OpenTelemetry-based tracing and observability for prompts, model calls, tool spans, tokens, latency, and errors in production AI applications.
Features
- OpenTelemetry compatibility
- Prompt and model-call tracing
- Token and cost visibility
- Tool-call spans
- OTLP data export
Use Cases
- Production LLM monitoring
- Agent trace debugging
- Latency bottleneck analysis
- Token-cost governance
- Error root-cause analysis
FAQ
TraceLLM targets production LLM applications with OpenTelemetry-compatible traces for prompts, model calls, tool spans, token usage, latency, and errors. It exports through OTLP so teams can connect existing observability stacks and investigate complex agent workflows. Core capabilities include: OpenTelemetry compatibility, Prompt and model-call tracing, Token and cost visibility.
Common scenarios include: Production LLM monitoring, Agent trace debugging, Latency bottleneck analysis.
