# lmcli - Large Language Model CLI

`lmcli` is a versatile command-line interface for interacting with LLMs and LMMs.

## Features

- Multiple model backends (Ollama, OpenAI, Anthropic, Google)
- Customizable agents with tool calling
- Persistent conversation management
- Interactive terminal interface for seamless chat experiences
- Syntax highlighting!

## Screenshots

[TODO: Add screenshots of the TUI in action, showing different views and features]

## Installation

To install `lmcli`, make sure you have Go installed on your system, then run:

```sh
go install git.mlow.ca/mlow/lmcli@latest
```

## Configuration

`lmcli` uses a YAML configuration file located at `~/.config/lmcli/config.yaml`. Here's a sample configuration:

```yaml
defaults:
  model: claude-3-5-sonnet-20240620
  maxTokens: 3072
  temperature: 0.2
conversations:
  titleGenerationModel: claude-3-haiku-20240307
chroma:
  style: onedark
  formatter: terminal16m
agents:
  - name: code-helper
    tools:
      - dir_tree
      - read_file
      #- write_file
    systemPrompt: |
      You are an experienced software engineer...
  # ...
providers:
  - kind: ollama
    models:
      - phi3:instruct
      - llama3:8b
  - kind: anthropic
    apiKey: your-api-key-here
    models:
      - claude-3-5-sonnet-20240620
      - claude-3-opus-20240229
      - claude-3-haiku-20240307
  - kind: openai
    apiKey: your-api-key-here
    models:
      - gpt-4o
      - gpt-4-turbo
  - name: openrouter
    kind: openai
    apiKey: your-api-key-here
    baseUrl: https://openrouter.ai/api/
    models:
      - qwen/qwen-2-72b-instruct
  # ...
```

Customize this file to add your own providers, agents, and models.

## Usage

Here's the default help output for `lmcli`:

```console
$ lmcli help
lmcli - Large Language Model CLI

Usage:
  lmcli <command> [flags]
  lmcli [command]

Available Commands:
  chat        Open the chat interface
  clone       Clone conversations
  completion  Generate the autocompletion script for the specified shell
  continue    Continue a conversation from the last message
  edit        Edit the last user reply in a conversation
  help        Help about any command
  list        List conversations
  new         Start a new conversation
  prompt      Do a one-shot prompt
  rename      Rename a conversation
  reply       Reply to a conversation
  retry       Retry the last user reply in a conversation
  rm          Remove conversations
  view        View messages in a conversation

Flags:
  -h, --help   help for lmcli

Use "lmcli [command] --help" for more information about a command.
```

### Examples

Start a new chat with the `code-helper` agent:

```console
$ lmcli chat --agent code-helper
```

Start a new conversation, imperative style (no tui):

```console
$ lmcli new "Help me plan meals for the next week"
```

Send a one-shot prompt (no persistence):

```console
$ lmcli prompt "What is the answer to life, the universe, and everything?"
```

## Agents

Agents in `lmcli` are configurations that combine a system prompt with a set of available tools. You can define agents in the `config.yaml` file and switch between them using the `--agent` or `-a` flag.

Example:
```sh
lmcli chat -a financier
```

## Tools

`lmcli` supports tool calling. The following built-in tools are currently available:

- `dir_tree`: Display a directory structure
- `read_file`: Read the contents of a file
- `write_file`: Write content to a file
- `file_insert_lines`: Insert lines at a specific position in a file
- `file_replace_lines`: Replace a range of lines in a file

Obviously, some of these tools carry significant risk. Use wisely :)

More tool features are planned, including the to define arbitrary tools which call out to external scripts, tools to spawn sub-agents, perform web searches, etc.

## Contributing

Contributions to `lmcli` are welcome! Feel free to open issues or submit pull requests on the project repository.

For a full list of planned features and improvements, check out the [TODO.md](TODO.md) file.

## License

MIT

## Acknowledgements

`lmcli` is just a hobby project. Special thanks to the Go community and the creators of the libraries used in this project.