
Tasker
Automate
AutomateIt
ifttt
Trigger
MacroDroid
LIama
SmartDesk
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
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.
Tasker
LangfuseTasker might be a bit more popular than Langfuse. We know about 31 links to it since March 2021 and only 30 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.
Not to be confused with https://tasker.joaoapps.com/, which has been around just about as long as Android has. - Source: Hacker News / 8 months ago
I have seen many videos where people use the Tasker app for automation. How is this different from Termux:Tasker app? Source: almost 3 years ago
Have a look at Tasker it's a fantastic tool for automation, it does have a bit of a learning curve but nothing to steep. Source: about 3 years ago
For me that's Tasker. I've installed it on every phone I've owned since my Nexus 4 in 2013. Currently I use it to:. Source: about 3 years ago
Depends upon the phone. On Samsung it would be a routine. On others something like tasker. Source: over 3 years ago
Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 4 days ago
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 16 days 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 / about 2 months 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 / 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 / 3 months ago
Automate - Automate various tasks on your Android smartphone or tablet.
Helicone AI - Open-source LLM Observability for Developers
AutomateIt - Automate Your Android!
LangSmith - Build and deploy LLM applications with confidence
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
LangChain - Framework for building applications with LLMs through composability