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Backmesh

Backmesh is an open-source backend that secures your LLM API keys, preventing leaks and controlling costs. It offers JWT authentication, per-user rate limits, and API resource access control, ensuring only authorized users can access sensitive LLM functionalities. It also provides LLM user analytics.

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Backmesh provides a robust, open-source backend solution designed to safeguard your LLM API keys and manage their usage effectively. The primary goal is to prevent the accidental exposure of sensitive API keys within applications, which can lead to significant, unexpected costs. By acting as an API Gatekeeper, Backmesh allows your application to safely interact with LLM services.

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At its core, Backmesh employs military-grade encryption to protect your LLM API key. It integrates seamlessly with your existing authentication provider through JWT (JSON Web Token) authentication. This ensures that only authenticated users from your application can access the LLM API through Backmesh, adding a crucial layer of security.

To further prevent abuse and manage expenses, Backmesh offers configurable per-user rate limits. This feature allows developers to set specific limits on API calls for individual users, such as restricting them to a maximum of five OpenAI API calls per hour. Additionally, Backmesh implements API resource access control, protecting sensitive data like Files and Threads, ensuring that only the users who created these resources can access them.

Beyond security and access control, Backmesh instruments all LLM API calls to provide valuable user analytics. This instrumentation helps identify usage patterns, enabling developers to reduce costs and enhance user satisfaction within their AI applications. The open-source nature of Backmesh means it is battle-tested and transparent, offering a reliable solution for developers concerned about LLM API security and cost management.

Backmesh is ideal for developers and businesses building AI-powered applications that rely on LLM APIs. It addresses critical concerns around security, cost control, and user management, providing peace of mind and operational efficiency. The platform is designed for easy integration, allowing developers to focus on building innovative AI features rather than managing API key security.

  • CategoryAI Cybersecurity Tools
  • Pricing ModelOpen Source
  • DeploymentSelf-hosted (implied by open-source backend)
  • PlatformsWeb

  • Open-source backend for LLM API key protection

  • Prevents LLM API key leaks

  • Mitigates unexpected LLM API costs

  • JWT authentication for request verification

  • Per-user rate limiting to prevent abuse

  • API resource access control for sensitive data

  • Military-grade encryption for API key security

  • LLM user analytics for usage pattern identification

  • Acts as an API Gatekeeper for safe LLM calls

  • Battle-tested and thoroughly tested backend

  1. Integrate Backmesh backend into your application

  2. Configure JWT authentication with your provider

  3. Set per-user rate limits for LLM API calls

  4. Define API resource access controls

  5. Monitor LLM user analytics for insights

  6. Deploy and manage your secure LLM API access

  • Secure LLM API Access
  • Cost Control for AI Apps
  • Prevent API Key Leaks
  • User-Based Rate Limiting
  • Data Access Management
  • LLM Usage Analytics
  • Building Secure AI Applications

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