LLM Observability

Datadog LLM Observability

Monitor, troubleshoot, improve, and secure your LLM Applications.

Expedite Troubleshooting of Your LLM Applications

Gain full visibility into end-to-end traces for each user request, allowing you to quickly pinpoint the root causes of errors and failures in your LLM chain
Analyze inputs and outputs at each step of the LLM chain to quickly resolve issues such as failed LLM calls, task interruptions, and service interactions
Improve the accuracy and relevance of your LLM outputs by identifying and correcting errors in the embedding and retrieval steps, and optimize the performance of Retrieval-Augmented Generation (RAG) systems

Optimize resource use and reduce costs across all major LLMs with key operational metrics, including cost, usage patterns, and latency trends
Swiftly take action to maintain optimal performance of LLM applications with real-time alerts on anomalies, such as spikes in latency or errors
Instantly uncover opportunities for performance and cost optimization with comprehensive data on latency and token usage across the entire LLM chain

Easily spot and address quality concerns, such as missing responses or off-topic content, with turnkey quality evaluations
Enhance business-critical KPIs, and detect hallucinations, by implementing custom evaluations that accurately assess and improve the performance of your LLM applications
Automatically detect drifts in production and optimize your LLMs by isolating and addressing low-quality prompt-response clusters with similar semantics

Visualize every decision and action in your multi-agent workflows, from planning steps to tool usage, to understand exactly how outcomes are produced
Pinpoint issues fast by tracing interactions between agents, tools, and models to find the root cause of errors, latency spikes, or poor responses
Optimize agent behavior with detailed insights into performance metrics, memory usage, and decision-making paths
Correlate agentic monitoring with broader application performance by connecting LLM traces to microservice, API, and user experience data—all in one place

Protect user privacy by preventing the exposure of sensitive data, including PII, emails, and IP addresses, with built-in security measures powered by Datadog's Sensitive Data Scanner
Defend your LLM applications from response manipulation attacks with automated flagging of prompt injection attempts

Datadogを始める5つのステップ

ステップ1

トライアル登録フォームに入力わずか30秒で無料でアカウントを作成。クレジットカードは不要

ステップ2

技術スタックに関する基本的な質問に回答約1分で完了

ステップ3

Datadog エージェントをインストールシステムレベルのメトリクスをDatadogプラットフォームに送信

ステップ4

API経由で追加のメトリクスを取得するための認証情報を提供 AWS、Azure、GCPなどのクラウド環境を完全に可視化

ステップ5

すぐに使えるダッシュボードでパフォーマンスを視覚化環境全体のパフォーマンスをリアルタイムで確認可能