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Última actualización 9 de oct. de 2025

Microsoft Azure AI Foundry features table

See the following table for an overview of the capabilities offered by the connector when executing agents in agentic processes.

Feature AreaFunciónFoundry AI Agent in Maestro
AutenticaciónSingle token, Bearer token (e.g. Personal Access Token).No
AutenticaciónService Principal-based authentication (e.g., service key, OAuth 2.0).
AutenticaciónUser-delegated, token-based authentication (e.g., On-Behalf-Of, OpenID).
Project DiscoveryDiscover available projects based on authentication.No (provided by the user)
Agent DiscoveryDiscover available agents.Yes (lists all agents in a project)
InvocationSupports synchronous (request-response) invocation.No
InvocationSupports streaming invocation (Server-Sent Events).No
InvocationSupports asynchronous invocation with polling or webhook/callback.
InvocationAbility to specify the agent's tools/skills within the API request. Yes (in Prompt)
Session ManagementMaintains conversational context via session IDs and allows for the retrieval of event history from an ongoing session. Yes (use of thread_id within Manage Properties in Maestro)
Output ControlsEnforces structured, schema-adherent JSON output from agents.No
Content HandlingSupports multi-modal content exchange (e.g., binary files, images, audio). Partial (possible if the developer encodes the output and sends it in the prompt)
ObservabilityProvides comprehensive observability through togglable verbose tracing, OTEL-formatted traces, and cross-platform correlation IDs. Yes (in Azure Foundry Portal)
Consumption & AttributionTracks and attributes AI consumption (tokens/units) per response for cost analysis. Yes (in Portal)
Control de versionesEnables agent versioning for CI/CD workflows, targeted invocations by version number (e.g., GA, preview), and rollbacks. No
Administración de erroresDelivers structured, detailed error messages (reason, domain, metadata) for advanced debugging and conditional logic.

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