Real-time monitoring of LLM/AI agent execution logs, costs, and performance.
Get started with just 3 lines of code.
Identify root causes and share insights easily.
API costs are rising, but you can't identify which feature is responsible
LLM errors in production go unnoticed for too long
Responses are slow, but you can't identify the bottleneck
Unable to review what was responded to users after the fact
No way to share AI usage metrics with your team
Four key features for complete AI operations support
Integrate with minimal changes to your existing code
tracer = AITracer(api_key="at-xxxx")
client = tracer.wrap_openai(OpenAI())
# That's it! All API calls are now automatically logged
View request counts, costs, and latency in real-time
Plans that scale from startups to enterprise
For personal dev & testing
For small teams
For growing teams
For large organizations
Monitor your LLMs as-is
Coming Soon: Azure OpenAI / AWS Bedrock / Cohere
Your data is protected with enterprise-grade security
TLS 1.3
Auto-masking of personal data
All operations recorded
GDPR compliant
99.9% SLA
Just wrap your OpenAI client - your existing code works as-is. Changes are typically just a few lines.
With async processing, the overhead is less than 3ms. Safe to use in production environments.
Yes, available with the Enterprise plan. Please contact us for details.
The Free plan includes 1,000 logs per month, 7-day data retention, and 1 user.
We support OpenAI, Anthropic (Claude), and Google Gemini. LangChain is also supported.
Data is stored in AWS Tokyo region (ap-northeast-1). Enterprise plans can choose custom regions.