Langfuse is an open-source LLM engineering platform that provides observability, tracing, evaluations, a prompt management system, a playground, and metrics to debug and improve LLM apps. It works with any model or framework by exporting all data and automatically running evaluations against new incoming traces. Moreover, cost, latency, and quality dashboards are offered by Langfuse, where versioning and deployment of prompts are also allowed. In addition to this, the GET API is opened along with CSV and JSON exports for downstream use cases.
What is Langfuse?
Langfuse, an open-source LLM engineering platform provides observability, tracing, evaluations, prompt management, and metrics to debug and improve LLM applications. It is model- and framework-agnostic. Langfuse has dashboards,analytics and it allows data export.
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What are the key features of Langfuse?
- Observability.
- Integrations.
- Langfuse UI.
- Prompt management.
- Prompt engineering.
- Analytics.
- Evals.
- Experiments.
- Open-source.
- Incrementally adoptable.
- Tags.
- Trace URL.
Langfuse 2.0 – Open Source LLM Engineering Platform (Source : Youtube Channel : Langfuse)
Langfuse Integrations
- Python SDK
- JS/TS SDK
- OpenAI SDK
- Langchain
- Llama-Index
- Litellm
- Flowise
- Langflow
- API
What are the use cases of Langfuse?
- Capture API calls, context, prompts, parallelism.
- Track model usage and cost.
- Identify low-quality outputs.
- Collect user feedback.
- Build fine-tuning and testing datasets.
- Deploy new prompts without redeploying applications.
- Allows non-technical users to create and update prompts.
- Quickly rollback to previous prompt versions.
- Displays quick overview on traces.
- Segment execution traces by scores.
- Provides detailed score reporting.
- Drills down into use cases and user segments.
How much does Langfuse cost?
- Langfuse offers both free and paid plans.
- The Langfuse Pro plan costs $59 per month.
- The Langfuse Team plan starts at $499.
The detailed pricing for Langfuse is as follows:
Hobby Plan
- Free
- No credit card required
- All platform features
- 50k observations/month included
- Community support (Discord & GitHub)
Pro Plan
- $59 USD/Month
- 100k observations/month included
- Additional observations: $10/100k
- Unlimited data access
- Unlimited users
- Dedicated support
Team Plan
- Starts at $499
- Unlimited ingestion throughput
- Support SLAs
- SSO enforcement and custom roles
- Additional security and compliance features
What are the pros and cons of Langfuse?
Pros of Langfuse
- Open-sourced.
- Custom integrations.
- SDKs for Javascript and Python.
- Decoupling.
- Quickly rollback previous versions of prompts.
- Quality.
- Security.
- Track cost, quality and latency.
- Unlimited data access.
- Self-hosting.
- Easy to run locally.
- LLM playground.
Cons of Langfuse
- Cost.
- Learning curve.
- Technical dependence.
Langfuse pricing
- The Langfuse pricing plans starts from $59 per month.
Review & Ratings of Langfuse
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Langfuse FAQ's
Helps debug, test, and improve LLM applications.
Yes, it works with different LLM models and frameworks.
It tracks how LLMs work, lets you manage prompts, and offers data export.
Yes, it integrates with Python, Javascript, and other LLM tools.
LLM calls, user input, prompts, and performance.
Yes, it can track LLM usage costs.
Yes, it can help identify low-quality outputs from LLMs.
Yes, it can help collect data for training LLMs.
Yes, you can deploy new prompts without affecting your application.
It might have a learning curve for non-technical users.
Summary
Langfuse is an exceptional LLM engineering platform offering a comprehensive suite of tools, robust security, and competitive pricing. Its strengths make it an ideal choice for LLM developers, researchers, and businesses. However, its learning curve and limited support for non-technical users may pose challenges.
