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Introducing AnyLanguageModel: One API for Local and Remote LLMs on Apple Platforms

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Introducing AnyLanguageModel: One API for Local and Remote LLMs on Apple Platforms

Developers building AI-powered apps typically take a hybrid approach, adopting some combination of:

Each comes with different APIs, different requirements, different integration patterns. It's a lot, and it adds up quickly. When I interviewed developers about building AI-powered apps, friction with model integration came up immediately. One developer put it bluntly:

I thought I'd quickly use the demo for a test and maybe a quick and dirty build but instead wasted so much time. Drove me nuts.

The cost to experiment is high, which discourages developers from discovering that local, open-source models might actually work great for their use case.

Today we're announcing AnyLanguageModel, a Swift package that provides a drop-in replacement for Apple's Foundation Models framework with support for multiple model providers. Our goal is to reduce the friction of working with LLMs on Apple platforms and make it easier to adopt open-source models that run locally.

The core idea is simple: Swap your import statement, keep the same API.

Here's what that looks like in practice. Start with Apple's built-in model:

The focus is on local models that you can download from the Hugging Face Hub. Cloud providers are included to lower the barrier to getting started and to provide a migration path. Make it work, then make it right.

When designing AnyLanguageModel, we faced a choice: create a new abstraction that tries to capture everything, or build on an existing API. We chose the latter, using Apple's Foundation Models framework as the template.


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