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I did what Microsoft wouldn’t – updated the POML VS Code extension. They had initially supported it for 2-3 months before disappearing when it didn’t meet performance targets.
- A bug in how they handled certain characters in the POML markup caused issues with sending prompts to the LLM.
- I used OpenCode and an extension by waybarrios to identify and fix these bugs, making the preview panel work again after some updates.
This update ensures that users can continue to use their custom prompt templates efficiently without encountering performance issues. The updated POML VS Code extension now allows for smoother interaction with large language models (LLMs).
– This update is particularly useful for those who frequently write and edit LLM prompts.
– It simplifies the process of setting up the extension, including choosing providers like OpenAI Chat Completion.
– Users can also set their API target URL, default model, temperature, and trace level to optimize their experience further.
I might add support for LM Studio and Lemonade as additional providers in future updates. Additionally, incorporating TOC-based dynamic loading could enhance the performance of managing complex prompt structures.
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– This update is particularly useful for those who frequently write and edit LLM prompts.
– It simplifies the process of setting up the extension, including choosing providers like OpenAI Chat Completion.
– Users can also set their API target URL, default model, temperature, and trace level to optimize their experience further.
I might add support for LM Studio and Lemonade as additional providers in future updates. Additionally, incorporating TOC-based dynamic loading could enhance the performance of managing complex prompt structures.
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