Google Cloud Run

.
├── Dockerfile
├── requirements.txt
└── api/
    └── api.py

from flask import Flask, request, jsonify
from swarms import Agent

app = Flask(__name__)

agent = Agent(
    agent_name="Stock-Analysis-Agent",
    model_name="gpt-5.4",
    max_loops="auto",
    interactive=True,
    streaming_on=True,
)


@app.route("/run-agent", methods=["POST"])
def run_agent():
    data = request.json
    task = data.get("task", "")
    result = agent.run(task)
    return jsonify({"result": result})


if __name__ == "__main__":
    app.run(host="0.0.0.0", port=8080)

flask
swarms

FROM python:3.10-slim
WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY api/ ./api/

EXPOSE 8080
CMD ["python", "api/api.py"]

gcloud auth login
gcloud config set project [PROJECT_ID]

# 1. Create the registry
gcloud artifacts repositories create my-repo \
    --repository-format=Docker \
    --location=us-central1

# 2. Authenticate Docker against the registry
gcloud auth configure-docker us-central1-docker.pkg.dev

# 3. Build and tag the image
docker build -t us-central1-docker.pkg.dev/[PROJECT_ID]/my-repo/my-image .

# 4. Push it
docker push us-central1-docker.pkg.dev/[PROJECT_ID]/my-repo/my-image

gcloud run deploy my-agent-service \
    --image us-central1-docker.pkg.dev/[PROJECT_ID]/my-repo/my-image \
    --platform managed \
    --region us-central1 \
    --allow-unauthenticated

curl -X POST [CLOUD_RUN_URL]/run-agent \
    -H "Content-Type: application/json" \
    -d '{"task": "Summarise the latest performance of AAPL"}'

docker build -t us-central1-docker.pkg.dev/[PROJECT_ID]/my-repo/my-image .
docker push us-central1-docker.pkg.dev/[PROJECT_ID]/my-repo/my-image
gcloud run deploy my-agent-service \
    --image us-central1-docker.pkg.dev/[PROJECT_ID]/my-repo/my-image