PromptLayer
PromptLayer is a developer tool that helps you track, manage, and debug prompts when building applications with Large Language Models (LLMs) like OpenAI's GPT, Anthropic's Claude, and others.
Think of it as a “Version Control + Analytics for Prompts.”
🎯 Why PromptLayer?
When building apps with LLMs, your prompts are the heart of the system. But:
How do you track which prompts work best?
What was the exact prompt used for a successful output?
How can you compare performance across changes?
That’s where PromptLayer helps — it logs every prompt, every response, and every version so you can improve and monitor your LLM app like a pro.
🔑 Key Features
Prompt Logging
Automatically logs every prompt + response (like a database of interactions)
Prompt Versioning
Tracks changes to prompts over time, just like Git for code
Dashboard UI
Visual interface to explore, search, and filter prompt logs
Prompt Comparison
A/B test different prompts and see which performs better
API & SDK
Easy integration with Python, OpenAI, and LangChain workflows
🔧 How Developers Use PromptLayer
Build a log of all LLM interactions
Debug incorrect or hallucinated outputs
Track the impact of prompt edits over time
Collaborate with teams on prompt engineering
Run prompt experiments and A/B tests in production
🚀 Integration Options
PromptLayer works seamlessly with:
OpenAI API (plug-and-play)
LangChain (via official PromptLayer wrapper)
Python SDK (for manual or automated logging)
📦 Is It Free?
Free tier available for hobbyists and testing
Paid plans available for larger teams, production usage, and enterprise logging
🧠 Summary
PromptLayer = Prompt analytics + versioning
Helps you build, track, debug, and improve LLM apps
Ideal for developers, startups, and teams doing prompt engineering at scale
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