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Azure AI Foundry Observability

Microsoft Azure
closed / Overall score: 3.0

Microsoft's GenAI observability surface inside Microsoft Foundry, providing evaluation, monitoring and tracing for LLM applications and agents. It is built on OpenTelemetry and feeds Azure Monitor Application Insights, with built-in evaluators for quality, RAG groundedness and relevance, safety, and agent-specific measures such as tool-call accuracy and task completion. Tracing covers LangChain, LangGraph, the OpenAI Agents SDK and the Microsoft Agent Framework.

Openness

1 high confidence
1.0
license
proprietary(Azure managed service)
source
closed
note
tracing built on open OTel standard + Azure Monitor App Insights, but the observability product is proprietary and Azure-locked

Proprietary Microsoft Azure managed offering. OTel is the wire standard (trace data is portable) but the service itself is closed.

  • https://learn.microsoft.com/en-us/azure/foundry/concepts/observability recorded 2026-09-22

    "Observability in generative AI" on Microsoft Learn. "Microsoft Foundry provides three core capabilities that work together to deliver comprehensive observability across the AI application lifecycle", the tracing one being "Built on OpenTelemetry standards and integrated with Azure Monitor Application Insights". OpenTelemetry is the wire format; the service consuming it is Azure's and is not published.

Adoption

3 low confidence
3.0

Azure AI Foundry Observability is a feature surface within Microsoft's larger Foundry platform, and Microsoft publishes no separate usage figure for it. The reading instead reflects the reach of Microsoft Foundry as a platform, not a measured count of people using this observability capability itself.

  • https://learn.microsoft.com/en-us/azure/foundry/concepts/observability recorded 2026-08-13

    The concept page, read for a usage figure and containing none - no customer count, no account count, no volume. It describes observability as three core capabilities of Microsoft Foundry, which places it inside the platform without saying how many people use it. No GA date appears on the page.

Capability

3 medium confidence
3.0

Azure AI Foundry Observability covers tracing, monitoring and evaluation with auto-instrumentation for major agent frameworks, but prompt management, datasets and annotation are not documented as native features, leaving it a step behind Langfuse.

  • https://learn.microsoft.com/en-us/azure/foundry/concepts/observability recorded 2026-09-29

    Concept page: "Microsoft Foundry provides three core capabilities that work together to deliver comprehensive observability across the AI application lifecycle" with evaluators for "agent-specific metrics (tool call accuracy, task completion)" and tracing "Built on OpenTelemetry standards and integrated with Azure Monitor Application Insights", supporting "LangChain, LangGraph, the OpenAI Agents SDK, and the Microsoft Agent Framework". Searched the body for prompt management and annotation as native features: none.

  • https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/trace-agent-framework recorded 2026-09-29

    Tracing how-to: "Agents built with either framework automatically emit traces when tracing is enabled for your Foundry project" covers Microsoft Agent Framework and Semantic Kernel, and "Tracing integration for LangChain and LangGraph is currently available only in Python."

Verified 2026-09-22, except some scores, still awaiting re-confirmation