Langfuse
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Open source LLM engineering platform for observability, prompt management, evaluation, and metrics
What is Langfuse?
Langfuse is a platform that provides tracing, prompt versioning, evaluation, dataset creation, and analytics for LLM applications, with SDKs, integrations, and a UI for end‑to‑end observability.
Key Features
Detailed production tracing for fast debugging
Collaborative prompt versioning and low‑latency retrieval
Playground for side‑by‑side prompt testing
Evaluation framework with user feedback annotation and dataset generation
Metrics dashboard for cost, latency, and quality monitoring
Native integrations for Python, JS/TS, LangChain, LlamaIndex, CrewAI, LiteLLM, and many more
OpenTelemetry support
Self‑hosting option and open‑source codebase
SOC 2 Type II, ISO 27001, GDPR, HIPAA‑aligned security certifications
Who Will Use Langfuse?
LLM application developersAI product teamsData scientists building generative AI pipelinesMachine learning engineersEnterprises needing LLM monitoring and compliance
How to Use Langfuse
- 1Install the Python or TypeScript SDK (or use OpenTelemetry) in your LLM app.
- 2Send traces, prompts, and evaluation data to Langfuse via the SDK or API.
- 3Use the Langfuse UI to view detailed production traces, manage prompt versions, run evaluations, and monitor metrics such as cost and latency.
- 4Create datasets from production data for fine‑tuning or testing.
- 5Optionally self‑host the platform via Docker Compose for on‑premise deployments.
Pros & Cons
Pros
- Fully open‑source with self‑hosting capability
- Broad ecosystem of SDKs and integrations
- Rich UI covering tracing, prompt management, evaluation, and analytics
- Free Hobby tier for small projects and proofs of concept
- Enterprise‑grade security certifications
- Active community and responsive support via GitHub and Discord
Cons
- Free tier has limited monthly units and data retention
- Advanced features and higher limits require paid plans
- Effective use requires familiarity with LLM development workflows
Pricing
Pricing:Paid
Free plan available
Starts from:$29/month
Hobby
Free
- All platform features with usage limits
- 50 k units / month
- 30 days data access
- 2 users
- Community support via GitHub
Core
$29 / month
- Everything in Hobby
- 100 k units / month (additional $8 per 100 k)
- 90 days data access
- Unlimited users
- In‑app support
Pro
$199 / month
- Everything in Core
- Unlimited data access
- Unlimited annotation queues
- High rate limits
- SOC 2 & ISO 27001 reports, BAA available
- Prioritized in‑app support
Enterprise
Custom
- Everything in Pro plus Teams add‑on
- Custom rate limits and SLA
- Dedicated support engineer
- Architecture reviews
- Billing via AWS Marketplace or invoice
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