Fix broken links

Signed-off-by: Jo Stichbury <[email protected]>

vizro-ai/docs/index.md

@@ -18,7 +18,7 @@ Vizro-AI leverages the power of [Plotly](https://plotly.com/python/) to produce
     before using the `vizro-ai` package.
 
     Since users must connect to Large Language Models (LLMs) in order to use Vizro-AI,
-    please also ensure that you review our guides on the [usage of LLMs](pages/explanation/safety_in_vizro_ai.md)
+    please also ensure that you review our guides on the [usage of LLMs](pages/explanation/safety-in-vizro-ai.md)
     and the required [safeguarding for dynamic code evaluation](pages/explanation/safeguard.md).
 
 
@@ -36,7 +36,7 @@ Vizro-AI leverages the power of [Plotly](https://plotly.com/python/) to produce
   </div>
 </a>
 
-<a class="card-wrapper" href="pages/user_guides/install/">
+<a class="card-wrapper" href="pages/user-guides/install/">
   <div class="card">
     <div class="card-content">
       <h5>User Guides</h5>

vizro-ai/docs/pages/explanation/disclaimer.md

@@ -1,6 +1,6 @@
 # Disclaimer
 
-Users must select one of the [supported Large Language Models (LLMs)](../user_guides/model_config.md) in order to use the `vizro_ai` package,
+Users must select one of the [supported Large Language Models (LLMs)](../user-guides/model-config.md) in order to use the `vizro_ai` package,
 and are responsible for obtaining their own suitable API key for the relevant model.
 
 ## Third Party API

vizro-ai/docs/pages/tutorials/explore-vizro-ai.md

@@ -5,19 +5,19 @@ By the end of this tutorial, you will have gained an understanding of different
 
 ## Let's get started!
 ### 1. Install Vizro-AI and get ready to run your code
-Before proceeding, ensure the installation of the `vizro_ai` package by following the steps outlined in the [installation guide](../user_guides/install.md). Once installed, you can execute your code either by pasting it into a Jupyter notebook cell or running it from a Python script.
+Before proceeding, ensure the installation of the `vizro_ai` package by following the steps outlined in the [installation guide](../user-guides/install.md). Once installed, you can execute your code either by pasting it into a Jupyter notebook cell or running it from a Python script.
 
 
 ??? tip "Beginners/Code novices"
-    For those new to Python or virtual environments, a user-friendly alternative is available in the [installation guide](../user_guides/install.md), offering a graphical user interface without the need for terminal commands.
+    For those new to Python or virtual environments, a user-friendly alternative is available in the [installation guide](../user-guides/install.md), offering a graphical user interface without the need for terminal commands.
 
-A prerequisite for this tutorial is access to one of the supported large language models. Please refer to the [api setup](../user_guides/api_setup.md) for instructions on setting up the API.
+A prerequisite for this tutorial is access to one of the supported large language models. Please refer to the [api setup](../user-guides/api-setup.md) for instructions on setting up the API.
 
 Upon successful setup, your API key should be ready in the environment when you import `vizro_ai`.
 
 If you would like to customize the `.env` file location and name, you can set it manually.
 You can override the default import of the `.env` file by specifying the path and name of your custom `.env` file.
-Please refer to [API setup](../user_guides/api_setup.md) for instructions on customizing the `.env` file location and name.
+Please refer to [API setup](../user-guides/api-setup.md) for instructions on customizing the `.env` file location and name.
 
 ### 2. Create your visualization using different languages
 

vizro-ai/docs/pages/tutorials/quickstart.md

@@ -4,11 +4,11 @@ It is a step-by-step guide to help you experiment and create your initial Vizro
 
 ## Let's get started!
 ### 1. Install Vizro-AI and its dependencies
-If you haven't already installed `vizro_ai` package, follow the [installation guide](../user_guides/install.md)
+If you haven't already installed `vizro_ai` package, follow the [installation guide](../user-guides/install.md)
 to do so inside a virtual environment.
 
 ??? tip "Beginners/Code novices"
-    If you consider yourself a beginner to python and/or virtual environments, there is also a section in the [installation guide](../user_guides/install.md) that avoids any use of terminals and relies only upon a graphical user interface.
+    If you consider yourself a beginner to python and/or virtual environments, there is also a section in the [installation guide](../user-guides/install.md) that avoids any use of terminals and relies only upon a graphical user interface.
 
 ### 2. Set up jupyter notebook
 A good way to initially explore Vizro-AI is from a Jupyter notebook.
@@ -26,7 +26,7 @@ jupyter notebook
 This opens a browser tab, and you can navigate to your preferred folder for this new project. Create a new notebook Python 3 (ipykernel) notebook from the "New" dropdown. Make sure that you select your environment as kernel.
 
 ??? tip "Beginners/Code novices"
-    If you followed the beginners steps in the [installation guide](../user_guides/install.md), you should already be set, and you can continue below.
+    If you followed the beginners steps in the [installation guide](../user-guides/install.md), you should already be set, and you can continue below.
 
 Confirm that `vizro_ai` is installed by typing the following into a jupyter cell in your notebook and running it.
 
@@ -39,7 +39,7 @@ You should see a return output of the version.
 
 ### 3. Large Language Model (LLM) API KEY
 
-A prerequisite to use Vizro-AI is access to one of the supported LLMs. Refer to the [user guide](../user_guides/api_setup.md) on how to set up the API.
+A prerequisite to use Vizro-AI is access to one of the supported LLMs. Refer to the [user guide](../user-guides/api-setup.md) on how to set up the API.
 
 ### 4. Ask your first question using Vizro-AI
 
@@ -87,4 +87,4 @@ Let's create another example and read through the additional information.
 
 Now, you have created your first charts with Vizro-AI and are ready to explore the documentation further.
 
-A good place to start would be to go through the [model configuration](../user_guides/model_config.md) or different [run options](../user_guides/run_vizro_ai.md) including application integration.
+A good place to start would be to go through the [model configuration](../user-guides/model-config.md) or different [run options](../user-guides/run-vizro-ai.md) including application integration.

vizro-ai/docs/pages/user-guides/install.md

@@ -15,7 +15,7 @@ export OPENAI_API_KEY="..."
 ```
 
 
-More details can be found in the [environment setup guide](../user_guides/api_setup.md).
+More details can be found in the [environment setup guide](../user-guides/api-setup.md).
 
 ??? tip "Beginners/Code novices"
     If you are a beginner or new to coding and wish to avoid using the terminal, you can follow these steps:

vizro-ai/docs/pages/user-guides/run-vizro-ai.md

@@ -6,7 +6,7 @@ This guide offers insights into different options of running Vizro-AI, including
 To run Vizro-AI in jupyter, create a new cell and execute the code below to render the described visualization. You should see the chart as an output.
 
 ??? note "Note: API key"
-    Make sure you have followed the [environment setup guide](../user_guides/api_setup.md) and
+    Make sure you have followed the [environment setup guide](../user-guides/api-setup.md) and
     your api key is set up in a `.env` file in the same folder as your `ipynb` file.
 
 !!! example "Bar chart"
@@ -31,7 +31,7 @@ Please note that the chart's appearance may not precisely resemble the one displ
 You can utilize Vizro-AI in any standard development environment by creating a `.py` file and executing the following code. As a result, the rendered chart will display in a browser window.
 
 ??? note "Note: API key"
-    Make sure you have followed [environment setup guide](../user_guides/api_setup.md) and
+    Make sure you have followed [environment setup guide](../user-guides/api-setup.md) and
     your API key is set up in the environment where your `.py` script is running with command as below:
     ```
     export OPENAI_API_KEY="your api key"