Langfuse

Langfuse is an LLM engineering platform that enables teams to build, debug, and enhance complex Large Language Model applications. It provides a comprehensive suite of tools for tracing, prompt management, evaluation, dataset management, and metrics tracking, with a strong focus on enterprise security.

Key features:
- Detailed Production Traces: Allows developers to debug LLM applications faster by providing detailed traces of production data.
- Prompt Versioning and Deployment: Enables collaborative versioning and deployment of prompts with low latency retrieval.
- Playground: Offers a feature within the Langfuse UI to test different prompts and models.
- User Feedback Collection: Collects user feedback and annotations, and runs evaluation functions within Langfuse.
- Dataset Derivation: Derives datasets from production data to fine-tune models and test LLM applications.
- Metrics Tracking: Tracks cost, latency, and quality metrics to optimize performance.

How it works:
1. Users access the Langfuse web app to manage and debug LLM applications.
2. Developers can view detailed traces to identify and fix issues in their applications.
3. Teams collaborate on versioning and deploying prompts through the platform.
4. Users test different prompts and models in the Playground feature.
5. The system collects feedback and runs evaluations for continuous improvement.
6. Users can derive datasets from production data for model fine-tuning.

Integrations:
Python SDK, JS/TS SDK, OpenAI SDK, Langchain, Llama-Index, LiteLLM, Haystack, Flowise, Langflow, Vercel AI SDK, Superagent, Instructor, Mirascope

Use of AI:
Langfuse integrates with various LLMs and provides tools to manage and optimize their performance. The platform supports models from OpenAI and other popular LLM providers, allowing users to fine-tune and evaluate their applications effectively.

Target users:
- Development teams building and maintaining complex LLM applications
- Enterprises requiring robust security and compliance features
- Researchers needing detailed tracing and evaluation tools for LLMs
- Startups looking for scalable solutions to manage and optimize LLM applications

How to access:
Langfuse is available as a web app, API, and through SDKs for Python and JS/TS. Users can also opt for a self-hosted option to run Langfuse locally or on their own infrastructure for greater control and customization.

Security and Compliance:
Langfuse is SOC 2 Type II and ISO 27001 certified, and GDPR compliant, making it suitable for enterprise use cases with strict security requirements.