Pydantic

@pydantic

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

London

pydantic.dev

Replies Reposts Media

Pinned
Pydantic
@pydantic
Sep 23
One Jev request, three scores: a policy label, a rubric level, and the probability the reply asks for a password, all recorded in Logfire. Modeled cost of 1M evaluated replies: $62, vs $4,542 with Braintrust before data charges. Blogpost
Cheap AI scoring with Jev and Pydantic Evals
From pydantic.dev
6
Pydantic
@pydantic
14h
Why you need traces when you have logs? New blogpost by @marcelotryle
Logs vs traces: why logs are not enough
From pydantic.dev
1
Pydantic
@pydantic
Oct 21
@e2b is now a native sandbox provider in Pydantic AI. One capability in the list, and the agent's shell runs in a microVM instead of on your laptop. Pause it between runs. Kill the worker and recover in the same sandbox.
Pydantic AI + E2B: sandboxed coding agents in Python
From pydantic.dev
7
Pydantic
@pydantic
Oct 20
Samuel used up his entire Fabel budget in a night, now he wants your validation that it was a good idea.
Samuel Colvin
@samuelcolvin
Oct 20
Mad plot twist - what if Monty could run JS and TS code, and even run and render React components!? Just an experiment for now, but it works amazingly well. This would be especially useful if you want agents to generate UI safely. Feedback welcome. github.com/pydantic/monty…
1
Pydantic
@pydantic
Oct 19
Last call: Tomorrow our engineers sit down with @dosu_ai on keeping internal agents’ company knowledge current: - How to evaluate an internal agent - When a person should review its work - What agents should remember, and memory drift Oct 20 at 8:30am PT/11:30am ET. Register