Remove SDK folder: documentation is now managed in the SDK Python repo

Author: wartraxx51

docs/docs/guides/check.mdx

@@ -110,7 +110,7 @@ Then save the `TagsQuery` as a text file named `tags_check.gql`.
 
 ### 2. Create the Python check file
 
-The next step is to create the Check Python business logic. The check is a Python class that inherits from `InfrahubCheck` from the [Python SDK](../python-sdk). Create a file called `tags_check.py`:
+The next step is to create the Check Python business logic. The check is a Python class that inherits from `InfrahubCheck` from the [Python SDK]($(local_base_url_1)python-sdk). Create a file called `tags_check.py`:
 
 ```python
 import re

docs/docs/guides/generator.mdx

@@ -104,7 +104,7 @@ We provide `convert_query_response` option to be toggled to be able to access ob
 
 This allows you to manage the returned data with helper methods on the SDK objects such as `save`, `fetch`, etc. on the returned data rather than having to build a payload to send back to Infrahub to manage the objects.
 
-Read more on the [Infrahub Python SDK](../python-sdk).
+Read more on the [Infrahub Python SDK]($(local_base_url_1)python-sdk).
 :::
 
 <Tabs groupId="convertResponse">
@@ -291,7 +291,7 @@ widget_generator (widget_generator.py::Generator) Target: widgets
 
 :::warning
 
-When running a generator with `infrahubctl` the [SDK tracking](../python-sdk/topics/tracking) feature isn't used. The reason for this is that internally Infrahub uses the ID of the generator_definition to control the tracking, this isn't available from the outside. For this reason it is recommended to create test branches when developing generators and validating the results.
+When running a generator with `infrahubctl` the [SDK tracking]($(local_base_url_1)python-sdk/topics/tracking) feature isn't used. The reason for this is that internally Infrahub uses the ID of the generator_definition to control the tracking, this isn't available from the outside. For this reason it is recommended to create test branches when developing generators and validating the results.
 
 :::
 

docs/docs/guides/python-transform.mdx

@@ -138,7 +138,7 @@ Here the query will require an input parameter called `$name` what will refer to
 
 ## 2. Create the Python transform file
 
-The next step is to create the actual Python transform. The transform is a Python class that inherits from InfrahubTransform from the [Python SDK](../python-sdk). Create a file called `tags_transform.py`:
+The next step is to create the actual Python transform. The transform is a Python class that inherits from InfrahubTransform from the [Python SDK]($(local_base_url_1)python-sdk). Create a file called `tags_transform.py`:
 
 ```python
 from infrahub_sdk.transforms import InfrahubTransform

docs/docs/guides/repository.mdx

@@ -155,7 +155,7 @@ The repository should be visible under [Unified Storage / Repository](http://loc
 
 ### Via the Infrahub SDK
 
-1. Install and setup the [Infrahub SDK](../python-sdk)
+1. Install and setup the [Infrahub SDK]($(local_base_url_1)python-sdk)
 2. If needed, i.e., your repository is private, create a Credential object to hold your username / password. We highly recommend to provide credentials for Repository to allow branch creation from Infrahub.
 
 ```python

docs/docs/infrahubctl.mdx

@@ -18,7 +18,7 @@ It's meant to run on any laptop or server and it communicates with a remote Infr
 
 ## Installation
 
-The `infrahubctl` command line utility is installed as a part of the [Infrahub SDK for Python](./python-sdk/guides/installation#ctl).
+The `infrahubctl` command line utility is installed as a part of the [Infrahub SDK for Python]($(local_base_url_1)python-sdk/guides/installation#ctl).
 
 ## Configuration
 

docs/docs/overview/data.mdx

@@ -8,7 +8,7 @@ When a schema has been loaded in to Infrahub, data can be populated or synced th
 
 - Via the WebUI: users can add, modify, and delete objects
 - Via [infrahub-sync](https://docs.infrahub.app/sync)
-- Via the [Infrahub SDK](../python-sdk/), which simplifies working with the GraphQL API:
+- Via the [Infrahub SDK]($(local_base_url_1)python-sdk/), which simplifies working with the GraphQL API:
   - One-time imports can done similar to this [python example](https://github.com/opsmill/infrahub-demo-dc-fabric/blob/main/generators/create_basic.py)
   - Integration with other systems
 - Via the GraphQL or REST API directly

docs/docs/overview/interfaces.mdx

@@ -16,7 +16,7 @@ Managing infrastructure at scale often means many people, teams, workflows and o
 
 ## GraphQL API
 
-GraphQL is the primary API to interact with data, and allows access to everything defined by the schema. The [Python SDK](../python-sdk/) is built on top of the GraphQL API.
+GraphQL is the primary API to interact with data, and allows access to everything defined by the schema. The [Python SDK]($(local_base_url_1)python-sdk/) is built on top of the GraphQL API.
 
 - By default, exposed on TCP port `8000` at the endpoint: `http://<API_SERVER_IP>:8000/graphql`
 - The Frontend utilizes the GraphQL API for most tasks
@@ -46,7 +46,7 @@ More information can be found in the [infrahubctl](../infrahubctl/) documentatio
 
 The Infrahub Python SDK greatly simplifies how you can interact with Infrahub programmatically.
 
-More information can be found in the [Python SDK](../python-sdk/) documentation section.
+More information can be found in the [Python SDK]($(local_base_url_1)python-sdk/) documentation section.
 
 ## Git