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README.md
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README.md
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# lmcli
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# lmcli - Large Language Model CLI
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`lmcli` is a (Large) Language Model CLI.
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`lmcli` is a versatile command-line interface for interacting with LLMs and LMMs.
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Current features:
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- Perform one-shot prompts with `lmcli prompt <message>`
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- Manage persistent conversations with the `new`, `reply`, `view`, `rm`,
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`edit`, `retry`, `continue` sub-commands.
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- Syntax highlighted output
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- Tool calling, see the [Tools](#tools) section.
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## Features
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Maybe features:
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- Chat-like interface (`lmcli chat`) for rapid back-and-forth conversations
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- Support for additional models/APIs besides just OpenAI
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- Multiple model backends (Ollama, OpenAI, Anthropic, Google)
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- Customizable agents with tool calling
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- Persistent conversation management
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- Message branching (edit and re-prompt to your heart's desire)
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- Interactive terminal interface for seamless chat experiences
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- Syntax highlighting!
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## Screenshots
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[TODO: Add screenshots of the TUI in action, showing different views and features]
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## Installation
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To install `lmcli`, make sure you have Go installed on your system, then run:
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```sh
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go install git.mlow.ca/mlow/lmcli@latest
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```
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## Configuration
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`lmcli` uses a YAML configuration file located at `~/.config/lmcli/config.yaml`. Here's a sample configuration:
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```yaml
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defaults:
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model: claude-3-5-sonnet-20240620
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maxTokens: 3072
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temperature: 0.2
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conversations:
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titleGenerationModel: claude-3-haiku-20240307
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chroma:
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style: onedark
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formatter: terminal16m
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agents:
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- name: coder
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tools:
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- dir_tree
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- read_file
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#- write_file
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systemPrompt: |
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You are an experienced software engineer...
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# ...
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providers:
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- kind: ollama
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models:
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- phi3:instruct
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- llama3:8b
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- kind: anthropic
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apiKey: your-api-key-here
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models:
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- claude-3-5-sonnet-20240620
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- claude-3-opus-20240229
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- claude-3-haiku-20240307
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- kind: openai
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apiKey: your-api-key-here
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models:
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- gpt-4o
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- gpt-4-turbo
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- name: openrouter
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kind: openai
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apiKey: your-api-key-here
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baseUrl: https://openrouter.ai/api/
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models:
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- qwen/qwen-2-72b-instruct
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# ...
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```
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Customize this file to add your own providers, agents, and models.
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### Syntax highlighting
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Syntax highlighting is performed by [Chroma](https://github.com/alecthomas/chroma).
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Refer to [`Chroma/styles`](https://github.com/alecthomas/chroma/tree/master/styles) for available styles (TODO: add support for custom Chroma styles).
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Available formatters:
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- `terminal` - 8 colors
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- `terminal16` - 16 colors
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- `terminal256` - 256 colors
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- `terminal16m` - true color (default)
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## Agents
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Agents in `lmcli` combine a system prompt with a set of available tools. Agents are defined in`config.yaml` and you use them with the `-a`/`--agent` flag.
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Agent functionality is expected to be expanded on, bringing them to close parity with something like OpenAI's "Assistants" feature.
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## Tools
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Tools must be explicitly enabled by adding the tool's name to the
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`openai.enabledTools` array in `config.yaml`.
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Note: all filesystem related tools operate relative to the current directory
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only. They do not accept absolute paths, and efforts are made to ensure they
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cannot escape above the working directory). **Close attention must be paid to
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where you are running `lmcli`, as the model could at any time decide to use one
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of these tools to discover and read potentially sensitive information from your
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filesystem.**
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Tools are used by agents to acquire information from and interact with external systems. The following built-in tools are available:
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It's best to only have tools enabled in `config.yaml` when you intend to be
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using them, since their descriptions (see `pkg/cli/functions.go`) count towards
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context usage.
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- `dir_tree`: Display a directory structure
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- `read_file`: Read the contents of a file
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- `write_file`: Write content to a file
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- `file_insert_lines`: Insert lines at a specific position in a file
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- `file_replace_lines`: Replace a range of lines in a file
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Available tools:
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Obviously, some of these tools carry significant risk. Use wisely :)
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- `read_dir` - Read the contents of a directory.
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- `read_file` - Read the contents of a file.
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- `write_file` - Write contents to a file.
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- `file_insert_lines` - Insert lines at a position within a file. Tricky for
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the model to use, but can potentially save tokens.
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- `file_replace_lines` - Remove or replace a range of lines within a file. Even
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trickier for the model to use.
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## Install
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```shell
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$ go install git.mlow.ca/mlow/lmcli@latest
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```
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More tool features are planned, including the ability to define arbitrary tools which call out to external scripts, tools to spawn sub-agents, perform web searches, etc.
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## Usage
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Invoke `lmcli` at least once:
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```shell
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```console
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$ lmcli help
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lmcli - Large Language Model CLI
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Usage:
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lmcli <command> [flags]
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lmcli [command]
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Available Commands:
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chat Open the chat interface
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clone Clone conversations
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completion Generate the autocompletion script for the specified shell
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continue Continue a conversation from the last message
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edit Edit the last user reply in a conversation
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help Help about any command
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list List conversations
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new Start a new conversation
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prompt Do a one-shot prompt
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rename Rename a conversation
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reply Reply to a conversation
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retry Retry the last user reply in a conversation
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rm Remove conversations
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view View messages in a conversation
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Flags:
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-h, --help help for lmcli
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Use "lmcli [command] --help" for more information about a command.
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```
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Edit `~/.config/lmcli/config.yaml` and set `openai.apiKey` to your API key.
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### Examples
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Refer back to the output of `lmcli help` for usage.
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Start a new chat with the `coder` agent:
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Enjoy!
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```console
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$ lmcli chat --agent coder
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```
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Start a new conversation, imperative style (no tui):
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```console
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$ lmcli new "Help me plan meals for the next week"
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```
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Send a one-shot prompt (no persistence):
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```console
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$ lmcli prompt "What is the answer to life, the universe, and everything?"
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```
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## Contributing
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Contributions to `lmcli` are welcome! Feel free to open issues or submit pull requests on the project repository.
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For a full list of planned features and improvements, check out the [TODO.md](TODO.md) file.
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## License
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To be determined
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## Acknowledgements
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`lmcli` is just a hobby project. Special thanks to the Go community and the creators of the libraries used in this project.
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3
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the conversation we had six months ago about X")
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- [ ] Conversation categorization - model driven category creation and
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conversation classification
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- [ ] Image input
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- [ ] Image output (sixel support?)
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- [ ] Conversation exports to html/pdf/json
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## UI
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- [x] Prettify/normalize tool_call and tool_result outputs so they can be
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