Tracing tokens, tools & truth in every LLM call.
Complete observability for your AI agents. Debug, optimize, and understand every interaction.
Key Features
Trace waterfall
Visualize the complete flow of your LLM calls with detailed waterfall diagrams for every request and response.
Live cost & latency
Monitor real-time token usage, costs, and latency metrics to optimize your AI application's performance.
Tool-Use accuracy
Track and verify tool usage accuracy with detailed logs of function calls, parameters, and outcomes.
Zero-friction SDK
Integrate with a single line of code. Works with OpenAI, Anthropic, Groq, and all major LLM providers.
Why Teams Are Joining
Pain Point
Southmunn Solution
Debugging LLM calls is a black box
Complete visibility into every step of the LLM request/response cycle
Unexpected costs from token usage spikes
Real-time cost tracking and usage alerts before budgets are blown
Tool-calling failures are hard to diagnose
Detailed logs of function calls with parameter validation and error tracing
Performance bottlenecks are difficult to identify
Latency breakdowns showing exactly where time is spent in your AI pipeline
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Frequently Asked Questions
A note from our founder
"We built Southmunn after struggling with our own LLM applications. As developers, we needed to understand what was happening inside our AI black boxes. Every team building with LLMs deserves visibility into their systems—that's why we're creating the observability layer the industry needs."
— Obi Akubue, Founder & CEO, Southmunn