PromptLayer

What is PromptLayer?

PromptLayer is a middleware tool that sits between applications and large language models (LLMs) such as OpenAI's GPT, enabling developers to monitor and improve their AI prompt engineering. Its mission is to provide transparency and control over LLM usage, helping teams build more reliable and efficient AI-powered applications. By logging API calls, attaching metadata, and offering evaluation tools, it solves problems related to debugging prompts, managing costs, and scaling AI integrations. The platform serves software engineers, AI researchers, and product teams by turning opaque LLM interactions into actionable insights. Ultimately, PromptLayer aims to make prompt engineering a more scientific and collaborative process.

PromptLayer's Core Features

• Request tracking allows users to log all LLM API calls, providing a complete history for debugging and analysis.

• Prompt templates enable the creation and management of reusable prompts to streamline development workflows.

• Metadata attachment lets developers add custom tags and notes to requests for better organization and searchability.

• Prompt evaluation tools help score and compare different prompts to optimize performance and outputs.

• Analytics dashboards offer insights into usage patterns, costs, and success rates of LLM interactions.

• Version control for prompts ensures teams can iterate and rollback changes collaboratively.

• Integration with popular LLM providers like OpenAI and Anthropic simplifies setup and compatibility.

• Searchable request history allows quick retrieval of past interactions for review or reuse.

• Cost monitoring features track spending on API calls to prevent budget overruns.

• Team collaboration tools support sharing prompts and insights across users.

• Custom scoring functions enable tailored evaluation metrics for specific use cases.