Portkey
An AI gateway with fallbacks, caching and governance across a very large number of models, through one endpoint.
Highlights
- A universal OpenAI-compatible API to more than 1,600 LLMs with unified key management
- Reliability routing: automatic fallbacks, load balancing, retries, and timeouts
- Observability: request logs, distributed traces, cost and latency metrics, and alerts
- A prompt-management studio with templating and versioning
- Guardrails: PII redaction and configurable input and output policy enforcement
- Governance: role-based access control, virtual keys, and per-team budgets
- Simple and semantic caching to cut cost and latency
- An MCP gateway for secure tool access, with an open-source core
External link — opens portkey.ai in a new tab. Portkey is a third-party product; we are not affiliated with it.
About Portkey
What it is
Portkey is a gateway and operations control plane for language model traffic, giving one OpenAI-compatible endpoint across more than sixteen hundred models with fallbacks, load balancing, retries and caching, plus observability, guardrails and access governance over what passes through it.
Why it's different
It is among the more mature options in this category, and the reliability features are what distinguish it from a pure cost router. Automatic fallback when a provider degrades is the one that earns its place in production, because model providers do have bad hours and an application with a single hard dependency goes down with them. Caching is the quiet cost saving, since a surprising share of real traffic is repeated. The considerations are the ones every gateway carries and they are not small: every prompt and response passes through a third party, and the gateway becomes a single point of failure in front of providers that were already redundant. Self-hosting is available and is the answer for sensitive workloads.
How people use it
It is adopted by teams running AI in production who need reliability and governance rather than a way to experiment — typically after an outage or after a security review asks who can call what. The practical order is fallbacks and observability first, since those address the failures you have already had, then caching and governance. Check where request and response bodies are retained before routing anything sensitive.
Written by the n3os team. We are not affiliated with Portkey.
This listing was written from public information, without Portkey’s involvement. If you own it and something here is wrong — or you would rather not be listed at all — email us and we will correct or remove it.
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