Be consistent with usage of astra-rl

Author: duncaneddy

README.md

@@ -21,14 +21,14 @@
 
 # ASTRA-RL Toolbox
 
-ASTRA-RL ("ASTRAL") Python toolbox for training and evaluating language models and generative AI systems that
+ASTRA-RL is a python toolbox for training and evaluating language models and generative AI systems that
 use textual inputs. It provides a set of tools for training, evaluating, and analyzing
 language models, with a focus on applying reinforcement learning based refinement techniques
 to improve evaluator model performance.
 
 ## Installation
 
-To install the ASTRA toolbox, you can use pip. The package is available on PyPI, so you can install it directly from there.
+To install the ASTRA-RL toolbox, you can use pip. The package is available on PyPI, so you can install it directly from there.
 
 ```bash
 pip install astra-rl
@@ -37,7 +37,10 @@ pip install astra-rl
 You can then import the library in your Python code:
 
 ```python
-import astral
+import astra_rl
+
+# Or 
+import astra_rl as astral
 ```
 
 ## Development
@@ -52,7 +55,7 @@ To start, we _STRONGLY_ recommend using [uv](https://docs.astral.sh/uv/) to mana
 
    ```bash
    git clone git@github.com:sisl/astra-rl.git
-   cd astra
+   cd astra-rl
    ```
 
 1. Sync package dependencies:

docs/api/index.md

@@ -1,5 +1,5 @@
 # Library API
 
-This section provides detailed information about all the classes, functions, and modules available in the ASTRAL toolbox. Each entry includes a description of its purpose, parameters, and usage examples.
+This section provides detailed information about all the classes, functions, and modules available in the ASTRA-RL toolbox. Each entry includes a description of its purpose, parameters, and usage examples.
 
 This documentation is generated automatically from the codebase using docstrings and comments, ensuring that it stays up-to-date with the latest changes.

docs/index.md

@@ -1,6 +1,6 @@
-# Adaptive Stress Testing for Robust AI & Reinforcement Learning (ASTRAL)
+# Adaptive Stress Testing for Robust AI & Reinforcement Learning (ASTRA-RL)
 
-Welcome to the ASTRAL toolbox documentation! This documentation provides an overview of the ASTRAL toolbox, its features, and how to use it effectively.
+Welcome to the ASTRA-RL toolbox documentation! This documentation provides an overview of the ASTRA-RL toolbox, its features, and how to use it effectively.
 
 !!! warning
 

docs/tutorials/index.md

@@ -1,3 +1,3 @@
 # Tutorials
 
-This section provides step-by-step guides and examples to help you get started with the ASTRAL toolbox. Each tutorial covers a specific aspect of the toolbox, from basic usage to advanced features.
+This section provides step-by-step guides and examples to help you get started with the ASTRA-RL toolbox. Each tutorial covers a specific aspect of the toolbox, from basic usage to advanced features.

docs/tutorials/training_an_evaluator.md

@@ -1,3 +1,3 @@
 # Training an Evaluator
 
-This tutorial will guide you through the process of training a custom model evaluator using the ASTRAL toolbox. The evaluator is a model that can be used to assess the quality of other models' outputs.
+This tutorial will guide you through the process of training a custom model evaluator using the ASTRA-RL toolbox. The evaluator is a model that can be used to assess the quality of other models' outputs.

mkdocs.yaml

@@ -1,4 +1,4 @@
-site_name: ASTRAL Toolbox Documentation
+site_name: ASTRA-RL Toolbox Documentation
 site_author: Duncan Eddy
 site_description: Adaptive Stress Testing for Robust AI & Reinforcement Learning — a toolbox for testing and improving the robustness of AI systems.
 site_url: https://github.com/sisl/astra-rl

pyproject.toml

@@ -17,10 +17,10 @@ dependencies = [
 ]
 
 [project.scripts]
-astral = "astral.cli.main:main"
+astral = "astra_rl.cli.main:main"
 
 [tool.setuptools]
-py-modules = ['astral']
+py-modules = ['astra_rl']
 
 [tool.setuptools.packages.find]
 where = ["src"]

src/astral/__init__.py renamed to src/astra_rl/__init__.py

@@ -5,6 +5,6 @@
 @app.command(help="Evaluate a model using an evaluator model.")
 def evaluate():
     """
-    Evaluate a model using the Astral toolbox.
+    Evaluate a model using the ASTRA-RL toolbox.
     """
     typer.echo("Evaluating model...")