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  1. AutoGPT was originally built on top of OpenAI's GPT-4, but now you can get similar and interesting results using other models/providers too. If you don't know which to choose, you can safely go with OpenAI*.

    • Getting Started

      Prerequisites¶. To setup the server, you need to have the...

    • Usage

      For Windows users. On Windows, use .\autogpt.bat instead of...

  2. Setting up Auto-GPT. 📋 Requirements. Choose an environment to run Auto-GPT in (pick one): Docker (opens in a new tab) (recommended) Python 3.10 or later (instructions: for Windows (opens in a new tab) ) VSCode + devcontainer (opens in a new tab) 🗝️ Getting an API key. Get your OpenAI API key from: https://platform.openai.com/account/api-keys.

  3. Prerequisites¶. To setup the server, you need to have the following installed: Node.js; Docker; Git; Checking if you have Node.js & NPM installed¶. We use Node.js to run our frontend application.

  4. Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set.

  5. For Windows users. On Windows, use .\autogpt.bat instead of ./autogpt.sh. Everything else (subcommands, arguments) should work the same. Usage with Docker. For use with Docker, replace the script in the examples with docker compose run --rm auto-gpt: docker compose run --rm auto-gpt --ai-settings <filename> docker compose run --rm auto-gpt serve.

  6. What is AutoGPT? An Autonomous GPT-4 Experiment. Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set.

  7. Moved auto-gpt-plugin-template to regular dependencies to fix missing module error. Chores & Refactoring 🧹. Updated agbenchmark and autogpt-forge dependencies across the project. Upgraded OpenAI library to v1 and refactored code to accommodate API changes. Improved logging by capturing errors raised during action execution.

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