Langfuse

Langfuse is an open-source platform for watching and improving your AI apps. It tracks every LLM call your app makes, showing costs, speed, and quality. You can see exactly what prompts went in and what came out. Teams use it to debug bad answers and find where money is wasted. The dashboards make it easy to spot trends over time. It helps you ship AI features with confidence, not guesswork. You self-host it or use their cloud, your choice.

Key Features

1. LLM Tracking

Log every model call with inputs, outputs, and costs. You see exactly what your AI is doing.

2. Cost Control

Track spending by model, user, or feature. Spot expensive calls before the bill surprises you.

3. Quality Scores

Rate outputs and watch quality trends over time. You know when your AI gets better or worse.

4. Prompt Testing

Test prompt changes against real past data. Ship improvements with proof they work better than before.

5. Open Source

Self-host for free with full data control. Your AI data never has to leave your servers.

Frequently Asked Questions (FAQ)

What is Langfuse?

Langfuse tracks and improves LLM apps. It logs calls, costs, and quality so you can debug and optimize.

Is Langfuse free?

The core is open source and free to self-host. Cloud plans exist if you prefer managed hosting.

What does it track?

Prompts, outputs, costs, latency, and quality scores. Everything you need to understand your AI's behavior.

Can I self-host it?

Yes. Run it on your own servers with Docker. You keep full control of your data.

Conclusion

Langfuse brings much-needed visibility to your AI applications and their behavior. Tracking plus cost control stops blind spending on API calls. Quality tools help you improve with real data, not guesses. It is essential for teams shipping LLM features to users. Try it to understand your AI better. It suits teams that want control of trace data.