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| -# CodeLLM-Devkit: A Python library for seamless interaction with CodeLLMs |
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| -[](https://arxiv.org/abs/2410.13007) |
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| -[](https://www.python.org/downloads/release/python-3110/) |
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| -[](https://opensource.org/licenses/Apache-2.0) |
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| -[](https://ibm.github.io/codellm-devkit/) |
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| -[](https://badge.fury.io/py/cldk) |
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| -[](https://discord.gg/AzVaWFS7vh) |
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| - |
| 1 | +<picture> |
| 2 | + <source media="(prefers-color-scheme: dark)" srcset="docs/assets/images/cldk-dark.png"> |
| 3 | + <source media="(prefers-color-scheme: light)" srcset="docs/assets/images/cldk-light.png"> |
| 4 | + <img src="docs/assets/img-light.png" alt="Logo"> |
| 5 | +</picture> |
| 6 | + |
| 7 | +<p align='center'> |
| 8 | + <a href="https://arxiv.org/abs/2410.13007"> |
| 9 | + <img src="https://img.shields.io/badge/arXiv-2410.13007-b31b1b?style=flat-square" /> |
| 10 | + </a> |
| 11 | + <a href="https://www.python.org/downloads/release/python-3110/"> |
| 12 | + <img src="https://img.shields.io/badge/python-3.11-blue?style=flat-square" /> |
| 13 | + </a> |
| 14 | + <a href="https://opensource.org/licenses/Apache-2.0"> |
| 15 | + <img src="https://img.shields.io/badge/License-Apache%202.0-green?style=flat-square" /> |
| 16 | + </a> |
| 17 | + <a href="https://ibm.github.io/codellm-devkit/"> |
| 18 | + <img src="https://img.shields.io/badge/GitHub%20Pages-Docs-blue?style=flat-square" /> |
| 19 | + </a> |
| 20 | + <a href="https://badge.fury.io/py/cldk"> |
| 21 | + <img src="https://img.shields.io/pypi/v/cldk?style=flat-square&label=codellm-devkit&color=blue" /> |
| 22 | + </a> |
| 23 | + <a href="https://discord.gg/zEjz9YrmqN"> |
| 24 | + <img src="https://dcbadge.limes.pink/api/server/https://discord.gg/zEjz9YrmqN?style=flat-square"/> |
| 25 | + </a> |
| 26 | +</p> |
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13 | 28 | Codellm-devkit (CLDK) is a multilingual program analysis framework that bridges the gap between traditional static analysis tools and Large Language Models (LLMs) specialized for code (CodeLLMs). Codellm-devkit allows developers to streamline the process of transforming raw code into actionable insights by providing a unified interface for integrating outputs from various analysis tools and preparing them for effective use by CodeLLMs.
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