LLM Monitoring (Beta)

Understand the cost of your AI-powered applications across multiple LLM models, and quickly debug issues by tracing errors back to the sequence of LLM calls.

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Monitor AI-powered applications

Keep LLM token usage and cost under control with visibility across all your AI pipelines. View total cost across different LLM providers and receive alerts when costs or token usage hits certain thresholds.

Connect Sentry to SDKs like OpenAI and Anthropic for more debugging context. View details like user prompts, model version, and the line of code prior to an error.

Optimize the performance of specific AI pipelines by viewing token cost and usage, and visibility into the sequence of calls.

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Getting started with Sentry is simple

We support every technology (except the ones we don't).
Get started with just a few lines of code.

Just run this commmand to sign up for and install Sentry.

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npx @sentry/wizard@latest -i nextjs

Enable Sentry Tracing by adding the below code.

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import * as Sentry from '@sentry/nextjs'; Sentry.init({ dsn: 'https://examplePublicKey@o0.ingest.sentry.io/0', // We recommend adjusting this value in production, or using tracesSampler // for finer control tracesSampleRate: 1.0, });

That's it. Check out our documentation to ensure you have the latest instructions.

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