The folks at Pydantic are building up quite the AI stack. Their new to me AI Gateway would rival LiteLLM with a second-mover advantage.
Pydantic AI Gateway is a unified interface for accessing multiple AI providers with a single key. Features include built-in OpenTelemetry observability, real-time cost monitoring, failover management, and native integration with the other tools in the Pydantic stack.
If you haven’t gotten a taste of Pydantic’s leader, Samuel Colvin, give this episode of the AI Engineering Podcast a listen. Colvin’s a hoot; he often calls out the engineering quality of other frameworks. Here’s a skoosh of what he’s cooking from the Pydantic AI Gateway announcement blog post:
Why another Gateway?
- We could see it was a pain point for our customers.
- We knew we could build something with higher engineering quality and better chosen abstractions.
- We are uniquely positioned to offer a better developer experience via integrations with the existing Pydantic Stack (specifically Pydantic AI and Logfire).
Most “AI gateways” are the wrong kind of abstraction.
They try to wrap every provider in a single “universal schema” that slows you down. Every time a model adds a feature: tool calling, image input, JSON mode - you wait weeks for the gateway to catch up.
PAIG takes a different approach: one key, zero translation.
I am a big fan of Pydantic’s validation approach and often find their Python libraries to be well designed. Let’s see if it works for infrastructure.
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