ts-patch
LLM-OpenAPI-minifier
ts-patch | LLM-OpenAPI-minifier | |
---|---|---|
6 | 2 | |
665 | 35 | |
- | - | |
7.0 | 5.6 | |
17 days ago | 10 months ago | |
TypeScript | Python | |
MIT License | MIT License |
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ts-patch
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Introducing TypeChat from Microsoft
yup, just found that, super neat, I am 100% interested in using this for other runtime validation...
It's interesting because I've always been under the impression the TS team was against the use of types at runtime (that's why projects like https://github.com/nonara/ts-patch) exist, but now they're doing it themselves with this project...
- Typescript compiler 'plugin' to add JS code generation
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Functions and algorithms implemented purely with TypeScript's type system
I recently learned about Typescript transformers[0] and wish they were better supported in a first-class manner. Working with ttypescript or ts-patch[1] is easy enough, but it still feels like you're doing something you shouldn't be doing.
My goal was to pass the Typescript types to the JS runtime, maybe there's a better way and GPT-4 just led me astray...
[0] https://github.com/itsdouges/typescript-transformer-handbook
[1] https://github.com/nonara/ts-patch
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Runtime Data Validation from TypeScript Interfaces
To accomplish this, I wrote a couple of transformer plugins for TypeScript. Now, tsc doesn't support plugins by default. (You may have seen plugins in the tsconfig.json for a project, but they are plugins for the editor's language server, not the compiler.) Luckily for us, again, there exists a fantastic open-source package to solve this problem. Ron S. maintains a package called ts-patch which, aptly, patches the tsc installation for a project to allow the project to specify compiler-plugins.
- Typescript AST manipulation in Deno?
LLM-OpenAPI-minifier
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Ask HN: Tell us about your project that's not done yet but you want feedback on
Hey, so I got pretty far into implementing open api specs for LLMs. To the point where you can point to an open api spec, ingest it, and then itβs available for GPT to select to satisfy user requests.
I do this by minify the specs and building an index to feed it that it selects from using logit bias.
Im at pause point on it while I figure out how to actually have GPT build the calls, but I think something like you have might solve that.
https://github.com/ShelbyJenkins/LLM-OpenAPI-minifier
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Introducing TypeChat from Microsoft
https://github.com/ShelbyJenkins/LLM-OpenAPI-minifier
I have a working solution to exposing the toggles.
Iβm integrating it into the bot I have in the other repo.
Goal is you point to an openapi spec and then GPT can run choose and run functions. Basically Siri but with access to any API.
What are some alternatives?
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