Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Braintrust.dev
Portkey
Openlayer
Akia
HiJiffy
Quicktext
Kipsu
AI Bot Builder
AI Chat SMS
bellboy
ChatPalBot
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
Langfuse AkiaNo features have been listed yet.
Based on our record, Langfuse seems to be a lot more popular than Akia. While we know about 28 links to Langfuse, we've tracked only 2 mentions of Akia. 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.
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / about 1 month ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / about 2 months ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / 2 months ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / 2 months ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / 3 months ago
Hi HN! We're Evan and Yinshi from Akia (https://akia.com). We've built a customer engagement platform that specializes in the building and distribution of Mini Apps-- apps (if you will) that don't require download or login. You can send one yourself (this is a relatively naive example):. - Source: Hacker News / over 4 years ago
We integrate into dozens of different PMS if you want to shoot us a message: https://akia.com. Source: about 5 years ago
Helicone AI - Open-source LLM Observability for Developers
HiJiffy - AI-powered hotel chatbot and a one-stop platform for all your communication channels to increase customer satisfaction
LangSmith - Build and deploy LLM applications with confidence
Quicktext - Quicktext is an extension for Thunderbird that lets you create templates that can be easily inserted into your own emails.
LangChain - Framework for building applications with LLMs through composability
Kipsu - Kipsu allows service leaders to leverage texting and other digital conversation channels to deepen their customer relationships in a way never achieved before. Kipsu specializes in hotels, shopping, and healthcare.
