Initial API-Based Smolagents and Linear.app Integration Example Akjava/linear-app-api-smolagents In short,this example contain get_todo_issue() tool and add_comment(),change_state_reviewing() function to linear.app
Large language models, like 70B parameter models, can often readily utilize tools such as add_comment or change_state, potentially handling multiple issues concurrently.
However, smaller models may require repeated calls to a tool or even fail to utilize it entirely.
Therefore, this initial example focuses on the get_todo_issue() tool.
I've released the dataset. It's a little skewed towards certain types of music. It might be interesting for people curious about the range of variations it can generate. It could also be a good starting point for experimenting with the Distrill model. I believe the quality is good enough to be used as background music for YouTube videos or probably as reference tracks for YuE or Udio.
This space-code might be helpful as a reference if you want to receive issue changes from linea.app via webhook and handle them using Gradio on Hugging Face Spaces or locally with AI.
Imagine an agent, responding instantly.
In short, Huggingface published webhooks_server.py under Apache 2.0,I've adapted it to work with a very small part of linear.app.