A few weeks ago our founder announced Monty, a minimal, secure Python interpreter written in Rust, for running code written by AI agents. People got excited. @sa.muelcolvin.com just wrote up the full story on why he's excited about it and you should be too.
pydantic.dev/articles/pyd...
We asked Adrian and Peter from @pydantic.dev what would block the Rust-accelerated Python trend from growing even more... Their answers:
Pydantic AI Gateway is now in open beta 🚀
One API key for OpenAI, Anthropic, Google, Groq, and Bedrock. BYOK and Built-in providers. Real cost limits. Built-in observability. Zero translation delays. Free during beta.
pydantic.dev/ai-gateway
Some personal (very belated*) news, I've moved to the bay area!
Let me know if you're in SF or Palo Alto and want to get coffee.
Also, last reminder that we have the inaugural Py AI meetup with @pydantic.dev in SF on Tuesday. Register now: luma.com/gjtfecc7
* I actually got here in the summer.
Workflow graph for the deep research agent, showing massive parallel processing (fan-out).
I added two new demos showing durable agent patterns (parallel vs sequential) with @pydantic.dev AI + @dbos.dev:
- Deep Research: large fan-out parallel workflows
- Twenty Questions: long sequential subagent chaining
Both are long-running, so durable execution is necessary to survive crashes.
And if you want to learn more, join us at the Py AI meetup in San Francisco luma.com/gjtfecc7
SentinelOne just announced their Purple AI MCP Server at #OneCon. Now, you can access SentinelOne’s security platform with your Pydantic AI MCP agent!
Check out their GitHub repo: github.com/Sentinel-one...
A screenshot of using Logfire + DBOS + Pydantic AI agent.
I wrote a tutorial on integrating DBOS with Logfire. It's super easy to set up (kudos to the @pydantic.dev team!) -> just a few lines to configure the exporter and your Logfire write token. Once it's running, you'll get a unified view of your app with logs + traces in one place.
I'm teaming up with @sa.muelcolvin.com to launch a new meetup series, Py AI.
Our first one is November 11 in San Francisco with talks from @pydantic.dev, @modal-labs.bsky.social, ReductoAI and @fastmcp.bsky.social.
Hosted by our friends at pebblebed.com
RSVP here: luma.com/gjtfecc7
Just putting this here. Not much more to say.
@pydantic.dev
New social icon for @opensourcepledge.com spotted on
@pydantic.dev's website. Lookin' sharp! 👀
Here's FastAPI 0.118.1, with compatibility for the latest @pydantic.dev. 🚀
This one had the combined effort of the community, the @pydantic.dev team, and the @fastapi.tiangolo.com team, all together. 🙌
github.com/fastapi/fast...
uv tree for dbos v2.0.0
Several people (thanks to @mitsuhiko.at and @sa.muelcolvin.com) noted early on that DBOS had too many dependencies. In the latest Python release, we trimmed it down to just 6 direct deps while still implementing durable workflows and queues in one library.
It's lightweight (for real).
You made my day @pydantic.dev 😁
pydantic.dev/articles/pyd...
I think this might be MASSIVE:
Pydantic AI is getting support for @vercel.com AI Elements streaming, making it easy to build React or Next.js frontends for Pydantic AI agents.
Video demo in the PR:
github.com/pydantic/pyd...
@pydantic.dev AI 🤝 Temporal
Together, run durable agents that:
✅Survive API failures & app restarts
✅Handle long-running & async tasks
✅ Preserve progress with replay-based fault tolerance
Production-grade resilience for agents.
🔗 https://ai.pydantic.dev/temporal/
Played around with @logfire.pydantic.dev from @pydantic.dev during today's Python+AI office hours. Took just a couple minutes to set up and start seeing traces from agent calls!
ICYMI, #Heroku support for @pydantic.dev is here.
To get started, all you have to do is provision Managed Inference and Agents from Heroku Elements or via the command line.
🔗 https://sforce.co/3Ii73mR
Exciting! Thanks for working with us on this.
Durable Agents in Pydantic AI – now with DBOS support!
@pydantic.dev 🤝 DBOS
Run agents that:
- Survive restarts, failures, and deploys
- Handle long-running async + human-in-the-loop tasks
- Autosave progress with SQLite/Postgres
Production-grade resilience in just a few lines of code.
The best docs are by @pydantic.dev
Pydantic AI now supports AG-UI - an open protocol for building chat agents, meaning you can use existing frontend apps to interact with @pydantic.dev AI agents.
ai.pydantic.dev/ag-ui/#agent...
Is Slack the new BI layer for the AI era?
It's now possible to build custom, self-service agentic analytics experiences in a single afternoon thanks to Slack, @pydantic.dev @anthropic.com MCP and ClickHouse
Podcast with @sa.muelcolvin.com on Software Engineering Radio is out!
Covers the @pydantic.dev ecosystem including Pydantic Validation, Pydantic AI and @logfire.pydantic.dev. Well worth a listen.
se-radio.net/2025/07/se-r...
It's so pleasant to start any data project by defining the @pydantic.dev models ❤️
Here's FastAPI 0.115.14 🚀
@patrick.wtf fixed support for unions of @pydantic.dev models in Form data. 🐛🎉
(This will make it easier to implement single sign-on 😉)
github.com/fastapi/fast...
Working on a number of AI Agent Boilerplates using #pydantic @pydantic.dev
I’ll give a talk about @pydantic.dev AI and Logfire today 12:25 at @pyconit.bsky.social 🙏
Created a video on agents with @pydantic.dev ai
- Creating bare bones agents
- Adding tools
- Using different llm models (local and cloud)
- Running agent in different ways (a
sync/async, streamed, graph)
youtu.be/_m2YpvsdxSA
Well done to whoever came up with the name for @pydantic.dev - it’s perfect
