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Google Agent Development Kit (ADK). Code-first Python toolkit for building, evaluating, and deploying AI agents. Multi-agent orchestration, tool integration, built-in evaluation, and deployment to Vertex AI.
Passed 25 of 25 test cases with the skill, and 13 of 25 without it.
and 11 more in the full report
12 fixed13 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the exact import statement required to import Agent in a Google ADK Python script.
| Checked | Without skill | With skill |
|---|---|---|
| Writes from google.adk.agents import Agent | Missed | Passed |
The instructions your model reads when the skill loads.
Google Agent Development Kit (ADK) is a code-first Python framework for building AI agents powered by Gemini. Supports tool integration, handoffs between agents, guardrails, multi-agent graphs, and deployment to Vertex AI Agent Builder for production serving.
uv pip install google-adk
from google.adk.agents import Agent
from google.adk.tools import FunctionTool
def get_weather(location: str) -> str:
return f"The weather in {location} is 22C and sunny."
agent = Agent(
name="weather_agent",
model="gemini-2.0-flash",
instruction="You are a helpful weather assistant.",
tools=[FunctionTool(get_weather)],
)
response = agent.run("What's the weather in Paris?")
print(response.content)
research = Agent(name="researcher", model="gemini-2.0-flash", ...)
writer = Agent(name="writer", model="gemini-2.0-flash", ...)
reviewer = Agent(name="reviewer", model="gemini-2.0-flash", ...)
from google.adk.runners import Runner
runner = Runner(agents=[research, writer, reviewer])
result = runner.run("Research and write about quantum computing.")
test cases passed, vs 13 / 25 without
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