
Helicone AI
Langfuse
LangSmith
Portkey
liteLLM
OpenRouter
LangChain
Eden AI
ipstack
ipinfo.io
ipapi
ipgeolocation.io
ipdata.co
IP2Location
ipwhois.io
IP-API.com
Helicone AI
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Based on our record, ipstack should be more popular than Helicone AI. It has been mentiond 36 times since March 2021. 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.
Helicone takes the simplest possible approach to LLM monitoring: it's a proxy. Change your OpenAI base URL from api.openai.com to oai.helicone.ai, add your Helicone API key as a header, and every LLM request is logged โ latency, tokens, cost, prompts, and completions. No SDK integration, no code changes beyond a URL swap. - Source: dev.to / 24 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
For many teams, especially those starting out or with simpler needs, commercial solutions like Portkey, Helicone, OpenPipe, or LiteLLM Proxy offer off-the-shelf capabilities that cover many common proxy use cases (caching, logging, cost tracking). NeuroLink itself can be seen as an SDK that complements these, allowing you to integrate with them or build similar features on top. - Source: dev.to / 3 months ago
TL;DR: Go with Langfuse if you want open-source and self-hosted. Pick Helicone if you want the fastest setup (2 minutes, no SDK). Stick with LangSmith if your stack already runs on LangChain. And if your org already pays for Datadog, their LLM module slots right in. - Source: dev.to / 4 months ago
Hey HN, we're Justin and Cole, the founders of Helicone (https://helicone.ai) or self-deploy with our new fully open-source helm chart (https://helicone.ai/selfhost). Yet even with detailed traces, probabilistic systems are notoriously hard to debug at scale. So, we released evaluators (either via LLM-as-judge or custom Python evaluators leveraging the CodeSandbox SDK - https://codesandbox.io/docs/sdk/sandboxes).... - Source: Hacker News / over 1 year ago
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
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
ipinfo.io - Simple IP address information.
LangSmith - Build and deploy LLM applications with confidence
ipapi - Web analytics with IP address lookup and location API
Portkey - Build production-grade & reliable AI apps with Portkey
ipgeolocation.io - Free IP Geolocation API and Accurate GeoIP Lookup Location Database