01 What is it?
Datadog LLM Observability brings prompts, traces, evaluations and cost tracking for LLM and agent applications inside the Datadog platform. It is the natural fit for enterprises that already run Datadog and want LLM observability without standing up a separate platform.
02 Why implement it?
- One platform for infra, app and LLM observability
- Native traces, evaluations and cost tracking for LLMs
- Strong correlation with traces from the rest of your stack
- Enterprise compliance, SSO, RBAC out of the box
- Native integration with major model providers and frameworks
03 How I help
I integrate Datadog LLM Observability into your agent stack, design the trace and evaluation model, set up alerts on drift, cost and policy violations, and connect traces to your broader Datadog dashboards and runbooks.
04 Expected deliverables
- Datadog LLM Observability integration across your agent stack
- Trace and evaluation model design
- Alerts on drift, cost and policy violations
- Dashboards and runbooks
- Operating model and team enablement