Kimi CC: An Open Source Tool for Driving Claude Code with Kimi Models

kimi-cc is an open source project hosted on GitHub and developed by the LLM-Red-Team. It is implemented through the Kimi Latest model (kimi-k2-0711-preview) driver Claude Code , allowing developers to use Claude's features at low cost. The project provides easy-to-use installation scripts to support rapid deployment. Users can utilize Moonshot AI's API interface to integrate Kimi models into their development environment. The project emphasizes zero-configuration deployment and multi-functional support for developers who need efficient code generation and AI-assisted development. The open source community is active, with several users submitting questions and feedback recently, indicating that the project is rapidly evolving.

Function List

• Support for Kimi's latest model (kimi-k2-0711-preview) driver Claude Code The
• Provides one-click installation scripts to simplify the deployment process.
• Supports calling Kimi models through Moonshot AI's API interface.
• Allows users to customize API keys and flexibly configure the runtime environment.
• Open source code, support for community contributions and feature extensions.
• provide multiple paths token Support for a wide range of development scenarios.
• Automatically cleans session traces to ensure data privacy.

Using Help

Installation process

To use kimi-cc, you first need to install the project and configure the environment. Below are the detailed steps:

1. Download and run the installation script
   Run the following command in a terminal to automatically download and install kimi-cc:

   bash -c "$(curl -fsSL https://raw.githubusercontent.com/LLM-Red-Team/kimi-cc/refs/heads/main/install.sh)"
   

   This script pulls the latest version of kimi-cc from the GitHub repository and completes the basic configuration. If you get a "Could not resolve host" error, please check your network connection or try a different network environment. [](https://github.com/LLM-Red-Team/kimi-cc/issues/28)

2. Configuring API Keys
   Once the installation is complete, you need to configure the API key for Moonshot AI. Edit the environment variables and set the ANTHROPIC_BASE_URL cap (a poem) ANTHROPIC_API_KEY::

   export ANTHROPIC_BASE_URL=https://api.moonshot.cn/anthropic/
   export ANTHROPIC_API_KEY=your_moonshot_api_key_here
   

   You can register and get the API key on the Moonshot AI website. Make sure the key is correct or you won't be able to call the Kimi model.

3. Verify Installation
   Run the following command to check if the installation was successful:

   kimi-cc --version
   

   If the version number is returned, the installation was successful. If it fails, check the log file, usually located in the project directory under the logs/ Folder.

4. Renewal projects
   kimi-cc is an active open source project and regular updates are recommended to get the latest features. Run the following command to pull the latest code:

   git pull origin main
   

Main Functions

Using Kimi Models to Drive Claude Code

The core functionality of kimi-cc is to run Claude code using the Kimi model (kimi-k2-0711-preview). Users can generate code via command line or API calls. For example, run the following command to generate code:

kimi-cc generate --prompt "写一个 Python 函数实现快速排序"

The Kimi model returns optimized code snippets. You can save the output directly to a file:

kimi-cc generate --prompt "写一个 Python 函数实现快速排序" > quicksort.py

The generated code supports multiple programming languages, including Python, JavaScript, and Java.

Configure multiple tokens

kimi-cc supports multiple tokens to handle multiple API requests at the same time. Users need to add the token to the configuration file (usually config.yamlAdd the token information to the

tokens:
- token1: your_token_1
- token2: your_token_2

After saving, restart the service:

kimi-cc restart

Multiple tokens are suitable for high concurrency scenarios, such as team development or batch code generation.

Data privacy protection

kimi-cc provides automatic cleaning of session traces. After each session, the system will automatically delete temporary data to prevent information leakage. Users can find out more about this feature in the config.yaml Enable or disable this feature in the

auto_clear_session: true

Featured Function Operation

Integration with Moonshot AI API

kimi-cc calls Kimi models through the API interface of Moonshot AI. Users can customize the API request parameters, such as setting the maximum output length:

kimi-cc generate --max-tokens 1000 --prompt "生成一个 Flask Web 应用"

This feature is suitable for scenarios that require long text output, such as generating complete project code.

Community Support and Outreach

kimi-cc is an open source project that allows users to submit issues or contribute code directly on GitHub. For example, users recently reported network issues with the installation script, which the community is actively working to fix. You can contribute code by following these steps:

1. Fork kimi-cc Warehouse.
2. Create a new branch:git checkout -b feature/your-featureThe
3. Submit changes:git commit -m "添加新功能"The
4. Push and create a Pull Request.

caveat

• Ensure a stable internet connection to avoid script installation failures.
• Use official Moonshot AI API keys and avoid using keys obtained from unofficial sources.
• The project is for testing only, for commercial use you need to visit the official Moonshot AI platform. [](https://github.com/LLM-Red-Team)

application scenario

1. Rapid code generation for individual developers
   Developers can use kimi-cc to generate high-quality code snippets, such as algorithm implementations or web application frameworks. kimi models support multiple languages and are suitable for independent developers to quickly validate ideas.
2. Teamwork Development
   kimi-cc's multiple token support is suitable for team development. Multiple developers can call the API, generate code or debug projects at the same time, improving collaboration efficiency.
3. Learning AI Model Integration
   Students or AI enthusiasts can use kimi-cc to learn how to integrate big models into the code generation process, and get a hands-on look at API calls and model deployment.
4. Low-cost alternative Claude
   For users with limited budgets, kimi-cc provides a low-cost way to use Claude code to implement similar functionality through the Kimi model.

QA

1. What programming languages does kimi-cc support?
   kimi-cc supports a variety of programming languages through the Kimi model, including Python, JavaScript, Java, C++, and more. Users can specify the language when generating code.
2. How to get Moonshot AI API key?
   Visit the official Moonshot AI website (https://www.moonshot.cn), register for an account and request an API key. Free users are limited to a certain amount.
3. What if the installation fails?
   Check your network connection to make sure you have access to GitHub. if it still fails, check the log files or file an issue in GitHub and the community will help.
4. Is kimi-cc commercially available?
   kimi-cc is for testing only. Commercial use requires access to the official Moonshot AI platform for stable API services.