> For the complete documentation index, see [llms.txt](https://docs.imerit.net/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.imerit.net/sdk/sdk-documentation/organization-level-sdk-functions/send_notification.md).

# send\_notification

`imerit_ango.sdk.SDK.`

## send\_notification(receivers, message, title, clickable\_link)

Send custom notifications to one or more users within your organization

### Parameters

* **receivers:** List\[str]
  * Email addresses of the members who should receive the notification.
  * You can include up to 100 unique addresses.
* **message:** string
  * The notification message. Maximum length: 1000 characters.
* **title:** string, *Optional, Default None*
  * A title for the notification. Maximum length: 200 characters.
* **clickable\_link:** string, *Optional, Default None*
  * An absolute `http` or `https` URL, up to 2048 characters, that opens in a new browser tab when users click the notification.

Returns:

* **output:** dict
  * A dictionary containing a `status` field and the created notification in `data.notification`.

<details open>

<summary><strong>How to verify in Ango Hub?</strong></summary>

After successfully sending the notification, recipients can open the notification panel from the bell icon in the top-right corner of Ango Hub. The notification is labeled **Project Notification** and shows the sender, optional title, and message.

</details>

{% hint style="info" %}
Notifications sent using this function appear under the **Other** tab in the notification center.
{% endhint %}

{% hint style="warning" %}
The API key must belong to an organization administrator. Recipients must be members of the organization associated with the API key.
{% endhint %}

### Example

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

```python
import os
from dotenv import load_dotenv
from imerit_ango.sdk import SDK

load_dotenv('variables.env')
api_key = os.getenv('API_KEY')

ango_sdk = SDK(api_key)

sdk_response = ango_sdk.send_notification(
    receivers=["labeler@example.com", "reviewer@example.com"],
    title="Project update",
    message="The new task batch is ready for labeling.",
    clickable_link="https://imerit.ango.ai/projects/PROJECT_ID"
)
```

{% endtab %}

{% tab title="curl" %}

```bash
curl -X POST "https://imeritapi.ango.ai/v2/notifications" \
  -H "Content-Type: application/json" \
  -H "apikey: $ANGO_API_KEY" \
  -d '{
    "receivers": [
      "labeler@example.com",
      "reviewer@example.com"
    ],
    "title": "Project update",
    "message": "The new task batch is ready for labeling.",
    "clickableLink": "https://imerit.ango.ai/projects/PROJECT_ID"
  }'
```

{% endtab %}
{% endtabs %}

{% hint style="info" %}
**See also**

[Notifications](/core-concepts/notifications.md), [get\_organization\_members](/sdk/sdk-documentation/organization-level-sdk-functions/get_organization_members.md)
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

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

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.imerit.net/sdk/sdk-documentation/organization-level-sdk-functions/send_notification.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
