LLM Prompt Manager

A Streamlit application for creating, managing, and testing LLM (Large Language Model) prompts with version control capabilities.

• Prompt Management

  • Create and store prompts with template variables
  • Version control for prompts
  • Browse and search existing prompts
  • Upvote useful prompts
  • Copy prompts to clipboard

• Template System

  • Jinja2-based templating
  • Variable validation
  • Example value storage

• Testing Capabilities

  • Test prompts with multiple LLM endpoints
  • Compare responses from different models
  • Real-time prompt rendering preview
  • Create and store test cases
  • JSON-based input/output pairs
  • LLM judge scoring system
  • Pass/fail status tracking
  • Automated scoring of test case results
  • Detailed comparison reports

• Prompt Design Assistant

  • Automated prompt generation and refinement
  • Test-driven prompt development
  • Iterative improvement based on test results
  • LLM-powered evaluation and scoring
  • Version tracking of design iterations

• Test Case Management

  • Create and store test cases
  • JSON-based input/output pairs
  • Automated test execution
  • LLM judge scoring system
  • Pass/fail status tracking

1. Clone the repository:

git clone https://github.com/yourusername/llm-prompt-manager.git
cd llm-prompt-manager

2. Create a venv:

uv venv -p 3.11

3. Activate venv:

.venv\bin\activate

4. Install dependencies:

uv pip install -r requirements.txt

## Configuration

Create a `config.yaml` file in the root directory with your LLM endpoints:

```yaml
endpoints:
  - name: "Llama 3.1 70n"
    url: "your-endpoint-url"
    model: "llama3.1:70b"
    description: "Llama 3.1 70b by Meta"
  
  - name: "Claude"
    url: "your-endpoint-url"
    model: "claude-v1"
    description: "Anthropic Claude Model"

1. Start the application:

streamlit run app.py

2. Navigate to the different pages:
   • Create: Create new prompts or edit existing ones
   • Browse: View and manage existing prompts
   • Test: Test prompts with different LLM endpoints

1. Enter prompt details:

   • Name
   • Author
   • Template (using Jinja2 syntax)
   • Example values for variables

2. Test the prompt before saving

3. Save to create a new version

• Each prompt edit creates a new version
• Browse page shows latest versions by default
• Select specific versions when viewing prompts
• All versions maintain their own upvote counts

1. Select a prompt from the library
2. Choose the desired version
3. Fill in template variables
4. Select up to 5 LLM endpoints
5. Run the test to compare responses

llm-prompt-manager/
├── app.py
├── config.yaml
├── requirements.txt
├── db_operations.py
├── config_handler.py
├── utils.py
└── pages/
    ├── create_page.py
    ├── browse_page.py
    └── test_page.py

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.