Backmesh Open Source Backend as a Service for AI Applications

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What is Backmesh?

Backmesh is an open-source Backend as a Service (BaaS) designed to securely manage and monitor Large Language Model (LLM) API calls from within applications. It offers robust security features, including JWT authentication, configurable rate limits per user, and API resource access control, to protect sensitive data and prevent abuse.

The platform provides built-in LLM user analytics, giving insights into usage patterns. This helps to optimize costs and improve user satisfaction without the use of additional packages.

Features

JWT Authentication: Verifies requests with JWTs from the app's authentication provider.
Rate Limits Per User: Configurable per-user rate limits to prevent abuse of the LLM API.
API Resource Access Control: Protects sensitive API resources, ensuring users only access resources they created.
LLM User Analytics: Provides insights into LLM API usage patterns without requiring additional packages.

Use Cases

Securely integrating LLM APIs into web and mobile applications.
Monitoring and analyzing LLM API usage on a per-user basis.
Preventing abuse and controlling costs associated with LLM API access.
Protecting sensitive data and resources within AI applications.

FAQs

What is Backmesh?

Backmesh is a thoroughly tested BaaS that offers an LLM API Gatekeeper to let your app safely call LLM APIs.
How is the LLM API protected by Backmesh?

Requests are verified with JWT, and it has configurable per-user rate limits and sensitive API resources are protected so only the users that create them can continue to access them.