01 What is it?
Langfuse is the open-source observability and evaluation platform for LLM applications. It captures every prompt, tool call and trace from your agent stack, then provides evaluations, datasets, prompt management and cost tracking. Langfuse is rapidly becoming the default observability layer for production agentic systems.
02 Why implement it?
- End-to-end traces for every agent run and tool call
- Online and offline evaluations with custom evaluators
- Prompt versioning and A/B testing
- Cost and latency tracking at the call level
- Open source, self-hosted friendly, SDKs for major frameworks
03 How I help
I integrate Langfuse into your existing agent stack (LangGraph, LangChain, OpenAI Agents, Bedrock Agents), design the evaluation harness, set up alerts on drift and policy violations, and pipe traces into your SIEM for audit.
04 Expected deliverables
- Langfuse self-hosted deployment design
- SDK integration across your agent stack
- Evaluation harness with custom evaluators
- Drift and policy-violation alerting
- SIEM integration for audit