Langfuse
Helicone AI
LangSmith
LangChain
Braintrust.dev
Openlayer
PromptLayer
Portkey
Gumstack
Daily.co for Intercom
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.
Gumstack makes it easy to have Face-to-face conversations with customers on your website. No coding required, you can integrate Gumstack in under 5 minutes on any website or part of the website. It is built to seamlessly work across browsers and devices.
Thereโs more - you can invite your team members and route calls to them, or let your customers schedule calls when youโre not around. Office hours, team calendars, notifications - weโve got many aspects covered as we launch this.
We are live on our website, to help people see how easy it is to connect. We welcome people to come to http://gumstack.com/saas and click on "Talk to us", to see how easy it is to connect with people.
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Based on our record, Langfuse seems to be a lot more popular than Gumstack. While we know about 28 links to Langfuse, we've tracked only 1 mention of Gumstack. 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 / 30 days 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 / about 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 / about 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 / 2 months ago
Hey...I am posting regarding my startup Gumstack. Many a time, we have website visitors, even repeat visitors who come to our site, but drop off, since some of their questions are never answered. And in a world of digital overload, wouldn't it be great to have an easy face to face interaction, that can elevate the conversation and make it more authentic? Source: about 5 years ago
Helicone AI - Open-source LLM Observability for Developers
Daily.co for Intercom - Free video calls & screen shares embedded in Intercom
LangSmith - Build and deploy LLM applications with confidence
LangChain - Framework for building applications with LLMs through composability
Braintrust.dev - Rapidly ship AI without guesswork
Openlayer - Test, fix, and improve your ML models