure/identity": "^4.7.0",
"@azure/search-documents": "^12.0.0",
"@azure/storage-blob": "^12.27.0",
"@google/generative-ai": "^0.23.0",
"@google/generative-ai": "^0.24.0",
"@googleapis/youtube": "^20.0.0",
"@keyv/redis": "^4.3.3",
"@langchain/community": "^0.3.44",
"@langchain/core": "^0.3.57",
"@langchain/google-genai": "^0.2.9",
"@langchain/google-vertexai": "^0.2.9",
"@langchain/community": "^0.3.47",
"@langchain/core": "^0.3.62",
"@langchain/google-genai": "^0.2.13",
"@langchain/google-vertexai": "^0.2.13",
"@langchain/openai": "^0.5.18",
"@langchain/textsplitters": "^0.1.0",
"@librechat/agents": "^2.4.37",
"@librechat/agents": "^2.4.63",
"@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",
"compression": "^1.8.1",
"connect-redis": "^8.1.0",
"cookie": "^0.7.2",
"cookie-parser": "^1.4.7",
"cors": "^2.8.5",
@@ -66,7 +68,7 @@
"express": "^4.21.2",
"express-mongo-sanitize": "^2.2.0",
"express-rate-limit": "^7.4.1",
"express-session": "^1.18.1",
"express-session": "^1.18.2",
"express-static-gzip": "^2.2.0",
"file-type": "^18.7.0",
"firebase": "^11.0.2",
@@ -81,15 +83,15 @@
"keyv-file": "^5.1.2",
"klona": "^2.0.6",
"librechat-data-provider": "*",
"librechat-mcp": "*",
"lodash": "^4.17.21",
"meilisearch": "^0.38.0",
"memorystore": "^1.6.7",
"mime": "^3.0.0",
"module-alias": "^2.2.3",
"mongoose": "^8.12.1",
"multer": "^2.0.0",
"multer": "^2.0.2",
"nanoid": "^3.3.7",
"node-fetch": "^2.7.0",
"nodemailer": "^6.9.15",
"ollama": "^0.5.0",
"openai": "^4.96.2",
@@ -109,8 +111,9 @@
"tiktoken": "^1.0.15",
"traverse": "^0.6.7",
"ua-parser-js": "^1.0.36",
"undici": "^7.10.0",
"winston": "^3.11.0",
"winston-daily-rotate-file": "^4.7.1",
"winston-daily-rotate-file": "^5.0.0",
"youtube-transcript": "^1.2.1",
"zod": "^3.22.4"
},

View File

@@ -169,9 +169,6 @@ function disposeClient(client) {
client.isGenerativeModel = null;
}
// Properties specific to OpenAIClient
if (client.ChatGPTClient) {
client.ChatGPTClient = null;
}
if (client.completionsUrl) {
client.completionsUrl = null;
}
@@ -220,6 +217,9 @@ function disposeClient(client) {
if (client.maxResponseTokens) {
client.maxResponseTokens = null;
}
if (client.processMemory) {
client.processMemory = null;
}
if (client.run) {
// Break circular references in run
if (client.run.Graph) {

View File

@@ -1,282 +0,0 @@
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 {
registerUser,
resetPassword,
setAuthTokens,
requestPasswordReset,
setOpenIDAuthTokens,
resetPassword,
setAuthTokens,
registerUser,
} = 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

@@ -1,6 +1,4 @@
const mongoose = require('mongoose');
const Balance = require('~/db/models').Balance;
const { Balance } = require('~/db/models');
async function balanceController(req, res) {
const balanceData = await Balance.findOne(

View File

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

View File

@@ -24,17 +24,23 @@ const handleValidationError = (err, res) => {
}
};
// eslint-disable-next-line no-unused-vars
module.exports = (err, req, res, next) => {
module.exports = (err, _req, res, _next) => {
try {
if (err.name === 'ValidationError') {
return (err = handleValidationError(err, res));
return handleValidationError(err, res);
}
if (err.code && err.code == 11000) {
return (err = handleDuplicateKeyError(err, res));
return handleDuplicateKeyError(err, res);
}
} catch (err) {
// Special handling for errors like SyntaxError
if (err.statusCode && err.body) {
return res.status(err.statusCode).send(err.body);
}
logger.error('ErrorController => error', err);
res.status(500).send('An unknown error occurred.');
return res.status(500).send('An unknown error occurred.');
} catch (err) {
logger.error('ErrorController => processing error', err);
return res.status(500).send('Processing error in ErrorController.');
}
};

View File

@@ -0,0 +1,241 @@
const errorController = require('./ErrorController');
const { logger } = require('~/config');
// Mock the logger
jest.mock('~/config', () => ({
logger: {
error: jest.fn(),
},
}));
describe('ErrorController', () => {
let mockReq, mockRes, mockNext;
beforeEach(() => {
mockReq = {};
mockRes = {
status: jest.fn().mockReturnThis(),
send: jest.fn(),
};
mockNext = jest.fn();
logger.error.mockClear();
});
describe('ValidationError handling', () => {
it('should handle ValidationError with single error', () => {
const validationError = {
name: 'ValidationError',
errors: {
email: { message: 'Email is required', path: 'email' },
},
};
errorController(validationError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(400);
expect(mockRes.send).toHaveBeenCalledWith({
messages: '["Email is required"]',
fields: '["email"]',
});
expect(logger.error).toHaveBeenCalledWith('Validation error:', validationError.errors);
});
it('should handle ValidationError with multiple errors', () => {
const validationError = {
name: 'ValidationError',
errors: {
email: { message: 'Email is required', path: 'email' },
password: { message: 'Password is required', path: 'password' },
},
};
errorController(validationError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(400);
expect(mockRes.send).toHaveBeenCalledWith({
messages: '"Email is required Password is required"',
fields: '["email","password"]',
});
expect(logger.error).toHaveBeenCalledWith('Validation error:', validationError.errors);
});
it('should handle ValidationError with empty errors object', () => {
const validationError = {
name: 'ValidationError',
errors: {},
};
errorController(validationError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(400);
expect(mockRes.send).toHaveBeenCalledWith({
messages: '[]',
fields: '[]',
});
});
});
describe('Duplicate key error handling', () => {
it('should handle duplicate key error (code 11000)', () => {
const duplicateKeyError = {
code: 11000,
keyValue: { email: 'test@example.com' },
};
errorController(duplicateKeyError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(409);
expect(mockRes.send).toHaveBeenCalledWith({
messages: 'An document with that ["email"] already exists.',
fields: '["email"]',
});
expect(logger.error).toHaveBeenCalledWith('Duplicate key error:', duplicateKeyError.keyValue);
});
it('should handle duplicate key error with multiple fields', () => {
const duplicateKeyError = {
code: 11000,
keyValue: { email: 'test@example.com', username: 'testuser' },
};
errorController(duplicateKeyError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(409);
expect(mockRes.send).toHaveBeenCalledWith({
messages: 'An document with that ["email","username"] already exists.',
fields: '["email","username"]',
});
expect(logger.error).toHaveBeenCalledWith('Duplicate key error:', duplicateKeyError.keyValue);
});
it('should handle error with code 11000 as string', () => {
const duplicateKeyError = {
code: '11000',
keyValue: { email: 'test@example.com' },
};
errorController(duplicateKeyError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(409);
expect(mockRes.send).toHaveBeenCalledWith({
messages: 'An document with that ["email"] already exists.',
fields: '["email"]',
});
});
});
describe('SyntaxError handling', () => {
it('should handle errors with statusCode and body', () => {
const syntaxError = {
statusCode: 400,
body: 'Invalid JSON syntax',
};
errorController(syntaxError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(400);
expect(mockRes.send).toHaveBeenCalledWith('Invalid JSON syntax');
});
it('should handle errors with different statusCode and body', () => {
const customError = {
statusCode: 422,
body: { error: 'Unprocessable entity' },
};
errorController(customError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(422);
expect(mockRes.send).toHaveBeenCalledWith({ error: 'Unprocessable entity' });
});
it('should handle error with statusCode but no body', () => {
const partialError = {
statusCode: 400,
};
errorController(partialError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(500);
expect(mockRes.send).toHaveBeenCalledWith('An unknown error occurred.');
});
it('should handle error with body but no statusCode', () => {
const partialError = {
body: 'Some error message',
};
errorController(partialError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(500);
expect(mockRes.send).toHaveBeenCalledWith('An unknown error occurred.');
});
});
describe('Unknown error handling', () => {
it('should handle unknown errors', () => {
const unknownError = new Error('Some unknown error');
errorController(unknownError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(500);
expect(mockRes.send).toHaveBeenCalledWith('An unknown error occurred.');
expect(logger.error).toHaveBeenCalledWith('ErrorController => error', unknownError);
});
it('should handle errors with code other than 11000', () => {
const mongoError = {
code: 11100,
message: 'Some MongoDB error',
};
errorController(mongoError, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(500);
expect(mockRes.send).toHaveBeenCalledWith('An unknown error occurred.');
expect(logger.error).toHaveBeenCalledWith('ErrorController => error', mongoError);
});
it('should handle null/undefined errors', () => {
errorController(null, mockReq, mockRes, mockNext);
expect(mockRes.status).toHaveBeenCalledWith(500);
expect(mockRes.send).toHaveBeenCalledWith('Processing error in ErrorController.');
expect(logger.error).toHaveBeenCalledWith(
'ErrorController => processing error',
expect.any(Error),
);
});
});
describe('Catch block handling', () => {
beforeEach(() => {
// Restore logger mock to normal behavior for these tests
logger.error.mockRestore();
logger.error = jest.fn();
});
it('should handle errors when logger.error throws', () => {
// Create fresh mocks for this test
const freshMockRes = {
status: jest.fn().mockReturnThis(),
send: jest.fn(),
};
// Mock logger to throw on the first call, succeed on the second
logger.error
.mockImplementationOnce(() => {
throw new Error('Logger error');
})
.mockImplementation(() => {});
const testError = new Error('Test error');
errorController(testError, mockReq, freshMockRes, mockNext);
expect(freshMockRes.status).toHaveBeenCalledWith(500);
expect(freshMockRes.send).toHaveBeenCalledWith('Processing error in ErrorController.');
expect(logger.error).toHaveBeenCalledTimes(2);
});
});
});

