Simple, open-source LLM tracing for AI agents. Track prompts, completions, latency, token usage, and cost.
Features
- End-to-end LLM call tracing
- Prompt and completion replay
- Token and cost analytics
- Latency and performance analysis
- Open-source self-hosting
- Fast TypeScript ecosystem integration
Use Cases
- AI agent debugging and troubleshooting
- Model usage cost governance
- Prompt effectiveness optimization
- Production observability setup
- Team-level AI quality monitoring
- LLM app development acceleration
FAQ
Simple, open-source LLM tracing for AI agents. Track prompts, completions, latency, token usage, and cost. Core capabilities include: End-to-end LLM call tracing, Prompt and completion replay, Token and cost analytics.
Common scenarios include: AI agent debugging and troubleshooting, Model usage cost governance, Prompt effectiveness optimization.
