Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
Tomato Timer
focus booster
Pomello
YAPA
Tasklog App
Pomidorus
Pypomo
Pomodairo
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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Tomato Timer might be a bit more popular than Langfuse. We know about 31 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.
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 / 10 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 / 29 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
I use: tomato-timer.com, and I use the basic 25/5 or 25/10 for a longer rest. I set the bell tone I want and tell it to go continuously (that's "auto start" under settings). I get myself ready, close out wasting time tabs, open my document, make sure I have my water by my side, and press "start." Then I do my 5 or 6 sprints and usually am done for the day. Source: about 3 years ago
There is a "Tomato Timer". [1] Looks like it was bought recently. [1] https://tomato-timer.com/. - Source: Hacker News / over 3 years ago
Adderall and https://tomato-timer.com/ . Source: over 4 years ago
Here this might help you https://tomato-timer.com/. Source: over 4 years ago
Hereโs a website with a timer too in case you donโt wanna use an app. Source: over 4 years ago
Helicone AI - Open-source LLM Observability for Developers
focus booster - focus booster is a simple timer application following the 'Pomodoro technique' for time...
LangSmith - Build and deploy LLM applications with confidence
Pomello - Pomello turns your Trello cards into Pomodoroยฎ tasks.
LangChain - Framework for building applications with LLMs through composability
YAPA - Pomodoro timer