
Langfuse
Helicone AI
LangSmith
LangChain
Braintrust.dev
Openlayer
Portkey
LastMile AI
Rocketgraph
PBXDom
Slaask
AppOnboard
Cult of the Party Parrot
Slack Poker Bot
BotPages
Text/Turner
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
RocketgraphBased on our record, Langfuse should be more popular than Rocketgraph. 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 / 25 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 / about 1 month 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 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 / about 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 / 2 months ago
Just a quick background about us. Rocketgraph lets developers build web applications in minutes. We do this by providing:. - Source: dev.to / over 2 years ago
For an easier and robust deployment of Postgres instances, checkout Rocketgraph. - Source: dev.to / over 2 years ago
This looks great:) > Use https://rocketgraph.io/ And setup a project. What will the price and terms be? - Source: Hacker News / almost 3 years ago
Hey HN, Some of you were really interested in Postgres logging with pgAudit in my previous post here: https://news.ycombinator.com/item?id=37082827 using pgAudit to show you what can be done with Postgres auditing. It offers some powerful features like "get me all the CREATE queries that ran in the past hour". These are generated by AWS RDS Instance running on my Rocketgraph account. Then they are forwarded to... - Source: Hacker News / almost 3 years ago
Please show some support by checking out https://rocketgraph.io/ and give your feedback here. Source: almost 3 years ago
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