Datadog LLM Observability
by Safeguard LLM applications
Enhance performance & security of your large language model
$0.08/month
Datadog LLM Observability provides end-to-end tracing of LLM chains with visibility into input-output, errors, token usage, latency at each step, and robust output quality and security evaluations. By seamlessly correlating LLM traces with APM and utilizing cluster visualization to identify drifts, it enables you to swiftly resolve issues and scale AI applications in production, all while ensuring accuracy and safety.
Top Features
Expedite troubleshooting of your LLM applications and deliver reliable user experiences.
Continuously evaluate and improve the quality of responses from your LLM applications.
Monitor the performance, cost, and health of your LLM applications in real time.
Proactively safeguard your applications and protect user data.
Recommended products
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.
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Datadog LLM Observability - From Chatbots to Autonomous Agents
As companies rapidly adopt Large Language Models (LLMs), understanding their unique challenges becomes crucial.
