onefilellm

ne-- that's it! just open in a modern browser like chrome and you can use it securely. * Because it's locally hosted, with no requirements like python or anything else, it's very quick to get it running on any machine, and because it's local, you can use it on your own private repos without worrying about using a github authorization token or similar annoyance. * You don't even need to be working with a repo at all, it works just as well with a regular folder of code files. Also, I added tons of quality of life improvements that were major pain points for me personally: These include laboriously re-selecting the same or very similar subset of files over and over again; now you can save a preset (either to localStorage in the browser or exported and saved as a JSON file) and dramatically speed this up. There are also a few other features to speed up the file selection process, such as quick string based filtering on file names, and common quick selection patterns (such as "select all React files"). It also keeps track of the total size in KB and lines of text that have been selected in a handy tally section which is always visible in the upper right corner, so you always know when you are reaching the maximum of the context window of whatever model you're working with. Based on my experience, I added in warnings for GPT4o and o1 and also Claude3.5 Sonnet. Before the listing of the files and their contents, it also automatically includes the hierarchical file/folder structure of the files you select, and next to each one, shows the size in KB and the number of lines, which helps give the model context about which files are the most important. I also added the ability to minify the code so you can cram more into the context window. Similarly, you can also strip out code comments, and it will tell you how much space this saved. You can also specify a "preamble" that you can save and quickly edit, as well as a "goal" where you specify what you're trying to accomplish. All of this can be included in your saved presets to save you time. I hope you find it useful!

d you can use it securely. Because it's locally hosted, with no requirements like python or anything else, it's very quick to get it running on any machine, and because it's local, you can use it on your own private repos without worrying about using a github authorization token or similar annoyance. You don't even need to be working with a repo at all, it works just as well with a regular folder of code files. Also, I added tons of quality of life improvements that were major pain points for me personally: These include laboriously re-selecting the same or very similar subset of files over and over again; now you can save a preset (either to localStorage in the browser or exported and saved as a JSON file) and dramatically speed this up. There are also a few other features to speed up the file selection process, such as quick string based filtering on file names, and common quick selection patterns (such as "select all React files"). It also keeps track of the total size in KB and lines of text that have been selected in a handy tally section which is always visible in the upper right corner, so you always know when you are reaching the maximum of the context window of whatever model you're working with. Based on my experience, I added in warnings for GPT4o and o1 and also Claude3.5 Sonnet. Before the listing of the files and their contents, it also automatically includes the hierarchical file/folder structure of the files you select, and next to each one, shows the size in KB and the number of lines, which helps give the model context about which files are the most important. I also added the ability to minify the code so you can cram more into the context window. You can also specify a "preamble" that you can save and quickly edit, as well as a "goal" where you specify what you're trying to accomplish.

adashy/repopack) - [ingest](https://github.com/sammcj/ingest) --> haven't tried these yet, but they actually look promising...

g code, think step by step, here's a tip, etc" with all of the effort involved in a few cut and pastes of URLS and one barely coherent run-on sentence. The results have positive. It has an MIT license for free use. I would greatly appreciate any critical feedback, suggestions or PRs.

as described in the readme. I needed this tool for myself and thought it might be of use to someone else.