What Portkey AI is
Portkey AI is a platform for building and running generative AI applications. It provides a unified AI gateway across a large number of models, plus observability, prompt management and an MCP client, with load balancing, conditional routing, automatic retries and semantic caching.
It offers real-time monitoring and log tracking, and supports open source architecture with on-premises deployment.
What you can do with it
- Call many models through one gateway
- Add routing, caching and retry behaviour
- Track cost, latency and errors
- Self-host for data control
Who it is for
- Teams building generative AI products
- Organisations unifying several model vendors
- Enterprises with security and compliance needs
What to watch out for
- Prompts and responses pass through the gateway, so its logging settings decide what is stored
- The model count on the site is a vendor figure; confirm the providers you need are supported
- Semantic caching can return stale or wrong answers if thresholds are loose
- Self-hosting adds operations work
Pros & cons
✓ What we like
- One gateway for many providers
- Production-focused routing and caching
- On-premises option
! What to watch out for
- Logging configuration matters
- Provider list to verify
- Self-hosting overhead
FAQ
What is it for?
Managing multi-model calls with monitoring, routing, caching and retries.
Can I deploy it myself?
Yes. Open source architecture supports on-premises deployment.
How many models?
The site states more than 250, which you should verify for the providers you need.
Last reviewed: 2026-09-17
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