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

@@ -1,8 +1,9 @@
const { CacheKeys, AuthType } = require('librechat-data-provider');
const { logger } = require('@librechat/data-schemas');
const { CacheKeys, AuthType, Constants } = require('librechat-data-provider');
const { getCustomConfig, getCachedTools } = require('~/server/services/Config');
const { getToolkitKey } = require('~/server/services/ToolService');
const { getCustomConfig } = require('~/server/services/Config');
const { getMCPManager, getFlowStateManager } = require('~/config');
const { availableTools } = require('~/app/clients/tools');
const { getMCPManager } = require('~/config');
const { getLogStores } = require('~/cache');
/**
@@ -84,6 +85,45 @@ const getAvailablePluginsController = async (req, res) => {
}
};
function createServerToolsCallback() {
/**
* @param {string} serverName
* @param {TPlugin[] | null} serverTools
*/
return async function (serverName, serverTools) {
try {
const mcpToolsCache = getLogStores(CacheKeys.MCP_TOOLS);
if (!serverName || !mcpToolsCache) {
return;
}
await mcpToolsCache.set(serverName, serverTools);
logger.debug(`MCP tools for ${serverName} added to cache.`);
} catch (error) {
logger.error('Error retrieving MCP tools from cache:', error);
}
};
}
function createGetServerTools() {
/**
* Retrieves cached server tools
* @param {string} serverName
* @returns {Promise<TPlugin[] | null>}
*/
return async function (serverName) {
try {
const mcpToolsCache = getLogStores(CacheKeys.MCP_TOOLS);
if (!mcpToolsCache) {
return null;
}
return await mcpToolsCache.get(serverName);
} catch (error) {
logger.error('Error retrieving MCP tools from cache:', error);
return null;
}
};
}
/**
* Retrieves and returns a list of available tools, either from a cache or by reading a plugin manifest file.
*
@@ -99,9 +139,9 @@ const getAvailablePluginsController = async (req, res) => {
const getAvailableTools = async (req, res) => {
try {
const cache = getLogStores(CacheKeys.CONFIG_STORE);
const cachedTools = await cache.get(CacheKeys.TOOLS);
if (cachedTools) {
res.status(200).json(cachedTools);
const cachedToolsArray = await cache.get(CacheKeys.TOOLS);
if (cachedToolsArray) {
res.status(200).json(cachedToolsArray);
return;
}
@@ -109,7 +149,16 @@ const getAvailableTools = async (req, res) => {
const customConfig = await getCustomConfig();
if (customConfig?.mcpServers != null) {
const mcpManager = getMCPManager();
pluginManifest = await mcpManager.loadManifestTools(pluginManifest);
const flowsCache = getLogStores(CacheKeys.FLOWS);
const flowManager = flowsCache ? getFlowStateManager(flowsCache) : null;
const serverToolsCallback = createServerToolsCallback();
const getServerTools = createGetServerTools();
const mcpTools = await mcpManager.loadManifestTools({
flowManager,
serverToolsCallback,
getServerTools,
});
pluginManifest = [...mcpTools, ...pluginManifest];
}
/** @type {TPlugin[]} */
@@ -123,17 +172,57 @@ const getAvailableTools = async (req, res) => {
}
});
const toolDefinitions = req.app.locals.availableTools;
const tools = authenticatedPlugins.filter(
(plugin) =>
toolDefinitions[plugin.pluginKey] !== undefined ||
(plugin.toolkit === true &&
Object.keys(toolDefinitions).some((key) => getToolkitKey(key) === plugin.pluginKey)),
);
const toolDefinitions = (await getCachedTools({ includeGlobal: true })) || {};
await cache.set(CacheKeys.TOOLS, tools);
res.status(200).json(tools);
const toolsOutput = [];
for (const plugin of authenticatedPlugins) {
const isToolDefined = toolDefinitions[plugin.pluginKey] !== undefined;
const isToolkit =
plugin.toolkit === true &&
Object.keys(toolDefinitions).some((key) => getToolkitKey(key) === plugin.pluginKey);
if (!isToolDefined && !isToolkit) {
continue;
}
const toolToAdd = { ...plugin };
if (!plugin.pluginKey.includes(Constants.mcp_delimiter)) {
toolsOutput.push(toolToAdd);
continue;
}
const parts = plugin.pluginKey.split(Constants.mcp_delimiter);
const serverName = parts[parts.length - 1];
const serverConfig = customConfig?.mcpServers?.[serverName];
if (!serverConfig?.customUserVars) {
toolsOutput.push(toolToAdd);
continue;
}
const customVarKeys = Object.keys(serverConfig.customUserVars);
if (customVarKeys.length === 0) {
toolToAdd.authConfig = [];
toolToAdd.authenticated = true;
} else {
toolToAdd.authConfig = Object.entries(serverConfig.customUserVars).map(([key, value]) => ({
authField: key,
label: value.title || key,
description: value.description || '',
}));
toolToAdd.authenticated = false;
}
toolsOutput.push(toolToAdd);
}
const finalTools = filterUniquePlugins(toolsOutput);
await cache.set(CacheKeys.TOOLS, finalTools);
res.status(200).json(finalTools);
} catch (error) {
logger.error('[getAvailableTools]', error);
res.status(500).json({ message: error.message });
}
};

View File

@@ -1,3 +1,4 @@
const { encryptV3 } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const {
verifyTOTP,
@@ -7,7 +8,6 @@ const {
generateBackupCodes,
} = require('~/server/services/twoFactorService');
const { getUserById, updateUser } = require('~/models');
const { encryptV3 } = require('~/server/utils/crypto');
const safeAppTitle = (process.env.APP_TITLE || 'LibreChat').replace(/\s+/g, '');

View File

@@ -1,10 +1,5 @@
const {
Tools,
FileSources,
webSearchKeys,
extractWebSearchEnvVars,
} = require('librechat-data-provider');
const { logger } = require('@librechat/data-schemas');
const { webSearchKeys, extractWebSearchEnvVars } = require('@librechat/api');
const {
getFiles,
updateUser,
@@ -19,13 +14,12 @@ const { updateUserPluginAuth, deleteUserPluginAuth } = require('~/server/service
const { updateUserPluginsService, deleteUserKey } = require('~/server/services/UserService');
const { verifyEmail, resendVerificationEmail } = require('~/server/services/AuthService');
const { needsRefresh, getNewS3URL } = require('~/server/services/Files/S3/crud');
const { Tools, Constants, FileSources } = require('librechat-data-provider');
const { processDeleteRequest } = require('~/server/services/Files/process');
const { deleteAllSharedLinks } = require('~/models/Share');
const { Transaction, Balance, User } = require('~/db/models');
const { deleteToolCalls } = require('~/models/ToolCall');
const Transaction = require('~/db/models').Transaction;
const Balance = require('~/db/models').Balance;
const User = require('~/db/models').User;
const { deleteAllSharedLinks } = require('~/models');
const { getMCPManager } = require('~/config');
const getUserController = async (req, res) => {
/** @type {MongoUser} */
@@ -105,10 +99,22 @@ const updateUserPluginsController = async (req, res) => {
}
let keys = Object.keys(auth);
if (keys.length === 0 && pluginKey !== Tools.web_search) {
const values = Object.values(auth); // Used in 'install' block
const isMCPTool = pluginKey.startsWith('mcp_') || pluginKey.includes(Constants.mcp_delimiter);
// Early exit condition:
// If keys are empty (meaning auth: {} was likely sent for uninstall, or auth was empty for install)
// AND it's not web_search (which has special key handling to populate `keys` for uninstall)
// AND it's NOT (an uninstall action FOR an MCP tool - we need to proceed for this case to clear all its auth)
// THEN return.
if (
keys.length === 0 &&
pluginKey !== Tools.web_search &&
!(action === 'uninstall' && isMCPTool)
) {
return res.status(200).send();
}
const values = Object.values(auth);
/** @type {number} */
let status = 200;
@@ -135,16 +141,53 @@ const updateUserPluginsController = async (req, res) => {
}
}
} else if (action === 'uninstall') {
for (let i = 0; i < keys.length; i++) {
authService = await deleteUserPluginAuth(user.id, keys[i]);
// const isMCPTool was defined earlier
if (isMCPTool && keys.length === 0) {
// This handles the case where auth: {} is sent for an MCP tool uninstall.
// It means "delete all credentials associated with this MCP pluginKey".
authService = await deleteUserPluginAuth(user.id, null, true, pluginKey);
if (authService instanceof Error) {
logger.error('[authService]', authService);
logger.error(
`[authService] Error deleting all auth for MCP tool ${pluginKey}:`,
authService,
);
({ status, message } = authService);
}
} else {
// This handles:
// 1. Web_search uninstall (keys will be populated with all webSearchKeys if auth was {}).
// 2. Other tools uninstall (if keys were provided).
// 3. MCP tool uninstall if specific keys were provided in `auth` (not current frontend behavior).
// If keys is empty for non-MCP tools (and not web_search), this loop won't run, and nothing is deleted.
for (let i = 0; i < keys.length; i++) {
authService = await deleteUserPluginAuth(user.id, keys[i]); // Deletes by authField name
if (authService instanceof Error) {
logger.error('[authService] Error deleting specific auth key:', authService);
({ status, message } = authService);
}
}
}
}
if (status === 200) {
// If auth was updated successfully, disconnect MCP sessions as they might use these credentials
if (pluginKey.startsWith(Constants.mcp_prefix)) {
try {
const mcpManager = getMCPManager(user.id);
if (mcpManager) {
logger.info(
`[updateUserPluginsController] Disconnecting MCP connections for user ${user.id} after plugin auth update for ${pluginKey}.`,
);
await mcpManager.disconnectUserConnections(user.id);
}
} catch (disconnectError) {
logger.error(
`[updateUserPluginsController] Error disconnecting MCP connections for user ${user.id} after plugin auth update:`,
disconnectError,
);
// Do not fail the request for this, but log it.
}
}
return res.status(status).send();
}
@@ -166,7 +209,11 @@ const deleteUserController = async (req, res) => {
await Balance.deleteMany({ user: user._id }); // delete user balances
await deletePresets(user.id); // delete user presets
/* TODO: Delete Assistant Threads */
await deleteConvos(user.id); // delete user convos
try {
await deleteConvos(user.id); // delete user convos
} catch (error) {
logger.error('[deleteUserController] Error deleting user convos, likely no convos', error);
}
await deleteUserPluginAuth(user.id, null, true); // delete user plugin auth
await deleteUserById(user.id); // delete user
await deleteAllSharedLinks(user.id); // delete user shared links

