Bootstrap Academy AI Microservice

The official AI microservice of Bootstrap Academy.

This microservice provides a foundational API endpoint for AI integrations, with an emphasis on extendibility. Currently, it uses OpenAI's GPT-4, but it can easily accommodate other models and providers.

If you would like to submit a bug report or feature request, or are looking for general information about the project or the publicly available instances, please refer to the Bootstrap-Academy repository.

Endpoints

POST /api/ai

Accessible only to administrators with a valid API key. This endpoint takes in prompts and returns an AI-generated response.

Request Example

{
  "system_prompt": "You are an assistant.",
  "user_prompt": "What's the weather today?"
}

Response Example

{
  "output": "I am an AI model and do not have live weather data."
}

Development Setup

1. Install Python 3.10, Poetry and poethepoet.
2. Clone this repository and cd into it.
3. Run poe setup to install the dependencies.
4. Run poe api to start the microservice. You can find the automatically generated swagger documentation on http://localhost:8001/docs.

Poetry Scripts

poe setup           # setup dependencies, .env file and pre-commit hook
poe api             # start api locally
poe test            # run unit tests
poe pre-commit      # run pre-commit checks
  poe lint          # run linter
    poe format      # run auto formatter
      poe isort     # sort imports
      poe black     # reformat code
    poe ruff        # check code style
    poe mypy        # check typing
    poe flake8      # check code style
  poe coverage      # run unit tests with coverage
poe alembic         # use alembic to manage database migrations
poe migrate         # run database migrations
poe env             # show settings from .env file
poe jwt             # generate a jwt with the given payload and ttl in seconds
poe check           # check course definitions
poe sync_skills     # push local skills to backend (deprecated)

PyCharm configuration

Configure the Python interpreter:

• Open PyCharm and go to Settings ➔ Project ➔ Python Interpreter
• Open the menu Python Interpreter and click on Show All...
• Click on the plus symbol
• Click on Poetry Environment
• Select Existing environment (setup the environment first by running poe setup)
• Confirm with OK

Setup the run configuration:

• Click on Add Configuration... ➔ Add new... ➔ Python
• Change target from Script path to Module name and choose the api module
• Change the working directory to root path ➔ Edit Configurations ➔ Working directory
• In the EnvFile tab add your .env file
• Confirm with OK