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How to build an agent and test it in ADK's web UI with Adk Python

Define an agent in a few lines of Python and chat with it in the built-in development UI.

Short answer: Install with pip install google-adk (Python 3.11+); then create an Agent with a name, model and instruction, as in the Quick Start, and assign it to root_agent; chat with it in the terminal with adk run path/to/my_agent. All steps.

  • Top pick
  • Software and DevOps
  • Beginner
  • 20 minutes
  • From the README
  • Claude Code
  • Codex
  • Cursor
  • Gemini CLI

Who it is forA developer prototyping an assistant who wants to see tool calls and responses before writing an app around it.

The problemTesting an agent from print statements makes it hard to see what it did and why.

The outcomeA working root_agent you can run from the terminal or debug in the ADK web UI.

What you need first

  • Python 3.11 or later
  • pip
  • A model to call, such as Gemini; ADK is model-agnostic
  • For Cloud Run deploys: a Google Cloud project; for local containers: Docker

Steps

  1. Install with pip install google-adk (Python 3.11+)
  2. Create an Agent with a name, model and instruction, as in the Quick Start, and assign it to root_agent
  3. Chat with it in the terminal with adk run path/to/my_agent
  4. Open the development UI with adk web path/to/agents_dir to test, debug and showcase it
  5. Add optional integrations with pip install "google-adk[extensions]" when you need them

Prompt for your agent

Using google/adk-python, create an agent folder with a root_agent that <describe job>, give it <tools>, and run it with `adk web path/to/agents_dir`. Show me a test conversation and the tool calls it made.

Caveat. Releases land roughly every two weeks and this is ADK 2.0, so older tutorials may not match; the README also offers constraints files for safer installs.

Use this in your AI agent

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Using the Deduped MCP, get the setup steps for google/adk-python and "Build an agent and test it in ADK's web UI"

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