Hypo Project

This project aims to serve as a server that processes pipelines using Prefect, stores temporal memory to use for AI Agents and serves as a REST API to retrieve the results of the pipelines.

How to run the project

1. Init a virtual environment

python -m venv venv

2. Activate the virtual environment

.\venv\Scripts\activate

3. Install the dependencies with pip install -r requirements.txt

4. Run the project with prefect server start

5. Start a work pool

prefect work-pool start my-work-pool

How to add a new pipeline

1. Create a new folder in the src/pipelines folder with the name of the pipeline.
2. Create a new python file named run.py in the folder and add the code for the pipeline. It must contain at least a function decorated with @flow.
3. In the root/prefect.yaml file, add a new deployment for the pipeline.
4. Run the command prefect deploy to deploy the pipeline.