Is MLX Direct Decider free?

MLX Direct Decider is listed as Open Source. Check https://github.com/ItsOdeLeo/MLX-Direct-Decider for the current plan limits, as vendors change pricing frequently.

MLX Direct Decider

Q: What is MLX Direct Decider?

MLX Direct Decider is a code AI tool listed on Use AI Tools. MLX Direct Decider turns an MLX model you already have into a local decision engine on Apple Silicon, with no fine-tuning and no extra decision-model weights. You supply application state, a natural-language request and the allowed choices; the full model processes the prompt normally and the library reads candidate logits from its unchanged original output head without generating a continuation. It returns a stable candidate ID, no_match or abstain, and is available through a Python API, a CLI or a local text HTTP service. Use it for action selection, classification, semantic routing and enum or boolean decisions.

Q: What is MLX Direct Decider best for?

MLX Direct Decider is commonly used for Decisions from a model you already run, Avoiding a separate decision-model download, Local enum and boolean decisions on a Mac. It supports English.

Code⚡ Advanced✅ Global access

Decisions from a model you already runAvoiding a separate decision-model downloadLocal enum and boolean decisions on a Mac

Open SourceEnglish

MLX Direct Decider turns an MLX model you already have into a local decision engine on Apple Silicon, with no fine-tuning and no extra decision-model weights. You supply application state, a natural-language request and the allowed choices; the full model processes the prompt normally and the library reads candidate logits from its unchanged original output head without generating a continuation. It returns a stable candidate ID, no_match or abstain, and is available through a Python API, a CLI or a local text HTTP service. Use it for action selection, classification, semantic routing and enum or boolean decisions.

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🎯 Real-World Use Cases

Pick a candidate

Send state, a request and allowed choices; get back a stable candidate ID, no_match or abstain.

Route semantically

Use it for classification and routing where you want a probability rather than prose.

Serve it locally

Run the local text HTTP service or call the Python API from your own code.

⚖️ Honest Review

✅ Pros

+No fine-tuning and no extra weights beyond a compatible base model
+Reads logits without generating a continuation
+Python API, CLI and local HTTP service

⚠️ Cons

−0.1 experimental and not published as stable
−The accuracy figure quoted is self-reported on a legacy public set

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CodeOct 26, 2026