Auto-GPT/docs/content/AutoGPT/setup/docker.md

Run AutoGPT in Docker

!!! important "Docker Setup Issue" We are addressing a known issue with the Docker setup related to Poetry.

[**We have an open PR if you'd like to take a look**](https://github.com/python-poetry/poetry/issues/8548)

Please keep this in mind. We apologize for any inconvenience, and thank you for your patience.

1. Make sure you have Docker installed, see requirements

2. Create a project directory for AutoGPT

   mkdir AutoGPT
   cd AutoGPT
   

3. In the project directory, create a file called docker-compose.yml with the following contents:

   version: "3.9"
   services:
     auto-gpt:
       image: significantgravitas/auto-gpt
       env_file:
         - .env
       profiles: ["exclude-from-up"]
       volumes:
         - ./auto_gpt_workspace:/app/auto_gpt_workspace
         - ./data:/app/data
         ## allow auto-gpt to write logs to disk
         - ./logs:/app/logs
         ## uncomment following lines if you want to make use of these files
         ## you must have them existing in the same folder as this docker-compose.yml
         #- type: bind
         #  source: ./azure.yaml
         #  target: /app/azure.yaml
         #- type: bind
         #  source: ./ai_settings.yaml
         #  target: /app/ai_settings.yaml
   

4. Create the necessary configuration files. If needed, you can find templates in the repository.

5. Pull the latest image from Docker Hub

   docker pull significantgravitas/auto-gpt
   

!!! note "Docker only supports headless browsing" AutoGPT uses a browser in headless mode by default: HEADLESS_BROWSER=True. Please do not change this setting in combination with Docker, or AutoGPT will crash.

Configuration

1. Find the file named .env.template in the main Auto-GPT folder. This file may be hidden by default in some operating systems due to the dot prefix. To reveal hidden files, follow the instructions for your specific operating system: Windows, macOS.

2. Create a copy of .env.template and call it .env; if you're already in a command prompt/terminal window: cp .env.template .env.

3. Open the .env file in a text editor.

4. Find the line that says OPENAI_API_KEY=.

5. After the =, enter your unique OpenAI API Key without any quotes or spaces.

6. Enter any other API keys or tokens for services you would like to use.

   !!! note To activate and adjust a setting, remove the # prefix.

7. Save and close the .env file.

!!! info "Using a GPT Azure-instance" If you want to use GPT on an Azure instance, set USE_AZURE to True and make an Azure configuration file:

- 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:
    - `fast_llm_deployment_id`: your gpt-3.5-turbo or gpt-4 deployment ID
    - `smart_llm_deployment_id`: your gpt-4 deployment ID
    - `embedding_model_deployment_id`: your text-embedding-ada-002 v2 deployment ID

Example:

```yaml
# Please specify all of these values as double-quoted strings
# Replace string in angled brackets (<>) to your own deployment Name
azure_model_map:
    fast_llm_deployment_id: "<auto-gpt-deployment>"
    ...
```

Details can be found in the [openai-python docs], and in the [Azure OpenAI docs] for the embedding model.
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).

Running AutoGPT In Docker

Easiest is to use docker compose.

Important: Docker Compose version 1.29.0 or later is required to use version 3.9 of the Compose file format. You can check the version of Docker Compose installed on your system by running the following command:

docker compose version

This will display the version of Docker Compose that is currently installed on your system.

If you need to upgrade Docker Compose to a newer version, you can follow the installation instructions in the Docker documentation: https://docs.docker.com/compose/install/

Once you have a recent version of Docker Compose, run the commands below in your AutoGPT folder.

1. Build the image. If you have pulled the image from Docker Hub, skip this step (NOTE: You will need to do this if you are modifying requirements.txt to add/remove dependencies like Python libs/frameworks)

   docker compose build auto-gpt
   

2. Run AutoGPT

   docker compose run --rm auto-gpt
   

   By default, this will also start and attach a Redis memory backend. If you do not want this, comment or remove the depends: - redis and redis: sections from docker-compose.yml.

   For related settings, see Memory > Redis setup

You can pass extra arguments, e.g. running with --gpt3only and --continuous:

docker compose run --rm auto-gpt --gpt3only --continuous

If you dare, you can also build and run it with "vanilla" docker commands:

docker build -t auto-gpt .
docker run -it --env-file=.env -v $PWD:/app auto-gpt
docker run -it --env-file=.env -v $PWD:/app --rm auto-gpt --gpt3only --continuous