config

A YAML-based way to define and run Google ADK agents without writing their basic setup in code. YAML is a human-readable configuration-file format; ADK is Google's framework for building agent workflows.

In plain words
What is it for?
Use it to configure agents, models, instructions, functions, tools, and sub-agents through Agent Config files. The feature is experimental.
Why use it?
It lets people describe an agent and its instructions in a text file, while also supporting more complex workflows with tools and sub-agents.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/google/adk-docs/config
Clone the repo
git clone --depth 1 https://github.com/google/adk-docs
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,963 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.02963
Opus 5 $0.00000 $0.01482
Sonnet 5 $0.00000 $0.00593
Haiku 4.5 $0.00000 $0.00296

Measured yesterday against content hash 046ed44c76fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

config scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

docs/agents/config.md · 310 lines

How it starts

The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build agents with Agent Config

The ADK Agent Config feature lets you build an ADK workflow without writing code. An Agent Config uses a YAML format text file with a brief description of the agent, allowing just about anyone to assemble and run an ADK agent. The following is a simple example of a basic Agent Config definition:

name: assistant_agent
model: gemini-flash-latest
description: A helper agent that can answer users' questions.
instruction: You are an agent to help answer users' various questions.

You can use Agent Config files to build more complex agents which can incorporate Functions, Tools, Sub-Agents, and more. This page describes how to build and run ADK workflows with the Agent Config feature. For detailed information on the syntax and settings supported by the Agent Config format, see the Agent Config syntax reference.

!!! example "Experimental" The Agent Config feature is experimental and has some known limitations. We welcome your feedback!

Get started

This section describes how to set up and start building agents with the ADK and the Agent Config feature, including installation setup, building an agent, and running your agent.

Setup

You need to install the Google Agent Development Kit libraries, and provide an access key for a generative AI model such as Gemini API. This section provides details on what you must install and configure before you can run agents with the Agent Config files.

!!! note The Agent Config feature currently only supports Gemini models. For more information about additional; functional restrictions, see Known limitations.

Read the full file on GitHub · 310 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 310 lines · 0 tokens per session scan A 046ed44c76fa

Subscribe to this mod's changes

config is an agent published in the GitHub repository google/adk-docs (1,479 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,963 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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