---
title: "Overview"
sidebarTitle: Overview
---

# Overview

Langfuse is designed to be the most open and flexible platform for LLM engineering that integrates with all the major LLM providers, frameworks, and tools.
See a full list of integrations below.

Langfuse is based on OpenTelemetry. Use the Python SDK or JS/TS SDK to log traces to Langfuse. Alternatively, you can also directly use our [OpenTelemetry Endpoint](/integrations/native/opentelemetry) from any language.

Not sure which integration to use? Use  to discuss your options.

New to instrumenting an LLM application? [Tracing in the Langfuse Academy](/academy/tracing) explains how traces are structured and what to capture, which applies whichever integration you pick.

Cannot find the integration you are interested in? [Request an integration via GitHub discussions below.](#request-integration)

## Native [#native]

## Frameworks [#frameworks]

## Model Providers [#model-providers]

## Gateways [#gateways]

## No-Code [#no-code]

## Analytics [#analytics]

## Developer Tools [#developer-tools]

## Other [#other]

## Request a new integration [#request-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.

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## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/integrations.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.