DocsIntegrationsOverview

Langfuse Integrations 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

Main Integrations

IntegrationSupportsDescription
SDKPython, JS/TSManual instrumentation using the SDKs for full flexibility.
OpenAIPython, JS/TSAutomated instrumentation using drop-in replacement of OpenAI SDK.
LangchainPython, JS/TSAutomated instrumentation by passing callback handler to Langchain application.
LlamaIndexPythonAutomated instrumentation via LlamaIndex callback system.
HaystackPythonAutomated instrumentation via Haystack content tracing system.
LiteLLMPython, JS/TS (proxy only)Use any LLM as a drop in replacement for GPT. Use Azure, OpenAI, Cohere, Anthropic, Ollama, VLLM, Sagemaker, HuggingFace, Replicate (100+ LLMs).
Vercel AI SDKJS/TSTypeScript toolkit designed to help developers build AI-powered applications with React, Next.js, Vue, Svelte, Node.js.
APIDirectly call the public API. OpenAPI spec available.

Packages integrated with Langfuse

NameTypeDescription
InstructorLibraryLibrary to get structured LLM outputs (JSON, Pydantic)
DSPyLibraryFramework that systematically optimizes language model prompts and weights
MirascopeLibraryPython toolkit for building LLM applications.
OllamaModel (local)Easily run open source LLMs on your own machine.
Amazon BedrockModelRun foundation and fine-tuned models on AWS.
FlowiseChat/Agent UIJS/TS no-code builder for customized LLM flows.
LangflowChat/Agent UIPython-based UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
DifyChat/Agent UIOpen source LLM app development platform with no-code builder.
OpenWebUIChat/Agent UISelf-hosted LLM Chat web ui supporting various LLM runners including self-hosted and local models.
PromptfooToolOpen source LLM testing platform.

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

Request a new integration

We use GitHub Discussions to track interest in new integrations. Please upvote/add to the list below if you’d like to see a new integration.

End to end examples

If you want to see how things work together, you can look at the end-to-end examples below. They are Jupyter notebooks that you can easily run in Google Colab or locally.

Generally, we recommend reading the get started guides for each integration first.

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