Company
Date Published
Nov. 13, 2024
Author
Manvinder Singh
Word count
1334
Language
English
Hacker News points
None

Summary

As companies increasingly deploy Generative Artificial Intelligence (GenAI) applications in production, new challenges have emerged that focus more on scaling and securing usage, especially when interfacing with users outside the organization. To address these issues, companies are starting to use AI gateways as a key component of their AI infrastructure. An AI Gateway simplifies, secures, and governs access to Large Language Models (LLMs) within an enterprise setting by acting as a centralized platform for managing AI workflows. Key features of an AI gateway include unified API, rate limiting, routing based on intent, caching, PII redaction, guardrails, usage tracking and chargebacks, and credentials management. Companies can build their own custom platforms or use established open-source solutions like LiteLLM, Guardrails AI, Langfuse, Hashicorp vault, and Redis to construct GenAI gateways or platforms.