Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Braintrust.dev
Portkey
Openlayer
DocsCloud
DocMadeEasy
PDF Assistant
PdfHighlights
PDFelement Pro
PDF Annotator
FlexiPDF
Kami App
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.
DocsCloud helps you create web forms, generate filled documents, get the documents signed & publish documents on almost anything. With DocsCloud: 1. The users can create online forms with conditional logic & customization. The forms can be used directly or embed them in your business applications. 2. The DocTemplate module allows users to generate the filled business documents, either by mapping them with the Form Builder or using the third-party integration. 3. Use DocSignature to send, track & manage (along with the audit trail) the documents for esignatures. You can define the sending sequence i.e. sending the document to all recipients at once or in a sequence. 4. DocShare allows you to host documents about everything from product docs to knowledge bases, help books, faqs & policies.
Langfuse
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Based on our record, Langfuse seems to be more popular. It has been mentiond 29 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.
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 / 6 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 1 month 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 / 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 / 2 months ago
Helicone AI - Open-source LLM Observability for Developers
DocMadeEasy - Edit and sign PDF. Send files safely and securely using end-to-end encryption with 256-bit AES. PDF document management and conversion.
LangSmith - Build and deploy LLM applications with confidence
PDF Assistant - PDF Assistant - simple in use application, that let you easily interact with any pdf file.
LangChain - Framework for building applications with LLMs through composability
PdfHighlights - PdfHighlights extracts and exports all your PDF highlights and PDF annotations from all your PDF files into a single report.