Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
Codeable
Toptal
Upwork
Lemon.io
Unicorn Dev
Fiverr
Cloud Devs
Andela
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
CodeableBased on our record, Langfuse should be more popular than Codeable. 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 / 3 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 / 22 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 1 month ago
I tried signing up to codeable.io recently only to learn that they have temporarily disabled developer applications. Source: over 3 years ago
You can check out https://codeable.io/. Source: over 3 years ago
Yeah, but the freelanchers I got suggested by codeable.io had a fee of over 1000 dollar. I'm just a student and it's for a small recreative project I'm working on as an interest and a challenge. So I'm trying to do it with just the help of the internet. Source: over 4 years ago
That said, one resource I've found to be very helpful is codeable. They vet the developers for you. It's worked great for the type of business I run, where I need people for certain parts of projects, but I'm not a big enough company to actually hire full-time roles. Also, they act as an intermediary for payment- you pay the agreed-upon cost of the work up front, but that money first goes to codeable and payment... Source: over 5 years ago
Helicone AI - Open-source LLM Observability for Developers
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LangSmith - Build and deploy LLM applications with confidence
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LangChain - Framework for building applications with LLMs through composability
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