#API key

This Python library and CLI tool facilitates interaction with Large Language Models via remote APIs or local installations. Key features include command-line prompts, SQLite storage, and embedding generation, with support for model expansion through plugins. Comprehensive documentation ensures streamlined usage and integration.

CodeBox offers a straightforward cloud infrastructure to execute Python code in sandboxed environments, suitable for machine learning apps and services. This tool is easy to install using pip and accommodates diverse environments ranging from local development to fully scaled production systems. Access its functionalities by obtaining an API key from the pricing page and delve into its extensive documentation for more insights. Embrace CodeBox's open-source nature under the MIT license, making it a reliable and community-oriented resource for developers.

The project offers a Python framework for creating and interacting with a GPT-3 powered chatbot, requiring OpenAI key usage. It provides a foundational codebase that supports customization and diverse application development. Emphasizing efficient token management, the project suggests using the Davinci engine for superior results. It is designed as a flexible tool for advancing AI technological explorations, characterized by straightforward setup and user-oriented design guidelines.

GeminiProChat provides an efficient web interface for seamless integration with Google's Gemini Pro API, offering a neutral platform designed for both developers and users. It supports deployment via widely-used services like Vercel, Railway, and Zeabur, as well as Docker for local hosting needs. Through environment variable integration, it allows for customizable API interactions and secure configurations. This independent project, with no Google affiliation, emphasizes ease of setup through comprehensive guides utilizing Node v18, PNPM, and an essential GEMINI API key, adapting core features from the ChatGPT-Demo for optimal user experience.

This comprehensive guide details how to build a fundamental chat application with the OpenAI Node SDK and Chat Completions API. It covers dependency installation, environment setup, and running a streaming chat app equipped with a message visualization UI. Ideal for developers embarking on their initial OpenAI API project.

The {chatgpt} R package provides AI tools for RStudio users, improving coding through features like code commentary, completion, and test generation. Interaction with ChatGPT aids in code clarification and refinement. Requiring an API key from OpenAI, this package facilitates a seamless coding experience, helping users troubleshoot and streamline their code. Ideal for data analysts and statisticians, it enables efficient coding and problem-solving directly within the RStudio environment.

This open-source CLI tool, developed with Rust and powered by OpenAI, converts natural language into executable terminal commands. It provides a straightforward option for those looking to enhance their bash skills, with easy installation steps including repository cloning and building the program. GitHub houses further details for contributions. Regular updates can be followed on the creator's Twitter.

Discover structured examples to efficiently implement Modal for scalable applications. Enroll at Modal for access to categorized examples, from beginner to advanced, that demonstrate key features. Locally run scripts interact with the cloud to deploy serverless environments. Each example is validated against Python 3.11, ensuring reliability, serving as an excellent resource for developers seeking to harness Modal's capabilities.

Open Interface automates computer tasks by integrating with LLMs such as GPT-4V to methodically execute user commands. It mimics user inputs and adjusts operations with real-time screenshots for accuracy. Compatible with macOS, Linux, and Windows, it simplifies both ordinary and complex tasks. By connecting to OpenAI’s GPT-4V, it expands functionality across diverse software applications. Explore its capabilities through demos and straightforward installation instructions to experience modern computer automation.

Discover how to turn human language into cron expressions with the help of OpenAI's powerful model, text-davinci-003. This project provides a simple and intuitive way for developers to translate plain text commands into cron syntax, making job scheduling more accessible. Start by creating an OpenAI account to obtain your API key, store it securely, install dependencies, and launch the server locally to effortlessly generate cron expressions. Perfect for developers aiming to automate tasks and enhance workflow through AI.

Explore TerminalGPT, a terminal-based assistant utilizing GPT-3.5 and GPT-4 for uninterrupted AI interactions without browser reliance. Benefit from expedited responses, local conversation storage, and IDE terminal integration for system-specific answers. Quickly install with pip and set up with an OpenAI API key, offering secure and personalized experiences for developers seeking efficient solutions for complex queries without contributing conversational data for model training.

Discover Stability API's flexible client implementations, supporting languages like Python for smooth integration. The package provides easy installation via PyPI, command line versatility, and features for image generation, upscaling, and animation UI. Extensive documentation and community-contributed clients in multiple languages enhance its adaptability for developers.

The Golang client's integration with AI facilitates smooth interactions using the GPT API by OpenAI. Installation is simple with Go, allowing easy incorporation into console environments. The project welcomes contributions under an MIT license, promoting an open and collaborative community.

Discover effortless communication with OpenAI’s language model via a cross-platform Flutter app. This app offers real-time responses, a sleek interface, and supports API key storage, enhancing user interaction. Installation is straightforward, making it accessible for tech enthusiasts pursuing an efficient and engaging chat application.

Explore a demonstration of the high-efficiency Flux Schnell API. Created by fal.ai, this application illustrates the functionality of the `fal.realtime` client, providing a streamlined real-time experience. It necessitates a Fal AI API key and offers a clear setup guide. Enhance project capabilities with seamless real-time data integration using advanced API techniques.

This tool transforms text into visually appealing charts in seconds, streamlining data visualization. Using advanced APIs, it offers a straightforward setup and coding environment. Integrations with services such as Supabase, Stripe, and NextAuth enhance its capabilities. Open to developer contributions for ongoing enhancements.