Deploy Agents

Deploy your agents to production with Celesto Cloud or self-host on your own infrastructure.

Deploy to Celesto Cloud

Deploy your agent with a single command using Agentor.

Create Your Agent

First, create your agent with the tools you need:

from agentor import Agentor

agent = Agentor(
    name="Weather Agent",
    model="gpt-4",
    tools=["get_weather"]
)

Deploy Your Agent

Deploy your agent with a single command:

celesto deploy

View deployment output

✓ Building agent...
✓ Pushing to Celesto Cloud...
✓ Deploying agent...

🚀 Agent deployed successfully!

Endpoint: https://api.celesto.ai/v1/apps/your-agent-id
Dashboard: https://celesto.ai/apps/your-agent-id

Your agent is now live and accessible via the API endpoint. Visit the dashboard to monitor performance and manage settings.

Self-Hosted Deployment

Deploy agents on your own infrastructure using Docker or Kubernetes.

Docker
Kubernetes

Create a Dockerfile in your project:

FROM python:3.11-slim

WORKDIR /app

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

COPY . .

EXPOSE 8000

CMD ["python", "agent.py"]

Build and run your container:

docker build -t my-agent .
docker run -p 8000:8000 my-agent

Create a deployment manifest:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: agent-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: my-agent
  template:
    metadata:
      labels:
        app: my-agent
    spec:
      containers:
      - name: agent
        image: my-agent:latest
        ports:
        - containerPort: 8000
        env:
        - name: OPENAI_API_KEY
          valueFrom:
            secretKeyRef:
              name: agent-secrets
              key: openai-api-key

Deploy to your cluster:

kubectl apply -f deployment.yaml

Environment Variables

Set required environment variables for your deployment:

OPENAI_API_KEY

string

required

Your LLM provider API key (OpenAI, Anthropic, etc.)

CELESTO_API_KEY

string

Your Celesto API key for accessing managed tools and services

PORT

integer

default:"8000"

Port to run the agent server on

LOG_LEVEL

string

default:"INFO"

Logging level: DEBUG, INFO, WARNING, ERROR

Monitoring & Logs

Celesto Dashboard

Monitor agent performance, view logs, and track usage metrics in real-time.

Health Checks

Built-in health endpoint at /health for monitoring and load balancers.

For production deployments, we recommend setting up monitoring, logging, and auto-scaling based on your traffic patterns.

Getting Started

Agentor

Tools and MCP Servers

Guides

Deploy to Celesto Cloud

Self-Hosted Deployment

Environment Variables

Monitoring & Logs

Celesto Dashboard

Health Checks

Getting Started

Agentor

Tools and MCP Servers

Guides

​Deploy to Celesto Cloud

​Self-Hosted Deployment

​Environment Variables

​Monitoring & Logs

Celesto Dashboard

Health Checks

Deploy to Celesto Cloud

Self-Hosted Deployment

Environment Variables

Monitoring & Logs