How to implement budget limits and alerts in LLM applications
Learn how to implement budget limits and alerts in LLM applications to control costs, enforce usage boundaries, and build a scalable LLMOps strategy.
LLM Gateway
The real cost of building an LLM gateway
When your AI apps start to scale, managing multiple LLM integrations can get messy fast. That's when teams usually realize they need an LLM gateway. Many developers jump straight to building their own solution, often without seeing the full picture of what's involved.
Drawing from what we've seen across engineering
Why Portkey is the right AI Gateway for you
Discover why Portkey's purpose-built AI Gateway fulfills the unique demands of AI infrastructure. From intelligent guardrails to cost optimization, explore how Portkey empowers teams to scale AI with confidence.
AI Gateway vs API Gateway - What's the difference
Learn the critical differences between AI gateways and API gateways. Discover how each serves unique purposes in managing traditional and AI-driven workloads, and when to use one—or both—for your infrastructure.
What is an LLM Gateway?
An LLM Gateway simplifies managing large language models, enhancing the performance, security, and scalability of real-world AI applications.
Open Sourcing Guardrails on the Gateway Framework
We are solving the *biggest missing component* in taking AI apps to prod → Now, enforce LLM behavior and route requests with precision, in one go.
Portkey & Patronus - Bringing Responsible LLMs in Production
Patronus AI's suite of evaluators are now available on the Portkey Gateway.