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Langfuse

Freemium
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Open source AI engineering platform for tracing, evaluating, prompt management, and metrics to debug and improve LLM applications and AI agents.

ウェブサイト:https://langfuse.com/
追加日:2026年7月13日
月間訪問者数:
957.5K
ソーシャルと電子メール:
LLM ObservabilityAI EngineeringPrompt ManagementLLM EvaluationOpen SourceAI Agents
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Langfuse
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ツール情報

Langfuseとは何ですか?

Langfuse is an open source AI engineering platform that gives teams one place to trace LLM and agent behavior, manage prompts, run evaluations and experiments, and monitor cost and latency. It connects production signals into a continuous loop so developers can understand how applications behave, test improvements, and ship higher-quality AI applications and agents with confidence. The product is MIT-licensed and available as a managed cloud service or fully self-hosted.

コア機能

  • Observability / Tracing

    Hierarchical traces capture every LLM call, tool invocation, and retrieval step, with filtering by user, session, cost, latency, or custom metadata.

  • Evaluation

    Support for LLM-as-a-judge, heuristic functions, or human review, runnable on production data or during experiments.

  • Prompt Management

    Separate prompts from code with one-click deployments and rollbacks so teams can collaboratively improve production prompts.

  • Playground

    Test prompts on real production inputs and compare models side-by-side.

  • Experiments

    Define test cases, run experiments, and compare results side by side.

  • Human Annotation

    Collaborative human-in-the-loop workflows to review traces and create golden datasets.

  • Cost & Latency Monitoring

    Monitor cost, latency, and quality with dashboards and automated alerts.

  • Langfuse CLI

    Command-line interface that wraps the full Langfuse API for AI coding agents and power users to create datasets, pull traces, update prompts, and automate workflows.

  • OpenTelemetry Native & Integrations

    Works with any language and framework supporting OTel instrumentation, plus 100+ integrations including major agent frameworks and model providers.

  • Self-Hosting & Open Source

    MIT-licensed product with self-hosting options via Docker Compose, Kubernetes (Helm), and Terraform for AWS, GCP, and Azure.

使用例

  • #1

    Debug and improve LLM applications

    Use traces, evals, prompt management, and metrics to understand behavior and improve LLM application quality, cost, and latency.

  • #2

    Full LLM engineering loop

    Connect tracing, monitoring, datasets, experiments, and evaluation so production signals drive continuous improvement of agents.

  • #3

    Agent and coding-agent workflows

    Let coding agents (e.g. Cursor, Claude Code) manage Langfuse via CLI to create datasets, pull traces, update prompts, and run common workflows.

  • #4

    Production tracing for generative features

    Trace and debug generative design or other AI features in production, as used by enterprise AI teams.

以下に最適:AI engineers and developers building LLM applicationsTeams building and operating AI agentsPower users and coding agents that prefer CLI/API workflowsOrganizations needing self-hosted or cloud LLM observability at scale

料金プラン

Homepage offers Start free for cloud. Product is open source under MIT license with free self-hosting options (Docker Compose, Kubernetes Helm, Terraform). Exact paid cloud tiers are not clearly detailed in the provided official sources.

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よくある質問

What is Langfuse?
Langfuse is an open source AI engineering platform for tracing, evaluating, prompt management, and metrics. It helps teams debug and improve LLM applications and AI agents by connecting observability, experiments, and evaluation in one continuous loop.
Is Langfuse open source?
Yes. Langfuse is MIT-licensed. All product features are available under the MIT license, and free self-hosting options are provided via Docker Compose, Kubernetes (Helm), and Terraform.
Can I self-host Langfuse?
Yes. Self-hosting is supported with Docker Compose, Kubernetes (Helm), and Terraform for AWS, GCP, and Azure. Cloud hosting is also available with a free starting option.
What can I do with the Langfuse CLI?
The Langfuse CLI wraps the full Langfuse API so AI coding agents and power users can create datasets, pull traces, update prompts, and automate common workflows directly from the terminal.
Which frameworks and model providers does Langfuse integrate with?
Langfuse works with any language and framework that supports OpenTelemetry instrumentation. It also offers native integrations with 100+ tools including LangChain, Vercel AI SDK, LiteLLM, CrewAI, OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, Google Gemini, LlamaIndex, and many others.
How does Langfuse help improve production LLM apps?
It provides hierarchical tracing of every LLM call and tool step, prompt management with one-click deploy and rollback, evaluation (LLM-as-a-judge, heuristics, or human review), experiments, cost and latency monitoring, and human annotation workflows so production data drives continuous improvement.

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ツール情報

料金モデルFreemium
カテゴリライティング
タグ
LLM ObservabilityAI EngineeringPrompt ManagementLLM EvaluationOpen SourceAI Agents
言語英語
最終更新日2026年7月16日
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