Your Prompt Management and LLM Performance solution

Optimize, iterate, and track your prompts like never before. Our Prompt Ops tool (powered by Langfuse's core functionality) provides the essential infrastructure for prompt engineering at scale. Analyze prompt performance, identify areas for improvement, and manage your prompt versions efficiently. Get faster, more reliable, and cost-effective results from your LLMs. Perfect for streamlining workflows, ensuring consistency, and maximizing the impact of your AI applications.

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Features that support the entire Prompt and LLM development Workflow

  • Organize, version, and deploy your prompts with ease. Stop losing track of your best-performing prompts and streamline your workflow. Our prompt management system gives you full control over your prompt library, ensuring consistency and repeatability across your applications.

    • Version Control: Track changes and revert to previous prompt versions with a clear history.

    • Centralized Repository: Store all your prompts in one secure and easily accessible location.

    • Collaboration: Share prompts with your team and collaborate on prompt engineering efforts.

  • Experiment and iterate on your prompts in a risk-free environment. Our integrated Playground allows you to test different prompts and models side-by-side, enabling you to quickly identify the optimal combination for your specific use case.

    • Real-time Results: See the output of your prompts instantly, allowing for rapid iteration.

    • Model Selection: Easily switch between different LLMs to compare their performance on the same prompt.

    • Parameter Tweaking: Adjust model parameters like temperature and top_p to fine-tune your results.

  • Dive deep into the inner workings of your LLM applications. Our detailed tracing capabilities provide comprehensive visibility into the entire request lifecycle, allowing you to identify bottlenecks, debug errors, and optimize performance in production.

    • End-to-End Visibility: Track the flow of data from user input to LLM output.

    • Granular Data: Inspect individual tokens, API calls, and intermediate steps.

    • Root Cause Analysis: Quickly identify the source of errors and performance issues.

  • Quantify the effectiveness of your prompts and models. Our evaluation tools allow you to collect user feedback and run automated tests, providing objective metrics to guide your prompt engineering efforts.

    • User Feedback Integration: Gather ratings and comments from users to understand real-world performance.

    • Automated Testing: Run pre-defined test cases to ensure prompt quality and consistency.

    • Performance Benchmarks: Track key metrics like accuracy, fluency, and relevance over time.

  • Harness the power of your production data. Our datasets feature enables you to automatically derive test datasets from real-world usage, ensuring that your prompts are optimized for the scenarios they'll encounter in production.

    • Automated Data Extraction: Quickly create datasets from your production logs and telemetry.

    • Representative Samples: Ensure your test data accurately reflects the distribution of real-world inputs.

    • Data Anonymization: Protect user privacy by automatically anonymizing sensitive data in your datasets.

  • Monitor the performance and efficiency of your LLM applications. Our metrics dashboard provides real-time insights into key performance indicators (KPIs) such as cost, usage, and latency, allowing you to optimize your prompts and models for maximum ROI.

    • Cost Tracking: Monitor your LLM spending and identify areas for cost optimization.

    • Usage Analysis: Understand how your prompts are being used and identify potential bottlenecks.

    • Latency Monitoring: Track the response time of your LLM applications and ensure a smooth user experience.

Langfuse Open Source Software

Organization that trust Langfuse to manage their Prompt Ops

Never Start from Scratch

Use AI to generate your first draft including the prompt, variables, output json, and multiple test cases.

Get setup in your environment

Deployed in your environment, taught to your teams, and maintained to stay up to date with most common Langfuse release.