Fix cookiecutter template

.gitignore

@@ -134,3 +134,6 @@ dev.sh
 .yarn
 
 .conda/
+
+# reserved for testing cookiecutter
+packages/jupyter-ai-test

docs/source/developers/index.md

@@ -17,6 +17,40 @@ For more details about using `langchain.pydantic_v1` in an environment with
 Pydantic v2 installed, see the
 [LangChain documentation on Pydantic compatibility](https://python.langchain.com/docs/guides/pydantic_compatibility).
 
+## Jupyter AI module cookiecutter
+
+We offer a [cookiecutter](https://github.com/cookiecutter/cookiecutter) template
+that can be used to generate a pre-configured Jupyter AI module. This is a
+Python package that exposes a template model provider and slash command for
+integration with Jupyter AI. Developers can then extend the generated AI module
+however they wish.
+
+To generate a new AI module using the cookiecutter, run these commands from the
+repository root:
+
+```
+pip install cookiecutter
+cd packages/
+cookiecutter jupyter-ai-module-cookiecutter
+```
+
+The last command will open a wizard that allows you to set the package name and
+a few other metadata fields. By default, the package will have the name `jupyter-ai-test`.
+
+To install your new AI module locally and use the generated template provider
+and slash command:
+
+```
+cd jupyter-ai-test/
+pip install -e .
+```
+
+You will then be able to use the test provider and slash command after
+restarting JupyterLab.
+
+The remainder of this documentation page elaborates on how to define a custom
+model provider and slash command.
+
 ## Custom model providers
 
 You can define new providers using the LangChain framework API. Custom providers

packages/jupyter-ai-module-cookiecutter/README.md

@@ -1,8 +1,14 @@
-# Jupyter AI Module Cookiecutter
+# Jupyter AI module cookiecutter
 
-A [cookiecutter](https://github.com/audreyr/cookiecutter) template for creating
-a AI module. The AI module constructed from the template serves as a very simple
-example that can be extended however you wish.
+A [cookiecutter](https://github.com/cookiecutter/cookiecutter) template for creating
+a Jupyter AI module. A Jupyter AI module is a Python package that registers
+additional model providers (containing language and embedding models) and slash
+commands for Jupyter AI.
+
+This cookiecutter generates a simple AI module that provides a test model
+provider and slash command implementation that can be used in Jupyter AI once
+installed. Developers should use this as a template to implement additional
+functionality on top of Jupyter AI.
 
 ## Usage
 
@@ -19,20 +25,13 @@ cd packages/
 cookiecutter jupyter-ai-module-cookiecutter
 ```
 
-Follow the prompts to create a new AI module under `packages/`. Your
-labextension name should use hyphens, whereas your Python name should use
-underscores.
-
-# Usage (monorepo integration)
+Follow the prompts to create a new AI module under `packages/`.
 
-To integrate the new AI module into this monorepo, execute this command
-manually from the AI module root:
+To install the new AI module locally:
 
 ```
-rm -r .github/ binder/ CHANGELOG.md RELEASE.md
+cd "<jai-module-root-dir>"
+pip install -e "."
 ```
 
-Rename the JS package to be scoped under `@jupyter-ai/`.
-
-Finally, add the Python package to the `options.python_packages` field in
-`.jupyter-releaser.toml`.
+See the `README.md` under the root directory for more information.

packages/jupyter-ai-module-cookiecutter/cookiecutter.json

@@ -2,11 +2,8 @@
   "author_name": "Project Jupyter",
   "author_email": "jupyter@googlegroups.com",
   "version": "0.1.0",
-  "labextension_name": "myextension",
-  "python_name": "{{ cookiecutter.labextension_name | replace('-', '_') }}",
-  "project_short_description": "A JupyterLab extension.",
-  "has_settings": "n",
-  "has_binder": "n",
-  "test": "y",
+  "python_name": "jupyter_ai_test",
+  "root_dir_name": "{{ cookiecutter.python_name | replace('_', '-') }}",
+  "project_short_description": "Jupyter AI",
   "repository": "https://github.com/jupyterlab/jupyter-ai"
 }