New Relic AI Monitoring
ExternalNew Relic AI Monitoring provides full-stack observability for AI applications, enabling fast setup with existing agents and end-to-end tracing from prompts to models, tools, databases, and APIs. It offers unified visibility across apps, infrastructure, LLMs, agent workflows, performance, quality, costs, and compliance, helping teams troubleshoot issues, reduce hallucinations, control expenses, and ensure security. Ideal for enterprises building and scaling production AI apps, it integrates with OpenAI, LangChain, Pinecone, and more for comprehensive monitoring.
Description
New Relic AI Monitoring provides full-stack observability for AI applications, enabling fast setup with existing agents and end-to-end tracing from prompts to models, tools, databases, and APIs. It offers unified visibility across apps, infrastructure, LLMs, agent workflows, performance, quality, costs, and compliance, helping teams troubleshoot issues, reduce hallucinations, control expenses, and ensure security. Ideal for enterprises building and scaling production AI apps, it integrates with OpenAI, LangChain, Pinecone, and more for comprehensive monitoring.
Key capabilities
- End-to-end tracing from prompt to model to tools to DBs/APIs/queues
- Single-pane visibility for apps, infra, LLMs, and agent workflows
- MCP lifecycle monitoring, model inventory, AI responses, and costs
- Fast setup with no extra instrumentation using existing New Relic agents
- Integrations with OpenAI, Pinecone, LangChain, and others
Core use cases
- 1.Building and running AI applications with full observability
- 2.Monitoring agentic workflows and MCP server calls
- 3.Optimizing LLM performance, quality, and costs
- 4.Troubleshooting AI issues across the stack
- 5.Managing ML models for predictions, drift, and alerts
Is New Relic AI Monitoring Right for You?
Best for
- Large enterprises and tech-driven teams needing comprehensive analytics across complex stacks
- Organizations building AI applications for performance, quality, and cost control
Not ideal for
- Small businesses or non-technical teams due to complexity and high costs
- Regulated industries like HIPAA or FedRAMP due to AI feature restrictions
Standout features
- Automatic detection of tools/functions in MCP calls
- Response inspection to spot outliers and improve quality
- Token tracking, cost alerts, and model comparisons
- Built-in ML monitoring dashboards
- Security against misuse with New Relic Security RX
- 30+ AI monitoring features on one platform
Pricing
Standard
Free
Pro
Enterprise
User Feedback Highlights
Most Praised
- Unified monitoring and visibility across performance, logs, traces, and infrastructure
- Intuitive UI with powerful customizable dashboards
- Real-time performance insights and flexible alerting
- Effortless instrumentation and quick onboarding for AI apps
- AI Model Inventory for requests, errors, performance, and costs
Common Complaints
- High and escalating costs as usage grows
- Steep learning curve and overwhelming for new users
- Complexity due to feature-rich nature
- Regulatory restrictions for HIPAA or FedRAMP accounts