# Your Project Token

In this guide, you'll often see references to your **Project Token**—a key element for implementing advanced configurations. This token uniquely identifies your AI agents and is required for any API integration or script-based setup.

You can find your Project Token in the installation scripts available under the **Settings > Installation** tab in your workspace.

<figure><img src="/files/uxcPT8yZfeBF9x28Hxd2" alt=""><figcaption><p>Your project token</p></figcaption></figure>

{% hint style="info" %}
Throughout the documentation, we use the placeholders <kbd>`{{TOKEN}}`</kbd> or <kbd>`"project_token"`</kbd> to represent your actual token.
{% endhint %}

### Live vs Test Environments

In the Installation section, you’ll notice two different scripts:

* **Live Script**: This script connects to the **live environment**, which reflects the latest published version of your AI agents. It’s the version your end users will interact with.
* **Test Script**: This script connects to the **test environment**, which is automatically updated every time you make a change in the workspace. It represents the version of your AI agents visible in the preview. The test script is ideal for validating new features, testing workflows, or experimenting with configuration changes before pushing them live—without affecting your users' experience.

{% hint style="info" %}
Learn more about how live and test environments work in this article: [Configure Your AI Agents](/build-your-ai-agents/configure-your-ai-agents.md).
{% endhint %}


---

# 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://guide.indigo.ai/tech-deep-dives/your-project-token.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.