Make your media and AI output type-safe with Pixeltable
You already know type safety from Pydantic. Pixeltable extends it to the images, video and LLM output you store, and guarantees that everything derived from them is made the same way for every file. We build a secondhand marketplace app with Pixeltable as its backend: sellers post a price and photos, Gemini writes the title, description and condition into a Pydantic model, and shoppers search or ask for "a like-new lamp under $100". Every step shows up in Logfire.
Pixeltable extends Pydantic's type safety to the images, video and LLM output you store, with every step visible in Logfire.
Overview
- Live workshop
- Online event
- Free
Speakers
-
Alison Hill VP Product · Pixeltable VP Product at Pixeltable. Previously led product for R Markdown, Quarto and conda. -
Laís Carvalho Developer Relations, host · Pydantic Growth marketing & Developer Relations at Pydantic. Passionate about Python, open source, and building great developer experiences.
About this event
You already know type safety from Pydantic. Pixeltable extends it to the images, video and LLM output you store, and guarantees that everything derived from them is made the same way for every file. We build a secondhand marketplace app with Pixeltable as its backend: sellers post a price and photos, Gemini writes the title, description and condition into a Pydantic model, and shoppers search or ask for "a like-new lamp under $100". Every step shows up in Logfire.
Who it's for: Python developers who use Pydantic and build apps that store images, video, audio, documents or LLM output.
What you'll learn
- Pydantic models as the shape of what Pixeltable stores, including LLM output
- Every LLM call Pixeltable makes, on every row, in Logfire
- What happens to a broken or mislabeled file, and how the refusal shows up in Logfire
- Query results and API responses back as Pydantic models
- A Pydantic AI agent searching Pixeltable tables, each query traced under its tool call
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