Pydantic

The Pydantic Stack: Pydantic Validation, Pydantic AI, Pydantic Logfire, Pydantic Evals, and Pydantic AI Gateway

[Pydantic @pydantic]

AI observability can cost more than it should.

We ran the numbers: same scale, same workload, four tools. At moderate production load, Logfire is up to 40x less expensive than the alternatives.

Spans-based pricing. No proprietary units. AI native and full-stack observability in one platform.

See the full comparison: https://t.co/j6DW7PDV1M

[Pydantic @pydantic]

A good agent harness comes down to timing: the right text to the model at the right moment. Disclose what it needs before it acts, steer it when it drifts. In Pydantic AI v2, that's one primitive, the capability.

Part 1 of 3 from @dasfacc: https://t.co/wJnpM4F3hG

[Pydantic @pydantic]

Your board asks "where are we on AI?" and you don't have a clean structural answer.

Here's a model for applied genAI to consider: 5 levels, 5 dimensions, one grid to read against: https://t.co/8XuVGlpb6k

[Pydantic @pydantic]

Every AI app needs the same plumbing before interesting work starts: auth, streaming, persistence, observability, and deployment.

@VstormCommunity open-sourced a CLI that generates all of it in one command. Fast API, Next.js 15, Pydantic AI, and Pydantic Logfire tracing through every layer.

Learn more: https://t.co/IWbEiAXuQm

[Marcelo Trylesinski @marcelotryle]

Duo and @pydantic Logfire together! 😁

[Pydantic @pydantic]

If you're at @AIdotEngineer World's Fair in San Francisco next week, catch Samuel Colvin speaking about sandboxes on July 1st.

📍 Room 2010: Sandbox & Platform Engineering track
🕑 12:05pm

Talk: Your agent needs a sandbox, not a desert

[Pydantic @pydantic]

@Yogin16 it's not just tools...

[Pydantic @pydantic]

𝗣𝘆𝗱𝗮𝗻𝘁𝗶𝗰 𝗔𝗜 𝘃𝟮 𝗶𝘀 𝗵𝗲𝗿𝗲, and your agents have never been more capable. The inner loop of an agent is settled, the leverage is in the layer around it, and v2 turns that whole layer into one thing you compose: the capability.

It bundles instructions, tools, hooks, and model settings into a single unit. Plus a leaner core and the Pydantic AI Harness.

[David @dasfacc]

v2 is out of beta! capable as ever

[Pydantic @pydantic]

Read the full release: https://t.co/vZkiXpZ0CW

[Pydantic @pydantic]

Pydantic AI version 2.0.0 is out! 🎉

https://t.co/FfZiEFlepj

[Python Space @python_spaces]

@Hiteshdotcom @FastAPI @pydantic is one of the many good reasons that Fast API is so cool. 🤩

[Pydantic @pydantic]

Pydantic AI now has progressive disclosure.

Capabilities load on demand: set `defer_loading=True` and the model pulls in its tools, instructions, and hooks only when it asks.

Leaner context, lower token bill.

https://t.co/lBYkyVcWMx

[Pydantic @pydantic]

@blbraner Thanks, we'll look.

[Pydantic @pydantic]

@leshchenko1979 @opencrabs Pydantic Evals 😉

More seriously, the evals framework should be lightweight and opinionated - letting you spend time building the right cases and evaluators.

Let us know how you get on.

[Pydantic @pydantic]

Your multi-agent workflow used to take 90s. Now it takes 4 minutes. No alerts. No slow downstream deps.

Our final post of Infrastructure Week covers the new Metrics explorer in Logfire. No SQL required.

Live now.
https://t.co/CkK5aoQrls

[Pydantic @pydantic]

Your overnight agent OOMs every night. Same code, same model, same traffic. But the OOM was not your agent.

The new Hosts view in Pydantic Logfire puts host CPU, memory, load, disk, and network next to your traces, so you can see what was really eating the box: https://t.co/oML66ppdMW

[Charlie Marsh @charliermarsh]

At OpenAI, we're continuing to bet on Rust as the future of systems programming.

I'm proud to announce that we're making a $600,000 commitment to the Rust Foundation, which combines our Platinum membership with additional support for maintainer efforts across the Rust ecosystem.

[Pydantic @pydantic]

Your chatbot is throwing 500s since Tuesday's deploy, but which pod, on which node, after which release? The new Kubernetes view in Pydantic Logfire takes you from the failing pod to the trace that explains it in one click.

Read the post: https://t.co/94ypmHEIOb

[Pydantic @pydantic]

Your agent workflow times out on requests. The model is fine. So the slow thing is one of the 14 services it's calling. But which one?

The new Services view in Pydantic Logfire takes you from the failing service to the exact trace that explains it: https://t.co/47nhnJh3Hu

[Pydantic @pydantic]

Your agent workflow times out on requests. The model is fine. So the slow thing is one of the 14 services it's calling. But which one?

The new Services view in Pydantic Logfire takes you from the failing service to the exact trace that explains it: https://t.co/47nhnJh3Hu