traceAI
Open-source LLM tracing that speaks GenAI, not HTTP.
traceAI launched on April 1, 2026 with 273 votes, #85 of 21,248 launches that month and more than 99% of that year's launches.
In plain words
traceAI is an open-source LLM tracing tool designed for developers building generative AI applications. It integrates with OpenTelemetry to capture prompts, completions, tokens, and agent decisions, then routes this data to existing observability platforms like Datadog, Grafana, or Jaeger. Supporting Python, TypeScript, Java, and C#, it works with 35+ frameworks including OpenAI, Anthropic, and LangChain. The tool requires minimal setup—just two lines of code to instrument an entire application—and requires no new vendor platform or dashboard.
written from the facts on this page · September 2026
From the sources
traceAI is OTel-native LLM tracing that actually works with your existing observability stack. ✓ Captures prompts, completions, tokens, retrievals, agent decisions ✓ Follows GenAI semantic conventions correctly ✓ Routes to any OTel backend—Datadog, Grafana, Jaeger, anywhere ✓ Python, TypeScript, Java, C# with full parity ✓ 35+ frameworks: OpenAI, Anthropic, LangChain, CrewAI, DSPy, and more ✓ Two lines of code to instrument your entire app No new vendor. No new dashboard. Open source (MIT).
Open Source AI Tracing Framework built on Opentelemetry for AI Applications and Frameworks - future-agi/traceAI
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