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The AI governance problem in higher education and how to solve it

From cost control to safe tool access, managing GenAI across campus isn’t simple. This post breaks down the operational challenges and what a centralized AI gateway should solve.

Everything We Know About Claude Code Limits

Last updated -  29 July 2025 TL;DR * For Claude.ai Users: The core limit is a 5-hour rolling session that begins with your first prompt. New weekly quotas will be added starting Aug 28th for heavy users on Claude Pro and Claude Max plans. (all Claude.ai plans share

Scaling LibreChat for enterprise use: tracking, visibility, and governance

LibreChat is powerful, but lacks the control and visibility enterprises need. Learn how Portkey makes LibreChat production-ready with governance, observability, and security guardrails.

Making Claude Code work for enterprise-scale use with an AI Gateway

Learn how to make Claude Code enterprise-ready with Portkey. Add visibility, access control, logging, and multi-provider routing to scale safely across teams.

Retries, fallbacks, and circuit breakers in LLM apps: what to use when

Retries and fallbacks aren’t enough to keep AI systems stable under real-world load. This guide breaks down how circuit breakers work, when to use them, and how to design for failure across your LLM stack.

How to add enterprise controls to OpenWebUI: cost tracking, access control, and more

Learn how to add enterprise features like cost tracking, access control, and observability to your OpenWebUI deployment using Portkey.

Building the world's fastest AI Gateway - stream transformers

In January of this year, we released unified routes for file uploads and batching inference requests. With these changes, users on Portkey can now: 1. Upload a single file for asynchronous batching and use it across different providers without having to transform the file to model model-specific format 2. Upload

How to identify and mitigate shadow AI risks in organizations using an AI Gateway

Shadow AI is rising fast in organizations. Learn how to detect it and use an AI gateway to regain control, visibility, and compliance.

What is shadow AI, and why is it a real risk for LLM apps

Unapproved LLM usage, unmanaged APIs, and prompt sprawl are all signs of shadow AI. This blog breaks down the risks and how to detect it in your GenAI stack.

LLM proxy vs AI gateway: what’s the difference and which one do you need?

Understand the difference between an LLM proxy and an AI gateway, and learn which one your team needs to scale LLM usage effectively.

Why enterprises need to rethink how employees access LLMs

Learn why self-serve AI access is critical for enterprise GenAI adoption, and how governed access with built-in guardrails helps teams innovate faster without compromising security or compliance.

Managing and deploying prompts at scale without breaking your pipeline

Learn how teams are scaling LLM prompt workflows with Portkey, moving from manual, spreadsheet-based processes to versioned, testable, and instantly deployable prompt infrastructure.

How a model catalog accelerates LLM development

See how a model catalog simplifies governance and why it is essential for building and scaling LLM applications

Make Cline enterprise-ready using an AI Gateway

Cline is a powerful AI coding assistant. Learn how Portkey’s AI gateway makes Cline enterprise-ready with guardrails, observability, and governance.