Integrate your application with Langfuse to explore production traces and metrics.
- Capture traces of your application
- Add scores to these traces to measure/evaluate quality of outputs
There are currently four main ways to integrate with Langfuse:
|Manual instrumentation using the SDKs for full flexibility.
|Automated instrumentation using drop-in replacement of OpenAI SDK.
|Automated instrumentation by passing callback handler to Langchain application.
|Directly call the public API. OpenAPI spec available.
In addition, Langfuse is natively integrated with the following projects/packages:
|JS/TS no-code builder for customized LLM flows.
|Python-based UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
|Use any LLM as a drop in replacement for GPT. Use Azure, OpenAI, Cohere, Anthropic, Ollama, VLLM, Sagemaker, HuggingFace, Replicate (100+ LLMs).
|Open Source AI Assistant Framework & API for prototyping and deployment of agents.
Unsure which integration to choose? Ask us on Discord or in the chat.