I updated the gist with comments! In short: it configures the container with everything needed to let the agent run `devtools::test()` for the local R package within the container setup time limit. It installs R, configures CRAN, installs pkg dependencies, sets some env vars, etc.

I'd love to know what we can do to make this better! We've put a lot of work into making environment discovery "just work" with `py_require()` recently, but if you're still running into issues then our work is not done!

I think it will probably be straightforward to add support for GIL-free builds of Python, but it needs a little investigation at the moment. There is an open issue: github.com/rstudio/reti... Contributions welcome!

Another option is to distribute it via github as a release asset. This would download the store at first use instead of at package install.
Here is an example:
github.com/t-kalinowski...

This would be a prime example to showcase quickr!

ragnar should support this if you provide a custom `embed` function, e.g., using a local graph embedding model via reticulate, or if you just insert chunks with precomputed embeddings. This would be a good example for us to add to docs! Feel free to open a github issue if you run into any problems!

It works with shiny! We’ve deployed ragnar on a few connect apps already.
Some models are more or less eager to call tools; it depends on the model. If you’re seeing an error, please open a github issue!

Other highlights:

- `read_as_markdown()` handles HTML better, now supports selectors
- Store inspector now displays chunk context and looks nicer.
- More embedding providers (Google, Databricks, Bedrock)

Full changelog: ragnar.tidyverse.org/news/

You might enjoy this (even if you don’t use R): happygitwithr.com