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.

🚀 Released

10 most recent changelog items:

• OpenAI o3-mini support for playground and cost tracking(Jan 31, 2025)
• Cmd+K Menu(Jan 30, 2025)
• Project-level Data Retention Policies(Jan 30, 2025)
• New API Reference(Jan 30, 2025)
• New Prompt Editor(Jan 30, 2025)
• JS/TS SDK supports trace sampling(Jan 30, 2025)
• Commit Messages on Prompt Versions(Jan 28, 2025)
• Dataset CSV upload(Jan 27, 2025)
• Configure additional HTTP headers for LLM API keys(Jan 23, 2025)
• Track changes between prompt versions(Jan 22, 2025)

🚧 In progress

• Various improvements, including:
  • Typesafe sdk methods for all API routes
  • Evaluation runs on historical data
  • Eval execution states across Langfuse Tracing and Datasets
  • Use JSON path to extract structured data from traces for llm-as-judge evals
  • Save table filters as views
  • “Peek view” for tables, preview trace without switching the page
• Open Telemetry: Add support for OpenTelemetry-based instrumentations by adding an OpenTelemetry exporter/collector (#2509)

🔮 Planned

• Agent Observability: Improve native support for agentic applications
  • Visualizations of agent executions, e.g. Graph (#2669)
  • Filtering for tool calls used within an execution
  • Opinionated agent evaluations
• Tracing Enhancements
  • Environments: Native support for separating different environments within a project (#5005)
  • Realtime LLM: Bespoke traces for datastreams of realtime APIs, especially multi-modal (#4757)
• Prompt Management
  • Custom RBAC for prompt change management (#4480)
  • LLM-assisted prompt engineering
  • Prompt composability to increase reuse of common prompts (#1660)
  • Folders (#4874)
  • Native support for tool calls (#2624)
  • Placeholders for chat messages (#2210)
• 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)
• Query 100s of millions of traces:
  • Full-text search: Search across the inputs/outputs of traces, sessions, and datasets (#939)
  • Self-serve dashboards: Create and share custom dashboards based on metrics extracted from traces (#1011)
• 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
• Other
  • UI/UX: improvements of all core product features
  • Onboarding: simplify getting started with Langfuse when not reading the docs
  • Data retention: Project-level data retention policies (#2268)

🙏 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