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.
Want to learn more about Langfuse's vision and next steps? Check out the blog post introducing Langfuse 2.0 and the recording of our townhall (opens in a new tab) during launch week.
🚀 Released
10 most recent changelog items:
- Model-based evaluations
- Datasets v2
- Decorator-based integration for Python
- LLM playground
- PostHog integration
- OpenAI SDK integration for JS/TS SDK
- Docker images on Docker Hub
- ISO 27001 certification
- OpenAI Integration tracks used Langfuse Prompts
- ChatML in Prompt Management
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🧪 Pre-release
- Evaluation service to run custom model-based evals on historical and newly ingested traces (docs)
- Improved datasets UI/UX
Please reach out if you are interested in testing these features before they are released to provide feedback and help shape the future of Langfuse: [email protected].
🚧 In progress
- Manual evaluations in Langfuse UI along multiple dimensions, currently only a single dimension is supported
- Improved datasets UI/UX
- Prompt management: multiple environments, comments on versions, fully-featured API
- Infrastructure: queued ingestion to handle large and spiky loads on small instances
- 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
- SOC2 (Type 2) certification for Langfuse Cloud
🔮 Planned
- Datasets: make them usable in CI (e.g GitHub Actions)
- Infrastructure: add OLAP database for faster analytical queries
⚠️ 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 - Self-hosting: langfuse will move from a single container to a multi-container setup (queues, async worker, OLAP database) to improve scalability and reliability. We will publish an extensive guide once the changes are in pre-release to help everyone migrate.
🙏 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.