AutoGPT/autogpt_platform/backend/README.advanced.md

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# AutoGPT Agent Server Advanced set up
This guide walks you through a dockerized set up, with an external DB (postgres)
## Setup
We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
0. Install Poetry
```sh
pip install poetry
```
1. Configure Poetry to use .venv in your project directory
```sh
poetry config virtualenvs.in-project true
```
2. Enter the poetry shell
```sh
poetry shell
```
3. Install dependencies
```sh
poetry install
```
4. Copy .env.example to .env
```sh
cp .env.example .env
```
5. Generate the Prisma client
```sh
poetry run prisma generate
```
> In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
>
> ```sh
> pip uninstall prisma
> ```
>
> Then run the generation again. The path *should* look something like this:
> `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
6. Run the postgres database from the /rnd folder
```sh
cd autogpt_platform/
docker compose up -d
```
7. Run the migrations (from the backend folder)
```sh
cd ../backend
prisma migrate deploy
```
## Running The Server
### Starting the server directly
Run the following command:
```sh
poetry run app
```