mlsanityData to 14 Oct 2026

Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications

arXiv 2309.05542 ↗First posted 11 Sep 2023cs.SE cs.AI cs.CLcited by 11

Not on the map. Why?

Abstract (arXiv)

Language model applications are becoming increasingly popular and complex, often including features like tool usage and retrieval augmentation. However, existing frameworks for such applications are often opinionated, deciding for developers how their prompts ought to be formatted and imposing limitations on customizability and reproducibility. To solve this we present Kani: a lightweight, flexible, and model-agnostic open-source framework for building language model applications. Kani helps developers implement a variety of complex features by supporting the core building blocks of chat interaction: model interfacing, chat management, and robust function calling. All Kani core functions are easily overridable and well documented to empower developers to customize functionality for their own needs. Kani thus serves as a useful tool for researchers, hobbyists, and industry professionals alike to accelerate their development while retaining interoperability and fine-grained control.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 5 of its 11 references that are in the map. First posted on arXiv 11 Sep 2023.

Builds on

5 of 11 references.

References · 5

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  3. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  4. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  5. 2022Prompting Is Programming: A Query Language for Large Language Modelscited by 110

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 4; 2026: 2.

11 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
  2. 2023AgentSims: An Open-Source Sandbox for Large Language Model Evaluation
  3. 2023Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators
  4. 2025Kanana: Compute-efficient Bilingual Language Models
  5. 2024OpenThaiGPT 1.5: A Thai-Centric Open Source Large Language Model
  6. 2025Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges
  7. 2025Conversation Routines: A Prompt Engineering Framework for Task-Oriented Dialog Systems
  8. 2025ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models