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Check out @intellectronica mentioning the benefits of #Logfire's #MCP #server for debugging AI applications.
workshop today with @hugobowne ft. @intellectronica and @isaac_flath great live walkthrough of coding agent collaboration, really enjoyed seeing the approach in action. quick @pydantic / logfire integration plug at the end.
Pydantic AI version 1.11.0 is out! 🎉 github.com/pydantic/pydan…
We'll be demoing @autofixbot and talking about how our hybrid agent architecture for the security agent performs better in terms of accuracy and precision on OWASP benchmarks as compared to other AI code review tools. If you're in SF, come say hi to me and @dolftax!
Join us for the Py AI meetup in San Francisco 🗓️ Nov 11th @ 5pm Guests: @samuel_colvin @AAAzzam @reductoai @modal @sanketsaurav Sign up! luma.com/gjtfecc7
Our Py AI Meetup NY edition is filling up quickly. 🗓️ Nov 21st @ 6pm Join us! luma.com/9fpk2sil
Join us for the Py AI meetup in San Francisco 🗓️ Nov 11th @ 5pm Guests: @samuel_colvin @AAAzzam @reductoai @modal @sanketsaurav Sign up! luma.com/gjtfecc7
What's your biggest challenge when it comes to observability for AI applications?
The lazy import PEP was accepted yesterday and Victorien from @pydantic is already talking about it at @PyUtrecht
Pydantic AI version 1.10.0 is out! 🎉 github.com/pydantic/pydan…
Using @pydantic logfire to analyse the performance (query time) of @Cloudflare D1. Maybe I'm missing something, but these numbers are not as good as I expected? cc @threepointone @KentonVarda @MikeNomitch_CF
Thanks for the kind words! Would love to learn more about your experience using both, especially areas where our stack is still behind. Are you on our Slack by any chance?
This thread captures my views on where AI development is going better, better than almost any other. (Not just because it's saying nice things about @pydantic)
Framework (eg @LangChainAI) bundles with opinions or say views. It limits the action space so you feel you are guided (and it is). In the era of LLM everyone is desperate to use "ai" for something. I think that's one of the main reasons it gets wide adoption at the beginning.
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