Primer
  • Factored Cognition Primer
  • Intro
    • Factored Cognition
    • Before We Start
  • Chapters
    • Hello World
    • Question Answering
      • Q&A without context
      • Q&A about short texts
    • Debate
      • Representing debates
      • From debates to prompts
      • The debate recipe
    • Long Texts
      • Loading paper text
      • Finding relevant paragraphs
      • Answering given paragraphs
    • Amplification
      • Asking subquestions
      • Answering subquestions
      • One-step amplification
      • Recursive amplification
    • Verifiers
      • Checking answers
      • Checking reasoning steps
    • Tool Use
      • Web search
      • Interpreters
    • Deduction
      • Chain of Thought
    • Action Selection
      • One-shot action selection
      • Iterative action selection
    • Amplification Revisited
  • Appendix
    • What’s next?
  • Links
    • We’re Hiring
    • Our Slack Community
    • ICE on Github
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  1. Intro

Before We Start

How to install and run the Interaction Composition Explorer

The recipes in this primer are implemented using the Interactive Composition Explorer (ICE). If you’d like to follow along with the implementation (strongly recommended), set it up first.

Requirements

ICE requires Python 3.9, 3.10, or 3.11. If you don't have a supported version of Python installed, we recommend using pyenv to install a supported Python version and manage multiple Python versions.

If you use Windows, you'll need to run ICE inside of WSL.

Run ICE

As part of general good Python practice, consider first creating and activating a virtual environment to avoid installing ICE 'globally'. For example:

python3.10 -m venv venv
source venv/bin/activate

Install ICE:

pip install ought-ice

The first time you run a recipe that uses recipe.agent(), you will be prompted for an OpenAI API key that will automatically be stored in ~/.ought-ice/.env.

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Last updated 2 years ago