If you're trying to deploy an ADK agent with Gemini 3 to Agent Engine and getting a 404 error, here's the fix.
TL;DR
Two ways to make it work:
1. adk deploy agent_engine command
Pass a .env file containing GOOGLE_CLOUD_LOCATION=global via the --env_file flag.
uv run adk deploy agent_engine \
--project=$PROJECT_ID \
--region=$LOCATION_ID \
--env_file=$ENV_FILE \
--display_name="Greeting Agent" \
sample_agent
2. Python script
Add the following to the agent_engines.create parameters:
remote_agent = agent_engines.create(
agent_engine=root_agent,
display_name="Greeting Agent",
requirements=[...],
env_vars={
"GOOGLE_CLOUD_LOCATION": "global", # ← set the global region
},
)
Sample code
Koichi73
/
adk-gemini-3-in-agent-engine
How to run ADK agents, including Gemini 3, on Agent Engine.
Run Gemini 3 Series on ADK + Agent Engine
A sample project for deploying ADK agents with Gemini 3 series models (e.g., gemini-3-flash-preview) to Agent Engine.
To use Gemini 3 series on Agent Engine, you need to pass the environment variable GOOGLE_CLOUD_LOCATION=global. This repository demonstrates two ways to do that.
Prerequisites
- Python 3.11+
- uv
- Google Cloud project with Vertex AI API enabled
- GCS bucket for staging
Setup
cp .env.example .env
# Edit .env and set GOOGLE_CLOUD_PROJECT, BUCKET_NAME
uv sync
Deployment
Option 1: Shell script (adk deploy CLI)
Pass the path to a .env file containing GOOGLE_CLOUD_LOCATION=global via the --env_file option of adk deploy agent_engine.
bash deploy.sh
# Relevant part of deploy.sh
uv run adk deploy agent_engine \
--project=$PROJECT_ID \
--region=$LOCATION_ID \
--env_file=$ENV_FILE \ # ← path to .env file containing GOOGLE_CLOUD_LOCATION=global
--display_name="Greeting Agent" \
sample_agent
Option 2: Python script
Pass…
Why does this happen?
- Gemini 3 models (as of March 2026) are only available in the
globalregion - Agent Engine deployments don't let you specify
globalas the region directly - Without this workaround, ADK agents deployed to Agent Engine will hit a 404 error — the model can't be found
Result
Agent definition:
from google.adk.agents.llm_agent import Agent
MODEL = "gemini-3-flash-preview"
root_agent = Agent(
model=MODEL,
name='root_agent',
description="greeting",
instruction="Please greet me cheerfully.",
)
Agent Engine playground:
That's it — hope this saves you some debugging time!

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