🟢 #165 refactor(llm): add AI SDK, reroute Gemini calls to it +306 -5,540 19d ago by
LoneRifle ↗ analysis ↗ GitHub ## Motivation
LoneRifle/mike
@LoneRifle's take on Mike, with an eye toward talking to model providers like Gemini through one clean abstraction.
This is @LoneRifle's fork of Mike, and right now it sits very close to the original - there's little here yet that sets it apart from what you'd get upstream. If you tried it today, it would feel like Mike itself.
What gives it a sense of direction is a single stated intention: @LoneRifle wants to route the assistant's Gemini calls through Vercel's AI SDK rather than a one-off provider integration. The idea is to lay down reusable plumbing for talking to model providers through a single abstraction, then use that to drive Gemini.
It's early. This reads more like the opening move of a plan than a shipped product, so treat it as one to watch rather than one to adopt. If the provider-abstraction angle interests you, the GitHub page is worth a look for where it goes next.
What's in it
- One abstraction for model providers @LoneRifle's plan is to talk to providers like Gemini through a single, reusable layer instead of bespoke wiring for each one - cleaner plumbing to build on.
Direction
integrationinfrastructure
Activity
📝 LoneRifle is building the fork a universal adapter for AI models 0 commits — infrastructureintegration draft
A proposal to stop hard-wiring Google's Gemini into the platform and route it through a single, swappable connection layer instead.
Threads of work (detailed view)
LoneRifle is building the fork a universal adapter for AI models
A proposal to stop hard-wiring Google's Gemini into the platform and route it through a single, swappable connection layer instead.
Pull requests (detailed view)
🟢 Open (1)
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LoneRifle · opened 2mo ago