Nice demo tonight from Samuel Colvin at the Py AI meetup:
Pydantic-AI agent connected to a FastMCP server (deployed on FastMCP cloud) using different LLM models from the new Pydantic AI Gateway, called via a Vercel AI React frontend, with both agent and MCP server sending Otel logs to Logfire.
Pydantic-AI agent connected to a FastMCP server (deployed on FastMCP cloud) using different LLM models from the new Pydantic AI Gateway, called via a Vercel AI React frontend, with both agent and MCP server sending Otel logs to Logfire.
November 12, 2025 at 6:46 AM
Nice demo tonight from Samuel Colvin at the Py AI meetup:
Pydantic-AI agent connected to a FastMCP server (deployed on FastMCP cloud) using different LLM models from the new Pydantic AI Gateway, called via a Vercel AI React frontend, with both agent and MCP server sending Otel logs to Logfire.
Pydantic-AI agent connected to a FastMCP server (deployed on FastMCP cloud) using different LLM models from the new Pydantic AI Gateway, called via a Vercel AI React frontend, with both agent and MCP server sending Otel logs to Logfire.
Nice demo tonight from Samuel Colvin at the Py AI meetup:
Pydantic-AI agent connected to a FastMCP server (deployed on FastMCP cloud) using different LLM models from the new Pydantic AI Gateway, called via a Vercel AI React frontend, with both agent and MCP server sending Otel logs to Logfire.
Pydantic-AI agent connected to a FastMCP server (deployed on FastMCP cloud) using different LLM models from the new Pydantic AI Gateway, called via a Vercel AI React frontend, with both agent and MCP server sending Otel logs to Logfire.
November 12, 2025 at 6:44 AM
Nice demo tonight from Samuel Colvin at the Py AI meetup:
Pydantic-AI agent connected to a FastMCP server (deployed on FastMCP cloud) using different LLM models from the new Pydantic AI Gateway, called via a Vercel AI React frontend, with both agent and MCP server sending Otel logs to Logfire.
Pydantic-AI agent connected to a FastMCP server (deployed on FastMCP cloud) using different LLM models from the new Pydantic AI Gateway, called via a Vercel AI React frontend, with both agent and MCP server sending Otel logs to Logfire.
November 12, 2025 at 3:58 AM
Почему Pydantic не должен проникать в ваш доменный слой: секреты чистой архитектуры
https://kripta.biz/posts/9C3A55BD-E807-42CC-8696-84CE3D2B7E4B
https://kripta.biz/posts/9C3A55BD-E807-42CC-8696-84CE3D2B7E4B
November 12, 2025 at 3:17 AM
Почему Pydantic не должен проникать в ваш доменный слой: секреты чистой архитектуры
https://kripta.biz/posts/9C3A55BD-E807-42CC-8696-84CE3D2B7E4B
https://kripta.biz/posts/9C3A55BD-E807-42CC-8696-84CE3D2B7E4B
November 12, 2025 at 3:16 AM
python-pydantic 2.12.4-1 any Data parsing and validation using Python type hints
Interest | Match | Feed
Interest | Match | Feed
Origin
archlinux.org
November 11, 2025 at 3:50 PM
python-pydantic 2.12.4-1 any Data parsing and validation using Python type hints
Interest | Match | Feed
Interest | Match | Feed
Origin
archlinux.org
November 11, 2025 at 3:50 PM
Origin
archlinux.org
November 11, 2025 at 3:50 PM
Origin
archlinux.org
November 11, 2025 at 3:50 PM
python-pydantic-core 3:2.41.5-1 x86_64 Core validation logic for pydantic written in rust
Interest | Match | Feed
Interest | Match | Feed
Origin
archlinux.org
November 11, 2025 at 3:50 PM
python-pydantic-core 3:2.41.5-1 x86_64 Core validation logic for pydantic written in rust
Interest | Match | Feed
Interest | Match | Feed
Origin
archlinux.org
November 11, 2025 at 3:50 PM
Tired of LLMs breaking your JSON or skipping fields? Learn how Pydantic can turn messy AI outputs into clean, predictable data every single time. #llmvalidation
How to Keep LLM Outputs Predictable Using Pydantic Validation
hackernoon.com
November 11, 2025 at 12:19 PM
Tired of LLMs breaking your JSON or skipping fields? Learn how Pydantic can turn messy AI outputs into clean, predictable data every single time. #llmvalidation
Moreover, their execution is fully observable in the DBOS console (workflow graphs + management, shown in the screenshot) and instrumented with Logfire to trace token usage and cost per step.
