mirror of
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218 lines
8.1 KiB
Markdown
218 lines
8.1 KiB
Markdown
# Setting up Auto-GPT
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## 📋 Requirements
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Choose an environment to run Auto-GPT in (pick one):
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- [Docker](https://docs.docker.com/get-docker/) (*recommended*)
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- Python 3.10 or later (instructions: [for Windows](https://www.tutorialspoint.com/how-to-install-python-in-windows))
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- [VSCode + devcontainer](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
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## 🗝️ Getting an API key
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Get your OpenAI API key from: [https://platform.openai.com/account/api-keys](https://platform.openai.com/account/api-keys).
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!!! attention
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To use the OpenAI API with Auto-GPT, we strongly recommend **setting up billing**
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(AKA paid account). Free accounts are [limited][openai/api limits] to 3 API calls per
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minute, which can cause the application to crash.
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You can set up a paid account at [Manage account > Billing > Overview](https://platform.openai.com/account/billing/overview).
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[openai/api limits]: https://platform.openai.com/docs/guides/rate-limits/overview#:~:text=Free%20trial%20users,RPM%0A40%2C000%20TPM
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!!! important
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It's highly recommended that you keep track of your API costs on [the Usage page](https://platform.openai.com/account/usage).
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You can also set limits on how much you spend on [the Usage limits page](https://platform.openai.com/account/billing/limits).
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## Setting up Auto-GPT
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### Set up with Docker
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1. Make sure you have Docker installed, see [requirements](#requirements)
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2. Pull the latest image from [Docker Hub]
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:::shell
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docker pull significantgravitas/auto-gpt
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3. Create a folder for Auto-GPT
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4. In the folder, create a file called `docker-compose.yml` with the following contents:
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:::yaml
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version: "3.9"
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services:
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auto-gpt:
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image: significantgravitas/auto-gpt
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depends_on:
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- redis
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env_file:
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- .env
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environment:
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MEMORY_BACKEND: ${MEMORY_BACKEND:-redis}
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REDIS_HOST: ${REDIS_HOST:-redis}
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profiles: ["exclude-from-up"]
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volumes:
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- ./auto_gpt_workspace:/app/autogpt/auto_gpt_workspace
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- ./data:/app/data
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## allow auto-gpt to write logs to disk
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- ./logs:/app/logs
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## uncomment following lines if you have / want to make use of these files
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#- ./azure.yaml:/app/azure.yaml
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#- ./ai_settings.yaml:/app/ai_settings.yaml
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redis:
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image: "redis/redis-stack-server:latest"
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5. Create the necessary [configuration](#configuration) files. If needed, you can find
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templates in the [repository].
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6. Continue to [Run with Docker](#run-with-docker)
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!!! note "Docker only supports headless browsing"
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Auto-GPT uses a browser in headless mode by default: `HEADLESS_BROWSER=True`.
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Please do not change this setting in combination with Docker, or Auto-GPT will crash.
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[Docker Hub]: https://hub.docker.com/r/significantgravitas/auto-gpt
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[repository]: https://github.com/Significant-Gravitas/Auto-GPT
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### Set up with Git
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!!! important
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Make sure you have [Git](https://git-scm.com/downloads) installed for your OS.
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!!! info "Executing commands"
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To execute the given commands, open a CMD, Bash, or Powershell window.
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On Windows: press ++win+x++ and pick *Terminal*, or ++win+r++ and enter `cmd`
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1. Clone the repository
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:::shell
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git clone -b stable https://github.com/Significant-Gravitas/Auto-GPT.git
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2. Navigate to the directory where you downloaded the repository
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:::shell
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cd Auto-GPT
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### Set up without Git/Docker
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!!! warning
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We recommend to use Git or Docker, to make updating easier.
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1. Download `Source code (zip)` from the [latest stable release](https://github.com/Significant-Gravitas/Auto-GPT/releases/latest)
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2. Extract the zip-file into a folder
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### Configuration
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1. Find the file named `.env.template` in the main `Auto-GPT` folder. This file may
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be hidden by default in some operating systems due to the dot prefix. To reveal
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hidden files, follow the instructions for your specific operating system:
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[Windows][show hidden files/Windows], [macOS][show hidden files/macOS].
