Langfuse
Langfuse is an open-source LLM engineering platform: tracing, prompt management, evaluations, and monitoring for AI apps and agents.
freemiumRated 4.5/5Growing
Why people pick it
LLM observability: traces, evals, and why your agent went rogue.
Pricing snapshot
freemium
Free tier + paid cloud; self-host option
Cloud pricing is usage-based with base plan tiers.
Best fit
Trace LLM calls
Evaluate outputs
Debug agents
Choose Langfuse if you need
Trace LLM calls
Evaluate outputs
Debug agents
Monitor costs
A/B test prompts
What Langfuse does well
Great visibility
Self-hostable option
Team workflows
Makes issues reproducible
Where it can fall short
Setup overhead
Evals still require good design
Learning curve for teams new to observability
Alternatives
FAQ
What is Langfuse best for?
Langfuse is strongest for Trace LLM calls, Evaluate outputs, Debug agents.
Who should consider Langfuse?
Langfuse fits teams that value Great visibility and Self-hostable option more than Setup overhead.
What should you watch before choosing Langfuse?
Setup overhead. Evals still require good design. Learning curve for teams new to observability
Appears in collections
Developer AI Stack (Lite, Practical)
A focused set of tools and prompts that reduce time-to-fix and time-to-ship, without turning your brain into a checklist.
Debugging Workflow (Systematic, Not Random)
Stop guessing. Find the bug, fix it properly, and prevent it from coming back.
Performance Optimization Workflow (Measure, Fix, Verify)
Make things faster through data, not guessing. Profile, optimize, benchmark.
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