Solo: Free, then $0.01 per external tool call (1,500 free calls to start). Pro: $49/month with 10,000 included calls, then $0.01 per additional call. Scale: $199/month with 50,000 included calls, then $0.01 per additional call. Enterprise: Custom pricing with invoicing for more than 3 workspaces or
Key features
Hierarchical traces capture every LLM call, tool invocation, and retrieval step
LLM-as-a-judge, heuristic functions, or human review evaluations
Prompt management with one-click deployments and rollbacks
Playground to test prompts on real production inputs and compare models
Experiments with test cases and side-by-side comparison
Human annotation and collaborative human-in-the-loop workflows
Cost and latency monitoring with dashboards and alerts
REST APIs and Query SDK for data access
Langfuse Assistant to automate the AI engineering loop
122+ managed connectors to business tools
Skills: reusable procedures for consistent AI execution
Tables: persistent records AI maintains between chats
Secure client connections without password sharing
Team profiles with per-user tool permissions
98.7% token reduction vs loading all tools at once
Works with Claude and ChatGPT through MCP protocol
What makes it different
MIT licensed open source platform with no data lock-in
Enterprise scale architecture handling billions of monthly events
Works with any language and framework with no framework lock-in
Async by default so tracing never blocks your application
Works across 120+ tools in one MCP connection, no coding required
Encrypted credentials kept separate from AI, with granular access control
98.7% fewer tokens through on-demand tool loading and server-side queries
FloConnector