The Challenge
Traditional Monitoring Tools Don’t Understand AI Applications
As AI agents become mission-critical, the gap between traditional observability and AI-specific needs grows wider. Without specialized monitoring, you’re flying blind.
Invisible Agent Behavior
Traditional APM tools track HTTP requests, not agent decisions. You can’t see why your agent chose a specific path, used certain tools, or produced particular outputs.
Uncontrolled AI Costs
Token usage spirals out of control without visibility. Teams discover they’re spending 10x more than necessary only when the monthly bill arrives.
Undetected Hallucinations
AI agents confidently produce incorrect information. Without semantic evaluation, these errors slip through to production, damaging trust …
The Challenge
Traditional Monitoring Tools Don’t Understand AI Applications
As AI agents become mission-critical, the gap between traditional observability and AI-specific needs grows wider. Without specialized monitoring, you’re flying blind.
Invisible Agent Behavior
Traditional APM tools track HTTP requests, not agent decisions. You can’t see why your agent chose a specific path, used certain tools, or produced particular outputs.
Uncontrolled AI Costs
Token usage spirals out of control without visibility. Teams discover they’re spending 10x more than necessary only when the monthly bill arrives.
Undetected Hallucinations
AI agents confidently produce incorrect information. Without semantic evaluation, these errors slip through to production, damaging trust and causing real business harm.
Performance Degradation
Latency spikes, timeout errors, and degraded quality go unnoticed until users complain. By then, the damage to user experience is done.
The Cost of Inadequate AI Monitoring
Companies without specialized AI observability report 3x more production incidents, 40% higher AI costs, and significantly longer debugging cycles when issues occur.
85%of AI incidents are preventable with proper monitoring
The Noveum Solution
Purpose-Built AI Agent Monitoring for Production
Noveum.ai provides complete observability designed specifically for AI applications. See everything your agents do, understand why, and optimize performance in real-time.
Real-time AI Dashboard
Monitor all your AI agents from a single pane of glass with AI-specific metrics that actually matter.
Hierarchical Trace Visualization
See the complete flow of multi-agent workflows with parent-child span relationships and tool interactions.
Multi-Agent Workflow Support
Track complex multi-agent systems like CrewAI, AutoGen, and LangGraph with full visibility into agent collaboration.
AI Cost Tracking
Real-time cost attribution per project, agent, and request. Set budgets, get alerts, and optimize spending.
Performance Analytics
P50/P95/P99 latency, throughput, error rates, and token usage trends with customizable time ranges.
Live Monitoring & Alerts
Instant notifications when agents misbehave, costs spike, or performance degrades below thresholds.

Everything You Need to Master AI Operations
Our dashboard gives you complete visibility into your AI agents’ performance, costs, and behavior—all in real-time.
1
Hierarchical Span Tracking
Every LLM call, tool use, and agent decision captured with full context and timing.
2
Latency Breakdown
See exactly where time is spent—LLM inference, tool execution, or data retrieval.
3
Token Usage Analytics
Track input/output tokens per request with cost attribution by provider.
4
Error Analysis
Catch failures fast with detailed error traces and automatic categorization.
Key Features
Enterprise-Grade AI Agent Monitoring
Complete AI Tracing
Capture every interaction in your AI pipeline with hierarchical traces that show the full story.
- Every LLM call with full request/response
- RAG retrieval steps and document context
- Tool and function call execution
Real-time Dashboards
Monitor your entire AI fleet from a single, customizable dashboard built for AI operations.
- Live request volume and latency
- Customizable time ranges and filters
- Project and environment segmentation
Cost Analytics & Optimization
Know exactly what your AI is costing and identify opportunities to optimize spending.
- Token usage by provider and model
- Cost attribution by project and agent
- Budget alerts and spending forecasts
Performance Metrics
Track the metrics that matter for AI applications with percentile-level precision.
- P50/P95/P99 latency tracking
- Throughput and error rate monitoring
- Time-to-first-token analysis
Multi-Framework Support
Works with any AI framework—we meet you where you are, not the other way around.
- LangChain, CrewAI, AutoGen, LangGraph
- OpenAI, Anthropic, AWS Bedrock, Azure
- Custom implementations and direct APIs
73+ Evaluation Scorers
Automatically evaluate AI outputs with our comprehensive scorer library—no manual review needed.
- Accuracy, relevance, and coherence
- Safety, bias, and toxicity detection
- Custom business rule evaluation
Works With Your Entire AI Stack
Seamlessly integrate with all major AI frameworks, providers, and custom implementations.
LangChain
CrewAI
AutoGen
LangGraph
OpenAI
Anthropic
Use Cases
Built for Production AI Workloads
From simple chatbots to complex multi-agent systems, Noveum.ai handles it all.
Quick Start
Start Monitoring in Under 5 Minutes
Our lightweight Python SDK integrates seamlessly with LangChain, LangGraph, and other frameworks. No infrastructure changes required.
01
Install the SDK
Add our lightweight Python SDK to your project with a single command.
pip install noveum-trace
02
Add Your API Key
Set your API key as an environment variable. Organization is inferred automatically.
export NOVEUM_API_KEY=your-api-key
03
Add Callback Handler
Add the callback handler to your LangChain LLMs. That’s it—you’re monitoring!
llm = ChatOpenAI(callbacks=[callback_handler])
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FAQ
Frequently Asked Questions
Everything you need to know about AI Agent Monitoring with Noveum.ai.
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