# Flows

***

After you have a chatflow / agentflow constructed, by default, your flow is available to public. Anyone that has access to the Chatflow ID is able to run prediction through Embed or API.

In cases where you might want to allow certain people to be able to access and interact with it, you can do so by assigning an API key for that specific chatflow.

## API Key

In dashboard, navigate to API Keys section, and you should be able to see a DefaultKey created. You can also add or delete any keys.

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2Fgit-blob-6730b1b93a9b6dab4d24ed3ce6acc2af7de38543%2Fimage%20(6)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1).png?alt=media" alt=""><figcaption></figcaption></figure>

## Chatflow

Navigate to the chatflow, and now you can select the API Key you want to use to protect the chatflow.

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2Fgit-blob-d3bdadc0f88084a6993c5e929ca83159411678b3%2Fimage%20(16)%20(1)%20(1)%20(1).png?alt=media" alt=""><figcaption></figcaption></figure>

After assigning an API key, one can only access the chatflow API when the Authorization header is provided with the correct API key specified during a HTTP call.

```json
"Authorization": "Bearer <your-api-key>"
```

An example of calling the API using POSTMAN

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2Fgit-blob-a526cf08922393d5d05168caaafcba1771caa16a%2Fimage%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1)%20(1).png?alt=media" alt=""><figcaption></figcaption></figure>


---

# 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.flowiseai.com/configuration/authorization/chatflow-level.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.
