Datadog LLM Observability
Safeguard LLM applications
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Expedite troubleshooting of erroneous and inaccurate responses
- Quickly pinpoint root causes of errors and failures in the LLM chain with full visibility into end-to-end traces for each user request.
- Resolve issues like failed LLM calls, tasks, and service interactions by analyzing inputs and outputs at each step of the LLM chain.
- Enhance the relevance of information obtained through Retrieval-Augmented Generation (RAG) by evaluating accuracy and identifying errors in the embedding and retrieval steps.
Evaluate and enhance the response quality of LLM applications
- Easily detect and mitigate quality issues, such as failure to answer and off-topic responses, with out-of-the-box quality evaluations.
- Uncover hallucinations, boost critical KPIs like user feedback, and perform comprehensive LLM assessments with your custom evaluations.
- Refine your LLM app by isolating semantically similar low-quality prompt-response clusters to uncover and address drifts in production.
Improve performance and reduce cost of LLM applications
- Easily monitor key operational metrics for LLM applications like cost, latency, and usage trends with the out-of-the-box unified dashboard.
- Swiftly detect anomalies such as spike in errors, latency, and token usage with real-time alerts to maintain optimal performance.
- Instantly uncover cost optimization opportunities by pinpointing the most token-intensive calls in the LLM chain.
Safeguard LLM applications from security and privacy risks
- Prevent leaks of sensitive data—such as PII, emails, and IP addresses—with built-in security and privacy scanners powered by Sensitive Data Scanner.
- Safeguard your LLM applications from response manipulation attacks with automated flagging of prompt injection attempts.