Langfuse API
Artificial Intelligence · Utility Tools
Open-source LLM observability, tracing, prompt management, and evaluation platform for AI applications
Langfuse API Highlights
Langfuse API is best for AI engineers, LLM product teams, and companies deploying production generative AI systems
API Key (Public and Secret keys via Basic Auth or Authorization header)
Cloud Free tier: 50,000 observations/month; unlimited when self-hosted
Nigeria
Ghana
KenyaLangfuse is an open-source LLM engineering and observability platform. It allows developers to trace complex LLM calls, log token consumption and latency across nested agentic chains, manage prompt versions collaboratively in production, capture user feedback (thumbs up/down), and run evaluation pipelines.
For Nigerian engineering teams and startups developing generative AI chatbots, customer support copilots, and autonomous agents, Langfuse provides deep visibility into LLM error rates, latency spikes, and OpenAI/Anthropic token expenditure.
Langfuse API Core Features & Capabilities
| Feature | Status | Description & Capabilities |
|---|---|---|
| LLM Call Tracing & Logging | ✓ Supported | Provides native LLM Call Tracing & Logging capabilities integrated within the API. |
| Token Cost Attribution by User | ✓ Supported | Provides native Token Cost Attribution by User capabilities integrated within the API. |
| Prompt Version Control & Rollbacks | ✓ Supported | Provides native Prompt Version Control & Rollbacks capabilities integrated within the API. |
| User Feedback & Annotation Capture | ✓ Supported | Provides native User Feedback & Annotation Capture capabilities integrated within the API. |
| Automated Evaluation Scores | ✓ Supported | Provides native Automated Evaluation Scores capabilities integrated within the API. |
| Self-Hostable (Docker / Kubernetes) | ✓ Supported | Provides native Self-Hostable (Docker / Kubernetes) capabilities integrated within the API. |
- Cloud Hobby tier is free up to 50,000 observations per month
- Fully open-source under MIT for self-hosting on Docker / Kubernetes
Required Access Documents for Langfuse API
- Langfuse Cloud Account or Self-Hosted InstanceRequiredRegister at cloud.langfuse.com or deploy locally
Different Langfuse API use cases
- Customer Support Copilot Tracing:Trace multi-step RAG retrievals and inspect why a chatbot hallucinated a specific answer.
- User Token Spend Monitoring:Track which enterprise clients consume the most OpenAI token budget each billing cycle.
- Prompt Experimentation in Production:A/B test prompt variations directly from the dashboard without redeploying apps.