modelfusion
zod
modelfusion | zod | |
---|---|---|
18 | 292 | |
952 | 30,630 | |
12.3% | - | |
9.9 | 9.1 | |
6 days ago | 6 days ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
modelfusion
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Next.js and GPT-4: A Guide to Streaming Generated Content as UI Components
ModelFusion is an AI integration library that I am developing. It enables you to integrate AI models into your JavaScript and TypeScript applications. You can install it with the following command:
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Effortlessly Generate Structured Information with Ollama, Zod, and ModelFusion
ModelFusion is an open-source library I'm developing to integrate AI models seamlessly into TypeScript projects. It provides an Ollama client and a generateStructure function.
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Create Your Own Local Chatbot with Next.js, Ollama, and ModelFusion
ModelFusion: ModelFusion is a library for building multi-modal AI applications that I've been working on. It provides a streamText function that calls AI models and returns a streaming response. ModelFusion also contains an Ollama integration that we will use to access the OpenHermes 2.5 Mistral model.
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PDF Chat with Node.js, OpenAI and ModelFusion
You can find the complete code for the chatbot here: github/com/lgrammel/modelfusion/examples/pdf-chat-terminal
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Ask HN: Tell us about your project that's not done yet but you want feedback on
I’m working on ModelFusion, a TypeScript library for working with AI models (llm, image, etc.)
https://github.com/lgrammel/modelfusion
It is only getting limited traction so I’m wondering if I’m missing something fundamental with the approach that I’m taking.
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LangChain Agent Simulation – Multi-Player Dungeons and Dragons
If you work with JS or TS, check out this alternative that I've been working on:
https://github.com/lgrammel/modelfusion
It lets you stay in full control over the prompts and control flow while make a lot of things easier and more convenient.
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Introducing ModelFusion: Build AI apps with JavaScript and TypeScript.
The response also contains additional information such as the metadata and the full response. The ModelFusion documentation contains many examples and demo apps.
- Show HN: AI-utils.js – TypeScript-first lib for AI apps, chatbots, and agents
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ai-utils.js VS langchainjs - a user suggested alternative
2 projects | 26 Jul 2023
- ai-utils.js: TypeScript-first library for building AI apps, chatbots, and agents.
zod
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Simplifying Form Validation with Zod and React Hook Form
[Zod Documentation](https://zod.dev/) [Zod Error Handling](https://zod.dev/ERROR_HANDLING?id=error-handling-in-zod) [React-Hook-Form Documentation](https://react-hook-form.com/get-started) [Hookform Resolvers](https://www.npmjs.com/package/@hookform/resolvers)
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Figma's Journey to TypeScript
This is a very fair comment, and you seem open to understanding why types are useful.
"problems that are due to typing" is a very difficult thing to unpack because types can mean _so_ many things.
Static types are absolutely useless (and, really, a net negative) if you're not using them well.
Types don't help if you don't spend the time modeling with the type system. You can use the type system to your advantage to prevent invalid states from being represented _at all_.
As an example, consider a music player that keeps track of the current song and the current position in the song.
If you model this naively you might do something like: https://gist.github.com/shepherdjerred/d0f57c99bfd69cf9eada4...
In the example above you _are_ using types. It might not be obvious that some of these issues can be solved with stronger types, that is, you might say that "You rarely see problems that are due to typing".
Here's an example where the type system can give you a lot more safety: https://gist.github.com/shepherdjerred/0976bc9d86f0a19a75757...
You'll notice that this kind of safety is pretty limited. If you're going to write a music app, you'll probably need API calls, local storage, URL routes, etc.
TypeScript's typechecking ends at the "boundaries" of the type system, e.g. it cannot automatically typecheck your fetch or localStorage calls return the correct types. If you're casting, you're bypassing the type systems and making it worthless. Runtime type checking libraries like Zod [0] can take care of this for you and are able to typecheck at the boundaries of your app so that the type system can work _extremely_ well.
[0]: https://zod.dev/ note: I mentioned Zod because I like it. There are _many_ similar libraries.
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From Flaky to Flawless: Angular API Response Management with Zod
Zod is an open-source schema declaration and validation library that emphasizes TypeScript. It can refer to any data type, from simple to complex. Zod eliminates duplicative type declarations by inferring static TypeScript types and allows easy composition of complex data structures from simpler ones. It has no dependencies, is compatible with Node.js and modern browsers, and has a concise, chainable interface. Zod is lightweight (8kb when zipped), immutable, with methods returning new instances. It encourages parsing over validation and is not limited to TypeScript but works well with JavaScript as well.
- TypeScript Essentials: Distinguishing Types with Branding
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You can’t run away from runtime errors using TypeScript
Zod is a TypeScript-first schema declaration and validation library. It helps create schemas for any data type and is very developer-friendly. Zod has the functional approach of "parse, don't validate." It supports coercion in all primitive types.
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Best Next.js Libraries and Tools in 2024
Link: https://zod.dev/
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Popular Libraries For Building Type-safe Web Application APIs
You can check out their documentation here.
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Epic Next JS 14 Tutorial Part 4: How To Handle Login And Authentication in Next.js
You can learn more about Zod on their website here.
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What even is a JSON number?
In JS, it's a good idea anyway to use some JSON parsing library instead of JSON.parse.
With Zod, you can use z.bigint() parser. If you take the "parse any JSON" snippet https://zod.dev/?id=json-type and change z.number() to z.bigint(), it should do what you are looking for.
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Error handling in our form component for the NextAuth CredentialsProvider
We will validate our input using client-side zod. Zod handles TypeScript-first schema validation with static type inference. This means that it will not only validate your fields, it will also set types on validated fields.
What are some alternatives?
langchainjs - 🦜🔗 Build context-aware reasoning applications 🦜🔗
class-validator - Decorator-based property validation for classes.
langroid - Harness LLMs with Multi-Agent Programming
joi - The most powerful data validation library for JS [Moved to: https://github.com/sideway/joi]
aipl - Array-Inspired Pipeline Language
typebox - Json Schema Type Builder with Static Type Resolution for TypeScript
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Yup - Dead simple Object schema validation
async-interval-job - ✨ setInterval for promises and async/sync functions. Support graceful shutdown and prevent multiple executions from overlapping in time.
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
chatflow - Leveraging LLM to build Conversational UIs
io-ts - Runtime type system for IO decoding/encoding