Block references are now supported. There are two kinds, "inline" and "topline". The inline refs are created by writing "@blockid" on a line alone in the NL code, while the topline refs are created by putting the "@blockid" ref on the top line of the block. Block ids themselves are always created by writing "#blockid" on the top line of the block. Blocks can have more than one id. The best way to see these features for now is to check the cmpr source itself for examples. You can use the ":expand" ex command in cmpr to see how the block you're looking at looks when expanded. This can be a useful way to check some references quickly yourself. You can use "@blockid:code" to include the PL section of the block instead of the natural language section, and "@blockid:all" to include both.

Block ids with the "hashtag syntax", like "#block_id" are now a supported feature. In addition to the block references feature using them, they are also used by the "#" keybinding, which lets you see and jump quickly to any block that has an id.

Markdown is now supported; each heading creates a block. (If you have two headings, like "# big heading\n## sub-heading" then you'll get two blocks.) The markdown blocks don't have any "code part", they are all NL and no PL, so most of the LLM features like "r" won't make sense to use with them. It's just a quick way to move through markdown files and keep your code organized.

Thanks to @dannovikov for the Windows improvements.

Run the ollama server locally and load the models, and add the models you want to use to the conf file (e.g. "ollamas: llama3,llama3:70b"). The models will then appear in ":models".

Just run llama.cpp with the model you want to use, and use ":models" to pick llama.cpp.

We no longer link against libcurl, but just call out to the curl binary. You can set the curlbin in the conf file if you don't want the default (which is just "curl" in your PATH).

Thanks to @petterik for the Python bootstrap script. To use it, copy bootstrap-py.sh into your project, put "bootstrap: ./bootstrap-py.sh" in your .cmpr/conf and modify it to suit your needs. The script assumes you have a top-level comment in block 1 that is relevant for the LLM and that you have ctags installed.

Support for LLM rewriting directly via API is now supported in addition to the clipboard style interaction. Use ":models" to switch between the modes, and put your OpenAI API key in .cmpr/openai-key.

Many minor improvements and fixes.