View File

@@ -0,0 +1,195 @@
const { duplicateAgent } = require('../v1');
const { getAgent, createAgent } = require('~/models/Agent');
const { getActions } = require('~/models/Action');
const { nanoid } = require('nanoid');
jest.mock('~/models/Agent');
jest.mock('~/models/Action');
jest.mock('nanoid');
describe('duplicateAgent', () => {
let req, res;
beforeEach(() => {
req = {
params: { id: 'agent_123' },
user: { id: 'user_456' },
};
res = {
status: jest.fn().mockReturnThis(),
json: jest.fn(),
};
jest.clearAllMocks();
});
it('should duplicate an agent successfully', async () => {
const mockAgent = {
id: 'agent_123',
name: 'Test Agent',
description: 'Test Description',
instructions: 'Test Instructions',
provider: 'openai',
model: 'gpt-4',
tools: ['file_search'],
actions: [],
author: 'user_789',
versions: [{ name: 'Test Agent', version: 1 }],
__v: 0,
};
const mockNewAgent = {
id: 'agent_new_123',
name: 'Test Agent (1/2/23, 12:34)',
description: 'Test Description',
instructions: 'Test Instructions',
provider: 'openai',
model: 'gpt-4',
tools: ['file_search'],
actions: [],
author: 'user_456',
versions: [
{
name: 'Test Agent (1/2/23, 12:34)',
description: 'Test Description',
instructions: 'Test Instructions',
provider: 'openai',
model: 'gpt-4',
tools: ['file_search'],
actions: [],
createdAt: new Date(),
updatedAt: new Date(),
},
],
};
getAgent.mockResolvedValue(mockAgent);
getActions.mockResolvedValue([]);
nanoid.mockReturnValue('new_123');
createAgent.mockResolvedValue(mockNewAgent);
await duplicateAgent(req, res);
expect(getAgent).toHaveBeenCalledWith({ id: 'agent_123' });
expect(getActions).toHaveBeenCalledWith({ agent_id: 'agent_123' }, true);
expect(createAgent).toHaveBeenCalledWith(
expect.objectContaining({
id: 'agent_new_123',
author: 'user_456',
name: expect.stringContaining('Test Agent ('),
description: 'Test Description',
instructions: 'Test Instructions',
provider: 'openai',
model: 'gpt-4',
tools: ['file_search'],
actions: [],
}),
);
expect(createAgent).toHaveBeenCalledWith(
expect.not.objectContaining({
versions: expect.anything(),
__v: expect.anything(),
}),
);
expect(res.status).toHaveBeenCalledWith(201);
expect(res.json).toHaveBeenCalledWith({
agent: mockNewAgent,
actions: [],
});
});
it('should ensure duplicated agent has clean versions array without nested fields', async () => {
const mockAgent = {
id: 'agent_123',
name: 'Test Agent',
description: 'Test Description',
versions: [
{
name: 'Test Agent',
versions: [{ name: 'Nested' }],
__v: 1,
},
],
__v: 2,
};
const mockNewAgent = {
id: 'agent_new_123',
name: 'Test Agent (1/2/23, 12:34)',
description: 'Test Description',
versions: [
{
name: 'Test Agent (1/2/23, 12:34)',
description: 'Test Description',
createdAt: new Date(),
updatedAt: new Date(),
},
],
};
getAgent.mockResolvedValue(mockAgent);
getActions.mockResolvedValue([]);
nanoid.mockReturnValue('new_123');
createAgent.mockResolvedValue(mockNewAgent);
await duplicateAgent(req, res);
expect(mockNewAgent.versions).toHaveLength(1);
const firstVersion = mockNewAgent.versions[0];
expect(firstVersion).not.toHaveProperty('versions');
expect(firstVersion).not.toHaveProperty('__v');
expect(mockNewAgent).not.toHaveProperty('__v');
expect(res.status).toHaveBeenCalledWith(201);
});
it('should return 404 if agent not found', async () => {
getAgent.mockResolvedValue(null);
await duplicateAgent(req, res);
expect(res.status).toHaveBeenCalledWith(404);
expect(res.json).toHaveBeenCalledWith({
error: 'Agent not found',
status: 'error',
});
});
it('should handle tool_resources.ocr correctly', async () => {
const mockAgent = {
id: 'agent_123',
name: 'Test Agent',
tool_resources: {
ocr: { enabled: true, config: 'test' },
other: { should: 'not be copied' },
},
};
getAgent.mockResolvedValue(mockAgent);
getActions.mockResolvedValue([]);
nanoid.mockReturnValue('new_123');
createAgent.mockResolvedValue({ id: 'agent_new_123' });
await duplicateAgent(req, res);
expect(createAgent).toHaveBeenCalledWith(
expect.objectContaining({
tool_resources: {
ocr: { enabled: true, config: 'test' },
},
}),
);
});
it('should handle errors gracefully', async () => {
getAgent.mockRejectedValue(new Error('Database error'));
await duplicateAgent(req, res);
expect(res.status).toHaveBeenCalledWith(500);
expect(res.json).toHaveBeenCalledWith({ error: 'Database error' });
});
});

View File

@@ -1,4 +1,6 @@
const { nanoid } = require('nanoid');
const { sendEvent } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { Tools, StepTypes, FileContext } = require('librechat-data-provider');
const {
EnvVar,
@@ -12,7 +14,6 @@ const {
const { processCodeOutput } = require('~/server/services/Files/Code/process');
const { loadAuthValues } = require('~/server/services/Tools/credentials');
const { saveBase64Image } = require('~/server/services/Files/process');
const { logger, sendEvent } = require('~/config');
class ModelEndHandler {
/**
@@ -240,9 +241,7 @@ function createToolEndCallback({ req, res, artifactPromises }) {
if (output.artifact[Tools.web_search]) {
artifactPromises.push(
(async () => {
const name = `${output.name}_${output.tool_call_id}_${nanoid()}`;
const attachment = {
name,
type: Tools.web_search,
messageId: metadata.run_id,
toolCallId: output.tool_call_id,

