No Code Agents with AgentBricks
Proposed session for SQLBits 2026TL; DR
AgentBricks is a new framework for designing, testing, and deploying production-grade AI agents natively on the Databricks Lakehouse. This session introduces the architecture behind AgentBricks and shows how it enables teams to create reliable, auditable, and enterprise-ready agents. We’ll explore how AgentBricks leverages Unity Catalog governance, Lakehouse data pipelines, and Model Serving to orchestrate multi-step agent workflows with full observability.
Session Details
AgentBricks is a new framework for designing, testing, and deploying production-grade AI agents natively on the Databricks Lakehouse. This session introduces the architecture behind AgentBricks and shows how it enables teams to create reliable, auditable, and enterprise-ready agents. We’ll explore how AgentBricks leverages Unity Catalog governance, Lakehouse data pipelines, and Model Serving to orchestrate multi-step agent workflows with full observability.
3 things you'll get out of this session
- Introducing Agentbricks
- Explaining when AgentBricks is useful and when custom agents are neccessary
Speakers
Tori Tompkins's other proposed sessions for 2026
Unlocking the Potential of Retrieval-Augmented Generation (RAG) with Advanced Patterns - 2026
You Think Your MLOps Can Scale GenAI? Think Again. - 2026
AgentBricks vs Mosaic AI - 2026
Real-Time AI with Databricks Online Feature Stores: Powered by Lakebase - 2026