
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
Google
DuckDuckGo
Bing
YouTube
Reddit
StartPage
Yahoo
Qwant
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
GoogleGoogle has been an integral part of my digital life for many years. Its search engine is unparalleled in its ability to fine relevant information quickly and accurately. The user-friendly interface and wide range of services make it a go- to for everything from email to navigation.
Google is the most reliable source for me to find the correct information. Its user-friendly interface and speedy results make searching much easier. From answers to random questions and finding locations, Google has never let me down. Its the first app I turn to when I need information. Highly recommended
Best Search Engine
Based on our record, Google seems to be a lot more popular than Langfuse. While we know about 3766 links to Google, we've tracked only 28 mentions of Langfuse. 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 / 8 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 / 26 days 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 1 month 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 1 month 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 / about 2 months ago
You type google.com into your browser, hit Enter, and the website appears on your screen. - Source: dev.to / 25 days ago
Browser_open โ browser_navigate("https://google.com") โ browser_fill(ref=13, "wmux") โ browser_press_key("Enter") โ browser_screenshot(). - Source: dev.to / about 2 months ago
> open chrome on the shipkit workspace, search "claude opus 4.7", Take a screenshot of the top result, then send it to my email. โบ vm_create(label: "research") โบ browser_open() โบ browser_navigate("https://google.com") โบ browser_snapshot()โ Set-of-Mark applied โบ browser_click_ref("[2]")โ search box, ref 2 โบ browser_type_ref("[2]", "claude opus 4.7") โบ browser_key("Enter") โบ browser_snapshot() โบ... - Source: dev.to / about 2 months ago
Import java.net.URI; Import java.net.http.HttpClient; Import java.net.http.HttpRequest; Import java.net.http.HttpResponse; Import java.io.IOException; Public class HttpTest { public static void main(String[] args) { try { test(); } catch (IOException | InterruptedException e) { e.printStackTrace(); } } public static void test() throws IOException,... - Source: dev.to / 3 months ago
Src="image.jpg" alt="Description"> src="image.jpg" width="200" height="150"> href="https://google.com"> src="image.jpg" alt="Google"> Src - Path of the image Alt - Alternative text. It is shown when the image fails to load. - Source: dev.to / 4 months ago
Helicone AI - Open-source LLM Observability for Developers
DuckDuckGo - The Internet privacy company that empowers you to seamlessly take control of your personal information online, without any tradeoffs.
LangSmith - Build and deploy LLM applications with confidence
Bing - Bing helps you turn information into action, making it faster and easier to go from searching to doing.
LangChain - Framework for building applications with LLMs through composability
YouTube - Our mission is to give everyone a voice and show them the world.