View File

@@ -1,43 +1,65 @@
// const { HttpsProxyAgent } = require('https-proxy-agent');
// const {
// Constants,
// ImageDetail,
// EModelEndpoint,
// resolveHeaders,
// validateVisionModel,
// mapModelToAzureConfig,
// } = require('librechat-data-provider');
require('events').EventEmitter.defaultMaxListeners = 100;
const { logger } = require('@librechat/data-schemas');
const { DynamicStructuredTool } = require('@langchain/core/tools');
const { getBufferString, HumanMessage } = require('@langchain/core/messages');
const {
sendEvent,
createRun,
Tokenizer,
checkAccess,
memoryInstructions,
formatContentStrings,
createMemoryProcessor,
} = require('@librechat/api');
const {
Callback,
Providers,
GraphEvents,
formatMessage,
formatAgentMessages,
formatContentStrings,
getTokenCountForMessage,
createMetadataAggregator,
} = require('@librechat/agents');
const {
Constants,
Permissions,
VisionModes,
ContentTypes,
EModelEndpoint,
KnownEndpoints,
PermissionTypes,
isAgentsEndpoint,
AgentCapabilities,
bedrockInputSchema,
removeNullishValues,
} = require('librechat-data-provider');
const { getCustomEndpointConfig, checkCapability } = require('~/server/services/Config');
const {
findPluginAuthsByKeys,
getFormattedMemories,
deleteMemory,
setMemory,
} = require('~/models');
const { getMCPAuthMap, checkCapability, hasCustomUserVars } = 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 { getBufferString, HumanMessage } = require('@langchain/core/messages');
const { encodeAndFormat } = require('~/server/services/Files/images/encode');
const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
const Tokenizer = require('~/server/services/Tokenizer');
const { getProviderConfig } = require('~/server/services/Endpoints');
const BaseClient = require('~/app/clients/BaseClient');
const { logger, sendEvent } = require('~/config');
const { createRun } = require('./run');
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',
'additionalModelRequestFields',
]);
/**
* @param {ServerRequest} req
@@ -53,16 +75,10 @@ const payloadParser = ({ req, agent, endpoint }) => {
return req.body.endpointOption.model_parameters;
};
const legacyContentEndpoints = new Set([KnownEndpoints.groq, KnownEndpoints.deepseek]);
const noSystemModelRegex = [/\b(o1-preview|o1-mini|amazon\.titan-text)\b/gi];
// const { processMemory, memoryInstructions } = require('~/server/services/Endpoints/agents/memory');
// const { getFormattedMemories } = require('~/models/Memory');
// const { getCurrentDateTime } = require('~/utils');
function createTokenCounter(encoding) {
return (message) => {
return function (message) {
const countTokens = (text) => Tokenizer.getTokenCount(text, encoding);
return getTokenCountForMessage(message, countTokens);
};
@@ -123,6 +139,8 @@ class AgentClient extends BaseClient {
this.usage;
/** @type {Record<string, number>} */
this.indexTokenCountMap = {};
/** @type {(messages: BaseMessage[]) => Promise<void>} */
this.processMemory;
}
/**
@@ -137,55 +155,10 @@ class AgentClient extends BaseClient {
}
/**
*
* Checks if the model is a vision model based on request attachments and sets the appropriate options:
* - Sets `this.modelOptions.model` to `gpt-4-vision-preview` if the request is a vision request.
* - Sets `this.isVisionModel` to `true` if vision request.
* - Deletes `this.modelOptions.stop` if vision request.
* `AgentClient` is not opinionated about vision requests, so we don't do anything here
* @param {MongoFile[]} attachments
*/
checkVisionRequest(attachments) {
// if (!attachments) {
// return;
// }
// const availableModels = this.options.modelsConfig?.[this.options.endpoint];
// if (!availableModels) {
// return;
// }
// let visionRequestDetected = false;
// for (const file of attachments) {
// if (file?.type?.includes('image')) {
// visionRequestDetected = true;
// break;
// }
// }
// if (!visionRequestDetected) {
// return;
// }
// this.isVisionModel = validateVisionModel({ model: this.modelOptions.model, availableModels });
// if (this.isVisionModel) {
// delete this.modelOptions.stop;
// return;
// }
// for (const model of availableModels) {
// if (!validateVisionModel({ model, availableModels })) {
// continue;
// }
// this.modelOptions.model = model;
// this.isVisionModel = true;
// delete this.modelOptions.stop;
// return;
// }
// if (!availableModels.includes(this.defaultVisionModel)) {
// return;
// }
// if (!validateVisionModel({ model: this.defaultVisionModel, availableModels })) {
// return;
// }
// this.modelOptions.model = this.defaultVisionModel;
// this.isVisionModel = true;
// delete this.modelOptions.stop;
}
checkVisionRequest() {}
getSaveOptions() {
// TODO:
@@ -269,24 +242,6 @@ class AgentClient extends BaseClient {
.filter(Boolean)
.join('\n')
.trim();
// this.systemMessage = getCurrentDateTime();
// const { withKeys, withoutKeys } = await getFormattedMemories({
// userId: this.options.req.user.id,
// });
// processMemory({
// userId: this.options.req.user.id,
// message: this.options.req.body.text,
// parentMessageId,
// memory: withKeys,
// thread_id: this.conversationId,
// }).catch((error) => {
// logger.error('Memory Agent failed to process memory', error);
// });
// this.systemMessage += '\n\n' + memoryInstructions;
// if (withoutKeys) {
// this.systemMessage += `\n\n# Existing memory about the user:\n${withoutKeys}`;
// }
if (this.options.attachments) {
const attachments = await this.options.attachments;
@@ -370,6 +325,37 @@ class AgentClient extends BaseClient {
systemContent = this.augmentedPrompt + systemContent;
}
// Inject MCP server instructions if available
const ephemeralAgent = this.options.req.body.ephemeralAgent;
let mcpServers = [];
// Check for ephemeral agent MCP servers
if (ephemeralAgent && ephemeralAgent.mcp && ephemeralAgent.mcp.length > 0) {
mcpServers = ephemeralAgent.mcp;
}
// Check for regular agent MCP tools
else if (this.options.agent && this.options.agent.tools) {
mcpServers = this.options.agent.tools
.filter(
(tool) =>
tool instanceof DynamicStructuredTool && tool.name.includes(Constants.mcp_delimiter),
)
.map((tool) => tool.name.split(Constants.mcp_delimiter).pop())
.filter(Boolean);
}
if (mcpServers.length > 0) {
try {
const mcpInstructions = getMCPManager().formatInstructionsForContext(mcpServers);
if (mcpInstructions) {
systemContent = [systemContent, mcpInstructions].filter(Boolean).join('\n\n');
logger.debug('[AgentClient] Injected MCP instructions for servers:', mcpServers);
}
} catch (error) {
logger.error('[AgentClient] Failed to inject MCP instructions:', error);
}
}
if (systemContent) {
this.options.agent.instructions = systemContent;
}
@@ -399,9 +385,164 @@ class AgentClient extends BaseClient {
opts.getReqData({ promptTokens });
}
const withoutKeys = await this.useMemory();
if (withoutKeys) {
systemContent += `${memoryInstructions}\n\n# Existing memory about the user:\n${withoutKeys}`;
}
if (systemContent) {
this.options.agent.instructions = systemContent;
}
return result;
}
/**
* @returns {Promise<string | undefined>}
*/
async useMemory() {
const user = this.options.req.user;
if (user.personalization?.memories === false) {
return;
}
const hasAccess = await checkAccess({
user,
permissionType: PermissionTypes.MEMORIES,
permissions: [Permissions.USE],
getRoleByName,
});
if (!hasAccess) {
logger.debug(
`[api/server/controllers/agents/client.js #useMemory] User ${user.id} does not have USE permission for memories`,
);
return;
}
/** @type {TCustomConfig['memory']} */
const memoryConfig = this.options.req?.app?.locals?.memory;
if (!memoryConfig || memoryConfig.disabled === true) {
return;
}
/** @type {Agent} */
let prelimAgent;
const allowedProviders = new Set(
this.options.req?.app?.locals?.[EModelEndpoint.agents]?.allowedProviders,
);
try {
if (memoryConfig.agent?.id != null && memoryConfig.agent.id !== this.options.agent.id) {
prelimAgent = await loadAgent({
req: this.options.req,
agent_id: memoryConfig.agent.id,
endpoint: EModelEndpoint.agents,
});
} else if (
memoryConfig.agent?.id == null &&
memoryConfig.agent?.model != null &&
memoryConfig.agent?.provider != null
) {
prelimAgent = { id: Constants.EPHEMERAL_AGENT_ID, ...memoryConfig.agent };
}
} catch (error) {
logger.error(
'[api/server/controllers/agents/client.js #useMemory] Error loading agent for memory',
error,
);
}
const agent = await initializeAgent({
req: this.options.req,
res: this.options.res,
agent: prelimAgent,
allowedProviders,
endpointOption: {
endpoint:
prelimAgent.id !== Constants.EPHEMERAL_AGENT_ID
? EModelEndpoint.agents
: memoryConfig.agent?.provider,
},
});
if (!agent) {
logger.warn(
'[api/server/controllers/agents/client.js #useMemory] No agent found for memory',
memoryConfig,
);
return;
}
const llmConfig = Object.assign(
{
provider: agent.provider,
model: agent.model,
},
agent.model_parameters,
);
/** @type {import('@librechat/api').MemoryConfig} */
const config = {
validKeys: memoryConfig.validKeys,
instructions: agent.instructions,
llmConfig,
tokenLimit: memoryConfig.tokenLimit,
};
const userId = this.options.req.user.id + '';
const messageId = this.responseMessageId + '';
const conversationId = this.conversationId + '';
const [withoutKeys, processMemory] = await createMemoryProcessor({
userId,
config,
messageId,
conversationId,
memoryMethods: {
setMemory,
deleteMemory,
getFormattedMemories,
},
res: this.options.res,
});
this.processMemory = processMemory;
return withoutKeys;
}
/**
* @param {BaseMessage[]} messages
