Hands-on tested · Updated 2026
Completely free - no payment needed.
Where it falls short
May require some technical background
traceAI is an open-source OpenTelemetry-native tracing framework designed specifically for LLM and AI agent applications. It can automatically instrument over 20 frameworks, significantly simplifying the monitoring and debugging of AI application performance. The tool is free to use and suitable for developers and teams in need of efficient tracking of AI application performance.
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traceAI is an open-source AI application tracing tool. Clone the repo.
View GitHub RepoFollow README to install. Configure trace data storage backend (local files or database).
Use local storage for development, database for production persistence and querying.
Add traceAI decorators or context managers to AI call code. Auto-records inputs and outputs.
Add tags to different functional modules for easier filtering in trace data.
View trace logs, analyze call chains, time distribution, error causes. Optimize AI app performance.
Focus on tail latency (P99) rather than averages to find severe issues affecting few users.
Ideal for developers who need to monitor and debug AI application performance, especially those using frameworks like OpenAI, Anthropic, LangChain, etc. ## How to Use 1. Visit the official website to download traceAI 2. Install traceAI into your development environment 3. Configure your AI application to use traceAI 4. Run your AI application and view the instrumented data
traceAI is a free tool. Visit the official website for detailed pricing.
View pricing →| Tool | Rating | Pricing | Best For |
|---|---|---|---|
| traceAI ★ | 0/5 | Free | AI Model |
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