
ipstack
ipinfo.io
ipapi
ipgeolocation.io
ipdata.co
IP2Location
ipwhois.io
IP-API.com
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
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.
ipstack
Langfuseipstack might be a bit more popular than Langfuse. We know about 36 links to it since March 2021 and only 28 links to 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.
Services like IPStack or MaxMind provide APIs to programmatically detect and manipulate location data. Integrating these into test scripts allows dynamic region simulation:. - Source: dev.to / 5 months ago
First, ensure you have your Python environment ready. You will need an API key from IPStack (specifically one that supports the security module) and an OpenAI API key (or any LLM provider supported by LangChain). - Source: dev.to / 8 months ago
๐ Explore the most Accurate IP geolocation service at: https://ipstack.com/. - Source: dev.to / 8 months ago
APIs from reputable providers such as ipstack.com offer robust performance, extensive documentation, and real-time accuracy, making them a preferred choice for developers. - Source: dev.to / 9 months ago
IPstack โ Robust API with scalable infrastructure. - Source: dev.to / about 1 year ago
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 / 4 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 / 23 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
ipinfo.io - Simple IP address information.
Helicone AI - Open-source LLM Observability for Developers
ipapi - Web analytics with IP address lookup and location API
LangSmith - Build and deploy LLM applications with confidence
ipgeolocation.io - Free IP Geolocation API and Accurate GeoIP Lookup Location Database
LangChain - Framework for building applications with LLMs through composability