TraceLLM
It captures sessions, spans, events, errors, token usage, latency, metadata, and optional prompt or output content. Developers send traces with the TraceLLM SDK, inspect them in the TraceLLM UI, and optionally export OpenTelemetry data to SigNoz.
What You Can Do Today#
- Create a TraceLLM account.
- Create project API keys.
- Configure tracing behavior per project from the UI.
- Send traces from a real Node.js application.
- Test with OpenAI, Anthropic Claude, or Gemini.
- Inspect traces in the custom TraceLLM UI.
- Export project traces over OTLP HTTP to your own observability backend.
Typical Flow#
Create account
-> create API key
-> install SDK
-> run app with real LLM provider
-> inspect trace timeline in TraceLLM UI
-> optionally export traces to SigNoz or another OTLP backendHosted URLs#
| Tool | URL |
|---|---|
| TraceLLM App | https://tracellm.in |
| TraceLLM API | https://api.tracellm.in |
| API Docs | https://api.tracellm.in/api-docs |
Start Here#
Start with the Hosted Quickstart.
Then read the Node SDK Guide and Testing With Real LLM Providers.