Grant Free: $0/month with one project and monthly check-ins. Grant Pro: $49/month ($40/month billed yearly, 2 months free) with daily check-ins across five projects. Grant Studio: $149/month ($124/month billed yearly, 2 months free) with check-ins every six hours across fifteen projects.
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
AI-powered DevOps team with specialized agents for CI, costs, runtime, security and dependencies
Draft pull requests for supported dependency and compatibility fixes
Multi-channel access via Slack, dashboard, or MCP client
AWS cost tracking with forecasting and budget variance analysis
Security findings aggregation from GitHub and AWS Security Hub
World State monitoring for API changes and dependency updates
Decision tracking and follow-up management
Executive reporting and one-pagers on Studio and Enterprise
Agent security testing for prompt injection and AI risks
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
Complete AI DevOps team as a service, eliminating need to hire
Nothing merges or deploys without human approval and review
Specialized AI agents that each own specific operational domains
Evidence-based findings with citations from your actual sources
Works with your existing tools: GitHub, AWS, Slack, and your own AI providers
Since.dev