Langfuse Reviews

TinyURL Reviews

Langfuse mentions (28)

• Strands Agents + Langfuse Evaluations

  In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse — step by step. - Source: dev.to / 13 days ago

• Best AI Monitoring Tools in 2026: LLM, Agent, and MCP Observability Compared

  Langfuse is the open-source standard for LLM observability. It traces every LLM interaction — prompts, completions, latency, token usage, cost — 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 1 month ago

• What is an LLM evaluation harness? A deep dive into lm-eval-harness

  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

• How to track LLM costs per customer in production

  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

• Per-user cost attribution for your AI APP

  Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline — the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago

TinyURL mentions (6)

• 🔐 Design a TinyURL System (Like Bit.ly) — From Scratch

  Import string Class TinyURL: def __init__(self): self.url_to_code = {} self.code_to_url = {} self.counter = 1 self.alphabet = string.ascii_letters + string.digits def encode_base62(self, num): base = 62 chars = [] while num > 0: num, rem = divmod(num, base) chars.append(self.alphabet[rem]) return... - Source: dev.to / about 1 year ago

• URL shorteners and why would you need one?

  Choose a shortener: Pick a link shortener that fits your needs---many offer options like custom branding, QR code creation, and analytics. Ziplink, Short.io, and Bitly are all capable of that. If you are looking for something really simple, you may want to check out TinyURL as well. - Source: dev.to / over 1 year ago

• Building a Scalable URL Shortener with Node.js (Part 1/2)

  I'm sure you're familiar with URL shortener tools like TinyURL and Bitly, as they are widely used online. It simply takes a long URL and creates a shorter, unique alias that redirects to the original link. - Source: dev.to / almost 2 years ago

• More "J3w World Order" disinfo spread online

  u/Migmag360 The reason your post cannot be posted and/or approved by us is because it contains a Bitchute link--which reddit bans. You have to mask the link using TinyURL. And then re-post it again with the new link instead. Source: over 3 years ago

• Does the Atomic Bomb exist? Part 2

  u/fedx0 I have approved this post, the reason it's still banned by Reddit is because of the Bitchute links, you cannot post Bitchute links on Reddit. If you remove the links to Bitchute, or disguise the Bitchute links using TinyUrl and re-post the article, then it should be fine. If not then you will have to post the article somewhere else, then post the link to it on here instead. Source: almost 4 years ago