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:
- Langfuse Java Client
- OpenAI GPT-4.5 support
- Improved In-Product Onboarding
- Claude 3.7 Sonnet support
- Google AI Studio support
- Execute LLM-as-a-judge evaluations on existing data
- Model Context Protocol Prompt Server
- OpenTelemetry Tracing Support
- Open Source LLMOps Stack
- Graph view for LangGraph traces
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🚧 In progress
- UI/UX: improvements of all core product features
- Visualizations of agent executions, e.g. Graph (#2669); beta available for LangGraph
- Tracing Environments: Native support for separating different environments within a project (#5005)
- Prompt Management
- Evaluation
- Non-LLM evaluators: classifiers, custom code, regex, etc.
- Evals on repeated spans/observations within a trace
- Comparisons of different evaluation metrics
- Session-level scores (#2728)
- Self-serve dashboards: Create and share custom dashboards based on metrics extracted from traces (#1011)
- Onboarding: simplify getting started with Langfuse when not reading the docs
🔮 Planned
- Agent Observability: Improve native support for agentic applications
- Filtering for tool calls used within an execution
- Opinionated agent evaluations
- Tracing Enhancements
- Realtime LLM: Bespoke traces for datastreams of realtime APIs, especially multi-modal (#4757)
- Full-text search: Search across the inputs/outputs of traces, sessions, and datasets (#939)
- Data Platform
- Webhooks to subscribe to changes within your Langfuse project (#1033)
- Batched exports to own storage buckets for downstream use and archival
- Rule-based routing between Langfuse product features
🙏 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.