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Pydantic

@pydantic

The Pydantic Stack: Pydantic Validation, Pydantic AI, Pydantic Logfire, Pydantic Evals, and Pydantic AI Gateway

London Inscrit le Ağustos 2022
163 Abonnements18.6K Abonnés
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Pydantic
Pydantic@pydantic·
AI observability can cost more than it should. We ran the numbers: same scale, same workload, four tools. At moderate production load, Logfire is up to 40x less expensive than the alternatives. Spans-based pricing. No proprietary units. AI native and full-stack observability in one platform. See the full comparison: pydantic.dev/articles/ai-ob…
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Gilfoyle
Gilfoyle@wangleineo·
@GergelyOrosz The most elegant approach is perhaps a restricted runtime, something like @pydantic 's Monty. I believe lua is another out-of-the-box option. x.com/samuelcolvin/s…
Samuel Colvin@samuelcolvin

Fuck it, a bit early but here goes: Monty: a new python implementation, from scratch, in rust, for LLMs to run code without host access. Startup time measured in single digit microseconds, not seconds. @mitsuhiko here's another sandbox/not-sandbox to be snarky about 😜 Thanks @threepointone @dsp_ (inadvertently) for the idea. github.com/pydantic/monty

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LowCodeAllgood
LowCodeAllgood@LouisAllgood·
We ship world class products and invite legends to talk about ace developments. A sick combo. @samuelcolvin it was awesome meeting you at Downing Street and shout out to @davidgelberg for organising. Long live pydantic
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Gus Fraser
Gus Fraser@gusfraser·
Loving the new @pydantic Logfire agent dashboard 😍 @HeyHelixAI runs 20+ agents, each tuned for one job. Spotted one burning 514 thinking tokens to output 35 tokens of JSON. Dropped thinking_level from "medium" to "low" → saved 2-3s per call, same accuracy. Don't crack a nut with a sledgehammer!
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Global AI Community
Global AI Community@GlobAICommunity·
Your agent needs a sandbox, not a desert. That one line from @samuelcolvin, CEO and Founder of @pydantic , tells you everything about where most agent deployments go wrong. If you're building agents in production, this is the session you don't want to miss at AgentCon Silicon Valley. Monday, 4 May 2026 at the Computer History Museum, Mountain View. Free to attend. 👉 agentcon.city/silicon-valley #AgentCon #GlobalAICommunity #AIAgents #AgentConSiliconValley #Pydantic
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Pydantic@pydantic·
@0xVikk Both - the prompt is small, AND you can significantly reduce the number of LLM calls made AND you can avoid large outputs going through context.
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Vik@0xVikk·
@pydantic "reduced token usage" did you measure the actual token drop per tool call or just the definition size?
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Pydantic@pydantic·
Our newest blogpost is a practical guide to optimizing MCP server tool definitions for reduced token usage, using snapshot testing in Rust. pydantic.dev/articles/engin…
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Samuel Colvin
Samuel Colvin@samuelcolvin·
I need to speak to someone at HackerOne @Hacker0x01 somewhat urgently for @pydantic. Anyone know anyone there?
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David Gelberg
David Gelberg@davidgelberg·
new concept in no10 - instead of talking about AI we ship it, then bring in the smartest people in tech to keep us honest
Samuel Colvin@samuelcolvin

Absolute honour to be invited to @10DowningStreet by @davidgelberg today to talk about AI and @pydantic. Surreal that the UK government is in a large part defined in Pydantic models. I continue to be impressed by how the UK government is adopting and leveraging AI. Now we just need a British model!

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Samuel Colvin
Samuel Colvin@samuelcolvin·
Absolute honour to be invited to @10DowningStreet by @davidgelberg today to talk about AI and @pydantic. Surreal that the UK government is in a large part defined in Pydantic models. I continue to be impressed by how the UK government is adopting and leveraging AI. Now we just need a British model!
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