PromptLayer is an advanced platform crafted for prompt engineers and AI developers to efficiently manage, collaborate, and evaluate AI prompts. It enables users to build sophisticated AI applications by providing tools to track, manage, and share GPT prompt engineering. Acting as a middleware between your code and OpenAI's APIs, it offers a visual interface to log LLM requests, search usage history, and facilitate collaborative feedback. PromptLayer helps ensure data-driven prompt engineering with enhanced observability and version control.

Deerflow provides a visual interface where users can assemble AI workflows from modular components—input processors, LLM or model executors, conditional logic, and output handlers. Out of the box connectors allow you to pull data from databases, APIs, or document stores, then pass results through one or more AI models in sequence. Built-in tools handle logging, error recovery, and metric tracking. Once configured, workflows can be tested interactively and deployed as REST endpoints or event-driven triggers. A dashboard gives real-time insights, version history, alerts, and team collaboration features, making it simple to iterate, scale, and maintain AI agents in production.

BasicPrompt is a platform designed to streamline the process of building, versioning, and deploying prompts. It ensures that prompts are compatible with every model, allowing you to test and refine them quickly. The platform offers various tools to improve prompt engineering efficiency, from inception to deployment. With BasicPrompt, users get a faster, more reliable way to work with AI models, ensuring optimal performance and results.