Orakle: Achieving Perfect LLM Tool-Use on Consumer Hardware Without Function-Calling APIs
We present Orakle, a client-side framework that achieves 100% tool selection accuracy across all tested Large Language Models (LLMs), from state-of-the-art commercial APIs to quantized models executing on consumer-grade hardware. By replacing complex function-calling mechanisms with a straightforward protocol and implementing a two-phase hybrid match-ing system, we demonstrate that contemporary LLMs possess inherent tool-use capabilities that require only appropriate interfacing.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-30
- DOI
- https://doi.org/10.5281/zenodo.15778380
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00