# Example

## Define an API

```python
# main.py

print("hello world")
```

## Create a `Dockerfile`

```
FROM python:3.8-slim

COPY main.py /

CMD exec python main.py
```

## Build an image

```bash
docker build . -t hello-world
```

## Run a container locally

```bash
docker run -it --rm hello-world
```

## Login to ECR

```bash
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com
```

## Create a repository

```bash
aws ecr create-repository --repository-name hello-world
```

## Tag the image

```bash
docker tag hello-world <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world
```

## Push the image

```bash
docker push <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world
```

## Configure a Cortex deployment

```yaml
# cortex.yaml

- name: hello-world
  kind: TaskAPI
  pod:
    containers:
    - name: api
      image: <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world
      command: ["python", "main.py"]
```

## Create a Cortex deployment

```bash
cortex deploy
```

## Get the API endpoint

```bash
cortex get hello-world
```

## Make a request

```bash
curl -X POST -H "Content-Type: application/json" -d '{}' http://***.amazonaws.com/hello-world
```

## View the logs

```bash
cortex logs hello-world <JOB_ID>
```


---

# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.cortexlabs.com/0.38/workloads/task/example.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

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