# Local LLM Prompt Manager

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A CLI tool for developers to manage, organize, version control, and share local LLM prompts and configurations. Features include creating prompt libraries, tagging, search, templating, and generating commit messages. Works with Ollama, LM Studio, and other local LLM runners.

## Features

- **Create & Manage Prompts**: Store prompts in YAML format with metadata
- **Tagging System**: Organize prompts with tags for fast filtering
- **Powerful Search**: Find prompts by name, content, or tags
- **Template System**: Jinja2-style templating with variable substitution
- **Git Integration**: Generate commit messages from staged changes
- **LLM Integration**: Works with Ollama and LM Studio
- **Import/Export**: Share prompts in JSON/YAML or LLM-specific formats

## Installation

```bash
# Install from PyPI (coming soon)
pip install local-llm-prompt-manager

# From source
git clone https://7000pct.gitea.bloupla.net/7000pctAUTO/local-llm-prompt-manager.git
cd local-llm-prompt-manager
pip install -e .

# Or install dependencies manually
pip install click rich pyyaml requests jinja2
```

## Quick Start

### Create a Prompt

```bash
llm-prompt prompt create my-prompt \
  --template "Explain {{ concept }} in simple terms" \
  --description "Simple explanation generator" \
  --tag "explanation" \
  --variable "concept:What to explain:true"
```

### List Prompts

```bash
llm-prompt prompt list
llm-prompt prompt list --tag "explanation"
```

### Run a Prompt with Variables

```bash
llm-prompt run my-prompt --var concept="quantum physics"
```

### Generate a Commit Message

```bash
# Stage some changes first
git add .

# Generate commit message
llm-prompt commit
```

## Commands

### Prompt Management

| Command | Description |
|---------|-------------|
| `llm-prompt prompt create <name>` | Create a new prompt |
| `llm-prompt prompt list` | List all prompts |
| `llm-prompt prompt show <name>` | Show prompt details |
| `llm-prompt prompt delete <name>` | Delete a prompt |

### Tag Management

| Command | Description |
|---------|-------------|
| `llm-prompt tag list` | List all tags |
| `llm-prompt tag add <prompt> <tag>` | Add tag to prompt |
| `llm-prompt tag remove <prompt> <tag>` | Remove tag from prompt |

### Search & Run

| Command | Description |
|---------|-------------|
| `llm-prompt search [query]` | Search prompts |
| `llm-prompt run <name>` | Run a prompt |

### Git Integration

| Command | Description |
|---------|-------------|
| `llm-prompt commit` | Generate commit message |

### Import/Export

| Command | Description |
|---------|-------------|
| `llm-prompt export <output>` | Export prompts |
| `llm-prompt import <input>` | Import prompts |

### Configuration

| Command | Description |
|---------|-------------|
| `llm-prompt config show` | Show current config |
| `llm-prompt config set <key> <value>` | Set config value |
| `llm-prompt config test` | Test LLM connection |

## Prompt Format

Prompts are stored as YAML files:

```yaml
name: explain-code
description: Explain code in simple terms
tags: [documentation, beginner]
variables:
  - name: code
    description: The code to explain
    required: true
  - name: level
    description: Explanation level (beginner/intermediate/advanced)
    required: false
    default: beginner
template: |
  Explain the following code in {{ level }} terms:

  ```python
  {{ code }}
  ```

provider: ollama
model: llama3.2
```

## Template System

Use Jinja2 syntax for variable substitution:

```jinja2
Hello {{ name }}!
Your task: {{ task }}

{% for item in items %}
- {{ item }}
{% endfor %}
```

Provide variables with `--var key=value`:

```bash
llm-prompt run my-prompt --var name="Alice" --var task="review code"
```

## Configuration

Default configuration file: `~/.config/llm-prompt-manager/config.yaml`

```yaml
prompt_dir: ~/.config/llm-prompt-manager/prompts
ollama_url: http://localhost:11434
lmstudio_url: http://localhost:1234
default_model: llama3.2
default_provider: ollama
```

## Environment Variables

| Variable | Default | Description |
|----------|---------|-------------|
| `LLM_PROMPT_DIR` | `~/.config/llm-prompt-manager/prompts` | Prompt storage directory |
| `OLLAMA_URL` | `http://localhost:11434` | Ollama API URL |
| `LMSTUDIO_URL` | `http://localhost:1234` | LM Studio API URL |
| `DEFAULT_MODEL` | `llama3.2` | Default LLM model |

## Examples

### Create a Code Explainer Prompt

```bash
llm-prompt prompt create explain-code \
  --template "Explain this code: {{ code }}" \
  --description "Explain code in simple terms" \
  --tag "docs" \
  --variable "code:The code to explain:true"
```

### Export to Ollama Format

```bash
llm-prompt export my-prompts.yaml --format ollama
```

### Import from Another Library

```bash
llm-prompt import /path/to/prompts.json --force
```

## Testing

```bash
# Run all tests
pytest tests/ -v

# Run with coverage
pytest tests/ --cov=src

# Run specific test file
pytest tests/test_cli.py -v
```

## Troubleshooting

| Error | Solution |
|-------|----------|
| Prompt not found | Use `llm-prompt list` to see available prompts |
| LLM connection failed | Ensure Ollama/LM Studio is running |
| Invalid YAML format | Check prompt YAML has required fields |
| Template variable missing | Provide all required `--var` values |
| Git repository not found | Run from a directory with `.git` folder |

## Contributing

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

## License

MIT License - see [LICENSE](LICENSE) file for details.