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Integration Overview

Integrate your application with Langfuse to explore production traces and metrics.

Objective:

  1. Capture traces of your application
  2. Add scores to these traces to measure/evaluate quality of outputs

There are currently four main ways to integrate with Langfuse:

IntegrationSupportsDescription
SDKPython, JS/TSManual instrumentation using the SDKs for full flexibility.
OpenAIPythonAutomated instrumentation using drop-in replacement of OpenAI SDK.
LangchainPython, JS/TSAutomated instrumentation by passing callback handler to Langchain application.
APIDirectly call the public API. OpenAPI spec available.

In addition, Langfuse is natively integrated with the following projects/packages:

NameDescription
FlowiseJS/TS no-code builder for customized LLM flows.
LangflowPython-based UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
LiteLLMUse any LLM as a drop in replacement for GPT. Use Azure, OpenAI, Cohere, Anthropic, Ollama, VLLM, Sagemaker, HuggingFace, Replicate (100+ LLMs).
SuperagentOpen Source AI Assistant Framework & API for prototyping and deployment of agents.

Unsure which integration to choose? Ask us on Discord or in the chat.

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