Link to the original PR: github.com/pydantic/pyd...
Link to the original PR: github.com/pydantic/pyd...
Add DBOS durable agent demos by qianl15 · Pull Request #8 · pydantic/pydantic-stack-demo
Added two demos under the durable-exec folder:
deep_research_dbos.py: similar to the Temporal example, you can interrupt the agent and resume with a workflow ID.
twenty_questions_dbos.py: closer t...
github.com
November 10, 2025 at 6:56 PM
Moreover, their execution is fully observable in the DBOS console (workflow graphs + management, shown in the screenshot) and instrumented with Logfire to trace token usage and cost per step.
Link to the original PR: github.com/pydantic/pyd...
Link to the original PR: github.com/pydantic/pyd...
🐍🎦 #Python is Awesome - серія відео про нестандартні можливості Python: Pydantic, async/await, контекстні менеджери та інші потужні інструменти. У відео показується практичне застосування сторонніх бібліотек через реальні проєкти
www.youtube.com/playlist?lis...
www.youtube.com/playlist?lis...
Python is Awesome - YouTube
Your one-stop-shop for all things awesome in Python. Originally focused on covering the lesser-known parts of the standard library, this series is now home t...
www.youtube.com
November 10, 2025 at 5:22 PM
🐍🎦 #Python is Awesome - серія відео про нестандартні можливості Python: Pydantic, async/await, контекстні менеджери та інші потужні інструменти. У відео показується практичне застосування сторонніх бібліотек через реальні проєкти
www.youtube.com/playlist?lis...
www.youtube.com/playlist?lis...
Finally able to upgrade my main server to #fedora 43. Many thanks for the fedora matrix-synapse maintainer for working with upstream to get synapse working with pydantic v2 and python 3.14.
Had a time adjusting dovecot to the new config, but I think I have it all working now.
Upgraded […]
Had a time adjusting dovecot to the new config, but I think I have it all working now.
Upgraded […]
Original post on fosstodon.org
fosstodon.org
November 9, 2025 at 7:48 PM
Finally able to upgrade my main server to #fedora 43. Many thanks for the fedora matrix-synapse maintainer for working with upstream to get synapse working with pydantic v2 and python 3.14.
Had a time adjusting dovecot to the new config, but I think I have it all working now.
Upgraded […]
Had a time adjusting dovecot to the new config, but I think I have it all working now.
Upgraded […]
🐍📰 A Close Look at a FastAPI Example Application
Create a sample FastAPI app, add path and query parameters, and manage CRUD operations with Pydantic for clean, validated endpoints.
buff.ly/CTrrfeo
Create a sample FastAPI app, add path and query parameters, and manage CRUD operations with Pydantic for clean, validated endpoints.
buff.ly/CTrrfeo
November 8, 2025 at 10:21 PM
🐍📰 A Close Look at a FastAPI Example Application
Create a sample FastAPI app, add path and query parameters, and manage CRUD operations with Pydantic for clean, validated endpoints.
buff.ly/CTrrfeo
Create a sample FastAPI app, add path and query parameters, and manage CRUD operations with Pydantic for clean, validated endpoints.
buff.ly/CTrrfeo
The Gemini API now has better Structured Outputs with expanded JSON Schema support. You can use libraries like Pydantic with the Gemini API. The API preserves the same order as the ordering of keys in the schema.
share.google/9rmzq5ZqHvXN...
share.google/9rmzq5ZqHvXN...
Improving Structured Outputs in the Gemini API
Today, we're announcing enhancements to Structured Outputs in the Gemini API.
share.google
November 7, 2025 at 9:25 PM
The Gemini API now has better Structured Outputs with expanded JSON Schema support. You can use libraries like Pydantic with the Gemini API. The API preserves the same order as the ordering of keys in the schema.
share.google/9rmzq5ZqHvXN...
share.google/9rmzq5ZqHvXN...
