Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
Xposed Framework
APK Editor Studio
APK Studio
JADX
Apktool
ShowJava
APKInspector
TTDeDroid
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
Xposed FrameworkBased on our record, Langfuse seems to be a lot more popular than Xposed Framework. While we know about 28 links to Langfuse, we've tracked only 1 mention of Xposed Framework. 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 / 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
Download Xposed installer from official website for your android version. - Source: dev.to / almost 4 years ago
There are many modules on Xposed repose https://repo.xposed.info/ which can be used in your case to spoof your device... But to keep things simple, we will use LSPosed repo modules. Open LSPosed.. Select the repo and search for Android Faker and XPrivacyLua. (only 1 will be used) Install and activate both of them then click on 1 of them and search for cash app and mark it... Do the same with the second module as... Source: over 4 years ago
Helicone AI - Open-source LLM Observability for Developers
APK Editor Studio - APK Editor Studio is an open-source Android application editor that allows you to edit APKs with the help of reverse engineering.
LangSmith - Build and deploy LLM applications with confidence
APK Studio - APK Studio is an open-source Integrated Development Environment that allows you to recompile and decompile Android applications with its unified interface.
LangChain - Framework for building applications with LLMs through composability
JADX - JADX is a decompilation tool that can produce Java Source code from Dex and Apk files, being capable of providing human-readable java classes, it reverses AndroidManifest.