# Make Requests to a Dedicated Deployment

### Use Python SDK

Please install the latest version of our Python SDK [inference\_sdk](https://pypi.org/project/inference-sdk/) with `pip install --upgrade inference-sdk`.

When your dedicated deployment is ready, copy its URL:

<figure><img src="/files/z3m3U5IPkn4SqZB7Buw6" alt=""><figcaption><p>Copy URL of your dedicated deployment when it's ready</p></figcaption></figure>

and paste it to the parameter `api_url` when initialise `InferenceHTTPClient` , and that's it!

Here is an example for running model inference, you can find more details in [the documentation of inference\_sdk](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")
```

### Use HTTP API

You can also access [the HTTP APIs](https://inference.roboflow.com/api/) which are listed under `/docs`, e.g,, `https://dev-testing.roboflow.cloud/docs` .

Please attach your workspace `api_key` as a query parameter when access these endpoints.

Here is an example for making the same request as above using HTTP API:

```
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)
```

### Use Workflow UI

A dedicated deployment can also be used as the backend server for running [Roboflow Workflows](https://roboflow.com/workflows/build). Roboflow Workflows is a low-code, web-based application builder for creating computer vision applications.

After creating your workflow, click on the **Running on Hosted API** link in the top left corner:

<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>Changing the backend where the workflow will execute.</p></figcaption></figure>

Click **Dedicated Deployments** to see the list of your dedicated deployments, select the target deployment, then click **Connect**:

<figure><img src="/files/grPXnXiQeZURgTF1blsg" alt=""><figcaption><p>Select a target dedicated deployment as the backend server for workflow execution.</p></figcaption></figure>

Now you are ready to use your dedicated deployment in the workflow editor.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

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

```
GET https://docs.roboflow.com/deploy/dedicated-deployments/make-requests-to-a-dedicated-deployment.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.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.