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2. Create a copy of `.env.template` and call it `.env`;
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if you're already in a command prompt/terminal window: `cp .env.template .env`.
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3. Open the `.env` file in a text editor.
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4. Find the line that says `OPENAI_API_KEY=`.
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5. After the `=`, enter your unique OpenAI API Key *without any quotes or spaces*.
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6. Enter any other API keys or tokens for services you would like to use.
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!!! note
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To activate and adjust a setting, remove the `# ` prefix.
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7. Save and close the `.env` file.
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!!! info "Using a GPT Azure-instance"
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If you want to use GPT on an Azure instance, set `USE_AZURE` to `True` and
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make an Azure configuration file:
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- Rename `azure.yaml.template` to `azure.yaml` and provide the relevant `azure_api_base`, `azure_api_version` and all the deployment IDs for the relevant models in the `azure_model_map` section:
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- `fast_llm_model_deployment_id`: your gpt-3.5-turbo or gpt-4 deployment ID
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- `smart_llm_model_deployment_id`: your gpt-4 deployment ID
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- `embedding_model_deployment_id`: your text-embedding-ada-002 v2 deployment ID
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Example:
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:::yaml
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# Please specify all of these values as double-quoted strings
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# Replace string in angled brackets (<>) to your own ID
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azure_model_map:
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fast_llm_model_deployment_id: "<my-fast-llm-deployment-id>"
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...
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Details can be found in the [openai-python docs], and in the [Azure OpenAI docs] for the embedding model.
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If you're on Windows you may need to install an [MSVC library](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist?view=msvc-170).
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[show hidden files/Windows]: https://support.microsoft.com/en-us/windows/view-hidden-files-and-folders-in-windows-97fbc472-c603-9d90-91d0-1166d1d9f4b5
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[show hidden files/macOS]: https://www.pcmag.com/how-to/how-to-access-your-macs-hidden-files
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[openai-python docs]: https://github.com/openai/openai-python#microsoft-azure-endpoints
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[Azure OpenAI docs]: https://learn.microsoft.com/en-us/azure/cognitive-services/openai/tutorials/embeddings?tabs=command-line
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## Running Auto-GPT
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### Run with Docker
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Easiest is to use `docker-compose`. Run the commands below in your Auto-GPT folder.
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1. Build the image. If you have pulled the image from Docker Hub, skip this step.
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:::shell
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docker-compose build auto-gpt
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2. Run Auto-GPT
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:::shell
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docker-compose run --rm auto-gpt
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By default, this will also start and attach a Redis memory backend. If you do not
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want this, comment or remove the `depends: - redis` and `redis:` sections from
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`docker-compose.yml`.
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For related settings, see [Memory > Redis setup](./configuration/memory.md#redis-setup).
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You can pass extra arguments, e.g. running with `--gpt3only` and `--continuous`:
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``` shell
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docker-compose run --rm auto-gpt --gpt3only --continuous
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```
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If you dare, you can also build and run it with "vanilla" docker commands:
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``` shell
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docker build -t auto-gpt .
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docker run -it --env-file=.env -v $PWD:/app auto-gpt
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docker run -it --env-file=.env -v $PWD:/app --rm auto-gpt --gpt3only --continuous
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```
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[docker-compose file]: https://github.com/Significant-Gravitas/Auto-GPT/blob/stable/docker-compose.yml
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### Run with Dev Container
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1. Install the [Remote - Containers](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) extension in VS Code.
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2. Open command palette with ++f1++ and type `Dev Containers: Open Folder in Container`.
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3. Run `./run.sh`.
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### Run without Docker
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Simply run the startup script in your terminal. This will install any necessary Python
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packages and launch Auto-GPT.
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- On Linux/MacOS:
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:::shell
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./run.sh
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- On Windows:
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:::shell
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.\run.bat
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If this gives errors, make sure you have a compatible Python version installed. See also
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the [requirements](./installation.md#requirements).
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