* 🧠 feat: Add Thinking Level Config for Gemini 3 Models
- Introduced a new setting for 'thinking level' in the Google configuration, allowing users to control the depth of reasoning for Gemini 3 models.
- Updated translation files to include the new 'thinking level' label and description.
- Enhanced the Google LLM configuration to support the new 'thinking level' parameter, ensuring compatibility with both Google and Vertex AI providers.
- Added necessary schema and type definitions to accommodate the new setting across the data provider and API layers.
* test: Google LLM Configuration for Gemini 3 Models
- Added tests to validate default thinking configuration for Gemini 3 models, ensuring `thinkingConfig` is set correctly without `thinkingLevel`.
- Implemented logic to ignore `thinkingBudget` for Gemini 3+ models, confirming that it does not affect the configuration.
- Included a test to verify that `gemini-2.9-flash` is not classified as a Gemini 3+ model, maintaining expected behavior for earlier versions.
- Updated existing tests to ensure comprehensive coverage of the new configurations and behaviors.
* fix: Update translation for Google LLM thinking settings
- Revised descriptions for 'thinking budget' and 'thinking level' in the English translation file to clarify their applicability to different Gemini model versions.
- Ensured that the new descriptions accurately reflect the functionality and usage of the settings for Gemini 2.5 and 3 models.
* docs: Update comments for Gemini 3+ thinking configuration
- Added detailed comments in the Google LLM configuration to clarify the differences between `thinkingLevel` and `thinkingBudget` for Gemini 3+ models.
- Explained the necessity of `includeThoughts` in Vertex AI requests and how it interacts with `thinkingConfig` for improved understanding of the configuration logic.
* fix: Update comment for Gemini 3 model versioning
- Corrected comment in the configuration file to reflect the proper versioning for Gemini models, changing "Gemini 3.0 Models" to "Gemini 3 Models" for clarity and consistency.
* fix: Update thinkingLevel schema for Gemini 3 Models
- Removed nullable option from the thinkingLevel field in the tConversationSchema to ensure it is always defined when present, aligning with the intended configuration for Gemini 3 models.
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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