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Description
When you deploy a basic agent to Cloud Run, somehow the framework core is so slow to boot that is unusable.
25s + cold starts constantly, using the bare minimum examples from Tutorial.
Improvements need to be made here, to reduce boilerplate for cold starts.

Dockerfile
FROM python:3.13-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
RUN adduser --disabled-password --gecos "" myuser && \
chown -R myuser:myuser /app
COPY . .
USER myuser
ENV PATH="/home/myuser/.local/bin:$PATH"
CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port $PORT"]
main.py
import os
import uvicorn
from google.adk.cli.fast_api import get_fast_api_app
# Get the directory where main.py is located
AGENT_DIR = os.path.dirname(os.path.abspath(__file__))
# Example session service URI (e.g., SQLite)
SESSION_SERVICE_URI = "sqlite:///./sessions.db"
# Example allowed origins for CORS
ALLOWED_ORIGINS = ["http://localhost", "http://localhost:8080", "*"]
# Set web=True if you intend to serve a web interface, False otherwise
SERVE_WEB_INTERFACE = True
# Call the function to get the FastAPI app instance
# Ensure the agent directory name ('capital_agent') matches your agent folder
app = get_fast_api_app(
agents_dir=AGENT_DIR,
session_service_uri=SESSION_SERVICE_URI,
allow_origins=ALLOWED_ORIGINS,
web=SERVE_WEB_INTERFACE,
)
# You can add more FastAPI routes or configurations below if needed
# Example:
# @app.get("/hello")
# async def read_root():
# return {"Hello": "World"}
if __name__ == "__main__":
# Use the PORT environment variable provided by Cloud Run, defaulting to 8080
uvicorn.run(app, host="0.0.0.0", port=int(os.environ.get("PORT", 8080)))
my cold start command is to create a session
curl -X POST
"$APP_URL/apps/demo_agent/users/api_user/sessions/api_session_1" \
-H "Content-Type: application/json" \
-d '{"state": {}}' # Optional initial state
SaschaHeyer
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bot triaged[Bot] This issue is triaged by ADK bot[Bot] This issue is triaged by ADK botcore[Component] This issue is related to the core interface and implementation[Component] This issue is related to the core interface and implementation