A simple Semantic Kernel prompt debugging tool.
- Download the latest installation package from Release.
- Install and run
prompt-playground.exe
.
You need to enter the configuration settings for the first time.
Click on the configuration in the menu to enter the configuration interface.
The current model selection supports:
- Azure OpenAI ChatCompletion (gpt-35/gpt-4)
- OpenAI ChatCompletion
- Baidu ERNIE-Bot
- Aliyun DashScope
Generation quantity
refers to the maximum number of results generated, the default is 3.
Fill in the corresponding parameters and close.
Enter the prompt directly in the prompt box on the main interface, and click Generate
(Ctrl+G/Ctrl+Enter).
Click the Open File
button on the menu bar, select the skprompt.txt file, and the prompt will be automatically imported, and the corresponding config.json file will be imported at the same time.
For skprompts without a config.json file, a default config.json file will be automatically created.
Click the Tab above the input box to switch to the config.json editing interface.
After modifying the skprompt.txt or config.json file, click the Save (Ctrl+S) button to save to the corresponding file.
- Click on the menu bar, select [Open Folder], and choose the folder containing Semantic Functions
- Expand the sidebar to see all Semantic Functions in the current folder
- Select the corresponding Function to edit and run
- Install .NET 8 SDK
- Download the source code
- Run
dotnet build
See Roadmap
This project is licensed under the MIT License - see the LICENSE file for details