app-generator-cli 1.0.5

A developer-friendly scaffolding CLI for FastAPI and LangChain/LangGraph projects

⚒ AppGenerator CLI

Scaffold production-ready Python projects in seconds — powered by uv.

CI runs uv run pytest tests/ -v --tb=short on Python 3.10, 3.11, and 3.12.

$ app-generator-cli create fastapi my_api
$ app-generator-cli create fastapi-with-frontend my_web_app --docker
$ app-generator-cli create ai my_ai_app --docker --postgres

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Installation

pip install app-generator-cli
# or, with uv (recommended):
uv tool install app-generator-cli

Verify:

app-generator-cli --version

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Commands

app-generator-cli create fastapi <name>

Scaffold a FastAPI backend.

Flag	Description
--docker	Add Dockerfile + docker-compose.yml
--postgres	Use PostgreSQL (asyncpg) instead of SQLite
--redis	Add Redis client (redis)
--output PATH	Create the project in a custom directory

Example:

app-generator-cli create fastapi my_api --docker --postgres --redis
cd my_api
cp .env.example .env
uv run uvicorn app.main:app --reload

app-generator-cli create fastapi-with-frontend <name>

Scaffold a FastAPI + Jinja2 frontend project.

Flag	Description
--docker	Add Dockerfile + docker-compose.yml
--postgres	Use PostgreSQL (asyncpg) instead of SQLite
--redis	Add Redis client (redis)
--output PATH	Create the project in a custom directory

Example:

app-generator-cli create fastapi-with-frontend my_web_app --docker
cd my_web_app
cp .env.example .env
uv run uvicorn app.main:app --reload
# open http://localhost:8000/ and http://localhost:8000/docs

app-generator-cli create ai <name>

Scaffold a LangChain / LangGraph AI application.

Flag	Description
--docker	Add Dockerfile + docker-compose.yml
--postgres	Add pgvector PostgreSQL support
--redis	Add Redis semantic cache
--output PATH	Create the project in a custom directory

Example:

app-generator-cli create ai my_assistant --docker
cd my_assistant
cp .env.example .env   # add your OPENAI_API_KEY
uv run python main.py

app-generator-cli create model --project-path <path>

Interactively create a model inside an existing generated project.

Prompt/Flag	Description
--project-path, -p	Existing project root to update
--template	Optional explicit template (fastapi, fastapi-with-frontend, ai)
Model name	Output file/class name (written to app/models/)
Field prompts	Add field name, type, required/nullable, and optional max_length

Examples:

# SQLModel model in an existing FastAPI project
app-generator-cli create model --project-path ./my_api

# Pydantic model in an existing AI project
app-generator-cli create model --project-path ./my_assistant --template ai

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Generated Project Structure

FastAPI

my_api/
├── app/
│   ├── main.py          # Application factory
│   ├── config.py        # Pydantic Settings
│   ├── dependencies.py  # FastAPI deps (DB session, etc.)
│   ├── api/v1/
│   │   └── health.py    # Health-check endpoint
│   ├── models/
│   │   └── base.py      # SQLModel base with timestamps
│   └── db/
│       └── session.py   # Async session factory
├── tests/
│   ├── conftest.py      # Async test client + DB fixtures
│   └── test_health.py
├── .env.example
├── .gitignore
├── pyproject.toml
├── Dockerfile           # (--docker)
└── docker-compose.yml   # (--docker)

AI (LangChain / LangGraph)

my_assistant/
├── main.py              # Interactive REPL
├── app/
│   ├── config.py        # Pydantic Settings
│   ├── agents/
│   │   └── assistant.py # LangGraph ReAct agent
│   ├── chains/
│   │   └── rag.py       # RAG chain example
│   └── tools/
│       ├── registry.py  # Tool registry
│       └── search.py    # Web search tool stub
├── tests/
│   └── test_agent.py
├── .env.example
├── .gitignore
├── pyproject.toml
├── Dockerfile           # (--docker)
└── docker-compose.yml   # (--docker)

FastAPI + Jinja Frontend

my_web_app/
├── app/
│   ├── main.py                    # App + homepage route
│   ├── templates/
│   │   ├── base.html              # Base layout
│   │   ├── index.html             # Homepage
│   │   └── partials/
│   │       ├── header.html        # Shared header
│   │       └── footer.html        # Shared footer
│   ├── api/v1/
│   │   └── health.py
│   └── ...                        # config/db/models/dependencies
├── tests/
│   ├── test_health.py
│   └── test_frontend.py
├── .env.example
├── pyproject.toml
├── Dockerfile                     # (--docker)
└── docker-compose.yml             # (--docker)

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Packaging & Publishing to PyPI

1. Build

# Install build tools
pip install build twine

# Build wheel + sdist
python -m build
# Outputs: dist/app-generator-cli-0.1.0-py3-none-any.whl
#          dist/app-generator-cli-0.1.0.tar.gz

2. Test on TestPyPI

twine upload --repository testpypi dist/*
pip install --index-url https://test.pypi.org/simple/ app-generator-cli

3. Publish to PyPI

twine upload dist/*

Or with uv:

uv build
uv publish

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Development Setup

git clone https://github.com/yourname/app-generator-cli
cd app-generator-cli

uv venv
uv sync --dev

# Run locally
uv run app-generator-cli --help

# Tests
uv run pytest

# Lint
uv run ruff check .
uv run ruff format .

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Requirements

• Python ≥ 3.10
• uv installed on the system (for generated project env management)

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License

MIT