ADK Code Reference

Activate /google-agents-cli-workflow first for required development phases and scaffolding steps.

1. Study Recipes (No Project Needed)

Read the topic index in references/samples.md before answering "how do I build X". Worked implementations exist for: sandboxed/per-user code execution, agent-loadable SKILL.md skills, cross-session memory, approval gates before risky actions, tool guardrails, per-user credentials, and scheduled/event-driven runs.

The index only gives you a name; the recipe is the code. Clone it and read its AGENTS.md before you implement anything it covers. Hand-writing a Docker or E2B sandbox wrapper, a skill loader, a moderation callback or a memory store — for a capability the index lists — means you stopped at the name.

2. Prerequisites for Writing Code

Do NOT write agent code until a project is scaffolded.

1. Verify project: run agents-cli info (proceed if config exists).
2. New project: run agents-cli scaffold create <name>.
3. Existing code: run agents-cli scaffold enhance ..

Language Support: This reference covers the Python ADK SDK. Support for other languages coming soon.

Quick Reference — Most Common Patterns

from google.adk.agents import Agent

def get_weather(city: str) -> dict:
    """Get current weather for a city."""
    return {"city": city, "temp": "22°C", "condition": "sunny"}

root_agent = Agent(
    name="my_agent",
    model="gemini-3.7-flash",
    instruction="You are a helpful assistant that ...",
    tools=[get_weather],
)

---

References

Use cheatsheets for common patterns. For deep knowledge, fetch the docs index or inspect the installed package.

Reference	When to read
references/samples.md	Topic-indexed catalog of ADK reference recipes. Read in workflow Phase 1 — before scaffolding and before writing code — maps a capability to the recipe that implements it.
references/adk-python.md	Core ADK API: Agent, tools, callbacks, plugins, state, artifacts, multi-agent systems, SequentialAgent / ParallelAgent / LoopAgent, custom BaseAgent, ManagedAgent (server-hosted first-party agents), A2A protocol, A2UI. Default for most agents.
references/adk-workflows.md	Graph-based Workflow API (ADK 2.0): nodes, edges, fan-out/fan-in, HITL, parallel processing. Use when you need explicit graph topology.
curl https://adk.dev/llms.txt	Docs index (every page title + URL). Fetch it, then WebFetch the specific page for anything beyond the cheatsheets.
Installed ADK package	Exact signatures and symbols — inspect the source (see "Inspecting ADK Source Code" in references/adk-python.md).

Related Skills

• /google-agents-cli-workflow — Development workflow, coding guidelines, and operational rules
• /google-agents-cli-scaffold — Project creation and enhancement with agents-cli scaffold create / scaffold enhance
• /google-agents-cli-eval — Evaluation methodology, dataset schema, and the eval-fix loop
• /google-agents-cli-deploy — Deployment targets, CI/CD pipelines, and production workflows