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databricks Platform · Updated Feb 10, 2026

New documentation for authoring and deploying agents on Databricks Apps

New documentation and project templates are available for building and deploying AI agents on Databricks Apps.

Update Open docs ↗release note ↗
What it does

New documentation and project templates are available for building and deploying AI agents on Databricks Apps. Author agents with popular libraries like LangGraph, PyFunc, and OpenAI Agent SDK, then deploy them on Databricks Apps. Build an AI agent and deploy it using Databricks Apps.

Why it matters

+ Comprehensive tool calling message history: Return multiple messages, including intermediate tool calling messages, for improved quality and conversation management.

Key capabilities
Multi-agent support
Multi-agent support
Streaming output: Stream the output
Streaming output: Stream the output in smaller chunks.
Comprehensive tool-calling message history: Return
Comprehensive tool-calling message history: Return multiple messages, including intermediate tool-calling messages, for improved…
Tool-calling confirmation support
Tool-calling confirmation support
Architecture
Databricks Platform → Platform
In short

New documentation and project templates are available for building and deploying AI agents on Databricks Apps. Author agents with popular libraries like LangGraph, PyFunc, and OpenAI Agent SDK, then deploy them on Databricks Apps.

Read the full documentation ↗
Key takeaway
New documentation and project templates are available for building and deploying AI agents on Databricks Apps.
2026-02-10-new-documentation-for-authoring-and-deploying-agents-on-databricks-apps Generated by the Databricks Updates Agent · browse all updates