* @returns {Promise<void | (TAttachment | null)[]>}
*/
async runMemory(messages) {
try {
if (this.processMemory == null) {
return;
}
/** @type {TCustomConfig['memory']} */
const memoryConfig = this.options.req?.app?.locals?.memory;
const messageWindowSize = memoryConfig?.messageWindowSize ?? 5;
let messagesToProcess = [...messages];
if (messages.length > messageWindowSize) {
for (let i = messages.length - messageWindowSize; i >= 0; i--) {
const potentialWindow = messages.slice(i, i + messageWindowSize);
if (potentialWindow[0]?.role === 'user') {
messagesToProcess = [...potentialWindow];
break;
}
}
if (messagesToProcess.length === messages.length) {
messagesToProcess = [...messages.slice(-messageWindowSize)];
}
}
const bufferString = getBufferString(messagesToProcess);
const bufferMessage = new HumanMessage(`# Current Chat:\n\n${bufferString}`);
return await this.processMemory([bufferMessage]);
} catch (error) {
logger.error('Memory Agent failed to process memory', error);
}
}
/** @type {sendCompletion} */
async sendCompletion(payload, opts = {}) {
await this.chatCompletion({
@@ -544,100 +685,13 @@ class AgentClient extends BaseClient {
let config;
/** @type {ReturnType<createRun>} */
let run;
/** @type {Promise<(TAttachment | null)[] | undefined>} */
let memoryPromise;
try {
if (!abortController) {
abortController = new AbortController();
}
// if (this.options.headers) {
// opts.defaultHeaders = { ...opts.defaultHeaders, ...this.options.headers };
// }
// if (this.options.proxy) {
// opts.httpAgent = new HttpsProxyAgent(this.options.proxy);
// }
// if (this.isVisionModel) {
// modelOptions.max_tokens = 4000;
// }
// /** @type {TAzureConfig | undefined} */
// const azureConfig = this.options?.req?.app?.locals?.[EModelEndpoint.azureOpenAI];
// if (
// (this.azure && 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.defaultHeaders = 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 (this.azure || this.options.azure) {
// /* Azure Bug, extremely short default `max_tokens` response */
// if (!modelOptions.max_tokens && modelOptions.model === 'gpt-4-vision-preview') {
// modelOptions.max_tokens = 4000;
// }
// /* Azure does not accept `model` in the body, so we need to remove it. */
// delete modelOptions.model;
// opts.baseURL = this.langchainProxy
// ? constructAzureURL({
// baseURL: this.langchainProxy,
// azureOptions: this.azure,
// })
// : this.azureEndpoint.split(/(?<!\/)\/(chat|completion)\//)[0];
// opts.defaultQuery = { 'api-version': this.azure.azureOpenAIApiVersion };
// opts.defaultHeaders = { ...opts.defaultHeaders, 'api-key': this.apiKey };
// }
// if (process.env.OPENAI_ORGANIZATION) {
// opts.organization = process.env.OPENAI_ORGANIZATION;
// }
// if (this.options.addParams && typeof this.options.addParams === 'object') {
// modelOptions = {
// ...modelOptions,
// ...this.options.addParams,
// };
// logger.debug('[api/server/controllers/agents/client.js #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('[api/server/controllers/agents/client.js #chatCompletion] dropped params', {
// dropParams: this.options.dropParams,
// modelOptions,
// });
// }
/** @type {TCustomConfig['endpoints']['agents']} */
const agentsEConfig = this.options.req.app.locals[EModelEndpoint.agents];
@@ -647,8 +701,9 @@ class AgentClient extends BaseClient {
last_agent_index: this.agentConfigs?.size ?? 0,
user_id: this.user ?? this.options.req.user?.id,
hide_sequential_outputs: this.options.agent.hide_sequential_outputs,
user: this.options.req.user,
},
recursionLimit: agentsEConfig?.recursionLimit,
recursionLimit: agentsEConfig?.recursionLimit ?? 25,
signal: abortController.signal,
streamMode: 'values',
version: 'v2',
@@ -660,9 +715,6 @@ class AgentClient extends BaseClient {
this.indexTokenCountMap,
toolSet,
);
if (legacyContentEndpoints.has(this.options.agent.endpoint?.toLowerCase())) {
initialMessages = formatContentStrings(initialMessages);
}
/**
*
@@ -726,6 +778,9 @@ class AgentClient extends BaseClient {
}
let messages = _messages;
if (agent.useLegacyContent === true) {
messages = formatContentStrings(messages);
}
if (
agent.model_parameters?.clientOptions?.defaultHeaders?.['anthropic-beta']?.includes(
'prompt-caching',
@@ -734,6 +789,10 @@ class AgentClient extends BaseClient {
messages = addCacheControl(messages);
}
if (i === 0) {
memoryPromise = this.runMemory(messages);
}
run = await createRun({
agent,
req: this.options.req,
@@ -769,10 +828,24 @@ class AgentClient extends BaseClient {
run.Graph.contentData = contentData;
}
const encoding = this.getEncoding();
try {
if (await hasCustomUserVars()) {
config.configurable.userMCPAuthMap = await getMCPAuthMap({
tools: agent.tools,
userId: this.options.req.user.id,
findPluginAuthsByKeys,
});
}
} catch (err) {
logger.error(
`[api/server/controllers/agents/client.js #chatCompletion] Error getting custom user vars for agent ${agent.id}`,
err,
);
}
await run.processStream({ messages }, config, {
keepContent: i !== 0,
tokenCounter: createTokenCounter(encoding),
tokenCounter: createTokenCounter(this.getEncoding()),
indexTokenCountMap: currentIndexCountMap,
maxContextTokens: agent.maxContextTokens,
callbacks: {
@@ -887,6 +960,12 @@ class AgentClient extends BaseClient {
});
try {
if (memoryPromise) {
const attachments = await memoryPromise;
if (attachments && attachments.length > 0) {
this.artifactPromises.push(...attachments);
}
}
await this.recordCollectedUsage({ context: 'message' });
} catch (err) {
logger.error(
@@ -895,6 +974,12 @@ class AgentClient extends BaseClient {
);
}
} catch (err) {
if (memoryPromise) {
const attachments = await memoryPromise;
if (attachments && attachments.length > 0) {
this.artifactPromises.push(...attachments);
}
}
logger.error(
'[api/server/controllers/agents/client.js #sendCompletion] Operation aborted',
err,
@@ -923,23 +1008,26 @@ class AgentClient extends BaseClient {
throw new Error('Run not initialized');
}
const { handleLLMEnd, collected: collectedMetadata } = createMetadataAggregator();
const endpoint = this.options.agent.endpoint;
const { req, res } = this.options;
const { req, res, agent } = this.options;
const endpoint = agent.endpoint;
/** @type {import('@librechat/agents').ClientOptions} */
let clientOptions = {
maxTokens: 75,
model: agent.model_parameters.model,
};
let endpointConfig = req.app.locals[endpoint];
const { getOptions, overrideProvider, customEndpointConfig } =
await getProviderConfig(endpoint);
/** @type {TEndpoint | undefined} */
const endpointConfig = req.app.locals[endpoint] ?? customEndpointConfig;
if (!endpointConfig) {
try {
endpointConfig = await getCustomEndpointConfig(endpoint);
} catch (err) {
logger.error(
'[api/server/controllers/agents/client.js #titleConvo] Error getting custom endpoint config',
err,
);
}
logger.warn(
'[api/server/controllers/agents/client.js #titleConvo] Error getting endpoint config',
);
}
if (
endpointConfig &&
endpointConfig.titleModel &&
@@ -947,30 +1035,56 @@ 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 &&
clientOptions.model &&
this.options.agent.model_parameters.model !== clientOptions.model
options.llmConfig?.azureOpenAIApiInstanceName == null
) {
clientOptions =
(
await initOpenAI({
req,
res,
optionsOnly: true,
overrideModel: clientOptions.model,
overrideEndpoint: endpoint,
endpointOption: {
model_parameters: clientOptions,
},
})
)?.llmConfig ?? clientOptions;
provider = Providers.OPENAI;
} else if (
endpoint === EModelEndpoint.azureOpenAI &&
options.llmConfig?.azureOpenAIApiInstanceName != null &&
provider !== Providers.AZURE
) {
provider = Providers.AZURE;
}
if (/\b(o\d)\b/i.test(clientOptions.model) && clientOptions.maxTokens != null) {
/** @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) {
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,
@@ -988,8 +1102,10 @@ class AgentClient extends BaseClient {
let input_tokens, output_tokens;
if (item.usage) {
input_tokens = item.usage.input_tokens || item.usage.inputTokens;
output_tokens = item.usage.output_tokens || item.usage.outputTokens;
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;
} else if (item.tokenUsage) {
input_tokens = item.tokenUsage.promptTokens;
output_tokens = item.tokenUsage.completionTokens;
@@ -1019,8 +1135,52 @@ class AgentClient extends BaseClient {
}
}
/** Silent method, as `recordCollectedUsage` is used instead */
async recordTokenUsage() {}
/**
* @param {object} params
* @param {number} params.promptTokens
* @param {number} params.completionTokens
* @param {OpenAIUsageMetadata} [params.usage]
* @param {string} [params.model]
* @param {string} [params.context='message']
* @returns {Promise<void>}
*/
async recordTokenUsage({ model, promptTokens, completionTokens, usage, context = 'message' }) {
try {
await spendTokens(
{
model,
context,
conversationId: this.conversationId,
user: this.user ?? this.options.req.user?.id,
endpointTokenConfig: this.options.endpointTokenConfig,
},
{ promptTokens, completionTokens },
);
if (
usage &&
typeof usage === 'object' &&
'reasoning_tokens' in usage &&
typeof usage.reasoning_tokens === 'number'
) {
await spendTokens(
{
model,
context: 'reasoning',
conversationId: this.conversationId,
user: this.user ?? this.options.req.user?.id,
endpointTokenConfig: this.options.endpointTokenConfig,
},
{ completionTokens: usage.reasoning_tokens },
);
}
} catch (error) {
logger.error(
'[api/server/controllers/agents/client.js #recordTokenUsage] Error recording token usage',
error,
);
}
}
getEncoding() {
return 'o200k_base';

