Prerequisites

Before you begin building with GL Connectors, ensure you have the following handy.

1

Python 3.11+

Make sure you have Python version 3.11 or later installed. We recommend installing version 3.12 at the time of writing. Use this to verify you have the right version.

python --version

# Python 3.12.3

2

UV Package Manager

While PIP works as a global installer, it's harder to manage the versions, lock versions, etc. We recommend using UV as the package manager. All the guides will utilize UV.

uv --version

# uv 0.7.6

3

GL Connectors Credentials

For users with @gdplabs.id email, you can retrieve the credentials from Connectors Console for ease-of-access.

If you're using GL Connectors (be it the API, MCP Server, or other features provided by GL Connectors), you will need to obtain the Credentials first. Afterwards, you can use it as environment variables. In general, you will need the following:

• Client Key (will serve as the API Key for your tenant/organization)

• User Identifier (will serve as the login username)

• User Secret (will serve as the login password)

• User Token (used after authenticating with the aforementioned identifier and secret)

4

GCloud CLI and Gen AI Google Cloud Repository

Some of our components such as Skills and Tools require access to our internal artifact registry.

1. GCloud CLI: Please refer to the installation guide for gcloud CLI. After installing, please run gcloud auth login to authorize gcloud to access the Cloud Platform with Google user credentials.

2. GenAI Google Cloud Repository: Request access to Gen AI Google Cloud repositories by submitting this form (alternatively, from your manager or team lead)