Pydantic
@pydantic
First we build Pydantic, next Pydantic Logfire - uncomplicated observability
🆕 Releasing the entire MCP track! We curated the best talks and must-know topics in the MCP world from 1H 2025: - @chu_onthis, Anthropic: MCP's Origins + Startups - John Welsh, Anthropic: shipping Remote MCPs - @altryne (W&B) + @bhelx (Dylibso): Observable .tools for MCP -…
Well I guess I have yet another thing to thank @jxnlco for: that title is ... effective. Either that, or people like the British accent and jeopardy of a failing demo.
🆕 Releasing the entire MCP track! We curated the best talks and must-know topics in the MCP world from 1H 2025: - @chu_onthis, Anthropic: MCP's Origins + Startups - John Welsh, Anthropic: shipping Remote MCPs - @altryne (W&B) + @bhelx (Dylibso): Observable .tools for MCP -…
Founders from different countries, products, and paths - yet within minutes, they feel like family. Mission > background. Always. Just spent 3 weeks with 40 builders at Stanford DyDx. Left reminded: Entrepreneurship breaks barriers and builds character.
Hosting a session for our portfolio with MCP's co-creator, @dsp_, and Pydantic's @samuel_colvin on building production grade AI agents. DM if you're interested to join!
genuinely surprised how good @pydantic is every time I use it. makes working with python so much nicer
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 @SlackHQ, @pydantic @AnthropicAI, MCP and ClickHouse clickhou.se/4o46fCe
Pydantic AI now supports AG-UI - an open protocol for building chat agents, meaning you can use existing frontend apps to interact with @pydantic AI agents.
⏃ @pydantic 🤝 AG-UI Pydantic AI is now AG-UI compatible! Ship a frontend for your Pydantic AI agents & bring them into your fullstack applications✨ Includes Chat UI, Generative UI, Shared state between the agent and app, Frontend tool calls, and Human-in-the-loop. Thanks…
[2025/07/21 06:00] トレンド7位 Pydantic AIで作る「曖昧レシピ明確化の仕組み」- 実装してみた by Tadataka_Takahashi qiita.com/Tadataka_Takah…
@Gaianet_AI #Gaia Building AI agents that don't just ramble is tough. What if you could force an LLM to give you clean, structured data, all while running on your own machine? I put together an example showing just that, using a local @Gaianet_AI node and the @pydantic
@pydantic AI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI. Since it is model agnostic, this example show-cases how you can use your fully locally running @Gaianet_AI nodes with Pydantic.
Building AI agents that don't just ramble is tough. What if you could force an LLM to give you clean, structured data, all while running on your own machine? I put together an example showing just that, using a local @Gaianet_AI node and the @pydantic AI framework 👇
🚀Project Number 6 - Pydantic AI🔥 'Type‑safe Python framework for building production‑ready LLM agents' by @pydantic #opensource #GitHub #TrendingTech #AI #DeveloperTools #MachineLearning #DistributedSystems #Fintech #DevOps #TradingAgents #BMADMETHOD #PydanticAI
Very unfortunate @gmail bug: It has included the AI auto-complete “Polish” button as HTML in an email I just sent to a potential enterprise prospect! (Checked and "Polish" is there in the raw SMTP email sent)
I came across a post by @samuel_colvin and @pydantic about MCP sampling. Dove deeper into it and found more about this really cool concept This thread 🧵explains how MCP Sampling flips the normal client-server dynamic and boosts your agentic workflows.