Kel

Kel is a powerful and versatile AI assistant designed to live within your command-line interface (CLI). As a free and open-source tool, it empowers developers, DevOps engineers, and system administrators to supercharge their productivity by bringing the intelligence of large language models (LLMs) directly into their terminal. By integrating seamlessly with leading AI providers like OpenAI, Anthropic, and the open-source Ollama platform, Kel acts as an on-demand expert, helping you automate repetitive tasks, generate complex commands, and find solutions without ever leaving your command line.

The core philosophy of Kel is to make the CLI more intelligent and efficient. Instead of manually searching for command syntax or scripting solutions, you can simply ask Kel in natural language. It can translate your requests into precise shell commands, explain what they do, and help you debug errors. This significantly reduces context switching and streamlines development workflows.

How to use Kel

Getting started with Kel is straightforward and designed for developers. Here is a step-by-step guide:

1. Prerequisites: Ensure you have Python 3.6 or a newer version and `pip` installed on your system.
2. Installation: Clone the official Kel repository from GitHub to your local machine. Navigate into the cloned directory (`cd kel`) and run the command `pip install .` to install the tool and its dependencies.
3. Configuration: The central configuration file is `config.toml`. Here, you can customize personal settings, define default behaviors, set the style, and choose your preferred LLM.
4. API Keys: Kel operates on a "Bring Your Own Key" (BYOK) model. You need to set your API keys from OpenAI and/or Anthropic as environment variables in your operating system. For example: `export OPENAI_API_KEY="sk-..."` and `export ANTHROPIC_API_KEY="sk-ant-..."`.
5. Usage: Once configured, you can invoke Kel directly from your terminal. You can ask for commands (`kel "git command to rebase last 3 commits"`), ask general questions with a specific context (`kel "What is the population of India?" -p "You are a demography expert"`), or specify which LLM to use (`kel "..." -c ollama -m llama2`).
6. Chat with Files: For interactive analysis, use the OpenAI Assistant feature. Run `kel -a MyAssistant -f ` to upload a file and start a chat session to ask questions about its content. The assistant and file are deleted upon exiting the session to ensure privacy.

Core Features of Kel

• Multi-LLM Support: Flexibility to choose between different powerful language models, including OpenAI (GPT series), Anthropic (Claude series), and local models via Ollama (e.g., Llama 2).
• OpenAI Assistant Integration: Enables stateful, interactive chat sessions with your documents, logs, or code files directly in the terminal for in-depth analysis.
• Context-Aware Prompts: You can guide the AI's personality and expertise using the `-p` flag, ensuring more accurate and relevant responses for specialized tasks.
• Free and Open Source: Kel is completely free to use and its source code is available on GitHub, encouraging community contributions and transparency.
• Bring Your Own Key (BYOK): You maintain full control over your API usage and costs by using your own keys from AI providers.
• Workflow Automation: Automates the generation of commands and scripts, saving time and reducing the cognitive load of remembering complex syntax.

Use Cases for Kel

Kel is ideal for a wide range of command-line tasks, including:

• Command Generation: Quickly generate complex commands for tools like `git`, `docker`, `kubectl`, `awk`, or `sed`. For example: `kel "show all running docker containers with their IP addresses"`.
• Code & Scripting Assistance: Get help writing shell scripts, Python snippets, or other code directly in your terminal.
• System Administration: Find commands for managing services, checking network connections (`kel "command to get active connections in linux"`), or analyzing system logs.
• Learning & Exploration: Use Kel as a learning tool to understand what different commands do or to explore new CLI tools.
• Document Analysis: Upload a log file, a CSV, or a technical document and ask specific questions about its contents to quickly find information.

Advantages of Kel

The primary advantage of Kel is its ability to seamlessly integrate AI into the native developer environment—the terminal. This leads to enhanced productivity by minimizing distractions and context switching. Its support for multiple LLMs gives users the freedom to choose the best model for their needs, whether it's for performance, cost, or privacy (with local Ollama models). Being open-source, it is highly transparent and customizable. The BYOK model ensures users have direct control over their data and API expenses.

Pricing and Plans

Kel is fundamentally a free and open-source tool. You can download, use, and modify it without any cost. The operational cost is based on your usage of the underlying LLM APIs (OpenAI, Anthropic), for which you use your own keys. For businesses or individuals who require dedicated assistance, Kel also offers paid support plans. You can contact the maintainers for more details on these plans.