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* feat: encrypt tenant Langfuse secret in admin config Add generic per-field secret encryption to the admin config layer: registered secret paths (langfuse.secretKey) are encrypted with encryptV3 on write and a non-secret fingerprint companion is stored. Admin config reads (base + per principal) redact registered secrets so they are never returned; the fingerprint is kept so the UI can show which key is configured. The Langfuse fanout read path decrypts the tenant secret before export. Adds secretKeyFingerprint to langfuseConfigSchema and tests for the encrypt/redact policy. * fix(api): secure admin config secret handling * fix(api): preserve encrypted langfuse config secrets * fix(api): couple config secret fingerprint deletion * fix(api): read langfuse fanout collector url from env * fix(api): display langfuse secret key hint * fix(api): remove langfuse secret fingerprint breadcrumbs * fix(api): use langfuse destination keys for tenant config * fix(api): remove langfuse config compatibility fallbacks * refactor(api): simplify langfuse secret helpers * refactor(api): simplify langfuse config secret handling * feat: in-app Langfuse connection settings panel Add a discoverable, admin-gated Langfuse connection panel inside LibreChat Settings (Dify-style): enable toggle, host, public key, masked write-only secret, configured-key fingerprint, and a test-connection action. Backed by a dedicated /api/admin/langfuse/connection endpoint that encrypts the secret at rest, returns metadata plus fingerprint on read, and validates credentials. Builds on the per-field encryption and fanout decrypt from the langfuse-config-encryption branch. * refactor: align Langfuse secret field to CustomUserVars pattern Use the established SecretInput plus Set/Unset state pill (com_ui_set/com_ui_unset) from the MCP CustomUserVars UI for the saved-secret state, instead of a bespoke masked input. * fix: drop em dash from saved-secret placeholder * feat: show loading state on Langfuse test connection button * feat: gate in-app Langfuse settings on fanout config and admin role * test: align Langfuse connection spec with SecretInput refactor * feat(langfuse): refine tenant connection controls * fix(admin): refine Langfuse connection verification * fix(langfuse): refine tenant connection settings * fix(langfuse): simplify export enablement controls * fix(langfuse): validate tenant export configuration * fix(langfuse): align startup fanout gate * fix(admin): time out Langfuse verification * fix(ui): rename Langfuse connection setting * fix(admin): enforce Langfuse config capability * feat(langfuse): require explicit tenant export activation * feat(langfuse): support single-tenant connection settings * fix(i18n): remove obsolete integrations label * fix(langfuse): authenticate ingestion verification * fix(langfuse): validate public key independently * fix(langfuse): localize connection errors * perf(config): skip Langfuse checks for non-admins * fix(langfuse): preserve trace sampling for feedback * test(langfuse): fix feedback sampling fixture * fix(langfuse): align secret preview field * fix(langfuse): harden connection settings state * fix(langfuse): preserve trace destination state * fix(langfuse): enforce tenant-wide routing invariants * fix(langfuse): preserve verified connection invariants * fix(langfuse): preserve stable project identity * fix(langfuse): warm project identity asynchronously --------- Co-authored-by: Ravi Kumar L <ravi.lazar@clickhouse.com> Co-authored-by: Danny Avila <danny@librechat.ai> |
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| LICENSE | ||
| package.json | ||
| README.md | ||
| tsconfig.build.json | ||
| tsconfig.json | ||
| tsconfig.spec.json | ||
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LibreChat Data Schemas Package
This package provides the database schemas, models, types, and methods for LibreChat using Mongoose ODM.
📁 Package Structure
packages/data-schemas/
├── src/
│ ├── schema/ # Mongoose schema definitions
│ ├── models/ # Model factory functions
│ ├── types/ # TypeScript type definitions
│ ├── methods/ # Database operation methods
│ ├── common/ # Shared constants and enums
│ ├── config/ # Configuration files (winston, etc.)
