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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
  1. Activate the virtual environment
.\venv\Scripts\activate

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

  2. Run the project with prefect server start

  3. 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.