
PromptLayer
Langfuse
Helicone AI
PromptHub
LangSmith
Acrux Core
PromptRails.ai
Opsmeter
OverGroups
Overgroups connects to your stripe account and automatically ejects users who no longer have an active subscription.
PromptLayer
OverGroupsNo OverGroups videos yet. You could help us improve this page by suggesting one.
OverGroups might be a bit more popular than PromptLayer. We know about 1 link to it since March 2021 and only 1 link to PromptLayer. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Looks nice, and it's nice that it also supports function call simulation. I've been collecting a list of tools for prompt engineering, I've added Knit now. Newly added: https://promptknit.com/ Newly added: https://github.com/promptfoo/promptfoo https://promptable.ai/ https://github.com/ianarawjo/ChainForge https://promptknit.com/ https://promptrefine.com/ https://www.vellum.ai/ https://www.everyprompt.com/... - Source: Hacker News / about 3 years ago
Another option, if you are already using Stripe in your project, is Overgroups. Allows you to connect the Stripe payment system with Telegram and have automatic control over who has access to your private Telegram group or channel. Source: over 4 years ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Helicone AI - Open-source LLM Observability for Developers
PromptHub - Test, deploy, and manage your prompts with PromptHub, a prompt management tool designed to be usable by your whole team, not just engineers.
LangSmith - Build and deploy LLM applications with confidence
Acrux Core - Version prompts, route LLM calls, trace and evaluate โ one platform. Ship, change, and measure LLM features without redeploying to move a prompt.
PromptRails.ai - The orchestration platform that turns prompts, agents, and workflows into versioned, testable, observable production systems.