│ └── index.ts # Main package exports
🏗️ Architecture Patterns
1. Schema Files (src/schema/)
Schema files define the Mongoose schema structure. They follow these conventions:
- Naming: Use lowercase filenames (e.g.,
user.ts,accessRole.ts) - Imports: Import types from
~/typesfor TypeScript support - Exports: Export only the schema as default
Example:
import { Schema } from 'mongoose';
import type { IUser } from '~/types';
const userSchema = new Schema<IUser>(
{
name: { type: String },
email: { type: String, required: true },
// ... other fields
},
{ timestamps: true }
);
export default userSchema;
2. Type Definitions (src/types/)
Type files define TypeScript interfaces and types. They follow these conventions:
- Base Type: Define a plain type without Mongoose Document properties
- Document Interface: Extend the base type with Document and
_id - Enums/Constants: Place related enums in the type file or
common/if shared
Example:
import type { Document, Types } from 'mongoose';
export type User = {
name?: string;
email: string;
// ... other fields
};
export type IUser = User &
Document & {
_id: Types.ObjectId;
};
3. Model Factory Functions (src/models/)
Model files create Mongoose models using factory functions. They follow these conventions:
- Function Name:
create[EntityName]Model - Singleton Pattern: Check if model exists before creating
- Type Safety: Use the corresponding interface from types
Example:
import userSchema from '~/schema/user';
import type * as t from '~/types';
export function createUserModel(mongoose: typeof import('mongoose')) {
return mongoose.models.User || mongoose.model<t.IUser>('User', userSchema);
}
4. Database Methods (src/methods/)
Method files contain database operations for each entity. They follow these conventions:
- Function Name:
create[EntityName]Methods - Return Type: Export a type for the methods object
- Operations: Include CRUD operations and entity-specific queries
Example:
import type { Model } from 'mongoose';
import type { IUser } from '~/types';
export function createUserMethods(mongoose: typeof import('mongoose')) {
async function findUserById(userId: string): Promise<IUser | null> {
const User = mongoose.models.User as Model<IUser>;
return await User.findById(userId).lean();
}
async function createUser(userData: Partial<IUser>): Promise<IUser> {
const User = mongoose.models.User as Model<IUser>;
return await User.create(userData);
}
return {
findUserById,
createUser,
// ... other methods
};
}
export type UserMethods = ReturnType<typeof createUserMethods>;
5. Main Exports (src/index.ts)
The main index file exports:
createModels()- Factory function for all modelscreateMethods()- Factory function for all methods- Type exports from
~/types - Shared utilities and constants
🚀 Adding a New Entity
To add a new entity to the data-schemas package, follow these steps:
Step 1: Create the Type Definition
Create src/types/[entityName].ts:
import type { Document, Types } from 'mongoose';
export type EntityName = {
/** Field description */
fieldName: string;
// ... other fields
};
export type IEntityName = EntityName &
Document & {
_id: Types.ObjectId;
};
Step 2: Update Types Index
Add to src/types/index.ts:
export * from './entityName';
Step 3: Create the Schema
Create src/schema/[entityName].ts:
import { Schema } from 'mongoose';
import type { IEntityName } from '~/types';
const entityNameSchema = new Schema<IEntityName>(
{
fieldName: { type: String, required: true },
// ... other fields
},
{ timestamps: true }
);
export default entityNameSchema;
Step 4: Create the Model Factory
Create src/models/[entityName].ts:
import entityNameSchema from '~/schema/entityName';
import type * as t from '~/types';
export function createEntityNameModel(mongoose: typeof import('mongoose')) {
return (
mongoose.models.EntityName ||
mongoose.model<t.IEntityName>('EntityName', entityNameSchema)
);
}
Step 5: Update Models Index
Add to src/models/index.ts:
- Import the factory function:
import { createEntityNameModel } from './entityName';
- Add to the return object in
createModels():
EntityName: createEntityNameModel(mongoose),
Step 6: Create Database Methods
Create src/methods/[entityName].ts:
import type { Model, Types } from 'mongoose';
import type { IEntityName } from '~/types';
export function createEntityNameMethods(mongoose: typeof import('mongoose')) {
async function findEntityById(id: string | Types.ObjectId): Promise<IEntityName | null> {
const EntityName = mongoose.models.EntityName as Model<IEntityName>;
return await EntityName.findById(id).lean();
}
// ... other methods
return {
findEntityById,
// ... other methods
};
}
export type EntityNameMethods = ReturnType<typeof createEntityNameMethods>;
Step 7: Update Methods Index
Add to src/methods/index.ts:
- Import the methods:
import { createEntityNameMethods, type EntityNameMethods } from './entityName';
- Add to the return object in
createMethods():
...createEntityNameMethods(mongoose),
- Add to the
AllMethodstype:
export type AllMethods = UserMethods &
// ... other methods
EntityNameMethods;
📝 Best Practices
- Consistent Naming: Use lowercase for filenames, PascalCase for types/interfaces
- Type Safety: Always use TypeScript types, avoid
any - JSDoc Comments: Document complex fields and methods
- Indexes: Define database indexes in schema files for query performance
- Validation: Use Mongoose schema validation for data integrity
- Lean Queries: Use
.lean()for read operations when you don't need Mongoose document methods
🔧 Common Patterns
Enums and Constants
Place shared enums in src/common/:
// src/common/permissions.ts
export enum PermissionBits {
VIEW = 1,
EDIT = 2,
DELETE = 4,
SHARE = 8,
}
Compound Indexes
For complex queries, add compound indexes:
schema.index({ field1: 1, field2: 1 });
schema.index(
{ uniqueField: 1 },
{
unique: true,
partialFilterExpression: { uniqueField: { $exists: true } }
}
);
Virtual Properties
Add computed properties using virtuals:
schema.virtual('fullName').get(function() {
return `${this.firstName} ${this.lastName}`;
});
🧪 Testing
When adding new entities, ensure:
- Types compile without errors
- Models can be created successfully
- Methods handle edge cases (null checks, validation)
- Indexes are properly defined for query patterns