View File

@@ -1,10 +1,10 @@
// errorHandler.js
const { logger } = require('~/config');
const getLogStores = require('~/cache/getLogStores');
const { logger } = require('@librechat/data-schemas');
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 { sendResponse } = require('~/server/utils');
const getLogStores = require('~/cache/getLogStores');
/**
* @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

@@ -1,106 +0,0 @@
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

@@ -1,3 +1,5 @@
const { sendEvent } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { Constants } = require('librechat-data-provider');
const {
handleAbortError,
@@ -5,17 +7,19 @@ 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 {
text,
isRegenerate,
endpointOption,
conversationId,
isContinued = false,
editedContent = null,
parentMessageId = null,
overrideParentMessageId = null,
responseMessageId: editedResponseMessageId = null,
} = req.body;
let sender;
@@ -67,7 +71,7 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
handler();
}
} catch (e) {
// Ignore cleanup errors
logger.error('[AgentController] Error in cleanup handler', e);
}
}
}
@@ -155,7 +159,7 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
try {
res.removeListener('close', closeHandler);
} catch (e) {
// Ignore
logger.error('[AgentController] Error removing close listener', e);
}
});
@@ -163,10 +167,15 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
user: userId,
onStart,
getReqData,
isContinued,
isRegenerate,
editedContent,
conversationId,
parentMessageId,
abortController,
overrideParentMessageId,
isEdited: !!editedContent,
responseMessageId: editedResponseMessageId,
progressOptions: {
res,
},
@@ -206,7 +215,7 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
// Create a new response object with minimal copies
const finalResponse = { ...response };
sendMessage(res, {
sendEvent(res, {
final: true,
conversation,
title: conversation.title,
@@ -228,7 +237,7 @@ const AgentController = async (req, res, next, initializeClient, addTitle) => {
// Save user message if needed
if (!client.skipSaveUserMessage) {
await saveMessage(req, userMessage, {
context: 'api/server/controllers/agents/request.js - don\'t skip saving user message',
context: "api/server/controllers/agents/request.js - don't skip saving user message",
});
}

