Backmesh

What is Backmesh?

Backmesh is a thoroughly tested Backend as a Service (BaaS) designed to provide a secure gateway for applications to call Large Language Model (LLM) APIs. It ensures that private keys are not exposed while allowing seamless integration with various LLM SDKs. This service is particularly beneficial for developers looking to enhance their AI applications with robust security measures.

Key features of Backmesh include:

JWT Authentication to verify requests from the app's authentication provider, ensuring that only authorized users can access the LLM API.

Configurable per-user rate limits to prevent abuse, allowing developers to set specific limits on API calls per user.

Access control for sensitive API resources, ensuring that only the users who create specific resources can access them.

Backmesh Features

Backmesh is an open-source Backend as a Service (BaaS) designed specifically for AI applications, providing a secure way to call Large Language Model (LLM) APIs without exposing private keys. It acts as an API Gatekeeper, ensuring that only authenticated users can access the LLM APIs through robust security measures.

Key features and capabilities of Backmesh include:

JWT Authentication: Requests are verified using JSON Web Tokens from the app's authentication provider, ensuring that only authorized users can access the LLM API.

Configurable Rate Limits: Per-user rate limits can be set to prevent abuse, such as limiting the number of OpenAI API calls per user per hour.

API Resource Access Control: Sensitive resources like Files and Threads are protected, allowing only the users who created them to access them.

LLM User Analytics: All API calls are instrumented to help identify usage patterns, reduce costs, and enhance user satisfaction within AI applications.

Why Backmesh?

Backmesh offers a robust Backend as a Service (BaaS) solution specifically designed for AI applications, providing a secure way to call LLM APIs without exposing sensitive private keys. This service is particularly beneficial for developers looking to integrate AI capabilities into their applications while maintaining user privacy and security.

Some of the key advantages of using Backmesh include:

JWT Authentication ensures that only authenticated users can access the LLM API, enhancing security.

Configurable per-user rate limits help prevent abuse and manage API usage effectively.

Access control for sensitive API resources ensures that only the users who create them can access them, protecting user data.

Comprehensive LLM user analytics allow developers to track usage patterns, optimize costs, and improve user satisfaction.

How to Use Backmesh

To get started with Backmesh, you can begin by signing up for a free 15-day trial, which allows you to explore its features without any initial investment. The platform is designed to help you securely call LLM APIs from your applications while protecting sensitive information such as private keys. Once you have signed up, you can access the comprehensive documentation that guides you through the setup process and various functionalities.

Backmesh offers several key features that enhance your experience and ensure secure API interactions:

JWT Authentication for secure access to LLM APIs.

Configurable per-user rate limits to prevent abuse.

Access control for sensitive API resources like Files and Threads.

LLM User Analytics to track usage patterns and improve application performance.

Ready to see what Backmesh can do for you?[@portabletext/react] Unknown block type "span", specify a component for it in the `components.types` propand experience the benefits firsthand.