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Prompt-injection, lovingly called Spy Logic, is a learning game that teaches users prompt injection attacks and defences, through a series of increasingly difficult challenges.
This wiki is intended to be very high level, and act more as a signposting system to specific parts of code. Read the code alongside the wiki to get the fullest understanding, or just read the docs to get a broad-strokes overview of how things work.
To get acquainted with the project, the best way is to run and play the game. Failing that you can have a read of intro to Spy Logic.
In these docs I will use the term LLM
to describe a generic Large Language Model, usually one created and hosted by OpenAI. In contrast, I will use bot
to describe ScottBrewBot, which is our fictional integrated chatbot. It describes the system as a whole, which includes an LLM at its core, but also includes the mechanisms we've placed around it (defences, error handling, etc).
handling levels
- What changes between them?
- Winning a level?
handling defences