Query Client

Access Requirements

To interact with an AI model, an end-user will need a unique access key—called a Token—provided by the AI service provider using LatticaAI. This token is crucial for establishing secure connections with the models and maintaining private communication through the Query Client.

Try Our Demo!

LatticaAI offers demo models using a predefined token. No special permissions needed—just explore the Query Client’s features and experience secure, encrypted interactions firsthand.

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Interaction Options

LatticaAI offers a TypeScript SDK for queries within web environments and a Python SDK for integrating secure query capabilities in native applications. We also maintain a GitHub repository, containing the core Fully Homomorphic Encryption (FHE) logic, which covers key generation, encryption, and decryption.

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Query Client: Key Functions and Flow

The Query Client process consists of three stages:

1

Environment Preparation

Set up an environment to support the Query Client.

2

One-Time Action: Cryptographic Key Generation

• Once the environment is ready, generate a pair of cryptographic keys—an evaluation key and a secret key.

  • The secret key protects all future interactions with the AI model, securing your data every step of the way.

  • The evaluation key is public and accelerates the computation of these interactions to reduce latency.

• This key generation is a one-time process and doesn't need to be repeated for each query.

3

Ongoing Process: Query Execution

With the environment ready and keys generated, you can start executing queries. The Query Client enables you to run multiple queries securely, using the same pair of generated keys to protect all data exchanges throughout your session.

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