# Images

Many models support processing **image inputs**. This lets you combine text and images for richer, multimodal interactions. To get a full list of models, visit [cortecs.ai](https://cortecs.ai/serverlessModels) and filter by the **Image** tag.

**Code Samples:**

* **Using Image URLs:**

You can send images directly by referencing a public image URL.

{% tabs %}
{% tab title="Python" %}

```python
from openai import OpenAI

client = OpenAI(
  base_url="https://api.cortecs.ai/v1",
  api_key="<API_KEY>",
)

completion = client.chat.completions.create(
  model="<MODEL_NAME>",
  messages=[
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What is in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
            }
          }
        ]
      }
    ],
)

print(completion.choices[0].message.content)
```

{% endtab %}

{% tab title="Node.js" %}

```javascript
import OpenAI from "openai";

const openai = new OpenAI({
    baseURL: 'https://api.cortecs.ai/v1',
    apiKey: '<API_KEY>'
});

const completion = await openai.chat.completions.create({
  model: "<MODEL_NAME>",
  messages: [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What is in this image?"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          }
        }
      ]
    }
  ]
});

console.log(completion.choices[0].message.content);
```

{% endtab %}

{% tab title="Curl" %}

```bash
curl 'https://api.cortecs.ai/v1/chat/completions' \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer <API_KEY>' \
    -d '{
      "model": "<MODEL_NAME>",
      "messages": [
        {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "What is in this image?"
            },
            {
              "type": "image_url",
              "image_url": {
                "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
              }
            }
          ]
        }
       ]
     }'
```

{% endtab %}
{% endtabs %}

* **Using Base64 Encoded Images:**

For local or private images that are not publicly accessible, you can embed the image using Base64 encoding.

{% tabs %}
{% tab title="Python" %}

```python
from openai import OpenAI
import base64

with open("path/to/image.png", "rb") as image_file:
    base64_image = base64.b64encode(image_file.read()).decode("utf-8")

client = OpenAI(
    base_url="https://api.cortecs.ai/v1",
    api_key="<API_KEY>",
)


completion = client.chat.completions.create(
    model="<MODEL_NAME>",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "What is in this image?"
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"data:image/png;base64,{base64_image}"
                    }
                }
            ]
        }
    ],
)

print(completion.choices[0].message.content)

```

{% endtab %}

{% tab title="Node.js" %}

```javascript
import fs from "fs";
import OpenAI from "openai";


const imageBuffer = fs.readFileSync("path/to/image.png");
const base64Image = imageBuffer.toString("base64");

const openai = new OpenAI({
  baseURL: "https://api.cortecs.ai/v1",
  apiKey: "<API_KEY>"
});

const completion = await openai.chat.completions.create({
  model: "<MODEL_NAME>",
  messages: [
    {
      role: "user",
      content: [
        {
          type: "text",
          text: "What is in this image?"
        },
        {
          type: "image_url",
          image_url: {
            url: `data:image/png;base64,${base64Image}`
          }
        }
      ]
    }
  ]
});

console.log(completion.choices[0].message.content);

```

{% endtab %}

{% tab title="Curl" %}

```bash
base64_image=$(base64 -w 0 path/to/image.png)

curl 'https://api.cortecs.ai/v1/chat/completions' \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer <API_KEY>' \
  -d '{
    "model": "<MODEL_NAME>",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What is in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "data:image/png;base64,'"${base64_image}"'"
            }
          }
        ]
      }
    ]
  }'

```

{% endtab %}
{% endtabs %}


---

# 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.cortecs.ai/usage/images.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.