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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

Literal AI is a collaborative platform crafted to support engineering and product teams in the creation of production-ready Large Language Model (LLM) applications. It features an array of tools focused on observability, evaluation, and analytics, which allows for efficient monitoring, optimization, and integration of different prompt versions. Among its noteworthy functionalities are multimodal logging, which incorporates vision, audio, and video, as well as prompt management that includes versioning and A/B testing features. Additionally, it offers a prompt playground that allows users to experiment with various LLM providers and configurations. Literal AI is designed to integrate effortlessly with a variety of LLM providers and AI frameworks, including OpenAI, LangChain, and LlamaIndex, and comes equipped with SDKs in both Python and TypeScript for straightforward code instrumentation. The platform further facilitates the development of experiments against datasets, promoting ongoing enhancements and minimizing the risk of regressions in LLM applications. With these capabilities, teams can not only streamline their workflows but also foster innovation and ensure high-quality outputs in their projects.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
Hugging Face Yes 
LangChain Yes 
LlamaIndex Yes 
OpenAI Yes 
Amazon Web Services (AWS) No 
Codestral Mamba No 
Gemini No 
Gemini 1.5 Flash No 
Gemini Pro No 
Google AI Plus No 
Groq No 
Lamatic.ai Yes 
Ministral 3B No 
Mistral Large No 
Mistral NeMo No 
Mistral Small No 
Netguru Omega Yes 
Pixtral Large No 
Workers by Delos Yes 

Integrations

Claude Yes 
Hugging Face Yes 
LangChain Yes 
LlamaIndex Yes 
OpenAI Yes 
Amazon Web Services (AWS) Yes 
Codestral Mamba Yes 
Gemini Yes 
Gemini 1.5 Flash Yes 
Gemini Pro Yes 
Google AI Plus Yes 
Groq Yes 
Lamatic.ai No 
Ministral 3B Yes 
Mistral Large Yes 
Mistral NeMo Yes 
Mistral Small Yes 
Netguru Omega No 
Pixtral Large Yes 
Workers by Delos 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.
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises No 
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) Yes 
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

Literal AI

Country

United States

Website

www.literalai.com

Alternatives

Alternatives

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