At Pydantic , we are thinking about having a live session on YouTube about PydanticAI. The idea is to show a bit the framework, interact with people, and show a bit about observability for AI. Would you like to see that? 😁 Leave your reaction here, and let us know what you’d like to see in this live!
Pydantic
Software Development
First we build Pydantic, next Pydantic Logfire - uncomplicated observability
About us
From the team behind Pydantic, Logfire is a new type of observability platform built on the same belief as our open source library — that the most powerful tools can be easy to use.
- Website
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https://pydantic.dev
External link for Pydantic
- Industry
- Software Development
- Company size
- 2-10 employees
- Type
- Privately Held
- Founded
- 2022
Employees at Pydantic
Updates
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Pydantic reposted this
Many people know and love Pydantic for the open-source data validation library, but now there are two more reasons to love Pydantic: Pydantic AI (and agentic framework) and Logfire (LLM observability). Meet the founder Samuel Colvin in SF next Tuesday. https://lu.ma/ado3r4ro
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Pydantic reposted this
Python Backend Dev @Jukshio 🐍 | Building APIs, automating workflows, integrating ML & LLMs 🤖, FreeLancing 🫱🏽🫲🏼 | Loves traveling ✈️, temple visits 🛕 & debugging (or trying to)
🚀 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗲 𝗬𝗼𝘂𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗟𝗼𝗴𝗴𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝗱𝗮𝗻𝘁𝗶𝗰 𝗟𝗼𝗴𝗳𝗶𝗿𝗲! 𝘚𝘵𝘳𝘶𝘨𝘨𝘭𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘮𝘦𝘴𝘴𝘺 𝘭𝘰𝘨𝘴, 𝘦𝘯𝘥𝘭𝘦𝘴𝘴 𝘤𝘰𝘯𝘧𝘪𝘨𝘶𝘳𝘢𝘵𝘪𝘰𝘯𝘴, 𝘰𝘳 𝘳𝘪𝘨𝘪𝘥 𝘭𝘰𝘨𝘨𝘪𝘯𝘨 𝘭𝘪𝘣𝘳𝘢𝘳𝘪𝘦𝘴? 𝘐 𝘸𝘢𝘴 𝘵𝘰𝘰—𝘶𝘯𝘵𝘪𝘭 𝘐 𝘥𝘪𝘴𝘤𝘰𝘷𝘦𝘳𝘦𝘥 𝘗𝘺𝘥𝘢𝘯𝘵𝘪𝘤 𝘓𝘰𝘨𝘧𝘪𝘳𝘦. 𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝘆 𝗶𝘁’𝘀 𝗮 𝗴𝗮𝗺𝗲-𝗰𝗵𝗮𝗻𝗴𝗲𝗿: ✨ 𝚉𝚎𝚛𝚘-𝚋𝚘𝚒𝚕𝚎𝚛𝚙𝚕𝚊𝚝𝚎 𝚜𝚎𝚝𝚞𝚙 – 𝙶𝚎𝚝 𝚜𝚝𝚊𝚛𝚝𝚎𝚍 𝚒𝚗 𝚜𝚎𝚌𝚘𝚗𝚍𝚜. ✨ 𝚂𝚖𝚊𝚛𝚝 𝚝𝚊𝚐𝚐𝚒𝚗𝚐 – 𝚂𝚕𝚒𝚌𝚎 𝚊𝚗𝚍 𝚍𝚒𝚌𝚎 𝚕𝚘𝚐𝚜 𝚕𝚒𝚔𝚎 𝚊 𝚙𝚛𝚘. ✨ 𝙴𝚗𝚟𝚒𝚛𝚘𝚗𝚖𝚎𝚗𝚝-𝚊𝚠𝚊𝚛𝚎 – 𝙺𝚎𝚎𝚙 𝚍𝚎𝚟, 𝚜𝚝𝚊𝚐𝚒𝚗𝚐, 𝚊𝚗𝚍 𝚙𝚛𝚘𝚍 𝚕𝚘𝚐𝚜 𝚜𝚎𝚙𝚊𝚛𝚊𝚝𝚎. ✨ 𝙼𝚞𝚕𝚝𝚒-𝚙𝚛𝚘𝚓𝚎𝚌𝚝 𝚜𝚞𝚙𝚙𝚘𝚛𝚝 – 𝙼𝚊𝚗𝚊𝚐𝚎 𝚖𝚞𝚕𝚝𝚒𝚙𝚕𝚎 𝚜𝚎𝚛𝚟𝚒𝚌𝚎𝚜 𝚎𝚏𝚏𝚘𝚛𝚝𝚕𝚎𝚜𝚜𝚕𝚢. ✨ 𝙼𝚎𝚝𝚛𝚒𝚌𝚜 𝚊𝚗𝚍 𝚝𝚛𝚊𝚌𝚎𝚜 – 𝙶𝚘 𝚋𝚎𝚢𝚘𝚗𝚍 𝚕𝚘𝚐𝚜 𝚝𝚘 𝚝𝚛𝚊𝚌𝚔 𝚙𝚎𝚛𝚏𝚘𝚛𝚖𝚊𝚗𝚌𝚎. 𝗜𝗻 𝗼𝗻𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, 𝗜 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝗱 𝗮 𝗽𝗮𝘁𝗰𝗵𝘄𝗼𝗿𝗸 𝗼𝗳 𝘁𝗼𝗼𝗹𝘀 𝘄𝗶𝘁𝗵 𝗟𝗼𝗴𝗳𝗶𝗿𝗲 𝗮𝗻𝗱 𝘀𝗮𝘄: ✅ 𝙵𝚊𝚜𝚝𝚎𝚛 𝚍𝚎𝚋𝚞𝚐𝚐𝚒𝚗𝚐 𝚠𝚒𝚝𝚑 𝚝𝚊𝚐𝚐𝚎𝚍 𝚕𝚘𝚐𝚜. ✅ 𝙲𝚕𝚎𝚊𝚗𝚎𝚛 𝚍𝚊𝚜𝚑𝚋𝚘𝚊𝚛𝚍𝚜 𝚏𝚘𝚛 𝚎𝚊𝚌𝚑 𝚎𝚗𝚟𝚒𝚛𝚘𝚗𝚖𝚎𝚗𝚝. ✅ 𝙰𝚌𝚝𝚒𝚘𝚗𝚊𝚋𝚕𝚎 𝚒𝚗𝚜𝚒𝚐𝚑𝚝𝚜 𝚏𝚛𝚘𝚖 𝚙𝚎𝚛𝚏𝚘𝚛𝚖𝚊𝚗𝚌𝚎 𝚖𝚎𝚝𝚛𝚒𝚌𝚜. 𝘐𝘧 𝘺𝘰𝘶’𝘳𝘦 𝘵𝘪𝘳𝘦𝘥 𝘰𝘧 𝘭𝘰𝘨𝘨𝘪𝘯𝘨 𝘣𝘦𝘪𝘯𝘨 𝘢 𝘤𝘩𝘰𝘳𝘦, 𝘨𝘪𝘷𝘦 𝘓𝘰𝘨𝘧𝘪𝘳𝘦 𝘢 𝘵𝘳𝘺. 𝘐𝘵’𝘴 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘢 𝘭𝘪𝘣𝘳𝘢𝘳𝘺—𝘪𝘵’𝘴 𝘰𝘣𝘴𝘦𝘳𝘷𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘩𝘢𝘵 𝘸𝘰𝘳𝘬𝘴 𝘧𝘰𝘳 𝘺𝘰𝘶, 𝘯𝘰𝘵 𝘢𝘨𝘢𝘪𝘯𝘴𝘵 𝘺𝘰𝘶. 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝗺𝘆 𝗳𝘂𝗹𝗹 𝘄𝗮𝗹𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗵𝗲𝗿𝗲: https://lnkd.in/gAgC6CTD #Python #Logging #Observability #Pydantic #DeveloperTools #SoftwareEngineering
