> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/dedicated-deployments/make-requests-to-a-dedicated-deployment.md).

# Dedicated Deployment에 요청 보내기

### Python SDK 사용

최신 버전의 Python SDK를 설치해 주세요 [inference\_sdk](https://pypi.org/project/inference-sdk/) 와 함께 `pip install --upgrade inference-sdk`.

전용 deployment가 준비되면 해당 URL을 복사하세요:

<figure><img src="/files/d89a6cee5cca1d250bd5ede789d9c469cce2bb0e" alt=""><figcaption><p>전용 deployment가 준비되면 URL을 복사하세요</p></figcaption></figure>

그리고 이를 매개변수에 붙여넣으세요 `api_url` 초기화할 때 `InferenceHTTPClient` , 그러면 끝입니다!

다음은 model inference를 실행하는 예시이며, 자세한 내용은 [inference\_sdk 문서에서 확인할 수 있습니다](https://inference.roboflow.com/inference_helpers/inference_sdk/).

```
from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://dev-testing.roboflow.cloud",
    api_key="ROBOFLOW_API_KEY"
)

image_url = "https://source.roboflow.com/pwYAXv9BTpqLyFfgQoPZ/u48G0UpWfk8giSw7wrU8/original.jpg"
result = CLIENT.infer(image_url, model_id="soccer-players-5fuqs/1")
```

### HTTP API 사용

또한 액세스할 수 있습니다 [HTTP API](https://inference.roboflow.com/api/) 다음에 나열된 `/docs`, 예를 들면, `https://dev-testing.roboflow.cloud/docs` .

workspace를 첨부해 주세요 `api_key` 이 엔드포인트에 액세스할 때 쿼리 매개변수로.

다음은 위와 동일한 요청을 HTTP API로 만드는 예시입니다:

```
import requests
import json

api_url = "https://dev-testing.roboflow.cloud"
model_id = "soccer-players-5fuqs/1"
image_url = "https://source.roboflow.com/pwYAXv9BTpqLyFfgQoPZ/u48G0UpWfk8giSw7wrU8/original.jpg"

resp = requests.get(f"{api_url}/{model_id}", params = {"api_key": "ROBOFLOW_API_KEY", "image": image_url})
result = json.loads(resp.content)
```

### Workflow UI 사용

전용 deployment는 실행을 위한 백엔드 서버로도 사용할 수 있습니다 [Roboflow Workflows](https://roboflow.com/workflows/build). Roboflow Workflows는 컴퓨터 비전 애플리케이션을 만들기 위한 로우코드 웹 기반 애플리케이션 빌더입니다.

workflow를 생성한 후 **Running on Hosted API** 왼쪽 상단의 링크를 클릭하세요:

<figure><img src="https://blog.roboflow.com/content/images/2024/09/Screenshot-2024-09-03-at-18.26.29.png" alt="" height="102" width="354"><figcaption><p>workflow가 실행될 백엔드를 변경합니다.</p></figcaption></figure>

클릭 **Dedicated Deployments** 전용 deployment 목록을 보려면 대상 deployment를 선택한 다음 **Connect**:

<figure><img src="/files/faa1ae192094a9e9e5e1806eb5cfa12cd51a09e3" alt=""><figcaption><p>workflow 실행을 위한 백엔드 서버로 대상 전용 deployment를 선택합니다.</p></figcaption></figure>

이제 workflow editor에서 전용 deployment를 사용할 준비가 되었습니다.


---

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