Langfuse
Updated
About Langfuse
Langfuse is an open source platform for tracing, evaluating, and improving AI agents in production.
Developers and AI engineers use Langfuse to monitor how their AI agents behave, test improvements, and ship higher quality systems. It's built for teams managing chat agents, coding agents, and workflow automation who want to understand and fix issues using real production data.
- Hierarchical traces of every LLM call and tool invocation
- LLM-as-a-judge and heuristic evaluation functions
- Prompt management with one-click deployments and rollbacks
- Side-by-side experiment comparisons
- Human-in-the-loop annotation workflows
Good to know: Langfuse offers a free plan to start, works with any language and framework supporting OpenTel instrumentation, and is open source with self-hosting options including Docker, Kubernetes, and cloud providers.
Key features
- Production tracing: Capture and filter every LLM call by user, session, cost, latency, or custom metadata to understand real behavior.
- Evaluation loop: Run evaluators on production data or experiments, then use results to test and deploy prompt improvements as a team.
- Monitoring dashboards: Track cost, latency, and quality with automated alerts to catch issues early in production.
At a glance
- Category: AI Coding
- Type: Developer platform & DevOps
- Jobs: Build Sites & Apps
- Evidence: Not yet reviewed
- AIME Score: 70 of 100
- Website: langfuse.com
Alternatives to Langfuse
- Postman (AIME Score 81)
- Supabase (AIME Score 72)
- Firebase (AIME Score 71)
- Vercel (AIME Score 69)
- SonarQube (AIME Score 69)
- Hivel (AIME Score 68)
More Developer platform & DevOps tools
Sources: Details checked on the tool’s own website · Researched by AI Made Easy
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