Streamline Your Python Logging with Pydantic Logfire: A Practical Guide
itsmeramc.medium.com
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Pydantic reposted this
PydanticAI v0.0.21 released https://lnkd.in/eFHciKhM Includes support for DeepSeek AI.
Release v0.0.21 2025-01-30 · pydantic/pydantic-ai
github.com
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Great introduction to PydanticAI, and converting existing LLM code to use it.
Data & AI Engineer, CEO @ Hipposys | Specializing in Python Data stack, RAG/LLM, Airflow, dbt
Considering the new Pydantic AI framework to build AI agents? 🚀 My colleague Ofir Ovadia continues his series on building AI agents, this time comparing a PydanticAI vs a Langchain implementation of a more complex scenario: creating an AI agent that can do simple data analysis on a Python Data Frame. Like the first post in the AI agents series, this one is built on the superb resource that is Nir Diamant’s Gen-AI Agents repo, which has many more implementations of AI Agents (https://lnkd.in/dYfsyZ87). Ofir took the data analysis repo, converted it to PydanticAI and of course, merged it back into the repo. ✨ Unlike the previous post, this isn't a one-to-one translation, because unlike Langchain, which comes with a pre-built DataFrame agent handling, in PydanticAI we had to roll our own, which is a great example of how to create new agents. We hope you enjoy and learn from the post, and highly encourage you to check out the first post in the series, and other AI Agent tutorials in the AI Agents repo. Link to the post in the first comment!
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PydanticAI v0.0.18 released. Mostly bug features and some smaller features while we work on major features like Graph support, and wait for the streaming refactor to land. https://lnkd.in/eQYxzPPV
Release v0.0.18 2025-01-07 · pydantic/pydantic-ai
github.com
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Pydantic reposted this
If you're looking for a comprehensive introduction to #GenAI Agents, this Google Whitepaper is a starting point. Enabling my small #MLOps team to focus on specialist work requires increasing automation of manual repetitive tasks. I believe that AI agents will come to the party this year and PydanticAI is a solid starting point as a toolkit. Next we need knowledge growth so that more useful agents can be built. #gettingthingsdone
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PydanticAI v0.0.16 released. Mostly bug fixes and small features while we work on the bigger features of multi-agent documentation, and graph support. https://lnkd.in/eEAJPpca
Release v0.0.16 2024-12-30 · pydantic/pydantic-ai
github.com