Pydantic team just launched the Pydantic AI Gateway (PAIG) in Beta, and it’s a big step forward for anyone building multi-provider LLM systems.
One of the recurring challenges in LLM development is dealing with:
- different API formats for each provider
- fragmented cost tracking
- limited observability
- manual failover logic when a model is unavailable
PAIG simplifies all of this with one unified interface.
• Single API key for all major LLM providers
(OpenAI, Anthropic, Google Vertex, Groq, AWS Bedrock)
• Real-time cost monitoring + spending limits
Daily/weekly/monthly caps at the user, project, or key level.
• Built-in observability
Full request logging via OpenTelemetry / Pydantic Logfire.
• Automatic failover & multi-provider routing
If a model fails, PAIG can seamlessly switch to another provider.
If you ask me how it differs from other LLM providers, I’d highlight two things:
• It integrates seamlessly with the Pydantic and Pydantic-AI ecosystem, giving you structured outputs, validation, agent workflows, and full observability without any additional setup.
• It follows a zero-translation approach, sending requests in each provider’s native API format, which means new model features become available immediately, with no schema adjustments or compatibility delays.
And of course, huge thanks to the Pydantic team and Samuel Colvin for building an ecosystem that consistently goes beyond expectations.
#AI #LLM #Agent #Pydantic