# Use with Python SDK

If you are working in Python, the most convenient way to interact with the Serverless API is to use the Inference Python SDK.

To use the [Inference SDK](https://inference.roboflow.com/inference_helpers/inference_sdk/), first install it:

```
pip install inference-sdk
```

To make a request to the Serverless Hosted API, use the following code:

<pre class="language-python"><code class="lang-python"><strong>from inference_sdk import InferenceHTTPClient
</strong>
CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("image.jpg", model_id="model-id/1")
print(result)
</code></pre>

Above, specify your [model ID](https://docs.roboflow.com/developer/authentication/workspace-and-project-ids) and [API key](https://docs.roboflow.com/developer/authentication/find-your-roboflow-api-key). This code will run your model and return the results.

#### Roboflow Instant Model

Serverless API also supports running Roboflow [Instant Model](/train/roboflow-instant.md). You can run Instant Model just like any other model, just note that the confidence threshold can be sensitive for Instant Models.

{% hint style="info" %}
An optimal confidence depends on the number of images the model has been trained on. Optimal confidence thresholds usually range from 0.85 to 0.99.
{% endhint %}

```python
configuration = InferenceConfiguration(
    confidence_threshold=0.95
)
CLIENT.configure(configuration)

result = CLIENT.infer("image.jpg", model_id="roboflow-instant-model-id/1")
```


---

# 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/serverless-hosted-api-v2/use-with-python-sdk.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.