On August 17, 2025, we released v1.11.0 of adk-docker-base. This update focuses on leaner images and updated core dependencies, ensuring that your AI agents have a fast, efficient, and up-to-date foundation.

What’s new

  • Core ADK Update: The base image now includes google-adk v1.11.0.
  • Slimmer Base Image: We’ve transitioned from the full Python 3.12 image to python:3.12-slim, significantly reducing the overall image size.
  • Build Optimizations: New build-time enhancements, including pip cache mounts and binary preferences, make image creation faster and more reliable.
  • Updated Recommendations: Our documentation now suggests using gemini-2.5-flash as the recommended model for agent development.

Why it matters

  • Faster Deployments: The switch to a slim image reduces the footprint of your containers, leading to faster pull times and reduced storage costs across your environments.
  • Improved Stability: Updates to the ADK and refined pip configurations ensure a more robust and reliable environment for your AI agents.
  • Efficient CI/CD: The build optimizations reduce the time spent waiting for images to be built in your continuous integration pipelines.

Getting started with v1.11.0

Upgrading is simple. Just update the FROM instruction in your project’s Dockerfile:

FROM ghcr.io/unitvectory-labs/adk-docker-base:v1.11.0

Note for developers: Because we have transitioned to a slim Python image, certain system-level build tools (such as gcc or make) are no longer included by default. If your project’s additional dependencies require these tools for installation, please add them explicitly to your own Dockerfile using apt-get.

This post was AI-generated. Model: unsloth/gemma-4-31B-it-GGUF:UD-Q5_K_XL Repository: UnitVectorY-Labs/adk-docker-base Release: v1.11.0 Date: 2026-04-09 Author: release-storyteller