{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/2"}],"enrichment":{"capability":"Provides the host framework and infrastructure for building Azure AI Hosted Agent containers, handling health probes, graceful shutdown, OpenTelemetry tracing, and ASGI serving.","skillfed_tags":["azure-sdk","asgi-framework","observability"],"use_cases":["Build a containerized agent that handles HTTP requests, exports traces to Azure Monitor, and serves on a configurable port with health probes.","Implement multi-user agent sessions where each request carries user identity and call context, with state partitioned per user.","Create a crash-resilient agent using the @task decorator that persists state across container restarts and redeployments.","Set up graceful shutdown for an agent container that drains in-flight requests before exiting with a default 30 s timeout.","Store agent session memory, conversation checkpoints, and per-user preferences in a durable state store with optimistic concurrency."],"what_it_does":"Azure AI Agent Server Core is a Python framework for hosting containerized Azure AI agents. It abstracts away the operational plumbing \u2014 HTTP serving via Hypercorn on a configurable port, health readiness probes, graceful shutdown with request draining, and automatic OpenTelemetry tracing with Azure Monitor and OTLP export \u2014 so that protocol-specific packages can focus on endpoint logic. You subclass AgentServerHost, add your routes, and call run().\n\nThe package includes a durable state store (FoundryStateStore) for persisting agent session memory and per-user state, a @task decorator for building crash-resilient long-running agents that survive container restarts, and request context utilities for multi-user sessions that partition state by user ID while forwarding only the opaque call ID on outbound Foundry calls. Configuration is driven by environment variables (PORT, FOUNDRY_AGENT_NAME, APPLICATIONINSIGHTS_CONNECTION_STRING, OTEL_EXPORTER_OTLP_ENDPOINT, etc.), making it container-friendly.","worth_installing":"Yes. The package is actively maintained (released 8 days ago), has low install friction, carries a permissive MIT license, and solves a concrete problem \u2014 hosting Azure AI agents with production-grade infrastructure (tracing, graceful shutdown, health probes, state persistence) built in. It's in the top 5000 PyPI packages by download volume. Install it if you are building agents for Azure Foundry or need a structured ASGI host with OpenTelemetry and graceful shutdown."},"id":"azure-ai-agentserver-core","links":{"html":"https://skillfed.io/packages/azure-ai-agentserver-core","md":"https://skillfed.io/packages/azure-ai-agentserver-core.md","pypi":"https://pypi.org/project/azure-ai-agentserver-core/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-06","license_spdx":"MIT","license_treatment":"permissive","name":"azure-ai-agentserver-core","python_support":"supports_current","summary":"Foundation utilities and host framework for Azure AI Hosted Agents"},"popularity":{"monthly_downloads":813097,"position":4997,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.0.0"}