Simple Python Server based on Langflow codebase.

Instructions on using Poetry

To use Poetry for managing dependencies and virtual environments, follow these steps:

1. Install Poetry by running the following command in your terminal:

curl -sSL https://install.python-poetry.org | python3 -

2. Navigate to your project directory and initialize Poetry by running:

poetry init

3. Follow the prompts to provide information about your project.

4. Add dependencies to your project by running:

poetry add package_name

5. Poetry will automatically create a virtual environment for your project and install the specified package.

6. To activate the virtual environment, run:

poetry shell

7. You can now run your Python server using Poetry.

poetry run dev

modules

API

• FastAPI - for api routes
• socket.io - Bidirectional and low-latency communication

Logging

• loguru

Task Queue

• Celery

Data validation - typing

• pydantic
• pydantic-settings - provides optional Pydantic features for loading a settings or config class from environment variables or secrets files.
• typer - Typer, build great CLIs. Easy to code. Based on Python type hints.

Multicore - Process-based parallelism

• multiprocessing

HTTP

• Gunicorn WSGI HTTP Server for unix

Testing

• pytest

Linting

• Ruff

AI

• Langchain

Docs

• docusarus - refer to this https://github.com/langflow-ai/langflow/blob/dev/docs/package.json
• sphinx - python documentation generator

cd docs
npx docusaurus start

Open http://localhost:3000 and follow the tutorial.

Notes

Look into poetry groups for managing dependencies over multiple environments