# StreamLM
[](https://pepy.tech/project/streamlm)
[](https://badge.fury.io/py/streamlm)
[](https://github.com/jeffmylife/streamlm/releases)
[](https://github.com/jeffmylife/streamlm/actions)
[](https://github.com/psf/black)
A command-line interface for interacting with various Large Language Models with beautiful markdown-formatted responses.
## Installation
### uv (recommended)
```bash
uv tool install streamlm
```
### PyPI
```bash
pip install streamlm
```
### Homebrew (macOS/Linux)
```bash
brew install jeffmylife/streamlm/streamlm
```
## Usage
After installation, you can use the `lm` command:
```bash
lm explain quantum computing
lm -m gpt-4o "write a Python function"
lm -m claude-3-5-sonnet "analyze this data"
```
### Raw Markdown Output
StreamLM includes beautiful built-in markdown formatting, but you can also output raw markdown for piping to other tools:
```bash
# Output raw markdown without Rich formatting
lm --md "explain machine learning" > output.md
# Pipe to your favorite markdown formatter (like glow)
lm --md "write a Python tutorial" | glow
# Use with other markdown tools
lm --raw "create documentation" | pandoc -f markdown -t html
```
### Supported Models
StreamLM provides access to various Large Language Models including:
- **OpenAI**: GPT-4o, o1, o3-mini, GPT-4o-mini
- **Anthropic**: Claude-3-7-sonnet, Claude-3-5-sonnet, Claude-3-5-haiku
- **Google**: Gemini-2.5-flash, Gemini-2.5-pro, Gemini-2.0-flash-thinking
- **DeepSeek**: DeepSeek-R1, DeepSeek-V3
- **xAI**: Grok-4, Grok-3-beta, Grok-3-mini-beta
- **Local models**: Via Ollama (Llama3.3, Qwen2.5, DeepSeek-Coder, etc.)
### Options
- `--model` / `-m`: Choose the LLM model
- `--image` / `-i`: Include image files for vision models
- `--context` / `-c`: Add context from a file
- `--max-tokens` / `-t`: Set maximum response length
- `--temperature` / `-temp`: Control response creativity (0.0-1.0)
- `--think`: Show reasoning process (for reasoning models)
- `--debug` / `-d`: Enable debug mode
- `--raw` / `--md`: Output raw markdown without Rich formatting
## Features
- 🎨 Beautiful markdown-formatted responses
- 🖼️ Image input support for compatible models
- 📁 Context file support
- 🧠 Reasoning model support (DeepSeek, OpenAI o1, etc.)
- 🔧 Extensive model support across providers
- ⚡ Fast and lightweight
- 🛠️ Easy configuration
## Links
- [PyPI Package](https://pypi.org/project/streamlm/)
- [Homebrew Tap](https://github.com/jeffmylife/homebrew-streamlm)
- [Issues](https://github.com/jeffmylife/streamlm/issues)
## License
MIT License - see [LICENSE](LICENSE) file for details.
## Development
```bash
# Make your changes
uv version --bump patch
git add .
git commit -m "feat: your changes"
git push
# Create GitHub release (this triggers everything automatically)
gh release create v0.1.4 --generate-notes
```
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