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New Relic AI Monitoring

by New Relic

Full-stack observability for AI applications with LLM tracing, agent and MCP call visibility, token cost tracking and model comparison.

Starting priceFree tier: 100 GB and 1 user free
Free trialNo

About

Full-stack observability for AI applications with LLM tracing, agent and MCP call visibility, token cost tracking and model comparison.

New Relic AI Monitoring gives teams full-stack observability for AI-powered applications, with performance insights and cost control across the apps, infrastructure and AI layer. It works without new instrumentation and ships built-in integrations for models such as OpenAI, vector databases such as Pinecone and frameworks such as LangChain.

Teams can trace entire requests from prompt to response, map interactions between AI agents, inspect tool calls and follow the full Model Context Protocol request lifecycle. Token usage tracking with custom alerts, model comparison on cost, performance and quality, and checks for bias, hallucination and toxicity round out the product.

Key features

LLM tracing from prompt to response; AI agent interaction mapping; MCP request lifecycle monitoring; Token and cost tracking with alerts; Model comparison for cost, performance and quality; Bias, hallucination and toxicity detection; Built-in OpenAI, Pinecone and LangChain integrations; OpenTelemetry AI stack parity

Product details

Vendor

New Relic

Category

AI Agent Observability & Evals

Starting price

Free tier: 100 GB and 1 user free

Free trial

No

Pricing

Free tier: 100 GB and 1 user freeNo free trial
Visit website for full pricing details

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