Doppel.com
ZeroFOX
DoppelDown
AgentProxy.au
Bolster
Knowbe4
MPS-Agentic by StrategicPromptArchitect
phishield
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Braintrust.dev
Portkey
Openlayer
Our AI-native platform unifies threat intelligence, automates takedowns, simulates attacks, and trains employees against todayโs most sophisticated multi-channel deception campaigns.
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.
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AI-native platform unifies threat intelligence, automates takedowns, simulates attacks, and trains employees against todayโs most sophisticated multi-channel deception campaigns.
Based on our record, Langfuse seems to be more popular. It has been mentiond 28 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.
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 / about 1 month 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 / 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 / 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 / 3 months ago
ZeroFOX - ZeroFOX is a social risk management tool that enables organizations to identify, manage and mitigate social media based cyber threats.
Helicone AI - Open-source LLM Observability for Developers
DoppelDown - AI-powered detection of fake domains, phishing sites & brand impostors. Free tier included. Results in minutes, not weeks.
LangSmith - Build and deploy LLM applications with confidence
AgentProxy.au - Free, self-hosted AI security gateway. PII redaction, prompt injection defense, full audit logging. Built for Australian regulated industries. Deploy in minutes with Docker.
LangChain - Framework for building applications with LLMs through composability