View File

@@ -1,94 +0,0 @@
const { Run, Providers } = require('@librechat/agents');
const { providerEndpointMap, KnownEndpoints } = require('librechat-data-provider');
/**
* @typedef {import('@librechat/agents').t} t
* @typedef {import('@librechat/agents').StandardGraphConfig} StandardGraphConfig
* @typedef {import('@librechat/agents').StreamEventData} StreamEventData
* @typedef {import('@librechat/agents').EventHandler} EventHandler
* @typedef {import('@librechat/agents').GraphEvents} GraphEvents
* @typedef {import('@librechat/agents').LLMConfig} LLMConfig
* @typedef {import('@librechat/agents').IState} IState
*/
const customProviders = new Set([
Providers.XAI,
Providers.OLLAMA,
Providers.DEEPSEEK,
Providers.OPENROUTER,
]);
/**
* Creates a new Run instance with custom handlers and configuration.
*
* @param {Object} options - The options for creating the Run instance.
* @param {ServerRequest} [options.req] - The server request.
* @param {string | undefined} [options.runId] - Optional run ID; otherwise, a new run ID will be generated.
* @param {Agent} options.agent - The agent for this run.
* @param {AbortSignal} options.signal - The signal for this run.
* @param {Record<GraphEvents, EventHandler> | undefined} [options.customHandlers] - Custom event handlers.
* @param {boolean} [options.streaming=true] - Whether to use streaming.
* @param {boolean} [options.streamUsage=true] - Whether to stream usage information.
* @returns {Promise<Run<IState>>} A promise that resolves to a new Run instance.
*/
async function createRun({
runId,
agent,
signal,
customHandlers,
streaming = true,
streamUsage = true,
}) {
const provider = providerEndpointMap[agent.provider] ?? agent.provider;
/** @type {LLMConfig} */
const llmConfig = Object.assign(
{
provider,
streaming,
streamUsage,
},
agent.model_parameters,
);
/** Resolves issues with new OpenAI usage field */
if (
customProviders.has(agent.provider) ||
(agent.provider === Providers.OPENAI && agent.endpoint !== agent.provider)
) {
llmConfig.streamUsage = false;
llmConfig.usage = true;
}
/** @type {'reasoning_content' | 'reasoning'} */
let reasoningKey;
if (
llmConfig.configuration?.baseURL?.includes(KnownEndpoints.openrouter) ||
(agent.endpoint && agent.endpoint.toLowerCase().includes(KnownEndpoints.openrouter))
) {
reasoningKey = 'reasoning';
}
/** @type {StandardGraphConfig} */
const graphConfig = {
signal,
llmConfig,
reasoningKey,
tools: agent.tools,
instructions: agent.instructions,
additional_instructions: agent.additional_instructions,
// toolEnd: agent.end_after_tools,
};
// TEMPORARY FOR TESTING
if (agent.provider === Providers.ANTHROPIC || agent.provider === Providers.BEDROCK) {
graphConfig.streamBuffer = 2000;
}
return Run.create({
runId,
graphConfig,
customHandlers,
});
}
module.exports = { createRun };

View File

@@ -1,34 +1,44 @@
const { z } = require('zod');
const fs = require('fs').promises;
const { nanoid } = require('nanoid');
const { logger, PermissionBits } = require('@librechat/data-schemas');
const { agentCreateSchema, agentUpdateSchema } = require('@librechat/api');
const {
Tools,
Constants,
FileContext,
FileSources,
SystemRoles,
FileSources,
EToolResources,
actionDelimiter,
removeNullishValues,
} = require('librechat-data-provider');
const {
getAgent,
createAgent,
updateAgent,
deleteAgent,
getListAgents,
getListAgentsByAccess,
countPromotedAgents,
revertAgentVersion,
} = require('~/models/Agent');
const { uploadImageBuffer, filterFile } = require('~/server/services/Files/process');
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 { updateAgentProjects } = require('~/models/Agent');
const { getProjectByName } = require('~/models/Project');
const { getCachedTools } = require('~/server/services/Config');
const { deleteFileByFilter } = require('~/models/File');
const { revertAgentVersion } = require('~/models/Agent');
const { logger } = require('~/config');
const { getCategoriesWithCounts } = require('~/models');
const systemTools = {
[Tools.execute_code]: true,
[Tools.file_search]: true,
[Tools.web_search]: true,
};
/**
@@ -41,13 +51,18 @@ const systemTools = {
*/
const createAgentHandler = async (req, res) => {
try {
const { tools = [], provider, name, description, instructions, model, ...agentData } = req.body;
const validatedData = agentCreateSchema.parse(req.body);
const { tools = [], ...agentData } = removeNullishValues(validatedData);
const { id: userId } = req.user;
agentData.id = `agent_${nanoid()}`;
agentData.author = userId;
agentData.tools = [];
const availableTools = await getCachedTools({ includeGlobal: true });
for (const tool of tools) {
if (req.app.locals.availableTools[tool]) {
if (availableTools[tool]) {
agentData.tools.push(tool);
}
@@ -56,19 +71,34 @@ const createAgentHandler = async (req, res) => {
}
}
Object.assign(agentData, {
author: userId,
name,
description,
instructions,
provider,
model,
});
agentData.id = `agent_${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) {
if (error instanceof z.ZodError) {
logger.error('[/Agents] Validation error', error.errors);
return res.status(400).json({ error: 'Invalid request data', details: error.errors });
}
logger.error('[/Agents] Error creating agent', error);
res.status(500).json({ error: error.message });
}
@@ -85,21 +115,14 @@ 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' });
@@ -116,23 +139,45 @@ 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);
@@ -152,36 +197,21 @@ 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 validatedData = agentUpdateSchema.parse(req.body);
const { _id, ...updateData } = removeNullishValues(validatedData);
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',
});
}
let updatedAgent =
Object.keys(updateData).length > 0
? await updateAgent({ id }, updateData, { updatingUserId: req.user.id })
? await updateAgent({ id }, updateData, {
updatingUserId: req.user.id,
})
: existingAgent;
if (projectIds || removeProjectIds) {
updatedAgent = await updateAgentProjects({
user: req.user,
agentId: id,
projectIds,
removeProjectIds,
});
}
if (updatedAgent.author) {
updatedAgent.author = updatedAgent.author.toString();
}
@@ -192,6 +222,11 @@ const updateAgentHandler = async (req, res) => {
return res.json(updatedAgent);
} catch (error) {
if (error instanceof z.ZodError) {
logger.error('[/Agents/:id] Validation error', error.errors);
return res.status(400).json({ error: 'Invalid request data', details: error.errors });
}
logger.error('[/Agents/:id] Error updating Agent', error);
if (error.statusCode === 409) {
@@ -234,6 +269,8 @@ const duplicateAgentHandler = async (req, res) => {
createdAt: _createdAt,
updatedAt: _updatedAt,
tool_resources: _tool_resources = {},
versions: _versions,
__v: _v,
...cloneData
} = agent;
cloneData.name = `${agent.name} (${new Date().toLocaleString('en-US', {
@@ -299,6 +336,26 @@ 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,
@@ -325,7 +382,7 @@ 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);
@@ -334,7 +391,7 @@ 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
@@ -343,9 +400,64 @@ const deleteAgentHandler = async (req, res) => {
*/
const getListAgentsHandler = async (req, res) => {
try {
const data = await getListAgents({
author: req.user.id,
const userId = req.user.id;
const { category, search, limit, cursor, promoted } = req.query;
let requiredPermission = req.query.requiredPermission;
if (typeof requiredPermission === 'string') {
requiredPermission = parseInt(requiredPermission, 10);
if (isNaN(requiredPermission)) {
requiredPermission = PermissionBits.VIEW;
}
} else if (typeof requiredPermission !== 'number') {
requiredPermission = PermissionBits.VIEW;
}
// Base filter
const filter = {};
// Handle category filter - only apply if category is defined
if (category !== undefined && category.trim() !== '') {
filter.category = category;
}
// Handle promoted filter - only from query param
if (promoted === '1') {
filter.is_promoted = true;
} else if (promoted === '0') {
filter.is_promoted = { $ne: true };
}
// Handle search filter
if (search && search.trim() !== '') {
filter.$or = [
{ name: { $regex: search.trim(), $options: 'i' } },
{ description: { $regex: search.trim(), $options: 'i' } },
];
}
// Get agent IDs the user has VIEW access to via ACL
const accessibleIds = await findAccessibleResources({
userId,
resourceType: 'agent',
requiredPermissions: requiredPermission,
});
const publiclyAccessibleIds = await findPubliclyAccessibleResources({
resourceType: 'agent',
requiredPermissions: PermissionBits.VIEW,
});
// Use the new ACL-aware function
const data = await getListAgentsByAccess({
accessibleIds,
otherParams: filter,
limit,
after: cursor,
});
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);
@@ -372,21 +484,45 @@ const uploadAgentAvatarHandler = async (req, res) => {
return res.status(400).json({ message: 'Agent ID is required' });
}
const isAdmin = req.user.role === SystemRoles.ADMIN;
const existingAgent = await getAgent({ id: agent_id });
if (!existingAgent) {
return res.status(404).json({ error: 'Agent not found' });
}
const isAuthor = existingAgent.author.toString() === req.user.id;
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',
});
}
const buffer = await fs.readFile(req.file.path);
const image = await uploadImageBuffer({
req,
context: FileContext.avatar,
metadata: { buffer },
const fileStrategy = req.app.locals.fileStrategy;
const resizedBuffer = await resizeAvatar({
userId: req.user.id,
input: buffer,
});
let _avatar;
try {
const agent = await getAgent({ id: agent_id });
_avatar = agent.avatar;
} catch (error) {
logger.error('[/:agent_id/avatar] Error fetching agent', error);
_avatar = {};
}
const { processAvatar } = getStrategyFunctions(fileStrategy);
const avatarUrl = await processAvatar({
buffer: resizedBuffer,
userId: req.user.id,
manual: 'false',
agentId: agent_id,
});
const image = {
filepath: avatarUrl,
source: fileStrategy,
};
let _avatar = existingAgent.avatar;
if (_avatar && _avatar.source) {
const { deleteFile } = getStrategyFunctions(_avatar.source);
@@ -403,12 +539,12 @@ const uploadAgentAvatarHandler = async (req, res) => {
const data = {
avatar: {
filepath: image.filepath,
source: req.app.locals.fileStrategy,
source: image.source,
},
};
promises.push(
await updateAgent({ id: agent_id, author: req.user.id }, data, {
await updateAgent({ id: agent_id }, data, {
updatingUserId: req.user.id,
}),
);
@@ -423,7 +559,7 @@ const uploadAgentAvatarHandler = async (req, res) => {
try {
await fs.unlink(req.file.path);
logger.debug('[/:agent_id/avatar] Temp. image upload file deleted');
} catch (error) {
} catch {
logger.debug('[/:agent_id/avatar] Temp. image upload file already deleted');
}
}
@@ -488,7 +624,48 @@ const revertAgentVersionHandler = async (req, res) => {
res.status(500).json({ error: error.message });
}
};
/**
* Get all agent categories with counts
*
* @param {Object} _req - Express request object (unused)
* @param {Object} res - Express response object
*/
const getAgentCategories = async (_req, res) => {
try {
const categories = await getCategoriesWithCounts();
const promotedCount = await countPromotedAgents();
const formattedCategories = categories.map((category) => ({
value: category.value,
label: category.label,
count: category.agentCount,
description: category.description,
}));
if (promotedCount > 0) {
formattedCategories.unshift({
value: 'promoted',
label: 'Promoted',
count: promotedCount,
description: 'Our recommended agents',
});
}
formattedCategories.push({
value: 'all',
label: 'All',
description: 'All available agents',
});
res.status(200).json(formattedCategories);
} catch (error) {
logger.error('[/Agents/Marketplace] Error fetching agent categories:', error);
res.status(500).json({
error: 'Failed to fetch agent categories',
userMessage: 'Unable to load categories. Please refresh the page.',
suggestion: 'Try refreshing the page or check your network connection',
});
}
};
module.exports = {
createAgent: createAgentHandler,
getAgent: getAgentHandler,
@@ -498,4 +675,5 @@ module.exports = {
getListAgents: getListAgentsHandler,
uploadAgentAvatar: uploadAgentAvatarHandler,
revertAgentVersion: revertAgentVersionHandler,
getAgentCategories,
};

