Langfuse
If you run LLM features in production, Langfuse helps you track prompts, outputs, latency, cost, and regressions.
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LLM observability in production
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Overview
If you run LLM features in production, Langfuse helps you track prompts, outputs, latency, cost, and regressions.
Practical use cases
Use Langfuse for llm observability in production when you want a focused tool instead of a generic AI assistant.
Compare it against other Dev and LLM Ops tools before committing to a paid plan.
Start with the main workflow: makes llm systems debuggable.
✅ Pros
- +Essential for debugging LLM apps
❌ Cons
- −Requires naming conventions
Pricing
- ✓Full features
- ✓Priority support
- ✓Advanced tools
Questions to ask before choosing Langfuse
Buyer checklist- Does the current plan include the features, usage limits, and exports your workflow needs?
- Can you verify the output quality with your own content, brand rules, and compliance requirements?
- Are the related tools below a better fit for your category, budget, or team size?