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Datadog · LLM observability

7 skills found.
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1

Tune and review Langfuse autoscaling for web, web-iso, and web-ingestion.

langfuse/langfuse36k—~4.4kAutomated safety check: PassUnknowntoday
2

Prepare Langfuse weekly production reviews covering failures, fixes, open issues, and tracking gaps.

langfuse/langfuse36k—~4.1kAutomated safety check: PassUnknowntoday
3

Research Langfuse production telemetry with reusable Datadog queries.

langfuse/langfuse36k—~824Automated safety check: PassUnknowntoday
4

Establish root cause by combining Datadog telemetry with the Langfuse repo.

langfuse/langfuse36k—~1.6kAutomated safety check: PassUnknowntoday
5

Add OpenTelemetry traces to an AG2 beta Agent via TelemetryMiddleware (autogen.beta.middleware.builtin).

ag2ai/build-with-ag2252—~1.9kAutomated safety check: PassApache-2.01 mo ago
6

Instrument the current project with Datadog LLM Observability for Python or Node.js/Next.js backends that call LLMs or run AI agents.

datadog-labs/agent-skills177—~2.9kAutomated safety check: PassMIT2 days ago
7

Recommends the right Datadog products for a codebase and/or a stated goal — grounded in a tech-stack→product map and a use-case→product map built from Datadog product capabilities and common…

datadog-labs/agent-skills177—~12kAutomated safety check: PassMIT2 days ago