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https://github.com/tsterbak/promptmage
simplifies the process of creating and managing LLM workflows as a self-hosted solution.
https://github.com/tsterbak/promptmage
ai llm
Last synced: 3 months ago
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simplifies the process of creating and managing LLM workflows as a self-hosted solution.
- Host: GitHub
- URL: https://github.com/tsterbak/promptmage
- Owner: tsterbak
- License: mit
- Created: 2024-04-11T17:17:30.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-05-22T08:19:57.000Z (6 months ago)
- Last Synced: 2024-05-22T12:12:01.218Z (6 months ago)
- Topics: ai, llm
- Language: Python
- Homepage: https://promptmage.io
- Size: 2.25 MB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-llmops - PromptMage - source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution. |  | (LLMOps / Observability)
README
PromptMage
simplifies the process of creating and managing LLM workflows as a self-hosted solution.
## About the Project
"PromptMage" is designed to offer an intuitive interface that simplifies the process of creating and managing LLM workflows as a self-hosted solution. It facilitates prompt testing and comparison, and it incorporates version control features to help users track the development of their prompts. Suitable for both small teams and large enterprises, "PromptMage" seeks to improve productivity and foster the practical use of LLM technology.
The approach with "PromptMage" is to provide a pragmatic solution that bridges the current gap in LLM workflow management. We aim to empower developers, researchers, and organizations by making LLM technology more accessible and manageable, thereby supporting the next wave of AI innovations.
## Philosophy
- Integrate the prompt playground into your workflow for fast iteration
- Prompts as first-class citizens with version control and collaboration features
- Manual and automatic testing and validation of prompts
- Easy sharing of results with domain experts and stakeholders
- build-in, automatically created API with fastAPI for easy integration and deployment
- Type-hint everything for automatic inference and validation magic
## Getting Started
### Installation
To install promptmage, run the following command:
```bash
pip install promptmage
```
## Usage
To use promptmage, run the following command:
```bash
promptmage run
```
This will start the promptmage server and run the flow at the given path. You can now access the promptmage interface at `http://localhost:8000/gui/`.
Have a look at the examples in the [examples](https://github.com/tsterbak/promptmage/tree/main/examples) folder to see how to use promptmage in your application or workflow.
## Use with Docker
You can find an usage example with docker here: [Docker example](https://github.com/tsterbak/promptmage/tree/main/examples/docker).
## Development
To develop PromptMage, check out the [DEVELOPMENT.md](DEVELOPMENT.md) file.
## Contributing
Contributing
We welcome contributions from the community! If you're interested in improving PromptMage, you can contribute in the following ways:
* **Reporting Bugs**: Submit an issue in our repository, providing a detailed description of the problem and steps to reproduce it.
* **Feature Requests**: Have ideas on how to make FlowForge better? We'd love to hear from you! Please submit an issue, detailing your suggestions.
* **Pull Requests**: Contributions via pull requests are highly appreciated. Please ensure your code adheres to the coding standards of the project, and submit a pull request with a clear description of your changes.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.
## Contact
For any inquiries or further information, feel free to reach out at [[email protected]](mailto:[email protected]).
## ❤️ Acknowledgements
This project was supported by
