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:
- Improved cost tracking
- Langfuse v3 stable release
- Extensive example notebook for JS/TS SDK
- SSO with GitHub Enterprise and Keycloak
- New documentation for Google Vertex AI and Gemini tracing
- Google Vertex AI support for LLM Playground and Evaluations incl. Gemini models
- Prompt Experiments on Datasets with LLM-as-a-Judge Evaluations
- All new Datasets, Experimentation and Evaluation documentation
- Full multi-modal support, including audio, images, and attachments
- LLM-as-a-judge Evaluators for Dataset Experiments
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🚧 In progress
- Export traces and sessions from Langfuse dashboard (CSV, JSON)
- Improved tables across the Langfuse UI to display all relevant information and be more user-friendly.
- Move to SDK references generated from docstrings to improve the developer experience (Intellisense) and reduce the risk of errors.
- Improve cost tracking of multi-modal LLMs and more complex pricing models (e.g. Anthropic/Google Context Caching, Google Vertex pricing)
🔮 Planned
- Webhooks to subscribe to changes within your Langfuse project.
- Datasets: make them usable in CI (e.g GitHub Actions).
- Improved datasets UI/UX.
- Add non-LLM evaluators to online evaluation within Langfuse UI.
- Revamped context-aware JS integration to remove the need for nesting of tracing calls, similar to Python decorator.
⚠️ Upcoming breaking changes
- OpenAI integration, dropping support of
openai < 1.0.0to greatly simplify the integration and improve the developer experience of everyone onopenai >= 1. No timeline on this yet as many libraries still depend on the old version.
🙏 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.