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Description
Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications.
Observability: Incorporate Langfuse into your app to start ingesting traces.
Langfuse UI : inspect and debug complex logs, user sessions and user sessions
Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse
Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports
Evals: Calculate and collect scores for your LLM completions
Experiments: Track app behavior and test it before deploying new versions
Why Langfuse?
- Open source
- Models and frameworks are agnostic
- Built for production
- Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents
- Use GET to create downstream use cases and export the data
Description
Traceloop is an all-encompassing observability platform tailored for the monitoring, debugging, and quality assessment of outputs generated by Large Language Models (LLMs). It features real-time notifications for any unexpected variations in output quality and provides execution tracing for each request, allowing for gradual implementation of changes to models and prompts. Developers can effectively troubleshoot and re-execute production issues directly within their Integrated Development Environment (IDE), streamlining the debugging process. The platform is designed to integrate smoothly with the OpenLLMetry SDK and supports a variety of programming languages, including Python, JavaScript/TypeScript, Go, and Ruby. To evaluate LLM outputs comprehensively, Traceloop offers an extensive array of metrics that encompass semantic, syntactic, safety, and structural dimensions. These metrics include QA relevance, faithfulness, overall text quality, grammatical accuracy, redundancy detection, focus evaluation, text length, word count, and the identification of sensitive information such as Personally Identifiable Information (PII), secrets, and toxic content. Additionally, it provides capabilities for validation through regex, SQL, and JSON schema, as well as code validation, ensuring a robust framework for the assessment of model performance. With such a diverse toolkit, Traceloop enhances the reliability and effectiveness of LLM outputs significantly.
API Access
Has API
Yes
API Access
Has API
No
Integrations
LiteLLM
Yes
Amazon Web Services (AWS)
No
Claude
Yes
Dograh
Yes
Go
No
Hugging Face
Yes
JavaScript
No
Lamatic.ai
Yes
LangChain
Yes
LlamaIndex
Yes
Integrations
LiteLLM
Yes
Amazon Web Services (AWS)
Yes
Claude
No
Dograh
No
Go
Yes
Hugging Face
No
JavaScript
Yes
Lamatic.ai
No
LangChain
No
LlamaIndex
No
Pricing Details
$29/month
Generous free tier and Pro Plans starting at USD 29/month.
Langfuse is open source so you will always be able to host the software yourself at no cost.
Langfuse is open source so you will always be able to host the software yourself at no cost.
Free Trial
Yes
Free Version
Yes
Pricing Details
$59 per month
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Langfuse
Founded
2023
Country
Germany
Website
langfuse.com
Vendor Details
Company Name
Traceloop
Founded
2022
Country
Israel
Website
www.traceloop.com