Debug AI Agents Like a Pro
Complete end-to-end tracing. See every LLM call, tool interaction, and decision. Find root causes in seconds, not hours.
AI agents are complex, non-deterministic, and opaque. When something goes wrong, it's hard to know where to start. Noveum.ai's complete tracing solution captures every step of an agent's execution, giving you full visibility.
70%
MTTR Reduction
The Challenge
Why Debugging AI Agents is So Hard
Traditional debugging tools (logs, metrics, profilers) were designed for deterministic software. AI agents are fundamentally different and require a different approach.
The Black Box Problem
LLMs are black boxes. You can see input and output, but not internal reasoning. When an agent produces a wrong answer, you don't know if it's a bad prompt, bad LLM response, or bad tool call.
Non-Deterministic Behavior
The same input can produce different outputs. This makes it hard to reproduce bugs and understand what went wrong. You can't just run the same input again.
Complex Workflows
Modern AI agents are complex multi-step workflows with LLM calls, tool interactions, and decision points. A single failure can be caused by any step.
Inadequate Logging
Traditional logging is insufficient. You need to see not just what happened, but why. What was the LLM's reasoning? What data did the tool return?
Average Debugging Time Without Proper Tracing
Teams without proper AI agent tracing spend hours or days trying to reproduce and debug issues that could be identified in minutes with complete visibility.
The Solution
Noveum.ai Tracing: Complete Visibility
Get complete visibility into your AI agents with hierarchical tracing that captures every operation from the initial prompt to the final output.
What Gets Traced
Every operation your agent performs is captured automatically
End-to-End Tracing
Capture every step of your agent's execution with our lightweight SDK. No manual logging required.
- Every LLM call with prompt, response, tokens, and latency
- Every tool call with inputs, outputs, and timing
- All API calls and database queries
- Custom operations you define
Key Benefits
Why Teams Choose Noveum.ai Tracing
Debug faster, understand better, and deploy with confidence.
Reduce Debugging Time
Find root causes in minutes, not hours. Dramatically reduce Mean Time to Resolution (MTTR).
Understand Agent Behavior
See exactly what your agent is doing at every step. Understand reasoning, decisions, and interactions.
Improve Quality
By understanding what's going wrong, you can make targeted improvements. Fix root causes, not symptoms.
Optimize Performance
See which operations are slow. Identify bottlenecks and optimize them for better latency.
Build Confidence
Deploy agents with confidence knowing you can quickly debug any issues that arise.
Reduce Costs
Identify expensive operations and optimize LLM usage. Save on API costs with targeted improvements.
From Hours to Minutes
Teams using Noveum.ai tracing report finding root causes 70% faster than with traditional logging. Stop guessing and start knowing.
Getting Started
How Tracing Works
Get complete visibility into your agents in three simple steps.
- 1
Install the SDK
Install the Noveum.ai Python SDK with a single command.
- 2
Add Callback Handler
Add the callback handler to your LangChain LLMs for automatic tracing.
- 3
View Traces
Traces flow into Noveum.ai automatically. Start exploring in the dashboard.
Install the SDK
Install the Noveum.ai Python SDK with a single command.
pip install noveum-traceAdd Callback Handler
Add the callback handler to your LangChain LLMs for automatic tracing.
llm = ChatOpenAI(callbacks=[callback_handler])View Traces
Traces flow into Noveum.ai automatically. Start exploring in the dashboard.
noveum.ai/tracesTrace Exploration
The trace viewer gives you complete visibility into agent execution. Here's what you can do:
- 1View the full hierarchy of operations
- 2Click any span to see detailed information
- 3Identify errors and their root causes
- 4Compare traces to find differences
Real-World Applications
How Teams Use Noveum.ai Tracing
See how developers use tracing to debug and optimize their agents.
Debugging Production Issues
An agent is failing in production. View the exact trace of the failure and quickly identify the root cause without reproducing locally.
Example: A support agent gives wrong answers. The trace shows an LLM hallucination in step 3 of a 5-step workflow.
Performance Optimization
An agent is slow. See which operations take the most time and optimize them for better user experience.
Example: A trace shows 80% of latency is in a single tool call. Optimizing that call reduces response time by 60%.
Quality Improvement
An agent produces low-quality outputs. Trace execution to see where quality is degrading and fix the root cause.
Example: Poor outputs traced to context retrieval returning irrelevant documents. Fix the retrieval, fix the quality.
Multi-Agent Debugging
A complex system with multiple agents isn't working. Trace the entire workflow to see how agents are interacting.
Example: Agent A sends wrong data to Agent B. The trace shows exactly where the miscommunication happens.
Why Noveum.ai
Why Noveum.ai Tracing Stands Out
Purpose-built for AI agents, not generic software monitoring.
vs. Traditional Logging
Logs are text-based and hard to parse. You have to grep through thousands of lines to find issues.
Noveum.ai
Structured, hierarchical traces that are easy to explore and understand visually.
vs. APM Tools (Datadog, New Relic)
APM tools are designed for traditional software, not AI agents. They don't understand LLM calls or agent workflows.
Noveum.ai
AI-specific tracing with LLM insights, cost tracking, and integration with evaluation.
vs. Custom Solutions
Building your own tracing system is expensive and time-consuming. Maintenance is a constant burden.
Noveum.ai
Battle-tested, proven solution that works out of the box with any framework.
Unique Features
AI-Specific
Designed specifically for AI agents, not generic software.
Hierarchical
See the full structure of agent execution, not just flat logs.
Lightweight
Minimal overhead; doesn't slow down your agents.
Framework-Agnostic
Works with LangChain, CrewAI, AutoGen, and any custom agents.
Integrated
Integrates with evaluation and AutoFix for a complete solution.
Real-Time
See traces as they happen with live streaming and instant updates.
Stop Flying Blind
Get complete visibility into your AI agents. Debug faster. Deploy with confidence. Start your free trial today.
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