Kel is an AI-driven command-line interface (CLI) tool developed by QAInsights, designed to enhance productivity and streamline tasks for developers, testers, and other users.
What Kel Does
Kel connects users to Large Language Models (LLMs) directly from their command line interface, allowing them to automate repetitive tasks, get quick and accurate responses, and improve their workflow efficiency. The tool is particularly useful for performance engineers and others who need rapid access to information without the need to open a browser or perform manual searches.
Key Features and Functionality
CLI-Based Utility
Kel offers a command-line interface for easy interaction, enabling users to ask questions and receive responses directly in their terminal.
Support for Multiple LLMs
Kel supports various LLM models, including OpenAI, Anthropic, Ollama, and Google’s Gemini. This versatility allows users to choose the most suitable model for their tasks.
Customization
Users can personalize Kel by using their own API keys for the supported LLMs. This feature allows for flexibility and customization of the tool according to individual preferences.
Chat with Documents
Kel enables users to upload files and “chat” with the documents, which is particularly helpful for analyzing and interacting with data directly from the CLI.
Styling Configuration
Users can customize the output style of Kel to suit their preferences, making the tool more user-friendly and adaptable to different workflows.
Performance Metrics
Kel provides information such as response time, tokens used, and other relevant metrics, helping users understand the performance and cost implications of using the tool.
Free and Open-Source
Kel is a free and open-source utility, encouraging contributions and continuous enhancement through its GitHub platform. Users only need to provide their own API keys to connect with the LLMs, making it a cost-effective solution.
Getting Started
To use Kel, users need to install the tool, configure their environment variables with the necessary API keys, and start asking questions using the `kel` command followed by their query. For example: `kel “What was the population of India in 1990?”`.
Overall, Kel is a powerful and flexible tool that leverages AI capabilities to enhance CLI productivity, automate tasks, and provide quick access to information, making it a valuable asset for developers and other professionals.
