PromptLayer
The first platform built for prompt engineers. Log OpenAI requests, search usage history, track performance, and visually manage prompt templates. manage Never forget that one good prompt. GPT in prod, done right. Trusted by over 1,000 engineers to version prompts and monitor API usage. Start using your prompts in production. To get started, create an account by clicking “log in” on PromptLayer. Once logged in, click the button to create an API key and save this in a secure location. After making your first few requests, you should be able to see them in the PromptLayer dashboard! You can use PromptLayer with LangChain. LangChain is a popular Python library aimed at assisting in the development of LLM applications. It provides a lot of helpful features like chains, agents, and memory. Right now, the primary way to access PromptLayer is through our Python wrapper library that can be installed with pip.
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EchoStash
EchoStash is a personal AI-driven prompt management platform that lets you save, organize, search, and reuse your best AI prompts across multiple models with an intelligent search engine. It comes with official prompt libraries curated from leading AI providers (Anthropic, OpenAI, Cursor, and more), starter playbooks for users new to prompt engineering, and AI-powered search that understands your intent to surface the most relevant prompts without requiring exact keyword matches. The streamlined onboarding and user interface ensure a frictionless experience, while tagging and categorization features help you maintain structured libraries. A community prompt library is also in development to share and discover tested prompts. Designed to eliminate the need to reconstruct successful prompts and to deliver consistent, high-quality outputs, EchoStash accelerates workflows for anyone working heavily with generative AI.
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Prompt Refine
Prompt Refine helps you run better prompt experiments. Small changes to a prompt can lead to very different results. With Prompt Refine you can run and iterate on prompts. Every time you run a prompt, it gets added to your history. There, you can see all the details from previous runs, with highlighted diffs. Organize your prompts into prompt groups and share them with friends and coworkers. When you're done testing, export your prompt runs into a CSV for further analysis. With Prompt Refine, you can also design generative prompts that guide users in formulating concise and specific prompts, enabling more meaningful interactions with AI models. Enhance your prompt interactions and unleash the full potential of AI with Prompt Refine today.
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PingPrompt
PingPrompt is a specialized AI prompt management platform that centralizes the storage, editing, version control, testing, and iteration of prompts used with large language models, helping users treat prompts as reusable, improvable assets rather than disposable text buried in chat histories or scattered files. It provides a centralized workspace where every prompt edit is tracked with automated version history and visual diff comparisons, so users can see exactly what changed, when, and why, roll back to earlier versions, and maintain a clear audit trail while refining prompt quality over time. An inline copilot assists with targeted edits without overwriting entire prompts, and a multi-LLM testing playground lets users connect their own API keys to run the same prompt across different models and parameter settings to compare outputs, measure metrics like latency and token usage, and validate improvements before deployment.
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