View File

@@ -0,0 +1,574 @@
const mongoose = require('mongoose');
const { v4: uuidv4 } = require('uuid');
const { MongoMemoryServer } = require('mongodb-memory-server');
const { agentSchema } = require('@librechat/data-schemas');
// Only mock the dependencies that are not database-related
jest.mock('~/server/services/Config', () => ({
getCachedTools: jest.fn().mockResolvedValue({
web_search: true,
execute_code: true,
file_search: true,
}),
}));
jest.mock('~/models/Project', () => ({
getProjectByName: jest.fn().mockResolvedValue(null),
}));
jest.mock('~/server/services/Files/strategies', () => ({
getStrategyFunctions: jest.fn(),
}));
jest.mock('~/server/services/Files/images/avatar', () => ({
resizeAvatar: jest.fn(),
}));
jest.mock('~/server/services/Files/S3/crud', () => ({
refreshS3Url: jest.fn(),
}));
jest.mock('~/server/services/Files/process', () => ({
filterFile: jest.fn(),
}));
jest.mock('~/models/Action', () => ({
updateAction: jest.fn(),
getActions: jest.fn().mockResolvedValue([]),
}));
jest.mock('~/models/File', () => ({
deleteFileByFilter: jest.fn(),
}));
const { createAgent: createAgentHandler, updateAgent: updateAgentHandler } = require('./v1');
/**
* @type {import('mongoose').Model<import('@librechat/data-schemas').IAgent>}
*/
let Agent;
describe('Agent Controllers - Mass Assignment Protection', () => {
let mongoServer;
let mockReq;
let mockRes;
beforeAll(async () => {
mongoServer = await MongoMemoryServer.create();
const mongoUri = mongoServer.getUri();
await mongoose.connect(mongoUri);
Agent = mongoose.models.Agent || mongoose.model('Agent', agentSchema);
}, 20000);
afterAll(async () => {
await mongoose.disconnect();
await mongoServer.stop();
});
beforeEach(async () => {
await Agent.deleteMany({});
// Reset all mocks
jest.clearAllMocks();
// Setup mock request and response objects
mockReq = {
user: {
id: new mongoose.Types.ObjectId().toString(),
role: 'USER',
},
body: {},
params: {},
app: {
locals: {
fileStrategy: 'local',
},
},
};
mockRes = {
status: jest.fn().mockReturnThis(),
json: jest.fn().mockReturnThis(),
};
});
describe('createAgentHandler', () => {
test('should create agent with allowed fields only', async () => {
const validData = {
name: 'Test Agent',
description: 'A test agent',
instructions: 'Be helpful',
provider: 'openai',
model: 'gpt-4',
tools: ['web_search'],
model_parameters: { temperature: 0.7 },
tool_resources: {
file_search: { file_ids: ['file1', 'file2'] },
},
};
mockReq.body = validData;
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(201);
expect(mockRes.json).toHaveBeenCalled();
const createdAgent = mockRes.json.mock.calls[0][0];
expect(createdAgent.name).toBe('Test Agent');
expect(createdAgent.description).toBe('A test agent');
expect(createdAgent.provider).toBe('openai');
expect(createdAgent.model).toBe('gpt-4');
expect(createdAgent.author.toString()).toBe(mockReq.user.id);
expect(createdAgent.tools).toContain('web_search');
// Verify in database
const agentInDb = await Agent.findOne({ id: createdAgent.id });
expect(agentInDb).toBeDefined();
expect(agentInDb.name).toBe('Test Agent');
expect(agentInDb.author.toString()).toBe(mockReq.user.id);
});
test('should reject creation with unauthorized fields (mass assignment protection)', async () => {
const maliciousData = {
// Required fields
provider: 'openai',
model: 'gpt-4',
name: 'Malicious Agent',
// Unauthorized fields that should be stripped
author: new mongoose.Types.ObjectId().toString(), // Should not be able to set author
authorName: 'Hacker', // Should be stripped
isCollaborative: true, // Should be stripped on creation
versions: [], // Should be stripped
_id: new mongoose.Types.ObjectId(), // Should be stripped
id: 'custom_agent_id', // Should be overridden
createdAt: new Date('2020-01-01'), // Should be stripped
updatedAt: new Date('2020-01-01'), // Should be stripped
};
mockReq.body = maliciousData;
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(201);
const createdAgent = mockRes.json.mock.calls[0][0];
// Verify unauthorized fields were not set
expect(createdAgent.author.toString()).toBe(mockReq.user.id); // Should be the request user, not the malicious value
expect(createdAgent.authorName).toBeUndefined();
expect(createdAgent.isCollaborative).toBeFalsy();
expect(createdAgent.versions).toHaveLength(1); // Should have exactly 1 version from creation
expect(createdAgent.id).not.toBe('custom_agent_id'); // Should have generated ID
expect(createdAgent.id).toMatch(/^agent_/); // Should have proper prefix
// Verify timestamps are recent (not the malicious dates)
const createdTime = new Date(createdAgent.createdAt).getTime();
const now = Date.now();
expect(now - createdTime).toBeLessThan(5000); // Created within last 5 seconds
// Verify in database
const agentInDb = await Agent.findOne({ id: createdAgent.id });
expect(agentInDb.author.toString()).toBe(mockReq.user.id);
expect(agentInDb.authorName).toBeUndefined();
});
test('should validate required fields', async () => {
const invalidData = {
name: 'Missing Required Fields',
// Missing provider and model
};
mockReq.body = invalidData;
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(400);
expect(mockRes.json).toHaveBeenCalledWith(
expect.objectContaining({
error: 'Invalid request data',
details: expect.any(Array),
}),
);
// Verify nothing was created in database
const count = await Agent.countDocuments();
expect(count).toBe(0);
});
test('should handle tool_resources validation', async () => {
const dataWithInvalidToolResources = {
provider: 'openai',
model: 'gpt-4',
name: 'Agent with Tool Resources',
tool_resources: {
// Valid resources
file_search: {
file_ids: ['file1', 'file2'],
vector_store_ids: ['vs1'],
},
execute_code: {
file_ids: ['file3'],
},
// Invalid resource (should be stripped by schema)
invalid_resource: {
file_ids: ['file4'],
},
},
};
mockReq.body = dataWithInvalidToolResources;
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(201);
const createdAgent = mockRes.json.mock.calls[0][0];
expect(createdAgent.tool_resources).toBeDefined();
expect(createdAgent.tool_resources.file_search).toBeDefined();
expect(createdAgent.tool_resources.execute_code).toBeDefined();
expect(createdAgent.tool_resources.invalid_resource).toBeUndefined(); // Should be stripped
// Verify in database
const agentInDb = await Agent.findOne({ id: createdAgent.id });
expect(agentInDb.tool_resources.invalid_resource).toBeUndefined();
});
test('should handle avatar validation', async () => {
const dataWithAvatar = {
provider: 'openai',
model: 'gpt-4',
name: 'Agent with Avatar',
avatar: {
filepath: 'https://example.com/avatar.png',
source: 's3',
},
};
mockReq.body = dataWithAvatar;
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(201);
const createdAgent = mockRes.json.mock.calls[0][0];
expect(createdAgent.avatar).toEqual({
filepath: 'https://example.com/avatar.png',
source: 's3',
});
});
test('should handle invalid avatar format', async () => {
const dataWithInvalidAvatar = {
provider: 'openai',
model: 'gpt-4',
name: 'Agent with Invalid Avatar',
avatar: 'just-a-string', // Invalid format
};
mockReq.body = dataWithInvalidAvatar;
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(400);
expect(mockRes.json).toHaveBeenCalledWith(
expect.objectContaining({
error: 'Invalid request data',
}),
);
});
});
describe('updateAgentHandler', () => {
let existingAgentId;
let existingAgentAuthorId;
beforeEach(async () => {
// Create an existing agent for update tests
existingAgentAuthorId = new mongoose.Types.ObjectId();
const agent = await Agent.create({
id: `agent_${uuidv4()}`,
name: 'Original Agent',
provider: 'openai',
model: 'gpt-3.5-turbo',
author: existingAgentAuthorId,
description: 'Original description',
isCollaborative: false,
versions: [
{
name: 'Original Agent',
provider: 'openai',
model: 'gpt-3.5-turbo',
description: 'Original description',
createdAt: new Date(),
updatedAt: new Date(),
},
],
});
existingAgentId = agent.id;
});
test('should update agent with allowed fields only', async () => {
mockReq.user.id = existingAgentAuthorId.toString(); // Set as author
mockReq.params.id = existingAgentId;
mockReq.body = {
name: 'Updated Agent',
description: 'Updated description',
model: 'gpt-4',
isCollaborative: true, // This IS allowed in updates
};
await updateAgentHandler(mockReq, mockRes);
expect(mockRes.status).not.toHaveBeenCalledWith(400);
expect(mockRes.status).not.toHaveBeenCalledWith(403);
expect(mockRes.json).toHaveBeenCalled();
const updatedAgent = mockRes.json.mock.calls[0][0];
expect(updatedAgent.name).toBe('Updated Agent');
expect(updatedAgent.description).toBe('Updated description');
expect(updatedAgent.model).toBe('gpt-4');
expect(updatedAgent.isCollaborative).toBe(true);
expect(updatedAgent.author).toBe(existingAgentAuthorId.toString());
// Verify in database
const agentInDb = await Agent.findOne({ id: existingAgentId });
expect(agentInDb.name).toBe('Updated Agent');
expect(agentInDb.isCollaborative).toBe(true);
});
test('should reject update with unauthorized fields (mass assignment protection)', async () => {
mockReq.user.id = existingAgentAuthorId.toString();
mockReq.params.id = existingAgentId;
mockReq.body = {
name: 'Updated Name',
// Unauthorized fields that should be stripped
author: new mongoose.Types.ObjectId().toString(), // Should not be able to change author
authorName: 'Hacker', // Should be stripped
id: 'different_agent_id', // Should be stripped
_id: new mongoose.Types.ObjectId(), // Should be stripped
versions: [], // Should be stripped
createdAt: new Date('2020-01-01'), // Should be stripped
updatedAt: new Date('2020-01-01'), // Should be stripped
};
await updateAgentHandler(mockReq, mockRes);
expect(mockRes.json).toHaveBeenCalled();
const updatedAgent = mockRes.json.mock.calls[0][0];
// Verify unauthorized fields were not changed
expect(updatedAgent.author).toBe(existingAgentAuthorId.toString()); // Should not have changed
expect(updatedAgent.authorName).toBeUndefined();
expect(updatedAgent.id).toBe(existingAgentId); // Should not have changed
expect(updatedAgent.name).toBe('Updated Name'); // Only this should have changed
// Verify in database
const agentInDb = await Agent.findOne({ id: existingAgentId });
expect(agentInDb.author.toString()).toBe(existingAgentAuthorId.toString());
expect(agentInDb.id).toBe(existingAgentId);
});
test('should allow admin to update any agent', async () => {
const adminUserId = new mongoose.Types.ObjectId().toString();
mockReq.user.id = adminUserId;
mockReq.user.role = 'ADMIN'; // Set as admin
mockReq.params.id = existingAgentId;
mockReq.body = {
name: 'Admin Update',
};
await updateAgentHandler(mockReq, mockRes);
expect(mockRes.status).not.toHaveBeenCalledWith(403);
expect(mockRes.json).toHaveBeenCalled();
const updatedAgent = mockRes.json.mock.calls[0][0];
expect(updatedAgent.name).toBe('Admin Update');
});
test('should handle projectIds updates', async () => {
mockReq.user.id = existingAgentAuthorId.toString();
mockReq.params.id = existingAgentId;
const projectId1 = new mongoose.Types.ObjectId().toString();
const projectId2 = new mongoose.Types.ObjectId().toString();
mockReq.body = {
projectIds: [projectId1, projectId2],
};
await updateAgentHandler(mockReq, mockRes);
expect(mockRes.json).toHaveBeenCalled();
const updatedAgent = mockRes.json.mock.calls[0][0];
expect(updatedAgent).toBeDefined();
// Note: updateAgentProjects requires more setup, so we just verify the handler doesn't crash
});
test('should validate tool_resources in updates', async () => {
mockReq.user.id = existingAgentAuthorId.toString();
mockReq.params.id = existingAgentId;
mockReq.body = {
tool_resources: {
ocr: {
file_ids: ['ocr1', 'ocr2'],
},
execute_code: {
file_ids: ['img1'],
},
// Invalid tool resource
invalid_tool: {
file_ids: ['invalid'],
},
},
};
await updateAgentHandler(mockReq, mockRes);
expect(mockRes.json).toHaveBeenCalled();
const updatedAgent = mockRes.json.mock.calls[0][0];
expect(updatedAgent.tool_resources).toBeDefined();
expect(updatedAgent.tool_resources.ocr).toBeDefined();
expect(updatedAgent.tool_resources.execute_code).toBeDefined();
expect(updatedAgent.tool_resources.invalid_tool).toBeUndefined();
});
test('should return 404 for non-existent agent', async () => {
mockReq.user.id = existingAgentAuthorId.toString();
mockReq.params.id = `agent_${uuidv4()}`; // Non-existent ID
mockReq.body = {
name: 'Update Non-existent',
};
await updateAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(404);
expect(mockRes.json).toHaveBeenCalledWith({ error: 'Agent not found' });
});
test('should handle validation errors properly', async () => {
mockReq.user.id = existingAgentAuthorId.toString();
mockReq.params.id = existingAgentId;
mockReq.body = {
model_parameters: 'invalid-not-an-object', // Should be an object
};
await updateAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(400);
expect(mockRes.json).toHaveBeenCalledWith(
expect.objectContaining({
error: 'Invalid request data',
details: expect.any(Array),
}),
);
});
});
describe('Mass Assignment Attack Scenarios', () => {
test('should prevent setting system fields during creation', async () => {
const systemFields = {
provider: 'openai',
model: 'gpt-4',
name: 'System Fields Test',
// System fields that should never be settable by users
__v: 99,
_id: new mongoose.Types.ObjectId(),
versions: [
{
name: 'Fake Version',
provider: 'fake',
model: 'fake-model',
},
],
};
mockReq.body = systemFields;
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(201);
const createdAgent = mockRes.json.mock.calls[0][0];
// Verify system fields were not affected
expect(createdAgent.__v).not.toBe(99);
expect(createdAgent.versions).toHaveLength(1); // Should only have the auto-created version
expect(createdAgent.versions[0].name).toBe('System Fields Test'); // From actual creation
expect(createdAgent.versions[0].provider).toBe('openai'); // From actual creation
// Verify in database
const agentInDb = await Agent.findOne({ id: createdAgent.id });
expect(agentInDb.__v).not.toBe(99);
});
test('should prevent author hijacking', async () => {
const originalAuthorId = new mongoose.Types.ObjectId();
const attackerId = new mongoose.Types.ObjectId();
// Admin creates an agent
mockReq.user.id = originalAuthorId.toString();
mockReq.user.role = 'ADMIN';
mockReq.body = {
provider: 'openai',
model: 'gpt-4',
name: 'Admin Agent',
author: attackerId.toString(), // Trying to set different author
};
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(201);
const createdAgent = mockRes.json.mock.calls[0][0];
// Author should be the actual user, not the attempted value
expect(createdAgent.author.toString()).toBe(originalAuthorId.toString());
expect(createdAgent.author.toString()).not.toBe(attackerId.toString());
// Verify in database
const agentInDb = await Agent.findOne({ id: createdAgent.id });
expect(agentInDb.author.toString()).toBe(originalAuthorId.toString());
});
test('should strip unknown fields to prevent future vulnerabilities', async () => {
mockReq.body = {
provider: 'openai',
model: 'gpt-4',
name: 'Future Proof Test',
// Unknown fields that might be added in future
superAdminAccess: true,
bypassAllChecks: true,
internalFlag: 'secret',
futureFeature: 'exploit',
};
await createAgentHandler(mockReq, mockRes);
expect(mockRes.status).toHaveBeenCalledWith(201);
const createdAgent = mockRes.json.mock.calls[0][0];
// Verify unknown fields were stripped
expect(createdAgent.superAdminAccess).toBeUndefined();
expect(createdAgent.bypassAllChecks).toBeUndefined();
expect(createdAgent.internalFlag).toBeUndefined();
expect(createdAgent.futureFeature).toBeUndefined();
// Also check in database
const agentInDb = await Agent.findOne({ id: createdAgent.id }).lean();
expect(agentInDb.superAdminAccess).toBeUndefined();
expect(agentInDb.bypassAllChecks).toBeUndefined();
expect(agentInDb.internalFlag).toBeUndefined();
expect(agentInDb.futureFeature).toBeUndefined();
});
});
});

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