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# aichat-dev-docker
This is a `sigoden/aichat` configuration to be used with docker.
## Installation
1. Install `docker`, `docker-compose`, `docker-buildx` in your environment
2. Clone this repository and all of its submodules:
```bash
git clone --recurse-submodules https://git.kug.is/aichat-dev-docker.git
```
3. Build `llm-functions-docker`. Refer to the [llm-functions-docker/README.md](llm-functions-docker/README.md) inside the project for detailed guide.
4. `cd` into this project directory:
```bash
cd aichat-dev-docker
```
5. Adjust `config/config.yml` and `config/roles/tools.md` to your preferences or keep the defaults. Aichat is configured to use Deepinfra as model host, and role `tools` for tool usage.
6. Copy `docker-config-example.yml` to `docker-compose.yml` and adjust it to your preferences or keep the defaults. It will use directories `work`, `projects` and `config` relative to the project directory. To integrate it into a host installation, you might want to mount `projects` to your local projects folder, and `config` to `~/.config/aichat` to use the same config on host and docker.
7. Collect required API keys and place them in `.env` files.
`config/.env` example:
```conf
DEEPINFRA_API_BASE=https://api.deepinfra.com/v1/openai
DEEPINFRA_API_KEY=[...]
```
`DEEPINFRA` being the client name as in `config/config.yml`.
`llm-functions-docker/.env` example:
```conf
TAVILY_API_KEY=[...]
```
Optional. Required, if you want to use `web_search` tool using Tavily.
8. Build the docker image:
```bash
docker compose build
```
## Usage
1. Start the docker container:
```bash
docker compose up -d
```
2. Run aichat inside the docker container.
If you want to use tools, you have to enable the role explicitly:
```bash
docker exec -it aichat aichat --role tools
```
If you dont want to use tools at all, you can omit this role (or define a different one):
```bash
docker exec -it aichat aichat
```
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