An AI gateway that signs a receipt for every LLM response (github.com)

AxioRank has announced the launch of an innovative AI gateway designed to enhance security and accountability for responses generated by large language models (LLMs). This gateway functions as a local, OpenAI-compatible endpoint that ensures default guardrails are active on every request, providing a signed, offline-verifiable receipt for each response. This means developers can route their AI applications through a single URL and receive cryptographic proof of the gateway's actions, including the model used, filtering decisions, and token counts, thus enhancing transparency and security. This development is significant for the AI/ML community as it addresses increasing concerns over prompt injection attacks and data integrity. By incorporating guardrails on the initial call and generating receipts rapidly without complex configurations or extra network hops, the AxioRank gateway provides a robust framework for verifying AI responses. It supports multiple model providers and allows users to customize their routing and failover strategies. The ability to audit AI interaction logs with immutable receipts establishes a new standard for accountability, making this gateway a powerful tool for developers looking to implement secure AI solutions.