Integration Overview
Integrate your application with Langfuse to explore production traces and metrics.
Objective:
- Capture traces of your application
- Add scores to these traces to measure/evaluate quality of outputs
There are currently six main ways to integrate with Langfuse:
Main Integrations
| Integration | Supports | Description |
|---|---|---|
| SDK | Python, JS/TS | Manual instrumentation using the SDKs for full flexibility. |
| OpenAI | Python, JS/TS | Automated instrumentation using drop-in replacement of OpenAI SDK. |
| Langchain | Python, JS/TS | Automated instrumentation by passing callback handler to Langchain application. |
| LlamaIndex | Python | Automated instrumentation via LlamaIndex callback system. |
| Haystack | Python | Automated instrumentation via Haystack content tracing system. |
| LiteLLM | Python, 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). |
| API | Directly call the public API. OpenAPI spec available. |
Packages integrated with Langfuse
| Name | Description |
|---|---|
| Instructor | Library to get structured LLM outputs (JSON, Pydantic) |
| Mirascope | Python toolkit for building LLM applications. |
| AI SDK by Vercel | Typescript SDK that makes streaming LLM outputs super easy. |
| Flowise | JS/TS no-code builder for customized LLM flows. |
| Langflow | Python-based UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows. |
| Superagent | 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.