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.
Latest
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.