AI-Powered Observability with Pydantic Logfire MCP
Hosted by Samuel Colvin
What you'll learn
Using Pydantic Logfire
Pydantic Logfire is an observability platform designed to be easy to set up and understand.
Logging, Tracing, and Debugging
How to use Logfire to observe complex systems and find needles in haystacks.
Agentic debugging with Logfire MCP
Using Logfire MCP with your AI agent to integrate observability into your workflow.
Why this topic matters
Unlock powerful AI debugging workflows by connecting your agents directly to observability data. Pydantic Logfire's MCP integration enables LLMs to query traces, metrics, and logs in real-time, transforming how you monitor and troubleshoot AI applications.
You'll learn from
Samuel Colvin
Founder @ Pydantic
I started working on Pydantic out of a mixture of frustration that type hints do nothing at runtime and curiosity as to whether they could be used to validate data.
Turns out I was right (or lucky) and with Pydantic's crazy growth, the maintainers behind it now get to build other products with the same principles — that the most powerful tools can still be easy to use.
Pydantic - Know more. Build faster.
Go deeper with a course
Elite AI Assisted Coding
Eleanor Berger and Isaac Flath
AI Leader, ex-Microsoft, ex-Google. Founder of Kentro Tech
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