For core domain models in Python I will not use pydantic. I would rather use the less feature rich dataclasses and not deal dependency hell.
November 7, 2025 at 2:28 PM
For core domain models in Python I will not use pydantic. I would rather use the less feature rich dataclasses and not deal dependency hell.
We've moved from testing if AI gets the right answer to testing if it reasons correctly—which is either progress or peak parenting anxiety for your code.
#BuildAI
wordoflore.ai/pydantic-eva...
#BuildAI
wordoflore.ai/pydantic-eva...
Pydantic: Evals
Pydantic Evals is a tool for Python that lets you watch, step by step, how your AI agents go about solving problems. It’s made by the same people who built the popular Pydantic data validation library...
wordoflore.ai
November 7, 2025 at 1:32 PM
We've moved from testing if AI gets the right answer to testing if it reasons correctly—which is either progress or peak parenting anxiety for your code.
#BuildAI
wordoflore.ai/pydantic-eva...
#BuildAI
wordoflore.ai/pydantic-eva...
Or I dunno could be other stuff. Still working through it. It’s complaining about pydantic v1 now. Unsure how much is just me delegating too much to Claude code and how much is real.
November 7, 2025 at 7:04 AM
Or I dunno could be other stuff. Still working through it. It’s complaining about pydantic v1 now. Unsure how much is just me delegating too much to Claude code and how much is real.
Ok the discriminated unions with pydantic thing has been irking me for a while so I finally dove deep, and wrote a thing about it.
I'm sure you can do better with pydantic-internals black magic, but this gets me 90% there and is actually maintainable.
marius.vision/p/introducin...
I'm sure you can do better with pydantic-internals black magic, but this gets me 90% there and is actually maintainable.
marius.vision/p/introducin...
marius.vision - introducing-duck-unions-python-pydantic-and-discriminated-unions
marius.vision
November 6, 2025 at 11:12 PM
Ok the discriminated unions with pydantic thing has been irking me for a while so I finally dove deep, and wrote a thing about it.
I'm sure you can do better with pydantic-internals black magic, but this gets me 90% there and is actually maintainable.
marius.vision/p/introducin...
I'm sure you can do better with pydantic-internals black magic, but this gets me 90% there and is actually maintainable.
marius.vision/p/introducin...
lol I found the sure fire way to plunge any SOTA cloud AI into a hallucination doom loop.
Prompt: "Please find a way to create discriminated unions in python with pydantic and abstract base classes, without having to explicitly spell out the discriminator field in the class as a 'Literal' type."
Prompt: "Please find a way to create discriminated unions in python with pydantic and abstract base classes, without having to explicitly spell out the discriminator field in the class as a 'Literal' type."
November 6, 2025 at 8:25 PM
lol I found the sure fire way to plunge any SOTA cloud AI into a hallucination doom loop.
Prompt: "Please find a way to create discriminated unions in python with pydantic and abstract base classes, without having to explicitly spell out the discriminator field in the class as a 'Literal' type."
Prompt: "Please find a way to create discriminated unions in python with pydantic and abstract base classes, without having to explicitly spell out the discriminator field in the class as a 'Literal' type."
🐍📰 A Close Look at a FastAPI Example Application
Set up an example FastAPI app, add path and query parameters, and handle CRUD operations with Pydantic for clean, validated endpoints
realpython.com/fastapi-pyth...
Set up an example FastAPI app, add path and query parameters, and handle CRUD operations with Pydantic for clean, validated endpoints
realpython.com/fastapi-pyth...
November 6, 2025 at 2:20 AM
🐍📰 A Close Look at a FastAPI Example Application
Set up an example FastAPI app, add path and query parameters, and handle CRUD operations with Pydantic for clean, validated endpoints
realpython.com/fastapi-pyth...
Set up an example FastAPI app, add path and query parameters, and handle CRUD operations with Pydantic for clean, validated endpoints
realpython.com/fastapi-pyth...