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Langfuse Roadmap

Langfuse is open source and we want to be fully transparent what we’re working on and what’s next. This roadmap is a living document and we’ll update it as we make progress.

Your feedback is highly appreciated. Feel like something is missing? Add new ideas on GitHub or vote on existing ones. Both are a great way to contribute to Langfuse and help us understand what is important to you.

🚀 Released

10 most recent changelog items:

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🚧 In progress

  • Tracing
    • Make Langfuse SDKs OpenTelemetry native, Langfuse Server already supports OpenTelemetry (docs)
  • Evaluation
    • Improvements to core eval views (e.g. compare run view)
    • Annotate dataset experiments
  • UI/UX: improvements of all core product features

🔮 Planned

  • Agent Observability: Improve native support for agentic applications
    • Generalized agent graphs (#2669), beta available for LangGraph (docs)
    • Filtering for tool calls used within an execution
    • Opinionated agent evaluations
  • Evaluation
    • Non-LLM evaluators: classifiers, custom code, regex, etc. (#4671, #6087)
    • Evals on repeated spans/observations within a trace
    • Comparisons of different evaluation metrics
    • Improvements to Langfuse SDK to simplify creation of experiments
    • End-to-end examples on how to run Langfuse Experiments as regression tests in CI/CD pipelines
    • Add tracing to LLM-as-a-judge evals for better observability (debugging and cost tracking)
  • Prompt Management
    • Placeholders for chat messages (#2210)
    • Track prompt variables in production tracing, simplify adding to datasets and running prompt experiments (#5242)
    • LLM-assisted prompt engineering
    • A/B testing
    • Native support for tool calls (#2624)
  • Data Platform
    • Webhooks to subscribe to changes within your Langfuse project (#1033)
    • Alerts: Create alerts for custom metric thresholds, errors, etc. (#3997)
    • Rule-based routing between Langfuse product features
  • Prompt Experiments & Playground
    • Split view to compare different LLMs and prompts side by side before running a prompt experiment
    • Add tool-call and structured output support to prompt experiments (#5958)
  • Langfuse Cloud
    • Usage based billing alerts

🙏 Feature requests and bug reports

The best way to support Langfuse is to share your feedback, report bugs, and upvote on ideas suggested by others.

Feature requests

Bug reports

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