Langfuse Python SDK Installation Important The SDK was rewritten in v3 and released in June 2025. Access via SDKs Both the Langfuse Python SDK and the Configure masking, logging, sampling, multi-project routing, evaluations, and environment-specific behaviors for Python and JS/TS. It provides instrumentation, tracing, evaluation, prompt Custom instrumentation Instrument your application with the Langfuse SDK using the following methods: Context manager The context manager Traces, evals, prompt management and metrics to debug and improve your LLM application. It provides instrumentation, tracing, evaluation, prompt LangfuseのSDK（Python/TypeScriptに対応）を使ってトレース情報の連携処理を埋め込むことで、各プロンプトに対してどのよう Langfuse Tracing integrates with LangChain using LangChain Callbacks (Python, JS). Get started by following the dedicated guide for the Python implementation here: /docs/sdk/python/sdk-v3. Documentation for the legacy Python SDK v2 can be found here. 7 [v3. Automatically capture rich traces and metrics and evaluate The Langfuse Python SDK is an observability and analytics platform for Large Language Model (LLM) applications. OpenTelemetry endpoint Langfuse can Get started with LLM observability with Langfuse in minutes before diving into all platform features. Open source tracing and monitoring for your LangChain application. 🔭 Python SDK v3 is now Generally Available Following extensive testing and community feedback, we’re excited to announce Tracing LangChain Langfuse Tracing integrates with LangChain using LangChain Callbacks (Python, JS). The SDK requires authentication credentials and supports extensive Langfuse v3 is now stable and ready for production use when self-hosting Langfuse, including many scalability and architectural Langfuse Python SDK v3 Demo A comprehensive demonstration of Langfuse Python SDK v3 - showcasing the latest OpenTelemetry-based SDK for LLM observability, Updated langfuse v3. Thereby, the Langfuse SDK Langfuseの活用方法と連携例を知りたい方 Langfuseとは？ Langfuseは、LLMアプリケーションの挙動を可視化するオープンソー If you still get the error, check for multiple Python environments or kernels in Jupyter—make sure you’re using the one Conveniently fetch your LLM Observability traces via the SDKs for few-shotting, fine-tuning or further analysis. Please see our docs for detailed information on this SDK. 0. 0 -> v2. pip install langfuse The Langfuse Python SDK is an observability and analytics platform for Large Language Model (LLM) applications. Thereby, the Langfuse SDK automatically creates a nested Langfuse Python SDK Installation Important The SDK was rewritten in v3 and released in June 2025. decorators and This documentation is for the latest versions of the Langfuse SDKs. Refer to the v3 migration guide for instructions on updating your code. 0] Breaking Changes: Migration issues due to refactoring of langfuse. Python and JS/TS. 59. Follow this guide to get started. Workarounds: Set dummy values for LANGFUSE_SECRET_KEY and LANGFUSE_PUBLIC_KEY in your environment to ensure the SDK initializes correctly, even if . Refer to the v3 migration guidefor instructions on updating your code. Following extensive testing and community feedback, we’re excited to announce that Langfuse Python SDK v3 is now generally available and ready for production use. This page documents the installation process and configuration options for the Langfuse Python SDK. Migrate from Python SDK v2 → v3 and TypeScript SDK v3 → v4 with side-by-side guides. Integrates with Langchain, OpenAI, LlamaIndex, I am using Langfuse Python SDK v3 I am using python along side litellm, so the final litellm_completion logs also only have the single LLM completion rather than the entire trace. Custom instrumentation Instrument your application with the Langfuse SDK using the following methods: Context manager The context manager All Langfuse data and features are available via the API.
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